2022-11-23T01:10:22.0203696Z Requested labels: linux.2xlarge
2022-11-23T01:10:22.0203787Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master
2022-11-23T01:10:22.0203816Z Waiting for a runner to pick up this job...
2022-11-23T01:10:22.3230551Z Job is about to start running on the runner: i-00bd4f051f405c083 (organization)
2022-11-23T01:10:26.1741607Z Current runner version: '2.299.1'
2022-11-23T01:10:26.1747230Z Runner name: 'i-00bd4f051f405c083'
2022-11-23T01:10:26.1747784Z Runner group name: 'Default'
2022-11-23T01:10:26.1748355Z Machine name: 'ip-10-0-9-53'
2022-11-23T01:10:26.1750408Z ##[group]GITHUB_TOKEN Permissions
2022-11-23T01:10:26.1751054Z Actions: write
2022-11-23T01:10:26.1751411Z Checks: write
2022-11-23T01:10:26.1751686Z Contents: write
2022-11-23T01:10:26.1752015Z Deployments: write
2022-11-23T01:10:26.1752372Z Discussions: write
2022-11-23T01:10:26.1752647Z Issues: write
2022-11-23T01:10:26.1752976Z Metadata: read
2022-11-23T01:10:26.1753427Z Packages: write
2022-11-23T01:10:26.1753699Z Pages: write
2022-11-23T01:10:26.1754025Z PullRequests: write
2022-11-23T01:10:26.1754389Z RepositoryProjects: write
2022-11-23T01:10:26.1754735Z SecurityEvents: write
2022-11-23T01:10:26.1755064Z Statuses: write
2022-11-23T01:10:26.1755377Z ##[endgroup]
2022-11-23T01:10:26.1758576Z Secret source: Actions
2022-11-23T01:10:26.1759338Z Prepare workflow directory
2022-11-23T01:10:26.8299376Z Prepare all required actions
2022-11-23T01:10:26.8469537Z Getting action download info
2022-11-23T01:10:27.0271577Z Download action repository 'pytorch/test-infra@main' (SHA:c57ff4d9a93667a5571a80a0e92c3e2674aeedfd)
2022-11-23T01:10:27.3006114Z Download action repository 'pytorch/pytorch@master' (SHA:1cfd3858ac54fe3883534309081631a0a892ba3f)
2022-11-23T01:10:29.8090261Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2022-11-23T01:10:30.0595290Z Getting action download info
2022-11-23T01:10:30.2078437Z Download action repository 'malfet/checkout@silent-checkout' (SHA:c7b8fef48edfe1bca0044a44b1f7f7c4318a3076)
2022-11-23T01:10:30.3684569Z Getting action download info
2022-11-23T01:10:30.5064544Z Download action repository 'nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767' (SHA:7d4a37704547a311dbb66ebdf5b23ec19374a767)
2022-11-23T01:10:30.6453403Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml
2022-11-23T01:10:30.6455009Z ##[group] Inputs
2022-11-23T01:10:30.6455304Z   build-environment: linux-bionic-cuda11.7-py3.10-gcc7
2022-11-23T01:10:30.6456781Z   test-matrix: { include: [
  { config: "default", shard: 1, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "default", shard: 2, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "default", shard: 3, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "default", shard: 4, num_shards: 4, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "functorch", shard: 1, num_shards: 1, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "slow", shard: 1, num_shards: 2, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "slow", shard: 2, num_shards: 2, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "nogpu_AVX512", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
  { config: "nogpu_NO_AVX2", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
  { config: "jit_legacy", shard: 1, num_shards: 1, runner: "linux.4xlarge.nvidia.gpu" },
  { config: "distributed", shard: 1, num_shards: 3, runner: "linux.8xlarge.nvidia.gpu" },
  { config: "distributed", shard: 2, num_shards: 3, runner: "linux.8xlarge.nvidia.gpu" },
  { config: "distributed", shard: 3, num_shards: 3, runner: "linux.8xlarge.nvidia.gpu" },
]}

2022-11-23T01:10:30.6458234Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:10:30.6458595Z   sync-tag: 
2022-11-23T01:10:30.6459347Z   timeout-minutes: 240
2022-11-23T01:10:30.6459537Z ##[endgroup]
2022-11-23T01:10:30.6460022Z Complete job name: linux-bionic-cuda11.7-py3.10-gcc7 / test (nogpu_NO_AVX2, 1, 1, linux.2xlarge)
2022-11-23T01:10:30.7147456Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2022-11-23T01:10:30.7147724Z with:
2022-11-23T01:10:30.7148209Z   github-secret: ***
2022-11-23T01:10:30.7148418Z   activate-with-label: false
2022-11-23T01:10:30.7148613Z   label: with-ssh
2022-11-23T01:10:30.7148901Z   remove-existing-keys: true
2022-11-23T01:10:30.7149090Z env:
2022-11-23T01:10:30.7149264Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:10:30.7149439Z ##[endgroup]
2022-11-23T01:10:30.7906856Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2022-11-23T01:10:30.8072028Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master
2022-11-23T01:10:30.8072331Z with:
2022-11-23T01:10:30.8072583Z   submodules: recursive
2022-11-23T01:10:30.8072800Z   fetch-depth: 0
2022-11-23T01:10:30.8072984Z env:
2022-11-23T01:10:30.8073307Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:10:30.8073532Z ##[endgroup]
2022-11-23T01:10:30.8278206Z ##[group]Run retry () {
2022-11-23T01:10:30.8278494Z retry () {
2022-11-23T01:10:30.8278742Z   $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
2022-11-23T01:10:30.8278986Z }
2022-11-23T01:10:30.8279206Z echo "${GITHUB_WORKSPACE}"
2022-11-23T01:10:30.8279458Z if [ -z "${NO_SUDO}" ]; then
2022-11-23T01:10:30.8279712Z   retry sudo rm -rf "${GITHUB_WORKSPACE}"
2022-11-23T01:10:30.8280091Z else
2022-11-23T01:10:30.8280325Z   retry rm -rf "${GITHUB_WORKSPACE}"
2022-11-23T01:10:30.8280538Z fi
2022-11-23T01:10:30.8280790Z mkdir "${GITHUB_WORKSPACE}"
2022-11-23T01:10:30.8296848Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:10:30.8297115Z env:
2022-11-23T01:10:30.8297331Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:10:30.8297548Z   NO_SUDO: 
2022-11-23T01:10:30.8297739Z ##[endgroup]
2022-11-23T01:10:30.8392323Z /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:10:34.5785810Z ##[group]Run malfet/checkout@silent-checkout
2022-11-23T01:10:34.5786061Z with:
2022-11-23T01:10:34.5786257Z   ref: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:10:34.5786450Z   fetch-depth: 0
2022-11-23T01:10:34.5786631Z   submodules: recursive
2022-11-23T01:10:34.5786818Z   quiet-checkout: true
2022-11-23T01:10:34.5787013Z   repository: pytorch/pytorch
2022-11-23T01:10:34.5787314Z   token: ***
2022-11-23T01:10:34.5787487Z   ssh-strict: true
2022-11-23T01:10:34.5787668Z   persist-credentials: true
2022-11-23T01:10:34.5787858Z   clean: true
2022-11-23T01:10:34.5788032Z   lfs: false
2022-11-23T01:10:34.5788200Z   set-safe-directory: true
2022-11-23T01:10:34.5788379Z env:
2022-11-23T01:10:34.5788550Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:10:34.5788721Z ##[endgroup]
2022-11-23T01:10:34.6878008Z Syncing repository: pytorch/pytorch
2022-11-23T01:10:34.6879526Z ##[group]Getting Git version info
2022-11-23T01:10:34.6879945Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-11-23T01:10:34.6880398Z [command]/usr/bin/git version
2022-11-23T01:10:34.6880594Z git version 2.37.1
2022-11-23T01:10:34.6881133Z ##[endgroup]
2022-11-23T01:10:34.6892720Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/203863b3-a63c-41c1-931b-7e7109e12199' before making global git config changes
2022-11-23T01:10:34.6893129Z Adding repository directory to the temporary git global config as a safe directory
2022-11-23T01:10:34.6897086Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:10:34.6934263Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-11-23T01:10:34.6938852Z ##[group]Initializing the repository
2022-11-23T01:10:34.6941234Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:10:34.7074468Z hint: Using 'master' as the name for the initial branch. This default branch name
2022-11-23T01:10:34.7075201Z hint: is subject to change. To configure the initial branch name to use in all
2022-11-23T01:10:34.7075795Z hint: of your new repositories, which will suppress this warning, call:
2022-11-23T01:10:34.7076189Z hint: 
2022-11-23T01:10:34.7076691Z hint: 	git config --global init.defaultBranch <name>
2022-11-23T01:10:34.7077272Z hint: 
2022-11-23T01:10:34.7077780Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2022-11-23T01:10:34.7078433Z hint: 'development'. The just-created branch can be renamed via this command:
2022-11-23T01:10:34.7078858Z hint: 
2022-11-23T01:10:34.7079331Z hint: 	git branch -m <name>
2022-11-23T01:10:34.7080002Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2022-11-23T01:10:34.7084358Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2022-11-23T01:10:34.7113325Z ##[endgroup]
2022-11-23T01:10:34.7113905Z ##[group]Disabling automatic garbage collection
2022-11-23T01:10:34.7116429Z [command]/usr/bin/git config --local gc.auto 0
2022-11-23T01:10:34.7142467Z ##[endgroup]
2022-11-23T01:10:34.7143084Z ##[group]Setting up auth
2022-11-23T01:10:34.7148359Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-11-23T01:10:34.7176351Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-11-23T01:10:34.7414592Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-11-23T01:10:34.7443268Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-11-23T01:10:34.7723607Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-11-23T01:10:34.8703607Z ##[endgroup]
2022-11-23T01:10:34.8704009Z ##[group]Fetching the repository
2022-11-23T01:10:34.8709794Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2022-11-23T01:11:23.8799075Z [command]/usr/bin/git rev-parse --verify --quiet 1cfd3858ac54fe3883534309081631a0a892ba3f^{object}
2022-11-23T01:11:23.8827526Z 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:11:23.8834179Z ##[endgroup]
2022-11-23T01:11:23.8834696Z ##[group]Determining the checkout info
2022-11-23T01:11:23.8836137Z ##[endgroup]
2022-11-23T01:11:23.8836727Z ##[group]Checking out the ref
2022-11-23T01:11:23.8841378Z [command]/usr/bin/git checkout --quiet --force 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:11:25.1693842Z ##[endgroup]
2022-11-23T01:11:25.1694483Z ##[group]Setting up auth for fetching submodules
2022-11-23T01:11:25.1699940Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-11-23T01:11:25.1746778Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2022-11-23T01:11:25.1773840Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2022-11-23T01:11:25.1800973Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2022-11-23T01:11:25.1826782Z ##[endgroup]
2022-11-23T01:11:25.1827350Z ##[group]Fetching submodules
2022-11-23T01:11:25.1831251Z [command]/usr/bin/git submodule sync --recursive
2022-11-23T01:11:25.2091531Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2022-11-23T01:11:25.2339131Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2022-11-23T01:11:25.2340271Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2022-11-23T01:11:25.2342076Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2022-11-23T01:11:25.2344144Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2022-11-23T01:11:25.2346468Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK'
2022-11-23T01:11:25.2349104Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2022-11-23T01:11:25.2351645Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2022-11-23T01:11:25.2354225Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2022-11-23T01:11:25.2356788Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2022-11-23T01:11:25.2359511Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub'
2022-11-23T01:11:25.2362282Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2022-11-23T01:11:25.2365054Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2022-11-23T01:11:25.2368053Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen'
2022-11-23T01:11:25.2371042Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2022-11-23T01:11:25.2374274Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2022-11-23T01:11:25.2378923Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2022-11-23T01:11:25.2382952Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi'
2022-11-23T01:11:25.2386571Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:11:25.2390393Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo'
2022-11-23T01:11:25.2394182Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2022-11-23T01:11:25.2397987Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2022-11-23T01:11:25.2401892Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake'
2022-11-23T01:11:25.2405947Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2022-11-23T01:11:25.2410075Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2022-11-23T01:11:25.2414645Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl'
2022-11-23T01:11:25.2419097Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse'
2022-11-23T01:11:25.2423608Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2022-11-23T01:11:25.2428029Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2022-11-23T01:11:25.2432698Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt'
2022-11-23T01:11:25.2437467Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2022-11-23T01:11:25.2442208Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2022-11-23T01:11:25.2447081Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2022-11-23T01:11:25.2452094Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2022-11-23T01:11:25.2457404Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2022-11-23T01:11:25.2462675Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum'
2022-11-23T01:11:25.2467868Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2022-11-23T01:11:25.2473278Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six'
2022-11-23T01:11:25.2478731Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2022-11-23T01:11:25.2484332Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb'
2022-11-23T01:11:25.2490147Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2022-11-23T01:11:25.2495981Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd'
2022-11-23T01:11:25.2519927Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2022-11-23T01:11:25.5023361Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2022-11-23T01:11:25.7063745Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2022-11-23T01:11:25.9017228Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2022-11-23T01:11:26.1787999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'...
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2022-11-23T01:12:37.9302131Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx-tensorrt/third_party/onnx'
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2022-11-23T01:12:43.2245358Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11'
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2022-11-23T01:12:47.2282090Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2022-11-23T01:12:47.4788556Z ##[endgroup]
2022-11-23T01:12:47.4789741Z ##[group]Persisting credentials for submodules
2022-11-23T01:12:47.4794917Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :
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2022-11-23T01:12:47.7196409Z Entering 'third_party/zstd'
2022-11-23T01:12:47.7241146Z [command]/usr/bin/git submodule foreach --recursive git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url
2022-11-23T01:12:47.7498081Z Entering 'android/libs/fbjni'
2022-11-23T01:12:47.7528115Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2022-11-23T01:12:47.7541995Z Entering 'third_party/FP16'
2022-11-23T01:12:47.7573560Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2022-11-23T01:12:47.7588153Z Entering 'third_party/FXdiv'
2022-11-23T01:12:47.7621135Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
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2022-11-23T01:12:47.7667696Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2022-11-23T01:12:47.7682379Z Entering 'third_party/QNNPACK'
2022-11-23T01:12:47.7715273Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/QNNPACK/config	remote.origin.url
2022-11-23T01:12:47.7729895Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:12:47.7761613Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2022-11-23T01:12:47.7775754Z Entering 'third_party/XNNPACK'
2022-11-23T01:12:47.7808122Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2022-11-23T01:12:47.7832360Z Entering 'third_party/benchmark'
2022-11-23T01:12:47.7864675Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:12:47.7879282Z Entering 'third_party/cpuinfo'
2022-11-23T01:12:47.7910872Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2022-11-23T01:12:47.7925834Z Entering 'third_party/cub'
2022-11-23T01:12:47.7957167Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cub/config	remote.origin.url
2022-11-23T01:12:47.7970895Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:12:47.8003597Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2022-11-23T01:12:47.8024120Z Entering 'third_party/cutlass'
2022-11-23T01:12:47.8055566Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2022-11-23T01:12:47.8075729Z Entering 'third_party/eigen'
2022-11-23T01:12:47.8107379Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2022-11-23T01:12:47.8123833Z Entering 'third_party/fbgemm'
2022-11-23T01:12:47.8156225Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2022-11-23T01:12:47.8170387Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:12:47.8201443Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
2022-11-23T01:12:47.8215123Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:12:47.8246699Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2022-11-23T01:12:47.8261040Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:12:47.8292946Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:12:47.8307181Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:12:47.8338511Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/hipify_torch/config	remote.origin.url
2022-11-23T01:12:47.8353550Z Entering 'third_party/flatbuffers'
2022-11-23T01:12:47.8386813Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2022-11-23T01:12:47.8402314Z Entering 'third_party/fmt'
2022-11-23T01:12:47.8433501Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2022-11-23T01:12:47.8447989Z Entering 'third_party/foxi'
2022-11-23T01:12:47.8479630Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/foxi/config	remote.origin.url
2022-11-23T01:12:47.8494160Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:12:47.8525939Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2022-11-23T01:12:47.8541433Z Entering 'third_party/gloo'
2022-11-23T01:12:47.8572865Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2022-11-23T01:12:47.8587736Z Entering 'third_party/googletest'
2022-11-23T01:12:47.8618951Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:12:47.8633133Z Entering 'third_party/ideep'
2022-11-23T01:12:47.8664434Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2022-11-23T01:12:47.8677425Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:12:47.8709607Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2022-11-23T01:12:47.8725997Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:12:47.8757866Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/modules/third_party/oneDNN/config	remote.origin.url
2022-11-23T01:12:47.8777870Z Entering 'third_party/ios-cmake'
2022-11-23T01:12:47.8809513Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ios-cmake/config	remote.origin.url
2022-11-23T01:12:47.8825322Z Entering 'third_party/ittapi'
2022-11-23T01:12:47.8856996Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2022-11-23T01:12:47.8871299Z Entering 'third_party/kineto'
2022-11-23T01:12:47.8903157Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2022-11-23T01:12:47.8917867Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:12:47.8949496Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2022-11-23T01:12:47.8963028Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:12:47.8995148Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2022-11-23T01:12:47.9010799Z Entering 'third_party/nccl/nccl'
2022-11-23T01:12:47.9042760Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config	remote.origin.url
2022-11-23T01:12:47.9058504Z Entering 'third_party/neon2sse'
2022-11-23T01:12:47.9089406Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/neon2sse/config	remote.origin.url
2022-11-23T01:12:47.9103464Z Entering 'third_party/nlohmann'
2022-11-23T01:12:47.9134951Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2022-11-23T01:12:47.9151594Z Entering 'third_party/onnx'
2022-11-23T01:12:47.9183438Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2022-11-23T01:12:47.9208736Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:12:47.9240030Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:12:47.9254053Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:12:47.9285616Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:12:47.9301993Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:12:47.9333264Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/config	remote.origin.url
2022-11-23T01:12:47.9347982Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:12:47.9379978Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/config	remote.origin.url
2022-11-23T01:12:47.9397987Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:12:47.9430089Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:12:47.9444739Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:12:47.9476965Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:12:47.9490626Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:12:47.9522899Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-11-23T01:12:47.9542247Z Entering 'third_party/pocketfft'
2022-11-23T01:12:47.9573832Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2022-11-23T01:12:47.9587978Z Entering 'third_party/protobuf'
2022-11-23T01:12:47.9619699Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2022-11-23T01:12:47.9636835Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:12:47.9667202Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:12:47.9681120Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:12:47.9712844Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:12:47.9728650Z Entering 'third_party/psimd'
2022-11-23T01:12:47.9760471Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2022-11-23T01:12:47.9774321Z Entering 'third_party/pthreadpool'
2022-11-23T01:12:47.9805839Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2022-11-23T01:12:47.9820393Z Entering 'third_party/pybind11'
2022-11-23T01:12:47.9852159Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:12:47.9866686Z Entering 'third_party/python-enum'
2022-11-23T01:12:47.9899559Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config	remote.origin.url
2022-11-23T01:12:47.9913333Z Entering 'third_party/python-peachpy'
2022-11-23T01:12:47.9944450Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2022-11-23T01:12:47.9958822Z Entering 'third_party/python-six'
2022-11-23T01:12:47.9989794Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config	remote.origin.url
2022-11-23T01:12:48.0003546Z Entering 'third_party/sleef'
2022-11-23T01:12:48.0034895Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2022-11-23T01:12:48.0049372Z Entering 'third_party/tbb'
2022-11-23T01:12:48.0080743Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config	remote.origin.url
2022-11-23T01:12:48.0096025Z Entering 'third_party/tensorpipe'
2022-11-23T01:12:48.0128959Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2022-11-23T01:12:48.0142856Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:12:48.0174199Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:12:48.0187763Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:12:48.0218824Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2022-11-23T01:12:48.0232475Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:12:48.0263649Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2022-11-23T01:12:48.0277914Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:12:48.0309642Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:12:48.0323667Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:12:48.0354911Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-11-23T01:12:48.0372454Z Entering 'third_party/zstd'
2022-11-23T01:12:48.0404041Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config	remote.origin.url
2022-11-23T01:12:48.1124618Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2022-11-23T01:12:48.1387617Z Entering 'android/libs/fbjni'
2022-11-23T01:12:48.1423441Z Entering 'third_party/FP16'
2022-11-23T01:12:48.1461080Z Entering 'third_party/FXdiv'
2022-11-23T01:12:48.1496822Z Entering 'third_party/NNPACK'
2022-11-23T01:12:48.1531851Z Entering 'third_party/QNNPACK'
2022-11-23T01:12:48.1566960Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:12:48.1602779Z Entering 'third_party/XNNPACK'
2022-11-23T01:12:48.1647964Z Entering 'third_party/benchmark'
2022-11-23T01:12:48.1683382Z Entering 'third_party/cpuinfo'
2022-11-23T01:12:48.1719854Z Entering 'third_party/cub'
2022-11-23T01:12:48.1755184Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:12:48.1794863Z Entering 'third_party/cutlass'
2022-11-23T01:12:48.1835995Z Entering 'third_party/eigen'
2022-11-23T01:12:48.1873190Z Entering 'third_party/fbgemm'
2022-11-23T01:12:48.1908836Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:12:48.1943124Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:12:48.1978751Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:12:48.2013359Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:12:48.2048361Z Entering 'third_party/flatbuffers'
2022-11-23T01:12:48.2085445Z Entering 'third_party/fmt'
2022-11-23T01:12:48.2120374Z Entering 'third_party/foxi'
2022-11-23T01:12:48.2155115Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:12:48.2191073Z Entering 'third_party/gloo'
2022-11-23T01:12:48.2226003Z Entering 'third_party/googletest'
2022-11-23T01:12:48.2261758Z Entering 'third_party/ideep'
2022-11-23T01:12:48.2296683Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:12:48.2333135Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:12:48.2375559Z Entering 'third_party/ios-cmake'
2022-11-23T01:12:48.2410728Z Entering 'third_party/ittapi'
2022-11-23T01:12:48.2445881Z Entering 'third_party/kineto'
2022-11-23T01:12:48.2482372Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:12:48.2516943Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:12:48.2552691Z Entering 'third_party/nccl/nccl'
2022-11-23T01:12:48.2588687Z Entering 'third_party/neon2sse'
2022-11-23T01:12:48.2624612Z Entering 'third_party/nlohmann'
2022-11-23T01:12:48.2660177Z Entering 'third_party/onnx'
2022-11-23T01:12:48.2706976Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:12:48.2742029Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:12:48.2779187Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:12:48.2814156Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:12:48.2854386Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:12:48.2889593Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:12:48.2924034Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:12:48.2962900Z Entering 'third_party/pocketfft'
2022-11-23T01:12:48.2998344Z Entering 'third_party/protobuf'
2022-11-23T01:12:48.3035798Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:12:48.3069946Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:12:48.3106647Z Entering 'third_party/psimd'
2022-11-23T01:12:48.3140967Z Entering 'third_party/pthreadpool'
2022-11-23T01:12:48.3176067Z Entering 'third_party/pybind11'
2022-11-23T01:12:48.3209796Z Entering 'third_party/python-enum'
2022-11-23T01:12:48.3243921Z Entering 'third_party/python-peachpy'
2022-11-23T01:12:48.3278977Z Entering 'third_party/python-six'
2022-11-23T01:12:48.3313077Z Entering 'third_party/sleef'
2022-11-23T01:12:48.3348486Z Entering 'third_party/tbb'
2022-11-23T01:12:48.3386320Z Entering 'third_party/tensorpipe'
2022-11-23T01:12:48.3421657Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:12:48.3455519Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:12:48.3489412Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:12:48.3524745Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:12:48.3558029Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:12:48.3594009Z Entering 'third_party/zstd'
2022-11-23T01:12:48.3639860Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2022-11-23T01:12:48.3892161Z Entering 'android/libs/fbjni'
2022-11-23T01:12:48.3925911Z Entering 'third_party/FP16'
2022-11-23T01:12:48.3961640Z Entering 'third_party/FXdiv'
2022-11-23T01:12:48.3996932Z Entering 'third_party/NNPACK'
2022-11-23T01:12:48.4032665Z Entering 'third_party/QNNPACK'
2022-11-23T01:12:48.4068604Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:12:48.4103741Z Entering 'third_party/XNNPACK'
2022-11-23T01:12:48.4148249Z Entering 'third_party/benchmark'
2022-11-23T01:12:48.4182609Z Entering 'third_party/cpuinfo'
2022-11-23T01:12:48.4217707Z Entering 'third_party/cub'
2022-11-23T01:12:48.4252334Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:12:48.4293450Z Entering 'third_party/cutlass'
2022-11-23T01:12:48.4334174Z Entering 'third_party/eigen'
2022-11-23T01:12:48.4371754Z Entering 'third_party/fbgemm'
2022-11-23T01:12:48.4408757Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:12:48.4442138Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:12:48.4478272Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:12:48.4513078Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:12:48.4550126Z Entering 'third_party/flatbuffers'
2022-11-23T01:12:48.4587342Z Entering 'third_party/fmt'
2022-11-23T01:12:48.4622208Z Entering 'third_party/foxi'
2022-11-23T01:12:48.4658650Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:12:48.4691868Z Entering 'third_party/gloo'
2022-11-23T01:12:48.4728491Z Entering 'third_party/googletest'
2022-11-23T01:12:48.4764582Z Entering 'third_party/ideep'
2022-11-23T01:12:48.4799560Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:12:48.4836749Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:12:48.4877145Z Entering 'third_party/ios-cmake'
2022-11-23T01:12:48.4912915Z Entering 'third_party/ittapi'
2022-11-23T01:12:48.4947703Z Entering 'third_party/kineto'
2022-11-23T01:12:48.4982393Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:12:48.5016698Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:12:48.5052790Z Entering 'third_party/nccl/nccl'
2022-11-23T01:12:48.5088578Z Entering 'third_party/neon2sse'
2022-11-23T01:12:48.5123471Z Entering 'third_party/nlohmann'
2022-11-23T01:12:48.5159552Z Entering 'third_party/onnx'
2022-11-23T01:12:48.5205710Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:12:48.5240346Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:12:48.5277010Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:12:48.5312252Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:12:48.5352290Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:12:48.5386955Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:12:48.5421219Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:12:48.5460759Z Entering 'third_party/pocketfft'
2022-11-23T01:12:48.5495287Z Entering 'third_party/protobuf'
2022-11-23T01:12:48.5532581Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:12:48.5566284Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:12:48.5604079Z Entering 'third_party/psimd'
2022-11-23T01:12:48.5638453Z Entering 'third_party/pthreadpool'
2022-11-23T01:12:48.5672731Z Entering 'third_party/pybind11'
2022-11-23T01:12:48.5708339Z Entering 'third_party/python-enum'
2022-11-23T01:12:48.5742759Z Entering 'third_party/python-peachpy'
2022-11-23T01:12:48.5777250Z Entering 'third_party/python-six'
2022-11-23T01:12:48.5811230Z Entering 'third_party/sleef'
2022-11-23T01:12:48.5845767Z Entering 'third_party/tbb'
2022-11-23T01:12:48.5881180Z Entering 'third_party/tensorpipe'
2022-11-23T01:12:48.5917370Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:12:48.5950914Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:12:48.5984722Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:12:48.6019334Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:12:48.6052561Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:12:48.6089680Z Entering 'third_party/zstd'
2022-11-23T01:12:48.6131929Z ##[endgroup]
2022-11-23T01:12:48.6179010Z [command]/usr/bin/git log -1 --format='%H'
2022-11-23T01:12:48.6205126Z '1cfd3858ac54fe3883534309081631a0a892ba3f'
2022-11-23T01:12:48.6322721Z Prepare all required actions
2022-11-23T01:12:48.6347453Z ##[group]Run ./.github/actions/setup-linux
2022-11-23T01:12:48.6347684Z env:
2022-11-23T01:12:48.6347992Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:12:48.6348255Z ##[endgroup]
2022-11-23T01:12:48.6362506Z ##[group]Run set -euo pipefail
2022-11-23T01:12:48.6362768Z set -euo pipefail
2022-11-23T01:12:48.6363011Z function get_ec2_metadata() {
2022-11-23T01:12:48.6363279Z   # Pulled from instance metadata endpoint for EC2
2022-11-23T01:12:48.6363664Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2022-11-23T01:12:48.6364002Z   category=$1
2022-11-23T01:12:48.6364276Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2022-11-23T01:12:48.6364531Z }
2022-11-23T01:12:48.6364765Z echo "ami-id: $(get_ec2_metadata ami-id)"
2022-11-23T01:12:48.6365084Z echo "instance-id: $(get_ec2_metadata instance-id)"
2022-11-23T01:12:48.6365377Z echo "instance-type: $(get_ec2_metadata instance-type)"
2022-11-23T01:12:48.6365658Z echo "system info $(uname -a)"
2022-11-23T01:12:48.6377501Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:12:48.6377735Z env:
2022-11-23T01:12:48.6377943Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:12:48.6378162Z ##[endgroup]
2022-11-23T01:12:48.6457459Z ami-id: ami-096198a0bccc6bad4
2022-11-23T01:12:48.6506180Z instance-id: i-00bd4f051f405c083
2022-11-23T01:12:48.6553542Z instance-type: c5.2xlarge
2022-11-23T01:12:48.6559906Z system info Linux ip-10-0-9-53.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2022-11-23T01:12:48.6574940Z ##[group]Run if systemctl is-active --quiet docker; then
2022-11-23T01:12:48.6575254Z if systemctl is-active --quiet docker; then
2022-11-23T01:12:48.6575531Z     echo "Docker daemon is running...";
2022-11-23T01:12:48.6575762Z else
2022-11-23T01:12:48.6576029Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2022-11-23T01:12:48.6576285Z fi
2022-11-23T01:12:48.6587555Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:12:48.6587804Z env:
2022-11-23T01:12:48.6588009Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:12:48.6588218Z ##[endgroup]
2022-11-23T01:12:48.6628985Z Docker daemon is running...
2022-11-23T01:12:48.6643548Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-11-23T01:12:48.6643927Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-11-23T01:12:48.6644241Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:12:48.6644664Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \
2022-11-23T01:12:48.6645043Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2022-11-23T01:12:48.6655378Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:12:48.6655626Z env:
2022-11-23T01:12:48.6655828Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:12:48.6656040Z   AWS_RETRY_MODE: standard
2022-11-23T01:12:48.6656260Z   AWS_MAX_ATTEMPTS: 5
2022-11-23T01:12:48.6656668Z   AWS_DEFAULT_REGION: us-east-1
2022-11-23T01:12:48.6656881Z ##[endgroup]
2022-11-23T01:12:49.9361422Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2022-11-23T01:12:49.9361772Z Configure a credential helper to remove this warning. See
2022-11-23T01:12:49.9363050Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2022-11-23T01:12:49.9363373Z Login Succeeded
2022-11-23T01:12:49.9363653Z 
2022-11-23T01:12:49.9394801Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:12:49.9395107Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:12:49.9395447Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:12:49.9406689Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:12:49.9406897Z env:
2022-11-23T01:12:49.9407076Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:12:49.9407274Z ##[endgroup]
2022-11-23T01:12:49.9495310Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2022-11-23T01:12:49.9495676Z with:
2022-11-23T01:12:49.9496198Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:12:49.9496887Z env:
2022-11-23T01:12:49.9497069Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:12:49.9497265Z ##[endgroup]
2022-11-23T01:12:49.9513802Z ##[group]Run retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:12:49.9514196Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:12:49.9514464Z # ignore output since only exit code is used for conditional
2022-11-23T01:12:49.9514751Z # only pull docker image if it's not available locally
2022-11-23T01:12:49.9515047Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2022-11-23T01:12:49.9515342Z   retry docker pull "${DOCKER_IMAGE}"
2022-11-23T01:12:49.9515537Z fi
2022-11-23T01:12:49.9530041Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:12:49.9530417Z env:
2022-11-23T01:12:49.9530713Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:12:49.9531360Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:12:49.9531975Z ##[endgroup]
2022-11-23T01:12:50.1789514Z 072aae4a77ed7d3a69ad5683420509c41301b940: Pulling from pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7
2022-11-23T01:12:50.1803790Z a404e5416296: Pulling fs layer
2022-11-23T01:12:50.1804156Z 42d021f37342: Pulling fs layer
2022-11-23T01:12:50.1804518Z 9dab8401a678: Pulling fs layer
2022-11-23T01:12:50.1804874Z 2fc72180b8eb: Pulling fs layer
2022-11-23T01:12:50.1805219Z 16e6a4d496ed: Pulling fs layer
2022-11-23T01:12:50.1809453Z 3a4c0b092a9e: Pulling fs layer
2022-11-23T01:12:50.1809786Z d9e19734e968: Pulling fs layer
2022-11-23T01:12:50.1809984Z 8859cc6b3ab7: Pulling fs layer
2022-11-23T01:12:50.1810167Z 1a4b44db2103: Pulling fs layer
2022-11-23T01:12:50.1810405Z fac00e927cfe: Pulling fs layer
2022-11-23T01:12:50.1810647Z 2133f4081ddb: Pulling fs layer
2022-11-23T01:12:50.1810876Z 3ceac802dd07: Pulling fs layer
2022-11-23T01:12:50.1811112Z 69c929400d35: Pulling fs layer
2022-11-23T01:12:50.1811304Z bc2be817cb7e: Pulling fs layer
2022-11-23T01:12:50.1811486Z d04926f1c68d: Pulling fs layer
2022-11-23T01:12:50.1811729Z 91f116f19c0d: Pulling fs layer
2022-11-23T01:12:50.1811920Z 3a4c0b092a9e: Waiting
2022-11-23T01:12:50.1812097Z a7cf5b3894f8: Pulling fs layer
2022-11-23T01:12:50.1812291Z 722cddd823f9: Pulling fs layer
2022-11-23T01:12:50.1812521Z d9e19734e968: Waiting
2022-11-23T01:12:50.1812682Z 1a4b44db2103: Waiting
2022-11-23T01:12:50.1812864Z 2e882087d824: Pulling fs layer
2022-11-23T01:12:50.1813052Z ba6235196410: Pulling fs layer
2022-11-23T01:12:50.1813268Z fac00e927cfe: Waiting
2022-11-23T01:12:50.1813454Z 2133f4081ddb: Waiting
2022-11-23T01:12:50.1813635Z 313c5ee380ab: Pulling fs layer
2022-11-23T01:12:50.1813804Z 8859cc6b3ab7: Waiting
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2022-11-23T01:12:50.1814224Z 3ceac802dd07: Waiting
2022-11-23T01:12:50.1814395Z 06f043acdbfb: Pulling fs layer
2022-11-23T01:12:50.1814586Z a8c562f6a1cf: Pulling fs layer
2022-11-23T01:12:50.1814816Z 722cddd823f9: Waiting
2022-11-23T01:12:50.1814988Z 4468cd4f574c: Pulling fs layer
2022-11-23T01:12:50.1815313Z 46e5d3cec398: Pulling fs layer
2022-11-23T01:12:50.1815494Z 2e882087d824: Waiting
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2022-11-23T01:12:50.1816983Z 0cff5716a932: Pulling fs layer
2022-11-23T01:12:50.1817297Z 91f116f19c0d: Waiting
2022-11-23T01:12:50.1817485Z 867a6ccb577f: Pulling fs layer
2022-11-23T01:12:50.1817669Z a7cf5b3894f8: Waiting
2022-11-23T01:12:50.1817880Z 863c35620b44: Pulling fs layer
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2022-11-23T01:12:50.1818267Z f0fe61569b0b: Pulling fs layer
2022-11-23T01:12:50.1818458Z 69c929400d35: Waiting
2022-11-23T01:12:50.1818686Z a9f3d4742233: Pulling fs layer
2022-11-23T01:12:50.1818876Z 000b6751ea6f: Pulling fs layer
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2022-11-23T01:12:50.1819482Z 5970defc1d8b: Pulling fs layer
2022-11-23T01:12:50.1819649Z ba6235196410: Waiting
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2022-11-23T01:12:50.1820018Z 4b4d66451d67: Pulling fs layer
2022-11-23T01:12:50.1820185Z 313c5ee380ab: Waiting
2022-11-23T01:12:50.1820371Z 75f1ead35ace: Pulling fs layer
2022-11-23T01:12:50.1820558Z 6ff0fc00b0a9: Waiting
2022-11-23T01:12:50.1820730Z 793c37004dab: Pulling fs layer
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2022-11-23T01:12:50.1821109Z 6386b2adbe28: Pulling fs layer
2022-11-23T01:12:50.1821292Z 06f043acdbfb: Waiting
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2022-11-23T01:12:50.1821668Z 2baaae32e3d5: Pulling fs layer
2022-11-23T01:12:50.1821853Z a8c562f6a1cf: Waiting
2022-11-23T01:12:50.1822024Z 128ebe6811c5: Pulling fs layer
2022-11-23T01:12:50.1822234Z 4468cd4f574c: Waiting
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2022-11-23T01:12:50.1823006Z 165006759af3: Waiting
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2022-11-23T01:12:50.1823353Z 2c660101e145: Waiting
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2022-11-23T01:12:50.1823740Z 8ce731125a4e: Waiting
2022-11-23T01:12:50.1823917Z 102ddcd90753: Waiting
2022-11-23T01:12:50.1824090Z 0cff5716a932: Waiting
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2022-11-23T01:12:50.1828134Z 2fc72180b8eb: Waiting
2022-11-23T01:12:50.3457924Z 42d021f37342: Verifying Checksum
2022-11-23T01:12:50.3458205Z 42d021f37342: Download complete
2022-11-23T01:12:50.4322387Z 2fc72180b8eb: Verifying Checksum
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2022-11-23T01:12:52.9237014Z 2133f4081ddb: Verifying Checksum
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2022-11-23T01:15:46.3561670Z Digest: sha256:a44ece0129de4f14f08fcb1423a34c97f2f88e2969bfc5ad6f33b15b4dfcfea3
2022-11-23T01:15:46.3877360Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:15:46.4103904Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:15:46.4343427Z ##[group]Run python3 -m pip install psutil==5.9.1
2022-11-23T01:15:46.4343708Z python3 -m pip install psutil==5.9.1
2022-11-23T01:15:46.4343937Z python3 -m pip install pynvml==11.4.1
2022-11-23T01:15:46.4344196Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 &
2022-11-23T01:15:46.4344478Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2022-11-23T01:15:46.9655429Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:15:46.9655672Z env:
2022-11-23T01:15:46.9655870Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:46.9656051Z ##[endgroup]
2022-11-23T01:15:50.6429956Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:15:50.6679947Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1)
2022-11-23T01:15:51.2858042Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:15:51.3042112Z Requirement already satisfied: pynvml==11.4.1 in /home/ec2-user/.local/lib/python3.7/site-packages (11.4.1)
2022-11-23T01:15:51.5230900Z Prepare all required actions
2022-11-23T01:15:51.5231161Z Getting action download info
2022-11-23T01:15:52.3091202Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:4a8bfae15cc25cc0785c1603ee87a9da8fd442ea)
2022-11-23T01:15:52.5482105Z Download action repository 'actions/download-artifact@v3' (SHA:9782bd6a9848b53b110e712e20e42d89988822b7)
2022-11-23T01:15:52.6706087Z ##[group]Run ./.github/actions/download-build-artifacts
2022-11-23T01:15:52.6706325Z with:
2022-11-23T01:15:52.6706537Z   name: linux-bionic-cuda11.7-py3.10-gcc7
2022-11-23T01:15:52.6706730Z env:
2022-11-23T01:15:52.6706902Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:52.6707089Z ##[endgroup]
2022-11-23T01:15:52.6727855Z ##[group]Run seemethere/download-artifact-s3@v4
2022-11-23T01:15:52.6728073Z with:
2022-11-23T01:15:52.6728264Z   name: linux-bionic-cuda11.7-py3.10-gcc7
2022-11-23T01:15:52.6728493Z   s3-bucket: gha-artifacts
2022-11-23T01:15:52.6728685Z   region: us-east-1
2022-11-23T01:15:52.6728869Z env:
2022-11-23T01:15:52.6729039Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:15:52.6729209Z ##[endgroup]
2022-11-23T01:15:53.3659803Z Found 1 objects with prefix pytorch/pytorch/3528293554/linux-bionic-cuda11.7-py3.10-gcc7/
2022-11-23T01:15:53.3660290Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-11-23T01:16:08.1470158Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-11-23T01:16:08.1470452Z 
2022-11-23T01:16:08.1486180Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2022-11-23T01:16:08.1493875Z Artifact download has finished successfully
2022-11-23T01:16:08.1609746Z ##[group]Run unzip -o artifacts.zip
2022-11-23T01:16:08.1609976Z unzip -o artifacts.zip
2022-11-23T01:16:08.1621043Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:16:08.1621251Z env:
2022-11-23T01:16:08.1621427Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:16:08.1621613Z ##[endgroup]
2022-11-23T01:16:08.1682186Z Archive:  artifacts.zip
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2022-11-23T01:16:16.7624054Z   inflating: .pytorch-test-times.json  
2022-11-23T01:16:16.7645845Z ##[group]Run df -H
2022-11-23T01:16:16.7646032Z df -H
2022-11-23T01:16:16.7656911Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:16:16.7657117Z env:
2022-11-23T01:16:16.7657291Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:16:16.7657481Z ##[endgroup]
2022-11-23T01:16:16.8026387Z Filesystem      Size  Used Avail Use% Mounted on
2022-11-23T01:16:16.8026858Z devtmpfs        8.2G     0  8.2G   0% /dev
2022-11-23T01:16:16.8027229Z tmpfs           8.2G  3.8M  8.2G   1% /dev/shm
2022-11-23T01:16:16.8027425Z tmpfs           8.2G  431k  8.2G   1% /run
2022-11-23T01:16:16.8027635Z tmpfs           8.2G     0  8.2G   0% /sys/fs/cgroup
2022-11-23T01:16:16.8027865Z /dev/nvme0n1p1  162G   27G  135G  17% /
2022-11-23T01:16:16.8060493Z ##[group]Run .github/scripts/parse_ref.py
2022-11-23T01:16:16.8060911Z .github/scripts/parse_ref.py
2022-11-23T01:16:16.8075491Z shell: /usr/bin/bash -e {0}
2022-11-23T01:16:16.8075798Z env:
2022-11-23T01:16:16.8076074Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:16:16.8076374Z ##[endgroup]
2022-11-23T01:16:16.8474087Z ##[group]Run set -x
2022-11-23T01:16:16.8474354Z set -x
2022-11-23T01:16:16.8474520Z 
2022-11-23T01:16:16.8474703Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2022-11-23T01:16:16.8474961Z   TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh
2022-11-23T01:16:16.8475221Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2022-11-23T01:16:16.8475444Z   TEST_COMMAND=.jenkins/caffe2/test.sh
2022-11-23T01:16:16.8475644Z else
2022-11-23T01:16:16.8475846Z   TEST_COMMAND=.jenkins/pytorch/test.sh
2022-11-23T01:16:16.8476042Z fi
2022-11-23T01:16:16.8476188Z 
2022-11-23T01:16:16.8476423Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}")
2022-11-23T01:16:16.8476721Z 
2022-11-23T01:16:16.8476924Z # sanitize the input commit message and PR body here:
2022-11-23T01:16:16.8477138Z #
2022-11-23T01:16:16.8477420Z # trim all new lines from commit messages + PR_BODY to avoid issues with batch environment
2022-11-23T01:16:16.8477777Z # variable copying. see https://github.com/pytorch/pytorch/pull/80043#issuecomment-1167796028
2022-11-23T01:16:16.8478088Z COMMIT_MESSAGES="${COMMIT_MESSAGES//[$'\n\r']}"
2022-11-23T01:16:16.8478316Z PR_BODY="${PR_BODY//[$'\n\r']}"
2022-11-23T01:16:16.8478490Z 
2022-11-23T01:16:16.8478747Z # then trim all special characters like single and double quotes to avoid unescaped inputs to
2022-11-23T01:16:16.8479023Z # wreak havoc internally
2022-11-23T01:16:16.8479257Z export COMMIT_MESSAGES="${COMMIT_MESSAGES//[\'\"]}"
2022-11-23T01:16:16.8479482Z export PR_BODY="${PR_BODY//[\'\"]}"
2022-11-23T01:16:16.8479675Z 
2022-11-23T01:16:16.8479898Z # detached container should get cleaned up by teardown_ec2_linux
2022-11-23T01:16:16.8480177Z # TODO: Stop building test binaries as part of the build phase
2022-11-23T01:16:16.8480448Z # Used for GPU_FLAG since that doesn't play nice
2022-11-23T01:16:16.8480684Z # shellcheck disable=SC2086,SC2090
2022-11-23T01:16:16.8480904Z container_name=$(docker run \
2022-11-23T01:16:16.8481093Z   ${GPU_FLAG:-} \
2022-11-23T01:16:16.8481288Z   -e BUILD_ENVIRONMENT \
2022-11-23T01:16:16.8481486Z   -e PR_NUMBER \
2022-11-23T01:16:16.8481665Z   -e GITHUB_ACTIONS \
2022-11-23T01:16:16.8481855Z   -e BASE_SHA \
2022-11-23T01:16:16.8482035Z   -e BRANCH \
2022-11-23T01:16:16.8482199Z   -e SHA1 \
2022-11-23T01:16:16.8482388Z   -e AWS_DEFAULT_REGION \
2022-11-23T01:16:16.8482583Z   -e IN_WHEEL_TEST \
2022-11-23T01:16:16.8482759Z   -e SHARD_NUMBER \
2022-11-23T01:16:16.8482950Z   -e TEST_CONFIG \
2022-11-23T01:16:16.8483139Z   -e NUM_TEST_SHARDS \
2022-11-23T01:16:16.8483313Z   -e PR_BODY \
2022-11-23T01:16:16.8483503Z   -e COMMIT_MESSAGES \
2022-11-23T01:16:16.8483714Z   -e PYTORCH_RETRY_TEST_CASES \
2022-11-23T01:16:16.8483928Z   -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \
2022-11-23T01:16:16.8484134Z   -e PR_LABELS \
2022-11-23T01:16:16.8484345Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2022-11-23T01:16:16.8484555Z   -e SCCACHE_BUCKET \
2022-11-23T01:16:16.8484744Z   -e SCCACHE_S3_KEY_PREFIX \
2022-11-23T01:16:16.8484938Z   -e XLA_CUDA \
2022-11-23T01:16:16.8485147Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2022-11-23T01:16:16.8485365Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2022-11-23T01:16:16.8485603Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2022-11-23T01:16:16.8485855Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2022-11-23T01:16:16.8486080Z   --ulimit stack=10485760:83886080 \
2022-11-23T01:16:16.8486307Z   --security-opt seccomp=unconfined \
2022-11-23T01:16:16.8486574Z   --cap-add=SYS_PTRACE \
2022-11-23T01:16:16.8486775Z   --ipc=host \
2022-11-23T01:16:16.8486956Z   --shm-size="${SHM_SIZE}" \
2022-11-23T01:16:16.8487144Z   --tty \
2022-11-23T01:16:16.8487320Z   --detach \
2022-11-23T01:16:16.8487501Z   --name="${container_name}" \
2022-11-23T01:16:16.8487702Z   --user jenkins \
2022-11-23T01:16:16.8487937Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2022-11-23T01:16:16.8488175Z   -w /var/lib/jenkins/workspace \
2022-11-23T01:16:16.8488379Z   "${DOCKER_IMAGE}"
2022-11-23T01:16:16.8488552Z )
2022-11-23T01:16:16.8488756Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2022-11-23T01:16:16.8489083Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2022-11-23T01:16:16.8499719Z shell: /usr/bin/bash -e {0}
2022-11-23T01:16:16.8499889Z env:
2022-11-23T01:16:16.8500076Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:16:16.8500326Z   BUILD_ENVIRONMENT: linux-bionic-cuda11.7-py3.10-gcc7
2022-11-23T01:16:16.8500560Z   PR_NUMBER: 
2022-11-23T01:16:16.8500719Z   BRANCH: master
2022-11-23T01:16:16.8500923Z   SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:16:16.8501154Z   BASE_SHA: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:16:16.8501359Z   PYTORCH_RETRY_TEST_CASES: 1
2022-11-23T01:16:16.8501565Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2022-11-23T01:16:16.8501768Z   TEST_CONFIG: nogpu_NO_AVX2
2022-11-23T01:16:16.8501941Z   SHARD_NUMBER: 1
2022-11-23T01:16:16.8502114Z   NUM_TEST_SHARDS: 1
2022-11-23T01:16:16.8502285Z   PR_BODY: 
2022-11-23T01:16:16.8502494Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2022-11-23T01:16:16.8502732Z   SCCACHE_S3_KEY_PREFIX: trunk
2022-11-23T01:16:16.8502920Z   SHM_SIZE: 2g
2022-11-23T01:16:16.8503276Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:16:16.8503630Z   XLA_CUDA: 
2022-11-23T01:16:16.8503887Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2022-11-23T01:16:16.8504168Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2022-11-23T01:16:16.8504376Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2022-11-23T01:16:16.8504574Z ##[endgroup]
2022-11-23T01:16:16.8527981Z + [[ nogpu_NO_AVX2 == \m\u\l\t\i\g\p\u ]]
2022-11-23T01:16:16.8528592Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *onnx* ]]
2022-11-23T01:16:16.8528932Z + TEST_COMMAND=.jenkins/pytorch/test.sh
2022-11-23T01:16:16.8530812Z ++ git cherry -v origin/master
2022-11-23T01:16:17.3148018Z + COMMIT_MESSAGES=
2022-11-23T01:16:17.3148302Z + COMMIT_MESSAGES=
2022-11-23T01:16:17.3148500Z + PR_BODY=
2022-11-23T01:16:17.3148757Z + export COMMIT_MESSAGES=
2022-11-23T01:16:17.3149083Z + COMMIT_MESSAGES=
2022-11-23T01:16:17.3149341Z + export PR_BODY=
2022-11-23T01:16:17.3149569Z + PR_BODY=
2022-11-23T01:16:17.3157708Z +++ nproc --ignore=2
2022-11-23T01:16:17.3208142Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS --env-file=/tmp/github_env_3528293554 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:16:27.2965706Z + container_name=eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:16:27.2969364Z + echo DOCKER_CONTAINER_ID=eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:16:27.2969894Z ++ echo dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl
2022-11-23T01:16:27.2971302Z + docker exec -t eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35 sh -c 'pip install dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl[opt-einsum] && .jenkins/pytorch/test.sh'
2022-11-23T01:16:27.8644048Z Processing ./dist/torch-1.14.0a0+git1cfd385-cp310-cp310-linux_x86_64.whl
2022-11-23T01:16:28.5815390Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (1.11.1)
2022-11-23T01:16:28.5818263Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (2.6.3)
2022-11-23T01:16:28.5821201Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (4.4.0)
2022-11-23T01:16:28.5833263Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/lib/python3.10/site-packages (from torch==1.14.0a0+git1cfd385) (3.3.0)
2022-11-23T01:16:28.5886424Z Requirement already satisfied: numpy>=1.7 in /opt/conda/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==1.14.0a0+git1cfd385) (1.21.2)
2022-11-23T01:16:28.6031866Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch==1.14.0a0+git1cfd385) (1.2.1)
2022-11-23T01:16:29.2307721Z Installing collected packages: torch
2022-11-23T01:16:36.2985106Z Successfully installed torch-1.14.0a0+git1cfd385
2022-11-23T01:16:36.3695704Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2022-11-23T01:16:36.3857413Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.10/site-packages/torch
2022-11-23T01:16:36.3858088Z + TORCH_BIN_DIR=/opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:16:36.3858627Z + TORCH_LIB_DIR=/opt/conda/lib/python3.10/site-packages/torch/lib
2022-11-23T01:16:36.3859195Z + TORCH_TEST_DIR=/opt/conda/lib/python3.10/site-packages/torch/test
2022-11-23T01:16:36.3859465Z + BUILD_DIR=build
2022-11-23T01:16:36.3859647Z + BUILD_RENAMED_DIR=build_renamed
2022-11-23T01:16:36.3859850Z + BUILD_BIN_DIR=build/bin
2022-11-23T01:16:36.3860040Z + export VALGRIND=ON
2022-11-23T01:16:36.3860206Z + VALGRIND=ON
2022-11-23T01:16:36.3860499Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *clang9* ]]
2022-11-23T01:16:36.3860825Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *bazel* ]]
2022-11-23T01:16:36.3862380Z ++ realpath build/custom_test_artifacts
2022-11-23T01:16:36.3887651Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2022-11-23T01:16:36.3889993Z ++ dirname .jenkins/pytorch/test.sh
2022-11-23T01:16:36.3913726Z + source .jenkins/pytorch/common.sh
2022-11-23T01:16:36.3920844Z +++ dirname .jenkins/pytorch/common.sh
2022-11-23T01:16:36.3929565Z ++ source .jenkins/pytorch/common_utils.sh
2022-11-23T01:16:36.3935196Z +++ declare -f -t trap_add
2022-11-23T01:16:36.3939812Z ++ set -ex
2022-11-23T01:16:36.3940289Z ++ [[ linux-bionic-cuda11.7-py3.10-gcc7 == *rocm* ]]
2022-11-23T01:16:36.3940718Z ++ BUILD_TEST_LIBTORCH=0
2022-11-23T01:16:36.3941499Z + echo 'Environment variables'
2022-11-23T01:16:36.3941841Z Environment variables
2022-11-23T01:16:36.3942173Z + env
2022-11-23T01:16:36.3960481Z SHARD_NUMBER=1
2022-11-23T01:16:36.3960900Z NV_LIBCUBLAS_DEV_VERSION=11.10.1.25-1
2022-11-23T01:16:36.3961341Z NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-7
2022-11-23T01:16:36.3961700Z LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
2022-11-23T01:16:36.3962215Z NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.13.4-1+cuda11.7
2022-11-23T01:16:36.3962499Z UCC_HOME=/usr
2022-11-23T01:16:36.3962927Z BUILD_ENVIRONMENT=linux-bionic-cuda11.7-py3.10-gcc7
2022-11-23T01:16:36.3963276Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2022-11-23T01:16:36.3963718Z NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-7=11.7.3.21-1
2022-11-23T01:16:36.3964023Z INSTALLED_DB=yes
2022-11-23T01:16:36.3964513Z HOSTNAME=eae2a230166e
2022-11-23T01:16:36.3964856Z GITHUB_REF_NAME=master
2022-11-23T01:16:36.3965247Z GITHUB_API_URL=https://api.github.com
2022-11-23T01:16:36.3965579Z OPENSSL_DIR=/opt/openssl
2022-11-23T01:16:36.3965906Z UCC_COMMIT=1c7a7127186e7836f73aafbd7697bbc274a77eee
2022-11-23T01:16:36.3966367Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f65d7e48-6f82-4f34-a3a7-420549fcc9c9
2022-11-23T01:16:36.3966683Z CUDA_PATH=/usr/local/cuda
2022-11-23T01:16:36.3967054Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2022-11-23T01:16:36.3967318Z GITHUB_RUN_ATTEMPT=1
2022-11-23T01:16:36.3967509Z TEST_CONFIG=nogpu_NO_AVX2
2022-11-23T01:16:36.3967727Z NV_LIBNPP_VERSION=11.7.3.21-1
2022-11-23T01:16:36.3968101Z NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-7=11.7.50-1
2022-11-23T01:16:36.3968334Z GITHUB_REPOSITORY_OWNER=pytorch
2022-11-23T01:16:36.3970908Z GITHUB_ACTIONS=true
2022-11-23T01:16:36.3971207Z NVIDIA_VISIBLE_DEVICES=all
2022-11-23T01:16:36.3971483Z NV_NVPROF_VERSION=11.7.50-1
2022-11-23T01:16:36.3971736Z NV_LIBCUSPARSE_VERSION=11.7.3.50-1
2022-11-23T01:16:36.3972039Z CI=true
2022-11-23T01:16:36.3972378Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1
2022-11-23T01:16:36.3972925Z NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-7=11.10.1.25-1
2022-11-23T01:16:36.3973140Z BRANCH=master
2022-11-23T01:16:36.3973314Z GITHUB_HEAD_REF=
2022-11-23T01:16:36.3973644Z UCX_COMMIT=31e74cac7bee0ef66bef2af72e7d86d9c282e5ab
2022-11-23T01:16:36.3973994Z GITHUB_ACTOR=pytorchmergebot
2022-11-23T01:16:36.3974375Z CMAKE_CUDA_COMPILER_LAUNCHER=/opt/cache/bin/sccache
2022-11-23T01:16:36.3974642Z GITHUB_ACTION_REF=
2022-11-23T01:16:36.3974954Z NCCL_VERSION=2.13.4-1
2022-11-23T01:16:36.3975283Z GITHUB_ACTION=__self
2022-11-23T01:16:36.3975561Z VALGRIND=ON
2022-11-23T01:16:36.3975848Z GITHUB_REF_PROTECTED=true
2022-11-23T01:16:36.3976828Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2022-11-23T01:16:36.3977371Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2022-11-23T01:16:36.3978109Z ***
2022-11-23T01:16:36.3978267Z INSTALLED_VISION=yes
2022-11-23T01:16:36.3978447Z NVARCH=x86_64
2022-11-23T01:16:36.3978672Z NV_LIBCUSPARSE_DEV_VERSION=11.7.3.50-1
2022-11-23T01:16:36.3978865Z HOME=/var/lib/jenkins
2022-11-23T01:16:36.3979272Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f65d7e48-6f82-4f34-a3a7-420549fcc9c9
2022-11-23T01:16:36.3979574Z CARGO_NET_GIT_FETCH_WITH_CLI=true
2022-11-23T01:16:36.3979766Z GITHUB_ACTION_REPOSITORY=
2022-11-23T01:16:36.3979957Z GITHUB_REF_TYPE=branch
2022-11-23T01:16:36.3980180Z NV_LIBNCCL_PACKAGE_VERSION=2.13.4-1
2022-11-23T01:16:36.3980374Z GITHUB_RETENTION_DAYS=90
2022-11-23T01:16:36.3980656Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2022-11-23T01:16:36.3980964Z NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.7
2022-11-23T01:16:36.3981362Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f65d7e48-6f82-4f34-a3a7-420549fcc9c9
2022-11-23T01:16:36.4017647Z DEBIAN_FRONTEND=noninteractive
2022-11-23T01:16:36.4018460Z NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
2022-11-23T01:16:36.4018814Z GITHUB_REF=refs/heads/master
2022-11-23T01:16:36.4019108Z NV_CUDA_LIB_VERSION=11.7.0-1
2022-11-23T01:16:36.4019320Z GITHUB_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:16:36.4019542Z INSTALLED_PROTOBUF=yes
2022-11-23T01:16:36.4019733Z GITHUB_RUN_ID=3528293554
2022-11-23T01:16:36.4019978Z NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.3.21-1
2022-11-23T01:16:36.4020201Z NV_LIBNCCL_PACKAGE_NAME=libnccl2
2022-11-23T01:16:36.4020418Z LIBRARY_PATH=/usr/local/cuda/lib64/stubs
2022-11-23T01:16:36.4020627Z NV_NVTX_VERSION=11.7.50-1
2022-11-23T01:16:36.4020844Z GITHUB_SERVER_URL=https://github.com
2022-11-23T01:16:36.4021042Z MAX_JOBS=6
2022-11-23T01:16:36.4021236Z NV_LIBCUBLAS_VERSION=11.10.1.25-1
2022-11-23T01:16:36.4021512Z NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.1.25-1
2022-11-23T01:16:36.4021998Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2022-11-23T01:16:36.4022257Z UCX_HOME=/usr
2022-11-23T01:16:36.4022430Z PYTORCH_RETRY_TEST_CASES=1
2022-11-23T01:16:36.4022671Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2022-11-23T01:16:36.4022928Z BASE_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:16:36.4023161Z NV_CUDA_CUDART_DEV_VERSION=11.7.60-1
2022-11-23T01:16:36.4023352Z PR_BODY=
2022-11-23T01:16:36.4023517Z GITHUB_BASE_REF=
2022-11-23T01:16:36.4023675Z TERM=xterm
2022-11-23T01:16:36.4023834Z XLA_CUDA=
2022-11-23T01:16:36.4024025Z NV_NVML_DEV_VERSION=11.7.50-1
2022-11-23T01:16:36.4024209Z TORCH_CUDA_ARCH_LIST=Maxwell
2022-11-23T01:16:36.4024397Z CUDA_VERSION=11.7.0
2022-11-23T01:16:36.4024644Z NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-7
2022-11-23T01:16:36.4024848Z OPENSSL_ROOT_DIR=/opt/openssl
2022-11-23T01:16:36.4025313Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f65d7e48-6f82-4f34-a3a7-420549fcc9c9
2022-11-23T01:16:36.4025598Z GITHUB_JOB=test
2022-11-23T01:16:36.4025772Z SCCACHE_S3_KEY_PREFIX=trunk
2022-11-23T01:16:36.4025959Z COMMIT_MESSAGES=
2022-11-23T01:16:36.4026173Z NVIDIA_DRIVER_CAPABILITIES=compute,utility
2022-11-23T01:16:36.4026368Z NUM_TEST_SHARDS=1
2022-11-23T01:16:36.4026540Z PR_NUMBER=
2022-11-23T01:16:36.4026929Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f65d7e48-6f82-4f34-a3a7-420549fcc9c9
2022-11-23T01:16:36.4027206Z SHLVL=1
2022-11-23T01:16:36.4027446Z NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-7
2022-11-23T01:16:36.4027687Z GITHUB_REPOSITORY=pytorch/pytorch
2022-11-23T01:16:36.4028546Z NVIDIA_REQUIRE_CUDA=cuda>=11.7 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=unknown,driver>=510,driver<511 brand=nvidia,driver>=510,driver<511 brand=nvidiartx,driver>=510,driver<511 brand=quadro,driver>=510,driver<511 brand=quadrortx,driver>=510,driver<511 brand=titan,driver>=510,driver<511 brand=titanrtx,driver>=510,driver<511 brand=geforce,driver>=510,driver<511 brand=geforcertx,driver>=510,driver<511
2022-11-23T01:16:36.4029426Z NV_LIBNPP_DEV_VERSION=11.7.3.21-1
2022-11-23T01:16:36.4029647Z SHA1=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:16:36.4029843Z GITHUB_EVENT_NAME=push
2022-11-23T01:16:36.4030063Z NV_CUDA_CUDART_VERSION=11.7.60-1
2022-11-23T01:16:36.4030324Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2022-11-23T01:16:36.4030523Z GITHUB_RUN_NUMBER=18336
2022-11-23T01:16:36.4030714Z GITHUB_WORKFLOW=trunk
2022-11-23T01:16:36.4031025Z PATH=/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:16:36.4031361Z NV_LIBNCCL_DEV_PACKAGE_VERSION=2.13.4-1
2022-11-23T01:16:36.4031677Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:16:36.4031947Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2022-11-23T01:16:36.4032147Z _=/usr/bin/env
2022-11-23T01:16:36.4032342Z + echo 'Testing pytorch'
2022-11-23T01:16:36.4032527Z Testing pytorch
2022-11-23T01:16:36.4032721Z + export LANG=C.UTF-8
2022-11-23T01:16:36.4032895Z + LANG=C.UTF-8
2022-11-23T01:16:36.4056396Z + PR_NUMBER=
2022-11-23T01:16:36.4057046Z + [[ nogpu_NO_AVX2 == \d\e\f\a\u\l\t ]]
2022-11-23T01:16:36.4057449Z + [[ nogpu_NO_AVX2 == \d\i\s\t\r\i\b\u\t\e\d ]]
2022-11-23T01:16:36.4057757Z + [[ nogpu_NO_AVX2 == \s\l\o\w ]]
2022-11-23T01:16:36.4058246Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *slow-gradcheck* ]]
2022-11-23T01:16:36.4058711Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *cuda* ]]
2022-11-23T01:16:36.4059074Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2022-11-23T01:16:36.4059310Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda
2022-11-23T01:16:36.4059526Z + [[ nogpu_NO_AVX2 == *crossref* ]]
2022-11-23T01:16:36.4059817Z + [[ nogpu_NO_AVX2 == *dynamo* ]]
2022-11-23T01:16:36.4060029Z + [[ nogpu_NO_AVX2 == *inductor* ]]
2022-11-23T01:16:36.4060322Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *rocm* ]]
2022-11-23T01:16:36.4060633Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *-bazel-* ]]
2022-11-23T01:16:36.4060958Z + pip_install --user ninja==1.10.2
2022-11-23T01:16:36.4061405Z + pip install --progress-bar off --user ninja==1.10.2
2022-11-23T01:16:36.8085418Z Collecting ninja==1.10.2
2022-11-23T01:16:36.8285288Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2022-11-23T01:16:37.4207678Z Installing collected packages: ninja
2022-11-23T01:16:37.4282183Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-11-23T01:16:37.4282946Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T01:16:37.4328021Z Successfully installed ninja-1.10.2
2022-11-23T01:16:37.5008184Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:16:37.5008851Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:16:37.5009426Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *asan* ]]
2022-11-23T01:16:37.5009760Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-tsan* ]]
2022-11-23T01:16:37.5010005Z + [[ nogpu_NO_AVX2 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2022-11-23T01:16:37.5010244Z + export ATEN_CPU_CAPABILITY=default
2022-11-23T01:16:37.5010462Z + ATEN_CPU_CAPABILITY=default
2022-11-23T01:16:37.5015378Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *tbb* ]]
2022-11-23T01:16:37.5027191Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *libtorch* ]]
2022-11-23T01:16:37.5027543Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-bazel-* ]]
2022-11-23T01:16:37.5027951Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-tsan* ]]
2022-11-23T01:16:37.5030295Z + cd test
2022-11-23T01:16:37.5038328Z + python -c 'import torch; print(torch.__config__.show())'
2022-11-23T01:16:38.8238489Z PyTorch built with:
2022-11-23T01:16:38.8239127Z   - GCC 7.5
2022-11-23T01:16:38.8239604Z   - C++ Version: 201402
2022-11-23T01:16:38.8240549Z   - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-11-23T01:16:38.8241499Z   - Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289)
2022-11-23T01:16:38.8242160Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2022-11-23T01:16:38.8242784Z   - LAPACK is enabled (usually provided by MKL)
2022-11-23T01:16:38.8243316Z   - NNPACK is enabled
2022-11-23T01:16:38.8243871Z   - CPU capability usage: NO AVX
2022-11-23T01:16:38.8250499Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Werror -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=1.14.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 
2022-11-23T01:16:38.8254857Z 
2022-11-23T01:16:39.3608210Z + cd test
2022-11-23T01:16:39.3608663Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2022-11-23T01:16:40.5299901Z ATen/Parallel:
2022-11-23T01:16:40.5311796Z 	at::get_num_threads() : 4
2022-11-23T01:16:40.5312063Z 	at::get_num_interop_threads() : 4
2022-11-23T01:16:40.5312311Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2022-11-23T01:16:40.5312504Z 	omp_get_max_threads() : 4
2022-11-23T01:16:40.5313018Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-11-23T01:16:40.5313420Z 	mkl_get_max_threads() : 4
2022-11-23T01:16:40.5313745Z Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289)
2022-11-23T01:16:40.5314241Z std::thread::hardware_concurrency() : 8
2022-11-23T01:16:40.5314459Z Environment variables:
2022-11-23T01:16:40.5314664Z 	OMP_NUM_THREADS : [not set]
2022-11-23T01:16:40.5314850Z 	MKL_NUM_THREADS : [not set]
2022-11-23T01:16:40.5315055Z ATen parallel backend: OpenMP
2022-11-23T01:16:40.5315182Z 
2022-11-23T01:16:40.7609631Z + [[ nogpu_NO_AVX2 == *backward* ]]
2022-11-23T01:16:40.7610011Z + [[ nogpu_NO_AVX2 == *xla* ]]
2022-11-23T01:16:40.7610344Z + [[ nogpu_NO_AVX2 == \j\i\t\_\l\e\g\a\c\y ]]
2022-11-23T01:16:40.7610943Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *libtorch* ]]
2022-11-23T01:16:40.7611370Z + [[ nogpu_NO_AVX2 == distributed ]]
2022-11-23T01:16:40.7611747Z + [[ nogpu_NO_AVX2 == deploy ]]
2022-11-23T01:16:40.7611996Z + [[ nogpu_NO_AVX2 == *inductor_distributed* ]]
2022-11-23T01:16:40.7612240Z + [[ nogpu_NO_AVX2 == *dynamo* ]]
2022-11-23T01:16:40.7612443Z + [[ nogpu_NO_AVX2 == *dynamo* ]]
2022-11-23T01:16:40.7612677Z + [[ nogpu_NO_AVX2 == *inductor_huggingface* ]]
2022-11-23T01:16:40.7612945Z + [[ nogpu_NO_AVX2 == *inductor_timm* ]]
2022-11-23T01:16:40.7613173Z + [[ nogpu_NO_AVX2 == *inductor_torchbench* ]]
2022-11-23T01:16:40.7613399Z + [[ nogpu_NO_AVX2 == *inductor* ]]
2022-11-23T01:16:40.7613618Z + [[ 1 == 1 ]]
2022-11-23T01:16:40.7613824Z + [[ 1 -gt 1 ]]
2022-11-23T01:16:40.7613987Z + [[ 1 == 2 ]]
2022-11-23T01:16:40.7614172Z + [[ 1 -gt 2 ]]
2022-11-23T01:16:40.7614501Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *vulkan* ]]
2022-11-23T01:16:40.7614835Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-bazel-* ]]
2022-11-23T01:16:40.7615257Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-mobile-lightweight-dispatch* ]]
2022-11-23T01:16:40.7615779Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *-tsan* ]]
2022-11-23T01:16:40.7616093Z + [[ nogpu_NO_AVX2 = docs_test ]]
2022-11-23T01:16:40.7616327Z + [[ nogpu_NO_AVX2 == *functorch* ]]
2022-11-23T01:16:40.7616703Z + install_torchvision
2022-11-23T01:16:40.7616886Z + local commit
2022-11-23T01:16:40.7617079Z ++ get_pinned_commit vision
2022-11-23T01:16:40.7617299Z ++ cat .github/ci_commit_pins/vision.txt
2022-11-23T01:16:40.7660221Z + commit=4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:16:40.7660883Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:16:40.7661430Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:16:41.1113018Z Collecting git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:16:41.1118157Z   Cloning https://github.com/pytorch/vision.git (to revision 4a310f26049371959617921d0eb9b001f4d262c6) to /tmp/pip-req-build-q_sj2793
2022-11-23T01:16:41.1328820Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-q_sj2793
2022-11-23T01:16:42.9443225Z   Running command git rev-parse -q --verify 'sha^4a310f26049371959617921d0eb9b001f4d262c6'
2022-11-23T01:16:42.9461805Z   Running command git fetch -q https://github.com/pytorch/vision.git 4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:16:43.8644628Z   Resolved https://github.com/pytorch/vision.git to commit 4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:16:45.8381592Z   Preparing metadata (setup.py) ... [?25l- \ done
2022-11-23T01:16:45.8444240Z [?25hRequirement already satisfied: typing_extensions in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (4.4.0)
2022-11-23T01:16:45.8447829Z Requirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (1.21.2)
2022-11-23T01:16:45.8451123Z Requirement already satisfied: requests in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (2.27.1)
2022-11-23T01:16:45.8454549Z Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (1.14.0a0+git1cfd385)
2022-11-23T01:16:45.8462379Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.10/site-packages (from torchvision==0.15.0a0+4a310f2) (9.3.0)
2022-11-23T01:16:45.8669894Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (3.3)
2022-11-23T01:16:45.8677374Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (1.26.8)
2022-11-23T01:16:45.8687560Z Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2.0.4)
2022-11-23T01:16:45.8693776Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2022.9.24)
2022-11-23T01:16:45.8734854Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (2.6.3)
2022-11-23T01:16:45.8738832Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (1.11.1)
2022-11-23T01:16:45.8981593Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch->torchvision==0.15.0a0+4a310f2) (1.2.1)
2022-11-23T01:16:45.9034650Z Building wheels for collected packages: torchvision
2022-11-23T01:17:53.5105907Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done
2022-11-23T01:17:53.5453147Z [?25h  Created wheel for torchvision: filename=torchvision-0.15.0a0+4a310f2-cp310-cp310-linux_x86_64.whl size=14034957 sha256=aac8b214f1b46072544e987bb83d85761e1e8516b2bf62c5ce5d157960b1ebf0
2022-11-23T01:17:53.5455422Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/f3/24/4c/0e1cb34f8a216124e00dbe933c9d8a5521e1e49600c7331113
2022-11-23T01:17:53.5491539Z Successfully built torchvision
2022-11-23T01:17:54.0880945Z Installing collected packages: torchvision
2022-11-23T01:17:54.6563546Z Successfully installed torchvision-0.15.0a0+4a310f2
2022-11-23T01:17:54.7746861Z + install_triton
2022-11-23T01:17:54.7747217Z + local commit
2022-11-23T01:17:54.7747421Z + [[ nogpu_NO_AVX2 == *rocm* ]]
2022-11-23T01:17:54.7749781Z ++ get_pinned_commit triton
2022-11-23T01:17:54.7750243Z ++ cat .github/ci_commit_pins/triton.txt
2022-11-23T01:17:54.7765979Z + commit=0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:17:54.7766891Z + pip_install --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:17:54.7767442Z + pip install --progress-bar off --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:17:55.1196849Z Collecting git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:17:55.1200912Z   Cloning https://github.com/openai/triton (to revision 0d7e7532279e45672555e344646f5c19c3972331) to /tmp/pip-req-build-70wzdd7x
2022-11-23T01:17:55.1217565Z   Running command git clone --filter=blob:none --quiet https://github.com/openai/triton /tmp/pip-req-build-70wzdd7x
2022-11-23T01:17:55.8606668Z   Running command git rev-parse -q --verify 'sha^0d7e7532279e45672555e344646f5c19c3972331'
2022-11-23T01:17:55.8624648Z   Running command git fetch -q https://github.com/openai/triton 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:17:56.2282679Z   Running command git checkout -q 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:17:56.4046035Z   Resolved https://github.com/openai/triton to commit 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:17:56.4047005Z   Running command git submodule update --init --recursive -q
2022-11-23T01:17:56.9058125Z   Preparing metadata (setup.py) ... [?25l- done
2022-11-23T01:17:57.0539767Z [?25hCollecting cmake
2022-11-23T01:17:57.0758377Z   Downloading cmake-3.25.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB)
2022-11-23T01:17:57.3528642Z Collecting filelock
2022-11-23T01:17:57.3591785Z   Downloading filelock-3.8.0-py3-none-any.whl (10 kB)
2022-11-23T01:17:57.3628327Z Requirement already satisfied: torch in /opt/conda/lib/python3.10/site-packages (from triton==2.0.0) (1.14.0a0+git1cfd385)
2022-11-23T01:17:57.3811212Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (4.4.0)
2022-11-23T01:17:57.3815180Z Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (1.11.1)
2022-11-23T01:17:57.3819595Z Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch->triton==2.0.0) (2.6.3)
2022-11-23T01:17:57.3967609Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.10/site-packages (from sympy->torch->triton==2.0.0) (1.2.1)
2022-11-23T01:17:57.4019262Z Building wheels for collected packages: triton
2022-11-23T01:18:38.5337247Z   Building wheel for triton (setup.py) ... [?25l- \ | / - \ | / - \ | / done
2022-11-23T01:18:38.5701920Z [?25h  Created wheel for triton: filename=triton-2.0.0-cp310-cp310-linux_x86_64.whl size=15377935 sha256=dcfe44db198488e5fd4481cf3d2bf54e66a8d2ebc41322a25045cdcc2e9efaf6
2022-11-23T01:18:38.5703127Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/3f/1d/23/1c2bc47d618a44f9c949aea4b7e355e737a1f1ed208f009295
2022-11-23T01:18:38.5719138Z Successfully built triton
2022-11-23T01:18:39.1696959Z Installing collected packages: cmake, filelock, triton
2022-11-23T01:18:40.3127646Z Successfully installed cmake-3.25.0 filelock-3.8.0 triton-2.0.0
2022-11-23T01:18:40.4157779Z + pip_install --user jinja2
2022-11-23T01:18:40.4158097Z + pip install --progress-bar off --user jinja2
2022-11-23T01:18:40.8502957Z Collecting jinja2
2022-11-23T01:18:40.8735458Z   Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
2022-11-23T01:18:40.8965900Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2) (2.1.1)
2022-11-23T01:18:41.4969140Z Installing collected packages: jinja2
2022-11-23T01:18:41.6370552Z Successfully installed jinja2-3.1.2
2022-11-23T01:18:41.7106527Z + install_monkeytype
2022-11-23T01:18:41.7106916Z + pip_install MonkeyType
2022-11-23T01:18:41.7107483Z + pip install --progress-bar off MonkeyType
2022-11-23T01:18:42.1213615Z Collecting MonkeyType
2022-11-23T01:18:42.1491502Z   Downloading MonkeyType-22.2.0-py3-none-any.whl (37 kB)
2022-11-23T01:18:42.1726759Z Requirement already satisfied: mypy-extensions in /opt/conda/lib/python3.10/site-packages (from MonkeyType) (0.4.3)
2022-11-23T01:18:42.2372490Z Collecting libcst>=0.3.7
2022-11-23T01:18:42.2479230Z   Downloading libcst-0.4.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB)
2022-11-23T01:18:42.3246904Z Requirement already satisfied: typing-extensions>=3.7.4.2 in /opt/conda/lib/python3.10/site-packages (from libcst>=0.3.7->MonkeyType) (4.4.0)
2022-11-23T01:18:42.3555031Z Collecting typing-inspect>=0.4.0
2022-11-23T01:18:42.3623244Z   Downloading typing_inspect-0.8.0-py3-none-any.whl (8.7 kB)
2022-11-23T01:18:42.3812035Z Requirement already satisfied: pyyaml>=5.2 in /opt/conda/lib/python3.10/site-packages/PyYAML-6.0-py3.10-linux-x86_64.egg (from libcst>=0.3.7->MonkeyType) (6.0)
2022-11-23T01:18:42.9926975Z Installing collected packages: typing-inspect, libcst, MonkeyType
2022-11-23T01:18:43.8268499Z Successfully installed MonkeyType-22.2.0 libcst-0.4.9 typing-inspect-0.8.0
2022-11-23T01:18:43.9082562Z + test_python
2022-11-23T01:18:43.9083132Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --verbose
2022-11-23T01:18:45.6193293Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:18:46.4505422Z Ignoring disabled issues:  []
2022-11-23T01:18:46.9228215Z /var/lib/jenkins/workspace/test/run_test.py:1134: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
2022-11-23T01:18:46.9228831Z   if torch.version.cuda is not None and LooseVersion(torch.version.cuda) >= "11.6":
2022-11-23T01:18:46.9262865Z Selected tests:
2022-11-23T01:18:46.9263288Z  backends/xeon/test_launch
2022-11-23T01:18:46.9264745Z  benchmark_utils/test_benchmark_utils
2022-11-23T01:18:46.9265153Z  distributions/test_distributions
2022-11-23T01:18:46.9265362Z  dynamo/test_aot_autograd
2022-11-23T01:18:46.9265564Z  dynamo/test_aot_cudagraphs
2022-11-23T01:18:46.9265766Z  dynamo/test_dynamic_shapes
2022-11-23T01:18:46.9265942Z  dynamo/test_export
2022-11-23T01:18:46.9266139Z  dynamo/test_export_mutations
2022-11-23T01:18:46.9266335Z  dynamo/test_functions
2022-11-23T01:18:46.9270331Z  dynamo/test_global
2022-11-23T01:18:46.9270799Z  dynamo/test_global_declaration
2022-11-23T01:18:46.9271247Z  dynamo/test_minifier
2022-11-23T01:18:46.9271649Z  dynamo/test_misc
2022-11-23T01:18:46.9272032Z  dynamo/test_model_output
2022-11-23T01:18:46.9272447Z  dynamo/test_modules
2022-11-23T01:18:46.9272848Z  dynamo/test_no_fake_tensors
2022-11-23T01:18:46.9299400Z  dynamo/test_nops
2022-11-23T01:18:46.9299792Z  dynamo/test_optimizations
2022-11-23T01:18:46.9300147Z  dynamo/test_optimizers
2022-11-23T01:18:46.9300504Z  dynamo/test_python_autograd
2022-11-23T01:18:46.9300862Z  dynamo/test_recompile_ux
2022-11-23T01:18:46.9301194Z  dynamo/test_replay_record
2022-11-23T01:18:46.9301421Z  dynamo/test_repros
2022-11-23T01:18:46.9301725Z  dynamo/test_skip_non_tensor
2022-11-23T01:18:46.9302091Z  dynamo/test_subgraphs
2022-11-23T01:18:46.9302440Z  dynamo/test_torchxla_integration
2022-11-23T01:18:46.9302736Z  dynamo/test_unspec
2022-11-23T01:18:46.9303043Z  dynamo/test_verify_correctness
2022-11-23T01:18:46.9303376Z  inductor/test_minifier
2022-11-23T01:18:46.9303699Z  inductor/test_perf
2022-11-23T01:18:46.9304002Z  inductor/test_smoke
2022-11-23T01:18:46.9304311Z  inductor/test_torchinductor
2022-11-23T01:18:46.9304661Z  inductor/test_torchinductor_opinfo
2022-11-23T01:18:46.9304962Z  lazy/test_bindings
2022-11-23T01:18:46.9305238Z  lazy/test_debug_util
2022-11-23T01:18:46.9305431Z  lazy/test_extract_compiled_graph
2022-11-23T01:18:46.9305767Z  lazy/test_meta_kernel
2022-11-23T01:18:46.9306141Z  lazy/test_reuse_ir
2022-11-23T01:18:46.9306529Z  lazy/test_step_closures
2022-11-23T01:18:46.9306907Z  lazy/test_ts_opinfo
2022-11-23T01:18:46.9307296Z  nn/test_convolution
2022-11-23T01:18:46.9307670Z  nn/test_dropout
2022-11-23T01:18:46.9308020Z  nn/test_embedding
2022-11-23T01:18:46.9308396Z  nn/test_lazy_modules
2022-11-23T01:18:46.9308785Z  nn/test_module_hooks
2022-11-23T01:18:46.9309156Z  nn/test_packed_sequence
2022-11-23T01:18:46.9309544Z  nn/test_pooling
2022-11-23T01:18:46.9309960Z  profiler/test_memory_profiler
2022-11-23T01:18:46.9310373Z  profiler/test_profiler
2022-11-23T01:18:46.9310809Z  profiler/test_profiler_tree
2022-11-23T01:18:46.9311219Z  test_ao_sparsity
2022-11-23T01:18:46.9311563Z  test_autocast
2022-11-23T01:18:46.9311932Z  test_autograd
2022-11-23T01:18:46.9312310Z  test_binary_ufuncs
2022-11-23T01:18:46.9312675Z  test_bundled_inputs
2022-11-23T01:18:46.9313072Z  test_comparison_utils
2022-11-23T01:18:46.9313509Z  test_complex
2022-11-23T01:18:46.9314124Z  test_cpp_api_parity
2022-11-23T01:18:46.9314549Z  test_cpp_extensions_aot_ninja
2022-11-23T01:18:46.9314995Z  test_cpp_extensions_aot_no_ninja
2022-11-23T01:18:46.9315413Z  test_cpp_extensions_jit
2022-11-23T01:18:46.9315899Z  test_cpp_extensions_open_device_registration
2022-11-23T01:18:46.9316337Z  test_cuda
2022-11-23T01:18:46.9316697Z  test_cuda_nvml_based_avail
2022-11-23T01:18:46.9317105Z  test_cuda_primary_ctx
2022-11-23T01:18:46.9317492Z  test_cuda_sanitizer
2022-11-23T01:18:46.9317849Z  test_cuda_trace
2022-11-23T01:18:46.9318222Z  test_dataloader
2022-11-23T01:18:46.9318582Z  test_datapipe
2022-11-23T01:18:46.9318924Z  test_decomp
2022-11-23T01:18:46.9319276Z  test_deploy
2022-11-23T01:18:46.9319633Z  test_dispatch
2022-11-23T01:18:46.9319966Z  test_dlpack
2022-11-23T01:18:46.9320432Z  test_dynamic_shapes
2022-11-23T01:18:46.9320833Z  test_expanded_weights
2022-11-23T01:18:46.9321211Z  test_fake_tensor
2022-11-23T01:18:46.9321584Z  test_foreach
2022-11-23T01:18:46.9321963Z  test_function_schema
2022-11-23T01:18:46.9322384Z  test_functional_autograd_benchmark
2022-11-23T01:18:46.9322826Z  test_functional_optim
2022-11-23T01:18:46.9323242Z  test_functionalization
2022-11-23T01:18:46.9323635Z  test_futures
2022-11-23T01:18:46.9323972Z  test_fx
2022-11-23T01:18:46.9324336Z  test_fx_experimental
2022-11-23T01:18:46.9324702Z  test_fx_passes
2022-11-23T01:18:46.9325006Z  test_fx_reinplace_pass
2022-11-23T01:18:46.9325339Z  test_hub
2022-11-23T01:18:46.9325599Z  test_import_stats
2022-11-23T01:18:46.9325759Z  test_indexing
2022-11-23T01:18:46.9325921Z  test_itt
2022-11-23T01:18:46.9326075Z  test_jit
2022-11-23T01:18:46.9326284Z  test_jit_autocast
2022-11-23T01:18:46.9326543Z  test_jit_cuda_fuser
2022-11-23T01:18:46.9326765Z  test_jit_disabled
2022-11-23T01:18:46.9327025Z  test_jit_fuser_te
2022-11-23T01:18:46.9327356Z  test_jit_llga_fuser
2022-11-23T01:18:46.9327651Z  test_jiterator
2022-11-23T01:18:46.9327912Z  test_license
2022-11-23T01:18:46.9328165Z  test_linalg
2022-11-23T01:18:46.9328464Z  test_logging
2022-11-23T01:18:46.9328750Z  test_masked
2022-11-23T01:18:46.9329077Z  test_maskedtensor
2022-11-23T01:18:46.9329404Z  test_matmul_cuda
2022-11-23T01:18:46.9329701Z  test_meta
2022-11-23T01:18:46.9329879Z  test_mkl_verbose
2022-11-23T01:18:46.9330113Z  test_mkldnn
2022-11-23T01:18:46.9330370Z  test_mkldnn_fusion
2022-11-23T01:18:46.9330636Z  test_mkldnn_verbose
2022-11-23T01:18:46.9330920Z  test_mobile_optimizer
2022-11-23T01:18:46.9331227Z  test_model_dump
2022-11-23T01:18:46.9331542Z  test_module_init
2022-11-23T01:18:46.9331839Z  test_modules
2022-11-23T01:18:46.9332128Z  test_monitor
2022-11-23T01:18:46.9332452Z  test_multiprocessing
2022-11-23T01:18:46.9332665Z  test_multiprocessing_spawn
2022-11-23T01:18:46.9332843Z  test_namedtensor
2022-11-23T01:18:46.9333031Z  test_namedtuple_return_api
2022-11-23T01:18:46.9333223Z  test_native_functions
2022-11-23T01:18:46.9333387Z  test_native_mha
2022-11-23T01:18:46.9333556Z  test_nestedtensor
2022-11-23T01:18:46.9333720Z  test_nn
2022-11-23T01:18:46.9333878Z  test_numba_integration
2022-11-23T01:18:46.9334058Z  test_numpy_interop
2022-11-23T01:18:46.9334234Z  test_nvfuser_dynamo
2022-11-23T01:18:46.9334401Z  test_nvfuser_frontend
2022-11-23T01:18:46.9334572Z  test_openmp
2022-11-23T01:18:46.9334731Z  test_ops
2022-11-23T01:18:46.9334886Z  test_ops_fwd_gradients
2022-11-23T01:18:46.9335062Z  test_ops_gradients
2022-11-23T01:18:46.9335246Z  test_ops_jit
2022-11-23T01:18:46.9335395Z  test_optim
2022-11-23T01:18:46.9335557Z  test_overrides
2022-11-23T01:18:46.9335720Z  test_package
2022-11-23T01:18:46.9335880Z  test_per_overload_api
2022-11-23T01:18:46.9336053Z  test_prims
2022-11-23T01:18:46.9336218Z  test_proxy_tensor
2022-11-23T01:18:46.9336377Z  test_pruning_op
2022-11-23T01:18:46.9336775Z  test_public_bindings
2022-11-23T01:18:46.9336963Z  test_python_dispatch
2022-11-23T01:18:46.9337134Z  test_pytree
2022-11-23T01:18:46.9337291Z  test_quantization
2022-11-23T01:18:46.9337464Z  test_reductions
2022-11-23T01:18:46.9337756Z  test_scatter_gather_ops
2022-11-23T01:18:46.9337930Z  test_schema_check
2022-11-23T01:18:46.9338105Z  test_serialization
2022-11-23T01:18:46.9338303Z  test_set_default_mobile_cpu_allocator
2022-11-23T01:18:46.9338487Z  test_shape_ops
2022-11-23T01:18:46.9338660Z  test_show_pickle
2022-11-23T01:18:46.9338835Z  test_sort_and_select
2022-11-23T01:18:46.9338995Z  test_sparse
2022-11-23T01:18:46.9339163Z  test_sparse_csr
2022-11-23T01:18:46.9339336Z  test_spectral_ops
2022-11-23T01:18:46.9339496Z  test_stateless
2022-11-23T01:18:46.9339666Z  test_subclass
2022-11-23T01:18:46.9339842Z  test_tensor_creation_ops
2022-11-23T01:18:46.9340012Z  test_tensorboard
2022-11-23T01:18:46.9340183Z  test_tensorexpr
2022-11-23T01:18:46.9340361Z  test_tensorexpr_pybind
2022-11-23T01:18:46.9340527Z  test_testing
2022-11-23T01:18:46.9340736Z  test_torch
2022-11-23T01:18:46.9340903Z  test_transformers
2022-11-23T01:18:46.9341062Z  test_type_hints
2022-11-23T01:18:46.9341232Z  test_type_info
2022-11-23T01:18:46.9341400Z  test_type_promotion
2022-11-23T01:18:46.9341565Z  test_unary_ufuncs
2022-11-23T01:18:46.9341730Z  test_utils
2022-11-23T01:18:46.9341891Z  test_view_ops
2022-11-23T01:18:46.9342039Z  test_vmap
2022-11-23T01:18:46.9342196Z  test_vulkan
2022-11-23T01:18:46.9342369Z  test_xnnpack_integration
2022-11-23T01:18:46.9342532Z  doctests
2022-11-23T01:18:46.9398684Z Prioritized test from test file changes.
2022-11-23T01:18:46.9399040Z reordering tests for PR:
2022-11-23T01:18:46.9399225Z prioritized: []
2022-11-23T01:18:46.9405331Z the rest: ['backends/xeon/test_launch', 'benchmark_utils/test_benchmark_utils', 'distributions/test_distributions', 'dynamo/test_aot_autograd', 'dynamo/test_aot_cudagraphs', 'dynamo/test_dynamic_shapes', 'dynamo/test_export', 'dynamo/test_export_mutations', 'dynamo/test_functions', 'dynamo/test_global', 'dynamo/test_global_declaration', 'dynamo/test_minifier', 'dynamo/test_misc', 'dynamo/test_model_output', 'dynamo/test_modules', 'dynamo/test_no_fake_tensors', 'dynamo/test_nops', 'dynamo/test_optimizations', 'dynamo/test_optimizers', 'dynamo/test_python_autograd', 'dynamo/test_recompile_ux', 'dynamo/test_replay_record', 'dynamo/test_repros', 'dynamo/test_skip_non_tensor', 'dynamo/test_subgraphs', 'dynamo/test_torchxla_integration', 'dynamo/test_unspec', 'dynamo/test_verify_correctness', 'inductor/test_minifier', 'inductor/test_perf', 'inductor/test_smoke', 'inductor/test_torchinductor', 'inductor/test_torchinductor_opinfo', 'lazy/test_bindings', 'lazy/test_debug_util', 'lazy/test_extract_compiled_graph', 'lazy/test_meta_kernel', 'lazy/test_reuse_ir', 'lazy/test_step_closures', 'lazy/test_ts_opinfo', 'nn/test_convolution', 'nn/test_dropout', 'nn/test_embedding', 'nn/test_lazy_modules', 'nn/test_module_hooks', 'nn/test_packed_sequence', 'nn/test_pooling', 'profiler/test_memory_profiler', 'profiler/test_profiler', 'profiler/test_profiler_tree', 'test_ao_sparsity', 'test_autocast', 'test_autograd', 'test_binary_ufuncs', 'test_bundled_inputs', 'test_comparison_utils', 'test_complex', 'test_cpp_api_parity', 'test_cpp_extensions_aot_ninja', 'test_cpp_extensions_aot_no_ninja', 'test_cpp_extensions_jit', 'test_cpp_extensions_open_device_registration', 'test_cuda', 'test_cuda_nvml_based_avail', 'test_cuda_primary_ctx', 'test_cuda_sanitizer', 'test_cuda_trace', 'test_dataloader', 'test_datapipe', 'test_decomp', 'test_deploy', 'test_dispatch', 'test_dlpack', 'test_dynamic_shapes', 'test_expanded_weights', 'test_fake_tensor', 'test_foreach', 'test_function_schema', 'test_functional_autograd_benchmark', 'test_functional_optim', 'test_functionalization', 'test_futures', 'test_fx', 'test_fx_experimental', 'test_fx_passes', 'test_fx_reinplace_pass', 'test_hub', 'test_import_stats', 'test_indexing', 'test_itt', 'test_jit', 'test_jit_autocast', 'test_jit_cuda_fuser', 'test_jit_disabled', 'test_jit_fuser_te', 'test_jit_llga_fuser', 'test_jiterator', 'test_license', 'test_linalg', 'test_logging', 'test_masked', 'test_maskedtensor', 'test_matmul_cuda', 'test_meta', 'test_mkl_verbose', 'test_mkldnn', 'test_mkldnn_fusion', 'test_mkldnn_verbose', 'test_mobile_optimizer', 'test_model_dump', 'test_module_init', 'test_modules', 'test_monitor', 'test_multiprocessing', 'test_multiprocessing_spawn', 'test_namedtensor', 'test_namedtuple_return_api', 'test_native_functions', 'test_native_mha', 'test_nestedtensor', 'test_nn', 'test_numba_integration', 'test_numpy_interop', 'test_nvfuser_dynamo', 'test_nvfuser_frontend', 'test_openmp', 'test_ops', 'test_ops_fwd_gradients', 'test_ops_gradients', 'test_ops_jit', 'test_optim', 'test_overrides', 'test_package', 'test_per_overload_api', 'test_prims', 'test_proxy_tensor', 'test_pruning_op', 'test_public_bindings', 'test_python_dispatch', 'test_pytree', 'test_quantization', 'test_reductions', 'test_scatter_gather_ops', 'test_schema_check', 'test_serialization', 'test_set_default_mobile_cpu_allocator', 'test_shape_ops', 'test_show_pickle', 'test_sort_and_select', 'test_sparse', 'test_sparse_csr', 'test_spectral_ops', 'test_stateless', 'test_subclass', 'test_tensor_creation_ops', 'test_tensorboard', 'test_tensorexpr', 'test_tensorexpr_pybind', 'test_testing', 'test_torch', 'test_transformers', 'test_type_hints', 'test_type_info', 'test_type_promotion', 'test_unary_ufuncs', 'test_utils', 'test_view_ops', 'test_vmap', 'test_vulkan', 'test_xnnpack_integration', 'doctests']
2022-11-23T01:18:46.9409097Z 
2022-11-23T01:18:46.9409516Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json
2022-11-23T01:18:46.9578690Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2022-11-23T01:18:46.9778432Z parallel (file granularity) tests:
2022-11-23T01:18:46.9778948Z  backends/xeon/test_launch
2022-11-23T01:18:46.9780387Z  benchmark_utils/test_benchmark_utils
2022-11-23T01:18:46.9780714Z  dynamo/test_aot_autograd
2022-11-23T01:18:46.9780964Z  dynamo/test_aot_cudagraphs
2022-11-23T01:18:46.9781296Z  dynamo/test_dynamic_shapes
2022-11-23T01:18:46.9781620Z  dynamo/test_export
2022-11-23T01:18:46.9781927Z  dynamo/test_export_mutations
2022-11-23T01:18:46.9782246Z  dynamo/test_functions
2022-11-23T01:18:46.9782563Z  dynamo/test_global
2022-11-23T01:18:46.9782860Z  dynamo/test_global_declaration
2022-11-23T01:18:46.9784174Z  dynamo/test_minifier
2022-11-23T01:18:46.9784519Z  dynamo/test_misc
2022-11-23T01:18:46.9784836Z  dynamo/test_model_output
2022-11-23T01:18:46.9785181Z  dynamo/test_modules
2022-11-23T01:18:46.9785519Z  dynamo/test_no_fake_tensors
2022-11-23T01:18:46.9785828Z  dynamo/test_nops
2022-11-23T01:18:46.9786137Z  dynamo/test_optimizations
2022-11-23T01:18:46.9786484Z  dynamo/test_optimizers
2022-11-23T01:18:46.9786735Z  dynamo/test_python_autograd
2022-11-23T01:18:46.9787057Z  dynamo/test_recompile_ux
2022-11-23T01:18:46.9787366Z  dynamo/test_replay_record
2022-11-23T01:18:46.9787635Z  dynamo/test_repros
2022-11-23T01:18:46.9787982Z  dynamo/test_skip_non_tensor
2022-11-23T01:18:46.9788357Z  dynamo/test_subgraphs
2022-11-23T01:18:46.9788643Z  dynamo/test_torchxla_integration
2022-11-23T01:18:46.9788940Z  dynamo/test_unspec
2022-11-23T01:18:46.9789249Z  dynamo/test_verify_correctness
2022-11-23T01:18:46.9789608Z  inductor/test_minifier
2022-11-23T01:18:46.9789930Z  inductor/test_perf
2022-11-23T01:18:46.9790258Z  inductor/test_smoke
2022-11-23T01:18:46.9790607Z  inductor/test_torchinductor
2022-11-23T01:18:46.9790931Z  lazy/test_bindings
2022-11-23T01:18:46.9791258Z  lazy/test_debug_util
2022-11-23T01:18:46.9791616Z  lazy/test_extract_compiled_graph
2022-11-23T01:18:46.9791972Z  lazy/test_meta_kernel
2022-11-23T01:18:46.9792226Z  lazy/test_reuse_ir
2022-11-23T01:18:46.9792409Z  lazy/test_step_closures
2022-11-23T01:18:46.9792579Z  lazy/test_ts_opinfo
2022-11-23T01:18:46.9792758Z  nn/test_convolution
2022-11-23T01:18:46.9792981Z  nn/test_dropout
2022-11-23T01:18:46.9793154Z  nn/test_embedding
2022-11-23T01:18:46.9793398Z  nn/test_lazy_modules
2022-11-23T01:18:46.9793582Z  nn/test_module_hooks
2022-11-23T01:18:46.9793899Z  nn/test_packed_sequence
2022-11-23T01:18:46.9794090Z  profiler/test_memory_profiler
2022-11-23T01:18:46.9794290Z  profiler/test_profiler
2022-11-23T01:18:46.9794488Z  profiler/test_profiler_tree
2022-11-23T01:18:46.9794678Z  test_ao_sparsity
2022-11-23T01:18:46.9794835Z  test_autocast
2022-11-23T01:18:46.9795007Z  test_binary_ufuncs
2022-11-23T01:18:46.9795185Z  test_bundled_inputs
2022-11-23T01:18:46.9795356Z  test_comparison_utils
2022-11-23T01:18:46.9795535Z  test_complex
2022-11-23T01:18:46.9795709Z  test_cuda_sanitizer
2022-11-23T01:18:46.9795869Z  test_dataloader
2022-11-23T01:18:46.9796038Z  test_datapipe
2022-11-23T01:18:46.9796203Z  test_decomp
2022-11-23T01:18:46.9796354Z  test_deploy
2022-11-23T01:18:46.9796516Z  test_dlpack
2022-11-23T01:18:46.9796683Z  test_dynamic_shapes
2022-11-23T01:18:46.9796906Z  test_expanded_weights
2022-11-23T01:18:46.9797084Z  test_foreach
2022-11-23T01:18:46.9797259Z  test_function_schema
2022-11-23T01:18:46.9797447Z  test_functional_autograd_benchmark
2022-11-23T01:18:46.9797650Z  test_functional_optim
2022-11-23T01:18:46.9797843Z  test_functionalization
2022-11-23T01:18:46.9798009Z  test_futures
2022-11-23T01:18:46.9798186Z  test_fx_experimental
2022-11-23T01:18:46.9798362Z  test_fx_passes
2022-11-23T01:18:46.9798527Z  test_fx_reinplace_pass
2022-11-23T01:18:46.9798703Z  test_hub
2022-11-23T01:18:46.9798868Z  test_import_stats
2022-11-23T01:18:46.9799024Z  test_itt
2022-11-23T01:18:46.9799176Z  test_jit
2022-11-23T01:18:46.9799334Z  test_jit_autocast
2022-11-23T01:18:46.9799494Z  test_jit_fuser_te
2022-11-23T01:18:46.9799694Z  test_jit_llga_fuser
2022-11-23T01:18:46.9799883Z  test_jiterator
2022-11-23T01:18:46.9800109Z  test_license
2022-11-23T01:18:46.9800274Z  test_logging
2022-11-23T01:18:46.9800435Z  test_masked
2022-11-23T01:18:46.9800590Z  test_maskedtensor
2022-11-23T01:18:46.9800764Z  test_matmul_cuda
2022-11-23T01:18:46.9800928Z  test_meta
2022-11-23T01:18:46.9801077Z  test_mkl_verbose
2022-11-23T01:18:46.9801243Z  test_mkldnn
2022-11-23T01:18:46.9801410Z  test_mkldnn_fusion
2022-11-23T01:18:46.9801572Z  test_mkldnn_verbose
2022-11-23T01:18:46.9801745Z  test_model_dump
2022-11-23T01:18:46.9801914Z  test_module_init
2022-11-23T01:18:46.9802066Z  test_monitor
2022-11-23T01:18:46.9802230Z  test_namedtensor
2022-11-23T01:18:46.9802403Z  test_native_functions
2022-11-23T01:18:46.9802567Z  test_native_mha
2022-11-23T01:18:46.9802739Z  test_nestedtensor
2022-11-23T01:18:46.9802917Z  test_numba_integration
2022-11-23T01:18:46.9803086Z  test_numpy_interop
2022-11-23T01:18:46.9803262Z  test_nvfuser_dynamo
2022-11-23T01:18:46.9803438Z  test_nvfuser_frontend
2022-11-23T01:18:46.9803597Z  test_openmp
2022-11-23T01:18:46.9803759Z  test_optim
2022-11-23T01:18:46.9803919Z  test_package
2022-11-23T01:18:46.9804079Z  test_per_overload_api
2022-11-23T01:18:46.9804261Z  test_proxy_tensor
2022-11-23T01:18:46.9804432Z  test_pruning_op
2022-11-23T01:18:46.9804593Z  test_public_bindings
2022-11-23T01:18:46.9804772Z  test_python_dispatch
2022-11-23T01:18:46.9804942Z  test_pytree
2022-11-23T01:18:46.9805100Z  test_quantization
2022-11-23T01:18:46.9805283Z  test_scatter_gather_ops
2022-11-23T01:18:46.9805464Z  test_schema_check
2022-11-23T01:18:46.9805626Z  test_serialization
2022-11-23T01:18:46.9805821Z  test_set_default_mobile_cpu_allocator
2022-11-23T01:18:46.9806016Z  test_shape_ops
2022-11-23T01:18:46.9806178Z  test_sort_and_select
2022-11-23T01:18:46.9806348Z  test_sparse
2022-11-23T01:18:46.9806516Z  test_spectral_ops
2022-11-23T01:18:46.9806673Z  test_stateless
2022-11-23T01:18:46.9806838Z  test_subclass
2022-11-23T01:18:46.9807007Z  test_tensorboard
2022-11-23T01:18:46.9807175Z  test_tensorexpr_pybind
2022-11-23T01:18:46.9807351Z  test_testing
2022-11-23T01:18:46.9807518Z  test_transformers
2022-11-23T01:18:46.9807675Z  test_type_hints
2022-11-23T01:18:46.9807845Z  test_type_info
2022-11-23T01:18:46.9808018Z  test_type_promotion
2022-11-23T01:18:46.9808181Z  test_unary_ufuncs
2022-11-23T01:18:46.9808344Z  test_utils
2022-11-23T01:18:46.9808508Z  test_view_ops
2022-11-23T01:18:46.9808722Z  test_vmap
2022-11-23T01:18:46.9808886Z  test_vulkan
2022-11-23T01:18:46.9809063Z  test_xnnpack_integration
2022-11-23T01:18:46.9809254Z serial (file granularity) tests:
2022-11-23T01:18:46.9809470Z  distributions/test_distributions
2022-11-23T01:18:46.9809692Z  inductor/test_torchinductor_opinfo
2022-11-23T01:18:46.9809877Z  nn/test_pooling
2022-11-23T01:18:46.9810046Z  test_autograd
2022-11-23T01:18:46.9810219Z  test_cpp_api_parity
2022-11-23T01:18:46.9810401Z  test_cpp_extensions_aot_ninja
2022-11-23T01:18:46.9810609Z  test_cpp_extensions_aot_no_ninja
2022-11-23T01:18:46.9810810Z  test_cpp_extensions_jit
2022-11-23T01:18:46.9811017Z  test_cpp_extensions_open_device_registration
2022-11-23T01:18:46.9811217Z  test_cuda
2022-11-23T01:18:46.9811389Z  test_cuda_nvml_based_avail
2022-11-23T01:18:46.9811598Z  test_cuda_primary_ctx
2022-11-23T01:18:46.9811776Z  test_cuda_trace
2022-11-23T01:18:46.9811943Z  test_dispatch
2022-11-23T01:18:46.9812100Z  test_fake_tensor
2022-11-23T01:18:46.9812264Z  test_fx
2022-11-23T01:18:46.9812423Z  test_indexing
2022-11-23T01:18:46.9812579Z  test_jit_cuda_fuser
2022-11-23T01:18:46.9812751Z  test_jit_disabled
2022-11-23T01:18:46.9812917Z  test_linalg
2022-11-23T01:18:46.9813076Z  test_mobile_optimizer
2022-11-23T01:18:46.9813249Z  test_modules
2022-11-23T01:18:46.9813421Z  test_multiprocessing
2022-11-23T01:18:46.9813604Z  test_multiprocessing_spawn
2022-11-23T01:18:46.9813804Z  test_namedtuple_return_api
2022-11-23T01:18:46.9813976Z  test_nn
2022-11-23T01:18:46.9814115Z  test_ops
2022-11-23T01:18:46.9814284Z  test_ops_fwd_gradients
2022-11-23T01:18:46.9814466Z  test_ops_gradients
2022-11-23T01:18:46.9814621Z  test_ops_jit
2022-11-23T01:18:46.9814784Z  test_overrides
2022-11-23T01:18:46.9814948Z  test_prims
2022-11-23T01:18:46.9815098Z  test_reductions
2022-11-23T01:18:46.9815271Z  test_show_pickle
2022-11-23T01:18:46.9815441Z  test_sparse_csr
2022-11-23T01:18:46.9815607Z  test_tensor_creation_ops
2022-11-23T01:18:46.9815786Z  test_tensorexpr
2022-11-23T01:18:46.9815952Z  test_torch
2022-11-23T01:18:46.9816098Z  doctests
2022-11-23T01:18:48.6434697Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:18:48.6483129Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:18:48.7076950Z Ignoring disabled issues:  []
2022-11-23T01:18:48.7217972Z Running backends/xeon/test_launch ... [2022-11-23 01:18:48.721537]
2022-11-23T01:18:48.7220644Z Executing ['/opt/conda/bin/python', '-bb', 'backends/xeon/test_launch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:48.721828]
2022-11-23T01:18:48.7234500Z Ignoring disabled issues:  []
2022-11-23T01:18:48.7376145Z Running benchmark_utils/test_benchmark_utils ... [2022-11-23 01:18:48.737377]
2022-11-23T01:18:48.7379666Z Executing ['/opt/conda/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:48.737687]
2022-11-23T01:18:51.8172698Z 
2022-11-23T01:18:51.8173479Z Expand the folded group to see the log file of benchmark_utils/test_benchmark_utils
2022-11-23T01:18:51.8178669Z ##[group]PRINTING LOG FILE of benchmark_utils/test_benchmark_utils (/var/lib/jenkins/workspace/test/test-reports/benchmark_utils-test_benchmark_utils_3bqkbjt2)
2022-11-23T01:18:51.8179219Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:18:51.8179374Z 
2022-11-23T01:18:51.8179479Z Running tests...
2022-11-23T01:18:51.8179775Z ----------------------------------------------------------------------
2022-11-23T01:18:51.8180196Z Test results will be stored in test-reports/python-unittest/benchmark_utils.test_benchmark_utils
2022-11-23T01:18:51.8180534Z   test_adaptive_timer (__main__.TestBenchmarkUtils) ... ok (0.820s)
2022-11-23T01:18:51.8181559Z   test_collect_callgrind (__main__.TestBenchmarkUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76932 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:18:51.8182180Z   test_collect_cpp_callgrind (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.001s)
2022-11-23T01:18:51.8182494Z   test_compare (__main__.TestBenchmarkUtils) ... ok (0.123s)
2022-11-23T01:18:51.8182802Z   test_cpp_timer (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.000s)
2022-11-23T01:18:51.8183103Z   test_fuzzer (__main__.TestBenchmarkUtils) ... ok (0.003s)
2022-11-23T01:18:51.8183379Z   test_manipulate_callgrind_stats (__main__.TestBenchmarkUtils) ... ok (0.038s)
2022-11-23T01:18:51.8183670Z   test_timer (__main__.TestBenchmarkUtils) ... ok (0.029s)
2022-11-23T01:18:51.8183983Z   test_timer_tiny_fast_snippet (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.000s)
2022-11-23T01:18:51.8184234Z 
2022-11-23T01:18:51.8184421Z ----------------------------------------------------------------------
2022-11-23T01:18:51.8184661Z Ran 9 tests in 1.018s
2022-11-23T01:18:51.8184774Z 
2022-11-23T01:18:51.8184844Z OK (skipped=4)
2022-11-23T01:18:51.8184950Z 
2022-11-23T01:18:51.8185036Z Generating XML reports...
2022-11-23T01:18:51.8185475Z Generated XML report: test-reports/python-unittest/benchmark_utils.test_benchmark_utils/TEST-TestBenchmarkUtils-20221123011850.xml
2022-11-23T01:18:51.8185736Z 
2022-11-23T01:18:51.8185990Z ##[endgroup]
2022-11-23T01:18:51.8186441Z FINISHED PRINTING LOG FILE of benchmark_utils/test_benchmark_utils (/var/lib/jenkins/workspace/test/test-reports/benchmark_utils-test_benchmark_utils_3bqkbjt2)
2022-11-23T01:18:51.8186692Z 
2022-11-23T01:18:52.2014673Z 
2022-11-23T01:18:52.2015236Z Expand the folded group to see the log file of backends/xeon/test_launch
2022-11-23T01:18:52.2016287Z ##[group]PRINTING LOG FILE of backends/xeon/test_launch (/var/lib/jenkins/workspace/test/test-reports/backends-xeon-test_launch_52vv7uil)
2022-11-23T01:18:52.2016728Z 
2022-11-23T01:18:52.2016811Z Running tests...
2022-11-23T01:18:52.2017230Z ----------------------------------------------------------------------
2022-11-23T01:18:52.2017619Z Test results will be stored in test-reports/python-unittest/backends.xeon.test_launch
2022-11-23T01:18:52.2018469Z   test_cpu_info (__main__.TestTorchrun) ... 2022-11-23 01:18:50,246 - torch.backends.xeon.run_cpu - WARNING - Numa Aware: cores:[2, 3, 4, 5] on different NUMA nodes:[0, 1]. To avoid this behavior, please use --ncores_per_instance knob to make sure number of cores is divisible by --ncores_per_instance. Alternatively, please use --skip_cross_node_cores knob.
2022-11-23T01:18:52.2018943Z ok (0.138s)
2022-11-23T01:18:52.2019161Z   test_multi_threads (__main__.TestTorchrun) ... ok (1.656s)
2022-11-23T01:18:52.2019309Z 
2022-11-23T01:18:52.2019493Z ----------------------------------------------------------------------
2022-11-23T01:18:52.2019739Z Ran 2 tests in 1.795s
2022-11-23T01:18:52.2019852Z 
2022-11-23T01:18:52.2019915Z OK
2022-11-23T01:18:52.2020006Z 
2022-11-23T01:18:52.2020092Z Generating XML reports...
2022-11-23T01:18:52.2020499Z Generated XML report: test-reports/python-unittest/backends.xeon.test_launch/TEST-TestTorchrun-20221123011850.xml
2022-11-23T01:18:52.2020734Z 
2022-11-23T01:18:52.2020964Z ##[endgroup]
2022-11-23T01:18:52.2021384Z FINISHED PRINTING LOG FILE of backends/xeon/test_launch (/var/lib/jenkins/workspace/test/test-reports/backends-xeon-test_launch_52vv7uil)
2022-11-23T01:18:52.2021607Z 
2022-11-23T01:18:53.7662826Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:18:53.8255983Z Ignoring disabled issues:  []
2022-11-23T01:18:53.8397385Z Running dynamo/test_aot_autograd ... [2022-11-23 01:18:53.839433]
2022-11-23T01:18:53.8399332Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:53.839710]
2022-11-23T01:18:54.1386455Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:18:54.1977323Z Ignoring disabled issues:  []
2022-11-23T01:18:54.2116600Z Running dynamo/test_aot_cudagraphs ... [2022-11-23 01:18:54.211406]
2022-11-23T01:18:54.2118698Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_aot_cudagraphs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:54.211655]
2022-11-23T01:18:56.0023547Z 
2022-11-23T01:18:56.0024123Z Expand the folded group to see the log file of dynamo/test_aot_cudagraphs
2022-11-23T01:18:56.0025310Z ##[group]PRINTING LOG FILE of dynamo/test_aot_cudagraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_cudagraphs_f_j9ed_l)
2022-11-23T01:18:56.0025737Z 
2022-11-23T01:18:56.0025881Z Running tests...
2022-11-23T01:18:56.0026549Z ----------------------------------------------------------------------
2022-11-23T01:18:56.0027480Z   test_basic (__main__.TestAotCudagraphs) ... Test results will be stored in test-reports/python-unittest/dynamo.test_aot_cudagraphs
2022-11-23T01:18:56.0028326Z skip: these tests require cuda (0.000s)
2022-11-23T01:18:56.0028788Z   test_dead_fill (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2022-11-23T01:18:56.0029124Z   test_dtoh (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s)
2022-11-23T01:18:56.0029455Z   test_factory (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s)
2022-11-23T01:18:56.0029768Z   test_htod (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s)
2022-11-23T01:18:56.0030103Z   test_mutate_constant (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2022-11-23T01:18:56.0030442Z   test_mutate_input (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.001s)
2022-11-23T01:18:56.0030783Z   test_mutated_metadata (__main__.TestAotCudagraphs) ... skip: these tests require cuda (0.000s)
2022-11-23T01:18:56.0030977Z 
2022-11-23T01:18:56.0031172Z ----------------------------------------------------------------------
2022-11-23T01:18:56.0031416Z Ran 8 tests in 0.004s
2022-11-23T01:18:56.0031534Z 
2022-11-23T01:18:56.0031608Z OK (skipped=8)
2022-11-23T01:18:56.0031719Z 
2022-11-23T01:18:56.0031805Z Generating XML reports...
2022-11-23T01:18:56.0032239Z Generated XML report: test-reports/python-unittest/dynamo.test_aot_cudagraphs/TEST-TestAotCudagraphs-20221123011855.xml
2022-11-23T01:18:56.0032492Z 
2022-11-23T01:18:56.0032736Z ##[endgroup]
2022-11-23T01:18:56.0033161Z FINISHED PRINTING LOG FILE of dynamo/test_aot_cudagraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_cudagraphs_f_j9ed_l)
2022-11-23T01:18:56.0033463Z 
2022-11-23T01:18:57.9115729Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:18:57.9921241Z Ignoring disabled issues:  []
2022-11-23T01:18:58.0063232Z Running dynamo/test_dynamic_shapes ... [2022-11-23 01:18:58.006097]
2022-11-23T01:18:58.0065853Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:58.006390]
2022-11-23T01:18:59.6087665Z 
2022-11-23T01:18:59.6088253Z Expand the folded group to see the log file of dynamo/test_aot_autograd
2022-11-23T01:18:59.6089414Z ##[group]PRINTING LOG FILE of dynamo/test_aot_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_autograd_p_6a_vnx)
2022-11-23T01:18:59.6089848Z 
2022-11-23T01:18:59.6090015Z Running tests...
2022-11-23T01:18:59.6090836Z ----------------------------------------------------------------------
2022-11-23T01:18:59.6091506Z Test results will be stored in test-reports/python-unittest/dynamo.test_aot_autograd
2022-11-23T01:18:59.6092503Z   test_LSTM (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:18:58,347] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of LSTM
2022-11-23T01:18:59.6093115Z ok (3.121s)
2022-11-23T01:18:59.6093817Z   test_call_fn_with_non_const_inputs_aot_safe (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:18:59.6094813Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:18:59.6095220Z inline_call []
2022-11-23T01:18:59.6095800Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:18:59.6096613Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:18:59.6097007Z ok (0.042s)
2022-11-23T01:18:59.6098300Z   test_call_fn_with_non_const_inputs_aot_unsafe (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:18:58,536] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:18:59.6099201Z inline_call []
2022-11-23T01:18:59.6099914Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:18:59.6100553Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:18:59.6100961Z ok (0.028s)
2022-11-23T01:18:59.6102047Z   test_call_fn_with_non_const_inputs_aot_unsafe_control_flow (__main__.AotAutogradFallbackTests) ... frames [('total', 8), ('ok', 8)]
2022-11-23T01:18:59.6102962Z inline_call [('generic_jump TensorVariable()', 2)]
2022-11-23T01:18:59.6103476Z unimplemented []
2022-11-23T01:18:59.6104077Z graph_break [('generic_jump TensorVariable()', 2)]
2022-11-23T01:18:59.6104890Z stats [('calls_captured', 14), ('unique_graphs', 8), ('fusions_possible', 6)]
2022-11-23T01:18:59.6105420Z ok (0.063s)
2022-11-23T01:18:59.6106599Z   test_mutation (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:18:58,608] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:18:59.6107541Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:18:59.6108232Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:18:59.6108765Z ok (0.008s)
2022-11-23T01:18:59.6109953Z   test_mutation1 (__main__.AotAutogradFallbackTests) ... [2022-11-23 01:18:58,902] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:18:59.6110902Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:18:59.6111596Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:18:59.6112118Z ok (0.298s)
2022-11-23T01:18:59.6112899Z   test_negative_testing (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:18:59.6113889Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:18:59.6114425Z ok (0.008s)
2022-11-23T01:18:59.6115238Z   test_negative_testing_mutation (__main__.AotAutogradFallbackTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:18:59.6116142Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:18:59.6116663Z ok (0.304s)
2022-11-23T01:18:59.6116889Z 
2022-11-23T01:18:59.6117342Z ----------------------------------------------------------------------
2022-11-23T01:18:59.6117912Z Ran 8 tests in 3.874s
2022-11-23T01:18:59.6118166Z 
2022-11-23T01:18:59.6118306Z OK
2022-11-23T01:18:59.6118515Z 
2022-11-23T01:18:59.6118705Z Generating XML reports...
2022-11-23T01:18:59.6119741Z Generated XML report: test-reports/python-unittest/dynamo.test_aot_autograd/TEST-AotAutogradFallbackTests-20221123011855.xml
2022-11-23T01:18:59.6120404Z 
2022-11-23T01:18:59.6120952Z ##[endgroup]
2022-11-23T01:18:59.6121949Z FINISHED PRINTING LOG FILE of dynamo/test_aot_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_aot_autograd_p_6a_vnx)
2022-11-23T01:18:59.6122516Z 
2022-11-23T01:19:01.5057162Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:01.5874924Z Ignoring disabled issues:  []
2022-11-23T01:19:01.6079114Z Running dynamo/test_export ... [2022-11-23 01:19:01.607626]
2022-11-23T01:19:01.6081657Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:01.607897]
2022-11-23T01:19:04.9205066Z 
2022-11-23T01:19:04.9205600Z Expand the folded group to see the log file of dynamo/test_export
2022-11-23T01:19:04.9208471Z ##[group]PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_3o2c_dhs)
2022-11-23T01:19:04.9208913Z 
2022-11-23T01:19:04.9209041Z Running tests...
2022-11-23T01:19:04.9209660Z ----------------------------------------------------------------------
2022-11-23T01:19:04.9210322Z Test results will be stored in test-reports/python-unittest/dynamo.test_export
2022-11-23T01:19:04.9210818Z   test_dict_return (__main__.ExportTests) ... ok (0.256s)
2022-11-23T01:19:04.9211546Z   test_dict_return_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:04.9212232Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:04.9212624Z ok (0.017s)
2022-11-23T01:19:04.9213258Z   test_dupes (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9213837Z ok (0.008s)
2022-11-23T01:19:04.9214479Z   test_dupes_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9214909Z ok (0.008s)
2022-11-23T01:19:04.9215560Z   test_dupes_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9216013Z ok (0.011s)
2022-11-23T01:19:04.9216867Z   test_dupes_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9217339Z ok (0.009s)
2022-11-23T01:19:04.9218073Z   test_dupes_and_bypass_reorder_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9218590Z ok (0.095s)
2022-11-23T01:19:04.9219356Z   test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9219883Z ok (0.013s)
2022-11-23T01:19:04.9220565Z   test_dupes_and_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9221024Z ok (0.012s)
2022-11-23T01:19:04.9221708Z   test_dupes_and_bypass_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9222190Z ok (0.010s)
2022-11-23T01:19:04.9222893Z   test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9223410Z ok (0.012s)
2022-11-23T01:19:04.9224077Z   test_dupes_and_bypass_with_non_tensor_output (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:04.9224589Z ok (0.013s)
2022-11-23T01:19:04.9225397Z   test_dupes_and_bypass_with_non_tensor_output_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:04.9225940Z ok (0.013s)
2022-11-23T01:19:04.9226619Z   test_dupes_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9227074Z ok (0.011s)
2022-11-23T01:19:04.9227433Z   test_export (__main__.ExportTests) ... inline_call []
2022-11-23T01:19:04.9227994Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)]
2022-11-23T01:19:04.9228393Z ok (0.115s)
2022-11-23T01:19:04.9229106Z   test_export_compare_optimize_with_make_fx (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:04.9229557Z ok (0.041s)
2022-11-23T01:19:04.9230215Z   test_export_decomp (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:04.9230697Z ok (0.020s)
2022-11-23T01:19:04.9231115Z   test_export_decomp_asserts_bad_args (__main__.ExportTests) ... ok (0.001s)
2022-11-23T01:19:04.9231801Z   test_export_decomp_asserts_bad_args_mode (__main__.ExportTests) ... ok (0.001s)
2022-11-23T01:19:04.9232563Z   test_export_graph_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9233060Z ok (0.012s)
2022-11-23T01:19:04.9233882Z   test_export_graph_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9234407Z ok (0.014s)
2022-11-23T01:19:04.9235093Z   test_export_graph_with_complex_reorder (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:04.9235583Z ok (0.015s)
2022-11-23T01:19:04.9236273Z   test_export_graph_with_complex_reorder_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:04.9236892Z ok (0.019s)
2022-11-23T01:19:04.9237536Z   test_export_graph_with_list (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9237968Z ok (0.013s)
2022-11-23T01:19:04.9238629Z   test_export_graph_with_list_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9239088Z ok (0.015s)
2022-11-23T01:19:04.9239699Z   test_export_meta_val (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:04.9240120Z ok (0.068s)
2022-11-23T01:19:04.9240791Z   test_export_mismatched_out (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9241259Z ok (0.009s)
2022-11-23T01:19:04.9241908Z   test_export_mismatched_out_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9242362Z ok (0.009s)
2022-11-23T01:19:04.9243040Z   test_export_mismatched_out_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9243460Z ok (0.012s)
2022-11-23T01:19:04.9244061Z   test_export_mismatched_out_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9244507Z ok (0.011s)
2022-11-23T01:19:04.9245027Z   test_export_shape_control_flow_1 (__main__.ExportTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:04.9245595Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:04.9245911Z ok (0.025s)
2022-11-23T01:19:04.9246228Z   test_export_with_aten_graph (__main__.ExportTests) ... inline_call []
2022-11-23T01:19:04.9246829Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)]
2022-11-23T01:19:04.9247145Z ok (0.145s)
2022-11-23T01:19:04.9247763Z   test_export_with_constant_dict_values (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:04.9248191Z ok (0.010s)
2022-11-23T01:19:04.9248846Z   test_export_with_constant_free_function (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:04.9249305Z ok (0.015s)
2022-11-23T01:19:04.9249993Z   test_export_with_constant_free_function_and_class_method (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:04.9250495Z ok (0.013s)
2022-11-23T01:19:04.9251194Z   test_export_with_constant_free_function_and_class_method_multiarg (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:04.9251746Z ok (0.015s)
2022-11-23T01:19:04.9252517Z   test_export_with_constant_free_function_and_class_method_multiarg_diff (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:04.9253172Z ok (0.008s)
2022-11-23T01:19:04.9253875Z   test_export_with_constant_list_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:04.9254362Z ok (0.018s)
2022-11-23T01:19:04.9255111Z   test_export_with_constant_list_nonzero_free_function (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:04.9255609Z ok (0.018s)
2022-11-23T01:19:04.9256284Z   test_export_with_constant_method_on_module (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:04.9256892Z ok (0.012s)
2022-11-23T01:19:04.9257647Z   test_export_with_constant_method_on_module_invoke_twice (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:04.9258281Z ok (0.014s)
2022-11-23T01:19:04.9259025Z   test_export_with_constant_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:04.9259538Z ok (0.007s)
2022-11-23T01:19:04.9260186Z   test_export_with_constant_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:04.9260659Z ok (0.006s)
2022-11-23T01:19:04.9261325Z   test_export_with_constant_not_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:04.9261788Z ok (0.008s)
2022-11-23T01:19:04.9262520Z   test_export_with_constant_not_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:04.9263001Z ok (0.007s)
2022-11-23T01:19:04.9263722Z   test_export_with_constant_not_none_control_flow_pos (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:04.9264173Z ok (0.007s)
2022-11-23T01:19:04.9264822Z   test_export_with_constant_not_return_const (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:04.9265259Z ok (0.006s)
2022-11-23T01:19:04.9265901Z   test_export_with_constant_tuple_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:04.9266327Z ok (0.019s)
2022-11-23T01:19:04.9266928Z   test_export_with_module_layer (__main__.ExportTests) ... stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:19:04.9267402Z ok (0.020s)
2022-11-23T01:19:04.9268084Z   test_export_with_stack_trace (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:04.9268579Z ok (0.029s)
2022-11-23T01:19:04.9268960Z   test_func_return (__main__.ExportTests) ... inline_call []
2022-11-23T01:19:04.9269588Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:04.9269974Z ok (0.015s)
2022-11-23T01:19:04.9270391Z   test_func_return_with_aten_graph (__main__.ExportTests) ... inline_call []
2022-11-23T01:19:04.9271039Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:04.9271421Z ok (0.022s)
2022-11-23T01:19:04.9272085Z   test_list_unpack (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9272558Z ok (0.013s)
2022-11-23T01:19:04.9273255Z   test_list_unpack_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:04.9273858Z ok (0.016s)
2022-11-23T01:19:04.9274569Z   test_zeroes_in_and_out_different_shape_on_test (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:04.9275016Z ok (0.013s)
2022-11-23T01:19:04.9275838Z   test_zeroes_in_and_out_different_shape_on_test_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:04.9276325Z ok (0.018s)
2022-11-23T01:19:04.9276956Z   test_zeroes_in_new_shape_scalar_out (__main__.ExportTests) ... stats [('calls_captured', 16), ('fusions_possible', 14), ('unique_graphs', 2)]
2022-11-23T01:19:04.9277427Z ok (0.020s)
2022-11-23T01:19:04.9278183Z   test_zeroes_in_new_shape_scalar_out_permute (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)]
2022-11-23T01:19:04.9278698Z ok (0.025s)
2022-11-23T01:19:04.9279501Z   test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)]
2022-11-23T01:19:04.9280110Z ok (0.025s)
2022-11-23T01:19:04.9280289Z 
2022-11-23T01:19:04.9280655Z ----------------------------------------------------------------------
2022-11-23T01:19:04.9281086Z Ran 59 tests in 1.438s
2022-11-23T01:19:04.9281289Z 
2022-11-23T01:19:04.9281381Z OK
2022-11-23T01:19:04.9281531Z 
2022-11-23T01:19:04.9281663Z Generating XML reports...
2022-11-23T01:19:04.9282312Z Generated XML report: test-reports/python-unittest/dynamo.test_export/TEST-ExportTests-20221123011903.xml
2022-11-23T01:19:04.9282680Z 
2022-11-23T01:19:04.9283102Z ##[endgroup]
2022-11-23T01:19:04.9283775Z FINISHED PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_3o2c_dhs)
2022-11-23T01:19:04.9284156Z 
2022-11-23T01:19:06.8571043Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:06.9355722Z Ignoring disabled issues:  []
2022-11-23T01:19:06.9496432Z Running dynamo/test_export_mutations ... [2022-11-23 01:19:06.949376]
2022-11-23T01:19:06.9498611Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:06.949672]
2022-11-23T01:19:09.0916414Z 
2022-11-23T01:19:09.0917146Z Expand the folded group to see the log file of dynamo/test_export_mutations
2022-11-23T01:19:09.0918590Z ##[group]PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_h0ucjjmv)
2022-11-23T01:19:09.0919242Z 
2022-11-23T01:19:09.0919398Z Running tests...
2022-11-23T01:19:09.0920218Z ----------------------------------------------------------------------
2022-11-23T01:19:09.0921176Z Test results will be stored in test-reports/python-unittest/dynamo.test_export_mutations
2022-11-23T01:19:09.0923557Z   test_module_attribute_mutation_violation_negative_1 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88468 for platform(s) linux, macos, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.245s)
2022-11-23T01:19:09.0926640Z   test_module_attribute_mutation_violation_negative_2 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88475 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:19:09.0929743Z   test_module_attribute_mutation_violation_negative_3 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88466 for platform(s) linux, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:19:09.0933055Z   test_module_attribute_mutation_violation_negative_4 (__main__.MutationExportTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88467 for platform(s) linux, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:19:09.0934674Z   test_module_attribute_mutation_violation_positive_1 (__main__.MutationExportTests) ... ok (0.009s)
2022-11-23T01:19:09.0935534Z   test_module_attribute_mutation_violation_positive_2 (__main__.MutationExportTests) ... ok (0.003s)
2022-11-23T01:19:09.0936406Z   test_module_attribute_mutation_violation_positive_3 (__main__.MutationExportTests) ... ok (0.002s)
2022-11-23T01:19:09.0937566Z   test_module_attribute_mutation_violation_positive_4 (__main__.MutationExportTests) ... inline_call []
2022-11-23T01:19:09.0938176Z ok (0.004s)
2022-11-23T01:19:09.0938548Z 
2022-11-23T01:19:09.0939039Z ----------------------------------------------------------------------
2022-11-23T01:19:09.0939598Z Ran 8 tests in 0.266s
2022-11-23T01:19:09.0939864Z 
2022-11-23T01:19:09.0940024Z OK (skipped=4)
2022-11-23T01:19:09.0940275Z 
2022-11-23T01:19:09.0940478Z Generating XML reports...
2022-11-23T01:19:09.0941554Z Generated XML report: test-reports/python-unittest/dynamo.test_export_mutations/TEST-MutationExportTests-20221123011908.xml
2022-11-23T01:19:09.0942193Z 
2022-11-23T01:19:09.0942707Z ##[endgroup]
2022-11-23T01:19:09.0943767Z FINISHED PRINTING LOG FILE of dynamo/test_export_mutations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_mutations_h0ucjjmv)
2022-11-23T01:19:09.0944368Z 
2022-11-23T01:19:11.1317543Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:11.2075531Z Ignoring disabled issues:  []
2022-11-23T01:19:11.2216910Z Running dynamo/test_functions ... [2022-11-23 01:19:11.221358]
2022-11-23T01:19:11.2218642Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_functions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:11.221636]
2022-11-23T01:19:14.1917117Z 
2022-11-23T01:19:14.1917872Z Expand the folded group to see the log file of dynamo/test_functions
2022-11-23T01:19:14.1918846Z ##[group]PRINTING LOG FILE of dynamo/test_functions (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_functions_v1_i0vy0)
2022-11-23T01:19:14.1919223Z 
2022-11-23T01:19:14.1919336Z Running tests...
2022-11-23T01:19:14.1919759Z ----------------------------------------------------------------------
2022-11-23T01:19:14.1920151Z Test results will be stored in test-reports/python-unittest/dynamo.test_functions
2022-11-23T01:19:14.1920429Z   test_T (__main__.FunctionTests) ... ok (0.353s)
2022-11-23T01:19:14.1920837Z   test_add (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.1921231Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1921473Z ok (0.007s)
2022-11-23T01:19:14.1921775Z   test_build_list_unpack (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.1922263Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:14.1922539Z ok (0.014s)
2022-11-23T01:19:14.1923032Z   test_chunks1 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.1924680Z ok (0.009s)
2022-11-23T01:19:14.1925167Z   test_const_tuple_add1 (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:14.1925526Z ok (0.009s)
2022-11-23T01:19:14.1926022Z   test_const_tuple_add2 (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:14.1926365Z ok (0.009s)
2022-11-23T01:19:14.1926851Z   test_constant1 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.1927197Z ok (0.008s)
2022-11-23T01:19:14.1927871Z   test_constant2 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.1928198Z ok (0.009s)
2022-11-23T01:19:14.1928696Z   test_constant3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1929052Z ok (0.006s)
2022-11-23T01:19:14.1929533Z   test_constant4 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1929888Z ok (0.006s)
2022-11-23T01:19:14.1930386Z   test_default_dict (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.1930724Z ok (0.011s)
2022-11-23T01:19:14.1931199Z   test_del (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.1931642Z ok (0.007s)
2022-11-23T01:19:14.1932131Z   test_device (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1932461Z ok (0.005s)
2022-11-23T01:19:14.1932965Z   test_device_constant (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.1933307Z ok (0.007s)
2022-11-23T01:19:14.1933777Z   test_dict_copy (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1934111Z ok (0.006s)
2022-11-23T01:19:14.1934653Z   test_dict_ops (__main__.FunctionTests) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:14.1935019Z ok (0.015s)
2022-11-23T01:19:14.1935580Z   test_dict_param_keys (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1936132Z ok (0.007s)
2022-11-23T01:19:14.1936823Z   test_dtype (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1937234Z ok (0.006s)
2022-11-23T01:19:14.1937811Z   test_dtype_compare (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.1938234Z ok (0.008s)
2022-11-23T01:19:14.1938759Z   test_finfo (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1939171Z ok (0.007s)
2022-11-23T01:19:14.1939719Z   test_float (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1940079Z ok (0.006s)
2022-11-23T01:19:14.1940654Z   test_fn_with_self_set (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:14.1941096Z ok (0.010s)
2022-11-23T01:19:14.1941655Z   test_fstrings1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1942021Z ok (0.006s)
2022-11-23T01:19:14.1942584Z   test_fstrings2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1943017Z ok (0.007s)
2022-11-23T01:19:14.1943546Z   test_fstrings3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1943947Z ok (0.006s)
2022-11-23T01:19:14.1944304Z   test_funcdef_closure (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.1944778Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:19:14.1945164Z ok (0.015s)
2022-11-23T01:19:14.1945705Z   test_globalfn (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1946113Z ok (0.006s)
2022-11-23T01:19:14.1946618Z   test_globalmodule (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1947026Z ok (0.010s)
2022-11-23T01:19:14.1947693Z   test_globalvar (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.1948059Z ok (0.007s)
2022-11-23T01:19:14.1948602Z   test_import1 (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.1948999Z ok (0.008s)
2022-11-23T01:19:14.1949499Z   test_indirect1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1949931Z ok (0.006s)
2022-11-23T01:19:14.1950478Z   test_indirect2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1950873Z ok (0.006s)
2022-11-23T01:19:14.1951367Z   test_indirect3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1951866Z ok (0.006s)
2022-11-23T01:19:14.1952226Z   test_inline_jit_annotations (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.1952723Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.1953076Z ok (0.009s)
2022-11-23T01:19:14.1953716Z   test_inline_softmax (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.1954099Z ok (0.011s)
2022-11-23T01:19:14.1954456Z   test_inline_with_default (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.1954981Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.1955343Z ok (0.008s)
2022-11-23T01:19:14.1955665Z   test_inner_function (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.1956201Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.1956554Z ok (0.006s)
2022-11-23T01:19:14.2003788Z   test_is_contiguous_memory_format (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2004187Z ok (0.006s)
2022-11-23T01:19:14.2004672Z   test_is_fx_tracing (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2005021Z ok (0.006s)
2022-11-23T01:19:14.2005534Z   test_is_in_onnx_export (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2005865Z ok (0.006s)
2022-11-23T01:19:14.2006345Z   test_is_not_null (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2006671Z ok (0.006s)
2022-11-23T01:19:14.2007135Z   test_is_quantized (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2007466Z ok (0.005s)
2022-11-23T01:19:14.2007946Z   test_is_sparse (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2008296Z ok (0.005s)
2022-11-23T01:19:14.2008772Z   test_islice_chain (__main__.FunctionTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:14.2009119Z ok (0.013s)
2022-11-23T01:19:14.2009600Z   test_jit_annotate (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.2009925Z ok (0.007s)
2022-11-23T01:19:14.2010423Z   test_len_constant_dict (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2010771Z ok (0.009s)
2022-11-23T01:19:14.2011257Z   test_len_constant_list (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2011587Z ok (0.007s)
2022-11-23T01:19:14.2012090Z   test_len_constant_misc_iterables (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2012432Z ok (0.007s)
2022-11-23T01:19:14.2013065Z   test_len_tensor (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2013392Z ok (0.006s)
2022-11-23T01:19:14.2013855Z   test_list_add (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2014183Z ok (0.006s)
2022-11-23T01:19:14.2014650Z   test_list_clear (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2014992Z ok (0.009s)
2022-11-23T01:19:14.2015480Z   test_list_convert (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:14.2015809Z ok (0.009s)
2022-11-23T01:19:14.2016294Z   test_list_reversed (__main__.FunctionTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:14.2016871Z ok (0.011s)
2022-11-23T01:19:14.2017363Z   test_list_slice_assignment (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2017707Z ok (0.007s)
2022-11-23T01:19:14.2018170Z   test_list_truth (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2018491Z ok (0.007s)
2022-11-23T01:19:14.2018952Z   test_listarg1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2019281Z ok (0.007s)
2022-11-23T01:19:14.2019752Z   test_listarg2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2020064Z ok (0.007s)
2022-11-23T01:19:14.2020526Z   test_listarg3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2020844Z ok (0.006s)
2022-11-23T01:19:14.2021304Z   test_listarg4 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2021545Z ok (0.007s)
2022-11-23T01:19:14.2021892Z   test_listarg5 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2022132Z ok (0.009s)
2022-11-23T01:19:14.2022482Z   test_load_global_bool (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2022730Z ok (0.007s)
2022-11-23T01:19:14.2022926Z   test_map_sum (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.2023247Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:14.2023458Z ok (0.014s)
2022-11-23T01:19:14.2023657Z   test_methodcall1 (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.2023979Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2024193Z ok (0.008s)
2022-11-23T01:19:14.2024395Z   test_methodcall2 (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.2024721Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2024921Z ok (0.008s)
2022-11-23T01:19:14.2025122Z   test_methodcall3 (__main__.FunctionTests) ... inline_call []
2022-11-23T01:19:14.2025448Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2025647Z ok (0.008s)
2022-11-23T01:19:14.2025993Z   test_min_max (__main__.FunctionTests) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:19:14.2026239Z ok (0.019s)
2022-11-23T01:19:14.2026595Z   test_module_constant (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:14.2026846Z ok (0.010s)
2022-11-23T01:19:14.2027183Z   test_ndim (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2027426Z ok (0.006s)
2022-11-23T01:19:14.2027812Z   test_pop (__main__.FunctionTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:14.2028068Z ok (0.010s)
2022-11-23T01:19:14.2028420Z   test_reduce (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2028660Z ok (0.009s)
2022-11-23T01:19:14.2029024Z   test_return_dict (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2029283Z ok (0.007s)
2022-11-23T01:19:14.2029640Z   test_return_dict2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2029903Z ok (0.007s)
2022-11-23T01:19:14.2030270Z   test_return_tuple1 (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.2030571Z ok (0.007s)
2022-11-23T01:19:14.2030927Z   test_return_tuple2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2031184Z ok (0.006s)
2022-11-23T01:19:14.2031545Z   test_shape1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2031789Z ok (0.006s)
2022-11-23T01:19:14.2032142Z   test_shape2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2032387Z ok (0.005s)
2022-11-23T01:19:14.2032726Z   test_slice1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2032983Z ok (0.006s)
2022-11-23T01:19:14.2033411Z   test_slice2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2033677Z ok (0.005s)
2022-11-23T01:19:14.2034020Z   test_slice3 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2034281Z ok (0.005s)
2022-11-23T01:19:14.2034636Z   test_slice4 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2034880Z ok (0.005s)
2022-11-23T01:19:14.2035224Z   test_slice5 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2035470Z ok (0.005s)
2022-11-23T01:19:14.2035822Z   test_slice6 (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.2036060Z ok (0.007s)
2022-11-23T01:19:14.2036419Z   test_startswith (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2036680Z ok (0.007s)
2022-11-23T01:19:14.2037025Z   test_tensor_len (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2037279Z ok (0.007s)
2022-11-23T01:19:14.2037661Z   test_tensor_new_with_shape (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.2037920Z ok (0.008s)
2022-11-23T01:19:14.2038294Z   test_tensor_new_with_size (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.2038550Z ok (0.008s)
2022-11-23T01:19:14.2038921Z   test_transpose_for_scores (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.2039173Z ok (0.008s)
2022-11-23T01:19:14.2039512Z   test_tuple1 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2039762Z ok (0.006s)
2022-11-23T01:19:14.2040103Z   test_tuple2 (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2040359Z ok (0.006s)
2022-11-23T01:19:14.2040722Z   test_tuple_contains (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2041018Z ok (0.006s)
2022-11-23T01:19:14.2041359Z   test_tuple_iadd (__main__.FunctionTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:14.2041616Z ok (0.007s)
2022-11-23T01:19:14.2041971Z   test_unpack1 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2042215Z ok (0.007s)
2022-11-23T01:19:14.2042568Z   test_unpack2 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2042825Z ok (0.007s)
2022-11-23T01:19:14.2043166Z   test_unpack3 (__main__.FunctionTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:14.2043422Z ok (0.007s)
2022-11-23T01:19:14.2043807Z   test_unpack_ex1 (__main__.FunctionTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:14.2044061Z ok (0.009s)
2022-11-23T01:19:14.2044403Z   test_unpack_ex2 (__main__.FunctionTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:14.2044654Z ok (0.009s)
2022-11-23T01:19:14.2045006Z   test_unpack_ex3 (__main__.FunctionTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:14.2045248Z ok (0.009s)
2022-11-23T01:19:14.2045607Z   test_viamethod (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2045860Z ok (0.006s)
2022-11-23T01:19:14.2046206Z   test_viatorch (__main__.FunctionTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:14.2046461Z ok (0.006s)
2022-11-23T01:19:14.2046555Z 
2022-11-23T01:19:14.2046753Z ----------------------------------------------------------------------
2022-11-23T01:19:14.2046999Z Ran 99 tests in 1.108s
2022-11-23T01:19:14.2047099Z 
2022-11-23T01:19:14.2047159Z OK
2022-11-23T01:19:14.2047246Z 
2022-11-23T01:19:14.2047334Z Generating XML reports...
2022-11-23T01:19:14.2047746Z Generated XML report: test-reports/python-unittest/dynamo.test_functions/TEST-FunctionTests-20221123011912.xml
2022-11-23T01:19:14.2047981Z 
2022-11-23T01:19:14.2048299Z ##[endgroup]
2022-11-23T01:19:14.2048699Z FINISHED PRINTING LOG FILE of dynamo/test_functions (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_functions_v1_i0vy0)
2022-11-23T01:19:14.2048927Z 
2022-11-23T01:19:16.1760624Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:16.2569050Z Ignoring disabled issues:  []
2022-11-23T01:19:16.2714719Z Running dynamo/test_global ... [2022-11-23 01:19:16.271116]
2022-11-23T01:19:16.2716561Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:16.271437]
2022-11-23T01:19:18.5082854Z 
2022-11-23T01:19:18.5083540Z Expand the folded group to see the log file of dynamo/test_global
2022-11-23T01:19:18.5084786Z ##[group]PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_78q0kgq8)
2022-11-23T01:19:18.5085350Z 
2022-11-23T01:19:18.5085570Z Running tests...
2022-11-23T01:19:18.5086383Z ----------------------------------------------------------------------
2022-11-23T01:19:18.5087290Z Test results will be stored in test-reports/python-unittest/dynamo.test_global
2022-11-23T01:19:18.5088001Z   test_store_global_1 (__main__.TestGlobals) ... ok (0.334s)
2022-11-23T01:19:18.5088815Z   test_store_global_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5089630Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:18.5090284Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:18.5091003Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:18.5091529Z ok (0.010s)
2022-11-23T01:19:18.5092516Z   test_store_global_cross_file (__main__.TestGlobals) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:18.5093092Z unimplemented []
2022-11-23T01:19:18.5094087Z graph_break [('call_function BuiltinVariable(setattr) [PythonModuleVariable(), ConstantVariable(str), TensorVariable()] {}', 1)]
2022-11-23T01:19:18.5095117Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:18.5095670Z ok (0.008s)
2022-11-23T01:19:18.5096380Z   test_store_global_dict (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5097335Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:18.5097844Z ok (0.005s)
2022-11-23T01:19:18.5098547Z   test_store_global_dict_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5099065Z inline_call []
2022-11-23T01:19:18.5099919Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:18.5100458Z ok (0.007s)
2022-11-23T01:19:18.5101197Z   test_store_global_inline_1 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5101714Z inline_call []
2022-11-23T01:19:18.5102410Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:18.5102928Z ok (0.010s)
2022-11-23T01:19:18.5103628Z   test_store_global_inline_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5104177Z inline_call []
2022-11-23T01:19:18.5104868Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:18.5105395Z ok (0.011s)
2022-11-23T01:19:18.5106100Z   test_store_global_list (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5106938Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:18.5107469Z ok (0.006s)
2022-11-23T01:19:18.5108200Z   test_store_global_list_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5108726Z inline_call []
2022-11-23T01:19:18.5109357Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:18.5109903Z ok (0.007s)
2022-11-23T01:19:18.5110609Z   test_store_global_new (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5111458Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:18.5111972Z ok (0.005s)
2022-11-23T01:19:18.5112694Z   test_store_global_object (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:18.5113649Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:18.5114169Z ok (0.006s)
2022-11-23T01:19:18.5114411Z 
2022-11-23T01:19:18.5114881Z ----------------------------------------------------------------------
2022-11-23T01:19:18.5115461Z Ran 11 tests in 0.409s
2022-11-23T01:19:18.5115720Z 
2022-11-23T01:19:18.5115860Z OK
2022-11-23T01:19:18.5116071Z 
2022-11-23T01:19:18.5116268Z Generating XML reports...
2022-11-23T01:19:18.5117243Z Generated XML report: test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20221123011917.xml
2022-11-23T01:19:18.5117781Z 
2022-11-23T01:19:18.5118326Z ##[endgroup]
2022-11-23T01:19:18.5119255Z FINISHED PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_78q0kgq8)
2022-11-23T01:19:18.5119794Z 
2022-11-23T01:19:20.4111991Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:20.4870844Z Ignoring disabled issues:  []
2022-11-23T01:19:20.5013248Z Running dynamo/test_global_declaration ... [2022-11-23 01:19:20.501027]
2022-11-23T01:19:20.5015167Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global_declaration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:20.501301]
2022-11-23T01:19:21.8943597Z 
2022-11-23T01:19:21.8944233Z Expand the folded group to see the log file of dynamo/test_global_declaration
2022-11-23T01:19:21.8945342Z ##[group]PRINTING LOG FILE of dynamo/test_global_declaration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_declaration_50yyk4b3)
2022-11-23T01:19:21.8945595Z 
2022-11-23T01:19:21.8947158Z ##[endgroup]
2022-11-23T01:19:21.8947815Z FINISHED PRINTING LOG FILE of dynamo/test_global_declaration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_declaration_50yyk4b3)
2022-11-23T01:19:21.8948088Z 
2022-11-23T01:19:21.9202575Z 
2022-11-23T01:19:21.9203848Z Expand the folded group to see the log file of dynamo/test_dynamic_shapes
2022-11-23T01:19:21.9205368Z ##[group]PRINTING LOG FILE of dynamo/test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_dynamic_shapes_okue3evn)
2022-11-23T01:19:21.9207003Z 
2022-11-23T01:19:21.9207142Z Running tests...
2022-11-23T01:19:21.9208379Z ----------------------------------------------------------------------
2022-11-23T01:19:21.9210585Z Test results will be stored in test-reports/python-unittest/dynamo.test_dynamic_shapes
2022-11-23T01:19:21.9211760Z   test_dict_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.322s)
2022-11-23T01:19:21.9213729Z   test_dict_return_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9214534Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9214924Z ok (0.027s)
2022-11-23T01:19:21.9215758Z   test_dupes_2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9216299Z ok (0.013s)
2022-11-23T01:19:21.9217319Z   test_dupes_2_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9217946Z ok (0.015s)
2022-11-23T01:19:21.9218822Z   test_dupes_and_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9219419Z ok (0.015s)
2022-11-23T01:19:21.9220319Z   test_dupes_and_bypass_reorder_with_non_tensor_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9220959Z ok (0.102s)
2022-11-23T01:19:21.9221950Z   test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9222634Z ok (0.018s)
2022-11-23T01:19:21.9223554Z   test_dupes_and_bypass_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9224125Z ok (0.019s)
2022-11-23T01:19:21.9225012Z   test_dupes_and_bypass_with_non_tensor_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9225640Z ok (0.016s)
2022-11-23T01:19:21.9226578Z   test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9227196Z ok (0.018s)
2022-11-23T01:19:21.9228082Z   test_dupes_and_bypass_with_non_tensor_output_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9228733Z ok (0.022s)
2022-11-23T01:19:21.9229839Z   test_dupes_and_bypass_with_non_tensor_output_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9230521Z ok (0.019s)
2022-11-23T01:19:21.9231404Z   test_dupes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9232007Z ok (0.012s)
2022-11-23T01:19:21.9232906Z   test_dupes_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9233482Z ok (0.015s)
2022-11-23T01:19:21.9234011Z   test_export_compare_optimize_with_make_fx_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:21.9234438Z ok (0.061s)
2022-11-23T01:19:21.9234742Z   test_export_decomp_asserts_bad_args_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:21.9235201Z   test_export_decomp_asserts_bad_args_mode_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:21.9235828Z   test_export_decomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9236168Z ok (0.027s)
2022-11-23T01:19:21.9236448Z   test_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9236869Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)]
2022-11-23T01:19:21.9237103Z ok (0.113s)
2022-11-23T01:19:21.9237588Z   test_export_graph_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9237929Z ok (0.021s)
2022-11-23T01:19:21.9238444Z   test_export_graph_bypass_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9238794Z ok (0.022s)
2022-11-23T01:19:21.9239293Z   test_export_graph_with_complex_reorder_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9239643Z ok (0.027s)
2022-11-23T01:19:21.9240180Z   test_export_graph_with_complex_reorder_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9240552Z ok (0.031s)
2022-11-23T01:19:21.9241034Z   test_export_graph_with_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9241377Z ok (0.040s)
2022-11-23T01:19:21.9241900Z   test_export_graph_with_list_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9242255Z ok (0.047s)
2022-11-23T01:19:21.9242723Z   test_export_meta_val_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9243057Z ok (0.051s)
2022-11-23T01:19:21.9243589Z   test_export_mismatched_out_2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9243919Z ok (0.018s)
2022-11-23T01:19:21.9244436Z   test_export_mismatched_out_2_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9244789Z ok (0.019s)
2022-11-23T01:19:21.9245282Z   test_export_mismatched_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9245609Z ok (0.016s)
2022-11-23T01:19:21.9246125Z   test_export_mismatched_out_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9246543Z ok (0.018s)
2022-11-23T01:19:21.9246985Z   test_export_shape_control_flow_1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9247417Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:21.9247650Z ok (0.025s)
2022-11-23T01:19:21.9247957Z   test_export_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9248370Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)]
2022-11-23T01:19:21.9248602Z ok (0.144s)
2022-11-23T01:19:21.9249112Z   test_export_with_constant_dict_values_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9249459Z ok (0.018s)
2022-11-23T01:19:21.9249988Z   test_export_with_constant_free_function_and_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9250354Z ok (0.027s)
2022-11-23T01:19:21.9250914Z   test_export_with_constant_free_function_and_class_method_multiarg_diff_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9251293Z ok (0.015s)
2022-11-23T01:19:21.9251825Z   test_export_with_constant_free_function_and_class_method_multiarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9252196Z ok (0.032s)
2022-11-23T01:19:21.9252707Z   test_export_with_constant_free_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9253057Z ok (0.028s)
2022-11-23T01:19:21.9253566Z   test_export_with_constant_list_nonzero_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9253947Z expected failure (0.010s)
2022-11-23T01:19:21.9254516Z   test_export_with_constant_list_nonzero_free_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9254906Z expected failure (0.009s)
2022-11-23T01:19:21.9255429Z   test_export_with_constant_method_on_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9255783Z ok (0.022s)
2022-11-23T01:19:21.9256352Z   test_export_with_constant_method_on_module_invoke_twice_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9256905Z ok (0.027s)
2022-11-23T01:19:21.9257418Z   test_export_with_constant_none_control_flow_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9257771Z ok (0.008s)
2022-11-23T01:19:21.9258302Z   test_export_with_constant_none_control_flow_free_func_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9258651Z ok (0.006s)
2022-11-23T01:19:21.9259173Z   test_export_with_constant_not_none_control_flow_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9259594Z ok (0.010s)
2022-11-23T01:19:21.9260136Z   test_export_with_constant_not_none_control_flow_free_func_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9260489Z ok (0.010s)
2022-11-23T01:19:21.9261020Z   test_export_with_constant_not_none_control_flow_pos_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9261379Z ok (0.009s)
2022-11-23T01:19:21.9261895Z   test_export_with_constant_not_return_const_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9262236Z ok (0.006s)
2022-11-23T01:19:21.9262765Z   test_export_with_constant_tuple_nonzero_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9263146Z expected failure (0.009s)
2022-11-23T01:19:21.9263659Z   test_export_with_module_layer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:19:21.9263993Z ok (0.019s)
2022-11-23T01:19:21.9264488Z   test_export_with_stack_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:21.9264829Z ok (0.044s)
2022-11-23T01:19:21.9265125Z   test_func_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9265531Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9265762Z ok (0.027s)
2022-11-23T01:19:21.9266074Z   test_func_return_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9266490Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9266714Z ok (0.032s)
2022-11-23T01:19:21.9267190Z   test_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9267520Z ok (0.021s)
2022-11-23T01:19:21.9268004Z   test_list_unpack_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9268349Z ok (0.024s)
2022-11-23T01:19:21.9268926Z   test_zeroes_in_and_out_different_shape_on_test_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9269273Z ok (0.023s)
2022-11-23T01:19:21.9269814Z   test_zeroes_in_and_out_different_shape_on_test_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9270180Z ok (0.028s)
2022-11-23T01:19:21.9270694Z   test_zeroes_in_new_shape_scalar_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 16), ('fusions_possible', 14), ('unique_graphs', 2)]
2022-11-23T01:19:21.9271027Z ok (0.030s)
2022-11-23T01:19:21.9271575Z   test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)]
2022-11-23T01:19:21.9271992Z ok (0.037s)
2022-11-23T01:19:21.9272513Z   test_zeroes_in_new_shape_scalar_out_permute_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)]
2022-11-23T01:19:21.9272852Z ok (0.035s)
2022-11-23T01:19:21.9273391Z   test_T_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9273716Z ok (0.020s)
2022-11-23T01:19:21.9274183Z   test_add_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9274493Z ok (0.011s)
2022-11-23T01:19:21.9274797Z   test_build_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9275228Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9275445Z ok (0.026s)
2022-11-23T01:19:21.9275762Z   test_chunks1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9276380Z   test_const_tuple_add1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9276715Z ok (0.016s)
2022-11-23T01:19:21.9277179Z   test_const_tuple_add2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9277514Z ok (0.016s)
2022-11-23T01:19:21.9277992Z   test_constant1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9278321Z ok (0.017s)
2022-11-23T01:19:21.9278780Z   test_constant2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9279102Z ok (0.017s)
2022-11-23T01:19:21.9279570Z   test_constant3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9279880Z ok (0.009s)
2022-11-23T01:19:21.9280348Z   test_constant4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9280673Z ok (0.011s)
2022-11-23T01:19:21.9281155Z   test_default_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9281472Z ok (0.019s)
2022-11-23T01:19:21.9281976Z   test_del_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9282302Z ok (0.015s)
2022-11-23T01:19:21.9282778Z   test_device_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9283098Z ok (0.012s)
2022-11-23T01:19:21.9283566Z   test_device_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9283890Z ok (0.009s)
2022-11-23T01:19:21.9284353Z   test_dict_copy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9284713Z ok (0.009s)
2022-11-23T01:19:21.9285188Z   test_dict_ops_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:21.9285517Z ok (0.029s)
2022-11-23T01:19:21.9285984Z   test_dict_param_keys_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9286315Z ok (0.010s)
2022-11-23T01:19:21.9286797Z   test_dtype_compare_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9287130Z ok (0.015s)
2022-11-23T01:19:21.9287580Z   test_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9287909Z ok (0.009s)
2022-11-23T01:19:21.9288375Z   test_finfo_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9288698Z ok (0.012s)
2022-11-23T01:19:21.9289149Z   test_float_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9289471Z ok (0.009s)
2022-11-23T01:19:21.9289956Z   test_fn_with_self_set_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9290278Z ok (0.098s)
2022-11-23T01:19:21.9290750Z   test_fstrings1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9291080Z ok (0.013s)
2022-11-23T01:19:21.9291396Z   test_fstrings2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9291998Z   test_fstrings3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9292325Z ok (0.010s)
2022-11-23T01:19:21.9292630Z   test_funcdef_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9293053Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:19:21.9293270Z ok (0.032s)
2022-11-23T01:19:21.9293745Z   test_globalfn_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9294074Z ok (0.011s)
2022-11-23T01:19:21.9294576Z   test_globalmodule_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9294912Z ok (0.021s)
2022-11-23T01:19:21.9295380Z   test_globalvar_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9295705Z ok (0.016s)
2022-11-23T01:19:21.9296157Z   test_import1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9296591Z ok (0.014s)
2022-11-23T01:19:21.9297067Z   test_indirect1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9297428Z ok (0.011s)
2022-11-23T01:19:21.9297899Z   test_indirect2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9298224Z ok (0.012s)
2022-11-23T01:19:21.9298691Z   test_indirect3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9299000Z ok (0.011s)
2022-11-23T01:19:21.9299309Z   test_inline_jit_annotations_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9299735Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9299968Z ok (0.015s)
2022-11-23T01:19:21.9300440Z   test_inline_softmax_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9300777Z ok (0.029s)
2022-11-23T01:19:21.9301081Z   test_inline_with_default_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9301487Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9301715Z ok (0.017s)
2022-11-23T01:19:21.9302015Z   test_inner_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9302430Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9302643Z ok (0.011s)
2022-11-23T01:19:21.9302981Z   test_is_contiguous_memory_format_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9303622Z   test_is_fx_tracing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9303940Z ok (0.135s)
2022-11-23T01:19:21.9304419Z   test_is_in_onnx_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9304749Z ok (0.011s)
2022-11-23T01:19:21.9305837Z   test_is_not_null_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9306147Z ok (0.012s)
2022-11-23T01:19:21.9306624Z   test_is_quantized_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9306958Z ok (0.012s)
2022-11-23T01:19:21.9307503Z   test_is_sparse_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9307821Z ok (0.009s)
2022-11-23T01:19:21.9308306Z   test_islice_chain_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9308636Z ok (0.025s)
2022-11-23T01:19:21.9309116Z   test_jit_annotate_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9309428Z ok (0.012s)
2022-11-23T01:19:21.9309913Z   test_len_constant_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9310291Z ok (0.009s)
2022-11-23T01:19:21.9310756Z   test_len_constant_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9311091Z ok (0.009s)
2022-11-23T01:19:21.9311590Z   test_len_constant_misc_iterables_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9311934Z ok (0.009s)
2022-11-23T01:19:21.9312230Z   test_len_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... expected failure (0.005s)
2022-11-23T01:19:21.9312833Z   test_list_add_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9313163Z ok (0.011s)
2022-11-23T01:19:21.9313721Z   test_list_clear_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9314042Z ok (0.016s)
2022-11-23T01:19:21.9314522Z   test_list_convert_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9314855Z ok (0.018s)
2022-11-23T01:19:21.9315336Z   test_list_reversed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9315655Z ok (0.021s)
2022-11-23T01:19:21.9316145Z   test_list_slice_assignment_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9316487Z ok (0.010s)
2022-11-23T01:19:21.9316950Z   test_list_truth_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9317285Z ok (0.011s)
2022-11-23T01:19:21.9317756Z   test_listarg1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9318082Z ok (0.018s)
2022-11-23T01:19:21.9318539Z   test_listarg2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9318864Z ok (0.012s)
2022-11-23T01:19:21.9319329Z   test_listarg3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9319652Z ok (0.012s)
2022-11-23T01:19:21.9320147Z   test_listarg4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9320474Z ok (0.012s)
2022-11-23T01:19:21.9320939Z   test_listarg5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9321244Z ok (0.012s)
2022-11-23T01:19:21.9321725Z   test_load_global_bool_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9322055Z ok (0.009s)
2022-11-23T01:19:21.9322343Z   test_map_sum_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9322773Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:21.9322999Z ok (0.032s)
2022-11-23T01:19:21.9323297Z   test_methodcall1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9323698Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9323922Z ok (0.018s)
2022-11-23T01:19:21.9324216Z   test_methodcall2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9324626Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9324835Z ok (0.016s)
2022-11-23T01:19:21.9325130Z   test_methodcall3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9325544Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9325756Z ok (0.016s)
2022-11-23T01:19:21.9326229Z   test_min_max_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:19:21.9326558Z ok (0.025s)
2022-11-23T01:19:21.9327045Z   test_module_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9327367Z ok (0.020s)
2022-11-23T01:19:21.9327829Z   test_ndim_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9328153Z ok (0.010s)
2022-11-23T01:19:21.9328601Z   test_pop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9328926Z ok (0.019s)
2022-11-23T01:19:21.9329396Z   test_reduce_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9329725Z ok (0.020s)
2022-11-23T01:19:21.9330183Z   test_return_dict2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9330509Z ok (0.012s)
2022-11-23T01:19:21.9330981Z   test_return_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9331307Z ok (0.012s)
2022-11-23T01:19:21.9331768Z   test_return_tuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9332102Z ok (0.013s)
2022-11-23T01:19:21.9332609Z   test_return_tuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9332944Z ok (0.009s)
2022-11-23T01:19:21.9333249Z   test_shape1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9333696Z   test_shape2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9334306Z   test_slice1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9334615Z ok (0.032s)
2022-11-23T01:19:21.9335083Z   test_slice2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9335444Z ok (0.021s)
2022-11-23T01:19:21.9335998Z   test_slice3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9336308Z ok (0.051s)
2022-11-23T01:19:21.9336874Z   test_slice4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9337202Z ok (0.014s)
2022-11-23T01:19:21.9337667Z   test_slice5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9337975Z ok (0.044s)
2022-11-23T01:19:21.9338442Z   test_slice6_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9338771Z ok (0.056s)
2022-11-23T01:19:21.9339234Z   test_startswith_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9339566Z ok (0.015s)
2022-11-23T01:19:21.9339877Z   test_tensor_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... expected failure (0.010s)
2022-11-23T01:19:21.9340341Z   test_tensor_new_with_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9340800Z   test_tensor_new_with_size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9341440Z   test_transpose_for_scores_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9341775Z ok (0.033s)
2022-11-23T01:19:21.9342249Z   test_tuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9342558Z ok (0.011s)
2022-11-23T01:19:21.9343020Z   test_tuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9343341Z ok (0.011s)
2022-11-23T01:19:21.9343823Z   test_tuple_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9344141Z ok (0.011s)
2022-11-23T01:19:21.9344612Z   test_tuple_iadd_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9344942Z ok (0.014s)
2022-11-23T01:19:21.9345457Z   test_unpack1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9345785Z ok (0.022s)
2022-11-23T01:19:21.9346255Z   test_unpack2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9346638Z ok (0.020s)
2022-11-23T01:19:21.9347093Z   test_unpack3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9347492Z ok (0.020s)
2022-11-23T01:19:21.9347970Z   test_unpack_ex1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9348349Z ok (0.018s)
2022-11-23T01:19:21.9348805Z   test_unpack_ex2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9349132Z ok (0.018s)
2022-11-23T01:19:21.9349601Z   test_unpack_ex3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9349921Z ok (0.018s)
2022-11-23T01:19:21.9350380Z   test_viamethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9350710Z ok (0.011s)
2022-11-23T01:19:21.9351182Z   test_viatorch_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9351503Z ok (0.011s)
2022-11-23T01:19:21.9351921Z   test_allow_in_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9352351Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9352576Z ok (0.014s)
2022-11-23T01:19:21.9353040Z   test_autocast_cpu_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:21.9353438Z ok (0.016s)
2022-11-23T01:19:21.9353757Z   test_autocast_device_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:21.9354192Z   test_autocast_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:21.9354643Z   test_autocast_float64_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:21.9355099Z   test_autograd_function_equivalence_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9355537Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9355752Z ok (0.011s)
2022-11-23T01:19:21.9356299Z   test_autograd_profiler_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:19:03 1583:1583 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:21.9356858Z STAGE:2022-11-23 01:19:03 1583:1583 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:21.9357320Z STAGE:2022-11-23 01:19:03 1583:1583 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:21.9357765Z [2022-11-23 01:19:03,251] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:21.9358065Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9358255Z unimplemented []
2022-11-23T01:19:21.9358481Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:21.9358803Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9359030Z ok (0.030s)
2022-11-23T01:19:21.9359572Z   test_autograd_profiler_enabled_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:19:03 1583:1583 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:21.9360113Z STAGE:2022-11-23 01:19:03 1583:1583 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:21.9360557Z STAGE:2022-11-23 01:19:03 1583:1583 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:21.9360904Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9361081Z unimplemented []
2022-11-23T01:19:21.9361388Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)]
2022-11-23T01:19:21.9361758Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9361987Z ok (0.021s)
2022-11-23T01:19:21.9362444Z   test_boolarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:21.9362770Z ok (0.026s)
2022-11-23T01:19:21.9363075Z   test_build_tuple_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9363482Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9363708Z ok (0.030s)
2022-11-23T01:19:21.9364196Z   test_builtin_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9364537Z ok (0.009s)
2022-11-23T01:19:21.9364848Z   test_builtin_subclasses_as_method_on_class_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:21.9365307Z   test_builtin_subclasses_as_method_on_var_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:19:21.9365919Z   test_callpacked_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9366252Z ok (0.027s)
2022-11-23T01:19:21.9366650Z   test_cell_output1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9367081Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9367306Z ok (0.008s)
2022-11-23T01:19:21.9367707Z   test_cell_output2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9368006Z unimplemented []
2022-11-23T01:19:21.9368393Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9368808Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9369020Z ok (0.013s)
2022-11-23T01:19:21.9369504Z   test_change_backends_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:21.9369894Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9370061Z ok (0.027s)
2022-11-23T01:19:21.9370459Z   test_cond_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:21.9370755Z unimplemented []
2022-11-23T01:19:21.9371064Z graph_break [('Fake tensor mode not yet supported for cond', 2)]
2022-11-23T01:19:21.9371416Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9371640Z ok (0.021s)
2022-11-23T01:19:21.9372119Z   test_cond_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:19:21.9372438Z ok (0.024s)
2022-11-23T01:19:21.9372936Z   test_cond_export_single_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)]
2022-11-23T01:19:21.9373280Z ok (0.013s)
2022-11-23T01:19:21.9373682Z   test_cond_nested_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 11), ('ok', 11)]
2022-11-23T01:19:21.9374023Z unimplemented []
2022-11-23T01:19:21.9374318Z graph_break [('Fake tensor mode not yet supported for cond', 6)]
2022-11-23T01:19:21.9374672Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:19:21.9374885Z ok (0.054s)
2022-11-23T01:19:21.9375321Z   test_cond_nested_fake_tensor_off_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9375760Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:19:21.9375974Z ok (0.023s)
2022-11-23T01:19:21.9376407Z   test_config_getattr_default_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9376958Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)]
2022-11-23T01:19:21.9377190Z ok (0.050s)
2022-11-23T01:19:21.9377600Z   test_config_log_level_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9378036Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9378264Z ok (0.010s)
2022-11-23T01:19:21.9378668Z   test_config_obj_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9379087Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:19:21.9379309Z ok (0.030s)
2022-11-23T01:19:21.9379620Z   test_const_dict_variable_python_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:21.9380394Z   test_cross_entropy_loss_fancy_ctor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T01:19:21.9380872Z   warnings.warn(warning.format(ret))
2022-11-23T01:19:21.9381069Z ok (0.002s)
2022-11-23T01:19:21.9381379Z   test_cross_entropy_loss_simple_ctor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:21.9381920Z   test_dataclass_fields_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9382221Z inline_call []
2022-11-23T01:19:21.9382522Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:21.9382735Z ok (0.045s)
2022-11-23T01:19:21.9383172Z   test_dict_mutation_side_effect_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9383606Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9383834Z ok (0.009s)
2022-11-23T01:19:21.9384335Z   test_dict_reconstruct_keeps_original_order_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 13), ('ok', 12)]
2022-11-23T01:19:21.9384880Z unimplemented [("Guard setup for uninitialized class <class 'torch.nn.modules.container.ModuleDict'>", 1)]
2022-11-23T01:19:21.9385828Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.10/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)]
2022-11-23T01:19:21.9386500Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:21.9386763Z ok (0.038s)
2022-11-23T01:19:21.9387172Z   test_dictcomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9387474Z inline_call []
2022-11-23T01:19:21.9387776Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9387990Z ok (0.011s)
2022-11-23T01:19:21.9388292Z   test_disable_optimize_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:21.9388839Z   test_disallow_in_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9389133Z unimplemented []
2022-11-23T01:19:21.9389511Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)]
2022-11-23T01:19:21.9389921Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9390137Z ok (0.017s)
2022-11-23T01:19:21.9390438Z   test_dunder_methods_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9390858Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9391081Z ok (0.033s)
2022-11-23T01:19:21.9391375Z   test_duplicate_graph_break_warning_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... break
2022-11-23T01:19:21.9391666Z break
2022-11-23T01:19:21.9391875Z frames [('total', 9), ('ok', 9)]
2022-11-23T01:19:21.9392200Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)]
2022-11-23T01:19:21.9392457Z unimplemented []
2022-11-23T01:19:21.9392784Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)]
2022-11-23T01:19:21.9393148Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)]
2022-11-23T01:19:21.9393443Z ok (0.053s)
2022-11-23T01:19:21.9393964Z   test_dynamo_min_operator_with_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9394313Z ok (0.009s)
2022-11-23T01:19:21.9394710Z   test_empty_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9395129Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9395354Z ok (0.018s)
2022-11-23T01:19:21.9395831Z   test_enum_no_graphbreaks_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:21.9396180Z ok (0.014s)
2022-11-23T01:19:21.9396611Z   test_error_on_nested_fx_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9397047Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9397257Z ok (0.009s)
2022-11-23T01:19:21.9397790Z   test_fold_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9398114Z ok (0.008s)
2022-11-23T01:19:21.9398622Z   test_frozenset_torch_func_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:21.9398957Z ok (0.013s)
2022-11-23T01:19:21.9399449Z   test_function_annotation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9399794Z ok (0.013s)
2022-11-23T01:19:21.9400250Z   test_generate_tensor_from_list_of_numpy_primitive_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9400626Z unimplemented []
2022-11-23T01:19:21.9400849Z graph_break [('numpy', 1)]
2022-11-23T01:19:21.9401161Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9401372Z ok (0.008s)
2022-11-23T01:19:21.9401768Z   test_grad_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9402062Z unimplemented []
2022-11-23T01:19:21.9402287Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:19:21.9402611Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9402836Z ok (0.026s)
2022-11-23T01:19:21.9403239Z   test_grad_mode_guard_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9403546Z unimplemented []
2022-11-23T01:19:21.9403783Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:21.9404106Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9404318Z ok (0.023s)
2022-11-23T01:19:21.9404733Z   test_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9405034Z unimplemented []
2022-11-23T01:19:21.9405390Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 2)]
2022-11-23T01:19:21.9405789Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:19:21.9406011Z ok (0.031s)
2022-11-23T01:19:21.9406474Z   test_id_of_nn_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:21.9406800Z ok (0.014s)
2022-11-23T01:19:21.9407280Z   test_if_cond_nn_mod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:21.9407609Z ok (0.017s)
2022-11-23T01:19:21.9408011Z   test_inference_mode_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9408440Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9408665Z ok (0.009s)
2022-11-23T01:19:21.9409091Z   test_inline_dict_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9409379Z inline_call []
2022-11-23T01:19:21.9409675Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9409895Z ok (0.008s)
2022-11-23T01:19:21.9410328Z   test_inline_func_jump_on_tensor_condition_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9410773Z inline_call [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:21.9410993Z unimplemented []
2022-11-23T01:19:21.9411245Z graph_break [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:21.9411581Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:21.9411811Z ok (0.018s)
2022-11-23T01:19:21.9412232Z   test_inline_list_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9412523Z inline_call []
2022-11-23T01:19:21.9412818Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9413042Z ok (0.006s)
2022-11-23T01:19:21.9413501Z   test_inplace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9413865Z ok (0.010s)
2022-11-23T01:19:21.9414358Z   test_inplace_param_update_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9414699Z ok (0.008s)
2022-11-23T01:19:21.9415170Z   test_is_floating_point2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9415504Z ok (0.014s)
2022-11-23T01:19:21.9415987Z   test_is_floating_point_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9416309Z ok (0.015s)
2022-11-23T01:19:21.9419494Z   test_is_tensor2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9419932Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9420162Z ok (0.015s)
2022-11-23T01:19:21.9420627Z   test_is_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9420959Z ok (0.014s)
2022-11-23T01:19:21.9421370Z   test_is_tensor_like2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9421734Z unimplemented []
2022-11-23T01:19:21.9422047Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)]
2022-11-23T01:19:21.9422423Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9422648Z ok (0.011s)
2022-11-23T01:19:21.9423115Z   test_is_tensor_like_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:21.9423449Z ok (0.011s)
2022-11-23T01:19:21.9423928Z   test_item_changes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9424256Z ok (0.015s)
2022-11-23T01:19:21.9424737Z   test_item_changes_new_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9425076Z ok (0.015s)
2022-11-23T01:19:21.9425536Z   test_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9425850Z ok (0.008s)
2022-11-23T01:19:21.9426149Z   test_large_reduction_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.012s)
2022-11-23T01:19:21.9426672Z   test_linetable_writer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:21.9427232Z   test_list_append_return_none_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9427658Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9427888Z ok (0.007s)
2022-11-23T01:19:21.9428298Z   test_list_mul_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9428590Z ok (0.002s)
2022-11-23T01:19:21.9428987Z   test_listcomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9429277Z inline_call []
2022-11-23T01:19:21.9429620Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9429833Z ok (0.014s)
2022-11-23T01:19:21.9430160Z   test_lnotab_writer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: use lnotab when python < 3.10 (0.000s)
2022-11-23T01:19:21.9430787Z   test_manual_seed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9431117Z ok (0.014s)
2022-11-23T01:19:21.9431569Z   test_matmul1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9431897Z ok (0.008s)
2022-11-23T01:19:21.9432195Z   test_module_complex_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.011s)
2022-11-23T01:19:21.9432725Z   test_module_deepcopy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 6), ('ok', 6)]
2022-11-23T01:19:21.9433031Z unimplemented []
2022-11-23T01:19:21.9433447Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 2)]
2022-11-23T01:19:21.9433693Z inline_call []
2022-11-23T01:19:21.9433985Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9434213Z ok (0.051s)
2022-11-23T01:19:21.9434516Z   test_named_parameters_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.023s)
2022-11-23T01:19:21.9435038Z   test_namedtuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9435470Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9435701Z ok (0.009s)
2022-11-23T01:19:21.9436119Z   test_namedtuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9436536Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9436765Z ok (0.011s)
2022-11-23T01:19:21.9437175Z   test_namedtuple3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9437584Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9437808Z ok (0.009s)
2022-11-23T01:19:21.9438206Z   test_nan_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9438618Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9438830Z ok (0.008s)
2022-11-23T01:19:21.9439131Z   test_nested_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9439551Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)]
2022-11-23T01:19:21.9439762Z ok (0.029s)
2022-11-23T01:19:21.9440118Z   test_nested_closure_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9440545Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)]
2022-11-23T01:19:21.9440758Z ok (0.020s)
2022-11-23T01:19:21.9441361Z   test_nested_disable_decorator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:19:04,508] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 
2022-11-23T01:19:21.9441768Z due to: 
2022-11-23T01:19:21.9441956Z Traceback (most recent call last):
2022-11-23T01:19:21.9442315Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented
2022-11-23T01:19:21.9442619Z     raise Unsupported(msg)
2022-11-23T01:19:21.9442975Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fd152b6fbe0>
2022-11-23T01:19:21.9443237Z 
2022-11-23T01:19:21.9443307Z from user code:
2022-11-23T01:19:21.9443538Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3
2022-11-23T01:19:21.9443772Z     return fn2(x)
2022-11-23T01:19:21.9444013Z   File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2
2022-11-23T01:19:21.9444242Z     x = fn1(x)  # graph break
2022-11-23T01:19:21.9444357Z 
2022-11-23T01:19:21.9444487Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:19:21.9444644Z 
2022-11-23T01:19:21.9444648Z 
2022-11-23T01:19:21.9444770Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9444959Z unimplemented []
2022-11-23T01:19:21.9445376Z graph_break [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fd152b6fbe0>', 1)]
2022-11-23T01:19:21.9445813Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9446292Z inline_call [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fd152b6fbe0>', 1)]
2022-11-23T01:19:21.9446578Z ok (0.028s)
2022-11-23T01:19:21.9446891Z   test_nested_optimize_decorator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9447325Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9447551Z ok (0.018s)
2022-11-23T01:19:21.9448022Z   test_nested_optimize_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:21.9448354Z ok (0.025s)
2022-11-23T01:19:21.9448845Z   test_nested_optimize_run_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:21.9449168Z ok (0.028s)
2022-11-23T01:19:21.9449480Z   test_nn_sequential_invocation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9449902Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9450123Z ok (0.034s)
2022-11-23T01:19:21.9450437Z   test_nn_sequential_invocation_reposition_indices_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9450876Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9451096Z ok (0.026s)
2022-11-23T01:19:21.9451511Z   test_no_error_on_nested_fx_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9451945Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9452202Z ok (0.010s)
2022-11-23T01:19:21.9452675Z   test_no_grad_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)]
2022-11-23T01:19:21.9452988Z ok (0.116s)
2022-11-23T01:19:21.9453459Z   test_numel_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9453781Z ok (0.014s)
2022-11-23T01:19:21.9454185Z   test_numpy_int_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9454612Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9454877Z ok (0.009s)
2022-11-23T01:19:21.9455316Z   test_numpy_variable_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9455743Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9455966Z ok (0.006s)
2022-11-23T01:19:21.9456268Z   test_object_classmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9456788Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9457002Z ok (0.006s)
2022-11-23T01:19:21.9457312Z   test_object_staticmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9457733Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9457947Z ok (0.006s)
2022-11-23T01:19:21.9458449Z   test_onnx_shape_as_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)]
2022-11-23T01:19:21.9458792Z ok (0.028s)
2022-11-23T01:19:21.9459282Z   test_optimize_on_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9459605Z ok (0.009s)
2022-11-23T01:19:21.9460071Z   test_pair_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:21.9460396Z ok (0.017s)
2022-11-23T01:19:21.9460796Z   test_python_slice_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9461219Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9461446Z ok (0.034s)
2022-11-23T01:19:21.9461862Z   test_raise_on_backend_error_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1)]
2022-11-23T01:19:21.9462241Z stats [('calls_captured', 3), ('fusions_possible', 2)]
2022-11-23T01:19:21.9462447Z ok (0.010s)
2022-11-23T01:19:21.9462849Z   test_raises_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9463131Z unimplemented []
2022-11-23T01:19:21.9463444Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9463807Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9464017Z ok (0.020s)
2022-11-23T01:19:21.9464321Z   test_rand_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:21.9464746Z   test_range_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9465215Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9465428Z ok (0.014s)
2022-11-23T01:19:21.9465866Z   test_recursive_inline_list_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9466186Z inline_call []
2022-11-23T01:19:21.9466475Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:21.9466705Z ok (0.016s)
2022-11-23T01:19:21.9467139Z   test_release_input_memory_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9467576Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9467797Z ok (0.006s)
2022-11-23T01:19:21.9468260Z   test_release_module_memory_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9468693Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9468906Z ok (0.014s)
2022-11-23T01:19:21.9469424Z   test_repro_graph_breaks_in__get_item_by_idx_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9469773Z ok (0.018s)
2022-11-23T01:19:21.9470204Z   test_return_nested_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9470622Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2022-11-23T01:19:21.9470843Z ok (0.024s)
2022-11-23T01:19:21.9471133Z   test_sample_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (1.145s)
2022-11-23T01:19:21.9471673Z   test_setattr_mutation1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9472172Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)]
2022-11-23T01:19:21.9472694Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) <class 'torch.Tensor'>", 1)]
2022-11-23T01:19:21.9473042Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9473440Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:19:21.9473675Z ok (0.031s)
2022-11-23T01:19:21.9474109Z   test_setattr_mutation2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9474418Z inline_call []
2022-11-23T01:19:21.9474707Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:21.9474941Z ok (0.023s)
2022-11-23T01:19:21.9475364Z   test_setattr_mutation3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9475655Z inline_call []
2022-11-23T01:19:21.9475952Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:21.9476178Z ok (0.024s)
2022-11-23T01:19:21.9476578Z   test_shape_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9477001Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9477225Z ok (0.009s)
2022-11-23T01:19:21.9477675Z   test_side_effects_codegen_update_mutated_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 6), ('ok', 6)]
2022-11-23T01:19:21.9477990Z unimplemented []
2022-11-23T01:19:21.9478219Z graph_break [('Tensor.item', 4)]
2022-11-23T01:19:21.9478535Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:19:21.9478790Z ok (0.053s)
2022-11-23T01:19:21.9479201Z   test_size_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9479622Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9479831Z ok (0.016s)
2022-11-23T01:19:21.9480308Z   test_slice_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:21.9480640Z ok (0.019s)
2022-11-23T01:19:21.9480969Z   test_tensor_build_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9481618Z   test_tensor_data_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9481955Z ok (0.010s)
2022-11-23T01:19:21.9482368Z   test_tensor_dict1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9482790Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9483001Z ok (0.008s)
2022-11-23T01:19:21.9483408Z   test_tensor_dict2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9483829Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:21.9484041Z ok (0.022s)
2022-11-23T01:19:21.9484476Z   test_tensor_dot_grad_no_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9484795Z unimplemented []
2022-11-23T01:19:21.9485033Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:19:21.9485346Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9485567Z ok (0.025s)
2022-11-23T01:19:21.9485986Z   test_tensor_is_contiguous_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9486403Z stats [('calls_captured', 10), ('fusions_possible', 8), ('unique_graphs', 2)]
2022-11-23T01:19:21.9486626Z ok (0.020s)
2022-11-23T01:19:21.9487047Z   test_tensor_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9487476Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9487685Z ok (0.012s)
2022-11-23T01:19:21.9488109Z   test_tensor_item_no_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9488418Z unimplemented []
2022-11-23T01:19:21.9488639Z graph_break [('Tensor.item', 1)]
2022-11-23T01:19:21.9488955Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9489176Z ok (0.011s)
2022-11-23T01:19:21.9489644Z   test_tensor_layout_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9489978Z ok (0.010s)
2022-11-23T01:19:21.9490391Z   test_tensor_types_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 10), ('ok', 10)]
2022-11-23T01:19:21.9490819Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)]
2022-11-23T01:19:21.9491029Z ok (0.034s)
2022-11-23T01:19:21.9491517Z   test_top_package_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9491902Z ok (0.009s)
2022-11-23T01:19:21.9492387Z   test_torch_cuda_is_available_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9492728Z ok (0.007s)
2022-11-23T01:19:21.9493167Z   test_torch_nn_parameter_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9493606Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9493819Z ok (0.008s)
2022-11-23T01:19:21.9494353Z   test_torch_profiler_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:19:06 1583:1583 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:21.9494927Z STAGE:2022-11-23 01:19:06 1583:1583 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:21.9495377Z STAGE:2022-11-23 01:19:06 1583:1583 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:21.9495783Z [2022-11-23 01:19:06,525] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:21.9496175Z [2022-11-23 01:19:06,528] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:21.9496554Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9496734Z unimplemented []
2022-11-23T01:19:21.9496972Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:21.9497299Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9497533Z ok (0.028s)
2022-11-23T01:19:21.9497997Z   test_torch_seed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9498337Z ok (0.008s)
2022-11-23T01:19:21.9498817Z   test_torch_size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9499131Z ok (0.015s)
2022-11-23T01:19:21.9499544Z   test_type_copy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9499968Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9500194Z ok (0.023s)
2022-11-23T01:19:21.9500617Z   test_typing_variable_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9501059Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9501281Z ok (0.010s)
2022-11-23T01:19:21.9501749Z   test_unpack4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:21.9502077Z ok (0.027s)
2022-11-23T01:19:21.9502544Z   test_unpack5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:21.9502863Z ok (0.024s)
2022-11-23T01:19:21.9503446Z   test_unsupported_fake_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:19:06,672] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 
2022-11-23T01:19:21.9503849Z due to: 
2022-11-23T01:19:21.9504059Z Traceback (most recent call last):
2022-11-23T01:19:21.9504393Z   File "/opt/conda/lib/python3.10/site-packages/torch/_ops.py", line 107, in resolve_key
2022-11-23T01:19:21.9504731Z     raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}")
2022-11-23T01:19:21.9505161Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta
2022-11-23T01:19:21.9505388Z 
2022-11-23T01:19:21.9505527Z During handling of the above exception, another exception occurred:
2022-11-23T01:19:21.9505695Z 
2022-11-23T01:19:21.9505777Z Traceback (most recent call last):
2022-11-23T01:19:21.9506171Z   File "/opt/conda/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 1015, in to_real_tensor
2022-11-23T01:19:21.9506483Z     out = torch.zeros_like(e, device=e.fake_device)
2022-11-23T01:19:21.9506765Z RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides
2022-11-23T01:19:21.9506922Z 
2022-11-23T01:19:21.9507062Z The above exception was the direct cause of the following exception:
2022-11-23T01:19:21.9507227Z 
2022-11-23T01:19:21.9507321Z Traceback (most recent call last):
2022-11-23T01:19:21.9507726Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1112, in run_node
2022-11-23T01:19:21.9507976Z     raise RuntimeError(
2022-11-23T01:19:21.9508499Z RuntimeError: Failed running call_function <built-in method quantize_per_tensor of type object at 0x7fd1cc5a4c60>(*(FakeTensor(FakeTensor(..., device='meta', size=(s0, s0)), cpu), 0.1, 10, torch.quint8), **{}):
2022-11-23T01:19:21.9508897Z Cannot call strides() on tensor with symbolic sizes/strides
2022-11-23T01:19:21.9509126Z (scroll up for backtrace)
2022-11-23T01:19:21.9509231Z 
2022-11-23T01:19:21.9509366Z The above exception was the direct cause of the following exception:
2022-11-23T01:19:21.9509531Z 
2022-11-23T01:19:21.9509623Z Traceback (most recent call last):
2022-11-23T01:19:21.9509996Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value
2022-11-23T01:19:21.9510273Z     raise TorchRuntimeError() from e
2022-11-23T01:19:21.9510510Z torch._dynamo.exc.TorchRuntimeError: 
2022-11-23T01:19:21.9510657Z 
2022-11-23T01:19:21.9510727Z from user code:
2022-11-23T01:19:21.9510971Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f
2022-11-23T01:19:21.9511243Z     return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8)
2022-11-23T01:19:21.9511392Z 
2022-11-23T01:19:21.9511520Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:19:21.9511677Z 
2022-11-23T01:19:21.9511682Z 
2022-11-23T01:19:21.9511786Z frames [('total', 1)]
2022-11-23T01:19:21.9512077Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9512302Z ok (0.026s)
2022-11-23T01:19:21.9512761Z   test_update_locals_and_stack_uses_shared_cache_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9513087Z inline_call []
2022-11-23T01:19:21.9513250Z unimplemented []
2022-11-23T01:19:21.9513663Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)]
2022-11-23T01:19:21.9513915Z ok (0.018s)
2022-11-23T01:19:21.9514400Z   test_user_defined_class_name_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9514744Z ok (0.017s)
2022-11-23T01:19:21.9515079Z   test_user_function_variable_supports_enum_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9515396Z ok (0.008s)
2022-11-23T01:19:21.9515716Z   test_user_function_variable_supports_function_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9516169Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9516401Z ok (0.010s)
2022-11-23T01:19:21.9516725Z   test_user_function_variable_supports_type_abcmeta_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9517213Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9517438Z ok (0.009s)
2022-11-23T01:19:21.9517855Z   test_user_getattr1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9518138Z inline_call []
2022-11-23T01:19:21.9518436Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9518663Z ok (0.015s)
2022-11-23T01:19:21.9519062Z   test_user_getattr2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9519361Z inline_call []
2022-11-23T01:19:21.9519656Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9519865Z ok (0.015s)
2022-11-23T01:19:21.9520302Z   test_user_property_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9520598Z inline_call []
2022-11-23T01:19:21.9520895Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9521106Z ok (0.012s)
2022-11-23T01:19:21.9521411Z   test_usr_cls_classmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9521828Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9522035Z ok (0.014s)
2022-11-23T01:19:21.9522342Z   test_usr_cls_staticmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9522763Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9522983Z ok (0.014s)
2022-11-23T01:19:21.9523262Z   test_version_ci_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:21.9523691Z   test_write_to_closures_in_inlining_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9524116Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9524325Z ok (0.011s)
2022-11-23T01:19:21.9524801Z   test_basicmodule1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9525134Z ok (0.025s)
2022-11-23T01:19:21.9525611Z   test_basicmodule2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9525927Z ok (0.025s)
2022-11-23T01:19:21.9526241Z   test_call_fn_with_non_const_inputs_safe_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9526673Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9526884Z ok (0.230s)
2022-11-23T01:19:21.9527354Z   test_cfgmod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9527678Z ok (0.041s)
2022-11-23T01:19:21.9528146Z   test_children_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9528458Z ok (0.033s)
2022-11-23T01:19:21.9528926Z   test_constloop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9529253Z ok (0.051s)
2022-11-23T01:19:21.9529545Z   test_densenet_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9529965Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:21.9530195Z ok (0.040s)
2022-11-23T01:19:21.9530491Z   test_enumvalues_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9530890Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:21.9531113Z ok (0.033s)
2022-11-23T01:19:21.9531584Z   test_fnmember_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9531914Z ok (0.021s)
2022-11-23T01:19:21.9532379Z   test_fnmembercmp1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9532735Z ok (0.021s)
2022-11-23T01:19:21.9533212Z   test_fnmembercmp2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9533529Z ok (0.022s)
2022-11-23T01:19:21.9533829Z   test_forward_directly_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9534245Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9534472Z ok (0.034s)
2022-11-23T01:19:21.9534755Z   test_generation_tag_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:21.9535342Z   test_hasattr_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9535673Z ok (0.020s)
2022-11-23T01:19:21.9536129Z   test_intarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9536547Z ok (0.037s)
2022-11-23T01:19:21.9537017Z   test_iseval1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9537348Z ok (0.034s)
2022-11-23T01:19:21.9537798Z   test_iseval2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9538122Z ok (0.024s)
2022-11-23T01:19:21.9538600Z   test_isnonelayer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9538940Z ok (0.017s)
2022-11-23T01:19:21.9539406Z   test_istraining1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9539737Z ok (0.021s)
2022-11-23T01:19:21.9540208Z   test_istraining2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9540534Z ok (0.020s)
2022-11-23T01:19:21.9540989Z   test_layerlist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9541318Z ok (0.027s)
2022-11-23T01:19:21.9542004Z   test_lazy_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:21.9542662Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:21.9543324Z [2022-11-23 01:19:07,653] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7fd15fad49d0> [SizeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:19:21.9544081Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:21.9544568Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:21.9545146Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:21.9545658Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:21.9546325Z [2022-11-23 01:19:07,692] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7fd15fad49d0> [SizeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:19:21.9547068Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:21.9547549Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:21.9547823Z frames [('total', 16), ('ok', 14)]
2022-11-23T01:19:21.9548567Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T01:19:21.9549242Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.LazyModule'>", 2)]
2022-11-23T01:19:21.9549643Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T01:19:21.9549996Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:19:21.9550224Z ok (0.112s)
2022-11-23T01:19:21.9550546Z   test_module_attribute_precedence_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9550982Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9551194Z ok (0.020s)
2022-11-23T01:19:21.9551497Z   test_module_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9551918Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:21.9552131Z ok (0.055s)
2022-11-23T01:19:21.9552619Z   test_module_name_string_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9552954Z ok (0.024s)
2022-11-23T01:19:21.9553253Z   test_module_property_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9553739Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9553968Z ok (0.015s)
2022-11-23T01:19:21.9554276Z   test_module_static_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9554684Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:21.9554914Z ok (0.053s)
2022-11-23T01:19:21.9555441Z   test_moduledict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9555774Z ok (0.017s)
2022-11-23T01:19:21.9556238Z   test_modulelist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T01:19:21.9556564Z ok (0.178s)
2022-11-23T01:19:21.9556863Z   test_modulemethod1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9557268Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:21.9557496Z ok (0.053s)
2022-11-23T01:19:21.9557799Z   test_modulemethod2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9558252Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:21.9558462Z ok (0.053s)
2022-11-23T01:19:21.9558958Z   test_nn_moduledict_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:19:21.9559349Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:19:21.9559611Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:21.9560069Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T01:19:21.9560465Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:21.9560671Z ok (0.023s)
2022-11-23T01:19:21.9560958Z   test_parameters1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9561369Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9561598Z ok (0.013s)
2022-11-23T01:19:21.9561886Z   test_parameters2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9562293Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9562515Z ok (0.012s)
2022-11-23T01:19:21.9562994Z   test_parameters3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9563311Z ok (0.030s)
2022-11-23T01:19:21.9563794Z   test_self_mutating1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:21.9564126Z ok (0.052s)
2022-11-23T01:19:21.9564575Z   test_seq_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9564899Z ok (0.031s)
2022-11-23T01:19:21.9565521Z   test_simple_torch_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:21.9566037Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:21.9566533Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:21.9566932Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:21.9567183Z inline_call []
2022-11-23T01:19:21.9567480Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9567696Z ok (0.025s)
2022-11-23T01:19:21.9568214Z   test_stringmember_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9568548Z ok (0.021s)
2022-11-23T01:19:21.9568830Z   test_submodules1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9569248Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:21.9569470Z ok (0.046s)
2022-11-23T01:19:21.9569766Z   test_submodules2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9570161Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:21.9570383Z ok (0.046s)
2022-11-23T01:19:21.9570672Z   test_super1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9571101Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9571322Z ok (0.028s)
2022-11-23T01:19:21.9571623Z   test_super_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9572039Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9572249Z ok (0.011s)
2022-11-23T01:19:21.9572723Z   test_tensorlist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9573055Z ok (0.032s)
2022-11-23T01:19:21.9573663Z   test_torch_function_with_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:21.9574182Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:21.9574694Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:21.9575096Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:21.9575464Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9575690Z ok (0.021s)
2022-11-23T01:19:21.9576117Z   test_unsupportedmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9576736Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9577017Z unimplemented []
2022-11-23T01:19:21.9577409Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9577831Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:19:21.9578049Z ok (0.052s)
2022-11-23T01:19:21.9578481Z   test_unsupportedmodule_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9579000Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9579295Z unimplemented []
2022-11-23T01:19:21.9579664Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9580078Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:19:21.9580301Z ok (0.052s)
2022-11-23T01:19:21.9580590Z   test_viamodulecall_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9581008Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9581232Z ok (0.027s)
2022-11-23T01:19:21.9581687Z   test_Size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9582167Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:19:21.9582439Z unimplemented []
2022-11-23T01:19:21.9582804Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:19:21.9583183Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9583411Z ok (0.012s)
2022-11-23T01:19:21.9583832Z   test_abc_setattr_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9584122Z unimplemented []
2022-11-23T01:19:21.9584552Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7fd12a737910>', 1)]
2022-11-23T01:19:21.9584899Z inline_call []
2022-11-23T01:19:21.9585199Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9585418Z ok (0.015s)
2022-11-23T01:19:21.9585719Z   test_batch_norm_act_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9586140Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9586351Z ok (0.068s)
2022-11-23T01:19:21.9586789Z   test_bigbird_unsqueeze_inplace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9587227Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9587510Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9587684Z ok (0.599s)
2022-11-23T01:19:21.9587978Z   test_boxes_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9588390Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9588599Z ok (0.015s)
2022-11-23T01:19:21.9588925Z   test_chunk_reformer_ff_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9589552Z   test_class_member_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9589882Z ok (0.018s)
2022-11-23T01:19:21.9590307Z   test_convert_boxes_to_pooler_format_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9590619Z inline_call []
2022-11-23T01:19:21.9590798Z unimplemented []
2022-11-23T01:19:21.9591095Z graph_break [('dynamic shape operator: aten.repeat_interleave.Tensor', 2)]
2022-11-23T01:19:21.9591470Z stats [('calls_captured', 18), ('fusions_possible', 14), ('unique_graphs', 4)]
2022-11-23T01:19:21.9591710Z expected failure (0.096s)
2022-11-23T01:19:21.9592050Z   test_create_rand_mask_from_inputs_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires static shapes (0.001s)
2022-11-23T01:19:21.9592499Z   test_dict_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.005s)
2022-11-23T01:19:21.9593028Z   test_dict_list_values_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:21.9593410Z unimplemented []
2022-11-23T01:19:21.9593853Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T01:19:21.9594173Z ok (0.032s)
2022-11-23T01:19:21.9594619Z   test_do_paste_mask_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1)]
2022-11-23T01:19:21.9594928Z expected failure (0.024s)
2022-11-23T01:19:21.9595407Z   test_ellipsis_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9595739Z ok (0.086s)
2022-11-23T01:19:21.9596147Z   test_exec_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:21.9596579Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:21.9596830Z unimplemented []
2022-11-23T01:19:21.9597153Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:21.9597394Z ok (0.004s)
2022-11-23T01:19:21.9597837Z   test_exec_wildcard_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:21.9598286Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:21.9598535Z unimplemented []
2022-11-23T01:19:21.9598845Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:21.9599217Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9599444Z ok (0.012s)
2022-11-23T01:19:21.9599881Z   test_for_loop_graph_break_before_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9600184Z unimplemented []
2022-11-23T01:19:21.9600559Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:19:21.9600829Z inline_call []
2022-11-23T01:19:21.9601121Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T01:19:21.9601347Z ok (0.224s)
2022-11-23T01:19:21.9601776Z   test_for_loop_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9602067Z inline_call []
2022-11-23T01:19:21.9602439Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:19:21.9602846Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9603072Z ok (0.016s)
2022-11-23T01:19:21.9603366Z   test_get_parameter_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9603789Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9604018Z ok (0.018s)
2022-11-23T01:19:21.9604339Z   test_grad_mode_carrying_correct_state_after_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Break
2022-11-23T01:19:21.9604708Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9604897Z unimplemented []
2022-11-23T01:19:21.9605118Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:21.9605316Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9605370Z ok (0.018s)
2022-11-23T01:19:21.9605704Z   test_guard_fail_nested_tuple_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9605901Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9605968Z ok (0.017s)
2022-11-23T01:19:21.9606307Z   test_guard_fail_tensor_bool_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 12), ('ok', 12)]
2022-11-23T01:19:21.9606511Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T01:19:21.9606989Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7fd12a73feb0>', 5), ('data dependent operator: aten.allclose.default', 5)]
2022-11-23T01:19:21.9607187Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)]
2022-11-23T01:19:21.9607254Z ok (0.125s)
2022-11-23T01:19:21.9607453Z   test_guard_ordering_shape_fail_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:21.9607657Z   test_hf_model_output_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9607853Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:19:21.9607921Z ok (0.079s)
2022-11-23T01:19:21.9608155Z   test_hf_t5_forward_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9608356Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T01:19:21.9608442Z expected failure (0.573s)
2022-11-23T01:19:21.9608767Z   test_indexing_with_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9608883Z inline_call [('Tensor.numpy', 1)]
2022-11-23T01:19:21.9609088Z unimplemented [('COMPARE_OP ConstantVariable(tuple) == SizeVariable()', 1)]
2022-11-23T01:19:21.9609214Z graph_break [('Tensor.numpy', 1)]
2022-11-23T01:19:21.9609280Z ok (0.023s)
2022-11-23T01:19:21.9609487Z   test_is_symbolic_tracing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9609683Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9609750Z ok (0.008s)
2022-11-23T01:19:21.9609938Z   test_isinstance_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:19:21.9610614Z   test_isinstance_storage_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:19:21.9610716Z   warnings.warn(message, UserWarning)
2022-11-23T01:19:21.9610838Z frames [('total', 12), ('ok', 11)]
2022-11-23T01:19:21.9610913Z unimplemented []
2022-11-23T01:19:21.9611286Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:19:21.9611551Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:19:21.9611635Z expected failure (0.015s)
2022-11-23T01:19:21.9611843Z   test_issue1466_size_aot_autograd_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... arf
2022-11-23T01:19:21.9611904Z arf
2022-11-23T01:19:21.9612011Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9612085Z unimplemented []
2022-11-23T01:19:21.9612305Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:21.9612501Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9612628Z aot_autograd [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9612693Z ok (0.209s)
2022-11-23T01:19:21.9612888Z   test_issue175_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9613076Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:19:21.9613144Z ok (0.154s)
2022-11-23T01:19:21.9613562Z   test_longformer_chunk_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 76), ('fusions_possible', 72), ('unique_graphs', 4)]
2022-11-23T01:19:21.9613630Z ok (2.136s)
2022-11-23T01:19:21.9613955Z   test_maml_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9614156Z inline_call [('inlining disallowed: <function grad at 0x7fd15fa30c10>', 1)]
2022-11-23T01:19:21.9614232Z unimplemented []
2022-11-23T01:19:21.9614545Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7fd15fa30c10>', 1)]
2022-11-23T01:19:21.9614731Z stats [('calls_captured', 36), ('fusions_possible', 33), ('unique_graphs', 3)]
2022-11-23T01:19:21.9614797Z ok (0.088s)
2022-11-23T01:19:21.9615126Z   test_maml_no_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:21.9615396Z inline_call [('inlining disallowed: <function grad at 0x7fd15fa30c10>', 1)]
2022-11-23T01:19:21.9615471Z unimplemented []
2022-11-23T01:19:21.9615809Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7fd15fa30c10>', 1)]
2022-11-23T01:19:21.9616009Z stats [('calls_captured', 36), ('fusions_possible', 31), ('unique_graphs', 5)]
2022-11-23T01:19:21.9616076Z ok (0.103s)
2022-11-23T01:19:21.9616645Z   test_modules_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9616715Z ok (0.036s)
2022-11-23T01:19:21.9617041Z   test_multi_dot_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9617334Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:19:21.9617415Z unimplemented []
2022-11-23T01:19:21.9617704Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:19:21.9617906Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9617975Z ok (0.017s)
2022-11-23T01:19:21.9618200Z   test_multi_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires detectron2 (0.000s)
2022-11-23T01:19:21.9618575Z   test_named_buffers_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9618643Z ok (0.027s)
2022-11-23T01:19:21.9618964Z   test_nn_parameter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9619205Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:19:21.9619287Z unimplemented []
2022-11-23T01:19:21.9619521Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:19:21.9619719Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9619786Z ok (0.010s)
2022-11-23T01:19:21.9620143Z   test_not_rewrite_assert_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:21.9620210Z ok (0.009s)
2022-11-23T01:19:21.9620565Z   test_not_rewrite_assert_for_other_errors_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9620765Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9620834Z ok (0.012s)
2022-11-23T01:19:21.9621201Z   test_numpy_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:19:21.9621279Z unimplemented []
2022-11-23T01:19:21.9621592Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7fd12a73e950>', 1)]
2022-11-23T01:19:21.9621664Z expected failure (0.023s)
2022-11-23T01:19:21.9621998Z   test_optimized_deepcopy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9622197Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9622265Z ok (0.021s)
2022-11-23T01:19:21.9622579Z   test_primtorch_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9622899Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:19:21.9622980Z unimplemented []
2022-11-23T01:19:21.9623262Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:19:21.9623315Z ok (0.009s)
2022-11-23T01:19:21.9623796Z   test_primtorch_no_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:19:21.9623883Z expected failure (0.005s)
2022-11-23T01:19:21.9624202Z   test_recursive_map_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9624274Z inline_call []
2022-11-23T01:19:21.9624473Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9624539Z ok (0.027s)
2022-11-23T01:19:21.9624745Z   test_reformer_eval_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9624940Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:19:21.9667819Z ok (0.402s)
2022-11-23T01:19:21.9668190Z   test_reformer_min_chunk_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9668469Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9668526Z ok (0.012s)
2022-11-23T01:19:21.9668741Z   test_reformer_sorting_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:21.9668951Z stats [('calls_captured', 28), ('fusions_possible', 27), ('unique_graphs', 1)]
2022-11-23T01:19:21.9669034Z ok (0.076s)
2022-11-23T01:19:21.9669363Z   test_reformer_train_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9669662Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:19:21.9669740Z unimplemented []
2022-11-23T01:19:21.9670108Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:19:21.9670308Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:19:21.9670362Z ok (0.352s)
2022-11-23T01:19:21.9670729Z   test_reinplacing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:21.9670848Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9671050Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9671180Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9671418Z ok (1.399s)
2022-11-23T01:19:21.9671808Z   test_relative_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9671874Z ok (0.026s)
2022-11-23T01:19:21.9672273Z   test_relative_import_no_modulename_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9672339Z ok (0.022s)
2022-11-23T01:19:21.9672732Z   test_rewrite_assert_noop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:21.9672851Z ok (0.045s)
2022-11-23T01:19:21.9673246Z   test_rewrite_assert_with_fstring_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:21.9673391Z ok (0.010s)
2022-11-23T01:19:21.9673796Z   test_rewrite_assert_with_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T01:19:21.9673860Z ok (0.050s)
2022-11-23T01:19:21.9674270Z   test_rewrite_assert_without_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T01:19:21.9674322Z ok (0.032s)
2022-11-23T01:19:21.9674638Z   test_rng_state_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9674836Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:21.9674905Z ok (0.012s)
2022-11-23T01:19:21.9675292Z   test_seq_append_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9675359Z ok (0.055s)
2022-11-23T01:19:21.9676031Z   test_sigmoid_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:21.9676127Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:19:21.9676916Z /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2022-11-23T01:19:21.9676995Z   warnings.warn(msg)
2022-11-23T01:19:21.9677551Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:21.9677644Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:19:21.9677797Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:21.9677979Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:19:21.9678047Z ok (0.030s)
2022-11-23T01:19:21.9678447Z   test_slice_into_list_mutable_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T01:19:21.9678516Z ok (0.042s)
2022-11-23T01:19:21.9678851Z   test_slicing_dynamic_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9679020Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:19:21.9679220Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9679303Z ok (0.011s)
2022-11-23T01:19:21.9679653Z   test_slicing_dynamic_shape_setitem_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:19:21.9679820Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:19:21.9679980Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T01:19:21.9680179Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9680248Z ok (0.035s)
2022-11-23T01:19:21.9680907Z   test_sort_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:21.9681021Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:19:21.9681890Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:21.9681986Z   return node.target(*args, **kwargs)
2022-11-23T01:19:21.9682535Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:21.9682646Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:19:21.9683194Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:21.9683299Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:19:21.9683425Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:21.9683607Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:19:21.9683728Z ok (0.040s)
2022-11-23T01:19:21.9684063Z   test_specialized_stride_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9684263Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9684330Z ok (0.005s)
2022-11-23T01:19:21.9684665Z   test_tensor_isinstance_tuple_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9684861Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9684927Z ok (0.006s)
2022-11-23T01:19:21.9685233Z   test_tokenization_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9685504Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:19:21.9685583Z unimplemented []
2022-11-23T01:19:21.9685822Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:19:21.9685888Z ok (0.014s)
2022-11-23T01:19:21.9686279Z   test_torch_ops_aten_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9686346Z ok (0.015s)
2022-11-23T01:19:21.9686744Z   test_vdd_duplicate_error_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9686796Z ok (0.031s)
2022-11-23T01:19:21.9687128Z   test_while_loop_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9687200Z inline_call []
2022-11-23T01:19:21.9687476Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:19:21.9687673Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9687739Z ok (0.016s)
2022-11-23T01:19:21.9687949Z   test_with_on_graph_break_inst_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Hello world
2022-11-23T01:19:21.9688018Z Hello world
2022-11-23T01:19:21.9688123Z frames [('total', 6), ('ok', 6)]
2022-11-23T01:19:21.9688341Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:21.9688418Z unimplemented []
2022-11-23T01:19:21.9688677Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T01:19:21.9688875Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T01:19:21.9688945Z ok (0.060s)
2022-11-23T01:19:21.9689262Z   test_capi_call1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9689338Z unimplemented []
2022-11-23T01:19:21.9689604Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9689800Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9689866Z ok (0.015s)
2022-11-23T01:19:21.9690175Z   test_capi_call2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9690250Z unimplemented []
2022-11-23T01:19:21.9690527Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9690725Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9690780Z ok (0.029s)
2022-11-23T01:19:21.9691162Z   test_capi_call3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9691239Z unimplemented []
2022-11-23T01:19:21.9691508Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9691702Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9691770Z ok (0.015s)
2022-11-23T01:19:21.9692089Z   test_control_flow1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9692286Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:21.9692338Z ok (0.024s)
2022-11-23T01:19:21.9692657Z   test_control_flow2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9692885Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9692955Z ok (0.012s)
2022-11-23T01:19:21.9693272Z   test_control_flow3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9693471Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:19:21.9693538Z ok (0.038s)
2022-11-23T01:19:21.9693853Z   test_control_flow4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:21.9694048Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)]
2022-11-23T01:19:21.9694101Z ok (0.023s)
2022-11-23T01:19:21.9694412Z   test_control_flow5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:21.9694615Z stats [('calls_captured', 13), ('fusions_possible', 7), ('unique_graphs', 6)]
2022-11-23T01:19:21.9694681Z ok (0.059s)
2022-11-23T01:19:21.9694996Z   test_dynamic_kwarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9695194Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9695259Z ok (0.011s)
2022-11-23T01:19:21.9695585Z   test_dynamic_shapes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 11), ('ok', 11)]
2022-11-23T01:19:21.9695773Z stats [('calls_captured', 22), ('fusions_possible', 11), ('unique_graphs', 11)]
2022-11-23T01:19:21.9695838Z ok (0.074s)
2022-11-23T01:19:21.9696175Z   test_enumerate_not_break_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9696370Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:21.9696556Z expected failure (0.020s)
2022-11-23T01:19:21.9696880Z   test_extended_args_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9697090Z stats [('calls_captured', 1026), ('fusions_possible', 1023), ('unique_graphs', 3)]
2022-11-23T01:19:21.9697156Z ok (2.978s)
2022-11-23T01:19:21.9697468Z   test_graph_break_on_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9697545Z unimplemented []
2022-11-23T01:19:21.9697671Z graph_break [('Tensor.item', 1)]
2022-11-23T01:19:21.9697866Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:19:21.9697932Z ok (0.029s)
2022-11-23T01:19:21.9698262Z   test_indirect_unsupported1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9698597Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9698675Z unimplemented []
2022-11-23T01:19:21.9698940Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9699136Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:21.9699202Z ok (0.028s)
2022-11-23T01:19:21.9699533Z   test_indirect_unsupported2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9699808Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9699884Z unimplemented []
2022-11-23T01:19:21.9700162Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9700399Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)]
2022-11-23T01:19:21.9700455Z ok (0.040s)
2022-11-23T01:19:21.9700788Z   test_indirect_unsupported3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9701064Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9701140Z unimplemented []
2022-11-23T01:19:21.9701415Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9701611Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:21.9701680Z ok (0.028s)
2022-11-23T01:19:21.9701999Z   test_multigraph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9702186Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:19:21.9702252Z ok (0.023s)
2022-11-23T01:19:21.9702584Z   test_no_graph_break_on_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9702778Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:21.9702844Z ok (0.021s)
2022-11-23T01:19:21.9703172Z   test_pop_after_resume_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9703248Z unimplemented []
2022-11-23T01:19:21.9703524Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9703705Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9703771Z ok (0.032s)
2022-11-23T01:19:21.9704093Z   test_restore_range_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9704170Z unimplemented []
2022-11-23T01:19:21.9704445Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9704642Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9704709Z ok (0.026s)
2022-11-23T01:19:21.9705032Z   test_restore_range_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9705095Z unimplemented []
2022-11-23T01:19:21.9705373Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9705568Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:21.9705636Z ok (0.020s)
2022-11-23T01:19:21.9705954Z   test_restore_state_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:19:21.9706059Z unimplemented []
2022-11-23T01:19:21.9706337Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9706532Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9706603Z expected failure (0.026s)
2022-11-23T01:19:21.9706912Z   test_resume1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9706990Z unimplemented []
2022-11-23T01:19:21.9707265Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9707461Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9707567Z ok (0.028s)
2022-11-23T01:19:21.9707877Z   test_resume2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9708156Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9708219Z unimplemented []
2022-11-23T01:19:21.9708490Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9708686Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:19:21.9708754Z ok (0.041s)
2022-11-23T01:19:21.9709064Z   test_resume3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9709339Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9709416Z unimplemented []
2022-11-23T01:19:21.9709691Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9709877Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:19:21.9709943Z ok (0.041s)
2022-11-23T01:19:21.9710249Z   test_resume4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9710527Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9710604Z unimplemented []
2022-11-23T01:19:21.9710876Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9711071Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:19:21.9711136Z ok (0.041s)
2022-11-23T01:19:21.9711347Z   test_resume5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000,
2022-11-23T01:19:21.9711417Z         1.5000])
2022-11-23T01:19:21.9711525Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000,
2022-11-23T01:19:21.9711591Z         1.5000])
2022-11-23T01:19:21.9711697Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000,
2022-11-23T01:19:21.9711761Z         1.5000])
2022-11-23T01:19:21.9711863Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000,
2022-11-23T01:19:21.9711914Z         1.5000])
2022-11-23T01:19:21.9712035Z frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9712109Z unimplemented []
2022-11-23T01:19:21.9712318Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9712513Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9712580Z ok (0.029s)
2022-11-23T01:19:21.9712905Z   test_resume_freevars_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9713011Z unimplemented []
2022-11-23T01:19:21.9713339Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9713550Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:19:21.9713617Z ok (0.037s)
2022-11-23T01:19:21.9713941Z   test_resume_paths_join_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:21.9714142Z stats [('calls_captured', 10), ('unique_graphs', 7), ('fusions_possible', 3)]
2022-11-23T01:19:21.9714209Z ok (0.070s)
2022-11-23T01:19:21.9714538Z   test_resume_tuple_iterator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9714651Z unimplemented []
2022-11-23T01:19:21.9714919Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9715117Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:21.9715185Z ok (0.038s)
2022-11-23T01:19:21.9715512Z   test_resume_with_no_grad1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9715590Z unimplemented []
2022-11-23T01:19:21.9715722Z graph_break [('Tensor.tolist', 2)]
2022-11-23T01:19:21.9715923Z stats [('calls_captured', 18), ('fusions_possible', 14), ('unique_graphs', 4)]
2022-11-23T01:19:21.9715977Z ok (0.053s)
2022-11-23T01:19:21.9716302Z   test_resume_with_no_grad2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9716379Z unimplemented []
2022-11-23T01:19:21.9716511Z graph_break [('Tensor.tolist', 2)]
2022-11-23T01:19:21.9716708Z stats [('calls_captured', 13), ('fusions_possible', 10), ('unique_graphs', 3)]
2022-11-23T01:19:21.9716774Z ok (0.039s)
2022-11-23T01:19:21.9717103Z   test_resume_with_no_grad3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9717178Z unimplemented []
2022-11-23T01:19:21.9717291Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:21.9717491Z stats [('calls_captured', 19), ('fusions_possible', 17), ('unique_graphs', 2)]
2022-11-23T01:19:21.9717556Z ok (0.032s)
2022-11-23T01:19:21.9717869Z   test_stack_state1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9717945Z unimplemented []
2022-11-23T01:19:21.9718224Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9718424Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:21.9718489Z ok (0.035s)
2022-11-23T01:19:21.9718790Z   test_stack_state2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9719066Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9719141Z unimplemented []
2022-11-23T01:19:21.9719414Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9719608Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:19:21.9719676Z ok (0.048s)
2022-11-23T01:19:21.9719888Z   test_start1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])
2022-11-23T01:19:21.9720048Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.])
2022-11-23T01:19:21.9720127Z tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])
2022-11-23T01:19:21.9720284Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.])
2022-11-23T01:19:21.9720435Z frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9720515Z unimplemented []
2022-11-23T01:19:21.9720728Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9720927Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9720994Z ok (0.024s)
2022-11-23T01:19:21.9721287Z   test_start2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9721566Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9721641Z unimplemented []
2022-11-23T01:19:21.9721918Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9722150Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:21.9722216Z ok (0.033s)
2022-11-23T01:19:21.9722525Z   test_start3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:21.9722601Z unimplemented []
2022-11-23T01:19:21.9722862Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:21.9723058Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9723125Z ok (0.020s)
2022-11-23T01:19:21.9723429Z   test_start4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9723625Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:19:21.9723691Z ok (0.033s)
2022-11-23T01:19:21.9723918Z   test_tuple_iterator_mutate_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: not working yet (0.001s)
2022-11-23T01:19:21.9724247Z   test_tuple_iterator_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9724310Z unimplemented []
2022-11-23T01:19:21.9724589Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:21.9724783Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:19:21.9724848Z ok (0.041s)
2022-11-23T01:19:21.9725076Z   test_builtin_functions_on_cuda_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:21.9725388Z   test_builtin_getitem_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1)]
2022-11-23T01:19:21.9725473Z expected failure (0.012s)
2022-11-23T01:19:21.9725795Z   test_builtin_max_min_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9725991Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:21.9726043Z ok (0.020s)
2022-11-23T01:19:21.9726393Z   test_feed_random_values_into_graph_only_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9726585Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:21.9726652Z ok (0.010s)
2022-11-23T01:19:21.9727023Z   test_multiple_consecutive_random_calls_before_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9727214Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9727282Z ok (0.009s)
2022-11-23T01:19:21.9727640Z   test_no_recompilations_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9727819Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:21.9727886Z ok (0.014s)
2022-11-23T01:19:21.9728208Z   test_numpy_correctness_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:21.9728395Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)]
2022-11-23T01:19:21.9728546Z graph_break [('Tensor.numpy', 2), ('numpy', 2)]
2022-11-23T01:19:21.9728738Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9728805Z ok (0.070s)
2022-11-23T01:19:21.9729142Z   test_random_call_with_while_loop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:21.9729356Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:21.9729424Z ok (0.012s)
2022-11-23T01:19:21.9729765Z   test_random_values_with_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:21.9729843Z unimplemented []
2022-11-23T01:19:21.9729969Z graph_break [('Tensor.item', 2)]
2022-11-23T01:19:21.9730165Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:19:21.9730231Z ok (0.041s)
2022-11-23T01:19:21.9730551Z   test_unspec_float_precision_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1)]
2022-11-23T01:19:21.9730621Z expected failure (0.070s)
2022-11-23T01:19:21.9730629Z 
2022-11-23T01:19:21.9730828Z ----------------------------------------------------------------------
2022-11-23T01:19:21.9730911Z Ran 475 tests in 21.424s
2022-11-23T01:19:21.9730917Z 
2022-11-23T01:19:21.9731015Z OK (skipped=18, expected failures=15)
2022-11-23T01:19:21.9731020Z 
2022-11-23T01:19:21.9731107Z Generating XML reports...
2022-11-23T01:19:21.9731502Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesExportTests-20221123011859.xml
2022-11-23T01:19:21.9731896Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesFunctionTests-20221123011859.xml
2022-11-23T01:19:21.9732274Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesMiscTests-20221123011859.xml
2022-11-23T01:19:21.9732657Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesNNModuleTests-20221123011859.xml
2022-11-23T01:19:21.9733023Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesReproTests-20221123011859.xml
2022-11-23T01:19:21.9733416Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesSubGraphTests-20221123011859.xml
2022-11-23T01:19:21.9733796Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesUnspecTests-20221123011859.xml
2022-11-23T01:19:21.9733801Z 
2022-11-23T01:19:21.9734149Z ##[endgroup]
2022-11-23T01:19:21.9734471Z FINISHED PRINTING LOG FILE of dynamo/test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_dynamic_shapes_okue3evn)
2022-11-23T01:19:21.9734477Z 
2022-11-23T01:19:23.8352934Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:23.8457988Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:23.9048315Z Ignoring disabled issues:  []
2022-11-23T01:19:23.9149822Z Ignoring disabled issues:  []
2022-11-23T01:19:23.9191942Z Running dynamo/test_minifier ... [2022-11-23 01:19:23.918994]
2022-11-23T01:19:23.9195010Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:23.919288]
2022-11-23T01:19:23.9294033Z Running dynamo/test_misc ... [2022-11-23 01:19:23.929158]
2022-11-23T01:19:23.9296051Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_misc.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:23.929419]
2022-11-23T01:19:28.7597712Z 
2022-11-23T01:19:28.7598721Z Expand the folded group to see the log file of dynamo/test_misc
2022-11-23T01:19:28.7600990Z ##[group]PRINTING LOG FILE of dynamo/test_misc (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_misc_lkqjb862)
2022-11-23T01:19:28.7601382Z 
2022-11-23T01:19:28.7601646Z Running tests...
2022-11-23T01:19:28.7602240Z ----------------------------------------------------------------------
2022-11-23T01:19:28.7603123Z Test results will be stored in test-reports/python-unittest/dynamo.test_misc
2022-11-23T01:19:28.7603590Z   test_allow_in_graph (__main__.MiscTests) ... ok (0.253s)
2022-11-23T01:19:28.7604100Z   test_autocast (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7604658Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:28.7605050Z skip: requires cuda (0.001s)
2022-11-23T01:19:28.7605678Z   test_autocast_cpu (__main__.MiscTests) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:28.7606157Z ok (0.014s)
2022-11-23T01:19:28.7606584Z   test_autocast_device (__main__.MiscTests) ... skip: requires cuda (0.001s)
2022-11-23T01:19:28.7607123Z   test_autocast_float64 (__main__.MiscTests) ... skip: requires cuda (0.001s)
2022-11-23T01:19:28.7607612Z   test_autograd_function_equivalence (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7608084Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7608316Z ok (0.099s)
2022-11-23T01:19:28.7608734Z   test_autograd_profiler (__main__.MiscTests) ... STAGE:2022-11-23 01:19:25 1763:1763 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:28.7609211Z STAGE:2022-11-23 01:19:25 1763:1763 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:28.7609661Z STAGE:2022-11-23 01:19:25 1763:1763 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:28.7610078Z [2022-11-23 01:19:25,859] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:28.7610360Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7610549Z unimplemented []
2022-11-23T01:19:28.7610783Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:28.7611091Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7611317Z ok (0.018s)
2022-11-23T01:19:28.7611752Z   test_autograd_profiler_enabled (__main__.MiscTests) ... STAGE:2022-11-23 01:19:25 1763:1763 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:28.7612231Z STAGE:2022-11-23 01:19:25 1763:1763 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:28.7612680Z STAGE:2022-11-23 01:19:25 1763:1763 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:28.7612994Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:28.7613184Z unimplemented []
2022-11-23T01:19:28.7613476Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)]
2022-11-23T01:19:28.7613836Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:28.7614064Z ok (0.013s)
2022-11-23T01:19:28.7614404Z   test_boolarg (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:28.7614662Z ok (0.012s)
2022-11-23T01:19:28.7614879Z   test_build_tuple_unpack (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7615215Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7615436Z ok (0.014s)
2022-11-23T01:19:28.7615903Z   test_builtin_isinstance (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7616176Z ok (0.007s)
2022-11-23T01:19:28.7616407Z   test_builtin_subclasses_as_method_on_class_type (__main__.MiscTests) ... ok (0.002s)
2022-11-23T01:19:28.7616908Z   test_builtin_subclasses_as_method_on_var (__main__.MiscTests) ... ok (0.004s)
2022-11-23T01:19:28.7617348Z   test_callpacked (__main__.MiscTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7617594Z ok (0.011s)
2022-11-23T01:19:28.7617884Z   test_cell_output1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7618233Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7618443Z ok (0.005s)
2022-11-23T01:19:28.7618793Z   test_cell_output2 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7619024Z unimplemented []
2022-11-23T01:19:28.7619417Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:28.7619817Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7620043Z ok (0.009s)
2022-11-23T01:19:28.7620414Z   test_change_backends (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:28.7620716Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7620899Z ok (0.022s)
2022-11-23T01:19:28.7621174Z   test_cond (__main__.MiscTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:28.7621384Z unimplemented []
2022-11-23T01:19:28.7621674Z graph_break [('Fake tensor mode not yet supported for cond', 2)]
2022-11-23T01:19:28.7622024Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:28.7622252Z ok (0.017s)
2022-11-23T01:19:28.7622594Z   test_cond_export (__main__.MiscTests) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:19:28.7622854Z ok (0.024s)
2022-11-23T01:19:28.7623231Z   test_cond_export_single_arg (__main__.MiscTests) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)]
2022-11-23T01:19:28.7623489Z ok (0.013s)
2022-11-23T01:19:28.7623776Z   test_cond_nested (__main__.MiscTests) ... frames [('total', 11), ('ok', 11)]
2022-11-23T01:19:28.7624006Z unimplemented []
2022-11-23T01:19:28.7624280Z graph_break [('Fake tensor mode not yet supported for cond', 6)]
2022-11-23T01:19:28.7624628Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:19:28.7624852Z ok (0.036s)
2022-11-23T01:19:28.7625149Z   test_cond_nested_fake_tensor_off (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7625510Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:19:28.7625737Z ok (0.023s)
2022-11-23T01:19:28.7626046Z   test_config_getattr_default (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:28.7626400Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)]
2022-11-23T01:19:28.7626629Z ok (0.050s)
2022-11-23T01:19:28.7626922Z   test_config_log_level (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7627261Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7627485Z ok (0.010s)
2022-11-23T01:19:28.7627767Z   test_config_obj (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:28.7628097Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:19:28.7628319Z ok (0.041s)
2022-11-23T01:19:28.7628551Z   test_const_dict_variable_python_type (__main__.MiscTests) ... ok (0.002s)
2022-11-23T01:19:28.7629161Z   test_cross_entropy_loss_fancy_ctor (__main__.MiscTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T01:19:28.7629703Z   warnings.warn(warning.format(ret))
2022-11-23T01:19:28.7629888Z ok (0.004s)
2022-11-23T01:19:28.7630121Z   test_cross_entropy_loss_simple_ctor (__main__.MiscTests) ... ok (0.002s)
2022-11-23T01:19:28.7630483Z   test_dataclass_fields (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7630701Z inline_call []
2022-11-23T01:19:28.7630998Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:28.7631229Z ok (0.038s)
2022-11-23T01:19:28.7631528Z   test_dict_mutation_side_effect (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7631894Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7632116Z ok (0.006s)
2022-11-23T01:19:28.7632438Z   test_dict_reconstruct_keeps_original_order (__main__.MiscTests) ... frames [('total', 13), ('ok', 12)]
2022-11-23T01:19:28.7632937Z unimplemented [("Guard setup for uninitialized class <class 'torch.nn.modules.container.ModuleDict'>", 1)]
2022-11-23T01:19:28.7633978Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.10/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)]
2022-11-23T01:19:28.7634648Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:28.7635041Z ok (0.039s)
2022-11-23T01:19:28.7635315Z   test_dictcomp (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7635538Z inline_call []
2022-11-23T01:19:28.7635839Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7636052Z ok (0.008s)
2022-11-23T01:19:28.7636268Z   test_disable_optimize (__main__.MiscTests) ... ok (0.002s)
2022-11-23T01:19:28.7636623Z   test_disallow_in_graph (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7636848Z unimplemented []
2022-11-23T01:19:28.7637227Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)]
2022-11-23T01:19:28.7637636Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7637861Z ok (0.012s)
2022-11-23T01:19:28.7638066Z   test_dunder_methods (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7638409Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:28.7638635Z ok (0.022s)
2022-11-23T01:19:28.7638848Z   test_duplicate_graph_break_warning (__main__.MiscTests) ... break
2022-11-23T01:19:28.7639066Z break
2022-11-23T01:19:28.7639275Z frames [('total', 9), ('ok', 9)]
2022-11-23T01:19:28.7639598Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)]
2022-11-23T01:19:28.7639852Z unimplemented []
2022-11-23T01:19:28.7640181Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)]
2022-11-23T01:19:28.7640542Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)]
2022-11-23T01:19:28.7640770Z ok (0.029s)
2022-11-23T01:19:28.7641004Z   test_dynamo_min_operator_with_shape (__main__.MiscTests) ... ok (0.003s)
2022-11-23T01:19:28.7641350Z   test_empty_list (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7641682Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:28.7641907Z ok (0.009s)
2022-11-23T01:19:28.7642280Z   test_enum_no_graphbreaks (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:28.7642537Z ok (0.011s)
2022-11-23T01:19:28.7642844Z   test_error_on_nested_fx_trace (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7643204Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7643453Z ok (0.005s)
2022-11-23T01:19:28.7643802Z   test_fold (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7644054Z ok (0.005s)
2022-11-23T01:19:28.7644444Z   test_frozenset_torch_func_contains (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:28.7644707Z ok (0.009s)
2022-11-23T01:19:28.7645080Z   test_function_annotation (__main__.MiscTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:28.7645345Z ok (0.009s)
2022-11-23T01:19:28.7645681Z   test_generate_tensor_from_list_of_numpy_primitive_type (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7645950Z unimplemented []
2022-11-23T01:19:28.7646207Z graph_break [('numpy', 1)]
2022-11-23T01:19:28.7646502Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7646726Z ok (0.008s)
2022-11-23T01:19:28.7647003Z   test_grad (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7647213Z unimplemented []
2022-11-23T01:19:28.7647451Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:19:28.7647777Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7648001Z ok (0.013s)
2022-11-23T01:19:28.7648281Z   test_grad_mode_guard (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7648514Z unimplemented []
2022-11-23T01:19:28.7648750Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:28.7649056Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7649278Z ok (0.012s)
2022-11-23T01:19:28.7649563Z   test_graph_break (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:28.7649780Z unimplemented []
2022-11-23T01:19:28.7650154Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 2)]
2022-11-23T01:19:28.7650553Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:19:28.7650762Z ok (0.017s)
2022-11-23T01:19:28.7651123Z   test_id_of_nn_module (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:28.7651386Z ok (0.010s)
2022-11-23T01:19:28.7651747Z   test_if_cond_nn_mod (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:28.7651993Z ok (0.011s)
2022-11-23T01:19:28.7652282Z   test_inference_mode (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7652634Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7652845Z ok (0.006s)
2022-11-23T01:19:28.7653146Z   test_inline_dict_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7653376Z inline_call []
2022-11-23T01:19:28.7653660Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7653882Z ok (0.008s)
2022-11-23T01:19:28.7654211Z   test_inline_func_jump_on_tensor_condition (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:28.7654548Z inline_call [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:28.7654753Z unimplemented []
2022-11-23T01:19:28.7655017Z graph_break [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:28.7655355Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:28.7655567Z ok (0.013s)
2022-11-23T01:19:28.7655865Z   test_inline_list_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7656097Z inline_call []
2022-11-23T01:19:28.7656378Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7656831Z ok (0.006s)
2022-11-23T01:19:28.7657193Z   test_inplace (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7657503Z ok (0.007s)
2022-11-23T01:19:28.7657885Z   test_inplace_param_update (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:28.7658158Z ok (0.007s)
2022-11-23T01:19:28.7658526Z   test_is_floating_point (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7658775Z ok (0.007s)
2022-11-23T01:19:28.7659141Z   test_is_floating_point2 (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7659403Z ok (0.007s)
2022-11-23T01:19:28.7659743Z   test_is_tensor (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7659996Z ok (0.006s)
2022-11-23T01:19:28.7660323Z   test_is_tensor2 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7660659Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:28.7660886Z ok (0.009s)
2022-11-23T01:19:28.7661249Z   test_is_tensor_like (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:28.7661512Z ok (0.009s)
2022-11-23T01:19:28.7661790Z   test_is_tensor_like2 (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:28.7662019Z unimplemented []
2022-11-23T01:19:28.7662345Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)]
2022-11-23T01:19:28.7662707Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:28.7662929Z ok (0.011s)
2022-11-23T01:19:28.7663273Z   test_item (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7663509Z ok (0.007s)
2022-11-23T01:19:28.7663870Z   test_item_changes (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:28.7664129Z ok (0.012s)
2022-11-23T01:19:28.7664509Z   test_item_changes_new_shape (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:28.7664766Z ok (0.012s)
2022-11-23T01:19:28.7664981Z   test_large_reduction_list (__main__.MiscTests) ... ok (0.013s)
2022-11-23T01:19:28.7665245Z   test_linetable_writer (__main__.MiscTests) ... ok (0.001s)
2022-11-23T01:19:28.7665586Z   test_list_append_return_none (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7665946Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7666167Z ok (0.005s)
2022-11-23T01:19:28.7666432Z   test_list_mul (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7666645Z ok (0.002s)
2022-11-23T01:19:28.7666926Z   test_listcomp (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7667129Z inline_call []
2022-11-23T01:19:28.7667431Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:28.7667654Z ok (0.010s)
2022-11-23T01:19:28.7667896Z   test_lnotab_writer (__main__.MiscTests) ... skip: use lnotab when python < 3.10 (0.000s)
2022-11-23T01:19:28.7668311Z   test_manual_seed (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7668571Z ok (0.008s)
2022-11-23T01:19:28.7668920Z   test_matmul1 (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7669160Z ok (0.005s)
2022-11-23T01:19:28.7669376Z   test_module_complex_iter (__main__.MiscTests) ... ok (0.012s)
2022-11-23T01:19:28.7669720Z   test_module_deepcopy (__main__.MiscTests) ... frames [('total', 6), ('ok', 6)]
2022-11-23T01:19:28.7669941Z unimplemented []
2022-11-23T01:19:28.7670266Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 2)]
2022-11-23T01:19:28.7670508Z inline_call []
2022-11-23T01:19:28.7670849Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:28.7671064Z ok (0.046s)
2022-11-23T01:19:28.7671280Z   test_named_parameters (__main__.MiscTests) ... ok (0.024s)
2022-11-23T01:19:28.7671620Z   test_namedtuple1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7671954Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7672178Z ok (0.007s)
2022-11-23T01:19:28.7672466Z   test_namedtuple2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7672796Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7673022Z ok (0.008s)
2022-11-23T01:19:28.7673382Z   test_namedtuple3 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7673720Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7673982Z ok (0.005s)
2022-11-23T01:19:28.7674255Z   test_nan (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7674598Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7674808Z ok (0.005s)
2022-11-23T01:19:28.7675027Z   test_nested_closure (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7675370Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)]
2022-11-23T01:19:28.7675580Z ok (0.019s)
2022-11-23T01:19:28.7675808Z   test_nested_closure_mutation (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7676159Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)]
2022-11-23T01:19:28.7676367Z ok (0.016s)
2022-11-23T01:19:28.7676855Z   test_nested_disable_decorator (__main__.MiscTests) ... [2022-11-23 01:19:26,796] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 
2022-11-23T01:19:28.7677182Z due to: 
2022-11-23T01:19:28.7677372Z Traceback (most recent call last):
2022-11-23T01:19:28.7677727Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented
2022-11-23T01:19:28.7678002Z     raise Unsupported(msg)
2022-11-23T01:19:28.7678361Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7efced807a30>
2022-11-23T01:19:28.7678622Z 
2022-11-23T01:19:28.7678680Z from user code:
2022-11-23T01:19:28.7678924Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3
2022-11-23T01:19:28.7679161Z     return fn2(x)
2022-11-23T01:19:28.7679404Z   File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2
2022-11-23T01:19:28.7679631Z     x = fn1(x)  # graph break
2022-11-23T01:19:28.7679746Z 
2022-11-23T01:19:28.7679876Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:19:28.7680034Z 
2022-11-23T01:19:28.7680039Z 
2022-11-23T01:19:28.7680160Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7680337Z unimplemented []
2022-11-23T01:19:28.7680769Z graph_break [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7efced807a30>', 1)]
2022-11-23T01:19:28.7681201Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7681681Z inline_call [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7efced807a30>', 1)]
2022-11-23T01:19:28.7681964Z ok (0.014s)
2022-11-23T01:19:28.7682331Z   test_nested_optimize (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:28.7682598Z ok (0.015s)
2022-11-23T01:19:28.7682815Z   test_nested_optimize_decorator (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7683170Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:28.7683398Z ok (0.009s)
2022-11-23T01:19:28.7683788Z   test_nested_optimize_run (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:28.7684057Z ok (0.013s)
2022-11-23T01:19:28.7684285Z   test_nn_sequential_invocation (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7684637Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7684848Z ok (0.022s)
2022-11-23T01:19:28.7685097Z   test_nn_sequential_invocation_reposition_indices (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7685466Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7685679Z ok (0.017s)
2022-11-23T01:19:28.7685991Z   test_no_error_on_nested_fx_trace (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7686356Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7686596Z ok (0.006s)
2022-11-23T01:19:28.7686953Z   test_no_grad (__main__.MiscTests) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)]
2022-11-23T01:19:28.7687213Z ok (0.052s)
2022-11-23T01:19:28.7687564Z   test_numel (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7687800Z ok (0.007s)
2022-11-23T01:19:28.7688100Z   test_numpy_int_constant (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7688455Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7688665Z ok (0.006s)
2022-11-23T01:19:28.7688977Z   test_numpy_variable_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7689336Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7689545Z ok (0.005s)
2022-11-23T01:19:28.7689766Z   test_object_classmethod (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7690112Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7690333Z ok (0.006s)
2022-11-23T01:19:28.7690543Z   test_object_staticmethod (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7690887Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7691111Z ok (0.006s)
2022-11-23T01:19:28.7691477Z   test_onnx_shape_as_tensor (__main__.MiscTests) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)]
2022-11-23T01:19:28.7691742Z ok (0.062s)
2022-11-23T01:19:28.7692114Z   test_optimize_on_module (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7692363Z ok (0.005s)
2022-11-23T01:19:28.7692703Z   test_pair (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:28.7692954Z ok (0.011s)
2022-11-23T01:19:28.7693241Z   test_python_slice (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7693446Z ok (0.006s)
2022-11-23T01:19:28.7693740Z   test_raise_on_backend_error (__main__.MiscTests) ... frames [('total', 1)]
2022-11-23T01:19:28.7694059Z stats [('calls_captured', 3), ('fusions_possible', 2)]
2022-11-23T01:19:28.7694251Z ok (0.005s)
2022-11-23T01:19:28.7694528Z   test_raises (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:28.7694751Z unimplemented []
2022-11-23T01:19:28.7695050Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)]
2022-11-23T01:19:28.7695410Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7695633Z ok (0.009s)
2022-11-23T01:19:28.7695839Z   test_rand (__main__.MiscTests) ... skip: requires cuda (0.001s)
2022-11-23T01:19:28.7696100Z   test_range_input (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7696569Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7696786Z ok (0.007s)
2022-11-23T01:19:28.7697106Z   test_recursive_inline_list_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7697412Z inline_call []
2022-11-23T01:19:28.7697716Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:28.7697927Z ok (0.017s)
2022-11-23T01:19:28.7698232Z   test_release_input_memory (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7698590Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7698803Z ok (0.004s)
2022-11-23T01:19:28.7699109Z   test_release_module_memory (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7699466Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7699677Z ok (0.009s)
2022-11-23T01:19:28.7700075Z   test_repro_graph_breaks_in__get_item_by_idx (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7700414Z ok (0.009s)
2022-11-23T01:19:28.7700729Z   test_return_nested_function (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7701074Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2022-11-23T01:19:28.7701297Z ok (0.015s)
2022-11-23T01:19:28.7701505Z   test_sample_input (__main__.MiscTests) ... ok (0.589s)
2022-11-23T01:19:28.7701833Z   test_setattr_mutation1 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7702272Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)]
2022-11-23T01:19:28.7702799Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) <class 'torch.Tensor'>", 1)]
2022-11-23T01:19:28.7703151Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7703452Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:19:28.7703682Z ok (0.020s)
2022-11-23T01:19:28.7703980Z   test_setattr_mutation2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7704193Z inline_call []
2022-11-23T01:19:28.7704494Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:28.7704722Z ok (0.014s)
2022-11-23T01:19:28.7705005Z   test_setattr_mutation3 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7705234Z inline_call []
2022-11-23T01:19:28.7705529Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:28.7705737Z ok (0.015s)
2022-11-23T01:19:28.7706027Z   test_shape_unpack (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7706375Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7706595Z ok (0.005s)
2022-11-23T01:19:28.7706919Z   test_side_effects_codegen_update_mutated (__main__.MiscTests) ... frames [('total', 6), ('ok', 6)]
2022-11-23T01:19:28.7707175Z unimplemented []
2022-11-23T01:19:28.7707404Z graph_break [('Tensor.item', 4)]
2022-11-23T01:19:28.7707707Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:19:28.7707930Z ok (0.030s)
2022-11-23T01:19:28.7708215Z   test_size_input (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7708543Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:28.7708763Z ok (0.011s)
2022-11-23T01:19:28.7709119Z   test_slice_input (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:28.7709367Z ok (0.036s)
2022-11-23T01:19:28.7709674Z   test_tensor_build_list_unpack (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7710031Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7710253Z ok (0.025s)
2022-11-23T01:19:28.7710596Z   test_tensor_data (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7710858Z ok (0.010s)
2022-11-23T01:19:28.7711174Z   test_tensor_dict1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7711510Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7711730Z ok (0.013s)
2022-11-23T01:19:28.7712016Z   test_tensor_dict2 (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:28.7712346Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:28.7712569Z ok (0.021s)
2022-11-23T01:19:28.7712888Z   test_tensor_dot_grad_no_graph_break (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7713135Z unimplemented []
2022-11-23T01:19:28.7713442Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:19:28.7713773Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:28.7714029Z ok (0.016s)
2022-11-23T01:19:28.7714423Z   test_tensor_is_contiguous (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7714861Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:28.7715089Z ok (0.020s)
2022-11-23T01:19:28.7715379Z   test_tensor_item_capture (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7715744Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7715968Z ok (0.007s)
2022-11-23T01:19:28.7716259Z   test_tensor_item_no_capture (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7716500Z unimplemented []
2022-11-23T01:19:28.7716735Z graph_break [('Tensor.item', 1)]
2022-11-23T01:19:28.7717039Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7717261Z ok (0.006s)
2022-11-23T01:19:28.7717625Z   test_tensor_layout (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7717890Z ok (0.007s)
2022-11-23T01:19:28.7718167Z   test_tensor_types (__main__.MiscTests) ... frames [('total', 10), ('ok', 10)]
2022-11-23T01:19:28.7718526Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)]
2022-11-23T01:19:28.7718757Z ok (0.034s)
2022-11-23T01:19:28.7719115Z   test_top_package_import (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7719386Z ok (0.005s)
2022-11-23T01:19:28.7719762Z   test_torch_cuda_is_available (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7720016Z ok (0.005s)
2022-11-23T01:19:28.7720335Z   test_torch_nn_parameter_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7720704Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7720931Z ok (0.007s)
2022-11-23T01:19:28.7721340Z   test_torch_profiler (__main__.MiscTests) ... STAGE:2022-11-23 01:19:28 1763:1763 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:28.7721821Z STAGE:2022-11-23 01:19:28 1763:1763 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:28.7722274Z STAGE:2022-11-23 01:19:28 1763:1763 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:28.7722678Z [2022-11-23 01:19:28,019] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:28.7723075Z [2022-11-23 01:19:28,021] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:28.7723364Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7723554Z unimplemented []
2022-11-23T01:19:28.7723775Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:28.7724098Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:28.7724325Z ok (0.017s)
2022-11-23T01:19:28.7724674Z   test_torch_seed (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7724935Z ok (0.006s)
2022-11-23T01:19:28.7725346Z   test_torch_size (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7725593Z ok (0.007s)
2022-11-23T01:19:28.7725881Z   test_type_copy (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7726233Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:28.7726457Z ok (0.014s)
2022-11-23T01:19:28.7726760Z   test_typing_variable_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7727124Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7727349Z ok (0.006s)
2022-11-23T01:19:28.7727687Z   test_unpack4 (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:28.7727977Z ok (0.011s)
2022-11-23T01:19:28.7728323Z   test_unpack5 (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:28.7728565Z ok (0.010s)
2022-11-23T01:19:28.7729050Z   test_unsupported_fake_tensor (__main__.MiscTests) ... [2022-11-23 01:19:28,090] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 
2022-11-23T01:19:28.7729370Z due to: 
2022-11-23T01:19:28.7729554Z Traceback (most recent call last):
2022-11-23T01:19:28.7729890Z   File "/opt/conda/lib/python3.10/site-packages/torch/_ops.py", line 107, in resolve_key
2022-11-23T01:19:28.7730225Z     raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}")
2022-11-23T01:19:28.7730601Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta
2022-11-23T01:19:28.7730819Z 
2022-11-23T01:19:28.7730943Z During handling of the above exception, another exception occurred:
2022-11-23T01:19:28.7731111Z 
2022-11-23T01:19:28.7731208Z Traceback (most recent call last):
2022-11-23T01:19:28.7731597Z   File "/opt/conda/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 213, in from_real_tensor
2022-11-23T01:19:28.7731956Z     raise UnsupportedFakeTensorException("quantized nyi in meta tensors")
2022-11-23T01:19:28.7732312Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors
2022-11-23T01:19:28.7732525Z 
2022-11-23T01:19:28.7732662Z The above exception was the direct cause of the following exception:
2022-11-23T01:19:28.7732826Z 
2022-11-23T01:19:28.7732918Z Traceback (most recent call last):
2022-11-23T01:19:28.7733278Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1112, in run_node
2022-11-23T01:19:28.7733526Z     raise RuntimeError(
2022-11-23T01:19:28.7734048Z RuntimeError: Failed running call_function <built-in method quantize_per_tensor of type object at 0x7efd1fcc4c60>(*(FakeTensor(FakeTensor(..., device='meta', size=(2, 2)), cpu), 0.1, 10, torch.quint8), **{}):
2022-11-23T01:19:28.7734411Z quantized nyi in meta tensors
2022-11-23T01:19:28.7734596Z (scroll up for backtrace)
2022-11-23T01:19:28.7734716Z 
2022-11-23T01:19:28.7734852Z The above exception was the direct cause of the following exception:
2022-11-23T01:19:28.7735017Z 
2022-11-23T01:19:28.7735110Z Traceback (most recent call last):
2022-11-23T01:19:28.7735479Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value
2022-11-23T01:19:28.7735748Z     raise TorchRuntimeError() from e
2022-11-23T01:19:28.7735984Z torch._dynamo.exc.TorchRuntimeError: 
2022-11-23T01:19:28.7736129Z 
2022-11-23T01:19:28.7736200Z from user code:
2022-11-23T01:19:28.7737608Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f
2022-11-23T01:19:28.7737905Z     return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8)
2022-11-23T01:19:28.7738061Z 
2022-11-23T01:19:28.7738195Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:19:28.7738353Z 
2022-11-23T01:19:28.7738358Z 
2022-11-23T01:19:28.7738469Z frames [('total', 1)]
2022-11-23T01:19:28.7738847Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7739081Z ok (0.008s)
2022-11-23T01:19:28.7739429Z   test_update_locals_and_stack_uses_shared_cache (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:28.7739670Z inline_call []
2022-11-23T01:19:28.7739849Z unimplemented []
2022-11-23T01:19:28.7740179Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)]
2022-11-23T01:19:28.7740412Z ok (0.008s)
2022-11-23T01:19:28.7740795Z   test_user_defined_class_name (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7741065Z ok (0.008s)
2022-11-23T01:19:28.7741320Z   test_user_function_variable_supports_enum_argument (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7741597Z ok (0.005s)
2022-11-23T01:19:28.7741853Z   test_user_function_variable_supports_function_argument (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7742238Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7742452Z ok (0.006s)
2022-11-23T01:19:28.7742711Z   test_user_function_variable_supports_type_abcmeta_argument (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7743097Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:28.7743309Z ok (0.006s)
2022-11-23T01:19:28.7743596Z   test_user_getattr1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7743819Z inline_call []
2022-11-23T01:19:28.7744101Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7744327Z ok (0.007s)
2022-11-23T01:19:28.7744614Z   test_user_getattr2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7744838Z inline_call []
2022-11-23T01:19:28.7745121Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7745343Z ok (0.007s)
2022-11-23T01:19:28.7745637Z   test_user_property (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:28.7745848Z inline_call []
2022-11-23T01:19:28.7746142Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7746369Z ok (0.006s)
2022-11-23T01:19:28.7746578Z   test_usr_cls_classmethod (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7746922Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7747144Z ok (0.008s)
2022-11-23T01:19:28.7747356Z   test_usr_cls_staticmethod (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7747703Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:28.7747926Z ok (0.007s)
2022-11-23T01:19:28.7748132Z   test_version_ci (__main__.MiscTests) ... ok (0.001s)
2022-11-23T01:19:28.7748390Z   test_write_to_closures_in_inlining (__main__.MiscTests) ... inline_call []
2022-11-23T01:19:28.7748744Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:28.7748963Z ok (0.007s)
2022-11-23T01:19:28.7749153Z   test_jit_save (__main__.TestTracer) ... ok (0.040s)
2022-11-23T01:19:28.7749296Z 
2022-11-23T01:19:28.7749496Z ----------------------------------------------------------------------
2022-11-23T01:19:28.7749738Z Ran 149 tests in 2.727s
2022-11-23T01:19:28.7749853Z 
2022-11-23T01:19:28.7749912Z OK (skipped=5)
2022-11-23T01:19:28.7750017Z 
2022-11-23T01:19:28.7750103Z Generating XML reports...
2022-11-23T01:19:28.7750492Z Generated XML report: test-reports/python-unittest/dynamo.test_misc/TEST-MiscTests-20221123011925.xml
2022-11-23T01:19:28.7750979Z Generated XML report: test-reports/python-unittest/dynamo.test_misc/TEST-TestTracer-20221123011925.xml
2022-11-23T01:19:28.7751178Z 
2022-11-23T01:19:28.7751528Z ##[endgroup]
2022-11-23T01:19:28.7751917Z FINISHED PRINTING LOG FILE of dynamo/test_misc (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_misc_lkqjb862)
2022-11-23T01:19:28.7752135Z 
2022-11-23T01:19:30.7238337Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:30.8090524Z Ignoring disabled issues:  []
2022-11-23T01:19:30.8235462Z Running dynamo/test_model_output ... [2022-11-23 01:19:30.823240]
2022-11-23T01:19:30.8237354Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_model_output.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:30.823545]
2022-11-23T01:19:32.6415055Z 
2022-11-23T01:19:32.6415619Z Expand the folded group to see the log file of dynamo/test_model_output
2022-11-23T01:19:32.6416842Z ##[group]PRINTING LOG FILE of dynamo/test_model_output (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_model_output_0_odkiq_)
2022-11-23T01:19:32.6417308Z 
2022-11-23T01:19:32.6417428Z Running tests...
2022-11-23T01:19:32.6418144Z ----------------------------------------------------------------------
2022-11-23T01:19:32.6419155Z Test results will be stored in test-reports/python-unittest/dynamo.test_model_output
2022-11-23T01:19:32.6419570Z   test_pretrained (__main__.TestHFPretrained) ... skip: requires HuggingFace (0.000s)
2022-11-23T01:19:32.6419885Z   test_mo_assign (__main__.TestModelOutput) ... skip: requires HuggingFace (0.001s)
2022-11-23T01:19:32.6420203Z   test_mo_create (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2022-11-23T01:19:32.6420523Z   test_mo_getattr (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2022-11-23T01:19:32.6420831Z   test_mo_getitem (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2022-11-23T01:19:32.6421149Z   test_mo_index (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2022-11-23T01:19:32.6421460Z   test_mo_init (__main__.TestModelOutput) ... skip: requires HuggingFace (0.001s)
2022-11-23T01:19:32.6421775Z   test_mo_tuple (__main__.TestModelOutput) ... skip: requires HuggingFace (0.000s)
2022-11-23T01:19:32.6421948Z 
2022-11-23T01:19:32.6422136Z ----------------------------------------------------------------------
2022-11-23T01:19:32.6422377Z Ran 8 tests in 0.004s
2022-11-23T01:19:32.6422492Z 
2022-11-23T01:19:32.6422562Z OK (skipped=8)
2022-11-23T01:19:32.6422667Z 
2022-11-23T01:19:32.6422738Z Generating XML reports...
2022-11-23T01:19:32.6423177Z Generated XML report: test-reports/python-unittest/dynamo.test_model_output/TEST-TestHFPretrained-20221123011932.xml
2022-11-23T01:19:32.6423721Z Generated XML report: test-reports/python-unittest/dynamo.test_model_output/TEST-TestModelOutput-20221123011932.xml
2022-11-23T01:19:32.6423958Z 
2022-11-23T01:19:32.6424193Z ##[endgroup]
2022-11-23T01:19:32.6424589Z FINISHED PRINTING LOG FILE of dynamo/test_model_output (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_model_output_0_odkiq_)
2022-11-23T01:19:32.6424816Z 
2022-11-23T01:19:34.6297241Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:34.6971561Z Ignoring disabled issues:  []
2022-11-23T01:19:34.7114439Z Running dynamo/test_modules ... [2022-11-23 01:19:34.711151]
2022-11-23T01:19:34.7116934Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:34.711431]
2022-11-23T01:19:37.9469326Z 
2022-11-23T01:19:37.9469894Z Expand the folded group to see the log file of dynamo/test_modules
2022-11-23T01:19:37.9471140Z ##[group]PRINTING LOG FILE of dynamo/test_modules (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_modules_002ozf_6)
2022-11-23T01:19:37.9471533Z 
2022-11-23T01:19:37.9471659Z Running tests...
2022-11-23T01:19:37.9472300Z ----------------------------------------------------------------------
2022-11-23T01:19:37.9472948Z Test results will be stored in test-reports/python-unittest/dynamo.test_modules
2022-11-23T01:19:37.9473533Z   test_basicmodule1 (__main__.NNModuleTests) ... ok (0.373s)
2022-11-23T01:19:37.9474254Z   test_basicmodule2 (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:37.9475162Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:37.9475552Z ok (0.014s)
2022-11-23T01:19:37.9475975Z   test_call_fn_with_non_const_inputs_safe (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9476654Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:37.9477009Z ok (0.015s)
2022-11-23T01:19:37.9477649Z   test_cfgmod (__main__.NNModuleTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:37.9478110Z ok (0.026s)
2022-11-23T01:19:37.9478762Z   test_children (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9479213Z ok (0.019s)
2022-11-23T01:19:37.9479864Z   test_constloop (__main__.NNModuleTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:37.9480474Z ok (0.026s)
2022-11-23T01:19:37.9480926Z   test_densenet (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9481548Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:37.9481934Z ok (0.018s)
2022-11-23T01:19:37.9482314Z   test_enumvalues (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9482934Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:37.9483326Z ok (0.017s)
2022-11-23T01:19:37.9483990Z   test_fnmember (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9484473Z ok (0.012s)
2022-11-23T01:19:37.9485145Z   test_fnmembercmp1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9485636Z ok (0.012s)
2022-11-23T01:19:37.9486321Z   test_fnmembercmp2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9486812Z ok (0.012s)
2022-11-23T01:19:37.9487209Z   test_forward_directly (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9487858Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9488216Z ok (0.019s)
2022-11-23T01:19:37.9488549Z   test_generation_tag (__main__.NNModuleTests) ... ok (0.002s)
2022-11-23T01:19:37.9489191Z   test_hasattr (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9489581Z ok (0.009s)
2022-11-23T01:19:37.9490144Z   test_intarg (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:37.9490558Z ok (0.013s)
2022-11-23T01:19:37.9491145Z   test_iseval1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9491568Z ok (0.011s)
2022-11-23T01:19:37.9492173Z   test_iseval2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9492620Z ok (0.012s)
2022-11-23T01:19:37.9493272Z   test_isnonelayer (__main__.NNModuleTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:37.9493702Z ok (0.010s)
2022-11-23T01:19:37.9494331Z   test_istraining1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9494768Z ok (0.012s)
2022-11-23T01:19:37.9495324Z   test_istraining2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9495756Z ok (0.012s)
2022-11-23T01:19:37.9496368Z   test_layerlist (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:37.9496980Z ok (0.016s)
2022-11-23T01:19:37.9498129Z   test_lazy_module (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:37.9499051Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:37.9500234Z [2022-11-23 01:19:36,875] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7f0d06f80940> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:19:37.9501557Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:37.9502421Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:37.9503413Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:37.9504451Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:37.9505577Z [2022-11-23 01:19:36,900] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7f0d06f80940> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:19:37.9506876Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:37.9507683Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:37.9508184Z frames [('total', 16), ('ok', 14)]
2022-11-23T01:19:37.9509497Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T01:19:37.9510684Z unimplemented [("Guard setup for uninitialized class <class '__main__.LazyModule'>", 2)]
2022-11-23T01:19:37.9511361Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T01:19:37.9512002Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9512405Z ok (0.063s)
2022-11-23T01:19:37.9512798Z   test_module_attribute_precedence (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9513507Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9513908Z ok (0.011s)
2022-11-23T01:19:37.9514299Z   test_module_class_method (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9514910Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:37.9515305Z ok (0.028s)
2022-11-23T01:19:37.9515982Z   test_module_name_string (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:37.9516435Z ok (0.014s)
2022-11-23T01:19:37.9516822Z   test_module_property (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9517409Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:37.9517775Z ok (0.007s)
2022-11-23T01:19:37.9518155Z   test_module_static_method (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9518772Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:37.9519146Z ok (0.028s)
2022-11-23T01:19:37.9519769Z   test_moduledict (__main__.NNModuleTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:37.9520219Z ok (0.011s)
2022-11-23T01:19:37.9520853Z   test_modulelist (__main__.NNModuleTests) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T01:19:37.9521296Z ok (0.103s)
2022-11-23T01:19:37.9521789Z   test_modulemethod1 (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9522420Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:37.9522812Z ok (0.028s)
2022-11-23T01:19:37.9523199Z   test_modulemethod2 (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9523830Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:37.9524229Z ok (0.028s)
2022-11-23T01:19:37.9524930Z   test_nn_moduledict_contains (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:19:37.9525512Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:19:37.9525974Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:37.9526739Z unimplemented [("Guard setup for uninitialized class <class '__main__.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T01:19:37.9527504Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:37.9527857Z ok (0.020s)
2022-11-23T01:19:37.9528217Z   test_parameters1 (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9528839Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:37.9529233Z ok (0.009s)
2022-11-23T01:19:37.9529607Z   test_parameters2 (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9530191Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:37.9530583Z ok (0.009s)
2022-11-23T01:19:37.9531240Z   test_parameters3 (__main__.NNModuleTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:37.9531671Z ok (0.019s)
2022-11-23T01:19:37.9532340Z   test_self_mutating1 (__main__.NNModuleTests) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:37.9532887Z ok (0.040s)
2022-11-23T01:19:37.9533504Z   test_seq (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9533875Z ok (0.019s)
2022-11-23T01:19:37.9534723Z   test_simple_torch_function (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:37.9535528Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:37.9536586Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:37.9537293Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:37.9537746Z inline_call []
2022-11-23T01:19:37.9538303Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9538682Z ok (0.014s)
2022-11-23T01:19:37.9539265Z   test_stringmember (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:37.9539695Z ok (0.012s)
2022-11-23T01:19:37.9540050Z   test_submodules1 (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9540604Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:37.9540965Z ok (0.026s)
2022-11-23T01:19:37.9541329Z   test_submodules2 (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9541929Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:37.9542297Z ok (0.025s)
2022-11-23T01:19:37.9542662Z   test_super1 (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9543231Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9543628Z ok (0.017s)
2022-11-23T01:19:37.9544009Z   test_super_class_method (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9544631Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:37.9545018Z ok (0.008s)
2022-11-23T01:19:37.9545801Z   test_tensorlist (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9546251Z ok (0.012s)
2022-11-23T01:19:37.9547145Z   test_torch_function_with_closure (__main__.NNModuleTests) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:37.9547954Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:37.9548874Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:37.9549589Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:37.9550370Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9550759Z ok (0.009s)
2022-11-23T01:19:37.9551313Z   test_unsupportedmethod (__main__.NNModuleTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:37.9552087Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:37.9552600Z unimplemented []
2022-11-23T01:19:37.9553380Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:37.9554136Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:19:37.9554518Z ok (0.030s)
2022-11-23T01:19:37.9555050Z   test_unsupportedmodule (__main__.NNModuleTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:37.9555799Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:37.9556280Z unimplemented []
2022-11-23T01:19:37.9556948Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:37.9557679Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:19:37.9558058Z ok (0.031s)
2022-11-23T01:19:37.9558445Z   test_viamodulecall (__main__.NNModuleTests) ... inline_call []
2022-11-23T01:19:37.9559077Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:37.9559480Z ok (0.015s)
2022-11-23T01:19:37.9559850Z   test_attr (__main__.OptimizedModuleTest) ... ok (0.002s)
2022-11-23T01:19:37.9560496Z   test_composition (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:37.9560929Z inline_call []
2022-11-23T01:19:37.9561439Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:37.9561839Z ok (0.009s)
2022-11-23T01:19:37.9562445Z   test_composition_with_opt_mod (__main__.OptimizedModuleTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:37.9563101Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:37.9563876Z inline_call [('inline in skipfiles: forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)]
2022-11-23T01:19:37.9564350Z unimplemented []
2022-11-23T01:19:37.9565000Z graph_break [('inline in skipfiles: forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)]
2022-11-23T01:19:37.9565446Z ok (0.011s)
2022-11-23T01:19:37.9565989Z   test_nn_module (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:37.9566625Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:37.9566967Z ok (0.012s)
2022-11-23T01:19:37.9567489Z   test_recursion (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:37.9568114Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:37.9568477Z ok (0.013s)
2022-11-23T01:19:37.9568983Z   test_to (__main__.OptimizedModuleTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:37.9569679Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:37.9570059Z ok (0.033s)
2022-11-23T01:19:37.9570227Z 
2022-11-23T01:19:37.9570592Z ----------------------------------------------------------------------
2022-11-23T01:19:37.9571010Z Ran 54 tests in 1.374s
2022-11-23T01:19:37.9571201Z 
2022-11-23T01:19:37.9571308Z OK
2022-11-23T01:19:37.9571473Z 
2022-11-23T01:19:37.9571603Z Generating XML reports...
2022-11-23T01:19:37.9572334Z Generated XML report: test-reports/python-unittest/dynamo.test_modules/TEST-NNModuleTests-20221123011936.xml
2022-11-23T01:19:37.9573259Z Generated XML report: test-reports/python-unittest/dynamo.test_modules/TEST-OptimizedModuleTest-20221123011936.xml
2022-11-23T01:19:37.9573689Z 
2022-11-23T01:19:37.9574145Z ##[endgroup]
2022-11-23T01:19:37.9574905Z FINISHED PRINTING LOG FILE of dynamo/test_modules (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_modules_002ozf_6)
2022-11-23T01:19:37.9575307Z 
2022-11-23T01:19:39.8888333Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:39.9482969Z Ignoring disabled issues:  []
2022-11-23T01:19:39.9625834Z Running dynamo/test_no_fake_tensors ... [2022-11-23 01:19:39.962331]
2022-11-23T01:19:39.9628108Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_no_fake_tensors.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:39.962616]
2022-11-23T01:19:49.9391244Z 
2022-11-23T01:19:49.9392136Z Expand the folded group to see the log file of dynamo/test_no_fake_tensors
2022-11-23T01:19:49.9408800Z ##[group]PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_q2756z2c)
2022-11-23T01:19:49.9409439Z 
2022-11-23T01:19:49.9409509Z Running tests...
2022-11-23T01:19:49.9409916Z ----------------------------------------------------------------------
2022-11-23T01:19:49.9410339Z Test results will be stored in test-reports/python-unittest/dynamo.test_no_fake_tensors
2022-11-23T01:19:49.9410723Z   test_T_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.342s)
2022-11-23T01:19:49.9411302Z   test_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9411762Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9411994Z ok (0.006s)
2022-11-23T01:19:49.9412284Z   test_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9412706Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9412931Z ok (0.011s)
2022-11-23T01:19:49.9413402Z   test_chunks1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9413720Z ok (0.007s)
2022-11-23T01:19:49.9414204Z   test_const_tuple_add1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9414542Z ok (0.006s)
2022-11-23T01:19:49.9415014Z   test_const_tuple_add2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9415335Z ok (0.007s)
2022-11-23T01:19:49.9415806Z   test_constant1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9416132Z ok (0.006s)
2022-11-23T01:19:49.9416828Z   test_constant2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9417326Z ok (0.006s)
2022-11-23T01:19:49.9417804Z   test_constant3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9418134Z ok (0.005s)
2022-11-23T01:19:49.9418585Z   test_constant4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9418910Z ok (0.005s)
2022-11-23T01:19:49.9419392Z   test_default_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9419723Z ok (0.008s)
2022-11-23T01:19:49.9420241Z   test_del_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9420563Z ok (0.006s)
2022-11-23T01:19:49.9421048Z   test_device_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9421379Z ok (0.006s)
2022-11-23T01:19:49.9421851Z   test_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9422176Z ok (0.005s)
2022-11-23T01:19:49.9422646Z   test_dict_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9422966Z ok (0.005s)
2022-11-23T01:19:49.9423441Z   test_dict_ops_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:49.9423767Z ok (0.011s)
2022-11-23T01:19:49.9424246Z   test_dict_param_keys_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9424562Z ok (0.005s)
2022-11-23T01:19:49.9425053Z   test_dtype_compare_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9425386Z ok (0.006s)
2022-11-23T01:19:49.9425836Z   test_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9426162Z ok (0.005s)
2022-11-23T01:19:49.9426632Z   test_finfo_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9426957Z ok (0.006s)
2022-11-23T01:19:49.9427411Z   test_float_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9427731Z ok (0.005s)
2022-11-23T01:19:49.9428212Z   test_fn_with_self_set_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9428550Z ok (0.008s)
2022-11-23T01:19:49.9429009Z   test_fstrings1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9429339Z ok (0.005s)
2022-11-23T01:19:49.9429841Z   test_fstrings2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9430149Z ok (0.005s)
2022-11-23T01:19:49.9430624Z   test_fstrings3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9430949Z ok (0.005s)
2022-11-23T01:19:49.9431248Z   test_funcdef_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9431656Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:19:49.9431889Z ok (0.010s)
2022-11-23T01:19:49.9432364Z   test_globalfn_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9432722Z ok (0.005s)
2022-11-23T01:19:49.9433187Z   test_globalmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9433599Z ok (0.006s)
2022-11-23T01:19:49.9434081Z   test_globalvar_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9434394Z ok (0.005s)
2022-11-23T01:19:49.9434862Z   test_import1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9435194Z ok (0.006s)
2022-11-23T01:19:49.9435668Z   test_indirect1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9435988Z ok (0.005s)
2022-11-23T01:19:49.9436463Z   test_indirect2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9436793Z ok (0.005s)
2022-11-23T01:19:49.9437249Z   test_indirect3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9437582Z ok (0.005s)
2022-11-23T01:19:49.9437892Z   test_inline_jit_annotations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9438318Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9438533Z ok (0.007s)
2022-11-23T01:19:49.9439012Z   test_inline_softmax_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9439351Z ok (0.006s)
2022-11-23T01:19:49.9439659Z   test_inline_with_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9440064Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9440291Z ok (0.006s)
2022-11-23T01:19:49.9440591Z   test_inner_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9440999Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9441228Z ok (0.005s)
2022-11-23T01:19:49.9441734Z   test_is_contiguous_memory_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9442082Z ok (0.005s)
2022-11-23T01:19:49.9442591Z   test_is_fx_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9442922Z ok (0.005s)
2022-11-23T01:19:49.9443404Z   test_is_in_onnx_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9443725Z ok (0.005s)
2022-11-23T01:19:49.9444204Z   test_is_not_null_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9444535Z ok (0.005s)
2022-11-23T01:19:49.9445014Z   test_is_quantized_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9445365Z ok (0.005s)
2022-11-23T01:19:49.9445838Z   test_is_sparse_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9446167Z ok (0.004s)
2022-11-23T01:19:49.9446657Z   test_islice_chain_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:49.9446973Z ok (0.009s)
2022-11-23T01:19:49.9447446Z   test_jit_annotate_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9447767Z ok (0.006s)
2022-11-23T01:19:49.9448237Z   test_len_constant_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9448573Z ok (0.005s)
2022-11-23T01:19:49.9449058Z   test_len_constant_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9449395Z ok (0.005s)
2022-11-23T01:19:49.9449879Z   test_len_constant_misc_iterables_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9450227Z ok (0.005s)
2022-11-23T01:19:49.9450703Z   test_len_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9451033Z ok (0.005s)
2022-11-23T01:19:49.9451497Z   test_list_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9451824Z ok (0.005s)
2022-11-23T01:19:49.9452302Z   test_list_clear_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9452633Z ok (0.007s)
2022-11-23T01:19:49.9453096Z   test_list_convert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9453425Z ok (0.007s)
2022-11-23T01:19:49.9453905Z   test_list_reversed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9454220Z ok (0.007s)
2022-11-23T01:19:49.9454704Z   test_list_slice_assignment_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9455042Z ok (0.006s)
2022-11-23T01:19:49.9455554Z   test_list_truth_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9455873Z ok (0.006s)
2022-11-23T01:19:49.9456347Z   test_listarg1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9456928Z ok (0.006s)
2022-11-23T01:19:49.9457406Z   test_listarg2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9457717Z ok (0.005s)
2022-11-23T01:19:49.9458188Z   test_listarg3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9458588Z ok (0.006s)
2022-11-23T01:19:49.9459044Z   test_listarg4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9459367Z ok (0.005s)
2022-11-23T01:19:49.9459843Z   test_listarg5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9460165Z ok (0.006s)
2022-11-23T01:19:49.9460629Z   test_load_global_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9460960Z ok (0.005s)
2022-11-23T01:19:49.9461252Z   test_map_sum_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9461676Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:49.9461890Z ok (0.011s)
2022-11-23T01:19:49.9462186Z   test_methodcall1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9462603Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9462817Z ok (0.007s)
2022-11-23T01:19:49.9463113Z   test_methodcall2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9463524Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9463733Z ok (0.007s)
2022-11-23T01:19:49.9464025Z   test_methodcall3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9464442Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9464663Z ok (0.006s)
2022-11-23T01:19:49.9465122Z   test_min_max_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:19:49.9465445Z ok (0.010s)
2022-11-23T01:19:49.9465925Z   test_module_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9466267Z ok (0.008s)
2022-11-23T01:19:49.9466723Z   test_ndim_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9467046Z ok (0.005s)
2022-11-23T01:19:49.9467509Z   test_pop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9467825Z ok (0.008s)
2022-11-23T01:19:49.9468334Z   test_reduce_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9468660Z ok (0.007s)
2022-11-23T01:19:49.9469136Z   test_return_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9469452Z ok (0.007s)
2022-11-23T01:19:49.9469929Z   test_return_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9470256Z ok (0.007s)
2022-11-23T01:19:49.9470720Z   test_return_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9471083Z ok (0.006s)
2022-11-23T01:19:49.9471566Z   test_return_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9471896Z ok (0.005s)
2022-11-23T01:19:49.9472353Z   test_shape1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9472679Z ok (0.005s)
2022-11-23T01:19:49.9473143Z   test_shape2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9473552Z ok (0.005s)
2022-11-23T01:19:49.9474006Z   test_slice1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9474325Z ok (0.005s)
2022-11-23T01:19:49.9474794Z   test_slice2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9475116Z ok (0.004s)
2022-11-23T01:19:49.9475573Z   test_slice3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9475890Z ok (0.005s)
2022-11-23T01:19:49.9476353Z   test_slice4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9476664Z ok (0.004s)
2022-11-23T01:19:49.9477130Z   test_slice5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9477452Z ok (0.005s)
2022-11-23T01:19:49.9477919Z   test_slice6_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9478228Z ok (0.006s)
2022-11-23T01:19:49.9478704Z   test_startswith_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9479041Z ok (0.006s)
2022-11-23T01:19:49.9479496Z   test_tensor_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9479817Z ok (0.006s)
2022-11-23T01:19:49.9480309Z   test_tensor_new_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9480650Z ok (0.006s)
2022-11-23T01:19:49.9481167Z   test_tensor_new_with_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9481505Z ok (0.006s)
2022-11-23T01:19:49.9481993Z   test_transpose_for_scores_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9482330Z ok (0.006s)
2022-11-23T01:19:49.9482782Z   test_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9483102Z ok (0.005s)
2022-11-23T01:19:49.9483614Z   test_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9483940Z ok (0.005s)
2022-11-23T01:19:49.9484405Z   test_tuple_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9484739Z ok (0.005s)
2022-11-23T01:19:49.9485217Z   test_tuple_iadd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9485528Z ok (0.006s)
2022-11-23T01:19:49.9485999Z   test_unpack1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9486322Z ok (0.006s)
2022-11-23T01:19:49.9486796Z   test_unpack2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9487106Z ok (0.005s)
2022-11-23T01:19:49.9487572Z   test_unpack3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9487897Z ok (0.006s)
2022-11-23T01:19:49.9488371Z   test_unpack_ex1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9488680Z ok (0.006s)
2022-11-23T01:19:49.9489150Z   test_unpack_ex2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9489475Z ok (0.006s)
2022-11-23T01:19:49.9489930Z   test_unpack_ex3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9490261Z ok (0.006s)
2022-11-23T01:19:49.9490736Z   test_viamethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9491064Z ok (0.005s)
2022-11-23T01:19:49.9491522Z   test_viatorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9491849Z ok (0.005s)
2022-11-23T01:19:49.9492265Z   test_allow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9492691Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9492908Z ok (0.007s)
2022-11-23T01:19:49.9493421Z   test_autocast_cpu_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:49.9493759Z ok (0.011s)
2022-11-23T01:19:49.9494058Z   test_autocast_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:49.9494517Z   test_autocast_float64_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:49.9494952Z   test_autocast_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:49.9495395Z   test_autograd_function_equivalence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9495863Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9496090Z ok (0.010s)
2022-11-23T01:19:49.9496868Z   test_autograd_profiler_enabled_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:19:42 1919:1919 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:49.9497445Z STAGE:2022-11-23 01:19:42 1919:1919 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:49.9497892Z STAGE:2022-11-23 01:19:42 1919:1919 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:49.9498210Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9498401Z unimplemented []
2022-11-23T01:19:49.9498694Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)]
2022-11-23T01:19:49.9499060Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:49.9499291Z ok (0.012s)
2022-11-23T01:19:49.9499828Z   test_autograd_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:19:42 1919:1919 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:49.9500366Z STAGE:2022-11-23 01:19:42 1919:1919 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:49.9500810Z STAGE:2022-11-23 01:19:42 1919:1919 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:49.9501227Z [2022-11-23 01:19:42,503] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:49.9501512Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9501703Z unimplemented []
2022-11-23T01:19:49.9501939Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:49.9502262Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9502478Z ok (0.014s)
2022-11-23T01:19:49.9502953Z   test_boolarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:49.9503282Z ok (0.010s)
2022-11-23T01:19:49.9503574Z   test_build_tuple_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9503992Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9504228Z ok (0.010s)
2022-11-23T01:19:49.9504711Z   test_builtin_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9505034Z ok (0.006s)
2022-11-23T01:19:49.9505357Z   test_builtin_subclasses_as_method_on_class_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:49.9505812Z   test_builtin_subclasses_as_method_on_var_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:19:49.9506506Z   test_callpacked_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9506827Z ok (0.008s)
2022-11-23T01:19:49.9507242Z   test_cell_output1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9507670Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9507891Z ok (0.004s)
2022-11-23T01:19:49.9508299Z   test_cell_output2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9508599Z unimplemented []
2022-11-23T01:19:49.9508988Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:49.9509469Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9509700Z ok (0.008s)
2022-11-23T01:19:49.9510190Z   test_change_backends_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:49.9510561Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9510741Z ok (0.019s)
2022-11-23T01:19:49.9511219Z   test_cond_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:19:49.9511548Z ok (0.024s)
2022-11-23T01:19:49.9512028Z   test_cond_export_single_arg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)]
2022-11-23T01:19:49.9512376Z ok (0.013s)
2022-11-23T01:19:49.9512810Z   test_cond_nested_fake_tensor_off_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9513242Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:19:49.9513537Z ok (0.023s)
2022-11-23T01:19:49.9513955Z   test_cond_nested_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9514377Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:19:49.9514591Z ok (0.023s)
2022-11-23T01:19:49.9515003Z   test_cond_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9515418Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:49.9515629Z ok (0.013s)
2022-11-23T01:19:49.9516172Z   test_config_getattr_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9516615Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)]
2022-11-23T01:19:49.9516846Z ok (0.027s)
2022-11-23T01:19:49.9517251Z   test_config_log_level_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9517681Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9517906Z ok (0.005s)
2022-11-23T01:19:49.9518306Z   test_config_obj_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:49.9518727Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:19:49.9518961Z ok (0.019s)
2022-11-23T01:19:49.9519274Z   test_const_dict_variable_python_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:49.9520096Z   test_cross_entropy_loss_fancy_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T01:19:49.9520598Z   warnings.warn(warning.format(ret))
2022-11-23T01:19:49.9520799Z ok (0.002s)
2022-11-23T01:19:49.9521113Z   test_cross_entropy_loss_simple_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:49.9521657Z   test_dataclass_fields_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9521964Z inline_call []
2022-11-23T01:19:49.9522267Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:49.9522521Z ok (0.038s)
2022-11-23T01:19:49.9523055Z   test_dict_mutation_side_effect_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9523498Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9523726Z ok (0.006s)
2022-11-23T01:19:49.9524170Z   test_dict_reconstruct_keeps_original_order_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 13), ('ok', 12)]
2022-11-23T01:19:49.9524700Z unimplemented [("Guard setup for uninitialized class <class 'torch.nn.modules.container.ModuleDict'>", 1)]
2022-11-23T01:19:49.9565702Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.10/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)]
2022-11-23T01:19:49.9566416Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:49.9566656Z ok (0.039s)
2022-11-23T01:19:49.9567057Z   test_dictcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9567360Z inline_call []
2022-11-23T01:19:49.9567662Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9567894Z ok (0.007s)
2022-11-23T01:19:49.9568188Z   test_disable_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:49.9568734Z   test_disallow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9569048Z unimplemented []
2022-11-23T01:19:49.9569418Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)]
2022-11-23T01:19:49.9569837Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9570068Z ok (0.010s)
2022-11-23T01:19:49.9570373Z   test_dunder_methods_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9570777Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9571005Z ok (0.032s)
2022-11-23T01:19:49.9571319Z   test_duplicate_graph_break_warning_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... break
2022-11-23T01:19:49.9571598Z break
2022-11-23T01:19:49.9571808Z frames [('total', 9), ('ok', 9)]
2022-11-23T01:19:49.9572144Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)]
2022-11-23T01:19:49.9572394Z unimplemented []
2022-11-23T01:19:49.9572723Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)]
2022-11-23T01:19:49.9573258Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)]
2022-11-23T01:19:49.9573489Z ok (0.038s)
2022-11-23T01:19:49.9573790Z   test_dynamo_min_operator_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:19:49.9574346Z   test_empty_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9574767Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:49.9574983Z ok (0.012s)
2022-11-23T01:19:49.9575480Z   test_enum_no_graphbreaks_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:49.9575884Z ok (0.014s)
2022-11-23T01:19:49.9576324Z   test_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9576973Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9577203Z ok (0.005s)
2022-11-23T01:19:49.9577669Z   test_fold_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9577999Z ok (0.004s)
2022-11-23T01:19:49.9578492Z   test_frozenset_torch_func_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:49.9578840Z ok (0.008s)
2022-11-23T01:19:49.9579334Z   test_function_annotation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:49.9579662Z ok (0.008s)
2022-11-23T01:19:49.9580148Z   test_generate_tensor_from_list_of_numpy_primitive_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9580489Z unimplemented []
2022-11-23T01:19:49.9580714Z graph_break [('numpy', 1)]
2022-11-23T01:19:49.9581017Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9581246Z ok (0.008s)
2022-11-23T01:19:49.9581674Z   test_grad_mode_guard_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9581967Z unimplemented []
2022-11-23T01:19:49.9582204Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:49.9582527Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9582749Z ok (0.011s)
2022-11-23T01:19:49.9583153Z   test_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9583449Z unimplemented []
2022-11-23T01:19:49.9583691Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:19:49.9584003Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9584234Z ok (0.010s)
2022-11-23T01:19:49.9584646Z   test_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9584935Z unimplemented []
2022-11-23T01:19:49.9585310Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 2)]
2022-11-23T01:19:49.9585712Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:19:49.9585926Z ok (0.015s)
2022-11-23T01:19:49.9586410Z   test_id_of_nn_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:49.9586748Z ok (0.010s)
2022-11-23T01:19:49.9587285Z   test_if_cond_nn_mod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:49.9587610Z ok (0.010s)
2022-11-23T01:19:49.9588033Z   test_inference_mode_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9588460Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9588692Z ok (0.005s)
2022-11-23T01:19:49.9589107Z   test_inline_dict_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9589415Z inline_call []
2022-11-23T01:19:49.9589761Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9589972Z ok (0.006s)
2022-11-23T01:19:49.9590426Z   test_inline_func_jump_on_tensor_condition_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:49.9590830Z inline_call [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:49.9591038Z unimplemented []
2022-11-23T01:19:49.9591306Z graph_break [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:49.9591645Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:49.9591870Z ok (0.011s)
2022-11-23T01:19:49.9592280Z   test_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9592586Z inline_call []
2022-11-23T01:19:49.9592887Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9593102Z ok (0.005s)
2022-11-23T01:19:49.9593676Z   test_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9594015Z ok (0.005s)
2022-11-23T01:19:49.9594513Z   test_inplace_param_update_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9594837Z ok (0.006s)
2022-11-23T01:19:49.9595324Z   test_is_floating_point2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9595655Z ok (0.005s)
2022-11-23T01:19:49.9596128Z   test_is_floating_point_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9596462Z ok (0.005s)
2022-11-23T01:19:49.9596874Z   test_is_tensor2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9597295Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:49.9597515Z ok (0.008s)
2022-11-23T01:19:49.9597929Z   test_is_tensor_like2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9598231Z unimplemented []
2022-11-23T01:19:49.9598543Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)]
2022-11-23T01:19:49.9598921Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:49.9599148Z ok (0.010s)
2022-11-23T01:19:49.9599626Z   test_is_tensor_like_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:49.9599948Z ok (0.007s)
2022-11-23T01:19:49.9600453Z   test_is_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9600779Z ok (0.005s)
2022-11-23T01:19:49.9601264Z   test_item_changes_new_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:49.9601602Z ok (0.009s)
2022-11-23T01:19:49.9602085Z   test_item_changes_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:49.9602418Z ok (0.009s)
2022-11-23T01:19:49.9602867Z   test_item_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9603228Z ok (0.005s)
2022-11-23T01:19:49.9603535Z   test_large_reduction_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.013s)
2022-11-23T01:19:49.9603954Z   test_linetable_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:49.9604494Z   test_list_append_return_none_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9604938Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9605165Z ok (0.006s)
2022-11-23T01:19:49.9605559Z   test_list_mul_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9605847Z ok (0.002s)
2022-11-23T01:19:49.9606256Z   test_listcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9606552Z inline_call []
2022-11-23T01:19:49.9606838Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9607062Z ok (0.008s)
2022-11-23T01:19:49.9607387Z   test_lnotab_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: use lnotab when python < 3.10 (0.000s)
2022-11-23T01:19:49.9607996Z   test_manual_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9608327Z ok (0.007s)
2022-11-23T01:19:49.9608795Z   test_matmul1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9609122Z ok (0.004s)
2022-11-23T01:19:49.9609410Z   test_module_complex_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.010s)
2022-11-23T01:19:49.9609960Z   test_module_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:49.9610268Z unimplemented []
2022-11-23T01:19:49.9610592Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 2)]
2022-11-23T01:19:49.9610824Z inline_call []
2022-11-23T01:19:49.9611125Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9611355Z ok (0.038s)
2022-11-23T01:19:49.9611642Z   test_named_parameters_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.017s)
2022-11-23T01:19:49.9612176Z   test_namedtuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9612604Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9612835Z ok (0.006s)
2022-11-23T01:19:49.9613271Z   test_namedtuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9613694Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9613918Z ok (0.006s)
2022-11-23T01:19:49.9614316Z   test_namedtuple3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9614748Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9614972Z ok (0.005s)
2022-11-23T01:19:49.9615355Z   test_nan_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9615798Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9616021Z ok (0.004s)
2022-11-23T01:19:49.9616337Z   test_nested_closure_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9616937Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)]
2022-11-23T01:19:49.9617163Z ok (0.013s)
2022-11-23T01:19:49.9617462Z   test_nested_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9617871Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)]
2022-11-23T01:19:49.9618101Z ok (0.015s)
2022-11-23T01:19:49.9618703Z   test_nested_disable_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:19:43,298] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 
2022-11-23T01:19:49.9619109Z due to: 
2022-11-23T01:19:49.9619284Z Traceback (most recent call last):
2022-11-23T01:19:49.9619660Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented
2022-11-23T01:19:49.9619937Z     raise Unsupported(msg)
2022-11-23T01:19:49.9620280Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7f0985a6c4c0>
2022-11-23T01:19:49.9620540Z 
2022-11-23T01:19:49.9620613Z from user code:
2022-11-23T01:19:49.9620860Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3
2022-11-23T01:19:49.9621101Z     return fn2(x)
2022-11-23T01:19:49.9621337Z   File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2
2022-11-23T01:19:49.9621583Z     x = fn1(x)  # graph break
2022-11-23T01:19:49.9621701Z 
2022-11-23T01:19:49.9621831Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:19:49.9621994Z 
2022-11-23T01:19:49.9621998Z 
2022-11-23T01:19:49.9622123Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9622300Z unimplemented []
2022-11-23T01:19:49.9622730Z graph_break [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7f0985a6c4c0>', 1)]
2022-11-23T01:19:49.9623161Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9623631Z inline_call [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7f0985a6c4c0>', 1)]
2022-11-23T01:19:49.9623938Z ok (0.010s)
2022-11-23T01:19:49.9624253Z   test_nested_optimize_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9624679Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9624890Z ok (0.008s)
2022-11-23T01:19:49.9625379Z   test_nested_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:49.9625788Z ok (0.011s)
2022-11-23T01:19:49.9626267Z   test_nested_optimize_run_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:49.9626605Z ok (0.010s)
2022-11-23T01:19:49.9626916Z   test_nn_sequential_invocation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9627345Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9627559Z ok (0.010s)
2022-11-23T01:19:49.9627891Z   test_nn_sequential_invocation_reposition_indices_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9628393Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9628605Z ok (0.009s)
2022-11-23T01:19:49.9629045Z   test_no_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9629483Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9629712Z ok (0.005s)
2022-11-23T01:19:49.9630174Z   test_no_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)]
2022-11-23T01:19:49.9630506Z ok (0.040s)
2022-11-23T01:19:49.9630982Z   test_numel_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9631290Z ok (0.006s)
2022-11-23T01:19:49.9631718Z   test_numpy_int_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9632147Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9632377Z ok (0.005s)
2022-11-23T01:19:49.9632801Z   test_numpy_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9633240Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9633542Z ok (0.004s)
2022-11-23T01:19:49.9633837Z   test_object_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9634269Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9634494Z ok (0.005s)
2022-11-23T01:19:49.9634802Z   test_object_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9635217Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9635446Z ok (0.005s)
2022-11-23T01:19:49.9635945Z   test_onnx_shape_as_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)]
2022-11-23T01:19:49.9636270Z ok (0.019s)
2022-11-23T01:19:49.9636762Z   test_optimize_on_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9637100Z ok (0.004s)
2022-11-23T01:19:49.9637569Z   test_pair_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9637880Z ok (0.008s)
2022-11-23T01:19:49.9638296Z   test_python_slice_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9638633Z ok (0.006s)
2022-11-23T01:19:49.9639054Z   test_raise_on_backend_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1)]
2022-11-23T01:19:49.9639434Z stats [('calls_captured', 3), ('fusions_possible', 2)]
2022-11-23T01:19:49.9639642Z ok (0.004s)
2022-11-23T01:19:49.9640047Z   test_raises_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9640334Z unimplemented []
2022-11-23T01:19:49.9640653Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)]
2022-11-23T01:19:49.9641025Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9641238Z ok (0.007s)
2022-11-23T01:19:49.9641577Z   test_rand_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:49.9642006Z   test_range_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9642423Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9642637Z ok (0.006s)
2022-11-23T01:19:49.9643077Z   test_recursive_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9643386Z inline_call []
2022-11-23T01:19:49.9643671Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:49.9643900Z ok (0.013s)
2022-11-23T01:19:49.9644329Z   test_release_input_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9644768Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9644981Z ok (0.003s)
2022-11-23T01:19:49.9645417Z   test_release_module_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9645849Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9646061Z ok (0.004s)
2022-11-23T01:19:49.9646583Z   test_repro_graph_breaks_in__get_item_by_idx_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9646936Z ok (0.005s)
2022-11-23T01:19:49.9647369Z   test_return_nested_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9647791Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2022-11-23T01:19:49.9648017Z ok (0.011s)
2022-11-23T01:19:49.9648313Z   test_sample_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.667s)
2022-11-23T01:19:49.9648853Z   test_setattr_mutation1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9649358Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)]
2022-11-23T01:19:49.9649881Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) <class 'torch.Tensor'>", 1)]
2022-11-23T01:19:49.9650232Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9650535Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:19:49.9650764Z ok (0.013s)
2022-11-23T01:19:49.9651185Z   test_setattr_mutation2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9651492Z inline_call []
2022-11-23T01:19:49.9651818Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:49.9652048Z ok (0.010s)
2022-11-23T01:19:49.9652471Z   test_setattr_mutation3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9652760Z inline_call []
2022-11-23T01:19:49.9653057Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:49.9653290Z ok (0.011s)
2022-11-23T01:19:49.9653696Z   test_shape_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9654131Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9654357Z ok (0.004s)
2022-11-23T01:19:49.9654809Z   test_side_effects_codegen_update_mutated_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 6), ('ok', 6)]
2022-11-23T01:19:49.9655159Z unimplemented []
2022-11-23T01:19:49.9655395Z graph_break [('Tensor.item', 4)]
2022-11-23T01:19:49.9655715Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:19:49.9655926Z ok (0.024s)
2022-11-23T01:19:49.9656336Z   test_size_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9656955Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:19:49.9657188Z ok (0.007s)
2022-11-23T01:19:49.9657650Z   test_slice_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:19:49.9657978Z ok (0.018s)
2022-11-23T01:19:49.9658415Z   test_tensor_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9658840Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9659076Z ok (0.016s)
2022-11-23T01:19:49.9659553Z   test_tensor_data_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9659881Z ok (0.005s)
2022-11-23T01:19:49.9660279Z   test_tensor_dict1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9660707Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9660940Z ok (0.005s)
2022-11-23T01:19:49.9661338Z   test_tensor_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9661757Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:49.9661983Z ok (0.016s)
2022-11-23T01:19:49.9662428Z   test_tensor_dot_grad_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9662734Z unimplemented []
2022-11-23T01:19:49.9662972Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:19:49.9663300Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:49.9663512Z ok (0.012s)
2022-11-23T01:19:49.9663941Z   test_tensor_is_contiguous_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9664372Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:49.9664583Z ok (0.012s)
2022-11-23T01:19:49.9665007Z   test_tensor_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9665499Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9665732Z ok (0.005s)
2022-11-23T01:19:49.9666149Z   test_tensor_item_no_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9666462Z unimplemented []
2022-11-23T01:19:49.9666697Z graph_break [('Tensor.item', 1)]
2022-11-23T01:19:49.9667004Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9667228Z ok (0.005s)
2022-11-23T01:19:49.9667705Z   test_tensor_layout_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9668035Z ok (0.006s)
2022-11-23T01:19:49.9668438Z   test_tensor_types_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 10), ('ok', 10)]
2022-11-23T01:19:49.9668909Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)]
2022-11-23T01:19:49.9669136Z ok (0.028s)
2022-11-23T01:19:49.9669613Z   test_top_package_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9669951Z ok (0.005s)
2022-11-23T01:19:49.9670446Z   test_torch_cuda_is_available_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9670796Z ok (0.004s)
2022-11-23T01:19:49.9671222Z   test_torch_nn_parameter_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9671676Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9671905Z ok (0.006s)
2022-11-23T01:19:49.9672427Z   test_torch_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:19:44 1919:1919 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:19:49.9672974Z STAGE:2022-11-23 01:19:44 1919:1919 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:19:49.9673486Z STAGE:2022-11-23 01:19:44 1919:1919 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:19:49.9673908Z [2022-11-23 01:19:44,391] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:49.9674294Z [2022-11-23 01:19:44,392] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:19:49.9674593Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9674788Z unimplemented []
2022-11-23T01:19:49.9675031Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:19:49.9675342Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9675570Z ok (0.015s)
2022-11-23T01:19:49.9676056Z   test_torch_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9676372Z ok (0.006s)
2022-11-23T01:19:49.9676851Z   test_torch_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9677177Z ok (0.005s)
2022-11-23T01:19:49.9677593Z   test_type_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9678004Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:49.9678233Z ok (0.010s)
2022-11-23T01:19:49.9678674Z   test_typing_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9679207Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9679470Z ok (0.005s)
2022-11-23T01:19:49.9679943Z   test_unpack4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9680271Z ok (0.007s)
2022-11-23T01:19:49.9680723Z   test_unpack5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9681053Z ok (0.007s)
2022-11-23T01:19:49.9681654Z   test_unsupported_fake_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:19:44,446] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 
2022-11-23T01:19:49.9682095Z due to: 
2022-11-23T01:19:49.9682273Z Traceback (most recent call last):
2022-11-23T01:19:49.9682631Z   File "/opt/conda/lib/python3.10/site-packages/torch/_ops.py", line 107, in resolve_key
2022-11-23T01:19:49.9682976Z     raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}")
2022-11-23T01:19:49.9683340Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta
2022-11-23T01:19:49.9683562Z 
2022-11-23T01:19:49.9683700Z During handling of the above exception, another exception occurred:
2022-11-23T01:19:49.9683872Z 
2022-11-23T01:19:49.9683970Z Traceback (most recent call last):
2022-11-23T01:19:49.9684363Z   File "/opt/conda/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 213, in from_real_tensor
2022-11-23T01:19:49.9684715Z     raise UnsupportedFakeTensorException("quantized nyi in meta tensors")
2022-11-23T01:19:49.9685091Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors
2022-11-23T01:19:49.9685309Z 
2022-11-23T01:19:49.9685450Z The above exception was the direct cause of the following exception:
2022-11-23T01:19:49.9685617Z 
2022-11-23T01:19:49.9685697Z Traceback (most recent call last):
2022-11-23T01:19:49.9686061Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1112, in run_node
2022-11-23T01:19:49.9686405Z     raise RuntimeError(
2022-11-23T01:19:49.9686927Z RuntimeError: Failed running call_function <built-in method quantize_per_tensor of type object at 0x7f09fee47c60>(*(FakeTensor(FakeTensor(..., device='meta', size=(2, 2)), cpu), 0.1, 10, torch.quint8), **{}):
2022-11-23T01:19:49.9687274Z quantized nyi in meta tensors
2022-11-23T01:19:49.9687474Z (scroll up for backtrace)
2022-11-23T01:19:49.9687595Z 
2022-11-23T01:19:49.9687735Z The above exception was the direct cause of the following exception:
2022-11-23T01:19:49.9687903Z 
2022-11-23T01:19:49.9687981Z Traceback (most recent call last):
2022-11-23T01:19:49.9688358Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value
2022-11-23T01:19:49.9688647Z     raise TorchRuntimeError() from e
2022-11-23T01:19:49.9688888Z torch._dynamo.exc.TorchRuntimeError: 
2022-11-23T01:19:49.9689022Z 
2022-11-23T01:19:49.9689095Z from user code:
2022-11-23T01:19:49.9689336Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f
2022-11-23T01:19:49.9689623Z     return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8)
2022-11-23T01:19:49.9689780Z 
2022-11-23T01:19:49.9689894Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:19:49.9690054Z 
2022-11-23T01:19:49.9690058Z 
2022-11-23T01:19:49.9690166Z frames [('total', 1)]
2022-11-23T01:19:49.9690477Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9690710Z ok (0.009s)
2022-11-23T01:19:49.9691164Z   test_update_locals_and_stack_uses_shared_cache_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9691530Z inline_call []
2022-11-23T01:19:49.9691715Z unimplemented []
2022-11-23T01:19:49.9692030Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)]
2022-11-23T01:19:49.9692277Z ok (0.008s)
2022-11-23T01:19:49.9692772Z   test_user_defined_class_name_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9693111Z ok (0.007s)
2022-11-23T01:19:49.9693437Z   test_user_function_variable_supports_enum_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9693752Z ok (0.005s)
2022-11-23T01:19:49.9694088Z   test_user_function_variable_supports_function_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9694555Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9694786Z ok (0.005s)
2022-11-23T01:19:49.9695131Z   test_user_function_variable_supports_type_abcmeta_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9695583Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9695796Z ok (0.005s)
2022-11-23T01:19:49.9696213Z   test_user_getattr1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9696681Z inline_call []
2022-11-23T01:19:49.9696969Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9697197Z ok (0.005s)
2022-11-23T01:19:49.9697610Z   test_user_getattr2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9697922Z inline_call []
2022-11-23T01:19:49.9698216Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9698445Z ok (0.006s)
2022-11-23T01:19:49.9698863Z   test_user_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9699147Z inline_call []
2022-11-23T01:19:49.9699452Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9699755Z ok (0.005s)
2022-11-23T01:19:49.9700049Z   test_usr_cls_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9700476Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9700704Z ok (0.006s)
2022-11-23T01:19:49.9701020Z   test_usr_cls_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9701432Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9701657Z ok (0.006s)
2022-11-23T01:19:49.9701950Z   test_version_ci_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:49.9702364Z   test_write_to_closures_in_inlining_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9702799Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9703026Z ok (0.007s)
2022-11-23T01:19:49.9703513Z   test_basicmodule1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9703837Z ok (0.008s)
2022-11-23T01:19:49.9704395Z   test_basicmodule2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9704733Z ok (0.008s)
2022-11-23T01:19:49.9705040Z   test_call_fn_with_non_const_inputs_safe_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9705468Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9705693Z ok (0.009s)
2022-11-23T01:19:49.9706166Z   test_cfgmod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:49.9706476Z ok (0.012s)
2022-11-23T01:19:49.9706947Z   test_children_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9707313Z ok (0.009s)
2022-11-23T01:19:49.9707772Z   test_constloop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:49.9708100Z ok (0.011s)
2022-11-23T01:19:49.9708393Z   test_densenet_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9708805Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:49.9709018Z ok (0.013s)
2022-11-23T01:19:49.9709315Z   test_enumvalues_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9709732Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:49.9709942Z ok (0.012s)
2022-11-23T01:19:49.9710412Z   test_fnmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9710738Z ok (0.007s)
2022-11-23T01:19:49.9711216Z   test_fnmembercmp1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9711533Z ok (0.007s)
2022-11-23T01:19:49.9712005Z   test_fnmembercmp2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9712328Z ok (0.007s)
2022-11-23T01:19:49.9712632Z   test_forward_directly_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9713040Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9713266Z ok (0.010s)
2022-11-23T01:19:49.9713633Z   test_generation_tag_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:49.9714215Z   test_hasattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9714546Z ok (0.007s)
2022-11-23T01:19:49.9715025Z   test_intarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9715350Z ok (0.007s)
2022-11-23T01:19:49.9715804Z   test_iseval1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9716131Z ok (0.007s)
2022-11-23T01:19:49.9716596Z   test_iseval2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9716915Z ok (0.007s)
2022-11-23T01:19:49.9717418Z   test_isnonelayer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9717748Z ok (0.006s)
2022-11-23T01:19:49.9718218Z   test_istraining1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9718533Z ok (0.007s)
2022-11-23T01:19:49.9719010Z   test_istraining2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9719329Z ok (0.007s)
2022-11-23T01:19:49.9719807Z   test_layerlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9720172Z ok (0.008s)
2022-11-23T01:19:49.9720855Z   test_lazy_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:49.9721448Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:49.9722122Z [2022-11-23 01:19:44,700] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7f0992384700> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:19:49.9722877Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:49.9723362Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:49.9723931Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:49.9724413Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:49.9725075Z [2022-11-23 01:19:44,723] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7f0992384700> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:19:49.9725806Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:19:49.9726293Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:19:49.9726587Z frames [('total', 16), ('ok', 14)]
2022-11-23T01:19:49.9727329Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T01:19:49.9727987Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.LazyModule'>", 2)]
2022-11-23T01:19:49.9728403Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T01:19:49.9728773Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9729004Z ok (0.043s)
2022-11-23T01:19:49.9729313Z   test_module_attribute_precedence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9729823Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9730053Z ok (0.009s)
2022-11-23T01:19:49.9730344Z   test_module_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9730764Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:49.9730991Z ok (0.025s)
2022-11-23T01:19:49.9731483Z   test_module_name_string_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9731804Z ok (0.015s)
2022-11-23T01:19:49.9732106Z   test_module_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9732564Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9732781Z ok (0.010s)
2022-11-23T01:19:49.9733095Z   test_module_static_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9733516Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:49.9733744Z ok (0.027s)
2022-11-23T01:19:49.9734209Z   test_moduledict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9734540Z ok (0.011s)
2022-11-23T01:19:49.9735026Z   test_modulelist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T01:19:49.9735341Z ok (0.042s)
2022-11-23T01:19:49.9735648Z   test_modulemethod1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9736064Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:49.9736297Z ok (0.016s)
2022-11-23T01:19:49.9736791Z   test_modulemethod2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9737214Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:19:49.9737441Z ok (0.015s)
2022-11-23T01:19:49.9737926Z   test_nn_moduledict_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:19:49.9738324Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:19:49.9738602Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:49.9739064Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T01:19:49.9739454Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T01:19:49.9739666Z ok (0.016s)
2022-11-23T01:19:49.9739977Z   test_parameters1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9740377Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9740606Z ok (0.008s)
2022-11-23T01:19:49.9740904Z   test_parameters2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9741317Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9741530Z ok (0.008s)
2022-11-23T01:19:49.9742010Z   test_parameters3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9742340Z ok (0.009s)
2022-11-23T01:19:49.9742866Z   test_self_mutating1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:49.9743213Z ok (0.021s)
2022-11-23T01:19:49.9743678Z   test_seq_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9744000Z ok (0.009s)
2022-11-23T01:19:49.9744611Z   test_simple_torch_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:49.9745138Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:49.9745655Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:49.9746097Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:49.9746341Z inline_call []
2022-11-23T01:19:49.9746644Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9746877Z ok (0.010s)
2022-11-23T01:19:49.9747346Z   test_stringmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9747678Z ok (0.007s)
2022-11-23T01:19:49.9747975Z   test_submodules1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9748390Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:49.9748608Z ok (0.013s)
2022-11-23T01:19:49.9748904Z   test_submodules2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9749316Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:19:49.9749527Z ok (0.013s)
2022-11-23T01:19:49.9749824Z   test_super1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9750233Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9750457Z ok (0.009s)
2022-11-23T01:19:49.9750747Z   test_super_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9751165Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9751392Z ok (0.006s)
2022-11-23T01:19:49.9751849Z   test_tensorlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9752182Z ok (0.008s)
2022-11-23T01:19:49.9752814Z   test_torch_function_with_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:49.9753415Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:49.9753922Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:19:49.9754323Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:19:49.9754702Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9754933Z ok (0.006s)
2022-11-23T01:19:49.9755351Z   test_unsupportedmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9755911Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:49.9756207Z unimplemented []
2022-11-23T01:19:49.9756583Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:49.9757000Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:19:49.9757238Z ok (0.017s)
2022-11-23T01:19:49.9757668Z   test_unsupportedmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9758177Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:19:49.9758468Z unimplemented []
2022-11-23T01:19:49.9758858Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:19:49.9759288Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:19:49.9759519Z ok (0.018s)
2022-11-23T01:19:49.9759822Z   test_viamodulecall_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9760242Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9760455Z ok (0.008s)
2022-11-23T01:19:49.9760863Z   test_Size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9761333Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:19:49.9761593Z unimplemented []
2022-11-23T01:19:49.9761949Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:19:49.9762345Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9762558Z ok (0.008s)
2022-11-23T01:19:49.9762975Z   test_abc_setattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9763280Z unimplemented []
2022-11-23T01:19:49.9763713Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7f095d5df010>', 1)]
2022-11-23T01:19:49.9764010Z inline_call []
2022-11-23T01:19:49.9764309Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9764537Z ok (0.008s)
2022-11-23T01:19:49.9764823Z   test_batch_norm_act_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9765238Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9765472Z ok (0.013s)
2022-11-23T01:19:49.9765913Z   test_bigbird_unsqueeze_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9766345Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9766638Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9766830Z ok (0.417s)
2022-11-23T01:19:49.9767115Z   test_boxes_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9767530Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9767753Z ok (0.008s)
2022-11-23T01:19:49.9768039Z   test_chunk_reformer_ff_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9768459Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9768684Z ok (0.063s)
2022-11-23T01:19:49.9769198Z   test_class_member_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9769521Z ok (0.007s)
2022-11-23T01:19:49.9769964Z   test_convert_boxes_to_pooler_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:49.9770280Z inline_call []
2022-11-23T01:19:49.9770443Z unimplemented []
2022-11-23T01:19:49.9770719Z graph_break [('dynamic shapes: repeat_interleave', 2)]
2022-11-23T01:19:49.9771064Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:19:49.9771291Z ok (0.053s)
2022-11-23T01:19:49.9771597Z   test_create_rand_mask_from_inputs_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9772027Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:19:49.9772283Z ok (0.139s)
2022-11-23T01:19:49.9772561Z   test_dict_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.005s)
2022-11-23T01:19:49.9773097Z   test_dict_list_values_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:49.9773400Z unimplemented []
2022-11-23T01:19:49.9773848Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T01:19:49.9774150Z ok (0.016s)
2022-11-23T01:19:49.9774569Z   test_do_paste_mask_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 12), ('ok', 11)]
2022-11-23T01:19:49.9774968Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:19:49.9775317Z graph_break [('dynamic shapes: arange', 6), ('Dynamic slicing not supported', 4)]
2022-11-23T01:19:49.9775695Z stats [('calls_captured', 159), ('fusions_possible', 148), ('unique_graphs', 11)]
2022-11-23T01:19:49.9775925Z ok (0.275s)
2022-11-23T01:19:49.9776559Z   test_ellipsis_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9776938Z ok (0.010s)
2022-11-23T01:19:49.9777358Z   test_exec_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:49.9777803Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:49.9778044Z unimplemented []
2022-11-23T01:19:49.9778376Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:49.9778621Z ok (0.004s)
2022-11-23T01:19:49.9779052Z   test_exec_wildcard_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:49.9779497Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:49.9779750Z unimplemented []
2022-11-23T01:19:49.9780079Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:49.9780440Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:49.9780669Z ok (0.009s)
2022-11-23T01:19:49.9781110Z   test_for_loop_graph_break_before_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9781431Z unimplemented []
2022-11-23T01:19:49.9781794Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:19:49.9782066Z inline_call []
2022-11-23T01:19:49.9782370Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T01:19:49.9782591Z ok (0.119s)
2022-11-23T01:19:49.9783077Z   test_for_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9783381Z inline_call []
2022-11-23T01:19:49.9783745Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:19:49.9784156Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9784384Z ok (0.010s)
2022-11-23T01:19:49.9784695Z   test_get_parameter_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9785102Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9785331Z ok (0.007s)
2022-11-23T01:19:49.9785661Z   test_grad_mode_carrying_correct_state_after_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Break
2022-11-23T01:19:49.9786063Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9786256Z unimplemented []
2022-11-23T01:19:49.9786589Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:49.9786953Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:19:49.9787181Z ok (0.010s)
2022-11-23T01:19:49.9787620Z   test_guard_fail_nested_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9788054Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9788264Z ok (0.010s)
2022-11-23T01:19:49.9788907Z   test_guard_fail_tensor_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:19:46,291] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT <graph break in check_equal> /var/lib/jenkins/workspace/test/dynamo/test_repros.py line 1356 
2022-11-23T01:19:49.9789330Z due to: 
2022-11-23T01:19:49.9789520Z Traceback (most recent call last):
2022-11-23T01:19:49.9789903Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/variables/builder.py", line 818, in wrap_fx_proxy_cls
2022-11-23T01:19:49.9790194Z     raise AssertionError(
2022-11-23T01:19:49.9790605Z AssertionError: torch.* op returned non-Tensor bool call_function <built-in method allclose of type object at 0x7f09fee47c60>
2022-11-23T01:19:49.9790830Z 
2022-11-23T01:19:49.9790891Z from user code:
2022-11-23T01:19:49.9791170Z    File "/var/lib/jenkins/workspace/test/dynamo/test_repros.py", line 1358, in <graph break in check_equal>
2022-11-23T01:19:49.9791464Z     assert torch.allclose(expected, result)
2022-11-23T01:19:49.9791603Z 
2022-11-23T01:19:49.9791738Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:19:49.9791884Z 
2022-11-23T01:19:49.9791888Z 
2022-11-23T01:19:49.9792011Z frames [('total', 7), ('ok', 6)]
2022-11-23T01:19:49.9792336Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T01:19:49.9792873Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7f095d114ca0>', 5)]
2022-11-23T01:19:49.9793183Z ok (0.020s)
2022-11-23T01:19:49.9793563Z   test_guard_ordering_shape_fail_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:19:49.9794000Z   test_hf_model_output_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9794424Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:19:49.9794642Z ok (0.048s)
2022-11-23T01:19:49.9794939Z   test_hf_t5_forward_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9795357Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:19:49.9795576Z ok (0.707s)
2022-11-23T01:19:49.9796035Z   test_indexing_with_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:49.9796397Z inline_call [('Tensor.numpy', 1)]
2022-11-23T01:19:49.9796597Z unimplemented []
2022-11-23T01:19:49.9796817Z graph_break [('Tensor.numpy', 1)]
2022-11-23T01:19:49.9797144Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)]
2022-11-23T01:19:49.9797374Z ok (0.014s)
2022-11-23T01:19:49.9797665Z   test_is_symbolic_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9798084Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9798314Z ok (0.005s)
2022-11-23T01:19:49.9798604Z   test_isinstance_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:19:49.9799537Z   test_isinstance_storage_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:19:49.9800077Z   warnings.warn(message, UserWarning)
2022-11-23T01:19:49.9800334Z frames [('total', 12), ('ok', 11)]
2022-11-23T01:19:49.9800515Z unimplemented []
2022-11-23T01:19:49.9800993Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:19:49.9801522Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:19:49.9801809Z expected failure (0.011s)
2022-11-23T01:19:49.9802119Z   test_issue1466_size_aot_autograd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... arf
2022-11-23T01:19:49.9802411Z arf
2022-11-23T01:19:49.9802617Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9802794Z unimplemented []
2022-11-23T01:19:49.9803124Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:49.9803502Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:19:49.9803794Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9803970Z ok (0.024s)
2022-11-23T01:19:49.9804266Z   test_issue175_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9804681Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:19:49.9804898Z ok (0.020s)
2022-11-23T01:19:49.9805385Z   test_longformer_chunk_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9805727Z ok (0.176s)
2022-11-23T01:19:49.9806135Z   test_maml_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9806571Z inline_call [('inlining disallowed: <function grad at 0x7f09922dc940>', 1)]
2022-11-23T01:19:49.9806813Z unimplemented []
2022-11-23T01:19:49.9807228Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7f09922dc940>', 1)]
2022-11-23T01:19:49.9807638Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)]
2022-11-23T01:19:49.9807866Z ok (0.083s)
2022-11-23T01:19:49.9808297Z   test_maml_no_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:19:49.9808733Z inline_call [('inlining disallowed: <function grad at 0x7f09922dc940>', 1)]
2022-11-23T01:19:49.9808957Z unimplemented []
2022-11-23T01:19:49.9809432Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7f09922dc940>', 1)]
2022-11-23T01:19:49.9809871Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)]
2022-11-23T01:19:49.9810086Z ok (0.109s)
2022-11-23T01:19:49.9810560Z   test_modules_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9810891Z ok (0.009s)
2022-11-23T01:19:49.9811307Z   test_multi_dot_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:49.9811811Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:19:49.9812152Z unimplemented []
2022-11-23T01:19:49.9812548Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:19:49.9812946Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9813176Z ok (0.010s)
2022-11-23T01:19:49.9813494Z   test_multi_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires detectron2 (0.001s)
2022-11-23T01:19:49.9814122Z   test_named_buffers_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:19:49.9814444Z ok (0.008s)
2022-11-23T01:19:49.9814860Z   test_nn_parameter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9815326Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:19:49.9815580Z unimplemented []
2022-11-23T01:19:49.9815922Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:19:49.9816308Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9816704Z ok (0.010s)
2022-11-23T01:19:49.9817147Z   test_not_rewrite_assert_for_other_errors_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9817598Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9817827Z ok (0.006s)
2022-11-23T01:19:49.9818281Z   test_not_rewrite_assert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:49.9818615Z ok (0.003s)
2022-11-23T01:19:49.9819026Z   test_numpy_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9819329Z unimplemented []
2022-11-23T01:19:49.9819738Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7f095d169ea0>', 1)]
2022-11-23T01:19:49.9820164Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9820392Z ok (0.023s)
2022-11-23T01:19:49.9820808Z   test_optimized_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9821241Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9821465Z ok (0.008s)
2022-11-23T01:19:49.9821873Z   test_primtorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9822423Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:19:49.9822714Z unimplemented []
2022-11-23T01:19:49.9823098Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:19:49.9823364Z ok (0.004s)
2022-11-23T01:19:49.9823935Z   test_primtorch_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:19:49.9824350Z expected failure (0.003s)
2022-11-23T01:19:49.9824793Z   test_recursive_map_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9825079Z inline_call []
2022-11-23T01:19:49.9825421Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9825650Z ok (0.010s)
2022-11-23T01:19:49.9825942Z   test_reformer_eval_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9826361Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:19:49.9826588Z ok (0.025s)
2022-11-23T01:19:49.9826800Z   test_reformer_min_chunk_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9827001Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9827067Z ok (0.010s)
2022-11-23T01:19:49.9827261Z   test_reformer_sorting_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:19:49.9827466Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T01:19:49.9827538Z ok (0.035s)
2022-11-23T01:19:49.9827861Z   test_reformer_train_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:49.9828153Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:19:49.9828230Z unimplemented []
2022-11-23T01:19:49.9828596Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:19:49.9828798Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:19:49.9828851Z ok (0.044s)
2022-11-23T01:19:49.9829218Z   test_reinplacing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:49.9829342Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9829543Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9829672Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9829741Z ok (0.879s)
2022-11-23T01:19:49.9830134Z   test_relative_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9830201Z ok (0.008s)
2022-11-23T01:19:49.9830601Z   test_relative_import_no_modulename_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9830668Z ok (0.005s)
2022-11-23T01:19:49.9831065Z   test_rewrite_assert_noop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:19:49.9831135Z ok (0.018s)
2022-11-23T01:19:49.9831559Z   test_rewrite_assert_with_fstring_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:19:49.9831628Z ok (0.004s)
2022-11-23T01:19:49.9832028Z   test_rewrite_assert_with_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T01:19:49.9832096Z ok (0.018s)
2022-11-23T01:19:49.9832507Z   test_rewrite_assert_without_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T01:19:49.9832560Z ok (0.011s)
2022-11-23T01:19:49.9832874Z   test_rng_state_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9833100Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:19:49.9833168Z ok (0.011s)
2022-11-23T01:19:49.9833638Z   test_seq_append_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9833711Z ok (0.013s)
2022-11-23T01:19:49.9834379Z   test_sigmoid_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:49.9834473Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:19:49.9835353Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:49.9835450Z   return node.target(*args, **kwargs)
2022-11-23T01:19:49.9836007Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:49.9836101Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:19:49.9836224Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:49.9836408Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:19:49.9836478Z ok (0.027s)
2022-11-23T01:19:49.9836885Z   test_slice_into_list_mutable_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T01:19:49.9836954Z ok (0.024s)
2022-11-23T01:19:49.9837291Z   test_slicing_dynamic_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9837460Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:19:49.9837660Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:19:49.9837729Z ok (0.008s)
2022-11-23T01:19:49.9838094Z   test_slicing_dynamic_shape_setitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:19:49.9838265Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:19:49.9838426Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T01:19:49.9838622Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9838690Z ok (0.007s)
2022-11-23T01:19:49.9839350Z   test_sort_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:49.9839493Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:19:49.9840359Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:49.9840456Z   return node.target(*args, **kwargs)
2022-11-23T01:19:49.9841015Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:49.9841126Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:19:49.9841672Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:19:49.9841781Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:19:49.9841908Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:19:49.9842107Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:19:49.9842162Z ok (0.035s)
2022-11-23T01:19:49.9842495Z   test_specialized_stride_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9842694Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9842766Z ok (0.005s)
2022-11-23T01:19:49.9843104Z   test_tensor_isinstance_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9843301Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9843369Z ok (0.005s)
2022-11-23T01:19:49.9843691Z   test_tokenization_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:49.9843947Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:19:49.9844026Z unimplemented []
2022-11-23T01:19:49.9844266Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:19:49.9844335Z ok (0.009s)
2022-11-23T01:19:49.9844729Z   test_torch_ops_aten_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9844798Z ok (0.010s)
2022-11-23T01:19:49.9845198Z   test_vdd_duplicate_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:19:49.9845267Z ok (0.011s)
2022-11-23T01:19:49.9845611Z   test_while_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:19:49.9845688Z inline_call []
2022-11-23T01:19:49.9845963Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:19:49.9846162Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9846228Z ok (0.006s)
2022-11-23T01:19:49.9846440Z   test_with_on_graph_break_inst_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Hello world
2022-11-23T01:19:49.9846510Z Hello world
2022-11-23T01:19:49.9846633Z frames [('total', 6), ('ok', 6)]
2022-11-23T01:19:49.9846843Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:19:49.9846921Z unimplemented []
2022-11-23T01:19:49.9847181Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T01:19:49.9847382Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T01:19:49.9847452Z ok (0.024s)
2022-11-23T01:19:49.9847680Z   test_builtin_functions_on_cuda_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:19:49.9848006Z   test_builtin_getitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9848205Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9848259Z ok (0.012s)
2022-11-23T01:19:49.9848578Z   test_builtin_max_min_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9848777Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:19:49.9848846Z ok (0.007s)
2022-11-23T01:19:49.9849197Z   test_feed_random_values_into_graph_only_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9849395Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:49.9849463Z ok (0.007s)
2022-11-23T01:19:49.9849840Z   test_multiple_consecutive_random_calls_before_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9850022Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9850088Z ok (0.009s)
2022-11-23T01:19:49.9850413Z   test_no_recompilations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9850608Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9850678Z ok (0.005s)
2022-11-23T01:19:49.9851040Z   test_numpy_correctness_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:19:49.9851229Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)]
2022-11-23T01:19:49.9851382Z graph_break [('Tensor.numpy', 2), ('numpy', 2)]
2022-11-23T01:19:49.9851567Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9851635Z ok (0.023s)
2022-11-23T01:19:49.9851972Z   test_random_call_with_while_loop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9852166Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:19:49.9852235Z ok (0.006s)
2022-11-23T01:19:49.9852582Z   test_random_values_with_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:19:49.9852695Z unimplemented []
2022-11-23T01:19:49.9852827Z graph_break [('Tensor.item', 2)]
2022-11-23T01:19:49.9853014Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:19:49.9853086Z ok (0.171s)
2022-11-23T01:19:49.9853425Z   test_unspec_float_precision_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:49.9853623Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:49.9853692Z ok (0.061s)
2022-11-23T01:19:49.9853699Z 
2022-11-23T01:19:49.9853903Z ----------------------------------------------------------------------
2022-11-23T01:19:49.9853985Z Ran 375 tests in 7.631s
2022-11-23T01:19:49.9853991Z 
2022-11-23T01:19:49.9854089Z OK (skipped=7, expected failures=2)
2022-11-23T01:19:49.9854095Z 
2022-11-23T01:19:49.9854169Z Generating XML reports...
2022-11-23T01:19:49.9854576Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsFunctionTests-20221123011941.xml
2022-11-23T01:19:49.9854966Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsMiscTests-20221123011941.xml
2022-11-23T01:19:49.9855360Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsNNModuleTests-20221123011941.xml
2022-11-23T01:19:49.9855745Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsReproTests-20221123011941.xml
2022-11-23T01:19:49.9856126Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsUnspecTests-20221123011941.xml
2022-11-23T01:19:49.9856132Z 
2022-11-23T01:19:49.9856615Z ##[endgroup]
2022-11-23T01:19:49.9856964Z FINISHED PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_q2756z2c)
2022-11-23T01:19:49.9856972Z 
2022-11-23T01:19:51.9164405Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:51.9771314Z Ignoring disabled issues:  []
2022-11-23T01:19:51.9915422Z Running dynamo/test_nops ... [2022-11-23 01:19:51.991228]
2022-11-23T01:19:51.9916877Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_nops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:51.991493]
2022-11-23T01:19:54.1801139Z 
2022-11-23T01:19:54.1805009Z Expand the folded group to see the log file of dynamo/test_nops
2022-11-23T01:19:54.1805728Z ##[group]PRINTING LOG FILE of dynamo/test_nops (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_nops_c1c6eag1)
2022-11-23T01:19:54.1805981Z 
2022-11-23T01:19:54.1806059Z Running tests...
2022-11-23T01:19:54.1806468Z ----------------------------------------------------------------------
2022-11-23T01:19:54.1806856Z Test results will be stored in test-reports/python-unittest/dynamo.test_nops
2022-11-23T01:19:54.1807134Z   test1 (__main__.NopTests) ... ok (0.240s)
2022-11-23T01:19:54.1807543Z   test2 (__main__.NopTests) ... ok (0.002s)
2022-11-23T01:19:54.1807748Z   test3 (__main__.NopTests) ... ok (0.002s)
2022-11-23T01:19:54.1807988Z   test_extended_args (__main__.NopTests) ... ok (0.033s)
2022-11-23T01:19:54.1808136Z 
2022-11-23T01:19:54.1808337Z ----------------------------------------------------------------------
2022-11-23T01:19:54.1808583Z Ran 4 tests in 0.278s
2022-11-23T01:19:54.1808687Z 
2022-11-23T01:19:54.1808749Z OK
2022-11-23T01:19:54.1808840Z 
2022-11-23T01:19:54.1808925Z Generating XML reports...
2022-11-23T01:19:54.1809329Z Generated XML report: test-reports/python-unittest/dynamo.test_nops/TEST-NopTests-20221123011953.xml
2022-11-23T01:19:54.1809547Z 
2022-11-23T01:19:54.1809761Z ##[endgroup]
2022-11-23T01:19:54.1810150Z FINISHED PRINTING LOG FILE of dynamo/test_nops (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_nops_c1c6eag1)
2022-11-23T01:19:54.1810433Z 
2022-11-23T01:19:54.8209039Z 
2022-11-23T01:19:54.8209578Z Expand the folded group to see the log file of dynamo/test_minifier
2022-11-23T01:19:54.8210815Z ##[group]PRINTING LOG FILE of dynamo/test_minifier (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_minifier_sucjudh4)
2022-11-23T01:19:54.8211200Z 
2022-11-23T01:19:54.8211321Z Running tests...
2022-11-23T01:19:54.8211922Z ----------------------------------------------------------------------
2022-11-23T01:19:54.8212572Z Test results will be stored in test-reports/python-unittest/dynamo.test_minifier
2022-11-23T01:19:54.8213138Z   test_after_dynamo_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (1.894s)
2022-11-23T01:19:54.8213712Z   test_after_dynamo_cpu_accuracy_error (__main__.MinifierTests) ... repro dir: /tmp/tmpkjf5umkv/run_2022_11_23_01_19_28_757164/minifier/
2022-11-23T01:19:54.8214160Z ok (5.147s)
2022-11-23T01:19:54.8214559Z   test_after_dynamo_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (1.637s)
2022-11-23T01:19:54.8215141Z   test_after_dynamo_cpu_compile_error (__main__.MinifierTests) ... repro dir: /tmp/tmpkjf5umkv/run_2022_11_23_01_19_35_471234/minifier/
2022-11-23T01:19:54.8215556Z ok (5.019s)
2022-11-23T01:19:54.8215951Z   test_after_dynamo_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (1.661s)
2022-11-23T01:19:54.8216693Z   test_after_dynamo_cpu_runtime_error (__main__.MinifierTests) ... repro dir: /tmp/tmpkjf5umkv/run_2022_11_23_01_19_42_108786/minifier/
2022-11-23T01:19:54.8217095Z ok (5.153s)
2022-11-23T01:19:54.8217522Z   test_after_dynamo_cuda_accuracy_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:19:54.8218083Z   test_after_dynamo_cuda_accuracy_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:19:54.8218663Z   test_after_dynamo_cuda_compile_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:19:54.8219249Z   test_after_dynamo_cuda_compile_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:19:54.8219897Z   test_after_dynamo_cuda_runtime_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:19:54.8220499Z   test_after_dynamo_cuda_runtime_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:19:54.8221127Z   test_after_dynamo_custom_backend (__main__.MinifierTests) ... repro dir: /tmp/tmpkjf5umkv/run_2022_11_23_01_19_47_350661/minifier/
2022-11-23T01:19:54.8221559Z ok (3.299s)
2022-11-23T01:19:54.8221983Z   test_cpu_cuda_module_after_dynamo (__main__.MinifierTests) ... skip: requires cuda (0.002s)
2022-11-23T01:19:54.8222578Z   test_if_graph_minified (__main__.MinifierTests) ... repro dir: /tmp/tmpkjf5umkv/run_2022_11_23_01_19_50_639008/minifier/
2022-11-23T01:19:54.8222997Z ok (5.192s)
2022-11-23T01:19:54.8223171Z 
2022-11-23T01:19:54.8223554Z ----------------------------------------------------------------------
2022-11-23T01:19:54.8223957Z Ran 15 tests in 29.008s
2022-11-23T01:19:54.8224142Z 
2022-11-23T01:19:54.8224260Z OK (skipped=7)
2022-11-23T01:19:54.8224419Z 
2022-11-23T01:19:54.8224558Z Generating XML reports...
2022-11-23T01:19:54.8225511Z Generated XML report: test-reports/python-unittest/dynamo.test_minifier/TEST-MinifierTests-20221123011925.xml
2022-11-23T01:19:54.8225912Z 
2022-11-23T01:19:54.8226343Z ##[endgroup]
2022-11-23T01:19:54.8227014Z FINISHED PRINTING LOG FILE of dynamo/test_minifier (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_minifier_sucjudh4)
2022-11-23T01:19:54.8227394Z 
2022-11-23T01:19:56.1806842Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:56.2394291Z Ignoring disabled issues:  []
2022-11-23T01:19:56.2541316Z Running dynamo/test_optimizations ... [2022-11-23 01:19:56.253839]
2022-11-23T01:19:56.2543229Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_optimizations.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:56.254099]
2022-11-23T01:19:56.7305588Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:19:56.8291544Z Ignoring disabled issues:  []
2022-11-23T01:19:56.8436085Z Running dynamo/test_optimizers ... [2022-11-23 01:19:56.843275]
2022-11-23T01:19:56.8437517Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_optimizers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:19:56.843534]
2022-11-23T01:19:58.6216136Z 
2022-11-23T01:19:58.6216811Z Expand the folded group to see the log file of dynamo/test_optimizations
2022-11-23T01:19:58.6218119Z ##[group]PRINTING LOG FILE of dynamo/test_optimizations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizations_9b1mbtmu)
2022-11-23T01:19:58.6218593Z 
2022-11-23T01:19:58.6218726Z Running tests...
2022-11-23T01:19:58.6219379Z ----------------------------------------------------------------------
2022-11-23T01:19:58.6220093Z Test results will be stored in test-reports/python-unittest/dynamo.test_optimizations
2022-11-23T01:19:58.6220665Z   test_inplace_normalize (__main__.NormalizeIRTests) ... ok (0.272s)
2022-11-23T01:19:58.6221173Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:58.6221744Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:58.6222245Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:19:58.6222988Z   test_example_inputs (__main__.TestOptimizations) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:58.6223491Z ok (0.094s)
2022-11-23T01:19:58.6223866Z   test_has_mutation (__main__.TestOptimizations) ... ok (0.016s)
2022-11-23T01:19:58.6224553Z   test_has_mutation_factory (__main__.TestOptimizations) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:58.6225217Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:19:58.6225617Z ok (0.007s)
2022-11-23T01:19:58.6226197Z   test_inplacifier (__main__.TestOptimizations) ... optimizations [('out', 1), ('inplace', 1)]
2022-11-23T01:19:58.6226648Z ok (0.015s)
2022-11-23T01:19:58.6227064Z   test_ipex_bf16 (__main__.TestOptimizations) ... skip: requires ipex (0.001s)
2022-11-23T01:19:58.6227597Z   test_ipex_fp32 (__main__.TestOptimizations) ... skip: requires ipex (0.000s)
2022-11-23T01:19:58.6228276Z   test_log_conv_args (__main__.TestOptimizations) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:19:58.6228936Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:19:58.6229316Z ok (0.046s)
2022-11-23T01:19:58.6229497Z 
2022-11-23T01:19:58.6229852Z ----------------------------------------------------------------------
2022-11-23T01:19:58.6230272Z Ran 8 tests in 0.452s
2022-11-23T01:19:58.6230473Z 
2022-11-23T01:19:58.6230597Z OK (skipped=2)
2022-11-23T01:19:58.6230762Z 
2022-11-23T01:19:58.6230911Z Generating XML reports...
2022-11-23T01:19:58.6231671Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizations/TEST-NormalizeIRTests-20221123011957.xml
2022-11-23T01:19:58.6232687Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizations/TEST-TestOptimizations-20221123011957.xml
2022-11-23T01:19:58.6233127Z 
2022-11-23T01:19:58.6233633Z ##[endgroup]
2022-11-23T01:19:58.6234659Z FINISHED PRINTING LOG FILE of dynamo/test_optimizations (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizations_9b1mbtmu)
2022-11-23T01:19:58.6235091Z 
2022-11-23T01:20:00.1116064Z 
2022-11-23T01:20:00.1116587Z Expand the folded group to see the log file of dynamo/test_optimizers
2022-11-23T01:20:00.1117705Z ##[group]PRINTING LOG FILE of dynamo/test_optimizers (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizers_ryfgz9bf)
2022-11-23T01:20:00.1118124Z 
2022-11-23T01:20:00.1118268Z Running tests...
2022-11-23T01:20:00.1118857Z ----------------------------------------------------------------------
2022-11-23T01:20:00.1119338Z Test results will be stored in test-reports/python-unittest/dynamo.test_optimizers
2022-11-23T01:20:00.1119685Z   test_optimizing_over_tensor_with_requires_grad (__main__.End2EndTests) ... ok (0.447s)
2022-11-23T01:20:00.1120240Z frames [('total', 10), ('ok', 9)]
2022-11-23T01:20:00.1120704Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 3), ('Tensor.item', 2), ('inline with __closure__', 1)]
2022-11-23T01:20:00.1121146Z unimplemented [('generator', 1), ('Tensor.item', 1)]
2022-11-23T01:20:00.1121694Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2), ('Tensor.backward', 1), ('inline with __closure__', 1)]
2022-11-23T01:20:00.1122144Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:00.1122548Z   test_adadelta (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:00.1122783Z inline_call []
2022-11-23T01:20:00.1123135Z stats [('calls_captured', 54), ('fusions_possible', 53), ('unique_graphs', 1)]
2022-11-23T01:20:00.1123354Z ok (0.082s)
2022-11-23T01:20:00.1123659Z   test_adagrad (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:00.1123936Z inline_call []
2022-11-23T01:20:00.1124231Z stats [('calls_captured', 46), ('fusions_possible', 45), ('unique_graphs', 1)]
2022-11-23T01:20:00.1124465Z ok (0.069s)
2022-11-23T01:20:00.1124805Z   test_adam (__main__.OptimizerTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:00.1125233Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2)]
2022-11-23T01:20:00.1125548Z unimplemented []
2022-11-23T01:20:00.1125922Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)]
2022-11-23T01:20:00.1126386Z stats [('calls_captured', 80), ('fusions_possible', 79), ('unique_graphs', 1)]
2022-11-23T01:20:00.1126601Z ok (0.119s)
2022-11-23T01:20:00.1126945Z   test_adamax (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:00.1127180Z inline_call []
2022-11-23T01:20:00.1127471Z stats [('calls_captured', 78), ('fusions_possible', 77), ('unique_graphs', 1)]
2022-11-23T01:20:00.1127757Z ok (0.097s)
2022-11-23T01:20:00.1128051Z   test_adamw (__main__.OptimizerTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:00.1128526Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 2)]
2022-11-23T01:20:00.1128794Z unimplemented []
2022-11-23T01:20:00.1129222Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py', 1)]
2022-11-23T01:20:00.1129632Z stats [('calls_captured', 80), ('fusions_possible', 79), ('unique_graphs', 1)]
2022-11-23T01:20:00.1129885Z ok (0.112s)
2022-11-23T01:20:00.1130186Z   test_nadam (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:00.1130413Z inline_call []
2022-11-23T01:20:00.1130755Z stats [('calls_captured', 162), ('fusions_possible', 161), ('unique_graphs', 1)]
2022-11-23T01:20:00.1130990Z ok (0.134s)
2022-11-23T01:20:00.1131286Z   test_radam (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:00.1131569Z inline_call []
2022-11-23T01:20:00.1131941Z stats [('calls_captured', 86), ('fusions_possible', 85), ('unique_graphs', 1)]
2022-11-23T01:20:00.1132222Z ok (0.094s)
2022-11-23T01:20:00.1132523Z   test_rmsprop (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:00.1132738Z inline_call []
2022-11-23T01:20:00.1133095Z stats [('calls_captured', 26), ('fusions_possible', 25), ('unique_graphs', 1)]
2022-11-23T01:20:00.1133326Z ok (0.086s)
2022-11-23T01:20:00.1133609Z   test_rprop (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:00.1133878Z inline_call []
2022-11-23T01:20:00.1134181Z stats [('calls_captured', 82), ('fusions_possible', 81), ('unique_graphs', 1)]
2022-11-23T01:20:00.1134426Z ok (0.108s)
2022-11-23T01:20:00.1134729Z   test_sgd (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:00.1135001Z inline_call []
2022-11-23T01:20:00.1135345Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:00.1135575Z ok (0.041s)
2022-11-23T01:20:00.1135680Z 
2022-11-23T01:20:00.1135890Z ----------------------------------------------------------------------
2022-11-23T01:20:00.1136164Z Ran 11 tests in 1.390s
2022-11-23T01:20:00.1136265Z 
2022-11-23T01:20:00.1136328Z OK
2022-11-23T01:20:00.1136584Z 
2022-11-23T01:20:00.1136688Z Generating XML reports...
2022-11-23T01:20:00.1137116Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizers/TEST-End2EndTests-20221123011958.xml
2022-11-23T01:20:00.1137683Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizers/TEST-OptimizerTests-20221123011958.xml
2022-11-23T01:20:00.1137919Z 
2022-11-23T01:20:00.1138246Z ##[endgroup]
2022-11-23T01:20:00.1138664Z FINISHED PRINTING LOG FILE of dynamo/test_optimizers (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizers_ryfgz9bf)
2022-11-23T01:20:00.1138953Z 
2022-11-23T01:20:00.5370212Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:00.6184318Z Ignoring disabled issues:  []
2022-11-23T01:20:00.6331618Z Running dynamo/test_python_autograd ... [2022-11-23 01:20:00.632802]
2022-11-23T01:20:00.6332569Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:00.633056]
2022-11-23T01:20:02.0729506Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:02.1321254Z Ignoring disabled issues:  []
2022-11-23T01:20:02.1466854Z Running dynamo/test_recompile_ux ... [2022-11-23 01:20:02.146397]
2022-11-23T01:20:02.1468887Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:02.146670]
2022-11-23T01:20:03.2329095Z 
2022-11-23T01:20:03.2330091Z Expand the folded group to see the log file of dynamo/test_python_autograd
2022-11-23T01:20:03.2331243Z ##[group]PRINTING LOG FILE of dynamo/test_python_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_python_autograd_j34pwstx)
2022-11-23T01:20:03.2331667Z 
2022-11-23T01:20:03.2331807Z Running tests...
2022-11-23T01:20:03.2332417Z ----------------------------------------------------------------------
2022-11-23T01:20:03.2333087Z Test results will be stored in test-reports/python-unittest/dynamo.test_python_autograd
2022-11-23T01:20:03.2333627Z   test_backwards1 (__main__.TestPythonAutograd) ... ok (0.435s)
2022-11-23T01:20:03.2334095Z   test_backwards2 (__main__.TestPythonAutograd) ... inline_call []
2022-11-23T01:20:03.2334725Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:03.2335133Z inline_call []
2022-11-23T01:20:03.2335638Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:03.2335985Z ok (0.121s)
2022-11-23T01:20:03.2336358Z   test_forwards1 (__main__.TestPythonAutograd) ... inline_call []
2022-11-23T01:20:03.2337196Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:03.2337572Z ok (0.029s)
2022-11-23T01:20:03.2338142Z   test_forwards2 (__main__.TestPythonAutograd) ... inline_call []
2022-11-23T01:20:03.2338793Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:03.2339160Z ok (0.030s)
2022-11-23T01:20:03.2339521Z   test_split (__main__.TestPythonAutograd) ... inline_call []
2022-11-23T01:20:03.2340111Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:03.2340504Z ok (0.097s)
2022-11-23T01:20:03.2340675Z 
2022-11-23T01:20:03.2341002Z ----------------------------------------------------------------------
2022-11-23T01:20:03.2341410Z Ran 5 tests in 0.712s
2022-11-23T01:20:03.2341588Z 
2022-11-23T01:20:03.2341685Z OK
2022-11-23T01:20:03.2341836Z 
2022-11-23T01:20:03.2341984Z Generating XML reports...
2022-11-23T01:20:03.2342746Z Generated XML report: test-reports/python-unittest/dynamo.test_python_autograd/TEST-TestPythonAutograd-20221123012002.xml
2022-11-23T01:20:03.2343338Z 
2022-11-23T01:20:03.2343770Z ##[endgroup]
2022-11-23T01:20:03.2344505Z FINISHED PRINTING LOG FILE of dynamo/test_python_autograd (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_python_autograd_j34pwstx)
2022-11-23T01:20:03.2344924Z 
2022-11-23T01:20:03.8989592Z 
2022-11-23T01:20:03.8990391Z Expand the folded group to see the log file of dynamo/test_recompile_ux
2022-11-23T01:20:03.8991250Z ##[group]PRINTING LOG FILE of dynamo/test_recompile_ux (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_recompile_ux_a2ss87ou)
2022-11-23T01:20:03.8991493Z 
2022-11-23T01:20:03.8991707Z ##[endgroup]
2022-11-23T01:20:03.8992228Z FINISHED PRINTING LOG FILE of dynamo/test_recompile_ux (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_recompile_ux_a2ss87ou)
2022-11-23T01:20:03.8992458Z 
2022-11-23T01:20:05.1896872Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:05.2490758Z Ignoring disabled issues:  []
2022-11-23T01:20:05.2636273Z Running dynamo/test_replay_record ... [2022-11-23 01:20:05.263328]
2022-11-23T01:20:05.2638081Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_replay_record.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:05.263594]
2022-11-23T01:20:05.8876774Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:05.9472440Z Ignoring disabled issues:  []
2022-11-23T01:20:05.9618507Z Running dynamo/test_repros ... [2022-11-23 01:20:05.961522]
2022-11-23T01:20:05.9620425Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_repros.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:05.961812]
2022-11-23T01:20:07.0696578Z 
2022-11-23T01:20:07.0697190Z Expand the folded group to see the log file of dynamo/test_replay_record
2022-11-23T01:20:07.0698353Z ##[group]PRINTING LOG FILE of dynamo/test_replay_record (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_replay_record_kbbw5b12)
2022-11-23T01:20:07.0698851Z 
2022-11-23T01:20:07.0698966Z Running tests...
2022-11-23T01:20:07.0699386Z ----------------------------------------------------------------------
2022-11-23T01:20:07.0699778Z Test results will be stored in test-reports/python-unittest/dynamo.test_replay_record
2022-11-23T01:20:07.0700116Z   test_fn_call_args (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2022-11-23T01:20:07.0700432Z   test_local_module (__main__.ReplayRecordTests) ... skip: requires dill (0.001s)
2022-11-23T01:20:07.0700750Z   test_nonlocal_fn_call (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2022-11-23T01:20:07.0701065Z   test_nonlocal_module_class (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2022-11-23T01:20:07.0701401Z   test_nonlocal_module_fn_call (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2022-11-23T01:20:07.0701728Z   test_successful_inline (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2022-11-23T01:20:07.0702043Z   test_unsuccessful_inline (__main__.ReplayRecordTests) ... skip: requires dill (0.000s)
2022-11-23T01:20:07.0702223Z 
2022-11-23T01:20:07.0702594Z ----------------------------------------------------------------------
2022-11-23T01:20:07.0702840Z Ran 7 tests in 0.003s
2022-11-23T01:20:07.0702954Z 
2022-11-23T01:20:07.0703027Z OK (skipped=7)
2022-11-23T01:20:07.0703122Z 
2022-11-23T01:20:07.0703206Z Generating XML reports...
2022-11-23T01:20:07.0703651Z Generated XML report: test-reports/python-unittest/dynamo.test_replay_record/TEST-ReplayRecordTests-20221123012006.xml
2022-11-23T01:20:07.0703897Z 
2022-11-23T01:20:07.0704128Z ##[endgroup]
2022-11-23T01:20:07.0704533Z FINISHED PRINTING LOG FILE of dynamo/test_replay_record (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_replay_record_kbbw5b12)
2022-11-23T01:20:07.0704772Z 
2022-11-23T01:20:08.9724855Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:09.0516042Z Ignoring disabled issues:  []
2022-11-23T01:20:09.0662100Z Running dynamo/test_skip_non_tensor ... [2022-11-23 01:20:09.065927]
2022-11-23T01:20:09.0664296Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:09.066174]
2022-11-23T01:20:11.5427847Z 
2022-11-23T01:20:11.5428719Z Expand the folded group to see the log file of dynamo/test_skip_non_tensor
2022-11-23T01:20:11.5430702Z ##[group]PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_bqj7p9vc)
2022-11-23T01:20:11.5431145Z 
2022-11-23T01:20:11.5431438Z Running tests...
2022-11-23T01:20:11.5432288Z ----------------------------------------------------------------------
2022-11-23T01:20:11.5433288Z Test results will be stored in test-reports/python-unittest/dynamo.test_skip_non_tensor
2022-11-23T01:20:11.5433950Z   test_add_skip (__main__.SkipNonTensorTests) ... ok (0.251s)
2022-11-23T01:20:11.5434863Z   test_add_tensor1 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:11.5435522Z ok (0.091s)
2022-11-23T01:20:11.5436402Z   test_add_tensor2 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:11.5437020Z ok (0.005s)
2022-11-23T01:20:11.5437868Z   test_add_tensor_dict (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:11.5438510Z ok (0.005s)
2022-11-23T01:20:11.5439325Z   test_add_tensor_list (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:11.5439809Z ok (0.005s)
2022-11-23T01:20:11.5440205Z   test_custom_list (__main__.SkipNonTensorTests) ... ok (0.002s)
2022-11-23T01:20:11.5440661Z   test_recursive_list (__main__.SkipNonTensorTests) ... ok (0.001s)
2022-11-23T01:20:11.5440921Z 
2022-11-23T01:20:11.5441237Z ----------------------------------------------------------------------
2022-11-23T01:20:11.5441624Z Ran 7 tests in 0.359s
2022-11-23T01:20:11.5441810Z 
2022-11-23T01:20:11.5441906Z OK
2022-11-23T01:20:11.5442061Z 
2022-11-23T01:20:11.5442195Z Generating XML reports...
2022-11-23T01:20:11.5442894Z Generated XML report: test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123012010.xml
2022-11-23T01:20:11.5443292Z 
2022-11-23T01:20:11.5443657Z ##[endgroup]
2022-11-23T01:20:11.5444245Z FINISHED PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_bqj7p9vc)
2022-11-23T01:20:11.5444551Z 
2022-11-23T01:20:12.4775207Z 
2022-11-23T01:20:12.4775724Z Expand the folded group to see the log file of dynamo/test_repros
2022-11-23T01:20:12.4777198Z ##[group]PRINTING LOG FILE of dynamo/test_repros (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_repros_qmmyad15)
2022-11-23T01:20:12.4777628Z 
2022-11-23T01:20:12.4777788Z Running tests...
2022-11-23T01:20:12.4778452Z ----------------------------------------------------------------------
2022-11-23T01:20:12.4779365Z Test results will be stored in test-reports/python-unittest/dynamo.test_repros
2022-11-23T01:20:12.4779859Z   test_Size (__main__.ReproTests) ... ok (0.340s)
2022-11-23T01:20:12.4780472Z   test_abc_setattr (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:12.4781231Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:12.4781715Z unimplemented []
2022-11-23T01:20:12.4782377Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:12.4783070Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:12.4783534Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:12.4783882Z unimplemented []
2022-11-23T01:20:12.4784705Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7f834719d750>', 1)]
2022-11-23T01:20:12.4785371Z inline_call []
2022-11-23T01:20:12.4785904Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4786323Z ok (0.011s)
2022-11-23T01:20:12.4786677Z   test_batch_norm_act (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4787250Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:12.4787659Z ok (0.027s)
2022-11-23T01:20:12.4788247Z   test_bigbird_unsqueeze_inplace (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4788904Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:12.4789429Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4789763Z ok (0.467s)
2022-11-23T01:20:12.4790144Z   test_boxes_len (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4790749Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4791169Z ok (0.010s)
2022-11-23T01:20:12.4791566Z   test_chunk_reformer_ff (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4792178Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:12.4792591Z ok (0.076s)
2022-11-23T01:20:12.4793285Z   test_class_member (__main__.ReproTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:12.4793827Z ok (0.011s)
2022-11-23T01:20:12.4794449Z   test_convert_boxes_to_pooler_format (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:12.4794971Z inline_call []
2022-11-23T01:20:12.4795333Z unimplemented []
2022-11-23T01:20:12.4795933Z graph_break [('dynamic shapes: repeat_interleave', 2)]
2022-11-23T01:20:12.4796679Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:20:12.4797168Z ok (0.053s)
2022-11-23T01:20:12.4797659Z   test_create_rand_mask_from_inputs (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4798457Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:12.4798934Z ok (0.132s)
2022-11-23T01:20:12.4799364Z   test_dict_iter (__main__.ReproTests) ... ok (0.005s)
2022-11-23T01:20:12.4800109Z   test_dict_list_values (__main__.ReproTests) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:12.4800612Z unimplemented []
2022-11-23T01:20:12.4801597Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T01:20:12.4802285Z ok (0.017s)
2022-11-23T01:20:12.4802932Z   test_do_paste_mask (__main__.ReproTests) ... frames [('total', 12), ('ok', 11)]
2022-11-23T01:20:12.4803641Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:12.4804396Z graph_break [('dynamic shapes: arange', 6), ('Dynamic slicing not supported', 4)]
2022-11-23T01:20:12.4805202Z stats [('calls_captured', 159), ('fusions_possible', 148), ('unique_graphs', 11)]
2022-11-23T01:20:12.4805695Z ok (0.558s)
2022-11-23T01:20:12.4806564Z   test_ellipsis (__main__.ReproTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:12.4807126Z ok (0.019s)
2022-11-23T01:20:12.4807747Z   test_exec_import (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:12.4808549Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:12.4809086Z unimplemented []
2022-11-23T01:20:12.4809787Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:12.4810295Z ok (0.004s)
2022-11-23T01:20:12.4810979Z   test_exec_wildcard_import (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:12.4811816Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:12.4812368Z unimplemented []
2022-11-23T01:20:12.4813061Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:12.4813942Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:12.4814438Z ok (0.012s)
2022-11-23T01:20:12.4815093Z   test_for_loop_graph_break (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:12.4815592Z inline_call []
2022-11-23T01:20:12.4816715Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:12.4817592Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4818074Z ok (0.011s)
2022-11-23T01:20:12.4818825Z   test_for_loop_graph_break_before (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:12.4819348Z unimplemented []
2022-11-23T01:20:12.4820148Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:12.4820729Z inline_call []
2022-11-23T01:20:12.4821396Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T01:20:12.4821872Z ok (0.145s)
2022-11-23T01:20:12.4822337Z   test_get_parameter_dtype (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4823094Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:12.4823572Z ok (0.010s)
2022-11-23T01:20:12.4824089Z   test_grad_mode_carrying_correct_state_after_graph_break (__main__.ReproTests) ... Break
2022-11-23T01:20:12.4824727Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:12.4825123Z unimplemented []
2022-11-23T01:20:12.4825816Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:12.4826631Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:12.4827111Z ok (0.012s)
2022-11-23T01:20:12.4827767Z   test_guard_fail_nested_tuple (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:12.4828546Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:12.4829023Z ok (0.012s)
2022-11-23T01:20:12.4829695Z   test_guard_fail_tensor_bool (__main__.ReproTests) ... frames [('total', 12), ('ok', 12)]
2022-11-23T01:20:12.4830468Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T01:20:12.4831816Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7f834719fac0>', 5), ('data dependent operator: aten.allclose.default', 5)]
2022-11-23T01:20:12.4832899Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)]
2022-11-23T01:20:12.4833425Z ok (0.052s)
2022-11-23T01:20:12.4833911Z   test_guard_ordering_shape_fail (__main__.ReproTests) ... ok (0.001s)
2022-11-23T01:20:12.4834499Z   test_hf_model_output (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4835251Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:20:12.4835719Z ok (0.052s)
2022-11-23T01:20:12.4836175Z   test_hf_t5_forward (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4837105Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:20:12.4837573Z ok (0.528s)
2022-11-23T01:20:12.4838231Z   test_indexing_with_list (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:12.4838868Z inline_call [('Tensor.numpy', 1)]
2022-11-23T01:20:12.4839281Z unimplemented []
2022-11-23T01:20:12.4839782Z graph_break [('Tensor.numpy', 1)]
2022-11-23T01:20:12.4840491Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)]
2022-11-23T01:20:12.4840958Z ok (0.017s)
2022-11-23T01:20:12.4841443Z   test_is_symbolic_tracing (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4842202Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4842697Z ok (0.006s)
2022-11-23T01:20:12.4843150Z   test_isinstance_dtype (__main__.ReproTests) ... ok (0.003s)
2022-11-23T01:20:12.4844847Z   test_isinstance_storage (__main__.ReproTests) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:20:12.4845907Z   warnings.warn(message, UserWarning)
2022-11-23T01:20:12.4846443Z frames [('total', 12), ('ok', 11)]
2022-11-23T01:20:12.4846833Z unimplemented []
2022-11-23T01:20:12.4847874Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:20:12.4849039Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:20:12.4849634Z expected failure (0.012s)
2022-11-23T01:20:12.4850148Z   test_issue1466_size_aot_autograd (__main__.ReproTests) ... arf
2022-11-23T01:20:12.4850597Z arf
2022-11-23T01:20:12.4851021Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:12.4851430Z unimplemented []
2022-11-23T01:20:12.4852137Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:12.4852953Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:12.4853556Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4853949Z ok (0.024s)
2022-11-23T01:20:12.4854386Z   test_issue175 (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4855099Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:20:12.4855575Z ok (0.064s)
2022-11-23T01:20:12.4856382Z   test_longformer_chunk (__main__.ReproTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:12.4865634Z ok (0.160s)
2022-11-23T01:20:12.4869467Z   test_maml_item_capture (__main__.ReproTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:12.4870156Z inline_call [('inlining disallowed: <function grad at 0x7f83507a2710>', 1)]
2022-11-23T01:20:12.4872408Z unimplemented []
2022-11-23T01:20:12.4873133Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7f83507a2710>', 1)]
2022-11-23T01:20:12.4873990Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)]
2022-11-23T01:20:12.4874395Z ok (0.078s)
2022-11-23T01:20:12.4874917Z   test_maml_no_item_capture (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:12.4875554Z inline_call [('inlining disallowed: <function grad at 0x7f83507a2710>', 1)]
2022-11-23T01:20:12.4875980Z unimplemented []
2022-11-23T01:20:12.4876817Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7f83507a2710>', 1)]
2022-11-23T01:20:12.4877610Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)]
2022-11-23T01:20:12.4878010Z ok (0.099s)
2022-11-23T01:20:12.4878800Z   test_modules (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:12.4879264Z ok (0.018s)
2022-11-23T01:20:12.4879786Z   test_multi_dot_import (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:12.4880604Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:20:12.4881133Z unimplemented []
2022-11-23T01:20:12.4881851Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:20:12.4882589Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4882998Z ok (0.011s)
2022-11-23T01:20:12.4885186Z   test_multi_import (__main__.ReproTests) ... skip: requires detectron2 (0.000s)
2022-11-23T01:20:12.4886028Z   test_named_buffers (__main__.ReproTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:12.4886647Z ok (0.011s)
2022-11-23T01:20:12.4887179Z   test_nn_parameter (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:12.4887904Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:12.4888380Z unimplemented []
2022-11-23T01:20:12.4888848Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:12.4889585Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:12.4890113Z ok (0.010s)
2022-11-23T01:20:12.4890760Z   test_not_rewrite_assert (__main__.ReproTests) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:20:12.4891341Z ok (0.005s)
2022-11-23T01:20:12.4892492Z   test_not_rewrite_assert_for_other_errors (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:12.4893191Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:12.4893571Z ok (0.008s)
2022-11-23T01:20:12.4894643Z   test_numpy_list (__main__.ReproTests) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:12.4895081Z unimplemented []
2022-11-23T01:20:12.4895961Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7f8344d23880>', 1)]
2022-11-23T01:20:12.4896725Z expected failure (0.021s)
2022-11-23T01:20:12.4897833Z   test_optimized_deepcopy (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4898497Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4898925Z ok (0.012s)
2022-11-23T01:20:12.4900292Z   test_primtorch (__main__.ReproTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:12.4901097Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:12.4901575Z unimplemented []
2022-11-23T01:20:12.4902784Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:12.4903295Z ok (0.005s)
2022-11-23T01:20:12.4904265Z   test_primtorch_no_graph_break (__main__.ReproTests) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:12.4918758Z expected failure (0.003s)
2022-11-23T01:20:12.4920440Z   test_recursive_map (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4920894Z inline_call []
2022-11-23T01:20:12.4921558Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:12.4922107Z ok (0.012s)
2022-11-23T01:20:12.4922510Z   test_reformer_eval (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4923364Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:20:12.4923777Z ok (0.033s)
2022-11-23T01:20:12.4924282Z   test_reformer_min_chunk_len (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4925402Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:12.4925821Z ok (0.010s)
2022-11-23T01:20:12.4926314Z   test_reformer_sorting (__main__.ReproTests) ... inline_call []
2022-11-23T01:20:12.4927256Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T01:20:12.4927691Z ok (0.024s)
2022-11-23T01:20:12.4928309Z   test_reformer_train (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:12.4929311Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:20:12.4929860Z unimplemented []
2022-11-23T01:20:12.4930805Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:20:12.4931781Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:20:12.4932299Z ok (0.052s)
2022-11-23T01:20:12.4932974Z   test_reinplacing (__main__.ReproTests) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:12.4933655Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4934621Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:12.4935151Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4935597Z ok (0.833s)
2022-11-23T01:20:12.4936928Z   test_relative_import (__main__.ReproTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:12.4937420Z ok (0.011s)
2022-11-23T01:20:12.4938243Z   test_relative_import_no_modulename (__main__.ReproTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:12.4938852Z ok (0.006s)
2022-11-23T01:20:12.4940104Z   test_rewrite_assert_noop (__main__.ReproTests) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:20:12.4940583Z ok (0.021s)
2022-11-23T01:20:12.4941383Z   test_rewrite_assert_with_fstring_msg (__main__.ReproTests) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:20:12.4941985Z ok (0.006s)
2022-11-23T01:20:12.4943270Z   test_rewrite_assert_with_msg (__main__.ReproTests) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T01:20:12.4943763Z ok (0.023s)
2022-11-23T01:20:12.4944573Z   test_rewrite_assert_without_msg (__main__.ReproTests) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T01:20:12.4945167Z ok (0.016s)
2022-11-23T01:20:12.4946240Z   test_rng_state (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4946879Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:12.4947330Z ok (0.012s)
2022-11-23T01:20:12.4948542Z   test_seq_append_list (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:12.4949032Z ok (0.024s)
2022-11-23T01:20:12.4950326Z   test_sigmoid_out (__main__.ReproTests) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:12.4951603Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:20:12.4953482Z /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2022-11-23T01:20:12.4954554Z   warnings.warn(msg)
2022-11-23T01:20:12.4955789Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:12.4956915Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:20:12.4957344Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:12.4957905Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:20:12.4958404Z ok (0.030s)
2022-11-23T01:20:12.4959113Z   test_slice_into_list_mutable (__main__.ReproTests) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T01:20:12.4959589Z ok (0.038s)
2022-11-23T01:20:12.4960154Z   test_slicing_dynamic_shape (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:12.4960769Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:20:12.4961413Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:12.4961792Z ok (0.011s)
2022-11-23T01:20:12.4962384Z   test_slicing_dynamic_shape_setitem (__main__.ReproTests) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:12.4963004Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:12.4963565Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:12.4964305Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4964719Z ok (0.009s)
2022-11-23T01:20:12.4966020Z   test_sort_out (__main__.ReproTests) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:12.4967289Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:12.4969173Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:12.4970390Z   return node.target(*args, **kwargs)
2022-11-23T01:20:12.4971636Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:12.4972844Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:12.4974172Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:12.4975382Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:12.4975831Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:12.4976396Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:20:12.4976837Z ok (0.040s)
2022-11-23T01:20:12.4977300Z   test_specialized_stride (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4981596Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4981996Z ok (0.005s)
2022-11-23T01:20:12.4982582Z   test_tensor_isinstance_tuple (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:12.4983948Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4984346Z ok (0.005s)
2022-11-23T01:20:12.4984891Z   test_tokenization (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:12.4985607Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:20:12.4986079Z unimplemented []
2022-11-23T01:20:12.4987113Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:20:12.4987636Z ok (0.009s)
2022-11-23T01:20:12.4988369Z   test_torch_ops_aten (__main__.ReproTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4988877Z ok (0.011s)
2022-11-23T01:20:12.4989622Z   test_vdd_duplicate_error (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:12.4990158Z ok (0.014s)
2022-11-23T01:20:12.4991555Z   test_while_loop_graph_break (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:12.4992009Z inline_call []
2022-11-23T01:20:12.4992668Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:12.4993463Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:12.4993899Z ok (0.008s)
2022-11-23T01:20:12.4994291Z   test_with_on_graph_break_inst (__main__.ReproTests) ... Hello world
2022-11-23T01:20:12.4994692Z Hello world
2022-11-23T01:20:12.4995095Z frames [('total', 6), ('ok', 6)]
2022-11-23T01:20:12.4995705Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:12.4996162Z unimplemented []
2022-11-23T01:20:12.4996773Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T01:20:12.4997515Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T01:20:12.4997916Z ok (0.029s)
2022-11-23T01:20:12.4998105Z 
2022-11-23T01:20:12.4998474Z ----------------------------------------------------------------------
2022-11-23T01:20:12.4998903Z Ran 70 tests in 4.427s
2022-11-23T01:20:12.4999070Z 
2022-11-23T01:20:12.4999240Z OK (skipped=1, expected failures=3)
2022-11-23T01:20:12.4999461Z 
2022-11-23T01:20:12.4999618Z Generating XML reports...
2022-11-23T01:20:12.5000288Z Generated XML report: test-reports/python-unittest/dynamo.test_repros/TEST-ReproTests-20221123012007.xml
2022-11-23T01:20:12.5000691Z 
2022-11-23T01:20:12.5001192Z ##[endgroup]
2022-11-23T01:20:12.5001910Z FINISHED PRINTING LOG FILE of dynamo/test_repros (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_repros_qmmyad15)
2022-11-23T01:20:12.5002319Z 
2022-11-23T01:20:13.5181367Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:13.5981916Z Ignoring disabled issues:  []
2022-11-23T01:20:13.6131841Z Running dynamo/test_subgraphs ... [2022-11-23 01:20:13.612908]
2022-11-23T01:20:13.6134116Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_subgraphs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:13.613174]
2022-11-23T01:20:14.5017794Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:14.5611774Z Ignoring disabled issues:  []
2022-11-23T01:20:14.5758651Z Running dynamo/test_torchxla_integration ... [2022-11-23 01:20:14.575496]
2022-11-23T01:20:14.5759547Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_torchxla_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:14.575751]
2022-11-23T01:20:16.1492778Z 
2022-11-23T01:20:16.1493334Z Expand the folded group to see the log file of dynamo/test_torchxla_integration
2022-11-23T01:20:16.1494492Z ##[group]PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_t9hqlemk)
2022-11-23T01:20:16.1495209Z 
2022-11-23T01:20:16.1495609Z ##[endgroup]
2022-11-23T01:20:16.1496716Z FINISHED PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_t9hqlemk)
2022-11-23T01:20:16.1497169Z 
2022-11-23T01:20:17.3590743Z 
2022-11-23T01:20:17.3591417Z Expand the folded group to see the log file of dynamo/test_subgraphs
2022-11-23T01:20:17.3592417Z ##[group]PRINTING LOG FILE of dynamo/test_subgraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_subgraphs_hc5morte)
2022-11-23T01:20:17.3592694Z 
2022-11-23T01:20:17.3592859Z Running tests...
2022-11-23T01:20:17.3593258Z ----------------------------------------------------------------------
2022-11-23T01:20:17.3593756Z Test results will be stored in test-reports/python-unittest/dynamo.test_subgraphs
2022-11-23T01:20:17.3594062Z   test_capi_call1 (__main__.SubGraphTests) ... ok (0.336s)
2022-11-23T01:20:17.3594476Z   test_capi_call2 (__main__.SubGraphTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.3594718Z unimplemented []
2022-11-23T01:20:17.3595166Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3595585Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.3595907Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3596098Z unimplemented []
2022-11-23T01:20:17.3596533Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3596953Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.3597204Z ok (0.012s)
2022-11-23T01:20:17.3597519Z   test_capi_call3 (__main__.SubGraphTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.3597752Z unimplemented []
2022-11-23T01:20:17.3598172Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3598588Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.3598863Z ok (0.007s)
2022-11-23T01:20:17.3599148Z   test_control_flow1 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3599552Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:17.3599780Z ok (0.011s)
2022-11-23T01:20:17.3600079Z   test_control_flow2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3600472Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.3600697Z ok (0.007s)
2022-11-23T01:20:17.3601034Z   test_control_flow3 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3601379Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:20:17.3601602Z ok (0.017s)
2022-11-23T01:20:17.3601951Z   test_control_flow4 (__main__.SubGraphTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:17.3602297Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)]
2022-11-23T01:20:17.3602570Z ok (0.015s)
2022-11-23T01:20:17.3603047Z   test_control_flow5 (__main__.SubGraphTests) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:17.3603463Z stats [('calls_captured', 13), ('fusions_possible', 7), ('unique_graphs', 6)]
2022-11-23T01:20:17.3603677Z ok (0.041s)
2022-11-23T01:20:17.3603985Z   test_dynamic_kwarg (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3604390Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.3604602Z ok (0.010s)
2022-11-23T01:20:17.3604954Z   test_dynamic_shapes (__main__.SubGraphTests) ... frames [('total', 11), ('ok', 11)]
2022-11-23T01:20:17.3605319Z stats [('calls_captured', 22), ('fusions_possible', 11), ('unique_graphs', 11)]
2022-11-23T01:20:17.3605571Z ok (0.047s)
2022-11-23T01:20:17.3605902Z   test_enumerate_not_break_graph (__main__.SubGraphTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.3606402Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:17.3606615Z ok (0.008s)
2022-11-23T01:20:17.3606919Z   test_extended_args (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3607336Z stats [('calls_captured', 1026), ('fusions_possible', 1023), ('unique_graphs', 3)]
2022-11-23T01:20:17.3607565Z ok (0.856s)
2022-11-23T01:20:17.3607909Z   test_graph_break_on_item (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3608154Z unimplemented []
2022-11-23T01:20:17.3608384Z graph_break [('Tensor.item', 1)]
2022-11-23T01:20:17.3608736Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:20:17.3608965Z ok (0.014s)
2022-11-23T01:20:17.3609284Z   test_indirect_unsupported1 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3609776Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3610082Z unimplemented []
2022-11-23T01:20:17.3610506Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3610970Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.3611182Z ok (0.011s)
2022-11-23T01:20:17.3611503Z   test_indirect_unsupported2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3612005Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3612282Z unimplemented []
2022-11-23T01:20:17.3612715Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3613150Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)]
2022-11-23T01:20:17.3613381Z ok (0.016s)
2022-11-23T01:20:17.3613697Z   test_indirect_unsupported3 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3614200Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3614490Z unimplemented []
2022-11-23T01:20:17.3614913Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3615328Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:17.3615608Z ok (0.011s)
2022-11-23T01:20:17.3615891Z   test_multigraph (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3616285Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:20:17.3616704Z ok (0.011s)
2022-11-23T01:20:17.3617027Z   test_no_graph_break_on_item (__main__.SubGraphTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:17.3617427Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:17.3617658Z ok (0.008s)
2022-11-23T01:20:17.3617968Z   test_pop_after_resume (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3618315Z unimplemented []
2022-11-23T01:20:17.3618707Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3619181Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.3619396Z ok (0.015s)
2022-11-23T01:20:17.3619748Z   test_restore_range (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3619988Z unimplemented []
2022-11-23T01:20:17.3620395Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3620823Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.3621045Z ok (0.011s)
2022-11-23T01:20:17.3621402Z   test_restore_range_iter (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3621686Z unimplemented []
2022-11-23T01:20:17.3622123Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3622535Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:20:17.3622798Z ok (0.011s)
2022-11-23T01:20:17.3623097Z   test_restore_state (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3623331Z unimplemented []
2022-11-23T01:20:17.3623754Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3624209Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.3624439Z ok (0.012s)
2022-11-23T01:20:17.3624724Z   test_resume1 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3624989Z unimplemented []
2022-11-23T01:20:17.3625373Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3625836Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.3626052Z ok (0.012s)
2022-11-23T01:20:17.3626339Z   test_resume2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3626817Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3627095Z unimplemented []
2022-11-23T01:20:17.3627472Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3627877Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:20:17.3628143Z ok (0.017s)
2022-11-23T01:20:17.3628419Z   test_resume3 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3628901Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3629262Z unimplemented []
2022-11-23T01:20:17.3629685Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3630102Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:20:17.3630379Z ok (0.017s)
2022-11-23T01:20:17.3630671Z   test_resume4 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3631085Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3631381Z unimplemented []
2022-11-23T01:20:17.3631759Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3632157Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:20:17.3632381Z ok (0.017s)
2022-11-23T01:20:17.3632630Z   test_resume5 (__main__.SubGraphTests) ... tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000,
2022-11-23T01:20:17.3632852Z         1.5000])
2022-11-23T01:20:17.3633104Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000,
2022-11-23T01:20:17.3633297Z         1.5000])
2022-11-23T01:20:17.3633561Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000,
2022-11-23T01:20:17.3633740Z         1.5000])
2022-11-23T01:20:17.3633976Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000,
2022-11-23T01:20:17.3634182Z         1.5000])
2022-11-23T01:20:17.3634394Z frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.3634586Z unimplemented []
2022-11-23T01:20:17.3634907Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3635265Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.3635489Z ok (0.013s)
2022-11-23T01:20:17.3635833Z   test_resume_freevars (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3636057Z unimplemented []
2022-11-23T01:20:17.3636441Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3636848Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:20:17.3637072Z ok (0.013s)
2022-11-23T01:20:17.3637365Z   test_resume_paths_join (__main__.SubGraphTests) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:17.3637727Z stats [('calls_captured', 10), ('unique_graphs', 7), ('fusions_possible', 3)]
2022-11-23T01:20:17.3637954Z ok (0.035s)
2022-11-23T01:20:17.3638253Z   test_resume_tuple_iterator (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3638496Z unimplemented []
2022-11-23T01:20:17.3638879Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3639278Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:17.3639502Z ok (0.018s)
2022-11-23T01:20:17.3639814Z   test_resume_with_no_grad1 (__main__.SubGraphTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.3640054Z unimplemented []
2022-11-23T01:20:17.3640274Z graph_break [('Tensor.tolist', 2)]
2022-11-23T01:20:17.3640597Z stats [('calls_captured', 18), ('fusions_possible', 14), ('unique_graphs', 4)]
2022-11-23T01:20:17.3640826Z ok (0.026s)
2022-11-23T01:20:17.3641182Z   test_resume_with_no_grad2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3641422Z unimplemented []
2022-11-23T01:20:17.3641654Z graph_break [('Tensor.tolist', 2)]
2022-11-23T01:20:17.3641965Z stats [('calls_captured', 13), ('fusions_possible', 10), ('unique_graphs', 3)]
2022-11-23T01:20:17.3642190Z ok (0.021s)
2022-11-23T01:20:17.3642500Z   test_resume_with_no_grad3 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3642730Z unimplemented []
2022-11-23T01:20:17.3642962Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:20:17.3643284Z stats [('calls_captured', 19), ('fusions_possible', 17), ('unique_graphs', 2)]
2022-11-23T01:20:17.3643496Z ok (0.019s)
2022-11-23T01:20:17.3643790Z   test_stack_state1 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3644021Z unimplemented []
2022-11-23T01:20:17.3644403Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3644799Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:17.3645023Z ok (0.013s)
2022-11-23T01:20:17.3645319Z   test_stack_state2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3645737Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3646023Z unimplemented []
2022-11-23T01:20:17.3646397Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3646790Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)]
2022-11-23T01:20:17.3647064Z ok (0.018s)
2022-11-23T01:20:17.3647298Z   test_start1 (__main__.SubGraphTests) ... tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])
2022-11-23T01:20:17.3647612Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.])
2022-11-23T01:20:17.3647816Z tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])
2022-11-23T01:20:17.3648089Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.])
2022-11-23T01:20:17.3648332Z frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:17.3648512Z unimplemented []
2022-11-23T01:20:17.3648834Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3649201Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.3649416Z ok (0.010s)
2022-11-23T01:20:17.3649703Z   test_start2 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3650169Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3650463Z unimplemented []
2022-11-23T01:20:17.3650834Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3651248Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:17.3651473Z ok (0.013s)
2022-11-23T01:20:17.3651747Z   test_start3 (__main__.SubGraphTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:17.3651972Z unimplemented []
2022-11-23T01:20:17.3652358Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:17.3652758Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:17.3652985Z ok (0.009s)
2022-11-23T01:20:17.3653273Z   test_start4 (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3653621Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:20:17.3653836Z ok (0.013s)
2022-11-23T01:20:17.3654079Z   test_tuple_iterator_mutate (__main__.SubGraphTests) ... skip: not working yet (0.001s)
2022-11-23T01:20:17.3654517Z   test_tuple_iterator_return (__main__.SubGraphTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:17.3654751Z unimplemented []
2022-11-23T01:20:17.3655135Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:17.3655542Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:20:17.3655757Z ok (0.025s)
2022-11-23T01:20:17.3655861Z 
2022-11-23T01:20:17.3656062Z ----------------------------------------------------------------------
2022-11-23T01:20:17.3656299Z Ran 41 tests in 1.802s
2022-11-23T01:20:17.3656415Z 
2022-11-23T01:20:17.3656618Z OK (skipped=1)
2022-11-23T01:20:17.3656715Z 
2022-11-23T01:20:17.3656801Z Generating XML reports...
2022-11-23T01:20:17.3657224Z Generated XML report: test-reports/python-unittest/dynamo.test_subgraphs/TEST-SubGraphTests-20221123012015.xml
2022-11-23T01:20:17.3657459Z 
2022-11-23T01:20:17.3657757Z ##[endgroup]
2022-11-23T01:20:17.3658155Z FINISHED PRINTING LOG FILE of dynamo/test_subgraphs (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_subgraphs_hc5morte)
2022-11-23T01:20:17.3658390Z 
2022-11-23T01:20:18.1168275Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:18.1760320Z Ignoring disabled issues:  []
2022-11-23T01:20:18.1906877Z Running dynamo/test_unspec ... [2022-11-23 01:20:18.190366]
2022-11-23T01:20:18.1908478Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_unspec.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:18.190645]
2022-11-23T01:20:19.2336733Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:19.2929224Z Ignoring disabled issues:  []
2022-11-23T01:20:19.3077122Z Running dynamo/test_verify_correctness ... [2022-11-23 01:20:19.307361]
2022-11-23T01:20:19.3078379Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:19.307617]
2022-11-23T01:20:21.6122318Z 
2022-11-23T01:20:21.6122830Z Expand the folded group to see the log file of dynamo/test_verify_correctness
2022-11-23T01:20:21.6123956Z ##[group]PRINTING LOG FILE of dynamo/test_verify_correctness (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_verify_correctness_v303c0px)
2022-11-23T01:20:21.6124294Z 
2022-11-23T01:20:21.6124439Z Running tests...
2022-11-23T01:20:21.6125001Z ----------------------------------------------------------------------
2022-11-23T01:20:21.6125731Z Test results will be stored in test-reports/python-unittest/dynamo.test_verify_correctness
2022-11-23T01:20:21.6126324Z   test_example_inputs (__main__.TestVerifyCorrectness) ... ok (0.339s)
2022-11-23T01:20:21.6127101Z   test_incorrect_verify_false (__main__.TestVerifyCorrectness)
2022-11-23T01:20:21.6127925Z The bad optimization return a graph that ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:21.6128509Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:21.6129061Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2022-11-23T01:20:21.6129466Z ok (0.017s)
2022-11-23T01:20:21.6129880Z   test_incorrect_verify_true (__main__.TestVerifyCorrectness)
2022-11-23T01:20:21.6130680Z If a bad optimization return a graph that ... [2022-11-23 01:20:21,120] torch._dynamo.eval_frame: [ERROR] error in verify_correctness
2022-11-23T01:20:21.6131215Z Traceback (most recent call last):
2022-11-23T01:20:21.6131887Z   File "/opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 354, in __call__
2022-11-23T01:20:21.6132444Z     raise RuntimeError(f"incorrect results of backend {self}")
2022-11-23T01:20:21.6133070Z RuntimeError: incorrect results of backend <torch._dynamo.eval_frame.WrapperBackend object at 0x7fc599e13160>
2022-11-23T01:20:21.6133667Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:21.6134235Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:21.6134630Z ok (0.016s)
2022-11-23T01:20:21.6135073Z   test_ipex_fp32 (__main__.TestVerifyCorrectness) ... skip: requires ipex (0.001s)
2022-11-23T01:20:21.6135764Z   test_nnc (__main__.TestVerifyCorrectness) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:21.6136403Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:21.6136960Z ok (0.091s)
2022-11-23T01:20:21.6137152Z 
2022-11-23T01:20:21.6137518Z ----------------------------------------------------------------------
2022-11-23T01:20:21.6137931Z Ran 5 tests in 0.464s
2022-11-23T01:20:21.6138136Z 
2022-11-23T01:20:21.6138262Z OK (skipped=1)
2022-11-23T01:20:21.6138450Z 
2022-11-23T01:20:21.6138606Z Generating XML reports...
2022-11-23T01:20:21.6139443Z Generated XML report: test-reports/python-unittest/dynamo.test_verify_correctness/TEST-TestVerifyCorrectness-20221123012020.xml
2022-11-23T01:20:21.6139930Z 
2022-11-23T01:20:21.6140360Z ##[endgroup]
2022-11-23T01:20:21.6141174Z FINISHED PRINTING LOG FILE of dynamo/test_verify_correctness (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_verify_correctness_v303c0px)
2022-11-23T01:20:21.6141636Z 
2022-11-23T01:20:23.7425322Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:23.8201215Z Ignoring disabled issues:  []
2022-11-23T01:20:23.8349629Z Running inductor/test_minifier ... [2022-11-23 01:20:23.834573]
2022-11-23T01:20:23.8350986Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:23.834828]
2022-11-23T01:20:25.9681890Z 
2022-11-23T01:20:25.9682601Z Expand the folded group to see the log file of dynamo/test_unspec
2022-11-23T01:20:25.9688442Z ##[group]PRINTING LOG FILE of dynamo/test_unspec (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_unspec_b09wq1um)
2022-11-23T01:20:25.9688876Z 
2022-11-23T01:20:25.9689253Z Running tests...
2022-11-23T01:20:25.9689863Z ----------------------------------------------------------------------
2022-11-23T01:20:25.9690258Z Test results will be stored in test-reports/python-unittest/dynamo.test_unspec
2022-11-23T01:20:25.9690585Z   test_basicmodule1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.400s)
2022-11-23T01:20:25.9691105Z   test_basicmodule2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9691537Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9691753Z ok (0.015s)
2022-11-23T01:20:25.9692029Z   test_call_fn_with_non_const_inputs_safe_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9692497Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9692730Z ok (0.013s)
2022-11-23T01:20:25.9693131Z   test_cfgmod_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:25.9693422Z ok (0.027s)
2022-11-23T01:20:25.9693833Z   test_children_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9694112Z ok (0.027s)
2022-11-23T01:20:25.9694523Z   test_constloop_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:25.9694813Z ok (0.026s)
2022-11-23T01:20:25.9695062Z   test_densenet_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9695426Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:25.9695658Z ok (0.018s)
2022-11-23T01:20:25.9695913Z   test_enumvalues_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9696274Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:25.9696731Z ok (0.017s)
2022-11-23T01:20:25.9697298Z   test_fnmember_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9697714Z ok (0.012s)
2022-11-23T01:20:25.9698334Z   test_fnmembercmp1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9698830Z ok (0.013s)
2022-11-23T01:20:25.9699531Z   test_fnmembercmp2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9700006Z ok (0.013s)
2022-11-23T01:20:25.9700452Z   test_forward_directly_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9701089Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9701479Z ok (0.020s)
2022-11-23T01:20:25.9701924Z   test_generation_tag_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.002s)
2022-11-23T01:20:25.9702845Z   test_hasattr_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9703375Z ok (0.009s)
2022-11-23T01:20:25.9704117Z   test_intarg_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9704439Z ok (0.013s)
2022-11-23T01:20:25.9704851Z   test_iseval1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9705143Z ok (0.012s)
2022-11-23T01:20:25.9705530Z   test_iseval2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9705913Z ok (0.012s)
2022-11-23T01:20:25.9706331Z   test_isnonelayer_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9706609Z ok (0.011s)
2022-11-23T01:20:25.9707018Z   test_istraining1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9707312Z ok (0.012s)
2022-11-23T01:20:25.9707710Z   test_istraining2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9708004Z ok (0.012s)
2022-11-23T01:20:25.9708417Z   test_layerlist_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9708778Z ok (0.016s)
2022-11-23T01:20:25.9709397Z   test_lazy_module_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:20:25.9709968Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:20:25.9710652Z [2022-11-23 01:20:20,374] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7fa69d14bb50> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:20:25.9711408Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:20:25.9711900Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:20:25.9712465Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:20:25.9712957Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:20:25.9713718Z [2022-11-23 01:20:20,399] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.10/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7fa69d14bb50> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:20:25.9714469Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:20:25.9714958Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:20:25.9715237Z frames [('total', 16), ('ok', 14)]
2022-11-23T01:20:25.9715982Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T01:20:25.9716806Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.LazyModule'>", 2)]
2022-11-23T01:20:25.9717213Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T01:20:25.9717572Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9717806Z ok (0.064s)
2022-11-23T01:20:25.9718086Z   test_module_attribute_precedence_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9718469Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9718705Z ok (0.012s)
2022-11-23T01:20:25.9719006Z   test_module_class_method_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9719393Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:25.9719608Z ok (0.028s)
2022-11-23T01:20:25.9720034Z   test_module_name_string_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9720336Z ok (0.014s)
2022-11-23T01:20:25.9720579Z   test_module_property_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9720956Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9721185Z ok (0.007s)
2022-11-23T01:20:25.9721437Z   test_module_static_method_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9721871Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:25.9722098Z ok (0.028s)
2022-11-23T01:20:25.9722513Z   test_moduledict_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9722794Z ok (0.011s)
2022-11-23T01:20:25.9723212Z   test_modulelist_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T01:20:25.9723504Z ok (0.105s)
2022-11-23T01:20:25.9723745Z   test_modulemethod1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9724127Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:25.9724355Z ok (0.029s)
2022-11-23T01:20:25.9724597Z   test_modulemethod2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9724976Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:20:25.9725205Z ok (0.028s)
2022-11-23T01:20:25.9725642Z   test_nn_moduledict_contains_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:20:25.9725983Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:25.9726264Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T01:20:25.9726730Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T01:20:25.9727114Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T01:20:25.9727326Z ok (0.019s)
2022-11-23T01:20:25.9727588Z   test_parameters1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9727966Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9728181Z ok (0.009s)
2022-11-23T01:20:25.9728433Z   test_parameters2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9728809Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9729026Z ok (0.009s)
2022-11-23T01:20:25.9729445Z   test_parameters3_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:25.9729741Z ok (0.019s)
2022-11-23T01:20:25.9730143Z   test_self_mutating1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:20:25.9730440Z ok (0.039s)
2022-11-23T01:20:25.9730840Z   test_seq_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9731121Z ok (0.019s)
2022-11-23T01:20:25.9731668Z   test_simple_torch_function_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:20:25.9732190Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:20:25.9732709Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:20:25.9733116Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:20:25.9733358Z inline_call []
2022-11-23T01:20:25.9733665Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9733896Z ok (0.014s)
2022-11-23T01:20:25.9734307Z   test_stringmember_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9734607Z ok (0.012s)
2022-11-23T01:20:25.9734861Z   test_submodules1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9735265Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:25.9735479Z ok (0.025s)
2022-11-23T01:20:25.9735737Z   test_submodules2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9736111Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:20:25.9736324Z ok (0.025s)
2022-11-23T01:20:25.9736797Z   test_super1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9737302Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9737628Z ok (0.016s)
2022-11-23T01:20:25.9738090Z   test_super_class_method_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9738685Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9738916Z ok (0.008s)
2022-11-23T01:20:25.9739325Z   test_tensorlist_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9739623Z ok (0.012s)
2022-11-23T01:20:25.9740194Z   test_torch_function_with_closure_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:20:25.9740675Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:20:25.9741192Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:20:25.9741598Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:20:25.9741977Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9742194Z ok (0.009s)
2022-11-23T01:20:25.9742562Z   test_unsupportedmethod_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9743046Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:25.9743328Z unimplemented []
2022-11-23T01:20:25.9743715Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:25.9744130Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:20:25.9744361Z ok (0.029s)
2022-11-23T01:20:25.9744711Z   test_unsupportedmodule_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9745190Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:20:25.9745483Z unimplemented []
2022-11-23T01:20:25.9745854Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:20:25.9746269Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:20:25.9746500Z ok (0.030s)
2022-11-23T01:20:25.9746847Z   test_viamodulecall_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9747215Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9747445Z ok (0.015s)
2022-11-23T01:20:25.9747782Z   test_Size_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:25.9748203Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:25.9748481Z unimplemented []
2022-11-23T01:20:25.9748841Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:25.9749217Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9749495Z ok (0.010s)
2022-11-23T01:20:25.9749848Z   test_abc_setattr_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9750115Z unimplemented []
2022-11-23T01:20:25.9750537Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7fa68cc11e10>', 1)]
2022-11-23T01:20:25.9750851Z inline_call []
2022-11-23T01:20:25.9751149Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9751365Z ok (0.009s)
2022-11-23T01:20:25.9751717Z   test_batch_norm_act_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9752119Z inline_call [('data dependent operator: aten._local_scalar_dense.default', 2)]
2022-11-23T01:20:25.9752373Z unimplemented []
2022-11-23T01:20:25.9752676Z graph_break [('data dependent operator: aten._local_scalar_dense.default', 2)]
2022-11-23T01:20:25.9753051Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9753281Z ok (0.031s)
2022-11-23T01:20:25.9753735Z   test_bigbird_unsqueeze_inplace_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9754139Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9754427Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9754604Z ok (0.408s)
2022-11-23T01:20:25.9754853Z   test_boxes_len_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9755225Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9755439Z ok (0.010s)
2022-11-23T01:20:25.9755696Z   test_chunk_reformer_ff_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9756077Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9756306Z ok (0.076s)
2022-11-23T01:20:25.9756710Z   test_class_member_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9757009Z ok (0.011s)
2022-11-23T01:20:25.9757385Z   test_convert_boxes_to_pooler_format_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:25.9757646Z inline_call []
2022-11-23T01:20:25.9757823Z unimplemented []
2022-11-23T01:20:25.9758101Z graph_break [('dynamic shapes: repeat_interleave', 2)]
2022-11-23T01:20:25.9758434Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:20:25.9758663Z ok (0.054s)
2022-11-23T01:20:25.9758937Z   test_create_rand_mask_from_inputs_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9759327Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:20:25.9759540Z ok (0.120s)
2022-11-23T01:20:25.9759786Z   test_dict_iter_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.005s)
2022-11-23T01:20:25.9760252Z   test_dict_list_values_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:25.9760505Z unimplemented []
2022-11-23T01:20:25.9760963Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T01:20:25.9761283Z ok (0.017s)
2022-11-23T01:20:25.9761637Z   test_do_paste_mask_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 13), ('ok', 12)]
2022-11-23T01:20:25.9761983Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:25.9762344Z graph_break [('dynamic shapes: arange', 7), ('Dynamic slicing not supported', 4)]
2022-11-23T01:20:25.9762720Z stats [('calls_captured', 131), ('fusions_possible', 119), ('unique_graphs', 12)]
2022-11-23T01:20:25.9762936Z ok (0.537s)
2022-11-23T01:20:25.9763349Z   test_ellipsis_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9763673Z ok (0.019s)
2022-11-23T01:20:25.9764012Z   test_exec_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:25.9764418Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:25.9764674Z unimplemented []
2022-11-23T01:20:25.9765003Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:25.9765233Z ok (0.004s)
2022-11-23T01:20:25.9765599Z   test_exec_wildcard_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:25.9766012Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:25.9766255Z unimplemented []
2022-11-23T01:20:25.9766581Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:25.9766961Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:25.9767175Z ok (0.012s)
2022-11-23T01:20:25.9767551Z   test_for_loop_graph_break_before_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:25.9767831Z unimplemented []
2022-11-23T01:20:25.9768205Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:25.9768468Z inline_call []
2022-11-23T01:20:25.9768780Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T01:20:25.9769014Z ok (0.143s)
2022-11-23T01:20:25.9769362Z   test_for_loop_graph_break_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:25.9769629Z inline_call []
2022-11-23T01:20:25.9770003Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:25.9770413Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9770627Z ok (0.011s)
2022-11-23T01:20:25.9770895Z   test_get_parameter_dtype_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9771281Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9771495Z ok (0.010s)
2022-11-23T01:20:25.9771783Z   test_grad_mode_carrying_correct_state_after_graph_break_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... Break
2022-11-23T01:20:25.9772111Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9772292Z unimplemented []
2022-11-23T01:20:25.9772621Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:25.9773000Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:20:25.9773214Z ok (0.011s)
2022-11-23T01:20:25.9773580Z   test_guard_fail_nested_tuple_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:25.9773975Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:25.9774234Z ok (0.012s)
2022-11-23T01:20:25.9774585Z   test_guard_fail_tensor_bool_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 12), ('ok', 12)]
2022-11-23T01:20:25.9774990Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T01:20:25.9775607Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7fa68c631900>', 5), ('data dependent operator: aten.allclose.default', 5)]
2022-11-23T01:20:25.9776118Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)]
2022-11-23T01:20:25.9776334Z ok (0.052s)
2022-11-23T01:20:25.9776791Z   test_guard_ordering_shape_fail_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.001s)
2022-11-23T01:20:25.9777200Z   test_hf_model_output_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9777577Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:20:25.9777808Z ok (0.053s)
2022-11-23T01:20:25.9778060Z   test_hf_t5_forward_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9778425Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:20:25.9778656Z ok (0.543s)
2022-11-23T01:20:25.9779014Z   test_indexing_with_list_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:25.9779338Z inline_call [('Tensor.numpy', 1)]
2022-11-23T01:20:25.9779526Z unimplemented []
2022-11-23T01:20:25.9779761Z graph_break [('Tensor.numpy', 1)]
2022-11-23T01:20:25.9780087Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)]
2022-11-23T01:20:25.9780305Z ok (0.017s)
2022-11-23T01:20:25.9780569Z   test_is_symbolic_tracing_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9780952Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9781166Z ok (0.006s)
2022-11-23T01:20:25.9781421Z   test_isinstance_dtype_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.003s)
2022-11-23T01:20:25.9782219Z   test_isinstance_storage_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:20:25.9782734Z   warnings.warn(message, UserWarning)
2022-11-23T01:20:25.9782976Z frames [('total', 12), ('ok', 11)]
2022-11-23T01:20:25.9783171Z unimplemented []
2022-11-23T01:20:25.9783653Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:20:25.9784186Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.10/site-packages/torch/storage.py', 1)]
2022-11-23T01:20:25.9784457Z expected failure (0.011s)
2022-11-23T01:20:25.9784737Z   test_issue1466_size_aot_autograd_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... arf
2022-11-23T01:20:25.9784986Z arf
2022-11-23T01:20:25.9785181Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9785374Z unimplemented []
2022-11-23T01:20:25.9785705Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:25.9786071Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:20:25.9786363Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9786559Z ok (0.028s)
2022-11-23T01:20:25.9786793Z   test_issue175_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9787167Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:20:25.9787397Z ok (0.064s)
2022-11-23T01:20:25.9787874Z   test_longformer_chunk_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:25.9788159Z ok (0.173s)
2022-11-23T01:20:25.9788521Z   test_maml_item_capture_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9788920Z inline_call [('inlining disallowed: <function grad at 0x7fa69d0636d0>', 1)]
2022-11-23T01:20:25.9789146Z unimplemented []
2022-11-23T01:20:25.9789577Z graph_break [('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7fa69d0636d0>', 1)]
2022-11-23T01:20:25.9790002Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)]
2022-11-23T01:20:25.9790234Z ok (0.168s)
2022-11-23T01:20:25.9790610Z   test_maml_no_item_capture_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:20:25.9791013Z inline_call [('inlining disallowed: <function grad at 0x7fa69d0636d0>', 1)]
2022-11-23T01:20:25.9791252Z unimplemented []
2022-11-23T01:20:25.9791684Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.10/copy.py', 1), ('inlining disallowed: <function grad at 0x7fa69d0636d0>', 1)]
2022-11-23T01:20:25.9792123Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)]
2022-11-23T01:20:25.9792353Z ok (0.110s)
2022-11-23T01:20:25.9792769Z   test_modules_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:25.9793046Z ok (0.018s)
2022-11-23T01:20:25.9793473Z   test_multi_dot_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:25.9793956Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:20:25.9794237Z unimplemented []
2022-11-23T01:20:25.9794633Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:20:25.9795044Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9795275Z ok (0.011s)
2022-11-23T01:20:25.9795536Z   test_multi_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... skip: requires detectron2 (0.000s)
2022-11-23T01:20:25.9796059Z   test_named_buffers_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:20:25.9796350Z ok (0.011s)
2022-11-23T01:20:25.9796686Z   test_nn_parameter_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:25.9797113Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:25.9797379Z unimplemented []
2022-11-23T01:20:25.9797724Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.10/unittest/case.py', 1)]
2022-11-23T01:20:25.9798093Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9798322Z ok (0.009s)
2022-11-23T01:20:25.9798705Z   test_not_rewrite_assert_for_other_errors_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:25.9799094Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9799328Z ok (0.008s)
2022-11-23T01:20:25.9799730Z   test_not_rewrite_assert_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:20:25.9800009Z ok (0.005s)
2022-11-23T01:20:25.9800357Z   test_numpy_list_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:25.9800622Z unimplemented []
2022-11-23T01:20:25.9801077Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7fa68c633b50>', 1)]
2022-11-23T01:20:25.9801380Z expected failure (0.021s)
2022-11-23T01:20:25.9801759Z   test_optimized_deepcopy_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9802151Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9802369Z ok (0.011s)
2022-11-23T01:20:25.9802880Z   test_primtorch_no_graph_break_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:25.9803256Z expected failure (0.003s)
2022-11-23T01:20:25.9803620Z   test_primtorch_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9804102Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:25.9804393Z unimplemented []
2022-11-23T01:20:25.9804781Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:20:25.9805050Z ok (0.005s)
2022-11-23T01:20:25.9805402Z   test_recursive_map_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9805664Z inline_call []
2022-11-23T01:20:25.9805967Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9806182Z ok (0.013s)
2022-11-23T01:20:25.9806439Z   test_reformer_eval_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9806818Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:20:25.9807033Z ok (0.034s)
2022-11-23T01:20:25.9807295Z   test_reformer_min_chunk_len_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9807680Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9807896Z ok (0.011s)
2022-11-23T01:20:25.9808154Z   test_reformer_sorting_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:20:25.9808536Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T01:20:25.9808767Z ok (0.025s)
2022-11-23T01:20:25.9809109Z   test_reformer_train_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:25.9809593Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:20:25.9809890Z unimplemented []
2022-11-23T01:20:25.9810350Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:20:25.9810818Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:20:25.9811049Z ok (0.055s)
2022-11-23T01:20:25.9811450Z   test_reinplacing_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:25.9811776Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9812091Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9812383Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9812558Z ok (0.921s)
2022-11-23T01:20:25.9813005Z   test_relative_import_no_modulename_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9813318Z ok (0.008s)
2022-11-23T01:20:25.9813724Z   test_relative_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9814024Z ok (0.007s)
2022-11-23T01:20:25.9814488Z   test_rewrite_assert_noop_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:20:25.9814794Z ok (0.021s)
2022-11-23T01:20:25.9815204Z   test_rewrite_assert_with_fstring_msg_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:20:25.9815509Z ok (0.005s)
2022-11-23T01:20:25.9815945Z   test_rewrite_assert_with_msg_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T01:20:25.9816236Z ok (0.023s)
2022-11-23T01:20:25.9816862Z   test_rewrite_assert_without_msg_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T01:20:25.9817173Z ok (0.016s)
2022-11-23T01:20:25.9817594Z   test_rng_state_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9817965Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:20:25.9818197Z ok (0.011s)
2022-11-23T01:20:25.9818620Z   test_seq_append_list_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:25.9818900Z ok (0.023s)
2022-11-23T01:20:25.9819628Z   test_sigmoid_out_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:25.9820351Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:20:25.9821263Z /opt/conda/lib/python3.10/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2022-11-23T01:20:25.9821852Z   warnings.warn(msg)
2022-11-23T01:20:25.9822518Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:25.9823148Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:20:25.9823376Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:25.9823688Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:20:25.9823918Z ok (0.029s)
2022-11-23T01:20:25.9824340Z   test_slice_into_list_mutable_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T01:20:25.9824648Z ok (0.037s)
2022-11-23T01:20:25.9825026Z   test_slicing_dynamic_shape_setitem_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:20:25.9825395Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:25.9825684Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T01:20:25.9826024Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9826251Z ok (0.008s)
2022-11-23T01:20:25.9826639Z   test_slicing_dynamic_shape_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:25.9827001Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:20:25.9827348Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:20:25.9827558Z ok (0.010s)
2022-11-23T01:20:25.9828273Z   test_sort_out_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:25.9829007Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:25.9830020Z /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:25.9830673Z   return node.target(*args, **kwargs)
2022-11-23T01:20:25.9831351Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:25.9832009Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:25.9832678Z /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:20:25.9833328Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:20:25.9833657Z frames [('total', 7), ('ok', 7)]
2022-11-23T01:20:25.9833978Z inline_call [('call_function UserDefinedClassVariable() [] {}', 1)]
2022-11-23T01:20:25.9834196Z ok (0.038s)
2022-11-23T01:20:25.9834561Z   test_specialized_stride_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9834957Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9835174Z ok (0.005s)
2022-11-23T01:20:25.9835541Z   test_tensor_isinstance_tuple_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9835937Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9836162Z ok (0.005s)
2022-11-23T01:20:25.9836498Z   test_tokenization_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:25.9836923Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:20:25.9837184Z unimplemented []
2022-11-23T01:20:25.9837515Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.10/collections/__init__.py', 2)]
2022-11-23T01:20:25.9837765Z ok (0.009s)
2022-11-23T01:20:25.9838218Z   test_torch_ops_aten_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9838514Z ok (0.011s)
2022-11-23T01:20:25.9838927Z   test_vdd_duplicate_error_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:20:25.9839223Z ok (0.014s)
2022-11-23T01:20:25.9839585Z   test_while_loop_graph_break_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:20:25.9839837Z inline_call []
2022-11-23T01:20:25.9840207Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.10/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:20:25.9840640Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9840866Z ok (0.008s)
2022-11-23T01:20:25.9841113Z   test_with_on_graph_break_inst_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... Hello world
2022-11-23T01:20:25.9841362Z Hello world
2022-11-23T01:20:25.9841577Z frames [('total', 6), ('ok', 6)]
2022-11-23T01:20:25.9841899Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:20:25.9842156Z unimplemented []
2022-11-23T01:20:25.9842517Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T01:20:25.9842899Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T01:20:25.9843125Z ok (0.029s)
2022-11-23T01:20:25.9843373Z   test_builtin_functions_on_cuda (__main__.UnspecTests) ... skip: requires cuda (0.001s)
2022-11-23T01:20:25.9843719Z   test_builtin_getitem (__main__.UnspecTests) ... frames [('total', 1)]
2022-11-23T01:20:25.9843958Z expected failure (0.006s)
2022-11-23T01:20:25.9844274Z   test_builtin_max_min (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9844631Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:20:25.9844845Z ok (0.010s)
2022-11-23T01:20:25.9845179Z   test_feed_random_values_into_graph_only (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9845554Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:20:25.9845767Z ok (0.009s)
2022-11-23T01:20:25.9846119Z   test_multiple_consecutive_random_calls_before_graph (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9846507Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9846716Z ok (0.009s)
2022-11-23T01:20:25.9847022Z   test_no_recompilations (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9847387Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9847611Z ok (0.007s)
2022-11-23T01:20:25.9847904Z   test_numpy_correctness (__main__.UnspecTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:20:25.9848251Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)]
2022-11-23T01:20:25.9848556Z graph_break [('Tensor.numpy', 2), ('numpy', 2)]
2022-11-23T01:20:25.9848876Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9849097Z ok (0.027s)
2022-11-23T01:20:25.9849418Z   test_random_call_with_while_loop (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9849770Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:20:25.9849995Z ok (0.008s)
2022-11-23T01:20:25.9850319Z   test_random_values_with_graph_break (__main__.UnspecTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:20:25.9850568Z unimplemented []
2022-11-23T01:20:25.9850789Z graph_break [('Tensor.item', 2)]
2022-11-23T01:20:25.9851109Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:20:25.9851331Z ok (0.022s)
2022-11-23T01:20:25.9851673Z   test_unspec_float_precision (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:20:25.9852044Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:20:25.9852265Z ok (0.053s)
2022-11-23T01:20:25.9852368Z 
2022-11-23T01:20:25.9852559Z ----------------------------------------------------------------------
2022-11-23T01:20:25.9852804Z Ran 128 tests in 5.714s
2022-11-23T01:20:25.9852921Z 
2022-11-23T01:20:25.9853018Z OK (skipped=2, expected failures=4)
2022-11-23T01:20:25.9853150Z 
2022-11-23T01:20:25.9853236Z Generating XML reports...
2022-11-23T01:20:25.9853650Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecNNModuleTests-20221123012019.xml
2022-11-23T01:20:25.9854189Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecReproTests-20221123012019.xml
2022-11-23T01:20:25.9854729Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecTests-20221123012019.xml
2022-11-23T01:20:25.9854953Z 
2022-11-23T01:20:25.9855278Z ##[endgroup]
2022-11-23T01:20:25.9855676Z FINISHED PRINTING LOG FILE of dynamo/test_unspec (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_unspec_b09wq1um)
2022-11-23T01:20:25.9855901Z 
2022-11-23T01:20:27.9254146Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:20:27.9862181Z Ignoring disabled issues:  []
2022-11-23T01:20:28.0010893Z Running inductor/test_perf ... [2022-11-23 01:20:28.000736]
2022-11-23T01:20:28.0011953Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_perf.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:20:28.001003]
2022-11-23T01:21:17.1436861Z 
2022-11-23T01:21:17.1437406Z Expand the folded group to see the log file of inductor/test_perf
2022-11-23T01:21:17.1438417Z ##[group]PRINTING LOG FILE of inductor/test_perf (/var/lib/jenkins/workspace/test/test-reports/inductor-test_perf_gzm5jm2o)
2022-11-23T01:21:17.1441434Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:17.1441745Z 
2022-11-23T01:21:17.1442199Z ##[endgroup]
2022-11-23T01:21:17.1442957Z FINISHED PRINTING LOG FILE of inductor/test_perf (/var/lib/jenkins/workspace/test/test-reports/inductor-test_perf_gzm5jm2o)
2022-11-23T01:21:17.1443367Z 
2022-11-23T01:21:19.1340891Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:19.1939704Z Ignoring disabled issues:  []
2022-11-23T01:21:19.2095134Z Running inductor/test_smoke ... [2022-11-23 01:21:19.209166]
2022-11-23T01:21:19.2096590Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_smoke.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:19.209444]
2022-11-23T01:21:20.7789676Z 
2022-11-23T01:21:20.7790235Z Expand the folded group to see the log file of inductor/test_smoke
2022-11-23T01:21:20.7791872Z ##[group]PRINTING LOG FILE of inductor/test_smoke (/var/lib/jenkins/workspace/test/test-reports/inductor-test_smoke_h1cyuy7s)
2022-11-23T01:21:20.7792307Z 
2022-11-23T01:21:20.7792683Z ##[endgroup]
2022-11-23T01:21:20.7793597Z FINISHED PRINTING LOG FILE of inductor/test_smoke (/var/lib/jenkins/workspace/test/test-reports/inductor-test_smoke_h1cyuy7s)
2022-11-23T01:21:20.7793835Z 
2022-11-23T01:21:22.7337834Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:22.8121929Z Ignoring disabled issues:  []
2022-11-23T01:21:22.8277698Z Running inductor/test_torchinductor ... [2022-11-23 01:21:22.827434]
2022-11-23T01:21:22.8280051Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:22.827726]
2022-11-23T01:21:31.1404010Z 
2022-11-23T01:21:31.1404570Z Expand the folded group to see the log file of inductor/test_minifier
2022-11-23T01:21:31.1405636Z ##[group]PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_z8vt09ig)
2022-11-23T01:21:31.1406105Z 
2022-11-23T01:21:31.1406239Z Running tests...
2022-11-23T01:21:31.1407067Z ----------------------------------------------------------------------
2022-11-23T01:21:31.1407747Z Test results will be stored in test-reports/python-unittest/inductor.test_minifier
2022-11-23T01:21:31.1408309Z   test_after_aot_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (47.884s)
2022-11-23T01:21:31.1408958Z   test_after_aot_cpu_accuracy_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s)
2022-11-23T01:21:31.1409590Z   test_after_aot_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (9.754s)
2022-11-23T01:21:31.1410256Z   test_after_aot_cpu_compile_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:21:31.1410872Z   test_after_aot_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (7.800s)
2022-11-23T01:21:31.1411721Z   test_after_aot_cpu_runtime_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s)
2022-11-23T01:21:31.1412419Z   test_after_aot_cuda_accuracy_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:21:31.1413046Z   test_after_aot_cuda_accuracy_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:21:31.1413646Z   test_after_aot_cuda_compile_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:21:31.1414262Z   test_after_aot_cuda_compile_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:21:31.1414838Z   test_after_aot_cuda_runtime_backend_passes (__main__.MinifierTests) ... skip:  (0.000s)
2022-11-23T01:21:31.1415342Z   test_after_aot_cuda_runtime_error (__main__.MinifierTests) ... skip:  (0.000s)
2022-11-23T01:21:31.1415637Z 
2022-11-23T01:21:31.1416056Z ----------------------------------------------------------------------
2022-11-23T01:21:31.1416666Z Ran 12 tests in 65.441s
2022-11-23T01:21:31.1416861Z 
2022-11-23T01:21:31.1416994Z OK (skipped=9)
2022-11-23T01:21:31.1417180Z 
2022-11-23T01:21:31.1417310Z Generating XML reports...
2022-11-23T01:21:31.1418076Z Generated XML report: test-reports/python-unittest/inductor.test_minifier/TEST-MinifierTests-20221123012025.xml
2022-11-23T01:21:31.1418495Z 
2022-11-23T01:21:31.1418926Z ##[endgroup]
2022-11-23T01:21:31.1419633Z FINISHED PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_z8vt09ig)
2022-11-23T01:21:31.1420040Z 
2022-11-23T01:21:33.1286167Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:33.2081339Z Ignoring disabled issues:  []
2022-11-23T01:21:33.2228616Z Running lazy/test_bindings ... [2022-11-23 01:21:33.222590]
2022-11-23T01:21:33.2230890Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_bindings.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:33.222855]
2022-11-23T01:21:34.6571769Z 
2022-11-23T01:21:34.6577226Z Expand the folded group to see the log file of lazy/test_bindings
2022-11-23T01:21:34.6582704Z ##[group]PRINTING LOG FILE of lazy/test_bindings (/var/lib/jenkins/workspace/test/test-reports/lazy-test_bindings_jenlmcyu)
2022-11-23T01:21:34.6587681Z 
2022-11-23T01:21:34.6592287Z ##[endgroup]
2022-11-23T01:21:34.6597297Z FINISHED PRINTING LOG FILE of lazy/test_bindings (/var/lib/jenkins/workspace/test/test-reports/lazy-test_bindings_jenlmcyu)
2022-11-23T01:21:34.6601804Z 
2022-11-23T01:21:36.6070033Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:36.6670379Z Ignoring disabled issues:  []
2022-11-23T01:21:36.6819049Z Running lazy/test_debug_util ... [2022-11-23 01:21:36.681539]
2022-11-23T01:21:36.6820491Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_debug_util.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:36.681831]
2022-11-23T01:21:38.6991302Z 
2022-11-23T01:21:38.6992155Z Expand the folded group to see the log file of lazy/test_debug_util
2022-11-23T01:21:38.6993383Z ##[group]PRINTING LOG FILE of lazy/test_debug_util (/var/lib/jenkins/workspace/test/test-reports/lazy-test_debug_util_ysa4wy5d)
2022-11-23T01:21:38.6993758Z 
2022-11-23T01:21:38.6993837Z Running tests...
2022-11-23T01:21:38.6994258Z ----------------------------------------------------------------------
2022-11-23T01:21:38.6994637Z Test results will be stored in test-reports/python-unittest/lazy.test_debug_util
2022-11-23T01:21:38.6994955Z   test_get_python_frames (__main__.DebugUtilTest) ... ok (0.288s)
2022-11-23T01:21:38.6995115Z 
2022-11-23T01:21:38.6995316Z ----------------------------------------------------------------------
2022-11-23T01:21:38.6995558Z Ran 1 test in 0.288s
2022-11-23T01:21:38.6995662Z 
2022-11-23T01:21:38.6995725Z OK
2022-11-23T01:21:38.6995825Z 
2022-11-23T01:21:38.6995922Z Generating XML reports...
2022-11-23T01:21:38.6996583Z Generated XML report: test-reports/python-unittest/lazy.test_debug_util/TEST-DebugUtilTest-20221123012138.xml
2022-11-23T01:21:38.6996816Z 
2022-11-23T01:21:38.6997061Z ##[endgroup]
2022-11-23T01:21:38.6997461Z FINISHED PRINTING LOG FILE of lazy/test_debug_util (/var/lib/jenkins/workspace/test/test-reports/lazy-test_debug_util_ysa4wy5d)
2022-11-23T01:21:38.6997686Z 
2022-11-23T01:21:40.6227753Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:40.6989146Z Ignoring disabled issues:  []
2022-11-23T01:21:40.7134773Z Running lazy/test_extract_compiled_graph ... [2022-11-23 01:21:40.713232]
2022-11-23T01:21:40.7137384Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_extract_compiled_graph.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:40.713481]
2022-11-23T01:21:42.1529836Z 
2022-11-23T01:21:42.1530437Z Expand the folded group to see the log file of lazy/test_extract_compiled_graph
2022-11-23T01:21:42.1531510Z ##[group]PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_2slaiq7u)
2022-11-23T01:21:42.1531766Z 
2022-11-23T01:21:42.1531988Z ##[endgroup]
2022-11-23T01:21:42.1532513Z FINISHED PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_2slaiq7u)
2022-11-23T01:21:42.1532768Z 
2022-11-23T01:21:44.1036840Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:44.1794494Z Ignoring disabled issues:  []
2022-11-23T01:21:44.1941185Z Running lazy/test_meta_kernel ... [2022-11-23 01:21:44.193823]
2022-11-23T01:21:44.1943177Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_meta_kernel.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:44.194076]
2022-11-23T01:21:45.8105341Z 
2022-11-23T01:21:45.8105931Z Expand the folded group to see the log file of lazy/test_meta_kernel
2022-11-23T01:21:45.8106928Z ##[group]PRINTING LOG FILE of lazy/test_meta_kernel (/var/lib/jenkins/workspace/test/test-reports/lazy-test_meta_kernel_o69cd52u)
2022-11-23T01:21:45.8107271Z 
2022-11-23T01:21:45.8107644Z ##[endgroup]
2022-11-23T01:21:45.8108739Z FINISHED PRINTING LOG FILE of lazy/test_meta_kernel (/var/lib/jenkins/workspace/test/test-reports/lazy-test_meta_kernel_o69cd52u)
2022-11-23T01:21:45.8109311Z 
2022-11-23T01:21:47.7288727Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:47.8079891Z Ignoring disabled issues:  []
2022-11-23T01:21:47.8228195Z Running lazy/test_reuse_ir ... [2022-11-23 01:21:47.822478]
2022-11-23T01:21:47.8229727Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:47.822743]
2022-11-23T01:21:49.9500424Z 
2022-11-23T01:21:49.9501017Z Expand the folded group to see the log file of lazy/test_reuse_ir
2022-11-23T01:21:49.9502494Z ##[group]PRINTING LOG FILE of lazy/test_reuse_ir (/var/lib/jenkins/workspace/test/test-reports/lazy-test_reuse_ir_xdlix_t1)
2022-11-23T01:21:49.9503080Z 
2022-11-23T01:21:49.9503249Z Running tests...
2022-11-23T01:21:49.9504288Z ----------------------------------------------------------------------
2022-11-23T01:21:49.9505206Z Test results will be stored in test-reports/python-unittest/lazy.test_reuse_ir
2022-11-23T01:21:49.9507354Z   testAdd (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77722 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.239s)
2022-11-23T01:21:49.9510098Z   testAddSub (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77721 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:21:49.9513071Z   testAddSubFallback (__main__.TestLazyReuseIr) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77723 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:21:49.9514606Z   testBatchNorm (__main__.TestLazyReuseIr) ... ok (0.155s)
2022-11-23T01:21:49.9514940Z 
2022-11-23T01:21:49.9515410Z ----------------------------------------------------------------------
2022-11-23T01:21:49.9515973Z Ran 4 tests in 0.396s
2022-11-23T01:21:49.9516244Z 
2022-11-23T01:21:49.9516407Z OK (skipped=3)
2022-11-23T01:21:49.9516653Z 
2022-11-23T01:21:49.9516855Z Generating XML reports...
2022-11-23T01:21:49.9517854Z Generated XML report: test-reports/python-unittest/lazy.test_reuse_ir/TEST-TestLazyReuseIr-20221123012149.xml
2022-11-23T01:21:49.9518434Z 
2022-11-23T01:21:49.9518995Z ##[endgroup]
2022-11-23T01:21:49.9519926Z FINISHED PRINTING LOG FILE of lazy/test_reuse_ir (/var/lib/jenkins/workspace/test/test-reports/lazy-test_reuse_ir_xdlix_t1)
2022-11-23T01:21:49.9520468Z 
2022-11-23T01:21:51.8771986Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:51.9554805Z Ignoring disabled issues:  []
2022-11-23T01:21:51.9703628Z Running lazy/test_step_closures ... [2022-11-23 01:21:51.970095]
2022-11-23T01:21:51.9706572Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_step_closures.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:51.970374]
2022-11-23T01:21:55.9581991Z 
2022-11-23T01:21:55.9582551Z Expand the folded group to see the log file of lazy/test_step_closures
2022-11-23T01:21:55.9583654Z ##[group]PRINTING LOG FILE of lazy/test_step_closures (/var/lib/jenkins/workspace/test/test-reports/lazy-test_step_closures_8vjkgalf)
2022-11-23T01:21:55.9584036Z 
2022-11-23T01:21:55.9584145Z Running tests...
2022-11-23T01:21:55.9584832Z ----------------------------------------------------------------------
2022-11-23T01:21:55.9585578Z Test results will be stored in test-reports/python-unittest/lazy.test_step_closures
2022-11-23T01:21:55.9586060Z   test_asynchronous (__main__.ClosuresTest) ... ok (0.238s)
2022-11-23T01:21:55.9586326Z   test_asynchronous_exception (__main__.ClosuresTest) ... ok (1.001s)
2022-11-23T01:21:55.9586600Z   test_synchronous (__main__.ClosuresTest) ... ok (1.002s)
2022-11-23T01:21:55.9586874Z   test_synchronous_exception (__main__.ClosuresTest) ... ok (0.001s)
2022-11-23T01:21:55.9587037Z 
2022-11-23T01:21:55.9587223Z ----------------------------------------------------------------------
2022-11-23T01:21:55.9587463Z Ran 4 tests in 2.242s
2022-11-23T01:21:55.9587577Z 
2022-11-23T01:21:55.9587639Z OK
2022-11-23T01:21:55.9587731Z 
2022-11-23T01:21:55.9587802Z Generating XML reports...
2022-11-23T01:21:55.9588238Z Generated XML report: test-reports/python-unittest/lazy.test_step_closures/TEST-ClosuresTest-20221123012153.xml
2022-11-23T01:21:55.9588475Z 
2022-11-23T01:21:55.9588701Z ##[endgroup]
2022-11-23T01:21:55.9589293Z FINISHED PRINTING LOG FILE of lazy/test_step_closures (/var/lib/jenkins/workspace/test/test-reports/lazy-test_step_closures_8vjkgalf)
2022-11-23T01:21:55.9589514Z 
2022-11-23T01:21:57.9147141Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:21:57.9930695Z Ignoring disabled issues:  []
2022-11-23T01:21:58.0080721Z Running lazy/test_ts_opinfo ... [2022-11-23 01:21:58.007681]
2022-11-23T01:21:58.0081920Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:21:58.007949]
2022-11-23T01:22:00.8602298Z 
2022-11-23T01:22:00.8602872Z Expand the folded group to see the log file of lazy/test_ts_opinfo
2022-11-23T01:22:00.8603991Z ##[group]PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_p_r9xonf)
2022-11-23T01:22:00.8604673Z 
2022-11-23T01:22:00.8604806Z Running tests...
2022-11-23T01:22:00.8605462Z ----------------------------------------------------------------------
2022-11-23T01:22:00.8606169Z Test results will be stored in test-reports/python-unittest/lazy.test_ts_opinfo
2022-11-23T01:22:00.8606743Z   test_nonzero_dynamic (__main__.TestLazyDynamicOps) ... ok (0.170s)
2022-11-23T01:22:00.8607356Z   testConvolutionBackward (__main__.TestLazyTensor) ... skip: Disable until autograd supports symints (0.001s)
2022-11-23T01:22:00.8607946Z   test_tensor_ctr (__main__.TestLazyTensor) ... ok (0.002s)
2022-11-23T01:22:00.8608447Z   test_view_mark_step_preserved (__main__.TestLazyTensor) ... ok (0.003s)
2022-11-23T01:22:00.8608744Z 
2022-11-23T01:22:00.8609113Z ----------------------------------------------------------------------
2022-11-23T01:22:00.8609523Z Ran 4 tests in 0.176s
2022-11-23T01:22:00.8609727Z 
2022-11-23T01:22:00.8609853Z OK (skipped=1)
2022-11-23T01:22:00.8610050Z 
2022-11-23T01:22:00.8610199Z Generating XML reports...
2022-11-23T01:22:00.8610976Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyDynamicOps-20221123012200.xml
2022-11-23T01:22:00.8611952Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyTensor-20221123012200.xml
2022-11-23T01:22:00.8612375Z 
2022-11-23T01:22:00.8612791Z ##[endgroup]
2022-11-23T01:22:00.8613495Z FINISHED PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_p_r9xonf)
2022-11-23T01:22:00.8613903Z 
2022-11-23T01:22:02.8135543Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:02.9041765Z Ignoring disabled issues:  []
2022-11-23T01:22:02.9244509Z Running nn/test_convolution ... [2022-11-23 01:22:02.924129]
2022-11-23T01:22:02.9245924Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_convolution.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:02.924397]
2022-11-23T01:22:11.5747794Z 
2022-11-23T01:22:11.5748381Z Expand the folded group to see the log file of nn/test_convolution
2022-11-23T01:22:11.5749593Z ##[group]PRINTING LOG FILE of nn/test_convolution (/var/lib/jenkins/workspace/test/test-reports/nn-test_convolution_8rsu4w0r)
2022-11-23T01:22:11.5749846Z 
2022-11-23T01:22:11.5749924Z Running tests...
2022-11-23T01:22:11.5750321Z ----------------------------------------------------------------------
2022-11-23T01:22:11.5750711Z Test results will be stored in test-reports/python-unittest/nn.test_convolution
2022-11-23T01:22:11.5751555Z   test_Conv1d_module_same_padding (__main__.TestConvolutionNN) ... /var/lib/jenkins/workspace/test/nn/test_convolution.py:152: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:22:11.5752187Z   expect = F.conv1d(x, module.weight, module.bias, padding='same')
2022-11-23T01:22:11.5752420Z ok (0.005s)
2022-11-23T01:22:11.5752628Z   test_Conv2d_1x1 (__main__.TestConvolutionNN) ... ok (0.006s)
2022-11-23T01:22:11.5753059Z   test_Conv2d_OneDNN (__main__.TestConvolutionNN) ... ok (0.019s)
2022-11-23T01:22:11.5753353Z   test_Conv2d_backward_twice (__main__.TestConvolutionNN) ... ok (0.008s)
2022-11-23T01:22:11.5753698Z   test_Conv2d_groups_nobias (__main__.TestConvolutionNN) ... ok (0.043s)
2022-11-23T01:22:11.5753999Z   test_Conv2d_groups_nobias_v2 (__main__.TestConvolutionNN) ... ok (0.006s)
2022-11-23T01:22:11.5754302Z   test_Conv2d_inconsistent_types (__main__.TestConvolutionNN) ... ok (0.008s)
2022-11-23T01:22:11.5754641Z   test_Conv2d_inconsistent_types_on_GPU_with_cudnn (__main__.TestConvolutionNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:22:11.5755041Z   test_Conv2d_inconsistent_types_on_GPU_without_cudnn (__main__.TestConvolutionNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:22:11.5755389Z   test_Conv2d_missing_argument (__main__.TestConvolutionNN) ... ok (0.001s)
2022-11-23T01:22:11.5755759Z   test_Conv2d_module_same_padding (__main__.TestConvolutionNN) ... ok (0.004s)
2022-11-23T01:22:11.5756048Z   test_Conv3d_groups_nobias (__main__.TestConvolutionNN) ... ok (0.006s)
2022-11-23T01:22:11.5756340Z   test_Conv3d_groups_wbias (__main__.TestConvolutionNN) ... ok (0.005s)
2022-11-23T01:22:11.5756637Z   test_Conv3d_module_same_padding (__main__.TestConvolutionNN) ... ok (0.004s)
2022-11-23T01:22:11.5756984Z   test_ConvTranspose2d_half_cublas_gemm (__main__.TestConvolutionNN) ... skip: CUDA not available (0.000s)
2022-11-23T01:22:11.5757313Z   test_ConvTranspose2d_output_size (__main__.TestConvolutionNN) ... ok (0.003s)
2022-11-23T01:22:11.5757659Z   test_ConvTranspose2d_output_size_downsample_upsample (__main__.TestConvolutionNN) ... ok (4.495s)
2022-11-23T01:22:11.5758007Z   test_ConvTranspose3d_correct_output_size (__main__.TestConvolutionNN) ... ok (0.001s)
2022-11-23T01:22:11.5758314Z   test_conv2d_discontiguous_weight (__main__.TestConvolutionNN) ... ok (0.047s)
2022-11-23T01:22:11.5758619Z   test_conv_backcompat (__main__.TestConvolutionNN) ... ok (0.063s)
2022-11-23T01:22:11.5758952Z   test_conv_cudnn_memory_layout_dominance (__main__.TestConvolutionNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:22:11.5759279Z   test_conv_invalid_groups (__main__.TestConvolutionNN) ... ok (0.001s)
2022-11-23T01:22:11.5759592Z   test_conv_modules_raise_error_on_incorrect_input_size (__main__.TestConvolutionNN) ... ok (0.103s)
2022-11-23T01:22:11.5759909Z   test_conv_padding_mode (__main__.TestConvolutionNN) ... ok (0.001s)
2022-11-23T01:22:11.5760911Z   test_conv_shapecheck (__main__.TestConvolutionNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T01:22:11.5761537Z   warnings.warn(
2022-11-23T01:22:11.5761697Z ok (0.168s)
2022-11-23T01:22:11.5761917Z   test_conv_tbc (__main__.TestConvolutionNN) ... ok (0.005s)
2022-11-23T01:22:11.5762225Z   test_cudnn_non_contiguous (__main__.TestConvolutionNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:22:11.5762559Z   test_cudnn_noncontiguous_weight (__main__.TestConvolutionNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:22:11.5762883Z   test_functional_grad_conv (__main__.TestConvolutionNN) ... ok (0.004s)
2022-11-23T01:22:11.5763179Z   test_functional_grad_conv2d (__main__.TestConvolutionNN) ... ok (0.150s)
2022-11-23T01:22:11.5763471Z   test_grad_conv1d_input (__main__.TestConvolutionNN) ... ok (0.053s)
2022-11-23T01:22:11.5763749Z   test_grad_conv1d_weight (__main__.TestConvolutionNN) ... ok (0.041s)
2022-11-23T01:22:11.5764040Z   test_grad_conv2d_input (__main__.TestConvolutionNN) ... ok (0.064s)
2022-11-23T01:22:11.5764332Z   test_grad_conv2d_weight (__main__.TestConvolutionNN) ... ok (0.053s)
2022-11-23T01:22:11.5764604Z   test_grad_conv3d_input (__main__.TestConvolutionNN) ... ok (0.079s)
2022-11-23T01:22:11.5764928Z   test_grad_conv3d_weight (__main__.TestConvolutionNN) ... ok (0.057s)
2022-11-23T01:22:11.5765260Z   test_grouped_conv_cudnn_nhwc_support (__main__.TestConvolutionNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:22:11.5766273Z   test_invalid_conv1d (__main__.TestConvolutionNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1108: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T01:22:11.5766880Z   warnings.warn(
2022-11-23T01:22:11.5767041Z ok (0.074s)
2022-11-23T01:22:11.5767301Z   test_invalid_conv2d (__main__.TestConvolutionNN) ... ok (0.145s)
2022-11-23T01:22:11.5767583Z   test_invalid_conv3d (__main__.TestConvolutionNN) ... ok (0.072s)
2022-11-23T01:22:11.5767860Z   test_mismatch_shape_conv2d (__main__.TestConvolutionNN) ... ok (0.007s)
2022-11-23T01:22:11.5768151Z   test_nnpack_conv (__main__.TestConvolutionNN) ... ok (0.485s)
2022-11-23T01:22:11.5768478Z   test_thnn_conv_strided_padded_dilated (__main__.TestConvolutionNN) ... skip: CUDA not available (0.002s)
2022-11-23T01:22:11.5768676Z 
2022-11-23T01:22:11.5768865Z ----------------------------------------------------------------------
2022-11-23T01:22:11.5769108Z Ran 43 tests in 6.292s
2022-11-23T01:22:11.5769223Z 
2022-11-23T01:22:11.5769295Z OK (skipped=8)
2022-11-23T01:22:11.5769402Z 
2022-11-23T01:22:11.5769486Z Generating XML reports...
2022-11-23T01:22:11.5769893Z Generated XML report: test-reports/python-unittest/nn.test_convolution/TEST-TestConvolutionNN-20221123012204.xml
2022-11-23T01:22:11.5770136Z 
2022-11-23T01:22:11.5770416Z ##[endgroup]
2022-11-23T01:22:11.5770815Z FINISHED PRINTING LOG FILE of nn/test_convolution (/var/lib/jenkins/workspace/test/test-reports/nn-test_convolution_8rsu4w0r)
2022-11-23T01:22:11.5771045Z 
2022-11-23T01:22:13.5133000Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:13.5923892Z Ignoring disabled issues:  []
2022-11-23T01:22:13.6073839Z Running nn/test_dropout ... [2022-11-23 01:22:13.607039]
2022-11-23T01:22:13.6075018Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_dropout.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:13.607290]
2022-11-23T01:22:15.6990288Z 
2022-11-23T01:22:15.6990794Z Expand the folded group to see the log file of nn/test_dropout
2022-11-23T01:22:15.6992047Z ##[group]PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_tg580ym4)
2022-11-23T01:22:15.6992478Z 
2022-11-23T01:22:15.6992585Z Running tests...
2022-11-23T01:22:15.6992986Z ----------------------------------------------------------------------
2022-11-23T01:22:15.6993373Z Test results will be stored in test-reports/python-unittest/nn.test_dropout
2022-11-23T01:22:15.6993764Z   test_AlphaDropout (__main__.TestDropoutNN) ... ok (0.003s)
2022-11-23T01:22:15.6994055Z   test_FeatureAlphaDropout (__main__.TestDropoutNN) ... ok (0.122s)
2022-11-23T01:22:15.6994329Z   test_invalid_dropout_p (__main__.TestDropoutNN) ... ok (0.001s)
2022-11-23T01:22:15.6994644Z   test_native_dropout_corner_case (__main__.TestDropoutNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:22:15.6994833Z 
2022-11-23T01:22:15.6995034Z ----------------------------------------------------------------------
2022-11-23T01:22:15.6995278Z Ran 4 tests in 0.127s
2022-11-23T01:22:15.6995378Z 
2022-11-23T01:22:15.6995454Z OK (skipped=1)
2022-11-23T01:22:15.6995564Z 
2022-11-23T01:22:15.6995648Z Generating XML reports...
2022-11-23T01:22:15.6996060Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221123012215.xml
2022-11-23T01:22:15.6996290Z 
2022-11-23T01:22:15.6996509Z ##[endgroup]
2022-11-23T01:22:15.6997076Z FINISHED PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_tg580ym4)
2022-11-23T01:22:15.6997298Z 
2022-11-23T01:22:17.6629939Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:17.7396787Z Ignoring disabled issues:  []
2022-11-23T01:22:17.7545438Z Running nn/test_embedding ... [2022-11-23 01:22:17.754249]
2022-11-23T01:22:17.7547606Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_embedding.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:17.754507]
2022-11-23T01:22:19.7473176Z 
2022-11-23T01:22:19.7473733Z Expand the folded group to see the log file of nn/test_embedding
2022-11-23T01:22:19.7474955Z ##[group]PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_aydrtyo5)
2022-11-23T01:22:19.7475562Z 
2022-11-23T01:22:19.7475962Z Running tests...
2022-11-23T01:22:19.7476782Z ----------------------------------------------------------------------
2022-11-23T01:22:19.7477712Z Test results will be stored in test-reports/python-unittest/nn.test_embedding
2022-11-23T01:22:19.7478490Z   test_embedding_bag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.003s)
2022-11-23T01:22:19.7479280Z   test_embedding_bag_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7480058Z   test_embedding_bag_functional (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T01:22:19.7480787Z   test_embedding_bag_padding_idx_error (__main__.TestEmbeddingNN) ... ok (0.012s)
2022-11-23T01:22:19.7481553Z   test_embedding_from_pretrained_float32 (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7482331Z   test_embedding_from_pretrained_float64 (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7483093Z   test_embedding_from_pretrained_int16 (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7483851Z   test_embedding_from_pretrained_int32 (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7484589Z   test_embedding_from_pretrained_int64 (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7485361Z   test_embedding_from_pretrained_int8 (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7486108Z   test_embedding_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7486884Z   test_embedding_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7487648Z   test_embedding_from_pretrained_uint8 (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7488367Z   test_embedding_functional (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T01:22:19.7489030Z   test_embedding_max_norm (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7489839Z   test_embedding_max_norm_unsorted_repeating_indices (__main__.TestEmbeddingNN) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:22:19.7490677Z   test_embedding_sparse_basic (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7491366Z   test_embedding_sparse_empty_tensor (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7492126Z   test_embeddingbag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.001s)
2022-11-23T01:22:19.7492896Z   test_embeddingbag_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T01:22:19.7493641Z   test_move_sparse_half_embedding (__main__.TestEmbeddingNN) ... ok (0.002s)
2022-11-23T01:22:19.7494044Z 
2022-11-23T01:22:19.7494545Z ----------------------------------------------------------------------
2022-11-23T01:22:19.7495124Z Ran 21 tests in 0.040s
2022-11-23T01:22:19.7495389Z 
2022-11-23T01:22:19.7495555Z OK (skipped=1)
2022-11-23T01:22:19.7495807Z 
2022-11-23T01:22:19.7495990Z Generating XML reports...
2022-11-23T01:22:19.7497230Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNN-20221123012219.xml
2022-11-23T01:22:19.7497817Z 
2022-11-23T01:22:19.7498354Z ##[endgroup]
2022-11-23T01:22:19.7499213Z FINISHED PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_aydrtyo5)
2022-11-23T01:22:19.7499936Z 
2022-11-23T01:22:21.6891800Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:21.7715410Z Ignoring disabled issues:  []
2022-11-23T01:22:21.7864267Z Running nn/test_lazy_modules ... [2022-11-23 01:22:21.786103]
2022-11-23T01:22:21.7865865Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_lazy_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:21.786383]
2022-11-23T01:22:24.1908254Z 
2022-11-23T01:22:24.1908833Z Expand the folded group to see the log file of nn/test_lazy_modules
2022-11-23T01:22:24.1909916Z ##[group]PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_621csium)
2022-11-23T01:22:24.1910407Z 
2022-11-23T01:22:24.1910522Z Running tests...
2022-11-23T01:22:24.1911416Z ----------------------------------------------------------------------
2022-11-23T01:22:24.1912109Z Test results will be stored in test-reports/python-unittest/nn.test_lazy_modules
2022-11-23T01:22:24.1912695Z   test_chained_initialization (__main__.TestLazyModules) ... ok (0.081s)
2022-11-23T01:22:24.1913214Z   test_invalid_functions (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1914545Z   test_lazy_batchnorm1d (__main__.TestLazyModules) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:22:24.1915484Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:22:24.1915898Z ok (0.009s)
2022-11-23T01:22:24.1916296Z   test_lazy_batchnorm1d_pickle (__main__.TestLazyModules) ... ok (0.008s)
2022-11-23T01:22:24.1916818Z   test_lazy_batchnorm1d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1917336Z   test_lazy_batchnorm2d (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:22:24.1917834Z   test_lazy_batchnorm2d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:22:24.1918364Z   test_lazy_batchnorm2d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1918867Z   test_lazy_batchnorm3d (__main__.TestLazyModules) ... ok (0.006s)
2022-11-23T01:22:24.1919372Z   test_lazy_batchnorm3d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:22:24.1919874Z   test_lazy_batchnorm3d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1920363Z   test_lazy_conv1d (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:22:24.1920855Z   test_lazy_conv1d_pickle (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:22:24.1921338Z   test_lazy_conv1d_state (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1921816Z   test_lazy_conv2d (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:22:24.1922293Z   test_lazy_conv2d_pickle (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1922772Z   test_lazy_conv2d_state (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1923247Z   test_lazy_conv3d (__main__.TestLazyModules) ... ok (0.015s)
2022-11-23T01:22:24.1923739Z   test_lazy_conv3d_pickle (__main__.TestLazyModules) ... ok (0.007s)
2022-11-23T01:22:24.1924247Z   test_lazy_conv3d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1924762Z   test_lazy_conv_transpose1d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:22:24.1925319Z   test_lazy_conv_transpose1d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1925851Z   test_lazy_conv_transpose2d (__main__.TestLazyModules) ... ok (0.014s)
2022-11-23T01:22:24.1926344Z   test_lazy_conv_transpose2d_pickle (__main__.TestLazyModules) ... ok (0.006s)
2022-11-23T01:22:24.1926852Z   test_lazy_conv_transpose2d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1927376Z   test_lazy_conv_transpose3d (__main__.TestLazyModules) ... ok (0.153s)
2022-11-23T01:22:24.1927901Z   test_lazy_conv_transpose3d_pickle (__main__.TestLazyModules) ... ok (0.054s)
2022-11-23T01:22:24.1928600Z   test_lazy_conv_transpose3d_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1929149Z   test_lazy_conv_transposed1d (__main__.TestLazyModules) ... ok (0.008s)
2022-11-23T01:22:24.1929624Z   test_lazy_forward_hook (__main__.TestLazyModules)
2022-11-23T01:22:24.1930911Z This test is to test whether lazymodule can register other forward hook ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:22:24.1931950Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:22:24.1932370Z ok (0.002s)
2022-11-23T01:22:24.1932768Z   test_lazy_instancenorm1d (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:22:24.1933371Z   test_lazy_instancenorm1d_pickle (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:22:24.1933907Z   test_lazy_instancenorm1d_state (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:22:24.1934432Z   test_lazy_instancenorm2d (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:22:24.1934923Z   test_lazy_instancenorm2d_pickle (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:22:24.1935470Z   test_lazy_instancenorm2d_state (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:22:24.1935949Z   test_lazy_instancenorm3d (__main__.TestLazyModules) ... ok (0.007s)
2022-11-23T01:22:24.1936753Z   test_lazy_instancenorm3d_pickle (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:22:24.1937284Z   test_lazy_instancenorm3d_state (__main__.TestLazyModules) ... ok (0.004s)
2022-11-23T01:22:24.1937827Z   test_lazy_linear_pickle (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1938350Z   test_lazy_module_buffer (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1938875Z   test_lazy_module_jit_buffer (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1939414Z   test_lazy_module_jit_param (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1939955Z   test_lazy_module_parameter (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:22:24.1940469Z   test_lazy_pre_forward_hook (__main__.TestLazyModules)
2022-11-23T01:22:24.1941761Z This test is to test whether lazymodule can register other pre-forward hook ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:22:24.1942785Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:22:24.1943165Z ok (0.001s)
2022-11-23T01:22:24.1943530Z   test_lazy_share_memory_buffer (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1944046Z   test_lazy_share_memory_param (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1944539Z   test_linear (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1944988Z   test_linear_state (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1945491Z   test_materialize_device (__main__.TestLazyModules) ... skip: CUDA not available (0.000s)
2022-11-23T01:22:24.1945998Z   test_materialize_dtype (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1946480Z   test_optimizer_pass (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:22:24.1946955Z   test_spectral_norm (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1947373Z   test_weight_norm (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:22:24.1947612Z 
2022-11-23T01:22:24.1947982Z ----------------------------------------------------------------------
2022-11-23T01:22:24.1948356Z Ran 54 tests in 0.479s
2022-11-23T01:22:24.1948528Z 
2022-11-23T01:22:24.1948646Z OK (skipped=1)
2022-11-23T01:22:24.1948815Z 
2022-11-23T01:22:24.1948956Z Generating XML reports...
2022-11-23T01:22:24.1949694Z Generated XML report: test-reports/python-unittest/nn.test_lazy_modules/TEST-TestLazyModules-20221123012223.xml
2022-11-23T01:22:24.1950092Z 
2022-11-23T01:22:24.1950685Z ##[endgroup]
2022-11-23T01:22:24.1951414Z FINISHED PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_621csium)
2022-11-23T01:22:24.1951812Z 
2022-11-23T01:22:26.1346429Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:26.2124532Z Ignoring disabled issues:  []
2022-11-23T01:22:26.2273943Z Running nn/test_module_hooks ... [2022-11-23 01:22:26.227105]
2022-11-23T01:22:26.2275928Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_module_hooks.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:26.227384]
2022-11-23T01:22:28.2879534Z 
2022-11-23T01:22:28.2880422Z Expand the folded group to see the log file of nn/test_module_hooks
2022-11-23T01:22:28.2881544Z ##[group]PRINTING LOG FILE of nn/test_module_hooks (/var/lib/jenkins/workspace/test/test-reports/nn-test_module_hooks_cjxdfleu)
2022-11-23T01:22:28.2881980Z 
2022-11-23T01:22:28.2882042Z Running tests...
2022-11-23T01:22:28.2882479Z ----------------------------------------------------------------------
2022-11-23T01:22:28.2882875Z Test results will be stored in test-reports/python-unittest/nn.test_module_hooks
2022-11-23T01:22:28.2883184Z   test_forward_hooks (__main__.TestModuleHooks) ... ok (0.254s)
2022-11-23T01:22:28.2883451Z   test_forward_pre_hooks (__main__.TestModuleHooks) ... ok (0.005s)
2022-11-23T01:22:28.2883738Z   test_full_backward_hooks (__main__.TestModuleHooks) ... ok (0.005s)
2022-11-23T01:22:28.2884028Z   test_full_backward_pre_hooks (__main__.TestModuleHooks) ... ok (0.004s)
2022-11-23T01:22:28.2884299Z   test_mixed_hooks (__main__.TestModuleHooks) ... ok (0.004s)
2022-11-23T01:22:28.2884455Z 
2022-11-23T01:22:28.2884652Z ----------------------------------------------------------------------
2022-11-23T01:22:28.2884896Z Ran 5 tests in 0.272s
2022-11-23T01:22:28.2885013Z 
2022-11-23T01:22:28.2885074Z OK
2022-11-23T01:22:28.2885152Z 
2022-11-23T01:22:28.2885235Z Generating XML reports...
2022-11-23T01:22:28.2885665Z Generated XML report: test-reports/python-unittest/nn.test_module_hooks/TEST-TestModuleHooks-20221123012227.xml
2022-11-23T01:22:28.2885904Z 
2022-11-23T01:22:28.2886139Z ##[endgroup]
2022-11-23T01:22:28.2886520Z FINISHED PRINTING LOG FILE of nn/test_module_hooks (/var/lib/jenkins/workspace/test/test-reports/nn-test_module_hooks_cjxdfleu)
2022-11-23T01:22:28.2886744Z 
2022-11-23T01:22:30.2421758Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:30.3229338Z Ignoring disabled issues:  []
2022-11-23T01:22:30.3379555Z Running nn/test_packed_sequence ... [2022-11-23 01:22:30.337652]
2022-11-23T01:22:30.3381219Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_packed_sequence.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:30.337914]
2022-11-23T01:22:32.5531422Z 
2022-11-23T01:22:32.5531962Z Expand the folded group to see the log file of nn/test_packed_sequence
2022-11-23T01:22:32.5533036Z ##[group]PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_gloxxah5)
2022-11-23T01:22:32.5533496Z 
2022-11-23T01:22:32.5533622Z Running tests...
2022-11-23T01:22:32.5534259Z ----------------------------------------------------------------------
2022-11-23T01:22:32.5534958Z Test results will be stored in test-reports/python-unittest/nn.test_packed_sequence
2022-11-23T01:22:32.5535524Z   test_pack_padded_sequence (__main__.PackedSequenceTest) ... ok (0.275s)
2022-11-23T01:22:32.5536052Z   test_pack_sequence (__main__.PackedSequenceTest) ... ok (0.081s)
2022-11-23T01:22:32.5536746Z   test_pad_sequence (__main__.PackedSequenceTest) ... ok (0.014s)
2022-11-23T01:22:32.5537307Z   test_pad_sequence_with_non_iterable_sequences (__main__.PackedSequenceTest) ... ok (0.001s)
2022-11-23T01:22:32.5537876Z   test_pad_sequence_with_tensor_sequences (__main__.PackedSequenceTest) ... ok (0.001s)
2022-11-23T01:22:32.5538401Z   test_to (__main__.PackedSequenceTest) ... ok (0.002s)
2022-11-23T01:22:32.5539137Z   test_to_memory_format (__main__.PackedSequenceTest) ... ok (0.001s)
2022-11-23T01:22:32.5539625Z   test_total_length (__main__.PackedSequenceTest) ... ok (0.003s)
2022-11-23T01:22:32.5540079Z   test_type_casts (__main__.PackedSequenceTest)
2022-11-23T01:22:32.5540592Z Test type casting of `PackedSequence` against type casting of tensor ... ok (0.025s)
2022-11-23T01:22:32.5541120Z   test_unpack_sequence (__main__.PackedSequenceTest) ... ok (0.012s)
2022-11-23T01:22:32.5541622Z   test_unpad_sequence (__main__.PackedSequenceTest) ... ok (0.009s)
2022-11-23T01:22:32.5542076Z   test_wrong_order (__main__.PackedSequenceTest) ... ok (0.005s)
2022-11-23T01:22:32.5542334Z 
2022-11-23T01:22:32.5542718Z ----------------------------------------------------------------------
2022-11-23T01:22:32.5543108Z Ran 12 tests in 0.431s
2022-11-23T01:22:32.5543464Z 
2022-11-23T01:22:32.5543568Z OK
2022-11-23T01:22:32.5543734Z 
2022-11-23T01:22:32.5543880Z Generating XML reports...
2022-11-23T01:22:32.5544666Z Generated XML report: test-reports/python-unittest/nn.test_packed_sequence/TEST-PackedSequenceTest-20221123012231.xml
2022-11-23T01:22:32.5545101Z 
2022-11-23T01:22:32.5545544Z ##[endgroup]
2022-11-23T01:22:32.5546296Z FINISHED PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_gloxxah5)
2022-11-23T01:22:32.5546711Z 
2022-11-23T01:22:34.4980195Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:34.5752893Z Ignoring disabled issues:  []
2022-11-23T01:22:34.5902387Z Running profiler/test_memory_profiler ... [2022-11-23 01:22:34.589950]
2022-11-23T01:22:34.5904178Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:34.590203]
2022-11-23T01:22:36.7463357Z 
2022-11-23T01:22:36.7464076Z Expand the folded group to see the log file of profiler/test_memory_profiler
2022-11-23T01:22:36.7465376Z ##[group]PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_3w41vrsm)
2022-11-23T01:22:36.7465823Z 
2022-11-23T01:22:36.7465940Z Running tests...
2022-11-23T01:22:36.7466366Z ----------------------------------------------------------------------
2022-11-23T01:22:36.7466780Z Test results will be stored in test-reports/python-unittest/profiler.test_memory_profiler
2022-11-23T01:22:36.7467319Z   test_match_schemas (__main__.TestDataFlow) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7467784Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7468234Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7468510Z ok (0.254s)
2022-11-23T01:22:36.7468947Z   test_match_schemas_backward (__main__.TestDataFlow) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7469421Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7469871Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7470133Z ok (0.005s)
2022-11-23T01:22:36.7499789Z   test_match_schemas_tensorlist (__main__.TestDataFlow) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7500282Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7500737Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7501009Z ok (0.002s)
2022-11-23T01:22:36.7501469Z   test_extract_gradients_from_module (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7502136Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7502584Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7503268Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:22:36.7541907Z   warnings.warn(message, UserWarning)
2022-11-23T01:22:36.7542688Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7543476Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7544415Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7545162Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7545884Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7546603Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7547356Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7548123Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7548926Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7549370Z ok (0.037s)
2022-11-23T01:22:36.7550241Z   test_extract_gradients_from_module_and_optimizer (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7551190Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7551990Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7552433Z ok (0.010s)
2022-11-23T01:22:36.7553290Z   test_extract_gradients_from_optimizer (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7554308Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7555086Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7555865Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7556642Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7557439Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7558196Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7558964Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7559761Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7560543Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7561295Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7562090Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7562557Z ok (0.041s)
2022-11-23T01:22:36.7563564Z   test_extract_gradients_from_optimizer_set_to_none (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7564502Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7565284Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7566046Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7566782Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7567584Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7568364Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7569246Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7570028Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7570808Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7571615Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7572409Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7572850Z ok (0.047s)
2022-11-23T01:22:36.7573673Z   test_extract_gradients_low_level (__main__.TestIdentifyGradients) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7574566Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7575376Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7576144Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7577134Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7577935Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7578371Z ok (0.011s)
2022-11-23T01:22:36.7579141Z   test_config_check (__main__.TestMemoryProfiler) ... STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7579996Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7580794Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7581560Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7582330Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7583115Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7583885Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:36.7584643Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:36.7585433Z STAGE:2022-11-23 01:22:36 7550:7550 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:36.7585890Z ok (0.003s)
2022-11-23T01:22:36.7586073Z 
2022-11-23T01:22:36.7586416Z ----------------------------------------------------------------------
2022-11-23T01:22:36.7586838Z Ran 9 tests in 0.411s
2022-11-23T01:22:36.7587040Z 
2022-11-23T01:22:36.7587128Z OK
2022-11-23T01:22:36.7587261Z 
2022-11-23T01:22:36.7587381Z Generating XML reports...
2022-11-23T01:22:36.7588213Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestDataFlow-20221123012235.xml
2022-11-23T01:22:36.7589348Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestIdentifyGradients-20221123012235.xml
2022-11-23T01:22:36.7590497Z Generated XML report: test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestMemoryProfiler-20221123012235.xml
2022-11-23T01:22:36.7590989Z 
2022-11-23T01:22:36.7591514Z ##[endgroup]
2022-11-23T01:22:36.7592353Z FINISHED PRINTING LOG FILE of profiler/test_memory_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_memory_profiler_3w41vrsm)
2022-11-23T01:22:36.7592833Z 
2022-11-23T01:22:38.6695319Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:38.7509642Z Ignoring disabled issues:  []
2022-11-23T01:22:38.7659660Z Running profiler/test_profiler ... [2022-11-23 01:22:38.765633]
2022-11-23T01:22:38.7661367Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:38.765931]
2022-11-23T01:22:47.2247178Z 
2022-11-23T01:22:47.2247926Z Expand the folded group to see the log file of profiler/test_profiler
2022-11-23T01:22:47.2249133Z ##[group]PRINTING LOG FILE of profiler/test_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_e9ssj3tv)
2022-11-23T01:22:47.2249932Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:47.2250187Z 
2022-11-23T01:22:47.2250312Z Running tests...
2022-11-23T01:22:47.2250813Z ----------------------------------------------------------------------
2022-11-23T01:22:47.2251471Z Test results will be stored in test-reports/python-unittest/profiler.test_profiler
2022-11-23T01:22:47.2252070Z   test_execution_graph_alone (__main__.TestExecutionGraph) ... ok (0.009s)
2022-11-23T01:22:47.2252623Z   test_execution_graph_no_capture (__main__.TestExecutionGraph) ... ok (0.001s)
2022-11-23T01:22:47.2253177Z   test_execution_graph_repeat_in_loop (__main__.TestExecutionGraph) ... ok (0.008s)
2022-11-23T01:22:47.2253716Z   test_execution_graph_start_stop (__main__.TestExecutionGraph) ... ok (0.006s)
2022-11-23T01:22:47.2254396Z   test_execution_graph_with_kineto (__main__.TestExecutionGraph) ... [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2022-11-23T01:22:47.2255051Z [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2022-11-23T01:22:47.2255591Z [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2022-11-23T01:22:47.2256377Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2257330Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2258081Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2258836Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2259609Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2260388Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2260839Z ok (0.019s)
2022-11-23T01:22:47.2261207Z   test_bfs (__main__.TestExperimentalUtils) ... ok (0.001s)
2022-11-23T01:22:47.2261676Z   test_dfs (__main__.TestExperimentalUtils) ... ok (0.001s)
2022-11-23T01:22:47.2263282Z   test_profiler_conv2d_bias_followed_by_batchnorm2d_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82720 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:47.2264695Z   test_profiler_extra_cuda_copy_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s)
2022-11-23T01:22:47.2265389Z   test_profiler_extra_cuda_copy_pattern_benchmark (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.000s)
2022-11-23T01:22:47.2267067Z   test_profiler_for_loop_indexing_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83491 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:47.2268200Z   test_profiler_fp32_matmul_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.000s)
2022-11-23T01:22:47.2269418Z   test_profiler_grad_not_set_to_none_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2270332Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2271122Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2271895Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2272671Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2273466Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2274308Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2275077Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2275874Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2276648Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2277400Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2278185Z STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2278648Z ok (0.050s)
2022-11-23T01:22:47.2279113Z   test_profiler_matmul_dim_fp16_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s)
2022-11-23T01:22:47.2280101Z   test_profiler_name_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:40 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2280946Z STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2281739Z STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2282178Z ok (2.127s)
2022-11-23T01:22:47.2283639Z   test_profiler_optimizer_single_tensor_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82914 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:47.2285143Z   test_profiler_pattern_match_helper (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2286046Z STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2286845Z STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2287290Z ok (0.004s)
2022-11-23T01:22:47.2288264Z   test_profiler_pattern_matcher_json_report (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2289181Z STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2289962Z STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2290414Z ok (0.026s)
2022-11-23T01:22:47.2291281Z   test_profiler_synchronized_dataloader_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2292216Z STAGE:2022-11-23 01:22:42 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2292992Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2293546Z ok (0.105s)
2022-11-23T01:22:47.2299593Z   test_utils_compute_idle_time (__main__.TestExperimentalUtils) ... ok (0.002s)
2022-11-23T01:22:47.2300395Z   test_utils_compute_queue_depth (__main__.TestExperimentalUtils) ... ok (0.002s)
2022-11-23T01:22:47.2301915Z   test_utils_compute_queue_depth_when_no_cuda_events (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2303193Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2304288Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2304909Z ok (0.044s)
2022-11-23T01:22:47.2306036Z   test_utils_compute_self_time (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2307267Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2308354Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2308966Z ok (0.007s)
2022-11-23T01:22:47.2309535Z   test_utils_get_optimizable_events (__main__.TestExperimentalUtils) ... ok (0.006s)
2022-11-23T01:22:47.2310315Z   test_utils_intervals_overlap (__main__.TestExperimentalUtils) ... 5
2022-11-23T01:22:47.2310865Z ok (0.001s)
2022-11-23T01:22:47.2311887Z   test_export_stacks (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2313060Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2314251Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2314881Z ok (0.003s)
2022-11-23T01:22:47.2315860Z   test_flops (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2317022Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2318106Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2318728Z ok (0.080s)
2022-11-23T01:22:47.2319221Z   test_high_level_trace (__main__.TestProfiler)
2022-11-23T01:22:47.2320379Z Checks that python side high level events are recorded. ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2321546Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2322626Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2323705Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2324928Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2325997Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2327057Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2328116Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2329188Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2329811Z ok (0.127s)
2022-11-23T01:22:47.2331652Z   test_kineto (__main__.TestProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88377 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:47.2333269Z   test_kineto_multigpu (__main__.TestProfiler) ... skip: Multiple GPUs needed (0.001s)
2022-11-23T01:22:47.2334499Z   test_kineto_profiler_api (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2335655Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2336886Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2337872Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2338840Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2339832Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2340900Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2341955Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2343196Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2344238Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2345297Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2346377Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2346940Z ok (0.010s)
2022-11-23T01:22:47.2347962Z   test_memory_profiler (__main__.TestProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72280 for platform(s) linux, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:22:47.2349039Z   test_module_hierarchy (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2349742Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2350408Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2351057Z ERROR:2022-11-23 01:22:43 7587:7587 CudaDeviceProperties.cpp:27] cudaGetDeviceCount failed with code 35
2022-11-23T01:22:47.2351423Z ok (0.018s)
2022-11-23T01:22:47.2352256Z   test_nested_tensor_with_shapes (__main__.TestProfiler) ... /var/lib/jenkins/workspace/test/profiler/test_profiler.py:1271: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:22:47.2353006Z   inp = torch.nested.nested_tensor([a, b])
2022-11-23T01:22:47.2353653Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2354260Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2354892Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2355272Z ok (0.003s)
2022-11-23T01:22:47.2355582Z   test_oom_tracing (__main__.TestProfiler) ... ok (0.001s)
2022-11-23T01:22:47.2355921Z   test_profiler_correlation_id (__main__.TestProfiler)
2022-11-23T01:22:47.2356712Z We expect the correlation_id to be unique across multiple invokation of the profiler, ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2357589Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2358223Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2358844Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2359472Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2360099Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2360689Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2361328Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2361977Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2362596Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2363187Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2363813Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2364417Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2365012Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2365644Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2366010Z ok (0.161s)
2022-11-23T01:22:47.2366562Z   test_profiler_fwd_bwd_link (__main__.TestProfiler) ... skip: Disable forward->backward link to workaround profiler crash (0.001s)
2022-11-23T01:22:47.2367325Z   test_profiler_metadata (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2368019Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2368652Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2369016Z ok (0.002s)
2022-11-23T01:22:47.2369607Z   test_profiler_tracing (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2370297Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2370930Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2371539Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2372259Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2372908Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2373497Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2374088Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2374693Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2375348Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2375985Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2376837Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2377226Z ok (0.003s)
2022-11-23T01:22:47.2377933Z   test_profiler_type (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2378607Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2379217Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2379586Z ok (0.003s)
2022-11-23T01:22:47.2379864Z   test_source (__main__.TestProfiler)
2022-11-23T01:22:47.2380568Z Checks that source code attribution works for eager, TS and autograd mode ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2381289Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2381926Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2382290Z ok (0.057s)
2022-11-23T01:22:47.2382929Z   test_tensorboard_trace_handler (__main__.TestProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2383633Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2384264Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2384847Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2385442Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2386092Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2386742Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2387376Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2388039Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2388686Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2389302Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2389939Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2390584Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2391181Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2391827Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2392580Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2393189Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2393960Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2394550Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2395228Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2395840Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2396194Z ok (0.115s)
2022-11-23T01:22:47.2396677Z   test_custom_module_input_op_ids (__main__.TestProfilerCUDA) ... skip: CUDA is required (0.001s)
2022-11-23T01:22:47.2397085Z   test_mem_leak (__main__.TestProfilerCUDA)
2022-11-23T01:22:47.2397658Z Checks that there's no memory leak when using profiler with CUDA ... skip: CUDA is required (0.001s)
2022-11-23T01:22:47.2398111Z   test_custom_module_input_op_ids (__main__.TestProfilerITT) ... ok (0.001s)
2022-11-23T01:22:47.2398562Z   test_datapipe_delegation_with_profiler (__main__.TestRecordFunction) ... ok (0.002s)
2022-11-23T01:22:47.2399349Z   test_datapipe_with_record_function (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2400089Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2400741Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2401114Z ok (0.005s)
2022-11-23T01:22:47.2401796Z   test_datapipe_with_record_function_fork (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2402498Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2403134Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2403493Z ok (0.004s)
2022-11-23T01:22:47.2404080Z   test_record_function (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2404760Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2405380Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2405743Z ok (0.002s)
2022-11-23T01:22:47.2406396Z   test_allocation_id_uniqueness (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2407137Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2407774Z STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2408133Z ok (0.240s)
2022-11-23T01:22:47.2408748Z   test_allocation_ids (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:43 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2409442Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2410080Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2410509Z ok (0.167s)
2022-11-23T01:22:47.2411349Z   test_allocation_ids_with_other_ops (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2412293Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2412935Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2413296Z ok (0.145s)
2022-11-23T01:22:47.2413950Z   test_allocations (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2414739Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2415475Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2416091Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2416989Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2417641Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2417995Z ok (0.143s)
2022-11-23T01:22:47.2419156Z   test_extra_fields (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82719 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:47.2420318Z   test_impl_reuse (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2421030Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2421695Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2422068Z ok (0.221s)
2022-11-23T01:22:47.2422730Z   test_mkldnn_tensors (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2423426Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2424055Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2424431Z ok (0.003s)
2022-11-23T01:22:47.2425613Z   test_module_and_optimizer_ids (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87581 for platform(s) linux, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:22:47.2426794Z   test_nnmodule_params (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2427513Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2428152Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2429154Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:22:47.2429780Z   warnings.warn(message, UserWarning)
2022-11-23T01:22:47.2430052Z ok (0.005s)
2022-11-23T01:22:47.2430676Z   test_optimizer (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2431384Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2432143Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2432507Z ok (0.013s)
2022-11-23T01:22:47.2433166Z   test_optimizer_parameters_adam (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2433986Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2434628Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2434988Z ok (0.038s)
2022-11-23T01:22:47.2435671Z   test_optimizer_parameters_sgd (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2436513Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2437134Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2437502Z ok (0.022s)
2022-11-23T01:22:47.2438129Z   test_pointers_and_ids (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2438809Z [W CPUAllocator.cpp:231] Memory block of unknown size was allocated before the profiling started, profiler results will not include the deallocation event
2022-11-23T01:22:47.2439508Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2440142Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2440526Z ok (0.005s)
2022-11-23T01:22:47.2441695Z   test_scalar_ins (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83247 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:47.2442848Z   test_sparse_tensors (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2443555Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2444218Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2444593Z ok (0.004s)
2022-11-23T01:22:47.2445195Z   test_tensor_lists (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2445904Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2446527Z STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2446895Z ok (0.002s)
2022-11-23T01:22:47.2447974Z   test_tensor_properties (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83113 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:47.2449142Z   test_tensorimpl_invalidation_full (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:44 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2449868Z STAGE:2022-11-23 01:22:45 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2450511Z STAGE:2022-11-23 01:22:45 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2450884Z ok (0.493s)
2022-11-23T01:22:47.2451671Z   test_tensorimpl_invalidation_keep_alive (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:45 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2452441Z STAGE:2022-11-23 01:22:45 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2453110Z STAGE:2022-11-23 01:22:45 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2453742Z STAGE:2022-11-23 01:22:45 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2454380Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2455014Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2455452Z ok (1.060s)
2022-11-23T01:22:47.2456145Z   test_tensorimpl_invalidation_scalar_args (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2457041Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2457689Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2458058Z ok (0.173s)
2022-11-23T01:22:47.2458757Z   test_tensorimpl_invalidation_set (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2459505Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2460169Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2460797Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:47.2461410Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:47.2462048Z STAGE:2022-11-23 01:22:46 7587:7587 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:47.2462391Z ok (0.315s)
2022-11-23T01:22:47.2462542Z 
2022-11-23T01:22:47.2462831Z ----------------------------------------------------------------------
2022-11-23T01:22:47.2463181Z Ran 70 tests in 6.088s
2022-11-23T01:22:47.2463349Z 
2022-11-23T01:22:47.2463459Z OK (skipped=17)
2022-11-23T01:22:47.2463593Z 
2022-11-23T01:22:47.2463709Z Generating XML reports...
2022-11-23T01:22:47.2464316Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestExecutionGraph-20221123012240.xml
2022-11-23T01:22:47.2465119Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestExperimentalUtils-20221123012240.xml
2022-11-23T01:22:47.2465864Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfiler-20221123012240.xml
2022-11-23T01:22:47.2466640Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerITT-20221123012240.xml
2022-11-23T01:22:47.2467395Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestRecordFunction-20221123012240.xml
2022-11-23T01:22:47.2468231Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestTorchTidyProfiler-20221123012240.xml
2022-11-23T01:22:47.2468972Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerCUDA-20221123012240.xml
2022-11-23T01:22:47.2469304Z 
2022-11-23T01:22:47.2469799Z ##[endgroup]
2022-11-23T01:22:47.2470383Z FINISHED PRINTING LOG FILE of profiler/test_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_e9ssj3tv)
2022-11-23T01:22:47.2470720Z 
2022-11-23T01:22:49.1697732Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:49.2474619Z Ignoring disabled issues:  []
2022-11-23T01:22:49.2626547Z Running profiler/test_profiler_tree ... [2022-11-23 01:22:49.262365]
2022-11-23T01:22:49.2628781Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:49.262631]
2022-11-23T01:22:51.2825047Z 
2022-11-23T01:22:51.2825772Z Expand the folded group to see the log file of profiler/test_profiler_tree
2022-11-23T01:22:51.2827158Z ##[group]PRINTING LOG FILE of profiler/test_profiler_tree (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_tree_jr_od1u6)
2022-11-23T01:22:51.2827834Z 
2022-11-23T01:22:51.2828007Z Running tests...
2022-11-23T01:22:51.2828833Z ----------------------------------------------------------------------
2022-11-23T01:22:51.2829790Z Test results will be stored in test-reports/python-unittest/profiler.test_profiler_tree
2022-11-23T01:22:51.2832338Z   test_profiler_experimental_tree (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82499 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.248s)
2022-11-23T01:22:51.2834174Z   test_profiler_experimental_tree_cuda (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s)
2022-11-23T01:22:51.2835311Z   test_profiler_experimental_tree_cuda_detailed (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s)
2022-11-23T01:22:51.2836439Z   test_profiler_experimental_tree_cuda_with_stream (__main__.TestProfilerTree) ... skip: https://github.com/pytorch/pytorch/issues/83606 (0.001s)
2022-11-23T01:22:51.2838906Z   test_profiler_experimental_tree_with_memory (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82501 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:51.2841844Z   test_profiler_experimental_tree_with_memory_and_stack (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83228 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:51.2844839Z   test_profiler_experimental_tree_with_record_function (__main__.TestProfilerTree) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83246 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:22:51.2847052Z   test_profiler_experimental_tree_with_stack_and_modules (__main__.TestProfilerTree) ... STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2848360Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2849448Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2850495Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2851442Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2852532Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2853619Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2854838Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2855938Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2856729Z ok (0.016s)
2022-11-23T01:22:51.2857978Z   test_profiler_experimental_tree_with_stack_and_torch_dispatch (__main__.TestProfilerTree) ... STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2859258Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2860338Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2861376Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2862501Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2863556Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2864603Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2865658Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2866723Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2867343Z ok (0.006s)
2022-11-23T01:22:51.2868559Z   test_profiler_experimental_tree_with_stack_and_torch_function (__main__.TestProfilerTree) ... STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2869871Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2870955Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2872011Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2873068Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2874246Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2875280Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:22:51.2876322Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:22:51.2877400Z STAGE:2022-11-23 01:22:50 7701:7701 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:22:51.2878034Z ok (0.005s)
2022-11-23T01:22:51.2878289Z 
2022-11-23T01:22:51.2878747Z ----------------------------------------------------------------------
2022-11-23T01:22:51.2879324Z Ran 10 tests in 0.281s
2022-11-23T01:22:51.2879583Z 
2022-11-23T01:22:51.2879752Z OK (skipped=7)
2022-11-23T01:22:51.2879978Z 
2022-11-23T01:22:51.2880179Z Generating XML reports...
2022-11-23T01:22:51.2881219Z Generated XML report: test-reports/python-unittest/profiler.test_profiler_tree/TEST-TestProfilerTree-20221123012250.xml
2022-11-23T01:22:51.2881825Z 
2022-11-23T01:22:51.2882391Z ##[endgroup]
2022-11-23T01:22:51.2883424Z FINISHED PRINTING LOG FILE of profiler/test_profiler_tree (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_tree_jr_od1u6)
2022-11-23T01:22:51.2884034Z 
2022-11-23T01:22:53.2127501Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:22:53.2914012Z Ignoring disabled issues:  []
2022-11-23T01:22:53.3064857Z Running test_ao_sparsity ... [2022-11-23 01:22:53.306105]
2022-11-23T01:22:53.3066051Z Executing ['/opt/conda/bin/python', '-bb', 'test_ao_sparsity.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:22:53.306357]
2022-11-23T01:23:00.2907248Z 
2022-11-23T01:23:00.2908022Z Expand the folded group to see the log file of test_ao_sparsity
2022-11-23T01:23:00.2909168Z ##[group]PRINTING LOG FILE of test_ao_sparsity (/var/lib/jenkins/workspace/test/test-reports/test_ao_sparsity_jg8zmrtd)
2022-11-23T01:23:00.2909695Z 
2022-11-23T01:23:00.2909826Z Running tests...
2022-11-23T01:23:00.2910484Z ----------------------------------------------------------------------
2022-11-23T01:23:00.2911172Z Test results will be stored in test-reports/python-unittest/test_ao_sparsity
2022-11-23T01:23:00.2911847Z   test_activation_sparsifier (ao.sparsity.test_activation_sparsifier.TestActivationSparsifier)
2022-11-23T01:23:00.2912527Z Simulates the workflow of the activation sparsifier, starting from object creation ... ok (0.309s)
2022-11-23T01:23:00.2913172Z   test_constructor (ao.sparsity.test_data_scheduler.TestBaseDataScheduler)
2022-11-23T01:23:00.2913712Z Checks if the warning is thrown if the scheduler step is called ... ok (0.002s)
2022-11-23T01:23:00.2914062Z   test_order_of_steps (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.006s)
2022-11-23T01:23:00.2914417Z   test_state_dict (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.003s)
2022-11-23T01:23:00.2914776Z   test_step (ao.sparsity.test_data_scheduler.TestBaseDataScheduler) ... ok (0.008s)
2022-11-23T01:23:00.2915554Z   test_nn_embeddings (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py:104: UserWarning: Replacing existing data of the same name. - Did you mean a different name?
2022-11-23T01:23:00.2916189Z   warnings.warn("Replacing existing data of the same name. - Did you mean a different name?")
2022-11-23T01:23:00.2916439Z ok (0.020s)
2022-11-23T01:23:00.2916707Z   test_nn_parameters (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... ok (0.015s)
2022-11-23T01:23:00.2917087Z   test_tensors (ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier) ... ok (0.015s)
2022-11-23T01:23:00.2917430Z   test_constructor (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.003s)
2022-11-23T01:23:00.2917742Z   test_prepare_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.010s)
2022-11-23T01:23:00.2918064Z   test_prepare_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.003s)
2022-11-23T01:23:00.2918392Z   test_squash_mask_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.010s)
2022-11-23T01:23:00.2918718Z   test_squash_mask_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.003s)
2022-11-23T01:23:00.2919022Z   test_step_conv2d (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.010s)
2022-11-23T01:23:00.2919338Z   test_step_linear (ao.sparsity.test_pruner.TestBasePruner) ... ok (0.006s)
2022-11-23T01:23:00.2919669Z   test_constructor (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2920069Z   test_mask_squash (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.001s)
2022-11-23T01:23:00.2920436Z   test_mask_squash_with_params1 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2920807Z   test_mask_squash_with_params2 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2921175Z   test_mask_squash_with_params3 (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2921524Z   test_prepare_config (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2921872Z   test_state_dict (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.003s)
2022-11-23T01:23:00.2922213Z   test_step (ao.sparsity.test_sparsifier.TestBaseSparsifier) ... ok (0.001s)
2022-11-23T01:23:00.2923007Z   test_convert_without_squash_mask (ao.sparsity.test_composability.TestComposability) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-11-23T01:23:00.2923558Z   warnings.warn(
2022-11-23T01:23:00.2923735Z ok (0.279s)
2022-11-23T01:23:00.2924010Z   test_fusion_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.275s)
2022-11-23T01:23:00.2924369Z   test_q_prep_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.274s)
2022-11-23T01:23:00.2924744Z   test_qat_prep_before_s_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.008s)
2022-11-23T01:23:00.2925118Z   test_s_prep_before_fusion (ao.sparsity.test_composability.TestComposability) ... ok (0.276s)
2022-11-23T01:23:00.2925487Z   test_s_prep_before_q_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.274s)
2022-11-23T01:23:00.2925854Z   test_s_prep_before_qat_prep (ao.sparsity.test_composability.TestComposability) ... ok (0.010s)
2022-11-23T01:23:00.2926252Z   test_constructor (ao.sparsity.test_scheduler.TestCubicScheduler) ... ok (0.003s)
2022-11-23T01:23:00.2927055Z   test_step (ao.sparsity.test_scheduler.TestCubicScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/scheduler/base_scheduler.py:125: UserWarning: Detected call of `scheduler.step()` before `sparsifier.step()`. You have to make sure you run the sparsifier.step() BEFORE any calls to the scheduer.step().
2022-11-23T01:23:00.2927628Z   warnings.warn("Detected call of `scheduler.step()` before `sparsifier.step()`. "
2022-11-23T01:23:00.2927859Z ok (0.002s)
2022-11-23T01:23:00.2928124Z   test_jit_trace (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.086s)
2022-11-23T01:23:00.2928487Z   test_masking_logic (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.002s)
2022-11-23T01:23:00.2928847Z   test_state_dict_preserved (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.005s)
2022-11-23T01:23:00.2929234Z   test_weights_parametrized (ao.sparsity.test_parametrization.TestFakeSparsity) ... ok (0.002s)
2022-11-23T01:23:00.2929613Z   test_q_prep_fx_before_s_prep (ao.sparsity.test_composability.TestFxComposability)
2022-11-23T01:23:00.2930054Z This test checks that the ordering of prepare_fx -> sparse prepare -> convert_fx ... ok (0.296s)
2022-11-23T01:23:00.2930401Z   test_q_prep_fx_s_prep_ref_conv (ao.sparsity.test_composability.TestFxComposability)
2022-11-23T01:23:00.2930851Z This checks that the ordering: prepare_fx -> sparse prepare -> convert_to_reference_fx ... ok (0.293s)
2022-11-23T01:23:00.2931218Z   test_s_prep_before_q_prep_fx (ao.sparsity.test_composability.TestFxComposability)
2022-11-23T01:23:00.2931630Z This test checks that the ordering of sparse prepare -> prepare_fx -> convert_fx ... ok (0.293s)
2022-11-23T01:23:00.2931986Z   test_s_prep_before_qat_prep_fx (ao.sparsity.test_composability.TestFxComposability)
2022-11-23T01:23:00.2932427Z This test checks that the ordering of sparse prepare -> prepare_qat_fx -> convert_fx ... ok (0.026s)
2022-11-23T01:23:00.2932783Z   test_s_prep_q_prep_fx_ref (ao.sparsity.test_composability.TestFxComposability)
2022-11-23T01:23:00.2933210Z This checks that the ordering: sparse prepare -> prepare_fx -> convert_to_reference_fx ... ok (0.292s)
2022-11-23T01:23:00.2933591Z   test_constructor (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2933989Z   test_mask_squash (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2934379Z   test_prepare (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2934765Z   test_sparsity_levels (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.448s)
2022-11-23T01:23:00.2935160Z   test_step (ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier) ... ok (0.272s)
2022-11-23T01:23:00.2935544Z   test_nn_embeddings (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.206s)
2022-11-23T01:23:00.2935919Z   test_nn_parameters (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.194s)
2022-11-23T01:23:00.2936329Z   test_tensors (ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers) ... ok (0.189s)
2022-11-23T01:23:00.2936885Z   test_ptq_quantize_first (ao.sparsity.test_data_sparsifier.TestQuantizationUtils)
2022-11-23T01:23:00.2937220Z The expectation is post_training_sparse_quantize function ... ok (0.008s)
2022-11-23T01:23:00.2937541Z   test_ptq_sparsify_first (ao.sparsity.test_data_sparsifier.TestQuantizationUtils)
2022-11-23T01:23:00.2937871Z The expectation is post_training_sparse_quantize function ... ok (0.005s)
2022-11-23T01:23:00.2938423Z   test_sparse_qlinear (ao.sparsity.test_kernels.TestQuantizedSparseKernels) ... 2022-11-23 01:22:59,342 - root - INFO - static sparse qlinear is only available in fbgemm
2022-11-23T01:23:00.2938902Z 2022-11-23 01:22:59,380 - root - INFO - static sparse qlinear is only available in fbgemm
2022-11-23T01:23:00.2939276Z 2022-11-23 01:22:59,381 - root - INFO - dynamic sparse qlinear is only available in qnnpack
2022-11-23T01:23:00.2939725Z 2022-11-23 01:22:59,382 - root - INFO - dynamic sparse qlinear is only available in qnnpack
2022-11-23T01:23:00.2939957Z ok (0.085s)
2022-11-23T01:23:00.2940545Z   test_sparse_qlinear (ao.sparsity.test_kernels.TestQuantizedSparseLayers) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-11-23T01:23:00.2940971Z   warnings.warn(
2022-11-23T01:23:00.2941316Z [W qlinear_dynamic.cpp:247] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator())
2022-11-23T01:23:00.2941922Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:303: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-11-23T01:23:00.2942242Z   warnings.warn(
2022-11-23T01:23:00.2942413Z ok (0.054s)
2022-11-23T01:23:00.2942701Z   test_sparse_qlinear_serdes (ao.sparsity.test_kernels.TestQuantizedSparseLayers) ... ok (0.086s)
2022-11-23T01:23:00.2943049Z   test_constructor (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s)
2022-11-23T01:23:00.2943383Z   test_lambda_scheduler (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s)
2022-11-23T01:23:00.2943702Z   test_order_of_steps (ao.sparsity.test_scheduler.TestScheduler)
2022-11-23T01:23:00.2944010Z Checks if the warning is thrown if the scheduler step is called ... ok (0.005s)
2022-11-23T01:23:00.2944301Z   test_step (ao.sparsity.test_scheduler.TestScheduler) ... ok (0.001s)
2022-11-23T01:23:00.2944635Z   test_fqn_to_module (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2022-11-23T01:23:00.2944948Z Tests that fqn_to_module operates as inverse ... ok (0.005s)
2022-11-23T01:23:00.2945252Z   test_fqn_to_module_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2022-11-23T01:23:00.2945573Z Tests that fqn_to_module returns None when it tries to ... ok (0.002s)
2022-11-23T01:23:00.2945905Z   test_fqn_to_module_for_tensors (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2022-11-23T01:23:00.2946258Z Tests that fqn_to_module works for tensors, actually all parameters ... ok (0.005s)
2022-11-23T01:23:00.2946596Z   test_get_arg_info_from_tensor_fqn (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2022-11-23T01:23:00.2946954Z Tests that get_arg_info_from_tensor_fqn works for all parameters of the model. ... ok (0.005s)
2022-11-23T01:23:00.2947319Z   test_get_arg_info_from_tensor_fqn_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2022-11-23T01:23:00.2947668Z Tests that get_arg_info_from_tensor_fqn works as expected for invalid tensor_fqn ... ok (0.003s)
2022-11-23T01:23:00.2948010Z   test_module_to_fqn (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2022-11-23T01:23:00.2948346Z Tests that module_to_fqn works as expected when compared to known good ... ok (0.003s)
2022-11-23T01:23:00.2948689Z   test_module_to_fqn_fail (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2022-11-23T01:23:00.2949070Z Tests that module_to_fqn returns None when an fqn that doesn't ... ok (0.002s)
2022-11-23T01:23:00.2949457Z   test_module_to_fqn_root (ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions)
2022-11-23T01:23:00.2949873Z Tests that module_to_fqn returns '' when model and target module are the same ... ok (0.002s)
2022-11-23T01:23:00.2950214Z   test_constructor (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.001s)
2022-11-23T01:23:00.2950587Z   test_mask_squash (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.002s)
2022-11-23T01:23:00.2950954Z   test_prepare (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.001s)
2022-11-23T01:23:00.2951332Z   test_sparsity_levels (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.028s)
2022-11-23T01:23:00.2951687Z   test_step (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.264s)
2022-11-23T01:23:00.2952080Z   test_step_2_of_4 (ao.sparsity.test_sparsifier.TestWeightNormSparsifier) ... ok (0.014s)
2022-11-23T01:23:00.2952282Z 
2022-11-23T01:23:00.2952483Z ----------------------------------------------------------------------
2022-11-23T01:23:00.2952726Z Ran 72 tests in 5.035s
2022-11-23T01:23:00.2952829Z 
2022-11-23T01:23:00.2952893Z OK
2022-11-23T01:23:00.2952983Z 
2022-11-23T01:23:00.2953068Z Generating XML reports...
2022-11-23T01:23:00.2953689Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_activation_sparsifier.TestActivationSparsifier-20221123012254.xml
2022-11-23T01:23:00.2954356Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_scheduler.TestBaseDataScheduler-20221123012254.xml
2022-11-23T01:23:00.2955008Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier-20221123012254.xml
2022-11-23T01:23:00.2955625Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_pruner.TestBasePruner-20221123012254.xml
2022-11-23T01:23:00.2956226Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestBaseSparsifier-20221123012254.xml
2022-11-23T01:23:00.2956840Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestComposability-20221123012254.xml
2022-11-23T01:23:00.2957458Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestCubicScheduler-20221123012254.xml
2022-11-23T01:23:00.2958088Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_parametrization.TestFakeSparsity-20221123012254.xml
2022-11-23T01:23:00.2958726Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestFxComposability-20221123012254.xml
2022-11-23T01:23:00.2959380Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier-20221123012254.xml
2022-11-23T01:23:00.2960062Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers-20221123012254.xml
2022-11-23T01:23:00.2960721Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestQuantizationUtils-20221123012254.xml
2022-11-23T01:23:00.2961372Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseKernels-20221123012254.xml
2022-11-23T01:23:00.2962019Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_kernels.TestQuantizedSparseLayers-20221123012254.xml
2022-11-23T01:23:00.2962619Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestScheduler-20221123012254.xml
2022-11-23T01:23:00.2963254Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsity_utils.TestSparsityUtilFunctions-20221123012254.xml
2022-11-23T01:23:00.2963945Z Generated XML report: test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestWeightNormSparsifier-20221123012254.xml
2022-11-23T01:23:00.2964240Z 
2022-11-23T01:23:00.2964499Z ##[endgroup]
2022-11-23T01:23:00.2964889Z FINISHED PRINTING LOG FILE of test_ao_sparsity (/var/lib/jenkins/workspace/test/test-reports/test_ao_sparsity_jg8zmrtd)
2022-11-23T01:23:00.2965107Z 
2022-11-23T01:23:02.2071969Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:23:02.2848809Z Ignoring disabled issues:  []
2022-11-23T01:23:02.3001105Z Running test_autocast ... [2022-11-23 01:23:02.299819]
2022-11-23T01:23:02.3003259Z Executing ['/opt/conda/bin/python', '-bb', 'test_autocast.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:02.300075]
2022-11-23T01:23:04.4116720Z 
2022-11-23T01:23:04.4117513Z Expand the folded group to see the log file of test_autocast
2022-11-23T01:23:04.4118754Z ##[group]PRINTING LOG FILE of test_autocast (/var/lib/jenkins/workspace/test/test-reports/test_autocast_dc_rzqe1)
2022-11-23T01:23:04.4119152Z 
2022-11-23T01:23:04.4119285Z Running tests...
2022-11-23T01:23:04.4119930Z ----------------------------------------------------------------------
2022-11-23T01:23:04.4120623Z Test results will be stored in test-reports/python-unittest/test_autocast
2022-11-23T01:23:04.4121211Z   test_autocast_methods_expect_builtin_promote (__main__.TestAutocastCPU) ... ok (0.246s)
2022-11-23T01:23:04.4121765Z   test_autocast_nn_bf16 (__main__.TestAutocastCPU) ... ok (0.007s)
2022-11-23T01:23:04.4122275Z   test_autocast_nn_fp32 (__main__.TestAutocastCPU) ... ok (0.009s)
2022-11-23T01:23:04.4122781Z   test_autocast_torch_bf16 (__main__.TestAutocastCPU) ... ok (0.018s)
2022-11-23T01:23:04.4123326Z   test_autocast_torch_expect_builtin_promote (__main__.TestAutocastCPU) ... ok (0.008s)
2022-11-23T01:23:04.4123886Z   test_autocast_torch_fp32 (__main__.TestAutocastCPU) ... ok (0.070s)
2022-11-23T01:23:04.4124448Z   test_autocast_torch_need_autocast_promote (__main__.TestAutocastCPU) ... ok (0.007s)
2022-11-23T01:23:04.4124959Z   test_cast_cache_is_global (__main__.TestAutocastGPU)
2022-11-23T01:23:04.4125498Z Verifies that the autocast cache is global. This is done by ... skip: requires cuda (0.001s)
2022-11-23T01:23:04.4126078Z   test_autocast_fast_dtype (__main__.TestTorchAutocast) ... ok (0.001s)
2022-11-23T01:23:04.4126376Z 
2022-11-23T01:23:04.4126733Z ----------------------------------------------------------------------
2022-11-23T01:23:04.4127158Z Ran 9 tests in 0.368s
2022-11-23T01:23:04.4127356Z 
2022-11-23T01:23:04.4127485Z OK (skipped=1)
2022-11-23T01:23:04.4127679Z 
2022-11-23T01:23:04.4127830Z Generating XML reports...
2022-11-23T01:23:04.4128563Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestAutocastCPU-20221123012303.xml
2022-11-23T01:23:04.4129539Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestTorchAutocast-20221123012303.xml
2022-11-23T01:23:04.4130489Z Generated XML report: test-reports/python-unittest/test_autocast/TEST-TestAutocastGPU-20221123012303.xml
2022-11-23T01:23:04.4130914Z 
2022-11-23T01:23:04.4131300Z ##[endgroup]
2022-11-23T01:23:04.4131989Z FINISHED PRINTING LOG FILE of test_autocast (/var/lib/jenkins/workspace/test/test-reports/test_autocast_dc_rzqe1)
2022-11-23T01:23:04.4132378Z 
2022-11-23T01:23:06.3330362Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:23:06.4118413Z Ignoring disabled issues:  []
2022-11-23T01:23:06.4270584Z Running test_binary_ufuncs ... [2022-11-23 01:23:06.426771]
2022-11-23T01:23:06.4273118Z Executing ['/opt/conda/bin/python', '-bb', 'test_binary_ufuncs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:06.427025]
2022-11-23T01:23:09.1124691Z 
2022-11-23T01:23:09.1125239Z Expand the folded group to see the log file of test_binary_ufuncs
2022-11-23T01:23:09.1126389Z ##[group]PRINTING LOG FILE of test_binary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_binary_ufuncs_7p8znj4z)
2022-11-23T01:23:09.1126826Z 
2022-11-23T01:23:09.1127196Z Running tests...
2022-11-23T01:23:09.1127769Z ----------------------------------------------------------------------
2022-11-23T01:23:09.1127946Z 
2022-11-23T01:23:09.1128225Z ----------------------------------------------------------------------
2022-11-23T01:23:09.1128648Z Ran 0 tests in 0.000s
2022-11-23T01:23:09.1128850Z 
2022-11-23T01:23:09.1128957Z OK
2022-11-23T01:23:09.1129124Z 
2022-11-23T01:23:09.1129279Z Generating XML reports...
2022-11-23T01:23:09.1129900Z Test results will be stored in test-reports/python-unittest/test_binary_ufuncs
2022-11-23T01:23:09.1130234Z 
2022-11-23T01:23:09.1130573Z ##[endgroup]
2022-11-23T01:23:09.1130983Z FINISHED PRINTING LOG FILE of test_binary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_binary_ufuncs_7p8znj4z)
2022-11-23T01:23:09.1131293Z 
2022-11-23T01:23:11.0599107Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:23:11.1357118Z Ignoring disabled issues:  []
2022-11-23T01:23:11.1512749Z Running test_bundled_inputs ... [2022-11-23 01:23:11.150840]
2022-11-23T01:23:11.1513309Z Executing ['/opt/conda/bin/python', '-bb', 'test_bundled_inputs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:11.151113]
2022-11-23T01:23:14.5068398Z 
2022-11-23T01:23:14.5068932Z Expand the folded group to see the log file of test_bundled_inputs
2022-11-23T01:23:14.5070137Z ##[group]PRINTING LOG FILE of test_bundled_inputs (/var/lib/jenkins/workspace/test/test-reports/test_bundled_inputs_s7_t9rq0)
2022-11-23T01:23:14.5070568Z 
2022-11-23T01:23:14.5070687Z Running tests...
2022-11-23T01:23:14.5071352Z ----------------------------------------------------------------------
2022-11-23T01:23:14.5071889Z Test results will be stored in test-reports/python-unittest/test_bundled_inputs
2022-11-23T01:23:14.5072395Z   test_bad_inputs (__main__.TestBundledInputs) ... ok (0.254s)
2022-11-23T01:23:14.5073824Z   test_dict_args (__main__.TestBundledInputs) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:23:14.5074686Z   warnings.warn(message, UserWarning)
2022-11-23T01:23:14.5075051Z ok (1.204s)
2022-11-23T01:23:14.5075475Z   test_double_augment_fail (__main__.TestBundledInputs) ... ok (0.007s)
2022-11-23T01:23:14.5076016Z   test_double_augment_non_mutator (__main__.TestBundledInputs) ... ok (0.007s)
2022-11-23T01:23:14.5076570Z   test_double_augment_success (__main__.TestBundledInputs) ... ok (0.009s)
2022-11-23T01:23:14.5076942Z   test_large_tensor_with_inflation (__main__.TestBundledInputs) ... ok (0.011s)
2022-11-23T01:23:14.5077244Z   test_multiple_methods_with_inputs (__main__.TestBundledInputs) ... ok (0.046s)
2022-11-23T01:23:14.5077589Z   test_multiple_methods_with_inputs_both_defined_failure (__main__.TestBundledInputs) ... ok (0.005s)
2022-11-23T01:23:14.5077952Z   test_multiple_methods_with_inputs_neither_defined_failure (__main__.TestBundledInputs) ... ok (0.004s)
2022-11-23T01:23:14.5078266Z   test_non_tensors (__main__.TestBundledInputs) ... ok (0.008s)
2022-11-23T01:23:14.5078533Z   test_rejected_tensors (__main__.TestBundledInputs) ... ok (0.009s)
2022-11-23T01:23:14.5078817Z   test_single_tensors (__main__.TestBundledInputs) ... ok (0.050s)
2022-11-23T01:23:14.5078976Z 
2022-11-23T01:23:14.5079185Z ----------------------------------------------------------------------
2022-11-23T01:23:14.5079416Z Ran 12 tests in 1.615s
2022-11-23T01:23:14.5079531Z 
2022-11-23T01:23:14.5079595Z OK
2022-11-23T01:23:14.5079688Z 
2022-11-23T01:23:14.5079774Z Generating XML reports...
2022-11-23T01:23:14.5080195Z Generated XML report: test-reports/python-unittest/test_bundled_inputs/TEST-TestBundledInputs-20221123012312.xml
2022-11-23T01:23:14.5080439Z 
2022-11-23T01:23:14.5080668Z ##[endgroup]
2022-11-23T01:23:14.5081259Z FINISHED PRINTING LOG FILE of test_bundled_inputs (/var/lib/jenkins/workspace/test/test-reports/test_bundled_inputs_s7_t9rq0)
2022-11-23T01:23:14.5081488Z 
2022-11-23T01:23:16.5264529Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:23:16.6066675Z Ignoring disabled issues:  []
2022-11-23T01:23:16.6232025Z Running test_comparison_utils ... [2022-11-23 01:23:16.622633]
2022-11-23T01:23:16.6232765Z Executing ['/opt/conda/bin/python', '-bb', 'test_comparison_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:16.622935]
2022-11-23T01:23:18.3232033Z 
2022-11-23T01:23:18.3232638Z Expand the folded group to see the log file of test_comparison_utils
2022-11-23T01:23:18.3234035Z ##[group]PRINTING LOG FILE of test_comparison_utils (/var/lib/jenkins/workspace/test/test-reports/test_comparison_utils__whx1thk)
2022-11-23T01:23:18.3234749Z 
2022-11-23T01:23:18.3235108Z ##[endgroup]
2022-11-23T01:23:18.3236030Z FINISHED PRINTING LOG FILE of test_comparison_utils (/var/lib/jenkins/workspace/test/test-reports/test_comparison_utils__whx1thk)
2022-11-23T01:23:18.3236452Z 
2022-11-23T01:23:20.2971759Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:23:20.3761314Z Ignoring disabled issues:  []
2022-11-23T01:23:20.3916298Z Running test_complex ... [2022-11-23 01:23:20.391297]
2022-11-23T01:23:20.3917985Z Executing ['/opt/conda/bin/python', '-bb', 'test_complex.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:20.391599]
2022-11-23T01:23:22.4846568Z 
2022-11-23T01:23:22.4847086Z Expand the folded group to see the log file of test_complex
2022-11-23T01:23:22.4848115Z ##[group]PRINTING LOG FILE of test_complex (/var/lib/jenkins/workspace/test/test-reports/test_complex_fnntrvsd)
2022-11-23T01:23:22.4849876Z 
2022-11-23T01:23:22.4852161Z Running tests...
2022-11-23T01:23:22.4852959Z ----------------------------------------------------------------------
2022-11-23T01:23:22.4853302Z 
2022-11-23T01:23:22.4853683Z ----------------------------------------------------------------------
2022-11-23T01:23:22.4854014Z Ran 0 tests in 0.000s
2022-11-23T01:23:22.4854130Z 
2022-11-23T01:23:22.4854192Z OK
2022-11-23T01:23:22.4854303Z 
2022-11-23T01:23:22.4854412Z Generating XML reports...
2022-11-23T01:23:22.4854749Z Test results will be stored in test-reports/python-unittest/test_complex
2022-11-23T01:23:22.4854928Z 
2022-11-23T01:23:22.4855245Z ##[endgroup]
2022-11-23T01:23:22.4855609Z FINISHED PRINTING LOG FILE of test_complex (/var/lib/jenkins/workspace/test/test-reports/test_complex_fnntrvsd)
2022-11-23T01:23:22.4855838Z 
2022-11-23T01:23:24.6909420Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:23:24.7681224Z Ignoring disabled issues:  []
2022-11-23T01:23:24.7837757Z Running test_cuda_sanitizer ... [2022-11-23 01:23:24.783399]
2022-11-23T01:23:24.7839131Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_sanitizer.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:24.783701]
2022-11-23T01:23:27.1846159Z 
2022-11-23T01:23:27.1846653Z Expand the folded group to see the log file of test_cuda_sanitizer
2022-11-23T01:23:27.1847594Z ##[group]PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer__lqvh3hf)
2022-11-23T01:23:27.1848136Z CUDA not available, skipping tests
2022-11-23T01:23:27.1848629Z 
2022-11-23T01:23:27.1848932Z Running tests...
2022-11-23T01:23:27.1849597Z ----------------------------------------------------------------------
2022-11-23T01:23:27.1849898Z 
2022-11-23T01:23:27.1850257Z ----------------------------------------------------------------------
2022-11-23T01:23:27.1850649Z Ran 0 tests in 0.000s
2022-11-23T01:23:27.1850848Z 
2022-11-23T01:23:27.1850961Z OK
2022-11-23T01:23:27.1851122Z 
2022-11-23T01:23:27.1851267Z Generating XML reports...
2022-11-23T01:23:27.1851866Z Test results will be stored in test-reports/python-unittest/test_cuda_sanitizer
2022-11-23T01:23:27.1852198Z 
2022-11-23T01:23:27.1852616Z ##[endgroup]
2022-11-23T01:23:27.1853567Z FINISHED PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer__lqvh3hf)
2022-11-23T01:23:27.1853966Z 
2022-11-23T01:23:29.7117391Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:23:29.7923397Z Ignoring disabled issues:  []
2022-11-23T01:23:29.8080512Z Running test_dataloader ... [2022-11-23 01:23:29.807591]
2022-11-23T01:23:29.8082063Z Executing ['/opt/conda/bin/python', '-bb', 'test_dataloader.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:23:29.807900]
2022-11-23T01:24:15.4536331Z 
2022-11-23T01:24:15.4537385Z Expand the folded group to see the log file of test_dataloader
2022-11-23T01:24:15.4538569Z ##[group]PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_wobybhnl)
2022-11-23T01:24:15.4539205Z 
2022-11-23T01:24:15.4539373Z Running tests...
2022-11-23T01:24:15.4578029Z ----------------------------------------------------------------------
2022-11-23T01:24:15.4578453Z Test results will be stored in test-reports/python-unittest/test_dataloader
2022-11-23T01:24:15.4578803Z   test_shuffler_iterdatapipe (__main__.IntegrationTestDataLoaderDataPipe)
2022-11-23T01:24:15.4618031Z Verify ``IterDataPipe.shuffle`` is controlled by ``DataLoader`` ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:24:15.4618730Z   test_add_dataset (__main__.TestConcatDataset) ... ok (0.250s)
2022-11-23T01:24:15.4619239Z   test_concat_raises_index_error (__main__.TestConcatDataset) ... ok (0.001s)
2022-11-23T01:24:15.4619808Z   test_concat_two_non_singletons (__main__.TestConcatDataset) ... ok (0.002s)
2022-11-23T01:24:15.4620264Z   test_concat_two_non_singletons_with_empty (__main__.TestConcatDataset) ... ok (0.001s)
2022-11-23T01:24:15.4620663Z   test_concat_two_singletons (__main__.TestConcatDataset) ... ok (0.001s)
2022-11-23T01:24:15.4621164Z   test_iterable_dataset_err (__main__.TestConcatDataset) ... ok (0.002s)
2022-11-23T01:24:15.4622713Z   test_conv_after_fork (__main__.TestConvAfterFork) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/75492 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4623786Z   test_custom_batch_pin (__main__.TestCustomPinFn) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:24:15.4624352Z   test_custom_batch_pin_worker (__main__.TestCustomPinFn) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:24:15.4624925Z   test_batch_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4625579Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4626432Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4627055Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4627828Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4628219Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4628649Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4628997Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4629415Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4629747Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4630182Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4630685Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4631121Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4631446Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4631877Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4632205Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4632432Z ok (2.942s)
2022-11-23T01:24:15.4633216Z   test_builtin_collection_conversion (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71037 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:24:15.4633953Z   test_bulk_loading_nobatch (__main__.TestDataLoader) ... ok (0.090s)
2022-11-23T01:24:15.4634237Z   test_chain_iterable_style_dataset (__main__.TestDataLoader) ... ok (0.202s)
2022-11-23T01:24:15.4634546Z   test_default_collate_bad_numpy_types (__main__.TestDataLoader) ... ok (0.004s)
2022-11-23T01:24:15.4634859Z   test_default_collate_bad_sequence_type (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4635148Z   test_default_collate_dtype (__main__.TestDataLoader) ... ok (0.003s)
2022-11-23T01:24:15.4635448Z   test_default_collate_mapping_keep_type (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4636602Z   test_default_collate_numpy_memmap (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py:172: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.)
2022-11-23T01:24:15.4637395Z   return collate([torch.as_tensor(b) for b in batch], collate_fn_map=collate_fn_map)
2022-11-23T01:24:15.4637632Z ok (0.004s)
2022-11-23T01:24:15.4637880Z   test_default_collate_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4638188Z   test_default_collate_sequence_keep_type (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4638494Z   test_default_collate_shared_tensor (__main__.TestDataLoader) ... ok (0.003s)
2022-11-23T01:24:15.4638800Z   test_default_convert_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:24:15.4639109Z   test_default_convert_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:24:15.4639429Z   test_default_convert_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:24:15.4639745Z   test_distributed_sampler_invalid_rank (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4640059Z   test_duplicating_data_with_drop_last (__main__.TestDataLoader) ... ok (0.004s)
2022-11-23T01:24:15.4640322Z   test_error (__main__.TestDataLoader) ... ok (0.003s)
2022-11-23T01:24:15.4643072Z   test_error_in_init (__main__.TestDataLoader) ... ok (0.101s)
2022-11-23T01:24:15.4643498Z   test_error_workers (__main__.TestDataLoader) ... ok (0.075s)
2022-11-23T01:24:15.4643928Z   test_excessive_thread_creation_warning (__main__.TestDataLoader) ... ok (0.013s)
2022-11-23T01:24:15.4644326Z   test_fd_limit_exceeded (__main__.TestDataLoader) ... ok (1.587s)
2022-11-23T01:24:15.4645179Z   test_get_worker_info (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4645749Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4646514Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4646995Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4647317Z ok (3.450s)
2022-11-23T01:24:15.4647618Z   test_growing_dataset (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4648037Z   test_invalid_assign_after_init (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:24:15.4648494Z   test_invalid_ctor_args_combinations (__main__.TestDataLoader) ... ok (0.004s)
2022-11-23T01:24:15.4649838Z   test_iterable_style_dataset (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73055 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:24:15.4650854Z   test_iterabledataset_len (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4651639Z   test_large_sampler_indices (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4652167Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4652797Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4653294Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4653615Z ok (3.220s)
2022-11-23T01:24:15.4653892Z   test_len (__main__.TestDataLoader) ... ok (0.008s)
2022-11-23T01:24:15.4654294Z   test_multi_epochs_reproducibility (__main__.TestDataLoader) ... ok (0.123s)
2022-11-23T01:24:15.4655130Z   test_multiple_dataloaders (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4655693Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4656323Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4657046Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4657677Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4658126Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4658732Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4659247Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4659913Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4660409Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4661051Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4661591Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4662232Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4662706Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4663350Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4663861Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4664179Z ok (3.394s)
2022-11-23T01:24:15.4665485Z   test_multiprocessing_contexts (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71229 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4667135Z   test_multiprocessing_iterdatapipe (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74498 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4668329Z   test_no_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4668975Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4669601Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4670093Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4670414Z ok (1.750s)
2022-11-23T01:24:15.4670727Z   test_numpy (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4671094Z   test_numpy_gen_state (__main__.TestDataLoader) ... ok (0.004s)
2022-11-23T01:24:15.4671477Z   test_numpy_scalars (__main__.TestDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4671842Z   test_partial_workers (__main__.TestDataLoader)
2022-11-23T01:24:15.4673093Z Check that workers exit even if the iterator is not exhausted. ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81034 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4673974Z   test_proper_exit (__main__.TestDataLoader)
2022-11-23T01:24:15.4675326Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70517 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:24:15.4676229Z   test_random_sampler (__main__.TestDataLoader) ... ok (0.003s)
2022-11-23T01:24:15.4676653Z   test_random_sampler_len_with_replacement (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:24:15.4677105Z   test_random_sampler_len_without_replacement (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:24:15.4678017Z   test_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4678543Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4681396Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4681785Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4682266Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4682741Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4683462Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4684017Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4684768Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4685389Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4686204Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4686852Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4687465Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4687798Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4688230Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4688575Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4688790Z ok (2.463s)
2022-11-23T01:24:15.4689029Z   test_sampler_reproducibility (__main__.TestDataLoader) ... ok (0.016s)
2022-11-23T01:24:15.4689590Z   test_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4689951Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4690383Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4690727Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4690952Z ok (4.290s)
2022-11-23T01:24:15.4691709Z   test_seqential_batch_workers (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81891 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4692340Z   test_seqential_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.119s)
2022-11-23T01:24:15.4692636Z   test_sequential_batch (__main__.TestDataLoader) ... ok (0.041s)
2022-11-23T01:24:15.4692917Z   test_sequential_nonbatch (__main__.TestDataLoader) ... ok (0.022s)
2022-11-23T01:24:15.4693227Z   test_sequential_pin_memory (__main__.TestDataLoader) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:24:15.4693521Z   test_sequential_workers (__main__.TestDataLoader) ... ok (0.164s)
2022-11-23T01:24:15.4693788Z   test_shuffle (__main__.TestDataLoader) ... ok (0.062s)
2022-11-23T01:24:15.4694050Z   test_shuffle_batch (__main__.TestDataLoader) ... ok (0.053s)
2022-11-23T01:24:15.4694308Z   test_shuffle_batch_none (__main__.TestDataLoader) ... ok (0.055s)
2022-11-23T01:24:15.4695118Z   test_shuffle_batch_workers (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74548 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4695703Z   test_shuffle_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.167s)
2022-11-23T01:24:15.4696023Z   test_shuffle_pin_memory (__main__.TestDataLoader) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:24:15.4696327Z   test_shuffle_reproducibility (__main__.TestDataLoader) ... ok (0.314s)
2022-11-23T01:24:15.4696887Z   test_shuffle_workers (__main__.TestDataLoader) ... ok (0.197s)
2022-11-23T01:24:15.4697396Z   test_timeout (__main__.TestDataLoader) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4697764Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4698180Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4698529Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4698758Z ok (2.747s)
2022-11-23T01:24:15.4698957Z   test_typing (__main__.TestDataLoader) ... ok (0.001s)
2022-11-23T01:24:15.4699829Z   test_worker_init_fn (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82803 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4700902Z   test_worker_seed (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4701981Z   test_worker_seed_reproducibility (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80249 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4703150Z   test_batch_sampler (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70756 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:24:15.4704308Z   test_builtin_collection_conversion (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71037 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4705467Z   test_bulk_loading_nobatch (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4706631Z   test_chain_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80757 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4707270Z   test_dataset_not_reset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.102s)
2022-11-23T01:24:15.4707628Z   test_default_collate_bad_numpy_types (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2022-11-23T01:24:15.4708012Z   test_default_collate_bad_sequence_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4708380Z   test_default_collate_dtype (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2022-11-23T01:24:15.4746045Z   test_default_collate_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:24:15.4746995Z   test_default_collate_numpy_memmap (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2022-11-23T01:24:15.4747743Z   test_default_collate_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:24:15.4748251Z   test_default_collate_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:24:15.4748627Z   test_default_collate_shared_tensor (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2022-11-23T01:24:15.4749008Z   test_default_convert_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4749510Z   test_default_convert_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4749893Z   test_default_convert_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4750276Z   test_distributed_sampler_invalid_rank (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4750661Z   test_duplicating_data_with_drop_last (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:24:15.4751607Z   test_early_exit (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74868 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:24:15.4752271Z   test_error (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4752605Z   test_error_in_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.066s)
2022-11-23T01:24:15.4753480Z   test_error_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/78017 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4754203Z   test_excessive_thread_creation_warning (__main__.TestDataLoaderPersistentWorkers) ... ok (0.007s)
2022-11-23T01:24:15.4754559Z   test_fd_limit_exceeded (__main__.TestDataLoaderPersistentWorkers) ... ok (1.570s)
2022-11-23T01:24:15.4755157Z   test_get_worker_info (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4755576Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4756013Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4756350Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4756578Z ok (3.565s)
2022-11-23T01:24:15.4756836Z   test_growing_dataset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4757222Z   test_invalid_assign_after_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4757729Z   test_invalid_ctor_args_combinations (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s)
2022-11-23T01:24:15.4758667Z   test_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73055 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:24:15.4759297Z   test_iterabledataset_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:24:15.4759898Z   test_large_sampler_indices (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4760302Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4760735Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4761084Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4761310Z ok (3.225s)
2022-11-23T01:24:15.4761538Z   test_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.008s)
2022-11-23T01:24:15.4761886Z   test_multi_epochs_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.050s)
2022-11-23T01:24:15.4762835Z   test_multiple_dataloaders (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70947 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4764005Z   test_multiprocessing_contexts (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71229 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4765225Z   test_multiprocessing_iterdatapipe (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74498 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4766377Z   test_no_segfault (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70968 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4766965Z   test_numpy (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:24:15.4767300Z   test_numpy_gen_state (__main__.TestDataLoaderPersistentWorkers) ... ok (0.004s)
2022-11-23T01:24:15.4767644Z   test_numpy_scalars (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:24:15.4767974Z   test_partial_workers (__main__.TestDataLoaderPersistentWorkers)
2022-11-23T01:24:15.4768812Z Check that workers exit even if the iterator is not exhausted. ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81034 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4769391Z   test_proper_exit (__main__.TestDataLoaderPersistentWorkers)
2022-11-23T01:24:15.4770338Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70517 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:24:15.4770998Z   test_random_sampler (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s)
2022-11-23T01:24:15.4771363Z   test_random_sampler_len_with_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4771741Z   test_random_sampler_len_without_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4772341Z   test_sampler (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4772739Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4773171Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4773509Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4773948Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4774318Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4774737Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4775084Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4775513Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4775842Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4776259Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4776846Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4777558Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4778018Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4778628Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4778978Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4779205Z ok (2.409s)
2022-11-23T01:24:15.4779465Z   test_sampler_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.016s)
2022-11-23T01:24:15.4780061Z   test_segfault (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:24:15.4780465Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:24:15.4780896Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:24:15.4781234Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:24:15.4781459Z ok (3.395s)
2022-11-23T01:24:15.4782267Z   test_seqential_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81891 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4782921Z   test_seqential_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.110s)
2022-11-23T01:24:15.4783272Z   test_sequential_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.044s)
2022-11-23T01:24:15.4783623Z   test_sequential_nonbatch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.022s)
2022-11-23T01:24:15.4784003Z   test_sequential_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:24:15.4784365Z   test_sequential_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.157s)
2022-11-23T01:24:15.4784706Z   test_shuffle (__main__.TestDataLoaderPersistentWorkers) ... ok (0.062s)
2022-11-23T01:24:15.4785038Z   test_shuffle_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.054s)
2022-11-23T01:24:15.4785376Z   test_shuffle_batch_none (__main__.TestDataLoaderPersistentWorkers) ... ok (0.056s)
2022-11-23T01:24:15.4786251Z   test_shuffle_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74548 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4786899Z   test_shuffle_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.148s)
2022-11-23T01:24:15.4787289Z   test_shuffle_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:24:15.4787716Z   test_shuffle_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.273s)
2022-11-23T01:24:15.4788058Z   test_shuffle_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.192s)
2022-11-23T01:24:15.4788917Z   test_timeout (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68844 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4789513Z   test_typing (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s)
2022-11-23T01:24:15.4790380Z   test_worker_init_fn (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82803 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4791545Z   test_worker_seed (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4792704Z   test_worker_seed_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80249 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4793338Z   test_incomplete_fractional_splits (__main__.TestDatasetRandomSplit) ... ok (0.001s)
2022-11-23T01:24:15.4793742Z   test_lengths_must_equal_dataset_size (__main__.TestDatasetRandomSplit) ... ok (0.001s)
2022-11-23T01:24:15.4794075Z   test_slicing_of_subset_of_dataset (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2022-11-23T01:24:15.4794405Z   test_slicing_of_subset_of_subset (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2022-11-23T01:24:15.4794721Z   test_splits_are_mutually_exclusive (__main__.TestDatasetRandomSplit) ... ok (0.001s)
2022-11-23T01:24:15.4795041Z   test_splits_generator (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2022-11-23T01:24:15.4795355Z   test_splits_have_correct_size (__main__.TestDatasetRandomSplit) ... ok (0.002s)
2022-11-23T01:24:15.4795665Z   test_splits_indexing_type (__main__.TestDatasetRandomSplit)
2022-11-23T01:24:15.4795925Z Indices generated by random_split ... ok (0.003s)
2022-11-23T01:24:15.4796219Z   test_splits_reproducibility (__main__.TestDatasetRandomSplit) ... ok (0.008s)
2022-11-23T01:24:15.4796548Z   test_pin_memory (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:24:15.4796866Z   test_pin_memory_device (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:24:15.4797211Z   test_pin_memory_with_only_device (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:24:15.4797529Z   test_sequential_batch (__main__.TestDictDataLoader) ... ok (0.032s)
2022-11-23T01:24:15.4798396Z   test_ind_worker_queue (__main__.TestIndividualWorkerQueue) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68643 for platform(s) macos, linux, win. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:24:15.4798995Z   test_dataloader_with_namedtuple (__main__.TestNamedTupleDataLoader) ... ok (0.002s)
2022-11-23T01:24:15.4799319Z   test_set_affinity_in_worker_init (__main__.TestSetAffinity) ... ok (0.039s)
2022-11-23T01:24:15.4799701Z   test_shuffle_pin_memory (__main__.TestStringDataLoader) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:24:15.4800012Z   test_getitem (__main__.TestTensorDataset) ... ok (0.005s)
2022-11-23T01:24:15.4800266Z   test_getitem_1d (__main__.TestTensorDataset) ... ok (0.004s)
2022-11-23T01:24:15.4800528Z   test_len (__main__.TestTensorDataset) ... ok (0.001s)
2022-11-23T01:24:15.4800794Z   test_many_tensors (__main__.TestTensorDataset) ... ok (0.004s)
2022-11-23T01:24:15.4801056Z   test_single_tensor (__main__.TestTensorDataset) ... ok (0.001s)
2022-11-23T01:24:15.4801214Z 
2022-11-23T01:24:15.4801421Z ----------------------------------------------------------------------
2022-11-23T01:24:15.4801667Z Ran 164 tests in 43.719s
2022-11-23T01:24:15.4801785Z 
2022-11-23T01:24:15.4801859Z OK (skipped=43)
2022-11-23T01:24:15.4801982Z 
2022-11-23T01:24:15.4802072Z Generating XML reports...
2022-11-23T01:24:15.4802489Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConcatDataset-20221123012331.xml
2022-11-23T01:24:15.4803007Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoader-20221123012331.xml
2022-11-23T01:24:15.4803553Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoaderPersistentWorkers-20221123012331.xml
2022-11-23T01:24:15.4804132Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDatasetRandomSplit-20221123012331.xml
2022-11-23T01:24:15.4804662Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDictDataLoader-20221123012331.xml
2022-11-23T01:24:15.4805207Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestNamedTupleDataLoader-20221123012331.xml
2022-11-23T01:24:15.4805724Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestSetAffinity-20221123012331.xml
2022-11-23T01:24:15.4806238Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestTensorDataset-20221123012331.xml
2022-11-23T01:24:15.4806813Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-IntegrationTestDataLoaderDataPipe-20221123012331.xml
2022-11-23T01:24:15.4807372Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConvAfterFork-20221123012331.xml
2022-11-23T01:24:15.4807863Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestCustomPinFn-20221123012331.xml
2022-11-23T01:24:15.4808402Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestIndividualWorkerQueue-20221123012331.xml
2022-11-23T01:24:15.4808943Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestStringDataLoader-20221123012331.xml
2022-11-23T01:24:15.4809183Z 
2022-11-23T01:24:15.4809521Z ##[endgroup]
2022-11-23T01:24:15.4809904Z FINISHED PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_wobybhnl)
2022-11-23T01:24:15.4810125Z 
2022-11-23T01:24:17.4345025Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:17.5135020Z Ignoring disabled issues:  []
2022-11-23T01:24:17.5432271Z Running test_datapipe ... [2022-11-23 01:24:17.542879]
2022-11-23T01:24:17.5433775Z Executing ['/opt/conda/bin/python', '-bb', 'test_datapipe.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:17.543145]
2022-11-23T01:24:19.9707195Z 
2022-11-23T01:24:19.9707625Z Expand the folded group to see the log file of test_datapipe
2022-11-23T01:24:19.9708701Z ##[group]PRINTING LOG FILE of test_datapipe (/var/lib/jenkins/workspace/test/test-reports/test_datapipe_asexfaa2)
2022-11-23T01:24:19.9709044Z 
2022-11-23T01:24:19.9709149Z Running tests...
2022-11-23T01:24:19.9709662Z ----------------------------------------------------------------------
2022-11-23T01:24:19.9710331Z   test_basic_capture (__main__.TestCaptureDataFrame) ... Test results will be stored in test-reports/python-unittest/test_datapipe
2022-11-23T01:24:19.9710684Z skip: no dataframes (pandas) (0.000s)
2022-11-23T01:24:19.9711148Z   test_circular_serialization_with_dill (__main__.TestCircularSerialization) ... skip: no dill (0.001s)
2022-11-23T01:24:19.9712031Z   test_circular_serialization_with_pickle (__main__.TestCircularSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again.
2022-11-23T01:24:19.9713037Z   warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting "
2022-11-23T01:24:19.9713483Z ok (0.244s)
2022-11-23T01:24:19.9713887Z   test_as_string (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T01:24:19.9714473Z   test_getitem (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T01:24:19.9715017Z   test_iter (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T01:24:19.9715458Z   test_len (__main__.TestDataChunk) ... ok (0.000s)
2022-11-23T01:24:19.9715922Z   test_random_shuffle (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T01:24:19.9716365Z   test_reverse (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T01:24:19.9716790Z   test_sort (__main__.TestDataChunk) ... ok (0.001s)
2022-11-23T01:24:19.9717084Z   test_batch (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s)
2022-11-23T01:24:19.9717422Z   test_capture (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s)
2022-11-23T01:24:19.9717741Z   test_collate (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.001s)
2022-11-23T01:24:19.9718077Z   test_filter (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s)
2022-11-23T01:24:19.9718403Z   test_shuffle (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s)
2022-11-23T01:24:19.9718718Z   test_unbatch (__main__.TestDataFramesPipes) ... skip: no dataframes (pandas) (0.000s)
2022-11-23T01:24:19.9719052Z   test_batch_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.003s)
2022-11-23T01:24:19.9719800Z   test_collate_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9720259Z   warnings.warn(
2022-11-23T01:24:19.9720420Z ok (0.005s)
2022-11-23T01:24:19.9720679Z   test_concat_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.003s)
2022-11-23T01:24:19.9721407Z   test_demux_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9721853Z   warnings.warn(
2022-11-23T01:24:19.9722366Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9722739Z   warnings.warn(
2022-11-23T01:24:19.9723263Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9723635Z   warnings.warn(
2022-11-23T01:24:19.9724135Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9724504Z   warnings.warn(
2022-11-23T01:24:19.9724675Z ok (0.009s)
2022-11-23T01:24:19.9724911Z   test_filter_datapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.006s)
2022-11-23T01:24:19.9725247Z   test_fork_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.010s)
2022-11-23T01:24:19.9725632Z   test_iterable_wrapper_datapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.002s)
2022-11-23T01:24:19.9725976Z   test_map_dict_with_col_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.017s)
2022-11-23T01:24:19.9726704Z   test_map_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9727150Z   warnings.warn(
2022-11-23T01:24:19.9727322Z ok (0.005s)
2022-11-23T01:24:19.9727580Z   test_map_tuple_list_with_col_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.033s)
2022-11-23T01:24:19.9727928Z   test_mux_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.002s)
2022-11-23T01:24:19.9728262Z   test_sampler_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.001s)
2022-11-23T01:24:19.9729068Z   test_serializable (__main__.TestFunctionalIterDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again.
2022-11-23T01:24:19.9729618Z   warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting "
2022-11-23T01:24:19.9730293Z /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again.
2022-11-23T01:24:19.9730792Z   warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting "
2022-11-23T01:24:19.9731046Z ok (0.040s)
2022-11-23T01:24:19.9731278Z   test_serializable_with_dill (__main__.TestFunctionalIterDataPipe)
2022-11-23T01:24:19.9731581Z Only for DataPipes that take in a function as argument ... ok (0.018s)
2022-11-23T01:24:19.9731901Z   test_shuffler_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.006s)
2022-11-23T01:24:19.9732247Z   test_stream_reader_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.001s)
2022-11-23T01:24:19.9732579Z   test_unbatch_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.004s)
2022-11-23T01:24:19.9732913Z   test_zip_iterdatapipe (__main__.TestFunctionalIterDataPipe) ... ok (0.002s)
2022-11-23T01:24:19.9733243Z   test_batch_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.003s)
2022-11-23T01:24:19.9733561Z   test_concat_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.002s)
2022-11-23T01:24:19.9734276Z   test_map_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9734723Z   warnings.warn(
2022-11-23T01:24:19.9734894Z ok (0.003s)
2022-11-23T01:24:19.9735144Z   test_sequence_wrapper_datapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.002s)
2022-11-23T01:24:19.9735474Z   test_serializable (__main__.TestFunctionalMapDataPipe) ... ok (0.009s)
2022-11-23T01:24:19.9735787Z   test_serializable_with_dill (__main__.TestFunctionalMapDataPipe)
2022-11-23T01:24:19.9736073Z Only for DataPipes that take in a function as argument ... ok (0.005s)
2022-11-23T01:24:19.9736385Z   test_shuffler_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.004s)
2022-11-23T01:24:19.9736932Z   test_zip_mapdatapipe (__main__.TestFunctionalMapDataPipe) ... ok (0.002s)
2022-11-23T01:24:19.9737605Z   test_simple_traverse (__main__.TestGraph) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9738009Z   warnings.warn(
2022-11-23T01:24:19.9738181Z ok (0.002s)
2022-11-23T01:24:19.9738483Z   test_traverse_circular_datapipe (__main__.TestGraph) ... ok (0.001s)
2022-11-23T01:24:19.9738748Z   test_traverse_forked (__main__.TestGraph) ... ok (0.003s)
2022-11-23T01:24:19.9739017Z   test_traverse_mapdatapipe (__main__.TestGraph) ... ok (0.002s)
2022-11-23T01:24:19.9739292Z   test_traverse_mixdatapipe (__main__.TestGraph) ... ok (0.001s)
2022-11-23T01:24:19.9739577Z   test_traverse_unhashable_datapipe (__main__.TestGraph) ... ok (0.001s)
2022-11-23T01:24:19.9739936Z   test_iterdatapipe_sample_yielded_generator_function (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s)
2022-11-23T01:24:19.9740387Z   test_iterdatapipe_sample_yielded_generator_function_exception (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.002s)
2022-11-23T01:24:19.9740813Z   test_iterdatapipe_sample_yielded_next (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s)
2022-11-23T01:24:19.9741257Z   test_iterdatapipe_sample_yielded_next_exception (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s)
2022-11-23T01:24:19.9741677Z   test_iterdatapipe_sample_yielded_return_self (__main__.TestIterDataPipeCountSampleYielded) ... ok (0.001s)
2022-11-23T01:24:19.9742082Z   test_simple_snapshot_custom_non_generator (__main__.TestIterDataPipeGraphFastForward) ... ok (0.001s)
2022-11-23T01:24:19.9742467Z   test_simple_snapshot_custom_self_next (__main__.TestIterDataPipeGraphFastForward) ... ok (0.001s)
2022-11-23T01:24:19.9742824Z   test_simple_snapshot_graph (__main__.TestIterDataPipeGraphFastForward) ... ok (0.013s)
2022-11-23T01:24:19.9743656Z   test_simple_snapshot_graph_repeated (__main__.TestIterDataPipeGraphFastForward) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py:289: UserWarning: Some child DataPipes are not exhausted when __iter__ is called. We are resetting the buffer and each child DataPipe will read from the start again.
2022-11-23T01:24:19.9744262Z   warnings.warn("Some child DataPipes are not exhausted when __iter__ is called. We are resetting "
2022-11-23T01:24:19.9744523Z ok (0.005s)
2022-11-23T01:24:19.9744803Z   test_simple_snapshot_graph_with_serialization (__main__.TestIterDataPipeGraphFastForward) ... ok (0.011s)
2022-11-23T01:24:19.9745191Z   test_iterdatapipe_singleton_buggy (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T01:24:19.9745636Z Buggy test case case where IterDataPipe's `__iter__` returns a new object, but also has ... ok (0.003s)
2022-11-23T01:24:19.9746023Z   test_iterdatapipe_singleton_constraint_multiple_outputs (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T01:24:19.9746400Z Testing for the case where IterDataPipe has multiple child DataPipes as outputs. ... ok (0.006s)
2022-11-23T01:24:19.9746770Z   test_iterdatapipe_singleton_generator (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T01:24:19.9747203Z Testing for the case where IterDataPipe's `__iter__` is a generator function. ... ok (0.003s)
2022-11-23T01:24:19.9747547Z   test_iterdatapipe_singleton_new_object (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T01:24:19.9747999Z Testing for the case where IterDataPipe's `__iter__` isn't a generator nor returns `self`, ... ok (0.002s)
2022-11-23T01:24:19.9748367Z   test_iterdatapipe_singleton_self_next (__main__.TestIterDataPipeSingletonConstraint)
2022-11-23T01:24:19.9748830Z Testing for the case where IterDataPipe's `__iter__` returns `self` and there is a `__next__` method ... ok (0.003s)
2022-11-23T01:24:19.9749550Z   test_demux_mux_datapipe (__main__.TestIterableDataPipeBasic) ... /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py:135: UserWarning: Local function is not supported by pickle, please use regular python function or functools.partial instead.
2022-11-23T01:24:19.9749994Z   warnings.warn(
2022-11-23T01:24:19.9750166Z ok (0.004s)
2022-11-23T01:24:19.9750427Z   test_groupby_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.008s)
2022-11-23T01:24:19.9750762Z   test_listdirfiles_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.003s)
2022-11-23T01:24:19.9751177Z   test_listdirfilesdeterministic_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.003s)
2022-11-23T01:24:19.9751559Z   test_map_with_col_file_handle_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.003s)
2022-11-23T01:24:19.9751910Z   test_openfilesfromdisk_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.004s)
2022-11-23T01:24:19.9752275Z   test_routeddecoder_iterable_datapipe (__main__.TestIterableDataPipeBasic) ... ok (0.004s)
2022-11-23T01:24:19.9752608Z   test_spawn_lambdas_iter (__main__.TestSerialization) ... skip: no dill (0.000s)
2022-11-23T01:24:19.9752915Z   test_spawn_lambdas_map (__main__.TestSerialization) ... skip: no dill (0.000s)
2022-11-23T01:24:19.9753191Z   test_old_dataloader (__main__.TestSharding) ... ok (0.049s)
2022-11-23T01:24:19.9753669Z   test_sharding_groups (__main__.TestSharding) ... /var/lib/jenkins/workspace/test/test_datapipe.py:2692: DeprecationWarning: Please use assertEqual instead.
2022-11-23T01:24:19.9754024Z   self.assertEquals(expected, actual)
2022-11-23T01:24:19.9754329Z /var/lib/jenkins/workspace/test/test_datapipe.py:2693: DeprecationWarning: Please use assertEqual instead.
2022-11-23T01:24:19.9754626Z   self.assertEquals(3, len(dp))
2022-11-23T01:24:19.9754815Z ok (0.002s)
2022-11-23T01:24:19.9755035Z   test_sharding_length (__main__.TestSharding) ... ok (0.002s)
2022-11-23T01:24:19.9755287Z   test_simple_sharding (__main__.TestSharding) ... ok (0.003s)
2022-11-23T01:24:19.9755546Z   test_api (__main__.TestStreamWrapper) ... ok (0.001s)
2022-11-23T01:24:19.9755806Z   test_dir (__main__.TestStreamWrapper) ... ok (0.001s)
2022-11-23T01:24:19.9756050Z   test_pickle (__main__.TestStreamWrapper) ... ok (0.001s)
2022-11-23T01:24:19.9756308Z   test_repr (__main__.TestStreamWrapper) ... ok (0.001s)
2022-11-23T01:24:19.9756596Z   test_compile_time (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.002s)
2022-11-23T01:24:19.9756892Z   test_construct_time (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s)
2022-11-23T01:24:19.9757170Z   test_isinstance (__main__.TestTyping) ... ok (0.001s)
2022-11-23T01:24:19.9757456Z   test_issubinstance (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s)
2022-11-23T01:24:19.9757733Z   test_protocol (__main__.TestTyping) ... ok (0.001s)
2022-11-23T01:24:19.9757992Z   test_reinforce (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s)
2022-11-23T01:24:19.9758287Z   test_runtime (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s)
2022-11-23T01:24:19.9758584Z   test_subtype (__main__.TestTyping) ... skip: TODO: Fix typing bug (0.001s)
2022-11-23T01:24:19.9758746Z 
2022-11-23T01:24:19.9758940Z ----------------------------------------------------------------------
2022-11-23T01:24:19.9759180Z Ran 88 tests in 0.618s
2022-11-23T01:24:19.9759296Z 
2022-11-23T01:24:19.9759370Z OK (skipped=16)
2022-11-23T01:24:19.9759480Z 
2022-11-23T01:24:19.9759563Z Generating XML reports...
2022-11-23T01:24:19.9759995Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestCircularSerialization-20221123012418.xml
2022-11-23T01:24:19.9760520Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestDataChunk-20221123012418.xml
2022-11-23T01:24:19.9761050Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestFunctionalIterDataPipe-20221123012418.xml
2022-11-23T01:24:19.9761605Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestFunctionalMapDataPipe-20221123012418.xml
2022-11-23T01:24:19.9762114Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestGraph-20221123012418.xml
2022-11-23T01:24:19.9762667Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeCountSampleYielded-20221123012418.xml
2022-11-23T01:24:19.9763277Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeGraphFastForward-20221123012418.xml
2022-11-23T01:24:19.9763926Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterDataPipeSingletonConstraint-20221123012418.xml
2022-11-23T01:24:19.9764522Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestIterableDataPipeBasic-20221123012418.xml
2022-11-23T01:24:19.9765039Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestSharding-20221123012418.xml
2022-11-23T01:24:19.9765537Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestStreamWrapper-20221123012418.xml
2022-11-23T01:24:19.9766009Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestTyping-20221123012418.xml
2022-11-23T01:24:19.9766511Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestCaptureDataFrame-20221123012418.xml
2022-11-23T01:24:19.9767031Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestDataFramesPipes-20221123012418.xml
2022-11-23T01:24:19.9767580Z Generated XML report: test-reports/python-unittest/test_datapipe/TEST-TestSerialization-20221123012418.xml
2022-11-23T01:24:19.9767795Z 
2022-11-23T01:24:19.9768073Z ##[endgroup]
2022-11-23T01:24:19.9768454Z FINISHED PRINTING LOG FILE of test_datapipe (/var/lib/jenkins/workspace/test/test-reports/test_datapipe_asexfaa2)
2022-11-23T01:24:19.9768670Z 
2022-11-23T01:24:21.9028516Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:21.9806741Z Ignoring disabled issues:  []
2022-11-23T01:24:21.9964186Z Running test_decomp ... [2022-11-23 01:24:21.996104]
2022-11-23T01:24:21.9965711Z Executing ['/opt/conda/bin/python', '-bb', 'test_decomp.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:21.996366]
2022-11-23T01:24:24.7086293Z 
2022-11-23T01:24:24.7086799Z Expand the folded group to see the log file of test_decomp
2022-11-23T01:24:24.7087787Z ##[group]PRINTING LOG FILE of test_decomp (/var/lib/jenkins/workspace/test/test-reports/test_decomp_bute98o8)
2022-11-23T01:24:24.7088199Z 
2022-11-23T01:24:24.7088319Z Running tests...
2022-11-23T01:24:24.7088844Z ----------------------------------------------------------------------
2022-11-23T01:24:24.7089018Z 
2022-11-23T01:24:24.7089213Z ----------------------------------------------------------------------
2022-11-23T01:24:24.7089451Z Ran 0 tests in 0.000s
2022-11-23T01:24:24.7089553Z 
2022-11-23T01:24:24.7089617Z OK
2022-11-23T01:24:24.7089709Z 
2022-11-23T01:24:24.7089795Z Generating XML reports...
2022-11-23T01:24:24.7090121Z Test results will be stored in test-reports/python-unittest/test_decomp
2022-11-23T01:24:24.7090301Z 
2022-11-23T01:24:24.7090511Z ##[endgroup]
2022-11-23T01:24:24.7090890Z FINISHED PRINTING LOG FILE of test_decomp (/var/lib/jenkins/workspace/test/test-reports/test_decomp_bute98o8)
2022-11-23T01:24:24.7091102Z 
2022-11-23T01:24:26.6464735Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:26.7247122Z Ignoring disabled issues:  []
2022-11-23T01:24:26.7404154Z Running test_deploy ... [2022-11-23 01:24:26.740026]
2022-11-23T01:24:26.7405101Z Executing ['/opt/conda/bin/python', '-bb', '-m', 'pytest', 'test_deploy.py', '-v'] ... [2022-11-23 01:24:26.740289]
2022-11-23T01:24:31.4221967Z 
2022-11-23T01:24:31.4222413Z Expand the folded group to see the log file of test_deploy
2022-11-23T01:24:31.4223329Z ##[group]PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_bupuxcro)
2022-11-23T01:24:31.4223841Z ============================= test session starts ==============================
2022-11-23T01:24:31.4224498Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:24:31.4224886Z cachedir: .pytest_cache
2022-11-23T01:24:31.4225540Z hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/var/lib/jenkins/workspace/test/.hypothesis/examples')
2022-11-23T01:24:31.4226109Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:24:31.4226766Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:24:31.4227450Z collecting ... collected 1 item
2022-11-23T01:24:31.4227886Z Running 1 items in this shard: test/test_deploy.py::TestFreezer::test_compile_string
2022-11-23T01:24:31.4228163Z 
2022-11-23T01:24:31.4228361Z test_deploy.py::TestFreezer::test_compile_string PASSED                  [100%]
2022-11-23T01:24:31.4228617Z 
2022-11-23T01:24:31.4228776Z ============================== 1 passed in 1.65s ===============================
2022-11-23T01:24:31.4228977Z 
2022-11-23T01:24:31.4229344Z ##[endgroup]
2022-11-23T01:24:31.4229910Z FINISHED PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_bupuxcro)
2022-11-23T01:24:31.4230228Z 
2022-11-23T01:24:33.4102194Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:33.4885352Z Ignoring disabled issues:  []
2022-11-23T01:24:33.5040776Z Running test_dlpack ... [2022-11-23 01:24:33.503758]
2022-11-23T01:24:33.5042273Z Executing ['/opt/conda/bin/python', '-bb', 'test_dlpack.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:33.504018]
2022-11-23T01:24:35.4611250Z 
2022-11-23T01:24:35.4611722Z Expand the folded group to see the log file of test_dlpack
2022-11-23T01:24:35.4612789Z ##[group]PRINTING LOG FILE of test_dlpack (/var/lib/jenkins/workspace/test/test-reports/test_dlpack_qsw0p6f_)
2022-11-23T01:24:35.4613202Z 
2022-11-23T01:24:35.4613340Z Running tests...
2022-11-23T01:24:35.4613981Z ----------------------------------------------------------------------
2022-11-23T01:24:35.4614265Z 
2022-11-23T01:24:35.4614633Z ----------------------------------------------------------------------
2022-11-23T01:24:35.4615028Z Ran 0 tests in 0.000s
2022-11-23T01:24:35.4615188Z 
2022-11-23T01:24:35.4615259Z OK
2022-11-23T01:24:35.4615353Z 
2022-11-23T01:24:35.4615426Z Generating XML reports...
2022-11-23T01:24:35.4615782Z Test results will be stored in test-reports/python-unittest/test_dlpack
2022-11-23T01:24:35.4616000Z 
2022-11-23T01:24:35.4616227Z ##[endgroup]
2022-11-23T01:24:35.4616779Z FINISHED PRINTING LOG FILE of test_dlpack (/var/lib/jenkins/workspace/test/test-reports/test_dlpack_qsw0p6f_)
2022-11-23T01:24:35.4616999Z 
2022-11-23T01:24:37.3678593Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:37.4441973Z Ignoring disabled issues:  []
2022-11-23T01:24:37.4597548Z Running test_dynamic_shapes ... [2022-11-23 01:24:37.459470]
2022-11-23T01:24:37.4599858Z Executing ['/opt/conda/bin/python', '-bb', 'test_dynamic_shapes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:37.459739]
2022-11-23T01:24:40.1739593Z 
2022-11-23T01:24:40.1740143Z Expand the folded group to see the log file of test_dynamic_shapes
2022-11-23T01:24:40.1741380Z ##[group]PRINTING LOG FILE of test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/test_dynamic_shapes_h3pcrt3d)
2022-11-23T01:24:40.1741826Z 
2022-11-23T01:24:40.1743976Z Running tests...
2022-11-23T01:24:40.1744798Z ----------------------------------------------------------------------
2022-11-23T01:24:40.1745627Z Test results will be stored in test-reports/python-unittest/test_dynamic_shapes
2022-11-23T01:24:40.1746272Z   test_arith_ops (__main__.TestPySymInt) ... ok (0.432s)
2022-11-23T01:24:40.1752126Z   test_aten_ops (__main__.TestPySymInt) ... ok (0.021s)
2022-11-23T01:24:40.1752413Z   test_binary (__main__.TestPySymInt) ... ok (0.020s)
2022-11-23T01:24:40.1752719Z   test_fx_trace_intlist (__main__.TestPySymInt) ... ok (0.011s)
2022-11-23T01:24:40.1752968Z   test_guard_int (__main__.TestPySymInt) ... ok (0.002s)
2022-11-23T01:24:40.1753232Z   test_int_conversion (__main__.TestPySymInt) ... ok (0.001s)
2022-11-23T01:24:40.1753496Z   test_int_to_float (__main__.TestPySymInt) ... ok (0.001s)
2022-11-23T01:24:40.1753833Z   test_meta_symint (__main__.TestPySymInt) ... ok (0.002s)
2022-11-23T01:24:40.1754087Z   test_numel (__main__.TestPySymInt) ... ok (0.001s)
2022-11-23T01:24:40.1754361Z   test_print_readable_with_symints (__main__.TestPySymInt) ... ok (0.060s)
2022-11-23T01:24:40.1754818Z   test_reverse_arith_ops (__main__.TestPySymInt) ... ok (0.065s)
2022-11-23T01:24:40.1755071Z   test_roundtrip (__main__.TestPySymInt) ... ok (0.013s)
2022-11-23T01:24:40.1755335Z   test_size_expressions (__main__.TestPySymInt) ... ok (0.006s)
2022-11-23T01:24:40.1755596Z   test_stride (__main__.TestPySymInt) ... ok (0.002s)
2022-11-23T01:24:40.1755834Z   test_sym_floor (__main__.TestPySymInt) ... ok (0.072s)
2022-11-23T01:24:40.1756082Z   test_sym_int (__main__.TestPySymInt) ... ok (0.020s)
2022-11-23T01:24:40.1756330Z   test_sym_sqrt (__main__.TestPySymInt) ... ok (0.040s)
2022-11-23T01:24:40.1756587Z   test_symint_args (__main__.TestPySymInt) ... ok (0.026s)
2022-11-23T01:24:40.1756834Z   test_symint_as_scalar (__main__.TestPySymInt) ... ok (0.001s)
2022-11-23T01:24:40.1757098Z   test_symint_vargs (__main__.TestPySymInt) ... ok (0.012s)
2022-11-23T01:24:40.1757525Z   test_method_fn_add_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: add is not a float magic method (0.001s)
2022-11-23T01:24:40.1757965Z   test_method_fn_add_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: add is not a float magic method (0.001s)
2022-11-23T01:24:40.1758370Z   test_method_fn_add_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T01:24:40.1758747Z   test_method_fn_add_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1759164Z   test_method_fn_ceil_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ceil is not a float magic method (0.001s)
2022-11-23T01:24:40.1759595Z   test_method_fn_ceil_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: ceil is not a float magic method (0.001s)
2022-11-23T01:24:40.1760038Z   test_method_fn_ceil_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ceil is unary and already tested (0.001s)
2022-11-23T01:24:40.1760450Z   test_method_fn_ceil_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1760860Z   test_method_fn_eq_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: eq is not a float magic method (0.001s)
2022-11-23T01:24:40.1761283Z   test_method_fn_eq_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: eq is not a float magic method (0.001s)
2022-11-23T01:24:40.1761686Z   test_method_fn_eq_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s)
2022-11-23T01:24:40.1762061Z   test_method_fn_eq_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1762475Z   test_method_fn_floor_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floor is not a float magic method (0.001s)
2022-11-23T01:24:40.1762912Z   test_method_fn_floor_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: floor is not a float magic method (0.001s)
2022-11-23T01:24:40.1763354Z   test_method_fn_floor_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floor is unary and already tested (0.001s)
2022-11-23T01:24:40.1763768Z   test_method_fn_floor_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1764196Z   test_method_fn_floordiv_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floordiv is not a float magic method (0.001s)
2022-11-23T01:24:40.1764647Z   test_method_fn_floordiv_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: floordiv is not a float magic method (0.001s)
2022-11-23T01:24:40.1765070Z   test_method_fn_floordiv_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.003s)
2022-11-23T01:24:40.1765466Z   test_method_fn_floordiv_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1765912Z   test_method_fn_ge_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ge is not a float magic method (0.001s)
2022-11-23T01:24:40.1766340Z   test_method_fn_ge_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: ge is not a float magic method (0.001s)
2022-11-23T01:24:40.1766743Z   test_method_fn_ge_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1767114Z   test_method_fn_ge_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1767598Z   test_method_fn_gt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: gt is not a float magic method (0.001s)
2022-11-23T01:24:40.1768257Z   test_method_fn_gt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: gt is not a float magic method (0.001s)
2022-11-23T01:24:40.1768918Z   test_method_fn_gt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1769504Z   test_method_fn_gt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1770125Z   test_method_fn_le_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: le is not a float magic method (0.001s)
2022-11-23T01:24:40.1770772Z   test_method_fn_le_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: le is not a float magic method (0.001s)
2022-11-23T01:24:40.1771396Z   test_method_fn_le_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1771967Z   test_method_fn_le_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1772578Z   test_method_fn_lt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: lt is not a float magic method (0.001s)
2022-11-23T01:24:40.1773203Z   test_method_fn_lt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: lt is not a float magic method (0.001s)
2022-11-23T01:24:40.1773797Z   test_method_fn_lt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1774333Z   test_method_fn_lt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1774772Z   test_method_fn_max_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: max is not a float magic method (0.001s)
2022-11-23T01:24:40.1775198Z   test_method_fn_max_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: max is not a float magic method (0.001s)
2022-11-23T01:24:40.1775605Z   test_method_fn_max_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1775980Z   test_method_fn_max_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1776394Z   test_method_fn_min_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: min is not a float magic method (0.001s)
2022-11-23T01:24:40.1777119Z   test_method_fn_min_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: min is not a float magic method (0.001s)
2022-11-23T01:24:40.1777526Z   test_method_fn_min_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1777902Z   test_method_fn_min_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1778312Z   test_method_fn_mod_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: mod is not a float magic method (0.001s)
2022-11-23T01:24:40.1778730Z   test_method_fn_mod_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: mod is not a float magic method (0.001s)
2022-11-23T01:24:40.1779133Z   test_method_fn_mod_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1779596Z   test_method_fn_mod_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1779989Z   test_method_fn_mul_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: mul is not a float magic method (0.001s)
2022-11-23T01:24:40.1780426Z   test_method_fn_mul_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: mul is not a float magic method (0.001s)
2022-11-23T01:24:40.1780829Z   test_method_fn_mul_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1781204Z   test_method_fn_mul_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1781600Z   test_method_fn_neg_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: neg is not a float magic method (0.001s)
2022-11-23T01:24:40.1782096Z   test_method_fn_neg_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: neg is not a float magic method (0.001s)
2022-11-23T01:24:40.1782533Z   test_method_fn_neg_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: neg is unary and already tested (0.001s)
2022-11-23T01:24:40.1782937Z   test_method_fn_neg_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1783340Z   test_method_fn_pow_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: pow is not a float magic method (0.001s)
2022-11-23T01:24:40.1783781Z   test_method_fn_pow_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: pow is not a float magic method (0.001s)
2022-11-23T01:24:40.1784187Z   test_method_fn_pow_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1784561Z   test_method_fn_pow_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1784961Z   test_method_fn_sub_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sub is not a float magic method (0.001s)
2022-11-23T01:24:40.1785403Z   test_method_fn_sub_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sub is not a float magic method (0.001s)
2022-11-23T01:24:40.1785804Z   test_method_fn_sub_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1786174Z   test_method_fn_sub_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1786580Z   test_method_fn_sym_float_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_float is not a float magic method (0.001s)
2022-11-23T01:24:40.1787041Z   test_method_fn_sym_float_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sym_float is not a float magic method (0.001s)
2022-11-23T01:24:40.1787502Z   test_method_fn_sym_float_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_float is unary and already tested (0.001s)
2022-11-23T01:24:40.1787922Z   test_method_fn_sym_float_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1788349Z   test_method_fn_sym_sqrt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is not a float magic method (0.001s)
2022-11-23T01:24:40.1788791Z   test_method_fn_sym_sqrt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is not a float magic method (0.001s)
2022-11-23T01:24:40.1789250Z   test_method_fn_sym_sqrt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is unary and already tested (0.001s)
2022-11-23T01:24:40.1789663Z   test_method_fn_sym_sqrt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1790175Z   test_method_fn_truediv_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: truediv is not a float magic method (0.001s)
2022-11-23T01:24:40.1790619Z   test_method_fn_truediv_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: truediv is not a float magic method (0.001s)
2022-11-23T01:24:40.1791042Z   test_method_fn_truediv_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1791423Z   test_method_fn_truediv_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s)
2022-11-23T01:24:40.1791635Z 
2022-11-23T01:24:40.1791908Z ----------------------------------------------------------------------
2022-11-23T01:24:40.1792145Z Ran 96 tests in 0.899s
2022-11-23T01:24:40.1792261Z 
2022-11-23T01:24:40.1792336Z OK (skipped=43)
2022-11-23T01:24:40.1792448Z 
2022-11-23T01:24:40.1792572Z Generating XML reports...
2022-11-23T01:24:40.1792992Z Generated XML report: test-reports/python-unittest/test_dynamic_shapes/TEST-TestPySymInt-20221123012438.xml
2022-11-23T01:24:40.1793550Z Generated XML report: test-reports/python-unittest/test_dynamic_shapes/TEST-TestSymNumberMagicMethods-20221123012438.xml
2022-11-23T01:24:40.1793901Z 
2022-11-23T01:24:40.1794217Z ##[endgroup]
2022-11-23T01:24:40.1794608Z FINISHED PRINTING LOG FILE of test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/test_dynamic_shapes_h3pcrt3d)
2022-11-23T01:24:40.1794834Z 
2022-11-23T01:24:42.1396715Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:42.2167280Z Ignoring disabled issues:  []
2022-11-23T01:24:42.2324101Z Running test_expanded_weights ... [2022-11-23 01:24:42.232030]
2022-11-23T01:24:42.2325430Z Executing ['/opt/conda/bin/python', '-bb', 'test_expanded_weights.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:42.232300]
2022-11-23T01:24:45.3022768Z 
2022-11-23T01:24:45.3023491Z Expand the folded group to see the log file of test_expanded_weights
2022-11-23T01:24:45.3024952Z ##[group]PRINTING LOG FILE of test_expanded_weights (/var/lib/jenkins/workspace/test/test-reports/test_expanded_weights_kj_s_ssj)
2022-11-23T01:24:45.3025712Z 
2022-11-23T01:24:45.3025886Z Running tests...
2022-11-23T01:24:45.3026951Z ----------------------------------------------------------------------
2022-11-23T01:24:45.3028052Z Test results will be stored in test-reports/python-unittest/test_expanded_weights
2022-11-23T01:24:45.3028982Z   test_Conv1d (__main__.TestExpandedWeightModule) ... ok (0.005s)
2022-11-23T01:24:45.3029981Z   test_Conv1d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3030889Z   test_Conv1d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.043s)
2022-11-23T01:24:45.3031766Z   test_Conv1d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3032555Z   test_Conv1d_pad1 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3033334Z   test_Conv1d_pad1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3034193Z   test_Conv1d_pad1size1 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3034989Z   test_Conv1d_pad1size1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3035753Z   test_Conv1d_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3036528Z   test_Conv1d_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3037340Z   test_Conv1d_pad2size1 (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3038135Z   test_Conv1d_pad2size1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3038964Z   test_Conv1d_reflect_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3039840Z   test_Conv1d_reflect_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3040737Z   test_Conv1d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3041881Z   test_Conv1d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3042719Z   test_Conv1d_stride (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3043491Z   test_Conv1d_stride_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3044804Z   test_Conv1d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:24:45.3046226Z   test_Conv1d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:24:45.3047263Z   test_Conv1d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3048298Z   test_Conv1d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3049090Z   test_Conv2d (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3049837Z   test_Conv2d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3050736Z   test_Conv2d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3051579Z   test_Conv2d_dilated (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3052410Z   test_Conv2d_dilated_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3053211Z   test_Conv2d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3053994Z   test_Conv2d_no_bias (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3054769Z   test_Conv2d_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3055573Z   test_Conv2d_padding (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3056364Z   test_Conv2d_padding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3057400Z   test_Conv2d_reflect_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3058283Z   test_Conv2d_reflect_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3059154Z   test_Conv2d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3060052Z   test_Conv2d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3060884Z   test_Conv2d_strided (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3061666Z   test_Conv2d_strided_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3062894Z   test_Conv2d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:24:45.3064398Z   test_Conv2d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:24:45.3065416Z   test_Conv2d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3066282Z   test_Conv2d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3067083Z   test_Conv3d (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3067834Z   test_Conv3d_1x1x1_no_bias (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3068645Z   test_Conv3d_1x1x1_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3069487Z   test_Conv3d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3070387Z   test_Conv3d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:24:45.3071409Z   test_Conv3d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3072189Z   test_Conv3d_no_bias (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3072984Z   test_Conv3d_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3073930Z   test_Conv3d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3074820Z   test_Conv3d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3075632Z   test_Conv3d_stride (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3076444Z   test_Conv3d_stride_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3077263Z   test_Conv3d_stride_padding (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3078238Z   test_Conv3d_stride_padding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3079550Z   test_Conv3d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:24:45.3081011Z   test_Conv3d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:24:45.3082015Z   test_Conv3d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3082876Z   test_Conv3d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:24:45.3083675Z   test_Embedding (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3084467Z   test_Embedding_discontiguous (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3085351Z   test_Embedding_discontiguous_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3086210Z   test_Embedding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3087022Z   test_GroupNorm_1d_affine (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3087808Z   test_GroupNorm_1d_affine_GN (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3088653Z   test_GroupNorm_1d_affine_GN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3089543Z   test_GroupNorm_1d_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3090401Z   test_GroupNorm_1d_no_affine_IN (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3091263Z   test_GroupNorm_1d_no_affine_IN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3092075Z   test_GroupNorm_1d_no_affine_LN (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3092956Z   test_GroupNorm_1d_no_affine_LN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3093814Z   test_GroupNorm_2d_affine (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3094647Z   test_GroupNorm_2d_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3095475Z   test_GroupNorm_2d_no_affine_IN (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3096321Z   test_GroupNorm_2d_no_affine_IN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3097220Z   test_GroupNorm_2d_no_affine_LN (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3098060Z   test_GroupNorm_2d_no_affine_LN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3098878Z   test_LayerNorm_1d_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3099776Z   test_LayerNorm_1d_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3101314Z   test_LayerNorm_1d_empty_elementwise_affine (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:24:45.3102944Z   test_LayerNorm_1d_empty_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:24:45.3103945Z   test_LayerNorm_1d_no_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3104787Z   test_LayerNorm_1d_no_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3105607Z   test_LayerNorm_3d_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3106427Z   test_LayerNorm_3d_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3107385Z   test_LayerNorm_3d_no_affine_large_feature (__main__.TestExpandedWeightModule) ... ok (0.038s)
2022-11-23T01:24:45.3108451Z   test_LayerNorm_3d_no_affine_large_feature_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.022s)
2022-11-23T01:24:45.3109382Z   test_LayerNorm_3d_no_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3110283Z   test_LayerNorm_3d_no_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3111101Z   test_Linear (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3111866Z   test_Linear_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3113090Z   test_Linear_no_batch_dim (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients for input of rank 1 (0.001s)
2022-11-23T01:24:45.3114061Z   test_Linear_no_batch_dim_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients for input of rank 1 (0.001s)
2022-11-23T01:24:45.3114572Z   test_Linear_no_bias (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3115065Z   test_Linear_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3115543Z   test_per_sample_api_compute_batch_size (__main__.TestExpandedWeightModule) ... ok (0.002s)
2022-11-23T01:24:45.3116055Z   test_per_sample_api_compute_batch_size_not_pytreeable (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3116569Z   test_per_sample_api_failing (__main__.TestExpandedWeightModule) ... ok (0.003s)
2022-11-23T01:24:45.3116837Z 
2022-11-23T01:24:45.3117166Z ----------------------------------------------------------------------
2022-11-23T01:24:45.3117493Z Ran 99 tests in 0.357s
2022-11-23T01:24:45.3117660Z 
2022-11-23T01:24:45.3117767Z OK (skipped=10)
2022-11-23T01:24:45.3117923Z 
2022-11-23T01:24:45.3118050Z Generating XML reports...
2022-11-23T01:24:45.3118715Z Generated XML report: test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightModule-20221123012444.xml
2022-11-23T01:24:45.3119094Z 
2022-11-23T01:24:45.3119501Z ##[endgroup]
2022-11-23T01:24:45.3120103Z FINISHED PRINTING LOG FILE of test_expanded_weights (/var/lib/jenkins/workspace/test/test-reports/test_expanded_weights_kj_s_ssj)
2022-11-23T01:24:45.3120433Z 
2022-11-23T01:24:47.2757929Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:47.3599021Z Ignoring disabled issues:  []
2022-11-23T01:24:47.3757710Z Running test_foreach ... [2022-11-23 01:24:47.375419]
2022-11-23T01:24:47.3758952Z Executing ['/opt/conda/bin/python', '-bb', 'test_foreach.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:47.375702]
2022-11-23T01:24:49.9986934Z 
2022-11-23T01:24:49.9987365Z Expand the folded group to see the log file of test_foreach
2022-11-23T01:24:49.9988253Z ##[group]PRINTING LOG FILE of test_foreach (/var/lib/jenkins/workspace/test/test-reports/test_foreach_0ej85aau)
2022-11-23T01:24:49.9988501Z 
2022-11-23T01:24:49.9988563Z Running tests...
2022-11-23T01:24:49.9989012Z ----------------------------------------------------------------------
2022-11-23T01:24:49.9989185Z 
2022-11-23T01:24:49.9989560Z ----------------------------------------------------------------------
2022-11-23T01:24:49.9989855Z Ran 0 tests in 0.000s
2022-11-23T01:24:49.9989957Z 
2022-11-23T01:24:49.9990019Z OK
2022-11-23T01:24:49.9990111Z 
2022-11-23T01:24:49.9990194Z Generating XML reports...
2022-11-23T01:24:49.9990570Z Test results will be stored in test-reports/python-unittest/test_foreach
2022-11-23T01:24:49.9990748Z 
2022-11-23T01:24:49.9990963Z ##[endgroup]
2022-11-23T01:24:49.9991394Z FINISHED PRINTING LOG FILE of test_foreach (/var/lib/jenkins/workspace/test/test-reports/test_foreach_0ej85aau)
2022-11-23T01:24:49.9991603Z 
2022-11-23T01:24:51.9461947Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:52.0239623Z Ignoring disabled issues:  []
2022-11-23T01:24:52.0400152Z Running test_function_schema ... [2022-11-23 01:24:52.039690]
2022-11-23T01:24:52.0401482Z Executing ['/opt/conda/bin/python', '-bb', 'test_function_schema.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:52.039954]
2022-11-23T01:24:54.2613803Z 
2022-11-23T01:24:54.2614378Z Expand the folded group to see the log file of test_function_schema
2022-11-23T01:24:54.2615463Z ##[group]PRINTING LOG FILE of test_function_schema (/var/lib/jenkins/workspace/test/test-reports/test_function_schema_3cuemyr7)
2022-11-23T01:24:54.2615896Z 
2022-11-23T01:24:54.2616028Z Running tests...
2022-11-23T01:24:54.2616810Z ----------------------------------------------------------------------
2022-11-23T01:24:54.2617493Z Test results will be stored in test-reports/python-unittest/test_function_schema
2022-11-23T01:24:54.2618086Z   test_backward_compatible_arguments (__main__.TestFunctionSchema) ... ok (0.240s)
2022-11-23T01:24:54.2618657Z   test_backward_compatible_outputs (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2619246Z   test_backward_compatible_structure (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2619850Z   test_backward_compatible_with_smart_serialization (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2620433Z   test_forward_compatible_arguments_real_use_case (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2621029Z   test_forward_compatible_arguments_with_out (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2621612Z   test_forward_compatible_arguments_without_out (__main__.TestFunctionSchema) ... ok (0.002s)
2022-11-23T01:24:54.2622155Z   test_out_schema (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2622643Z   test_schema_error (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2623170Z   test_serialize_and_deserialize (__main__.TestFunctionSchema) ... ok (0.223s)
2022-11-23T01:24:54.2623740Z   test_string_optional_parameter_default_value (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2624364Z   test_tensor_list_alias_annotation_properly_parsed (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2624990Z   test_tensor_option_arguments_properly_parsed (__main__.TestFunctionSchema) ... ok (0.001s)
2022-11-23T01:24:54.2625323Z 
2022-11-23T01:24:54.2625684Z ----------------------------------------------------------------------
2022-11-23T01:24:54.2626104Z Ran 13 tests in 0.474s
2022-11-23T01:24:54.2626301Z 
2022-11-23T01:24:54.2626404Z OK
2022-11-23T01:24:54.2626564Z 
2022-11-23T01:24:54.2626710Z Generating XML reports...
2022-11-23T01:24:54.2627478Z Generated XML report: test-reports/python-unittest/test_function_schema/TEST-TestFunctionSchema-20221123012453.xml
2022-11-23T01:24:54.2627911Z 
2022-11-23T01:24:54.2628351Z ##[endgroup]
2022-11-23T01:24:54.2629064Z FINISHED PRINTING LOG FILE of test_function_schema (/var/lib/jenkins/workspace/test/test-reports/test_function_schema_3cuemyr7)
2022-11-23T01:24:54.2629452Z 
2022-11-23T01:24:56.1645847Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:24:56.2243931Z Ignoring disabled issues:  []
2022-11-23T01:24:56.2407069Z Running test_functional_autograd_benchmark ... [2022-11-23 01:24:56.240388]
2022-11-23T01:24:56.2409158Z Executing ['/opt/conda/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:24:56.240663]
2022-11-23T01:25:23.2975302Z 
2022-11-23T01:25:23.2975961Z Expand the folded group to see the log file of test_functional_autograd_benchmark
2022-11-23T01:25:23.2977781Z ##[group]PRINTING LOG FILE of test_functional_autograd_benchmark (/var/lib/jenkins/workspace/test/test-reports/test_functional_autograd_benchmark_j22ge1_f)
2022-11-23T01:25:23.2978235Z 
2022-11-23T01:25:23.2978314Z Running tests...
2022-11-23T01:25:23.2978728Z ----------------------------------------------------------------------
2022-11-23T01:25:23.2979161Z Test results will be stored in test-reports/python-unittest/test_functional_autograd_benchmark
2022-11-23T01:25:23.2979755Z   test_fast_tasks (__main__.TestFunctionalAutogradBenchmark) ... Found functorch: 1.14.0a0+git1cfd385
2022-11-23T01:25:23.2980086Z Results for model resnet18 on task vjp: nans (var: nan)
2022-11-23T01:25:23.2980399Z Results for model resnet18 on task vjp using Functorch: nans (var: nan)
2022-11-23T01:25:23.2980651Z Found functorch: 1.14.0a0+git1cfd385
2022-11-23T01:25:23.2980897Z Results for model ppl_simple_reg on task vjp: nans (var: nan)
2022-11-23T01:25:23.2981229Z Results for model ppl_simple_reg on task vjp using Functorch: nans (var: nan)
2022-11-23T01:25:23.2981486Z Found functorch: 1.14.0a0+git1cfd385
2022-11-23T01:25:23.2981750Z Results for model ppl_robust_reg on task vjp: nans (var: nan)
2022-11-23T01:25:23.2982051Z Results for model ppl_robust_reg on task vjp using Functorch: nans (var: nan)
2022-11-23T01:25:23.2982309Z Found functorch: 1.14.0a0+git1cfd385
2022-11-23T01:25:23.2982596Z Results for model wav2letter on task vjp: nans (var: nan)
2022-11-23T01:25:23.2982881Z Results for model wav2letter on task vjp using Functorch: nans (var: nan)
2022-11-23T01:25:23.2983119Z Found functorch: 1.14.0a0+git1cfd385
2022-11-23T01:25:23.2983409Z Results for model transformer on task vjp: nans (var: nan)
2022-11-23T01:25:23.2984020Z Results for model transformer on task vjp using Functorch: nans (var: nan)
2022-11-23T01:25:23.2984295Z Found functorch: 1.14.0a0+git1cfd385
2022-11-23T01:25:23.2984542Z Results for model multiheadattn on task vjp: nans (var: nan)
2022-11-23T01:25:23.2984881Z Results for model multiheadattn on task vjp using Functorch: nans (var: nan)
2022-11-23T01:25:23.2985103Z ok (25.321s)
2022-11-23T01:25:23.2985964Z   test_slow_tasks (__main__.TestFunctionalAutogradBenchmark) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77260 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:25:23.2986486Z 
2022-11-23T01:25:23.2986684Z ----------------------------------------------------------------------
2022-11-23T01:25:23.2986932Z Ran 2 tests in 25.322s
2022-11-23T01:25:23.2987067Z 
2022-11-23T01:25:23.2987165Z OK (skipped=1)
2022-11-23T01:25:23.2987262Z 
2022-11-23T01:25:23.2987345Z Generating XML reports...
2022-11-23T01:25:23.2987871Z Generated XML report: test-reports/python-unittest/test_functional_autograd_benchmark/TEST-TestFunctionalAutogradBenchmark-20221123012457.xml
2022-11-23T01:25:23.2988171Z 
2022-11-23T01:25:23.2988424Z ##[endgroup]
2022-11-23T01:25:23.2988918Z FINISHED PRINTING LOG FILE of test_functional_autograd_benchmark (/var/lib/jenkins/workspace/test/test-reports/test_functional_autograd_benchmark_j22ge1_f)
2022-11-23T01:25:23.2989174Z 
2022-11-23T01:25:25.2675770Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:25:25.3546923Z Ignoring disabled issues:  []
2022-11-23T01:25:25.3853687Z Running test_functional_optim ... [2022-11-23 01:25:25.384977]
2022-11-23T01:25:25.3855191Z Executing ['/opt/conda/bin/python', '-bb', 'test_functional_optim.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:25.385257]
2022-11-23T01:25:27.6994140Z 
2022-11-23T01:25:27.6994647Z Expand the folded group to see the log file of test_functional_optim
2022-11-23T01:25:27.6995598Z ##[group]PRINTING LOG FILE of test_functional_optim (/var/lib/jenkins/workspace/test/test-reports/test_functional_optim_i16klyqc)
2022-11-23T01:25:27.6996238Z 
2022-11-23T01:25:27.6996726Z Running tests...
2022-11-23T01:25:27.6997443Z ----------------------------------------------------------------------
2022-11-23T01:25:27.6998107Z Test results will be stored in test-reports/python-unittest/test_functional_optim
2022-11-23T01:25:27.6998771Z   test_functional_optim_parity_adam (__main__.TestFunctionalOptimParity) ... ok (0.282s)
2022-11-23T01:25:27.6999275Z   test_functional_optim_parity_adam_w (__main__.TestFunctionalOptimParity) ... ok (0.025s)
2022-11-23T01:25:27.6999891Z   test_functional_optim_parity_sgd (__main__.TestFunctionalOptimParity) ... ok (0.024s)
2022-11-23T01:25:27.7000249Z   test_functional_optim_registration (__main__.TestFunctionalOptimParity) ... ok (0.001s)
2022-11-23T01:25:27.7000452Z 
2022-11-23T01:25:27.7000660Z ----------------------------------------------------------------------
2022-11-23T01:25:27.7000893Z Ran 4 tests in 0.332s
2022-11-23T01:25:27.7001009Z 
2022-11-23T01:25:27.7001071Z OK
2022-11-23T01:25:27.7001167Z 
2022-11-23T01:25:27.7001253Z Generating XML reports...
2022-11-23T01:25:27.7001720Z Generated XML report: test-reports/python-unittest/test_functional_optim/TEST-TestFunctionalOptimParity-20221123012526.xml
2022-11-23T01:25:27.7004546Z 
2022-11-23T01:25:27.7005089Z ##[endgroup]
2022-11-23T01:25:27.7005638Z FINISHED PRINTING LOG FILE of test_functional_optim (/var/lib/jenkins/workspace/test/test-reports/test_functional_optim_i16klyqc)
2022-11-23T01:25:27.7005874Z 
2022-11-23T01:25:29.7168806Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:25:29.7999344Z Ignoring disabled issues:  []
2022-11-23T01:25:29.8159830Z Running test_functionalization ... [2022-11-23 01:25:29.815664]
2022-11-23T01:25:29.8161881Z Executing ['/opt/conda/bin/python', '-bb', 'test_functionalization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:29.815951]
2022-11-23T01:25:33.0373497Z 
2022-11-23T01:25:33.0374039Z Expand the folded group to see the log file of test_functionalization
2022-11-23T01:25:33.0374973Z ##[group]PRINTING LOG FILE of test_functionalization (/var/lib/jenkins/workspace/test/test-reports/test_functionalization_kpjc615g)
2022-11-23T01:25:33.0375383Z 
2022-11-23T01:25:33.0375489Z Running tests...
2022-11-23T01:25:33.0376059Z ----------------------------------------------------------------------
2022-11-23T01:25:33.0376751Z Test results will be stored in test-reports/python-unittest/test_functionalization
2022-11-23T01:25:33.0377116Z   test_aliases_maintained_after_pass_when_reapplying_views (__main__.TestFunctionalization) ... ok (0.239s)
2022-11-23T01:25:33.0377480Z   test_as_strided (__main__.TestFunctionalization) ... ok (0.020s)
2022-11-23T01:25:33.0377766Z   test_cat (__main__.TestFunctionalization) ... ok (0.017s)
2022-11-23T01:25:33.0378024Z   test_copy_ (__main__.TestFunctionalization) ... ok (0.083s)
2022-11-23T01:25:33.0378319Z   test_copy_stride_mismatch (__main__.TestFunctionalization) ... ok (0.001s)
2022-11-23T01:25:33.0379531Z   test_diagonal (__main__.TestFunctionalization) ... ok (0.027s)
2022-11-23T01:25:33.0380134Z   test_diagonal_mutated_input (__main__.TestFunctionalization) ... ok (0.019s)
2022-11-23T01:25:33.0380648Z   test_everything (__main__.TestFunctionalization) ... ok (0.166s)
2022-11-23T01:25:33.0381146Z   test_expand_symint (__main__.TestFunctionalization) ... ok (0.010s)
2022-11-23T01:25:33.0381649Z   test_fill_ (__main__.TestFunctionalization) ... ok (0.024s)
2022-11-23T01:25:33.0382145Z   test_freeze (__main__.TestFunctionalization) ... ok (0.010s)
2022-11-23T01:25:33.0382697Z   test_index_mutation_on_non_input (__main__.TestFunctionalization) ... ok (0.025s)
2022-11-23T01:25:33.0383468Z   test_inplace_on_non_view (__main__.TestFunctionalization) ... ok (0.027s)
2022-11-23T01:25:33.0384031Z   test_metadata_change (__main__.TestFunctionalization) ... ok (0.021s)
2022-11-23T01:25:33.0384545Z   test_metadata_change_out_op (__main__.TestFunctionalization) ... ok (0.001s)
2022-11-23T01:25:33.0385063Z   test_mixed_wrappers_invalid (__main__.TestFunctionalization) ... ok (0.005s)
2022-11-23T01:25:33.0385583Z   test_mixed_wrappers_valid (__main__.TestFunctionalization) ... ok (0.001s)
2022-11-23T01:25:33.0386926Z   test_multi_out (__main__.TestFunctionalization) ... /var/lib/jenkins/workspace/test/test_functionalization.py:258: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:25:33.0388492Z   torch.aminmax(x, dim=0, out=(out_max, out_min))
2022-11-23T01:25:33.0388841Z ok (0.022s)
2022-11-23T01:25:33.0389265Z   test_multiple_views_of_same_base (__main__.TestFunctionalization) ... ok (0.019s)
2022-11-23T01:25:33.0389863Z   test_mutable_op_not_inplace_or_other (__main__.TestFunctionalization) ... ok (0.007s)
2022-11-23T01:25:33.0390389Z   test_nested_functions_propagate_updates (__main__.TestFunctionalization) ... ok (0.014s)
2022-11-23T01:25:33.0390921Z   test_only_one_view (__main__.TestFunctionalization) ... ok (0.003s)
2022-11-23T01:25:33.0391459Z   test_optional_tensor_list (__main__.TestFunctionalization) ... ok (0.023s)
2022-11-23T01:25:33.0391979Z   test_reapply_views_simple (__main__.TestFunctionalization) ... ok (0.022s)
2022-11-23T01:25:33.0392520Z   test_resize_larger_invalid (__main__.TestFunctionalization) ... ok (0.004s)
2022-11-23T01:25:33.0393025Z   test_resize_larger_valid (__main__.TestFunctionalization) ... ok (0.031s)
2022-11-23T01:25:33.0393524Z   test_resize_smaller (__main__.TestFunctionalization) ... ok (0.070s)
2022-11-23T01:25:33.0394194Z   test_save_for_backwards_segfault (__main__.TestFunctionalization) ... ok (0.001s)
2022-11-23T01:25:33.0394715Z   test_scalars (__main__.TestFunctionalization) ... ok (0.026s)
2022-11-23T01:25:33.0395215Z   test_simple (__main__.TestFunctionalization) ... ok (0.032s)
2022-11-23T01:25:33.0396640Z   test_simple_out (__main__.TestFunctionalization) ... /var/lib/jenkins/workspace/test/test_functionalization.py:220: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [4, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:25:33.0417175Z   torch.add(y, tmp, out=z)
2022-11-23T01:25:33.0418389Z ok (0.028s)
2022-11-23T01:25:33.0418631Z   test_split (__main__.TestFunctionalization) ... ok (0.034s)
2022-11-23T01:25:33.0418921Z   test_tensor_ctr (__main__.TestFunctionalization) ... ok (0.027s)
2022-11-23T01:25:33.0419211Z   test_tensor_list_composite (__main__.TestFunctionalization) ... ok (0.010s)
2022-11-23T01:25:33.0419553Z   test_tensor_list_mixed_functional_nonfunctional (__main__.TestFunctionalization) ... ok (0.001s)
2022-11-23T01:25:33.0420080Z   test_view_clone_view_inplace (__main__.TestFunctionalization) ... /var/lib/jenkins/workspace/test/test_functionalization.py:144: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging.
2022-11-23T01:25:33.0420856Z   with torch.autograd.detect_anomaly(check_nan=False):
2022-11-23T01:25:33.0421257Z ok (0.374s)
2022-11-23T01:25:33.0421667Z   test_view_inplace (__main__.TestFunctionalization) ... ok (0.029s)
2022-11-23T01:25:33.0422134Z 
2022-11-23T01:25:33.0422574Z ----------------------------------------------------------------------
2022-11-23T01:25:33.0422909Z Ran 37 tests in 1.472s
2022-11-23T01:25:33.0423025Z 
2022-11-23T01:25:33.0423072Z OK
2022-11-23T01:25:33.0423164Z 
2022-11-23T01:25:33.0423250Z Generating XML reports...
2022-11-23T01:25:33.0423710Z Generated XML report: test-reports/python-unittest/test_functionalization/TEST-TestFunctionalization-20221123012531.xml
2022-11-23T01:25:33.0423968Z 
2022-11-23T01:25:33.0424265Z ##[endgroup]
2022-11-23T01:25:33.0424679Z FINISHED PRINTING LOG FILE of test_functionalization (/var/lib/jenkins/workspace/test/test-reports/test_functionalization_kpjc615g)
2022-11-23T01:25:33.0424919Z 
2022-11-23T01:25:34.9568296Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:25:35.0369260Z Ignoring disabled issues:  []
2022-11-23T01:25:35.0529267Z Running test_futures ... [2022-11-23 01:25:35.052600]
2022-11-23T01:25:35.0531049Z Executing ['/opt/conda/bin/python', '-bb', 'test_futures.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:35.052872]
2022-11-23T01:25:37.6956286Z 
2022-11-23T01:25:37.6964360Z Expand the folded group to see the log file of test_futures
2022-11-23T01:25:37.6965064Z ##[group]PRINTING LOG FILE of test_futures (/var/lib/jenkins/workspace/test/test-reports/test_futures_la8sflnl)
2022-11-23T01:25:37.6965309Z 
2022-11-23T01:25:37.6965386Z Running tests...
2022-11-23T01:25:37.6965786Z ----------------------------------------------------------------------
2022-11-23T01:25:37.6966147Z Test results will be stored in test-reports/python-unittest/test_futures
2022-11-23T01:25:37.6966560Z   test_add_done_callback_error_is_ignored (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: ValueError: Expected error
2022-11-23T01:25:37.6966828Z 
2022-11-23T01:25:37.6966890Z At:
2022-11-23T01:25:37.6967120Z   /var/lib/jenkins/workspace/test/test_futures.py(236): raise_value_error
2022-11-23T01:25:37.6967506Z   /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py(241): set_result
2022-11-23T01:25:37.6967840Z   /var/lib/jenkins/workspace/test/test_futures.py(229): _test_add_done_callback_error_ignored
2022-11-23T01:25:37.6968176Z   /var/lib/jenkins/workspace/test/test_futures.py(238): test_add_done_callback_error_is_ignored
2022-11-23T01:25:37.6968473Z   /opt/conda/lib/python3.10/unittest/case.py(549): _callTestMethod
2022-11-23T01:25:37.6968741Z   /opt/conda/lib/python3.10/unittest/case.py(591): run
2022-11-23T01:25:37.6969135Z   /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(2127): _run_with_retry
2022-11-23T01:25:37.6969559Z   /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(2198): run
2022-11-23T01:25:37.6969853Z   /opt/conda/lib/python3.10/unittest/case.py(650): __call__
2022-11-23T01:25:37.6970112Z   /opt/conda/lib/python3.10/unittest/suite.py(122): run
2022-11-23T01:25:37.6970372Z   /opt/conda/lib/python3.10/unittest/suite.py(84): __call__
2022-11-23T01:25:37.6970615Z   /opt/conda/lib/python3.10/unittest/suite.py(122): run
2022-11-23T01:25:37.6970873Z   /opt/conda/lib/python3.10/unittest/suite.py(84): __call__
2022-11-23T01:25:37.6971214Z   /opt/conda/lib/python3.10/site-packages/xmlrunner/runner.py(67): run
2022-11-23T01:25:37.6971485Z   /opt/conda/lib/python3.10/unittest/main.py(271): runTests
2022-11-23T01:25:37.6971742Z   /opt/conda/lib/python3.10/unittest/main.py(101): __init__
2022-11-23T01:25:37.6972120Z   /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(786): run_tests
2022-11-23T01:25:37.6972433Z   /var/lib/jenkins/workspace/test/test_futures.py(340): <module>
2022-11-23T01:25:37.6972574Z 
2022-11-23T01:25:37.6972643Z ok (0.242s)
2022-11-23T01:25:37.6972890Z   test_add_done_callback_maintains_callback_order (__main__.TestFuture) ... ok (0.002s)
2022-11-23T01:25:37.6973588Z   test_add_done_callback_no_arg_error_is_ignored (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: TypeError: TestFuture.test_add_done_callback_no_arg_error_is_ignored.<locals>.no_arg() takes 0 positional arguments but 1 was given
2022-11-23T01:25:37.6974009Z ok (0.001s)
2022-11-23T01:25:37.6974224Z   test_add_done_callback_simple (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6974494Z   test_chained_then (__main__.TestFuture) ... ok (0.004s)
2022-11-23T01:25:37.6974746Z   test_collect_all (__main__.TestFuture) ... ok (0.102s)
2022-11-23T01:25:37.6974974Z   test_done (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6975223Z   test_done_exception (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6975543Z   test_interleaving_then_and_add_done_callback_maintains_callback_order (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6976050Z   test_interleaving_then_and_add_done_callback_propagates_error (__main__.TestFuture) ... [E pybind_utils.h:212] Got the following error when running the callback: ValueError: Expected error
2022-11-23T01:25:37.6976330Z 
2022-11-23T01:25:37.6976393Z At:
2022-11-23T01:25:37.6976798Z   /var/lib/jenkins/workspace/test/test_futures.py(280): raise_value_error
2022-11-23T01:25:37.6977189Z   /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py(241): set_result
2022-11-23T01:25:37.6977535Z   /var/lib/jenkins/workspace/test/test_futures.py(285): test_interleaving_then_and_add_done_callback_propagates_error
2022-11-23T01:25:37.6977872Z   /opt/conda/lib/python3.10/unittest/case.py(549): _callTestMethod
2022-11-23T01:25:37.6978145Z   /opt/conda/lib/python3.10/unittest/case.py(591): run
2022-11-23T01:25:37.6980521Z   /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(2127): _run_with_retry
2022-11-23T01:25:37.6981266Z   /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(2198): run
2022-11-23T01:25:37.6981826Z   /opt/conda/lib/python3.10/unittest/case.py(650): __call__
2022-11-23T01:25:37.6982300Z   /opt/conda/lib/python3.10/unittest/suite.py(122): run
2022-11-23T01:25:37.6982766Z   /opt/conda/lib/python3.10/unittest/suite.py(84): __call__
2022-11-23T01:25:37.6984125Z   /opt/conda/lib/python3.10/unittest/suite.py(122): run
2022-11-23T01:25:37.6985143Z   /opt/conda/lib/python3.10/unittest/suite.py(84): __call__
2022-11-23T01:25:37.6986373Z   /opt/conda/lib/python3.10/site-packages/xmlrunner/runner.py(67): run
2022-11-23T01:25:37.6987223Z   /opt/conda/lib/python3.10/unittest/main.py(271): runTests
2022-11-23T01:25:37.6988002Z   /opt/conda/lib/python3.10/unittest/main.py(101): __init__
2022-11-23T01:25:37.6989063Z   /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py(786): run_tests
2022-11-23T01:25:37.6990090Z   /var/lib/jenkins/workspace/test/test_futures.py(340): <module>
2022-11-23T01:25:37.6990631Z 
2022-11-23T01:25:37.6990905Z ok (0.001s)
2022-11-23T01:25:37.6991168Z   test_mark_future_twice (__main__.TestFuture) ... ok (0.002s)
2022-11-23T01:25:37.6991616Z   test_pickle_future (__main__.TestFuture) ... ok (0.002s)
2022-11-23T01:25:37.6992062Z   test_set_exception (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6992547Z   test_set_exception_multithreading (__main__.TestFuture) ... ok (0.002s)
2022-11-23T01:25:37.6993015Z   test_then (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6993440Z   test_then_no_arg (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6993934Z   test_then_raise (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6994383Z   test_then_wrong_arg (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6994824Z   test_wait (__main__.TestFuture) ... ok (0.001s)
2022-11-23T01:25:37.6995248Z   test_wait_all (__main__.TestFuture) ... [1, 2]
2022-11-23T01:25:37.6995601Z ok (0.001s)
2022-11-23T01:25:37.6995994Z   test_wait_multi_thread (__main__.TestFuture) ... ok (0.502s)
2022-11-23T01:25:37.6996422Z   test_wait_none (__main__.TestFuture) ... ok (0.004s)
2022-11-23T01:25:37.6996587Z 
2022-11-23T01:25:37.6996884Z ----------------------------------------------------------------------
2022-11-23T01:25:37.6997484Z Ran 22 tests in 0.876s
2022-11-23T01:25:37.6997700Z 
2022-11-23T01:25:37.6997809Z OK
2022-11-23T01:25:37.6997903Z 
2022-11-23T01:25:37.6997989Z Generating XML reports...
2022-11-23T01:25:37.6998386Z Generated XML report: test-reports/python-unittest/test_futures/TEST-TestFuture-20221123012536.xml
2022-11-23T01:25:37.6998606Z 
2022-11-23T01:25:37.6998963Z ##[endgroup]
2022-11-23T01:25:37.6999340Z FINISHED PRINTING LOG FILE of test_futures (/var/lib/jenkins/workspace/test/test-reports/test_futures_la8sflnl)
2022-11-23T01:25:37.6999561Z 
2022-11-23T01:25:39.6440409Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:25:39.7239963Z Ignoring disabled issues:  []
2022-11-23T01:25:39.7398835Z Running test_fx_experimental ... [2022-11-23 01:25:39.739534]
2022-11-23T01:25:39.7400119Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_experimental.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:25:39.739808]
2022-11-23T01:25:59.6753125Z 
2022-11-23T01:25:59.6753647Z Expand the folded group to see the log file of test_fx_experimental
2022-11-23T01:25:59.6755342Z ##[group]PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_izoran1g)
2022-11-23T01:25:59.6755631Z 
2022-11-23T01:25:59.6755708Z Running tests...
2022-11-23T01:25:59.6756404Z ----------------------------------------------------------------------
2022-11-23T01:25:59.6756860Z Test results will be stored in test-reports/python-unittest/test_fx_experimental
2022-11-23T01:25:59.6757860Z   test_annotate_returns_with_schema (__main__.TestFXExperimental) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
2022-11-23T01:25:59.6758561Z   warnings.warn("The TorchScript type system doesn't support "
2022-11-23T01:25:59.6758787Z ok (1.833s)
2022-11-23T01:25:59.6759025Z   test_aot_based_partition (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:25:59.6759364Z   test_call_to_assert_no_msg (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:25:59.6759675Z   test_call_to_assert_with_empty_msg (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:25:59.6760007Z   test_call_to_assert_with_msg (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:25:59.6760345Z   test_call_to_assert_with_multiline_message (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:25:59.6760636Z   test_conv_bn_fusion (__main__.TestFXExperimental) ... ok (1.202s)
2022-11-23T01:25:59.6760983Z   test_conv_bn_fusion_not_running_state (__main__.TestFXExperimental) ... ok (0.011s)
2022-11-23T01:25:59.6761296Z   test_cost_aware_partition (__main__.TestFXExperimental) ... ok (0.012s)
2022-11-23T01:25:59.6761614Z   test_fetch (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:25:59.6761898Z   test_find_single_partition (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:25:59.6762188Z   test_lack_of_devices (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:25:59.6762526Z   test_large_node_error (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:25:59.6762781Z   test_merge_matmuls (__main__.TestFXExperimental)
2022-11-23T01:25:59.6763127Z A collection of test cases for torch.fx.experimental.merge_matmul, ... ok (0.027s)
2022-11-23T01:25:59.6763436Z   test_meta_tracer (__main__.TestFXExperimental) ... ok (0.025s)
2022-11-23T01:25:59.6763704Z   test_normalize_args (__main__.TestFXExperimental) ... ok (0.709s)
2022-11-23T01:25:59.6764392Z   test_normalize_args_perserve_type (__main__.TestFXExperimental) ... /opt/conda/lib/python3.10/site-packages/torch/fx/operator_schemas.py:207: UserWarning: Does not support nested parametric types, got typing.List[~t]. Please file a bug.
2022-11-23T01:25:59.6764854Z   warnings.warn(
2022-11-23T01:25:59.6765023Z ok (0.006s)
2022-11-23T01:25:59.6765454Z   test_normalize_args_preserve_meta (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:25:59.6765778Z   test_normalize_binary_operators (__main__.TestFXExperimental) ... ok (0.157s)
2022-11-23T01:25:59.6766124Z   test_normalize_modules_exhaustive (__main__.TestFXExperimental)
2022-11-23T01:25:59.6767000Z Exhaustively test `Node.normalized_arguments` on all standard ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:309: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:25:59.6767579Z   return F.conv1d(input, weight, bias, self.stride,
2022-11-23T01:25:59.6767815Z ok (1.641s)
2022-11-23T01:25:59.6768126Z   test_optimize_for_inference_cpu (__main__.TestFXExperimental) ... ok (0.264s)
2022-11-23T01:25:59.6768494Z   test_optimize_for_inference_cpu_torchvision (__main__.TestFXExperimental) ... ok (10.403s)
2022-11-23T01:25:59.6768823Z   test_partition_device_mapping (__main__.TestFXExperimental) ... ok (0.008s)
2022-11-23T01:25:59.6769172Z   test_partition_latency (__main__.TestFXExperimental) ... ok (0.007s)
2022-11-23T01:25:59.6769472Z   test_partition_node_manipulation (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:25:59.6769787Z   test_replace_target_nodes_with (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:25:59.6770133Z   test_saturate_host (__main__.TestFXExperimental) ... [0, 4]
2022-11-23T01:25:59.6770346Z [1, 2]
2022-11-23T01:25:59.6770487Z ok (0.006s)
2022-11-23T01:25:59.6770767Z   test_size_based_partition (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:25:59.6771064Z   test_sparse_nn_partition (__main__.TestFXExperimental) ... ok (0.246s)
2022-11-23T01:25:59.6771374Z   test_split_module_default_arg (__main__.TestFXExperimental) ... ok (0.010s)
2022-11-23T01:25:59.6771715Z   test_split_module_kwargs_expansion (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:25:59.6772024Z   test_split_qualname_mapping (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:25:59.6772361Z   test_subgraph_creation (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:25:59.6772660Z   test_subgraph_trivial_resnet (__main__.TestFXExperimental) ... ok (0.256s)
2022-11-23T01:25:59.6773009Z   test_subgraph_uniquename (__main__.TestFXExperimental) ... ok (0.007s)
2022-11-23T01:25:59.6773650Z   test_to_folder (__main__.TestFXExperimental) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph_module.py:476: UserWarning: Was not able to save the following children modules as reprs -saved as pickled files instead: ['seq']
2022-11-23T01:25:59.6774162Z   warnings.warn("Was not able to save the following children modules as reprs -"
2022-11-23T01:25:59.6774427Z ok (0.016s)
2022-11-23T01:25:59.6774714Z   test_traceable_function_with_nonstandard_name (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:25:59.6775025Z   test_type_matches (__main__.TestFXExperimental) ... ok (0.002s)
2022-11-23T01:25:59.6775202Z 
2022-11-23T01:25:59.6775425Z ----------------------------------------------------------------------
2022-11-23T01:25:59.6775666Z Ran 38 tests in 16.917s
2022-11-23T01:25:59.6775780Z 
2022-11-23T01:25:59.6775840Z OK
2022-11-23T01:25:59.6775955Z 
2022-11-23T01:25:59.6776040Z Generating XML reports...
2022-11-23T01:25:59.6776663Z Generated XML report: test-reports/python-unittest/test_fx_experimental/TEST-TestFXExperimental-20221123012542.xml
2022-11-23T01:25:59.6776920Z 
2022-11-23T01:25:59.6777192Z ##[endgroup]
2022-11-23T01:25:59.6777644Z FINISHED PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_izoran1g)
2022-11-23T01:25:59.6777874Z 
2022-11-23T01:26:01.6294064Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:26:01.7120283Z Ignoring disabled issues:  []
2022-11-23T01:26:01.7784979Z Running test_fx_passes ... [2022-11-23 01:26:01.778099]
2022-11-23T01:26:01.7785733Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_passes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:01.778357]
2022-11-23T01:26:04.0605244Z 
2022-11-23T01:26:04.0605712Z Expand the folded group to see the log file of test_fx_passes
2022-11-23T01:26:04.0606496Z ##[group]PRINTING LOG FILE of test_fx_passes (/var/lib/jenkins/workspace/test/test-reports/test_fx_passes_ff4qwo2l)
2022-11-23T01:26:04.0607302Z 
2022-11-23T01:26:04.0607500Z Running tests...
2022-11-23T01:26:04.0607973Z ----------------------------------------------------------------------
2022-11-23T01:26:04.0608343Z Test results will be stored in test-reports/python-unittest/test_fx_passes
2022-11-23T01:26:04.0609626Z   test_fuser_util_partition_[['add', 'add_1', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.253s)
2022-11-23T01:26:04.0610889Z   test_fuser_util_partition_[['add', 'add_1'], ['add_5', 'add_6']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T01:26:04.0612178Z   test_fuser_util_partition_[['add', 'linear', 'add_1', 'param', 'add_2', 'add_3', 'add_4', 'linear2', 'add_5', 'add_6', 'relu']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T01:26:04.0613279Z   test_fuser_util_partition_[['add_2', 'add_3']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0614248Z   test_fuser_util_partition_[['add_3', 'add_4']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0615270Z   test_fuser_util_partition_[['add_4', 'add_1', 'add_3', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0616359Z   test_fuser_util_partition_[['add_5', 'add_6'], ['add_1', 'add_2', 'add_3', 'add_4']] (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T01:26:04.0617558Z   test_fuser_util_partition_[['add_5', 'linear2']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0618566Z   test_fuser_util_partition_[['add_6', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0619521Z   test_fuser_util_partition_[['add_6', 'relu']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0620526Z   test_fuser_util_partition_[['param', 'add_1', 'linear']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0621504Z   test_fuser_util_partition_[['param', 'add_2']] (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0622507Z   test_fuser_util_xfail_partition_[['add', 'add_1', 'add_3']] (__main__.TestFXGraphPasses) ... ok (0.003s)
2022-11-23T01:26:04.0623570Z   test_fuser_util_xfail_partition_[['add', 'add_1'], ['add_1', 'add_5', 'add_6']] (__main__.TestFXGraphPasses) ... ok (0.003s)
2022-11-23T01:26:04.0624580Z   test_fuser_util_xfail_partition_[['add_4', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.003s)
2022-11-23T01:26:04.0625562Z   test_fuser_util_xfail_partition_[['relu', 'add_5']] (__main__.TestFXGraphPasses) ... ok (0.003s)
2022-11-23T01:26:04.0627164Z   test_partitioner_fn_<function TestPartitionFunctions_forward1 at 0x7f46989735b0>_expected_partition_[['add_7', 'add_6'], ['add_5', 'add_4', 'add_3'], ['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T01:26:04.0629116Z   test_partitioner_fn_<function TestPartitionFunctions_forward10 at 0x7f4698973ac0>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.013s)
2022-11-23T01:26:04.0630843Z   test_partitioner_fn_<function TestPartitionFunctions_forward11 at 0x7f4698973b50>_expected_partition_[['add_1'], ['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0632539Z   test_partitioner_fn_<function TestPartitionFunctions_forward12 at 0x7f4698973be0>_expected_partition_[['add_2'], ['add_3', 'add_4', 'add_1'], ['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T01:26:04.0634584Z   test_partitioner_fn_<function TestPartitionFunctions_forward13 at 0x7f4698973c70>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0636438Z   test_partitioner_fn_<function TestPartitionFunctions_forward14 at 0x7f4698973d00>_expected_partition_[['add', 'std_mean', 'getitem', 'getitem_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0638411Z   test_partitioner_fn_<function TestPartitionFunctions_forward15 at 0x7f4698973d90>_expected_partition_[['add_1', 'add', 'permute_1', 'view', 'permute_2', 'permute_3', 'permute']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0640290Z   test_partitioner_fn_<function TestPartitionFunctions_forward15 at 0x7f4698973d90>_expected_partition_[['permute_1', 'add_1', 'add']]_bookend_non_compute_pass_True (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0642323Z   test_partitioner_fn_<function TestPartitionFunctions_forward16 at 0x7f4698973e20>_expected_partition_[['add_1', 'add', 'permute_1', 'view', 'permute_2', 'permute_3', 'permute']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T01:26:04.0644127Z   test_partitioner_fn_<function TestPartitionFunctions_forward16 at 0x7f4698973e20>_expected_partition_[['permute_1', 'add_1', 'add']]_bookend_non_compute_pass_True (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T01:26:04.0645883Z   test_partitioner_fn_<function TestPartitionFunctions_forward2 at 0x7f4698973640>_expected_partition_[['add_3', 'add_2'], ['add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0647610Z   test_partitioner_fn_<function TestPartitionFunctions_forward3 at 0x7f46989736d0>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0649355Z   test_partitioner_fn_<function TestPartitionFunctions_forward4 at 0x7f4698973760>_expected_partition_[['add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0651011Z   test_partitioner_fn_<function TestPartitionFunctions_forward5 at 0x7f46989737f0>_expected_partition_[['add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0663221Z   test_partitioner_fn_<function TestPartitionFunctions_forward6 at 0x7f4698973880>_expected_partition_[['add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.004s)
2022-11-23T01:26:04.0665037Z   test_partitioner_fn_<function TestPartitionFunctions_forward7 at 0x7f4698973910>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0666792Z   test_partitioner_fn_<function TestPartitionFunctions_forward8 at 0x7f46989739a0>_expected_partition_[['add_3', 'add_2', 'add', 'add_1']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.006s)
2022-11-23T01:26:04.0668580Z   test_partitioner_fn_<function TestPartitionFunctions_forward9 at 0x7f4698973a30>_expected_partition_[['add_3', 'add_2', 'add_1', 'add']]_bookend_non_compute_pass_False (__main__.TestFXGraphPasses) ... ok (0.005s)
2022-11-23T01:26:04.0669973Z   test_subgraph_matcher_test_model_<class '__main___ChainRepeatedPattern'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0671229Z   test_subgraph_matcher_test_model_<class '__main___DiamondShapePatternTestCase'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0672574Z   test_subgraph_matcher_test_model_<class '__main___MultiOutputWithWithInvalidMatches'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0674035Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsHorizontalPattern'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0675393Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsIdenticalAnchor'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0676996Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsMultipleNonOverlappingMatches'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0678508Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsMultipleOverlappingMatches'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0679945Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsWithDependency'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0681265Z   test_subgraph_matcher_test_model_<class '__main___MultipleOutputsWithoutDependency'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0682443Z   test_subgraph_matcher_test_model_<class '__main___NoAnchorFound'> (__main__.TestFXMatcherUtils) ... ok (0.003s)
2022-11-23T01:26:04.0683629Z   test_subgraph_matcher_test_model_<class '__main___NonFullyContainedMatches'> (__main__.TestFXMatcherUtils) ... ok (0.005s)
2022-11-23T01:26:04.0684985Z   test_subgraph_matcher_test_model_<class '__main___QuantizationFp8Pattern'> (__main__.TestFXMatcherUtils) ... ok (0.005s)
2022-11-23T01:26:04.0686161Z   test_subgraph_matcher_test_model_<class '__main___QuantizationModel'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0687255Z   test_subgraph_matcher_test_model_<class '__main___SimpleFullGraphMatching'> (__main__.TestFXMatcherUtils) ... ok (0.004s)
2022-11-23T01:26:04.0688310Z   test_subgraph_matcher_test_model_<class '__main___SimplePattern'> (__main__.TestFXMatcherUtils) ... ok (0.005s)
2022-11-23T01:26:04.0689362Z   test_subgraph_matcher_test_model_<class '__main___SingleNodePattern'> (__main__.TestFXMatcherUtils) ... ok (0.003s)
2022-11-23T01:26:04.0689874Z 
2022-11-23T01:26:04.0690344Z ----------------------------------------------------------------------
2022-11-23T01:26:04.0690917Z Ran 50 tests in 0.491s
2022-11-23T01:26:04.0691184Z 
2022-11-23T01:26:04.0691322Z OK
2022-11-23T01:26:04.0691544Z 
2022-11-23T01:26:04.0691747Z Generating XML reports...
2022-11-23T01:26:04.0692758Z Generated XML report: test-reports/python-unittest/test_fx_passes/TEST-TestFXGraphPasses-20221123012603.xml
2022-11-23T01:26:04.0694023Z Generated XML report: test-reports/python-unittest/test_fx_passes/TEST-TestFXMatcherUtils-20221123012603.xml
2022-11-23T01:26:04.0694602Z 
2022-11-23T01:26:04.0695277Z ##[endgroup]
2022-11-23T01:26:04.0696212Z FINISHED PRINTING LOG FILE of test_fx_passes (/var/lib/jenkins/workspace/test/test-reports/test_fx_passes_ff4qwo2l)
2022-11-23T01:26:04.0773431Z 
2022-11-23T01:26:06.0041199Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:26:06.0841738Z Ignoring disabled issues:  []
2022-11-23T01:26:06.1001546Z Running test_fx_reinplace_pass ... [2022-11-23 01:26:06.099800]
2022-11-23T01:26:06.1002906Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:06.100068]
2022-11-23T01:26:08.2957852Z 
2022-11-23T01:26:08.2958458Z Expand the folded group to see the log file of test_fx_reinplace_pass
2022-11-23T01:26:08.2959755Z ##[group]PRINTING LOG FILE of test_fx_reinplace_pass (/var/lib/jenkins/workspace/test/test-reports/test_fx_reinplace_pass_81qll4in)
2022-11-23T01:26:08.2960041Z 
2022-11-23T01:26:08.2960104Z Running tests...
2022-11-23T01:26:08.2960512Z ----------------------------------------------------------------------
2022-11-23T01:26:08.2960909Z Test results will be stored in test-reports/python-unittest/test_fx_reinplace_pass
2022-11-23T01:26:08.2961227Z   test_out_node_updated (__main__.TestReinplacePass) ... ok (0.266s)
2022-11-23T01:26:08.2961504Z   test_reinplace_basic (__main__.TestReinplacePass) ... ok (0.006s)
2022-11-23T01:26:08.2961812Z   test_reinplace_different_metadata (__main__.TestReinplacePass) ... ok (0.006s)
2022-11-23T01:26:08.2962126Z   test_reinplace_index_mutation (__main__.TestReinplacePass) ... ok (0.018s)
2022-11-23T01:26:08.2962439Z   test_reinplace_overlapping_memory (__main__.TestReinplacePass) ... ok (0.006s)
2022-11-23T01:26:08.2962920Z   test_reinplace_scatter_op (__main__.TestReinplacePass) ... ok (0.055s)
2022-11-23T01:26:08.2963227Z   test_reinplace_scatter_twice (__main__.TestReinplacePass) ... ok (0.056s)
2022-11-23T01:26:08.2963556Z   test_reinplace_scatter_twice_with_different_view_op_invalid (__main__.TestReinplacePass) ... ok (0.013s)
2022-11-23T01:26:08.2963926Z   test_reinplace_scatter_twice_with_different_view_op_invalid2 (__main__.TestReinplacePass) ... ok (0.012s)
2022-11-23T01:26:08.2964299Z   test_reinplace_scatter_twice_with_different_view_op_valid (__main__.TestReinplacePass) ... ok (0.012s)
2022-11-23T01:26:08.2964628Z   test_reinplace_with_view (__main__.TestReinplacePass) ... ok (0.007s)
2022-11-23T01:26:08.2964792Z 
2022-11-23T01:26:08.2964981Z ----------------------------------------------------------------------
2022-11-23T01:26:08.2965290Z Ran 11 tests in 0.459s
2022-11-23T01:26:08.2965406Z 
2022-11-23T01:26:08.2965470Z OK
2022-11-23T01:26:08.2965561Z 
2022-11-23T01:26:08.2965645Z Generating XML reports...
2022-11-23T01:26:08.2966075Z Generated XML report: test-reports/python-unittest/test_fx_reinplace_pass/TEST-TestReinplacePass-20221123012607.xml
2022-11-23T01:26:08.2966321Z 
2022-11-23T01:26:08.2966560Z ##[endgroup]
2022-11-23T01:26:08.2966967Z FINISHED PRINTING LOG FILE of test_fx_reinplace_pass (/var/lib/jenkins/workspace/test/test-reports/test_fx_reinplace_pass_81qll4in)
2022-11-23T01:26:08.2967185Z 
2022-11-23T01:26:10.2017375Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:26:10.2794922Z Ignoring disabled issues:  []
2022-11-23T01:26:10.2952287Z Running test_hub ... [2022-11-23 01:26:10.294968]
2022-11-23T01:26:10.2954548Z Executing ['/opt/conda/bin/python', '-bb', 'test_hub.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:10.295246]
2022-11-23T01:26:11.9461040Z 
2022-11-23T01:26:11.9461588Z Expand the folded group to see the log file of test_hub
2022-11-23T01:26:11.9462634Z ##[group]PRINTING LOG FILE of test_hub (/var/lib/jenkins/workspace/test/test-reports/test_hub_i87s2agt)
2022-11-23T01:26:11.9463023Z 
2022-11-23T01:26:11.9463386Z ##[endgroup]
2022-11-23T01:26:11.9464164Z FINISHED PRINTING LOG FILE of test_hub (/var/lib/jenkins/workspace/test/test-reports/test_hub_i87s2agt)
2022-11-23T01:26:11.9464537Z 
2022-11-23T01:26:13.9202842Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:26:13.9999633Z Ignoring disabled issues:  []
2022-11-23T01:26:14.0157971Z Running test_import_stats ... [2022-11-23 01:26:14.015476]
2022-11-23T01:26:14.0159874Z Executing ['/opt/conda/bin/python', '-bb', 'test_import_stats.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:14.015763]
2022-11-23T01:26:18.8856583Z 
2022-11-23T01:26:18.8857097Z Expand the folded group to see the log file of test_import_stats
2022-11-23T01:26:18.8858520Z ##[group]PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_202_7exo)
2022-11-23T01:26:18.8859124Z 
2022-11-23T01:26:18.8859298Z Running tests...
2022-11-23T01:26:18.8860132Z ----------------------------------------------------------------------
2022-11-23T01:26:18.8861029Z Test results will be stored in test-reports/python-unittest/test_import_stats
2022-11-23T01:26:18.8861774Z   test_time_cuda_device_count (__main__.TestImportTime) ... ok (1.694s)
2022-11-23T01:26:18.8862474Z   test_time_import_torch (__main__.TestImportTime) ... ok (1.478s)
2022-11-23T01:26:18.8862842Z 
2022-11-23T01:26:18.8863296Z ----------------------------------------------------------------------
2022-11-23T01:26:18.8863845Z Ran 2 tests in 3.172s
2022-11-23T01:26:18.8864108Z 
2022-11-23T01:26:18.8864246Z OK
2022-11-23T01:26:18.8864463Z 
2022-11-23T01:26:18.8864661Z Generating XML reports...
2022-11-23T01:26:18.8865621Z Generated XML report: test-reports/python-unittest/test_import_stats/TEST-TestImportTime-20221123012615.xml
2022-11-23T01:26:18.8866195Z 
2022-11-23T01:26:18.8866722Z ##[endgroup]
2022-11-23T01:26:18.8867870Z FINISHED PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_202_7exo)
2022-11-23T01:26:18.8868398Z 
2022-11-23T01:26:20.7774643Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:26:20.8553483Z Ignoring disabled issues:  []
2022-11-23T01:26:20.8711142Z Running test_itt ... [2022-11-23 01:26:20.870779]
2022-11-23T01:26:20.8713091Z Executing ['/opt/conda/bin/python', '-bb', 'test_itt.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:20.871037]
2022-11-23T01:26:22.8583125Z 
2022-11-23T01:26:22.8583709Z Expand the folded group to see the log file of test_itt
2022-11-23T01:26:22.8584778Z ##[group]PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_uz7shopa)
2022-11-23T01:26:22.8585028Z 
2022-11-23T01:26:22.8585105Z Running tests...
2022-11-23T01:26:22.8585753Z ----------------------------------------------------------------------
2022-11-23T01:26:22.8586136Z Test results will be stored in test-reports/python-unittest/test_itt
2022-11-23T01:26:22.8586412Z   test_itt (__main__.TestItt) ... ok (0.246s)
2022-11-23T01:26:22.8586591Z 
2022-11-23T01:26:22.8586788Z ----------------------------------------------------------------------
2022-11-23T01:26:22.8587012Z Ran 1 test in 0.246s
2022-11-23T01:26:22.8587129Z 
2022-11-23T01:26:22.8587208Z OK
2022-11-23T01:26:22.8587332Z 
2022-11-23T01:26:22.8587506Z Generating XML reports...
2022-11-23T01:26:22.8587881Z Generated XML report: test-reports/python-unittest/test_itt/TEST-TestItt-20221123012622.xml
2022-11-23T01:26:22.8588145Z 
2022-11-23T01:26:22.8588380Z ##[endgroup]
2022-11-23T01:26:22.8588762Z FINISHED PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_uz7shopa)
2022-11-23T01:26:22.8588980Z 
2022-11-23T01:26:24.7690687Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:26:24.8470713Z Ignoring disabled issues:  []
2022-11-23T01:26:24.8629361Z Running test_jit ... [2022-11-23 01:26:24.862598]
2022-11-23T01:26:24.8630759Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:26:24.862866]
2022-11-23T01:28:41.3233148Z 
2022-11-23T01:28:41.3233663Z Expand the folded group to see the log file of test_jit
2022-11-23T01:28:41.3234582Z ##[group]PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_e38nsma6)
2022-11-23T01:28:41.3247116Z CUDA not available, skipping tests
2022-11-23T01:28:41.3297194Z 
2022-11-23T01:28:41.3297446Z Running tests...
2022-11-23T01:28:41.3298186Z ----------------------------------------------------------------------
2022-11-23T01:28:41.3298785Z Test results will be stored in test-reports/python-unittest/test_jit
2022-11-23T01:28:41.3299214Z   test_becomes_wildcard_annotations (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.002s)
2022-11-23T01:28:41.3299780Z   test_nested_list_construct_not_wildcard (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.010s)
2022-11-23T01:28:41.3300342Z   test_recursive_calls (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.015s)
2022-11-23T01:28:41.3300949Z   test_async_future_type_python (jit.test_async.TestAsync) ... ok (0.001s)
2022-11-23T01:28:41.3301300Z   test_async_grad_guard_no_grad (jit.test_async.TestAsync) ... ok (0.044s)
2022-11-23T01:28:41.3301704Z   test_async_grad_guard_with_grad (jit.test_async.TestAsync) ... ok (0.007s)
2022-11-23T01:28:41.3302130Z   test_async_kwargs (jit.test_async.TestAsync) ... ok (0.202s)
2022-11-23T01:28:41.3302642Z   test_async_parsing (jit.test_async.TestAsync) ... ok (0.009s)
2022-11-23T01:28:41.3303023Z   test_async_python (jit.test_async.TestAsync) ... ok (0.003s)
2022-11-23T01:28:41.3303523Z   test_async_script (jit.test_async.TestAsync) ... ok (0.006s)
2022-11-23T01:28:41.3304019Z   test_async_script_capture (jit.test_async.TestAsync) ... ok (0.008s)
2022-11-23T01:28:41.3304321Z   test_async_script_error (jit.test_async.TestAsync) ... ok (0.031s)
2022-11-23T01:28:41.3304872Z   test_async_script_multi_forks (jit.test_async.TestAsync) ... ok (0.015s)
2022-11-23T01:28:41.3305375Z   test_async_script_multi_waits (jit.test_async.TestAsync) ... ok (0.006s)
2022-11-23T01:28:41.3305782Z   test_async_script_nested (jit.test_async.TestAsync) ... ok (0.010s)
2022-11-23T01:28:41.3306193Z   test_async_script_no_script_mod (jit.test_async.TestAsync) ... ok (0.002s)
2022-11-23T01:28:41.3306641Z   test_async_script_trace (jit.test_async.TestAsync) ... ok (0.034s)
2022-11-23T01:28:41.3307146Z   test_future_subtyping (jit.test_async.TestAsync)
2022-11-23T01:28:41.3307655Z Test that futures subtype each other properly. ... ok (0.010s)
2022-11-23T01:28:41.3308140Z   test_no_future_subtype_message (jit.test_async.TestAsync) ... ok (0.002s)
2022-11-23T01:28:41.3308623Z   test_trace_fork_wait (jit.test_async.TestAsync) ... ok (0.010s)
2022-11-23T01:28:41.3309282Z   test_trace_fork_wait_inline (jit.test_async.TestAsync) ... ok (0.008s)
2022-11-23T01:28:41.3309817Z   test_trace_fork_wait_leaking (jit.test_async.TestAsync) ... ok (0.002s)
2022-11-23T01:28:41.3310335Z   test_trace_fork_wait_list_modulecalls (jit.test_async.TestAsync) ... ok (0.029s)
2022-11-23T01:28:41.3310871Z   test_trace_modulecalls_with_different_output_types (jit.test_async.TestAsync) ... ok (0.016s)
2022-11-23T01:28:41.3311246Z   test_aten_pow_zero_negative_exponent (jit.test_aten_pow.TestAtenPow)
2022-11-23T01:28:41.3311764Z 1. Testing a = int, b = int ... ok (0.023s)
2022-11-23T01:28:41.3312386Z   test_autodiff_requires_grad_nograd (jit.test_autodiff.TestAutodiffJit) ... ok (0.086s)
2022-11-23T01:28:41.3313117Z   test_requires_grad_outputs (jit.test_autodiff.TestAutodiffJit) ... ok (0.052s)
2022-11-23T01:28:41.3313896Z   test_requires_grad_outputs_profiled_twice (jit.test_autodiff.TestAutodiffJit) ... ok (0.119s)
2022-11-23T01:28:41.3314687Z   test_requires_grad_outputs_side_effects (jit.test_autodiff.TestAutodiffJit) ... ok (0.118s)
2022-11-23T01:28:41.3315434Z   test_undefined_tensor_lists (jit.test_autodiff.TestAutodiffJit) ... ok (0.118s)
2022-11-23T01:28:41.3316245Z   test_aliased_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.003s)
2022-11-23T01:28:41.3317104Z   test_bias_as_arg (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.372s)
2022-11-23T01:28:41.3317978Z   test_bias_as_module_attr (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.313s)
2022-11-23T01:28:41.3318892Z   test_chunk_constant_script_ad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.004s)
2022-11-23T01:28:41.3319804Z   test_constructed_bias (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.023s)
2022-11-23T01:28:41.3320701Z   test_diff_graph_inline_threshold (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s)
2022-11-23T01:28:41.3321861Z   test_differentiable_graph_ops_requires_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: disable until we property handle tensor lists with undefined gradients (0.001s)
2022-11-23T01:28:41.3322988Z   test_does_not_create_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s)
2022-11-23T01:28:41.3323903Z   test_does_not_merge_unrelated (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s)
2022-11-23T01:28:41.3324848Z   test_has_profiled_info_aliasing_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.001s)
2022-11-23T01:28:41.3325796Z   test_merge_respects_aliasing (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.009s)
2022-11-23T01:28:41.3326682Z   test_merges_dense (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s)
2022-11-23T01:28:41.3327542Z   test_merges_down (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s)
2022-11-23T01:28:41.3328377Z   test_merges_up (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s)
2022-11-23T01:28:41.3329351Z   test_merges_without_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s)
2022-11-23T01:28:41.3330450Z   test_prune_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: Simple Executor doesn't support gradients (0.001s)
2022-11-23T01:28:41.3331057Z   test_requires_grad_for_tensor_list (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s)
2022-11-23T01:28:41.3331729Z   test_respects_lexical_scoping (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.007s)
2022-11-23T01:28:41.3332500Z   test_simple_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s)
2022-11-23T01:28:41.3332962Z   test_simple_no_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s)
2022-11-23T01:28:41.3333590Z   test_errors (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T01:28:41.3334222Z ok (0.141s)
2022-11-23T01:28:41.3334705Z   test_execution (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T01:28:41.3335135Z ok (0.130s)
2022-11-23T01:28:41.3335623Z   test_save_load (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T01:28:41.3336047Z ok (0.236s)
2022-11-23T01:28:41.3336361Z   test_errors (jit.test_backends.TestBackendsWithCompiler) ... ok (0.052s)
2022-11-23T01:28:41.3336904Z   test_execution (jit.test_backends.TestBackendsWithCompiler) ... ok (0.070s)
2022-11-23T01:28:41.3337455Z   test_batch_mm_no_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.006s)
2022-11-23T01:28:41.3338105Z   test_batch_mm_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.006s)
2022-11-23T01:28:41.3338777Z   test_batch_mm_prohibited_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.006s)
2022-11-23T01:28:41.3339466Z   test_batch_mm_prohibited_mutation_if_node (jit.test_batch_mm.TestBatchMM) ... ok (0.008s)
2022-11-23T01:28:41.3340171Z   test_batch_mm_prohibited_mutation_multiple_adds (jit.test_batch_mm.TestBatchMM) ... ok (0.008s)
2022-11-23T01:28:41.3340769Z   test_batch_mm_side_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.008s)
2022-11-23T01:28:41.3341467Z   test_batch_mm_side_prohibited_mutation_common_side (jit.test_batch_mm.TestBatchMM) ... ok (0.009s)
2022-11-23T01:28:41.3342215Z   test_batch_mm_side_prohibited_mutation_uncommon_side (jit.test_batch_mm.TestBatchMM) ... ok (0.009s)
2022-11-23T01:28:41.3342876Z   test_del (jit.test_builtins.TestBuiltins) ... ok (0.006s)
2022-11-23T01:28:41.3343495Z   test_del_multiple_operands (jit.test_builtins.TestBuiltins) ... ok (0.008s)
2022-11-23T01:28:41.3344114Z   test_has_attr (jit.test_builtins.TestBuiltins) ... ok (0.018s)
2022-11-23T01:28:41.3344750Z   test_has_attr_invalid_args (jit.test_builtins.TestBuiltins) ... ok (0.008s)
2022-11-23T01:28:41.3345358Z   test_cast_overloads (jit.test_class_type.TestClassType) ... ok (0.037s)
2022-11-23T01:28:41.3345984Z   test_class_attribute_wrong_type (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3346643Z Test that the error message displayed when convering a class type ... ok (0.020s)
2022-11-23T01:28:41.3347296Z   test_class_constant (jit.test_class_type.TestClassType) ... ok (0.032s)
2022-11-23T01:28:41.3347926Z   test_class_constructs_itself (jit.test_class_type.TestClassType) ... ok (0.128s)
2022-11-23T01:28:41.3348587Z   test_class_inheritance (jit.test_class_type.TestClassType) ... ok (0.013s)
2022-11-23T01:28:41.3349372Z   test_class_inheritance_implicit (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3349963Z Test that inheritance is detected in ... ok (0.031s)
2022-11-23T01:28:41.3350543Z   test_class_sorting (jit.test_class_type.TestClassType) ... ok (0.085s)
2022-11-23T01:28:41.3365992Z   test_class_specialization (jit.test_class_type.TestClassType) ... ok (0.077s)
2022-11-23T01:28:41.3366618Z   test_class_type_as_param (jit.test_class_type.TestClassType) ... ok (0.017s)
2022-11-23T01:28:41.3367210Z   test_classmethod (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3367684Z Test classmethods on class types. ... ok (0.022s)
2022-11-23T01:28:41.3368213Z   test_conditional_set_attr (jit.test_class_type.TestClassType) ... ok (0.117s)
2022-11-23T01:28:41.3368744Z   test_custom_delete (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3369418Z Test that del can be called on an instance of a class that ... ok (0.043s)
2022-11-23T01:28:41.3369922Z   test_default_args (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3397941Z Test that methods on class types can have default arguments. ... ok (0.094s)
2022-11-23T01:28:41.3398534Z   test_get_attr (jit.test_class_type.TestClassType) ... ok (0.013s)
2022-11-23T01:28:41.3399081Z   test_get_attr_not_initialized (jit.test_class_type.TestClassType) ... ok (0.011s)
2022-11-23T01:28:41.3399650Z   test_get_with_method (jit.test_class_type.TestClassType) ... ok (0.001s)
2022-11-23T01:28:41.3400200Z   test_imported_classes (jit.test_class_type.TestClassType) ... ok (0.018s)
2022-11-23T01:28:41.3400733Z   test_in (jit.test_class_type.TestClassType) ... ok (0.014s)
2022-11-23T01:28:41.3401264Z   test_init_compiled_first (jit.test_class_type.TestClassType) ... ok (0.125s)
2022-11-23T01:28:41.3401803Z   test_interface (jit.test_class_type.TestClassType) ... ok (0.141s)
2022-11-23T01:28:41.3402365Z   test_optional_type_promotion (jit.test_class_type.TestClassType) ... ok (0.147s)
2022-11-23T01:28:41.3402962Z   test_out_of_order_methods (jit.test_class_type.TestClassType) ... ok (0.016s)
2022-11-23T01:28:41.3403533Z   test_overloaded_fn (jit.test_class_type.TestClassType) ... ok (0.143s)
2022-11-23T01:28:41.3404047Z   test_properties (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3404595Z Test that a scripted class can make use of the @property decorator. ... ok (0.069s)
2022-11-23T01:28:41.3405214Z   test_py_class_to_ivalue_missing_attribute (jit.test_class_type.TestClassType) ... ok (0.019s)
2022-11-23T01:28:41.3405789Z   test_python_interop (jit.test_class_type.TestClassType) ... ok (0.014s)
2022-11-23T01:28:41.3406325Z   test_recursive_class (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3406894Z Recursive class types not yet supported. We should give a good error message. ... ok (0.122s)
2022-11-23T01:28:41.3407519Z   test_recursive_script_builtin_type_resolution (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3408442Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled. ... ok (0.052s)
2022-11-23T01:28:41.3409158Z   test_recursive_script_module_builtin_type_resolution (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3410055Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled ... ok (0.026s)
2022-11-23T01:28:41.3410684Z   test_recursive_scripting (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3411271Z Test that class types are recursively scripted when an Python instance of one ... ok (0.024s)
2022-11-23T01:28:41.3411873Z   test_recursive_scripting_failed (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3412433Z Test that class types module attributes that fail to script ... ok (0.044s)
2022-11-23T01:28:41.3412953Z   test_reference_semantics (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3413511Z Test that modifications made to a class instance in TorchScript ... ok (0.016s)
2022-11-23T01:28:41.3414097Z   test_save_load_with_classes (jit.test_class_type.TestClassType) ... ok (0.017s)
2022-11-23T01:28:41.3414821Z   test_save_load_with_classes_nested (jit.test_class_type.TestClassType) ... ok (0.154s)
2022-11-23T01:28:41.3415422Z   test_save_load_with_classes_returned (jit.test_class_type.TestClassType) ... ok (0.018s)
2022-11-23T01:28:41.3415996Z   test_schema_human_readable (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3416861Z Make sure that the schema is human readable, ie the mode parameter should read "nearest" instead of being displayed in octal ... ok (0.214s)
2022-11-23T01:28:41.3417517Z   test_self_referential_method (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3418102Z Test that a scripted class can have a method that refers to the class itself ... ok (0.025s)
2022-11-23T01:28:41.3418694Z   test_set_attr_in_method (jit.test_class_type.TestClassType) ... ok (0.015s)
2022-11-23T01:28:41.3419281Z   test_set_attr_non_initialized (jit.test_class_type.TestClassType) ... ok (0.011s)
2022-11-23T01:28:41.3419944Z   test_set_attr_type_mismatch (jit.test_class_type.TestClassType) ... ok (0.011s)
2022-11-23T01:28:41.3420497Z   test_staticmethod (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3420971Z Test static methods on class types. ... ok (0.031s)
2022-11-23T01:28:41.3421440Z   test_type_annotation (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3421999Z Test that annotating container attributes with types works correctly ... ok (0.020s)
2022-11-23T01:28:41.3422582Z   test_type_annotations (jit.test_class_type.TestClassType) ... ok (0.125s)
2022-11-23T01:28:41.3423153Z   test_unresolved_class_attributes (jit.test_class_type.TestClassType) ... ok (0.022s)
2022-11-23T01:28:41.3423700Z   test_unused_method (jit.test_class_type.TestClassType)
2022-11-23T01:28:41.3424185Z Test unused methods on scripted classes. ... ok (0.025s)
2022-11-23T01:28:41.3424721Z   test_binary_op_complex_tensor (jit.test_complex.TestComplex) ... ok (0.017s)
2022-11-23T01:28:41.3425270Z   test_comparison_ops (jit.test_complex.TestComplex) ... ok (0.013s)
2022-11-23T01:28:41.3425838Z   test_complex_constants_and_ops (jit.test_complex.TestComplex) ... ok (0.447s)
2022-11-23T01:28:41.3426408Z   test_complex_constructor (jit.test_complex.TestComplex) ... ok (0.047s)
2022-11-23T01:28:41.3426942Z   test_complex_list_sum (jit.test_complex.TestComplex) ... ok (0.003s)
2022-11-23T01:28:41.3427478Z   test_complex_parse (jit.test_complex.TestComplex) ... ok (0.007s)
2022-11-23T01:28:41.3428008Z   test_complexdict (jit.test_complex.TestComplex) ... ok (0.004s)
2022-11-23T01:28:41.3428495Z   test_complexlist (jit.test_complex.TestComplex) ... ok (0.003s)
2022-11-23T01:28:41.3428934Z   test_div (jit.test_complex.TestComplex) ... ok (0.003s)
2022-11-23T01:28:41.3429450Z   test_infj_nanj_pickle (jit.test_complex.TestComplex) ... ok (0.007s)
2022-11-23T01:28:41.3429951Z   test_pickle (jit.test_complex.TestComplex) ... ok (0.007s)
2022-11-23T01:28:41.3430411Z   test_script (jit.test_complex.TestComplex) ... ok (0.003s)
2022-11-23T01:28:41.3430899Z   test_tensor_attributes (jit.test_complex.TestComplex) ... ok (0.007s)
2022-11-23T01:28:41.3431500Z   test_torch_complex_constructor_with_tensor (jit.test_complex.TestComplex) ... ok (0.037s)
2022-11-23T01:28:41.3432149Z   test_calling_scripted_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.003s)
2022-11-23T01:28:41.3432851Z   test_calling_traced_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.005s)
2022-11-23T01:28:41.3435255Z   test_default_arguments_are_used (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:28:41.3435910Z   test_dynamic_op_registry (jit.test_custom_operators.TestCustomOperators) ... ok (0.002s)
2022-11-23T01:28:41.3436542Z   test_generic_list (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:28:41.3437196Z   test_passing_and_returning_lists (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:28:41.3437920Z   test_passing_one_positional_but_not_the_second (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:28:41.3438728Z   test_passing_too_few_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:28:41.3439373Z   test_passing_too_many_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:28:41.3440014Z   test_passing_unknown_kwargs (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:28:41.3440699Z   test_script_graph_contains_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.002s)
2022-11-23T01:28:41.3441575Z   test_script_graph_for_custom_ops_matches_traced_graph (jit.test_custom_operators.TestCustomOperators) ... skip: Need to figure out default dtype differences between fbcode and oss (0.000s)
2022-11-23T01:28:41.3442419Z   test_simply_calling_an_operator (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:28:41.3443086Z   test_where_no_scalar (jit.test_custom_operators.TestCustomOperators) ... ok (0.003s)
2022-11-23T01:28:41.3443721Z   test_setattr_no_aliasdb (jit.test_dce.TestDCE) ... ok (0.005s)
2022-11-23T01:28:41.3444191Z   test_setattr_removed (jit.test_dce.TestDCE) ... ok (0.008s)
2022-11-23T01:28:41.3445033Z   test_python_submodule_script (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s)
2022-11-23T01:28:41.3445932Z   test_shared_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s)
2022-11-23T01:28:41.3446817Z   test_tensor_sharing (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:28:41.3447577Z   test_tensor_sharing_with_forward (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:28:41.3448414Z   test_traced_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s)
2022-11-23T01:28:41.3448989Z   test__post_init__ (jit.test_dataclasses.TestDataclasses) ... ok (3.251s)
2022-11-23T01:28:41.3449544Z   test_comparators (jit.test_dataclasses.TestDataclasses) ... ok (4.699s)
2022-11-23T01:28:41.3450036Z   test_custom__eq__ (jit.test_dataclasses.TestDataclasses) ... ok (0.011s)
2022-11-23T01:28:41.3450593Z   test_default_factories (jit.test_dataclasses.TestDataclasses) ... ok (0.003s)
2022-11-23T01:28:41.3451174Z   test_init_vars (jit.test_dataclasses.TestDataclasses) ... ok (0.080s)
2022-11-23T01:28:41.3451724Z   test_no_source (jit.test_dataclasses.TestDataclasses) ... ok (0.018s)
2022-11-23T01:28:41.3452324Z   test_use_unregistered_dataclass_raises (jit.test_dataclasses.TestDataclasses) ... ok (0.002s)
2022-11-23T01:28:41.3452946Z   test_custom_device_op (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.008s)
2022-11-23T01:28:41.3453540Z   test_device_apply (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.002s)
2022-11-23T01:28:41.3454120Z   test_device_arg (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s)
2022-11-23T01:28:41.3454736Z   test_device_if_propagation (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s)
2022-11-23T01:28:41.3455341Z   test_if_loop_mix (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s)
2022-11-23T01:28:41.3455919Z   test_loop_device_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s)
2022-11-23T01:28:41.3456679Z   test_loop_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s)
2022-11-23T01:28:41.3457263Z   test_mobilenet (jit.test_device_analysis.TestDeviceAnalysis) ... ok (3.476s)
2022-11-23T01:28:41.3457866Z   test_nested_loops (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.007s)
2022-11-23T01:28:41.3458439Z   test_set_dtype (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s)
2022-11-23T01:28:41.3459017Z   test_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.005s)
2022-11-23T01:28:41.3459597Z   test_tensor_as_fns (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.010s)
2022-11-23T01:28:41.3460166Z   test_while_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s)
2022-11-23T01:28:41.3460757Z   test_zerodim_cpu (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.012s)
2022-11-23T01:28:41.3461495Z   test_zerodim_gpu (jit.test_device_analysis.TestDeviceAnalysis) ... skip: No CUDA (0.000s)
2022-11-23T01:28:41.3462112Z   test_zerodim_no_device (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.024s)
2022-11-23T01:28:41.3462643Z   test_aug_assign (jit.test_list_dict.TestDict) ... ok (0.019s)
2022-11-23T01:28:41.3463108Z   test_basic (jit.test_list_dict.TestDict) ... ok (0.023s)
2022-11-23T01:28:41.3463570Z   test_clear (jit.test_list_dict.TestDict) ... ok (0.004s)
2022-11-23T01:28:41.3464003Z   test_copy (jit.test_list_dict.TestDict) ... ok (0.005s)
2022-11-23T01:28:41.3464448Z   test_del (jit.test_list_dict.TestDict) ... ok (0.009s)
2022-11-23T01:28:41.3464934Z   test_dict_bool_conversion (jit.test_list_dict.TestDict) ... ok (0.024s)
2022-11-23T01:28:41.3465429Z   test_dict_preserves_order (jit.test_list_dict.TestDict) ... ok (0.083s)
2022-11-23T01:28:41.3466027Z   test_dict_to_python (jit.test_list_dict.TestDict) ... ok (0.005s)
2022-11-23T01:28:41.3466498Z   test_dict_variance (jit.test_list_dict.TestDict)
2022-11-23T01:28:41.3466968Z `Dict[T1, _]` is not a subtype of `Dict[T2, _]`, even if `T1` is ... ok (0.012s)
2022-11-23T01:28:41.3467411Z   test_get (jit.test_list_dict.TestDict) ... ok (0.009s)
2022-11-23T01:28:41.3467860Z   test_get_boolkey (jit.test_list_dict.TestDict) ... ok (0.010s)
2022-11-23T01:28:41.3468335Z   test_items (jit.test_list_dict.TestDict) ... ok (0.003s)
2022-11-23T01:28:41.3468778Z   test_key_type (jit.test_list_dict.TestDict) ... ok (0.002s)
2022-11-23T01:28:41.3469230Z   test_keys (jit.test_list_dict.TestDict) ... ok (0.005s)
2022-11-23T01:28:41.3469672Z   test_len (jit.test_list_dict.TestDict) ... ok (0.004s)
2022-11-23T01:28:41.3470108Z   test_loop (jit.test_list_dict.TestDict) ... ok (0.003s)
2022-11-23T01:28:41.3470572Z   test_membership (jit.test_list_dict.TestDict) ... ok (0.008s)
2022-11-23T01:28:41.3471051Z   test_mutability (jit.test_list_dict.TestDict) ... ok (0.003s)
2022-11-23T01:28:41.3471566Z   test_optional_dict_construct (jit.test_list_dict.TestDict) ... ok (0.011s)
2022-11-23T01:28:41.3472060Z   test_ordered_dict (jit.test_list_dict.TestDict) ... ok (0.013s)
2022-11-23T01:28:41.3472527Z   test_pop (jit.test_list_dict.TestDict) ... ok (0.011s)
2022-11-23T01:28:41.3472992Z   test_popitem (jit.test_list_dict.TestDict) ... ok (0.003s)
2022-11-23T01:28:41.3473446Z   test_setdefault (jit.test_list_dict.TestDict) ... ok (0.008s)
2022-11-23T01:28:41.3474051Z   test_type_annotation_missing_contained_type (jit.test_list_dict.TestDict)
2022-11-23T01:28:41.3474602Z Test that the use of a Dict type annotation without contained ... ok (0.002s)
2022-11-23T01:28:41.3475095Z   test_update (jit.test_list_dict.TestDict) ... ok (0.011s)
2022-11-23T01:28:41.3475576Z   test_update_existing_key (jit.test_list_dict.TestDict) ... ok (0.005s)
2022-11-23T01:28:41.3476064Z   test_values (jit.test_list_dict.TestDict) ... ok (0.003s)
2022-11-23T01:28:41.3476518Z   test_view (jit.test_list_dict.TestDict) ... ok (0.064s)
2022-11-23T01:28:41.3477019Z   test_binary_scalar (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.009s)
2022-11-23T01:28:41.3478493Z   test_binary_tensors (jit.test_dtype_analysis.TestDtypeAnalysis) ... /var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py:165: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:28:41.3479479Z   rand_tensor = torch.rand(shape, dtype=dtype)
2022-11-23T01:28:41.3479833Z ok (0.078s)
2022-11-23T01:28:41.3480249Z   test_combined (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.008s)
2022-11-23T01:28:41.3480848Z   test_conv_no_mixed_args (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.015s)
2022-11-23T01:28:41.3481441Z   test_custom_rules (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.016s)
2022-11-23T01:28:41.3482016Z   test_unary (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.035s)
2022-11-23T01:28:41.3482613Z   test_closed_over_enum_constant (jit.test_enum.TestEnum) ... ok (0.010s)
2022-11-23T01:28:41.3483101Z   test_enum_as_const (jit.test_enum.TestEnum) ... ok (0.008s)
2022-11-23T01:28:41.3483587Z   test_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.009s)
2022-11-23T01:28:41.3484055Z   test_enum_comp (jit.test_enum.TestEnum) ... ok (0.007s)
2022-11-23T01:28:41.3484544Z   test_enum_comp_diff_classes (jit.test_enum.TestEnum) ... ok (0.011s)
2022-11-23T01:28:41.3485052Z   test_enum_explicit_script (jit.test_enum.TestEnum) ... ok (0.001s)
2022-11-23T01:28:41.3485520Z   test_enum_iterate (jit.test_enum.TestEnum) ... ok (0.011s)
2022-11-23T01:28:41.3485991Z   test_enum_ivalue_type (jit.test_enum.TestEnum) ... ok (0.008s)
2022-11-23T01:28:41.3486473Z   test_enum_module_return (jit.test_enum.TestEnum) ... ok (0.010s)
2022-11-23T01:28:41.3486942Z   test_enum_name (jit.test_enum.TestEnum) ... ok (0.007s)
2022-11-23T01:28:41.3487414Z   test_enum_return (jit.test_enum.TestEnum) ... ok (0.009s)
2022-11-23T01:28:41.3487856Z   test_enum_value (jit.test_enum.TestEnum) ... ok (0.007s)
2022-11-23T01:28:41.3488270Z   test_enum_value_types (jit.test_enum.TestEnum) ... ok (0.024s)
2022-11-23T01:28:41.3488718Z   test_heterogenous_value_type_enum_error (jit.test_enum.TestEnum) ... ok (0.005s)
2022-11-23T01:28:41.3489200Z   test_non_existent_enum_value (jit.test_enum.TestEnum) ... ok (0.006s)
2022-11-23T01:28:41.3489671Z   test_string_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.009s)
2022-11-23T01:28:41.3490210Z   test_freeze_interface_swapping_two_methods (jit.test_freezing.TestFreezing) ... ok (0.069s)
2022-11-23T01:28:41.3490799Z   test_freeze_interface_within_object (jit.test_freezing.TestFreezing) ... expected failure (0.155s)
2022-11-23T01:28:41.3491348Z   test_freeze_module (jit.test_freezing.TestFreezing) ... ok (0.014s)
2022-11-23T01:28:41.3491873Z   test_freeze_module_detach_gradient (jit.test_freezing.TestFreezing) ... ok (0.014s)
2022-11-23T01:28:41.3492436Z   test_freeze_module_in_training_mode (jit.test_freezing.TestFreezing) ... ok (0.238s)
2022-11-23T01:28:41.3492996Z   test_freeze_module_inlining (jit.test_freezing.TestFreezing) ... ok (0.038s)
2022-11-23T01:28:41.3493539Z   test_freeze_module_no_forward (jit.test_freezing.TestFreezing) ... ok (0.010s)
2022-11-23T01:28:41.3494064Z   test_freeze_module_return_self (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3494645Z   test_freeze_module_return_sub_module (jit.test_freezing.TestFreezing) ... ok (0.013s)
2022-11-23T01:28:41.3495252Z   test_freeze_module_with_aliased_attr (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3495859Z   test_freeze_module_with_aliased_attr2 (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3496591Z   test_freeze_module_with_aliased_attr3 (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3497220Z   test_freeze_module_with_aliased_tensor_attr (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3497813Z   test_freeze_module_with_aliased_tensor_attr2 (jit.test_freezing.TestFreezing) ... ok (0.009s)
2022-11-23T01:28:41.3498399Z   test_freeze_module_with_aliased_tensor_attr3 (jit.test_freezing.TestFreezing) ... ok (0.007s)
2022-11-23T01:28:41.3498907Z   test_freeze_module_with_aliased_tensor_attr4 (jit.test_freezing.TestFreezing) ... ok (0.009s)
2022-11-23T01:28:41.3499444Z   test_freeze_module_with_call_method (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3500012Z   test_freeze_module_with_fork (jit.test_freezing.TestFreezing) ... ok (0.011s)
2022-11-23T01:28:41.3500546Z   test_freeze_module_with_fork2 (jit.test_freezing.TestFreezing) ... ok (0.009s)
2022-11-23T01:28:41.3501178Z   test_freeze_module_with_fork_calling_module_method (jit.test_freezing.TestFreezing) ... ok (0.011s)
2022-11-23T01:28:41.3501834Z   test_freeze_module_with_helperfunction (jit.test_freezing.TestFreezing) ... ok (0.010s)
2022-11-23T01:28:41.3502463Z   test_freeze_module_with_inplace_mutable (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3503188Z   test_freeze_module_with_list (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3503790Z   test_freeze_module_with_mutable_dict (jit.test_freezing.TestFreezing) ... ok (0.007s)
2022-11-23T01:28:41.3504398Z   test_freeze_module_with_mutable_list (jit.test_freezing.TestFreezing) ... ok (0.004s)
2022-11-23T01:28:41.3505009Z   test_freeze_module_with_mutable_tensor (jit.test_freezing.TestFreezing) ... ok (0.005s)
2022-11-23T01:28:41.3505604Z   test_freeze_module_with_nested_fork (jit.test_freezing.TestFreezing) ... ok (0.020s)
2022-11-23T01:28:41.3506221Z   test_freeze_module_with_nestedaliasing (jit.test_freezing.TestFreezing) ... ok (0.022s)
2022-11-23T01:28:41.3506872Z   test_freeze_module_with_nestedaliasingscalar (jit.test_freezing.TestFreezing) ... ok (0.018s)
2022-11-23T01:28:41.3507522Z   test_freeze_module_with_non_static_module_container_index (jit.test_freezing.TestFreezing)
2022-11-23T01:28:41.3508385Z Test that Modules containing non-static ModuleDict or ModuleList ... ok (0.070s)
2022-11-23T01:28:41.3509011Z   test_freeze_module_with_overlapping_attrs (jit.test_freezing.TestFreezing) ... ok (0.010s)
2022-11-23T01:28:41.3509657Z   test_freeze_module_with_preserve_sub_module (jit.test_freezing.TestFreezing) ... ok (0.011s)
2022-11-23T01:28:41.3510310Z   test_freeze_module_with_preserve_sub_module_and_mutation (jit.test_freezing.TestFreezing) ... ok (0.013s)
2022-11-23T01:28:41.3510980Z   test_freeze_module_with_sharedclasstype (jit.test_freezing.TestFreezing) ... ok (0.022s)
2022-11-23T01:28:41.3511600Z   test_freeze_module_with_submodule (jit.test_freezing.TestFreezing) ... ok (0.014s)
2022-11-23T01:28:41.3512172Z   test_freeze_module_with_tensor (jit.test_freezing.TestFreezing) ... ok (0.007s)
2022-11-23T01:28:41.3512755Z   test_freeze_module_with_tuple (jit.test_freezing.TestFreezing) ... ok (0.007s)
2022-11-23T01:28:41.3513382Z   test_freeze_module_with_tupleoutput_submodule (jit.test_freezing.TestFreezing) ... ok (0.009s)
2022-11-23T01:28:41.3514126Z   test_freeze_module_with_user_preserved_attr (jit.test_freezing.TestFreezing) ... ok (0.005s)
2022-11-23T01:28:41.3514792Z   test_freeze_module_with_user_preserved_attribute_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.010s)
2022-11-23T01:28:41.3515518Z   test_freeze_module_with_user_preserved_attribute_on_unused_submodule (jit.test_freezing.TestFreezing) ... ok (0.008s)
2022-11-23T01:28:41.3516209Z   test_freeze_module_with_user_preserved_method (jit.test_freezing.TestFreezing) ... ok (0.008s)
2022-11-23T01:28:41.3516850Z   test_freeze_module_with_user_preserved_method2 (jit.test_freezing.TestFreezing) ... ok (0.006s)
2022-11-23T01:28:41.3517519Z   test_freeze_module_with_user_preserved_method_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.010s)
2022-11-23T01:28:41.3518145Z   test_freeze_no_forward (jit.test_freezing.TestFreezing) ... ok (0.010s)
2022-11-23T01:28:41.3518737Z   test_freeze_non_interface_module_swap (jit.test_freezing.TestFreezing) ... ok (0.014s)
2022-11-23T01:28:41.3519331Z   test_freeze_non_module_class_getattr (jit.test_freezing.TestFreezing) ... ok (0.152s)
2022-11-23T01:28:41.3519940Z   test_freeze_recursive_interfaces (jit.test_freezing.TestFreezing) ... ok (0.085s)
2022-11-23T01:28:41.3520565Z   test_freeze_recursive_interfaces_same_name (jit.test_freezing.TestFreezing) ... ok (0.199s)
2022-11-23T01:28:41.3521216Z   test_freeze_recursive_interfaces_with_reassignment (jit.test_freezing.TestFreezing) ... ok (0.217s)
2022-11-23T01:28:41.3521841Z   test_freeze_with_interface_mutable (jit.test_freezing.TestFreezing) ... ok (0.046s)
2022-11-23T01:28:41.3522444Z   test_freeze_with_swapping_interfaces (jit.test_freezing.TestFreezing) ... ok (0.055s)
2022-11-23T01:28:41.3523054Z   test_module_getattr_indirection (jit.test_freezing.TestFreezing) ... ok (0.166s)
2022-11-23T01:28:41.3523643Z   test_module_with_shared_type_instances (jit.test_freezing.TestFreezing) ... ok (0.088s)
2022-11-23T01:28:41.3524254Z   test_dictionary_as_example_inputs_for_jit_trace (__main__.TestFrontend) ... ok (0.073s)
2022-11-23T01:28:41.3524856Z   test_instancing_error (__main__.TestFrontend) ... ok (0.274s)
2022-11-23T01:28:41.3525440Z   test_collapse_adjacent_conversions (jit.test_freezing.TestFrozenOptimizations) ... ok (0.015s)
2022-11-23T01:28:41.3526100Z   test_conv_add_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (1.376s)
2022-11-23T01:28:41.3526751Z   test_conv_bn_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.354s)
2022-11-23T01:28:41.3527536Z   test_conv_bn_folding_autocast_scenario_cuda (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s)
2022-11-23T01:28:41.3528326Z   test_conv_bn_folding_not_forward (jit.test_freezing.TestFrozenOptimizations) ... ok (0.011s)
2022-11-23T01:28:41.3528974Z   test_conv_hardswish (jit.test_freezing.TestFrozenOptimizations) ... ok (3.185s)
2022-11-23T01:28:41.3529668Z   test_conv_mul_add_bn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.060s)
2022-11-23T01:28:41.3530310Z   test_conv_to_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.038s)
2022-11-23T01:28:41.3530984Z   test_conv_to_mkldnn_no_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... skip: Testing no mkldnn (0.001s)
2022-11-23T01:28:41.3531730Z   test_freeze_conv_relu_fusion (jit.test_freezing.TestFrozenOptimizations) ... skip: requires CUDNN (0.001s)
2022-11-23T01:28:41.3532479Z   test_freeze_conv_relu_fusion_not_forward (jit.test_freezing.TestFrozenOptimizations) ... skip: requires CUDNN (0.001s)
2022-11-23T01:28:41.3533169Z   test_freeze_mkdlnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.006s)
2022-11-23T01:28:41.3533801Z   test_freeze_remove_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.005s)
2022-11-23T01:28:41.3534470Z   test_freeze_remove_feature_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.006s)
2022-11-23T01:28:41.3535096Z   test_hardswish_hardsigmoid (jit.test_freezing.TestFrozenOptimizations) ... ok (0.008s)
2022-11-23T01:28:41.3535706Z   test_incompatible_perf_formats (jit.test_freezing.TestFrozenOptimizations) ... ok (0.191s)
2022-11-23T01:28:41.3536590Z   test_linear_concat (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s)
2022-11-23T01:28:41.3537212Z   test_linear_concat_complex (jit.test_freezing.TestFrozenOptimizations)
2022-11-23T01:28:41.3537897Z Testing that the interleaving of multiple optimizations does not ... skip: Optimization currently only run for GPU (0.001s)
2022-11-23T01:28:41.3538584Z   test_linear_concat_different_input (jit.test_freezing.TestFrozenOptimizations)
2022-11-23T01:28:41.3539306Z There should be no change to the graph due to the optimization pass ... skip: Optimization currently only run for GPU (0.001s)
2022-11-23T01:28:41.3540098Z   test_linear_multiple_blocks (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s)
2022-11-23T01:28:41.3540875Z   test_linear_non_constant_weight (jit.test_freezing.TestFrozenOptimizations) ... ok (0.004s)
2022-11-23T01:28:41.3541530Z   test_linear_transpose (jit.test_freezing.TestFrozenOptimizations) ... ok (0.004s)
2022-11-23T01:28:41.3542174Z   test_maxpool_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.327s)
2022-11-23T01:28:41.3542843Z   test_mkldnn_fuser_broadcasting (jit.test_freezing.TestFrozenOptimizations) ... ok (0.025s)
2022-11-23T01:28:41.3543500Z   test_mkldnn_inplace_removal (jit.test_freezing.TestFrozenOptimizations) ... ok (0.012s)
2022-11-23T01:28:41.3544185Z   test_numel_less_than_size_with_padding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.016s)
2022-11-23T01:28:41.3544873Z   test_optimize_freeze_module (jit.test_freezing.TestFrozenOptimizations) ... ok (0.019s)
2022-11-23T01:28:41.3545531Z   test_pool2d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (0.453s)
2022-11-23T01:28:41.3546175Z   test_pool3d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (1.181s)
2022-11-23T01:28:41.3546835Z   test_remove_detach (jit.test_freezing.TestFrozenOptimizations) ... ok (0.004s)
2022-11-23T01:28:41.3547588Z   test_remove_detach_not_applied (jit.test_freezing.TestFrozenOptimizations) ... ok (0.003s)
2022-11-23T01:28:41.3548250Z   test_scalar_mul (jit.test_freezing.TestFrozenOptimizations) ... ok (0.050s)
2022-11-23T01:28:41.3548876Z   test_subgraph_creation (jit.test_functional_blocks.TestFunctionalBlocks) ... ok (0.054s)
2022-11-23T01:28:41.3549602Z   test_check_no_type_promotion (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.228s)
2022-11-23T01:28:41.3550418Z   test_functional_to_inplace_activation (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.057s)
2022-11-23T01:28:41.3551226Z   test_no_functional_to_inplace (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.009s)
2022-11-23T01:28:41.3552013Z   test_resnet18_correctness (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (4.774s)
2022-11-23T01:28:41.3552789Z   test_getattr_with_default (jit.test_attr.TestGetDefaultAttr) ... ok (0.006s)
2022-11-23T01:28:41.3553412Z   test_fuse_linear (jit.test_graph_rewrite_passes.TestGraphRewritePasses) ... ok (0.038s)
2022-11-23T01:28:41.3554043Z   test_hash_bool (jit.test_hash.TestHash) ... ok (0.007s)
2022-11-23T01:28:41.3554458Z   test_hash_device (jit.test_hash.TestHash) ... ok (0.006s)
2022-11-23T01:28:41.3554879Z   test_hash_float (jit.test_hash.TestHash) ... ok (0.008s)
2022-11-23T01:28:41.3555268Z   test_hash_int (jit.test_hash.TestHash) ... ok (0.007s)
2022-11-23T01:28:41.3555701Z   test_hash_none (jit.test_hash.TestHash) ... ok (0.003s)
2022-11-23T01:28:41.3556126Z   test_hash_string (jit.test_hash.TestHash) ... ok (0.005s)
2022-11-23T01:28:41.3556579Z   test_hash_tensor (jit.test_hash.TestHash)
2022-11-23T01:28:41.3557003Z Tensors should hash by identity ... ok (0.005s)
2022-11-23T01:28:41.3557460Z   test_hash_tuple (jit.test_hash.TestHash) ... ok (0.006s)
2022-11-23T01:28:41.3557997Z   test_hash_tuple_nested_unhashable_type (jit.test_hash.TestHash) ... ok (0.003s)
2022-11-23T01:28:41.3558543Z   test_forward_tuple_input (jit.test_hooks.TestHooks) ... ok (0.016s)
2022-11-23T01:28:41.3559089Z   test_hook_compilation_hint (jit.test_hooks.TestHooks) ... skip:  (0.000s)
2022-11-23T01:28:41.3559639Z   test_hook_hook_name_collision (jit.test_hooks.TestHooks) ... ok (0.008s)
2022-11-23T01:28:41.3560174Z   test_hook_method_name_collision (jit.test_hooks.TestHooks) ... ok (0.007s)
2022-11-23T01:28:41.3560751Z   test_module_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok (0.012s)
2022-11-23T01:28:41.3561331Z   test_module_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.022s)
2022-11-23T01:28:41.3561855Z   test_module_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.019s)
2022-11-23T01:28:41.3562377Z   test_module_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.018s)
2022-11-23T01:28:41.3562952Z   test_module_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.030s)
2022-11-23T01:28:41.3563542Z   test_module_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.027s)
2022-11-23T01:28:41.3564102Z   test_module_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.015s)
2022-11-23T01:28:41.3564646Z   test_module_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.020s)
2022-11-23T01:28:41.3565219Z   test_submodule_called_directly_with_hooks (jit.test_hooks.TestHooks) ... ok (0.014s)
2022-11-23T01:28:41.3565809Z   test_submodule_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok (0.019s)
2022-11-23T01:28:41.3566376Z   test_submodule_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.023s)
2022-11-23T01:28:41.3566957Z   test_submodule_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.020s)
2022-11-23T01:28:41.3567574Z   test_submodule_forward_single_input_return_not_tupled (jit.test_hooks.TestHooks) ... ok (0.020s)
2022-11-23T01:28:41.3568173Z   test_submodule_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.020s)
2022-11-23T01:28:41.3568759Z   test_submodule_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.033s)
2022-11-23T01:28:41.3569447Z   test_submodule_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.029s)
2022-11-23T01:28:41.3570029Z   test_submodule_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.016s)
2022-11-23T01:28:41.3570563Z   test_submodule_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.022s)
2022-11-23T01:28:41.3571078Z   test_wrong_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.036s)
2022-11-23T01:28:41.3571590Z   test_wrong_pre_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.042s)
2022-11-23T01:28:41.3572161Z   test_add_out_ignorable_args (jit.test_ignorable_args.TestIgnorableArgs) ... ok (0.003s)
2022-11-23T01:28:41.3572796Z   test_slice_ignorable_args_for_slice (jit.test_ignorable_args.TestIgnorableArgs) ... ok (0.004s)
2022-11-23T01:28:41.3573475Z   test_with_ignore_context_manager_with_inp_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.013s)
2022-11-23T01:28:41.3574355Z   test_with_ignore_context_manager_with_just_inp (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.004s)
2022-11-23T01:28:41.3575127Z   test_with_ignore_context_manager_with_just_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.005s)
2022-11-23T01:28:41.3575954Z   test_inplace_to_functional_activation (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (0.039s)
2022-11-23T01:28:41.3576935Z   test_resnet18_correctness (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (4.837s)
2022-11-23T01:28:41.3577614Z   test_bool (jit.test_isinstance.TestIsinstance) ... ok (0.020s)
2022-11-23T01:28:41.3578097Z   test_dict (jit.test_isinstance.TestIsinstance) ... ok (0.006s)
2022-11-23T01:28:41.3578617Z   test_dict_nested (jit.test_isinstance.TestIsinstance) ... ok (0.006s)
2022-11-23T01:28:41.3579143Z   test_dict_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s)
2022-11-23T01:28:41.3579692Z   test_dict_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.005s)
2022-11-23T01:28:41.3580306Z   test_empty_container_special_cases (jit.test_isinstance.TestIsinstance) ... ok (0.001s)
2022-11-23T01:28:41.3580941Z   test_empty_container_throws_warning_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.001s)
2022-11-23T01:28:41.3581532Z   test_float (jit.test_isinstance.TestIsinstance) ... ok (0.004s)
2022-11-23T01:28:41.3582049Z   test_if_else (jit.test_isinstance.TestIsinstance) ... ok (0.004s)
2022-11-23T01:28:41.3582584Z   test_in_if (jit.test_isinstance.TestIsinstance) ... ok (0.005s)
2022-11-23T01:28:41.3583138Z   test_in_while_loop (jit.test_isinstance.TestIsinstance) ... ok (0.007s)
2022-11-23T01:28:41.3583676Z   test_int (jit.test_isinstance.TestIsinstance) ... ok (0.004s)
2022-11-23T01:28:41.3584183Z   test_list (jit.test_isinstance.TestIsinstance) ... ok (0.005s)
2022-11-23T01:28:41.3584716Z   test_list_nested (jit.test_isinstance.TestIsinstance) ... ok (0.005s)
2022-11-23T01:28:41.3585278Z   test_list_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s)
2022-11-23T01:28:41.3585853Z   test_list_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.005s)
2022-11-23T01:28:41.3586423Z   test_list_tensor_type_true (jit.test_isinstance.TestIsinstance) ... ok (0.004s)
2022-11-23T01:28:41.3587066Z   test_nontuple_container_rhs_throws_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.001s)
2022-11-23T01:28:41.3587669Z   test_optional (jit.test_isinstance.TestIsinstance) ... ok (0.006s)
2022-11-23T01:28:41.3588241Z   test_optional_nested (jit.test_isinstance.TestIsinstance) ... ok (0.004s)
2022-11-23T01:28:41.3588851Z   test_optional_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s)
2022-11-23T01:28:41.3589464Z   test_optional_none (jit.test_isinstance.TestIsinstance) ... ok (0.004s)
2022-11-23T01:28:41.3590023Z   test_tensor_type_false (jit.test_isinstance.TestIsinstance) ... ok (0.004s)
2022-11-23T01:28:41.3590603Z   test_tuple (jit.test_isinstance.TestIsinstance) ... ok (0.006s)
2022-11-23T01:28:41.3591278Z   test_tuple_nested (jit.test_isinstance.TestIsinstance) ... ok (0.007s)
2022-11-23T01:28:41.3591853Z   test_tuple_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s)
2022-11-23T01:28:41.3592425Z   test_tuple_rhs (jit.test_isinstance.TestIsinstance) ... ok (0.007s)
2022-11-23T01:28:41.3592974Z   test_tuple_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.004s)
2022-11-23T01:28:41.3593520Z   test_type_refinement (jit.test_isinstance.TestIsinstance) ... ok (0.015s)
2022-11-23T01:28:41.3594110Z   test_ModuleList (__main__.TestJit) ... ok (0.052s)
2022-11-23T01:28:41.3594552Z   test_Sequential (__main__.TestJit) ... ok (0.022s)
2022-11-23T01:28:41.3594983Z   test_T_mT_H_mH (__main__.TestJit) ... ok (0.019s)
2022-11-23T01:28:41.3595409Z   test_add_relu_fusion (__main__.TestJit) ... ok (0.025s)
2022-11-23T01:28:41.3595931Z   test_arg_configurations (__main__.TestJit)
2022-11-23T01:28:41.3596535Z Different arg configurations should trigger different traces ... skip: Need to be adjusted to Graph Executor (0.001s)
2022-11-23T01:28:41.3597103Z   test_attrs (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3597523Z   test_batchnorm (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3597981Z   test_big (__main__.TestJit) ... skip: Requires a lot of RAM (0.001s)
2022-11-23T01:28:41.3598375Z   test_conj_transpose (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3598817Z   test_constant_insertion (__main__.TestJit) ... ok (4.498s)
2022-11-23T01:28:41.3599281Z   test_constant_prop_aliasing_type (__main__.TestJit) ... ok (0.006s)
2022-11-23T01:28:41.3599801Z   test_constant_prop_exception (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3600289Z   test_constant_prop_if_constant (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3600774Z   test_constant_prop_if_inline (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3601297Z   test_constant_prop_loop_constant (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3601779Z   test_constant_prop_nested (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3602236Z   test_constant_prop_none (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3602714Z   test_constant_prop_print (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3603181Z   test_constant_prop_rand (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3603664Z   test_constant_prop_remove_output (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3604150Z   test_constant_prop_simple (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3604592Z   test_constants_pkl (__main__.TestJit) ... ok (0.002s)
2022-11-23T01:28:41.3604994Z   test_cpp (__main__.TestJit) ... ok (0.021s)
2022-11-23T01:28:41.3605384Z   test_cse (__main__.TestJit) ... ok (0.007s)
2022-11-23T01:28:41.3605825Z   test_cse_not_introduce_aliasing (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3606283Z   test_cu_escaped_number (__main__.TestJit) ... ok (0.002s)
2022-11-23T01:28:41.3606798Z   test_cuda_export_restore (__main__.TestJit) ... skip: requires CUDA (0.001s)
2022-11-23T01:28:41.3607346Z   test_debug_flush_compilation_cache (__main__.TestJit) ... ok (0.013s)
2022-11-23T01:28:41.3607821Z   test_decompose_addmm (__main__.TestJit) ... ok (0.036s)
2022-11-23T01:28:41.3608307Z   test_device_not_equal (__main__.TestJit) ... skip: requires CUDA (0.001s)
2022-11-23T01:28:41.3608815Z   test_diff_subgraph_clones_constants (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3609264Z   test_disabled (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3609661Z   test_dropout (__main__.TestJit) ... ok (0.002s)
2022-11-23T01:28:41.3610164Z   test_dropout_cuda (__main__.TestJit) ... skip: test_dropout_cuda require CUDA (0.001s)
2022-11-23T01:28:41.3611154Z   test_dropout_func_requires_grad (__main__.TestJit) ... STAGE:2022-11-23 01:27:10 11111:11111 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:28:41.3612041Z STAGE:2022-11-23 01:27:10 11111:11111 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:28:41.3612935Z STAGE:2022-11-23 01:27:10 11111:11111 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:28:41.3613755Z STAGE:2022-11-23 01:27:10 11111:11111 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:28:41.3614562Z STAGE:2022-11-23 01:27:10 11111:11111 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:28:41.3615347Z STAGE:2022-11-23 01:27:10 11111:11111 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:28:41.3616159Z STAGE:2022-11-23 01:27:11 11111:11111 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:28:41.3617126Z STAGE:2022-11-23 01:27:11 11111:11111 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:28:41.3617949Z STAGE:2022-11-23 01:27:11 11111:11111 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:28:41.3618855Z STAGE:2022-11-23 01:27:11 11111:11111 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:28:41.3619665Z STAGE:2022-11-23 01:27:11 11111:11111 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:28:41.3620498Z STAGE:2022-11-23 01:27:11 11111:11111 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:28:41.3620969Z ok (0.105s)
2022-11-23T01:28:41.3621458Z   test_dropout_module_requires_grad (__main__.TestJit) ... skip: Testing differentiable graph (0.002s)
2022-11-23T01:28:41.3621994Z   test_einsum (__main__.TestJit) ... ok (0.025s)
2022-11-23T01:28:41.3622421Z   test_element_size (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3622811Z   test_expand_fold_quant_inputs (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3623293Z   test_expand_quantlint (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3623877Z   test_export_batchnorm (__main__.TestJit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:41.3624448Z   test_export_dropout (__main__.TestJit) ... ok (0.006s)
2022-11-23T01:28:41.3624895Z   test_export_lstm (__main__.TestJit) ... ok (0.039s)
2022-11-23T01:28:41.3625348Z   test_export_opnames (__main__.TestJit) ... ok (0.015s)
2022-11-23T01:28:41.3625759Z   test_export_rnn (__main__.TestJit) ... ok (0.077s)
2022-11-23T01:28:41.3626264Z   test_flags (__main__.TestJit) ... skip: Need to instrument GraphExecutors a bit more (0.001s)
2022-11-23T01:28:41.3626792Z   test_function_default_values (__main__.TestJit) ... ok (0.038s)
2022-11-23T01:28:41.3627291Z   test_hide_source_ranges_context_manager (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3627753Z   test_import_method (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3628197Z   test_inferred_as_tensor (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3628628Z   test_layout (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3629036Z   test_matrix_conj_transpose (__main__.TestJit) ... ok (0.006s)
2022-11-23T01:28:41.3629517Z   test_matrix_transpose (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3629970Z   test_module_default_values (__main__.TestJit) ... ok (0.007s)
2022-11-23T01:28:41.3630451Z   test_mutable_default_values (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3630968Z   test_native_dropout_corner_case (__main__.TestJit) ... skip: test requires CUDA (0.001s)
2022-11-23T01:28:41.3631468Z   test_nn_conv (__main__.TestJit) ... ok (0.247s)
2022-11-23T01:28:41.3631868Z   test_nn_lp_pool1d (__main__.TestJit) ... ok (0.104s)
2022-11-23T01:28:41.3632292Z   test_nn_lp_pool2d (__main__.TestJit) ... ok (0.142s)
2022-11-23T01:28:41.3632718Z   test_nn_padding (__main__.TestJit) ... ok (0.283s)
2022-11-23T01:28:41.3633130Z   test_nn_padding_functional (__main__.TestJit) ... ok (0.023s)
2022-11-23T01:28:41.3633594Z   test_no_erroneous_warnings (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3634269Z   test_non_ascii_string (__main__.TestJit) ... skip: temporarily disable the test for fwd compatibility (0.001s)
2022-11-23T01:28:41.3634803Z   test_numel (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3635377Z   test_pattern_based_module_rewrite (__main__.TestJit) ... ok (0.027s)
2022-11-23T01:28:41.3635855Z   test_pattern_based_rewrite (__main__.TestJit) ... ok (0.002s)
2022-11-23T01:28:41.3636398Z   test_pattern_based_rewrite_with_source_range_preserved (__main__.TestJit) ... ok (0.018s)
2022-11-23T01:28:41.3637260Z   test_peephole_optimize_shape_ops (__main__.TestJit) ... skip: Simple executor doesn't have shape information (0.002s)
2022-11-23T01:28:41.3637827Z   test_permute_inputs_binding (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3638284Z   test_pretty_printer (__main__.TestJit) ... ok (0.026s)
2022-11-23T01:28:41.3638755Z   test_print_classes_module (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3639208Z   test_print_op_module (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3639657Z   test_print_torch_ops_modules (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3641223Z   test_profiler (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/65521 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:28:41.3642138Z   test_python_bindings (__main__.TestJit) ... ok (0.226s)
2022-11-23T01:28:41.3642573Z   test_python_ir (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3642993Z   test_python_ir_utils (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3644511Z   test_python_ir_utils_graph (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73473 for platform(s) macos, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:28:41.3645504Z   test_python_ivalue (__main__.TestJit) ... ok (0.002s)
2022-11-23T01:28:41.3645969Z   test_pytorch_jit_env_off (__main__.TestJit) ... ok (1.472s)
2022-11-23T01:28:41.3646407Z   test_recursive_cse (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3646876Z   test_repeat_interleave_script (__main__.TestJit) ... ok (0.005s)
2022-11-23T01:28:41.3647351Z   test_restore_device (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3647876Z   test_restore_device_cuda (__main__.TestJit) ... skip: restore device requires CUDA (0.001s)
2022-11-23T01:28:41.3648529Z   test_restore_shared_storage_on_cuda (__main__.TestJit) ... skip: restore device requires CUDA (0.001s)
2022-11-23T01:28:41.3649027Z   test_script_autograd_grad (__main__.TestJit) ... ok (0.360s)
2022-11-23T01:28:41.3649481Z   test_script_backward (__main__.TestJit) ... ok (0.012s)
2022-11-23T01:28:41.3650590Z   test_script_backward_twice (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_script.py:1243: UserWarning: `optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead
2022-11-23T01:28:41.3651296Z   warnings.warn(
2022-11-23T01:28:41.3651613Z ok (0.015s)
2022-11-23T01:28:41.3651971Z   test_script_fn_pkl (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3652428Z   test_script_tensor_type (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3652924Z   test_shape_analysis_broadcast (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3653421Z   test_shape_analysis_masked_select (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3653947Z   test_shape_analysis_unsqueeze_in_loop (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3654462Z   test_sparse_csr_tensors (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3654914Z   test_sparse_tensors (__main__.TestJit) ... ok (0.032s)
2022-11-23T01:28:41.3657064Z   test_torch_complex (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: An output with one or more elements was resized since it had shape [3, 4], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:28:41.3658158Z   return callable(*args, **kwargs)
2022-11-23T01:28:41.3659844Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: An output with one or more elements was resized since it had shape [5, 2], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:28:41.3661121Z   return callable(*args, **kwargs)
2022-11-23T01:28:41.3661445Z ok (0.027s)
2022-11-23T01:28:41.3662120Z   test_torch_load_error (__main__.TestJit) ... skip: TODO: re-enable with https://github.com/pytorch/pytorch/pull/29339 (0.001s)
2022-11-23T01:28:41.3662621Z   test_torch_load_zipfile_check (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3663051Z   test_torch_ops_kwonly (__main__.TestJit) ... ok (0.003s)
2022-11-23T01:28:41.3663483Z   test_torch_ops_overloaded (__main__.TestJit) ... ok (0.002s)
2022-11-23T01:28:41.3663897Z   test_torch_sum (__main__.TestJit) ... ok (0.010s)
2022-11-23T01:28:41.3664300Z   test_trace_retains_train (__main__.TestJit) ... ok (0.006s)
2022-11-23T01:28:41.3664718Z   test_train_eval (__main__.TestJit) ... ok (0.042s)
2022-11-23T01:28:41.3665120Z   test_transpose (__main__.TestJit) ... ok (0.004s)
2022-11-23T01:28:41.3665530Z   test_unchecked_cast (__main__.TestJit) ... ok (0.011s)
2022-11-23T01:28:41.3665974Z   test_unique_state_dict (__main__.TestJit) ... ok (0.001s)
2022-11-23T01:28:41.3666521Z   test_verify (__main__.TestJit) ... skip: verify needs to be updated to work with GraphExecutors (0.001s)
2022-11-23T01:28:41.3667021Z   test_warnings (__main__.TestJit) ... ok (0.009s)
2022-11-23T01:28:41.3667509Z   test_nn_AdaptiveAvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3668096Z   test_nn_AdaptiveAvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3668692Z   test_nn_AdaptiveAvgPool1d_one_output (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3669283Z   test_nn_AdaptiveAvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.041s)
2022-11-23T01:28:41.3669870Z   test_nn_AdaptiveAvgPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.041s)
2022-11-23T01:28:41.3670473Z   test_nn_AdaptiveAvgPool2d_single_1x1output (__main__.TestJitGeneratedModule) ... ok (0.041s)
2022-11-23T01:28:41.3671057Z   test_nn_AdaptiveAvgPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.041s)
2022-11-23T01:28:41.3671666Z   test_nn_AdaptiveAvgPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3672260Z   test_nn_AdaptiveAvgPool3d_last_dim (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3672878Z   test_nn_AdaptiveAvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3673467Z   test_nn_AdaptiveAvgPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.041s)
2022-11-23T01:28:41.3674145Z   test_nn_AdaptiveAvgPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.042s)
2022-11-23T01:28:41.3674719Z   test_nn_AdaptiveAvgPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3675276Z   test_nn_AdaptiveMaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3675828Z   test_nn_AdaptiveMaxPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.042s)
2022-11-23T01:28:41.3676431Z   test_nn_AdaptiveMaxPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T01:28:41.3677138Z   test_nn_AdaptiveMaxPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.048s)
2022-11-23T01:28:41.3677704Z   test_nn_AdaptiveMaxPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3678289Z   test_nn_AdaptiveMaxPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3678902Z   test_nn_AdaptiveMaxPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3679479Z   test_nn_AdaptiveMaxPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.046s)
2022-11-23T01:28:41.3680055Z   test_nn_AdaptiveMaxPool3d_single_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.046s)
2022-11-23T01:28:41.3680649Z   test_nn_AdaptiveMaxPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3681228Z   test_nn_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3681933Z   test_nn_AdaptiveMaxPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3682500Z   test_nn_AvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3683044Z   test_nn_AvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3683611Z   test_nn_AvgPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3684145Z   test_nn_AvgPool1d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3684663Z   test_nn_AvgPool2d (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3685188Z   test_nn_AvgPool2d_divisor (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3685734Z   test_nn_AvgPool2d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3686291Z   test_nn_AvgPool2d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3686863Z   test_nn_AvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3687410Z   test_nn_AvgPool2d_stride (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3687966Z   test_nn_AvgPool2d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3688487Z   test_nn_AvgPool3d (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3689018Z   test_nn_AvgPool3d_divisor (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3689576Z   test_nn_AvgPool3d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3690167Z   test_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3690740Z   test_nn_AvgPool3d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3691345Z   test_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3692001Z   test_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3692635Z   test_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3693218Z   test_nn_AvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3693735Z   test_nn_AvgPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3694297Z   test_nn_AvgPool3d_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3694896Z   test_nn_AvgPool3d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3695501Z   test_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3696119Z   test_nn_AvgPool3d_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3697157Z   test_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3697514Z   test_nn_BCELoss (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3697938Z   test_nn_BCELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3698273Z   test_nn_BCELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3698600Z   test_nn_BCELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3698920Z   test_nn_BCELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3699224Z   test_nn_BCELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3699557Z   test_nn_BCELoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3699876Z   test_nn_BCELoss_weights (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3700180Z   test_nn_BCELoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3700598Z   test_nn_BCELoss_weights_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3700930Z   test_nn_BCEWithLogitsLoss (__main__.TestJitGeneratedModule) ... ok (0.042s)
2022-11-23T01:28:41.3701264Z   test_nn_BCEWithLogitsLoss_legacy_enum (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3701600Z   test_nn_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3701953Z   test_nn_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3702307Z   test_nn_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3702653Z   test_nn_BCEWithLogitsLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3702985Z   test_nn_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3703344Z   test_nn_BCEWithLogitsLoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3703689Z   test_nn_BCEWithLogitsLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3704004Z   test_nn_BatchNorm1d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.084s)
2022-11-23T01:28:41.3704333Z   test_nn_BatchNorm1d_3d_input_not_affine (__main__.TestJitGeneratedModule) ... ok (0.083s)
2022-11-23T01:28:41.3704656Z   test_nn_BatchNorm1d_affine (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T01:28:41.3704989Z   test_nn_BatchNorm1d_affine_simple_average (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T01:28:41.3705311Z   test_nn_BatchNorm1d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T01:28:41.3705643Z   test_nn_BatchNorm1d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T01:28:41.3705973Z   test_nn_BatchNorm1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T01:28:41.3706273Z   test_nn_BatchNorm2d (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T01:28:41.3706597Z   test_nn_BatchNorm2d_2d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.103s)
2022-11-23T01:28:41.3706923Z   test_nn_BatchNorm2d_momentum (__main__.TestJitGeneratedModule) ... ok (0.099s)
2022-11-23T01:28:41.3707245Z   test_nn_BatchNorm2d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T01:28:41.3707561Z   test_nn_BatchNorm2d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.093s)
2022-11-23T01:28:41.3707889Z   test_nn_BatchNorm2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.092s)
2022-11-23T01:28:41.3708201Z   test_nn_BatchNorm3d (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T01:28:41.3708507Z   test_nn_BatchNorm3d_3d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T01:28:41.3708834Z   test_nn_BatchNorm3d_momentum (__main__.TestJitGeneratedModule) ... ok (0.084s)
2022-11-23T01:28:41.3709156Z   test_nn_BatchNorm3d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.081s)
2022-11-23T01:28:41.3709553Z   test_nn_BatchNorm3d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T01:28:41.3709867Z   test_nn_BatchNorm3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.080s)
2022-11-23T01:28:41.3710175Z   test_nn_Bilinear (__main__.TestJitGeneratedModule) ... ok (0.042s)
2022-11-23T01:28:41.3710460Z   test_nn_CELU (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3710742Z   test_nn_CELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3711042Z   test_nn_CELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3711408Z   test_nn_CTCLoss_2d_int_target_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.002s)
2022-11-23T01:28:41.3711792Z   test_nn_CTCLoss_2d_int_target_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3712153Z   test_nn_CTCLoss_2d_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.023s)
2022-11-23T01:28:41.3712520Z   test_nn_CTCLoss_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.002s)
2022-11-23T01:28:41.3712874Z   test_nn_CTCLoss_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.023s)
2022-11-23T01:28:41.3713183Z   test_nn_ConstantPad1d (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3713503Z   test_nn_ConstantPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3713888Z   test_nn_ConstantPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3714205Z   test_nn_ConstantPad2d (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3714508Z   test_nn_ConstantPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3714840Z   test_nn_ConstantPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3715161Z   test_nn_ConstantPad3d (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3715470Z   test_nn_ConstantPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3715800Z   test_nn_ConstantPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3716106Z   test_nn_Conv1d (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3716418Z   test_nn_Conv1d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T01:28:41.3716723Z   test_nn_Conv1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3717024Z   test_nn_Conv1d_groups (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3717319Z   test_nn_Conv1d_pad1 (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3717607Z   test_nn_Conv1d_pad1size1 (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T01:28:41.3717910Z   test_nn_Conv1d_pad2 (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3718211Z   test_nn_Conv1d_pad2size1 (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3718521Z   test_nn_Conv1d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3718814Z   test_nn_Conv1d_pad_same2 (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3719131Z   test_nn_Conv1d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3719442Z   test_nn_Conv1d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3719747Z   test_nn_Conv1d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T01:28:41.3720079Z   test_nn_Conv1d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T01:28:41.3720395Z   test_nn_Conv1d_stride (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T01:28:41.3720705Z   test_nn_Conv1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.048s)
2022-11-23T01:28:41.3721008Z   test_nn_Conv1d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T01:28:41.3721355Z   test_nn_Conv2d (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3721668Z   test_nn_Conv2d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T01:28:41.3721978Z   test_nn_Conv2d_depthwise (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T01:28:41.3722296Z   test_nn_Conv2d_depthwise_dilated (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3722623Z   test_nn_Conv2d_depthwise_padded (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3722950Z   test_nn_Conv2d_depthwise_strided (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T01:28:41.3723273Z   test_nn_Conv2d_depthwise_with_multiplier (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T01:28:41.3723597Z   test_nn_Conv2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3723931Z   test_nn_Conv2d_groups (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3724224Z   test_nn_Conv2d_groups_thnn (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3724530Z   test_nn_Conv2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3724836Z   test_nn_Conv2d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3725151Z   test_nn_Conv2d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3725452Z   test_nn_Conv2d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3725759Z   test_nn_Conv2d_padding (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3726074Z   test_nn_Conv2d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T01:28:41.3726393Z   test_nn_Conv2d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T01:28:41.3726707Z   test_nn_Conv2d_strided (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3727015Z   test_nn_Conv2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3727334Z   test_nn_Conv2d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3727621Z   test_nn_Conv3d (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3727920Z   test_nn_Conv3d_1x1x1_no_bias (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3728243Z   test_nn_Conv3d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.060s)
2022-11-23T01:28:41.3728554Z   test_nn_Conv3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3728867Z   test_nn_Conv3d_dilated_strided (__main__.TestJitGeneratedModule) ... ok (0.062s)
2022-11-23T01:28:41.3729177Z   test_nn_Conv3d_groups (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3729479Z   test_nn_Conv3d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3729771Z   test_nn_Conv3d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3730088Z   test_nn_Conv3d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T01:28:41.3730405Z   test_nn_Conv3d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3730714Z   test_nn_Conv3d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.055s)
2022-11-23T01:28:41.3731025Z   test_nn_Conv3d_stride (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3731339Z   test_nn_Conv3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3731650Z   test_nn_Conv3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3731952Z   test_nn_Conv3d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T01:28:41.3732272Z   test_nn_ConvTranspose1d (__main__.TestJitGeneratedModule) ... ok (0.097s)
2022-11-23T01:28:41.3732597Z   test_nn_ConvTranspose1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T01:28:41.3732917Z   test_nn_ConvTranspose1d_groups (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T01:28:41.3733275Z   test_nn_ConvTranspose1d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T01:28:41.3733596Z   test_nn_ConvTranspose2d (__main__.TestJitGeneratedModule) ... ok (0.104s)
2022-11-23T01:28:41.3733916Z   test_nn_ConvTranspose2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T01:28:41.3734231Z   test_nn_ConvTranspose2d_groups (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T01:28:41.3734555Z   test_nn_ConvTranspose2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.101s)
2022-11-23T01:28:41.3734868Z   test_nn_ConvTranspose3d (__main__.TestJitGeneratedModule) ... ok (0.105s)
2022-11-23T01:28:41.3735173Z   test_nn_ConvTranspose3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.104s)
2022-11-23T01:28:41.3735497Z   test_nn_CosineEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3735873Z   test_nn_CosineEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3736227Z   test_nn_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3736755Z   test_nn_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3737121Z   test_nn_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3737458Z   test_nn_CrossEntropyLoss (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3737761Z   test_nn_CrossEntropyLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3738105Z   test_nn_CrossEntropyLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3738468Z   test_nn_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3738860Z   test_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3739250Z   test_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3739656Z   test_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3740025Z   test_nn_CrossEntropyLoss_2d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3740383Z   test_nn_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3740754Z   test_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3741142Z   test_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3741512Z   test_nn_CrossEntropyLoss_2d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3741850Z   test_nn_CrossEntropyLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3742208Z   test_nn_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3742602Z   test_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3743004Z   test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3743409Z   test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3743795Z   test_nn_CrossEntropyLoss_3d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3744152Z   test_nn_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3744537Z   test_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3744953Z   test_nn_CrossEntropyLoss_3d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3745309Z   test_nn_CrossEntropyLoss_4d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3745660Z   test_nn_CrossEntropyLoss_4d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3746003Z   test_nn_CrossEntropyLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3746326Z   test_nn_CrossEntropyLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3746669Z   test_nn_CrossEntropyLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3746990Z   test_nn_CrossMapLRN2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3747274Z   test_nn_ELU (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3747608Z   test_nn_ELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3747911Z   test_nn_ELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3748199Z   test_nn_Embedding (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3748519Z   test_nn_EmbeddingBag_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.064s)
2022-11-23T01:28:41.3748845Z   test_nn_EmbeddingBag_max (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3749176Z   test_nn_EmbeddingBag_max_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3749496Z   test_nn_EmbeddingBag_mean (__main__.TestJitGeneratedModule) ... ok (0.048s)
2022-11-23T01:28:41.3749824Z   test_nn_EmbeddingBag_mean_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T01:28:41.3750152Z   test_nn_EmbeddingBag_sparse (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T01:28:41.3750458Z   test_nn_EmbeddingBag_sum (__main__.TestJitGeneratedModule) ... ok (0.046s)
2022-11-23T01:28:41.3750786Z   test_nn_EmbeddingBag_sum_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3751120Z   test_nn_Embedding_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.025s)
2022-11-23T01:28:41.3751442Z   test_nn_Embedding_sparse (__main__.TestJitGeneratedModule) ... ok (0.024s)
2022-11-23T01:28:41.3751727Z   test_nn_Flatten (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3752030Z   test_nn_Flatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3752329Z   test_nn_Fold (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T01:28:41.3752607Z   test_nn_Fold_int_input (__main__.TestJitGeneratedModule) ... ok (0.046s)
2022-11-23T01:28:41.3752919Z   test_nn_Fold_no_batch_dim_input (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3753243Z   test_nn_Fold_no_batch_dim_int_input (__main__.TestJitGeneratedModule) ... ok (0.046s)
2022-11-23T01:28:41.3753577Z   test_nn_FractionalMaxPool2d_ratio (__main__.TestJitGeneratedModule) ... ok (0.090s)
2022-11-23T01:28:41.3754003Z   test_nn_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.076s)
2022-11-23T01:28:41.3754392Z   test_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T01:28:41.3754788Z   test_nn_FractionalMaxPool2d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T01:28:41.3755140Z   test_nn_FractionalMaxPool2d_size (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T01:28:41.3755486Z   test_nn_FractionalMaxPool2d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T01:28:41.3755873Z   test_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T01:28:41.3756246Z   test_nn_FractionalMaxPool3d_asymsize (__main__.TestJitGeneratedModule) ... ok (0.093s)
2022-11-23T01:28:41.3756580Z   test_nn_FractionalMaxPool3d_ratio (__main__.TestJitGeneratedModule) ... ok (0.080s)
2022-11-23T01:28:41.3756974Z   test_nn_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.080s)
2022-11-23T01:28:41.3757362Z   test_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.084s)
2022-11-23T01:28:41.3757750Z   test_nn_FractionalMaxPool3d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T01:28:41.3758094Z   test_nn_FractionalMaxPool3d_size (__main__.TestJitGeneratedModule) ... ok (0.080s)
2022-11-23T01:28:41.3758444Z   test_nn_FractionalMaxPool3d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.077s)
2022-11-23T01:28:41.3758833Z   test_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.080s)
2022-11-23T01:28:41.3759170Z   test_nn_GELU (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3759487Z   test_nn_GELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3759792Z   test_nn_GELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3760080Z   test_nn_GLU (__main__.TestJitGeneratedModule) ... ok (0.041s)
2022-11-23T01:28:41.3760353Z   test_nn_GLU_dim (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3760653Z   test_nn_GLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3760951Z   test_nn_GRUCell (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T01:28:41.3761240Z   test_nn_GroupNorm_1d_affine (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T01:28:41.3761563Z   test_nn_GroupNorm_1d_affine_GN (__main__.TestJitGeneratedModule) ... ok (0.074s)
2022-11-23T01:28:41.3761895Z   test_nn_GroupNorm_1d_affine_large_batch (__main__.TestJitGeneratedModule) ... ok (0.073s)
2022-11-23T01:28:41.3762228Z   test_nn_GroupNorm_1d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T01:28:41.3762541Z   test_nn_GroupNorm_1d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.070s)
2022-11-23T01:28:41.3762859Z   test_nn_GroupNorm_2d_affine (__main__.TestJitGeneratedModule) ... ok (0.074s)
2022-11-23T01:28:41.3763193Z   test_nn_GroupNorm_2d_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T01:28:41.3763513Z   test_nn_GroupNorm_2d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T01:28:41.3763836Z   test_nn_GroupNorm_2d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T01:28:41.3764173Z   test_nn_GroupNorm_2d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.087s)
2022-11-23T01:28:41.3764498Z   test_nn_Hardshrink (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3764797Z   test_nn_Hardshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3765115Z   test_nn_Hardshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3765475Z   test_nn_Hardsigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.002s)
2022-11-23T01:28:41.3765868Z   test_nn_Hardswish_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.002s)
2022-11-23T01:28:41.3766187Z   test_nn_Hardtanh (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3766493Z   test_nn_Hardtanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3766804Z   test_nn_Hardtanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3767113Z   test_nn_HingeEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3767446Z   test_nn_HingeEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3767796Z   test_nn_HingeEmbeddingLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3768159Z   test_nn_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3768538Z   test_nn_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3768905Z   test_nn_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3769257Z   test_nn_HingeEmbeddingLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3769595Z   test_nn_HingeEmbeddingLoss_scalar_margin (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3769920Z   test_nn_HuberLoss (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3770222Z   test_nn_HuberLoss_delta (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3770542Z   test_nn_HuberLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.024s)
2022-11-23T01:28:41.3770859Z   test_nn_HuberLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.024s)
2022-11-23T01:28:41.3771227Z   test_nn_HuberLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.023s)
2022-11-23T01:28:41.3771550Z   test_nn_InstanceNorm1d (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T01:28:41.3771863Z   test_nn_InstanceNorm1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.098s)
2022-11-23T01:28:41.3772204Z   test_nn_InstanceNorm1d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.104s)
2022-11-23T01:28:41.3772565Z   test_nn_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.108s)
2022-11-23T01:28:41.3772899Z   test_nn_InstanceNorm2d (__main__.TestJitGeneratedModule) ... ok (0.102s)
2022-11-23T01:28:41.3773206Z   test_nn_InstanceNorm2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.102s)
2022-11-23T01:28:41.3773545Z   test_nn_InstanceNorm2d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.109s)
2022-11-23T01:28:41.3773898Z   test_nn_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.108s)
2022-11-23T01:28:41.3774222Z   test_nn_InstanceNorm3d (__main__.TestJitGeneratedModule) ... ok (0.103s)
2022-11-23T01:28:41.3774543Z   test_nn_InstanceNorm3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.100s)
2022-11-23T01:28:41.3774878Z   test_nn_InstanceNorm3d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.107s)
2022-11-23T01:28:41.3775233Z   test_nn_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.106s)
2022-11-23T01:28:41.3775545Z   test_nn_KLDivLoss (__main__.TestJitGeneratedModule) ... ok (0.042s)
2022-11-23T01:28:41.3775856Z   test_nn_KLDivLoss_log_target (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3776181Z   test_nn_KLDivLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3776643Z   test_nn_KLDivLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3776967Z   test_nn_KLDivLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3777298Z   test_nn_KLDivLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3777631Z   test_nn_KLDivLoss_no_reduce_log_target (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3777948Z   test_nn_KLDivLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3778293Z   test_nn_KLDivLoss_no_reduce_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3778625Z   test_nn_KLDivLoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3778952Z   test_nn_KLDivLoss_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3779281Z   test_nn_KLDivLoss_with_log_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3779628Z   test_nn_KLDivLoss_with_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3779938Z   test_nn_L1Loss (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3780230Z   test_nn_L1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3780612Z   test_nn_L1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3780933Z   test_nn_L1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3781246Z   test_nn_L1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3781549Z   test_nn_L1Loss_no_reduce_complex (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3781875Z   test_nn_L1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3782187Z   test_nn_L1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3782472Z   test_nn_LPPool1d (__main__.TestJitGeneratedModule) ... ok (0.113s)
2022-11-23T01:28:41.3782782Z   test_nn_LPPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.113s)
2022-11-23T01:28:41.3783149Z   test_nn_LPPool1d_norm (__main__.TestJitGeneratedModule) ... ok (0.117s)
2022-11-23T01:28:41.3783451Z   test_nn_LPPool2d (__main__.TestJitGeneratedModule) ... ok (0.137s)
2022-11-23T01:28:41.3783736Z   test_nn_LPPool2d_norm (__main__.TestJitGeneratedModule) ... ok (0.148s)
2022-11-23T01:28:41.3784036Z   test_nn_LSTMCell (__main__.TestJitGeneratedModule) ... ok (0.078s)
2022-11-23T01:28:41.3784352Z   test_nn_LayerNorm_1d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3784686Z   test_nn_LayerNorm_1d_empty_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.043s)
2022-11-23T01:28:41.3785037Z   test_nn_LayerNorm_1d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.042s)
2022-11-23T01:28:41.3785377Z   test_nn_LayerNorm_3d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.044s)
2022-11-23T01:28:41.3785724Z   test_nn_LayerNorm_3d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.166s)
2022-11-23T01:28:41.3786059Z   test_nn_LayerNorm_3d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.043s)
2022-11-23T01:28:41.3786379Z   test_nn_LeakyReLU (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3786691Z   test_nn_LeakyReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3786997Z   test_nn_LeakyReLU_with_negval (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3787323Z   test_nn_LeakyReLU_with_negval_scalar (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3787657Z   test_nn_LeakyReLU_with_zero_negval (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3787964Z   test_nn_Linear (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3788251Z   test_nn_Linear_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3788564Z   test_nn_Linear_no_bias (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3788883Z   test_nn_LocalResponseNorm_1d (__main__.TestJitGeneratedModule) ... ok (0.162s)
2022-11-23T01:28:41.3789209Z   test_nn_LocalResponseNorm_2d_uneven_pad (__main__.TestJitGeneratedModule) ... ok (0.178s)
2022-11-23T01:28:41.3789565Z   test_nn_LocalResponseNorm_3d_custom_params (__main__.TestJitGeneratedModule) ... ok (0.184s)
2022-11-23T01:28:41.3789892Z   test_nn_LogSigmoid (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3790207Z   test_nn_LogSigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3790511Z   test_nn_LogSigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3790817Z   test_nn_LogSoftmax (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3791129Z   test_nn_LogSoftmax_multiparam (__main__.TestJitGeneratedModule) ... ok (0.048s)
2022-11-23T01:28:41.3791447Z   test_nn_LogSoftmax_multiparam_scalar (__main__.TestJitGeneratedModule) ... ok (0.046s)
2022-11-23T01:28:41.3791778Z   test_nn_LogSoftmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3792089Z   test_nn_MSELoss (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3792433Z   test_nn_MSELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3792744Z   test_nn_MSELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3793064Z   test_nn_MSELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3793379Z   test_nn_MSELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3793679Z   test_nn_MSELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3794054Z   test_nn_MSELoss_prec (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3794357Z   test_nn_MSELoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3794673Z   test_nn_MarginRankingLoss (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3795024Z   test_nn_MarginRankingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3795372Z   test_nn_MarginRankingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3795727Z   test_nn_MarginRankingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3796066Z   test_nn_MarginRankingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3796392Z   test_nn_MaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3796705Z   test_nn_MaxPool1d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.054s)
2022-11-23T01:28:41.3797026Z   test_nn_MaxPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.046s)
2022-11-23T01:28:41.3797323Z   test_nn_MaxPool2d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.048s)
2022-11-23T01:28:41.3797634Z   test_nn_MaxPool2d_4d_input (__main__.TestJitGeneratedModule) ... ok (0.049s)
2022-11-23T01:28:41.3797958Z   test_nn_MaxPool2d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T01:28:41.3798256Z   test_nn_MaxPool3d (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3798572Z   test_nn_MaxPool3d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T01:28:41.3798889Z   test_nn_MaxPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3799209Z   test_nn_MaxPool3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.050s)
2022-11-23T01:28:41.3799498Z   test_nn_Mish (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3799794Z   test_nn_Mish_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3800096Z   test_nn_Mish_scalar (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3800397Z   test_nn_MultiLabelMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3800742Z   test_nn_MultiLabelMarginLoss_0d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3801089Z   test_nn_MultiLabelMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3801436Z   test_nn_MultiLabelMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3801773Z   test_nn_MultiLabelMarginLoss_index_neg (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3802133Z   test_nn_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3802504Z   test_nn_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3802856Z   test_nn_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3803209Z   test_nn_MultiLabelMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3803555Z   test_nn_MultiLabelSoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.079s)
2022-11-23T01:28:41.3803924Z   test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T01:28:41.3804321Z   test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T01:28:41.3804700Z   test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.058s)
2022-11-23T01:28:41.3805071Z   test_nn_MultiLabelSoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T01:28:41.3805435Z   test_nn_MultiLabelSoftMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.075s)
2022-11-23T01:28:41.3805798Z   test_nn_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s)
2022-11-23T01:28:41.3806151Z   test_nn_MultiMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3806464Z   test_nn_MultiMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3806809Z   test_nn_MultiMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3807140Z   test_nn_MultiMarginLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3807473Z   test_nn_MultiMarginLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3807815Z   test_nn_MultiMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3808125Z   test_nn_MultiMarginLoss_p (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3808457Z   test_nn_MultiMarginLoss_p_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3808794Z   test_nn_MultiMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3809121Z   test_nn_MultiMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3809531Z   test_nn_MultiheadAttention (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:28:41.3809901Z   test_nn_NLLLoss (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3810207Z   test_nn_NLLLoss2d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3810524Z   test_nn_NLLLoss2d_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3810857Z   test_nn_NLLLoss2d_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3811181Z   test_nn_NLLLossNd_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3811497Z   test_nn_NLLLossNd_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3811834Z   test_nn_NLLLossNd_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3812148Z   test_nn_NLLLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3812454Z   test_nn_NLLLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3812761Z   test_nn_NLLLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3813070Z   test_nn_NLLLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3813381Z   test_nn_NLLLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3813682Z   test_nn_NLLLoss_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3814006Z   test_nn_NLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3814330Z   test_nn_NLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3814647Z   test_nn_NLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3814949Z   test_nn_NLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3815270Z   test_nn_NLLLoss_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3815604Z   test_nn_NLLLoss_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3815984Z   test_nn_NLLLoss_no_reduce_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3816334Z   test_nn_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3816839Z   test_nn_NLLLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3817162Z   test_nn_NLLLoss_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3817487Z   test_nn_NLLLoss_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.027s)
2022-11-23T01:28:41.3817802Z   test_nn_PReLU_1d (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3818110Z   test_nn_PReLU_1d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3818413Z   test_nn_PReLU_2d (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3818761Z   test_nn_PReLU_2d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3819067Z   test_nn_PReLU_3d (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3819368Z   test_nn_PReLU_3d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3819667Z   test_nn_PReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3819974Z   test_nn_PReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3820291Z   test_nn_Padding122112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3820617Z   test_nn_Padding1221_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3820926Z   test_nn_Padding12_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3821250Z   test_nn_Padding2322_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3821571Z   test_nn_Padding31_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3821878Z   test_nn_Padding322112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3822206Z   test_nn_Padding332122_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3822525Z   test_nn_Padding3331_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3822848Z   test_nn_Padding33_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3823154Z   test_nn_PairwiseDistance (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3823486Z   test_nn_PairwiseDistance_broadcast_lhs (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3823836Z   test_nn_PairwiseDistance_broadcast_rhs (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3824162Z   test_nn_PairwiseDistance_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3824521Z   test_nn_PairwiseDistance_with_non_default_args (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3824856Z   test_nn_PixelShuffle (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3825168Z   test_nn_PixelUnshuffle (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3825476Z   test_nn_PoissonNLLLoss_full_loss (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3825820Z   test_nn_PoissonNLLLoss_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3826169Z   test_nn_PoissonNLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3826499Z   test_nn_PoissonNLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3826838Z   test_nn_PoissonNLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3827174Z   test_nn_PoissonNLLLoss_no_full_loss (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3827525Z   test_nn_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3827903Z   test_nn_PoissonNLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3828215Z   test_nn_RNNCell (__main__.TestJitGeneratedModule) ... ok (0.068s)
2022-11-23T01:28:41.3828502Z   test_nn_RReLU (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3828785Z   test_nn_RReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3829097Z   test_nn_RReLU_with_up_down (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3829416Z   test_nn_RReLU_with_up_down_scalar (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3829719Z   test_nn_ReLU (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3829986Z   test_nn_ReLU6 (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3830284Z   test_nn_ReLU6_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3830622Z   test_nn_ReLU6_scalar (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3830913Z   test_nn_ReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3831215Z   test_nn_ReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3831523Z   test_nn_ReflectionPad1d (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3831844Z   test_nn_ReflectionPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3832165Z   test_nn_ReflectionPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3832488Z   test_nn_ReflectionPad2d (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3832807Z   test_nn_ReflectionPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3833131Z   test_nn_ReflectionPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3833458Z   test_nn_ReflectionPad3d (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3833843Z   test_nn_ReflectionPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.042s)
2022-11-23T01:28:41.3834183Z   test_nn_ReflectionPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3834499Z   test_nn_ReplicationPad1d (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3834826Z   test_nn_ReplicationPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3835159Z   test_nn_ReplicationPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3835472Z   test_nn_ReplicationPad2d (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3835798Z   test_nn_ReplicationPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3836139Z   test_nn_ReplicationPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3836473Z   test_nn_ReplicationPad3d (__main__.TestJitGeneratedModule) ... ok (0.037s)
2022-11-23T01:28:41.3836791Z   test_nn_ReplicationPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3837137Z   test_nn_ReplicationPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3837449Z   test_nn_SELU (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3837731Z   test_nn_SELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3838036Z   test_nn_SELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3838164Z   test_nn_SiLU (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3838305Z   test_nn_SiLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3838441Z   test_nn_SiLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3838573Z   test_nn_Sigmoid (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3838709Z   test_nn_Sigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3838888Z   test_nn_Sigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.029s)
2022-11-23T01:28:41.3839032Z   test_nn_SmoothL1Loss (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3839175Z   test_nn_SmoothL1Loss_beta (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3839332Z   test_nn_SmoothL1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3839490Z   test_nn_SmoothL1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3839645Z   test_nn_SmoothL1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3839794Z   test_nn_SmoothL1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3839938Z   test_nn_SmoothL1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3840115Z   test_nn_SmoothL1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.028s)
2022-11-23T01:28:41.3840265Z   test_nn_SmoothL1Loss_zero_beta (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3840405Z   test_nn_SoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3840566Z   test_nn_SoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3840725Z   test_nn_SoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3840886Z   test_nn_SoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.026s)
2022-11-23T01:28:41.3841040Z   test_nn_SoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3841173Z   test_nn_Softmax (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3841295Z   test_nn_Softmax2d (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3841447Z   test_nn_Softmax2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.052s)
2022-11-23T01:28:41.3841593Z   test_nn_Softmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.046s)
2022-11-23T01:28:41.3841737Z   test_nn_Softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3841871Z   test_nn_Softmin (__main__.TestJitGeneratedModule) ... ok (0.057s)
2022-11-23T01:28:41.3842013Z   test_nn_Softmin_multidim (__main__.TestJitGeneratedModule) ... ok (0.056s)
2022-11-23T01:28:41.3842156Z   test_nn_Softmin_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T01:28:41.3842295Z   test_nn_Softmin_scalar (__main__.TestJitGeneratedModule) ... ok (0.053s)
2022-11-23T01:28:41.3842420Z   test_nn_Softplus (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3842558Z   test_nn_Softplus_beta (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3842708Z   test_nn_Softplus_beta_threshold (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3842873Z   test_nn_Softplus_beta_threshold_scalar (__main__.TestJitGeneratedModule) ... ok (0.033s)
2022-11-23T01:28:41.3843020Z   test_nn_Softplus_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3843156Z   test_nn_Softshrink (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3843298Z   test_nn_Softshrink_lambda (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3843452Z   test_nn_Softshrink_lambda_scalar (__main__.TestJitGeneratedModule) ... ok (0.031s)
2022-11-23T01:28:41.3843593Z   test_nn_Softshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3843728Z   test_nn_Softsign (__main__.TestJitGeneratedModule) ... ok (0.084s)
2022-11-23T01:28:41.3843874Z   test_nn_Softsign_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.071s)
2022-11-23T01:28:41.3844014Z   test_nn_Softsign_scalar (__main__.TestJitGeneratedModule) ... ok (0.069s)
2022-11-23T01:28:41.3844143Z   test_nn_Tanh (__main__.TestJitGeneratedModule) ... ok (0.032s)
2022-11-23T01:28:41.3844285Z   test_nn_Tanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3844453Z   test_nn_Tanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3844594Z   test_nn_Tanhshrink (__main__.TestJitGeneratedModule) ... ok (0.123s)
2022-11-23T01:28:41.3844729Z   test_nn_Tanhshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.067s)
2022-11-23T01:28:41.3844870Z   test_nn_Tanhshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.066s)
2022-11-23T01:28:41.3845020Z   test_nn_Threshold_large_value (__main__.TestJitGeneratedModule) ... ok (0.042s)
2022-11-23T01:28:41.3845167Z   test_nn_Threshold_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.039s)
2022-11-23T01:28:41.3845320Z   test_nn_Threshold_threshold_value (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3845480Z   test_nn_Threshold_threshold_value_scalar (__main__.TestJitGeneratedModule) ... ok (0.038s)
2022-11-23T01:28:41.3845719Z   test_nn_Transformer (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:28:41.3845902Z   test_nn_TransformerDecoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (1.957s)
2022-11-23T01:28:41.3846069Z   test_nn_TransformerDecoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (1.880s)
2022-11-23T01:28:41.3846248Z   test_nn_TransformerEncoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (1.710s)
2022-11-23T01:28:41.3846429Z   test_nn_TransformerEncoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (1.737s)
2022-11-23T01:28:41.3846585Z   test_nn_Transformer_multilayer_coder (__main__.TestJitGeneratedModule) ... ok (5.714s)
2022-11-23T01:28:41.3846753Z   test_nn_TripletMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.040s)
2022-11-23T01:28:41.3846921Z   test_nn_TripletMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3847088Z   test_nn_TripletMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.030s)
2022-11-23T01:28:41.3847239Z   test_nn_Unflatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3847371Z   test_nn_Unfold (__main__.TestJitGeneratedModule) ... ok (0.051s)
2022-11-23T01:28:41.3847502Z   test_nn_Unfold_int_input (__main__.TestJitGeneratedModule) ... ok (0.047s)
2022-11-23T01:28:41.3847640Z   test_nn_ZeroPad2d (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3847786Z   test_nn_ZeroPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.035s)
2022-11-23T01:28:41.3847939Z   test_nn_ZeroPad2d_negative_dims (__main__.TestJitGeneratedModule) ... ok (0.034s)
2022-11-23T01:28:41.3848090Z   test_nn_ZeroPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s)
2022-11-23T01:28:41.3848241Z   test_nn_interpolate_bicubic_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3848406Z   test_nn_interpolate_bicubic_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3848569Z   test_nn_interpolate_bicubic_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3848727Z   test_nn_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3848902Z   test_nn_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3849089Z   test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3849245Z   test_nn_interpolate_bicubic_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3849419Z   test_nn_interpolate_bicubic_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3849570Z   test_nn_interpolate_bilinear_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3849731Z   test_nn_interpolate_bilinear_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3849918Z   test_nn_interpolate_bilinear_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3850091Z   test_nn_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3850251Z   test_nn_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3850440Z   test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3850595Z   test_nn_interpolate_bilinear_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3850769Z   test_nn_interpolate_bilinear_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3850917Z   test_nn_interpolate_linear_1d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3851124Z   test_nn_interpolate_linear_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3851281Z   test_nn_interpolate_linear_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3851434Z   test_nn_interpolate_linear_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3851591Z   test_nn_interpolate_linear_scale_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3851748Z   test_nn_interpolate_linear_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3851900Z   test_nn_interpolate_nearest_1d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3852058Z   test_nn_interpolate_nearest_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3852206Z   test_nn_interpolate_nearest_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3852373Z   test_nn_interpolate_nearest_2d_launch_configs (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3852531Z   test_nn_interpolate_nearest_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3852682Z   test_nn_interpolate_nearest_3d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3852834Z   test_nn_interpolate_nearest_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3852977Z   test_nn_interpolate_nearest_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3853133Z   test_nn_interpolate_nearest_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3853284Z   test_nn_interpolate_nearest_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3853434Z   test_nn_interpolate_nearest_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3853583Z   test_nn_interpolate_nearest_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3853734Z   test_nn_interpolate_nearest_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3853888Z   test_nn_interpolate_trilinear_3d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3854050Z   test_nn_interpolate_trilinear_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3854196Z   test_nn_interpolate_trilinear_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3854372Z   test_nn_interpolate_trilinear_scale_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3854647Z   test_nn_interpolate_trilinear_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3854824Z   test_nn_interpolate_trilinear_tuple_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3854966Z   test_nn_log_softmax_dim0 (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3855111Z   test_nn_log_softmax_dim3 (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3855259Z   test_nn_log_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3855439Z   test_nn_log_softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3855571Z   test_nn_log_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3855728Z   test_nn_log_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3855904Z   test_nn_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3856057Z   test_nn_softmax_functional_dim0 (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3856204Z   test_nn_softmax_functional_dim3 (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3856355Z   test_nn_softmax_functional_scalar (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3856620Z   test_nn_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3856824Z   test_nn_softmax_lastdim_dtype (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3856967Z   test_nn_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3857103Z   test_nn_softmax_spatial_dtype (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3857253Z   test_nn_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.002s)
2022-11-23T01:28:41.3857422Z   test_checkscriptassertraisesregex (jit.test_jit_utils.TestJitUtils) ... ok (0.002s)
2022-11-23T01:28:41.3857580Z   test_get_callable_argument_names_hybrid (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T01:28:41.3857746Z   test_get_callable_argument_names_keyword_only (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T01:28:41.3857915Z   test_get_callable_argument_names_positional_only (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T01:28:41.3858094Z   test_get_callable_argument_names_positional_or_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T01:28:41.3858260Z   test_get_callable_argument_names_var_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T01:28:41.3858415Z   test_get_callable_argument_names_var_positional (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T01:28:41.3858568Z   test_no_tracer_warn_context_manager (jit.test_jit_utils.TestJitUtils) ... ok (0.001s)
2022-11-23T01:28:41.3858709Z   test_comprehension_iterable (jit.test_list_dict.TestList) ... ok (0.018s)
2022-11-23T01:28:41.3858860Z   test_comprehension_out_type_not_in_type (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T01:28:41.3858996Z   test_comprehensions_basic (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T01:28:41.3859141Z   test_comprehensions_basic_float (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T01:28:41.3859282Z   test_comprehensions_two_comps (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3859421Z   test_copy_list_immutable (jit.test_list_dict.TestList) ... ok (0.003s)
2022-11-23T01:28:41.3859540Z   test_copy_list_mutable (jit.test_list_dict.TestList) ... ok (0.003s)
2022-11-23T01:28:41.3859658Z   test_del (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T01:28:41.3859807Z   test_dict_keyword_is_correctly_typed (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3859963Z   test_dict_keyword_with_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3860134Z   test_dict_keyword_with_dict_comprehension_and_kwargs (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3860295Z   test_dict_keyword_with_empty_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.003s)
2022-11-23T01:28:41.3860442Z   test_dict_keyword_with_empty_iterable (jit.test_list_dict.TestList) ... ok (0.003s)
2022-11-23T01:28:41.3860606Z   test_dict_keyword_with_internal_aggregate_function (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3860750Z   test_dict_keyword_with_iterable (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3860882Z   test_dict_keyword_with_kwargs (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3861087Z   test_dict_keyword_with_kwargs_using_container_values (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T01:28:41.3861232Z   test_dict_keyword_with_mapping (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3861383Z   test_dict_keyword_with_mapping_and_kwargs (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3861541Z   test_dict_keyword_with_mismatched_annotations (jit.test_list_dict.TestList) ... ok (0.002s)
2022-11-23T01:28:41.3861685Z   test_dict_keyword_with_nested_call (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3861850Z   test_dict_keyword_with_previously_declared_variable (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3862028Z   test_dict_keyword_with_previously_declared_variable_and_kwargs (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3862217Z   test_extend_list_immutable (jit.test_list_dict.TestList) ... ok (0.003s)
2022-11-23T01:28:41.3862351Z   test_extend_list_mutable (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3862475Z   test_in_check (jit.test_list_dict.TestList) ... ok (0.013s)
2022-11-23T01:28:41.3862608Z   test_list_bool_conversion (jit.test_list_dict.TestList) ... ok (0.019s)
2022-11-23T01:28:41.3862731Z   test_list_count (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3862954Z   test_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.003s)
2022-11-23T01:28:41.3863082Z   test_list_gather (jit.test_list_dict.TestList) ... ok (0.011s)
2022-11-23T01:28:41.3863203Z   test_list_index (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3863326Z   test_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.018s)
2022-11-23T01:28:41.3863450Z   test_list_keyword (jit.test_list_dict.TestList) ... ok (0.014s)
2022-11-23T01:28:41.3863568Z   test_list_len (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3863694Z   test_list_literal (jit.test_list_dict.TestList) ... ok (0.012s)
2022-11-23T01:28:41.3863815Z   test_list_none (jit.test_list_dict.TestList) ... ok (0.001s)
2022-11-23T01:28:41.3863934Z   test_list_ops (jit.test_list_dict.TestList) ... ok (0.058s)
2022-11-23T01:28:41.3864054Z   test_list_slice (jit.test_list_dict.TestList) ... ok (0.022s)
2022-11-23T01:28:41.3864174Z   test_list_sort (jit.test_list_dict.TestList) ... ok (0.036s)
2022-11-23T01:28:41.3864297Z   test_list_unification_hint (jit.test_list_dict.TestList) ... ok (0.001s)
2022-11-23T01:28:41.3864410Z   test_list_variance (jit.test_list_dict.TestList)
2022-11-23T01:28:41.3864539Z `List[T1]` is not a subtype of `List[T2]`, even if `T1` is a ... ok (0.009s)
2022-11-23T01:28:41.3864663Z   test_min_bool_list (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3864786Z   test_min_max_list (jit.test_list_dict.TestList) ... ok (0.059s)
2022-11-23T01:28:41.3864917Z   test_min_max_single_list (jit.test_list_dict.TestList) ... ok (0.041s)
2022-11-23T01:28:41.3865053Z   test_mutable_list_append (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3865189Z   test_mutable_list_append_2 (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3865314Z   test_mutable_list_append_if (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3865457Z   test_mutable_list_append_if_else (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3865595Z   test_mutable_list_append_loop (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3865739Z   test_mutable_list_append_loop_if (jit.test_list_dict.TestList) ... ok (0.007s)
2022-11-23T01:28:41.3865872Z   test_mutable_list_clear (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3866012Z   test_mutable_list_clear_empty (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3866154Z   test_mutable_list_function_inline (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3866285Z   test_mutable_list_insert (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3866454Z   test_mutable_list_insert_neg_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3866599Z   test_mutable_list_insert_negative (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3866748Z   test_mutable_list_insert_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3866887Z   test_mutable_list_nested_loop (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3867017Z   test_mutable_list_pop (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3867150Z   test_mutable_list_pop2 (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3867283Z   test_mutable_list_pop_at (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3867413Z   test_mutable_list_pop_at2 (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3867542Z   test_mutable_list_pop_at_negative (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3867718Z   test_mutable_list_pop_at_negative2 (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3867857Z   test_mutable_list_pop_empty (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3867991Z   test_mutable_list_pop_slice (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3868122Z   test_mutable_list_remove (jit.test_list_dict.TestList) ... ok (0.008s)
2022-11-23T01:28:41.3868253Z   test_mutable_list_remove2 (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3868400Z   test_mutable_list_remove_not_existing (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3868539Z   test_mutable_list_remove_tensor (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3868657Z   test_mutable_list_reverse (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3868797Z   test_mutable_list_reverse_empty (jit.test_list_dict.TestList) ... ok (0.004s)
2022-11-23T01:28:41.3868940Z   test_mutable_tensor_list_reverse (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3869079Z   test_no_element_type_annotation (jit.test_list_dict.TestList) ... ok (0.003s)
2022-11-23T01:28:41.3869204Z   test_slice_index (jit.test_list_dict.TestList) ... ok (0.028s)
2022-11-23T01:28:41.3869334Z   test_tensor_list_count (jit.test_list_dict.TestList) ... ok (0.006s)
2022-11-23T01:28:41.3869479Z   test_tensor_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3869608Z   test_tensor_list_index (jit.test_list_dict.TestList) ... ok (0.005s)
2022-11-23T01:28:41.3869741Z   test_tensor_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.019s)
2022-11-23T01:28:41.3869845Z   test_to_list (jit.test_list_dict.TestList)
2022-11-23T01:28:41.3869965Z Unit tests for Tensor.tolist() function. ... ok (0.240s)
2022-11-23T01:28:41.3870074Z   test_to_list_gpu (jit.test_list_dict.TestList)
2022-11-23T01:28:41.3870218Z GPU tests for Tensor.tolist() function. ... skip: CUDA is not available (0.001s)
2022-11-23T01:28:41.3870359Z   test_bump_numeric_counter (jit.test_logging.TestLogging) ... ok (0.008s)
2022-11-23T01:28:41.3870500Z   test_counter_aggregation (jit.test_logging.TestLogging) ... ok (0.007s)
2022-11-23T01:28:41.3870623Z   test_logging_levels_set (jit.test_logging.TestLogging) ... ok (0.001s)
2022-11-23T01:28:41.3870769Z   test_time_measurement_counter (jit.test_logging.TestLogging) ... ok (0.002s)
2022-11-23T01:28:41.3870925Z   test_time_measurement_counter_script (jit.test_logging.TestLogging) ... ok (0.007s)
2022-11-23T01:28:41.3871065Z   test_trace_numeric_counter (jit.test_logging.TestLogging) ... ok (0.006s)
2022-11-23T01:28:41.3871228Z   test_always_alive_values (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.019s)
2022-11-23T01:28:41.3871384Z   test_merge_liveness (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.010s)
2022-11-23T01:28:41.3871535Z   test_successful (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.017s)
2022-11-23T01:28:41.3871703Z   test_switch_inputs_to_inplace (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.026s)
2022-11-23T01:28:41.3871816Z   test_broadcasting_list (jit.test_misc.TestMisc)
2022-11-23T01:28:41.3871961Z Test BroadcastingList and torch.nn._size_N_t alias ... ok (0.008s)
2022-11-23T01:28:41.3872100Z   test_export_opnames_interface (jit.test_misc.TestMisc) ... ok (0.031s)
2022-11-23T01:28:41.3872225Z   test_future_isinstance (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T01:28:41.3872345Z   test_hacked_twin (jit.test_misc.TestMisc) ... ok (0.002s)
2022-11-23T01:28:41.3872456Z   test_if_returning_any (jit.test_misc.TestMisc)
2022-11-23T01:28:41.3872583Z Check that an if statement can return different ... ok (0.005s)
2022-11-23T01:28:41.3872700Z   test_joined_str (jit.test_misc.TestMisc) ... ok (0.004s)
2022-11-23T01:28:41.3872809Z   test_kwarg_support (jit.test_misc.TestMisc) ... ok (0.008s)
2022-11-23T01:28:41.3872944Z   test_legacy_tensor_constructor (jit.test_misc.TestMisc) ... ok (0.016s)
2022-11-23T01:28:41.3873100Z   test_list_literal_infer (jit.test_misc.TestMisc) ... ok (0.008s)
2022-11-23T01:28:41.3873214Z   test_math_inf (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T01:28:41.3873340Z   test_parse_ir_annotate (jit.test_misc.TestMisc) ... ok (0.001s)
2022-11-23T01:28:41.3873490Z   test_parse_ir_single_element_tensor_negative (jit.test_misc.TestMisc) ... ok (0.001s)
2022-11-23T01:28:41.3873638Z   test_parse_ir_single_element_tensor_positive (jit.test_misc.TestMisc) ... ok (0.001s)
2022-11-23T01:28:41.3873849Z   test_script_many_decorators (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T01:28:41.3873959Z   test_str_refine_any (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T01:28:41.3874098Z   test_subexpression_Dict_int_Future (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T01:28:41.3874237Z   test_subexpression_Future_annotate (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T01:28:41.3874371Z   test_subexpression_List_Future (jit.test_misc.TestMisc) ... ok (0.002s)
2022-11-23T01:28:41.3874507Z   test_subexpression_Optional (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T01:28:41.3874652Z   test_subexpression_Tuple_int_int_Future (jit.test_misc.TestMisc) ... ok (0.003s)
2022-11-23T01:28:41.3874789Z   test_tuple_subscripted_assign (jit.test_misc.TestMisc) ... ok (0.002s)
2022-11-23T01:28:41.3874966Z   test_call_script_fn_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.010s)
2022-11-23T01:28:41.3875138Z   test_call_script_module_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.016s)
2022-11-23T01:28:41.3875311Z   test_call_traced_fn_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.006s)
2022-11-23T01:28:41.3875482Z   test_call_traced_mod_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.010s)
2022-11-23T01:28:41.3875661Z   test_call_tracing_fn_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s)
2022-11-23T01:28:41.3875842Z   test_call_tracing_mod_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.012s)
2022-11-23T01:28:41.3876022Z   test_script_inline_trace_multiple_args (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s)
2022-11-23T01:28:41.3876189Z   test_trace_dict_mix_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.042s)
2022-11-23T01:28:41.3876349Z   test_trace_hierarchy (jit.test_tracer.TestMixTracingScripting) ... ok (0.024s)
2022-11-23T01:28:41.3876503Z   test_trace_linear (jit.test_tracer.TestMixTracingScripting) ... ok (0.019s)
2022-11-23T01:28:41.3876673Z   test_trace_mixed_by_script_with_dict_output (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s)
2022-11-23T01:28:41.3876829Z   test_trace_of_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s)
2022-11-23T01:28:41.3876990Z   test_trace_parameter (jit.test_tracer.TestMixTracingScripting) ... ok (0.022s)
2022-11-23T01:28:41.3877164Z   test_trace_returning_dict_with_tensor_tuples (jit.test_tracer.TestMixTracingScripting)
2022-11-23T01:28:41.3877326Z Tracing over a module returning a dictionary whose values are tuples of tensors ... ok (0.011s)
2022-11-23T01:28:41.3877483Z   test_trace_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.150s)
2022-11-23T01:28:41.3877720Z   test_trace_script_returning_complex_dict (jit.test_tracer.TestMixTracingScripting)
2022-11-23T01:28:41.3877871Z Tracing over a script function returning a dictionary should work. ... ok (0.025s)
2022-11-23T01:28:41.3878014Z   test_trace_with_size (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s)
2022-11-23T01:28:41.3878211Z   test_traced_module_contains_scripted_interface_types (jit.test_tracer.TestMixTracingScripting) ... ok (0.070s)
2022-11-23T01:28:41.3878392Z   test_traced_module_implements_interface (jit.test_tracer.TestMixTracingScripting) ... ok (0.061s)
2022-11-23T01:28:41.3878551Z   test_tracing_indexing (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s)
2022-11-23T01:28:41.3878705Z   test_tracing_slicing (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s)
2022-11-23T01:28:41.3878863Z   test_alexnet (jit.test_models.TestModels) ... ok (0.902s)
2022-11-23T01:28:41.3879639Z   test_dcgan_models (jit.test_models.TestModels) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79142 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:28:41.3879788Z   test_dcgan_models_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s)
2022-11-23T01:28:41.3879906Z   test_mnist (jit.test_models.TestModels) ... ok (0.339s)
2022-11-23T01:28:41.3880028Z   test_mnist_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s)
2022-11-23T01:28:41.3880193Z   test_mnist_training_leaks_no_memory_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.001s)
2022-11-23T01:28:41.3880388Z   test_neural_style (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:41.3880534Z   test_neural_style_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s)
2022-11-23T01:28:41.3880676Z   test_reinforcement_learning (jit.test_models.TestModels) ... ok (0.038s)
2022-11-23T01:28:41.3880836Z   test_reinforcement_learning_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s)
2022-11-23T01:28:41.3881049Z   test_script_module_script_resnet (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2022-11-23T01:28:41.3881259Z   test_script_module_trace_resnet18 (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:41.3881444Z   test_snli (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:41.3881568Z   test_snli_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s)
2022-11-23T01:28:41.3881699Z   test_snli_quantized (jit.test_models.TestModels) ... ok (0.619s)
2022-11-23T01:28:41.3881901Z   test_super_resolution (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:41.3882057Z   test_super_resolution_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s)
2022-11-23T01:28:41.3882205Z   test_time_sequence_prediction (jit.test_models.TestModels) ... ok (0.118s)
2022-11-23T01:28:41.3882321Z   test_vae (jit.test_models.TestModels) ... ok (0.162s)
2022-11-23T01:28:41.3882453Z   test_vae_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s)
2022-11-23T01:28:41.3882581Z   test_vae_quantized (jit.test_models.TestModels) ... ok (0.085s)
2022-11-23T01:28:41.3882716Z   test_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
2022-11-23T01:28:41.3882851Z Tests that customized state dict methods are in effect ... ok (0.031s)
2022-11-23T01:28:41.3882995Z   test_default_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
2022-11-23T01:28:41.3883146Z Tests that default state dict methods are automatically available ... ok (0.024s)
2022-11-23T01:28:41.3883306Z   test_submodule_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs)
2022-11-23T01:28:41.3883490Z Tests that customized state dict methods on submodules are in effect ... ok (0.039s)
2022-11-23T01:28:41.3883672Z   test_custom_container_forward (jit.test_module_containers.TestModuleContainers) ... ok (0.069s)
2022-11-23T01:28:41.3883857Z   test_empty_dict_override_contains (jit.test_module_containers.TestModuleContainers) ... ok (0.020s)
2022-11-23T01:28:41.3884036Z   test_module_inplace_construct (jit.test_module_containers.TestModuleContainers) ... ok (0.018s)
2022-11-23T01:28:41.3884214Z   test_module_interface_special_methods (jit.test_module_containers.TestModuleContainers) ... ok (0.051s)
2022-11-23T01:28:41.3884383Z   test_module_properties (jit.test_module_containers.TestModuleContainers) ... ok (0.030s)
2022-11-23T01:28:41.3884549Z   test_moduledict (jit.test_module_containers.TestModuleContainers) ... ok (0.182s)
2022-11-23T01:28:41.3884748Z   test_moduledict_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.032s)
2022-11-23T01:28:41.3884926Z   test_moduledict_keyerror (jit.test_module_containers.TestModuleContainers) ... ok (0.011s)
2022-11-23T01:28:41.3885108Z   test_normal_list_attribute_with_modules_error (jit.test_module_containers.TestModuleContainers)
2022-11-23T01:28:41.3885257Z Test that an attempt to script a module with a regular list attribute ... ok (0.003s)
2022-11-23T01:28:41.3885443Z   test_parameterdict_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.014s)
2022-11-23T01:28:41.3885615Z   test_parameterlist_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.041s)
2022-11-23T01:28:41.3885797Z   test_parameterlist_script_iter (jit.test_module_containers.TestModuleContainers) ... ok (0.058s)
2022-11-23T01:28:41.3885979Z   test_script_module_list_sequential (jit.test_module_containers.TestModuleContainers) ... ok (0.022s)
2022-11-23T01:28:41.3886157Z   test_script_modulelist_index (jit.test_module_containers.TestModuleContainers) ... ok (0.100s)
2022-11-23T01:28:41.3886346Z   test_sequential_intermediary_types (jit.test_module_containers.TestModuleContainers) ... ok (0.025s)
2022-11-23T01:28:41.3886528Z   test_special_method_with_override (jit.test_module_containers.TestModuleContainers) ... ok (0.024s)
2022-11-23T01:28:41.3886687Z   test_typed_module_dict (jit.test_module_containers.TestModuleContainers)
2022-11-23T01:28:41.3886843Z Test that a type annotation can be provided for a ModuleDict that allows ... ok (0.059s)
2022-11-23T01:28:41.3887002Z   test_typed_module_list (jit.test_module_containers.TestModuleContainers)
2022-11-23T01:28:41.3887145Z Test that a type annotation can be provided for a ModuleList that allows ... ok (0.051s)
2022-11-23T01:28:41.3887346Z   test_freeze_module_with_inplace_mutation_in_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.022s)
2022-11-23T01:28:41.3887529Z   test_freeze_module_with_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.020s)
2022-11-23T01:28:41.3887720Z   test_freeze_module_with_interface_and_fork (jit.test_module_interface.TestModuleInterface) ... ok (0.027s)
2022-11-23T01:28:41.3887907Z   test_freeze_module_with_mutated_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.024s)
2022-11-23T01:28:41.3888099Z   test_freeze_module_with_setattr_in_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.021s)
2022-11-23T01:28:41.3888270Z   test_module_apis_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.016s)
2022-11-23T01:28:41.3888434Z   test_module_doc_string (jit.test_module_interface.TestModuleInterface) ... ok (0.021s)
2022-11-23T01:28:41.3888596Z   test_module_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.090s)
2022-11-23T01:28:41.3888763Z   test_module_interface_inheritance (jit.test_module_interface.TestModuleInterface) ... ok (0.001s)
2022-11-23T01:28:41.3888942Z   test_module_interface_subtype (jit.test_module_interface.TestModuleInterface) ... ok (0.167s)
2022-11-23T01:28:41.3889130Z   test_module_swap (jit.test_module_interface.TestModuleInterface) ... ok (0.022s)
2022-11-23T01:28:41.3889309Z   test_module_swap_no_lazy_compile (jit.test_module_interface.TestModuleInterface) ... ok (0.025s)
2022-11-23T01:28:41.3889488Z   test_module_swap_no_module_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.016s)
2022-11-23T01:28:41.3889658Z   test_module_swap_wrong_module (jit.test_module_interface.TestModuleInterface) ... ok (0.020s)
2022-11-23T01:28:41.3889835Z   test_not_submodule_interface_call (jit.test_module_interface.TestModuleInterface) ... ok (0.011s)
2022-11-23T01:28:41.3890015Z   test_script_module_as_interface_swap (jit.test_module_interface.TestModuleInterface) ... ok (0.023s)
2022-11-23T01:28:41.3890147Z   test_script_module_with_constants_list (jit.test_modules.TestModules)
2022-11-23T01:28:41.3890282Z Test that a module that has __constants__ set to something ... ok (0.009s)
2022-11-23T01:28:41.3890465Z   test_namedtuple (jit.test_list_dict.TestNamedTuple) ... ok (0.004s)
2022-11-23T01:28:41.3890612Z   test_namedtuple_as_attr (jit.test_list_dict.TestNamedTuple) ... ok (0.005s)
2022-11-23T01:28:41.3890758Z   test_namedtuple_constant (jit.test_list_dict.TestNamedTuple) ... ok (0.003s)
2022-11-23T01:28:41.3890910Z   test_namedtuple_kwarg_construct (jit.test_list_dict.TestNamedTuple) ... ok (0.003s)
2022-11-23T01:28:41.3935233Z   test_namedtuple_lower (jit.test_list_dict.TestNamedTuple) ... ok (0.003s)
2022-11-23T01:28:41.3935525Z   test_namedtuple_resolution (jit.test_list_dict.TestNamedTuple) ... ok (0.004s)
2022-11-23T01:28:41.3935730Z   test_namedtuple_serialization (jit.test_list_dict.TestNamedTuple) ... skip: broken while these tests were not in CI (0.001s)
2022-11-23T01:28:41.3935873Z   test_namedtuple_slice_unpack (jit.test_list_dict.TestNamedTuple) ... ok (0.003s)
2022-11-23T01:28:41.3936028Z   test_namedtuple_type_annotation (jit.test_list_dict.TestNamedTuple) ... ok (0.003s)
2022-11-23T01:28:41.3936188Z   test_namedtuple_wrong_types (jit.test_list_dict.TestNamedTuple) ... ok (0.002s)
2022-11-23T01:28:41.3936334Z   test_return_named_tuple (jit.test_list_dict.TestNamedTuple) ... ok (0.004s)
2022-11-23T01:28:41.3936951Z   test_adaptive_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:41.3937031Z   t = torch.tensor(t)
2022-11-23T01:28:41.3937097Z ok (0.289s)
2022-11-23T01:28:41.3937247Z   test_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (1.019s)
2022-11-23T01:28:41.3937385Z   test_cat (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.053s)
2022-11-23T01:28:41.3937527Z   test_compile_spec_santiy (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.008s)
2022-11-23T01:28:41.3937669Z   test_conv2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (3.274s)
2022-11-23T01:28:41.3937824Z   test_conv2d_transpose (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.515s)
2022-11-23T01:28:41.3937970Z   test_dequantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.011s)
2022-11-23T01:28:41.3938111Z   test_detach (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.021s)
2022-11-23T01:28:41.3938253Z   test_flatten (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.095s)
2022-11-23T01:28:41.3938395Z   test_hardtanh (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.026s)
2022-11-23T01:28:41.3938532Z   test_linear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.024s)
2022-11-23T01:28:41.3939096Z   test_log_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1427: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument.
2022-11-23T01:28:41.3939195Z   return forward_call(*input, **kwargs)
2022-11-23T01:28:41.3939755Z /opt/conda/lib/python3.10/site-packages/torch/jit/_trace.py:460: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument.
2022-11-23T01:28:41.3939868Z   outs = wrap_retval(mod(*_clone_inputs(inputs)))
2022-11-23T01:28:41.3939934Z ok (0.021s)
2022-11-23T01:28:41.3940079Z   test_max_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.508s)
2022-11-23T01:28:41.3940215Z   test_mean (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.066s)
2022-11-23T01:28:41.3940360Z   test_multi_output (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.012s)
2022-11-23T01:28:41.3940498Z   test_pointwise_binary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.098s)
2022-11-23T01:28:41.3940655Z   test_pointwise_binary_const (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.045s)
2022-11-23T01:28:41.3940804Z   test_pointwise_unary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.042s)
2022-11-23T01:28:41.3940993Z   test_prelu (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.032s)
2022-11-23T01:28:41.3941133Z   test_qadd (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.130s)
2022-11-23T01:28:41.3941275Z   test_qlinear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.057s)
2022-11-23T01:28:41.3941416Z   test_quantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.015s)
2022-11-23T01:28:41.3941557Z   test_reshape (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.026s)
2022-11-23T01:28:41.3941690Z   test_seblock_mul (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.011s)
2022-11-23T01:28:41.3941829Z   test_slice (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.040s)
2022-11-23T01:28:41.3942322Z   test_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1427: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
2022-11-23T01:28:41.3942420Z   return forward_call(*input, **kwargs)
2022-11-23T01:28:41.3942804Z /opt/conda/lib/python3.10/site-packages/torch/jit/_trace.py:460: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
2022-11-23T01:28:41.3942916Z   outs = wrap_retval(mod(*_clone_inputs(inputs)))
2022-11-23T01:28:41.3942982Z ok (0.031s)
2022-11-23T01:28:41.3943128Z   test_tensor_input (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.017s)
2022-11-23T01:28:41.3943260Z   test_to (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.029s)
2022-11-23T01:28:41.3943390Z   test_unsqueeze (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.050s)
2022-11-23T01:28:41.3943545Z   test_upsample_nearest2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.369s)
2022-11-23T01:28:41.3943715Z   test_op_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok (0.043s)
2022-11-23T01:28:41.3943904Z   test_registered_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok (0.035s)
2022-11-23T01:28:41.3944169Z   test_fuse_activation_with_pack_ops_linear_conv2d_1 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.028s)
2022-11-23T01:28:41.3944429Z   test_fuse_activation_with_pack_ops_linear_conv2d_2 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.028s)
2022-11-23T01:28:41.3944688Z   test_fuse_activation_with_pack_ops_linear_conv2d_3 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.027s)
2022-11-23T01:28:41.3944938Z   test_fuse_activation_with_pack_ops_linear_conv2d_4 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.027s)
2022-11-23T01:28:41.3945204Z   test_insert_pre_packed_linear_before_inline_and_conv_2d_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.009s)
2022-11-23T01:28:41.3945452Z   test_insert_pre_packed_linear_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.010s)
2022-11-23T01:28:41.3945710Z   test_replace_conv1d_with_conv2d (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.006s)
2022-11-23T01:28:41.3945820Z   test_any (jit.test_pdt.TestPDT) ... ok (0.011s)
2022-11-23T01:28:41.3945953Z   test_class_as_profiled_types (jit.test_pdt.TestPDT) ... ok (0.017s)
2022-11-23T01:28:41.3946073Z   test_class_methods (jit.test_pdt.TestPDT) ... ok (0.008s)
2022-11-23T01:28:41.3946216Z   test_class_with_args_as_profiled_types (jit.test_pdt.TestPDT) ... ok (0.015s)
2022-11-23T01:28:41.3946350Z   test_class_with_multiple_methods (jit.test_pdt.TestPDT) ... ok (0.009s)
2022-11-23T01:28:41.3946480Z   test_fx_tracing_with_typing (jit.test_pdt.TestPDT) ... ok (0.007s)
2022-11-23T01:28:41.3946619Z   test_multiple_class_with_same_method (jit.test_pdt.TestPDT) ... ok (0.015s)
2022-11-23T01:28:41.3946771Z   test_nested_function_in_forward (jit.test_pdt.TestPDT) ... ok (0.008s)
2022-11-23T01:28:41.3946899Z   test_nested_list_and_tuple (jit.test_pdt.TestPDT) ... ok (0.015s)
2022-11-23T01:28:41.3947022Z   test_nested_nn_module_class (jit.test_pdt.TestPDT) ... ok (0.010s)
2022-11-23T01:28:41.3947162Z   test_nested_nn_module_class_with_args (jit.test_pdt.TestPDT) ... ok (0.011s)
2022-11-23T01:28:41.3947276Z   test_nn_module (jit.test_pdt.TestPDT) ... ok (0.007s)
2022-11-23T01:28:41.3947416Z   test_nn_module_with_export_function (jit.test_pdt.TestPDT) ... ok (0.009s)
2022-11-23T01:28:41.3947540Z   test_nn_parameter_as_arg (jit.test_pdt.TestPDT) ... ok (0.007s)
2022-11-23T01:28:41.3947677Z   test_nonetype_as_optional_of_type (jit.test_pdt.TestPDT) ... ok (0.007s)
2022-11-23T01:28:41.3947771Z   test_pdt (jit.test_pdt.TestPDT) ... ok (0.018s)
2022-11-23T01:28:41.3947884Z   test_pdt_dict (jit.test_pdt.TestPDT) ... ok (0.006s)
2022-11-23T01:28:41.3948007Z   test_pdt_list_and_tuple (jit.test_pdt.TestPDT) ... ok (0.008s)
2022-11-23T01:28:41.3948178Z   test_scriptable (jit.test_parametrization.TestParametrization) ... ok (0.032s)
2022-11-23T01:28:41.3948334Z   test_traceable (jit.test_parametrization.TestParametrization)
2022-11-23T01:28:41.3948479Z Test the jit scripting and tracing of a parametrized model. ... ok (0.034s)
2022-11-23T01:28:41.3948622Z   test_conv_dim_folding (jit.test_peephole.TestPeephole) ... ok (0.061s)
2022-11-23T01:28:41.3948768Z   test_integer_refinement (jit.test_peephole.TestPeephole) ... ok (0.017s)
2022-11-23T01:28:41.3948894Z   test_noop_peephole (jit.test_peephole.TestPeephole) ... ok (0.015s)
2022-11-23T01:28:41.3949034Z   test_normalized_is_op (jit.test_peephole.TestPeephole) ... ok (0.004s)
2022-11-23T01:28:41.3949181Z   test_normalized_isnot_op (jit.test_peephole.TestPeephole) ... ok (0.004s)
2022-11-23T01:28:41.3949320Z   test_normalized_rsub (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T01:28:41.3949483Z   test_optimize_out_comparison_same_value (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T01:28:41.3949617Z   test_peephole (jit.test_peephole.TestPeephole) ... ok (0.008s)
2022-11-23T01:28:41.3949762Z   test_peephole_add_zero (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3949902Z   test_peephole_arith (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T01:28:41.3950059Z   test_peephole_cuda (jit.test_peephole.TestPeephole) ... skip: cpp tests require CUDA (0.001s)
2022-11-23T01:28:41.3950245Z   test_peephole_dict_getitem_no_optimization_dict_modified (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3950429Z   test_peephole_dict_getitem_no_optimization_get_input_arg (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3950622Z   test_peephole_dict_getitem_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok (0.002s)
2022-11-23T01:28:41.3950803Z   test_peephole_dict_getitem_no_optimization_missing_key (jit.test_peephole.TestPeephole) ... ok (0.002s)
2022-11-23T01:28:41.3950994Z   test_peephole_dict_getitem_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok (0.002s)
2022-11-23T01:28:41.3951206Z   test_peephole_dict_getitem_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3951364Z   test_peephole_dict_getitem_simple (jit.test_peephole.TestPeephole) ... ok (0.008s)
2022-11-23T01:28:41.3951505Z   test_peephole_dict_len (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3951677Z   test_peephole_dict_len_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3951859Z   test_peephole_dict_len_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3952042Z   test_peephole_dict_len_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3952184Z   test_peephole_dynamic (jit.test_peephole.TestPeephole) ... ok (0.002s)
2022-11-23T01:28:41.3952326Z   test_peephole_int (jit.test_peephole.TestPeephole) ... ok (0.002s)
2022-11-23T01:28:41.3952495Z   test_peephole_len_list (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T01:28:41.3952638Z   test_peephole_list_len (jit.test_peephole.TestPeephole) ... ok (0.039s)
2022-11-23T01:28:41.3952778Z   test_peephole_list_ops (jit.test_peephole.TestPeephole) ... ok (0.012s)
2022-11-23T01:28:41.3952920Z   test_peephole_no_output_aliasing (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T01:28:41.3953070Z   test_peephole_optional_refine (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3953226Z   test_peephole_slice_all_three_args (jit.test_peephole.TestPeephole) ... ok (0.004s)
2022-11-23T01:28:41.3953381Z   test_peephole_slice_one_empty_arg (jit.test_peephole.TestPeephole) ... ok (0.011s)
2022-11-23T01:28:41.3953566Z   test_peephole_slice_optimization_not_applied_list_modified (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3953862Z   test_peephole_slice_optimization_not_applied_non_const_args (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3954020Z   test_peephole_slice_two_empty_args (jit.test_peephole.TestPeephole) ... ok (0.012s)
2022-11-23T01:28:41.3954175Z   test_peephole_type_refinements (jit.test_peephole.TestPeephole) ... ok (0.011s)
2022-11-23T01:28:41.3954320Z   test_peephole_with_non_output_writes (jit.test_peephole.TestPeephole) ... ok (0.006s)
2022-11-23T01:28:41.3954465Z   test_peephole_with_writes (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T01:28:41.3954613Z   test_refine_integer_values (jit.test_peephole.TestPeephole) ... ok (0.003s)
2022-11-23T01:28:41.3954768Z   test_short_circuit_optimization (jit.test_peephole.TestPeephole) ... ok (0.005s)
2022-11-23T01:28:41.3954893Z   test_version (__main__.TestProducerVersion) ... ok (0.001s)
2022-11-23T01:28:41.3955034Z   test_aliasing_merge (jit.test_profiler.TestProfiler) ... ok (0.046s)
2022-11-23T01:28:41.3955187Z   test_autograd_fallback_graph (jit.test_profiler.TestProfiler) ... ok (0.041s)
2022-11-23T01:28:41.3955346Z   test_fallback_graph_not_specialized (jit.test_profiler.TestProfiler) ... ok (0.023s)
2022-11-23T01:28:41.3955475Z   test_iterative_fusion (jit.test_profiler.TestProfiler) ... ok (0.044s)
2022-11-23T01:28:41.3955619Z   test_local_fusion_strategy (jit.test_profiler.TestProfiler) ... ok (0.025s)
2022-11-23T01:28:41.3955763Z   test_not_fusing_scalar_ops (jit.test_profiler.TestProfiler) ... ok (0.002s)
2022-11-23T01:28:41.3955913Z   test_not_optimizing_property (jit.test_profiler.TestProfiler) ... ok (0.024s)
2022-11-23T01:28:41.3956058Z   test_specialize_backward (jit.test_profiler.TestProfiler) ... ok (0.094s)
2022-11-23T01:28:41.3956199Z   test_specialized_types (jit.test_profiler.TestProfiler) ... ok (0.022s)
2022-11-23T01:28:41.3956336Z   test_tensor_constant (jit.test_profiler.TestProfiler) ... ok (0.023s)
2022-11-23T01:28:41.3956499Z   test_tensor_type_not_determined_by_inputs (jit.test_profiler.TestProfiler) ... ok (0.051s)
2022-11-23T01:28:41.3956631Z   test_use_not_profiled (jit.test_profiler.TestProfiler) ... ok (0.025s)
2022-11-23T01:28:41.3956784Z   test_add_input (jit.test_python_bindings.TestPythonBindings) ... ok (0.001s)
2022-11-23T01:28:41.3956968Z   test_aliasdb (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s)
2022-11-23T01:28:41.3957129Z   test_canonicalize (jit.test_python_bindings.TestPythonBindings) ... ok (0.001s)
2022-11-23T01:28:41.3957291Z   test_cu_create_function (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s)
2022-11-23T01:28:41.3957451Z   test_cu_get_functions (jit.test_python_bindings.TestPythonBindings) ... ok (0.004s)
2022-11-23T01:28:41.3957606Z   test_graph_create (jit.test_python_bindings.TestPythonBindings) ... ok (0.002s)
2022-11-23T01:28:41.3957778Z   test_graph_iterator_keepalive (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s)
2022-11-23T01:28:41.3957935Z   test_invalidation (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s)
2022-11-23T01:28:41.3958071Z   test_add (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.007s)
2022-11-23T01:28:41.3958264Z   test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.022s)
2022-11-23T01:28:41.3958430Z   test_advancedindex (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.022s)
2022-11-23T01:28:41.3958584Z   test_gather (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.004s)
2022-11-23T01:28:41.3958735Z   test_index (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.027s)
2022-11-23T01:28:41.3958896Z   test_index_ellipses (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.094s)
2022-11-23T01:28:41.3959041Z   test_inf (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s)
2022-11-23T01:28:41.3959197Z   test_matmul_py3 (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.007s)
2022-11-23T01:28:41.3959330Z   test_mul (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s)
2022-11-23T01:28:41.3959475Z   test_pow (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.035s)
2022-11-23T01:28:41.3959628Z   test_random (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.003s)
2022-11-23T01:28:41.3959778Z   test_slice (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.015s)
2022-11-23T01:28:41.3959948Z   test_stepped_tuple_slicing (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s)
2022-11-23T01:28:41.3960104Z   test_str_to_float (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s)
2022-11-23T01:28:41.3960253Z   test_triple (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.005s)
2022-11-23T01:28:41.3960387Z   test_param_strides (jit.test_python_ir.TestPythonIr) ... ok (0.004s)
2022-11-23T01:28:41.3960530Z   test_attributes (jit.test_recursive_script.TestRecursiveScript) ... ok (0.165s)
2022-11-23T01:28:41.3960688Z   test_class_compile (jit.test_recursive_script.TestRecursiveScript) ... ok (0.020s)
2022-11-23T01:28:41.3960850Z   test_constants_with_final (jit.test_recursive_script.TestRecursiveScript) ... ok (0.019s)
2022-11-23T01:28:41.3960999Z   test_dir (jit.test_recursive_script.TestRecursiveScript) ... ok (0.045s)
2022-11-23T01:28:41.3961154Z   test_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s)
2022-11-23T01:28:41.3961323Z   test_error_stack_annotation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s)
2022-11-23T01:28:41.3961484Z   test_error_stack_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s)
2022-11-23T01:28:41.3961647Z   test_error_stack_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.007s)
2022-11-23T01:28:41.3961810Z   test_failed_function_compilation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.003s)
2022-11-23T01:28:41.3961993Z   test_function_attribute_in_submodule (jit.test_recursive_script.TestRecursiveScript) ... ok (0.019s)
2022-11-23T01:28:41.3962153Z   test_ignore_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s)
2022-11-23T01:28:41.3962316Z   test_inferred_nonetype (jit.test_recursive_script.TestRecursiveScript) ... ok (0.007s)
2022-11-23T01:28:41.3962469Z   test_init_error (jit.test_recursive_script.TestRecursiveScript) ... ok (0.001s)
2022-11-23T01:28:41.3962662Z   test_inner_traced_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.018s)
2022-11-23T01:28:41.3962825Z   test_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.048s)
2022-11-23T01:28:41.3962982Z   test_method_call (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s)
2022-11-23T01:28:41.3963139Z   test_module_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.014s)
2022-11-23T01:28:41.3963295Z   test_module_function_export (jit.test_recursive_script.TestRecursiveScript) ... ok (0.015s)
2022-11-23T01:28:41.3963452Z   test_module_name (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s)
2022-11-23T01:28:41.3963605Z   test_module_repr (jit.test_recursive_script.TestRecursiveScript) ... ok (0.020s)
2022-11-23T01:28:41.3963766Z   test_optional_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.020s)
2022-11-23T01:28:41.3963980Z   test_override_instance_method_ignore (jit.test_recursive_script.TestRecursiveScript) ... ok (0.003s)
2022-11-23T01:28:41.3964158Z   test_prepare_scriptable_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s)
2022-11-23T01:28:41.3964331Z   test_prepare_scriptable_cycle (jit.test_recursive_script.TestRecursiveScript) ... ok (0.003s)
2022-11-23T01:28:41.3964518Z   test_prepare_scriptable_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.050s)
2022-11-23T01:28:41.3964678Z   test_python_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.006s)
2022-11-23T01:28:41.3964845Z   test_repeated_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s)
2022-11-23T01:28:41.3965006Z   test_script_after_eval (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s)
2022-11-23T01:28:41.3965162Z   test_script_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s)
2022-11-23T01:28:41.3965336Z   test_script_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.016s)
2022-11-23T01:28:41.3965492Z   test_script_loaded_module (jit.test_recursive_script.TestRecursiveScript)
2022-11-23T01:28:41.3965634Z Test that we can hold a loaded ScriptModule as a submodule. ... ok (0.013s)
2022-11-23T01:28:41.3965789Z   test_aten_inplace (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.016s)
2022-11-23T01:28:41.3965942Z   test_common_pytorch_list_ops (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.028s)
2022-11-23T01:28:41.3966093Z   test_if_output (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.004s)
2022-11-23T01:28:41.3966248Z   test_if_output_fail (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.006s)
2022-11-23T01:28:41.3966410Z   test_list_indexing_removal (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.015s)
2022-11-23T01:28:41.3966567Z   test_lists_append (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.005s)
2022-11-23T01:28:41.3966717Z   test_lists_insert (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.004s)
2022-11-23T01:28:41.3966884Z   test_special_mapped_op (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.010s)
2022-11-23T01:28:41.3967016Z   test_different_functions (jit.test_save_load.TestSaveLoad)
2022-11-23T01:28:41.3967148Z Exercise the situation where we have the same qualified name ... ok (0.023s)
2022-11-23T01:28:41.3967269Z   test_different_interfaces (jit.test_save_load.TestSaveLoad)
2022-11-23T01:28:41.3967400Z Exercise the situation where we have the same qualified name ... ok (0.050s)
2022-11-23T01:28:41.3967526Z   test_different_modules (jit.test_save_load.TestSaveLoad)
2022-11-23T01:28:41.3967661Z Exercise the situation where we have the same qualified name ... ok (0.035s)
2022-11-23T01:28:41.3967798Z   test_many_collisions (jit.test_save_load.TestSaveLoad) ... ok (0.072s)
2022-11-23T01:28:41.3967927Z   test_save_load_meta_tensors (jit.test_save_load.TestSaveLoad)
2022-11-23T01:28:41.3968086Z Check that parameters, buffers, and submodules are the same after loading ... ok (0.019s)
2022-11-23T01:28:41.3968233Z   test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoad)
2022-11-23T01:28:41.3968407Z Check that parameters, buffers, and submodules are the same after loading. ... ok (0.008s)
2022-11-23T01:28:41.3968555Z   test_save_load_using_pathlib (jit.test_save_load.TestSaveLoad) ... ok (0.006s)
2022-11-23T01:28:41.3968703Z   test_save_load_with_extra_files (jit.test_save_load.TestSaveLoad) ... ok (0.012s)
2022-11-23T01:28:41.3968840Z   test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoad)
2022-11-23T01:28:41.3968986Z Even if a NamedTuple is only used as an input argument, saving and ... ok (0.007s)
2022-11-23T01:28:41.3969124Z   test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoad)
2022-11-23T01:28:41.3969272Z Even if a NamedTuple is only used as an output argument, saving and ... ok (0.007s)
2022-11-23T01:28:41.3969410Z   test_save_nonexit_file (jit.test_save_load.TestSaveLoad) ... ok (0.007s)
2022-11-23T01:28:41.3969590Z   test_different_functions (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T01:28:41.3969791Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T01:28:41.3969942Z   test_different_interfaces (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T01:28:41.3970134Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T01:28:41.3970272Z   test_different_modules (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T01:28:41.3970457Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T01:28:41.3970663Z   test_many_collisions (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.002s)
2022-11-23T01:28:41.3970878Z   test_module_info_flatbuffer (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T01:28:41.3971043Z   test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T01:28:41.3971240Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.001s)
2022-11-23T01:28:41.3971456Z   test_save_load_using_pathlib (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.000s)
2022-11-23T01:28:41.3971605Z   test_save_load_with_extra_files (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T01:28:41.3971810Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.000s)
2022-11-23T01:28:41.3971959Z   test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T01:28:41.3972153Z Even if a NamedTuple is only used as an input argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.000s)
2022-11-23T01:28:41.3972307Z   test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoadFlatbuffer)
2022-11-23T01:28:41.3972500Z Even if a NamedTuple is only used as an output argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.000s)
2022-11-23T01:28:41.3972732Z   test_versioned_div_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... Falsifying explicit example: test_versioned_div_scalar(
2022-11-23T01:28:41.3972917Z     self=<jit.test_save_load_for_op_version.TestSaveLoadForOpVersion testMethod=test_versioned_div_scalar>,
2022-11-23T01:28:41.3972997Z     sample_input=(2, 3, 2.0, 3.0),
2022-11-23T01:28:41.3973053Z )
2022-11-23T01:28:41.3973140Z skip: Failed to load fixture! (0.119s)
2022-11-23T01:28:41.3973332Z   test_versioned_div_scalar_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.427s)
2022-11-23T01:28:41.3973530Z   test_versioned_div_scalar_reciprocal (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.104s)
2022-11-23T01:28:41.3973743Z   test_versioned_div_scalar_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.006s)
2022-11-23T01:28:41.3973925Z   test_versioned_div_tensor (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.087s)
2022-11-23T01:28:41.3974108Z   test_versioned_div_tensor_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.549s)
2022-11-23T01:28:41.3974290Z   test_versioned_div_tensor_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (1.200s)
2022-11-23T01:28:41.3974467Z   test_versioned_linspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.011s)
2022-11-23T01:28:41.3974650Z   test_versioned_linspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.008s)
2022-11-23T01:28:41.3974826Z   test_versioned_logspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.009s)
2022-11-23T01:28:41.3975036Z   test_versioned_logspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.008s)
2022-11-23T01:28:41.3975137Z   test_add_out (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3975263Z   test_add_tuple_different_types (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3975382Z   test_add_tuple_non_optional (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3975492Z   test_add_tuple_optional (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3975607Z   test_add_tuple_same_types (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3975694Z   test_addmm_grad (__main__.TestScript)
2022-11-23T01:28:41.3975792Z This test checks several things: ... ok (0.005s)
2022-11-23T01:28:41.3975923Z   test_alias_covariant_type_containers (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3976019Z   test_all (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3976133Z   test_annot_ast_mypy_fn (__main__.TestScript) ... ok (0.021s)
2022-11-23T01:28:41.3976244Z   test_annot_ast_mypy_method (__main__.TestScript) ... ok (0.034s)
2022-11-23T01:28:41.3976356Z   test_annot_ast_py3_fn (__main__.TestScript) ... ok (0.022s)
2022-11-23T01:28:41.3976593Z   test_annot_ast_py3_method (__main__.TestScript) ... ok (0.038s)
2022-11-23T01:28:41.3976707Z   test_annot_string_mypy_fn (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3976829Z   test_annot_string_mypy_method (__main__.TestScript) ... ok (0.025s)
2022-11-23T01:28:41.3976941Z   test_annot_string_py3_fn (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3977061Z   test_annot_string_py3_method (__main__.TestScript) ... ok (0.025s)
2022-11-23T01:28:41.3977173Z   test_annotated_script_fn (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3977299Z   test_annotated_script_fn_arg_mismatch (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3977434Z   test_annotated_script_fn_return_mismatch (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.3977558Z   test_annotated_script_method (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3977671Z   test_annoying_doubles (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3977767Z   test_any (__main__.TestScript) ... ok (0.020s)
2022-11-23T01:28:41.3977897Z   test_assert_is_scripting_metacompile (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3978026Z   test_assertion_optional_refinement (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3978144Z   test_attr_module_constants (__main__.TestScript) ... ok (0.022s)
2022-11-23T01:28:41.3978250Z   test_attr_qscheme_script (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3978363Z   test_attribute_in_init (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3978484Z   test_attribute_serialization (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.3978599Z   test_attribute_unpickling (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.3978711Z   test_augmented_assign (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3978840Z   test_autodiff_complex (__main__.TestScript) ... skip: no CUDA (0.001s)
2022-11-23T01:28:41.3979001Z   test_backend_cudnn_enabled (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3979125Z   test_bad_multiline_annotations (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3979255Z   test_bailout_loop_carried_deps_name_clash (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3979384Z   test_bailout_loop_counter_transition (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.3979566Z   test_batch_norm_inference_backward_cuda (__main__.TestScript) ... skip: running tests on cuda to verify cudnn fix (0.002s)
2022-11-23T01:28:41.3979682Z   test_batchnorm_fuser_cpu (__main__.TestScript) ... ok (0.204s)
2022-11-23T01:28:41.3979795Z   test_big_float_literals (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3979906Z   test_big_int_literals (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3980015Z   test_binary_op_shape (__main__.TestScript) ... ok (0.219s)
2022-11-23T01:28:41.3980158Z   test_bitwise_ops (__main__.TestScript) ... ok (0.021s)
2022-11-23T01:28:41.3980275Z   test_block_input_grad_in_loop (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3980395Z   test_bool_augassign_bitwise_and (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3980516Z   test_bool_augassign_bitwise_or (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3980637Z   test_bool_augassign_bitwise_xor (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3980745Z   test_bool_dispatch (__main__.TestScript) ... ok (0.026s)
2022-11-23T01:28:41.3980882Z   test_boolean_literal_constant_metacompile (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.3980997Z   test_break_continue_error (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3981104Z   test_breaks_continues (__main__.TestScript) ... ok (0.114s)
2022-11-23T01:28:41.3981210Z   test_builtin_args (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.3981365Z   test_builtin_args_fails (__main__.TestScript) ... You have not run this instance of FileCheck!
2022-11-23T01:28:41.3981432Z FileCheck checks:
2022-11-23T01:28:41.3981775Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[List[int], int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T01:28:41.3981897Z   File "/var/lib/jenkins/workspace/test/test_jit.py", line 10806
2022-11-23T01:28:41.3981971Z             @torch.jit.script
2022-11-23T01:28:41.3982035Z             def f6(a):
2022-11-23T01:28:41.3982108Z                 a.expand(size=[3, [4]])
2022-11-23T01:28:41.3982262Z                               ~~~~~~ <--- HERE
2022-11-23T01:28:41.3982343Z  (function emitListLiteral)
2022-11-23T01:28:41.3982405Z ok (0.006s)
2022-11-23T01:28:41.3982531Z   test_builtin_function_attributes (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.3982644Z   test_builtin_use_as_value (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.3982746Z   test_call_ge (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3982875Z   test_call_python_fn_from_script_fn (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3983002Z   test_call_python_fn_from_script_module (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3983131Z   test_call_python_fn_from_traced_module (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3983257Z   test_call_python_fn_from_tracing_fn (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3983384Z   test_call_python_mod_from_script_fn (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3983516Z   test_call_python_mod_from_script_module (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3983648Z   test_call_python_mod_from_traced_module (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.3983776Z   test_call_python_mod_from_tracing_fn (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.3983904Z   test_call_script_fn_from_script_fn (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3984055Z   test_call_script_fn_from_script_module (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3984182Z   test_call_script_fn_from_tracing_fn (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.3984309Z   test_call_script_mod_from_script_fn (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3984437Z   test_call_script_mod_from_script_module (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.3984598Z   test_call_script_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s)
2022-11-23T01:28:41.3984725Z   test_call_traced_fn_from_tracing_fn (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3984886Z   test_call_traced_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s)
2022-11-23T01:28:41.3985164Z   test_calls_in_type_annotations (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/__init__.py
2022-11-23T01:28:41.3985246Z ok (0.001s)
2022-11-23T01:28:41.3985373Z   test_canonicalize_control_outputs (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.3985561Z   test_cast (__main__.TestScript) ... skip: RuntimeError: VariableType::ID() not implemented (0.000s)
2022-11-23T01:28:41.3985660Z   test_cat (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.3985770Z   test_cat_lifts (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3985871Z   test_chr (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3985980Z   test_circular_dependency (__main__.TestScript)
2022-11-23T01:28:41.3986126Z https://github.com/pytorch/pytorch/issues/25871 ... ok (0.028s)
2022-11-23T01:28:41.3986235Z   test_class_as_attribute (__main__.TestScript) ... ok (0.443s)
2022-11-23T01:28:41.3986354Z   test_class_attribute (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3986484Z   test_class_attribute_in_script (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3986633Z   test_class_with_comment_at_lower_indentation (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3986741Z   test_code_with_constants (__main__.TestScript)
2022-11-23T01:28:41.3986917Z Check that the `code_with_constants` property correctly returns graph CONSTANTS in the ... ok (0.006s)
2022-11-23T01:28:41.3987034Z   test_code_with_constants_restore (__main__.TestScript)
2022-11-23T01:28:41.3987215Z Check that the `code_with_constants` property correctly works on restoration after save() + load() ... ok (0.008s)
2022-11-23T01:28:41.3987327Z   test_comment_ignore_indent (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3987455Z   test_compare_two_bool_inputs (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3987657Z   test_compile_module_with_constant (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:41.3987782Z   test_conditional_casting (__main__.TestScript) ... ok (0.044s)
2022-11-23T01:28:41.3987902Z   test_constant_as_attr (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3988044Z   test_constant_pooling_introduce_aliasing (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3988171Z   test_constant_pooling_none (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3988307Z   test_constant_pooling_same_identity (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3988414Z   test_context_manager (__main__.TestScript) ... ok (0.015s)
2022-11-23T01:28:41.3988525Z   test_conv_error (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.3988638Z   test_convert_base (__main__.TestScript) ... ok (0.021s)
2022-11-23T01:28:41.3988767Z   test_cpp_function_tensor_str (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3988889Z   test_cpp_module_iterator (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.3989006Z   test_desugar_module (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3989118Z   test_device_kwarg (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3989220Z   test_device_type (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3989361Z   test_device_type_cuda (__main__.TestScript) ... skip: Requires CUDA (0.000s)
2022-11-23T01:28:41.3989528Z   test_dir (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3989635Z   test_divmod (__main__.TestScript) ... ok (0.030s)
2022-11-23T01:28:41.3989796Z   test_dominated_bailout (__main__.TestScript) ... skip: bailouts are being deprecated (0.002s)
2022-11-23T01:28:41.3989910Z   test_dropout_eval (__main__.TestScript) ... ok (0.219s)
2022-11-23T01:28:41.3990021Z   test_dtype_attr (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3990139Z   test_dtype_op_shape (__main__.TestScript) ... ok (0.036s)
2022-11-23T01:28:41.3990243Z   test_dtype_op_shape2 (__main__.TestScript) ... ok (0.054s)
2022-11-23T01:28:41.3990366Z   test_early_return_closure (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3990490Z   test_early_return_fork_join (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.3990640Z   test_early_return_rewrite (__main__.TestScript) ... ok (0.020s)
2022-11-23T01:28:41.3990773Z   test_early_return_type_refinement (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3990897Z   test_early_returns_loops (__main__.TestScript) ... ok (0.035s)
2022-11-23T01:28:41.3991019Z   test_ellipsis_const_end (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3991138Z   test_ellipsis_const_mid (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3991257Z   test_ellipsis_const_mid_select (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3991376Z   test_ellipsis_const_start (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3991491Z   test_ellipsis_end (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3991603Z   test_ellipsis_mid (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3991723Z   test_ellipsis_mid_select (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3991840Z   test_ellipsis_start (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3991975Z   test_embedding_renorm_grad_error (__main__.TestScript) ... ok (0.016s)
2022-11-23T01:28:41.3992092Z   test_empty_like_memory_format_bc (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3992211Z   test_empty_tuple_str (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.3992341Z   test_enumerate_modlist_range (__main__.TestScript) ... ok (0.031s)
2022-11-23T01:28:41.3992462Z   test_erase_number_types (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3992568Z   test_error (__main__.TestScript) ... ok (0.019s)
2022-11-23T01:28:41.3992687Z   test_error_stacktrace (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.3992819Z   test_error_stacktrace_interface (__main__.TestScript) ... ok (0.736s)
2022-11-23T01:28:41.3992933Z   test_eval_python (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3993047Z   test_exception_exits_closure (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3993182Z   test_exceptions_with_control_flow (__main__.TestScript) ... ok (0.034s)
2022-11-23T01:28:41.3993291Z   test_expand (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3993394Z   test_fibb (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.3993514Z   test_fibb_totally_better (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3993646Z   test_file_format_serialization (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.3993837Z   test_file_line_error (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3993956Z   test_file_line_error_class_defn (__main__.TestScript) ... ok (0.690s)
2022-11-23T01:28:41.3994073Z   test_file_line_graph (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.3994192Z   test_file_line_save_load (__main__.TestScript) ... ok (0.284s)
2022-11-23T01:28:41.3994310Z   test_file_line_string (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.3994425Z   test_file_line_trace (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3994536Z   test_filecheck (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3994654Z   test_filecheck_parse (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3994773Z   test_first_class_calls (__main__.TestScript) ... ok (0.413s)
2022-11-23T01:28:41.3994916Z   test_first_class_module (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3995026Z   test_floor_div (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3995137Z   test_floordiv (__main__.TestScript) ... ok (0.021s)
2022-11-23T01:28:41.3995242Z   test_for_else (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.3995353Z   test_for_in_dict (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.3995471Z   test_for_in_enumerate (__main__.TestScript) ... ok (0.030s)
2022-11-23T01:28:41.3995583Z   test_for_in_range (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3995687Z   test_for_in_range_ast (__main__.TestScript) ... ok (0.019s)
2022-11-23T01:28:41.3995809Z   test_for_in_range_dynamic (__main__.TestScript) ... ok (0.019s)
2022-11-23T01:28:41.3995928Z   test_for_in_range_if_ast (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.3996081Z   test_for_in_range_start_end (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3996213Z   test_for_in_range_start_end_step (__main__.TestScript) ... ok (0.016s)
2022-11-23T01:28:41.3996336Z   test_for_in_range_zero_step (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3996450Z   test_for_in_string (__main__.TestScript) ... ok (0.015s)
2022-11-23T01:28:41.3996564Z   test_for_in_tensors (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.3996679Z   test_for_in_tensors_fail_scalar (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3996803Z   test_for_in_tensors_nested (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.3996924Z   test_for_in_tensors_rank0 (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.3997034Z   test_for_in_zip (__main__.TestScript) ... ok (0.022s)
2022-11-23T01:28:41.3997156Z   test_for_in_zip_enumerate (__main__.TestScript) ... ok (0.018s)
2022-11-23T01:28:41.3997273Z   test_for_tuple_assign (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3997394Z   test_for_tuple_unpack (__main__.TestScript) ... ok (0.016s)
2022-11-23T01:28:41.3997499Z   test_format (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.3997597Z   test_func_call (__main__.TestScript) ... ok (0.016s)
2022-11-23T01:28:41.3997732Z   test_function_compilation_caching (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3997861Z   test_function_overload_misuse (__main__.TestScript) ... ok (0.834s)
2022-11-23T01:28:41.3998001Z   test_function_overloading_isinstance (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.3998122Z   test_function_overloads (__main__.TestScript) ... ok (0.050s)
2022-11-23T01:28:41.3998324Z   test_fuser_double_float_codegen (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:41.3998462Z   test_fuser_double_literal_precision (__main__.TestScript) ... ok (0.153s)
2022-11-23T01:28:41.3998587Z   test_fuser_multiple_blocks (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3998700Z   test_gather_dynamic_index (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.3998824Z   test_generic_list_errors (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.3998938Z   test_get_set_state (__main__.TestScript) ... ok (0.033s)
2022-11-23T01:28:41.3999069Z   test_get_set_state_with_tensors (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3999187Z   test_grad_from_script (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.3999289Z   test_hash (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.3999402Z   test_hex_literals (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.3999489Z   test_id (__main__.TestScript) ... ok (0.401s)
2022-11-23T01:28:41.3999591Z   test_if (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.3999702Z   test_if_define (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.3999823Z   test_if_different_type (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.3999943Z   test_if_for_in_range (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.4000066Z   test_if_is_none_dispatch (__main__.TestScript) ... ok (0.017s)
2022-11-23T01:28:41.4000206Z   test_if_list_cat (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4000322Z   test_if_nest_while (__main__.TestScript) ... ok (0.054s)
2022-11-23T01:28:41.4000417Z   test_if_noelse (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4000538Z   test_if_not_defined_error (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4000653Z   test_if_supertype (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4000774Z   test_ignore_decorator (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.4000892Z   test_ignored_as_value (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.4001018Z   test_ignored_method_binding (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4001134Z   test_ignored_props (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4001260Z   test_import_constants_not_specialized (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4001410Z   test_in_for_and_comp_expr (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4001542Z   test_in_operator_with_two_strings (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4001640Z   test_index (__main__.TestScript) ... ok (0.083s)
2022-11-23T01:28:41.4001760Z   test_index_select_shape_prop (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4001869Z   test_index_with_tuple (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4001984Z   test_indexing_error (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4002094Z   test_infer_size (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4002190Z   test_inferred_error_msg (__main__.TestScript)
2022-11-23T01:28:41.4002340Z Test that when we get a type mismatch on a function where we inferred ... ok (0.002s)
2022-11-23T01:28:41.4002458Z   test_inherit_method (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.4002661Z   test_inline_and_run_annotated_script_fn (__main__.TestScript) ... skip: https://github.com/pytorch/pytorch/issues/9595 (0.000s)
2022-11-23T01:28:41.4002766Z   test_inlined_graph (__main__.TestScript)
2022-11-23T01:28:41.4002926Z Check that the `inlined_graph` property correctly returns an inlined ... ok (0.010s)
2022-11-23T01:28:41.4003045Z   test_inlining_cleanup (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4003159Z   test_inplace_add (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4003267Z   test_inplace_copy_script (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4003394Z   test_input_keyword_in_schema (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4003501Z   test_int_cast (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4003631Z   test_integral_shape_inference (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4003750Z   test_interpret_graph (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4003869Z   test_interpreter_fuzz (__main__.TestScript) ... ok (0.292s)
2022-11-23T01:28:41.4003982Z   test_intlist_args (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4004097Z   test_invalid_call_arguments (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4004222Z   test_invalid_lhs_assignment (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4004354Z   test_invalid_prefix_annotation (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4004464Z   test_irparser (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4004575Z   test_is_after_use (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4004742Z   test_is_isnot (__main__.TestScript) ... <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4004872Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4004998Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4005106Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4005231Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4005357Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4005504Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4005626Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4005746Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4005865Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4005985Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4006095Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4006218Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4006337Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4006459Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4006627Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4006747Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4006868Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4006993Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4007103Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4007228Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4007348Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4007468Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4007588Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4007707Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4007829Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4007952Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4008058Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4008178Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4008297Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4008417Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4008537Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4008659Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4008778Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4008884Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009003Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009123Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009245Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009367Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009489Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009610Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009728Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009833Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4009952Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4010071Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4010190Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4010311Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4010432Z <string>:4: SyntaxWarning: "is" with a literal. Did you mean "=="?
2022-11-23T01:28:41.4010564Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4010720Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4010839Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4010968Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4011095Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4011225Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4011352Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4011479Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4011605Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4011734Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4011881Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4012010Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4012138Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4012266Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4012393Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4012522Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4012647Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4012762Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4012889Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4013015Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4013143Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4013271Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4013398Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4013524Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4013650Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4013762Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4013888Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4014015Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4014141Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4014267Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4014395Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4014521Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4014647Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4014760Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4014885Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4015010Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4015139Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4015266Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4015390Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4015516Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4015641Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4015753Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4015909Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4016037Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4016163Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4016293Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4016522Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4016648Z <string>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
2022-11-23T01:28:41.4016716Z ok (0.046s)
2022-11-23T01:28:41.4016819Z   test_is_optional (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4016937Z   test_is_scripting (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4017114Z   test_is_scripting_metacompile (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4017226Z   test_isinstance (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4017352Z   test_isinstance_dynamic (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4017480Z   test_isinstance_metacompile (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4017606Z   test_isinstance_refinement (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4017702Z   test_jitter_bug (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4017811Z   test_keyword (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4017937Z   test_kwarg_expansion_error (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4018057Z   test_kwargs_error_msg (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4018170Z   test_lazy_script (__main__.TestScript) ... ok (0.019s)
2022-11-23T01:28:41.4018310Z   test_lhs_advanced_indexing_assignment (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4018466Z   test_lhs_advanced_indexing_augmented_assignment (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4018586Z   test_lhs_indexing (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4018703Z   test_lhs_indexing_increment (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4018835Z   test_lhs_indexing_increment_list (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4018973Z   test_lhs_indexing_increment_list_prim (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4019094Z   test_lhs_indexing_list (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4019214Z   test_lhs_indexing_multi (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4019327Z   test_linear_grad (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4019466Z   test_list_comprehension_modulelist (__main__.TestScript) ... ok (0.048s)
2022-11-23T01:28:41.4019607Z   test_list_comprehension_variable_write (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4019710Z   test_list_iterables (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4019828Z   test_list_python_op (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4019938Z   test_list_unify (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4020047Z   test_literal (__main__.TestScript) ... ok (0.018s)
2022-11-23T01:28:41.4020156Z   test_literals (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4020279Z   test_logical_short_circuit (__main__.TestScript) ... ok (0.022s)
2022-11-23T01:28:41.4020395Z   test_loop_liveness (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4020505Z   test_loop_unroll_negative (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.4020634Z   test_loop_unroll_unused_counter (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4020752Z   test_loop_unrolling (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.4020874Z   test_loop_unrolling_const (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4020999Z   test_loop_unrolling_nested (__main__.TestScript) ... ok (0.053s)
2022-11-23T01:28:41.4021124Z   test_lower_nested_tuples (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4021233Z   test_math_ops (__main__.TestScript) ... ok (0.211s)
2022-11-23T01:28:41.4021442Z   test_maxpool_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s)
2022-11-23T01:28:41.4021637Z   test_meshgrid (__main__.TestScript) ... skip: Profiling executor fails to recognize that tensors in a list require gradients (0.001s)
2022-11-23T01:28:41.4021761Z   test_method_casts_script (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4021876Z   test_method_no_self (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4021999Z   test_method_overloading (__main__.TestScript) ... ok (8.117s)
2022-11-23T01:28:41.4022121Z   test_missing_getstate (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4022232Z   test_mm_batching (__main__.TestScript) ... ok (0.533s)
2022-11-23T01:28:41.4022345Z   test_module_apis (__main__.TestScript) ... ok (0.050s)
2022-11-23T01:28:41.4022487Z   test_module_attrs (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4022607Z   test_module_copy_with_attributes (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4022727Z   test_module_copying (__main__.TestScript) ... ok (0.016s)
2022-11-23T01:28:41.4022840Z   test_module_error (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4022973Z   test_module_method_reassignment (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4023092Z   test_module_none_attrs (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4023230Z   test_module_parameters_and_buffers (__main__.TestScript) ... ok (0.025s)
2022-11-23T01:28:41.4023342Z   test_module_str (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4023465Z   test_module_with_params_called_fails (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4023585Z   test_multi_reduction (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4023711Z   test_multi_starred_expr_lhs (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4023841Z   test_multiline_annot_ast_py3_fn (__main__.TestScript) ... ok (0.023s)
2022-11-23T01:28:41.4023987Z   test_multiline_optional_future_refinement (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4024116Z   test_multiline_string_dedents (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4024235Z   test_multiple_assign (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4024359Z   test_multiple_assignment (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4024458Z   test_mutable_dce (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4024577Z   test_mutable_dce_block (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4024706Z   test_mutable_dce_graph_input (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4024846Z   test_mutable_dce_indirect_wildcard_write (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4024983Z   test_mutable_dce_indirect_wildcards (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4025104Z   test_mutable_dce_list (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4025224Z   test_mutable_dce_loop (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4025351Z   test_mutable_dce_wildcards (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4025454Z   test_mutate_constant (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4025573Z   test_mypy_type_ignore (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4025704Z   test_named_buffers_are_iterable (__main__.TestScript) ... ok (0.044s)
2022-11-23T01:28:41.4025824Z   test_namedtuple_attr (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4025972Z   test_namedtuple_default_values_Tensor_type (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4026123Z   test_namedtuple_default_values_container_type (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4026265Z   test_namedtuple_default_values_missing (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.4026411Z   test_namedtuple_default_values_simple_type (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.4026563Z   test_namedtuple_default_values_using_factory_constructor (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4026717Z   test_namedtuple_python (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4026853Z   test_namedtuple_type_inference (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4026968Z   test_narrow_copy (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4027088Z   test_nested_aug_assign (__main__.TestScript) ... ok (0.986s)
2022-11-23T01:28:41.4027206Z   test_nested_bailouts (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.4027322Z   test_nested_breaks (__main__.TestScript) ... ok (0.027s)
2022-11-23T01:28:41.4027445Z   test_nested_list_construct (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4027555Z   test_nested_select_assign (__main__.TestScript) ... ok (0.018s)
2022-11-23T01:28:41.4027661Z   test_nn_GRU (__main__.TestScript) ... ok (0.167s)
2022-11-23T01:28:41.4027769Z   test_nn_LSTM (__main__.TestScript) ... ok (0.107s)
2022-11-23T01:28:41.4027920Z   test_nn_LSTM_with_layers (__main__.TestScript) ... ok (0.109s)
2022-11-23T01:28:41.4028028Z   test_nn_init (__main__.TestScript) ... ok (0.033s)
2022-11-23T01:28:41.4028146Z   test_no_dtype_shape (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4028278Z   test_no_self_arg_ignore_function (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4028384Z   test_non_final_return (__main__.TestScript) ... ok (0.082s)
2022-11-23T01:28:41.4028499Z   test_none_type_str (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4028603Z   test_not (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4028725Z   test_not_initialized_err (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4028844Z   test_ntuple_builtins (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4028955Z   test_number_abs (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4029074Z   test_number_augassign (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4029213Z   test_number_augassign_bitwise_lshift (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4029334Z   test_number_augassign_bitwise_pow (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4029474Z   test_number_augassign_bitwise_rshift (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4029586Z   test_number_div (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4029699Z   test_number_math (__main__.TestScript) ... ok (1.924s)
2022-11-23T01:28:41.4029807Z   test_number_neg (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4029976Z   test_old_models_bc (__main__.TestScript) ... skip: PyTorch is build without Caffe2 support (0.001s)
2022-11-23T01:28:41.4030090Z   test_oneline_func (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4030190Z   test_op_dtype (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4030315Z   test_operator_precedence (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4030640Z   test_optional_list (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.001s)
2022-11-23T01:28:41.4030944Z   test_optional_tensor (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.001s)
2022-11-23T01:28:41.4031050Z   test_ord (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4031167Z   test_override_magic (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.4031295Z   test_pack_tuple_into_non_var (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4031417Z   test_pack_unpack_nested (__main__.TestScript) ... ok (0.028s)
2022-11-23T01:28:41.4031527Z   test_pack_unpack_state (__main__.TestScript) ... ok (0.016s)
2022-11-23T01:28:41.4031682Z   test_parameter_order (__main__.TestScript) ... tensor([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,
2022-11-23T01:28:41.4031784Z         14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,
2022-11-23T01:28:41.4031882Z         28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,
2022-11-23T01:28:41.4031973Z         42., 43., 44., 45., 46., 47., 48., 49., 50., 51.],
2022-11-23T01:28:41.4032059Z        grad_fn=<CatBackward0>)
2022-11-23T01:28:41.4032194Z tensor([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,
2022-11-23T01:28:41.4032293Z         14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,
2022-11-23T01:28:41.4032375Z         28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,
2022-11-23T01:28:41.4032464Z         42., 43., 44., 45., 46., 47., 48., 49., 50., 51.],
2022-11-23T01:28:41.4032551Z        grad_fn=<CatBackward0>)
2022-11-23T01:28:41.4032619Z ok (0.010s)
2022-11-23T01:28:41.4032756Z   test_parse_empty_tuple_annotation (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4032908Z   test_parse_empty_tuple_annotation_element_error (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4033029Z   test_parse_nested_names (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4033188Z   test_parse_none_type_annotation (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4033302Z   test_parse_tensor_constants (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4033424Z   test_parser_kwargonly (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4033555Z   test_parser_type_annotations (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4033693Z   test_parser_type_annotations_comment (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4033922Z   test_parser_type_annotations_incompatible_expression (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4034076Z   test_parser_type_annotations_subscript_non_ident (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4034224Z   test_parser_type_annotations_subscript_tensor (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4034369Z   test_parser_type_annotations_unknown_type (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4034475Z   test_partial_returns (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4034581Z   test_pass (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4034705Z   test_pickle_checkpoint (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.4034848Z   test_pickle_checkpoint_cuda (__main__.TestScript) ... skip: no CUDA (0.000s)
2022-11-23T01:28:41.4034975Z   test_pickle_checkpoint_tup (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4035140Z   test_pow_scalar_backward_cuda (__main__.TestScript) ... skip: device tests require CUDA (0.001s)
2022-11-23T01:28:41.4035265Z   test_pretty_print_function (__main__.TestScript) ... ok (0.029s)
2022-11-23T01:28:41.4035437Z   test_prim_grad_undefined (__main__.TestScript) ... skip: shape analysis is only enabled in Legacy (0.001s)
2022-11-23T01:28:41.4035529Z   test_print (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4035645Z   test_print_kwargs (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4035815Z   test_profiling_graph_executor (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s)
2022-11-23T01:28:41.4035937Z   test_profiling_merge (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4036070Z   test_pybind_type_comparisons (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4036183Z   test_python_call (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4036311Z   test_python_call_annotation (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4036448Z   test_python_call_annoytation_failure (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4036559Z   test_python_call_failure (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4036683Z   test_python_call_non_tensor (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4036814Z   test_python_call_non_tensor_wrong (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4036932Z   test_python_frontend (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4037053Z   test_python_frontend_py3 (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4037189Z   test_python_frontend_source_range (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4037311Z   test_python_op_builtins (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4037451Z   test_python_op_name (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4037585Z   test_python_val_doesnt_have_attr (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4037733Z   test_rand (__main__.TestScript) ... skip: the original version of test_rand (0.001s)
2022-11-23T01:28:41.4037854Z   test_rand_profiling (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4037965Z   test_range_args (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4038089Z   test_reassign_module_lhs (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4038210Z   test_reassign_module_rhs (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4038332Z   test_refine_tuple_types (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4038435Z   test_remove_dropout (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.4038599Z   test_repeated_script_on_function (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4038715Z   test_request_bailout (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4038870Z   test_requires_grad_loop (__main__.TestScript) ... skip: Peeling is now disabled (0.001s)
2022-11-23T01:28:41.4039005Z   test_rescripting_loaded_modules (__main__.TestScript) ... ok (0.028s)
2022-11-23T01:28:41.4039124Z   test_resize_input_ops (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4039228Z   test_return (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.4039351Z   test_return_stmt_not_at_end (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4039451Z   test_return_tuple (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4039574Z   test_robust_op_resolution (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4039680Z   test_round (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4039801Z   test_save_load_attr_error (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4039928Z   test_script_annotation (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4040050Z   test_script_bool_constant (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4040165Z   test_script_chunk (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4040272Z   test_script_clamp_none (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.4040387Z   test_script_copy (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4040497Z   test_script_cu (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4040619Z   test_script_define_order (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4040763Z   test_script_define_order_recursive_fail (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4040884Z   test_script_docstring (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4041027Z   test_script_forward_method_replacement (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4041175Z   test_script_get_device_cuda (__main__.TestScript) ... skip: requires CUDA (0.000s)
2022-11-23T01:28:41.4041294Z   test_script_get_tracing_state (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4041416Z   test_script_is_tracing (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4041541Z   test_script_kwargs_fn_call (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4041670Z   test_script_method_docstring (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4041815Z   test_script_method_torch_function_overload (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4041932Z   test_script_module (__main__.TestScript) ... ok (0.017s)
2022-11-23T01:28:41.4042065Z   test_script_module_call_noscript (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4042188Z   test_script_module_const (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4042315Z   test_script_module_const_submodule_fail (__main__.TestScript) ... ok (0.020s)
2022-11-23T01:28:41.4042447Z   test_script_module_export_blocks (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.4043083Z   test_script_module_export_shared_storage (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:28:41.4043188Z   warnings.warn(message, UserWarning)
2022-11-23T01:28:41.4043256Z ok (0.011s)
2022-11-23T01:28:41.4043394Z   test_script_module_export_submodule (__main__.TestScript) ... ok (0.020s)
2022-11-23T01:28:41.4043576Z   test_script_module_export_tensor_cuda (__main__.TestScript) ... skip: testing cuda tensors require CUDA (0.001s)
2022-11-23T01:28:41.4043716Z   test_script_module_export_tensor_type (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4043844Z   test_script_module_fail_exist (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4043951Z   test_script_module_for (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4044110Z   test_script_module_for2 (__main__.TestScript) ... ok (0.033s)
2022-11-23T01:28:41.4044243Z   test_script_module_invalid_consts (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4044385Z   test_script_module_nochange_submodule (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4044731Z   test_script_module_none_exist_fail (__main__.TestScript) ... skip: [module dedupe] currently NoneType refinement on optional attributes doesn't work. (0.001s)
2022-11-23T01:28:41.4044861Z   test_script_module_not_tuple (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4045004Z   test_script_module_param_buffer_mutation (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4045133Z   test_script_module_star_assign2 (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4045260Z   test_script_module_star_assign2_inplace (__main__.TestScript) ... ok (0.013s)
2022-11-23T01:28:41.4045403Z   test_script_module_star_assign_fail_builtin (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4045552Z   test_script_module_star_assign_fail_pythonop (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4045700Z   test_script_module_tensor_subclass_argument (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4045827Z   test_script_nested_mod_list (__main__.TestScript) ... ok (0.036s)
2022-11-23T01:28:41.4045962Z   test_script_non_tensor_args_outputs (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4046087Z   test_script_optional_none (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.4046204Z   test_script_outputs (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4046326Z   test_script_pack_padded_sequence (__main__.TestScript) ... ok (0.037s)
2022-11-23T01:28:41.4046466Z   test_script_pad_sequence_pack_sequence (__main__.TestScript) ... ok (0.039s)
2022-11-23T01:28:41.4046581Z   test_script_scope (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4046707Z   test_script_sequential_for (__main__.TestScript) ... ok (0.025s)
2022-11-23T01:28:41.4046844Z   test_script_sequential_in_mod_list (__main__.TestScript) ... ok (0.041s)
2022-11-23T01:28:41.4046987Z   test_script_sequential_multi_output_fail (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.4047123Z   test_script_sequential_orderdict (__main__.TestScript) ... ok (0.029s)
2022-11-23T01:28:41.4047264Z   test_script_sequential_sliced_iteration (__main__.TestScript) ... ok (0.032s)
2022-11-23T01:28:41.4047372Z   test_script_star_assign (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.4047494Z   test_script_star_expr (__main__.TestScript) ... ok (0.019s)
2022-11-23T01:28:41.4047621Z   test_script_star_expr_string (__main__.TestScript) ... ok (0.019s)
2022-11-23T01:28:41.4047746Z   test_scriptable_fn_as_attr (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4047898Z   test_scriptmodule_multi_head_attn_cuda (__main__.TestScript) ... skip: no CUDA (0.001s)
2022-11-23T01:28:41.4048054Z   test_scriptmodule_releases_tensors_cuda (__main__.TestScript) ... skip: no CUDA (0.001s)
2022-11-23T01:28:41.4048208Z   test_scriptmodule_transformer_cuda (__main__.TestScript) ... skip: no CUDA (0.001s)
2022-11-23T01:28:41.4048331Z   test_select_after_chunk (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4048469Z   test_sequence_parsing (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4048607Z   test_sequential_intermediary_types (__main__.TestScript) ... ok (0.025s)
2022-11-23T01:28:41.4048735Z   test_serialization_big_ints (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4048863Z   test_serialization_sharing (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4048986Z   test_serialize_long_lines (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4049117Z   test_serialized_source_ranges (__main__.TestScript) ... ok (0.432s)
2022-11-23T01:28:41.4049245Z   test_serialized_source_ranges2 (__main__.TestScript) ... ok (0.419s)
2022-11-23T01:28:41.4049375Z   test_serialized_source_ranges_dont_jitter (__main__.TestScript) ... ok (0.075s)
2022-11-23T01:28:41.4049541Z   test_serialized_source_ranges_graph (__main__.TestScript) ... ok (0.295s)
2022-11-23T01:28:41.4049679Z   test_serialized_source_ranges_no_dups (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.4049820Z   test_set_attribute_through_optional (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4049955Z   test_shape_analysis_grad_property (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4050078Z   test_shape_analysis_loop (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4050216Z   test_shape_prop_promote_scalar_arg (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4050341Z   test_shape_prop_promotion (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4050447Z   test_signed_float_zero (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4050579Z   test_single_starred_expr_for_loop (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4050700Z   test_single_starred_lhs (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4050830Z   test_singleton_tuple_unpack (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4051002Z   test_slice_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.000s)
2022-11-23T01:28:41.4051111Z   test_split (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4051214Z   test_stack (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4051331Z   test_static_if_prop (__main__.TestScript) ... ok (2.056s)
2022-11-23T01:28:41.4051431Z   test_static_method_on_module (__main__.TestScript)
2022-11-23T01:28:41.4051586Z Check that the `@staticmethod` annotation on a function on a module works. ... ok (0.008s)
2022-11-23T01:28:41.4051703Z   test_static_methods (__main__.TestScript) ... ok (0.019s)
2022-11-23T01:28:41.4051811Z   test_str_cast (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4051923Z   test_string_cu (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4052064Z   test_string_device_implicit_conversion (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4052188Z   test_string_frontend_elif (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4052304Z   test_string_index (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4052403Z   test_string_len (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4052515Z   test_string_list (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4052632Z   test_string_new_line (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4052743Z   test_string_ops (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4052856Z   test_string_print (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4052978Z   test_string_single_escape (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4053095Z   test_string_slicing (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.4053194Z   test_string_sort (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4053307Z   test_string_sorted (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4053450Z   test_submodule_attribute_serialization (__main__.TestScript) ... ok (0.016s)
2022-11-23T01:28:41.4053571Z   test_submodule_twice (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4053673Z   test_sum (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4053822Z   test_sum_list_diff_elms (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4053940Z   test_sum_list_empty (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4054057Z   test_sum_list_literal (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4054155Z   test_sum_list_one (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4054277Z   test_sum_list_wrong_type (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4054397Z   test_sys_stdout_override (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4054692Z   test_tensor_as_tensor_shape_prop (__main__.TestScript) ... skip: Simple Executor doesn't have any shapes to propagate (0.001s)
2022-11-23T01:28:41.4054807Z   test_tensor_data (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4054958Z   test_tensor_device (__main__.TestScript) ... skip: device tests require CUDA (0.001s)
2022-11-23T01:28:41.4055101Z   test_tensor_dtype (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4055214Z   test_tensor_grad (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4055325Z   test_tensor_import_export (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4055434Z   test_tensor_len (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4055555Z   test_tensor_number_math (__main__.TestScript) ... ok (0.407s)
2022-11-23T01:28:41.4055694Z   test_tensor_number_math_cuda (__main__.TestScript) ... skip: No CUDA (0.000s)
2022-11-23T01:28:41.4055852Z   test_tensor_requires_grad (__main__.TestScript) ... skip: testing legacy behavior (0.001s)
2022-11-23T01:28:41.4055966Z   test_tensor_shape (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4056781Z   test_tensor_subclasses (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either.
2022-11-23T01:28:41.4056930Z   warnings.warn("TorchScript will treat type annotations of Tensor "
2022-11-23T01:28:41.4056983Z ok (0.007s)
2022-11-23T01:28:41.4057095Z   test_tensor_to (__main__.TestScript) ... ok (0.020s)
2022-11-23T01:28:41.4057210Z   test_tensor_to_cpu (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4057359Z   test_tensor_to_cuda (__main__.TestScript) ... skip: device tests require CUDA (0.000s)
2022-11-23T01:28:41.4057514Z   test_tensor_to_device (__main__.TestScript) ... skip: device tests require CUDA (0.000s)
2022-11-23T01:28:41.4057625Z   test_ternary (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4057753Z   test_ternary_module_type_hint (__main__.TestScript) ... ok (0.040s)
2022-11-23T01:28:41.4057884Z   test_ternary_right_associative (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4057991Z   test_ternary_static_if (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.4058104Z   test_torch_any (__main__.TestScript) ... ok (0.015s)
2022-11-23T01:28:41.4058270Z   test_torch_functional (__main__.TestScript) ... skip: Skipping while landing PR stack (0.002s)
2022-11-23T01:28:41.4058408Z   test_torch_functional_tensordot_int (__main__.TestScript) ... ok (0.042s)
2022-11-23T01:28:41.4058546Z   test_torch_functional_tensordot_list (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4058686Z   test_torch_functional_tensordot_tensor (__main__.TestScript) ... ok (0.021s)
2022-11-23T01:28:41.4058826Z   test_torch_functional_tensordot_tuple (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4058960Z   test_torch_ignore_conversion_to_none (__main__.TestScript) ... ok (0.008s)
2022-11-23T01:28:41.4059066Z   test_torch_manual_seed (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4059177Z   test_torch_pow (__main__.TestScript) ... ok (0.031s)
2022-11-23T01:28:41.4059787Z   test_torch_tensor_as_tensor (__main__.TestScript) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.)
2022-11-23T01:28:41.4059883Z   return callable(*args, **kwargs)
2022-11-23T01:28:41.4059952Z ok (0.515s)
2022-11-23T01:28:41.4060089Z   test_torch_tensor_as_tensor_empty_list (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4060215Z   test_torch_tensor_bad_input (__main__.TestScript) ... ok (0.027s)
2022-11-23T01:28:41.4060337Z   test_torch_tensor_dtype (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4060456Z   test_torchscript_memoryformat (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4060590Z   test_torchscript_multi_head_attn (__main__.TestScript) ... ok (0.078s)
2022-11-23T01:28:41.4060735Z   test_torchscript_multi_head_attn_fast_path (__main__.TestScript) ... ok (0.175s)
2022-11-23T01:28:41.4060853Z   test_training_param (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.4061012Z   test_tuple_assignments (__main__.TestScript) ... ok (0.363s)
2022-11-23T01:28:41.4061135Z   test_tuple_error_msg (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4061256Z   test_tuple_index_to_list (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4061374Z   test_tuple_indexing (__main__.TestScript) ... ok (0.019s)
2022-11-23T01:28:41.4061469Z   test_tuple_len (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4061588Z   test_tuple_nested_sort (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4061698Z   test_tuple_sort (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4061818Z   test_tuple_sort_reverse (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4061932Z   test_tuple_sorted (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4062051Z   test_tuple_to_opt_list (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4062185Z   test_tuple_unsortable_diff_type (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4062309Z   test_tuple_unsortable_element_type (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4062452Z   test_tuple_unsortable_nested_diff_type (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4062568Z   test_type_annotate (__main__.TestScript) ... ok (0.014s)
2022-11-23T01:28:41.4062696Z   test_type_annotation_module (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.4062819Z   test_type_annotation_py3 (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.4062939Z   test_type_annotations (__main__.TestScript) ... ok (0.016s)
2022-11-23T01:28:41.4063076Z   test_type_annotations_repeated_list (__main__.TestScript) ... ok (0.012s)
2022-11-23T01:28:41.4063208Z   test_type_annotations_varargs (__main__.TestScript) ... ok (0.011s)
2022-11-23T01:28:41.4063316Z   test_type_call_in_script (__main__.TestScript) ... ok (0.002s)
2022-11-23T01:28:41.4063424Z   test_type_cast (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4063549Z   test_type_comments_in_body (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4063680Z   test_type_inferred_from_empty_annotation (__main__.TestScript)
2022-11-23T01:28:41.4063865Z Test that the type inferred from an empty or missing annotation is Torch.Tensor wtih `inferred=true` ... ok (0.002s)
2022-11-23T01:28:41.4064088Z   test_unbind (__main__.TestScript) ... skip: Profiling executor will be using different heuristics for constructing differentiable graphs (0.001s)
2022-11-23T01:28:41.4064210Z   test_unfold_zero_dim (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4064329Z   test_unicode_comments (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4064434Z   test_uninitialized (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4064552Z   test_union_to_number (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4064668Z   test_unknown_builtin (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4064801Z   test_unmatched_type_annotation (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4064936Z   test_unspecialized_any_binding (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4065137Z   test_unsqueeze_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.000s)
2022-11-23T01:28:41.4065273Z   test_unsupported_builtin_error (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4065393Z   test_unused_decorator (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4065508Z   test_unwrap_optional_builtin (__main__.TestScript) ... ok (0.010s)
2022-11-23T01:28:41.4065625Z   test_var_aug_assign (__main__.TestScript) ... ok (0.979s)
2022-11-23T01:28:41.4065737Z   test_vararg_zeros (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4065874Z   test_view_listconstruct_shape_prop (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4065993Z   test_view_shape_prop (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4066103Z   test_view_write (__main__.TestScript) ... ok (0.006s)
2022-11-23T01:28:41.4066225Z   test_weak_cuda (__main__.TestScript) ... skip: no CUDA (0.001s)
2022-11-23T01:28:41.4066357Z   test_where (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4066461Z   test_where_method (__main__.TestScript) ... ok (0.004s)
2022-11-23T01:28:41.4066565Z   test_while (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4066677Z   test_while_nest_if (__main__.TestScript) ... ok (0.042s)
2022-11-23T01:28:41.4066810Z   test_while_nonexistent_cond_value (__main__.TestScript) ... ok (0.026s)
2022-11-23T01:28:41.4066938Z   test_while_nonexistent_value (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4067067Z   test_while_write_outer_then_read (__main__.TestScript) ... ok (0.007s)
2022-11-23T01:28:41.4067187Z   test_wrong_attr_lookup (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4067299Z   test_wrong_implicit_expand (__main__.TestScript) ... ok (0.005s)
2022-11-23T01:28:41.4067429Z   test_wrong_method_call_inputs (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4067558Z   test_wrong_module_attr_lookup (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4067681Z   test_wrong_return_type (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4067807Z   test_wrong_use_as_callable (__main__.TestScript) ... ok (0.001s)
2022-11-23T01:28:41.4067927Z   test_wrong_use_as_tuple (__main__.TestScript) ... ok (0.003s)
2022-11-23T01:28:41.4068031Z   test_zeros (__main__.TestScript) ... ok (0.009s)
2022-11-23T01:28:41.4068162Z   test_zip_enumerate_modulelist (__main__.TestScript) ... ok (0.434s)
2022-11-23T01:28:41.4068265Z   test_bool (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4068391Z Test the __bool__ method. This should return True ... ok (0.002s)
2022-11-23T01:28:41.4068511Z   test_contains (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4068630Z Test membership checks (x in y, x not in y). ... ok (0.001s)
2022-11-23T01:28:41.4068746Z   test_delitem (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4068833Z Test deletion. ... ok (0.001s)
2022-11-23T01:28:41.4068949Z   test_getitem (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4069074Z Test accessing dictionary values using the [] operator. ... ok (0.001s)
2022-11-23T01:28:41.4069190Z   test_items (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4069271Z Test .items(). ... ok (0.001s)
2022-11-23T01:28:41.4069382Z   test_iter (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4069554Z Test iteration over a dictionary's keys. ... ok (0.001s)
2022-11-23T01:28:41.4069665Z   test_len (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4069764Z Test len() builtin function. ... ok (0.001s)
2022-11-23T01:28:41.4069877Z   test_nested (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4070101Z Test that reference semantics are honoured when the ScriptDict that is ... skip: Cannot pass until all dicts returned from TorchScript are ScriptDicts (0.001s)
2022-11-23T01:28:41.4070233Z   test_reference_semantics (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4070385Z Test that reference semantics are honoured; that modifications made ... ok (0.003s)
2022-11-23T01:28:41.4070498Z   test_repr (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4070594Z Test the __repr__ method. ... ok (0.001s)
2022-11-23T01:28:41.4070735Z   test_setitem (jit.test_list_dict.TestScriptDict)
2022-11-23T01:28:41.4070869Z Test setting dictionary values using the [] operator. ... ok (0.001s)
2022-11-23T01:28:41.4070971Z   test_append (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4071063Z Test append method. ... ok (0.001s)
2022-11-23T01:28:41.4071175Z   test_bool (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4071299Z Test the __bool__ method. This should return True ... ok (0.001s)
2022-11-23T01:28:41.4071412Z   test_clear (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4071491Z Test clear. ... ok (0.001s)
2022-11-23T01:28:41.4071607Z   test_contains (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4071726Z Test membership checks (x in y, x not in y). ... ok (0.001s)
2022-11-23T01:28:41.4071889Z   test_count (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4071975Z Test count method. ... ok (0.001s)
2022-11-23T01:28:41.4072089Z   test_delitem (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4072174Z Test deletion. ... ok (0.001s)
2022-11-23T01:28:41.4072288Z   test_extend (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4072368Z Test extend. ... ok (0.002s)
2022-11-23T01:28:41.4072480Z   test_getitem (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4072596Z Test accessing list elements using the [] operator. ... ok (0.003s)
2022-11-23T01:28:41.4072707Z   test_insert (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4072790Z Test insert. ... ok (0.001s)
2022-11-23T01:28:41.4072902Z   test_iter (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4073065Z Test iteration over a list's elements. ... ok (0.001s)
2022-11-23T01:28:41.4073175Z   test_len (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4073275Z Test len() builtin function. ... ok (0.001s)
2022-11-23T01:28:41.4073378Z   test_nested (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4073613Z Test that reference semantics are honoured when the ScriptList that is ... skip: Cannot pass until all list returned from TorchScript are ScriptLists (0.001s)
2022-11-23T01:28:41.4073792Z   test_pop (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4073881Z Test pop. ... ok (0.001s)
2022-11-23T01:28:41.4074018Z   test_reference_semantics (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4074171Z Test that reference semantics are honoured; that modifications made ... ok (0.003s)
2022-11-23T01:28:41.4074285Z   test_remove (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4074378Z Test remove method. ... ok (0.001s)
2022-11-23T01:28:41.4074476Z   test_repr (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4074571Z Test the __repr__ method. ... ok (0.001s)
2022-11-23T01:28:41.4074685Z   test_setitem (jit.test_list_dict.TestScriptList)
2022-11-23T01:28:41.4074810Z Test setting list elements using the [] operator. ... ok (0.002s)
2022-11-23T01:28:41.4075085Z   test_annotated_class_level_annotation_and_init_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s)
2022-11-23T01:28:41.4075337Z   test_annotated_class_level_annotation_only (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s)
2022-11-23T01:28:41.4075589Z   test_annotated_class_level_jit_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.008s)
2022-11-23T01:28:41.4075823Z   test_annotated_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.008s)
2022-11-23T01:28:41.4076045Z   test_annotated_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s)
2022-11-23T01:28:41.4076280Z   test_annotated_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.005s)
2022-11-23T01:28:41.4076516Z   test_annotated_empty_tensor (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s)
2022-11-23T01:28:41.4076790Z   test_annotated_falsy_base_type (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s)
2022-11-23T01:28:41.4077035Z   test_annotated_nonempty_container (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s)
2022-11-23T01:28:41.4077277Z   test_annotated_with_jit_attribute (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s)
2022-11-23T01:28:41.4077517Z   test_annotated_with_jit_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s)
2022-11-23T01:28:41.4077755Z   test_annotated_with_jit_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s)
2022-11-23T01:28:41.4077998Z   test_annotated_with_jit_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.005s)
2022-11-23T01:28:41.4078273Z   test_annotated_with_torch_jit_import (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.005s)
2022-11-23T01:28:41.4078409Z   test_basic (jit.test_script_profile.TestScriptProfile) ... ok (0.072s)
2022-11-23T01:28:41.4078558Z   test_empty (jit.test_script_profile.TestScriptProfile) ... ok (0.001s)
2022-11-23T01:28:41.4078700Z   test_multi (jit.test_script_profile.TestScriptProfile) ... ok (0.071s)
2022-11-23T01:28:41.4078843Z   test_script (jit.test_script_profile.TestScriptProfile) ... ok (0.213s)
2022-11-23T01:28:41.4078991Z   test_section (jit.test_script_profile.TestScriptProfile) ... ok (0.241s)
2022-11-23T01:28:41.4079124Z   test_module_list_slicing (jit.test_slice.TestSlice) ... ok (0.021s)
2022-11-23T01:28:41.4079253Z   test_slice_as_variable (jit.test_slice.TestSlice) ... ok (0.004s)
2022-11-23T01:28:41.4079384Z   test_slice_dynamic_index (jit.test_slice.TestSlice) ... ok (0.005s)
2022-11-23T01:28:41.4079493Z   test_slice_kwarg (jit.test_slice.TestSlice) ... ok (0.002s)
2022-11-23T01:28:41.4079619Z   test_slice_one_none (jit.test_slice.TestSlice) ... ok (0.005s)
2022-11-23T01:28:41.4079749Z   test_slice_start_stop (jit.test_slice.TestSlice) ... ok (0.004s)
2022-11-23T01:28:41.4079883Z   test_slice_start_stop_step (jit.test_slice.TestSlice) ... ok (0.004s)
2022-11-23T01:28:41.4080022Z   test_slice_start_stop_with_none (jit.test_slice.TestSlice) ... ok (0.004s)
2022-11-23T01:28:41.4080154Z   test_slice_stop_clipped (jit.test_slice.TestSlice) ... ok (0.005s)
2022-11-23T01:28:41.4080280Z   test_slice_stop_only (jit.test_slice.TestSlice) ... ok (0.004s)
2022-11-23T01:28:41.4080418Z   test_slice_stop_only_with_nones (jit.test_slice.TestSlice) ... ok (0.004s)
2022-11-23T01:28:41.4080527Z   test_slice_string (jit.test_slice.TestSlice) ... ok (0.004s)
2022-11-23T01:28:41.4080649Z   test_slice_tensor (jit.test_slice.TestSlice) ... ok (0.004s)
2022-11-23T01:28:41.4080781Z   test_slice_tensor_multidim (jit.test_slice.TestSlice) ... ok (0.005s)
2022-11-23T01:28:41.4080929Z   test_slice_tensor_multidim_with_dots (jit.test_slice.TestSlice) ... ok (0.005s)
2022-11-23T01:28:41.4081057Z   test_slice_three_nones (jit.test_slice.TestSlice) ... ok (0.005s)
2022-11-23T01:28:41.4081184Z   test_slice_two_nones (jit.test_slice.TestSlice) ... ok (0.005s)
2022-11-23T01:28:41.4081310Z   test_tuple_slicing (jit.test_slice.TestSlice) ... ok (0.006s)
2022-11-23T01:28:41.4081432Z   test_freeze_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.007s)
2022-11-23T01:28:41.4081567Z   test_freeze_sparse_csr (jit.test_sparse.TestSparse) ... ok (0.008s)
2022-11-23T01:28:41.4081706Z   test_serialize_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.006s)
2022-11-23T01:28:41.4081843Z   test_serialize_sparse_csr (jit.test_sparse.TestSparse) ... ok (0.007s)
2022-11-23T01:28:41.4082012Z   test_modulo_operator (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4082230Z   test_string_interpolation_with_alternate_digit_placeholder (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4082494Z   test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4082714Z   test_string_interpolation_with_char_placeholder_and_char_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4082934Z   test_string_interpolation_with_char_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4083151Z   test_string_interpolation_with_char_placeholder_and_true_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s)
2022-11-23T01:28:41.4083374Z   test_string_interpolation_with_digit_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4083598Z   test_string_interpolation_with_digit_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T01:28:41.4083848Z   test_string_interpolation_with_double_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4084074Z   test_string_interpolation_with_exponent_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T01:28:41.4084294Z   test_string_interpolation_with_float_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4084513Z   test_string_interpolation_with_float_placeholder_and_float_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4084751Z   test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4084957Z   test_string_interpolation_with_multiple_placeholders (jit.test_string_formatting.TestStringFormatting) ... ok (0.004s)
2022-11-23T01:28:41.4085160Z   test_string_interpolation_with_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T01:28:41.4085383Z   test_string_interpolation_with_string_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4085601Z   test_string_interpolation_with_string_placeholder_and_format_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4085824Z   test_string_interpolation_with_string_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s)
2022-11-23T01:28:41.4086018Z   test_string_interpolation_with_subscript (jit.test_string_formatting.TestStringFormatting) ... ok (0.004s)
2022-11-23T01:28:41.4086216Z   test_string_interpolation_with_too_few_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T01:28:41.4086416Z   test_string_interpolation_with_too_many_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s)
2022-11-23T01:28:41.4086623Z   test_string_interpolation_with_unknown_format_specifier (jit.test_string_formatting.TestStringFormatting) ... ok (0.006s)
2022-11-23T01:28:41.4086818Z   test_adaptive_avg_pool2d (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.023s)
2022-11-23T01:28:41.4087007Z   test_arange_shape (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.018s)
2022-11-23T01:28:41.4087203Z   test_binary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.005s)
2022-11-23T01:28:41.4087383Z   test_binary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.004s)
2022-11-23T01:28:41.4087574Z   test_convolution_backward (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.014s)
2022-11-23T01:28:41.4087759Z   test_if_propagation (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.004s)
2022-11-23T01:28:41.4087955Z   test_partial_eval_graph_conv (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.011s)
2022-11-23T01:28:41.4088174Z   test_partial_eval_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.035s)
2022-11-23T01:28:41.4088385Z   test_refinement_through_graph_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.021s)
2022-11-23T01:28:41.4088589Z   test_register_function_error_checking (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.012s)
2022-11-23T01:28:41.4088792Z   test_returning_input_symbolic_shapes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.009s)
2022-11-23T01:28:41.4088976Z   test_shape_analysis (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.006s)
2022-11-23T01:28:41.4089144Z   test_shape_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.086s)
2022-11-23T01:28:41.4089336Z   test_shape_embedding_bag (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.015s)
2022-11-23T01:28:41.4089622Z   test_shape_function_includes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... skip: shape functions not loaded in python (0.001s)
2022-11-23T01:28:41.4089811Z   test_shared_shape_graph (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.001s)
2022-11-23T01:28:41.4089990Z   test_size_and_sizes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.005s)
2022-11-23T01:28:41.4090177Z   test_stitching_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.021s)
2022-11-23T01:28:41.4090370Z   test_stitching_multi_output (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.016s)
2022-11-23T01:28:41.4090554Z   test_sym_ir_parsing (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.001s)
2022-11-23T01:28:41.4090749Z   test_unary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.001s)
2022-11-23T01:28:41.4090929Z   test_unary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.002s)
2022-11-23T01:28:41.4091103Z   test_write (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.003s)
2022-11-23T01:28:41.4091259Z   test_method_on_number (jit.test_builtins.TestTensorBuiltins) ... ok (0.002s)
2022-11-23T01:28:41.4091423Z   test_scalar_to_num_conversions (jit.test_builtins.TestTensorBuiltins) ... ok (0.010s)
2022-11-23T01:28:41.4091568Z   test_tensor_item (jit.test_builtins.TestTensorBuiltins) ... ok (0.005s)
2022-11-23T01:28:41.4091721Z   test_tensor_properties (jit.test_builtins.TestTensorBuiltins) ... ok (0.013s)
2022-11-23T01:28:41.4091880Z   test_tensor_subscript_assign (jit.test_builtins.TestTensorBuiltins) ... ok (0.027s)
2022-11-23T01:28:41.4092065Z   test_tensor_subscript_assign_device (jit.test_builtins.TestTensorBuiltins) ... skip: requires CUDA (0.000s)
2022-11-23T01:28:41.4092241Z   test_randperm_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s)
2022-11-23T01:28:41.4092408Z   test_randperm_specifed_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s)
2022-11-23T01:28:41.4092588Z   test_tril_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s)
2022-11-23T01:28:41.4092769Z   test_tril_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s)
2022-11-23T01:28:41.4092945Z   test_triu_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s)
2022-11-23T01:28:41.4093127Z   test_triu_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s)
2022-11-23T01:28:41.4093274Z   test_getitem (jit.test_tensor_methods.TestTensorMethods) ... ok (0.005s)
2022-11-23T01:28:41.4093428Z   test_getitem_invalid (jit.test_tensor_methods.TestTensorMethods) ... ok (0.001s)
2022-11-23T01:28:41.4093567Z   test_default_args (jit.test_torchbind.TestTorchbind) ... ok (0.009s)
2022-11-23T01:28:41.4093706Z   test_lambda_as_constructor (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T01:28:41.4094110Z   test_profiler_custom_op (jit.test_torchbind.TestTorchbind) ... STAGE:2022-11-23 01:28:37 11111:11111 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:28:41.4094371Z STAGE:2022-11-23 01:28:37 11111:11111 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:28:41.4094632Z STAGE:2022-11-23 01:28:37 11111:11111 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:28:41.4094700Z ok (0.001s)
2022-11-23T01:28:41.4094843Z   test_staticmethod (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T01:28:41.4094981Z   test_torchbind (jit.test_torchbind.TestTorchbind) ... ok (0.007s)
2022-11-23T01:28:41.4095135Z   test_torchbind_attr_exception (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T01:28:41.4095296Z   test_torchbind_class_attr_recursive (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T01:28:41.4095471Z   test_torchbind_class_attribute (jit.test_torchbind.TestTorchbind) ... ok (0.007s)
2022-11-23T01:28:41.4095626Z   test_torchbind_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T01:28:41.4095791Z   test_torchbind_def_property_getter_setter (jit.test_torchbind.TestTorchbind) ... ok (0.007s)
2022-11-23T01:28:41.4095956Z   test_torchbind_def_property_just_getter (jit.test_torchbind.TestTorchbind) ... ok (0.004s)
2022-11-23T01:28:41.4096119Z   test_torchbind_def_property_readwrite (jit.test_torchbind.TestTorchbind) ... ok (0.004s)
2022-11-23T01:28:41.4096262Z   test_torchbind_getattr (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T01:28:41.4096408Z   test_torchbind_getstate (jit.test_torchbind.TestTorchbind) ... ok (0.005s)
2022-11-23T01:28:41.4096691Z   test_torchbind_instantiate_missing_class (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T01:28:41.4096831Z   test_torchbind_lambda_method (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T01:28:41.4096975Z   test_torchbind_no_init (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T01:28:41.4097138Z   test_torchbind_optional_explicit_attr (jit.test_torchbind.TestTorchbind) ... ok (0.003s)
2022-11-23T01:28:41.4097293Z   test_torchbind_pass_wrong_type (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T01:28:41.4097455Z   test_torchbind_pickle_serialization (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T01:28:41.4097612Z   test_torchbind_python_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T01:28:41.4097762Z   test_torchbind_return_instance (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T01:28:41.4097929Z   test_torchbind_return_instance_from_method (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T01:28:41.4098068Z   test_torchbind_return_tuple (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T01:28:41.4098215Z   test_torchbind_save_load (jit.test_torchbind.TestTorchbind) ... ok (0.004s)
2022-11-23T01:28:41.4098365Z   test_torchbind_take_as_arg (jit.test_torchbind.TestTorchbind) ... ok (0.001s)
2022-11-23T01:28:41.4098537Z   test_torchbind_take_instance_as_method_arg (jit.test_torchbind.TestTorchbind) ... ok (0.002s)
2022-11-23T01:28:41.4098682Z   test_torchbind_tracing (jit.test_torchbind.TestTorchbind) ... ok (0.005s)
2022-11-23T01:28:41.4098836Z   test_torchbind_tracing_nested (jit.test_torchbind.TestTorchbind) ... ok (0.007s)
2022-11-23T01:28:41.4098988Z   test_call_traced_fn_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.012s)
2022-11-23T01:28:41.4099143Z   test_call_traced_module_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.019s)
2022-11-23T01:28:41.4099291Z   test_canonicalize_tensor_iterator (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T01:28:41.4099403Z   test_constant (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T01:28:41.4099523Z   test_conv (jit.test_tracer.TestTracer) ... ok (0.026s)
2022-11-23T01:28:41.4099657Z   test_export_no_reorder (jit.test_tracer.TestTracer) ... ok (0.017s)
2022-11-23T01:28:41.4099800Z   test_force_outplace_check_fill (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4099989Z   test_force_outplace_check_zero (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4100103Z   test_ge (jit.test_tracer.TestTracer) ... ok (0.012s)
2022-11-23T01:28:41.4100242Z   test_ge_cuda (jit.test_tracer.TestTracer) ... skip: requires CUDA (0.000s)
2022-11-23T01:28:41.4100356Z   test_ge_optimized (jit.test_tracer.TestTracer) ... ok (0.183s)
2022-11-23T01:28:41.4100487Z   test_ge_unoptimized (jit.test_tracer.TestTracer) ... ok (0.040s)
2022-11-23T01:28:41.4100610Z   test_index_put (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4100748Z   test_index_put_trace_with_view (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4100890Z   test_index_put_trace_without_view (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4101019Z   test_inplace_check (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T01:28:41.4101181Z   test_inplace_copy (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4101329Z   test_inplace_copy_force_outplace (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4101442Z   test_inplace_flags (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T01:28:41.4101579Z   test_inplace_transplant (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4101705Z   test_inplace_warn (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4101848Z   test_input_dict_checkTrace_mut (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4101986Z   test_input_dict_empty (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T01:28:41.4102121Z   test_input_dict_empty_list (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T01:28:41.4102252Z   test_input_dict_insertion_order (jit.test_tracer.TestTracer)
2022-11-23T01:28:41.4102465Z Check that dictionary access doesn't care about insertion order ... ok (0.009s)
2022-11-23T01:28:41.4102589Z   test_input_dict_of_dicts (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4102726Z   test_input_dict_of_lists (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4102864Z   test_input_dict_recursive (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4102995Z   test_input_dict_remembers_keys (jit.test_tracer.TestTracer)
2022-11-23T01:28:41.4103138Z Check that the trace remembers which keys were in a dict input ... ok (0.012s)
2022-11-23T01:28:41.4103269Z   test_input_dict_unify (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4103383Z   test_input_flatten (jit.test_tracer.TestTracer)
2022-11-23T01:28:41.4103517Z Check that inputs to traced functions are flattened ... ok (0.013s)
2022-11-23T01:28:41.4103639Z   test_input_list_mixed_type (jit.test_tracer.TestTracer) ... ok (0.003s)
2022-11-23T01:28:41.4103773Z   test_input_list_of_tuples (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4103916Z   test_input_list_toplevel_flatten (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4104069Z   test_input_list_toplevel_flatten_direct (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4104207Z   test_input_tuple_of_dicts (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4104343Z   test_interpolate_trace (jit.test_tracer.TestTracer) ... ok (0.025s)
2022-11-23T01:28:41.4104501Z   test_large_nbr_kernel_args (jit.test_tracer.TestTracer) ... skip: requires CUDA (0.001s)
2022-11-23T01:28:41.4104631Z   test_lhs_index_fails (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T01:28:41.4104749Z   test_lhs_index_trivial (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4104870Z   test_max_pool (jit.test_tracer.TestTracer) ... ok (0.013s)
2022-11-23T01:28:41.4104998Z   test_nested_inplace (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4105131Z   test_non_tensor_tracing (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T01:28:41.4105251Z   test_output_unflatten (jit.test_tracer.TestTracer)
2022-11-23T01:28:41.4105435Z Check that outputs of traced functions retain the original structure and nesting ... expected failure (0.008s)
2022-11-23T01:28:41.4105594Z   test_python_function (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T01:28:41.4105731Z   test_python_function_tup (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4105847Z   test_repeated_input (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4105976Z   test_repeated_output (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4106101Z   test_shared_param (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T01:28:41.4106221Z   test_simple (jit.test_tracer.TestTracer) ... ok (0.016s)
2022-11-23T01:28:41.4106366Z   test_tensor_with_grad_as_constant (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T01:28:41.4106508Z   test_trace_aliased_parameter (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T01:28:41.4106640Z   test_trace_annotation (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4106780Z   test_trace_arange (jit.test_tracer.TestTracer) ... ok (0.018s)
2022-11-23T01:28:41.4106920Z   test_trace_arange_with_grad (jit.test_tracer.TestTracer) ... ok (0.018s)
2022-11-23T01:28:41.4107061Z   test_trace_autograd_function (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4107245Z   test_trace_c10_ops (jit.test_tracer.TestTracer) ... skip: Skip the test since c2 ops are not registered. (0.003s)
2022-11-23T01:28:41.4107368Z   test_trace_casts (jit.test_tracer.TestTracer) ... ok (0.037s)
2022-11-23T01:28:41.4107512Z   test_trace_checker_control_flow (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4107650Z   test_trace_checker_dot_data (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4107797Z   test_trace_checker_dropout_notrain (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4107940Z   test_trace_checker_dropout_train (jit.test_tracer.TestTracer) ... ok (0.017s)
2022-11-23T01:28:41.4108074Z   test_trace_checker_inplace_on_view (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4108221Z   test_trace_checker_memoization (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4108358Z   test_trace_checker_slice_lhs (jit.test_tracer.TestTracer) ... ok (0.012s)
2022-11-23T01:28:41.4108505Z   test_trace_checking_with_global_name (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4109087Z   test_trace_contiguous (jit.test_tracer.TestTracer) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:28:41.4109190Z   warnings.warn(message, UserWarning)
2022-11-23T01:28:41.4109258Z ok (0.008s)
2022-11-23T01:28:41.4109406Z   test_trace_contiguous_short_circuit (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T01:28:41.4109521Z   test_trace_detach (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4109657Z   test_trace_detach_inplace (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4109812Z   test_trace_detach_inplace_redispatch (jit.test_tracer.TestTracer) ... ok (0.003s)
2022-11-23T01:28:41.4109951Z   test_trace_detach_redispatch (jit.test_tracer.TestTracer) ... ok (0.002s)
2022-11-23T01:28:41.4110084Z   test_trace_dict_input (jit.test_tracer.TestTracer) ... ok (0.011s)
2022-11-23T01:28:41.4110217Z   test_trace_dict_output (jit.test_tracer.TestTracer) ... ok (0.016s)
2022-11-23T01:28:41.4110347Z   test_trace_export_fns (jit.test_tracer.TestTracer) ... ok (0.019s)
2022-11-23T01:28:41.4110489Z   test_trace_export_fns_recursive (jit.test_tracer.TestTracer) ... ok (0.043s)
2022-11-23T01:28:41.4110616Z   test_trace_fork_join_and_module (jit.test_tracer.TestTracer) ... ok (0.030s)
2022-11-23T01:28:41.4110758Z   test_trace_full_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4110913Z   test_trace_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4111038Z   test_trace_index (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4111201Z   test_trace_index_constant (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4111345Z   test_trace_indexed_assignment (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T01:28:41.4111478Z   test_trace_inline_shape (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T01:28:41.4111604Z   test_trace_inverse (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T01:28:41.4111736Z   test_trace_invert_module_hierarchy (jit.test_tracer.TestTracer) ... ok (0.019s)
2022-11-23T01:28:41.4111869Z   test_trace_legacy_ctor (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T01:28:41.4112024Z   test_trace_module_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.036s)
2022-11-23T01:28:41.4112157Z   test_trace_modulelist (jit.test_tracer.TestTracer) ... ok (0.024s)
2022-11-23T01:28:41.4112366Z   test_trace_multi_output_function (jit.test_tracer.TestTracer) ... graph(%self : __torch__.jit.test_tracer.Bar,
2022-11-23T01:28:41.4112491Z       %x.1 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu),
2022-11-23T01:28:41.4112616Z       %y.1 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu)):
2022-11-23T01:28:41.4112837Z   %x : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%x.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1429:0
2022-11-23T01:28:41.4113038Z   %y : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%y.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1429:0
2022-11-23T01:28:41.4113332Z   %9 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = ^Foo[inplace=0, module="jit.test_tracer", Subgraph=<Graph>]()(%x, %y) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1430:0
2022-11-23T01:28:41.4113525Z   %10 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), %11 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = prim::TupleUnpack(%9)
2022-11-23T01:28:41.4113814Z   %12 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = prim::TupleConstruct(%10, %11)
2022-11-23T01:28:41.4113886Z   return (%12)
2022-11-23T01:28:41.4113897Z 
2022-11-23T01:28:41.4113965Z ok (0.007s)
2022-11-23T01:28:41.4114103Z   test_trace_namedtuple (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4114244Z   test_trace_nested_datatypes (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T01:28:41.4114374Z   test_trace_nested_fn (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T01:28:41.4114498Z   test_trace_numel (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T01:28:41.4114635Z   test_trace_optioanl_dtype (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4114752Z   test_trace_optional (jit.test_tracer.TestTracer) ... ok (0.014s)
2022-11-23T01:28:41.4114919Z   test_trace_partial_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4115047Z   test_trace_random (jit.test_tracer.TestTracer) ... ok (0.003s)
2022-11-23T01:28:41.4115183Z   test_trace_records_names (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T01:28:41.4115307Z   test_trace_save (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4115445Z   test_trace_save_load_copy (jit.test_tracer.TestTracer) ... ok (0.036s)
2022-11-23T01:28:41.4115582Z   test_trace_single_tuple (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T01:28:41.4115704Z   test_trace_size (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4115826Z   test_trace_size_with_grad (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4115973Z   test_trace_skip_none_submodule (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4116097Z   test_trace_slice (jit.test_tracer.TestTracer) ... ok (0.043s)
2022-11-23T01:28:41.4116249Z   test_trace_slice_expr_complete_type (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4116383Z   test_trace_slice_full_dim (jit.test_tracer.TestTracer) ... ok (0.007s)
2022-11-23T01:28:41.4116569Z   test_trace_slice_setitem_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4116706Z   test_trace_slice_with_grad (jit.test_tracer.TestTracer) ... ok (0.045s)
2022-11-23T01:28:41.4116840Z   test_trace_tensor_factory (jit.test_tracer.TestTracer) ... ok (0.037s)
2022-11-23T01:28:41.4116953Z   test_trace_topk (jit.test_tracer.TestTracer) ... ok (0.009s)
2022-11-23T01:28:41.4117077Z   test_trace_tuple (jit.test_tracer.TestTracer) ... ok (0.010s)
2022-11-23T01:28:41.4117226Z   test_trace_variable_instantiation (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4117349Z   test_trace_warn (jit.test_tracer.TestTracer) ... ok (0.008s)
2022-11-23T01:28:41.4117502Z   test_trace_with_conditional_property (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4117688Z   test_trace_with_nested_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.004s)
2022-11-23T01:28:41.4117835Z   test_trace_with_number_list_output (jit.test_tracer.TestTracer) ... ok (0.003s)
2022-11-23T01:28:41.4117980Z   test_trace_with_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.015s)
2022-11-23T01:28:41.4118120Z   test_traced_module_cuda (jit.test_tracer.TestTracer) ... skip: calls .cuda() (0.001s)
2022-11-23T01:28:41.4118265Z   test_tracing_backward_hook_error (jit.test_tracer.TestTracer) ... ok (0.001s)
2022-11-23T01:28:41.4118393Z   test_tracing_hooks (jit.test_tracer.TestTracer) ... ok (0.040s)
2022-11-23T01:28:41.4118535Z   test_tracing_multiple_methods (jit.test_tracer.TestTracer) ... ok (0.130s)
2022-11-23T01:28:41.4118667Z   test_typeas_trace_check (jit.test_tracer.TestTracer) ... ok (0.005s)
2022-11-23T01:28:41.4118796Z   test_wrapped_number (jit.test_tracer.TestTracer) ... ok (0.006s)
2022-11-23T01:28:41.4118936Z   test_assign_python_attr (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4119169Z Assigning a new (python-only) attribute should not change type sharing ... ok (0.032s)
2022-11-23T01:28:41.4119298Z   test_basic (jit.test_type_sharing.TestTypeSharing) ... ok (0.006s)
2022-11-23T01:28:41.4119459Z   test_builtin_function_different (jit.test_type_sharing.TestTypeSharing) ... ok (0.007s)
2022-11-23T01:28:41.4119613Z   test_builtin_function_same (jit.test_type_sharing.TestTypeSharing) ... ok (0.005s)
2022-11-23T01:28:41.4119742Z   test_constants (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4119926Z Types should be shared for identical constant values, and different for different constant values ... ok (0.010s)
2022-11-23T01:28:41.4120065Z   test_diff_attr_values (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4120197Z Types should be shared even if attribute values differ ... ok (0.006s)
2022-11-23T01:28:41.4120350Z   test_failed_attribute_compilation (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4120497Z Attributes whose type cannot be inferred should fail cleanly with nice hints ... ok (0.003s)
2022-11-23T01:28:41.4120642Z   test_ignored_fns (jit.test_type_sharing.TestTypeSharing) ... ok (0.006s)
2022-11-23T01:28:41.4120768Z   test_linear (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4120880Z Simple example with a real nn Module ... ok (0.011s)
2022-11-23T01:28:41.4121031Z   test_loaded_modules_work (jit.test_type_sharing.TestTypeSharing) ... ok (0.015s)
2022-11-23T01:28:41.4121192Z   test_module_dict_same_type_different_name (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4121340Z We should be able to differentiate between two ModuleDict instances ... ok (0.030s)
2022-11-23T01:28:41.4121476Z   test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4121609Z Mutating the value of an attribute should not change type sharing ... ok (0.018s)
2022-11-23T01:28:41.4121746Z   test_param_vs_attribute (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4121965Z The same module with an `foo` as a parameter vs. attribute shouldn't ... ok (0.007s)
2022-11-23T01:28:41.4122127Z   test_python_function_attribute_different (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4122302Z Different functions passed in should lead to different types ... ok (0.010s)
2022-11-23T01:28:41.4122455Z   test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4122583Z Same functions passed in should lead to same types ... ok (0.007s)
2022-11-23T01:28:41.4122728Z   test_same_but_different_classes (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4122866Z Even if everything about the module is the same, different originating ... ok (0.021s)
2022-11-23T01:28:41.4123023Z   test_script_function_attribute_different (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4123165Z Different functions passed in should lead to different types ... ok (0.010s)
2022-11-23T01:28:41.4123319Z   test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4123488Z Same functions passed in should lead to same types ... ok (0.007s)
2022-11-23T01:28:41.4123670Z   test_script_module_containing_traced_module (jit.test_type_sharing.TestTypeSharing) ... ok (0.020s)
2022-11-23T01:28:41.4123801Z   test_submodules (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4123926Z If submodules differ, the types should differ. ... ok (0.042s)
2022-11-23T01:28:41.4124066Z   test_tracing_gives_different_types (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4124284Z Since we can't guarantee that methods are the same between different ... ok (0.012s)
2022-11-23T01:28:41.4124440Z   test_type_not_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4124574Z Test that types are not shared if the exclusion of their ... ok (0.007s)
2022-11-23T01:28:41.4124727Z   test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4124859Z Test that types are shared if the exclusion of their ... ok (0.005s)
2022-11-23T01:28:41.4125008Z   test_type_sharing_define_in_init (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4125144Z Tests that types between instances of a ScriptModule ... ok (0.006s)
2022-11-23T01:28:41.4125272Z   test_type_sharing_disabled (jit.test_type_sharing.TestTypeSharing)
2022-11-23T01:28:41.4125386Z Test that type sharing can be disabled. ... ok (0.019s)
2022-11-23T01:28:41.4125553Z   test_annotate_outside_init (jit.test_types.TestTypesAndAnnotation) ... ok (0.016s)
2022-11-23T01:28:41.4125702Z   test_bad_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s)
2022-11-23T01:28:41.4125865Z   test_ignore_with_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.004s)
2022-11-23T01:28:41.4126021Z   test_ignoring_module_attributes (jit.test_types.TestTypesAndAnnotation)
2022-11-23T01:28:41.4126144Z Test that module attributes can be ignored. ... ok (0.007s)
2022-11-23T01:28:41.4126313Z   test_inferred_type_error_message (jit.test_types.TestTypesAndAnnotation) ... ok (0.003s)
2022-11-23T01:28:41.4126465Z   test_mismatched_annotation (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s)
2022-11-23T01:28:41.4126632Z   test_optional_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation)
2022-11-23T01:28:41.4126783Z Test that using an optional with no contained types produces an error. ... ok (0.002s)
2022-11-23T01:28:41.4126931Z   test_parser_bug (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s)
2022-11-23T01:28:41.4127078Z   test_pep585_type (jit.test_types.TestTypesAndAnnotation) ... ok (0.008s)
2022-11-23T01:28:41.4127233Z   test_python_callable (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s)
2022-11-23T01:28:41.4127384Z   test_reannotate (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s)
2022-11-23T01:28:41.4127544Z   test_tuple_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation)
2022-11-23T01:28:41.4127678Z Test that using a tuple with no contained types produces an error. ... ok (0.002s)
2022-11-23T01:28:41.4127837Z   test_type_annotate_py3 (jit.test_types.TestTypesAndAnnotation) ... ok (0.010s)
2022-11-23T01:28:41.4128024Z   test_types_as_values (jit.test_types.TestTypesAndAnnotation) ... ok (0.010s)
2022-11-23T01:28:41.4128192Z   test_unimported_type_resolution (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s)
2022-11-23T01:28:41.4128320Z   test_bool_list_io (jit.test_typing.TestTyping) ... ok (0.003s)
2022-11-23T01:28:41.4128460Z   test_dict_comprehension (jit.test_typing.TestTyping) ... ok (0.005s)
2022-11-23T01:28:41.4128605Z   test_dict_comprehension_scope (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T01:28:41.4128767Z   test_dict_comprehension_with_type_annotation (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T01:28:41.4128884Z   test_dict_in_not_in (jit.test_typing.TestTyping) ... ok (0.021s)
2022-11-23T01:28:41.4129026Z   test_dict_invalid_annotations (jit.test_typing.TestTyping) ... ok (0.003s)
2022-11-23T01:28:41.4129453Z   test_dict_type_refinement_annotation_key_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T01:28:41.4129616Z   File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 90
2022-11-23T01:28:41.4129686Z         def fn():
2022-11-23T01:28:41.4129764Z             l1 = [1, 2, "foo", 3]
2022-11-23T01:28:41.4129892Z                  ~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T01:28:41.4129984Z             l2 = ["foo", "bar", "baz", "qux"]
2022-11-23T01:28:41.4130085Z             d: Dict[int, str] = {k : v for k, v in zip(l1, l2)}
2022-11-23T01:28:41.4130174Z  (function emitListLiteral)
2022-11-23T01:28:41.4130241Z ok (0.002s)
2022-11-23T01:28:41.4130668Z   test_dict_type_refinement_annotation_value_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T01:28:41.4130806Z   File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 104
2022-11-23T01:28:41.4130875Z         def fn():
2022-11-23T01:28:41.4130967Z             l1 = ["foo", "bar", "baz", "qux"]
2022-11-23T01:28:41.4131043Z             l2 = [1, 2, "foo", 3]
2022-11-23T01:28:41.4131154Z                  ~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T01:28:41.4131268Z             d: Dict[str, int] = {k : v for k, v in zip(l1, l2)}
2022-11-23T01:28:41.4131338Z             return d
2022-11-23T01:28:41.4131430Z  (function emitListLiteral)
2022-11-23T01:28:41.4131499Z ok (0.002s)
2022-11-23T01:28:41.4131629Z   test_for_in_dict (jit.test_typing.TestTyping) ... ok (0.009s)
2022-11-23T01:28:41.4131758Z   test_for_in_string (jit.test_typing.TestTyping) ... ok (0.015s)
2022-11-23T01:28:41.4131882Z   test_for_tuple_assign (jit.test_typing.TestTyping) ... ok (0.009s)
2022-11-23T01:28:41.4132012Z   test_for_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.016s)
2022-11-23T01:28:41.4132135Z   test_list_io (jit.test_typing.TestTyping) ... ok (0.005s)
2022-11-23T01:28:41.4132268Z   test_list_iterables (jit.test_typing.TestTyping) ... ok (0.001s)
2022-11-23T01:28:41.4132391Z   test_list_sum (jit.test_typing.TestTyping) ... ok (0.011s)
2022-11-23T01:28:41.4132565Z   test_list_type_refinement_annotation_element_mismatch (jit.test_typing.TestTyping) ... ok (0.001s)
2022-11-23T01:28:41.4132697Z   test_list_unification (jit.test_typing.TestTyping) ... ok (0.008s)
2022-11-23T01:28:41.4132830Z   test_multiple_assign (jit.test_typing.TestTyping) ... ok (0.007s)
2022-11-23T01:28:41.4132956Z   test_namedtuple_good_error (jit.test_typing.TestTyping) ... ok (0.003s)
2022-11-23T01:28:41.4133088Z   test_namedtuple_py2 (jit.test_typing.TestTyping) ... ok (0.003s)
2022-11-23T01:28:41.4133229Z   test_namedtuple_redefine (jit.test_typing.TestTyping) ... ok (0.007s)
2022-11-23T01:28:41.4133355Z   test_nested_list (jit.test_typing.TestTyping) ... ok (0.004s)
2022-11-23T01:28:41.4133524Z   test_opt_opt_refinement (jit.test_typing.TestTyping) ... ok (0.003s)
2022-11-23T01:28:41.4133663Z   test_optional_conversion (jit.test_typing.TestTyping) ... ok (0.013s)
2022-11-23T01:28:41.4133799Z   test_optional_refinement (jit.test_typing.TestTyping) ... ok (0.003s)
2022-11-23T01:28:41.4133930Z   test_optional_tuple (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T01:28:41.4134057Z   test_singleton_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.004s)
2022-11-23T01:28:41.4134189Z   test_sum_list_diff_elms (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T01:28:41.4134317Z   test_sum_list_empty (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T01:28:41.4134450Z   test_sum_list_literal (jit.test_typing.TestTyping) ... ok (0.005s)
2022-11-23T01:28:41.4134575Z   test_sum_list_one (jit.test_typing.TestTyping) ... ok (0.005s)
2022-11-23T01:28:41.4134742Z   test_sum_list_wrong_type (jit.test_typing.TestTyping) ... ok (0.001s)
2022-11-23T01:28:41.4134880Z   test_tuple_assignments (jit.test_typing.TestTyping) ... ok (0.020s)
2022-11-23T01:28:41.4135015Z   test_tuple_create_return (jit.test_typing.TestTyping) ... ok (0.005s)
2022-11-23T01:28:41.4135124Z   test_tuple_io (jit.test_typing.TestTyping) ... ok (0.004s)
2022-11-23T01:28:41.4135252Z   test_tuple_keyword (jit.test_typing.TestTyping) ... ok (0.004s)
2022-11-23T01:28:41.4135391Z   test_tuple_specialization (jit.test_typing.TestTyping) ... ok (0.006s)
2022-11-23T01:28:41.4135526Z   test_check_union_annotation (jit.test_union.TestUnion) ... ok (0.004s)
2022-11-23T01:28:41.4135680Z   test_union_T_None_is_equivalent_to_optional_T (jit.test_union.TestUnion) ... ok (0.010s)
2022-11-23T01:28:41.4135825Z   test_union_argument_order_is_ignored (jit.test_union.TestUnion) ... ok (0.004s)
2022-11-23T01:28:41.4135984Z   test_union_argument_order_is_ignored_container (jit.test_union.TestUnion) ... ok (0.004s)
2022-11-23T01:28:41.4136118Z   test_union_as_annotation (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4136262Z   test_union_as_annotation_in_typed_container (jit.test_union.TestUnion) ... ok (0.004s)
2022-11-23T01:28:41.4136398Z   test_union_as_annotation_py2 (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4136674Z   test_union_as_dict_key (jit.test_union.TestUnion) ... ok (0.008s)
2022-11-23T01:28:41.4136805Z   test_union_as_dict_value (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T01:28:41.4136947Z   test_union_as_internal_tuple_type (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4137115Z   test_union_branching_does_not_autoinfer_undeclared_union (jit.test_union.TestUnion) ... ok (0.002s)
2022-11-23T01:28:41.4137285Z   test_union_branching_does_not_widen_existing_inferred_type (jit.test_union.TestUnion) ... ok (0.002s)
2022-11-23T01:28:41.4137460Z   test_union_branching_with_union_return_and_homogenous_types (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T01:28:41.4137613Z   test_union_does_not_replace_existing_annotated_type (jit.test_union.TestUnion) ... ok (0.001s)
2022-11-23T01:28:41.4137801Z   test_union_does_not_replace_existing_annotated_type_empty_container (jit.test_union.TestUnion) ... ok (0.001s)
2022-11-23T01:28:41.4137973Z   test_union_does_not_replace_existing_annotated_type_union (jit.test_union.TestUnion) ... ok (0.001s)
2022-11-23T01:28:41.4138112Z   test_union_in_class_constructor (jit.test_union.TestUnion) ... ok (0.010s)
2022-11-23T01:28:41.4138724Z   test_union_memory_aliasing (jit.test_union.TestUnion) ... /opt/conda/lib/python3.10/site-packages/torch/_jit_internal.py:1282: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str].
2022-11-23T01:28:41.4138800Z   warnings.warn(
2022-11-23T01:28:41.4138867Z ok (0.009s)
2022-11-23T01:28:41.4139021Z   test_union_module_with_union_class_variable (jit.test_union.TestUnion) ... ok (0.006s)
2022-11-23T01:28:41.4139223Z   test_union_module_with_union_instance_variable (jit.test_union.TestUnion) ... ok (0.011s)
2022-11-23T01:28:41.4139363Z   test_union_optional_of_union_is_flattened (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T01:28:41.4139516Z   test_union_redundant_arguments_are_skipped (jit.test_union.TestUnion) ... ok (0.002s)
2022-11-23T01:28:41.4139683Z   test_union_redundant_arguments_are_skipped_container (jit.test_union.TestUnion) ... ok (0.002s)
2022-11-23T01:28:41.4139847Z   test_union_redundant_arguments_are_skipped_optional (jit.test_union.TestUnion) ... ok (0.002s)
2022-11-23T01:28:41.4140017Z   test_union_redundant_arguments_are_skipped_subtyping (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4140147Z   test_union_return_type (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4140297Z   test_union_schema_matching_on_internal_type (jit.test_union.TestUnion) ... ok (0.009s)
2022-11-23T01:28:41.4140501Z   test_union_serialization_preserves_type_annotations (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T01:28:41.4140646Z   test_union_subclasses_larger_union (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4140776Z   test_union_subtractive_refinement (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T01:28:41.4140935Z   test_union_subtractive_refinement_with_container (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T01:28:41.4141069Z   test_union_type_refinement (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T01:28:41.4141227Z   test_union_type_refinement_internal_declaration (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T01:28:41.4141404Z   test_union_type_refinement_partial_static_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T01:28:41.4141579Z   test_union_type_refinement_partial_static_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T01:28:41.4141733Z   test_union_type_refinement_statically_false (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4141888Z   test_union_type_refinement_statically_true (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4142019Z   test_union_type_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.011s)
2022-11-23T01:28:41.4142187Z   test_union_type_refinement_tuple_rhs_noncontained_type (jit.test_union.TestUnion) ... ok (0.008s)
2022-11-23T01:28:41.4142337Z   test_union_type_refinement_tuple_rhs_union (jit.test_union.TestUnion) ... ok (0.003s)
2022-11-23T01:28:41.4142481Z   test_union_type_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.004s)
2022-11-23T01:28:41.4142627Z   test_union_variable_can_be_reassigned (jit.test_union.TestUnion) ... ok (0.008s)
2022-11-23T01:28:41.4142760Z   test_union_with_collections (jit.test_union.TestUnion) ... ok (0.007s)
2022-11-23T01:28:41.4142901Z   test_union_with_dict_assignment (jit.test_union.TestUnion) ... ok (0.028s)
2022-11-23T01:28:41.4143026Z   test_union_with_enum (jit.test_union.TestUnion) ... ok (0.013s)
2022-11-23T01:28:41.4143431Z   test_union_with_list_assignment (jit.test_union.TestUnion) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T01:28:41.4143499Z   File "<string>", line 3
2022-11-23T01:28:41.4143518Z 
2022-11-23T01:28:41.4143572Z def fn():
2022-11-23T01:28:41.4143725Z     x: Union[List[str], List[torch.Tensor]] = [torch.add(1, x) for x in [torch.arange(5), 1]]
2022-11-23T01:28:41.4143915Z                                                                         ~~~~~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T01:28:41.4144035Z     if torch.jit.isinstance(x, List[torch.Tensor]):
2022-11-23T01:28:41.4144124Z         x.append(torch.tensor(3))
2022-11-23T01:28:41.4144213Z  (function emitListLiteral)
2022-11-23T01:28:41.4144587Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement.
2022-11-23T01:28:41.4144668Z   File "<string>", line 3
2022-11-23T01:28:41.4144674Z 
2022-11-23T01:28:41.4144728Z def fn():
2022-11-23T01:28:41.4144874Z     x: Union[List[torch.Tensor], int] = [torch.add(1, x) for x in [torch.arange(5), 1]]
2022-11-23T01:28:41.4145057Z                                                                   ~~~~~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T01:28:41.4145174Z     if torch.jit.isinstance(x, List[torch.Tensor]):
2022-11-23T01:28:41.4145261Z         x.append(torch.tensor(3))
2022-11-23T01:28:41.4145348Z  (function emitListLiteral)
2022-11-23T01:28:41.4145415Z ok (0.022s)
2022-11-23T01:28:41.4145542Z   test_union_with_scalar_values (jit.test_union.TestUnion) ... ok (0.005s)
2022-11-23T01:28:41.4145720Z   test_unions_of_a_single_argument_vanish (jit.test_union.TestUnion) ... ok (0.002s)
2022-11-23T01:28:41.4145866Z   test_unions_of_unions_are_flattened (jit.test_union.TestUnion) ... ok (0.002s)
2022-11-23T01:28:41.4146045Z   test_factory_ops_requires_grad_fail (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.003s)
2022-11-23T01:28:41.4146195Z   test_init_ops (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.017s)
2022-11-23T01:28:41.4146350Z   test_add_value_to_version_map (jit.test_upgraders.TestUpgraders) ... ok (0.001s)
2022-11-23T01:28:41.4146498Z   test_aten_div_scalar_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.004s)
2022-11-23T01:28:41.4146647Z   test_aten_div_tensor_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.004s)
2022-11-23T01:28:41.4146783Z   test_aten_div_tensor_out_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.003s)
2022-11-23T01:28:41.4146921Z   test_aten_full_at_4 (jit.test_upgraders.TestUpgraders) ... ok (0.003s)
2022-11-23T01:28:41.4147077Z   test_aten_full_other_variants (jit.test_upgraders.TestUpgraders) ... ok (0.005s)
2022-11-23T01:28:41.4147224Z   test_aten_full_out_at_4 (jit.test_upgraders.TestUpgraders) ... ok (0.003s)
2022-11-23T01:28:41.4147366Z   test_aten_linspace (jit.test_upgraders.TestUpgraders) ... ok (0.002s)
2022-11-23T01:28:41.4147511Z   test_aten_linspace_out (jit.test_upgraders.TestUpgraders) ... ok (0.002s)
2022-11-23T01:28:41.4147656Z   test_aten_logspace (jit.test_upgraders.TestUpgraders) ... ok (0.002s)
2022-11-23T01:28:41.4147800Z   test_aten_logspace_out (jit.test_upgraders.TestUpgraders) ... ok (0.003s)
2022-11-23T01:28:41.4147939Z   test_aten_test_serialization (jit.test_upgraders.TestUpgraders) ... ok (0.006s)
2022-11-23T01:28:41.4148103Z   test_populated_test_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok (0.003s)
2022-11-23T01:28:41.4148262Z   test_populated_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok (0.003s)
2022-11-23T01:28:41.4148374Z   test_warn (jit.test_warn.TestWarn) ... ok (0.003s)
2022-11-23T01:28:41.4148527Z   test_warn_multiple_calls_multiple_warnings (jit.test_warn.TestWarn) ... ok (0.002s)
2022-11-23T01:28:41.4148679Z   test_warn_multiple_calls_same_func_diff_stack (jit.test_warn.TestWarn) ... ok (0.007s)
2022-11-23T01:28:41.4148804Z   test_warn_once_per_func (jit.test_warn.TestWarn) ... ok (0.006s)
2022-11-23T01:28:41.4148939Z   test_warn_once_per_func_in_loop (jit.test_warn.TestWarn) ... ok (0.007s)
2022-11-23T01:28:41.4149047Z   test_warn_only_once (jit.test_warn.TestWarn) ... ok (0.003s)
2022-11-23T01:28:41.4149183Z   test_warn_only_once_in_loop_func (jit.test_warn.TestWarn) ... ok (0.005s)
2022-11-23T01:28:41.4149283Z   test_with_as (jit.test_with.TestWith)
2022-11-23T01:28:41.4149508Z Check that with statements that use the 'as' keyword to bind expressions ... ok (0.067s)
2022-11-23T01:28:41.4149614Z   test_with_errors (jit.test_with.TestWith)
2022-11-23T01:28:41.4149861Z Check that errors related to with-statements are detected and reported correctly. ... ok (0.029s)
2022-11-23T01:28:41.4149975Z   test_with_exceptions (jit.test_with.TestWith)
2022-11-23T01:28:41.4150193Z Check that exceptions thrown in the bodies of with-statements are ... ok (0.026s)
2022-11-23T01:28:41.4150313Z   test_with_no_as (jit.test_with.TestWith)
2022-11-23T01:28:41.4150550Z Check that with statements that do not use the 'as' keyword to bind expressions ... ok (0.069s)
2022-11-23T01:28:41.4150656Z   test_with_no_grad (jit.test_with.TestWith)
2022-11-23T01:28:41.4150800Z Check that torch.no_grad() works. Most of these are adapted from ... ok (0.017s)
2022-11-23T01:28:41.4150916Z   test_with_record_function (jit.test_with.TestWith)
2022-11-23T01:28:41.4151299Z Check that torch.autograd.profiler.record_function context manager is ... STAGE:2022-11-23 01:28:40 11111:11111 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:28:41.4151555Z STAGE:2022-11-23 01:28:40 11111:11111 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:28:41.4151848Z STAGE:2022-11-23 01:28:40 11111:11111 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:28:41.4151902Z ok (0.025s)
2022-11-23T01:28:41.4151922Z 
2022-11-23T01:28:41.4152110Z ----------------------------------------------------------------------
2022-11-23T01:28:41.4152191Z Ran 2542 tests in 132.652s
2022-11-23T01:28:41.4152196Z 
2022-11-23T01:28:41.4152292Z OK (skipped=115, expected failures=2)
2022-11-23T01:28:41.4152297Z 
2022-11-23T01:28:41.4152382Z Generating XML reports...
2022-11-23T01:28:41.4152709Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_alias_analysis.TestAliasAnalysis-20221123012627.xml
2022-11-23T01:28:41.4152997Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_async.TestAsync-20221123012627.xml
2022-11-23T01:28:41.4153285Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_aten_pow.TestAtenPow-20221123012627.xml
2022-11-23T01:28:41.4153592Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff.TestAutodiffJit-20221123012627.xml
2022-11-23T01:28:41.4154029Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing-20221123012627.xml
2022-11-23T01:28:41.4154328Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackends-20221123012627.xml
2022-11-23T01:28:41.4154663Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackendsWithCompiler-20221123012627.xml
2022-11-23T01:28:41.4154949Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_batch_mm.TestBatchMM-20221123012627.xml
2022-11-23T01:28:41.4155250Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestBuiltins-20221123012627.xml
2022-11-23T01:28:41.4155547Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_class_type.TestClassType-20221123012627.xml
2022-11-23T01:28:41.4155838Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_complex.TestComplex-20221123012627.xml
2022-11-23T01:28:41.4156176Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_custom_operators.TestCustomOperators-20221123012627.xml
2022-11-23T01:28:41.4156446Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dce.TestDCE-20221123012627.xml
2022-11-23T01:28:41.4156758Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dataclasses.TestDataclasses-20221123012627.xml
2022-11-23T01:28:41.4157066Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_device_analysis.TestDeviceAnalysis-20221123012627.xml
2022-11-23T01:28:41.4157341Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestDict-20221123012627.xml
2022-11-23T01:28:41.4157662Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dtype_analysis.TestDtypeAnalysis-20221123012627.xml
2022-11-23T01:28:41.4157934Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_enum.TestEnum-20221123012627.xml
2022-11-23T01:28:41.4158268Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFreezing-20221123012627.xml
2022-11-23T01:28:41.4158530Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestFrontend-20221123012627.xml
2022-11-23T01:28:41.4158862Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFrozenOptimizations-20221123012627.xml
2022-11-23T01:28:41.4159194Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_functional_blocks.TestFunctionalBlocks-20221123012627.xml
2022-11-23T01:28:41.4159582Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestFunctionalToInplaceActivation-20221123012627.xml
2022-11-23T01:28:41.4159884Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_attr.TestGetDefaultAttr-20221123012627.xml
2022-11-23T01:28:41.4160239Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_graph_rewrite_passes.TestGraphRewritePasses-20221123012627.xml
2022-11-23T01:28:41.4160514Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hash.TestHash-20221123012627.xml
2022-11-23T01:28:41.4160791Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hooks.TestHooks-20221123012627.xml
2022-11-23T01:28:41.4161105Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignorable_args.TestIgnorableArgs-20221123012627.xml
2022-11-23T01:28:41.4161456Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignore_context_manager.TestIgnoreContextManager-20221123012627.xml
2022-11-23T01:28:41.4161847Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestInplaceToFunctionalActivation-20221123012627.xml
2022-11-23T01:28:41.4162154Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_isinstance.TestIsinstance-20221123012627.xml
2022-11-23T01:28:41.4162404Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJit-20221123012627.xml
2022-11-23T01:28:41.4162698Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJitGeneratedModule-20221123012627.xml
2022-11-23T01:28:41.4162976Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_jit_utils.TestJitUtils-20221123012627.xml
2022-11-23T01:28:41.4163252Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestList-20221123012627.xml
2022-11-23T01:28:41.4163541Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_logging.TestLogging-20221123012627.xml
2022-11-23T01:28:41.4163866Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestMKLDNNReinplacing-20221123012627.xml
2022-11-23T01:28:41.4164131Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_misc.TestMisc-20221123012627.xml
2022-11-23T01:28:41.4164456Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestMixTracingScripting-20221123012627.xml
2022-11-23T01:28:41.4164740Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_models.TestModels-20221123012627.xml
2022-11-23T01:28:41.4165042Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_apis.TestModuleAPIs-20221123012627.xml
2022-11-23T01:28:41.4165376Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_containers.TestModuleContainers-20221123012627.xml
2022-11-23T01:28:41.4165703Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_interface.TestModuleInterface-20221123012627.xml
2022-11-23T01:28:41.4165980Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_modules.TestModules-20221123012627.xml
2022-11-23T01:28:41.4166278Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestNamedTuple-20221123012627.xml
2022-11-23T01:28:41.4166593Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backend_nnapi.TestNnapiBackend-20221123012627.xml
2022-11-23T01:28:41.4167008Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_op_decompositions.TestOpDecompositions-20221123012627.xml
2022-11-23T01:28:41.4167433Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo-20221123012627.xml
2022-11-23T01:28:41.4167702Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_pdt.TestPDT-20221123012627.xml
2022-11-23T01:28:41.4168046Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_parametrization.TestParametrization-20221123012627.xml
2022-11-23T01:28:41.4168344Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_peephole.TestPeephole-20221123012627.xml
2022-11-23T01:28:41.4168626Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestProducerVersion-20221123012627.xml
2022-11-23T01:28:41.4168967Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_profiler.TestProfiler-20221123012627.xml
2022-11-23T01:28:41.4169279Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_bindings.TestPythonBindings-20221123012627.xml
2022-11-23T01:28:41.4169611Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_builtins.TestPythonBuiltinOP-20221123012627.xml
2022-11-23T01:28:41.4169899Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_ir.TestPythonIr-20221123012627.xml
2022-11-23T01:28:41.4170226Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_recursive_script.TestRecursiveScript-20221123012627.xml
2022-11-23T01:28:41.4170547Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_remove_mutation.TestRemoveMutation-20221123012627.xml
2022-11-23T01:28:41.4170841Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoad-20221123012627.xml
2022-11-23T01:28:41.4171202Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load_for_op_version.TestSaveLoadForOpVersion-20221123012627.xml
2022-11-23T01:28:41.4171457Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestScript-20221123012627.xml
2022-11-23T01:28:41.4171752Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptDict-20221123012627.xml
2022-11-23T01:28:41.4172028Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptList-20221123012627.xml
2022-11-23T01:28:41.4172452Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation-20221123012627.xml
2022-11-23T01:28:41.4172772Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_script_profile.TestScriptProfile-20221123012627.xml
2022-11-23T01:28:41.4173053Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_slice.TestSlice-20221123012627.xml
2022-11-23T01:28:41.4173339Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_sparse.TestSparse-20221123012627.xml
2022-11-23T01:28:41.4173675Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_string_formatting.TestStringFormatting-20221123012627.xml
2022-11-23T01:28:41.4174037Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis-20221123012627.xml
2022-11-23T01:28:41.4174347Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestTensorBuiltins-20221123012627.xml
2022-11-23T01:28:41.4174684Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_creation_ops.TestTensorCreationOps-20221123012627.xml
2022-11-23T01:28:41.4175001Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_methods.TestTensorMethods-20221123012627.xml
2022-11-23T01:28:41.4175326Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_torchbind.TestTorchbind-20221123012627.xml
2022-11-23T01:28:41.4175612Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestTracer-20221123012627.xml
2022-11-23T01:28:41.4175918Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_type_sharing.TestTypeSharing-20221123012627.xml
2022-11-23T01:28:41.4176237Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_types.TestTypesAndAnnotation-20221123012627.xml
2022-11-23T01:28:41.4176699Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_typing.TestTyping-20221123012627.xml
2022-11-23T01:28:41.4176985Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_union.TestUnion-20221123012627.xml
2022-11-23T01:28:41.4177305Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_unsupported_ops.TestUnsupportedOps-20221123012627.xml
2022-11-23T01:28:41.4177661Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_upgraders.TestUpgraders-20221123012627.xml
2022-11-23T01:28:41.4177932Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_warn.TestWarn-20221123012627.xml
2022-11-23T01:28:41.4178200Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_with.TestWith-20221123012627.xml
2022-11-23T01:28:41.4178503Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_data_parallel.TestDataParallel-20221123012627.xml
2022-11-23T01:28:41.4178822Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoadFlatbuffer-20221123012627.xml
2022-11-23T01:28:41.4178829Z 
2022-11-23T01:28:41.4179237Z ##[endgroup]
2022-11-23T01:28:41.4179492Z FINISHED PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_e38nsma6)
2022-11-23T01:28:41.4179500Z 
2022-11-23T01:28:43.2737596Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:28:43.3522142Z Ignoring disabled issues:  []
2022-11-23T01:28:43.3685228Z Running test_jit_autocast ... [2022-11-23 01:28:43.368237]
2022-11-23T01:28:43.3687679Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_autocast.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:28:43.368507]
2022-11-23T01:29:01.0033121Z 
2022-11-23T01:29:01.0033632Z Expand the folded group to see the log file of test_jit_autocast
2022-11-23T01:29:01.0034731Z ##[group]PRINTING LOG FILE of test_jit_autocast (/var/lib/jenkins/workspace/test/test-reports/test_jit_autocast_a523l_wc)
2022-11-23T01:29:01.0035292Z CUDA not available, skipping tests
2022-11-23T01:29:01.0035529Z 
2022-11-23T01:29:01.0035645Z Running tests...
2022-11-23T01:29:01.0036334Z ----------------------------------------------------------------------
2022-11-23T01:29:01.0037046Z Test results will be stored in test-reports/python-unittest/test_jit_autocast
2022-11-23T01:29:01.0037616Z   test_autocast_api (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0038264Z   test_autocast_api_not_supported (__main__.TestAutocast) ... skip: we need to provide dtype argument at this moment (0.001s)
2022-11-23T01:29:01.0038906Z   test_autocast_autodiff (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0039514Z   test_autocast_decorator (__main__.TestAutocast) ... skip: autocast decorators not supported (0.000s)
2022-11-23T01:29:01.0040124Z   test_autocast_decorator_outside_jit (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0040646Z   test_autocast_mixed_dtypes (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0041106Z   test_callees (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0041599Z   test_callees_with_autocast_off (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0042153Z   test_callees_with_autocast_on (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0042710Z   test_conditional_autocast (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0043515Z   test_control_flow (__main__.TestAutocast) ... skip: broken due to lack of type propagation (0.001s)
2022-11-23T01:29:01.0043976Z   test_divergent_autocast (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0044400Z   test_divergent_types (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0044887Z   test_duplicate_inputs (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0045568Z   test_eager_and_script (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0046246Z   test_explicit_casts (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0046900Z   test_fp32_policy (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0047583Z   test_fp32_policy_with_fp64 (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0048470Z   test_fp32_set_opt_dtype_policy (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0049202Z   test_fp32_set_opt_dtype_policy_fp64 (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0049846Z   test_ignore_amp (__main__.TestAutocast) ... ok (0.014s)
2022-11-23T01:29:01.0050524Z   test_implicitly_nested_autocast (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0051225Z   test_inplace (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0051881Z   test_jit_autocast_softmax_cpu (__main__.TestAutocast) ... ok (0.058s)
2022-11-23T01:29:01.0052608Z   test_jit_autocast_softmax_gpu (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0053359Z   test_jit_call_method_under_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0054105Z   test_jit_executor_under_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0054848Z   test_jit_freeze_autocast_basic (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0055614Z   test_jit_freeze_autocast_constants (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0056388Z   test_linear_bf16 (__main__.TestAutocast) ... skip: No cuda bfloat16 support (0.000s)
2022-11-23T01:29:01.0057365Z   test_minimal (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0058011Z   test_minimal_cpu (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0058653Z   test_minimal_off (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0059310Z   test_nested_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0059994Z   test_promote_policy (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0060667Z   test_promote_policy_fp64 (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0061370Z   test_reused_autocast (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0062131Z   test_reused_autocast_expr (__main__.TestAutocast) ... skip: unsuported autocast syntax (0.001s)
2022-11-23T01:29:01.0062929Z   test_runtime_autocast_state (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0063657Z   test_runtime_autocast_state_expr (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0064378Z   test_script_and_tracing (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0065254Z   test_script_and_tracing_with_autocast (__main__.TestAutocast) ... skip: autocast(False) is ignored inside traced functions (0.000s)
2022-11-23T01:29:01.0066090Z   test_script_module (__main__.TestAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0066794Z   test_tracing_and_script (__main__.TestAutocast) ... skip: No cuda (0.000s)
2022-11-23T01:29:01.0067701Z   test_tracing_with_autocast_and_script (__main__.TestAutocast) ... skip: scripted called from traced TorchScript is not yet working (0.000s)
2022-11-23T01:29:01.0068600Z   test_cat_promote (__main__.TestJitTraceAutocast) ... ok (0.257s)
2022-11-23T01:29:01.0069302Z   test_generate_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (3.839s)
2022-11-23T01:29:01.0070206Z   test_nchw_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (5.152s)
2022-11-23T01:29:01.0070994Z   test_nhwc_autocast_jit_trace_model (__main__.TestJitTraceAutocast) ... ok (4.693s)
2022-11-23T01:29:01.0071785Z   test_script_autocast_cpu (__main__.TestJitTraceAutocast) ... ok (0.144s)
2022-11-23T01:29:01.0072544Z   test_script_autocast_cuda (__main__.TestJitTraceAutocast) ... skip: No cuda (0.001s)
2022-11-23T01:29:01.0073370Z   test_script_autocast_enable_and_check (__main__.TestJitTraceAutocast) ... ok (0.163s)
2022-11-23T01:29:01.0074228Z   test_scripted_aliasing (__main__.TestJitTraceAutocast) ... ok (0.152s)
2022-11-23T01:29:01.0074637Z 
2022-11-23T01:29:01.0075160Z ----------------------------------------------------------------------
2022-11-23T01:29:01.0075714Z Ran 53 tests in 14.507s
2022-11-23T01:29:01.0076102Z 
2022-11-23T01:29:01.0076273Z OK (skipped=44)
2022-11-23T01:29:01.0076534Z 
2022-11-23T01:29:01.0076726Z Generating XML reports...
2022-11-23T01:29:01.0077712Z Generated XML report: test-reports/python-unittest/test_jit_autocast/TEST-TestAutocast-20221123012845.xml
2022-11-23T01:29:01.0079002Z Generated XML report: test-reports/python-unittest/test_jit_autocast/TEST-TestJitTraceAutocast-20221123012845.xml
2022-11-23T01:29:01.0079597Z 
2022-11-23T01:29:01.0080166Z ##[endgroup]
2022-11-23T01:29:01.0081049Z FINISHED PRINTING LOG FILE of test_jit_autocast (/var/lib/jenkins/workspace/test/test-reports/test_jit_autocast_a523l_wc)
2022-11-23T01:29:01.0081569Z 
2022-11-23T01:29:02.9118416Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:29:02.9928916Z Ignoring disabled issues:  []
2022-11-23T01:29:03.0102086Z Running test_jit_fuser_te ... [2022-11-23 01:29:03.009863]
2022-11-23T01:29:03.0103152Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_fuser_te.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:29:03.010119]
2022-11-23T01:30:19.1761163Z 
2022-11-23T01:30:19.1761942Z Expand the folded group to see the log file of inductor/test_torchinductor
2022-11-23T01:30:19.1762797Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_h8vzjf07)
2022-11-23T01:30:19.1864686Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:19.1865182Z 
2022-11-23T01:30:19.1865305Z Running tests...
2022-11-23T01:30:19.1865879Z ----------------------------------------------------------------------
2022-11-23T01:30:19.1879371Z Test results will be stored in test-reports/python-unittest/inductor.test_torchinductor
2022-11-23T01:30:19.1880740Z   test_auto_simd (__main__.CPUReproTests) ... ok (0.281s)
2022-11-23T01:30:19.1881244Z   test_complex_memory_overlap (__main__.CPUReproTests) ... ok (0.002s)
2022-11-23T01:30:19.1882195Z   test_conv_stride_constraints (__main__.CPUReproTests) ... [2022-11-23 01:21:35,921] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:19.1883394Z [2022-11-23 01:21:37,390] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7iyv7dvcolgqlnjpdc2ophj6ebnnoj6h4qsyiajwltoq6gkoyy6.py
2022-11-23T01:30:19.1884401Z [2022-11-23 01:21:37,390] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:19.1885239Z [2022-11-23 01:21:37,396] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:19.1886278Z [2022-11-23 01:21:37,401] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7itsynl2vkz7jitbl4iklwk2omp6o5ztdmjbaivkv3lhw2d65e4.py
2022-11-23T01:30:19.1887261Z [2022-11-23 01:21:37,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:19.1887612Z 
2022-11-23T01:30:19.1887784Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.1888143Z import torch
2022-11-23T01:30:19.1888436Z import random
2022-11-23T01:30:19.1888783Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.1889544Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.1889823Z 
2022-11-23T01:30:19.1889966Z aten = torch.ops.aten
2022-11-23T01:30:19.1890327Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.1890728Z async_compile = AsyncCompile()
2022-11-23T01:30:19.1890933Z 
2022-11-23T01:30:19.1890941Z 
2022-11-23T01:30:19.1891202Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.1891781Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.1892389Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.1892826Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.1893158Z {
2022-11-23T01:30:19.1893480Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.1893967Z     {
2022-11-23T01:30:19.1894297Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.1894635Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.1894954Z         {
2022-11-23T01:30:19.1895276Z             for(long i1=0; i1<5; i1+=1)
2022-11-23T01:30:19.1895602Z             {
2022-11-23T01:30:19.1895925Z                 #pragma GCC ivdep
2022-11-23T01:30:19.1896272Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T01:30:19.1897020Z                 {
2022-11-23T01:30:19.1897315Z                     {
2022-11-23T01:30:19.1897598Z                         {
2022-11-23T01:30:19.1897969Z                             auto tmp0 = in_ptr0[i2 + (256*i1) + (1280*i0)];
2022-11-23T01:30:19.1898391Z                             out_ptr0[i1 + (5*i2) + (1280*i0)] = tmp0;
2022-11-23T01:30:19.1898726Z                         }
2022-11-23T01:30:19.1899027Z                     }
2022-11-23T01:30:19.1899313Z                 }
2022-11-23T01:30:19.1899579Z             }
2022-11-23T01:30:19.1899860Z         }
2022-11-23T01:30:19.1900125Z     }
2022-11-23T01:30:19.1900370Z }
2022-11-23T01:30:19.1900679Z ''')
2022-11-23T01:30:19.1900848Z 
2022-11-23T01:30:19.1900856Z 
2022-11-23T01:30:19.1901025Z async_compile.wait(globals())
2022-11-23T01:30:19.1901355Z del async_compile
2022-11-23T01:30:19.1901551Z 
2022-11-23T01:30:19.1901678Z def call(args):
2022-11-23T01:30:19.1902002Z     inp_1, weight_1 = args
2022-11-23T01:30:19.1902314Z     args.clear()
2022-11-23T01:30:19.1902898Z     buf0 = empty_strided((2, 5, 16, 16), (1280, 1, 80, 5), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.1903420Z     kernel_cpp_0(c_void_p(inp_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.1903821Z     del inp_1
2022-11-23T01:30:19.1904229Z     buf1 = aten.convolution(buf0, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.1904701Z     assert_size_stride(buf1, (2, 6, 14, 14), (1176, 1, 84, 6))
2022-11-23T01:30:19.1905117Z     del buf0
2022-11-23T01:30:19.1905394Z     del weight_1
2022-11-23T01:30:19.1905708Z     return (buf1, )
2022-11-23T01:30:19.1905899Z 
2022-11-23T01:30:19.1905907Z 
2022-11-23T01:30:19.1906043Z if __name__ == "__main__":
2022-11-23T01:30:19.1944764Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.1945272Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.1946362Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.1947516Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 1, 15, 5), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.1948121Z     print_performance(lambda: call([inp_1, weight_1]))
2022-11-23T01:30:19.1948502Z 
2022-11-23T01:30:19.1948510Z 
2022-11-23T01:30:19.1948890Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.1949357Z import torch
2022-11-23T01:30:19.1949652Z import random
2022-11-23T01:30:19.1950144Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.1950905Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.1951289Z 
2022-11-23T01:30:19.1951431Z aten = torch.ops.aten
2022-11-23T01:30:19.1952164Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.1953182Z async_compile = AsyncCompile()
2022-11-23T01:30:19.1953425Z 
2022-11-23T01:30:19.1953432Z 
2022-11-23T01:30:19.1953704Z async_compile.wait(globals())
2022-11-23T01:30:19.1954107Z del async_compile
2022-11-23T01:30:19.1954306Z 
2022-11-23T01:30:19.1954430Z def call(args):
2022-11-23T01:30:19.1954750Z     inp_1, weight_1 = args
2022-11-23T01:30:19.1955056Z     args.clear()
2022-11-23T01:30:19.1955477Z     buf0 = aten.convolution(inp_1, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.1955957Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T01:30:19.1956311Z     del inp_1
2022-11-23T01:30:19.1956592Z     del weight_1
2022-11-23T01:30:19.1956899Z     return (buf0, )
2022-11-23T01:30:19.1957087Z 
2022-11-23T01:30:19.1957094Z 
2022-11-23T01:30:19.1957325Z if __name__ == "__main__":
2022-11-23T01:30:19.1957698Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.1958176Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.1958865Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.1959523Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.1960014Z     print_performance(lambda: call([inp_1, weight_1]))
2022-11-23T01:30:19.1960277Z 
2022-11-23T01:30:19.1960393Z ok (1.490s)
2022-11-23T01:30:19.2012688Z   test_inplace_add_alpha (__main__.CPUReproTests) ... [2022-11-23 01:21:37,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:19.2013807Z [2022-11-23 01:21:38,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm2jydh6mw6rvyvoewoetthlpwkzvnzjcildf25453ntiighl5mk.py
2022-11-23T01:30:19.2014765Z [2022-11-23 01:21:38,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:19.2015099Z 
2022-11-23T01:30:19.2015256Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2016648Z import torch
2022-11-23T01:30:19.2016961Z import random
2022-11-23T01:30:19.2017313Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2017765Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2017988Z 
2022-11-23T01:30:19.2018121Z aten = torch.ops.aten
2022-11-23T01:30:19.2018544Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2018963Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2019174Z 
2022-11-23T01:30:19.2019179Z 
2022-11-23T01:30:19.2019420Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2019982Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2020569Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2020989Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.2021349Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.2021654Z {
2022-11-23T01:30:19.2021967Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2022253Z     {
2022-11-23T01:30:19.2022511Z         #pragma omp for 
2022-11-23T01:30:19.2022802Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.2023075Z         {
2022-11-23T01:30:19.2023443Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.2023916Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.2024375Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(0.55));
2022-11-23T01:30:19.2024757Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:30:19.2025086Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:19.2025413Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.2025683Z         }
2022-11-23T01:30:19.2025992Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.2026321Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:19.2026565Z         {
2022-11-23T01:30:19.2027038Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:30:19.2027381Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.2027731Z             auto tmp2 = static_cast<float>(0.55);
2022-11-23T01:30:19.2028065Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:30:19.2028412Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:19.2028726Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.2029018Z         }
2022-11-23T01:30:19.2029284Z     }
2022-11-23T01:30:19.2029514Z }
2022-11-23T01:30:19.2029831Z ''')
2022-11-23T01:30:19.2029979Z 
2022-11-23T01:30:19.2029987Z 
2022-11-23T01:30:19.2030134Z async_compile.wait(globals())
2022-11-23T01:30:19.2030450Z del async_compile
2022-11-23T01:30:19.2030619Z 
2022-11-23T01:30:19.2030731Z def call(args):
2022-11-23T01:30:19.2031029Z     x_1, y_1 = args
2022-11-23T01:30:19.2031439Z     args.clear()
2022-11-23T01:30:19.2031868Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(x_1.data_ptr()))
2022-11-23T01:30:19.2032263Z     del y_1
2022-11-23T01:30:19.2032580Z     return (x_1, )
2022-11-23T01:30:19.2032753Z 
2022-11-23T01:30:19.2032763Z 
2022-11-23T01:30:19.2032900Z if __name__ == "__main__":
2022-11-23T01:30:19.2033298Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2033714Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2034325Z     x_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2034930Z     y_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2035348Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T01:30:19.2035564Z 
2022-11-23T01:30:19.2087765Z ok (1.390s)
2022-11-23T01:30:19.2088724Z   test_inplace_squeeze_needed (__main__.CPUReproTests) ... [2022-11-23 01:21:38,794] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:30:19.2089635Z [2022-11-23 01:21:38,794] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:30:19.2090388Z [2022-11-23 01:21:38,794] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:30:19.2091101Z [2022-11-23 01:21:38,794] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:30:19.2091778Z [2022-11-23 01:21:38,794] torch._dynamo.eval_frame: [DEBUG] skipping enable_dynamic /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:30:19.2092369Z [2022-11-23 01:21:38,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.2093049Z [2022-11-23 01:21:38,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4698
2022-11-23T01:30:19.2093656Z [2022-11-23 01:21:38,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF mod []
2022-11-23T01:30:19.2094213Z [2022-11-23 01:21:38,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.2094816Z [2022-11-23 01:21:38,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.2095438Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.2095941Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.2096664Z [2022-11-23 01:21:38,810] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.2097236Z [2022-11-23 01:21:38,819] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.2097745Z [2022-11-23 01:21:38,819] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.2098103Z  __compiled_fn_0 <eval_with_key>.7 opcode, name, target, args, kwargs
2022-11-23T01:30:19.2098445Z placeholder, x, x, (), {}
2022-11-23T01:30:19.2098739Z call_module, mod_0, mod_0, (x,), {}
2022-11-23T01:30:19.2099124Z call_module, mod_1, mod_1, (mod_0,), {}
2022-11-23T01:30:19.2099423Z call_module, mod_2, mod_2, (mod_1,), {}
2022-11-23T01:30:19.2099711Z output, output, output, ((mod_2,),), {}
2022-11-23T01:30:19.2099901Z 
2022-11-23T01:30:19.2100338Z [2022-11-23 01:21:38,819] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4696 
2022-11-23T01:30:19.2100763Z 4698           0 LOAD_DEREF               0 (mod)
2022-11-23T01:30:19.2101078Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:19.2101396Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.2101658Z                6 RETURN_VALUE
2022-11-23T01:30:19.2101822Z 
2022-11-23T01:30:19.2101885Z  
2022-11-23T01:30:19.2102542Z [2022-11-23 01:21:38,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4696 
2022-11-23T01:30:19.2103167Z 4696           0 LOAD_GLOBAL              0 (__compiled_fn_0)
2022-11-23T01:30:19.2103545Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:19.2103867Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.2104190Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.2104468Z                8 RETURN_VALUE
2022-11-23T01:30:19.2104660Z 
2022-11-23T01:30:19.2104752Z  
2022-11-23T01:30:19.2105197Z [2022-11-23 01:21:38,921] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.2105506Z  - 
2022-11-23T01:30:19.2105818Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:19.2106080Z             {
2022-11-23T01:30:19.2106399Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2106740Z                 'code': None,
2022-11-23T01:30:19.2107167Z                 'obj_weakref': <weakref at 0x7ff5a9790f40; to 'Tensor' at 0x7ff6383cf8d0>
2022-11-23T01:30:19.2107733Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2108062Z             }
2022-11-23T01:30:19.2108258Z             
2022-11-23T01:30:19.2108416Z  - 
2022-11-23T01:30:19.2108622Z             local 'mod' NN_MODULE
2022-11-23T01:30:19.2108799Z             {
2022-11-23T01:30:19.2109102Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.2109498Z                 'code': ['___check_obj_id(mod, 140695482538000)'],
2022-11-23T01:30:19.2109995Z                 'obj_weakref': <weakref at 0x7ff5a981c450; to 'Sequential' at 0x7ff638421810>
2022-11-23T01:30:19.2110553Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.2110866Z             }
2022-11-23T01:30:19.2111096Z             
2022-11-23T01:30:19.2111296Z  - 
2022-11-23T01:30:19.2111559Z             local_nn_module 'mod[0]' NN_MODULE
2022-11-23T01:30:19.2111810Z             {
2022-11-23T01:30:19.2112106Z                 'guard_types': None,
2022-11-23T01:30:19.2112397Z                 'code': None,
2022-11-23T01:30:19.2112694Z                 'obj_weakref': None
2022-11-23T01:30:19.2113009Z                 'guarded_class': None
2022-11-23T01:30:19.2113178Z             }
2022-11-23T01:30:19.2113361Z             
2022-11-23T01:30:19.2113595Z  - 
2022-11-23T01:30:19.2113933Z             local_nn_module 'mod[1]' NN_MODULE
2022-11-23T01:30:19.2114180Z             {
2022-11-23T01:30:19.2114486Z                 'guard_types': None,
2022-11-23T01:30:19.2114787Z                 'code': None,
2022-11-23T01:30:19.2115057Z                 'obj_weakref': None
2022-11-23T01:30:19.2115357Z                 'guarded_class': None
2022-11-23T01:30:19.2115581Z             }
2022-11-23T01:30:19.2115779Z             
2022-11-23T01:30:19.2116010Z  - 
2022-11-23T01:30:19.2116311Z             local_nn_module 'mod[2]' NN_MODULE
2022-11-23T01:30:19.2116578Z             {
2022-11-23T01:30:19.2116880Z                 'guard_types': None,
2022-11-23T01:30:19.2117168Z                 'code': None,
2022-11-23T01:30:19.2117498Z                 'obj_weakref': None
2022-11-23T01:30:19.2117896Z                 'guarded_class': None
2022-11-23T01:30:19.2118151Z             }
2022-11-23T01:30:19.2118354Z             
2022-11-23T01:30:19.2118917Z [2022-11-23 01:21:38,921] torch._dynamo.eval_frame: [DEBUG] skipping _fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:30:19.2119657Z [2022-11-23 01:21:38,921] torch._dynamo.eval_frame: [DEBUG] skipping nothing /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:30:19.2120268Z [2022-11-23 01:21:39,037] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 0
2022-11-23T01:30:19.2120982Z [2022-11-23 01:21:40,552] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cvinstuwloedhvnuzb46rfcseww2iaiqid3nj2adte4pdaxkeyqd.py
2022-11-23T01:30:19.2121665Z [2022-11-23 01:21:40,553] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 0
2022-11-23T01:30:19.2122284Z [2022-11-23 01:21:40,556] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:30:19.2122854Z [2022-11-23 01:21:40,556] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.10/contextlib.py
2022-11-23T01:30:19.2123121Z 
2022-11-23T01:30:19.2123256Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2123542Z import torch
2022-11-23T01:30:19.2123752Z import random
2022-11-23T01:30:19.2124047Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2124370Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2124597Z 
2022-11-23T01:30:19.2124706Z aten = torch.ops.aten
2022-11-23T01:30:19.2125007Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2125332Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2125519Z 
2022-11-23T01:30:19.2125526Z 
2022-11-23T01:30:19.2125704Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2126119Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2126552Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.2126825Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:19.2127141Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.2127473Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.2127798Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:30:19.2128108Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.2128404Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.2128686Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.2128995Z                        bool* __restrict__ out_ptr4)
2022-11-23T01:30:19.2129216Z {
2022-11-23T01:30:19.2129452Z     auto in_ptr0 = in_out_ptr0;
2022-11-23T01:30:19.2129708Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:30:19.2129930Z     {
2022-11-23T01:30:19.2130321Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:19.2130673Z         float tmp3 = 0;
2022-11-23T01:30:19.2130950Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:19.2131292Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2131517Z         {
2022-11-23T01:30:19.2131776Z             #pragma omp for reduction(+:tmp3_vec) 
2022-11-23T01:30:19.2132081Z             for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.2132343Z             {
2022-11-23T01:30:19.2132652Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.2133028Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.2133360Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.2133649Z                 tmp3_vec += tmp2;
2022-11-23T01:30:19.2133878Z             }
2022-11-23T01:30:19.2134222Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:30:19.2134554Z             #pragma omp for simd simdlen(4) reduction(+:tmp3) 
2022-11-23T01:30:19.2134844Z             for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:19.2135084Z             {
2022-11-23T01:30:19.2135297Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.2135545Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.2135782Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.2136053Z                 tmp3 += tmp2;
2022-11-23T01:30:19.2136302Z             }
2022-11-23T01:30:19.2193507Z         }
2022-11-23T01:30:19.2193788Z         out_ptr0[0] = tmp3;
2022-11-23T01:30:19.2194090Z     }
2022-11-23T01:30:19.2194293Z     {
2022-11-23T01:30:19.2194701Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:19.2195253Z         float tmp8 = 0;
2022-11-23T01:30:19.2195561Z         auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2022-11-23T01:30:19.2195866Z         float tmp9 = 0;
2022-11-23T01:30:19.2196199Z         auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2022-11-23T01:30:19.2196544Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2196836Z         {
2022-11-23T01:30:19.2197170Z             #pragma omp for reduction(+:tmp8_vec) reduction(+:tmp9_vec) 
2022-11-23T01:30:19.2197526Z             for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.2197773Z             {
2022-11-23T01:30:19.2198109Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.2198537Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.2198931Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[0]);
2022-11-23T01:30:19.2199281Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.2199656Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:30:19.2200022Z                 auto tmp5 = tmp3 / tmp4;
2022-11-23T01:30:19.2200415Z                 auto tmp6 = tmp2 - tmp5;
2022-11-23T01:30:19.2200724Z                 auto tmp7 = tmp6.pow(2);
2022-11-23T01:30:19.2201022Z                 tmp8_vec += tmp7;
2022-11-23T01:30:19.2201281Z                 tmp9_vec += tmp2;
2022-11-23T01:30:19.2201536Z             }
2022-11-23T01:30:19.2201959Z             tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2022-11-23T01:30:19.2202532Z             tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2022-11-23T01:30:19.2203020Z             #pragma omp for simd simdlen(4) reduction(+:tmp8) reduction(+:tmp9) 
2022-11-23T01:30:19.2203392Z             for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:19.2203659Z             {
2022-11-23T01:30:19.2203917Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.2204218Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.2204516Z                 auto tmp3 = out_ptr0[0];
2022-11-23T01:30:19.2204801Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.2205127Z                 auto tmp4 = static_cast<float>(10);
2022-11-23T01:30:19.2205454Z                 auto tmp5 = tmp3 / tmp4;
2022-11-23T01:30:19.2205814Z                 auto tmp6 = tmp2 - tmp5;
2022-11-23T01:30:19.2206091Z                 auto tmp7 = tmp6 * tmp6;
2022-11-23T01:30:19.2206359Z                 tmp8 += tmp7;
2022-11-23T01:30:19.2206627Z                 tmp9 += tmp2;
2022-11-23T01:30:19.2206854Z             }
2022-11-23T01:30:19.2207091Z         }
2022-11-23T01:30:19.2207342Z         out_ptr1[0] = tmp8;
2022-11-23T01:30:19.2207602Z         out_ptr2[0] = tmp9;
2022-11-23T01:30:19.2207856Z     }
2022-11-23T01:30:19.2208134Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2208399Z     {
2022-11-23T01:30:19.2208650Z         #pragma omp for 
2022-11-23T01:30:19.2208935Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:19.2209258Z         {
2022-11-23T01:30:19.2209487Z             {
2022-11-23T01:30:19.2209722Z                 {
2022-11-23T01:30:19.2209982Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.2210292Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.2210592Z                     auto tmp3 = out_ptr2[0];
2022-11-23T01:30:19.2210873Z                     auto tmp7 = out_ptr1[0];
2022-11-23T01:30:19.2211183Z                     auto tmp14 = in_ptr2[i0];
2022-11-23T01:30:19.2211489Z                     auto tmp16 = in_ptr3[i0];
2022-11-23T01:30:19.2211774Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.2212096Z                     auto tmp4 = static_cast<float>(10);
2022-11-23T01:30:19.2212418Z                     auto tmp5 = tmp3 / tmp4;
2022-11-23T01:30:19.2212803Z                     auto tmp6 = tmp2 - tmp5;
2022-11-23T01:30:19.2213074Z                     auto tmp8 = tmp7 / tmp4;
2022-11-23T01:30:19.2213456Z                     auto tmp9 = static_cast<float>(1e-05);
2022-11-23T01:30:19.2213793Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:19.2214123Z                     auto tmp11 = std::sqrt(tmp10);
2022-11-23T01:30:19.2214406Z                     auto tmp12 = 1 / tmp11;
2022-11-23T01:30:19.2214732Z                     auto tmp13 = tmp6 * tmp12;
2022-11-23T01:30:19.2215027Z                     auto tmp15 = tmp13 * tmp14;
2022-11-23T01:30:19.2215334Z                     auto tmp17 = tmp15 + tmp16;
2022-11-23T01:30:19.2215639Z                     auto tmp18 = tmp17 * (tmp17>0);
2022-11-23T01:30:19.2215940Z                     auto tmp19 = static_cast<float>(0);
2022-11-23T01:30:19.2216268Z                     auto tmp20 = tmp18 <= tmp19;
2022-11-23T01:30:19.2216690Z                     in_out_ptr0[i0] = tmp13;
2022-11-23T01:30:19.2216955Z                     out_ptr3[i0] = tmp18;
2022-11-23T01:30:19.2217190Z                     out_ptr4[i0] = tmp20;
2022-11-23T01:30:19.2217419Z                 }
2022-11-23T01:30:19.2217624Z             }
2022-11-23T01:30:19.2217840Z         }
2022-11-23T01:30:19.2218093Z         #pragma omp single
2022-11-23T01:30:19.2218333Z         {
2022-11-23T01:30:19.2218544Z             {
2022-11-23T01:30:19.2218777Z                 {
2022-11-23T01:30:19.2219020Z                     auto tmp0 = out_ptr1[0];
2022-11-23T01:30:19.2219294Z                     auto tmp1 = static_cast<float>(10);
2022-11-23T01:30:19.2219608Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.2220006Z                     auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:30:19.2220305Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.2220625Z                     auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:30:19.2220915Z                     auto tmp6 = 1 / tmp5;
2022-11-23T01:30:19.2221189Z                     auto tmp7 = tmp6 / tmp1;
2022-11-23T01:30:19.2221476Z                     in_out_ptr1[0] = tmp7;
2022-11-23T01:30:19.2221731Z                 }
2022-11-23T01:30:19.2221943Z             }
2022-11-23T01:30:19.2222164Z         }
2022-11-23T01:30:19.2222357Z     }
2022-11-23T01:30:19.2222549Z }
2022-11-23T01:30:19.2222785Z ''')
2022-11-23T01:30:19.2222917Z 
2022-11-23T01:30:19.2222923Z 
2022-11-23T01:30:19.2223050Z async_compile.wait(globals())
2022-11-23T01:30:19.2223293Z del async_compile
2022-11-23T01:30:19.2223453Z 
2022-11-23T01:30:19.2223559Z def call(args):
2022-11-23T01:30:19.2223885Z     primals_1, primals_2, primals_3, primals_4, primals_5 = args
2022-11-23T01:30:19.2224209Z     args.clear()
2022-11-23T01:30:19.2224608Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2225040Z     aten.mm.out(as_strided(primals_5, (1, 10), (10, 1)), as_strided(primals_1, (10, 10), (1, 10)), out=buf0)
2022-11-23T01:30:19.2225358Z     del primals_1
2022-11-23T01:30:19.2225761Z     buf1 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2226257Z     buf2 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2226706Z     buf3 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2226972Z     buf4 = as_strided(buf0, (10, ), (1, )); del buf0  # reuse
2022-11-23T01:30:19.2227315Z     buf5 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2227755Z     buf6 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.2228113Z     buf7 = buf2; del buf2  # reuse
2022-11-23T01:30:19.2228791Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2022-11-23T01:30:19.2229346Z     del buf1
2022-11-23T01:30:19.2229658Z     del buf3
2022-11-23T01:30:19.2229922Z     del primals_2
2022-11-23T01:30:19.2230210Z     del primals_4
2022-11-23T01:30:19.2230617Z     return (buf5, primals_3, as_strided(primals_5, (1, 10), (10, 1)), buf4, buf6, buf7, )
2022-11-23T01:30:19.2230902Z 
2022-11-23T01:30:19.2230909Z 
2022-11-23T01:30:19.2231040Z if __name__ == "__main__":
2022-11-23T01:30:19.2231426Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2231814Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2232375Z     primals_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2232901Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2233485Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2234161Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2234755Z     primals_5 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2235288Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5]))
2022-11-23T01:30:19.2235598Z 
2022-11-23T01:30:19.2235694Z ok (1.765s)
2022-11-23T01:30:19.2236394Z   test_masked_fill_softmax (__main__.CPUReproTests) ... [2022-11-23 01:21:40,560] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.2237306Z [2022-11-23 01:21:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4853
2022-11-23T01:30:19.2238005Z [2022-11-23 01:21:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask []
2022-11-23T01:30:19.2238649Z [2022-11-23 01:21:40,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:30:19.2239429Z [2022-11-23 01:21:40,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:30:19.2240518Z [2022-11-23 01:21:40,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [GetAttrVariable(TensorVariable(), to), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.2241558Z [2022-11-23 01:21:40,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(dtype)]
2022-11-23T01:30:19.2242337Z [2022-11-23 01:21:40,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mask [TensorVariable()]
2022-11-23T01:30:19.2243271Z [2022-11-23 01:21:40,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4854
2022-11-23T01:30:19.2244097Z [2022-11-23 01:21:40,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.2245053Z [2022-11-23 01:21:40,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.2246177Z [2022-11-23 01:21:40,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(<built-in method masked_fill of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.2247287Z [2022-11-23 01:21:40,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(<built-in method masked_fill of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.2248456Z [2022-11-23 01:21:40,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -33.0 [TorchVariable(<built-in method masked_fill of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.2249746Z [2022-11-23 01:21:40,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method masked_fill of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.2250675Z [2022-11-23 01:21:40,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.2251627Z [2022-11-23 01:21:40,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4855
2022-11-23T01:30:19.2252454Z [2022-11-23 01:21:40,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.2253292Z [2022-11-23 01:21:40,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.2254091Z [2022-11-23 01:21:40,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.2254809Z [2022-11-23 01:21:40,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.2255780Z [2022-11-23 01:21:40,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.2256672Z [2022-11-23 01:21:40,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.2257327Z [2022-11-23 01:21:40,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.2257974Z [2022-11-23 01:21:40,569] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.2258626Z [2022-11-23 01:21:40,575] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.2259193Z [2022-11-23 01:21:40,575] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.2259625Z  __compiled_fn_1 <eval_with_key>.18 opcode, name, target, args, kwargs
2022-11-23T01:30:19.2259975Z placeholder, value, value, (), {}
2022-11-23T01:30:19.2260300Z placeholder, mask, mask, (), {}
2022-11-23T01:30:19.2260624Z call_method, to, to, (mask, torch.bool), {}
2022-11-23T01:30:19.2261321Z call_function, masked_fill, <built-in method masked_fill of type object at 0x7ff5d7c59c60>, (value, to, -33.0), {}
2022-11-23T01:30:19.2261903Z call_function, softmax, <built-in method softmax of type object at 0x7ff5d7c59c60>, (masked_fill, -1), {}
2022-11-23T01:30:19.2262347Z output, output, output, ((softmax,),), {}
2022-11-23T01:30:19.2262568Z 
2022-11-23T01:30:19.2263129Z [2022-11-23 01:21:40,575] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4852 
2022-11-23T01:30:19.2263652Z 4853           0 LOAD_FAST                1 (mask)
2022-11-23T01:30:19.2263985Z                2 LOAD_METHOD              0 (to)
2022-11-23T01:30:19.2264341Z                4 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.2264704Z                6 LOAD_ATTR                2 (bool)
2022-11-23T01:30:19.2265064Z                8 CALL_METHOD              1
2022-11-23T01:30:19.2265330Z               10 STORE_FAST               1 (mask)
2022-11-23T01:30:19.2265488Z 
2022-11-23T01:30:19.2265718Z 4854          12 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.2265995Z               14 LOAD_METHOD              3 (masked_fill)
2022-11-23T01:30:19.2266300Z               16 LOAD_FAST                0 (value)
2022-11-23T01:30:19.2266601Z               18 LOAD_FAST                1 (mask)
2022-11-23T01:30:19.2266950Z               20 LOAD_CONST               1 (-33.0)
2022-11-23T01:30:19.2267234Z               22 CALL_METHOD              3
2022-11-23T01:30:19.2267544Z               24 STORE_FAST               2 (x)
2022-11-23T01:30:19.2267733Z 
2022-11-23T01:30:19.2267824Z 4855          26 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.2268133Z               28 LOAD_METHOD              4 (softmax)
2022-11-23T01:30:19.2268428Z               30 LOAD_FAST                2 (x)
2022-11-23T01:30:19.2268793Z               32 LOAD_CONST               2 (-1)
2022-11-23T01:30:19.2269161Z               34 CALL_METHOD              2
2022-11-23T01:30:19.2269449Z               36 RETURN_VALUE
2022-11-23T01:30:19.2269617Z 
2022-11-23T01:30:19.2269707Z  
2022-11-23T01:30:19.2270330Z [2022-11-23 01:21:40,575] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4852 
2022-11-23T01:30:19.2270812Z 4852           0 LOAD_GLOBAL              5 (__compiled_fn_1)
2022-11-23T01:30:19.2271122Z                2 LOAD_FAST                0 (value)
2022-11-23T01:30:19.2271410Z                4 LOAD_FAST                1 (mask)
2022-11-23T01:30:19.2271716Z                6 CALL_FUNCTION            2
2022-11-23T01:30:19.2272015Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.2272297Z               10 RETURN_VALUE
2022-11-23T01:30:19.2272443Z 
2022-11-23T01:30:19.2272535Z  
2022-11-23T01:30:19.2272930Z [2022-11-23 01:21:40,576] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.2273236Z  - 
2022-11-23T01:30:19.2273512Z             local 'mask' TENSOR_MATCH
2022-11-23T01:30:19.2273766Z             {
2022-11-23T01:30:19.2274194Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2274507Z                 'code': None,
2022-11-23T01:30:19.2274915Z                 'obj_weakref': <weakref at 0x7ff5a87f3060; to 'Tensor' at 0x7ff5a8c11c60>
2022-11-23T01:30:19.2275471Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2275796Z             }
2022-11-23T01:30:19.2276040Z             
2022-11-23T01:30:19.2276278Z  - 
2022-11-23T01:30:19.2276579Z             local 'value' TENSOR_MATCH
2022-11-23T01:30:19.2276841Z             {
2022-11-23T01:30:19.2277164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2277506Z                 'code': None,
2022-11-23T01:30:19.2277925Z                 'obj_weakref': <weakref at 0x7ff5a8c2c3b0; to 'Tensor' at 0x7ff5a8c11d50>
2022-11-23T01:30:19.2278476Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2278781Z             }
2022-11-23T01:30:19.2278990Z             
2022-11-23T01:30:19.2279199Z  - 
2022-11-23T01:30:19.2279501Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.2279745Z             {
2022-11-23T01:30:19.2280018Z                 'guard_types': None,
2022-11-23T01:30:19.2280327Z                 'code': None,
2022-11-23T01:30:19.2280619Z                 'obj_weakref': None
2022-11-23T01:30:19.2280959Z                 'guarded_class': None
2022-11-23T01:30:19.2281214Z             }
2022-11-23T01:30:19.2281390Z             
2022-11-23T01:30:19.2281607Z  - 
2022-11-23T01:30:19.2281939Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:30:19.2282187Z             {
2022-11-23T01:30:19.2282500Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.2282860Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:30:19.2283209Z                 'obj_weakref': None
2022-11-23T01:30:19.2283743Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:19.2284062Z             }
2022-11-23T01:30:19.2284285Z             
2022-11-23T01:30:19.2284746Z [2022-11-23 01:21:40,587] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1
2022-11-23T01:30:19.2285504Z [2022-11-23 01:21:42,083] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e7/ce7orhotzymm3zi74gy3nj22wpvnmmuhfjzifvr4k2kkfzrmafto.py
2022-11-23T01:30:19.2286196Z [2022-11-23 01:21:42,083] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1
2022-11-23T01:30:19.2286476Z 
2022-11-23T01:30:19.2286603Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2286819Z import torch
2022-11-23T01:30:19.2287067Z import random
2022-11-23T01:30:19.2287328Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2287714Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2287912Z 
2022-11-23T01:30:19.2288019Z aten = torch.ops.aten
2022-11-23T01:30:19.2288359Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2288714Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2288904Z 
2022-11-23T01:30:19.2288910Z 
2022-11-23T01:30:19.2289117Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2289593Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2290079Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.2290427Z                        const unsigned char* __restrict__ in_ptr0,
2022-11-23T01:30:19.2290777Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.2291114Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.2291415Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.2291678Z {
2022-11-23T01:30:19.2291921Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:19.2292186Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2292447Z     {
2022-11-23T01:30:19.2292694Z         #pragma omp for 
2022-11-23T01:30:19.2292945Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.2293192Z         {
2022-11-23T01:30:19.2293413Z             {
2022-11-23T01:30:19.2294060Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:30:19.2294779Z                 float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:19.2295180Z                 auto tmp5_vec = at::vec::Vectorized<float>(tmp5);
2022-11-23T01:30:19.2295523Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.2295774Z                 {
2022-11-23T01:30:19.2296078Z                     float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:30:19.2296573Z                     flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:30:19.2297011Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:30:19.2297439Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (17*i0));
2022-11-23T01:30:19.2297791Z                     auto tmp1 = (tmp0);
2022-11-23T01:30:19.2298265Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2022-11-23T01:30:19.2298618Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2022-11-23T01:30:19.2298969Z                     tmp5_vec = at::vec::maximum(tmp5_vec, tmp4);
2022-11-23T01:30:19.2299264Z                 }
2022-11-23T01:30:19.2299711Z                 tmp5 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp5_vec);
2022-11-23T01:30:19.2300189Z                 #pragma omp simd simdlen(4)  reduction(max:tmp5)
2022-11-23T01:30:19.2300537Z                 for(long i1=16; i1<17; i1+=1)
2022-11-23T01:30:19.2300798Z                 {
2022-11-23T01:30:19.2301128Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2022-11-23T01:30:19.2301428Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2022-11-23T01:30:19.2301754Z                     auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:30:19.2302138Z                     auto tmp2 = static_cast<float>(-33.0);
2022-11-23T01:30:19.2302450Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2022-11-23T01:30:19.2302755Z                     tmp5 = std::max(tmp5, tmp4);
2022-11-23T01:30:19.2302981Z                 }
2022-11-23T01:30:19.2303187Z                 out_ptr0[i0] = tmp5;
2022-11-23T01:30:19.2303426Z             }
2022-11-23T01:30:19.2303637Z         }
2022-11-23T01:30:19.2303850Z         #pragma omp for 
2022-11-23T01:30:19.2304093Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.2304340Z         {
2022-11-23T01:30:19.2304482Z             {
2022-11-23T01:30:19.2304902Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:19.2305302Z                 float tmp8 = 0;
2022-11-23T01:30:19.2305616Z                 auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2022-11-23T01:30:19.2305930Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.2306162Z                 {
2022-11-23T01:30:19.2306380Z                     float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:30:19.2306738Z                     flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:30:19.2307146Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:30:19.2307538Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (17*i0));
2022-11-23T01:30:19.2307929Z                     auto tmp5 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:19.2308251Z                     auto tmp1 = (tmp0);
2022-11-23T01:30:19.2308731Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2022-11-23T01:30:19.2309152Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2022-11-23T01:30:19.2309560Z                     auto tmp6 = tmp4 - tmp5;
2022-11-23T01:30:19.2309879Z                     auto tmp7 = tmp6.exp();
2022-11-23T01:30:19.2310200Z                     tmp7.store(out_ptr1 + (8*i1) + (17*i0));
2022-11-23T01:30:19.2310446Z                     tmp8_vec += tmp7;
2022-11-23T01:30:19.2310685Z                 }
2022-11-23T01:30:19.2311064Z                 tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2022-11-23T01:30:19.2311525Z                 #pragma omp simd simdlen(4)  reduction(+:tmp8)
2022-11-23T01:30:19.2311833Z                 for(long i1=16; i1<17; i1+=1)
2022-11-23T01:30:19.2312083Z                 {
2022-11-23T01:30:19.2312319Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2022-11-23T01:30:19.2312589Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2022-11-23T01:30:19.2312888Z                     auto tmp5 = out_ptr0[i0];
2022-11-23T01:30:19.2313187Z                     auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:30:19.2313536Z                     auto tmp2 = static_cast<float>(-33.0);
2022-11-23T01:30:19.2313882Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2022-11-23T01:30:19.2314256Z                     auto tmp6 = tmp4 - tmp5;
2022-11-23T01:30:19.2314548Z                     auto tmp7 = std::exp(tmp6);
2022-11-23T01:30:19.2314855Z                     out_ptr1[i1 + (17*i0)] = tmp7;
2022-11-23T01:30:19.2315141Z                     tmp8 += tmp7;
2022-11-23T01:30:19.2315380Z                 }
2022-11-23T01:30:19.2315645Z                 out_ptr2[i0] = tmp8;
2022-11-23T01:30:19.2315891Z             }
2022-11-23T01:30:19.2316119Z         }
2022-11-23T01:30:19.2316339Z         #pragma omp for 
2022-11-23T01:30:19.2316613Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.2316878Z         {
2022-11-23T01:30:19.2317109Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.2317384Z             {
2022-11-23T01:30:19.2317778Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (17*i0));
2022-11-23T01:30:19.2318194Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:30:19.2318525Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.2318841Z                 tmp2.store(in_out_ptr0 + (8*i1) + (17*i0));
2022-11-23T01:30:19.2319076Z             }
2022-11-23T01:30:19.2319350Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.2319624Z             for(long i1=16; i1<17; i1+=1)
2022-11-23T01:30:19.2319832Z             {
2022-11-23T01:30:19.2320072Z                 auto tmp0 = out_ptr1[i1 + (17*i0)];
2022-11-23T01:30:19.2320354Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:30:19.2320591Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.2320946Z                 in_out_ptr0[i1 + (17*i0)] = tmp2;
2022-11-23T01:30:19.2321195Z             }
2022-11-23T01:30:19.2321432Z         }
2022-11-23T01:30:19.2321637Z     }
2022-11-23T01:30:19.2321865Z }
2022-11-23T01:30:19.2322116Z ''')
2022-11-23T01:30:19.2322242Z 
2022-11-23T01:30:19.2322248Z 
2022-11-23T01:30:19.2322387Z async_compile.wait(globals())
2022-11-23T01:30:19.2322687Z del async_compile
2022-11-23T01:30:19.2322841Z 
2022-11-23T01:30:19.2322950Z def call(args):
2022-11-23T01:30:19.2323169Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.2323426Z     args.clear()
2022-11-23T01:30:19.2323841Z     buf0 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2324313Z     buf1 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2324808Z     buf2 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2325096Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:30:19.2325522Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.2325841Z     del arg0_1
2022-11-23T01:30:19.2326044Z     del arg1_1
2022-11-23T01:30:19.2326287Z     return (buf3, )
2022-11-23T01:30:19.2326441Z 
2022-11-23T01:30:19.2326447Z 
2022-11-23T01:30:19.2326540Z if __name__ == "__main__":
2022-11-23T01:30:19.2326834Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2327191Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2327669Z     arg0_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2328131Z     arg1_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.uint8)
2022-11-23T01:30:19.2328479Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.2328645Z 
2022-11-23T01:30:19.2328738Z ok (1.528s)
2022-11-23T01:30:19.2329311Z   test_no_op_squeeze (__main__.CPUReproTests) ... [2022-11-23 01:21:42,088] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward
2022-11-23T01:30:19.2330031Z [2022-11-23 01:21:42,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4726
2022-11-23T01:30:19.2330612Z [2022-11-23 01:21:42,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.2331296Z [2022-11-23 01:21:42,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.2332010Z [2022-11-23 01:21:42,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.2332718Z [2022-11-23 01:21:42,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.2333399Z [2022-11-23 01:21:42,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TorchVariable(aten.squeeze)]
2022-11-23T01:30:19.2334129Z [2022-11-23 01:21:42,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.squeeze.dim)]
2022-11-23T01:30:19.2334841Z [2022-11-23 01:21:42,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.squeeze.dim), TensorVariable()]
2022-11-23T01:30:19.2335672Z [2022-11-23 01:21:42,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.squeeze.dim), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.2336394Z [2022-11-23 01:21:42,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.2337146Z [2022-11-23 01:21:42,099] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward
2022-11-23T01:30:19.2337741Z [2022-11-23 01:21:42,100] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.2338368Z [2022-11-23 01:21:42,102] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.2338840Z [2022-11-23 01:21:42,102] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.2339235Z  __compiled_fn_2 <eval_with_key>.24 opcode, name, target, args, kwargs
2022-11-23T01:30:19.2339526Z placeholder, arg0_1, arg0_1, (), {}
2022-11-23T01:30:19.2339878Z call_function, squeeze_dim, aten.squeeze.dim, (arg0_1, 1), {}
2022-11-23T01:30:19.2340249Z output, output, output, ((squeeze_dim,),), {}
2022-11-23T01:30:19.2340461Z 
2022-11-23T01:30:19.2340918Z [2022-11-23 01:21:42,102] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4724 
2022-11-23T01:30:19.2341391Z 4726           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.2341704Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.2342000Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.2342292Z                6 LOAD_ATTR                3 (squeeze)
2022-11-23T01:30:19.2342600Z                8 LOAD_METHOD              4 (dim)
2022-11-23T01:30:19.2342910Z               10 LOAD_FAST                0 (arg0_1)
2022-11-23T01:30:19.2343196Z               12 LOAD_CONST               1 (1)
2022-11-23T01:30:19.2343491Z               14 CALL_METHOD              2
2022-11-23T01:30:19.2343769Z               16 RETURN_VALUE
2022-11-23T01:30:19.2343935Z 
2022-11-23T01:30:19.2344008Z  
2022-11-23T01:30:19.2344613Z [2022-11-23 01:21:42,102] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4724 
2022-11-23T01:30:19.2345085Z 4724           0 LOAD_GLOBAL              5 (__compiled_fn_2)
2022-11-23T01:30:19.2345388Z                2 LOAD_FAST                0 (arg0_1)
2022-11-23T01:30:19.2345662Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.2345956Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.2346176Z                8 RETURN_VALUE
2022-11-23T01:30:19.2346350Z 
2022-11-23T01:30:19.2346421Z  
2022-11-23T01:30:19.2346782Z [2022-11-23 01:21:42,103] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.2347096Z  - 
2022-11-23T01:30:19.2347394Z             local 'arg0_1' TENSOR_MATCH
2022-11-23T01:30:19.2347654Z             {
2022-11-23T01:30:19.2348004Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2348284Z                 'code': None,
2022-11-23T01:30:19.2348744Z                 'obj_weakref': <weakref at 0x7ff5a86c5e90; to 'Tensor' at 0x7ff5a8c11df0>
2022-11-23T01:30:19.2349355Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2349659Z             }
2022-11-23T01:30:19.2349855Z             
2022-11-23T01:30:19.2350021Z  - 
2022-11-23T01:30:19.2350243Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.2350418Z             {
2022-11-23T01:30:19.2350631Z                 'guard_types': None,
2022-11-23T01:30:19.2350855Z                 'code': None,
2022-11-23T01:30:19.2351066Z                 'obj_weakref': None
2022-11-23T01:30:19.2351300Z                 'guarded_class': None
2022-11-23T01:30:19.2351552Z             }
2022-11-23T01:30:19.2351700Z             
2022-11-23T01:30:19.2352052Z [2022-11-23 01:21:42,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 2
2022-11-23T01:30:19.2352755Z [2022-11-23 01:21:42,108] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnelpdaegliu6grtlzcahofdy5sb7fqkjnnenj7zpj6rfe5f4em5.py
2022-11-23T01:30:19.2353570Z [2022-11-23 01:21:42,108] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 2
2022-11-23T01:30:19.2353907Z 
2022-11-23T01:30:19.2354047Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2354330Z import torch
2022-11-23T01:30:19.2354574Z import random
2022-11-23T01:30:19.2354866Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2355302Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2355549Z 
2022-11-23T01:30:19.2355669Z aten = torch.ops.aten
2022-11-23T01:30:19.2355910Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2356166Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2356297Z 
2022-11-23T01:30:19.2356301Z 
2022-11-23T01:30:19.2356396Z async_compile.wait(globals())
2022-11-23T01:30:19.2356589Z del async_compile
2022-11-23T01:30:19.2356687Z 
2022-11-23T01:30:19.2356759Z def call(args):
2022-11-23T01:30:19.2356933Z     arg0_1, = args
2022-11-23T01:30:19.2357110Z     args.clear()
2022-11-23T01:30:19.2357286Z     return (arg0_1, )
2022-11-23T01:30:19.2357449Z 
2022-11-23T01:30:19.2357456Z 
2022-11-23T01:30:19.2357535Z if __name__ == "__main__":
2022-11-23T01:30:19.2357822Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2358187Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2358692Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2359087Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.2359282Z 
2022-11-23T01:30:19.2359377Z ok (0.024s)
2022-11-23T01:30:19.2360004Z   test_parallel_num_threads (__main__.CPUReproTests) ... [2022-11-23 01:21:42,126] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.2360858Z [2022-11-23 01:21:42,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4734
2022-11-23T01:30:19.2361498Z [2022-11-23 01:21:42,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 []
2022-11-23T01:30:19.2362089Z [2022-11-23 01:21:42,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TensorVariable()]
2022-11-23T01:30:19.2362766Z [2022-11-23 01:21:42,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.2363435Z [2022-11-23 01:21:42,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.2364085Z [2022-11-23 01:21:42,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.2364714Z [2022-11-23 01:21:42,127] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.2365369Z [2022-11-23 01:21:42,130] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.2365931Z [2022-11-23 01:21:42,130] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.2366366Z  __compiled_fn_3 <eval_with_key>.30 opcode, name, target, args, kwargs
2022-11-23T01:30:19.2366704Z placeholder, x1, x1, (), {}
2022-11-23T01:30:19.2366996Z placeholder, x2, x2, (), {}
2022-11-23T01:30:19.2367419Z call_function, add, <built-in function add>, (x1, x2), {}
2022-11-23T01:30:19.2367756Z output, output, output, ((add,),), {}
2022-11-23T01:30:19.2367930Z 
2022-11-23T01:30:19.2368425Z [2022-11-23 01:21:42,130] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4732 
2022-11-23T01:30:19.2368956Z 4734           0 LOAD_FAST                0 (x1)
2022-11-23T01:30:19.2369263Z                2 LOAD_FAST                1 (x2)
2022-11-23T01:30:19.2369508Z                4 BINARY_ADD
2022-11-23T01:30:19.2369752Z                6 RETURN_VALUE
2022-11-23T01:30:19.2369920Z 
2022-11-23T01:30:19.2370011Z  
2022-11-23T01:30:19.2370592Z [2022-11-23 01:21:42,131] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4732 
2022-11-23T01:30:19.2371098Z 4732           0 LOAD_GLOBAL              0 (__compiled_fn_3)
2022-11-23T01:30:19.2371378Z                2 LOAD_FAST                0 (x1)
2022-11-23T01:30:19.2371684Z                4 LOAD_FAST                1 (x2)
2022-11-23T01:30:19.2371966Z                6 CALL_FUNCTION            2
2022-11-23T01:30:19.2372330Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.2372623Z               10 RETURN_VALUE
2022-11-23T01:30:19.2372779Z 
2022-11-23T01:30:19.2372867Z  
2022-11-23T01:30:19.2373293Z [2022-11-23 01:21:42,131] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.2373619Z  - 
2022-11-23T01:30:19.2373914Z             local 'x1' TENSOR_MATCH
2022-11-23T01:30:19.2374176Z             {
2022-11-23T01:30:19.2374528Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2374856Z                 'code': None,
2022-11-23T01:30:19.2375321Z                 'obj_weakref': <weakref at 0x7ff5a86c5bc0; to 'Tensor' at 0x7ff5a9791080>
2022-11-23T01:30:19.2375930Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2376276Z             }
2022-11-23T01:30:19.2376597Z             
2022-11-23T01:30:19.2376849Z  - 
2022-11-23T01:30:19.2377162Z             local 'x2' TENSOR_MATCH
2022-11-23T01:30:19.2377409Z             {
2022-11-23T01:30:19.2377783Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2378054Z                 'code': None,
2022-11-23T01:30:19.2378728Z                 'obj_weakref': <weakref at 0x7ff5a86c56c0; to 'Tensor' at 0x7ff5a981d3f0>
2022-11-23T01:30:19.2379326Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2379693Z             }
2022-11-23T01:30:19.2379892Z             
2022-11-23T01:30:19.2380420Z [2022-11-23 01:21:42,135] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 3
2022-11-23T01:30:19.2381195Z [2022-11-23 01:21:43,577] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xy/cxybpivj5277dgxkvpdebtu6ue4yc6ss3qeo6zxlmcjuqwy4vyp2.py
2022-11-23T01:30:19.2381958Z [2022-11-23 01:21:43,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 3
2022-11-23T01:30:19.2382257Z 
2022-11-23T01:30:19.2382384Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2382691Z import torch
2022-11-23T01:30:19.2382941Z import random
2022-11-23T01:30:19.2383257Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2383653Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2383881Z 
2022-11-23T01:30:19.2383999Z aten = torch.ops.aten
2022-11-23T01:30:19.2384333Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2384710Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2384909Z 
2022-11-23T01:30:19.2384916Z 
2022-11-23T01:30:19.2385129Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2510407Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2511171Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2511494Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.2511843Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.2512129Z {
2022-11-23T01:30:19.2512369Z     for(long i0=0; i0<25; i0+=1)
2022-11-23T01:30:19.2512622Z     {
2022-11-23T01:30:19.2513160Z         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.2513456Z         auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.2513856Z         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.2514121Z         tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.2514355Z     }
2022-11-23T01:30:19.2514618Z     #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.2514929Z     for(long i0=200; i0<200; i0+=1)
2022-11-23T01:30:19.2515180Z     {
2022-11-23T01:30:19.2515437Z         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.2515735Z         auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.2516008Z         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.2516289Z         out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.2516545Z     }
2022-11-23T01:30:19.2516755Z }
2022-11-23T01:30:19.2517036Z ''')
2022-11-23T01:30:19.2517166Z 
2022-11-23T01:30:19.2517251Z 
2022-11-23T01:30:19.2517394Z async_compile.wait(globals())
2022-11-23T01:30:19.2517681Z del async_compile
2022-11-23T01:30:19.2517841Z 
2022-11-23T01:30:19.2517950Z def call(args):
2022-11-23T01:30:19.2518187Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.2518408Z     args.clear()
2022-11-23T01:30:19.2518851Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2519303Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.2519638Z     del arg0_1
2022-11-23T01:30:19.2519836Z     del arg1_1
2022-11-23T01:30:19.2520093Z     return (buf0, )
2022-11-23T01:30:19.2520258Z 
2022-11-23T01:30:19.2520264Z 
2022-11-23T01:30:19.2520384Z if __name__ == "__main__":
2022-11-23T01:30:19.2520707Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2521081Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2521605Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2522003Z     arg1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2522272Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.2522490Z 
2022-11-23T01:30:19.2522601Z ok (1.481s)
2022-11-23T01:30:19.2523379Z   test_sign_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:21:43,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:19.2524290Z [2022-11-23 01:21:45,015] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rc/crc2oymslyccsf46u2f55lcalhetkqapfdj46tvazbqoiyvh45uc.py
2022-11-23T01:30:19.2525062Z [2022-11-23 01:21:45,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:19.2525343Z 
2022-11-23T01:30:19.2525479Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2525762Z import torch
2022-11-23T01:30:19.2525995Z import random
2022-11-23T01:30:19.2526318Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2526717Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2526942Z 
2022-11-23T01:30:19.2527064Z aten = torch.ops.aten
2022-11-23T01:30:19.2527425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2527814Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2527981Z 
2022-11-23T01:30:19.2527986Z 
2022-11-23T01:30:19.2528178Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2528677Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2529197Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2529551Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.2529817Z {
2022-11-23T01:30:19.2530095Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2530354Z     {
2022-11-23T01:30:19.2530590Z         #pragma omp for 
2022-11-23T01:30:19.2530870Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.2531129Z         {
2022-11-23T01:30:19.2531451Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.2531999Z             auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2022-11-23T01:30:19.2532472Z             auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2022-11-23T01:30:19.2532905Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:30:19.2533176Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.2533408Z         }
2022-11-23T01:30:19.2533677Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.2533969Z         for(long i0=16; i0<18; i0+=1)
2022-11-23T01:30:19.2534201Z         {
2022-11-23T01:30:19.2534453Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.2534734Z             auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:30:19.2535029Z             auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:30:19.2535457Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:30:19.2535734Z             out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.2535959Z         }
2022-11-23T01:30:19.2536180Z     }
2022-11-23T01:30:19.2536359Z }
2022-11-23T01:30:19.2536750Z ''')
2022-11-23T01:30:19.2536871Z 
2022-11-23T01:30:19.2536878Z 
2022-11-23T01:30:19.2536984Z async_compile.wait(globals())
2022-11-23T01:30:19.2537263Z del async_compile
2022-11-23T01:30:19.2537423Z 
2022-11-23T01:30:19.2537529Z def call(args):
2022-11-23T01:30:19.2537768Z     x_1, = args
2022-11-23T01:30:19.2537988Z     args.clear()
2022-11-23T01:30:19.2538444Z     buf0 = empty_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2538843Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.2539163Z     del x_1
2022-11-23T01:30:19.2539354Z     return (buf0, )
2022-11-23T01:30:19.2539517Z 
2022-11-23T01:30:19.2539524Z 
2022-11-23T01:30:19.2539639Z if __name__ == "__main__":
2022-11-23T01:30:19.2539962Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2540325Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2540856Z     x_1 = rand_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2541243Z     print_performance(lambda: call([x_1]))
2022-11-23T01:30:19.2541449Z 
2022-11-23T01:30:19.2541523Z ok (1.426s)
2022-11-23T01:30:19.2541822Z   test_timed_cpu_only (__main__.CPUReproTests) ... ok (0.002s)
2022-11-23T01:30:19.2542531Z   test_vec_dynamic_shapes (__main__.CPUReproTests) ... [2022-11-23 01:21:45,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.2543295Z [2022-11-23 01:21:45,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4783
2022-11-23T01:30:19.2543881Z [2022-11-23 01:21:45,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.2544664Z [2022-11-23 01:21:45,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.2545469Z [2022-11-23 01:21:45,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.2546289Z [2022-11-23 01:21:45,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.2547186Z [2022-11-23 01:21:45,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.2547935Z [2022-11-23 01:21:45,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.2548572Z [2022-11-23 01:21:45,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.2549210Z [2022-11-23 01:21:45,056] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.2549907Z [2022-11-23 01:21:45,060] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.2550374Z [2022-11-23 01:21:45,060] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.2550795Z  __compiled_fn_4 <eval_with_key>.37 opcode, name, target, args, kwargs
2022-11-23T01:30:19.2551136Z placeholder, x, x, (), {}
2022-11-23T01:30:19.2551618Z call_function, softmax, <built-in method softmax of type object at 0x7ff5d7c59c60>, (x, -1), {}
2022-11-23T01:30:19.2551980Z output, output, output, ((softmax,),), {}
2022-11-23T01:30:19.2552184Z 
2022-11-23T01:30:19.2552668Z [2022-11-23 01:21:45,061] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4782 
2022-11-23T01:30:19.2553133Z 4783           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.2553498Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T01:30:19.2553858Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.2554202Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:30:19.2554475Z                8 CALL_METHOD              2
2022-11-23T01:30:19.2554729Z               10 RETURN_VALUE
2022-11-23T01:30:19.2554887Z 
2022-11-23T01:30:19.2554972Z  
2022-11-23T01:30:19.2555599Z [2022-11-23 01:21:45,061] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4782 
2022-11-23T01:30:19.2556103Z 4782           0 LOAD_GLOBAL              2 (__compiled_fn_4)
2022-11-23T01:30:19.2556421Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:19.2556672Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.2556978Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.2557228Z                8 RETURN_VALUE
2022-11-23T01:30:19.2557395Z 
2022-11-23T01:30:19.2557482Z  
2022-11-23T01:30:19.2557837Z [2022-11-23 01:21:45,061] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.2558094Z  - 
2022-11-23T01:30:19.2558463Z              'symbolic_shape_expression' SYMBOL_MATCH
2022-11-23T01:30:19.2558701Z             {
2022-11-23T01:30:19.2559005Z                 'guard_types': None,
2022-11-23T01:30:19.2559452Z                 'code': (Eq(x.size()[1], 10) and x.size()[1] == x.stride()[0]),
2022-11-23T01:30:19.2559798Z                 'obj_weakref': None
2022-11-23T01:30:19.2611695Z                 'guarded_class': None
2022-11-23T01:30:19.2612138Z             }
2022-11-23T01:30:19.2612408Z             
2022-11-23T01:30:19.2612746Z  - 
2022-11-23T01:30:19.2613134Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:19.2613471Z             {
2022-11-23T01:30:19.2613890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2614312Z                 'code': None,
2022-11-23T01:30:19.2614893Z                 'obj_weakref': <weakref at 0x7ff5a86c6840; to 'Tensor' at 0x7ff5a979e390>
2022-11-23T01:30:19.2615642Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2616081Z             }
2022-11-23T01:30:19.2616359Z             
2022-11-23T01:30:19.2616800Z  - 
2022-11-23T01:30:19.2617184Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.2617507Z             {
2022-11-23T01:30:19.2617857Z                 'guard_types': None,
2022-11-23T01:30:19.2618213Z                 'code': None,
2022-11-23T01:30:19.2618521Z                 'obj_weakref': None
2022-11-23T01:30:19.2618804Z                 'guarded_class': None
2022-11-23T01:30:19.2619074Z             }
2022-11-23T01:30:19.2619310Z             
2022-11-23T01:30:19.2619851Z [2022-11-23 01:21:45,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 4
2022-11-23T01:30:19.2620424Z [2022-11-23 01:21:46,512] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6a/c6avvcuofqelbnzcu5oiw3cvohqlen7o754o73zvp4yjhs5apow4.py
2022-11-23T01:30:19.2621080Z [2022-11-23 01:21:46,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 4
2022-11-23T01:30:19.2621285Z 
2022-11-23T01:30:19.2621378Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2621557Z import torch
2022-11-23T01:30:19.2621722Z import random
2022-11-23T01:30:19.2621932Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2622196Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2622337Z 
2022-11-23T01:30:19.2622414Z aten = torch.ops.aten
2022-11-23T01:30:19.2622658Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2622905Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2623028Z 
2022-11-23T01:30:19.2623033Z 
2022-11-23T01:30:19.2623156Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2623496Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2623888Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.2624133Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2624348Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.2624568Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.2624769Z                        const long ks0,
2022-11-23T01:30:19.2624949Z                        const long ks1)
2022-11-23T01:30:19.2625117Z {
2022-11-23T01:30:19.2625280Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:19.2625479Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2625676Z     {
2022-11-23T01:30:19.2625836Z         #pragma omp for 
2022-11-23T01:30:19.2626007Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:30:19.2626184Z         {
2022-11-23T01:30:19.2626338Z             {
2022-11-23T01:30:19.2626486Z                 {
2022-11-23T01:30:19.2626830Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:19.2627088Z                     for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:30:19.2627258Z                     {
2022-11-23T01:30:19.2627424Z                         {
2022-11-23T01:30:19.2627623Z                             auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2022-11-23T01:30:19.2627854Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:30:19.2628028Z                         }
2022-11-23T01:30:19.2628184Z                     }
2022-11-23T01:30:19.2628359Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.2628528Z                 }
2022-11-23T01:30:19.2628694Z             }
2022-11-23T01:30:19.2628849Z         }
2022-11-23T01:30:19.2629005Z         #pragma omp for 
2022-11-23T01:30:19.2629199Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:30:19.2629375Z         {
2022-11-23T01:30:19.2629513Z             {
2022-11-23T01:30:19.2629668Z                 {
2022-11-23T01:30:19.2629838Z                     float tmp4 = 0;
2022-11-23T01:30:19.2630029Z                     for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:30:19.2630206Z                     {
2022-11-23T01:30:19.2630361Z                         {
2022-11-23T01:30:19.2630546Z                             auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2022-11-23T01:30:19.2630763Z                             auto tmp1 = out_ptr0[i0];
2022-11-23T01:30:19.2631027Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.2631232Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:30:19.2631447Z                             out_ptr1[i1 + (i0*ks1)] = tmp3;
2022-11-23T01:30:19.2631642Z                             tmp4 += tmp3;
2022-11-23T01:30:19.2631811Z                         }
2022-11-23T01:30:19.2631960Z                     }
2022-11-23T01:30:19.2632138Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:30:19.2632309Z                 }
2022-11-23T01:30:19.2632450Z             }
2022-11-23T01:30:19.2632602Z         }
2022-11-23T01:30:19.2632773Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.2632961Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:30:19.2633129Z         {
2022-11-23T01:30:19.2633374Z             for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:30:19.2633535Z             {
2022-11-23T01:30:19.2633689Z                 {
2022-11-23T01:30:19.2633946Z                     {
2022-11-23T01:30:19.2634134Z                         auto tmp0 = out_ptr1[i1 + (i0*ks1)];
2022-11-23T01:30:19.2634351Z                         auto tmp1 = out_ptr2[i0];
2022-11-23T01:30:19.2634556Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.2634758Z                         in_out_ptr0[i1 + (i0*ks1)] = tmp2;
2022-11-23T01:30:19.2634951Z                     }
2022-11-23T01:30:19.2635110Z                 }
2022-11-23T01:30:19.2635255Z             }
2022-11-23T01:30:19.2635407Z         }
2022-11-23T01:30:19.2635554Z     }
2022-11-23T01:30:19.2635687Z }
2022-11-23T01:30:19.2635849Z ''')
2022-11-23T01:30:19.2635940Z 
2022-11-23T01:30:19.2635997Z 
2022-11-23T01:30:19.2636091Z async_compile.wait(globals())
2022-11-23T01:30:19.2636270Z del async_compile
2022-11-23T01:30:19.2636374Z 
2022-11-23T01:30:19.2636441Z def call(args):
2022-11-23T01:30:19.2636605Z     arg0_1, = args
2022-11-23T01:30:19.2636757Z     args.clear()
2022-11-23T01:30:19.2636936Z     arg0_1_size = arg0_1.size()
2022-11-23T01:30:19.2637108Z     s0 = arg0_1_size[0]
2022-11-23T01:30:19.2637178Z     s1 = arg0_1_size[1]
2022-11-23T01:30:19.2637377Z     buf0 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2637565Z     buf1 = empty_strided((s0, s1), (s1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2637760Z     buf2 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2637847Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:30:19.2638052Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_long(s0), c_long(s1))
2022-11-23T01:30:19.2638122Z     del arg0_1
2022-11-23T01:30:19.2638191Z     return (buf3, )
2022-11-23T01:30:19.2638196Z 
2022-11-23T01:30:19.2638201Z 
2022-11-23T01:30:19.2638276Z if __name__ == "__main__":
2022-11-23T01:30:19.2638389Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2638499Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2638694Z     arg0_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2638804Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.2638808Z 
2022-11-23T01:30:19.2638876Z ok (1.495s)
2022-11-23T01:30:19.2639228Z   test_vec_kernel_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:21:46,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:19.2639602Z [2022-11-23 01:21:47,150] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uw/cuw7vgolkxprpcduvw5l2lygqogznmsj3hzobjgufnv7wfqimlur.py
2022-11-23T01:30:19.2639865Z [2022-11-23 01:21:47,150] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:19.2640115Z [2022-11-23 01:21:47,173] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:19.2640478Z [2022-11-23 01:21:48,627] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aa/caacsbtlmpnf2qmjuqiwp2lnfximhp5lck6itpdkh42i2p3ifnaq.py
2022-11-23T01:30:19.2640725Z [2022-11-23 01:21:48,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:19.2640969Z [2022-11-23 01:21:48,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:19.2640974Z 
2022-11-23T01:30:19.2641063Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2641130Z import torch
2022-11-23T01:30:19.2641196Z import random
2022-11-23T01:30:19.2641305Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2641423Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2641428Z 
2022-11-23T01:30:19.2641498Z aten = torch.ops.aten
2022-11-23T01:30:19.2641648Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2641740Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2641745Z 
2022-11-23T01:30:19.2641750Z 
2022-11-23T01:30:19.2641877Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2642077Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2642185Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.2642285Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2642383Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:30:19.2642441Z {
2022-11-23T01:30:19.2642526Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2642580Z     {
2022-11-23T01:30:19.2642654Z         #pragma omp for 
2022-11-23T01:30:19.2642760Z         for(long i0=0; i0<200; i0+=1)
2022-11-23T01:30:19.2642818Z         {
2022-11-23T01:30:19.2642875Z             {
2022-11-23T01:30:19.2642927Z                 {
2022-11-23T01:30:19.2643014Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.2643100Z                     auto tmp12 = in_ptr1[i0];
2022-11-23T01:30:19.2643196Z                     auto tmp1 = std::abs(tmp0);
2022-11-23T01:30:19.2643291Z                     auto tmp2 = std::sin(tmp1);
2022-11-23T01:30:19.2643411Z                     auto tmp3 = -tmp2;
2022-11-23T01:30:19.2643500Z                     auto tmp4 = tmp3 * tmp3;
2022-11-23T01:30:19.2643644Z                     auto tmp5 = std::exp(-tmp4);
2022-11-23T01:30:19.2643720Z                     auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:30:19.2643811Z                     auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:30:19.2643899Z                     auto tmp8 = std::cos(tmp7);
2022-11-23T01:30:19.2643987Z                     auto tmp9 = std::exp(tmp8);
2022-11-23T01:30:19.2644083Z                     auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:30:19.2644169Z                     auto tmp11 = tmp10 + tmp0;
2022-11-23T01:30:19.2644303Z                     auto tmp13 = tmp11 - tmp12;
2022-11-23T01:30:19.2644382Z                     auto tmp14 = tmp13 * tmp0;
2022-11-23T01:30:19.2644466Z                     auto tmp15 = tmp14 / tmp0;
2022-11-23T01:30:19.2644551Z                     auto tmp16 = tmp15 * tmp15;
2022-11-23T01:30:19.2644640Z                     auto tmp17 = tmp16 * tmp16;
2022-11-23T01:30:19.2644725Z                     auto tmp18 = tmp17 * tmp15;
2022-11-23T01:30:19.2644812Z                     auto tmp19 = tmp18 * tmp18;
2022-11-23T01:30:19.2644906Z                     auto tmp20 = std::log(tmp19);
2022-11-23T01:30:19.2644993Z                     auto tmp21 = std::floor(tmp20);
2022-11-23T01:30:19.2645089Z                     auto tmp22 = std::ceil(tmp21);
2022-11-23T01:30:19.2645185Z                     auto tmp23 = std::trunc(tmp22);
2022-11-23T01:30:19.2645283Z                     auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:30:19.2645389Z                     auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:30:19.2645479Z                     auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:30:19.2645567Z                     auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:30:19.2645703Z                     auto tmp28 = tmp26 - tmp27;
2022-11-23T01:30:19.2645780Z                     auto tmp29 = tmp28 + tmp12;
2022-11-23T01:30:19.2645863Z                     in_out_ptr0[i0] = tmp29;
2022-11-23T01:30:19.2645920Z                 }
2022-11-23T01:30:19.2645981Z             }
2022-11-23T01:30:19.2646041Z         }
2022-11-23T01:30:19.2646096Z     }
2022-11-23T01:30:19.2646148Z }
2022-11-23T01:30:19.2646212Z ''')
2022-11-23T01:30:19.2646217Z 
2022-11-23T01:30:19.2646222Z 
2022-11-23T01:30:19.2646307Z async_compile.wait(globals())
2022-11-23T01:30:19.2646372Z del async_compile
2022-11-23T01:30:19.2646377Z 
2022-11-23T01:30:19.2646440Z def call(args):
2022-11-23T01:30:19.2646506Z     x1_1, x2_1 = args
2022-11-23T01:30:19.2646573Z     args.clear()
2022-11-23T01:30:19.2646765Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2646866Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:19.2647018Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:30:19.2647080Z     del x1_1
2022-11-23T01:30:19.2647141Z     del x2_1
2022-11-23T01:30:19.2647208Z     return (buf1, )
2022-11-23T01:30:19.2647213Z 
2022-11-23T01:30:19.2647217Z 
2022-11-23T01:30:19.2647290Z if __name__ == "__main__":
2022-11-23T01:30:19.2647397Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2647515Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2647698Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2647883Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2647986Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:30:19.2648018Z 
2022-11-23T01:30:19.2648022Z 
2022-11-23T01:30:19.2648113Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2648179Z import torch
2022-11-23T01:30:19.2648245Z import random
2022-11-23T01:30:19.2648352Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2648466Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2648470Z 
2022-11-23T01:30:19.2648534Z aten = torch.ops.aten
2022-11-23T01:30:19.2648664Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2648748Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2648753Z 
2022-11-23T01:30:19.2648757Z 
2022-11-23T01:30:19.2648886Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2649087Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2649197Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.2649298Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2649398Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:30:19.2649447Z {
2022-11-23T01:30:19.2649543Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2649603Z     {
2022-11-23T01:30:19.2649677Z         #pragma omp for 
2022-11-23T01:30:19.2649756Z         for(long i0=0; i0<25; i0+=1)
2022-11-23T01:30:19.2649816Z         {
2022-11-23T01:30:19.2649947Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.2650067Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.2650150Z             auto tmp1 = tmp0.abs();
2022-11-23T01:30:19.2650230Z             auto tmp2 = tmp1.sin();
2022-11-23T01:30:19.2650306Z             auto tmp3 = tmp2.neg();
2022-11-23T01:30:19.2650386Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:30:19.2650517Z             auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2022-11-23T01:30:19.2650639Z             auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2022-11-23T01:30:19.2650709Z             auto tmp7 = tmp6.cos();
2022-11-23T01:30:19.2650789Z             auto tmp8 = tmp7.exp();
2022-11-23T01:30:19.2650866Z             auto tmp9 = tmp8.sqrt();
2022-11-23T01:30:19.2650949Z             auto tmp10 = tmp9 + tmp0;
2022-11-23T01:30:19.2651072Z             auto tmp12 = tmp10 - tmp11;
2022-11-23T01:30:19.2651152Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:30:19.2651228Z             auto tmp14 = tmp13 / tmp0;
2022-11-23T01:30:19.2651300Z             auto tmp15 = tmp14 * tmp14;
2022-11-23T01:30:19.2651378Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:30:19.2651457Z             auto tmp17 = tmp16 * tmp14;
2022-11-23T01:30:19.2651534Z             auto tmp18 = tmp17 * tmp17;
2022-11-23T01:30:19.2651613Z             auto tmp19 = tmp18.log();
2022-11-23T01:30:19.2651695Z             auto tmp20 = tmp19.floor();
2022-11-23T01:30:19.2651776Z             auto tmp21 = tmp20.ceil();
2022-11-23T01:30:19.2651849Z             auto tmp22 = tmp21.trunc();
2022-11-23T01:30:19.2651931Z             auto tmp23 = tmp22.lgamma();
2022-11-23T01:30:19.2652044Z             auto tmp24 = tmp23.fmod(tmp11);
2022-11-23T01:30:19.2652215Z             auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2022-11-23T01:30:19.2652378Z             auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2022-11-23T01:30:19.2652503Z             auto tmp27 = tmp25 - tmp26;
2022-11-23T01:30:19.2652584Z             auto tmp28 = tmp27 + tmp11;
2022-11-23T01:30:19.2652680Z             tmp28.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.2652729Z         }
2022-11-23T01:30:19.2652822Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.2652901Z         for(long i0=200; i0<200; i0+=1)
2022-11-23T01:30:19.2652964Z         {
2022-11-23T01:30:19.2653050Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.2653161Z             auto tmp12 = in_ptr1[i0];
2022-11-23T01:30:19.2653250Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:30:19.2653323Z             auto tmp2 = std::sin(tmp1);
2022-11-23T01:30:19.2653437Z             auto tmp3 = -tmp2;
2022-11-23T01:30:19.2653518Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:30:19.2653649Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:30:19.2653727Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:30:19.2653810Z             auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:30:19.2653895Z             auto tmp8 = std::cos(tmp7);
2022-11-23T01:30:19.2653968Z             auto tmp9 = std::exp(tmp8);
2022-11-23T01:30:19.2654057Z             auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:30:19.2654139Z             auto tmp11 = tmp10 + tmp0;
2022-11-23T01:30:19.2654265Z             auto tmp13 = tmp11 - tmp12;
2022-11-23T01:30:19.2654346Z             auto tmp14 = tmp13 * tmp0;
2022-11-23T01:30:19.2654425Z             auto tmp15 = tmp14 / tmp0;
2022-11-23T01:30:19.2654507Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:30:19.2654576Z             auto tmp17 = tmp16 * tmp16;
2022-11-23T01:30:19.2654660Z             auto tmp18 = tmp17 * tmp15;
2022-11-23T01:30:19.2654740Z             auto tmp19 = tmp18 * tmp18;
2022-11-23T01:30:19.2654834Z             auto tmp20 = std::log(tmp19);
2022-11-23T01:30:19.2654926Z             auto tmp21 = std::floor(tmp20);
2022-11-23T01:30:19.2655020Z             auto tmp22 = std::ceil(tmp21);
2022-11-23T01:30:19.2655109Z             auto tmp23 = std::trunc(tmp22);
2022-11-23T01:30:19.2655204Z             auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:30:19.2655293Z             auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:30:19.2655381Z             auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:30:19.2655467Z             auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:30:19.2655591Z             auto tmp28 = tmp26 - tmp27;
2022-11-23T01:30:19.2655671Z             auto tmp29 = tmp28 + tmp12;
2022-11-23T01:30:19.2655753Z             in_out_ptr0[i0] = tmp29;
2022-11-23T01:30:19.2655816Z         }
2022-11-23T01:30:19.2655864Z     }
2022-11-23T01:30:19.2655921Z }
2022-11-23T01:30:19.2655999Z ''')
2022-11-23T01:30:19.2656004Z 
2022-11-23T01:30:19.2656011Z 
2022-11-23T01:30:19.2656100Z async_compile.wait(globals())
2022-11-23T01:30:19.2656171Z del async_compile
2022-11-23T01:30:19.2656176Z 
2022-11-23T01:30:19.2656247Z def call(args):
2022-11-23T01:30:19.2656314Z     x1_1, x2_1 = args
2022-11-23T01:30:19.2656372Z     args.clear()
2022-11-23T01:30:19.2656936Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2657081Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:19.2657328Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:30:19.2657435Z     del x1_1
2022-11-23T01:30:19.2657541Z     del x2_1
2022-11-23T01:30:19.2657652Z     return (buf1, )
2022-11-23T01:30:19.2657661Z 
2022-11-23T01:30:19.2657666Z 
2022-11-23T01:30:19.2657799Z if __name__ == "__main__":
2022-11-23T01:30:19.2657969Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2658155Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2658575Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2658889Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2659059Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:30:19.2659065Z 
2022-11-23T01:30:19.2659637Z [2022-11-23 01:21:50,091] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oz/cozmb7vkk56pxqvoptmemleovywere5sxn2ffqnnzpdwmfiyzend.py
2022-11-23T01:30:19.2660047Z [2022-11-23 01:21:50,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:19.2660450Z [2022-11-23 01:21:50,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:19.2660457Z 
2022-11-23T01:30:19.2660647Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2660736Z import torch
2022-11-23T01:30:19.2660835Z import random
2022-11-23T01:30:19.2661001Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2661167Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2661174Z 
2022-11-23T01:30:19.2661289Z aten = torch.ops.aten
2022-11-23T01:30:19.2661493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2661626Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2661634Z 
2022-11-23T01:30:19.2661641Z 
2022-11-23T01:30:19.2661839Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2662130Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2662294Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.2662449Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2662581Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:30:19.2662677Z {
2022-11-23T01:30:19.2662795Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:30:19.2662946Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2663028Z     {
2022-11-23T01:30:19.2663149Z         #pragma omp for 
2022-11-23T01:30:19.2663268Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:30:19.2663359Z         {
2022-11-23T01:30:19.2663478Z             #pragma GCC ivdep
2022-11-23T01:30:19.2663604Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:19.2663688Z             {
2022-11-23T01:30:19.2663789Z                 {
2022-11-23T01:30:19.2663889Z                     {
2022-11-23T01:30:19.2664048Z                         auto tmp0 = in_ptr0[i0 + (20*i1)];
2022-11-23T01:30:19.2664210Z                         auto tmp12 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:19.2664363Z                         auto tmp1 = std::abs(tmp0);
2022-11-23T01:30:19.2664504Z                         auto tmp2 = std::sin(tmp1);
2022-11-23T01:30:19.2664689Z                         auto tmp3 = -tmp2;
2022-11-23T01:30:19.2664812Z                         auto tmp4 = tmp3 * tmp3;
2022-11-23T01:30:19.2665031Z                         auto tmp5 = std::exp(-tmp4);
2022-11-23T01:30:19.2665176Z                         auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:30:19.2665318Z                         auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:30:19.2665460Z                         auto tmp8 = std::cos(tmp7);
2022-11-23T01:30:19.2665608Z                         auto tmp9 = std::exp(tmp8);
2022-11-23T01:30:19.2665740Z                         auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:30:19.2665856Z                         auto tmp11 = tmp10 + tmp0;
2022-11-23T01:30:19.2666068Z                         auto tmp13 = tmp11 - tmp12;
2022-11-23T01:30:19.2666203Z                         auto tmp14 = tmp13 * tmp0;
2022-11-23T01:30:19.2666325Z                         auto tmp15 = tmp14 / tmp0;
2022-11-23T01:30:19.2666462Z                         auto tmp16 = tmp15 * tmp15;
2022-11-23T01:30:19.2666580Z                         auto tmp17 = tmp16 * tmp16;
2022-11-23T01:30:19.2666710Z                         auto tmp18 = tmp17 * tmp15;
2022-11-23T01:30:19.2666895Z                         auto tmp19 = tmp18 * tmp18;
2022-11-23T01:30:19.2667024Z                         out_ptr0[i1 + (10*i0)] = tmp19;
2022-11-23T01:30:19.2667122Z                     }
2022-11-23T01:30:19.2667216Z                 }
2022-11-23T01:30:19.2667309Z             }
2022-11-23T01:30:19.2667381Z         }
2022-11-23T01:30:19.2667483Z         #pragma omp for 
2022-11-23T01:30:19.2667601Z         for(long i0=0; i0<25; i0+=1)
2022-11-23T01:30:19.2667684Z         {
2022-11-23T01:30:19.2667856Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T01:30:19.2668052Z             auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.2668184Z             auto tmp1 = tmp0.log();
2022-11-23T01:30:19.2668307Z             auto tmp2 = tmp1.floor();
2022-11-23T01:30:19.2668460Z             auto tmp3 = tmp2.ceil();
2022-11-23T01:30:19.2668595Z             auto tmp4 = tmp3.trunc();
2022-11-23T01:30:19.2668731Z             auto tmp5 = tmp4.lgamma();
2022-11-23T01:30:19.2668874Z             auto tmp7 = tmp5.fmod(tmp6);
2022-11-23T01:30:19.2669152Z             auto tmp8 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), decltype(tmp7)(0) < tmp7);
2022-11-23T01:30:19.2669430Z             auto tmp9 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), tmp7 < decltype(tmp7)(0));
2022-11-23T01:30:19.2669653Z             auto tmp10 = tmp8 - tmp9;
2022-11-23T01:30:19.2669785Z             auto tmp11 = tmp10 + tmp6;
2022-11-23T01:30:19.2669932Z             tmp11.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.2670046Z         }
2022-11-23T01:30:19.2670187Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.2670323Z         for(long i0=200; i0<200; i0+=1)
2022-11-23T01:30:19.2670439Z         {
2022-11-23T01:30:19.2670579Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:30:19.2670720Z             auto tmp6 = in_ptr1[i0];
2022-11-23T01:30:19.2670857Z             auto tmp1 = std::log(tmp0);
2022-11-23T01:30:19.2670984Z             auto tmp2 = std::floor(tmp1);
2022-11-23T01:30:19.2671106Z             auto tmp3 = std::ceil(tmp2);
2022-11-23T01:30:19.2671251Z             auto tmp4 = std::trunc(tmp3);
2022-11-23T01:30:19.2671389Z             auto tmp5 = std::lgamma(tmp4);
2022-11-23T01:30:19.2671533Z             auto tmp7 = std::fmod(tmp5, tmp6);
2022-11-23T01:30:19.2671661Z             auto tmp8 = tmp7 > 0 ? 1 : 0;
2022-11-23T01:30:19.2671787Z             auto tmp9 = tmp7 < 0 ? 1 : 0;
2022-11-23T01:30:19.2671977Z             auto tmp10 = tmp8 - tmp9;
2022-11-23T01:30:19.2672088Z             auto tmp11 = tmp10 + tmp6;
2022-11-23T01:30:19.2672212Z             in_out_ptr0[i0] = tmp11;
2022-11-23T01:30:19.2672308Z         }
2022-11-23T01:30:19.2672405Z     }
2022-11-23T01:30:19.2672499Z }
2022-11-23T01:30:19.2672611Z ''')
2022-11-23T01:30:19.2672620Z 
2022-11-23T01:30:19.2672631Z 
2022-11-23T01:30:19.2672774Z async_compile.wait(globals())
2022-11-23T01:30:19.2672886Z del async_compile
2022-11-23T01:30:19.2672895Z 
2022-11-23T01:30:19.2672991Z def call(args):
2022-11-23T01:30:19.2673103Z     x1_1, x2_1 = args
2022-11-23T01:30:19.2673207Z     args.clear()
2022-11-23T01:30:19.2673521Z     buf0 = empty_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2673644Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:19.2673926Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:30:19.2673994Z     del x1_1
2022-11-23T01:30:19.2674046Z     del x2_1
2022-11-23T01:30:19.2674117Z     return (buf1, )
2022-11-23T01:30:19.2674121Z 
2022-11-23T01:30:19.2674126Z 
2022-11-23T01:30:19.2674201Z if __name__ == "__main__":
2022-11-23T01:30:19.2674316Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2674446Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2674651Z     x1_1 = rand_strided((20, 10), (1, 20), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2674844Z     x2_1 = rand_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2674998Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:30:19.2675004Z 
2022-11-23T01:30:19.2675366Z [2022-11-23 01:21:51,574] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sh/cshldht2iokisx64xdqpd4jl6wwqa4xgflju6zamfmyjdazaszzj.py
2022-11-23T01:30:19.2675633Z [2022-11-23 01:21:51,574] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:19.2675638Z 
2022-11-23T01:30:19.2675731Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2675799Z import torch
2022-11-23T01:30:19.2675867Z import random
2022-11-23T01:30:19.2675983Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2676100Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2676105Z 
2022-11-23T01:30:19.2676219Z aten = torch.ops.aten
2022-11-23T01:30:19.2676348Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2676426Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2676431Z 
2022-11-23T01:30:19.2676438Z 
2022-11-23T01:30:19.2676572Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2676783Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2676902Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.2677009Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2677110Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:30:19.2677171Z {
2022-11-23T01:30:19.2677256Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2677318Z     {
2022-11-23T01:30:19.2677390Z         #pragma omp for 
2022-11-23T01:30:19.2677475Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.2677536Z         {
2022-11-23T01:30:19.2677674Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.2677806Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.2677893Z             auto tmp1 = tmp0.abs();
2022-11-23T01:30:19.2677963Z             auto tmp2 = tmp1.sin();
2022-11-23T01:30:19.2678039Z             auto tmp3 = tmp2.neg();
2022-11-23T01:30:19.2678120Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:30:19.2678255Z             auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2022-11-23T01:30:19.2678385Z             auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2022-11-23T01:30:19.2678465Z             auto tmp7 = tmp6.cos();
2022-11-23T01:30:19.2678552Z             auto tmp8 = tmp7.exp();
2022-11-23T01:30:19.2678622Z             auto tmp9 = tmp8.sqrt();
2022-11-23T01:30:19.2678703Z             auto tmp10 = tmp9 + tmp0;
2022-11-23T01:30:19.2678829Z             auto tmp12 = tmp10 - tmp11;
2022-11-23T01:30:19.2678918Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:30:19.2679001Z             auto tmp14 = tmp13 / tmp0;
2022-11-23T01:30:19.2679083Z             auto tmp15 = tmp14 * tmp14;
2022-11-23T01:30:19.2679171Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:30:19.2679241Z             auto tmp17 = tmp16 * tmp14;
2022-11-23T01:30:19.2679318Z             auto tmp18 = tmp17 * tmp17;
2022-11-23T01:30:19.2679402Z             auto tmp19 = tmp18.log();
2022-11-23T01:30:19.2679484Z             auto tmp20 = tmp19.floor();
2022-11-23T01:30:19.2679568Z             auto tmp21 = tmp20.ceil();
2022-11-23T01:30:19.2679648Z             auto tmp22 = tmp21.trunc();
2022-11-23T01:30:19.2679736Z             auto tmp23 = tmp22.lgamma();
2022-11-23T01:30:19.2679817Z             auto tmp24 = tmp23.fmod(tmp11);
2022-11-23T01:30:19.2679989Z             auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2022-11-23T01:30:19.2680162Z             auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2022-11-23T01:30:19.2680291Z             auto tmp27 = tmp25 - tmp26;
2022-11-23T01:30:19.2680377Z             auto tmp28 = tmp27 + tmp11;
2022-11-23T01:30:19.2680503Z             tmp28.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.2680570Z         }
2022-11-23T01:30:19.2680664Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.2680734Z         for(long i0=64; i0<70; i0+=1)
2022-11-23T01:30:19.2680798Z         {
2022-11-23T01:30:19.2680881Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.2680962Z             auto tmp12 = in_ptr1[i0];
2022-11-23T01:30:19.2681052Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:30:19.2681137Z             auto tmp2 = std::sin(tmp1);
2022-11-23T01:30:19.2681253Z             auto tmp3 = -tmp2;
2022-11-23T01:30:19.2681324Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:30:19.2681459Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:30:19.2681539Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:30:19.2681670Z             auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:30:19.2681763Z             auto tmp8 = std::cos(tmp7);
2022-11-23T01:30:19.2681846Z             auto tmp9 = std::exp(tmp8);
2022-11-23T01:30:19.2681939Z             auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:30:19.2682022Z             auto tmp11 = tmp10 + tmp0;
2022-11-23T01:30:19.2682136Z             auto tmp13 = tmp11 - tmp12;
2022-11-23T01:30:19.2682217Z             auto tmp14 = tmp13 * tmp0;
2022-11-23T01:30:19.2682296Z             auto tmp15 = tmp14 / tmp0;
2022-11-23T01:30:19.2682379Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:30:19.2682460Z             auto tmp17 = tmp16 * tmp16;
2022-11-23T01:30:19.2682540Z             auto tmp18 = tmp17 * tmp15;
2022-11-23T01:30:19.2682619Z             auto tmp19 = tmp18 * tmp18;
2022-11-23T01:30:19.2682695Z             auto tmp20 = std::log(tmp19);
2022-11-23T01:30:19.2682790Z             auto tmp21 = std::floor(tmp20);
2022-11-23T01:30:19.2682879Z             auto tmp22 = std::ceil(tmp21);
2022-11-23T01:30:19.2682979Z             auto tmp23 = std::trunc(tmp22);
2022-11-23T01:30:19.2683077Z             auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:30:19.2683175Z             auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:30:19.2683263Z             auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:30:19.2683338Z             auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:30:19.2683469Z             auto tmp28 = tmp26 - tmp27;
2022-11-23T01:30:19.2683556Z             auto tmp29 = tmp28 + tmp12;
2022-11-23T01:30:19.2683641Z             in_out_ptr0[i0] = tmp29;
2022-11-23T01:30:19.2683712Z         }
2022-11-23T01:30:19.2683802Z     }
2022-11-23T01:30:19.2683890Z }
2022-11-23T01:30:19.2684012Z ''')
2022-11-23T01:30:19.2684019Z 
2022-11-23T01:30:19.2684040Z 
2022-11-23T01:30:19.2684169Z async_compile.wait(globals())
2022-11-23T01:30:19.2684291Z del async_compile
2022-11-23T01:30:19.2684298Z 
2022-11-23T01:30:19.2684404Z def call(args):
2022-11-23T01:30:19.2684510Z     x1_1, x2_1 = args
2022-11-23T01:30:19.2684628Z     args.clear()
2022-11-23T01:30:19.2684958Z     buf0 = empty_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2685095Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:19.2685335Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:30:19.2685453Z     del x1_1
2022-11-23T01:30:19.2685553Z     del x2_1
2022-11-23T01:30:19.2685655Z     return (buf1, )
2022-11-23T01:30:19.2685662Z 
2022-11-23T01:30:19.2685668Z 
2022-11-23T01:30:19.2685777Z if __name__ == "__main__":
2022-11-23T01:30:19.2685947Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2686134Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2686401Z     x1_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2686675Z     x2_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2686827Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:30:19.2686836Z 
2022-11-23T01:30:19.2686929Z ok (5.062s)
2022-11-23T01:30:19.2687414Z   test_abs_cpu (__main__.CpuTests) ... [2022-11-23 01:21:51,580] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.2687874Z [2022-11-23 01:21:51,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.2688181Z [2022-11-23 01:21:51,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.2688538Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.2688935Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.2689396Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.2689944Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.2690429Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.2690968Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1989d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664> 
2022-11-23T01:30:19.2691098Z  665           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.2691224Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.2691355Z               4 LOAD_METHOD              1 (abs)
2022-11-23T01:30:19.2691476Z               6 LOAD_FAST                0 (a)
2022-11-23T01:30:19.2691600Z               8 CALL_METHOD              1
2022-11-23T01:30:19.2691723Z              10 LOAD_CONST               1 (1)
2022-11-23T01:30:19.2691812Z              12 BINARY_ADD
2022-11-23T01:30:19.2691921Z              14 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.2692046Z              16 BUILD_TUPLE              1
2022-11-23T01:30:19.2692157Z              18 RETURN_VALUE
2022-11-23T01:30:19.2692241Z  
2022-11-23T01:30:19.2692249Z 
2022-11-23T01:30:19.2692770Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:665
2022-11-23T01:30:19.2693051Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.2693455Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.2694005Z [2022-11-23 01:21:51,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR abs [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.2694368Z [2022-11-23 01:21:51,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.2694899Z [2022-11-23 01:21:51,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.2695212Z [2022-11-23 01:21:51,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.2695583Z [2022-11-23 01:21:51,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.2695973Z [2022-11-23 01:21:51,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.2696388Z [2022-11-23 01:21:51,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.2696920Z [2022-11-23 01:21:51,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.2697489Z [2022-11-23 01:21:51,585] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1989d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 664>
2022-11-23T01:30:19.2698002Z [2022-11-23 01:21:51,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.2698312Z [2022-11-23 01:21:51,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.2698671Z [2022-11-23 01:21:51,586] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.2699118Z [2022-11-23 01:21:51,589] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.2699419Z [2022-11-23 01:21:51,589] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.2699625Z  __compiled_fn_5 <eval_with_key>.47 opcode, name, target, args, kwargs
2022-11-23T01:30:19.2699747Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.2700129Z call_function, abs_1, <built-in method abs of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.2700418Z call_function, add, <built-in function add>, (abs_1, 1), {}
2022-11-23T01:30:19.2700745Z call_function, truediv, <built-in function truediv>, (ex_0_, add), {}
2022-11-23T01:30:19.2700896Z output, output, output, ((truediv,),), {}
2022-11-23T01:30:19.2700926Z 
2022-11-23T01:30:19.2701459Z [2022-11-23 01:21:51,590] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.2701619Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.2701764Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.2701902Z               4 BUILD_MAP                0
2022-11-23T01:30:19.2702052Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.2702199Z               8 DICT_MERGE               1
2022-11-23T01:30:19.2702352Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.2702458Z              12 RETURN_VALUE
2022-11-23T01:30:19.2702479Z 
2022-11-23T01:30:19.2702560Z  
2022-11-23T01:30:19.2703132Z [2022-11-23 01:21:51,590] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.2703308Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_5)
2022-11-23T01:30:19.2703413Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.2703534Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.2703660Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.2703804Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.2703948Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.2704085Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.2704226Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.2704344Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.2704476Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.2704588Z              20 RETURN_VALUE
2022-11-23T01:30:19.2704596Z 
2022-11-23T01:30:19.2704687Z  
2022-11-23T01:30:19.2704965Z [2022-11-23 01:21:51,590] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.2705085Z  - 
2022-11-23T01:30:19.2705284Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.2705374Z             {
2022-11-23T01:30:19.2705612Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.2705922Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.2706118Z                 'obj_weakref': None
2022-11-23T01:30:19.2706470Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.2706578Z             }
2022-11-23T01:30:19.2706680Z             
2022-11-23T01:30:19.2706787Z  - 
2022-11-23T01:30:19.2706980Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.2707072Z             {
2022-11-23T01:30:19.2707381Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2707520Z                 'code': None,
2022-11-23T01:30:19.2707832Z                 'obj_weakref': <weakref at 0x7ff5a885bce0; to 'Tensor' at 0x7ff5a84c3ab0>
2022-11-23T01:30:19.2708208Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2708305Z             }
2022-11-23T01:30:19.2708396Z             
2022-11-23T01:30:19.2708491Z  - 
2022-11-23T01:30:19.2708684Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.2708760Z             {
2022-11-23T01:30:19.2709057Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.2709355Z                 'code': ['___check_obj_id(model, 140693087080304)'],
2022-11-23T01:30:19.2709554Z                 'obj_weakref': None
2022-11-23T01:30:19.2710015Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.2710117Z             }
2022-11-23T01:30:19.2710218Z             
2022-11-23T01:30:19.2710308Z  - 
2022-11-23T01:30:19.2710477Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.2710558Z             {
2022-11-23T01:30:19.2710744Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.2710980Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.2711149Z                 'obj_weakref': None
2022-11-23T01:30:19.2711473Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.2711567Z             }
2022-11-23T01:30:19.2711645Z             
2022-11-23T01:30:19.2711751Z  - 
2022-11-23T01:30:19.2711953Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.2712056Z             {
2022-11-23T01:30:19.2712247Z                 'guard_types': None,
2022-11-23T01:30:19.2712412Z                 'code': None,
2022-11-23T01:30:19.2712579Z                 'obj_weakref': None
2022-11-23T01:30:19.2712777Z                 'guarded_class': None
2022-11-23T01:30:19.2712879Z             }
2022-11-23T01:30:19.2712982Z             
2022-11-23T01:30:19.2713397Z [2022-11-23 01:21:51,597] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 5
2022-11-23T01:30:19.2714007Z [2022-11-23 01:21:53,034] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ez/cezroid4btpzrzt67mtoynfaungiqew3x64gi3647z7zh3xzvtfo.py
2022-11-23T01:30:19.2714441Z [2022-11-23 01:21:53,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 5
2022-11-23T01:30:19.2714450Z 
2022-11-23T01:30:19.2714591Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2714680Z import torch
2022-11-23T01:30:19.2714780Z import random
2022-11-23T01:30:19.2714961Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2715156Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2715163Z 
2022-11-23T01:30:19.2715281Z aten = torch.ops.aten
2022-11-23T01:30:19.2715488Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2715626Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2715634Z 
2022-11-23T01:30:19.2715640Z 
2022-11-23T01:30:19.2715853Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2716151Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2716345Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2716492Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.2716587Z {
2022-11-23T01:30:19.2716739Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2716837Z     {
2022-11-23T01:30:19.2716951Z         #pragma omp for 
2022-11-23T01:30:19.2717051Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.2717160Z         {
2022-11-23T01:30:19.2717374Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.2717515Z             auto tmp1 = tmp0.abs();
2022-11-23T01:30:19.2717793Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.2717951Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.2718096Z             auto tmp4 = tmp0 / tmp3;
2022-11-23T01:30:19.2718240Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.2718320Z         }
2022-11-23T01:30:19.2718463Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.2718595Z         for(long i0=16; i0<17; i0+=1)
2022-11-23T01:30:19.2718692Z         {
2022-11-23T01:30:19.2718814Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.2718946Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:30:19.2719095Z             auto tmp2 = static_cast<float>(1);
2022-11-23T01:30:19.2719207Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.2719382Z             auto tmp4 = tmp0 / tmp3;
2022-11-23T01:30:19.2719502Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.2719599Z         }
2022-11-23T01:30:19.2719689Z     }
2022-11-23T01:30:19.2719779Z }
2022-11-23T01:30:19.2719893Z ''')
2022-11-23T01:30:19.2719918Z 
2022-11-23T01:30:19.2719924Z 
2022-11-23T01:30:19.2720046Z async_compile.wait(globals())
2022-11-23T01:30:19.2720159Z del async_compile
2022-11-23T01:30:19.2720166Z 
2022-11-23T01:30:19.2720275Z def call(args):
2022-11-23T01:30:19.2720374Z     arg0_1, = args
2022-11-23T01:30:19.2720477Z     args.clear()
2022-11-23T01:30:19.2720789Z     buf0 = empty_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2720987Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.2721077Z     del arg0_1
2022-11-23T01:30:19.2721184Z     return (buf0, )
2022-11-23T01:30:19.2721190Z 
2022-11-23T01:30:19.2721196Z 
2022-11-23T01:30:19.2721305Z if __name__ == "__main__":
2022-11-23T01:30:19.2721476Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.2721655Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.2721955Z     arg0_1 = rand_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.2722119Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.2722129Z 
2022-11-23T01:30:19.2722223Z ok (1.461s)
2022-11-23T01:30:19.2722746Z   test_adaptive_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:53,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.2723263Z [2022-11-23 01:21:53,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.2723615Z [2022-11-23 01:21:53,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.2724004Z [2022-11-23 01:21:53,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.2724432Z [2022-11-23 01:21:53,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.2724941Z [2022-11-23 01:21:53,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.2725499Z [2022-11-23 01:21:53,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.2726024Z [2022-11-23 01:21:53,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.2726587Z [2022-11-23 01:21:53,041] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d110f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:30:19.2726734Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.2726908Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:30:19.2727025Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.2727249Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:30:19.2727400Z                8 CALL_METHOD              2
2022-11-23T01:30:19.2727551Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.2727736Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:30:19.2727746Z 
2022-11-23T01:30:19.2727890Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:30:19.2728034Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:19.2728143Z               18 BINARY_ADD
2022-11-23T01:30:19.2728269Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:30:19.2728275Z 
2022-11-23T01:30:19.2728413Z 1916          22 CALL_METHOD              2
2022-11-23T01:30:19.2728552Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.2728668Z               26 RETURN_VALUE
2022-11-23T01:30:19.2728821Z  
2022-11-23T01:30:19.2728829Z 
2022-11-23T01:30:19.2729344Z [2022-11-23 01:21:53,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:30:19.2729688Z [2022-11-23 01:21:53,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.2730236Z [2022-11-23 01:21:53,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.2730673Z [2022-11-23 01:21:53,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:30:19.2731142Z [2022-11-23 01:21:53,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.2731692Z [2022-11-23 01:21:53,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.2732087Z [2022-11-23 01:21:53,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.2732650Z [2022-11-23 01:21:53,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.2733159Z [2022-11-23 01:21:53,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:30:19.2733656Z [2022-11-23 01:21:53,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:30:19.2734206Z [2022-11-23 01:21:53,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.2734811Z [2022-11-23 01:21:53,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.2735353Z [2022-11-23 01:21:53,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.2735861Z [2022-11-23 01:21:53,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:30:19.2736703Z [2022-11-23 01:21:53,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.2737249Z [2022-11-23 01:21:53,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.2737623Z [2022-11-23 01:21:53,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.2928140Z [2022-11-23 01:21:53,057] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d110f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:30:19.2928594Z [2022-11-23 01:21:53,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.2928994Z [2022-11-23 01:21:53,057] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.2929438Z [2022-11-23 01:21:53,058] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.2929848Z [2022-11-23 01:21:53,061] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.2930166Z [2022-11-23 01:21:53,062] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.2930462Z  __compiled_fn_6 <eval_with_key>.53 opcode, name, target, args, kwargs
2022-11-23T01:30:19.2930712Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.2930914Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:30:19.2931243Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.2931527Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:30:19.2931816Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:30:19.2931826Z 
2022-11-23T01:30:19.2932365Z [2022-11-23 01:21:53,062] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.2932541Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.2932754Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.2932983Z               4 BUILD_MAP                0
2022-11-23T01:30:19.2933153Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.2933272Z               8 DICT_MERGE               1
2022-11-23T01:30:19.2933451Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.2933606Z              12 RETURN_VALUE
2022-11-23T01:30:19.2933617Z 
2022-11-23T01:30:19.2933744Z  
2022-11-23T01:30:19.2934275Z [2022-11-23 01:21:53,062] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.2934475Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_6)
2022-11-23T01:30:19.2934644Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.2934759Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.2934911Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.2935086Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.2935277Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.2935472Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.2935640Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.2935788Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.2935977Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.2936100Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.2936316Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.2936592Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.2936781Z              26 RETURN_VALUE
2022-11-23T01:30:19.2936789Z 
2022-11-23T01:30:19.2936917Z  
2022-11-23T01:30:19.2937231Z [2022-11-23 01:21:53,063] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.2937368Z  - 
2022-11-23T01:30:19.2937525Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.2937653Z             {
2022-11-23T01:30:19.2937897Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.2938219Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.2938458Z                 'obj_weakref': None
2022-11-23T01:30:19.2938821Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.2938961Z             }
2022-11-23T01:30:19.2939043Z             
2022-11-23T01:30:19.2939280Z  - 
2022-11-23T01:30:19.2939534Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.2945034Z             {
2022-11-23T01:30:19.2945375Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.2945641Z                 'code': None,
2022-11-23T01:30:19.2948527Z                 'obj_weakref': <weakref at 0x7ff5a8501f30; to 'Tensor' at 0x7ff5a84935b0>
2022-11-23T01:30:19.2948905Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.2949040Z             }
2022-11-23T01:30:19.2949168Z             
2022-11-23T01:30:19.2949357Z  - 
2022-11-23T01:30:19.2949601Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.2949729Z             {
2022-11-23T01:30:19.2949964Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.2950312Z                 'code': ['___check_obj_id(model, 140693065977136)'],
2022-11-23T01:30:19.2950523Z                 'obj_weakref': None
2022-11-23T01:30:19.2950901Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.2951035Z             }
2022-11-23T01:30:19.2951169Z             
2022-11-23T01:30:19.2951338Z  - 
2022-11-23T01:30:19.2951561Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.2951639Z             {
2022-11-23T01:30:19.2951927Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.2952287Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.2952496Z                 'obj_weakref': None
2022-11-23T01:30:19.2952866Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.2953000Z             }
2022-11-23T01:30:19.2953123Z             
2022-11-23T01:30:19.2953213Z  - 
2022-11-23T01:30:19.2953463Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.2953589Z             {
2022-11-23T01:30:19.2953869Z                 'guard_types': None,
2022-11-23T01:30:19.2954064Z                 'code': None,
2022-11-23T01:30:19.2954273Z                 'obj_weakref': None
2022-11-23T01:30:19.2954492Z                 'guarded_class': None
2022-11-23T01:30:19.2954569Z             }
2022-11-23T01:30:19.2954686Z             
2022-11-23T01:30:19.2955103Z [2022-11-23 01:21:53,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 6
2022-11-23T01:30:19.2955532Z [2022-11-23 01:21:53,224] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T01:30:19.2955540Z 
2022-11-23T01:30:19.2955748Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.2955886Z import torch
2022-11-23T01:30:19.2956023Z import random
2022-11-23T01:30:19.2956177Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.2956399Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.2956407Z 
2022-11-23T01:30:19.2956551Z aten = torch.ops.aten
2022-11-23T01:30:19.2956777Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.2956942Z async_compile = AsyncCompile()
2022-11-23T01:30:19.2956950Z 
2022-11-23T01:30:19.2956956Z 
2022-11-23T01:30:19.2957217Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.2957555Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.2957764Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.2957892Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.2958077Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.2958203Z {
2022-11-23T01:30:19.2958385Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.2959046Z     {
2022-11-23T01:30:19.2959474Z         #pragma omp for 
2022-11-23T01:30:19.2959639Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.2959720Z         {
2022-11-23T01:30:19.2959901Z             #pragma GCC ivdep
2022-11-23T01:30:19.2960074Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:30:19.2960261Z             {
2022-11-23T01:30:19.2960427Z                 #pragma GCC ivdep
2022-11-23T01:30:19.2960609Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:30:19.2960732Z                 {
2022-11-23T01:30:19.2960814Z                     {
2022-11-23T01:30:19.2960946Z                         {
2022-11-23T01:30:19.2961146Z                             auto tmp0 = static_cast<long>(((8*i1) / 3));
2022-11-23T01:30:19.2961364Z                             auto tmp1 = static_cast<long>(((21 + (16*i1)) / 6));
2022-11-23T01:30:19.2961542Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:19.2961736Z                             auto tmp3 = static_cast<long>(((8*i2) / 3));
2022-11-23T01:30:19.2961929Z                             auto tmp4 = static_cast<long>(((21 + (16*i2)) / 6));
2022-11-23T01:30:19.3194347Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:30:19.3194640Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:30:19.3194773Z                             float tmp7 = 0.0;
2022-11-23T01:30:19.3194896Z                             if(tmp6)
2022-11-23T01:30:19.3195020Z                             {
2022-11-23T01:30:19.3195251Z                                 auto tmp8 = in_ptr0[(16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3195395Z                                 tmp7 = tmp8;
2022-11-23T01:30:19.3195507Z                             }
2022-11-23T01:30:19.3195701Z                             auto tmp9 = static_cast<long>(1 + (((8*i2) / 3)));
2022-11-23T01:30:19.3195867Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:30:19.3196008Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:30:19.3196155Z                             float tmp12 = 0.0;
2022-11-23T01:30:19.3196292Z                             if(tmp11)
2022-11-23T01:30:19.3196404Z                             {
2022-11-23T01:30:19.3196609Z                                 auto tmp13 = in_ptr0[1 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3196744Z                                 tmp12 = tmp13;
2022-11-23T01:30:19.3196862Z                             }
2022-11-23T01:30:19.3197006Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:30:19.3197195Z                             auto tmp15 = static_cast<long>(2 + (((8*i2) / 3)));
2022-11-23T01:30:19.3197364Z                             auto tmp16 = tmp15 < tmp4;
2022-11-23T01:30:19.3197516Z                             auto tmp17 = tmp2 & tmp16;
2022-11-23T01:30:19.3197654Z                             float tmp18 = 0.0;
2022-11-23T01:30:19.3197772Z                             if(tmp17)
2022-11-23T01:30:19.3197889Z                             {
2022-11-23T01:30:19.3198090Z                                 auto tmp19 = in_ptr0[2 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3198220Z                                 tmp18 = tmp19;
2022-11-23T01:30:19.3198343Z                             }
2022-11-23T01:30:19.3198491Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:30:19.3198683Z                             auto tmp21 = static_cast<long>(3 + (((8*i2) / 3)));
2022-11-23T01:30:19.3198851Z                             auto tmp22 = tmp21 < tmp4;
2022-11-23T01:30:19.3199005Z                             auto tmp23 = tmp2 & tmp22;
2022-11-23T01:30:19.3199148Z                             float tmp24 = 0.0;
2022-11-23T01:30:19.3199259Z                             if(tmp23)
2022-11-23T01:30:19.3199372Z                             {
2022-11-23T01:30:19.3199567Z                                 auto tmp25 = in_ptr0[3 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3199711Z                                 tmp24 = tmp25;
2022-11-23T01:30:19.3199820Z                             }
2022-11-23T01:30:19.3199982Z                             auto tmp26 = tmp24 + tmp20;
2022-11-23T01:30:19.3200175Z                             auto tmp27 = static_cast<long>(1 + (((8*i1) / 3)));
2022-11-23T01:30:19.3200553Z                             auto tmp28 = tmp27 < tmp1;
2022-11-23T01:30:19.3200701Z                             auto tmp29 = tmp28 & tmp5;
2022-11-23T01:30:19.3200859Z                             float tmp30 = 0.0;
2022-11-23T01:30:19.3200991Z                             if(tmp29)
2022-11-23T01:30:19.3201115Z                             {
2022-11-23T01:30:19.3201327Z                                 auto tmp31 = in_ptr0[16 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3201463Z                                 tmp30 = tmp31;
2022-11-23T01:30:19.3201578Z                             }
2022-11-23T01:30:19.3201728Z                             auto tmp32 = tmp30 + tmp26;
2022-11-23T01:30:19.3201885Z                             auto tmp33 = tmp28 & tmp10;
2022-11-23T01:30:19.3202135Z                             float tmp34 = 0.0;
2022-11-23T01:30:19.3202275Z                             if(tmp33)
2022-11-23T01:30:19.3202379Z                             {
2022-11-23T01:30:19.3202580Z                                 auto tmp35 = in_ptr0[17 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3202715Z                                 tmp34 = tmp35;
2022-11-23T01:30:19.3202832Z                             }
2022-11-23T01:30:19.3202969Z                             auto tmp36 = tmp34 + tmp32;
2022-11-23T01:30:19.3203124Z                             auto tmp37 = tmp28 & tmp16;
2022-11-23T01:30:19.3203262Z                             float tmp38 = 0.0;
2022-11-23T01:30:19.3203386Z                             if(tmp37)
2022-11-23T01:30:19.3203515Z                             {
2022-11-23T01:30:19.3203711Z                                 auto tmp39 = in_ptr0[18 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3203828Z                                 tmp38 = tmp39;
2022-11-23T01:30:19.3203935Z                             }
2022-11-23T01:30:19.3204093Z                             auto tmp40 = tmp38 + tmp36;
2022-11-23T01:30:19.3204248Z                             auto tmp41 = tmp28 & tmp22;
2022-11-23T01:30:19.3204389Z                             float tmp42 = 0.0;
2022-11-23T01:30:19.3204508Z                             if(tmp41)
2022-11-23T01:30:19.3204627Z                             {
2022-11-23T01:30:19.3204813Z                                 auto tmp43 = in_ptr0[19 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3204939Z                                 tmp42 = tmp43;
2022-11-23T01:30:19.3205011Z                             }
2022-11-23T01:30:19.3205154Z                             auto tmp44 = tmp42 + tmp40;
2022-11-23T01:30:19.3205351Z                             auto tmp45 = static_cast<long>(2 + (((8*i1) / 3)));
2022-11-23T01:30:19.3205513Z                             auto tmp46 = tmp45 < tmp1;
2022-11-23T01:30:19.3205672Z                             auto tmp47 = tmp46 & tmp5;
2022-11-23T01:30:19.3205816Z                             float tmp48 = 0.0;
2022-11-23T01:30:19.3205938Z                             if(tmp47)
2022-11-23T01:30:19.3206045Z                             {
2022-11-23T01:30:19.3206235Z                                 auto tmp49 = in_ptr0[32 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3206378Z                                 tmp48 = tmp49;
2022-11-23T01:30:19.3206498Z                             }
2022-11-23T01:30:19.3206653Z                             auto tmp50 = tmp48 + tmp44;
2022-11-23T01:30:19.3206817Z                             auto tmp51 = tmp46 & tmp10;
2022-11-23T01:30:19.3206959Z                             float tmp52 = 0.0;
2022-11-23T01:30:19.3207064Z                             if(tmp51)
2022-11-23T01:30:19.3207180Z                             {
2022-11-23T01:30:19.3207389Z                                 auto tmp53 = in_ptr0[33 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3207537Z                                 tmp52 = tmp53;
2022-11-23T01:30:19.3207654Z                             }
2022-11-23T01:30:19.3207867Z                             auto tmp54 = tmp52 + tmp50;
2022-11-23T01:30:19.3208024Z                             auto tmp55 = tmp46 & tmp16;
2022-11-23T01:30:19.3208169Z                             float tmp56 = 0.0;
2022-11-23T01:30:19.3208276Z                             if(tmp55)
2022-11-23T01:30:19.3208388Z                             {
2022-11-23T01:30:19.3208589Z                                 auto tmp57 = in_ptr0[34 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3208734Z                                 tmp56 = tmp57;
2022-11-23T01:30:19.3208852Z                             }
2022-11-23T01:30:19.3209004Z                             auto tmp58 = tmp56 + tmp54;
2022-11-23T01:30:19.3209156Z                             auto tmp59 = tmp46 & tmp22;
2022-11-23T01:30:19.3209279Z                             float tmp60 = 0.0;
2022-11-23T01:30:19.3209459Z                             if(tmp59)
2022-11-23T01:30:19.3209578Z                             {
2022-11-23T01:30:19.3209766Z                                 auto tmp61 = in_ptr0[35 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3209906Z                                 tmp60 = tmp61;
2022-11-23T01:30:19.3210014Z                             }
2022-11-23T01:30:19.3210167Z                             auto tmp62 = tmp60 + tmp58;
2022-11-23T01:30:19.3210355Z                             auto tmp63 = static_cast<long>(3 + (((8*i1) / 3)));
2022-11-23T01:30:19.3210489Z                             auto tmp64 = tmp63 < tmp1;
2022-11-23T01:30:19.3210644Z                             auto tmp65 = tmp64 & tmp5;
2022-11-23T01:30:19.3210787Z                             float tmp66 = 0.0;
2022-11-23T01:30:19.3210914Z                             if(tmp65)
2022-11-23T01:30:19.3211031Z                             {
2022-11-23T01:30:19.3211217Z                                 auto tmp67 = in_ptr0[48 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3211360Z                                 tmp66 = tmp67;
2022-11-23T01:30:19.3211456Z                             }
2022-11-23T01:30:19.3211613Z                             auto tmp68 = tmp66 + tmp62;
2022-11-23T01:30:19.3211763Z                             auto tmp69 = tmp64 & tmp10;
2022-11-23T01:30:19.3211912Z                             float tmp70 = 0.0;
2022-11-23T01:30:19.3212035Z                             if(tmp69)
2022-11-23T01:30:19.3212149Z                             {
2022-11-23T01:30:19.3212337Z                                 auto tmp71 = in_ptr0[49 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3212475Z                                 tmp70 = tmp71;
2022-11-23T01:30:19.3212570Z                             }
2022-11-23T01:30:19.3212727Z                             auto tmp72 = tmp70 + tmp68;
2022-11-23T01:30:19.3212870Z                             auto tmp73 = tmp64 & tmp16;
2022-11-23T01:30:19.3213021Z                             float tmp74 = 0.0;
2022-11-23T01:30:19.3213153Z                             if(tmp73)
2022-11-23T01:30:19.3213263Z                             {
2022-11-23T01:30:19.3213465Z                                 auto tmp75 = in_ptr0[50 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3213589Z                                 tmp74 = tmp75;
2022-11-23T01:30:19.3213696Z                             }
2022-11-23T01:30:19.3213851Z                             auto tmp76 = tmp74 + tmp72;
2022-11-23T01:30:19.3214007Z                             auto tmp77 = tmp64 & tmp22;
2022-11-23T01:30:19.3214153Z                             float tmp78 = 0.0;
2022-11-23T01:30:19.3214272Z                             if(tmp77)
2022-11-23T01:30:19.3214390Z                             {
2022-11-23T01:30:19.3214561Z                                 auto tmp79 = in_ptr0[51 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:30:19.3214699Z                                 tmp78 = tmp79;
2022-11-23T01:30:19.3214811Z                             }
2022-11-23T01:30:19.3214963Z                             auto tmp80 = tmp78 + tmp76;
2022-11-23T01:30:19.3215150Z                             float tmp81 = 0.0;
2022-11-23T01:30:19.3215268Z                             if(tmp6)
2022-11-23T01:30:19.3215375Z                             {
2022-11-23T01:30:19.3215559Z                                 auto tmp82 = static_cast<float>(1);
2022-11-23T01:30:19.3215681Z                                 tmp81 = tmp82;
2022-11-23T01:30:19.3215783Z                             }
2022-11-23T01:30:19.3215912Z                             float tmp83 = 0.0;
2022-11-23T01:30:19.3216041Z                             if(tmp11)
2022-11-23T01:30:19.3216160Z                             {
2022-11-23T01:30:19.3216340Z                                 auto tmp84 = static_cast<float>(1);
2022-11-23T01:30:19.3216587Z                                 tmp83 = tmp84;
2022-11-23T01:30:19.3216763Z                             }
2022-11-23T01:30:19.3216922Z                             auto tmp85 = tmp83 + tmp81;
2022-11-23T01:30:19.3217072Z                             float tmp86 = 0.0;
2022-11-23T01:30:19.3217205Z                             if(tmp17)
2022-11-23T01:30:19.3217319Z                             {
2022-11-23T01:30:19.3217488Z                                 auto tmp87 = static_cast<float>(1);
2022-11-23T01:30:19.3217619Z                                 tmp86 = tmp87;
2022-11-23T01:30:19.3217713Z                             }
2022-11-23T01:30:19.3217865Z                             auto tmp88 = tmp86 + tmp85;
2022-11-23T01:30:19.3218012Z                             float tmp89 = 0.0;
2022-11-23T01:30:19.3218129Z                             if(tmp23)
2022-11-23T01:30:19.3218233Z                             {
2022-11-23T01:30:19.3218401Z                                 auto tmp90 = static_cast<float>(1);
2022-11-23T01:30:19.3218535Z                                 tmp89 = tmp90;
2022-11-23T01:30:19.3218636Z                             }
2022-11-23T01:30:19.3218780Z                             auto tmp91 = tmp89 + tmp88;
2022-11-23T01:30:19.3218913Z                             float tmp92 = 0.0;
2022-11-23T01:30:19.3219035Z                             if(tmp29)
2022-11-23T01:30:19.3219144Z                             {
2022-11-23T01:30:19.3219312Z                                 auto tmp93 = static_cast<float>(1);
2022-11-23T01:30:19.3219436Z                                 tmp92 = tmp93;
2022-11-23T01:30:19.3219547Z                             }
2022-11-23T01:30:19.3219681Z                             auto tmp94 = tmp92 + tmp91;
2022-11-23T01:30:19.3219814Z                             float tmp95 = 0.0;
2022-11-23T01:30:19.3219937Z                             if(tmp33)
2022-11-23T01:30:19.3220052Z                             {
2022-11-23T01:30:19.3220219Z                                 auto tmp96 = static_cast<float>(1);
2022-11-23T01:30:19.3220351Z                                 tmp95 = tmp96;
2022-11-23T01:30:19.3220467Z                             }
2022-11-23T01:30:19.3220604Z                             auto tmp97 = tmp95 + tmp94;
2022-11-23T01:30:19.3220752Z                             float tmp98 = 0.0;
2022-11-23T01:30:19.3220868Z                             if(tmp37)
2022-11-23T01:30:19.3220972Z                             {
2022-11-23T01:30:19.3221140Z                                 auto tmp99 = static_cast<float>(1);
2022-11-23T01:30:19.3221269Z                                 tmp98 = tmp99;
2022-11-23T01:30:19.3221378Z                             }
2022-11-23T01:30:19.3221521Z                             auto tmp100 = tmp98 + tmp97;
2022-11-23T01:30:19.3221658Z                             float tmp101 = 0.0;
2022-11-23T01:30:19.3221777Z                             if(tmp41)
2022-11-23T01:30:19.3221884Z                             {
2022-11-23T01:30:19.3222066Z                                 auto tmp102 = static_cast<float>(1);
2022-11-23T01:30:19.3222208Z                                 tmp101 = tmp102;
2022-11-23T01:30:19.3222328Z                             }
2022-11-23T01:30:19.3222466Z                             auto tmp103 = tmp101 + tmp100;
2022-11-23T01:30:19.3222681Z                             float tmp104 = 0.0;
2022-11-23T01:30:19.3222812Z                             if(tmp47)
2022-11-23T01:30:19.3222933Z                             {
2022-11-23T01:30:19.3223110Z                                 auto tmp105 = static_cast<float>(1);
2022-11-23T01:30:19.3223259Z                                 tmp104 = tmp105;
2022-11-23T01:30:19.3223354Z                             }
2022-11-23T01:30:19.3223512Z                             auto tmp106 = tmp104 + tmp103;
2022-11-23T01:30:19.3223654Z                             float tmp107 = 0.0;
2022-11-23T01:30:19.3223788Z                             if(tmp51)
2022-11-23T01:30:19.3223912Z                             {
2022-11-23T01:30:19.3224105Z                                 auto tmp108 = static_cast<float>(1);
2022-11-23T01:30:19.3224281Z                                 tmp107 = tmp108;
2022-11-23T01:30:19.3224385Z                             }
2022-11-23T01:30:19.3224532Z                             auto tmp109 = tmp107 + tmp106;
2022-11-23T01:30:19.3224670Z                             float tmp110 = 0.0;
2022-11-23T01:30:19.3224788Z                             if(tmp55)
2022-11-23T01:30:19.3224900Z                             {
2022-11-23T01:30:19.3225075Z                                 auto tmp111 = static_cast<float>(1);
2022-11-23T01:30:19.3225209Z                                 tmp110 = tmp111;
2022-11-23T01:30:19.3225317Z                             }
2022-11-23T01:30:19.3225468Z                             auto tmp112 = tmp110 + tmp109;
2022-11-23T01:30:19.3225583Z                             float tmp113 = 0.0;
2022-11-23T01:30:19.3225707Z                             if(tmp59)
2022-11-23T01:30:19.3225823Z                             {
2022-11-23T01:30:19.3226004Z                                 auto tmp114 = static_cast<float>(1);
2022-11-23T01:30:19.3226126Z                                 tmp113 = tmp114;
2022-11-23T01:30:19.3226234Z                             }
2022-11-23T01:30:19.3226397Z                             auto tmp115 = tmp113 + tmp112;
2022-11-23T01:30:19.3226526Z                             float tmp116 = 0.0;
2022-11-23T01:30:19.3226648Z                             if(tmp65)
2022-11-23T01:30:19.3226742Z                             {
2022-11-23T01:30:19.3226920Z                                 auto tmp117 = static_cast<float>(1);
2022-11-23T01:30:19.3227056Z                                 tmp116 = tmp117;
2022-11-23T01:30:19.3227169Z                             }
2022-11-23T01:30:19.3227313Z                             auto tmp118 = tmp116 + tmp115;
2022-11-23T01:30:19.3227464Z                             float tmp119 = 0.0;
2022-11-23T01:30:19.3227575Z                             if(tmp69)
2022-11-23T01:30:19.3227680Z                             {
2022-11-23T01:30:19.3227843Z                                 auto tmp120 = static_cast<float>(1);
2022-11-23T01:30:19.3227988Z                                 tmp119 = tmp120;
2022-11-23T01:30:19.3228101Z                             }
2022-11-23T01:30:19.3228247Z                             auto tmp121 = tmp119 + tmp118;
2022-11-23T01:30:19.3228383Z                             float tmp122 = 0.0;
2022-11-23T01:30:19.3228486Z                             if(tmp73)
2022-11-23T01:30:19.3228598Z                             {
2022-11-23T01:30:19.3228772Z                                 auto tmp123 = static_cast<float>(1);
2022-11-23T01:30:19.3228896Z                                 tmp122 = tmp123;
2022-11-23T01:30:19.3229001Z                             }
2022-11-23T01:30:19.3229163Z                             auto tmp124 = tmp122 + tmp121;
2022-11-23T01:30:19.3229295Z                             float tmp125 = 0.0;
2022-11-23T01:30:19.3229396Z                             if(tmp77)
2022-11-23T01:30:19.3229506Z                             {
2022-11-23T01:30:19.3229677Z                                 auto tmp126 = static_cast<float>(1);
2022-11-23T01:30:19.3229806Z                                 tmp125 = tmp126;
2022-11-23T01:30:19.3229918Z                             }
2022-11-23T01:30:19.3230110Z                             auto tmp127 = tmp125 + tmp124;
2022-11-23T01:30:19.3230264Z                             auto tmp128 = tmp80 / tmp127;
2022-11-23T01:30:19.3230429Z                             out_ptr0[i2 + (6*i1) + (36*i0)] = tmp128;
2022-11-23T01:30:19.3230526Z                         }
2022-11-23T01:30:19.3230638Z                     }
2022-11-23T01:30:19.3230734Z                 }
2022-11-23T01:30:19.3230841Z             }
2022-11-23T01:30:19.3230935Z         }
2022-11-23T01:30:19.3231064Z         #pragma omp for 
2022-11-23T01:30:19.3231179Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:19.3231285Z         {
2022-11-23T01:30:19.3231528Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.3231747Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.3231933Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3232076Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.3232186Z         }
2022-11-23T01:30:19.3232325Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3232449Z         for(long i0=2048; i0<2048; i0+=1)
2022-11-23T01:30:19.3232540Z         {
2022-11-23T01:30:19.3232673Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3232830Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.3232968Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3233097Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.3233189Z         }
2022-11-23T01:30:19.3233274Z     }
2022-11-23T01:30:19.3233365Z }
2022-11-23T01:30:19.3233586Z ''')
2022-11-23T01:30:19.3233598Z 
2022-11-23T01:30:19.3233606Z 
2022-11-23T01:30:19.3233749Z async_compile.wait(globals())
2022-11-23T01:30:19.3233918Z del async_compile
2022-11-23T01:30:19.3233925Z 
2022-11-23T01:30:19.3234038Z def call(args):
2022-11-23T01:30:19.3234161Z     arg0_1, = args
2022-11-23T01:30:19.3234256Z     args.clear()
2022-11-23T01:30:19.3234633Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3235006Z     buf1 = empty_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3235268Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.3235375Z     del arg0_1
2022-11-23T01:30:19.3235545Z     buf2 = aten._adaptive_avg_pool2d(buf1, [2, 5])
2022-11-23T01:30:19.3235656Z     del buf1
2022-11-23T01:30:19.3235746Z     buf3 = buf2
2022-11-23T01:30:19.3235919Z     assert_size_stride(buf3, (2, 4, 2, 5), (40, 10, 5, 1))
2022-11-23T01:30:19.3236017Z     del buf2
2022-11-23T01:30:19.3236141Z     return (buf0, buf3, )
2022-11-23T01:30:19.3236150Z 
2022-11-23T01:30:19.3236156Z 
2022-11-23T01:30:19.3236278Z if __name__ == "__main__":
2022-11-23T01:30:19.3236463Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3236660Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3237017Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3237182Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3237798Z [2022-11-23 01:21:54,950] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7r/c7rjjueqdrpdbnks4qovnjkenh3h4f5ckimvhrtkintgzyrxgzjj.py
2022-11-23T01:30:19.3238236Z [2022-11-23 01:21:54,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 6
2022-11-23T01:30:19.3238619Z [2022-11-23 01:21:54,954] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3239156Z [2022-11-23 01:21:54,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3239519Z [2022-11-23 01:21:54,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3240000Z [2022-11-23 01:21:54,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3240463Z [2022-11-23 01:21:54,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3241008Z [2022-11-23 01:21:54,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3241605Z [2022-11-23 01:21:54,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3242138Z [2022-11-23 01:21:54,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3242748Z [2022-11-23 01:21:54,955] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d110f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:30:19.3242938Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3243111Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:30:19.3243262Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3243405Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:30:19.3243545Z                8 CALL_METHOD              2
2022-11-23T01:30:19.3243702Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3243880Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:30:19.3243890Z 
2022-11-23T01:30:19.3244011Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3244151Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3244266Z               18 BINARY_ADD
2022-11-23T01:30:19.3244410Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:30:19.3244420Z 
2022-11-23T01:30:19.3244549Z 1916          22 CALL_METHOD              2
2022-11-23T01:30:19.3244690Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.3244810Z               26 RETURN_VALUE
2022-11-23T01:30:19.3244910Z  
2022-11-23T01:30:19.3244917Z 
2022-11-23T01:30:19.3245474Z [2022-11-23 01:21:54,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:30:19.3245855Z [2022-11-23 01:21:54,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3246443Z [2022-11-23 01:21:54,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3246911Z [2022-11-23 01:21:54,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:30:19.3247483Z [2022-11-23 01:21:54,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3248134Z [2022-11-23 01:21:54,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.3248537Z [2022-11-23 01:21:54,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.3249122Z [2022-11-23 01:21:54,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3249645Z [2022-11-23 01:21:54,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:30:19.3250146Z [2022-11-23 01:21:54,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:30:19.3250680Z [2022-11-23 01:21:54,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3251353Z [2022-11-23 01:21:54,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3251900Z [2022-11-23 01:21:54,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3252411Z [2022-11-23 01:21:54,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:30:19.3253014Z [2022-11-23 01:21:54,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.3253493Z [2022-11-23 01:21:54,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3253881Z [2022-11-23 01:21:54,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3254491Z [2022-11-23 01:21:54,971] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d110f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:30:19.3254893Z [2022-11-23 01:21:54,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3255274Z [2022-11-23 01:21:54,971] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3255692Z [2022-11-23 01:21:54,972] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3256101Z [2022-11-23 01:21:54,975] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3256397Z [2022-11-23 01:21:54,976] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3256707Z  __compiled_fn_7 <eval_with_key>.59 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3256846Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3257085Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:30:19.3257364Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.3257604Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:30:19.3257834Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:30:19.3257843Z 
2022-11-23T01:30:19.3258377Z [2022-11-23 01:21:54,976] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3258530Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3258655Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3258791Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3258933Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3259076Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3259224Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3259340Z              12 RETURN_VALUE
2022-11-23T01:30:19.3259349Z 
2022-11-23T01:30:19.3259448Z  
2022-11-23T01:30:19.3259988Z [2022-11-23 01:21:54,976] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3260144Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_7)
2022-11-23T01:30:19.3260291Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3260439Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3260556Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3260700Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3260875Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3261034Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3261240Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3261366Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3261528Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3261665Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3261783Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.3261923Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.3262040Z              26 RETURN_VALUE
2022-11-23T01:30:19.3262051Z 
2022-11-23T01:30:19.3262142Z  
2022-11-23T01:30:19.3262425Z [2022-11-23 01:21:54,977] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3262544Z  - 
2022-11-23T01:30:19.3262740Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3262839Z             {
2022-11-23T01:30:19.3263148Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3263453Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3263655Z                 'obj_weakref': None
2022-11-23T01:30:19.3263993Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3264103Z             }
2022-11-23T01:30:19.3264202Z             
2022-11-23T01:30:19.3264327Z  - 
2022-11-23T01:30:19.3264556Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3264667Z             {
2022-11-23T01:30:19.3264892Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3265056Z                 'code': None,
2022-11-23T01:30:19.3265401Z                 'obj_weakref': <weakref at 0x7ff5a81803b0; to 'Tensor' at 0x7ff5a84935b0>
2022-11-23T01:30:19.3265810Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3265922Z             }
2022-11-23T01:30:19.3266030Z             
2022-11-23T01:30:19.3266144Z  - 
2022-11-23T01:30:19.3266366Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3266450Z             {
2022-11-23T01:30:19.3266674Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3266944Z                 'code': ['___check_obj_id(model, 140693065977136)'],
2022-11-23T01:30:19.3267133Z                 'obj_weakref': None
2022-11-23T01:30:19.3267508Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3267609Z             }
2022-11-23T01:30:19.3267704Z             
2022-11-23T01:30:19.3267802Z  - 
2022-11-23T01:30:19.3267998Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3268098Z             {
2022-11-23T01:30:19.3268310Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3268652Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3268842Z                 'obj_weakref': None
2022-11-23T01:30:19.3269198Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3269305Z             }
2022-11-23T01:30:19.3269391Z             
2022-11-23T01:30:19.3269497Z  - 
2022-11-23T01:30:19.3269707Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3269809Z             {
2022-11-23T01:30:19.3269999Z                 'guard_types': None,
2022-11-23T01:30:19.3270156Z                 'code': None,
2022-11-23T01:30:19.3270331Z                 'obj_weakref': None
2022-11-23T01:30:19.3270526Z                 'guarded_class': None
2022-11-23T01:30:19.3270630Z             }
2022-11-23T01:30:19.3270727Z             
2022-11-23T01:30:19.3271149Z [2022-11-23 01:21:54,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 7
2022-11-23T01:30:19.3271157Z 
2022-11-23T01:30:19.3271166Z 
2022-11-23T01:30:19.3271318Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3271429Z import torch
2022-11-23T01:30:19.3271530Z import random
2022-11-23T01:30:19.3271699Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3271932Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3271941Z 
2022-11-23T01:30:19.3272070Z aten = torch.ops.aten
2022-11-23T01:30:19.3272290Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3272436Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3272443Z 
2022-11-23T01:30:19.3272449Z 
2022-11-23T01:30:19.3272676Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3272997Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3273178Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3273319Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.3273479Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.3273581Z {
2022-11-23T01:30:19.3273738Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3273936Z     {
2022-11-23T01:30:19.3274064Z         #pragma omp for 
2022-11-23T01:30:19.3274200Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3274283Z         {
2022-11-23T01:30:19.3274415Z             #pragma GCC ivdep
2022-11-23T01:30:19.3274542Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:30:19.3274645Z             {
2022-11-23T01:30:19.3274780Z                 #pragma GCC ivdep
2022-11-23T01:30:19.3274918Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:30:19.3275020Z                 {
2022-11-23T01:30:19.3275111Z                     {
2022-11-23T01:30:19.3275219Z                         {
2022-11-23T01:30:19.3275396Z                             auto tmp0 = static_cast<long>((i1 / 2));
2022-11-23T01:30:19.3275586Z                             auto tmp1 = static_cast<long>(((8 + (3*i1)) / 6));
2022-11-23T01:30:19.3275736Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:19.3275908Z                             auto tmp3 = static_cast<long>((i2 / 2));
2022-11-23T01:30:19.3276091Z                             auto tmp4 = static_cast<long>(((8 + (3*i2)) / 6));
2022-11-23T01:30:19.3276242Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:30:19.3276382Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:30:19.3276520Z                             float tmp7 = 0.0;
2022-11-23T01:30:19.3276634Z                             if(tmp6)
2022-11-23T01:30:19.3276743Z                             {
2022-11-23T01:30:19.3276924Z                                 auto tmp8 = in_ptr0[(3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:30:19.3277066Z                                 tmp7 = tmp8;
2022-11-23T01:30:19.3277175Z                             }
2022-11-23T01:30:19.3277337Z                             auto tmp9 = static_cast<long>(1 + (i2 / 2));
2022-11-23T01:30:19.3277491Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:30:19.3277643Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:30:19.3277789Z                             float tmp12 = 0.0;
2022-11-23T01:30:19.3277907Z                             if(tmp11)
2022-11-23T01:30:19.3278012Z                             {
2022-11-23T01:30:19.3278190Z                                 auto tmp13 = in_ptr0[1 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:30:19.3278322Z                                 tmp12 = tmp13;
2022-11-23T01:30:19.3278415Z                             }
2022-11-23T01:30:19.3278570Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:30:19.3278746Z                             auto tmp15 = static_cast<long>(1 + (i1 / 2));
2022-11-23T01:30:19.3278902Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:30:19.3279050Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:30:19.3279181Z                             float tmp18 = 0.0;
2022-11-23T01:30:19.3279309Z                             if(tmp17)
2022-11-23T01:30:19.3279400Z                             {
2022-11-23T01:30:19.3279588Z                                 auto tmp19 = in_ptr0[3 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:30:19.3279726Z                                 tmp18 = tmp19;
2022-11-23T01:30:19.3279893Z                             }
2022-11-23T01:30:19.3280056Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:30:19.3280195Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:30:19.3280340Z                             float tmp22 = 0.0;
2022-11-23T01:30:19.3280462Z                             if(tmp21)
2022-11-23T01:30:19.3280565Z                             {
2022-11-23T01:30:19.3280742Z                                 auto tmp23 = in_ptr0[4 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:30:19.3280874Z                                 tmp22 = tmp23;
2022-11-23T01:30:19.3280989Z                             }
2022-11-23T01:30:19.3281128Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:30:19.3281265Z                             float tmp25 = 0.0;
2022-11-23T01:30:19.3281423Z                             if(tmp6)
2022-11-23T01:30:19.3281511Z                             {
2022-11-23T01:30:19.3281688Z                                 auto tmp26 = static_cast<float>(1);
2022-11-23T01:30:19.3281811Z                                 tmp25 = tmp26;
2022-11-23T01:30:19.3281917Z                             }
2022-11-23T01:30:19.3282047Z                             float tmp27 = 0.0;
2022-11-23T01:30:19.3282169Z                             if(tmp11)
2022-11-23T01:30:19.3282274Z                             {
2022-11-23T01:30:19.3282451Z                                 auto tmp28 = static_cast<float>(1);
2022-11-23T01:30:19.3282563Z                                 tmp27 = tmp28;
2022-11-23T01:30:19.3282671Z                             }
2022-11-23T01:30:19.3282818Z                             auto tmp29 = tmp27 + tmp25;
2022-11-23T01:30:19.3282947Z                             float tmp30 = 0.0;
2022-11-23T01:30:19.3283066Z                             if(tmp17)
2022-11-23T01:30:19.3283179Z                             {
2022-11-23T01:30:19.3283350Z                                 auto tmp31 = static_cast<float>(1);
2022-11-23T01:30:19.3283467Z                                 tmp30 = tmp31;
2022-11-23T01:30:19.3283584Z                             }
2022-11-23T01:30:19.3283728Z                             auto tmp32 = tmp30 + tmp29;
2022-11-23T01:30:19.3283865Z                             float tmp33 = 0.0;
2022-11-23T01:30:19.3283987Z                             if(tmp21)
2022-11-23T01:30:19.3284089Z                             {
2022-11-23T01:30:19.3284252Z                                 auto tmp34 = static_cast<float>(1);
2022-11-23T01:30:19.3284361Z                                 tmp33 = tmp34;
2022-11-23T01:30:19.3284468Z                             }
2022-11-23T01:30:19.3284616Z                             auto tmp35 = tmp33 + tmp32;
2022-11-23T01:30:19.3284767Z                             auto tmp36 = tmp24 / tmp35;
2022-11-23T01:30:19.3284923Z                             out_ptr0[i2 + (6*i1) + (36*i0)] = tmp36;
2022-11-23T01:30:19.3285029Z                         }
2022-11-23T01:30:19.3285133Z                     }
2022-11-23T01:30:19.3285248Z                 }
2022-11-23T01:30:19.3285344Z             }
2022-11-23T01:30:19.3285453Z         }
2022-11-23T01:30:19.3285595Z         #pragma omp for 
2022-11-23T01:30:19.3285736Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3285843Z         {
2022-11-23T01:30:19.3285984Z             #pragma GCC ivdep
2022-11-23T01:30:19.3286116Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.3286231Z             {
2022-11-23T01:30:19.3286375Z                 #pragma GCC ivdep
2022-11-23T01:30:19.3286524Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:30:19.3286646Z                 {
2022-11-23T01:30:19.3286762Z                     {
2022-11-23T01:30:19.3286881Z                         {
2022-11-23T01:30:19.3287068Z                             auto tmp0 = static_cast<long>(((3*i1) / 2));
2022-11-23T01:30:19.3287247Z                             auto tmp1 = static_cast<long>(2 + (((3*i1) / 2)));
2022-11-23T01:30:19.3287417Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:19.3287673Z                             auto tmp3 = static_cast<long>(((3*i2) / 5));
2022-11-23T01:30:19.3287890Z                             auto tmp4 = static_cast<long>(((7 + (3*i2)) / 5));
2022-11-23T01:30:19.3288029Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:30:19.3288160Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:30:19.3288238Z                             float tmp7 = 0.0;
2022-11-23T01:30:19.3288312Z                             if(tmp6)
2022-11-23T01:30:19.3288381Z                             {
2022-11-23T01:30:19.3288499Z                                 auto tmp8 = in_ptr0[(3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:30:19.3288602Z                                 auto tmp9 = static_cast<float>(1);
2022-11-23T01:30:19.3288693Z                                 auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:19.3288810Z                                 tmp7 = tmp10;
2022-11-23T01:30:19.3288883Z                             }
2022-11-23T01:30:19.3288990Z                             auto tmp11 = static_cast<long>(1 + (((3*i2) / 5)));
2022-11-23T01:30:19.3289089Z                             auto tmp12 = tmp11 < tmp4;
2022-11-23T01:30:19.3289184Z                             auto tmp13 = tmp2 & tmp12;
2022-11-23T01:30:19.3289271Z                             float tmp14 = 0.0;
2022-11-23T01:30:19.3289347Z                             if(tmp13)
2022-11-23T01:30:19.3289415Z                             {
2022-11-23T01:30:19.3289540Z                                 auto tmp15 = in_ptr0[1 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:30:19.3289636Z                                 auto tmp16 = static_cast<float>(1);
2022-11-23T01:30:19.3289734Z                                 auto tmp17 = tmp15 + tmp16;
2022-11-23T01:30:19.3289813Z                                 tmp14 = tmp17;
2022-11-23T01:30:19.3289878Z                             }
2022-11-23T01:30:19.3289971Z                             auto tmp18 = tmp14 + tmp7;
2022-11-23T01:30:19.3290088Z                             auto tmp19 = static_cast<long>(1 + (((3*i1) / 2)));
2022-11-23T01:30:19.3290179Z                             auto tmp20 = tmp19 < tmp1;
2022-11-23T01:30:19.3290272Z                             auto tmp21 = tmp20 & tmp5;
2022-11-23T01:30:19.3290348Z                             float tmp22 = 0.0;
2022-11-23T01:30:19.3290419Z                             if(tmp21)
2022-11-23T01:30:19.3290484Z                             {
2022-11-23T01:30:19.3290603Z                                 auto tmp23 = in_ptr0[3 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:30:19.3290707Z                                 auto tmp24 = static_cast<float>(1);
2022-11-23T01:30:19.3290800Z                                 auto tmp25 = tmp23 + tmp24;
2022-11-23T01:30:19.3290879Z                                 tmp22 = tmp25;
2022-11-23T01:30:19.3290939Z                             }
2022-11-23T01:30:19.3291029Z                             auto tmp26 = tmp22 + tmp18;
2022-11-23T01:30:19.3291123Z                             auto tmp27 = tmp20 & tmp12;
2022-11-23T01:30:19.3291208Z                             float tmp28 = 0.0;
2022-11-23T01:30:19.3291278Z                             if(tmp27)
2022-11-23T01:30:19.3291345Z                             {
2022-11-23T01:30:19.3291461Z                                 auto tmp29 = in_ptr0[4 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:30:19.3291557Z                                 auto tmp30 = static_cast<float>(1);
2022-11-23T01:30:19.3291653Z                                 auto tmp31 = tmp29 + tmp30;
2022-11-23T01:30:19.3291732Z                                 tmp28 = tmp31;
2022-11-23T01:30:19.3291798Z                             }
2022-11-23T01:30:19.3291890Z                             auto tmp32 = tmp28 + tmp26;
2022-11-23T01:30:19.3291979Z                             float tmp33 = 0.0;
2022-11-23T01:30:19.3292048Z                             if(tmp6)
2022-11-23T01:30:19.3292112Z                             {
2022-11-23T01:30:19.3292238Z                                 auto tmp34 = static_cast<float>(1);
2022-11-23T01:30:19.3292318Z                                 tmp33 = tmp34;
2022-11-23T01:30:19.3292382Z                             }
2022-11-23T01:30:19.3292463Z                             float tmp35 = 0.0;
2022-11-23T01:30:19.3292537Z                             if(tmp13)
2022-11-23T01:30:19.3292599Z                             {
2022-11-23T01:30:19.3292702Z                                 auto tmp36 = static_cast<float>(1);
2022-11-23T01:30:19.3292773Z                                 tmp35 = tmp36;
2022-11-23T01:30:19.3292837Z                             }
2022-11-23T01:30:19.3292926Z                             auto tmp37 = tmp35 + tmp33;
2022-11-23T01:30:19.3293010Z                             float tmp38 = 0.0;
2022-11-23T01:30:19.3293121Z                             if(tmp21)
2022-11-23T01:30:19.3293187Z                             {
2022-11-23T01:30:19.3293287Z                                 auto tmp39 = static_cast<float>(1);
2022-11-23T01:30:19.3293359Z                                 tmp38 = tmp39;
2022-11-23T01:30:19.3293422Z                             }
2022-11-23T01:30:19.3293513Z                             auto tmp40 = tmp38 + tmp37;
2022-11-23T01:30:19.3293595Z                             float tmp41 = 0.0;
2022-11-23T01:30:19.3293668Z                             if(tmp27)
2022-11-23T01:30:19.3293735Z                             {
2022-11-23T01:30:19.3293838Z                                 auto tmp42 = static_cast<float>(1);
2022-11-23T01:30:19.3293908Z                                 tmp41 = tmp42;
2022-11-23T01:30:19.3293973Z                             }
2022-11-23T01:30:19.3294065Z                             auto tmp43 = tmp41 + tmp40;
2022-11-23T01:30:19.3294153Z                             auto tmp44 = tmp32 / tmp43;
2022-11-23T01:30:19.3294258Z                             out_ptr1[i2 + (5*i1) + (10*i0)] = tmp44;
2022-11-23T01:30:19.3294321Z                         }
2022-11-23T01:30:19.3294383Z                     }
2022-11-23T01:30:19.3294437Z                 }
2022-11-23T01:30:19.3294493Z             }
2022-11-23T01:30:19.3294550Z         }
2022-11-23T01:30:19.3294607Z     }
2022-11-23T01:30:19.3294660Z }
2022-11-23T01:30:19.3294762Z ''')
2022-11-23T01:30:19.3294769Z 
2022-11-23T01:30:19.3294773Z 
2022-11-23T01:30:19.3294858Z async_compile.wait(globals())
2022-11-23T01:30:19.3294917Z del async_compile
2022-11-23T01:30:19.3294922Z 
2022-11-23T01:30:19.3294988Z def call(args):
2022-11-23T01:30:19.3295053Z     arg0_1, = args
2022-11-23T01:30:19.3295121Z     args.clear()
2022-11-23T01:30:19.3295341Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3295549Z     buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3295714Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.3295778Z     del arg0_1
2022-11-23T01:30:19.3295842Z     return (buf0, buf1, )
2022-11-23T01:30:19.3295849Z 
2022-11-23T01:30:19.3295854Z 
2022-11-23T01:30:19.3295926Z if __name__ == "__main__":
2022-11-23T01:30:19.3296036Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3296155Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3296358Z     arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3296635Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3297009Z [2022-11-23 01:21:56,604] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cv/ccv76jv6gza6clytklrxepsvrmub3pyeb2rjwdwz4rcyhocyeoug.py
2022-11-23T01:30:19.3297266Z [2022-11-23 01:21:56,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 7
2022-11-23T01:30:19.3297493Z [2022-11-23 01:21:56,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3297898Z [2022-11-23 01:21:56,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3298114Z [2022-11-23 01:21:56,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3298360Z [2022-11-23 01:21:56,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3298632Z [2022-11-23 01:21:56,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3298947Z [2022-11-23 01:21:56,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3299289Z [2022-11-23 01:21:56,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3299650Z [2022-11-23 01:21:56,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3300025Z [2022-11-23 01:21:56,610] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d110f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:30:19.3300117Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3300217Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:30:19.3300303Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3300392Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:30:19.3300475Z                8 CALL_METHOD              2
2022-11-23T01:30:19.3300563Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3300668Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:30:19.3300676Z 
2022-11-23T01:30:19.3300762Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3300845Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3300906Z               18 BINARY_ADD
2022-11-23T01:30:19.3300991Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:30:19.3300996Z 
2022-11-23T01:30:19.3301079Z 1916          22 CALL_METHOD              2
2022-11-23T01:30:19.3301164Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.3301235Z               26 RETURN_VALUE
2022-11-23T01:30:19.3301294Z  
2022-11-23T01:30:19.3301299Z 
2022-11-23T01:30:19.3301608Z [2022-11-23 01:21:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:30:19.3301822Z [2022-11-23 01:21:56,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3302136Z [2022-11-23 01:21:56,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3302406Z [2022-11-23 01:21:56,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:30:19.3302709Z [2022-11-23 01:21:56,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3303053Z [2022-11-23 01:21:56,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.3303292Z [2022-11-23 01:21:56,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.3303644Z [2022-11-23 01:21:56,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3303954Z [2022-11-23 01:21:56,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1917
2022-11-23T01:30:19.3304277Z [2022-11-23 01:21:56,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:30:19.3304601Z [2022-11-23 01:21:56,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3304965Z [2022-11-23 01:21:56,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3305290Z [2022-11-23 01:21:56,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3305591Z [2022-11-23 01:21:56,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1916
2022-11-23T01:30:19.3305987Z [2022-11-23 01:21:56,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.3306250Z [2022-11-23 01:21:56,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3306493Z [2022-11-23 01:21:56,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3306866Z [2022-11-23 01:21:56,631] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d110f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1915>
2022-11-23T01:30:19.3307106Z [2022-11-23 01:21:56,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3307334Z [2022-11-23 01:21:56,631] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3307590Z [2022-11-23 01:21:56,633] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3307833Z [2022-11-23 01:21:56,636] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3308018Z [2022-11-23 01:21:56,636] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3308138Z  __compiled_fn_8 <eval_with_key>.65 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3308224Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3308366Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:30:19.3308531Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.3308672Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:30:19.3308812Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:30:19.3308820Z 
2022-11-23T01:30:19.3309146Z [2022-11-23 01:21:56,637] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3309233Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3309319Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3309394Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3309480Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3309563Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3309647Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3309717Z              12 RETURN_VALUE
2022-11-23T01:30:19.3309722Z 
2022-11-23T01:30:19.3309778Z  
2022-11-23T01:30:19.3310096Z [2022-11-23 01:21:56,637] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3310193Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_8)
2022-11-23T01:30:19.3310279Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3310390Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3310464Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3310546Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3310644Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3310740Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3310823Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3310887Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3310981Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3311062Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3311136Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.3311218Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.3311288Z              26 RETURN_VALUE
2022-11-23T01:30:19.3311333Z 
2022-11-23T01:30:19.3311390Z  
2022-11-23T01:30:19.3311562Z [2022-11-23 01:21:56,638] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3311628Z  - 
2022-11-23T01:30:19.3311745Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3311806Z             {
2022-11-23T01:30:19.3311940Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3312123Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3312238Z                 'obj_weakref': None
2022-11-23T01:30:19.3312448Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3312507Z             }
2022-11-23T01:30:19.3312566Z             
2022-11-23T01:30:19.3312629Z  - 
2022-11-23T01:30:19.3312751Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3312808Z             {
2022-11-23T01:30:19.3312947Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3313042Z                 'code': None,
2022-11-23T01:30:19.3313251Z                 'obj_weakref': <weakref at 0x7ff59c125300; to 'Tensor' at 0x7ff5a84935b0>
2022-11-23T01:30:19.3313501Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3313562Z             }
2022-11-23T01:30:19.3313623Z             
2022-11-23T01:30:19.3313689Z  - 
2022-11-23T01:30:19.3313895Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3313948Z             {
2022-11-23T01:30:19.3314079Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3314245Z                 'code': ['___check_obj_id(model, 140693065977136)'],
2022-11-23T01:30:19.3314362Z                 'obj_weakref': None
2022-11-23T01:30:19.3314584Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3314643Z             }
2022-11-23T01:30:19.3314702Z             
2022-11-23T01:30:19.3314757Z  - 
2022-11-23T01:30:19.3314879Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3314939Z             {
2022-11-23T01:30:19.3315071Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3315286Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3315398Z                 'obj_weakref': None
2022-11-23T01:30:19.3315615Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3315665Z             }
2022-11-23T01:30:19.3315724Z             
2022-11-23T01:30:19.3315787Z  - 
2022-11-23T01:30:19.3315910Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3315969Z             {
2022-11-23T01:30:19.3316085Z                 'guard_types': None,
2022-11-23T01:30:19.3316179Z                 'code': None,
2022-11-23T01:30:19.3316291Z                 'obj_weakref': None
2022-11-23T01:30:19.3316409Z                 'guarded_class': None
2022-11-23T01:30:19.3316469Z             }
2022-11-23T01:30:19.3316529Z             
2022-11-23T01:30:19.3316782Z [2022-11-23 01:21:56,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 8
2022-11-23T01:30:19.3316787Z 
2022-11-23T01:30:19.3316835Z 
2022-11-23T01:30:19.3316926Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3316991Z import torch
2022-11-23T01:30:19.3317048Z import random
2022-11-23T01:30:19.3317162Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3317281Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3317286Z 
2022-11-23T01:30:19.3317364Z aten = torch.ops.aten
2022-11-23T01:30:19.3317498Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3317586Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3317591Z 
2022-11-23T01:30:19.3317595Z 
2022-11-23T01:30:19.3317724Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3317931Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3318064Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3318162Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.3318255Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.3318311Z {
2022-11-23T01:30:19.3318406Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3318465Z     {
2022-11-23T01:30:19.3318538Z         #pragma omp for 
2022-11-23T01:30:19.3318608Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3318666Z         {
2022-11-23T01:30:19.3318741Z             #pragma GCC ivdep
2022-11-23T01:30:19.3318816Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.3318876Z             {
2022-11-23T01:30:19.3318955Z                 #pragma GCC ivdep
2022-11-23T01:30:19.3319041Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:30:19.3319093Z                 {
2022-11-23T01:30:19.3319157Z                     {
2022-11-23T01:30:19.3319222Z                         {
2022-11-23T01:30:19.3319329Z                             auto tmp0 = static_cast<long>(3*i1);
2022-11-23T01:30:19.3319437Z                             auto tmp1 = static_cast<long>(3 + (3*i1));
2022-11-23T01:30:19.3319528Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:19.3319634Z                             auto tmp3 = static_cast<long>(((6*i2) / 5));
2022-11-23T01:30:19.3319738Z                             auto tmp4 = static_cast<long>(2 + (((6*i2) / 5)));
2022-11-23T01:30:19.3319827Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:30:19.3319917Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:30:19.3320003Z                             float tmp7 = 0.0;
2022-11-23T01:30:19.3320074Z                             if(tmp6)
2022-11-23T01:30:19.3320140Z                             {
2022-11-23T01:30:19.3320253Z                                 auto tmp8 = in_ptr0[(18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:30:19.3320350Z                                 auto tmp9 = static_cast<float>(1);
2022-11-23T01:30:19.3320446Z                                 auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:19.3320528Z                                 tmp7 = tmp10;
2022-11-23T01:30:19.3320597Z                             }
2022-11-23T01:30:19.3320713Z                             auto tmp11 = static_cast<long>(1 + (((6*i2) / 5)));
2022-11-23T01:30:19.3320806Z                             auto tmp12 = tmp11 < tmp4;
2022-11-23T01:30:19.3320898Z                             auto tmp13 = tmp2 & tmp12;
2022-11-23T01:30:19.3320984Z                             float tmp14 = 0.0;
2022-11-23T01:30:19.3321048Z                             if(tmp13)
2022-11-23T01:30:19.3321113Z                             {
2022-11-23T01:30:19.3321233Z                                 auto tmp15 = in_ptr0[1 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:30:19.3321339Z                                 auto tmp16 = static_cast<float>(1);
2022-11-23T01:30:19.3321435Z                                 auto tmp17 = tmp15 + tmp16;
2022-11-23T01:30:19.3321520Z                                 tmp14 = tmp17;
2022-11-23T01:30:19.3321587Z                             }
2022-11-23T01:30:19.3321697Z                             auto tmp18 = tmp14 + tmp7;
2022-11-23T01:30:19.3321807Z                             auto tmp19 = static_cast<long>(1 + (3*i1));
2022-11-23T01:30:19.3321901Z                             auto tmp20 = tmp19 < tmp1;
2022-11-23T01:30:19.3321994Z                             auto tmp21 = tmp20 & tmp5;
2022-11-23T01:30:19.3322079Z                             float tmp22 = 0.0;
2022-11-23T01:30:19.3322152Z                             if(tmp21)
2022-11-23T01:30:19.3322218Z                             {
2022-11-23T01:30:19.3322324Z                                 auto tmp23 = in_ptr0[6 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:30:19.3322429Z                                 auto tmp24 = static_cast<float>(1);
2022-11-23T01:30:19.3322525Z                                 auto tmp25 = tmp23 + tmp24;
2022-11-23T01:30:19.3322637Z                                 tmp22 = tmp25;
2022-11-23T01:30:19.3322703Z                             }
2022-11-23T01:30:19.3322795Z                             auto tmp26 = tmp22 + tmp18;
2022-11-23T01:30:19.3322887Z                             auto tmp27 = tmp20 & tmp12;
2022-11-23T01:30:19.3322970Z                             float tmp28 = 0.0;
2022-11-23T01:30:19.3323034Z                             if(tmp27)
2022-11-23T01:30:19.3323097Z                             {
2022-11-23T01:30:19.3323211Z                                 auto tmp29 = in_ptr0[7 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:30:19.3323315Z                                 auto tmp30 = static_cast<float>(1);
2022-11-23T01:30:19.3323409Z                                 auto tmp31 = tmp29 + tmp30;
2022-11-23T01:30:19.3323491Z                                 tmp28 = tmp31;
2022-11-23T01:30:19.3323558Z                             }
2022-11-23T01:30:19.3323641Z                             auto tmp32 = tmp28 + tmp26;
2022-11-23T01:30:19.3323750Z                             auto tmp33 = static_cast<long>(2 + (3*i1));
2022-11-23T01:30:19.3323841Z                             auto tmp34 = tmp33 < tmp1;
2022-11-23T01:30:19.3323935Z                             auto tmp35 = tmp34 & tmp5;
2022-11-23T01:30:19.3324019Z                             float tmp36 = 0.0;
2022-11-23T01:30:19.3324094Z                             if(tmp35)
2022-11-23T01:30:19.3324159Z                             {
2022-11-23T01:30:19.3324264Z                                 auto tmp37 = in_ptr0[12 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:30:19.3324366Z                                 auto tmp38 = static_cast<float>(1);
2022-11-23T01:30:19.3324460Z                                 auto tmp39 = tmp37 + tmp38;
2022-11-23T01:30:19.3324542Z                                 tmp36 = tmp39;
2022-11-23T01:30:19.3324609Z                             }
2022-11-23T01:30:19.3324700Z                             auto tmp40 = tmp36 + tmp32;
2022-11-23T01:30:19.3324794Z                             auto tmp41 = tmp34 & tmp12;
2022-11-23T01:30:19.3324878Z                             float tmp42 = 0.0;
2022-11-23T01:30:19.3324942Z                             if(tmp41)
2022-11-23T01:30:19.3325007Z                             {
2022-11-23T01:30:19.3325119Z                                 auto tmp43 = in_ptr0[13 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:30:19.3325225Z                                 auto tmp44 = static_cast<float>(1);
2022-11-23T01:30:19.3325318Z                                 auto tmp45 = tmp43 + tmp44;
2022-11-23T01:30:19.3325396Z                                 tmp42 = tmp45;
2022-11-23T01:30:19.3325461Z                             }
2022-11-23T01:30:19.3325543Z                             auto tmp46 = tmp42 + tmp40;
2022-11-23T01:30:19.3325635Z                             auto tmp47 = tmp1 < tmp1;
2022-11-23T01:30:19.3325723Z                             auto tmp48 = tmp47 & tmp5;
2022-11-23T01:30:19.3325807Z                             float tmp49 = 0.0;
2022-11-23T01:30:19.3325881Z                             if(tmp48)
2022-11-23T01:30:19.3325950Z                             {
2022-11-23T01:30:19.3326097Z                                 auto tmp50 = in_ptr0[18 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:30:19.3326204Z                                 auto tmp51 = static_cast<float>(1);
2022-11-23T01:30:19.3326289Z                                 auto tmp52 = tmp50 + tmp51;
2022-11-23T01:30:19.3326368Z                                 tmp49 = tmp52;
2022-11-23T01:30:19.3326432Z                             }
2022-11-23T01:30:19.3326522Z                             auto tmp53 = tmp49 + tmp46;
2022-11-23T01:30:19.3326611Z                             auto tmp54 = tmp47 & tmp12;
2022-11-23T01:30:19.3326695Z                             float tmp55 = 0.0;
2022-11-23T01:30:19.3326767Z                             if(tmp54)
2022-11-23T01:30:19.3326824Z                             {
2022-11-23T01:30:19.3326933Z                                 auto tmp56 = in_ptr0[19 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:30:19.3327068Z                                 auto tmp57 = static_cast<float>(1);
2022-11-23T01:30:19.3327165Z                                 auto tmp58 = tmp56 + tmp57;
2022-11-23T01:30:19.3327244Z                                 tmp55 = tmp58;
2022-11-23T01:30:19.3327308Z                             }
2022-11-23T01:30:19.3327399Z                             auto tmp59 = tmp55 + tmp53;
2022-11-23T01:30:19.3327473Z                             float tmp60 = 0.0;
2022-11-23T01:30:19.3327544Z                             if(tmp6)
2022-11-23T01:30:19.3327609Z                             {
2022-11-23T01:30:19.3327717Z                                 auto tmp61 = static_cast<float>(1);
2022-11-23T01:30:19.3327797Z                                 tmp60 = tmp61;
2022-11-23T01:30:19.3327861Z                             }
2022-11-23T01:30:19.3327944Z                             float tmp62 = 0.0;
2022-11-23T01:30:19.3328007Z                             if(tmp13)
2022-11-23T01:30:19.3328073Z                             {
2022-11-23T01:30:19.3328178Z                                 auto tmp63 = static_cast<float>(1);
2022-11-23T01:30:19.3328260Z                                 tmp62 = tmp63;
2022-11-23T01:30:19.3328328Z                             }
2022-11-23T01:30:19.3328421Z                             auto tmp64 = tmp62 + tmp60;
2022-11-23T01:30:19.3328505Z                             float tmp65 = 0.0;
2022-11-23T01:30:19.3328569Z                             if(tmp21)
2022-11-23T01:30:19.3328634Z                             {
2022-11-23T01:30:19.3328739Z                                 auto tmp66 = static_cast<float>(1);
2022-11-23T01:30:19.3328819Z                                 tmp65 = tmp66;
2022-11-23T01:30:19.3328881Z                             }
2022-11-23T01:30:19.3328972Z                             auto tmp67 = tmp65 + tmp64;
2022-11-23T01:30:19.3329055Z                             float tmp68 = 0.0;
2022-11-23T01:30:19.3329124Z                             if(tmp27)
2022-11-23T01:30:19.3329183Z                             {
2022-11-23T01:30:19.3329288Z                                 auto tmp69 = static_cast<float>(1);
2022-11-23T01:30:19.3329368Z                                 tmp68 = tmp69;
2022-11-23T01:30:19.3329433Z                             }
2022-11-23T01:30:19.3329522Z                             auto tmp70 = tmp68 + tmp67;
2022-11-23T01:30:19.3329603Z                             float tmp71 = 0.0;
2022-11-23T01:30:19.3329672Z                             if(tmp35)
2022-11-23T01:30:19.3329729Z                             {
2022-11-23T01:30:19.3329830Z                                 auto tmp72 = static_cast<float>(1);
2022-11-23T01:30:19.3329910Z                                 tmp71 = tmp72;
2022-11-23T01:30:19.3329977Z                             }
2022-11-23T01:30:19.3330068Z                             auto tmp73 = tmp71 + tmp70;
2022-11-23T01:30:19.3330153Z                             float tmp74 = 0.0;
2022-11-23T01:30:19.3330228Z                             if(tmp41)
2022-11-23T01:30:19.3330284Z                             {
2022-11-23T01:30:19.3330385Z                                 auto tmp75 = static_cast<float>(1);
2022-11-23T01:30:19.3330492Z                                 tmp74 = tmp75;
2022-11-23T01:30:19.3330556Z                             }
2022-11-23T01:30:19.3330648Z                             auto tmp76 = tmp74 + tmp73;
2022-11-23T01:30:19.3330730Z                             float tmp77 = 0.0;
2022-11-23T01:30:19.3330800Z                             if(tmp48)
2022-11-23T01:30:19.3330856Z                             {
2022-11-23T01:30:19.3330959Z                                 auto tmp78 = static_cast<float>(1);
2022-11-23T01:30:19.3331038Z                                 tmp77 = tmp78;
2022-11-23T01:30:19.3331104Z                             }
2022-11-23T01:30:19.3331195Z                             auto tmp79 = tmp77 + tmp76;
2022-11-23T01:30:19.3331278Z                             float tmp80 = 0.0;
2022-11-23T01:30:19.3331379Z                             if(tmp54)
2022-11-23T01:30:19.3331436Z                             {
2022-11-23T01:30:19.3331538Z                                 auto tmp81 = static_cast<float>(1);
2022-11-23T01:30:19.3331621Z                                 tmp80 = tmp81;
2022-11-23T01:30:19.3331688Z                             }
2022-11-23T01:30:19.3331779Z                             auto tmp82 = tmp80 + tmp79;
2022-11-23T01:30:19.3331867Z                             auto tmp83 = tmp59 / tmp82;
2022-11-23T01:30:19.3331969Z                             out_ptr0[i2 + (5*i1) + (10*i0)] = tmp83;
2022-11-23T01:30:19.3332025Z                         }
2022-11-23T01:30:19.3332089Z                     }
2022-11-23T01:30:19.3332150Z                 }
2022-11-23T01:30:19.3332211Z             }
2022-11-23T01:30:19.3332271Z         }
2022-11-23T01:30:19.3332342Z         #pragma omp for 
2022-11-23T01:30:19.3332418Z         for(long i0=0; i0<36; i0+=1)
2022-11-23T01:30:19.3332468Z         {
2022-11-23T01:30:19.3332619Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.3332708Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.3332765Z         }
2022-11-23T01:30:19.3332857Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3332935Z         for(long i0=288; i0<288; i0+=1)
2022-11-23T01:30:19.3332994Z         {
2022-11-23T01:30:19.3333065Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3333142Z             out_ptr1[i0] = tmp0;
2022-11-23T01:30:19.3333200Z         }
2022-11-23T01:30:19.3333253Z     }
2022-11-23T01:30:19.3333308Z }
2022-11-23T01:30:19.3333396Z ''')
2022-11-23T01:30:19.3333402Z 
2022-11-23T01:30:19.3333407Z 
2022-11-23T01:30:19.3333492Z async_compile.wait(globals())
2022-11-23T01:30:19.3333552Z del async_compile
2022-11-23T01:30:19.3333557Z 
2022-11-23T01:30:19.3333622Z def call(args):
2022-11-23T01:30:19.3333687Z     arg0_1, = args
2022-11-23T01:30:19.3333754Z     args.clear()
2022-11-23T01:30:19.3333965Z     buf0 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3334177Z     buf1 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3334341Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.3334397Z     del arg0_1
2022-11-23T01:30:19.3334469Z     return (buf1, buf0, )
2022-11-23T01:30:19.3334475Z 
2022-11-23T01:30:19.3334479Z 
2022-11-23T01:30:19.3334552Z if __name__ == "__main__":
2022-11-23T01:30:19.3334665Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3334783Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3334991Z     arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3335095Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3335459Z [2022-11-23 01:21:58,384] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chdam3zd4abxj44tfqrglv6o64d74plhmrlwzanrtle5ecrqioto.py
2022-11-23T01:30:19.3335717Z [2022-11-23 01:21:58,384] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 8
2022-11-23T01:30:19.3335753Z 
2022-11-23T01:30:19.3335809Z ok (5.350s)
2022-11-23T01:30:19.3336130Z   test_adaptive_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:21:58,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3336580Z [2022-11-23 01:21:58,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3336795Z [2022-11-23 01:21:58,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3337046Z [2022-11-23 01:21:58,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3337319Z [2022-11-23 01:21:58,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3337693Z [2022-11-23 01:21:58,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3338035Z [2022-11-23 01:21:58,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3338358Z [2022-11-23 01:21:58,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3338729Z [2022-11-23 01:21:58,390] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1110b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1940> 
2022-11-23T01:30:19.3338811Z  1941           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3338917Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:30:19.3339002Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3339093Z                6 LOAD_CONST               1 ((4, 4))
2022-11-23T01:30:19.3339183Z                8 CALL_METHOD              2
2022-11-23T01:30:19.3339257Z               10 RETURN_VALUE
2022-11-23T01:30:19.3339316Z  
2022-11-23T01:30:19.3339322Z 
2022-11-23T01:30:19.3339632Z [2022-11-23 01:21:58,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1941
2022-11-23T01:30:19.3339835Z [2022-11-23 01:21:58,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3340161Z [2022-11-23 01:21:58,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3340430Z [2022-11-23 01:21:58,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:30:19.3340734Z [2022-11-23 01:21:58,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 4) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3341081Z [2022-11-23 01:21:58,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.3341324Z [2022-11-23 01:21:58,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3341700Z [2022-11-23 01:21:58,397] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1110b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1940>
2022-11-23T01:30:19.3341941Z [2022-11-23 01:21:58,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3342170Z [2022-11-23 01:21:58,397] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3342420Z [2022-11-23 01:21:58,398] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3342692Z [2022-11-23 01:21:58,400] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3342883Z [2022-11-23 01:21:58,401] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3343014Z  __compiled_fn_9 <eval_with_key>.71 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3343098Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3343241Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (4, 4)), {}
2022-11-23T01:30:19.3343355Z output, output, output, ((_adaptive_avg_pool2d,),), {}
2022-11-23T01:30:19.3343360Z 
2022-11-23T01:30:19.3343679Z [2022-11-23 01:21:58,401] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3343771Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3343858Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3343959Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3344046Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3344130Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3344215Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3344287Z              12 RETURN_VALUE
2022-11-23T01:30:19.3344292Z 
2022-11-23T01:30:19.3344349Z  
2022-11-23T01:30:19.3344670Z [2022-11-23 01:21:58,401] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3344764Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_9)
2022-11-23T01:30:19.3344850Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3344936Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3345012Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3345095Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3345185Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.3345255Z              12 RETURN_VALUE
2022-11-23T01:30:19.3345259Z 
2022-11-23T01:30:19.3345315Z  
2022-11-23T01:30:19.3345485Z [2022-11-23 01:21:58,402] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3345552Z  - 
2022-11-23T01:30:19.3345666Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3345726Z             {
2022-11-23T01:30:19.3345862Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3346046Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3346164Z                 'obj_weakref': None
2022-11-23T01:30:19.3346375Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3346435Z             }
2022-11-23T01:30:19.3346494Z             
2022-11-23T01:30:19.3346558Z  - 
2022-11-23T01:30:19.3346675Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3346735Z             {
2022-11-23T01:30:19.3346864Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3346967Z                 'code': None,
2022-11-23T01:30:19.3347178Z                 'obj_weakref': <weakref at 0x7ff5a86e1a30; to 'Tensor' at 0x7ff5a841c770>
2022-11-23T01:30:19.3347427Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3347486Z             }
2022-11-23T01:30:19.3347547Z             
2022-11-23T01:30:19.3347613Z  - 
2022-11-23T01:30:19.3347736Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3347786Z             {
2022-11-23T01:30:19.3347915Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3348077Z                 'code': ['___check_obj_id(model, 140693062683232)'],
2022-11-23T01:30:19.3348190Z                 'obj_weakref': None
2022-11-23T01:30:19.3348413Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3348473Z             }
2022-11-23T01:30:19.3348531Z             
2022-11-23T01:30:19.3348586Z  - 
2022-11-23T01:30:19.3348702Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3348761Z             {
2022-11-23T01:30:19.3348922Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3349138Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3349252Z                 'obj_weakref': None
2022-11-23T01:30:19.3349469Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3349520Z             }
2022-11-23T01:30:19.3349578Z             
2022-11-23T01:30:19.3349644Z  - 
2022-11-23T01:30:19.3349773Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3349832Z             {
2022-11-23T01:30:19.3349948Z                 'guard_types': None,
2022-11-23T01:30:19.3350041Z                 'code': None,
2022-11-23T01:30:19.3350155Z                 'obj_weakref': None
2022-11-23T01:30:19.3350320Z                 'guarded_class': None
2022-11-23T01:30:19.3350380Z             }
2022-11-23T01:30:19.3350441Z             
2022-11-23T01:30:19.3350696Z [2022-11-23 01:21:58,406] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 9
2022-11-23T01:30:19.3350935Z [2022-11-23 01:21:58,407] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T01:30:19.3351289Z [2022-11-23 01:21:58,409] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4sf74dyl7kpt6x4hawiicof5w4s36wvhwsoqd24mk7oi7ecao3p.py
2022-11-23T01:30:19.3351536Z [2022-11-23 01:21:58,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 9
2022-11-23T01:30:19.3351552Z 
2022-11-23T01:30:19.3351633Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3351697Z import torch
2022-11-23T01:30:19.3351762Z import random
2022-11-23T01:30:19.3351872Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3351993Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3351999Z 
2022-11-23T01:30:19.3352074Z aten = torch.ops.aten
2022-11-23T01:30:19.3352209Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3352288Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3352294Z 
2022-11-23T01:30:19.3352298Z 
2022-11-23T01:30:19.3352382Z async_compile.wait(globals())
2022-11-23T01:30:19.3352450Z del async_compile
2022-11-23T01:30:19.3352455Z 
2022-11-23T01:30:19.3352521Z def call(args):
2022-11-23T01:30:19.3352587Z     arg0_1, = args
2022-11-23T01:30:19.3352655Z     args.clear()
2022-11-23T01:30:19.3352763Z     buf0 = aten._adaptive_avg_pool2d(arg0_1, [4, 4])
2022-11-23T01:30:19.3352818Z     del arg0_1
2022-11-23T01:30:19.3352887Z     buf1 = buf0
2022-11-23T01:30:19.3352987Z     assert_size_stride(buf1, (2, 4, 4, 4), (64, 16, 4, 1))
2022-11-23T01:30:19.3353048Z     del buf0
2022-11-23T01:30:19.3353114Z     return (buf1, )
2022-11-23T01:30:19.3353119Z 
2022-11-23T01:30:19.3353125Z 
2022-11-23T01:30:19.3353198Z if __name__ == "__main__":
2022-11-23T01:30:19.3353308Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3353430Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3353638Z     arg0_1 = rand_strided((2, 4, 21, 21), (1764, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3353743Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3353748Z 
2022-11-23T01:30:19.3353906Z ok (0.025s)
2022-11-23T01:30:19.3354233Z   test_add_const_float_cpu (__main__.CpuTests) ... [2022-11-23 01:21:58,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3354546Z [2022-11-23 01:21:58,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3354758Z [2022-11-23 01:21:58,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3355010Z [2022-11-23 01:21:58,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3355317Z [2022-11-23 01:21:58,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3355635Z [2022-11-23 01:21:58,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3355966Z [2022-11-23 01:21:58,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3356284Z [2022-11-23 01:21:58,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3356650Z [2022-11-23 01:21:58,414] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d198710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649> 
2022-11-23T01:30:19.3356773Z  650           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.3356860Z               2 LOAD_CONST               1 (1.5)
2022-11-23T01:30:19.3356935Z               4 BINARY_ADD
2022-11-23T01:30:19.3357019Z               6 BUILD_TUPLE              1
2022-11-23T01:30:19.3357094Z               8 RETURN_VALUE
2022-11-23T01:30:19.3357142Z  
2022-11-23T01:30:19.3357158Z 
2022-11-23T01:30:19.3357455Z [2022-11-23 01:21:58,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:650
2022-11-23T01:30:19.3357660Z [2022-11-23 01:21:58,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.3357896Z [2022-11-23 01:21:58,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.5 [TensorVariable()]
2022-11-23T01:30:19.3358173Z [2022-11-23 01:21:58,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.3358411Z [2022-11-23 01:21:58,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.3358654Z [2022-11-23 01:21:58,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3359024Z [2022-11-23 01:21:58,415] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d198710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 649>
2022-11-23T01:30:19.3359266Z [2022-11-23 01:21:58,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3359494Z [2022-11-23 01:21:58,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3359732Z [2022-11-23 01:21:58,416] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3359979Z [2022-11-23 01:21:58,418] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3360163Z [2022-11-23 01:21:58,418] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3360295Z  __compiled_fn_10 <eval_with_key>.77 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3360382Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3360553Z call_function, add, <built-in function add>, (ex_0_, 1.5), {}
2022-11-23T01:30:19.3360641Z output, output, output, ((add,),), {}
2022-11-23T01:30:19.3360647Z 
2022-11-23T01:30:19.3360968Z [2022-11-23 01:21:58,419] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3361057Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3361136Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3361220Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3361308Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3361393Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3361477Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3361551Z              12 RETURN_VALUE
2022-11-23T01:30:19.3361556Z 
2022-11-23T01:30:19.3361612Z  
2022-11-23T01:30:19.3361950Z [2022-11-23 01:21:58,419] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3362054Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_10)
2022-11-23T01:30:19.3362139Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3362225Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3362299Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3362380Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3362477Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3362564Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3362647Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3362752Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3362836Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.3362907Z              20 RETURN_VALUE
2022-11-23T01:30:19.3362914Z 
2022-11-23T01:30:19.3362971Z  
2022-11-23T01:30:19.3363148Z [2022-11-23 01:21:58,419] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3363215Z  - 
2022-11-23T01:30:19.3363321Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3363384Z             {
2022-11-23T01:30:19.3363519Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3363701Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3363816Z                 'obj_weakref': None
2022-11-23T01:30:19.3364036Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3364097Z             }
2022-11-23T01:30:19.3364148Z             
2022-11-23T01:30:19.3364217Z  - 
2022-11-23T01:30:19.3364335Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3364398Z             {
2022-11-23T01:30:19.3364541Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3364642Z                 'code': None,
2022-11-23T01:30:19.3364855Z                 'obj_weakref': <weakref at 0x7ff5a8070c20; to 'Tensor' at 0x7ff5a86e0e50>
2022-11-23T01:30:19.3365096Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3365155Z             }
2022-11-23T01:30:19.3365220Z             
2022-11-23T01:30:19.3365282Z  - 
2022-11-23T01:30:19.3365406Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3365464Z             {
2022-11-23T01:30:19.3365594Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3365751Z                 'code': ['___check_obj_id(model, 140693062680784)'],
2022-11-23T01:30:19.3365866Z                 'obj_weakref': None
2022-11-23T01:30:19.3366093Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3366155Z             }
2022-11-23T01:30:19.3366213Z             
2022-11-23T01:30:19.3366279Z  - 
2022-11-23T01:30:19.3366398Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3366449Z             {
2022-11-23T01:30:19.3366583Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3366797Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3366911Z                 'obj_weakref': None
2022-11-23T01:30:19.3367129Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3367185Z             }
2022-11-23T01:30:19.3367246Z             
2022-11-23T01:30:19.3367490Z [2022-11-23 01:21:58,423] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 10
2022-11-23T01:30:19.3367851Z [2022-11-23 01:21:59,879] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/35/c35g2ve6leexcgnzjwcwpa3gjtfsde6iazgq3e2t6mae6bmtmk3k.py
2022-11-23T01:30:19.3368111Z [2022-11-23 01:21:59,879] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 10
2022-11-23T01:30:19.3368147Z 
2022-11-23T01:30:19.3368241Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3368306Z import torch
2022-11-23T01:30:19.3368374Z import random
2022-11-23T01:30:19.3368483Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3368601Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3368606Z 
2022-11-23T01:30:19.3368671Z aten = torch.ops.aten
2022-11-23T01:30:19.3368799Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3368888Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3368893Z 
2022-11-23T01:30:19.3368898Z 
2022-11-23T01:30:19.3369026Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3369229Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3369372Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3369468Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.3369531Z {
2022-11-23T01:30:19.3369620Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3369678Z     {
2022-11-23T01:30:19.3369751Z         #pragma omp for 
2022-11-23T01:30:19.3369832Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.3369891Z         {
2022-11-23T01:30:19.3370030Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.3370162Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.5));
2022-11-23T01:30:19.3370235Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3370324Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.3370386Z         }
2022-11-23T01:30:19.3370477Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3370559Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:19.3370617Z         {
2022-11-23T01:30:19.3370700Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3370789Z             auto tmp1 = static_cast<float>(1.5);
2022-11-23T01:30:19.3370871Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3370952Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.3371013Z         }
2022-11-23T01:30:19.3371073Z     }
2022-11-23T01:30:19.3371132Z }
2022-11-23T01:30:19.3371197Z ''')
2022-11-23T01:30:19.3371214Z 
2022-11-23T01:30:19.3371218Z 
2022-11-23T01:30:19.3371293Z async_compile.wait(globals())
2022-11-23T01:30:19.3371365Z del async_compile
2022-11-23T01:30:19.3371369Z 
2022-11-23T01:30:19.3371439Z def call(args):
2022-11-23T01:30:19.3371503Z     arg0_1, = args
2022-11-23T01:30:19.3371574Z     args.clear()
2022-11-23T01:30:19.3371764Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3371893Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.3371949Z     del arg0_1
2022-11-23T01:30:19.3372023Z     return (buf0, )
2022-11-23T01:30:19.3372028Z 
2022-11-23T01:30:19.3372032Z 
2022-11-23T01:30:19.3372105Z if __name__ == "__main__":
2022-11-23T01:30:19.3372221Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3372336Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3372528Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3372630Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3372635Z 
2022-11-23T01:30:19.3372700Z ok (1.469s)
2022-11-23T01:30:19.3373001Z   test_add_const_int_cpu (__main__.CpuTests) ... [2022-11-23 01:21:59,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3373316Z [2022-11-23 01:21:59,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3373531Z [2022-11-23 01:21:59,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3373783Z [2022-11-23 01:21:59,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3374087Z [2022-11-23 01:21:59,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3374406Z [2022-11-23 01:21:59,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3374749Z [2022-11-23 01:21:59,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3375071Z [2022-11-23 01:21:59,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3375439Z [2022-11-23 01:21:59,884] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1985b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643> 
2022-11-23T01:30:19.3375561Z  644           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.3375643Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:19.3375713Z               4 BINARY_ADD
2022-11-23T01:30:19.3375800Z               6 BUILD_TUPLE              1
2022-11-23T01:30:19.3375873Z               8 RETURN_VALUE
2022-11-23T01:30:19.3375937Z  
2022-11-23T01:30:19.3375942Z 
2022-11-23T01:30:19.3376254Z [2022-11-23 01:21:59,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:644
2022-11-23T01:30:19.3376616Z [2022-11-23 01:21:59,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.3376891Z [2022-11-23 01:21:59,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.3377158Z [2022-11-23 01:21:59,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3377401Z [2022-11-23 01:21:59,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.3377644Z [2022-11-23 01:21:59,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3378018Z [2022-11-23 01:21:59,885] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1985b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 643>
2022-11-23T01:30:19.3378259Z [2022-11-23 01:21:59,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3378494Z [2022-11-23 01:21:59,885] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3378745Z [2022-11-23 01:21:59,886] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3378996Z [2022-11-23 01:21:59,889] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3379184Z [2022-11-23 01:21:59,889] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3379320Z  __compiled_fn_11 <eval_with_key>.83 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3379397Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3379568Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.3379662Z output, output, output, ((add,),), {}
2022-11-23T01:30:19.3379668Z 
2022-11-23T01:30:19.3379992Z [2022-11-23 01:21:59,890] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3380086Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3380173Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3380260Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3380339Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3380423Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3380510Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3380584Z              12 RETURN_VALUE
2022-11-23T01:30:19.3380588Z 
2022-11-23T01:30:19.3380714Z  
2022-11-23T01:30:19.3381035Z [2022-11-23 01:21:59,890] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3381141Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_11)
2022-11-23T01:30:19.3381228Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3381304Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3381377Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3381464Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3381564Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3381663Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3381748Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3381868Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3381942Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.3382018Z              20 RETURN_VALUE
2022-11-23T01:30:19.3382023Z 
2022-11-23T01:30:19.3382084Z  
2022-11-23T01:30:19.3382264Z [2022-11-23 01:21:59,890] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3382333Z  - 
2022-11-23T01:30:19.3382452Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3382516Z             {
2022-11-23T01:30:19.3382644Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3382829Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3382949Z                 'obj_weakref': None
2022-11-23T01:30:19.3383174Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3383239Z             }
2022-11-23T01:30:19.3383303Z             
2022-11-23T01:30:19.3383370Z  - 
2022-11-23T01:30:19.3383482Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3383543Z             {
2022-11-23T01:30:19.3383680Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3383790Z                 'code': None,
2022-11-23T01:30:19.3383999Z                 'obj_weakref': <weakref at 0x7ff5a87a3ce0; to 'Tensor' at 0x7ff61dc1dee0>
2022-11-23T01:30:19.3384246Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3384308Z             }
2022-11-23T01:30:19.3384366Z             
2022-11-23T01:30:19.3384422Z  - 
2022-11-23T01:30:19.3384549Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3384608Z             {
2022-11-23T01:30:19.3384739Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3384909Z                 'code': ['___check_obj_id(model, 140693063916496)'],
2022-11-23T01:30:19.3385023Z                 'obj_weakref': None
2022-11-23T01:30:19.3385236Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3385299Z             }
2022-11-23T01:30:19.3385360Z             
2022-11-23T01:30:19.3385424Z  - 
2022-11-23T01:30:19.3385546Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3385608Z             {
2022-11-23T01:30:19.3385742Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3385942Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3386055Z                 'obj_weakref': None
2022-11-23T01:30:19.3386267Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3386327Z             }
2022-11-23T01:30:19.3386387Z             
2022-11-23T01:30:19.3386640Z [2022-11-23 01:21:59,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 11
2022-11-23T01:30:19.3386997Z [2022-11-23 01:22:01,311] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctu6l26jzsbb4h6ydx4yetx7owyv6pm6774xje5aonfijmcengwy.py
2022-11-23T01:30:19.3387285Z [2022-11-23 01:22:01,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 11
2022-11-23T01:30:19.3387291Z 
2022-11-23T01:30:19.3387382Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3387439Z import torch
2022-11-23T01:30:19.3387505Z import random
2022-11-23T01:30:19.3387616Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3387733Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3387738Z 
2022-11-23T01:30:19.3387813Z aten = torch.ops.aten
2022-11-23T01:30:19.3387944Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3388035Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3388040Z 
2022-11-23T01:30:19.3388044Z 
2022-11-23T01:30:19.3388165Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3388372Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3388561Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3388657Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.3388716Z {
2022-11-23T01:30:19.3388810Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3388872Z     {
2022-11-23T01:30:19.3388936Z         #pragma omp for 
2022-11-23T01:30:19.3389017Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.3389077Z         {
2022-11-23T01:30:19.3389214Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.3389349Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.3389441Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3389532Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.3389596Z         }
2022-11-23T01:30:19.3389676Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3389759Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:19.3389825Z         {
2022-11-23T01:30:19.3389908Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3390008Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.3390094Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3390174Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.3390226Z         }
2022-11-23T01:30:19.3390288Z     }
2022-11-23T01:30:19.3390349Z }
2022-11-23T01:30:19.3390428Z ''')
2022-11-23T01:30:19.3390433Z 
2022-11-23T01:30:19.3390437Z 
2022-11-23T01:30:19.3390526Z async_compile.wait(globals())
2022-11-23T01:30:19.3390601Z del async_compile
2022-11-23T01:30:19.3390606Z 
2022-11-23T01:30:19.3390677Z def call(args):
2022-11-23T01:30:19.3390734Z     arg0_1, = args
2022-11-23T01:30:19.3390805Z     args.clear()
2022-11-23T01:30:19.3391000Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3391132Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.3391201Z     del arg0_1
2022-11-23T01:30:19.3391276Z     return (buf0, )
2022-11-23T01:30:19.3391281Z 
2022-11-23T01:30:19.3391285Z 
2022-11-23T01:30:19.3391362Z if __name__ == "__main__":
2022-11-23T01:30:19.3391465Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3391588Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3391784Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3391892Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3391896Z 
2022-11-23T01:30:19.3391965Z ok (1.432s)
2022-11-23T01:30:19.3392294Z   test_add_inplace_permuted_cpu (__main__.CpuTests) ... [2022-11-23 01:22:01,317] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3392607Z [2022-11-23 01:22:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3392826Z [2022-11-23 01:22:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3393088Z [2022-11-23 01:22:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3393515Z [2022-11-23 01:22:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3394047Z [2022-11-23 01:22:01,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3394680Z [2022-11-23 01:22:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3395011Z [2022-11-23 01:22:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3395384Z [2022-11-23 01:22:01,318] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d198870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655> 
2022-11-23T01:30:19.3395534Z  656           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3395630Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:30:19.3395721Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.3395811Z               6 CALL_METHOD              1
2022-11-23T01:30:19.3395874Z               8 RETURN_VALUE
2022-11-23T01:30:19.3395935Z  
2022-11-23T01:30:19.3395940Z 
2022-11-23T01:30:19.3396260Z [2022-11-23 01:22:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:656
2022-11-23T01:30:19.3396468Z [2022-11-23 01:22:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.3396711Z [2022-11-23 01:22:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:30:19.3396984Z [2022-11-23 01:22:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:30:19.3397296Z [2022-11-23 01:22:01,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:30:19.3397540Z [2022-11-23 01:22:01,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3397916Z [2022-11-23 01:22:01,319] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d198870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 655>
2022-11-23T01:30:19.3398163Z [2022-11-23 01:22:01,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3398386Z [2022-11-23 01:22:01,319] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3398639Z [2022-11-23 01:22:01,320] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3398938Z [2022-11-23 01:22:01,322] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:30:19.3399201Z [2022-11-23 01:22:01,322] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:30:19.3399447Z [2022-11-23 01:22:01,322] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3399634Z [2022-11-23 01:22:01,323] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3399766Z  __compiled_fn_12 <eval_with_key>.86 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3399854Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3399927Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.3400026Z call_method, add_, add_, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.3400120Z output, output, output, ((add_,),), {}
2022-11-23T01:30:19.3400126Z 
2022-11-23T01:30:19.3400605Z [2022-11-23 01:22:01,323] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3400737Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3400895Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3400970Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3401094Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3401210Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3401329Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3401447Z              12 RETURN_VALUE
2022-11-23T01:30:19.3401452Z 
2022-11-23T01:30:19.3401543Z  
2022-11-23T01:30:19.3401923Z [2022-11-23 01:22:01,323] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3402063Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_12)
2022-11-23T01:30:19.3402141Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3402290Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3402396Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3402526Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3402679Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3402783Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.3402902Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.3402980Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.3403104Z              18 RETURN_VALUE
2022-11-23T01:30:19.3403110Z 
2022-11-23T01:30:19.3403202Z  
2022-11-23T01:30:19.3403418Z [2022-11-23 01:22:01,324] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3403527Z  - 
2022-11-23T01:30:19.3403675Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3403766Z             {
2022-11-23T01:30:19.3403896Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3404109Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.3404259Z                 'obj_weakref': None
2022-11-23T01:30:19.3404535Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3404630Z             }
2022-11-23T01:30:19.3404730Z             
2022-11-23T01:30:19.3404829Z  - 
2022-11-23T01:30:19.3404940Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3405066Z             {
2022-11-23T01:30:19.3405238Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3405373Z                 'code': None,
2022-11-23T01:30:19.3405614Z                 'obj_weakref': <weakref at 0x7ff5a865aac0; to 'Tensor' at 0x7ff5a87a3bf0>
2022-11-23T01:30:19.3405914Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3406016Z             }
2022-11-23T01:30:19.3406066Z             
2022-11-23T01:30:19.3406163Z  - 
2022-11-23T01:30:19.3406315Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.3406409Z             {
2022-11-23T01:30:19.3406582Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3406718Z                 'code': None,
2022-11-23T01:30:19.3406956Z                 'obj_weakref': <weakref at 0x7ff5a8071490; to 'Tensor' at 0x7ff5a87a11c0>
2022-11-23T01:30:19.3407193Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3407312Z             }
2022-11-23T01:30:19.3407402Z             
2022-11-23T01:30:19.3407503Z  - 
2022-11-23T01:30:19.3407661Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3407786Z             {
2022-11-23T01:30:19.3407946Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3408104Z                 'code': ['___check_obj_id(model, 140693069438048)'],
2022-11-23T01:30:19.3408253Z                 'obj_weakref': None
2022-11-23T01:30:19.3408518Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3408631Z             }
2022-11-23T01:30:19.3408725Z             
2022-11-23T01:30:19.3408822Z  - 
2022-11-23T01:30:19.3409007Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3409058Z             {
2022-11-23T01:30:19.3409223Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3409466Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3409620Z                 'obj_weakref': None
2022-11-23T01:30:19.3409868Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3409981Z             }
2022-11-23T01:30:19.3410073Z             
2022-11-23T01:30:19.3410378Z [2022-11-23 01:22:01,324] torch._dynamo.eval_frame: [DEBUG] skipping _call_impl /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py
2022-11-23T01:30:19.3410714Z [2022-11-23 01:22:01,324] torch._dynamo.eval_frame: [DEBUG] skipping forward /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:30:19.3411104Z [2022-11-23 01:22:01,324] torch._dynamo.eval_frame: [DEBUG] skipping __getattr__ /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:30:19.3411439Z [2022-11-23 01:22:01,324] torch._dynamo.eval_frame: [DEBUG] skipping __call__ /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:30:19.3411780Z [2022-11-23 01:22:01,324] torch._dynamo.eval_frame: [DEBUG] skipping innermost_fn /opt/conda/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:30:19.3412064Z [2022-11-23 01:22:01,324] torch._dynamo.eval_frame: [DEBUG] skipping wraps /opt/conda/lib/python3.10/functools.py
2022-11-23T01:30:19.3412362Z [2022-11-23 01:22:01,324] torch._dynamo.eval_frame: [DEBUG] skipping update_wrapper /opt/conda/lib/python3.10/functools.py
2022-11-23T01:30:19.3412481Z ok (0.012s)
2022-11-23T01:30:19.3412812Z   test_addmm_cpu (__main__.CpuTests) ... [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3413159Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3413364Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3413650Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3413957Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3414306Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3414682Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3415036Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3415456Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333> 
2022-11-23T01:30:19.3415581Z  1334           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3415741Z                2 LOAD_METHOD              1 (addmm)
2022-11-23T01:30:19.3415859Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.3415937Z                6 LOAD_CONST               1 (1)
2022-11-23T01:30:19.3416038Z                8 BINARY_ADD
2022-11-23T01:30:19.3416157Z               10 LOAD_FAST                1 (b)
2022-11-23T01:30:19.3416273Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3416374Z               14 BINARY_ADD
2022-11-23T01:30:19.3416645Z               16 LOAD_FAST                2 (c)
2022-11-23T01:30:19.3416770Z               18 LOAD_CONST               3 (3)
2022-11-23T01:30:19.3416887Z               20 BINARY_ADD
2022-11-23T01:30:19.3417007Z               22 CALL_METHOD              3
2022-11-23T01:30:19.3417124Z               24 LOAD_CONST               4 (4)
2022-11-23T01:30:19.3417226Z               26 BINARY_ADD
2022-11-23T01:30:19.3417343Z               28 BUILD_TUPLE              1
2022-11-23T01:30:19.3417446Z               30 RETURN_VALUE
2022-11-23T01:30:19.3417536Z  
2022-11-23T01:30:19.3417544Z 
2022-11-23T01:30:19.3417853Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1334
2022-11-23T01:30:19.3418131Z [2022-11-23 01:22:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.3418565Z [2022-11-23 01:22:01,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR addmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3418966Z [2022-11-23 01:22:01,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3419341Z [2022-11-23 01:22:01,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3419760Z [2022-11-23 01:22:01,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3420139Z [2022-11-23 01:22:01,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3420549Z [2022-11-23 01:22:01,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3421002Z [2022-11-23 01:22:01,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3421422Z [2022-11-23 01:22:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3421857Z [2022-11-23 01:22:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3422332Z [2022-11-23 01:22:01,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3422773Z [2022-11-23 01:22:01,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method addmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3423000Z [2022-11-23 01:22:01,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:30:19.3423305Z [2022-11-23 01:22:01,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3423583Z [2022-11-23 01:22:01,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.3423856Z [2022-11-23 01:22:01,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3424258Z [2022-11-23 01:22:01,336] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16a550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1333>
2022-11-23T01:30:19.3424615Z [2022-11-23 01:22:01,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3424880Z [2022-11-23 01:22:01,336] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3425162Z [2022-11-23 01:22:01,337] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3425437Z [2022-11-23 01:22:01,343] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3425661Z [2022-11-23 01:22:01,343] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3425783Z  __compiled_fn_13 <eval_with_key>.92 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3425902Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3426018Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.3426161Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.3426385Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.3426590Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:30:19.3426797Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:30:19.3427028Z call_function, addmm, <built-in method addmm of type object at 0x7ff5d7c59c60>, (add, add_1, add_2), {}
2022-11-23T01:30:19.3427233Z call_function, add_3, <built-in function add>, (addmm, 4), {}
2022-11-23T01:30:19.3427356Z output, output, output, ((add_3,),), {}
2022-11-23T01:30:19.3427361Z 
2022-11-23T01:30:19.3427715Z [2022-11-23 01:22:01,344] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3427867Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3427987Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3428122Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3428253Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3428326Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3428447Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3428555Z              12 RETURN_VALUE
2022-11-23T01:30:19.3428561Z 
2022-11-23T01:30:19.3428652Z  
2022-11-23T01:30:19.3429005Z [2022-11-23 01:22:01,344] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3429142Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_13)
2022-11-23T01:30:19.3429261Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3429408Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3429472Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3429591Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3429706Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3429811Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.3429925Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3430037Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.3430178Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.3430254Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.3430394Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3430541Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3430660Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3430763Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.3430879Z              30 BUILD_TUPLE              1
2022-11-23T01:30:19.3430982Z              32 RETURN_VALUE
2022-11-23T01:30:19.3430987Z 
2022-11-23T01:30:19.3431035Z  
2022-11-23T01:30:19.3431248Z [2022-11-23 01:22:01,345] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3431354Z  - 
2022-11-23T01:30:19.3431503Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3431618Z             {
2022-11-23T01:30:19.3431787Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3432035Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.3432144Z                 'obj_weakref': None
2022-11-23T01:30:19.3432397Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3432489Z             }
2022-11-23T01:30:19.3432619Z             
2022-11-23T01:30:19.3432715Z  - 
2022-11-23T01:30:19.3432869Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3432981Z             {
2022-11-23T01:30:19.3433110Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3433246Z                 'code': None,
2022-11-23T01:30:19.3433487Z                 'obj_weakref': <weakref at 0x7ff59c02afc0; to 'Tensor' at 0x7ff5a8715170>
2022-11-23T01:30:19.3433771Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3433980Z             }
2022-11-23T01:30:19.3434071Z             
2022-11-23T01:30:19.3434173Z  - 
2022-11-23T01:30:19.3434289Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.3434381Z             {
2022-11-23T01:30:19.3434579Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3434717Z                 'code': None,
2022-11-23T01:30:19.3434963Z                 'obj_weakref': <weakref at 0x7ff59c028180; to 'Tensor' at 0x7ff5a98dfc90>
2022-11-23T01:30:19.3435241Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3435365Z             }
2022-11-23T01:30:19.3435454Z             
2022-11-23T01:30:19.3435511Z  - 
2022-11-23T01:30:19.3435662Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.3435753Z             {
2022-11-23T01:30:19.3435944Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3436086Z                 'code': None,
2022-11-23T01:30:19.3436330Z                 'obj_weakref': <weakref at 0x7ff59c02bd80; to 'Tensor' at 0x7ff5a98dc450>
2022-11-23T01:30:19.3436612Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3436664Z             }
2022-11-23T01:30:19.3436756Z             
2022-11-23T01:30:19.3436854Z  - 
2022-11-23T01:30:19.3437016Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3437142Z             {
2022-11-23T01:30:19.3437329Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3437486Z                 'code': ['___check_obj_id(model, 140693063922544)'],
2022-11-23T01:30:19.3437633Z                 'obj_weakref': None
2022-11-23T01:30:19.3437890Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3438014Z             }
2022-11-23T01:30:19.3438108Z             
2022-11-23T01:30:19.3438206Z  - 
2022-11-23T01:30:19.3438357Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3438409Z             {
2022-11-23T01:30:19.3438578Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3438848Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3439001Z                 'obj_weakref': None
2022-11-23T01:30:19.3439251Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3439343Z             }
2022-11-23T01:30:19.3439436Z             
2022-11-23T01:30:19.3439493Z  - 
2022-11-23T01:30:19.3439654Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.3439752Z             {
2022-11-23T01:30:19.3439900Z                 'guard_types': None,
2022-11-23T01:30:19.3440070Z                 'code': None,
2022-11-23T01:30:19.3440216Z                 'obj_weakref': None
2022-11-23T01:30:19.3440398Z                 'guarded_class': None
2022-11-23T01:30:19.3440448Z             }
2022-11-23T01:30:19.3440541Z             
2022-11-23T01:30:19.3440835Z [2022-11-23 01:22:01,354] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 12
2022-11-23T01:30:19.3441280Z [2022-11-23 01:22:02,842] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hi/chi5gddipza5jomol2yyvgthtieyyqfog63nabmkafhoumznnxnz.py
2022-11-23T01:30:19.3441570Z [2022-11-23 01:22:02,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 12
2022-11-23T01:30:19.3441577Z 
2022-11-23T01:30:19.3441699Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3441815Z import torch
2022-11-23T01:30:19.3441913Z import random
2022-11-23T01:30:19.3442017Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3442165Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3442170Z 
2022-11-23T01:30:19.3442285Z aten = torch.ops.aten
2022-11-23T01:30:19.3442448Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3442602Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3442607Z 
2022-11-23T01:30:19.3442611Z 
2022-11-23T01:30:19.3442775Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3443009Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3443175Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3443268Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.3443434Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.3443570Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.3443693Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.3443817Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.3443906Z {
2022-11-23T01:30:19.3444032Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3444082Z     {
2022-11-23T01:30:19.3444189Z         #pragma omp for 
2022-11-23T01:30:19.3444316Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3444417Z         {
2022-11-23T01:30:19.3444588Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.3444754Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.3444868Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3444988Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.3445040Z         }
2022-11-23T01:30:19.3445161Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3445273Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.3445425Z         {
2022-11-23T01:30:19.3445538Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3445665Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.3445738Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3445848Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.3445939Z         }
2022-11-23T01:30:19.3446044Z         #pragma omp for 
2022-11-23T01:30:19.3446154Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3446254Z         {
2022-11-23T01:30:19.3446429Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.3446547Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.3446660Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3446778Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.3446869Z         }
2022-11-23T01:30:19.3446990Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3447099Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.3447196Z         {
2022-11-23T01:30:19.3447266Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:19.3447393Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.3447551Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3447661Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.3447751Z         }
2022-11-23T01:30:19.3447854Z         #pragma omp for 
2022-11-23T01:30:19.3447964Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3448014Z         {
2022-11-23T01:30:19.3448177Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:30:19.3448371Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:19.3448484Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3448621Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.3448712Z         }
2022-11-23T01:30:19.3448837Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3448905Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.3449002Z         {
2022-11-23T01:30:19.3449114Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:30:19.3449240Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:30:19.3449351Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3449486Z             out_ptr2[i0] = tmp2;
2022-11-23T01:30:19.3449594Z         }
2022-11-23T01:30:19.3449643Z     }
2022-11-23T01:30:19.3449731Z }
2022-11-23T01:30:19.3449883Z ''')
2022-11-23T01:30:19.3449890Z 
2022-11-23T01:30:19.3449894Z 
2022-11-23T01:30:19.3450058Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:30:19.3450296Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3450441Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:30:19.3450529Z {
2022-11-23T01:30:19.3450653Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3450702Z     {
2022-11-23T01:30:19.3450825Z         #pragma omp for 
2022-11-23T01:30:19.3450941Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3451032Z         {
2022-11-23T01:30:19.3451196Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.3451355Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:30:19.3451466Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3451549Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.3451668Z         }
2022-11-23T01:30:19.3451793Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3451932Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.3452023Z         {
2022-11-23T01:30:19.3452144Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.3452270Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:30:19.3452342Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3452453Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.3452544Z         }
2022-11-23T01:30:19.3452635Z     }
2022-11-23T01:30:19.3452733Z }
2022-11-23T01:30:19.3452862Z ''')
2022-11-23T01:30:19.3452867Z 
2022-11-23T01:30:19.3452871Z 
2022-11-23T01:30:19.3452990Z async_compile.wait(globals())
2022-11-23T01:30:19.3453050Z del async_compile
2022-11-23T01:30:19.3453055Z 
2022-11-23T01:30:19.3453154Z def call(args):
2022-11-23T01:30:19.3453264Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.3453364Z     args.clear()
2022-11-23T01:30:19.3453622Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3453854Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3454073Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3454296Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.3454413Z     del arg0_1
2022-11-23T01:30:19.3454508Z     del arg1_1
2022-11-23T01:30:19.3454603Z     del arg2_1
2022-11-23T01:30:19.3454821Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3454973Z     aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3)
2022-11-23T01:30:19.3455074Z     del buf0
2022-11-23T01:30:19.3455125Z     del buf1
2022-11-23T01:30:19.3455216Z     del buf2
2022-11-23T01:30:19.3455330Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:30:19.3455482Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.3455587Z     return (buf4, )
2022-11-23T01:30:19.3455592Z 
2022-11-23T01:30:19.3455596Z 
2022-11-23T01:30:19.3455700Z if __name__ == "__main__":
2022-11-23T01:30:19.3455882Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3456076Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3456257Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3456604Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3456824Z     arg2_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3456974Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.3456979Z 
2022-11-23T01:30:19.3457098Z ok (1.519s)
2022-11-23T01:30:19.3457451Z   test_alexnet_prefix_cpu (__main__.CpuTests) ... [2022-11-23 01:22:02,919] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3457864Z [2022-11-23 01:22:02,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3458112Z [2022-11-23 01:22:02,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3458394Z [2022-11-23 01:22:02,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3458657Z [2022-11-23 01:22:02,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3459005Z [2022-11-23 01:22:02,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3459379Z [2022-11-23 01:22:02,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3459727Z [2022-11-23 01:22:02,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3460163Z [2022-11-23 01:22:02,920] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1124a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077> 
2022-11-23T01:30:19.3460298Z  2078           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3460417Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.3460561Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.3460694Z                6 LOAD_METHOD              3 (convolution)
2022-11-23T01:30:19.3460700Z 
2022-11-23T01:30:19.3460779Z 2079           8 LOAD_FAST                2 (arg16)
2022-11-23T01:30:19.3460895Z               10 LOAD_FAST                1 (arg7)
2022-11-23T01:30:19.3461011Z               12 LOAD_FAST                0 (arg6)
2022-11-23T01:30:19.3461130Z               14 LOAD_CONST               1 (4)
2022-11-23T01:30:19.3461279Z               16 LOAD_CONST               1 (4)
2022-11-23T01:30:19.3461395Z               18 BUILD_LIST               2
2022-11-23T01:30:19.3461516Z               20 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3461591Z               22 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3461707Z               24 BUILD_LIST               2
2022-11-23T01:30:19.3461820Z               26 LOAD_CONST               3 (1)
2022-11-23T01:30:19.3461932Z               28 LOAD_CONST               3 (1)
2022-11-23T01:30:19.3462044Z               30 BUILD_LIST               2
2022-11-23T01:30:19.3462171Z               32 LOAD_CONST               4 (False)
2022-11-23T01:30:19.3462303Z               34 LOAD_CONST               5 (0)
2022-11-23T01:30:19.3462418Z               36 LOAD_CONST               5 (0)
2022-11-23T01:30:19.3462491Z               38 BUILD_LIST               2
2022-11-23T01:30:19.3462602Z               40 LOAD_CONST               3 (1)
2022-11-23T01:30:19.3462607Z 
2022-11-23T01:30:19.3462757Z 2078          42 CALL_METHOD              9
2022-11-23T01:30:19.3462886Z               44 STORE_FAST               3 (convolution)
2022-11-23T01:30:19.3462892Z 
2022-11-23T01:30:19.3463061Z 2081          46 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3463181Z               48 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.3463300Z               50 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.3463377Z               52 LOAD_METHOD              4 (relu)
2022-11-23T01:30:19.3463525Z               54 LOAD_FAST                3 (convolution)
2022-11-23T01:30:19.3463640Z               56 CALL_METHOD              1
2022-11-23T01:30:19.3463760Z               58 STORE_FAST               4 (relu)
2022-11-23T01:30:19.3463765Z 
2022-11-23T01:30:19.3463885Z 2082          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3464009Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.3464125Z               64 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.3464297Z               66 LOAD_METHOD              5 (max_pool2d_with_indices)
2022-11-23T01:30:19.3464303Z 
2022-11-23T01:30:19.3464377Z 2083          68 LOAD_FAST                4 (relu)
2022-11-23T01:30:19.3464496Z               70 LOAD_CONST               6 (3)
2022-11-23T01:30:19.3464636Z               72 LOAD_CONST               6 (3)
2022-11-23T01:30:19.3464777Z               74 BUILD_LIST               2
2022-11-23T01:30:19.3464893Z               76 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3465013Z               78 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3465126Z               80 BUILD_LIST               2
2022-11-23T01:30:19.3465130Z 
2022-11-23T01:30:19.3465245Z 2082          82 CALL_METHOD              3
2022-11-23T01:30:19.3465346Z               84 STORE_FAST               5 (max_pool2d_with_indices)
2022-11-23T01:30:19.3465351Z 
2022-11-23T01:30:19.3465487Z 2085          86 LOAD_FAST                5 (max_pool2d_with_indices)
2022-11-23T01:30:19.3465603Z               88 LOAD_CONST               5 (0)
2022-11-23T01:30:19.3465737Z               90 BINARY_SUBSCR
2022-11-23T01:30:19.3465860Z               92 STORE_FAST               6 (getitem)
2022-11-23T01:30:19.3465866Z 
2022-11-23T01:30:19.3465994Z 2086          94 LOAD_FAST                6 (getitem)
2022-11-23T01:30:19.3466110Z               96 BUILD_TUPLE              1
2022-11-23T01:30:19.3466214Z               98 RETURN_VALUE
2022-11-23T01:30:19.3466262Z  
2022-11-23T01:30:19.3466267Z 
2022-11-23T01:30:19.3466618Z [2022-11-23 01:22:02,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T01:30:19.3466869Z [2022-11-23 01:22:02,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.3467265Z [2022-11-23 01:22:02,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3467610Z [2022-11-23 01:22:02,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.3467992Z [2022-11-23 01:22:02,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3468339Z [2022-11-23 01:22:02,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2079
2022-11-23T01:30:19.3468635Z [2022-11-23 01:22:02,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg16 [TorchVariable(aten.convolution)]
2022-11-23T01:30:19.3468959Z [2022-11-23 01:22:02,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg7 [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:30:19.3469312Z [2022-11-23 01:22:02,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg6 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3469653Z [2022-11-23 01:22:02,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3470092Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3470550Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3470969Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.3471403Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3471905Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3472327Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.3472790Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3473291Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3473763Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.3474373Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.3474925Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:30:19.3475492Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3476006Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:30:19.3476348Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2078
2022-11-23T01:30:19.3476904Z [2022-11-23 01:22:02,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3477205Z [2022-11-23 01:22:02,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution [TensorVariable()]
2022-11-23T01:30:19.3477582Z [2022-11-23 01:22:02,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2081
2022-11-23T01:30:19.3477787Z [2022-11-23 01:22:02,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.3478179Z [2022-11-23 01:22:02,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3478524Z [2022-11-23 01:22:02,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.3478859Z [2022-11-23 01:22:02,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3479183Z [2022-11-23 01:22:02,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution [TorchVariable(aten.relu)]
2022-11-23T01:30:19.3479502Z [2022-11-23 01:22:02,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu), TensorVariable()]
2022-11-23T01:30:19.3479773Z [2022-11-23 01:22:02,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST relu [TensorVariable()]
2022-11-23T01:30:19.3480118Z [2022-11-23 01:22:02,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T01:30:19.3480392Z [2022-11-23 01:22:02,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.3480783Z [2022-11-23 01:22:02,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3481121Z [2022-11-23 01:22:02,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.3481445Z [2022-11-23 01:22:02,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3481785Z [2022-11-23 01:22:02,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2083
2022-11-23T01:30:19.3482102Z [2022-11-23 01:22:02,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST relu [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:30:19.3482438Z [2022-11-23 01:22:02,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:30:19.3482811Z [2022-11-23 01:22:02,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3483220Z [2022-11-23 01:22:02,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3483580Z [2022-11-23 01:22:02,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.3483977Z [2022-11-23 01:22:02,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3484429Z [2022-11-23 01:22:02,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3484777Z [2022-11-23 01:22:02,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2082
2022-11-23T01:30:19.3485196Z [2022-11-23 01:22:02,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.3485493Z [2022-11-23 01:22:02,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_pool2d_with_indices [TupleVariable()]
2022-11-23T01:30:19.3485788Z [2022-11-23 01:22:02,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2085
2022-11-23T01:30:19.3486060Z [2022-11-23 01:22:02,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_pool2d_with_indices []
2022-11-23T01:30:19.3486356Z [2022-11-23 01:22:02,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:30:19.3486669Z [2022-11-23 01:22:02,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3486978Z [2022-11-23 01:22:02,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()]
2022-11-23T01:30:19.3487337Z [2022-11-23 01:22:02,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2086
2022-11-23T01:30:19.3487580Z [2022-11-23 01:22:02,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem []
2022-11-23T01:30:19.3487847Z [2022-11-23 01:22:02,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.3488119Z [2022-11-23 01:22:02,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3488536Z [2022-11-23 01:22:02,947] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1124a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2077>
2022-11-23T01:30:19.3488767Z [2022-11-23 01:22:02,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3489027Z [2022-11-23 01:22:02,947] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3489318Z [2022-11-23 01:22:02,948] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3489595Z [2022-11-23 01:22:02,954] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3489833Z [2022-11-23 01:22:02,954] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3489997Z  __compiled_fn_14 <eval_with_key>.98 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3490113Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3490227Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.3490298Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.3490512Z call_function, convolution, aten.convolution, (ex_2_, ex_1_, ex_0_, [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {}
2022-11-23T01:30:19.3490664Z call_function, relu, aten.relu, (convolution,), {}
2022-11-23T01:30:19.3490851Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (relu, [3, 3], [2, 2]), {}
2022-11-23T01:30:19.3491101Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:30:19.3491250Z output, output, output, ((getitem,),), {}
2022-11-23T01:30:19.3491256Z 
2022-11-23T01:30:19.3491611Z [2022-11-23 01:22:02,955] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3491732Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3491811Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3491928Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3492056Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3492170Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3492287Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3492396Z              12 RETURN_VALUE
2022-11-23T01:30:19.3492401Z 
2022-11-23T01:30:19.3492508Z  
2022-11-23T01:30:19.3492889Z [2022-11-23 01:22:02,955] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3492984Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_14)
2022-11-23T01:30:19.3493109Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3493257Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3493365Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3493481Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3493603Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3493709Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.3493786Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3493919Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.3494031Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.3494177Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.3494310Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3494441Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3494556Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3494619Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.3494732Z              30 BUILD_TUPLE              1
2022-11-23T01:30:19.3494834Z              32 RETURN_VALUE
2022-11-23T01:30:19.3494839Z 
2022-11-23T01:30:19.3494972Z  
2022-11-23T01:30:19.3495188Z [2022-11-23 01:22:02,956] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3495320Z  - 
2022-11-23T01:30:19.3495469Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3495521Z             {
2022-11-23T01:30:19.3495690Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3495908Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.3496060Z                 'obj_weakref': None
2022-11-23T01:30:19.3496322Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3496550Z             }
2022-11-23T01:30:19.3496646Z             
2022-11-23T01:30:19.3496703Z  - 
2022-11-23T01:30:19.3496861Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3496954Z             {
2022-11-23T01:30:19.3497131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3497265Z                 'code': None,
2022-11-23T01:30:19.3497515Z                 'obj_weakref': <weakref at 0x7ff5a87a3dd0; to 'Tensor' at 0x7ff5a98dc540>
2022-11-23T01:30:19.3497799Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3497912Z             }
2022-11-23T01:30:19.3497965Z             
2022-11-23T01:30:19.3498091Z  - 
2022-11-23T01:30:19.3498243Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.3498337Z             {
2022-11-23T01:30:19.3498513Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3498656Z                 'code': None,
2022-11-23T01:30:19.3498856Z                 'obj_weakref': <weakref at 0x7ff5a819c5e0; to 'Tensor' at 0x7ff5a98dc450>
2022-11-23T01:30:19.3499137Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3499228Z             }
2022-11-23T01:30:19.3499339Z             
2022-11-23T01:30:19.3499438Z  - 
2022-11-23T01:30:19.3499592Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.3499684Z             {
2022-11-23T01:30:19.3499812Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3499956Z                 'code': None,
2022-11-23T01:30:19.3500195Z                 'obj_weakref': <weakref at 0x7ff59c02bdd0; to 'Tensor' at 0x7ff59c18f4c0>
2022-11-23T01:30:19.3500480Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3500574Z             }
2022-11-23T01:30:19.3500686Z             
2022-11-23T01:30:19.3500815Z  - 
2022-11-23T01:30:19.3500974Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3501090Z             {
2022-11-23T01:30:19.3501262Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3501461Z                 'code': ['___check_obj_id(model, 140693063916928)'],
2022-11-23T01:30:19.3501608Z                 'obj_weakref': None
2022-11-23T01:30:19.3501866Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3501959Z             }
2022-11-23T01:30:19.3502069Z             
2022-11-23T01:30:19.3502126Z  - 
2022-11-23T01:30:19.3502281Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3502373Z             {
2022-11-23T01:30:19.3502542Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3502789Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3502977Z                 'obj_weakref': None
2022-11-23T01:30:19.3503224Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3503277Z             }
2022-11-23T01:30:19.3503396Z             
2022-11-23T01:30:19.3503520Z  - 
2022-11-23T01:30:19.3503681Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.3503772Z             {
2022-11-23T01:30:19.3503919Z                 'guard_types': None,
2022-11-23T01:30:19.3504013Z                 'code': None,
2022-11-23T01:30:19.3504158Z                 'obj_weakref': None
2022-11-23T01:30:19.3504308Z                 'guarded_class': None
2022-11-23T01:30:19.3504399Z             }
2022-11-23T01:30:19.3504499Z             
2022-11-23T01:30:19.3504812Z [2022-11-23 01:22:02,965] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 13
2022-11-23T01:30:19.3505058Z [2022-11-23 01:22:03,039] torch._inductor.scheduler: [DEBUG] removed dead node: buf2
2022-11-23T01:30:19.3505455Z [2022-11-23 01:22:04,502] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/44/c44t3jzux5db5ehiyjn7xemnoqd7jvgyr3gvth3e4brfa2gv5gtb.py
2022-11-23T01:30:19.3505710Z [2022-11-23 01:22:04,502] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 13
2022-11-23T01:30:19.3505757Z 
2022-11-23T01:30:19.3505838Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3505937Z import torch
2022-11-23T01:30:19.3506035Z import random
2022-11-23T01:30:19.3506183Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3506359Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3506365Z 
2022-11-23T01:30:19.3506490Z aten = torch.ops.aten
2022-11-23T01:30:19.3506655Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3506736Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3506740Z 
2022-11-23T01:30:19.3506745Z 
2022-11-23T01:30:19.3506908Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3507143Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3507292Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3507430Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.3507521Z {
2022-11-23T01:30:19.3507646Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3507695Z     {
2022-11-23T01:30:19.3507819Z         #pragma omp for 
2022-11-23T01:30:19.3507930Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.3508022Z         {
2022-11-23T01:30:19.3508131Z             #pragma GCC ivdep
2022-11-23T01:30:19.3508252Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:30:19.3508344Z             {
2022-11-23T01:30:19.3508414Z                 #pragma GCC ivdep
2022-11-23T01:30:19.3508563Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:30:19.3508656Z                 {
2022-11-23T01:30:19.3508769Z                     {
2022-11-23T01:30:19.3508870Z                         {
2022-11-23T01:30:19.3509014Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3509199Z                             auto tmp3 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3509299Z                             auto tmp9 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3509444Z                             auto tmp15 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3509581Z                             auto tmp21 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3509716Z                             auto tmp27 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3509857Z                             auto tmp33 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3510017Z                             auto tmp39 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3510166Z                             auto tmp45 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3510323Z                             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:30:19.3510429Z                             auto tmp2 = static_cast<long>((2*i2) + (110*i1));
2022-11-23T01:30:19.3510559Z                             auto tmp4 = tmp3 * (tmp3>0);
2022-11-23T01:30:19.3510705Z                             auto tmp5 = static_cast<long>(1 + (2*i2) + (110*i1));
2022-11-23T01:30:19.3510859Z                             auto tmp6 = tmp4 > tmp1;
2022-11-23T01:30:19.3510990Z                             auto tmp7 = tmp6 ? tmp5 : tmp2;
2022-11-23T01:30:19.3511139Z                             auto tmp8 = std::max(tmp4, tmp1);
2022-11-23T01:30:19.3511294Z                             auto tmp10 = tmp9 * (tmp9>0);
2022-11-23T01:30:19.3511442Z                             auto tmp11 = static_cast<long>(2 + (2*i2) + (110*i1));
2022-11-23T01:30:19.3511526Z                             auto tmp12 = tmp10 > tmp8;
2022-11-23T01:30:19.3511658Z                             auto tmp13 = tmp12 ? tmp11 : tmp7;
2022-11-23T01:30:19.3511798Z                             auto tmp14 = std::max(tmp10, tmp8);
2022-11-23T01:30:19.3511930Z                             auto tmp16 = tmp15 * (tmp15>0);
2022-11-23T01:30:19.3512081Z                             auto tmp17 = static_cast<long>(55 + (2*i2) + (110*i1));
2022-11-23T01:30:19.3512206Z                             auto tmp18 = tmp16 > tmp14;
2022-11-23T01:30:19.3512345Z                             auto tmp19 = tmp18 ? tmp17 : tmp13;
2022-11-23T01:30:19.3512504Z                             auto tmp20 = std::max(tmp16, tmp14);
2022-11-23T01:30:19.3512593Z                             auto tmp22 = tmp21 * (tmp21>0);
2022-11-23T01:30:19.3512737Z                             auto tmp23 = static_cast<long>(56 + (2*i2) + (110*i1));
2022-11-23T01:30:19.3512859Z                             auto tmp24 = tmp22 > tmp20;
2022-11-23T01:30:19.3512991Z                             auto tmp25 = tmp24 ? tmp23 : tmp19;
2022-11-23T01:30:19.3513169Z                             auto tmp26 = std::max(tmp22, tmp20);
2022-11-23T01:30:19.3513299Z                             auto tmp28 = tmp27 * (tmp27>0);
2022-11-23T01:30:19.3513455Z                             auto tmp29 = static_cast<long>(57 + (2*i2) + (110*i1));
2022-11-23T01:30:19.3513578Z                             auto tmp30 = tmp28 > tmp26;
2022-11-23T01:30:19.3513669Z                             auto tmp31 = tmp30 ? tmp29 : tmp25;
2022-11-23T01:30:19.3513900Z                             auto tmp32 = std::max(tmp28, tmp26);
2022-11-23T01:30:19.3514038Z                             auto tmp34 = tmp33 * (tmp33>0);
2022-11-23T01:30:19.3514187Z                             auto tmp35 = static_cast<long>(110 + (2*i2) + (110*i1));
2022-11-23T01:30:19.3514316Z                             auto tmp36 = tmp34 > tmp32;
2022-11-23T01:30:19.3514451Z                             auto tmp37 = tmp36 ? tmp35 : tmp31;
2022-11-23T01:30:19.3514597Z                             auto tmp38 = std::max(tmp34, tmp32);
2022-11-23T01:30:19.3514730Z                             auto tmp40 = tmp39 * (tmp39>0);
2022-11-23T01:30:19.3514838Z                             auto tmp41 = static_cast<long>(111 + (2*i2) + (110*i1));
2022-11-23T01:30:19.3514999Z                             auto tmp42 = tmp40 > tmp38;
2022-11-23T01:30:19.3515156Z                             auto tmp43 = tmp42 ? tmp41 : tmp37;
2022-11-23T01:30:19.3515293Z                             auto tmp44 = std::max(tmp40, tmp38);
2022-11-23T01:30:19.3515420Z                             auto tmp46 = tmp45 * (tmp45>0);
2022-11-23T01:30:19.3515614Z                             auto tmp47 = static_cast<long>(112 + (2*i2) + (110*i1));
2022-11-23T01:30:19.3515742Z                             auto tmp48 = tmp46 > tmp44;
2022-11-23T01:30:19.3515833Z                             auto tmp49 = tmp48 ? tmp47 : tmp43;
2022-11-23T01:30:19.3515968Z                             auto tmp50 = std::max(tmp46, tmp44);
2022-11-23T01:30:19.3516101Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp50;
2022-11-23T01:30:19.3516225Z                         }
2022-11-23T01:30:19.3516340Z                     }
2022-11-23T01:30:19.3516438Z                 }
2022-11-23T01:30:19.3516542Z             }
2022-11-23T01:30:19.3516592Z         }
2022-11-23T01:30:19.3516684Z     }
2022-11-23T01:30:19.3516772Z }
2022-11-23T01:30:19.3516894Z ''')
2022-11-23T01:30:19.3516900Z 
2022-11-23T01:30:19.3516905Z 
2022-11-23T01:30:19.3517026Z async_compile.wait(globals())
2022-11-23T01:30:19.3517126Z del async_compile
2022-11-23T01:30:19.3517131Z 
2022-11-23T01:30:19.3517248Z def call(args):
2022-11-23T01:30:19.3517365Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.3517425Z     args.clear()
2022-11-23T01:30:19.3517623Z     buf0 = aten.convolution(arg2_1, arg1_1, arg0_1, (4, 4), (2, 2), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.3517761Z     assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1))
2022-11-23T01:30:19.3517856Z     del arg0_1
2022-11-23T01:30:19.3517951Z     del arg1_1
2022-11-23T01:30:19.3518048Z     del arg2_1
2022-11-23T01:30:19.3518305Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3518429Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.3518558Z     return (buf1, )
2022-11-23T01:30:19.3518563Z 
2022-11-23T01:30:19.3518568Z 
2022-11-23T01:30:19.3518671Z if __name__ == "__main__":
2022-11-23T01:30:19.3518815Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3518966Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3519189Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3519439Z     arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3519694Z     arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3519803Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.3519811Z 
2022-11-23T01:30:19.3519916Z ok (1.681s)
2022-11-23T01:30:19.3520270Z   test_any_cpu (__main__.CpuTests) ... [2022-11-23 01:22:04,529] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3520618Z [2022-11-23 01:22:04,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3520892Z [2022-11-23 01:22:04,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3521173Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3521479Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3521825Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3522246Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3522604Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3522968Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e2ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:30:19.3523114Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3523234Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:30:19.3523401Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:30:19.3523518Z                6 CALL_METHOD              1
2022-11-23T01:30:19.3523523Z 
2022-11-23T01:30:19.3523648Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3523800Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:30:19.3523918Z               12 CALL_METHOD              0
2022-11-23T01:30:19.3523999Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:30:19.3524115Z               16 CALL_METHOD              0
2022-11-23T01:30:19.3524120Z 
2022-11-23T01:30:19.3524297Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:19.3524415Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:30:19.3524534Z               22 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3524663Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:30:19.3524778Z               26 CALL_METHOD              0
2022-11-23T01:30:19.3524854Z               28 LOAD_CONST               2 (0)
2022-11-23T01:30:19.3525027Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:30:19.3525147Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:30:19.3525152Z 
2022-11-23T01:30:19.3525279Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:19.3592642Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:30:19.3592905Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:19.3593057Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:30:19.3593163Z               42 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3593250Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:30:19.3593337Z               46 CALL_METHOD              0
2022-11-23T01:30:19.3593413Z               48 CALL_METHOD              1
2022-11-23T01:30:19.3593499Z               50 CALL_METHOD              1
2022-11-23T01:30:19.3593506Z 
2022-11-23T01:30:19.3593596Z 3383          52 BUILD_TUPLE              4
2022-11-23T01:30:19.3593668Z               54 RETURN_VALUE
2022-11-23T01:30:19.3593726Z  
2022-11-23T01:30:19.3593731Z 
2022-11-23T01:30:19.3594189Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T01:30:19.3594408Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.3594651Z [2022-11-23 01:22:04,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:30:19.3594919Z [2022-11-23 01:22:04,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:30:19.3595236Z [2022-11-23 01:22:04,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:30:19.3595550Z [2022-11-23 01:22:04,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T01:30:19.3595783Z [2022-11-23 01:22:04,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:19.3596052Z [2022-11-23 01:22:04,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3596549Z [2022-11-23 01:22:04,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:30:19.3596812Z [2022-11-23 01:22:04,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3597114Z [2022-11-23 01:22:04,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:30:19.3597423Z [2022-11-23 01:22:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T01:30:19.3597694Z [2022-11-23 01:22:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3598108Z [2022-11-23 01:22:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3598538Z [2022-11-23 01:22:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3598941Z [2022-11-23 01:22:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3599378Z [2022-11-23 01:22:04,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:30:19.3599776Z [2022-11-23 01:22:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3600229Z [2022-11-23 01:22:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3600723Z [2022-11-23 01:22:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:19.3601038Z [2022-11-23 01:22:04,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T01:30:19.3601340Z [2022-11-23 01:22:04,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3601797Z [2022-11-23 01:22:04,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3602210Z [2022-11-23 01:22:04,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3602778Z [2022-11-23 01:22:04,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3603302Z [2022-11-23 01:22:04,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3603882Z [2022-11-23 01:22:04,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3604472Z [2022-11-23 01:22:04,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:30:19.3605017Z [2022-11-23 01:22:04,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3605486Z [2022-11-23 01:22:04,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3605801Z [2022-11-23 01:22:04,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T01:30:19.3606121Z [2022-11-23 01:22:04,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3606365Z [2022-11-23 01:22:04,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3606729Z [2022-11-23 01:22:04,542] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e2ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T01:30:19.3606975Z [2022-11-23 01:22:04,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3607204Z [2022-11-23 01:22:04,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3607457Z [2022-11-23 01:22:04,544] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3607700Z [2022-11-23 01:22:04,551] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3607883Z [2022-11-23 01:22:04,551] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3608016Z  __compiled_fn_15 <eval_with_key>.104 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3608102Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3608237Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:30:19.3608321Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:30:19.3608409Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:30:19.3608500Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:30:19.3608735Z call_function, all_1, <built-in method all of type object at 0x7ff5d7c59c60>, (isinf_1,), {'dim': 0}
2022-11-23T01:30:19.3608824Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:30:19.3609077Z call_function, logical_not, <built-in method logical_not of type object at 0x7ff5d7c59c60>, (isinf_2,), {}
2022-11-23T01:30:19.3609312Z call_function, all_2, <built-in method all of type object at 0x7ff5d7c59c60>, (logical_not,), {}
2022-11-23T01:30:19.3609419Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:30:19.3609435Z 
2022-11-23T01:30:19.3609746Z [2022-11-23 01:22:04,551] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3609834Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3609923Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3610005Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3610151Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3610230Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3610314Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3610377Z              12 RETURN_VALUE
2022-11-23T01:30:19.3610396Z 
2022-11-23T01:30:19.3610445Z  
2022-11-23T01:30:19.3610763Z [2022-11-23 01:22:04,551] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3610866Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_15)
2022-11-23T01:30:19.3610957Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3611039Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3611111Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3611225Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3611315Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3611412Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3611503Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3611575Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3611671Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3611755Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3611827Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.3611912Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3612001Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.3612075Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.3612167Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3612255Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:19.3612330Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.3612413Z              36 BUILD_TUPLE              4
2022-11-23T01:30:19.3612475Z              38 RETURN_VALUE
2022-11-23T01:30:19.3612495Z 
2022-11-23T01:30:19.3612547Z  
2022-11-23T01:30:19.3612728Z [2022-11-23 01:22:04,552] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3612795Z  - 
2022-11-23T01:30:19.3612912Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3612970Z             {
2022-11-23T01:30:19.3613111Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3613284Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3613400Z                 'obj_weakref': None
2022-11-23T01:30:19.3613621Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3613681Z             }
2022-11-23T01:30:19.3613739Z             
2022-11-23T01:30:19.3613809Z  - 
2022-11-23T01:30:19.3613928Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3613981Z             {
2022-11-23T01:30:19.3614117Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3614226Z                 'code': None,
2022-11-23T01:30:19.3614435Z                 'obj_weakref': <weakref at 0x7ff5a819e070; to 'Tensor' at 0x7ff5a8715170>
2022-11-23T01:30:19.3614682Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3614744Z             }
2022-11-23T01:30:19.3614802Z             
2022-11-23T01:30:19.3614858Z  - 
2022-11-23T01:30:19.3614984Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3615043Z             {
2022-11-23T01:30:19.3615177Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3615340Z                 'code': ['___check_obj_id(model, 140693066976704)'],
2022-11-23T01:30:19.3615454Z                 'obj_weakref': None
2022-11-23T01:30:19.3615685Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3615740Z             }
2022-11-23T01:30:19.3615803Z             
2022-11-23T01:30:19.3615868Z  - 
2022-11-23T01:30:19.3615984Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3616081Z             {
2022-11-23T01:30:19.3616213Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3616557Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3616663Z                 'obj_weakref': None
2022-11-23T01:30:19.3616877Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3616938Z             }
2022-11-23T01:30:19.3616995Z             
2022-11-23T01:30:19.3617067Z  - 
2022-11-23T01:30:19.3617197Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.3617258Z             {
2022-11-23T01:30:19.3617365Z                 'guard_types': None,
2022-11-23T01:30:19.3617472Z                 'code': None,
2022-11-23T01:30:19.3617633Z                 'obj_weakref': None
2022-11-23T01:30:19.3617754Z                 'guarded_class': None
2022-11-23T01:30:19.3617814Z             }
2022-11-23T01:30:19.3617874Z             
2022-11-23T01:30:19.3618135Z [2022-11-23 01:22:04,565] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 14
2022-11-23T01:30:19.3618492Z [2022-11-23 01:22:06,090] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xq/cxqtw4sm7kdxgdpf5mexbvuo6e5ynfrksxfmj3xl2pbuouulib3t.py
2022-11-23T01:30:19.3618751Z [2022-11-23 01:22:06,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 14
2022-11-23T01:30:19.3618985Z [2022-11-23 01:22:06,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3619295Z [2022-11-23 01:22:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3619513Z [2022-11-23 01:22:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3619765Z [2022-11-23 01:22:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3620038Z [2022-11-23 01:22:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3620361Z [2022-11-23 01:22:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3620704Z [2022-11-23 01:22:06,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3621024Z [2022-11-23 01:22:06,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3621400Z [2022-11-23 01:22:06,095] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e2ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:30:19.3621484Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3621576Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:30:19.3621715Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:30:19.3621805Z                6 CALL_METHOD              1
2022-11-23T01:30:19.3621811Z 
2022-11-23T01:30:19.3621900Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3621988Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:30:19.3622073Z               12 CALL_METHOD              0
2022-11-23T01:30:19.3622151Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:30:19.3622234Z               16 CALL_METHOD              0
2022-11-23T01:30:19.3622238Z 
2022-11-23T01:30:19.3622328Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:19.3622409Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:30:19.3622497Z               22 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3622586Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:30:19.3622702Z               26 CALL_METHOD              0
2022-11-23T01:30:19.3622787Z               28 LOAD_CONST               2 (0)
2022-11-23T01:30:19.3622919Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:30:19.3623004Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:30:19.3623009Z 
2022-11-23T01:30:19.3623102Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:19.3623189Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:30:19.3623278Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:19.3623379Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:30:19.3623465Z               42 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3623544Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:30:19.3623657Z               46 CALL_METHOD              0
2022-11-23T01:30:19.3623740Z               48 CALL_METHOD              1
2022-11-23T01:30:19.3623819Z               50 CALL_METHOD              1
2022-11-23T01:30:19.3623826Z 
2022-11-23T01:30:19.3623914Z 3383          52 BUILD_TUPLE              4
2022-11-23T01:30:19.3623988Z               54 RETURN_VALUE
2022-11-23T01:30:19.3624046Z  
2022-11-23T01:30:19.3624051Z 
2022-11-23T01:30:19.3624363Z [2022-11-23 01:22:06,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3384
2022-11-23T01:30:19.3624561Z [2022-11-23 01:22:06,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.3624799Z [2022-11-23 01:22:06,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:30:19.3625070Z [2022-11-23 01:22:06,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:30:19.3625382Z [2022-11-23 01:22:06,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:30:19.3625692Z [2022-11-23 01:22:06,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3385
2022-11-23T01:30:19.3625924Z [2022-11-23 01:22:06,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:19.3626193Z [2022-11-23 01:22:06,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3626493Z [2022-11-23 01:22:06,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:30:19.3626751Z [2022-11-23 01:22:06,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3627047Z [2022-11-23 01:22:06,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:30:19.3627359Z [2022-11-23 01:22:06,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3386
2022-11-23T01:30:19.3627617Z [2022-11-23 01:22:06,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3628040Z [2022-11-23 01:22:06,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3628405Z [2022-11-23 01:22:06,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3628807Z [2022-11-23 01:22:06,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3629280Z [2022-11-23 01:22:06,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:30:19.3629676Z [2022-11-23 01:22:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3630118Z [2022-11-23 01:22:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3630606Z [2022-11-23 01:22:06,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:19.3630946Z [2022-11-23 01:22:06,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3387
2022-11-23T01:30:19.3631247Z [2022-11-23 01:22:06,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3631689Z [2022-11-23 01:22:06,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3632095Z [2022-11-23 01:22:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3632660Z [2022-11-23 01:22:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3633174Z [2022-11-23 01:22:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3633721Z [2022-11-23 01:22:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3634386Z [2022-11-23 01:22:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:30:19.3634929Z [2022-11-23 01:22:06,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3635358Z [2022-11-23 01:22:06,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.3635670Z [2022-11-23 01:22:06,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3383
2022-11-23T01:30:19.3636015Z [2022-11-23 01:22:06,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3636260Z [2022-11-23 01:22:06,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3636632Z [2022-11-23 01:22:06,106] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e2ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3382>
2022-11-23T01:30:19.3636872Z [2022-11-23 01:22:06,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3637103Z [2022-11-23 01:22:06,106] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3637349Z [2022-11-23 01:22:06,108] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3637623Z [2022-11-23 01:22:06,115] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3637809Z [2022-11-23 01:22:06,116] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3637935Z  __compiled_fn_16 <eval_with_key>.110 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3638016Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3638139Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:30:19.3638228Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:30:19.3638320Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:30:19.3638411Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:30:19.3638643Z call_function, all_1, <built-in method all of type object at 0x7ff5d7c59c60>, (isinf_1,), {'dim': 0}
2022-11-23T01:30:19.3638735Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:30:19.3638986Z call_function, logical_not, <built-in method logical_not of type object at 0x7ff5d7c59c60>, (isinf_2,), {}
2022-11-23T01:30:19.3639209Z call_function, all_2, <built-in method all of type object at 0x7ff5d7c59c60>, (logical_not,), {}
2022-11-23T01:30:19.3639329Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:30:19.3639335Z 
2022-11-23T01:30:19.3639656Z [2022-11-23 01:22:06,116] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3639745Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3639831Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3639915Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3640008Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3640091Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3640166Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3640239Z              12 RETURN_VALUE
2022-11-23T01:30:19.3640247Z 
2022-11-23T01:30:19.3640305Z  
2022-11-23T01:30:19.3640625Z [2022-11-23 01:22:06,116] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3640733Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_16)
2022-11-23T01:30:19.3640820Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3640905Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3640980Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3641055Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3641152Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3641254Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3641340Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3641410Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3641502Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3641586Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3641649Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.3641744Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3641854Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.3641928Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.3642026Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3642105Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:19.3642172Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.3642247Z              36 BUILD_TUPLE              4
2022-11-23T01:30:19.3642316Z              38 RETURN_VALUE
2022-11-23T01:30:19.3642320Z 
2022-11-23T01:30:19.3642378Z  
2022-11-23T01:30:19.3642558Z [2022-11-23 01:22:06,117] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3642629Z  - 
2022-11-23T01:30:19.3642745Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3642802Z             {
2022-11-23T01:30:19.3642956Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3643134Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3643252Z                 'obj_weakref': None
2022-11-23T01:30:19.3643475Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3643533Z             }
2022-11-23T01:30:19.3643589Z             
2022-11-23T01:30:19.3643654Z  - 
2022-11-23T01:30:19.3643764Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3643823Z             {
2022-11-23T01:30:19.3643959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3644059Z                 'code': None,
2022-11-23T01:30:19.3644269Z                 'obj_weakref': <weakref at 0x7ff59c18cfe0; to 'Tensor' at 0x7ff5a8715170>
2022-11-23T01:30:19.3644519Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3644577Z             }
2022-11-23T01:30:19.3644629Z             
2022-11-23T01:30:19.3644690Z  - 
2022-11-23T01:30:19.3644817Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3644878Z             {
2022-11-23T01:30:19.3645007Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3645170Z                 'code': ['___check_obj_id(model, 140693066976704)'],
2022-11-23T01:30:19.3645283Z                 'obj_weakref': None
2022-11-23T01:30:19.3645502Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3645563Z             }
2022-11-23T01:30:19.3645620Z             
2022-11-23T01:30:19.3645685Z  - 
2022-11-23T01:30:19.3645797Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3645855Z             {
2022-11-23T01:30:19.3645987Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3646193Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3646302Z                 'obj_weakref': None
2022-11-23T01:30:19.3646518Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3646578Z             }
2022-11-23T01:30:19.3646640Z             
2022-11-23T01:30:19.3646703Z  - 
2022-11-23T01:30:19.3646830Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.3646880Z             {
2022-11-23T01:30:19.3646996Z                 'guard_types': None,
2022-11-23T01:30:19.3647094Z                 'code': None,
2022-11-23T01:30:19.3647208Z                 'obj_weakref': None
2022-11-23T01:30:19.3647324Z                 'guarded_class': None
2022-11-23T01:30:19.3647381Z             }
2022-11-23T01:30:19.3647439Z             
2022-11-23T01:30:19.3647683Z [2022-11-23 01:22:06,131] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 15
2022-11-23T01:30:19.3648047Z [2022-11-23 01:22:07,799] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iu/ciulwhajm6bvluxlttfinbhsf4oycyug3ijvuh4gpexmx3dkisi2.py
2022-11-23T01:30:19.3648311Z [2022-11-23 01:22:07,800] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 15
2022-11-23T01:30:19.3648317Z 
2022-11-23T01:30:19.3648474Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3648535Z import torch
2022-11-23T01:30:19.3648600Z import random
2022-11-23T01:30:19.3648712Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3648824Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3648829Z 
2022-11-23T01:30:19.3648894Z aten = torch.ops.aten
2022-11-23T01:30:19.3649019Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3649103Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3649108Z 
2022-11-23T01:30:19.3649112Z 
2022-11-23T01:30:19.3649244Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3649444Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3649581Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.3649679Z                        bool* __restrict__ in_out_ptr1,
2022-11-23T01:30:19.3649782Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3649868Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:30:19.3649952Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:30:19.3650006Z {
2022-11-23T01:30:19.3650091Z     auto out_ptr2 = in_out_ptr0;
2022-11-23T01:30:19.3650172Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T01:30:19.3650226Z     {
2022-11-23T01:30:19.3650285Z         {
2022-11-23T01:30:19.3650348Z             bool tmp2 = 0;
2022-11-23T01:30:19.3650419Z             bool tmp4 = 0;
2022-11-23T01:30:19.3650484Z             bool tmp8 = 0;
2022-11-23T01:30:19.3650553Z             bool tmp10 = 0;
2022-11-23T01:30:19.3650656Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3650717Z             {
2022-11-23T01:30:19.3650873Z                 #pragma omp for reduction(||:tmp2) reduction(||:tmp4) reduction(||:tmp8) reduction(||:tmp10) 
2022-11-23T01:30:19.3650954Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.3651015Z                 {
2022-11-23T01:30:19.3651079Z                     {
2022-11-23T01:30:19.3651168Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3651274Z                         auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:30:19.3651393Z                         auto tmp3 = std::isinf(tmp0);
2022-11-23T01:30:19.3651480Z                         auto tmp5 = tmp3 == 0;
2022-11-23T01:30:19.3651573Z                         auto tmp6 = static_cast<long>(tmp5);
2022-11-23T01:30:19.3651676Z                         auto tmp7 = static_cast<bool>(tmp6);
2022-11-23T01:30:19.3651758Z                         auto tmp9 = tmp5 == 0;
2022-11-23T01:30:19.3651844Z                         tmp2 = tmp2 || tmp1;
2022-11-23T01:30:19.3651928Z                         tmp4 = tmp4 || tmp3;
2022-11-23T01:30:19.3652004Z                         tmp8 = tmp8 || tmp7;
2022-11-23T01:30:19.3652091Z                         tmp10 = tmp10 || tmp9;
2022-11-23T01:30:19.3652145Z                     }
2022-11-23T01:30:19.3652207Z                 }
2022-11-23T01:30:19.3652268Z             }
2022-11-23T01:30:19.3652344Z             out_ptr0[0] = tmp2;
2022-11-23T01:30:19.3652415Z             out_ptr1[0] = tmp4;
2022-11-23T01:30:19.3652482Z             out_ptr2[0] = tmp8;
2022-11-23T01:30:19.3652557Z             out_ptr3[0] = tmp10;
2022-11-23T01:30:19.3652607Z         }
2022-11-23T01:30:19.3652667Z     }
2022-11-23T01:30:19.3652723Z     {
2022-11-23T01:30:19.3652783Z         {
2022-11-23T01:30:19.3652860Z             auto tmp0 = out_ptr2[0];
2022-11-23T01:30:19.3652939Z             auto tmp1 = tmp0 == 0;
2022-11-23T01:30:19.3653006Z             in_out_ptr0[0] = tmp1;
2022-11-23T01:30:19.3653070Z         }
2022-11-23T01:30:19.3653127Z     }
2022-11-23T01:30:19.3653181Z     {
2022-11-23T01:30:19.3653238Z         {
2022-11-23T01:30:19.3653324Z             auto tmp0 = out_ptr3[0];
2022-11-23T01:30:19.3653402Z             auto tmp1 = tmp0 == 0;
2022-11-23T01:30:19.3653469Z             in_out_ptr1[0] = tmp1;
2022-11-23T01:30:19.3653527Z         }
2022-11-23T01:30:19.3653628Z     }
2022-11-23T01:30:19.3653684Z }
2022-11-23T01:30:19.3653762Z ''')
2022-11-23T01:30:19.3653767Z 
2022-11-23T01:30:19.3653772Z 
2022-11-23T01:30:19.3653854Z async_compile.wait(globals())
2022-11-23T01:30:19.3653918Z del async_compile
2022-11-23T01:30:19.3653922Z 
2022-11-23T01:30:19.3653979Z def call(args):
2022-11-23T01:30:19.3654043Z     arg0_1, = args
2022-11-23T01:30:19.3654113Z     args.clear()
2022-11-23T01:30:19.3654289Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.3654464Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.3654630Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.3654800Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.3654897Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:30:19.3654980Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:30:19.3655194Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.3655261Z     del arg0_1
2022-11-23T01:30:19.3655347Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:30:19.3655353Z 
2022-11-23T01:30:19.3655357Z 
2022-11-23T01:30:19.3655430Z if __name__ == "__main__":
2022-11-23T01:30:19.3655540Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3655658Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3655840Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3655947Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3655951Z 
2022-11-23T01:30:19.3655956Z 
2022-11-23T01:30:19.3656041Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3656106Z import torch
2022-11-23T01:30:19.3656176Z import random
2022-11-23T01:30:19.3656287Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3656530Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3656537Z 
2022-11-23T01:30:19.3656611Z aten = torch.ops.aten
2022-11-23T01:30:19.3656731Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3656819Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3656824Z 
2022-11-23T01:30:19.3656828Z 
2022-11-23T01:30:19.3656958Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3657161Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3657271Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.3657370Z                        bool* __restrict__ in_out_ptr1,
2022-11-23T01:30:19.3657470Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3657567Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:30:19.3657651Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:30:19.3657710Z {
2022-11-23T01:30:19.3657789Z     auto out_ptr3 = in_out_ptr0;
2022-11-23T01:30:19.3657870Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T01:30:19.3657964Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3658020Z     {
2022-11-23T01:30:19.3658092Z         #pragma omp for 
2022-11-23T01:30:19.3658163Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.3658225Z         {
2022-11-23T01:30:19.3658284Z             {
2022-11-23T01:30:19.3658340Z                 {
2022-11-23T01:30:19.3658413Z                     bool tmp2 = 0;
2022-11-23T01:30:19.3658503Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:19.3658563Z                     {
2022-11-23T01:30:19.3658620Z                         {
2022-11-23T01:30:19.3658719Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:19.3658826Z                             auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:30:19.3658917Z                             tmp2 = tmp2 || tmp1;
2022-11-23T01:30:19.3658982Z                         }
2022-11-23T01:30:19.3659039Z                     }
2022-11-23T01:30:19.3659167Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.3659221Z                 }
2022-11-23T01:30:19.3659282Z             }
2022-11-23T01:30:19.3659346Z         }
2022-11-23T01:30:19.3659409Z     }
2022-11-23T01:30:19.3659472Z     {
2022-11-23T01:30:19.3659535Z         {
2022-11-23T01:30:19.3659597Z             bool tmp2 = 0;
2022-11-23T01:30:19.3659666Z             bool tmp5 = 0;
2022-11-23T01:30:19.3659767Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3659828Z             {
2022-11-23T01:30:19.3659946Z                 #pragma omp for reduction(||:tmp2) reduction(||:tmp5) 
2022-11-23T01:30:19.3660032Z                 for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.3660094Z                 {
2022-11-23T01:30:19.3660147Z                     {
2022-11-23T01:30:19.3660272Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3660371Z                         auto tmp1 = std::isinf(tmp0);
2022-11-23T01:30:19.3660459Z                         auto tmp3 = tmp1 == 0;
2022-11-23T01:30:19.3660546Z                         auto tmp4 = tmp3 == 0;
2022-11-23T01:30:19.3660629Z                         tmp2 = tmp2 || tmp1;
2022-11-23T01:30:19.3660719Z                         tmp5 = tmp5 || tmp4;
2022-11-23T01:30:19.3660773Z                     }
2022-11-23T01:30:19.3660832Z                 }
2022-11-23T01:30:19.3660891Z             }
2022-11-23T01:30:19.3660967Z             out_ptr1[0] = tmp2;
2022-11-23T01:30:19.3661038Z             out_ptr2[0] = tmp5;
2022-11-23T01:30:19.3661098Z         }
2022-11-23T01:30:19.3661152Z     }
2022-11-23T01:30:19.3661236Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3661293Z     {
2022-11-23T01:30:19.3661367Z         #pragma omp for 
2022-11-23T01:30:19.3661442Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3661504Z         {
2022-11-23T01:30:19.3661560Z             {
2022-11-23T01:30:19.3661612Z                 {
2022-11-23T01:30:19.3661685Z                     bool tmp5 = 0;
2022-11-23T01:30:19.3661778Z                     for(long i1=0; i1<16; i1+=1)
2022-11-23T01:30:19.3661838Z                     {
2022-11-23T01:30:19.3661902Z                         {
2022-11-23T01:30:19.3662001Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:30:19.3662101Z                             auto tmp1 = std::isinf(tmp0);
2022-11-23T01:30:19.3662181Z                             auto tmp2 = tmp1 == 0;
2022-11-23T01:30:19.3662291Z                             auto tmp3 = static_cast<long>(tmp2);
2022-11-23T01:30:19.3662396Z                             auto tmp4 = static_cast<bool>(tmp3);
2022-11-23T01:30:19.3662480Z                             tmp5 = tmp5 || tmp4;
2022-11-23T01:30:19.3662546Z                         }
2022-11-23T01:30:19.3662608Z                     }
2022-11-23T01:30:19.3662688Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:30:19.3662749Z                 }
2022-11-23T01:30:19.3662800Z             }
2022-11-23T01:30:19.3662861Z         }
2022-11-23T01:30:19.3662934Z         #pragma omp for 
2022-11-23T01:30:19.3663008Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3663065Z         {
2022-11-23T01:30:19.3663125Z             {
2022-11-23T01:30:19.3663176Z                 {
2022-11-23T01:30:19.3663265Z                     auto tmp0 = out_ptr3[i0];
2022-11-23T01:30:19.3663349Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:30:19.3663430Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.3663490Z                 }
2022-11-23T01:30:19.3663550Z             }
2022-11-23T01:30:19.3663607Z         }
2022-11-23T01:30:19.3663672Z         #pragma omp single
2022-11-23T01:30:19.3663730Z         {
2022-11-23T01:30:19.3663787Z             {
2022-11-23T01:30:19.3663851Z                 {
2022-11-23T01:30:19.3663938Z                     auto tmp0 = out_ptr2[0];
2022-11-23T01:30:19.3664024Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:30:19.3664105Z                     in_out_ptr1[0] = tmp1;
2022-11-23T01:30:19.3664155Z                 }
2022-11-23T01:30:19.3664240Z             }
2022-11-23T01:30:19.3664298Z         }
2022-11-23T01:30:19.3664358Z     }
2022-11-23T01:30:19.3664414Z }
2022-11-23T01:30:19.3664491Z ''')
2022-11-23T01:30:19.3664496Z 
2022-11-23T01:30:19.3664500Z 
2022-11-23T01:30:19.3664588Z async_compile.wait(globals())
2022-11-23T01:30:19.3664648Z del async_compile
2022-11-23T01:30:19.3664653Z 
2022-11-23T01:30:19.3664720Z def call(args):
2022-11-23T01:30:19.3664785Z     arg0_1, = args
2022-11-23T01:30:19.3664854Z     args.clear()
2022-11-23T01:30:19.3665040Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.3665211Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.3665375Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.3665547Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.3665656Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:30:19.3665740Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:30:19.3665946Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.3666010Z     del arg0_1
2022-11-23T01:30:19.3666098Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:30:19.3666103Z 
2022-11-23T01:30:19.3666107Z 
2022-11-23T01:30:19.3666180Z if __name__ == "__main__":
2022-11-23T01:30:19.3666289Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3666400Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3666595Z     arg0_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3666699Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3666704Z 
2022-11-23T01:30:19.3666769Z ok (3.276s)
2022-11-23T01:30:19.3667073Z   test_arange1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:07,805] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3667387Z [2022-11-23 01:22:07,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3667603Z [2022-11-23 01:22:07,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3667852Z [2022-11-23 01:22:07,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3668122Z [2022-11-23 01:22:07,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3668441Z [2022-11-23 01:22:07,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3668780Z [2022-11-23 01:22:07,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3669103Z [2022-11-23 01:22:07,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3669469Z [2022-11-23 01:22:07,806] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878> 
2022-11-23T01:30:19.3669562Z  879           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3669650Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:30:19.3669732Z               4 LOAD_CONST               1 (64)
2022-11-23T01:30:19.3669820Z               6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3669910Z               8 LOAD_ATTR                2 (float32)
2022-11-23T01:30:19.3669987Z              10 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3670077Z              12 LOAD_ATTR                3 (device)
2022-11-23T01:30:19.3670235Z              14 LOAD_CONST               2 (('dtype', 'device'))
2022-11-23T01:30:19.3670360Z              16 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.3670450Z              18 LOAD_METHOD              4 (view)
2022-11-23T01:30:19.3670534Z              20 LOAD_CONST               3 (8)
2022-11-23T01:30:19.3670617Z              22 LOAD_CONST               3 (8)
2022-11-23T01:30:19.3670692Z              24 CALL_METHOD              2
2022-11-23T01:30:19.3670779Z              26 STORE_FAST               1 (rng1)
2022-11-23T01:30:19.3670784Z 
2022-11-23T01:30:19.3670871Z 880          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3670957Z              30 LOAD_ATTR                1 (arange)
2022-11-23T01:30:19.3671041Z              32 LOAD_CONST               4 (10)
2022-11-23T01:30:19.3671124Z              34 LOAD_CONST               5 (18)
2022-11-23T01:30:19.3671209Z              36 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3671315Z              38 LOAD_ATTR                3 (device)
2022-11-23T01:30:19.3671463Z              40 LOAD_CONST               6 (('device',))
2022-11-23T01:30:19.3671557Z              42 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.3671643Z              44 STORE_FAST               2 (rng2)
2022-11-23T01:30:19.3671648Z 
2022-11-23T01:30:19.3671733Z 881          46 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3671818Z              48 LOAD_FAST                1 (rng1)
2022-11-23T01:30:19.3671894Z              50 BINARY_MULTIPLY
2022-11-23T01:30:19.3671983Z              52 STORE_FAST               3 (tmp)
2022-11-23T01:30:19.3671988Z 
2022-11-23T01:30:19.3672066Z 882          54 LOAD_FAST                3 (tmp)
2022-11-23T01:30:19.3672152Z              56 LOAD_FAST                3 (tmp)
2022-11-23T01:30:19.3672241Z              58 LOAD_FAST                2 (rng2)
2022-11-23T01:30:19.3672310Z              60 BINARY_ADD
2022-11-23T01:30:19.3672399Z              62 BUILD_TUPLE              2
2022-11-23T01:30:19.3672473Z              64 RETURN_VALUE
2022-11-23T01:30:19.3672530Z  
2022-11-23T01:30:19.3672534Z 
2022-11-23T01:30:19.3672852Z [2022-11-23 01:22:07,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:879
2022-11-23T01:30:19.3673059Z [2022-11-23 01:22:07,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.3673424Z [2022-11-23 01:22:07,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3673747Z [2022-11-23 01:22:07,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3674188Z [2022-11-23 01:22:07,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:19.3674707Z [2022-11-23 01:22:07,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3675102Z [2022-11-23 01:22:07,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:30:19.3675533Z [2022-11-23 01:22:07,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:30:19.3675992Z [2022-11-23 01:22:07,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:30:19.3676506Z [2022-11-23 01:22:07,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:19.3676745Z [2022-11-23 01:22:07,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:19.3677015Z [2022-11-23 01:22:07,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:19.3677316Z [2022-11-23 01:22:07,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:30:19.3677661Z [2022-11-23 01:22:07,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3677922Z [2022-11-23 01:22:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:30:19.3678232Z [2022-11-23 01:22:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:880
2022-11-23T01:30:19.3678449Z [2022-11-23 01:22:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.3678812Z [2022-11-23 01:22:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3679133Z [2022-11-23 01:22:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3679496Z [2022-11-23 01:22:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 18 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:19.3679892Z [2022-11-23 01:22:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3680319Z [2022-11-23 01:22:07,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.3680757Z [2022-11-23 01:22:07,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:30:19.3681226Z [2022-11-23 01:22:07,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:19.3681471Z [2022-11-23 01:22:07,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng2 [TensorVariable()]
2022-11-23T01:30:19.3681780Z [2022-11-23 01:22:07,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:881
2022-11-23T01:30:19.3681983Z [2022-11-23 01:22:07,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.3682211Z [2022-11-23 01:22:07,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:30:19.3682488Z [2022-11-23 01:22:07,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3682722Z [2022-11-23 01:22:07,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:30:19.3683029Z [2022-11-23 01:22:07,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:882
2022-11-23T01:30:19.3683266Z [2022-11-23 01:22:07,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:30:19.3683504Z [2022-11-23 01:22:07,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable()]
2022-11-23T01:30:19.3683771Z [2022-11-23 01:22:07,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3684064Z [2022-11-23 01:22:07,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3684326Z [2022-11-23 01:22:07,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3684554Z [2022-11-23 01:22:07,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3684928Z [2022-11-23 01:22:07,815] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19aad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 878>
2022-11-23T01:30:19.3685200Z [2022-11-23 01:22:07,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3685428Z [2022-11-23 01:22:07,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3685677Z [2022-11-23 01:22:07,816] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3685923Z [2022-11-23 01:22:07,821] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3686109Z [2022-11-23 01:22:07,822] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3686241Z  __compiled_fn_17 <eval_with_key>.116 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3686326Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3686622Z call_function, arange, <built-in method arange of type object at 0x7ff5d7c59c60>, (64,), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:30:19.3686723Z call_method, view, view, (arange, 8, 8), {}
2022-11-23T01:30:19.3686995Z call_function, arange_1, <built-in method arange of type object at 0x7ff5d7c59c60>, (10, 18), {'device': device(type='cpu')}
2022-11-23T01:30:19.3687168Z call_function, mul, <built-in function mul>, (ex_0_, view), {}
2022-11-23T01:30:19.3687345Z call_function, add, <built-in function add>, (mul, arange_1), {}
2022-11-23T01:30:19.3687443Z output, output, output, ((mul, add),), {}
2022-11-23T01:30:19.3687448Z 
2022-11-23T01:30:19.3687771Z [2022-11-23 01:22:07,822] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3687866Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3687953Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3688029Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3688116Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3688198Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3688283Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3688353Z              12 RETURN_VALUE
2022-11-23T01:30:19.3688359Z 
2022-11-23T01:30:19.3688415Z  
2022-11-23T01:30:19.3688738Z [2022-11-23 01:22:07,822] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3688840Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_17)
2022-11-23T01:30:19.3688930Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3689011Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3689090Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3689166Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3689262Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3689367Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3689454Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3689548Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3689648Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3689729Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3689791Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.3689879Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.3689946Z              26 RETURN_VALUE
2022-11-23T01:30:19.3689952Z 
2022-11-23T01:30:19.3690010Z  
2022-11-23T01:30:19.3690187Z [2022-11-23 01:22:07,823] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3690249Z  - 
2022-11-23T01:30:19.3690366Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3690418Z             {
2022-11-23T01:30:19.3690554Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3690740Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3690889Z                 'obj_weakref': None
2022-11-23T01:30:19.3691116Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3691174Z             }
2022-11-23T01:30:19.3691236Z             
2022-11-23T01:30:19.3691292Z  - 
2022-11-23T01:30:19.3691406Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:19.3691467Z             {
2022-11-23T01:30:19.3691599Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:19.3691768Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:19.3691975Z                 'obj_weakref': <weakref at 0x7ff59c1ba390; to 'Tensor' at 0x7ff5a85420c0>
2022-11-23T01:30:19.3692228Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3692279Z             }
2022-11-23T01:30:19.3692336Z             
2022-11-23T01:30:19.3692409Z  - 
2022-11-23T01:30:19.3692525Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3692589Z             {
2022-11-23T01:30:19.3692723Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3692830Z                 'code': None,
2022-11-23T01:30:19.3693028Z                 'obj_weakref': <weakref at 0x7ff59c1ba390; to 'Tensor' at 0x7ff5a85420c0>
2022-11-23T01:30:19.3693274Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3693336Z             }
2022-11-23T01:30:19.3693394Z             
2022-11-23T01:30:19.3693461Z  - 
2022-11-23T01:30:19.3693585Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3693647Z             {
2022-11-23T01:30:19.3693768Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3693931Z                 'code': ['___check_obj_id(model, 140693062684240)'],
2022-11-23T01:30:19.3694048Z                 'obj_weakref': None
2022-11-23T01:30:19.3694274Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3694340Z             }
2022-11-23T01:30:19.3694395Z             
2022-11-23T01:30:19.3694463Z  - 
2022-11-23T01:30:19.3694573Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3694629Z             {
2022-11-23T01:30:19.3694764Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3694972Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3695089Z                 'obj_weakref': None
2022-11-23T01:30:19.3695304Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3695368Z             }
2022-11-23T01:30:19.3695420Z             
2022-11-23T01:30:19.3695480Z  - 
2022-11-23T01:30:19.3695614Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.3695671Z             {
2022-11-23T01:30:19.3695790Z                 'guard_types': None,
2022-11-23T01:30:19.3695890Z                 'code': None,
2022-11-23T01:30:19.3696007Z                 'obj_weakref': None
2022-11-23T01:30:19.3696114Z                 'guarded_class': None
2022-11-23T01:30:19.3696216Z             }
2022-11-23T01:30:19.3696279Z             
2022-11-23T01:30:19.3696342Z  - 
2022-11-23T01:30:19.3696616Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:30:19.3696671Z             {
2022-11-23T01:30:19.3696808Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.3696970Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:30:19.3697087Z                 'obj_weakref': None
2022-11-23T01:30:19.3697306Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:19.3697371Z             }
2022-11-23T01:30:19.3697433Z             
2022-11-23T01:30:19.3697692Z [2022-11-23 01:22:07,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 16
2022-11-23T01:30:19.3698105Z [2022-11-23 01:22:09,568] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vf/cvfyzkotzfq4gy2kzp556kmr3z3ognp6ngphu2bzw3b555minazm.py
2022-11-23T01:30:19.3698368Z [2022-11-23 01:22:09,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 16
2022-11-23T01:30:19.3698374Z 
2022-11-23T01:30:19.3698455Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3698525Z import torch
2022-11-23T01:30:19.3698597Z import random
2022-11-23T01:30:19.3698713Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3698832Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3698838Z 
2022-11-23T01:30:19.3698918Z aten = torch.ops.aten
2022-11-23T01:30:19.3699050Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3699128Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3699133Z 
2022-11-23T01:30:19.3699150Z 
2022-11-23T01:30:19.3699270Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3699479Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3699599Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3699701Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.3699797Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.3699857Z {
2022-11-23T01:30:19.3699955Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3700003Z     {
2022-11-23T01:30:19.3700078Z         #pragma omp for 
2022-11-23T01:30:19.3700159Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.3700221Z         {
2022-11-23T01:30:19.3700284Z             {
2022-11-23T01:30:19.3700347Z                 {
2022-11-23T01:30:19.3700426Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3700529Z                     auto tmp1 = static_cast<float>(i0);
2022-11-23T01:30:19.3700618Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.3700701Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.3700768Z                 }
2022-11-23T01:30:19.3700829Z             }
2022-11-23T01:30:19.3700890Z         }
2022-11-23T01:30:19.3700956Z         #pragma omp for 
2022-11-23T01:30:19.3701035Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3701095Z         {
2022-11-23T01:30:19.3701173Z             #pragma GCC ivdep
2022-11-23T01:30:19.3701254Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:19.3701315Z             {
2022-11-23T01:30:19.3701378Z                 {
2022-11-23T01:30:19.3701431Z                     {
2022-11-23T01:30:19.3701533Z                         auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:30:19.3701641Z                         auto tmp1 = static_cast<long>(10 + i1);
2022-11-23T01:30:19.3701749Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:19.3701843Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:19.3701935Z                         out_ptr1[i1 + (8*i0)] = tmp3;
2022-11-23T01:30:19.3702002Z                     }
2022-11-23T01:30:19.3702053Z                 }
2022-11-23T01:30:19.3702114Z             }
2022-11-23T01:30:19.3702175Z         }
2022-11-23T01:30:19.3702235Z     }
2022-11-23T01:30:19.3702331Z }
2022-11-23T01:30:19.3702409Z ''')
2022-11-23T01:30:19.3702415Z 
2022-11-23T01:30:19.3702419Z 
2022-11-23T01:30:19.3702509Z async_compile.wait(globals())
2022-11-23T01:30:19.3702568Z del async_compile
2022-11-23T01:30:19.3702573Z 
2022-11-23T01:30:19.3702641Z def call(args):
2022-11-23T01:30:19.3702708Z     arg0_1, = args
2022-11-23T01:30:19.3702779Z     args.clear()
2022-11-23T01:30:19.3702973Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3703162Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3703324Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.3703391Z     del arg0_1
2022-11-23T01:30:19.3703484Z     return (buf0, buf1, )
2022-11-23T01:30:19.3703490Z 
2022-11-23T01:30:19.3703494Z 
2022-11-23T01:30:19.3703568Z if __name__ == "__main__":
2022-11-23T01:30:19.3703683Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3703807Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3703999Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3704105Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3704109Z 
2022-11-23T01:30:19.3704174Z ok (1.769s)
2022-11-23T01:30:19.3704479Z   test_arange2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3704781Z [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3704997Z [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3705249Z [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3705525Z [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3705844Z [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3706187Z [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3706505Z [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3706875Z [2022-11-23 01:22:09,574] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 887> 
2022-11-23T01:30:19.3706971Z  888           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3707062Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:30:19.3707139Z               4 LOAD_CONST               1 (8)
2022-11-23T01:30:19.3707226Z               6 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3707316Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:30:19.3707464Z              10 LOAD_CONST               2 (('device',))
2022-11-23T01:30:19.3707553Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:30:19.3707644Z              14 STORE_FAST               1 (rng1)
2022-11-23T01:30:19.3707649Z 
2022-11-23T01:30:19.3707735Z 889          16 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3707811Z              18 LOAD_FAST                1 (rng1)
2022-11-23T01:30:19.3707882Z              20 BINARY_ADD
2022-11-23T01:30:19.3707968Z              22 BUILD_TUPLE              1
2022-11-23T01:30:19.3708046Z              24 RETURN_VALUE
2022-11-23T01:30:19.3708105Z  
2022-11-23T01:30:19.3708110Z 
2022-11-23T01:30:19.3708449Z [2022-11-23 01:22:09,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:888
2022-11-23T01:30:19.3708668Z [2022-11-23 01:22:09,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.3709037Z [2022-11-23 01:22:09,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3709356Z [2022-11-23 01:22:09,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3709696Z [2022-11-23 01:22:09,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:19.3710116Z [2022-11-23 01:22:09,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.3710520Z [2022-11-23 01:22:09,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:30:19.3710960Z [2022-11-23 01:22:09,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:19.3711204Z [2022-11-23 01:22:09,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:30:19.3711514Z [2022-11-23 01:22:09,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:889
2022-11-23T01:30:19.3711720Z [2022-11-23 01:22:09,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.3711963Z [2022-11-23 01:22:09,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:30:19.3712233Z [2022-11-23 01:22:09,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3712472Z [2022-11-23 01:22:09,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.3712716Z [2022-11-23 01:22:09,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3713078Z [2022-11-23 01:22:09,578] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19ac30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 887>
2022-11-23T01:30:19.3713319Z [2022-11-23 01:22:09,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3713552Z [2022-11-23 01:22:09,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3713890Z [2022-11-23 01:22:09,579] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3714344Z [2022-11-23 01:22:09,582] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3714701Z [2022-11-23 01:22:09,582] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3714863Z  __compiled_fn_18 <eval_with_key>.122 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3714953Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3715223Z call_function, arange, <built-in method arange of type object at 0x7ff5d7c59c60>, (8,), {'device': device(type='cpu')}
2022-11-23T01:30:19.3715391Z call_function, add, <built-in function add>, (ex_0_, arange), {}
2022-11-23T01:30:19.3715485Z output, output, output, ((add,),), {}
2022-11-23T01:30:19.3715492Z 
2022-11-23T01:30:19.3715859Z [2022-11-23 01:22:09,582] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3715954Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3716044Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3716131Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3716222Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3716306Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3716381Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3716455Z              12 RETURN_VALUE
2022-11-23T01:30:19.3716460Z 
2022-11-23T01:30:19.3716521Z  
2022-11-23T01:30:19.3716839Z [2022-11-23 01:22:09,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3716944Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_18)
2022-11-23T01:30:19.3717062Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3717150Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3717215Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3717301Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3717404Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3717504Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3717590Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3717664Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3717750Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.3717823Z              20 RETURN_VALUE
2022-11-23T01:30:19.3717828Z 
2022-11-23T01:30:19.3717875Z  
2022-11-23T01:30:19.3718054Z [2022-11-23 01:22:09,583] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3718123Z  - 
2022-11-23T01:30:19.3718240Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3718305Z             {
2022-11-23T01:30:19.3718444Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3718632Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3718738Z                 'obj_weakref': None
2022-11-23T01:30:19.3718960Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3719024Z             }
2022-11-23T01:30:19.3719086Z             
2022-11-23T01:30:19.3719152Z  - 
2022-11-23T01:30:19.3719273Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:19.3719334Z             {
2022-11-23T01:30:19.3719460Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:19.3719625Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:19.3719837Z                 'obj_weakref': <weakref at 0x7ff5a8c11f30; to 'Tensor' at 0x7ff5a86c65c0>
2022-11-23T01:30:19.3720087Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3720151Z             }
2022-11-23T01:30:19.3720213Z             
2022-11-23T01:30:19.3720281Z  - 
2022-11-23T01:30:19.3720392Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3720453Z             {
2022-11-23T01:30:19.3720595Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3720700Z                 'code': None,
2022-11-23T01:30:19.3720909Z                 'obj_weakref': <weakref at 0x7ff5a8c11f30; to 'Tensor' at 0x7ff5a86c65c0>
2022-11-23T01:30:19.3721158Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3721220Z             }
2022-11-23T01:30:19.3721271Z             
2022-11-23T01:30:19.3721338Z  - 
2022-11-23T01:30:19.3721467Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3721528Z             {
2022-11-23T01:30:19.3721661Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3721832Z                 'code': ['___check_obj_id(model, 140693070727344)'],
2022-11-23T01:30:19.3721948Z                 'obj_weakref': None
2022-11-23T01:30:19.3722195Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3722258Z             }
2022-11-23T01:30:19.3722319Z             
2022-11-23T01:30:19.3722387Z  - 
2022-11-23T01:30:19.3722507Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3722567Z             {
2022-11-23T01:30:19.3722701Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3722903Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3723021Z                 'obj_weakref': None
2022-11-23T01:30:19.3723237Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3723298Z             }
2022-11-23T01:30:19.3723360Z             
2022-11-23T01:30:19.3723430Z  - 
2022-11-23T01:30:19.3723592Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.3723641Z             {
2022-11-23T01:30:19.3723758Z                 'guard_types': None,
2022-11-23T01:30:19.3723866Z                 'code': None,
2022-11-23T01:30:19.3723981Z                 'obj_weakref': None
2022-11-23T01:30:19.3724100Z                 'guarded_class': None
2022-11-23T01:30:19.3724161Z             }
2022-11-23T01:30:19.3724222Z             
2022-11-23T01:30:19.3724468Z [2022-11-23 01:22:09,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 17
2022-11-23T01:30:19.3724827Z [2022-11-23 01:22:11,126] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6a/c6a4cm4rd7r7ctiqnt2oea4chlg4pf24jrad6anl6fp422dwyzvw.py
2022-11-23T01:30:19.3725155Z [2022-11-23 01:22:11,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 17
2022-11-23T01:30:19.3725162Z 
2022-11-23T01:30:19.3725288Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3725363Z import torch
2022-11-23T01:30:19.3725431Z import random
2022-11-23T01:30:19.3725547Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3725667Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3725673Z 
2022-11-23T01:30:19.3725738Z aten = torch.ops.aten
2022-11-23T01:30:19.3725869Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3725962Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3725967Z 
2022-11-23T01:30:19.3725971Z 
2022-11-23T01:30:19.3726107Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3726311Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3726430Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.3726527Z                        long* __restrict__ out_ptr0)
2022-11-23T01:30:19.3726587Z {
2022-11-23T01:30:19.3726671Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3726731Z     {
2022-11-23T01:30:19.3726810Z         #pragma omp for 
2022-11-23T01:30:19.3726890Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3726953Z         {
2022-11-23T01:30:19.3727034Z             #pragma GCC ivdep
2022-11-23T01:30:19.3727103Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:19.3727164Z             {
2022-11-23T01:30:19.3727227Z                 {
2022-11-23T01:30:19.3727292Z                     {
2022-11-23T01:30:19.3727393Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:19.3727501Z                         auto tmp1 = static_cast<long>(i1);
2022-11-23T01:30:19.3727593Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3727676Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:30:19.3727745Z                     }
2022-11-23T01:30:19.3727808Z                 }
2022-11-23T01:30:19.3727870Z             }
2022-11-23T01:30:19.3727932Z         }
2022-11-23T01:30:19.3727991Z     }
2022-11-23T01:30:19.3728050Z }
2022-11-23T01:30:19.3728117Z ''')
2022-11-23T01:30:19.3728122Z 
2022-11-23T01:30:19.3728126Z 
2022-11-23T01:30:19.3728213Z async_compile.wait(globals())
2022-11-23T01:30:19.3728285Z del async_compile
2022-11-23T01:30:19.3728326Z 
2022-11-23T01:30:19.3728396Z def call(args):
2022-11-23T01:30:19.3728464Z     arg0_1, = args
2022-11-23T01:30:19.3728533Z     args.clear()
2022-11-23T01:30:19.3728724Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.3728844Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.3728911Z     del arg0_1
2022-11-23T01:30:19.3728980Z     return (buf0, )
2022-11-23T01:30:19.3728985Z 
2022-11-23T01:30:19.3728989Z 
2022-11-23T01:30:19.3729063Z if __name__ == "__main__":
2022-11-23T01:30:19.3729178Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3729300Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3729492Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.3729637Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3729642Z 
2022-11-23T01:30:19.3729696Z ok (1.577s)
2022-11-23T01:30:19.3730006Z   test_arange3_cpu (__main__.CpuTests) ... [2022-11-23 01:22:11,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3730324Z [2022-11-23 01:22:11,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3730544Z [2022-11-23 01:22:11,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3730797Z [2022-11-23 01:22:11,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3731073Z [2022-11-23 01:22:11,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3731393Z [2022-11-23 01:22:11,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3731745Z [2022-11-23 01:22:11,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3732070Z [2022-11-23 01:22:11,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3732446Z [2022-11-23 01:22:11,152] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894> 
2022-11-23T01:30:19.3732525Z  895           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3732625Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3732718Z               4 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.3732809Z               6 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.3732904Z               8 LOAD_ATTR                3 (arange)
2022-11-23T01:30:19.3733003Z              10 LOAD_ATTR                4 (start_step)
2022-11-23T01:30:19.3733009Z 
2022-11-23T01:30:19.3733103Z 896          12 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3733193Z              14 LOAD_CONST               2 (53)
2022-11-23T01:30:19.3733267Z              16 LOAD_CONST               3 (4)
2022-11-23T01:30:19.3733360Z              18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3733450Z              20 LOAD_ATTR                5 (int64)
2022-11-23T01:30:19.3733538Z              22 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3733629Z              24 LOAD_ATTR                6 (device)
2022-11-23T01:30:19.3733634Z 
2022-11-23T01:30:19.3733798Z 895          26 LOAD_CONST               4 (('dtype', 'device'))
2022-11-23T01:30:19.3733889Z              28 CALL_FUNCTION_KW         5
2022-11-23T01:30:19.3733964Z              30 BINARY_ADD
2022-11-23T01:30:19.3734028Z              32 RETURN_VALUE
2022-11-23T01:30:19.3734092Z  
2022-11-23T01:30:19.3734098Z 
2022-11-23T01:30:19.3734440Z [2022-11-23 01:22:11,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T01:30:19.3734652Z [2022-11-23 01:22:11,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.3734904Z [2022-11-23 01:22:11,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.3735297Z [2022-11-23 01:22:11,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3735613Z [2022-11-23 01:22:11,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TensorVariable(), TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.3735950Z [2022-11-23 01:22:11,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3736278Z [2022-11-23 01:22:11,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR start_step [TensorVariable(), TorchVariable(aten.arange)]
2022-11-23T01:30:19.3736723Z [2022-11-23 01:22:11,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:896
2022-11-23T01:30:19.3737022Z [2022-11-23 01:22:11,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.arange.start_step)]
2022-11-23T01:30:19.3737364Z [2022-11-23 01:22:11,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 53 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int)]
2022-11-23T01:30:19.3737742Z [2022-11-23 01:22:11,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3738170Z [2022-11-23 01:22:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3738745Z [2022-11-23 01:22:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3739202Z [2022-11-23 01:22:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:30:19.3739694Z [2022-11-23 01:22:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:30:19.3740011Z [2022-11-23 01:22:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:895
2022-11-23T01:30:19.3740523Z [2022-11-23 01:22:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:30:19.3741063Z [2022-11-23 01:22:11,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:19.3741335Z [2022-11-23 01:22:11,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3741585Z [2022-11-23 01:22:11,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3742031Z [2022-11-23 01:22:11,163] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19ad90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 894>
2022-11-23T01:30:19.3742278Z [2022-11-23 01:22:11,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3742500Z [2022-11-23 01:22:11,163] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3742751Z [2022-11-23 01:22:11,164] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3742997Z [2022-11-23 01:22:11,167] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3743182Z [2022-11-23 01:22:11,167] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3743391Z  __compiled_fn_19 <eval_with_key>.128 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3743482Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3743765Z call_function, arange_start_step, aten.arange.start_step, (0, 53, 4), {'dtype': torch.int64, 'device': device(type='cpu')}
2022-11-23T01:30:19.3743965Z call_function, add, <built-in function add>, (ex_0_, arange_start_step), {}
2022-11-23T01:30:19.3744059Z output, output, output, ((add,),), {}
2022-11-23T01:30:19.3744065Z 
2022-11-23T01:30:19.3744376Z [2022-11-23 01:22:11,167] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3744469Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3744559Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3744648Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3744741Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3744828Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3744915Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3744979Z              12 RETURN_VALUE
2022-11-23T01:30:19.3744997Z 
2022-11-23T01:30:19.3745047Z  
2022-11-23T01:30:19.3745367Z [2022-11-23 01:22:11,168] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3745475Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_19)
2022-11-23T01:30:19.3745565Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3745652Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3745728Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3745814Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3745892Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.3745966Z              12 RETURN_VALUE
2022-11-23T01:30:19.3745971Z 
2022-11-23T01:30:19.3746033Z  
2022-11-23T01:30:19.3746217Z [2022-11-23 01:22:11,168] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3746287Z  - 
2022-11-23T01:30:19.3746405Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3746469Z             {
2022-11-23T01:30:19.3746596Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3746780Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3746898Z                 'obj_weakref': None
2022-11-23T01:30:19.3747122Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3747187Z             }
2022-11-23T01:30:19.3747249Z             
2022-11-23T01:30:19.3747315Z  - 
2022-11-23T01:30:19.3747423Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:19.3747484Z             {
2022-11-23T01:30:19.3747621Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:19.3747786Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:19.3748000Z                 'obj_weakref': <weakref at 0x7ff5ad990f90; to 'Tensor' at 0x7ff5a86e1a30>
2022-11-23T01:30:19.3748281Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3748344Z             }
2022-11-23T01:30:19.3748394Z             
2022-11-23T01:30:19.3748461Z  - 
2022-11-23T01:30:19.3748583Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3748645Z             {
2022-11-23T01:30:19.3748786Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3748891Z                 'code': None,
2022-11-23T01:30:19.3749102Z                 'obj_weakref': <weakref at 0x7ff5ad990f90; to 'Tensor' at 0x7ff5a86e1a30>
2022-11-23T01:30:19.3749340Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3749402Z             }
2022-11-23T01:30:19.3749464Z             
2022-11-23T01:30:19.3749560Z  - 
2022-11-23T01:30:19.3749689Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3749750Z             {
2022-11-23T01:30:19.3749884Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3750042Z                 'code': ['___check_obj_id(model, 140693067310720)'],
2022-11-23T01:30:19.3750158Z                 'obj_weakref': None
2022-11-23T01:30:19.3750385Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3750448Z             }
2022-11-23T01:30:19.3750513Z             
2022-11-23T01:30:19.3750578Z  - 
2022-11-23T01:30:19.3750698Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3750748Z             {
2022-11-23T01:30:19.3750881Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3751096Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3751212Z                 'obj_weakref': None
2022-11-23T01:30:19.3751433Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3751498Z             }
2022-11-23T01:30:19.3751559Z             
2022-11-23T01:30:19.3751614Z  - 
2022-11-23T01:30:19.3751746Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.3751807Z             {
2022-11-23T01:30:19.3751924Z                 'guard_types': None,
2022-11-23T01:30:19.3752028Z                 'code': None,
2022-11-23T01:30:19.3752142Z                 'obj_weakref': None
2022-11-23T01:30:19.3752261Z                 'guarded_class': None
2022-11-23T01:30:19.3752310Z             }
2022-11-23T01:30:19.3752370Z             
2022-11-23T01:30:19.3752437Z  - 
2022-11-23T01:30:19.3752581Z             global 'torch.int64' CONSTANT_MATCH
2022-11-23T01:30:19.3752643Z             {
2022-11-23T01:30:19.3752782Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.3752946Z                 'code': ["str(torch.int64) == 'torch.int64'"],
2022-11-23T01:30:19.3753051Z                 'obj_weakref': None
2022-11-23T01:30:19.3753275Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:19.3753337Z             }
2022-11-23T01:30:19.3753404Z             
2022-11-23T01:30:19.3753664Z [2022-11-23 01:22:11,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 18
2022-11-23T01:30:19.3754098Z [2022-11-23 01:22:12,612] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2f/c2fn7oyrurllm2eg5da737ed2dhwmsvlfkoffzhqa5opnmuujgzz.py
2022-11-23T01:30:19.3754361Z [2022-11-23 01:22:12,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 18
2022-11-23T01:30:19.3754366Z 
2022-11-23T01:30:19.3754461Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3754517Z import torch
2022-11-23T01:30:19.3754587Z import random
2022-11-23T01:30:19.3754701Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3754821Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3754829Z 
2022-11-23T01:30:19.3754906Z aten = torch.ops.aten
2022-11-23T01:30:19.3755038Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3755164Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3755170Z 
2022-11-23T01:30:19.3755175Z 
2022-11-23T01:30:19.3755312Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3755503Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3755621Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3755718Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.3755779Z {
2022-11-23T01:30:19.3755875Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3755937Z     {
2022-11-23T01:30:19.3756012Z         #pragma omp for 
2022-11-23T01:30:19.3756082Z         for(long i0=0; i0<14; i0+=1)
2022-11-23T01:30:19.3756143Z         {
2022-11-23T01:30:19.3756204Z             {
2022-11-23T01:30:19.3756295Z                 {
2022-11-23T01:30:19.3756385Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3756489Z                     auto tmp1 = static_cast<long>(4*i0);
2022-11-23T01:30:19.3756596Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:19.3756674Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:19.3756756Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.3756819Z                 }
2022-11-23T01:30:19.3756880Z             }
2022-11-23T01:30:19.3756941Z         }
2022-11-23T01:30:19.3757005Z     }
2022-11-23T01:30:19.3757052Z }
2022-11-23T01:30:19.3757127Z ''')
2022-11-23T01:30:19.3757133Z 
2022-11-23T01:30:19.3757138Z 
2022-11-23T01:30:19.3757225Z async_compile.wait(globals())
2022-11-23T01:30:19.3757296Z del async_compile
2022-11-23T01:30:19.3757301Z 
2022-11-23T01:30:19.3757371Z def call(args):
2022-11-23T01:30:19.3757438Z     arg0_1, = args
2022-11-23T01:30:19.3757508Z     args.clear()
2022-11-23T01:30:19.3757704Z     buf0 = empty_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3757824Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.3757892Z     del arg0_1
2022-11-23T01:30:19.3757962Z     return (buf0, )
2022-11-23T01:30:19.3757967Z 
2022-11-23T01:30:19.3757971Z 
2022-11-23T01:30:19.3758045Z if __name__ == "__main__":
2022-11-23T01:30:19.3758160Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3758280Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3758473Z     arg0_1 = rand_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3758568Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3758585Z 
2022-11-23T01:30:19.3758640Z ok (1.466s)
2022-11-23T01:30:19.3758944Z   test_arange4_cpu (__main__.CpuTests) ... [2022-11-23 01:22:12,617] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3759258Z [2022-11-23 01:22:12,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3759477Z [2022-11-23 01:22:12,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3759728Z [2022-11-23 01:22:12,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3760002Z [2022-11-23 01:22:12,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3760320Z [2022-11-23 01:22:12,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3760662Z [2022-11-23 01:22:12,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3760982Z [2022-11-23 01:22:12,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3761385Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902> 
2022-11-23T01:30:19.3761468Z  903           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3761562Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.3761651Z               4 LOAD_ATTR                1 (arange)
2022-11-23T01:30:19.3761739Z               6 LOAD_CONST               1 (512)
2022-11-23T01:30:19.3761877Z               8 LOAD_CONST               2 (-512)
2022-11-23T01:30:19.3762012Z              10 LOAD_CONST               3 (-1.0)
2022-11-23T01:30:19.3762101Z              12 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3762177Z              14 LOAD_ATTR                2 (device)
2022-11-23T01:30:19.3762321Z              16 LOAD_CONST               4 (('device',))
2022-11-23T01:30:19.3762437Z              18 CALL_FUNCTION_KW         4
2022-11-23T01:30:19.3762515Z              20 BINARY_SUBTRACT
2022-11-23T01:30:19.3762588Z              22 RETURN_VALUE
2022-11-23T01:30:19.3762650Z  
2022-11-23T01:30:19.3762655Z 
2022-11-23T01:30:19.3762967Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:903
2022-11-23T01:30:19.3763173Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.3763409Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.3763804Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.3764158Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.3764555Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:19.3764989Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.0 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3765452Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:30:19.3765949Z [2022-11-23 01:22:12,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:19.3766466Z [2022-11-23 01:22:12,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu)]
2022-11-23T01:30:19.3767011Z [2022-11-23 01:22:12,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:19.3767287Z [2022-11-23 01:22:12,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3767534Z [2022-11-23 01:22:12,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3767942Z [2022-11-23 01:22:12,621] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19aef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 902>
2022-11-23T01:30:19.3768189Z [2022-11-23 01:22:12,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3768421Z [2022-11-23 01:22:12,621] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3768663Z [2022-11-23 01:22:12,622] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3768908Z [2022-11-23 01:22:12,625] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3769095Z [2022-11-23 01:22:12,625] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3769225Z  __compiled_fn_20 <eval_with_key>.134 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3769341Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3769630Z call_function, arange, <built-in method arange of type object at 0x7ff5d7c59c60>, (512, -512, -1.0), {'device': device(type='cpu')}
2022-11-23T01:30:19.3769805Z call_function, sub, <built-in function sub>, (ex_0_, arange), {}
2022-11-23T01:30:19.3769898Z output, output, output, ((sub,),), {}
2022-11-23T01:30:19.3769903Z 
2022-11-23T01:30:19.3770223Z [2022-11-23 01:22:12,626] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3770305Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3770396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3770484Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3770575Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3770659Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3770747Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3770820Z              12 RETURN_VALUE
2022-11-23T01:30:19.3770825Z 
2022-11-23T01:30:19.3770874Z  
2022-11-23T01:30:19.3771195Z [2022-11-23 01:22:12,626] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3771302Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_20)
2022-11-23T01:30:19.3771390Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3771477Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3771553Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3771646Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3771734Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.3771796Z              12 RETURN_VALUE
2022-11-23T01:30:19.3771801Z 
2022-11-23T01:30:19.3771859Z  
2022-11-23T01:30:19.3772039Z [2022-11-23 01:22:12,626] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3772109Z  - 
2022-11-23T01:30:19.3772225Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3772288Z             {
2022-11-23T01:30:19.3772426Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3772602Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3772721Z                 'obj_weakref': None
2022-11-23T01:30:19.3772945Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3773008Z             }
2022-11-23T01:30:19.3773071Z             
2022-11-23T01:30:19.3773137Z  - 
2022-11-23T01:30:19.3773257Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:19.3773307Z             {
2022-11-23T01:30:19.3773443Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:19.3773610Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:19.3773820Z                 'obj_weakref': <weakref at 0x7ff59c1b8400; to 'Tensor' at 0x7ff5a8c12ac0>
2022-11-23T01:30:19.3774075Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3774137Z             }
2022-11-23T01:30:19.3774225Z             
2022-11-23T01:30:19.3774282Z  - 
2022-11-23T01:30:19.3774403Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3774465Z             {
2022-11-23T01:30:19.3774605Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3774711Z                 'code': None,
2022-11-23T01:30:19.3774920Z                 'obj_weakref': <weakref at 0x7ff59c1b8400; to 'Tensor' at 0x7ff5a8c12ac0>
2022-11-23T01:30:19.3775171Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3775221Z             }
2022-11-23T01:30:19.3775282Z             
2022-11-23T01:30:19.3775349Z  - 
2022-11-23T01:30:19.3775477Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3775538Z             {
2022-11-23T01:30:19.3775701Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3775870Z                 'code': ['___check_obj_id(model, 140693070730512)'],
2022-11-23T01:30:19.3775977Z                 'obj_weakref': None
2022-11-23T01:30:19.3776204Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3776266Z             }
2022-11-23T01:30:19.3776329Z             
2022-11-23T01:30:19.3776398Z  - 
2022-11-23T01:30:19.3776640Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3776704Z             {
2022-11-23T01:30:19.3776828Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3777045Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3777164Z                 'obj_weakref': None
2022-11-23T01:30:19.3777384Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3777450Z             }
2022-11-23T01:30:19.3777517Z             
2022-11-23T01:30:19.3777587Z  - 
2022-11-23T01:30:19.3777706Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.3777771Z             {
2022-11-23T01:30:19.3777893Z                 'guard_types': None,
2022-11-23T01:30:19.3778000Z                 'code': None,
2022-11-23T01:30:19.3778118Z                 'obj_weakref': None
2022-11-23T01:30:19.3778240Z                 'guarded_class': None
2022-11-23T01:30:19.3778304Z             }
2022-11-23T01:30:19.3778354Z             
2022-11-23T01:30:19.3778613Z [2022-11-23 01:22:12,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 19
2022-11-23T01:30:19.3778983Z [2022-11-23 01:22:14,023] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dy/cdy6b43xjgwwagbi7g5svyktlft4liycw4n5mavfqzxo66ypy5tv.py
2022-11-23T01:30:19.3779248Z [2022-11-23 01:22:14,023] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 19
2022-11-23T01:30:19.3779257Z 
2022-11-23T01:30:19.3779350Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3779420Z import torch
2022-11-23T01:30:19.3779491Z import random
2022-11-23T01:30:19.3779609Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3779717Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3779723Z 
2022-11-23T01:30:19.3779802Z aten = torch.ops.aten
2022-11-23T01:30:19.3779936Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3780031Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3780036Z 
2022-11-23T01:30:19.3780040Z 
2022-11-23T01:30:19.3780174Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3780385Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3780507Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3780608Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.3780657Z {
2022-11-23T01:30:19.3780759Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3780823Z     {
2022-11-23T01:30:19.3780902Z         #pragma omp for 
2022-11-23T01:30:19.3780988Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.3781105Z         {
2022-11-23T01:30:19.3781156Z             {
2022-11-23T01:30:19.3781220Z                 {
2022-11-23T01:30:19.3781314Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3781486Z                     auto tmp1 = static_cast<long>(512 + ((-1)*i0));
2022-11-23T01:30:19.3781594Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:19.3781731Z                     auto tmp3 = tmp0 - tmp2;
2022-11-23T01:30:19.3781817Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.3781869Z                 }
2022-11-23T01:30:19.3781934Z             }
2022-11-23T01:30:19.3781998Z         }
2022-11-23T01:30:19.3782058Z     }
2022-11-23T01:30:19.3782118Z }
2022-11-23T01:30:19.3782194Z ''')
2022-11-23T01:30:19.3782199Z 
2022-11-23T01:30:19.3782204Z 
2022-11-23T01:30:19.3782347Z async_compile.wait(globals())
2022-11-23T01:30:19.3782407Z del async_compile
2022-11-23T01:30:19.3782422Z 
2022-11-23T01:30:19.3782479Z def call(args):
2022-11-23T01:30:19.3782550Z     arg0_1, = args
2022-11-23T01:30:19.3782619Z     args.clear()
2022-11-23T01:30:19.3782816Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3782949Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.3783017Z     del arg0_1
2022-11-23T01:30:19.3783086Z     return (buf0, )
2022-11-23T01:30:19.3783091Z 
2022-11-23T01:30:19.3783095Z 
2022-11-23T01:30:19.3783159Z if __name__ == "__main__":
2022-11-23T01:30:19.3783271Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3783392Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3783593Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3783699Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3783706Z 
2022-11-23T01:30:19.3783774Z ok (1.411s)
2022-11-23T01:30:19.3784093Z   test_argmax_argmin1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3784410Z [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3784615Z [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3784863Z [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3785141Z [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3785459Z [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3785808Z [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3786132Z [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3786506Z [2022-11-23 01:22:14,040] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d3520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247> 
2022-11-23T01:30:19.3786598Z  4248           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3786691Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:30:19.3786779Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3786853Z                6 CALL_METHOD              1
2022-11-23T01:30:19.3786944Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3787038Z               10 LOAD_METHOD              2 (argmin)
2022-11-23T01:30:19.3787126Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3787259Z               14 CALL_METHOD              1
2022-11-23T01:30:19.3787348Z               16 BUILD_TUPLE              2
2022-11-23T01:30:19.3787424Z               18 RETURN_VALUE
2022-11-23T01:30:19.3787472Z  
2022-11-23T01:30:19.3787476Z 
2022-11-23T01:30:19.3787791Z [2022-11-23 01:22:14,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4248
2022-11-23T01:30:19.3788006Z [2022-11-23 01:22:14,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3788313Z [2022-11-23 01:22:14,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3788564Z [2022-11-23 01:22:14,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:30:19.3788876Z [2022-11-23 01:22:14,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:30:19.3789119Z [2022-11-23 01:22:14,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.3789454Z [2022-11-23 01:22:14,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3789731Z [2022-11-23 01:22:14,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:30:19.3790040Z [2022-11-23 01:22:14,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:30:19.3790295Z [2022-11-23 01:22:14,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3790541Z [2022-11-23 01:22:14,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3790917Z [2022-11-23 01:22:14,055] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d3520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4247>
2022-11-23T01:30:19.3791215Z [2022-11-23 01:22:14,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3791448Z [2022-11-23 01:22:14,055] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3791700Z [2022-11-23 01:22:14,057] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3791946Z [2022-11-23 01:22:14,061] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3792131Z [2022-11-23 01:22:14,062] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3792267Z  __compiled_fn_21 <eval_with_key>.140 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3792343Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3792456Z call_function, argmax, aten.argmax, (ex_0_,), {}
2022-11-23T01:30:19.3792562Z call_function, argmin, aten.argmin, (ex_0_,), {}
2022-11-23T01:30:19.3792668Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:30:19.3792673Z 
2022-11-23T01:30:19.3792997Z [2022-11-23 01:22:14,062] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3793089Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3793177Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3793261Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3793339Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3793423Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3793513Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3793593Z              12 RETURN_VALUE
2022-11-23T01:30:19.3793598Z 
2022-11-23T01:30:19.3793657Z  
2022-11-23T01:30:19.3794104Z [2022-11-23 01:22:14,063] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3794214Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_21)
2022-11-23T01:30:19.3794304Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3794383Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3794462Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3794549Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3794655Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3794755Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3794843Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3794918Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3795041Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3795128Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3795204Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.3795296Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.3795372Z              26 RETURN_VALUE
2022-11-23T01:30:19.3795378Z 
2022-11-23T01:30:19.3795439Z  
2022-11-23T01:30:19.3795622Z [2022-11-23 01:22:14,064] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3795679Z  - 
2022-11-23T01:30:19.3795795Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3795859Z             {
2022-11-23T01:30:19.3795998Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3796183Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3796302Z                 'obj_weakref': None
2022-11-23T01:30:19.3796523Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3796578Z             }
2022-11-23T01:30:19.3796640Z             
2022-11-23T01:30:19.3796709Z  - 
2022-11-23T01:30:19.3796834Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3796898Z             {
2022-11-23T01:30:19.3797038Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3797143Z                 'code': None,
2022-11-23T01:30:19.3797341Z                 'obj_weakref': <weakref at 0x7ff5a80581d0; to 'Tensor' at 0x7ff5a85420c0>
2022-11-23T01:30:19.3797591Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3797654Z             }
2022-11-23T01:30:19.3797715Z             
2022-11-23T01:30:19.3797782Z  - 
2022-11-23T01:30:19.3797909Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3797971Z             {
2022-11-23T01:30:19.3798090Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3798257Z                 'code': ['___check_obj_id(model, 140693070732672)'],
2022-11-23T01:30:19.3798376Z                 'obj_weakref': None
2022-11-23T01:30:19.3798605Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3798670Z             }
2022-11-23T01:30:19.3798732Z             
2022-11-23T01:30:19.3798799Z  - 
2022-11-23T01:30:19.3798906Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3798968Z             {
2022-11-23T01:30:19.3799103Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3799319Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3799435Z                 'obj_weakref': None
2022-11-23T01:30:19.3799655Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3799717Z             }
2022-11-23T01:30:19.3799767Z             
2022-11-23T01:30:19.3799836Z  - 
2022-11-23T01:30:19.3799966Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3800030Z             {
2022-11-23T01:30:19.3800148Z                 'guard_types': None,
2022-11-23T01:30:19.3800251Z                 'code': None,
2022-11-23T01:30:19.3800403Z                 'obj_weakref': None
2022-11-23T01:30:19.3800512Z                 'guarded_class': None
2022-11-23T01:30:19.3800574Z             }
2022-11-23T01:30:19.3800635Z             
2022-11-23T01:30:19.3800892Z [2022-11-23 01:22:14,072] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 20
2022-11-23T01:30:19.3801262Z [2022-11-23 01:22:15,508] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5gr6awbytbzzo7d6buixrgd6b5ajdaakto2ucgyv6sepp4vzi7.py
2022-11-23T01:30:19.3801524Z [2022-11-23 01:22:15,508] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 20
2022-11-23T01:30:19.3801529Z 
2022-11-23T01:30:19.3801621Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3801687Z import torch
2022-11-23T01:30:19.3801743Z import random
2022-11-23T01:30:19.3801890Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3802008Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3802013Z 
2022-11-23T01:30:19.3802090Z aten = torch.ops.aten
2022-11-23T01:30:19.3802223Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3802314Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3802319Z 
2022-11-23T01:30:19.3802324Z 
2022-11-23T01:30:19.3802455Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3802657Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3802763Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3802858Z                        long* __restrict__ out_ptr0,
2022-11-23T01:30:19.3802950Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:19.3803010Z {
2022-11-23T01:30:19.3803071Z     {
2022-11-23T01:30:19.3803133Z         {
2022-11-23T01:30:19.3803251Z             struct IndexValue_1 {size_t index; float value;};
2022-11-23T01:30:19.3803501Z             IndexValue_1 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:30:19.3803638Z             #pragma omp declare reduction(argmax : struct IndexValue_1 :\
2022-11-23T01:30:19.3803787Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:19.3803932Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:19.3804163Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:30:19.3804277Z             struct IndexValue_2 {size_t index; float value;};
2022-11-23T01:30:19.3804407Z             IndexValue_2 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:30:19.3804541Z             #pragma omp declare reduction(argmin : struct IndexValue_2 :\
2022-11-23T01:30:19.3804675Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:19.3804821Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:19.3804962Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:30:19.3805066Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3805130Z             {
2022-11-23T01:30:19.3805269Z                 #pragma omp for reduction(argmax:tmp1) reduction(argmin:tmp2) 
2022-11-23T01:30:19.3805359Z                 for(long i0=0; i0<524288; i0+=1)
2022-11-23T01:30:19.3805422Z                 {
2022-11-23T01:30:19.3805478Z                     {
2022-11-23T01:30:19.3805571Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3805666Z                         if (tmp1.value < tmp0) {
2022-11-23T01:30:19.3805775Z                             tmp1.index = i0; tmp1.value = tmp0;
2022-11-23T01:30:19.3805843Z                         }
2022-11-23T01:30:19.3805933Z                         if (tmp2.value > tmp0) {
2022-11-23T01:30:19.3806041Z                             tmp2.index = i0; tmp2.value = tmp0;
2022-11-23T01:30:19.3806096Z                         }
2022-11-23T01:30:19.3806192Z                     }
2022-11-23T01:30:19.3806257Z                 }
2022-11-23T01:30:19.3806320Z             }
2022-11-23T01:30:19.3806406Z             out_ptr0[0] = tmp1.index;
2022-11-23T01:30:19.3806488Z             out_ptr1[0] = tmp2.index;
2022-11-23T01:30:19.3806550Z         }
2022-11-23T01:30:19.3806600Z     }
2022-11-23T01:30:19.3806659Z }
2022-11-23T01:30:19.3806738Z ''')
2022-11-23T01:30:19.3806743Z 
2022-11-23T01:30:19.3806748Z 
2022-11-23T01:30:19.3806836Z async_compile.wait(globals())
2022-11-23T01:30:19.3806906Z del async_compile
2022-11-23T01:30:19.3806911Z 
2022-11-23T01:30:19.3806980Z def call(args):
2022-11-23T01:30:19.3807047Z     arg0_1, = args
2022-11-23T01:30:19.3807104Z     args.clear()
2022-11-23T01:30:19.3807284Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.3807495Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.3807656Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.3807725Z     del arg0_1
2022-11-23T01:30:19.3807801Z     return (buf0, buf1, )
2022-11-23T01:30:19.3807806Z 
2022-11-23T01:30:19.3807811Z 
2022-11-23T01:30:19.3807884Z if __name__ == "__main__":
2022-11-23T01:30:19.3807998Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3808107Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3808324Z     arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3808430Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3808434Z 
2022-11-23T01:30:19.3808500Z ok (1.485s)
2022-11-23T01:30:19.3808817Z   test_argmax_argmin2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:15,514] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3809136Z [2022-11-23 01:22:15,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3809356Z [2022-11-23 01:22:15,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3809609Z [2022-11-23 01:22:15,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3809881Z [2022-11-23 01:22:15,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3810189Z [2022-11-23 01:22:15,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3810531Z [2022-11-23 01:22:15,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3810850Z [2022-11-23 01:22:15,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3811226Z [2022-11-23 01:22:15,515] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d3680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258> 
2022-11-23T01:30:19.3811321Z  4260           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3811414Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:30:19.3811502Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3811590Z                6 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3811677Z                8 CALL_METHOD              2
2022-11-23T01:30:19.3811683Z 
2022-11-23T01:30:19.3811763Z 4261          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3811854Z               12 LOAD_METHOD              2 (argmin)
2022-11-23T01:30:19.3811940Z               14 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3812030Z               16 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3812116Z               18 CALL_METHOD              2
2022-11-23T01:30:19.3812120Z 
2022-11-23T01:30:19.3812238Z 4262          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3812330Z               22 LOAD_METHOD              1 (argmax)
2022-11-23T01:30:19.3812405Z               24 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3812491Z               26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3812575Z               28 CALL_METHOD              2
2022-11-23T01:30:19.3812580Z 
2022-11-23T01:30:19.3812669Z 4263          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3812760Z               32 LOAD_METHOD              2 (argmin)
2022-11-23T01:30:19.3812846Z               34 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3812930Z               36 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3813014Z               38 CALL_METHOD              2
2022-11-23T01:30:19.3813019Z 
2022-11-23T01:30:19.3813134Z 4259          40 BUILD_TUPLE              4
2022-11-23T01:30:19.3813208Z               42 RETURN_VALUE
2022-11-23T01:30:19.3813267Z  
2022-11-23T01:30:19.3813273Z 
2022-11-23T01:30:19.3813589Z [2022-11-23 01:22:15,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4260
2022-11-23T01:30:19.3813805Z [2022-11-23 01:22:15,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3814115Z [2022-11-23 01:22:15,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3814367Z [2022-11-23 01:22:15,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:30:19.3814649Z [2022-11-23 01:22:15,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:30:19.3814966Z [2022-11-23 01:22:15,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3815265Z [2022-11-23 01:22:15,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4261
2022-11-23T01:30:19.3815508Z [2022-11-23 01:22:15,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.3815841Z [2022-11-23 01:22:15,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3816116Z [2022-11-23 01:22:15,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:30:19.3816546Z [2022-11-23 01:22:15,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:30:19.3816895Z [2022-11-23 01:22:15,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3817214Z [2022-11-23 01:22:15,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4262
2022-11-23T01:30:19.3817587Z [2022-11-23 01:22:15,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3817951Z [2022-11-23 01:22:15,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3818258Z [2022-11-23 01:22:15,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax)]
2022-11-23T01:30:19.3818601Z [2022-11-23 01:22:15,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:30:19.3819035Z [2022-11-23 01:22:15,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3819333Z [2022-11-23 01:22:15,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4263
2022-11-23T01:30:19.3819631Z [2022-11-23 01:22:15,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3820025Z [2022-11-23 01:22:15,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3820362Z [2022-11-23 01:22:15,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:30:19.3820765Z [2022-11-23 01:22:15,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:30:19.3821179Z [2022-11-23 01:22:15,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3821492Z [2022-11-23 01:22:15,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4259
2022-11-23T01:30:19.3821814Z [2022-11-23 01:22:15,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3822061Z [2022-11-23 01:22:15,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3822448Z [2022-11-23 01:22:15,546] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d3680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4258>
2022-11-23T01:30:19.3822693Z [2022-11-23 01:22:15,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3822928Z [2022-11-23 01:22:15,546] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3823170Z [2022-11-23 01:22:15,547] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3823420Z [2022-11-23 01:22:15,550] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3823611Z [2022-11-23 01:22:15,550] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3823746Z  __compiled_fn_22 <eval_with_key>.146 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3823838Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3823951Z call_function, argmax, aten.argmax, (ex_0_, 0), {}
2022-11-23T01:30:19.3824061Z call_function, argmin, aten.argmin, (ex_0_, 0), {}
2022-11-23T01:30:19.3824175Z call_function, argmax_1, aten.argmax, (ex_0_, 1), {}
2022-11-23T01:30:19.3824271Z call_function, argmin_1, aten.argmin, (ex_0_, 1), {}
2022-11-23T01:30:19.3824401Z output, output, output, ((argmax, argmin, argmax_1, argmin_1),), {}
2022-11-23T01:30:19.3824406Z 
2022-11-23T01:30:19.3824731Z [2022-11-23 01:22:15,551] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3824827Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3824920Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3825009Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3825102Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3825189Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3825267Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3825344Z              12 RETURN_VALUE
2022-11-23T01:30:19.3825349Z 
2022-11-23T01:30:19.3825414Z  
2022-11-23T01:30:19.3825801Z [2022-11-23 01:22:15,551] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3825959Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_22)
2022-11-23T01:30:19.3826059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3826151Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3826215Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3826304Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3826408Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3826509Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3826599Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3826715Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3826816Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3826905Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3826971Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.3827072Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3827160Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.3827238Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.3827338Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3827426Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:19.3827500Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.3827573Z              36 BUILD_TUPLE              4
2022-11-23T01:30:19.3827645Z              38 RETURN_VALUE
2022-11-23T01:30:19.3827650Z 
2022-11-23T01:30:19.3827709Z  
2022-11-23T01:30:19.3827895Z [2022-11-23 01:22:15,552] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3827967Z  - 
2022-11-23T01:30:19.3828084Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3828149Z             {
2022-11-23T01:30:19.3828278Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3828467Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3828587Z                 'obj_weakref': None
2022-11-23T01:30:19.3828813Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3828876Z             }
2022-11-23T01:30:19.3828938Z             
2022-11-23T01:30:19.3829005Z  - 
2022-11-23T01:30:19.3829117Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3829178Z             {
2022-11-23T01:30:19.3829318Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3829424Z                 'code': None,
2022-11-23T01:30:19.3829636Z                 'obj_weakref': <weakref at 0x7ff5a81e3ce0; to 'Tensor' at 0x7ff5a979fab0>
2022-11-23T01:30:19.3829888Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3829953Z             }
2022-11-23T01:30:19.3830004Z             
2022-11-23T01:30:19.3830075Z  - 
2022-11-23T01:30:19.3830205Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3830267Z             {
2022-11-23T01:30:19.3830399Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3830567Z                 'code': ['___check_obj_id(model, 140693070729360)'],
2022-11-23T01:30:19.3830683Z                 'obj_weakref': None
2022-11-23T01:30:19.3830900Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3830962Z             }
2022-11-23T01:30:19.3831024Z             
2022-11-23T01:30:19.3831096Z  - 
2022-11-23T01:30:19.3831215Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3831277Z             {
2022-11-23T01:30:19.3831411Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3831616Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3831732Z                 'obj_weakref': None
2022-11-23T01:30:19.3831997Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3832060Z             }
2022-11-23T01:30:19.3832122Z             
2022-11-23T01:30:19.3832189Z  - 
2022-11-23T01:30:19.3832321Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3832371Z             {
2022-11-23T01:30:19.3832488Z                 'guard_types': None,
2022-11-23T01:30:19.3832593Z                 'code': None,
2022-11-23T01:30:19.3832707Z                 'obj_weakref': None
2022-11-23T01:30:19.3832826Z                 'guarded_class': None
2022-11-23T01:30:19.3832887Z             }
2022-11-23T01:30:19.3832936Z             
2022-11-23T01:30:19.3833196Z [2022-11-23 01:22:15,558] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 21
2022-11-23T01:30:19.3833592Z [2022-11-23 01:22:17,018] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xs/cxs7bv7ulvk2dhgcdnhqun5oeyzk7u6clhovfsv3msfor2qd77w6.py
2022-11-23T01:30:19.3833931Z [2022-11-23 01:22:17,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 21
2022-11-23T01:30:19.3833938Z 
2022-11-23T01:30:19.3834032Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3834101Z import torch
2022-11-23T01:30:19.3834169Z import random
2022-11-23T01:30:19.3834283Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3834392Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3834413Z 
2022-11-23T01:30:19.3834479Z aten = torch.ops.aten
2022-11-23T01:30:19.3834611Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3834703Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3834708Z 
2022-11-23T01:30:19.3834712Z 
2022-11-23T01:30:19.3834846Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3835053Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3835173Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3835269Z                        long* __restrict__ out_ptr0,
2022-11-23T01:30:19.3835363Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.3835441Z                        long* __restrict__ out_ptr2,
2022-11-23T01:30:19.3835531Z                        long* __restrict__ out_ptr3)
2022-11-23T01:30:19.3835590Z {
2022-11-23T01:30:19.3835690Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3835751Z     {
2022-11-23T01:30:19.3835827Z         #pragma omp for 
2022-11-23T01:30:19.3835896Z         for(long i0=0; i0<144; i0+=1)
2022-11-23T01:30:19.3835957Z         {
2022-11-23T01:30:19.3836018Z             {
2022-11-23T01:30:19.3836082Z                 {
2022-11-23T01:30:19.3836200Z                     struct IndexValue_3 {size_t index; float value;};
2022-11-23T01:30:19.3836459Z                     IndexValue_3 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:30:19.3836598Z                     #pragma omp declare reduction(argmax : struct IndexValue_3 :\
2022-11-23T01:30:19.3836748Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:19.3836882Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:19.3837122Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:30:19.3837242Z                     struct IndexValue_4 {size_t index; float value;};
2022-11-23T01:30:19.3837374Z                     IndexValue_4 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:30:19.3837509Z                     #pragma omp declare reduction(argmin : struct IndexValue_4 :\
2022-11-23T01:30:19.3837657Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:19.3837803Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:19.3837979Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:30:19.3838072Z                     for(long i1=0; i1<144; i1+=1)
2022-11-23T01:30:19.3838126Z                     {
2022-11-23T01:30:19.3838194Z                         {
2022-11-23T01:30:19.3838296Z                             auto tmp0 = in_ptr0[i0 + (144*i1)];
2022-11-23T01:30:19.3838397Z                             if (tmp1.value < tmp0) {
2022-11-23T01:30:19.3838508Z                                 tmp1.index = i1; tmp1.value = tmp0;
2022-11-23T01:30:19.3838578Z                             }
2022-11-23T01:30:19.3838672Z                             if (tmp2.value > tmp0) {
2022-11-23T01:30:19.3838768Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:30:19.3838837Z                             }
2022-11-23T01:30:19.3838938Z                         }
2022-11-23T01:30:19.3839004Z                     }
2022-11-23T01:30:19.3839098Z                     out_ptr0[i0] = tmp1.index;
2022-11-23T01:30:19.3839189Z                     out_ptr1[i0] = tmp2.index;
2022-11-23T01:30:19.3839254Z                 }
2022-11-23T01:30:19.3839304Z             }
2022-11-23T01:30:19.3839366Z         }
2022-11-23T01:30:19.3839442Z         #pragma omp for 
2022-11-23T01:30:19.3839523Z         for(long i0=0; i0<144; i0+=1)
2022-11-23T01:30:19.3839584Z         {
2022-11-23T01:30:19.3839645Z             {
2022-11-23T01:30:19.3839697Z                 {
2022-11-23T01:30:19.3839817Z                     struct IndexValue_5 {size_t index; float value;};
2022-11-23T01:30:19.3840046Z                     IndexValue_5 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:30:19.3840183Z                     #pragma omp declare reduction(argmax : struct IndexValue_5 :\
2022-11-23T01:30:19.3840332Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:19.3840484Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:19.3840721Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:30:19.3840841Z                     struct IndexValue_6 {size_t index; float value;};
2022-11-23T01:30:19.3840974Z                     IndexValue_6 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:30:19.3841097Z                     #pragma omp declare reduction(argmin : struct IndexValue_6 :\
2022-11-23T01:30:19.3841244Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:19.3841387Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:19.3841528Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:30:19.3841622Z                     for(long i1=0; i1<144; i1+=1)
2022-11-23T01:30:19.3841689Z                     {
2022-11-23T01:30:19.3841756Z                         {
2022-11-23T01:30:19.3841859Z                             auto tmp0 = in_ptr0[i1 + (144*i0)];
2022-11-23T01:30:19.3841943Z                             if (tmp1.value < tmp0) {
2022-11-23T01:30:19.3842051Z                                 tmp1.index = i1; tmp1.value = tmp0;
2022-11-23T01:30:19.3842122Z                             }
2022-11-23T01:30:19.3842216Z                             if (tmp2.value > tmp0) {
2022-11-23T01:30:19.3842325Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:30:19.3842396Z                             }
2022-11-23T01:30:19.3842463Z                         }
2022-11-23T01:30:19.3842517Z                     }
2022-11-23T01:30:19.3842610Z                     out_ptr2[i0] = tmp1.index;
2022-11-23T01:30:19.3842700Z                     out_ptr3[i0] = tmp2.index;
2022-11-23T01:30:19.3842767Z                 }
2022-11-23T01:30:19.3842829Z             }
2022-11-23T01:30:19.3842891Z         }
2022-11-23T01:30:19.3842951Z     }
2022-11-23T01:30:19.3842998Z }
2022-11-23T01:30:19.3843141Z ''')
2022-11-23T01:30:19.3843149Z 
2022-11-23T01:30:19.3843154Z 
2022-11-23T01:30:19.3843243Z async_compile.wait(globals())
2022-11-23T01:30:19.3843315Z del async_compile
2022-11-23T01:30:19.3843320Z 
2022-11-23T01:30:19.3843389Z def call(args):
2022-11-23T01:30:19.3843457Z     arg0_1, = args
2022-11-23T01:30:19.3843526Z     args.clear()
2022-11-23T01:30:19.3843709Z     buf0 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.3843898Z     buf1 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.3844083Z     buf2 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.3844267Z     buf3 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.3844477Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:19.3844573Z     del arg0_1
2022-11-23T01:30:19.3844661Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:30:19.3844666Z 
2022-11-23T01:30:19.3844671Z 
2022-11-23T01:30:19.3844746Z if __name__ == "__main__":
2022-11-23T01:30:19.3844848Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3844969Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3845175Z     arg0_1 = rand_strided((144, 144), (144, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3845281Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3845285Z 
2022-11-23T01:30:19.3845350Z ok (1.510s)
2022-11-23T01:30:19.3845466Z   test_argmax_argmin3_cpu (__main__.CpuTests) ... skip: 
2022-11-23T01:30:19.3845619Z         FIXME: In the case of having equally max/min elements, our implementation returns
2022-11-23T01:30:19.3845723Z         the last index instead of the first one
2022-11-23T01:30:19.3845779Z          (0.001s)
2022-11-23T01:30:19.3846091Z   test_as_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:22:17,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3846409Z [2022-11-23 01:22:17,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3846627Z [2022-11-23 01:22:17,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3846878Z [2022-11-23 01:22:17,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3847154Z [2022-11-23 01:22:17,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3847471Z [2022-11-23 01:22:17,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3847816Z [2022-11-23 01:22:17,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3848137Z [2022-11-23 01:22:17,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3848509Z [2022-11-23 01:22:17,026] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d05b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605> 
2022-11-23T01:30:19.3848591Z  3607           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3848690Z                2 LOAD_METHOD              1 (as_strided)
2022-11-23T01:30:19.3848779Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3848870Z                6 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:30:19.3848968Z                8 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:30:19.3849059Z               10 LOAD_CONST               3 (0)
2022-11-23T01:30:19.3849145Z               12 CALL_METHOD              4
2022-11-23T01:30:19.3849151Z 
2022-11-23T01:30:19.3849271Z 3608          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3849356Z               16 LOAD_METHOD              1 (as_strided)
2022-11-23T01:30:19.3849446Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3849536Z               20 LOAD_CONST               4 (1)
2022-11-23T01:30:19.3849609Z               22 BINARY_ADD
2022-11-23T01:30:19.3849701Z               24 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:30:19.3849795Z               26 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:30:19.3849879Z               28 LOAD_CONST               3 (0)
2022-11-23T01:30:19.3849954Z               30 CALL_METHOD              4
2022-11-23T01:30:19.3850040Z               32 LOAD_CONST               5 (2)
2022-11-23T01:30:19.3850114Z               34 BINARY_ADD
2022-11-23T01:30:19.3850145Z 
2022-11-23T01:30:19.3850234Z 3606          36 BUILD_TUPLE              2
2022-11-23T01:30:19.3850309Z               38 RETURN_VALUE
2022-11-23T01:30:19.3850369Z  
2022-11-23T01:30:19.3850376Z 
2022-11-23T01:30:19.3850693Z [2022-11-23 01:22:17,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3607
2022-11-23T01:30:19.3850911Z [2022-11-23 01:22:17,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3851211Z [2022-11-23 01:22:17,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3851466Z [2022-11-23 01:22:17,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.as_strided)]
2022-11-23T01:30:19.3851756Z [2022-11-23 01:22:17,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:30:19.3852095Z [2022-11-23 01:22:17,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.3852462Z [2022-11-23 01:22:17,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:30:19.3852875Z [2022-11-23 01:22:17,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:30:19.3853185Z [2022-11-23 01:22:17,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3608
2022-11-23T01:30:19.3853426Z [2022-11-23 01:22:17,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.3853762Z [2022-11-23 01:22:17,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3854046Z [2022-11-23 01:22:17,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.as_strided)]
2022-11-23T01:30:19.3854359Z [2022-11-23 01:22:17,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:30:19.3854714Z [2022-11-23 01:22:17,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3855020Z [2022-11-23 01:22:17,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:30:19.3855382Z [2022-11-23 01:22:17,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.3855804Z [2022-11-23 01:22:17,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:30:19.3856246Z [2022-11-23 01:22:17,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:30:19.3856621Z [2022-11-23 01:22:17,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3856932Z [2022-11-23 01:22:17,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3857243Z [2022-11-23 01:22:17,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3606
2022-11-23T01:30:19.3857565Z [2022-11-23 01:22:17,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3857810Z [2022-11-23 01:22:17,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3858187Z [2022-11-23 01:22:17,042] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d05b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3605>
2022-11-23T01:30:19.3858429Z [2022-11-23 01:22:17,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.3858660Z [2022-11-23 01:22:17,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3858899Z [2022-11-23 01:22:17,043] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3859151Z [2022-11-23 01:22:17,047] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3859341Z [2022-11-23 01:22:17,048] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3859476Z  __compiled_fn_23 <eval_with_key>.152 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3859566Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3859701Z call_function, as_strided, aten.as_strided, (ex_0_, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:30:19.3859875Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.3860010Z call_function, as_strided_1, aten.as_strided, (add, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:30:19.3860183Z call_function, add_1, <built-in function add>, (as_strided_1, 2), {}
2022-11-23T01:30:19.3860291Z output, output, output, ((as_strided, add_1),), {}
2022-11-23T01:30:19.3860297Z 
2022-11-23T01:30:19.3860619Z [2022-11-23 01:22:17,048] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3860715Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3860808Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3860894Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3860984Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3861070Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3861146Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3861224Z              12 RETURN_VALUE
2022-11-23T01:30:19.3861229Z 
2022-11-23T01:30:19.3861292Z  
2022-11-23T01:30:19.3861617Z [2022-11-23 01:22:17,048] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3861728Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_23)
2022-11-23T01:30:19.3861818Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3861911Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3861975Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3862066Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3862207Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.3862311Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3862402Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3862481Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.3862582Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.3862670Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3862734Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.3862823Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.3862900Z              26 RETURN_VALUE
2022-11-23T01:30:19.3862906Z 
2022-11-23T01:30:19.3862969Z  
2022-11-23T01:30:19.3863155Z [2022-11-23 01:22:17,049] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3863254Z  - 
2022-11-23T01:30:19.3863376Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3863428Z             {
2022-11-23T01:30:19.3863571Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3863760Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3863881Z                 'obj_weakref': None
2022-11-23T01:30:19.3864107Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3864174Z             }
2022-11-23T01:30:19.3864238Z             
2022-11-23T01:30:19.3864294Z  - 
2022-11-23T01:30:19.3864418Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3864482Z             {
2022-11-23T01:30:19.3864625Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3864733Z                 'code': None,
2022-11-23T01:30:19.3864952Z                 'obj_weakref': <weakref at 0x7ff59c1bbf10; to 'Tensor' at 0x7ff5a979fab0>
2022-11-23T01:30:19.3865208Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3865261Z             }
2022-11-23T01:30:19.3865326Z             
2022-11-23T01:30:19.3865398Z  - 
2022-11-23T01:30:19.3865530Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3865594Z             {
2022-11-23T01:30:19.3865728Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3865896Z                 'code': ['___check_obj_id(model, 140693087474384)'],
2022-11-23T01:30:19.3866001Z                 'obj_weakref': None
2022-11-23T01:30:19.3866231Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3866299Z             }
2022-11-23T01:30:19.3866361Z             
2022-11-23T01:30:19.3866432Z  - 
2022-11-23T01:30:19.3866554Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3866621Z             {
2022-11-23T01:30:19.3866744Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3866964Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3867083Z                 'obj_weakref': None
2022-11-23T01:30:19.3867306Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3867370Z             }
2022-11-23T01:30:19.3867430Z             
2022-11-23T01:30:19.3867497Z  - 
2022-11-23T01:30:19.3867614Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3867676Z             {
2022-11-23T01:30:19.3867793Z                 'guard_types': None,
2022-11-23T01:30:19.3867897Z                 'code': None,
2022-11-23T01:30:19.3868011Z                 'obj_weakref': None
2022-11-23T01:30:19.3868131Z                 'guarded_class': None
2022-11-23T01:30:19.3868181Z             }
2022-11-23T01:30:19.3868243Z             
2022-11-23T01:30:19.3868498Z [2022-11-23 01:22:17,055] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 22
2022-11-23T01:30:19.3868868Z [2022-11-23 01:22:18,476] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/r3/cr3jeuuutokasx4hmv7i7efbpnqpf4avkw4xx34l25twsd6ti6k6.py
2022-11-23T01:30:19.3869158Z [2022-11-23 01:22:18,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 22
2022-11-23T01:30:19.3869165Z 
2022-11-23T01:30:19.3869259Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3869327Z import torch
2022-11-23T01:30:19.3869394Z import random
2022-11-23T01:30:19.3869495Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3869613Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3869619Z 
2022-11-23T01:30:19.3869695Z aten = torch.ops.aten
2022-11-23T01:30:19.3869829Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3869920Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3869925Z 
2022-11-23T01:30:19.3869929Z 
2022-11-23T01:30:19.3870065Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3870297Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3870415Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.3870524Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:30:19.3870572Z {
2022-11-23T01:30:19.3870668Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3870729Z     {
2022-11-23T01:30:19.3870805Z         #pragma omp for 
2022-11-23T01:30:19.3870885Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:30:19.3870946Z         {
2022-11-23T01:30:19.3871071Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.3871202Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.3871284Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3871412Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.3871496Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.3871592Z             tmp4.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.3871654Z         }
2022-11-23T01:30:19.3871747Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3871821Z         for(long i0=4096; i0<4096; i0+=1)
2022-11-23T01:30:19.3871882Z         {
2022-11-23T01:30:19.3871964Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3872062Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.3872145Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.3872240Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:30:19.3872322Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.3872391Z             in_out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.3872453Z         }
2022-11-23T01:30:19.3872512Z     }
2022-11-23T01:30:19.3872572Z }
2022-11-23T01:30:19.3872650Z ''')
2022-11-23T01:30:19.3872655Z 
2022-11-23T01:30:19.3872659Z 
2022-11-23T01:30:19.3872745Z async_compile.wait(globals())
2022-11-23T01:30:19.3872817Z del async_compile
2022-11-23T01:30:19.3872824Z 
2022-11-23T01:30:19.3872881Z def call(args):
2022-11-23T01:30:19.3872949Z     arg0_1, = args
2022-11-23T01:30:19.3873018Z     args.clear()
2022-11-23T01:30:19.3873219Z     buf0 = empty_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3873334Z     buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0  # reuse
2022-11-23T01:30:19.3873462Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:30:19.3873570Z     return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, )
2022-11-23T01:30:19.3873575Z 
2022-11-23T01:30:19.3873579Z 
2022-11-23T01:30:19.3873653Z if __name__ == "__main__":
2022-11-23T01:30:19.3873753Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3873967Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3874176Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3874284Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3874291Z 
2022-11-23T01:30:19.3874359Z ok (1.457s)
2022-11-23T01:30:19.3874738Z   test_as_strided_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:22:18,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3875054Z [2022-11-23 01:22:18,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3875270Z [2022-11-23 01:22:18,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3875511Z [2022-11-23 01:22:18,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3875786Z [2022-11-23 01:22:18,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3876104Z [2022-11-23 01:22:18,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3876483Z [2022-11-23 01:22:18,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3876807Z [2022-11-23 01:22:18,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3877180Z [2022-11-23 01:22:18,484] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d0710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614> 
2022-11-23T01:30:19.3877275Z  3615           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3877381Z                2 LOAD_ATTR                1 (as_strided_scatter)
2022-11-23T01:30:19.3877386Z 
2022-11-23T01:30:19.3877476Z 3616           4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.3877571Z                6 LOAD_CONST               1 (8)
2022-11-23T01:30:19.3877640Z                8 BINARY_MULTIPLY
2022-11-23T01:30:19.3877734Z               10 LOAD_CONST               2 (10)
2022-11-23T01:30:19.3877807Z               12 BINARY_ADD
2022-11-23T01:30:19.3877812Z 
2022-11-23T01:30:19.3877901Z 3617          14 LOAD_FAST                1 (b)
2022-11-23T01:30:19.3877987Z               16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.3878066Z               18 BINARY_MULTIPLY
2022-11-23T01:30:19.3878151Z               20 LOAD_CONST               4 (4)
2022-11-23T01:30:19.3878216Z               22 BINARY_SUBTRACT
2022-11-23T01:30:19.3878233Z 
2022-11-23T01:30:19.3878306Z 3618          24 LOAD_FAST                0 (a)
2022-11-23T01:30:19.3878398Z               26 LOAD_ATTR                2 (shape)
2022-11-23T01:30:19.3878483Z               28 LOAD_CONST               5 (0)
2022-11-23T01:30:19.3878558Z               30 BINARY_SUBSCR
2022-11-23T01:30:19.3878642Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.3878732Z               34 LOAD_ATTR                2 (shape)
2022-11-23T01:30:19.3878818Z               36 LOAD_CONST               6 (1)
2022-11-23T01:30:19.3878881Z               38 BINARY_SUBSCR
2022-11-23T01:30:19.3878968Z               40 LOAD_CONST               3 (2)
2022-11-23T01:30:19.3879050Z               42 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.3879137Z               44 BUILD_TUPLE              2
2022-11-23T01:30:19.3879142Z 
2022-11-23T01:30:19.3879225Z 3619          46 LOAD_FAST                0 (a)
2022-11-23T01:30:19.3879313Z               48 LOAD_ATTR                2 (shape)
2022-11-23T01:30:19.3879398Z               50 LOAD_CONST               6 (1)
2022-11-23T01:30:19.3879460Z               52 BINARY_SUBSCR
2022-11-23T01:30:19.3879543Z               54 LOAD_CONST               3 (2)
2022-11-23T01:30:19.3879631Z               56 BUILD_TUPLE              2
2022-11-23T01:30:19.3879635Z 
2022-11-23T01:30:19.3879720Z 3620          58 LOAD_CONST               5 (0)
2022-11-23T01:30:19.3879724Z 
2022-11-23T01:30:19.3879915Z 3615          60 LOAD_CONST               7 (('size', 'stride', 'storage_offset'))
2022-11-23T01:30:19.3880007Z               62 CALL_FUNCTION_KW         5
2022-11-23T01:30:19.3880080Z               64 RETURN_VALUE
2022-11-23T01:30:19.3880172Z  
2022-11-23T01:30:19.3880177Z 
2022-11-23T01:30:19.3880478Z [2022-11-23 01:22:18,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T01:30:19.3880691Z [2022-11-23 01:22:18,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3881014Z [2022-11-23 01:22:18,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3881324Z [2022-11-23 01:22:18,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3616
2022-11-23T01:30:19.3881593Z [2022-11-23 01:22:18,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter)]
2022-11-23T01:30:19.3881920Z [2022-11-23 01:22:18,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:30:19.3882275Z [2022-11-23 01:22:18,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3882576Z [2022-11-23 01:22:18,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:30:19.3882913Z [2022-11-23 01:22:18,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3883222Z [2022-11-23 01:22:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3617
2022-11-23T01:30:19.3883515Z [2022-11-23 01:22:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:30:19.3883829Z [2022-11-23 01:22:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3884205Z [2022-11-23 01:22:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3884530Z [2022-11-23 01:22:18,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3884901Z [2022-11-23 01:22:18,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3885210Z [2022-11-23 01:22:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3618
2022-11-23T01:30:19.3885536Z [2022-11-23 01:22:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3885895Z [2022-11-23 01:22:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.3886246Z [2022-11-23 01:22:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable()]
2022-11-23T01:30:19.3886645Z [2022-11-23 01:22:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3887000Z [2022-11-23 01:22:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3887425Z [2022-11-23 01:22:18,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.3887812Z [2022-11-23 01:22:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable()]
2022-11-23T01:30:19.3888252Z [2022-11-23 01:22:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3888648Z [2022-11-23 01:22:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3889124Z [2022-11-23 01:22:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3889525Z [2022-11-23 01:22:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3889835Z [2022-11-23 01:22:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3619
2022-11-23T01:30:19.3890185Z [2022-11-23 01:22:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:19.3890570Z [2022-11-23 01:22:18,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:30:19.3890952Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable()]
2022-11-23T01:30:19.3891378Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3891763Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3892190Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3892506Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3620
2022-11-23T01:30:19.3892882Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:30:19.3893190Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3615
2022-11-23T01:30:19.3893656Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('size', 'stride', 'storage_offset') [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3894153Z [2022-11-23 01:22:18,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:19.3894400Z [2022-11-23 01:22:18,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3894765Z [2022-11-23 01:22:18,497] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d0710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3614>
2022-11-23T01:30:19.3895011Z [2022-11-23 01:22:18,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3895244Z [2022-11-23 01:22:18,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3895495Z [2022-11-23 01:22:18,498] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3895777Z [2022-11-23 01:22:18,503] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3895967Z [2022-11-23 01:22:18,503] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3896099Z  __compiled_fn_24 <eval_with_key>.158 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3896188Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3896273Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.3896548Z call_function, mul, <built-in function mul>, (ex_0_, 8), {}
2022-11-23T01:30:19.3896719Z call_function, add, <built-in function add>, (mul, 10), {}
2022-11-23T01:30:19.3896892Z call_function, mul_1, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:30:19.3897061Z call_function, sub, <built-in function sub>, (mul_1, 4), {}
2022-11-23T01:30:19.3897343Z call_function, as_strided_scatter, aten.as_strided_scatter, (add, sub), {'size': (10, 512), 'stride': (1024, 2), 'storage_offset': 0}
2022-11-23T01:30:19.3897462Z output, output, output, ((as_strided_scatter,),), {}
2022-11-23T01:30:19.3897468Z 
2022-11-23T01:30:19.3897794Z [2022-11-23 01:22:18,503] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3897889Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3897967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3898054Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3898146Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3898231Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3898318Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3898395Z              12 RETURN_VALUE
2022-11-23T01:30:19.3898400Z 
2022-11-23T01:30:19.3898460Z  
2022-11-23T01:30:19.3898782Z [2022-11-23 01:22:18,503] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3898880Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_24)
2022-11-23T01:30:19.3898968Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3899062Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3899139Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3899226Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3899311Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.3899385Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.3899460Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.3899549Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.3899622Z              18 RETURN_VALUE
2022-11-23T01:30:19.3899627Z 
2022-11-23T01:30:19.3899686Z  
2022-11-23T01:30:19.3899866Z [2022-11-23 01:22:18,504] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3899935Z  - 
2022-11-23T01:30:19.3900052Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3900103Z             {
2022-11-23T01:30:19.3900244Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3900431Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.3900601Z                 'obj_weakref': None
2022-11-23T01:30:19.3900825Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3900888Z             }
2022-11-23T01:30:19.3900950Z             
2022-11-23T01:30:19.3901006Z  - 
2022-11-23T01:30:19.3901125Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:19.3901187Z             {
2022-11-23T01:30:19.3901324Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:19.3901491Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:19.3901702Z                 'obj_weakref': <weakref at 0x7ff5a81e20c0; to 'Tensor' at 0x7ff5ad97a980>
2022-11-23T01:30:19.3901957Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3902058Z             }
2022-11-23T01:30:19.3902108Z             
2022-11-23T01:30:19.3902177Z  - 
2022-11-23T01:30:19.3902300Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3902366Z             {
2022-11-23T01:30:19.3902508Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3902615Z                 'code': None,
2022-11-23T01:30:19.3902814Z                 'obj_weakref': <weakref at 0x7ff5a81e20c0; to 'Tensor' at 0x7ff5ad97a980>
2022-11-23T01:30:19.3903066Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3903128Z             }
2022-11-23T01:30:19.3903189Z             
2022-11-23T01:30:19.3903256Z  - 
2022-11-23T01:30:19.3903377Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.3903439Z             {
2022-11-23T01:30:19.3903567Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3903672Z                 'code': None,
2022-11-23T01:30:19.3903883Z                 'obj_weakref': <weakref at 0x7ff5a81e1e90; to 'Tensor' at 0x7ff5a83c4f90>
2022-11-23T01:30:19.3904133Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3904195Z             }
2022-11-23T01:30:19.3904256Z             
2022-11-23T01:30:19.3904324Z  - 
2022-11-23T01:30:19.3904440Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3904502Z             {
2022-11-23T01:30:19.3904634Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3904800Z                 'code': ['___check_obj_id(model, 140693065977136)'],
2022-11-23T01:30:19.3904917Z                 'obj_weakref': None
2022-11-23T01:30:19.3905144Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3905207Z             }
2022-11-23T01:30:19.3905257Z             
2022-11-23T01:30:19.3905324Z  - 
2022-11-23T01:30:19.3905444Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3905508Z             {
2022-11-23T01:30:19.3905642Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3905859Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3905976Z                 'obj_weakref': None
2022-11-23T01:30:19.3906181Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3906243Z             }
2022-11-23T01:30:19.3906306Z             
2022-11-23T01:30:19.3906377Z  - 
2022-11-23T01:30:19.3906508Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3906572Z             {
2022-11-23T01:30:19.3906692Z                 'guard_types': None,
2022-11-23T01:30:19.3906785Z                 'code': None,
2022-11-23T01:30:19.3906901Z                 'obj_weakref': None
2022-11-23T01:30:19.3907023Z                 'guarded_class': None
2022-11-23T01:30:19.3907089Z             }
2022-11-23T01:30:19.3907154Z             
2022-11-23T01:30:19.3907414Z [2022-11-23 01:22:18,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 23
2022-11-23T01:30:19.3907819Z [2022-11-23 01:22:19,917] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfepfmkjhckpxmmp7n7o7ygjhv5jpp5zsffi534fy5htvqgufjiu.py
2022-11-23T01:30:19.3908084Z [2022-11-23 01:22:19,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 23
2022-11-23T01:30:19.3908089Z 
2022-11-23T01:30:19.3908170Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3908245Z import torch
2022-11-23T01:30:19.3908317Z import random
2022-11-23T01:30:19.3908434Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3908555Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3908560Z 
2022-11-23T01:30:19.3908639Z aten = torch.ops.aten
2022-11-23T01:30:19.3908774Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3908855Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3908905Z 
2022-11-23T01:30:19.3908910Z 
2022-11-23T01:30:19.3909030Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3909240Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3909361Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3909465Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.3909565Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.3909627Z {
2022-11-23T01:30:19.3909725Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3909774Z     {
2022-11-23T01:30:19.3909852Z         #pragma omp for 
2022-11-23T01:30:19.3909937Z         for(long i0=0; i0<1280; i0+=1)
2022-11-23T01:30:19.3910002Z         {
2022-11-23T01:30:19.3910143Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.3910276Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:30:19.3910365Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.3910500Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:30:19.3910574Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.3910666Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.3910731Z         }
2022-11-23T01:30:19.3910826Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.3910917Z         for(long i0=10240; i0<10240; i0+=1)
2022-11-23T01:30:19.3910981Z         {
2022-11-23T01:30:19.3911051Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.3911152Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:30:19.3911236Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.3911335Z             auto tmp3 = static_cast<float>(10);
2022-11-23T01:30:19.3911419Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.3911502Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.3911569Z         }
2022-11-23T01:30:19.3911633Z         #pragma omp for 
2022-11-23T01:30:19.3911718Z         for(long i0=0; i0<5120; i0+=1)
2022-11-23T01:30:19.3911778Z         {
2022-11-23T01:30:19.3911842Z             {
2022-11-23T01:30:19.3911913Z                 {
2022-11-23T01:30:19.3912004Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:19.3912108Z                     auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.3912186Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.3912289Z                     auto tmp3 = static_cast<float>(4);
2022-11-23T01:30:19.3912425Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:30:19.3912512Z                     out_ptr0[2*i0] = tmp4;
2022-11-23T01:30:19.3912576Z                 }
2022-11-23T01:30:19.3912637Z             }
2022-11-23T01:30:19.3912698Z         }
2022-11-23T01:30:19.3912748Z     }
2022-11-23T01:30:19.3912805Z }
2022-11-23T01:30:19.3912882Z ''')
2022-11-23T01:30:19.3912887Z 
2022-11-23T01:30:19.3912891Z 
2022-11-23T01:30:19.3912980Z async_compile.wait(globals())
2022-11-23T01:30:19.3913058Z del async_compile
2022-11-23T01:30:19.3913063Z 
2022-11-23T01:30:19.3913132Z def call(args):
2022-11-23T01:30:19.3913205Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.3913298Z     args.clear()
2022-11-23T01:30:19.3913505Z     buf0 = empty_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3913665Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.3913737Z     del arg0_1
2022-11-23T01:30:19.3913874Z     del arg1_1
2022-11-23T01:30:19.3913948Z     return (buf0, )
2022-11-23T01:30:19.3913954Z 
2022-11-23T01:30:19.3913958Z 
2022-11-23T01:30:19.3914033Z if __name__ == "__main__":
2022-11-23T01:30:19.3914145Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3914255Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3914469Z     arg0_1 = rand_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3914707Z     arg1_1 = rand_strided((10, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3914821Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.3914827Z 
2022-11-23T01:30:19.3914895Z ok (1.440s)
2022-11-23T01:30:19.3915204Z   test_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:19,922] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3915521Z [2022-11-23 01:22:19,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3915737Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3915988Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3916253Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3916576Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3916920Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3917241Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3917613Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011> 
2022-11-23T01:30:19.3917708Z  2012           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3917809Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:30:19.3917904Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3917996Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:19.3918073Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:19.3918162Z               10 BUILD_LIST               2
2022-11-23T01:30:19.3918250Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3918336Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3918425Z               16 BUILD_LIST               2
2022-11-23T01:30:19.3918511Z               18 CALL_METHOD              3
2022-11-23T01:30:19.3918585Z               20 RETURN_VALUE
2022-11-23T01:30:19.3918634Z  
2022-11-23T01:30:19.3918639Z 
2022-11-23T01:30:19.3918950Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2012
2022-11-23T01:30:19.3919167Z [2022-11-23 01:22:19,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3919479Z [2022-11-23 01:22:19,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3919780Z [2022-11-23 01:22:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:30:19.3920068Z [2022-11-23 01:22:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3920392Z [2022-11-23 01:22:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3920748Z [2022-11-23 01:22:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3921055Z [2022-11-23 01:22:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.3921430Z [2022-11-23 01:22:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3921819Z [2022-11-23 01:22:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3922143Z [2022-11-23 01:22:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.3922391Z [2022-11-23 01:22:19,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3922768Z [2022-11-23 01:22:19,931] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2011>
2022-11-23T01:30:19.3923012Z [2022-11-23 01:22:19,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3923247Z [2022-11-23 01:22:19,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3923500Z [2022-11-23 01:22:19,932] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3923748Z [2022-11-23 01:22:19,935] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3923935Z [2022-11-23 01:22:19,935] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3924069Z  __compiled_fn_25 <eval_with_key>.164 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3924146Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3924273Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:30:19.3924377Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:30:19.3924383Z 
2022-11-23T01:30:19.3924707Z [2022-11-23 01:22:19,935] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3924802Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3924894Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3924979Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3925069Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3925143Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3925228Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3925301Z              12 RETURN_VALUE
2022-11-23T01:30:19.3925306Z 
2022-11-23T01:30:19.3925366Z  
2022-11-23T01:30:19.3925683Z [2022-11-23 01:22:19,935] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3925789Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_25)
2022-11-23T01:30:19.3925877Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3925970Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3926034Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3926157Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3926247Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.3926320Z              12 RETURN_VALUE
2022-11-23T01:30:19.3926326Z 
2022-11-23T01:30:19.3926384Z  
2022-11-23T01:30:19.3926565Z [2022-11-23 01:22:19,936] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3926632Z  - 
2022-11-23T01:30:19.3926739Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3926802Z             {
2022-11-23T01:30:19.3926940Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3927125Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3927243Z                 'obj_weakref': None
2022-11-23T01:30:19.3927467Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3927559Z             }
2022-11-23T01:30:19.3927608Z             
2022-11-23T01:30:19.3927681Z  - 
2022-11-23T01:30:19.3927803Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3927867Z             {
2022-11-23T01:30:19.3928007Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3928112Z                 'code': None,
2022-11-23T01:30:19.3928325Z                 'obj_weakref': <weakref at 0x7ff59c205a30; to 'Tensor' at 0x7ff5a979fab0>
2022-11-23T01:30:19.3928564Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3928629Z             }
2022-11-23T01:30:19.3928691Z             
2022-11-23T01:30:19.3928759Z  - 
2022-11-23T01:30:19.3928887Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3928948Z             {
2022-11-23T01:30:19.3929079Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3929235Z                 'code': ['___check_obj_id(model, 140693070726768)'],
2022-11-23T01:30:19.3929354Z                 'obj_weakref': None
2022-11-23T01:30:19.3929579Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3929640Z             }
2022-11-23T01:30:19.3929702Z             
2022-11-23T01:30:19.3929769Z  - 
2022-11-23T01:30:19.3929888Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3929937Z             {
2022-11-23T01:30:19.3930070Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3930284Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3930399Z                 'obj_weakref': None
2022-11-23T01:30:19.3930617Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3930678Z             }
2022-11-23T01:30:19.3930740Z             
2022-11-23T01:30:19.3930796Z  - 
2022-11-23T01:30:19.3930924Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3930988Z             {
2022-11-23T01:30:19.3931107Z                 'guard_types': None,
2022-11-23T01:30:19.3931212Z                 'code': None,
2022-11-23T01:30:19.3931329Z                 'obj_weakref': None
2022-11-23T01:30:19.3931447Z                 'guarded_class': None
2022-11-23T01:30:19.3931497Z             }
2022-11-23T01:30:19.3931558Z             
2022-11-23T01:30:19.3931814Z [2022-11-23 01:22:19,940] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 24
2022-11-23T01:30:19.3932175Z [2022-11-23 01:22:21,423] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3t/c3tfdlu2n7htvebmhpi76qnyel3mvgalq5yo3wxm6v3xdjd6cmqv.py
2022-11-23T01:30:19.3932435Z [2022-11-23 01:22:21,423] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 24
2022-11-23T01:30:19.3932440Z 
2022-11-23T01:30:19.3932532Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3932599Z import torch
2022-11-23T01:30:19.3932669Z import random
2022-11-23T01:30:19.3932772Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3932891Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3932927Z 
2022-11-23T01:30:19.3933005Z aten = torch.ops.aten
2022-11-23T01:30:19.3933138Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3933231Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3933236Z 
2022-11-23T01:30:19.3933240Z 
2022-11-23T01:30:19.3933559Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3933753Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3933939Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3934068Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.3934159Z {
2022-11-23T01:30:19.3934298Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3934389Z     {
2022-11-23T01:30:19.3934495Z         #pragma omp for 
2022-11-23T01:30:19.3934594Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.3934689Z         {
2022-11-23T01:30:19.3934825Z             #pragma GCC ivdep
2022-11-23T01:30:19.3934945Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:30:19.3935038Z             {
2022-11-23T01:30:19.3935155Z                 #pragma GCC ivdep
2022-11-23T01:30:19.3935273Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:30:19.3935326Z                 {
2022-11-23T01:30:19.3935423Z                     {
2022-11-23T01:30:19.3935520Z                         {
2022-11-23T01:30:19.3935661Z                             auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3935858Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3935997Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3936147Z                             auto tmp5 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3936246Z                             auto tmp7 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3936379Z                             auto tmp9 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3936691Z                             auto tmp11 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3936866Z                             auto tmp13 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3937003Z                             auto tmp15 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:19.3937129Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:30:19.3937288Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:30:19.3937419Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:30:19.3937497Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:30:19.3937621Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:30:19.3937748Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:30:19.3937879Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:30:19.3938004Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:30:19.3938154Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:30:19.3938309Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:30:19.3938401Z                             out_ptr0[i2 + (7*i1) + (49*i0)] = tmp18;
2022-11-23T01:30:19.3938528Z                         }
2022-11-23T01:30:19.3938623Z                     }
2022-11-23T01:30:19.3938716Z                 }
2022-11-23T01:30:19.3938810Z             }
2022-11-23T01:30:19.3938901Z         }
2022-11-23T01:30:19.3938992Z     }
2022-11-23T01:30:19.3939039Z }
2022-11-23T01:30:19.3939164Z ''')
2022-11-23T01:30:19.3939170Z 
2022-11-23T01:30:19.3939174Z 
2022-11-23T01:30:19.3939302Z async_compile.wait(globals())
2022-11-23T01:30:19.3939424Z del async_compile
2022-11-23T01:30:19.3939429Z 
2022-11-23T01:30:19.3939533Z def call(args):
2022-11-23T01:30:19.3939630Z     arg0_1, = args
2022-11-23T01:30:19.3939732Z     args.clear()
2022-11-23T01:30:19.3940007Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3940174Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.3940280Z     del arg0_1
2022-11-23T01:30:19.3940409Z     return (buf0, )
2022-11-23T01:30:19.3940415Z 
2022-11-23T01:30:19.3940418Z 
2022-11-23T01:30:19.3940522Z if __name__ == "__main__":
2022-11-23T01:30:19.3940690Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3940843Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3941097Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3941193Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3941241Z 
2022-11-23T01:30:19.3941297Z ok (1.505s)
2022-11-23T01:30:19.3941690Z   test_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:21,486] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3942037Z [2022-11-23 01:22:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3942283Z [2022-11-23 01:22:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3942562Z [2022-11-23 01:22:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3942889Z [2022-11-23 01:22:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3943240Z [2022-11-23 01:22:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3943613Z [2022-11-23 01:22:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3943972Z [2022-11-23 01:22:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3944336Z [2022-11-23 01:22:21,487] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020> 
2022-11-23T01:30:19.3944461Z  2021           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3944622Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:30:19.3944744Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3944862Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:19.3945002Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:19.3945118Z               10 BUILD_LIST               2
2022-11-23T01:30:19.3945242Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3945319Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3945433Z               16 BUILD_LIST               2
2022-11-23T01:30:19.3945550Z               18 CALL_METHOD              3
2022-11-23T01:30:19.3945654Z               20 RETURN_VALUE
2022-11-23T01:30:19.3945744Z  
2022-11-23T01:30:19.3945750Z 
2022-11-23T01:30:19.3946096Z [2022-11-23 01:22:21,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2021
2022-11-23T01:30:19.3946363Z [2022-11-23 01:22:21,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3946715Z [2022-11-23 01:22:21,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3946960Z [2022-11-23 01:22:21,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:30:19.3947279Z [2022-11-23 01:22:21,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3947666Z [2022-11-23 01:22:21,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3948086Z [2022-11-23 01:22:21,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3948423Z [2022-11-23 01:22:21,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.3948797Z [2022-11-23 01:22:21,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3949220Z [2022-11-23 01:22:21,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3949660Z [2022-11-23 01:22:21,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.3949936Z [2022-11-23 01:22:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3950344Z [2022-11-23 01:22:21,495] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2020>
2022-11-23T01:30:19.3950618Z [2022-11-23 01:22:21,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3950839Z [2022-11-23 01:22:21,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3951123Z [2022-11-23 01:22:21,497] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3951403Z [2022-11-23 01:22:21,499] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3951628Z [2022-11-23 01:22:21,500] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3951791Z  __compiled_fn_26 <eval_with_key>.170 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3951931Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3952090Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:30:19.3952226Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:30:19.3952232Z 
2022-11-23T01:30:19.3952621Z [2022-11-23 01:22:21,500] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3952703Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3952822Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3952947Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3953067Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3953184Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3953320Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3953426Z              12 RETURN_VALUE
2022-11-23T01:30:19.3953431Z 
2022-11-23T01:30:19.3953479Z  
2022-11-23T01:30:19.3953928Z [2022-11-23 01:22:21,500] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3954075Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_26)
2022-11-23T01:30:19.3954203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3954326Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.3954432Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.3954549Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.3954694Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.3954756Z              12 RETURN_VALUE
2022-11-23T01:30:19.3954761Z 
2022-11-23T01:30:19.3954852Z  
2022-11-23T01:30:19.3955141Z [2022-11-23 01:22:21,501] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.3955245Z  - 
2022-11-23T01:30:19.3955394Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.3955489Z             {
2022-11-23T01:30:19.3955661Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.3955835Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.3955987Z                 'obj_weakref': None
2022-11-23T01:30:19.3956263Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.3956365Z             }
2022-11-23T01:30:19.3956459Z             
2022-11-23T01:30:19.3956558Z  - 
2022-11-23T01:30:19.3956712Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.3956763Z             {
2022-11-23T01:30:19.3956964Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.3957103Z                 'code': None,
2022-11-23T01:30:19.3957348Z                 'obj_weakref': <weakref at 0x7ff59c14a4d0; to 'Tensor' at 0x7ff5a97cd800>
2022-11-23T01:30:19.3957659Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.3957787Z             }
2022-11-23T01:30:19.3957877Z             
2022-11-23T01:30:19.3957934Z  - 
2022-11-23T01:30:19.3958095Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.3958191Z             {
2022-11-23T01:30:19.3958353Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.3958552Z                 'code': ['___check_obj_id(model, 140693065981024)'],
2022-11-23T01:30:19.3958708Z                 'obj_weakref': None
2022-11-23T01:30:19.3958990Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.3959041Z             }
2022-11-23T01:30:19.3959135Z             
2022-11-23T01:30:19.3959232Z  - 
2022-11-23T01:30:19.3959384Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.3959478Z             {
2022-11-23T01:30:19.3959645Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.3959899Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.3960005Z                 'obj_weakref': None
2022-11-23T01:30:19.3960255Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.3960366Z             }
2022-11-23T01:30:19.3960487Z             
2022-11-23T01:30:19.3960585Z  - 
2022-11-23T01:30:19.3960750Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.3960841Z             {
2022-11-23T01:30:19.3960947Z                 'guard_types': None,
2022-11-23T01:30:19.3961090Z                 'code': None,
2022-11-23T01:30:19.3961236Z                 'obj_weakref': None
2022-11-23T01:30:19.3961388Z                 'guarded_class': None
2022-11-23T01:30:19.3961500Z             }
2022-11-23T01:30:19.3961592Z             
2022-11-23T01:30:19.3961883Z [2022-11-23 01:22:21,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 25
2022-11-23T01:30:19.3962233Z [2022-11-23 01:22:22,991] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/as/casx3wk3iu3u2f44uci2nu47lfusrip5rjku5jgfxbsakjze7bht.py
2022-11-23T01:30:19.3962527Z [2022-11-23 01:22:22,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 25
2022-11-23T01:30:19.3962532Z 
2022-11-23T01:30:19.3962661Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.3962762Z import torch
2022-11-23T01:30:19.3962863Z import random
2022-11-23T01:30:19.3963008Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.3963207Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.3963213Z 
2022-11-23T01:30:19.3963321Z aten = torch.ops.aten
2022-11-23T01:30:19.3963446Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.3963565Z async_compile = AsyncCompile()
2022-11-23T01:30:19.3963570Z 
2022-11-23T01:30:19.3963575Z 
2022-11-23T01:30:19.3963773Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.3964009Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.3964158Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.3964289Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.3964381Z {
2022-11-23T01:30:19.3964529Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.3964579Z     {
2022-11-23T01:30:19.3964692Z         #pragma omp for 
2022-11-23T01:30:19.3964805Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.3964895Z         {
2022-11-23T01:30:19.3965006Z             #pragma GCC ivdep
2022-11-23T01:30:19.3965120Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:30:19.3965203Z             {
2022-11-23T01:30:19.3965314Z                 #pragma GCC ivdep
2022-11-23T01:30:19.3965464Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:30:19.3965585Z                 {
2022-11-23T01:30:19.3965685Z                     {
2022-11-23T01:30:19.3965783Z                         {
2022-11-23T01:30:19.3965924Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3966027Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3966167Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3966309Z                             auto tmp5 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3966447Z                             auto tmp7 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3966593Z                             auto tmp9 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3966756Z                             auto tmp11 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3966902Z                             auto tmp13 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3967046Z                             auto tmp15 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:19.3967170Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:30:19.3967252Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:30:19.3967371Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:30:19.3967491Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:30:19.3967649Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:30:19.3967773Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:30:19.3967916Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:30:19.3968043Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:30:19.3968149Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:30:19.3968275Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:30:19.3968410Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp18;
2022-11-23T01:30:19.3968508Z                         }
2022-11-23T01:30:19.3968611Z                     }
2022-11-23T01:30:19.3968705Z                 }
2022-11-23T01:30:19.3968797Z             }
2022-11-23T01:30:19.3968847Z         }
2022-11-23T01:30:19.3968958Z     }
2022-11-23T01:30:19.3969049Z }
2022-11-23T01:30:19.3969161Z ''')
2022-11-23T01:30:19.3969166Z 
2022-11-23T01:30:19.3969171Z 
2022-11-23T01:30:19.3969288Z async_compile.wait(globals())
2022-11-23T01:30:19.3969399Z del async_compile
2022-11-23T01:30:19.3969404Z 
2022-11-23T01:30:19.3969504Z def call(args):
2022-11-23T01:30:19.3969560Z     arg0_1, = args
2022-11-23T01:30:19.3969689Z     args.clear()
2022-11-23T01:30:19.3969941Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3970133Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.3970231Z     del arg0_1
2022-11-23T01:30:19.3970331Z     return (buf0, )
2022-11-23T01:30:19.3970381Z 
2022-11-23T01:30:19.3970386Z 
2022-11-23T01:30:19.3970493Z if __name__ == "__main__":
2022-11-23T01:30:19.3970634Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.3970744Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.3971000Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.3971137Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.3971142Z 
2022-11-23T01:30:19.3971237Z ok (1.582s)
2022-11-23T01:30:19.3971602Z   test_avg_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:22:23,010] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.3971958Z [2022-11-23 01:22:23,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.3972238Z [2022-11-23 01:22:23,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.3972522Z [2022-11-23 01:22:23,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.3972858Z [2022-11-23 01:22:23,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.3973165Z [2022-11-23 01:22:23,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3973541Z [2022-11-23 01:22:23,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3973890Z [2022-11-23 01:22:23,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.3974297Z [2022-11-23 01:22:23,011] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029> 
2022-11-23T01:30:19.3974452Z  2030           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.3974582Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:30:19.3974702Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.3974820Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:19.3974938Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:19.3975014Z               10 BUILD_LIST               2
2022-11-23T01:30:19.3975131Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3975244Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:19.3975370Z               16 BUILD_LIST               2
2022-11-23T01:30:19.3975503Z               18 LOAD_CONST               3 (1)
2022-11-23T01:30:19.3975625Z               20 LOAD_CONST               3 (1)
2022-11-23T01:30:19.3975741Z               22 BUILD_LIST               2
2022-11-23T01:30:19.3975819Z               24 CALL_METHOD              4
2022-11-23T01:30:19.3975922Z               26 RETURN_VALUE
2022-11-23T01:30:19.3976044Z  
2022-11-23T01:30:19.3976050Z 
2022-11-23T01:30:19.3976396Z [2022-11-23 01:22:23,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2030
2022-11-23T01:30:19.3976782Z [2022-11-23 01:22:23,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.3977131Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.3977440Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:30:19.3977760Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.3978170Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3978523Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3978860Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.3979242Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3979657Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3980056Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.3980455Z [2022-11-23 01:22:23,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.3980915Z [2022-11-23 01:22:23,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.3981309Z [2022-11-23 01:22:23,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.3981617Z [2022-11-23 01:22:23,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3982035Z [2022-11-23 01:22:23,022] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2029>
2022-11-23T01:30:19.3982308Z [2022-11-23 01:22:23,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.3982575Z [2022-11-23 01:22:23,022] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.3982815Z [2022-11-23 01:22:23,023] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.3983093Z [2022-11-23 01:22:23,025] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.3983311Z [2022-11-23 01:22:23,025] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.3983497Z  __compiled_fn_27 <eval_with_key>.176 opcode, name, target, args, kwargs
2022-11-23T01:30:19.3983615Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.3983787Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:30:19.3983924Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:30:19.3983930Z 
2022-11-23T01:30:19.3984288Z [2022-11-23 01:22:23,026] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3984408Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.3984487Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.3984601Z               4 BUILD_MAP                0
2022-11-23T01:30:19.3984722Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.3984856Z               8 DICT_MERGE               1
2022-11-23T01:30:19.3984980Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.3985119Z              12 RETURN_VALUE
2022-11-23T01:30:19.3985124Z 
2022-11-23T01:30:19.3985216Z  
2022-11-23T01:30:19.3985557Z [2022-11-23 01:22:23,026] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.3985700Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_27)
2022-11-23T01:30:19.3985817Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4005363Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4005578Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4005677Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4005779Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4005859Z              12 RETURN_VALUE
2022-11-23T01:30:19.4005868Z 
2022-11-23T01:30:19.4005932Z  
2022-11-23T01:30:19.4006185Z [2022-11-23 01:22:23,026] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4006259Z  - 
2022-11-23T01:30:19.4006386Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4006567Z             {
2022-11-23T01:30:19.4006700Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4006900Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4007024Z                 'obj_weakref': None
2022-11-23T01:30:19.4007255Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4007326Z             }
2022-11-23T01:30:19.4007392Z             
2022-11-23T01:30:19.4007465Z  - 
2022-11-23T01:30:19.4007578Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4007645Z             {
2022-11-23T01:30:19.4007790Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4007902Z                 'code': None,
2022-11-23T01:30:19.4008118Z                 'obj_weakref': <weakref at 0x7ff59c1ecfe0; to 'Tensor' at 0x7ff5a83753a0>
2022-11-23T01:30:19.4008372Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4008441Z             }
2022-11-23T01:30:19.4008494Z             
2022-11-23T01:30:19.4008565Z  - 
2022-11-23T01:30:19.4008703Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4008767Z             {
2022-11-23T01:30:19.4008907Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4009083Z                 'code': ['___check_obj_id(model, 140693156177104)'],
2022-11-23T01:30:19.4009205Z                 'obj_weakref': None
2022-11-23T01:30:19.4009425Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4009497Z             }
2022-11-23T01:30:19.4009566Z             
2022-11-23T01:30:19.4009637Z  - 
2022-11-23T01:30:19.4009761Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4009829Z             {
2022-11-23T01:30:19.4009974Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4010181Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4010306Z                 'obj_weakref': None
2022-11-23T01:30:19.4010530Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4010596Z             }
2022-11-23T01:30:19.4010661Z             
2022-11-23T01:30:19.4010732Z  - 
2022-11-23T01:30:19.4010865Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4010917Z             {
2022-11-23T01:30:19.4011039Z                 'guard_types': None,
2022-11-23T01:30:19.4011147Z                 'code': None,
2022-11-23T01:30:19.4011267Z                 'obj_weakref': None
2022-11-23T01:30:19.4011407Z                 'guarded_class': None
2022-11-23T01:30:19.4011489Z             }
2022-11-23T01:30:19.4011553Z             
2022-11-23T01:30:19.4011801Z [2022-11-23 01:22:23,031] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 26
2022-11-23T01:30:19.4012170Z [2022-11-23 01:22:24,515] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/72/c72i6chx6frqp7sbe3tkoqjirev6xsjes36gnirjur2s5paoxanu.py
2022-11-23T01:30:19.4012498Z [2022-11-23 01:22:24,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 26
2022-11-23T01:30:19.4012504Z 
2022-11-23T01:30:19.4012602Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4012672Z import torch
2022-11-23T01:30:19.4012761Z import random
2022-11-23T01:30:19.4012877Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4012999Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4013004Z 
2022-11-23T01:30:19.4013071Z aten = torch.ops.aten
2022-11-23T01:30:19.4013207Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4013302Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4013308Z 
2022-11-23T01:30:19.4013312Z 
2022-11-23T01:30:19.4013467Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4013674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4013842Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4013947Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4014011Z {
2022-11-23T01:30:19.4014114Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4014177Z     {
2022-11-23T01:30:19.4014257Z         #pragma omp for 
2022-11-23T01:30:19.4014341Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.4014407Z         {
2022-11-23T01:30:19.4014489Z             #pragma GCC ivdep
2022-11-23T01:30:19.4014572Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.4014625Z             {
2022-11-23T01:30:19.4014694Z                 {
2022-11-23T01:30:19.4014780Z                     {
2022-11-23T01:30:19.4014955Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:30:19.4015061Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:19.4015159Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:19.4015269Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:30:19.4015367Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:19.4015482Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:30:19.4015659Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:30:19.4015757Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:30:19.4015852Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:30:19.4015944Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:30:19.4016039Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:30:19.4016117Z                         float tmp11 = 0.0;
2022-11-23T01:30:19.4016199Z                         if(tmp10)
2022-11-23T01:30:19.4016270Z                         {
2022-11-23T01:30:19.4016668Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4016758Z                             tmp11 = tmp12;
2022-11-23T01:30:19.4016833Z                         }
2022-11-23T01:30:19.4016947Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:30:19.4017034Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:30:19.4017129Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:30:19.4017226Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:30:19.4017321Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:30:19.4017408Z                         float tmp18 = 0.0;
2022-11-23T01:30:19.4017487Z                         if(tmp17)
2022-11-23T01:30:19.4017558Z                         {
2022-11-23T01:30:19.4017722Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4017808Z                             tmp18 = tmp19;
2022-11-23T01:30:19.4017897Z                         }
2022-11-23T01:30:19.4018014Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:30:19.4018146Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:30:19.4018258Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:30:19.4018426Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:30:19.4018525Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:30:19.4018622Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:30:19.4018743Z                         float tmp26 = 0.0;
2022-11-23T01:30:19.4018840Z                         if(tmp25)
2022-11-23T01:30:19.4018929Z                         {
2022-11-23T01:30:19.4019142Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4019230Z                             tmp26 = tmp27;
2022-11-23T01:30:19.4019300Z                         }
2022-11-23T01:30:19.4019383Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:30:19.4019493Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:30:19.4019588Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:30:19.4019721Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:30:19.4019815Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:30:19.4019910Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:30:19.4019998Z                         float tmp34 = 0.0;
2022-11-23T01:30:19.4020062Z                         if(tmp33)
2022-11-23T01:30:19.4020133Z                         {
2022-11-23T01:30:19.4020310Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4020394Z                             tmp34 = tmp35;
2022-11-23T01:30:19.4020465Z                         }
2022-11-23T01:30:19.4020559Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:30:19.4020654Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:30:19.4020729Z                         float tmp38 = 0.0;
2022-11-23T01:30:19.4020806Z                         if(tmp37)
2022-11-23T01:30:19.4020879Z                         {
2022-11-23T01:30:19.4020987Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:30:19.4021071Z                             tmp38 = tmp39;
2022-11-23T01:30:19.4021142Z                         }
2022-11-23T01:30:19.4021236Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:30:19.4021316Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:30:19.4021401Z                         float tmp42 = 0.0;
2022-11-23T01:30:19.4021478Z                         if(tmp41)
2022-11-23T01:30:19.4021549Z                         {
2022-11-23T01:30:19.4021658Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4021743Z                             tmp42 = tmp43;
2022-11-23T01:30:19.4021812Z                         }
2022-11-23T01:30:19.4021896Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:30:19.4022008Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:30:19.4022105Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:30:19.4022201Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:30:19.4022294Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:30:19.4022387Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:30:19.4022474Z                         float tmp50 = 0.0;
2022-11-23T01:30:19.4022552Z                         if(tmp49)
2022-11-23T01:30:19.4022609Z                         {
2022-11-23T01:30:19.4022717Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4022803Z                             tmp50 = tmp51;
2022-11-23T01:30:19.4022874Z                         }
2022-11-23T01:30:19.4022968Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:30:19.4023060Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:30:19.4023146Z                         float tmp54 = 0.0;
2022-11-23T01:30:19.4023210Z                         if(tmp53)
2022-11-23T01:30:19.4043934Z                         {
2022-11-23T01:30:19.4044086Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4044244Z                             tmp54 = tmp55;
2022-11-23T01:30:19.4044316Z                         }
2022-11-23T01:30:19.4044414Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:30:19.4044509Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:30:19.4044581Z                         float tmp58 = 0.0;
2022-11-23T01:30:19.4044656Z                         if(tmp57)
2022-11-23T01:30:19.4044729Z                         {
2022-11-23T01:30:19.4044854Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4044960Z                             tmp58 = tmp59;
2022-11-23T01:30:19.4045031Z                         }
2022-11-23T01:30:19.4045130Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:30:19.4045256Z                         auto tmp61 = static_cast<float>(0.1111111111111111);
2022-11-23T01:30:19.4045430Z                         auto tmp62 = tmp60 * tmp61;
2022-11-23T01:30:19.4045532Z                         out_ptr0[i1 + (4*i0)] = tmp62;
2022-11-23T01:30:19.4045638Z                     }
2022-11-23T01:30:19.4052084Z                 }
2022-11-23T01:30:19.4052170Z             }
2022-11-23T01:30:19.4052234Z         }
2022-11-23T01:30:19.4052283Z     }
2022-11-23T01:30:19.4052343Z }
2022-11-23T01:30:19.4052451Z ''')
2022-11-23T01:30:19.4052457Z 
2022-11-23T01:30:19.4052461Z 
2022-11-23T01:30:19.4052554Z async_compile.wait(globals())
2022-11-23T01:30:19.4052630Z del async_compile
2022-11-23T01:30:19.4052635Z 
2022-11-23T01:30:19.4052704Z def call(args):
2022-11-23T01:30:19.4052773Z     arg0_1, = args
2022-11-23T01:30:19.4052830Z     args.clear()
2022-11-23T01:30:19.4053052Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4053186Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4053260Z     del arg0_1
2022-11-23T01:30:19.4053331Z     return (buf0, )
2022-11-23T01:30:19.4053336Z 
2022-11-23T01:30:19.4053340Z 
2022-11-23T01:30:19.4053418Z if __name__ == "__main__":
2022-11-23T01:30:19.4053533Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4053656Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4053860Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4053968Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4053973Z 
2022-11-23T01:30:19.4054040Z ok (1.510s)
2022-11-23T01:30:19.4054360Z   test_avg_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:22:24,523] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4054678Z [2022-11-23 01:22:24,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4054899Z [2022-11-23 01:22:24,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4055155Z [2022-11-23 01:22:24,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4055437Z [2022-11-23 01:22:24,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4055757Z [2022-11-23 01:22:24,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4056095Z [2022-11-23 01:22:24,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4056595Z [2022-11-23 01:22:24,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4056975Z [2022-11-23 01:22:24,524] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038> 
2022-11-23T01:30:19.4057141Z  2039           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4057244Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:30:19.4057338Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4057430Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4057522Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4057611Z               10 BUILD_LIST               2
2022-11-23T01:30:19.4057687Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4057774Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4057860Z               16 BUILD_LIST               2
2022-11-23T01:30:19.4057948Z               18 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4058034Z               20 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4058157Z               22 BUILD_LIST               2
2022-11-23T01:30:19.4058251Z               24 LOAD_CONST               4 (True)
2022-11-23T01:30:19.4058328Z               26 CALL_METHOD              5
2022-11-23T01:30:19.4058405Z               28 RETURN_VALUE
2022-11-23T01:30:19.4058468Z  
2022-11-23T01:30:19.4058474Z 
2022-11-23T01:30:19.4058796Z [2022-11-23 01:22:24,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2039
2022-11-23T01:30:19.4059015Z [2022-11-23 01:22:24,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4059332Z [2022-11-23 01:22:24,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4059595Z [2022-11-23 01:22:24,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:30:19.4059886Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.4060218Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4060566Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4060879Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4061228Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4061617Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4061957Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4062329Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4062740Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4063103Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4063513Z [2022-11-23 01:22:24,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.4063801Z [2022-11-23 01:22:24,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4064188Z [2022-11-23 01:22:24,532] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2038>
2022-11-23T01:30:19.4064438Z [2022-11-23 01:22:24,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4064677Z [2022-11-23 01:22:24,532] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4064920Z [2022-11-23 01:22:24,533] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4065172Z [2022-11-23 01:22:24,536] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4065393Z [2022-11-23 01:22:24,536] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4065533Z  __compiled_fn_28 <eval_with_key>.182 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4065622Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4065761Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [0, 0], True), {}
2022-11-23T01:30:19.4065867Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:30:19.4065872Z 
2022-11-23T01:30:19.4066198Z [2022-11-23 01:22:24,536] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4066279Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4066371Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4066459Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4066552Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4066637Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4066724Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4066805Z              12 RETURN_VALUE
2022-11-23T01:30:19.4066811Z 
2022-11-23T01:30:19.4066874Z  
2022-11-23T01:30:19.4067182Z [2022-11-23 01:22:24,536] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4067290Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_28)
2022-11-23T01:30:19.4067383Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4067472Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4067547Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4067633Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4067722Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4067785Z              12 RETURN_VALUE
2022-11-23T01:30:19.4067791Z 
2022-11-23T01:30:19.4067852Z  
2022-11-23T01:30:19.4068035Z [2022-11-23 01:22:24,537] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4068103Z  - 
2022-11-23T01:30:19.4068222Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4068285Z             {
2022-11-23T01:30:19.4068431Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4068604Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4068721Z                 'obj_weakref': None
2022-11-23T01:30:19.4068946Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4069013Z             }
2022-11-23T01:30:19.4069075Z             
2022-11-23T01:30:19.4069141Z  - 
2022-11-23T01:30:19.4069265Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4069316Z             {
2022-11-23T01:30:19.4069459Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4069564Z                 'code': None,
2022-11-23T01:30:19.4069776Z                 'obj_weakref': <weakref at 0x7ff5a8230040; to 'Tensor' at 0x7ff59c14ae80>
2022-11-23T01:30:19.4070059Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4070123Z             }
2022-11-23T01:30:19.4070184Z             
2022-11-23T01:30:19.4070240Z  - 
2022-11-23T01:30:19.4070369Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4070430Z             {
2022-11-23T01:30:19.4070561Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4070729Z                 'code': ['___check_obj_id(model, 140693070725616)'],
2022-11-23T01:30:19.4070844Z                 'obj_weakref': None
2022-11-23T01:30:19.4071072Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4071122Z             }
2022-11-23T01:30:19.4071184Z             
2022-11-23T01:30:19.4071254Z  - 
2022-11-23T01:30:19.4071372Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4071467Z             {
2022-11-23T01:30:19.4071596Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4071807Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4071911Z                 'obj_weakref': None
2022-11-23T01:30:19.4072122Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4072176Z             }
2022-11-23T01:30:19.4072232Z             
2022-11-23T01:30:19.4072293Z  - 
2022-11-23T01:30:19.4072415Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4072468Z             {
2022-11-23T01:30:19.4072574Z                 'guard_types': None,
2022-11-23T01:30:19.4072674Z                 'code': None,
2022-11-23T01:30:19.4072781Z                 'obj_weakref': None
2022-11-23T01:30:19.4072893Z                 'guarded_class': None
2022-11-23T01:30:19.4072949Z             }
2022-11-23T01:30:19.4073006Z             
2022-11-23T01:30:19.4073260Z [2022-11-23 01:22:24,541] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 27
2022-11-23T01:30:19.4073617Z [2022-11-23 01:22:26,048] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ki/cki5s36qscydieki2es4ljtwrx5a7favox2byukyhdmeiflrlfvl.py
2022-11-23T01:30:19.4073941Z [2022-11-23 01:22:26,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 27
2022-11-23T01:30:19.4073949Z 
2022-11-23T01:30:19.4074035Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4074095Z import torch
2022-11-23T01:30:19.4074157Z import random
2022-11-23T01:30:19.4094878Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4095028Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4095034Z 
2022-11-23T01:30:19.4095107Z aten = torch.ops.aten
2022-11-23T01:30:19.4095239Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4095324Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4095333Z 
2022-11-23T01:30:19.4095338Z 
2022-11-23T01:30:19.4095468Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4095670Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4095782Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4095874Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4095928Z {
2022-11-23T01:30:19.4096018Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4096066Z     {
2022-11-23T01:30:19.4096136Z         #pragma omp for 
2022-11-23T01:30:19.4096212Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.4096268Z         {
2022-11-23T01:30:19.4096340Z             #pragma GCC ivdep
2022-11-23T01:30:19.4096553Z             for(long i1=0; i1<55; i1+=1)
2022-11-23T01:30:19.4096610Z             {
2022-11-23T01:30:19.4096678Z                 #pragma GCC ivdep
2022-11-23T01:30:19.4096761Z                 for(long i2=0; i2<55; i2+=1)
2022-11-23T01:30:19.4096819Z                 {
2022-11-23T01:30:19.4096879Z                     {
2022-11-23T01:30:19.4096940Z                         {
2022-11-23T01:30:19.4097139Z                             auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4097251Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4097350Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4097456Z                             auto tmp5 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4097564Z                             auto tmp7 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4097670Z                             auto tmp9 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4097778Z                             auto tmp11 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4097886Z                             auto tmp13 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4098038Z                             auto tmp15 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:19.4098129Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:30:19.4098214Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:30:19.4098299Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:30:19.4098382Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:30:19.4098471Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:30:19.4098562Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:30:19.4098655Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:30:19.4098745Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:30:19.4098851Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:30:19.4098940Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:30:19.4099039Z                             out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp18;
2022-11-23T01:30:19.4099102Z                         }
2022-11-23T01:30:19.4099164Z                     }
2022-11-23T01:30:19.4099220Z                 }
2022-11-23T01:30:19.4099276Z             }
2022-11-23T01:30:19.4099326Z         }
2022-11-23T01:30:19.4099380Z     }
2022-11-23T01:30:19.4099432Z }
2022-11-23T01:30:19.4099508Z ''')
2022-11-23T01:30:19.4099513Z 
2022-11-23T01:30:19.4099517Z 
2022-11-23T01:30:19.4099601Z async_compile.wait(globals())
2022-11-23T01:30:19.4099664Z del async_compile
2022-11-23T01:30:19.4099669Z 
2022-11-23T01:30:19.4099731Z def call(args):
2022-11-23T01:30:19.4099788Z     arg0_1, = args
2022-11-23T01:30:19.4099851Z     args.clear()
2022-11-23T01:30:19.4100069Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4100197Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4100259Z     del arg0_1
2022-11-23T01:30:19.4100323Z     return (buf0, )
2022-11-23T01:30:19.4100327Z 
2022-11-23T01:30:19.4100331Z 
2022-11-23T01:30:19.4100400Z if __name__ == "__main__":
2022-11-23T01:30:19.4100506Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4100614Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4100838Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4100940Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4100946Z 
2022-11-23T01:30:19.4101005Z ok (1.534s)
2022-11-23T01:30:19.4101312Z   test_avg_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:22:26,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4101623Z [2022-11-23 01:22:26,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4101836Z [2022-11-23 01:22:26,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4102114Z [2022-11-23 01:22:26,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4102386Z [2022-11-23 01:22:26,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4102696Z [2022-11-23 01:22:26,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4103033Z [2022-11-23 01:22:26,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4103349Z [2022-11-23 01:22:26,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4103718Z [2022-11-23 01:22:26,054] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047> 
2022-11-23T01:30:19.4103843Z  2048           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4103935Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:30:19.4104018Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4104099Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4104179Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4104255Z               10 BUILD_LIST               2
2022-11-23T01:30:19.4104335Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4104413Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4104491Z               16 BUILD_LIST               2
2022-11-23T01:30:19.4104569Z               18 LOAD_CONST               3 (1)
2022-11-23T01:30:19.4104647Z               20 LOAD_CONST               3 (1)
2022-11-23T01:30:19.4104727Z               22 BUILD_LIST               2
2022-11-23T01:30:19.4104806Z               24 LOAD_CONST               4 (False)
2022-11-23T01:30:19.4104971Z               26 LOAD_CONST               5 (('count_include_pad',))
2022-11-23T01:30:19.4105056Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:30:19.4105125Z               30 RETURN_VALUE
2022-11-23T01:30:19.4105179Z  
2022-11-23T01:30:19.4105185Z 
2022-11-23T01:30:19.4105492Z [2022-11-23 01:22:26,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2048
2022-11-23T01:30:19.4105703Z [2022-11-23 01:22:26,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4106011Z [2022-11-23 01:22:26,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4106258Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:30:19.4106540Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.4106859Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4107218Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4107519Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4107857Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4108231Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4108589Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4108954Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4109349Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4109712Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4110212Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('count_include_pad',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.4110658Z [2022-11-23 01:22:26,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:19.4110898Z [2022-11-23 01:22:26,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4111267Z [2022-11-23 01:22:26,063] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2047>
2022-11-23T01:30:19.4111508Z [2022-11-23 01:22:26,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4111737Z [2022-11-23 01:22:26,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4111987Z [2022-11-23 01:22:26,064] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4112228Z [2022-11-23 01:22:26,066] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4112411Z [2022-11-23 01:22:26,066] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4112541Z  __compiled_fn_29 <eval_with_key>.188 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4112625Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4112857Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'count_include_pad': False}
2022-11-23T01:30:19.4112952Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:30:19.4112957Z 
2022-11-23T01:30:19.4113276Z [2022-11-23 01:22:26,067] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4113366Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4113454Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4113535Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4113620Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4113698Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4113781Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4113914Z              12 RETURN_VALUE
2022-11-23T01:30:19.4113921Z 
2022-11-23T01:30:19.4113979Z  
2022-11-23T01:30:19.4114298Z [2022-11-23 01:22:26,067] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4114402Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_29)
2022-11-23T01:30:19.4114489Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4114574Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4114645Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4114758Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4114843Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4114914Z              12 RETURN_VALUE
2022-11-23T01:30:19.4114918Z 
2022-11-23T01:30:19.4114973Z  
2022-11-23T01:30:19.4115148Z [2022-11-23 01:22:26,067] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4115212Z  - 
2022-11-23T01:30:19.4115362Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4115442Z             {
2022-11-23T01:30:19.4115629Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4115811Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4115926Z                 'obj_weakref': None
2022-11-23T01:30:19.4116144Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4116238Z             }
2022-11-23T01:30:19.4116294Z             
2022-11-23T01:30:19.4116350Z  - 
2022-11-23T01:30:19.4116469Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4116528Z             {
2022-11-23T01:30:19.4116665Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4116767Z                 'code': None,
2022-11-23T01:30:19.4116975Z                 'obj_weakref': <weakref at 0x7ff5a807a4d0; to 'Tensor' at 0x7ff5a805b650>
2022-11-23T01:30:19.4117221Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4117282Z             }
2022-11-23T01:30:19.4117343Z             
2022-11-23T01:30:19.4117411Z  - 
2022-11-23T01:30:19.4117538Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4117588Z             {
2022-11-23T01:30:19.4117721Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4117887Z                 'code': ['___check_obj_id(model, 140693062686832)'],
2022-11-23T01:30:19.4118007Z                 'obj_weakref': None
2022-11-23T01:30:19.4118239Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4118300Z             }
2022-11-23T01:30:19.4118361Z             
2022-11-23T01:30:19.4118416Z  - 
2022-11-23T01:30:19.4118538Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4118598Z             {
2022-11-23T01:30:19.4118732Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4118948Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4119064Z                 'obj_weakref': None
2022-11-23T01:30:19.4119281Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4119331Z             }
2022-11-23T01:30:19.4119390Z             
2022-11-23T01:30:19.4119456Z  - 
2022-11-23T01:30:19.4119585Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4119648Z             {
2022-11-23T01:30:19.4119764Z                 'guard_types': None,
2022-11-23T01:30:19.4119858Z                 'code': None,
2022-11-23T01:30:19.4119974Z                 'obj_weakref': None
2022-11-23T01:30:19.4120095Z                 'guarded_class': None
2022-11-23T01:30:19.4120157Z             }
2022-11-23T01:30:19.4120217Z             
2022-11-23T01:30:19.4120475Z [2022-11-23 01:22:26,072] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 28
2022-11-23T01:30:19.4120481Z 
2022-11-23T01:30:19.4120572Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4120642Z import torch
2022-11-23T01:30:19.4120700Z import random
2022-11-23T01:30:19.4120815Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4120935Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4120940Z 
2022-11-23T01:30:19.4121015Z aten = torch.ops.aten
2022-11-23T01:30:19.4121148Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4121241Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4121247Z 
2022-11-23T01:30:19.4121251Z 
2022-11-23T01:30:19.4121414Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4121618Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4121723Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4121821Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4121880Z {
2022-11-23T01:30:19.4121978Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4122039Z     {
2022-11-23T01:30:19.4122113Z         #pragma omp for 
2022-11-23T01:30:19.4122192Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.4122242Z         {
2022-11-23T01:30:19.4122323Z             #pragma GCC ivdep
2022-11-23T01:30:19.4122403Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.4122464Z             {
2022-11-23T01:30:19.4122527Z                 {
2022-11-23T01:30:19.4122624Z                     {
2022-11-23T01:30:19.4122784Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:30:19.4122887Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:19.4122981Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:19.4123081Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:30:19.4123176Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:19.4123266Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:30:19.4123434Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:30:19.4123526Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:30:19.4123605Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:30:19.4123694Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:30:19.4123788Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:30:19.4123873Z                         float tmp11 = 0.0;
2022-11-23T01:30:19.4123951Z                         if(tmp10)
2022-11-23T01:30:19.4124017Z                         {
2022-11-23T01:30:19.4124194Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4124265Z                             tmp11 = tmp12;
2022-11-23T01:30:19.4124331Z                         }
2022-11-23T01:30:19.4124437Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:30:19.4124530Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:30:19.4124621Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:30:19.4124711Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:30:19.4124800Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:30:19.4124872Z                         float tmp18 = 0.0;
2022-11-23T01:30:19.4124948Z                         if(tmp17)
2022-11-23T01:30:19.4125014Z                         {
2022-11-23T01:30:19.4125188Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4125271Z                             tmp18 = tmp19;
2022-11-23T01:30:19.4125337Z                         }
2022-11-23T01:30:19.4125431Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:30:19.4125529Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:30:19.4125622Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:30:19.4125713Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:30:19.4125803Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:30:19.4125892Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:30:19.4125974Z                         float tmp26 = 0.0;
2022-11-23T01:30:19.4126079Z                         if(tmp25)
2022-11-23T01:30:19.4126170Z                         {
2022-11-23T01:30:19.4126423Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4126506Z                             tmp26 = tmp27;
2022-11-23T01:30:19.4126576Z                         }
2022-11-23T01:30:19.4126669Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:30:19.4126817Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:30:19.4126910Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:30:19.4127003Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:30:19.4127081Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:30:19.4127168Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:30:19.4127253Z                         float tmp34 = 0.0;
2022-11-23T01:30:19.4127328Z                         if(tmp33)
2022-11-23T01:30:19.4127394Z                         {
2022-11-23T01:30:19.4127574Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4127654Z                             tmp34 = tmp35;
2022-11-23T01:30:19.4127708Z                         }
2022-11-23T01:30:19.4127800Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:30:19.4127924Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:30:19.4128008Z                         float tmp38 = 0.0;
2022-11-23T01:30:19.4128086Z                         if(tmp37)
2022-11-23T01:30:19.4128155Z                         {
2022-11-23T01:30:19.4128266Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:30:19.4128336Z                             tmp38 = tmp39;
2022-11-23T01:30:19.4128404Z                         }
2022-11-23T01:30:19.4128495Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:30:19.4128585Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:30:19.4128669Z                         float tmp42 = 0.0;
2022-11-23T01:30:19.4128741Z                         if(tmp41)
2022-11-23T01:30:19.4128807Z                         {
2022-11-23T01:30:19.4128901Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4128982Z                             tmp42 = tmp43;
2022-11-23T01:30:19.4129050Z                         }
2022-11-23T01:30:19.4129142Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:30:19.4129251Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:30:19.4129341Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:30:19.4129434Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:30:19.4129512Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:30:19.4129601Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:30:19.4129684Z                         float tmp50 = 0.0;
2022-11-23T01:30:19.4129758Z                         if(tmp49)
2022-11-23T01:30:19.4129824Z                         {
2022-11-23T01:30:19.4129928Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4130008Z                             tmp50 = tmp51;
2022-11-23T01:30:19.4130062Z                         }
2022-11-23T01:30:19.4130155Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:30:19.4130246Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:30:19.4130330Z                         float tmp54 = 0.0;
2022-11-23T01:30:19.4130403Z                         if(tmp53)
2022-11-23T01:30:19.4130468Z                         {
2022-11-23T01:30:19.4130571Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4130639Z                             tmp54 = tmp55;
2022-11-23T01:30:19.4130707Z                         }
2022-11-23T01:30:19.4130797Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:30:19.4130887Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:30:19.4130969Z                         float tmp58 = 0.0;
2022-11-23T01:30:19.4131044Z                         if(tmp57)
2022-11-23T01:30:19.4131108Z                         {
2022-11-23T01:30:19.4131212Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4131283Z                             tmp58 = tmp59;
2022-11-23T01:30:19.4131348Z                         }
2022-11-23T01:30:19.4131438Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:30:19.4131549Z                         float tmp61 = 0.0;
2022-11-23T01:30:19.4131622Z                         if(tmp10)
2022-11-23T01:30:19.4131691Z                         {
2022-11-23T01:30:19.4131796Z                             auto tmp62 = static_cast<float>(1);
2022-11-23T01:30:19.4131863Z                             tmp61 = tmp62;
2022-11-23T01:30:19.4131928Z                         }
2022-11-23T01:30:19.4132009Z                         float tmp63 = 0.0;
2022-11-23T01:30:19.4132083Z                         if(tmp17)
2022-11-23T01:30:19.4132149Z                         {
2022-11-23T01:30:19.4132255Z                             auto tmp64 = static_cast<float>(1);
2022-11-23T01:30:19.4132333Z                             tmp63 = tmp64;
2022-11-23T01:30:19.4132386Z                         }
2022-11-23T01:30:19.4132504Z                         auto tmp65 = tmp63 + tmp61;
2022-11-23T01:30:19.4132588Z                         float tmp66 = 0.0;
2022-11-23T01:30:19.4132663Z                         if(tmp25)
2022-11-23T01:30:19.4132728Z                         {
2022-11-23T01:30:19.4132837Z                             auto tmp67 = static_cast<float>(1);
2022-11-23T01:30:19.4132916Z                             tmp66 = tmp67;
2022-11-23T01:30:19.4132970Z                         }
2022-11-23T01:30:19.4133060Z                         auto tmp68 = tmp66 + tmp65;
2022-11-23T01:30:19.4133143Z                         float tmp69 = 0.0;
2022-11-23T01:30:19.4133217Z                         if(tmp33)
2022-11-23T01:30:19.4133281Z                         {
2022-11-23T01:30:19.4133385Z                             auto tmp70 = static_cast<float>(1);
2022-11-23T01:30:19.4133464Z                             tmp69 = tmp70;
2022-11-23T01:30:19.4133517Z                         }
2022-11-23T01:30:19.4133607Z                         auto tmp71 = tmp69 + tmp68;
2022-11-23T01:30:19.4133690Z                         float tmp72 = 0.0;
2022-11-23T01:30:19.4133764Z                         if(tmp37)
2022-11-23T01:30:19.4133832Z                         {
2022-11-23T01:30:19.4133934Z                             auto tmp73 = static_cast<float>(1);
2022-11-23T01:30:19.4134013Z                             tmp72 = tmp73;
2022-11-23T01:30:19.4134067Z                         }
2022-11-23T01:30:19.4134157Z                         auto tmp74 = tmp72 + tmp71;
2022-11-23T01:30:19.4134240Z                         float tmp75 = 0.0;
2022-11-23T01:30:19.4134313Z                         if(tmp41)
2022-11-23T01:30:19.4134380Z                         {
2022-11-23T01:30:19.4134482Z                             auto tmp76 = static_cast<float>(1);
2022-11-23T01:30:19.4134560Z                             tmp75 = tmp76;
2022-11-23T01:30:19.4134614Z                         }
2022-11-23T01:30:19.4134704Z                         auto tmp77 = tmp75 + tmp74;
2022-11-23T01:30:19.4134786Z                         float tmp78 = 0.0;
2022-11-23T01:30:19.4134858Z                         if(tmp49)
2022-11-23T01:30:19.4134924Z                         {
2022-11-23T01:30:19.4135026Z                             auto tmp79 = static_cast<float>(1);
2022-11-23T01:30:19.4135104Z                             tmp78 = tmp79;
2022-11-23T01:30:19.4135160Z                         }
2022-11-23T01:30:19.4135250Z                         auto tmp80 = tmp78 + tmp77;
2022-11-23T01:30:19.4135331Z                         float tmp81 = 0.0;
2022-11-23T01:30:19.4135404Z                         if(tmp53)
2022-11-23T01:30:19.4135468Z                         {
2022-11-23T01:30:19.4135568Z                             auto tmp82 = static_cast<float>(1);
2022-11-23T01:30:19.4135645Z                             tmp81 = tmp82;
2022-11-23T01:30:19.4135699Z                         }
2022-11-23T01:30:19.4135788Z                         auto tmp83 = tmp81 + tmp80;
2022-11-23T01:30:19.4135871Z                         float tmp84 = 0.0;
2022-11-23T01:30:19.4135946Z                         if(tmp57)
2022-11-23T01:30:19.4136010Z                         {
2022-11-23T01:30:19.4136157Z                             auto tmp85 = static_cast<float>(1);
2022-11-23T01:30:19.4136242Z                             tmp84 = tmp85;
2022-11-23T01:30:19.4136296Z                         }
2022-11-23T01:30:19.4136386Z                         auto tmp86 = tmp84 + tmp83;
2022-11-23T01:30:19.4136597Z                         auto tmp87 = tmp60 / tmp86;
2022-11-23T01:30:19.4136693Z                         out_ptr0[i1 + (4*i0)] = tmp87;
2022-11-23T01:30:19.4136760Z                     }
2022-11-23T01:30:19.4136824Z                 }
2022-11-23T01:30:19.4136887Z             }
2022-11-23T01:30:19.4136937Z         }
2022-11-23T01:30:19.4136998Z     }
2022-11-23T01:30:19.4137058Z }
2022-11-23T01:30:19.4137152Z ''')
2022-11-23T01:30:19.4137159Z 
2022-11-23T01:30:19.4137163Z 
2022-11-23T01:30:19.4137253Z async_compile.wait(globals())
2022-11-23T01:30:19.4137384Z del async_compile
2022-11-23T01:30:19.4137388Z 
2022-11-23T01:30:19.4137462Z def call(args):
2022-11-23T01:30:19.4137519Z     arg0_1, = args
2022-11-23T01:30:19.4137589Z     args.clear()
2022-11-23T01:30:19.4137811Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4137945Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4138015Z     del arg0_1
2022-11-23T01:30:19.4138088Z     return (buf0, )
2022-11-23T01:30:19.4138093Z 
2022-11-23T01:30:19.4138096Z 
2022-11-23T01:30:19.4138171Z if __name__ == "__main__":
2022-11-23T01:30:19.4138284Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4138395Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4138610Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4138721Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4139095Z [2022-11-23 01:22:27,605] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpdc52kuexqto7hy7yrznam2bkauwd2dtypg3ubzgl3zvagazrp.py
2022-11-23T01:30:19.4139359Z [2022-11-23 01:22:27,605] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 28
2022-11-23T01:30:19.4139364Z 
2022-11-23T01:30:19.4139429Z ok (1.556s)
2022-11-23T01:30:19.4139735Z   test_avg_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4140044Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4140261Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4140501Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4140775Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4141098Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4141440Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4141761Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4142129Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d112130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056> 
2022-11-23T01:30:19.4142223Z  2057           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4142320Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:30:19.4142412Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4142488Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4142611Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4142701Z               10 BUILD_LIST               2
2022-11-23T01:30:19.4142787Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4142872Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4142955Z               16 BUILD_LIST               2
2022-11-23T01:30:19.4143040Z               18 LOAD_CONST               3 (1)
2022-11-23T01:30:19.4143112Z               20 LOAD_CONST               3 (1)
2022-11-23T01:30:19.4143195Z               22 BUILD_LIST               2
2022-11-23T01:30:19.4143279Z               24 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4143448Z               26 LOAD_CONST               4 (('divisor_override',))
2022-11-23T01:30:19.4143537Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:30:19.4143642Z               30 RETURN_VALUE
2022-11-23T01:30:19.4143702Z  
2022-11-23T01:30:19.4143708Z 
2022-11-23T01:30:19.4144024Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2057
2022-11-23T01:30:19.4144228Z [2022-11-23 01:22:27,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4144541Z [2022-11-23 01:22:27,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4144801Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:30:19.4145090Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.4145411Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4145776Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4146085Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4146432Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4146815Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4147145Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4147519Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4147925Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4148267Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4148693Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('divisor_override',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4149179Z [2022-11-23 01:22:27,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:19.4149430Z [2022-11-23 01:22:27,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4149808Z [2022-11-23 01:22:27,618] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d112130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2056>
2022-11-23T01:30:19.4150055Z [2022-11-23 01:22:27,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4150288Z [2022-11-23 01:22:27,619] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4150540Z [2022-11-23 01:22:27,620] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4150817Z [2022-11-23 01:22:27,622] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4151006Z [2022-11-23 01:22:27,622] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4151139Z  __compiled_fn_30 <eval_with_key>.194 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4151218Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4151452Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'divisor_override': 3}
2022-11-23T01:30:19.4151556Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:30:19.4151561Z 
2022-11-23T01:30:19.4151882Z [2022-11-23 01:22:27,623] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4151974Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4152064Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4152152Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4152243Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4152316Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4152403Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4152478Z              12 RETURN_VALUE
2022-11-23T01:30:19.4152483Z 
2022-11-23T01:30:19.4152542Z  
2022-11-23T01:30:19.4152862Z [2022-11-23 01:22:27,623] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4152969Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_30)
2022-11-23T01:30:19.4153056Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4153132Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4153207Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4153292Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4153381Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4153456Z              12 RETURN_VALUE
2022-11-23T01:30:19.4153460Z 
2022-11-23T01:30:19.4153519Z  
2022-11-23T01:30:19.4153704Z [2022-11-23 01:22:27,623] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4153773Z  - 
2022-11-23T01:30:19.4153950Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4154019Z             {
2022-11-23T01:30:19.4154161Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4154348Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4154470Z                 'obj_weakref': None
2022-11-23T01:30:19.4154694Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4154761Z             }
2022-11-23T01:30:19.4154811Z             
2022-11-23T01:30:19.4154879Z  - 
2022-11-23T01:30:19.4155003Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4155068Z             {
2022-11-23T01:30:19.4155209Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4155319Z                 'code': None,
2022-11-23T01:30:19.4155566Z                 'obj_weakref': <weakref at 0x7ff59c0627f0; to 'Tensor' at 0x7ff5a81e2f20>
2022-11-23T01:30:19.4155811Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4155873Z             }
2022-11-23T01:30:19.4155935Z             
2022-11-23T01:30:19.4156003Z  - 
2022-11-23T01:30:19.4156130Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4156190Z             {
2022-11-23T01:30:19.4156324Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4156478Z                 'code': ['___check_obj_id(model, 140692862616624)'],
2022-11-23T01:30:19.4156594Z                 'obj_weakref': None
2022-11-23T01:30:19.4156823Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4156885Z             }
2022-11-23T01:30:19.4156979Z             
2022-11-23T01:30:19.4157045Z  - 
2022-11-23T01:30:19.4157155Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4157217Z             {
2022-11-23T01:30:19.4157354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4157572Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4157693Z                 'obj_weakref': None
2022-11-23T01:30:19.4157917Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4157979Z             }
2022-11-23T01:30:19.4158040Z             
2022-11-23T01:30:19.4158096Z  - 
2022-11-23T01:30:19.4158224Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4158285Z             {
2022-11-23T01:30:19.4158404Z                 'guard_types': None,
2022-11-23T01:30:19.4158508Z                 'code': None,
2022-11-23T01:30:19.4158623Z                 'obj_weakref': None
2022-11-23T01:30:19.4158731Z                 'guarded_class': None
2022-11-23T01:30:19.4158799Z             }
2022-11-23T01:30:19.4158859Z             
2022-11-23T01:30:19.4159119Z [2022-11-23 01:22:27,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 29
2022-11-23T01:30:19.4159486Z [2022-11-23 01:22:29,102] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ap/captziygdb4oj6lsis2727qp3hoklwf4n7ew4boypilbjikzwrpc.py
2022-11-23T01:30:19.4159749Z [2022-11-23 01:22:29,102] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 29
2022-11-23T01:30:19.4159755Z 
2022-11-23T01:30:19.4159848Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4159916Z import torch
2022-11-23T01:30:19.4159973Z import random
2022-11-23T01:30:19.4160088Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4160207Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4160212Z 
2022-11-23T01:30:19.4160289Z aten = torch.ops.aten
2022-11-23T01:30:19.4160425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4160516Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4160521Z 
2022-11-23T01:30:19.4160526Z 
2022-11-23T01:30:19.4160659Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4160865Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4160971Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4161070Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4161129Z {
2022-11-23T01:30:19.4161224Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4161285Z     {
2022-11-23T01:30:19.4161361Z         #pragma omp for 
2022-11-23T01:30:19.4161439Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.4161489Z         {
2022-11-23T01:30:19.4161567Z             #pragma GCC ivdep
2022-11-23T01:30:19.4161650Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.4161714Z             {
2022-11-23T01:30:19.4161782Z                 {
2022-11-23T01:30:19.4161847Z                     {
2022-11-23T01:30:19.4162019Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:30:19.4162146Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:19.4162241Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:19.4162341Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:30:19.4162433Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:19.4162526Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:30:19.4162695Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:30:19.4162788Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:30:19.4162868Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:30:19.4162959Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:30:19.4163050Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:30:19.4163169Z                         float tmp11 = 0.0;
2022-11-23T01:30:19.4163243Z                         if(tmp10)
2022-11-23T01:30:19.4163311Z                         {
2022-11-23T01:30:19.4163485Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4163557Z                             tmp11 = tmp12;
2022-11-23T01:30:19.4163623Z                         }
2022-11-23T01:30:19.4163733Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:30:19.4163828Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:30:19.4163919Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:30:19.4164010Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:30:19.4164099Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:30:19.4164182Z                         float tmp18 = 0.0;
2022-11-23T01:30:19.4164244Z                         if(tmp17)
2022-11-23T01:30:19.4164310Z                         {
2022-11-23T01:30:19.4164487Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4164567Z                             tmp18 = tmp19;
2022-11-23T01:30:19.4164635Z                         }
2022-11-23T01:30:19.4164730Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:30:19.4164843Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:30:19.4164923Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:30:19.4165013Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:30:19.4165103Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:30:19.4165192Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:30:19.4165275Z                         float tmp26 = 0.0;
2022-11-23T01:30:19.4165348Z                         if(tmp25)
2022-11-23T01:30:19.4165414Z                         {
2022-11-23T01:30:19.4165571Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4165654Z                             tmp26 = tmp27;
2022-11-23T01:30:19.4165722Z                         }
2022-11-23T01:30:19.4165818Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:30:19.4165926Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:30:19.4166017Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:30:19.4166107Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:30:19.4166184Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:30:19.4166274Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:30:19.4166359Z                         float tmp34 = 0.0;
2022-11-23T01:30:19.4166433Z                         if(tmp33)
2022-11-23T01:30:19.4166498Z                         {
2022-11-23T01:30:19.4166669Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4166750Z                             tmp34 = tmp35;
2022-11-23T01:30:19.4166804Z                         }
2022-11-23T01:30:19.4166897Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:30:19.4166985Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:30:19.4167104Z                         float tmp38 = 0.0;
2022-11-23T01:30:19.4167178Z                         if(tmp37)
2022-11-23T01:30:19.4167249Z                         {
2022-11-23T01:30:19.4167355Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:30:19.4167435Z                             tmp38 = tmp39;
2022-11-23T01:30:19.4167490Z                         }
2022-11-23T01:30:19.4167581Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:30:19.4167671Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:30:19.4167753Z                         float tmp42 = 0.0;
2022-11-23T01:30:19.4167827Z                         if(tmp41)
2022-11-23T01:30:19.4167895Z                         {
2022-11-23T01:30:19.4168003Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4168100Z                             tmp42 = tmp43;
2022-11-23T01:30:19.4168166Z                         }
2022-11-23T01:30:19.4168258Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:30:19.4168368Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:30:19.4168460Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:30:19.4168550Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:30:19.4168640Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:30:19.4168718Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:30:19.4168801Z                         float tmp50 = 0.0;
2022-11-23T01:30:19.4168878Z                         if(tmp49)
2022-11-23T01:30:19.4168946Z                         {
2022-11-23T01:30:19.4169051Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4169131Z                             tmp50 = tmp51;
2022-11-23T01:30:19.4169200Z                         }
2022-11-23T01:30:19.4169278Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:30:19.4169369Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:30:19.4169453Z                         float tmp54 = 0.0;
2022-11-23T01:30:19.4169526Z                         if(tmp53)
2022-11-23T01:30:19.4169592Z                         {
2022-11-23T01:30:19.4169696Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4169776Z                             tmp54 = tmp55;
2022-11-23T01:30:19.4169830Z                         }
2022-11-23T01:30:19.4169920Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:30:19.4170010Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:30:19.4170094Z                         float tmp58 = 0.0;
2022-11-23T01:30:19.4170167Z                         if(tmp57)
2022-11-23T01:30:19.4170232Z                         {
2022-11-23T01:30:19.4170337Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:30:19.4170408Z                             tmp58 = tmp59;
2022-11-23T01:30:19.4170475Z                         }
2022-11-23T01:30:19.4170568Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:30:19.4170683Z                         auto tmp61 = static_cast<float>(0.3333333333333333);
2022-11-23T01:30:19.4170774Z                         auto tmp62 = tmp60 * tmp61;
2022-11-23T01:30:19.4170867Z                         out_ptr0[i1 + (4*i0)] = tmp62;
2022-11-23T01:30:19.4170932Z                     }
2022-11-23T01:30:19.4170987Z                 }
2022-11-23T01:30:19.4171050Z             }
2022-11-23T01:30:19.4171111Z         }
2022-11-23T01:30:19.4171171Z     }
2022-11-23T01:30:19.4171231Z }
2022-11-23T01:30:19.4171310Z ''')
2022-11-23T01:30:19.4171315Z 
2022-11-23T01:30:19.4171320Z 
2022-11-23T01:30:19.4171407Z async_compile.wait(globals())
2022-11-23T01:30:19.4171467Z del async_compile
2022-11-23T01:30:19.4171483Z 
2022-11-23T01:30:19.4171540Z def call(args):
2022-11-23T01:30:19.4171610Z     arg0_1, = args
2022-11-23T01:30:19.4171680Z     args.clear()
2022-11-23T01:30:19.4171922Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4172057Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4172124Z     del arg0_1
2022-11-23T01:30:19.4172193Z     return (buf0, )
2022-11-23T01:30:19.4172198Z 
2022-11-23T01:30:19.4172202Z 
2022-11-23T01:30:19.4172264Z if __name__ == "__main__":
2022-11-23T01:30:19.4172376Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4172497Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4172709Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4172816Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4172821Z 
2022-11-23T01:30:19.4172887Z ok (1.497s)
2022-11-23T01:30:19.4173199Z   test_avg_pool2d7_cpu (__main__.CpuTests) ... [2022-11-23 01:22:29,106] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4173546Z [2022-11-23 01:22:29,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4173750Z [2022-11-23 01:22:29,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4174001Z [2022-11-23 01:22:29,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4174276Z [2022-11-23 01:22:29,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4174596Z [2022-11-23 01:22:29,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4174942Z [2022-11-23 01:22:29,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4175267Z [2022-11-23 01:22:29,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4175639Z [2022-11-23 01:22:29,107] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d112290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066> 
2022-11-23T01:30:19.4175732Z  2067           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4175832Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:30:19.4175922Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4176000Z                6 LOAD_CONST               1 (13)
2022-11-23T01:30:19.4176092Z                8 LOAD_CONST               1 (13)
2022-11-23T01:30:19.4176179Z               10 BUILD_LIST               2
2022-11-23T01:30:19.4176266Z               12 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4176354Z               14 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4176548Z               16 BUILD_LIST               2
2022-11-23T01:30:19.4176637Z               18 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4176710Z               20 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4176794Z               22 BUILD_LIST               2
2022-11-23T01:30:19.4176881Z               24 CALL_METHOD              4
2022-11-23T01:30:19.4176957Z               26 RETURN_VALUE
2022-11-23T01:30:19.4177017Z  
2022-11-23T01:30:19.4177024Z 
2022-11-23T01:30:19.4177342Z [2022-11-23 01:22:29,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2067
2022-11-23T01:30:19.4177560Z [2022-11-23 01:22:29,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4177873Z [2022-11-23 01:22:29,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4178123Z [2022-11-23 01:22:29,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:30:19.4178473Z [2022-11-23 01:22:29,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:30:19.4178801Z [2022-11-23 01:22:29,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4179163Z [2022-11-23 01:22:29,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4179476Z [2022-11-23 01:22:29,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4179820Z [2022-11-23 01:22:29,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4180245Z [2022-11-23 01:22:29,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4180579Z [2022-11-23 01:22:29,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4180947Z [2022-11-23 01:22:29,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4181354Z [2022-11-23 01:22:29,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4181714Z [2022-11-23 01:22:29,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4181966Z [2022-11-23 01:22:29,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4182342Z [2022-11-23 01:22:29,115] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d112290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2066>
2022-11-23T01:30:19.4182575Z [2022-11-23 01:22:29,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4182808Z [2022-11-23 01:22:29,115] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4183060Z [2022-11-23 01:22:29,116] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4183304Z [2022-11-23 01:22:29,118] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4183493Z [2022-11-23 01:22:29,118] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4183627Z  __compiled_fn_31 <eval_with_key>.200 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4183718Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4183848Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [13, 13], [1, 1], [0, 0]), {}
2022-11-23T01:30:19.4183942Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:30:19.4183960Z 
2022-11-23T01:30:19.4184270Z [2022-11-23 01:22:29,119] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4184362Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4184450Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4184539Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4184629Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4184717Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4184803Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4184895Z              12 RETURN_VALUE
2022-11-23T01:30:19.4184901Z 
2022-11-23T01:30:19.4184962Z  
2022-11-23T01:30:19.4185282Z [2022-11-23 01:22:29,119] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4185390Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_31)
2022-11-23T01:30:19.4185479Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4185566Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4185640Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4185726Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4185803Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4185876Z              12 RETURN_VALUE
2022-11-23T01:30:19.4185881Z 
2022-11-23T01:30:19.4185971Z  
2022-11-23T01:30:19.4186152Z [2022-11-23 01:22:29,119] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4186221Z  - 
2022-11-23T01:30:19.4186341Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4186403Z             {
2022-11-23T01:30:19.4186533Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4186717Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4186835Z                 'obj_weakref': None
2022-11-23T01:30:19.4187058Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4187122Z             }
2022-11-23T01:30:19.4187184Z             
2022-11-23T01:30:19.4187251Z  - 
2022-11-23T01:30:19.4187361Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4187423Z             {
2022-11-23T01:30:19.4187564Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4187669Z                 'code': None,
2022-11-23T01:30:19.4187885Z                 'obj_weakref': <weakref at 0x7ff58ff8bc90; to 'Tensor' at 0x7ff59c0613f0>
2022-11-23T01:30:19.4188138Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4188200Z             }
2022-11-23T01:30:19.4188251Z             
2022-11-23T01:30:19.4188318Z  - 
2022-11-23T01:30:19.4188446Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4188508Z             {
2022-11-23T01:30:19.4188640Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4188809Z                 'code': ['___check_obj_id(model, 140692862629296)'],
2022-11-23T01:30:19.4188927Z                 'obj_weakref': None
2022-11-23T01:30:19.4189144Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4189208Z             }
2022-11-23T01:30:19.4189271Z             
2022-11-23T01:30:19.4189339Z  - 
2022-11-23T01:30:19.4189458Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4189522Z             {
2022-11-23T01:30:19.4189658Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4189864Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4189983Z                 'obj_weakref': None
2022-11-23T01:30:19.4190199Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4190261Z             }
2022-11-23T01:30:19.4190323Z             
2022-11-23T01:30:19.4190390Z  - 
2022-11-23T01:30:19.4190518Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4190568Z             {
2022-11-23T01:30:19.4190685Z                 'guard_types': None,
2022-11-23T01:30:19.4190790Z                 'code': None,
2022-11-23T01:30:19.4190907Z                 'obj_weakref': None
2022-11-23T01:30:19.4191024Z                 'guarded_class': None
2022-11-23T01:30:19.4191085Z             }
2022-11-23T01:30:19.4191147Z             
2022-11-23T01:30:19.4191395Z [2022-11-23 01:22:29,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 30
2022-11-23T01:30:19.4191649Z [2022-11-23 01:22:29,126] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d
2022-11-23T01:30:19.4192011Z [2022-11-23 01:22:29,128] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coo2kvp2yli52xzhpsykr6iii2r6x3qgu2yq2ovdi2n3fzfirbs5.py
2022-11-23T01:30:19.4192272Z [2022-11-23 01:22:29,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 30
2022-11-23T01:30:19.4192278Z 
2022-11-23T01:30:19.4192371Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4192439Z import torch
2022-11-23T01:30:19.4192508Z import random
2022-11-23T01:30:19.4192622Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4192729Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4192734Z 
2022-11-23T01:30:19.4192810Z aten = torch.ops.aten
2022-11-23T01:30:19.4192973Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4193066Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4193071Z 
2022-11-23T01:30:19.4193075Z 
2022-11-23T01:30:19.4193164Z async_compile.wait(globals())
2022-11-23T01:30:19.4193235Z del async_compile
2022-11-23T01:30:19.4193240Z 
2022-11-23T01:30:19.4193308Z def call(args):
2022-11-23T01:30:19.4193380Z     arg0_1, = args
2022-11-23T01:30:19.4193438Z     args.clear()
2022-11-23T01:30:19.4193564Z     buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None)
2022-11-23T01:30:19.4193632Z     del arg0_1
2022-11-23T01:30:19.4193698Z     buf1 = buf0
2022-11-23T01:30:19.4193874Z     assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1))
2022-11-23T01:30:19.4193942Z     del buf0
2022-11-23T01:30:19.4194012Z     return (buf1, )
2022-11-23T01:30:19.4194017Z 
2022-11-23T01:30:19.4194021Z 
2022-11-23T01:30:19.4194083Z if __name__ == "__main__":
2022-11-23T01:30:19.4194198Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4194321Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4194545Z     arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4194652Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4194657Z 
2022-11-23T01:30:19.4194724Z ok (0.026s)
2022-11-23T01:30:19.4195048Z   test_avg_pool2d_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4195365Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4195569Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4195821Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4196100Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4196423Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4196772Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4197098Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4197474Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2ad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057> 
2022-11-23T01:30:19.4197571Z  4058           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4197686Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:30:19.4197692Z 
2022-11-23T01:30:19.4197784Z 4059           4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4197788Z 
2022-11-23T01:30:19.4197918Z 4060           6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4197924Z 
2022-11-23T01:30:19.4198000Z 4061           8 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4198089Z               10 LOAD_CONST               1 (3)
2022-11-23T01:30:19.4198177Z               12 BUILD_LIST               2
2022-11-23T01:30:19.4198182Z 
2022-11-23T01:30:19.4198270Z 4062          14 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4198358Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4198444Z               18 BUILD_LIST               2
2022-11-23T01:30:19.4198449Z 
2022-11-23T01:30:19.4198536Z 4063          20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4198621Z               22 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4198693Z               24 BUILD_LIST               2
2022-11-23T01:30:19.4198724Z 
2022-11-23T01:30:19.4198817Z 4064          26 LOAD_CONST               3 (True)
2022-11-23T01:30:19.4198822Z 
2022-11-23T01:30:19.4198916Z 4065          28 LOAD_CONST               4 (False)
2022-11-23T01:30:19.4198920Z 
2022-11-23T01:30:19.4199011Z 4066          30 LOAD_CONST               0 (None)
2022-11-23T01:30:19.4199016Z 
2022-11-23T01:30:19.4199103Z 4058          32 CALL_METHOD              8
2022-11-23T01:30:19.4199180Z               34 RETURN_VALUE
2022-11-23T01:30:19.4199242Z  
2022-11-23T01:30:19.4199246Z 
2022-11-23T01:30:19.4199569Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T01:30:19.4199787Z [2022-11-23 01:22:29,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4200104Z [2022-11-23 01:22:29,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4200424Z [2022-11-23 01:22:29,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4059
2022-11-23T01:30:19.4200693Z [2022-11-23 01:22:29,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:30:19.4201008Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4060
2022-11-23T01:30:19.4201308Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:30:19.4201615Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4061
2022-11-23T01:30:19.4201947Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4202319Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4202725Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4203036Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4062
2022-11-23T01:30:19.4203388Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4203776Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4204261Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4204575Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4063
2022-11-23T01:30:19.4204952Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4205366Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4205849Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4206163Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4064
2022-11-23T01:30:19.4206569Z [2022-11-23 01:22:29,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4206880Z [2022-11-23 01:22:29,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4065
2022-11-23T01:30:19.4207326Z [2022-11-23 01:22:29,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.4207638Z [2022-11-23 01:22:29,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4066
2022-11-23T01:30:19.4208136Z [2022-11-23 01:22:29,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:30:19.4208447Z [2022-11-23 01:22:29,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4058
2022-11-23T01:30:19.4208987Z [2022-11-23 01:22:29,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:30:19.4209242Z [2022-11-23 01:22:29,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4209625Z [2022-11-23 01:22:29,142] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2ad0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4057>
2022-11-23T01:30:19.4209860Z [2022-11-23 01:22:29,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4210092Z [2022-11-23 01:22:29,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4210349Z [2022-11-23 01:22:29,143] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4210599Z [2022-11-23 01:22:29,145] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4210793Z [2022-11-23 01:22:29,145] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4210926Z  __compiled_fn_32 <eval_with_key>.206 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4211054Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4211141Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4211303Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [3, 3], [1, 1], [1, 1], True, False, None), {}
2022-11-23T01:30:19.4211417Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:30:19.4211423Z 
2022-11-23T01:30:19.4211746Z [2022-11-23 01:22:29,146] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4211838Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4211928Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4212014Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4212132Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4212216Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4212292Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4212368Z              12 RETURN_VALUE
2022-11-23T01:30:19.4212374Z 
2022-11-23T01:30:19.4212433Z  
2022-11-23T01:30:19.4212757Z [2022-11-23 01:22:29,146] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4212863Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_32)
2022-11-23T01:30:19.4212952Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4213043Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4213121Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4213196Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4213281Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4213356Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4213445Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4213534Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4213607Z              18 RETURN_VALUE
2022-11-23T01:30:19.4213614Z 
2022-11-23T01:30:19.4213674Z  
2022-11-23T01:30:19.4213844Z [2022-11-23 01:22:29,147] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4213911Z  - 
2022-11-23T01:30:19.4214028Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4214094Z             {
2022-11-23T01:30:19.4214232Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4214417Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4214533Z                 'obj_weakref': None
2022-11-23T01:30:19.4214745Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4214808Z             }
2022-11-23T01:30:19.4214870Z             
2022-11-23T01:30:19.4214937Z  - 
2022-11-23T01:30:19.4215062Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4215122Z             {
2022-11-23T01:30:19.4215262Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4215358Z                 'code': None,
2022-11-23T01:30:19.4215569Z                 'obj_weakref': <weakref at 0x7ff58ff897b0; to 'Tensor' at 0x7ff5ad9171a0>
2022-11-23T01:30:19.4215823Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4215886Z             }
2022-11-23T01:30:19.4215948Z             
2022-11-23T01:30:19.4216016Z  - 
2022-11-23T01:30:19.4216139Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4216189Z             {
2022-11-23T01:30:19.4216330Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4216578Z                 'code': None,
2022-11-23T01:30:19.4216790Z                 'obj_weakref': <weakref at 0x7ff58ff88e00; to 'Tensor' at 0x7ff6383f4310>
2022-11-23T01:30:19.4217045Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4217111Z             }
2022-11-23T01:30:19.4217172Z             
2022-11-23T01:30:19.4217227Z  - 
2022-11-23T01:30:19.4217410Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4217474Z             {
2022-11-23T01:30:19.4217609Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4217779Z                 'code': ['___check_obj_id(model, 140692862618928)'],
2022-11-23T01:30:19.4217897Z                 'obj_weakref': None
2022-11-23T01:30:19.4218126Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4218178Z             }
2022-11-23T01:30:19.4218240Z             
2022-11-23T01:30:19.4218309Z  - 
2022-11-23T01:30:19.4218432Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4218496Z             {
2022-11-23T01:30:19.4218631Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4218849Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4218989Z                 'obj_weakref': None
2022-11-23T01:30:19.4219212Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4219274Z             }
2022-11-23T01:30:19.4219338Z             
2022-11-23T01:30:19.4219406Z  - 
2022-11-23T01:30:19.4219534Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4219596Z             {
2022-11-23T01:30:19.4219702Z                 'guard_types': None,
2022-11-23T01:30:19.4219806Z                 'code': None,
2022-11-23T01:30:19.4219922Z                 'obj_weakref': None
2022-11-23T01:30:19.4220040Z                 'guarded_class': None
2022-11-23T01:30:19.4220101Z             }
2022-11-23T01:30:19.4220162Z             
2022-11-23T01:30:19.4220421Z [2022-11-23 01:22:29,151] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 31
2022-11-23T01:30:19.4220429Z 
2022-11-23T01:30:19.4220509Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4220577Z import torch
2022-11-23T01:30:19.4220646Z import random
2022-11-23T01:30:19.4220763Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4220886Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4220891Z 
2022-11-23T01:30:19.4220969Z aten = torch.ops.aten
2022-11-23T01:30:19.4221102Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4221182Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4221198Z 
2022-11-23T01:30:19.4221203Z 
2022-11-23T01:30:19.4221323Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4221526Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4221645Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4221743Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4221803Z {
2022-11-23T01:30:19.4221901Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4221961Z     {
2022-11-23T01:30:19.4222024Z         #pragma omp for 
2022-11-23T01:30:19.4222104Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:30:19.4222168Z         {
2022-11-23T01:30:19.4222247Z             #pragma GCC ivdep
2022-11-23T01:30:19.4222332Z             for(long i1=0; i1<15; i1+=1)
2022-11-23T01:30:19.4222394Z             {
2022-11-23T01:30:19.4222457Z                 {
2022-11-23T01:30:19.4222510Z                     {
2022-11-23T01:30:19.4222674Z                         auto tmp0 = static_cast<int>((-1) + i0);
2022-11-23T01:30:19.4222839Z                         auto tmp1 = static_cast<int>((-1) + i1);
2022-11-23T01:30:19.4222944Z                         auto tmp2 = static_cast<int>(2 + i0);
2022-11-23T01:30:19.4223049Z                         auto tmp3 = static_cast<int>(2 + i1);
2022-11-23T01:30:19.4223150Z                         auto tmp4 = static_cast<int>(0);
2022-11-23T01:30:19.4223278Z                         auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:30:19.4223371Z                         auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:30:19.4223470Z                         auto tmp7 = static_cast<int>(20);
2022-11-23T01:30:19.4223612Z                         auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:30:19.4223713Z                         auto tmp9 = static_cast<int>(15);
2022-11-23T01:30:19.4223820Z                         auto tmp10 = std::min(tmp3, tmp9);
2022-11-23T01:30:19.4223913Z                         auto tmp11 = tmp5 + tmp4;
2022-11-23T01:30:19.4224006Z                         auto tmp12 = tmp6 + tmp4;
2022-11-23T01:30:19.4224105Z                         auto tmp13 = static_cast<int>(1);
2022-11-23T01:30:19.4224192Z                         auto tmp14 = static_cast<int>(3);
2022-11-23T01:30:19.4224286Z                         auto tmp15 = tmp11 * tmp13;
2022-11-23T01:30:19.4224428Z                         auto tmp16 = tmp15 - tmp13;
2022-11-23T01:30:19.4224517Z                         auto tmp17 = tmp12 * tmp13;
2022-11-23T01:30:19.4224683Z                         auto tmp18 = tmp17 - tmp13;
2022-11-23T01:30:19.4224772Z                         auto tmp19 = tmp16 + tmp14;
2022-11-23T01:30:19.4224865Z                         auto tmp20 = tmp7 + tmp13;
2022-11-23T01:30:19.4224959Z                         auto tmp21 = std::min(tmp19, tmp20);
2022-11-23T01:30:19.4225052Z                         auto tmp22 = tmp18 + tmp14;
2022-11-23T01:30:19.4225146Z                         auto tmp23 = tmp9 + tmp13;
2022-11-23T01:30:19.4225251Z                         auto tmp24 = std::min(tmp22, tmp23);
2022-11-23T01:30:19.4225355Z                         auto tmp25 = std::max(tmp16, tmp4);
2022-11-23T01:30:19.4225459Z                         auto tmp26 = std::max(tmp18, tmp4);
2022-11-23T01:30:19.4225561Z                         auto tmp27 = std::min(tmp21, tmp7);
2022-11-23T01:30:19.4225663Z                         auto tmp28 = std::min(tmp24, tmp9);
2022-11-23T01:30:19.4225791Z                         auto tmp29 = tmp27 - tmp25;
2022-11-23T01:30:19.4225932Z                         auto tmp30 = tmp28 - tmp26;
2022-11-23T01:30:19.4226021Z                         auto tmp31 = tmp29 * tmp30;
2022-11-23T01:30:19.4226162Z                         auto tmp32 = tmp8 - tmp13;
2022-11-23T01:30:19.4226266Z                         auto tmp33 = std::min(tmp11, tmp32);
2022-11-23T01:30:19.4226405Z                         auto tmp34 = tmp10 - tmp13;
2022-11-23T01:30:19.4226510Z                         auto tmp35 = std::min(tmp12, tmp34);
2022-11-23T01:30:19.4226617Z                         auto tmp36 = in_ptr0[tmp35 + (15*tmp33)];
2022-11-23T01:30:19.4226697Z                         auto tmp37 = tmp36 / tmp31;
2022-11-23T01:30:19.4226787Z                         auto tmp38 = tmp11 < tmp8;
2022-11-23T01:30:19.4226877Z                         auto tmp39 = tmp12 < tmp10;
2022-11-23T01:30:19.4226967Z                         auto tmp40 = tmp38 & tmp39;
2022-11-23T01:30:19.4227073Z                         auto tmp41 = static_cast<float>(0.0);
2022-11-23T01:30:19.4227175Z                         auto tmp42 = tmp40 ? tmp37 : tmp41;
2022-11-23T01:30:19.4227265Z                         auto tmp43 = tmp6 + tmp13;
2022-11-23T01:30:19.4227344Z                         auto tmp44 = tmp43 * tmp13;
2022-11-23T01:30:19.4227481Z                         auto tmp45 = tmp44 - tmp13;
2022-11-23T01:30:19.4227570Z                         auto tmp46 = tmp45 + tmp14;
2022-11-23T01:30:19.4227675Z                         auto tmp47 = std::min(tmp46, tmp23);
2022-11-23T01:30:19.4227782Z                         auto tmp48 = std::max(tmp45, tmp4);
2022-11-23T01:30:19.4227885Z                         auto tmp49 = std::min(tmp47, tmp9);
2022-11-23T01:30:19.4228025Z                         auto tmp50 = tmp49 - tmp48;
2022-11-23T01:30:19.4228115Z                         auto tmp51 = tmp29 * tmp50;
2022-11-23T01:30:19.4228209Z                         auto tmp52 = std::min(tmp43, tmp34);
2022-11-23T01:30:19.4228315Z                         auto tmp53 = in_ptr0[tmp52 + (15*tmp33)];
2022-11-23T01:30:19.4228410Z                         auto tmp54 = tmp53 / tmp51;
2022-11-23T01:30:19.4228500Z                         auto tmp55 = tmp43 < tmp10;
2022-11-23T01:30:19.4228614Z                         auto tmp56 = tmp38 & tmp55;
2022-11-23T01:30:19.4228704Z                         auto tmp57 = tmp42 + tmp54;
2022-11-23T01:30:19.4228802Z                         auto tmp58 = tmp56 ? tmp57 : tmp42;
2022-11-23T01:30:19.4228892Z                         auto tmp59 = static_cast<int>(2);
2022-11-23T01:30:19.4228986Z                         auto tmp60 = tmp6 + tmp59;
2022-11-23T01:30:19.4229077Z                         auto tmp61 = tmp60 * tmp13;
2022-11-23T01:30:19.4229217Z                         auto tmp62 = tmp61 - tmp13;
2022-11-23T01:30:19.4229305Z                         auto tmp63 = tmp62 + tmp14;
2022-11-23T01:30:19.4229410Z                         auto tmp64 = std::min(tmp63, tmp23);
2022-11-23T01:30:19.4229513Z                         auto tmp65 = std::max(tmp62, tmp4);
2022-11-23T01:30:19.4229645Z                         auto tmp66 = std::min(tmp64, tmp9);
2022-11-23T01:30:19.4229772Z                         auto tmp67 = tmp66 - tmp65;
2022-11-23T01:30:19.4229862Z                         auto tmp68 = tmp29 * tmp67;
2022-11-23T01:30:19.4229967Z                         auto tmp69 = std::min(tmp60, tmp34);
2022-11-23T01:30:19.4230072Z                         auto tmp70 = in_ptr0[tmp69 + (15*tmp33)];
2022-11-23T01:30:19.4230164Z                         auto tmp71 = tmp70 / tmp68;
2022-11-23T01:30:19.4230252Z                         auto tmp72 = tmp60 < tmp10;
2022-11-23T01:30:19.4230342Z                         auto tmp73 = tmp38 & tmp72;
2022-11-23T01:30:19.4230418Z                         auto tmp74 = tmp58 + tmp71;
2022-11-23T01:30:19.4230519Z                         auto tmp75 = tmp73 ? tmp74 : tmp58;
2022-11-23T01:30:19.4230612Z                         auto tmp76 = tmp5 + tmp13;
2022-11-23T01:30:19.4230702Z                         auto tmp77 = tmp76 * tmp13;
2022-11-23T01:30:19.4230841Z                         auto tmp78 = tmp77 - tmp13;
2022-11-23T01:30:19.4230932Z                         auto tmp79 = tmp78 + tmp14;
2022-11-23T01:30:19.4231038Z                         auto tmp80 = std::min(tmp79, tmp20);
2022-11-23T01:30:19.4231140Z                         auto tmp81 = std::max(tmp78, tmp4);
2022-11-23T01:30:19.4231233Z                         auto tmp82 = std::min(tmp80, tmp7);
2022-11-23T01:30:19.4231373Z                         auto tmp83 = tmp82 - tmp81;
2022-11-23T01:30:19.4231462Z                         auto tmp84 = tmp83 * tmp30;
2022-11-23T01:30:19.4231566Z                         auto tmp85 = std::min(tmp76, tmp32);
2022-11-23T01:30:19.4231672Z                         auto tmp86 = in_ptr0[tmp35 + (15*tmp85)];
2022-11-23T01:30:19.4231764Z                         auto tmp87 = tmp86 / tmp84;
2022-11-23T01:30:19.4231856Z                         auto tmp88 = tmp76 < tmp8;
2022-11-23T01:30:19.4231946Z                         auto tmp89 = tmp88 & tmp39;
2022-11-23T01:30:19.4232022Z                         auto tmp90 = tmp75 + tmp87;
2022-11-23T01:30:19.4232123Z                         auto tmp91 = tmp89 ? tmp90 : tmp75;
2022-11-23T01:30:19.4232213Z                         auto tmp92 = tmp83 * tmp50;
2022-11-23T01:30:19.4232320Z                         auto tmp93 = in_ptr0[tmp52 + (15*tmp85)];
2022-11-23T01:30:19.4232410Z                         auto tmp94 = tmp93 / tmp92;
2022-11-23T01:30:19.4232499Z                         auto tmp95 = tmp88 & tmp55;
2022-11-23T01:30:19.4232587Z                         auto tmp96 = tmp91 + tmp94;
2022-11-23T01:30:19.4232674Z                         auto tmp97 = tmp95 ? tmp96 : tmp91;
2022-11-23T01:30:19.4232763Z                         auto tmp98 = tmp83 * tmp67;
2022-11-23T01:30:19.4232869Z                         auto tmp99 = in_ptr0[tmp69 + (15*tmp85)];
2022-11-23T01:30:19.4232964Z                         auto tmp100 = tmp99 / tmp98;
2022-11-23T01:30:19.4233055Z                         auto tmp101 = tmp88 & tmp72;
2022-11-23T01:30:19.4233149Z                         auto tmp102 = tmp97 + tmp100;
2022-11-23T01:30:19.4233255Z                         auto tmp103 = tmp101 ? tmp102 : tmp97;
2022-11-23T01:30:19.4233334Z                         auto tmp104 = tmp5 + tmp59;
2022-11-23T01:30:19.4233455Z                         auto tmp105 = tmp104 * tmp13;
2022-11-23T01:30:19.4233600Z                         auto tmp106 = tmp105 - tmp13;
2022-11-23T01:30:19.4233691Z                         auto tmp107 = tmp106 + tmp14;
2022-11-23T01:30:19.4233872Z                         auto tmp108 = std::min(tmp107, tmp20);
2022-11-23T01:30:19.4233982Z                         auto tmp109 = std::max(tmp106, tmp4);
2022-11-23T01:30:19.4234091Z                         auto tmp110 = std::min(tmp108, tmp7);
2022-11-23T01:30:19.4234244Z                         auto tmp111 = tmp110 - tmp109;
2022-11-23T01:30:19.4234325Z                         auto tmp112 = tmp111 * tmp30;
2022-11-23T01:30:19.4234432Z                         auto tmp113 = std::min(tmp104, tmp32);
2022-11-23T01:30:19.4234579Z                         auto tmp114 = in_ptr0[tmp35 + (15*tmp113)];
2022-11-23T01:30:19.4234674Z                         auto tmp115 = tmp114 / tmp112;
2022-11-23T01:30:19.4234771Z                         auto tmp116 = tmp104 < tmp8;
2022-11-23T01:30:19.4234868Z                         auto tmp117 = tmp116 & tmp39;
2022-11-23T01:30:19.4234963Z                         auto tmp118 = tmp103 + tmp115;
2022-11-23T01:30:19.4235066Z                         auto tmp119 = tmp117 ? tmp118 : tmp103;
2022-11-23T01:30:19.4235146Z                         auto tmp120 = tmp111 * tmp50;
2022-11-23T01:30:19.4235255Z                         auto tmp121 = in_ptr0[tmp52 + (15*tmp113)];
2022-11-23T01:30:19.4235349Z                         auto tmp122 = tmp121 / tmp120;
2022-11-23T01:30:19.4235443Z                         auto tmp123 = tmp116 & tmp55;
2022-11-23T01:30:19.4235535Z                         auto tmp124 = tmp119 + tmp122;
2022-11-23T01:30:19.4235635Z                         auto tmp125 = tmp123 ? tmp124 : tmp119;
2022-11-23T01:30:19.4235730Z                         auto tmp126 = tmp111 * tmp67;
2022-11-23T01:30:19.4235825Z                         auto tmp127 = in_ptr0[tmp69 + (15*tmp113)];
2022-11-23T01:30:19.4235921Z                         auto tmp128 = tmp127 / tmp126;
2022-11-23T01:30:19.4236014Z                         auto tmp129 = tmp116 & tmp72;
2022-11-23T01:30:19.4236107Z                         auto tmp130 = tmp125 + tmp128;
2022-11-23T01:30:19.4236208Z                         auto tmp131 = tmp129 ? tmp130 : tmp125;
2022-11-23T01:30:19.4236303Z                         out_ptr0[i1 + (15*i0)] = tmp131;
2022-11-23T01:30:19.4236369Z                     }
2022-11-23T01:30:19.4236421Z                 }
2022-11-23T01:30:19.4236484Z             }
2022-11-23T01:30:19.4236545Z         }
2022-11-23T01:30:19.4236610Z     }
2022-11-23T01:30:19.4236671Z }
2022-11-23T01:30:19.4236750Z ''')
2022-11-23T01:30:19.4236755Z 
2022-11-23T01:30:19.4236760Z 
2022-11-23T01:30:19.4236852Z async_compile.wait(globals())
2022-11-23T01:30:19.4236914Z del async_compile
2022-11-23T01:30:19.4236932Z 
2022-11-23T01:30:19.4236989Z def call(args):
2022-11-23T01:30:19.4237067Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4237140Z     args.clear()
2022-11-23T01:30:19.4237365Z     buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4237502Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4237571Z     del arg0_1
2022-11-23T01:30:19.4237644Z     return (buf0, )
2022-11-23T01:30:19.4237649Z 
2022-11-23T01:30:19.4237653Z 
2022-11-23T01:30:19.4237716Z if __name__ == "__main__":
2022-11-23T01:30:19.4237831Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4237957Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4238182Z     arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4238403Z     arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4238521Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4238929Z [2022-11-23 01:22:30,700] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4f/c4fwpc63jbeuughqsjqwyz4s4urlgj3yq52lybntq5bks4oqerw2.py
2022-11-23T01:30:19.4239191Z [2022-11-23 01:22:30,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 31
2022-11-23T01:30:19.4239196Z 
2022-11-23T01:30:19.4239264Z ok (1.572s)
2022-11-23T01:30:19.4239576Z   test_avg_pool2d_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:22:30,726] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4239891Z [2022-11-23 01:22:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4240109Z [2022-11-23 01:22:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4240391Z [2022-11-23 01:22:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4240671Z [2022-11-23 01:22:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4240990Z [2022-11-23 01:22:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4241339Z [2022-11-23 01:22:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4241663Z [2022-11-23 01:22:30,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4242039Z [2022-11-23 01:22:30,727] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2c30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078> 
2022-11-23T01:30:19.4242140Z  4079           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4242238Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:30:19.4242245Z 
2022-11-23T01:30:19.4242337Z 4080           4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4242342Z 
2022-11-23T01:30:19.4242433Z 4081           6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4242438Z 
2022-11-23T01:30:19.4242529Z 4082           8 LOAD_CONST               1 (1)
2022-11-23T01:30:19.4242619Z               10 LOAD_CONST               1 (1)
2022-11-23T01:30:19.4242708Z               12 BUILD_LIST               2
2022-11-23T01:30:19.4242713Z 
2022-11-23T01:30:19.4242800Z 4083          14 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4242887Z               16 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4242960Z               18 BUILD_LIST               2
2022-11-23T01:30:19.4242978Z 
2022-11-23T01:30:19.4243051Z 4084          20 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4243139Z               22 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4243224Z               24 BUILD_LIST               2
2022-11-23T01:30:19.4243229Z 
2022-11-23T01:30:19.4243320Z 4085          26 LOAD_CONST               4 (False)
2022-11-23T01:30:19.4243325Z 
2022-11-23T01:30:19.4243415Z 4086          28 LOAD_CONST               4 (False)
2022-11-23T01:30:19.4243420Z 
2022-11-23T01:30:19.4243512Z 4087          30 LOAD_CONST               0 (None)
2022-11-23T01:30:19.4243517Z 
2022-11-23T01:30:19.4243605Z 4079          32 CALL_METHOD              8
2022-11-23T01:30:19.4243684Z               34 RETURN_VALUE
2022-11-23T01:30:19.4243732Z  
2022-11-23T01:30:19.4243736Z 
2022-11-23T01:30:19.4244054Z [2022-11-23 01:22:30,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T01:30:19.4244275Z [2022-11-23 01:22:30,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4244603Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4244943Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4080
2022-11-23T01:30:19.4245214Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:30:19.4245522Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4081
2022-11-23T01:30:19.4245819Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:30:19.4246123Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4082
2022-11-23T01:30:19.4246482Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4246846Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4247242Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4247555Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4083
2022-11-23T01:30:19.4247907Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4248296Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4248728Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4249036Z [2022-11-23 01:22:30,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4084
2022-11-23T01:30:19.4249412Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4249820Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4250277Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4250587Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4085
2022-11-23T01:30:19.4250995Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4251304Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4086
2022-11-23T01:30:19.4251783Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.4252092Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4087
2022-11-23T01:30:19.4252570Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:30:19.4252877Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4079
2022-11-23T01:30:19.4253411Z [2022-11-23 01:22:30,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:30:19.4253729Z [2022-11-23 01:22:30,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4254108Z [2022-11-23 01:22:30,736] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2c30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4078>
2022-11-23T01:30:19.4254350Z [2022-11-23 01:22:30,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4254583Z [2022-11-23 01:22:30,736] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4254836Z [2022-11-23 01:22:30,737] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4255085Z [2022-11-23 01:22:30,740] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4255274Z [2022-11-23 01:22:30,740] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4255407Z  __compiled_fn_33 <eval_with_key>.212 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4255485Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4255569Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4255747Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], False, False, None), {}
2022-11-23T01:30:19.4255864Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:30:19.4255870Z 
2022-11-23T01:30:19.4256194Z [2022-11-23 01:22:30,741] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4256286Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4256375Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4256580Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4256682Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4256768Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4256856Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4256931Z              12 RETURN_VALUE
2022-11-23T01:30:19.4256936Z 
2022-11-23T01:30:19.4256997Z  
2022-11-23T01:30:19.4257321Z [2022-11-23 01:22:30,741] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4257431Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_33)
2022-11-23T01:30:19.4257520Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4257596Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4257674Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4257760Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4257849Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4257924Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4258011Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4258156Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4258221Z              18 RETURN_VALUE
2022-11-23T01:30:19.4258226Z 
2022-11-23T01:30:19.4258285Z  
2022-11-23T01:30:19.4258470Z [2022-11-23 01:22:30,741] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4258539Z  - 
2022-11-23T01:30:19.4258656Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4258720Z             {
2022-11-23T01:30:19.4258859Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4259033Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4259150Z                 'obj_weakref': None
2022-11-23T01:30:19.4259375Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4259479Z             }
2022-11-23T01:30:19.4259544Z             
2022-11-23T01:30:19.4259613Z  - 
2022-11-23T01:30:19.4259740Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4259792Z             {
2022-11-23T01:30:19.4259937Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4260044Z                 'code': None,
2022-11-23T01:30:19.4260254Z                 'obj_weakref': <weakref at 0x7ff59c13a4d0; to 'Tensor' at 0x7ff59c13a2a0>
2022-11-23T01:30:19.4260505Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4260567Z             }
2022-11-23T01:30:19.4260631Z             
2022-11-23T01:30:19.4260687Z  - 
2022-11-23T01:30:19.4260808Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4260870Z             {
2022-11-23T01:30:19.4261010Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4261119Z                 'code': None,
2022-11-23T01:30:19.4261327Z                 'obj_weakref': <weakref at 0x7ff58fe5b3d0; to 'Tensor' at 0x7ff58ff5bab0>
2022-11-23T01:30:19.4261583Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4261634Z             }
2022-11-23T01:30:19.4261695Z             
2022-11-23T01:30:19.4261761Z  - 
2022-11-23T01:30:19.4261891Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4261953Z             {
2022-11-23T01:30:19.4262084Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4262255Z                 'code': ['___check_obj_id(model, 140692862620080)'],
2022-11-23T01:30:19.4262361Z                 'obj_weakref': None
2022-11-23T01:30:19.4262587Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4262650Z             }
2022-11-23T01:30:19.4262712Z             
2022-11-23T01:30:19.4262779Z  - 
2022-11-23T01:30:19.4262898Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4262963Z             {
2022-11-23T01:30:19.4263085Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4263298Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4263415Z                 'obj_weakref': None
2022-11-23T01:30:19.4263633Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4263695Z             }
2022-11-23T01:30:19.4263758Z             
2022-11-23T01:30:19.4263825Z  - 
2022-11-23T01:30:19.4263942Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4264003Z             {
2022-11-23T01:30:19.4264121Z                 'guard_types': None,
2022-11-23T01:30:19.4264225Z                 'code': None,
2022-11-23T01:30:19.4264339Z                 'obj_weakref': None
2022-11-23T01:30:19.4264458Z                 'guarded_class': None
2022-11-23T01:30:19.4264519Z             }
2022-11-23T01:30:19.4264568Z             
2022-11-23T01:30:19.4264822Z [2022-11-23 01:22:30,746] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 32
2022-11-23T01:30:19.4265238Z [2022-11-23 01:22:32,210] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqtm6qgesnpya34layj4pkyr334dqtppoctezdxrpxgmx3sz2ci.py
2022-11-23T01:30:19.4265503Z [2022-11-23 01:22:32,211] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 32
2022-11-23T01:30:19.4265509Z 
2022-11-23T01:30:19.4265602Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4265669Z import torch
2022-11-23T01:30:19.4265736Z import random
2022-11-23T01:30:19.4265850Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4265958Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4265963Z 
2022-11-23T01:30:19.4266039Z aten = torch.ops.aten
2022-11-23T01:30:19.4266170Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4266260Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4266294Z 
2022-11-23T01:30:19.4266299Z 
2022-11-23T01:30:19.4266431Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4266639Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4266757Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4266855Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4266904Z {
2022-11-23T01:30:19.4267002Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4267065Z     {
2022-11-23T01:30:19.4267141Z         #pragma omp for 
2022-11-23T01:30:19.4267224Z         for(long i0=0; i0<2016; i0+=1)
2022-11-23T01:30:19.4267287Z         {
2022-11-23T01:30:19.4267354Z             #pragma GCC ivdep
2022-11-23T01:30:19.4267438Z             for(long i1=0; i1<21; i1+=1)
2022-11-23T01:30:19.4267501Z             {
2022-11-23T01:30:19.4267580Z                 #pragma GCC ivdep
2022-11-23T01:30:19.4267669Z                 for(long i2=0; i2<21; i2+=1)
2022-11-23T01:30:19.4267734Z                 {
2022-11-23T01:30:19.4267799Z                     {
2022-11-23T01:30:19.4267856Z                         {
2022-11-23T01:30:19.4267970Z                             auto tmp0 = static_cast<int>(((1 + i1) / 2));
2022-11-23T01:30:19.4268082Z                             auto tmp1 = static_cast<int>(((1 + i2) / 2));
2022-11-23T01:30:19.4268197Z                             auto tmp2 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:30:19.4268308Z                             auto tmp3 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:30:19.4268413Z                             auto tmp4 = static_cast<int>(0);
2022-11-23T01:30:19.4268524Z                             auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:30:19.4268630Z                             auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:30:19.4268719Z                             auto tmp7 = static_cast<int>(11);
2022-11-23T01:30:19.4268820Z                             auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:30:19.4268924Z                             auto tmp9 = std::min(tmp3, tmp7);
2022-11-23T01:30:19.4269020Z                             auto tmp10 = tmp5 + tmp4;
2022-11-23T01:30:19.4269116Z                             auto tmp11 = tmp6 + tmp4;
2022-11-23T01:30:19.4269216Z                             auto tmp12 = static_cast<int>(1);
2022-11-23T01:30:19.4269364Z                             auto tmp13 = tmp8 - tmp12;
2022-11-23T01:30:19.4269472Z                             auto tmp14 = std::min(tmp10, tmp13);
2022-11-23T01:30:19.4269605Z                             auto tmp15 = tmp9 - tmp12;
2022-11-23T01:30:19.4269712Z                             auto tmp16 = std::min(tmp11, tmp15);
2022-11-23T01:30:19.4269829Z                             auto tmp17 = in_ptr0[tmp16 + (11*tmp14) + (121*i0)];
2022-11-23T01:30:19.4269923Z                             auto tmp18 = tmp17 / 1;
2022-11-23T01:30:19.4270017Z                             auto tmp19 = tmp10 < tmp8;
2022-11-23T01:30:19.4270111Z                             auto tmp20 = tmp11 < tmp9;
2022-11-23T01:30:19.4270209Z                             auto tmp21 = tmp19 & tmp20;
2022-11-23T01:30:19.4270304Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:30:19.4270435Z                             auto tmp23 = tmp21 ? tmp18 : tmp22;
2022-11-23T01:30:19.4270544Z                             out_ptr0[i2 + (21*i1) + (441*i0)] = tmp23;
2022-11-23T01:30:19.4270615Z                         }
2022-11-23T01:30:19.4270681Z                     }
2022-11-23T01:30:19.4270745Z                 }
2022-11-23T01:30:19.4270807Z             }
2022-11-23T01:30:19.4270857Z         }
2022-11-23T01:30:19.4270917Z     }
2022-11-23T01:30:19.4270977Z }
2022-11-23T01:30:19.4271055Z ''')
2022-11-23T01:30:19.4271060Z 
2022-11-23T01:30:19.4271064Z 
2022-11-23T01:30:19.4271155Z async_compile.wait(globals())
2022-11-23T01:30:19.4271230Z del async_compile
2022-11-23T01:30:19.4271234Z 
2022-11-23T01:30:19.4271302Z def call(args):
2022-11-23T01:30:19.4271376Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4271465Z     args.clear()
2022-11-23T01:30:19.4271690Z     buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4271824Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4271892Z     del arg0_1
2022-11-23T01:30:19.4271962Z     return (buf0, )
2022-11-23T01:30:19.4271966Z 
2022-11-23T01:30:19.4271970Z 
2022-11-23T01:30:19.4272044Z if __name__ == "__main__":
2022-11-23T01:30:19.4272155Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4272264Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4272489Z     arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4272707Z     arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4272823Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4272830Z 
2022-11-23T01:30:19.4272896Z ok (1.526s)
2022-11-23T01:30:19.4273222Z   test_avg_pool2d_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:22:32,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4273537Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4273753Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4274088Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4274353Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4274672Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4275019Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4275344Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4275721Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4101> 
2022-11-23T01:30:19.4275815Z  4102           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4275925Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:30:19.4275930Z 
2022-11-23T01:30:19.4276023Z 4103           4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4276028Z 
2022-11-23T01:30:19.4276116Z 4104           6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4276120Z 
2022-11-23T01:30:19.4276214Z 4105           8 LOAD_CONST               1 (13)
2022-11-23T01:30:19.4276292Z               10 LOAD_CONST               1 (13)
2022-11-23T01:30:19.4276381Z               12 BUILD_LIST               2
2022-11-23T01:30:19.4276421Z 
2022-11-23T01:30:19.4276516Z 4106          14 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4276602Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4276688Z               18 BUILD_LIST               2
2022-11-23T01:30:19.4276693Z 
2022-11-23T01:30:19.4276778Z 4107          20 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4276862Z               22 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4276946Z               24 BUILD_LIST               2
2022-11-23T01:30:19.4276951Z 
2022-11-23T01:30:19.4277031Z 4108          26 LOAD_CONST               4 (True)
2022-11-23T01:30:19.4277047Z 
2022-11-23T01:30:19.4277126Z 4109          28 LOAD_CONST               5 (False)
2022-11-23T01:30:19.4277131Z 
2022-11-23T01:30:19.4277219Z 4110          30 LOAD_CONST               0 (None)
2022-11-23T01:30:19.4277252Z 
2022-11-23T01:30:19.4277338Z 4102          32 CALL_METHOD              8
2022-11-23T01:30:19.4277414Z               34 RETURN_VALUE
2022-11-23T01:30:19.4277476Z  
2022-11-23T01:30:19.4277480Z 
2022-11-23T01:30:19.4277797Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102
2022-11-23T01:30:19.4278015Z [2022-11-23 01:22:32,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4278344Z [2022-11-23 01:22:32,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4278653Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4103
2022-11-23T01:30:19.4278908Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:30:19.4279218Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4104
2022-11-23T01:30:19.4279517Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:30:19.4279820Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4105
2022-11-23T01:30:19.4280148Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4280514Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4280922Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4281230Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4106
2022-11-23T01:30:19.4281581Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4281967Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4282395Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4282736Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4107
2022-11-23T01:30:19.4283108Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4283504Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4283958Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4284269Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4108
2022-11-23T01:30:19.4284709Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4285022Z [2022-11-23 01:22:32,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4109
2022-11-23T01:30:19.4285472Z [2022-11-23 01:22:32,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.4285782Z [2022-11-23 01:22:32,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4110
2022-11-23T01:30:19.4286275Z [2022-11-23 01:22:32,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:30:19.4286586Z [2022-11-23 01:22:32,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4102
2022-11-23T01:30:19.4287120Z [2022-11-23 01:22:32,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:30:19.4287368Z [2022-11-23 01:22:32,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4287750Z [2022-11-23 01:22:32,241] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4101>
2022-11-23T01:30:19.4288000Z [2022-11-23 01:22:32,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4288237Z [2022-11-23 01:22:32,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4288477Z [2022-11-23 01:22:32,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4288726Z [2022-11-23 01:22:32,245] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4288914Z [2022-11-23 01:22:32,245] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4289051Z  __compiled_fn_34 <eval_with_key>.218 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4289142Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4289229Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4289408Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [0, 0], True, False, None), {}
2022-11-23T01:30:19.4289559Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:30:19.4289565Z 
2022-11-23T01:30:19.4289874Z [2022-11-23 01:22:32,246] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4289969Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4290061Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4290150Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4290245Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4290335Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4290424Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4290501Z              12 RETURN_VALUE
2022-11-23T01:30:19.4290507Z 
2022-11-23T01:30:19.4290555Z  
2022-11-23T01:30:19.4290907Z [2022-11-23 01:22:32,246] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4291018Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_34)
2022-11-23T01:30:19.4291108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4291199Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4291276Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4291366Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4291441Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4291518Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4291609Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4291700Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4291777Z              18 RETURN_VALUE
2022-11-23T01:30:19.4291782Z 
2022-11-23T01:30:19.4291844Z  
2022-11-23T01:30:19.4292027Z [2022-11-23 01:22:32,246] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4292100Z  - 
2022-11-23T01:30:19.4292206Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4292273Z             {
2022-11-23T01:30:19.4292418Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4292605Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4292727Z                 'obj_weakref': None
2022-11-23T01:30:19.4292950Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4293017Z             }
2022-11-23T01:30:19.4293067Z             
2022-11-23T01:30:19.4293137Z  - 
2022-11-23T01:30:19.4293261Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4293327Z             {
2022-11-23T01:30:19.4293471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4293575Z                 'code': None,
2022-11-23T01:30:19.4293772Z                 'obj_weakref': <weakref at 0x7ff58fe74810; to 'Tensor' at 0x7ff5ad9171a0>
2022-11-23T01:30:19.4294026Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4294088Z             }
2022-11-23T01:30:19.4294151Z             
2022-11-23T01:30:19.4294218Z  - 
2022-11-23T01:30:19.4294338Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4294400Z             {
2022-11-23T01:30:19.4294527Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4294631Z                 'code': None,
2022-11-23T01:30:19.4294843Z                 'obj_weakref': <weakref at 0x7ff58fe75cb0; to 'Tensor' at 0x7ff6383f4310>
2022-11-23T01:30:19.4295092Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4295156Z             }
2022-11-23T01:30:19.4295217Z             
2022-11-23T01:30:19.4295284Z  - 
2022-11-23T01:30:19.4295413Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4295462Z             {
2022-11-23T01:30:19.4295596Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4295765Z                 'code': ['___check_obj_id(model, 140692862623968)'],
2022-11-23T01:30:19.4295911Z                 'obj_weakref': None
2022-11-23T01:30:19.4296144Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4296205Z             }
2022-11-23T01:30:19.4296268Z             
2022-11-23T01:30:19.4296323Z  - 
2022-11-23T01:30:19.4296547Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4296612Z             {
2022-11-23T01:30:19.4296750Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4296965Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4297084Z                 'obj_weakref': None
2022-11-23T01:30:19.4297304Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4297355Z             }
2022-11-23T01:30:19.4297503Z             
2022-11-23T01:30:19.4297571Z  - 
2022-11-23T01:30:19.4297702Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4297765Z             {
2022-11-23T01:30:19.4297886Z                 'guard_types': None,
2022-11-23T01:30:19.4297980Z                 'code': None,
2022-11-23T01:30:19.4298095Z                 'obj_weakref': None
2022-11-23T01:30:19.4298215Z                 'guarded_class': None
2022-11-23T01:30:19.4298277Z             }
2022-11-23T01:30:19.4298339Z             
2022-11-23T01:30:19.4298598Z [2022-11-23 01:22:32,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 33
2022-11-23T01:30:19.4298837Z [2022-11-23 01:22:32,254] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d_backward
2022-11-23T01:30:19.4299197Z [2022-11-23 01:22:32,256] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/37/c37phnzohstu2bnctx63h2ybszr3lpto2zu2sicmt5a64t35h3aw.py
2022-11-23T01:30:19.4299445Z [2022-11-23 01:22:32,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 33
2022-11-23T01:30:19.4299467Z 
2022-11-23T01:30:19.4299547Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4299619Z import torch
2022-11-23T01:30:19.4299689Z import random
2022-11-23T01:30:19.4299802Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4299919Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4299924Z 
2022-11-23T01:30:19.4300002Z aten = torch.ops.aten
2022-11-23T01:30:19.4300134Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4300214Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4300219Z 
2022-11-23T01:30:19.4300224Z 
2022-11-23T01:30:19.4300310Z async_compile.wait(globals())
2022-11-23T01:30:19.4300381Z del async_compile
2022-11-23T01:30:19.4300386Z 
2022-11-23T01:30:19.4300456Z def call(args):
2022-11-23T01:30:19.4300533Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4300603Z     args.clear()
2022-11-23T01:30:19.4300748Z     buf0 = aten.avg_pool2d_backward(arg0_1, arg1_1, [13, 13], [1, 1], [0, 0], True, False, None)
2022-11-23T01:30:19.4300803Z     del arg0_1
2022-11-23T01:30:19.4300868Z     del arg1_1
2022-11-23T01:30:19.4300937Z     buf1 = buf0
2022-11-23T01:30:19.4301044Z     assert_size_stride(buf1, (1, 16, 24, 24), (9216, 576, 24, 1))
2022-11-23T01:30:19.4301108Z     del buf0
2022-11-23T01:30:19.4301177Z     return (buf1, )
2022-11-23T01:30:19.4301182Z 
2022-11-23T01:30:19.4301187Z 
2022-11-23T01:30:19.4301260Z if __name__ == "__main__":
2022-11-23T01:30:19.4301371Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4301481Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4301700Z     arg0_1 = rand_strided((1, 16, 12, 12), (2304, 144, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4301918Z     arg1_1 = rand_strided((1, 16, 24, 24), (9216, 576, 24, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4302031Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4302038Z 
2022-11-23T01:30:19.4302104Z ok (0.032s)
2022-11-23T01:30:19.4302466Z   test_avg_pool2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:22:32,263] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4302784Z [2022-11-23 01:22:32,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4303002Z [2022-11-23 01:22:32,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4303250Z [2022-11-23 01:22:32,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4303514Z [2022-11-23 01:22:32,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4303832Z [2022-11-23 01:22:32,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4304204Z [2022-11-23 01:22:32,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4304525Z [2022-11-23 01:22:32,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4304901Z [2022-11-23 01:22:32,264] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036> 
2022-11-23T01:30:19.4304994Z  4037           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4305102Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:30:19.4305108Z 
2022-11-23T01:30:19.4305198Z 4038           4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4305203Z 
2022-11-23T01:30:19.4305289Z 4039           6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4305295Z 
2022-11-23T01:30:19.4305383Z 4040           8 LOAD_CONST               1 (2)
2022-11-23T01:30:19.4305457Z               10 LOAD_CONST               1 (2)
2022-11-23T01:30:19.4305545Z               12 BUILD_LIST               2
2022-11-23T01:30:19.4305549Z 
2022-11-23T01:30:19.4305634Z 4041          14 LOAD_CONST               1 (2)
2022-11-23T01:30:19.4305721Z               16 LOAD_CONST               1 (2)
2022-11-23T01:30:19.4305804Z               18 BUILD_LIST               2
2022-11-23T01:30:19.4305809Z 
2022-11-23T01:30:19.4305894Z 4042          20 LOAD_CONST               2 (0)
2022-11-23T01:30:19.4305978Z               22 LOAD_CONST               2 (0)
2022-11-23T01:30:19.4306064Z               24 BUILD_LIST               2
2022-11-23T01:30:19.4306070Z 
2022-11-23T01:30:19.4306149Z 4043          26 LOAD_CONST               3 (True)
2022-11-23T01:30:19.4306155Z 
2022-11-23T01:30:19.4306243Z 4044          28 LOAD_CONST               4 (False)
2022-11-23T01:30:19.4306250Z 
2022-11-23T01:30:19.4306336Z 4045          30 LOAD_CONST               0 (None)
2022-11-23T01:30:19.4306341Z 
2022-11-23T01:30:19.4306425Z 4037          32 CALL_METHOD              8
2022-11-23T01:30:19.4306505Z               34 RETURN_VALUE
2022-11-23T01:30:19.4306566Z  
2022-11-23T01:30:19.4306571Z 
2022-11-23T01:30:19.4306886Z [2022-11-23 01:22:32,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T01:30:19.4307105Z [2022-11-23 01:22:32,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4307432Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4307730Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4038
2022-11-23T01:30:19.4307999Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:30:19.4308359Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4039
2022-11-23T01:30:19.4308656Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:30:19.4308962Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4040
2022-11-23T01:30:19.4309291Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4309656Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4310092Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4310404Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4041
2022-11-23T01:30:19.4310756Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4311144Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4311572Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4311887Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4042
2022-11-23T01:30:19.4312251Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4312661Z [2022-11-23 01:22:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4313118Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4313432Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4043
2022-11-23T01:30:19.4313914Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.4314227Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4044
2022-11-23T01:30:19.4314672Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.4314979Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4045
2022-11-23T01:30:19.4315507Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:30:19.4315814Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4037
2022-11-23T01:30:19.4316345Z [2022-11-23 01:22:32,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:30:19.4316594Z [2022-11-23 01:22:32,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4317039Z [2022-11-23 01:22:32,272] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4036>
2022-11-23T01:30:19.4317364Z [2022-11-23 01:22:32,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4317585Z [2022-11-23 01:22:32,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4317840Z [2022-11-23 01:22:32,273] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4318091Z [2022-11-23 01:22:32,276] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4318277Z [2022-11-23 01:22:32,276] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4318411Z  __compiled_fn_35 <eval_with_key>.224 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4318502Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4318591Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4318767Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], True, False, None), {}
2022-11-23T01:30:19.4318872Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:30:19.4318892Z 
2022-11-23T01:30:19.4319201Z [2022-11-23 01:22:32,277] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4319293Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4319383Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4319473Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4319565Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4319653Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4319739Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4319801Z              12 RETURN_VALUE
2022-11-23T01:30:19.4319822Z 
2022-11-23T01:30:19.4319871Z  
2022-11-23T01:30:19.4320192Z [2022-11-23 01:22:32,277] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4320299Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_35)
2022-11-23T01:30:19.4320388Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4320475Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4320550Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4320637Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4320710Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4320785Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4320871Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4320962Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4321036Z              18 RETURN_VALUE
2022-11-23T01:30:19.4321041Z 
2022-11-23T01:30:19.4321101Z  
2022-11-23T01:30:19.4321283Z [2022-11-23 01:22:32,277] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4321339Z  - 
2022-11-23T01:30:19.4321457Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4321553Z             {
2022-11-23T01:30:19.4321694Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4321882Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4322000Z                 'obj_weakref': None
2022-11-23T01:30:19.4322221Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4322273Z             }
2022-11-23T01:30:19.4322335Z             
2022-11-23T01:30:19.4322402Z  - 
2022-11-23T01:30:19.4322524Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4322585Z             {
2022-11-23T01:30:19.4322724Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4322829Z                 'code': None,
2022-11-23T01:30:19.4323029Z                 'obj_weakref': <weakref at 0x7ff58fe9ae30; to 'Tensor' at 0x7ff59c09ba10>
2022-11-23T01:30:19.4323312Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4323377Z             }
2022-11-23T01:30:19.4323442Z             
2022-11-23T01:30:19.4323509Z  - 
2022-11-23T01:30:19.4323631Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4323694Z             {
2022-11-23T01:30:19.4323822Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4323928Z                 'code': None,
2022-11-23T01:30:19.4324139Z                 'obj_weakref': <weakref at 0x7ff58fe9be20; to 'Tensor' at 0x7ff58fe5b880>
2022-11-23T01:30:19.4324392Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4324455Z             }
2022-11-23T01:30:19.4324517Z             
2022-11-23T01:30:19.4324583Z  - 
2022-11-23T01:30:19.4324701Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4324765Z             {
2022-11-23T01:30:19.4324898Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4325072Z                 'code': ['___check_obj_id(model, 140692659484512)'],
2022-11-23T01:30:19.4325189Z                 'obj_weakref': None
2022-11-23T01:30:19.4325421Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4325483Z             }
2022-11-23T01:30:19.4325532Z             
2022-11-23T01:30:19.4325598Z  - 
2022-11-23T01:30:19.4325717Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4325779Z             {
2022-11-23T01:30:19.4325911Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4326124Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4326239Z                 'obj_weakref': None
2022-11-23T01:30:19.4326444Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4326508Z             }
2022-11-23T01:30:19.4326568Z             
2022-11-23T01:30:19.4326634Z  - 
2022-11-23T01:30:19.4326763Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4326828Z             {
2022-11-23T01:30:19.4326945Z                 'guard_types': None,
2022-11-23T01:30:19.4327038Z                 'code': None,
2022-11-23T01:30:19.4327153Z                 'obj_weakref': None
2022-11-23T01:30:19.4327272Z                 'guarded_class': None
2022-11-23T01:30:19.4327333Z             }
2022-11-23T01:30:19.4327394Z             
2022-11-23T01:30:19.4327694Z [2022-11-23 01:22:32,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 34
2022-11-23T01:30:19.4328194Z [2022-11-23 01:22:33,761] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x5/cx5ovbk6dwhnbchspqoj7qryrqi5bnwurbgtsptbv2rep42jnncs.py
2022-11-23T01:30:19.4328448Z [2022-11-23 01:22:33,761] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 34
2022-11-23T01:30:19.4328469Z 
2022-11-23T01:30:19.4328550Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4328618Z import torch
2022-11-23T01:30:19.4328685Z import random
2022-11-23T01:30:19.4328844Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4328965Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4328971Z 
2022-11-23T01:30:19.4329047Z aten = torch.ops.aten
2022-11-23T01:30:19.4329178Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4329256Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4329261Z 
2022-11-23T01:30:19.4329277Z 
2022-11-23T01:30:19.4329398Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4329602Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4329722Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4329820Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4329912Z {
2022-11-23T01:30:19.4330011Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4330071Z     {
2022-11-23T01:30:19.4330135Z         #pragma omp for 
2022-11-23T01:30:19.4330219Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.4330281Z         {
2022-11-23T01:30:19.4330360Z             #pragma GCC ivdep
2022-11-23T01:30:19.4330446Z             for(long i1=0; i1<14; i1+=1)
2022-11-23T01:30:19.4330511Z             {
2022-11-23T01:30:19.4330579Z                 #pragma GCC ivdep
2022-11-23T01:30:19.4330670Z                 for(long i2=0; i2<14; i2+=1)
2022-11-23T01:30:19.4330736Z                 {
2022-11-23T01:30:19.4330804Z                     {
2022-11-23T01:30:19.4330875Z                         {
2022-11-23T01:30:19.4330989Z                             auto tmp0 = static_cast<int>((i1 / 2));
2022-11-23T01:30:19.4331098Z                             auto tmp1 = static_cast<int>((i2 / 2));
2022-11-23T01:30:19.4331198Z                             auto tmp2 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:30:19.4331312Z                             auto tmp3 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:30:19.4331420Z                             auto tmp4 = static_cast<int>(0);
2022-11-23T01:30:19.4331542Z                             auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:30:19.4331652Z                             auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:30:19.4331757Z                             auto tmp7 = static_cast<int>(7);
2022-11-23T01:30:19.4331866Z                             auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:30:19.4331972Z                             auto tmp9 = std::min(tmp3, tmp7);
2022-11-23T01:30:19.4332056Z                             auto tmp10 = tmp5 + tmp4;
2022-11-23T01:30:19.4332152Z                             auto tmp11 = tmp6 + tmp4;
2022-11-23T01:30:19.4332255Z                             auto tmp12 = static_cast<int>(1);
2022-11-23T01:30:19.4332407Z                             auto tmp13 = tmp8 - tmp12;
2022-11-23T01:30:19.4332519Z                             auto tmp14 = std::min(tmp10, tmp13);
2022-11-23T01:30:19.4332667Z                             auto tmp15 = tmp9 - tmp12;
2022-11-23T01:30:19.4332777Z                             auto tmp16 = std::min(tmp11, tmp15);
2022-11-23T01:30:19.4332897Z                             auto tmp17 = in_ptr0[tmp16 + (7*tmp14) + (49*i0)];
2022-11-23T01:30:19.4332979Z                             auto tmp18 = tmp17 / 4;
2022-11-23T01:30:19.4333077Z                             auto tmp19 = tmp10 < tmp8;
2022-11-23T01:30:19.4333176Z                             auto tmp20 = tmp11 < tmp9;
2022-11-23T01:30:19.4333273Z                             auto tmp21 = tmp19 & tmp20;
2022-11-23T01:30:19.4333383Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:30:19.4333493Z                             auto tmp23 = tmp21 ? tmp18 : tmp22;
2022-11-23T01:30:19.4333600Z                             out_ptr0[i2 + (14*i1) + (196*i0)] = tmp23;
2022-11-23T01:30:19.4333670Z                         }
2022-11-23T01:30:19.4333727Z                     }
2022-11-23T01:30:19.4333792Z                 }
2022-11-23T01:30:19.4333858Z             }
2022-11-23T01:30:19.4333922Z         }
2022-11-23T01:30:19.4334015Z     }
2022-11-23T01:30:19.4334077Z }
2022-11-23T01:30:19.4334143Z ''')
2022-11-23T01:30:19.4334148Z 
2022-11-23T01:30:19.4334166Z 
2022-11-23T01:30:19.4334246Z async_compile.wait(globals())
2022-11-23T01:30:19.4334320Z del async_compile
2022-11-23T01:30:19.4334325Z 
2022-11-23T01:30:19.4334396Z def call(args):
2022-11-23T01:30:19.4334473Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4334547Z     args.clear()
2022-11-23T01:30:19.4334766Z     buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4334900Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4334955Z     del arg0_1
2022-11-23T01:30:19.4335027Z     return (buf0, )
2022-11-23T01:30:19.4335032Z 
2022-11-23T01:30:19.4335065Z 
2022-11-23T01:30:19.4335142Z if __name__ == "__main__":
2022-11-23T01:30:19.4335258Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4335383Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4335596Z     arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4335811Z     arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4335924Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4335928Z 
2022-11-23T01:30:19.4335982Z ok (1.503s)
2022-11-23T01:30:19.4336289Z   test_baddbmm_cpu (__main__.CpuTests) ... [2022-11-23 01:22:33,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4336704Z [2022-11-23 01:22:33,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4336924Z [2022-11-23 01:22:33,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4337182Z [2022-11-23 01:22:33,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4337460Z [2022-11-23 01:22:33,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4337781Z [2022-11-23 01:22:33,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4338126Z [2022-11-23 01:22:33,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4338447Z [2022-11-23 01:22:33,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4338971Z [2022-11-23 01:22:33,769] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e31b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409> 
2022-11-23T01:30:19.4339059Z  3410           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4339204Z                2 LOAD_METHOD              1 (baddbmm)
2022-11-23T01:30:19.4339338Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4339481Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4339584Z                8 LOAD_FAST                2 (c)
2022-11-23T01:30:19.4339671Z               10 CALL_METHOD              3
2022-11-23T01:30:19.4339745Z               12 RETURN_VALUE
2022-11-23T01:30:19.4339793Z  
2022-11-23T01:30:19.4339811Z 
2022-11-23T01:30:19.4340117Z [2022-11-23 01:22:33,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3410
2022-11-23T01:30:19.4340329Z [2022-11-23 01:22:33,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4340637Z [2022-11-23 01:22:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR baddbmm [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4340949Z [2022-11-23 01:22:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.baddbmm)]
2022-11-23T01:30:19.4341234Z [2022-11-23 01:22:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.baddbmm), TensorVariable()]
2022-11-23T01:30:19.4341542Z [2022-11-23 01:22:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4341889Z [2022-11-23 01:22:33,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4342137Z [2022-11-23 01:22:33,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4342554Z [2022-11-23 01:22:33,776] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e31b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3409>
2022-11-23T01:30:19.4342799Z [2022-11-23 01:22:33,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4343019Z [2022-11-23 01:22:33,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4343271Z [2022-11-23 01:22:33,777] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4343521Z [2022-11-23 01:22:33,780] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4343708Z [2022-11-23 01:22:33,780] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4343839Z  __compiled_fn_36 <eval_with_key>.230 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4343931Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4344019Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4344101Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.4344212Z call_function, baddbmm, aten.baddbmm, (ex_0_, ex_1_, ex_2_), {}
2022-11-23T01:30:19.4344313Z output, output, output, ((baddbmm,),), {}
2022-11-23T01:30:19.4344318Z 
2022-11-23T01:30:19.4344640Z [2022-11-23 01:22:33,780] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4344732Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4344823Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4344908Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4344999Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4345083Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4345159Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4345233Z              12 RETURN_VALUE
2022-11-23T01:30:19.4345241Z 
2022-11-23T01:30:19.4345301Z  
2022-11-23T01:30:19.4345626Z [2022-11-23 01:22:33,780] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4345732Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_36)
2022-11-23T01:30:19.4345821Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4345908Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4345972Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4346058Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4346142Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4346216Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4346301Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4346385Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.4346458Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.4346532Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.4346622Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4346695Z              24 RETURN_VALUE
2022-11-23T01:30:19.4346700Z 
2022-11-23T01:30:19.4346759Z  
2022-11-23T01:30:19.4346969Z [2022-11-23 01:22:33,781] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4347039Z  - 
2022-11-23T01:30:19.4347158Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4347211Z             {
2022-11-23T01:30:19.4347350Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4347534Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.4347651Z                 'obj_weakref': None
2022-11-23T01:30:19.4347872Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4347935Z             }
2022-11-23T01:30:19.4347998Z             
2022-11-23T01:30:19.4348053Z  - 
2022-11-23T01:30:19.4348174Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4348267Z             {
2022-11-23T01:30:19.4348408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4348512Z                 'code': None,
2022-11-23T01:30:19.4348725Z                 'obj_weakref': <weakref at 0x7ff58fe3c090; to 'Tensor' at 0x7ff58ff5b8d0>
2022-11-23T01:30:19.4348975Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4349038Z             }
2022-11-23T01:30:19.4349088Z             
2022-11-23T01:30:19.4349154Z  - 
2022-11-23T01:30:19.4349277Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4349339Z             {
2022-11-23T01:30:19.4349479Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4349583Z                 'code': None,
2022-11-23T01:30:19.4349780Z                 'obj_weakref': <weakref at 0x7ff58fe3e840; to 'Tensor' at 0x7ff58ff5bc90>
2022-11-23T01:30:19.4350076Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4350176Z             }
2022-11-23T01:30:19.4350272Z             
2022-11-23T01:30:19.4350358Z  - 
2022-11-23T01:30:19.4350547Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.4350612Z             {
2022-11-23T01:30:19.4350743Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4350848Z                 'code': None,
2022-11-23T01:30:19.4351056Z                 'obj_weakref': <weakref at 0x7ff58fe3c4a0; to 'Tensor' at 0x7ff58ff5be20>
2022-11-23T01:30:19.4351304Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4351367Z             }
2022-11-23T01:30:19.4351429Z             
2022-11-23T01:30:19.4351498Z  - 
2022-11-23T01:30:19.4351626Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4351675Z             {
2022-11-23T01:30:19.4351806Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4351977Z                 'code': ['___check_obj_id(model, 140692659475584)'],
2022-11-23T01:30:19.4352097Z                 'obj_weakref': None
2022-11-23T01:30:19.4352328Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4352390Z             }
2022-11-23T01:30:19.4352451Z             
2022-11-23T01:30:19.4352508Z  - 
2022-11-23T01:30:19.4352627Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4352689Z             {
2022-11-23T01:30:19.4352823Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4353039Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4353155Z                 'obj_weakref': None
2022-11-23T01:30:19.4353373Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4353425Z             }
2022-11-23T01:30:19.4353486Z             
2022-11-23T01:30:19.4353553Z  - 
2022-11-23T01:30:19.4353681Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4353746Z             {
2022-11-23T01:30:19.4353934Z                 'guard_types': None,
2022-11-23T01:30:19.4354031Z                 'code': None,
2022-11-23T01:30:19.4354206Z                 'obj_weakref': None
2022-11-23T01:30:19.4354327Z                 'guarded_class': None
2022-11-23T01:30:19.4354389Z             }
2022-11-23T01:30:19.4354451Z             
2022-11-23T01:30:19.4354711Z [2022-11-23 01:22:33,787] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 35
2022-11-23T01:30:19.4355083Z [2022-11-23 01:22:35,219] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq3wxeskp6hrtkcrsekpyjqqzkemn7zentfyduoxlgkq2g2uprdz.py
2022-11-23T01:30:19.4355349Z [2022-11-23 01:22:35,219] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 35
2022-11-23T01:30:19.4355355Z 
2022-11-23T01:30:19.4355435Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4355506Z import torch
2022-11-23T01:30:19.4355612Z import random
2022-11-23T01:30:19.4355727Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4355846Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4355853Z 
2022-11-23T01:30:19.4355931Z aten = torch.ops.aten
2022-11-23T01:30:19.4356062Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4356152Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4356157Z 
2022-11-23T01:30:19.4356162Z 
2022-11-23T01:30:19.4356281Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4356484Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4356600Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.4356702Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:30:19.4356762Z {
2022-11-23T01:30:19.4356859Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4356919Z     {
2022-11-23T01:30:19.4356996Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.4357077Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:19.4357139Z         {
2022-11-23T01:30:19.4357223Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:19.4357287Z             {
2022-11-23T01:30:19.4357375Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:30:19.4357439Z                 {
2022-11-23T01:30:19.4357579Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (100*i0));
2022-11-23T01:30:19.4357730Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T01:30:19.4357819Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4357932Z                     tmp2.store(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T01:30:19.4357996Z                 }
2022-11-23T01:30:19.4358091Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.4358178Z                 for(long i2=96; i2<100; i2+=1)
2022-11-23T01:30:19.4358244Z                 {
2022-11-23T01:30:19.4358331Z                     auto tmp0 = in_ptr0[i2 + (100*i0)];
2022-11-23T01:30:19.4358441Z                     auto tmp1 = in_out_ptr0[i2 + (100*i1) + (12800*i0)];
2022-11-23T01:30:19.4358531Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4358633Z                     in_out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp2;
2022-11-23T01:30:19.4358697Z                 }
2022-11-23T01:30:19.4358758Z             }
2022-11-23T01:30:19.4358820Z         }
2022-11-23T01:30:19.4358869Z     }
2022-11-23T01:30:19.4358928Z }
2022-11-23T01:30:19.4359005Z ''')
2022-11-23T01:30:19.4359010Z 
2022-11-23T01:30:19.4359015Z 
2022-11-23T01:30:19.4359103Z async_compile.wait(globals())
2022-11-23T01:30:19.4359173Z del async_compile
2022-11-23T01:30:19.4359178Z 
2022-11-23T01:30:19.4359246Z def call(args):
2022-11-23T01:30:19.4359328Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.4359386Z     args.clear()
2022-11-23T01:30:19.4359601Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4359698Z     aten.bmm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:30:19.4359765Z     del arg1_1
2022-11-23T01:30:19.4359860Z     del arg2_1
2022-11-23T01:30:19.4359944Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:19.4360076Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:30:19.4360131Z     del arg0_1
2022-11-23T01:30:19.4360201Z     return (buf1, )
2022-11-23T01:30:19.4360206Z 
2022-11-23T01:30:19.4360210Z 
2022-11-23T01:30:19.4360284Z if __name__ == "__main__":
2022-11-23T01:30:19.4360397Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4360517Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4360726Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4360935Z     arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4361175Z     arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4361282Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.4361301Z 
2022-11-23T01:30:19.4361355Z ok (1.459s)
2022-11-23T01:30:19.4361668Z   test_batch_norm_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:22:35,225] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4361983Z [2022-11-23 01:22:35,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4362198Z [2022-11-23 01:22:35,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4362442Z [2022-11-23 01:22:35,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.4362708Z [2022-11-23 01:22:35,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.4363020Z [2022-11-23 01:22:35,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4363359Z [2022-11-23 01:22:35,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4363667Z [2022-11-23 01:22:35,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4363897Z [2022-11-23 01:22:35,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4364128Z [2022-11-23 01:22:35,239] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4364377Z [2022-11-23 01:22:35,240] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4364624Z [2022-11-23 01:22:35,251] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4364815Z [2022-11-23 01:22:35,251] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4364949Z  __compiled_fn_37 <eval_with_key>.236 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4365038Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4365134Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.4365223Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:30:19.4365320Z output, output, output, ((model_1,),), {}
2022-11-23T01:30:19.4365325Z 
2022-11-23T01:30:19.4365646Z [2022-11-23 01:22:35,252] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4365737Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4365825Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4365910Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4366006Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4366090Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4366165Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4366269Z              12 RETURN_VALUE
2022-11-23T01:30:19.4366275Z 
2022-11-23T01:30:19.4366335Z  
2022-11-23T01:30:19.4366656Z [2022-11-23 01:22:35,252] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4366763Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_37)
2022-11-23T01:30:19.4366853Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4366940Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4367015Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4367090Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4367177Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4367251Z              12 RETURN_VALUE
2022-11-23T01:30:19.4367283Z 
2022-11-23T01:30:19.4367343Z  
2022-11-23T01:30:19.4367525Z [2022-11-23 01:22:35,252] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4367592Z  - 
2022-11-23T01:30:19.4367712Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4367764Z             {
2022-11-23T01:30:19.4367903Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4368088Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4368206Z                 'obj_weakref': None
2022-11-23T01:30:19.4368434Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4368497Z             }
2022-11-23T01:30:19.4368560Z             
2022-11-23T01:30:19.4368616Z  - 
2022-11-23T01:30:19.4368738Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4368800Z             {
2022-11-23T01:30:19.4368940Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4369046Z                 'code': None,
2022-11-23T01:30:19.4369263Z                 'obj_weakref': <weakref at 0x7ff58fe59760; to 'Tensor' at 0x7ff58fe3f970>
2022-11-23T01:30:19.4369522Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4369574Z             }
2022-11-23T01:30:19.4369639Z             
2022-11-23T01:30:19.4369708Z  - 
2022-11-23T01:30:19.4369829Z             local 'model' NN_MODULE
2022-11-23T01:30:19.4369894Z             {
2022-11-23T01:30:19.4370028Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4370198Z                 'code': ['___check_obj_id(model, 140692862745616)'],
2022-11-23T01:30:19.4370407Z                 'obj_weakref': <weakref at 0x7ff58ff1c4f0; to 'Sequential' at 0x7ff59c1b3c10>
2022-11-23T01:30:19.4370646Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.4370710Z             }
2022-11-23T01:30:19.4370774Z             
2022-11-23T01:30:19.4370845Z  - 
2022-11-23T01:30:19.4370968Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4371033Z             {
2022-11-23T01:30:19.4371158Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4371377Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4371496Z                 'obj_weakref': None
2022-11-23T01:30:19.4371718Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4371784Z             }
2022-11-23T01:30:19.4371848Z             
2022-11-23T01:30:19.4371917Z  - 
2022-11-23T01:30:19.4372052Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.4372116Z             {
2022-11-23T01:30:19.4372235Z                 'guard_types': None,
2022-11-23T01:30:19.4372343Z                 'code': None,
2022-11-23T01:30:19.4372464Z                 'obj_weakref': None
2022-11-23T01:30:19.4372584Z                 'guarded_class': None
2022-11-23T01:30:19.4372651Z             }
2022-11-23T01:30:19.4372702Z             
2022-11-23T01:30:19.4372771Z  - 
2022-11-23T01:30:19.4372917Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.4373008Z             {
2022-11-23T01:30:19.4373129Z                 'guard_types': None,
2022-11-23T01:30:19.4373237Z                 'code': None,
2022-11-23T01:30:19.4373341Z                 'obj_weakref': None
2022-11-23T01:30:19.4373462Z                 'guarded_class': None
2022-11-23T01:30:19.4373526Z             }
2022-11-23T01:30:19.4373590Z             
2022-11-23T01:30:19.4373849Z [2022-11-23 01:22:35,332] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 36
2022-11-23T01:30:19.4374217Z [2022-11-23 01:22:36,773] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hc/chcmy54avhg37cfk7ytdhogeiaos7dmlk3h7dlmp5n6ljhelavlg.py
2022-11-23T01:30:19.4374477Z [2022-11-23 01:22:36,773] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 36
2022-11-23T01:30:19.4374746Z [2022-11-23 01:22:36,777] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4375067Z [2022-11-23 01:22:36,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4375270Z [2022-11-23 01:22:36,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4375514Z [2022-11-23 01:22:36,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.4375785Z [2022-11-23 01:22:36,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.4376096Z [2022-11-23 01:22:36,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4376562Z [2022-11-23 01:22:36,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4376875Z [2022-11-23 01:22:36,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4377120Z [2022-11-23 01:22:36,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4377351Z [2022-11-23 01:22:36,790] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4377604Z [2022-11-23 01:22:36,791] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4377840Z [2022-11-23 01:22:36,803] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4378032Z [2022-11-23 01:22:36,803] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4378166Z  __compiled_fn_38 <eval_with_key>.247 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4378260Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4378360Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.4378465Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:30:19.4378565Z output, output, output, ((model_1,),), {}
2022-11-23T01:30:19.4378570Z 
2022-11-23T01:30:19.4378896Z [2022-11-23 01:22:36,803] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4378988Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4379067Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4379153Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4379244Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4379329Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4379416Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4379490Z              12 RETURN_VALUE
2022-11-23T01:30:19.4379497Z 
2022-11-23T01:30:19.4379556Z  
2022-11-23T01:30:19.4379916Z [2022-11-23 01:22:36,803] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4380025Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_38)
2022-11-23T01:30:19.4380113Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4380201Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4380278Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4380364Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4380453Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4380515Z              12 RETURN_VALUE
2022-11-23T01:30:19.4380532Z 
2022-11-23T01:30:19.4380579Z  
2022-11-23T01:30:19.4380762Z [2022-11-23 01:22:36,804] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4380832Z  - 
2022-11-23T01:30:19.4380950Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4381052Z             {
2022-11-23T01:30:19.4381193Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4381368Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4381486Z                 'obj_weakref': None
2022-11-23T01:30:19.4381709Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4381774Z             }
2022-11-23T01:30:19.4381837Z             
2022-11-23T01:30:19.4381903Z  - 
2022-11-23T01:30:19.4382025Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4382075Z             {
2022-11-23T01:30:19.4382216Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4382319Z                 'code': None,
2022-11-23T01:30:19.4382531Z                 'obj_weakref': <weakref at 0x7ff58fe74b30; to 'Tensor' at 0x7ff58ff1e2a0>
2022-11-23T01:30:19.4382782Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4382847Z             }
2022-11-23T01:30:19.4382911Z             
2022-11-23T01:30:19.4382979Z  - 
2022-11-23T01:30:19.4383085Z             local 'model' NN_MODULE
2022-11-23T01:30:19.4383150Z             {
2022-11-23T01:30:19.4383284Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4383454Z                 'code': ['___check_obj_id(model, 140692862745616)'],
2022-11-23T01:30:19.4383676Z                 'obj_weakref': <weakref at 0x7ff58ff1c4f0; to 'Sequential' at 0x7ff59c1b3c10>
2022-11-23T01:30:19.4383912Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.4383975Z             }
2022-11-23T01:30:19.4384025Z             
2022-11-23T01:30:19.4384093Z  - 
2022-11-23T01:30:19.4384213Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4384274Z             {
2022-11-23T01:30:19.4384407Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4384624Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4384742Z                 'obj_weakref': None
2022-11-23T01:30:19.4384952Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4385014Z             }
2022-11-23T01:30:19.4385075Z             
2022-11-23T01:30:19.4385141Z  - 
2022-11-23T01:30:19.4385286Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.4385347Z             {
2022-11-23T01:30:19.4385464Z                 'guard_types': None,
2022-11-23T01:30:19.4385557Z                 'code': None,
2022-11-23T01:30:19.4385672Z                 'obj_weakref': None
2022-11-23T01:30:19.4385790Z                 'guarded_class': None
2022-11-23T01:30:19.4385851Z             }
2022-11-23T01:30:19.4385913Z             
2022-11-23T01:30:19.4385978Z  - 
2022-11-23T01:30:19.4386109Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.4386171Z             {
2022-11-23T01:30:19.4386291Z                 'guard_types': None,
2022-11-23T01:30:19.4386394Z                 'code': None,
2022-11-23T01:30:19.4386510Z                 'obj_weakref': None
2022-11-23T01:30:19.4386656Z                 'guarded_class': None
2022-11-23T01:30:19.4386717Z             }
2022-11-23T01:30:19.4386767Z             
2022-11-23T01:30:19.4387024Z [2022-11-23 01:22:36,884] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 37
2022-11-23T01:30:19.4387029Z 
2022-11-23T01:30:19.4387122Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4387189Z import torch
2022-11-23T01:30:19.4387257Z import random
2022-11-23T01:30:19.4387369Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4387488Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4387493Z 
2022-11-23T01:30:19.4387573Z aten = torch.ops.aten
2022-11-23T01:30:19.4387694Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4387787Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4387819Z 
2022-11-23T01:30:19.4387824Z 
2022-11-23T01:30:19.4387959Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4388164Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4388284Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4388387Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.4388488Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.4388588Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:30:19.4388675Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:30:19.4388772Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4388868Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:30:19.4388930Z {
2022-11-23T01:30:19.4389026Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4389086Z     {
2022-11-23T01:30:19.4389174Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.4389244Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.4389306Z         {
2022-11-23T01:30:19.4389390Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:19.4389453Z             {
2022-11-23T01:30:19.4389538Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:30:19.4389601Z                 {
2022-11-23T01:30:19.4389753Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (64*i1) + (640*i0));
2022-11-23T01:30:19.4389868Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i1]);
2022-11-23T01:30:19.4389993Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:30:19.4390117Z                     auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2022-11-23T01:30:19.4390240Z                     auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2022-11-23T01:30:19.4390376Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.4390584Z                     auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:30:19.4390676Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:19.4390766Z                     auto tmp6 = tmp5.sqrt();
2022-11-23T01:30:19.4390855Z                     auto tmp7 = tmp6.reciprocal();
2022-11-23T01:30:19.4390990Z                     auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.4391078Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:19.4391169Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:30:19.4391260Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:30:19.4391354Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:19.4391486Z                     auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2022-11-23T01:30:19.4391596Z                     tmp15.store(out_ptr0 + (8*i2) + (64*i1) + (640*i0));
2022-11-23T01:30:19.4391648Z                 }
2022-11-23T01:30:19.4391742Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.4391834Z                 for(long i2=64; i2<64; i2+=1)
2022-11-23T01:30:19.4391897Z                 {
2022-11-23T01:30:19.4392031Z                     auto tmp0 = in_ptr0[i2 + (64*i1) + (640*i0)];
2022-11-23T01:30:19.4392121Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:19.4392208Z                     auto tmp3 = in_ptr2[i1];
2022-11-23T01:30:19.4392284Z                     auto tmp11 = in_ptr3[i1];
2022-11-23T01:30:19.4392371Z                     auto tmp13 = in_ptr4[i1];
2022-11-23T01:30:19.4392505Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.4392664Z                     auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:30:19.4392751Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:19.4392846Z                     auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:30:19.4392929Z                     auto tmp7 = 1 / tmp6;
2022-11-23T01:30:19.4393019Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:30:19.4393137Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:19.4393227Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:30:19.4393322Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:30:19.4393412Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:19.4393507Z                     auto tmp15 = tmp14 * (tmp14>0);
2022-11-23T01:30:19.4393605Z                     out_ptr0[i2 + (64*i1) + (640*i0)] = tmp15;
2022-11-23T01:30:19.4393658Z                 }
2022-11-23T01:30:19.4393719Z             }
2022-11-23T01:30:19.4393781Z         }
2022-11-23T01:30:19.4393942Z         #pragma omp for 
2022-11-23T01:30:19.4394025Z         for(long i0=0; i0<1280; i0+=1)
2022-11-23T01:30:19.4394087Z         {
2022-11-23T01:30:19.4394149Z             {
2022-11-23T01:30:19.4394201Z                 {
2022-11-23T01:30:19.4394292Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:30:19.4394394Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:30:19.4394487Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:30:19.4394571Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.4394634Z                 }
2022-11-23T01:30:19.4394700Z             }
2022-11-23T01:30:19.4394750Z         }
2022-11-23T01:30:19.4394812Z     }
2022-11-23T01:30:19.4394873Z }
2022-11-23T01:30:19.4394954Z ''')
2022-11-23T01:30:19.4394959Z 
2022-11-23T01:30:19.4394963Z 
2022-11-23T01:30:19.4395053Z async_compile.wait(globals())
2022-11-23T01:30:19.4395125Z del async_compile
2022-11-23T01:30:19.4395129Z 
2022-11-23T01:30:19.4395199Z def call(args):
2022-11-23T01:30:19.4395324Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T01:30:19.4395396Z     args.clear()
2022-11-23T01:30:19.4395610Z     buf0 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4395819Z     buf1 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4396100Z     kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.4396174Z     del primals_1
2022-11-23T01:30:19.4396244Z     del primals_2
2022-11-23T01:30:19.4396361Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T01:30:19.4396366Z 
2022-11-23T01:30:19.4396371Z 
2022-11-23T01:30:19.4396434Z if __name__ == "__main__":
2022-11-23T01:30:19.4396547Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4396671Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4396872Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4397072Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4397268Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4397466Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4397651Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.4397943Z     primals_6 = rand_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4398115Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T01:30:19.4398121Z 
2022-11-23T01:30:19.4398491Z [2022-11-23 01:22:38,354] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xt/cxtjcvxl7vimc3baux72qbnyxsg2i5e5tieiuyc7mlvmp2v6f5ib.py
2022-11-23T01:30:19.4398753Z [2022-11-23 01:22:38,354] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 37
2022-11-23T01:30:19.4398759Z 
2022-11-23T01:30:19.4398852Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4398922Z import torch
2022-11-23T01:30:19.4398992Z import random
2022-11-23T01:30:19.4399108Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4399259Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4399264Z 
2022-11-23T01:30:19.4399328Z aten = torch.ops.aten
2022-11-23T01:30:19.4399463Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4399555Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4399559Z 
2022-11-23T01:30:19.4399564Z 
2022-11-23T01:30:19.4399698Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4399900Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4400017Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4400119Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.4400220Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.4400309Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:30:19.4400407Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:30:19.4400507Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4400604Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:30:19.4400666Z {
2022-11-23T01:30:19.4400762Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4400822Z     {
2022-11-23T01:30:19.4400899Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.4400980Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.4401044Z         {
2022-11-23T01:30:19.4401129Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:19.4401191Z             {
2022-11-23T01:30:19.4401277Z                 for(long i2=0; i2<32; i2+=1)
2022-11-23T01:30:19.4401340Z                 {
2022-11-23T01:30:19.4401481Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (256*i1) + (2560*i0));
2022-11-23T01:30:19.4401606Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i1]);
2022-11-23T01:30:19.4401731Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:30:19.4401857Z                     auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2022-11-23T01:30:19.4401984Z                     auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2022-11-23T01:30:19.4402120Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.4402324Z                     auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:30:19.4402416Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:19.4402493Z                     auto tmp6 = tmp5.sqrt();
2022-11-23T01:30:19.4402594Z                     auto tmp7 = tmp6.reciprocal();
2022-11-23T01:30:19.4402727Z                     auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.4402817Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:19.4402908Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:30:19.4402999Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:30:19.4403093Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:19.4403224Z                     auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2022-11-23T01:30:19.4403353Z                     tmp15.store(out_ptr0 + (8*i2) + (256*i1) + (2560*i0));
2022-11-23T01:30:19.4403418Z                 }
2022-11-23T01:30:19.4403513Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.4403601Z                 for(long i2=256; i2<256; i2+=1)
2022-11-23T01:30:19.4403664Z                 {
2022-11-23T01:30:19.4403773Z                     auto tmp0 = in_ptr0[i2 + (256*i1) + (2560*i0)];
2022-11-23T01:30:19.4403860Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:19.4403936Z                     auto tmp3 = in_ptr2[i1];
2022-11-23T01:30:19.4404025Z                     auto tmp11 = in_ptr3[i1];
2022-11-23T01:30:19.4404113Z                     auto tmp13 = in_ptr4[i1];
2022-11-23T01:30:19.4404247Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.4404406Z                     auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:30:19.4404524Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:19.4404623Z                     auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:30:19.4404698Z                     auto tmp7 = 1 / tmp6;
2022-11-23T01:30:19.4404802Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:30:19.4404892Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:19.4404983Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:30:19.4405075Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:30:19.4405168Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:19.4405266Z                     auto tmp15 = tmp14 * (tmp14>0);
2022-11-23T01:30:19.4405368Z                     out_ptr0[i2 + (256*i1) + (2560*i0)] = tmp15;
2022-11-23T01:30:19.4405421Z                 }
2022-11-23T01:30:19.4405486Z             }
2022-11-23T01:30:19.4405552Z         }
2022-11-23T01:30:19.4405630Z         #pragma omp for 
2022-11-23T01:30:19.4405718Z         for(long i0=0; i0<7680; i0+=1)
2022-11-23T01:30:19.4405783Z         {
2022-11-23T01:30:19.4405834Z             {
2022-11-23T01:30:19.4405899Z                 {
2022-11-23T01:30:19.4405995Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:30:19.4406100Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:30:19.4406192Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:30:19.4406276Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.4406343Z                 }
2022-11-23T01:30:19.4406393Z             }
2022-11-23T01:30:19.4406457Z         }
2022-11-23T01:30:19.4406520Z     }
2022-11-23T01:30:19.4406582Z }
2022-11-23T01:30:19.4406661Z ''')
2022-11-23T01:30:19.4406666Z 
2022-11-23T01:30:19.4406671Z 
2022-11-23T01:30:19.4406761Z async_compile.wait(globals())
2022-11-23T01:30:19.4406835Z del async_compile
2022-11-23T01:30:19.4406839Z 
2022-11-23T01:30:19.4406896Z def call(args):
2022-11-23T01:30:19.4407034Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T01:30:19.4492338Z     args.clear()
2022-11-23T01:30:19.4492773Z     buf0 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4492979Z     buf1 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4493253Z     kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.4493322Z     del primals_1
2022-11-23T01:30:19.4493385Z     del primals_2
2022-11-23T01:30:19.4493496Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T01:30:19.4493504Z 
2022-11-23T01:30:19.4493509Z 
2022-11-23T01:30:19.4493577Z if __name__ == "__main__":
2022-11-23T01:30:19.4493683Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4493799Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4494000Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4494390Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4494582Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4494769Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4494947Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.4495163Z     primals_6 = rand_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4495327Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T01:30:19.4495333Z 
2022-11-23T01:30:19.4495393Z ok (3.134s)
2022-11-23T01:30:19.4495702Z   test_bernoulli1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4496061Z [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4496269Z [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4496710Z [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4497014Z [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4497326Z [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4497667Z [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4497985Z [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4498356Z [2022-11-23 01:22:38,359] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d0190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578> 
2022-11-23T01:30:19.4498444Z  3579           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4498537Z                2 LOAD_METHOD              1 (empty_like)
2022-11-23T01:30:19.4498617Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4498696Z                6 CALL_METHOD              1
2022-11-23T01:30:19.4498780Z                8 STORE_FAST               1 (b)
2022-11-23T01:30:19.4498785Z 
2022-11-23T01:30:19.4498870Z 3580          10 LOAD_GLOBAL              2 (aten)
2022-11-23T01:30:19.4498964Z               12 LOAD_METHOD              3 (bernoulli_)
2022-11-23T01:30:19.4499046Z               14 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4499125Z               16 CALL_METHOD              1
2022-11-23T01:30:19.4499205Z               18 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4499283Z               20 BUILD_TUPLE              2
2022-11-23T01:30:19.4499351Z               22 RETURN_VALUE
2022-11-23T01:30:19.4499405Z  
2022-11-23T01:30:19.4499410Z 
2022-11-23T01:30:19.4499718Z [2022-11-23 01:22:38,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3579
2022-11-23T01:30:19.4499928Z [2022-11-23 01:22:38,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4500294Z [2022-11-23 01:22:38,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR empty_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4500616Z [2022-11-23 01:22:38,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method empty_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4501018Z [2022-11-23 01:22:38,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method empty_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4501251Z [2022-11-23 01:22:38,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:30:19.4501553Z [2022-11-23 01:22:38,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3580
2022-11-23T01:30:19.4501760Z [2022-11-23 01:22:38,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4502061Z [2022-11-23 01:22:38,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4502312Z [2022-11-23 01:22:38,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.bernoulli_)]
2022-11-23T01:30:19.4502634Z [2022-11-23 01:22:38,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli_), TensorVariable()]
2022-11-23T01:30:19.4502863Z [2022-11-23 01:22:38,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:19.4503122Z [2022-11-23 01:22:38,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4503360Z [2022-11-23 01:22:38,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4503726Z [2022-11-23 01:22:38,368] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d0190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3578>
2022-11-23T01:30:19.4503960Z [2022-11-23 01:22:38,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4504183Z [2022-11-23 01:22:38,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4504431Z [2022-11-23 01:22:38,369] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4504671Z [2022-11-23 01:22:38,372] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4504848Z [2022-11-23 01:22:38,372] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4504976Z  __compiled_fn_39 <eval_with_key>.258 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4505057Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4505293Z call_function, empty_like, <built-in method empty_like of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.4505413Z call_function, bernoulli_, aten.bernoulli_, (empty_like,), {}
2022-11-23T01:30:19.4505518Z output, output, output, ((bernoulli_, empty_like),), {}
2022-11-23T01:30:19.4505528Z 
2022-11-23T01:30:19.4505842Z [2022-11-23 01:22:38,373] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4505931Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4506011Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4506090Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4506175Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4506250Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4506329Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4506392Z              12 RETURN_VALUE
2022-11-23T01:30:19.4506401Z 
2022-11-23T01:30:19.4506450Z  
2022-11-23T01:30:19.4506763Z [2022-11-23 01:22:38,373] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4506862Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_39)
2022-11-23T01:30:19.4506946Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4507025Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4507093Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4507202Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4507293Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4507386Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4507468Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4507537Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.4507628Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4507707Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4507774Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4507849Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.4507915Z              26 RETURN_VALUE
2022-11-23T01:30:19.4507920Z 
2022-11-23T01:30:19.4507972Z  
2022-11-23T01:30:19.4508175Z [2022-11-23 01:22:38,374] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4508236Z  - 
2022-11-23T01:30:19.4508348Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4508405Z             {
2022-11-23T01:30:19.4508535Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4508712Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4508823Z                 'obj_weakref': None
2022-11-23T01:30:19.4509040Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4509097Z             }
2022-11-23T01:30:19.4509152Z             
2022-11-23T01:30:19.4509212Z  - 
2022-11-23T01:30:19.4509323Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4509377Z             {
2022-11-23T01:30:19.4509511Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4509609Z                 'code': None,
2022-11-23T01:30:19.4509813Z                 'obj_weakref': <weakref at 0x7ff58fe3c040; to 'Tensor' at 0x7ff58fe06c50>
2022-11-23T01:30:19.4510061Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4510120Z             }
2022-11-23T01:30:19.4510171Z             
2022-11-23T01:30:19.4510233Z  - 
2022-11-23T01:30:19.4510355Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4510411Z             {
2022-11-23T01:30:19.4510536Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4510698Z                 'code': ['___check_obj_id(model, 140692659481776)'],
2022-11-23T01:30:19.4510808Z                 'obj_weakref': None
2022-11-23T01:30:19.4511025Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4511080Z             }
2022-11-23T01:30:19.4511135Z             
2022-11-23T01:30:19.4511196Z  - 
2022-11-23T01:30:19.4511308Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4511362Z             {
2022-11-23T01:30:19.4511492Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4511696Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4511807Z                 'obj_weakref': None
2022-11-23T01:30:19.4512018Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4512075Z             }
2022-11-23T01:30:19.4512129Z             
2022-11-23T01:30:19.4512191Z  - 
2022-11-23T01:30:19.4512314Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4512365Z             {
2022-11-23T01:30:19.4512475Z                 'guard_types': None,
2022-11-23T01:30:19.4512575Z                 'code': None,
2022-11-23T01:30:19.4512685Z                 'obj_weakref': None
2022-11-23T01:30:19.4512798Z                 'guarded_class': None
2022-11-23T01:30:19.4512854Z             }
2022-11-23T01:30:19.4512909Z             
2022-11-23T01:30:19.4512963Z  - 
2022-11-23T01:30:19.4513092Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4513148Z             {
2022-11-23T01:30:19.4513256Z                 'guard_types': None,
2022-11-23T01:30:19.4513355Z                 'code': None,
2022-11-23T01:30:19.4513497Z                 'obj_weakref': None
2022-11-23T01:30:19.4513611Z                 'guarded_class': None
2022-11-23T01:30:19.4513661Z             }
2022-11-23T01:30:19.4513722Z             
2022-11-23T01:30:19.4514067Z [2022-11-23 01:22:38,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 38
2022-11-23T01:30:19.4514443Z [2022-11-23 01:22:39,801] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpj3ishyadoclmedgesbe5zag4u3err2ytczox2zqrg3bxxodxm.py
2022-11-23T01:30:19.4514707Z [2022-11-23 01:22:39,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 38
2022-11-23T01:30:19.4514713Z 
2022-11-23T01:30:19.4514807Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4514876Z import torch
2022-11-23T01:30:19.4514969Z import random
2022-11-23T01:30:19.4515086Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4515210Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4515215Z 
2022-11-23T01:30:19.4515294Z aten = torch.ops.aten
2022-11-23T01:30:19.4515431Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4515528Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4515533Z 
2022-11-23T01:30:19.4515537Z 
2022-11-23T01:30:19.4515673Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4515881Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4515982Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4516045Z {
2022-11-23T01:30:19.4516144Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4516205Z     {
2022-11-23T01:30:19.4516283Z         #pragma omp for 
2022-11-23T01:30:19.4516367Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.4516433Z         {
2022-11-23T01:30:19.4516566Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:30:19.4516660Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.4516725Z         }
2022-11-23T01:30:19.4516820Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4516903Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:30:19.4516967Z         {
2022-11-23T01:30:19.4517066Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:30:19.4517134Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.4517197Z         }
2022-11-23T01:30:19.4517260Z     }
2022-11-23T01:30:19.4517321Z }
2022-11-23T01:30:19.4517400Z ''')
2022-11-23T01:30:19.4517404Z 
2022-11-23T01:30:19.4517409Z 
2022-11-23T01:30:19.4517498Z async_compile.wait(globals())
2022-11-23T01:30:19.4517570Z del async_compile
2022-11-23T01:30:19.4517575Z 
2022-11-23T01:30:19.4517633Z def call(args):
2022-11-23T01:30:19.4517704Z     arg0_1, = args
2022-11-23T01:30:19.4517777Z     args.clear()
2022-11-23T01:30:19.4517973Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4518076Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4518162Z     aten.bernoulli_(buf0, )
2022-11-23T01:30:19.4518239Z     return (buf0, buf0, )
2022-11-23T01:30:19.4518244Z 
2022-11-23T01:30:19.4518249Z 
2022-11-23T01:30:19.4518327Z if __name__ == "__main__":
2022-11-23T01:30:19.4518428Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4518550Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4518747Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4518853Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4518858Z 
2022-11-23T01:30:19.4518924Z ok (1.447s)
2022-11-23T01:30:19.4519236Z   test_bernoulli2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:39,805] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4519554Z [2022-11-23 01:22:39,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4519799Z [2022-11-23 01:22:39,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4520043Z [2022-11-23 01:22:39,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4520320Z [2022-11-23 01:22:39,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4520639Z [2022-11-23 01:22:39,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4520985Z [2022-11-23 01:22:39,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4521308Z [2022-11-23 01:22:39,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4521718Z [2022-11-23 01:22:39,806] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d02f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590> 
2022-11-23T01:30:19.4521815Z  3591           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4521915Z                2 LOAD_METHOD              1 (bernoulli)
2022-11-23T01:30:19.4522008Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4522098Z                6 CALL_METHOD              1
2022-11-23T01:30:19.4522163Z                8 RETURN_VALUE
2022-11-23T01:30:19.4522223Z  
2022-11-23T01:30:19.4522228Z 
2022-11-23T01:30:19.4522543Z [2022-11-23 01:22:39,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3591
2022-11-23T01:30:19.4522759Z [2022-11-23 01:22:39,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4523074Z [2022-11-23 01:22:39,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4523334Z [2022-11-23 01:22:39,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.bernoulli)]
2022-11-23T01:30:19.4523627Z [2022-11-23 01:22:39,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli), TensorVariable()]
2022-11-23T01:30:19.4523874Z [2022-11-23 01:22:39,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4524258Z [2022-11-23 01:22:39,813] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d02f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3590>
2022-11-23T01:30:19.4524492Z [2022-11-23 01:22:39,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4524728Z [2022-11-23 01:22:39,813] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4524982Z [2022-11-23 01:22:39,814] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4525230Z [2022-11-23 01:22:39,817] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4525417Z [2022-11-23 01:22:39,817] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4525552Z  __compiled_fn_40 <eval_with_key>.264 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4525643Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4525763Z call_function, bernoulli, aten.bernoulli, (ex_0_,), {}
2022-11-23T01:30:19.4525854Z output, output, output, ((bernoulli,),), {}
2022-11-23T01:30:19.4525872Z 
2022-11-23T01:30:19.4526183Z [2022-11-23 01:22:39,817] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4526279Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4526414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4526502Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4526596Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4526683Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4526771Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4526836Z              12 RETURN_VALUE
2022-11-23T01:30:19.4526841Z 
2022-11-23T01:30:19.4526903Z  
2022-11-23T01:30:19.4527226Z [2022-11-23 01:22:39,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4527335Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_40)
2022-11-23T01:30:19.4527425Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4527544Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4527622Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4527711Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4527792Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4527867Z              12 RETURN_VALUE
2022-11-23T01:30:19.4527872Z 
2022-11-23T01:30:19.4527934Z  
2022-11-23T01:30:19.4528117Z [2022-11-23 01:22:39,818] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4528187Z  - 
2022-11-23T01:30:19.4528306Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4528370Z             {
2022-11-23T01:30:19.4528500Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4528687Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4528807Z                 'obj_weakref': None
2022-11-23T01:30:19.4529029Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4529097Z             }
2022-11-23T01:30:19.4529160Z             
2022-11-23T01:30:19.4529229Z  - 
2022-11-23T01:30:19.4529341Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4529404Z             {
2022-11-23T01:30:19.4529547Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4529654Z                 'code': None,
2022-11-23T01:30:19.4529867Z                 'obj_weakref': <weakref at 0x7ff58fd50fe0; to 'Tensor' at 0x7ff58fec9da0>
2022-11-23T01:30:19.4530121Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4530185Z             }
2022-11-23T01:30:19.4530235Z             
2022-11-23T01:30:19.4530303Z  - 
2022-11-23T01:30:19.4530433Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4530496Z             {
2022-11-23T01:30:19.4530629Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4530799Z                 'code': ['___check_obj_id(model, 140692659474864)'],
2022-11-23T01:30:19.4530920Z                 'obj_weakref': None
2022-11-23T01:30:19.4531138Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4531204Z             }
2022-11-23T01:30:19.4531268Z             
2022-11-23T01:30:19.4531336Z  - 
2022-11-23T01:30:19.4531456Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4531522Z             {
2022-11-23T01:30:19.4531657Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4531862Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4531979Z                 'obj_weakref': None
2022-11-23T01:30:19.4532197Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4532261Z             }
2022-11-23T01:30:19.4532325Z             
2022-11-23T01:30:19.4532394Z  - 
2022-11-23T01:30:19.4532525Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4532576Z             {
2022-11-23T01:30:19.4532696Z                 'guard_types': None,
2022-11-23T01:30:19.4532803Z                 'code': None,
2022-11-23T01:30:19.4532919Z                 'obj_weakref': None
2022-11-23T01:30:19.4533079Z                 'guarded_class': None
2022-11-23T01:30:19.4533145Z             }
2022-11-23T01:30:19.4533209Z             
2022-11-23T01:30:19.4533453Z [2022-11-23 01:22:39,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 39
2022-11-23T01:30:19.4533707Z [2022-11-23 01:22:39,823] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:30:19.4534074Z [2022-11-23 01:22:41,234] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/ceaonecazohd4lnarhk456fnzdosr4lmismkiq7ydpnqobyuvlbq.py
2022-11-23T01:30:19.4534334Z [2022-11-23 01:22:41,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 39
2022-11-23T01:30:19.4534340Z 
2022-11-23T01:30:19.4534432Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4534538Z import torch
2022-11-23T01:30:19.4534609Z import random
2022-11-23T01:30:19.4534726Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4534837Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4534843Z 
2022-11-23T01:30:19.4534921Z aten = torch.ops.aten
2022-11-23T01:30:19.4535056Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4535150Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4535311Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:30:19.4535318Z 
2022-11-23T01:30:19.4535322Z 
2022-11-23T01:30:19.4535456Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4535662Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4535777Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:30:19.4535869Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.4535968Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:30:19.4536030Z {
2022-11-23T01:30:19.4536130Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4536194Z     {
2022-11-23T01:30:19.4536271Z         #pragma omp for 
2022-11-23T01:30:19.4536354Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.4536536Z         {
2022-11-23T01:30:19.4536601Z             {
2022-11-23T01:30:19.4536666Z                 {
2022-11-23T01:30:19.4536757Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:19.4536850Z                     auto tmp5 = in_ptr1[i0];
2022-11-23T01:30:19.4536954Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:30:19.4537046Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:30:19.4537135Z                     auto tmp3 = static_cast<int>(i0);
2022-11-23T01:30:19.4537275Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:30:19.4537367Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:30:19.4537456Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:30:19.4537523Z                 }
2022-11-23T01:30:19.4537588Z             }
2022-11-23T01:30:19.4537654Z         }
2022-11-23T01:30:19.4537703Z     }
2022-11-23T01:30:19.4537763Z }
2022-11-23T01:30:19.4537843Z ''')
2022-11-23T01:30:19.4537848Z 
2022-11-23T01:30:19.4537852Z 
2022-11-23T01:30:19.4537941Z async_compile.wait(globals())
2022-11-23T01:30:19.4538019Z del async_compile
2022-11-23T01:30:19.4538023Z 
2022-11-23T01:30:19.4538094Z def call(args):
2022-11-23T01:30:19.4538165Z     arg0_1, = args
2022-11-23T01:30:19.4538224Z     args.clear()
2022-11-23T01:30:19.4538357Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:30:19.4538544Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4538720Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4538794Z     del arg0_1
2022-11-23T01:30:19.4538865Z     return (buf0, )
2022-11-23T01:30:19.4538870Z 
2022-11-23T01:30:19.4538874Z 
2022-11-23T01:30:19.4538950Z if __name__ == "__main__":
2022-11-23T01:30:19.4539121Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4539232Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4539429Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.4539623Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4539734Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4539739Z 
2022-11-23T01:30:19.4539807Z ok (1.435s)
2022-11-23T01:30:19.4540114Z   test_bitwise2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4540433Z [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4540694Z [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4540936Z [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4541215Z [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4541542Z [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4541889Z [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4542210Z [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4542589Z [2022-11-23 01:22:41,243] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6e40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736> 
2022-11-23T01:30:19.4542686Z  2738           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4542786Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:30:19.4542878Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4542968Z                6 CALL_METHOD              1
2022-11-23T01:30:19.4542974Z 
2022-11-23T01:30:19.4543055Z 2739           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4543155Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:30:19.4543245Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4543332Z               14 LOAD_FAST                1 (y)
2022-11-23T01:30:19.4543420Z               16 CALL_METHOD              2
2022-11-23T01:30:19.4543425Z 
2022-11-23T01:30:19.4543521Z 2740          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4543620Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:30:19.4543712Z               22 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4543788Z               24 LOAD_FAST                1 (y)
2022-11-23T01:30:19.4543875Z               26 CALL_METHOD              2
2022-11-23T01:30:19.4543880Z 
2022-11-23T01:30:19.4543972Z 2741          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4544070Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:30:19.4544158Z               32 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4544244Z               34 LOAD_FAST                1 (y)
2022-11-23T01:30:19.4544331Z               36 CALL_METHOD              2
2022-11-23T01:30:19.4544336Z 
2022-11-23T01:30:19.4544409Z 2737          38 BUILD_TUPLE              4
2022-11-23T01:30:19.4544485Z               40 RETURN_VALUE
2022-11-23T01:30:19.4544547Z  
2022-11-23T01:30:19.4544552Z 
2022-11-23T01:30:19.4544870Z [2022-11-23 01:22:41,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2738
2022-11-23T01:30:19.4545121Z [2022-11-23 01:22:41,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4545504Z [2022-11-23 01:22:41,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4545837Z [2022-11-23 01:22:41,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4546198Z [2022-11-23 01:22:41,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4546511Z [2022-11-23 01:22:41,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2739
2022-11-23T01:30:19.4546789Z [2022-11-23 01:22:41,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.4547181Z [2022-11-23 01:22:41,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4547538Z [2022-11-23 01:22:41,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4547923Z [2022-11-23 01:22:41,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4548347Z [2022-11-23 01:22:41,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4548666Z [2022-11-23 01:22:41,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2740
2022-11-23T01:30:19.4548939Z [2022-11-23 01:22:41,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4549369Z [2022-11-23 01:22:41,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4549751Z [2022-11-23 01:22:41,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4550160Z [2022-11-23 01:22:41,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4550614Z [2022-11-23 01:22:41,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4550926Z [2022-11-23 01:22:41,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2741
2022-11-23T01:30:19.4551225Z [2022-11-23 01:22:41,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4551687Z [2022-11-23 01:22:41,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4552166Z [2022-11-23 01:22:41,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4552607Z [2022-11-23 01:22:41,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4553082Z [2022-11-23 01:22:41,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4553382Z [2022-11-23 01:22:41,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2737
2022-11-23T01:30:19.4553739Z [2022-11-23 01:22:41,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4554083Z [2022-11-23 01:22:41,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4554468Z [2022-11-23 01:22:41,255] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6e40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2736>
2022-11-23T01:30:19.4554715Z [2022-11-23 01:22:41,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4554950Z [2022-11-23 01:22:41,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4555204Z [2022-11-23 01:22:41,258] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4555453Z [2022-11-23 01:22:41,266] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4555644Z [2022-11-23 01:22:41,266] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4555782Z  __compiled_fn_41 <eval_with_key>.270 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4555860Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4555947Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4556196Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.4556451Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4556703Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4556955Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4557104Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:30:19.4557113Z 
2022-11-23T01:30:19.4557441Z [2022-11-23 01:22:41,267] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4557536Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4557614Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4557701Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4557794Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4557881Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4557969Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4558049Z              12 RETURN_VALUE
2022-11-23T01:30:19.4558054Z 
2022-11-23T01:30:19.4558114Z  
2022-11-23T01:30:19.4558422Z [2022-11-23 01:22:41,268] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4558531Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_41)
2022-11-23T01:30:19.4558620Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4558752Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4558833Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4558922Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4559009Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4559072Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4559162Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4559264Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4559366Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4559454Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4559530Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4559631Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4559718Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4559810Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.4559910Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4559999Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.4560075Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.4560175Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4560262Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.4560337Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.4560412Z              42 BUILD_TUPLE              4
2022-11-23T01:30:19.4560486Z              44 RETURN_VALUE
2022-11-23T01:30:19.4560491Z 
2022-11-23T01:30:19.4560551Z  
2022-11-23T01:30:19.4560734Z [2022-11-23 01:22:41,269] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4560804Z  - 
2022-11-23T01:30:19.4560924Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4560989Z             {
2022-11-23T01:30:19.4561118Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4561307Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4561426Z                 'obj_weakref': None
2022-11-23T01:30:19.4561654Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4561719Z             }
2022-11-23T01:30:19.4561783Z             
2022-11-23T01:30:19.4561852Z  - 
2022-11-23T01:30:19.4561965Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4562028Z             {
2022-11-23T01:30:19.4562172Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4562278Z                 'code': None,
2022-11-23T01:30:19.4562496Z                 'obj_weakref': <weakref at 0x7ff58fd2b100; to 'Tensor' at 0x7ff58fe77790>
2022-11-23T01:30:19.4562750Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4562815Z             }
2022-11-23T01:30:19.4562868Z             
2022-11-23T01:30:19.4562937Z  - 
2022-11-23T01:30:19.4563059Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4563122Z             {
2022-11-23T01:30:19.4563265Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4563372Z                 'code': None,
2022-11-23T01:30:19.4563585Z                 'obj_weakref': <weakref at 0x7ff58fd2b330; to 'Tensor' at 0x7ff58fd50630>
2022-11-23T01:30:19.4563825Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4563889Z             }
2022-11-23T01:30:19.4563953Z             
2022-11-23T01:30:19.4564022Z  - 
2022-11-23T01:30:19.4564153Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4564216Z             {
2022-11-23T01:30:19.4564354Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4564511Z                 'code': ['___check_obj_id(model, 140692659480192)'],
2022-11-23T01:30:19.4564630Z                 'obj_weakref': None
2022-11-23T01:30:19.4564861Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4564926Z             }
2022-11-23T01:30:19.4565017Z             
2022-11-23T01:30:19.4565087Z  - 
2022-11-23T01:30:19.4565211Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4565261Z             {
2022-11-23T01:30:19.4565397Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4565614Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4565731Z                 'obj_weakref': None
2022-11-23T01:30:19.4565950Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4566014Z             }
2022-11-23T01:30:19.4566080Z             
2022-11-23T01:30:19.4566137Z  - 
2022-11-23T01:30:19.4566270Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4566334Z             {
2022-11-23T01:30:19.4566481Z                 'guard_types': None,
2022-11-23T01:30:19.4566587Z                 'code': None,
2022-11-23T01:30:19.4566704Z                 'obj_weakref': None
2022-11-23T01:30:19.4566827Z                 'guarded_class': None
2022-11-23T01:30:19.4566878Z             }
2022-11-23T01:30:19.4566941Z             
2022-11-23T01:30:19.4567201Z [2022-11-23 01:22:41,283] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 40
2022-11-23T01:30:19.4567576Z [2022-11-23 01:22:43,572] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rl/crlrsypo4wbokq4ahu5fah7wn3tvkwpg57snueeoqhyjfwgqse6s.py
2022-11-23T01:30:19.4567838Z [2022-11-23 01:22:43,573] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 40
2022-11-23T01:30:19.4567844Z 
2022-11-23T01:30:19.4567939Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4568008Z import torch
2022-11-23T01:30:19.4568078Z import random
2022-11-23T01:30:19.4568179Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4568301Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4568306Z 
2022-11-23T01:30:19.4568384Z aten = torch.ops.aten
2022-11-23T01:30:19.4568518Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4568610Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4568615Z 
2022-11-23T01:30:19.4568620Z 
2022-11-23T01:30:19.4568752Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4568956Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4569073Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:30:19.4569166Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:30:19.4569263Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:30:19.4569357Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:30:19.4569450Z                        bool* __restrict__ out_ptr2,
2022-11-23T01:30:19.4569544Z                        bool* __restrict__ out_ptr3)
2022-11-23T01:30:19.4569605Z {
2022-11-23T01:30:19.4569704Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4569754Z     {
2022-11-23T01:30:19.4569832Z         #pragma omp for 
2022-11-23T01:30:19.4569915Z         for(long i0=0; i0<40; i0+=1)
2022-11-23T01:30:19.4569979Z         {
2022-11-23T01:30:19.4570042Z             {
2022-11-23T01:30:19.4570107Z                 {
2022-11-23T01:30:19.4570186Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4570277Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:19.4570365Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:30:19.4570455Z                     auto tmp3 = tmp0 | tmp2;
2022-11-23T01:30:19.4570543Z                     auto tmp4 = tmp0 ^ tmp2;
2022-11-23T01:30:19.4570629Z                     auto tmp5 = tmp0 & tmp2;
2022-11-23T01:30:19.4570712Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.4570784Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:30:19.4570868Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:30:19.4570951Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:30:19.4571015Z                 }
2022-11-23T01:30:19.4571123Z             }
2022-11-23T01:30:19.4571187Z         }
2022-11-23T01:30:19.4571250Z     }
2022-11-23T01:30:19.4571297Z }
2022-11-23T01:30:19.4571376Z ''')
2022-11-23T01:30:19.4571380Z 
2022-11-23T01:30:19.4571385Z 
2022-11-23T01:30:19.4571475Z async_compile.wait(globals())
2022-11-23T01:30:19.4571547Z del async_compile
2022-11-23T01:30:19.4571552Z 
2022-11-23T01:30:19.4571622Z def call(args):
2022-11-23T01:30:19.4571698Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4571769Z     args.clear()
2022-11-23T01:30:19.4571951Z     buf0 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4572145Z     buf1 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4572331Z     buf2 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4572546Z     buf3 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4572785Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:19.4572857Z     del arg0_1
2022-11-23T01:30:19.4572926Z     del arg1_1
2022-11-23T01:30:19.4573014Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:30:19.4573019Z 
2022-11-23T01:30:19.4573023Z 
2022-11-23T01:30:19.4573102Z if __name__ == "__main__":
2022-11-23T01:30:19.4573203Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4573326Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4573519Z     arg0_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4573708Z     arg1_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4573823Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4573830Z 
2022-11-23T01:30:19.4573897Z ok (2.336s)
2022-11-23T01:30:19.4574204Z   test_bitwise_cpu (__main__.CpuTests) ... [2022-11-23 01:22:43,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4574521Z [2022-11-23 01:22:43,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4574728Z [2022-11-23 01:22:43,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4574981Z [2022-11-23 01:22:43,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4575257Z [2022-11-23 01:22:43,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4575577Z [2022-11-23 01:22:43,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4575924Z [2022-11-23 01:22:43,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4576248Z [2022-11-23 01:22:43,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4576849Z [2022-11-23 01:22:43,579] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6ce0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718> 
2022-11-23T01:30:19.4576948Z  2720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4577051Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:30:19.4577142Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4577219Z                6 CALL_METHOD              1
2022-11-23T01:30:19.4577224Z 
2022-11-23T01:30:19.4577319Z 2721           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4577423Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:30:19.4577514Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4577652Z               14 LOAD_FAST                1 (y)
2022-11-23T01:30:19.4577744Z               16 CALL_METHOD              2
2022-11-23T01:30:19.4577750Z 
2022-11-23T01:30:19.4577845Z 2722          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4577945Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:30:19.4578022Z               22 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4578109Z               24 LOAD_FAST                1 (y)
2022-11-23T01:30:19.4578197Z               26 CALL_METHOD              2
2022-11-23T01:30:19.4578201Z 
2022-11-23T01:30:19.4578294Z 2723          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4578393Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:30:19.4578483Z               32 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4578637Z               34 LOAD_FAST                1 (y)
2022-11-23T01:30:19.4578711Z               36 CALL_METHOD              2
2022-11-23T01:30:19.4578715Z 
2022-11-23T01:30:19.4578806Z 2719          38 BUILD_TUPLE              4
2022-11-23T01:30:19.4578883Z               40 RETURN_VALUE
2022-11-23T01:30:19.4578946Z  
2022-11-23T01:30:19.4578950Z 
2022-11-23T01:30:19.4579275Z [2022-11-23 01:22:43,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2720
2022-11-23T01:30:19.4579494Z [2022-11-23 01:22:43,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4579876Z [2022-11-23 01:22:43,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4580207Z [2022-11-23 01:22:43,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4580576Z [2022-11-23 01:22:43,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4580890Z [2022-11-23 01:22:43,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2721
2022-11-23T01:30:19.4581125Z [2022-11-23 01:22:43,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.4581530Z [2022-11-23 01:22:43,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4581888Z [2022-11-23 01:22:43,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4582274Z [2022-11-23 01:22:43,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4582693Z [2022-11-23 01:22:43,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4583005Z [2022-11-23 01:22:43,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2722
2022-11-23T01:30:19.4583278Z [2022-11-23 01:22:43,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4583708Z [2022-11-23 01:22:43,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4584122Z [2022-11-23 01:22:43,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4584539Z [2022-11-23 01:22:43,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4584986Z [2022-11-23 01:22:43,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4585296Z [2022-11-23 01:22:43,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2723
2022-11-23T01:30:19.4585626Z [2022-11-23 01:22:43,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4586087Z [2022-11-23 01:22:43,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4586489Z [2022-11-23 01:22:43,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4586930Z [2022-11-23 01:22:43,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4587410Z [2022-11-23 01:22:43,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4587726Z [2022-11-23 01:22:43,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2719
2022-11-23T01:30:19.4588048Z [2022-11-23 01:22:43,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4588293Z [2022-11-23 01:22:43,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4588675Z [2022-11-23 01:22:43,584] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6ce0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2718>
2022-11-23T01:30:19.4588918Z [2022-11-23 01:22:43,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4589154Z [2022-11-23 01:22:43,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4589408Z [2022-11-23 01:22:43,586] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4589656Z [2022-11-23 01:22:43,589] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4589844Z [2022-11-23 01:22:43,590] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4589965Z  __compiled_fn_42 <eval_with_key>.276 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4590054Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4590141Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4590389Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.4590638Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4590894Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4591177Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4591326Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:30:19.4591333Z 
2022-11-23T01:30:19.4591643Z [2022-11-23 01:22:43,590] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4591738Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4591828Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4591916Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4592008Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4592092Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4592215Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4592291Z              12 RETURN_VALUE
2022-11-23T01:30:19.4592297Z 
2022-11-23T01:30:19.4592347Z  
2022-11-23T01:30:19.4592668Z [2022-11-23 01:22:43,590] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4592776Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_42)
2022-11-23T01:30:19.4592865Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4592954Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4593031Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4593118Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4593192Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4593268Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4593355Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4593458Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4593561Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4593651Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4593727Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4593904Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4593981Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4594056Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.4594155Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4594244Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.4594320Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.4594419Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4594507Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.4594569Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.4594657Z              42 BUILD_TUPLE              4
2022-11-23T01:30:19.4594734Z              44 RETURN_VALUE
2022-11-23T01:30:19.4594740Z 
2022-11-23T01:30:19.4594800Z  
2022-11-23T01:30:19.4594992Z [2022-11-23 01:22:43,591] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4595062Z  - 
2022-11-23T01:30:19.4595183Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4595236Z             {
2022-11-23T01:30:19.4595377Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4595565Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4595685Z                 'obj_weakref': None
2022-11-23T01:30:19.4595909Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4595974Z             }
2022-11-23T01:30:19.4596038Z             
2022-11-23T01:30:19.4596094Z  - 
2022-11-23T01:30:19.4596217Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4596281Z             {
2022-11-23T01:30:19.4596423Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4596533Z                 'code': None,
2022-11-23T01:30:19.4596746Z                 'obj_weakref': <weakref at 0x7ff58fd28c70; to 'Tensor' at 0x7ff58ff14bd0>
2022-11-23T01:30:19.4597037Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4597090Z             }
2022-11-23T01:30:19.4597156Z             
2022-11-23T01:30:19.4597227Z  - 
2022-11-23T01:30:19.4597348Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4597411Z             {
2022-11-23T01:30:19.4597552Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4597659Z                 'code': None,
2022-11-23T01:30:19.4597857Z                 'obj_weakref': <weakref at 0x7ff58fec8720; to 'Tensor' at 0x7ff58ff15620>
2022-11-23T01:30:19.4598111Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4598176Z             }
2022-11-23T01:30:19.4598267Z             
2022-11-23T01:30:19.4598335Z  - 
2022-11-23T01:30:19.4598465Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4598530Z             {
2022-11-23T01:30:19.4598654Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4598824Z                 'code': ['___check_obj_id(model, 140693070740448)'],
2022-11-23T01:30:19.4598946Z                 'obj_weakref': None
2022-11-23T01:30:19.4599178Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4599241Z             }
2022-11-23T01:30:19.4599305Z             
2022-11-23T01:30:19.4599374Z  - 
2022-11-23T01:30:19.4599482Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4599546Z             {
2022-11-23T01:30:19.4599681Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4599897Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4600014Z                 'obj_weakref': None
2022-11-23T01:30:19.4600237Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4600300Z             }
2022-11-23T01:30:19.4600352Z             
2022-11-23T01:30:19.4600420Z  - 
2022-11-23T01:30:19.4600552Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4600617Z             {
2022-11-23T01:30:19.4600735Z                 'guard_types': None,
2022-11-23T01:30:19.4600840Z                 'code': None,
2022-11-23T01:30:19.4600957Z                 'obj_weakref': None
2022-11-23T01:30:19.4601065Z                 'guarded_class': None
2022-11-23T01:30:19.4601128Z             }
2022-11-23T01:30:19.4601191Z             
2022-11-23T01:30:19.4601450Z [2022-11-23 01:22:43,598] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 41
2022-11-23T01:30:19.4601817Z [2022-11-23 01:22:44,987] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6b/c6bvrsvsggn5jl7ojg4obl7z2xlohacvozq4yk3ic5gvverobrrq.py
2022-11-23T01:30:19.4602082Z [2022-11-23 01:22:44,987] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 41
2022-11-23T01:30:19.4602088Z 
2022-11-23T01:30:19.4602183Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4602254Z import torch
2022-11-23T01:30:19.4602311Z import random
2022-11-23T01:30:19.4602426Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4602546Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4602551Z 
2022-11-23T01:30:19.4602628Z aten = torch.ops.aten
2022-11-23T01:30:19.4602760Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4602852Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4602858Z 
2022-11-23T01:30:19.4602862Z 
2022-11-23T01:30:19.4602995Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4603199Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4603304Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:19.4603408Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:19.4603533Z                        int* __restrict__ out_ptr0,
2022-11-23T01:30:19.4603629Z                        int* __restrict__ out_ptr1,
2022-11-23T01:30:19.4603718Z                        int* __restrict__ out_ptr2,
2022-11-23T01:30:19.4603807Z                        int* __restrict__ out_ptr3)
2022-11-23T01:30:19.4603867Z {
2022-11-23T01:30:19.4603955Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4604017Z     {
2022-11-23T01:30:19.4604094Z         #pragma omp for 
2022-11-23T01:30:19.4604177Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.4604241Z         {
2022-11-23T01:30:19.4604305Z             {
2022-11-23T01:30:19.4604356Z                 {
2022-11-23T01:30:19.4604448Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4604537Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:19.4604623Z                     auto tmp1 = ~tmp0;
2022-11-23T01:30:19.4604743Z                     auto tmp3 = tmp0 | tmp2;
2022-11-23T01:30:19.4604831Z                     auto tmp4 = tmp0 ^ tmp2;
2022-11-23T01:30:19.4604921Z                     auto tmp5 = tmp0 & tmp2;
2022-11-23T01:30:19.4604992Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.4605078Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:30:19.4605161Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:30:19.4605242Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:30:19.4605307Z                 }
2022-11-23T01:30:19.4605371Z             }
2022-11-23T01:30:19.4605434Z         }
2022-11-23T01:30:19.4605484Z     }
2022-11-23T01:30:19.4605543Z }
2022-11-23T01:30:19.4605622Z ''')
2022-11-23T01:30:19.4605627Z 
2022-11-23T01:30:19.4605631Z 
2022-11-23T01:30:19.4605720Z async_compile.wait(globals())
2022-11-23T01:30:19.4605788Z del async_compile
2022-11-23T01:30:19.4605792Z 
2022-11-23T01:30:19.4605865Z def call(args):
2022-11-23T01:30:19.4605942Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4606012Z     args.clear()
2022-11-23T01:30:19.4606206Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:19.4606393Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:19.4606566Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:19.4606749Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:19.4606982Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:19.4607051Z     del arg0_1
2022-11-23T01:30:19.4607116Z     del arg1_1
2022-11-23T01:30:19.4607202Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:30:19.4607208Z 
2022-11-23T01:30:19.4607212Z 
2022-11-23T01:30:19.4607287Z if __name__ == "__main__":
2022-11-23T01:30:19.4607399Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4607511Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4607702Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:19.4607890Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:19.4608007Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4608012Z 
2022-11-23T01:30:19.4608078Z ok (1.414s)
2022-11-23T01:30:19.4608374Z   test_bmm1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:44,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4608690Z [2022-11-23 01:22:44,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4608906Z [2022-11-23 01:22:44,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4609157Z [2022-11-23 01:22:44,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4609452Z [2022-11-23 01:22:44,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4609771Z [2022-11-23 01:22:44,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4610115Z [2022-11-23 01:22:44,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4610433Z [2022-11-23 01:22:44,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4610812Z [2022-11-23 01:22:44,994] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367> 
2022-11-23T01:30:19.4610937Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4611032Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:30:19.4611123Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4611216Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4611293Z                8 CALL_METHOD              2
2022-11-23T01:30:19.4611312Z 
2022-11-23T01:30:19.4611392Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4611484Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T01:30:19.4611574Z               14 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4611664Z               16 LOAD_CONST               1 (1)
2022-11-23T01:30:19.4611738Z               18 BINARY_ADD
2022-11-23T01:30:19.4611826Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4611914Z               22 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4611974Z               24 BINARY_ADD
2022-11-23T01:30:19.4612062Z               26 CALL_METHOD              2
2022-11-23T01:30:19.4612152Z               28 LOAD_CONST               3 (3)
2022-11-23T01:30:19.4612226Z               30 BINARY_ADD
2022-11-23T01:30:19.4612231Z 
2022-11-23T01:30:19.4612322Z 1368          32 BUILD_TUPLE              2
2022-11-23T01:30:19.4612398Z               34 RETURN_VALUE
2022-11-23T01:30:19.4612461Z  
2022-11-23T01:30:19.4612465Z 
2022-11-23T01:30:19.4612765Z [2022-11-23 01:22:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369
2022-11-23T01:30:19.4612987Z [2022-11-23 01:22:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4613351Z [2022-11-23 01:22:44,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4613669Z [2022-11-23 01:22:44,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4614015Z [2022-11-23 01:22:44,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4614392Z [2022-11-23 01:22:44,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4614702Z [2022-11-23 01:22:44,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370
2022-11-23T01:30:19.4614949Z [2022-11-23 01:22:44,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.4615336Z [2022-11-23 01:22:44,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4615725Z [2022-11-23 01:22:44,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4616098Z [2022-11-23 01:22:44,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4616632Z [2022-11-23 01:22:44,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4617004Z [2022-11-23 01:22:44,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4617389Z [2022-11-23 01:22:44,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4617891Z [2022-11-23 01:22:44,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4618296Z [2022-11-23 01:22:44,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4618563Z [2022-11-23 01:22:44,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4618870Z [2022-11-23 01:22:44,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4619182Z [2022-11-23 01:22:44,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368
2022-11-23T01:30:19.4619455Z [2022-11-23 01:22:44,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4619702Z [2022-11-23 01:22:45,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4620084Z [2022-11-23 01:22:45,000] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367>
2022-11-23T01:30:19.4620328Z [2022-11-23 01:22:45,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4620564Z [2022-11-23 01:22:45,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4620806Z [2022-11-23 01:22:45,001] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4621128Z [2022-11-23 01:22:45,005] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4621372Z [2022-11-23 01:22:45,005] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4621508Z  __compiled_fn_43 <eval_with_key>.282 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4621600Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4621684Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4621912Z call_function, bmm, <built-in method bmm of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4622082Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.4622243Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:30:19.4622467Z call_function, bmm_1, <built-in method bmm of type object at 0x7ff5d7c59c60>, (add, add_1), {}
2022-11-23T01:30:19.4622638Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T01:30:19.4622747Z output, output, output, ((bmm, add_2),), {}
2022-11-23T01:30:19.4622752Z 
2022-11-23T01:30:19.4623127Z [2022-11-23 01:22:45,006] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4623222Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4623311Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4623396Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4623475Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4623561Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4623652Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4623727Z              12 RETURN_VALUE
2022-11-23T01:30:19.4623733Z 
2022-11-23T01:30:19.4623793Z  
2022-11-23T01:30:19.4624117Z [2022-11-23 01:22:45,006] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4624251Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_43)
2022-11-23T01:30:19.4624339Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4624417Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4624493Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4624579Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4624663Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4624736Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4624821Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4624922Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4625011Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4625097Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4625172Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4625272Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4625360Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4625433Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.4625519Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.4625582Z              32 RETURN_VALUE
2022-11-23T01:30:19.4625601Z 
2022-11-23T01:30:19.4625650Z  
2022-11-23T01:30:19.4625830Z [2022-11-23 01:22:45,007] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4625899Z  - 
2022-11-23T01:30:19.4626017Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4626080Z             {
2022-11-23T01:30:19.4626221Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4626394Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4626511Z                 'obj_weakref': None
2022-11-23T01:30:19.4626733Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4626797Z             }
2022-11-23T01:30:19.4626861Z             
2022-11-23T01:30:19.4626930Z  - 
2022-11-23T01:30:19.4627051Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4627101Z             {
2022-11-23T01:30:19.4627240Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4627346Z                 'code': None,
2022-11-23T01:30:19.4627559Z                 'obj_weakref': <weakref at 0x7ff58fd50fe0; to 'Tensor' at 0x7ff5a8232840>
2022-11-23T01:30:19.4627811Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4627873Z             }
2022-11-23T01:30:19.4627935Z             
2022-11-23T01:30:19.4628003Z  - 
2022-11-23T01:30:19.4628112Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4628172Z             {
2022-11-23T01:30:19.4628312Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4628417Z                 'code': None,
2022-11-23T01:30:19.4628623Z                 'obj_weakref': <weakref at 0x7ff58fe58180; to 'Tensor' at 0x7ff58fec8310>
2022-11-23T01:30:19.4628878Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4628940Z             }
2022-11-23T01:30:19.4629020Z             
2022-11-23T01:30:19.4629089Z  - 
2022-11-23T01:30:19.4629216Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4629279Z             {
2022-11-23T01:30:19.4629409Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4629575Z                 'code': ['___check_obj_id(model, 140693070731664)'],
2022-11-23T01:30:19.4629691Z                 'obj_weakref': None
2022-11-23T01:30:19.4629905Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4629966Z             }
2022-11-23T01:30:19.4630028Z             
2022-11-23T01:30:19.4630094Z  - 
2022-11-23T01:30:19.4630213Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4630277Z             {
2022-11-23T01:30:19.4630400Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4630640Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4630755Z                 'obj_weakref': None
2022-11-23T01:30:19.4630975Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4631037Z             }
2022-11-23T01:30:19.4631098Z             
2022-11-23T01:30:19.4631164Z  - 
2022-11-23T01:30:19.4631284Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4631348Z             {
2022-11-23T01:30:19.4631465Z                 'guard_types': None,
2022-11-23T01:30:19.4631570Z                 'code': None,
2022-11-23T01:30:19.4631698Z                 'obj_weakref': None
2022-11-23T01:30:19.4631878Z                 'guarded_class': None
2022-11-23T01:30:19.4631967Z             }
2022-11-23T01:30:19.4632048Z             
2022-11-23T01:30:19.4632378Z [2022-11-23 01:22:45,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 42
2022-11-23T01:30:19.4632758Z [2022-11-23 01:22:46,450] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6g/c6g65fofliyjuya7mdtksem54mkp4s6xq2hiitwxwhllk3lbngwz.py
2022-11-23T01:30:19.4633021Z [2022-11-23 01:22:46,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 42
2022-11-23T01:30:19.4633257Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4633572Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4633784Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4634099Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4634377Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4634700Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4635031Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4635351Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4635724Z [2022-11-23 01:22:46,456] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367> 
2022-11-23T01:30:19.4635821Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4635915Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:30:19.4636009Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4636100Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4636188Z                8 CALL_METHOD              2
2022-11-23T01:30:19.4636237Z 
2022-11-23T01:30:19.4636333Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4636411Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T01:30:19.4636498Z               14 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4636586Z               16 LOAD_CONST               1 (1)
2022-11-23T01:30:19.4636657Z               18 BINARY_ADD
2022-11-23T01:30:19.4636741Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4636825Z               22 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4636895Z               24 BINARY_ADD
2022-11-23T01:30:19.4636970Z               26 CALL_METHOD              2
2022-11-23T01:30:19.4637055Z               28 LOAD_CONST               3 (3)
2022-11-23T01:30:19.4637125Z               30 BINARY_ADD
2022-11-23T01:30:19.4637161Z 
2022-11-23T01:30:19.4637249Z 1368          32 BUILD_TUPLE              2
2022-11-23T01:30:19.4637325Z               34 RETURN_VALUE
2022-11-23T01:30:19.4637386Z  
2022-11-23T01:30:19.4637393Z 
2022-11-23T01:30:19.4637709Z [2022-11-23 01:22:46,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1369
2022-11-23T01:30:19.4637925Z [2022-11-23 01:22:46,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4638276Z [2022-11-23 01:22:46,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4638590Z [2022-11-23 01:22:46,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4638930Z [2022-11-23 01:22:46,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4639311Z [2022-11-23 01:22:46,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4639619Z [2022-11-23 01:22:46,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1370
2022-11-23T01:30:19.4639864Z [2022-11-23 01:22:46,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.4640251Z [2022-11-23 01:22:46,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4640592Z [2022-11-23 01:22:46,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4640964Z [2022-11-23 01:22:46,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4641385Z [2022-11-23 01:22:46,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4641754Z [2022-11-23 01:22:46,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4642152Z [2022-11-23 01:22:46,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4642617Z [2022-11-23 01:22:46,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4643013Z [2022-11-23 01:22:46,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4643277Z [2022-11-23 01:22:46,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4643583Z [2022-11-23 01:22:46,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4643894Z [2022-11-23 01:22:46,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1368
2022-11-23T01:30:19.4644162Z [2022-11-23 01:22:46,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4644440Z [2022-11-23 01:22:46,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4644819Z [2022-11-23 01:22:46,461] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16a8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1367>
2022-11-23T01:30:19.4645060Z [2022-11-23 01:22:46,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4645289Z [2022-11-23 01:22:46,461] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4645542Z [2022-11-23 01:22:46,462] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4645793Z [2022-11-23 01:22:46,468] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4645973Z [2022-11-23 01:22:46,468] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4646105Z  __compiled_fn_44 <eval_with_key>.288 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4646194Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4646282Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4646508Z call_function, bmm, <built-in method bmm of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4646679Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.4646851Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:30:19.4647064Z call_function, bmm_1, <built-in method bmm of type object at 0x7ff5d7c59c60>, (add, add_1), {}
2022-11-23T01:30:19.4647237Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T01:30:19.4647337Z output, output, output, ((bmm, add_2),), {}
2022-11-23T01:30:19.4647343Z 
2022-11-23T01:30:19.4647665Z [2022-11-23 01:22:46,469] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4647762Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4647852Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4647938Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4648028Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4648101Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4648186Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4648260Z              12 RETURN_VALUE
2022-11-23T01:30:19.4648265Z 
2022-11-23T01:30:19.4648324Z  
2022-11-23T01:30:19.4648645Z [2022-11-23 01:22:46,469] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4648750Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_44)
2022-11-23T01:30:19.4648838Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4648928Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4648992Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4649107Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4649194Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4649267Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4649354Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4649455Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4649554Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4649629Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4649703Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4649802Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4649888Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4649962Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.4650047Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.4650151Z              32 RETURN_VALUE
2022-11-23T01:30:19.4650156Z 
2022-11-23T01:30:19.4650205Z  
2022-11-23T01:30:19.4650388Z [2022-11-23 01:22:46,469] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4650457Z  - 
2022-11-23T01:30:19.4650577Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4650640Z             {
2022-11-23T01:30:19.4650778Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4650962Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4651068Z                 'obj_weakref': None
2022-11-23T01:30:19.4651289Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4651355Z             }
2022-11-23T01:30:19.4651418Z             
2022-11-23T01:30:19.4651487Z  - 
2022-11-23T01:30:19.4651608Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4651669Z             {
2022-11-23T01:30:19.4651798Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4651905Z                 'code': None,
2022-11-23T01:30:19.4652118Z                 'obj_weakref': <weakref at 0x7ff58fe5b010; to 'Tensor' at 0x7ff5a8232840>
2022-11-23T01:30:19.4652370Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4652433Z             }
2022-11-23T01:30:19.4652495Z             
2022-11-23T01:30:19.4652561Z  - 
2022-11-23T01:30:19.4652671Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4652732Z             {
2022-11-23T01:30:19.4652873Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4652979Z                 'code': None,
2022-11-23T01:30:19.4653190Z                 'obj_weakref': <weakref at 0x7ff58fdc94e0; to 'Tensor' at 0x7ff58fec8310>
2022-11-23T01:30:19.4653440Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4653501Z             }
2022-11-23T01:30:19.4653565Z             
2022-11-23T01:30:19.4653621Z  - 
2022-11-23T01:30:19.4653749Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4653811Z             {
2022-11-23T01:30:19.4653945Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4654112Z                 'code': ['___check_obj_id(model, 140693070731664)'],
2022-11-23T01:30:19.4654229Z                 'obj_weakref': None
2022-11-23T01:30:19.4654455Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4654505Z             }
2022-11-23T01:30:19.4654567Z             
2022-11-23T01:30:19.4654634Z  - 
2022-11-23T01:30:19.4654753Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4654815Z             {
2022-11-23T01:30:19.4654949Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4655151Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4655269Z                 'obj_weakref': None
2022-11-23T01:30:19.4655486Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4655547Z             }
2022-11-23T01:30:19.4655639Z             
2022-11-23T01:30:19.4655706Z  - 
2022-11-23T01:30:19.4655838Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4655887Z             {
2022-11-23T01:30:19.4656004Z                 'guard_types': None,
2022-11-23T01:30:19.4656108Z                 'code': None,
2022-11-23T01:30:19.4656222Z                 'obj_weakref': None
2022-11-23T01:30:19.4656341Z                 'guarded_class': None
2022-11-23T01:30:19.4656402Z             }
2022-11-23T01:30:19.4656589Z             
2022-11-23T01:30:19.4656838Z [2022-11-23 01:22:46,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 43
2022-11-23T01:30:19.4657202Z [2022-11-23 01:22:47,923] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ly/clybachwkc3f3wlrcy4j4262dpwuebhsdcys33ieua6uxl35qg4m.py
2022-11-23T01:30:19.4657518Z [2022-11-23 01:22:47,923] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 43
2022-11-23T01:30:19.4657524Z 
2022-11-23T01:30:19.4657619Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4657690Z import torch
2022-11-23T01:30:19.4657761Z import random
2022-11-23T01:30:19.4657876Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4657998Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4658003Z 
2022-11-23T01:30:19.4658068Z aten = torch.ops.aten
2022-11-23T01:30:19.4658203Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4658297Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4658302Z 
2022-11-23T01:30:19.4658307Z 
2022-11-23T01:30:19.4658443Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4658650Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4658775Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4658880Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.4658984Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4659068Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.4659132Z {
2022-11-23T01:30:19.4659232Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4659295Z     {
2022-11-23T01:30:19.4659373Z         #pragma omp for 
2022-11-23T01:30:19.4659456Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.4659520Z         {
2022-11-23T01:30:19.4659652Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.4659785Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.4659872Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4659964Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.4660028Z         }
2022-11-23T01:30:19.4660130Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4660215Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:30:19.4660266Z         {
2022-11-23T01:30:19.4660354Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4660454Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.4660539Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4660620Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.4660684Z         }
2022-11-23T01:30:19.4660760Z         #pragma omp for 
2022-11-23T01:30:19.4660827Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.4660890Z         {
2022-11-23T01:30:19.4661021Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.4661151Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.4661237Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4661326Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.4661390Z         }
2022-11-23T01:30:19.4661473Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4661555Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:30:19.4661620Z         {
2022-11-23T01:30:19.4661761Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:19.4661862Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.4661947Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4662028Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.4662078Z         }
2022-11-23T01:30:19.4662141Z     }
2022-11-23T01:30:19.4662202Z }
2022-11-23T01:30:19.4662283Z ''')
2022-11-23T01:30:19.4662288Z 
2022-11-23T01:30:19.4662292Z 
2022-11-23T01:30:19.4662424Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:30:19.4662629Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4662747Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:30:19.4662809Z {
2022-11-23T01:30:19.4662892Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4662981Z     {
2022-11-23T01:30:19.4663057Z         #pragma omp for 
2022-11-23T01:30:19.4663136Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.4663198Z         {
2022-11-23T01:30:19.4663335Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.4663464Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:19.4663536Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4663630Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.4663693Z         }
2022-11-23T01:30:19.4663784Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4663864Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:30:19.4663924Z         {
2022-11-23T01:30:19.4664010Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.4664095Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:30:19.4664176Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4664256Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.4664319Z         }
2022-11-23T01:30:19.4664379Z     }
2022-11-23T01:30:19.4664437Z }
2022-11-23T01:30:19.4664502Z ''')
2022-11-23T01:30:19.4664507Z 
2022-11-23T01:30:19.4664524Z 
2022-11-23T01:30:19.4664602Z async_compile.wait(globals())
2022-11-23T01:30:19.4664674Z del async_compile
2022-11-23T01:30:19.4664679Z 
2022-11-23T01:30:19.4664747Z def call(args):
2022-11-23T01:30:19.4664822Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4664893Z     args.clear()
2022-11-23T01:30:19.4665096Z     buf0 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4665191Z     aten.bmm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T01:30:19.4665381Z     buf1 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4665576Z     buf2 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4665766Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.4665840Z     del arg0_1
2022-11-23T01:30:19.4665905Z     del arg1_1
2022-11-23T01:30:19.4666106Z     buf3 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4666196Z     aten.bmm.out(buf1, buf2, out=buf3)
2022-11-23T01:30:19.4666247Z     del buf1
2022-11-23T01:30:19.4666310Z     del buf2
2022-11-23T01:30:19.4666393Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:30:19.4666493Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.4666570Z     return (buf0, buf4, )
2022-11-23T01:30:19.4666575Z 
2022-11-23T01:30:19.4666579Z 
2022-11-23T01:30:19.4666653Z if __name__ == "__main__":
2022-11-23T01:30:19.4666765Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4666886Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4667076Z     arg0_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4667271Z     arg1_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4667387Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4667393Z 
2022-11-23T01:30:19.4667397Z 
2022-11-23T01:30:19.4667522Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4667591Z import torch
2022-11-23T01:30:19.4667660Z import random
2022-11-23T01:30:19.4667773Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4667891Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4667896Z 
2022-11-23T01:30:19.4667961Z aten = torch.ops.aten
2022-11-23T01:30:19.4668093Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4668183Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4668188Z 
2022-11-23T01:30:19.4668192Z 
2022-11-23T01:30:19.4668325Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4668529Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4668648Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4668776Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.4668874Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4668960Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.4669021Z {
2022-11-23T01:30:19.4669117Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4669179Z     {
2022-11-23T01:30:19.4669254Z         #pragma omp for 
2022-11-23T01:30:19.4669336Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.4669396Z         {
2022-11-23T01:30:19.4669516Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.4669645Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.4669729Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4669818Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.4669880Z         }
2022-11-23T01:30:19.4669971Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4670053Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:30:19.4670102Z         {
2022-11-23T01:30:19.4670183Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4670281Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.4670364Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4670441Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.4670507Z         }
2022-11-23T01:30:19.4670583Z         #pragma omp for 
2022-11-23T01:30:19.4670650Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:19.4670710Z         {
2022-11-23T01:30:19.4670837Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.4670966Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.4671047Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4671135Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.4671195Z         }
2022-11-23T01:30:19.4671275Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4671358Z         for(long i0=80; i0<80; i0+=1)
2022-11-23T01:30:19.4671420Z         {
2022-11-23T01:30:19.4671501Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:19.4671598Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.4671679Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4671756Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.4671805Z         }
2022-11-23T01:30:19.4671865Z     }
2022-11-23T01:30:19.4671924Z }
2022-11-23T01:30:19.4672001Z ''')
2022-11-23T01:30:19.4672006Z 
2022-11-23T01:30:19.4672010Z 
2022-11-23T01:30:19.4672139Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:30:19.4672341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4672456Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:30:19.4672504Z {
2022-11-23T01:30:19.4672598Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4672658Z     {
2022-11-23T01:30:19.4672737Z         #pragma omp for 
2022-11-23T01:30:19.4672815Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:30:19.4672877Z         {
2022-11-23T01:30:19.4673040Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.4673161Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:19.4673244Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4673338Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.4673399Z         }
2022-11-23T01:30:19.4673492Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4673570Z         for(long i0=160; i0<160; i0+=1)
2022-11-23T01:30:19.4673632Z         {
2022-11-23T01:30:19.4673707Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.4673877Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:30:19.4673962Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4674043Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.4674106Z         }
2022-11-23T01:30:19.4674200Z     }
2022-11-23T01:30:19.4674259Z }
2022-11-23T01:30:19.4674326Z ''')
2022-11-23T01:30:19.4674331Z 
2022-11-23T01:30:19.4674335Z 
2022-11-23T01:30:19.4674426Z async_compile.wait(globals())
2022-11-23T01:30:19.4674499Z del async_compile
2022-11-23T01:30:19.4674504Z 
2022-11-23T01:30:19.4674574Z def call(args):
2022-11-23T01:30:19.4674649Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4674720Z     args.clear()
2022-11-23T01:30:19.4674931Z     buf0 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4675082Z     aten.mm.out(as_strided(arg0_1, (16, 8), (8, 1)), as_strided(arg1_1, (8, 10), (10, 1)), out=as_strided(buf0, (16, 10), (10, 1)))
2022-11-23T01:30:19.4675286Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4675483Z     buf2 = empty_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4675669Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.4675740Z     del arg0_1
2022-11-23T01:30:19.4675805Z     del arg1_1
2022-11-23T01:30:19.4676012Z     buf3 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4676172Z     aten.mm.out(as_strided(buf1, (16, 8), (8, 1)), as_strided(buf2, (8, 10), (10, 1)), out=as_strided(buf3, (16, 10), (10, 1)))
2022-11-23T01:30:19.4676225Z     del buf1
2022-11-23T01:30:19.4676288Z     del buf2
2022-11-23T01:30:19.4676371Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:30:19.4676472Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.4676549Z     return (buf0, buf4, )
2022-11-23T01:30:19.4676554Z 
2022-11-23T01:30:19.4676559Z 
2022-11-23T01:30:19.4676633Z if __name__ == "__main__":
2022-11-23T01:30:19.4676746Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4676867Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4677060Z     arg0_1 = rand_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4677256Z     arg1_1 = rand_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4677370Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4677376Z 
2022-11-23T01:30:19.4677442Z ok (2.937s)
2022-11-23T01:30:19.4677743Z   test_bmm2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:47,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4678059Z [2022-11-23 01:22:47,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4678275Z [2022-11-23 01:22:47,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4678524Z [2022-11-23 01:22:47,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4678799Z [2022-11-23 01:22:47,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4679173Z [2022-11-23 01:22:47,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4679520Z [2022-11-23 01:22:47,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4679839Z [2022-11-23 01:22:47,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4680213Z [2022-11-23 01:22:47,932] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1391> 
2022-11-23T01:30:19.4680310Z  1392           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4680402Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:30:19.4680526Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4680625Z                6 LOAD_METHOD              2 (permute)
2022-11-23T01:30:19.4680717Z                8 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4680792Z               10 LOAD_CONST               2 (2)
2022-11-23T01:30:19.4680881Z               12 LOAD_CONST               3 (1)
2022-11-23T01:30:19.4680968Z               14 CALL_METHOD              3
2022-11-23T01:30:19.4681054Z               16 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4681140Z               18 CALL_METHOD              2
2022-11-23T01:30:19.4681216Z               20 RETURN_VALUE
2022-11-23T01:30:19.4681276Z  
2022-11-23T01:30:19.4681281Z 
2022-11-23T01:30:19.4681581Z [2022-11-23 01:22:47,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1392
2022-11-23T01:30:19.4681798Z [2022-11-23 01:22:47,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4682162Z [2022-11-23 01:22:47,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4682485Z [2022-11-23 01:22:47,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4682837Z [2022-11-23 01:22:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4683225Z [2022-11-23 01:22:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), permute)]
2022-11-23T01:30:19.4683650Z [2022-11-23 01:22:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int)]
2022-11-23T01:30:19.4684111Z [2022-11-23 01:22:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4684611Z [2022-11-23 01:22:47,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4684950Z [2022-11-23 01:22:47,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4685327Z [2022-11-23 01:22:47,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4685600Z [2022-11-23 01:22:47,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4685977Z [2022-11-23 01:22:47,936] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16aa20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1391>
2022-11-23T01:30:19.4686217Z [2022-11-23 01:22:47,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4686436Z [2022-11-23 01:22:47,936] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4686686Z [2022-11-23 01:22:47,937] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4686936Z [2022-11-23 01:22:47,941] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4687147Z [2022-11-23 01:22:47,942] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4687281Z  __compiled_fn_45 <eval_with_key>.294 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4687371Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4687456Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4687563Z call_method, permute, permute, (ex_0_, 0, 2, 1), {}
2022-11-23T01:30:19.4687785Z call_function, bmm, <built-in method bmm of type object at 0x7ff5d7c59c60>, (permute, ex_1_), {}
2022-11-23T01:30:19.4687878Z output, output, output, ((bmm,),), {}
2022-11-23T01:30:19.4687884Z 
2022-11-23T01:30:19.4688205Z [2022-11-23 01:22:47,942] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4688303Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4688394Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4688480Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4688573Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4688656Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4688735Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4688809Z              12 RETURN_VALUE
2022-11-23T01:30:19.4688815Z 
2022-11-23T01:30:19.4688877Z  
2022-11-23T01:30:19.4689201Z [2022-11-23 01:22:47,942] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4689307Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_45)
2022-11-23T01:30:19.4689396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4689484Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4689548Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4689635Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4689720Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4689793Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4689883Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4689972Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4690047Z              18 RETURN_VALUE
2022-11-23T01:30:19.4690052Z 
2022-11-23T01:30:19.4690110Z  
2022-11-23T01:30:19.4690280Z [2022-11-23 01:22:47,943] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4690347Z  - 
2022-11-23T01:30:19.4690465Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4690528Z             {
2022-11-23T01:30:19.4690665Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4690850Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4690966Z                 'obj_weakref': None
2022-11-23T01:30:19.4691176Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4691239Z             }
2022-11-23T01:30:19.4691305Z             
2022-11-23T01:30:19.4691375Z  - 
2022-11-23T01:30:19.4691496Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4691557Z             {
2022-11-23T01:30:19.4691685Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4691823Z                 'code': None,
2022-11-23T01:30:19.4692036Z                 'obj_weakref': <weakref at 0x7ff58fda5f30; to 'Tensor' at 0x7ff5a8232840>
2022-11-23T01:30:19.4692288Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4692351Z             }
2022-11-23T01:30:19.4692412Z             
2022-11-23T01:30:19.4692480Z  - 
2022-11-23T01:30:19.4692599Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4692650Z             {
2022-11-23T01:30:19.4692790Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4692895Z                 'code': None,
2022-11-23T01:30:19.4693106Z                 'obj_weakref': <weakref at 0x7ff58fe58ae0; to 'Tensor' at 0x7ff58fd53ab0>
2022-11-23T01:30:19.4693394Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4693460Z             }
2022-11-23T01:30:19.4693524Z             
2022-11-23T01:30:19.4693584Z  - 
2022-11-23T01:30:19.4693714Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4693781Z             {
2022-11-23T01:30:19.4693918Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4694088Z                 'code': ['___check_obj_id(model, 140692658411920)'],
2022-11-23T01:30:19.4694209Z                 'obj_weakref': None
2022-11-23T01:30:19.4694440Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4694491Z             }
2022-11-23T01:30:19.4694555Z             
2022-11-23T01:30:19.4694625Z  - 
2022-11-23T01:30:19.4694747Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4694811Z             {
2022-11-23T01:30:19.4694947Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4695165Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4695271Z                 'obj_weakref': None
2022-11-23T01:30:19.4695493Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4695558Z             }
2022-11-23T01:30:19.4695623Z             
2022-11-23T01:30:19.4695692Z  - 
2022-11-23T01:30:19.4695826Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4695875Z             {
2022-11-23T01:30:19.4695995Z                 'guard_types': None,
2022-11-23T01:30:19.4696101Z                 'code': None,
2022-11-23T01:30:19.4696219Z                 'obj_weakref': None
2022-11-23T01:30:19.4696340Z                 'guarded_class': None
2022-11-23T01:30:19.4696525Z             }
2022-11-23T01:30:19.4696586Z             
2022-11-23T01:30:19.4696837Z [2022-11-23 01:22:47,951] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 44
2022-11-23T01:30:19.4697209Z [2022-11-23 01:22:47,955] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd3gwhzvxithzo666ro2erxgfvvearf4fkggfxxaauv2nzqvov2f.py
2022-11-23T01:30:19.4697474Z [2022-11-23 01:22:47,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 44
2022-11-23T01:30:19.4697480Z 
2022-11-23T01:30:19.4697575Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4697648Z import torch
2022-11-23T01:30:19.4697718Z import random
2022-11-23T01:30:19.4697835Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4697959Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4697964Z 
2022-11-23T01:30:19.4698042Z aten = torch.ops.aten
2022-11-23T01:30:19.4698164Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4698256Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4698262Z 
2022-11-23T01:30:19.4698266Z 
2022-11-23T01:30:19.4698356Z async_compile.wait(globals())
2022-11-23T01:30:19.4698434Z del async_compile
2022-11-23T01:30:19.4698439Z 
2022-11-23T01:30:19.4698513Z def call(args):
2022-11-23T01:30:19.4698589Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4698715Z     args.clear()
2022-11-23T01:30:19.4698909Z     buf0 = empty_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4699070Z     aten.mm.out(as_strided(arg0_1, (8, 8), (1, 8)), as_strided(arg1_1, (8, 8), (8, 1)), out=as_strided(buf0, (8, 8), (8, 1)))
2022-11-23T01:30:19.4699137Z     del arg0_1
2022-11-23T01:30:19.4699204Z     del arg1_1
2022-11-23T01:30:19.4699277Z     return (buf0, )
2022-11-23T01:30:19.4699282Z 
2022-11-23T01:30:19.4699287Z 
2022-11-23T01:30:19.4699362Z if __name__ == "__main__":
2022-11-23T01:30:19.4699477Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4699599Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4699789Z     arg0_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4700026Z     arg1_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4700140Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4700148Z 
2022-11-23T01:30:19.4700214Z ok (0.031s)
2022-11-23T01:30:19.4700514Z   test_bool_cpu (__main__.CpuTests) ... [2022-11-23 01:22:47,961] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4700834Z [2022-11-23 01:22:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4701049Z [2022-11-23 01:22:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4701301Z [2022-11-23 01:22:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4701579Z [2022-11-23 01:22:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4701887Z [2022-11-23 01:22:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4702237Z [2022-11-23 01:22:47,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4702561Z [2022-11-23 01:22:47,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4702930Z [2022-11-23 01:22:47,962] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d198450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621> 
2022-11-23T01:30:19.4703022Z  623           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4703111Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4703183Z               4 BINARY_ADD
2022-11-23T01:30:19.4703193Z 
2022-11-23T01:30:19.4703280Z 624           6 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4703365Z               8 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4703434Z              10 BINARY_MULTIPLY
2022-11-23T01:30:19.4703438Z 
2022-11-23T01:30:19.4703524Z 625          12 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4703611Z              14 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4703683Z              16 BINARY_AND
2022-11-23T01:30:19.4703688Z 
2022-11-23T01:30:19.4703772Z 626          18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4703855Z              20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4703924Z              22 BINARY_OR
2022-11-23T01:30:19.4703928Z 
2022-11-23T01:30:19.4704010Z 627          24 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4704082Z              26 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4704153Z              28 BINARY_XOR
2022-11-23T01:30:19.4704157Z 
2022-11-23T01:30:19.4704248Z 628          30 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4704350Z              32 LOAD_METHOD              1 (logical_and)
2022-11-23T01:30:19.4704436Z              34 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4704566Z              36 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4704652Z              38 CALL_METHOD              2
2022-11-23T01:30:19.4704657Z 
2022-11-23T01:30:19.4704748Z 629          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4704835Z              42 LOAD_METHOD              2 (logical_or)
2022-11-23T01:30:19.4704925Z              44 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4705010Z              46 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4705095Z              48 CALL_METHOD              2
2022-11-23T01:30:19.4705100Z 
2022-11-23T01:30:19.4705190Z 630          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4705287Z              52 LOAD_METHOD              3 (logical_not)
2022-11-23T01:30:19.4705372Z              54 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4705475Z              56 CALL_METHOD              1
2022-11-23T01:30:19.4705492Z 
2022-11-23T01:30:19.4705569Z 631          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4705661Z              60 LOAD_METHOD              4 (sign)
2022-11-23T01:30:19.4705747Z              62 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4705831Z              64 CALL_METHOD              1
2022-11-23T01:30:19.4705836Z 
2022-11-23T01:30:19.4705920Z 622          66 BUILD_TUPLE              9
2022-11-23T01:30:19.4705993Z              68 RETURN_VALUE
2022-11-23T01:30:19.4706053Z  
2022-11-23T01:30:19.4706058Z 
2022-11-23T01:30:19.4706361Z [2022-11-23 01:22:47,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:623
2022-11-23T01:30:19.4706570Z [2022-11-23 01:22:47,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.4706806Z [2022-11-23 01:22:47,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:19.4707078Z [2022-11-23 01:22:47,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4707388Z [2022-11-23 01:22:47,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:624
2022-11-23T01:30:19.4707619Z [2022-11-23 01:22:47,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:19.4707879Z [2022-11-23 01:22:47,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4708185Z [2022-11-23 01:22:47,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4708490Z [2022-11-23 01:22:47,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:625
2022-11-23T01:30:19.4708752Z [2022-11-23 01:22:47,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4709032Z [2022-11-23 01:22:47,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4709355Z [2022-11-23 01:22:47,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4709662Z [2022-11-23 01:22:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:626
2022-11-23T01:30:19.4709950Z [2022-11-23 01:22:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4710264Z [2022-11-23 01:22:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4710614Z [2022-11-23 01:22:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_OR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4710952Z [2022-11-23 01:22:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:627
2022-11-23T01:30:19.4711270Z [2022-11-23 01:22:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4711612Z [2022-11-23 01:22:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4711995Z [2022-11-23 01:22:47,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_XOR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4712329Z [2022-11-23 01:22:47,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:628
2022-11-23T01:30:19.4712685Z [2022-11-23 01:22:47,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4713205Z [2022-11-23 01:22:47,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_and [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4713665Z [2022-11-23 01:22:47,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4714241Z [2022-11-23 01:22:47,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4714782Z [2022-11-23 01:22:47,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4715094Z [2022-11-23 01:22:47,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:629
2022-11-23T01:30:19.4715473Z [2022-11-23 01:22:47,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4716022Z [2022-11-23 01:22:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_or [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4716524Z [2022-11-23 01:22:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4717057Z [2022-11-23 01:22:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4717616Z [2022-11-23 01:22:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4717967Z [2022-11-23 01:22:47,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:630
2022-11-23T01:30:19.4718381Z [2022-11-23 01:22:47,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4718958Z [2022-11-23 01:22:47,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4719483Z [2022-11-23 01:22:47,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4720075Z [2022-11-23 01:22:47,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4720384Z [2022-11-23 01:22:47,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:631
2022-11-23T01:30:19.4720826Z [2022-11-23 01:22:47,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4721418Z [2022-11-23 01:22:47,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sign [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4721960Z [2022-11-23 01:22:47,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4722534Z [2022-11-23 01:22:47,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4722848Z [2022-11-23 01:22:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:622
2022-11-23T01:30:19.4723308Z [2022-11-23 01:22:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4723551Z [2022-11-23 01:22:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4723923Z [2022-11-23 01:22:47,976] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d198450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 621>
2022-11-23T01:30:19.4724154Z [2022-11-23 01:22:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4724390Z [2022-11-23 01:22:47,976] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4724672Z [2022-11-23 01:22:47,978] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4724921Z [2022-11-23 01:22:47,984] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4725109Z [2022-11-23 01:22:47,984] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4725242Z  __compiled_fn_46 <eval_with_key>.300 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4725331Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4725416Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4725596Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4725758Z call_function, mul, <built-in function mul>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4725932Z call_function, and_, <built-in function and_>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4726139Z call_function, or_, <built-in function or_>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4726309Z call_function, xor, <built-in function xor>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4726568Z call_function, logical_and, <built-in method logical_and of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4726819Z call_function, logical_or, <built-in method logical_or of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4727064Z call_function, logical_not, <built-in method logical_not of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.4727284Z call_function, sign, <built-in method sign of type object at 0x7ff5d7c59c60>, (ex_1_,), {}
2022-11-23T01:30:19.4727435Z output, output, output, ((add, mul, and_, or_, xor, logical_and, logical_or, logical_not, sign),), {}
2022-11-23T01:30:19.4727442Z 
2022-11-23T01:30:19.4727765Z [2022-11-23 01:22:47,985] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4727860Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4727949Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4728037Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4728127Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4728211Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4728298Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4728361Z              12 RETURN_VALUE
2022-11-23T01:30:19.4728366Z 
2022-11-23T01:30:19.4728426Z  
2022-11-23T01:30:19.4728748Z [2022-11-23 01:22:47,985] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4728855Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_46)
2022-11-23T01:30:19.4728944Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4729030Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4729108Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4729183Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4729272Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4729345Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4729432Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4729533Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4729633Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4729719Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4729792Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4729880Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4729966Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4730040Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.4730137Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4730222Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.4730298Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.4730397Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4730496Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.4730570Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.4730670Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4730756Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.4730829Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.4730930Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4731016Z              50 LOAD_CONST               6 (5)
2022-11-23T01:30:19.4731078Z              52 BINARY_SUBSCR
2022-11-23T01:30:19.4731174Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4731260Z              56 LOAD_CONST               7 (6)
2022-11-23T01:30:19.4731333Z              58 BINARY_SUBSCR
2022-11-23T01:30:19.4731432Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4731546Z              62 LOAD_CONST               8 (7)
2022-11-23T01:30:19.4731620Z              64 BINARY_SUBSCR
2022-11-23T01:30:19.4731708Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4731794Z              68 LOAD_CONST               9 (8)
2022-11-23T01:30:19.4731866Z              70 BINARY_SUBSCR
2022-11-23T01:30:19.4731954Z              72 BUILD_TUPLE              9
2022-11-23T01:30:19.4732027Z              74 RETURN_VALUE
2022-11-23T01:30:19.4732033Z 
2022-11-23T01:30:19.4732092Z  
2022-11-23T01:30:19.4732276Z [2022-11-23 01:22:47,986] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4732333Z  - 
2022-11-23T01:30:19.4732449Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4732513Z             {
2022-11-23T01:30:19.4732654Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4732840Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4732960Z                 'obj_weakref': None
2022-11-23T01:30:19.4733183Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4733237Z             }
2022-11-23T01:30:19.4733299Z             
2022-11-23T01:30:19.4733365Z  - 
2022-11-23T01:30:19.4733487Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4733550Z             {
2022-11-23T01:30:19.4733692Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4733797Z                 'code': None,
2022-11-23T01:30:19.4733998Z                 'obj_weakref': <weakref at 0x7ff58fd53ab0; to 'Tensor' at 0x7ff58fe07f10>
2022-11-23T01:30:19.4734249Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4734312Z             }
2022-11-23T01:30:19.4734375Z             
2022-11-23T01:30:19.4734443Z  - 
2022-11-23T01:30:19.4734563Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4734627Z             {
2022-11-23T01:30:19.4734756Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4734860Z                 'code': None,
2022-11-23T01:30:19.4735073Z                 'obj_weakref': <weakref at 0x7ff58fdc8630; to 'Tensor' at 0x7ff58fe5abb0>
2022-11-23T01:30:19.4735325Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4735388Z             }
2022-11-23T01:30:19.4735454Z             
2022-11-23T01:30:19.4735521Z  - 
2022-11-23T01:30:19.4735638Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4735699Z             {
2022-11-23T01:30:19.4735833Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4736002Z                 'code': ['___check_obj_id(model, 140692657061120)'],
2022-11-23T01:30:19.4736119Z                 'obj_weakref': None
2022-11-23T01:30:19.4736348Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4736527Z             }
2022-11-23T01:30:19.4736577Z             
2022-11-23T01:30:19.4736645Z  - 
2022-11-23T01:30:19.4736766Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4736879Z             {
2022-11-23T01:30:19.4737019Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4737235Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4737355Z                 'obj_weakref': None
2022-11-23T01:30:19.4737564Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4737627Z             }
2022-11-23T01:30:19.4737689Z             
2022-11-23T01:30:19.4737757Z  - 
2022-11-23T01:30:19.4737890Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4737952Z             {
2022-11-23T01:30:19.4738071Z                 'guard_types': None,
2022-11-23T01:30:19.4738164Z                 'code': None,
2022-11-23T01:30:19.4738283Z                 'obj_weakref': None
2022-11-23T01:30:19.4738443Z                 'guarded_class': None
2022-11-23T01:30:19.4738508Z             }
2022-11-23T01:30:19.4738570Z             
2022-11-23T01:30:19.4738829Z [2022-11-23 01:22:47,996] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 45
2022-11-23T01:30:19.4739197Z [2022-11-23 01:22:49,432] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/ckt4qzvf5zltzjqaannk5teyxlbcvvdecgwogvf5hratq7oi6ujt.py
2022-11-23T01:30:19.4739458Z [2022-11-23 01:22:49,432] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 45
2022-11-23T01:30:19.4739464Z 
2022-11-23T01:30:19.4739544Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4739612Z import torch
2022-11-23T01:30:19.4739680Z import random
2022-11-23T01:30:19.4739794Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4739913Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4739918Z 
2022-11-23T01:30:19.4739997Z aten = torch.ops.aten
2022-11-23T01:30:19.4740127Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4740206Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4740226Z 
2022-11-23T01:30:19.4740230Z 
2022-11-23T01:30:19.4740349Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4740553Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4740672Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:30:19.4740774Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:30:19.4740872Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:30:19.4740966Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:30:19.4741056Z                        bool* __restrict__ out_ptr2,
2022-11-23T01:30:19.4741134Z                        bool* __restrict__ out_ptr3,
2022-11-23T01:30:19.4741224Z                        bool* __restrict__ out_ptr4,
2022-11-23T01:30:19.4741315Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:30:19.4741407Z                        bool* __restrict__ out_ptr6,
2022-11-23T01:30:19.4741501Z                        bool* __restrict__ out_ptr7,
2022-11-23T01:30:19.4741591Z                        bool* __restrict__ out_ptr8)
2022-11-23T01:30:19.4741654Z {
2022-11-23T01:30:19.4741738Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4741802Z     {
2022-11-23T01:30:19.4741880Z         #pragma omp for 
2022-11-23T01:30:19.4741967Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.4742032Z         {
2022-11-23T01:30:19.4742097Z             {
2022-11-23T01:30:19.4742163Z                 {
2022-11-23T01:30:19.4742242Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4742335Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.4742429Z                     auto tmp2 = tmp0 || tmp1;
2022-11-23T01:30:19.4742520Z                     auto tmp3 = tmp0 && tmp1;
2022-11-23T01:30:19.4742611Z                     auto tmp4 = tmp0 & tmp1;
2022-11-23T01:30:19.4742699Z                     auto tmp5 = tmp0 | tmp1;
2022-11-23T01:30:19.4742787Z                     auto tmp6 = tmp0 ^ tmp1;
2022-11-23T01:30:19.4742919Z                     auto tmp7 = tmp0 == 0;
2022-11-23T01:30:19.4743045Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.4743156Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:30:19.4743241Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:30:19.4743325Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:30:19.4743406Z                     out_ptr4[i0] = tmp6;
2022-11-23T01:30:19.4743489Z                     out_ptr5[i0] = tmp3;
2022-11-23T01:30:19.4743557Z                     out_ptr6[i0] = tmp2;
2022-11-23T01:30:19.4743640Z                     out_ptr7[i0] = tmp7;
2022-11-23T01:30:19.4743722Z                     out_ptr8[i0] = tmp1;
2022-11-23T01:30:19.4743787Z                 }
2022-11-23T01:30:19.4743855Z             }
2022-11-23T01:30:19.4743966Z         }
2022-11-23T01:30:19.4744028Z     }
2022-11-23T01:30:19.4744076Z }
2022-11-23T01:30:19.4744164Z ''')
2022-11-23T01:30:19.4744169Z 
2022-11-23T01:30:19.4744174Z 
2022-11-23T01:30:19.4744266Z async_compile.wait(globals())
2022-11-23T01:30:19.4744341Z del async_compile
2022-11-23T01:30:19.4744346Z 
2022-11-23T01:30:19.4744417Z def call(args):
2022-11-23T01:30:19.4744494Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4744568Z     args.clear()
2022-11-23T01:30:19.4744746Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4744930Z     buf1 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4745111Z     buf2 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4745292Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4745471Z     buf4 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4745652Z     buf5 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4745835Z     buf6 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4746015Z     buf7 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4746178Z     buf8 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4746532Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:30:19.4746602Z     del arg0_1
2022-11-23T01:30:19.4746671Z     del arg1_1
2022-11-23T01:30:19.4746791Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, )
2022-11-23T01:30:19.4746796Z 
2022-11-23T01:30:19.4746800Z 
2022-11-23T01:30:19.4746878Z if __name__ == "__main__":
2022-11-23T01:30:19.4746993Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4747121Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4747307Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4747478Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.4747591Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4747596Z 
2022-11-23T01:30:19.4747662Z ok (1.477s)
2022-11-23T01:30:19.4747973Z   test_both_scalars_cpu (__main__.CpuTests) ... [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4748288Z [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4748501Z [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4748750Z [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4749076Z [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4749394Z [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4749730Z [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4750049Z [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4750423Z [2022-11-23 01:22:49,437] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1694d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211> 
2022-11-23T01:30:19.4750544Z  1213           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4750636Z                2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.4750728Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4750816Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4750904Z                8 CALL_METHOD              2
2022-11-23T01:30:19.4750909Z 
2022-11-23T01:30:19.4751003Z 1214          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4751081Z               12 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.4751168Z               14 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4751256Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4751347Z               18 CALL_METHOD              2
2022-11-23T01:30:19.4751351Z 
2022-11-23T01:30:19.4751443Z 1215          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4751532Z               22 LOAD_METHOD              2 (sub)
2022-11-23T01:30:19.4751619Z               24 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4751694Z               26 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4751779Z               28 CALL_METHOD              2
2022-11-23T01:30:19.4751784Z 
2022-11-23T01:30:19.4751874Z 1216          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4751965Z               32 LOAD_METHOD              2 (sub)
2022-11-23T01:30:19.4752051Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4752136Z               36 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4752222Z               38 CALL_METHOD              2
2022-11-23T01:30:19.4752227Z 
2022-11-23T01:30:19.4752316Z 1217          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4752393Z               42 LOAD_METHOD              3 (mul)
2022-11-23T01:30:19.4752479Z               44 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4752564Z               46 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4752650Z               48 CALL_METHOD              2
2022-11-23T01:30:19.4752657Z 
2022-11-23T01:30:19.4752752Z 1218          50 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4752840Z               52 LOAD_METHOD              3 (mul)
2022-11-23T01:30:19.4752927Z               54 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4753012Z               56 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4753086Z               58 CALL_METHOD              2
2022-11-23T01:30:19.4753090Z 
2022-11-23T01:30:19.4753174Z 1212          60 BUILD_TUPLE              6
2022-11-23T01:30:19.4753250Z               62 RETURN_VALUE
2022-11-23T01:30:19.4753310Z  
2022-11-23T01:30:19.4753314Z 
2022-11-23T01:30:19.4753678Z [2022-11-23 01:22:49,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1213
2022-11-23T01:30:19.4754045Z [2022-11-23 01:22:49,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4754445Z [2022-11-23 01:22:49,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4754757Z [2022-11-23 01:22:49,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.add)]
2022-11-23T01:30:19.4755034Z [2022-11-23 01:22:49,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.add), ConstantVariable(int)]
2022-11-23T01:30:19.4755365Z [2022-11-23 01:22:49,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:30:19.4755677Z [2022-11-23 01:22:49,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1214
2022-11-23T01:30:19.4755919Z [2022-11-23 01:22:49,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.4756249Z [2022-11-23 01:22:49,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4756556Z [2022-11-23 01:22:49,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.add)]
2022-11-23T01:30:19.4756873Z [2022-11-23 01:22:49,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float)]
2022-11-23T01:30:19.4757231Z [2022-11-23 01:22:49,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:30:19.4757543Z [2022-11-23 01:22:49,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1215
2022-11-23T01:30:19.4757811Z [2022-11-23 01:22:49,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4758169Z [2022-11-23 01:22:49,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4758471Z [2022-11-23 01:22:49,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:30:19.4758797Z [2022-11-23 01:22:49,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int)]
2022-11-23T01:30:19.4759185Z [2022-11-23 01:22:49,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:30:19.4759496Z [2022-11-23 01:22:49,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1216
2022-11-23T01:30:19.4759795Z [2022-11-23 01:22:49,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4760181Z [2022-11-23 01:22:49,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4760509Z [2022-11-23 01:22:49,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:30:19.4760873Z [2022-11-23 01:22:49,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float)]
2022-11-23T01:30:19.4761289Z [2022-11-23 01:22:49,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:30:19.4761595Z [2022-11-23 01:22:49,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1217
2022-11-23T01:30:19.4761955Z [2022-11-23 01:22:49,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4762367Z [2022-11-23 01:22:49,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4762724Z [2022-11-23 01:22:49,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:30:19.4763116Z [2022-11-23 01:22:49,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int)]
2022-11-23T01:30:19.4763549Z [2022-11-23 01:22:49,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:30:19.4763887Z [2022-11-23 01:22:49,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1218
2022-11-23T01:30:19.4764237Z [2022-11-23 01:22:49,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4764676Z [2022-11-23 01:22:49,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4765060Z [2022-11-23 01:22:49,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:30:19.4765487Z [2022-11-23 01:22:49,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float)]
2022-11-23T01:30:19.4765959Z [2022-11-23 01:22:49,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:30:19.4766271Z [2022-11-23 01:22:49,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1212
2022-11-23T01:30:19.4766650Z [2022-11-23 01:22:49,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4766896Z [2022-11-23 01:22:49,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4767275Z [2022-11-23 01:22:49,480] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1694d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1211>
2022-11-23T01:30:19.4767516Z [2022-11-23 01:22:49,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4767750Z [2022-11-23 01:22:49,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4767990Z [2022-11-23 01:22:49,482] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4768238Z [2022-11-23 01:22:49,486] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4768425Z [2022-11-23 01:22:49,486] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4768563Z  __compiled_fn_47 <eval_with_key>.306 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4768660Z call_function, add, aten.add, (4, 3.3), {}
2022-11-23T01:30:19.4768789Z call_function, add_1, aten.add, (3.3, 4), {}
2022-11-23T01:30:19.4768886Z call_function, sub, aten.sub, (4, 3.3), {}
2022-11-23T01:30:19.4768982Z call_function, sub_1, aten.sub, (3.3, 4), {}
2022-11-23T01:30:19.4769064Z call_function, mul, aten.mul, (4, 3.3), {}
2022-11-23T01:30:19.4769160Z call_function, mul_1, aten.mul, (3.3, 4), {}
2022-11-23T01:30:19.4769285Z output, output, output, ((add, add_1, sub, sub_1, mul, mul_1),), {}
2022-11-23T01:30:19.4769291Z 
2022-11-23T01:30:19.4769614Z [2022-11-23 01:22:49,487] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4769707Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4769795Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4769912Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4770002Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4770074Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4770162Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4770237Z              12 RETURN_VALUE
2022-11-23T01:30:19.4770242Z 
2022-11-23T01:30:19.4770303Z  
2022-11-23T01:30:19.4770623Z [2022-11-23 01:22:49,487] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4770729Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_47)
2022-11-23T01:30:19.4770815Z               2 CALL_FUNCTION            0
2022-11-23T01:30:19.4770916Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4771003Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4771089Z               8 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4771169Z              10 BINARY_SUBSCR
2022-11-23T01:30:19.4771268Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4771354Z              14 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4771431Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.4771528Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4771602Z              20 LOAD_CONST               3 (2)
2022-11-23T01:30:19.4771677Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4771774Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4771861Z              26 LOAD_CONST               4 (3)
2022-11-23T01:30:19.4771934Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.4772030Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4772115Z              32 LOAD_CONST               5 (4)
2022-11-23T01:30:19.4772177Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.4772275Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4772364Z              38 LOAD_CONST               6 (5)
2022-11-23T01:30:19.4772439Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.4772525Z              42 BUILD_TUPLE              6
2022-11-23T01:30:19.4772599Z              44 RETURN_VALUE
2022-11-23T01:30:19.4772604Z 
2022-11-23T01:30:19.4772663Z  
2022-11-23T01:30:19.4772833Z [2022-11-23 01:22:49,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4772901Z  - 
2022-11-23T01:30:19.4773019Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4773083Z             {
2022-11-23T01:30:19.4773222Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4773407Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4773524Z                 'obj_weakref': None
2022-11-23T01:30:19.4773737Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4773799Z             }
2022-11-23T01:30:19.4773861Z             
2022-11-23T01:30:19.4773932Z  - 
2022-11-23T01:30:19.4774059Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:30:19.4774120Z             {
2022-11-23T01:30:19.4774289Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.4774461Z                 'code': ['___check_type_id(ex[0], 94571819095424)', 'ex[0] == 4'],
2022-11-23T01:30:19.4774578Z                 'obj_weakref': None
2022-11-23T01:30:19.4774799Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:19.4774862Z             }
2022-11-23T01:30:19.4774923Z             
2022-11-23T01:30:19.4774990Z  - 
2022-11-23T01:30:19.4775118Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:19.4775169Z             {
2022-11-23T01:30:19.4775308Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.4775494Z                 'code': ['___check_type_id(ex[1], 94571819099168)', 'ex[1] == 3.3'],
2022-11-23T01:30:19.4775610Z                 'obj_weakref': None
2022-11-23T01:30:19.4775897Z                 'guarded_class': <weakref at 0x7ff64e203510; to 'type' at 0x560337aee420 (float)>
2022-11-23T01:30:19.4775961Z             }
2022-11-23T01:30:19.4776024Z             
2022-11-23T01:30:19.4776082Z  - 
2022-11-23T01:30:19.4776211Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4776274Z             {
2022-11-23T01:30:19.4776530Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4776701Z                 'code': ['___check_obj_id(model, 140692657051040)'],
2022-11-23T01:30:19.4776818Z                 'obj_weakref': None
2022-11-23T01:30:19.4777049Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4777099Z             }
2022-11-23T01:30:19.4777162Z             
2022-11-23T01:30:19.4777231Z  - 
2022-11-23T01:30:19.4777351Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4777414Z             {
2022-11-23T01:30:19.4777549Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4777767Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4777870Z                 'obj_weakref': None
2022-11-23T01:30:19.4778088Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4778151Z             }
2022-11-23T01:30:19.4778215Z             
2022-11-23T01:30:19.4778283Z  - 
2022-11-23T01:30:19.4778413Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4778475Z             {
2022-11-23T01:30:19.4778578Z                 'guard_types': None,
2022-11-23T01:30:19.4778684Z                 'code': None,
2022-11-23T01:30:19.4778801Z                 'obj_weakref': None
2022-11-23T01:30:19.4778921Z                 'guarded_class': None
2022-11-23T01:30:19.4778982Z             }
2022-11-23T01:30:19.4779043Z             
2022-11-23T01:30:19.4779297Z [2022-11-23 01:22:49,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 46
2022-11-23T01:30:19.4779657Z [2022-11-23 01:22:50,912] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dc/cdcffw6ibuvqyqttn5z6fbona4tlfzxg344nzv5rulpzccbtg335.py
2022-11-23T01:30:19.4779919Z [2022-11-23 01:22:50,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 46
2022-11-23T01:30:19.4779925Z 
2022-11-23T01:30:19.4780017Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4780087Z import torch
2022-11-23T01:30:19.4780156Z import random
2022-11-23T01:30:19.4780271Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4780389Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4780395Z 
2022-11-23T01:30:19.4780470Z aten = torch.ops.aten
2022-11-23T01:30:19.4780591Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4780683Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4780688Z 
2022-11-23T01:30:19.4780694Z 
2022-11-23T01:30:19.4780827Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4781031Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4781201Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4781299Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.4781391Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.4781483Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.4781563Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:19.4781655Z                        float* __restrict__ out_ptr5)
2022-11-23T01:30:19.4781716Z {
2022-11-23T01:30:19.4781777Z     {
2022-11-23T01:30:19.4781840Z         {
2022-11-23T01:30:19.4781940Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:30:19.4782042Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:30:19.4782114Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4782193Z             out_ptr0[0] = tmp2;
2022-11-23T01:30:19.4782290Z         }
2022-11-23T01:30:19.4782353Z     }
2022-11-23T01:30:19.4782411Z     {
2022-11-23T01:30:19.4782473Z         {
2022-11-23T01:30:19.4782563Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:30:19.4782661Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:30:19.4782745Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4782822Z             out_ptr1[0] = tmp2;
2022-11-23T01:30:19.4782884Z         }
2022-11-23T01:30:19.4782944Z     }
2022-11-23T01:30:19.4783003Z     {
2022-11-23T01:30:19.4783052Z         {
2022-11-23T01:30:19.4783147Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:30:19.4783246Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:30:19.4783370Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.4783447Z             out_ptr2[0] = tmp2;
2022-11-23T01:30:19.4783508Z         }
2022-11-23T01:30:19.4783567Z     }
2022-11-23T01:30:19.4783615Z     {
2022-11-23T01:30:19.4783675Z         {
2022-11-23T01:30:19.4783775Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:30:19.4783870Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:30:19.4783992Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.4784071Z             out_ptr3[0] = tmp2;
2022-11-23T01:30:19.4784122Z         }
2022-11-23T01:30:19.4784189Z     }
2022-11-23T01:30:19.4784250Z     {
2022-11-23T01:30:19.4784314Z         {
2022-11-23T01:30:19.4784412Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:30:19.4784512Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:30:19.4784596Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.4784660Z             out_ptr4[0] = tmp2;
2022-11-23T01:30:19.4784724Z         }
2022-11-23T01:30:19.4784786Z     }
2022-11-23T01:30:19.4784848Z     {
2022-11-23T01:30:19.4784911Z         {
2022-11-23T01:30:19.4785009Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:30:19.4785106Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:30:19.4785177Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.4785258Z             out_ptr5[0] = tmp2;
2022-11-23T01:30:19.4785322Z         }
2022-11-23T01:30:19.4785384Z     }
2022-11-23T01:30:19.4785447Z }
2022-11-23T01:30:19.4785527Z ''')
2022-11-23T01:30:19.4785533Z 
2022-11-23T01:30:19.4785537Z 
2022-11-23T01:30:19.4785627Z async_compile.wait(globals())
2022-11-23T01:30:19.4785688Z del async_compile
2022-11-23T01:30:19.4785693Z 
2022-11-23T01:30:19.4785766Z def call(args):
2022-11-23T01:30:19.4785953Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4786136Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4786314Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4786490Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4786664Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4786824Z     buf5 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4787093Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:30:19.4787200Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:30:19.4787205Z 
2022-11-23T01:30:19.4787209Z 
2022-11-23T01:30:19.4787287Z if __name__ == "__main__":
2022-11-23T01:30:19.4787403Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4787527Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4787628Z     print_performance(lambda: call([]))
2022-11-23T01:30:19.4787633Z 
2022-11-23T01:30:19.4787700Z ok (1.480s)
2022-11-23T01:30:19.4788003Z   test_cat_cpu (__main__.CpuTests) ... [2022-11-23 01:22:50,917] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4788305Z [2022-11-23 01:22:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4788555Z [2022-11-23 01:22:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4788812Z [2022-11-23 01:22:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4789090Z [2022-11-23 01:22:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4789412Z [2022-11-23 01:22:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4789760Z [2022-11-23 01:22:50,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4790085Z [2022-11-23 01:22:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4790464Z [2022-11-23 01:22:50,918] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f5840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553> 
2022-11-23T01:30:19.4790557Z  2554           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4790650Z                2 LOAD_CONST               1 (2)
2022-11-23T01:30:19.4790719Z                4 BINARY_MULTIPLY
2022-11-23T01:30:19.4790814Z                6 STORE_FAST               1 (tmp)
2022-11-23T01:30:19.4790819Z 
2022-11-23T01:30:19.4790914Z 2556           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4791007Z               10 LOAD_METHOD              1 (cat)
2022-11-23T01:30:19.4791093Z               12 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4791182Z               14 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4791276Z               16 LOAD_CONST               0 (None)
2022-11-23T01:30:19.4791365Z               18 LOAD_CONST               0 (None)
2022-11-23T01:30:19.4791443Z               20 BUILD_SLICE              2
2022-11-23T01:30:19.4791530Z               22 LOAD_CONST               0 (None)
2022-11-23T01:30:19.4791617Z               24 LOAD_CONST               2 (4)
2022-11-23T01:30:19.4791703Z               26 BUILD_SLICE              2
2022-11-23T01:30:19.4791788Z               28 BUILD_TUPLE              2
2022-11-23T01:30:19.4791864Z               30 BINARY_SUBSCR
2022-11-23T01:30:19.4791952Z               32 LOAD_CONST               3 (1)
2022-11-23T01:30:19.4792012Z               34 BINARY_ADD
2022-11-23T01:30:19.4792099Z               36 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4792184Z               38 LOAD_CONST               1 (2)
2022-11-23T01:30:19.4792254Z               40 BINARY_ADD
2022-11-23T01:30:19.4792338Z               42 BUILD_TUPLE              3
2022-11-23T01:30:19.4792474Z               44 LOAD_CONST               4 (-1)
2022-11-23T01:30:19.4792558Z               46 CALL_METHOD              2
2022-11-23T01:30:19.4792565Z 
2022-11-23T01:30:19.4792645Z 2557          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4792733Z               50 LOAD_METHOD              1 (cat)
2022-11-23T01:30:19.4792865Z               52 LOAD_FAST                1 (tmp)
2022-11-23T01:30:19.4792955Z               54 LOAD_FAST                1 (tmp)
2022-11-23T01:30:19.4793041Z               56 BUILD_TUPLE              2
2022-11-23T01:30:19.4793127Z               58 LOAD_CONST               5 (0)
2022-11-23T01:30:19.4793214Z               60 CALL_METHOD              2
2022-11-23T01:30:19.4793218Z 
2022-11-23T01:30:19.4793308Z 2558          62 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4793384Z               64 LOAD_METHOD              1 (cat)
2022-11-23T01:30:19.4793472Z               66 LOAD_FAST                1 (tmp)
2022-11-23T01:30:19.4793558Z               68 LOAD_FAST                1 (tmp)
2022-11-23T01:30:19.4793656Z               70 LOAD_METHOD              2 (double)
2022-11-23T01:30:19.4793772Z               72 CALL_METHOD              0
2022-11-23T01:30:19.4793937Z               74 BUILD_TUPLE              2
2022-11-23T01:30:19.4794027Z               76 LOAD_CONST               5 (0)
2022-11-23T01:30:19.4794103Z               78 CALL_METHOD              2
2022-11-23T01:30:19.4794108Z 
2022-11-23T01:30:19.4794197Z 2555          80 BUILD_TUPLE              3
2022-11-23T01:30:19.4794272Z               82 RETURN_VALUE
2022-11-23T01:30:19.4794332Z  
2022-11-23T01:30:19.4794336Z 
2022-11-23T01:30:19.4794660Z [2022-11-23 01:22:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2554
2022-11-23T01:30:19.4794872Z [2022-11-23 01:22:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.4795111Z [2022-11-23 01:22:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.4795401Z [2022-11-23 01:22:50,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4795645Z [2022-11-23 01:22:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:30:19.4795946Z [2022-11-23 01:22:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2556
2022-11-23T01:30:19.4796164Z [2022-11-23 01:22:50,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4796530Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4796847Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4797191Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4797572Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4797994Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.4798460Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:19.4798860Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:19.4799347Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.4799831Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:19.4800258Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:19.4800668Z [2022-11-23 01:22:50,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:19.4801069Z [2022-11-23 01:22:50,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4801485Z [2022-11-23 01:22:50,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4801841Z [2022-11-23 01:22:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4802242Z [2022-11-23 01:22:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4802685Z [2022-11-23 01:22:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4803095Z [2022-11-23 01:22:50,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4803439Z [2022-11-23 01:22:50,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TupleVariable()]
2022-11-23T01:30:19.4803824Z [2022-11-23 01:22:50,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4804136Z [2022-11-23 01:22:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2557
2022-11-23T01:30:19.4804382Z [2022-11-23 01:22:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.4804773Z [2022-11-23 01:22:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4805122Z [2022-11-23 01:22:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4805493Z [2022-11-23 01:22:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4805895Z [2022-11-23 01:22:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4806296Z [2022-11-23 01:22:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TupleVariable()]
2022-11-23T01:30:19.4806711Z [2022-11-23 01:22:50,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4807011Z [2022-11-23 01:22:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2558
2022-11-23T01:30:19.4807284Z [2022-11-23 01:22:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4807704Z [2022-11-23 01:22:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4808110Z [2022-11-23 01:22:50,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4808516Z [2022-11-23 01:22:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4808954Z [2022-11-23 01:22:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4809429Z [2022-11-23 01:22:50,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), GetAttrVariable(TensorVariable(), double)]
2022-11-23T01:30:19.4809861Z [2022-11-23 01:22:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4810254Z [2022-11-23 01:22:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TupleVariable()]
2022-11-23T01:30:19.4810696Z [2022-11-23 01:22:50,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4811010Z [2022-11-23 01:22:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2555
2022-11-23T01:30:19.4811312Z [2022-11-23 01:22:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4811558Z [2022-11-23 01:22:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4811936Z [2022-11-23 01:22:50,929] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f5840, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2553>
2022-11-23T01:30:19.4812169Z [2022-11-23 01:22:50,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4812402Z [2022-11-23 01:22:50,929] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4812654Z [2022-11-23 01:22:50,931] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4812899Z [2022-11-23 01:22:50,937] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4813089Z [2022-11-23 01:22:50,937] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4813250Z  __compiled_fn_48 <eval_with_key>.312 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4813340Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4813512Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:30:19.4813767Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 4, None))), {}
2022-11-23T01:30:19.4813931Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:30:19.4814100Z call_function, add_1, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:30:19.4814345Z call_function, cat, <built-in method cat of type object at 0x7ff5d7c59c60>, ((ex_0_, add, add_1), -1), {}
2022-11-23T01:30:19.4814577Z call_function, cat_1, <built-in method cat of type object at 0x7ff5d7c59c60>, ((mul, mul), 0), {}
2022-11-23T01:30:19.4814701Z call_method, double, double, (mul,), {}
2022-11-23T01:30:19.4814940Z call_function, cat_2, <built-in method cat of type object at 0x7ff5d7c59c60>, ((mul, double), 0), {}
2022-11-23T01:30:19.4815049Z output, output, output, ((cat, cat_1, cat_2),), {}
2022-11-23T01:30:19.4815054Z 
2022-11-23T01:30:19.4815381Z [2022-11-23 01:22:50,938] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4815461Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4815549Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4815635Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4815725Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4815809Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4815896Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4815970Z              12 RETURN_VALUE
2022-11-23T01:30:19.4815977Z 
2022-11-23T01:30:19.4816036Z  
2022-11-23T01:30:19.4816345Z [2022-11-23 01:22:50,938] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4816569Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_48)
2022-11-23T01:30:19.4816661Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4816750Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4816828Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4816914Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4817016Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4817105Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4817192Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4817269Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.4817370Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4817460Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4817535Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4817638Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4817713Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.4817788Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.4817874Z              30 BUILD_TUPLE              3
2022-11-23T01:30:19.4817948Z              32 RETURN_VALUE
2022-11-23T01:30:19.4817954Z 
2022-11-23T01:30:19.4818015Z  
2022-11-23T01:30:19.4818199Z [2022-11-23 01:22:50,939] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4818268Z  - 
2022-11-23T01:30:19.4818386Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4818438Z             {
2022-11-23T01:30:19.4818575Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4818762Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4818881Z                 'obj_weakref': None
2022-11-23T01:30:19.4819109Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4819172Z             }
2022-11-23T01:30:19.4819281Z             
2022-11-23T01:30:19.4819339Z  - 
2022-11-23T01:30:19.4819462Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4819525Z             {
2022-11-23T01:30:19.4819669Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4819774Z                 'code': None,
2022-11-23T01:30:19.4819988Z                 'obj_weakref': <weakref at 0x7ff58fdf2110; to 'Tensor' at 0x7ff58ff153f0>
2022-11-23T01:30:19.4820245Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4820296Z             }
2022-11-23T01:30:19.4820358Z             
2022-11-23T01:30:19.4820426Z  - 
2022-11-23T01:30:19.4820555Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4820618Z             {
2022-11-23T01:30:19.4820797Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4820967Z                 'code': ['___check_obj_id(model, 140692657046576)'],
2022-11-23T01:30:19.4821075Z                 'obj_weakref': None
2022-11-23T01:30:19.4821306Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4821369Z             }
2022-11-23T01:30:19.4821430Z             
2022-11-23T01:30:19.4821497Z  - 
2022-11-23T01:30:19.4821617Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4821667Z             {
2022-11-23T01:30:19.4821800Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4822015Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4822131Z                 'obj_weakref': None
2022-11-23T01:30:19.4822349Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4822411Z             }
2022-11-23T01:30:19.4822474Z             
2022-11-23T01:30:19.4822541Z  - 
2022-11-23T01:30:19.4822661Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4822722Z             {
2022-11-23T01:30:19.4822843Z                 'guard_types': None,
2022-11-23T01:30:19.4822949Z                 'code': None,
2022-11-23T01:30:19.4823064Z                 'obj_weakref': None
2022-11-23T01:30:19.4823183Z                 'guarded_class': None
2022-11-23T01:30:19.4823233Z             }
2022-11-23T01:30:19.4823295Z             
2022-11-23T01:30:19.4823552Z [2022-11-23 01:22:50,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 47
2022-11-23T01:30:19.4823923Z [2022-11-23 01:22:52,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ms/cmsujvnj5zjit5muzjogxcfxddjmoxqix2khowjrtmltdhew6tsj.py
2022-11-23T01:30:19.4824183Z [2022-11-23 01:22:52,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 47
2022-11-23T01:30:19.4824192Z 
2022-11-23T01:30:19.4824284Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4824355Z import torch
2022-11-23T01:30:19.4824422Z import random
2022-11-23T01:30:19.4824525Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4824646Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4824651Z 
2022-11-23T01:30:19.4824727Z aten = torch.ops.aten
2022-11-23T01:30:19.4824860Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4824950Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4824955Z 
2022-11-23T01:30:19.4824959Z 
2022-11-23T01:30:19.4825089Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4825292Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4825413Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4825501Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4825595Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.4825691Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.4825781Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.4825902Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:19.4826000Z                        double* __restrict__ out_ptr5,
2022-11-23T01:30:19.4826093Z                        double* __restrict__ out_ptr6)
2022-11-23T01:30:19.4826152Z {
2022-11-23T01:30:19.4826237Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4826297Z     {
2022-11-23T01:30:19.4826373Z         #pragma omp for 
2022-11-23T01:30:19.4826453Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.4826515Z         {
2022-11-23T01:30:19.4826595Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.4826646Z             {
2022-11-23T01:30:19.4826803Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (16*i0));
2022-11-23T01:30:19.4826938Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.4827062Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4827164Z                 tmp0.store(out_ptr0 + (8*i1) + (36*i0));
2022-11-23T01:30:19.4827266Z                 tmp2.store(out_ptr1 + (8*i1) + (36*i0));
2022-11-23T01:30:19.4827328Z             }
2022-11-23T01:30:19.4827419Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.4827491Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:30:19.4827553Z             {
2022-11-23T01:30:19.4827648Z                 auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:30:19.4827745Z                 auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.4827830Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4827919Z                 out_ptr0[i1 + (36*i0)] = tmp0;
2022-11-23T01:30:19.4828007Z                 out_ptr1[i1 + (36*i0)] = tmp2;
2022-11-23T01:30:19.4828056Z             }
2022-11-23T01:30:19.4828117Z         }
2022-11-23T01:30:19.4828193Z         #pragma omp for 
2022-11-23T01:30:19.4828275Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.4828337Z         {
2022-11-23T01:30:19.4828416Z             #pragma GCC ivdep
2022-11-23T01:30:19.4828499Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.4828548Z             {
2022-11-23T01:30:19.4828612Z                 {
2022-11-23T01:30:19.4828678Z                     {
2022-11-23T01:30:19.4828780Z                         auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:30:19.4828883Z                         auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.4828974Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4829067Z                         out_ptr2[i1 + (36*i0)] = tmp2;
2022-11-23T01:30:19.4829121Z                     }
2022-11-23T01:30:19.4829183Z                 }
2022-11-23T01:30:19.4829245Z             }
2022-11-23T01:30:19.4829307Z         }
2022-11-23T01:30:19.4829380Z         #pragma omp for 
2022-11-23T01:30:19.4829461Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.4829513Z         {
2022-11-23T01:30:19.4829573Z             {
2022-11-23T01:30:19.4829635Z                 {
2022-11-23T01:30:19.4829726Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4829830Z                     auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.4829921Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.4830029Z                     auto tmp3 = static_cast<double>(tmp2);
2022-11-23T01:30:19.4830100Z                     out_ptr3[i0] = tmp2;
2022-11-23T01:30:19.4830186Z                     out_ptr4[i0] = tmp2;
2022-11-23T01:30:19.4830269Z                     out_ptr5[i0] = tmp3;
2022-11-23T01:30:19.4830354Z                     out_ptr6[i0] = tmp3;
2022-11-23T01:30:19.4830421Z                 }
2022-11-23T01:30:19.4830485Z             }
2022-11-23T01:30:19.4830549Z         }
2022-11-23T01:30:19.4830597Z     }
2022-11-23T01:30:19.4830658Z }
2022-11-23T01:30:19.4830738Z ''')
2022-11-23T01:30:19.4830743Z 
2022-11-23T01:30:19.4830747Z 
2022-11-23T01:30:19.4830841Z async_compile.wait(globals())
2022-11-23T01:30:19.4830915Z del async_compile
2022-11-23T01:30:19.4830920Z 
2022-11-23T01:30:19.4830991Z def call(args):
2022-11-23T01:30:19.4831090Z     arg0_1, = args
2022-11-23T01:30:19.4831152Z     args.clear()
2022-11-23T01:30:19.4831355Z     buf3 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4831456Z     buf0 = as_strided(buf3, (8, 16), (36, 1))  # alias
2022-11-23T01:30:19.4831557Z     buf2 = as_strided(buf3, (8, 16), (36, 1), 20)  # alias
2022-11-23T01:30:19.4831659Z     buf1 = as_strided(buf3, (8, 4), (36, 1), 16)  # alias
2022-11-23T01:30:19.4831858Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4831959Z     buf4 = as_strided(buf6, (8, 16), (16, 1))  # alias
2022-11-23T01:30:19.4832062Z     buf5 = as_strided(buf6, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:30:19.4832246Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:19.4832374Z     buf7 = as_strided(buf9, (8, 16), (16, 1))  # alias
2022-11-23T01:30:19.4832477Z     buf8 = as_strided(buf9, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:30:19.4832762Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:30:19.4832834Z     del arg0_1
2022-11-23T01:30:19.4832918Z     return (buf3, buf6, buf9, )
2022-11-23T01:30:19.4832922Z 
2022-11-23T01:30:19.4832927Z 
2022-11-23T01:30:19.4833006Z if __name__ == "__main__":
2022-11-23T01:30:19.4833121Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4833231Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4833432Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4833542Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4833549Z 
2022-11-23T01:30:19.4833619Z ok (1.538s)
2022-11-23T01:30:19.4834036Z   test_cat_extern_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:22:52,506] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4834360Z [2022-11-23 01:22:52,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4834579Z [2022-11-23 01:22:52,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4834834Z [2022-11-23 01:22:52,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4835110Z [2022-11-23 01:22:52,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4835423Z [2022-11-23 01:22:52,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4835775Z [2022-11-23 01:22:52,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4836102Z [2022-11-23 01:22:52,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4836485Z [2022-11-23 01:22:52,507] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f5b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2580> 
2022-11-23T01:30:19.4836582Z  2581           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4836675Z                2 LOAD_METHOD              1 (mm)
2022-11-23T01:30:19.4836768Z                4 LOAD_FAST                1 (x2)
2022-11-23T01:30:19.4836857Z                6 LOAD_FAST                2 (x3)
2022-11-23T01:30:19.4836947Z                8 CALL_METHOD              2
2022-11-23T01:30:19.4837026Z               10 STORE_FAST               4 (x)
2022-11-23T01:30:19.4837035Z 
2022-11-23T01:30:19.4837130Z 2582          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4837275Z               14 LOAD_METHOD              2 (narrow)
2022-11-23T01:30:19.4837365Z               16 LOAD_FAST                4 (x)
2022-11-23T01:30:19.4837453Z               18 LOAD_CONST               1 (1)
2022-11-23T01:30:19.4837538Z               20 LOAD_CONST               2 (0)
2022-11-23T01:30:19.4837630Z               22 LOAD_CONST               3 (100)
2022-11-23T01:30:19.4837705Z               24 CALL_METHOD              4
2022-11-23T01:30:19.4837791Z               26 STORE_FAST               5 (s)
2022-11-23T01:30:19.4837796Z 
2022-11-23T01:30:19.4837887Z 2583          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4837976Z               30 LOAD_METHOD              1 (mm)
2022-11-23T01:30:19.4838064Z               32 LOAD_FAST                5 (s)
2022-11-23T01:30:19.4838152Z               34 LOAD_FAST                3 (x4)
2022-11-23T01:30:19.4838269Z               36 CALL_METHOD              2
2022-11-23T01:30:19.4838355Z               38 STORE_FAST               4 (x)
2022-11-23T01:30:19.4838360Z 
2022-11-23T01:30:19.4838441Z 2584          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4838531Z               42 LOAD_METHOD              3 (cat)
2022-11-23T01:30:19.4838617Z               44 LOAD_FAST                4 (x)
2022-11-23T01:30:19.4838704Z               46 LOAD_FAST                0 (x1)
2022-11-23T01:30:19.4838792Z               48 BUILD_TUPLE              2
2022-11-23T01:30:19.4838877Z               50 LOAD_CONST               1 (1)
2022-11-23T01:30:19.4838965Z               52 CALL_METHOD              2
2022-11-23T01:30:19.4839041Z               54 STORE_FAST               6 (c)
2022-11-23T01:30:19.4839058Z 
2022-11-23T01:30:19.4839129Z 2585          56 LOAD_FAST                6 (c)
2022-11-23T01:30:19.4839214Z               58 BUILD_TUPLE              1
2022-11-23T01:30:19.4839288Z               60 RETURN_VALUE
2022-11-23T01:30:19.4839352Z  
2022-11-23T01:30:19.4839357Z 
2022-11-23T01:30:19.4839678Z [2022-11-23 01:22:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2581
2022-11-23T01:30:19.4839899Z [2022-11-23 01:22:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4840257Z [2022-11-23 01:22:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4840571Z [2022-11-23 01:22:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4840896Z [2022-11-23 01:22:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x3 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4841270Z [2022-11-23 01:22:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4841508Z [2022-11-23 01:22:52,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.4841820Z [2022-11-23 01:22:52,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2582
2022-11-23T01:30:19.4842036Z [2022-11-23 01:22:52,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4842399Z [2022-11-23 01:22:52,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4842719Z [2022-11-23 01:22:52,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method narrow of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4843067Z [2022-11-23 01:22:52,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method narrow of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4843477Z [2022-11-23 01:22:52,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method narrow of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4843906Z [2022-11-23 01:22:52,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 100 [TorchVariable(<built-in method narrow of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4844371Z [2022-11-23 01:22:52,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method narrow of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4844608Z [2022-11-23 01:22:52,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST s [TensorVariable()]
2022-11-23T01:30:19.4844948Z [2022-11-23 01:22:52,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2583
2022-11-23T01:30:19.4845153Z [2022-11-23 01:22:52,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4845509Z [2022-11-23 01:22:52,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4845819Z [2022-11-23 01:22:52,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST s [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4846158Z [2022-11-23 01:22:52,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x4 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4846531Z [2022-11-23 01:22:52,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4846772Z [2022-11-23 01:22:52,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.4847083Z [2022-11-23 01:22:52,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2584
2022-11-23T01:30:19.4847298Z [2022-11-23 01:22:52,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4847655Z [2022-11-23 01:22:52,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4847969Z [2022-11-23 01:22:52,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4848311Z [2022-11-23 01:22:52,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4848673Z [2022-11-23 01:22:52,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4849013Z [2022-11-23 01:22:52,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TupleVariable()]
2022-11-23T01:30:19.4849393Z [2022-11-23 01:22:52,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7ff5d7c59c60>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4849628Z [2022-11-23 01:22:52,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:30:19.4849939Z [2022-11-23 01:22:52,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2585
2022-11-23T01:30:19.4850176Z [2022-11-23 01:22:52,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:30:19.4850416Z [2022-11-23 01:22:52,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.4850659Z [2022-11-23 01:22:52,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4851038Z [2022-11-23 01:22:52,513] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f5b00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2580>
2022-11-23T01:30:19.4851280Z [2022-11-23 01:22:52,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4851511Z [2022-11-23 01:22:52,513] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4851783Z [2022-11-23 01:22:52,515] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4852031Z [2022-11-23 01:22:52,519] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4852217Z [2022-11-23 01:22:52,519] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4852348Z  __compiled_fn_49 <eval_with_key>.318 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4852436Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4852522Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4852604Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.4852686Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:19.4852899Z call_function, mm, <built-in method mm of type object at 0x7ff5d7c59c60>, (ex_1_, ex_2_), {}
2022-11-23T01:30:19.4853137Z call_function, narrow, <built-in method narrow of type object at 0x7ff5d7c59c60>, (mm, 1, 0, 100), {}
2022-11-23T01:30:19.4853365Z call_function, mm_1, <built-in method mm of type object at 0x7ff5d7c59c60>, (narrow, ex_3_), {}
2022-11-23T01:30:19.4853603Z call_function, cat, <built-in method cat of type object at 0x7ff5d7c59c60>, ((mm_1, ex_0_), 1), {}
2022-11-23T01:30:19.4853697Z output, output, output, ((cat,),), {}
2022-11-23T01:30:19.4853703Z 
2022-11-23T01:30:19.4854029Z [2022-11-23 01:22:52,519] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4854122Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4854211Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4854286Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4854376Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4854460Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4854548Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4854626Z              12 RETURN_VALUE
2022-11-23T01:30:19.4854633Z 
2022-11-23T01:30:19.4854694Z  
2022-11-23T01:30:19.4855017Z [2022-11-23 01:22:52,520] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4855123Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_49)
2022-11-23T01:30:19.4855201Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4855287Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4855363Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4855448Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4855533Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4855605Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4855690Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4855765Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.4855837Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.4855922Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4856009Z              22 LOAD_CONST               4 (3)
2022-11-23T01:30:19.4856081Z              24 BINARY_SUBSCR
2022-11-23T01:30:19.4856203Z              26 CALL_FUNCTION            4
2022-11-23T01:30:19.4856308Z              28 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4856397Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4856580Z              32 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4856657Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.4856744Z              36 BUILD_TUPLE              1
2022-11-23T01:30:19.4856817Z              38 RETURN_VALUE
2022-11-23T01:30:19.4856822Z 
2022-11-23T01:30:19.4856881Z  
2022-11-23T01:30:19.4857066Z [2022-11-23 01:22:52,520] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4857122Z  - 
2022-11-23T01:30:19.4857240Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4857303Z             {
2022-11-23T01:30:19.4857443Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4857681Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:19.4857800Z                 'obj_weakref': None
2022-11-23T01:30:19.4858026Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4858078Z             }
2022-11-23T01:30:19.4858140Z             
2022-11-23T01:30:19.4858209Z  - 
2022-11-23T01:30:19.4858333Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4858397Z             {
2022-11-23T01:30:19.4858539Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4858644Z                 'code': None,
2022-11-23T01:30:19.4858848Z                 'obj_weakref': <weakref at 0x7ff58fdf1a30; to 'Tensor' at 0x7ff58fe3d300>
2022-11-23T01:30:19.4859100Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4859165Z             }
2022-11-23T01:30:19.4859231Z             
2022-11-23T01:30:19.4859299Z  - 
2022-11-23T01:30:19.4859423Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4859486Z             {
2022-11-23T01:30:19.4859617Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4859723Z                 'code': None,
2022-11-23T01:30:19.4859932Z                 'obj_weakref': <weakref at 0x7ff58fdcb240; to 'Tensor' at 0x7ff58fd51580>
2022-11-23T01:30:19.4860185Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4860249Z             }
2022-11-23T01:30:19.4860313Z             
2022-11-23T01:30:19.4860379Z  - 
2022-11-23T01:30:19.4860489Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.4860549Z             {
2022-11-23T01:30:19.4860688Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4860793Z                 'code': None,
2022-11-23T01:30:19.4861000Z                 'obj_weakref': <weakref at 0x7ff58fc14630; to 'Tensor' at 0x7ff58fd53830>
2022-11-23T01:30:19.4861250Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4861312Z             }
2022-11-23T01:30:19.4861364Z             
2022-11-23T01:30:19.4861431Z  - 
2022-11-23T01:30:19.4861553Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:19.4861614Z             {
2022-11-23T01:30:19.4861753Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4861856Z                 'code': None,
2022-11-23T01:30:19.4862064Z                 'obj_weakref': <weakref at 0x7ff58fc16610; to 'Tensor' at 0x7ff58fd53420>
2022-11-23T01:30:19.4862300Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4862362Z             }
2022-11-23T01:30:19.4862422Z             
2022-11-23T01:30:19.4862488Z  - 
2022-11-23T01:30:19.4862620Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4862681Z             {
2022-11-23T01:30:19.4862815Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4862972Z                 'code': ['___check_obj_id(model, 140692658622032)'],
2022-11-23T01:30:19.4863126Z                 'obj_weakref': None
2022-11-23T01:30:19.4863356Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4863419Z             }
2022-11-23T01:30:19.4863482Z             
2022-11-23T01:30:19.4863549Z  - 
2022-11-23T01:30:19.4863668Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4863717Z             {
2022-11-23T01:30:19.4863848Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4864065Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4864180Z                 'obj_weakref': None
2022-11-23T01:30:19.4864396Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4864458Z             }
2022-11-23T01:30:19.4864551Z             
2022-11-23T01:30:19.4864607Z  - 
2022-11-23T01:30:19.4864736Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4864799Z             {
2022-11-23T01:30:19.4864920Z                 'guard_types': None,
2022-11-23T01:30:19.4865026Z                 'code': None,
2022-11-23T01:30:19.4865142Z                 'obj_weakref': None
2022-11-23T01:30:19.4865262Z                 'guarded_class': None
2022-11-23T01:30:19.4865312Z             }
2022-11-23T01:30:19.4865374Z             
2022-11-23T01:30:19.4865634Z [2022-11-23 01:22:52,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 48
2022-11-23T01:30:19.4866001Z [2022-11-23 01:22:53,981] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ol/col6d7dkofvh2czipnksq3pgt4ytqa7sve5alg5usmxokzrjlkn2.py
2022-11-23T01:30:19.4866262Z [2022-11-23 01:22:53,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 48
2022-11-23T01:30:19.4866269Z 
2022-11-23T01:30:19.4866361Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4866428Z import torch
2022-11-23T01:30:19.4866495Z import random
2022-11-23T01:30:19.4866599Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4866719Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4866724Z 
2022-11-23T01:30:19.4866800Z aten = torch.ops.aten
2022-11-23T01:30:19.4866932Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4867022Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4867028Z 
2022-11-23T01:30:19.4867032Z 
2022-11-23T01:30:19.4867164Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4867366Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4867484Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4867571Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4867630Z {
2022-11-23T01:30:19.4867727Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4867789Z     {
2022-11-23T01:30:19.4867866Z         #pragma omp for 
2022-11-23T01:30:19.4867947Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:19.4868011Z         {
2022-11-23T01:30:19.4868083Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:30:19.4868144Z             {
2022-11-23T01:30:19.4868298Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (256*i0));
2022-11-23T01:30:19.4868399Z                 tmp0.store(out_ptr0 + (8*i1) + (512*i0));
2022-11-23T01:30:19.4868461Z             }
2022-11-23T01:30:19.4868554Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.4868641Z             for(long i1=256; i1<256; i1+=1)
2022-11-23T01:30:19.4868691Z             {
2022-11-23T01:30:19.4868787Z                 auto tmp0 = in_ptr0[i1 + (256*i0)];
2022-11-23T01:30:19.4868876Z                 out_ptr0[i1 + (512*i0)] = tmp0;
2022-11-23T01:30:19.4868937Z             }
2022-11-23T01:30:19.4869001Z         }
2022-11-23T01:30:19.4869061Z     }
2022-11-23T01:30:19.4869119Z }
2022-11-23T01:30:19.4869183Z ''')
2022-11-23T01:30:19.4869188Z 
2022-11-23T01:30:19.4869193Z 
2022-11-23T01:30:19.4869313Z async_compile.wait(globals())
2022-11-23T01:30:19.4869387Z del async_compile
2022-11-23T01:30:19.4869392Z 
2022-11-23T01:30:19.4869462Z def call(args):
2022-11-23T01:30:19.4869550Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:19.4869619Z     args.clear()
2022-11-23T01:30:19.4869825Z     buf0 = empty_strided((256, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4869905Z     aten.mm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:30:19.4869971Z     del arg1_1
2022-11-23T01:30:19.4870036Z     del arg2_1
2022-11-23T01:30:19.4870238Z     buf3 = empty_strided((256, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4870339Z     buf1 = as_strided(buf3, (256, 256), (512, 1))  # alias
2022-11-23T01:30:19.4870457Z     aten.mm.out(as_strided(buf0, (256, 100), (1600, 1)), arg3_1, out=buf1)
2022-11-23T01:30:19.4870553Z     del arg3_1
2022-11-23T01:30:19.4870604Z     del buf0
2022-11-23T01:30:19.4870708Z     buf2 = as_strided(buf3, (256, 256), (512, 1), 256)  # alias
2022-11-23T01:30:19.4870843Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.4870912Z     del arg0_1
2022-11-23T01:30:19.4870986Z     return (buf3, )
2022-11-23T01:30:19.4870991Z 
2022-11-23T01:30:19.4870995Z 
2022-11-23T01:30:19.4871073Z if __name__ == "__main__":
2022-11-23T01:30:19.4871185Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4871307Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4871499Z     arg0_1 = rand_strided((256, 256), (256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4871702Z     arg1_1 = rand_strided((256, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4871905Z     arg2_1 = rand_strided((1024, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4872107Z     arg3_1 = rand_strided((100, 256), (256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4872235Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:19.4872242Z 
2022-11-23T01:30:19.4872314Z ok (1.536s)
2022-11-23T01:30:19.4872634Z   test_cat_upcasting_cpu (__main__.CpuTests) ... [2022-11-23 01:22:53,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4872952Z [2022-11-23 01:22:53,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4873170Z [2022-11-23 01:22:53,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4873413Z [2022-11-23 01:22:53,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4873692Z [2022-11-23 01:22:53,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4874093Z [2022-11-23 01:22:53,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4874447Z [2022-11-23 01:22:53,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4874771Z [2022-11-23 01:22:53,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4875146Z [2022-11-23 01:22:53,993] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f59a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567> 
2022-11-23T01:30:19.4875243Z  2568           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4875337Z                2 LOAD_ATTR                1 (cat)
2022-11-23T01:30:19.4875435Z                4 LOAD_METHOD              2 (default)
2022-11-23T01:30:19.4875517Z                6 LOAD_FAST                0 (arg4_1)
2022-11-23T01:30:19.4875609Z                8 LOAD_FAST                1 (slice_7)
2022-11-23T01:30:19.4875770Z               10 BUILD_LIST               2
2022-11-23T01:30:19.4875860Z               12 LOAD_CONST               1 (1)
2022-11-23T01:30:19.4875949Z               14 CALL_METHOD              2
2022-11-23T01:30:19.4876042Z               16 STORE_FAST               2 (cat_1)
2022-11-23T01:30:19.4876047Z 
2022-11-23T01:30:19.4876138Z 2569          18 LOAD_FAST                2 (cat_1)
2022-11-23T01:30:19.4876229Z               20 BUILD_TUPLE              1
2022-11-23T01:30:19.4876292Z               22 RETURN_VALUE
2022-11-23T01:30:19.4876354Z  
2022-11-23T01:30:19.4876359Z 
2022-11-23T01:30:19.4876680Z [2022-11-23 01:22:53,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2568
2022-11-23T01:30:19.4876900Z [2022-11-23 01:22:53,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4877234Z [2022-11-23 01:22:53,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4877494Z [2022-11-23 01:22:53,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.cat)]
2022-11-23T01:30:19.4877767Z [2022-11-23 01:22:54,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg4_1 [TorchVariable(aten.cat.default)]
2022-11-23T01:30:19.4878065Z [2022-11-23 01:22:54,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_7 [TorchVariable(aten.cat.default), TensorVariable()]
2022-11-23T01:30:19.4878386Z [2022-11-23 01:22:54,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.cat.default), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4878658Z [2022-11-23 01:22:54,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.cat.default), ListVariable()]
2022-11-23T01:30:19.4878992Z [2022-11-23 01:22:54,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.cat.default), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4879237Z [2022-11-23 01:22:54,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cat_1 [TensorVariable()]
2022-11-23T01:30:19.4879546Z [2022-11-23 01:22:54,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2569
2022-11-23T01:30:19.4879763Z [2022-11-23 01:22:54,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cat_1 []
2022-11-23T01:30:19.4880004Z [2022-11-23 01:22:54,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.4880249Z [2022-11-23 01:22:54,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4880631Z [2022-11-23 01:22:54,001] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f59a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2567>
2022-11-23T01:30:19.4880879Z [2022-11-23 01:22:54,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4881114Z [2022-11-23 01:22:54,001] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4881353Z [2022-11-23 01:22:54,002] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4881602Z [2022-11-23 01:22:54,005] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4881790Z [2022-11-23 01:22:54,005] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4881925Z  __compiled_fn_50 <eval_with_key>.324 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4882016Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4882106Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4882243Z call_function, cat_default, aten.cat.default, ([ex_0_, ex_1_], 1), {}
2022-11-23T01:30:19.4882348Z output, output, output, ((cat_default,),), {}
2022-11-23T01:30:19.4882398Z 
2022-11-23T01:30:19.4882709Z [2022-11-23 01:22:54,006] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4882805Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4882897Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4882986Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4883077Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4883162Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4883251Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4883325Z              12 RETURN_VALUE
2022-11-23T01:30:19.4883330Z 
2022-11-23T01:30:19.4883378Z  
2022-11-23T01:30:19.4883699Z [2022-11-23 01:22:54,006] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4883835Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_50)
2022-11-23T01:30:19.4883924Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4884012Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4884082Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4888652Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4888760Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4888842Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4888937Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4889046Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4889149Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4889225Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4889306Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4889402Z              24 BUILD_TUPLE              1
2022-11-23T01:30:19.4889479Z              26 RETURN_VALUE
2022-11-23T01:30:19.4889485Z 
2022-11-23T01:30:19.4889548Z  
2022-11-23T01:30:19.4889763Z [2022-11-23 01:22:54,007] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4889833Z  - 
2022-11-23T01:30:19.4889943Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4890010Z             {
2022-11-23T01:30:19.4890153Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4890341Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4890462Z                 'obj_weakref': None
2022-11-23T01:30:19.4890689Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4890756Z             }
2022-11-23T01:30:19.4890807Z             
2022-11-23T01:30:19.4890877Z  - 
2022-11-23T01:30:19.4891003Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4891070Z             {
2022-11-23T01:30:19.4891213Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4891321Z                 'code': None,
2022-11-23T01:30:19.4891540Z                 'obj_weakref': <weakref at 0x7ff58fc14ae0; to 'Tensor' at 0x7ff58fd28130>
2022-11-23T01:30:19.4891782Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4891850Z             }
2022-11-23T01:30:19.4891914Z             
2022-11-23T01:30:19.4891984Z  - 
2022-11-23T01:30:19.4892109Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4892173Z             {
2022-11-23T01:30:19.4892315Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4892410Z                 'code': None,
2022-11-23T01:30:19.4892624Z                 'obj_weakref': <weakref at 0x7ff58fd0a020; to 'Tensor' at 0x7ff58fe74d60>
2022-11-23T01:30:19.4892880Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4892947Z             }
2022-11-23T01:30:19.4893012Z             
2022-11-23T01:30:19.4893083Z  - 
2022-11-23T01:30:19.4893298Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4893349Z             {
2022-11-23T01:30:19.4893484Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4893655Z                 'code': ['___check_obj_id(model, 140692658416096)'],
2022-11-23T01:30:19.4893776Z                 'obj_weakref': None
2022-11-23T01:30:19.4894008Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4894073Z             }
2022-11-23T01:30:19.4894137Z             
2022-11-23T01:30:19.4894193Z  - 
2022-11-23T01:30:19.4894315Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4894378Z             {
2022-11-23T01:30:19.4894514Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4894730Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4894886Z                 'obj_weakref': None
2022-11-23T01:30:19.4895108Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4895160Z             }
2022-11-23T01:30:19.4895224Z             
2022-11-23T01:30:19.4895293Z  - 
2022-11-23T01:30:19.4895424Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4895488Z             {
2022-11-23T01:30:19.4895606Z                 'guard_types': None,
2022-11-23T01:30:19.4895712Z                 'code': None,
2022-11-23T01:30:19.4895816Z                 'obj_weakref': None
2022-11-23T01:30:19.4895938Z                 'guarded_class': None
2022-11-23T01:30:19.4896002Z             }
2022-11-23T01:30:19.4896066Z             
2022-11-23T01:30:19.4896328Z [2022-11-23 01:22:54,011] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 49
2022-11-23T01:30:19.4896904Z [2022-11-23 01:22:55,398] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qn/cqn24bx53wlrbumwblpi7bwvtnkqirmsrvqdguezynmbavzrgqvp.py
2022-11-23T01:30:19.4897174Z [2022-11-23 01:22:55,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 49
2022-11-23T01:30:19.4897180Z 
2022-11-23T01:30:19.4897276Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4897332Z import torch
2022-11-23T01:30:19.4897402Z import random
2022-11-23T01:30:19.4897519Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4897640Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4897645Z 
2022-11-23T01:30:19.4897724Z aten = torch.ops.aten
2022-11-23T01:30:19.4897856Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4897950Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4897955Z 
2022-11-23T01:30:19.4897959Z 
2022-11-23T01:30:19.4898094Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4898290Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4898411Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4898518Z                        const half* __restrict__ in_ptr1,
2022-11-23T01:30:19.4898616Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4898712Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.4898774Z {
2022-11-23T01:30:19.4898875Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4898924Z     {
2022-11-23T01:30:19.4899002Z         #pragma omp for 
2022-11-23T01:30:19.4899085Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.4899151Z         {
2022-11-23T01:30:19.4899236Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.4899300Z             {
2022-11-23T01:30:19.4899452Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (16*i0));
2022-11-23T01:30:19.4899543Z                 tmp0.store(out_ptr0 + (8*i1) + (36*i0));
2022-11-23T01:30:19.4899610Z             }
2022-11-23T01:30:19.4899703Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.4899790Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:30:19.4899854Z             {
2022-11-23T01:30:19.4900006Z                 auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:30:19.4900099Z                 out_ptr0[i1 + (36*i0)] = tmp0;
2022-11-23T01:30:19.4900149Z             }
2022-11-23T01:30:19.4900213Z         }
2022-11-23T01:30:19.4900291Z         #pragma omp for 
2022-11-23T01:30:19.4900372Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.4900436Z         {
2022-11-23T01:30:19.4900517Z             #pragma GCC ivdep
2022-11-23T01:30:19.4900588Z             for(long i1=0; i1<20; i1+=1)
2022-11-23T01:30:19.4900654Z             {
2022-11-23T01:30:19.4900722Z                 {
2022-11-23T01:30:19.4900790Z                     {
2022-11-23T01:30:19.4900912Z                         auto tmp0 = static_cast<float>(in_ptr1[i1 + (20*i0)]);
2022-11-23T01:30:19.4901023Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.4901158Z                         out_ptr1[i1 + (36*i0)] = tmp1;
2022-11-23T01:30:19.4901212Z                     }
2022-11-23T01:30:19.4901281Z                 }
2022-11-23T01:30:19.4901346Z             }
2022-11-23T01:30:19.4901408Z         }
2022-11-23T01:30:19.4901470Z     }
2022-11-23T01:30:19.4901532Z }
2022-11-23T01:30:19.4901613Z ''')
2022-11-23T01:30:19.4901618Z 
2022-11-23T01:30:19.4901623Z 
2022-11-23T01:30:19.4901700Z async_compile.wait(globals())
2022-11-23T01:30:19.4901772Z del async_compile
2022-11-23T01:30:19.4901776Z 
2022-11-23T01:30:19.4901846Z def call(args):
2022-11-23T01:30:19.4901921Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4901992Z     args.clear()
2022-11-23T01:30:19.4902189Z     buf2 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4902289Z     buf0 = as_strided(buf2, (8, 16), (36, 1))  # alias
2022-11-23T01:30:19.4902392Z     buf1 = as_strided(buf2, (8, 20), (36, 1), 16)  # alias
2022-11-23T01:30:19.4902573Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.4902643Z     del arg0_1
2022-11-23T01:30:19.4902713Z     del arg1_1
2022-11-23T01:30:19.4902786Z     return (buf2, )
2022-11-23T01:30:19.4902791Z 
2022-11-23T01:30:19.4902795Z 
2022-11-23T01:30:19.4902872Z if __name__ == "__main__":
2022-11-23T01:30:19.4902986Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4903109Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4903295Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4903496Z     arg1_1 = rand_strided((8, 20), (20, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:30:19.4903611Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4903615Z 
2022-11-23T01:30:19.4903684Z ok (1.411s)
2022-11-23T01:30:19.4903993Z   test_cauchy_cpu (__main__.CpuTests) ... [2022-11-23 01:22:55,403] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4904317Z [2022-11-23 01:22:55,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4904538Z [2022-11-23 01:22:55,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4904792Z [2022-11-23 01:22:55,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4905070Z [2022-11-23 01:22:55,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4905391Z [2022-11-23 01:22:55,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4905725Z [2022-11-23 01:22:55,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4906085Z [2022-11-23 01:22:55,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4906463Z [2022-11-23 01:22:55,404] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f40e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2357> 
2022-11-23T01:30:19.4906559Z  2358           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4906653Z                2 LOAD_METHOD              1 (sum)
2022-11-23T01:30:19.4906745Z                4 LOAD_CONST               1 (1)
2022-11-23T01:30:19.4906841Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.4906939Z                8 LOAD_METHOD              2 (unsqueeze)
2022-11-23T01:30:19.4907015Z               10 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4907153Z               12 LOAD_CONST               2 (-1)
2022-11-23T01:30:19.4907275Z               14 CALL_METHOD              2
2022-11-23T01:30:19.4907364Z               16 LOAD_FAST                1 (y)
2022-11-23T01:30:19.4907446Z               18 BINARY_SUBTRACT
2022-11-23T01:30:19.4907530Z               20 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.4907619Z               22 CALL_METHOD              1
2022-11-23T01:30:19.4907682Z               24 RETURN_VALUE
2022-11-23T01:30:19.4907745Z  
2022-11-23T01:30:19.4907750Z 
2022-11-23T01:30:19.4908065Z [2022-11-23 01:22:55,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2358
2022-11-23T01:30:19.4908285Z [2022-11-23 01:22:55,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.4908649Z [2022-11-23 01:22:55,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4908969Z [2022-11-23 01:22:55,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4909338Z [2022-11-23 01:22:55,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:19.4909862Z [2022-11-23 01:22:55,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4910332Z [2022-11-23 01:22:55,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4910836Z [2022-11-23 01:22:55,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4911379Z [2022-11-23 01:22:55,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4911757Z [2022-11-23 01:22:55,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.4912183Z [2022-11-23 01:22:55,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4912619Z [2022-11-23 01:22:55,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.4912966Z [2022-11-23 01:22:55,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4913200Z [2022-11-23 01:22:55,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4913581Z [2022-11-23 01:22:55,408] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f40e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2357>
2022-11-23T01:30:19.4913902Z [2022-11-23 01:22:55,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.4914144Z [2022-11-23 01:22:55,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4914435Z [2022-11-23 01:22:55,410] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4914684Z [2022-11-23 01:22:55,415] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4914874Z [2022-11-23 01:22:55,415] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4915009Z  __compiled_fn_51 <eval_with_key>.330 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4915100Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4915174Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4915425Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7ff5d7c59c60>, (ex_0_, -1), {}
2022-11-23T01:30:19.4915611Z call_function, sub, <built-in function sub>, (unsqueeze, ex_1_), {}
2022-11-23T01:30:19.4915792Z call_function, truediv, <built-in function truediv>, (1, sub), {}
2022-11-23T01:30:19.4916024Z call_function, sum_1, <built-in method sum of type object at 0x7ff5d7c59c60>, (truediv,), {}
2022-11-23T01:30:19.4916120Z output, output, output, ((sum_1,),), {}
2022-11-23T01:30:19.4916125Z 
2022-11-23T01:30:19.4916455Z [2022-11-23 01:22:55,416] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4916551Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4916628Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4916716Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4916810Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4916895Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4916983Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4917064Z              12 RETURN_VALUE
2022-11-23T01:30:19.4917069Z 
2022-11-23T01:30:19.4917130Z  
2022-11-23T01:30:19.4917451Z [2022-11-23 01:22:55,416] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4917552Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_51)
2022-11-23T01:30:19.4917641Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4917731Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4917809Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4917898Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4917987Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4918063Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4918139Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4918229Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.4918304Z              18 RETURN_VALUE
2022-11-23T01:30:19.4918309Z 
2022-11-23T01:30:19.4918371Z  
2022-11-23T01:30:19.4918554Z [2022-11-23 01:22:55,416] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4918627Z  - 
2022-11-23T01:30:19.4918748Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4918799Z             {
2022-11-23T01:30:19.4918940Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4919157Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4919279Z                 'obj_weakref': None
2022-11-23T01:30:19.4919504Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4919571Z             }
2022-11-23T01:30:19.4919636Z             
2022-11-23T01:30:19.4919693Z  - 
2022-11-23T01:30:19.4919816Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4919882Z             {
2022-11-23T01:30:19.4920023Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4920130Z                 'code': None,
2022-11-23T01:30:19.4920343Z                 'obj_weakref': <weakref at 0x7ff58fc17100; to 'Tensor' at 0x7ff58fdf1170>
2022-11-23T01:30:19.4920601Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4920679Z             }
2022-11-23T01:30:19.4920745Z             
2022-11-23T01:30:19.4920819Z  - 
2022-11-23T01:30:19.4920943Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4921006Z             {
2022-11-23T01:30:19.4921148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4921258Z                 'code': None,
2022-11-23T01:30:19.4921455Z                 'obj_weakref': <weakref at 0x7ff58fc45b20; to 'Tensor' at 0x7ff58fd29cb0>
2022-11-23T01:30:19.4921707Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4921771Z             }
2022-11-23T01:30:19.4921836Z             
2022-11-23T01:30:19.4921905Z  - 
2022-11-23T01:30:19.4922037Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4922103Z             {
2022-11-23T01:30:19.4922224Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4922399Z                 'code': ['___check_obj_id(model, 140692658420560)'],
2022-11-23T01:30:19.4922518Z                 'obj_weakref': None
2022-11-23T01:30:19.4922751Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4922816Z             }
2022-11-23T01:30:19.4922880Z             
2022-11-23T01:30:19.4922951Z  - 
2022-11-23T01:30:19.4923059Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4923124Z             {
2022-11-23T01:30:19.4923262Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4923480Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4923597Z                 'obj_weakref': None
2022-11-23T01:30:19.4923814Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4923881Z             }
2022-11-23T01:30:19.4923931Z             
2022-11-23T01:30:19.4924006Z  - 
2022-11-23T01:30:19.4924140Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4924206Z             {
2022-11-23T01:30:19.4924325Z                 'guard_types': None,
2022-11-23T01:30:19.4924434Z                 'code': None,
2022-11-23T01:30:19.4924553Z                 'obj_weakref': None
2022-11-23T01:30:19.4924660Z                 'guarded_class': None
2022-11-23T01:30:19.4924724Z             }
2022-11-23T01:30:19.4924789Z             
2022-11-23T01:30:19.4925049Z [2022-11-23 01:22:55,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 50
2022-11-23T01:30:19.4925415Z [2022-11-23 01:22:56,799] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pk/cpkl5euqk7zvcpsslls53z4so4u3c4u455kuqoodoqxkw4sbywxq.py
2022-11-23T01:30:19.4925676Z [2022-11-23 01:22:56,799] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 50
2022-11-23T01:30:19.4925681Z 
2022-11-23T01:30:19.4925775Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4925848Z import torch
2022-11-23T01:30:19.4925904Z import random
2022-11-23T01:30:19.4926021Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4926174Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4926180Z 
2022-11-23T01:30:19.4926259Z aten = torch.ops.aten
2022-11-23T01:30:19.4926394Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4926488Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4926493Z 
2022-11-23T01:30:19.4926498Z 
2022-11-23T01:30:19.4926631Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4926837Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4926945Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4927051Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.4927152Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.4927243Z {
2022-11-23T01:30:19.4927306Z     {
2022-11-23T01:30:19.4927371Z         {
2022-11-23T01:30:19.4927451Z             float tmp6 = 0;
2022-11-23T01:30:19.4927546Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4927611Z             {
2022-11-23T01:30:19.4927715Z                 #pragma omp for reduction(+:tmp6) 
2022-11-23T01:30:19.4927803Z                 for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.4927871Z                 {
2022-11-23T01:30:19.4927966Z                     for(long i1=0; i1<32; i1+=1)
2022-11-23T01:30:19.4928033Z                     {
2022-11-23T01:30:19.4928090Z                         {
2022-11-23T01:30:19.4928187Z                             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4928280Z                             auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:19.4928423Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.4928515Z                             auto tmp3 = 1 / tmp2;
2022-11-23T01:30:19.4928624Z                             auto tmp4 = static_cast<float>(1);
2022-11-23T01:30:19.4928721Z                             auto tmp5 = tmp3 * tmp4;
2022-11-23T01:30:19.4928791Z                             tmp6 += tmp5;
2022-11-23T01:30:19.4928864Z                         }
2022-11-23T01:30:19.4928933Z                     }
2022-11-23T01:30:19.4929000Z                 }
2022-11-23T01:30:19.4929066Z             }
2022-11-23T01:30:19.4929145Z             out_ptr0[0] = tmp6;
2022-11-23T01:30:19.4929211Z         }
2022-11-23T01:30:19.4929261Z     }
2022-11-23T01:30:19.4929323Z }
2022-11-23T01:30:19.4929403Z ''')
2022-11-23T01:30:19.4929408Z 
2022-11-23T01:30:19.4929412Z 
2022-11-23T01:30:19.4929503Z async_compile.wait(globals())
2022-11-23T01:30:19.4929576Z del async_compile
2022-11-23T01:30:19.4929581Z 
2022-11-23T01:30:19.4929651Z def call(args):
2022-11-23T01:30:19.4929727Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4929785Z     args.clear()
2022-11-23T01:30:19.4929972Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4930139Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.4930208Z     del arg0_1
2022-11-23T01:30:19.4930278Z     del arg1_1
2022-11-23T01:30:19.4930352Z     return (buf0, )
2022-11-23T01:30:19.4930357Z 
2022-11-23T01:30:19.4930361Z 
2022-11-23T01:30:19.4930438Z if __name__ == "__main__":
2022-11-23T01:30:19.4930539Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4930663Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4930858Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4931050Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4931165Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4931169Z 
2022-11-23T01:30:19.4931237Z ok (1.401s)
2022-11-23T01:30:19.4931544Z   test_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:22:56,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4931913Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4932132Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4932371Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4932651Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4932972Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4933320Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4933672Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4934050Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872> 
2022-11-23T01:30:19.4934143Z  873           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4934240Z               2 LOAD_METHOD              0 (clamp)
2022-11-23T01:30:19.4934380Z               4 LOAD_CONST               1 (-0.1)
2022-11-23T01:30:19.4934460Z               6 LOAD_CONST               2 (0.1)
2022-11-23T01:30:19.4934548Z               8 CALL_METHOD              2
2022-11-23T01:30:19.4934640Z              10 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4934733Z              12 LOAD_METHOD              0 (clamp)
2022-11-23T01:30:19.4934822Z              14 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4934909Z              16 CALL_METHOD              1
2022-11-23T01:30:19.4935003Z              18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.4935081Z              20 LOAD_ATTR                0 (clamp)
2022-11-23T01:30:19.4935171Z              22 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4935257Z              24 LOAD_FAST                1 (b)
2022-11-23T01:30:19.4935331Z              26 BINARY_ADD
2022-11-23T01:30:19.4935419Z              28 LOAD_CONST               3 (0)
2022-11-23T01:30:19.4935563Z              30 LOAD_CONST               4 (('max',))
2022-11-23T01:30:19.4935654Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:30:19.4935742Z              34 BUILD_TUPLE              3
2022-11-23T01:30:19.4935804Z              36 RETURN_VALUE
2022-11-23T01:30:19.4935866Z  
2022-11-23T01:30:19.4935871Z 
2022-11-23T01:30:19.4936189Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:873
2022-11-23T01:30:19.4936531Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.4936785Z [2022-11-23 01:22:56,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()]
2022-11-23T01:30:19.4937070Z [2022-11-23 01:22:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -0.1 [GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:30:19.4937389Z [2022-11-23 01:22:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.1 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float)]
2022-11-23T01:30:19.4937755Z [2022-11-23 01:22:56,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:30:19.4937992Z [2022-11-23 01:22:56,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:19.4938253Z [2022-11-23 01:22:56,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4938609Z [2022-11-23 01:22:56,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:30:19.4938957Z [2022-11-23 01:22:56,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)]
2022-11-23T01:30:19.4939232Z [2022-11-23 01:22:56,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4939660Z [2022-11-23 01:22:56,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.4940040Z [2022-11-23 01:22:56,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.4940491Z [2022-11-23 01:22:56,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4940933Z [2022-11-23 01:22:56,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4941344Z [2022-11-23 01:22:56,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.4941801Z [2022-11-23 01:22:56,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('max',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4942302Z [2022-11-23 01:22:56,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:19.4942600Z [2022-11-23 01:22:56,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4942848Z [2022-11-23 01:22:56,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4943228Z [2022-11-23 01:22:56,812] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19a970, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 872>
2022-11-23T01:30:19.4943459Z [2022-11-23 01:22:56,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4943696Z [2022-11-23 01:22:56,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4943953Z [2022-11-23 01:22:56,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4944202Z [2022-11-23 01:22:56,819] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4944392Z [2022-11-23 01:22:56,819] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4944524Z  __compiled_fn_52 <eval_with_key>.336 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4944614Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4944704Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.4944843Z call_method, clamp, clamp, (ex_0_, -0.1, 0.1), {}
2022-11-23T01:30:19.4944944Z call_method, clamp_1, clamp, (ex_1_, 0), {}
2022-11-23T01:30:19.4945121Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.4945365Z call_function, clamp_2, <built-in method clamp of type object at 0x7ff5d7c59c60>, (add,), {'max': 0}
2022-11-23T01:30:19.4945486Z output, output, output, ((clamp, clamp_1, clamp_2),), {}
2022-11-23T01:30:19.4945520Z 
2022-11-23T01:30:19.4945849Z [2022-11-23 01:22:56,819] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4945944Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4946036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4946111Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4946205Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4946292Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4946380Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4946456Z              12 RETURN_VALUE
2022-11-23T01:30:19.4946461Z 
2022-11-23T01:30:19.4946524Z  
2022-11-23T01:30:19.4946872Z [2022-11-23 01:22:56,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4946984Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_52)
2022-11-23T01:30:19.4947061Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4947149Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4947227Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4947315Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4947401Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4947478Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.4947566Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.4947656Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4947757Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4947845Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4947924Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4948027Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4948115Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4948192Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.4948278Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4948366Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.4948443Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.4948531Z              36 BUILD_TUPLE              3
2022-11-23T01:30:19.4948606Z              38 RETURN_VALUE
2022-11-23T01:30:19.4948611Z 
2022-11-23T01:30:19.4948672Z  
2022-11-23T01:30:19.4948855Z [2022-11-23 01:22:56,820] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4948913Z  - 
2022-11-23T01:30:19.4949032Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4949098Z             {
2022-11-23T01:30:19.4949238Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4949426Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.4949548Z                 'obj_weakref': None
2022-11-23T01:30:19.4949775Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4949841Z             }
2022-11-23T01:30:19.4949891Z             
2022-11-23T01:30:19.4949961Z  - 
2022-11-23T01:30:19.4950085Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4950150Z             {
2022-11-23T01:30:19.4950292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4950398Z                 'code': None,
2022-11-23T01:30:19.4950596Z                 'obj_weakref': <weakref at 0x7ff58fc17470; to 'Tensor' at 0x7ff58ff15760>
2022-11-23T01:30:19.4950850Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4950914Z             }
2022-11-23T01:30:19.4950978Z             
2022-11-23T01:30:19.4951048Z  - 
2022-11-23T01:30:19.4951171Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.4951236Z             {
2022-11-23T01:30:19.4951365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4951503Z                 'code': None,
2022-11-23T01:30:19.4951714Z                 'obj_weakref': <weakref at 0x7ff58fc14810; to 'Tensor' at 0x7ff58fd53c90>
2022-11-23T01:30:19.4951966Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4952032Z             }
2022-11-23T01:30:19.4952097Z             
2022-11-23T01:30:19.4952168Z  - 
2022-11-23T01:30:19.4952285Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4952351Z             {
2022-11-23T01:30:19.4952486Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4952656Z                 'code': ['___check_obj_id(model, 140692659472848)'],
2022-11-23T01:30:19.4952776Z                 'obj_weakref': None
2022-11-23T01:30:19.4953007Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4953103Z             }
2022-11-23T01:30:19.4953153Z             
2022-11-23T01:30:19.4953223Z  - 
2022-11-23T01:30:19.4953349Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4953412Z             {
2022-11-23T01:30:19.4953547Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4953761Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4953958Z                 'obj_weakref': None
2022-11-23T01:30:19.4954183Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4954234Z             }
2022-11-23T01:30:19.4954298Z             
2022-11-23T01:30:19.4954368Z  - 
2022-11-23T01:30:19.4954501Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.4954564Z             {
2022-11-23T01:30:19.4954684Z                 'guard_types': None,
2022-11-23T01:30:19.4954780Z                 'code': None,
2022-11-23T01:30:19.4954897Z                 'obj_weakref': None
2022-11-23T01:30:19.4955020Z                 'guarded_class': None
2022-11-23T01:30:19.4955086Z             }
2022-11-23T01:30:19.4955152Z             
2022-11-23T01:30:19.4955410Z [2022-11-23 01:22:56,832] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 51
2022-11-23T01:30:19.4955776Z [2022-11-23 01:22:58,244] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6e/c6eko4icixqrvbnf26tiaehny5ho2h336vdge27xha5ocdwexjk5.py
2022-11-23T01:30:19.4956042Z [2022-11-23 01:22:58,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 51
2022-11-23T01:30:19.4956047Z 
2022-11-23T01:30:19.4956127Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4956199Z import torch
2022-11-23T01:30:19.4956269Z import random
2022-11-23T01:30:19.4956385Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4956505Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4956512Z 
2022-11-23T01:30:19.4956593Z aten = torch.ops.aten
2022-11-23T01:30:19.4956726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4956807Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4956826Z 
2022-11-23T01:30:19.4956830Z 
2022-11-23T01:30:19.4956951Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4957162Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4957281Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4957385Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.4957485Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4957583Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.4957676Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.4957724Z {
2022-11-23T01:30:19.4957822Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4957889Z     {
2022-11-23T01:30:19.4957968Z         #pragma omp for 
2022-11-23T01:30:19.4958050Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.4958114Z         {
2022-11-23T01:30:19.4958295Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.4958417Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.4958638Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-0.10000000149011612));
2022-11-23T01:30:19.4958747Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T01:30:19.4958888Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.10000000149011612));
2022-11-23T01:30:19.4958996Z             auto tmp4 = at::vec::minimum(tmp2, tmp3);
2022-11-23T01:30:19.4959129Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:30:19.4959235Z             auto tmp7 = at::vec::maximum(tmp5, tmp6);
2022-11-23T01:30:19.4959360Z             auto tmp8 = tmp0 + tmp5;
2022-11-23T01:30:19.4959466Z             auto tmp9 = at::vec::minimum(tmp8, tmp6);
2022-11-23T01:30:19.4959544Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.4959638Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.4959728Z             tmp9.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.4959792Z         }
2022-11-23T01:30:19.4959887Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4959970Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.4960035Z         {
2022-11-23T01:30:19.4960105Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4960188Z             auto tmp5 = in_ptr1[i0];
2022-11-23T01:30:19.4960360Z             auto tmp1 = static_cast<float>(-0.10000000149011612);
2022-11-23T01:30:19.4960460Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:30:19.4960572Z             auto tmp3 = static_cast<float>(0.10000000149011612);
2022-11-23T01:30:19.4960670Z             auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:30:19.4960775Z             auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:30:19.4960860Z             auto tmp7 = std::max(tmp5, tmp6);
2022-11-23T01:30:19.4960947Z             auto tmp8 = tmp0 + tmp5;
2022-11-23T01:30:19.4961044Z             auto tmp9 = std::min(tmp8, tmp6);
2022-11-23T01:30:19.4961126Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.4961206Z             out_ptr1[i0] = tmp7;
2022-11-23T01:30:19.4961283Z             out_ptr2[i0] = tmp9;
2022-11-23T01:30:19.4961346Z         }
2022-11-23T01:30:19.4961394Z     }
2022-11-23T01:30:19.4961455Z }
2022-11-23T01:30:19.4961534Z ''')
2022-11-23T01:30:19.4961540Z 
2022-11-23T01:30:19.4961544Z 
2022-11-23T01:30:19.4961634Z async_compile.wait(globals())
2022-11-23T01:30:19.4961708Z del async_compile
2022-11-23T01:30:19.4961713Z 
2022-11-23T01:30:19.4961785Z def call(args):
2022-11-23T01:30:19.4961861Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.4961920Z     args.clear()
2022-11-23T01:30:19.4962117Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4962313Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4962507Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4962722Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.4962792Z     del arg0_1
2022-11-23T01:30:19.4962860Z     del arg1_1
2022-11-23T01:30:19.4962943Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.4962948Z 
2022-11-23T01:30:19.4962952Z 
2022-11-23T01:30:19.4963030Z if __name__ == "__main__":
2022-11-23T01:30:19.4963133Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4963257Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4963455Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4963648Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4963765Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.4963770Z 
2022-11-23T01:30:19.4963876Z ok (1.446s)
2022-11-23T01:30:19.4964180Z   test_clone_cpu (__main__.CpuTests) ... [2022-11-23 01:22:58,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4964500Z [2022-11-23 01:22:58,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4964703Z [2022-11-23 01:22:58,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4964957Z [2022-11-23 01:22:58,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4965235Z [2022-11-23 01:22:58,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4965554Z [2022-11-23 01:22:58,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4965932Z [2022-11-23 01:22:58,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4966254Z [2022-11-23 01:22:58,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4966632Z [2022-11-23 01:22:58,250] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f4b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447> 
2022-11-23T01:30:19.4966729Z  2448           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4966824Z                2 LOAD_METHOD              1 (clone)
2022-11-23T01:30:19.4966902Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4966992Z                6 CALL_METHOD              1
2022-11-23T01:30:19.4967085Z                8 LOAD_CONST               1 (2)
2022-11-23T01:30:19.4967161Z               10 BINARY_ADD
2022-11-23T01:30:19.4967259Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4967352Z               14 LOAD_METHOD              1 (clone)
2022-11-23T01:30:19.4967442Z               16 LOAD_FAST                0 (x)
2022-11-23T01:30:19.4967532Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4967594Z               20 BINARY_ADD
2022-11-23T01:30:19.4967682Z               22 CALL_METHOD              1
2022-11-23T01:30:19.4967771Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.4967849Z               26 RETURN_VALUE
2022-11-23T01:30:19.4967911Z  
2022-11-23T01:30:19.4967916Z 
2022-11-23T01:30:19.4968233Z [2022-11-23 01:22:58,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2448
2022-11-23T01:30:19.4968448Z [2022-11-23 01:22:58,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4968742Z [2022-11-23 01:22:58,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4968994Z [2022-11-23 01:22:58,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.clone)]
2022-11-23T01:30:19.4969281Z [2022-11-23 01:22:58,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:30:19.4969518Z [2022-11-23 01:22:58,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.4969795Z [2022-11-23 01:22:58,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4970038Z [2022-11-23 01:22:58,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.4970373Z [2022-11-23 01:22:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4970679Z [2022-11-23 01:22:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.clone)]
2022-11-23T01:30:19.4970990Z [2022-11-23 01:22:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:30:19.4971341Z [2022-11-23 01:22:58,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.clone), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4971655Z [2022-11-23 01:22:58,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:30:19.4971907Z [2022-11-23 01:22:58,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.4972181Z [2022-11-23 01:22:58,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4972562Z [2022-11-23 01:22:58,266] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f4b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2447>
2022-11-23T01:30:19.4972806Z [2022-11-23 01:22:58,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.4973043Z [2022-11-23 01:22:58,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.4973296Z [2022-11-23 01:22:58,267] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.4973546Z [2022-11-23 01:22:58,270] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.4973735Z [2022-11-23 01:22:58,271] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.4973874Z  __compiled_fn_53 <eval_with_key>.342 opcode, name, target, args, kwargs
2022-11-23T01:30:19.4973950Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.4974061Z call_function, clone, aten.clone, (ex_0_,), {}
2022-11-23T01:30:19.4974237Z call_function, add, <built-in function add>, (clone, 2), {}
2022-11-23T01:30:19.4974410Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.4974518Z call_function, clone_1, aten.clone, (add_1,), {}
2022-11-23T01:30:19.4974625Z output, output, output, ((add, clone_1),), {}
2022-11-23T01:30:19.4974630Z 
2022-11-23T01:30:19.4974954Z [2022-11-23 01:22:58,271] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4975050Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.4975127Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4975215Z               4 BUILD_MAP                0
2022-11-23T01:30:19.4975312Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.4975399Z               8 DICT_MERGE               1
2022-11-23T01:30:19.4975490Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.4975568Z              12 RETURN_VALUE
2022-11-23T01:30:19.4975573Z 
2022-11-23T01:30:19.4975635Z  
2022-11-23T01:30:19.4975956Z [2022-11-23 01:22:58,271] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.4976052Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_53)
2022-11-23T01:30:19.4976142Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.4976231Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4976311Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.4976399Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.4976626Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.4976730Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4976807Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4976885Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.4977047Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.4977137Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4977214Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.4977303Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.4977378Z              26 RETURN_VALUE
2022-11-23T01:30:19.4977384Z 
2022-11-23T01:30:19.4977432Z  
2022-11-23T01:30:19.4977618Z [2022-11-23 01:22:58,272] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.4977689Z  - 
2022-11-23T01:30:19.4977808Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.4977875Z             {
2022-11-23T01:30:19.4978013Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.4978202Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.4978382Z                 'obj_weakref': None
2022-11-23T01:30:19.4978606Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.4978673Z             }
2022-11-23T01:30:19.4978737Z             
2022-11-23T01:30:19.4978807Z  - 
2022-11-23T01:30:19.4978931Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.4978995Z             {
2022-11-23T01:30:19.4979124Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.4979232Z                 'code': None,
2022-11-23T01:30:19.4979449Z                 'obj_weakref': <weakref at 0x7ff58fc4de90; to 'Tensor' at 0x7ff58fd0a3e0>
2022-11-23T01:30:19.4979702Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.4979766Z             }
2022-11-23T01:30:19.4979832Z             
2022-11-23T01:30:19.4979902Z  - 
2022-11-23T01:30:19.4980020Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.4980086Z             {
2022-11-23T01:30:19.4980223Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.4980395Z                 'code': ['___check_obj_id(model, 140692657054784)'],
2022-11-23T01:30:19.4980516Z                 'obj_weakref': None
2022-11-23T01:30:19.4980748Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.4980812Z             }
2022-11-23T01:30:19.4980863Z             
2022-11-23T01:30:19.4980935Z  - 
2022-11-23T01:30:19.4981055Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.4981121Z             {
2022-11-23T01:30:19.4981256Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.4981474Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.4981592Z                 'obj_weakref': None
2022-11-23T01:30:19.4981798Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.4981865Z             }
2022-11-23T01:30:19.4981930Z             
2022-11-23T01:30:19.4982000Z  - 
2022-11-23T01:30:19.4982130Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.4982199Z             {
2022-11-23T01:30:19.4982319Z                 'guard_types': None,
2022-11-23T01:30:19.4982413Z                 'code': None,
2022-11-23T01:30:19.4982529Z                 'obj_weakref': None
2022-11-23T01:30:19.4982651Z                 'guarded_class': None
2022-11-23T01:30:19.4982714Z             }
2022-11-23T01:30:19.4982778Z             
2022-11-23T01:30:19.4983035Z [2022-11-23 01:22:58,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 52
2022-11-23T01:30:19.4983398Z [2022-11-23 01:22:59,723] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/57/c57qskegb52bd52rabuoebua5eekdq6blaa5wv2oikb5r7h7bhci.py
2022-11-23T01:30:19.4983661Z [2022-11-23 01:22:59,723] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 52
2022-11-23T01:30:19.4983669Z 
2022-11-23T01:30:19.4983750Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.4983820Z import torch
2022-11-23T01:30:19.4983890Z import random
2022-11-23T01:30:19.4984034Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.4984159Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.4984164Z 
2022-11-23T01:30:19.4984245Z aten = torch.ops.aten
2022-11-23T01:30:19.4984379Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.4984459Z async_compile = AsyncCompile()
2022-11-23T01:30:19.4984463Z 
2022-11-23T01:30:19.4984482Z 
2022-11-23T01:30:19.4984603Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.4984809Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.4984930Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.4985030Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.4985157Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.4985218Z {
2022-11-23T01:30:19.4985318Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.4985370Z     {
2022-11-23T01:30:19.4985450Z         #pragma omp for 
2022-11-23T01:30:19.4985531Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.4985594Z         {
2022-11-23T01:30:19.4985730Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.4985863Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.4985947Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4986064Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.4986149Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:19.4986241Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.4986332Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.4986397Z         }
2022-11-23T01:30:19.4986493Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.4986578Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:19.4986629Z         {
2022-11-23T01:30:19.4986715Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.4986815Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.4986898Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.4986995Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:19.4987078Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:19.4987157Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.4987223Z             out_ptr1[i0] = tmp4;
2022-11-23T01:30:19.4987287Z         }
2022-11-23T01:30:19.4987350Z     }
2022-11-23T01:30:19.4987410Z }
2022-11-23T01:30:19.4987490Z ''')
2022-11-23T01:30:19.4987495Z 
2022-11-23T01:30:19.4987500Z 
2022-11-23T01:30:19.4987588Z async_compile.wait(globals())
2022-11-23T01:30:19.4987662Z del async_compile
2022-11-23T01:30:19.4987667Z 
2022-11-23T01:30:19.4987723Z def call(args):
2022-11-23T01:30:19.4987799Z     arg0_1, = args
2022-11-23T01:30:19.4987871Z     args.clear()
2022-11-23T01:30:19.4988074Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4988272Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4988436Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.4988511Z     del arg0_1
2022-11-23T01:30:19.4988589Z     return (buf0, buf1, )
2022-11-23T01:30:19.4988595Z 
2022-11-23T01:30:19.4988599Z 
2022-11-23T01:30:19.4988662Z if __name__ == "__main__":
2022-11-23T01:30:19.4988776Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.4988900Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.4989099Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.4989208Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.4989212Z 
2022-11-23T01:30:19.4989284Z ok (1.478s)
2022-11-23T01:30:19.4989627Z   test_constant_pad_1d_cpu (__main__.CpuTests) ... [2022-11-23 01:22:59,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.4989945Z [2022-11-23 01:22:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.4990149Z [2022-11-23 01:22:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.4990407Z [2022-11-23 01:22:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.4990682Z [2022-11-23 01:22:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.4991002Z [2022-11-23 01:22:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4991346Z [2022-11-23 01:22:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4991698Z [2022-11-23 01:22:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.4992074Z [2022-11-23 01:22:59,731] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e10b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116> 
2022-11-23T01:30:19.4992184Z  3118           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4992339Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:30:19.4992464Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4992559Z                6 LOAD_CONST               1 (0)
2022-11-23T01:30:19.4992650Z                8 LOAD_CONST               2 (1)
2022-11-23T01:30:19.4992739Z               10 BUILD_LIST               2
2022-11-23T01:30:19.4992833Z               12 LOAD_CONST               3 (6.0)
2022-11-23T01:30:19.4992923Z               14 CALL_METHOD              3
2022-11-23T01:30:19.4992929Z 
2022-11-23T01:30:19.4993024Z 3119          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.4993132Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:30:19.4993207Z               20 LOAD_FAST                0 (a)
2022-11-23T01:30:19.4993295Z               22 LOAD_CONST               4 (2)
2022-11-23T01:30:19.4993383Z               24 LOAD_CONST               5 (3)
2022-11-23T01:30:19.4993471Z               26 BUILD_LIST               2
2022-11-23T01:30:19.4993562Z               28 LOAD_CONST               6 (99.0)
2022-11-23T01:30:19.4993650Z               30 CALL_METHOD              3
2022-11-23T01:30:19.4993654Z 
2022-11-23T01:30:19.4993741Z 3117          32 BUILD_TUPLE              2
2022-11-23T01:30:19.4993880Z               34 RETURN_VALUE
2022-11-23T01:30:19.4993935Z  
2022-11-23T01:30:19.4993940Z 
2022-11-23T01:30:19.4994264Z [2022-11-23 01:22:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3118
2022-11-23T01:30:19.4994481Z [2022-11-23 01:22:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.4994802Z [2022-11-23 01:22:59,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4995069Z [2022-11-23 01:22:59,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:30:19.4995368Z [2022-11-23 01:22:59,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:30:19.4995699Z [2022-11-23 01:22:59,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4996119Z [2022-11-23 01:22:59,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4996443Z [2022-11-23 01:22:59,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4996814Z [2022-11-23 01:22:59,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.4997124Z [2022-11-23 01:22:59,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3119
2022-11-23T01:30:19.4997371Z [2022-11-23 01:22:59,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.4997716Z [2022-11-23 01:22:59,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.4998042Z [2022-11-23 01:22:59,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:30:19.4998364Z [2022-11-23 01:22:59,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:30:19.4998707Z [2022-11-23 01:22:59,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.4999098Z [2022-11-23 01:22:59,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.4999448Z [2022-11-23 01:22:59,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.4999844Z [2022-11-23 01:22:59,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.5000159Z [2022-11-23 01:22:59,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3117
2022-11-23T01:30:19.5000427Z [2022-11-23 01:22:59,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.5000671Z [2022-11-23 01:22:59,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5001049Z [2022-11-23 01:22:59,752] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e10b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3116>
2022-11-23T01:30:19.5001295Z [2022-11-23 01:22:59,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5001528Z [2022-11-23 01:22:59,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5001781Z [2022-11-23 01:22:59,754] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5002016Z [2022-11-23 01:22:59,758] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5002201Z [2022-11-23 01:22:59,758] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5002333Z  __compiled_fn_54 <eval_with_key>.348 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5002422Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5002562Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [0, 1], 6.0), {}
2022-11-23T01:30:19.5002698Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [2, 3], 99.0), {}
2022-11-23T01:30:19.5002831Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:30:19.5002836Z 
2022-11-23T01:30:19.5003187Z [2022-11-23 01:22:59,759] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5003280Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5003357Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5003443Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5003537Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5003623Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5003714Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5003791Z              12 RETURN_VALUE
2022-11-23T01:30:19.5003797Z 
2022-11-23T01:30:19.5003858Z  
2022-11-23T01:30:19.5004169Z [2022-11-23 01:22:59,759] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5004309Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_54)
2022-11-23T01:30:19.5004402Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5004493Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5004572Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5004662Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5004768Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5004869Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5004946Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5005024Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5005125Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5005214Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5005291Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.5005378Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.5005457Z              26 RETURN_VALUE
2022-11-23T01:30:19.5005462Z 
2022-11-23T01:30:19.5005512Z  
2022-11-23T01:30:19.5005697Z [2022-11-23 01:22:59,760] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5005768Z  - 
2022-11-23T01:30:19.5005890Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5005956Z             {
2022-11-23T01:30:19.5006098Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5006287Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5006392Z                 'obj_weakref': None
2022-11-23T01:30:19.5006618Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5006683Z             }
2022-11-23T01:30:19.5006748Z             
2022-11-23T01:30:19.5006818Z  - 
2022-11-23T01:30:19.5006942Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5007007Z             {
2022-11-23T01:30:19.5007139Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5007246Z                 'code': None,
2022-11-23T01:30:19.5007462Z                 'obj_weakref': <weakref at 0x7ff58fc8cb30; to 'Tensor' at 0x7ff58fc44090>
2022-11-23T01:30:19.5007715Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5007779Z             }
2022-11-23T01:30:19.5007847Z             
2022-11-23T01:30:19.5007917Z  - 
2022-11-23T01:30:19.5008034Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.5008099Z             {
2022-11-23T01:30:19.5008230Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5008397Z                 'code': ['___check_obj_id(model, 140692658629808)'],
2022-11-23T01:30:19.5008515Z                 'obj_weakref': None
2022-11-23T01:30:19.5008745Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.5008810Z             }
2022-11-23T01:30:19.5008863Z             
2022-11-23T01:30:19.5008932Z  - 
2022-11-23T01:30:19.5009054Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5009115Z             {
2022-11-23T01:30:19.5009282Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5009498Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5009614Z                 'obj_weakref': None
2022-11-23T01:30:19.5009823Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5009884Z             }
2022-11-23T01:30:19.5009945Z             
2022-11-23T01:30:19.5010012Z  - 
2022-11-23T01:30:19.5010140Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.5010200Z             {
2022-11-23T01:30:19.5010316Z                 'guard_types': None,
2022-11-23T01:30:19.5010408Z                 'code': None,
2022-11-23T01:30:19.5010521Z                 'obj_weakref': None
2022-11-23T01:30:19.5010669Z                 'guarded_class': None
2022-11-23T01:30:19.5010731Z             }
2022-11-23T01:30:19.5010793Z             
2022-11-23T01:30:19.5011051Z [2022-11-23 01:22:59,769] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 53
2022-11-23T01:30:19.5011421Z [2022-11-23 01:23:01,204] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiq7fhlt4uschbw4gaqcq7j2zvyuggcqtfuhobpy4cqrp2pv3xf.py
2022-11-23T01:30:19.5011667Z [2022-11-23 01:23:01,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 53
2022-11-23T01:30:19.5011687Z 
2022-11-23T01:30:19.5011766Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5011833Z import torch
2022-11-23T01:30:19.5011902Z import random
2022-11-23T01:30:19.5012017Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5012141Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5012146Z 
2022-11-23T01:30:19.5012222Z aten = torch.ops.aten
2022-11-23T01:30:19.5012356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5012435Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5012440Z 
2022-11-23T01:30:19.5012455Z 
2022-11-23T01:30:19.5012576Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5012778Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5012897Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5012994Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.5013092Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.5013150Z {
2022-11-23T01:30:19.5013246Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5013295Z     {
2022-11-23T01:30:19.5013370Z         #pragma omp for 
2022-11-23T01:30:19.5013451Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.5013512Z         {
2022-11-23T01:30:19.5013588Z             #pragma GCC ivdep
2022-11-23T01:30:19.5013674Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:30:19.5013725Z             {
2022-11-23T01:30:19.5013788Z                 {
2022-11-23T01:30:19.5013853Z                     {
2022-11-23T01:30:19.5013959Z                         auto tmp0 = static_cast<long>(i1);
2022-11-23T01:30:19.5014062Z                         auto tmp1 = static_cast<long>(31);
2022-11-23T01:30:19.5014153Z                         auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:19.5014237Z                         float tmp3 = 6.0;
2022-11-23T01:30:19.5014298Z                         if(tmp2)
2022-11-23T01:30:19.5014365Z                         {
2022-11-23T01:30:19.5014466Z                             auto tmp4 = in_ptr0[i1 + (31*i0)];
2022-11-23T01:30:19.5014546Z                             tmp3 = tmp4;
2022-11-23T01:30:19.5014613Z                         }
2022-11-23T01:30:19.5014706Z                         out_ptr0[i1 + (32*i0)] = tmp3;
2022-11-23T01:30:19.5014771Z                     }
2022-11-23T01:30:19.5014823Z                 }
2022-11-23T01:30:19.5014886Z             }
2022-11-23T01:30:19.5014946Z         }
2022-11-23T01:30:19.5015020Z         #pragma omp for 
2022-11-23T01:30:19.5015101Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.5015191Z         {
2022-11-23T01:30:19.5015271Z             #pragma GCC ivdep
2022-11-23T01:30:19.5015343Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:30:19.5015405Z             {
2022-11-23T01:30:19.5015468Z                 {
2022-11-23T01:30:19.5015531Z                     {
2022-11-23T01:30:19.5015695Z                         auto tmp0 = static_cast<long>((-2) + i1);
2022-11-23T01:30:19.5015797Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:19.5015889Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:19.5015980Z                         auto tmp3 = static_cast<long>(31);
2022-11-23T01:30:19.5016070Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:19.5016162Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:30:19.5016278Z                         float tmp6 = 99.0;
2022-11-23T01:30:19.5016350Z                         if(tmp5)
2022-11-23T01:30:19.5016557Z                         {
2022-11-23T01:30:19.5016729Z                             auto tmp7 = in_ptr0[(-2) + i1 + (31*i0)];
2022-11-23T01:30:19.5016799Z                             tmp6 = tmp7;
2022-11-23T01:30:19.5016867Z                         }
2022-11-23T01:30:19.5016960Z                         out_ptr1[i1 + (36*i0)] = tmp6;
2022-11-23T01:30:19.5017030Z                     }
2022-11-23T01:30:19.5017094Z                 }
2022-11-23T01:30:19.5017156Z             }
2022-11-23T01:30:19.5017217Z         }
2022-11-23T01:30:19.5017265Z     }
2022-11-23T01:30:19.5017324Z }
2022-11-23T01:30:19.5017402Z ''')
2022-11-23T01:30:19.5017407Z 
2022-11-23T01:30:19.5017412Z 
2022-11-23T01:30:19.5017500Z async_compile.wait(globals())
2022-11-23T01:30:19.5017573Z del async_compile
2022-11-23T01:30:19.5017577Z 
2022-11-23T01:30:19.5017647Z def call(args):
2022-11-23T01:30:19.5017718Z     arg0_1, = args
2022-11-23T01:30:19.5017776Z     args.clear()
2022-11-23T01:30:19.5017984Z     buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5018193Z     buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5018354Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.5018421Z     del arg0_1
2022-11-23T01:30:19.5018497Z     return (buf0, buf1, )
2022-11-23T01:30:19.5018502Z 
2022-11-23T01:30:19.5018507Z 
2022-11-23T01:30:19.5018581Z if __name__ == "__main__":
2022-11-23T01:30:19.5018694Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5018803Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5019009Z     arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5019114Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.5019121Z 
2022-11-23T01:30:19.5019189Z ok (1.481s)
2022-11-23T01:30:19.5019510Z   test_constant_pad_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:23:01,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5019827Z [2022-11-23 01:23:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5020044Z [2022-11-23 01:23:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5020292Z [2022-11-23 01:23:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.5020566Z [2022-11-23 01:23:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.5020872Z [2022-11-23 01:23:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5021218Z [2022-11-23 01:23:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5021601Z [2022-11-23 01:23:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5021975Z [2022-11-23 01:23:01,211] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e1210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125> 
2022-11-23T01:30:19.5022069Z  3127           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.5022175Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:30:19.5022264Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.5022352Z                6 BUILD_LIST               0
2022-11-23T01:30:19.5022450Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T01:30:19.5022560Z               10 LIST_EXTEND              1
2022-11-23T01:30:19.5022651Z               12 LOAD_CONST               2 (6.0)
2022-11-23T01:30:19.5022739Z               14 CALL_METHOD              3
2022-11-23T01:30:19.5022744Z 
2022-11-23T01:30:19.5022835Z 3128          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.5022939Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:30:19.5023025Z               20 LOAD_FAST                0 (a)
2022-11-23T01:30:19.5023110Z               22 BUILD_LIST               0
2022-11-23T01:30:19.5023191Z               24 LOAD_CONST               3 ((1, 2, 3, 4))
2022-11-23T01:30:19.5023275Z               26 LIST_EXTEND              1
2022-11-23T01:30:19.5023363Z               28 LOAD_CONST               4 (99.0)
2022-11-23T01:30:19.5023447Z               30 CALL_METHOD              3
2022-11-23T01:30:19.5023452Z 
2022-11-23T01:30:19.5023537Z 3126          32 BUILD_TUPLE              2
2022-11-23T01:30:19.5023611Z               34 RETURN_VALUE
2022-11-23T01:30:19.5023674Z  
2022-11-23T01:30:19.5023679Z 
2022-11-23T01:30:19.5023997Z [2022-11-23 01:23:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3127
2022-11-23T01:30:19.5024202Z [2022-11-23 01:23:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.5024522Z [2022-11-23 01:23:01,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5024785Z [2022-11-23 01:23:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:30:19.5025078Z [2022-11-23 01:23:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:30:19.5025404Z [2022-11-23 01:23:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5025771Z [2022-11-23 01:23:01,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5026087Z [2022-11-23 01:23:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5026450Z [2022-11-23 01:23:01,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.5026760Z [2022-11-23 01:23:01,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3128
2022-11-23T01:30:19.5027003Z [2022-11-23 01:23:01,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.5027351Z [2022-11-23 01:23:01,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5027671Z [2022-11-23 01:23:01,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:30:19.5027980Z [2022-11-23 01:23:01,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:30:19.5028334Z [2022-11-23 01:23:01,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5028724Z [2022-11-23 01:23:01,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5029073Z [2022-11-23 01:23:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5029494Z [2022-11-23 01:23:01,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.5029806Z [2022-11-23 01:23:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3126
2022-11-23T01:30:19.5030073Z [2022-11-23 01:23:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.5030316Z [2022-11-23 01:23:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5030697Z [2022-11-23 01:23:01,237] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e1210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3125>
2022-11-23T01:30:19.5030943Z [2022-11-23 01:23:01,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5031177Z [2022-11-23 01:23:01,237] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5031417Z [2022-11-23 01:23:01,239] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5031664Z [2022-11-23 01:23:01,244] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5031850Z [2022-11-23 01:23:01,245] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5031982Z  __compiled_fn_55 <eval_with_key>.354 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5032072Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5032212Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 1, 1, 1], 6.0), {}
2022-11-23T01:30:19.5032355Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4], 99.0), {}
2022-11-23T01:30:19.5032485Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:30:19.5032492Z 
2022-11-23T01:30:19.5032815Z [2022-11-23 01:23:01,246] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5032897Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5032987Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5033073Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5033164Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5033247Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5033331Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5033405Z              12 RETURN_VALUE
2022-11-23T01:30:19.5033411Z 
2022-11-23T01:30:19.5033459Z  
2022-11-23T01:30:19.5033776Z [2022-11-23 01:23:01,246] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5033994Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_55)
2022-11-23T01:30:19.5034089Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5034179Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5034254Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5034341Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5034445Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5034531Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5034620Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5034696Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5034797Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5034884Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5034958Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.5035073Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.5035134Z              26 RETURN_VALUE
2022-11-23T01:30:19.5035139Z 
2022-11-23T01:30:19.5035200Z  
2022-11-23T01:30:19.5035389Z [2022-11-23 01:23:01,247] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5035459Z  - 
2022-11-23T01:30:19.5035576Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5035639Z             {
2022-11-23T01:30:19.5035778Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5035953Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5036070Z                 'obj_weakref': None
2022-11-23T01:30:19.5036292Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5036355Z             }
2022-11-23T01:30:19.5036418Z             
2022-11-23T01:30:19.5036485Z  - 
2022-11-23T01:30:19.5036608Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5036660Z             {
2022-11-23T01:30:19.5036800Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5036904Z                 'code': None,
2022-11-23T01:30:19.5037118Z                 'obj_weakref': <weakref at 0x7ff58fc17d80; to 'Tensor' at 0x7ff58fd0a3e0>
2022-11-23T01:30:19.5037371Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5037437Z             }
2022-11-23T01:30:19.5037497Z             
2022-11-23T01:30:19.5037553Z  - 
2022-11-23T01:30:19.5037679Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.5037742Z             {
2022-11-23T01:30:19.5037878Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5038048Z                 'code': ['___check_obj_id(model, 140692659480192)'],
2022-11-23T01:30:19.5038165Z                 'obj_weakref': None
2022-11-23T01:30:19.5038392Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.5038444Z             }
2022-11-23T01:30:19.5038506Z             
2022-11-23T01:30:19.5038573Z  - 
2022-11-23T01:30:19.5038693Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5038756Z             {
2022-11-23T01:30:19.5038888Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5039103Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5039207Z                 'obj_weakref': None
2022-11-23T01:30:19.5039425Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5039487Z             }
2022-11-23T01:30:19.5039549Z             
2022-11-23T01:30:19.5039616Z  - 
2022-11-23T01:30:19.5039743Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.5039804Z             {
2022-11-23T01:30:19.5039910Z                 'guard_types': None,
2022-11-23T01:30:19.5040014Z                 'code': None,
2022-11-23T01:30:19.5040131Z                 'obj_weakref': None
2022-11-23T01:30:19.5040251Z                 'guarded_class': None
2022-11-23T01:30:19.5040312Z             }
2022-11-23T01:30:19.5040373Z             
2022-11-23T01:30:19.5040658Z [2022-11-23 01:23:01,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 54
2022-11-23T01:30:19.5041015Z [2022-11-23 01:23:02,725] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jf/cjfwqtvxun4b4eobosku4yxipukk2hlw6hup35pr2pnqq3w3kppb.py
2022-11-23T01:30:19.5041273Z [2022-11-23 01:23:02,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 54
2022-11-23T01:30:19.5041279Z 
2022-11-23T01:30:19.5041370Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5041438Z import torch
2022-11-23T01:30:19.5041505Z import random
2022-11-23T01:30:19.5041617Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5041735Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5041779Z 
2022-11-23T01:30:19.5041857Z aten = torch.ops.aten
2022-11-23T01:30:19.5041977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5042067Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5042075Z 
2022-11-23T01:30:19.5042080Z 
2022-11-23T01:30:19.5042214Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5042419Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5042540Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5042641Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.5042738Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.5042801Z {
2022-11-23T01:30:19.5042887Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5042949Z     {
2022-11-23T01:30:19.5043027Z         #pragma omp for 
2022-11-23T01:30:19.5043111Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:19.5043176Z         {
2022-11-23T01:30:19.5043258Z             #pragma GCC ivdep
2022-11-23T01:30:19.5043345Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:19.5043396Z             {
2022-11-23T01:30:19.5043462Z                 {
2022-11-23T01:30:19.5043532Z                     {
2022-11-23T01:30:19.5043699Z                         auto tmp0 = static_cast<long>((-1) + i0);
2022-11-23T01:30:19.5043808Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:19.5043903Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:19.5044006Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:30:19.5044089Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:19.5044259Z                         auto tmp5 = static_cast<long>((-1) + i1);
2022-11-23T01:30:19.5044355Z                         auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:30:19.5044450Z                         auto tmp7 = tmp5 < tmp3;
2022-11-23T01:30:19.5044541Z                         auto tmp8 = tmp2 & tmp4;
2022-11-23T01:30:19.5044636Z                         auto tmp9 = tmp8 & tmp6;
2022-11-23T01:30:19.5044728Z                         auto tmp10 = tmp9 & tmp7;
2022-11-23T01:30:19.5044807Z                         float tmp11 = 6.0;
2022-11-23T01:30:19.5044888Z                         if(tmp10)
2022-11-23T01:30:19.5044959Z                         {
2022-11-23T01:30:19.5045130Z                             auto tmp12 = in_ptr0[(-9) + i1 + (8*i0)];
2022-11-23T01:30:19.5045216Z                             tmp11 = tmp12;
2022-11-23T01:30:19.5045287Z                         }
2022-11-23T01:30:19.5045384Z                         out_ptr0[i1 + (10*i0)] = tmp11;
2022-11-23T01:30:19.5045437Z                     }
2022-11-23T01:30:19.5045503Z                 }
2022-11-23T01:30:19.5045570Z             }
2022-11-23T01:30:19.5045634Z         }
2022-11-23T01:30:19.5045713Z         #pragma omp for 
2022-11-23T01:30:19.5045796Z         for(long i0=0; i0<15; i0+=1)
2022-11-23T01:30:19.5045860Z         {
2022-11-23T01:30:19.5045927Z             #pragma GCC ivdep
2022-11-23T01:30:19.5046015Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:30:19.5046080Z             {
2022-11-23T01:30:19.5046147Z                 {
2022-11-23T01:30:19.5046243Z                     {
2022-11-23T01:30:19.5046412Z                         auto tmp0 = static_cast<long>((-3) + i0);
2022-11-23T01:30:19.5046503Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:19.5046599Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:19.5046700Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:30:19.5046797Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:19.5046962Z                         auto tmp5 = static_cast<long>((-1) + i1);
2022-11-23T01:30:19.5047052Z                         auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:30:19.5047142Z                         auto tmp7 = tmp5 < tmp3;
2022-11-23T01:30:19.5047231Z                         auto tmp8 = tmp2 & tmp4;
2022-11-23T01:30:19.5047309Z                         auto tmp9 = tmp8 & tmp6;
2022-11-23T01:30:19.5047427Z                         auto tmp10 = tmp9 & tmp7;
2022-11-23T01:30:19.5047515Z                         float tmp11 = 99.0;
2022-11-23T01:30:19.5047597Z                         if(tmp10)
2022-11-23T01:30:19.5047667Z                         {
2022-11-23T01:30:19.5047834Z                             auto tmp12 = in_ptr0[(-25) + i1 + (8*i0)];
2022-11-23T01:30:19.5047916Z                             tmp11 = tmp12;
2022-11-23T01:30:19.5047972Z                         }
2022-11-23T01:30:19.5048064Z                         out_ptr1[i1 + (11*i0)] = tmp11;
2022-11-23T01:30:19.5048129Z                     }
2022-11-23T01:30:19.5048192Z                 }
2022-11-23T01:30:19.5048254Z             }
2022-11-23T01:30:19.5048316Z         }
2022-11-23T01:30:19.5048376Z     }
2022-11-23T01:30:19.5048423Z }
2022-11-23T01:30:19.5048498Z ''')
2022-11-23T01:30:19.5048504Z 
2022-11-23T01:30:19.5048508Z 
2022-11-23T01:30:19.5048596Z async_compile.wait(globals())
2022-11-23T01:30:19.5048668Z del async_compile
2022-11-23T01:30:19.5048673Z 
2022-11-23T01:30:19.5048743Z def call(args):
2022-11-23T01:30:19.5048811Z     arg0_1, = args
2022-11-23T01:30:19.5048880Z     args.clear()
2022-11-23T01:30:19.5049089Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5049300Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5049464Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.5049534Z     del arg0_1
2022-11-23T01:30:19.5049611Z     return (buf0, buf1, )
2022-11-23T01:30:19.5049616Z 
2022-11-23T01:30:19.5049620Z 
2022-11-23T01:30:19.5049695Z if __name__ == "__main__":
2022-11-23T01:30:19.5049809Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5049928Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5050128Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5050235Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.5050241Z 
2022-11-23T01:30:19.5050306Z ok (1.521s)
2022-11-23T01:30:19.5050622Z   test_constant_pad_3d_cpu (__main__.CpuTests) ... [2022-11-23 01:23:02,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5050939Z [2022-11-23 01:23:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5051153Z [2022-11-23 01:23:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5051403Z [2022-11-23 01:23:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.5051677Z [2022-11-23 01:23:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.5051993Z [2022-11-23 01:23:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5052354Z [2022-11-23 01:23:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5052677Z [2022-11-23 01:23:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5053050Z [2022-11-23 01:23:02,731] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e1370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136> 
2022-11-23T01:30:19.5053144Z  3138           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.5053249Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:30:19.5053338Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.5053454Z                6 BUILD_LIST               0
2022-11-23T01:30:19.5053553Z                8 LOAD_CONST               1 ((1, 2, 3, 4, 5, 6))
2022-11-23T01:30:19.5053641Z               10 LIST_EXTEND              1
2022-11-23T01:30:19.5053720Z               12 LOAD_CONST               2 (6.0)
2022-11-23T01:30:19.5053806Z               14 CALL_METHOD              3
2022-11-23T01:30:19.5053810Z 
2022-11-23T01:30:19.5053901Z 3139          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.5054004Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:30:19.5054092Z               20 LOAD_FAST                0 (a)
2022-11-23T01:30:19.5054176Z               22 BUILD_LIST               0
2022-11-23T01:30:19.5054273Z               24 LOAD_CONST               3 ((0, 0, 3, 4, 0, 0))
2022-11-23T01:30:19.5054347Z               26 LIST_EXTEND              1
2022-11-23T01:30:19.5054435Z               28 LOAD_CONST               2 (6.0)
2022-11-23T01:30:19.5054519Z               30 CALL_METHOD              3
2022-11-23T01:30:19.5054526Z 
2022-11-23T01:30:19.5054610Z 3137          32 BUILD_TUPLE              2
2022-11-23T01:30:19.5054684Z               34 RETURN_VALUE
2022-11-23T01:30:19.5054746Z  
2022-11-23T01:30:19.5054753Z 
2022-11-23T01:30:19.5055066Z [2022-11-23 01:23:02,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3138
2022-11-23T01:30:19.5055280Z [2022-11-23 01:23:02,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.5055600Z [2022-11-23 01:23:02,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5055852Z [2022-11-23 01:23:02,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:30:19.5056149Z [2022-11-23 01:23:02,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:30:19.5056656Z [2022-11-23 01:23:02,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4, 5, 6) [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5057064Z [2022-11-23 01:23:02,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5057384Z [2022-11-23 01:23:02,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5057748Z [2022-11-23 01:23:02,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.5058063Z [2022-11-23 01:23:02,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3139
2022-11-23T01:30:19.5058310Z [2022-11-23 01:23:02,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.5058725Z [2022-11-23 01:23:02,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5059020Z [2022-11-23 01:23:02,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:30:19.5059337Z [2022-11-23 01:23:02,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:30:19.5059684Z [2022-11-23 01:23:02,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 3, 4, 0, 0) [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5060082Z [2022-11-23 01:23:02,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5060482Z [2022-11-23 01:23:02,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5060876Z [2022-11-23 01:23:02,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.5061188Z [2022-11-23 01:23:02,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3137
2022-11-23T01:30:19.5061453Z [2022-11-23 01:23:02,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.5061695Z [2022-11-23 01:23:02,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5062074Z [2022-11-23 01:23:02,747] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e1370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3136>
2022-11-23T01:30:19.5062315Z [2022-11-23 01:23:02,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5062548Z [2022-11-23 01:23:02,747] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5062800Z [2022-11-23 01:23:02,748] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5063046Z [2022-11-23 01:23:02,751] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5063223Z [2022-11-23 01:23:02,751] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5063355Z  __compiled_fn_56 <eval_with_key>.360 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5063445Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5063589Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4, 5, 6], 6.0), {}
2022-11-23T01:30:19.5063733Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [0, 0, 3, 4, 0, 0], 6.0), {}
2022-11-23T01:30:19.5063862Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:30:19.5063867Z 
2022-11-23T01:30:19.5064188Z [2022-11-23 01:23:02,752] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5064280Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5064357Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5064441Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5064531Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5064616Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5064703Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5064780Z              12 RETURN_VALUE
2022-11-23T01:30:19.5064785Z 
2022-11-23T01:30:19.5064844Z  
2022-11-23T01:30:19.5065206Z [2022-11-23 01:23:02,752] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5065301Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_56)
2022-11-23T01:30:19.5065390Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5065481Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5065558Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5065642Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5065743Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5065845Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5065920Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5065996Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5066123Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5066209Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5066282Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.5066369Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.5066443Z              26 RETURN_VALUE
2022-11-23T01:30:19.5066448Z 
2022-11-23T01:30:19.5066496Z  
2022-11-23T01:30:19.5066677Z [2022-11-23 01:23:02,752] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5066746Z  - 
2022-11-23T01:30:19.5066863Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5066927Z             {
2022-11-23T01:30:19.5067069Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5067254Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5067359Z                 'obj_weakref': None
2022-11-23T01:30:19.5067581Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5067647Z             }
2022-11-23T01:30:19.5067710Z             
2022-11-23T01:30:19.5067780Z  - 
2022-11-23T01:30:19.5067901Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5067964Z             {
2022-11-23T01:30:19.5068093Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5068198Z                 'code': None,
2022-11-23T01:30:19.5068406Z                 'obj_weakref': <weakref at 0x7ff58fc8f4c0; to 'Tensor' at 0x7ff58fdf3dd0>
2022-11-23T01:30:19.5068657Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5068719Z             }
2022-11-23T01:30:19.5068781Z             
2022-11-23T01:30:19.5068849Z  - 
2022-11-23T01:30:19.5068966Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.5069027Z             {
2022-11-23T01:30:19.5069159Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5069325Z                 'code': ['___check_obj_id(model, 140692659479904)'],
2022-11-23T01:30:19.5069444Z                 'obj_weakref': None
2022-11-23T01:30:19.5069672Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.5069736Z             }
2022-11-23T01:30:19.5069786Z             
2022-11-23T01:30:19.5069853Z  - 
2022-11-23T01:30:19.5069971Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5070035Z             {
2022-11-23T01:30:19.5070169Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5070383Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5070497Z                 'obj_weakref': None
2022-11-23T01:30:19.5070701Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5070762Z             }
2022-11-23T01:30:19.5070822Z             
2022-11-23T01:30:19.5070889Z  - 
2022-11-23T01:30:19.5071016Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.5071079Z             {
2022-11-23T01:30:19.5071197Z                 'guard_types': None,
2022-11-23T01:30:19.5071289Z                 'code': None,
2022-11-23T01:30:19.5071403Z                 'obj_weakref': None
2022-11-23T01:30:19.5071550Z                 'guarded_class': None
2022-11-23T01:30:19.5071613Z             }
2022-11-23T01:30:19.5071676Z             
2022-11-23T01:30:19.5071935Z [2022-11-23 01:23:02,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 55
2022-11-23T01:30:19.5072306Z [2022-11-23 01:23:04,242] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xv/cxvauyvitiqsnjgbrxe4nysdjgqytbdotnjq4t5hh544q33vjsm2.py
2022-11-23T01:30:19.5072566Z [2022-11-23 01:23:04,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 55
2022-11-23T01:30:19.5072572Z 
2022-11-23T01:30:19.5072652Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5072721Z import torch
2022-11-23T01:30:19.5072789Z import random
2022-11-23T01:30:19.5072931Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5073049Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5073054Z 
2022-11-23T01:30:19.5073133Z aten = torch.ops.aten
2022-11-23T01:30:19.5073264Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5073343Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5073348Z 
2022-11-23T01:30:19.5073364Z 
2022-11-23T01:30:19.5073485Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5073689Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5073887Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5073989Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.5074084Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.5074143Z {
2022-11-23T01:30:19.5074244Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5074294Z     {
2022-11-23T01:30:19.5074386Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.5074466Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.5074529Z         {
2022-11-23T01:30:19.5074615Z             for(long i1=0; i1<15; i1+=1)
2022-11-23T01:30:19.5074681Z             {
2022-11-23T01:30:19.5074763Z                 #pragma GCC ivdep
2022-11-23T01:30:19.5074838Z                 for(long i2=0; i2<11; i2+=1)
2022-11-23T01:30:19.5074903Z                 {
2022-11-23T01:30:19.5074987Z                     #pragma GCC ivdep
2022-11-23T01:30:19.5075077Z                     for(long i3=0; i3<7; i3+=1)
2022-11-23T01:30:19.5075144Z                     {
2022-11-23T01:30:19.5075213Z                         {
2022-11-23T01:30:19.5075271Z                             {
2022-11-23T01:30:19.5075449Z                                 auto tmp0 = static_cast<long>((-5) + i1);
2022-11-23T01:30:19.5075558Z                                 auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:19.5075655Z                                 auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:19.5075762Z                                 auto tmp3 = static_cast<long>(4);
2022-11-23T01:30:19.5075858Z                                 auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:19.5076035Z                                 auto tmp5 = static_cast<long>((-3) + i2);
2022-11-23T01:30:19.5076134Z                                 auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:30:19.5076219Z                                 auto tmp7 = tmp5 < tmp3;
2022-11-23T01:30:19.5076390Z                                 auto tmp8 = static_cast<long>((-1) + i3);
2022-11-23T01:30:19.5076486Z                                 auto tmp9 = tmp8 >= tmp1;
2022-11-23T01:30:19.5076581Z                                 auto tmp10 = tmp8 < tmp3;
2022-11-23T01:30:19.5076674Z                                 auto tmp11 = tmp2 & tmp4;
2022-11-23T01:30:19.5076770Z                                 auto tmp12 = tmp11 & tmp6;
2022-11-23T01:30:19.5076866Z                                 auto tmp13 = tmp12 & tmp7;
2022-11-23T01:30:19.5076961Z                                 auto tmp14 = tmp13 & tmp9;
2022-11-23T01:30:19.5077048Z                                 auto tmp15 = tmp14 & tmp10;
2022-11-23T01:30:19.5077202Z                                 float tmp16 = 6.0;
2022-11-23T01:30:19.5077282Z                                 if(tmp15)
2022-11-23T01:30:19.5077355Z                                 {
2022-11-23T01:30:19.5077554Z                                     auto tmp17 = in_ptr0[(-93) + i3 + (4*i2) + (16*i1) + (64*i0)];
2022-11-23T01:30:19.5077642Z                                     tmp16 = tmp17;
2022-11-23T01:30:19.5077713Z                                 }
2022-11-23T01:30:19.5077814Z                                 out_ptr0[i3 + (7*i2) + (77*i1) + (1155*i0)] = tmp16;
2022-11-23T01:30:19.5077883Z                             }
2022-11-23T01:30:19.5077950Z                         }
2022-11-23T01:30:19.5078015Z                     }
2022-11-23T01:30:19.5078079Z                 }
2022-11-23T01:30:19.5078141Z             }
2022-11-23T01:30:19.5078233Z         }
2022-11-23T01:30:19.5078297Z         #pragma omp for 
2022-11-23T01:30:19.5078378Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.5078440Z         {
2022-11-23T01:30:19.5078521Z             #pragma GCC ivdep
2022-11-23T01:30:19.5078604Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:30:19.5078666Z             {
2022-11-23T01:30:19.5078733Z                 #pragma GCC ivdep
2022-11-23T01:30:19.5078821Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:30:19.5078884Z                 {
2022-11-23T01:30:19.5078948Z                     {
2022-11-23T01:30:19.5079014Z                         {
2022-11-23T01:30:19.5079184Z                             auto tmp0 = static_cast<long>((-3) + i1);
2022-11-23T01:30:19.5079288Z                             auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:19.5079382Z                             auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:19.5079475Z                             auto tmp3 = static_cast<long>(4);
2022-11-23T01:30:19.5079570Z                             auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:19.5079663Z                             auto tmp5 = tmp2 & tmp4;
2022-11-23T01:30:19.5079752Z                             float tmp6 = 6.0;
2022-11-23T01:30:19.5079828Z                             if(tmp5)
2022-11-23T01:30:19.5079900Z                             {
2022-11-23T01:30:19.5080085Z                                 auto tmp7 = in_ptr0[(-12) + i2 + (4*i1) + (16*i0)];
2022-11-23T01:30:19.5080159Z                                 tmp6 = tmp7;
2022-11-23T01:30:19.5080230Z                             }
2022-11-23T01:30:19.5080333Z                             out_ptr1[i2 + (4*i1) + (44*i0)] = tmp6;
2022-11-23T01:30:19.5080404Z                         }
2022-11-23T01:30:19.5080473Z                     }
2022-11-23T01:30:19.5080539Z                 }
2022-11-23T01:30:19.5080603Z             }
2022-11-23T01:30:19.5080653Z         }
2022-11-23T01:30:19.5080716Z     }
2022-11-23T01:30:19.5080777Z }
2022-11-23T01:30:19.5080858Z ''')
2022-11-23T01:30:19.5080864Z 
2022-11-23T01:30:19.5080869Z 
2022-11-23T01:30:19.5080958Z async_compile.wait(globals())
2022-11-23T01:30:19.5081034Z del async_compile
2022-11-23T01:30:19.5081041Z 
2022-11-23T01:30:19.5081112Z def call(args):
2022-11-23T01:30:19.5081170Z     arg0_1, = args
2022-11-23T01:30:19.5081241Z     args.clear()
2022-11-23T01:30:19.5081461Z     buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5081674Z     buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5081837Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.5081907Z     del arg0_1
2022-11-23T01:30:19.5081985Z     return (buf0, buf1, )
2022-11-23T01:30:19.5081990Z 
2022-11-23T01:30:19.5081994Z 
2022-11-23T01:30:19.5082071Z if __name__ == "__main__":
2022-11-23T01:30:19.5082172Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5082298Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5082509Z     arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5082646Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.5082652Z 
2022-11-23T01:30:19.5082721Z ok (1.517s)
2022-11-23T01:30:19.5083063Z   test_conv2d_backward_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:23:04,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5083380Z [2022-11-23 01:23:04,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5083599Z [2022-11-23 01:23:04,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5083839Z [2022-11-23 01:23:04,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.5084145Z [2022-11-23 01:23:04,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.5084466Z [2022-11-23 01:23:04,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5084815Z [2022-11-23 01:23:04,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5085138Z [2022-11-23 01:23:04,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5085518Z [2022-11-23 01:23:04,267] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d110d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1865> 
2022-11-23T01:30:19.5085615Z  1866           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.5085708Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.5085802Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.5085917Z                6 LOAD_ATTR                3 (convolution_backward)
2022-11-23T01:30:19.5086001Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:30:19.5086006Z 
2022-11-23T01:30:19.5086105Z 1867          10 LOAD_FAST                0 (grad_output)
2022-11-23T01:30:19.5086110Z 
2022-11-23T01:30:19.5086200Z 1868          12 LOAD_FAST                1 (inp)
2022-11-23T01:30:19.5086204Z 
2022-11-23T01:30:19.5086301Z 1869          14 LOAD_FAST                2 (weight)
2022-11-23T01:30:19.5086306Z 
2022-11-23T01:30:19.5086395Z 1870          16 LOAD_CONST               1 (320)
2022-11-23T01:30:19.5086484Z               18 BUILD_LIST               1
2022-11-23T01:30:19.5086489Z 
2022-11-23T01:30:19.5086585Z 1871          20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5086675Z               22 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5086764Z               24 BUILD_LIST               2
2022-11-23T01:30:19.5086769Z 
2022-11-23T01:30:19.5086844Z 1872          26 LOAD_CONST               3 (0)
2022-11-23T01:30:19.5086929Z               28 LOAD_CONST               3 (0)
2022-11-23T01:30:19.5087013Z               30 BUILD_LIST               2
2022-11-23T01:30:19.5087017Z 
2022-11-23T01:30:19.5087101Z 1873          32 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5087188Z               34 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5087270Z               36 BUILD_LIST               2
2022-11-23T01:30:19.5087275Z 
2022-11-23T01:30:19.5087364Z 1874          38 LOAD_CONST               4 (False)
2022-11-23T01:30:19.5087369Z 
2022-11-23T01:30:19.5087451Z 1875          40 LOAD_CONST               3 (0)
2022-11-23T01:30:19.5087524Z               42 LOAD_CONST               3 (0)
2022-11-23T01:30:19.5087608Z               44 BUILD_LIST               2
2022-11-23T01:30:19.5087612Z 
2022-11-23T01:30:19.5087698Z 1876          46 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5087705Z 
2022-11-23T01:30:19.5087789Z 1877          48 BUILD_LIST               0
2022-11-23T01:30:19.5087922Z               50 LOAD_CONST               5 ((True, True, True))
2022-11-23T01:30:19.5088009Z               52 LIST_EXTEND              1
2022-11-23T01:30:19.5088014Z 
2022-11-23T01:30:19.5088096Z 1866          54 CALL_METHOD             11
2022-11-23T01:30:19.5088213Z               56 STORE_FAST               3 (convolution_backward_8)
2022-11-23T01:30:19.5088217Z 
2022-11-23T01:30:19.5088317Z 1879          58 LOAD_FAST                3 (convolution_backward_8)
2022-11-23T01:30:19.5088391Z               60 RETURN_VALUE
2022-11-23T01:30:19.5088451Z  
2022-11-23T01:30:19.5088456Z 
2022-11-23T01:30:19.5088773Z [2022-11-23 01:23:04,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866
2022-11-23T01:30:19.5088989Z [2022-11-23 01:23:04,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.5089377Z [2022-11-23 01:23:04,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.5089667Z [2022-11-23 01:23:04,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.5089997Z [2022-11-23 01:23:04,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5090282Z [2022-11-23 01:23:04,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.convolution_backward)]
2022-11-23T01:30:19.5090590Z [2022-11-23 01:23:04,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1867
2022-11-23T01:30:19.5090882Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.convolution_backward.default)]
2022-11-23T01:30:19.5091193Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1868
2022-11-23T01:30:19.5091513Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inp [TorchVariable(aten.convolution_backward.default), TensorVariable()]
2022-11-23T01:30:19.5091820Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1869
2022-11-23T01:30:19.5092172Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST weight [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.5092476Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1870
2022-11-23T01:30:19.5092856Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 320 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.5093380Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5093689Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1871
2022-11-23T01:30:19.5094086Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.5094526Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5095034Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5095344Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1872
2022-11-23T01:30:19.5095765Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5096215Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5096856Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5097167Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1873
2022-11-23T01:30:19.5097609Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5098092Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5098617Z [2022-11-23 01:23:04,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5098933Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1874
2022-11-23T01:30:19.5099409Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5099717Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1875
2022-11-23T01:30:19.5100231Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.5100773Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:30:19.5101354Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5101665Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1876
2022-11-23T01:30:19.5102250Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:30:19.5102564Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1877
2022-11-23T01:30:19.5103137Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5103794Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:30:19.5104431Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5104746Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1866
2022-11-23T01:30:19.5105351Z [2022-11-23 01:23:04,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 11 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:30:19.5105625Z [2022-11-23 01:23:04,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution_backward_8 [TupleVariable()]
2022-11-23T01:30:19.5105932Z [2022-11-23 01:23:04,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1879
2022-11-23T01:30:19.5106165Z [2022-11-23 01:23:04,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution_backward_8 []
2022-11-23T01:30:19.5106405Z [2022-11-23 01:23:04,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5106778Z [2022-11-23 01:23:04,279] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d110d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1865>
2022-11-23T01:30:19.5107023Z [2022-11-23 01:23:04,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5107255Z [2022-11-23 01:23:04,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5107506Z [2022-11-23 01:23:04,281] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5107752Z [2022-11-23 01:23:04,284] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5107937Z [2022-11-23 01:23:04,285] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5108070Z  __compiled_fn_57 <eval_with_key>.366 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5108147Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5108231Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.5108315Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.5108585Z call_function, convolution_backward_default, aten.convolution_backward.default, (ex_0_, ex_1_, ex_2_, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:30:19.5108815Z call_function, getitem, <built-in function getitem>, (convolution_backward_default, 0), {}
2022-11-23T01:30:19.5109044Z call_function, getitem_1, <built-in function getitem>, (convolution_backward_default, 1), {}
2022-11-23T01:30:19.5109268Z call_function, getitem_2, <built-in function getitem>, (convolution_backward_default, 2), {}
2022-11-23T01:30:19.5109391Z output, output, output, ((getitem, getitem_1, getitem_2),), {}
2022-11-23T01:30:19.5109397Z 
2022-11-23T01:30:19.5109722Z [2022-11-23 01:23:04,285] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5109804Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5109893Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5110007Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5110098Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5110185Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5110271Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5110345Z              12 RETURN_VALUE
2022-11-23T01:30:19.5110350Z 
2022-11-23T01:30:19.5110397Z  
2022-11-23T01:30:19.5110721Z [2022-11-23 01:23:04,285] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5110828Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_57)
2022-11-23T01:30:19.5110919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5111007Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5111082Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5111167Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5111256Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5111319Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.5111404Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5111490Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5111564Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.5111650Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.5111751Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5111851Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5111926Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5112000Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.5112100Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5112184Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5112257Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.5112353Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5112441Z              38 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5112502Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.5112586Z              42 BUILD_TUPLE              3
2022-11-23T01:30:19.5112661Z              44 RETURN_VALUE
2022-11-23T01:30:19.5112666Z 
2022-11-23T01:30:19.5112726Z  
2022-11-23T01:30:19.5112906Z [2022-11-23 01:23:04,286] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5112974Z  - 
2022-11-23T01:30:19.5113092Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5113143Z             {
2022-11-23T01:30:19.5113281Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5113467Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.5113584Z                 'obj_weakref': None
2022-11-23T01:30:19.5113871Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5113937Z             }
2022-11-23T01:30:19.5114000Z             
2022-11-23T01:30:19.5114060Z  - 
2022-11-23T01:30:19.5114183Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5114244Z             {
2022-11-23T01:30:19.5114419Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5114527Z                 'code': None,
2022-11-23T01:30:19.5114739Z                 'obj_weakref': <weakref at 0x7ff58fcb9ee0; to 'Tensor' at 0x7ff58fd50fe0>
2022-11-23T01:30:19.5114990Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5115054Z             }
2022-11-23T01:30:19.5115105Z             
2022-11-23T01:30:19.5115174Z  - 
2022-11-23T01:30:19.5115297Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.5115361Z             {
2022-11-23T01:30:19.5115503Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5115607Z                 'code': None,
2022-11-23T01:30:19.5115805Z                 'obj_weakref': <weakref at 0x7ff58fc4eca0; to 'Tensor' at 0x7ff58fdc22f0>
2022-11-23T01:30:19.5116085Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5116147Z             }
2022-11-23T01:30:19.5116214Z             
2022-11-23T01:30:19.5116284Z  - 
2022-11-23T01:30:19.5116405Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.5116467Z             {
2022-11-23T01:30:19.5116595Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5116697Z                 'code': None,
2022-11-23T01:30:19.5116903Z                 'obj_weakref': <weakref at 0x7ff58fc4cf90; to 'Tensor' at 0x7ff58fc8f7e0>
2022-11-23T01:30:19.5117153Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5117215Z             }
2022-11-23T01:30:19.5117277Z             
2022-11-23T01:30:19.5117343Z  - 
2022-11-23T01:30:19.5117460Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.5117522Z             {
2022-11-23T01:30:19.5117657Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5117825Z                 'code': ['___check_obj_id(model, 140692659479904)'],
2022-11-23T01:30:19.5117944Z                 'obj_weakref': None
2022-11-23T01:30:19.5118172Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.5118236Z             }
2022-11-23T01:30:19.5118286Z             
2022-11-23T01:30:19.5118357Z  - 
2022-11-23T01:30:19.5118475Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5118538Z             {
2022-11-23T01:30:19.5118671Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5118885Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5119002Z                 'obj_weakref': None
2022-11-23T01:30:19.5119209Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5119271Z             }
2022-11-23T01:30:19.5119337Z             
2022-11-23T01:30:19.5119403Z  - 
2022-11-23T01:30:19.5119533Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.5119595Z             {
2022-11-23T01:30:19.5119713Z                 'guard_types': None,
2022-11-23T01:30:19.5119806Z                 'code': None,
2022-11-23T01:30:19.5119922Z                 'obj_weakref': None
2022-11-23T01:30:19.5120039Z                 'guarded_class': None
2022-11-23T01:30:19.5120102Z             }
2022-11-23T01:30:19.5120163Z             
2022-11-23T01:30:19.5120417Z [2022-11-23 01:23:04,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 56
2022-11-23T01:30:19.5120783Z [2022-11-23 01:23:05,782] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmj7idzz6dyrcn5n5rble5enqjenx7exx7ya5p2z5ogkdqehonnj.py
2022-11-23T01:30:19.5121045Z [2022-11-23 01:23:05,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 56
2022-11-23T01:30:19.5121053Z 
2022-11-23T01:30:19.5121134Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5121202Z import torch
2022-11-23T01:30:19.5121270Z import random
2022-11-23T01:30:19.5121416Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5121537Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5121542Z 
2022-11-23T01:30:19.5121619Z aten = torch.ops.aten
2022-11-23T01:30:19.5121749Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5121827Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5121844Z 
2022-11-23T01:30:19.5121849Z 
2022-11-23T01:30:19.5121970Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5122174Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5122292Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5122396Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.5122495Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.5122618Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.5122683Z {
2022-11-23T01:30:19.5122772Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5122833Z     {
2022-11-23T01:30:19.5122922Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.5123001Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.5123064Z         {
2022-11-23T01:30:19.5123149Z             for(long i1=0; i1<320; i1+=1)
2022-11-23T01:30:19.5123213Z             {
2022-11-23T01:30:19.5123282Z                 #pragma GCC ivdep
2022-11-23T01:30:19.5123369Z                 for(long i2=0; i2<64; i2+=1)
2022-11-23T01:30:19.5123432Z                 {
2022-11-23T01:30:19.5123496Z                     {
2022-11-23T01:30:19.5123563Z                         {
2022-11-23T01:30:19.5123674Z                             auto tmp0 = in_ptr0[i2 + (64*i1) + (20480*i0)];
2022-11-23T01:30:19.5123779Z                             out_ptr0[i1 + (320*i2) + (20480*i0)] = tmp0;
2022-11-23T01:30:19.5123836Z                         }
2022-11-23T01:30:19.5123900Z                     }
2022-11-23T01:30:19.5123964Z                 }
2022-11-23T01:30:19.5124027Z             }
2022-11-23T01:30:19.5124088Z         }
2022-11-23T01:30:19.5124176Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.5124255Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.5124304Z         {
2022-11-23T01:30:19.5124390Z             for(long i1=0; i1<2048; i1+=1)
2022-11-23T01:30:19.5124453Z             {
2022-11-23T01:30:19.5124533Z                 #pragma GCC ivdep
2022-11-23T01:30:19.5124618Z                 for(long i2=0; i2<64; i2+=1)
2022-11-23T01:30:19.5124680Z                 {
2022-11-23T01:30:19.5124732Z                     {
2022-11-23T01:30:19.5124798Z                         {
2022-11-23T01:30:19.5124911Z                             auto tmp0 = in_ptr1[i2 + (64*i1) + (131072*i0)];
2022-11-23T01:30:19.5125016Z                             out_ptr1[i1 + (2048*i2) + (131072*i0)] = tmp0;
2022-11-23T01:30:19.5125084Z                         }
2022-11-23T01:30:19.5125147Z                     }
2022-11-23T01:30:19.5125210Z                 }
2022-11-23T01:30:19.5125259Z             }
2022-11-23T01:30:19.5125321Z         }
2022-11-23T01:30:19.5125380Z     }
2022-11-23T01:30:19.5125438Z }
2022-11-23T01:30:19.5125516Z ''')
2022-11-23T01:30:19.5125521Z 
2022-11-23T01:30:19.5125525Z 
2022-11-23T01:30:19.5125614Z async_compile.wait(globals())
2022-11-23T01:30:19.5125684Z del async_compile
2022-11-23T01:30:19.5125689Z 
2022-11-23T01:30:19.5125746Z def call(args):
2022-11-23T01:30:19.5125826Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.5125896Z     args.clear()
2022-11-23T01:30:19.5126120Z     buf0 = empty_strided((2, 320, 8, 8), (20480, 1, 2560, 320), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5126350Z     buf1 = empty_strided((2, 2048, 8, 8), (131072, 1, 16384, 2048), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5126539Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.5126613Z     del arg0_1
2022-11-23T01:30:19.5126680Z     del arg1_1
2022-11-23T01:30:19.5126861Z     buf2 = aten.convolution_backward(buf0, buf1, arg2_1, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T01:30:19.5126930Z     del arg2_1
2022-11-23T01:30:19.5126993Z     del buf0
2022-11-23T01:30:19.5127058Z     del buf1
2022-11-23T01:30:19.5127128Z     buf3 = buf2[0]
2022-11-23T01:30:19.5127242Z     assert_size_stride(buf3, (2, 2048, 8, 8), (131072, 1, 16384, 2048))
2022-11-23T01:30:19.5127312Z     buf4 = buf2[1]
2022-11-23T01:30:19.5127412Z     assert_size_stride(buf4, (320, 2048, 1, 1), (2048, 1, 2048, 2048))
2022-11-23T01:30:19.5127481Z     buf5 = buf2[2]
2022-11-23T01:30:19.5127578Z     assert_size_stride(buf5, (320, ), (1, ))
2022-11-23T01:30:19.5127645Z     del buf2
2022-11-23T01:30:19.5127729Z     return (buf3, buf4, buf5, )
2022-11-23T01:30:19.5127736Z 
2022-11-23T01:30:19.5127768Z 
2022-11-23T01:30:19.5127846Z if __name__ == "__main__":
2022-11-23T01:30:19.5127962Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5128073Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5128294Z     arg0_1 = rand_strided((2, 320, 8, 8), (20480, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5128516Z     arg1_1 = rand_strided((2, 2048, 8, 8), (131072, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5128741Z     arg2_1 = rand_strided((320, 2048, 1, 1), (2048, 1, 2048, 2048), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5128863Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.5128868Z 
2022-11-23T01:30:19.5128938Z ok (1.557s)
2022-11-23T01:30:19.5129129Z   test_conv2d_binary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:30:19.5129457Z   test_conv2d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:23:05,807] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5129780Z [2022-11-23 01:23:05,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5130002Z [2022-11-23 01:23:05,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5130233Z [2022-11-23 01:23:05,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5130503Z [2022-11-23 01:23:05,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5130819Z [2022-11-23 01:23:05,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5131154Z [2022-11-23 01:23:05,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5131473Z [2022-11-23 01:23:05,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5131857Z [2022-11-23 01:23:05,811] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.5131953Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.5132043Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.5132123Z               4 RETURN_VALUE
2022-11-23T01:30:19.5132171Z  
2022-11-23T01:30:19.5132176Z 
2022-11-23T01:30:19.5132489Z [2022-11-23 01:23:05,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.5132698Z [2022-11-23 01:23:05,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.5132940Z [2022-11-23 01:23:05,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.5133216Z [2022-11-23 01:23:05,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5133603Z [2022-11-23 01:23:05,812] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.5133848Z [2022-11-23 01:23:05,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5134082Z [2022-11-23 01:23:05,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5134335Z [2022-11-23 01:23:05,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5134568Z [2022-11-23 01:23:05,817] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5134787Z [2022-11-23 01:23:05,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5134921Z  __compiled_fn_58 <eval_with_key>.372 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5135014Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5135115Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5135216Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5135221Z 
2022-11-23T01:30:19.5135547Z [2022-11-23 01:23:05,818] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5135639Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5135746Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5135854Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5135971Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5136059Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5136149Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5136224Z              12 RETURN_VALUE
2022-11-23T01:30:19.5136229Z 
2022-11-23T01:30:19.5136288Z  
2022-11-23T01:30:19.5136729Z [2022-11-23 01:23:05,818] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5136825Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_58)
2022-11-23T01:30:19.5136917Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5137005Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5137080Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5137167Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5137270Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5137369Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5137445Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5137523Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5137609Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.5137684Z              20 RETURN_VALUE
2022-11-23T01:30:19.5137689Z 
2022-11-23T01:30:19.5137751Z  
2022-11-23T01:30:19.5137932Z [2022-11-23 01:23:05,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5138001Z  - 
2022-11-23T01:30:19.5138107Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5138169Z             {
2022-11-23T01:30:19.5138308Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5138494Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5138612Z                 'obj_weakref': None
2022-11-23T01:30:19.5138834Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5138897Z             }
2022-11-23T01:30:19.5138958Z             
2022-11-23T01:30:19.5139014Z  - 
2022-11-23T01:30:19.5139136Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5139200Z             {
2022-11-23T01:30:19.5139339Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5139443Z                 'code': None,
2022-11-23T01:30:19.5139714Z                 'obj_weakref': <weakref at 0x7ff58fc17ce0; to 'Tensor' at 0x7ff58fcb83b0>
2022-11-23T01:30:19.5139967Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5140018Z             }
2022-11-23T01:30:19.5140083Z             
2022-11-23T01:30:19.5140154Z  - 
2022-11-23T01:30:19.5140274Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5140335Z             {
2022-11-23T01:30:19.5140468Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5140622Z                 'code': ['___check_obj_id(model, 140693070785904)'],
2022-11-23T01:30:19.5140842Z                 'obj_weakref': <weakref at 0x7ff58fc8dad0; to 'Sequential' at 0x7ff5a881ad70>
2022-11-23T01:30:19.5141074Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5141173Z             }
2022-11-23T01:30:19.5141238Z             
2022-11-23T01:30:19.5141308Z  - 
2022-11-23T01:30:19.5141432Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5141496Z             {
2022-11-23T01:30:19.5141619Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5141838Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5141955Z                 'obj_weakref': None
2022-11-23T01:30:19.5142174Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5142236Z             }
2022-11-23T01:30:19.5142297Z             
2022-11-23T01:30:19.5142364Z  - 
2022-11-23T01:30:19.5142495Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5142556Z             {
2022-11-23T01:30:19.5142674Z                 'guard_types': None,
2022-11-23T01:30:19.5142781Z                 'code': None,
2022-11-23T01:30:19.5142897Z                 'obj_weakref': None
2022-11-23T01:30:19.5143015Z                 'guarded_class': None
2022-11-23T01:30:19.5143067Z             }
2022-11-23T01:30:19.5143129Z             
2022-11-23T01:30:19.5143195Z  - 
2022-11-23T01:30:19.5143339Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5143400Z             {
2022-11-23T01:30:19.5143516Z                 'guard_types': None,
2022-11-23T01:30:19.5143620Z                 'code': None,
2022-11-23T01:30:19.5143724Z                 'obj_weakref': None
2022-11-23T01:30:19.5143841Z                 'guarded_class': None
2022-11-23T01:30:19.5143904Z             }
2022-11-23T01:30:19.5143964Z             
2022-11-23T01:30:19.5144217Z [2022-11-23 01:23:05,836] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 57
2022-11-23T01:30:19.5144582Z [2022-11-23 01:23:07,244] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmxzwm6wyqg4w2xfl3jdzgcu6ieosxa5kcqv2i4ydfck763kv6j.py
2022-11-23T01:30:19.5144849Z [2022-11-23 01:23:07,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 57
2022-11-23T01:30:19.5145085Z [2022-11-23 01:23:07,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5145384Z [2022-11-23 01:23:07,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5145598Z [2022-11-23 01:23:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5145837Z [2022-11-23 01:23:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5146100Z [2022-11-23 01:23:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5146408Z [2022-11-23 01:23:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5146778Z [2022-11-23 01:23:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5147087Z [2022-11-23 01:23:07,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5147469Z [2022-11-23 01:23:07,253] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.5147560Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.5147648Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.5147711Z               4 RETURN_VALUE
2022-11-23T01:30:19.5147770Z  
2022-11-23T01:30:19.5147775Z 
2022-11-23T01:30:19.5148087Z [2022-11-23 01:23:07,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.5148321Z [2022-11-23 01:23:07,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.5148564Z [2022-11-23 01:23:07,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.5148807Z [2022-11-23 01:23:07,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5149188Z [2022-11-23 01:23:07,253] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.5149430Z [2022-11-23 01:23:07,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5149663Z [2022-11-23 01:23:07,253] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5149902Z [2022-11-23 01:23:07,254] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5150155Z [2022-11-23 01:23:07,258] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5150341Z [2022-11-23 01:23:07,259] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5150473Z  __compiled_fn_59 <eval_with_key>.383 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5150561Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5150657Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5150755Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5150761Z 
2022-11-23T01:30:19.5151082Z [2022-11-23 01:23:07,259] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5151164Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5151254Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5151341Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5151432Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5151519Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5151606Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5151682Z              12 RETURN_VALUE
2022-11-23T01:30:19.5151687Z 
2022-11-23T01:30:19.5151749Z  
2022-11-23T01:30:19.5152054Z [2022-11-23 01:23:07,259] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5152160Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_59)
2022-11-23T01:30:19.5152248Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5152336Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5152411Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5152496Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5152597Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5152687Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5152776Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5152891Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5152978Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.5153052Z              20 RETURN_VALUE
2022-11-23T01:30:19.5153057Z 
2022-11-23T01:30:19.5153116Z  
2022-11-23T01:30:19.5153296Z [2022-11-23 01:23:07,260] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5153364Z  - 
2022-11-23T01:30:19.5153469Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5153531Z             {
2022-11-23T01:30:19.5153670Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5153946Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5154069Z                 'obj_weakref': None
2022-11-23T01:30:19.5154293Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5154404Z             }
2022-11-23T01:30:19.5154455Z             
2022-11-23T01:30:19.5154524Z  - 
2022-11-23T01:30:19.5154648Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5154711Z             {
2022-11-23T01:30:19.5154851Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5154955Z                 'code': None,
2022-11-23T01:30:19.5155153Z                 'obj_weakref': <weakref at 0x7ff58fdc2200; to 'Tensor' at 0x7ff58fdf3dd0>
2022-11-23T01:30:19.5155402Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5155464Z             }
2022-11-23T01:30:19.5155526Z             
2022-11-23T01:30:19.5155593Z  - 
2022-11-23T01:30:19.5155712Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5155772Z             {
2022-11-23T01:30:19.5155893Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5156061Z                 'code': ['___check_obj_id(model, 140693070785904)'],
2022-11-23T01:30:19.5156284Z                 'obj_weakref': <weakref at 0x7ff58fc8dad0; to 'Sequential' at 0x7ff5a881ad70>
2022-11-23T01:30:19.5156517Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5156581Z             }
2022-11-23T01:30:19.5156645Z             
2022-11-23T01:30:19.5156712Z  - 
2022-11-23T01:30:19.5156832Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5156881Z             {
2022-11-23T01:30:19.5157015Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5157232Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5157349Z                 'obj_weakref': None
2022-11-23T01:30:19.5157566Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5157628Z             }
2022-11-23T01:30:19.5157689Z             
2022-11-23T01:30:19.5157747Z  - 
2022-11-23T01:30:19.5157890Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5157950Z             {
2022-11-23T01:30:19.5158071Z                 'guard_types': None,
2022-11-23T01:30:19.5158176Z                 'code': None,
2022-11-23T01:30:19.5158291Z                 'obj_weakref': None
2022-11-23T01:30:19.5158398Z                 'guarded_class': None
2022-11-23T01:30:19.5158459Z             }
2022-11-23T01:30:19.5158519Z             
2022-11-23T01:30:19.5158585Z  - 
2022-11-23T01:30:19.5158730Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5158790Z             {
2022-11-23T01:30:19.5158906Z                 'guard_types': None,
2022-11-23T01:30:19.5158997Z                 'code': None,
2022-11-23T01:30:19.5159112Z                 'obj_weakref': None
2022-11-23T01:30:19.5159229Z                 'guarded_class': None
2022-11-23T01:30:19.5159291Z             }
2022-11-23T01:30:19.5159351Z             
2022-11-23T01:30:19.5159609Z [2022-11-23 01:23:07,279] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 58
2022-11-23T01:30:19.5160007Z [2022-11-23 01:23:07,284] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py
2022-11-23T01:30:19.5160270Z [2022-11-23 01:23:07,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 58
2022-11-23T01:30:19.5160493Z [2022-11-23 01:23:07,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5160802Z [2022-11-23 01:23:07,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5161016Z [2022-11-23 01:23:07,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5161256Z [2022-11-23 01:23:07,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5161550Z [2022-11-23 01:23:07,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5161862Z [2022-11-23 01:23:07,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5162195Z [2022-11-23 01:23:07,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5162505Z [2022-11-23 01:23:07,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5162883Z [2022-11-23 01:23:07,291] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.5162974Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.5163052Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.5163128Z               4 RETURN_VALUE
2022-11-23T01:30:19.5163189Z  
2022-11-23T01:30:19.5163195Z 
2022-11-23T01:30:19.5163506Z [2022-11-23 01:23:07,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.5163716Z [2022-11-23 01:23:07,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.5163955Z [2022-11-23 01:23:07,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.5164197Z [2022-11-23 01:23:07,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5164580Z [2022-11-23 01:23:07,292] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.5164822Z [2022-11-23 01:23:07,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5165045Z [2022-11-23 01:23:07,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5165295Z [2022-11-23 01:23:07,293] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5165543Z [2022-11-23 01:23:07,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5165729Z [2022-11-23 01:23:07,297] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5165861Z  __compiled_fn_60 <eval_with_key>.394 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5165949Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5166048Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5166144Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5166150Z 
2022-11-23T01:30:19.5166459Z [2022-11-23 01:23:07,297] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5166555Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5166675Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5166762Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5166853Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5166936Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5167029Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5167103Z              12 RETURN_VALUE
2022-11-23T01:30:19.5167108Z 
2022-11-23T01:30:19.5167155Z  
2022-11-23T01:30:19.5167473Z [2022-11-23 01:23:07,297] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5167580Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_60)
2022-11-23T01:30:19.5167668Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5167784Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5167860Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5167945Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5168036Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5168134Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5168220Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5168297Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5168383Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.5168456Z              20 RETURN_VALUE
2022-11-23T01:30:19.5168462Z 
2022-11-23T01:30:19.5168523Z  
2022-11-23T01:30:19.5168702Z [2022-11-23 01:23:07,298] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5168759Z  - 
2022-11-23T01:30:19.5168875Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5168937Z             {
2022-11-23T01:30:19.5169076Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5169268Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5169388Z                 'obj_weakref': None
2022-11-23T01:30:19.5169617Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5169669Z             }
2022-11-23T01:30:19.5169733Z             
2022-11-23T01:30:19.5169804Z  - 
2022-11-23T01:30:19.5169930Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5169994Z             {
2022-11-23T01:30:19.5170136Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5170230Z                 'code': None,
2022-11-23T01:30:19.5170445Z                 'obj_weakref': <weakref at 0x7ff58fcd5170; to 'Tensor' at 0x7ff58fd24180>
2022-11-23T01:30:19.5170699Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5170764Z             }
2022-11-23T01:30:19.5170831Z             
2022-11-23T01:30:19.5170904Z  - 
2022-11-23T01:30:19.5171024Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5171076Z             {
2022-11-23T01:30:19.5171210Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5171383Z                 'code': ['___check_obj_id(model, 140693070785904)'],
2022-11-23T01:30:19.5171608Z                 'obj_weakref': <weakref at 0x7ff58fc8dad0; to 'Sequential' at 0x7ff5a881ad70>
2022-11-23T01:30:19.5171840Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5171905Z             }
2022-11-23T01:30:19.5171970Z             
2022-11-23T01:30:19.5172039Z  - 
2022-11-23T01:30:19.5172149Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5172212Z             {
2022-11-23T01:30:19.5172350Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5172566Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5172687Z                 'obj_weakref': None
2022-11-23T01:30:19.5172911Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5172976Z             }
2022-11-23T01:30:19.5173053Z             
2022-11-23T01:30:19.5173125Z  - 
2022-11-23T01:30:19.5173270Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5173334Z             {
2022-11-23T01:30:19.5173457Z                 'guard_types': None,
2022-11-23T01:30:19.5173564Z                 'code': None,
2022-11-23T01:30:19.5173667Z                 'obj_weakref': None
2022-11-23T01:30:19.5173788Z                 'guarded_class': None
2022-11-23T01:30:19.5173853Z             }
2022-11-23T01:30:19.5173916Z             
2022-11-23T01:30:19.5173985Z  - 
2022-11-23T01:30:19.5174130Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5174194Z             {
2022-11-23T01:30:19.5174300Z                 'guard_types': None,
2022-11-23T01:30:19.5174405Z                 'code': None,
2022-11-23T01:30:19.5174590Z                 'obj_weakref': None
2022-11-23T01:30:19.5174707Z                 'guarded_class': None
2022-11-23T01:30:19.5174771Z             }
2022-11-23T01:30:19.5174835Z             
2022-11-23T01:30:19.5175095Z [2022-11-23 01:23:07,315] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 59
2022-11-23T01:30:19.5175451Z [2022-11-23 01:23:07,319] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py
2022-11-23T01:30:19.5175713Z [2022-11-23 01:23:07,319] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 59
2022-11-23T01:30:19.5175718Z 
2022-11-23T01:30:19.5175811Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5175885Z import torch
2022-11-23T01:30:19.5175955Z import random
2022-11-23T01:30:19.5176068Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5176188Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5176196Z 
2022-11-23T01:30:19.5176273Z aten = torch.ops.aten
2022-11-23T01:30:19.5176392Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5176602Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5176610Z 
2022-11-23T01:30:19.5176614Z 
2022-11-23T01:30:19.5176749Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5176953Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5177071Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5177170Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.5177230Z {
2022-11-23T01:30:19.5177326Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5177375Z     {
2022-11-23T01:30:19.5177467Z         #pragma omp for  collapse(3)
2022-11-23T01:30:19.5177547Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.5177610Z         {
2022-11-23T01:30:19.5177692Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.5177760Z             {
2022-11-23T01:30:19.5177848Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T01:30:19.5177901Z                 {
2022-11-23T01:30:19.5177966Z                     {
2022-11-23T01:30:19.5178036Z                         {
2022-11-23T01:30:19.5178147Z                             auto tmp0 = in_ptr0[i2 + (256*i1) + (768*i0)];
2022-11-23T01:30:19.5178250Z                             out_ptr0[i1 + (3*i2) + (768*i0)] = tmp0;
2022-11-23T01:30:19.5178317Z                         }
2022-11-23T01:30:19.5178380Z                     }
2022-11-23T01:30:19.5178430Z                 }
2022-11-23T01:30:19.5178491Z             }
2022-11-23T01:30:19.5178551Z         }
2022-11-23T01:30:19.5178610Z     }
2022-11-23T01:30:19.5178667Z }
2022-11-23T01:30:19.5178745Z ''')
2022-11-23T01:30:19.5178750Z 
2022-11-23T01:30:19.5178754Z 
2022-11-23T01:30:19.5178844Z async_compile.wait(globals())
2022-11-23T01:30:19.5178903Z del async_compile
2022-11-23T01:30:19.5178908Z 
2022-11-23T01:30:19.5178976Z def call(args):
2022-11-23T01:30:19.5179078Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.5179148Z     args.clear()
2022-11-23T01:30:19.5179412Z     buf0 = empty_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5179551Z     kernel_cpp_0(c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.5179693Z     buf1 = aten.convolution(buf0, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.5179786Z     assert_size_stride(buf1, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T01:30:19.5179851Z     del buf0
2022-11-23T01:30:19.5179922Z     del primals_2
2022-11-23T01:30:19.5180021Z     return (buf1, primals_1, primals_3, )
2022-11-23T01:30:19.5180026Z 
2022-11-23T01:30:19.5180030Z 
2022-11-23T01:30:19.5180107Z if __name__ == "__main__":
2022-11-23T01:30:19.5180219Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5180340Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5180591Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5180778Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5180998Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5181133Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.5181138Z 
2022-11-23T01:30:19.5181143Z 
2022-11-23T01:30:19.5181236Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5181304Z import torch
2022-11-23T01:30:19.5181372Z import random
2022-11-23T01:30:19.5181485Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5181603Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5181607Z 
2022-11-23T01:30:19.5181672Z aten = torch.ops.aten
2022-11-23T01:30:19.5181802Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5181892Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5181900Z 
2022-11-23T01:30:19.5181904Z 
2022-11-23T01:30:19.5181991Z async_compile.wait(globals())
2022-11-23T01:30:19.5182062Z del async_compile
2022-11-23T01:30:19.5182069Z 
2022-11-23T01:30:19.5182137Z def call(args):
2022-11-23T01:30:19.5182236Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.5182307Z     args.clear()
2022-11-23T01:30:19.5182444Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.5182549Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T01:30:19.5182620Z     del primals_2
2022-11-23T01:30:19.5182715Z     return (buf0, primals_1, primals_3, )
2022-11-23T01:30:19.5182719Z 
2022-11-23T01:30:19.5182723Z 
2022-11-23T01:30:19.5182797Z if __name__ == "__main__":
2022-11-23T01:30:19.5182909Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5183028Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5183243Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5183427Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5183645Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5183780Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.5183784Z 
2022-11-23T01:30:19.5183788Z 
2022-11-23T01:30:19.5183880Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5183948Z import torch
2022-11-23T01:30:19.5184017Z import random
2022-11-23T01:30:19.5184129Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5184246Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5184251Z 
2022-11-23T01:30:19.5184315Z aten = torch.ops.aten
2022-11-23T01:30:19.5184445Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5184535Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5184542Z 
2022-11-23T01:30:19.5184546Z 
2022-11-23T01:30:19.5184634Z async_compile.wait(globals())
2022-11-23T01:30:19.5184704Z del async_compile
2022-11-23T01:30:19.5184709Z 
2022-11-23T01:30:19.5184807Z def call(args):
2022-11-23T01:30:19.5184909Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.5184979Z     args.clear()
2022-11-23T01:30:19.5185116Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.5185220Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T01:30:19.5185291Z     del primals_2
2022-11-23T01:30:19.5185386Z     return (buf0, primals_1, primals_3, )
2022-11-23T01:30:19.5185390Z 
2022-11-23T01:30:19.5185394Z 
2022-11-23T01:30:19.5185467Z if __name__ == "__main__":
2022-11-23T01:30:19.5185576Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5185693Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5185936Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5186120Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5186338Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5186475Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.5186480Z 
2022-11-23T01:30:19.5186547Z ok (1.518s)
2022-11-23T01:30:19.5186731Z   test_conv2d_unary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:30:19.5187051Z   test_conv3d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:23:07,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5187367Z [2022-11-23 01:23:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5187583Z [2022-11-23 01:23:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5187825Z [2022-11-23 01:23:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5188079Z [2022-11-23 01:23:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5188390Z [2022-11-23 01:23:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5188726Z [2022-11-23 01:23:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5189034Z [2022-11-23 01:23:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5189413Z [2022-11-23 01:23:07,330] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.5189507Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.5189594Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.5189668Z               4 RETURN_VALUE
2022-11-23T01:30:19.5189727Z  
2022-11-23T01:30:19.5189732Z 
2022-11-23T01:30:19.5190031Z [2022-11-23 01:23:07,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.5190240Z [2022-11-23 01:23:07,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.5190479Z [2022-11-23 01:23:07,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.5190726Z [2022-11-23 01:23:07,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5191108Z [2022-11-23 01:23:07,330] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.5191383Z [2022-11-23 01:23:07,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5191616Z [2022-11-23 01:23:07,330] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5191867Z [2022-11-23 01:23:07,331] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5192116Z [2022-11-23 01:23:07,335] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5192301Z [2022-11-23 01:23:07,335] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5192422Z  __compiled_fn_61 <eval_with_key>.405 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5192510Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5192639Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5192737Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5192742Z 
2022-11-23T01:30:19.5193065Z [2022-11-23 01:23:07,336] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5193156Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5193245Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5193329Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5193409Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5193491Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5193577Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5193652Z              12 RETURN_VALUE
2022-11-23T01:30:19.5193657Z 
2022-11-23T01:30:19.5193717Z  
2022-11-23T01:30:19.5194123Z [2022-11-23 01:23:07,336] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5194236Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_61)
2022-11-23T01:30:19.5194316Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5194405Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5194481Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5194567Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5194670Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5194769Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5194858Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5194922Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5195008Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.5195081Z              20 RETURN_VALUE
2022-11-23T01:30:19.5195086Z 
2022-11-23T01:30:19.5195149Z  
2022-11-23T01:30:19.5195334Z [2022-11-23 01:23:07,337] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5195407Z  - 
2022-11-23T01:30:19.5195526Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5195577Z             {
2022-11-23T01:30:19.5195719Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5195904Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5196022Z                 'obj_weakref': None
2022-11-23T01:30:19.5196248Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5196310Z             }
2022-11-23T01:30:19.5196371Z             
2022-11-23T01:30:19.5196437Z  - 
2022-11-23T01:30:19.5196548Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5196610Z             {
2022-11-23T01:30:19.5196751Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5196856Z                 'code': None,
2022-11-23T01:30:19.5197067Z                 'obj_weakref': <weakref at 0x7ff58fc17c90; to 'Tensor' at 0x7ff58fcd78d0>
2022-11-23T01:30:19.5197320Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5197385Z             }
2022-11-23T01:30:19.5197487Z             
2022-11-23T01:30:19.5197556Z  - 
2022-11-23T01:30:19.5197676Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5197738Z             {
2022-11-23T01:30:19.5197871Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5198038Z                 'code': ['___check_obj_id(model, 140692658259952)'],
2022-11-23T01:30:19.5198256Z                 'obj_weakref': <weakref at 0x7ff58fd271a0; to 'Sequential' at 0x7ff58feb07f0>
2022-11-23T01:30:19.5198477Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5198539Z             }
2022-11-23T01:30:19.5198602Z             
2022-11-23T01:30:19.5198671Z  - 
2022-11-23T01:30:19.5198791Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5198882Z             {
2022-11-23T01:30:19.5199020Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5199226Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5199342Z                 'obj_weakref': None
2022-11-23T01:30:19.5199560Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5199622Z             }
2022-11-23T01:30:19.5199686Z             
2022-11-23T01:30:19.5199753Z  - 
2022-11-23T01:30:19.5199896Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5199946Z             {
2022-11-23T01:30:19.5200062Z                 'guard_types': None,
2022-11-23T01:30:19.5200169Z                 'code': None,
2022-11-23T01:30:19.5200283Z                 'obj_weakref': None
2022-11-23T01:30:19.5200401Z                 'guarded_class': None
2022-11-23T01:30:19.5200463Z             }
2022-11-23T01:30:19.5200512Z             
2022-11-23T01:30:19.5200579Z  - 
2022-11-23T01:30:19.5200721Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5200783Z             {
2022-11-23T01:30:19.5200901Z                 'guard_types': None,
2022-11-23T01:30:19.5201009Z                 'code': None,
2022-11-23T01:30:19.5201125Z                 'obj_weakref': None
2022-11-23T01:30:19.5201232Z                 'guarded_class': None
2022-11-23T01:30:19.5201296Z             }
2022-11-23T01:30:19.5201358Z             
2022-11-23T01:30:19.5201613Z [2022-11-23 01:23:07,353] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 60
2022-11-23T01:30:19.5201978Z [2022-11-23 01:23:08,772] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ln/clnenmxtak34l4fdgm5lh5tczjfegp4zrkvdchfv5bw3gcuqrzmu.py
2022-11-23T01:30:19.5202237Z [2022-11-23 01:23:08,773] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 60
2022-11-23T01:30:19.5202473Z [2022-11-23 01:23:08,778] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5202789Z [2022-11-23 01:23:08,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5202991Z [2022-11-23 01:23:08,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5203230Z [2022-11-23 01:23:08,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5203494Z [2022-11-23 01:23:08,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5203805Z [2022-11-23 01:23:08,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5204140Z [2022-11-23 01:23:08,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5204451Z [2022-11-23 01:23:08,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5204853Z [2022-11-23 01:23:08,782] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.5204945Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.5205033Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.5205110Z               4 RETURN_VALUE
2022-11-23T01:30:19.5205158Z  
2022-11-23T01:30:19.5205163Z 
2022-11-23T01:30:19.5205473Z [2022-11-23 01:23:08,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.5205680Z [2022-11-23 01:23:08,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.5205917Z [2022-11-23 01:23:08,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.5206190Z [2022-11-23 01:23:08,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5206578Z [2022-11-23 01:23:08,782] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.5206819Z [2022-11-23 01:23:08,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5207051Z [2022-11-23 01:23:08,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5207300Z [2022-11-23 01:23:08,783] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5207535Z [2022-11-23 01:23:08,788] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5207722Z [2022-11-23 01:23:08,788] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5207856Z  __compiled_fn_62 <eval_with_key>.416 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5207946Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5208044Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5208140Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5208145Z 
2022-11-23T01:30:19.5208467Z [2022-11-23 01:23:08,788] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5208558Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5208636Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5208721Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5208810Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5208896Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5208985Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5209064Z              12 RETURN_VALUE
2022-11-23T01:30:19.5209069Z 
2022-11-23T01:30:19.5209131Z  
2022-11-23T01:30:19.5209452Z [2022-11-23 01:23:08,788] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5209547Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_62)
2022-11-23T01:30:19.5209637Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5209730Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5209811Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5209901Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5210004Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5210105Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5210181Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5210260Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5210350Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.5210427Z              20 RETURN_VALUE
2022-11-23T01:30:19.5210432Z 
2022-11-23T01:30:19.5210494Z  
2022-11-23T01:30:19.5210713Z [2022-11-23 01:23:08,789] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5210785Z  - 
2022-11-23T01:30:19.5210890Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5210956Z             {
2022-11-23T01:30:19.5211097Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5211285Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5211404Z                 'obj_weakref': None
2022-11-23T01:30:19.5211629Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5211695Z             }
2022-11-23T01:30:19.5211759Z             
2022-11-23T01:30:19.5211814Z  - 
2022-11-23T01:30:19.5211939Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5212004Z             {
2022-11-23T01:30:19.5212179Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5212289Z                 'code': None,
2022-11-23T01:30:19.5212506Z                 'obj_weakref': <weakref at 0x7ff58fdc0a40; to 'Tensor' at 0x7ff58fc17150>
2022-11-23T01:30:19.5212762Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5212816Z             }
2022-11-23T01:30:19.5212881Z             
2022-11-23T01:30:19.5212950Z  - 
2022-11-23T01:30:19.5213072Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5213136Z             {
2022-11-23T01:30:19.5213270Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5213425Z                 'code': ['___check_obj_id(model, 140692658259952)'],
2022-11-23T01:30:19.5213645Z                 'obj_weakref': <weakref at 0x7ff58fd271a0; to 'Sequential' at 0x7ff58feb07f0>
2022-11-23T01:30:19.5213882Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5213949Z             }
2022-11-23T01:30:19.5214014Z             
2022-11-23T01:30:19.5214084Z  - 
2022-11-23T01:30:19.5214206Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5214272Z             {
2022-11-23T01:30:19.5214395Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5214618Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5214737Z                 'obj_weakref': None
2022-11-23T01:30:19.5214958Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5215022Z             }
2022-11-23T01:30:19.5215087Z             
2022-11-23T01:30:19.5215156Z  - 
2022-11-23T01:30:19.5215288Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5215355Z             {
2022-11-23T01:30:19.5215471Z                 'guard_types': None,
2022-11-23T01:30:19.5215576Z                 'code': None,
2022-11-23T01:30:19.5215693Z                 'obj_weakref': None
2022-11-23T01:30:19.5215811Z                 'guarded_class': None
2022-11-23T01:30:19.5215861Z             }
2022-11-23T01:30:19.5215923Z             
2022-11-23T01:30:19.5215992Z  - 
2022-11-23T01:30:19.5216136Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5216199Z             {
2022-11-23T01:30:19.5216315Z                 'guard_types': None,
2022-11-23T01:30:19.5216608Z                 'code': None,
2022-11-23T01:30:19.5216712Z                 'obj_weakref': None
2022-11-23T01:30:19.5216832Z                 'guarded_class': None
2022-11-23T01:30:19.5216894Z             }
2022-11-23T01:30:19.5216956Z             
2022-11-23T01:30:19.5217212Z [2022-11-23 01:23:08,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 61
2022-11-23T01:30:19.5217579Z [2022-11-23 01:23:10,271] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cv/ccv3p6gxvcctctx62zed4dszod26ecyg6thnti2gisqwak2ssd3w.py
2022-11-23T01:30:19.5217843Z [2022-11-23 01:23:10,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 61
2022-11-23T01:30:19.5218130Z [2022-11-23 01:23:10,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5218434Z [2022-11-23 01:23:10,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5218648Z [2022-11-23 01:23:10,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5218887Z [2022-11-23 01:23:10,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5219153Z [2022-11-23 01:23:10,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5219464Z [2022-11-23 01:23:10,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5219836Z [2022-11-23 01:23:10,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5220148Z [2022-11-23 01:23:10,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5220527Z [2022-11-23 01:23:10,280] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.5220617Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.5220705Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.5220768Z               4 RETURN_VALUE
2022-11-23T01:30:19.5220829Z  
2022-11-23T01:30:19.5220834Z 
2022-11-23T01:30:19.5221146Z [2022-11-23 01:23:10,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.5221355Z [2022-11-23 01:23:10,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.5221595Z [2022-11-23 01:23:10,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.5221837Z [2022-11-23 01:23:10,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5222221Z [2022-11-23 01:23:10,280] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.5222462Z [2022-11-23 01:23:10,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5222692Z [2022-11-23 01:23:10,280] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5222931Z [2022-11-23 01:23:10,281] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5223180Z [2022-11-23 01:23:10,286] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5223365Z [2022-11-23 01:23:10,286] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5223499Z  __compiled_fn_63 <eval_with_key>.427 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5223586Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5223685Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5223783Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5223788Z 
2022-11-23T01:30:19.5224108Z [2022-11-23 01:23:10,286] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5224188Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5224277Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5224361Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5224453Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5224536Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5224657Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5224733Z              12 RETURN_VALUE
2022-11-23T01:30:19.5224738Z 
2022-11-23T01:30:19.5224797Z  
2022-11-23T01:30:19.5225108Z [2022-11-23 01:23:10,286] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5225215Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_63)
2022-11-23T01:30:19.5225303Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5225391Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5225466Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5225551Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5225652Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5225769Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5225857Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5225932Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5226019Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.5226092Z              20 RETURN_VALUE
2022-11-23T01:30:19.5226098Z 
2022-11-23T01:30:19.5226157Z  
2022-11-23T01:30:19.5226337Z [2022-11-23 01:23:10,287] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5226394Z  - 
2022-11-23T01:30:19.5226510Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5226572Z             {
2022-11-23T01:30:19.5226711Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5226895Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5227012Z                 'obj_weakref': None
2022-11-23T01:30:19.5227235Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5227300Z             }
2022-11-23T01:30:19.5227350Z             
2022-11-23T01:30:19.5227417Z  - 
2022-11-23T01:30:19.5227557Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5227651Z             {
2022-11-23T01:30:19.5227831Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5227936Z                 'code': None,
2022-11-23T01:30:19.5228137Z                 'obj_weakref': <weakref at 0x7ff58fc171f0; to 'Tensor' at 0x7ff58fc4c680>
2022-11-23T01:30:19.5228390Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5228452Z             }
2022-11-23T01:30:19.5228515Z             
2022-11-23T01:30:19.5228582Z  - 
2022-11-23T01:30:19.5228699Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5228759Z             {
2022-11-23T01:30:19.5228880Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5229047Z                 'code': ['___check_obj_id(model, 140692658259952)'],
2022-11-23T01:30:19.5229266Z                 'obj_weakref': <weakref at 0x7ff58fd271a0; to 'Sequential' at 0x7ff58feb07f0>
2022-11-23T01:30:19.5229499Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5229562Z             }
2022-11-23T01:30:19.5229624Z             
2022-11-23T01:30:19.5229692Z  - 
2022-11-23T01:30:19.5229809Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5229859Z             {
2022-11-23T01:30:19.5229993Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5230210Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5230329Z                 'obj_weakref': None
2022-11-23T01:30:19.5230546Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5230608Z             }
2022-11-23T01:30:19.5230671Z             
2022-11-23T01:30:19.5230725Z  - 
2022-11-23T01:30:19.5230870Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5230932Z             {
2022-11-23T01:30:19.5231048Z                 'guard_types': None,
2022-11-23T01:30:19.5231191Z                 'code': None,
2022-11-23T01:30:19.5231309Z                 'obj_weakref': None
2022-11-23T01:30:19.5231417Z                 'guarded_class': None
2022-11-23T01:30:19.5231478Z             }
2022-11-23T01:30:19.5231539Z             
2022-11-23T01:30:19.5231606Z  - 
2022-11-23T01:30:19.5231750Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5231811Z             {
2022-11-23T01:30:19.5231926Z                 'guard_types': None,
2022-11-23T01:30:19.5232018Z                 'code': None,
2022-11-23T01:30:19.5232134Z                 'obj_weakref': None
2022-11-23T01:30:19.5232254Z                 'guarded_class': None
2022-11-23T01:30:19.5232315Z             }
2022-11-23T01:30:19.5232377Z             
2022-11-23T01:30:19.5232634Z [2022-11-23 01:23:10,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 62
2022-11-23T01:30:19.5233032Z [2022-11-23 01:23:10,319] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cv/ccv3p6gxvcctctx62zed4dszod26ecyg6thnti2gisqwak2ssd3w.py
2022-11-23T01:30:19.5233291Z [2022-11-23 01:23:10,319] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 62
2022-11-23T01:30:19.5233297Z 
2022-11-23T01:30:19.5233378Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5233446Z import torch
2022-11-23T01:30:19.5233516Z import random
2022-11-23T01:30:19.5233629Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5233750Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5233755Z 
2022-11-23T01:30:19.5233899Z aten = torch.ops.aten
2022-11-23T01:30:19.5234035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5234114Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5234132Z 
2022-11-23T01:30:19.5234136Z 
2022-11-23T01:30:19.5234261Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5234466Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5234587Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5234687Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.5234747Z {
2022-11-23T01:30:19.5234845Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5234907Z     {
2022-11-23T01:30:19.5234971Z         #pragma omp for 
2022-11-23T01:30:19.5235053Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.5235116Z         {
2022-11-23T01:30:19.5235275Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.5235366Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.5235429Z         }
2022-11-23T01:30:19.5235522Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.5235589Z         for(long i0=8; i0<9; i0+=1)
2022-11-23T01:30:19.5235649Z         {
2022-11-23T01:30:19.5235734Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.5235814Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.5235878Z         }
2022-11-23T01:30:19.5235938Z     }
2022-11-23T01:30:19.5235987Z }
2022-11-23T01:30:19.5236064Z ''')
2022-11-23T01:30:19.5236069Z 
2022-11-23T01:30:19.5236073Z 
2022-11-23T01:30:19.5236158Z async_compile.wait(globals())
2022-11-23T01:30:19.5236229Z del async_compile
2022-11-23T01:30:19.5236233Z 
2022-11-23T01:30:19.5236302Z def call(args):
2022-11-23T01:30:19.5236402Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.5236473Z     args.clear()
2022-11-23T01:30:19.5236687Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5236812Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.5236961Z     buf1 = aten.convolution(primals_3, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.5237077Z     assert_size_stride(buf1, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T01:30:19.5237142Z     del buf0
2022-11-23T01:30:19.5237213Z     del primals_2
2022-11-23T01:30:19.5237342Z     return (buf1, primals_1, primals_3, )
2022-11-23T01:30:19.5237347Z 
2022-11-23T01:30:19.5237351Z 
2022-11-23T01:30:19.5237427Z if __name__ == "__main__":
2022-11-23T01:30:19.5237539Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5237649Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5237871Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5238069Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5238302Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5238438Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.5238471Z 
2022-11-23T01:30:19.5238475Z 
2022-11-23T01:30:19.5238571Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5238638Z import torch
2022-11-23T01:30:19.5238706Z import random
2022-11-23T01:30:19.5238809Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5238928Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5238933Z 
2022-11-23T01:30:19.5239012Z aten = torch.ops.aten
2022-11-23T01:30:19.5239144Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5239235Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5239240Z 
2022-11-23T01:30:19.5239244Z 
2022-11-23T01:30:19.5239373Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5239575Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5239692Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5239783Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.5239884Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.5239979Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.5240039Z {
2022-11-23T01:30:19.5240138Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5240199Z     {
2022-11-23T01:30:19.5240274Z         #pragma omp for 
2022-11-23T01:30:19.5240342Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.5240404Z         {
2022-11-23T01:30:19.5240535Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.5240627Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.5240689Z         }
2022-11-23T01:30:19.5240795Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.5240874Z         for(long i0=8; i0<9; i0+=1)
2022-11-23T01:30:19.5240924Z         {
2022-11-23T01:30:19.5241005Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.5241138Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.5241200Z         }
2022-11-23T01:30:19.5241286Z         #pragma omp for  collapse(3)
2022-11-23T01:30:19.5241366Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.5241426Z         {
2022-11-23T01:30:19.5241495Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.5241558Z             {
2022-11-23T01:30:19.5241647Z                 for(long i2=0; i2<4096; i2+=1)
2022-11-23T01:30:19.5241712Z                 {
2022-11-23T01:30:19.5241781Z                     {
2022-11-23T01:30:19.5241848Z                         {
2022-11-23T01:30:19.5241956Z                             auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)];
2022-11-23T01:30:19.5242050Z                             out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0;
2022-11-23T01:30:19.5242117Z                         }
2022-11-23T01:30:19.5242182Z                     }
2022-11-23T01:30:19.5242245Z                 }
2022-11-23T01:30:19.5242307Z             }
2022-11-23T01:30:19.5242368Z         }
2022-11-23T01:30:19.5242416Z     }
2022-11-23T01:30:19.5242474Z }
2022-11-23T01:30:19.5242550Z ''')
2022-11-23T01:30:19.5242557Z 
2022-11-23T01:30:19.5242561Z 
2022-11-23T01:30:19.5242651Z async_compile.wait(globals())
2022-11-23T01:30:19.5242723Z del async_compile
2022-11-23T01:30:19.5242728Z 
2022-11-23T01:30:19.5242840Z def call(args):
2022-11-23T01:30:19.5242940Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.5243011Z     args.clear()
2022-11-23T01:30:19.5243215Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5243444Z     buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5243647Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.5243794Z     buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.5243907Z     assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T01:30:19.5244004Z     del buf0
2022-11-23T01:30:19.5244067Z     del buf1
2022-11-23T01:30:19.5244138Z     del primals_2
2022-11-23T01:30:19.5244224Z     return (buf2, primals_1, primals_3, )
2022-11-23T01:30:19.5244231Z 
2022-11-23T01:30:19.5244236Z 
2022-11-23T01:30:19.5244312Z if __name__ == "__main__":
2022-11-23T01:30:19.5244424Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5244547Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5244768Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5244968Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5245200Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5245339Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.5245345Z 
2022-11-23T01:30:19.5245350Z 
2022-11-23T01:30:19.5245447Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5245505Z import torch
2022-11-23T01:30:19.5245575Z import random
2022-11-23T01:30:19.5245691Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5245814Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5245819Z 
2022-11-23T01:30:19.5245898Z aten = torch.ops.aten
2022-11-23T01:30:19.5246032Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5246124Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5246129Z 
2022-11-23T01:30:19.5246133Z 
2022-11-23T01:30:19.5246254Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5246458Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5246578Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5246683Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.5246785Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.5246884Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.5246948Z {
2022-11-23T01:30:19.5247047Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5247098Z     {
2022-11-23T01:30:19.5247176Z         #pragma omp for 
2022-11-23T01:30:19.5247259Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.5247325Z         {
2022-11-23T01:30:19.5247461Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.5247553Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.5247617Z         }
2022-11-23T01:30:19.5247699Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.5247782Z         for(long i0=8; i0<9; i0+=1)
2022-11-23T01:30:19.5247846Z         {
2022-11-23T01:30:19.5247931Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.5248012Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.5248105Z         }
2022-11-23T01:30:19.5248180Z         #pragma omp for  collapse(3)
2022-11-23T01:30:19.5248264Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.5248326Z         {
2022-11-23T01:30:19.5248410Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.5248476Z             {
2022-11-23T01:30:19.5248595Z                 for(long i2=0; i2<4096; i2+=1)
2022-11-23T01:30:19.5248662Z                 {
2022-11-23T01:30:19.5248716Z                     {
2022-11-23T01:30:19.5248786Z                         {
2022-11-23T01:30:19.5248896Z                             auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)];
2022-11-23T01:30:19.5249002Z                             out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0;
2022-11-23T01:30:19.5249071Z                         }
2022-11-23T01:30:19.5249138Z                     }
2022-11-23T01:30:19.5249203Z                 }
2022-11-23T01:30:19.5249254Z             }
2022-11-23T01:30:19.5249316Z         }
2022-11-23T01:30:19.5249378Z     }
2022-11-23T01:30:19.5249439Z }
2022-11-23T01:30:19.5249519Z ''')
2022-11-23T01:30:19.5249523Z 
2022-11-23T01:30:19.5249555Z 
2022-11-23T01:30:19.5249647Z async_compile.wait(globals())
2022-11-23T01:30:19.5249719Z del async_compile
2022-11-23T01:30:19.5249724Z 
2022-11-23T01:30:19.5249782Z def call(args):
2022-11-23T01:30:19.5249885Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.5249957Z     args.clear()
2022-11-23T01:30:19.5250171Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5250401Z     buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5250602Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.5250746Z     buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.5250858Z     assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T01:30:19.5250911Z     del buf0
2022-11-23T01:30:19.5250976Z     del buf1
2022-11-23T01:30:19.5251045Z     del primals_2
2022-11-23T01:30:19.5255503Z     return (buf2, primals_1, primals_3, )
2022-11-23T01:30:19.5255513Z 
2022-11-23T01:30:19.5255518Z 
2022-11-23T01:30:19.5255617Z if __name__ == "__main__":
2022-11-23T01:30:19.5255725Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5255854Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5256100Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5256303Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5256665Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5256806Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.5256812Z 
2022-11-23T01:30:19.5256882Z ok (2.999s)
2022-11-23T01:30:19.5257023Z   test_conv_autotune_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T01:30:19.5257342Z   test_conv_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:23:10,331] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5257662Z [2022-11-23 01:23:10,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5257882Z [2022-11-23 01:23:10,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5258140Z [2022-11-23 01:23:10,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.5258420Z [2022-11-23 01:23:10,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.5258741Z [2022-11-23 01:23:10,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5259092Z [2022-11-23 01:23:10,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5259508Z [2022-11-23 01:23:10,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5259889Z [2022-11-23 01:23:10,333] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d3890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279> 
2022-11-23T01:30:19.5259985Z  4281           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.5260086Z                2 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:30:19.5260176Z                4 BUILD_LIST               0
2022-11-23T01:30:19.5260181Z 
2022-11-23T01:30:19.5260283Z 4282           6 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:30:19.5260289Z 
2022-11-23T01:30:19.5260379Z 4281           8 LIST_EXTEND              1
2022-11-23T01:30:19.5260424Z 
2022-11-23T01:30:19.5260518Z 4283          10 LOAD_DEREF               0 (C)
2022-11-23T01:30:19.5260610Z               12 BUILD_LIST               1
2022-11-23T01:30:19.5260617Z 
2022-11-23T01:30:19.5260709Z 4281          14 LIST_APPEND              1
2022-11-23T01:30:19.5260713Z 
2022-11-23T01:30:19.5260802Z 4284          16 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5260892Z               18 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5260966Z               20 BUILD_LIST               2
2022-11-23T01:30:19.5260970Z 
2022-11-23T01:30:19.5261055Z 4281          22 LIST_APPEND              1
2022-11-23T01:30:19.5261060Z 
2022-11-23T01:30:19.5261149Z 4285          24 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5261236Z               26 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5261322Z               28 BUILD_LIST               2
2022-11-23T01:30:19.5261326Z 
2022-11-23T01:30:19.5261413Z 4281          30 LIST_APPEND              1
2022-11-23T01:30:19.5261419Z 
2022-11-23T01:30:19.5261508Z 4286          32 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5261599Z               34 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5261671Z               36 BUILD_LIST               2
2022-11-23T01:30:19.5261689Z 
2022-11-23T01:30:19.5261764Z 4281          38 LIST_APPEND              1
2022-11-23T01:30:19.5261768Z 
2022-11-23T01:30:19.5261860Z 4287          40 LOAD_CONST               3 (False)
2022-11-23T01:30:19.5261864Z 
2022-11-23T01:30:19.5261950Z 4281          42 LIST_APPEND              1
2022-11-23T01:30:19.5261954Z 
2022-11-23T01:30:19.5262042Z 4288          44 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5262129Z               46 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5262213Z               48 BUILD_LIST               2
2022-11-23T01:30:19.5262218Z 
2022-11-23T01:30:19.5262307Z 4281          50 LIST_APPEND              1
2022-11-23T01:30:19.5262311Z 
2022-11-23T01:30:19.5262396Z 4289          52 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5262403Z 
2022-11-23T01:30:19.5262478Z 4281          54 LIST_APPEND              1
2022-11-23T01:30:19.5262495Z 
2022-11-23T01:30:19.5262570Z 4290          56 BUILD_LIST               0
2022-11-23T01:30:19.5262677Z               58 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:30:19.5262763Z               60 LIST_EXTEND              1
2022-11-23T01:30:19.5262768Z 
2022-11-23T01:30:19.5262853Z 4281          62 LIST_APPEND              1
2022-11-23T01:30:19.5262933Z               64 LIST_TO_TUPLE
2022-11-23T01:30:19.5263023Z               66 CALL_FUNCTION_EX         0
2022-11-23T01:30:19.5263116Z               68 STORE_FAST               3 (out1)
2022-11-23T01:30:19.5263120Z 
2022-11-23T01:30:19.5263211Z 4292          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.5263312Z               72 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:30:19.5263398Z               74 BUILD_LIST               0
2022-11-23T01:30:19.5263403Z 
2022-11-23T01:30:19.5263505Z 4293          76 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:30:19.5263510Z 
2022-11-23T01:30:19.5263595Z 4292          78 LIST_EXTEND              1
2022-11-23T01:30:19.5263629Z 
2022-11-23T01:30:19.5263722Z 4294          80 LOAD_DEREF               0 (C)
2022-11-23T01:30:19.5263808Z               82 BUILD_LIST               1
2022-11-23T01:30:19.5263813Z 
2022-11-23T01:30:19.5263899Z 4292          84 LIST_APPEND              1
2022-11-23T01:30:19.5263903Z 
2022-11-23T01:30:19.5263990Z 4295          86 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5264065Z               88 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5264149Z               90 BUILD_LIST               2
2022-11-23T01:30:19.5264153Z 
2022-11-23T01:30:19.5264239Z 4292          92 LIST_APPEND              1
2022-11-23T01:30:19.5264243Z 
2022-11-23T01:30:19.5264329Z 4296          94 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5264418Z               96 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5264531Z               98 BUILD_LIST               2
2022-11-23T01:30:19.5264535Z 
2022-11-23T01:30:19.5264620Z 4292         100 LIST_APPEND              1
2022-11-23T01:30:19.5264624Z 
2022-11-23T01:30:19.5264711Z 4297         102 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5264799Z              104 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5264871Z              106 BUILD_LIST               2
2022-11-23T01:30:19.5264875Z 
2022-11-23T01:30:19.5264960Z 4292         108 LIST_APPEND              1
2022-11-23T01:30:19.5264964Z 
2022-11-23T01:30:19.5265056Z 4298         110 LOAD_CONST               3 (False)
2022-11-23T01:30:19.5265060Z 
2022-11-23T01:30:19.5265144Z 4292         112 LIST_APPEND              1
2022-11-23T01:30:19.5265148Z 
2022-11-23T01:30:19.5265234Z 4299         114 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5265321Z              116 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5265404Z              118 BUILD_LIST               2
2022-11-23T01:30:19.5265411Z 
2022-11-23T01:30:19.5265496Z 4292         120 LIST_APPEND              1
2022-11-23T01:30:19.5265500Z 
2022-11-23T01:30:19.5265586Z 4300         122 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5265591Z 
2022-11-23T01:30:19.5265666Z 4292         124 LIST_APPEND              1
2022-11-23T01:30:19.5265670Z 
2022-11-23T01:30:19.5265754Z 4301         126 BUILD_LIST               0
2022-11-23T01:30:19.5265866Z              128 LOAD_CONST               5 ((True, False, False))
2022-11-23T01:30:19.5265953Z              130 LIST_EXTEND              1
2022-11-23T01:30:19.5265957Z 
2022-11-23T01:30:19.5266042Z 4292         132 LIST_APPEND              1
2022-11-23T01:30:19.5266119Z              134 LIST_TO_TUPLE
2022-11-23T01:30:19.5266207Z              136 CALL_FUNCTION_EX         0
2022-11-23T01:30:19.5266299Z              138 STORE_FAST               4 (out2)
2022-11-23T01:30:19.5266304Z 
2022-11-23T01:30:19.5266380Z 4303         140 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.5266490Z              142 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:30:19.5266577Z              144 BUILD_LIST               0
2022-11-23T01:30:19.5266581Z 
2022-11-23T01:30:19.5266680Z 4304         146 LOAD_FAST                1 (rank3_inps)
2022-11-23T01:30:19.5266684Z 
2022-11-23T01:30:19.5266770Z 4303         148 LIST_EXTEND              1
2022-11-23T01:30:19.5266774Z 
2022-11-23T01:30:19.5266864Z 4305         150 LOAD_DEREF               0 (C)
2022-11-23T01:30:19.5266947Z              152 BUILD_LIST               1
2022-11-23T01:30:19.5266952Z 
2022-11-23T01:30:19.5267037Z 4303         154 LIST_APPEND              1
2022-11-23T01:30:19.5267041Z 
2022-11-23T01:30:19.5267127Z 4306         156 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5267198Z              158 BUILD_LIST               1
2022-11-23T01:30:19.5267203Z 
2022-11-23T01:30:19.5267288Z 4303         160 LIST_APPEND              1
2022-11-23T01:30:19.5267293Z 
2022-11-23T01:30:19.5267379Z 4307         162 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5267465Z              164 BUILD_LIST               1
2022-11-23T01:30:19.5267469Z 
2022-11-23T01:30:19.5267554Z 4303         166 LIST_APPEND              1
2022-11-23T01:30:19.5267558Z 
2022-11-23T01:30:19.5267672Z 4308         168 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5267758Z              170 BUILD_LIST               1
2022-11-23T01:30:19.5267762Z 
2022-11-23T01:30:19.5267848Z 4303         172 LIST_APPEND              1
2022-11-23T01:30:19.5267852Z 
2022-11-23T01:30:19.5267945Z 4309         174 LOAD_CONST               3 (False)
2022-11-23T01:30:19.5267949Z 
2022-11-23T01:30:19.5268022Z 4303         176 LIST_APPEND              1
2022-11-23T01:30:19.5268027Z 
2022-11-23T01:30:19.5268112Z 4310         178 LOAD_CONST               2 (0)
2022-11-23T01:30:19.5268194Z              180 BUILD_LIST               1
2022-11-23T01:30:19.5268199Z 
2022-11-23T01:30:19.5268284Z 4303         182 LIST_APPEND              1
2022-11-23T01:30:19.5268288Z 
2022-11-23T01:30:19.5268374Z 4311         184 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5268405Z 
2022-11-23T01:30:19.5268491Z 4303         186 LIST_APPEND              1
2022-11-23T01:30:19.5268495Z 
2022-11-23T01:30:19.5268581Z 4312         188 BUILD_LIST               0
2022-11-23T01:30:19.5268687Z              190 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:30:19.5268773Z              192 LIST_EXTEND              1
2022-11-23T01:30:19.5268777Z 
2022-11-23T01:30:19.5268850Z 4303         194 LIST_APPEND              1
2022-11-23T01:30:19.5268926Z              196 LIST_TO_TUPLE
2022-11-23T01:30:19.5269014Z              198 CALL_FUNCTION_EX         0
2022-11-23T01:30:19.5269107Z              200 STORE_FAST               5 (out3)
2022-11-23T01:30:19.5269111Z 
2022-11-23T01:30:19.5269200Z 4314         202 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.5269310Z              204 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:30:19.5269394Z              206 BUILD_LIST               0
2022-11-23T01:30:19.5269401Z 
2022-11-23T01:30:19.5269500Z 4315         208 LOAD_FAST                2 (rank5_inps)
2022-11-23T01:30:19.5269504Z 
2022-11-23T01:30:19.5269577Z 4314         210 LIST_EXTEND              1
2022-11-23T01:30:19.5269584Z 
2022-11-23T01:30:19.5269674Z 4316         212 LOAD_DEREF               0 (C)
2022-11-23T01:30:19.5269758Z              214 BUILD_LIST               1
2022-11-23T01:30:19.5269762Z 
2022-11-23T01:30:19.5269848Z 4314         216 LIST_APPEND              1
2022-11-23T01:30:19.5269852Z 
2022-11-23T01:30:19.5269935Z 4317         218 BUILD_LIST               0
2022-11-23T01:30:19.5270029Z              220 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T01:30:19.5270116Z              222 LIST_EXTEND              1
2022-11-23T01:30:19.5270120Z 
2022-11-23T01:30:19.5270205Z 4314         224 LIST_APPEND              1
2022-11-23T01:30:19.5270209Z 
2022-11-23T01:30:19.5270291Z 4318         226 BUILD_LIST               0
2022-11-23T01:30:19.5270373Z              228 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T01:30:19.5270462Z              230 LIST_EXTEND              1
2022-11-23T01:30:19.5270466Z 
2022-11-23T01:30:19.5270552Z 4314         232 LIST_APPEND              1
2022-11-23T01:30:19.5270558Z 
2022-11-23T01:30:19.5270641Z 4319         234 BUILD_LIST               0
2022-11-23T01:30:19.5270734Z              236 LOAD_CONST               6 ((1, 1, 1))
2022-11-23T01:30:19.5270818Z              238 LIST_EXTEND              1
2022-11-23T01:30:19.5270822Z 
2022-11-23T01:30:19.5270906Z 4314         240 LIST_APPEND              1
2022-11-23T01:30:19.5270911Z 
2022-11-23T01:30:19.5271002Z 4320         242 LOAD_CONST               3 (False)
2022-11-23T01:30:19.5271007Z 
2022-11-23T01:30:19.5271079Z 4314         244 LIST_APPEND              1
2022-11-23T01:30:19.5271096Z 
2022-11-23T01:30:19.5271166Z 4321         246 BUILD_LIST               0
2022-11-23T01:30:19.5271258Z              248 LOAD_CONST               7 ((0, 0, 0))
2022-11-23T01:30:19.5271343Z              250 LIST_EXTEND              1
2022-11-23T01:30:19.5271349Z 
2022-11-23T01:30:19.5271438Z 4314         252 LIST_APPEND              1
2022-11-23T01:30:19.5271442Z 
2022-11-23T01:30:19.5271529Z 4322         254 LOAD_CONST               1 (1)
2022-11-23T01:30:19.5271601Z 
2022-11-23T01:30:19.5271688Z 4314         256 LIST_APPEND              1
2022-11-23T01:30:19.5271692Z 
2022-11-23T01:30:19.5271775Z 4323         258 BUILD_LIST               0
2022-11-23T01:30:19.5271885Z              260 LOAD_CONST               4 ((True, True, True))
2022-11-23T01:30:19.5271957Z              262 LIST_EXTEND              1
2022-11-23T01:30:19.5271961Z 
2022-11-23T01:30:19.5272048Z 4314         264 LIST_APPEND              1
2022-11-23T01:30:19.5272124Z              266 LIST_TO_TUPLE
2022-11-23T01:30:19.5272212Z              268 CALL_FUNCTION_EX         0
2022-11-23T01:30:19.5272306Z              270 STORE_FAST               6 (out4)
2022-11-23T01:30:19.5272310Z 
2022-11-23T01:30:19.5272400Z 4325         272 LOAD_FAST                3 (out1)
2022-11-23T01:30:19.5272517Z              274 LOAD_FAST                4 (out2)
2022-11-23T01:30:19.5272604Z              276 LOAD_FAST                5 (out3)
2022-11-23T01:30:19.5272677Z              278 LOAD_FAST                6 (out4)
2022-11-23T01:30:19.5272766Z              280 BUILD_TUPLE              4
2022-11-23T01:30:19.5272847Z              282 RETURN_VALUE
2022-11-23T01:30:19.5272908Z  
2022-11-23T01:30:19.5272913Z 
2022-11-23T01:30:19.5273243Z [2022-11-23 01:23:10,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5273463Z [2022-11-23 01:23:10,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.5273875Z [2022-11-23 01:23:10,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5274162Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:30:19.5274480Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4282
2022-11-23T01:30:19.5274783Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5275094Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5275429Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5275733Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4283
2022-11-23T01:30:19.5276036Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5276379Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5276689Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5277020Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5277329Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4284
2022-11-23T01:30:19.5277627Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5277964Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5278363Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5278672Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5279001Z [2022-11-23 01:23:10,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5279307Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4285
2022-11-23T01:30:19.5279605Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5279969Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5280342Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5280653Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5280981Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5281284Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4286
2022-11-23T01:30:19.5281589Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5281927Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5282286Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5282597Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5282925Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5283234Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4287
2022-11-23T01:30:19.5283541Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5283849Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5284187Z [2022-11-23 01:23:10,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.5284500Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4288
2022-11-23T01:30:19.5284797Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5285173Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5285549Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5285857Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5286169Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5286474Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4289
2022-11-23T01:30:19.5286806Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5287110Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5287449Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5287754Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4290
2022-11-23T01:30:19.5288055Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5288404Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5288779Z [2022-11-23 01:23:10,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5289084Z [2022-11-23 01:23:10,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4281
2022-11-23T01:30:19.5289411Z [2022-11-23 01:23:10,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5289718Z [2022-11-23 01:23:10,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5290019Z [2022-11-23 01:23:10,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:30:19.5290263Z [2022-11-23 01:23:10,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out1 [TupleVariable()]
2022-11-23T01:30:19.5290571Z [2022-11-23 01:23:10,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5290789Z [2022-11-23 01:23:10,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.5291114Z [2022-11-23 01:23:10,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5291389Z [2022-11-23 01:23:10,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:30:19.5291694Z [2022-11-23 01:23:10,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4293
2022-11-23T01:30:19.5292001Z [2022-11-23 01:23:10,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5292337Z [2022-11-23 01:23:10,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5292664Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5292955Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4294
2022-11-23T01:30:19.5293385Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5293723Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5294070Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5294400Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5294706Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4295
2022-11-23T01:30:19.5295007Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5295343Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5295716Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5296032Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5296361Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5296753Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4296
2022-11-23T01:30:19.5297039Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5297374Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5297755Z [2022-11-23 01:23:10,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5298066Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5298395Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5298701Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4297
2022-11-23T01:30:19.5299001Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5299338Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5299761Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5300070Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5300395Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5300701Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4298
2022-11-23T01:30:19.5300992Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5301337Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5301677Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.5301988Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4299
2022-11-23T01:30:19.5302287Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5302621Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5302998Z [2022-11-23 01:23:10,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.5303307Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5303632Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5303937Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4300
2022-11-23T01:30:19.5304234Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5304537Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5304865Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5305171Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4301
2022-11-23T01:30:19.5305469Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5305822Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, False, False) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5306187Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5306527Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4292
2022-11-23T01:30:19.5306853Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5307161Z [2022-11-23 01:23:10,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5307472Z [2022-11-23 01:23:10,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:30:19.5307711Z [2022-11-23 01:23:10,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out2 [TupleVariable()]
2022-11-23T01:30:19.5308024Z [2022-11-23 01:23:10,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5308252Z [2022-11-23 01:23:10,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.5308581Z [2022-11-23 01:23:10,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5308856Z [2022-11-23 01:23:10,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:30:19.5309165Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4304
2022-11-23T01:30:19.5309475Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank3_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5309783Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5310114Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5310421Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4305
2022-11-23T01:30:19.5310718Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5311056Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5311365Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5311679Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5311986Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4306
2022-11-23T01:30:19.5312283Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5312619Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5312926Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5313252Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5313597Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4307
2022-11-23T01:30:19.5313949Z [2022-11-23 01:23:10,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5314291Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5314601Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5314930Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5315237Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4308
2022-11-23T01:30:19.5315555Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5315891Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5316202Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5316528Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5316833Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4309
2022-11-23T01:30:19.5317139Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5317447Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5317786Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.5318093Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4310
2022-11-23T01:30:19.5318391Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5318724Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5319034Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5319343Z [2022-11-23 01:23:10,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5319646Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4311
2022-11-23T01:30:19.5319944Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5320244Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5320583Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5320916Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4312
2022-11-23T01:30:19.5321214Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5321557Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5321921Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5322230Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4303
2022-11-23T01:30:19.5322588Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5322882Z [2022-11-23 01:23:10,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5323193Z [2022-11-23 01:23:10,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:30:19.5323433Z [2022-11-23 01:23:10,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out3 [TupleVariable()]
2022-11-23T01:30:19.5323746Z [2022-11-23 01:23:10,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5323959Z [2022-11-23 01:23:10,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.5324291Z [2022-11-23 01:23:10,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.5324566Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward)]
2022-11-23T01:30:19.5324873Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4315
2022-11-23T01:30:19.5325183Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank5_inps [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5325488Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5325815Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5326111Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4316
2022-11-23T01:30:19.5326408Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5326744Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5327052Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5327375Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5327681Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4317
2022-11-23T01:30:19.5328006Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5328430Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5328820Z [2022-11-23 01:23:10,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5329126Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5329452Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5329798Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4318
2022-11-23T01:30:19.5330084Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5330417Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5330788Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5331093Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5331424Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5331728Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4319
2022-11-23T01:30:19.5332023Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5332350Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5332716Z [2022-11-23 01:23:10,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5333027Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5333358Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5333662Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4320
2022-11-23T01:30:19.5333957Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5334265Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5334604Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.5334957Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4321
2022-11-23T01:30:19.5335257Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5335585Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 0, 0) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5335952Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5336260Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5336723Z [2022-11-23 01:23:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5337033Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4322
2022-11-23T01:30:19.5337331Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5337623Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5337964Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.5338276Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4323
2022-11-23T01:30:19.5338578Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5338963Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (True, True, True) [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5339453Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.5339887Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4314
2022-11-23T01:30:19.5340217Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:30:19.5340528Z [2022-11-23 01:23:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:30:19.5340842Z [2022-11-23 01:23:10,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:30:19.5341083Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out4 [TupleVariable()]
2022-11-23T01:30:19.5341395Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4325
2022-11-23T01:30:19.5341594Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out1 []
2022-11-23T01:30:19.5341834Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out2 [TupleVariable()]
2022-11-23T01:30:19.5342098Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out3 [TupleVariable(), TupleVariable()]
2022-11-23T01:30:19.5342455Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out4 [TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:30:19.5342778Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TupleVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:30:19.5343025Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5343407Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d3890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4279>
2022-11-23T01:30:19.5343651Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.5343888Z [2022-11-23 01:23:10,380] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5344181Z [2022-11-23 01:23:10,383] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5344420Z [2022-11-23 01:23:10,392] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5344609Z [2022-11-23 01:23:10,393] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5344742Z  __compiled_fn_64 <eval_with_key>.438 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5344836Z placeholder, ex_0_0_, ex_0_0_, (), {}
2022-11-23T01:30:19.5344926Z placeholder, ex_0_1_, ex_0_1_, (), {}
2022-11-23T01:30:19.5345012Z placeholder, ex_0_2_, ex_0_2_, (), {}
2022-11-23T01:30:19.5345098Z placeholder, ex_1_0_, ex_1_0_, (), {}
2022-11-23T01:30:19.5345170Z placeholder, ex_1_1_, ex_1_1_, (), {}
2022-11-23T01:30:19.5345255Z placeholder, ex_1_2_, ex_1_2_, (), {}
2022-11-23T01:30:19.5345339Z placeholder, ex_2_0_, ex_2_0_, (), {}
2022-11-23T01:30:19.5345425Z placeholder, ex_2_1_, ex_2_1_, (), {}
2022-11-23T01:30:19.5345512Z placeholder, ex_2_2_, ex_2_2_, (), {}
2022-11-23T01:30:19.5345717Z call_function, convolution_backward, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:30:19.5345938Z call_function, getitem, <built-in function getitem>, (convolution_backward, 0), {}
2022-11-23T01:30:19.5346157Z call_function, getitem_1, <built-in function getitem>, (convolution_backward, 1), {}
2022-11-23T01:30:19.5346357Z call_function, getitem_2, <built-in function getitem>, (convolution_backward, 2), {}
2022-11-23T01:30:19.5346561Z call_function, convolution_backward_1, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]), {}
2022-11-23T01:30:19.5346780Z call_function, getitem_3, <built-in function getitem>, (convolution_backward_1, 0), {}
2022-11-23T01:30:19.5346972Z call_function, convolution_backward_2, aten.convolution_backward, (ex_1_0_, ex_1_1_, ex_1_2_, [4], [1], [0], [1], False, [0], 1, [True, True, True]), {}
2022-11-23T01:30:19.5347194Z call_function, getitem_4, <built-in function getitem>, (convolution_backward_2, 0), {}
2022-11-23T01:30:19.5347415Z call_function, getitem_5, <built-in function getitem>, (convolution_backward_2, 1), {}
2022-11-23T01:30:19.5347628Z call_function, getitem_6, <built-in function getitem>, (convolution_backward_2, 2), {}
2022-11-23T01:30:19.5347827Z call_function, convolution_backward_3, aten.convolution_backward, (ex_2_0_, ex_2_1_, ex_2_2_, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]), {}
2022-11-23T01:30:19.5348038Z call_function, getitem_7, <built-in function getitem>, (convolution_backward_3, 0), {}
2022-11-23T01:30:19.5348242Z call_function, getitem_8, <built-in function getitem>, (convolution_backward_3, 1), {}
2022-11-23T01:30:19.5348455Z call_function, getitem_9, <built-in function getitem>, (convolution_backward_3, 2), {}
2022-11-23T01:30:19.5348658Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7, getitem_8, getitem_9),), {}
2022-11-23T01:30:19.5348666Z 
2022-11-23T01:30:19.5349021Z [2022-11-23 01:23:10,394] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5349117Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5349210Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5349298Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5349392Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5349478Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5349553Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5349629Z              12 RETURN_VALUE
2022-11-23T01:30:19.5349634Z 
2022-11-23T01:30:19.5349696Z  
2022-11-23T01:30:19.5350025Z [2022-11-23 01:23:10,394] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5350163Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_64)
2022-11-23T01:30:19.5350267Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5350404Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5350510Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5350605Z               8 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5350710Z              10 BINARY_SUBSCR
2022-11-23T01:30:19.5350817Z              12 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5350905Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5350981Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.5351067Z              18 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5351129Z              20 BINARY_SUBSCR
2022-11-23T01:30:19.5351220Z              22 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5351305Z              24 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5351383Z              26 BINARY_SUBSCR
2022-11-23T01:30:19.5351471Z              28 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5351545Z              30 BINARY_SUBSCR
2022-11-23T01:30:19.5351637Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5351711Z              34 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5351786Z              36 BINARY_SUBSCR
2022-11-23T01:30:19.5351875Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5351949Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.5352040Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5352125Z              44 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5352199Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.5352284Z              48 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5352346Z              50 BINARY_SUBSCR
2022-11-23T01:30:19.5352436Z              52 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5352520Z              54 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5352597Z              56 BINARY_SUBSCR
2022-11-23T01:30:19.5352681Z              58 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5352757Z              60 BINARY_SUBSCR
2022-11-23T01:30:19.5352847Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5352919Z              64 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5352997Z              66 BINARY_SUBSCR
2022-11-23T01:30:19.5353083Z              68 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5353157Z              70 BINARY_SUBSCR
2022-11-23T01:30:19.5353244Z              72 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5353328Z              74 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5353403Z              76 BINARY_SUBSCR
2022-11-23T01:30:19.5353476Z              78 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5353550Z              80 BINARY_SUBSCR
2022-11-23T01:30:19.5353638Z              82 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5353726Z              84 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5353865Z              86 BINARY_SUBSCR
2022-11-23T01:30:19.5353954Z              88 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5354067Z              90 BINARY_SUBSCR
2022-11-23T01:30:19.5354144Z              92 CALL_FUNCTION            9
2022-11-23T01:30:19.5354250Z              94 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.5354380Z              96 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:19.5354477Z              98 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:19.5354567Z             100 CALL_FUNCTION            0
2022-11-23T01:30:19.5354662Z             102 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:19.5354763Z             104 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5354836Z             106 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5354914Z             108 BINARY_SUBSCR
2022-11-23T01:30:19.5355018Z             110 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5355138Z             112 LOAD_CONST               2 (1)
2022-11-23T01:30:19.5355214Z             114 BINARY_SUBSCR
2022-11-23T01:30:19.5355316Z             116 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5355402Z             118 LOAD_CONST               3 (2)
2022-11-23T01:30:19.5355464Z             120 BINARY_SUBSCR
2022-11-23T01:30:19.5355553Z             122 BUILD_TUPLE              3
2022-11-23T01:30:19.5355653Z             124 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5355741Z             126 LOAD_CONST               4 (3)
2022-11-23T01:30:19.5355815Z             128 BINARY_SUBSCR
2022-11-23T01:30:19.5355906Z             130 LOAD_CONST               0 (None)
2022-11-23T01:30:19.5355999Z             132 LOAD_CONST               0 (None)
2022-11-23T01:30:19.5356076Z             134 BUILD_TUPLE              3
2022-11-23T01:30:19.5356175Z             136 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5356266Z             138 LOAD_CONST               5 (4)
2022-11-23T01:30:19.5356342Z             140 BINARY_SUBSCR
2022-11-23T01:30:19.5356445Z             142 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5356533Z             144 LOAD_CONST               6 (5)
2022-11-23T01:30:19.5356609Z             146 BINARY_SUBSCR
2022-11-23T01:30:19.5356694Z             148 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5356781Z             150 LOAD_CONST               7 (6)
2022-11-23T01:30:19.5356856Z             152 BINARY_SUBSCR
2022-11-23T01:30:19.5356943Z             154 BUILD_TUPLE              3
2022-11-23T01:30:19.5357041Z             156 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5357127Z             158 LOAD_CONST               8 (7)
2022-11-23T01:30:19.5357201Z             160 BINARY_SUBSCR
2022-11-23T01:30:19.5357298Z             162 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5357372Z             164 LOAD_CONST               9 (8)
2022-11-23T01:30:19.5357449Z             166 BINARY_SUBSCR
2022-11-23T01:30:19.5357548Z             168 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.5357635Z             170 LOAD_CONST              10 (9)
2022-11-23T01:30:19.5357710Z             172 BINARY_SUBSCR
2022-11-23T01:30:19.5357797Z             174 BUILD_TUPLE              3
2022-11-23T01:30:19.5357884Z             176 BUILD_TUPLE              4
2022-11-23T01:30:19.5357963Z             178 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5358061Z             180 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:19.5358148Z             182 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5358223Z             184 BINARY_SUBSCR
2022-11-23T01:30:19.5358325Z             186 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:19.5358415Z             188 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5358511Z             190 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:19.5358588Z             192 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5358663Z             194 BINARY_SUBSCR
2022-11-23T01:30:19.5358763Z             196 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:19.5358866Z             198 RETURN_VALUE
2022-11-23T01:30:19.5358872Z 
2022-11-23T01:30:19.5358934Z  
2022-11-23T01:30:19.5359136Z [2022-11-23 01:23:10,395] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5359207Z  - 
2022-11-23T01:30:19.5359314Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5359381Z             {
2022-11-23T01:30:19.5359523Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5359711Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.5359831Z                 'obj_weakref': None
2022-11-23T01:30:19.5360062Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5360130Z             }
2022-11-23T01:30:19.5360181Z             
2022-11-23T01:30:19.5360281Z  - 
2022-11-23T01:30:19.5360404Z             local 'ex[0]' LIST_LENGTH
2022-11-23T01:30:19.5360469Z             {
2022-11-23T01:30:19.5360613Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5360805Z                 'code': ['___check_type_id(ex[0], 94571819097664)', 'len(ex[0]) == 3'],
2022-11-23T01:30:19.5360925Z                 'obj_weakref': None
2022-11-23T01:30:19.5361138Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:19.5361203Z             }
2022-11-23T01:30:19.5361266Z             
2022-11-23T01:30:19.5361334Z  - 
2022-11-23T01:30:19.5361457Z             local 'ex[1]' LIST_LENGTH
2022-11-23T01:30:19.5361521Z             {
2022-11-23T01:30:19.5361661Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5361840Z                 'code': ['___check_type_id(ex[1], 94571819097664)', 'len(ex[1]) == 3'],
2022-11-23T01:30:19.5361958Z                 'obj_weakref': None
2022-11-23T01:30:19.5362183Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:19.5362246Z             }
2022-11-23T01:30:19.5362309Z             
2022-11-23T01:30:19.5362379Z  - 
2022-11-23T01:30:19.5362500Z             local 'ex[2]' LIST_LENGTH
2022-11-23T01:30:19.5362550Z             {
2022-11-23T01:30:19.5362689Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5362879Z                 'code': ['___check_type_id(ex[2], 94571819097664)', 'len(ex[2]) == 3'],
2022-11-23T01:30:19.5362996Z                 'obj_weakref': None
2022-11-23T01:30:19.5363217Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:19.5363281Z             }
2022-11-23T01:30:19.5363345Z             
2022-11-23T01:30:19.5363402Z  - 
2022-11-23T01:30:19.5363533Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.5363597Z             {
2022-11-23T01:30:19.5363735Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5363905Z                 'code': ['___check_obj_id(model, 140692659483648)'],
2022-11-23T01:30:19.5364022Z                 'obj_weakref': None
2022-11-23T01:30:19.5364254Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.5364305Z             }
2022-11-23T01:30:19.5364370Z             
2022-11-23T01:30:19.5364439Z  - 
2022-11-23T01:30:19.5364561Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5364625Z             {
2022-11-23T01:30:19.5364760Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5364977Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5365081Z                 'obj_weakref': None
2022-11-23T01:30:19.5365300Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5365367Z             }
2022-11-23T01:30:19.5365433Z             
2022-11-23T01:30:19.5365503Z  - 
2022-11-23T01:30:19.5365631Z             local 'ex[0][0]' TENSOR_MATCH
2022-11-23T01:30:19.5365694Z             {
2022-11-23T01:30:19.5365822Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5365963Z                 'code': None,
2022-11-23T01:30:19.5366177Z                 'obj_weakref': <weakref at 0x7ff58fc46430; to 'Tensor' at 0x7ff58fd52110>
2022-11-23T01:30:19.5366430Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5366494Z             }
2022-11-23T01:30:19.5366558Z             
2022-11-23T01:30:19.5366626Z  - 
2022-11-23T01:30:19.5366740Z             local 'ex[0][1]' TENSOR_MATCH
2022-11-23T01:30:19.5366804Z             {
2022-11-23T01:30:19.5366946Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5367052Z                 'code': None,
2022-11-23T01:30:19.5367262Z                 'obj_weakref': <weakref at 0x7ff58fc47790; to 'Tensor' at 0x7ff58fd52750>
2022-11-23T01:30:19.5367545Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5367610Z             }
2022-11-23T01:30:19.5367662Z             
2022-11-23T01:30:19.5367731Z  - 
2022-11-23T01:30:19.5367859Z             local 'ex[0][2]' TENSOR_MATCH
2022-11-23T01:30:19.5367923Z             {
2022-11-23T01:30:19.5368065Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5368174Z                 'code': None,
2022-11-23T01:30:19.5368387Z                 'obj_weakref': <weakref at 0x7ff58fcd71f0; to 'Tensor' at 0x7ff58fc173d0>
2022-11-23T01:30:19.5368624Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5368686Z             }
2022-11-23T01:30:19.5368749Z             
2022-11-23T01:30:19.5368817Z  - 
2022-11-23T01:30:19.5368944Z             local 'ex[1][0]' TENSOR_MATCH
2022-11-23T01:30:19.5369007Z             {
2022-11-23T01:30:19.5369152Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5369244Z                 'code': None,
2022-11-23T01:30:19.5369455Z                 'obj_weakref': <weakref at 0x7ff58fcd65c0; to 'Tensor' at 0x7ff58fc169d0>
2022-11-23T01:30:19.5369705Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5369769Z             }
2022-11-23T01:30:19.5369832Z             
2022-11-23T01:30:19.5369900Z  - 
2022-11-23T01:30:19.5370029Z             local 'ex[1][1]' TENSOR_MATCH
2022-11-23T01:30:19.5370079Z             {
2022-11-23T01:30:19.5370223Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5370327Z                 'code': None,
2022-11-23T01:30:19.5370537Z                 'obj_weakref': <weakref at 0x7ff58fcd6390; to 'Tensor' at 0x7ff58fc15a80>
2022-11-23T01:30:19.5370786Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5370856Z             }
2022-11-23T01:30:19.5370920Z             
2022-11-23T01:30:19.5370975Z  - 
2022-11-23T01:30:19.5371103Z             local 'ex[1][2]' TENSOR_MATCH
2022-11-23T01:30:19.5371169Z             {
2022-11-23T01:30:19.5371310Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5371416Z                 'code': None,
2022-11-23T01:30:19.5371625Z                 'obj_weakref': <weakref at 0x7ff58fcd7ce0; to 'Tensor' at 0x7ff58fc16110>
2022-11-23T01:30:19.5371874Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5371938Z             }
2022-11-23T01:30:19.5371987Z             
2022-11-23T01:30:19.5372056Z  - 
2022-11-23T01:30:19.5372184Z             local 'ex[2][0]' TENSOR_MATCH
2022-11-23T01:30:19.5372247Z             {
2022-11-23T01:30:19.5372389Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5372496Z                 'code': None,
2022-11-23T01:30:19.5372693Z                 'obj_weakref': <weakref at 0x7ff58fcd4db0; to 'Tensor' at 0x7ff58fdc1030>
2022-11-23T01:30:19.5373001Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5373066Z             }
2022-11-23T01:30:19.5373128Z             
2022-11-23T01:30:19.5373196Z  - 
2022-11-23T01:30:19.5373323Z             local 'ex[2][1]' TENSOR_MATCH
2022-11-23T01:30:19.5373387Z             {
2022-11-23T01:30:19.5373515Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5373627Z                 'code': None,
2022-11-23T01:30:19.5373838Z                 'obj_weakref': <weakref at 0x7ff58fcd6c00; to 'Tensor' at 0x7ff58fdc2ac0>
2022-11-23T01:30:19.5374088Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5374152Z             }
2022-11-23T01:30:19.5374215Z             
2022-11-23T01:30:19.5374286Z  - 
2022-11-23T01:30:19.5374401Z             local 'ex[2][2]' TENSOR_MATCH
2022-11-23T01:30:19.5374537Z             {
2022-11-23T01:30:19.5374678Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5374786Z                 'code': None,
2022-11-23T01:30:19.5374997Z                 'obj_weakref': <weakref at 0x7ff58fcd5580; to 'Tensor' at 0x7ff58fcbb420>
2022-11-23T01:30:19.5375245Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5375310Z             }
2022-11-23T01:30:19.5375376Z             
2022-11-23T01:30:19.5375431Z  - 
2022-11-23T01:30:19.5375610Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:30:19.5375675Z             {
2022-11-23T01:30:19.5375817Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.5376097Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819095424)', 'model.__closure__[0].cell_contents == 4'],
2022-11-23T01:30:19.5376219Z                 'obj_weakref': None
2022-11-23T01:30:19.5376577Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:19.5376627Z             }
2022-11-23T01:30:19.5376693Z             
2022-11-23T01:30:19.5376765Z  - 
2022-11-23T01:30:19.5376898Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.5376962Z             {
2022-11-23T01:30:19.5377081Z                 'guard_types': None,
2022-11-23T01:30:19.5377187Z                 'code': None,
2022-11-23T01:30:19.5377292Z                 'obj_weakref': None
2022-11-23T01:30:19.5377413Z                 'guarded_class': None
2022-11-23T01:30:19.5377476Z             }
2022-11-23T01:30:19.5377540Z             
2022-11-23T01:30:19.5377801Z [2022-11-23 01:23:10,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 63
2022-11-23T01:30:19.5378174Z [2022-11-23 01:23:10,442] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjn2gdsbses4sdmgogfc6zh2ujfoinqq4jl2szxufhey4yyxneg7.py
2022-11-23T01:30:19.5378440Z [2022-11-23 01:23:10,442] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 63
2022-11-23T01:30:19.5378747Z [2022-11-23 01:23:10,443] torch._dynamo.eval_frame: [DEBUG] skipping make_cell /opt/conda/lib/python3.10/site-packages/torch/_dynamo/utils.py
2022-11-23T01:30:19.5378753Z 
2022-11-23T01:30:19.5378835Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5378904Z import torch
2022-11-23T01:30:19.5378974Z import random
2022-11-23T01:30:19.5379089Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5379209Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5379214Z 
2022-11-23T01:30:19.5379292Z aten = torch.ops.aten
2022-11-23T01:30:19.5379426Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5379507Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5379525Z 
2022-11-23T01:30:19.5379530Z 
2022-11-23T01:30:19.5379606Z async_compile.wait(globals())
2022-11-23T01:30:19.5379680Z del async_compile
2022-11-23T01:30:19.5379685Z 
2022-11-23T01:30:19.5379756Z def call(args):
2022-11-23T01:30:19.5379953Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args
2022-11-23T01:30:19.5380029Z     args.clear()
2022-11-23T01:30:19.5380192Z     buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T01:30:19.5380264Z     buf1 = buf0[0]
2022-11-23T01:30:19.5380358Z     assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:30:19.5380429Z     buf2 = buf0[1]
2022-11-23T01:30:19.5380533Z     assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:30:19.5380602Z     buf3 = buf0[2]
2022-11-23T01:30:19.5380696Z     assert_size_stride(buf3, (4, ), (1, ))
2022-11-23T01:30:19.5380763Z     del buf0
2022-11-23T01:30:19.5380925Z     buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False])
2022-11-23T01:30:19.5381015Z     del arg0_1
2022-11-23T01:30:19.5381083Z     del arg1_1
2022-11-23T01:30:19.5381150Z     del arg2_1
2022-11-23T01:30:19.5381218Z     buf5 = buf4[0]
2022-11-23T01:30:19.5381328Z     assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:30:19.5381393Z     del buf4
2022-11-23T01:30:19.5381550Z     buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True])
2022-11-23T01:30:19.5381604Z     del arg3_1
2022-11-23T01:30:19.5381672Z     del arg4_1
2022-11-23T01:30:19.5381739Z     del arg5_1
2022-11-23T01:30:19.5381807Z     buf7 = buf6[0]
2022-11-23T01:30:19.5381913Z     assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:30:19.5381983Z     buf8 = buf6[1]
2022-11-23T01:30:19.5382087Z     assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:30:19.5382141Z     buf9 = buf6[2]
2022-11-23T01:30:19.5382234Z     assert_size_stride(buf9, (4, ), (1, ))
2022-11-23T01:30:19.5382298Z     del buf6
2022-11-23T01:30:19.5382467Z     buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True])
2022-11-23T01:30:19.5382537Z     del arg6_1
2022-11-23T01:30:19.5382603Z     del arg7_1
2022-11-23T01:30:19.5382671Z     del arg8_1
2022-11-23T01:30:19.5382728Z     buf11 = buf10[0]
2022-11-23T01:30:19.5382837Z     assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1))
2022-11-23T01:30:19.5382909Z     buf12 = buf10[1]
2022-11-23T01:30:19.5383016Z     assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1))
2022-11-23T01:30:19.5383086Z     buf13 = buf10[2]
2022-11-23T01:30:19.5383180Z     assert_size_stride(buf13, (4, ), (1, ))
2022-11-23T01:30:19.5383246Z     del buf10
2022-11-23T01:30:19.5383361Z     return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, )
2022-11-23T01:30:19.5383366Z 
2022-11-23T01:30:19.5383384Z 
2022-11-23T01:30:19.5383448Z if __name__ == "__main__":
2022-11-23T01:30:19.5383562Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5383687Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5383903Z     arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5384115Z     arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5384322Z     arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5384525Z     arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5384718Z     arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5384921Z     arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5385135Z     arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5385355Z     arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5385572Z     arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5385767Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1]))
2022-11-23T01:30:19.5385774Z 
2022-11-23T01:30:19.5385843Z ok (0.123s)
2022-11-23T01:30:19.5386157Z   test_conv_bn_fuse_cpu (__main__.CpuTests) ... [2022-11-23 01:23:10,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5386477Z [2022-11-23 01:23:10,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5386692Z [2022-11-23 01:23:10,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5386920Z [2022-11-23 01:23:10,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5387220Z [2022-11-23 01:23:10,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5387535Z [2022-11-23 01:23:10,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5387872Z [2022-11-23 01:23:10,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5388181Z [2022-11-23 01:23:10,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5388426Z [2022-11-23 01:23:10,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5388659Z [2022-11-23 01:23:10,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5388914Z [2022-11-23 01:23:10,463] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5389169Z [2022-11-23 01:23:10,478] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5389344Z [2022-11-23 01:23:10,478] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5389478Z  __compiled_fn_65 <eval_with_key>.449 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5389568Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5389666Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5389761Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5389767Z 
2022-11-23T01:30:19.5390093Z [2022-11-23 01:23:10,478] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5390186Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5390276Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5390362Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5390455Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5390541Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5390617Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5390691Z              12 RETURN_VALUE
2022-11-23T01:30:19.5390695Z 
2022-11-23T01:30:19.5390755Z  
2022-11-23T01:30:19.5391073Z [2022-11-23 01:23:10,478] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5391179Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_65)
2022-11-23T01:30:19.5391266Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5391352Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5391427Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5391501Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5391588Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5391665Z              12 RETURN_VALUE
2022-11-23T01:30:19.5391670Z 
2022-11-23T01:30:19.5391729Z  
2022-11-23T01:30:19.5391939Z [2022-11-23 01:23:10,479] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5392011Z  - 
2022-11-23T01:30:19.5392128Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5392179Z             {
2022-11-23T01:30:19.5392318Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5392500Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5392617Z                 'obj_weakref': None
2022-11-23T01:30:19.5392840Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5392906Z             }
2022-11-23T01:30:19.5392970Z             
2022-11-23T01:30:19.5393027Z  - 
2022-11-23T01:30:19.5393151Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5393215Z             {
2022-11-23T01:30:19.5393358Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5393495Z                 'code': None,
2022-11-23T01:30:19.5393710Z                 'obj_weakref': <weakref at 0x7ff58fcbb100; to 'Tensor' at 0x7ff58fc8fa60>
2022-11-23T01:30:19.5394043Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5394094Z             }
2022-11-23T01:30:19.5394161Z             
2022-11-23T01:30:19.5394232Z  - 
2022-11-23T01:30:19.5394354Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5394420Z             {
2022-11-23T01:30:19.5394556Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5394728Z                 'code': ['___check_obj_id(model, 140693070779664)'],
2022-11-23T01:30:19.5394936Z                 'obj_weakref': <weakref at 0x7ff58fc8f6f0; to 'Sequential' at 0x7ff5a8819510>
2022-11-23T01:30:19.5395173Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5395242Z             }
2022-11-23T01:30:19.5395308Z             
2022-11-23T01:30:19.5395379Z  - 
2022-11-23T01:30:19.5395501Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5395567Z             {
2022-11-23T01:30:19.5395690Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5395907Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5396028Z                 'obj_weakref': None
2022-11-23T01:30:19.5396251Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5396316Z             }
2022-11-23T01:30:19.5396380Z             
2022-11-23T01:30:19.5396449Z  - 
2022-11-23T01:30:19.5396581Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5396644Z             {
2022-11-23T01:30:19.5396765Z                 'guard_types': None,
2022-11-23T01:30:19.5396874Z                 'code': None,
2022-11-23T01:30:19.5396991Z                 'obj_weakref': None
2022-11-23T01:30:19.5397115Z                 'guarded_class': None
2022-11-23T01:30:19.5397180Z             }
2022-11-23T01:30:19.5397229Z             
2022-11-23T01:30:19.5397298Z  - 
2022-11-23T01:30:19.5397445Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5397512Z             {
2022-11-23T01:30:19.5397632Z                 'guard_types': None,
2022-11-23T01:30:19.5397739Z                 'code': None,
2022-11-23T01:30:19.5397859Z                 'obj_weakref': None
2022-11-23T01:30:19.5397966Z                 'guarded_class': None
2022-11-23T01:30:19.5398026Z             }
2022-11-23T01:30:19.5398087Z             
2022-11-23T01:30:19.5398347Z [2022-11-23 01:23:10,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 64
2022-11-23T01:30:19.5398717Z [2022-11-23 01:23:10,493] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2jtuochcqvhw6lznbzsdg7zqps7ewyrsuaidc6orxynyzhcfyc.py
2022-11-23T01:30:19.5398980Z [2022-11-23 01:23:10,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 64
2022-11-23T01:30:19.5399258Z [2022-11-23 01:23:10,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5399573Z [2022-11-23 01:23:10,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5399776Z [2022-11-23 01:23:10,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5400021Z [2022-11-23 01:23:10,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5400290Z [2022-11-23 01:23:10,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5400602Z [2022-11-23 01:23:10,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5400964Z [2022-11-23 01:23:10,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5401275Z [2022-11-23 01:23:10,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5401518Z [2022-11-23 01:23:10,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5401748Z [2022-11-23 01:23:10,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5401997Z [2022-11-23 01:23:10,549] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5402243Z [2022-11-23 01:23:10,563] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5402416Z [2022-11-23 01:23:10,563] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5402552Z  __compiled_fn_66 <eval_with_key>.460 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5402640Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5402741Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5402840Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5402845Z 
2022-11-23T01:30:19.5403172Z [2022-11-23 01:23:10,564] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5403266Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5403354Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5403427Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5403517Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5403601Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5403688Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5403762Z              12 RETURN_VALUE
2022-11-23T01:30:19.5403770Z 
2022-11-23T01:30:19.5403829Z  
2022-11-23T01:30:19.5404148Z [2022-11-23 01:23:10,564] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5404243Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_66)
2022-11-23T01:30:19.5404331Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5404418Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5404494Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5404582Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5404670Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5404743Z              12 RETURN_VALUE
2022-11-23T01:30:19.5404748Z 
2022-11-23T01:30:19.5404808Z  
2022-11-23T01:30:19.5404979Z [2022-11-23 01:23:10,565] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5405047Z  - 
2022-11-23T01:30:19.5405163Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5405228Z             {
2022-11-23T01:30:19.5405366Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5405578Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5405698Z                 'obj_weakref': None
2022-11-23T01:30:19.5405910Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5405973Z             }
2022-11-23T01:30:19.5406034Z             
2022-11-23T01:30:19.5406103Z  - 
2022-11-23T01:30:19.5406224Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5406285Z             {
2022-11-23T01:30:19.5406413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5406518Z                 'code': None,
2022-11-23T01:30:19.5406727Z                 'obj_weakref': <weakref at 0x7ff58f904ea0; to 'Tensor' at 0x7ff58fd0bab0>
2022-11-23T01:30:19.5406980Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5407075Z             }
2022-11-23T01:30:19.5407136Z             
2022-11-23T01:30:19.5407204Z  - 
2022-11-23T01:30:19.5407323Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5407375Z             {
2022-11-23T01:30:19.5407509Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5407676Z                 'code': ['___check_obj_id(model, 140693063396336)'],
2022-11-23T01:30:19.5407894Z                 'obj_weakref': <weakref at 0x7ff58fc45620; to 'Sequential' at 0x7ff5a810ebf0>
2022-11-23T01:30:19.5408128Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5408191Z             }
2022-11-23T01:30:19.5408252Z             
2022-11-23T01:30:19.5408308Z  - 
2022-11-23T01:30:19.5408427Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5408491Z             {
2022-11-23T01:30:19.5408624Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5408839Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5408957Z                 'obj_weakref': None
2022-11-23T01:30:19.5409177Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5409228Z             }
2022-11-23T01:30:19.5409289Z             
2022-11-23T01:30:19.5409358Z  - 
2022-11-23T01:30:19.5409501Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5409562Z             {
2022-11-23T01:30:19.5409679Z                 'guard_types': None,
2022-11-23T01:30:19.5409784Z                 'code': None,
2022-11-23T01:30:19.5409888Z                 'obj_weakref': None
2022-11-23T01:30:19.5410006Z                 'guarded_class': None
2022-11-23T01:30:19.5410069Z             }
2022-11-23T01:30:19.5410130Z             
2022-11-23T01:30:19.5410196Z  - 
2022-11-23T01:30:19.5410337Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5410387Z             {
2022-11-23T01:30:19.5410505Z                 'guard_types': None,
2022-11-23T01:30:19.5410608Z                 'code': None,
2022-11-23T01:30:19.5410723Z                 'obj_weakref': None
2022-11-23T01:30:19.5410844Z                 'guarded_class': None
2022-11-23T01:30:19.5410904Z             }
2022-11-23T01:30:19.5410966Z             
2022-11-23T01:30:19.5411209Z [2022-11-23 01:23:10,573] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 65
2022-11-23T01:30:19.5411576Z [2022-11-23 01:23:10,578] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbgo6zg3hxep6ucflulhnkxcskunsqhdf2vi3axeohkbnjducvt.py
2022-11-23T01:30:19.5411833Z [2022-11-23 01:23:10,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 65
2022-11-23T01:30:19.5412066Z [2022-11-23 01:23:10,582] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5412379Z [2022-11-23 01:23:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5412595Z [2022-11-23 01:23:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5412865Z [2022-11-23 01:23:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5413132Z [2022-11-23 01:23:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5413440Z [2022-11-23 01:23:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5413772Z [2022-11-23 01:23:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5414068Z [2022-11-23 01:23:10,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5414340Z [2022-11-23 01:23:10,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5414571Z [2022-11-23 01:23:10,595] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5414822Z [2022-11-23 01:23:10,596] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5415067Z [2022-11-23 01:23:10,610] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5415253Z [2022-11-23 01:23:10,610] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5415386Z  __compiled_fn_67 <eval_with_key>.471 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5415472Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5415570Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5415656Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5415661Z 
2022-11-23T01:30:19.5415985Z [2022-11-23 01:23:10,610] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5416079Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5416170Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5416255Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5416345Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5416546Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5416622Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5416697Z              12 RETURN_VALUE
2022-11-23T01:30:19.5416703Z 
2022-11-23T01:30:19.5416764Z  
2022-11-23T01:30:19.5417083Z [2022-11-23 01:23:10,611] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5417190Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_67)
2022-11-23T01:30:19.5417284Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5417373Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5417450Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5417526Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5417615Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5417690Z              12 RETURN_VALUE
2022-11-23T01:30:19.5417696Z 
2022-11-23T01:30:19.5417756Z  
2022-11-23T01:30:19.5417939Z [2022-11-23 01:23:10,611] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5418007Z  - 
2022-11-23T01:30:19.5418125Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5418176Z             {
2022-11-23T01:30:19.5418314Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5418499Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5418617Z                 'obj_weakref': None
2022-11-23T01:30:19.5418841Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5418906Z             }
2022-11-23T01:30:19.5418971Z             
2022-11-23T01:30:19.5419026Z  - 
2022-11-23T01:30:19.5419204Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5419268Z             {
2022-11-23T01:30:19.5419412Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5419517Z                 'code': None,
2022-11-23T01:30:19.5419728Z                 'obj_weakref': <weakref at 0x7ff58f9841d0; to 'Tensor' at 0x7ff58fc8c630>
2022-11-23T01:30:19.5419977Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5420028Z             }
2022-11-23T01:30:19.5420090Z             
2022-11-23T01:30:19.5420158Z  - 
2022-11-23T01:30:19.5420277Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5420344Z             {
2022-11-23T01:30:19.5420477Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5420645Z                 'code': ['___check_obj_id(model, 140692862611952)'],
2022-11-23T01:30:19.5420897Z                 'obj_weakref': <weakref at 0x7ff58f95efc0; to 'Sequential' at 0x7ff59c1931f0>
2022-11-23T01:30:19.5421137Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5421201Z             }
2022-11-23T01:30:19.5421262Z             
2022-11-23T01:30:19.5421330Z  - 
2022-11-23T01:30:19.5421451Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5421512Z             {
2022-11-23T01:30:19.5421636Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5421851Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5421967Z                 'obj_weakref': None
2022-11-23T01:30:19.5422184Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5422247Z             }
2022-11-23T01:30:19.5422308Z             
2022-11-23T01:30:19.5422377Z  - 
2022-11-23T01:30:19.5422507Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5422567Z             {
2022-11-23T01:30:19.5422687Z                 'guard_types': None,
2022-11-23T01:30:19.5422792Z                 'code': None,
2022-11-23T01:30:19.5422908Z                 'obj_weakref': None
2022-11-23T01:30:19.5423027Z                 'guarded_class': None
2022-11-23T01:30:19.5423088Z             }
2022-11-23T01:30:19.5423138Z             
2022-11-23T01:30:19.5423204Z  - 
2022-11-23T01:30:19.5423348Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5423409Z             {
2022-11-23T01:30:19.5423525Z                 'guard_types': None,
2022-11-23T01:30:19.5423629Z                 'code': None,
2022-11-23T01:30:19.5423743Z                 'obj_weakref': None
2022-11-23T01:30:19.5423851Z                 'guarded_class': None
2022-11-23T01:30:19.5423911Z             }
2022-11-23T01:30:19.5423972Z             
2022-11-23T01:30:19.5424230Z [2022-11-23 01:23:10,620] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 66
2022-11-23T01:30:19.5424587Z [2022-11-23 01:23:10,625] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5bkvzfu766vcb2szu6f362egmjy4ou2m7jmfo3t3cl63jpoblyo.py
2022-11-23T01:30:19.5424847Z [2022-11-23 01:23:10,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 66
2022-11-23T01:30:19.5425079Z [2022-11-23 01:23:10,629] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5425391Z [2022-11-23 01:23:10,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5425592Z [2022-11-23 01:23:10,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5425833Z [2022-11-23 01:23:10,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5426102Z [2022-11-23 01:23:10,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5426454Z [2022-11-23 01:23:10,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5426788Z [2022-11-23 01:23:10,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5427098Z [2022-11-23 01:23:10,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5427341Z [2022-11-23 01:23:10,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5427572Z [2022-11-23 01:23:10,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5427820Z [2022-11-23 01:23:10,642] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5428096Z [2022-11-23 01:23:10,657] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5428269Z [2022-11-23 01:23:10,657] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5428401Z  __compiled_fn_68 <eval_with_key>.482 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5428490Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5428588Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5428685Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5428691Z 
2022-11-23T01:30:19.5429011Z [2022-11-23 01:23:10,657] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5429104Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5429194Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5429269Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5429362Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5429447Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5429535Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5429612Z              12 RETURN_VALUE
2022-11-23T01:30:19.5429618Z 
2022-11-23T01:30:19.5429676Z  
2022-11-23T01:30:19.5429993Z [2022-11-23 01:23:10,657] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5430099Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_68)
2022-11-23T01:30:19.5430177Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5430263Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5430339Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5430427Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5430514Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5430590Z              12 RETURN_VALUE
2022-11-23T01:30:19.5430595Z 
2022-11-23T01:30:19.5430653Z  
2022-11-23T01:30:19.5430825Z [2022-11-23 01:23:10,658] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5430895Z  - 
2022-11-23T01:30:19.5431011Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5431073Z             {
2022-11-23T01:30:19.5431211Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5431398Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5431514Z                 'obj_weakref': None
2022-11-23T01:30:19.5431726Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5431788Z             }
2022-11-23T01:30:19.5431849Z             
2022-11-23T01:30:19.5431918Z  - 
2022-11-23T01:30:19.5432043Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5432104Z             {
2022-11-23T01:30:19.5432245Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5432340Z                 'code': None,
2022-11-23T01:30:19.5432549Z                 'obj_weakref': <weakref at 0x7ff58f984d10; to 'Tensor' at 0x7ff58fcbb650>
2022-11-23T01:30:19.5432830Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5432892Z             }
2022-11-23T01:30:19.5432954Z             
2022-11-23T01:30:19.5433021Z  - 
2022-11-23T01:30:19.5433139Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5433189Z             {
2022-11-23T01:30:19.5433322Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5433491Z                 'code': ['___check_obj_id(model, 140692658049984)'],
2022-11-23T01:30:19.5433710Z                 'obj_weakref': <weakref at 0x7ff58f9861b0; to 'Sequential' at 0x7ff58fe7d3c0>
2022-11-23T01:30:19.5434030Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5434135Z             }
2022-11-23T01:30:19.5434201Z             
2022-11-23T01:30:19.5434261Z  - 
2022-11-23T01:30:19.5434384Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5434448Z             {
2022-11-23T01:30:19.5434586Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5434806Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5434926Z                 'obj_weakref': None
2022-11-23T01:30:19.5435146Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5435196Z             }
2022-11-23T01:30:19.5435259Z             
2022-11-23T01:30:19.5435329Z  - 
2022-11-23T01:30:19.5435472Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5435536Z             {
2022-11-23T01:30:19.5435657Z                 'guard_types': None,
2022-11-23T01:30:19.5435764Z                 'code': None,
2022-11-23T01:30:19.5435867Z                 'obj_weakref': None
2022-11-23T01:30:19.5435991Z                 'guarded_class': None
2022-11-23T01:30:19.5436056Z             }
2022-11-23T01:30:19.5436121Z             
2022-11-23T01:30:19.5436190Z  - 
2022-11-23T01:30:19.5436336Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5436385Z             {
2022-11-23T01:30:19.5436505Z                 'guard_types': None,
2022-11-23T01:30:19.5436612Z                 'code': None,
2022-11-23T01:30:19.5436730Z                 'obj_weakref': None
2022-11-23T01:30:19.5436852Z                 'guarded_class': None
2022-11-23T01:30:19.5436915Z             }
2022-11-23T01:30:19.5436979Z             
2022-11-23T01:30:19.5437222Z [2022-11-23 01:23:10,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 67
2022-11-23T01:30:19.5437590Z [2022-11-23 01:23:10,672] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilond3i4c23ecbqnj5uhp2h2rvopswcllvrvwhmv5nxksf65kvx.py
2022-11-23T01:30:19.5437852Z [2022-11-23 01:23:10,672] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 67
2022-11-23T01:30:19.5438091Z [2022-11-23 01:23:10,676] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5438408Z [2022-11-23 01:23:10,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5438624Z [2022-11-23 01:23:10,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5438865Z [2022-11-23 01:23:10,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5439134Z [2022-11-23 01:23:10,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5439448Z [2022-11-23 01:23:10,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5439783Z [2022-11-23 01:23:10,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5440116Z [2022-11-23 01:23:10,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5440363Z [2022-11-23 01:23:10,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5440596Z [2022-11-23 01:23:10,690] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5440849Z [2022-11-23 01:23:10,690] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5441098Z [2022-11-23 01:23:10,705] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5441289Z [2022-11-23 01:23:10,705] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5441456Z  __compiled_fn_69 <eval_with_key>.493 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5441546Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5441646Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5441734Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5441741Z 
2022-11-23T01:30:19.5442065Z [2022-11-23 01:23:10,705] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5442159Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5442252Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5442339Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5442433Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5442519Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5442606Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5442669Z              12 RETURN_VALUE
2022-11-23T01:30:19.5442675Z 
2022-11-23T01:30:19.5442734Z  
2022-11-23T01:30:19.5443053Z [2022-11-23 01:23:10,705] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5443159Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_69)
2022-11-23T01:30:19.5443247Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5443336Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5443415Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5443491Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5443581Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5443654Z              12 RETURN_VALUE
2022-11-23T01:30:19.5443659Z 
2022-11-23T01:30:19.5443717Z  
2022-11-23T01:30:19.5443895Z [2022-11-23 01:23:10,706] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5443963Z  - 
2022-11-23T01:30:19.5444079Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5444130Z             {
2022-11-23T01:30:19.5444270Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5444454Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5444573Z                 'obj_weakref': None
2022-11-23T01:30:19.5444796Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5444860Z             }
2022-11-23T01:30:19.5444922Z             
2022-11-23T01:30:19.5444977Z  - 
2022-11-23T01:30:19.5445097Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5445158Z             {
2022-11-23T01:30:19.5445301Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5445406Z                 'code': None,
2022-11-23T01:30:19.5445614Z                 'obj_weakref': <weakref at 0x7ff58f97d800; to 'Tensor' at 0x7ff58f95dc60>
2022-11-23T01:30:19.5445866Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5445931Z             }
2022-11-23T01:30:19.5445981Z             
2022-11-23T01:30:19.5446049Z  - 
2022-11-23T01:30:19.5446167Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5446258Z             {
2022-11-23T01:30:19.5446392Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5446561Z                 'code': ['___check_obj_id(model, 140692861170784)'],
2022-11-23T01:30:19.5446766Z                 'obj_weakref': <weakref at 0x7ff58f95fa60; to 'Sequential' at 0x7ff59c033460>
2022-11-23T01:30:19.5446999Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5447061Z             }
2022-11-23T01:30:19.5447122Z             
2022-11-23T01:30:19.5447189Z  - 
2022-11-23T01:30:19.5447308Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5447368Z             {
2022-11-23T01:30:19.5447490Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5447703Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5447851Z                 'obj_weakref': None
2022-11-23T01:30:19.5448071Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5448133Z             }
2022-11-23T01:30:19.5448194Z             
2022-11-23T01:30:19.5448260Z  - 
2022-11-23T01:30:19.5448390Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5448452Z             {
2022-11-23T01:30:19.5448569Z                 'guard_types': None,
2022-11-23T01:30:19.5448673Z                 'code': None,
2022-11-23T01:30:19.5448786Z                 'obj_weakref': None
2022-11-23T01:30:19.5448904Z                 'guarded_class': None
2022-11-23T01:30:19.5448965Z             }
2022-11-23T01:30:19.5449014Z             
2022-11-23T01:30:19.5449081Z  - 
2022-11-23T01:30:19.5449223Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5449285Z             {
2022-11-23T01:30:19.5449400Z                 'guard_types': None,
2022-11-23T01:30:19.5449505Z                 'code': None,
2022-11-23T01:30:19.5449625Z                 'obj_weakref': None
2022-11-23T01:30:19.5449734Z                 'guarded_class': None
2022-11-23T01:30:19.5449798Z             }
2022-11-23T01:30:19.5449860Z             
2022-11-23T01:30:19.5450116Z [2022-11-23 01:23:10,848] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 68
2022-11-23T01:30:19.5450475Z [2022-11-23 01:23:10,853] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkqk26t3q4kjfdd3rtbmmgj5ioxyn3zlnwn2iywex62ojktidei.py
2022-11-23T01:30:19.5450733Z [2022-11-23 01:23:10,854] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 68
2022-11-23T01:30:19.5450966Z [2022-11-23 01:23:10,860] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5451279Z [2022-11-23 01:23:10,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5451482Z [2022-11-23 01:23:10,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5451723Z [2022-11-23 01:23:10,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5451988Z [2022-11-23 01:23:10,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5452295Z [2022-11-23 01:23:10,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5452624Z [2022-11-23 01:23:10,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5452931Z [2022-11-23 01:23:10,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5453177Z [2022-11-23 01:23:10,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5453438Z [2022-11-23 01:23:10,873] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5453689Z [2022-11-23 01:23:10,874] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5453936Z [2022-11-23 01:23:10,888] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5454111Z [2022-11-23 01:23:10,889] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5454244Z  __compiled_fn_70 <eval_with_key>.504 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5454330Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5454428Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5454524Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5454530Z 
2022-11-23T01:30:19.5454847Z [2022-11-23 01:23:10,889] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5454972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5455060Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5455133Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5455223Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5455306Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5455393Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5455468Z              12 RETURN_VALUE
2022-11-23T01:30:19.5455473Z 
2022-11-23T01:30:19.5455532Z  
2022-11-23T01:30:19.5455848Z [2022-11-23 01:23:10,889] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5455955Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_70)
2022-11-23T01:30:19.5456034Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5456121Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5456198Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5456285Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5456373Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5456558Z              12 RETURN_VALUE
2022-11-23T01:30:19.5456563Z 
2022-11-23T01:30:19.5456623Z  
2022-11-23T01:30:19.5456796Z [2022-11-23 01:23:10,890] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5456864Z  - 
2022-11-23T01:30:19.5456981Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5457045Z             {
2022-11-23T01:30:19.5457184Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5457369Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5457487Z                 'obj_weakref': None
2022-11-23T01:30:19.5457699Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5457765Z             }
2022-11-23T01:30:19.5457827Z             
2022-11-23T01:30:19.5457896Z  - 
2022-11-23T01:30:19.5458021Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5458088Z             {
2022-11-23T01:30:19.5458230Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5458322Z                 'code': None,
2022-11-23T01:30:19.5458533Z                 'obj_weakref': <weakref at 0x7ff58fdc1a30; to 'Tensor' at 0x7ff58fdc1940>
2022-11-23T01:30:19.5458784Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5458847Z             }
2022-11-23T01:30:19.5458909Z             
2022-11-23T01:30:19.5458976Z  - 
2022-11-23T01:30:19.5459094Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5459144Z             {
2022-11-23T01:30:19.5459276Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5459445Z                 'code': ['___check_obj_id(model, 140692657571776)'],
2022-11-23T01:30:19.5459669Z                 'obj_weakref': <weakref at 0x7ff58fdc0cc0; to 'Sequential' at 0x7ff58fe087c0>
2022-11-23T01:30:19.5459954Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5460022Z             }
2022-11-23T01:30:19.5460084Z             
2022-11-23T01:30:19.5460140Z  - 
2022-11-23T01:30:19.5460263Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5460327Z             {
2022-11-23T01:30:19.5460463Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5460679Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5460796Z                 'obj_weakref': None
2022-11-23T01:30:19.5461018Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5461068Z             }
2022-11-23T01:30:19.5461129Z             
2022-11-23T01:30:19.5461234Z  - 
2022-11-23T01:30:19.5461379Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5461444Z             {
2022-11-23T01:30:19.5461561Z                 'guard_types': None,
2022-11-23T01:30:19.5461669Z                 'code': None,
2022-11-23T01:30:19.5461772Z                 'obj_weakref': None
2022-11-23T01:30:19.5461891Z                 'guarded_class': None
2022-11-23T01:30:19.5461956Z             }
2022-11-23T01:30:19.5462017Z             
2022-11-23T01:30:19.5462083Z  - 
2022-11-23T01:30:19.5462228Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5462290Z             {
2022-11-23T01:30:19.5462395Z                 'guard_types': None,
2022-11-23T01:30:19.5462499Z                 'code': None,
2022-11-23T01:30:19.5462615Z                 'obj_weakref': None
2022-11-23T01:30:19.5462732Z                 'guarded_class': None
2022-11-23T01:30:19.5462794Z             }
2022-11-23T01:30:19.5462857Z             
2022-11-23T01:30:19.5463100Z [2022-11-23 01:23:10,898] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 69
2022-11-23T01:30:19.5463121Z 
2022-11-23T01:30:19.5463201Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5463271Z import torch
2022-11-23T01:30:19.5463339Z import random
2022-11-23T01:30:19.5463453Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5463571Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5463576Z 
2022-11-23T01:30:19.5463652Z aten = torch.ops.aten
2022-11-23T01:30:19.5463784Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5463862Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5463867Z 
2022-11-23T01:30:19.5463883Z 
2022-11-23T01:30:19.5463958Z async_compile.wait(globals())
2022-11-23T01:30:19.5464029Z del async_compile
2022-11-23T01:30:19.5464034Z 
2022-11-23T01:30:19.5464103Z def call(args):
2022-11-23T01:30:19.5464220Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5464293Z     args.clear()
2022-11-23T01:30:19.5464421Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T01:30:19.5464526Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T01:30:19.5464582Z     del arg0_1
2022-11-23T01:30:19.5464647Z     del arg1_1
2022-11-23T01:30:19.5464711Z     del arg7_1
2022-11-23T01:30:19.5464781Z     return (buf0, )
2022-11-23T01:30:19.5464786Z 
2022-11-23T01:30:19.5464790Z 
2022-11-23T01:30:19.5464864Z if __name__ == "__main__":
2022-11-23T01:30:19.5464977Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5465096Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5465289Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5465480Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5465669Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5465856Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5466039Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5466256Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5466436Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5466641Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5466785Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5466802Z 
2022-11-23T01:30:19.5466806Z 
2022-11-23T01:30:19.5466887Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5466955Z import torch
2022-11-23T01:30:19.5467024Z import random
2022-11-23T01:30:19.5467138Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5467258Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5467292Z 
2022-11-23T01:30:19.5467371Z aten = torch.ops.aten
2022-11-23T01:30:19.5467503Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5467582Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5467599Z 
2022-11-23T01:30:19.5467604Z 
2022-11-23T01:30:19.5467679Z async_compile.wait(globals())
2022-11-23T01:30:19.5467751Z del async_compile
2022-11-23T01:30:19.5467755Z 
2022-11-23T01:30:19.5467825Z def call(args):
2022-11-23T01:30:19.5467942Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5468012Z     args.clear()
2022-11-23T01:30:19.5468141Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T01:30:19.5468246Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T01:30:19.5468301Z     del arg0_1
2022-11-23T01:30:19.5468368Z     del arg1_1
2022-11-23T01:30:19.5468432Z     del arg7_1
2022-11-23T01:30:19.5468501Z     return (buf0, )
2022-11-23T01:30:19.5468508Z 
2022-11-23T01:30:19.5468512Z 
2022-11-23T01:30:19.5468586Z if __name__ == "__main__":
2022-11-23T01:30:19.5468699Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5468822Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5469028Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5469209Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5469401Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5469589Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5469776Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5469961Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5470138Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5470347Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5470502Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5470507Z 
2022-11-23T01:30:19.5470511Z 
2022-11-23T01:30:19.5470592Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5470660Z import torch
2022-11-23T01:30:19.5470729Z import random
2022-11-23T01:30:19.5470841Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5470960Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5470965Z 
2022-11-23T01:30:19.5471040Z aten = torch.ops.aten
2022-11-23T01:30:19.5471173Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5471262Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5471267Z 
2022-11-23T01:30:19.5471271Z 
2022-11-23T01:30:19.5471345Z async_compile.wait(globals())
2022-11-23T01:30:19.5471415Z del async_compile
2022-11-23T01:30:19.5471421Z 
2022-11-23T01:30:19.5471490Z def call(args):
2022-11-23T01:30:19.5471608Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5471679Z     args.clear()
2022-11-23T01:30:19.5471850Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T01:30:19.5471958Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T01:30:19.5472027Z     del arg0_1
2022-11-23T01:30:19.5472080Z     del arg1_1
2022-11-23T01:30:19.5472145Z     del arg7_1
2022-11-23T01:30:19.5472219Z     return (buf0, )
2022-11-23T01:30:19.5472224Z 
2022-11-23T01:30:19.5472228Z 
2022-11-23T01:30:19.5472305Z if __name__ == "__main__":
2022-11-23T01:30:19.5472420Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5472543Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5472750Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5472929Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5473153Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5473342Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5473531Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5473716Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5473967Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5474179Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5474335Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5474340Z 
2022-11-23T01:30:19.5474344Z 
2022-11-23T01:30:19.5474440Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5474498Z import torch
2022-11-23T01:30:19.5474572Z import random
2022-11-23T01:30:19.5474688Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5474810Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5474815Z 
2022-11-23T01:30:19.5474897Z aten = torch.ops.aten
2022-11-23T01:30:19.5475031Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5475124Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5475128Z 
2022-11-23T01:30:19.5475133Z 
2022-11-23T01:30:19.5475223Z async_compile.wait(globals())
2022-11-23T01:30:19.5475282Z del async_compile
2022-11-23T01:30:19.5475287Z 
2022-11-23T01:30:19.5475359Z def call(args):
2022-11-23T01:30:19.5475478Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5475551Z     args.clear()
2022-11-23T01:30:19.5475681Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T01:30:19.5475790Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T01:30:19.5475861Z     del arg0_1
2022-11-23T01:30:19.5475915Z     del arg1_1
2022-11-23T01:30:19.5475982Z     del arg7_1
2022-11-23T01:30:19.5476054Z     return (buf0, )
2022-11-23T01:30:19.5476058Z 
2022-11-23T01:30:19.5476064Z 
2022-11-23T01:30:19.5476141Z if __name__ == "__main__":
2022-11-23T01:30:19.5476260Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5476382Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5476589Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5476768Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5476962Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5477152Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5477341Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5477528Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5477710Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5477989Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5478141Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5478146Z 
2022-11-23T01:30:19.5478151Z 
2022-11-23T01:30:19.5478246Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5478302Z import torch
2022-11-23T01:30:19.5478374Z import random
2022-11-23T01:30:19.5478489Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5478609Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5478614Z 
2022-11-23T01:30:19.5478690Z aten = torch.ops.aten
2022-11-23T01:30:19.5478821Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5478911Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5478943Z 
2022-11-23T01:30:19.5478947Z 
2022-11-23T01:30:19.5479038Z async_compile.wait(globals())
2022-11-23T01:30:19.5479098Z del async_compile
2022-11-23T01:30:19.5479102Z 
2022-11-23T01:30:19.5479174Z def call(args):
2022-11-23T01:30:19.5479289Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5479360Z     args.clear()
2022-11-23T01:30:19.5479488Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T01:30:19.5479592Z     assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1))
2022-11-23T01:30:19.5479659Z     del arg0_1
2022-11-23T01:30:19.5479714Z     del arg1_1
2022-11-23T01:30:19.5479778Z     del arg7_1
2022-11-23T01:30:19.5479849Z     return (buf0, )
2022-11-23T01:30:19.5479853Z 
2022-11-23T01:30:19.5479857Z 
2022-11-23T01:30:19.5479932Z if __name__ == "__main__":
2022-11-23T01:30:19.5480043Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5480168Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5480371Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5480561Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5480738Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5480922Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5481104Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5481286Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5481462Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5481666Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5481820Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5481827Z 
2022-11-23T01:30:19.5482199Z [2022-11-23 01:23:10,903] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chvacu23sujoub7knlimjkkablr24auqimctyvztouh2gaprik4g.py
2022-11-23T01:30:19.5482463Z [2022-11-23 01:23:10,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 69
2022-11-23T01:30:19.5482686Z [2022-11-23 01:23:10,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5482997Z [2022-11-23 01:23:10,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5483212Z [2022-11-23 01:23:10,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5483454Z [2022-11-23 01:23:10,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5483719Z [2022-11-23 01:23:10,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5484059Z [2022-11-23 01:23:10,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5484394Z [2022-11-23 01:23:10,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5484703Z [2022-11-23 01:23:10,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5484948Z [2022-11-23 01:23:10,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5485178Z [2022-11-23 01:23:10,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5485417Z [2022-11-23 01:23:10,921] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5485696Z [2022-11-23 01:23:10,936] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5485887Z [2022-11-23 01:23:10,936] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5486021Z  __compiled_fn_71 <eval_with_key>.515 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5486109Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5486205Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5486301Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5486307Z 
2022-11-23T01:30:19.5486630Z [2022-11-23 01:23:10,937] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5486710Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5486799Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5486883Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5486973Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5487059Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5487145Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5487221Z              12 RETURN_VALUE
2022-11-23T01:30:19.5487226Z 
2022-11-23T01:30:19.5487275Z  
2022-11-23T01:30:19.5487594Z [2022-11-23 01:23:10,937] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5487700Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_71)
2022-11-23T01:30:19.5487788Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5487877Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5487952Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5488041Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5488129Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5488192Z              12 RETURN_VALUE
2022-11-23T01:30:19.5488198Z 
2022-11-23T01:30:19.5488259Z  
2022-11-23T01:30:19.5488441Z [2022-11-23 01:23:10,938] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5488510Z  - 
2022-11-23T01:30:19.5488628Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5488691Z             {
2022-11-23T01:30:19.5488829Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5489001Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5489117Z                 'obj_weakref': None
2022-11-23T01:30:19.5489339Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5489405Z             }
2022-11-23T01:30:19.5489467Z             
2022-11-23T01:30:19.5489535Z  - 
2022-11-23T01:30:19.5489656Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5489706Z             {
2022-11-23T01:30:19.5489846Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5489952Z                 'code': None,
2022-11-23T01:30:19.5490166Z                 'obj_weakref': <weakref at 0x7ff59c0c7d80; to 'Tensor' at 0x7ff5a8445e90>
2022-11-23T01:30:19.5490448Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5490511Z             }
2022-11-23T01:30:19.5490571Z             
2022-11-23T01:30:19.5490626Z  - 
2022-11-23T01:30:19.5490744Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5490806Z             {
2022-11-23T01:30:19.5490937Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5491104Z                 'code': ['___check_obj_id(model, 140693070126752)'],
2022-11-23T01:30:19.5491319Z                 'obj_weakref': <weakref at 0x7ff59c0c76f0; to 'Sequential' at 0x7ff5a8779ea0>
2022-11-23T01:30:19.5491552Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5491602Z             }
2022-11-23T01:30:19.5491663Z             
2022-11-23T01:30:19.5491730Z  - 
2022-11-23T01:30:19.5491879Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5491940Z             {
2022-11-23T01:30:19.5492073Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5492292Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5492397Z                 'obj_weakref': None
2022-11-23T01:30:19.5492616Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5492677Z             }
2022-11-23T01:30:19.5492739Z             
2022-11-23T01:30:19.5492806Z  - 
2022-11-23T01:30:19.5492949Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5493011Z             {
2022-11-23T01:30:19.5493116Z                 'guard_types': None,
2022-11-23T01:30:19.5493220Z                 'code': None,
2022-11-23T01:30:19.5493335Z                 'obj_weakref': None
2022-11-23T01:30:19.5493452Z                 'guarded_class': None
2022-11-23T01:30:19.5493515Z             }
2022-11-23T01:30:19.5493578Z             
2022-11-23T01:30:19.5493644Z  - 
2022-11-23T01:30:19.5493777Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5493844Z             {
2022-11-23T01:30:19.5493963Z                 'guard_types': None,
2022-11-23T01:30:19.5494068Z                 'code': None,
2022-11-23T01:30:19.5494182Z                 'obj_weakref': None
2022-11-23T01:30:19.5494299Z                 'guarded_class': None
2022-11-23T01:30:19.5494360Z             }
2022-11-23T01:30:19.5494410Z             
2022-11-23T01:30:19.5494665Z [2022-11-23 01:23:10,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 70
2022-11-23T01:30:19.5495026Z [2022-11-23 01:23:10,951] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcycmpbaay4knv4m4j2m23rs7nm7x6au56hvyzsuyku5hrxfcoz.py
2022-11-23T01:30:19.5495288Z [2022-11-23 01:23:10,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 70
2022-11-23T01:30:19.5495524Z [2022-11-23 01:23:10,956] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5495837Z [2022-11-23 01:23:10,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5496053Z [2022-11-23 01:23:10,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5496295Z [2022-11-23 01:23:10,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5496672Z [2022-11-23 01:23:10,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5496971Z [2022-11-23 01:23:10,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5497390Z [2022-11-23 01:23:10,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5497808Z [2022-11-23 01:23:10,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5498055Z [2022-11-23 01:23:10,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5498287Z [2022-11-23 01:23:10,969] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5498539Z [2022-11-23 01:23:10,970] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5498787Z [2022-11-23 01:23:10,984] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5498974Z [2022-11-23 01:23:10,984] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5499107Z  __compiled_fn_72 <eval_with_key>.526 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5499220Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5499317Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5499416Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5499423Z 
2022-11-23T01:30:19.5499747Z [2022-11-23 01:23:10,985] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5499840Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5499926Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5500011Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5500101Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5500173Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5500258Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5500332Z              12 RETURN_VALUE
2022-11-23T01:30:19.5500337Z 
2022-11-23T01:30:19.5500398Z  
2022-11-23T01:30:19.5500717Z [2022-11-23 01:23:10,985] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5500828Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_72)
2022-11-23T01:30:19.5500917Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5501003Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5501066Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5501151Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5501240Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5501313Z              12 RETURN_VALUE
2022-11-23T01:30:19.5501318Z 
2022-11-23T01:30:19.5501377Z  
2022-11-23T01:30:19.5501555Z [2022-11-23 01:23:10,986] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5501623Z  - 
2022-11-23T01:30:19.5501729Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5501791Z             {
2022-11-23T01:30:19.5501930Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5502117Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5502233Z                 'obj_weakref': None
2022-11-23T01:30:19.5502463Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5502525Z             }
2022-11-23T01:30:19.5502576Z             
2022-11-23T01:30:19.5502645Z  - 
2022-11-23T01:30:19.5502768Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5502829Z             {
2022-11-23T01:30:19.5502967Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5503073Z                 'code': None,
2022-11-23T01:30:19.5503285Z                 'obj_weakref': <weakref at 0x7ff59c047ec0; to 'Tensor' at 0x7ff5a9903fb0>
2022-11-23T01:30:19.5503523Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5503586Z             }
2022-11-23T01:30:19.5503648Z             
2022-11-23T01:30:19.5503717Z  - 
2022-11-23T01:30:19.5503833Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5503895Z             {
2022-11-23T01:30:19.5504026Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5504211Z                 'code': ['___check_obj_id(model, 140693070133664)'],
2022-11-23T01:30:19.5504429Z                 'obj_weakref': <weakref at 0x7ff59c0c72e0; to 'Sequential' at 0x7ff5a877b9a0>
2022-11-23T01:30:19.5504661Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5504725Z             }
2022-11-23T01:30:19.5504787Z             
2022-11-23T01:30:19.5504854Z  - 
2022-11-23T01:30:19.5504974Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5505024Z             {
2022-11-23T01:30:19.5505159Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5505375Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5505490Z                 'obj_weakref': None
2022-11-23T01:30:19.5505742Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5505806Z             }
2022-11-23T01:30:19.5505873Z             
2022-11-23T01:30:19.5505928Z  - 
2022-11-23T01:30:19.5506071Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5506131Z             {
2022-11-23T01:30:19.5506250Z                 'guard_types': None,
2022-11-23T01:30:19.5506354Z                 'code': None,
2022-11-23T01:30:19.5506469Z                 'obj_weakref': None
2022-11-23T01:30:19.5506589Z                 'guarded_class': None
2022-11-23T01:30:19.5506638Z             }
2022-11-23T01:30:19.5506702Z             
2022-11-23T01:30:19.5506769Z  - 
2022-11-23T01:30:19.5506914Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5506975Z             {
2022-11-23T01:30:19.5507091Z                 'guard_types': None,
2022-11-23T01:30:19.5507181Z                 'code': None,
2022-11-23T01:30:19.5507298Z                 'obj_weakref': None
2022-11-23T01:30:19.5507418Z                 'guarded_class': None
2022-11-23T01:30:19.5507479Z             }
2022-11-23T01:30:19.5507544Z             
2022-11-23T01:30:19.5507799Z [2022-11-23 01:23:10,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 71
2022-11-23T01:30:19.5508166Z [2022-11-23 01:23:10,999] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calrwpzvq6bxx6miwie35wa7n3h3aoan2uifrzrgaog7dufzizw2.py
2022-11-23T01:30:19.5508426Z [2022-11-23 01:23:10,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 71
2022-11-23T01:30:19.5508650Z [2022-11-23 01:23:11,003] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5508961Z [2022-11-23 01:23:11,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5509176Z [2022-11-23 01:23:11,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5509420Z [2022-11-23 01:23:11,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5509684Z [2022-11-23 01:23:11,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5509994Z [2022-11-23 01:23:11,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5510327Z [2022-11-23 01:23:11,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5510637Z [2022-11-23 01:23:11,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5510878Z [2022-11-23 01:23:11,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5511112Z [2022-11-23 01:23:11,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5511382Z [2022-11-23 01:23:11,017] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5511629Z [2022-11-23 01:23:11,030] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5511816Z [2022-11-23 01:23:11,031] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5511947Z  __compiled_fn_73 <eval_with_key>.537 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5512035Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5512132Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5512228Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5512234Z 
2022-11-23T01:30:19.5512555Z [2022-11-23 01:23:11,031] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5512664Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5512754Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5512842Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5512937Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5513020Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5513106Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5513180Z              12 RETURN_VALUE
2022-11-23T01:30:19.5513185Z 
2022-11-23T01:30:19.5513245Z  
2022-11-23T01:30:19.5513552Z [2022-11-23 01:23:11,031] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5513659Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_73)
2022-11-23T01:30:19.5513748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5513928Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5514009Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5514100Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5514193Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5514257Z              12 RETURN_VALUE
2022-11-23T01:30:19.5514262Z 
2022-11-23T01:30:19.5514324Z  
2022-11-23T01:30:19.5514509Z [2022-11-23 01:23:11,032] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5514580Z  - 
2022-11-23T01:30:19.5514701Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5514766Z             {
2022-11-23T01:30:19.5514907Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5515081Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5515200Z                 'obj_weakref': None
2022-11-23T01:30:19.5515422Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5515489Z             }
2022-11-23T01:30:19.5515557Z             
2022-11-23T01:30:19.5515627Z  - 
2022-11-23T01:30:19.5515751Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5515801Z             {
2022-11-23T01:30:19.5515947Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5516054Z                 'code': None,
2022-11-23T01:30:19.5516269Z                 'obj_weakref': <weakref at 0x7ff59c0c6c50; to 'Tensor' at 0x7ff58ff03290>
2022-11-23T01:30:19.5516521Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5516587Z             }
2022-11-23T01:30:19.5516651Z             
2022-11-23T01:30:19.5516707Z  - 
2022-11-23T01:30:19.5516828Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5516893Z             {
2022-11-23T01:30:19.5517027Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5517198Z                 'code': ['___check_obj_id(model, 140693070129392)'],
2022-11-23T01:30:19.5517417Z                 'obj_weakref': <weakref at 0x7ff59c0c7790; to 'Sequential' at 0x7ff5a877a8f0>
2022-11-23T01:30:19.5517654Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5517774Z             }
2022-11-23T01:30:19.5517825Z             
2022-11-23T01:30:19.5517892Z  - 
2022-11-23T01:30:19.5518017Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5518082Z             {
2022-11-23T01:30:19.5518218Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5518435Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5518541Z                 'obj_weakref': None
2022-11-23T01:30:19.5518762Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5518826Z             }
2022-11-23T01:30:19.5518890Z             
2022-11-23T01:30:19.5518958Z  - 
2022-11-23T01:30:19.5519103Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5519197Z             {
2022-11-23T01:30:19.5519304Z                 'guard_types': None,
2022-11-23T01:30:19.5519412Z                 'code': None,
2022-11-23T01:30:19.5519532Z                 'obj_weakref': None
2022-11-23T01:30:19.5519657Z                 'guarded_class': None
2022-11-23T01:30:19.5519720Z             }
2022-11-23T01:30:19.5519788Z             
2022-11-23T01:30:19.5519857Z  - 
2022-11-23T01:30:19.5519988Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5520052Z             {
2022-11-23T01:30:19.5520168Z                 'guard_types': None,
2022-11-23T01:30:19.5520274Z                 'code': None,
2022-11-23T01:30:19.5520391Z                 'obj_weakref': None
2022-11-23T01:30:19.5520509Z                 'guarded_class': None
2022-11-23T01:30:19.5520569Z             }
2022-11-23T01:30:19.5520618Z             
2022-11-23T01:30:19.5520874Z [2022-11-23 01:23:11,040] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 72
2022-11-23T01:30:19.5521245Z [2022-11-23 01:23:11,044] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2jtuochcqvhw6lznbzsdg7zqps7ewyrsuaidc6orxynyzhcfyc.py
2022-11-23T01:30:19.5521506Z [2022-11-23 01:23:11,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 72
2022-11-23T01:30:19.5521741Z [2022-11-23 01:23:11,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5522053Z [2022-11-23 01:23:11,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5522272Z [2022-11-23 01:23:11,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5522511Z [2022-11-23 01:23:11,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5522776Z [2022-11-23 01:23:11,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5523077Z [2022-11-23 01:23:11,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5523414Z [2022-11-23 01:23:11,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5523725Z [2022-11-23 01:23:11,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5523968Z [2022-11-23 01:23:11,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5524197Z [2022-11-23 01:23:11,060] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5524445Z [2022-11-23 01:23:11,061] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5524689Z [2022-11-23 01:23:11,075] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5524878Z [2022-11-23 01:23:11,075] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5525046Z  __compiled_fn_74 <eval_with_key>.548 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5525123Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5525219Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5525316Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5525321Z 
2022-11-23T01:30:19.5525644Z [2022-11-23 01:23:11,075] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5525737Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5525828Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5525913Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5526006Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5526114Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5526200Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5526274Z              12 RETURN_VALUE
2022-11-23T01:30:19.5526281Z 
2022-11-23T01:30:19.5526340Z  
2022-11-23T01:30:19.5526660Z [2022-11-23 01:23:11,075] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5526765Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_74)
2022-11-23T01:30:19.5526855Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5526942Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5527005Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5527089Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5527177Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5527252Z              12 RETURN_VALUE
2022-11-23T01:30:19.5527257Z 
2022-11-23T01:30:19.5527319Z  
2022-11-23T01:30:19.5527500Z [2022-11-23 01:23:11,076] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5527571Z  - 
2022-11-23T01:30:19.5527677Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5527741Z             {
2022-11-23T01:30:19.5527881Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5528066Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5528183Z                 'obj_weakref': None
2022-11-23T01:30:19.5528405Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5528467Z             }
2022-11-23T01:30:19.5528518Z             
2022-11-23T01:30:19.5528585Z  - 
2022-11-23T01:30:19.5528707Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5528770Z             {
2022-11-23T01:30:19.5528912Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5529017Z                 'code': None,
2022-11-23T01:30:19.5529229Z                 'obj_weakref': <weakref at 0x7ff58fdc3e70; to 'Tensor' at 0x7ff58ff00950>
2022-11-23T01:30:19.5529472Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5529536Z             }
2022-11-23T01:30:19.5529596Z             
2022-11-23T01:30:19.5529664Z  - 
2022-11-23T01:30:19.5529781Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5529842Z             {
2022-11-23T01:30:19.5529973Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5530128Z                 'code': ['___check_obj_id(model, 140693075216224)'],
2022-11-23T01:30:19.5530344Z                 'obj_weakref': <weakref at 0x7ff58ff033d0; to 'Sequential' at 0x7ff5a8c54760>
2022-11-23T01:30:19.5530577Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5530638Z             }
2022-11-23T01:30:19.5530702Z             
2022-11-23T01:30:19.5530768Z  - 
2022-11-23T01:30:19.5530890Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5530940Z             {
2022-11-23T01:30:19.5531075Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5531328Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5531446Z                 'obj_weakref': None
2022-11-23T01:30:19.5531665Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5531729Z             }
2022-11-23T01:30:19.5531790Z             
2022-11-23T01:30:19.5531846Z  - 
2022-11-23T01:30:19.5531989Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5532052Z             {
2022-11-23T01:30:19.5532170Z                 'guard_types': None,
2022-11-23T01:30:19.5532273Z                 'code': None,
2022-11-23T01:30:19.5532387Z                 'obj_weakref': None
2022-11-23T01:30:19.5532505Z                 'guarded_class': None
2022-11-23T01:30:19.5532555Z             }
2022-11-23T01:30:19.5532642Z             
2022-11-23T01:30:19.5532710Z  - 
2022-11-23T01:30:19.5532853Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5532914Z             {
2022-11-23T01:30:19.5533032Z                 'guard_types': None,
2022-11-23T01:30:19.5533125Z                 'code': None,
2022-11-23T01:30:19.5533240Z                 'obj_weakref': None
2022-11-23T01:30:19.5533361Z                 'guarded_class': None
2022-11-23T01:30:19.5533422Z             }
2022-11-23T01:30:19.5533484Z             
2022-11-23T01:30:19.5533740Z [2022-11-23 01:23:11,085] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 73
2022-11-23T01:30:19.5534112Z [2022-11-23 01:23:11,089] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbgo6zg3hxep6ucflulhnkxcskunsqhdf2vi3axeohkbnjducvt.py
2022-11-23T01:30:19.5534371Z [2022-11-23 01:23:11,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 73
2022-11-23T01:30:19.5534597Z [2022-11-23 01:23:11,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5534908Z [2022-11-23 01:23:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5535122Z [2022-11-23 01:23:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5535369Z [2022-11-23 01:23:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5535631Z [2022-11-23 01:23:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5535941Z [2022-11-23 01:23:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5536275Z [2022-11-23 01:23:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5536713Z [2022-11-23 01:23:11,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5536957Z [2022-11-23 01:23:11,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5537193Z [2022-11-23 01:23:11,106] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5537434Z [2022-11-23 01:23:11,107] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5537680Z [2022-11-23 01:23:11,120] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5537867Z [2022-11-23 01:23:11,121] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5538001Z  __compiled_fn_75 <eval_with_key>.559 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5538089Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5538189Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5538286Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5538291Z 
2022-11-23T01:30:19.5538661Z [2022-11-23 01:23:11,121] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5538756Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5538834Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5538920Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5539010Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5539094Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5539183Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5539260Z              12 RETURN_VALUE
2022-11-23T01:30:19.5539265Z 
2022-11-23T01:30:19.5539325Z  
2022-11-23T01:30:19.5539635Z [2022-11-23 01:23:11,121] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5539777Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_75)
2022-11-23T01:30:19.5539868Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5539955Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5540030Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5540115Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5540203Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5540266Z              12 RETURN_VALUE
2022-11-23T01:30:19.5540282Z 
2022-11-23T01:30:19.5540329Z  
2022-11-23T01:30:19.5540510Z [2022-11-23 01:23:11,122] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5540578Z  - 
2022-11-23T01:30:19.5540695Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5540756Z             {
2022-11-23T01:30:19.5540893Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5541068Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5541184Z                 'obj_weakref': None
2022-11-23T01:30:19.5541408Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5541470Z             }
2022-11-23T01:30:19.5541534Z             
2022-11-23T01:30:19.5541601Z  - 
2022-11-23T01:30:19.5541724Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5541775Z             {
2022-11-23T01:30:19.5541914Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5542020Z                 'code': None,
2022-11-23T01:30:19.5542233Z                 'obj_weakref': <weakref at 0x7ff58fdc1a30; to 'Tensor' at 0x7ff59c0c6700>
2022-11-23T01:30:19.5542484Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5542547Z             }
2022-11-23T01:30:19.5542607Z             
2022-11-23T01:30:19.5542662Z  - 
2022-11-23T01:30:19.5542781Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5542843Z             {
2022-11-23T01:30:19.5542975Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5543144Z                 'code': ['___check_obj_id(model, 140693155820160)'],
2022-11-23T01:30:19.5543363Z                 'obj_weakref': <weakref at 0x7ff58fdc14e0; to 'Sequential' at 0x7ff5ad933280>
2022-11-23T01:30:19.5543595Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5543658Z             }
2022-11-23T01:30:19.5543708Z             
2022-11-23T01:30:19.5543774Z  - 
2022-11-23T01:30:19.5543896Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5543959Z             {
2022-11-23T01:30:19.5544093Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5544308Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5544423Z                 'obj_weakref': None
2022-11-23T01:30:19.5544632Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5544694Z             }
2022-11-23T01:30:19.5544785Z             
2022-11-23T01:30:19.5544854Z  - 
2022-11-23T01:30:19.5544996Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5545057Z             {
2022-11-23T01:30:19.5545163Z                 'guard_types': None,
2022-11-23T01:30:19.5545266Z                 'code': None,
2022-11-23T01:30:19.5545380Z                 'obj_weakref': None
2022-11-23T01:30:19.5545500Z                 'guarded_class': None
2022-11-23T01:30:19.5545561Z             }
2022-11-23T01:30:19.5545623Z             
2022-11-23T01:30:19.5545689Z  - 
2022-11-23T01:30:19.5545820Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5545881Z             {
2022-11-23T01:30:19.5545998Z                 'guard_types': None,
2022-11-23T01:30:19.5546102Z                 'code': None,
2022-11-23T01:30:19.5546217Z                 'obj_weakref': None
2022-11-23T01:30:19.5546367Z                 'guarded_class': None
2022-11-23T01:30:19.5546429Z             }
2022-11-23T01:30:19.5546478Z             
2022-11-23T01:30:19.5546735Z [2022-11-23 01:23:11,131] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 74
2022-11-23T01:30:19.5546741Z 
2022-11-23T01:30:19.5546833Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5546900Z import torch
2022-11-23T01:30:19.5546969Z import random
2022-11-23T01:30:19.5547082Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5547201Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5547205Z 
2022-11-23T01:30:19.5547285Z aten = torch.ops.aten
2022-11-23T01:30:19.5547406Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5547497Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5547502Z 
2022-11-23T01:30:19.5547506Z 
2022-11-23T01:30:19.5547592Z async_compile.wait(globals())
2022-11-23T01:30:19.5547667Z del async_compile
2022-11-23T01:30:19.5547671Z 
2022-11-23T01:30:19.5547740Z def call(args):
2022-11-23T01:30:19.5547861Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5547932Z     args.clear()
2022-11-23T01:30:19.5548049Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T01:30:19.5548154Z     assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1))
2022-11-23T01:30:19.5548220Z     del arg0_1
2022-11-23T01:30:19.5548287Z     del arg1_1
2022-11-23T01:30:19.5548352Z     del arg7_1
2022-11-23T01:30:19.5548421Z     return (buf0, )
2022-11-23T01:30:19.5548426Z 
2022-11-23T01:30:19.5548430Z 
2022-11-23T01:30:19.5548503Z if __name__ == "__main__":
2022-11-23T01:30:19.5548617Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5548726Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5548932Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5549131Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5549324Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5549510Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5549699Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5549884Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5550064Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5550259Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5550415Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5550420Z 
2022-11-23T01:30:19.5550424Z 
2022-11-23T01:30:19.5550515Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5550590Z import torch
2022-11-23T01:30:19.5550659Z import random
2022-11-23T01:30:19.5550771Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5550930Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5550935Z 
2022-11-23T01:30:19.5551012Z aten = torch.ops.aten
2022-11-23T01:30:19.5551134Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5551223Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5551228Z 
2022-11-23T01:30:19.5551232Z 
2022-11-23T01:30:19.5551320Z async_compile.wait(globals())
2022-11-23T01:30:19.5551391Z del async_compile
2022-11-23T01:30:19.5551396Z 
2022-11-23T01:30:19.5551465Z def call(args):
2022-11-23T01:30:19.5551581Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5551651Z     args.clear()
2022-11-23T01:30:19.5551780Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T01:30:19.5551872Z     assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1))
2022-11-23T01:30:19.5551968Z     del arg0_1
2022-11-23T01:30:19.5552035Z     del arg1_1
2022-11-23T01:30:19.5552102Z     del arg7_1
2022-11-23T01:30:19.5552177Z     return (buf0, )
2022-11-23T01:30:19.5552181Z 
2022-11-23T01:30:19.5552186Z 
2022-11-23T01:30:19.5552263Z if __name__ == "__main__":
2022-11-23T01:30:19.5552377Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5552486Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5552693Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5552887Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5553075Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5553262Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5553449Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5553635Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5553891Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5554089Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5554246Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5554252Z 
2022-11-23T01:30:19.5554256Z 
2022-11-23T01:30:19.5554352Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5554422Z import torch
2022-11-23T01:30:19.5554495Z import random
2022-11-23T01:30:19.5554608Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5554731Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5554735Z 
2022-11-23T01:30:19.5554815Z aten = torch.ops.aten
2022-11-23T01:30:19.5554934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5555028Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5555033Z 
2022-11-23T01:30:19.5555037Z 
2022-11-23T01:30:19.5555126Z async_compile.wait(globals())
2022-11-23T01:30:19.5555207Z del async_compile
2022-11-23T01:30:19.5555211Z 
2022-11-23T01:30:19.5555283Z def call(args):
2022-11-23T01:30:19.5555399Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5555472Z     args.clear()
2022-11-23T01:30:19.5555602Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T01:30:19.5555696Z     assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1))
2022-11-23T01:30:19.5555766Z     del arg0_1
2022-11-23T01:30:19.5555838Z     del arg1_1
2022-11-23T01:30:19.5555905Z     del arg7_1
2022-11-23T01:30:19.5555978Z     return (buf0, )
2022-11-23T01:30:19.5555982Z 
2022-11-23T01:30:19.5555986Z 
2022-11-23T01:30:19.5556067Z if __name__ == "__main__":
2022-11-23T01:30:19.5556181Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5556292Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5556496Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5556724Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5556921Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5557111Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5557301Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5557489Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5557670Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5557864Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5558019Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5558051Z 
2022-11-23T01:30:19.5558056Z 
2022-11-23T01:30:19.5558154Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5558227Z import torch
2022-11-23T01:30:19.5558299Z import random
2022-11-23T01:30:19.5558412Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5558535Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5558540Z 
2022-11-23T01:30:19.5558619Z aten = torch.ops.aten
2022-11-23T01:30:19.5558738Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5558831Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5558835Z 
2022-11-23T01:30:19.5558840Z 
2022-11-23T01:30:19.5558929Z async_compile.wait(globals())
2022-11-23T01:30:19.5559001Z del async_compile
2022-11-23T01:30:19.5559006Z 
2022-11-23T01:30:19.5559076Z def call(args):
2022-11-23T01:30:19.5559192Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5559264Z     args.clear()
2022-11-23T01:30:19.5559392Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T01:30:19.5559486Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T01:30:19.5559553Z     del arg0_1
2022-11-23T01:30:19.5559616Z     del arg1_1
2022-11-23T01:30:19.5559681Z     del arg7_1
2022-11-23T01:30:19.5559750Z     return (buf0, )
2022-11-23T01:30:19.5559755Z 
2022-11-23T01:30:19.5559759Z 
2022-11-23T01:30:19.5559832Z if __name__ == "__main__":
2022-11-23T01:30:19.5559945Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5560065Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5560255Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5560443Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5560630Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5560815Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5560998Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5561181Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5561356Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5561559Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5561700Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5561705Z 
2022-11-23T01:30:19.5561720Z 
2022-11-23T01:30:19.5561801Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5561869Z import torch
2022-11-23T01:30:19.5561940Z import random
2022-11-23T01:30:19.5562052Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5562172Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5562179Z 
2022-11-23T01:30:19.5562254Z aten = torch.ops.aten
2022-11-23T01:30:19.5562385Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5562506Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5562512Z 
2022-11-23T01:30:19.5562516Z 
2022-11-23T01:30:19.5562602Z async_compile.wait(globals())
2022-11-23T01:30:19.5562674Z del async_compile
2022-11-23T01:30:19.5562678Z 
2022-11-23T01:30:19.5562748Z def call(args):
2022-11-23T01:30:19.5562866Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5562935Z     args.clear()
2022-11-23T01:30:19.5563066Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T01:30:19.5563170Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T01:30:19.5563226Z     del arg0_1
2022-11-23T01:30:19.5563292Z     del arg1_1
2022-11-23T01:30:19.5563356Z     del arg7_1
2022-11-23T01:30:19.5563425Z     return (buf0, )
2022-11-23T01:30:19.5563459Z 
2022-11-23T01:30:19.5563463Z 
2022-11-23T01:30:19.5563538Z if __name__ == "__main__":
2022-11-23T01:30:19.5563654Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5563779Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5563971Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5564164Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5564360Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5564546Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5564733Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5564917Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5565094Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5565301Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5565443Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5565460Z 
2022-11-23T01:30:19.5565805Z [2022-11-23 01:23:11,135] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5bkvzfu766vcb2szu6f362egmjy4ou2m7jmfo3t3cl63jpoblyo.py
2022-11-23T01:30:19.5566070Z [2022-11-23 01:23:11,135] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 74
2022-11-23T01:30:19.5566307Z [2022-11-23 01:23:11,140] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5566619Z [2022-11-23 01:23:11,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5566834Z [2022-11-23 01:23:11,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5567076Z [2022-11-23 01:23:11,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5567343Z [2022-11-23 01:23:11,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5567652Z [2022-11-23 01:23:11,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5567990Z [2022-11-23 01:23:11,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5568300Z [2022-11-23 01:23:11,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5568533Z [2022-11-23 01:23:11,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5568763Z [2022-11-23 01:23:11,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5569044Z [2022-11-23 01:23:11,153] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5569292Z [2022-11-23 01:23:11,167] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5569482Z [2022-11-23 01:23:11,168] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5569613Z  __compiled_fn_76 <eval_with_key>.570 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5569701Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5569797Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5569884Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5569889Z 
2022-11-23T01:30:19.5570211Z [2022-11-23 01:23:11,168] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5570304Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5570440Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5570525Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5570618Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5570702Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5570794Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5570857Z              12 RETURN_VALUE
2022-11-23T01:30:19.5570862Z 
2022-11-23T01:30:19.5570920Z  
2022-11-23T01:30:19.5571239Z [2022-11-23 01:23:11,168] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5571348Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_76)
2022-11-23T01:30:19.5571438Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5571527Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5571603Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5571680Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5571768Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5571843Z              12 RETURN_VALUE
2022-11-23T01:30:19.5571850Z 
2022-11-23T01:30:19.5571910Z  
2022-11-23T01:30:19.5572090Z [2022-11-23 01:23:11,169] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5572158Z  - 
2022-11-23T01:30:19.5572278Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5572329Z             {
2022-11-23T01:30:19.5572469Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5572653Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5572770Z                 'obj_weakref': None
2022-11-23T01:30:19.5572991Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5573055Z             }
2022-11-23T01:30:19.5573117Z             
2022-11-23T01:30:19.5573183Z  - 
2022-11-23T01:30:19.5573295Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5573357Z             {
2022-11-23T01:30:19.5573498Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5573605Z                 'code': None,
2022-11-23T01:30:19.5573815Z                 'obj_weakref': <weakref at 0x7ff5a80798f0; to 'Tensor' at 0x7ff59c0c7b50>
2022-11-23T01:30:19.5574066Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5574128Z             }
2022-11-23T01:30:19.5574180Z             
2022-11-23T01:30:19.5574246Z  - 
2022-11-23T01:30:19.5574365Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5574427Z             {
2022-11-23T01:30:19.5574559Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5574725Z                 'code': ['___check_obj_id(model, 140693075218192)'],
2022-11-23T01:30:19.5574943Z                 'obj_weakref': <weakref at 0x7ff5a807b150; to 'Sequential' at 0x7ff5a8c54f10>
2022-11-23T01:30:19.5575164Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5575226Z             }
2022-11-23T01:30:19.5575288Z             
2022-11-23T01:30:19.5575382Z  - 
2022-11-23T01:30:19.5575505Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5575565Z             {
2022-11-23T01:30:19.5575699Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5575907Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5576021Z                 'obj_weakref': None
2022-11-23T01:30:19.5576239Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5576300Z             }
2022-11-23T01:30:19.5576361Z             
2022-11-23T01:30:19.5576545Z  - 
2022-11-23T01:30:19.5576693Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5576742Z             {
2022-11-23T01:30:19.5576859Z                 'guard_types': None,
2022-11-23T01:30:19.5577052Z                 'code': None,
2022-11-23T01:30:19.5577169Z                 'obj_weakref': None
2022-11-23T01:30:19.5577289Z                 'guarded_class': None
2022-11-23T01:30:19.5577353Z             }
2022-11-23T01:30:19.5577404Z             
2022-11-23T01:30:19.5577472Z  - 
2022-11-23T01:30:19.5577619Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5577682Z             {
2022-11-23T01:30:19.5577803Z                 'guard_types': None,
2022-11-23T01:30:19.5577908Z                 'code': None,
2022-11-23T01:30:19.5578024Z                 'obj_weakref': None
2022-11-23T01:30:19.5578130Z                 'guarded_class': None
2022-11-23T01:30:19.5578192Z             }
2022-11-23T01:30:19.5578254Z             
2022-11-23T01:30:19.5578511Z [2022-11-23 01:23:11,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 75
2022-11-23T01:30:19.5578876Z [2022-11-23 01:23:11,182] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilond3i4c23ecbqnj5uhp2h2rvopswcllvrvwhmv5nxksf65kvx.py
2022-11-23T01:30:19.5579143Z [2022-11-23 01:23:11,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 75
2022-11-23T01:30:19.5579381Z [2022-11-23 01:23:11,186] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5579694Z [2022-11-23 01:23:11,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5579912Z [2022-11-23 01:23:11,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5580141Z [2022-11-23 01:23:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5580408Z [2022-11-23 01:23:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5580721Z [2022-11-23 01:23:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5581060Z [2022-11-23 01:23:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5581369Z [2022-11-23 01:23:11,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5581612Z [2022-11-23 01:23:11,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5581842Z [2022-11-23 01:23:11,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5582093Z [2022-11-23 01:23:11,199] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5582339Z [2022-11-23 01:23:11,213] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5582516Z [2022-11-23 01:23:11,213] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5582678Z  __compiled_fn_77 <eval_with_key>.581 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5582768Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5582866Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5582962Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5582967Z 
2022-11-23T01:30:19.5583291Z [2022-11-23 01:23:11,213] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5583381Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5583469Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5583543Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5583633Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5583716Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5583832Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5583907Z              12 RETURN_VALUE
2022-11-23T01:30:19.5583912Z 
2022-11-23T01:30:19.5583973Z  
2022-11-23T01:30:19.5584294Z [2022-11-23 01:23:11,214] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5584400Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_77)
2022-11-23T01:30:19.5584476Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5584563Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5584638Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5584725Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5584813Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5584885Z              12 RETURN_VALUE
2022-11-23T01:30:19.5584890Z 
2022-11-23T01:30:19.5584949Z  
2022-11-23T01:30:19.5585117Z [2022-11-23 01:23:11,214] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5585187Z  - 
2022-11-23T01:30:19.5585307Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5585369Z             {
2022-11-23T01:30:19.5585510Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5585695Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5585813Z                 'obj_weakref': None
2022-11-23T01:30:19.5586022Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5586085Z             }
2022-11-23T01:30:19.5586147Z             
2022-11-23T01:30:19.5586213Z  - 
2022-11-23T01:30:19.5586336Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5586397Z             {
2022-11-23T01:30:19.5586536Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5586629Z                 'code': None,
2022-11-23T01:30:19.5586836Z                 'obj_weakref': <weakref at 0x7ff59c045440; to 'Tensor' at 0x7ff59c0c7380>
2022-11-23T01:30:19.5587088Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5587150Z             }
2022-11-23T01:30:19.5587214Z             
2022-11-23T01:30:19.5587281Z  - 
2022-11-23T01:30:19.5587398Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5587448Z             {
2022-11-23T01:30:19.5587580Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5587746Z                 'code': ['___check_obj_id(model, 140693087529584)'],
2022-11-23T01:30:19.5587963Z                 'obj_weakref': <weakref at 0x7ff59c045c60; to 'Sequential' at 0x7ff5a9812a70>
2022-11-23T01:30:19.5588197Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5588263Z             }
2022-11-23T01:30:19.5588324Z             
2022-11-23T01:30:19.5588379Z  - 
2022-11-23T01:30:19.5588499Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5588560Z             {
2022-11-23T01:30:19.5588698Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5588914Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5589059Z                 'obj_weakref': None
2022-11-23T01:30:19.5589280Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5589342Z             }
2022-11-23T01:30:19.5589392Z             
2022-11-23T01:30:19.5589459Z  - 
2022-11-23T01:30:19.5589602Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5589664Z             {
2022-11-23T01:30:19.5589779Z                 'guard_types': None,
2022-11-23T01:30:19.5589883Z                 'code': None,
2022-11-23T01:30:19.5589986Z                 'obj_weakref': None
2022-11-23T01:30:19.5590105Z                 'guarded_class': None
2022-11-23T01:30:19.5590167Z             }
2022-11-23T01:30:19.5590227Z             
2022-11-23T01:30:19.5590295Z  - 
2022-11-23T01:30:19.5590465Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5590526Z             {
2022-11-23T01:30:19.5590631Z                 'guard_types': None,
2022-11-23T01:30:19.5590736Z                 'code': None,
2022-11-23T01:30:19.5590852Z                 'obj_weakref': None
2022-11-23T01:30:19.5590971Z                 'guarded_class': None
2022-11-23T01:30:19.5591033Z             }
2022-11-23T01:30:19.5591094Z             
2022-11-23T01:30:19.5591348Z [2022-11-23 01:23:11,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 76
2022-11-23T01:30:19.5591697Z [2022-11-23 01:23:11,228] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkqk26t3q4kjfdd3rtbmmgj5ioxyn3zlnwn2iywex62ojktidei.py
2022-11-23T01:30:19.5591956Z [2022-11-23 01:23:11,229] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 76
2022-11-23T01:30:19.5592194Z [2022-11-23 01:23:11,233] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5592510Z [2022-11-23 01:23:11,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5592729Z [2022-11-23 01:23:11,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5592972Z [2022-11-23 01:23:11,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5593241Z [2022-11-23 01:23:11,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5593556Z [2022-11-23 01:23:11,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5593977Z [2022-11-23 01:23:11,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5594292Z [2022-11-23 01:23:11,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5594531Z [2022-11-23 01:23:11,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5594766Z [2022-11-23 01:23:11,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5595018Z [2022-11-23 01:23:11,246] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5595265Z [2022-11-23 01:23:11,259] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5595457Z [2022-11-23 01:23:11,260] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5595594Z  __compiled_fn_78 <eval_with_key>.592 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5595686Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5595785Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5595875Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5595880Z 
2022-11-23T01:30:19.5596243Z [2022-11-23 01:23:11,260] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5596339Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5596431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5596519Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5596612Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5596698Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5596788Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5596851Z              12 RETURN_VALUE
2022-11-23T01:30:19.5596857Z 
2022-11-23T01:30:19.5596917Z  
2022-11-23T01:30:19.5597239Z [2022-11-23 01:23:11,260] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5597378Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_78)
2022-11-23T01:30:19.5597470Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5597562Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5597640Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5597729Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5597806Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5597883Z              12 RETURN_VALUE
2022-11-23T01:30:19.5597891Z 
2022-11-23T01:30:19.5597980Z  
2022-11-23T01:30:19.5598231Z [2022-11-23 01:23:11,261] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5598304Z  - 
2022-11-23T01:30:19.5598424Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5598489Z             {
2022-11-23T01:30:19.5598618Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5598806Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5598930Z                 'obj_weakref': None
2022-11-23T01:30:19.5599154Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5599222Z             }
2022-11-23T01:30:19.5599287Z             
2022-11-23T01:30:19.5599359Z  - 
2022-11-23T01:30:19.5599468Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5599535Z             {
2022-11-23T01:30:19.5599677Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5599782Z                 'code': None,
2022-11-23T01:30:19.5599994Z                 'obj_weakref': <weakref at 0x7ff59c047d30; to 'Tensor' at 0x7ff5a8446930>
2022-11-23T01:30:19.5600246Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5600312Z             }
2022-11-23T01:30:19.5600362Z             
2022-11-23T01:30:19.5600431Z  - 
2022-11-23T01:30:19.5600551Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5600615Z             {
2022-11-23T01:30:19.5600746Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5600910Z                 'code': ['___check_obj_id(model, 140693155501664)'],
2022-11-23T01:30:19.5601129Z                 'obj_weakref': <weakref at 0x7ff5a8232110; to 'Sequential' at 0x7ff5ad8e5660>
2022-11-23T01:30:19.5601350Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5601415Z             }
2022-11-23T01:30:19.5601475Z             
2022-11-23T01:30:19.5601542Z  - 
2022-11-23T01:30:19.5601662Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5601723Z             {
2022-11-23T01:30:19.5601857Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5602061Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5602178Z                 'obj_weakref': None
2022-11-23T01:30:19.5602395Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5602460Z             }
2022-11-23T01:30:19.5602522Z             
2022-11-23T01:30:19.5602588Z  - 
2022-11-23T01:30:19.5602769Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5602819Z             {
2022-11-23T01:30:19.5602936Z                 'guard_types': None,
2022-11-23T01:30:19.5603042Z                 'code': None,
2022-11-23T01:30:19.5603158Z                 'obj_weakref': None
2022-11-23T01:30:19.5603277Z                 'guarded_class': None
2022-11-23T01:30:19.5603339Z             }
2022-11-23T01:30:19.5603400Z             
2022-11-23T01:30:19.5603455Z  - 
2022-11-23T01:30:19.5603597Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5603658Z             {
2022-11-23T01:30:19.5603775Z                 'guard_types': None,
2022-11-23T01:30:19.5603878Z                 'code': None,
2022-11-23T01:30:19.5603994Z                 'obj_weakref': None
2022-11-23T01:30:19.5604100Z                 'guarded_class': None
2022-11-23T01:30:19.5604189Z             }
2022-11-23T01:30:19.5604250Z             
2022-11-23T01:30:19.5604507Z [2022-11-23 01:23:11,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 77
2022-11-23T01:30:19.5604874Z [2022-11-23 01:23:11,274] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chvacu23sujoub7knlimjkkablr24auqimctyvztouh2gaprik4g.py
2022-11-23T01:30:19.5605137Z [2022-11-23 01:23:11,274] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 77
2022-11-23T01:30:19.5605374Z [2022-11-23 01:23:11,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5605685Z [2022-11-23 01:23:11,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5605899Z [2022-11-23 01:23:11,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5606130Z [2022-11-23 01:23:11,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5606394Z [2022-11-23 01:23:11,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5606703Z [2022-11-23 01:23:11,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5607037Z [2022-11-23 01:23:11,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5607345Z [2022-11-23 01:23:11,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5607588Z [2022-11-23 01:23:11,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5607818Z [2022-11-23 01:23:11,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5608070Z [2022-11-23 01:23:11,291] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5608317Z [2022-11-23 01:23:11,305] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5608504Z [2022-11-23 01:23:11,306] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5608624Z  __compiled_fn_79 <eval_with_key>.603 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5608712Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5608810Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5608907Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5608912Z 
2022-11-23T01:30:19.5609236Z [2022-11-23 01:23:11,306] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5609334Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5609426Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5609499Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5609632Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5609717Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5609804Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5609879Z              12 RETURN_VALUE
2022-11-23T01:30:19.5609884Z 
2022-11-23T01:30:19.5609943Z  
2022-11-23T01:30:19.5610264Z [2022-11-23 01:23:11,306] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5610369Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_79)
2022-11-23T01:30:19.5610446Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5610532Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5610607Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5610724Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5610813Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5610886Z              12 RETURN_VALUE
2022-11-23T01:30:19.5610891Z 
2022-11-23T01:30:19.5610951Z  
2022-11-23T01:30:19.5611120Z [2022-11-23 01:23:11,307] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5611188Z  - 
2022-11-23T01:30:19.5611307Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5611372Z             {
2022-11-23T01:30:19.5611514Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5611702Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5611821Z                 'obj_weakref': None
2022-11-23T01:30:19.5612031Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5612094Z             }
2022-11-23T01:30:19.5612156Z             
2022-11-23T01:30:19.5612223Z  - 
2022-11-23T01:30:19.5612344Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5612410Z             {
2022-11-23T01:30:19.5612548Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5612642Z                 'code': None,
2022-11-23T01:30:19.5612852Z                 'obj_weakref': <weakref at 0x7ff58ff00220; to 'Tensor' at 0x7ff5a8376980>
2022-11-23T01:30:19.5613100Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5613162Z             }
2022-11-23T01:30:19.5613226Z             
2022-11-23T01:30:19.5613292Z  - 
2022-11-23T01:30:19.5613408Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5613459Z             {
2022-11-23T01:30:19.5613589Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5613753Z                 'code': ['___check_obj_id(model, 140693155820544)'],
2022-11-23T01:30:19.5613971Z                 'obj_weakref': <weakref at 0x7ff59c044400; to 'Sequential' at 0x7ff5ad933400>
2022-11-23T01:30:19.5614203Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5614267Z             }
2022-11-23T01:30:19.5614329Z             
2022-11-23T01:30:19.5614397Z  - 
2022-11-23T01:30:19.5614506Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5614567Z             {
2022-11-23T01:30:19.5614701Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5614914Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5615030Z                 'obj_weakref': None
2022-11-23T01:30:19.5615248Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5615310Z             }
2022-11-23T01:30:19.5615360Z             
2022-11-23T01:30:19.5615426Z  - 
2022-11-23T01:30:19.5615570Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5615630Z             {
2022-11-23T01:30:19.5615746Z                 'guard_types': None,
2022-11-23T01:30:19.5615852Z                 'code': None,
2022-11-23T01:30:19.5615955Z                 'obj_weakref': None
2022-11-23T01:30:19.5616074Z                 'guarded_class': None
2022-11-23T01:30:19.5616165Z             }
2022-11-23T01:30:19.5616227Z             
2022-11-23T01:30:19.5616295Z  - 
2022-11-23T01:30:19.5616579Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5616668Z             {
2022-11-23T01:30:19.5616807Z                 'guard_types': None,
2022-11-23T01:30:19.5616916Z                 'code': None,
2022-11-23T01:30:19.5617032Z                 'obj_weakref': None
2022-11-23T01:30:19.5617151Z                 'guarded_class': None
2022-11-23T01:30:19.5617213Z             }
2022-11-23T01:30:19.5617274Z             
2022-11-23T01:30:19.5617529Z [2022-11-23 01:23:11,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 78
2022-11-23T01:30:19.5617881Z [2022-11-23 01:23:11,320] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcycmpbaay4knv4m4j2m23rs7nm7x6au56hvyzsuyku5hrxfcoz.py
2022-11-23T01:30:19.5618210Z [2022-11-23 01:23:11,320] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 78
2022-11-23T01:30:19.5618445Z [2022-11-23 01:23:11,325] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5618758Z [2022-11-23 01:23:11,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5618974Z [2022-11-23 01:23:11,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5619217Z [2022-11-23 01:23:11,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5619482Z [2022-11-23 01:23:11,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5619798Z [2022-11-23 01:23:11,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5620140Z [2022-11-23 01:23:11,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5620450Z [2022-11-23 01:23:11,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5620682Z [2022-11-23 01:23:11,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5620913Z [2022-11-23 01:23:11,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5621163Z [2022-11-23 01:23:11,338] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5621409Z [2022-11-23 01:23:11,351] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5621601Z [2022-11-23 01:23:11,352] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5621733Z  __compiled_fn_80 <eval_with_key>.614 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5621827Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5621924Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5622009Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5622026Z 
2022-11-23T01:30:19.5622338Z [2022-11-23 01:23:11,352] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5622430Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5622519Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5622605Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5622696Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5622779Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5622867Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5622930Z              12 RETURN_VALUE
2022-11-23T01:30:19.5622935Z 
2022-11-23T01:30:19.5622994Z  
2022-11-23T01:30:19.5623352Z [2022-11-23 01:23:11,352] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5623461Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_80)
2022-11-23T01:30:19.5623552Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5623638Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5623712Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5623798Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5623875Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5623948Z              12 RETURN_VALUE
2022-11-23T01:30:19.5623953Z 
2022-11-23T01:30:19.5624012Z  
2022-11-23T01:30:19.5624193Z [2022-11-23 01:23:11,353] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5624290Z  - 
2022-11-23T01:30:19.5624406Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5624468Z             {
2022-11-23T01:30:19.5624596Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5624783Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5624901Z                 'obj_weakref': None
2022-11-23T01:30:19.5625122Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5625185Z             }
2022-11-23T01:30:19.5625246Z             
2022-11-23T01:30:19.5625313Z  - 
2022-11-23T01:30:19.5625423Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5625484Z             {
2022-11-23T01:30:19.5625624Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5625730Z                 'code': None,
2022-11-23T01:30:19.5625940Z                 'obj_weakref': <weakref at 0x7ff58fdc0450; to 'Tensor' at 0x7ff5a8376f20>
2022-11-23T01:30:19.5626196Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5626259Z             }
2022-11-23T01:30:19.5626310Z             
2022-11-23T01:30:19.5626378Z  - 
2022-11-23T01:30:19.5626496Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5626559Z             {
2022-11-23T01:30:19.5626691Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5626857Z                 'code': ['___check_obj_id(model, 140695482533344)'],
2022-11-23T01:30:19.5627074Z                 'obj_weakref': <weakref at 0x7ff58fdc38d0; to 'Sequential' at 0x7ff6384205e0>
2022-11-23T01:30:19.5627294Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5627356Z             }
2022-11-23T01:30:19.5627418Z             
2022-11-23T01:30:19.5627486Z  - 
2022-11-23T01:30:19.5627634Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5627695Z             {
2022-11-23T01:30:19.5627832Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5628037Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5628154Z                 'obj_weakref': None
2022-11-23T01:30:19.5628374Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5628436Z             }
2022-11-23T01:30:19.5628497Z             
2022-11-23T01:30:19.5628563Z  - 
2022-11-23T01:30:19.5628706Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5628756Z             {
2022-11-23T01:30:19.5628873Z                 'guard_types': None,
2022-11-23T01:30:19.5628978Z                 'code': None,
2022-11-23T01:30:19.5629094Z                 'obj_weakref': None
2022-11-23T01:30:19.5629212Z                 'guarded_class': None
2022-11-23T01:30:19.5629273Z             }
2022-11-23T01:30:19.5629334Z             
2022-11-23T01:30:19.5629388Z  - 
2022-11-23T01:30:19.5629531Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5629595Z             {
2022-11-23T01:30:19.5629711Z                 'guard_types': None,
2022-11-23T01:30:19.5629815Z                 'code': None,
2022-11-23T01:30:19.5629964Z                 'obj_weakref': None
2022-11-23T01:30:19.5630085Z                 'guarded_class': None
2022-11-23T01:30:19.5630135Z             }
2022-11-23T01:30:19.5630195Z             
2022-11-23T01:30:19.5630451Z [2022-11-23 01:23:11,362] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 79
2022-11-23T01:30:19.5630457Z 
2022-11-23T01:30:19.5630549Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5630616Z import torch
2022-11-23T01:30:19.5630683Z import random
2022-11-23T01:30:19.5630796Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5630904Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5630908Z 
2022-11-23T01:30:19.5630984Z aten = torch.ops.aten
2022-11-23T01:30:19.5631118Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5631243Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5631250Z 
2022-11-23T01:30:19.5631254Z 
2022-11-23T01:30:19.5631342Z async_compile.wait(globals())
2022-11-23T01:30:19.5631414Z del async_compile
2022-11-23T01:30:19.5631419Z 
2022-11-23T01:30:19.5631486Z def call(args):
2022-11-23T01:30:19.5631605Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5631664Z     args.clear()
2022-11-23T01:30:19.5631793Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T01:30:19.5631896Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T01:30:19.5631963Z     del arg0_1
2022-11-23T01:30:19.5632030Z     del arg1_1
2022-11-23T01:30:19.5632093Z     del arg7_1
2022-11-23T01:30:19.5632162Z     return (buf0, )
2022-11-23T01:30:19.5632167Z 
2022-11-23T01:30:19.5632171Z 
2022-11-23T01:30:19.5632234Z if __name__ == "__main__":
2022-11-23T01:30:19.5632349Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5632472Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5632683Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5632879Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5633073Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5633261Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5633448Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5633620Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5633884Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5634093Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5634253Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5634258Z 
2022-11-23T01:30:19.5634262Z 
2022-11-23T01:30:19.5634363Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5634435Z import torch
2022-11-23T01:30:19.5634506Z import random
2022-11-23T01:30:19.5634622Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5634728Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5634733Z 
2022-11-23T01:30:19.5634812Z aten = torch.ops.aten
2022-11-23T01:30:19.5634947Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5635040Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5635044Z 
2022-11-23T01:30:19.5635048Z 
2022-11-23T01:30:19.5635137Z async_compile.wait(globals())
2022-11-23T01:30:19.5635210Z del async_compile
2022-11-23T01:30:19.5635215Z 
2022-11-23T01:30:19.5635287Z def call(args):
2022-11-23T01:30:19.5635404Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5635464Z     args.clear()
2022-11-23T01:30:19.5635595Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T01:30:19.5635739Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T01:30:19.5635809Z     del arg0_1
2022-11-23T01:30:19.5635876Z     del arg1_1
2022-11-23T01:30:19.5635944Z     del arg7_1
2022-11-23T01:30:19.5636016Z     return (buf0, )
2022-11-23T01:30:19.5636020Z 
2022-11-23T01:30:19.5636024Z 
2022-11-23T01:30:19.5636101Z if __name__ == "__main__":
2022-11-23T01:30:19.5636203Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5636325Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5636535Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5636730Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5636921Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5637139Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5637331Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5637505Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5637685Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5637894Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5638051Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5638056Z 
2022-11-23T01:30:19.5638060Z 
2022-11-23T01:30:19.5638156Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5638228Z import torch
2022-11-23T01:30:19.5638299Z import random
2022-11-23T01:30:19.5638415Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5638524Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5638543Z 
2022-11-23T01:30:19.5638609Z aten = torch.ops.aten
2022-11-23T01:30:19.5638744Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5638838Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5638843Z 
2022-11-23T01:30:19.5638847Z 
2022-11-23T01:30:19.5638937Z async_compile.wait(globals())
2022-11-23T01:30:19.5639011Z del async_compile
2022-11-23T01:30:19.5639016Z 
2022-11-23T01:30:19.5639088Z def call(args):
2022-11-23T01:30:19.5639205Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5639262Z     args.clear()
2022-11-23T01:30:19.5639393Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T01:30:19.5639495Z     assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1))
2022-11-23T01:30:19.5639562Z     del arg0_1
2022-11-23T01:30:19.5639628Z     del arg1_1
2022-11-23T01:30:19.5639691Z     del arg7_1
2022-11-23T01:30:19.5639766Z     return (buf0, )
2022-11-23T01:30:19.5639771Z 
2022-11-23T01:30:19.5639775Z 
2022-11-23T01:30:19.5639848Z if __name__ == "__main__":
2022-11-23T01:30:19.5639951Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5640071Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5644596Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5644835Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5645033Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5645214Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5645403Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5645590Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5645770Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5645982Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5646204Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5646212Z 
2022-11-23T01:30:19.5646216Z 
2022-11-23T01:30:19.5646315Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5646388Z import torch
2022-11-23T01:30:19.5646445Z import random
2022-11-23T01:30:19.5646563Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5646686Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5646691Z 
2022-11-23T01:30:19.5646772Z aten = torch.ops.aten
2022-11-23T01:30:19.5646909Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5647003Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5647008Z 
2022-11-23T01:30:19.5647012Z 
2022-11-23T01:30:19.5647100Z async_compile.wait(globals())
2022-11-23T01:30:19.5647206Z del async_compile
2022-11-23T01:30:19.5647212Z 
2022-11-23T01:30:19.5647269Z def call(args):
2022-11-23T01:30:19.5647388Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5647461Z     args.clear()
2022-11-23T01:30:19.5647594Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T01:30:19.5647700Z     assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1))
2022-11-23T01:30:19.5647768Z     del arg0_1
2022-11-23T01:30:19.5647834Z     del arg1_1
2022-11-23T01:30:19.5647887Z     del arg7_1
2022-11-23T01:30:19.5647962Z     return (buf0, )
2022-11-23T01:30:19.5647967Z 
2022-11-23T01:30:19.5647971Z 
2022-11-23T01:30:19.5648050Z if __name__ == "__main__":
2022-11-23T01:30:19.5648164Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5648285Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5648492Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5648689Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5648884Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5649059Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5649248Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5649436Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5649616Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5649825Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5649983Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5649988Z 
2022-11-23T01:30:19.5649992Z 
2022-11-23T01:30:19.5650086Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5650160Z import torch
2022-11-23T01:30:19.5650219Z import random
2022-11-23T01:30:19.5650333Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5650457Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5650462Z 
2022-11-23T01:30:19.5650541Z aten = torch.ops.aten
2022-11-23T01:30:19.5650673Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5650766Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5650771Z 
2022-11-23T01:30:19.5650775Z 
2022-11-23T01:30:19.5650862Z async_compile.wait(globals())
2022-11-23T01:30:19.5650934Z del async_compile
2022-11-23T01:30:19.5650939Z 
2022-11-23T01:30:19.5650996Z def call(args):
2022-11-23T01:30:19.5651112Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5651183Z     args.clear()
2022-11-23T01:30:19.5651312Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T01:30:19.5651416Z     assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1))
2022-11-23T01:30:19.5651486Z     del arg0_1
2022-11-23T01:30:19.5651552Z     del arg1_1
2022-11-23T01:30:19.5651606Z     del arg7_1
2022-11-23T01:30:19.5651705Z     return (buf0, )
2022-11-23T01:30:19.5651710Z 
2022-11-23T01:30:19.5651715Z 
2022-11-23T01:30:19.5651793Z if __name__ == "__main__":
2022-11-23T01:30:19.5651906Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5652028Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5652234Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5652428Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5652621Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5652793Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5652980Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5653193Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5653372Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5653583Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5653737Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5653742Z 
2022-11-23T01:30:19.5654119Z [2022-11-23 01:23:11,366] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calrwpzvq6bxx6miwie35wa7n3h3aoan2uifrzrgaog7dufzizw2.py
2022-11-23T01:30:19.5654385Z [2022-11-23 01:23:11,366] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 79
2022-11-23T01:30:19.5654622Z [2022-11-23 01:23:11,372] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5654925Z [2022-11-23 01:23:11,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5655146Z [2022-11-23 01:23:11,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5655388Z [2022-11-23 01:23:11,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5655657Z [2022-11-23 01:23:11,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5655970Z [2022-11-23 01:23:11,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5656307Z [2022-11-23 01:23:11,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5656766Z [2022-11-23 01:23:11,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5657016Z [2022-11-23 01:23:11,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5657252Z [2022-11-23 01:23:11,386] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5657505Z [2022-11-23 01:23:11,387] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5657743Z [2022-11-23 01:23:11,403] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5657934Z [2022-11-23 01:23:11,404] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5658068Z  __compiled_fn_81 <eval_with_key>.625 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5658160Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5658261Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5658362Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5658369Z 
2022-11-23T01:30:19.5658694Z [2022-11-23 01:23:11,404] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5658857Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5658936Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5659025Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5659116Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5659202Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5659291Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5659366Z              12 RETURN_VALUE
2022-11-23T01:30:19.5659372Z 
2022-11-23T01:30:19.5659434Z  
2022-11-23T01:30:19.5659759Z [2022-11-23 01:23:11,404] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5659854Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_81)
2022-11-23T01:30:19.5659987Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5660077Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5660156Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5660246Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5660337Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5660413Z              12 RETURN_VALUE
2022-11-23T01:30:19.5660418Z 
2022-11-23T01:30:19.5660467Z  
2022-11-23T01:30:19.5660650Z [2022-11-23 01:23:11,405] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5660721Z  - 
2022-11-23T01:30:19.5660839Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5660903Z             {
2022-11-23T01:30:19.5661044Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5661231Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5661337Z                 'obj_weakref': None
2022-11-23T01:30:19.5661564Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5661635Z             }
2022-11-23T01:30:19.5661700Z             
2022-11-23T01:30:19.5661770Z  - 
2022-11-23T01:30:19.5661896Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5661960Z             {
2022-11-23T01:30:19.5662090Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5662200Z                 'code': None,
2022-11-23T01:30:19.5662413Z                 'obj_weakref': <weakref at 0x7ff5a8690fe0; to 'Tensor' at 0x7ff5a97913a0>
2022-11-23T01:30:19.5662670Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5662734Z             }
2022-11-23T01:30:19.5662798Z             
2022-11-23T01:30:19.5662866Z  - 
2022-11-23T01:30:19.5662974Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5663037Z             {
2022-11-23T01:30:19.5663170Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5663343Z                 'code': ['___check_obj_id(model, 140693063089888)'],
2022-11-23T01:30:19.5663566Z                 'obj_weakref': <weakref at 0x7ff5a97cf240; to 'Sequential' at 0x7ff5a80c3ee0>
2022-11-23T01:30:19.5663801Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5663865Z             }
2022-11-23T01:30:19.5663929Z             
2022-11-23T01:30:19.5663984Z  - 
2022-11-23T01:30:19.5664106Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5664169Z             {
2022-11-23T01:30:19.5664305Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5664521Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5664640Z                 'obj_weakref': None
2022-11-23T01:30:19.5664861Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5664912Z             }
2022-11-23T01:30:19.5664977Z             
2022-11-23T01:30:19.5665045Z  - 
2022-11-23T01:30:19.5665192Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5665258Z             {
2022-11-23T01:30:19.5665407Z                 'guard_types': None,
2022-11-23T01:30:19.5665501Z                 'code': None,
2022-11-23T01:30:19.5665618Z                 'obj_weakref': None
2022-11-23T01:30:19.5665738Z                 'guarded_class': None
2022-11-23T01:30:19.5665801Z             }
2022-11-23T01:30:19.5665864Z             
2022-11-23T01:30:19.5665935Z  - 
2022-11-23T01:30:19.5666082Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5666132Z             {
2022-11-23T01:30:19.5666250Z                 'guard_types': None,
2022-11-23T01:30:19.5666355Z                 'code': None,
2022-11-23T01:30:19.5666473Z                 'obj_weakref': None
2022-11-23T01:30:19.5666592Z                 'guarded_class': None
2022-11-23T01:30:19.5666654Z             }
2022-11-23T01:30:19.5666718Z             
2022-11-23T01:30:19.5667000Z [2022-11-23 01:23:11,413] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 80
2022-11-23T01:30:19.5667366Z [2022-11-23 01:23:11,419] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqyf3e42uy33krhq5tma6obphrb2bnewratrzle2id7k6lqwpxu.py
2022-11-23T01:30:19.5667629Z [2022-11-23 01:23:11,419] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 80
2022-11-23T01:30:19.5667868Z [2022-11-23 01:23:11,429] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5668181Z [2022-11-23 01:23:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5668398Z [2022-11-23 01:23:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5668640Z [2022-11-23 01:23:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5668911Z [2022-11-23 01:23:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5669227Z [2022-11-23 01:23:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5669563Z [2022-11-23 01:23:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5669859Z [2022-11-23 01:23:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5670103Z [2022-11-23 01:23:11,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5670336Z [2022-11-23 01:23:11,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5670588Z [2022-11-23 01:23:11,445] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5670841Z [2022-11-23 01:23:11,460] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5671029Z [2022-11-23 01:23:11,461] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5671164Z  __compiled_fn_82 <eval_with_key>.636 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5671253Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5671340Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5671439Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5671444Z 
2022-11-23T01:30:19.5671767Z [2022-11-23 01:23:11,461] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5671860Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5671952Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5672041Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5672134Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5672251Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5672328Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5672404Z              12 RETURN_VALUE
2022-11-23T01:30:19.5672409Z 
2022-11-23T01:30:19.5672469Z  
2022-11-23T01:30:19.5672790Z [2022-11-23 01:23:11,461] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5672896Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_82)
2022-11-23T01:30:19.5672985Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5673074Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5673153Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5673229Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5673318Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5673421Z              12 RETURN_VALUE
2022-11-23T01:30:19.5673426Z 
2022-11-23T01:30:19.5673486Z  
2022-11-23T01:30:19.5673673Z [2022-11-23 01:23:11,462] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5673747Z  - 
2022-11-23T01:30:19.5673943Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5673998Z             {
2022-11-23T01:30:19.5674142Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5674329Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5674452Z                 'obj_weakref': None
2022-11-23T01:30:19.5674750Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5674851Z             }
2022-11-23T01:30:19.5674935Z             
2022-11-23T01:30:19.5675021Z  - 
2022-11-23T01:30:19.5675397Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5675685Z             {
2022-11-23T01:30:19.5676070Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5676409Z                 'code': None,
2022-11-23T01:30:19.5676868Z                 'obj_weakref': <weakref at 0x7ff59c0c6110; to 'Tensor' at 0x7ff5a98dc1d0>
2022-11-23T01:30:19.5677534Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5677847Z             }
2022-11-23T01:30:19.5678055Z             
2022-11-23T01:30:19.5678298Z  - 
2022-11-23T01:30:19.5678592Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5678841Z             {
2022-11-23T01:30:19.5679180Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5679601Z                 'code': ['___check_obj_id(model, 140693063089888)'],
2022-11-23T01:30:19.5680113Z                 'obj_weakref': <weakref at 0x7ff5a97cf240; to 'Sequential' at 0x7ff5a80c3ee0>
2022-11-23T01:30:19.5680743Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5681124Z             }
2022-11-23T01:30:19.5681346Z             
2022-11-23T01:30:19.5681626Z  - 
2022-11-23T01:30:19.5681957Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5682268Z             {
2022-11-23T01:30:19.5682658Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5683222Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5683662Z                 'obj_weakref': None
2022-11-23T01:30:19.5684186Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5684529Z             }
2022-11-23T01:30:19.5684740Z             
2022-11-23T01:30:19.5685003Z  - 
2022-11-23T01:30:19.5685415Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5685698Z             {
2022-11-23T01:30:19.5686071Z                 'guard_types': None,
2022-11-23T01:30:19.5686444Z                 'code': None,
2022-11-23T01:30:19.5686822Z                 'obj_weakref': None
2022-11-23T01:30:19.5687201Z                 'guarded_class': None
2022-11-23T01:30:19.5687531Z             }
2022-11-23T01:30:19.5687758Z             
2022-11-23T01:30:19.5687983Z  - 
2022-11-23T01:30:19.5688439Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5688741Z             {
2022-11-23T01:30:19.5689087Z                 'guard_types': None,
2022-11-23T01:30:19.5689471Z                 'code': None,
2022-11-23T01:30:19.5689863Z                 'obj_weakref': None
2022-11-23T01:30:19.5690258Z                 'guarded_class': None
2022-11-23T01:30:19.5690556Z             }
2022-11-23T01:30:19.5690820Z             
2022-11-23T01:30:19.5691474Z [2022-11-23 01:23:11,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 81
2022-11-23T01:30:19.5692540Z [2022-11-23 01:23:11,476] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5prxerzath5veg7zvjocivp2rmk5qlzyrvbpy3lfr2hcvfquhzd.py
2022-11-23T01:30:19.5693620Z [2022-11-23 01:23:11,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 81
2022-11-23T01:30:19.5694422Z [2022-11-23 01:23:11,490] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5695334Z [2022-11-23 01:23:11,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5696148Z [2022-11-23 01:23:11,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5697097Z [2022-11-23 01:23:11,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5697933Z [2022-11-23 01:23:11,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5698869Z [2022-11-23 01:23:11,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5699914Z [2022-11-23 01:23:11,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5700958Z [2022-11-23 01:23:11,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5701833Z [2022-11-23 01:23:11,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5702590Z [2022-11-23 01:23:11,505] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5703385Z [2022-11-23 01:23:11,506] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5704187Z [2022-11-23 01:23:11,524] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5704867Z [2022-11-23 01:23:11,524] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5705377Z  __compiled_fn_83 <eval_with_key>.647 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5705821Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5706185Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5706547Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5706781Z 
2022-11-23T01:30:19.5707331Z [2022-11-23 01:23:11,525] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5707908Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5708267Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5708601Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5708972Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5709336Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5709704Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5710035Z              12 RETURN_VALUE
2022-11-23T01:30:19.5710241Z 
2022-11-23T01:30:19.5710348Z  
2022-11-23T01:30:19.5711257Z [2022-11-23 01:23:11,525] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5711859Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_83)
2022-11-23T01:30:19.5712258Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5712620Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5712947Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5713299Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5713666Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5714082Z              12 RETURN_VALUE
2022-11-23T01:30:19.5714283Z 
2022-11-23T01:30:19.5714395Z  
2022-11-23T01:30:19.5714895Z [2022-11-23 01:23:11,525] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5715289Z  - 
2022-11-23T01:30:19.5715649Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5716033Z             {
2022-11-23T01:30:19.5716457Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5717003Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5717468Z                 'obj_weakref': None
2022-11-23T01:30:19.5718080Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5718471Z             }
2022-11-23T01:30:19.5718756Z             
2022-11-23T01:30:19.5719048Z  - 
2022-11-23T01:30:19.5719417Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5719738Z             {
2022-11-23T01:30:19.5720161Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5720566Z                 'code': None,
2022-11-23T01:30:19.5721146Z                 'obj_weakref': <weakref at 0x7ff58ff03dd0; to 'Tensor' at 0x7ff5a9790680>
2022-11-23T01:30:19.5721871Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5722324Z             }
2022-11-23T01:30:19.5722593Z             
2022-11-23T01:30:19.5722889Z  - 
2022-11-23T01:30:19.5723263Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5723569Z             {
2022-11-23T01:30:19.5723981Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5724499Z                 'code': ['___check_obj_id(model, 140693066255088)'],
2022-11-23T01:30:19.5725124Z                 'obj_weakref': <weakref at 0x7ff58ff027f0; to 'Sequential' at 0x7ff5a83c8af0>
2022-11-23T01:30:19.5725853Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5726274Z             }
2022-11-23T01:30:19.5726558Z             
2022-11-23T01:30:19.5726834Z  - 
2022-11-23T01:30:19.5727220Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5727543Z             {
2022-11-23T01:30:19.5727938Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5728555Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5729062Z                 'obj_weakref': None
2022-11-23T01:30:19.5729651Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5730056Z             }
2022-11-23T01:30:19.5730335Z             
2022-11-23T01:30:19.5730605Z  - 
2022-11-23T01:30:19.5731027Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5731364Z             {
2022-11-23T01:30:19.5731727Z                 'guard_types': None,
2022-11-23T01:30:19.5732120Z                 'code': None,
2022-11-23T01:30:19.5732519Z                 'obj_weakref': None
2022-11-23T01:30:19.5732929Z                 'guarded_class': None
2022-11-23T01:30:19.5733234Z             }
2022-11-23T01:30:19.5733489Z             
2022-11-23T01:30:19.5733743Z  - 
2022-11-23T01:30:19.5734163Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5734501Z             {
2022-11-23T01:30:19.5734859Z                 'guard_types': None,
2022-11-23T01:30:19.5735167Z                 'code': None,
2022-11-23T01:30:19.5735543Z                 'obj_weakref': None
2022-11-23T01:30:19.5735947Z                 'guarded_class': None
2022-11-23T01:30:19.5736187Z             }
2022-11-23T01:30:19.5736523Z             
2022-11-23T01:30:19.5737082Z [2022-11-23 01:23:11,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 82
2022-11-23T01:30:19.5738089Z [2022-11-23 01:23:11,540] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/or/corlpjgxuxz6dsfs7yuccyybs2nj6kku2ewgi6byzmvph5fzxc2k.py
2022-11-23T01:30:19.5738894Z [2022-11-23 01:23:11,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 82
2022-11-23T01:30:19.5739627Z [2022-11-23 01:23:11,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5740374Z [2022-11-23 01:23:11,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5741212Z [2022-11-23 01:23:11,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5741813Z [2022-11-23 01:23:11,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5742408Z [2022-11-23 01:23:11,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5742924Z [2022-11-23 01:23:11,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5743487Z [2022-11-23 01:23:11,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5744030Z [2022-11-23 01:23:11,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5744508Z [2022-11-23 01:23:11,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5744928Z [2022-11-23 01:23:11,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5745358Z [2022-11-23 01:23:11,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5745782Z [2022-11-23 01:23:11,633] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5746153Z [2022-11-23 01:23:11,634] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5746444Z  __compiled_fn_84 <eval_with_key>.658 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5746679Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5746899Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5747125Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5747259Z 
2022-11-23T01:30:19.5747590Z [2022-11-23 01:23:11,634] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5747909Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5748121Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5748329Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5748524Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5748728Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5749301Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5749486Z              12 RETURN_VALUE
2022-11-23T01:30:19.5749602Z 
2022-11-23T01:30:19.5749665Z  
2022-11-23T01:30:19.5750082Z [2022-11-23 01:23:11,634] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5750432Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_84)
2022-11-23T01:30:19.5750646Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5750855Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5751049Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5751320Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5751533Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5751726Z              12 RETURN_VALUE
2022-11-23T01:30:19.5751843Z 
2022-11-23T01:30:19.5751892Z  
2022-11-23T01:30:19.5752164Z [2022-11-23 01:23:11,635] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5752387Z  - 
2022-11-23T01:30:19.5752586Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5752768Z             {
2022-11-23T01:30:19.5753008Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5753309Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5753576Z                 'obj_weakref': None
2022-11-23T01:30:19.5754016Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5754294Z             }
2022-11-23T01:30:19.5754441Z             
2022-11-23T01:30:19.5754611Z  - 
2022-11-23T01:30:19.5754831Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5755001Z             {
2022-11-23T01:30:19.5755479Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5755716Z                 'code': None,
2022-11-23T01:30:19.5756026Z                 'obj_weakref': <weakref at 0x7ff5a8078ae0; to 'Tensor' at 0x7ff59c046160>
2022-11-23T01:30:19.5756443Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5756694Z             }
2022-11-23T01:30:19.5756843Z             
2022-11-23T01:30:19.5757008Z  - 
2022-11-23T01:30:19.5757220Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5757389Z             {
2022-11-23T01:30:19.5757618Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5757917Z                 'code': ['___check_obj_id(model, 140693066255088)'],
2022-11-23T01:30:19.5758263Z                 'obj_weakref': <weakref at 0x7ff58ff027f0; to 'Sequential' at 0x7ff5a83c8af0>
2022-11-23T01:30:19.5758668Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5759010Z             }
2022-11-23T01:30:19.5759171Z             
2022-11-23T01:30:19.5759323Z  - 
2022-11-23T01:30:19.5759540Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5759727Z             {
2022-11-23T01:30:19.5759943Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5760283Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5760572Z                 'obj_weakref': None
2022-11-23T01:30:19.5760898Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5761130Z             }
2022-11-23T01:30:19.5761291Z             
2022-11-23T01:30:19.5761442Z  - 
2022-11-23T01:30:19.5761675Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5761866Z             {
2022-11-23T01:30:19.5762070Z                 'guard_types': None,
2022-11-23T01:30:19.5762292Z                 'code': None,
2022-11-23T01:30:19.5762518Z                 'obj_weakref': None
2022-11-23T01:30:19.5762739Z                 'guarded_class': None
2022-11-23T01:30:19.5762918Z             }
2022-11-23T01:30:19.5763077Z             
2022-11-23T01:30:19.5763228Z  - 
2022-11-23T01:30:19.5763459Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5763648Z             {
2022-11-23T01:30:19.5763848Z                 'guard_types': None,
2022-11-23T01:30:19.5764071Z                 'code': None,
2022-11-23T01:30:19.5764296Z                 'obj_weakref': None
2022-11-23T01:30:19.5764516Z                 'guarded_class': None
2022-11-23T01:30:19.5764696Z             }
2022-11-23T01:30:19.5764855Z             
2022-11-23T01:30:19.5765212Z [2022-11-23 01:23:11,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 83
2022-11-23T01:30:19.5765825Z [2022-11-23 01:23:11,660] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijnfux3uansbazibtw345rwikdm4tlxknsq7f4h3gzzzyxnzqeu.py
2022-11-23T01:30:19.5766364Z [2022-11-23 01:23:11,661] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 83
2022-11-23T01:30:19.5766798Z [2022-11-23 01:23:11,735] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5767295Z [2022-11-23 01:23:11,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5767724Z [2022-11-23 01:23:11,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5768138Z [2022-11-23 01:23:11,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5768626Z [2022-11-23 01:23:11,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5769129Z [2022-11-23 01:23:11,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5769688Z [2022-11-23 01:23:11,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5770239Z [2022-11-23 01:23:11,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5770711Z [2022-11-23 01:23:11,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5771117Z [2022-11-23 01:23:11,750] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5771551Z [2022-11-23 01:23:11,751] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5771996Z [2022-11-23 01:23:11,766] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5772368Z [2022-11-23 01:23:11,767] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5772638Z  __compiled_fn_85 <eval_with_key>.669 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5772898Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5773103Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5773323Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5773458Z 
2022-11-23T01:30:19.5773782Z [2022-11-23 01:23:11,767] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5774094Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5774303Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5774505Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5774700Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5774898Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5775101Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5775290Z              12 RETURN_VALUE
2022-11-23T01:30:19.5775390Z 
2022-11-23T01:30:19.5775450Z  
2022-11-23T01:30:19.5775860Z [2022-11-23 01:23:11,767] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5776197Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_85)
2022-11-23T01:30:19.5776536Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5776774Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5776971Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5777156Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5777367Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5777564Z              12 RETURN_VALUE
2022-11-23T01:30:19.5777679Z 
2022-11-23T01:30:19.5777742Z  
2022-11-23T01:30:19.5778071Z [2022-11-23 01:23:11,768] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5778295Z  - 
2022-11-23T01:30:19.5778508Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5778675Z             {
2022-11-23T01:30:19.5778918Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5779232Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5779488Z                 'obj_weakref': None
2022-11-23T01:30:19.5779829Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5780062Z             }
2022-11-23T01:30:19.5780209Z             
2022-11-23T01:30:19.5780376Z  - 
2022-11-23T01:30:19.5780590Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5780760Z             {
2022-11-23T01:30:19.5781000Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5781280Z                 'code': None,
2022-11-23T01:30:19.5781591Z                 'obj_weakref': <weakref at 0x7ff5a87f1f80; to 'Tensor' at 0x7ff59c0467a0>
2022-11-23T01:30:19.5782010Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5782265Z             }
2022-11-23T01:30:19.5782426Z             
2022-11-23T01:30:19.5782575Z  - 
2022-11-23T01:30:19.5782792Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5782970Z             {
2022-11-23T01:30:19.5783184Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5783476Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:19.5783829Z                 'obj_weakref': <weakref at 0x7ff5a807aed0; to 'Sequential' at 0x7ff5a97fd9c0>
2022-11-23T01:30:19.5784216Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5784451Z             }
2022-11-23T01:30:19.5784610Z             
2022-11-23T01:30:19.5784757Z  - 
2022-11-23T01:30:19.5784965Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5785143Z             {
2022-11-23T01:30:19.5785362Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5785698Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5785976Z                 'obj_weakref': None
2022-11-23T01:30:19.5786298Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5786523Z             }
2022-11-23T01:30:19.5786676Z             
2022-11-23T01:30:19.5786834Z  - 
2022-11-23T01:30:19.5787051Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5787240Z             {
2022-11-23T01:30:19.5787447Z                 'guard_types': None,
2022-11-23T01:30:19.5787653Z                 'code': None,
2022-11-23T01:30:19.5787877Z                 'obj_weakref': None
2022-11-23T01:30:19.5788112Z                 'guarded_class': None
2022-11-23T01:30:19.5788278Z             }
2022-11-23T01:30:19.5788434Z             
2022-11-23T01:30:19.5788758Z  - 
2022-11-23T01:30:19.5788982Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5789170Z             {
2022-11-23T01:30:19.5789430Z                 'guard_types': None,
2022-11-23T01:30:19.5789635Z                 'code': None,
2022-11-23T01:30:19.5789857Z                 'obj_weakref': None
2022-11-23T01:30:19.5790088Z                 'guarded_class': None
2022-11-23T01:30:19.5790254Z             }
2022-11-23T01:30:19.5790408Z             
2022-11-23T01:30:19.5790765Z [2022-11-23 01:23:11,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 84
2022-11-23T01:30:19.5790962Z 
2022-11-23T01:30:19.5791044Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5791233Z import torch
2022-11-23T01:30:19.5791399Z import random
2022-11-23T01:30:19.5791601Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5791866Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5792022Z 
2022-11-23T01:30:19.5792101Z aten = torch.ops.aten
2022-11-23T01:30:19.5792378Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5792615Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5792743Z 
2022-11-23T01:30:19.5792747Z 
2022-11-23T01:30:19.5792834Z async_compile.wait(globals())
2022-11-23T01:30:19.5793022Z del async_compile
2022-11-23T01:30:19.5793128Z 
2022-11-23T01:30:19.5793186Z def call(args):
2022-11-23T01:30:19.5793401Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5793615Z     args.clear()
2022-11-23T01:30:19.5793898Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T01:30:19.5794157Z     assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1))
2022-11-23T01:30:19.5794354Z     del arg0_1
2022-11-23T01:30:19.5794504Z     del arg1_1
2022-11-23T01:30:19.5794708Z     del arg7_1
2022-11-23T01:30:19.5794874Z     return (buf0, )
2022-11-23T01:30:19.5794982Z 
2022-11-23T01:30:19.5794987Z 
2022-11-23T01:30:19.5795066Z if __name__ == "__main__":
2022-11-23T01:30:19.5795273Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5795534Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5795892Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5796229Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5796575Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5796908Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5797238Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5797554Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5797879Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5798232Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5798528Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5798705Z 
2022-11-23T01:30:19.5798710Z 
2022-11-23T01:30:19.5798804Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5798998Z import torch
2022-11-23T01:30:19.5799154Z import random
2022-11-23T01:30:19.5799496Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5799792Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5799946Z 
2022-11-23T01:30:19.5800025Z aten = torch.ops.aten
2022-11-23T01:30:19.5800255Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5800503Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5800629Z 
2022-11-23T01:30:19.5800633Z 
2022-11-23T01:30:19.5800723Z async_compile.wait(globals())
2022-11-23T01:30:19.5800901Z del async_compile
2022-11-23T01:30:19.5801008Z 
2022-11-23T01:30:19.5801077Z def call(args):
2022-11-23T01:30:19.5801299Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5801500Z     args.clear()
2022-11-23T01:30:19.5801733Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.5801999Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T01:30:19.5802198Z     del arg0_1
2022-11-23T01:30:19.5802348Z     del arg1_1
2022-11-23T01:30:19.5802504Z     del arg7_1
2022-11-23T01:30:19.5802670Z     return (buf0, )
2022-11-23T01:30:19.5802764Z 
2022-11-23T01:30:19.5802769Z 
2022-11-23T01:30:19.5802843Z if __name__ == "__main__":
2022-11-23T01:30:19.5803062Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5803321Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5803741Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5804109Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5804486Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5804820Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5805133Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5805467Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5805788Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5806143Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5806455Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5806632Z 
2022-11-23T01:30:19.5806670Z 
2022-11-23T01:30:19.5806767Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5806958Z import torch
2022-11-23T01:30:19.5807116Z import random
2022-11-23T01:30:19.5807330Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5807588Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5807740Z 
2022-11-23T01:30:19.5807806Z aten = torch.ops.aten
2022-11-23T01:30:19.5808046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5808292Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5808418Z 
2022-11-23T01:30:19.5808423Z 
2022-11-23T01:30:19.5808499Z async_compile.wait(globals())
2022-11-23T01:30:19.5808691Z del async_compile
2022-11-23T01:30:19.5808800Z 
2022-11-23T01:30:19.5808870Z def call(args):
2022-11-23T01:30:19.5809089Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5809287Z     args.clear()
2022-11-23T01:30:19.5809596Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.5809871Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T01:30:19.5810061Z     del arg0_1
2022-11-23T01:30:19.5810228Z     del arg1_1
2022-11-23T01:30:19.5810389Z     del arg7_1
2022-11-23T01:30:19.5810543Z     return (buf0, )
2022-11-23T01:30:19.5810652Z 
2022-11-23T01:30:19.5810656Z 
2022-11-23T01:30:19.5810736Z if __name__ == "__main__":
2022-11-23T01:30:19.5810954Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5811203Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5811578Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5811929Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5812284Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5812602Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5812944Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5813279Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5813589Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5813959Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5814278Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5814458Z 
2022-11-23T01:30:19.5814462Z 
2022-11-23T01:30:19.5814558Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5814742Z import torch
2022-11-23T01:30:19.5814913Z import random
2022-11-23T01:30:19.5815132Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5815381Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5815534Z 
2022-11-23T01:30:19.5815615Z aten = torch.ops.aten
2022-11-23T01:30:19.5815865Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5816104Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5816237Z 
2022-11-23T01:30:19.5816276Z 
2022-11-23T01:30:19.5816368Z async_compile.wait(globals())
2022-11-23T01:30:19.5816733Z del async_compile
2022-11-23T01:30:19.5816845Z 
2022-11-23T01:30:19.5816917Z def call(args):
2022-11-23T01:30:19.5817124Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5817341Z     args.clear()
2022-11-23T01:30:19.5817580Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:30:19.5817838Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T01:30:19.5818046Z     del arg0_1
2022-11-23T01:30:19.5818213Z     del arg1_1
2022-11-23T01:30:19.5818363Z     del arg7_1
2022-11-23T01:30:19.5818532Z     return (buf0, )
2022-11-23T01:30:19.5818640Z 
2022-11-23T01:30:19.5818698Z 
2022-11-23T01:30:19.5818776Z if __name__ == "__main__":
2022-11-23T01:30:19.5818998Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5819251Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5819623Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5819976Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5820307Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5820651Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5820984Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5821314Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5821619Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5821991Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5822305Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5822483Z 
2022-11-23T01:30:19.5822488Z 
2022-11-23T01:30:19.5822571Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5822768Z import torch
2022-11-23T01:30:19.5822937Z import random
2022-11-23T01:30:19.5823137Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5823394Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5823545Z 
2022-11-23T01:30:19.5823623Z aten = torch.ops.aten
2022-11-23T01:30:19.5823865Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5824099Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5824225Z 
2022-11-23T01:30:19.5824230Z 
2022-11-23T01:30:19.5824318Z async_compile.wait(globals())
2022-11-23T01:30:19.5824509Z del async_compile
2022-11-23T01:30:19.5824614Z 
2022-11-23T01:30:19.5824674Z def call(args):
2022-11-23T01:30:19.5824889Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5825104Z     args.clear()
2022-11-23T01:30:19.5825325Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:30:19.5825592Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T01:30:19.5825792Z     del arg0_1
2022-11-23T01:30:19.5825953Z     del arg1_1
2022-11-23T01:30:19.5826099Z     del arg7_1
2022-11-23T01:30:19.5826263Z     return (buf0, )
2022-11-23T01:30:19.5826369Z 
2022-11-23T01:30:19.5826374Z 
2022-11-23T01:30:19.5826451Z if __name__ == "__main__":
2022-11-23T01:30:19.5826657Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5826916Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5827274Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5827615Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5827954Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5828346Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5828683Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5829000Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5829326Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5829694Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5829997Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5830174Z 
2022-11-23T01:30:19.5830553Z [2022-11-23 01:23:11,783] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm72mgnroaydldfhwsnwrfwyqmzgsgmpxazzx54i4symsnfd7j2s.py
2022-11-23T01:30:19.5831125Z [2022-11-23 01:23:11,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 84
2022-11-23T01:30:19.5831555Z [2022-11-23 01:23:11,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5832034Z [2022-11-23 01:23:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5832473Z [2022-11-23 01:23:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5832878Z [2022-11-23 01:23:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5833323Z [2022-11-23 01:23:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5833891Z [2022-11-23 01:23:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5834464Z [2022-11-23 01:23:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5835016Z [2022-11-23 01:23:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5835484Z [2022-11-23 01:23:11,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5835892Z [2022-11-23 01:23:11,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5836324Z [2022-11-23 01:23:11,807] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5836757Z [2022-11-23 01:23:11,823] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5837127Z [2022-11-23 01:23:11,823] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5837400Z  __compiled_fn_86 <eval_with_key>.680 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5837650Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5837866Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5838074Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5838205Z 
2022-11-23T01:30:19.5838530Z [2022-11-23 01:23:11,824] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5838854Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5839061Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5839134Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5839224Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5839307Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5839393Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5839469Z              12 RETURN_VALUE
2022-11-23T01:30:19.5839474Z 
2022-11-23T01:30:19.5839536Z  
2022-11-23T01:30:19.5839895Z [2022-11-23 01:23:11,824] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5840003Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_86)
2022-11-23T01:30:19.5840080Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5840167Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5840242Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5840329Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5840416Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5840488Z              12 RETURN_VALUE
2022-11-23T01:30:19.5840493Z 
2022-11-23T01:30:19.5840552Z  
2022-11-23T01:30:19.5840723Z [2022-11-23 01:23:11,825] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5840819Z  - 
2022-11-23T01:30:19.5840937Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5841001Z             {
2022-11-23T01:30:19.5841140Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5841328Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5841446Z                 'obj_weakref': None
2022-11-23T01:30:19.5841657Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5841720Z             }
2022-11-23T01:30:19.5841781Z             
2022-11-23T01:30:19.5841846Z  - 
2022-11-23T01:30:19.5841967Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5842028Z             {
2022-11-23T01:30:19.5842168Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5842261Z                 'code': None,
2022-11-23T01:30:19.5842471Z                 'obj_weakref': <weakref at 0x7ff5a8500c20; to 'Tensor' at 0x7ff5a807ab60>
2022-11-23T01:30:19.5842727Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5842791Z             }
2022-11-23T01:30:19.5842853Z             
2022-11-23T01:30:19.5842920Z  - 
2022-11-23T01:30:19.5843040Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5843091Z             {
2022-11-23T01:30:19.5843225Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5843395Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:19.5843611Z                 'obj_weakref': <weakref at 0x7ff5a8231210; to 'Sequential' at 0x7ff5a97fd9c0>
2022-11-23T01:30:19.5843842Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5843904Z             }
2022-11-23T01:30:19.5843966Z             
2022-11-23T01:30:19.5844022Z  - 
2022-11-23T01:30:19.5844140Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5844201Z             {
2022-11-23T01:30:19.5844336Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5844555Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5844673Z                 'obj_weakref': None
2022-11-23T01:30:19.5844891Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5844941Z             }
2022-11-23T01:30:19.5845003Z             
2022-11-23T01:30:19.5845069Z  - 
2022-11-23T01:30:19.5845212Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5845273Z             {
2022-11-23T01:30:19.5845390Z                 'guard_types': None,
2022-11-23T01:30:19.5845496Z                 'code': None,
2022-11-23T01:30:19.5845599Z                 'obj_weakref': None
2022-11-23T01:30:19.5845718Z                 'guarded_class': None
2022-11-23T01:30:19.5845779Z             }
2022-11-23T01:30:19.5845840Z             
2022-11-23T01:30:19.5845907Z  - 
2022-11-23T01:30:19.5846049Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5846112Z             {
2022-11-23T01:30:19.5846218Z                 'guard_types': None,
2022-11-23T01:30:19.5846320Z                 'code': None,
2022-11-23T01:30:19.5846481Z                 'obj_weakref': None
2022-11-23T01:30:19.5846601Z                 'guarded_class': None
2022-11-23T01:30:19.5846662Z             }
2022-11-23T01:30:19.5846723Z             
2022-11-23T01:30:19.5846977Z [2022-11-23 01:23:11,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 85
2022-11-23T01:30:19.5847326Z [2022-11-23 01:23:11,839] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5hne224xqpmbz2iwctwmn3ftlihzfntp675knd3uggo3gsrfrp.py
2022-11-23T01:30:19.5847586Z [2022-11-23 01:23:11,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 85
2022-11-23T01:30:19.5847822Z [2022-11-23 01:23:11,851] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5848161Z [2022-11-23 01:23:11,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5848378Z [2022-11-23 01:23:11,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5848621Z [2022-11-23 01:23:11,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5848885Z [2022-11-23 01:23:11,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5849196Z [2022-11-23 01:23:11,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5849532Z [2022-11-23 01:23:11,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5849844Z [2022-11-23 01:23:11,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5850080Z [2022-11-23 01:23:11,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5850312Z [2022-11-23 01:23:11,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5850564Z [2022-11-23 01:23:11,866] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5850809Z [2022-11-23 01:23:11,882] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5850998Z [2022-11-23 01:23:11,882] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5851131Z  __compiled_fn_87 <eval_with_key>.691 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5851219Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5851315Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5851401Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5851409Z 
2022-11-23T01:30:19.5851733Z [2022-11-23 01:23:11,882] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5851824Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5851914Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5851999Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5852090Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5852173Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5852259Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5852322Z              12 RETURN_VALUE
2022-11-23T01:30:19.5852327Z 
2022-11-23T01:30:19.5852387Z  
2022-11-23T01:30:19.5852705Z [2022-11-23 01:23:11,882] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5852814Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_87)
2022-11-23T01:30:19.5852902Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5853018Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5853096Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5853183Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5853258Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5853331Z              12 RETURN_VALUE
2022-11-23T01:30:19.5853336Z 
2022-11-23T01:30:19.5853396Z  
2022-11-23T01:30:19.5853577Z [2022-11-23 01:23:11,883] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5853646Z  - 
2022-11-23T01:30:19.5853763Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5853826Z             {
2022-11-23T01:30:19.5853954Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5854138Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5854256Z                 'obj_weakref': None
2022-11-23T01:30:19.5854508Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5854572Z             }
2022-11-23T01:30:19.5854636Z             
2022-11-23T01:30:19.5854704Z  - 
2022-11-23T01:30:19.5854814Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5854875Z             {
2022-11-23T01:30:19.5855017Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5855127Z                 'code': None,
2022-11-23T01:30:19.5855341Z                 'obj_weakref': <weakref at 0x7ff5a87f1760; to 'Tensor' at 0x7ff5a8c121b0>
2022-11-23T01:30:19.5855595Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5855659Z             }
2022-11-23T01:30:19.5855711Z             
2022-11-23T01:30:19.5855780Z  - 
2022-11-23T01:30:19.5855902Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5855967Z             {
2022-11-23T01:30:19.5856105Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5856274Z                 'code': ['___check_obj_id(model, 140695482315536)'],
2022-11-23T01:30:19.5856721Z                 'obj_weakref': <weakref at 0x7ff5a87f1800; to 'Sequential' at 0x7ff6383eb310>
2022-11-23T01:30:19.5856947Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5857012Z             }
2022-11-23T01:30:19.5857077Z             
2022-11-23T01:30:19.5857150Z  - 
2022-11-23T01:30:19.5857274Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5857338Z             {
2022-11-23T01:30:19.5857475Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5857680Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5857799Z                 'obj_weakref': None
2022-11-23T01:30:19.5858022Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5858094Z             }
2022-11-23T01:30:19.5858159Z             
2022-11-23T01:30:19.5858229Z  - 
2022-11-23T01:30:19.5858377Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5858430Z             {
2022-11-23T01:30:19.5858551Z                 'guard_types': None,
2022-11-23T01:30:19.5858659Z                 'code': None,
2022-11-23T01:30:19.5858777Z                 'obj_weakref': None
2022-11-23T01:30:19.5858899Z                 'guarded_class': None
2022-11-23T01:30:19.5858964Z             }
2022-11-23T01:30:19.5859028Z             
2022-11-23T01:30:19.5859083Z  - 
2022-11-23T01:30:19.5859227Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5859292Z             {
2022-11-23T01:30:19.5859411Z                 'guard_types': None,
2022-11-23T01:30:19.5859519Z                 'code': None,
2022-11-23T01:30:19.5859637Z                 'obj_weakref': None
2022-11-23T01:30:19.5859744Z                 'guarded_class': None
2022-11-23T01:30:19.5859808Z             }
2022-11-23T01:30:19.5859874Z             
2022-11-23T01:30:19.5860133Z [2022-11-23 01:23:11,892] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 86
2022-11-23T01:30:19.5860554Z [2022-11-23 01:23:11,897] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2yxxcymttmoi3aus43srazullzlsf5zsjiog5ovwktdn2orvqr.py
2022-11-23T01:30:19.5860818Z [2022-11-23 01:23:11,898] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 86
2022-11-23T01:30:19.5861056Z [2022-11-23 01:23:11,922] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5861372Z [2022-11-23 01:23:11,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5861590Z [2022-11-23 01:23:11,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5861818Z [2022-11-23 01:23:11,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5862125Z [2022-11-23 01:23:11,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5862440Z [2022-11-23 01:23:11,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5862775Z [2022-11-23 01:23:11,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5863086Z [2022-11-23 01:23:11,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5863333Z [2022-11-23 01:23:11,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5863567Z [2022-11-23 01:23:11,937] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5863825Z [2022-11-23 01:23:11,938] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5864074Z [2022-11-23 01:23:11,954] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5864251Z [2022-11-23 01:23:11,954] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5864385Z  __compiled_fn_88 <eval_with_key>.702 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5864473Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5864570Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5864670Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5864675Z 
2022-11-23T01:30:19.5865001Z [2022-11-23 01:23:11,955] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5865094Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5865186Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5865259Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5865349Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5865434Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5865520Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5865595Z              12 RETURN_VALUE
2022-11-23T01:30:19.5865600Z 
2022-11-23T01:30:19.5865661Z  
2022-11-23T01:30:19.5865981Z [2022-11-23 01:23:11,955] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5866088Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_88)
2022-11-23T01:30:19.5866165Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5866252Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5866328Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5866414Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5866505Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5866577Z              12 RETURN_VALUE
2022-11-23T01:30:19.5866582Z 
2022-11-23T01:30:19.5866642Z  
2022-11-23T01:30:19.5866839Z [2022-11-23 01:23:11,956] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5866907Z  - 
2022-11-23T01:30:19.5867024Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5867086Z             {
2022-11-23T01:30:19.5867225Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5867411Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5867528Z                 'obj_weakref': None
2022-11-23T01:30:19.5867737Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5867803Z             }
2022-11-23T01:30:19.5867865Z             
2022-11-23T01:30:19.5867933Z  - 
2022-11-23T01:30:19.5868054Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5868145Z             {
2022-11-23T01:30:19.5868284Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5868377Z                 'code': None,
2022-11-23T01:30:19.5868592Z                 'obj_weakref': <weakref at 0x7ff58fdc1a30; to 'Tensor' at 0x7ff5a82304f0>
2022-11-23T01:30:19.5868846Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5868908Z             }
2022-11-23T01:30:19.5868969Z             
2022-11-23T01:30:19.5869035Z  - 
2022-11-23T01:30:19.5869152Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5869203Z             {
2022-11-23T01:30:19.5869335Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5869499Z                 'code': ['___check_obj_id(model, 140695482315536)'],
2022-11-23T01:30:19.5869717Z                 'obj_weakref': <weakref at 0x7ff5a87f1800; to 'Sequential' at 0x7ff6383eb310>
2022-11-23T01:30:19.5869949Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5870012Z             }
2022-11-23T01:30:19.5870077Z             
2022-11-23T01:30:19.5870133Z  - 
2022-11-23T01:30:19.5870254Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5870316Z             {
2022-11-23T01:30:19.5870451Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5870667Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5870784Z                 'obj_weakref': None
2022-11-23T01:30:19.5871001Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5871063Z             }
2022-11-23T01:30:19.5871113Z             
2022-11-23T01:30:19.5871179Z  - 
2022-11-23T01:30:19.5871322Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5871383Z             {
2022-11-23T01:30:19.5871500Z                 'guard_types': None,
2022-11-23T01:30:19.5871604Z                 'code': None,
2022-11-23T01:30:19.5871710Z                 'obj_weakref': None
2022-11-23T01:30:19.5871828Z                 'guarded_class': None
2022-11-23T01:30:19.5871890Z             }
2022-11-23T01:30:19.5871953Z             
2022-11-23T01:30:19.5872019Z  - 
2022-11-23T01:30:19.5872160Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5872221Z             {
2022-11-23T01:30:19.5872326Z                 'guard_types': None,
2022-11-23T01:30:19.5872428Z                 'code': None,
2022-11-23T01:30:19.5872544Z                 'obj_weakref': None
2022-11-23T01:30:19.5872662Z                 'guarded_class': None
2022-11-23T01:30:19.5872724Z             }
2022-11-23T01:30:19.5872785Z             
2022-11-23T01:30:19.5873043Z [2022-11-23 01:23:11,965] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 87
2022-11-23T01:30:19.5873391Z [2022-11-23 01:23:11,970] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpx3xs33qdv33dvpqv2ac2ttf5hpsz7rbvfdrbfaz744dtzrdsln.py
2022-11-23T01:30:19.5873656Z [2022-11-23 01:23:11,970] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 87
2022-11-23T01:30:19.5874009Z [2022-11-23 01:23:11,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5874334Z [2022-11-23 01:23:11,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5874554Z [2022-11-23 01:23:11,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5874797Z [2022-11-23 01:23:11,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5875062Z [2022-11-23 01:23:11,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5875372Z [2022-11-23 01:23:11,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5875740Z [2022-11-23 01:23:11,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5876052Z [2022-11-23 01:23:11,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5876283Z [2022-11-23 01:23:12,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5876513Z [2022-11-23 01:23:12,007] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5876765Z [2022-11-23 01:23:12,008] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5877010Z [2022-11-23 01:23:12,023] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5877198Z [2022-11-23 01:23:12,024] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5877332Z  __compiled_fn_89 <eval_with_key>.713 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5877423Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5877522Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5877607Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5877625Z 
2022-11-23T01:30:19.5877935Z [2022-11-23 01:23:12,024] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5878027Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5878117Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5878201Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5878292Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5878374Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5878458Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5878524Z              12 RETURN_VALUE
2022-11-23T01:30:19.5878530Z 
2022-11-23T01:30:19.5878589Z  
2022-11-23T01:30:19.5878912Z [2022-11-23 01:23:12,024] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5879019Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_89)
2022-11-23T01:30:19.5879107Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5879194Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5879270Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5879357Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5879434Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5879507Z              12 RETURN_VALUE
2022-11-23T01:30:19.5879513Z 
2022-11-23T01:30:19.5879571Z  
2022-11-23T01:30:19.5879750Z [2022-11-23 01:23:12,025] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5879818Z  - 
2022-11-23T01:30:19.5879937Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5879999Z             {
2022-11-23T01:30:19.5880127Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5880338Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5880458Z                 'obj_weakref': None
2022-11-23T01:30:19.5880678Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5880741Z             }
2022-11-23T01:30:19.5880802Z             
2022-11-23T01:30:19.5880869Z  - 
2022-11-23T01:30:19.5880980Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5881040Z             {
2022-11-23T01:30:19.5881179Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5881322Z                 'code': None,
2022-11-23T01:30:19.5881565Z                 'obj_weakref': <weakref at 0x7ff59c0c7e20; to 'Tensor' at 0x7ff5a8231940>
2022-11-23T01:30:19.5881814Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5881943Z             }
2022-11-23T01:30:19.5881993Z             
2022-11-23T01:30:19.5882060Z  - 
2022-11-23T01:30:19.5882178Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5882242Z             {
2022-11-23T01:30:19.5882372Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5882540Z                 'code': ['___check_obj_id(model, 140693066254752)'],
2022-11-23T01:30:19.5882759Z                 'obj_weakref': <weakref at 0x7ff58fdc1cb0; to 'Sequential' at 0x7ff5a83c89a0>
2022-11-23T01:30:19.5882980Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5883043Z             }
2022-11-23T01:30:19.5883105Z             
2022-11-23T01:30:19.5883174Z  - 
2022-11-23T01:30:19.5883294Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5883356Z             {
2022-11-23T01:30:19.5883490Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5883696Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5883812Z                 'obj_weakref': None
2022-11-23T01:30:19.5884034Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5884097Z             }
2022-11-23T01:30:19.5884158Z             
2022-11-23T01:30:19.5884226Z  - 
2022-11-23T01:30:19.5884368Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5884418Z             {
2022-11-23T01:30:19.5884535Z                 'guard_types': None,
2022-11-23T01:30:19.5884641Z                 'code': None,
2022-11-23T01:30:19.5884759Z                 'obj_weakref': None
2022-11-23T01:30:19.5884877Z                 'guarded_class': None
2022-11-23T01:30:19.5884938Z             }
2022-11-23T01:30:19.5885000Z             
2022-11-23T01:30:19.5885054Z  - 
2022-11-23T01:30:19.5885199Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5885263Z             {
2022-11-23T01:30:19.5885380Z                 'guard_types': None,
2022-11-23T01:30:19.5885486Z                 'code': None,
2022-11-23T01:30:19.5885602Z                 'obj_weakref': None
2022-11-23T01:30:19.5885709Z                 'guarded_class': None
2022-11-23T01:30:19.5885770Z             }
2022-11-23T01:30:19.5885831Z             
2022-11-23T01:30:19.5886088Z [2022-11-23 01:23:12,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 88
2022-11-23T01:30:19.5886452Z [2022-11-23 01:23:12,040] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6a3llsuycpro74cwmvio5agzgr3qjpmqljw63plljk2db4kgpx.py
2022-11-23T01:30:19.5886711Z [2022-11-23 01:23:12,040] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 88
2022-11-23T01:30:19.5886947Z [2022-11-23 01:23:12,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5887259Z [2022-11-23 01:23:12,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5887506Z [2022-11-23 01:23:12,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5887735Z [2022-11-23 01:23:12,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5888004Z [2022-11-23 01:23:12,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5888312Z [2022-11-23 01:23:12,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5888646Z [2022-11-23 01:23:12,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5888954Z [2022-11-23 01:23:12,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5889225Z [2022-11-23 01:23:12,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5889457Z [2022-11-23 01:23:12,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5889709Z [2022-11-23 01:23:12,064] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5889954Z [2022-11-23 01:23:12,079] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5890142Z [2022-11-23 01:23:12,080] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5890263Z  __compiled_fn_90 <eval_with_key>.724 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5890351Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5890447Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5890545Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5890553Z 
2022-11-23T01:30:19.5890875Z [2022-11-23 01:23:12,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5890972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5891063Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5891148Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5891226Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5891311Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5891402Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5891476Z              12 RETURN_VALUE
2022-11-23T01:30:19.5891482Z 
2022-11-23T01:30:19.5891545Z  
2022-11-23T01:30:19.5891867Z [2022-11-23 01:23:12,080] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5891975Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_90)
2022-11-23T01:30:19.5892053Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5892140Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5892217Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5892304Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5892392Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5892465Z              12 RETURN_VALUE
2022-11-23T01:30:19.5892470Z 
2022-11-23T01:30:19.5892529Z  
2022-11-23T01:30:19.5892709Z [2022-11-23 01:23:12,081] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5892765Z  - 
2022-11-23T01:30:19.5892881Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5892943Z             {
2022-11-23T01:30:19.5893085Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5893271Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5893388Z                 'obj_weakref': None
2022-11-23T01:30:19.5893612Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5893664Z             }
2022-11-23T01:30:19.5893726Z             
2022-11-23T01:30:19.5893841Z  - 
2022-11-23T01:30:19.5893966Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5894029Z             {
2022-11-23T01:30:19.5894167Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5894261Z                 'code': None,
2022-11-23T01:30:19.5894469Z                 'obj_weakref': <weakref at 0x7ff5a8541e40; to 'Tensor' at 0x7ff58fdc2cf0>
2022-11-23T01:30:19.5894717Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5894780Z             }
2022-11-23T01:30:19.5894842Z             
2022-11-23T01:30:19.5894910Z  - 
2022-11-23T01:30:19.5895027Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5895090Z             {
2022-11-23T01:30:19.5895210Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5895408Z                 'code': ['___check_obj_id(model, 140693066254752)'],
2022-11-23T01:30:19.5895628Z                 'obj_weakref': <weakref at 0x7ff58fdc1cb0; to 'Sequential' at 0x7ff5a83c89a0>
2022-11-23T01:30:19.5895860Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5895924Z             }
2022-11-23T01:30:19.5895986Z             
2022-11-23T01:30:19.5896053Z  - 
2022-11-23T01:30:19.5896160Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5896220Z             {
2022-11-23T01:30:19.5896354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5896726Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5896847Z                 'obj_weakref': None
2022-11-23T01:30:19.5897066Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5897130Z             }
2022-11-23T01:30:19.5897181Z             
2022-11-23T01:30:19.5897248Z  - 
2022-11-23T01:30:19.5897392Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5897455Z             {
2022-11-23T01:30:19.5897575Z                 'guard_types': None,
2022-11-23T01:30:19.5897680Z                 'code': None,
2022-11-23T01:30:19.5897796Z                 'obj_weakref': None
2022-11-23T01:30:19.5897904Z                 'guarded_class': None
2022-11-23T01:30:19.5897966Z             }
2022-11-23T01:30:19.5898028Z             
2022-11-23T01:30:19.5898094Z  - 
2022-11-23T01:30:19.5898237Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5898298Z             {
2022-11-23T01:30:19.5898403Z                 'guard_types': None,
2022-11-23T01:30:19.5898506Z                 'code': None,
2022-11-23T01:30:19.5898623Z                 'obj_weakref': None
2022-11-23T01:30:19.5898744Z                 'guarded_class': None
2022-11-23T01:30:19.5898805Z             }
2022-11-23T01:30:19.5898869Z             
2022-11-23T01:30:19.5899128Z [2022-11-23 01:23:12,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 89
2022-11-23T01:30:19.5899133Z 
2022-11-23T01:30:19.5899226Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5899283Z import torch
2022-11-23T01:30:19.5899351Z import random
2022-11-23T01:30:19.5899464Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5899582Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5899587Z 
2022-11-23T01:30:19.5899663Z aten = torch.ops.aten
2022-11-23T01:30:19.5899794Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5899884Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5899889Z 
2022-11-23T01:30:19.5899893Z 
2022-11-23T01:30:19.5899968Z async_compile.wait(globals())
2022-11-23T01:30:19.5900039Z del async_compile
2022-11-23T01:30:19.5900044Z 
2022-11-23T01:30:19.5900112Z def call(args):
2022-11-23T01:30:19.5900230Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5900302Z     args.clear()
2022-11-23T01:30:19.5900498Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:30:19.5900610Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T01:30:19.5900677Z     del arg0_1
2022-11-23T01:30:19.5900731Z     del arg1_1
2022-11-23T01:30:19.5900796Z     del arg7_1
2022-11-23T01:30:19.5900866Z     return (buf0, )
2022-11-23T01:30:19.5900871Z 
2022-11-23T01:30:19.5900876Z 
2022-11-23T01:30:19.5900950Z if __name__ == "__main__":
2022-11-23T01:30:19.5901062Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5901183Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5901395Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5901579Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5901810Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5901996Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5902182Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5902365Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5902543Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5902766Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5902917Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5902923Z 
2022-11-23T01:30:19.5902927Z 
2022-11-23T01:30:19.5903020Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5903076Z import torch
2022-11-23T01:30:19.5903144Z import random
2022-11-23T01:30:19.5903256Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5903376Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5903380Z 
2022-11-23T01:30:19.5903457Z aten = torch.ops.aten
2022-11-23T01:30:19.5903590Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5903680Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5903685Z 
2022-11-23T01:30:19.5903689Z 
2022-11-23T01:30:19.5903780Z async_compile.wait(globals())
2022-11-23T01:30:19.5903840Z del async_compile
2022-11-23T01:30:19.5903844Z 
2022-11-23T01:30:19.5903915Z def call(args):
2022-11-23T01:30:19.5904029Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5904099Z     args.clear()
2022-11-23T01:30:19.5904232Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:30:19.5904339Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T01:30:19.5904406Z     del arg0_1
2022-11-23T01:30:19.5904463Z     del arg1_1
2022-11-23T01:30:19.5904526Z     del arg7_1
2022-11-23T01:30:19.5904596Z     return (buf0, )
2022-11-23T01:30:19.5904601Z 
2022-11-23T01:30:19.5904605Z 
2022-11-23T01:30:19.5904682Z if __name__ == "__main__":
2022-11-23T01:30:19.5904792Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5904911Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5905119Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5905311Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5905486Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5905670Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5905853Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5906034Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5906214Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5906457Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5906612Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5906617Z 
2022-11-23T01:30:19.5906621Z 
2022-11-23T01:30:19.5906713Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5906769Z import torch
2022-11-23T01:30:19.5906837Z import random
2022-11-23T01:30:19.5906948Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5907065Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5907069Z 
2022-11-23T01:30:19.5907148Z aten = torch.ops.aten
2022-11-23T01:30:19.5907279Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5907369Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5907375Z 
2022-11-23T01:30:19.5907407Z 
2022-11-23T01:30:19.5907494Z async_compile.wait(globals())
2022-11-23T01:30:19.5907553Z del async_compile
2022-11-23T01:30:19.5907558Z 
2022-11-23T01:30:19.5907626Z def call(args):
2022-11-23T01:30:19.5907743Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5907813Z     args.clear()
2022-11-23T01:30:19.5907943Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:30:19.5908054Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T01:30:19.5908120Z     del arg0_1
2022-11-23T01:30:19.5908184Z     del arg1_1
2022-11-23T01:30:19.5908238Z     del arg7_1
2022-11-23T01:30:19.5908307Z     return (buf0, )
2022-11-23T01:30:19.5908311Z 
2022-11-23T01:30:19.5908315Z 
2022-11-23T01:30:19.5908389Z if __name__ == "__main__":
2022-11-23T01:30:19.5908499Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5908618Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5908831Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5909025Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5909205Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5909390Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5909573Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5909762Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5909937Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5910158Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5910311Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5910318Z 
2022-11-23T01:30:19.5910323Z 
2022-11-23T01:30:19.5910414Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5910482Z import torch
2022-11-23T01:30:19.5910541Z import random
2022-11-23T01:30:19.5910653Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5910769Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5910774Z 
2022-11-23T01:30:19.5910850Z aten = torch.ops.aten
2022-11-23T01:30:19.5910981Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5911070Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5911074Z 
2022-11-23T01:30:19.5911079Z 
2022-11-23T01:30:19.5911165Z async_compile.wait(globals())
2022-11-23T01:30:19.5911236Z del async_compile
2022-11-23T01:30:19.5911241Z 
2022-11-23T01:30:19.5911298Z def call(args):
2022-11-23T01:30:19.5911413Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5911483Z     args.clear()
2022-11-23T01:30:19.5911618Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:30:19.5911727Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T01:30:19.5911826Z     del arg0_1
2022-11-23T01:30:19.5911892Z     del arg1_1
2022-11-23T01:30:19.5911946Z     del arg7_1
2022-11-23T01:30:19.5912015Z     return (buf0, )
2022-11-23T01:30:19.5912020Z 
2022-11-23T01:30:19.5912024Z 
2022-11-23T01:30:19.5912098Z if __name__ == "__main__":
2022-11-23T01:30:19.5912208Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5912328Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5912538Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5912728Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5912917Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5913123Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5913309Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5913496Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5913672Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5913967Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5914121Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5914126Z 
2022-11-23T01:30:19.5914130Z 
2022-11-23T01:30:19.5914223Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5914291Z import torch
2022-11-23T01:30:19.5914349Z import random
2022-11-23T01:30:19.5914463Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5914579Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5914586Z 
2022-11-23T01:30:19.5914664Z aten = torch.ops.aten
2022-11-23T01:30:19.5914794Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5914886Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5914891Z 
2022-11-23T01:30:19.5914895Z 
2022-11-23T01:30:19.5914982Z async_compile.wait(globals())
2022-11-23T01:30:19.5915053Z del async_compile
2022-11-23T01:30:19.5915058Z 
2022-11-23T01:30:19.5915115Z def call(args):
2022-11-23T01:30:19.5915231Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5915300Z     args.clear()
2022-11-23T01:30:19.5915432Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.5915541Z     assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1))
2022-11-23T01:30:19.5915607Z     del arg0_1
2022-11-23T01:30:19.5915672Z     del arg1_1
2022-11-23T01:30:19.5915725Z     del arg7_1
2022-11-23T01:30:19.5915795Z     return (buf0, )
2022-11-23T01:30:19.5915802Z 
2022-11-23T01:30:19.5915806Z 
2022-11-23T01:30:19.5915880Z if __name__ == "__main__":
2022-11-23T01:30:19.5915989Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5916111Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5916321Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5916510Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5916697Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5916872Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5917055Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5917237Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5917413Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5917635Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5917818Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5917823Z 
2022-11-23T01:30:19.5918191Z [2022-11-23 01:23:13,531] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm7twkgvwcern6267lpmeqdepccogokskufjadtxlimch2pd2xza.py
2022-11-23T01:30:19.5918453Z [2022-11-23 01:23:13,531] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 89
2022-11-23T01:30:19.5918687Z [2022-11-23 01:23:13,544] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5919000Z [2022-11-23 01:23:13,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5919203Z [2022-11-23 01:23:13,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5919479Z [2022-11-23 01:23:13,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5919745Z [2022-11-23 01:23:13,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5920055Z [2022-11-23 01:23:13,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5920388Z [2022-11-23 01:23:13,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5920696Z [2022-11-23 01:23:13,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5920939Z [2022-11-23 01:23:13,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5921171Z [2022-11-23 01:23:13,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5921423Z [2022-11-23 01:23:13,560] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5921670Z [2022-11-23 01:23:13,577] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5921845Z [2022-11-23 01:23:13,577] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5921977Z  __compiled_fn_91 <eval_with_key>.735 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5922066Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5922163Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5922259Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5922264Z 
2022-11-23T01:30:19.5922585Z [2022-11-23 01:23:13,578] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5922678Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5922767Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5922841Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5922932Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5923016Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5923102Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5923180Z              12 RETURN_VALUE
2022-11-23T01:30:19.5923185Z 
2022-11-23T01:30:19.5923243Z  
2022-11-23T01:30:19.5923561Z [2022-11-23 01:23:13,578] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5923656Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_91)
2022-11-23T01:30:19.5923744Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5923831Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5923909Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5923993Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5924080Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5924182Z              12 RETURN_VALUE
2022-11-23T01:30:19.5924188Z 
2022-11-23T01:30:19.5924246Z  
2022-11-23T01:30:19.5924416Z [2022-11-23 01:23:13,579] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5924484Z  - 
2022-11-23T01:30:19.5924603Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5924664Z             {
2022-11-23T01:30:19.5924801Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5924985Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5925102Z                 'obj_weakref': None
2022-11-23T01:30:19.5925313Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5925376Z             }
2022-11-23T01:30:19.5925438Z             
2022-11-23T01:30:19.5925535Z  - 
2022-11-23T01:30:19.5925657Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5925718Z             {
2022-11-23T01:30:19.5925846Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5925952Z                 'code': None,
2022-11-23T01:30:19.5926162Z                 'obj_weakref': <weakref at 0x7ff5a8079a30; to 'Tensor' at 0x7ff5a807b100>
2022-11-23T01:30:19.5926414Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5926477Z             }
2022-11-23T01:30:19.5926543Z             
2022-11-23T01:30:19.5926612Z  - 
2022-11-23T01:30:19.5926717Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5926778Z             {
2022-11-23T01:30:19.5926910Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5927077Z                 'code': ['___check_obj_id(model, 140693070128672)'],
2022-11-23T01:30:19.5927297Z                 'obj_weakref': <weakref at 0x7ff5a86e1ad0; to 'Sequential' at 0x7ff5a877a620>
2022-11-23T01:30:19.5927530Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5927592Z             }
2022-11-23T01:30:19.5927655Z             
2022-11-23T01:30:19.5927710Z  - 
2022-11-23T01:30:19.5927830Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5927892Z             {
2022-11-23T01:30:19.5928024Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5928238Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5928355Z                 'obj_weakref': None
2022-11-23T01:30:19.5928575Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5928625Z             }
2022-11-23T01:30:19.5928686Z             
2022-11-23T01:30:19.5928754Z  - 
2022-11-23T01:30:19.5928898Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5928959Z             {
2022-11-23T01:30:19.5929077Z                 'guard_types': None,
2022-11-23T01:30:19.5929184Z                 'code': None,
2022-11-23T01:30:19.5929287Z                 'obj_weakref': None
2022-11-23T01:30:19.5929407Z                 'guarded_class': None
2022-11-23T01:30:19.5929469Z             }
2022-11-23T01:30:19.5929531Z             
2022-11-23T01:30:19.5929598Z  - 
2022-11-23T01:30:19.5929739Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5929789Z             {
2022-11-23T01:30:19.5929905Z                 'guard_types': None,
2022-11-23T01:30:19.5930009Z                 'code': None,
2022-11-23T01:30:19.5930122Z                 'obj_weakref': None
2022-11-23T01:30:19.5930241Z                 'guarded_class': None
2022-11-23T01:30:19.5930302Z             }
2022-11-23T01:30:19.5930362Z             
2022-11-23T01:30:19.5930609Z [2022-11-23 01:23:13,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 90
2022-11-23T01:30:19.5930974Z [2022-11-23 01:23:13,593] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyq2a3jz6qrsoqaxohd2lqiyihb2bppaqnwzzyqz5vlunxalcepq.py
2022-11-23T01:30:19.5931262Z [2022-11-23 01:23:13,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 90
2022-11-23T01:30:19.5931498Z [2022-11-23 01:23:13,618] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5931809Z [2022-11-23 01:23:13,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5932024Z [2022-11-23 01:23:13,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5932264Z [2022-11-23 01:23:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5932528Z [2022-11-23 01:23:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5932867Z [2022-11-23 01:23:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5933200Z [2022-11-23 01:23:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5933496Z [2022-11-23 01:23:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5933738Z [2022-11-23 01:23:13,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5933967Z [2022-11-23 01:23:13,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5934217Z [2022-11-23 01:23:13,634] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5934463Z [2022-11-23 01:23:13,650] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5934650Z [2022-11-23 01:23:13,650] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5934783Z  __compiled_fn_92 <eval_with_key>.746 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5934869Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5934954Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5935050Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5935056Z 
2022-11-23T01:30:19.5935374Z [2022-11-23 01:23:13,651] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5935464Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5935553Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5935637Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5935727Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5935811Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5935888Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5935962Z              12 RETURN_VALUE
2022-11-23T01:30:19.5935967Z 
2022-11-23T01:30:19.5936028Z  
2022-11-23T01:30:19.5936347Z [2022-11-23 01:23:13,651] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5936596Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_92)
2022-11-23T01:30:19.5936687Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5936775Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5936851Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5936925Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5937014Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5937088Z              12 RETURN_VALUE
2022-11-23T01:30:19.5937093Z 
2022-11-23T01:30:19.5937152Z  
2022-11-23T01:30:19.5937333Z [2022-11-23 01:23:13,652] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5937404Z  - 
2022-11-23T01:30:19.5937522Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5937574Z             {
2022-11-23T01:30:19.5937784Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5937970Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5938087Z                 'obj_weakref': None
2022-11-23T01:30:19.5938311Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5938374Z             }
2022-11-23T01:30:19.5938437Z             
2022-11-23T01:30:19.5938492Z  - 
2022-11-23T01:30:19.5938614Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5938676Z             {
2022-11-23T01:30:19.5938816Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5938921Z                 'code': None,
2022-11-23T01:30:19.5939133Z                 'obj_weakref': <weakref at 0x7ff5a8541fd0; to 'Tensor' at 0x7ff5a8233f10>
2022-11-23T01:30:19.5939421Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5939475Z             }
2022-11-23T01:30:19.5939536Z             
2022-11-23T01:30:19.5939603Z  - 
2022-11-23T01:30:19.5939720Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5939781Z             {
2022-11-23T01:30:19.5939912Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5940080Z                 'code': ['___check_obj_id(model, 140693070128672)'],
2022-11-23T01:30:19.5940288Z                 'obj_weakref': <weakref at 0x7ff5a86e1ad0; to 'Sequential' at 0x7ff5a877a620>
2022-11-23T01:30:19.5940520Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5940581Z             }
2022-11-23T01:30:19.5940642Z             
2022-11-23T01:30:19.5940712Z  - 
2022-11-23T01:30:19.5940831Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5940894Z             {
2022-11-23T01:30:19.5941018Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5941235Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5941352Z                 'obj_weakref': None
2022-11-23T01:30:19.5941573Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5941634Z             }
2022-11-23T01:30:19.5941695Z             
2022-11-23T01:30:19.5941761Z  - 
2022-11-23T01:30:19.5941892Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5941952Z             {
2022-11-23T01:30:19.5942069Z                 'guard_types': None,
2022-11-23T01:30:19.5942173Z                 'code': None,
2022-11-23T01:30:19.5942288Z                 'obj_weakref': None
2022-11-23T01:30:19.5942405Z                 'guarded_class': None
2022-11-23T01:30:19.5942466Z             }
2022-11-23T01:30:19.5942515Z             
2022-11-23T01:30:19.5942583Z  - 
2022-11-23T01:30:19.5942723Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5942785Z             {
2022-11-23T01:30:19.5942901Z                 'guard_types': None,
2022-11-23T01:30:19.5943005Z                 'code': None,
2022-11-23T01:30:19.5943121Z                 'obj_weakref': None
2022-11-23T01:30:19.5943227Z                 'guarded_class': None
2022-11-23T01:30:19.5943286Z             }
2022-11-23T01:30:19.5943347Z             
2022-11-23T01:30:19.5943603Z [2022-11-23 01:23:13,661] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 91
2022-11-23T01:30:19.5943969Z [2022-11-23 01:23:15,105] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dm/cdmsqhbjm4su75pxsaybvry37ojfvoe3os3ye7j2skwrk2wc5nrs.py
2022-11-23T01:30:19.5944227Z [2022-11-23 01:23:15,105] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 91
2022-11-23T01:30:19.5944461Z [2022-11-23 01:23:15,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5944802Z [2022-11-23 01:23:15,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5945005Z [2022-11-23 01:23:15,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5945243Z [2022-11-23 01:23:15,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5945507Z [2022-11-23 01:23:15,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5945815Z [2022-11-23 01:23:15,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5946150Z [2022-11-23 01:23:15,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5946486Z [2022-11-23 01:23:15,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5946731Z [2022-11-23 01:23:15,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5946962Z [2022-11-23 01:23:15,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5947212Z [2022-11-23 01:23:15,143] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5947457Z [2022-11-23 01:23:15,158] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5947631Z [2022-11-23 01:23:15,159] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5947765Z  __compiled_fn_93 <eval_with_key>.757 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5947853Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5947951Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5948048Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5948053Z 
2022-11-23T01:30:19.5948375Z [2022-11-23 01:23:15,159] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5948466Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5948554Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5948628Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5948718Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5948801Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5948887Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5948962Z              12 RETURN_VALUE
2022-11-23T01:30:19.5948967Z 
2022-11-23T01:30:19.5949026Z  
2022-11-23T01:30:19.5949342Z [2022-11-23 01:23:15,159] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5949438Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_93)
2022-11-23T01:30:19.5949527Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5949613Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5949689Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5949773Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5949860Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5949933Z              12 RETURN_VALUE
2022-11-23T01:30:19.5949938Z 
2022-11-23T01:30:19.5949997Z  
2022-11-23T01:30:19.5950167Z [2022-11-23 01:23:15,160] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5950234Z  - 
2022-11-23T01:30:19.5950351Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5950414Z             {
2022-11-23T01:30:19.5950551Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5950735Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5950854Z                 'obj_weakref': None
2022-11-23T01:30:19.5951092Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5951156Z             }
2022-11-23T01:30:19.5951222Z             
2022-11-23T01:30:19.5951289Z  - 
2022-11-23T01:30:19.5951411Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5951473Z             {
2022-11-23T01:30:19.5951613Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5951706Z                 'code': None,
2022-11-23T01:30:19.5951917Z                 'obj_weakref': <weakref at 0x7ff5a8230c70; to 'Tensor' at 0x7ff5a97cdb70>
2022-11-23T01:30:19.5952167Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5952230Z             }
2022-11-23T01:30:19.5952292Z             
2022-11-23T01:30:19.5952358Z  - 
2022-11-23T01:30:19.5952475Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5952554Z             {
2022-11-23T01:30:19.5952687Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5952856Z                 'code': ['___check_obj_id(model, 140693065411232)'],
2022-11-23T01:30:19.5953073Z                 'obj_weakref': <weakref at 0x7ff5a86c44a0; to 'Sequential' at 0x7ff5a82faaa0>
2022-11-23T01:30:19.5953305Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5953366Z             }
2022-11-23T01:30:19.5953427Z             
2022-11-23T01:30:19.5953483Z  - 
2022-11-23T01:30:19.5953601Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5953663Z             {
2022-11-23T01:30:19.5953879Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5954098Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5954215Z                 'obj_weakref': None
2022-11-23T01:30:19.5954433Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5954485Z             }
2022-11-23T01:30:19.5954547Z             
2022-11-23T01:30:19.5954614Z  - 
2022-11-23T01:30:19.5954759Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5954822Z             {
2022-11-23T01:30:19.5954939Z                 'guard_types': None,
2022-11-23T01:30:19.5955044Z                 'code': None,
2022-11-23T01:30:19.5955147Z                 'obj_weakref': None
2022-11-23T01:30:19.5955265Z                 'guarded_class': None
2022-11-23T01:30:19.5955331Z             }
2022-11-23T01:30:19.5955392Z             
2022-11-23T01:30:19.5955458Z  - 
2022-11-23T01:30:19.5955599Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5955649Z             {
2022-11-23T01:30:19.5955766Z                 'guard_types': None,
2022-11-23T01:30:19.5955868Z                 'code': None,
2022-11-23T01:30:19.5955983Z                 'obj_weakref': None
2022-11-23T01:30:19.5956103Z                 'guarded_class': None
2022-11-23T01:30:19.5956164Z             }
2022-11-23T01:30:19.5956225Z             
2022-11-23T01:30:19.5956472Z [2022-11-23 01:23:15,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 92
2022-11-23T01:30:19.5956490Z 
2022-11-23T01:30:19.5956570Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5956636Z import torch
2022-11-23T01:30:19.5956703Z import random
2022-11-23T01:30:19.5956815Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5956934Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5956939Z 
2022-11-23T01:30:19.5957014Z aten = torch.ops.aten
2022-11-23T01:30:19.5957144Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5957222Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5957227Z 
2022-11-23T01:30:19.5957232Z 
2022-11-23T01:30:19.5957362Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5957564Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5957685Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5957817Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.5957877Z {
2022-11-23T01:30:19.5957973Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5958022Z     {
2022-11-23T01:30:19.5958096Z         #pragma omp for 
2022-11-23T01:30:19.5958176Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.5958237Z         {
2022-11-23T01:30:19.5958314Z             #pragma GCC ivdep
2022-11-23T01:30:19.5958395Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.5958456Z             {
2022-11-23T01:30:19.5958526Z                 #pragma GCC ivdep
2022-11-23T01:30:19.5958611Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:30:19.5958673Z                 {
2022-11-23T01:30:19.5958739Z                     {
2022-11-23T01:30:19.5958805Z                         {
2022-11-23T01:30:19.5958942Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:30:19.5959044Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:30:19.5959102Z                         }
2022-11-23T01:30:19.5959167Z                     }
2022-11-23T01:30:19.5959230Z                 }
2022-11-23T01:30:19.5959291Z             }
2022-11-23T01:30:19.5959352Z         }
2022-11-23T01:30:19.5959410Z     }
2022-11-23T01:30:19.5959467Z }
2022-11-23T01:30:19.5959532Z ''')
2022-11-23T01:30:19.5959537Z 
2022-11-23T01:30:19.5959542Z 
2022-11-23T01:30:19.5959629Z async_compile.wait(globals())
2022-11-23T01:30:19.5959699Z del async_compile
2022-11-23T01:30:19.5959704Z 
2022-11-23T01:30:19.5959772Z def call(args):
2022-11-23T01:30:19.5959890Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5959960Z     args.clear()
2022-11-23T01:30:19.5960168Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5960289Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.5960358Z     del arg0_1
2022-11-23T01:30:19.5960490Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.5960597Z     assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32))
2022-11-23T01:30:19.5960663Z     del arg1_1
2022-11-23T01:30:19.5960727Z     del arg7_1
2022-11-23T01:30:19.5960795Z     return (buf1, )
2022-11-23T01:30:19.5960800Z 
2022-11-23T01:30:19.5960805Z 
2022-11-23T01:30:19.5960878Z if __name__ == "__main__":
2022-11-23T01:30:19.5960980Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5961099Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5961307Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5961497Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5961687Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5961869Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5962056Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5962236Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5962402Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5962617Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5962770Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5962775Z 
2022-11-23T01:30:19.5962779Z 
2022-11-23T01:30:19.5962871Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5962939Z import torch
2022-11-23T01:30:19.5963007Z import random
2022-11-23T01:30:19.5963119Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5963239Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5963243Z 
2022-11-23T01:30:19.5963308Z aten = torch.ops.aten
2022-11-23T01:30:19.5963465Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5963558Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5963562Z 
2022-11-23T01:30:19.5963567Z 
2022-11-23T01:30:19.5963653Z async_compile.wait(globals())
2022-11-23T01:30:19.5963724Z del async_compile
2022-11-23T01:30:19.5963728Z 
2022-11-23T01:30:19.5963796Z def call(args):
2022-11-23T01:30:19.5963914Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5963984Z     args.clear()
2022-11-23T01:30:19.5964104Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:30:19.5964216Z     assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1))
2022-11-23T01:30:19.5964282Z     del arg0_1
2022-11-23T01:30:19.5964376Z     del arg1_1
2022-11-23T01:30:19.5964440Z     del arg7_1
2022-11-23T01:30:19.5964509Z     return (buf0, )
2022-11-23T01:30:19.5964513Z 
2022-11-23T01:30:19.5964517Z 
2022-11-23T01:30:19.5964592Z if __name__ == "__main__":
2022-11-23T01:30:19.5964692Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5964812Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5965021Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5965214Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5965405Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5965592Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5965776Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5965958Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5966125Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5966349Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5966500Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5966505Z 
2022-11-23T01:30:19.5966510Z 
2022-11-23T01:30:19.5966602Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.5966671Z import torch
2022-11-23T01:30:19.5966739Z import random
2022-11-23T01:30:19.5966852Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.5966970Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.5966974Z 
2022-11-23T01:30:19.5967051Z aten = torch.ops.aten
2022-11-23T01:30:19.5967172Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.5967260Z async_compile = AsyncCompile()
2022-11-23T01:30:19.5967265Z 
2022-11-23T01:30:19.5967271Z 
2022-11-23T01:30:19.5967403Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.5967612Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.5967732Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.5967830Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.5967889Z {
2022-11-23T01:30:19.5967974Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.5968033Z     {
2022-11-23T01:30:19.5968109Z         #pragma omp for 
2022-11-23T01:30:19.5968191Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.5968252Z         {
2022-11-23T01:30:19.5968331Z             #pragma GCC ivdep
2022-11-23T01:30:19.5968411Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.5968462Z             {
2022-11-23T01:30:19.5968541Z                 #pragma GCC ivdep
2022-11-23T01:30:19.5968628Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:30:19.5968694Z                 {
2022-11-23T01:30:19.5968761Z                     {
2022-11-23T01:30:19.5968828Z                         {
2022-11-23T01:30:19.5968963Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:30:19.5969055Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:30:19.5969121Z                         }
2022-11-23T01:30:19.5969185Z                     }
2022-11-23T01:30:19.5969247Z                 }
2022-11-23T01:30:19.5969307Z             }
2022-11-23T01:30:19.5969366Z         }
2022-11-23T01:30:19.5969425Z     }
2022-11-23T01:30:19.5969473Z }
2022-11-23T01:30:19.5969549Z ''')
2022-11-23T01:30:19.5969554Z 
2022-11-23T01:30:19.5969559Z 
2022-11-23T01:30:19.5969646Z async_compile.wait(globals())
2022-11-23T01:30:19.5969716Z del async_compile
2022-11-23T01:30:19.5969720Z 
2022-11-23T01:30:19.5969789Z def call(args):
2022-11-23T01:30:19.5969904Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.5969973Z     args.clear()
2022-11-23T01:30:19.5970195Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5970327Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.5970393Z     del arg0_1
2022-11-23T01:30:19.5970523Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:30:19.5970632Z     assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2022-11-23T01:30:19.5970698Z     del arg1_1
2022-11-23T01:30:19.5970763Z     del arg7_1
2022-11-23T01:30:19.5970820Z     return (buf1, )
2022-11-23T01:30:19.5970835Z 
2022-11-23T01:30:19.5970839Z 
2022-11-23T01:30:19.5970901Z if __name__ == "__main__":
2022-11-23T01:30:19.5971012Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.5971131Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.5971345Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5971540Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5971733Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5971920Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5972103Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5972275Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5972450Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.5972674Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.5972827Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.5972832Z 
2022-11-23T01:30:19.5973198Z [2022-11-23 01:23:15,174] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpofneny2ajd45ioooxtnvui67q6i5li2x7zvcb7t5jcd6wj47fn.py
2022-11-23T01:30:19.5973470Z [2022-11-23 01:23:15,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 92
2022-11-23T01:30:19.5973706Z [2022-11-23 01:23:15,183] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5974020Z [2022-11-23 01:23:15,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5974233Z [2022-11-23 01:23:15,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5974459Z [2022-11-23 01:23:15,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5974724Z [2022-11-23 01:23:15,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5975031Z [2022-11-23 01:23:15,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5975393Z [2022-11-23 01:23:15,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5975702Z [2022-11-23 01:23:15,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5975943Z [2022-11-23 01:23:15,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5976173Z [2022-11-23 01:23:15,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5976553Z [2022-11-23 01:23:15,198] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5976801Z [2022-11-23 01:23:15,214] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5977033Z [2022-11-23 01:23:15,214] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5977157Z  __compiled_fn_94 <eval_with_key>.768 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5977245Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5977342Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5977439Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5977444Z 
2022-11-23T01:30:19.5977765Z [2022-11-23 01:23:15,215] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5977856Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5977944Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5978029Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5978109Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5978192Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5978281Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5978356Z              12 RETURN_VALUE
2022-11-23T01:30:19.5978361Z 
2022-11-23T01:30:19.5978420Z  
2022-11-23T01:30:19.5978742Z [2022-11-23 01:23:15,215] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5978848Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_94)
2022-11-23T01:30:19.5978925Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5979013Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5979087Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5979173Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5979260Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5979333Z              12 RETURN_VALUE
2022-11-23T01:30:19.5979337Z 
2022-11-23T01:30:19.5979396Z  
2022-11-23T01:30:19.5979577Z [2022-11-23 01:23:15,215] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5979636Z  - 
2022-11-23T01:30:19.5979753Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5979816Z             {
2022-11-23T01:30:19.5979957Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5980140Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5980257Z                 'obj_weakref': None
2022-11-23T01:30:19.5980480Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5980532Z             }
2022-11-23T01:30:19.5980593Z             
2022-11-23T01:30:19.5980661Z  - 
2022-11-23T01:30:19.5980782Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5980843Z             {
2022-11-23T01:30:19.5980983Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5981076Z                 'code': None,
2022-11-23T01:30:19.5981285Z                 'obj_weakref': <weakref at 0x7ff5a80a1a30; to 'Tensor' at 0x7ff59c0c4590>
2022-11-23T01:30:19.5981538Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5981604Z             }
2022-11-23T01:30:19.5981748Z             
2022-11-23T01:30:19.5981818Z  - 
2022-11-23T01:30:19.5981936Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5982000Z             {
2022-11-23T01:30:19.5982122Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5982288Z                 'code': ['___check_obj_id(model, 140693065411232)'],
2022-11-23T01:30:19.5982506Z                 'obj_weakref': <weakref at 0x7ff5a86c44a0; to 'Sequential' at 0x7ff5a82faaa0>
2022-11-23T01:30:19.5982740Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5982806Z             }
2022-11-23T01:30:19.5982867Z             
2022-11-23T01:30:19.5982933Z  - 
2022-11-23T01:30:19.5983041Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5983102Z             {
2022-11-23T01:30:19.5983264Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5983479Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5983597Z                 'obj_weakref': None
2022-11-23T01:30:19.5983816Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5983878Z             }
2022-11-23T01:30:19.5983928Z             
2022-11-23T01:30:19.5983997Z  - 
2022-11-23T01:30:19.5984140Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5984201Z             {
2022-11-23T01:30:19.5984318Z                 'guard_types': None,
2022-11-23T01:30:19.5984425Z                 'code': None,
2022-11-23T01:30:19.5984540Z                 'obj_weakref': None
2022-11-23T01:30:19.5984648Z                 'guarded_class': None
2022-11-23T01:30:19.5984708Z             }
2022-11-23T01:30:19.5984769Z             
2022-11-23T01:30:19.5984836Z  - 
2022-11-23T01:30:19.5984980Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5985041Z             {
2022-11-23T01:30:19.5985147Z                 'guard_types': None,
2022-11-23T01:30:19.5985251Z                 'code': None,
2022-11-23T01:30:19.5985366Z                 'obj_weakref': None
2022-11-23T01:30:19.5985485Z                 'guarded_class': None
2022-11-23T01:30:19.5985545Z             }
2022-11-23T01:30:19.5985605Z             
2022-11-23T01:30:19.5985862Z [2022-11-23 01:23:15,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 93
2022-11-23T01:30:19.5986216Z [2022-11-23 01:23:15,238] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuipih7pf3lvp3pbk4g5kigatr5l2wfnrs233pvvjgwj6vzz6kni.py
2022-11-23T01:30:19.5986474Z [2022-11-23 01:23:15,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 93
2022-11-23T01:30:19.5986708Z [2022-11-23 01:23:15,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5987030Z [2022-11-23 01:23:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.5987246Z [2022-11-23 01:23:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.5987486Z [2022-11-23 01:23:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.5987751Z [2022-11-23 01:23:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.5988057Z [2022-11-23 01:23:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5988389Z [2022-11-23 01:23:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5988699Z [2022-11-23 01:23:15,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.5988963Z [2022-11-23 01:23:15,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.5989195Z [2022-11-23 01:23:15,264] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.5989445Z [2022-11-23 01:23:15,265] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.5989689Z [2022-11-23 01:23:15,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.5989874Z [2022-11-23 01:23:15,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.5990006Z  __compiled_fn_95 <eval_with_key>.779 opcode, name, target, args, kwargs
2022-11-23T01:30:19.5990094Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.5990190Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.5990314Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.5990319Z 
2022-11-23T01:30:19.5990630Z [2022-11-23 01:23:15,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5990721Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.5990809Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5990891Z               4 BUILD_MAP                0
2022-11-23T01:30:19.5990981Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.5991063Z               8 DICT_MERGE               1
2022-11-23T01:30:19.5991147Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.5991210Z              12 RETURN_VALUE
2022-11-23T01:30:19.5991226Z 
2022-11-23T01:30:19.5991274Z  
2022-11-23T01:30:19.5991591Z [2022-11-23 01:23:15,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.5991700Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_95)
2022-11-23T01:30:19.5991788Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.5991876Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.5991950Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.5992037Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.5992114Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.5992187Z              12 RETURN_VALUE
2022-11-23T01:30:19.5992193Z 
2022-11-23T01:30:19.5992251Z  
2022-11-23T01:30:19.5992431Z [2022-11-23 01:23:15,284] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.5992499Z  - 
2022-11-23T01:30:19.5992616Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.5992679Z             {
2022-11-23T01:30:19.5992806Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.5992989Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.5993108Z                 'obj_weakref': None
2022-11-23T01:30:19.5993327Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.5993392Z             }
2022-11-23T01:30:19.5993454Z             
2022-11-23T01:30:19.5993521Z  - 
2022-11-23T01:30:19.5993631Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.5993693Z             {
2022-11-23T01:30:19.5993900Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.5994013Z                 'code': None,
2022-11-23T01:30:19.5994226Z                 'obj_weakref': <weakref at 0x7ff58ff01fd0; to 'Tensor' at 0x7ff5a98dff60>
2022-11-23T01:30:19.5994478Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.5994542Z             }
2022-11-23T01:30:19.5994591Z             
2022-11-23T01:30:19.5994658Z  - 
2022-11-23T01:30:19.5994776Z             local 'model' NN_MODULE
2022-11-23T01:30:19.5994840Z             {
2022-11-23T01:30:19.5994972Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.5995136Z                 'code': ['___check_obj_id(model, 140692862116112)'],
2022-11-23T01:30:19.5995389Z                 'obj_weakref': <weakref at 0x7ff5a87f27f0; to 'Sequential' at 0x7ff59c11a110>
2022-11-23T01:30:19.5995613Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.5995675Z             }
2022-11-23T01:30:19.5995735Z             
2022-11-23T01:30:19.5995802Z  - 
2022-11-23T01:30:19.5995922Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.5995983Z             {
2022-11-23T01:30:19.5996116Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.5996318Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.5996434Z                 'obj_weakref': None
2022-11-23T01:30:19.5996652Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.5996750Z             }
2022-11-23T01:30:19.5996812Z             
2022-11-23T01:30:19.5996879Z  - 
2022-11-23T01:30:19.5997025Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.5997075Z             {
2022-11-23T01:30:19.5997191Z                 'guard_types': None,
2022-11-23T01:30:19.5997295Z                 'code': None,
2022-11-23T01:30:19.5997411Z                 'obj_weakref': None
2022-11-23T01:30:19.5997527Z                 'guarded_class': None
2022-11-23T01:30:19.5997589Z             }
2022-11-23T01:30:19.5997649Z             
2022-11-23T01:30:19.5997704Z  - 
2022-11-23T01:30:19.5997845Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.5997905Z             {
2022-11-23T01:30:19.5998022Z                 'guard_types': None,
2022-11-23T01:30:19.5998125Z                 'code': None,
2022-11-23T01:30:19.5998240Z                 'obj_weakref': None
2022-11-23T01:30:19.5998357Z                 'guarded_class': None
2022-11-23T01:30:19.5998408Z             }
2022-11-23T01:30:19.5998469Z             
2022-11-23T01:30:19.5998729Z [2022-11-23 01:23:15,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 94
2022-11-23T01:30:19.5999091Z [2022-11-23 01:23:15,298] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxec6yir6b6x6lsmc4vmbpkgi5lynb4y3cbnvny5x3v6ltg4pidv.py
2022-11-23T01:30:19.5999350Z [2022-11-23 01:23:15,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 94
2022-11-23T01:30:19.5999584Z [2022-11-23 01:23:15,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.5999898Z [2022-11-23 01:23:15,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6000114Z [2022-11-23 01:23:15,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6000342Z [2022-11-23 01:23:15,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6000610Z [2022-11-23 01:23:15,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6000915Z [2022-11-23 01:23:15,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6001252Z [2022-11-23 01:23:15,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6001561Z [2022-11-23 01:23:15,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6001801Z [2022-11-23 01:23:15,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6002031Z [2022-11-23 01:23:15,338] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6002283Z [2022-11-23 01:23:15,339] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6002556Z [2022-11-23 01:23:15,354] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6002741Z [2022-11-23 01:23:15,355] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6002862Z  __compiled_fn_96 <eval_with_key>.790 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6002948Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6003046Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6003143Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6003149Z 
2022-11-23T01:30:19.6003467Z [2022-11-23 01:23:15,355] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6003558Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6003675Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6003759Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6003841Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6003925Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6004011Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6004085Z              12 RETURN_VALUE
2022-11-23T01:30:19.6004090Z 
2022-11-23T01:30:19.6004148Z  
2022-11-23T01:30:19.6004461Z [2022-11-23 01:23:15,355] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6004566Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_96)
2022-11-23T01:30:19.6004653Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6004727Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6004802Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6004889Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6004978Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6005050Z              12 RETURN_VALUE
2022-11-23T01:30:19.6005056Z 
2022-11-23T01:30:19.6005115Z  
2022-11-23T01:30:19.6005295Z [2022-11-23 01:23:15,356] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6005352Z  - 
2022-11-23T01:30:19.6005468Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6005530Z             {
2022-11-23T01:30:19.6005670Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6005853Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6005970Z                 'obj_weakref': None
2022-11-23T01:30:19.6006192Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6006243Z             }
2022-11-23T01:30:19.6006305Z             
2022-11-23T01:30:19.6006371Z  - 
2022-11-23T01:30:19.6006491Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6006555Z             {
2022-11-23T01:30:19.6006694Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6006798Z                 'code': None,
2022-11-23T01:30:19.6006995Z                 'obj_weakref': <weakref at 0x7ff59c044950; to 'Tensor' at 0x7ff5a87a0ae0>
2022-11-23T01:30:19.6007244Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6007307Z             }
2022-11-23T01:30:19.6007369Z             
2022-11-23T01:30:19.6007436Z  - 
2022-11-23T01:30:19.6007555Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6007616Z             {
2022-11-23T01:30:19.6007736Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6007901Z                 'code': ['___check_obj_id(model, 140692862116112)'],
2022-11-23T01:30:19.6008118Z                 'obj_weakref': <weakref at 0x7ff5a87f27f0; to 'Sequential' at 0x7ff59c11a110>
2022-11-23T01:30:19.6008352Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6008414Z             }
2022-11-23T01:30:19.6008475Z             
2022-11-23T01:30:19.6008571Z  - 
2022-11-23T01:30:19.6008681Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6008743Z             {
2022-11-23T01:30:19.6008876Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6009090Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6009206Z                 'obj_weakref': None
2022-11-23T01:30:19.6009424Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6009485Z             }
2022-11-23T01:30:19.6009535Z             
2022-11-23T01:30:19.6009601Z  - 
2022-11-23T01:30:19.6009744Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6009804Z             {
2022-11-23T01:30:19.6009920Z                 'guard_types': None,
2022-11-23T01:30:19.6010055Z                 'code': None,
2022-11-23T01:30:19.6010169Z                 'obj_weakref': None
2022-11-23T01:30:19.6010276Z                 'guarded_class': None
2022-11-23T01:30:19.6010339Z             }
2022-11-23T01:30:19.6010399Z             
2022-11-23T01:30:19.6010466Z  - 
2022-11-23T01:30:19.6010607Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6010668Z             {
2022-11-23T01:30:19.6010773Z                 'guard_types': None,
2022-11-23T01:30:19.6010873Z                 'code': None,
2022-11-23T01:30:19.6010987Z                 'obj_weakref': None
2022-11-23T01:30:19.6011106Z                 'guarded_class': None
2022-11-23T01:30:19.6011167Z             }
2022-11-23T01:30:19.6011226Z             
2022-11-23T01:30:19.6011482Z [2022-11-23 01:23:15,365] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 95
2022-11-23T01:30:19.6011487Z 
2022-11-23T01:30:19.6011579Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6011637Z import torch
2022-11-23T01:30:19.6011705Z import random
2022-11-23T01:30:19.6011822Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6011943Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6011948Z 
2022-11-23T01:30:19.6012024Z aten = torch.ops.aten
2022-11-23T01:30:19.6012155Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6012245Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6012251Z 
2022-11-23T01:30:19.6012255Z 
2022-11-23T01:30:19.6012330Z async_compile.wait(globals())
2022-11-23T01:30:19.6012402Z del async_compile
2022-11-23T01:30:19.6012408Z 
2022-11-23T01:30:19.6012476Z def call(args):
2022-11-23T01:30:19.6012594Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6012663Z     args.clear()
2022-11-23T01:30:19.6012794Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:30:19.6012902Z     assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1))
2022-11-23T01:30:19.6012970Z     del arg0_1
2022-11-23T01:30:19.6013024Z     del arg1_1
2022-11-23T01:30:19.6013087Z     del arg7_1
2022-11-23T01:30:19.6013158Z     return (buf0, )
2022-11-23T01:30:19.6013163Z 
2022-11-23T01:30:19.6013167Z 
2022-11-23T01:30:19.6013242Z if __name__ == "__main__":
2022-11-23T01:30:19.6013354Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6013474Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6013686Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6013866Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6014054Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6014237Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6014421Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6014606Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6014812Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6015035Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6015189Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6015195Z 
2022-11-23T01:30:19.6015199Z 
2022-11-23T01:30:19.6015291Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6015348Z import torch
2022-11-23T01:30:19.6015416Z import random
2022-11-23T01:30:19.6015528Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6015647Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6015652Z 
2022-11-23T01:30:19.6015728Z aten = torch.ops.aten
2022-11-23T01:30:19.6015860Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6015980Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6015986Z 
2022-11-23T01:30:19.6015989Z 
2022-11-23T01:30:19.6016121Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6016315Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6016550Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6016652Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6016714Z {
2022-11-23T01:30:19.6016804Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6024648Z     {
2022-11-23T01:30:19.6024753Z         #pragma omp for 
2022-11-23T01:30:19.6024842Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.6024909Z         {
2022-11-23T01:30:19.6024993Z             #pragma GCC ivdep
2022-11-23T01:30:19.6025079Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.6025131Z             {
2022-11-23T01:30:19.6025215Z                 #pragma GCC ivdep
2022-11-23T01:30:19.6025315Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:30:19.6025383Z                 {
2022-11-23T01:30:19.6025455Z                     {
2022-11-23T01:30:19.6025529Z                         {
2022-11-23T01:30:19.6025642Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:30:19.6025733Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:30:19.6025802Z                         }
2022-11-23T01:30:19.6025872Z                     }
2022-11-23T01:30:19.6025937Z                 }
2022-11-23T01:30:19.6026000Z             }
2022-11-23T01:30:19.6026063Z         }
2022-11-23T01:30:19.6026126Z     }
2022-11-23T01:30:19.6026173Z }
2022-11-23T01:30:19.6026289Z ''')
2022-11-23T01:30:19.6026294Z 
2022-11-23T01:30:19.6026299Z 
2022-11-23T01:30:19.6026393Z async_compile.wait(globals())
2022-11-23T01:30:19.6026467Z del async_compile
2022-11-23T01:30:19.6026472Z 
2022-11-23T01:30:19.6026542Z def call(args):
2022-11-23T01:30:19.6026668Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6026742Z     args.clear()
2022-11-23T01:30:19.6026952Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6027088Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6027159Z     del arg0_1
2022-11-23T01:30:19.6027295Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:30:19.6027406Z     assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32))
2022-11-23T01:30:19.6027473Z     del arg1_1
2022-11-23T01:30:19.6027542Z     del arg7_1
2022-11-23T01:30:19.6027600Z     return (buf1, )
2022-11-23T01:30:19.6027618Z 
2022-11-23T01:30:19.6027623Z 
2022-11-23T01:30:19.6027687Z if __name__ == "__main__":
2022-11-23T01:30:19.6027802Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6027928Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6028143Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6028448Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6028638Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6028824Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6028996Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6029182Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6029361Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6029581Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6029739Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6029784Z 
2022-11-23T01:30:19.6029788Z 
2022-11-23T01:30:19.6029883Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6029954Z import torch
2022-11-23T01:30:19.6030026Z import random
2022-11-23T01:30:19.6030144Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6030252Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6030257Z 
2022-11-23T01:30:19.6030335Z aten = torch.ops.aten
2022-11-23T01:30:19.6030470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6030563Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6030568Z 
2022-11-23T01:30:19.6030572Z 
2022-11-23T01:30:19.6030660Z async_compile.wait(globals())
2022-11-23T01:30:19.6030734Z del async_compile
2022-11-23T01:30:19.6030738Z 
2022-11-23T01:30:19.6030809Z def call(args):
2022-11-23T01:30:19.6030928Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6030986Z     args.clear()
2022-11-23T01:30:19.6031119Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:30:19.6031233Z     assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1))
2022-11-23T01:30:19.6031302Z     del arg0_1
2022-11-23T01:30:19.6031370Z     del arg1_1
2022-11-23T01:30:19.6031437Z     del arg7_1
2022-11-23T01:30:19.6031508Z     return (buf0, )
2022-11-23T01:30:19.6031513Z 
2022-11-23T01:30:19.6031517Z 
2022-11-23T01:30:19.6031578Z if __name__ == "__main__":
2022-11-23T01:30:19.6031692Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6031816Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6032027Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6032221Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6032413Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6032599Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6032790Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6032966Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6033146Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6033414Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6033631Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6033637Z 
2022-11-23T01:30:19.6034103Z [2022-11-23 01:23:15,376] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fr/cfr2e4xesehmsc6amykaufpyuhvaqrlddzrpe5vdgtbtpql62nfz.py
2022-11-23T01:30:19.6034372Z [2022-11-23 01:23:15,377] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 95
2022-11-23T01:30:19.6034618Z [2022-11-23 01:23:15,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6034995Z [2022-11-23 01:23:15,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6035231Z [2022-11-23 01:23:15,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6035492Z [2022-11-23 01:23:15,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6035764Z [2022-11-23 01:23:15,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6036069Z [2022-11-23 01:23:15,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6036411Z [2022-11-23 01:23:15,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6036757Z [2022-11-23 01:23:15,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6037004Z [2022-11-23 01:23:15,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6037239Z [2022-11-23 01:23:15,411] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6037493Z [2022-11-23 01:23:15,412] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6037739Z [2022-11-23 01:23:15,427] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6037929Z [2022-11-23 01:23:15,427] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6038063Z  __compiled_fn_97 <eval_with_key>.801 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6038158Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6038248Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6038349Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6038354Z 
2022-11-23T01:30:19.6038680Z [2022-11-23 01:23:15,428] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6038774Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6038866Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6038952Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6039044Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6039117Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6039207Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6039283Z              12 RETURN_VALUE
2022-11-23T01:30:19.6039288Z 
2022-11-23T01:30:19.6039351Z  
2022-11-23T01:30:19.6039675Z [2022-11-23 01:23:15,428] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6039786Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_97)
2022-11-23T01:30:19.6039881Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6039970Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6040036Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6040122Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6040212Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6040286Z              12 RETURN_VALUE
2022-11-23T01:30:19.6040291Z 
2022-11-23T01:30:19.6040353Z  
2022-11-23T01:30:19.6040537Z [2022-11-23 01:23:15,428] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6040606Z  - 
2022-11-23T01:30:19.6040713Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6040779Z             {
2022-11-23T01:30:19.6040919Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6041108Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6041231Z                 'obj_weakref': None
2022-11-23T01:30:19.6041485Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6041553Z             }
2022-11-23T01:30:19.6041604Z             
2022-11-23T01:30:19.6041677Z  - 
2022-11-23T01:30:19.6041802Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6041866Z             {
2022-11-23T01:30:19.6042008Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6042117Z                 'code': None,
2022-11-23T01:30:19.6042330Z                 'obj_weakref': <weakref at 0x7ff5a80a1ee0; to 'Tensor' at 0x7ff5a842abb0>
2022-11-23T01:30:19.6042572Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6042635Z             }
2022-11-23T01:30:19.6042699Z             
2022-11-23T01:30:19.6042769Z  - 
2022-11-23T01:30:19.6042920Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6042984Z             {
2022-11-23T01:30:19.6043121Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6043280Z                 'code': ['___check_obj_id(model, 140693069450736)'],
2022-11-23T01:30:19.6043499Z                 'obj_weakref': <weakref at 0x7ff5a8541030; to 'Sequential' at 0x7ff5a86d4df0>
2022-11-23T01:30:19.6043737Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6043801Z             }
2022-11-23T01:30:19.6043863Z             
2022-11-23T01:30:19.6043933Z  - 
2022-11-23T01:30:19.6044057Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6044108Z             {
2022-11-23T01:30:19.6044247Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6044466Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6044586Z                 'obj_weakref': None
2022-11-23T01:30:19.6044813Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6044879Z             }
2022-11-23T01:30:19.6044943Z             
2022-11-23T01:30:19.6045001Z  - 
2022-11-23T01:30:19.6045149Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6045214Z             {
2022-11-23T01:30:19.6045335Z                 'guard_types': None,
2022-11-23T01:30:19.6045442Z                 'code': None,
2022-11-23T01:30:19.6045558Z                 'obj_weakref': None
2022-11-23T01:30:19.6045680Z                 'guarded_class': None
2022-11-23T01:30:19.6045731Z             }
2022-11-23T01:30:19.6045794Z             
2022-11-23T01:30:19.6045865Z  - 
2022-11-23T01:30:19.6046014Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6046079Z             {
2022-11-23T01:30:19.6046199Z                 'guard_types': None,
2022-11-23T01:30:19.6046305Z                 'code': None,
2022-11-23T01:30:19.6046411Z                 'obj_weakref': None
2022-11-23T01:30:19.6046534Z                 'guarded_class': None
2022-11-23T01:30:19.6046598Z             }
2022-11-23T01:30:19.6046662Z             
2022-11-23T01:30:19.6046927Z [2022-11-23 01:23:15,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 96
2022-11-23T01:30:19.6047295Z [2022-11-23 01:23:15,442] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqyf3e42uy33krhq5tma6obphrb2bnewratrzle2id7k6lqwpxu.py
2022-11-23T01:30:19.6047560Z [2022-11-23 01:23:15,442] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 96
2022-11-23T01:30:19.6047800Z [2022-11-23 01:23:15,452] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6048102Z [2022-11-23 01:23:15,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6048323Z [2022-11-23 01:23:15,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6048572Z [2022-11-23 01:23:15,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6048873Z [2022-11-23 01:23:15,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6049189Z [2022-11-23 01:23:15,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6049528Z [2022-11-23 01:23:15,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6049842Z [2022-11-23 01:23:15,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6050089Z [2022-11-23 01:23:15,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6050350Z [2022-11-23 01:23:15,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6050604Z [2022-11-23 01:23:15,466] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6050840Z [2022-11-23 01:23:15,482] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6051030Z [2022-11-23 01:23:15,483] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6051163Z  __compiled_fn_98 <eval_with_key>.812 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6051251Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6051347Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6051445Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6051451Z 
2022-11-23T01:30:19.6051776Z [2022-11-23 01:23:15,483] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6051875Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6051952Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6052041Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6052132Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6052218Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6052308Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6052385Z              12 RETURN_VALUE
2022-11-23T01:30:19.6052391Z 
2022-11-23T01:30:19.6052454Z  
2022-11-23T01:30:19.6052763Z [2022-11-23 01:23:15,483] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6052870Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_98)
2022-11-23T01:30:19.6052962Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6053052Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6053132Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6053222Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6053311Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6053389Z              12 RETURN_VALUE
2022-11-23T01:30:19.6053393Z 
2022-11-23T01:30:19.6053441Z  
2022-11-23T01:30:19.6053622Z [2022-11-23 01:23:15,484] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6053694Z  - 
2022-11-23T01:30:19.6053814Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6053881Z             {
2022-11-23T01:30:19.6054021Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6054206Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6054312Z                 'obj_weakref': None
2022-11-23T01:30:19.6054538Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6054604Z             }
2022-11-23T01:30:19.6054667Z             
2022-11-23T01:30:19.6054739Z  - 
2022-11-23T01:30:19.6054866Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6054931Z             {
2022-11-23T01:30:19.6055087Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6055195Z                 'code': None,
2022-11-23T01:30:19.6055410Z                 'obj_weakref': <weakref at 0x7ff5a8072ac0; to 'Tensor' at 0x7ff59c046660>
2022-11-23T01:30:19.6055662Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6055726Z             }
2022-11-23T01:30:19.6055789Z             
2022-11-23T01:30:19.6055858Z  - 
2022-11-23T01:30:19.6055964Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6056028Z             {
2022-11-23T01:30:19.6056159Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6056328Z                 'code': ['___check_obj_id(model, 140693069450736)'],
2022-11-23T01:30:19.6056680Z                 'obj_weakref': <weakref at 0x7ff5a8541030; to 'Sequential' at 0x7ff5a86d4df0>
2022-11-23T01:30:19.6056966Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6057034Z             }
2022-11-23T01:30:19.6057086Z             
2022-11-23T01:30:19.6057159Z  - 
2022-11-23T01:30:19.6057284Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6057347Z             {
2022-11-23T01:30:19.6057484Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6057705Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6057823Z                 'obj_weakref': None
2022-11-23T01:30:19.6058032Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6058098Z             }
2022-11-23T01:30:19.6058161Z             
2022-11-23T01:30:19.6058228Z  - 
2022-11-23T01:30:19.6058371Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6058436Z             {
2022-11-23T01:30:19.6058554Z                 'guard_types': None,
2022-11-23T01:30:19.6058649Z                 'code': None,
2022-11-23T01:30:19.6058766Z                 'obj_weakref': None
2022-11-23T01:30:19.6058890Z                 'guarded_class': None
2022-11-23T01:30:19.6058955Z             }
2022-11-23T01:30:19.6059019Z             
2022-11-23T01:30:19.6059090Z  - 
2022-11-23T01:30:19.6059235Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6059285Z             {
2022-11-23T01:30:19.6059405Z                 'guard_types': None,
2022-11-23T01:30:19.6059511Z                 'code': None,
2022-11-23T01:30:19.6059628Z                 'obj_weakref': None
2022-11-23T01:30:19.6059748Z                 'guarded_class': None
2022-11-23T01:30:19.6059810Z             }
2022-11-23T01:30:19.6059861Z             
2022-11-23T01:30:19.6060121Z [2022-11-23 01:23:15,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 97
2022-11-23T01:30:19.6060497Z [2022-11-23 01:23:15,499] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5prxerzath5veg7zvjocivp2rmk5qlzyrvbpy3lfr2hcvfquhzd.py
2022-11-23T01:30:19.6060761Z [2022-11-23 01:23:15,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 97
2022-11-23T01:30:19.6061001Z [2022-11-23 01:23:15,517] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6061316Z [2022-11-23 01:23:15,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6061535Z [2022-11-23 01:23:15,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6061778Z [2022-11-23 01:23:15,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6062043Z [2022-11-23 01:23:15,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6062359Z [2022-11-23 01:23:15,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6062716Z [2022-11-23 01:23:15,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6063031Z [2022-11-23 01:23:15,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6063278Z [2022-11-23 01:23:15,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6063510Z [2022-11-23 01:23:15,540] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6063761Z [2022-11-23 01:23:15,542] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6064009Z [2022-11-23 01:23:15,571] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6064229Z [2022-11-23 01:23:15,571] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6064365Z  __compiled_fn_99 <eval_with_key>.823 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6064458Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6064543Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6064641Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6064647Z 
2022-11-23T01:30:19.6064972Z [2022-11-23 01:23:15,572] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6065065Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6065158Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6065245Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6065335Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6065423Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6065499Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6065576Z              12 RETURN_VALUE
2022-11-23T01:30:19.6065583Z 
2022-11-23T01:30:19.6065645Z  
2022-11-23T01:30:19.6065968Z [2022-11-23 01:23:15,572] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6066073Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_99)
2022-11-23T01:30:19.6066164Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6066256Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6066321Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6066410Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6066503Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6066579Z              12 RETURN_VALUE
2022-11-23T01:30:19.6066584Z 
2022-11-23T01:30:19.6066645Z  
2022-11-23T01:30:19.6066830Z [2022-11-23 01:23:15,573] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6066898Z  - 
2022-11-23T01:30:19.6067003Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6067070Z             {
2022-11-23T01:30:19.6067213Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6067398Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6067519Z                 'obj_weakref': None
2022-11-23T01:30:19.6067747Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6067813Z             }
2022-11-23T01:30:19.6067877Z             
2022-11-23T01:30:19.6067933Z  - 
2022-11-23T01:30:19.6068059Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6068121Z             {
2022-11-23T01:30:19.6068263Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6068370Z                 'code': None,
2022-11-23T01:30:19.6068583Z                 'obj_weakref': <weakref at 0x7ff5a81e3880; to 'Tensor' at 0x7ff5a87f0810>
2022-11-23T01:30:19.6068838Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6068916Z             }
2022-11-23T01:30:19.6068983Z             
2022-11-23T01:30:19.6069052Z  - 
2022-11-23T01:30:19.6069174Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6069236Z             {
2022-11-23T01:30:19.6069372Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6069530Z                 'code': ['___check_obj_id(model, 140693155818336)'],
2022-11-23T01:30:19.6069753Z                 'obj_weakref': <weakref at 0x7ff5a831ec50; to 'Sequential' at 0x7ff5ad932b60>
2022-11-23T01:30:19.6069989Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6070055Z             }
2022-11-23T01:30:19.6070117Z             
2022-11-23T01:30:19.6070188Z  - 
2022-11-23T01:30:19.6070308Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6070389Z             {
2022-11-23T01:30:19.6070528Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6070752Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6070871Z                 'obj_weakref': None
2022-11-23T01:30:19.6071092Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6071158Z             }
2022-11-23T01:30:19.6071227Z             
2022-11-23T01:30:19.6071296Z  - 
2022-11-23T01:30:19.6071428Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6071491Z             {
2022-11-23T01:30:19.6071610Z                 'guard_types': None,
2022-11-23T01:30:19.6071716Z                 'code': None,
2022-11-23T01:30:19.6071834Z                 'obj_weakref': None
2022-11-23T01:30:19.6071955Z                 'guarded_class': None
2022-11-23T01:30:19.6072005Z             }
2022-11-23T01:30:19.6072069Z             
2022-11-23T01:30:19.6072139Z  - 
2022-11-23T01:30:19.6072284Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6072347Z             {
2022-11-23T01:30:19.6072470Z                 'guard_types': None,
2022-11-23T01:30:19.6072576Z                 'code': None,
2022-11-23T01:30:19.6072681Z                 'obj_weakref': None
2022-11-23T01:30:19.6072802Z                 'guarded_class': None
2022-11-23T01:30:19.6072866Z             }
2022-11-23T01:30:19.6072928Z             
2022-11-23T01:30:19.6073185Z [2022-11-23 01:23:15,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 98
2022-11-23T01:30:19.6073557Z [2022-11-23 01:23:15,593] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/or/corlpjgxuxz6dsfs7yuccyybs2nj6kku2ewgi6byzmvph5fzxc2k.py
2022-11-23T01:30:19.6073913Z [2022-11-23 01:23:15,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 98
2022-11-23T01:30:19.6074159Z [2022-11-23 01:23:15,619] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6074465Z [2022-11-23 01:23:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6074682Z [2022-11-23 01:23:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6074926Z [2022-11-23 01:23:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6075194Z [2022-11-23 01:23:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6075507Z [2022-11-23 01:23:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6075845Z [2022-11-23 01:23:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6076156Z [2022-11-23 01:23:15,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6076439Z [2022-11-23 01:23:15,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6076675Z [2022-11-23 01:23:15,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6076930Z [2022-11-23 01:23:15,634] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6077171Z [2022-11-23 01:23:15,648] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6077359Z [2022-11-23 01:23:15,649] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6077493Z  __compiled_fn_100 <eval_with_key>.834 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6077584Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6077712Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6077812Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6077817Z 
2022-11-23T01:30:19.6078146Z [2022-11-23 01:23:15,649] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6078241Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6078319Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6078409Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6078502Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6078589Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6078676Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6078751Z              12 RETURN_VALUE
2022-11-23T01:30:19.6078756Z 
2022-11-23T01:30:19.6078820Z  
2022-11-23T01:30:19.6079141Z [2022-11-23 01:23:15,649] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6079241Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_100)
2022-11-23T01:30:19.6079334Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6079423Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6079502Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6079590Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6079679Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6079755Z              12 RETURN_VALUE
2022-11-23T01:30:19.6079759Z 
2022-11-23T01:30:19.6079807Z  
2022-11-23T01:30:19.6079989Z [2022-11-23 01:23:15,650] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6080059Z  - 
2022-11-23T01:30:19.6080177Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6080242Z             {
2022-11-23T01:30:19.6080383Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6080571Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6080679Z                 'obj_weakref': None
2022-11-23T01:30:19.6080905Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6080970Z             }
2022-11-23T01:30:19.6081034Z             
2022-11-23T01:30:19.6081103Z  - 
2022-11-23T01:30:19.6081227Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6081290Z             {
2022-11-23T01:30:19.6081418Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6081523Z                 'code': None,
2022-11-23T01:30:19.6081738Z                 'obj_weakref': <weakref at 0x7ff5a8858a40; to 'Tensor' at 0x7ff5a8073010>
2022-11-23T01:30:19.6081992Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6082057Z             }
2022-11-23T01:30:19.6082120Z             
2022-11-23T01:30:19.6082187Z  - 
2022-11-23T01:30:19.6082297Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6082361Z             {
2022-11-23T01:30:19.6082496Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6082709Z                 'code': ['___check_obj_id(model, 140693155818336)'],
2022-11-23T01:30:19.6082942Z                 'obj_weakref': <weakref at 0x7ff5a831ec50; to 'Sequential' at 0x7ff5ad932b60>
2022-11-23T01:30:19.6083178Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6083244Z             }
2022-11-23T01:30:19.6083294Z             
2022-11-23T01:30:19.6083363Z  - 
2022-11-23T01:30:19.6083487Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6083550Z             {
2022-11-23T01:30:19.6083687Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6083903Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6084024Z                 'obj_weakref': None
2022-11-23T01:30:19.6084262Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6084325Z             }
2022-11-23T01:30:19.6084389Z             
2022-11-23T01:30:19.6084461Z  - 
2022-11-23T01:30:19.6084609Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6084672Z             {
2022-11-23T01:30:19.6084791Z                 'guard_types': None,
2022-11-23T01:30:19.6084884Z                 'code': None,
2022-11-23T01:30:19.6085003Z                 'obj_weakref': None
2022-11-23T01:30:19.6085125Z                 'guarded_class': None
2022-11-23T01:30:19.6085189Z             }
2022-11-23T01:30:19.6085253Z             
2022-11-23T01:30:19.6085324Z  - 
2022-11-23T01:30:19.6085471Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6085522Z             {
2022-11-23T01:30:19.6085641Z                 'guard_types': None,
2022-11-23T01:30:19.6085747Z                 'code': None,
2022-11-23T01:30:19.6085864Z                 'obj_weakref': None
2022-11-23T01:30:19.6085988Z                 'guarded_class': None
2022-11-23T01:30:19.6086050Z             }
2022-11-23T01:30:19.6086100Z             
2022-11-23T01:30:19.6086363Z [2022-11-23 01:23:15,659] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 99
2022-11-23T01:30:19.6086369Z 
2022-11-23T01:30:19.6086463Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6086533Z import torch
2022-11-23T01:30:19.6086604Z import random
2022-11-23T01:30:19.6086721Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6086844Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6086849Z 
2022-11-23T01:30:19.6086926Z aten = torch.ops.aten
2022-11-23T01:30:19.6087047Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6087141Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6087145Z 
2022-11-23T01:30:19.6087150Z 
2022-11-23T01:30:19.6087285Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6087497Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6087619Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6087723Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6087784Z {
2022-11-23T01:30:19.6087883Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6087933Z     {
2022-11-23T01:30:19.6088011Z         #pragma omp for 
2022-11-23T01:30:19.6088098Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.6088162Z         {
2022-11-23T01:30:19.6088243Z             #pragma GCC ivdep
2022-11-23T01:30:19.6088327Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.6088390Z             {
2022-11-23T01:30:19.6088459Z                 #pragma GCC ivdep
2022-11-23T01:30:19.6088549Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:30:19.6088616Z                 {
2022-11-23T01:30:19.6088683Z                     {
2022-11-23T01:30:19.6088751Z                         {
2022-11-23T01:30:19.6088865Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:30:19.6088975Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:30:19.6089058Z                         }
2022-11-23T01:30:19.6089127Z                     }
2022-11-23T01:30:19.6089194Z                 }
2022-11-23T01:30:19.6089257Z             }
2022-11-23T01:30:19.6089320Z         }
2022-11-23T01:30:19.6089381Z     }
2022-11-23T01:30:19.6089429Z }
2022-11-23T01:30:19.6089509Z ''')
2022-11-23T01:30:19.6089514Z 
2022-11-23T01:30:19.6089518Z 
2022-11-23T01:30:19.6089608Z async_compile.wait(globals())
2022-11-23T01:30:19.6089680Z del async_compile
2022-11-23T01:30:19.6089684Z 
2022-11-23T01:30:19.6089755Z def call(args):
2022-11-23T01:30:19.6089875Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6089949Z     args.clear()
2022-11-23T01:30:19.6090167Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6090352Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6090420Z     del arg0_1
2022-11-23T01:30:19.6090556Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:30:19.6090670Z     assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2022-11-23T01:30:19.6090739Z     del arg1_1
2022-11-23T01:30:19.6090809Z     del arg7_1
2022-11-23T01:30:19.6090884Z     return (buf1, )
2022-11-23T01:30:19.6090889Z 
2022-11-23T01:30:19.6090893Z 
2022-11-23T01:30:19.6090956Z if __name__ == "__main__":
2022-11-23T01:30:19.6091071Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6091193Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6091407Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6091607Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6091802Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6091998Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6092186Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6092363Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6092542Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6092766Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6092921Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6092926Z 
2022-11-23T01:30:19.6092930Z 
2022-11-23T01:30:19.6093025Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6093092Z import torch
2022-11-23T01:30:19.6093162Z import random
2022-11-23T01:30:19.6093282Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6093389Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6093408Z 
2022-11-23T01:30:19.6093476Z aten = torch.ops.aten
2022-11-23T01:30:19.6093614Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6093705Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6093710Z 
2022-11-23T01:30:19.6093714Z 
2022-11-23T01:30:19.6093801Z async_compile.wait(globals())
2022-11-23T01:30:19.6093871Z del async_compile
2022-11-23T01:30:19.6093875Z 
2022-11-23T01:30:19.6093947Z def call(args):
2022-11-23T01:30:19.6094063Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6094120Z     args.clear()
2022-11-23T01:30:19.6094256Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.6094369Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T01:30:19.6094438Z     del arg0_1
2022-11-23T01:30:19.6094508Z     del arg1_1
2022-11-23T01:30:19.6094575Z     del arg7_1
2022-11-23T01:30:19.6094644Z     return (buf0, )
2022-11-23T01:30:19.6094648Z 
2022-11-23T01:30:19.6094653Z 
2022-11-23T01:30:19.6094756Z if __name__ == "__main__":
2022-11-23T01:30:19.6094859Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6094980Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6095191Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6095387Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6095583Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6095769Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6095955Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6096137Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6096342Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6096740Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6096897Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6096902Z 
2022-11-23T01:30:19.6096906Z 
2022-11-23T01:30:19.6096999Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6097071Z import torch
2022-11-23T01:30:19.6097143Z import random
2022-11-23T01:30:19.6097257Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6097377Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6097382Z 
2022-11-23T01:30:19.6097446Z aten = torch.ops.aten
2022-11-23T01:30:19.6097580Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6097670Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6097677Z 
2022-11-23T01:30:19.6097682Z 
2022-11-23T01:30:19.6097772Z async_compile.wait(globals())
2022-11-23T01:30:19.6097846Z del async_compile
2022-11-23T01:30:19.6097850Z 
2022-11-23T01:30:19.6097922Z def call(args):
2022-11-23T01:30:19.6098041Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6098111Z     args.clear()
2022-11-23T01:30:19.6098234Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.6098345Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T01:30:19.6098412Z     del arg0_1
2022-11-23T01:30:19.6098480Z     del arg1_1
2022-11-23T01:30:19.6098546Z     del arg7_1
2022-11-23T01:30:19.6098618Z     return (buf0, )
2022-11-23T01:30:19.6098623Z 
2022-11-23T01:30:19.6098627Z 
2022-11-23T01:30:19.6098703Z if __name__ == "__main__":
2022-11-23T01:30:19.6098803Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6098924Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6099138Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6099335Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6099529Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6099719Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6099904Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6100092Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6100259Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6100478Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6100634Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6100641Z 
2022-11-23T01:30:19.6100645Z 
2022-11-23T01:30:19.6100741Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6100813Z import torch
2022-11-23T01:30:19.6100941Z import random
2022-11-23T01:30:19.6101057Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6101179Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6101184Z 
2022-11-23T01:30:19.6101248Z aten = torch.ops.aten
2022-11-23T01:30:19.6101382Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6101474Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6101479Z 
2022-11-23T01:30:19.6101483Z 
2022-11-23T01:30:19.6101572Z async_compile.wait(globals())
2022-11-23T01:30:19.6101646Z del async_compile
2022-11-23T01:30:19.6101650Z 
2022-11-23T01:30:19.6101721Z def call(args):
2022-11-23T01:30:19.6101839Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6101910Z     args.clear()
2022-11-23T01:30:19.6102069Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:30:19.6102186Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T01:30:19.6102255Z     del arg0_1
2022-11-23T01:30:19.6102323Z     del arg1_1
2022-11-23T01:30:19.6102389Z     del arg7_1
2022-11-23T01:30:19.6102461Z     return (buf0, )
2022-11-23T01:30:19.6102465Z 
2022-11-23T01:30:19.6102470Z 
2022-11-23T01:30:19.6102548Z if __name__ == "__main__":
2022-11-23T01:30:19.6102661Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6102770Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6102982Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6103178Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6103372Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6103565Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6103755Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6103946Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6104125Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6104340Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6104497Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6104501Z 
2022-11-23T01:30:19.6104879Z [2022-11-23 01:23:15,664] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijnfux3uansbazibtw345rwikdm4tlxknsq7f4h3gzzzyxnzqeu.py
2022-11-23T01:30:19.6105145Z [2022-11-23 01:23:15,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 99
2022-11-23T01:30:19.6105386Z [2022-11-23 01:23:15,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6105708Z [2022-11-23 01:23:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6105926Z [2022-11-23 01:23:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6106169Z [2022-11-23 01:23:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6106439Z [2022-11-23 01:23:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6106752Z [2022-11-23 01:23:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6107076Z [2022-11-23 01:23:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6107429Z [2022-11-23 01:23:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6107678Z [2022-11-23 01:23:15,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6107913Z [2022-11-23 01:23:15,702] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6108167Z [2022-11-23 01:23:15,703] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6108415Z [2022-11-23 01:23:15,718] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6108604Z [2022-11-23 01:23:15,718] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6108738Z  __compiled_fn_101 <eval_with_key>.845 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6108855Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6108942Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6109040Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6109048Z 
2022-11-23T01:30:19.6109372Z [2022-11-23 01:23:15,719] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6109466Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6109556Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6109643Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6109736Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6109822Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6109900Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6109977Z              12 RETURN_VALUE
2022-11-23T01:30:19.6109982Z 
2022-11-23T01:30:19.6110045Z  
2022-11-23T01:30:19.6110373Z [2022-11-23 01:23:15,719] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6110488Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_101)
2022-11-23T01:30:19.6110578Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6110669Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6110733Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6110821Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6110912Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6110989Z              12 RETURN_VALUE
2022-11-23T01:30:19.6110993Z 
2022-11-23T01:30:19.6111056Z  
2022-11-23T01:30:19.6111240Z [2022-11-23 01:23:15,719] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6111313Z  - 
2022-11-23T01:30:19.6111418Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6111482Z             {
2022-11-23T01:30:19.6111622Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6111812Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6111933Z                 'obj_weakref': None
2022-11-23T01:30:19.6112162Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6112228Z             }
2022-11-23T01:30:19.6112293Z             
2022-11-23T01:30:19.6112350Z  - 
2022-11-23T01:30:19.6112477Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6112542Z             {
2022-11-23T01:30:19.6112685Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6112795Z                 'code': None,
2022-11-23T01:30:19.6113011Z                 'obj_weakref': <weakref at 0x7ff5a87a0a40; to 'Tensor' at 0x7ff5ad97be20>
2022-11-23T01:30:19.6113267Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6113319Z             }
2022-11-23T01:30:19.6113382Z             
2022-11-23T01:30:19.6113453Z  - 
2022-11-23T01:30:19.6113573Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6113636Z             {
2022-11-23T01:30:19.6113771Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6114051Z                 'code': ['___check_obj_id(model, 140693065704464)'],
2022-11-23T01:30:19.6114274Z                 'obj_weakref': <weakref at 0x7ff5ad97b6a0; to 'Sequential' at 0x7ff5a8342410>
2022-11-23T01:30:19.6114506Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6114572Z             }
2022-11-23T01:30:19.6114636Z             
2022-11-23T01:30:19.6114705Z  - 
2022-11-23T01:30:19.6114828Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6114878Z             {
2022-11-23T01:30:19.6115018Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6115237Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6115356Z                 'obj_weakref': None
2022-11-23T01:30:19.6115607Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6115672Z             }
2022-11-23T01:30:19.6115738Z             
2022-11-23T01:30:19.6115808Z  - 
2022-11-23T01:30:19.6115940Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6116003Z             {
2022-11-23T01:30:19.6116123Z                 'guard_types': None,
2022-11-23T01:30:19.6116231Z                 'code': None,
2022-11-23T01:30:19.6116348Z                 'obj_weakref': None
2022-11-23T01:30:19.6116471Z                 'guarded_class': None
2022-11-23T01:30:19.6116521Z             }
2022-11-23T01:30:19.6116585Z             
2022-11-23T01:30:19.6116655Z  - 
2022-11-23T01:30:19.6116801Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6116863Z             {
2022-11-23T01:30:19.6116983Z                 'guard_types': None,
2022-11-23T01:30:19.6117089Z                 'code': None,
2022-11-23T01:30:19.6117197Z                 'obj_weakref': None
2022-11-23T01:30:19.6117321Z                 'guarded_class': None
2022-11-23T01:30:19.6117385Z             }
2022-11-23T01:30:19.6117449Z             
2022-11-23T01:30:19.6117711Z [2022-11-23 01:23:15,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 100
2022-11-23T01:30:19.6118085Z [2022-11-23 01:23:15,733] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm72mgnroaydldfhwsnwrfwyqmzgsgmpxazzx54i4symsnfd7j2s.py
2022-11-23T01:30:19.6118352Z [2022-11-23 01:23:15,733] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 100
2022-11-23T01:30:19.6118591Z [2022-11-23 01:23:15,742] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6118892Z [2022-11-23 01:23:15,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6119108Z [2022-11-23 01:23:15,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6119355Z [2022-11-23 01:23:15,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6119623Z [2022-11-23 01:23:15,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6119934Z [2022-11-23 01:23:15,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6120270Z [2022-11-23 01:23:15,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6120580Z [2022-11-23 01:23:15,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6120828Z [2022-11-23 01:23:15,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6121063Z [2022-11-23 01:23:15,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6121343Z [2022-11-23 01:23:15,756] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6121580Z [2022-11-23 01:23:15,771] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6121770Z [2022-11-23 01:23:15,771] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6121904Z  __compiled_fn_102 <eval_with_key>.856 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6121995Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6122095Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6122194Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6122200Z 
2022-11-23T01:30:19.6122525Z [2022-11-23 01:23:15,771] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6122648Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6122727Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6122814Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6122908Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6122994Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6123083Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6123159Z              12 RETURN_VALUE
2022-11-23T01:30:19.6123164Z 
2022-11-23T01:30:19.6123225Z  
2022-11-23T01:30:19.6123544Z [2022-11-23 01:23:15,771] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6123642Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_102)
2022-11-23T01:30:19.6123731Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6123821Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6123908Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6123995Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6124086Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6124162Z              12 RETURN_VALUE
2022-11-23T01:30:19.6124166Z 
2022-11-23T01:30:19.6124214Z  
2022-11-23T01:30:19.6124397Z [2022-11-23 01:23:15,772] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6124467Z  - 
2022-11-23T01:30:19.6124586Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6124650Z             {
2022-11-23T01:30:19.6124790Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6124977Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6125083Z                 'obj_weakref': None
2022-11-23T01:30:19.6125309Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6125374Z             }
2022-11-23T01:30:19.6125441Z             
2022-11-23T01:30:19.6125510Z  - 
2022-11-23T01:30:19.6125634Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6125700Z             {
2022-11-23T01:30:19.6125832Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6125939Z                 'code': None,
2022-11-23T01:30:19.6126148Z                 'obj_weakref': <weakref at 0x7ff5a80a0130; to 'Tensor' at 0x7ff5a8541080>
2022-11-23T01:30:19.6126399Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6126462Z             }
2022-11-23T01:30:19.6126523Z             
2022-11-23T01:30:19.6126592Z  - 
2022-11-23T01:30:19.6126700Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6126760Z             {
2022-11-23T01:30:19.6126893Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6127059Z                 'code': ['___check_obj_id(model, 140693065704464)'],
2022-11-23T01:30:19.6127278Z                 'obj_weakref': <weakref at 0x7ff5ad97b6a0; to 'Sequential' at 0x7ff5a8342410>
2022-11-23T01:30:19.6127512Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6127616Z             }
2022-11-23T01:30:19.6127667Z             
2022-11-23T01:30:19.6127737Z  - 
2022-11-23T01:30:19.6127860Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6127922Z             {
2022-11-23T01:30:19.6128057Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6128275Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6128391Z                 'obj_weakref': None
2022-11-23T01:30:19.6128599Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6128659Z             }
2022-11-23T01:30:19.6128719Z             
2022-11-23T01:30:19.6128786Z  - 
2022-11-23T01:30:19.6128929Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6129025Z             {
2022-11-23T01:30:19.6129145Z                 'guard_types': None,
2022-11-23T01:30:19.6129238Z                 'code': None,
2022-11-23T01:30:19.6129357Z                 'obj_weakref': None
2022-11-23T01:30:19.6129479Z                 'guarded_class': None
2022-11-23T01:30:19.6129542Z             }
2022-11-23T01:30:19.6129606Z             
2022-11-23T01:30:19.6129673Z  - 
2022-11-23T01:30:19.6129805Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6129869Z             {
2022-11-23T01:30:19.6129989Z                 'guard_types': None,
2022-11-23T01:30:19.6130096Z                 'code': None,
2022-11-23T01:30:19.6130215Z                 'obj_weakref': None
2022-11-23T01:30:19.6130336Z                 'guarded_class': None
2022-11-23T01:30:19.6130399Z             }
2022-11-23T01:30:19.6130449Z             
2022-11-23T01:30:19.6130713Z [2022-11-23 01:23:15,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 101
2022-11-23T01:30:19.6131079Z [2022-11-23 01:23:15,786] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5hne224xqpmbz2iwctwmn3ftlihzfntp675knd3uggo3gsrfrp.py
2022-11-23T01:30:19.6131344Z [2022-11-23 01:23:15,786] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 101
2022-11-23T01:30:19.6131579Z [2022-11-23 01:23:15,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6131897Z [2022-11-23 01:23:15,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6132113Z [2022-11-23 01:23:15,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6132357Z [2022-11-23 01:23:15,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6132625Z [2022-11-23 01:23:15,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6132938Z [2022-11-23 01:23:15,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6133261Z [2022-11-23 01:23:15,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6133576Z [2022-11-23 01:23:15,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6133820Z [2022-11-23 01:23:15,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6134054Z [2022-11-23 01:23:15,810] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6134306Z [2022-11-23 01:23:15,811] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6134556Z [2022-11-23 01:23:15,828] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6134747Z [2022-11-23 01:23:15,828] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6134911Z  __compiled_fn_103 <eval_with_key>.867 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6135003Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6135088Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6135188Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6135193Z 
2022-11-23T01:30:19.6135517Z [2022-11-23 01:23:15,828] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6135614Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6135704Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6135791Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6135884Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6136002Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6136077Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6136155Z              12 RETURN_VALUE
2022-11-23T01:30:19.6136161Z 
2022-11-23T01:30:19.6136223Z  
2022-11-23T01:30:19.6136668Z [2022-11-23 01:23:15,828] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6136777Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_103)
2022-11-23T01:30:19.6136869Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6136958Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6137022Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6137110Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6137200Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6137276Z              12 RETURN_VALUE
2022-11-23T01:30:19.6137281Z 
2022-11-23T01:30:19.6137348Z  
2022-11-23T01:30:19.6137531Z [2022-11-23 01:23:15,829] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6137599Z  - 
2022-11-23T01:30:19.6137706Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6137775Z             {
2022-11-23T01:30:19.6137916Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6138105Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6138223Z                 'obj_weakref': None
2022-11-23T01:30:19.6138446Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6138508Z             }
2022-11-23T01:30:19.6138559Z             
2022-11-23T01:30:19.6138626Z  - 
2022-11-23T01:30:19.6138749Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6138811Z             {
2022-11-23T01:30:19.6138953Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6139061Z                 'code': None,
2022-11-23T01:30:19.6139278Z                 'obj_weakref': <weakref at 0x7ff5a81e19e0; to 'Tensor' at 0x7ff5a80a1530>
2022-11-23T01:30:19.6139532Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6139585Z             }
2022-11-23T01:30:19.6139645Z             
2022-11-23T01:30:19.6139715Z  - 
2022-11-23T01:30:19.6139833Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6139898Z             {
2022-11-23T01:30:19.6140030Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6140186Z                 'code': ['___check_obj_id(model, 140693062644400)'],
2022-11-23T01:30:19.6140402Z                 'obj_weakref': <weakref at 0x7ff5a865b6f0; to 'Sequential' at 0x7ff5a80572b0>
2022-11-23T01:30:19.6140635Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6140697Z             }
2022-11-23T01:30:19.6140760Z             
2022-11-23T01:30:19.6140833Z  - 
2022-11-23T01:30:19.6140956Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6141005Z             {
2022-11-23T01:30:19.6141141Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6141405Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6141522Z                 'obj_weakref': None
2022-11-23T01:30:19.6141743Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6141803Z             }
2022-11-23T01:30:19.6141866Z             
2022-11-23T01:30:19.6141937Z  - 
2022-11-23T01:30:19.6142067Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6142130Z             {
2022-11-23T01:30:19.6142247Z                 'guard_types': None,
2022-11-23T01:30:19.6142353Z                 'code': None,
2022-11-23T01:30:19.6142472Z                 'obj_weakref': None
2022-11-23T01:30:19.6142593Z                 'guarded_class': None
2022-11-23T01:30:19.6142642Z             }
2022-11-23T01:30:19.6142742Z             
2022-11-23T01:30:19.6142812Z  - 
2022-11-23T01:30:19.6142958Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6143019Z             {
2022-11-23T01:30:19.6143139Z                 'guard_types': None,
2022-11-23T01:30:19.6143242Z                 'code': None,
2022-11-23T01:30:19.6143345Z                 'obj_weakref': None
2022-11-23T01:30:19.6143462Z                 'guarded_class': None
2022-11-23T01:30:19.6143523Z             }
2022-11-23T01:30:19.6143584Z             
2022-11-23T01:30:19.6143843Z [2022-11-23 01:23:15,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 102
2022-11-23T01:30:19.6144209Z [2022-11-23 01:23:15,843] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2yxxcymttmoi3aus43srazullzlsf5zsjiog5ovwktdn2orvqr.py
2022-11-23T01:30:19.6144473Z [2022-11-23 01:23:15,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 102
2022-11-23T01:30:19.6144709Z [2022-11-23 01:23:15,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6145010Z [2022-11-23 01:23:15,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6145225Z [2022-11-23 01:23:15,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6145465Z [2022-11-23 01:23:15,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6145728Z [2022-11-23 01:23:15,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6146042Z [2022-11-23 01:23:15,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6146379Z [2022-11-23 01:23:15,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6146695Z [2022-11-23 01:23:15,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6146938Z [2022-11-23 01:23:15,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6147168Z [2022-11-23 01:23:15,884] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6147421Z [2022-11-23 01:23:15,885] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6147655Z [2022-11-23 01:23:15,900] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6147841Z [2022-11-23 01:23:15,901] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6147975Z  __compiled_fn_104 <eval_with_key>.878 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6148064Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6148161Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6148259Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6148265Z 
2022-11-23T01:30:19.6148617Z [2022-11-23 01:23:15,901] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6148713Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6148792Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6148875Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6148966Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6149051Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6149136Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6149210Z              12 RETURN_VALUE
2022-11-23T01:30:19.6149215Z 
2022-11-23T01:30:19.6149275Z  
2022-11-23T01:30:19.6149596Z [2022-11-23 01:23:15,901] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6149725Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_104)
2022-11-23T01:30:19.6149812Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6149898Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6149975Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6150060Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6150148Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6150221Z              12 RETURN_VALUE
2022-11-23T01:30:19.6150226Z 
2022-11-23T01:30:19.6150274Z  
2022-11-23T01:30:19.6150456Z [2022-11-23 01:23:15,902] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6150522Z  - 
2022-11-23T01:30:19.6150638Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6150702Z             {
2022-11-23T01:30:19.6150841Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6151025Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6151132Z                 'obj_weakref': None
2022-11-23T01:30:19.6151356Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6151419Z             }
2022-11-23T01:30:19.6151482Z             
2022-11-23T01:30:19.6151549Z  - 
2022-11-23T01:30:19.6151671Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6151731Z             {
2022-11-23T01:30:19.6151860Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6151964Z                 'code': None,
2022-11-23T01:30:19.6152181Z                 'obj_weakref': <weakref at 0x7ff5a816e0c0; to 'Tensor' at 0x7ff5ad97b650>
2022-11-23T01:30:19.6152432Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6152494Z             }
2022-11-23T01:30:19.6152555Z             
2022-11-23T01:30:19.6152623Z  - 
2022-11-23T01:30:19.6152729Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6152794Z             {
2022-11-23T01:30:19.6152925Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6153095Z                 'code': ['___check_obj_id(model, 140693062644400)'],
2022-11-23T01:30:19.6153312Z                 'obj_weakref': <weakref at 0x7ff5a81e0a90; to 'Sequential' at 0x7ff5a80572b0>
2022-11-23T01:30:19.6153546Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6153608Z             }
2022-11-23T01:30:19.6153658Z             
2022-11-23T01:30:19.6153724Z  - 
2022-11-23T01:30:19.6153915Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6153979Z             {
2022-11-23T01:30:19.6154116Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6154329Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6154447Z                 'obj_weakref': None
2022-11-23T01:30:19.6154656Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6154718Z             }
2022-11-23T01:30:19.6154815Z             
2022-11-23T01:30:19.6154884Z  - 
2022-11-23T01:30:19.6155026Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6155087Z             {
2022-11-23T01:30:19.6155206Z                 'guard_types': None,
2022-11-23T01:30:19.6155298Z                 'code': None,
2022-11-23T01:30:19.6155412Z                 'obj_weakref': None
2022-11-23T01:30:19.6155531Z                 'guarded_class': None
2022-11-23T01:30:19.6155594Z             }
2022-11-23T01:30:19.6155655Z             
2022-11-23T01:30:19.6155720Z  - 
2022-11-23T01:30:19.6155860Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6155910Z             {
2022-11-23T01:30:19.6156028Z                 'guard_types': None,
2022-11-23T01:30:19.6156132Z                 'code': None,
2022-11-23T01:30:19.6156283Z                 'obj_weakref': None
2022-11-23T01:30:19.6156405Z                 'guarded_class': None
2022-11-23T01:30:19.6156465Z             }
2022-11-23T01:30:19.6156515Z             
2022-11-23T01:30:19.6156779Z [2022-11-23 01:23:15,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 103
2022-11-23T01:30:19.6157143Z [2022-11-23 01:23:15,917] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpx3xs33qdv33dvpqv2ac2ttf5hpsz7rbvfdrbfaz744dtzrdsln.py
2022-11-23T01:30:19.6157402Z [2022-11-23 01:23:15,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 103
2022-11-23T01:30:19.6157635Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6157947Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6158163Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6158408Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6158677Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6158988Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6159310Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6159619Z [2022-11-23 01:23:15,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6159865Z [2022-11-23 01:23:15,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6160097Z [2022-11-23 01:23:15,952] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6160350Z [2022-11-23 01:23:15,953] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6160597Z [2022-11-23 01:23:15,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6160783Z [2022-11-23 01:23:15,969] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6160913Z  __compiled_fn_105 <eval_with_key>.889 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6161001Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6161087Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6161183Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6161189Z 
2022-11-23T01:30:19.6161509Z [2022-11-23 01:23:15,969] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6161603Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6161690Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6161803Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6161895Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6161977Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6162052Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6162125Z              12 RETURN_VALUE
2022-11-23T01:30:19.6162130Z 
2022-11-23T01:30:19.6162189Z  
2022-11-23T01:30:19.6162508Z [2022-11-23 01:23:15,969] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6162617Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_105)
2022-11-23T01:30:19.6162705Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6162792Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6162893Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6162979Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6163069Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6163142Z              12 RETURN_VALUE
2022-11-23T01:30:19.6163146Z 
2022-11-23T01:30:19.6163205Z  
2022-11-23T01:30:19.6163384Z [2022-11-23 01:23:15,970] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6163452Z  - 
2022-11-23T01:30:19.6163567Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6163618Z             {
2022-11-23T01:30:19.6163756Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6163943Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6164061Z                 'obj_weakref': None
2022-11-23T01:30:19.6164282Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6164344Z             }
2022-11-23T01:30:19.6164408Z             
2022-11-23T01:30:19.6164464Z  - 
2022-11-23T01:30:19.6164586Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6164649Z             {
2022-11-23T01:30:19.6164791Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6164894Z                 'code': None,
2022-11-23T01:30:19.6165103Z                 'obj_weakref': <weakref at 0x7ff5a87a0a40; to 'Tensor' at 0x7ff6383cfec0>
2022-11-23T01:30:19.6165353Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6165404Z             }
2022-11-23T01:30:19.6165466Z             
2022-11-23T01:30:19.6165532Z  - 
2022-11-23T01:30:19.6165653Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6165714Z             {
2022-11-23T01:30:19.6165854Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6166019Z                 'code': ['___check_obj_id(model, 140693155810752)'],
2022-11-23T01:30:19.6166225Z                 'obj_weakref': <weakref at 0x7ff58fdc2200; to 'Sequential' at 0x7ff5ad930dc0>
2022-11-23T01:30:19.6166458Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6166523Z             }
2022-11-23T01:30:19.6166586Z             
2022-11-23T01:30:19.6166653Z  - 
2022-11-23T01:30:19.6166773Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6166834Z             {
2022-11-23T01:30:19.6166958Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6167174Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6167291Z                 'obj_weakref': None
2022-11-23T01:30:19.6167510Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6167571Z             }
2022-11-23T01:30:19.6167632Z             
2022-11-23T01:30:19.6167698Z  - 
2022-11-23T01:30:19.6167829Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6167893Z             {
2022-11-23T01:30:19.6168010Z                 'guard_types': None,
2022-11-23T01:30:19.6168116Z                 'code': None,
2022-11-23T01:30:19.6168262Z                 'obj_weakref': None
2022-11-23T01:30:19.6168382Z                 'guarded_class': None
2022-11-23T01:30:19.6168443Z             }
2022-11-23T01:30:19.6168494Z             
2022-11-23T01:30:19.6168562Z  - 
2022-11-23T01:30:19.6168703Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6168766Z             {
2022-11-23T01:30:19.6168883Z                 'guard_types': None,
2022-11-23T01:30:19.6168987Z                 'code': None,
2022-11-23T01:30:19.6169091Z                 'obj_weakref': None
2022-11-23T01:30:19.6169211Z                 'guarded_class': None
2022-11-23T01:30:19.6169274Z             }
2022-11-23T01:30:19.6169336Z             
2022-11-23T01:30:19.6169594Z [2022-11-23 01:23:15,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 104
2022-11-23T01:30:19.6169628Z 
2022-11-23T01:30:19.6169721Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6169791Z import torch
2022-11-23T01:30:19.6169847Z import random
2022-11-23T01:30:19.6169966Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6170083Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6170088Z 
2022-11-23T01:30:19.6170165Z aten = torch.ops.aten
2022-11-23T01:30:19.6170299Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6170392Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6170397Z 
2022-11-23T01:30:19.6170402Z 
2022-11-23T01:30:19.6170489Z async_compile.wait(globals())
2022-11-23T01:30:19.6170563Z del async_compile
2022-11-23T01:30:19.6170567Z 
2022-11-23T01:30:19.6170624Z def call(args):
2022-11-23T01:30:19.6170745Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6170818Z     args.clear()
2022-11-23T01:30:19.6170957Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:30:19.6171071Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T01:30:19.6171140Z     del arg0_1
2022-11-23T01:30:19.6171210Z     del arg1_1
2022-11-23T01:30:19.6171276Z     del arg7_1
2022-11-23T01:30:19.6171337Z     return (buf0, )
2022-11-23T01:30:19.6171342Z 
2022-11-23T01:30:19.6171346Z 
2022-11-23T01:30:19.6171425Z if __name__ == "__main__":
2022-11-23T01:30:19.6171539Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6171660Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6171876Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6172071Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6172265Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6172454Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6172634Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6172824Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6173003Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6173230Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6173386Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6173391Z 
2022-11-23T01:30:19.6173395Z 
2022-11-23T01:30:19.6173490Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6173562Z import torch
2022-11-23T01:30:19.6173631Z import random
2022-11-23T01:30:19.6173734Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6173854Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6173859Z 
2022-11-23T01:30:19.6173939Z aten = torch.ops.aten
2022-11-23T01:30:19.6174072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6174164Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6174212Z 
2022-11-23T01:30:19.6174217Z 
2022-11-23T01:30:19.6174308Z async_compile.wait(globals())
2022-11-23T01:30:19.6174381Z del async_compile
2022-11-23T01:30:19.6174386Z 
2022-11-23T01:30:19.6174458Z def call(args):
2022-11-23T01:30:19.6174566Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6174639Z     args.clear()
2022-11-23T01:30:19.6174772Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:30:19.6174884Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T01:30:19.6174951Z     del arg0_1
2022-11-23T01:30:19.6175017Z     del arg1_1
2022-11-23T01:30:19.6175083Z     del arg7_1
2022-11-23T01:30:19.6175141Z     return (buf0, )
2022-11-23T01:30:19.6175146Z 
2022-11-23T01:30:19.6175193Z 
2022-11-23T01:30:19.6175257Z if __name__ == "__main__":
2022-11-23T01:30:19.6175366Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6175491Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6175704Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6175896Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6176083Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6176268Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6176585Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6176834Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6177016Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6177237Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6177397Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6177402Z 
2022-11-23T01:30:19.6177406Z 
2022-11-23T01:30:19.6177499Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6177572Z import torch
2022-11-23T01:30:19.6177640Z import random
2022-11-23T01:30:19.6177741Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6177861Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6177865Z 
2022-11-23T01:30:19.6177940Z aten = torch.ops.aten
2022-11-23T01:30:19.6178072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6178162Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6178167Z 
2022-11-23T01:30:19.6178171Z 
2022-11-23T01:30:19.6178260Z async_compile.wait(globals())
2022-11-23T01:30:19.6178331Z del async_compile
2022-11-23T01:30:19.6178338Z 
2022-11-23T01:30:19.6178407Z def call(args):
2022-11-23T01:30:19.6178511Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6178583Z     args.clear()
2022-11-23T01:30:19.6178717Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:30:19.6178826Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T01:30:19.6178894Z     del arg0_1
2022-11-23T01:30:19.6178959Z     del arg1_1
2022-11-23T01:30:19.6179024Z     del arg7_1
2022-11-23T01:30:19.6179082Z     return (buf0, )
2022-11-23T01:30:19.6179098Z 
2022-11-23T01:30:19.6179102Z 
2022-11-23T01:30:19.6179164Z if __name__ == "__main__":
2022-11-23T01:30:19.6179275Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6179394Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6179605Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6179797Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6179983Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6180232Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6180417Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6180587Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6180764Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6180983Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6181136Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6181141Z 
2022-11-23T01:30:19.6181145Z 
2022-11-23T01:30:19.6181238Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6181307Z import torch
2022-11-23T01:30:19.6181413Z import random
2022-11-23T01:30:19.6181531Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6181638Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6181645Z 
2022-11-23T01:30:19.6181721Z aten = torch.ops.aten
2022-11-23T01:30:19.6181853Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6181943Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6181948Z 
2022-11-23T01:30:19.6181952Z 
2022-11-23T01:30:19.6182038Z async_compile.wait(globals())
2022-11-23T01:30:19.6182107Z del async_compile
2022-11-23T01:30:19.6182112Z 
2022-11-23T01:30:19.6182179Z def call(args):
2022-11-23T01:30:19.6182295Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6182354Z     args.clear()
2022-11-23T01:30:19.6182485Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:30:19.6182596Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T01:30:19.6182666Z     del arg0_1
2022-11-23T01:30:19.6182730Z     del arg1_1
2022-11-23T01:30:19.6182795Z     del arg7_1
2022-11-23T01:30:19.6182865Z     return (buf0, )
2022-11-23T01:30:19.6182872Z 
2022-11-23T01:30:19.6182876Z 
2022-11-23T01:30:19.6182939Z if __name__ == "__main__":
2022-11-23T01:30:19.6183054Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6183171Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6183381Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6183574Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6183763Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6183952Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6184137Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6184314Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6184489Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6184715Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6184867Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6184872Z 
2022-11-23T01:30:19.6184876Z 
2022-11-23T01:30:19.6184972Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6185044Z import torch
2022-11-23T01:30:19.6185112Z import random
2022-11-23T01:30:19.6185223Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6185328Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6185345Z 
2022-11-23T01:30:19.6185410Z aten = torch.ops.aten
2022-11-23T01:30:19.6185539Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6185630Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6185634Z 
2022-11-23T01:30:19.6185638Z 
2022-11-23T01:30:19.6185727Z async_compile.wait(globals())
2022-11-23T01:30:19.6185826Z del async_compile
2022-11-23T01:30:19.6185831Z 
2022-11-23T01:30:19.6185900Z def call(args):
2022-11-23T01:30:19.6186015Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6186073Z     args.clear()
2022-11-23T01:30:19.6186204Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:30:19.6186314Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T01:30:19.6186383Z     del arg0_1
2022-11-23T01:30:19.6186447Z     del arg1_1
2022-11-23T01:30:19.6186513Z     del arg7_1
2022-11-23T01:30:19.6186583Z     return (buf0, )
2022-11-23T01:30:19.6186588Z 
2022-11-23T01:30:19.6186592Z 
2022-11-23T01:30:19.6186664Z if __name__ == "__main__":
2022-11-23T01:30:19.6186766Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6186913Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6187125Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6187318Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6187507Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6187693Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6187877Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6188059Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6188224Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6188448Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6188601Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6188608Z 
2022-11-23T01:30:19.6188979Z [2022-11-23 01:23:15,984] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6a3llsuycpro74cwmvio5agzgr3qjpmqljw63plljk2db4kgpx.py
2022-11-23T01:30:19.6189246Z [2022-11-23 01:23:15,985] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 104
2022-11-23T01:30:19.6189483Z [2022-11-23 01:23:15,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6189795Z [2022-11-23 01:23:15,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6190009Z [2022-11-23 01:23:15,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6190249Z [2022-11-23 01:23:15,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6190505Z [2022-11-23 01:23:15,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6190818Z [2022-11-23 01:23:15,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6191153Z [2022-11-23 01:23:15,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6191465Z [2022-11-23 01:23:15,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6191710Z [2022-11-23 01:23:16,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6191942Z [2022-11-23 01:23:16,008] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6192191Z [2022-11-23 01:23:16,009] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6192498Z [2022-11-23 01:23:16,024] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6192687Z [2022-11-23 01:23:16,024] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6192818Z  __compiled_fn_106 <eval_with_key>.900 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6192895Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6192990Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6193090Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6193095Z 
2022-11-23T01:30:19.6193417Z [2022-11-23 01:23:16,025] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6193508Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6193598Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6193713Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6193875Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6193959Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6194050Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6194125Z              12 RETURN_VALUE
2022-11-23T01:30:19.6194130Z 
2022-11-23T01:30:19.6194189Z  
2022-11-23T01:30:19.6194515Z [2022-11-23 01:23:16,025] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6194625Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_106)
2022-11-23T01:30:19.6194714Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6194791Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6194868Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6194956Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6195046Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6195129Z              12 RETURN_VALUE
2022-11-23T01:30:19.6195133Z 
2022-11-23T01:30:19.6195195Z  
2022-11-23T01:30:19.6195379Z [2022-11-23 01:23:16,026] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6195449Z  - 
2022-11-23T01:30:19.6195555Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6195617Z             {
2022-11-23T01:30:19.6195757Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6195941Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6196058Z                 'obj_weakref': None
2022-11-23T01:30:19.6196281Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6196343Z             }
2022-11-23T01:30:19.6196393Z             
2022-11-23T01:30:19.6196460Z  - 
2022-11-23T01:30:19.6196586Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6196647Z             {
2022-11-23T01:30:19.6196787Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6196893Z                 'code': None,
2022-11-23T01:30:19.6197095Z                 'obj_weakref': <weakref at 0x7ff5a87a1350; to 'Tensor' at 0x7ff59c0c68e0>
2022-11-23T01:30:19.6197344Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6197405Z             }
2022-11-23T01:30:19.6197465Z             
2022-11-23T01:30:19.6197532Z  - 
2022-11-23T01:30:19.6197649Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6197710Z             {
2022-11-23T01:30:19.6197831Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6197997Z                 'code': ['___check_obj_id(model, 140693155810752)'],
2022-11-23T01:30:19.6198215Z                 'obj_weakref': <weakref at 0x7ff58fdc2200; to 'Sequential' at 0x7ff5ad930dc0>
2022-11-23T01:30:19.6198447Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6198511Z             }
2022-11-23T01:30:19.6198573Z             
2022-11-23T01:30:19.6198639Z  - 
2022-11-23T01:30:19.6198761Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6198846Z             {
2022-11-23T01:30:19.6198982Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6199198Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6199313Z                 'obj_weakref': None
2022-11-23T01:30:19.6199529Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6199590Z             }
2022-11-23T01:30:19.6199653Z             
2022-11-23T01:30:19.6199710Z  - 
2022-11-23T01:30:19.6199853Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6199913Z             {
2022-11-23T01:30:19.6200029Z                 'guard_types': None,
2022-11-23T01:30:19.6200135Z                 'code': None,
2022-11-23T01:30:19.6200251Z                 'obj_weakref': None
2022-11-23T01:30:19.6200390Z                 'guarded_class': None
2022-11-23T01:30:19.6200451Z             }
2022-11-23T01:30:19.6200512Z             
2022-11-23T01:30:19.6200581Z  - 
2022-11-23T01:30:19.6200726Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6200788Z             {
2022-11-23T01:30:19.6200907Z                 'guard_types': None,
2022-11-23T01:30:19.6200999Z                 'code': None,
2022-11-23T01:30:19.6201114Z                 'obj_weakref': None
2022-11-23T01:30:19.6201234Z                 'guarded_class': None
2022-11-23T01:30:19.6201297Z             }
2022-11-23T01:30:19.6201362Z             
2022-11-23T01:30:19.6201622Z [2022-11-23 01:23:16,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 105
2022-11-23T01:30:19.6201992Z [2022-11-23 01:23:16,046] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm7twkgvwcern6267lpmeqdepccogokskufjadtxlimch2pd2xza.py
2022-11-23T01:30:19.6202256Z [2022-11-23 01:23:16,046] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 105
2022-11-23T01:30:19.6202482Z [2022-11-23 01:23:16,058] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6202794Z [2022-11-23 01:23:16,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6203009Z [2022-11-23 01:23:16,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6203247Z [2022-11-23 01:23:16,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6203512Z [2022-11-23 01:23:16,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6203822Z [2022-11-23 01:23:16,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6204159Z [2022-11-23 01:23:16,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6204467Z [2022-11-23 01:23:16,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6204710Z [2022-11-23 01:23:16,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6204939Z [2022-11-23 01:23:16,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6205177Z [2022-11-23 01:23:16,073] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6205424Z [2022-11-23 01:23:16,090] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6205609Z [2022-11-23 01:23:16,090] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6205747Z  __compiled_fn_107 <eval_with_key>.911 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6205835Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6205966Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6206064Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6206069Z 
2022-11-23T01:30:19.6206393Z [2022-11-23 01:23:16,091] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6206474Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6206560Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6206644Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6206734Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6206818Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6206903Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6206977Z              12 RETURN_VALUE
2022-11-23T01:30:19.6207008Z 
2022-11-23T01:30:19.6207057Z  
2022-11-23T01:30:19.6207377Z [2022-11-23 01:23:16,091] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6207483Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_107)
2022-11-23T01:30:19.6207575Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6207662Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6207738Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6207823Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6207911Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6207973Z              12 RETURN_VALUE
2022-11-23T01:30:19.6207978Z 
2022-11-23T01:30:19.6208037Z  
2022-11-23T01:30:19.6208217Z [2022-11-23 01:23:16,092] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6208285Z  - 
2022-11-23T01:30:19.6208402Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6208467Z             {
2022-11-23T01:30:19.6208605Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6208782Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6208899Z                 'obj_weakref': None
2022-11-23T01:30:19.6209120Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6209182Z             }
2022-11-23T01:30:19.6209243Z             
2022-11-23T01:30:19.6209316Z  - 
2022-11-23T01:30:19.6209440Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6209490Z             {
2022-11-23T01:30:19.6209632Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6209740Z                 'code': None,
2022-11-23T01:30:19.6209952Z                 'obj_weakref': <weakref at 0x7ff59c0c5030; to 'Tensor' at 0x7ff5a98df9c0>
2022-11-23T01:30:19.6210205Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6210273Z             }
2022-11-23T01:30:19.6210338Z             
2022-11-23T01:30:19.6210394Z  - 
2022-11-23T01:30:19.6210518Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6210583Z             {
2022-11-23T01:30:19.6210717Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6210885Z                 'code': ['___check_obj_id(model, 140693067715760)'],
2022-11-23T01:30:19.6211105Z                 'obj_weakref': <weakref at 0x7ff5a816db70; to 'Sequential' at 0x7ff5a852d4b0>
2022-11-23T01:30:19.6211338Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6211390Z             }
2022-11-23T01:30:19.6211455Z             
2022-11-23T01:30:19.6211523Z  - 
2022-11-23T01:30:19.6211644Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6211709Z             {
2022-11-23T01:30:19.6211846Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6212065Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6212173Z                 'obj_weakref': None
2022-11-23T01:30:19.6212423Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6212488Z             }
2022-11-23T01:30:19.6212551Z             
2022-11-23T01:30:19.6212622Z  - 
2022-11-23T01:30:19.6212769Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6212833Z             {
2022-11-23T01:30:19.6212940Z                 'guard_types': None,
2022-11-23T01:30:19.6213047Z                 'code': None,
2022-11-23T01:30:19.6213163Z                 'obj_weakref': None
2022-11-23T01:30:19.6213284Z                 'guarded_class': None
2022-11-23T01:30:19.6213349Z             }
2022-11-23T01:30:19.6213413Z             
2022-11-23T01:30:19.6213483Z  - 
2022-11-23T01:30:19.6213613Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6213677Z             {
2022-11-23T01:30:19.6213823Z                 'guard_types': None,
2022-11-23T01:30:19.6213930Z                 'code': None,
2022-11-23T01:30:19.6214048Z                 'obj_weakref': None
2022-11-23T01:30:19.6214172Z                 'guarded_class': None
2022-11-23T01:30:19.6214237Z             }
2022-11-23T01:30:19.6214287Z             
2022-11-23T01:30:19.6214549Z [2022-11-23 01:23:16,101] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 106
2022-11-23T01:30:19.6214917Z [2022-11-23 01:23:16,106] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyq2a3jz6qrsoqaxohd2lqiyihb2bppaqnwzzyqz5vlunxalcepq.py
2022-11-23T01:30:19.6215184Z [2022-11-23 01:23:16,106] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 106
2022-11-23T01:30:19.6215416Z [2022-11-23 01:23:16,131] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6215726Z [2022-11-23 01:23:16,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6215943Z [2022-11-23 01:23:16,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6216187Z [2022-11-23 01:23:16,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6216571Z [2022-11-23 01:23:16,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6216872Z [2022-11-23 01:23:16,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6217209Z [2022-11-23 01:23:16,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6217520Z [2022-11-23 01:23:16,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6217769Z [2022-11-23 01:23:16,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6218003Z [2022-11-23 01:23:16,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6218259Z [2022-11-23 01:23:16,146] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6218509Z [2022-11-23 01:23:16,161] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6218698Z [2022-11-23 01:23:16,161] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6218831Z  __compiled_fn_108 <eval_with_key>.922 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6218910Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6219009Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6219108Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6219114Z 
2022-11-23T01:30:19.6219437Z [2022-11-23 01:23:16,162] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6219591Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6219685Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6219771Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6219865Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6219937Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6220024Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6220098Z              12 RETURN_VALUE
2022-11-23T01:30:19.6220103Z 
2022-11-23T01:30:19.6220163Z  
2022-11-23T01:30:19.6220486Z [2022-11-23 01:23:16,162] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6220593Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_108)
2022-11-23T01:30:19.6220720Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6220810Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6220874Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6220962Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6221050Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6221125Z              12 RETURN_VALUE
2022-11-23T01:30:19.6221130Z 
2022-11-23T01:30:19.6221190Z  
2022-11-23T01:30:19.6221372Z [2022-11-23 01:23:16,163] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6221443Z  - 
2022-11-23T01:30:19.6221548Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6221609Z             {
2022-11-23T01:30:19.6221747Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6221931Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6222048Z                 'obj_weakref': None
2022-11-23T01:30:19.6222272Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6222336Z             }
2022-11-23T01:30:19.6222386Z             
2022-11-23T01:30:19.6222450Z  - 
2022-11-23T01:30:19.6222577Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6222638Z             {
2022-11-23T01:30:19.6222780Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6222886Z                 'code': None,
2022-11-23T01:30:19.6223096Z                 'obj_weakref': <weakref at 0x7ff5a81bb100; to 'Tensor' at 0x7ff5a8543ab0>
2022-11-23T01:30:19.6223336Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6223397Z             }
2022-11-23T01:30:19.6223457Z             
2022-11-23T01:30:19.6223526Z  - 
2022-11-23T01:30:19.6223643Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6223704Z             {
2022-11-23T01:30:19.6223836Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6223996Z                 'code': ['___check_obj_id(model, 140693067715760)'],
2022-11-23T01:30:19.6224216Z                 'obj_weakref': <weakref at 0x7ff5a816db70; to 'Sequential' at 0x7ff5a852d4b0>
2022-11-23T01:30:19.6224450Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6224512Z             }
2022-11-23T01:30:19.6224574Z             
2022-11-23T01:30:19.6224640Z  - 
2022-11-23T01:30:19.6224761Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6224811Z             {
2022-11-23T01:30:19.6224945Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6225162Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6225278Z                 'obj_weakref': None
2022-11-23T01:30:19.6225495Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6225556Z             }
2022-11-23T01:30:19.6225618Z             
2022-11-23T01:30:19.6225676Z  - 
2022-11-23T01:30:19.6225818Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6225878Z             {
2022-11-23T01:30:19.6226031Z                 'guard_types': None,
2022-11-23T01:30:19.6226136Z                 'code': None,
2022-11-23T01:30:19.6226252Z                 'obj_weakref': None
2022-11-23T01:30:19.6226373Z                 'guarded_class': None
2022-11-23T01:30:19.6226423Z             }
2022-11-23T01:30:19.6226483Z             
2022-11-23T01:30:19.6226549Z  - 
2022-11-23T01:30:19.6226691Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6226751Z             {
2022-11-23T01:30:19.6226867Z                 'guard_types': None,
2022-11-23T01:30:19.6226959Z                 'code': None,
2022-11-23T01:30:19.6227075Z                 'obj_weakref': None
2022-11-23T01:30:19.6227192Z                 'guarded_class': None
2022-11-23T01:30:19.6227254Z             }
2022-11-23T01:30:19.6227315Z             
2022-11-23T01:30:19.6227602Z [2022-11-23 01:23:16,173] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 107
2022-11-23T01:30:19.6227608Z 
2022-11-23T01:30:19.6227701Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6227768Z import torch
2022-11-23T01:30:19.6227824Z import random
2022-11-23T01:30:19.6227935Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6228053Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6228058Z 
2022-11-23T01:30:19.6228133Z aten = torch.ops.aten
2022-11-23T01:30:19.6228264Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6228353Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6228358Z 
2022-11-23T01:30:19.6228362Z 
2022-11-23T01:30:19.6228448Z async_compile.wait(globals())
2022-11-23T01:30:19.6228506Z del async_compile
2022-11-23T01:30:19.6228522Z 
2022-11-23T01:30:19.6228579Z def call(args):
2022-11-23T01:30:19.6228696Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6228770Z     args.clear()
2022-11-23T01:30:19.6228903Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.6229014Z     assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1))
2022-11-23T01:30:19.6229080Z     del arg0_1
2022-11-23T01:30:19.6229144Z     del arg1_1
2022-11-23T01:30:19.6229198Z     del arg7_1
2022-11-23T01:30:19.6229267Z     return (buf0, )
2022-11-23T01:30:19.6229272Z 
2022-11-23T01:30:19.6229276Z 
2022-11-23T01:30:19.6229350Z if __name__ == "__main__":
2022-11-23T01:30:19.6229463Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6229583Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6229794Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6229988Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6230176Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6230352Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6230540Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6230725Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6230902Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6231123Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6231277Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6231282Z 
2022-11-23T01:30:19.6231286Z 
2022-11-23T01:30:19.6231380Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6231447Z import torch
2022-11-23T01:30:19.6231504Z import random
2022-11-23T01:30:19.6231616Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6231735Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6231739Z 
2022-11-23T01:30:19.6231814Z aten = torch.ops.aten
2022-11-23T01:30:19.6231972Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6232063Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6232068Z 
2022-11-23T01:30:19.6232072Z 
2022-11-23T01:30:19.6232203Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6232405Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6232511Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6232609Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6232669Z {
2022-11-23T01:30:19.6232765Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6232824Z     {
2022-11-23T01:30:19.6232899Z         #pragma omp for 
2022-11-23T01:30:19.6232978Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.6233029Z         {
2022-11-23T01:30:19.6233136Z             #pragma GCC ivdep
2022-11-23T01:30:19.6233217Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.6233278Z             {
2022-11-23T01:30:19.6233359Z                 #pragma GCC ivdep
2022-11-23T01:30:19.6233447Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:30:19.6233511Z                 {
2022-11-23T01:30:19.6233565Z                     {
2022-11-23T01:30:19.6233631Z                         {
2022-11-23T01:30:19.6233738Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:30:19.6233924Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:30:19.6233993Z                         }
2022-11-23T01:30:19.6234061Z                     }
2022-11-23T01:30:19.6234124Z                 }
2022-11-23T01:30:19.6234175Z             }
2022-11-23T01:30:19.6234236Z         }
2022-11-23T01:30:19.6234298Z     }
2022-11-23T01:30:19.6234357Z }
2022-11-23T01:30:19.6234438Z ''')
2022-11-23T01:30:19.6234445Z 
2022-11-23T01:30:19.6234450Z 
2022-11-23T01:30:19.6234538Z async_compile.wait(globals())
2022-11-23T01:30:19.6234597Z del async_compile
2022-11-23T01:30:19.6234613Z 
2022-11-23T01:30:19.6234670Z def call(args):
2022-11-23T01:30:19.6234791Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6234861Z     args.clear()
2022-11-23T01:30:19.6235071Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6235205Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6235273Z     del arg0_1
2022-11-23T01:30:19.6235407Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.6235504Z     assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32))
2022-11-23T01:30:19.6235570Z     del arg1_1
2022-11-23T01:30:19.6235634Z     del arg7_1
2022-11-23T01:30:19.6235708Z     return (buf1, )
2022-11-23T01:30:19.6235713Z 
2022-11-23T01:30:19.6235719Z 
2022-11-23T01:30:19.6235793Z if __name__ == "__main__":
2022-11-23T01:30:19.6235906Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6236029Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6236237Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6236415Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6236605Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6236788Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6236971Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6237153Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6237329Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6237543Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6237732Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6237739Z 
2022-11-23T01:30:19.6237743Z 
2022-11-23T01:30:19.6237828Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6237896Z import torch
2022-11-23T01:30:19.6237964Z import random
2022-11-23T01:30:19.6238077Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6238193Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6238197Z 
2022-11-23T01:30:19.6238273Z aten = torch.ops.aten
2022-11-23T01:30:19.6238404Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6238492Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6238497Z 
2022-11-23T01:30:19.6238502Z 
2022-11-23T01:30:19.6238576Z async_compile.wait(globals())
2022-11-23T01:30:19.6238647Z del async_compile
2022-11-23T01:30:19.6238652Z 
2022-11-23T01:30:19.6238749Z def call(args):
2022-11-23T01:30:19.6238864Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6238934Z     args.clear()
2022-11-23T01:30:19.6239069Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:30:19.6239179Z     assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1))
2022-11-23T01:30:19.6239249Z     del arg0_1
2022-11-23T01:30:19.6239305Z     del arg1_1
2022-11-23T01:30:19.6239369Z     del arg7_1
2022-11-23T01:30:19.6239440Z     return (buf0, )
2022-11-23T01:30:19.6239445Z 
2022-11-23T01:30:19.6239450Z 
2022-11-23T01:30:19.6239524Z if __name__ == "__main__":
2022-11-23T01:30:19.6239634Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6239753Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6239966Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6240148Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6240336Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6240529Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6240716Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6240900Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6241076Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6241295Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6241450Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6241455Z 
2022-11-23T01:30:19.6241825Z [2022-11-23 01:23:16,184] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dm/cdmsqhbjm4su75pxsaybvry37ojfvoe3os3ye7j2skwrk2wc5nrs.py
2022-11-23T01:30:19.6242080Z [2022-11-23 01:23:16,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 107
2022-11-23T01:30:19.6242319Z [2022-11-23 01:23:16,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6242629Z [2022-11-23 01:23:16,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6242846Z [2022-11-23 01:23:16,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6243088Z [2022-11-23 01:23:16,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6243355Z [2022-11-23 01:23:16,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6243666Z [2022-11-23 01:23:16,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6244032Z [2022-11-23 01:23:16,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6244343Z [2022-11-23 01:23:16,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6244586Z [2022-11-23 01:23:16,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6244806Z [2022-11-23 01:23:16,220] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6245057Z [2022-11-23 01:23:16,221] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6245304Z [2022-11-23 01:23:16,236] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6245519Z [2022-11-23 01:23:16,237] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6245648Z  __compiled_fn_109 <eval_with_key>.933 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6245737Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6245835Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6245933Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6245938Z 
2022-11-23T01:30:19.6246249Z [2022-11-23 01:23:16,237] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6246341Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6246429Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6246512Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6246603Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6246686Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6246771Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6246847Z              12 RETURN_VALUE
2022-11-23T01:30:19.6246852Z 
2022-11-23T01:30:19.6246900Z  
2022-11-23T01:30:19.6247221Z [2022-11-23 01:23:16,237] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6247327Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_109)
2022-11-23T01:30:19.6247414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6247501Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6247578Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6247665Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6247743Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6247819Z              12 RETURN_VALUE
2022-11-23T01:30:19.6247824Z 
2022-11-23T01:30:19.6247885Z  
2022-11-23T01:30:19.6248069Z [2022-11-23 01:23:16,238] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6248140Z  - 
2022-11-23T01:30:19.6248259Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6248323Z             {
2022-11-23T01:30:19.6248465Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6248642Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6248761Z                 'obj_weakref': None
2022-11-23T01:30:19.6248989Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6249052Z             }
2022-11-23T01:30:19.6249116Z             
2022-11-23T01:30:19.6249187Z  - 
2022-11-23T01:30:19.6249311Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6249363Z             {
2022-11-23T01:30:19.6249506Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6249613Z                 'code': None,
2022-11-23T01:30:19.6249826Z                 'obj_weakref': <weakref at 0x7ff5a8079a30; to 'Tensor' at 0x7ff5a807a930>
2022-11-23T01:30:19.6250082Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6250149Z             }
2022-11-23T01:30:19.6250213Z             
2022-11-23T01:30:19.6250300Z  - 
2022-11-23T01:30:19.6250422Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6250485Z             {
2022-11-23T01:30:19.6250620Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6250792Z                 'code': ['___check_obj_id(model, 140693062859936)'],
2022-11-23T01:30:19.6251016Z                 'obj_weakref': <weakref at 0x7ff5a81b9ee0; to 'Sequential' at 0x7ff5a808bca0>
2022-11-23T01:30:19.6251252Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6251303Z             }
2022-11-23T01:30:19.6251367Z             
2022-11-23T01:30:19.6251439Z  - 
2022-11-23T01:30:19.6251561Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6251625Z             {
2022-11-23T01:30:19.6251762Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6252009Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6252119Z                 'obj_weakref': None
2022-11-23T01:30:19.6252341Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6252404Z             }
2022-11-23T01:30:19.6252469Z             
2022-11-23T01:30:19.6252539Z  - 
2022-11-23T01:30:19.6252686Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6252749Z             {
2022-11-23T01:30:19.6252854Z                 'guard_types': None,
2022-11-23T01:30:19.6252960Z                 'code': None,
2022-11-23T01:30:19.6253078Z                 'obj_weakref': None
2022-11-23T01:30:19.6253199Z                 'guarded_class': None
2022-11-23T01:30:19.6253266Z             }
2022-11-23T01:30:19.6253330Z             
2022-11-23T01:30:19.6253385Z  - 
2022-11-23T01:30:19.6253531Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6253598Z             {
2022-11-23T01:30:19.6253718Z                 'guard_types': None,
2022-11-23T01:30:19.6253826Z                 'code': None,
2022-11-23T01:30:19.6253946Z                 'obj_weakref': None
2022-11-23T01:30:19.6254066Z                 'guarded_class': None
2022-11-23T01:30:19.6254115Z             }
2022-11-23T01:30:19.6254176Z             
2022-11-23T01:30:19.6254437Z [2022-11-23 01:23:16,247] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 108
2022-11-23T01:30:19.6254804Z [2022-11-23 01:23:16,252] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpofneny2ajd45ioooxtnvui67q6i5li2x7zvcb7t5jcd6wj47fn.py
2022-11-23T01:30:19.6255066Z [2022-11-23 01:23:16,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 108
2022-11-23T01:30:19.6255299Z [2022-11-23 01:23:16,261] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6255613Z [2022-11-23 01:23:16,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6255833Z [2022-11-23 01:23:16,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6256073Z [2022-11-23 01:23:16,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6256328Z [2022-11-23 01:23:16,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6256756Z [2022-11-23 01:23:16,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6257094Z [2022-11-23 01:23:16,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6257408Z [2022-11-23 01:23:16,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6257713Z [2022-11-23 01:23:16,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6257948Z [2022-11-23 01:23:16,275] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6258200Z [2022-11-23 01:23:16,275] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6258451Z [2022-11-23 01:23:16,290] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6258637Z [2022-11-23 01:23:16,290] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6258767Z  __compiled_fn_110 <eval_with_key>.944 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6258843Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6258942Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6259081Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6259088Z 
2022-11-23T01:30:19.6259418Z [2022-11-23 01:23:16,291] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6259510Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6259600Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6259684Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6259763Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6259845Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6259933Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6260007Z              12 RETURN_VALUE
2022-11-23T01:30:19.6260012Z 
2022-11-23T01:30:19.6260071Z  
2022-11-23T01:30:19.6260389Z [2022-11-23 01:23:16,291] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6260500Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_110)
2022-11-23T01:30:19.6260590Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6260669Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6260743Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6260831Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6260919Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6260992Z              12 RETURN_VALUE
2022-11-23T01:30:19.6260996Z 
2022-11-23T01:30:19.6261055Z  
2022-11-23T01:30:19.6261235Z [2022-11-23 01:23:16,292] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6261291Z  - 
2022-11-23T01:30:19.6261407Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6261469Z             {
2022-11-23T01:30:19.6261609Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6261793Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6261909Z                 'obj_weakref': None
2022-11-23T01:30:19.6262135Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6262186Z             }
2022-11-23T01:30:19.6262250Z             
2022-11-23T01:30:19.6262317Z  - 
2022-11-23T01:30:19.6262439Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6262499Z             {
2022-11-23T01:30:19.6262639Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6262743Z                 'code': None,
2022-11-23T01:30:19.6262946Z                 'obj_weakref': <weakref at 0x7ff59c1ee6b0; to 'Tensor' at 0x7ff5a83e3470>
2022-11-23T01:30:19.6263196Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6263258Z             }
2022-11-23T01:30:19.6263320Z             
2022-11-23T01:30:19.6263387Z  - 
2022-11-23T01:30:19.6263505Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6263564Z             {
2022-11-23T01:30:19.6263686Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6263853Z                 'code': ['___check_obj_id(model, 140693062859936)'],
2022-11-23T01:30:19.6264115Z                 'obj_weakref': <weakref at 0x7ff5a81b9ee0; to 'Sequential' at 0x7ff5a808bca0>
2022-11-23T01:30:19.6264350Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6264413Z             }
2022-11-23T01:30:19.6264476Z             
2022-11-23T01:30:19.6264542Z  - 
2022-11-23T01:30:19.6264650Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6264710Z             {
2022-11-23T01:30:19.6264844Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6265063Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6265178Z                 'obj_weakref': None
2022-11-23T01:30:19.6265399Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6265490Z             }
2022-11-23T01:30:19.6265540Z             
2022-11-23T01:30:19.6265609Z  - 
2022-11-23T01:30:19.6265753Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6265818Z             {
2022-11-23T01:30:19.6265938Z                 'guard_types': None,
2022-11-23T01:30:19.6266043Z                 'code': None,
2022-11-23T01:30:19.6266161Z                 'obj_weakref': None
2022-11-23T01:30:19.6266271Z                 'guarded_class': None
2022-11-23T01:30:19.6266333Z             }
2022-11-23T01:30:19.6266395Z             
2022-11-23T01:30:19.6266461Z  - 
2022-11-23T01:30:19.6266602Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6266663Z             {
2022-11-23T01:30:19.6266780Z                 'guard_types': None,
2022-11-23T01:30:19.6266871Z                 'code': None,
2022-11-23T01:30:19.6266988Z                 'obj_weakref': None
2022-11-23T01:30:19.6267108Z                 'guarded_class': None
2022-11-23T01:30:19.6267172Z             }
2022-11-23T01:30:19.6267233Z             
2022-11-23T01:30:19.6267493Z [2022-11-23 01:23:16,301] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 109
2022-11-23T01:30:19.6267861Z [2022-11-23 01:23:16,311] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuipih7pf3lvp3pbk4g5kigatr5l2wfnrs233pvvjgwj6vzz6kni.py
2022-11-23T01:30:19.6268114Z [2022-11-23 01:23:16,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 109
2022-11-23T01:30:19.6268348Z [2022-11-23 01:23:16,324] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6268661Z [2022-11-23 01:23:16,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6268874Z [2022-11-23 01:23:16,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6269117Z [2022-11-23 01:23:16,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6269386Z [2022-11-23 01:23:16,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6269699Z [2022-11-23 01:23:16,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6270034Z [2022-11-23 01:23:16,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6270345Z [2022-11-23 01:23:16,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6270591Z [2022-11-23 01:23:16,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6270810Z [2022-11-23 01:23:16,338] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6271061Z [2022-11-23 01:23:16,339] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6271335Z [2022-11-23 01:23:16,355] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6271524Z [2022-11-23 01:23:16,356] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6271656Z  __compiled_fn_111 <eval_with_key>.955 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6271743Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6271839Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6271936Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6271941Z 
2022-11-23T01:30:19.6272263Z [2022-11-23 01:23:16,356] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6272344Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6272463Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6272548Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6272643Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6272726Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6272813Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6272887Z              12 RETURN_VALUE
2022-11-23T01:30:19.6272892Z 
2022-11-23T01:30:19.6272941Z  
2022-11-23T01:30:19.6273262Z [2022-11-23 01:23:16,356] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6273369Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_111)
2022-11-23T01:30:19.6273457Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6273544Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6273619Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6273707Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6273860Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6273928Z              12 RETURN_VALUE
2022-11-23T01:30:19.6273934Z 
2022-11-23T01:30:19.6273997Z  
2022-11-23T01:30:19.6274181Z [2022-11-23 01:23:16,357] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6274250Z  - 
2022-11-23T01:30:19.6274369Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6274432Z             {
2022-11-23T01:30:19.6274572Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6274745Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6274862Z                 'obj_weakref': None
2022-11-23T01:30:19.6275095Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6275159Z             }
2022-11-23T01:30:19.6275221Z             
2022-11-23T01:30:19.6275293Z  - 
2022-11-23T01:30:19.6275416Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6275469Z             {
2022-11-23T01:30:19.6275608Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6275712Z                 'code': None,
2022-11-23T01:30:19.6275932Z                 'obj_weakref': <weakref at 0x7ff5a816cb30; to 'Tensor' at 0x7ff5a833b880>
2022-11-23T01:30:19.6276187Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6276249Z             }
2022-11-23T01:30:19.6276309Z             
2022-11-23T01:30:19.6276364Z  - 
2022-11-23T01:30:19.6276481Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6276544Z             {
2022-11-23T01:30:19.6276676Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6276846Z                 'code': ['___check_obj_id(model, 140692657572448)'],
2022-11-23T01:30:19.6277064Z                 'obj_weakref': <weakref at 0x7ff59c02a160; to 'Sequential' at 0x7ff58fe08a60>
2022-11-23T01:30:19.6277297Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6277349Z             }
2022-11-23T01:30:19.6277410Z             
2022-11-23T01:30:19.6277478Z  - 
2022-11-23T01:30:19.6277640Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6277705Z             {
2022-11-23T01:30:19.6277840Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6278056Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6278162Z                 'obj_weakref': None
2022-11-23T01:30:19.6278382Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6278445Z             }
2022-11-23T01:30:19.6278506Z             
2022-11-23T01:30:19.6278573Z  - 
2022-11-23T01:30:19.6278716Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6278780Z             {
2022-11-23T01:30:19.6278886Z                 'guard_types': None,
2022-11-23T01:30:19.6279022Z                 'code': None,
2022-11-23T01:30:19.6279137Z                 'obj_weakref': None
2022-11-23T01:30:19.6279256Z                 'guarded_class': None
2022-11-23T01:30:19.6279318Z             }
2022-11-23T01:30:19.6279382Z             
2022-11-23T01:30:19.6279449Z  - 
2022-11-23T01:30:19.6279577Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6279639Z             {
2022-11-23T01:30:19.6279756Z                 'guard_types': None,
2022-11-23T01:30:19.6279860Z                 'code': None,
2022-11-23T01:30:19.6279976Z                 'obj_weakref': None
2022-11-23T01:30:19.6280095Z                 'guarded_class': None
2022-11-23T01:30:19.6280145Z             }
2022-11-23T01:30:19.6280206Z             
2022-11-23T01:30:19.6280467Z [2022-11-23 01:23:16,366] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 110
2022-11-23T01:30:19.6280472Z 
2022-11-23T01:30:19.6280563Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6280629Z import torch
2022-11-23T01:30:19.6280699Z import random
2022-11-23T01:30:19.6280815Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6280936Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6280944Z 
2022-11-23T01:30:19.6281010Z aten = torch.ops.aten
2022-11-23T01:30:19.6281141Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6281231Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6281236Z 
2022-11-23T01:30:19.6281241Z 
2022-11-23T01:30:19.6281376Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6281579Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6281698Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6281795Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6281856Z {
2022-11-23T01:30:19.6281940Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6282000Z     {
2022-11-23T01:30:19.6282074Z         #pragma omp for 
2022-11-23T01:30:19.6282157Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.6282220Z         {
2022-11-23T01:30:19.6282298Z             #pragma GCC ivdep
2022-11-23T01:30:19.6282368Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.6282430Z             {
2022-11-23T01:30:19.6282509Z                 #pragma GCC ivdep
2022-11-23T01:30:19.6282597Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:30:19.6282661Z                 {
2022-11-23T01:30:19.6282725Z                     {
2022-11-23T01:30:19.6282792Z                         {
2022-11-23T01:30:19.6282888Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:30:19.6282990Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:30:19.6283056Z                         }
2022-11-23T01:30:19.6283123Z                     }
2022-11-23T01:30:19.6283187Z                 }
2022-11-23T01:30:19.6283253Z             }
2022-11-23T01:30:19.6283312Z         }
2022-11-23T01:30:19.6283364Z     }
2022-11-23T01:30:19.6283424Z }
2022-11-23T01:30:19.6283499Z ''')
2022-11-23T01:30:19.6283505Z 
2022-11-23T01:30:19.6283509Z 
2022-11-23T01:30:19.6283630Z async_compile.wait(globals())
2022-11-23T01:30:19.6283703Z del async_compile
2022-11-23T01:30:19.6283708Z 
2022-11-23T01:30:19.6283776Z def call(args):
2022-11-23T01:30:19.6283894Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6283953Z     args.clear()
2022-11-23T01:30:19.6284164Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6284294Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6284362Z     del arg0_1
2022-11-23T01:30:19.6284494Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:30:19.6284602Z     assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2022-11-23T01:30:19.6284669Z     del arg1_1
2022-11-23T01:30:19.6284765Z     del arg7_1
2022-11-23T01:30:19.6284824Z     return (buf1, )
2022-11-23T01:30:19.6284829Z 
2022-11-23T01:30:19.6284834Z 
2022-11-23T01:30:19.6284909Z if __name__ == "__main__":
2022-11-23T01:30:19.6285032Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6285153Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6285365Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6285563Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6285757Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6285948Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6286121Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6286307Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6286489Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6286715Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6286871Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6286877Z 
2022-11-23T01:30:19.6286881Z 
2022-11-23T01:30:19.6286978Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6287050Z import torch
2022-11-23T01:30:19.6287121Z import random
2022-11-23T01:30:19.6287224Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6287345Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6287350Z 
2022-11-23T01:30:19.6287429Z aten = torch.ops.aten
2022-11-23T01:30:19.6287561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6287654Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6287659Z 
2022-11-23T01:30:19.6287663Z 
2022-11-23T01:30:19.6287753Z async_compile.wait(globals())
2022-11-23T01:30:19.6287828Z del async_compile
2022-11-23T01:30:19.6287833Z 
2022-11-23T01:30:19.6287903Z def call(args):
2022-11-23T01:30:19.6288012Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6288084Z     args.clear()
2022-11-23T01:30:19.6288218Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:30:19.6288330Z     assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1))
2022-11-23T01:30:19.6288398Z     del arg0_1
2022-11-23T01:30:19.6288466Z     del arg1_1
2022-11-23T01:30:19.6288533Z     del arg7_1
2022-11-23T01:30:19.6288592Z     return (buf0, )
2022-11-23T01:30:19.6288596Z 
2022-11-23T01:30:19.6288614Z 
2022-11-23T01:30:19.6288678Z if __name__ == "__main__":
2022-11-23T01:30:19.6288792Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6288915Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6289130Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6289353Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6289544Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6289733Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6289906Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6290091Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6290269Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6290494Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6290650Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6290713Z 
2022-11-23T01:30:19.6290718Z 
2022-11-23T01:30:19.6290812Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6290887Z import torch
2022-11-23T01:30:19.6290957Z import random
2022-11-23T01:30:19.6291061Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6291184Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6291188Z 
2022-11-23T01:30:19.6291270Z aten = torch.ops.aten
2022-11-23T01:30:19.6291407Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6291502Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6291506Z 
2022-11-23T01:30:19.6291511Z 
2022-11-23T01:30:19.6291644Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6291852Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6291971Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6292073Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6292150Z {
2022-11-23T01:30:19.6292289Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6292384Z     {
2022-11-23T01:30:19.6292473Z         #pragma omp for 
2022-11-23T01:30:19.6292598Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.6292692Z         {
2022-11-23T01:30:19.6292800Z             #pragma GCC ivdep
2022-11-23T01:30:19.6292916Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.6293010Z             {
2022-11-23T01:30:19.6293129Z                 #pragma GCC ivdep
2022-11-23T01:30:19.6293231Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:30:19.6293297Z                 {
2022-11-23T01:30:19.6293361Z                     {
2022-11-23T01:30:19.6293417Z                         {
2022-11-23T01:30:19.6293525Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:30:19.6293626Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:30:19.6293695Z                         }
2022-11-23T01:30:19.6293761Z                     }
2022-11-23T01:30:19.6293828Z                 }
2022-11-23T01:30:19.6293891Z             }
2022-11-23T01:30:19.6293939Z         }
2022-11-23T01:30:19.6293997Z     }
2022-11-23T01:30:19.6294055Z }
2022-11-23T01:30:19.6294143Z ''')
2022-11-23T01:30:19.6294149Z 
2022-11-23T01:30:19.6294153Z 
2022-11-23T01:30:19.6294241Z async_compile.wait(globals())
2022-11-23T01:30:19.6294312Z del async_compile
2022-11-23T01:30:19.6294316Z 
2022-11-23T01:30:19.6294384Z def call(args):
2022-11-23T01:30:19.6294489Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6294558Z     args.clear()
2022-11-23T01:30:19.6294769Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6294902Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6294968Z     del arg0_1
2022-11-23T01:30:19.6295099Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:30:19.6295212Z     assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32))
2022-11-23T01:30:19.6295278Z     del arg1_1
2022-11-23T01:30:19.6295331Z     del arg7_1
2022-11-23T01:30:19.6295443Z     return (buf1, )
2022-11-23T01:30:19.6295449Z 
2022-11-23T01:30:19.6295453Z 
2022-11-23T01:30:19.6295529Z if __name__ == "__main__":
2022-11-23T01:30:19.6295642Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6295762Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6295973Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6296168Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6296359Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6296679Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6296868Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6297115Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6297296Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6297514Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6297668Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6297674Z 
2022-11-23T01:30:19.6298044Z [2022-11-23 01:23:16,371] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxec6yir6b6x6lsmc4vmbpkgi5lynb4y3cbnvny5x3v6ltg4pidv.py
2022-11-23T01:30:19.6298311Z [2022-11-23 01:23:16,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 110
2022-11-23T01:30:19.6298547Z [2022-11-23 01:23:16,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6298848Z [2022-11-23 01:23:16,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6299070Z [2022-11-23 01:23:16,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6299314Z [2022-11-23 01:23:16,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6299582Z [2022-11-23 01:23:16,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6299897Z [2022-11-23 01:23:16,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6300233Z [2022-11-23 01:23:16,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6300542Z [2022-11-23 01:23:16,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6300790Z [2022-11-23 01:23:16,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6301023Z [2022-11-23 01:23:16,410] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6301263Z [2022-11-23 01:23:16,411] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6301509Z [2022-11-23 01:23:16,427] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6301697Z [2022-11-23 01:23:16,427] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6301828Z  __compiled_fn_112 <eval_with_key>.966 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6301916Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6302013Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6302111Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6302119Z 
2022-11-23T01:30:19.6302478Z [2022-11-23 01:23:16,428] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6302576Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6302658Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6302742Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6302833Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6302916Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6303002Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6303076Z              12 RETURN_VALUE
2022-11-23T01:30:19.6303081Z 
2022-11-23T01:30:19.6303140Z  
2022-11-23T01:30:19.6303449Z [2022-11-23 01:23:16,428] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6303558Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_112)
2022-11-23T01:30:19.6303675Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6303763Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6303840Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6303927Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6304014Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6304087Z              12 RETURN_VALUE
2022-11-23T01:30:19.6304092Z 
2022-11-23T01:30:19.6304139Z  
2022-11-23T01:30:19.6304320Z [2022-11-23 01:23:16,428] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6304390Z  - 
2022-11-23T01:30:19.6304506Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6304569Z             {
2022-11-23T01:30:19.6304707Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6304889Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6304996Z                 'obj_weakref': None
2022-11-23T01:30:19.6305222Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6305286Z             }
2022-11-23T01:30:19.6305348Z             
2022-11-23T01:30:19.6305416Z  - 
2022-11-23T01:30:19.6305537Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6305599Z             {
2022-11-23T01:30:19.6305729Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6305832Z                 'code': None,
2022-11-23T01:30:19.6306044Z                 'obj_weakref': <weakref at 0x7ff59c14e4d0; to 'Tensor' at 0x7ff5ad97ad90>
2022-11-23T01:30:19.6306301Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6306363Z             }
2022-11-23T01:30:19.6306425Z             
2022-11-23T01:30:19.6306492Z  - 
2022-11-23T01:30:19.6306597Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6306658Z             {
2022-11-23T01:30:19.6306791Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6306961Z                 'code': ['___check_obj_id(model, 140692657572448)'],
2022-11-23T01:30:19.6307181Z                 'obj_weakref': <weakref at 0x7ff59c02a160; to 'Sequential' at 0x7ff58fe08a60>
2022-11-23T01:30:19.6307416Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6307478Z             }
2022-11-23T01:30:19.6307528Z             
2022-11-23T01:30:19.6307595Z  - 
2022-11-23T01:30:19.6307716Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6307779Z             {
2022-11-23T01:30:19.6307913Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6308132Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6308249Z                 'obj_weakref': None
2022-11-23T01:30:19.6308454Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6308519Z             }
2022-11-23T01:30:19.6308580Z             
2022-11-23T01:30:19.6308647Z  - 
2022-11-23T01:30:19.6308790Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6308851Z             {
2022-11-23T01:30:19.6309012Z                 'guard_types': None,
2022-11-23T01:30:19.6309108Z                 'code': None,
2022-11-23T01:30:19.6309223Z                 'obj_weakref': None
2022-11-23T01:30:19.6309344Z                 'guarded_class': None
2022-11-23T01:30:19.6309405Z             }
2022-11-23T01:30:19.6309466Z             
2022-11-23T01:30:19.6309532Z  - 
2022-11-23T01:30:19.6309662Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6309722Z             {
2022-11-23T01:30:19.6309839Z                 'guard_types': None,
2022-11-23T01:30:19.6309941Z                 'code': None,
2022-11-23T01:30:19.6310057Z                 'obj_weakref': None
2022-11-23T01:30:19.6310175Z                 'guarded_class': None
2022-11-23T01:30:19.6310235Z             }
2022-11-23T01:30:19.6310315Z             
2022-11-23T01:30:19.6310577Z [2022-11-23 01:23:16,439] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 111
2022-11-23T01:30:19.6310951Z [2022-11-23 01:23:16,450] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fr/cfr2e4xesehmsc6amykaufpyuhvaqrlddzrpe5vdgtbtpql62nfz.py
2022-11-23T01:30:19.6311212Z [2022-11-23 01:23:16,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 111
2022-11-23T01:30:19.6311449Z [2022-11-23 01:23:16,482] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6311762Z [2022-11-23 01:23:16,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6311975Z [2022-11-23 01:23:16,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6312213Z [2022-11-23 01:23:16,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6312482Z [2022-11-23 01:23:16,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6312781Z [2022-11-23 01:23:16,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6313116Z [2022-11-23 01:23:16,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6313423Z [2022-11-23 01:23:16,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6313663Z [2022-11-23 01:23:16,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6313971Z [2022-11-23 01:23:16,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6314228Z [2022-11-23 01:23:16,498] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6314479Z [2022-11-23 01:23:16,517] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6314666Z [2022-11-23 01:23:16,517] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6314798Z  __compiled_fn_113 <eval_with_key>.977 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6314887Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6314973Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6315071Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6315076Z 
2022-11-23T01:30:19.6315398Z [2022-11-23 01:23:16,517] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6315491Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6315581Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6315669Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6315760Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6315885Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6315963Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6316037Z              12 RETURN_VALUE
2022-11-23T01:30:19.6316042Z 
2022-11-23T01:30:19.6316102Z  
2022-11-23T01:30:19.6316421Z [2022-11-23 01:23:16,517] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6316528Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_113)
2022-11-23T01:30:19.6316616Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6316704Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6316768Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6316853Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6316978Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6317055Z              12 RETURN_VALUE
2022-11-23T01:30:19.6317060Z 
2022-11-23T01:30:19.6317120Z  
2022-11-23T01:30:19.6317302Z [2022-11-23 01:23:16,518] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6317369Z  - 
2022-11-23T01:30:19.6317475Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6317536Z             {
2022-11-23T01:30:19.6317675Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6317860Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6317977Z                 'obj_weakref': None
2022-11-23T01:30:19.6318200Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6318263Z             }
2022-11-23T01:30:19.6318313Z             
2022-11-23T01:30:19.6318381Z  - 
2022-11-23T01:30:19.6318504Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6318565Z             {
2022-11-23T01:30:19.6318707Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6318810Z                 'code': None,
2022-11-23T01:30:19.6319023Z                 'obj_weakref': <weakref at 0x7ff5a8073ce0; to 'Tensor' at 0x7ff5a8071580>
2022-11-23T01:30:19.6319264Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6319326Z             }
2022-11-23T01:30:19.6319387Z             
2022-11-23T01:30:19.6319457Z  - 
2022-11-23T01:30:19.6319573Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6319634Z             {
2022-11-23T01:30:19.6319766Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6319919Z                 'code': ['___check_obj_id(model, 140693064517088)'],
2022-11-23T01:30:19.6320139Z                 'obj_weakref': <weakref at 0x7ff5a8072de0; to 'Sequential' at 0x7ff5a82205e0>
2022-11-23T01:30:19.6320369Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6320434Z             }
2022-11-23T01:30:19.6320497Z             
2022-11-23T01:30:19.6320564Z  - 
2022-11-23T01:30:19.6320686Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6320737Z             {
2022-11-23T01:30:19.6320873Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6321089Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6321205Z                 'obj_weakref': None
2022-11-23T01:30:19.6321423Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6321485Z             }
2022-11-23T01:30:19.6321546Z             
2022-11-23T01:30:19.6321601Z  - 
2022-11-23T01:30:19.6321744Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6321805Z             {
2022-11-23T01:30:19.6321923Z                 'guard_types': None,
2022-11-23T01:30:19.6322028Z                 'code': None,
2022-11-23T01:30:19.6322146Z                 'obj_weakref': None
2022-11-23T01:30:19.6322265Z                 'guarded_class': None
2022-11-23T01:30:19.6322315Z             }
2022-11-23T01:30:19.6322375Z             
2022-11-23T01:30:19.6322474Z  - 
2022-11-23T01:30:19.6322619Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6322680Z             {
2022-11-23T01:30:19.6322796Z                 'guard_types': None,
2022-11-23T01:30:19.6322900Z                 'code': None,
2022-11-23T01:30:19.6323004Z                 'obj_weakref': None
2022-11-23T01:30:19.6323123Z                 'guarded_class': None
2022-11-23T01:30:19.6323185Z             }
2022-11-23T01:30:19.6323246Z             
2022-11-23T01:30:19.6323505Z [2022-11-23 01:23:16,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 112
2022-11-23T01:30:19.6323890Z [2022-11-23 01:23:16,534] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gh/cgh3iyyxa3iigurde7dsrbh6zfffru6hndv4r4lpimbdqdceqb75.py
2022-11-23T01:30:19.6324182Z [2022-11-23 01:23:16,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 112
2022-11-23T01:30:19.6324422Z [2022-11-23 01:23:16,666] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6324723Z [2022-11-23 01:23:16,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6324940Z [2022-11-23 01:23:16,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6325180Z [2022-11-23 01:23:16,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6325449Z [2022-11-23 01:23:16,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6325764Z [2022-11-23 01:23:16,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6326104Z [2022-11-23 01:23:16,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6326417Z [2022-11-23 01:23:16,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6326661Z [2022-11-23 01:23:16,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6326894Z [2022-11-23 01:23:16,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6327145Z [2022-11-23 01:23:16,683] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6327379Z [2022-11-23 01:23:16,701] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6327567Z [2022-11-23 01:23:16,702] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6327702Z  __compiled_fn_114 <eval_with_key>.988 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6327792Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6327894Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6327994Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6327999Z 
2022-11-23T01:30:19.6328328Z [2022-11-23 01:23:16,702] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6328425Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6328502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6328589Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6328680Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6328765Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6328854Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6328934Z              12 RETURN_VALUE
2022-11-23T01:30:19.6328939Z 
2022-11-23T01:30:19.6329001Z  
2022-11-23T01:30:19.6329341Z [2022-11-23 01:23:16,702] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6329452Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_114)
2022-11-23T01:30:19.6329541Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6329633Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6329711Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6329800Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6329894Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6329970Z              12 RETURN_VALUE
2022-11-23T01:30:19.6329974Z 
2022-11-23T01:30:19.6330023Z  
2022-11-23T01:30:19.6330206Z [2022-11-23 01:23:16,703] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6330276Z  - 
2022-11-23T01:30:19.6330397Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6330492Z             {
2022-11-23T01:30:19.6330634Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6330823Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6330929Z                 'obj_weakref': None
2022-11-23T01:30:19.6331154Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6331219Z             }
2022-11-23T01:30:19.6331284Z             
2022-11-23T01:30:19.6331353Z  - 
2022-11-23T01:30:19.6331478Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6331542Z             {
2022-11-23T01:30:19.6331671Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6331780Z                 'code': None,
2022-11-23T01:30:19.6331990Z                 'obj_weakref': <weakref at 0x7ff5a811f6a0; to 'Tensor' at 0x7ff5ad97ad90>
2022-11-23T01:30:19.6332244Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6332308Z             }
2022-11-23T01:30:19.6332372Z             
2022-11-23T01:30:19.6332439Z  - 
2022-11-23T01:30:19.6332548Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6332612Z             {
2022-11-23T01:30:19.6332748Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6332918Z                 'code': ['___check_obj_id(model, 140693064517088)'],
2022-11-23T01:30:19.6333135Z                 'obj_weakref': <weakref at 0x7ff5a8072de0; to 'Sequential' at 0x7ff5a82205e0>
2022-11-23T01:30:19.6333367Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6333429Z             }
2022-11-23T01:30:19.6333479Z             
2022-11-23T01:30:19.6333545Z  - 
2022-11-23T01:30:19.6333665Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6333728Z             {
2022-11-23T01:30:19.6333861Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6334078Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6334194Z                 'obj_weakref': None
2022-11-23T01:30:19.6334405Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6334466Z             }
2022-11-23T01:30:19.6334527Z             
2022-11-23T01:30:19.6334594Z  - 
2022-11-23T01:30:19.6334737Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6334797Z             {
2022-11-23T01:30:19.6334914Z                 'guard_types': None,
2022-11-23T01:30:19.6335006Z                 'code': None,
2022-11-23T01:30:19.6335120Z                 'obj_weakref': None
2022-11-23T01:30:19.6335238Z                 'guarded_class': None
2022-11-23T01:30:19.6335298Z             }
2022-11-23T01:30:19.6335359Z             
2022-11-23T01:30:19.6335425Z  - 
2022-11-23T01:30:19.6335568Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6335620Z             {
2022-11-23T01:30:19.6335736Z                 'guard_types': None,
2022-11-23T01:30:19.6335840Z                 'code': None,
2022-11-23T01:30:19.6335956Z                 'obj_weakref': None
2022-11-23T01:30:19.6336102Z                 'guarded_class': None
2022-11-23T01:30:19.6336164Z             }
2022-11-23T01:30:19.6336213Z             
2022-11-23T01:30:19.6336589Z [2022-11-23 01:23:16,713] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 113
2022-11-23T01:30:19.6336967Z [2022-11-23 01:23:18,152] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/na/cnacpqhydy7ghwmngxbfwkyn5z5er6ylkvip5epon3d373awlpca.py
2022-11-23T01:30:19.6337232Z [2022-11-23 01:23:18,153] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 113
2022-11-23T01:30:19.6337469Z [2022-11-23 01:23:18,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6337784Z [2022-11-23 01:23:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6338061Z [2022-11-23 01:23:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6338301Z [2022-11-23 01:23:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6338567Z [2022-11-23 01:23:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6338945Z [2022-11-23 01:23:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6339286Z [2022-11-23 01:23:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6339594Z [2022-11-23 01:23:18,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6339843Z [2022-11-23 01:23:18,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6340075Z [2022-11-23 01:23:18,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6340325Z [2022-11-23 01:23:18,390] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6340571Z [2022-11-23 01:23:18,461] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6340757Z [2022-11-23 01:23:18,461] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6340888Z  __compiled_fn_115 <eval_with_key>.999 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6340976Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6341061Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6341158Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6341168Z 
2022-11-23T01:30:19.6341489Z [2022-11-23 01:23:18,462] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6341582Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6341672Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6341756Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6341848Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6341933Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6342008Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6342083Z              12 RETURN_VALUE
2022-11-23T01:30:19.6342089Z 
2022-11-23T01:30:19.6342148Z  
2022-11-23T01:30:19.6342465Z [2022-11-23 01:23:18,462] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6342570Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_115)
2022-11-23T01:30:19.6342660Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6342748Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6342857Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6342945Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6343033Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6343163Z              12 RETURN_VALUE
2022-11-23T01:30:19.6343170Z 
2022-11-23T01:30:19.6343228Z  
2022-11-23T01:30:19.6343410Z [2022-11-23 01:23:18,463] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6343477Z  - 
2022-11-23T01:30:19.6343594Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6343645Z             {
2022-11-23T01:30:19.6343783Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6343969Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6344085Z                 'obj_weakref': None
2022-11-23T01:30:19.6344338Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6344403Z             }
2022-11-23T01:30:19.6344469Z             
2022-11-23T01:30:19.6344527Z  - 
2022-11-23T01:30:19.6344649Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6344713Z             {
2022-11-23T01:30:19.6344854Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6344959Z                 'code': None,
2022-11-23T01:30:19.6345171Z                 'obj_weakref': <weakref at 0x7ff59c14e020; to 'Tensor' at 0x7ff5a831ff60>
2022-11-23T01:30:19.6345423Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6345474Z             }
2022-11-23T01:30:19.6345536Z             
2022-11-23T01:30:19.6345604Z  - 
2022-11-23T01:30:19.6345721Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6345782Z             {
2022-11-23T01:30:19.6345912Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6346069Z                 'code': ['___check_obj_id(model, 140693067710528)'],
2022-11-23T01:30:19.6346291Z                 'obj_weakref': <weakref at 0x7ff59c028360; to 'Sequential' at 0x7ff5a852c040>
2022-11-23T01:30:19.6346522Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6346586Z             }
2022-11-23T01:30:19.6346648Z             
2022-11-23T01:30:19.6346715Z  - 
2022-11-23T01:30:19.6346834Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6346894Z             {
2022-11-23T01:30:19.6347018Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6347233Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6347349Z                 'obj_weakref': None
2022-11-23T01:30:19.6347567Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6347629Z             }
2022-11-23T01:30:19.6347694Z             
2022-11-23T01:30:19.6347761Z  - 
2022-11-23T01:30:19.6347892Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6347952Z             {
2022-11-23T01:30:19.6348075Z                 'guard_types': None,
2022-11-23T01:30:19.6348178Z                 'code': None,
2022-11-23T01:30:19.6348294Z                 'obj_weakref': None
2022-11-23T01:30:19.6348413Z                 'guarded_class': None
2022-11-23T01:30:19.6348462Z             }
2022-11-23T01:30:19.6348523Z             
2022-11-23T01:30:19.6348589Z  - 
2022-11-23T01:30:19.6348729Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6348791Z             {
2022-11-23T01:30:19.6348906Z                 'guard_types': None,
2022-11-23T01:30:19.6349009Z                 'code': None,
2022-11-23T01:30:19.6349113Z                 'obj_weakref': None
2022-11-23T01:30:19.6349233Z                 'guarded_class': None
2022-11-23T01:30:19.6349294Z             }
2022-11-23T01:30:19.6349358Z             
2022-11-23T01:30:19.6349617Z [2022-11-23 01:23:18,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 114
2022-11-23T01:30:19.6349622Z 
2022-11-23T01:30:19.6349798Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6349894Z import torch
2022-11-23T01:30:19.6349950Z import random
2022-11-23T01:30:19.6350062Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6350183Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6350189Z 
2022-11-23T01:30:19.6350269Z aten = torch.ops.aten
2022-11-23T01:30:19.6350401Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6350491Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6350496Z 
2022-11-23T01:30:19.6350501Z 
2022-11-23T01:30:19.6350587Z async_compile.wait(globals())
2022-11-23T01:30:19.6350659Z del async_compile
2022-11-23T01:30:19.6350664Z 
2022-11-23T01:30:19.6350723Z def call(args):
2022-11-23T01:30:19.6350842Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6350944Z     args.clear()
2022-11-23T01:30:19.6351082Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:30:19.6351193Z     assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1))
2022-11-23T01:30:19.6351262Z     del arg0_1
2022-11-23T01:30:19.6351328Z     del arg1_1
2022-11-23T01:30:19.6351381Z     del arg7_1
2022-11-23T01:30:19.6351453Z     return (buf0, )
2022-11-23T01:30:19.6351459Z 
2022-11-23T01:30:19.6351463Z 
2022-11-23T01:30:19.6351543Z if __name__ == "__main__":
2022-11-23T01:30:19.6351655Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6351775Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6351995Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6352191Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6352385Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6352572Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6352749Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6352933Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6353112Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6353335Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6353490Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6353495Z 
2022-11-23T01:30:19.6353500Z 
2022-11-23T01:30:19.6353592Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6353660Z import torch
2022-11-23T01:30:19.6353730Z import random
2022-11-23T01:30:19.6353933Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6354058Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6354063Z 
2022-11-23T01:30:19.6354140Z aten = torch.ops.aten
2022-11-23T01:30:19.6354274Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6354364Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6354369Z 
2022-11-23T01:30:19.6354373Z 
2022-11-23T01:30:19.6354507Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6354713Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6354834Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6354921Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6354984Z {
2022-11-23T01:30:19.6355080Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6355142Z     {
2022-11-23T01:30:19.6355220Z         #pragma omp for 
2022-11-23T01:30:19.6355301Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.6355367Z         {
2022-11-23T01:30:19.6355434Z             #pragma GCC ivdep
2022-11-23T01:30:19.6355515Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.6355627Z             {
2022-11-23T01:30:19.6355709Z                 #pragma GCC ivdep
2022-11-23T01:30:19.6355798Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:30:19.6355861Z                 {
2022-11-23T01:30:19.6355915Z                     {
2022-11-23T01:30:19.6355982Z                         {
2022-11-23T01:30:19.6356088Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:30:19.6356192Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:30:19.6356260Z                         }
2022-11-23T01:30:19.6356325Z                     }
2022-11-23T01:30:19.6356389Z                 }
2022-11-23T01:30:19.6356438Z             }
2022-11-23T01:30:19.6356500Z         }
2022-11-23T01:30:19.6356560Z     }
2022-11-23T01:30:19.6356620Z }
2022-11-23T01:30:19.6356728Z ''')
2022-11-23T01:30:19.6356733Z 
2022-11-23T01:30:19.6356737Z 
2022-11-23T01:30:19.6356824Z async_compile.wait(globals())
2022-11-23T01:30:19.6356893Z del async_compile
2022-11-23T01:30:19.6356900Z 
2022-11-23T01:30:19.6356968Z def call(args):
2022-11-23T01:30:19.6357073Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6357141Z     args.clear()
2022-11-23T01:30:19.6357355Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6357485Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6357551Z     del arg0_1
2022-11-23T01:30:19.6357682Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:30:19.6357792Z     assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2022-11-23T01:30:19.6357847Z     del arg1_1
2022-11-23T01:30:19.6357913Z     del arg7_1
2022-11-23T01:30:19.6357982Z     return (buf1, )
2022-11-23T01:30:19.6357989Z 
2022-11-23T01:30:19.6357993Z 
2022-11-23T01:30:19.6358069Z if __name__ == "__main__":
2022-11-23T01:30:19.6358181Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6358303Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6358514Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6358706Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6358886Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6359072Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6359259Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6359443Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6359620Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6359842Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6359997Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6360002Z 
2022-11-23T01:30:19.6360007Z 
2022-11-23T01:30:19.6360099Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6360157Z import torch
2022-11-23T01:30:19.6360228Z import random
2022-11-23T01:30:19.6360340Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6360458Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6360463Z 
2022-11-23T01:30:19.6360540Z aten = torch.ops.aten
2022-11-23T01:30:19.6360673Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6360762Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6360766Z 
2022-11-23T01:30:19.6360770Z 
2022-11-23T01:30:19.6360855Z async_compile.wait(globals())
2022-11-23T01:30:19.6360916Z del async_compile
2022-11-23T01:30:19.6360920Z 
2022-11-23T01:30:19.6360987Z def call(args):
2022-11-23T01:30:19.6361104Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6361207Z     args.clear()
2022-11-23T01:30:19.6361350Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6361465Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6361531Z     del arg0_1
2022-11-23T01:30:19.6361594Z     del arg1_1
2022-11-23T01:30:19.6361648Z     del arg7_1
2022-11-23T01:30:19.6361717Z     return (buf0, )
2022-11-23T01:30:19.6361722Z 
2022-11-23T01:30:19.6361726Z 
2022-11-23T01:30:19.6361800Z if __name__ == "__main__":
2022-11-23T01:30:19.6361912Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6362034Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6362253Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6362478Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6362658Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6362847Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6363034Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6363219Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6363398Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6363633Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6363790Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6363795Z 
2022-11-23T01:30:19.6363799Z 
2022-11-23T01:30:19.6363897Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6363970Z import torch
2022-11-23T01:30:19.6364028Z import random
2022-11-23T01:30:19.6364146Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6364266Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6364271Z 
2022-11-23T01:30:19.6364352Z aten = torch.ops.aten
2022-11-23T01:30:19.6364485Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6364576Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6364580Z 
2022-11-23T01:30:19.6364584Z 
2022-11-23T01:30:19.6364716Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6364921Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6365028Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6365129Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6365191Z {
2022-11-23T01:30:19.6365290Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6365356Z     {
2022-11-23T01:30:19.6365448Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.6365529Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.6365582Z         {
2022-11-23T01:30:19.6365672Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6365737Z             {
2022-11-23T01:30:19.6365804Z                 {
2022-11-23T01:30:19.6365873Z                     {
2022-11-23T01:30:19.6365976Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:30:19.6366078Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6366133Z                     }
2022-11-23T01:30:19.6366198Z                 }
2022-11-23T01:30:19.6366263Z             }
2022-11-23T01:30:19.6366326Z         }
2022-11-23T01:30:19.6366389Z     }
2022-11-23T01:30:19.6366451Z }
2022-11-23T01:30:19.6366516Z ''')
2022-11-23T01:30:19.6366521Z 
2022-11-23T01:30:19.6366539Z 
2022-11-23T01:30:19.6366617Z async_compile.wait(globals())
2022-11-23T01:30:19.6366691Z del async_compile
2022-11-23T01:30:19.6366696Z 
2022-11-23T01:30:19.6366767Z def call(args):
2022-11-23T01:30:19.6366917Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6366991Z     args.clear()
2022-11-23T01:30:19.6367229Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6367361Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6367418Z     del arg7_1
2022-11-23T01:30:19.6367557Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6367673Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6367743Z     del arg0_1
2022-11-23T01:30:19.6367811Z     del arg1_1
2022-11-23T01:30:19.6367884Z     return (buf1, )
2022-11-23T01:30:19.6367889Z 
2022-11-23T01:30:19.6367893Z 
2022-11-23T01:30:19.6367997Z if __name__ == "__main__":
2022-11-23T01:30:19.6368114Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6368223Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6368440Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6368632Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6368821Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6369008Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6369195Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6369378Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6369554Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6369766Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6369919Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6369926Z 
2022-11-23T01:30:19.6370301Z [2022-11-23 01:23:18,478] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cryxfqnfrvvljbyhb57zmd6c2mrrbdcvtbgtjp553v6jzx5sciq3.py
2022-11-23T01:30:19.6370568Z [2022-11-23 01:23:18,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 114
2022-11-23T01:30:19.6370803Z [2022-11-23 01:23:19,154] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6371118Z [2022-11-23 01:23:19,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6371332Z [2022-11-23 01:23:19,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6371569Z [2022-11-23 01:23:19,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6371840Z [2022-11-23 01:23:19,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6372137Z [2022-11-23 01:23:19,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6372468Z [2022-11-23 01:23:19,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6372775Z [2022-11-23 01:23:19,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6373018Z [2022-11-23 01:23:19,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6373247Z [2022-11-23 01:23:19,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6373501Z [2022-11-23 01:23:19,177] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6373777Z [2022-11-23 01:23:19,252] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6373963Z [2022-11-23 01:23:19,252] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6374096Z  __compiled_fn_116 <eval_with_key>.1010 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6374185Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6374270Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6374370Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6374376Z 
2022-11-23T01:30:19.6374699Z [2022-11-23 01:23:19,253] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6374793Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6374919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6375004Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6375096Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6381450Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6381603Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6381683Z              12 RETURN_VALUE
2022-11-23T01:30:19.6381690Z 
2022-11-23T01:30:19.6381752Z  
2022-11-23T01:30:19.6382134Z [2022-11-23 01:23:19,253] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6382247Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_116)
2022-11-23T01:30:19.6382342Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6382434Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6382498Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6382589Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6382686Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6382762Z              12 RETURN_VALUE
2022-11-23T01:30:19.6382767Z 
2022-11-23T01:30:19.6382833Z  
2022-11-23T01:30:19.6383020Z [2022-11-23 01:23:19,254] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6383091Z  - 
2022-11-23T01:30:19.6383211Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6383263Z             {
2022-11-23T01:30:19.6383405Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6383597Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6383717Z                 'obj_weakref': None
2022-11-23T01:30:19.6383947Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6384012Z             }
2022-11-23T01:30:19.6384076Z             
2022-11-23T01:30:19.6384133Z  - 
2022-11-23T01:30:19.6384256Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6384323Z             {
2022-11-23T01:30:19.6384465Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6384572Z                 'code': None,
2022-11-23T01:30:19.6384785Z                 'obj_weakref': <weakref at 0x7ff59c207510; to 'Tensor' at 0x7ff5a8071030>
2022-11-23T01:30:19.6385038Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6385090Z             }
2022-11-23T01:30:19.6385152Z             
2022-11-23T01:30:19.6385221Z  - 
2022-11-23T01:30:19.6385341Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6385405Z             {
2022-11-23T01:30:19.6385539Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6385710Z                 'code': ['___check_obj_id(model, 140693067710528)'],
2022-11-23T01:30:19.6385918Z                 'obj_weakref': <weakref at 0x7ff59c028360; to 'Sequential' at 0x7ff5a852c040>
2022-11-23T01:30:19.6386152Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6386218Z             }
2022-11-23T01:30:19.6386282Z             
2022-11-23T01:30:19.6386351Z  - 
2022-11-23T01:30:19.6386592Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6386656Z             {
2022-11-23T01:30:19.6386780Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6387000Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6387120Z                 'obj_weakref': None
2022-11-23T01:30:19.6387346Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6387410Z             }
2022-11-23T01:30:19.6387474Z             
2022-11-23T01:30:19.6387542Z  - 
2022-11-23T01:30:19.6387676Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6387739Z             {
2022-11-23T01:30:19.6387859Z                 'guard_types': None,
2022-11-23T01:30:19.6388012Z                 'code': None,
2022-11-23T01:30:19.6388130Z                 'obj_weakref': None
2022-11-23T01:30:19.6388252Z                 'guarded_class': None
2022-11-23T01:30:19.6388321Z             }
2022-11-23T01:30:19.6388372Z             
2022-11-23T01:30:19.6388440Z  - 
2022-11-23T01:30:19.6388586Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6388651Z             {
2022-11-23T01:30:19.6388768Z                 'guard_types': None,
2022-11-23T01:30:19.6388873Z                 'code': None,
2022-11-23T01:30:19.6388979Z                 'obj_weakref': None
2022-11-23T01:30:19.6389097Z                 'guarded_class': None
2022-11-23T01:30:19.6389162Z             }
2022-11-23T01:30:19.6389225Z             
2022-11-23T01:30:19.6389487Z [2022-11-23 01:23:19,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 115
2022-11-23T01:30:19.6389851Z [2022-11-23 01:23:20,699] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2rfaa6g2pe6xz2wid37wv72lbuka7yvue7tqaqa4sist5rqm7j.py
2022-11-23T01:30:19.6390123Z [2022-11-23 01:23:20,699] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 115
2022-11-23T01:30:19.6390363Z [2022-11-23 01:23:21,296] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6390667Z [2022-11-23 01:23:21,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6390883Z [2022-11-23 01:23:21,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6391127Z [2022-11-23 01:23:21,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6391395Z [2022-11-23 01:23:21,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6391708Z [2022-11-23 01:23:21,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6392044Z [2022-11-23 01:23:21,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6392355Z [2022-11-23 01:23:21,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6392600Z [2022-11-23 01:23:21,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6392832Z [2022-11-23 01:23:21,312] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6393082Z [2022-11-23 01:23:21,313] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6393322Z [2022-11-23 01:23:21,332] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6393511Z [2022-11-23 01:23:21,332] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6393642Z  __compiled_fn_117 <eval_with_key>.1021 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6393759Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6393962Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6394064Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6394070Z 
2022-11-23T01:30:19.6394399Z [2022-11-23 01:23:21,333] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6394491Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6394569Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6394657Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6394751Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6394836Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6394925Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6395036Z              12 RETURN_VALUE
2022-11-23T01:30:19.6395041Z 
2022-11-23T01:30:19.6395104Z  
2022-11-23T01:30:19.6395432Z [2022-11-23 01:23:21,333] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6395529Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_117)
2022-11-23T01:30:19.6395619Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6395711Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6395789Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6395878Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6395969Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6396043Z              12 RETURN_VALUE
2022-11-23T01:30:19.6396047Z 
2022-11-23T01:30:19.6396094Z  
2022-11-23T01:30:19.6396278Z [2022-11-23 01:23:21,334] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6396350Z  - 
2022-11-23T01:30:19.6396468Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6396535Z             {
2022-11-23T01:30:19.6396676Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6396863Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6396969Z                 'obj_weakref': None
2022-11-23T01:30:19.6397195Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6397260Z             }
2022-11-23T01:30:19.6397325Z             
2022-11-23T01:30:19.6397395Z  - 
2022-11-23T01:30:19.6397523Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6397587Z             {
2022-11-23T01:30:19.6397717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6397823Z                 'code': None,
2022-11-23T01:30:19.6398034Z                 'obj_weakref': <weakref at 0x7ff59c127ab0; to 'Tensor' at 0x7ff5a87a1940>
2022-11-23T01:30:19.6398288Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6398355Z             }
2022-11-23T01:30:19.6398420Z             
2022-11-23T01:30:19.6398490Z  - 
2022-11-23T01:30:19.6398598Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6398661Z             {
2022-11-23T01:30:19.6398797Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6398966Z                 'code': ['___check_obj_id(model, 140692656066800)'],
2022-11-23T01:30:19.6399186Z                 'obj_weakref': <weakref at 0x7ff5a8480c20; to 'Sequential' at 0x7ff58fc990f0>
2022-11-23T01:30:19.6399419Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6399485Z             }
2022-11-23T01:30:19.6399536Z             
2022-11-23T01:30:19.6399605Z  - 
2022-11-23T01:30:19.6399726Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6399788Z             {
2022-11-23T01:30:19.6399923Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6400144Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6400317Z                 'obj_weakref': None
2022-11-23T01:30:19.6400528Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6400590Z             }
2022-11-23T01:30:19.6400653Z             
2022-11-23T01:30:19.6400723Z  - 
2022-11-23T01:30:19.6400869Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6400932Z             {
2022-11-23T01:30:19.6401052Z                 'guard_types': None,
2022-11-23T01:30:19.6401145Z                 'code': None,
2022-11-23T01:30:19.6401263Z                 'obj_weakref': None
2022-11-23T01:30:19.6401384Z                 'guarded_class': None
2022-11-23T01:30:19.6401448Z             }
2022-11-23T01:30:19.6401511Z             
2022-11-23T01:30:19.6401581Z  - 
2022-11-23T01:30:19.6401727Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6401805Z             {
2022-11-23T01:30:19.6401924Z                 'guard_types': None,
2022-11-23T01:30:19.6402032Z                 'code': None,
2022-11-23T01:30:19.6402150Z                 'obj_weakref': None
2022-11-23T01:30:19.6402271Z                 'guarded_class': None
2022-11-23T01:30:19.6402334Z             }
2022-11-23T01:30:19.6402397Z             
2022-11-23T01:30:19.6402647Z [2022-11-23 01:23:21,343] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 116
2022-11-23T01:30:19.6403017Z [2022-11-23 01:23:21,349] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bzkbo6uvsrmfq7sjekl5f3rm4hxpjwquogqr6h3sm2w7deh66.py
2022-11-23T01:30:19.6403283Z [2022-11-23 01:23:21,349] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 116
2022-11-23T01:30:19.6403521Z [2022-11-23 01:23:21,486] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6403837Z [2022-11-23 01:23:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6404058Z [2022-11-23 01:23:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6404300Z [2022-11-23 01:23:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6404567Z [2022-11-23 01:23:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6404964Z [2022-11-23 01:23:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6405415Z [2022-11-23 01:23:21,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6405864Z [2022-11-23 01:23:21,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6406233Z [2022-11-23 01:23:21,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6406571Z [2022-11-23 01:23:21,502] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6406947Z [2022-11-23 01:23:21,503] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6407318Z [2022-11-23 01:23:21,523] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6407589Z [2022-11-23 01:23:21,523] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6407781Z  __compiled_fn_118 <eval_with_key>.1032 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6407908Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6408035Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6408175Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6408186Z 
2022-11-23T01:30:19.6408777Z [2022-11-23 01:23:21,523] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6408923Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6409066Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6409205Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6409337Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6409457Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6409580Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6409686Z              12 RETURN_VALUE
2022-11-23T01:30:19.6409696Z 
2022-11-23T01:30:19.6409790Z  
2022-11-23T01:30:19.6410328Z [2022-11-23 01:23:21,524] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6410546Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_118)
2022-11-23T01:30:19.6410679Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6410821Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6410929Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6411036Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6411127Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6411202Z              12 RETURN_VALUE
2022-11-23T01:30:19.6411208Z 
2022-11-23T01:30:19.6411269Z  
2022-11-23T01:30:19.6411468Z [2022-11-23 01:23:21,524] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6411538Z  - 
2022-11-23T01:30:19.6411657Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6411709Z             {
2022-11-23T01:30:19.6411850Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6412038Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6412207Z                 'obj_weakref': None
2022-11-23T01:30:19.6412561Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6412652Z             }
2022-11-23T01:30:19.6412744Z             
2022-11-23T01:30:19.6412831Z  - 
2022-11-23T01:30:19.6413030Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6413133Z             {
2022-11-23T01:30:19.6413367Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6413538Z                 'code': None,
2022-11-23T01:30:19.6413889Z                 'obj_weakref': <weakref at 0x7ff5a81b94e0; to 'Tensor' at 0x7ff5a979cb30>
2022-11-23T01:30:19.6414297Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6414376Z             }
2022-11-23T01:30:19.6414486Z             
2022-11-23T01:30:19.6414614Z  - 
2022-11-23T01:30:19.6414842Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6414963Z             {
2022-11-23T01:30:19.6415208Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6415534Z                 'code': ['___check_obj_id(model, 140692656066800)'],
2022-11-23T01:30:19.6415950Z                 'obj_weakref': <weakref at 0x7ff5a8480c20; to 'Sequential' at 0x7ff58fc990f0>
2022-11-23T01:30:19.6416356Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6416590Z             }
2022-11-23T01:30:19.6416700Z             
2022-11-23T01:30:19.6416823Z  - 
2022-11-23T01:30:19.6417039Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6417149Z             {
2022-11-23T01:30:19.6417370Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6417752Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6417949Z                 'obj_weakref': None
2022-11-23T01:30:19.6418322Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6418439Z             }
2022-11-23T01:30:19.6418555Z             
2022-11-23T01:30:19.6418674Z  - 
2022-11-23T01:30:19.6418885Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6419091Z             {
2022-11-23T01:30:19.6419287Z                 'guard_types': None,
2022-11-23T01:30:19.6419460Z                 'code': None,
2022-11-23T01:30:19.6419649Z                 'obj_weakref': None
2022-11-23T01:30:19.6419844Z                 'guarded_class': None
2022-11-23T01:30:19.6419951Z             }
2022-11-23T01:30:19.6420050Z             
2022-11-23T01:30:19.6420172Z  - 
2022-11-23T01:30:19.6420425Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6420539Z             {
2022-11-23T01:30:19.6420747Z                 'guard_types': None,
2022-11-23T01:30:19.6420921Z                 'code': None,
2022-11-23T01:30:19.6421113Z                 'obj_weakref': None
2022-11-23T01:30:19.6421325Z                 'guarded_class': None
2022-11-23T01:30:19.6421526Z             }
2022-11-23T01:30:19.6421621Z             
2022-11-23T01:30:19.6422057Z [2022-11-23 01:23:21,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 117
2022-11-23T01:30:19.6422688Z [2022-11-23 01:23:21,546] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pn/cpnf53kwmvder33b67ixassl3lejnar3tszy45o23d3mkp3dzjkt.py
2022-11-23T01:30:19.6423144Z [2022-11-23 01:23:21,546] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 117
2022-11-23T01:30:19.6423535Z [2022-11-23 01:23:21,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6424039Z [2022-11-23 01:23:21,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6424406Z [2022-11-23 01:23:21,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6424810Z [2022-11-23 01:23:21,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6425266Z [2022-11-23 01:23:21,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6425793Z [2022-11-23 01:23:21,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6426352Z [2022-11-23 01:23:21,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6426878Z [2022-11-23 01:23:21,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6427287Z [2022-11-23 01:23:21,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6427686Z [2022-11-23 01:23:21,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6428116Z [2022-11-23 01:23:21,792] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6428558Z [2022-11-23 01:23:21,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6428888Z [2022-11-23 01:23:21,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6429119Z  __compiled_fn_119 <eval_with_key>.1043 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6429280Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6429449Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6429620Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6429630Z 
2022-11-23T01:30:19.6430224Z [2022-11-23 01:23:21,865] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6430378Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6430536Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6430671Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6430915Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6431064Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6431217Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6431348Z              12 RETURN_VALUE
2022-11-23T01:30:19.6431360Z 
2022-11-23T01:30:19.6431472Z  
2022-11-23T01:30:19.6432082Z [2022-11-23 01:23:21,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6432250Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_119)
2022-11-23T01:30:19.6432400Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6432555Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6432690Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6432841Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6433063Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6433192Z              12 RETURN_VALUE
2022-11-23T01:30:19.6433199Z 
2022-11-23T01:30:19.6433298Z  
2022-11-23T01:30:19.6433628Z [2022-11-23 01:23:21,866] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6433753Z  - 
2022-11-23T01:30:19.6434070Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6434186Z             {
2022-11-23T01:30:19.6434443Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6434776Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6434974Z                 'obj_weakref': None
2022-11-23T01:30:19.6435359Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6435470Z             }
2022-11-23T01:30:19.6435579Z             
2022-11-23T01:30:19.6435704Z  - 
2022-11-23T01:30:19.6435926Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6436041Z             {
2022-11-23T01:30:19.6436284Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6436473Z                 'code': None,
2022-11-23T01:30:19.6436859Z                 'obj_weakref': <weakref at 0x7ff5a81e2ed0; to 'Tensor' at 0x7ff5ad97a6b0>
2022-11-23T01:30:19.6437293Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6437408Z             }
2022-11-23T01:30:19.6437517Z             
2022-11-23T01:30:19.6437634Z  - 
2022-11-23T01:30:19.6437827Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6437937Z             {
2022-11-23T01:30:19.6438157Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6438445Z                 'code': ['___check_obj_id(model, 140693062644688)'],
2022-11-23T01:30:19.6438828Z                 'obj_weakref': <weakref at 0x7ff59c02bf60; to 'Sequential' at 0x7ff5a80573d0>
2022-11-23T01:30:19.6439239Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6439356Z             }
2022-11-23T01:30:19.6439455Z             
2022-11-23T01:30:19.6439556Z  - 
2022-11-23T01:30:19.6439779Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6439894Z             {
2022-11-23T01:30:19.6440123Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6440495Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6440704Z                 'obj_weakref': None
2022-11-23T01:30:19.6441089Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6441179Z             }
2022-11-23T01:30:19.6441298Z             
2022-11-23T01:30:19.6441428Z  - 
2022-11-23T01:30:19.6441686Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6441797Z             {
2022-11-23T01:30:19.6442003Z                 'guard_types': None,
2022-11-23T01:30:19.6442185Z                 'code': None,
2022-11-23T01:30:19.6442390Z                 'obj_weakref': None
2022-11-23T01:30:19.6442605Z                 'guarded_class': None
2022-11-23T01:30:19.6442713Z             }
2022-11-23T01:30:19.6442922Z             
2022-11-23T01:30:19.6443046Z  - 
2022-11-23T01:30:19.6443299Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6443387Z             {
2022-11-23T01:30:19.6443580Z                 'guard_types': None,
2022-11-23T01:30:19.6443757Z                 'code': None,
2022-11-23T01:30:19.6443964Z                 'obj_weakref': None
2022-11-23T01:30:19.6444173Z                 'guarded_class': None
2022-11-23T01:30:19.6444277Z             }
2022-11-23T01:30:19.6444382Z             
2022-11-23T01:30:19.6444830Z [2022-11-23 01:23:21,876] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 118
2022-11-23T01:30:19.6444842Z 
2022-11-23T01:30:19.6445005Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6445126Z import torch
2022-11-23T01:30:19.6445317Z import random
2022-11-23T01:30:19.6445516Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6445712Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6445724Z 
2022-11-23T01:30:19.6445846Z aten = torch.ops.aten
2022-11-23T01:30:19.6446054Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6446212Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6446220Z 
2022-11-23T01:30:19.6446228Z 
2022-11-23T01:30:19.6446388Z async_compile.wait(globals())
2022-11-23T01:30:19.6446509Z del async_compile
2022-11-23T01:30:19.6446517Z 
2022-11-23T01:30:19.6446638Z def call(args):
2022-11-23T01:30:19.6446828Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6446947Z     args.clear()
2022-11-23T01:30:19.6447172Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6447372Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6447478Z     del arg0_1
2022-11-23T01:30:19.6447588Z     del arg1_1
2022-11-23T01:30:19.6447692Z     del arg7_1
2022-11-23T01:30:19.6447812Z     return (buf0, )
2022-11-23T01:30:19.6447819Z 
2022-11-23T01:30:19.6447826Z 
2022-11-23T01:30:19.6447953Z if __name__ == "__main__":
2022-11-23T01:30:19.6448142Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6448361Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6448759Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6449084Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6449417Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6449753Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6450080Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6450421Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6450734Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6451155Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6451409Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6451436Z 
2022-11-23T01:30:19.6451443Z 
2022-11-23T01:30:19.6451601Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6451715Z import torch
2022-11-23T01:30:19.6451837Z import random
2022-11-23T01:30:19.6452041Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6452257Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6452265Z 
2022-11-23T01:30:19.6452407Z aten = torch.ops.aten
2022-11-23T01:30:19.6452647Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6452796Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6452804Z 
2022-11-23T01:30:19.6452827Z 
2022-11-23T01:30:19.6453128Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6453479Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6453685Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6453853Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6453959Z {
2022-11-23T01:30:19.6454131Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6454239Z     {
2022-11-23T01:30:19.6454358Z         #pragma omp for 
2022-11-23T01:30:19.6454505Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.6454615Z         {
2022-11-23T01:30:19.6454752Z             #pragma GCC ivdep
2022-11-23T01:30:19.6454890Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6454992Z             {
2022-11-23T01:30:19.6455085Z                 {
2022-11-23T01:30:19.6455264Z                     {
2022-11-23T01:30:19.6455435Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:30:19.6455605Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6455718Z                     }
2022-11-23T01:30:19.6455831Z                 }
2022-11-23T01:30:19.6455943Z             }
2022-11-23T01:30:19.6456034Z         }
2022-11-23T01:30:19.6456143Z     }
2022-11-23T01:30:19.6456247Z }
2022-11-23T01:30:19.6456549Z ''')
2022-11-23T01:30:19.6456559Z 
2022-11-23T01:30:19.6456566Z 
2022-11-23T01:30:19.6456723Z async_compile.wait(globals())
2022-11-23T01:30:19.6456850Z del async_compile
2022-11-23T01:30:19.6456859Z 
2022-11-23T01:30:19.6456976Z def call(args):
2022-11-23T01:30:19.6457176Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6457280Z     args.clear()
2022-11-23T01:30:19.6457716Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6457950Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6458062Z     del arg7_1
2022-11-23T01:30:19.6458304Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6458508Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6458625Z     del arg0_1
2022-11-23T01:30:19.6458727Z     del arg1_1
2022-11-23T01:30:19.6458852Z     return (buf1, )
2022-11-23T01:30:19.6458861Z 
2022-11-23T01:30:19.6458869Z 
2022-11-23T01:30:19.6458994Z if __name__ == "__main__":
2022-11-23T01:30:19.6459194Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6459407Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6459790Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6460140Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6460455Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6460781Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6461128Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6461470Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6461794Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6462206Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6462476Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6462485Z 
2022-11-23T01:30:19.6462493Z 
2022-11-23T01:30:19.6462664Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6462781Z import torch
2022-11-23T01:30:19.6462886Z import random
2022-11-23T01:30:19.6463067Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6463266Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6463393Z 
2022-11-23T01:30:19.6463532Z aten = torch.ops.aten
2022-11-23T01:30:19.6463767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6463925Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6463932Z 
2022-11-23T01:30:19.6463937Z 
2022-11-23T01:30:19.6464092Z async_compile.wait(globals())
2022-11-23T01:30:19.6464213Z del async_compile
2022-11-23T01:30:19.6464221Z 
2022-11-23T01:30:19.6464327Z def call(args):
2022-11-23T01:30:19.6464524Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6464640Z     args.clear()
2022-11-23T01:30:19.6464874Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6465057Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6465237Z     del arg0_1
2022-11-23T01:30:19.6465347Z     del arg1_1
2022-11-23T01:30:19.6465442Z     del arg7_1
2022-11-23T01:30:19.6465540Z     return (buf0, )
2022-11-23T01:30:19.6465553Z 
2022-11-23T01:30:19.6465560Z 
2022-11-23T01:30:19.6465682Z if __name__ == "__main__":
2022-11-23T01:30:19.6465870Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6466079Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6466481Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6466810Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6467120Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6467457Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6467773Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6468073Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6468367Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6468741Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6468999Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6469009Z 
2022-11-23T01:30:19.6469017Z 
2022-11-23T01:30:19.6469184Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6469309Z import torch
2022-11-23T01:30:19.6469437Z import random
2022-11-23T01:30:19.6469620Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6469840Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6469848Z 
2022-11-23T01:30:19.6469982Z aten = torch.ops.aten
2022-11-23T01:30:19.6470214Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6470373Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6470381Z 
2022-11-23T01:30:19.6470389Z 
2022-11-23T01:30:19.6470638Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6470978Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6471173Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6471328Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6471421Z {
2022-11-23T01:30:19.6471587Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6471688Z     {
2022-11-23T01:30:19.6471842Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.6471967Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.6472066Z         {
2022-11-23T01:30:19.6472203Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6472303Z             {
2022-11-23T01:30:19.6472404Z                 {
2022-11-23T01:30:19.6472506Z                     {
2022-11-23T01:30:19.6472677Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:30:19.6472847Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6472955Z                     }
2022-11-23T01:30:19.6473142Z                 }
2022-11-23T01:30:19.6473252Z             }
2022-11-23T01:30:19.6473358Z         }
2022-11-23T01:30:19.6473458Z     }
2022-11-23T01:30:19.6473558Z }
2022-11-23T01:30:19.6473726Z ''')
2022-11-23T01:30:19.6473734Z 
2022-11-23T01:30:19.6473741Z 
2022-11-23T01:30:19.6473997Z async_compile.wait(globals())
2022-11-23T01:30:19.6474108Z del async_compile
2022-11-23T01:30:19.6474117Z 
2022-11-23T01:30:19.6474246Z def call(args):
2022-11-23T01:30:19.6474449Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6474572Z     args.clear()
2022-11-23T01:30:19.6474998Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6475230Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6475422Z     del arg7_1
2022-11-23T01:30:19.6475651Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6475850Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6475957Z     del arg0_1
2022-11-23T01:30:19.6476070Z     del arg1_1
2022-11-23T01:30:19.6476192Z     return (buf1, )
2022-11-23T01:30:19.6476200Z 
2022-11-23T01:30:19.6476208Z 
2022-11-23T01:30:19.6476334Z if __name__ == "__main__":
2022-11-23T01:30:19.6476533Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6476749Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6477108Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6477435Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6477761Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6478098Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6478440Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6478776Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6479101Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6479504Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6479749Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6479772Z 
2022-11-23T01:30:19.6480420Z [2022-11-23 01:23:21,881] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmosqlnk7cqasnwwejgosx6scyzawgxxb2pev5kvplvmeihyx457.py
2022-11-23T01:30:19.6480867Z [2022-11-23 01:23:21,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 118
2022-11-23T01:30:19.6481306Z [2022-11-23 01:23:22,523] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6481876Z [2022-11-23 01:23:22,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6482254Z [2022-11-23 01:23:22,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6482681Z [2022-11-23 01:23:22,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6483161Z [2022-11-23 01:23:22,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6483737Z [2022-11-23 01:23:22,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6484362Z [2022-11-23 01:23:22,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6485018Z [2022-11-23 01:23:22,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6485445Z [2022-11-23 01:23:22,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6485865Z [2022-11-23 01:23:22,539] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6486318Z [2022-11-23 01:23:22,540] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6486761Z [2022-11-23 01:23:22,617] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6487097Z [2022-11-23 01:23:22,617] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6487330Z  __compiled_fn_120 <eval_with_key>.1054 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6487550Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6487721Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6487870Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6487881Z 
2022-11-23T01:30:19.6488468Z [2022-11-23 01:23:22,618] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6488622Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6488772Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6488914Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6489115Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6489306Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6489450Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6489562Z              12 RETURN_VALUE
2022-11-23T01:30:19.6489577Z 
2022-11-23T01:30:19.6489673Z  
2022-11-23T01:30:19.6490272Z [2022-11-23 01:23:22,618] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6490452Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_120)
2022-11-23T01:30:19.6490601Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6490744Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6490871Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6490999Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6491148Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6491273Z              12 RETURN_VALUE
2022-11-23T01:30:19.6491282Z 
2022-11-23T01:30:19.6491387Z  
2022-11-23T01:30:19.6491717Z [2022-11-23 01:23:22,618] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6491835Z  - 
2022-11-23T01:30:19.6492045Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6492135Z             {
2022-11-23T01:30:19.6492384Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6492708Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6492919Z                 'obj_weakref': None
2022-11-23T01:30:19.6493302Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6493407Z             }
2022-11-23T01:30:19.6493509Z             
2022-11-23T01:30:19.6493607Z  - 
2022-11-23T01:30:19.6493823Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6493924Z             {
2022-11-23T01:30:19.6494163Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6494348Z                 'code': None,
2022-11-23T01:30:19.6494715Z                 'obj_weakref': <weakref at 0x7ff5a84e0180; to 'Tensor' at 0x7ff5a807a2a0>
2022-11-23T01:30:19.6495162Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6495279Z             }
2022-11-23T01:30:19.6495365Z             
2022-11-23T01:30:19.6495480Z  - 
2022-11-23T01:30:19.6495689Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6495790Z             {
2022-11-23T01:30:19.6496101Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6496558Z                 'code': ['___check_obj_id(model, 140693062644688)'],
2022-11-23T01:30:19.6496946Z                 'obj_weakref': <weakref at 0x7ff59c02bf60; to 'Sequential' at 0x7ff5a80573d0>
2022-11-23T01:30:19.6497329Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6497433Z             }
2022-11-23T01:30:19.6497539Z             
2022-11-23T01:30:19.6497654Z  - 
2022-11-23T01:30:19.6497865Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6497972Z             {
2022-11-23T01:30:19.6498208Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6498570Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6498905Z                 'obj_weakref': None
2022-11-23T01:30:19.6499286Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6499395Z             }
2022-11-23T01:30:19.6499504Z             
2022-11-23T01:30:19.6499612Z  - 
2022-11-23T01:30:19.6499857Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6499946Z             {
2022-11-23T01:30:19.6500153Z                 'guard_types': None,
2022-11-23T01:30:19.6500336Z                 'code': None,
2022-11-23T01:30:19.6500539Z                 'obj_weakref': None
2022-11-23T01:30:19.6500752Z                 'guarded_class': None
2022-11-23T01:30:19.6500864Z             }
2022-11-23T01:30:19.6500949Z             
2022-11-23T01:30:19.6501064Z  - 
2022-11-23T01:30:19.6501316Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6501422Z             {
2022-11-23T01:30:19.6501627Z                 'guard_types': None,
2022-11-23T01:30:19.6501821Z                 'code': None,
2022-11-23T01:30:19.6502021Z                 'obj_weakref': None
2022-11-23T01:30:19.6502228Z                 'guarded_class': None
2022-11-23T01:30:19.6502342Z             }
2022-11-23T01:30:19.6502448Z             
2022-11-23T01:30:19.6502920Z [2022-11-23 01:23:22,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 119
2022-11-23T01:30:19.6503601Z [2022-11-23 01:23:22,641] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cakugsofdso7etktnucpcxukbl7qolhlyxtsft47uenxvagf6r2u.py
2022-11-23T01:30:19.6504077Z [2022-11-23 01:23:22,641] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 119
2022-11-23T01:30:19.6504483Z [2022-11-23 01:23:23,137] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6505044Z [2022-11-23 01:23:23,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6505414Z [2022-11-23 01:23:23,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6505849Z [2022-11-23 01:23:23,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6506311Z [2022-11-23 01:23:23,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6506876Z [2022-11-23 01:23:23,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6507454Z [2022-11-23 01:23:23,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6508014Z [2022-11-23 01:23:23,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6508458Z [2022-11-23 01:23:23,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6508988Z [2022-11-23 01:23:23,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6509445Z [2022-11-23 01:23:23,153] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6509901Z [2022-11-23 01:23:23,190] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6510217Z [2022-11-23 01:23:23,190] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6510446Z  __compiled_fn_121 <eval_with_key>.1065 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6510608Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6510778Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6510949Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6510959Z 
2022-11-23T01:30:19.6511544Z [2022-11-23 01:23:23,191] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6511757Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6511896Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6512019Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6512164Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6512294Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6512447Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6512575Z              12 RETURN_VALUE
2022-11-23T01:30:19.6512586Z 
2022-11-23T01:30:19.6512691Z  
2022-11-23T01:30:19.6513286Z [2022-11-23 01:23:23,191] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6513480Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_121)
2022-11-23T01:30:19.6513615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6513772Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6514008Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6514160Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6514312Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6514442Z              12 RETURN_VALUE
2022-11-23T01:30:19.6514452Z 
2022-11-23T01:30:19.6514558Z  
2022-11-23T01:30:19.6514883Z [2022-11-23 01:23:23,191] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6515004Z  - 
2022-11-23T01:30:19.6515214Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6515326Z             {
2022-11-23T01:30:19.6515577Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6515907Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6516116Z                 'obj_weakref': None
2022-11-23T01:30:19.6516486Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6516601Z             }
2022-11-23T01:30:19.6516712Z             
2022-11-23T01:30:19.6516835Z  - 
2022-11-23T01:30:19.6517052Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6517170Z             {
2022-11-23T01:30:19.6517424Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6517598Z                 'code': None,
2022-11-23T01:30:19.6517968Z                 'obj_weakref': <weakref at 0x7ff59c14f1a0; to 'Tensor' at 0x7ff5a84e2ca0>
2022-11-23T01:30:19.6518419Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6518537Z             }
2022-11-23T01:30:19.6518646Z             
2022-11-23T01:30:19.6518769Z  - 
2022-11-23T01:30:19.6518980Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6519077Z             {
2022-11-23T01:30:19.6519312Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6519612Z                 'code': ['___check_obj_id(model, 140693062860704)'],
2022-11-23T01:30:19.6520004Z                 'obj_weakref': <weakref at 0x7ff5a81ba390; to 'Sequential' at 0x7ff5a808bfa0>
2022-11-23T01:30:19.6520511Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6520617Z             }
2022-11-23T01:30:19.6520716Z             
2022-11-23T01:30:19.6520825Z  - 
2022-11-23T01:30:19.6521035Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6521143Z             {
2022-11-23T01:30:19.6521369Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6521739Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6521939Z                 'obj_weakref': None
2022-11-23T01:30:19.6522317Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6522408Z             }
2022-11-23T01:30:19.6522514Z             
2022-11-23T01:30:19.6522714Z  - 
2022-11-23T01:30:19.6522964Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6523070Z             {
2022-11-23T01:30:19.6523277Z                 'guard_types': None,
2022-11-23T01:30:19.6523464Z                 'code': None,
2022-11-23T01:30:19.6523647Z                 'obj_weakref': None
2022-11-23T01:30:19.6523849Z                 'guarded_class': None
2022-11-23T01:30:19.6523953Z             }
2022-11-23T01:30:19.6524058Z             
2022-11-23T01:30:19.6524173Z  - 
2022-11-23T01:30:19.6524425Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6524529Z             {
2022-11-23T01:30:19.6524724Z                 'guard_types': None,
2022-11-23T01:30:19.6524907Z                 'code': None,
2022-11-23T01:30:19.6525115Z                 'obj_weakref': None
2022-11-23T01:30:19.6525322Z                 'guarded_class': None
2022-11-23T01:30:19.6525424Z             }
2022-11-23T01:30:19.6525529Z             
2022-11-23T01:30:19.6525990Z [2022-11-23 01:23:23,201] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 120
2022-11-23T01:30:19.6526678Z [2022-11-23 01:23:23,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cps2wgjnzsis5cucfgvykq4vtngasrlhca36hb5lbgqitxhadpif.py
2022-11-23T01:30:19.6527146Z [2022-11-23 01:23:23,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 120
2022-11-23T01:30:19.6527558Z [2022-11-23 01:23:23,362] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6528118Z [2022-11-23 01:23:23,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6528497Z [2022-11-23 01:23:23,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6528922Z [2022-11-23 01:23:23,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6529395Z [2022-11-23 01:23:23,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6529970Z [2022-11-23 01:23:23,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6530586Z [2022-11-23 01:23:23,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6531133Z [2022-11-23 01:23:23,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6531543Z [2022-11-23 01:23:23,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6531939Z [2022-11-23 01:23:23,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6532381Z [2022-11-23 01:23:23,378] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6532803Z [2022-11-23 01:23:23,423] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6533186Z [2022-11-23 01:23:23,423] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6533392Z  __compiled_fn_122 <eval_with_key>.1076 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6533524Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6533686Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6533840Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6533850Z 
2022-11-23T01:30:19.6534449Z [2022-11-23 01:23:23,424] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6534609Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6534749Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6534891Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6535087Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6535225Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6535369Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6535477Z              12 RETURN_VALUE
2022-11-23T01:30:19.6535487Z 
2022-11-23T01:30:19.6535593Z  
2022-11-23T01:30:19.6536121Z [2022-11-23 01:23:23,424] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6536298Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_122)
2022-11-23T01:30:19.6536588Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6536729Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6536846Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6536984Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6537108Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6537229Z              12 RETURN_VALUE
2022-11-23T01:30:19.6537238Z 
2022-11-23T01:30:19.6537334Z  
2022-11-23T01:30:19.6537654Z [2022-11-23 01:23:23,425] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6537772Z  - 
2022-11-23T01:30:19.6537978Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6538081Z             {
2022-11-23T01:30:19.6538301Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6538633Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6538842Z                 'obj_weakref': None
2022-11-23T01:30:19.6539226Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6539338Z             }
2022-11-23T01:30:19.6539444Z             
2022-11-23T01:30:19.6539566Z  - 
2022-11-23T01:30:19.6539763Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6539864Z             {
2022-11-23T01:30:19.6540098Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6540279Z                 'code': None,
2022-11-23T01:30:19.6540611Z                 'obj_weakref': <weakref at 0x7ff59c126430; to 'Tensor' at 0x7ff5a8314950>
2022-11-23T01:30:19.6541034Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6541145Z             }
2022-11-23T01:30:19.6541238Z             
2022-11-23T01:30:19.6541357Z  - 
2022-11-23T01:30:19.6541570Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6541679Z             {
2022-11-23T01:30:19.6541900Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6542179Z                 'code': ['___check_obj_id(model, 140693062860704)'],
2022-11-23T01:30:19.6542548Z                 'obj_weakref': <weakref at 0x7ff5a81ba390; to 'Sequential' at 0x7ff5a808bfa0>
2022-11-23T01:30:19.6542934Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6543037Z             }
2022-11-23T01:30:19.6543146Z             
2022-11-23T01:30:19.6543267Z  - 
2022-11-23T01:30:19.6543491Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6543599Z             {
2022-11-23T01:30:19.6543940Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6544317Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6544524Z                 'obj_weakref': None
2022-11-23T01:30:19.6544917Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6545020Z             }
2022-11-23T01:30:19.6545122Z             
2022-11-23T01:30:19.6545241Z  - 
2022-11-23T01:30:19.6545483Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6545564Z             {
2022-11-23T01:30:19.6545760Z                 'guard_types': None,
2022-11-23T01:30:19.6545936Z                 'code': None,
2022-11-23T01:30:19.6546126Z                 'obj_weakref': None
2022-11-23T01:30:19.6546440Z                 'guarded_class': None
2022-11-23T01:30:19.6546548Z             }
2022-11-23T01:30:19.6546657Z             
2022-11-23T01:30:19.6546763Z  - 
2022-11-23T01:30:19.6547021Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6547125Z             {
2022-11-23T01:30:19.6547349Z                 'guard_types': None,
2022-11-23T01:30:19.6547536Z                 'code': None,
2022-11-23T01:30:19.6547745Z                 'obj_weakref': None
2022-11-23T01:30:19.6547933Z                 'guarded_class': None
2022-11-23T01:30:19.6548031Z             }
2022-11-23T01:30:19.6548139Z             
2022-11-23T01:30:19.6548578Z [2022-11-23 01:23:23,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 121
2022-11-23T01:30:19.6549211Z [2022-11-23 01:23:23,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5q/c5qdg5qds3n32wjlryyenwdn56jfo54wfo5haqjrapk7z6li5y5d.py
2022-11-23T01:30:19.6549678Z [2022-11-23 01:23:23,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 121
2022-11-23T01:30:19.6550092Z [2022-11-23 01:23:23,732] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6550656Z [2022-11-23 01:23:23,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6551028Z [2022-11-23 01:23:23,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6551457Z [2022-11-23 01:23:23,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6551919Z [2022-11-23 01:23:23,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6552476Z [2022-11-23 01:23:23,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6553088Z [2022-11-23 01:23:23,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6553668Z [2022-11-23 01:23:23,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6554185Z [2022-11-23 01:23:23,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6554607Z [2022-11-23 01:23:23,758] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6555061Z [2022-11-23 01:23:23,760] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6555500Z [2022-11-23 01:23:23,878] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6555832Z [2022-11-23 01:23:23,879] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6556049Z  __compiled_fn_123 <eval_with_key>.1087 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6556207Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6556376Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6556641Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6556652Z 
2022-11-23T01:30:19.6557240Z [2022-11-23 01:23:23,879] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6557392Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6557534Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6557674Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6557810Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6557949Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6558095Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6558218Z              12 RETURN_VALUE
2022-11-23T01:30:19.6558228Z 
2022-11-23T01:30:19.6558391Z  
2022-11-23T01:30:19.6558990Z [2022-11-23 01:23:23,879] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6559176Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_123)
2022-11-23T01:30:19.6559315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6559467Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6559593Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6559734Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6559884Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6560006Z              12 RETURN_VALUE
2022-11-23T01:30:19.6560015Z 
2022-11-23T01:30:19.6560114Z  
2022-11-23T01:30:19.6560427Z [2022-11-23 01:23:23,880] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6560542Z  - 
2022-11-23T01:30:19.6560753Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6560860Z             {
2022-11-23T01:30:19.6561109Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6561422Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6561637Z                 'obj_weakref': None
2022-11-23T01:30:19.6562017Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6562113Z             }
2022-11-23T01:30:19.6562218Z             
2022-11-23T01:30:19.6562335Z  - 
2022-11-23T01:30:19.6562553Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6562656Z             {
2022-11-23T01:30:19.6562905Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6563071Z                 'code': None,
2022-11-23T01:30:19.6563426Z                 'obj_weakref': <weakref at 0x7ff59c14cdb0; to 'Tensor' at 0x7ff58fdc0360>
2022-11-23T01:30:19.6563865Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6563984Z             }
2022-11-23T01:30:19.6564094Z             
2022-11-23T01:30:19.6564219Z  - 
2022-11-23T01:30:19.6564422Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6564508Z             {
2022-11-23T01:30:19.6564745Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6565028Z                 'code': ['___check_obj_id(model, 140693064517088)'],
2022-11-23T01:30:19.6565409Z                 'obj_weakref': <weakref at 0x7ff5a816df80; to 'Sequential' at 0x7ff5a82205e0>
2022-11-23T01:30:19.6565817Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6565929Z             }
2022-11-23T01:30:19.6566036Z             
2022-11-23T01:30:19.6566150Z  - 
2022-11-23T01:30:19.6566352Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6566459Z             {
2022-11-23T01:30:19.6566694Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6567084Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6567309Z                 'obj_weakref': None
2022-11-23T01:30:19.6567792Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6567901Z             }
2022-11-23T01:30:19.6567995Z             
2022-11-23T01:30:19.6568113Z  - 
2022-11-23T01:30:19.6568366Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6568471Z             {
2022-11-23T01:30:19.6568682Z                 'guard_types': None,
2022-11-23T01:30:19.6568868Z                 'code': None,
2022-11-23T01:30:19.6569059Z                 'obj_weakref': None
2022-11-23T01:30:19.6569274Z                 'guarded_class': None
2022-11-23T01:30:19.6569387Z             }
2022-11-23T01:30:19.6569500Z             
2022-11-23T01:30:19.6569626Z  - 
2022-11-23T01:30:19.6569878Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6569985Z             {
2022-11-23T01:30:19.6570184Z                 'guard_types': None,
2022-11-23T01:30:19.6570445Z                 'code': None,
2022-11-23T01:30:19.6570636Z                 'obj_weakref': None
2022-11-23T01:30:19.6570838Z                 'guarded_class': None
2022-11-23T01:30:19.6570942Z             }
2022-11-23T01:30:19.6571045Z             
2022-11-23T01:30:19.6571512Z [2022-11-23 01:23:23,889] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 122
2022-11-23T01:30:19.6571522Z 
2022-11-23T01:30:19.6571671Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6571783Z import torch
2022-11-23T01:30:19.6571897Z import random
2022-11-23T01:30:19.6572089Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6572283Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6572291Z 
2022-11-23T01:30:19.6572419Z aten = torch.ops.aten
2022-11-23T01:30:19.6572645Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6572796Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6572808Z 
2022-11-23T01:30:19.6572816Z 
2022-11-23T01:30:19.6572940Z async_compile.wait(globals())
2022-11-23T01:30:19.6573060Z del async_compile
2022-11-23T01:30:19.6573068Z 
2022-11-23T01:30:19.6573184Z def call(args):
2022-11-23T01:30:19.6573389Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6573503Z     args.clear()
2022-11-23T01:30:19.6573736Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6573931Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6574049Z     del arg0_1
2022-11-23T01:30:19.6574144Z     del arg1_1
2022-11-23T01:30:19.6574254Z     del arg7_1
2022-11-23T01:30:19.6574372Z     return (buf0, )
2022-11-23T01:30:19.6574381Z 
2022-11-23T01:30:19.6574388Z 
2022-11-23T01:30:19.6574515Z if __name__ == "__main__":
2022-11-23T01:30:19.6574714Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6574924Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6575336Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6575656Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6575998Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6576331Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6576824Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6577220Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6577604Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6578052Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6578310Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6578326Z 
2022-11-23T01:30:19.6578333Z 
2022-11-23T01:30:19.6578491Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6578723Z import torch
2022-11-23T01:30:19.6578850Z import random
2022-11-23T01:30:19.6579050Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6579254Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6579262Z 
2022-11-23T01:30:19.6579391Z aten = torch.ops.aten
2022-11-23T01:30:19.6579622Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6579773Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6579782Z 
2022-11-23T01:30:19.6579789Z 
2022-11-23T01:30:19.6580029Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6580353Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6580548Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6580810Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6580911Z {
2022-11-23T01:30:19.6581078Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6581177Z     {
2022-11-23T01:30:19.6581307Z         #pragma omp for 
2022-11-23T01:30:19.6581429Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.6581535Z         {
2022-11-23T01:30:19.6581666Z             #pragma GCC ivdep
2022-11-23T01:30:19.6581810Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6581915Z             {
2022-11-23T01:30:19.6582022Z                 {
2022-11-23T01:30:19.6582117Z                     {
2022-11-23T01:30:19.6582290Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:30:19.6582453Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6582567Z                     }
2022-11-23T01:30:19.6582688Z                 }
2022-11-23T01:30:19.6582803Z             }
2022-11-23T01:30:19.6582911Z         }
2022-11-23T01:30:19.6583001Z     }
2022-11-23T01:30:19.6583111Z }
2022-11-23T01:30:19.6583277Z ''')
2022-11-23T01:30:19.6583286Z 
2022-11-23T01:30:19.6583293Z 
2022-11-23T01:30:19.6583438Z async_compile.wait(globals())
2022-11-23T01:30:19.6583557Z del async_compile
2022-11-23T01:30:19.6583563Z 
2022-11-23T01:30:19.6583675Z def call(args):
2022-11-23T01:30:19.6583863Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6583983Z     args.clear()
2022-11-23T01:30:19.6584386Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6584608Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6584719Z     del arg7_1
2022-11-23T01:30:19.6584954Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6585139Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6585246Z     del arg0_1
2022-11-23T01:30:19.6585362Z     del arg1_1
2022-11-23T01:30:19.6585466Z     return (buf1, )
2022-11-23T01:30:19.6585475Z 
2022-11-23T01:30:19.6585496Z 
2022-11-23T01:30:19.6585606Z if __name__ == "__main__":
2022-11-23T01:30:19.6585798Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6585998Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6586391Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6586739Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6587077Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6587402Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6587717Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6588045Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6588358Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6588862Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6589133Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6589142Z 
2022-11-23T01:30:19.6589148Z 
2022-11-23T01:30:19.6589305Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6589426Z import torch
2022-11-23T01:30:19.6589541Z import random
2022-11-23T01:30:19.6589728Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6589931Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6589939Z 
2022-11-23T01:30:19.6590069Z aten = torch.ops.aten
2022-11-23T01:30:19.6590297Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6590450Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6590461Z 
2022-11-23T01:30:19.6590522Z 
2022-11-23T01:30:19.6590674Z async_compile.wait(globals())
2022-11-23T01:30:19.6590798Z del async_compile
2022-11-23T01:30:19.6590807Z 
2022-11-23T01:30:19.6590952Z def call(args):
2022-11-23T01:30:19.6591158Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6591267Z     args.clear()
2022-11-23T01:30:19.6591513Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6591701Z     assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T01:30:19.6591811Z     del arg0_1
2022-11-23T01:30:19.6591917Z     del arg1_1
2022-11-23T01:30:19.6592019Z     del arg7_1
2022-11-23T01:30:19.6592127Z     return (buf0, )
2022-11-23T01:30:19.6592136Z 
2022-11-23T01:30:19.6592143Z 
2022-11-23T01:30:19.6592251Z if __name__ == "__main__":
2022-11-23T01:30:19.6592441Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6592645Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6593049Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6593371Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6593688Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6594122Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6594458Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6594770Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6595083Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6595484Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6595743Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6595758Z 
2022-11-23T01:30:19.6595767Z 
2022-11-23T01:30:19.6595936Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6596054Z import torch
2022-11-23T01:30:19.6596177Z import random
2022-11-23T01:30:19.6596378Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6596580Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6596589Z 
2022-11-23T01:30:19.6596719Z aten = torch.ops.aten
2022-11-23T01:30:19.6596931Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6597080Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6597088Z 
2022-11-23T01:30:19.6597096Z 
2022-11-23T01:30:19.6597341Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6597690Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6597892Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6598055Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6598140Z {
2022-11-23T01:30:19.6598290Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6598390Z     {
2022-11-23T01:30:19.6598641Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.6598772Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.6598874Z         {
2022-11-23T01:30:19.6599015Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6599104Z             {
2022-11-23T01:30:19.6599211Z                 {
2022-11-23T01:30:19.6599319Z                     {
2022-11-23T01:30:19.6599488Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:30:19.6599645Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6599754Z                     }
2022-11-23T01:30:19.6599862Z                 }
2022-11-23T01:30:19.6599952Z             }
2022-11-23T01:30:19.6600052Z         }
2022-11-23T01:30:19.6600148Z     }
2022-11-23T01:30:19.6600243Z }
2022-11-23T01:30:19.6600395Z ''')
2022-11-23T01:30:19.6600482Z 
2022-11-23T01:30:19.6600488Z 
2022-11-23T01:30:19.6600650Z async_compile.wait(globals())
2022-11-23T01:30:19.6600772Z del async_compile
2022-11-23T01:30:19.6600781Z 
2022-11-23T01:30:19.6600891Z def call(args):
2022-11-23T01:30:19.6601098Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6601223Z     args.clear()
2022-11-23T01:30:19.6601660Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6601888Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6602004Z     del arg7_1
2022-11-23T01:30:19.6602247Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6602432Z     assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T01:30:19.6602552Z     del arg0_1
2022-11-23T01:30:19.6602667Z     del arg1_1
2022-11-23T01:30:19.6602792Z     return (buf1, )
2022-11-23T01:30:19.6602805Z 
2022-11-23T01:30:19.6602812Z 
2022-11-23T01:30:19.6602943Z if __name__ == "__main__":
2022-11-23T01:30:19.6603138Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6603362Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6603754Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6604075Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6604407Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6604724Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6605047Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6605369Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6605670Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6606062Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6606339Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6606349Z 
2022-11-23T01:30:19.6606992Z [2022-11-23 01:23:23,895] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfiiz3sw7ji5ibt2tuewxyatbmckziut6z4qnguzegvb5mquwmvm.py
2022-11-23T01:30:19.6607452Z [2022-11-23 01:23:23,895] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 122
2022-11-23T01:30:19.6607852Z [2022-11-23 01:23:24,539] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6608413Z [2022-11-23 01:23:24,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6608804Z [2022-11-23 01:23:24,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6609245Z [2022-11-23 01:23:24,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6609809Z [2022-11-23 01:23:24,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6610352Z [2022-11-23 01:23:24,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6610971Z [2022-11-23 01:23:24,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6611532Z [2022-11-23 01:23:24,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6611960Z [2022-11-23 01:23:24,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6612450Z [2022-11-23 01:23:24,556] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6612902Z [2022-11-23 01:23:24,556] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6613342Z [2022-11-23 01:23:24,668] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6613679Z [2022-11-23 01:23:24,669] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6613918Z  __compiled_fn_124 <eval_with_key>.1098 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6614076Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6614248Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6614410Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6614420Z 
2022-11-23T01:30:19.6614956Z [2022-11-23 01:23:24,669] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6615113Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6615273Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6615412Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6615560Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6615693Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6615832Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6615954Z              12 RETURN_VALUE
2022-11-23T01:30:19.6615963Z 
2022-11-23T01:30:19.6616038Z  
2022-11-23T01:30:19.6616785Z [2022-11-23 01:23:24,669] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6616975Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_124)
2022-11-23T01:30:19.6617121Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6617268Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6617399Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6617538Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6617672Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6617796Z              12 RETURN_VALUE
2022-11-23T01:30:19.6617805Z 
2022-11-23T01:30:19.6617900Z  
2022-11-23T01:30:19.6618225Z [2022-11-23 01:23:24,670] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6618345Z  - 
2022-11-23T01:30:19.6618549Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6618655Z             {
2022-11-23T01:30:19.6618879Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6619194Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6619399Z                 'obj_weakref': None
2022-11-23T01:30:19.6619792Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6619897Z             }
2022-11-23T01:30:19.6620000Z             
2022-11-23T01:30:19.6620122Z  - 
2022-11-23T01:30:19.6620324Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6620431Z             {
2022-11-23T01:30:19.6620795Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6620988Z                 'code': None,
2022-11-23T01:30:19.6621341Z                 'obj_weakref': <weakref at 0x7ff58f985120; to 'Tensor' at 0x7ff59c047ab0>
2022-11-23T01:30:19.6621784Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6621888Z             }
2022-11-23T01:30:19.6621992Z             
2022-11-23T01:30:19.6622092Z  - 
2022-11-23T01:30:19.6622299Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6622416Z             {
2022-11-23T01:30:19.6622644Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6622931Z                 'code': ['___check_obj_id(model, 140693064517088)'],
2022-11-23T01:30:19.6623326Z                 'obj_weakref': <weakref at 0x7ff5a816df80; to 'Sequential' at 0x7ff5a82205e0>
2022-11-23T01:30:19.6623834Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6623934Z             }
2022-11-23T01:30:19.6624043Z             
2022-11-23T01:30:19.6624182Z  - 
2022-11-23T01:30:19.6624391Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6624497Z             {
2022-11-23T01:30:19.6624736Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6625125Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6625310Z                 'obj_weakref': None
2022-11-23T01:30:19.6625691Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6625801Z             }
2022-11-23T01:30:19.6625911Z             
2022-11-23T01:30:19.6626034Z  - 
2022-11-23T01:30:19.6626282Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6626383Z             {
2022-11-23T01:30:19.6626564Z                 'guard_types': None,
2022-11-23T01:30:19.6626737Z                 'code': None,
2022-11-23T01:30:19.6626933Z                 'obj_weakref': None
2022-11-23T01:30:19.6627146Z                 'guarded_class': None
2022-11-23T01:30:19.6627254Z             }
2022-11-23T01:30:19.6627353Z             
2022-11-23T01:30:19.6627455Z  - 
2022-11-23T01:30:19.6627697Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6627796Z             {
2022-11-23T01:30:19.6628001Z                 'guard_types': None,
2022-11-23T01:30:19.6628177Z                 'code': None,
2022-11-23T01:30:19.6628381Z                 'obj_weakref': None
2022-11-23T01:30:19.6628589Z                 'guarded_class': None
2022-11-23T01:30:19.6628681Z             }
2022-11-23T01:30:19.6628789Z             
2022-11-23T01:30:19.6629254Z [2022-11-23 01:23:24,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 123
2022-11-23T01:30:19.6629915Z [2022-11-23 01:23:24,692] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6m/c6m7vgjhnbiovv75qpokuda2m5qv5dzmmwow6k5do5csgs2gsjnk.py
2022-11-23T01:30:19.6630399Z [2022-11-23 01:23:24,692] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 123
2022-11-23T01:30:19.6630825Z [2022-11-23 01:23:25,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6631397Z [2022-11-23 01:23:25,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6631777Z [2022-11-23 01:23:25,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6632188Z [2022-11-23 01:23:25,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6632619Z [2022-11-23 01:23:25,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6633179Z [2022-11-23 01:23:25,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6633964Z [2022-11-23 01:23:25,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6634557Z [2022-11-23 01:23:25,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6634982Z [2022-11-23 01:23:25,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6635399Z [2022-11-23 01:23:25,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6635851Z [2022-11-23 01:23:25,212] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6636298Z [2022-11-23 01:23:25,244] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6636707Z [2022-11-23 01:23:25,244] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6636917Z  __compiled_fn_125 <eval_with_key>.1109 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6637068Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6637239Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6637406Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6637416Z 
2022-11-23T01:30:19.6638018Z [2022-11-23 01:23:25,244] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6638168Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6638315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6638456Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6638595Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6638739Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6638878Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6639004Z              12 RETURN_VALUE
2022-11-23T01:30:19.6639018Z 
2022-11-23T01:30:19.6639123Z  
2022-11-23T01:30:19.6639738Z [2022-11-23 01:23:25,244] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6639925Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_125)
2022-11-23T01:30:19.6640080Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6640220Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6640348Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6640498Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6640657Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6640791Z              12 RETURN_VALUE
2022-11-23T01:30:19.6640800Z 
2022-11-23T01:30:19.6640901Z  
2022-11-23T01:30:19.6641221Z [2022-11-23 01:23:25,245] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6641324Z  - 
2022-11-23T01:30:19.6641535Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6641647Z             {
2022-11-23T01:30:19.6641883Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6642217Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6642427Z                 'obj_weakref': None
2022-11-23T01:30:19.6642804Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6642893Z             }
2022-11-23T01:30:19.6643003Z             
2022-11-23T01:30:19.6643126Z  - 
2022-11-23T01:30:19.6643346Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6643453Z             {
2022-11-23T01:30:19.6643710Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6643899Z                 'code': None,
2022-11-23T01:30:19.6644263Z                 'obj_weakref': <weakref at 0x7ff59c02afc0; to 'Tensor' at 0x7ff58fdc1b20>
2022-11-23T01:30:19.6644725Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6644953Z             }
2022-11-23T01:30:19.6645062Z             
2022-11-23T01:30:19.6645186Z  - 
2022-11-23T01:30:19.6645405Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6645514Z             {
2022-11-23T01:30:19.6645735Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6646041Z                 'code': ['___check_obj_id(model, 140693067880608)'],
2022-11-23T01:30:19.6646428Z                 'obj_weakref': <weakref at 0x7ff58f987d30; to 'Sequential' at 0x7ff5a85558a0>
2022-11-23T01:30:19.6646841Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6646952Z             }
2022-11-23T01:30:19.6647062Z             
2022-11-23T01:30:19.6647179Z  - 
2022-11-23T01:30:19.6647378Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6647553Z             {
2022-11-23T01:30:19.6647804Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6648211Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6648424Z                 'obj_weakref': None
2022-11-23T01:30:19.6648819Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6648928Z             }
2022-11-23T01:30:19.6649015Z             
2022-11-23T01:30:19.6649136Z  - 
2022-11-23T01:30:19.6649393Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6649508Z             {
2022-11-23T01:30:19.6649719Z                 'guard_types': None,
2022-11-23T01:30:19.6649913Z                 'code': None,
2022-11-23T01:30:19.6650127Z                 'obj_weakref': None
2022-11-23T01:30:19.6650332Z                 'guarded_class': None
2022-11-23T01:30:19.6650442Z             }
2022-11-23T01:30:19.6650558Z             
2022-11-23T01:30:19.6650680Z  - 
2022-11-23T01:30:19.6650945Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6651056Z             {
2022-11-23T01:30:19.6651279Z                 'guard_types': None,
2022-11-23T01:30:19.6651456Z                 'code': None,
2022-11-23T01:30:19.6651670Z                 'obj_weakref': None
2022-11-23T01:30:19.6651891Z                 'guarded_class': None
2022-11-23T01:30:19.6652001Z             }
2022-11-23T01:30:19.6652107Z             
2022-11-23T01:30:19.6652582Z [2022-11-23 01:23:25,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 124
2022-11-23T01:30:19.6653239Z [2022-11-23 01:23:25,260] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dny33z2ywgm7ehimowpu726zvfz73i6tpu5kcqgyvqvi33v4ip.py
2022-11-23T01:30:19.6653709Z [2022-11-23 01:23:25,260] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 124
2022-11-23T01:30:19.6654141Z [2022-11-23 01:23:25,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6654732Z [2022-11-23 01:23:25,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6655135Z [2022-11-23 01:23:25,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6655548Z [2022-11-23 01:23:25,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6656026Z [2022-11-23 01:23:25,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6656718Z [2022-11-23 01:23:25,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6657335Z [2022-11-23 01:23:25,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6657881Z [2022-11-23 01:23:25,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6658425Z [2022-11-23 01:23:25,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6658823Z [2022-11-23 01:23:25,395] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6659271Z [2022-11-23 01:23:25,395] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6659702Z [2022-11-23 01:23:25,427] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6660023Z [2022-11-23 01:23:25,428] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6660250Z  __compiled_fn_126 <eval_with_key>.1120 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6660406Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6660656Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6660820Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6660831Z 
2022-11-23T01:30:19.6661424Z [2022-11-23 01:23:25,428] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6661565Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6661717Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6661855Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6662001Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6662138Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6662285Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6662407Z              12 RETURN_VALUE
2022-11-23T01:30:19.6662416Z 
2022-11-23T01:30:19.6662504Z  
2022-11-23T01:30:19.6663094Z [2022-11-23 01:23:25,428] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6663281Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_126)
2022-11-23T01:30:19.6663427Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6663572Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6663694Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6663845Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6663993Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6664105Z              12 RETURN_VALUE
2022-11-23T01:30:19.6664114Z 
2022-11-23T01:30:19.6664218Z  
2022-11-23T01:30:19.6664547Z [2022-11-23 01:23:25,430] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6664665Z  - 
2022-11-23T01:30:19.6664872Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6664977Z             {
2022-11-23T01:30:19.6665220Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6665528Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6665739Z                 'obj_weakref': None
2022-11-23T01:30:19.6666138Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6666248Z             }
2022-11-23T01:30:19.6666357Z             
2022-11-23T01:30:19.6666474Z  - 
2022-11-23T01:30:19.6666694Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6666791Z             {
2022-11-23T01:30:19.6667048Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6667243Z                 'code': None,
2022-11-23T01:30:19.6667611Z                 'obj_weakref': <weakref at 0x7ff59c1272e0; to 'Tensor' at 0x7ff5a8480680>
2022-11-23T01:30:19.6668039Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6668137Z             }
2022-11-23T01:30:19.6668238Z             
2022-11-23T01:30:19.6668337Z  - 
2022-11-23T01:30:19.6668535Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6668641Z             {
2022-11-23T01:30:19.6668874Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6669247Z                 'code': ['___check_obj_id(model, 140693067880608)'],
2022-11-23T01:30:19.6669627Z                 'obj_weakref': <weakref at 0x7ff58f987d30; to 'Sequential' at 0x7ff5a85558a0>
2022-11-23T01:30:19.6670032Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6670127Z             }
2022-11-23T01:30:19.6670233Z             
2022-11-23T01:30:19.6670356Z  - 
2022-11-23T01:30:19.6670569Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6670670Z             {
2022-11-23T01:30:19.6670873Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6671248Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6671415Z                 'obj_weakref': None
2022-11-23T01:30:19.6671851Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6671954Z             }
2022-11-23T01:30:19.6672054Z             
2022-11-23T01:30:19.6672174Z  - 
2022-11-23T01:30:19.6672421Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6672521Z             {
2022-11-23T01:30:19.6672710Z                 'guard_types': None,
2022-11-23T01:30:19.6672888Z                 'code': None,
2022-11-23T01:30:19.6673091Z                 'obj_weakref': None
2022-11-23T01:30:19.6673302Z                 'guarded_class': None
2022-11-23T01:30:19.6673403Z             }
2022-11-23T01:30:19.6673507Z             
2022-11-23T01:30:19.6673623Z  - 
2022-11-23T01:30:19.6673954Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6674065Z             {
2022-11-23T01:30:19.6674272Z                 'guard_types': None,
2022-11-23T01:30:19.6674452Z                 'code': None,
2022-11-23T01:30:19.6674662Z                 'obj_weakref': None
2022-11-23T01:30:19.6674873Z                 'guarded_class': None
2022-11-23T01:30:19.6674964Z             }
2022-11-23T01:30:19.6675064Z             
2022-11-23T01:30:19.6675533Z [2022-11-23 01:23:25,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 125
2022-11-23T01:30:19.6676192Z [2022-11-23 01:23:25,467] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nu/cnud3cwsrwiz22pnsyne5bl5wcerpg5jihj6eys6jyzjb57n3c7c.py
2022-11-23T01:30:19.6676671Z [2022-11-23 01:23:25,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 125
2022-11-23T01:30:19.6677089Z [2022-11-23 01:23:25,739] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6677650Z [2022-11-23 01:23:25,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6678013Z [2022-11-23 01:23:25,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6678440Z [2022-11-23 01:23:25,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6678910Z [2022-11-23 01:23:25,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6679478Z [2022-11-23 01:23:25,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6680086Z [2022-11-23 01:23:25,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6680667Z [2022-11-23 01:23:25,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6681107Z [2022-11-23 01:23:25,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6681521Z [2022-11-23 01:23:25,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6682057Z [2022-11-23 01:23:25,755] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6682509Z [2022-11-23 01:23:25,850] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6682844Z [2022-11-23 01:23:25,850] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6683073Z  __compiled_fn_127 <eval_with_key>.1131 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6683217Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6683386Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6683549Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6683561Z 
2022-11-23T01:30:19.6684158Z [2022-11-23 01:23:25,851] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6684395Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6684543Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6684690Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6684848Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6684980Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6685131Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6685267Z              12 RETURN_VALUE
2022-11-23T01:30:19.6685276Z 
2022-11-23T01:30:19.6685382Z  
2022-11-23T01:30:19.6685959Z [2022-11-23 01:23:25,851] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6686136Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_127)
2022-11-23T01:30:19.6686278Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6686411Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6686543Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6686686Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6686839Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6686968Z              12 RETURN_VALUE
2022-11-23T01:30:19.6686978Z 
2022-11-23T01:30:19.6687082Z  
2022-11-23T01:30:19.6687422Z [2022-11-23 01:23:25,852] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6687526Z  - 
2022-11-23T01:30:19.6687730Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6687839Z             {
2022-11-23T01:30:19.6688090Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6688398Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6688597Z                 'obj_weakref': None
2022-11-23T01:30:19.6688982Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6689087Z             }
2022-11-23T01:30:19.6689172Z             
2022-11-23T01:30:19.6689288Z  - 
2022-11-23T01:30:19.6689506Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6689616Z             {
2022-11-23T01:30:19.6689880Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6690069Z                 'code': None,
2022-11-23T01:30:19.6690418Z                 'obj_weakref': <weakref at 0x7ff5a84e1620; to 'Tensor' at 0x7ff58fdc3060>
2022-11-23T01:30:19.6690871Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6690981Z             }
2022-11-23T01:30:19.6691086Z             
2022-11-23T01:30:19.6691207Z  - 
2022-11-23T01:30:19.6691426Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6691537Z             {
2022-11-23T01:30:19.6691766Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6692074Z                 'code': ['___check_obj_id(model, 140692657584640)'],
2022-11-23T01:30:19.6692450Z                 'obj_weakref': <weakref at 0x7ff5a816c590; to 'Sequential' at 0x7ff58fe0ba00>
2022-11-23T01:30:19.6692855Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6693043Z             }
2022-11-23T01:30:19.6693152Z             
2022-11-23T01:30:19.6693272Z  - 
2022-11-23T01:30:19.6693467Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6693568Z             {
2022-11-23T01:30:19.6693793Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6694176Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6694378Z                 'obj_weakref': None
2022-11-23T01:30:19.6694747Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6694862Z             }
2022-11-23T01:30:19.6694967Z             
2022-11-23T01:30:19.6695067Z  - 
2022-11-23T01:30:19.6695321Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6695426Z             {
2022-11-23T01:30:19.6695715Z                 'guard_types': None,
2022-11-23T01:30:19.6695899Z                 'code': None,
2022-11-23T01:30:19.6696097Z                 'obj_weakref': None
2022-11-23T01:30:19.6696303Z                 'guarded_class': None
2022-11-23T01:30:19.6696580Z             }
2022-11-23T01:30:19.6696669Z             
2022-11-23T01:30:19.6696767Z  - 
2022-11-23T01:30:19.6696982Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6697090Z             {
2022-11-23T01:30:19.6697305Z                 'guard_types': None,
2022-11-23T01:30:19.6697474Z                 'code': None,
2022-11-23T01:30:19.6697676Z                 'obj_weakref': None
2022-11-23T01:30:19.6697879Z                 'guarded_class': None
2022-11-23T01:30:19.6697978Z             }
2022-11-23T01:30:19.6698078Z             
2022-11-23T01:30:19.6698556Z [2022-11-23 01:23:25,861] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 126
2022-11-23T01:30:19.6698566Z 
2022-11-23T01:30:19.6698709Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6698806Z import torch
2022-11-23T01:30:19.6698922Z import random
2022-11-23T01:30:19.6699121Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6699318Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6699327Z 
2022-11-23T01:30:19.6699447Z aten = torch.ops.aten
2022-11-23T01:30:19.6699664Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6699810Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6699818Z 
2022-11-23T01:30:19.6699826Z 
2022-11-23T01:30:19.6699972Z async_compile.wait(globals())
2022-11-23T01:30:19.6700077Z del async_compile
2022-11-23T01:30:19.6700085Z 
2022-11-23T01:30:19.6700199Z def call(args):
2022-11-23T01:30:19.6700396Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6700521Z     args.clear()
2022-11-23T01:30:19.6700743Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6700942Z     assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T01:30:19.6701052Z     del arg0_1
2022-11-23T01:30:19.6701156Z     del arg1_1
2022-11-23T01:30:19.6701272Z     del arg7_1
2022-11-23T01:30:19.6701394Z     return (buf0, )
2022-11-23T01:30:19.6701403Z 
2022-11-23T01:30:19.6701411Z 
2022-11-23T01:30:19.6701543Z if __name__ == "__main__":
2022-11-23T01:30:19.6701738Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6701952Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6702351Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6702704Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6703032Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6703370Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6703696Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6704146Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6704460Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6704875Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6705136Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6705147Z 
2022-11-23T01:30:19.6705154Z 
2022-11-23T01:30:19.6705328Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6705447Z import torch
2022-11-23T01:30:19.6705554Z import random
2022-11-23T01:30:19.6705755Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6705962Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6705972Z 
2022-11-23T01:30:19.6706185Z aten = torch.ops.aten
2022-11-23T01:30:19.6706425Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6706590Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6706603Z 
2022-11-23T01:30:19.6706612Z 
2022-11-23T01:30:19.6706870Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6707243Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6707434Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6707596Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6707697Z {
2022-11-23T01:30:19.6707860Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6707971Z     {
2022-11-23T01:30:19.6708101Z         #pragma omp for 
2022-11-23T01:30:19.6708242Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.6708333Z         {
2022-11-23T01:30:19.6708475Z             #pragma GCC ivdep
2022-11-23T01:30:19.6708622Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6708731Z             {
2022-11-23T01:30:19.6708830Z                 {
2022-11-23T01:30:19.6708931Z                     {
2022-11-23T01:30:19.6709087Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:30:19.6709241Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6709345Z                     }
2022-11-23T01:30:19.6709450Z                 }
2022-11-23T01:30:19.6709556Z             }
2022-11-23T01:30:19.6709655Z         }
2022-11-23T01:30:19.6709750Z     }
2022-11-23T01:30:19.6709833Z }
2022-11-23T01:30:19.6709976Z ''')
2022-11-23T01:30:19.6709985Z 
2022-11-23T01:30:19.6709992Z 
2022-11-23T01:30:19.6710145Z async_compile.wait(globals())
2022-11-23T01:30:19.6710257Z del async_compile
2022-11-23T01:30:19.6710266Z 
2022-11-23T01:30:19.6710382Z def call(args):
2022-11-23T01:30:19.6710574Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6710684Z     args.clear()
2022-11-23T01:30:19.6711116Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6711332Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6711451Z     del arg7_1
2022-11-23T01:30:19.6711686Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6711882Z     assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T01:30:19.6711993Z     del arg0_1
2022-11-23T01:30:19.6712106Z     del arg1_1
2022-11-23T01:30:19.6712231Z     return (buf1, )
2022-11-23T01:30:19.6712239Z 
2022-11-23T01:30:19.6712246Z 
2022-11-23T01:30:19.6712366Z if __name__ == "__main__":
2022-11-23T01:30:19.6712549Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6712751Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6713143Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6713498Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6714011Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6714346Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6714655Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6714955Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6715268Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6715672Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6715926Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6715936Z 
2022-11-23T01:30:19.6715943Z 
2022-11-23T01:30:19.6716166Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6716286Z import torch
2022-11-23T01:30:19.6716403Z import random
2022-11-23T01:30:19.6716609Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6716792Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6716814Z 
2022-11-23T01:30:19.6716921Z aten = torch.ops.aten
2022-11-23T01:30:19.6717149Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6717310Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6717318Z 
2022-11-23T01:30:19.6717326Z 
2022-11-23T01:30:19.6717481Z async_compile.wait(globals())
2022-11-23T01:30:19.6717607Z del async_compile
2022-11-23T01:30:19.6717615Z 
2022-11-23T01:30:19.6717743Z def call(args):
2022-11-23T01:30:19.6717933Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6718045Z     args.clear()
2022-11-23T01:30:19.6718258Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6718460Z     assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T01:30:19.6718570Z     del arg0_1
2022-11-23T01:30:19.6718684Z     del arg1_1
2022-11-23T01:30:19.6718793Z     del arg7_1
2022-11-23T01:30:19.6718908Z     return (buf0, )
2022-11-23T01:30:19.6718916Z 
2022-11-23T01:30:19.6718923Z 
2022-11-23T01:30:19.6719047Z if __name__ == "__main__":
2022-11-23T01:30:19.6719220Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6719420Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6719824Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6720147Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6720475Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6720801Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6721132Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6721465Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6721766Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6722175Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6722440Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6722450Z 
2022-11-23T01:30:19.6722457Z 
2022-11-23T01:30:19.6722610Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6722729Z import torch
2022-11-23T01:30:19.6722843Z import random
2022-11-23T01:30:19.6723033Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6723242Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6723251Z 
2022-11-23T01:30:19.6723372Z aten = torch.ops.aten
2022-11-23T01:30:19.6723605Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6723749Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6723759Z 
2022-11-23T01:30:19.6723880Z 
2022-11-23T01:30:19.6724140Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6724475Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6724665Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6724832Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6724930Z {
2022-11-23T01:30:19.6725077Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6725172Z     {
2022-11-23T01:30:19.6725317Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.6725447Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.6725548Z         {
2022-11-23T01:30:19.6725695Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6725804Z             {
2022-11-23T01:30:19.6725975Z                 {
2022-11-23T01:30:19.6726082Z                     {
2022-11-23T01:30:19.6726253Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:30:19.6726428Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6726542Z                     }
2022-11-23T01:30:19.6726642Z                 }
2022-11-23T01:30:19.6726743Z             }
2022-11-23T01:30:19.6726830Z         }
2022-11-23T01:30:19.6726928Z     }
2022-11-23T01:30:19.6727024Z }
2022-11-23T01:30:19.6727176Z ''')
2022-11-23T01:30:19.6727185Z 
2022-11-23T01:30:19.6727191Z 
2022-11-23T01:30:19.6727339Z async_compile.wait(globals())
2022-11-23T01:30:19.6727453Z del async_compile
2022-11-23T01:30:19.6727461Z 
2022-11-23T01:30:19.6727570Z def call(args):
2022-11-23T01:30:19.6727744Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6727858Z     args.clear()
2022-11-23T01:30:19.6728264Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6728489Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6728603Z     del arg7_1
2022-11-23T01:30:19.6728834Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6729023Z     assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T01:30:19.6729118Z     del arg0_1
2022-11-23T01:30:19.6729229Z     del arg1_1
2022-11-23T01:30:19.6729346Z     return (buf1, )
2022-11-23T01:30:19.6729355Z 
2022-11-23T01:30:19.6729363Z 
2022-11-23T01:30:19.6729493Z if __name__ == "__main__":
2022-11-23T01:30:19.6729692Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6729899Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6730302Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6730632Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6730950Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6731276Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6731610Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6731932Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6732247Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6732661Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6732931Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6732941Z 
2022-11-23T01:30:19.6733638Z [2022-11-23 01:23:25,867] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqzpig3sjl3xvzyap6wdlrf42a7khowpaaq37r5xtpqtzayznvq.py
2022-11-23T01:30:19.6734137Z [2022-11-23 01:23:25,867] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 126
2022-11-23T01:30:19.6734630Z [2022-11-23 01:23:26,381] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6735211Z [2022-11-23 01:23:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6735592Z [2022-11-23 01:23:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6736043Z [2022-11-23 01:23:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6736684Z [2022-11-23 01:23:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6737250Z [2022-11-23 01:23:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6737971Z [2022-11-23 01:23:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6738558Z [2022-11-23 01:23:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6739020Z [2022-11-23 01:23:26,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6739456Z [2022-11-23 01:23:26,397] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6739911Z [2022-11-23 01:23:26,398] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6740367Z [2022-11-23 01:23:26,492] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6740709Z [2022-11-23 01:23:26,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6740949Z  __compiled_fn_128 <eval_with_key>.1142 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6741111Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6741284Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6741449Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6741458Z 
2022-11-23T01:30:19.6742052Z [2022-11-23 01:23:26,493] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6742209Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6742348Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6742497Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6742648Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6742797Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6742952Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6743086Z              12 RETURN_VALUE
2022-11-23T01:30:19.6743095Z 
2022-11-23T01:30:19.6743195Z  
2022-11-23T01:30:19.6743807Z [2022-11-23 01:23:26,493] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6743997Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_128)
2022-11-23T01:30:19.6744149Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6744302Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6744431Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6744576Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6744726Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6744839Z              12 RETURN_VALUE
2022-11-23T01:30:19.6744861Z 
2022-11-23T01:30:19.6744948Z  
2022-11-23T01:30:19.6745276Z [2022-11-23 01:23:26,494] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6745395Z  - 
2022-11-23T01:30:19.6745611Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6745722Z             {
2022-11-23T01:30:19.6745977Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6746427Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6746647Z                 'obj_weakref': None
2022-11-23T01:30:19.6747037Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6747150Z             }
2022-11-23T01:30:19.6747259Z             
2022-11-23T01:30:19.6747383Z  - 
2022-11-23T01:30:19.6747609Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6747706Z             {
2022-11-23T01:30:19.6747964Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6748157Z                 'code': None,
2022-11-23T01:30:19.6748529Z                 'obj_weakref': <weakref at 0x7ff58fd09fd0; to 'Tensor' at 0x7ff59c1277e0>
2022-11-23T01:30:19.6748981Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6749159Z             }
2022-11-23T01:30:19.6749267Z             
2022-11-23T01:30:19.6749395Z  - 
2022-11-23T01:30:19.6749594Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6749704Z             {
2022-11-23T01:30:19.6749944Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6750237Z                 'code': ['___check_obj_id(model, 140692657584640)'],
2022-11-23T01:30:19.6750610Z                 'obj_weakref': <weakref at 0x7ff5a816c590; to 'Sequential' at 0x7ff58fe0ba00>
2022-11-23T01:30:19.6751004Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6751103Z             }
2022-11-23T01:30:19.6751189Z             
2022-11-23T01:30:19.6751305Z  - 
2022-11-23T01:30:19.6751508Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6751614Z             {
2022-11-23T01:30:19.6751853Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6752228Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6752447Z                 'obj_weakref': None
2022-11-23T01:30:19.6752810Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6752910Z             }
2022-11-23T01:30:19.6753012Z             
2022-11-23T01:30:19.6753124Z  - 
2022-11-23T01:30:19.6753359Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6753476Z             {
2022-11-23T01:30:19.6753698Z                 'guard_types': None,
2022-11-23T01:30:19.6753971Z                 'code': None,
2022-11-23T01:30:19.6754181Z                 'obj_weakref': None
2022-11-23T01:30:19.6754387Z                 'guarded_class': None
2022-11-23T01:30:19.6754498Z             }
2022-11-23T01:30:19.6754620Z             
2022-11-23T01:30:19.6754755Z  - 
2022-11-23T01:30:19.6754994Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6755113Z             {
2022-11-23T01:30:19.6755318Z                 'guard_types': None,
2022-11-23T01:30:19.6755477Z                 'code': None,
2022-11-23T01:30:19.6755668Z                 'obj_weakref': None
2022-11-23T01:30:19.6755887Z                 'guarded_class': None
2022-11-23T01:30:19.6755982Z             }
2022-11-23T01:30:19.6756065Z             
2022-11-23T01:30:19.6756491Z [2022-11-23 01:23:26,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 127
2022-11-23T01:30:19.6757148Z [2022-11-23 01:23:26,517] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n2/cn2kopbznstlhm5vamkjzvmtgx6acqincsttr7s3pslkjgm5kefp.py
2022-11-23T01:30:19.6757622Z [2022-11-23 01:23:26,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 127
2022-11-23T01:30:19.6758045Z [2022-11-23 01:23:26,919] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6758619Z [2022-11-23 01:23:26,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6759113Z [2022-11-23 01:23:26,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6759561Z [2022-11-23 01:23:26,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6760056Z [2022-11-23 01:23:26,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6760595Z [2022-11-23 01:23:26,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6761212Z [2022-11-23 01:23:26,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6761749Z [2022-11-23 01:23:26,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6762259Z [2022-11-23 01:23:26,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6762657Z [2022-11-23 01:23:26,934] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6763102Z [2022-11-23 01:23:26,935] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6763534Z [2022-11-23 01:23:26,952] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6763862Z [2022-11-23 01:23:26,952] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6764093Z  __compiled_fn_129 <eval_with_key>.1153 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6764230Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6764399Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6764561Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6764576Z 
2022-11-23T01:30:19.6765174Z [2022-11-23 01:23:26,953] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6765330Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6765480Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6765616Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6765771Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6765899Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6766051Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6766173Z              12 RETURN_VALUE
2022-11-23T01:30:19.6766181Z 
2022-11-23T01:30:19.6766277Z  
2022-11-23T01:30:19.6766871Z [2022-11-23 01:23:26,953] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6767054Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_129)
2022-11-23T01:30:19.6767203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6767351Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6767462Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6767602Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6767754Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6767877Z              12 RETURN_VALUE
2022-11-23T01:30:19.6767887Z 
2022-11-23T01:30:19.6767989Z  
2022-11-23T01:30:19.6768315Z [2022-11-23 01:23:26,954] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6768432Z  - 
2022-11-23T01:30:19.6768621Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6768722Z             {
2022-11-23T01:30:19.6768962Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6769287Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6769492Z                 'obj_weakref': None
2022-11-23T01:30:19.6769878Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6769991Z             }
2022-11-23T01:30:19.6770169Z             
2022-11-23T01:30:19.6770294Z  - 
2022-11-23T01:30:19.6770507Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6770611Z             {
2022-11-23T01:30:19.6770862Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6771065Z                 'code': None,
2022-11-23T01:30:19.6771437Z                 'obj_weakref': <weakref at 0x7ff5a81e3ce0; to 'Tensor' at 0x7ff5a8858040>
2022-11-23T01:30:19.6771870Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6771979Z             }
2022-11-23T01:30:19.6772088Z             
2022-11-23T01:30:19.6772202Z  - 
2022-11-23T01:30:19.6772417Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6772525Z             {
2022-11-23T01:30:19.6772824Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6773087Z                 'code': ['___check_obj_id(model, 140692656876768)'],
2022-11-23T01:30:19.6773461Z                 'obj_weakref': <weakref at 0x7ff5a8540e00; to 'Sequential' at 0x7ff58fd5ece0>
2022-11-23T01:30:19.6773873Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6773977Z             }
2022-11-23T01:30:19.6774086Z             
2022-11-23T01:30:19.6774208Z  - 
2022-11-23T01:30:19.6774426Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6774518Z             {
2022-11-23T01:30:19.6774750Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6775119Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6775318Z                 'obj_weakref': None
2022-11-23T01:30:19.6775694Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6775801Z             }
2022-11-23T01:30:19.6775898Z             
2022-11-23T01:30:19.6776005Z  - 
2022-11-23T01:30:19.6776252Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6776362Z             {
2022-11-23T01:30:19.6776721Z                 'guard_types': None,
2022-11-23T01:30:19.6776900Z                 'code': None,
2022-11-23T01:30:19.6777097Z                 'obj_weakref': None
2022-11-23T01:30:19.6777300Z                 'guarded_class': None
2022-11-23T01:30:19.6777391Z             }
2022-11-23T01:30:19.6777490Z             
2022-11-23T01:30:19.6777605Z  - 
2022-11-23T01:30:19.6777860Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6777962Z             {
2022-11-23T01:30:19.6778164Z                 'guard_types': None,
2022-11-23T01:30:19.6778342Z                 'code': None,
2022-11-23T01:30:19.6778532Z                 'obj_weakref': None
2022-11-23T01:30:19.6778736Z                 'guarded_class': None
2022-11-23T01:30:19.6778842Z             }
2022-11-23T01:30:19.6778952Z             
2022-11-23T01:30:19.6779424Z [2022-11-23 01:23:26,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 128
2022-11-23T01:30:19.6780103Z [2022-11-23 01:23:26,968] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gh/cgh3iyyxa3iigurde7dsrbh6zfffru6hndv4r4lpimbdqdceqb75.py
2022-11-23T01:30:19.6780558Z [2022-11-23 01:23:26,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 128
2022-11-23T01:30:19.6780973Z [2022-11-23 01:23:27,098] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6781505Z [2022-11-23 01:23:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6781894Z [2022-11-23 01:23:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6782322Z [2022-11-23 01:23:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6782913Z [2022-11-23 01:23:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6783500Z [2022-11-23 01:23:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6784109Z [2022-11-23 01:23:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6784674Z [2022-11-23 01:23:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6785112Z [2022-11-23 01:23:27,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6785514Z [2022-11-23 01:23:27,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6786061Z [2022-11-23 01:23:27,114] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6786499Z [2022-11-23 01:23:27,133] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6786818Z [2022-11-23 01:23:27,133] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6787050Z  __compiled_fn_130 <eval_with_key>.1164 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6787199Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6787355Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6787515Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6787525Z 
2022-11-23T01:30:19.6788117Z [2022-11-23 01:23:27,133] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6788264Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6788399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6788539Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6788681Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6788821Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6788962Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6789086Z              12 RETURN_VALUE
2022-11-23T01:30:19.6789096Z 
2022-11-23T01:30:19.6789189Z  
2022-11-23T01:30:19.6789754Z [2022-11-23 01:23:27,134] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6789938Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_130)
2022-11-23T01:30:19.6790087Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6790231Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6790352Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6790494Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6790645Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6790766Z              12 RETURN_VALUE
2022-11-23T01:30:19.6790776Z 
2022-11-23T01:30:19.6790864Z  
2022-11-23T01:30:19.6791205Z [2022-11-23 01:23:27,134] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6791316Z  - 
2022-11-23T01:30:19.6791518Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6791623Z             {
2022-11-23T01:30:19.6791864Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6792175Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6792361Z                 'obj_weakref': None
2022-11-23T01:30:19.6792747Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6792857Z             }
2022-11-23T01:30:19.6792968Z             
2022-11-23T01:30:19.6793089Z  - 
2022-11-23T01:30:19.6793298Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6793413Z             {
2022-11-23T01:30:19.6793641Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6793925Z                 'code': None,
2022-11-23T01:30:19.6794430Z                 'obj_weakref': <weakref at 0x7ff58fd0a2f0; to 'Tensor' at 0x7ff5a81e3060>
2022-11-23T01:30:19.6794857Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6794961Z             }
2022-11-23T01:30:19.6795064Z             
2022-11-23T01:30:19.6795192Z  - 
2022-11-23T01:30:19.6795373Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6795469Z             {
2022-11-23T01:30:19.6795694Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6795962Z                 'code': ['___check_obj_id(model, 140692656876768)'],
2022-11-23T01:30:19.6796321Z                 'obj_weakref': <weakref at 0x7ff5a8540e00; to 'Sequential' at 0x7ff58fd5ece0>
2022-11-23T01:30:19.6796703Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6796880Z             }
2022-11-23T01:30:19.6796957Z             
2022-11-23T01:30:19.6797068Z  - 
2022-11-23T01:30:19.6797272Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6797367Z             {
2022-11-23T01:30:19.6797592Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6797961Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6798157Z                 'obj_weakref': None
2022-11-23T01:30:19.6798496Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6798595Z             }
2022-11-23T01:30:19.6798697Z             
2022-11-23T01:30:19.6798820Z  - 
2022-11-23T01:30:19.6799068Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6799171Z             {
2022-11-23T01:30:19.6799375Z                 'guard_types': None,
2022-11-23T01:30:19.6799542Z                 'code': None,
2022-11-23T01:30:19.6799749Z                 'obj_weakref': None
2022-11-23T01:30:19.6799956Z                 'guarded_class': None
2022-11-23T01:30:19.6800059Z             }
2022-11-23T01:30:19.6800164Z             
2022-11-23T01:30:19.6800273Z  - 
2022-11-23T01:30:19.6800500Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6800600Z             {
2022-11-23T01:30:19.6800809Z                 'guard_types': None,
2022-11-23T01:30:19.6800990Z                 'code': None,
2022-11-23T01:30:19.6801191Z                 'obj_weakref': None
2022-11-23T01:30:19.6801404Z                 'guarded_class': None
2022-11-23T01:30:19.6801512Z             }
2022-11-23T01:30:19.6801617Z             
2022-11-23T01:30:19.6802085Z [2022-11-23 01:23:27,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 129
2022-11-23T01:30:19.6802779Z [2022-11-23 01:23:27,154] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/na/cnacpqhydy7ghwmngxbfwkyn5z5er6ylkvip5epon3d373awlpca.py
2022-11-23T01:30:19.6803233Z [2022-11-23 01:23:27,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 129
2022-11-23T01:30:19.6803649Z [2022-11-23 01:23:27,373] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6804190Z [2022-11-23 01:23:27,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6804560Z [2022-11-23 01:23:27,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6804993Z [2022-11-23 01:23:27,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6805440Z [2022-11-23 01:23:27,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6805958Z [2022-11-23 01:23:27,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6806653Z [2022-11-23 01:23:27,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6807235Z [2022-11-23 01:23:27,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6807686Z [2022-11-23 01:23:27,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6808117Z [2022-11-23 01:23:27,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6808587Z [2022-11-23 01:23:27,389] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6809046Z [2022-11-23 01:23:27,457] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6809391Z [2022-11-23 01:23:27,457] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6809701Z  __compiled_fn_131 <eval_with_key>.1175 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6809863Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6810023Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6810201Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6810212Z 
2022-11-23T01:30:19.6810814Z [2022-11-23 01:23:27,457] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6810972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6811127Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6811280Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6811439Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6811590Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6811733Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6811869Z              12 RETURN_VALUE
2022-11-23T01:30:19.6811878Z 
2022-11-23T01:30:19.6811986Z  
2022-11-23T01:30:19.6812613Z [2022-11-23 01:23:27,457] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6812799Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_131)
2022-11-23T01:30:19.6812956Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6813106Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6813219Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6813373Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6813533Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6813666Z              12 RETURN_VALUE
2022-11-23T01:30:19.6813676Z 
2022-11-23T01:30:19.6813777Z  
2022-11-23T01:30:19.6814114Z [2022-11-23 01:23:27,458] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6814235Z  - 
2022-11-23T01:30:19.6814437Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6814549Z             {
2022-11-23T01:30:19.6814802Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6815145Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6815363Z                 'obj_weakref': None
2022-11-23T01:30:19.6815756Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6815866Z             }
2022-11-23T01:30:19.6815961Z             
2022-11-23T01:30:19.6816086Z  - 
2022-11-23T01:30:19.6816311Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6816565Z             {
2022-11-23T01:30:19.6816830Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6817025Z                 'code': None,
2022-11-23T01:30:19.6817392Z                 'obj_weakref': <weakref at 0x7ff58f986610; to 'Tensor' at 0x7ff5a85036f0>
2022-11-23T01:30:19.6817827Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6817943Z             }
2022-11-23T01:30:19.6818052Z             
2022-11-23T01:30:19.6818171Z  - 
2022-11-23T01:30:19.6818485Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6818599Z             {
2022-11-23T01:30:19.6818837Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6819119Z                 'code': ['___check_obj_id(model, 140692657572448)'],
2022-11-23T01:30:19.6819511Z                 'obj_weakref': <weakref at 0x7ff5a80f42c0; to 'Sequential' at 0x7ff58fe08a60>
2022-11-23T01:30:19.6819936Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6820052Z             }
2022-11-23T01:30:19.6820167Z             
2022-11-23T01:30:19.6820286Z  - 
2022-11-23T01:30:19.6820501Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6820598Z             {
2022-11-23T01:30:19.6820835Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6821279Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6821487Z                 'obj_weakref': None
2022-11-23T01:30:19.6821877Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6821987Z             }
2022-11-23T01:30:19.6822098Z             
2022-11-23T01:30:19.6822201Z  - 
2022-11-23T01:30:19.6822445Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6822537Z             {
2022-11-23T01:30:19.6822750Z                 'guard_types': None,
2022-11-23T01:30:19.6822943Z                 'code': None,
2022-11-23T01:30:19.6823162Z                 'obj_weakref': None
2022-11-23T01:30:19.6823372Z                 'guarded_class': None
2022-11-23T01:30:19.6823454Z             }
2022-11-23T01:30:19.6823561Z             
2022-11-23T01:30:19.6823675Z  - 
2022-11-23T01:30:19.6823937Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6824047Z             {
2022-11-23T01:30:19.6824248Z                 'guard_types': None,
2022-11-23T01:30:19.6824427Z                 'code': None,
2022-11-23T01:30:19.6824627Z                 'obj_weakref': None
2022-11-23T01:30:19.6824842Z                 'guarded_class': None
2022-11-23T01:30:19.6824951Z             }
2022-11-23T01:30:19.6825060Z             
2022-11-23T01:30:19.6825535Z [2022-11-23 01:23:27,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 130
2022-11-23T01:30:19.6825545Z 
2022-11-23T01:30:19.6825710Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6825821Z import torch
2022-11-23T01:30:19.6825933Z import random
2022-11-23T01:30:19.6826132Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6826339Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6826353Z 
2022-11-23T01:30:19.6826492Z aten = torch.ops.aten
2022-11-23T01:30:19.6826726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6826885Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6826894Z 
2022-11-23T01:30:19.6826902Z 
2022-11-23T01:30:19.6827058Z async_compile.wait(globals())
2022-11-23T01:30:19.6827181Z del async_compile
2022-11-23T01:30:19.6827190Z 
2022-11-23T01:30:19.6827299Z def call(args):
2022-11-23T01:30:19.6827508Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6827632Z     args.clear()
2022-11-23T01:30:19.6827875Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6828078Z     assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T01:30:19.6828198Z     del arg0_1
2022-11-23T01:30:19.6828313Z     del arg1_1
2022-11-23T01:30:19.6828416Z     del arg7_1
2022-11-23T01:30:19.6828544Z     return (buf0, )
2022-11-23T01:30:19.6828554Z 
2022-11-23T01:30:19.6828561Z 
2022-11-23T01:30:19.6828673Z if __name__ == "__main__":
2022-11-23T01:30:19.6828884Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6829111Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6829620Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6829983Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6830339Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6830667Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6831014Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6831358Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6831688Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6832103Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6832421Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6832431Z 
2022-11-23T01:30:19.6832444Z 
2022-11-23T01:30:19.6832612Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6832743Z import torch
2022-11-23T01:30:19.6832874Z import random
2022-11-23T01:30:19.6833062Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6833282Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6833290Z 
2022-11-23T01:30:19.6833429Z aten = torch.ops.aten
2022-11-23T01:30:19.6833669Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6833924Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6833933Z 
2022-11-23T01:30:19.6833941Z 
2022-11-23T01:30:19.6834182Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6834544Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6834755Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6834914Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6835026Z {
2022-11-23T01:30:19.6835187Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6835308Z     {
2022-11-23T01:30:19.6835446Z         #pragma omp for 
2022-11-23T01:30:19.6835592Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.6835705Z         {
2022-11-23T01:30:19.6835830Z             #pragma GCC ivdep
2022-11-23T01:30:19.6835984Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6836099Z             {
2022-11-23T01:30:19.6836215Z                 {
2022-11-23T01:30:19.6836333Z                     {
2022-11-23T01:30:19.6836504Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:30:19.6836654Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6836771Z                     }
2022-11-23T01:30:19.6836885Z                 }
2022-11-23T01:30:19.6837009Z             }
2022-11-23T01:30:19.6837117Z         }
2022-11-23T01:30:19.6837223Z     }
2022-11-23T01:30:19.6837329Z }
2022-11-23T01:30:19.6837459Z ''')
2022-11-23T01:30:19.6837468Z 
2022-11-23T01:30:19.6837478Z 
2022-11-23T01:30:19.6837643Z async_compile.wait(globals())
2022-11-23T01:30:19.6837770Z del async_compile
2022-11-23T01:30:19.6837778Z 
2022-11-23T01:30:19.6837897Z def call(args):
2022-11-23T01:30:19.6838105Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6838233Z     args.clear()
2022-11-23T01:30:19.6838666Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6838897Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6839000Z     del arg7_1
2022-11-23T01:30:19.6839239Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6839436Z     assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T01:30:19.6839565Z     del arg0_1
2022-11-23T01:30:19.6839681Z     del arg1_1
2022-11-23T01:30:19.6839808Z     return (buf1, )
2022-11-23T01:30:19.6839890Z 
2022-11-23T01:30:19.6839899Z 
2022-11-23T01:30:19.6840031Z if __name__ == "__main__":
2022-11-23T01:30:19.6840223Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6840446Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6840848Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6841209Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6841540Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6841888Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6842227Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6842623Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6842935Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6843357Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6843634Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6843645Z 
2022-11-23T01:30:19.6843653Z 
2022-11-23T01:30:19.6843820Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6843945Z import torch
2022-11-23T01:30:19.6844071Z import random
2022-11-23T01:30:19.6844281Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6844491Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6844501Z 
2022-11-23T01:30:19.6844638Z aten = torch.ops.aten
2022-11-23T01:30:19.6844841Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6845006Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6845013Z 
2022-11-23T01:30:19.6845021Z 
2022-11-23T01:30:19.6845180Z async_compile.wait(globals())
2022-11-23T01:30:19.6845311Z del async_compile
2022-11-23T01:30:19.6845319Z 
2022-11-23T01:30:19.6845441Z def call(args):
2022-11-23T01:30:19.6845650Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6845776Z     args.clear()
2022-11-23T01:30:19.6846025Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6846215Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6846343Z     del arg0_1
2022-11-23T01:30:19.6846471Z     del arg1_1
2022-11-23T01:30:19.6846592Z     del arg7_1
2022-11-23T01:30:19.6846712Z     return (buf0, )
2022-11-23T01:30:19.6846719Z 
2022-11-23T01:30:19.6846727Z 
2022-11-23T01:30:19.6846857Z if __name__ == "__main__":
2022-11-23T01:30:19.6847063Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6847268Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6847685Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6848021Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6848372Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6848720Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6849057Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6849403Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6849710Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6850107Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6850382Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6850392Z 
2022-11-23T01:30:19.6850398Z 
2022-11-23T01:30:19.6850635Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6850760Z import torch
2022-11-23T01:30:19.6850886Z import random
2022-11-23T01:30:19.6851092Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6851315Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6851324Z 
2022-11-23T01:30:19.6851458Z aten = torch.ops.aten
2022-11-23T01:30:19.6851681Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6851841Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6851850Z 
2022-11-23T01:30:19.6851859Z 
2022-11-23T01:30:19.6852113Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6852478Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6852686Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6852911Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6853025Z {
2022-11-23T01:30:19.6853194Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6853289Z     {
2022-11-23T01:30:19.6853447Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.6853590Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.6853702Z         {
2022-11-23T01:30:19.6853856Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6853969Z             {
2022-11-23T01:30:19.6854083Z                 {
2022-11-23T01:30:19.6854183Z                     {
2022-11-23T01:30:19.6854358Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:30:19.6854525Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6854638Z                     }
2022-11-23T01:30:19.6854753Z                 }
2022-11-23T01:30:19.6854867Z             }
2022-11-23T01:30:19.6854961Z         }
2022-11-23T01:30:19.6855076Z     }
2022-11-23T01:30:19.6855177Z }
2022-11-23T01:30:19.6855328Z ''')
2022-11-23T01:30:19.6855337Z 
2022-11-23T01:30:19.6855345Z 
2022-11-23T01:30:19.6855508Z async_compile.wait(globals())
2022-11-23T01:30:19.6855650Z del async_compile
2022-11-23T01:30:19.6855659Z 
2022-11-23T01:30:19.6855778Z def call(args):
2022-11-23T01:30:19.6855986Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6856095Z     args.clear()
2022-11-23T01:30:19.6856639Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6856870Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6856992Z     del arg7_1
2022-11-23T01:30:19.6857240Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6857442Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6857556Z     del arg0_1
2022-11-23T01:30:19.6857648Z     del arg1_1
2022-11-23T01:30:19.6857767Z     return (buf1, )
2022-11-23T01:30:19.6857776Z 
2022-11-23T01:30:19.6857783Z 
2022-11-23T01:30:19.6857914Z if __name__ == "__main__":
2022-11-23T01:30:19.6858116Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6858333Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6858727Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6859074Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6859429Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6859758Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6860097Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6860421Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6860750Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6861272Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6861554Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6861564Z 
2022-11-23T01:30:19.6862235Z [2022-11-23 01:23:27,473] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cryxfqnfrvvljbyhb57zmd6c2mrrbdcvtbgtjp553v6jzx5sciq3.py
2022-11-23T01:30:19.6862727Z [2022-11-23 01:23:27,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 130
2022-11-23T01:30:19.6863153Z [2022-11-23 01:23:28,045] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6863730Z [2022-11-23 01:23:28,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6864189Z [2022-11-23 01:23:28,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6864611Z [2022-11-23 01:23:28,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6865099Z [2022-11-23 01:23:28,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6865683Z [2022-11-23 01:23:28,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6866310Z [2022-11-23 01:23:28,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6866904Z [2022-11-23 01:23:28,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6867357Z [2022-11-23 01:23:28,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6867794Z [2022-11-23 01:23:28,061] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6868249Z [2022-11-23 01:23:28,062] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6868668Z [2022-11-23 01:23:28,132] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6868986Z [2022-11-23 01:23:28,132] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6869214Z  __compiled_fn_132 <eval_with_key>.1186 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6869371Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6869542Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6869714Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6869725Z 
2022-11-23T01:30:19.6870346Z [2022-11-23 01:23:28,132] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6870519Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6870667Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6870805Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6870961Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6871113Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6871272Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6871401Z              12 RETURN_VALUE
2022-11-23T01:30:19.6871410Z 
2022-11-23T01:30:19.6871511Z  
2022-11-23T01:30:19.6872136Z [2022-11-23 01:23:28,132] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6872309Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_132)
2022-11-23T01:30:19.6872462Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6872614Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6872751Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6872975Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6873137Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6873262Z              12 RETURN_VALUE
2022-11-23T01:30:19.6873271Z 
2022-11-23T01:30:19.6873377Z  
2022-11-23T01:30:19.6873701Z [2022-11-23 01:23:28,133] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6873998Z  - 
2022-11-23T01:30:19.6874216Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6874322Z             {
2022-11-23T01:30:19.6874570Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6874897Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6875092Z                 'obj_weakref': None
2022-11-23T01:30:19.6875498Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6875702Z             }
2022-11-23T01:30:19.6875824Z             
2022-11-23T01:30:19.6875956Z  - 
2022-11-23T01:30:19.6876180Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6876298Z             {
2022-11-23T01:30:19.6876544Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6876741Z                 'code': None,
2022-11-23T01:30:19.6877124Z                 'obj_weakref': <weakref at 0x7ff58fda6d40; to 'Tensor' at 0x7ff5a80f74c0>
2022-11-23T01:30:19.6877585Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6877699Z             }
2022-11-23T01:30:19.6877814Z             
2022-11-23T01:30:19.6877940Z  - 
2022-11-23T01:30:19.6878145Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6878253Z             {
2022-11-23T01:30:19.6878489Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6878799Z                 'code': ['___check_obj_id(model, 140692657572448)'],
2022-11-23T01:30:19.6879201Z                 'obj_weakref': <weakref at 0x7ff5a80f42c0; to 'Sequential' at 0x7ff58fe08a60>
2022-11-23T01:30:19.6879616Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6879723Z             }
2022-11-23T01:30:19.6879832Z             
2022-11-23T01:30:19.6879938Z  - 
2022-11-23T01:30:19.6880161Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6880270Z             {
2022-11-23T01:30:19.6880517Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6880912Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6881123Z                 'obj_weakref': None
2022-11-23T01:30:19.6881510Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6881605Z             }
2022-11-23T01:30:19.6881712Z             
2022-11-23T01:30:19.6881833Z  - 
2022-11-23T01:30:19.6882105Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6882218Z             {
2022-11-23T01:30:19.6882431Z                 'guard_types': None,
2022-11-23T01:30:19.6882608Z                 'code': None,
2022-11-23T01:30:19.6882801Z                 'obj_weakref': None
2022-11-23T01:30:19.6883021Z                 'guarded_class': None
2022-11-23T01:30:19.6883132Z             }
2022-11-23T01:30:19.6883240Z             
2022-11-23T01:30:19.6883360Z  - 
2022-11-23T01:30:19.6883621Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6883715Z             {
2022-11-23T01:30:19.6883929Z                 'guard_types': None,
2022-11-23T01:30:19.6884125Z                 'code': None,
2022-11-23T01:30:19.6884331Z                 'obj_weakref': None
2022-11-23T01:30:19.6884558Z                 'guarded_class': None
2022-11-23T01:30:19.6884672Z             }
2022-11-23T01:30:19.6884781Z             
2022-11-23T01:30:19.6885241Z [2022-11-23 01:23:28,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 131
2022-11-23T01:30:19.6886024Z [2022-11-23 01:23:28,154] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2rfaa6g2pe6xz2wid37wv72lbuka7yvue7tqaqa4sist5rqm7j.py
2022-11-23T01:30:19.6886518Z [2022-11-23 01:23:28,154] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 131
2022-11-23T01:30:19.6886949Z [2022-11-23 01:23:28,645] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6887486Z [2022-11-23 01:23:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6887875Z [2022-11-23 01:23:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6888327Z [2022-11-23 01:23:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6888834Z [2022-11-23 01:23:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6889479Z [2022-11-23 01:23:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6890109Z [2022-11-23 01:23:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6890594Z [2022-11-23 01:23:28,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6890982Z [2022-11-23 01:23:28,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6891344Z [2022-11-23 01:23:28,670] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6891737Z [2022-11-23 01:23:28,672] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6892145Z [2022-11-23 01:23:28,703] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6892472Z [2022-11-23 01:23:28,703] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6892701Z  __compiled_fn_133 <eval_with_key>.1197 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6892851Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6893007Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6893176Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6893187Z 
2022-11-23T01:30:19.6893771Z [2022-11-23 01:23:28,704] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6893922Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6894073Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6894215Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6894370Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6894508Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6894650Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6894784Z              12 RETURN_VALUE
2022-11-23T01:30:19.6894794Z 
2022-11-23T01:30:19.6894904Z  
2022-11-23T01:30:19.6895522Z [2022-11-23 01:23:28,704] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6895711Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_133)
2022-11-23T01:30:19.6895866Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6896027Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6896156Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6896290Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6896577Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6896706Z              12 RETURN_VALUE
2022-11-23T01:30:19.6896719Z 
2022-11-23T01:30:19.6896818Z  
2022-11-23T01:30:19.6897134Z [2022-11-23 01:23:28,705] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6897366Z  - 
2022-11-23T01:30:19.6897581Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6897676Z             {
2022-11-23T01:30:19.6897928Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6898252Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6898462Z                 'obj_weakref': None
2022-11-23T01:30:19.6898848Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6898957Z             }
2022-11-23T01:30:19.6899065Z             
2022-11-23T01:30:19.6899170Z  - 
2022-11-23T01:30:19.6899389Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6899496Z             {
2022-11-23T01:30:19.6899740Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6900012Z                 'code': None,
2022-11-23T01:30:19.6900384Z                 'obj_weakref': <weakref at 0x7ff58fda7100; to 'Tensor' at 0x7ff5a816eed0>
2022-11-23T01:30:19.6900840Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6900936Z             }
2022-11-23T01:30:19.6901043Z             
2022-11-23T01:30:19.6901162Z  - 
2022-11-23T01:30:19.6901373Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6901483Z             {
2022-11-23T01:30:19.6901716Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6902014Z                 'code': ['___check_obj_id(model, 140693067416096)'],
2022-11-23T01:30:19.6902390Z                 'obj_weakref': <weakref at 0x7ff58fda6cf0; to 'Sequential' at 0x7ff5a84e4220>
2022-11-23T01:30:19.6902798Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6902907Z             }
2022-11-23T01:30:19.6903020Z             
2022-11-23T01:30:19.6903135Z  - 
2022-11-23T01:30:19.6903353Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6903452Z             {
2022-11-23T01:30:19.6903687Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6904077Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6904286Z                 'obj_weakref': None
2022-11-23T01:30:19.6904679Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6904791Z             }
2022-11-23T01:30:19.6904892Z             
2022-11-23T01:30:19.6904993Z  - 
2022-11-23T01:30:19.6905221Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6905325Z             {
2022-11-23T01:30:19.6905531Z                 'guard_types': None,
2022-11-23T01:30:19.6905711Z                 'code': None,
2022-11-23T01:30:19.6905906Z                 'obj_weakref': None
2022-11-23T01:30:19.6906115Z                 'guarded_class': None
2022-11-23T01:30:19.6906226Z             }
2022-11-23T01:30:19.6906316Z             
2022-11-23T01:30:19.6906433Z  - 
2022-11-23T01:30:19.6906685Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6906793Z             {
2022-11-23T01:30:19.6906999Z                 'guard_types': None,
2022-11-23T01:30:19.6907178Z                 'code': None,
2022-11-23T01:30:19.6907381Z                 'obj_weakref': None
2022-11-23T01:30:19.6907581Z                 'guarded_class': None
2022-11-23T01:30:19.6907683Z             }
2022-11-23T01:30:19.6907792Z             
2022-11-23T01:30:19.6908261Z [2022-11-23 01:23:28,721] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 132
2022-11-23T01:30:19.6908892Z [2022-11-23 01:23:28,729] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bzkbo6uvsrmfq7sjekl5f3rm4hxpjwquogqr6h3sm2w7deh66.py
2022-11-23T01:30:19.6909368Z [2022-11-23 01:23:28,729] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 132
2022-11-23T01:30:19.6909796Z [2022-11-23 01:23:28,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6910460Z [2022-11-23 01:23:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6910844Z [2022-11-23 01:23:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6911281Z [2022-11-23 01:23:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6911770Z [2022-11-23 01:23:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6912338Z [2022-11-23 01:23:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6912952Z [2022-11-23 01:23:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6913596Z [2022-11-23 01:23:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6914133Z [2022-11-23 01:23:28,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6914554Z [2022-11-23 01:23:28,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6915013Z [2022-11-23 01:23:28,889] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6915429Z [2022-11-23 01:23:28,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6915699Z [2022-11-23 01:23:28,909] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6915901Z  __compiled_fn_134 <eval_with_key>.1208 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6916047Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6916200Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6916350Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6916359Z 
2022-11-23T01:30:19.6916927Z [2022-11-23 01:23:28,909] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6917068Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6917210Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6917323Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6917463Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6917603Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6917744Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6917863Z              12 RETURN_VALUE
2022-11-23T01:30:19.6917871Z 
2022-11-23T01:30:19.6917974Z  
2022-11-23T01:30:19.6918564Z [2022-11-23 01:23:28,909] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6918735Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_134)
2022-11-23T01:30:19.6918882Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6919030Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6919156Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6919306Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6919459Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6919582Z              12 RETURN_VALUE
2022-11-23T01:30:19.6919591Z 
2022-11-23T01:30:19.6919687Z  
2022-11-23T01:30:19.6919995Z [2022-11-23 01:23:28,910] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6920110Z  - 
2022-11-23T01:30:19.6920316Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6920424Z             {
2022-11-23T01:30:19.6920671Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6920996Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6921292Z                 'obj_weakref': None
2022-11-23T01:30:19.6921643Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6921744Z             }
2022-11-23T01:30:19.6921845Z             
2022-11-23T01:30:19.6921966Z  - 
2022-11-23T01:30:19.6922176Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6922277Z             {
2022-11-23T01:30:19.6922514Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6922678Z                 'code': None,
2022-11-23T01:30:19.6923038Z                 'obj_weakref': <weakref at 0x7ff58fda7e20; to 'Tensor' at 0x7ff58fd51710>
2022-11-23T01:30:19.6923468Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6923574Z             }
2022-11-23T01:30:19.6923789Z             
2022-11-23T01:30:19.6923909Z  - 
2022-11-23T01:30:19.6924171Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6924298Z             {
2022-11-23T01:30:19.6924598Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6924960Z                 'code': ['___check_obj_id(model, 140693067416096)'],
2022-11-23T01:30:19.6925391Z                 'obj_weakref': <weakref at 0x7ff58fda6cf0; to 'Sequential' at 0x7ff5a84e4220>
2022-11-23T01:30:19.6925732Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6925825Z             }
2022-11-23T01:30:19.6925915Z             
2022-11-23T01:30:19.6926009Z  - 
2022-11-23T01:30:19.6926195Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6926289Z             {
2022-11-23T01:30:19.6926486Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6926824Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6927022Z                 'obj_weakref': None
2022-11-23T01:30:19.6927368Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6927456Z             }
2022-11-23T01:30:19.6927549Z             
2022-11-23T01:30:19.6927649Z  - 
2022-11-23T01:30:19.6927878Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6927973Z             {
2022-11-23T01:30:19.6928155Z                 'guard_types': None,
2022-11-23T01:30:19.6928321Z                 'code': None,
2022-11-23T01:30:19.6928488Z                 'obj_weakref': None
2022-11-23T01:30:19.6928681Z                 'guarded_class': None
2022-11-23T01:30:19.6928783Z             }
2022-11-23T01:30:19.6928888Z             
2022-11-23T01:30:19.6929001Z  - 
2022-11-23T01:30:19.6929248Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6929333Z             {
2022-11-23T01:30:19.6929512Z                 'guard_types': None,
2022-11-23T01:30:19.6929685Z                 'code': None,
2022-11-23T01:30:19.6929876Z                 'obj_weakref': None
2022-11-23T01:30:19.6930069Z                 'guarded_class': None
2022-11-23T01:30:19.6930167Z             }
2022-11-23T01:30:19.6930260Z             
2022-11-23T01:30:19.6930693Z [2022-11-23 01:23:28,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 133
2022-11-23T01:30:19.6931304Z [2022-11-23 01:23:28,930] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pn/cpnf53kwmvder33b67ixassl3lejnar3tszy45o23d3mkp3dzjkt.py
2022-11-23T01:30:19.6931761Z [2022-11-23 01:23:28,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 133
2022-11-23T01:30:19.6932180Z [2022-11-23 01:23:29,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.6932763Z [2022-11-23 01:23:29,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.6933147Z [2022-11-23 01:23:29,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.6933673Z [2022-11-23 01:23:29,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.6934144Z [2022-11-23 01:23:29,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.6934655Z [2022-11-23 01:23:29,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6935246Z [2022-11-23 01:23:29,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6935805Z [2022-11-23 01:23:29,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.6936250Z [2022-11-23 01:23:29,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.6936907Z [2022-11-23 01:23:29,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.6937381Z [2022-11-23 01:23:29,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.6937844Z [2022-11-23 01:23:29,243] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.6938196Z [2022-11-23 01:23:29,244] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.6938437Z  __compiled_fn_135 <eval_with_key>.1219 opcode, name, target, args, kwargs
2022-11-23T01:30:19.6938600Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.6938775Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.6938932Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.6938943Z 
2022-11-23T01:30:19.6939562Z [2022-11-23 01:23:29,244] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6939727Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.6939888Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6940040Z               4 BUILD_MAP                0
2022-11-23T01:30:19.6940200Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.6940350Z               8 DICT_MERGE               1
2022-11-23T01:30:19.6940490Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.6940625Z              12 RETURN_VALUE
2022-11-23T01:30:19.6940634Z 
2022-11-23T01:30:19.6940744Z  
2022-11-23T01:30:19.6941360Z [2022-11-23 01:23:29,244] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.6941549Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_135)
2022-11-23T01:30:19.6941699Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.6941850Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.6941979Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.6942120Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.6942282Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.6942416Z              12 RETURN_VALUE
2022-11-23T01:30:19.6942423Z 
2022-11-23T01:30:19.6942529Z  
2022-11-23T01:30:19.6942851Z [2022-11-23 01:23:29,245] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.6942961Z  - 
2022-11-23T01:30:19.6943164Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.6943261Z             {
2022-11-23T01:30:19.6943503Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.6943826Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.6944038Z                 'obj_weakref': None
2022-11-23T01:30:19.6944422Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.6944522Z             }
2022-11-23T01:30:19.6944630Z             
2022-11-23T01:30:19.6944725Z  - 
2022-11-23T01:30:19.6944933Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.6945140Z             {
2022-11-23T01:30:19.6945394Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.6945578Z                 'code': None,
2022-11-23T01:30:19.6945958Z                 'obj_weakref': <weakref at 0x7ff58fd508b0; to 'Tensor' at 0x7ff5a8079260>
2022-11-23T01:30:19.6946403Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.6946510Z             }
2022-11-23T01:30:19.6946607Z             
2022-11-23T01:30:19.6946729Z  - 
2022-11-23T01:30:19.6946941Z             local 'model' NN_MODULE
2022-11-23T01:30:19.6947049Z             {
2022-11-23T01:30:19.6947285Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.6947589Z                 'code': ['___check_obj_id(model, 140693063081008)'],
2022-11-23T01:30:19.6948047Z                 'obj_weakref': <weakref at 0x7ff58fda70b0; to 'Sequential' at 0x7ff5a80c1c30>
2022-11-23T01:30:19.6948470Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.6948580Z             }
2022-11-23T01:30:19.6948687Z             
2022-11-23T01:30:19.6948805Z  - 
2022-11-23T01:30:19.6949016Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.6949124Z             {
2022-11-23T01:30:19.6949346Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.6949727Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.6949923Z                 'obj_weakref': None
2022-11-23T01:30:19.6950283Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.6950389Z             }
2022-11-23T01:30:19.6950494Z             
2022-11-23T01:30:19.6950601Z  - 
2022-11-23T01:30:19.6950833Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.6950937Z             {
2022-11-23T01:30:19.6951134Z                 'guard_types': None,
2022-11-23T01:30:19.6951319Z                 'code': None,
2022-11-23T01:30:19.6951513Z                 'obj_weakref': None
2022-11-23T01:30:19.6951720Z                 'guarded_class': None
2022-11-23T01:30:19.6951820Z             }
2022-11-23T01:30:19.6951908Z             
2022-11-23T01:30:19.6952015Z  - 
2022-11-23T01:30:19.6952262Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.6952358Z             {
2022-11-23T01:30:19.6952566Z                 'guard_types': None,
2022-11-23T01:30:19.6952742Z                 'code': None,
2022-11-23T01:30:19.6952947Z                 'obj_weakref': None
2022-11-23T01:30:19.6953144Z                 'guarded_class': None
2022-11-23T01:30:19.6953246Z             }
2022-11-23T01:30:19.6953351Z             
2022-11-23T01:30:19.6953938Z [2022-11-23 01:23:29,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 134
2022-11-23T01:30:19.6953957Z 
2022-11-23T01:30:19.6954113Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6954227Z import torch
2022-11-23T01:30:19.6954346Z import random
2022-11-23T01:30:19.6954527Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6954734Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6954743Z 
2022-11-23T01:30:19.6954875Z aten = torch.ops.aten
2022-11-23T01:30:19.6955104Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6955252Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6955260Z 
2022-11-23T01:30:19.6955268Z 
2022-11-23T01:30:19.6955413Z async_compile.wait(globals())
2022-11-23T01:30:19.6955535Z del async_compile
2022-11-23T01:30:19.6955543Z 
2022-11-23T01:30:19.6955649Z def call(args):
2022-11-23T01:30:19.6955828Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6955949Z     args.clear()
2022-11-23T01:30:19.6956190Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6956476Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6956590Z     del arg0_1
2022-11-23T01:30:19.6956702Z     del arg1_1
2022-11-23T01:30:19.6956805Z     del arg7_1
2022-11-23T01:30:19.6956912Z     return (buf0, )
2022-11-23T01:30:19.6956937Z 
2022-11-23T01:30:19.6956945Z 
2022-11-23T01:30:19.6957055Z if __name__ == "__main__":
2022-11-23T01:30:19.6957250Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6957466Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6957875Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6958216Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6958551Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6958941Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6959250Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6959604Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6959926Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6960350Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6960618Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6960627Z 
2022-11-23T01:30:19.6960634Z 
2022-11-23T01:30:19.6960785Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6960893Z import torch
2022-11-23T01:30:19.6961001Z import random
2022-11-23T01:30:19.6961194Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6961390Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6961399Z 
2022-11-23T01:30:19.6961528Z aten = torch.ops.aten
2022-11-23T01:30:19.6961766Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6961923Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6961932Z 
2022-11-23T01:30:19.6961938Z 
2022-11-23T01:30:19.6962181Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6962539Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6962746Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6962911Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6963000Z {
2022-11-23T01:30:19.6963175Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6963277Z     {
2022-11-23T01:30:19.6963411Z         #pragma omp for 
2022-11-23T01:30:19.6963555Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.6963665Z         {
2022-11-23T01:30:19.6963784Z             #pragma GCC ivdep
2022-11-23T01:30:19.6963925Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6964025Z             {
2022-11-23T01:30:19.6964129Z                 {
2022-11-23T01:30:19.6964235Z                     {
2022-11-23T01:30:19.6964404Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:30:19.6964563Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6964655Z                     }
2022-11-23T01:30:19.6964760Z                 }
2022-11-23T01:30:19.6964855Z             }
2022-11-23T01:30:19.6964939Z         }
2022-11-23T01:30:19.6965037Z     }
2022-11-23T01:30:19.6965128Z }
2022-11-23T01:30:19.6965281Z ''')
2022-11-23T01:30:19.6965291Z 
2022-11-23T01:30:19.6965297Z 
2022-11-23T01:30:19.6965434Z async_compile.wait(globals())
2022-11-23T01:30:19.6965550Z del async_compile
2022-11-23T01:30:19.6965557Z 
2022-11-23T01:30:19.6965662Z def call(args):
2022-11-23T01:30:19.6965850Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6965975Z     args.clear()
2022-11-23T01:30:19.6966490Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6966715Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6966817Z     del arg7_1
2022-11-23T01:30:19.6967026Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:30:19.6967211Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6967321Z     del arg0_1
2022-11-23T01:30:19.6967429Z     del arg1_1
2022-11-23T01:30:19.6967542Z     return (buf1, )
2022-11-23T01:30:19.6967551Z 
2022-11-23T01:30:19.6967558Z 
2022-11-23T01:30:19.6967682Z if __name__ == "__main__":
2022-11-23T01:30:19.6967849Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6968034Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6968489Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6968829Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6969162Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6969494Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6969818Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6970137Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6970432Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6970817Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6971089Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6971105Z 
2022-11-23T01:30:19.6971111Z 
2022-11-23T01:30:19.6971272Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6971387Z import torch
2022-11-23T01:30:19.6971504Z import random
2022-11-23T01:30:19.6971698Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6971904Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6971913Z 
2022-11-23T01:30:19.6972039Z aten = torch.ops.aten
2022-11-23T01:30:19.6972267Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6972401Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6972410Z 
2022-11-23T01:30:19.6972417Z 
2022-11-23T01:30:19.6972568Z async_compile.wait(globals())
2022-11-23T01:30:19.6972684Z del async_compile
2022-11-23T01:30:19.6972692Z 
2022-11-23T01:30:19.6972812Z def call(args):
2022-11-23T01:30:19.6973007Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6973122Z     args.clear()
2022-11-23T01:30:19.6973363Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6973557Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6973658Z     del arg0_1
2022-11-23T01:30:19.6973768Z     del arg1_1
2022-11-23T01:30:19.6983486Z     del arg7_1
2022-11-23T01:30:19.6983652Z     return (buf0, )
2022-11-23T01:30:19.6983663Z 
2022-11-23T01:30:19.6983671Z 
2022-11-23T01:30:19.6983794Z if __name__ == "__main__":
2022-11-23T01:30:19.6983970Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6984182Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6984581Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6984936Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6985275Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6985622Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6986089Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6986430Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6986750Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6987172Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6987431Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6987454Z 
2022-11-23T01:30:19.6987462Z 
2022-11-23T01:30:19.6987605Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.6987728Z import torch
2022-11-23T01:30:19.6987854Z import random
2022-11-23T01:30:19.6988054Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.6988262Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.6988336Z 
2022-11-23T01:30:19.6988462Z aten = torch.ops.aten
2022-11-23T01:30:19.6988697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.6988845Z async_compile = AsyncCompile()
2022-11-23T01:30:19.6988854Z 
2022-11-23T01:30:19.6988878Z 
2022-11-23T01:30:19.6989110Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.6989469Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.6989662Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.6989827Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.6989922Z {
2022-11-23T01:30:19.6990098Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.6990196Z     {
2022-11-23T01:30:19.6990333Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.6990471Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.6990578Z         {
2022-11-23T01:30:19.6990728Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.6990836Z             {
2022-11-23T01:30:19.6990946Z                 {
2022-11-23T01:30:19.6991043Z                     {
2022-11-23T01:30:19.6991219Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:30:19.6991395Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.6991510Z                     }
2022-11-23T01:30:19.6991613Z                 }
2022-11-23T01:30:19.6991720Z             }
2022-11-23T01:30:19.6991827Z         }
2022-11-23T01:30:19.6991915Z     }
2022-11-23T01:30:19.6992021Z }
2022-11-23T01:30:19.6992169Z ''')
2022-11-23T01:30:19.6992178Z 
2022-11-23T01:30:19.6992185Z 
2022-11-23T01:30:19.6992349Z async_compile.wait(globals())
2022-11-23T01:30:19.6992479Z del async_compile
2022-11-23T01:30:19.6992488Z 
2022-11-23T01:30:19.6992608Z def call(args):
2022-11-23T01:30:19.6992800Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.6992917Z     args.clear()
2022-11-23T01:30:19.6993331Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6993560Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.6993669Z     del arg7_1
2022-11-23T01:30:19.6994002Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:30:19.6994198Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.6994317Z     del arg0_1
2022-11-23T01:30:19.6994433Z     del arg1_1
2022-11-23T01:30:19.6994539Z     return (buf1, )
2022-11-23T01:30:19.6994548Z 
2022-11-23T01:30:19.6994573Z 
2022-11-23T01:30:19.6994687Z if __name__ == "__main__":
2022-11-23T01:30:19.6994882Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.6995092Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.6995486Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6995832Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6996255Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6996592Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6996901Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6997234Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6997548Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.6997962Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.6998227Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.6998239Z 
2022-11-23T01:30:19.6998940Z [2022-11-23 01:23:29,259] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmosqlnk7cqasnwwejgosx6scyzawgxxb2pev5kvplvmeihyx457.py
2022-11-23T01:30:19.6999493Z [2022-11-23 01:23:29,260] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 134
2022-11-23T01:30:19.6999915Z [2022-11-23 01:23:29,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7000459Z [2022-11-23 01:23:29,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7000824Z [2022-11-23 01:23:29,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7001244Z [2022-11-23 01:23:29,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7001712Z [2022-11-23 01:23:29,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7002273Z [2022-11-23 01:23:29,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7002859Z [2022-11-23 01:23:29,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7003402Z [2022-11-23 01:23:29,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7003825Z [2022-11-23 01:23:29,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7004227Z [2022-11-23 01:23:29,890] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7004674Z [2022-11-23 01:23:29,891] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7005118Z [2022-11-23 01:23:29,967] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7005426Z [2022-11-23 01:23:29,967] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7005642Z  __compiled_fn_136 <eval_with_key>.1230 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7005788Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7005948Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7006115Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7006126Z 
2022-11-23T01:30:19.7006704Z [2022-11-23 01:23:29,967] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7006855Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7007007Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7007135Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7007288Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7007429Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7007579Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7007697Z              12 RETURN_VALUE
2022-11-23T01:30:19.7007707Z 
2022-11-23T01:30:19.7007903Z  
2022-11-23T01:30:19.7008506Z [2022-11-23 01:23:29,968] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7008689Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_136)
2022-11-23T01:30:19.7008824Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7008973Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7009104Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7009254Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7009410Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7009540Z              12 RETURN_VALUE
2022-11-23T01:30:19.7009549Z 
2022-11-23T01:30:19.7009649Z  
2022-11-23T01:30:19.7009942Z [2022-11-23 01:23:29,968] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7010123Z  - 
2022-11-23T01:30:19.7010329Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7010435Z             {
2022-11-23T01:30:19.7010683Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7011002Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7011209Z                 'obj_weakref': None
2022-11-23T01:30:19.7011579Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7011685Z             }
2022-11-23T01:30:19.7011788Z             
2022-11-23T01:30:19.7011904Z  - 
2022-11-23T01:30:19.7012117Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7012222Z             {
2022-11-23T01:30:19.7012462Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7012628Z                 'code': None,
2022-11-23T01:30:19.7012992Z                 'obj_weakref': <weakref at 0x7ff58fd2b9c0; to 'Tensor' at 0x7ff59c2077e0>
2022-11-23T01:30:19.7013442Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7013555Z             }
2022-11-23T01:30:19.7013665Z             
2022-11-23T01:30:19.7013780Z  - 
2022-11-23T01:30:19.7013991Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7014078Z             {
2022-11-23T01:30:19.7014316Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7014603Z                 'code': ['___check_obj_id(model, 140693063081008)'],
2022-11-23T01:30:19.7014974Z                 'obj_weakref': <weakref at 0x7ff58fda70b0; to 'Sequential' at 0x7ff5a80c1c30>
2022-11-23T01:30:19.7015365Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7015470Z             }
2022-11-23T01:30:19.7015571Z             
2022-11-23T01:30:19.7015672Z  - 
2022-11-23T01:30:19.7015881Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7015989Z             {
2022-11-23T01:30:19.7016226Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7016764Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7016973Z                 'obj_weakref': None
2022-11-23T01:30:19.7017361Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7017472Z             }
2022-11-23T01:30:19.7017561Z             
2022-11-23T01:30:19.7017679Z  - 
2022-11-23T01:30:19.7017940Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7018047Z             {
2022-11-23T01:30:19.7018248Z                 'guard_types': None,
2022-11-23T01:30:19.7018422Z                 'code': None,
2022-11-23T01:30:19.7018588Z                 'obj_weakref': None
2022-11-23T01:30:19.7018790Z                 'guarded_class': None
2022-11-23T01:30:19.7018895Z             }
2022-11-23T01:30:19.7019006Z             
2022-11-23T01:30:19.7019130Z  - 
2022-11-23T01:30:19.7019372Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7019478Z             {
2022-11-23T01:30:19.7019783Z                 'guard_types': None,
2022-11-23T01:30:19.7019967Z                 'code': None,
2022-11-23T01:30:19.7020161Z                 'obj_weakref': None
2022-11-23T01:30:19.7020364Z                 'guarded_class': None
2022-11-23T01:30:19.7020471Z             }
2022-11-23T01:30:19.7020579Z             
2022-11-23T01:30:19.7021030Z [2022-11-23 01:23:29,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 135
2022-11-23T01:30:19.7021716Z [2022-11-23 01:23:29,990] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cakugsofdso7etktnucpcxukbl7qolhlyxtsft47uenxvagf6r2u.py
2022-11-23T01:30:19.7022201Z [2022-11-23 01:23:29,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 135
2022-11-23T01:30:19.7022582Z [2022-11-23 01:23:30,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7023224Z [2022-11-23 01:23:30,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7023595Z [2022-11-23 01:23:30,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7024021Z [2022-11-23 01:23:30,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7024494Z [2022-11-23 01:23:30,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7025079Z [2022-11-23 01:23:30,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7025717Z [2022-11-23 01:23:30,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7026299Z [2022-11-23 01:23:30,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7026710Z [2022-11-23 01:23:30,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7027104Z [2022-11-23 01:23:30,600] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7027553Z [2022-11-23 01:23:30,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7027977Z [2022-11-23 01:23:30,638] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7028299Z [2022-11-23 01:23:30,638] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7028528Z  __compiled_fn_137 <eval_with_key>.1241 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7028680Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7028855Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7029010Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7029039Z 
2022-11-23T01:30:19.7029622Z [2022-11-23 01:23:30,639] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7029774Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7029924Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7030072Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7030229Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7030378Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7030533Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7030650Z              12 RETURN_VALUE
2022-11-23T01:30:19.7030660Z 
2022-11-23T01:30:19.7030766Z  
2022-11-23T01:30:19.7031392Z [2022-11-23 01:23:30,639] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7031578Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_137)
2022-11-23T01:30:19.7031833Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7031993Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7032126Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7032277Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7032416Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7032545Z              12 RETURN_VALUE
2022-11-23T01:30:19.7032554Z 
2022-11-23T01:30:19.7032663Z  
2022-11-23T01:30:19.7032992Z [2022-11-23 01:23:30,640] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7033121Z  - 
2022-11-23T01:30:19.7033338Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7033452Z             {
2022-11-23T01:30:19.7033666Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7034075Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7034369Z                 'obj_weakref': None
2022-11-23T01:30:19.7034758Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7034858Z             }
2022-11-23T01:30:19.7034966Z             
2022-11-23T01:30:19.7035091Z  - 
2022-11-23T01:30:19.7035282Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7035387Z             {
2022-11-23T01:30:19.7035623Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7035803Z                 'code': None,
2022-11-23T01:30:19.7036160Z                 'obj_weakref': <weakref at 0x7ff58fd53ab0; to 'Tensor' at 0x7ff5a815bbf0>
2022-11-23T01:30:19.7036599Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7036706Z             }
2022-11-23T01:30:19.7036799Z             
2022-11-23T01:30:19.7036914Z  - 
2022-11-23T01:30:19.7037122Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7037235Z             {
2022-11-23T01:30:19.7037464Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7037741Z                 'code': ['___check_obj_id(model, 140693067423632)'],
2022-11-23T01:30:19.7038117Z                 'obj_weakref': <weakref at 0x7ff58f9844f0; to 'Sequential' at 0x7ff5a84e5f90>
2022-11-23T01:30:19.7038500Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7038607Z             }
2022-11-23T01:30:19.7038715Z             
2022-11-23T01:30:19.7038831Z  - 
2022-11-23T01:30:19.7039041Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7039142Z             {
2022-11-23T01:30:19.7039369Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7039731Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7039940Z                 'obj_weakref': None
2022-11-23T01:30:19.7040312Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7040404Z             }
2022-11-23T01:30:19.7040512Z             
2022-11-23T01:30:19.7040633Z  - 
2022-11-23T01:30:19.7040877Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7040974Z             {
2022-11-23T01:30:19.7041189Z                 'guard_types': None,
2022-11-23T01:30:19.7041369Z                 'code': None,
2022-11-23T01:30:19.7041574Z                 'obj_weakref': None
2022-11-23T01:30:19.7041785Z                 'guarded_class': None
2022-11-23T01:30:19.7041895Z             }
2022-11-23T01:30:19.7042006Z             
2022-11-23T01:30:19.7042104Z  - 
2022-11-23T01:30:19.7042347Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7042443Z             {
2022-11-23T01:30:19.7042645Z                 'guard_types': None,
2022-11-23T01:30:19.7042830Z                 'code': None,
2022-11-23T01:30:19.7043030Z                 'obj_weakref': None
2022-11-23T01:30:19.7043224Z                 'guarded_class': None
2022-11-23T01:30:19.7043332Z             }
2022-11-23T01:30:19.7043437Z             
2022-11-23T01:30:19.7043975Z [2022-11-23 01:23:30,649] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 136
2022-11-23T01:30:19.7044624Z [2022-11-23 01:23:30,654] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cps2wgjnzsis5cucfgvykq4vtngasrlhca36hb5lbgqitxhadpif.py
2022-11-23T01:30:19.7045105Z [2022-11-23 01:23:30,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 136
2022-11-23T01:30:19.7045531Z [2022-11-23 01:23:30,817] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7046087Z [2022-11-23 01:23:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7046463Z [2022-11-23 01:23:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7046952Z [2022-11-23 01:23:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7047415Z [2022-11-23 01:23:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7047990Z [2022-11-23 01:23:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7048627Z [2022-11-23 01:23:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7049187Z [2022-11-23 01:23:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7049650Z [2022-11-23 01:23:30,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7050091Z [2022-11-23 01:23:30,832] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7050562Z [2022-11-23 01:23:30,833] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7051030Z [2022-11-23 01:23:30,872] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7051381Z [2022-11-23 01:23:30,872] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7051595Z  __compiled_fn_138 <eval_with_key>.1252 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7051750Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7051928Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7052103Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7052113Z 
2022-11-23T01:30:19.7052736Z [2022-11-23 01:23:30,873] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7052896Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7053042Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7053176Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7053315Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7053459Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7053612Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7053739Z              12 RETURN_VALUE
2022-11-23T01:30:19.7053746Z 
2022-11-23T01:30:19.7053842Z  
2022-11-23T01:30:19.7054435Z [2022-11-23 01:23:30,873] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7054611Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_138)
2022-11-23T01:30:19.7054744Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7054889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7055023Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7055164Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7055312Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7055545Z              12 RETURN_VALUE
2022-11-23T01:30:19.7055556Z 
2022-11-23T01:30:19.7055662Z  
2022-11-23T01:30:19.7055987Z [2022-11-23 01:23:30,874] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7056111Z  - 
2022-11-23T01:30:19.7056321Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7056574Z             {
2022-11-23T01:30:19.7056821Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7057140Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7057363Z                 'obj_weakref': None
2022-11-23T01:30:19.7057746Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7057844Z             }
2022-11-23T01:30:19.7057955Z             
2022-11-23T01:30:19.7058184Z  - 
2022-11-23T01:30:19.7058402Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7058513Z             {
2022-11-23T01:30:19.7058756Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7058928Z                 'code': None,
2022-11-23T01:30:19.7059297Z                 'obj_weakref': <weakref at 0x7ff58fd09760; to 'Tensor' at 0x7ff5a8480400>
2022-11-23T01:30:19.7059731Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7059841Z             }
2022-11-23T01:30:19.7059949Z             
2022-11-23T01:30:19.7060059Z  - 
2022-11-23T01:30:19.7060255Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7060344Z             {
2022-11-23T01:30:19.7060570Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7060866Z                 'code': ['___check_obj_id(model, 140693067423632)'],
2022-11-23T01:30:19.7061239Z                 'obj_weakref': <weakref at 0x7ff58f9844f0; to 'Sequential' at 0x7ff5a84e5f90>
2022-11-23T01:30:19.7061631Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7061736Z             }
2022-11-23T01:30:19.7061842Z             
2022-11-23T01:30:19.7061954Z  - 
2022-11-23T01:30:19.7062152Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7062254Z             {
2022-11-23T01:30:19.7062499Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7062889Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7063097Z                 'obj_weakref': None
2022-11-23T01:30:19.7063485Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7063596Z             }
2022-11-23T01:30:19.7063691Z             
2022-11-23T01:30:19.7063812Z  - 
2022-11-23T01:30:19.7064065Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7064176Z             {
2022-11-23T01:30:19.7064393Z                 'guard_types': None,
2022-11-23T01:30:19.7064581Z                 'code': None,
2022-11-23T01:30:19.7064773Z                 'obj_weakref': None
2022-11-23T01:30:19.7064990Z                 'guarded_class': None
2022-11-23T01:30:19.7065103Z             }
2022-11-23T01:30:19.7065213Z             
2022-11-23T01:30:19.7065335Z  - 
2022-11-23T01:30:19.7065592Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7065704Z             {
2022-11-23T01:30:19.7065880Z                 'guard_types': None,
2022-11-23T01:30:19.7066057Z                 'code': None,
2022-11-23T01:30:19.7066252Z                 'obj_weakref': None
2022-11-23T01:30:19.7066452Z                 'guarded_class': None
2022-11-23T01:30:19.7066556Z             }
2022-11-23T01:30:19.7066659Z             
2022-11-23T01:30:19.7067114Z [2022-11-23 01:23:30,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 137
2022-11-23T01:30:19.7067736Z [2022-11-23 01:23:30,894] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5q/c5qdg5qds3n32wjlryyenwdn56jfo54wfo5haqjrapk7z6li5y5d.py
2022-11-23T01:30:19.7068333Z [2022-11-23 01:23:30,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 137
2022-11-23T01:30:19.7068754Z [2022-11-23 01:23:31,167] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7069326Z [2022-11-23 01:23:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7069704Z [2022-11-23 01:23:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7070131Z [2022-11-23 01:23:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7070598Z [2022-11-23 01:23:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7071246Z [2022-11-23 01:23:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7071859Z [2022-11-23 01:23:31,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7072427Z [2022-11-23 01:23:31,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7072831Z [2022-11-23 01:23:31,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7073242Z [2022-11-23 01:23:31,182] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7073686Z [2022-11-23 01:23:31,183] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7074218Z [2022-11-23 01:23:31,294] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7074556Z [2022-11-23 01:23:31,295] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7074780Z  __compiled_fn_139 <eval_with_key>.1263 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7074934Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7075096Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7075245Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7075271Z 
2022-11-23T01:30:19.7075845Z [2022-11-23 01:23:31,295] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7076001Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7076153Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7076291Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7076440Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7076582Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7076734Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7076840Z              12 RETURN_VALUE
2022-11-23T01:30:19.7076865Z 
2022-11-23T01:30:19.7076951Z  
2022-11-23T01:30:19.7077549Z [2022-11-23 01:23:31,295] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7077735Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_139)
2022-11-23T01:30:19.7077879Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7078021Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7078156Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7078297Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7078433Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7078553Z              12 RETURN_VALUE
2022-11-23T01:30:19.7078562Z 
2022-11-23T01:30:19.7078660Z  
2022-11-23T01:30:19.7078985Z [2022-11-23 01:23:31,296] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7079109Z  - 
2022-11-23T01:30:19.7079310Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7079409Z             {
2022-11-23T01:30:19.7079732Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7080047Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7080246Z                 'obj_weakref': None
2022-11-23T01:30:19.7080629Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7080742Z             }
2022-11-23T01:30:19.7080855Z             
2022-11-23T01:30:19.7080971Z  - 
2022-11-23T01:30:19.7081172Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7081283Z             {
2022-11-23T01:30:19.7081546Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7081733Z                 'code': None,
2022-11-23T01:30:19.7082109Z                 'obj_weakref': <weakref at 0x7ff58fd29a80; to 'Tensor' at 0x7ff5a81b89a0>
2022-11-23T01:30:19.7082641Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7082759Z             }
2022-11-23T01:30:19.7082854Z             
2022-11-23T01:30:19.7082973Z  - 
2022-11-23T01:30:19.7083191Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7083298Z             {
2022-11-23T01:30:19.7083543Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7083849Z                 'code': ['___check_obj_id(model, 140693069458656)'],
2022-11-23T01:30:19.7084252Z                 'obj_weakref': <weakref at 0x7ff5a84e3c40; to 'Sequential' at 0x7ff5a86d6ce0>
2022-11-23T01:30:19.7084654Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7084767Z             }
2022-11-23T01:30:19.7084875Z             
2022-11-23T01:30:19.7084988Z  - 
2022-11-23T01:30:19.7085202Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7085310Z             {
2022-11-23T01:30:19.7085548Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7085931Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7086144Z                 'obj_weakref': None
2022-11-23T01:30:19.7086520Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7086620Z             }
2022-11-23T01:30:19.7086721Z             
2022-11-23T01:30:19.7086834Z  - 
2022-11-23T01:30:19.7087071Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7087160Z             {
2022-11-23T01:30:19.7087369Z                 'guard_types': None,
2022-11-23T01:30:19.7087549Z                 'code': None,
2022-11-23T01:30:19.7087750Z                 'obj_weakref': None
2022-11-23T01:30:19.7087951Z                 'guarded_class': None
2022-11-23T01:30:19.7088059Z             }
2022-11-23T01:30:19.7088160Z             
2022-11-23T01:30:19.7088263Z  - 
2022-11-23T01:30:19.7088504Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7088607Z             {
2022-11-23T01:30:19.7088808Z                 'guard_types': None,
2022-11-23T01:30:19.7088994Z                 'code': None,
2022-11-23T01:30:19.7089196Z                 'obj_weakref': None
2022-11-23T01:30:19.7089410Z                 'guarded_class': None
2022-11-23T01:30:19.7089505Z             }
2022-11-23T01:30:19.7089610Z             
2022-11-23T01:30:19.7090083Z [2022-11-23 01:23:31,306] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 138
2022-11-23T01:30:19.7090094Z 
2022-11-23T01:30:19.7090257Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7090377Z import torch
2022-11-23T01:30:19.7090491Z import random
2022-11-23T01:30:19.7090689Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7090891Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7090901Z 
2022-11-23T01:30:19.7091046Z aten = torch.ops.aten
2022-11-23T01:30:19.7091282Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7091444Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7091453Z 
2022-11-23T01:30:19.7091553Z 
2022-11-23T01:30:19.7091714Z async_compile.wait(globals())
2022-11-23T01:30:19.7091842Z del async_compile
2022-11-23T01:30:19.7091851Z 
2022-11-23T01:30:19.7091974Z def call(args):
2022-11-23T01:30:19.7092179Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7092287Z     args.clear()
2022-11-23T01:30:19.7092532Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:30:19.7092734Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.7092848Z     del arg0_1
2022-11-23T01:30:19.7092956Z     del arg1_1
2022-11-23T01:30:19.7093064Z     del arg7_1
2022-11-23T01:30:19.7093184Z     return (buf0, )
2022-11-23T01:30:19.7093251Z 
2022-11-23T01:30:19.7093258Z 
2022-11-23T01:30:19.7093386Z if __name__ == "__main__":
2022-11-23T01:30:19.7093554Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7093760Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7094161Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7094504Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7094838Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7095168Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7095494Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7095806Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7096104Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7096668Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7096940Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7096950Z 
2022-11-23T01:30:19.7096957Z 
2022-11-23T01:30:19.7097120Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7097239Z import torch
2022-11-23T01:30:19.7097353Z import random
2022-11-23T01:30:19.7097548Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7097731Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7097757Z 
2022-11-23T01:30:19.7097871Z aten = torch.ops.aten
2022-11-23T01:30:19.7098095Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7098257Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7098264Z 
2022-11-23T01:30:19.7098271Z 
2022-11-23T01:30:19.7098507Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7098857Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7099063Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7099231Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7099324Z {
2022-11-23T01:30:19.7099462Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7099554Z     {
2022-11-23T01:30:19.7099671Z         #pragma omp for 
2022-11-23T01:30:19.7099798Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.7099902Z         {
2022-11-23T01:30:19.7100023Z             #pragma GCC ivdep
2022-11-23T01:30:19.7100149Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.7100251Z             {
2022-11-23T01:30:19.7100356Z                 {
2022-11-23T01:30:19.7100466Z                     {
2022-11-23T01:30:19.7100629Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:30:19.7100792Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.7100904Z                     }
2022-11-23T01:30:19.7100985Z                 }
2022-11-23T01:30:19.7101086Z             }
2022-11-23T01:30:19.7101187Z         }
2022-11-23T01:30:19.7101284Z     }
2022-11-23T01:30:19.7101506Z }
2022-11-23T01:30:19.7101669Z ''')
2022-11-23T01:30:19.7101679Z 
2022-11-23T01:30:19.7101686Z 
2022-11-23T01:30:19.7101841Z async_compile.wait(globals())
2022-11-23T01:30:19.7101946Z del async_compile
2022-11-23T01:30:19.7101953Z 
2022-11-23T01:30:19.7102063Z def call(args):
2022-11-23T01:30:19.7102262Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7102374Z     args.clear()
2022-11-23T01:30:19.7102796Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7103023Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7103133Z     del arg7_1
2022-11-23T01:30:19.7103369Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:30:19.7103638Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:30:19.7103762Z     del arg0_1
2022-11-23T01:30:19.7103875Z     del arg1_1
2022-11-23T01:30:19.7103993Z     return (buf1, )
2022-11-23T01:30:19.7104001Z 
2022-11-23T01:30:19.7104008Z 
2022-11-23T01:30:19.7104134Z if __name__ == "__main__":
2022-11-23T01:30:19.7104326Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7104538Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7104929Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7105276Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7105620Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7105949Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7106281Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7106604Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7106929Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7107337Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7107612Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7107623Z 
2022-11-23T01:30:19.7107630Z 
2022-11-23T01:30:19.7107777Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7107897Z import torch
2022-11-23T01:30:19.7108011Z import random
2022-11-23T01:30:19.7108206Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7108406Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7108415Z 
2022-11-23T01:30:19.7108539Z aten = torch.ops.aten
2022-11-23T01:30:19.7108772Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7108940Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7108964Z 
2022-11-23T01:30:19.7108975Z 
2022-11-23T01:30:19.7109107Z async_compile.wait(globals())
2022-11-23T01:30:19.7109228Z del async_compile
2022-11-23T01:30:19.7109236Z 
2022-11-23T01:30:19.7109359Z def call(args):
2022-11-23T01:30:19.7109568Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7109694Z     args.clear()
2022-11-23T01:30:19.7109934Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.7110116Z     assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T01:30:19.7110209Z     del arg0_1
2022-11-23T01:30:19.7110319Z     del arg1_1
2022-11-23T01:30:19.7110425Z     del arg7_1
2022-11-23T01:30:19.7110539Z     return (buf0, )
2022-11-23T01:30:19.7110546Z 
2022-11-23T01:30:19.7110558Z 
2022-11-23T01:30:19.7110685Z if __name__ == "__main__":
2022-11-23T01:30:19.7110872Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7111214Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7111628Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7111950Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7112280Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7112606Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7112924Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7113253Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7113568Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7114073Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7114423Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7114434Z 
2022-11-23T01:30:19.7114441Z 
2022-11-23T01:30:19.7114594Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7114691Z import torch
2022-11-23T01:30:19.7114804Z import random
2022-11-23T01:30:19.7114998Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7115205Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7115213Z 
2022-11-23T01:30:19.7115344Z aten = torch.ops.aten
2022-11-23T01:30:19.7115570Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7115728Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7115736Z 
2022-11-23T01:30:19.7115742Z 
2022-11-23T01:30:19.7115997Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7116332Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7116535Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7116707Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7116809Z {
2022-11-23T01:30:19.7116976Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7117081Z     {
2022-11-23T01:30:19.7117235Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.7117353Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.7117461Z         {
2022-11-23T01:30:19.7117611Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.7117717Z             {
2022-11-23T01:30:19.7117819Z                 {
2022-11-23T01:30:19.7117934Z                     {
2022-11-23T01:30:19.7118086Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:30:19.7118246Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.7118349Z                     }
2022-11-23T01:30:19.7118452Z                 }
2022-11-23T01:30:19.7118558Z             }
2022-11-23T01:30:19.7118657Z         }
2022-11-23T01:30:19.7118759Z     }
2022-11-23T01:30:19.7118844Z }
2022-11-23T01:30:19.7118991Z ''')
2022-11-23T01:30:19.7119000Z 
2022-11-23T01:30:19.7119011Z 
2022-11-23T01:30:19.7119168Z async_compile.wait(globals())
2022-11-23T01:30:19.7119291Z del async_compile
2022-11-23T01:30:19.7119300Z 
2022-11-23T01:30:19.7119422Z def call(args):
2022-11-23T01:30:19.7119626Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7119757Z     args.clear()
2022-11-23T01:30:19.7120175Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7120380Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7120497Z     del arg7_1
2022-11-23T01:30:19.7120733Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:30:19.7120923Z     assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T01:30:19.7121047Z     del arg0_1
2022-11-23T01:30:19.7121158Z     del arg1_1
2022-11-23T01:30:19.7121278Z     return (buf1, )
2022-11-23T01:30:19.7121376Z 
2022-11-23T01:30:19.7121385Z 
2022-11-23T01:30:19.7121500Z if __name__ == "__main__":
2022-11-23T01:30:19.7121696Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7121910Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7122288Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7122613Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7122946Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7123269Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7123596Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7123959Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7124268Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7124651Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7124920Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7124929Z 
2022-11-23T01:30:19.7125537Z [2022-11-23 01:23:31,311] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfiiz3sw7ji5ibt2tuewxyatbmckziut6z4qnguzegvb5mquwmvm.py
2022-11-23T01:30:19.7125996Z [2022-11-23 01:23:31,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 138
2022-11-23T01:30:19.7126399Z [2022-11-23 01:23:32,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7126939Z [2022-11-23 01:23:32,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7127322Z [2022-11-23 01:23:32,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7127732Z [2022-11-23 01:23:32,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7128200Z [2022-11-23 01:23:32,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7128755Z [2022-11-23 01:23:32,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7129351Z [2022-11-23 01:23:32,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7129888Z [2022-11-23 01:23:32,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7130344Z [2022-11-23 01:23:32,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7130769Z [2022-11-23 01:23:32,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7131227Z [2022-11-23 01:23:32,115] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7131664Z [2022-11-23 01:23:32,245] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7131982Z [2022-11-23 01:23:32,245] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7132198Z  __compiled_fn_140 <eval_with_key>.1274 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7132347Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7132513Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7132680Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7132693Z 
2022-11-23T01:30:19.7133349Z [2022-11-23 01:23:32,246] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7133511Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7133668Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7133809Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7133925Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7134063Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7134210Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7134335Z              12 RETURN_VALUE
2022-11-23T01:30:19.7134343Z 
2022-11-23T01:30:19.7134438Z  
2022-11-23T01:30:19.7135023Z [2022-11-23 01:23:32,246] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7135199Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_140)
2022-11-23T01:30:19.7135416Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7135541Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7135670Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7135809Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7135957Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7136083Z              12 RETURN_VALUE
2022-11-23T01:30:19.7136093Z 
2022-11-23T01:30:19.7136192Z  
2022-11-23T01:30:19.7136761Z [2022-11-23 01:23:32,247] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7136836Z  - 
2022-11-23T01:30:19.7136963Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7137029Z             {
2022-11-23T01:30:19.7137173Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7137363Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7137485Z                 'obj_weakref': None
2022-11-23T01:30:19.7137717Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7137770Z             }
2022-11-23T01:30:19.7137834Z             
2022-11-23T01:30:19.7137910Z  - 
2022-11-23T01:30:19.7138035Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7138099Z             {
2022-11-23T01:30:19.7138241Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7138349Z                 'code': None,
2022-11-23T01:30:19.7138549Z                 'obj_weakref': <weakref at 0x7ff58ff5b0b0; to 'Tensor' at 0x7ff59c1ecbd0>
2022-11-23T01:30:19.7138802Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7138866Z             }
2022-11-23T01:30:19.7138930Z             
2022-11-23T01:30:19.7138999Z  - 
2022-11-23T01:30:19.7139118Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7139182Z             {
2022-11-23T01:30:19.7139305Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7139476Z                 'code': ['___check_obj_id(model, 140693069458656)'],
2022-11-23T01:30:19.7139699Z                 'obj_weakref': <weakref at 0x7ff5a84e3c40; to 'Sequential' at 0x7ff5a86d6ce0>
2022-11-23T01:30:19.7139936Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7140000Z             }
2022-11-23T01:30:19.7140066Z             
2022-11-23T01:30:19.7140135Z  - 
2022-11-23T01:30:19.7140244Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7140309Z             {
2022-11-23T01:30:19.7140446Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7140665Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7140784Z                 'obj_weakref': None
2022-11-23T01:30:19.7141007Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7141073Z             }
2022-11-23T01:30:19.7141124Z             
2022-11-23T01:30:19.7141195Z  - 
2022-11-23T01:30:19.7141340Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7141490Z             {
2022-11-23T01:30:19.7141615Z                 'guard_types': None,
2022-11-23T01:30:19.7141723Z                 'code': None,
2022-11-23T01:30:19.7141842Z                 'obj_weakref': None
2022-11-23T01:30:19.7141951Z                 'guarded_class': None
2022-11-23T01:30:19.7142015Z             }
2022-11-23T01:30:19.7142077Z             
2022-11-23T01:30:19.7142146Z  - 
2022-11-23T01:30:19.7142290Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7142357Z             {
2022-11-23T01:30:19.7142480Z                 'guard_types': None,
2022-11-23T01:30:19.7142573Z                 'code': None,
2022-11-23T01:30:19.7142690Z                 'obj_weakref': None
2022-11-23T01:30:19.7142812Z                 'guarded_class': None
2022-11-23T01:30:19.7142875Z             }
2022-11-23T01:30:19.7142979Z             
2022-11-23T01:30:19.7143244Z [2022-11-23 01:23:32,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 139
2022-11-23T01:30:19.7143613Z [2022-11-23 01:23:32,282] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6m/c6m7vgjhnbiovv75qpokuda2m5qv5dzmmwow6k5do5csgs2gsjnk.py
2022-11-23T01:30:19.7143866Z [2022-11-23 01:23:32,282] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 139
2022-11-23T01:30:19.7144104Z [2022-11-23 01:23:32,977] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7144418Z [2022-11-23 01:23:32,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7144635Z [2022-11-23 01:23:32,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7144879Z [2022-11-23 01:23:32,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7145151Z [2022-11-23 01:23:32,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7145470Z [2022-11-23 01:23:32,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7145804Z [2022-11-23 01:23:32,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7146113Z [2022-11-23 01:23:32,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7146357Z [2022-11-23 01:23:32,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7146577Z [2022-11-23 01:23:32,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7146833Z [2022-11-23 01:23:32,993] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7147083Z [2022-11-23 01:23:33,060] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7147270Z [2022-11-23 01:23:33,060] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7147405Z  __compiled_fn_141 <eval_with_key>.1285 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7147496Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7147596Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7147696Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7147702Z 
2022-11-23T01:30:19.7148031Z [2022-11-23 01:23:33,061] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7148113Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7148203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7148292Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7148385Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7148503Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7148593Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7148670Z              12 RETURN_VALUE
2022-11-23T01:30:19.7148676Z 
2022-11-23T01:30:19.7148724Z  
2022-11-23T01:30:19.7149048Z [2022-11-23 01:23:33,061] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7149156Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_141)
2022-11-23T01:30:19.7149246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7149338Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7149414Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7149503Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7149623Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7149687Z              12 RETURN_VALUE
2022-11-23T01:30:19.7149692Z 
2022-11-23T01:30:19.7149752Z  
2022-11-23T01:30:19.7149936Z [2022-11-23 01:23:33,062] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7150008Z  - 
2022-11-23T01:30:19.7150127Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7150191Z             {
2022-11-23T01:30:19.7150332Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7150508Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7150627Z                 'obj_weakref': None
2022-11-23T01:30:19.7150852Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7150914Z             }
2022-11-23T01:30:19.7150980Z             
2022-11-23T01:30:19.7151048Z  - 
2022-11-23T01:30:19.7151171Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7151232Z             {
2022-11-23T01:30:19.7151376Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7151470Z                 'code': None,
2022-11-23T01:30:19.7151686Z                 'obj_weakref': <weakref at 0x7ff58fda4fe0; to 'Tensor' at 0x7ff5a815bbf0>
2022-11-23T01:30:19.7151937Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7152002Z             }
2022-11-23T01:30:19.7152063Z             
2022-11-23T01:30:19.7152130Z  - 
2022-11-23T01:30:19.7152248Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7152298Z             {
2022-11-23T01:30:19.7152428Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7152596Z                 'code': ['___check_obj_id(model, 140693070724544)'],
2022-11-23T01:30:19.7152817Z                 'obj_weakref': <weakref at 0x7ff58ff593f0; to 'Sequential' at 0x7ff5a880bdc0>
2022-11-23T01:30:19.7153049Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7153116Z             }
2022-11-23T01:30:19.7153177Z             
2022-11-23T01:30:19.7153244Z  - 
2022-11-23T01:30:19.7153355Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7153416Z             {
2022-11-23T01:30:19.7153551Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7153768Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7153969Z                 'obj_weakref': None
2022-11-23T01:30:19.7154191Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7154256Z             }
2022-11-23T01:30:19.7154308Z             
2022-11-23T01:30:19.7154377Z  - 
2022-11-23T01:30:19.7154525Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7154590Z             {
2022-11-23T01:30:19.7154711Z                 'guard_types': None,
2022-11-23T01:30:19.7154819Z                 'code': None,
2022-11-23T01:30:19.7154927Z                 'obj_weakref': None
2022-11-23T01:30:19.7155050Z                 'guarded_class': None
2022-11-23T01:30:19.7155115Z             }
2022-11-23T01:30:19.7155214Z             
2022-11-23T01:30:19.7155285Z  - 
2022-11-23T01:30:19.7155432Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7155496Z             {
2022-11-23T01:30:19.7155602Z                 'guard_types': None,
2022-11-23T01:30:19.7155710Z                 'code': None,
2022-11-23T01:30:19.7155829Z                 'obj_weakref': None
2022-11-23T01:30:19.7155951Z                 'guarded_class': None
2022-11-23T01:30:19.7156016Z             }
2022-11-23T01:30:19.7156079Z             
2022-11-23T01:30:19.7156342Z [2022-11-23 01:23:33,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 140
2022-11-23T01:30:19.7156691Z [2022-11-23 01:23:33,076] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dny33z2ywgm7ehimowpu726zvfz73i6tpu5kcqgyvqvi33v4ip.py
2022-11-23T01:30:19.7156985Z [2022-11-23 01:23:33,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 140
2022-11-23T01:30:19.7157223Z [2022-11-23 01:23:33,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7157540Z [2022-11-23 01:23:33,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7157758Z [2022-11-23 01:23:33,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7158001Z [2022-11-23 01:23:33,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7158271Z [2022-11-23 01:23:33,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7158584Z [2022-11-23 01:23:33,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7158922Z [2022-11-23 01:23:33,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7159232Z [2022-11-23 01:23:33,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7159463Z [2022-11-23 01:23:33,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7159696Z [2022-11-23 01:23:33,328] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7159948Z [2022-11-23 01:23:33,329] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7160198Z [2022-11-23 01:23:33,385] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7160386Z [2022-11-23 01:23:33,386] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7160523Z  __compiled_fn_142 <eval_with_key>.1296 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7160614Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7160717Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7160805Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7160825Z 
2022-11-23T01:30:19.7161137Z [2022-11-23 01:23:33,386] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7161231Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7161323Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7161408Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7161501Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7161589Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7161679Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7161744Z              12 RETURN_VALUE
2022-11-23T01:30:19.7161764Z 
2022-11-23T01:30:19.7161812Z  
2022-11-23T01:30:19.7162164Z [2022-11-23 01:23:33,386] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7162276Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_142)
2022-11-23T01:30:19.7162367Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7162458Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7162532Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7162621Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7162698Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7162772Z              12 RETURN_VALUE
2022-11-23T01:30:19.7162777Z 
2022-11-23T01:30:19.7162838Z  
2022-11-23T01:30:19.7163023Z [2022-11-23 01:23:33,388] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7163092Z  - 
2022-11-23T01:30:19.7163236Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7163299Z             {
2022-11-23T01:30:19.7163426Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7163612Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7163730Z                 'obj_weakref': None
2022-11-23T01:30:19.7163954Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7164018Z             }
2022-11-23T01:30:19.7164079Z             
2022-11-23T01:30:19.7164146Z  - 
2022-11-23T01:30:19.7164258Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7164319Z             {
2022-11-23T01:30:19.7164459Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7164564Z                 'code': None,
2022-11-23T01:30:19.7164774Z                 'obj_weakref': <weakref at 0x7ff58fd50810; to 'Tensor' at 0x7ff59c2077e0>
2022-11-23T01:30:19.7165026Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7165092Z             }
2022-11-23T01:30:19.7165141Z             
2022-11-23T01:30:19.7165207Z  - 
2022-11-23T01:30:19.7165329Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7165393Z             {
2022-11-23T01:30:19.7165525Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7165691Z                 'code': ['___check_obj_id(model, 140693070724544)'],
2022-11-23T01:30:19.7165912Z                 'obj_weakref': <weakref at 0x7ff58ff593f0; to 'Sequential' at 0x7ff5a880bdc0>
2022-11-23T01:30:19.7166132Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7166194Z             }
2022-11-23T01:30:19.7166255Z             
2022-11-23T01:30:19.7166321Z  - 
2022-11-23T01:30:19.7166441Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7166502Z             {
2022-11-23T01:30:19.7166636Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7166842Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7166958Z                 'obj_weakref': None
2022-11-23T01:30:19.7167179Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7167242Z             }
2022-11-23T01:30:19.7167305Z             
2022-11-23T01:30:19.7167372Z  - 
2022-11-23T01:30:19.7167515Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7167566Z             {
2022-11-23T01:30:19.7167681Z                 'guard_types': None,
2022-11-23T01:30:19.7167785Z                 'code': None,
2022-11-23T01:30:19.7167900Z                 'obj_weakref': None
2022-11-23T01:30:19.7168017Z                 'guarded_class': None
2022-11-23T01:30:19.7168077Z             }
2022-11-23T01:30:19.7168138Z             
2022-11-23T01:30:19.7168193Z  - 
2022-11-23T01:30:19.7168334Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7168399Z             {
2022-11-23T01:30:19.7168517Z                 'guard_types': None,
2022-11-23T01:30:19.7168621Z                 'code': None,
2022-11-23T01:30:19.7168763Z                 'obj_weakref': None
2022-11-23T01:30:19.7168884Z                 'guarded_class': None
2022-11-23T01:30:19.7168934Z             }
2022-11-23T01:30:19.7168995Z             
2022-11-23T01:30:19.7169254Z [2022-11-23 01:23:33,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 141
2022-11-23T01:30:19.7169621Z [2022-11-23 01:23:33,416] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nu/cnud3cwsrwiz22pnsyne5bl5wcerpg5jihj6eys6jyzjb57n3c7c.py
2022-11-23T01:30:19.7169882Z [2022-11-23 01:23:33,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 141
2022-11-23T01:30:19.7170116Z [2022-11-23 01:23:33,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7170427Z [2022-11-23 01:23:33,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7170673Z [2022-11-23 01:23:33,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7170901Z [2022-11-23 01:23:33,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7171168Z [2022-11-23 01:23:33,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7171477Z [2022-11-23 01:23:33,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7171809Z [2022-11-23 01:23:33,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7172118Z [2022-11-23 01:23:33,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7172362Z [2022-11-23 01:23:33,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7172595Z [2022-11-23 01:23:33,702] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7172844Z [2022-11-23 01:23:33,703] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7173092Z [2022-11-23 01:23:33,831] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7173276Z [2022-11-23 01:23:33,831] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7173397Z  __compiled_fn_143 <eval_with_key>.1307 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7173484Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7173582Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7173678Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7173686Z 
2022-11-23T01:30:19.7174010Z [2022-11-23 01:23:33,831] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7174102Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7174191Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7174276Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7174355Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7174438Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7174523Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7174597Z              12 RETURN_VALUE
2022-11-23T01:30:19.7174602Z 
2022-11-23T01:30:19.7174662Z  
2022-11-23T01:30:19.7174981Z [2022-11-23 01:23:33,832] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7175090Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_143)
2022-11-23T01:30:19.7175169Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7175259Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7175362Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7175449Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7175538Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7175610Z              12 RETURN_VALUE
2022-11-23T01:30:19.7175615Z 
2022-11-23T01:30:19.7175675Z  
2022-11-23T01:30:19.7175857Z [2022-11-23 01:23:33,832] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7175913Z  - 
2022-11-23T01:30:19.7176030Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7176093Z             {
2022-11-23T01:30:19.7176233Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7176582Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7176753Z                 'obj_weakref': None
2022-11-23T01:30:19.7177036Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7177088Z             }
2022-11-23T01:30:19.7177150Z             
2022-11-23T01:30:19.7177224Z  - 
2022-11-23T01:30:19.7177348Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7177411Z             {
2022-11-23T01:30:19.7177553Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7177658Z                 'code': None,
2022-11-23T01:30:19.7177857Z                 'obj_weakref': <weakref at 0x7ff58fe06e80; to 'Tensor' at 0x7ff5a831ff60>
2022-11-23T01:30:19.7178107Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7178172Z             }
2022-11-23T01:30:19.7178234Z             
2022-11-23T01:30:19.7178304Z  - 
2022-11-23T01:30:19.7178422Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7178484Z             {
2022-11-23T01:30:19.7178606Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7178776Z                 'code': ['___check_obj_id(model, 140693070715616)'],
2022-11-23T01:30:19.7178999Z                 'obj_weakref': <weakref at 0x7ff58fd53d30; to 'Sequential' at 0x7ff5a8809ae0>
2022-11-23T01:30:19.7179229Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7179292Z             }
2022-11-23T01:30:19.7179353Z             
2022-11-23T01:30:19.7179420Z  - 
2022-11-23T01:30:19.7179530Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7179591Z             {
2022-11-23T01:30:19.7179727Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7179942Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7180057Z                 'obj_weakref': None
2022-11-23T01:30:19.7180275Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7180339Z             }
2022-11-23T01:30:19.7180388Z             
2022-11-23T01:30:19.7180455Z  - 
2022-11-23T01:30:19.7180600Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7180661Z             {
2022-11-23T01:30:19.7180780Z                 'guard_types': None,
2022-11-23T01:30:19.7180885Z                 'code': None,
2022-11-23T01:30:19.7181001Z                 'obj_weakref': None
2022-11-23T01:30:19.7181109Z                 'guarded_class': None
2022-11-23T01:30:19.7181170Z             }
2022-11-23T01:30:19.7181232Z             
2022-11-23T01:30:19.7181299Z  - 
2022-11-23T01:30:19.7181440Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7181502Z             {
2022-11-23T01:30:19.7181607Z                 'guard_types': None,
2022-11-23T01:30:19.7181709Z                 'code': None,
2022-11-23T01:30:19.7181824Z                 'obj_weakref': None
2022-11-23T01:30:19.7181943Z                 'guarded_class': None
2022-11-23T01:30:19.7182004Z             }
2022-11-23T01:30:19.7182067Z             
2022-11-23T01:30:19.7182326Z [2022-11-23 01:23:33,842] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 142
2022-11-23T01:30:19.7182331Z 
2022-11-23T01:30:19.7182474Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7182531Z import torch
2022-11-23T01:30:19.7182599Z import random
2022-11-23T01:30:19.7182714Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7182832Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7182838Z 
2022-11-23T01:30:19.7182916Z aten = torch.ops.aten
2022-11-23T01:30:19.7183048Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7183140Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7183145Z 
2022-11-23T01:30:19.7183149Z 
2022-11-23T01:30:19.7183224Z async_compile.wait(globals())
2022-11-23T01:30:19.7183295Z del async_compile
2022-11-23T01:30:19.7183299Z 
2022-11-23T01:30:19.7183370Z def call(args):
2022-11-23T01:30:19.7183487Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7183594Z     args.clear()
2022-11-23T01:30:19.7183734Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:30:19.7183850Z     assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T01:30:19.7183916Z     del arg0_1
2022-11-23T01:30:19.7183968Z     del arg1_1
2022-11-23T01:30:19.7184032Z     del arg7_1
2022-11-23T01:30:19.7184103Z     return (buf0, )
2022-11-23T01:30:19.7184107Z 
2022-11-23T01:30:19.7184112Z 
2022-11-23T01:30:19.7184187Z if __name__ == "__main__":
2022-11-23T01:30:19.7184301Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7184422Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7184646Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7184829Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7185022Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7185212Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7185398Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7185585Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7185764Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7185999Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7186157Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7186162Z 
2022-11-23T01:30:19.7186166Z 
2022-11-23T01:30:19.7186258Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7186317Z import torch
2022-11-23T01:30:19.7186385Z import random
2022-11-23T01:30:19.7186500Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7186620Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7186625Z 
2022-11-23T01:30:19.7186702Z aten = torch.ops.aten
2022-11-23T01:30:19.7186834Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7186923Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7186928Z 
2022-11-23T01:30:19.7186932Z 
2022-11-23T01:30:19.7187063Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7187254Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7187372Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7187471Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7187531Z {
2022-11-23T01:30:19.7187627Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7187686Z     {
2022-11-23T01:30:19.7187762Z         #pragma omp for 
2022-11-23T01:30:19.7187833Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.7187895Z         {
2022-11-23T01:30:19.7187973Z             #pragma GCC ivdep
2022-11-23T01:30:19.7188091Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.7188155Z             {
2022-11-23T01:30:19.7188216Z                 {
2022-11-23T01:30:19.7188284Z                     {
2022-11-23T01:30:19.7188375Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:30:19.7188471Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.7188538Z                     }
2022-11-23T01:30:19.7188602Z                 }
2022-11-23T01:30:19.7188663Z             }
2022-11-23T01:30:19.7188725Z         }
2022-11-23T01:30:19.7188773Z     }
2022-11-23T01:30:19.7188830Z }
2022-11-23T01:30:19.7188909Z ''')
2022-11-23T01:30:19.7188914Z 
2022-11-23T01:30:19.7188918Z 
2022-11-23T01:30:19.7189006Z async_compile.wait(globals())
2022-11-23T01:30:19.7189078Z del async_compile
2022-11-23T01:30:19.7189082Z 
2022-11-23T01:30:19.7189179Z def call(args):
2022-11-23T01:30:19.7189296Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7189365Z     args.clear()
2022-11-23T01:30:19.7189592Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7189722Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7189789Z     del arg7_1
2022-11-23T01:30:19.7189927Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:30:19.7190043Z     assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T01:30:19.7190109Z     del arg0_1
2022-11-23T01:30:19.7190174Z     del arg1_1
2022-11-23T01:30:19.7190231Z     return (buf1, )
2022-11-23T01:30:19.7190247Z 
2022-11-23T01:30:19.7190251Z 
2022-11-23T01:30:19.7190313Z if __name__ == "__main__":
2022-11-23T01:30:19.7190424Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7190547Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7190769Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7190961Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7191151Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7191338Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7191513Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7191695Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7191870Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7192104Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7192259Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7192264Z 
2022-11-23T01:30:19.7192268Z 
2022-11-23T01:30:19.7192363Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7192436Z import torch
2022-11-23T01:30:19.7192543Z import random
2022-11-23T01:30:19.7192658Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7192764Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7192769Z 
2022-11-23T01:30:19.7192850Z aten = torch.ops.aten
2022-11-23T01:30:19.7192985Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7193078Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7193083Z 
2022-11-23T01:30:19.7193087Z 
2022-11-23T01:30:19.7193178Z async_compile.wait(globals())
2022-11-23T01:30:19.7193252Z del async_compile
2022-11-23T01:30:19.7193256Z 
2022-11-23T01:30:19.7193328Z def call(args):
2022-11-23T01:30:19.7193446Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7193506Z     args.clear()
2022-11-23T01:30:19.7193679Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:30:19.7193886Z     assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T01:30:19.7193957Z     del arg0_1
2022-11-23T01:30:19.7194025Z     del arg1_1
2022-11-23T01:30:19.7194092Z     del arg7_1
2022-11-23T01:30:19.7194165Z     return (buf0, )
2022-11-23T01:30:19.7194171Z 
2022-11-23T01:30:19.7194175Z 
2022-11-23T01:30:19.7194237Z if __name__ == "__main__":
2022-11-23T01:30:19.7194355Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7194478Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7194704Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7194895Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7195121Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7195310Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7195497Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7195669Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7195849Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7196082Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7196238Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7196243Z 
2022-11-23T01:30:19.7196247Z 
2022-11-23T01:30:19.7196343Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7196414Z import torch
2022-11-23T01:30:19.7196486Z import random
2022-11-23T01:30:19.7196604Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7196712Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7196732Z 
2022-11-23T01:30:19.7196799Z aten = torch.ops.aten
2022-11-23T01:30:19.7196933Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7197026Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7197031Z 
2022-11-23T01:30:19.7197036Z 
2022-11-23T01:30:19.7197173Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7197379Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7197499Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7197601Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7197649Z {
2022-11-23T01:30:19.7197749Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7197814Z     {
2022-11-23T01:30:19.7197906Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.7197992Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.7198056Z         {
2022-11-23T01:30:19.7198147Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.7198199Z             {
2022-11-23T01:30:19.7198263Z                 {
2022-11-23T01:30:19.7198330Z                     {
2022-11-23T01:30:19.7198430Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:30:19.7198529Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.7198599Z                     }
2022-11-23T01:30:19.7198665Z                 }
2022-11-23T01:30:19.7198716Z             }
2022-11-23T01:30:19.7198780Z         }
2022-11-23T01:30:19.7198842Z     }
2022-11-23T01:30:19.7198904Z }
2022-11-23T01:30:19.7198980Z ''')
2022-11-23T01:30:19.7198986Z 
2022-11-23T01:30:19.7198990Z 
2022-11-23T01:30:19.7199077Z async_compile.wait(globals())
2022-11-23T01:30:19.7199146Z del async_compile
2022-11-23T01:30:19.7199151Z 
2022-11-23T01:30:19.7199207Z def call(args):
2022-11-23T01:30:19.7199322Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7199395Z     args.clear()
2022-11-23T01:30:19.7199659Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7199793Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7199858Z     del arg7_1
2022-11-23T01:30:19.7199998Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:30:19.7200110Z     assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T01:30:19.7200166Z     del arg0_1
2022-11-23T01:30:19.7200233Z     del arg1_1
2022-11-23T01:30:19.7200303Z     return (buf1, )
2022-11-23T01:30:19.7200308Z 
2022-11-23T01:30:19.7200312Z 
2022-11-23T01:30:19.7200386Z if __name__ == "__main__":
2022-11-23T01:30:19.7200500Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7200620Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7200866Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7201047Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7201235Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7201420Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7201609Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7201796Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7201973Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7202200Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7202354Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7202361Z 
2022-11-23T01:30:19.7202735Z [2022-11-23 01:23:33,847] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqzpig3sjl3xvzyap6wdlrf42a7khowpaaq37r5xtpqtzayznvq.py
2022-11-23T01:30:19.7202987Z [2022-11-23 01:23:33,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 142
2022-11-23T01:30:19.7203222Z [2022-11-23 01:23:34,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7203535Z [2022-11-23 01:23:34,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7203750Z [2022-11-23 01:23:34,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7203992Z [2022-11-23 01:23:34,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7204258Z [2022-11-23 01:23:34,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7204574Z [2022-11-23 01:23:34,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7204911Z [2022-11-23 01:23:34,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7205220Z [2022-11-23 01:23:34,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7205465Z [2022-11-23 01:23:34,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7205685Z [2022-11-23 01:23:34,510] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7205937Z [2022-11-23 01:23:34,511] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7206186Z [2022-11-23 01:23:34,641] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7206408Z [2022-11-23 01:23:34,641] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7206542Z  __compiled_fn_144 <eval_with_key>.1318 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7206630Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7206727Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7206825Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:19.7206830Z 
2022-11-23T01:30:19.7207151Z [2022-11-23 01:23:34,642] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7207233Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7207322Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7207406Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7207528Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7207616Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7207704Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7207779Z              12 RETURN_VALUE
2022-11-23T01:30:19.7207784Z 
2022-11-23T01:30:19.7207831Z  
2022-11-23T01:30:19.7208151Z [2022-11-23 01:23:34,642] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7208258Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_144)
2022-11-23T01:30:19.7208350Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7208437Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7208513Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7208598Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7208684Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7208746Z              12 RETURN_VALUE
2022-11-23T01:30:19.7208753Z 
2022-11-23T01:30:19.7208812Z  
2022-11-23T01:30:19.7208993Z [2022-11-23 01:23:34,642] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7209060Z  - 
2022-11-23T01:30:19.7209180Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7209244Z             {
2022-11-23T01:30:19.7209384Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7209555Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7209671Z                 'obj_weakref': None
2022-11-23T01:30:19.7209894Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7209958Z             }
2022-11-23T01:30:19.7210019Z             
2022-11-23T01:30:19.7210086Z  - 
2022-11-23T01:30:19.7210208Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7210259Z             {
2022-11-23T01:30:19.7210400Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7210508Z                 'code': None,
2022-11-23T01:30:19.7210715Z                 'obj_weakref': <weakref at 0x7ff59c139760; to 'Tensor' at 0x7ff58fd2b790>
2022-11-23T01:30:19.7210967Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7211029Z             }
2022-11-23T01:30:19.7211091Z             
2022-11-23T01:30:19.7211146Z  - 
2022-11-23T01:30:19.7211264Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7211325Z             {
2022-11-23T01:30:19.7211457Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7211625Z                 'code': ['___check_obj_id(model, 140693070715616)'],
2022-11-23T01:30:19.7211844Z                 'obj_weakref': <weakref at 0x7ff58fd53d30; to 'Sequential' at 0x7ff5a8809ae0>
2022-11-23T01:30:19.7212077Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7212127Z             }
2022-11-23T01:30:19.7212188Z             
2022-11-23T01:30:19.7212259Z  - 
2022-11-23T01:30:19.7212381Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7212443Z             {
2022-11-23T01:30:19.7212606Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7212825Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7212930Z                 'obj_weakref': None
2022-11-23T01:30:19.7213147Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7213209Z             }
2022-11-23T01:30:19.7213270Z             
2022-11-23T01:30:19.7213338Z  - 
2022-11-23T01:30:19.7213483Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7213544Z             {
2022-11-23T01:30:19.7213652Z                 'guard_types': None,
2022-11-23T01:30:19.7213755Z                 'code': None,
2022-11-23T01:30:19.7213872Z                 'obj_weakref': None
2022-11-23T01:30:19.7213991Z                 'guarded_class': None
2022-11-23T01:30:19.7214081Z             }
2022-11-23T01:30:19.7214141Z             
2022-11-23T01:30:19.7214208Z  - 
2022-11-23T01:30:19.7214342Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7214404Z             {
2022-11-23T01:30:19.7214520Z                 'guard_types': None,
2022-11-23T01:30:19.7214625Z                 'code': None,
2022-11-23T01:30:19.7214739Z                 'obj_weakref': None
2022-11-23T01:30:19.7214858Z                 'guarded_class': None
2022-11-23T01:30:19.7214908Z             }
2022-11-23T01:30:19.7214969Z             
2022-11-23T01:30:19.7215227Z [2022-11-23 01:23:34,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 143
2022-11-23T01:30:19.7215603Z [2022-11-23 01:23:34,667] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n2/cn2kopbznstlhm5vamkjzvmtgx6acqincsttr7s3pslkjgm5kefp.py
2022-11-23T01:30:19.7215865Z [2022-11-23 01:23:34,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 143
2022-11-23T01:30:19.7215873Z 
2022-11-23T01:30:19.7215964Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7216033Z import torch
2022-11-23T01:30:19.7216102Z import random
2022-11-23T01:30:19.7216203Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7216322Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7216327Z 
2022-11-23T01:30:19.7216537Z aten = torch.ops.aten
2022-11-23T01:30:19.7216714Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7216807Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7216812Z 
2022-11-23T01:30:19.7216816Z 
2022-11-23T01:30:19.7216902Z async_compile.wait(globals())
2022-11-23T01:30:19.7216974Z del async_compile
2022-11-23T01:30:19.7216979Z 
2022-11-23T01:30:19.7217049Z def call(args):
2022-11-23T01:30:19.7217156Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7217227Z     args.clear()
2022-11-23T01:30:19.7217368Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:30:19.7217487Z     assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T01:30:19.7217556Z     del arg0_1
2022-11-23T01:30:19.7217622Z     del arg1_1
2022-11-23T01:30:19.7217688Z     del arg7_1
2022-11-23T01:30:19.7217745Z     return (buf0, )
2022-11-23T01:30:19.7217764Z 
2022-11-23T01:30:19.7217768Z 
2022-11-23T01:30:19.7217831Z if __name__ == "__main__":
2022-11-23T01:30:19.7217945Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7218067Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7218292Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7218489Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7218681Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7218871Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7219117Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7219295Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7219471Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7219706Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7219860Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7219865Z 
2022-11-23T01:30:19.7219870Z 
2022-11-23T01:30:19.7219964Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7220035Z import torch
2022-11-23T01:30:19.7220105Z import random
2022-11-23T01:30:19.7220219Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7220326Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7220397Z 
2022-11-23T01:30:19.7220476Z aten = torch.ops.aten
2022-11-23T01:30:19.7220610Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7220703Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7220707Z 
2022-11-23T01:30:19.7220712Z 
2022-11-23T01:30:19.7220844Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7221048Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7221166Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7221270Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7221318Z {
2022-11-23T01:30:19.7221422Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7221482Z     {
2022-11-23T01:30:19.7221558Z         #pragma omp for 
2022-11-23T01:30:19.7221639Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.7221702Z         {
2022-11-23T01:30:19.7221784Z             #pragma GCC ivdep
2022-11-23T01:30:19.7221862Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:30:19.7221925Z             {
2022-11-23T01:30:19.7221990Z                 {
2022-11-23T01:30:19.7222059Z                     {
2022-11-23T01:30:19.7222162Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:30:19.7222258Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:30:19.7222323Z                     }
2022-11-23T01:30:19.7222374Z                 }
2022-11-23T01:30:19.7222436Z             }
2022-11-23T01:30:19.7222498Z         }
2022-11-23T01:30:19.7222559Z     }
2022-11-23T01:30:19.7222616Z }
2022-11-23T01:30:19.7222694Z ''')
2022-11-23T01:30:19.7222698Z 
2022-11-23T01:30:19.7222703Z 
2022-11-23T01:30:19.7222778Z async_compile.wait(globals())
2022-11-23T01:30:19.7222851Z del async_compile
2022-11-23T01:30:19.7222855Z 
2022-11-23T01:30:19.7222927Z def call(args):
2022-11-23T01:30:19.7223044Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:30:19.7223116Z     args.clear()
2022-11-23T01:30:19.7223354Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7223486Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7223553Z     del arg7_1
2022-11-23T01:30:19.7223679Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:30:19.7223796Z     assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T01:30:19.7223863Z     del arg0_1
2022-11-23T01:30:19.7223929Z     del arg1_1
2022-11-23T01:30:19.7223999Z     return (buf1, )
2022-11-23T01:30:19.7224004Z 
2022-11-23T01:30:19.7224008Z 
2022-11-23T01:30:19.7224081Z if __name__ == "__main__":
2022-11-23T01:30:19.7224193Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7224314Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7224522Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7224754Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7224945Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7225130Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7225315Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7225500Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7225677Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7225908Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7226049Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:30:19.7226082Z 
2022-11-23T01:30:19.7226148Z ok (24.672s)
2022-11-23T01:30:19.7226465Z   test_convolution1_cpu (__main__.CpuTests) ... [2022-11-23 01:23:35,121] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7226781Z [2022-11-23 01:23:35,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7226997Z [2022-11-23 01:23:35,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7227244Z [2022-11-23 01:23:35,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7227512Z [2022-11-23 01:23:35,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7227821Z [2022-11-23 01:23:35,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7228158Z [2022-11-23 01:23:35,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7228467Z [2022-11-23 01:23:35,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7228836Z [2022-11-23 01:23:35,126] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.7228927Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.7229016Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.7229093Z               4 RETURN_VALUE
2022-11-23T01:30:19.7229152Z  
2022-11-23T01:30:19.7229158Z 
2022-11-23T01:30:19.7229468Z [2022-11-23 01:23:35,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.7229677Z [2022-11-23 01:23:35,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.7229920Z [2022-11-23 01:23:35,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.7230153Z [2022-11-23 01:23:35,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7230537Z [2022-11-23 01:23:35,127] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.7230779Z [2022-11-23 01:23:35,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7231011Z [2022-11-23 01:23:35,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7231263Z [2022-11-23 01:23:35,128] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7231510Z [2022-11-23 01:23:35,133] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7231725Z [2022-11-23 01:23:35,134] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7231861Z  __compiled_fn_145 <eval_with_key>.1324 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7231948Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7232036Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7232139Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:30:19.7232239Z output, output, output, ((model_1,),), {}
2022-11-23T01:30:19.7232245Z 
2022-11-23T01:30:19.7232569Z [2022-11-23 01:23:35,134] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7232665Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7232758Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7232877Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7232971Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7233046Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7233137Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7233216Z              12 RETURN_VALUE
2022-11-23T01:30:19.7233221Z 
2022-11-23T01:30:19.7233285Z  
2022-11-23T01:30:19.7233610Z [2022-11-23 01:23:35,134] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7233720Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_145)
2022-11-23T01:30:19.7233899Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7233994Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7234059Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7234147Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7234254Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7234359Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7234451Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7234530Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.7234620Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.7234682Z              20 RETURN_VALUE
2022-11-23T01:30:19.7234687Z 
2022-11-23T01:30:19.7234749Z  
2022-11-23T01:30:19.7234933Z [2022-11-23 01:23:35,135] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7235005Z  - 
2022-11-23T01:30:19.7235125Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7235190Z             {
2022-11-23T01:30:19.7235331Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7235504Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7235623Z                 'obj_weakref': None
2022-11-23T01:30:19.7235850Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7235919Z             }
2022-11-23T01:30:19.7235984Z             
2022-11-23T01:30:19.7236054Z  - 
2022-11-23T01:30:19.7236182Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7236235Z             {
2022-11-23T01:30:19.7236376Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7236483Z                 'code': None,
2022-11-23T01:30:19.7236694Z                 'obj_weakref': <weakref at 0x7ff58fe04b30; to 'Tensor' at 0x7ff5a84e2390>
2022-11-23T01:30:19.7236947Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7237013Z             }
2022-11-23T01:30:19.7237076Z             
2022-11-23T01:30:19.7237132Z  - 
2022-11-23T01:30:19.7237254Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7237318Z             {
2022-11-23T01:30:19.7237455Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7237622Z                 'code': ['___check_obj_id(model, 140693071095952)'],
2022-11-23T01:30:19.7237847Z                 'obj_weakref': <weakref at 0x7ff58fe055d0; to 'Sequential' at 0x7ff5a8866890>
2022-11-23T01:30:19.7238110Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7238162Z             }
2022-11-23T01:30:19.7238224Z             
2022-11-23T01:30:19.7238291Z  - 
2022-11-23T01:30:19.7238412Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7238473Z             {
2022-11-23T01:30:19.7238607Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7238824Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7238929Z                 'obj_weakref': None
2022-11-23T01:30:19.7239148Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7239209Z             }
2022-11-23T01:30:19.7239271Z             
2022-11-23T01:30:19.7239368Z  - 
2022-11-23T01:30:19.7239512Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7239572Z             {
2022-11-23T01:30:19.7239679Z                 'guard_types': None,
2022-11-23T01:30:19.7239788Z                 'code': None,
2022-11-23T01:30:19.7239903Z                 'obj_weakref': None
2022-11-23T01:30:19.7240023Z                 'guarded_class': None
2022-11-23T01:30:19.7240086Z             }
2022-11-23T01:30:19.7240146Z             
2022-11-23T01:30:19.7240213Z  - 
2022-11-23T01:30:19.7240343Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7240406Z             {
2022-11-23T01:30:19.7240522Z                 'guard_types': None,
2022-11-23T01:30:19.7240628Z                 'code': None,
2022-11-23T01:30:19.7240746Z                 'obj_weakref': None
2022-11-23T01:30:19.7240864Z                 'guarded_class': None
2022-11-23T01:30:19.7240926Z             }
2022-11-23T01:30:19.7240975Z             
2022-11-23T01:30:19.7241041Z  - 
2022-11-23T01:30:19.7241185Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:30:19.7241248Z             {
2022-11-23T01:30:19.7241364Z                 'guard_types': None,
2022-11-23T01:30:19.7241470Z                 'code': None,
2022-11-23T01:30:19.7241575Z                 'obj_weakref': None
2022-11-23T01:30:19.7241692Z                 'guarded_class': None
2022-11-23T01:30:19.7241753Z             }
2022-11-23T01:30:19.7241814Z             
2022-11-23T01:30:19.7242071Z [2022-11-23 01:23:35,159] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 144
2022-11-23T01:30:19.7242438Z [2022-11-23 01:23:36,641] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h6/ch6w4hfwr5hznuqo27x5c7nzacoetpmxdnua34kc7xtmwnz3pa3q.py
2022-11-23T01:30:19.7242699Z [2022-11-23 01:23:36,642] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 144
2022-11-23T01:30:19.7242705Z 
2022-11-23T01:30:19.7242796Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7242854Z import torch
2022-11-23T01:30:19.7242922Z import random
2022-11-23T01:30:19.7243034Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7243156Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7243161Z 
2022-11-23T01:30:19.7243237Z aten = torch.ops.aten
2022-11-23T01:30:19.7243369Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7243459Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7243464Z 
2022-11-23T01:30:19.7243469Z 
2022-11-23T01:30:19.7243599Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7243792Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7243909Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.7244004Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:30:19.7244063Z {
2022-11-23T01:30:19.7244159Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7244222Z     {
2022-11-23T01:30:19.7244296Z         #pragma omp for 
2022-11-23T01:30:19.7244368Z         for(long i0=0; i0<2352; i0+=1)
2022-11-23T01:30:19.7244430Z         {
2022-11-23T01:30:19.7244491Z             {
2022-11-23T01:30:19.7244582Z                 {
2022-11-23T01:30:19.7244679Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.7244770Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:30:19.7244871Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:30:19.7244949Z                     auto tmp3 = tmp1 <= tmp2;
2022-11-23T01:30:19.7245037Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.7245119Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.7245183Z                 }
2022-11-23T01:30:19.7245244Z             }
2022-11-23T01:30:19.7245306Z         }
2022-11-23T01:30:19.7245367Z     }
2022-11-23T01:30:19.7245415Z }
2022-11-23T01:30:19.7245491Z ''')
2022-11-23T01:30:19.7245496Z 
2022-11-23T01:30:19.7245501Z 
2022-11-23T01:30:19.7245620Z async_compile.wait(globals())
2022-11-23T01:30:19.7245691Z del async_compile
2022-11-23T01:30:19.7245695Z 
2022-11-23T01:30:19.7245763Z def call(args):
2022-11-23T01:30:19.7245863Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.7245932Z     args.clear()
2022-11-23T01:30:19.7246072Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:30:19.7246179Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T01:30:19.7246248Z     del primals_2
2022-11-23T01:30:19.7246368Z     buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0  # reuse
2022-11-23T01:30:19.7246579Z     buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.7246710Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.7246814Z     return (buf1, primals_1, primals_3, buf2, )
2022-11-23T01:30:19.7246819Z 
2022-11-23T01:30:19.7246824Z 
2022-11-23T01:30:19.7246900Z if __name__ == "__main__":
2022-11-23T01:30:19.7247000Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7247121Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7247332Z     primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7247531Z     primals_2 = rand_strided((6, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7247750Z     primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7247886Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.7247891Z 
2022-11-23T01:30:19.7247957Z ok (1.526s)
2022-11-23T01:30:19.7248266Z   test_convolution2_cpu (__main__.CpuTests) ... [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7248582Z [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7248787Z [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7249038Z [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7249313Z [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7249629Z [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7249972Z [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7250292Z [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7250695Z [2022-11-23 01:23:36,648] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d110b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1825> 
2022-11-23T01:30:19.7250791Z  1827           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7250894Z                2 LOAD_METHOD              1 (convolution)
2022-11-23T01:30:19.7250972Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.7251059Z                6 LOAD_FAST                1 (w)
2022-11-23T01:30:19.7251143Z                8 LOAD_FAST                2 (b)
2022-11-23T01:30:19.7251232Z               10 LOAD_CONST               1 (4)
2022-11-23T01:30:19.7251318Z               12 BUILD_LIST               1
2022-11-23T01:30:19.7251404Z               14 LOAD_CONST               2 (0)
2022-11-23T01:30:19.7251489Z               16 BUILD_LIST               1
2022-11-23T01:30:19.7251574Z               18 LOAD_CONST               3 (1)
2022-11-23T01:30:19.7251689Z               20 BUILD_LIST               1
2022-11-23T01:30:19.7251780Z               22 LOAD_CONST               4 (True)
2022-11-23T01:30:19.7251866Z               24 LOAD_CONST               2 (0)
2022-11-23T01:30:19.7251950Z               26 BUILD_LIST               1
2022-11-23T01:30:19.7252035Z               28 LOAD_CONST               3 (1)
2022-11-23T01:30:19.7252120Z               30 CALL_METHOD              9
2022-11-23T01:30:19.7252204Z               32 BUILD_TUPLE              1
2022-11-23T01:30:19.7252268Z               34 RETURN_VALUE
2022-11-23T01:30:19.7252327Z  
2022-11-23T01:30:19.7252332Z 
2022-11-23T01:30:19.7252644Z [2022-11-23 01:23:36,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1827
2022-11-23T01:30:19.7252858Z [2022-11-23 01:23:36,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7253171Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7253437Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.convolution)]
2022-11-23T01:30:19.7253724Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:30:19.7254041Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7254386Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7254768Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7255122Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.7255535Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7255922Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.7256352Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7256983Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:19.7257499Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.7257997Z [2022-11-23 01:23:36,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:30:19.7258488Z [2022-11-23 01:23:36,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:30:19.7259062Z [2022-11-23 01:23:36,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7259304Z [2022-11-23 01:23:36,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.7259551Z [2022-11-23 01:23:36,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7259929Z [2022-11-23 01:23:36,657] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d110b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1825>
2022-11-23T01:30:19.7260172Z [2022-11-23 01:23:36,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7260402Z [2022-11-23 01:23:36,657] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7260646Z [2022-11-23 01:23:36,658] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7260892Z [2022-11-23 01:23:36,662] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7261080Z [2022-11-23 01:23:36,662] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7261212Z  __compiled_fn_146 <eval_with_key>.1335 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7261300Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7261385Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7261468Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.7261622Z call_function, convolution, aten.convolution, (ex_0_, ex_1_, ex_2_, [4], [0], [1], True, [0], 1), {}
2022-11-23T01:30:19.7261718Z output, output, output, ((convolution,),), {}
2022-11-23T01:30:19.7261734Z 
2022-11-23T01:30:19.7262045Z [2022-11-23 01:23:36,663] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7262143Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7262231Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7262316Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7262408Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7262490Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7262576Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7262639Z              12 RETURN_VALUE
2022-11-23T01:30:19.7262644Z 
2022-11-23T01:30:19.7262703Z  
2022-11-23T01:30:19.7263024Z [2022-11-23 01:23:36,663] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7263131Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_146)
2022-11-23T01:30:19.7263222Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7263309Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7263385Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7263503Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7263579Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7263654Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7263739Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7263824Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7263898Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.7263984Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.7264086Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7264174Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7264260Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7264333Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7264446Z              30 BUILD_TUPLE              1
2022-11-23T01:30:19.7264520Z              32 RETURN_VALUE
2022-11-23T01:30:19.7264525Z 
2022-11-23T01:30:19.7264584Z  
2022-11-23T01:30:19.7264767Z [2022-11-23 01:23:36,663] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7264824Z  - 
2022-11-23T01:30:19.7264941Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7265005Z             {
2022-11-23T01:30:19.7265144Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7265328Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.7265445Z                 'obj_weakref': None
2022-11-23T01:30:19.7265670Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7265722Z             }
2022-11-23T01:30:19.7265783Z             
2022-11-23T01:30:19.7265852Z  - 
2022-11-23T01:30:19.7265975Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7266037Z             {
2022-11-23T01:30:19.7266178Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7266284Z                 'code': None,
2022-11-23T01:30:19.7266485Z                 'obj_weakref': <weakref at 0x7ff58fe04cc0; to 'Tensor' at 0x7ff5a80704f0>
2022-11-23T01:30:19.7266736Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7266798Z             }
2022-11-23T01:30:19.7266858Z             
2022-11-23T01:30:19.7266926Z  - 
2022-11-23T01:30:19.7267046Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7267106Z             {
2022-11-23T01:30:19.7267236Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7267339Z                 'code': None,
2022-11-23T01:30:19.7267546Z                 'obj_weakref': <weakref at 0x7ff58fda5350; to 'Tensor' at 0x7ff5a81bb240>
2022-11-23T01:30:19.7267798Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7267864Z             }
2022-11-23T01:30:19.7267926Z             
2022-11-23T01:30:19.7267992Z  - 
2022-11-23T01:30:19.7268101Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.7268164Z             {
2022-11-23T01:30:19.7268304Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7268409Z                 'code': None,
2022-11-23T01:30:19.7268617Z                 'obj_weakref': <weakref at 0x7ff59c13aa70; to 'Tensor' at 0x7ff5a81bb7e0>
2022-11-23T01:30:19.7268868Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7268930Z             }
2022-11-23T01:30:19.7268980Z             
2022-11-23T01:30:19.7269046Z  - 
2022-11-23T01:30:19.7269176Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7269239Z             {
2022-11-23T01:30:19.7269372Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7269537Z                 'code': ['___check_obj_id(model, 140692659478752)'],
2022-11-23T01:30:19.7269657Z                 'obj_weakref': None
2022-11-23T01:30:19.7269874Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7269980Z             }
2022-11-23T01:30:19.7270044Z             
2022-11-23T01:30:19.7270112Z  - 
2022-11-23T01:30:19.7270232Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7270294Z             {
2022-11-23T01:30:19.7270428Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7270632Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7270747Z                 'obj_weakref': None
2022-11-23T01:30:19.7270965Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7271028Z             }
2022-11-23T01:30:19.7271093Z             
2022-11-23T01:30:19.7271158Z  - 
2022-11-23T01:30:19.7271288Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7271367Z             {
2022-11-23T01:30:19.7271487Z                 'guard_types': None,
2022-11-23T01:30:19.7271611Z                 'code': None,
2022-11-23T01:30:19.7271781Z                 'obj_weakref': None
2022-11-23T01:30:19.7271919Z                 'guarded_class': None
2022-11-23T01:30:19.7271982Z             }
2022-11-23T01:30:19.7272047Z             
2022-11-23T01:30:19.7272295Z [2022-11-23 01:23:36,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 145
2022-11-23T01:30:19.7272668Z [2022-11-23 01:23:36,673] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/an/can4luaqoribuwvqliywjj22mjwxxrd634ntqyssizp6uqsgxutc.py
2022-11-23T01:30:19.7272931Z [2022-11-23 01:23:36,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 145
2022-11-23T01:30:19.7272937Z 
2022-11-23T01:30:19.7273034Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7273107Z import torch
2022-11-23T01:30:19.7273178Z import random
2022-11-23T01:30:19.7273296Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7273418Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7273423Z 
2022-11-23T01:30:19.7273490Z aten = torch.ops.aten
2022-11-23T01:30:19.7273624Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7273718Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7273723Z 
2022-11-23T01:30:19.7273727Z 
2022-11-23T01:30:19.7273876Z async_compile.wait(globals())
2022-11-23T01:30:19.7273950Z del async_compile
2022-11-23T01:30:19.7273955Z 
2022-11-23T01:30:19.7274026Z def call(args):
2022-11-23T01:30:19.7274110Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.7274182Z     args.clear()
2022-11-23T01:30:19.7274300Z     buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (4,), (0,), (1,), True, (0,), 1)
2022-11-23T01:30:19.7274406Z     assert_size_stride(buf0, (2, 16, 364), (5824, 364, 1))
2022-11-23T01:30:19.7274476Z     del arg0_1
2022-11-23T01:30:19.7274548Z     del arg1_1
2022-11-23T01:30:19.7274614Z     del arg2_1
2022-11-23T01:30:19.7274688Z     return (buf0, )
2022-11-23T01:30:19.7274693Z 
2022-11-23T01:30:19.7274697Z 
2022-11-23T01:30:19.7274775Z if __name__ == "__main__":
2022-11-23T01:30:19.7274876Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7274998Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7275213Z     arg0_1 = rand_strided((2, 32, 90), (2880, 90, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7275421Z     arg1_1 = rand_strided((32, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7275614Z     arg2_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7275739Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.7275744Z 
2022-11-23T01:30:19.7275812Z ok (0.032s)
2022-11-23T01:30:19.7276108Z   test_cos_cpu (__main__.CpuTests) ... [2022-11-23 01:23:36,678] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7276470Z [2022-11-23 01:23:36,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7276677Z [2022-11-23 01:23:36,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7276933Z [2022-11-23 01:23:36,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7277211Z [2022-11-23 01:23:36,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7277534Z [2022-11-23 01:23:36,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7277881Z [2022-11-23 01:23:36,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7278236Z [2022-11-23 01:23:36,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7278615Z [2022-11-23 01:23:36,679] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d112a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134> 
2022-11-23T01:30:19.7278712Z  2135           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7278806Z                2 LOAD_METHOD              1 (cos)
2022-11-23T01:30:19.7278885Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.7278976Z                6 CALL_METHOD              1
2022-11-23T01:30:19.7279066Z                8 LOAD_CONST               1 (2)
2022-11-23T01:30:19.7279143Z               10 BINARY_ADD
2022-11-23T01:30:19.7279238Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7279329Z               14 LOAD_METHOD              1 (cos)
2022-11-23T01:30:19.7279420Z               16 LOAD_FAST                0 (x)
2022-11-23T01:30:19.7279496Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7279571Z               20 BINARY_ADD
2022-11-23T01:30:19.7279664Z               22 CALL_METHOD              1
2022-11-23T01:30:19.7279750Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.7279827Z               26 RETURN_VALUE
2022-11-23T01:30:19.7279889Z  
2022-11-23T01:30:19.7279894Z 
2022-11-23T01:30:19.7280209Z [2022-11-23 01:23:36,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2135
2022-11-23T01:30:19.7280423Z [2022-11-23 01:23:36,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7280714Z [2022-11-23 01:23:36,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7280958Z [2022-11-23 01:23:36,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.cos)]
2022-11-23T01:30:19.7281239Z [2022-11-23 01:23:36,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:30:19.7281477Z [2022-11-23 01:23:36,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.7281756Z [2022-11-23 01:23:36,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7281997Z [2022-11-23 01:23:36,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7282321Z [2022-11-23 01:23:36,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7282597Z [2022-11-23 01:23:36,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:30:19.7282900Z [2022-11-23 01:23:36,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:30:19.7283276Z [2022-11-23 01:23:36,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7283585Z [2022-11-23 01:23:36,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:30:19.7283842Z [2022-11-23 01:23:36,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7284085Z [2022-11-23 01:23:36,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7284464Z [2022-11-23 01:23:36,694] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d112a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2134>
2022-11-23T01:30:19.7284735Z [2022-11-23 01:23:36,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7284967Z [2022-11-23 01:23:36,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7285219Z [2022-11-23 01:23:36,696] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7285467Z [2022-11-23 01:23:36,700] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7285656Z [2022-11-23 01:23:36,700] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7285787Z  __compiled_fn_147 <eval_with_key>.1341 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7285863Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7285962Z call_function, cos, aten.cos, (ex_0_,), {}
2022-11-23T01:30:19.7286130Z call_function, add, <built-in function add>, (cos, 2), {}
2022-11-23T01:30:19.7286301Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.7286406Z call_function, cos_1, aten.cos, (add_1,), {}
2022-11-23T01:30:19.7286506Z output, output, output, ((add, cos_1),), {}
2022-11-23T01:30:19.7286513Z 
2022-11-23T01:30:19.7286836Z [2022-11-23 01:23:36,701] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7286928Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7287004Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7287088Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7287180Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7287263Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7287350Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7287424Z              12 RETURN_VALUE
2022-11-23T01:30:19.7287429Z 
2022-11-23T01:30:19.7287488Z  
2022-11-23T01:30:19.7287797Z [2022-11-23 01:23:36,701] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7287907Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_147)
2022-11-23T01:30:19.7287995Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7288083Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7288159Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7288246Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7288346Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7288446Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7288521Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7288596Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.7288695Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7288783Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7288860Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7288945Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.7289018Z              26 RETURN_VALUE
2022-11-23T01:30:19.7289023Z 
2022-11-23T01:30:19.7289097Z  
2022-11-23T01:30:19.7289280Z [2022-11-23 01:23:36,701] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7289349Z  - 
2022-11-23T01:30:19.7289466Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7289529Z             {
2022-11-23T01:30:19.7289667Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7289851Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7289958Z                 'obj_weakref': None
2022-11-23T01:30:19.7290181Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7290244Z             }
2022-11-23T01:30:19.7290306Z             
2022-11-23T01:30:19.7290373Z  - 
2022-11-23T01:30:19.7290498Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7290594Z             {
2022-11-23T01:30:19.7290724Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7290829Z                 'code': None,
2022-11-23T01:30:19.7291041Z                 'obj_weakref': <weakref at 0x7ff58fd28b80; to 'Tensor' at 0x7ff5a81bb7e0>
2022-11-23T01:30:19.7291291Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7291354Z             }
2022-11-23T01:30:19.7291416Z             
2022-11-23T01:30:19.7291483Z  - 
2022-11-23T01:30:19.7291601Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7291662Z             {
2022-11-23T01:30:19.7291796Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7291963Z                 'code': ['___check_obj_id(model, 140693063588816)'],
2022-11-23T01:30:19.7292079Z                 'obj_weakref': None
2022-11-23T01:30:19.7292308Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7292373Z             }
2022-11-23T01:30:19.7292424Z             
2022-11-23T01:30:19.7292492Z  - 
2022-11-23T01:30:19.7292614Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7292676Z             {
2022-11-23T01:30:19.7292810Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7293024Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7293139Z                 'obj_weakref': None
2022-11-23T01:30:19.7293346Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7293407Z             }
2022-11-23T01:30:19.7293468Z             
2022-11-23T01:30:19.7293534Z  - 
2022-11-23T01:30:19.7293663Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7293725Z             {
2022-11-23T01:30:19.7293842Z                 'guard_types': None,
2022-11-23T01:30:19.7293935Z                 'code': None,
2022-11-23T01:30:19.7294052Z                 'obj_weakref': None
2022-11-23T01:30:19.7294172Z                 'guarded_class': None
2022-11-23T01:30:19.7294233Z             }
2022-11-23T01:30:19.7294293Z             
2022-11-23T01:30:19.7294553Z [2022-11-23 01:23:36,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 146
2022-11-23T01:30:19.7294917Z [2022-11-23 01:23:38,146] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jl/cjle5eogb4qk2upe75qyr7li6a3srlxgim7qoyggmvjkst6idfgv.py
2022-11-23T01:30:19.7295167Z [2022-11-23 01:23:38,147] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 146
2022-11-23T01:30:19.7295184Z 
2022-11-23T01:30:19.7295264Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7295331Z import torch
2022-11-23T01:30:19.7295400Z import random
2022-11-23T01:30:19.7295513Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7295631Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7295639Z 
2022-11-23T01:30:19.7295715Z aten = torch.ops.aten
2022-11-23T01:30:19.7295850Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7295959Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7295964Z 
2022-11-23T01:30:19.7295980Z 
2022-11-23T01:30:19.7296101Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7296302Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7296581Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7296701Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7296797Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.7296857Z {
2022-11-23T01:30:19.7296955Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7297005Z     {
2022-11-23T01:30:19.7297082Z         #pragma omp for 
2022-11-23T01:30:19.7297164Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.7297228Z         {
2022-11-23T01:30:19.7297441Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.7297527Z             auto tmp1 = tmp0.cos();
2022-11-23T01:30:19.7297661Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.7297734Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.7297861Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.7297944Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:19.7298026Z             auto tmp6 = tmp5.cos();
2022-11-23T01:30:19.7298121Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.7298210Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.7298275Z         }
2022-11-23T01:30:19.7298356Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.7298438Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:19.7298501Z         {
2022-11-23T01:30:19.7298583Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7298674Z             auto tmp1 = std::cos(tmp0);
2022-11-23T01:30:19.7298770Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:30:19.7298851Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.7298937Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:30:19.7299019Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:19.7299106Z             auto tmp6 = std::cos(tmp5);
2022-11-23T01:30:19.7299187Z             out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.7299265Z             out_ptr1[i0] = tmp6;
2022-11-23T01:30:19.7299325Z         }
2022-11-23T01:30:19.7299384Z     }
2022-11-23T01:30:19.7299431Z }
2022-11-23T01:30:19.7299513Z ''')
2022-11-23T01:30:19.7299518Z 
2022-11-23T01:30:19.7299522Z 
2022-11-23T01:30:19.7299611Z async_compile.wait(globals())
2022-11-23T01:30:19.7299682Z del async_compile
2022-11-23T01:30:19.7299687Z 
2022-11-23T01:30:19.7299756Z def call(args):
2022-11-23T01:30:19.7299824Z     arg0_1, = args
2022-11-23T01:30:19.7299895Z     args.clear()
2022-11-23T01:30:19.7300083Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7300280Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7300445Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.7300513Z     del arg0_1
2022-11-23T01:30:19.7300589Z     return (buf0, buf1, )
2022-11-23T01:30:19.7300594Z 
2022-11-23T01:30:19.7300599Z 
2022-11-23T01:30:19.7300673Z if __name__ == "__main__":
2022-11-23T01:30:19.7300784Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7300904Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7301090Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7301195Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.7301200Z 
2022-11-23T01:30:19.7301265Z ok (1.473s)
2022-11-23T01:30:19.7301399Z   test_cudnn_rnn_cpu (__main__.CpuTests) ... skip: requires CUDA (0.002s)
2022-11-23T01:30:19.7301604Z   test_dense_mask_index_cpu (__main__.CpuTests) ... skip: https://github.com/pytorch/torchdynamo/issues/1697 (0.001s)
2022-11-23T01:30:19.7301945Z   test_div1_cpu (__main__.CpuTests) ... [2022-11-23 01:23:38,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7302261Z [2022-11-23 01:23:38,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7302475Z [2022-11-23 01:23:38,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7302725Z [2022-11-23 01:23:38,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7302987Z [2022-11-23 01:23:38,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7303304Z [2022-11-23 01:23:38,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7303680Z [2022-11-23 01:23:38,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7304000Z [2022-11-23 01:23:38,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7304373Z [2022-11-23 01:23:38,156] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d168660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061> 
2022-11-23T01:30:19.7304469Z  1063           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7304559Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7304648Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7304735Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7304819Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7304980Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7305073Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7305079Z 
2022-11-23T01:30:19.7305168Z 1064          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7305255Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7305341Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7305427Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7305568Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7305716Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7305806Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7305811Z 
2022-11-23T01:30:19.7305902Z 1065          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7305992Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7306082Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7306169Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7306312Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7306459Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7306549Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7306554Z 
2022-11-23T01:30:19.7306638Z 1066          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7306726Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7306808Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7306813Z 
2022-11-23T01:30:19.7306898Z 1067          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7306983Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7307067Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7307072Z 
2022-11-23T01:30:19.7307147Z 1062          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7307223Z               56 RETURN_VALUE
2022-11-23T01:30:19.7307282Z  
2022-11-23T01:30:19.7307287Z 
2022-11-23T01:30:19.7307637Z [2022-11-23 01:23:38,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1063
2022-11-23T01:30:19.7307853Z [2022-11-23 01:23:38,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7308157Z [2022-11-23 01:23:38,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7308404Z [2022-11-23 01:23:38,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7308679Z [2022-11-23 01:23:38,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7308985Z [2022-11-23 01:23:38,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7309393Z [2022-11-23 01:23:38,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7309782Z [2022-11-23 01:23:38,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7310094Z [2022-11-23 01:23:38,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1064
2022-11-23T01:30:19.7310335Z [2022-11-23 01:23:38,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7310663Z [2022-11-23 01:23:38,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7310936Z [2022-11-23 01:23:38,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7311239Z [2022-11-23 01:23:38,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7311574Z [2022-11-23 01:23:38,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7311968Z [2022-11-23 01:23:38,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7312390Z [2022-11-23 01:23:38,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7312702Z [2022-11-23 01:23:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1065
2022-11-23T01:30:19.7312974Z [2022-11-23 01:23:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7313328Z [2022-11-23 01:23:38,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7313613Z [2022-11-23 01:23:38,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7314005Z [2022-11-23 01:23:38,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7314371Z [2022-11-23 01:23:38,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7314843Z [2022-11-23 01:23:38,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7315301Z [2022-11-23 01:23:38,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7315615Z [2022-11-23 01:23:38,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1066
2022-11-23T01:30:19.7315907Z [2022-11-23 01:23:38,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7316224Z [2022-11-23 01:23:38,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7316620Z [2022-11-23 01:23:38,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7316932Z [2022-11-23 01:23:38,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1067
2022-11-23T01:30:19.7317247Z [2022-11-23 01:23:38,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7317589Z [2022-11-23 01:23:38,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7317984Z [2022-11-23 01:23:38,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7318286Z [2022-11-23 01:23:38,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1062
2022-11-23T01:30:19.7318637Z [2022-11-23 01:23:38,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7318885Z [2022-11-23 01:23:38,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7319259Z [2022-11-23 01:23:38,186] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d168660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1061>
2022-11-23T01:30:19.7319504Z [2022-11-23 01:23:38,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7319738Z [2022-11-23 01:23:38,186] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7319999Z [2022-11-23 01:23:38,188] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7320253Z [2022-11-23 01:23:38,197] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7320440Z [2022-11-23 01:23:38,198] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7320576Z  __compiled_fn_148 <eval_with_key>.1347 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7320653Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7320741Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7320929Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7321120Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7321311Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7321505Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7321701Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7321899Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7321905Z 
2022-11-23T01:30:19.7322216Z [2022-11-23 01:23:38,198] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7322309Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7322401Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7322488Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7322581Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7322667Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7322757Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7322820Z              12 RETURN_VALUE
2022-11-23T01:30:19.7322866Z 
2022-11-23T01:30:19.7322914Z  
2022-11-23T01:30:19.7323243Z [2022-11-23 01:23:38,198] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7323352Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_148)
2022-11-23T01:30:19.7323443Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7323533Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7323612Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7323701Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7323777Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7323852Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7323942Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7324048Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7324150Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7324243Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7324320Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7324407Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7324496Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7324573Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7324675Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7324764Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7324841Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7324947Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7325021Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7325097Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7325197Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7325285Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7325361Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7325448Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7325525Z              50 RETURN_VALUE
2022-11-23T01:30:19.7325530Z 
2022-11-23T01:30:19.7325592Z  
2022-11-23T01:30:19.7325765Z [2022-11-23 01:23:38,199] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7325834Z  - 
2022-11-23T01:30:19.7325952Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7326016Z             {
2022-11-23T01:30:19.7326158Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7326346Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7326463Z                 'obj_weakref': None
2022-11-23T01:30:19.7326677Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7326739Z             }
2022-11-23T01:30:19.7326802Z             
2022-11-23T01:30:19.7326869Z  - 
2022-11-23T01:30:19.7326991Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7327052Z             {
2022-11-23T01:30:19.7327185Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7327289Z                 'code': None,
2022-11-23T01:30:19.7327527Z                 'obj_weakref': <weakref at 0x7ff6383f43b0; to 'Tensor' at 0x7ff58ff00360>
2022-11-23T01:30:19.7327781Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7327843Z             }
2022-11-23T01:30:19.7327908Z             
2022-11-23T01:30:19.7327977Z  - 
2022-11-23T01:30:19.7328099Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7328148Z             {
2022-11-23T01:30:19.7328288Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7328393Z                 'code': None,
2022-11-23T01:30:19.7328601Z                 'obj_weakref': <weakref at 0x7ff6383f47c0; to 'Tensor' at 0x7ff59c1ee6b0>
2022-11-23T01:30:19.7328852Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7328944Z             }
2022-11-23T01:30:19.7329005Z             
2022-11-23T01:30:19.7329061Z  - 
2022-11-23T01:30:19.7329190Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7329253Z             {
2022-11-23T01:30:19.7329387Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7329555Z                 'code': ['___check_obj_id(model, 140692658418544)'],
2022-11-23T01:30:19.7329671Z                 'obj_weakref': None
2022-11-23T01:30:19.7329898Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7329948Z             }
2022-11-23T01:30:19.7330008Z             
2022-11-23T01:30:19.7330077Z  - 
2022-11-23T01:30:19.7330196Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7330259Z             {
2022-11-23T01:30:19.7330392Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7330609Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7330717Z                 'obj_weakref': None
2022-11-23T01:30:19.7330932Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7330995Z             }
2022-11-23T01:30:19.7331059Z             
2022-11-23T01:30:19.7331126Z  - 
2022-11-23T01:30:19.7331255Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7331316Z             {
2022-11-23T01:30:19.7331423Z                 'guard_types': None,
2022-11-23T01:30:19.7331525Z                 'code': None,
2022-11-23T01:30:19.7331640Z                 'obj_weakref': None
2022-11-23T01:30:19.7331758Z                 'guarded_class': None
2022-11-23T01:30:19.7331821Z             }
2022-11-23T01:30:19.7331881Z             
2022-11-23T01:30:19.7332126Z [2022-11-23 01:23:38,212] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 147
2022-11-23T01:30:19.7332498Z [2022-11-23 01:23:39,709] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cfljbodpxbcownmyuuwmot2twvb2ptwpsw44bzzge5ipfio4fqrh.py
2022-11-23T01:30:19.7332762Z [2022-11-23 01:23:39,710] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 147
2022-11-23T01:30:19.7332769Z 
2022-11-23T01:30:19.7332862Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7332929Z import torch
2022-11-23T01:30:19.7332996Z import random
2022-11-23T01:30:19.7333108Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7333226Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7333232Z 
2022-11-23T01:30:19.7333307Z aten = torch.ops.aten
2022-11-23T01:30:19.7333428Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7333519Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7333524Z 
2022-11-23T01:30:19.7333528Z 
2022-11-23T01:30:19.7333661Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7333862Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7333983Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7334084Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7334211Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7334308Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.7334389Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.7334481Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7334570Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:19.7334630Z {
2022-11-23T01:30:19.7334726Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7334787Z     {
2022-11-23T01:30:19.7334851Z         #pragma omp for 
2022-11-23T01:30:19.7334931Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.7334994Z         {
2022-11-23T01:30:19.7335132Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.7335292Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.7335375Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7335461Z             auto tmp3 = tmp2.floor();
2022-11-23T01:30:19.7335543Z             auto tmp4 = tmp2.trunc();
2022-11-23T01:30:19.7335622Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.7335709Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.7335794Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.7335879Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T01:30:19.7335964Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T01:30:19.7336024Z         }
2022-11-23T01:30:19.7336114Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.7336183Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.7336243Z         {
2022-11-23T01:30:19.7336326Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7336554Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.7336650Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7336746Z             auto tmp3 = std::floor(tmp2);
2022-11-23T01:30:19.7336838Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T01:30:19.7336908Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.7336986Z             out_ptr1[i0] = tmp3;
2022-11-23T01:30:19.7337065Z             out_ptr2[i0] = tmp4;
2022-11-23T01:30:19.7337143Z             out_ptr3[i0] = tmp2;
2022-11-23T01:30:19.7337219Z             out_ptr4[i0] = tmp3;
2022-11-23T01:30:19.7337279Z         }
2022-11-23T01:30:19.7337328Z     }
2022-11-23T01:30:19.7337388Z }
2022-11-23T01:30:19.7337471Z ''')
2022-11-23T01:30:19.7337476Z 
2022-11-23T01:30:19.7337480Z 
2022-11-23T01:30:19.7337569Z async_compile.wait(globals())
2022-11-23T01:30:19.7337640Z del async_compile
2022-11-23T01:30:19.7337645Z 
2022-11-23T01:30:19.7337715Z def call(args):
2022-11-23T01:30:19.7337789Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7337858Z     args.clear()
2022-11-23T01:30:19.7338067Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7338288Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7338479Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7338665Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7338848Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7339105Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7339172Z     del arg0_1
2022-11-23T01:30:19.7339238Z     del arg1_1
2022-11-23T01:30:19.7339322Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7339327Z 
2022-11-23T01:30:19.7339332Z 
2022-11-23T01:30:19.7339407Z if __name__ == "__main__":
2022-11-23T01:30:19.7339522Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7339647Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7339895Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7340088Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7340199Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7340205Z 
2022-11-23T01:30:19.7340271Z ok (1.559s)
2022-11-23T01:30:19.7340559Z   test_div2_cpu (__main__.CpuTests) ... [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7340877Z [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7341093Z [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7341348Z [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7341669Z [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7341989Z [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7342334Z [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7342654Z [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7343027Z [2022-11-23 01:23:39,716] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1687c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073> 
2022-11-23T01:30:19.7343125Z  1075           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7343204Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7343295Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7343383Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7343474Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7343633Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7343725Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7343730Z 
2022-11-23T01:30:19.7343823Z 1076          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7343911Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7343986Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7344072Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7344213Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7344373Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7344465Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7344471Z 
2022-11-23T01:30:19.7344566Z 1077          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7344652Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7344728Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7344814Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7344954Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7345111Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7345200Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7345204Z 
2022-11-23T01:30:19.7345288Z 1078          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7345374Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7345457Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7345462Z 
2022-11-23T01:30:19.7345535Z 1079          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7345622Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7345705Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7345738Z 
2022-11-23T01:30:19.7345827Z 1074          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7345901Z               56 RETURN_VALUE
2022-11-23T01:30:19.7345961Z  
2022-11-23T01:30:19.7345966Z 
2022-11-23T01:30:19.7346281Z [2022-11-23 01:23:39,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1075
2022-11-23T01:30:19.7346495Z [2022-11-23 01:23:39,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7346785Z [2022-11-23 01:23:39,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7347035Z [2022-11-23 01:23:39,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7347336Z [2022-11-23 01:23:39,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7347644Z [2022-11-23 01:23:39,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7348018Z [2022-11-23 01:23:39,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7348417Z [2022-11-23 01:23:39,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7348727Z [2022-11-23 01:23:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1076
2022-11-23T01:30:19.7348968Z [2022-11-23 01:23:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7349327Z [2022-11-23 01:23:39,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7349641Z [2022-11-23 01:23:39,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7349942Z [2022-11-23 01:23:39,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7350266Z [2022-11-23 01:23:39,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7350658Z [2022-11-23 01:23:39,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7351083Z [2022-11-23 01:23:39,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7351395Z [2022-11-23 01:23:39,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1077
2022-11-23T01:30:19.7351660Z [2022-11-23 01:23:39,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7352014Z [2022-11-23 01:23:39,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7352313Z [2022-11-23 01:23:39,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7352642Z [2022-11-23 01:23:39,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7353037Z [2022-11-23 01:23:39,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7353458Z [2022-11-23 01:23:39,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7353979Z [2022-11-23 01:23:39,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7354294Z [2022-11-23 01:23:39,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1078
2022-11-23T01:30:19.7354619Z [2022-11-23 01:23:39,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7354936Z [2022-11-23 01:23:39,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7355286Z [2022-11-23 01:23:39,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7355595Z [2022-11-23 01:23:39,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1079
2022-11-23T01:30:19.7355912Z [2022-11-23 01:23:39,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7356259Z [2022-11-23 01:23:39,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7356657Z [2022-11-23 01:23:39,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7356966Z [2022-11-23 01:23:39,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1074
2022-11-23T01:30:19.7357318Z [2022-11-23 01:23:39,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7357565Z [2022-11-23 01:23:39,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7357943Z [2022-11-23 01:23:39,746] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1687c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1073>
2022-11-23T01:30:19.7358189Z [2022-11-23 01:23:39,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7358421Z [2022-11-23 01:23:39,747] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7358660Z [2022-11-23 01:23:39,748] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7358905Z [2022-11-23 01:23:39,758] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7359089Z [2022-11-23 01:23:39,758] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7359222Z  __compiled_fn_149 <eval_with_key>.1353 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7359312Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7359397Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7359585Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7359773Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7359989Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7360182Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7360375Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7360505Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7360511Z 
2022-11-23T01:30:19.7360835Z [2022-11-23 01:23:39,759] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7360928Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7361017Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7361102Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7361209Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7361292Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7361380Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7361454Z              12 RETURN_VALUE
2022-11-23T01:30:19.7361460Z 
2022-11-23T01:30:19.7361523Z  
2022-11-23T01:30:19.7361847Z [2022-11-23 01:23:39,759] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7361954Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_149)
2022-11-23T01:30:19.7362043Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7362119Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7362195Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7362284Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7362371Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7362449Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7362536Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7362636Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7362724Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7362811Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7362888Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7362989Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7363078Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7363155Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7363254Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7363330Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7363407Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7363510Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7363599Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7363679Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7363778Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7363869Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7363945Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7364020Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7364096Z              50 RETURN_VALUE
2022-11-23T01:30:19.7364102Z 
2022-11-23T01:30:19.7364164Z  
2022-11-23T01:30:19.7364350Z [2022-11-23 01:23:39,760] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7364422Z  - 
2022-11-23T01:30:19.7364542Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7364610Z             {
2022-11-23T01:30:19.7364739Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7364925Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7365047Z                 'obj_weakref': None
2022-11-23T01:30:19.7365271Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7365339Z             }
2022-11-23T01:30:19.7365404Z             
2022-11-23T01:30:19.7365475Z  - 
2022-11-23T01:30:19.7365613Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7365679Z             {
2022-11-23T01:30:19.7365823Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7365931Z                 'code': None,
2022-11-23T01:30:19.7366147Z                 'obj_weakref': <weakref at 0x7ff58ff1fdd0; to 'Tensor' at 0x7ff5a87f3ab0>
2022-11-23T01:30:19.7366399Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7366464Z             }
2022-11-23T01:30:19.7366516Z             
2022-11-23T01:30:19.7366586Z  - 
2022-11-23T01:30:19.7366710Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7366774Z             {
2022-11-23T01:30:19.7366919Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7367056Z                 'code': None,
2022-11-23T01:30:19.7367268Z                 'obj_weakref': <weakref at 0x7ff58ff1fe20; to 'Tensor' at 0x7ff5a8306e80>
2022-11-23T01:30:19.7367511Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7367576Z             }
2022-11-23T01:30:19.7367640Z             
2022-11-23T01:30:19.7367709Z  - 
2022-11-23T01:30:19.7367841Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7367905Z             {
2022-11-23T01:30:19.7368041Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7368197Z                 'code': ['___check_obj_id(model, 140693063590688)'],
2022-11-23T01:30:19.7368315Z                 'obj_weakref': None
2022-11-23T01:30:19.7368544Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7368607Z             }
2022-11-23T01:30:19.7368670Z             
2022-11-23T01:30:19.7368744Z  - 
2022-11-23T01:30:19.7368863Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7368915Z             {
2022-11-23T01:30:19.7369049Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7369265Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7369382Z                 'obj_weakref': None
2022-11-23T01:30:19.7369600Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7369662Z             }
2022-11-23T01:30:19.7369723Z             
2022-11-23T01:30:19.7369779Z  - 
2022-11-23T01:30:19.7369906Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7369968Z             {
2022-11-23T01:30:19.7370084Z                 'guard_types': None,
2022-11-23T01:30:19.7370189Z                 'code': None,
2022-11-23T01:30:19.7370303Z                 'obj_weakref': None
2022-11-23T01:30:19.7370411Z                 'guarded_class': None
2022-11-23T01:30:19.7370474Z             }
2022-11-23T01:30:19.7370535Z             
2022-11-23T01:30:19.7370792Z [2022-11-23 01:23:39,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 148
2022-11-23T01:30:19.7371163Z [2022-11-23 01:23:41,190] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i6/ci6sgbsziavvyguy6hynlquskvjwcpmrbxm5c5or7ojvce5roaya.py
2022-11-23T01:30:19.7371426Z [2022-11-23 01:23:41,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 148
2022-11-23T01:30:19.7371432Z 
2022-11-23T01:30:19.7371523Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7371592Z import torch
2022-11-23T01:30:19.7371649Z import random
2022-11-23T01:30:19.7371761Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7371880Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7371886Z 
2022-11-23T01:30:19.7371963Z aten = torch.ops.aten
2022-11-23T01:30:19.7372094Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7372186Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7372191Z 
2022-11-23T01:30:19.7372196Z 
2022-11-23T01:30:19.7372366Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7372645Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7372753Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7372857Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7372954Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7373049Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.7373142Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.7373233Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7373327Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:19.7373386Z {
2022-11-23T01:30:19.7373471Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7373560Z     {
2022-11-23T01:30:19.7373638Z         #pragma omp for 
2022-11-23T01:30:19.7373720Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.7373786Z         {
2022-11-23T01:30:19.7373851Z             {
2022-11-23T01:30:19.7373902Z                 {
2022-11-23T01:30:19.7373993Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7374083Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:19.7374192Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7374281Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:19.7374387Z                     auto tmp4 = std::floor(tmp3);
2022-11-23T01:30:19.7374484Z                     auto tmp5 = std::trunc(tmp3);
2022-11-23T01:30:19.7374556Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.7374637Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:30:19.7374717Z                     out_ptr2[i0] = tmp5;
2022-11-23T01:30:19.7374799Z                     out_ptr3[i0] = tmp3;
2022-11-23T01:30:19.7374879Z                     out_ptr4[i0] = tmp4;
2022-11-23T01:30:19.7374942Z                 }
2022-11-23T01:30:19.7375003Z             }
2022-11-23T01:30:19.7375053Z         }
2022-11-23T01:30:19.7375115Z     }
2022-11-23T01:30:19.7375174Z }
2022-11-23T01:30:19.7375254Z ''')
2022-11-23T01:30:19.7375260Z 
2022-11-23T01:30:19.7375264Z 
2022-11-23T01:30:19.7375352Z async_compile.wait(globals())
2022-11-23T01:30:19.7375422Z del async_compile
2022-11-23T01:30:19.7375428Z 
2022-11-23T01:30:19.7375496Z def call(args):
2022-11-23T01:30:19.7375570Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7375629Z     args.clear()
2022-11-23T01:30:19.7375823Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7376015Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7376203Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7376387Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7376703Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7376967Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7377036Z     del arg0_1
2022-11-23T01:30:19.7377090Z     del arg1_1
2022-11-23T01:30:19.7377186Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7377192Z 
2022-11-23T01:30:19.7377196Z 
2022-11-23T01:30:19.7377273Z if __name__ == "__main__":
2022-11-23T01:30:19.7377385Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7377506Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7377696Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7377891Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7377997Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7378014Z 
2022-11-23T01:30:19.7378067Z ok (1.480s)
2022-11-23T01:30:19.7378418Z   test_div3_cpu (__main__.CpuTests) ... [2022-11-23 01:23:41,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7378738Z [2022-11-23 01:23:41,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7378957Z [2022-11-23 01:23:41,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7379209Z [2022-11-23 01:23:41,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7379487Z [2022-11-23 01:23:41,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7379806Z [2022-11-23 01:23:41,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7380191Z [2022-11-23 01:23:41,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7380518Z [2022-11-23 01:23:41,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7380892Z [2022-11-23 01:23:41,197] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d168920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085> 
2022-11-23T01:30:19.7380974Z  1087           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7381064Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7381154Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7381243Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7381338Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7381498Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7381592Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7381597Z 
2022-11-23T01:30:19.7381678Z 1088          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7381766Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7381852Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7381940Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7382083Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7382242Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7382333Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7382338Z 
2022-11-23T01:30:19.7382427Z 1089          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7382502Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7382591Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7382676Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7382820Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7382976Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7383064Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7383069Z 
2022-11-23T01:30:19.7383153Z 1090          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7383237Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7383306Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7383311Z 
2022-11-23T01:30:19.7383394Z 1091          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7383478Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7383560Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7383565Z 
2022-11-23T01:30:19.7383652Z 1086          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7383725Z               56 RETURN_VALUE
2022-11-23T01:30:19.7383788Z  
2022-11-23T01:30:19.7383793Z 
2022-11-23T01:30:19.7384136Z [2022-11-23 01:23:41,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1087
2022-11-23T01:30:19.7384342Z [2022-11-23 01:23:41,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7384646Z [2022-11-23 01:23:41,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7384896Z [2022-11-23 01:23:41,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7385168Z [2022-11-23 01:23:41,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7385478Z [2022-11-23 01:23:41,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7385886Z [2022-11-23 01:23:41,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7386285Z [2022-11-23 01:23:41,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7386596Z [2022-11-23 01:23:41,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1088
2022-11-23T01:30:19.7386839Z [2022-11-23 01:23:41,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7387168Z [2022-11-23 01:23:41,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7387439Z [2022-11-23 01:23:41,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7387730Z [2022-11-23 01:23:41,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7388066Z [2022-11-23 01:23:41,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7388456Z [2022-11-23 01:23:41,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7388877Z [2022-11-23 01:23:41,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7389190Z [2022-11-23 01:23:41,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1089
2022-11-23T01:30:19.7389462Z [2022-11-23 01:23:41,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7389816Z [2022-11-23 01:23:41,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7390112Z [2022-11-23 01:23:41,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7390442Z [2022-11-23 01:23:41,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7390807Z [2022-11-23 01:23:41,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7391263Z [2022-11-23 01:23:41,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7391718Z [2022-11-23 01:23:41,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7392030Z [2022-11-23 01:23:41,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1090
2022-11-23T01:30:19.7392307Z [2022-11-23 01:23:41,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7392625Z [2022-11-23 01:23:41,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7393017Z [2022-11-23 01:23:41,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7393326Z [2022-11-23 01:23:41,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1091
2022-11-23T01:30:19.7393640Z [2022-11-23 01:23:41,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7394066Z [2022-11-23 01:23:41,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7394462Z [2022-11-23 01:23:41,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7394775Z [2022-11-23 01:23:41,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1086
2022-11-23T01:30:19.7395131Z [2022-11-23 01:23:41,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7395376Z [2022-11-23 01:23:41,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7395754Z [2022-11-23 01:23:41,223] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d168920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1085>
2022-11-23T01:30:19.7395997Z [2022-11-23 01:23:41,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7396216Z [2022-11-23 01:23:41,223] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7396473Z [2022-11-23 01:23:41,224] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7396722Z [2022-11-23 01:23:41,231] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7396908Z [2022-11-23 01:23:41,232] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7397042Z  __compiled_fn_150 <eval_with_key>.1359 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7397132Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7397218Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7397402Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7397577Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7397762Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7397955Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7398149Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7398307Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7398314Z 
2022-11-23T01:30:19.7398638Z [2022-11-23 01:23:41,232] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7398729Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7398818Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7398892Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7398981Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7399064Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7399150Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7399225Z              12 RETURN_VALUE
2022-11-23T01:30:19.7399257Z 
2022-11-23T01:30:19.7399317Z  
2022-11-23T01:30:19.7399639Z [2022-11-23 01:23:41,232] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7399745Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_150)
2022-11-23T01:30:19.7399823Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7399910Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7399985Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7400072Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7400157Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7400230Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7400315Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7400405Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7400505Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7400593Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7400668Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7400769Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7400856Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7400928Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7401014Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7401098Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7401171Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7401269Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7401355Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7401427Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7401522Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7401596Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7401669Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7401756Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7401830Z              50 RETURN_VALUE
2022-11-23T01:30:19.7401835Z 
2022-11-23T01:30:19.7401895Z  
2022-11-23T01:30:19.7402075Z [2022-11-23 01:23:41,233] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7402143Z  - 
2022-11-23T01:30:19.7402250Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7402312Z             {
2022-11-23T01:30:19.7402453Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7402637Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7402755Z                 'obj_weakref': None
2022-11-23T01:30:19.7402976Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7403039Z             }
2022-11-23T01:30:19.7403102Z             
2022-11-23T01:30:19.7403158Z  - 
2022-11-23T01:30:19.7403279Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7403344Z             {
2022-11-23T01:30:19.7403486Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7403591Z                 'code': None,
2022-11-23T01:30:19.7403842Z                 'obj_weakref': <weakref at 0x7ff58fd29a30; to 'Tensor' at 0x7ff5a80f5670>
2022-11-23T01:30:19.7404094Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7404145Z             }
2022-11-23T01:30:19.7404206Z             
2022-11-23T01:30:19.7404274Z  - 
2022-11-23T01:30:19.7404395Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7404456Z             {
2022-11-23T01:30:19.7404597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7404690Z                 'code': None,
2022-11-23T01:30:19.7404901Z                 'obj_weakref': <weakref at 0x7ff58ff16660; to 'Tensor' at 0x7ff5a811e750>
2022-11-23T01:30:19.7405151Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7405245Z             }
2022-11-23T01:30:19.7405307Z             
2022-11-23T01:30:19.7405374Z  - 
2022-11-23T01:30:19.7405506Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7405558Z             {
2022-11-23T01:30:19.7405694Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7405863Z                 'code': ['___check_obj_id(model, 140692862618208)'],
2022-11-23T01:30:19.7405983Z                 'obj_weakref': None
2022-11-23T01:30:19.7406211Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7406276Z             }
2022-11-23T01:30:19.7406339Z             
2022-11-23T01:30:19.7406393Z  - 
2022-11-23T01:30:19.7406514Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7406578Z             {
2022-11-23T01:30:19.7406715Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7406933Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7407057Z                 'obj_weakref': None
2022-11-23T01:30:19.7407280Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7407348Z             }
2022-11-23T01:30:19.7407399Z             
2022-11-23T01:30:19.7407469Z  - 
2022-11-23T01:30:19.7407600Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7407664Z             {
2022-11-23T01:30:19.7407784Z                 'guard_types': None,
2022-11-23T01:30:19.7407892Z                 'code': None,
2022-11-23T01:30:19.7407996Z                 'obj_weakref': None
2022-11-23T01:30:19.7408117Z                 'guarded_class': None
2022-11-23T01:30:19.7408184Z             }
2022-11-23T01:30:19.7408249Z             
2022-11-23T01:30:19.7408509Z [2022-11-23 01:23:41,243] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 149
2022-11-23T01:30:19.7408877Z [2022-11-23 01:23:42,678] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czwhqllc3jgvj56whfw5b3whsmmsmxpwflronelgqlpk77smbg3v.py
2022-11-23T01:30:19.7409146Z [2022-11-23 01:23:42,678] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 149
2022-11-23T01:30:19.7409152Z 
2022-11-23T01:30:19.7409246Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7409304Z import torch
2022-11-23T01:30:19.7409378Z import random
2022-11-23T01:30:19.7409494Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7409616Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7409621Z 
2022-11-23T01:30:19.7409701Z aten = torch.ops.aten
2022-11-23T01:30:19.7409834Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7409929Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7409934Z 
2022-11-23T01:30:19.7409938Z 
2022-11-23T01:30:19.7410072Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7410262Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7410383Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7410487Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.7410618Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7410716Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.7410810Z                        long* __restrict__ out_ptr2,
2022-11-23T01:30:19.7410904Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7410984Z                        long* __restrict__ out_ptr4)
2022-11-23T01:30:19.7411045Z {
2022-11-23T01:30:19.7411144Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7411208Z     {
2022-11-23T01:30:19.7411287Z         #pragma omp for 
2022-11-23T01:30:19.7411371Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.7411436Z         {
2022-11-23T01:30:19.7411486Z             {
2022-11-23T01:30:19.7411548Z                 {
2022-11-23T01:30:19.7411642Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7411761Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:19.7411866Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7411974Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:30:19.7412065Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:30:19.7412303Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:30:19.7412396Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:30:19.7412483Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.7412568Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:30:19.7412649Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:30:19.7412728Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:30:19.7412807Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:30:19.7412859Z                 }
2022-11-23T01:30:19.7412920Z             }
2022-11-23T01:30:19.7412984Z         }
2022-11-23T01:30:19.7413045Z     }
2022-11-23T01:30:19.7413103Z }
2022-11-23T01:30:19.7413179Z ''')
2022-11-23T01:30:19.7413184Z 
2022-11-23T01:30:19.7413188Z 
2022-11-23T01:30:19.7413278Z async_compile.wait(globals())
2022-11-23T01:30:19.7413337Z del async_compile
2022-11-23T01:30:19.7413352Z 
2022-11-23T01:30:19.7413408Z def call(args):
2022-11-23T01:30:19.7413483Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7413552Z     args.clear()
2022-11-23T01:30:19.7413746Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7413935Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7414121Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7414307Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7414478Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7414738Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7414808Z     del arg0_1
2022-11-23T01:30:19.7414876Z     del arg1_1
2022-11-23T01:30:19.7414976Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7414981Z 
2022-11-23T01:30:19.7414986Z 
2022-11-23T01:30:19.7415053Z if __name__ == "__main__":
2022-11-23T01:30:19.7419650Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7419783Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7420009Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7420203Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7420321Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7420328Z 
2022-11-23T01:30:19.7420396Z ok (1.488s)
2022-11-23T01:30:19.7420712Z   test_div4_cpu (__main__.CpuTests) ... [2022-11-23 01:23:42,684] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7421116Z [2022-11-23 01:23:42,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7421338Z [2022-11-23 01:23:42,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7421594Z [2022-11-23 01:23:42,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7421870Z [2022-11-23 01:23:42,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7422191Z [2022-11-23 01:23:42,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7422540Z [2022-11-23 01:23:42,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7422948Z [2022-11-23 01:23:42,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7423328Z [2022-11-23 01:23:42,685] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d168a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098> 
2022-11-23T01:30:19.7423425Z  1100           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7423520Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7423598Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7423688Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7423781Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7423945Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7424042Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7424048Z 
2022-11-23T01:30:19.7424139Z 1101          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7424231Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7424323Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7424398Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7424542Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7424703Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7424796Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7424801Z 
2022-11-23T01:30:19.7424894Z 1102          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7424983Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7425071Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7425145Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7425291Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7425451Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7425546Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7425551Z 
2022-11-23T01:30:19.7425637Z 1103          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7425725Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7425807Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7425813Z 
2022-11-23T01:30:19.7425901Z 1104          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7425974Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7426059Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7426064Z 
2022-11-23T01:30:19.7426153Z 1099          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7426229Z               56 RETURN_VALUE
2022-11-23T01:30:19.7426290Z  
2022-11-23T01:30:19.7426295Z 
2022-11-23T01:30:19.7426615Z [2022-11-23 01:23:42,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1100
2022-11-23T01:30:19.7426864Z [2022-11-23 01:23:42,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7427171Z [2022-11-23 01:23:42,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7427422Z [2022-11-23 01:23:42,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7427684Z [2022-11-23 01:23:42,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7427996Z [2022-11-23 01:23:42,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7428367Z [2022-11-23 01:23:42,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7428805Z [2022-11-23 01:23:42,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7429116Z [2022-11-23 01:23:42,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1101
2022-11-23T01:30:19.7429362Z [2022-11-23 01:23:42,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7429692Z [2022-11-23 01:23:42,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7429963Z [2022-11-23 01:23:42,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7430265Z [2022-11-23 01:23:42,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7430606Z [2022-11-23 01:23:42,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7431003Z [2022-11-23 01:23:42,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7431426Z [2022-11-23 01:23:42,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7431725Z [2022-11-23 01:23:42,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1102
2022-11-23T01:30:19.7431997Z [2022-11-23 01:23:42,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7432358Z [2022-11-23 01:23:42,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7432659Z [2022-11-23 01:23:42,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7432986Z [2022-11-23 01:23:42,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7433351Z [2022-11-23 01:23:42,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7433773Z [2022-11-23 01:23:42,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7434348Z [2022-11-23 01:23:42,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7434663Z [2022-11-23 01:23:42,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1103
2022-11-23T01:30:19.7434956Z [2022-11-23 01:23:42,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7435270Z [2022-11-23 01:23:42,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7435634Z [2022-11-23 01:23:42,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7435972Z [2022-11-23 01:23:42,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1104
2022-11-23T01:30:19.7436290Z [2022-11-23 01:23:42,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7436635Z [2022-11-23 01:23:42,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7437029Z [2022-11-23 01:23:42,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7437340Z [2022-11-23 01:23:42,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1099
2022-11-23T01:30:19.7437692Z [2022-11-23 01:23:42,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7437938Z [2022-11-23 01:23:42,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7438318Z [2022-11-23 01:23:42,712] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d168a80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1098>
2022-11-23T01:30:19.7438564Z [2022-11-23 01:23:42,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7438798Z [2022-11-23 01:23:42,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7439055Z [2022-11-23 01:23:42,713] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7439307Z [2022-11-23 01:23:42,721] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7439486Z [2022-11-23 01:23:42,721] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7439620Z  __compiled_fn_151 <eval_with_key>.1365 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7439710Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7439796Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7439983Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7440173Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7440363Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7440540Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7440736Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7440869Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7440874Z 
2022-11-23T01:30:19.7441232Z [2022-11-23 01:23:42,721] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7441328Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7441420Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7441506Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7441598Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7441671Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7441760Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7441836Z              12 RETURN_VALUE
2022-11-23T01:30:19.7441842Z 
2022-11-23T01:30:19.7441903Z  
2022-11-23T01:30:19.7442225Z [2022-11-23 01:23:42,722] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7442363Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_151)
2022-11-23T01:30:19.7442455Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7442547Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7442614Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7442701Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7442787Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7442861Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7442950Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7443053Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7443154Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7443230Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7443307Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7443406Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7443497Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7443572Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7443673Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7443760Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7443823Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7443924Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7444010Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7444084Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7444183Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7444269Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7444344Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7444431Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7444493Z              50 RETURN_VALUE
2022-11-23T01:30:19.7444498Z 
2022-11-23T01:30:19.7444557Z  
2022-11-23T01:30:19.7444745Z [2022-11-23 01:23:42,722] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7444815Z  - 
2022-11-23T01:30:19.7444934Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7445001Z             {
2022-11-23T01:30:19.7445142Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7445315Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7445433Z                 'obj_weakref': None
2022-11-23T01:30:19.7445657Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7445721Z             }
2022-11-23T01:30:19.7445785Z             
2022-11-23T01:30:19.7445853Z  - 
2022-11-23T01:30:19.7445977Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7446028Z             {
2022-11-23T01:30:19.7446169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7446275Z                 'code': None,
2022-11-23T01:30:19.7446489Z                 'obj_weakref': <weakref at 0x7ff58fec8b80; to 'Tensor' at 0x7ff58fd29fd0>
2022-11-23T01:30:19.7446773Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7446838Z             }
2022-11-23T01:30:19.7446902Z             
2022-11-23T01:30:19.7446959Z  - 
2022-11-23T01:30:19.7447080Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7447143Z             {
2022-11-23T01:30:19.7447287Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7447395Z                 'code': None,
2022-11-23T01:30:19.7447606Z                 'obj_weakref': <weakref at 0x7ff58ff1d9e0; to 'Tensor' at 0x7ff5a82301d0>
2022-11-23T01:30:19.7447859Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7447910Z             }
2022-11-23T01:30:19.7447972Z             
2022-11-23T01:30:19.7448039Z  - 
2022-11-23T01:30:19.7448172Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7448263Z             {
2022-11-23T01:30:19.7448397Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7448569Z                 'code': ['___check_obj_id(model, 140693070732672)'],
2022-11-23T01:30:19.7448677Z                 'obj_weakref': None
2022-11-23T01:30:19.7448906Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7448969Z             }
2022-11-23T01:30:19.7449034Z             
2022-11-23T01:30:19.7449104Z  - 
2022-11-23T01:30:19.7449224Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7449288Z             {
2022-11-23T01:30:19.7449410Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7449625Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7449742Z                 'obj_weakref': None
2022-11-23T01:30:19.7449962Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7450028Z             }
2022-11-23T01:30:19.7450088Z             
2022-11-23T01:30:19.7450155Z  - 
2022-11-23T01:30:19.7450274Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7450341Z             {
2022-11-23T01:30:19.7450459Z                 'guard_types': None,
2022-11-23T01:30:19.7450564Z                 'code': None,
2022-11-23T01:30:19.7450679Z                 'obj_weakref': None
2022-11-23T01:30:19.7450797Z                 'guarded_class': None
2022-11-23T01:30:19.7450846Z             }
2022-11-23T01:30:19.7450908Z             
2022-11-23T01:30:19.7451166Z [2022-11-23 01:23:42,732] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 150
2022-11-23T01:30:19.7451537Z [2022-11-23 01:23:42,754] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czwhqllc3jgvj56whfw5b3whsmmsmxpwflronelgqlpk77smbg3v.py
2022-11-23T01:30:19.7451802Z [2022-11-23 01:23:42,754] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 150
2022-11-23T01:30:19.7451810Z 
2022-11-23T01:30:19.7451903Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7451973Z import torch
2022-11-23T01:30:19.7452046Z import random
2022-11-23T01:30:19.7452147Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7452267Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7452272Z 
2022-11-23T01:30:19.7452349Z aten = torch.ops.aten
2022-11-23T01:30:19.7452481Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7452574Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7452579Z 
2022-11-23T01:30:19.7452583Z 
2022-11-23T01:30:19.7452716Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7452921Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7453038Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7453129Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.7453230Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7453324Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.7453457Z                        long* __restrict__ out_ptr2,
2022-11-23T01:30:19.7453553Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7453646Z                        long* __restrict__ out_ptr4)
2022-11-23T01:30:19.7453707Z {
2022-11-23T01:30:19.7453807Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7453856Z     {
2022-11-23T01:30:19.7453933Z         #pragma omp for 
2022-11-23T01:30:19.7454016Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.7454078Z         {
2022-11-23T01:30:19.7454140Z             {
2022-11-23T01:30:19.7454203Z                 {
2022-11-23T01:30:19.7454281Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7454373Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:19.7454481Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7454618Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:30:19.7454709Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:30:19.7454963Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:30:19.7455053Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:30:19.7455138Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.7455210Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:30:19.7455292Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:30:19.7455373Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:30:19.7455455Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:30:19.7455521Z                 }
2022-11-23T01:30:19.7455586Z             }
2022-11-23T01:30:19.7455636Z         }
2022-11-23T01:30:19.7455696Z     }
2022-11-23T01:30:19.7455756Z }
2022-11-23T01:30:19.7455833Z ''')
2022-11-23T01:30:19.7455839Z 
2022-11-23T01:30:19.7455845Z 
2022-11-23T01:30:19.7455937Z async_compile.wait(globals())
2022-11-23T01:30:19.7456010Z del async_compile
2022-11-23T01:30:19.7456014Z 
2022-11-23T01:30:19.7456084Z def call(args):
2022-11-23T01:30:19.7456162Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7456222Z     args.clear()
2022-11-23T01:30:19.7456576Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7456787Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7456977Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7457168Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7457353Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7457614Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7457688Z     del arg0_1
2022-11-23T01:30:19.7457743Z     del arg1_1
2022-11-23T01:30:19.7457840Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7457847Z 
2022-11-23T01:30:19.7457852Z 
2022-11-23T01:30:19.7457928Z if __name__ == "__main__":
2022-11-23T01:30:19.7458043Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7458168Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7458358Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7458550Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7458665Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7458670Z 
2022-11-23T01:30:19.7458724Z ok (0.076s)
2022-11-23T01:30:19.7459026Z   test_div5_cpu (__main__.CpuTests) ... [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7459343Z [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7459610Z [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7459868Z [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7460146Z [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7460467Z [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7460814Z [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7461136Z [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7461554Z [2022-11-23 01:23:42,760] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d168be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113> 
2022-11-23T01:30:19.7461638Z  1115           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7461727Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7461817Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7461905Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7461997Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7462159Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7462250Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7462255Z 
2022-11-23T01:30:19.7462344Z 1116          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7462424Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7462511Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7462599Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7462743Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7462904Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7462997Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7463001Z 
2022-11-23T01:30:19.7463094Z 1117          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7463170Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7463261Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7463350Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7463493Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7463651Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7463744Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7463748Z 
2022-11-23T01:30:19.7463836Z 1118          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7463927Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7463999Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7464004Z 
2022-11-23T01:30:19.7464090Z 1119          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7464180Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7464263Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7464268Z 
2022-11-23T01:30:19.7464356Z 1114          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7464432Z               56 RETURN_VALUE
2022-11-23T01:30:19.7464493Z  
2022-11-23T01:30:19.7464497Z 
2022-11-23T01:30:19.7464813Z [2022-11-23 01:23:42,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1115
2022-11-23T01:30:19.7465017Z [2022-11-23 01:23:42,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7465352Z [2022-11-23 01:23:42,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7465604Z [2022-11-23 01:23:42,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7465874Z [2022-11-23 01:23:42,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7466192Z [2022-11-23 01:23:42,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7466579Z [2022-11-23 01:23:42,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7466992Z [2022-11-23 01:23:42,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7467334Z [2022-11-23 01:23:42,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1116
2022-11-23T01:30:19.7467579Z [2022-11-23 01:23:42,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7467909Z [2022-11-23 01:23:42,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7468182Z [2022-11-23 01:23:42,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7468469Z [2022-11-23 01:23:42,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7468813Z [2022-11-23 01:23:42,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7469221Z [2022-11-23 01:23:42,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:30:19.7469653Z [2022-11-23 01:23:42,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7469964Z [2022-11-23 01:23:42,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1117
2022-11-23T01:30:19.7470233Z [2022-11-23 01:23:42,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7470590Z [2022-11-23 01:23:42,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7470893Z [2022-11-23 01:23:42,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7471220Z [2022-11-23 01:23:42,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7471597Z [2022-11-23 01:23:42,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7472031Z [2022-11-23 01:23:42,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:30:19.7472536Z [2022-11-23 01:23:42,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7472851Z [2022-11-23 01:23:42,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1118
2022-11-23T01:30:19.7473129Z [2022-11-23 01:23:42,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7473445Z [2022-11-23 01:23:42,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7473876Z [2022-11-23 01:23:42,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7474225Z [2022-11-23 01:23:42,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1119
2022-11-23T01:30:19.7474549Z [2022-11-23 01:23:42,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7474896Z [2022-11-23 01:23:42,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7475302Z [2022-11-23 01:23:42,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7475612Z [2022-11-23 01:23:42,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1114
2022-11-23T01:30:19.7475967Z [2022-11-23 01:23:42,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7476214Z [2022-11-23 01:23:42,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7476592Z [2022-11-23 01:23:42,787] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d168be0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1113>
2022-11-23T01:30:19.7476837Z [2022-11-23 01:23:42,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7477056Z [2022-11-23 01:23:42,787] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7477311Z [2022-11-23 01:23:42,789] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7477561Z [2022-11-23 01:23:42,796] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7477752Z [2022-11-23 01:23:42,796] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7477890Z  __compiled_fn_152 <eval_with_key>.1371 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7477980Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7478160Z call_function, div, aten.div, (ex_0_, 16), {'rounding_mode': None}
2022-11-23T01:30:19.7478351Z call_function, div_1, aten.div, (ex_0_, 16), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7478523Z call_function, div_2, aten.div, (ex_0_, 16), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7478713Z call_function, truediv, <built-in function truediv>, (ex_0_, 16), {}
2022-11-23T01:30:19.7478902Z call_function, floordiv, <built-in function floordiv>, (ex_0_, 16), {}
2022-11-23T01:30:19.7479032Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7479038Z 
2022-11-23T01:30:19.7479362Z [2022-11-23 01:23:42,796] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7479459Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7479577Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7479663Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7479742Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7479827Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7479914Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7479990Z              12 RETURN_VALUE
2022-11-23T01:30:19.7479996Z 
2022-11-23T01:30:19.7480058Z  
2022-11-23T01:30:19.7480382Z [2022-11-23 01:23:42,797] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7480490Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_152)
2022-11-23T01:30:19.7480579Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7480685Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7480763Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7480852Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7480954Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7481053Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7481141Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7481219Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.7481306Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7481394Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7481467Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7481563Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7481651Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7481727Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7481827Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7481901Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7481976Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7482079Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7482165Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7482240Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7482326Z              42 BUILD_TUPLE              5
2022-11-23T01:30:19.7482401Z              44 RETURN_VALUE
2022-11-23T01:30:19.7482406Z 
2022-11-23T01:30:19.7482470Z  
2022-11-23T01:30:19.7482642Z [2022-11-23 01:23:42,797] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7482712Z  - 
2022-11-23T01:30:19.7482830Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7482893Z             {
2022-11-23T01:30:19.7483034Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7483220Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7483347Z                 'obj_weakref': None
2022-11-23T01:30:19.7483560Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7483627Z             }
2022-11-23T01:30:19.7483691Z             
2022-11-23T01:30:19.7483759Z  - 
2022-11-23T01:30:19.7483882Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7483947Z             {
2022-11-23T01:30:19.7484088Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7484181Z                 'code': None,
2022-11-23T01:30:19.7484393Z                 'obj_weakref': <weakref at 0x7ff58ffb8c70; to 'Tensor' at 0x7ff59c14c400>
2022-11-23T01:30:19.7484647Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7484710Z             }
2022-11-23T01:30:19.7484773Z             
2022-11-23T01:30:19.7484841Z  - 
2022-11-23T01:30:19.7484970Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:19.7485024Z             {
2022-11-23T01:30:19.7485164Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.7485381Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == 16'],
2022-11-23T01:30:19.7485500Z                 'obj_weakref': None
2022-11-23T01:30:19.7485722Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:19.7485784Z             }
2022-11-23T01:30:19.7485848Z             
2022-11-23T01:30:19.7485905Z  - 
2022-11-23T01:30:19.7486033Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7486094Z             {
2022-11-23T01:30:19.7486228Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7486397Z                 'code': ['___check_obj_id(model, 140693070726624)'],
2022-11-23T01:30:19.7486515Z                 'obj_weakref': None
2022-11-23T01:30:19.7486745Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7486822Z             }
2022-11-23T01:30:19.7486885Z             
2022-11-23T01:30:19.7486952Z  - 
2022-11-23T01:30:19.7487072Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7487137Z             {
2022-11-23T01:30:19.7487272Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7487486Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7487589Z                 'obj_weakref': None
2022-11-23T01:30:19.7487808Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7487872Z             }
2022-11-23T01:30:19.7487932Z             
2022-11-23T01:30:19.7488001Z  - 
2022-11-23T01:30:19.7488131Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7488181Z             {
2022-11-23T01:30:19.7488300Z                 'guard_types': None,
2022-11-23T01:30:19.7488406Z                 'code': None,
2022-11-23T01:30:19.7488524Z                 'obj_weakref': None
2022-11-23T01:30:19.7488647Z                 'guarded_class': None
2022-11-23T01:30:19.7488710Z             }
2022-11-23T01:30:19.7488772Z             
2022-11-23T01:30:19.7489021Z [2022-11-23 01:23:42,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 151
2022-11-23T01:30:19.7489390Z [2022-11-23 01:23:44,302] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lg/clgjbwipkjyomsl27unia6mm4zk5otqhnuh556adix4wscv6ggna.py
2022-11-23T01:30:19.7489652Z [2022-11-23 01:23:44,302] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 151
2022-11-23T01:30:19.7489659Z 
2022-11-23T01:30:19.7489751Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7489820Z import torch
2022-11-23T01:30:19.7489888Z import random
2022-11-23T01:30:19.7490003Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7490124Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7490130Z 
2022-11-23T01:30:19.7490209Z aten = torch.ops.aten
2022-11-23T01:30:19.7490330Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7490420Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7490428Z 
2022-11-23T01:30:19.7490433Z 
2022-11-23T01:30:19.7490570Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7490773Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7490891Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7490989Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7491086Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.7491178Z                        long* __restrict__ out_ptr2,
2022-11-23T01:30:19.7491262Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7491353Z                        long* __restrict__ out_ptr4)
2022-11-23T01:30:19.7491414Z {
2022-11-23T01:30:19.7491511Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7491574Z     {
2022-11-23T01:30:19.7491651Z         #pragma omp for 
2022-11-23T01:30:19.7491720Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.7491782Z         {
2022-11-23T01:30:19.7491873Z             {
2022-11-23T01:30:19.7491937Z                 {
2022-11-23T01:30:19.7492028Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7492135Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7492239Z                     auto tmp2 = static_cast<float>(16);
2022-11-23T01:30:19.7492317Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:19.7492419Z                     auto tmp4 = static_cast<long>(16);
2022-11-23T01:30:19.7492667Z                     auto tmp5 = ((tmp0 < 0) != (tmp4 < 0) ? (tmp0 % tmp4 != 0 ? tmp0 / tmp4 - 1 : tmp0 / tmp4) : tmp0 / tmp4);
2022-11-23T01:30:19.7492756Z                     auto tmp6 = tmp0 / tmp4;
2022-11-23T01:30:19.7492840Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.7492953Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:30:19.7493035Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:30:19.7493116Z                     out_ptr3[i0] = tmp3;
2022-11-23T01:30:19.7493186Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:30:19.7493250Z                 }
2022-11-23T01:30:19.7493313Z             }
2022-11-23T01:30:19.7493375Z         }
2022-11-23T01:30:19.7493438Z     }
2022-11-23T01:30:19.7493498Z }
2022-11-23T01:30:19.7493565Z ''')
2022-11-23T01:30:19.7493570Z 
2022-11-23T01:30:19.7493587Z 
2022-11-23T01:30:19.7493665Z async_compile.wait(globals())
2022-11-23T01:30:19.7493736Z del async_compile
2022-11-23T01:30:19.7493741Z 
2022-11-23T01:30:19.7493810Z def call(args):
2022-11-23T01:30:19.7493878Z     arg0_1, = args
2022-11-23T01:30:19.7493948Z     args.clear()
2022-11-23T01:30:19.7494143Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7494334Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7494511Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7494700Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7494887Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7495124Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7495192Z     del arg0_1
2022-11-23T01:30:19.7495288Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7495293Z 
2022-11-23T01:30:19.7495297Z 
2022-11-23T01:30:19.7495374Z if __name__ == "__main__":
2022-11-23T01:30:19.7495486Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7495595Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7495783Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7495892Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.7495896Z 
2022-11-23T01:30:19.7495964Z ok (1.548s)
2022-11-23T01:30:19.7496263Z   test_div6_cpu (__main__.CpuTests) ... [2022-11-23 01:23:44,310] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7496771Z [2022-11-23 01:23:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7496997Z [2022-11-23 01:23:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7497251Z [2022-11-23 01:23:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7497531Z [2022-11-23 01:23:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7497837Z [2022-11-23 01:23:44,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7498253Z [2022-11-23 01:23:44,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7498575Z [2022-11-23 01:23:44,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7498949Z [2022-11-23 01:23:44,311] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d168d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126> 
2022-11-23T01:30:19.7499044Z  1128           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7499135Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7499226Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7499313Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7499405Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7499592Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7499686Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7499692Z 
2022-11-23T01:30:19.7499783Z 1129          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7499873Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7499963Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7500051Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7500190Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7500352Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7500432Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7500436Z 
2022-11-23T01:30:19.7500528Z 1130          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7500618Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7500710Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7500798Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7500941Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7501101Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7501180Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7501185Z 
2022-11-23T01:30:19.7501269Z 1131          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7501356Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7501440Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7501444Z 
2022-11-23T01:30:19.7501531Z 1132          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7501615Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7501695Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7501700Z 
2022-11-23T01:30:19.7501787Z 1127          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7501849Z               56 RETURN_VALUE
2022-11-23T01:30:19.7501909Z  
2022-11-23T01:30:19.7501914Z 
2022-11-23T01:30:19.7502234Z [2022-11-23 01:23:44,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1128
2022-11-23T01:30:19.7502454Z [2022-11-23 01:23:44,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7502753Z [2022-11-23 01:23:44,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7503001Z [2022-11-23 01:23:44,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7503274Z [2022-11-23 01:23:44,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7503578Z [2022-11-23 01:23:44,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7503981Z [2022-11-23 01:23:44,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7504382Z [2022-11-23 01:23:44,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7504684Z [2022-11-23 01:23:44,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1129
2022-11-23T01:30:19.7504928Z [2022-11-23 01:23:44,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7505254Z [2022-11-23 01:23:44,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7505526Z [2022-11-23 01:23:44,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7505854Z [2022-11-23 01:23:44,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7506190Z [2022-11-23 01:23:44,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7506578Z [2022-11-23 01:23:44,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7506999Z [2022-11-23 01:23:44,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7507311Z [2022-11-23 01:23:44,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1130
2022-11-23T01:30:19.7507583Z [2022-11-23 01:23:44,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7507939Z [2022-11-23 01:23:44,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7508239Z [2022-11-23 01:23:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7508555Z [2022-11-23 01:23:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7508920Z [2022-11-23 01:23:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7509349Z [2022-11-23 01:23:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7509802Z [2022-11-23 01:23:44,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7510114Z [2022-11-23 01:23:44,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1131
2022-11-23T01:30:19.7510405Z [2022-11-23 01:23:44,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7510720Z [2022-11-23 01:23:44,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7511113Z [2022-11-23 01:23:44,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7511422Z [2022-11-23 01:23:44,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1132
2022-11-23T01:30:19.7511737Z [2022-11-23 01:23:44,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7512079Z [2022-11-23 01:23:44,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7512472Z [2022-11-23 01:23:44,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7512810Z [2022-11-23 01:23:44,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1127
2022-11-23T01:30:19.7513150Z [2022-11-23 01:23:44,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7513397Z [2022-11-23 01:23:44,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7513773Z [2022-11-23 01:23:44,346] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d168d40, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1126>
2022-11-23T01:30:19.7514087Z [2022-11-23 01:23:44,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7514321Z [2022-11-23 01:23:44,346] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7514582Z [2022-11-23 01:23:44,348] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7514835Z [2022-11-23 01:23:44,354] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7515024Z [2022-11-23 01:23:44,355] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7515160Z  __compiled_fn_153 <eval_with_key>.1377 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7515250Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7515325Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7515511Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7515700Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7515888Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7516082Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7516279Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7516413Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7516418Z 
2022-11-23T01:30:19.7516742Z [2022-11-23 01:23:44,355] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7516824Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7516915Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7517002Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7517092Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7517177Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7517264Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7517339Z              12 RETURN_VALUE
2022-11-23T01:30:19.7517344Z 
2022-11-23T01:30:19.7517394Z  
2022-11-23T01:30:19.7517750Z [2022-11-23 01:23:44,355] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7517858Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_153)
2022-11-23T01:30:19.7517947Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7518036Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7518111Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7518197Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7518284Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7518346Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7518434Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7518535Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7518634Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7518722Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7518824Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7518926Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7519004Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7519081Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7519179Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7519266Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7519340Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7519438Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7519522Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7519584Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7519683Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7519768Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7519842Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7519928Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7520004Z              50 RETURN_VALUE
2022-11-23T01:30:19.7520009Z 
2022-11-23T01:30:19.7520069Z  
2022-11-23T01:30:19.7520241Z [2022-11-23 01:23:44,356] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7520313Z  - 
2022-11-23T01:30:19.7520431Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7520498Z             {
2022-11-23T01:30:19.7520636Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7520821Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7520942Z                 'obj_weakref': None
2022-11-23T01:30:19.7521154Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7521218Z             }
2022-11-23T01:30:19.7521283Z             
2022-11-23T01:30:19.7521350Z  - 
2022-11-23T01:30:19.7521473Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7521534Z             {
2022-11-23T01:30:19.7521675Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7521768Z                 'code': None,
2022-11-23T01:30:19.7521980Z                 'obj_weakref': <weakref at 0x7ff58fe3dda0; to 'Tensor' at 0x7ff6383f4860>
2022-11-23T01:30:19.7522236Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7522299Z             }
2022-11-23T01:30:19.7522362Z             
2022-11-23T01:30:19.7522430Z  - 
2022-11-23T01:30:19.7522550Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7522601Z             {
2022-11-23T01:30:19.7522740Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7522845Z                 'code': None,
2022-11-23T01:30:19.7523050Z                 'obj_weakref': <weakref at 0x7ff58fe3e250; to 'Tensor' at 0x7ff6383f5030>
2022-11-23T01:30:19.7523300Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7523366Z             }
2022-11-23T01:30:19.7523428Z             
2022-11-23T01:30:19.7523483Z  - 
2022-11-23T01:30:19.7523614Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7523736Z             {
2022-11-23T01:30:19.7523872Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7524039Z                 'code': ['___check_obj_id(model, 140692657047296)'],
2022-11-23T01:30:19.7524155Z                 'obj_weakref': None
2022-11-23T01:30:19.7524385Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7524436Z             }
2022-11-23T01:30:19.7524499Z             
2022-11-23T01:30:19.7524567Z  - 
2022-11-23T01:30:19.7524689Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7524752Z             {
2022-11-23T01:30:19.7524886Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7525103Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7525235Z                 'obj_weakref': None
2022-11-23T01:30:19.7525453Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7525519Z             }
2022-11-23T01:30:19.7525581Z             
2022-11-23T01:30:19.7525648Z  - 
2022-11-23T01:30:19.7525777Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7525838Z             {
2022-11-23T01:30:19.7525944Z                 'guard_types': None,
2022-11-23T01:30:19.7526049Z                 'code': None,
2022-11-23T01:30:19.7526166Z                 'obj_weakref': None
2022-11-23T01:30:19.7526288Z                 'guarded_class': None
2022-11-23T01:30:19.7526350Z             }
2022-11-23T01:30:19.7526411Z             
2022-11-23T01:30:19.7526671Z [2022-11-23 01:23:44,366] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 152
2022-11-23T01:30:19.7527023Z [2022-11-23 01:23:45,769] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/32/c323ip3ntgdzkaukmtmcmb2d2eovh7ujgnx7gxhl722rnkfzl6q7.py
2022-11-23T01:30:19.7527288Z [2022-11-23 01:23:45,769] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 152
2022-11-23T01:30:19.7527296Z 
2022-11-23T01:30:19.7527390Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7527457Z import torch
2022-11-23T01:30:19.7527527Z import random
2022-11-23T01:30:19.7527643Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7527763Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7527768Z 
2022-11-23T01:30:19.7527846Z aten = torch.ops.aten
2022-11-23T01:30:19.7527966Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7528065Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7528070Z 
2022-11-23T01:30:19.7528075Z 
2022-11-23T01:30:19.7528207Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7528413Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7528531Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:30:19.7528634Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.7528736Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7528835Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.7528916Z                        long* __restrict__ out_ptr2,
2022-11-23T01:30:19.7529011Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7529102Z                        long* __restrict__ out_ptr4)
2022-11-23T01:30:19.7529161Z {
2022-11-23T01:30:19.7529257Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7529319Z     {
2022-11-23T01:30:19.7529397Z         #pragma omp for 
2022-11-23T01:30:19.7529466Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.7529529Z         {
2022-11-23T01:30:19.7529593Z             {
2022-11-23T01:30:19.7529657Z                 {
2022-11-23T01:30:19.7529747Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7529837Z                     auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:19.7529942Z                     auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:30:19.7530067Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:19.7530174Z                     auto tmp4 = static_cast<float>(tmp3);
2022-11-23T01:30:19.7530264Z                     auto tmp5 = tmp2 / tmp4;
2022-11-23T01:30:19.7530515Z                     auto tmp6 = ((tmp1 < 0) != (tmp3 < 0) ? (tmp1 % tmp3 != 0 ? tmp1 / tmp3 - 1 : tmp1 / tmp3) : tmp1 / tmp3);
2022-11-23T01:30:19.7530605Z                     auto tmp7 = tmp1 / tmp3;
2022-11-23T01:30:19.7530710Z                     auto tmp8 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7530798Z                     auto tmp9 = tmp8 / tmp4;
2022-11-23T01:30:19.7530871Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:30:19.7530954Z                     out_ptr1[i0] = tmp6;
2022-11-23T01:30:19.7531034Z                     out_ptr2[i0] = tmp7;
2022-11-23T01:30:19.7531144Z                     out_ptr3[i0] = tmp9;
2022-11-23T01:30:19.7531224Z                     out_ptr4[i0] = tmp6;
2022-11-23T01:30:19.7531289Z                 }
2022-11-23T01:30:19.7531354Z             }
2022-11-23T01:30:19.7531405Z         }
2022-11-23T01:30:19.7531467Z     }
2022-11-23T01:30:19.7531526Z }
2022-11-23T01:30:19.7531603Z ''')
2022-11-23T01:30:19.7531609Z 
2022-11-23T01:30:19.7531613Z 
2022-11-23T01:30:19.7531705Z async_compile.wait(globals())
2022-11-23T01:30:19.7531778Z del async_compile
2022-11-23T01:30:19.7531783Z 
2022-11-23T01:30:19.7531852Z def call(args):
2022-11-23T01:30:19.7531916Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7531988Z     args.clear()
2022-11-23T01:30:19.7532184Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7532375Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7532563Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7532756Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7532938Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7533198Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7533268Z     del arg0_1
2022-11-23T01:30:19.7533322Z     del arg1_1
2022-11-23T01:30:19.7533418Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7533424Z 
2022-11-23T01:30:19.7533428Z 
2022-11-23T01:30:19.7533505Z if __name__ == "__main__":
2022-11-23T01:30:19.7533619Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7533739Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7533927Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.7534117Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7534220Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7534236Z 
2022-11-23T01:30:19.7534293Z ok (1.466s)
2022-11-23T01:30:19.7534592Z   test_div7_cpu (__main__.CpuTests) ... [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7534908Z [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7535126Z [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7535373Z [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7535649Z [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7535966Z [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7536337Z [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7536795Z [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7537169Z [2022-11-23 01:23:45,776] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d168ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142> 
2022-11-23T01:30:19.7537265Z  1144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7537356Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7537433Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7537521Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7537666Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7537827Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7537921Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7537926Z 
2022-11-23T01:30:19.7538017Z 1145          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7538104Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7538194Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7538268Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7538410Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7538569Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7538659Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7538664Z 
2022-11-23T01:30:19.7538756Z 1146          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7538842Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7538931Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7539015Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7539147Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7539304Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7539394Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7539398Z 
2022-11-23T01:30:19.7539484Z 1147          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7539572Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7539655Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7539661Z 
2022-11-23T01:30:19.7539754Z 1148          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7539827Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7539912Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7539917Z 
2022-11-23T01:30:19.7540006Z 1143          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7540084Z               56 RETURN_VALUE
2022-11-23T01:30:19.7540145Z  
2022-11-23T01:30:19.7540150Z 
2022-11-23T01:30:19.7540471Z [2022-11-23 01:23:45,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1144
2022-11-23T01:30:19.7540689Z [2022-11-23 01:23:45,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7540991Z [2022-11-23 01:23:45,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7541240Z [2022-11-23 01:23:45,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7541502Z [2022-11-23 01:23:45,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7541811Z [2022-11-23 01:23:45,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7542237Z [2022-11-23 01:23:45,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7542640Z [2022-11-23 01:23:45,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7542952Z [2022-11-23 01:23:45,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1145
2022-11-23T01:30:19.7543197Z [2022-11-23 01:23:45,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7543525Z [2022-11-23 01:23:45,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7543825Z [2022-11-23 01:23:45,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7544130Z [2022-11-23 01:23:45,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7544470Z [2022-11-23 01:23:45,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7544863Z [2022-11-23 01:23:45,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7545286Z [2022-11-23 01:23:45,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7545588Z [2022-11-23 01:23:45,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1146
2022-11-23T01:30:19.7545858Z [2022-11-23 01:23:45,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7546217Z [2022-11-23 01:23:45,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7546519Z [2022-11-23 01:23:45,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7546847Z [2022-11-23 01:23:45,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7547209Z [2022-11-23 01:23:45,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7547635Z [2022-11-23 01:23:45,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7548083Z [2022-11-23 01:23:45,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7548395Z [2022-11-23 01:23:45,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1147
2022-11-23T01:30:19.7548686Z [2022-11-23 01:23:45,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7549001Z [2022-11-23 01:23:45,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7549393Z [2022-11-23 01:23:45,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7549705Z [2022-11-23 01:23:45,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1148
2022-11-23T01:30:19.7550010Z [2022-11-23 01:23:45,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7550353Z [2022-11-23 01:23:45,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7550746Z [2022-11-23 01:23:45,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7551086Z [2022-11-23 01:23:45,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1143
2022-11-23T01:30:19.7551439Z [2022-11-23 01:23:45,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7551681Z [2022-11-23 01:23:45,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7552055Z [2022-11-23 01:23:45,803] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d168ea0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1142>
2022-11-23T01:30:19.7552295Z [2022-11-23 01:23:45,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7552529Z [2022-11-23 01:23:45,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7552783Z [2022-11-23 01:23:45,804] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7553030Z [2022-11-23 01:23:45,811] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7553202Z [2022-11-23 01:23:45,811] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7553338Z  __compiled_fn_154 <eval_with_key>.1383 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7553430Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7553518Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7553702Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7553986Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7554178Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7554368Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7554553Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7554683Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7554688Z 
2022-11-23T01:30:19.7555012Z [2022-11-23 01:23:45,811] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7555106Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7555197Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7555282Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7555373Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7555460Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7555535Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7555611Z              12 RETURN_VALUE
2022-11-23T01:30:19.7555616Z 
2022-11-23T01:30:19.7555677Z  
2022-11-23T01:30:19.7556031Z [2022-11-23 01:23:45,812] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7556137Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_154)
2022-11-23T01:30:19.7556225Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7556312Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7556376Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7556461Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7556546Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7556619Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7556704Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7556803Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7556901Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7557015Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7557078Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7557178Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7557264Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7557337Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7557433Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7557520Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7557592Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7557678Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7557761Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7557833Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7557931Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7558013Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7558087Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7558174Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7558235Z              50 RETURN_VALUE
2022-11-23T01:30:19.7558241Z 
2022-11-23T01:30:19.7558301Z  
2022-11-23T01:30:19.7558483Z [2022-11-23 01:23:45,812] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7558552Z  - 
2022-11-23T01:30:19.7558670Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7558733Z             {
2022-11-23T01:30:19.7558870Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7559044Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7559161Z                 'obj_weakref': None
2022-11-23T01:30:19.7559382Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7559447Z             }
2022-11-23T01:30:19.7559508Z             
2022-11-23T01:30:19.7559574Z  - 
2022-11-23T01:30:19.7559695Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7559748Z             {
2022-11-23T01:30:19.7559888Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7559995Z                 'code': None,
2022-11-23T01:30:19.7560209Z                 'obj_weakref': <weakref at 0x7ff58fe055d0; to 'Tensor' at 0x7ff5a80f43b0>
2022-11-23T01:30:19.7560459Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7560520Z             }
2022-11-23T01:30:19.7560580Z             
2022-11-23T01:30:19.7560635Z  - 
2022-11-23T01:30:19.7560757Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7560819Z             {
2022-11-23T01:30:19.7560959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7561062Z                 'code': None,
2022-11-23T01:30:19.7561271Z                 'obj_weakref': <weakref at 0x7ff59c062d40; to 'Tensor' at 0x7ff58fd09990>
2022-11-23T01:30:19.7561523Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7561576Z             }
2022-11-23T01:30:19.7561639Z             
2022-11-23T01:30:19.7561706Z  - 
2022-11-23T01:30:19.7561862Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7561925Z             {
2022-11-23T01:30:19.7562056Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7562221Z                 'code': ['___check_obj_id(model, 140693068984768)'],
2022-11-23T01:30:19.7562327Z                 'obj_weakref': None
2022-11-23T01:30:19.7562552Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7562614Z             }
2022-11-23T01:30:19.7562676Z             
2022-11-23T01:30:19.7562742Z  - 
2022-11-23T01:30:19.7562860Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7562921Z             {
2022-11-23T01:30:19.7563042Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7563255Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7563399Z                 'obj_weakref': None
2022-11-23T01:30:19.7563617Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7563679Z             }
2022-11-23T01:30:19.7563739Z             
2022-11-23T01:30:19.7563805Z  - 
2022-11-23T01:30:19.7563923Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7563983Z             {
2022-11-23T01:30:19.7564103Z                 'guard_types': None,
2022-11-23T01:30:19.7564205Z                 'code': None,
2022-11-23T01:30:19.7564319Z                 'obj_weakref': None
2022-11-23T01:30:19.7564435Z                 'guarded_class': None
2022-11-23T01:30:19.7564497Z             }
2022-11-23T01:30:19.7564547Z             
2022-11-23T01:30:19.7564803Z [2022-11-23 01:23:45,822] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 153
2022-11-23T01:30:19.7565176Z [2022-11-23 01:23:47,294] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hp/chpwd6sruoqq3mhsivq7mecrlyfz5p2z7wqvbnkyoleghyu7qjnw.py
2022-11-23T01:30:19.7565439Z [2022-11-23 01:23:47,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 153
2022-11-23T01:30:19.7565445Z 
2022-11-23T01:30:19.7565536Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7565600Z import torch
2022-11-23T01:30:19.7565671Z import random
2022-11-23T01:30:19.7565783Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7565891Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7565897Z 
2022-11-23T01:30:19.7565972Z aten = torch.ops.aten
2022-11-23T01:30:19.7566103Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7566193Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7566198Z 
2022-11-23T01:30:19.7566202Z 
2022-11-23T01:30:19.7566332Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7566536Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7566653Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7566756Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.7566842Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7566937Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.7567027Z                        long* __restrict__ out_ptr2,
2022-11-23T01:30:19.7567123Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7567213Z                        long* __restrict__ out_ptr4)
2022-11-23T01:30:19.7567272Z {
2022-11-23T01:30:19.7567367Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7567416Z     {
2022-11-23T01:30:19.7567491Z         #pragma omp for 
2022-11-23T01:30:19.7567573Z         for(long i0=0; i0<10000; i0+=1)
2022-11-23T01:30:19.7567634Z         {
2022-11-23T01:30:19.7567693Z             {
2022-11-23T01:30:19.7567761Z                 {
2022-11-23T01:30:19.7567850Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7567929Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:19.7568066Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7568171Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:30:19.7568258Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:30:19.7568504Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:30:19.7568593Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:30:19.7568679Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.7568748Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:30:19.7568827Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:30:19.7568910Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:30:19.7568989Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:30:19.7569080Z                 }
2022-11-23T01:30:19.7569142Z             }
2022-11-23T01:30:19.7569203Z         }
2022-11-23T01:30:19.7569252Z     }
2022-11-23T01:30:19.7569309Z }
2022-11-23T01:30:19.7569387Z ''')
2022-11-23T01:30:19.7569394Z 
2022-11-23T01:30:19.7569398Z 
2022-11-23T01:30:19.7569491Z async_compile.wait(globals())
2022-11-23T01:30:19.7569563Z del async_compile
2022-11-23T01:30:19.7569568Z 
2022-11-23T01:30:19.7569636Z def call(args):
2022-11-23T01:30:19.7569711Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7569769Z     args.clear()
2022-11-23T01:30:19.7569973Z     buf0 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7570172Z     buf1 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7570368Z     buf2 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7570566Z     buf3 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7570761Z     buf4 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7571020Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7571088Z     del arg0_1
2022-11-23T01:30:19.7571142Z     del arg1_1
2022-11-23T01:30:19.7571234Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7571239Z 
2022-11-23T01:30:19.7571244Z 
2022-11-23T01:30:19.7571317Z if __name__ == "__main__":
2022-11-23T01:30:19.7571429Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7571550Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7571748Z     arg0_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7571945Z     arg1_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7572059Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7572067Z 
2022-11-23T01:30:19.7572120Z ok (1.526s)
2022-11-23T01:30:19.7572421Z   test_div8_cpu (__main__.CpuTests) ... [2022-11-23 01:23:47,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7572736Z [2022-11-23 01:23:47,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7572950Z [2022-11-23 01:23:47,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7573201Z [2022-11-23 01:23:47,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7573477Z [2022-11-23 01:23:47,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7573798Z [2022-11-23 01:23:47,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7574168Z [2022-11-23 01:23:47,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7574490Z [2022-11-23 01:23:47,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7574862Z [2022-11-23 01:23:47,300] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160> 
2022-11-23T01:30:19.7574946Z  1162           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7575032Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7575122Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7575209Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7575299Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7575489Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7575580Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7575585Z 
2022-11-23T01:30:19.7575678Z 1163          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7575754Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7575840Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7575926Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7576067Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7576225Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7576314Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7576319Z 
2022-11-23T01:30:19.7576551Z 1164          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7576686Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7576771Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7576864Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7577008Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7577167Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7577259Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7577263Z 
2022-11-23T01:30:19.7577348Z 1165          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7577435Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7577505Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7577522Z 
2022-11-23T01:30:19.7577594Z 1166          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7577677Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7577764Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7577770Z 
2022-11-23T01:30:19.7577858Z 1161          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7577932Z               56 RETURN_VALUE
2022-11-23T01:30:19.7577991Z  
2022-11-23T01:30:19.7577998Z 
2022-11-23T01:30:19.7578316Z [2022-11-23 01:23:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1162
2022-11-23T01:30:19.7578522Z [2022-11-23 01:23:47,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7578823Z [2022-11-23 01:23:47,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7579075Z [2022-11-23 01:23:47,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7579357Z [2022-11-23 01:23:47,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:30:19.7579681Z [2022-11-23 01:23:47,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.7580070Z [2022-11-23 01:23:47,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7580548Z [2022-11-23 01:23:47,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7580860Z [2022-11-23 01:23:47,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1163
2022-11-23T01:30:19.7581106Z [2022-11-23 01:23:47,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7581434Z [2022-11-23 01:23:47,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7581706Z [2022-11-23 01:23:47,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7582053Z [2022-11-23 01:23:47,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:30:19.7582394Z [2022-11-23 01:23:47,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.7582804Z [2022-11-23 01:23:47,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:30:19.7583252Z [2022-11-23 01:23:47,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7583564Z [2022-11-23 01:23:47,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1164
2022-11-23T01:30:19.7583837Z [2022-11-23 01:23:47,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7584198Z [2022-11-23 01:23:47,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7584497Z [2022-11-23 01:23:47,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7584838Z [2022-11-23 01:23:47,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:30:19.7585220Z [2022-11-23 01:23:47,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.7585662Z [2022-11-23 01:23:47,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:30:19.7586129Z [2022-11-23 01:23:47,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7586439Z [2022-11-23 01:23:47,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1165
2022-11-23T01:30:19.7586728Z [2022-11-23 01:23:47,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7587039Z [2022-11-23 01:23:47,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7587462Z [2022-11-23 01:23:47,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.7587773Z [2022-11-23 01:23:47,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1166
2022-11-23T01:30:19.7588099Z [2022-11-23 01:23:47,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.7588463Z [2022-11-23 01:23:47,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:30:19.7588887Z [2022-11-23 01:23:47,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.7589228Z [2022-11-23 01:23:47,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1161
2022-11-23T01:30:19.7589600Z [2022-11-23 01:23:47,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:30:19.7589845Z [2022-11-23 01:23:47,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7590228Z [2022-11-23 01:23:47,337] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169000, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1160>
2022-11-23T01:30:19.7590471Z [2022-11-23 01:23:47,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7590709Z [2022-11-23 01:23:47,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7590952Z [2022-11-23 01:23:47,339] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7591202Z [2022-11-23 01:23:47,347] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7591390Z [2022-11-23 01:23:47,347] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7591525Z  __compiled_fn_155 <eval_with_key>.1389 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7591708Z call_function, div, aten.div, (1024, 100), {'rounding_mode': None}
2022-11-23T01:30:19.7591895Z call_function, div_1, aten.div, (1024, 100), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7592082Z call_function, div_2, aten.div, (1024, 100), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7592191Z output, output, output, ((div, div_1, div_2),), {}
2022-11-23T01:30:19.7592198Z 
2022-11-23T01:30:19.7592526Z [2022-11-23 01:23:47,348] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7592607Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7592698Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7592785Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7592878Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7592964Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7593051Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7593128Z              12 RETURN_VALUE
2022-11-23T01:30:19.7593134Z 
2022-11-23T01:30:19.7593181Z  
2022-11-23T01:30:19.7593500Z [2022-11-23 01:23:47,348] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7593610Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_155)
2022-11-23T01:30:19.7593696Z               2 CALL_FUNCTION            0
2022-11-23T01:30:19.7593899Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7594000Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7594091Z               8 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7594172Z              10 BINARY_SUBSCR
2022-11-23T01:30:19.7594260Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7594349Z              14 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7594426Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.7594525Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7594610Z              20 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7594686Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7594775Z              24 LOAD_CONST               4 (10.24)
2022-11-23T01:30:19.7594851Z              26 LOAD_CONST               5 (10)
2022-11-23T01:30:19.7594971Z              28 BUILD_TUPLE              5
2022-11-23T01:30:19.7595047Z              30 RETURN_VALUE
2022-11-23T01:30:19.7595051Z 
2022-11-23T01:30:19.7595115Z  
2022-11-23T01:30:19.7595303Z [2022-11-23 01:23:47,350] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7595374Z  - 
2022-11-23T01:30:19.7595495Z             local 'ex' EQUALS_MATCH
2022-11-23T01:30:19.7595548Z             {
2022-11-23T01:30:19.7595716Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:19.7596041Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2', '___check_type_id(ex[0], 94571819095424)', '___check_type_id(ex[1], 94571819095424)', 'ex == (1024, 100)'],
2022-11-23T01:30:19.7596163Z                 'obj_weakref': None
2022-11-23T01:30:19.7596388Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7596452Z             }
2022-11-23T01:30:19.7596520Z             
2022-11-23T01:30:19.7596590Z  - 
2022-11-23T01:30:19.7596706Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:30:19.7596769Z             {
2022-11-23T01:30:19.7596913Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.7597103Z                 'code': ['___check_type_id(ex[0], 94571819095424)', 'ex[0] == 1024'],
2022-11-23T01:30:19.7597223Z                 'obj_weakref': None
2022-11-23T01:30:19.7597444Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:19.7597505Z             }
2022-11-23T01:30:19.7597554Z             
2022-11-23T01:30:19.7597621Z  - 
2022-11-23T01:30:19.7597748Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:19.7597808Z             {
2022-11-23T01:30:19.7597947Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.7598131Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == 100'],
2022-11-23T01:30:19.7598247Z                 'obj_weakref': None
2022-11-23T01:30:19.7598456Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:19.7598517Z             }
2022-11-23T01:30:19.7598579Z             
2022-11-23T01:30:19.7598645Z  - 
2022-11-23T01:30:19.7598771Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7598831Z             {
2022-11-23T01:30:19.7598950Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7599114Z                 'code': ['___check_obj_id(model, 140693068985488)'],
2022-11-23T01:30:19.7599230Z                 'obj_weakref': None
2022-11-23T01:30:19.7599457Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7599517Z             }
2022-11-23T01:30:19.7599579Z             
2022-11-23T01:30:19.7599646Z  - 
2022-11-23T01:30:19.7599754Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7599813Z             {
2022-11-23T01:30:19.7599947Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7600162Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7600279Z                 'obj_weakref': None
2022-11-23T01:30:19.7600522Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7600585Z             }
2022-11-23T01:30:19.7600647Z             
2022-11-23T01:30:19.7600703Z  - 
2022-11-23T01:30:19.7600832Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7600895Z             {
2022-11-23T01:30:19.7601012Z                 'guard_types': None,
2022-11-23T01:30:19.7601117Z                 'code': None,
2022-11-23T01:30:19.7601231Z                 'obj_weakref': None
2022-11-23T01:30:19.7601337Z                 'guarded_class': None
2022-11-23T01:30:19.7601398Z             }
2022-11-23T01:30:19.7601458Z             
2022-11-23T01:30:19.7601716Z [2022-11-23 01:23:47,362] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 154
2022-11-23T01:30:19.7602113Z [2022-11-23 01:23:48,853] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t3/ct3rcykxbr22hviahpp2pahfhco4zrxvgbfpvqte43b2ixijilnf.py
2022-11-23T01:30:19.7602375Z [2022-11-23 01:23:48,854] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 154
2022-11-23T01:30:19.7602381Z 
2022-11-23T01:30:19.7602472Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7602539Z import torch
2022-11-23T01:30:19.7602596Z import random
2022-11-23T01:30:19.7602708Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7602828Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7602833Z 
2022-11-23T01:30:19.7602910Z aten = torch.ops.aten
2022-11-23T01:30:19.7603043Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7603133Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7603138Z 
2022-11-23T01:30:19.7603143Z 
2022-11-23T01:30:19.7603275Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7603477Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7603578Z extern "C" void kernel(long* __restrict__ out_ptr0,
2022-11-23T01:30:19.7603670Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.7603761Z                        long* __restrict__ out_ptr2)
2022-11-23T01:30:19.7603823Z {
2022-11-23T01:30:19.7603884Z     {
2022-11-23T01:30:19.7603944Z         {
2022-11-23T01:30:19.7604043Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:30:19.7604131Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:30:19.7604214Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7604294Z             out_ptr0[0] = tmp2;
2022-11-23T01:30:19.7604355Z         }
2022-11-23T01:30:19.7604414Z     }
2022-11-23T01:30:19.7604473Z     {
2022-11-23T01:30:19.7604532Z         {
2022-11-23T01:30:19.7604619Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:30:19.7604716Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:30:19.7604960Z             auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1);
2022-11-23T01:30:19.7605038Z             out_ptr1[0] = tmp2;
2022-11-23T01:30:19.7605100Z         }
2022-11-23T01:30:19.7605158Z     }
2022-11-23T01:30:19.7605218Z     {
2022-11-23T01:30:19.7605268Z         {
2022-11-23T01:30:19.7605364Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:30:19.7605460Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:30:19.7605542Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7605617Z             out_ptr2[0] = tmp2;
2022-11-23T01:30:19.7605677Z         }
2022-11-23T01:30:19.7605725Z     }
2022-11-23T01:30:19.7605781Z }
2022-11-23T01:30:19.7605858Z ''')
2022-11-23T01:30:19.7605863Z 
2022-11-23T01:30:19.7605867Z 
2022-11-23T01:30:19.7605954Z async_compile.wait(globals())
2022-11-23T01:30:19.7606027Z del async_compile
2022-11-23T01:30:19.7606034Z 
2022-11-23T01:30:19.7606101Z def call(args):
2022-11-23T01:30:19.7606279Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7606483Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7606644Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7606802Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.7606886Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.7606891Z 
2022-11-23T01:30:19.7606895Z 
2022-11-23T01:30:19.7606969Z if __name__ == "__main__":
2022-11-23T01:30:19.7607082Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7607201Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7607296Z     print_performance(lambda: call([]))
2022-11-23T01:30:19.7607301Z 
2022-11-23T01:30:19.7607365Z ok (1.559s)
2022-11-23T01:30:19.7607661Z   test_div_prim_cpu (__main__.CpuTests) ... [2022-11-23 01:23:48,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7608008Z [2022-11-23 01:23:48,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7608224Z [2022-11-23 01:23:48,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7608475Z [2022-11-23 01:23:48,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7608748Z [2022-11-23 01:23:48,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7609064Z [2022-11-23 01:23:48,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7609405Z [2022-11-23 01:23:48,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7609731Z [2022-11-23 01:23:48,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7610100Z [2022-11-23 01:23:48,860] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:30:19.7610196Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7610276Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.7610368Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:30:19.7610458Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:30:19.7610546Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7610633Z               10 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7610720Z               12 CALL_METHOD              2
2022-11-23T01:30:19.7610808Z               14 BUILD_TUPLE              1
2022-11-23T01:30:19.7610872Z               16 RETURN_VALUE
2022-11-23T01:30:19.7610930Z  
2022-11-23T01:30:19.7610935Z 
2022-11-23T01:30:19.7611251Z [2022-11-23 01:23:48,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T01:30:19.7611467Z [2022-11-23 01:23:48,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.7611831Z [2022-11-23 01:23:48,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7612122Z [2022-11-23 01:23:48,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.7612425Z [2022-11-23 01:23:48,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:30:19.7612674Z [2022-11-23 01:23:48,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:30:19.7612981Z [2022-11-23 01:23:48,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:30:19.7613291Z [2022-11-23 01:23:48,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7613517Z [2022-11-23 01:23:48,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.7613757Z [2022-11-23 01:23:48,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7614129Z [2022-11-23 01:23:48,868] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T01:30:19.7614395Z [2022-11-23 01:23:48,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7614627Z [2022-11-23 01:23:48,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7614876Z [2022-11-23 01:23:48,869] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7615119Z [2022-11-23 01:23:48,872] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7615306Z [2022-11-23 01:23:48,872] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7615437Z  __compiled_fn_156 <eval_with_key>.1395 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7615513Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7615596Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7615703Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7615794Z output, output, output, ((div,),), {}
2022-11-23T01:30:19.7615803Z 
2022-11-23T01:30:19.7616123Z [2022-11-23 01:23:48,872] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7616218Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7616306Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7616390Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7616618Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7616702Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7616789Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7616864Z              12 RETURN_VALUE
2022-11-23T01:30:19.7616870Z 
2022-11-23T01:30:19.7616929Z  
2022-11-23T01:30:19.7617252Z [2022-11-23 01:23:48,872] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7617361Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_156)
2022-11-23T01:30:19.7617451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7617528Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7617608Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7617699Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7617784Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7617859Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7617944Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7618047Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7618133Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7618220Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7618301Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7618386Z              24 BUILD_TUPLE              1
2022-11-23T01:30:19.7618462Z              26 RETURN_VALUE
2022-11-23T01:30:19.7618466Z 
2022-11-23T01:30:19.7618525Z  
2022-11-23T01:30:19.7618705Z [2022-11-23 01:23:48,873] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7618761Z  - 
2022-11-23T01:30:19.7618878Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7618993Z             {
2022-11-23T01:30:19.7619135Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7619321Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7619439Z                 'obj_weakref': None
2022-11-23T01:30:19.7619662Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7619713Z             }
2022-11-23T01:30:19.7619774Z             
2022-11-23T01:30:19.7619841Z  - 
2022-11-23T01:30:19.7619965Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7620030Z             {
2022-11-23T01:30:19.7620171Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7620276Z                 'code': None,
2022-11-23T01:30:19.7620474Z                 'obj_weakref': <weakref at 0x7ff59c14ac00; to 'Tensor' at 0x7ff5a8480400>
2022-11-23T01:30:19.7620799Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7620861Z             }
2022-11-23T01:30:19.7620921Z             
2022-11-23T01:30:19.7620989Z  - 
2022-11-23T01:30:19.7621111Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7621173Z             {
2022-11-23T01:30:19.7621302Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7621406Z                 'code': None,
2022-11-23T01:30:19.7621616Z                 'obj_weakref': <weakref at 0x7ff59c148130; to 'Tensor' at 0x7ff58fe3e890>
2022-11-23T01:30:19.7621865Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7621927Z             }
2022-11-23T01:30:19.7621989Z             
2022-11-23T01:30:19.7622058Z  - 
2022-11-23T01:30:19.7622175Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7622240Z             {
2022-11-23T01:30:19.7622372Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7622545Z                 'code': ['___check_obj_id(model, 140693070725328)'],
2022-11-23T01:30:19.7622664Z                 'obj_weakref': None
2022-11-23T01:30:19.7622889Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7622951Z             }
2022-11-23T01:30:19.7623000Z             
2022-11-23T01:30:19.7623066Z  - 
2022-11-23T01:30:19.7623186Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7623247Z             {
2022-11-23T01:30:19.7623384Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7623597Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7623715Z                 'obj_weakref': None
2022-11-23T01:30:19.7623922Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7623985Z             }
2022-11-23T01:30:19.7624045Z             
2022-11-23T01:30:19.7624111Z  - 
2022-11-23T01:30:19.7624243Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.7624305Z             {
2022-11-23T01:30:19.7624422Z                 'guard_types': None,
2022-11-23T01:30:19.7624514Z                 'code': None,
2022-11-23T01:30:19.7624627Z                 'obj_weakref': None
2022-11-23T01:30:19.7624745Z                 'guarded_class': None
2022-11-23T01:30:19.7624807Z             }
2022-11-23T01:30:19.7624868Z             
2022-11-23T01:30:19.7625124Z [2022-11-23 01:23:48,879] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 155
2022-11-23T01:30:19.7625496Z [2022-11-23 01:23:50,549] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/em/cem4gkvxmnmdxxbainuyrzrqtcjjstoj267xkufq4hpdfnyebobo.py
2022-11-23T01:30:19.7625756Z [2022-11-23 01:23:50,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 155
2022-11-23T01:30:19.7625980Z [2022-11-23 01:23:50,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7626320Z [2022-11-23 01:23:50,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7626535Z [2022-11-23 01:23:50,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7626781Z [2022-11-23 01:23:50,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7627055Z [2022-11-23 01:23:50,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7627369Z [2022-11-23 01:23:50,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7627709Z [2022-11-23 01:23:50,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7628061Z [2022-11-23 01:23:50,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7628433Z [2022-11-23 01:23:50,555] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:30:19.7628529Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7628608Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.7628699Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:30:19.7628788Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:30:19.7628876Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7628963Z               10 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7629052Z               12 CALL_METHOD              2
2022-11-23T01:30:19.7629139Z               14 BUILD_TUPLE              1
2022-11-23T01:30:19.7629203Z               16 RETURN_VALUE
2022-11-23T01:30:19.7629263Z  
2022-11-23T01:30:19.7629269Z 
2022-11-23T01:30:19.7629580Z [2022-11-23 01:23:50,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1199
2022-11-23T01:30:19.7629796Z [2022-11-23 01:23:50,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.7630155Z [2022-11-23 01:23:50,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7630448Z [2022-11-23 01:23:50,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.7630752Z [2022-11-23 01:23:50,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:30:19.7631009Z [2022-11-23 01:23:50,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:30:19.7631289Z [2022-11-23 01:23:50,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:30:19.7631601Z [2022-11-23 01:23:50,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7631827Z [2022-11-23 01:23:50,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.7632071Z [2022-11-23 01:23:50,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7632448Z [2022-11-23 01:23:50,563] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1198>
2022-11-23T01:30:19.7632697Z [2022-11-23 01:23:50,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7632974Z [2022-11-23 01:23:50,563] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7633230Z [2022-11-23 01:23:50,564] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7633481Z [2022-11-23 01:23:50,568] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7633671Z [2022-11-23 01:23:50,568] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7633884Z  __compiled_fn_157 <eval_with_key>.1401 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7633962Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7634045Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7634155Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7634284Z output, output, output, ((div,),), {}
2022-11-23T01:30:19.7634290Z 
2022-11-23T01:30:19.7634621Z [2022-11-23 01:23:50,569] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7634715Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7634806Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7634893Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7634971Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7635057Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7635144Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7635221Z              12 RETURN_VALUE
2022-11-23T01:30:19.7635226Z 
2022-11-23T01:30:19.7635291Z  
2022-11-23T01:30:19.7635616Z [2022-11-23 01:23:50,569] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7635726Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_157)
2022-11-23T01:30:19.7635817Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7635896Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7635973Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7636063Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7636152Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7636228Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7636318Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7636420Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7636509Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7636598Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7636675Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7636762Z              24 BUILD_TUPLE              1
2022-11-23T01:30:19.7636838Z              26 RETURN_VALUE
2022-11-23T01:30:19.7636846Z 
2022-11-23T01:30:19.7636908Z  
2022-11-23T01:30:19.7637090Z [2022-11-23 01:23:50,570] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7637146Z  - 
2022-11-23T01:30:19.7637268Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7637336Z             {
2022-11-23T01:30:19.7637477Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7637664Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7637784Z                 'obj_weakref': None
2022-11-23T01:30:19.7638003Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7638055Z             }
2022-11-23T01:30:19.7638119Z             
2022-11-23T01:30:19.7638186Z  - 
2022-11-23T01:30:19.7638308Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7638370Z             {
2022-11-23T01:30:19.7638510Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7638615Z                 'code': None,
2022-11-23T01:30:19.7638820Z                 'obj_weakref': <weakref at 0x7ff58fecbd30; to 'Tensor' at 0x7ff5a8480400>
2022-11-23T01:30:19.7639100Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7639163Z             }
2022-11-23T01:30:19.7639225Z             
2022-11-23T01:30:19.7639295Z  - 
2022-11-23T01:30:19.7639415Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7639475Z             {
2022-11-23T01:30:19.7639602Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7639706Z                 'code': None,
2022-11-23T01:30:19.7639916Z                 'obj_weakref': <weakref at 0x7ff58fecb1f0; to 'Tensor' at 0x7ff5a84e1350>
2022-11-23T01:30:19.7640167Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7640229Z             }
2022-11-23T01:30:19.7640290Z             
2022-11-23T01:30:19.7640392Z  - 
2022-11-23T01:30:19.7640509Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7640569Z             {
2022-11-23T01:30:19.7640704Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7640874Z                 'code': ['___check_obj_id(model, 140693070725328)'],
2022-11-23T01:30:19.7640990Z                 'obj_weakref': None
2022-11-23T01:30:19.7641218Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7641280Z             }
2022-11-23T01:30:19.7641330Z             
2022-11-23T01:30:19.7641396Z  - 
2022-11-23T01:30:19.7641516Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7641577Z             {
2022-11-23T01:30:19.7641710Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7641922Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7642038Z                 'obj_weakref': None
2022-11-23T01:30:19.7642246Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7642310Z             }
2022-11-23T01:30:19.7642370Z             
2022-11-23T01:30:19.7642437Z  - 
2022-11-23T01:30:19.7642570Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.7642631Z             {
2022-11-23T01:30:19.7642748Z                 'guard_types': None,
2022-11-23T01:30:19.7642841Z                 'code': None,
2022-11-23T01:30:19.7642953Z                 'obj_weakref': None
2022-11-23T01:30:19.7643074Z                 'guarded_class': None
2022-11-23T01:30:19.7643135Z             }
2022-11-23T01:30:19.7643196Z             
2022-11-23T01:30:19.7643454Z [2022-11-23 01:23:50,576] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 156
2022-11-23T01:30:19.7643816Z [2022-11-23 01:23:52,108] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cd/ccdk636dazog25dv5zbsqnisrnf5otdgfv25hmd3xtgp7y4szuhq.py
2022-11-23T01:30:19.7644064Z [2022-11-23 01:23:52,108] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 156
2022-11-23T01:30:19.7644082Z 
2022-11-23T01:30:19.7644162Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7644233Z import torch
2022-11-23T01:30:19.7644302Z import random
2022-11-23T01:30:19.7644415Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7644532Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7644538Z 
2022-11-23T01:30:19.7644612Z aten = torch.ops.aten
2022-11-23T01:30:19.7644743Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7644821Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7644826Z 
2022-11-23T01:30:19.7644841Z 
2022-11-23T01:30:19.7644960Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7645163Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7645279Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7645384Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7645482Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7645540Z {
2022-11-23T01:30:19.7645663Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7645713Z     {
2022-11-23T01:30:19.7645789Z         #pragma omp for 
2022-11-23T01:30:19.7645873Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.7645934Z         {
2022-11-23T01:30:19.7646081Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.7646215Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.7646300Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7646378Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.7646440Z         }
2022-11-23T01:30:19.7646536Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.7646617Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:30:19.7646679Z         {
2022-11-23T01:30:19.7646790Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7646869Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.7646938Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7647017Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.7647077Z         }
2022-11-23T01:30:19.7647136Z     }
2022-11-23T01:30:19.7647193Z }
2022-11-23T01:30:19.7647268Z ''')
2022-11-23T01:30:19.7647273Z 
2022-11-23T01:30:19.7647278Z 
2022-11-23T01:30:19.7647368Z async_compile.wait(globals())
2022-11-23T01:30:19.7647429Z del async_compile
2022-11-23T01:30:19.7647434Z 
2022-11-23T01:30:19.7647501Z def call(args):
2022-11-23T01:30:19.7647576Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7647647Z     args.clear()
2022-11-23T01:30:19.7647843Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7648008Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7648072Z     del arg0_1
2022-11-23T01:30:19.7648129Z     del arg1_1
2022-11-23T01:30:19.7648199Z     return (buf0, )
2022-11-23T01:30:19.7648204Z 
2022-11-23T01:30:19.7648208Z 
2022-11-23T01:30:19.7648282Z if __name__ == "__main__":
2022-11-23T01:30:19.7648396Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7648517Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7648713Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7648905Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7649017Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7649022Z 
2022-11-23T01:30:19.7649026Z 
2022-11-23T01:30:19.7649106Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7649174Z import torch
2022-11-23T01:30:19.7649242Z import random
2022-11-23T01:30:19.7649353Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7649470Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7649477Z 
2022-11-23T01:30:19.7649553Z aten = torch.ops.aten
2022-11-23T01:30:19.7649683Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7649857Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7649861Z 
2022-11-23T01:30:19.7649865Z 
2022-11-23T01:30:19.7649985Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7650189Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7650304Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7650405Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.7650501Z                        long* __restrict__ out_ptr0)
2022-11-23T01:30:19.7650562Z {
2022-11-23T01:30:19.7650656Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7650704Z     {
2022-11-23T01:30:19.7650778Z         #pragma omp for 
2022-11-23T01:30:19.7650859Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:30:19.7650922Z         {
2022-11-23T01:30:19.7650984Z             {
2022-11-23T01:30:19.7651046Z                 {
2022-11-23T01:30:19.7651135Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7651241Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.7651331Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7651413Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.7651477Z                 }
2022-11-23T01:30:19.7651539Z             }
2022-11-23T01:30:19.7651601Z         }
2022-11-23T01:30:19.7651659Z     }
2022-11-23T01:30:19.7651705Z }
2022-11-23T01:30:19.7651784Z ''')
2022-11-23T01:30:19.7651789Z 
2022-11-23T01:30:19.7651793Z 
2022-11-23T01:30:19.7651883Z async_compile.wait(globals())
2022-11-23T01:30:19.7651953Z del async_compile
2022-11-23T01:30:19.7651957Z 
2022-11-23T01:30:19.7652025Z def call(args):
2022-11-23T01:30:19.7652098Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7652167Z     args.clear()
2022-11-23T01:30:19.7652344Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7652535Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7652603Z     del arg0_1
2022-11-23T01:30:19.7652669Z     del arg1_1
2022-11-23T01:30:19.7652740Z     return (buf0, )
2022-11-23T01:30:19.7652745Z 
2022-11-23T01:30:19.7652750Z 
2022-11-23T01:30:19.7652822Z if __name__ == "__main__":
2022-11-23T01:30:19.7652936Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7653055Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7653235Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7653422Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7653535Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7653540Z 
2022-11-23T01:30:19.7653605Z ok (3.254s)
2022-11-23T01:30:19.7653917Z   test_div_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:23:52,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7654235Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7654453Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7654703Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7654978Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7655283Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7655628Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7655954Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7656323Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:30:19.7656560Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7656697Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7656799Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7656886Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7656978Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7657130Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7657221Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7657229Z 
2022-11-23T01:30:19.7657320Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7657408Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7657553Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7657641Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7657783Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7657931Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7658021Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7658026Z 
2022-11-23T01:30:19.7658116Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7658204Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7658292Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7658378Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7658519Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7658713Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7658792Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7658797Z 
2022-11-23T01:30:19.7658884Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7658972Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7659054Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7659059Z 
2022-11-23T01:30:19.7659144Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7659227Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7659311Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7659316Z 
2022-11-23T01:30:19.7659403Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7659465Z               56 RETURN_VALUE
2022-11-23T01:30:19.7659523Z  
2022-11-23T01:30:19.7659528Z 
2022-11-23T01:30:19.7659843Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:30:19.7660061Z [2022-11-23 01:23:52,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7660365Z [2022-11-23 01:23:52,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7660610Z [2022-11-23 01:23:52,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7660883Z [2022-11-23 01:23:52,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7661260Z [2022-11-23 01:23:52,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7661640Z [2022-11-23 01:23:52,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7662045Z [2022-11-23 01:23:52,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7662344Z [2022-11-23 01:23:52,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:30:19.7662586Z [2022-11-23 01:23:52,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7662913Z [2022-11-23 01:23:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7663182Z [2022-11-23 01:23:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7663479Z [2022-11-23 01:23:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7663853Z [2022-11-23 01:23:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7664248Z [2022-11-23 01:23:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7664668Z [2022-11-23 01:23:52,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7664977Z [2022-11-23 01:23:52,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:30:19.7665246Z [2022-11-23 01:23:52,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7665643Z [2022-11-23 01:23:52,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7665942Z [2022-11-23 01:23:52,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7666255Z [2022-11-23 01:23:52,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7666615Z [2022-11-23 01:23:52,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7667031Z [2022-11-23 01:23:52,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7667484Z [2022-11-23 01:23:52,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7667795Z [2022-11-23 01:23:52,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:30:19.7668083Z [2022-11-23 01:23:52,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7668398Z [2022-11-23 01:23:52,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7668760Z [2022-11-23 01:23:52,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7669071Z [2022-11-23 01:23:52,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:30:19.7669388Z [2022-11-23 01:23:52,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7669728Z [2022-11-23 01:23:52,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7670120Z [2022-11-23 01:23:52,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7670425Z [2022-11-23 01:23:52,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:30:19.7670793Z [2022-11-23 01:23:52,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7671037Z [2022-11-23 01:23:52,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7671409Z [2022-11-23 01:23:52,143] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:30:19.7671654Z [2022-11-23 01:23:52,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7671887Z [2022-11-23 01:23:52,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7672139Z [2022-11-23 01:23:52,145] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7672412Z [2022-11-23 01:23:52,153] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7672602Z [2022-11-23 01:23:52,153] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7672734Z  __compiled_fn_158 <eval_with_key>.1407 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7672810Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7672894Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7673078Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7673265Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7673451Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7673635Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7673891Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7674020Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7674028Z 
2022-11-23T01:30:19.7674342Z [2022-11-23 01:23:52,154] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7674434Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7674524Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7674612Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7674708Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7674794Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7674884Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7674960Z              12 RETURN_VALUE
2022-11-23T01:30:19.7674965Z 
2022-11-23T01:30:19.7675013Z  
2022-11-23T01:30:19.7675335Z [2022-11-23 01:23:52,154] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7675445Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_158)
2022-11-23T01:30:19.7675536Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7675630Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7675709Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7675797Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7675885Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7675948Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7676036Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7676140Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7676242Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7676333Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7676412Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7676511Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7676589Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7676666Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7676766Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7676900Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7676976Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7677074Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7677166Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7677229Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7677328Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7677417Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7677494Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7677583Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7677658Z              50 RETURN_VALUE
2022-11-23T01:30:19.7677664Z 
2022-11-23T01:30:19.7677727Z  
2022-11-23T01:30:19.7677897Z [2022-11-23 01:23:52,155] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7677997Z  - 
2022-11-23T01:30:19.7678116Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7678181Z             {
2022-11-23T01:30:19.7678324Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7678511Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7678631Z                 'obj_weakref': None
2022-11-23T01:30:19.7678844Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7678907Z             }
2022-11-23T01:30:19.7678971Z             
2022-11-23T01:30:19.7679042Z  - 
2022-11-23T01:30:19.7679166Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7679232Z             {
2022-11-23T01:30:19.7679374Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7679468Z                 'code': None,
2022-11-23T01:30:19.7679681Z                 'obj_weakref': <weakref at 0x7ff59c14bce0; to 'Tensor' at 0x7ff59c148310>
2022-11-23T01:30:19.7679941Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7680009Z             }
2022-11-23T01:30:19.7680075Z             
2022-11-23T01:30:19.7680145Z  - 
2022-11-23T01:30:19.7680269Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7680319Z             {
2022-11-23T01:30:19.7680462Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7680571Z                 'code': None,
2022-11-23T01:30:19.7680777Z                 'obj_weakref': <weakref at 0x7ff58fe99580; to 'Tensor' at 0x7ff5a8540e00>
2022-11-23T01:30:19.7681030Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7681092Z             }
2022-11-23T01:30:19.7681155Z             
2022-11-23T01:30:19.7681211Z  - 
2022-11-23T01:30:19.7681339Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7681406Z             {
2022-11-23T01:30:19.7681539Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7681707Z                 'code': ['___check_obj_id(model, 140693063590688)'],
2022-11-23T01:30:19.7681825Z                 'obj_weakref': None
2022-11-23T01:30:19.7682049Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7682101Z             }
2022-11-23T01:30:19.7682161Z             
2022-11-23T01:30:19.7682227Z  - 
2022-11-23T01:30:19.7682347Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7682409Z             {
2022-11-23T01:30:19.7682545Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7682757Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7682861Z                 'obj_weakref': None
2022-11-23T01:30:19.7683075Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7683139Z             }
2022-11-23T01:30:19.7683200Z             
2022-11-23T01:30:19.7683266Z  - 
2022-11-23T01:30:19.7683394Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7683455Z             {
2022-11-23T01:30:19.7683589Z                 'guard_types': None,
2022-11-23T01:30:19.7683695Z                 'code': None,
2022-11-23T01:30:19.7683811Z                 'obj_weakref': None
2022-11-23T01:30:19.7683929Z                 'guarded_class': None
2022-11-23T01:30:19.7683990Z             }
2022-11-23T01:30:19.7684051Z             
2022-11-23T01:30:19.7684307Z [2022-11-23 01:23:52,166] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 157
2022-11-23T01:30:19.7684662Z [2022-11-23 01:23:53,637] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j3/cj3avz3haifu5xmlgjkknwlfjifzer7lq3dxsazmcoeedw3bataa.py
2022-11-23T01:30:19.7684924Z [2022-11-23 01:23:53,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 157
2022-11-23T01:30:19.7685186Z [2022-11-23 01:23:53,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7685503Z [2022-11-23 01:23:53,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7685718Z [2022-11-23 01:23:53,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7685971Z [2022-11-23 01:23:53,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7686245Z [2022-11-23 01:23:53,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7686561Z [2022-11-23 01:23:53,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7686903Z [2022-11-23 01:23:53,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7687228Z [2022-11-23 01:23:53,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7687585Z [2022-11-23 01:23:53,642] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:30:19.7687679Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7687768Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7687857Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7687944Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7688034Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7688192Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7688283Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7688291Z 
2022-11-23T01:30:19.7688369Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7688456Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7688545Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7688631Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7688770Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7688927Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7689016Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7689021Z 
2022-11-23T01:30:19.7689110Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7689185Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7689271Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7689357Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7689497Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7689654Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7689743Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7689777Z 
2022-11-23T01:30:19.7689863Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7689937Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7690018Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7690024Z 
2022-11-23T01:30:19.7690108Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7690192Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7690275Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7690280Z 
2022-11-23T01:30:19.7690367Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7690441Z               56 RETURN_VALUE
2022-11-23T01:30:19.7690506Z  
2022-11-23T01:30:19.7690510Z 
2022-11-23T01:30:19.7690816Z [2022-11-23 01:23:53,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:30:19.7691059Z [2022-11-23 01:23:53,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7691364Z [2022-11-23 01:23:53,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7691611Z [2022-11-23 01:23:53,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7691882Z [2022-11-23 01:23:53,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7692192Z [2022-11-23 01:23:53,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7692563Z [2022-11-23 01:23:53,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7692967Z [2022-11-23 01:23:53,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7693277Z [2022-11-23 01:23:53,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:30:19.7693520Z [2022-11-23 01:23:53,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7693848Z [2022-11-23 01:23:53,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7694107Z [2022-11-23 01:23:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7694404Z [2022-11-23 01:23:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7694744Z [2022-11-23 01:23:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7695137Z [2022-11-23 01:23:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7695557Z [2022-11-23 01:23:53,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7695868Z [2022-11-23 01:23:53,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:30:19.7696134Z [2022-11-23 01:23:53,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7696679Z [2022-11-23 01:23:53,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7696983Z [2022-11-23 01:23:53,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7697308Z [2022-11-23 01:23:53,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7697673Z [2022-11-23 01:23:53,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7698092Z [2022-11-23 01:23:53,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7698577Z [2022-11-23 01:23:53,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7698874Z [2022-11-23 01:23:53,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:30:19.7699168Z [2022-11-23 01:23:53,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7699484Z [2022-11-23 01:23:53,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7699847Z [2022-11-23 01:23:53,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7700163Z [2022-11-23 01:23:53,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:30:19.7700477Z [2022-11-23 01:23:53,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7700816Z [2022-11-23 01:23:53,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7701211Z [2022-11-23 01:23:53,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7701517Z [2022-11-23 01:23:53,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:30:19.7701867Z [2022-11-23 01:23:53,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7702110Z [2022-11-23 01:23:53,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7702485Z [2022-11-23 01:23:53,671] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:30:19.7702716Z [2022-11-23 01:23:53,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7702947Z [2022-11-23 01:23:53,671] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7703197Z [2022-11-23 01:23:53,672] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7703446Z [2022-11-23 01:23:53,681] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7703667Z [2022-11-23 01:23:53,681] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7703802Z  __compiled_fn_159 <eval_with_key>.1413 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7703890Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7703976Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7704163Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7704339Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7704525Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7704714Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7704908Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7705068Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7705074Z 
2022-11-23T01:30:19.7705400Z [2022-11-23 01:23:53,681] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7705492Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7705582Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7705656Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7705746Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7705830Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7705916Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7705990Z              12 RETURN_VALUE
2022-11-23T01:30:19.7705995Z 
2022-11-23T01:30:19.7706055Z  
2022-11-23T01:30:19.7706375Z [2022-11-23 01:23:53,682] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7706485Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_159)
2022-11-23T01:30:19.7706563Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7706652Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7706728Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7706814Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7706899Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7706972Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7707057Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7707147Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7707245Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7707331Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7707405Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7707503Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7707592Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7707664Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7707749Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7707836Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7707909Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7708008Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7708092Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7708164Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7708260Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7708334Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7708408Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7708493Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7708566Z              50 RETURN_VALUE
2022-11-23T01:30:19.7708571Z 
2022-11-23T01:30:19.7708631Z  
2022-11-23T01:30:19.7708813Z [2022-11-23 01:23:53,682] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7708883Z  - 
2022-11-23T01:30:19.7708989Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7709051Z             {
2022-11-23T01:30:19.7709217Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7709405Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7709521Z                 'obj_weakref': None
2022-11-23T01:30:19.7709743Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7709805Z             }
2022-11-23T01:30:19.7709856Z             
2022-11-23T01:30:19.7709923Z  - 
2022-11-23T01:30:19.7710046Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7710108Z             {
2022-11-23T01:30:19.7710247Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7710352Z                 'code': None,
2022-11-23T01:30:19.7710565Z                 'obj_weakref': <weakref at 0x7ff5a8c2fb50; to 'Tensor' at 0x7ff59c148310>
2022-11-23T01:30:19.7710838Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7710904Z             }
2022-11-23T01:30:19.7710966Z             
2022-11-23T01:30:19.7711033Z  - 
2022-11-23T01:30:19.7711152Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7711213Z             {
2022-11-23T01:30:19.7711353Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7711446Z                 'code': None,
2022-11-23T01:30:19.7711656Z                 'obj_weakref': <weakref at 0x7ff5a8c2df80; to 'Tensor' at 0x7ff5a8480fe0>
2022-11-23T01:30:19.7711909Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7711970Z             }
2022-11-23T01:30:19.7712032Z             
2022-11-23T01:30:19.7712098Z  - 
2022-11-23T01:30:19.7712226Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7712278Z             {
2022-11-23T01:30:19.7712409Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7712576Z                 'code': ['___check_obj_id(model, 140693063590688)'],
2022-11-23T01:30:19.7712697Z                 'obj_weakref': None
2022-11-23T01:30:19.7712924Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7712985Z             }
2022-11-23T01:30:19.7713049Z             
2022-11-23T01:30:19.7713105Z  - 
2022-11-23T01:30:19.7713225Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7713286Z             {
2022-11-23T01:30:19.7713420Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7713638Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7713752Z                 'obj_weakref': None
2022-11-23T01:30:19.7714048Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7714102Z             }
2022-11-23T01:30:19.7714164Z             
2022-11-23T01:30:19.7714233Z  - 
2022-11-23T01:30:19.7714363Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7714427Z             {
2022-11-23T01:30:19.7714544Z                 'guard_types': None,
2022-11-23T01:30:19.7714650Z                 'code': None,
2022-11-23T01:30:19.7714752Z                 'obj_weakref': None
2022-11-23T01:30:19.7714871Z                 'guarded_class': None
2022-11-23T01:30:19.7714933Z             }
2022-11-23T01:30:19.7714995Z             
2022-11-23T01:30:19.7715251Z [2022-11-23 01:23:53,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 158
2022-11-23T01:30:19.7715619Z [2022-11-23 01:23:55,178] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j2/cj2yrt25ehhgkvfovgbtvv6symdjagdkahim5upbfb7ax5igv6k6.py
2022-11-23T01:30:19.7715878Z [2022-11-23 01:23:55,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 158
2022-11-23T01:30:19.7716114Z [2022-11-23 01:23:55,183] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7716454Z [2022-11-23 01:23:55,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7716672Z [2022-11-23 01:23:55,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7716921Z [2022-11-23 01:23:55,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7717192Z [2022-11-23 01:23:55,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7717508Z [2022-11-23 01:23:55,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7717855Z [2022-11-23 01:23:55,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7718209Z [2022-11-23 01:23:55,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7718583Z [2022-11-23 01:23:55,184] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:30:19.7718679Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7718768Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7718845Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7718932Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7719024Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7719185Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7719275Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7719283Z 
2022-11-23T01:30:19.7719376Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7719471Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7719546Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7719635Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7719779Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7719938Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7720031Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7720036Z 
2022-11-23T01:30:19.7720128Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7720217Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7720306Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7720380Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7720523Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7720684Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7720776Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7720783Z 
2022-11-23T01:30:19.7720872Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7720960Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7721044Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7721049Z 
2022-11-23T01:30:19.7721137Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7721211Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7721294Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7721299Z 
2022-11-23T01:30:19.7721388Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7721465Z               56 RETURN_VALUE
2022-11-23T01:30:19.7721527Z  
2022-11-23T01:30:19.7721532Z 
2022-11-23T01:30:19.7721848Z [2022-11-23 01:23:55,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:30:19.7722068Z [2022-11-23 01:23:55,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7722456Z [2022-11-23 01:23:55,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7722696Z [2022-11-23 01:23:55,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7722968Z [2022-11-23 01:23:55,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7723278Z [2022-11-23 01:23:55,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7723655Z [2022-11-23 01:23:55,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7724087Z [2022-11-23 01:23:55,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7724400Z [2022-11-23 01:23:55,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:30:19.7724645Z [2022-11-23 01:23:55,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7724977Z [2022-11-23 01:23:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7725248Z [2022-11-23 01:23:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7725551Z [2022-11-23 01:23:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7725897Z [2022-11-23 01:23:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7726292Z [2022-11-23 01:23:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7726703Z [2022-11-23 01:23:55,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7727015Z [2022-11-23 01:23:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:30:19.7727285Z [2022-11-23 01:23:55,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7727645Z [2022-11-23 01:23:55,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7727949Z [2022-11-23 01:23:55,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7728276Z [2022-11-23 01:23:55,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7728640Z [2022-11-23 01:23:55,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7729061Z [2022-11-23 01:23:55,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7729539Z [2022-11-23 01:23:55,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7729855Z [2022-11-23 01:23:55,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:30:19.7730141Z [2022-11-23 01:23:55,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7730459Z [2022-11-23 01:23:55,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7730816Z [2022-11-23 01:23:55,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7731142Z [2022-11-23 01:23:55,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:30:19.7731460Z [2022-11-23 01:23:55,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7731804Z [2022-11-23 01:23:55,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7732200Z [2022-11-23 01:23:55,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7732507Z [2022-11-23 01:23:55,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:30:19.7732947Z [2022-11-23 01:23:55,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7733192Z [2022-11-23 01:23:55,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7733565Z [2022-11-23 01:23:55,210] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:30:19.7733809Z [2022-11-23 01:23:55,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7734037Z [2022-11-23 01:23:55,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7734291Z [2022-11-23 01:23:55,212] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7734527Z [2022-11-23 01:23:55,219] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7734714Z [2022-11-23 01:23:55,219] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7734846Z  __compiled_fn_160 <eval_with_key>.1419 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7734935Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7735022Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7735206Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7735399Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7735586Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7735763Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7735955Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7736086Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7736092Z 
2022-11-23T01:30:19.7736599Z [2022-11-23 01:23:55,220] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7736744Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7736838Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7736924Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7737015Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7737086Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7737173Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7737248Z              12 RETURN_VALUE
2022-11-23T01:30:19.7737253Z 
2022-11-23T01:30:19.7737314Z  
2022-11-23T01:30:19.7737643Z [2022-11-23 01:23:55,220] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7737790Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_160)
2022-11-23T01:30:19.7737883Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7737974Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7738039Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7738127Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7738212Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7738286Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7738372Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7738473Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7738572Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7738648Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7738721Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7738820Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7738912Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7738985Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7739081Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7739166Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7739229Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7739325Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7739411Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7739484Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7739581Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7739667Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7739739Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7739813Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7739885Z              50 RETURN_VALUE
2022-11-23T01:30:19.7739891Z 
2022-11-23T01:30:19.7739948Z  
2022-11-23T01:30:19.7740133Z [2022-11-23 01:23:55,220] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7740203Z  - 
2022-11-23T01:30:19.7740319Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7740382Z             {
2022-11-23T01:30:19.7740513Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7740699Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7740815Z                 'obj_weakref': None
2022-11-23T01:30:19.7741038Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7741101Z             }
2022-11-23T01:30:19.7741164Z             
2022-11-23T01:30:19.7741230Z  - 
2022-11-23T01:30:19.7741340Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7741402Z             {
2022-11-23T01:30:19.7741541Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7741645Z                 'code': None,
2022-11-23T01:30:19.7741859Z                 'obj_weakref': <weakref at 0x7ff5a80d0680; to 'Tensor' at 0x7ff5a8480fe0>
2022-11-23T01:30:19.7742113Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7742205Z             }
2022-11-23T01:30:19.7742268Z             
2022-11-23T01:30:19.7742324Z  - 
2022-11-23T01:30:19.7742445Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7742507Z             {
2022-11-23T01:30:19.7742647Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7742752Z                 'code': None,
2022-11-23T01:30:19.7742963Z                 'obj_weakref': <weakref at 0x7ff5a80d0770; to 'Tensor' at 0x7ff5a84e24d0>
2022-11-23T01:30:19.7743213Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7743264Z             }
2022-11-23T01:30:19.7743325Z             
2022-11-23T01:30:19.7743392Z  - 
2022-11-23T01:30:19.7743520Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7743612Z             {
2022-11-23T01:30:19.7743745Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7743900Z                 'code': ['___check_obj_id(model, 140693063590688)'],
2022-11-23T01:30:19.7744017Z                 'obj_weakref': None
2022-11-23T01:30:19.7744246Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7744308Z             }
2022-11-23T01:30:19.7744370Z             
2022-11-23T01:30:19.7744439Z  - 
2022-11-23T01:30:19.7744558Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7744609Z             {
2022-11-23T01:30:19.7744741Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7744956Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7745072Z                 'obj_weakref': None
2022-11-23T01:30:19.7745289Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7745353Z             }
2022-11-23T01:30:19.7745413Z             
2022-11-23T01:30:19.7745469Z  - 
2022-11-23T01:30:19.7745597Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7745659Z             {
2022-11-23T01:30:19.7745776Z                 'guard_types': None,
2022-11-23T01:30:19.7745884Z                 'code': None,
2022-11-23T01:30:19.7745999Z                 'obj_weakref': None
2022-11-23T01:30:19.7746118Z                 'guarded_class': None
2022-11-23T01:30:19.7746168Z             }
2022-11-23T01:30:19.7746227Z             
2022-11-23T01:30:19.7746489Z [2022-11-23 01:23:55,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 159
2022-11-23T01:30:19.7746495Z 
2022-11-23T01:30:19.7746587Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7746654Z import torch
2022-11-23T01:30:19.7746722Z import random
2022-11-23T01:30:19.7746835Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7746943Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7746962Z 
2022-11-23T01:30:19.7747027Z aten = torch.ops.aten
2022-11-23T01:30:19.7747157Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7747249Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7747255Z 
2022-11-23T01:30:19.7747259Z 
2022-11-23T01:30:19.7747393Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7747597Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7747714Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7747820Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7747918Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7748002Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.7748095Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.7748185Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7748279Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:19.7748337Z {
2022-11-23T01:30:19.7748433Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7748494Z     {
2022-11-23T01:30:19.7748588Z         #pragma omp for 
2022-11-23T01:30:19.7748670Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.7748733Z         {
2022-11-23T01:30:19.7748877Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.7748997Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:30:19.7749079Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7749162Z             auto tmp3 = tmp2.floor();
2022-11-23T01:30:19.7749233Z             auto tmp4 = tmp2.trunc();
2022-11-23T01:30:19.7749320Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.7749406Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.7749491Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.7749577Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T01:30:19.7749690Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T01:30:19.7749752Z         }
2022-11-23T01:30:19.7749831Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.7749912Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:19.7749974Z         {
2022-11-23T01:30:19.7750055Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7750135Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:30:19.7750217Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7750306Z             auto tmp3 = std::floor(tmp2);
2022-11-23T01:30:19.7750383Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T01:30:19.7750462Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.7750540Z             out_ptr1[i0] = tmp3;
2022-11-23T01:30:19.7750616Z             out_ptr2[i0] = tmp4;
2022-11-23T01:30:19.7750690Z             out_ptr3[i0] = tmp2;
2022-11-23T01:30:19.7750765Z             out_ptr4[i0] = tmp3;
2022-11-23T01:30:19.7750825Z         }
2022-11-23T01:30:19.7750874Z     }
2022-11-23T01:30:19.7750933Z }
2022-11-23T01:30:19.7751011Z ''')
2022-11-23T01:30:19.7751016Z 
2022-11-23T01:30:19.7751020Z 
2022-11-23T01:30:19.7751107Z async_compile.wait(globals())
2022-11-23T01:30:19.7751182Z del async_compile
2022-11-23T01:30:19.7751187Z 
2022-11-23T01:30:19.7751255Z def call(args):
2022-11-23T01:30:19.7751331Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7751390Z     args.clear()
2022-11-23T01:30:19.7751584Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7751774Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7751963Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7752144Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7752324Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7752582Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7752651Z     del arg0_1
2022-11-23T01:30:19.7752706Z     del arg1_1
2022-11-23T01:30:19.7752802Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7752807Z 
2022-11-23T01:30:19.7752811Z 
2022-11-23T01:30:19.7752886Z if __name__ == "__main__":
2022-11-23T01:30:19.7752999Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7753119Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7753308Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7753492Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7753602Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7753608Z 
2022-11-23T01:30:19.7753612Z 
2022-11-23T01:30:19.7753693Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7753762Z import torch
2022-11-23T01:30:19.7753903Z import random
2022-11-23T01:30:19.7754020Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7754171Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7754176Z 
2022-11-23T01:30:19.7754255Z aten = torch.ops.aten
2022-11-23T01:30:19.7754387Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7754466Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7754483Z 
2022-11-23T01:30:19.7754488Z 
2022-11-23T01:30:19.7754610Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7754816Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7754933Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7755035Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7755131Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7755225Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.7755347Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.7755428Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7755522Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:19.7755582Z {
2022-11-23T01:30:19.7755680Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7755742Z     {
2022-11-23T01:30:19.7755817Z         #pragma omp for 
2022-11-23T01:30:19.7755896Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.7755946Z         {
2022-11-23T01:30:19.7756068Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:30:19.7756197Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.7756280Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7756365Z             auto tmp3 = tmp2.floor();
2022-11-23T01:30:19.7756448Z             auto tmp4 = tmp2.trunc();
2022-11-23T01:30:19.7756536Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.7756625Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.7756700Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.7756788Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T01:30:19.7756874Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T01:30:19.7756934Z         }
2022-11-23T01:30:19.7757023Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.7757102Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:19.7757153Z         {
2022-11-23T01:30:19.7757234Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:30:19.7757315Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.7757400Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7757491Z             auto tmp3 = std::floor(tmp2);
2022-11-23T01:30:19.7757580Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T01:30:19.7757657Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.7757722Z             out_ptr1[i0] = tmp3;
2022-11-23T01:30:19.7757797Z             out_ptr2[i0] = tmp4;
2022-11-23T01:30:19.7757876Z             out_ptr3[i0] = tmp2;
2022-11-23T01:30:19.7757952Z             out_ptr4[i0] = tmp3;
2022-11-23T01:30:19.7758017Z         }
2022-11-23T01:30:19.7758077Z     }
2022-11-23T01:30:19.7758137Z }
2022-11-23T01:30:19.7758203Z ''')
2022-11-23T01:30:19.7758209Z 
2022-11-23T01:30:19.7758224Z 
2022-11-23T01:30:19.7758300Z async_compile.wait(globals())
2022-11-23T01:30:19.7758369Z del async_compile
2022-11-23T01:30:19.7758374Z 
2022-11-23T01:30:19.7758442Z def call(args):
2022-11-23T01:30:19.7758516Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7758585Z     args.clear()
2022-11-23T01:30:19.7758777Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7758962Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7759134Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7759318Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7759508Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7759791Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7759862Z     del arg0_1
2022-11-23T01:30:19.7759930Z     del arg1_1
2022-11-23T01:30:19.7760026Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7760031Z 
2022-11-23T01:30:19.7760036Z 
2022-11-23T01:30:19.7760113Z if __name__ == "__main__":
2022-11-23T01:30:19.7760215Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7760339Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7760524Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7760715Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7760831Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7760866Z 
2022-11-23T01:30:19.7761237Z [2022-11-23 01:23:56,711] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/od/codlnuj56ysnl27knjxwzbt6ba2knrjnw6ms233nsxcgr6tb2gbk.py
2022-11-23T01:30:19.7761504Z [2022-11-23 01:23:56,712] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 159
2022-11-23T01:30:19.7761741Z [2022-11-23 01:23:56,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7762057Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7762259Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7762511Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7762790Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7763115Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7763464Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7763784Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7764157Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:30:19.7764253Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7764346Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7764442Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7764519Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7764615Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7764780Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7764875Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7764880Z 
2022-11-23T01:30:19.7764973Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7765063Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7765153Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7765228Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7765370Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:30:19.7765533Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7765624Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7765631Z 
2022-11-23T01:30:19.7765723Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7765813Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:30:19.7765945Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7766033Z               34 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7766164Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:30:19.7766327Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:30:19.7766421Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.7766426Z 
2022-11-23T01:30:19.7766514Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7766602Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7766685Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.7766690Z 
2022-11-23T01:30:19.7766776Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7766851Z               50 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7766964Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:30:19.7766969Z 
2022-11-23T01:30:19.7767059Z 1173          54 BUILD_TUPLE              5
2022-11-23T01:30:19.7767135Z               56 RETURN_VALUE
2022-11-23T01:30:19.7767197Z  
2022-11-23T01:30:19.7767202Z 
2022-11-23T01:30:19.7767523Z [2022-11-23 01:23:56,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1174
2022-11-23T01:30:19.7767740Z [2022-11-23 01:23:56,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7768042Z [2022-11-23 01:23:56,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7768291Z [2022-11-23 01:23:56,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:30:19.7768550Z [2022-11-23 01:23:56,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7768861Z [2022-11-23 01:23:56,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7769235Z [2022-11-23 01:23:56,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7769632Z [2022-11-23 01:23:56,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:19.7769943Z [2022-11-23 01:23:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1175
2022-11-23T01:30:19.7770189Z [2022-11-23 01:23:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7770517Z [2022-11-23 01:23:56,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7770796Z [2022-11-23 01:23:56,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7771093Z [2022-11-23 01:23:56,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7771430Z [2022-11-23 01:23:56,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7771821Z [2022-11-23 01:23:56,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7772243Z [2022-11-23 01:23:56,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7772573Z [2022-11-23 01:23:56,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1176
2022-11-23T01:30:19.7772844Z [2022-11-23 01:23:56,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7773199Z [2022-11-23 01:23:56,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7773498Z [2022-11-23 01:23:56,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:30:19.7773827Z [2022-11-23 01:23:56,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:30:19.7774220Z [2022-11-23 01:23:56,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7774641Z [2022-11-23 01:23:56,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.7775091Z [2022-11-23 01:23:56,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.7775399Z [2022-11-23 01:23:56,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1177
2022-11-23T01:30:19.7775687Z [2022-11-23 01:23:56,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7776009Z [2022-11-23 01:23:56,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7776368Z [2022-11-23 01:23:56,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7776816Z [2022-11-23 01:23:56,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1178
2022-11-23T01:30:19.7777121Z [2022-11-23 01:23:56,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7777461Z [2022-11-23 01:23:56,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7777862Z [2022-11-23 01:23:56,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7778176Z [2022-11-23 01:23:56,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1173
2022-11-23T01:30:19.7778526Z [2022-11-23 01:23:56,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7778767Z [2022-11-23 01:23:56,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7779144Z [2022-11-23 01:23:56,743] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169160, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1172>
2022-11-23T01:30:19.7779389Z [2022-11-23 01:23:56,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7779677Z [2022-11-23 01:23:56,743] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7779930Z [2022-11-23 01:23:56,745] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7780180Z [2022-11-23 01:23:56,751] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7780355Z [2022-11-23 01:23:56,751] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7780492Z  __compiled_fn_161 <eval_with_key>.1425 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7780579Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7780665Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7780851Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:30:19.7781041Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:30:19.7781264Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:30:19.7781455Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7781637Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7781767Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:30:19.7781772Z 
2022-11-23T01:30:19.7782093Z [2022-11-23 01:23:56,752] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7782184Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7782275Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7782361Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7782455Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7782544Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7782620Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7782694Z              12 RETURN_VALUE
2022-11-23T01:30:19.7782700Z 
2022-11-23T01:30:19.7782762Z  
2022-11-23T01:30:19.7783080Z [2022-11-23 01:23:56,752] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7783184Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_161)
2022-11-23T01:30:19.7783271Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7783360Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7783424Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7783511Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7783597Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7783670Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7783756Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7783859Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7783957Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7784045Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7784108Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7784204Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7784289Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7784364Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7784460Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7784545Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7784620Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7784705Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7784788Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7784860Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7784957Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7785045Z              44 LOAD_CONST               5 (4)
2022-11-23T01:30:19.7785120Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7785230Z              48 BUILD_TUPLE              5
2022-11-23T01:30:19.7785292Z              50 RETURN_VALUE
2022-11-23T01:30:19.7785297Z 
2022-11-23T01:30:19.7785356Z  
2022-11-23T01:30:19.7785538Z [2022-11-23 01:23:56,753] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7785608Z  - 
2022-11-23T01:30:19.7785725Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7785787Z             {
2022-11-23T01:30:19.7785924Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7786096Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7786211Z                 'obj_weakref': None
2022-11-23T01:30:19.7786433Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7786498Z             }
2022-11-23T01:30:19.7786596Z             
2022-11-23T01:30:19.7786662Z  - 
2022-11-23T01:30:19.7786783Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7786834Z             {
2022-11-23T01:30:19.7786976Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7787081Z                 'code': None,
2022-11-23T01:30:19.7787290Z                 'obj_weakref': <weakref at 0x7ff59c18c7c0; to 'Tensor' at 0x7ff5a83c56c0>
2022-11-23T01:30:19.7787544Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7787605Z             }
2022-11-23T01:30:19.7787666Z             
2022-11-23T01:30:19.7787721Z  - 
2022-11-23T01:30:19.7787842Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7787904Z             {
2022-11-23T01:30:19.7788043Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7788148Z                 'code': None,
2022-11-23T01:30:19.7788357Z                 'obj_weakref': <weakref at 0x7ff5a81814e0; to 'Tensor' at 0x7ff5a8480fe0>
2022-11-23T01:30:19.7788611Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7788664Z             }
2022-11-23T01:30:19.7788726Z             
2022-11-23T01:30:19.7788792Z  - 
2022-11-23T01:30:19.7788919Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7788981Z             {
2022-11-23T01:30:19.7789112Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7789279Z                 'code': ['___check_obj_id(model, 140693063590688)'],
2022-11-23T01:30:19.7789384Z                 'obj_weakref': None
2022-11-23T01:30:19.7789619Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7789681Z             }
2022-11-23T01:30:19.7789743Z             
2022-11-23T01:30:19.7789810Z  - 
2022-11-23T01:30:19.7789927Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7789988Z             {
2022-11-23T01:30:19.7790113Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7790326Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7790445Z                 'obj_weakref': None
2022-11-23T01:30:19.7790663Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7790725Z             }
2022-11-23T01:30:19.7790786Z             
2022-11-23T01:30:19.7790853Z  - 
2022-11-23T01:30:19.7790971Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7791031Z             {
2022-11-23T01:30:19.7791151Z                 'guard_types': None,
2022-11-23T01:30:19.7791255Z                 'code': None,
2022-11-23T01:30:19.7791369Z                 'obj_weakref': None
2022-11-23T01:30:19.7791486Z                 'guarded_class': None
2022-11-23T01:30:19.7791547Z             }
2022-11-23T01:30:19.7791596Z             
2022-11-23T01:30:19.7791854Z [2022-11-23 01:23:56,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 160
2022-11-23T01:30:19.7792254Z [2022-11-23 01:23:58,220] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bk/cbkaqqllxd4bagavncs7cz2gturzuw3tru34nbrmmoae5ho6vd4l.py
2022-11-23T01:30:19.7792516Z [2022-11-23 01:23:58,220] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 160
2022-11-23T01:30:19.7792522Z 
2022-11-23T01:30:19.7792615Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7792682Z import torch
2022-11-23T01:30:19.7792749Z import random
2022-11-23T01:30:19.7792863Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7792972Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7792977Z 
2022-11-23T01:30:19.7793053Z aten = torch.ops.aten
2022-11-23T01:30:19.7793183Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7793275Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7793279Z 
2022-11-23T01:30:19.7793315Z 
2022-11-23T01:30:19.7793447Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7793652Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7793769Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7793945Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.7794033Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7794129Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.7794223Z                        long* __restrict__ out_ptr2,
2022-11-23T01:30:19.7794317Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7794410Z                        long* __restrict__ out_ptr4)
2022-11-23T01:30:19.7794470Z {
2022-11-23T01:30:19.7794567Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7794615Z     {
2022-11-23T01:30:19.7794690Z         #pragma omp for 
2022-11-23T01:30:19.7794772Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:19.7794840Z         {
2022-11-23T01:30:19.7794903Z             {
2022-11-23T01:30:19.7794967Z                 {
2022-11-23T01:30:19.7795048Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7795139Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:30:19.7795245Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7795350Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:30:19.7795439Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:30:19.7795690Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:30:19.7795779Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:30:19.7795862Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.7795933Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:30:19.7796013Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:30:19.7796093Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:30:19.7796175Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:30:19.7796238Z                 }
2022-11-23T01:30:19.7796300Z             }
2022-11-23T01:30:19.7796363Z         }
2022-11-23T01:30:19.7796417Z     }
2022-11-23T01:30:19.7796474Z }
2022-11-23T01:30:19.7796551Z ''')
2022-11-23T01:30:19.7796556Z 
2022-11-23T01:30:19.7796560Z 
2022-11-23T01:30:19.7796648Z async_compile.wait(globals())
2022-11-23T01:30:19.7796718Z del async_compile
2022-11-23T01:30:19.7796723Z 
2022-11-23T01:30:19.7796791Z def call(args):
2022-11-23T01:30:19.7796866Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7796924Z     args.clear()
2022-11-23T01:30:19.7797118Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7797307Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7797491Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7797676Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7797860Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7798152Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7798223Z     del arg0_1
2022-11-23T01:30:19.7798278Z     del arg1_1
2022-11-23T01:30:19.7798373Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7798378Z 
2022-11-23T01:30:19.7798382Z 
2022-11-23T01:30:19.7798456Z if __name__ == "__main__":
2022-11-23T01:30:19.7798571Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7798692Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7798878Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7799056Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7799200Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7799205Z 
2022-11-23T01:30:19.7799209Z 
2022-11-23T01:30:19.7799291Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7799360Z import torch
2022-11-23T01:30:19.7799429Z import random
2022-11-23T01:30:19.7799542Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7799662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7799667Z 
2022-11-23T01:30:19.7799742Z aten = torch.ops.aten
2022-11-23T01:30:19.7799873Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7799964Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7799969Z 
2022-11-23T01:30:19.7799973Z 
2022-11-23T01:30:19.7800093Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7800296Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7800413Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7800518Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.7800614Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7800710Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:19.7800803Z                        long* __restrict__ out_ptr2,
2022-11-23T01:30:19.7800897Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.7800976Z                        long* __restrict__ out_ptr4)
2022-11-23T01:30:19.7801034Z {
2022-11-23T01:30:19.7801128Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7801192Z     {
2022-11-23T01:30:19.7801270Z         #pragma omp for 
2022-11-23T01:30:19.7801349Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:19.7801399Z         {
2022-11-23T01:30:19.7801462Z             {
2022-11-23T01:30:19.7801528Z                 {
2022-11-23T01:30:19.7801617Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:30:19.7801706Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:19.7801813Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7801916Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:30:19.7801995Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:30:19.7802241Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:30:19.7802330Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:30:19.7802415Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.7802499Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:30:19.7802584Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:30:19.7802665Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:30:19.7802746Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:30:19.7802799Z                 }
2022-11-23T01:30:19.7802862Z             }
2022-11-23T01:30:19.7802925Z         }
2022-11-23T01:30:19.7802987Z     }
2022-11-23T01:30:19.7803050Z }
2022-11-23T01:30:19.7803135Z ''')
2022-11-23T01:30:19.7803141Z 
2022-11-23T01:30:19.7803145Z 
2022-11-23T01:30:19.7803236Z async_compile.wait(globals())
2022-11-23T01:30:19.7803324Z del async_compile
2022-11-23T01:30:19.7803330Z 
2022-11-23T01:30:19.7803404Z def call(args):
2022-11-23T01:30:19.7803481Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.7803554Z     args.clear()
2022-11-23T01:30:19.7803748Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7803938Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7804125Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7804300Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7804483Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7804740Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.7804838Z     del arg0_1
2022-11-23T01:30:19.7804908Z     del arg1_1
2022-11-23T01:30:19.7805009Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7805014Z 
2022-11-23T01:30:19.7805018Z 
2022-11-23T01:30:19.7805097Z if __name__ == "__main__":
2022-11-23T01:30:19.7805212Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7805322Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7805501Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7805689Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7805807Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.7805812Z 
2022-11-23T01:30:19.7805880Z ok (6.112s)
2022-11-23T01:30:19.7806190Z   test_dropout_cpu (__main__.CpuTests) ... [2022-11-23 01:23:58,225] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn1
2022-11-23T01:30:19.7806513Z [2022-11-23 01:23:58,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3825
2022-11-23T01:30:19.7806733Z [2022-11-23 01:23:58,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.7807099Z [2022-11-23 01:23:58,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7807466Z [2022-11-23 01:23:58,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:19.7807869Z [2022-11-23 01:23:58,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.7808162Z [2022-11-23 01:23:58,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7ff5aefca680>)]
2022-11-23T01:30:19.7808488Z [2022-11-23 01:23:58,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable()]
2022-11-23T01:30:19.7808733Z [2022-11-23 01:23:58,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7808969Z [2022-11-23 01:23:58,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn1
2022-11-23T01:30:19.7809210Z [2022-11-23 01:23:58,229] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.7809445Z [2022-11-23 01:23:58,232] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.7809635Z [2022-11-23 01:23:58,232] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7809774Z  __compiled_fn_162 <eval_with_key>.1431 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7809845Z placeholder, a, a, (), {}
2022-11-23T01:30:19.7810036Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7ff5aab45480>, (a,), {}
2022-11-23T01:30:19.7810151Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:30:19.7810156Z 
2022-11-23T01:30:19.7810481Z [2022-11-23 01:23:58,233] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 
2022-11-23T01:30:19.7810578Z 3825           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7810667Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:30:19.7810767Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:30:19.7810864Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:30:19.7810939Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7811025Z               10 CALL_METHOD              1
2022-11-23T01:30:19.7811125Z               12 RETURN_VALUE
2022-11-23T01:30:19.7811130Z 
2022-11-23T01:30:19.7811189Z  
2022-11-23T01:30:19.7811512Z [2022-11-23 01:23:58,233] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn1 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3823 
2022-11-23T01:30:19.7811622Z 3823           0 LOAD_GLOBAL              4 (__compiled_fn_162)
2022-11-23T01:30:19.7811714Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7811802Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.7811881Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7811954Z                8 RETURN_VALUE
2022-11-23T01:30:19.7811958Z 
2022-11-23T01:30:19.7812018Z  
2022-11-23T01:30:19.7812199Z [2022-11-23 01:23:58,233] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7812270Z  - 
2022-11-23T01:30:19.7812391Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:19.7812457Z             {
2022-11-23T01:30:19.7812590Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7812694Z                 'code': None,
2022-11-23T01:30:19.7812906Z                 'obj_weakref': <weakref at 0x7ff59c1ee6b0; to 'Tensor' at 0x7ff5a819e0c0>
2022-11-23T01:30:19.7813161Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7813225Z             }
2022-11-23T01:30:19.7813287Z             
2022-11-23T01:30:19.7813353Z  - 
2022-11-23T01:30:19.7813474Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.7813535Z             {
2022-11-23T01:30:19.7813654Z                 'guard_types': None,
2022-11-23T01:30:19.7813758Z                 'code': None,
2022-11-23T01:30:19.7813874Z                 'obj_weakref': None
2022-11-23T01:30:19.7813992Z                 'guarded_class': None
2022-11-23T01:30:19.7814057Z             }
2022-11-23T01:30:19.7814106Z             
2022-11-23T01:30:19.7814360Z [2022-11-23 01:23:58,243] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 161
2022-11-23T01:30:19.7819075Z [2022-11-23 01:23:58,243] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:30:19.7819517Z [2022-11-23 01:23:59,699] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gy/cgyozxjecynoouqhku2wr2opwkvq4fd76g2mtltb2w25i2ikzxrp.py
2022-11-23T01:30:19.7819794Z [2022-11-23 01:23:59,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 161
2022-11-23T01:30:19.7820023Z [2022-11-23 01:23:59,702] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn2
2022-11-23T01:30:19.7820344Z [2022-11-23 01:23:59,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3837
2022-11-23T01:30:19.7820565Z [2022-11-23 01:23:59,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.7820929Z [2022-11-23 01:23:59,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7821409Z [2022-11-23 01:23:59,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:19.7821818Z [2022-11-23 01:23:59,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.7822115Z [2022-11-23 01:23:59,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7ff5aefca680>)]
2022-11-23T01:30:19.7822438Z [2022-11-23 01:23:59,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable()]
2022-11-23T01:30:19.7822804Z [2022-11-23 01:23:59,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.7823282Z [2022-11-23 01:23:59,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:30:19.7823532Z [2022-11-23 01:23:59,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7823768Z [2022-11-23 01:23:59,705] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn2
2022-11-23T01:30:19.7823996Z [2022-11-23 01:23:59,706] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.7824234Z [2022-11-23 01:23:59,709] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.7824424Z [2022-11-23 01:23:59,709] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7824564Z  __compiled_fn_163 <eval_with_key>.1437 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7824650Z placeholder, a, a, (), {}
2022-11-23T01:30:19.7824809Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7ff5aab45480>, (a, 0.5, True), {}
2022-11-23T01:30:19.7824923Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:30:19.7824929Z 
2022-11-23T01:30:19.7825256Z [2022-11-23 01:23:59,710] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 
2022-11-23T01:30:19.7825353Z 3837           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7825432Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:30:19.7825535Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:30:19.7825634Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:30:19.7825725Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7825819Z               10 LOAD_CONST               1 (0.5)
2022-11-23T01:30:19.7825911Z               12 LOAD_CONST               2 (True)
2022-11-23T01:30:19.7826002Z               14 CALL_METHOD              3
2022-11-23T01:30:19.7826066Z               16 RETURN_VALUE
2022-11-23T01:30:19.7826071Z 
2022-11-23T01:30:19.7826133Z  
2022-11-23T01:30:19.7826457Z [2022-11-23 01:23:59,710] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn2 /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3835 
2022-11-23T01:30:19.7826566Z 3835           0 LOAD_GLOBAL              4 (__compiled_fn_163)
2022-11-23T01:30:19.7826656Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7826748Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.7826841Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7826917Z                8 RETURN_VALUE
2022-11-23T01:30:19.7826922Z 
2022-11-23T01:30:19.7826969Z  
2022-11-23T01:30:19.7827151Z [2022-11-23 01:23:59,710] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7827223Z  - 
2022-11-23T01:30:19.7827344Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:19.7827409Z             {
2022-11-23T01:30:19.7827583Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7827693Z                 'code': None,
2022-11-23T01:30:19.7827894Z                 'obj_weakref': <weakref at 0x7ff59c1ee6b0; to 'Tensor' at 0x7ff5a819e0c0>
2022-11-23T01:30:19.7828147Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7828213Z             }
2022-11-23T01:30:19.7828277Z             
2022-11-23T01:30:19.7828346Z  - 
2022-11-23T01:30:19.7828480Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.7828546Z             {
2022-11-23T01:30:19.7828653Z                 'guard_types': None,
2022-11-23T01:30:19.7828761Z                 'code': None,
2022-11-23T01:30:19.7828879Z                 'obj_weakref': None
2022-11-23T01:30:19.7829030Z                 'guarded_class': None
2022-11-23T01:30:19.7829093Z             }
2022-11-23T01:30:19.7829157Z             
2022-11-23T01:30:19.7829403Z [2022-11-23 01:23:59,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 162
2022-11-23T01:30:19.7829656Z [2022-11-23 01:23:59,719] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:30:19.7830025Z [2022-11-23 01:23:59,728] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gy/cgyozxjecynoouqhku2wr2opwkvq4fd76g2mtltb2w25i2ikzxrp.py
2022-11-23T01:30:19.7830291Z [2022-11-23 01:23:59,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 162
2022-11-23T01:30:19.7830297Z 
2022-11-23T01:30:19.7830391Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7830460Z import torch
2022-11-23T01:30:19.7830532Z import random
2022-11-23T01:30:19.7830647Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7830772Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7830777Z 
2022-11-23T01:30:19.7830843Z aten = torch.ops.aten
2022-11-23T01:30:19.7830978Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7831070Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7831232Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:30:19.7831237Z 
2022-11-23T01:30:19.7831241Z 
2022-11-23T01:30:19.7831376Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7831580Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7831695Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:30:19.7831800Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7831886Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7831948Z {
2022-11-23T01:30:19.7832045Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7832111Z     {
2022-11-23T01:30:19.7832189Z         #pragma omp for 
2022-11-23T01:30:19.7832273Z         for(long i0=0; i0<1000; i0+=1)
2022-11-23T01:30:19.7832338Z         {
2022-11-23T01:30:19.7832391Z             {
2022-11-23T01:30:19.7832455Z                 {
2022-11-23T01:30:19.7832542Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:19.7832632Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:30:19.7832736Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:19.7832871Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:30:19.7832976Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:30:19.7833054Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:30:19.7833161Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:30:19.7833253Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:30:19.7833357Z                     auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:30:19.7833450Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:19.7833535Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:30:19.7833602Z                 }
2022-11-23T01:30:19.7833681Z             }
2022-11-23T01:30:19.7833745Z         }
2022-11-23T01:30:19.7833903Z     }
2022-11-23T01:30:19.7833966Z }
2022-11-23T01:30:19.7834047Z ''')
2022-11-23T01:30:19.7834052Z 
2022-11-23T01:30:19.7834057Z 
2022-11-23T01:30:19.7834149Z async_compile.wait(globals())
2022-11-23T01:30:19.7834222Z del async_compile
2022-11-23T01:30:19.7834227Z 
2022-11-23T01:30:19.7834284Z def call(args):
2022-11-23T01:30:19.7834354Z     arg0_1, = args
2022-11-23T01:30:19.7834426Z     args.clear()
2022-11-23T01:30:19.7834559Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:30:19.7834759Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7834933Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7835035Z     del arg0_1
2022-11-23T01:30:19.7835094Z     return (buf0, )
2022-11-23T01:30:19.7835115Z 
2022-11-23T01:30:19.7835119Z 
2022-11-23T01:30:19.7835184Z if __name__ == "__main__":
2022-11-23T01:30:19.7835302Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7835424Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7835622Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7835818Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7835925Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.7835932Z 
2022-11-23T01:30:19.7835936Z 
2022-11-23T01:30:19.7836029Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7836101Z import torch
2022-11-23T01:30:19.7836159Z import random
2022-11-23T01:30:19.7836273Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7836395Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7836403Z 
2022-11-23T01:30:19.7836480Z aten = torch.ops.aten
2022-11-23T01:30:19.7836611Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7836705Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7836867Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:30:19.7836872Z 
2022-11-23T01:30:19.7836876Z 
2022-11-23T01:30:19.7837011Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7837203Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7837318Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:30:19.7837421Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7837519Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7837580Z {
2022-11-23T01:30:19.7837676Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7837739Z     {
2022-11-23T01:30:19.7837808Z         #pragma omp for 
2022-11-23T01:30:19.7837891Z         for(long i0=0; i0<1000; i0+=1)
2022-11-23T01:30:19.7837954Z         {
2022-11-23T01:30:19.7838018Z             {
2022-11-23T01:30:19.7838085Z                 {
2022-11-23T01:30:19.7838171Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:19.7838262Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:30:19.7838351Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:19.7838489Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:30:19.7838594Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:30:19.7838688Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:30:19.7838794Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:30:19.7838885Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:30:19.7838989Z                     auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:30:19.7839069Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:19.7839151Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:30:19.7839218Z                 }
2022-11-23T01:30:19.7839281Z             }
2022-11-23T01:30:19.7839372Z         }
2022-11-23T01:30:19.7839434Z     }
2022-11-23T01:30:19.7839499Z }
2022-11-23T01:30:19.7839564Z ''')
2022-11-23T01:30:19.7839569Z 
2022-11-23T01:30:19.7839574Z 
2022-11-23T01:30:19.7839663Z async_compile.wait(globals())
2022-11-23T01:30:19.7839735Z del async_compile
2022-11-23T01:30:19.7839740Z 
2022-11-23T01:30:19.7839810Z def call(args):
2022-11-23T01:30:19.7839878Z     arg0_1, = args
2022-11-23T01:30:19.7839950Z     args.clear()
2022-11-23T01:30:19.7840084Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:30:19.7840267Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7840439Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7840544Z     del arg0_1
2022-11-23T01:30:19.7840617Z     return (buf0, )
2022-11-23T01:30:19.7840621Z 
2022-11-23T01:30:19.7840625Z 
2022-11-23T01:30:19.7840703Z if __name__ == "__main__":
2022-11-23T01:30:19.7840815Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7840938Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7841133Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7841318Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7841425Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.7841430Z 
2022-11-23T01:30:19.7841496Z ok (1.507s)
2022-11-23T01:30:19.7841824Z   test_dropout_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:23:59,731] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.7842143Z [2022-11-23 01:23:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846
2022-11-23T01:30:19.7842366Z [2022-11-23 01:23:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.7842732Z [2022-11-23 01:23:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7843114Z [2022-11-23 01:23:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:19.7843517Z [2022-11-23 01:23:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.7843810Z [2022-11-23 01:23:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7ff5aefca680>)]
2022-11-23T01:30:19.7844120Z [2022-11-23 01:23:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable()]
2022-11-23T01:30:19.7844488Z [2022-11-23 01:23:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.7844892Z [2022-11-23 01:23:59,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:30:19.7845137Z [2022-11-23 01:23:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7845367Z [2022-11-23 01:23:59,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.7845609Z [2022-11-23 01:23:59,735] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.7845847Z [2022-11-23 01:23:59,738] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.7846063Z [2022-11-23 01:23:59,738] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7846201Z  __compiled_fn_164 <eval_with_key>.1443 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7846287Z placeholder, a, a, (), {}
2022-11-23T01:30:19.7846433Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7ff5aab45480>, (a, 0.55, True), {}
2022-11-23T01:30:19.7846545Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:30:19.7846550Z 
2022-11-23T01:30:19.7846875Z [2022-11-23 01:23:59,738] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:30:19.7846972Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7847063Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:30:19.7847195Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:30:19.7847294Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:30:19.7847388Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7847468Z               10 LOAD_CONST               1 (0.55)
2022-11-23T01:30:19.7847557Z               12 LOAD_CONST               2 (True)
2022-11-23T01:30:19.7847645Z               14 CALL_METHOD              3
2022-11-23T01:30:19.7847721Z               16 RETURN_VALUE
2022-11-23T01:30:19.7847726Z 
2022-11-23T01:30:19.7847787Z  
2022-11-23T01:30:19.7848111Z [2022-11-23 01:23:59,738] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:30:19.7848220Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_164)
2022-11-23T01:30:19.7848311Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7848390Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.7848484Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7848561Z                8 RETURN_VALUE
2022-11-23T01:30:19.7848566Z 
2022-11-23T01:30:19.7848627Z  
2022-11-23T01:30:19.7848810Z [2022-11-23 01:23:59,739] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7848882Z  - 
2022-11-23T01:30:19.7849006Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:19.7849059Z             {
2022-11-23T01:30:19.7849200Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7849309Z                 'code': None,
2022-11-23T01:30:19.7849523Z                 'obj_weakref': <weakref at 0x7ff58ff17830; to 'Tensor' at 0x7ff58ffba0c0>
2022-11-23T01:30:19.7849776Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7849842Z             }
2022-11-23T01:30:19.7849907Z             
2022-11-23T01:30:19.7849962Z  - 
2022-11-23T01:30:19.7850094Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.7850161Z             {
2022-11-23T01:30:19.7850283Z                 'guard_types': None,
2022-11-23T01:30:19.7850391Z                 'code': None,
2022-11-23T01:30:19.7850512Z                 'obj_weakref': None
2022-11-23T01:30:19.7850634Z                 'guarded_class': None
2022-11-23T01:30:19.7850684Z             }
2022-11-23T01:30:19.7850749Z             
2022-11-23T01:30:19.7851010Z [2022-11-23 01:23:59,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 163
2022-11-23T01:30:19.7851262Z [2022-11-23 01:23:59,748] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:30:19.7851627Z [2022-11-23 01:24:01,174] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4l/c4loddx5gkectkrxqdxgq6j5fqz7kroliy3hgnf54qmfqrr7rfb4.py
2022-11-23T01:30:19.7851890Z [2022-11-23 01:24:01,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 163
2022-11-23T01:30:19.7852125Z [2022-11-23 01:24:01,177] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.7852471Z [2022-11-23 01:24:01,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3846
2022-11-23T01:30:19.7852676Z [2022-11-23 01:24:01,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.7853033Z [2022-11-23 01:24:01,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7853413Z [2022-11-23 01:24:01,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:19.7853815Z [2022-11-23 01:24:01,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.7854135Z [2022-11-23 01:24:01,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7ff5aefca680>)]
2022-11-23T01:30:19.7854459Z [2022-11-23 01:24:01,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable()]
2022-11-23T01:30:19.7854821Z [2022-11-23 01:24:01,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.7855223Z [2022-11-23 01:24:01,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:30:19.7855466Z [2022-11-23 01:24:01,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7855702Z [2022-11-23 01:24:01,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.7855945Z [2022-11-23 01:24:01,181] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.7856182Z [2022-11-23 01:24:01,184] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.7856359Z [2022-11-23 01:24:01,185] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7856636Z  __compiled_fn_165 <eval_with_key>.1449 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7856722Z placeholder, a, a, (), {}
2022-11-23T01:30:19.7856879Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7ff5aab45480>, (a, 0.55, True), {}
2022-11-23T01:30:19.7856992Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:30:19.7856997Z 
2022-11-23T01:30:19.7857322Z [2022-11-23 01:24:01,185] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:30:19.7857422Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7857514Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:30:19.7857604Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:30:19.7857702Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:30:19.7857792Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7857885Z               10 LOAD_CONST               1 (0.55)
2022-11-23T01:30:19.7857976Z               12 LOAD_CONST               2 (True)
2022-11-23T01:30:19.7858065Z               14 CALL_METHOD              3
2022-11-23T01:30:19.7858142Z               16 RETURN_VALUE
2022-11-23T01:30:19.7858147Z 
2022-11-23T01:30:19.7858195Z  
2022-11-23T01:30:19.7858516Z [2022-11-23 01:24:01,185] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3844 
2022-11-23T01:30:19.7858622Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_165)
2022-11-23T01:30:19.7858717Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7858808Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.7858963Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7859041Z                8 RETURN_VALUE
2022-11-23T01:30:19.7859046Z 
2022-11-23T01:30:19.7859106Z  
2022-11-23T01:30:19.7859277Z [2022-11-23 01:24:01,185] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7859347Z  - 
2022-11-23T01:30:19.7859467Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:19.7859534Z             {
2022-11-23T01:30:19.7859677Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7859785Z                 'code': None,
2022-11-23T01:30:19.7859998Z                 'obj_weakref': <weakref at 0x7ff58f91e9d0; to 'Tensor' at 0x7ff5a819fd30>
2022-11-23T01:30:19.7860240Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7860338Z             }
2022-11-23T01:30:19.7860402Z             
2022-11-23T01:30:19.7860472Z  - 
2022-11-23T01:30:19.7860606Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.7860673Z             {
2022-11-23T01:30:19.7860795Z                 'guard_types': None,
2022-11-23T01:30:19.7860890Z                 'code': None,
2022-11-23T01:30:19.7861009Z                 'obj_weakref': None
2022-11-23T01:30:19.7861132Z                 'guarded_class': None
2022-11-23T01:30:19.7861195Z             }
2022-11-23T01:30:19.7861259Z             
2022-11-23T01:30:19.7861518Z [2022-11-23 01:24:01,196] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 164
2022-11-23T01:30:19.7861771Z [2022-11-23 01:24:01,196] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:30:19.7862124Z [2022-11-23 01:24:01,204] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4l/c4loddx5gkectkrxqdxgq6j5fqz7kroliy3hgnf54qmfqrr7rfb4.py
2022-11-23T01:30:19.7862391Z [2022-11-23 01:24:01,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 164
2022-11-23T01:30:19.7862397Z 
2022-11-23T01:30:19.7862494Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7862563Z import torch
2022-11-23T01:30:19.7862634Z import random
2022-11-23T01:30:19.7862752Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7862875Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7862880Z 
2022-11-23T01:30:19.7862960Z aten = torch.ops.aten
2022-11-23T01:30:19.7863081Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7863174Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7863335Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:30:19.7863340Z 
2022-11-23T01:30:19.7863344Z 
2022-11-23T01:30:19.7863477Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7863682Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7863800Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:30:19.7863908Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7864007Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7864055Z {
2022-11-23T01:30:19.7864153Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7864216Z     {
2022-11-23T01:30:19.7864294Z         #pragma omp for 
2022-11-23T01:30:19.7864378Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.7864442Z         {
2022-11-23T01:30:19.7864506Z             {
2022-11-23T01:30:19.7864558Z                 {
2022-11-23T01:30:19.7864645Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:19.7864738Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:30:19.7864842Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:19.7864981Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:30:19.7865090Z                     auto tmp3 = static_cast<float>(0.55);
2022-11-23T01:30:19.7865183Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:30:19.7865301Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:30:19.7865396Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:30:19.7865508Z                     auto tmp8 = static_cast<float>(2.2222222222222223);
2022-11-23T01:30:19.7865599Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:19.7865684Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:30:19.7865750Z                 }
2022-11-23T01:30:19.7865815Z             }
2022-11-23T01:30:19.7865864Z         }
2022-11-23T01:30:19.7865926Z     }
2022-11-23T01:30:19.7865987Z }
2022-11-23T01:30:19.7866064Z ''')
2022-11-23T01:30:19.7866068Z 
2022-11-23T01:30:19.7866073Z 
2022-11-23T01:30:19.7866162Z async_compile.wait(globals())
2022-11-23T01:30:19.7866235Z del async_compile
2022-11-23T01:30:19.7866269Z 
2022-11-23T01:30:19.7866342Z def call(args):
2022-11-23T01:30:19.7866398Z     arg0_1, = args
2022-11-23T01:30:19.7866475Z     args.clear()
2022-11-23T01:30:19.7866607Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:30:19.7866805Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7866978Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7867048Z     del arg0_1
2022-11-23T01:30:19.7867120Z     return (buf0, )
2022-11-23T01:30:19.7867125Z 
2022-11-23T01:30:19.7867129Z 
2022-11-23T01:30:19.7867205Z if __name__ == "__main__":
2022-11-23T01:30:19.7867306Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7867430Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7867625Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7867823Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7867931Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.7867936Z 
2022-11-23T01:30:19.7867941Z 
2022-11-23T01:30:19.7868034Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7868105Z import torch
2022-11-23T01:30:19.7868175Z import random
2022-11-23T01:30:19.7868277Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7868396Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7868401Z 
2022-11-23T01:30:19.7868479Z aten = torch.ops.aten
2022-11-23T01:30:19.7868612Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7868707Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7868866Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:30:19.7868871Z 
2022-11-23T01:30:19.7868875Z 
2022-11-23T01:30:19.7869007Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7869214Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7869317Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:30:19.7869424Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7869523Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.7869584Z {
2022-11-23T01:30:19.7869681Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7869743Z     {
2022-11-23T01:30:19.7869820Z         #pragma omp for 
2022-11-23T01:30:19.7869891Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.7869955Z         {
2022-11-23T01:30:19.7870019Z             {
2022-11-23T01:30:19.7870084Z                 {
2022-11-23T01:30:19.7870171Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:19.7870262Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:30:19.7870365Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:19.7870490Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:30:19.7870596Z                     auto tmp3 = static_cast<float>(0.55);
2022-11-23T01:30:19.7870688Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:30:19.7870823Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:30:19.7870914Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:30:19.7871028Z                     auto tmp8 = static_cast<float>(2.2222222222222223);
2022-11-23T01:30:19.7871118Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:19.7871190Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:30:19.7871256Z                 }
2022-11-23T01:30:19.7871319Z             }
2022-11-23T01:30:19.7871385Z         }
2022-11-23T01:30:19.7871445Z     }
2022-11-23T01:30:19.7871505Z }
2022-11-23T01:30:19.7871584Z ''')
2022-11-23T01:30:19.7871589Z 
2022-11-23T01:30:19.7871593Z 
2022-11-23T01:30:19.7871669Z async_compile.wait(globals())
2022-11-23T01:30:19.7871742Z del async_compile
2022-11-23T01:30:19.7871776Z 
2022-11-23T01:30:19.7871848Z def call(args):
2022-11-23T01:30:19.7871918Z     arg0_1, = args
2022-11-23T01:30:19.7871990Z     args.clear()
2022-11-23T01:30:19.7872122Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:30:19.7872321Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7872493Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.7872549Z     del arg0_1
2022-11-23T01:30:19.7872622Z     return (buf0, )
2022-11-23T01:30:19.7872626Z 
2022-11-23T01:30:19.7872630Z 
2022-11-23T01:30:19.7872706Z if __name__ == "__main__":
2022-11-23T01:30:19.7872820Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7872942Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7873137Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7873336Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7873444Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.7873449Z 
2022-11-23T01:30:19.7873502Z ok (1.477s)
2022-11-23T01:30:19.7873906Z   test_dtype_mismatch_issue_cpu (__main__.CpuTests) ... [2022-11-23 01:24:01,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.7874230Z [2022-11-23 01:24:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4613
2022-11-23T01:30:19.7874451Z [2022-11-23 01:24:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.7874816Z [2022-11-23 01:24:01,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7875201Z [2022-11-23 01:24:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:19.7875605Z [2022-11-23 01:24:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.7875875Z [2022-11-23 01:24:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in function pad>)]
2022-11-23T01:30:19.7876174Z [2022-11-23 01:24:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), TensorVariable()]
2022-11-23T01:30:19.7876513Z [2022-11-23 01:24:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7876888Z [2022-11-23 01:24:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.7877239Z [2022-11-23 01:24:01,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.7877486Z [2022-11-23 01:24:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST attn [TensorVariable()]
2022-11-23T01:30:19.7877797Z [2022-11-23 01:24:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4614
2022-11-23T01:30:19.7878009Z [2022-11-23 01:24:01,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST attn []
2022-11-23T01:30:19.7878251Z [2022-11-23 01:24:01,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable()]
2022-11-23T01:30:19.7878531Z [2022-11-23 01:24:01,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), softmax)]
2022-11-23T01:30:19.7878852Z [2022-11-23 01:24:01,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int)]
2022-11-23T01:30:19.7879253Z [2022-11-23 01:24:01,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:19.7879497Z [2022-11-23 01:24:01,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.7879729Z [2022-11-23 01:24:01,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.7879954Z [2022-11-23 01:24:01,216] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.7880193Z [2022-11-23 01:24:01,221] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.7880380Z [2022-11-23 01:24:01,221] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7880516Z  __compiled_fn_166 <eval_with_key>.1455 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7880604Z placeholder, x, x, (), {}
2022-11-23T01:30:19.7880782Z call_function, pad, <built-in function pad>, (x, [0, 1]), {}
2022-11-23T01:30:19.7880939Z call_method, softmax, softmax, (pad,), {'dim': -1}
2022-11-23T01:30:19.7881040Z output, output, output, ((softmax,),), {}
2022-11-23T01:30:19.7881047Z 
2022-11-23T01:30:19.7881361Z [2022-11-23 01:24:01,221] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 
2022-11-23T01:30:19.7881462Z 4613           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7881553Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:30:19.7881656Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:30:19.7881750Z                6 LOAD_METHOD              3 (pad)
2022-11-23T01:30:19.7881840Z                8 LOAD_FAST                0 (x)
2022-11-23T01:30:19.7881930Z               10 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7882022Z               12 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7882097Z               14 BUILD_LIST               2
2022-11-23T01:30:19.7882186Z               16 CALL_METHOD              2
2022-11-23T01:30:19.7882279Z               18 STORE_FAST               1 (attn)
2022-11-23T01:30:19.7882284Z 
2022-11-23T01:30:19.7882375Z 4614          20 LOAD_FAST                1 (attn)
2022-11-23T01:30:19.7882469Z               22 LOAD_ATTR                4 (softmax)
2022-11-23T01:30:19.7882606Z               24 LOAD_CONST               3 (-1)
2022-11-23T01:30:19.7882749Z               26 LOAD_CONST               4 (('dim',))
2022-11-23T01:30:19.7882828Z               28 CALL_FUNCTION_KW         1
2022-11-23T01:30:19.7882907Z               30 RETURN_VALUE
2022-11-23T01:30:19.7882912Z 
2022-11-23T01:30:19.7882974Z  
2022-11-23T01:30:19.7883300Z [2022-11-23 01:24:01,221] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4612 
2022-11-23T01:30:19.7883411Z 4612           0 LOAD_GLOBAL              5 (__compiled_fn_166)
2022-11-23T01:30:19.7883539Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:19.7883631Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.7883722Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.7883786Z                8 RETURN_VALUE
2022-11-23T01:30:19.7883791Z 
2022-11-23T01:30:19.7883854Z  
2022-11-23T01:30:19.7884039Z [2022-11-23 01:24:01,222] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7884109Z  - 
2022-11-23T01:30:19.7884226Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:19.7884292Z             {
2022-11-23T01:30:19.7884435Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7884528Z                 'code': None,
2022-11-23T01:30:19.7884741Z                 'obj_weakref': <weakref at 0x7ff5a8c2cdb0; to 'Tensor' at 0x7ff59c0604a0>
2022-11-23T01:30:19.7884996Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7885090Z             }
2022-11-23T01:30:19.7885154Z             
2022-11-23T01:30:19.7885225Z  - 
2022-11-23T01:30:19.7885359Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.7885410Z             {
2022-11-23T01:30:19.7885530Z                 'guard_types': None,
2022-11-23T01:30:19.7885637Z                 'code': None,
2022-11-23T01:30:19.7885755Z                 'obj_weakref': None
2022-11-23T01:30:19.7885876Z                 'guarded_class': None
2022-11-23T01:30:19.7885939Z             }
2022-11-23T01:30:19.7886004Z             
2022-11-23T01:30:19.7886250Z [2022-11-23 01:24:01,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 165
2022-11-23T01:30:19.7886608Z [2022-11-23 01:24:02,704] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/le/clecvej5c34j32lgqgai453uyn4ju747u22rjndmsgjfejlqznbj.py
2022-11-23T01:30:19.7886875Z [2022-11-23 01:24:02,705] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 165
2022-11-23T01:30:19.7886881Z 
2022-11-23T01:30:19.7886978Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7887049Z import torch
2022-11-23T01:30:19.7887118Z import random
2022-11-23T01:30:19.7887232Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7887354Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7887359Z 
2022-11-23T01:30:19.7887423Z aten = torch.ops.aten
2022-11-23T01:30:19.7887561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7887654Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7887659Z 
2022-11-23T01:30:19.7887663Z 
2022-11-23T01:30:19.7887798Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7888006Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7888124Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.7888233Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7888332Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7888417Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.7888479Z {
2022-11-23T01:30:19.7888566Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:19.7888663Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7888729Z     {
2022-11-23T01:30:19.7888808Z         #pragma omp for 
2022-11-23T01:30:19.7888891Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:30:19.7888941Z         {
2022-11-23T01:30:19.7889005Z             {
2022-11-23T01:30:19.7889072Z                 {
2022-11-23T01:30:19.7889328Z                     float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:19.7889426Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T01:30:19.7889496Z                     {
2022-11-23T01:30:19.7889565Z                         {
2022-11-23T01:30:19.7889663Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T01:30:19.7889771Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T01:30:19.7889900Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:19.7889991Z                             float tmp3 = 0.0;
2022-11-23T01:30:19.7890067Z                             if(tmp2)
2022-11-23T01:30:19.7890137Z                             {
2022-11-23T01:30:19.7890244Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T01:30:19.7890317Z                                 tmp3 = tmp4;
2022-11-23T01:30:19.7890388Z                             }
2022-11-23T01:30:19.7890496Z                             tmp5 = std::max(tmp5, tmp3);
2022-11-23T01:30:19.7890566Z                         }
2022-11-23T01:30:19.7890633Z                     }
2022-11-23T01:30:19.7890718Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:30:19.7890785Z                 }
2022-11-23T01:30:19.7890836Z             }
2022-11-23T01:30:19.7890927Z         }
2022-11-23T01:30:19.7891006Z         #pragma omp for 
2022-11-23T01:30:19.7891089Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:30:19.7891153Z         {
2022-11-23T01:30:19.7891222Z             {
2022-11-23T01:30:19.7891288Z                 {
2022-11-23T01:30:19.7891356Z                     float tmp8 = 0;
2022-11-23T01:30:19.7891447Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T01:30:19.7891515Z                     {
2022-11-23T01:30:19.7891583Z                         {
2022-11-23T01:30:19.7891683Z                             auto tmp5 = out_ptr0[i0];
2022-11-23T01:30:19.7891789Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T01:30:19.7891895Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T01:30:19.7891977Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:19.7892063Z                             float tmp3 = 0.0;
2022-11-23T01:30:19.7892140Z                             if(tmp2)
2022-11-23T01:30:19.7892213Z                             {
2022-11-23T01:30:19.7892319Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T01:30:19.7892410Z                                 tmp3 = tmp4;
2022-11-23T01:30:19.7892481Z                             }
2022-11-23T01:30:19.7892614Z                             auto tmp6 = tmp3 - tmp5;
2022-11-23T01:30:19.7892715Z                             auto tmp7 = std::exp(tmp6);
2022-11-23T01:30:19.7892814Z                             out_ptr1[i1 + (64*i0)] = tmp7;
2022-11-23T01:30:19.7892897Z                             tmp8 += tmp7;
2022-11-23T01:30:19.7892964Z                         }
2022-11-23T01:30:19.7893032Z                     }
2022-11-23T01:30:19.7893115Z                     out_ptr2[i0] = tmp8;
2022-11-23T01:30:19.7893168Z                 }
2022-11-23T01:30:19.7893232Z             }
2022-11-23T01:30:19.7893296Z         }
2022-11-23T01:30:19.7893373Z         #pragma omp for 
2022-11-23T01:30:19.7893454Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:30:19.7893519Z         {
2022-11-23T01:30:19.7893590Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:19.7893654Z             {
2022-11-23T01:30:19.7893798Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (64*i0));
2022-11-23T01:30:19.7893923Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:30:19.7894011Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7894119Z                 tmp2.store(in_out_ptr0 + (8*i1) + (64*i0));
2022-11-23T01:30:19.7894184Z             }
2022-11-23T01:30:19.7894276Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.7894349Z             for(long i1=64; i1<64; i1+=1)
2022-11-23T01:30:19.7894414Z             {
2022-11-23T01:30:19.7894511Z                 auto tmp0 = out_ptr1[i1 + (64*i0)];
2022-11-23T01:30:19.7894597Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:30:19.7894684Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.7894780Z                 in_out_ptr0[i1 + (64*i0)] = tmp2;
2022-11-23T01:30:19.7894845Z             }
2022-11-23T01:30:19.7894895Z         }
2022-11-23T01:30:19.7894959Z     }
2022-11-23T01:30:19.7895020Z }
2022-11-23T01:30:19.7895128Z ''')
2022-11-23T01:30:19.7895134Z 
2022-11-23T01:30:19.7895138Z 
2022-11-23T01:30:19.7895229Z async_compile.wait(globals())
2022-11-23T01:30:19.7895302Z del async_compile
2022-11-23T01:30:19.7895307Z 
2022-11-23T01:30:19.7895378Z def call(args):
2022-11-23T01:30:19.7895434Z     arg0_1, = args
2022-11-23T01:30:19.7895506Z     args.clear()
2022-11-23T01:30:19.7895720Z     buf0 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7895933Z     buf1 = empty_strided((128, 32, 64), (2048, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7896143Z     buf2 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7896229Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:30:19.7896557Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.7896733Z     del arg0_1
2022-11-23T01:30:19.7896792Z     return (buf3, )
2022-11-23T01:30:19.7896800Z 
2022-11-23T01:30:19.7896804Z 
2022-11-23T01:30:19.7896881Z if __name__ == "__main__":
2022-11-23T01:30:19.7896997Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7897120Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7897345Z     arg0_1 = rand_strided((128, 32, 63), (2016, 63, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7897453Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.7897458Z 
2022-11-23T01:30:19.7897525Z ok (1.503s)
2022-11-23T01:30:19.7897826Z   test_elu_cpu (__main__.CpuTests) ... [2022-11-23 01:24:02,713] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7898132Z [2022-11-23 01:24:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7898354Z [2022-11-23 01:24:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7898608Z [2022-11-23 01:24:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7898885Z [2022-11-23 01:24:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7899205Z [2022-11-23 01:24:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7899550Z [2022-11-23 01:24:02,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7899872Z [2022-11-23 01:24:02,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7900250Z [2022-11-23 01:24:02,714] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d112600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105> 
2022-11-23T01:30:19.7900346Z  2106           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7900440Z                2 LOAD_METHOD              1 (elu)
2022-11-23T01:30:19.7900521Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.7900621Z                6 LOAD_CONST               1 (1.6732632423543772)
2022-11-23T01:30:19.7900720Z                8 LOAD_CONST               2 (1.0507009873554805)
2022-11-23T01:30:19.7900809Z               10 CALL_METHOD              3
2022-11-23T01:30:19.7900898Z               12 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7900973Z               14 BINARY_ADD
2022-11-23T01:30:19.7901067Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7901145Z               18 LOAD_METHOD              1 (elu)
2022-11-23T01:30:19.7901166Z 
2022-11-23T01:30:19.7901241Z 2107          20 LOAD_FAST                0 (x)
2022-11-23T01:30:19.7901329Z               22 LOAD_CONST               4 (1)
2022-11-23T01:30:19.7901457Z               24 BINARY_ADD
2022-11-23T01:30:19.7901546Z               26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7901632Z               28 LOAD_CONST               5 (3)
2022-11-23T01:30:19.7901720Z               30 LOAD_CONST               6 (4)
2022-11-23T01:30:19.7901724Z 
2022-11-23T01:30:19.7901813Z 2106          32 CALL_METHOD              4
2022-11-23T01:30:19.7901888Z               34 BUILD_TUPLE              2
2022-11-23T01:30:19.7901963Z               36 RETURN_VALUE
2022-11-23T01:30:19.7902025Z  
2022-11-23T01:30:19.7902029Z 
2022-11-23T01:30:19.7902347Z [2022-11-23 01:24:02,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T01:30:19.7902563Z [2022-11-23 01:24:02,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7902898Z [2022-11-23 01:24:02,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7903148Z [2022-11-23 01:24:02,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.elu)]
2022-11-23T01:30:19.7903440Z [2022-11-23 01:24:02,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.6732632423543772 [TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:30:19.7903773Z [2022-11-23 01:24:02,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0507009873554805 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.7904120Z [2022-11-23 01:24:02,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:30:19.7904360Z [2022-11-23 01:24:02,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.7904646Z [2022-11-23 01:24:02,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7904889Z [2022-11-23 01:24:02,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.7905220Z [2022-11-23 01:24:02,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7905532Z [2022-11-23 01:24:02,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2107
2022-11-23T01:30:19.7905808Z [2022-11-23 01:24:02,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.elu)]
2022-11-23T01:30:19.7906110Z [2022-11-23 01:24:02,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:30:19.7906462Z [2022-11-23 01:24:02,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7906766Z [2022-11-23 01:24:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:30:19.7907101Z [2022-11-23 01:24:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.7907464Z [2022-11-23 01:24:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.7907776Z [2022-11-23 01:24:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2106
2022-11-23T01:30:19.7908226Z [2022-11-23 01:24:02,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.7908498Z [2022-11-23 01:24:02,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7908745Z [2022-11-23 01:24:02,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7909125Z [2022-11-23 01:24:02,732] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d112600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2105>
2022-11-23T01:30:19.7909369Z [2022-11-23 01:24:02,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7909603Z [2022-11-23 01:24:02,732] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7909893Z [2022-11-23 01:24:02,733] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7910143Z [2022-11-23 01:24:02,739] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7910335Z [2022-11-23 01:24:02,739] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7910457Z  __compiled_fn_167 <eval_with_key>.1461 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7910547Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7910670Z call_function, elu, aten.elu, (ex_0_, 1.6732632423543772, 1.0507009873554805), {}
2022-11-23T01:30:19.7910837Z call_function, add, <built-in function add>, (elu, 2), {}
2022-11-23T01:30:19.7911010Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.7911119Z call_function, elu_1, aten.elu, (add_1, 2, 3, 4), {}
2022-11-23T01:30:19.7911221Z output, output, output, ((add, elu_1),), {}
2022-11-23T01:30:19.7911229Z 
2022-11-23T01:30:19.7911555Z [2022-11-23 01:24:02,739] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7911637Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7911728Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7911814Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7911907Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7911993Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7912081Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7912157Z              12 RETURN_VALUE
2022-11-23T01:30:19.7912162Z 
2022-11-23T01:30:19.7912210Z  
2022-11-23T01:30:19.7912532Z [2022-11-23 01:24:02,739] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7912642Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_167)
2022-11-23T01:30:19.7912735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7912825Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7912904Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7912992Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7913096Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7913185Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7913273Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7913350Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.7913450Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7913537Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7913612Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7913699Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.7913761Z              26 RETURN_VALUE
2022-11-23T01:30:19.7913766Z 
2022-11-23T01:30:19.7913910Z  
2022-11-23T01:30:19.7914097Z [2022-11-23 01:24:02,740] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7914171Z  - 
2022-11-23T01:30:19.7914325Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7914392Z             {
2022-11-23T01:30:19.7914534Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7914708Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7914829Z                 'obj_weakref': None
2022-11-23T01:30:19.7915054Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7915120Z             }
2022-11-23T01:30:19.7915183Z             
2022-11-23T01:30:19.7915253Z  - 
2022-11-23T01:30:19.7915377Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7915429Z             {
2022-11-23T01:30:19.7915571Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7915676Z                 'code': None,
2022-11-23T01:30:19.7915921Z                 'obj_weakref': <weakref at 0x7ff58fd24b30; to 'Tensor' at 0x7ff59c1ba9d0>
2022-11-23T01:30:19.7916176Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7916240Z             }
2022-11-23T01:30:19.7916303Z             
2022-11-23T01:30:19.7916359Z  - 
2022-11-23T01:30:19.7916489Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7916552Z             {
2022-11-23T01:30:19.7916687Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7916856Z                 'code': ['___check_obj_id(model, 140692862618208)'],
2022-11-23T01:30:19.7916978Z                 'obj_weakref': None
2022-11-23T01:30:19.7917207Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7917260Z             }
2022-11-23T01:30:19.7917324Z             
2022-11-23T01:30:19.7917393Z  - 
2022-11-23T01:30:19.7917513Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7917578Z             {
2022-11-23T01:30:19.7917712Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7917933Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7918038Z                 'obj_weakref': None
2022-11-23T01:30:19.7918257Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7918322Z             }
2022-11-23T01:30:19.7918386Z             
2022-11-23T01:30:19.7918454Z  - 
2022-11-23T01:30:19.7918587Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7918652Z             {
2022-11-23T01:30:19.7918758Z                 'guard_types': None,
2022-11-23T01:30:19.7918864Z                 'code': None,
2022-11-23T01:30:19.7918980Z                 'obj_weakref': None
2022-11-23T01:30:19.7919105Z                 'guarded_class': None
2022-11-23T01:30:19.7919170Z             }
2022-11-23T01:30:19.7919233Z             
2022-11-23T01:30:19.7919492Z [2022-11-23 01:24:02,754] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 166
2022-11-23T01:30:19.7919701Z [2022-11-23 01:24:02,757] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:30:19.7919790Z   target: aten.expm1.default
2022-11-23T01:30:19.7919881Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:30:19.7919955Z     Pointwise(
2022-11-23T01:30:19.7920043Z       'cpu',
2022-11-23T01:30:19.7920118Z       torch.float32,
2022-11-23T01:30:19.7920236Z       load(arg0_1, i1 + 16 * i0) * constant(1.0, torch.float32),
2022-11-23T01:30:19.7920296Z       ranges=[16, 16],
2022-11-23T01:30:19.7920374Z       origins={mul_1, arg0_1}
2022-11-23T01:30:19.7920436Z     )
2022-11-23T01:30:19.7920499Z   ))
2022-11-23T01:30:19.7920806Z [2022-11-23 01:24:02,757] torch._inductor.lowering: [WARNING] make_fallback(aten.expm1.default): a decomposition exists, we should switch to it
2022-11-23T01:30:19.7921062Z [2022-11-23 01:24:02,760] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:30:19.7921317Z [2022-11-23 01:24:02,766] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:30:19.7921729Z [2022-11-23 01:24:04,368] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu75w5uh7bd2owlbwssrbf5bcmmh7rchudzibfvlvah722njs2om.py
2022-11-23T01:30:19.7921993Z [2022-11-23 01:24:04,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 166
2022-11-23T01:30:19.7921999Z 
2022-11-23T01:30:19.7922092Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7922163Z import torch
2022-11-23T01:30:19.7922232Z import random
2022-11-23T01:30:19.7922348Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7922468Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7922473Z 
2022-11-23T01:30:19.7922551Z aten = torch.ops.aten
2022-11-23T01:30:19.7922671Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7922792Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7922797Z 
2022-11-23T01:30:19.7922801Z 
2022-11-23T01:30:19.7922937Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7923157Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7923262Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.7923361Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7923456Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.7923519Z {
2022-11-23T01:30:19.7923615Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7923676Z     {
2022-11-23T01:30:19.7923751Z         #pragma omp for 
2022-11-23T01:30:19.7923820Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.7923881Z         {
2022-11-23T01:30:19.7924017Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.7924152Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:30:19.7924237Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.7924366Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.7924450Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:19.7924567Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:30:19.7924647Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:19.7924737Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.7924825Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.7924887Z         }
2022-11-23T01:30:19.7924979Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.7925058Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:19.7925108Z         {
2022-11-23T01:30:19.7925188Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7925288Z             auto tmp1 = static_cast<float>(1.0);
2022-11-23T01:30:19.7925370Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.7925470Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:19.7925553Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:19.7925653Z             auto tmp5 = static_cast<float>(4);
2022-11-23T01:30:19.7925723Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:19.7925803Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.7925885Z             out_ptr1[i0] = tmp6;
2022-11-23T01:30:19.7925948Z         }
2022-11-23T01:30:19.7926010Z     }
2022-11-23T01:30:19.7926071Z }
2022-11-23T01:30:19.7926150Z ''')
2022-11-23T01:30:19.7926155Z 
2022-11-23T01:30:19.7926160Z 
2022-11-23T01:30:19.7926280Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:30:19.7926488Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7926604Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.7926707Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:19.7926811Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:30:19.7926877Z {
2022-11-23T01:30:19.7926975Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7927038Z     {
2022-11-23T01:30:19.7927133Z         #pragma omp for 
2022-11-23T01:30:19.7927218Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:19.7927282Z         {
2022-11-23T01:30:19.7927347Z             {
2022-11-23T01:30:19.7927414Z                 {
2022-11-23T01:30:19.7927505Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7927588Z                     auto tmp5 = in_out_ptr0[i0];
2022-11-23T01:30:19.7927685Z                     auto tmp16 = in_out_ptr1[i0];
2022-11-23T01:30:19.7927789Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:30:19.7927880Z                     auto tmp2 = tmp0 > tmp1;
2022-11-23T01:30:19.7927994Z                     auto tmp3 = static_cast<float>(1.0507009873554805);
2022-11-23T01:30:19.7928085Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:30:19.7928226Z                     auto tmp6 = static_cast<float>(1.7580993408473766);
2022-11-23T01:30:19.7928316Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:30:19.7928403Z                     auto tmp8 = tmp2 ? tmp4 : tmp7;
2022-11-23T01:30:19.7928504Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:30:19.7928598Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:19.7928701Z                     auto tmp11 = static_cast<float>(1);
2022-11-23T01:30:19.7928793Z                     auto tmp12 = tmp0 + tmp11;
2022-11-23T01:30:19.7928885Z                     auto tmp13 = tmp12 > tmp1;
2022-11-23T01:30:19.7928987Z                     auto tmp14 = static_cast<float>(3);
2022-11-23T01:30:19.7929067Z                     auto tmp15 = tmp12 * tmp14;
2022-11-23T01:30:19.7929168Z                     auto tmp17 = static_cast<float>(6);
2022-11-23T01:30:19.7929258Z                     auto tmp18 = tmp16 * tmp17;
2022-11-23T01:30:19.7929354Z                     auto tmp19 = tmp13 ? tmp15 : tmp18;
2022-11-23T01:30:19.7929448Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:30:19.7929535Z                     in_out_ptr1[i0] = tmp19;
2022-11-23T01:30:19.7929601Z                 }
2022-11-23T01:30:19.7929653Z             }
2022-11-23T01:30:19.7929718Z         }
2022-11-23T01:30:19.7929780Z     }
2022-11-23T01:30:19.7929842Z }
2022-11-23T01:30:19.7929922Z ''')
2022-11-23T01:30:19.7929927Z 
2022-11-23T01:30:19.7929932Z 
2022-11-23T01:30:19.7930023Z async_compile.wait(globals())
2022-11-23T01:30:19.7930096Z del async_compile
2022-11-23T01:30:19.7930100Z 
2022-11-23T01:30:19.7930159Z def call(args):
2022-11-23T01:30:19.7930228Z     arg0_1, = args
2022-11-23T01:30:19.7930305Z     args.clear()
2022-11-23T01:30:19.7930507Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7930700Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7930864Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:19.7930985Z     buf1 = torch.ops.aten.expm1.default(buf0)
2022-11-23T01:30:19.7931037Z     del buf0
2022-11-23T01:30:19.7931106Z     buf2 = buf1
2022-11-23T01:30:19.7931205Z     assert_size_stride(buf2, (16, 16), (16, 1))
2022-11-23T01:30:19.7931272Z     del buf1
2022-11-23T01:30:19.7931386Z     buf4 = torch.ops.aten.expm1.default(buf3)
2022-11-23T01:30:19.7931448Z     del buf3
2022-11-23T01:30:19.7931513Z     buf5 = buf4
2022-11-23T01:30:19.7931597Z     assert_size_stride(buf5, (16, 16), (16, 1))
2022-11-23T01:30:19.7931659Z     del buf4
2022-11-23T01:30:19.7931740Z     buf6 = buf2; del buf2  # reuse
2022-11-23T01:30:19.7931820Z     buf7 = buf5; del buf5  # reuse
2022-11-23T01:30:19.7931974Z     kernel_cpp_1(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:30:19.7932040Z     del arg0_1
2022-11-23T01:30:19.7932115Z     return (buf6, buf7, )
2022-11-23T01:30:19.7932120Z 
2022-11-23T01:30:19.7932126Z 
2022-11-23T01:30:19.7932200Z if __name__ == "__main__":
2022-11-23T01:30:19.7932300Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7932448Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7932650Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7932757Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.7932761Z 
2022-11-23T01:30:19.7932828Z ok (1.660s)
2022-11-23T01:30:19.7933142Z   test_embedding_bag_cpu (__main__.CpuTests) ... [2022-11-23 01:24:04,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7933455Z [2022-11-23 01:24:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7933669Z [2022-11-23 01:24:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7933911Z [2022-11-23 01:24:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7934219Z [2022-11-23 01:24:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7934537Z [2022-11-23 01:24:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7934880Z [2022-11-23 01:24:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7935200Z [2022-11-23 01:24:04,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7935570Z [2022-11-23 01:24:04,375] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1139f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303> 
2022-11-23T01:30:19.7935666Z  2304           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.7935769Z                2 LOAD_METHOD              1 (_embedding_bag)
2022-11-23T01:30:19.7935859Z                4 LOAD_FAST                0 (w)
2022-11-23T01:30:19.7935936Z                6 LOAD_FAST                1 (i)
2022-11-23T01:30:19.7936023Z                8 LOAD_FAST                2 (o)
2022-11-23T01:30:19.7936114Z               10 LOAD_CONST               1 (False)
2022-11-23T01:30:19.7936199Z               12 LOAD_CONST               2 (0)
2022-11-23T01:30:19.7936290Z               14 LOAD_CONST               1 (False)
2022-11-23T01:30:19.7936378Z               16 LOAD_CONST               0 (None)
2022-11-23T01:30:19.7936668Z               18 CALL_METHOD              7
2022-11-23T01:30:19.7936755Z               20 RETURN_VALUE
2022-11-23T01:30:19.7936804Z  
2022-11-23T01:30:19.7936810Z 
2022-11-23T01:30:19.7937129Z [2022-11-23 01:24:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2304
2022-11-23T01:30:19.7937348Z [2022-11-23 01:24:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.7937671Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _embedding_bag [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.7937934Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten._embedding_bag)]
2022-11-23T01:30:19.7938226Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [TorchVariable(aten._embedding_bag), TensorVariable()]
2022-11-23T01:30:19.7938542Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST o [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7938899Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7939340Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.7939775Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:30:19.7940244Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:19.7940763Z [2022-11-23 01:24:04,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:30:19.7941032Z [2022-11-23 01:24:04,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7941410Z [2022-11-23 01:24:04,383] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1139f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2303>
2022-11-23T01:30:19.7941651Z [2022-11-23 01:24:04,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7941886Z [2022-11-23 01:24:04,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7942135Z [2022-11-23 01:24:04,385] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7942381Z [2022-11-23 01:24:04,389] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7942570Z [2022-11-23 01:24:04,389] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7942703Z  __compiled_fn_168 <eval_with_key>.1467 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7942795Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7942869Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7942950Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.7943110Z call_function, _embedding_bag, aten._embedding_bag, (ex_0_, ex_1_, ex_2_, False, 0, False, None), {}
2022-11-23T01:30:19.7943312Z call_function, getitem, <built-in function getitem>, (_embedding_bag, 0), {}
2022-11-23T01:30:19.7943517Z call_function, getitem_1, <built-in function getitem>, (_embedding_bag, 1), {}
2022-11-23T01:30:19.7943719Z call_function, getitem_2, <built-in function getitem>, (_embedding_bag, 2), {}
2022-11-23T01:30:19.7943919Z call_function, getitem_3, <built-in function getitem>, (_embedding_bag, 3), {}
2022-11-23T01:30:19.7944053Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:30:19.7944061Z 
2022-11-23T01:30:19.7944374Z [2022-11-23 01:24:04,390] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7944465Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7944554Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7944637Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7944731Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7944813Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7944899Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7944972Z              12 RETURN_VALUE
2022-11-23T01:30:19.7944978Z 
2022-11-23T01:30:19.7945025Z  
2022-11-23T01:30:19.7945343Z [2022-11-23 01:24:04,390] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7945451Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_168)
2022-11-23T01:30:19.7945539Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7945675Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7945753Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7945840Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7945914Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7945987Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7946072Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7946156Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7946230Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.7946316Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.7946416Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7946505Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7946591Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7946694Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7946795Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7946883Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7946958Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.7947056Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7947146Z              38 LOAD_CONST               3 (2)
2022-11-23T01:30:19.7947208Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.7947305Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7947391Z              44 LOAD_CONST               4 (3)
2022-11-23T01:30:19.7947464Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.7947548Z              48 BUILD_TUPLE              4
2022-11-23T01:30:19.7947625Z              50 RETURN_VALUE
2022-11-23T01:30:19.7947631Z 
2022-11-23T01:30:19.7947692Z  
2022-11-23T01:30:19.7947862Z [2022-11-23 01:24:04,391] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7947931Z  - 
2022-11-23T01:30:19.7948049Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7948113Z             {
2022-11-23T01:30:19.7948251Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7948436Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.7948554Z                 'obj_weakref': None
2022-11-23T01:30:19.7948765Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7948827Z             }
2022-11-23T01:30:19.7948888Z             
2022-11-23T01:30:19.7948955Z  - 
2022-11-23T01:30:19.7949076Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7949138Z             {
2022-11-23T01:30:19.7949277Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7949370Z                 'code': None,
2022-11-23T01:30:19.7949580Z                 'obj_weakref': <weakref at 0x7ff58ff89300; to 'Tensor' at 0x7ff5a83c5bc0>
2022-11-23T01:30:19.7949835Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7949898Z             }
2022-11-23T01:30:19.7949964Z             
2022-11-23T01:30:19.7950031Z  - 
2022-11-23T01:30:19.7950150Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7950200Z             {
2022-11-23T01:30:19.7950339Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7950443Z                 'code': None,
2022-11-23T01:30:19.7950656Z                 'obj_weakref': <weakref at 0x7ff58ff88f90; to 'Tensor' at 0x7ff58fd2b920>
2022-11-23T01:30:19.7950909Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7950971Z             }
2022-11-23T01:30:19.7951033Z             
2022-11-23T01:30:19.7951089Z  - 
2022-11-23T01:30:19.7951208Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.7951270Z             {
2022-11-23T01:30:19.7951409Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7951517Z                 'code': None,
2022-11-23T01:30:19.7951754Z                 'obj_weakref': <weakref at 0x7ff5a8180590; to 'Tensor' at 0x7ff58fe58a90>
2022-11-23T01:30:19.7952004Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7952053Z             }
2022-11-23T01:30:19.7952113Z             
2022-11-23T01:30:19.7952181Z  - 
2022-11-23T01:30:19.7952310Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.7952371Z             {
2022-11-23T01:30:19.7952502Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7952670Z                 'code': ['___check_obj_id(model, 140693065978000)'],
2022-11-23T01:30:19.7952775Z                 'obj_weakref': None
2022-11-23T01:30:19.7953003Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.7953066Z             }
2022-11-23T01:30:19.7953156Z             
2022-11-23T01:30:19.7953223Z  - 
2022-11-23T01:30:19.7953343Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7953404Z             {
2022-11-23T01:30:19.7953528Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7953744Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7953929Z                 'obj_weakref': None
2022-11-23T01:30:19.7954149Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7954211Z             }
2022-11-23T01:30:19.7954273Z             
2022-11-23T01:30:19.7954341Z  - 
2022-11-23T01:30:19.7954458Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.7954518Z             {
2022-11-23T01:30:19.7954635Z                 'guard_types': None,
2022-11-23T01:30:19.7954740Z                 'code': None,
2022-11-23T01:30:19.7954856Z                 'obj_weakref': None
2022-11-23T01:30:19.7954976Z                 'guarded_class': None
2022-11-23T01:30:19.7955040Z             }
2022-11-23T01:30:19.7955090Z             
2022-11-23T01:30:19.7955352Z [2022-11-23 01:24:04,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 167
2022-11-23T01:30:19.7955583Z [2022-11-23 01:24:04,400] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag
2022-11-23T01:30:19.7955946Z [2022-11-23 01:24:04,402] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i5/ci5acztwicuxzag22xkote3ktqanke7teylb5er5jz3r5t5ybjuf.py
2022-11-23T01:30:19.7956208Z [2022-11-23 01:24:04,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 167
2022-11-23T01:30:19.7956213Z 
2022-11-23T01:30:19.7956305Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7956373Z import torch
2022-11-23T01:30:19.7956443Z import random
2022-11-23T01:30:19.7956545Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7956664Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7956673Z 
2022-11-23T01:30:19.7956748Z aten = torch.ops.aten
2022-11-23T01:30:19.7956880Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7956972Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7956978Z 
2022-11-23T01:30:19.7956983Z 
2022-11-23T01:30:19.7957069Z async_compile.wait(globals())
2022-11-23T01:30:19.7957138Z del async_compile
2022-11-23T01:30:19.7957143Z 
2022-11-23T01:30:19.7957212Z def call(args):
2022-11-23T01:30:19.7957281Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.7957350Z     args.clear()
2022-11-23T01:30:19.7957461Z     buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1)
2022-11-23T01:30:19.7957527Z     del arg0_1
2022-11-23T01:30:19.7957592Z     del arg1_1
2022-11-23T01:30:19.7957655Z     del arg2_1
2022-11-23T01:30:19.7957710Z     buf1 = buf0[0]
2022-11-23T01:30:19.7957806Z     assert_size_stride(buf1, (3, 4), (4, 1))
2022-11-23T01:30:19.7957874Z     buf2 = buf0[1]
2022-11-23T01:30:19.7957967Z     assert_size_stride(buf2, (0, ), (1, ))
2022-11-23T01:30:19.7958034Z     buf3 = buf0[2]
2022-11-23T01:30:19.7958124Z     assert_size_stride(buf3, (3, ), (1, ))
2022-11-23T01:30:19.7958189Z     buf4 = buf0[3]
2022-11-23T01:30:19.7958302Z     assert_size_stride(buf4, (3, ), (1, ))
2022-11-23T01:30:19.7958366Z     del buf0
2022-11-23T01:30:19.7958451Z     return (buf1, buf2, buf3, buf4, )
2022-11-23T01:30:19.7958455Z 
2022-11-23T01:30:19.7958459Z 
2022-11-23T01:30:19.7958533Z if __name__ == "__main__":
2022-11-23T01:30:19.7958644Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7958764Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7958963Z     arg0_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7959149Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7959324Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7959445Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.7959479Z 
2022-11-23T01:30:19.7959545Z ok (0.034s)
2022-11-23T01:30:19.7959856Z   test_embedding_cpu (__main__.CpuTests) ... [2022-11-23 01:24:04,407] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7960172Z [2022-11-23 01:24:04,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7960387Z [2022-11-23 01:24:04,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7960626Z [2022-11-23 01:24:04,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.7960891Z [2022-11-23 01:24:04,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.7961197Z [2022-11-23 01:24:04,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7961521Z [2022-11-23 01:24:04,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7961828Z [2022-11-23 01:24:04,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7962207Z [2022-11-23 01:24:04,411] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.7962297Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.7962384Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.7962459Z               4 RETURN_VALUE
2022-11-23T01:30:19.7962520Z  
2022-11-23T01:30:19.7962526Z 
2022-11-23T01:30:19.7962835Z [2022-11-23 01:24:04,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.7963043Z [2022-11-23 01:24:04,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.7963272Z [2022-11-23 01:24:04,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.7963516Z [2022-11-23 01:24:04,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7963900Z [2022-11-23 01:24:04,412] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.7964138Z [2022-11-23 01:24:04,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7964369Z [2022-11-23 01:24:04,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7964618Z [2022-11-23 01:24:04,413] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7964869Z [2022-11-23 01:24:04,417] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7965082Z [2022-11-23 01:24:04,417] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7965215Z  __compiled_fn_169 <eval_with_key>.1473 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7965293Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7965390Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.7965490Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:30:19.7965588Z output, output, output, ((model_1,),), {}
2022-11-23T01:30:19.7965594Z 
2022-11-23T01:30:19.7965923Z [2022-11-23 01:24:04,418] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7966015Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7966106Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7966223Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7966303Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7966392Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7966480Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7966558Z              12 RETURN_VALUE
2022-11-23T01:30:19.7966563Z 
2022-11-23T01:30:19.7966623Z  
2022-11-23T01:30:19.7966944Z [2022-11-23 01:24:04,418] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7967054Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_169)
2022-11-23T01:30:19.7967143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7967222Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7967300Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7967386Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.7967492Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7967595Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7967686Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7967762Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.7967837Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.7967911Z              20 RETURN_VALUE
2022-11-23T01:30:19.7967916Z 
2022-11-23T01:30:19.7967979Z  
2022-11-23T01:30:19.7968159Z [2022-11-23 01:24:04,418] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7968230Z  - 
2022-11-23T01:30:19.7968349Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7968416Z             {
2022-11-23T01:30:19.7968543Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7968730Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.7968850Z                 'obj_weakref': None
2022-11-23T01:30:19.7969078Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7969142Z             }
2022-11-23T01:30:19.7969208Z             
2022-11-23T01:30:19.7969279Z  - 
2022-11-23T01:30:19.7969389Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7969452Z             {
2022-11-23T01:30:19.7969594Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7969702Z                 'code': None,
2022-11-23T01:30:19.7969918Z                 'obj_weakref': <weakref at 0x7ff58fe5bba0; to 'Tensor' at 0x7ff58fd24130>
2022-11-23T01:30:19.7970170Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7970234Z             }
2022-11-23T01:30:19.7970284Z             
2022-11-23T01:30:19.7970355Z  - 
2022-11-23T01:30:19.7970474Z             local 'model' NN_MODULE
2022-11-23T01:30:19.7970538Z             {
2022-11-23T01:30:19.7970672Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.7970843Z                 'code': ['___check_obj_id(model, 140692862609312)'],
2022-11-23T01:30:19.7971092Z                 'obj_weakref': <weakref at 0x7ff58fd25ee0; to 'Sequential' at 0x7ff59c1927a0>
2022-11-23T01:30:19.7971326Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.7971377Z             }
2022-11-23T01:30:19.7971441Z             
2022-11-23T01:30:19.7971511Z  - 
2022-11-23T01:30:19.7971635Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.7971699Z             {
2022-11-23T01:30:19.7971835Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.7972042Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.7972159Z                 'obj_weakref': None
2022-11-23T01:30:19.7972382Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.7972446Z             }
2022-11-23T01:30:19.7972540Z             
2022-11-23T01:30:19.7972606Z  - 
2022-11-23T01:30:19.7972748Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.7972798Z             {
2022-11-23T01:30:19.7972917Z                 'guard_types': None,
2022-11-23T01:30:19.7973020Z                 'code': None,
2022-11-23T01:30:19.7973135Z                 'obj_weakref': None
2022-11-23T01:30:19.7973253Z                 'guarded_class': None
2022-11-23T01:30:19.7973313Z             }
2022-11-23T01:30:19.7973373Z             
2022-11-23T01:30:19.7973428Z  - 
2022-11-23T01:30:19.7973571Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.7973633Z             {
2022-11-23T01:30:19.7973749Z                 'guard_types': None,
2022-11-23T01:30:19.7973856Z                 'code': None,
2022-11-23T01:30:19.7973971Z                 'obj_weakref': None
2022-11-23T01:30:19.7974088Z                 'guarded_class': None
2022-11-23T01:30:19.7974137Z             }
2022-11-23T01:30:19.7974197Z             
2022-11-23T01:30:19.7974267Z  - 
2022-11-23T01:30:19.7974408Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:30:19.7974469Z             {
2022-11-23T01:30:19.7974595Z                 'guard_types': None,
2022-11-23T01:30:19.7974688Z                 'code': None,
2022-11-23T01:30:19.7974802Z                 'obj_weakref': None
2022-11-23T01:30:19.7974920Z                 'guarded_class': None
2022-11-23T01:30:19.7974982Z             }
2022-11-23T01:30:19.7975043Z             
2022-11-23T01:30:19.7975305Z [2022-11-23 01:24:04,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 168
2022-11-23T01:30:19.7975674Z [2022-11-23 01:24:05,924] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yp/cypdojjpq3tpkalb6d23trbugyrssbaawyn6vrpqmwmh4tq7yf4e.py
2022-11-23T01:30:19.7975938Z [2022-11-23 01:24:05,924] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 168
2022-11-23T01:30:19.7975944Z 
2022-11-23T01:30:19.7976026Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.7976093Z import torch
2022-11-23T01:30:19.7976160Z import random
2022-11-23T01:30:19.7976278Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.7976399Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.7976530Z 
2022-11-23T01:30:19.7976608Z aten = torch.ops.aten
2022-11-23T01:30:19.7976741Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.7976831Z async_compile = AsyncCompile()
2022-11-23T01:30:19.7976836Z 
2022-11-23T01:30:19.7976841Z 
2022-11-23T01:30:19.7976963Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.7977167Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.7977283Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.7977386Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.7977485Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.7977582Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:30:19.7977674Z                        long* __restrict__ out_ptr2)
2022-11-23T01:30:19.7977733Z {
2022-11-23T01:30:19.7977864Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.7977927Z     {
2022-11-23T01:30:19.7978003Z         #pragma omp for 
2022-11-23T01:30:19.7978083Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.7978148Z         {
2022-11-23T01:30:19.7978225Z             #pragma GCC ivdep
2022-11-23T01:30:19.7978294Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.7978355Z             {
2022-11-23T01:30:19.7978419Z                 {
2022-11-23T01:30:19.7978486Z                     {
2022-11-23T01:30:19.7978579Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7978681Z                         auto tmp1 = in_ptr1[i1 + (4*tmp0)];
2022-11-23T01:30:19.7978777Z                         auto tmp2 = tmp1 * (tmp1>0);
2022-11-23T01:30:19.7978859Z                         out_ptr0[i1 + (4*i0)] = tmp2;
2022-11-23T01:30:19.7978971Z                     }
2022-11-23T01:30:19.7979033Z                 }
2022-11-23T01:30:19.7979096Z             }
2022-11-23T01:30:19.7979162Z         }
2022-11-23T01:30:19.7979237Z         #pragma omp for 
2022-11-23T01:30:19.7979317Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.7979366Z         {
2022-11-23T01:30:19.7979428Z             {
2022-11-23T01:30:19.7979493Z                 {
2022-11-23T01:30:19.7979584Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:30:19.7979687Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:30:19.7979777Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:30:19.7979860Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.7979911Z                 }
2022-11-23T01:30:19.7979974Z             }
2022-11-23T01:30:19.7980035Z         }
2022-11-23T01:30:19.7980110Z         #pragma omp for 
2022-11-23T01:30:19.7980190Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.7980254Z         {
2022-11-23T01:30:19.7980304Z             {
2022-11-23T01:30:19.7980365Z                 {
2022-11-23T01:30:19.7980455Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.7980561Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:19.7980664Z                     auto tmp2 = static_cast<long>(tmp1);
2022-11-23T01:30:19.7980745Z                     out_ptr2[i0] = tmp2;
2022-11-23T01:30:19.7980807Z                 }
2022-11-23T01:30:19.7980858Z             }
2022-11-23T01:30:19.7980917Z         }
2022-11-23T01:30:19.7980977Z     }
2022-11-23T01:30:19.7981035Z }
2022-11-23T01:30:19.7981117Z ''')
2022-11-23T01:30:19.7981122Z 
2022-11-23T01:30:19.7981126Z 
2022-11-23T01:30:19.7981214Z async_compile.wait(globals())
2022-11-23T01:30:19.7981284Z del async_compile
2022-11-23T01:30:19.7981288Z 
2022-11-23T01:30:19.7981345Z def call(args):
2022-11-23T01:30:19.7981429Z     primals_1, primals_2 = args
2022-11-23T01:30:19.7981498Z     args.clear()
2022-11-23T01:30:19.7981703Z     buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7981898Z     buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.7982086Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7982304Z     kernel_cpp_0(c_void_p(primals_2.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.7982375Z     del primals_1
2022-11-23T01:30:19.7982432Z     del primals_2
2022-11-23T01:30:19.7982512Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.7982517Z 
2022-11-23T01:30:19.7982521Z 
2022-11-23T01:30:19.7982595Z if __name__ == "__main__":
2022-11-23T01:30:19.7982707Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.7982828Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.7983032Z     primals_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.7983230Z     primals_2 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.7983454Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:30:19.7983461Z 
2022-11-23T01:30:19.7983546Z ok (1.522s)
2022-11-23T01:30:19.7983868Z   test_exp_cpu (__main__.CpuTests) ... [2022-11-23 01:24:05,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.7984183Z [2022-11-23 01:24:05,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.7984399Z [2022-11-23 01:24:05,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.7984653Z [2022-11-23 01:24:05,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.7984930Z [2022-11-23 01:24:05,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.7985282Z [2022-11-23 01:24:05,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7985626Z [2022-11-23 01:24:05,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7985946Z [2022-11-23 01:24:05,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.7986319Z [2022-11-23 01:24:05,932] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000> 
2022-11-23T01:30:19.7986404Z  1001           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7986498Z                2 LOAD_METHOD              1 (exp)
2022-11-23T01:30:19.7986588Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7986679Z                6 CALL_METHOD              1
2022-11-23T01:30:19.7986772Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.7986863Z               10 LOAD_METHOD              1 (exp)
2022-11-23T01:30:19.7986949Z               12 LOAD_FAST                0 (a)
2022-11-23T01:30:19.7987024Z               14 LOAD_FAST                1 (b)
2022-11-23T01:30:19.7987095Z               16 BINARY_ADD
2022-11-23T01:30:19.7987181Z               18 CALL_METHOD              1
2022-11-23T01:30:19.7987267Z               20 BUILD_TUPLE              2
2022-11-23T01:30:19.7987341Z               22 RETURN_VALUE
2022-11-23T01:30:19.7987404Z  
2022-11-23T01:30:19.7987409Z 
2022-11-23T01:30:19.7987723Z [2022-11-23 01:24:05,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1001
2022-11-23T01:30:19.7987938Z [2022-11-23 01:24:05,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.7988292Z [2022-11-23 01:24:05,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7988608Z [2022-11-23 01:24:05,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.7988955Z [2022-11-23 01:24:05,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.7989201Z [2022-11-23 01:24:05,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.7989595Z [2022-11-23 01:24:05,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.7989938Z [2022-11-23 01:24:05,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.7990346Z [2022-11-23 01:24:05,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.7990750Z [2022-11-23 01:24:05,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7991123Z [2022-11-23 01:24:05,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.7991388Z [2022-11-23 01:24:05,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.7991660Z [2022-11-23 01:24:05,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7992037Z [2022-11-23 01:24:05,938] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1000>
2022-11-23T01:30:19.7992278Z [2022-11-23 01:24:05,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.7992497Z [2022-11-23 01:24:05,938] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.7992749Z [2022-11-23 01:24:05,940] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.7992991Z [2022-11-23 01:24:05,947] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.7993177Z [2022-11-23 01:24:05,948] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.7993314Z  __compiled_fn_170 <eval_with_key>.1484 opcode, name, target, args, kwargs
2022-11-23T01:30:19.7993401Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.7993487Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.7993705Z call_function, exp, <built-in method exp of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.7993942Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.7994252Z call_function, exp_1, <built-in method exp of type object at 0x7ff5d7c59c60>, (add,), {}
2022-11-23T01:30:19.7994403Z output, output, output, ((exp, exp_1),), {}
2022-11-23T01:30:19.7994409Z 
2022-11-23T01:30:19.7994798Z [2022-11-23 01:24:05,948] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7994891Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.7994982Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7995070Z               4 BUILD_MAP                0
2022-11-23T01:30:19.7995161Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.7995232Z               8 DICT_MERGE               1
2022-11-23T01:30:19.7995323Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.7995397Z              12 RETURN_VALUE
2022-11-23T01:30:19.7995403Z 
2022-11-23T01:30:19.7995463Z  
2022-11-23T01:30:19.7995788Z [2022-11-23 01:24:05,948] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.7995896Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_170)
2022-11-23T01:30:19.7995984Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7996073Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7996137Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.7996223Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.7996312Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7996389Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.7996475Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.7996621Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.7996721Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7996796Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.7996871Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.7996971Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.7997059Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.7997132Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.7997217Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.7997289Z              32 RETURN_VALUE
2022-11-23T01:30:19.7997294Z 
2022-11-23T01:30:19.7997340Z  
2022-11-23T01:30:19.7997521Z [2022-11-23 01:24:05,949] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.7997590Z  - 
2022-11-23T01:30:19.7997741Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.7997804Z             {
2022-11-23T01:30:19.7997945Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.7998130Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.7998237Z                 'obj_weakref': None
2022-11-23T01:30:19.7998459Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.7998523Z             }
2022-11-23T01:30:19.7998585Z             
2022-11-23T01:30:19.7998653Z  - 
2022-11-23T01:30:19.7998773Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.7998832Z             {
2022-11-23T01:30:19.7998960Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.7999064Z                 'code': None,
2022-11-23T01:30:19.7999281Z                 'obj_weakref': <weakref at 0x7ff58fcbbce0; to 'Tensor' at 0x7ff59c14a430>
2022-11-23T01:30:19.7999533Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.7999596Z             }
2022-11-23T01:30:19.7999658Z             
2022-11-23T01:30:19.7999726Z  - 
2022-11-23T01:30:19.7999837Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.7999900Z             {
2022-11-23T01:30:19.8000039Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8000144Z                 'code': None,
2022-11-23T01:30:19.8000354Z                 'obj_weakref': <weakref at 0x7ff58fcb87c0; to 'Tensor' at 0x7ff58fe58a90>
2022-11-23T01:30:19.8000604Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8000664Z             }
2022-11-23T01:30:19.8000714Z             
2022-11-23T01:30:19.8000781Z  - 
2022-11-23T01:30:19.8000910Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8000973Z             {
2022-11-23T01:30:19.8001103Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8001271Z                 'code': ['___check_obj_id(model, 140692657262736)'],
2022-11-23T01:30:19.8001388Z                 'obj_weakref': None
2022-11-23T01:30:19.8001605Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8001667Z             }
2022-11-23T01:30:19.8001728Z             
2022-11-23T01:30:19.8001795Z  - 
2022-11-23T01:30:19.8001914Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8001975Z             {
2022-11-23T01:30:19.8002107Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8002307Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8002421Z                 'obj_weakref': None
2022-11-23T01:30:19.8002638Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8002699Z             }
2022-11-23T01:30:19.8002760Z             
2022-11-23T01:30:19.8002825Z  - 
2022-11-23T01:30:19.8002958Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8003008Z             {
2022-11-23T01:30:19.8003125Z                 'guard_types': None,
2022-11-23T01:30:19.8003256Z                 'code': None,
2022-11-23T01:30:19.8003377Z                 'obj_weakref': None
2022-11-23T01:30:19.8003497Z                 'guarded_class': None
2022-11-23T01:30:19.8003561Z             }
2022-11-23T01:30:19.8003624Z             
2022-11-23T01:30:19.8003872Z [2022-11-23 01:24:05,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 169
2022-11-23T01:30:19.8004240Z [2022-11-23 01:24:07,403] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2s/c2sg6lfinkb7gww2ydafkrib6anqk44lsqsl4xfqvgfeknahchcb.py
2022-11-23T01:30:19.8004504Z [2022-11-23 01:24:07,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 169
2022-11-23T01:30:19.8004509Z 
2022-11-23T01:30:19.8004604Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8004704Z import torch
2022-11-23T01:30:19.8004775Z import random
2022-11-23T01:30:19.8004890Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8005014Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8005020Z 
2022-11-23T01:30:19.8005085Z aten = torch.ops.aten
2022-11-23T01:30:19.8005219Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8005312Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8005317Z 
2022-11-23T01:30:19.8005321Z 
2022-11-23T01:30:19.8005456Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8005664Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8005784Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8005889Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8005990Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8006073Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8006136Z {
2022-11-23T01:30:19.8006235Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8006297Z     {
2022-11-23T01:30:19.8006378Z         #pragma omp for 
2022-11-23T01:30:19.8006461Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.8006526Z         {
2022-11-23T01:30:19.8006654Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8006786Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.8006871Z             auto tmp1 = tmp0.exp();
2022-11-23T01:30:19.8006955Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:19.8007038Z             auto tmp4 = tmp3.exp();
2022-11-23T01:30:19.8007129Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8007220Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8007270Z         }
2022-11-23T01:30:19.8007364Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8007448Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.8007513Z         {
2022-11-23T01:30:19.8007597Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8007686Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:19.8007773Z             auto tmp1 = std::exp(tmp0);
2022-11-23T01:30:19.8007844Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:19.8007933Z             auto tmp4 = std::exp(tmp3);
2022-11-23T01:30:19.8008013Z             out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.8008090Z             out_ptr1[i0] = tmp4;
2022-11-23T01:30:19.8008155Z         }
2022-11-23T01:30:19.8008218Z     }
2022-11-23T01:30:19.8008276Z }
2022-11-23T01:30:19.8008341Z ''')
2022-11-23T01:30:19.8008346Z 
2022-11-23T01:30:19.8008350Z 
2022-11-23T01:30:19.8008440Z async_compile.wait(globals())
2022-11-23T01:30:19.8008512Z del async_compile
2022-11-23T01:30:19.8008517Z 
2022-11-23T01:30:19.8008587Z def call(args):
2022-11-23T01:30:19.8008664Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8008735Z     args.clear()
2022-11-23T01:30:19.8008932Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8009113Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8009331Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8009405Z     del arg0_1
2022-11-23T01:30:19.8009476Z     del arg1_1
2022-11-23T01:30:19.8009552Z     return (buf0, buf1, )
2022-11-23T01:30:19.8009557Z 
2022-11-23T01:30:19.8009562Z 
2022-11-23T01:30:19.8009636Z if __name__ == "__main__":
2022-11-23T01:30:19.8009751Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8009875Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8010056Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8010245Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8010357Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8010390Z 
2022-11-23T01:30:19.8010456Z ok (1.479s)
2022-11-23T01:30:19.8010769Z   test_expand_as_cpu (__main__.CpuTests) ... [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8011086Z [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8011301Z [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8011552Z [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8011827Z [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8012134Z [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8012484Z [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8012804Z [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8013175Z [2022-11-23 01:24:07,411] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436> 
2022-11-23T01:30:19.8013270Z  3437           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8013369Z                2 LOAD_METHOD              1 (expand_as)
2022-11-23T01:30:19.8013458Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8013544Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8013630Z                8 CALL_METHOD              2
2022-11-23T01:30:19.8013712Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8013808Z               12 LOAD_METHOD              1 (expand_as)
2022-11-23T01:30:19.8013896Z               14 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8013985Z               16 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8014057Z               18 BINARY_ADD
2022-11-23T01:30:19.8014142Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8014226Z               22 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8014285Z               24 BINARY_ADD
2022-11-23T01:30:19.8014370Z               26 CALL_METHOD              2
2022-11-23T01:30:19.8014455Z               28 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8014524Z               30 BINARY_ADD
2022-11-23T01:30:19.8014610Z               32 BUILD_TUPLE              2
2022-11-23T01:30:19.8014684Z               34 RETURN_VALUE
2022-11-23T01:30:19.8014743Z  
2022-11-23T01:30:19.8014748Z 
2022-11-23T01:30:19.8015054Z [2022-11-23 01:24:07,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3437
2022-11-23T01:30:19.8015301Z [2022-11-23 01:24:07,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.8015612Z [2022-11-23 01:24:07,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8015867Z [2022-11-23 01:24:07,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.expand_as)]
2022-11-23T01:30:19.8016148Z [2022-11-23 01:24:07,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:30:19.8016658Z [2022-11-23 01:24:07,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8016922Z [2022-11-23 01:24:07,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.8017353Z [2022-11-23 01:24:07,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8017640Z [2022-11-23 01:24:07,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.expand_as)]
2022-11-23T01:30:19.8017955Z [2022-11-23 01:24:07,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:30:19.8018313Z [2022-11-23 01:24:07,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8018610Z [2022-11-23 01:24:07,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:30:19.8018952Z [2022-11-23 01:24:07,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8019335Z [2022-11-23 01:24:07,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8019677Z [2022-11-23 01:24:07,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8019939Z [2022-11-23 01:24:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8020246Z [2022-11-23 01:24:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8020512Z [2022-11-23 01:24:07,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8020756Z [2022-11-23 01:24:07,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8021135Z [2022-11-23 01:24:07,429] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3436>
2022-11-23T01:30:19.8021376Z [2022-11-23 01:24:07,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8021608Z [2022-11-23 01:24:07,429] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8021847Z [2022-11-23 01:24:07,430] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8022092Z [2022-11-23 01:24:07,435] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8022277Z [2022-11-23 01:24:07,436] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8022412Z  __compiled_fn_171 <eval_with_key>.1490 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8022535Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8022623Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8022744Z call_function, expand_as, aten.expand_as, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.8022911Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.8023071Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:19.8023189Z call_function, expand_as_1, aten.expand_as, (add, add_1), {}
2022-11-23T01:30:19.8023368Z call_function, add_2, <built-in function add>, (expand_as_1, 1), {}
2022-11-23T01:30:19.8023476Z output, output, output, ((expand_as, add_2),), {}
2022-11-23T01:30:19.8023482Z 
2022-11-23T01:30:19.8023803Z [2022-11-23 01:24:07,436] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8023921Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8024009Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8024095Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8024175Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8024259Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8024344Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8024418Z              12 RETURN_VALUE
2022-11-23T01:30:19.8024423Z 
2022-11-23T01:30:19.8024485Z  
2022-11-23T01:30:19.8024807Z [2022-11-23 01:24:07,436] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8024913Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_171)
2022-11-23T01:30:19.8024989Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8025077Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8025154Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8025241Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8025327Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8025403Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8025488Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.8025588Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8025676Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8025761Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8025836Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8025934Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8026018Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8026093Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8026178Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.8026241Z              32 RETURN_VALUE
2022-11-23T01:30:19.8026247Z 
2022-11-23T01:30:19.8026304Z  
2022-11-23T01:30:19.8026483Z [2022-11-23 01:24:07,437] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8026551Z  - 
2022-11-23T01:30:19.8026670Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8026732Z             {
2022-11-23T01:30:19.8026872Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8027045Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.8027161Z                 'obj_weakref': None
2022-11-23T01:30:19.8027383Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8027445Z             }
2022-11-23T01:30:19.8027507Z             
2022-11-23T01:30:19.8027573Z  - 
2022-11-23T01:30:19.8027695Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8027745Z             {
2022-11-23T01:30:19.8027885Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8027991Z                 'code': None,
2022-11-23T01:30:19.8028205Z                 'obj_weakref': <weakref at 0x7ff58f91a840; to 'Tensor' at 0x7ff5a81818f0>
2022-11-23T01:30:19.8028484Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8028547Z             }
2022-11-23T01:30:19.8028608Z             
2022-11-23T01:30:19.8028664Z  - 
2022-11-23T01:30:19.8028784Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8028846Z             {
2022-11-23T01:30:19.8028988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8029091Z                 'code': None,
2022-11-23T01:30:19.8029299Z                 'obj_weakref': <weakref at 0x7ff58f91a6b0; to 'Tensor' at 0x7ff59c149300>
2022-11-23T01:30:19.8029548Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8029599Z             }
2022-11-23T01:30:19.8029659Z             
2022-11-23T01:30:19.8029726Z  - 
2022-11-23T01:30:19.8029882Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8029944Z             {
2022-11-23T01:30:19.8030073Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8030241Z                 'code': ['___check_obj_id(model, 140692657048160)'],
2022-11-23T01:30:19.8030348Z                 'obj_weakref': None
2022-11-23T01:30:19.8030577Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8030639Z             }
2022-11-23T01:30:19.8030701Z             
2022-11-23T01:30:19.8030768Z  - 
2022-11-23T01:30:19.8030886Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8030947Z             {
2022-11-23T01:30:19.8031069Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8031283Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8031399Z                 'obj_weakref': None
2022-11-23T01:30:19.8031618Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8031683Z             }
2022-11-23T01:30:19.8031743Z             
2022-11-23T01:30:19.8031808Z  - 
2022-11-23T01:30:19.8031929Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8031989Z             {
2022-11-23T01:30:19.8032106Z                 'guard_types': None,
2022-11-23T01:30:19.8032209Z                 'code': None,
2022-11-23T01:30:19.8032323Z                 'obj_weakref': None
2022-11-23T01:30:19.8032440Z                 'guarded_class': None
2022-11-23T01:30:19.8032500Z             }
2022-11-23T01:30:19.8032549Z             
2022-11-23T01:30:19.8032806Z [2022-11-23 01:24:07,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 170
2022-11-23T01:30:19.8033174Z [2022-11-23 01:24:09,345] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gc/cgc4sppfbnuv7x6evokp26hk6frlkt3snce3bfthswat4grwpm4d.py
2022-11-23T01:30:19.8033435Z [2022-11-23 01:24:09,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 170
2022-11-23T01:30:19.8033442Z 
2022-11-23T01:30:19.8033535Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8033604Z import torch
2022-11-23T01:30:19.8033671Z import random
2022-11-23T01:30:19.8033787Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8033985Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8033991Z 
2022-11-23T01:30:19.8034069Z aten = torch.ops.aten
2022-11-23T01:30:19.8034201Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8034292Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8034297Z 
2022-11-23T01:30:19.8034301Z 
2022-11-23T01:30:19.8034434Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8034639Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8034757Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8034857Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8034905Z {
2022-11-23T01:30:19.8035001Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8035062Z     {
2022-11-23T01:30:19.8035212Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.8035292Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:19.8035354Z         {
2022-11-23T01:30:19.8035427Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:19.8035489Z             {
2022-11-23T01:30:19.8035577Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:30:19.8035642Z                 {
2022-11-23T01:30:19.8035788Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (100*i0));
2022-11-23T01:30:19.8035925Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8036018Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8036105Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:30:19.8036205Z                     tmp3.store(out_ptr0 + (8*i2) + (100*i1) + (12800*i0));
2022-11-23T01:30:19.8036298Z                 }
2022-11-23T01:30:19.8036393Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.8036482Z                 for(long i2=96; i2<100; i2+=1)
2022-11-23T01:30:19.8036548Z                 {
2022-11-23T01:30:19.8036644Z                     auto tmp0 = in_ptr0[i2 + (100*i0)];
2022-11-23T01:30:19.8036744Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8036822Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8036907Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:30:19.8037005Z                     out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp3;
2022-11-23T01:30:19.8037069Z                 }
2022-11-23T01:30:19.8037131Z             }
2022-11-23T01:30:19.8037191Z         }
2022-11-23T01:30:19.8037250Z     }
2022-11-23T01:30:19.8037297Z }
2022-11-23T01:30:19.8037374Z ''')
2022-11-23T01:30:19.8037379Z 
2022-11-23T01:30:19.8037383Z 
2022-11-23T01:30:19.8037473Z async_compile.wait(globals())
2022-11-23T01:30:19.8037543Z del async_compile
2022-11-23T01:30:19.8037548Z 
2022-11-23T01:30:19.8037615Z def call(args):
2022-11-23T01:30:19.8037689Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8037759Z     args.clear()
2022-11-23T01:30:19.8037963Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8038094Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8038203Z     return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, )
2022-11-23T01:30:19.8038208Z 
2022-11-23T01:30:19.8038213Z 
2022-11-23T01:30:19.8038288Z if __name__ == "__main__":
2022-11-23T01:30:19.8038401Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8038520Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8038726Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8038937Z     arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8039052Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8039057Z 
2022-11-23T01:30:19.8039112Z ok (1.969s)
2022-11-23T01:30:19.8039414Z   test_expand_cpu (__main__.CpuTests) ... [2022-11-23 01:24:09,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8039728Z [2022-11-23 01:24:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8039944Z [2022-11-23 01:24:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8040194Z [2022-11-23 01:24:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8040468Z [2022-11-23 01:24:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8040786Z [2022-11-23 01:24:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8041157Z [2022-11-23 01:24:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8041477Z [2022-11-23 01:24:09,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8041851Z [2022-11-23 01:24:09,380] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260> 
2022-11-23T01:30:19.8041933Z  1262           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8042020Z                2 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8042092Z                4 BINARY_ADD
2022-11-23T01:30:19.8042190Z                6 LOAD_METHOD              0 (expand)
2022-11-23T01:30:19.8042305Z                8 LOAD_CONST               2 (3)
2022-11-23T01:30:19.8042389Z               10 LOAD_CONST               3 (4)
2022-11-23T01:30:19.8042477Z               12 LOAD_CONST               4 (2)
2022-11-23T01:30:19.8042551Z               14 LOAD_CONST               2 (3)
2022-11-23T01:30:19.8042635Z               16 LOAD_CONST               4 (2)
2022-11-23T01:30:19.8042720Z               18 CALL_METHOD              5
2022-11-23T01:30:19.8042803Z               20 LOAD_CONST               4 (2)
2022-11-23T01:30:19.8042875Z               22 BINARY_ADD
2022-11-23T01:30:19.8042880Z 
2022-11-23T01:30:19.8042966Z 1263          24 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8043062Z               26 LOAD_METHOD              0 (expand)
2022-11-23T01:30:19.8043134Z               28 LOAD_CONST               4 (2)
2022-11-23T01:30:19.8043222Z               30 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8043306Z               32 LOAD_CONST               4 (2)
2022-11-23T01:30:19.8043395Z               34 LOAD_CONST               2 (3)
2022-11-23T01:30:19.8043479Z               36 LOAD_CONST               4 (2)
2022-11-23T01:30:19.8043568Z               38 CALL_METHOD              5
2022-11-23T01:30:19.8043651Z               40 LOAD_CONST               4 (2)
2022-11-23T01:30:19.8043724Z               42 BINARY_ADD
2022-11-23T01:30:19.8043729Z 
2022-11-23T01:30:19.8043805Z 1261          44 BUILD_TUPLE              2
2022-11-23T01:30:19.8043809Z 
2022-11-23T01:30:19.8043894Z 1264          46 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8043989Z               48 LOAD_METHOD              0 (expand)
2022-11-23T01:30:19.8044074Z               50 LOAD_CONST               4 (2)
2022-11-23T01:30:19.8044212Z               52 LOAD_CONST               5 (-1)
2022-11-23T01:30:19.8044297Z               54 LOAD_CONST               6 (5)
2022-11-23T01:30:19.8044432Z               56 LOAD_CONST               5 (-1)
2022-11-23T01:30:19.8044506Z               58 CALL_METHOD              4
2022-11-23T01:30:19.8044527Z 
2022-11-23T01:30:19.8044601Z 1261          60 BUILD_TUPLE              2
2022-11-23T01:30:19.8044677Z               62 RETURN_VALUE
2022-11-23T01:30:19.8044743Z  
2022-11-23T01:30:19.8044748Z 
2022-11-23T01:30:19.8045067Z [2022-11-23 01:24:09,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1262
2022-11-23T01:30:19.8045278Z [2022-11-23 01:24:09,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8045515Z [2022-11-23 01:24:09,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.8045794Z [2022-11-23 01:24:09,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8046041Z [2022-11-23 01:24:09,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable()]
2022-11-23T01:30:19.8046304Z [2022-11-23 01:24:09,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:30:19.8046650Z [2022-11-23 01:24:09,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:30:19.8047000Z [2022-11-23 01:24:09,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8047386Z [2022-11-23 01:24:09,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8047807Z [2022-11-23 01:24:09,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8048277Z [2022-11-23 01:24:09,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8048544Z [2022-11-23 01:24:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.8048821Z [2022-11-23 01:24:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8049133Z [2022-11-23 01:24:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1263
2022-11-23T01:30:19.8049367Z [2022-11-23 01:24:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:19.8049638Z [2022-11-23 01:24:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8049941Z [2022-11-23 01:24:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:30:19.8050271Z [2022-11-23 01:24:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:30:19.8050649Z [2022-11-23 01:24:09,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8051065Z [2022-11-23 01:24:09,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8051516Z [2022-11-23 01:24:09,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8052019Z [2022-11-23 01:24:09,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8052284Z [2022-11-23 01:24:09,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8052589Z [2022-11-23 01:24:09,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8052900Z [2022-11-23 01:24:09,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T01:30:19.8053169Z [2022-11-23 01:24:09,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8053482Z [2022-11-23 01:24:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1264
2022-11-23T01:30:19.8053745Z [2022-11-23 01:24:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable()]
2022-11-23T01:30:19.8054017Z [2022-11-23 01:24:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TupleVariable(), TensorVariable()]
2022-11-23T01:30:19.8054306Z [2022-11-23 01:24:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TupleVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:30:19.8054649Z [2022-11-23 01:24:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:30:19.8055023Z [2022-11-23 01:24:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8055468Z [2022-11-23 01:24:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8055925Z [2022-11-23 01:24:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8056235Z [2022-11-23 01:24:09,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1261
2022-11-23T01:30:19.8056715Z [2022-11-23 01:24:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TensorVariable()]
2022-11-23T01:30:19.8056969Z [2022-11-23 01:24:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8057351Z [2022-11-23 01:24:09,392] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1260>
2022-11-23T01:30:19.8057596Z [2022-11-23 01:24:09,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8057833Z [2022-11-23 01:24:09,392] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8058085Z [2022-11-23 01:24:09,394] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8058318Z [2022-11-23 01:24:09,402] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8058506Z [2022-11-23 01:24:09,402] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8058637Z  __compiled_fn_172 <eval_with_key>.1496 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8058727Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8058901Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.8059012Z call_method, expand, expand, (add, 3, 4, 2, 3, 2), {}
2022-11-23T01:30:19.8059191Z call_function, add_1, <built-in function add>, (expand, 2), {}
2022-11-23T01:30:19.8059299Z call_method, expand_1, expand, (ex_0_, 2, 1, 2, 3, 2), {}
2022-11-23T01:30:19.8059467Z call_function, add_2, <built-in function add>, (expand_1, 2), {}
2022-11-23T01:30:19.8059624Z call_method, expand_2, expand, (ex_0_, 2, -1, 5, -1), {}
2022-11-23T01:30:19.8059736Z output, output, output, ((add_1, add_2, expand_2),), {}
2022-11-23T01:30:19.8059741Z 
2022-11-23T01:30:19.8060064Z [2022-11-23 01:24:09,403] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8060155Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8060243Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8060330Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8060423Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8060496Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8060633Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8060708Z              12 RETURN_VALUE
2022-11-23T01:30:19.8060713Z 
2022-11-23T01:30:19.8060774Z  
2022-11-23T01:30:19.8061100Z [2022-11-23 01:24:09,403] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8061204Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_172)
2022-11-23T01:30:19.8061291Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8061367Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8061442Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8061531Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8061634Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8061771Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8061860Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8061937Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8062034Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8062110Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8062183Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8062267Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.8062363Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8062448Z              28 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8062522Z              30 BINARY_SUBSCR
2022-11-23T01:30:19.8062606Z              32 BUILD_TUPLE              2
2022-11-23T01:30:19.8062667Z              34 RETURN_VALUE
2022-11-23T01:30:19.8062673Z 
2022-11-23T01:30:19.8062731Z  
2022-11-23T01:30:19.8062913Z [2022-11-23 01:24:09,404] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8062984Z  - 
2022-11-23T01:30:19.8063100Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8063163Z             {
2022-11-23T01:30:19.8063305Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8063477Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8063595Z                 'obj_weakref': None
2022-11-23T01:30:19.8063818Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8063880Z             }
2022-11-23T01:30:19.8063942Z             
2022-11-23T01:30:19.8064008Z  - 
2022-11-23T01:30:19.8064130Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8064181Z             {
2022-11-23T01:30:19.8064320Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8064425Z                 'code': None,
2022-11-23T01:30:19.8064636Z                 'obj_weakref': <weakref at 0x7ff58f95e0c0; to 'Tensor' at 0x7ff58fd24310>
2022-11-23T01:30:19.8064888Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8064948Z             }
2022-11-23T01:30:19.8065011Z             
2022-11-23T01:30:19.8065066Z  - 
2022-11-23T01:30:19.8065194Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8065253Z             {
2022-11-23T01:30:19.8065384Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8065549Z                 'code': ['___check_obj_id(model, 140692657270512)'],
2022-11-23T01:30:19.8065663Z                 'obj_weakref': None
2022-11-23T01:30:19.8065890Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8065939Z             }
2022-11-23T01:30:19.8065998Z             
2022-11-23T01:30:19.8066064Z  - 
2022-11-23T01:30:19.8066183Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8066243Z             {
2022-11-23T01:30:19.8066374Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8066589Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8066724Z                 'obj_weakref': None
2022-11-23T01:30:19.8066942Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8067003Z             }
2022-11-23T01:30:19.8067064Z             
2022-11-23T01:30:19.8067321Z [2022-11-23 01:24:09,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 171
2022-11-23T01:30:19.8067689Z [2022-11-23 01:24:11,043] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chddvbytrntggvkwszey7oiqtaskobzcjcfsoe4srjnh56wfnx4a.py
2022-11-23T01:30:19.8067947Z [2022-11-23 01:24:11,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 171
2022-11-23T01:30:19.8067953Z 
2022-11-23T01:30:19.8068044Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8068127Z import torch
2022-11-23T01:30:19.8068195Z import random
2022-11-23T01:30:19.8068307Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8068428Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8068433Z 
2022-11-23T01:30:19.8068508Z aten = torch.ops.aten
2022-11-23T01:30:19.8068637Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8068726Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8068731Z 
2022-11-23T01:30:19.8068735Z 
2022-11-23T01:30:19.8068865Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8069057Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8069173Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8069268Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8069361Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8069420Z {
2022-11-23T01:30:19.8069515Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8069578Z     {
2022-11-23T01:30:19.8069642Z         #pragma omp for 
2022-11-23T01:30:19.8069724Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.8069790Z         {
2022-11-23T01:30:19.8069868Z             #pragma GCC ivdep
2022-11-23T01:30:19.8069947Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.8070007Z             {
2022-11-23T01:30:19.8070085Z                 #pragma GCC ivdep
2022-11-23T01:30:19.8070161Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T01:30:19.8070226Z                 {
2022-11-23T01:30:19.8070307Z                     #pragma GCC ivdep
2022-11-23T01:30:19.8070396Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T01:30:19.8070460Z                     {
2022-11-23T01:30:19.8070526Z                         {
2022-11-23T01:30:19.8070582Z                             {
2022-11-23T01:30:19.8070685Z                                 auto tmp0 = in_ptr0[i3 + (2*i1)];
2022-11-23T01:30:19.8070791Z                                 auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8070888Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8070998Z                                 auto tmp3 = static_cast<float>(2);
2022-11-23T01:30:19.8071092Z                                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.8071201Z                                 out_ptr0[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp4;
2022-11-23T01:30:19.8071271Z                             }
2022-11-23T01:30:19.8071326Z                         }
2022-11-23T01:30:19.8071389Z                     }
2022-11-23T01:30:19.8071454Z                 }
2022-11-23T01:30:19.8071515Z             }
2022-11-23T01:30:19.8071576Z         }
2022-11-23T01:30:19.8071665Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.8071743Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.8071792Z         {
2022-11-23T01:30:19.8071874Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:19.8071936Z             {
2022-11-23T01:30:19.8072018Z                 #pragma GCC ivdep
2022-11-23T01:30:19.8072103Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T01:30:19.8072165Z                 {
2022-11-23T01:30:19.8072262Z                     #pragma GCC ivdep
2022-11-23T01:30:19.8072351Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T01:30:19.8072415Z                     {
2022-11-23T01:30:19.8072482Z                         {
2022-11-23T01:30:19.8072550Z                             {
2022-11-23T01:30:19.8072650Z                                 auto tmp0 = in_ptr0[i3 + (2*i1)];
2022-11-23T01:30:19.8072757Z                                 auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.8072840Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8072948Z                                 out_ptr1[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp2;
2022-11-23T01:30:19.8073016Z                             }
2022-11-23T01:30:19.8073081Z                         }
2022-11-23T01:30:19.8073146Z                     }
2022-11-23T01:30:19.8073270Z                 }
2022-11-23T01:30:19.8073331Z             }
2022-11-23T01:30:19.8073381Z         }
2022-11-23T01:30:19.8073439Z     }
2022-11-23T01:30:19.8073497Z }
2022-11-23T01:30:19.8073577Z ''')
2022-11-23T01:30:19.8073582Z 
2022-11-23T01:30:19.8073586Z 
2022-11-23T01:30:19.8073674Z async_compile.wait(globals())
2022-11-23T01:30:19.8073743Z del async_compile
2022-11-23T01:30:19.8073748Z 
2022-11-23T01:30:19.8073897Z def call(args):
2022-11-23T01:30:19.8073970Z     arg0_1, = args
2022-11-23T01:30:19.8074028Z     args.clear()
2022-11-23T01:30:19.8074248Z     buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8074462Z     buf1 = empty_strided((2, 1, 2, 3, 2), (12, 24, 6, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8074624Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8074737Z     return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), )
2022-11-23T01:30:19.8074744Z 
2022-11-23T01:30:19.8074748Z 
2022-11-23T01:30:19.8074827Z if __name__ == "__main__":
2022-11-23T01:30:19.8074942Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8075062Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8075251Z     arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8075356Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8075361Z 
2022-11-23T01:30:19.8075426Z ok (1.671s)
2022-11-23T01:30:19.8076092Z   test_expanded_reduction_cpu (__main__.CpuTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87157 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:30:19.8076392Z   test_fill1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:11,049] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8076707Z [2022-11-23 01:24:11,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8076921Z [2022-11-23 01:24:11,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8077172Z [2022-11-23 01:24:11,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8077444Z [2022-11-23 01:24:11,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8077760Z [2022-11-23 01:24:11,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8078093Z [2022-11-23 01:24:11,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8078461Z [2022-11-23 01:24:11,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8078835Z [2022-11-23 01:24:11,050] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f4f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490> 
2022-11-23T01:30:19.8078929Z  2491           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8079026Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:30:19.8079115Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8079200Z                6 CALL_METHOD              1
2022-11-23T01:30:19.8079289Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:30:19.8079294Z 
2022-11-23T01:30:19.8079382Z 2492          10 LOAD_FAST                1 (tmp)
2022-11-23T01:30:19.8079462Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:30:19.8079577Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:30:19.8079671Z               16 LOAD_METHOD              4 (Scalar)
2022-11-23T01:30:19.8079761Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:30:19.8079848Z               20 LOAD_CONST               1 (2)
2022-11-23T01:30:19.8079936Z               22 CALL_METHOD              2
2022-11-23T01:30:19.8080022Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.8080086Z               26 RETURN_VALUE
2022-11-23T01:30:19.8080145Z  
2022-11-23T01:30:19.8080149Z 
2022-11-23T01:30:19.8080462Z [2022-11-23 01:24:11,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2491
2022-11-23T01:30:19.8080679Z [2022-11-23 01:24:11,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8081047Z [2022-11-23 01:24:11,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8081373Z [2022-11-23 01:24:11,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8081730Z [2022-11-23 01:24:11,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8081970Z [2022-11-23 01:24:11,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:30:19.8082279Z [2022-11-23 01:24:11,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2492
2022-11-23T01:30:19.8082489Z [2022-11-23 01:24:11,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:30:19.8082722Z [2022-11-23 01:24:11,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.8083049Z [2022-11-23 01:24:11,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8083332Z [2022-11-23 01:24:11,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:30:19.8083623Z [2022-11-23 01:24:11,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Scalar)]
2022-11-23T01:30:19.8083942Z [2022-11-23 01:24:11,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable()]
2022-11-23T01:30:19.8084299Z [2022-11-23 01:24:11,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8084562Z [2022-11-23 01:24:11,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8084831Z [2022-11-23 01:24:11,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8085205Z [2022-11-23 01:24:11,059] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f4f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2490>
2022-11-23T01:30:19.8085446Z [2022-11-23 01:24:11,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8085674Z [2022-11-23 01:24:11,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8085912Z [2022-11-23 01:24:11,060] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8086160Z [2022-11-23 01:24:11,063] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8086380Z [2022-11-23 01:24:11,063] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8086513Z  __compiled_fn_173 <eval_with_key>.1502 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8086599Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8086841Z call_function, ones_like, <built-in method ones_like of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.8086969Z call_function, fill_scalar, aten.fill.Scalar, (ones_like, 2), {}
2022-11-23T01:30:19.8087085Z output, output, output, ((ones_like, fill_scalar),), {}
2022-11-23T01:30:19.8087091Z 
2022-11-23T01:30:19.8087400Z [2022-11-23 01:24:11,064] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8087491Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8087579Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8087664Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8087757Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8087841Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8087929Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8088003Z              12 RETURN_VALUE
2022-11-23T01:30:19.8088008Z 
2022-11-23T01:30:19.8088056Z  
2022-11-23T01:30:19.8088375Z [2022-11-23 01:24:11,064] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8088482Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_173)
2022-11-23T01:30:19.8088570Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8088657Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8088733Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8088819Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8088909Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8089012Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8089104Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8089181Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8089284Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8089372Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8089448Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8089534Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.8089597Z              26 RETURN_VALUE
2022-11-23T01:30:19.8089602Z 
2022-11-23T01:30:19.8089661Z  
2022-11-23T01:30:19.8089844Z [2022-11-23 01:24:11,065] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8089913Z  - 
2022-11-23T01:30:19.8090032Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8090097Z             {
2022-11-23T01:30:19.8090238Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8090414Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8090534Z                 'obj_weakref': None
2022-11-23T01:30:19.8090759Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8090850Z             }
2022-11-23T01:30:19.8090917Z             
2022-11-23T01:30:19.8090985Z  - 
2022-11-23T01:30:19.8091110Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8091160Z             {
2022-11-23T01:30:19.8091301Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8091407Z                 'code': None,
2022-11-23T01:30:19.8091623Z                 'obj_weakref': <weakref at 0x7ff58fdcbce0; to 'Tensor' at 0x7ff5a81818f0>
2022-11-23T01:30:19.8091877Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8091941Z             }
2022-11-23T01:30:19.8092003Z             
2022-11-23T01:30:19.8092059Z  - 
2022-11-23T01:30:19.8092190Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8092283Z             {
2022-11-23T01:30:19.8092418Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8092585Z                 'code': ['___check_obj_id(model, 140692657261728)'],
2022-11-23T01:30:19.8092705Z                 'obj_weakref': None
2022-11-23T01:30:19.8092931Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8092983Z             }
2022-11-23T01:30:19.8093045Z             
2022-11-23T01:30:19.8093112Z  - 
2022-11-23T01:30:19.8093233Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8093297Z             {
2022-11-23T01:30:19.8093434Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8093649Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8093754Z                 'obj_weakref': None
2022-11-23T01:30:19.8093974Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8094041Z             }
2022-11-23T01:30:19.8094104Z             
2022-11-23T01:30:19.8094173Z  - 
2022-11-23T01:30:19.8094304Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8094370Z             {
2022-11-23T01:30:19.8094476Z                 'guard_types': None,
2022-11-23T01:30:19.8094582Z                 'code': None,
2022-11-23T01:30:19.8094699Z                 'obj_weakref': None
2022-11-23T01:30:19.8094816Z                 'guarded_class': None
2022-11-23T01:30:19.8094880Z             }
2022-11-23T01:30:19.8094944Z             
2022-11-23T01:30:19.8094999Z  - 
2022-11-23T01:30:19.8095127Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8095188Z             {
2022-11-23T01:30:19.8095303Z                 'guard_types': None,
2022-11-23T01:30:19.8095408Z                 'code': None,
2022-11-23T01:30:19.8095524Z                 'obj_weakref': None
2022-11-23T01:30:19.8095639Z                 'guarded_class': None
2022-11-23T01:30:19.8095689Z             }
2022-11-23T01:30:19.8095754Z             
2022-11-23T01:30:19.8096012Z [2022-11-23 01:24:11,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 172
2022-11-23T01:30:19.8096384Z [2022-11-23 01:24:12,525] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uv/cuvaydpnvd7b46kekhkdgobdoatgqcnn35gmrn3pfu2sr5m5clhe.py
2022-11-23T01:30:19.8096772Z [2022-11-23 01:24:12,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 172
2022-11-23T01:30:19.8096778Z 
2022-11-23T01:30:19.8096869Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8096937Z import torch
2022-11-23T01:30:19.8097005Z import random
2022-11-23T01:30:19.8097106Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8097226Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8097232Z 
2022-11-23T01:30:19.8097310Z aten = torch.ops.aten
2022-11-23T01:30:19.8097440Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8097532Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8097537Z 
2022-11-23T01:30:19.8097541Z 
2022-11-23T01:30:19.8097675Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8097926Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8098040Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8098125Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8098183Z {
2022-11-23T01:30:19.8098280Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8098340Z     {
2022-11-23T01:30:19.8098414Z         #pragma omp for 
2022-11-23T01:30:19.8098493Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.8098555Z         {
2022-11-23T01:30:19.8098680Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8098769Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8098831Z         }
2022-11-23T01:30:19.8098923Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8099038Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:19.8099101Z         {
2022-11-23T01:30:19.8099199Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:30:19.8099270Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.8099332Z         }
2022-11-23T01:30:19.8099405Z         #pragma omp for 
2022-11-23T01:30:19.8099483Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.8099545Z         {
2022-11-23T01:30:19.8099677Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.8099764Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8099813Z         }
2022-11-23T01:30:19.8099906Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8099985Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:19.8100045Z         {
2022-11-23T01:30:19.8100141Z             auto tmp0 = static_cast<float>(2);
2022-11-23T01:30:19.8100219Z             out_ptr1[i0] = tmp0;
2022-11-23T01:30:19.8100269Z         }
2022-11-23T01:30:19.8100329Z     }
2022-11-23T01:30:19.8100386Z }
2022-11-23T01:30:19.8100464Z ''')
2022-11-23T01:30:19.8100469Z 
2022-11-23T01:30:19.8100473Z 
2022-11-23T01:30:19.8100563Z async_compile.wait(globals())
2022-11-23T01:30:19.8100634Z del async_compile
2022-11-23T01:30:19.8100639Z 
2022-11-23T01:30:19.8100708Z def call(args):
2022-11-23T01:30:19.8100776Z     arg0_1, = args
2022-11-23T01:30:19.8100834Z     args.clear()
2022-11-23T01:30:19.8101033Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8101228Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8101361Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8101436Z     return (buf0, buf1, )
2022-11-23T01:30:19.8101441Z 
2022-11-23T01:30:19.8101445Z 
2022-11-23T01:30:19.8101519Z if __name__ == "__main__":
2022-11-23T01:30:19.8101629Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8101751Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8101937Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8102043Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8102048Z 
2022-11-23T01:30:19.8102114Z ok (1.481s)
2022-11-23T01:30:19.8102415Z   test_fill2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:12,531] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8102730Z [2022-11-23 01:24:12,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8102944Z [2022-11-23 01:24:12,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8103193Z [2022-11-23 01:24:12,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8103467Z [2022-11-23 01:24:12,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8103811Z [2022-11-23 01:24:12,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8104145Z [2022-11-23 01:24:12,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8104464Z [2022-11-23 01:24:12,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8104837Z [2022-11-23 01:24:12,532] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f50b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500> 
2022-11-23T01:30:19.8104931Z  2501           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8105028Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:30:19.8105144Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8105231Z                6 CALL_METHOD              1
2022-11-23T01:30:19.8105324Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:30:19.8105330Z 
2022-11-23T01:30:19.8105418Z 2502          10 LOAD_FAST                1 (tmp)
2022-11-23T01:30:19.8105498Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:30:19.8105583Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:30:19.8105675Z               16 LOAD_METHOD              4 (Tensor)
2022-11-23T01:30:19.8105762Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:30:19.8105854Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8105944Z               22 LOAD_METHOD              5 (tensor)
2022-11-23T01:30:19.8106031Z               24 LOAD_CONST               1 (3.0)
2022-11-23T01:30:19.8106108Z               26 CALL_METHOD              1
2022-11-23T01:30:19.8106191Z               28 CALL_METHOD              2
2022-11-23T01:30:19.8106280Z               30 BUILD_TUPLE              2
2022-11-23T01:30:19.8106355Z               32 RETURN_VALUE
2022-11-23T01:30:19.8106414Z  
2022-11-23T01:30:19.8106421Z 
2022-11-23T01:30:19.8106736Z [2022-11-23 01:24:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2501
2022-11-23T01:30:19.8106952Z [2022-11-23 01:24:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8107322Z [2022-11-23 01:24:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8107635Z [2022-11-23 01:24:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8107991Z [2022-11-23 01:24:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8108234Z [2022-11-23 01:24:12,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:30:19.8108546Z [2022-11-23 01:24:12,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2502
2022-11-23T01:30:19.8108755Z [2022-11-23 01:24:12,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:30:19.8109000Z [2022-11-23 01:24:12,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.8109326Z [2022-11-23 01:24:12,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8109607Z [2022-11-23 01:24:12,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:30:19.8109898Z [2022-11-23 01:24:12,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Tensor)]
2022-11-23T01:30:19.8110252Z [2022-11-23 01:24:12,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable()]
2022-11-23T01:30:19.8110736Z [2022-11-23 01:24:12,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8111170Z [2022-11-23 01:24:12,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8111635Z [2022-11-23 01:24:12,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(float)]
2022-11-23T01:30:19.8112015Z [2022-11-23 01:24:12,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8112280Z [2022-11-23 01:24:12,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8112521Z [2022-11-23 01:24:12,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8112897Z [2022-11-23 01:24:12,542] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f50b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2500>
2022-11-23T01:30:19.8113136Z [2022-11-23 01:24:12,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8113374Z [2022-11-23 01:24:12,542] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8113625Z [2022-11-23 01:24:12,543] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8113942Z [2022-11-23 01:24:12,548] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8114133Z [2022-11-23 01:24:12,548] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8114253Z  __compiled_fn_174 <eval_with_key>.1508 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8114340Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8114583Z call_function, ones_like, <built-in method ones_like of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.8114807Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, (3.0,), {}
2022-11-23T01:30:19.8114942Z call_function, fill_tensor, aten.fill.Tensor, (ones_like, tensor), {}
2022-11-23T01:30:19.8115060Z output, output, output, ((ones_like, fill_tensor),), {}
2022-11-23T01:30:19.8115066Z 
2022-11-23T01:30:19.8115395Z [2022-11-23 01:24:12,548] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8115487Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8115576Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8115650Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8115740Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8115824Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8115912Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8115986Z              12 RETURN_VALUE
2022-11-23T01:30:19.8115991Z 
2022-11-23T01:30:19.8116048Z  
2022-11-23T01:30:19.8116368Z [2022-11-23 01:24:12,549] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8116465Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_174)
2022-11-23T01:30:19.8116621Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8116711Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8116786Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8116872Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8116974Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8117071Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8117157Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8117220Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8117318Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8117405Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8117478Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8117563Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.8117667Z              26 RETURN_VALUE
2022-11-23T01:30:19.8117672Z 
2022-11-23T01:30:19.8117735Z  
2022-11-23T01:30:19.8117909Z [2022-11-23 01:24:12,549] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8117977Z  - 
2022-11-23T01:30:19.8118095Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8118158Z             {
2022-11-23T01:30:19.8118296Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8118480Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8118597Z                 'obj_weakref': None
2022-11-23T01:30:19.8118809Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8118873Z             }
2022-11-23T01:30:19.8118935Z             
2022-11-23T01:30:19.8119001Z  - 
2022-11-23T01:30:19.8119123Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8119184Z             {
2022-11-23T01:30:19.8119325Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8119419Z                 'code': None,
2022-11-23T01:30:19.8119630Z                 'obj_weakref': <weakref at 0x7ff58fcbba60; to 'Tensor' at 0x7ff5a84809a0>
2022-11-23T01:30:19.8119881Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8119943Z             }
2022-11-23T01:30:19.8120004Z             
2022-11-23T01:30:19.8120068Z  - 
2022-11-23T01:30:19.8120196Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8120246Z             {
2022-11-23T01:30:19.8120377Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8120543Z                 'code': ['___check_obj_id(model, 140692657270512)'],
2022-11-23T01:30:19.8120660Z                 'obj_weakref': None
2022-11-23T01:30:19.8120884Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8120944Z             }
2022-11-23T01:30:19.8121006Z             
2022-11-23T01:30:19.8121062Z  - 
2022-11-23T01:30:19.8121180Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8121240Z             {
2022-11-23T01:30:19.8121379Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8121591Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8121706Z                 'obj_weakref': None
2022-11-23T01:30:19.8121922Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8121972Z             }
2022-11-23T01:30:19.8122032Z             
2022-11-23T01:30:19.8122099Z  - 
2022-11-23T01:30:19.8122227Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8122289Z             {
2022-11-23T01:30:19.8122405Z                 'guard_types': None,
2022-11-23T01:30:19.8122508Z                 'code': None,
2022-11-23T01:30:19.8122612Z                 'obj_weakref': None
2022-11-23T01:30:19.8122728Z                 'guarded_class': None
2022-11-23T01:30:19.8122793Z             }
2022-11-23T01:30:19.8122854Z             
2022-11-23T01:30:19.8122919Z  - 
2022-11-23T01:30:19.8123090Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8123141Z             {
2022-11-23T01:30:19.8123258Z                 'guard_types': None,
2022-11-23T01:30:19.8123362Z                 'code': None,
2022-11-23T01:30:19.8123476Z                 'obj_weakref': None
2022-11-23T01:30:19.8123594Z                 'guarded_class': None
2022-11-23T01:30:19.8123654Z             }
2022-11-23T01:30:19.8123714Z             
2022-11-23T01:30:19.8123960Z [2022-11-23 01:24:12,556] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 173
2022-11-23T01:30:19.8124322Z [2022-11-23 01:24:14,013] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d6/cd66i37fdzjxkbqqpyj3uoajl2eq24l4whtz72icweutj2ydwdai.py
2022-11-23T01:30:19.8124581Z [2022-11-23 01:24:14,013] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 173
2022-11-23T01:30:19.8124612Z 
2022-11-23T01:30:19.8124704Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8124773Z import torch
2022-11-23T01:30:19.8124843Z import random
2022-11-23T01:30:19.8124956Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8125075Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8125081Z 
2022-11-23T01:30:19.8125146Z aten = torch.ops.aten
2022-11-23T01:30:19.8125277Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8125366Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8125371Z 
2022-11-23T01:30:19.8125375Z 
2022-11-23T01:30:19.8125507Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8125710Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8125823Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8125919Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8125980Z {
2022-11-23T01:30:19.8126065Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8126123Z     {
2022-11-23T01:30:19.8126197Z         #pragma omp for 
2022-11-23T01:30:19.8126278Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.8126339Z         {
2022-11-23T01:30:19.8126474Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8126563Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8126614Z         }
2022-11-23T01:30:19.8126704Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8126784Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:19.8126846Z         {
2022-11-23T01:30:19.8126942Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:30:19.8127023Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.8127084Z         }
2022-11-23T01:30:19.8127146Z         #pragma omp for 
2022-11-23T01:30:19.8127224Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.8127286Z         {
2022-11-23T01:30:19.8127423Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2022-11-23T01:30:19.8127514Z             tmp0.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8127577Z         }
2022-11-23T01:30:19.8127670Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8127739Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:19.8127803Z         {
2022-11-23T01:30:19.8127903Z             auto tmp0 = static_cast<float>(3.0);
2022-11-23T01:30:19.8127983Z             out_ptr1[i0] = tmp0;
2022-11-23T01:30:19.8128045Z         }
2022-11-23T01:30:19.8128109Z     }
2022-11-23T01:30:19.8128157Z }
2022-11-23T01:30:19.8128233Z ''')
2022-11-23T01:30:19.8128238Z 
2022-11-23T01:30:19.8128242Z 
2022-11-23T01:30:19.8128330Z async_compile.wait(globals())
2022-11-23T01:30:19.8128402Z del async_compile
2022-11-23T01:30:19.8128407Z 
2022-11-23T01:30:19.8128478Z def call(args):
2022-11-23T01:30:19.8128546Z     arg0_1, = args
2022-11-23T01:30:19.8128616Z     args.clear()
2022-11-23T01:30:19.8128820Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8129032Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8129167Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8129245Z     return (buf0, buf1, )
2022-11-23T01:30:19.8129250Z 
2022-11-23T01:30:19.8129255Z 
2022-11-23T01:30:19.8129330Z if __name__ == "__main__":
2022-11-23T01:30:19.8129444Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8129567Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8129765Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8129872Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8129876Z 
2022-11-23T01:30:19.8129931Z ok (1.488s)
2022-11-23T01:30:19.8130235Z   test_flip_cpu (__main__.CpuTests) ... [2022-11-23 01:24:14,018] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8130582Z [2022-11-23 01:24:14,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8130802Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8131054Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8131330Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8131650Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8131996Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8132318Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8132692Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647> 
2022-11-23T01:30:19.8132776Z  2648           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8132869Z                2 LOAD_METHOD              1 (flip)
2022-11-23T01:30:19.8132960Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8133097Z                6 LOAD_CONST               1 ((-1,))
2022-11-23T01:30:19.8133187Z                8 CALL_METHOD              2
2022-11-23T01:30:19.8133280Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8133373Z               12 LOAD_METHOD              1 (flip)
2022-11-23T01:30:19.8133461Z               14 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8133543Z               16 LOAD_CONST               2 ((0, 2))
2022-11-23T01:30:19.8133630Z               18 CALL_METHOD              2
2022-11-23T01:30:19.8133717Z               20 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8133798Z               22 BINARY_SUBTRACT
2022-11-23T01:30:19.8133884Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.8133961Z               26 RETURN_VALUE
2022-11-23T01:30:19.8134022Z  
2022-11-23T01:30:19.8134028Z 
2022-11-23T01:30:19.8134327Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2648
2022-11-23T01:30:19.8134544Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8134910Z [2022-11-23 01:24:14,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8135229Z [2022-11-23 01:24:14,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method flip of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8135602Z [2022-11-23 01:24:14,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (-1,) [TorchVariable(<built-in method flip of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8135990Z [2022-11-23 01:24:14,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method flip of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.8136233Z [2022-11-23 01:24:14,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.8136798Z [2022-11-23 01:24:14,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8137205Z [2022-11-23 01:24:14,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8137591Z [2022-11-23 01:24:14,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 2) [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8138017Z [2022-11-23 01:24:14,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.8138282Z [2022-11-23 01:24:14,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8138584Z [2022-11-23 01:24:14,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8138848Z [2022-11-23 01:24:14,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8139095Z [2022-11-23 01:24:14,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8139469Z [2022-11-23 01:24:14,023] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6340, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2647>
2022-11-23T01:30:19.8139709Z [2022-11-23 01:24:14,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8139943Z [2022-11-23 01:24:14,024] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8140197Z [2022-11-23 01:24:14,025] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8140443Z [2022-11-23 01:24:14,032] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8140633Z [2022-11-23 01:24:14,032] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8140767Z  __compiled_fn_175 <eval_with_key>.1514 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8140845Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8141075Z call_function, flip, <built-in method flip of type object at 0x7ff5d7c59c60>, (ex_0_, (-1,)), {}
2022-11-23T01:30:19.8141312Z call_function, flip_1, <built-in method flip of type object at 0x7ff5d7c59c60>, (ex_0_, (0, 2)), {}
2022-11-23T01:30:19.8141483Z call_function, sub, <built-in function sub>, (flip_1, 2), {}
2022-11-23T01:30:19.8141585Z output, output, output, ((flip, sub),), {}
2022-11-23T01:30:19.8141590Z 
2022-11-23T01:30:19.8141914Z [2022-11-23 01:24:14,032] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8142005Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8142093Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8142168Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8142260Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8142376Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8142467Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8142542Z              12 RETURN_VALUE
2022-11-23T01:30:19.8142547Z 
2022-11-23T01:30:19.8142606Z  
2022-11-23T01:30:19.8142924Z [2022-11-23 01:24:14,033] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8143019Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_175)
2022-11-23T01:30:19.8143108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8143193Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8143266Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8143350Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8143481Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8143579Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8143667Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8143731Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8143827Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8143912Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8143988Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8144071Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.8144143Z              26 RETURN_VALUE
2022-11-23T01:30:19.8144148Z 
2022-11-23T01:30:19.8144205Z  
2022-11-23T01:30:19.8144375Z [2022-11-23 01:24:14,033] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8144444Z  - 
2022-11-23T01:30:19.8144561Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8144623Z             {
2022-11-23T01:30:19.8144759Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8144950Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8145071Z                 'obj_weakref': None
2022-11-23T01:30:19.8145285Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8145349Z             }
2022-11-23T01:30:19.8145413Z             
2022-11-23T01:30:19.8145480Z  - 
2022-11-23T01:30:19.8145600Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8145659Z             {
2022-11-23T01:30:19.8145799Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8145892Z                 'code': None,
2022-11-23T01:30:19.8146103Z                 'obj_weakref': <weakref at 0x7ff58fdc87c0; to 'Tensor' at 0x7ff5a84809a0>
2022-11-23T01:30:19.8146356Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8146418Z             }
2022-11-23T01:30:19.8146479Z             
2022-11-23T01:30:19.8146548Z  - 
2022-11-23T01:30:19.8146674Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8146724Z             {
2022-11-23T01:30:19.8146857Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8147023Z                 'code': ['___check_obj_id(model, 140692657268784)'],
2022-11-23T01:30:19.8147139Z                 'obj_weakref': None
2022-11-23T01:30:19.8147366Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8147428Z             }
2022-11-23T01:30:19.8147487Z             
2022-11-23T01:30:19.8147542Z  - 
2022-11-23T01:30:19.8147659Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8147721Z             {
2022-11-23T01:30:19.8147856Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8148068Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8148182Z                 'obj_weakref': None
2022-11-23T01:30:19.8148399Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8148451Z             }
2022-11-23T01:30:19.8148510Z             
2022-11-23T01:30:19.8148605Z  - 
2022-11-23T01:30:19.8148736Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8148797Z             {
2022-11-23T01:30:19.8148913Z                 'guard_types': None,
2022-11-23T01:30:19.8149016Z                 'code': None,
2022-11-23T01:30:19.8149119Z                 'obj_weakref': None
2022-11-23T01:30:19.8149239Z                 'guarded_class': None
2022-11-23T01:30:19.8149303Z             }
2022-11-23T01:30:19.8149364Z             
2022-11-23T01:30:19.8149624Z [2022-11-23 01:24:14,041] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 174
2022-11-23T01:30:19.8149993Z [2022-11-23 01:24:15,548] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cn/ccngzeftiklv66xnnybve5dect6uakwuulnl726rkrdwdemdri2k.py
2022-11-23T01:30:19.8150284Z [2022-11-23 01:24:15,548] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 174
2022-11-23T01:30:19.8150289Z 
2022-11-23T01:30:19.8150385Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8150442Z import torch
2022-11-23T01:30:19.8150509Z import random
2022-11-23T01:30:19.8150622Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8150739Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8150744Z 
2022-11-23T01:30:19.8150819Z aten = torch.ops.aten
2022-11-23T01:30:19.8150949Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8151039Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8151044Z 
2022-11-23T01:30:19.8151048Z 
2022-11-23T01:30:19.8151168Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8151371Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8151487Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8151589Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8151681Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8151744Z {
2022-11-23T01:30:19.8151840Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8151901Z     {
2022-11-23T01:30:19.8151965Z         #pragma omp for 
2022-11-23T01:30:19.8152045Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:19.8152107Z         {
2022-11-23T01:30:19.8152183Z             #pragma GCC ivdep
2022-11-23T01:30:19.8152262Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:30:19.8152324Z             {
2022-11-23T01:30:19.8152376Z                 {
2022-11-23T01:30:19.8152441Z                     {
2022-11-23T01:30:19.8152608Z                         auto tmp0 = in_ptr0[5 + ((-1)*i1) + (6*i0)];
2022-11-23T01:30:19.8152700Z                         out_ptr0[i1 + (6*i0)] = tmp0;
2022-11-23T01:30:19.8152770Z                     }
2022-11-23T01:30:19.8152832Z                 }
2022-11-23T01:30:19.8152894Z             }
2022-11-23T01:30:19.8152943Z         }
2022-11-23T01:30:19.8153033Z         #pragma omp for  collapse(2)
2022-11-23T01:30:19.8153114Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.8153174Z         {
2022-11-23T01:30:19.8153254Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:30:19.8153315Z             {
2022-11-23T01:30:19.8153393Z                 #pragma GCC ivdep
2022-11-23T01:30:19.8153469Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:30:19.8153533Z                 {
2022-11-23T01:30:19.8153596Z                     {
2022-11-23T01:30:19.8153661Z                         {
2022-11-23T01:30:19.8153929Z                             auto tmp0 = in_ptr0[30 + i1 + ((-6)*i2) + (36*i0)];
2022-11-23T01:30:19.8154040Z                             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.8154184Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.8154273Z                             out_ptr1[i2 + (6*i1) + (36*i0)] = tmp2;
2022-11-23T01:30:19.8154342Z                         }
2022-11-23T01:30:19.8154413Z                     }
2022-11-23T01:30:19.8154476Z                 }
2022-11-23T01:30:19.8154573Z             }
2022-11-23T01:30:19.8154634Z         }
2022-11-23T01:30:19.8154695Z     }
2022-11-23T01:30:19.8154743Z }
2022-11-23T01:30:19.8154817Z ''')
2022-11-23T01:30:19.8154822Z 
2022-11-23T01:30:19.8154826Z 
2022-11-23T01:30:19.8154912Z async_compile.wait(globals())
2022-11-23T01:30:19.8154982Z del async_compile
2022-11-23T01:30:19.8154986Z 
2022-11-23T01:30:19.8155064Z def call(args):
2022-11-23T01:30:19.8155166Z     arg0_1, = args
2022-11-23T01:30:19.8155262Z     args.clear()
2022-11-23T01:30:19.8155500Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8155705Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 1, 6), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8155868Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8155973Z     del arg0_1
2022-11-23T01:30:19.8156048Z     return (buf0, buf1, )
2022-11-23T01:30:19.8156053Z 
2022-11-23T01:30:19.8156058Z 
2022-11-23T01:30:19.8156134Z if __name__ == "__main__":
2022-11-23T01:30:19.8156249Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8156369Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8156567Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8156670Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8156675Z 
2022-11-23T01:30:19.8156741Z ok (1.534s)
2022-11-23T01:30:19.8157036Z   test_fmod_cpu (__main__.CpuTests) ... [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8157350Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8157565Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8157820Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8158096Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8158411Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8158745Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8159068Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8159441Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665> 
2022-11-23T01:30:19.8159538Z  2666           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8159631Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:30:19.8159719Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8159807Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8159894Z                8 CALL_METHOD              2
2022-11-23T01:30:19.8159985Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8160062Z               12 LOAD_METHOD              1 (fmod)
2022-11-23T01:30:19.8160147Z               14 LOAD_CONST               1 (3.0)
2022-11-23T01:30:19.8160233Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8160311Z               18 BINARY_MULTIPLY
2022-11-23T01:30:19.8160397Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8160485Z               22 CALL_METHOD              2
2022-11-23T01:30:19.8160572Z               24 LOAD_CONST               2 (2.0)
2022-11-23T01:30:19.8160668Z               26 BINARY_SUBTRACT
2022-11-23T01:30:19.8160754Z               28 BUILD_TUPLE              2
2022-11-23T01:30:19.8160827Z               30 RETURN_VALUE
2022-11-23T01:30:19.8160886Z  
2022-11-23T01:30:19.8160892Z 
2022-11-23T01:30:19.8161205Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2666
2022-11-23T01:30:19.8161421Z [2022-11-23 01:24:15,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8161782Z [2022-11-23 01:24:15,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8162096Z [2022-11-23 01:24:15,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8162472Z [2022-11-23 01:24:15,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8162841Z [2022-11-23 01:24:15,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8163082Z [2022-11-23 01:24:15,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.8163467Z [2022-11-23 01:24:15,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8163814Z [2022-11-23 01:24:15,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8164201Z [2022-11-23 01:24:15,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), ConstantVariable(float)]
2022-11-23T01:30:19.8164632Z [2022-11-23 01:24:15,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:19.8164997Z [2022-11-23 01:24:15,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8165400Z [2022-11-23 01:24:15,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8165665Z [2022-11-23 01:24:15,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8166112Z [2022-11-23 01:24:15,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.8166381Z [2022-11-23 01:24:15,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8166622Z [2022-11-23 01:24:15,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8166984Z [2022-11-23 01:24:15,559] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2665>
2022-11-23T01:30:19.8167225Z [2022-11-23 01:24:15,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8167453Z [2022-11-23 01:24:15,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8167751Z [2022-11-23 01:24:15,561] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8168000Z [2022-11-23 01:24:15,566] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8168184Z [2022-11-23 01:24:15,566] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8168315Z  __compiled_fn_176 <eval_with_key>.1520 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8168402Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8168486Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8168707Z call_function, fmod, <built-in method fmod of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.8168878Z call_function, mul, <built-in function mul>, (3.0, ex_0_), {}
2022-11-23T01:30:19.8169107Z call_function, fmod_1, <built-in method fmod of type object at 0x7ff5d7c59c60>, (mul, ex_1_), {}
2022-11-23T01:30:19.8169308Z call_function, sub, <built-in function sub>, (fmod_1, 2.0), {}
2022-11-23T01:30:19.8169409Z output, output, output, ((fmod, sub),), {}
2022-11-23T01:30:19.8169417Z 
2022-11-23T01:30:19.8169739Z [2022-11-23 01:24:15,566] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8169833Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8169922Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8169995Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8170086Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8170169Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8170258Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8170332Z              12 RETURN_VALUE
2022-11-23T01:30:19.8170337Z 
2022-11-23T01:30:19.8170399Z  
2022-11-23T01:30:19.8170714Z [2022-11-23 01:24:15,566] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8170823Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_176)
2022-11-23T01:30:19.8170901Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8170988Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8171063Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8171149Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8171236Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8171311Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8171400Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.8171491Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8171592Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8171681Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8171757Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8171859Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8171945Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8172022Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8172097Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.8172171Z              32 RETURN_VALUE
2022-11-23T01:30:19.8172176Z 
2022-11-23T01:30:19.8172235Z  
2022-11-23T01:30:19.8172417Z [2022-11-23 01:24:15,567] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8172489Z  - 
2022-11-23T01:30:19.8172608Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8172673Z             {
2022-11-23T01:30:19.8172802Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8172986Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.8173105Z                 'obj_weakref': None
2022-11-23T01:30:19.8173329Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8173397Z             }
2022-11-23T01:30:19.8173463Z             
2022-11-23T01:30:19.8173532Z  - 
2022-11-23T01:30:19.8173669Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8173735Z             {
2022-11-23T01:30:19.8173875Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8173981Z                 'code': None,
2022-11-23T01:30:19.8174192Z                 'obj_weakref': <weakref at 0x7ff58f904b30; to 'Tensor' at 0x7ff5a80d3290>
2022-11-23T01:30:19.8174445Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8174508Z             }
2022-11-23T01:30:19.8174559Z             
2022-11-23T01:30:19.8174631Z  - 
2022-11-23T01:30:19.8174752Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8174814Z             {
2022-11-23T01:30:19.8174954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8175059Z                 'code': None,
2022-11-23T01:30:19.8175297Z                 'obj_weakref': <weakref at 0x7ff58fdf2ca0; to 'Tensor' at 0x7ff58fcbb8d0>
2022-11-23T01:30:19.8175551Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8175602Z             }
2022-11-23T01:30:19.8175665Z             
2022-11-23T01:30:19.8175734Z  - 
2022-11-23T01:30:19.8175862Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8175925Z             {
2022-11-23T01:30:19.8176058Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8176213Z                 'code': ['___check_obj_id(model, 140693062688416)'],
2022-11-23T01:30:19.8176330Z                 'obj_weakref': None
2022-11-23T01:30:19.8176677Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8176743Z             }
2022-11-23T01:30:19.8176806Z             
2022-11-23T01:30:19.8176874Z  - 
2022-11-23T01:30:19.8176995Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8177048Z             {
2022-11-23T01:30:19.8177183Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8177406Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8177523Z                 'obj_weakref': None
2022-11-23T01:30:19.8177741Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8177802Z             }
2022-11-23T01:30:19.8177863Z             
2022-11-23T01:30:19.8177918Z  - 
2022-11-23T01:30:19.8178048Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8178109Z             {
2022-11-23T01:30:19.8178226Z                 'guard_types': None,
2022-11-23T01:30:19.8178331Z                 'code': None,
2022-11-23T01:30:19.8178447Z                 'obj_weakref': None
2022-11-23T01:30:19.8178567Z                 'guarded_class': None
2022-11-23T01:30:19.8178617Z             }
2022-11-23T01:30:19.8178680Z             
2022-11-23T01:30:19.8178937Z [2022-11-23 01:24:15,574] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 175
2022-11-23T01:30:19.8179305Z [2022-11-23 01:24:17,044] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2a/c2auje5pphpwb5hkvudshmalc5j4bniiuu3kdlijvsfceclgfbe6.py
2022-11-23T01:30:19.8179564Z [2022-11-23 01:24:17,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 175
2022-11-23T01:30:19.8179570Z 
2022-11-23T01:30:19.8179661Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8179727Z import torch
2022-11-23T01:30:19.8179801Z import random
2022-11-23T01:30:19.8179903Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8180022Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8180027Z 
2022-11-23T01:30:19.8180102Z aten = torch.ops.aten
2022-11-23T01:30:19.8180232Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8180323Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8180329Z 
2022-11-23T01:30:19.8180333Z 
2022-11-23T01:30:19.8180462Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8180714Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8180835Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8180926Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8181023Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8181118Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8181179Z {
2022-11-23T01:30:19.8181271Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8185579Z     {
2022-11-23T01:30:19.8185665Z         #pragma omp for 
2022-11-23T01:30:19.8185747Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:30:19.8185809Z         {
2022-11-23T01:30:19.8185958Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8186169Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.8186260Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T01:30:19.8186386Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2022-11-23T01:30:19.8186470Z             auto tmp4 = tmp0 * tmp3;
2022-11-23T01:30:19.8186561Z             auto tmp5 = tmp4.fmod(tmp1);
2022-11-23T01:30:19.8186697Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2022-11-23T01:30:19.8186842Z             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:30:19.8186928Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8187013Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8187062Z         }
2022-11-23T01:30:19.8187155Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8187238Z         for(long i0=72; i0<72; i0+=1)
2022-11-23T01:30:19.8187298Z         {
2022-11-23T01:30:19.8187380Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8187460Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.8187558Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:30:19.8187647Z             auto tmp3 = static_cast<float>(3.0);
2022-11-23T01:30:19.8187729Z             auto tmp4 = tmp0 * tmp3;
2022-11-23T01:30:19.8187825Z             auto tmp5 = std::fmod(tmp4, tmp1);
2022-11-23T01:30:19.8187922Z             auto tmp6 = static_cast<float>(2.0);
2022-11-23T01:30:19.8188046Z             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:30:19.8188126Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.8188203Z             out_ptr1[i0] = tmp7;
2022-11-23T01:30:19.8188252Z         }
2022-11-23T01:30:19.8188313Z     }
2022-11-23T01:30:19.8188373Z }
2022-11-23T01:30:19.8188446Z ''')
2022-11-23T01:30:19.8188453Z 
2022-11-23T01:30:19.8188458Z 
2022-11-23T01:30:19.8188545Z async_compile.wait(globals())
2022-11-23T01:30:19.8188613Z del async_compile
2022-11-23T01:30:19.8188618Z 
2022-11-23T01:30:19.8188687Z def call(args):
2022-11-23T01:30:19.8188754Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8188823Z     args.clear()
2022-11-23T01:30:19.8189035Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8189243Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8189434Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8189500Z     del arg0_1
2022-11-23T01:30:19.8189566Z     del arg1_1
2022-11-23T01:30:19.8189639Z     return (buf0, buf1, )
2022-11-23T01:30:19.8189644Z 
2022-11-23T01:30:19.8189648Z 
2022-11-23T01:30:19.8189711Z if __name__ == "__main__":
2022-11-23T01:30:19.8189824Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8189946Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8190154Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8190363Z     arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8190475Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8190516Z 
2022-11-23T01:30:19.8190581Z ok (1.496s)
2022-11-23T01:30:19.8190898Z   test_fmod_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:24:17,049] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8191204Z [2022-11-23 01:24:17,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8191420Z [2022-11-23 01:24:17,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8191672Z [2022-11-23 01:24:17,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8191949Z [2022-11-23 01:24:17,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8192297Z [2022-11-23 01:24:17,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8192645Z [2022-11-23 01:24:17,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8192967Z [2022-11-23 01:24:17,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8193345Z [2022-11-23 01:24:17,050] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:30:19.8193439Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8193532Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:30:19.8193610Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8193702Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8193788Z                8 CALL_METHOD              2
2022-11-23T01:30:19.8193984Z               10 BUILD_TUPLE              1
2022-11-23T01:30:19.8194062Z               12 RETURN_VALUE
2022-11-23T01:30:19.8194118Z  
2022-11-23T01:30:19.8194124Z 
2022-11-23T01:30:19.8194440Z [2022-11-23 01:24:17,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T01:30:19.8194657Z [2022-11-23 01:24:17,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8195013Z [2022-11-23 01:24:17,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8195330Z [2022-11-23 01:24:17,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8195677Z [2022-11-23 01:24:17,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8196059Z [2022-11-23 01:24:17,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8196298Z [2022-11-23 01:24:17,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.8196543Z [2022-11-23 01:24:17,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8196919Z [2022-11-23 01:24:17,051] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T01:30:19.8197164Z [2022-11-23 01:24:17,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8197397Z [2022-11-23 01:24:17,051] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8197686Z [2022-11-23 01:24:17,052] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8197936Z [2022-11-23 01:24:17,055] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8198111Z [2022-11-23 01:24:17,056] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8198242Z  __compiled_fn_177 <eval_with_key>.1526 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8198328Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8198411Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8198645Z call_function, fmod, <built-in method fmod of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.8198738Z output, output, output, ((fmod,),), {}
2022-11-23T01:30:19.8198772Z 
2022-11-23T01:30:19.8199101Z [2022-11-23 01:24:17,056] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8199194Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8199271Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8199353Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8199445Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8199527Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8199610Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8199682Z              12 RETURN_VALUE
2022-11-23T01:30:19.8199688Z 
2022-11-23T01:30:19.8199745Z  
2022-11-23T01:30:19.8200052Z [2022-11-23 01:24:17,056] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8200158Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_177)
2022-11-23T01:30:19.8200247Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8200333Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8200409Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8200494Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8200577Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8200651Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8200725Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.8200826Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8200926Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8201009Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8201084Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8201166Z              24 BUILD_TUPLE              1
2022-11-23T01:30:19.8201238Z              26 RETURN_VALUE
2022-11-23T01:30:19.8201243Z 
2022-11-23T01:30:19.8201293Z  
2022-11-23T01:30:19.8201471Z [2022-11-23 01:24:17,057] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8201539Z  - 
2022-11-23T01:30:19.8201654Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8201718Z             {
2022-11-23T01:30:19.8201854Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8202036Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.8202143Z                 'obj_weakref': None
2022-11-23T01:30:19.8202363Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8202427Z             }
2022-11-23T01:30:19.8202488Z             
2022-11-23T01:30:19.8202557Z  - 
2022-11-23T01:30:19.8202677Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8202739Z             {
2022-11-23T01:30:19.8202867Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8202972Z                 'code': None,
2022-11-23T01:30:19.8203188Z                 'obj_weakref': <weakref at 0x7ff58fd26c00; to 'Tensor' at 0x7ff58fe07c90>
2022-11-23T01:30:19.8203465Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8203528Z             }
2022-11-23T01:30:19.8203589Z             
2022-11-23T01:30:19.8203655Z  - 
2022-11-23T01:30:19.8203765Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8203824Z             {
2022-11-23T01:30:19.8203963Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8204066Z                 'code': None,
2022-11-23T01:30:19.8204272Z                 'obj_weakref': <weakref at 0x7ff58fe59350; to 'Tensor' at 0x7ff58feca020>
2022-11-23T01:30:19.8204521Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8204582Z             }
2022-11-23T01:30:19.8204632Z             
2022-11-23T01:30:19.8204697Z  - 
2022-11-23T01:30:19.8204825Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8204913Z             {
2022-11-23T01:30:19.8205046Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8205213Z                 'code': ['___check_obj_id(model, 140693062682656)'],
2022-11-23T01:30:19.8205329Z                 'obj_weakref': None
2022-11-23T01:30:19.8205543Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8205604Z             }
2022-11-23T01:30:19.8205664Z             
2022-11-23T01:30:19.8205729Z  - 
2022-11-23T01:30:19.8205846Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8205909Z             {
2022-11-23T01:30:19.8206044Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8206248Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8206361Z                 'obj_weakref': None
2022-11-23T01:30:19.8206578Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8206642Z             }
2022-11-23T01:30:19.8206702Z             
2022-11-23T01:30:19.8206768Z  - 
2022-11-23T01:30:19.8206899Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8206949Z             {
2022-11-23T01:30:19.8207065Z                 'guard_types': None,
2022-11-23T01:30:19.8207169Z                 'code': None,
2022-11-23T01:30:19.8207282Z                 'obj_weakref': None
2022-11-23T01:30:19.8207400Z                 'guarded_class': None
2022-11-23T01:30:19.8207460Z             }
2022-11-23T01:30:19.8207520Z             
2022-11-23T01:30:19.8207767Z [2022-11-23 01:24:17,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 176
2022-11-23T01:30:19.8208139Z [2022-11-23 01:24:18,500] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ky/ckylptof3t5i3y4bxmbjr7udiesgzf2pxpddmsddnvakruqp7jmd.py
2022-11-23T01:30:19.8208400Z [2022-11-23 01:24:18,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 176
2022-11-23T01:30:19.8208636Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8208948Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8209161Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8209407Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8209681Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8209996Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8210325Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8210673Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8211046Z [2022-11-23 01:24:18,504] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:30:19.8211139Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8211227Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:30:19.8211313Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8211398Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8211485Z                8 CALL_METHOD              2
2022-11-23T01:30:19.8211570Z               10 BUILD_TUPLE              1
2022-11-23T01:30:19.8211662Z               12 RETURN_VALUE
2022-11-23T01:30:19.8211721Z  
2022-11-23T01:30:19.8211727Z 
2022-11-23T01:30:19.8212043Z [2022-11-23 01:24:18,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2673
2022-11-23T01:30:19.8212256Z [2022-11-23 01:24:18,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8212618Z [2022-11-23 01:24:18,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8212936Z [2022-11-23 01:24:18,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8213279Z [2022-11-23 01:24:18,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8213660Z [2022-11-23 01:24:18,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8213896Z [2022-11-23 01:24:18,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.8214137Z [2022-11-23 01:24:18,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8214501Z [2022-11-23 01:24:18,507] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2672>
2022-11-23T01:30:19.8214742Z [2022-11-23 01:24:18,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8214974Z [2022-11-23 01:24:18,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8215221Z [2022-11-23 01:24:18,508] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8215471Z [2022-11-23 01:24:18,510] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8215655Z [2022-11-23 01:24:18,510] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8215788Z  __compiled_fn_178 <eval_with_key>.1532 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8215875Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8215956Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8216180Z call_function, fmod, <built-in method fmod of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.8216272Z output, output, output, ((fmod,),), {}
2022-11-23T01:30:19.8216277Z 
2022-11-23T01:30:19.8216820Z [2022-11-23 01:24:18,511] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8216916Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8217011Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8217099Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8217258Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8217345Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8217420Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8217494Z              12 RETURN_VALUE
2022-11-23T01:30:19.8217499Z 
2022-11-23T01:30:19.8217560Z  
2022-11-23T01:30:19.8217891Z [2022-11-23 01:24:18,511] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8217998Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_178)
2022-11-23T01:30:19.8218087Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8218176Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8218240Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8218391Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8218475Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8218550Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8218638Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.8218744Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8218844Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8218919Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8218993Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8219079Z              24 BUILD_TUPLE              1
2022-11-23T01:30:19.8219154Z              26 RETURN_VALUE
2022-11-23T01:30:19.8219159Z 
2022-11-23T01:30:19.8219219Z  
2022-11-23T01:30:19.8219401Z [2022-11-23 01:24:18,511] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8219470Z  - 
2022-11-23T01:30:19.8219578Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8219643Z             {
2022-11-23T01:30:19.8219785Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8219969Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.8220089Z                 'obj_weakref': None
2022-11-23T01:30:19.8220317Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8220382Z             }
2022-11-23T01:30:19.8220445Z             
2022-11-23T01:30:19.8220500Z  - 
2022-11-23T01:30:19.8220622Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8220685Z             {
2022-11-23T01:30:19.8220826Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8220932Z                 'code': None,
2022-11-23T01:30:19.8221142Z                 'obj_weakref': <weakref at 0x7ff58fdf14e0; to 'Tensor' at 0x7ff58fe07c90>
2022-11-23T01:30:19.8221391Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8221444Z             }
2022-11-23T01:30:19.8221505Z             
2022-11-23T01:30:19.8221569Z  - 
2022-11-23T01:30:19.8221691Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8221753Z             {
2022-11-23T01:30:19.8221892Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8221984Z                 'code': None,
2022-11-23T01:30:19.8222190Z                 'obj_weakref': <weakref at 0x7ff58fdf2020; to 'Tensor' at 0x7ff58fcbbce0>
2022-11-23T01:30:19.8222437Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8222497Z             }
2022-11-23T01:30:19.8222557Z             
2022-11-23T01:30:19.8222626Z  - 
2022-11-23T01:30:19.8222754Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8222814Z             {
2022-11-23T01:30:19.8222934Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8223105Z                 'code': ['___check_obj_id(model, 140693062682656)'],
2022-11-23T01:30:19.8223224Z                 'obj_weakref': None
2022-11-23T01:30:19.8223449Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8223537Z             }
2022-11-23T01:30:19.8223599Z             
2022-11-23T01:30:19.8223665Z  - 
2022-11-23T01:30:19.8223773Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8223832Z             {
2022-11-23T01:30:19.8223964Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8224176Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8224292Z                 'obj_weakref': None
2022-11-23T01:30:19.8224507Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8224569Z             }
2022-11-23T01:30:19.8224619Z             
2022-11-23T01:30:19.8224684Z  - 
2022-11-23T01:30:19.8224813Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8224901Z             {
2022-11-23T01:30:19.8225017Z                 'guard_types': None,
2022-11-23T01:30:19.8225123Z                 'code': None,
2022-11-23T01:30:19.8225227Z                 'obj_weakref': None
2022-11-23T01:30:19.8225347Z                 'guarded_class': None
2022-11-23T01:30:19.8225406Z             }
2022-11-23T01:30:19.8225465Z             
2022-11-23T01:30:19.8225721Z [2022-11-23 01:24:18,516] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 177
2022-11-23T01:30:19.8226087Z [2022-11-23 01:24:19,922] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4surmslvoq7lkc5hkv6vvqibdltpg3tz55vxpjjm26jhyjgraan.py
2022-11-23T01:30:19.8226350Z [2022-11-23 01:24:19,923] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 177
2022-11-23T01:30:19.8226356Z 
2022-11-23T01:30:19.8226448Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8226503Z import torch
2022-11-23T01:30:19.8226568Z import random
2022-11-23T01:30:19.8226681Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8226799Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8226805Z 
2022-11-23T01:30:19.8226883Z aten = torch.ops.aten
2022-11-23T01:30:19.8227013Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8227102Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8227107Z 
2022-11-23T01:30:19.8227111Z 
2022-11-23T01:30:19.8227240Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8227432Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8227548Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8227648Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8227743Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8227801Z {
2022-11-23T01:30:19.8227895Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8227953Z     {
2022-11-23T01:30:19.8228018Z         #pragma omp for 
2022-11-23T01:30:19.8228097Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.8228158Z         {
2022-11-23T01:30:19.8228300Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8228418Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:30:19.8228506Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T01:30:19.8228592Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8228640Z         }
2022-11-23T01:30:19.8228729Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8228812Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:19.8228870Z         {
2022-11-23T01:30:19.8228951Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8229030Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:30:19.8229126Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:30:19.8229195Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.8229255Z         }
2022-11-23T01:30:19.8229316Z     }
2022-11-23T01:30:19.8229373Z }
2022-11-23T01:30:19.8229447Z ''')
2022-11-23T01:30:19.8229452Z 
2022-11-23T01:30:19.8229457Z 
2022-11-23T01:30:19.8229544Z async_compile.wait(globals())
2022-11-23T01:30:19.8229640Z del async_compile
2022-11-23T01:30:19.8229645Z 
2022-11-23T01:30:19.8229714Z def call(args):
2022-11-23T01:30:19.8229776Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8229843Z     args.clear()
2022-11-23T01:30:19.8230034Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8230194Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8230260Z     del arg0_1
2022-11-23T01:30:19.8230324Z     del arg1_1
2022-11-23T01:30:19.8230394Z     return (buf0, )
2022-11-23T01:30:19.8230399Z 
2022-11-23T01:30:19.8230403Z 
2022-11-23T01:30:19.8230466Z if __name__ == "__main__":
2022-11-23T01:30:19.8230577Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8230725Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8230917Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8231101Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8231214Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8231219Z 
2022-11-23T01:30:19.8231223Z 
2022-11-23T01:30:19.8231312Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8231379Z import torch
2022-11-23T01:30:19.8231435Z import random
2022-11-23T01:30:19.8231547Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8231662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8231667Z 
2022-11-23T01:30:19.8231741Z aten = torch.ops.aten
2022-11-23T01:30:19.8231872Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8231961Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8231965Z 
2022-11-23T01:30:19.8231969Z 
2022-11-23T01:30:19.8232102Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8232303Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8232411Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8232511Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8232607Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8232665Z {
2022-11-23T01:30:19.8232759Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8232820Z     {
2022-11-23T01:30:19.8232894Z         #pragma omp for 
2022-11-23T01:30:19.8232962Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.8233022Z         {
2022-11-23T01:30:19.8233142Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:30:19.8233271Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.8233357Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T01:30:19.8233447Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8233507Z         }
2022-11-23T01:30:19.8233587Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8233669Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:19.8233729Z         {
2022-11-23T01:30:19.8233901Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:30:19.8233985Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.8234083Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:30:19.8234164Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.8234213Z         }
2022-11-23T01:30:19.8234272Z     }
2022-11-23T01:30:19.8234331Z }
2022-11-23T01:30:19.8234412Z ''')
2022-11-23T01:30:19.8234417Z 
2022-11-23T01:30:19.8234422Z 
2022-11-23T01:30:19.8234510Z async_compile.wait(globals())
2022-11-23T01:30:19.8234582Z del async_compile
2022-11-23T01:30:19.8234586Z 
2022-11-23T01:30:19.8234655Z def call(args):
2022-11-23T01:30:19.8234717Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8234785Z     args.clear()
2022-11-23T01:30:19.8234980Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8235183Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8235252Z     del arg0_1
2022-11-23T01:30:19.8235317Z     del arg1_1
2022-11-23T01:30:19.8235386Z     return (buf0, )
2022-11-23T01:30:19.8235391Z 
2022-11-23T01:30:19.8235395Z 
2022-11-23T01:30:19.8235470Z if __name__ == "__main__":
2022-11-23T01:30:19.8235572Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8235691Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8235872Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8236060Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8236171Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8236175Z 
2022-11-23T01:30:19.8236241Z ok (2.879s)
2022-11-23T01:30:19.8236575Z   test_full_like_cpu (__main__.CpuTests) ... [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8236890Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8237095Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8237344Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8237622Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8237940Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8238281Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8238602Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8238974Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f75d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806> 
2022-11-23T01:30:19.8239067Z  2807           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8239159Z                2 LOAD_METHOD              1 (full_like)
2022-11-23T01:30:19.8239249Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8239327Z                6 LOAD_CONST               1 (7.777)
2022-11-23T01:30:19.8239410Z                8 CALL_METHOD              2
2022-11-23T01:30:19.8239495Z               10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8239572Z               12 BINARY_SUBTRACT
2022-11-23T01:30:19.8239646Z               14 RETURN_VALUE
2022-11-23T01:30:19.8239703Z  
2022-11-23T01:30:19.8239709Z 
2022-11-23T01:30:19.8240020Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2807
2022-11-23T01:30:19.8240224Z [2022-11-23 01:24:19,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8240594Z [2022-11-23 01:24:19,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8240915Z [2022-11-23 01:24:19,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method full_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8241266Z [2022-11-23 01:24:19,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7.777 [TorchVariable(<built-in method full_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8241695Z [2022-11-23 01:24:19,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method full_like of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.8241931Z [2022-11-23 01:24:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.8242213Z [2022-11-23 01:24:19,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8242456Z [2022-11-23 01:24:19,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8242830Z [2022-11-23 01:24:19,931] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f75d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2806>
2022-11-23T01:30:19.8243074Z [2022-11-23 01:24:19,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8243333Z [2022-11-23 01:24:19,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8243575Z [2022-11-23 01:24:19,932] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8243821Z [2022-11-23 01:24:19,935] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8244007Z [2022-11-23 01:24:19,935] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8244135Z  __compiled_fn_179 <eval_with_key>.1538 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8244221Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8244465Z call_function, full_like, <built-in method full_like of type object at 0x7ff5d7c59c60>, (ex_0_, 7.777), {}
2022-11-23T01:30:19.8244641Z call_function, sub, <built-in function sub>, (full_like, 1), {}
2022-11-23T01:30:19.8244735Z output, output, output, ((sub,),), {}
2022-11-23T01:30:19.8244742Z 
2022-11-23T01:30:19.8245066Z [2022-11-23 01:24:19,936] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8245147Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8245233Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8245315Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8245403Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8245485Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8245573Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8245647Z              12 RETURN_VALUE
2022-11-23T01:30:19.8245652Z 
2022-11-23T01:30:19.8245699Z  
2022-11-23T01:30:19.8246017Z [2022-11-23 01:24:19,936] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8246123Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_179)
2022-11-23T01:30:19.8246210Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8246297Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8246376Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8246460Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8246546Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8246607Z              12 RETURN_VALUE
2022-11-23T01:30:19.8246612Z 
2022-11-23T01:30:19.8246669Z  
2022-11-23T01:30:19.8246850Z [2022-11-23 01:24:19,936] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8246919Z  - 
2022-11-23T01:30:19.8247035Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8247097Z             {
2022-11-23T01:30:19.8247235Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8247407Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8247523Z                 'obj_weakref': None
2022-11-23T01:30:19.8247747Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8247808Z             }
2022-11-23T01:30:19.8247868Z             
2022-11-23T01:30:19.8247962Z  - 
2022-11-23T01:30:19.8248085Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8248135Z             {
2022-11-23T01:30:19.8248274Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8248378Z                 'code': None,
2022-11-23T01:30:19.8248584Z                 'obj_weakref': <weakref at 0x7ff58f91da30; to 'Tensor' at 0x7ff58fe76750>
2022-11-23T01:30:19.8248837Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8248900Z             }
2022-11-23T01:30:19.8248961Z             
2022-11-23T01:30:19.8249016Z  - 
2022-11-23T01:30:19.8249145Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8249204Z             {
2022-11-23T01:30:19.8249335Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8249527Z                 'code': ['___check_obj_id(model, 140692657264032)'],
2022-11-23T01:30:19.8249644Z                 'obj_weakref': None
2022-11-23T01:30:19.8249874Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8249925Z             }
2022-11-23T01:30:19.8249986Z             
2022-11-23T01:30:19.8250055Z  - 
2022-11-23T01:30:19.8250171Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8250231Z             {
2022-11-23T01:30:19.8250365Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8250578Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8250682Z                 'obj_weakref': None
2022-11-23T01:30:19.8250898Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8250962Z             }
2022-11-23T01:30:19.8251022Z             
2022-11-23T01:30:19.8251088Z  - 
2022-11-23T01:30:19.8251217Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8251277Z             {
2022-11-23T01:30:19.8251385Z                 'guard_types': None,
2022-11-23T01:30:19.8251491Z                 'code': None,
2022-11-23T01:30:19.8251605Z                 'obj_weakref': None
2022-11-23T01:30:19.8251724Z                 'guarded_class': None
2022-11-23T01:30:19.8251787Z             }
2022-11-23T01:30:19.8251847Z             
2022-11-23T01:30:19.8252101Z [2022-11-23 01:24:19,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 178
2022-11-23T01:30:19.8252459Z [2022-11-23 01:24:21,348] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xj/cxjfcxle2qbjyqwriwjerg6ttqqndn6iek5zdyhjyusw4zxzsutf.py
2022-11-23T01:30:19.8252721Z [2022-11-23 01:24:21,348] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 178
2022-11-23T01:30:19.8252727Z 
2022-11-23T01:30:19.8252819Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8252886Z import torch
2022-11-23T01:30:19.8252952Z import random
2022-11-23T01:30:19.8253061Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8253181Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8253186Z 
2022-11-23T01:30:19.8253260Z aten = torch.ops.aten
2022-11-23T01:30:19.8253380Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8253470Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8253475Z 
2022-11-23T01:30:19.8253479Z 
2022-11-23T01:30:19.8253610Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8253813Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8253924Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8253983Z {
2022-11-23T01:30:19.8254079Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8254138Z     {
2022-11-23T01:30:19.8254201Z         #pragma omp for 
2022-11-23T01:30:19.8254282Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.8254341Z         {
2022-11-23T01:30:19.8254509Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(7.777));
2022-11-23T01:30:19.8254642Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8254765Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.8254856Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8254906Z         }
2022-11-23T01:30:19.8255000Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8255078Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:19.8255138Z         {
2022-11-23T01:30:19.8255237Z             auto tmp0 = static_cast<float>(7.777);
2022-11-23T01:30:19.8255331Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8255452Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.8255519Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.8255580Z         }
2022-11-23T01:30:19.8255669Z     }
2022-11-23T01:30:19.8255728Z }
2022-11-23T01:30:19.8255806Z ''')
2022-11-23T01:30:19.8255811Z 
2022-11-23T01:30:19.8255815Z 
2022-11-23T01:30:19.8255903Z async_compile.wait(globals())
2022-11-23T01:30:19.8255977Z del async_compile
2022-11-23T01:30:19.8255982Z 
2022-11-23T01:30:19.8256039Z def call(args):
2022-11-23T01:30:19.8256105Z     arg0_1, = args
2022-11-23T01:30:19.8256173Z     args.clear()
2022-11-23T01:30:19.8256362Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8256595Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8256667Z     return (buf0, )
2022-11-23T01:30:19.8256672Z 
2022-11-23T01:30:19.8256676Z 
2022-11-23T01:30:19.8256750Z if __name__ == "__main__":
2022-11-23T01:30:19.8256850Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8256970Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8257164Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8257272Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8257277Z 
2022-11-23T01:30:19.8257342Z ok (1.426s)
2022-11-23T01:30:19.8257655Z   test_fuse_tiled_cpu (__main__.CpuTests) ... [2022-11-23 01:24:21,354] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8257969Z [2022-11-23 01:24:21,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8258185Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8258439Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8258703Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8259022Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8259373Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8259696Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8260067Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428> 
2022-11-23T01:30:19.8260159Z  3429           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8260249Z                2 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8260318Z                4 BINARY_ADD
2022-11-23T01:30:19.8260405Z                6 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8260480Z                8 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8260553Z               10 BINARY_ADD
2022-11-23T01:30:19.8260639Z               12 BUILD_TUPLE              2
2022-11-23T01:30:19.8260714Z               14 RETURN_VALUE
2022-11-23T01:30:19.8260834Z  
2022-11-23T01:30:19.8260840Z 
2022-11-23T01:30:19.8261155Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3429
2022-11-23T01:30:19.8261364Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8261600Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:19.8261860Z [2022-11-23 01:24:21,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8262097Z [2022-11-23 01:24:21,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:30:19.8262361Z [2022-11-23 01:24:21,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8262704Z [2022-11-23 01:24:21,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8262970Z [2022-11-23 01:24:21,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8263215Z [2022-11-23 01:24:21,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8263595Z [2022-11-23 01:24:21,358] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3428>
2022-11-23T01:30:19.8263837Z [2022-11-23 01:24:21,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8264070Z [2022-11-23 01:24:21,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8264324Z [2022-11-23 01:24:21,359] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8264562Z [2022-11-23 01:24:21,362] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8264746Z [2022-11-23 01:24:21,363] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8264882Z  __compiled_fn_180 <eval_with_key>.1544 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8264969Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8265055Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8265138Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8265314Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.8265475Z call_function, add_1, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:30:19.8265575Z output, output, output, ((add, add_1),), {}
2022-11-23T01:30:19.8265580Z 
2022-11-23T01:30:19.8265905Z [2022-11-23 01:24:21,363] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8265999Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8266089Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8266175Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8266265Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8266345Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8266421Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8266492Z              12 RETURN_VALUE
2022-11-23T01:30:19.8266497Z 
2022-11-23T01:30:19.8266553Z  
2022-11-23T01:30:19.8266872Z [2022-11-23 01:24:21,363] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8266979Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_180)
2022-11-23T01:30:19.8267069Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8267156Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8267261Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8267338Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8267422Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8267493Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8267577Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8267659Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8267731Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8267814Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8267904Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8268002Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8268086Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8268161Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8268289Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8268373Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8268445Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.8268519Z              36 BUILD_TUPLE              2
2022-11-23T01:30:19.8268593Z              38 RETURN_VALUE
2022-11-23T01:30:19.8268598Z 
2022-11-23T01:30:19.8268655Z  
2022-11-23T01:30:19.8268834Z [2022-11-23 01:24:21,364] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8268903Z  - 
2022-11-23T01:30:19.8269018Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8269081Z             {
2022-11-23T01:30:19.8269209Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8269391Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8269507Z                 'obj_weakref': None
2022-11-23T01:30:19.8269730Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8269792Z             }
2022-11-23T01:30:19.8269852Z             
2022-11-23T01:30:19.8269916Z  - 
2022-11-23T01:30:19.8270027Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8270086Z             {
2022-11-23T01:30:19.8270226Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8270327Z                 'code': None,
2022-11-23T01:30:19.8270538Z                 'obj_weakref': <weakref at 0x7ff58fc15490; to 'Tensor' at 0x7ff58fe76750>
2022-11-23T01:30:19.8270787Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8270849Z             }
2022-11-23T01:30:19.8270908Z             
2022-11-23T01:30:19.8270963Z  - 
2022-11-23T01:30:19.8271081Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8271142Z             {
2022-11-23T01:30:19.8271279Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8271380Z                 'code': None,
2022-11-23T01:30:19.8271589Z                 'obj_weakref': <weakref at 0x7ff58fc15da0; to 'Tensor' at 0x7ff58f905df0>
2022-11-23T01:30:19.8271838Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8271888Z             }
2022-11-23T01:30:19.8271948Z             
2022-11-23T01:30:19.8272016Z  - 
2022-11-23T01:30:19.8272134Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8272193Z             {
2022-11-23T01:30:19.8272330Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8272423Z                 'code': None,
2022-11-23T01:30:19.8272628Z                 'obj_weakref': <weakref at 0x7ff58fc16ed0; to 'Tensor' at 0x7ff5a8182ca0>
2022-11-23T01:30:19.8272875Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8272935Z             }
2022-11-23T01:30:19.8272996Z             
2022-11-23T01:30:19.8273062Z  - 
2022-11-23T01:30:19.8273189Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8273239Z             {
2022-11-23T01:30:19.8273367Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8273566Z                 'code': ['___check_obj_id(model, 140693062682368)'],
2022-11-23T01:30:19.8273685Z                 'obj_weakref': None
2022-11-23T01:30:19.8273996Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8274060Z             }
2022-11-23T01:30:19.8274124Z             
2022-11-23T01:30:19.8274180Z  - 
2022-11-23T01:30:19.8274301Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8274363Z             {
2022-11-23T01:30:19.8274499Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8274711Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8274826Z                 'obj_weakref': None
2022-11-23T01:30:19.8275042Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8275137Z             }
2022-11-23T01:30:19.8275187Z             
2022-11-23T01:30:19.8275447Z [2022-11-23 01:24:21,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 179
2022-11-23T01:30:19.8275815Z [2022-11-23 01:24:22,834] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gx/cgxpohnaetfifzu3rggwtrq2br562nduayfmaswdkn6sm7xatvxn.py
2022-11-23T01:30:19.8276074Z [2022-11-23 01:24:22,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 179
2022-11-23T01:30:19.8276080Z 
2022-11-23T01:30:19.8276171Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8276235Z import torch
2022-11-23T01:30:19.8276302Z import random
2022-11-23T01:30:19.8276414Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8276522Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8276527Z 
2022-11-23T01:30:19.8276604Z aten = torch.ops.aten
2022-11-23T01:30:19.8276739Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8276828Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8276833Z 
2022-11-23T01:30:19.8276839Z 
2022-11-23T01:30:19.8276968Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8277168Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8277287Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8277390Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8277478Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8277574Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8277667Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8277727Z {
2022-11-23T01:30:19.8277825Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8277889Z     {
2022-11-23T01:30:19.8277966Z         #pragma omp for 
2022-11-23T01:30:19.8278038Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.8278097Z         {
2022-11-23T01:30:19.8278179Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:30:19.8278241Z             {
2022-11-23T01:30:19.8278369Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:30:19.8278499Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:30:19.8278585Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8278675Z                 tmp2.store(out_ptr0 + (8*i1) + (128*i0));
2022-11-23T01:30:19.8278737Z             }
2022-11-23T01:30:19.8278828Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.8278914Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:30:19.8278974Z             {
2022-11-23T01:30:19.8279057Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8279140Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:19.8279212Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8279301Z                 out_ptr0[i1 + (128*i0)] = tmp2;
2022-11-23T01:30:19.8279360Z             }
2022-11-23T01:30:19.8279420Z         }
2022-11-23T01:30:19.8279493Z         #pragma omp for 
2022-11-23T01:30:19.8279604Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T01:30:19.8279665Z         {
2022-11-23T01:30:19.8279784Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:30:19.8279911Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8279992Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8280082Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8280143Z         }
2022-11-23T01:30:19.8280236Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8280322Z         for(long i0=16384; i0<16384; i0+=1)
2022-11-23T01:30:19.8280370Z         {
2022-11-23T01:30:19.8280450Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:30:19.8280544Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8280654Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8280732Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.8280793Z         }
2022-11-23T01:30:19.8280852Z     }
2022-11-23T01:30:19.8280901Z }
2022-11-23T01:30:19.8280978Z ''')
2022-11-23T01:30:19.8280982Z 
2022-11-23T01:30:19.8280986Z 
2022-11-23T01:30:19.8281070Z async_compile.wait(globals())
2022-11-23T01:30:19.8281140Z del async_compile
2022-11-23T01:30:19.8281145Z 
2022-11-23T01:30:19.8281218Z def call(args):
2022-11-23T01:30:19.8281299Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8281370Z     args.clear()
2022-11-23T01:30:19.8281560Z     buf0 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8281758Z     buf1 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8281966Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8282035Z     del arg0_1
2022-11-23T01:30:19.8282099Z     del arg1_1
2022-11-23T01:30:19.8282165Z     del arg2_1
2022-11-23T01:30:19.8282239Z     return (buf0, buf1, )
2022-11-23T01:30:19.8282246Z 
2022-11-23T01:30:19.8282251Z 
2022-11-23T01:30:19.8282322Z if __name__ == "__main__":
2022-11-23T01:30:19.8282422Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8282539Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8282735Z     arg0_1 = rand_strided((128, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8282931Z     arg1_1 = rand_strided((1, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8283129Z     arg2_1 = rand_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8283247Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8283252Z 
2022-11-23T01:30:19.8283316Z ok (1.488s)
2022-11-23T01:30:19.8283614Z   test_gather1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:22,843] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8283922Z [2022-11-23 01:24:22,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8284136Z [2022-11-23 01:24:22,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8284384Z [2022-11-23 01:24:22,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8284657Z [2022-11-23 01:24:22,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8284975Z [2022-11-23 01:24:22,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8285311Z [2022-11-23 01:24:22,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8285669Z [2022-11-23 01:24:22,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8286042Z [2022-11-23 01:24:22,845] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16b730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649> 
2022-11-23T01:30:19.8286138Z  1651           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8286235Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:30:19.8286324Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8286416Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:30:19.8286503Z                8 BUILD_LIST               0
2022-11-23T01:30:19.8286586Z               10 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T01:30:19.8286670Z               12 LIST_EXTEND              1
2022-11-23T01:30:19.8286783Z               14 CALL_METHOD              1
2022-11-23T01:30:19.8286870Z               16 LOAD_CONST               2 (3)
2022-11-23T01:30:19.8286960Z               18 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8287045Z               20 LOAD_CONST               3 (1)
2022-11-23T01:30:19.8287115Z               22 BINARY_ADD
2022-11-23T01:30:19.8287188Z               24 CALL_METHOD              3
2022-11-23T01:30:19.8287193Z 
2022-11-23T01:30:19.8287285Z 1652          26 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8287376Z               28 LOAD_METHOD              1 (gather)
2022-11-23T01:30:19.8287461Z               30 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8287552Z               32 LOAD_METHOD              2 (expand)
2022-11-23T01:30:19.8287635Z               34 BUILD_LIST               0
2022-11-23T01:30:19.8287727Z               36 LOAD_CONST               1 ((4, 5, 10, 6))
2022-11-23T01:30:19.8287799Z               38 LIST_EXTEND              1
2022-11-23T01:30:19.8287884Z               40 CALL_METHOD              1
2022-11-23T01:30:19.8288018Z               42 LOAD_CONST               4 (-1)
2022-11-23T01:30:19.8288109Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8288196Z               46 LOAD_CONST               3 (1)
2022-11-23T01:30:19.8288269Z               48 BINARY_ADD
2022-11-23T01:30:19.8288354Z               50 CALL_METHOD              3
2022-11-23T01:30:19.8288359Z 
2022-11-23T01:30:19.8288447Z 1650          52 BUILD_TUPLE              2
2022-11-23T01:30:19.8288510Z               54 RETURN_VALUE
2022-11-23T01:30:19.8288571Z  
2022-11-23T01:30:19.8288577Z 
2022-11-23T01:30:19.8288894Z [2022-11-23 01:24:22,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1651
2022-11-23T01:30:19.8289115Z [2022-11-23 01:24:22,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8289485Z [2022-11-23 01:24:22,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8289812Z [2022-11-23 01:24:22,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8290172Z [2022-11-23 01:24:22,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8290559Z [2022-11-23 01:24:22,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:30:19.8290989Z [2022-11-23 01:24:22,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:30:19.8291506Z [2022-11-23 01:24:22,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.8291930Z [2022-11-23 01:24:22,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:30:19.8292279Z [2022-11-23 01:24:22,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8292651Z [2022-11-23 01:24:22,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8293069Z [2022-11-23 01:24:22,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.8293560Z [2022-11-23 01:24:22,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8293981Z [2022-11-23 01:24:22,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.8294294Z [2022-11-23 01:24:22,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1652
2022-11-23T01:30:19.8294538Z [2022-11-23 01:24:22,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.8294941Z [2022-11-23 01:24:22,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8295291Z [2022-11-23 01:24:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8295682Z [2022-11-23 01:24:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8296101Z [2022-11-23 01:24:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:30:19.8296740Z [2022-11-23 01:24:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 5, 10, 6) [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:30:19.8297243Z [2022-11-23 01:24:22,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.8297696Z [2022-11-23 01:24:22,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:30:19.8298073Z [2022-11-23 01:24:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8298488Z [2022-11-23 01:24:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8298993Z [2022-11-23 01:24:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.8299479Z [2022-11-23 01:24:22,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8299921Z [2022-11-23 01:24:22,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.8300274Z [2022-11-23 01:24:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1650
2022-11-23T01:30:19.8300549Z [2022-11-23 01:24:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8300795Z [2022-11-23 01:24:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8301176Z [2022-11-23 01:24:22,857] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16b730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1649>
2022-11-23T01:30:19.8301421Z [2022-11-23 01:24:22,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8301657Z [2022-11-23 01:24:22,857] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8301915Z [2022-11-23 01:24:22,859] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8302163Z [2022-11-23 01:24:22,867] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8302346Z [2022-11-23 01:24:22,867] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8302468Z  __compiled_fn_181 <eval_with_key>.1550 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8302554Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8302640Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8302747Z call_method, expand, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:30:19.8302919Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:19.8303167Z call_function, gather, <built-in method gather of type object at 0x7ff5d7c59c60>, (expand, 3, add), {}
2022-11-23T01:30:19.8303278Z call_method, expand_1, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:30:19.8303452Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:19.8303695Z call_function, gather_1, <built-in method gather of type object at 0x7ff5d7c59c60>, (expand_1, -1, add_1), {}
2022-11-23T01:30:19.8303807Z output, output, output, ((gather, gather_1),), {}
2022-11-23T01:30:19.8303814Z 
2022-11-23T01:30:19.8304136Z [2022-11-23 01:24:22,867] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8304231Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8304322Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8304406Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8304499Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8304581Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8304655Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8304730Z              12 RETURN_VALUE
2022-11-23T01:30:19.8304735Z 
2022-11-23T01:30:19.8304795Z  
2022-11-23T01:30:19.8305116Z [2022-11-23 01:24:22,868] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8305267Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_181)
2022-11-23T01:30:19.8305355Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8305444Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8305517Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8305591Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8305678Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8305753Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8305837Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.8305938Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8306037Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8306123Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8306214Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8306312Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8306399Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8306471Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8306558Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.8306633Z              32 RETURN_VALUE
2022-11-23T01:30:19.8306638Z 
2022-11-23T01:30:19.8306697Z  
2022-11-23T01:30:19.8306867Z [2022-11-23 01:24:22,868] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8306934Z  - 
2022-11-23T01:30:19.8307053Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8307119Z             {
2022-11-23T01:30:19.8307259Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8307442Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.8307559Z                 'obj_weakref': None
2022-11-23T01:30:19.8307771Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8307835Z             }
2022-11-23T01:30:19.8307895Z             
2022-11-23T01:30:19.8307963Z  - 
2022-11-23T01:30:19.8308085Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8308146Z             {
2022-11-23T01:30:19.8308285Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8308377Z                 'code': None,
2022-11-23T01:30:19.8308589Z                 'obj_weakref': <weakref at 0x7ff58fdc9a30; to 'Tensor' at 0x7ff58fe07c90>
2022-11-23T01:30:19.8308842Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8308906Z             }
2022-11-23T01:30:19.8308966Z             
2022-11-23T01:30:19.8309033Z  - 
2022-11-23T01:30:19.8309153Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8309204Z             {
2022-11-23T01:30:19.8309344Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8309448Z                 'code': None,
2022-11-23T01:30:19.8309657Z                 'obj_weakref': <weakref at 0x7ff58fd27150; to 'Tensor' at 0x7ff58f91fc90>
2022-11-23T01:30:19.8309909Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8309971Z             }
2022-11-23T01:30:19.8310029Z             
2022-11-23T01:30:19.8310085Z  - 
2022-11-23T01:30:19.8310216Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8310275Z             {
2022-11-23T01:30:19.8310407Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8310571Z                 'code': ['___check_obj_id(model, 140693067560368)'],
2022-11-23T01:30:19.8310686Z                 'obj_weakref': None
2022-11-23T01:30:19.8310911Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8310961Z             }
2022-11-23T01:30:19.8311022Z             
2022-11-23T01:30:19.8311090Z  - 
2022-11-23T01:30:19.8311208Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8311269Z             {
2022-11-23T01:30:19.8311401Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8311643Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8311750Z                 'obj_weakref': None
2022-11-23T01:30:19.8311966Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8312026Z             }
2022-11-23T01:30:19.8312087Z             
2022-11-23T01:30:19.8312151Z  - 
2022-11-23T01:30:19.8312278Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8312340Z             {
2022-11-23T01:30:19.8312444Z                 'guard_types': None,
2022-11-23T01:30:19.8312546Z                 'code': None,
2022-11-23T01:30:19.8312660Z                 'obj_weakref': None
2022-11-23T01:30:19.8312777Z                 'guarded_class': None
2022-11-23T01:30:19.8312865Z             }
2022-11-23T01:30:19.8312925Z             
2022-11-23T01:30:19.8313180Z [2022-11-23 01:24:22,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 180
2022-11-23T01:30:19.8313535Z [2022-11-23 01:24:24,347] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bz/cbz2taoax5gtgg4ywnk7eyhg3i3vyeo4v6x5nwtu7byp6ih7sugm.py
2022-11-23T01:30:19.8313863Z [2022-11-23 01:24:24,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 180
2022-11-23T01:30:19.8313870Z 
2022-11-23T01:30:19.8313964Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8314032Z import torch
2022-11-23T01:30:19.8314101Z import random
2022-11-23T01:30:19.8314215Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8314334Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8314340Z 
2022-11-23T01:30:19.8314416Z aten = torch.ops.aten
2022-11-23T01:30:19.8314537Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8314631Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8314636Z 
2022-11-23T01:30:19.8314640Z 
2022-11-23T01:30:19.8314772Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8314979Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8315093Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.8315200Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8315296Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8315394Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8315441Z {
2022-11-23T01:30:19.8315539Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8315600Z     {
2022-11-23T01:30:19.8315676Z         #pragma omp for 
2022-11-23T01:30:19.8315759Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:30:19.8315819Z         {
2022-11-23T01:30:19.8315898Z             #pragma GCC ivdep
2022-11-23T01:30:19.8315973Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:19.8316037Z             {
2022-11-23T01:30:19.8316098Z                 {
2022-11-23T01:30:19.8316162Z                     {
2022-11-23T01:30:19.8316261Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:19.8316363Z                         auto tmp1 = static_cast<long>(1);
2022-11-23T01:30:19.8316445Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8316546Z                         auto tmp3 = in_ptr1[tmp2 + (6*i1)];
2022-11-23T01:30:19.8316640Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:19.8316735Z                         out_ptr1[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:19.8316800Z                     }
2022-11-23T01:30:19.8316861Z                 }
2022-11-23T01:30:19.8316923Z             }
2022-11-23T01:30:19.8316973Z         }
2022-11-23T01:30:19.8317032Z     }
2022-11-23T01:30:19.8317090Z }
2022-11-23T01:30:19.8317166Z ''')
2022-11-23T01:30:19.8317173Z 
2022-11-23T01:30:19.8317178Z 
2022-11-23T01:30:19.8317266Z async_compile.wait(globals())
2022-11-23T01:30:19.8317338Z del async_compile
2022-11-23T01:30:19.8317342Z 
2022-11-23T01:30:19.8317473Z def call(args):
2022-11-23T01:30:19.8317549Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8317607Z     args.clear()
2022-11-23T01:30:19.8317819Z     buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8318030Z     buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8318218Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8318287Z     del arg0_1
2022-11-23T01:30:19.8318352Z     del arg1_1
2022-11-23T01:30:19.8318429Z     return (buf0, buf1, )
2022-11-23T01:30:19.8318434Z 
2022-11-23T01:30:19.8318438Z 
2022-11-23T01:30:19.8318513Z if __name__ == "__main__":
2022-11-23T01:30:19.8318614Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8318763Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8318975Z     arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8319181Z     arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8319292Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8319297Z 
2022-11-23T01:30:19.8319366Z ok (1.511s)
2022-11-23T01:30:19.8319476Z   test_gather2_cpu (__main__.CpuTests) ... ok (0.001s)
2022-11-23T01:30:19.8319794Z   test_gather_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:24:24,354] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8320098Z [2022-11-23 01:24:24,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8320308Z [2022-11-23 01:24:24,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8320562Z [2022-11-23 01:24:24,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8320837Z [2022-11-23 01:24:24,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8321153Z [2022-11-23 01:24:24,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8321496Z [2022-11-23 01:24:24,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8321813Z [2022-11-23 01:24:24,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8322181Z [2022-11-23 01:24:24,355] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f4240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2376> 
2022-11-23T01:30:19.8322278Z  2377           0 LOAD_FAST                0 (node_feat)
2022-11-23T01:30:19.8322378Z                2 LOAD_FAST                1 (edge_index)
2022-11-23T01:30:19.8322456Z                4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8322531Z                6 BINARY_SUBSCR
2022-11-23T01:30:19.8322605Z                8 BINARY_SUBSCR
2022-11-23T01:30:19.8322705Z               10 STORE_FAST               2 (src_node_feat)
2022-11-23T01:30:19.8322710Z 
2022-11-23T01:30:19.8322803Z 2378          12 LOAD_FAST                0 (node_feat)
2022-11-23T01:30:19.8322897Z               14 LOAD_FAST                1 (edge_index)
2022-11-23T01:30:19.8322985Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8323048Z               18 BINARY_SUBSCR
2022-11-23T01:30:19.8323120Z               20 BINARY_SUBSCR
2022-11-23T01:30:19.8323219Z               22 STORE_FAST               3 (dst_node_feat)
2022-11-23T01:30:19.8323226Z 
2022-11-23T01:30:19.8323324Z 2379          24 LOAD_FAST                2 (src_node_feat)
2022-11-23T01:30:19.8323448Z               26 LOAD_FAST                3 (dst_node_feat)
2022-11-23T01:30:19.8323527Z               28 BINARY_SUBTRACT
2022-11-23T01:30:19.8323613Z               30 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8323685Z               32 BINARY_ADD
2022-11-23T01:30:19.8323769Z               34 STORE_FAST               4 (edge_feat)
2022-11-23T01:30:19.8323774Z 
2022-11-23T01:30:19.8323862Z 2380          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8323959Z               38 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:30:19.8324050Z               40 LOAD_FAST                0 (node_feat)
2022-11-23T01:30:19.8324134Z               42 CALL_METHOD              1
2022-11-23T01:30:19.8324232Z               44 STORE_FAST               5 (new_node_feat)
2022-11-23T01:30:19.8324237Z 
2022-11-23T01:30:19.8324359Z 2381          46 LOAD_FAST                5 (new_node_feat)
2022-11-23T01:30:19.8324448Z               48 LOAD_METHOD              2 (scatter_add_)
2022-11-23T01:30:19.8324462Z 
2022-11-23T01:30:19.8324540Z 2382          50 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8324636Z               52 LOAD_FAST                1 (edge_index)
2022-11-23T01:30:19.8324720Z               54 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8324792Z               56 BINARY_SUBSCR
2022-11-23T01:30:19.8324889Z               58 LOAD_METHOD              3 (unsqueeze)
2022-11-23T01:30:19.8325025Z               60 LOAD_CONST               3 (-1)
2022-11-23T01:30:19.8325110Z               62 CALL_METHOD              1
2022-11-23T01:30:19.8325195Z               64 LOAD_METHOD              4 (expand_as)
2022-11-23T01:30:19.8325288Z               66 LOAD_FAST                4 (edge_feat)
2022-11-23T01:30:19.8325371Z               68 CALL_METHOD              1
2022-11-23T01:30:19.8325461Z               70 LOAD_FAST                4 (edge_feat)
2022-11-23T01:30:19.8325468Z 
2022-11-23T01:30:19.8325552Z 2381          72 CALL_METHOD              3
2022-11-23T01:30:19.8325622Z               74 POP_TOP
2022-11-23T01:30:19.8325626Z 
2022-11-23T01:30:19.8325725Z 2384          76 LOAD_FAST                5 (new_node_feat)
2022-11-23T01:30:19.8325799Z               78 RETURN_VALUE
2022-11-23T01:30:19.8325847Z  
2022-11-23T01:30:19.8325852Z 
2022-11-23T01:30:19.8326168Z [2022-11-23 01:24:24,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2377
2022-11-23T01:30:19.8326387Z [2022-11-23 01:24:24,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T01:30:19.8326700Z [2022-11-23 01:24:24,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T01:30:19.8327017Z [2022-11-23 01:24:24,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8327334Z [2022-11-23 01:24:24,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8327612Z [2022-11-23 01:24:24,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8327865Z [2022-11-23 01:24:24,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST src_node_feat [TensorVariable()]
2022-11-23T01:30:19.8328174Z [2022-11-23 01:24:24,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2378
2022-11-23T01:30:19.8328378Z [2022-11-23 01:24:24,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T01:30:19.8328623Z [2022-11-23 01:24:24,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T01:30:19.8328883Z [2022-11-23 01:24:24,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8329229Z [2022-11-23 01:24:24,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8329503Z [2022-11-23 01:24:24,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8329753Z [2022-11-23 01:24:24,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dst_node_feat [TensorVariable()]
2022-11-23T01:30:19.8330058Z [2022-11-23 01:24:24,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2379
2022-11-23T01:30:19.8330284Z [2022-11-23 01:24:24,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src_node_feat []
2022-11-23T01:30:19.8330533Z [2022-11-23 01:24:24,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst_node_feat [TensorVariable()]
2022-11-23T01:30:19.8330807Z [2022-11-23 01:24:24,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8331064Z [2022-11-23 01:24:24,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.8331335Z [2022-11-23 01:24:24,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8331579Z [2022-11-23 01:24:24,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST edge_feat [TensorVariable()]
2022-11-23T01:30:19.8331887Z [2022-11-23 01:24:24,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2380
2022-11-23T01:30:19.8332102Z [2022-11-23 01:24:24,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8332473Z [2022-11-23 01:24:24,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8332816Z [2022-11-23 01:24:24,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8333173Z [2022-11-23 01:24:24,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8333428Z [2022-11-23 01:24:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST new_node_feat [TensorVariable()]
2022-11-23T01:30:19.8333738Z [2022-11-23 01:24:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381
2022-11-23T01:30:19.8333958Z [2022-11-23 01:24:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T01:30:19.8334193Z [2022-11-23 01:24:24,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add_ [TensorVariable()]
2022-11-23T01:30:19.8334504Z [2022-11-23 01:24:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2382
2022-11-23T01:30:19.8334789Z [2022-11-23 01:24:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), scatter_add_)]
2022-11-23T01:30:19.8335120Z [2022-11-23 01:24:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int)]
2022-11-23T01:30:19.8335465Z [2022-11-23 01:24:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.8335860Z [2022-11-23 01:24:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8336218Z [2022-11-23 01:24:24,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.8336796Z [2022-11-23 01:24:24,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze)]
2022-11-23T01:30:19.8337247Z [2022-11-23 01:24:24,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze), ConstantVariable(int)]
2022-11-23T01:30:19.8337738Z [2022-11-23 01:24:24,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.8338213Z [2022-11-23 01:24:24,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as)]
2022-11-23T01:30:19.8338697Z [2022-11-23 01:24:24,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as), TensorVariable()]
2022-11-23T01:30:19.8339053Z [2022-11-23 01:24:24,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.8339351Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2381
2022-11-23T01:30:19.8339735Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8339979Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8340293Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2384
2022-11-23T01:30:19.8340519Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T01:30:19.8340769Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8341145Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f4240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2376>
2022-11-23T01:30:19.8341389Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8341621Z [2022-11-23 01:24:24,366] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8341878Z [2022-11-23 01:24:24,368] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8342129Z [2022-11-23 01:24:24,390] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8342307Z [2022-11-23 01:24:24,390] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8342442Z  __compiled_fn_182 <eval_with_key>.1556 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8342532Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8342618Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8342805Z call_function, getitem, <built-in function getitem>, (ex_1_, 0), {}
2022-11-23T01:30:19.8343002Z call_function, getitem_1, <built-in function getitem>, (ex_0_, getitem), {}
2022-11-23T01:30:19.8343189Z call_function, getitem_2, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T01:30:19.8343378Z call_function, getitem_3, <built-in function getitem>, (ex_0_, getitem_2), {}
2022-11-23T01:30:19.8343571Z call_function, sub, <built-in function sub>, (getitem_1, getitem_3), {}
2022-11-23T01:30:19.8343740Z call_function, add, <built-in function add>, (sub, 1), {}
2022-11-23T01:30:19.8344016Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:19.8344204Z call_function, getitem_4, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T01:30:19.8344370Z call_method, unsqueeze, unsqueeze, (getitem_4, -1), {}
2022-11-23T01:30:19.8344486Z call_method, expand_as, expand_as, (unsqueeze, add), {}
2022-11-23T01:30:19.8344628Z call_method, scatter_add_, scatter_add_, (zeros_like, 0, expand_as, add), {}
2022-11-23T01:30:19.8344721Z output, output, output, ((zeros_like,),), {}
2022-11-23T01:30:19.8344728Z 
2022-11-23T01:30:19.8345054Z [2022-11-23 01:24:24,390] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8345178Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8345269Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8345356Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8345451Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8345536Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8345625Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8345686Z              12 RETURN_VALUE
2022-11-23T01:30:19.8345692Z 
2022-11-23T01:30:19.8345753Z  
2022-11-23T01:30:19.8346080Z [2022-11-23 01:24:24,390] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8346187Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_182)
2022-11-23T01:30:19.8346277Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8346366Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8346442Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8346534Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8346610Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8346686Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8346774Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.8346862Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8346937Z              18 RETURN_VALUE
2022-11-23T01:30:19.8346942Z 
2022-11-23T01:30:19.8347001Z  
2022-11-23T01:30:19.8347184Z [2022-11-23 01:24:24,391] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8347241Z  - 
2022-11-23T01:30:19.8347358Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8347421Z             {
2022-11-23T01:30:19.8347560Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8347746Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.8347866Z                 'obj_weakref': None
2022-11-23T01:30:19.8348092Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8348146Z             }
2022-11-23T01:30:19.8348210Z             
2022-11-23T01:30:19.8348277Z  - 
2022-11-23T01:30:19.8348400Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8348464Z             {
2022-11-23T01:30:19.8348612Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8348776Z                 'code': None,
2022-11-23T01:30:19.8349025Z                 'obj_weakref': <weakref at 0x7ff58fcb9030; to 'Tensor' at 0x7ff5a80d1990>
2022-11-23T01:30:19.8349276Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8349339Z             }
2022-11-23T01:30:19.8349403Z             
2022-11-23T01:30:19.8349470Z  - 
2022-11-23T01:30:19.8349591Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8349651Z             {
2022-11-23T01:30:19.8349779Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8349885Z                 'code': None,
2022-11-23T01:30:19.8350097Z                 'obj_weakref': <weakref at 0x7ff58fdf0b80; to 'Tensor' at 0x7ff5a8058ef0>
2022-11-23T01:30:19.8350401Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8350464Z             }
2022-11-23T01:30:19.8350524Z             
2022-11-23T01:30:19.8350592Z  - 
2022-11-23T01:30:19.8350709Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8350769Z             {
2022-11-23T01:30:19.8350901Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8351068Z                 'code': ['___check_obj_id(model, 140693062690144)'],
2022-11-23T01:30:19.8351184Z                 'obj_weakref': None
2022-11-23T01:30:19.8351412Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8351475Z             }
2022-11-23T01:30:19.8351525Z             
2022-11-23T01:30:19.8351621Z  - 
2022-11-23T01:30:19.8351742Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8351803Z             {
2022-11-23T01:30:19.8351938Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8352153Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8352270Z                 'obj_weakref': None
2022-11-23T01:30:19.8352476Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8352538Z             }
2022-11-23T01:30:19.8352598Z             
2022-11-23T01:30:19.8352663Z  - 
2022-11-23T01:30:19.8352797Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8352861Z             {
2022-11-23T01:30:19.8352977Z                 'guard_types': None,
2022-11-23T01:30:19.8353070Z                 'code': None,
2022-11-23T01:30:19.8353184Z                 'obj_weakref': None
2022-11-23T01:30:19.8353302Z                 'guarded_class': None
2022-11-23T01:30:19.8353366Z             }
2022-11-23T01:30:19.8353426Z             
2022-11-23T01:30:19.8353683Z [2022-11-23 01:24:24,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 181
2022-11-23T01:30:19.8354106Z [2022-11-23 01:24:25,866] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nn/cnngz4t4aqp63vnbaelqswwn7ot4xfnvhe7hizq7bchjml7xqwpl.py
2022-11-23T01:30:19.8354358Z [2022-11-23 01:24:25,866] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 181
2022-11-23T01:30:19.8354375Z 
2022-11-23T01:30:19.8354455Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8354523Z import torch
2022-11-23T01:30:19.8354591Z import random
2022-11-23T01:30:19.8354706Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8354824Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8354830Z 
2022-11-23T01:30:19.8354906Z aten = torch.ops.aten
2022-11-23T01:30:19.8355038Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8355121Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8355126Z 
2022-11-23T01:30:19.8355130Z 
2022-11-23T01:30:19.8355271Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8355473Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8355591Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.8355694Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8355794Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8355851Z {
2022-11-23T01:30:19.8355949Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8355998Z     {
2022-11-23T01:30:19.8356073Z         #pragma omp for 
2022-11-23T01:30:19.8356154Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.8356215Z         {
2022-11-23T01:30:19.8356352Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:30:19.8356444Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8356494Z         }
2022-11-23T01:30:19.8356585Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8356695Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:30:19.8356758Z         {
2022-11-23T01:30:19.8356857Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:30:19.8356935Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.8356994Z         }
2022-11-23T01:30:19.8357057Z         #pragma omp for 
2022-11-23T01:30:19.8357134Z         for(long i0=0; i0<80; i0+=1)
2022-11-23T01:30:19.8357193Z         {
2022-11-23T01:30:19.8357271Z             #pragma GCC ivdep
2022-11-23T01:30:19.8357356Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:30:19.8357416Z             {
2022-11-23T01:30:19.8357479Z                 {
2022-11-23T01:30:19.8357533Z                     {
2022-11-23T01:30:19.8357627Z                         auto tmp0 = in_ptr0[80 + i0];
2022-11-23T01:30:19.8357719Z                         auto tmp1 = in_ptr0[i0];
2022-11-23T01:30:19.8357852Z                         auto tmp2 = in_ptr1[i1 + (32*tmp1)];
2022-11-23T01:30:19.8357951Z                         auto tmp3 = in_ptr1[i1 + (32*tmp0)];
2022-11-23T01:30:19.8358090Z                         auto tmp4 = tmp2 - tmp3;
2022-11-23T01:30:19.8358194Z                         auto tmp5 = static_cast<float>(1);
2022-11-23T01:30:19.8358272Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:19.8358381Z                         atomic_add(&out_ptr0[i1 + (32*tmp0)], tmp6);
2022-11-23T01:30:19.8358445Z                     }
2022-11-23T01:30:19.8358509Z                 }
2022-11-23T01:30:19.8358569Z             }
2022-11-23T01:30:19.8358628Z         }
2022-11-23T01:30:19.8358688Z     }
2022-11-23T01:30:19.8358735Z }
2022-11-23T01:30:19.8358809Z ''')
2022-11-23T01:30:19.8358814Z 
2022-11-23T01:30:19.8358819Z 
2022-11-23T01:30:19.8358906Z async_compile.wait(globals())
2022-11-23T01:30:19.8358978Z del async_compile
2022-11-23T01:30:19.8358982Z 
2022-11-23T01:30:19.8359054Z def call(args):
2022-11-23T01:30:19.8359127Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8359195Z     args.clear()
2022-11-23T01:30:19.8359385Z     buf0 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8359544Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8359608Z     del arg0_1
2022-11-23T01:30:19.8359675Z     del arg1_1
2022-11-23T01:30:19.8359744Z     return (buf0, )
2022-11-23T01:30:19.8359749Z 
2022-11-23T01:30:19.8359753Z 
2022-11-23T01:30:19.8359825Z if __name__ == "__main__":
2022-11-23T01:30:19.8359937Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8360056Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8360242Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8360434Z     arg1_1 = rand_strided((2, 80), (80, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8360544Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8360549Z 
2022-11-23T01:30:19.8360615Z ok (1.517s)
2022-11-23T01:30:19.8360917Z   test_gelu_cpu (__main__.CpuTests) ... [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8361236Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8361448Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8361700Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8361973Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8362277Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8362649Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8362968Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8363347Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f49d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438> 
2022-11-23T01:30:19.8363440Z  2439           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8363531Z                2 LOAD_METHOD              1 (gelu)
2022-11-23T01:30:19.8363619Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8363704Z                6 CALL_METHOD              1
2022-11-23T01:30:19.8363793Z                8 LOAD_CONST               1 (2)
2022-11-23T01:30:19.8363881Z               10 BINARY_ADD
2022-11-23T01:30:19.8363972Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8364063Z               14 LOAD_METHOD              1 (gelu)
2022-11-23T01:30:19.8364152Z               16 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8364236Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8364305Z               20 BINARY_ADD
2022-11-23T01:30:19.8364387Z               22 CALL_METHOD              1
2022-11-23T01:30:19.8364461Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.8364535Z               26 RETURN_VALUE
2022-11-23T01:30:19.8364594Z  
2022-11-23T01:30:19.8364599Z 
2022-11-23T01:30:19.8364912Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2439
2022-11-23T01:30:19.8365126Z [2022-11-23 01:24:25,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.8365430Z [2022-11-23 01:24:25,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8365681Z [2022-11-23 01:24:25,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gelu)]
2022-11-23T01:30:19.8365964Z [2022-11-23 01:24:25,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:30:19.8366199Z [2022-11-23 01:24:25,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.8366464Z [2022-11-23 01:24:25,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8366706Z [2022-11-23 01:24:25,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.8367035Z [2022-11-23 01:24:25,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8367313Z [2022-11-23 01:24:25,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.gelu)]
2022-11-23T01:30:19.8367613Z [2022-11-23 01:24:25,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:30:19.8367954Z [2022-11-23 01:24:25,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.gelu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8368262Z [2022-11-23 01:24:25,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:30:19.8368527Z [2022-11-23 01:24:25,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8368768Z [2022-11-23 01:24:25,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8369173Z [2022-11-23 01:24:25,888] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f49d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2438>
2022-11-23T01:30:19.8369404Z [2022-11-23 01:24:25,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8369636Z [2022-11-23 01:24:25,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8369885Z [2022-11-23 01:24:25,890] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8370129Z [2022-11-23 01:24:25,894] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8370315Z [2022-11-23 01:24:25,894] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8370445Z  __compiled_fn_183 <eval_with_key>.1562 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8370563Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8370666Z call_function, gelu, aten.gelu, (ex_0_,), {}
2022-11-23T01:30:19.8370831Z call_function, add, <built-in function add>, (gelu, 2), {}
2022-11-23T01:30:19.8370999Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.8371101Z call_function, gelu_1, aten.gelu, (add_1,), {}
2022-11-23T01:30:19.8371203Z output, output, output, ((add, gelu_1),), {}
2022-11-23T01:30:19.8371208Z 
2022-11-23T01:30:19.8371529Z [2022-11-23 01:24:25,895] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8371619Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8371707Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8371790Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8371870Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8371954Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8372041Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8372113Z              12 RETURN_VALUE
2022-11-23T01:30:19.8372118Z 
2022-11-23T01:30:19.8372177Z  
2022-11-23T01:30:19.8372496Z [2022-11-23 01:24:25,895] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8372602Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_183)
2022-11-23T01:30:19.8372688Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8372764Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8372839Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8372922Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8373023Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8373122Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8373208Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8373284Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8373371Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8373458Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8373531Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8373618Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.8373690Z              26 RETURN_VALUE
2022-11-23T01:30:19.8373695Z 
2022-11-23T01:30:19.8373754Z  
2022-11-23T01:30:19.8373934Z [2022-11-23 01:24:25,896] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8373991Z  - 
2022-11-23T01:30:19.8374106Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8374168Z             {
2022-11-23T01:30:19.8374305Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8374490Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8374608Z                 'obj_weakref': None
2022-11-23T01:30:19.8374832Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8374894Z             }
2022-11-23T01:30:19.8374944Z             
2022-11-23T01:30:19.8375038Z  - 
2022-11-23T01:30:19.8375161Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8375223Z             {
2022-11-23T01:30:19.8375364Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8375469Z                 'code': None,
2022-11-23T01:30:19.8375668Z                 'obj_weakref': <weakref at 0x7ff58fc463e0; to 'Tensor' at 0x7ff5a80d1990>
2022-11-23T01:30:19.8375916Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8375978Z             }
2022-11-23T01:30:19.8376038Z             
2022-11-23T01:30:19.8376104Z  - 
2022-11-23T01:30:19.8376232Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8376293Z             {
2022-11-23T01:30:19.8376555Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8376810Z                 'code': ['___check_obj_id(model, 140693065988656)'],
2022-11-23T01:30:19.8376928Z                 'obj_weakref': None
2022-11-23T01:30:19.8377159Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8377222Z             }
2022-11-23T01:30:19.8377283Z             
2022-11-23T01:30:19.8377349Z  - 
2022-11-23T01:30:19.8377458Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8377518Z             {
2022-11-23T01:30:19.8377650Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8377863Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8377981Z                 'obj_weakref': None
2022-11-23T01:30:19.8378197Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8378259Z             }
2022-11-23T01:30:19.8378320Z             
2022-11-23T01:30:19.8378378Z  - 
2022-11-23T01:30:19.8378506Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8378569Z             {
2022-11-23T01:30:19.8378686Z                 'guard_types': None,
2022-11-23T01:30:19.8378792Z                 'code': None,
2022-11-23T01:30:19.8378908Z                 'obj_weakref': None
2022-11-23T01:30:19.8379015Z                 'guarded_class': None
2022-11-23T01:30:19.8379074Z             }
2022-11-23T01:30:19.8379133Z             
2022-11-23T01:30:19.8379390Z [2022-11-23 01:24:25,908] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 182
2022-11-23T01:30:19.8379755Z [2022-11-23 01:24:27,325] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwt36lrg2pnorhtotfdavw2mqc7uyzf75bmg7qzg23jwbm6lgzgu.py
2022-11-23T01:30:19.8380016Z [2022-11-23 01:24:27,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 182
2022-11-23T01:30:19.8380021Z 
2022-11-23T01:30:19.8380114Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8380186Z import torch
2022-11-23T01:30:19.8380244Z import random
2022-11-23T01:30:19.8380359Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8380480Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8380485Z 
2022-11-23T01:30:19.8380562Z aten = torch.ops.aten
2022-11-23T01:30:19.8380697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8380789Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8380794Z 
2022-11-23T01:30:19.8380799Z 
2022-11-23T01:30:19.8380933Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8381137Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8381245Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8381343Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8381438Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8381502Z {
2022-11-23T01:30:19.8381602Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8381664Z     {
2022-11-23T01:30:19.8381743Z         #pragma omp for 
2022-11-23T01:30:19.8381858Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:19.8381923Z         {
2022-11-23T01:30:19.8381988Z             {
2022-11-23T01:30:19.8382054Z                 {
2022-11-23T01:30:19.8382146Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8382250Z                     auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:30:19.8382342Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:19.8382443Z                     auto tmp3 = static_cast<float>(0.7071067811865476);
2022-11-23T01:30:19.8382532Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:30:19.8382635Z                     auto tmp5 = std::erf(tmp4);
2022-11-23T01:30:19.8382738Z                     auto tmp6 = static_cast<float>(1);
2022-11-23T01:30:19.8382827Z                     auto tmp7 = tmp5 + tmp6;
2022-11-23T01:30:19.8382945Z                     auto tmp8 = tmp2 * tmp7;
2022-11-23T01:30:19.8383048Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:30:19.8383129Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:19.8383226Z                     auto tmp11 = tmp0 + tmp6;
2022-11-23T01:30:19.8383319Z                     auto tmp12 = tmp11 * tmp1;
2022-11-23T01:30:19.8383411Z                     auto tmp13 = tmp11 * tmp3;
2022-11-23T01:30:19.8383509Z                     auto tmp14 = std::erf(tmp13);
2022-11-23T01:30:19.8383599Z                     auto tmp15 = tmp14 + tmp6;
2022-11-23T01:30:19.8383693Z                     auto tmp16 = tmp12 * tmp15;
2022-11-23T01:30:19.8383765Z                     out_ptr0[i0] = tmp10;
2022-11-23T01:30:19.8383848Z                     out_ptr1[i0] = tmp16;
2022-11-23T01:30:19.8383914Z                 }
2022-11-23T01:30:19.8383978Z             }
2022-11-23T01:30:19.8384040Z         }
2022-11-23T01:30:19.8384103Z     }
2022-11-23T01:30:19.8384163Z }
2022-11-23T01:30:19.8384232Z ''')
2022-11-23T01:30:19.8384237Z 
2022-11-23T01:30:19.8384255Z 
2022-11-23T01:30:19.8384331Z async_compile.wait(globals())
2022-11-23T01:30:19.8384400Z del async_compile
2022-11-23T01:30:19.8384407Z 
2022-11-23T01:30:19.8384474Z def call(args):
2022-11-23T01:30:19.8384543Z     arg0_1, = args
2022-11-23T01:30:19.8384614Z     args.clear()
2022-11-23T01:30:19.8384817Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8385014Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8385166Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8385234Z     del arg0_1
2022-11-23T01:30:19.8385307Z     return (buf0, buf1, )
2022-11-23T01:30:19.8385312Z 
2022-11-23T01:30:19.8385316Z 
2022-11-23T01:30:19.8385388Z if __name__ == "__main__":
2022-11-23T01:30:19.8385505Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8385628Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8385826Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8385933Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8385938Z 
2022-11-23T01:30:19.8385993Z ok (1.459s)
2022-11-23T01:30:19.8386288Z   test_glu_cpu (__main__.CpuTests) ... [2022-11-23 01:24:27,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8386602Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8386816Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8387066Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8387337Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8387687Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8388032Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8388352Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8388728Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f56e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544> 
2022-11-23T01:30:19.8388810Z  2545           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8388901Z                2 LOAD_METHOD              1 (glu)
2022-11-23T01:30:19.8389019Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8389156Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:30:19.8389242Z                8 CALL_METHOD              2
2022-11-23T01:30:19.8389334Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8389423Z               12 LOAD_METHOD              1 (glu)
2022-11-23T01:30:19.8389501Z               14 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8389587Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8389671Z               18 CALL_METHOD              2
2022-11-23T01:30:19.8389759Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8389850Z               22 LOAD_METHOD              1 (glu)
2022-11-23T01:30:19.8389933Z               24 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8390019Z               26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8390093Z               28 CALL_METHOD              2
2022-11-23T01:30:19.8390177Z               30 BUILD_TUPLE              3
2022-11-23T01:30:19.8390251Z               32 RETURN_VALUE
2022-11-23T01:30:19.8390313Z  
2022-11-23T01:30:19.8390318Z 
2022-11-23T01:30:19.8390634Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2545
2022-11-23T01:30:19.8390849Z [2022-11-23 01:24:27,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.8391150Z [2022-11-23 01:24:27,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8391395Z [2022-11-23 01:24:27,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.glu)]
2022-11-23T01:30:19.8391667Z [2022-11-23 01:24:27,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:30:19.8391972Z [2022-11-23 01:24:27,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8392217Z [2022-11-23 01:24:27,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.8392544Z [2022-11-23 01:24:27,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8392819Z [2022-11-23 01:24:27,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:30:19.8393125Z [2022-11-23 01:24:27,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:30:19.8393465Z [2022-11-23 01:24:27,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8393734Z [2022-11-23 01:24:27,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8394212Z [2022-11-23 01:24:27,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8394508Z [2022-11-23 01:24:27,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:30:19.8394838Z [2022-11-23 01:24:27,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:30:19.8395209Z [2022-11-23 01:24:27,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8395502Z [2022-11-23 01:24:27,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8395762Z [2022-11-23 01:24:27,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8396142Z [2022-11-23 01:24:27,354] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f56e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2544>
2022-11-23T01:30:19.8396383Z [2022-11-23 01:24:27,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8396615Z [2022-11-23 01:24:27,354] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8396863Z [2022-11-23 01:24:27,355] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8397110Z [2022-11-23 01:24:27,360] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8397294Z [2022-11-23 01:24:27,360] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8397428Z  __compiled_fn_184 <eval_with_key>.1568 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8397514Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8397651Z call_function, glu, aten.glu, (ex_0_, -1), {}
2022-11-23T01:30:19.8397753Z call_function, glu_1, aten.glu, (ex_0_, 1), {}
2022-11-23T01:30:19.8397851Z call_function, glu_2, aten.glu, (ex_0_, 2), {}
2022-11-23T01:30:19.8397956Z output, output, output, ((glu, glu_1, glu_2),), {}
2022-11-23T01:30:19.8397961Z 
2022-11-23T01:30:19.8398282Z [2022-11-23 01:24:27,360] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8398371Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8398459Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8398544Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8398623Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8398705Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8398794Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8398867Z              12 RETURN_VALUE
2022-11-23T01:30:19.8398874Z 
2022-11-23T01:30:19.8398935Z  
2022-11-23T01:30:19.8399252Z [2022-11-23 01:24:27,360] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8399371Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_184)
2022-11-23T01:30:19.8399488Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8399618Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8399696Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8399780Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8399883Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8399981Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8400067Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8400132Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8400231Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8400348Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8400424Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8400520Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8400605Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8400677Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8400764Z              30 BUILD_TUPLE              3
2022-11-23T01:30:19.8400828Z              32 RETURN_VALUE
2022-11-23T01:30:19.8400833Z 
2022-11-23T01:30:19.8400891Z  
2022-11-23T01:30:19.8401076Z [2022-11-23 01:24:27,361] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8401141Z  - 
2022-11-23T01:30:19.8401257Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8401320Z             {
2022-11-23T01:30:19.8401457Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8401660Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8401776Z                 'obj_weakref': None
2022-11-23T01:30:19.8402002Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8402063Z             }
2022-11-23T01:30:19.8402124Z             
2022-11-23T01:30:19.8402191Z  - 
2022-11-23T01:30:19.8402313Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8402364Z             {
2022-11-23T01:30:19.8402505Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8402610Z                 'code': None,
2022-11-23T01:30:19.8402821Z                 'obj_weakref': <weakref at 0x7ff58fcd4a90; to 'Tensor' at 0x7ff58fc14720>
2022-11-23T01:30:19.8403075Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8403137Z             }
2022-11-23T01:30:19.8403201Z             
2022-11-23T01:30:19.8403257Z  - 
2022-11-23T01:30:19.8403384Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8403444Z             {
2022-11-23T01:30:19.8403580Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8403746Z                 'code': ['___check_obj_id(model, 140693067559648)'],
2022-11-23T01:30:19.8403862Z                 'obj_weakref': None
2022-11-23T01:30:19.8404088Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8404140Z             }
2022-11-23T01:30:19.8404199Z             
2022-11-23T01:30:19.8404264Z  - 
2022-11-23T01:30:19.8404382Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8404444Z             {
2022-11-23T01:30:19.8404578Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8404791Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8404895Z                 'obj_weakref': None
2022-11-23T01:30:19.8405115Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8405176Z             }
2022-11-23T01:30:19.8405245Z             
2022-11-23T01:30:19.8405311Z  - 
2022-11-23T01:30:19.8405439Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8405502Z             {
2022-11-23T01:30:19.8405607Z                 'guard_types': None,
2022-11-23T01:30:19.8405715Z                 'code': None,
2022-11-23T01:30:19.8405828Z                 'obj_weakref': None
2022-11-23T01:30:19.8405948Z                 'guarded_class': None
2022-11-23T01:30:19.8406010Z             }
2022-11-23T01:30:19.8406070Z             
2022-11-23T01:30:19.8406314Z [2022-11-23 01:24:27,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 183
2022-11-23T01:30:19.8406678Z [2022-11-23 01:24:28,825] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4g/c4g6pkjis337exuqcpi4bxd2jtiptrnqihifrgwexamlnjt7gq7d.py
2022-11-23T01:30:19.8406940Z [2022-11-23 01:24:28,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 183
2022-11-23T01:30:19.8406946Z 
2022-11-23T01:30:19.8407066Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8407135Z import torch
2022-11-23T01:30:19.8407202Z import random
2022-11-23T01:30:19.8407315Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8407434Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8407440Z 
2022-11-23T01:30:19.8407519Z aten = torch.ops.aten
2022-11-23T01:30:19.8407638Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8407728Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8407733Z 
2022-11-23T01:30:19.8407737Z 
2022-11-23T01:30:19.8407871Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8408072Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8408190Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8408316Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8408411Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.8408505Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.8408554Z {
2022-11-23T01:30:19.8408650Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8408709Z     {
2022-11-23T01:30:19.8408784Z         #pragma omp for 
2022-11-23T01:30:19.8408866Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.8408928Z         {
2022-11-23T01:30:19.8408996Z             #pragma GCC ivdep
2022-11-23T01:30:19.8409077Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.8409138Z             {
2022-11-23T01:30:19.8409198Z                 {
2022-11-23T01:30:19.8409264Z                     {
2022-11-23T01:30:19.8409363Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:19.8409468Z                         auto tmp1 = in_ptr0[4 + i1 + (8*i0)];
2022-11-23T01:30:19.8409614Z                         auto tmp2 = std::exp(-tmp1);
2022-11-23T01:30:19.8409702Z                         auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:30:19.8409795Z                         auto tmp4 = tmp0 * tmp3;
2022-11-23T01:30:19.8409888Z                         out_ptr0[i1 + (4*i0)] = tmp4;
2022-11-23T01:30:19.8409953Z                     }
2022-11-23T01:30:19.8410018Z                 }
2022-11-23T01:30:19.8410106Z             }
2022-11-23T01:30:19.8410188Z         }
2022-11-23T01:30:19.8410295Z         #pragma omp for 
2022-11-23T01:30:19.8410415Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.8410499Z         {
2022-11-23T01:30:19.8410584Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:30:19.8410645Z             {
2022-11-23T01:30:19.8410789Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T01:30:19.8410921Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 512 + (8*i1) + (1024*i0));
2022-11-23T01:30:19.8411058Z                 auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2022-11-23T01:30:19.8411142Z                 auto tmp3 = tmp0 * tmp2;
2022-11-23T01:30:19.8411246Z                 tmp3.store(out_ptr1 + (8*i1) + (512*i0));
2022-11-23T01:30:19.8411305Z             }
2022-11-23T01:30:19.8411395Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.8411481Z             for(long i1=512; i1<512; i1+=1)
2022-11-23T01:30:19.8411542Z             {
2022-11-23T01:30:19.8411625Z                 auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:30:19.8411723Z                 auto tmp1 = in_ptr0[512 + i1 + (1024*i0)];
2022-11-23T01:30:19.8411865Z                 auto tmp2 = std::exp(-tmp1);
2022-11-23T01:30:19.8411950Z                 auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:30:19.8412032Z                 auto tmp4 = tmp0 * tmp3;
2022-11-23T01:30:19.8412121Z                 out_ptr1[i1 + (512*i0)] = tmp4;
2022-11-23T01:30:19.8412182Z             }
2022-11-23T01:30:19.8412236Z         }
2022-11-23T01:30:19.8412310Z         #pragma omp for 
2022-11-23T01:30:19.8412388Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.8412447Z         {
2022-11-23T01:30:19.8412567Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.8412628Z             {
2022-11-23T01:30:19.8412765Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (64*i0));
2022-11-23T01:30:19.8412894Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (8*i1) + (64*i0));
2022-11-23T01:30:19.8413026Z                 auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2022-11-23T01:30:19.8413110Z                 auto tmp3 = tmp0 * tmp2;
2022-11-23T01:30:19.8413210Z                 tmp3.store(out_ptr2 + (8*i1) + (32*i0));
2022-11-23T01:30:19.8413271Z             }
2022-11-23T01:30:19.8413360Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.8413444Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:30:19.8413557Z             {
2022-11-23T01:30:19.8413653Z                 auto tmp0 = in_ptr0[i1 + (64*i0)];
2022-11-23T01:30:19.8413750Z                 auto tmp1 = in_ptr0[32 + i1 + (64*i0)];
2022-11-23T01:30:19.8413891Z                 auto tmp2 = std::exp(-tmp1);
2022-11-23T01:30:19.8413975Z                 auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:30:19.8414059Z                 auto tmp4 = tmp0 * tmp3;
2022-11-23T01:30:19.8414147Z                 out_ptr2[i1 + (32*i0)] = tmp4;
2022-11-23T01:30:19.8414196Z             }
2022-11-23T01:30:19.8414257Z         }
2022-11-23T01:30:19.8414319Z     }
2022-11-23T01:30:19.8414377Z }
2022-11-23T01:30:19.8414454Z ''')
2022-11-23T01:30:19.8414460Z 
2022-11-23T01:30:19.8414464Z 
2022-11-23T01:30:19.8414551Z async_compile.wait(globals())
2022-11-23T01:30:19.8414621Z del async_compile
2022-11-23T01:30:19.8414626Z 
2022-11-23T01:30:19.8414683Z def call(args):
2022-11-23T01:30:19.8414750Z     arg0_1, = args
2022-11-23T01:30:19.8414819Z     args.clear()
2022-11-23T01:30:19.8415035Z     buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8415245Z     buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8415450Z     buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8415636Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.8415700Z     del arg0_1
2022-11-23T01:30:19.8415770Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.8415775Z 
2022-11-23T01:30:19.8415791Z 
2022-11-23T01:30:19.8415854Z if __name__ == "__main__":
2022-11-23T01:30:19.8415966Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8416087Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8416298Z     arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8416403Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8416593Z 
2022-11-23T01:30:19.8416662Z ok (1.501s)
2022-11-23T01:30:19.8416985Z   test_grid_sampler_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:24:28,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8417303Z [2022-11-23 01:24:28,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8417507Z [2022-11-23 01:24:28,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8417760Z [2022-11-23 01:24:28,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8418035Z [2022-11-23 01:24:28,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8418358Z [2022-11-23 01:24:28,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8418756Z [2022-11-23 01:24:28,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8419079Z [2022-11-23 01:24:28,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8419457Z [2022-11-23 01:24:28,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e09d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3053> 
2022-11-23T01:30:19.8419552Z  3055           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8419659Z                2 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T01:30:19.8419737Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8419827Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8419914Z                8 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8420036Z               10 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8420127Z               12 LOAD_CONST               2 (True)
2022-11-23T01:30:19.8420218Z               14 CALL_METHOD              5
2022-11-23T01:30:19.8420224Z 
2022-11-23T01:30:19.8420317Z 3056          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8420421Z               18 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T01:30:19.8420496Z               20 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8420584Z               22 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8420669Z               24 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8420752Z               26 LOAD_CONST               3 (1)
2022-11-23T01:30:19.8420841Z               28 LOAD_CONST               4 (False)
2022-11-23T01:30:19.8420928Z               30 CALL_METHOD              5
2022-11-23T01:30:19.8420933Z 
2022-11-23T01:30:19.8421020Z 3054          32 BUILD_TUPLE              2
2022-11-23T01:30:19.8421099Z               34 RETURN_VALUE
2022-11-23T01:30:19.8421148Z  
2022-11-23T01:30:19.8421153Z 
2022-11-23T01:30:19.8421470Z [2022-11-23 01:24:28,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3055
2022-11-23T01:30:19.8421686Z [2022-11-23 01:24:28,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.8422005Z [2022-11-23 01:24:28,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8422271Z [2022-11-23 01:24:28,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.grid_sampler_2d)]
2022-11-23T01:30:19.8422567Z [2022-11-23 01:24:28,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T01:30:19.8422890Z [2022-11-23 01:24:28,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8423254Z [2022-11-23 01:24:28,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8423657Z [2022-11-23 01:24:28,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8424101Z [2022-11-23 01:24:28,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:19.8424409Z [2022-11-23 01:24:28,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3056
2022-11-23T01:30:19.8424643Z [2022-11-23 01:24:28,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.8425016Z [2022-11-23 01:24:28,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8425315Z [2022-11-23 01:24:28,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.grid_sampler_2d)]
2022-11-23T01:30:19.8425634Z [2022-11-23 01:24:28,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T01:30:19.8425984Z [2022-11-23 01:24:28,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8426368Z [2022-11-23 01:24:28,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8426831Z [2022-11-23 01:24:28,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.8427302Z [2022-11-23 01:24:28,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:19.8427613Z [2022-11-23 01:24:28,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3054
2022-11-23T01:30:19.8427882Z [2022-11-23 01:24:28,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8428124Z [2022-11-23 01:24:28,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8428509Z [2022-11-23 01:24:28,997] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e09d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3053>
2022-11-23T01:30:19.8428740Z [2022-11-23 01:24:28,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8428972Z [2022-11-23 01:24:28,998] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8429224Z [2022-11-23 01:24:28,999] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8429468Z [2022-11-23 01:24:29,083] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8429652Z [2022-11-23 01:24:29,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8429787Z  __compiled_fn_185 <eval_with_key>.1574 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8429874Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8429959Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8430094Z call_function, grid_sampler_2d, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 0, True), {}
2022-11-23T01:30:19.8430234Z call_function, grid_sampler_2d_1, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 1, False), {}
2022-11-23T01:30:19.8430359Z output, output, output, ((grid_sampler_2d, grid_sampler_2d_1),), {}
2022-11-23T01:30:19.8430365Z 
2022-11-23T01:30:19.8430686Z [2022-11-23 01:24:29,084] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8430776Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8430864Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8430947Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8431037Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8431110Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8431195Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8431268Z              12 RETURN_VALUE
2022-11-23T01:30:19.8431300Z 
2022-11-23T01:30:19.8431362Z  
2022-11-23T01:30:19.8431681Z [2022-11-23 01:24:29,084] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8431786Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_185)
2022-11-23T01:30:19.8431873Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8431959Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8432024Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8432112Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8432196Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8432270Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8432354Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.8432487Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8432583Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8432660Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8432737Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8432834Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8432921Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8432994Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8433078Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.8433151Z              32 RETURN_VALUE
2022-11-23T01:30:19.8433156Z 
2022-11-23T01:30:19.8433214Z  
2022-11-23T01:30:19.8433384Z [2022-11-23 01:24:29,085] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8433450Z  - 
2022-11-23T01:30:19.8433569Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8433630Z             {
2022-11-23T01:30:19.8433766Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8434023Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.8434141Z                 'obj_weakref': None
2022-11-23T01:30:19.8434355Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8434417Z             }
2022-11-23T01:30:19.8434479Z             
2022-11-23T01:30:19.8434547Z  - 
2022-11-23T01:30:19.8434670Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8434730Z             {
2022-11-23T01:30:19.8434860Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8434967Z                 'code': None,
2022-11-23T01:30:19.8435176Z                 'obj_weakref': <weakref at 0x7ff58fc44b30; to 'Tensor' at 0x7ff5a80d1990>
2022-11-23T01:30:19.8435426Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8435488Z             }
2022-11-23T01:30:19.8435551Z             
2022-11-23T01:30:19.8435621Z  - 
2022-11-23T01:30:19.8435730Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8435793Z             {
2022-11-23T01:30:19.8435934Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8436039Z                 'code': None,
2022-11-23T01:30:19.8436250Z                 'obj_weakref': <weakref at 0x7ff58fc4f9c0; to 'Tensor' at 0x7ff58fc466b0>
2022-11-23T01:30:19.8436501Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8436562Z             }
2022-11-23T01:30:19.8436621Z             
2022-11-23T01:30:19.8436676Z  - 
2022-11-23T01:30:19.8436802Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8436866Z             {
2022-11-23T01:30:19.8436996Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8437164Z                 'code': ['___check_obj_id(model, 140693065989664)'],
2022-11-23T01:30:19.8437278Z                 'obj_weakref': None
2022-11-23T01:30:19.8437509Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8437560Z             }
2022-11-23T01:30:19.8437621Z             
2022-11-23T01:30:19.8437736Z  - 
2022-11-23T01:30:19.8437858Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8437920Z             {
2022-11-23T01:30:19.8438054Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8438257Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8438369Z                 'obj_weakref': None
2022-11-23T01:30:19.8438586Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8438653Z             }
2022-11-23T01:30:19.8438717Z             
2022-11-23T01:30:19.8438787Z  - 
2022-11-23T01:30:19.8438918Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8438968Z             {
2022-11-23T01:30:19.8439084Z                 'guard_types': None,
2022-11-23T01:30:19.8439218Z                 'code': None,
2022-11-23T01:30:19.8439333Z                 'obj_weakref': None
2022-11-23T01:30:19.8439453Z                 'guarded_class': None
2022-11-23T01:30:19.8439516Z             }
2022-11-23T01:30:19.8439579Z             
2022-11-23T01:30:19.8439827Z [2022-11-23 01:24:29,276] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 184
2022-11-23T01:30:19.8440032Z [2022-11-23 01:24:30,021] torch._inductor.scheduler: [DEBUG] remove_buffer('buf7')
2022-11-23T01:30:19.8440229Z [2022-11-23 01:24:30,022] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2022-11-23T01:30:19.8440423Z [2022-11-23 01:24:30,022] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T01:30:19.8440613Z [2022-11-23 01:24:30,022] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:30:19.8440813Z [2022-11-23 01:24:30,022] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:30:19.8441009Z [2022-11-23 01:24:30,022] torch._inductor.scheduler: [DEBUG] remove_buffer('buf8')
2022-11-23T01:30:19.8441015Z 
2022-11-23T01:30:19.8441105Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8441164Z import torch
2022-11-23T01:30:19.8441232Z import random
2022-11-23T01:30:19.8441345Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8441463Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8441468Z 
2022-11-23T01:30:19.8441546Z aten = torch.ops.aten
2022-11-23T01:30:19.8441680Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8441771Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8441776Z 
2022-11-23T01:30:19.8441780Z 
2022-11-23T01:30:19.8441913Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8442108Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8442223Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.8442324Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:19.8442428Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8442533Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:30:19.8442592Z {
2022-11-23T01:30:19.8442692Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8442751Z     {
2022-11-23T01:30:19.8442815Z         #pragma omp for 
2022-11-23T01:30:19.8442892Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.8442953Z         {
2022-11-23T01:30:19.8443030Z             #pragma GCC ivdep
2022-11-23T01:30:19.8443110Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:19.8443170Z             {
2022-11-23T01:30:19.8443240Z                 #pragma GCC ivdep
2022-11-23T01:30:19.8443328Z                 for(long i2=0; i2<123904; i2+=1)
2022-11-23T01:30:19.8443391Z                 {
2022-11-23T01:30:19.8443457Z                     {
2022-11-23T01:30:19.8443526Z                         {
2022-11-23T01:30:19.8443633Z                             auto tmp2 = in_ptr0[(2*i2) + (247808*i0)];
2022-11-23T01:30:19.8443741Z                             auto tmp11 = in_ptr0[1 + (2*i2) + (247808*i0)];
2022-11-23T01:30:19.8443869Z                             auto tmp0 = static_cast<long>(i0);
2022-11-23T01:30:19.8443977Z                             auto tmp1 = static_cast<long>(i1);
2022-11-23T01:30:19.8444082Z                             auto tmp3 = static_cast<float>(175.5);
2022-11-23T01:30:19.8444176Z                             auto tmp4 = tmp2 * tmp3;
2022-11-23T01:30:19.8444268Z                             auto tmp5 = tmp4 + tmp3;
2022-11-23T01:30:19.8444377Z                             auto tmp6 = std::floor(tmp5);
2022-11-23T01:30:19.8444483Z                             auto tmp7 = static_cast<float>(0);
2022-11-23T01:30:19.8444577Z                             auto tmp8 = tmp6 >= tmp7;
2022-11-23T01:30:19.8444672Z                             auto tmp9 = static_cast<float>(352);
2022-11-23T01:30:19.8444766Z                             auto tmp10 = tmp6 < tmp9;
2022-11-23T01:30:19.8444894Z                             auto tmp12 = tmp11 * tmp3;
2022-11-23T01:30:19.8444989Z                             auto tmp13 = tmp12 + tmp3;
2022-11-23T01:30:19.8445097Z                             auto tmp14 = std::floor(tmp13);
2022-11-23T01:30:19.8445191Z                             auto tmp15 = tmp14 >= tmp7;
2022-11-23T01:30:19.8445286Z                             auto tmp16 = tmp14 < tmp9;
2022-11-23T01:30:19.8445370Z                             auto tmp17 = tmp15 && tmp16;
2022-11-23T01:30:19.8445464Z                             auto tmp18 = tmp10 && tmp17;
2022-11-23T01:30:19.8445556Z                             auto tmp19 = tmp8 && tmp18;
2022-11-23T01:30:19.8445667Z                             auto tmp20 = static_cast<long>(tmp14);
2022-11-23T01:30:19.8445770Z                             auto tmp21 = static_cast<long>(0);
2022-11-23T01:30:19.8445871Z                             auto tmp22 = tmp19 ? tmp20 : tmp21;
2022-11-23T01:30:19.8445981Z                             auto tmp23 = static_cast<long>(tmp6);
2022-11-23T01:30:19.8446083Z                             auto tmp24 = tmp19 ? tmp23 : tmp21;
2022-11-23T01:30:19.8446204Z                             auto tmp25 = in_ptr1[tmp24 + (352*tmp22) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:30:19.8446308Z                             auto tmp26 = static_cast<float>(1);
2022-11-23T01:30:19.8446401Z                             auto tmp27 = tmp6 + tmp26;
2022-11-23T01:30:19.8446548Z                             auto tmp28 = tmp27 - tmp5;
2022-11-23T01:30:19.8446643Z                             auto tmp29 = tmp14 + tmp26;
2022-11-23T01:30:19.8446787Z                             auto tmp30 = tmp29 - tmp13;
2022-11-23T01:30:19.8446881Z                             auto tmp31 = tmp28 * tmp30;
2022-11-23T01:30:19.8446981Z                             auto tmp32 = tmp19 ? tmp31 : tmp7;
2022-11-23T01:30:19.8447062Z                             auto tmp33 = tmp25 * tmp32;
2022-11-23T01:30:19.8447156Z                             auto tmp34 = tmp27 >= tmp7;
2022-11-23T01:30:19.8447252Z                             auto tmp35 = tmp27 < tmp9;
2022-11-23T01:30:19.8447350Z                             auto tmp36 = tmp35 && tmp17;
2022-11-23T01:30:19.8447444Z                             auto tmp37 = tmp34 && tmp36;
2022-11-23T01:30:19.8447541Z                             auto tmp38 = tmp37 ? tmp20 : tmp21;
2022-11-23T01:30:19.8447646Z                             auto tmp39 = static_cast<long>(tmp27);
2022-11-23T01:30:19.8447736Z                             auto tmp40 = tmp37 ? tmp39 : tmp21;
2022-11-23T01:30:19.8447867Z                             auto tmp41 = in_ptr1[tmp40 + (352*tmp38) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:30:19.8448013Z                             auto tmp42 = tmp5 - tmp6;
2022-11-23T01:30:19.8448106Z                             auto tmp43 = tmp42 * tmp30;
2022-11-23T01:30:19.8448209Z                             auto tmp44 = tmp37 ? tmp43 : tmp7;
2022-11-23T01:30:19.8448300Z                             auto tmp45 = tmp41 * tmp44;
2022-11-23T01:30:19.8448392Z                             auto tmp46 = tmp29 >= tmp7;
2022-11-23T01:30:19.8448485Z                             auto tmp47 = tmp29 < tmp9;
2022-11-23T01:30:19.8448595Z                             auto tmp48 = tmp46 && tmp47;
2022-11-23T01:30:19.8448689Z                             auto tmp49 = tmp10 && tmp48;
2022-11-23T01:30:19.8448784Z                             auto tmp50 = tmp8 && tmp49;
2022-11-23T01:30:19.8448891Z                             auto tmp51 = static_cast<long>(tmp29);
2022-11-23T01:30:19.8448993Z                             auto tmp52 = tmp50 ? tmp51 : tmp21;
2022-11-23T01:30:19.8449092Z                             auto tmp53 = tmp50 ? tmp23 : tmp21;
2022-11-23T01:30:19.8449220Z                             auto tmp54 = in_ptr1[tmp53 + (352*tmp52) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:30:19.8449352Z                             auto tmp55 = tmp13 - tmp14;
2022-11-23T01:30:19.8449445Z                             auto tmp56 = tmp28 * tmp55;
2022-11-23T01:30:19.8449574Z                             auto tmp57 = tmp50 ? tmp56 : tmp7;
2022-11-23T01:30:19.8449667Z                             auto tmp58 = tmp54 * tmp57;
2022-11-23T01:30:19.8449764Z                             auto tmp59 = tmp35 && tmp48;
2022-11-23T01:30:19.8449857Z                             auto tmp60 = tmp34 && tmp59;
2022-11-23T01:30:19.8449958Z                             auto tmp61 = tmp60 ? tmp51 : tmp21;
2022-11-23T01:30:19.8450058Z                             auto tmp62 = tmp60 ? tmp39 : tmp21;
2022-11-23T01:30:19.8450174Z                             auto tmp63 = in_ptr1[tmp62 + (352*tmp61) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:30:19.8450264Z                             auto tmp64 = tmp33 + tmp45;
2022-11-23T01:30:19.8450355Z                             auto tmp65 = tmp64 + tmp58;
2022-11-23T01:30:19.8450446Z                             auto tmp66 = tmp42 * tmp55;
2022-11-23T01:30:19.8450548Z                             auto tmp67 = tmp60 ? tmp66 : tmp7;
2022-11-23T01:30:19.8450643Z                             auto tmp68 = tmp63 * tmp67;
2022-11-23T01:30:19.8450735Z                             auto tmp69 = tmp65 + tmp68;
2022-11-23T01:30:19.8450846Z                             auto tmp70 = static_cast<float>(176.0);
2022-11-23T01:30:19.8450930Z                             auto tmp71 = tmp2 * tmp70;
2022-11-23T01:30:19.8451022Z                             auto tmp72 = tmp71 + tmp3;
2022-11-23T01:30:19.8451130Z                             auto tmp73 = static_cast<float>(0.0);
2022-11-23T01:30:19.8451241Z                             auto tmp74 = std::max(tmp72, tmp73);
2022-11-23T01:30:19.8451347Z                             auto tmp75 = static_cast<float>(351.0);
2022-11-23T01:30:19.8451454Z                             auto tmp76 = std::min(tmp74, tmp75);
2022-11-23T01:30:19.8451552Z                             auto tmp77 = std::floor(tmp76);
2022-11-23T01:30:19.8451636Z                             auto tmp78 = tmp77 >= tmp7;
2022-11-23T01:30:19.8451735Z                             auto tmp79 = tmp77 < tmp9;
2022-11-23T01:30:19.8451829Z                             auto tmp80 = tmp11 * tmp70;
2022-11-23T01:30:19.8451924Z                             auto tmp81 = tmp80 + tmp3;
2022-11-23T01:30:19.8452030Z                             auto tmp82 = std::max(tmp81, tmp73);
2022-11-23T01:30:19.8452132Z                             auto tmp83 = std::min(tmp82, tmp75);
2022-11-23T01:30:19.8452234Z                             auto tmp84 = std::floor(tmp83);
2022-11-23T01:30:19.8452326Z                             auto tmp85 = tmp84 >= tmp7;
2022-11-23T01:30:19.8452408Z                             auto tmp86 = tmp84 < tmp9;
2022-11-23T01:30:19.8452503Z                             auto tmp87 = tmp85 && tmp86;
2022-11-23T01:30:19.8452596Z                             auto tmp88 = tmp79 && tmp87;
2022-11-23T01:30:19.8452688Z                             auto tmp89 = tmp78 && tmp88;
2022-11-23T01:30:19.8452795Z                             auto tmp90 = static_cast<long>(tmp84);
2022-11-23T01:30:19.8452898Z                             auto tmp91 = tmp89 ? tmp90 : tmp21;
2022-11-23T01:30:19.8453005Z                             auto tmp92 = static_cast<long>(tmp77);
2022-11-23T01:30:19.8453133Z                             auto tmp93 = tmp89 ? tmp92 : tmp21;
2022-11-23T01:30:19.8453253Z                             auto tmp94 = in_ptr1[tmp93 + (352*tmp91) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:30:19.8453346Z                             auto tmp95 = tmp77 + tmp26;
2022-11-23T01:30:19.8453438Z                             auto tmp96 = tmp95 >= tmp7;
2022-11-23T01:30:19.8453531Z                             auto tmp97 = tmp95 < tmp9;
2022-11-23T01:30:19.8453627Z                             auto tmp98 = tmp97 && tmp87;
2022-11-23T01:30:19.8453719Z                             auto tmp99 = tmp96 && tmp98;
2022-11-23T01:30:19.8453824Z                             auto tmp100 = tmp99 ? tmp90 : tmp21;
2022-11-23T01:30:19.8453921Z                             auto tmp101 = static_cast<long>(tmp95);
2022-11-23T01:30:19.8454054Z                             auto tmp102 = tmp99 ? tmp101 : tmp21;
2022-11-23T01:30:19.8454186Z                             auto tmp103 = in_ptr1[tmp102 + (352*tmp100) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:30:19.8454335Z                             auto tmp104 = tmp95 - tmp76;
2022-11-23T01:30:19.8454431Z                             auto tmp105 = tmp84 + tmp26;
2022-11-23T01:30:19.8454580Z                             auto tmp106 = tmp105 - tmp83;
2022-11-23T01:30:19.8454679Z                             auto tmp107 = tmp104 * tmp106;
2022-11-23T01:30:19.8454781Z                             auto tmp108 = tmp89 ? tmp107 : tmp7;
2022-11-23T01:30:19.8454865Z                             auto tmp109 = tmp94 * tmp108;
2022-11-23T01:30:19.8455011Z                             auto tmp110 = tmp76 - tmp77;
2022-11-23T01:30:19.8455109Z                             auto tmp111 = tmp110 * tmp106;
2022-11-23T01:30:19.8455213Z                             auto tmp112 = tmp99 ? tmp111 : tmp7;
2022-11-23T01:30:19.8455313Z                             auto tmp113 = tmp103 * tmp112;
2022-11-23T01:30:19.8455410Z                             auto tmp114 = tmp109 + tmp113;
2022-11-23T01:30:19.8455510Z                             auto tmp115 = tmp105 >= tmp7;
2022-11-23T01:30:19.8455593Z                             auto tmp116 = tmp105 < tmp9;
2022-11-23T01:30:19.8455694Z                             auto tmp117 = tmp115 && tmp116;
2022-11-23T01:30:19.8455789Z                             auto tmp118 = tmp79 && tmp117;
2022-11-23T01:30:19.8455885Z                             auto tmp119 = tmp78 && tmp118;
2022-11-23T01:30:19.8455999Z                             auto tmp120 = static_cast<long>(tmp105);
2022-11-23T01:30:19.8456104Z                             auto tmp121 = tmp119 ? tmp120 : tmp21;
2022-11-23T01:30:19.8456209Z                             auto tmp122 = tmp119 ? tmp92 : tmp21;
2022-11-23T01:30:19.8456340Z                             auto tmp123 = in_ptr1[tmp122 + (352*tmp121) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:30:19.8456574Z                             auto tmp124 = tmp97 && tmp117;
2022-11-23T01:30:19.8456729Z                             auto tmp125 = tmp96 && tmp124;
2022-11-23T01:30:19.8456833Z                             auto tmp126 = tmp125 ? tmp120 : tmp21;
2022-11-23T01:30:19.8456934Z                             auto tmp127 = tmp125 ? tmp101 : tmp21;
2022-11-23T01:30:19.8457064Z                             auto tmp128 = in_ptr1[tmp127 + (352*tmp126) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:30:19.8457223Z                             auto tmp129 = tmp83 - tmp84;
2022-11-23T01:30:19.8457321Z                             auto tmp130 = tmp104 * tmp129;
2022-11-23T01:30:19.8457425Z                             auto tmp131 = tmp119 ? tmp130 : tmp7;
2022-11-23T01:30:19.8457513Z                             auto tmp132 = tmp123 * tmp131;
2022-11-23T01:30:19.8457609Z                             auto tmp133 = tmp114 + tmp132;
2022-11-23T01:30:19.8457705Z                             auto tmp134 = tmp110 * tmp129;
2022-11-23T01:30:19.8457812Z                             auto tmp135 = tmp125 ? tmp134 : tmp7;
2022-11-23T01:30:19.8457966Z                             auto tmp136 = tmp128 * tmp135;
2022-11-23T01:30:19.8458060Z                             auto tmp137 = tmp133 + tmp136;
2022-11-23T01:30:19.8458172Z                             in_out_ptr0[i2 + (123904*i1) + (371712*i0)] = tmp69;
2022-11-23T01:30:19.8458284Z                             in_out_ptr1[i2 + (123904*i1) + (371712*i0)] = tmp137;
2022-11-23T01:30:19.8458340Z                         }
2022-11-23T01:30:19.8458409Z                     }
2022-11-23T01:30:19.8458473Z                 }
2022-11-23T01:30:19.8458538Z             }
2022-11-23T01:30:19.8458600Z         }
2022-11-23T01:30:19.8458661Z     }
2022-11-23T01:30:19.8458709Z }
2022-11-23T01:30:19.8458788Z ''')
2022-11-23T01:30:19.8458793Z 
2022-11-23T01:30:19.8458797Z 
2022-11-23T01:30:19.8458887Z async_compile.wait(globals())
2022-11-23T01:30:19.8458959Z del async_compile
2022-11-23T01:30:19.8458998Z 
2022-11-23T01:30:19.8459070Z def call(args):
2022-11-23T01:30:19.8459148Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8459220Z     args.clear()
2022-11-23T01:30:19.8459455Z     buf0 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8459530Z     buf10 = buf0; del buf0  # reuse
2022-11-23T01:30:19.8459759Z     buf5 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8459845Z     buf6 = buf5; del buf5  # reuse
2022-11-23T01:30:19.8459926Z     buf9 = buf6; del buf6  # reuse
2022-11-23T01:30:19.8460114Z     kernel_cpp_0(c_void_p(buf10.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:30:19.8460186Z     del arg0_1
2022-11-23T01:30:19.8460252Z     del arg1_1
2022-11-23T01:30:19.8460317Z     return (buf10, buf9, )
2022-11-23T01:30:19.8460322Z 
2022-11-23T01:30:19.8460340Z 
2022-11-23T01:30:19.8460405Z if __name__ == "__main__":
2022-11-23T01:30:19.8460517Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8460638Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8460870Z     arg0_1 = rand_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8461092Z     arg1_1 = rand_strided((4, 352, 352, 2), (247808, 704, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8461204Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8461577Z [2022-11-23 01:24:31,467] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqhdlksnjahusmmiuwhulf7t6r3glqs3qat47ppq6p6zjxsopdhy.py
2022-11-23T01:30:19.8461839Z [2022-11-23 01:24:31,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 184
2022-11-23T01:30:19.8461844Z 
2022-11-23T01:30:19.8461899Z ok (2.685s)
2022-11-23T01:30:19.8462212Z   test_hardsigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8462527Z [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8462741Z [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8462993Z [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8463268Z [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8463588Z [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8463929Z [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8464278Z [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8464654Z [2022-11-23 01:24:31,516] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f5f20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620> 
2022-11-23T01:30:19.8464737Z  2621           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8464841Z                2 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:30:19.8464928Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8465017Z                6 CALL_METHOD              1
2022-11-23T01:30:19.8465106Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8465207Z               10 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:30:19.8465292Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8465404Z               14 LOAD_CONST               1 (3)
2022-11-23T01:30:19.8465465Z               16 BINARY_ADD
2022-11-23T01:30:19.8465549Z               18 CALL_METHOD              1
2022-11-23T01:30:19.8465641Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8465744Z               22 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:30:19.8465834Z               24 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8465920Z               26 LOAD_CONST               1 (3)
2022-11-23T01:30:19.8465998Z               28 BINARY_SUBTRACT
2022-11-23T01:30:19.8466072Z               30 CALL_METHOD              1
2022-11-23T01:30:19.8466156Z               32 BUILD_TUPLE              3
2022-11-23T01:30:19.8466231Z               34 RETURN_VALUE
2022-11-23T01:30:19.8466290Z  
2022-11-23T01:30:19.8466295Z 
2022-11-23T01:30:19.8466607Z [2022-11-23 01:24:31,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2621
2022-11-23T01:30:19.8466821Z [2022-11-23 01:24:31,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:30:19.8467238Z [2022-11-23 01:24:31,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8467530Z [2022-11-23 01:24:31,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>)]
2022-11-23T01:30:19.8467845Z [2022-11-23 01:24:31,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>), TensorVariable()]
2022-11-23T01:30:19.8468082Z [2022-11-23 01:24:31,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:30:19.8468522Z [2022-11-23 01:24:31,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8468848Z [2022-11-23 01:24:31,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>)]
2022-11-23T01:30:19.8469200Z [2022-11-23 01:24:31,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>), TensorVariable()]
2022-11-23T01:30:19.8469594Z [2022-11-23 01:24:31,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8469949Z [2022-11-23 01:24:31,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>), TensorVariable()]
2022-11-23T01:30:19.8470214Z [2022-11-23 01:24:31,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8470714Z [2022-11-23 01:24:31,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8471065Z [2022-11-23 01:24:31,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>)]
2022-11-23T01:30:19.8471442Z [2022-11-23 01:24:31,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>), TensorVariable()]
2022-11-23T01:30:19.8471877Z [2022-11-23 01:24:31,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8472290Z [2022-11-23 01:24:31,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7ff5aefcb5b0>), TensorVariable()]
2022-11-23T01:30:19.8472583Z [2022-11-23 01:24:31,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8472814Z [2022-11-23 01:24:31,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8473188Z [2022-11-23 01:24:31,529] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f5f20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2620>
2022-11-23T01:30:19.8473428Z [2022-11-23 01:24:31,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8473659Z [2022-11-23 01:24:31,529] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8473987Z [2022-11-23 01:24:31,530] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8474240Z [2022-11-23 01:24:31,540] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8474428Z [2022-11-23 01:24:31,541] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8474561Z  __compiled_fn_186 <eval_with_key>.1580 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8474650Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8474788Z call_function, hardsigmoid, <function hardsigmoid at 0x7ff5aefcb5b0>, (ex_0_,), {}
2022-11-23T01:30:19.8474959Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:30:19.8475105Z call_function, hardsigmoid_1, <function hardsigmoid at 0x7ff5aefcb5b0>, (add,), {}
2022-11-23T01:30:19.8475272Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:30:19.8475416Z call_function, hardsigmoid_2, <function hardsigmoid at 0x7ff5aefcb5b0>, (sub,), {}
2022-11-23T01:30:19.8475560Z output, output, output, ((hardsigmoid, hardsigmoid_1, hardsigmoid_2),), {}
2022-11-23T01:30:19.8475565Z 
2022-11-23T01:30:19.8475890Z [2022-11-23 01:24:31,541] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8475983Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8476062Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8476148Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8476240Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8476324Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8476410Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8476483Z              12 RETURN_VALUE
2022-11-23T01:30:19.8476488Z 
2022-11-23T01:30:19.8476547Z  
2022-11-23T01:30:19.8476867Z [2022-11-23 01:24:31,541] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8476964Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_186)
2022-11-23T01:30:19.8477100Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8477190Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8477265Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8477351Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8477453Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8477553Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8477630Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8477705Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8477803Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8477888Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8477963Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8478097Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8478183Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8478249Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8478336Z              30 BUILD_TUPLE              3
2022-11-23T01:30:19.8478408Z              32 RETURN_VALUE
2022-11-23T01:30:19.8478413Z 
2022-11-23T01:30:19.8478472Z  
2022-11-23T01:30:19.8478654Z [2022-11-23 01:24:31,542] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8478720Z  - 
2022-11-23T01:30:19.8478839Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8478902Z             {
2022-11-23T01:30:19.8479030Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8479212Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8479330Z                 'obj_weakref': None
2022-11-23T01:30:19.8479553Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8479618Z             }
2022-11-23T01:30:19.8479680Z             
2022-11-23T01:30:19.8479748Z  - 
2022-11-23T01:30:19.8479858Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8479920Z             {
2022-11-23T01:30:19.8480060Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8480165Z                 'code': None,
2022-11-23T01:30:19.8480374Z                 'obj_weakref': <weakref at 0x7ff58f91e6b0; to 'Tensor' at 0x7ff59c18d030>
2022-11-23T01:30:19.8480627Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8480688Z             }
2022-11-23T01:30:19.8480739Z             
2022-11-23T01:30:19.8480805Z  - 
2022-11-23T01:30:19.8480934Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8480996Z             {
2022-11-23T01:30:19.8481128Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8481294Z                 'code': ['___check_obj_id(model, 140692659572160)'],
2022-11-23T01:30:19.8481412Z                 'obj_weakref': None
2022-11-23T01:30:19.8481629Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8481691Z             }
2022-11-23T01:30:19.8481753Z             
2022-11-23T01:30:19.8481821Z  - 
2022-11-23T01:30:19.8481941Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8482002Z             {
2022-11-23T01:30:19.8482124Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8482339Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8482454Z                 'obj_weakref': None
2022-11-23T01:30:19.8482672Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8482733Z             }
2022-11-23T01:30:19.8482794Z             
2022-11-23T01:30:19.8482860Z  - 
2022-11-23T01:30:19.8482983Z             global 'F' FUNCTION_MATCH
2022-11-23T01:30:19.8483036Z             {
2022-11-23T01:30:19.8483154Z                 'guard_types': None,
2022-11-23T01:30:19.8483258Z                 'code': None,
2022-11-23T01:30:19.8483410Z                 'obj_weakref': None
2022-11-23T01:30:19.8483529Z                 'guarded_class': None
2022-11-23T01:30:19.8483592Z             }
2022-11-23T01:30:19.8483644Z             
2022-11-23T01:30:19.8483902Z [2022-11-23 01:24:31,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 185
2022-11-23T01:30:19.8484271Z [2022-11-23 01:24:33,034] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2k/c2kzbcdzf7igy72ucqgrrmemdtpooqfqopie5mcsddy4hc4q7nut.py
2022-11-23T01:30:19.8484531Z [2022-11-23 01:24:33,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 185
2022-11-23T01:30:19.8484537Z 
2022-11-23T01:30:19.8484629Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8484695Z import torch
2022-11-23T01:30:19.8484765Z import random
2022-11-23T01:30:19.8484911Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8485018Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8485035Z 
2022-11-23T01:30:19.8485102Z aten = torch.ops.aten
2022-11-23T01:30:19.8485234Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8485325Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8485330Z 
2022-11-23T01:30:19.8485334Z 
2022-11-23T01:30:19.8485468Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8485674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8485793Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8485891Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8485975Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.8486068Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.8486127Z {
2022-11-23T01:30:19.8486225Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8486288Z     {
2022-11-23T01:30:19.8486363Z         #pragma omp for 
2022-11-23T01:30:19.8486444Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.8486494Z         {
2022-11-23T01:30:19.8486631Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8486762Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:19.8486850Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8486982Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:30:19.8487088Z             auto tmp4 = at::vec::maximum(tmp2, tmp3);
2022-11-23T01:30:19.8487220Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2022-11-23T01:30:19.8487324Z             auto tmp6 = at::vec::minimum(tmp4, tmp5);
2022-11-23T01:30:19.8487451Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T01:30:19.8487526Z             auto tmp8 = tmp6 / tmp7;
2022-11-23T01:30:19.8487605Z             auto tmp9 = tmp2 + tmp1;
2022-11-23T01:30:19.8487713Z             auto tmp10 = at::vec::maximum(tmp9, tmp3);
2022-11-23T01:30:19.8487823Z             auto tmp11 = at::vec::minimum(tmp10, tmp5);
2022-11-23T01:30:19.8487907Z             auto tmp12 = tmp11 / tmp7;
2022-11-23T01:30:19.8488031Z             auto tmp13 = tmp0 - tmp1;
2022-11-23T01:30:19.8488118Z             auto tmp14 = tmp13 + tmp1;
2022-11-23T01:30:19.8488212Z             auto tmp15 = at::vec::maximum(tmp14, tmp3);
2022-11-23T01:30:19.8488318Z             auto tmp16 = at::vec::minimum(tmp15, tmp5);
2022-11-23T01:30:19.8488399Z             auto tmp17 = tmp16 / tmp7;
2022-11-23T01:30:19.8488490Z             tmp8.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8488580Z             tmp12.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8488667Z             tmp17.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.8488728Z         }
2022-11-23T01:30:19.8488809Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8488892Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.8488952Z         {
2022-11-23T01:30:19.8489036Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8489166Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:30:19.8489250Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8489349Z             auto tmp3 = static_cast<float>(0.0);
2022-11-23T01:30:19.8489435Z             auto tmp4 = std::max(tmp2, tmp3);
2022-11-23T01:30:19.8489531Z             auto tmp5 = static_cast<float>(6.0);
2022-11-23T01:30:19.8489626Z             auto tmp6 = std::min(tmp4, tmp5);
2022-11-23T01:30:19.8489722Z             auto tmp7 = static_cast<float>(6);
2022-11-23T01:30:19.8489806Z             auto tmp8 = tmp6 / tmp7;
2022-11-23T01:30:19.8489888Z             auto tmp9 = tmp2 + tmp1;
2022-11-23T01:30:19.8489983Z             auto tmp10 = std::max(tmp9, tmp3);
2022-11-23T01:30:19.8490082Z             auto tmp11 = std::min(tmp10, tmp5);
2022-11-23T01:30:19.8490185Z             auto tmp12 = tmp11 / tmp7;
2022-11-23T01:30:19.8490309Z             auto tmp13 = tmp0 - tmp1;
2022-11-23T01:30:19.8490393Z             auto tmp14 = tmp13 + tmp1;
2022-11-23T01:30:19.8490492Z             auto tmp15 = std::max(tmp14, tmp3);
2022-11-23T01:30:19.8490587Z             auto tmp16 = std::min(tmp15, tmp5);
2022-11-23T01:30:19.8490669Z             auto tmp17 = tmp16 / tmp7;
2022-11-23T01:30:19.8490748Z             out_ptr0[i0] = tmp8;
2022-11-23T01:30:19.8490816Z             out_ptr1[i0] = tmp12;
2022-11-23T01:30:19.8490894Z             out_ptr2[i0] = tmp17;
2022-11-23T01:30:19.8490954Z         }
2022-11-23T01:30:19.8491015Z     }
2022-11-23T01:30:19.8491073Z }
2022-11-23T01:30:19.8491149Z ''')
2022-11-23T01:30:19.8491154Z 
2022-11-23T01:30:19.8491158Z 
2022-11-23T01:30:19.8491246Z async_compile.wait(globals())
2022-11-23T01:30:19.8491306Z del async_compile
2022-11-23T01:30:19.8491311Z 
2022-11-23T01:30:19.8491379Z def call(args):
2022-11-23T01:30:19.8491447Z     arg0_1, = args
2022-11-23T01:30:19.8491521Z     args.clear()
2022-11-23T01:30:19.8491712Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8491903Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8492087Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8492262Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.8492330Z     del arg0_1
2022-11-23T01:30:19.8492411Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.8492415Z 
2022-11-23T01:30:19.8492420Z 
2022-11-23T01:30:19.8492495Z if __name__ == "__main__":
2022-11-23T01:30:19.8492607Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8492726Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8492916Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8493023Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8493028Z 
2022-11-23T01:30:19.8493081Z ok (1.524s)
2022-11-23T01:30:19.8493387Z   test_hardswish_cpu (__main__.CpuTests) ... [2022-11-23 01:24:33,041] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8493700Z [2022-11-23 01:24:33,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8493916Z [2022-11-23 01:24:33,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8494167Z [2022-11-23 01:24:33,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8494444Z [2022-11-23 01:24:33,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8494760Z [2022-11-23 01:24:33,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8495133Z [2022-11-23 01:24:33,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8495456Z [2022-11-23 01:24:33,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8495826Z [2022-11-23 01:24:33,042] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629> 
2022-11-23T01:30:19.8495921Z  2630           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8496011Z                2 LOAD_METHOD              1 (hardswish)
2022-11-23T01:30:19.8496101Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8496192Z                6 CALL_METHOD              1
2022-11-23T01:30:19.8496288Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8496553Z               10 LOAD_METHOD              1 (hardswish)
2022-11-23T01:30:19.8496647Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8496781Z               14 LOAD_CONST               1 (3)
2022-11-23T01:30:19.8496845Z               16 BINARY_ADD
2022-11-23T01:30:19.8496933Z               18 CALL_METHOD              1
2022-11-23T01:30:19.8497023Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8497123Z               22 LOAD_METHOD              1 (hardswish)
2022-11-23T01:30:19.8497211Z               24 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8497300Z               26 LOAD_CONST               1 (3)
2022-11-23T01:30:19.8497382Z               28 BINARY_SUBTRACT
2022-11-23T01:30:19.8497456Z               30 CALL_METHOD              1
2022-11-23T01:30:19.8497544Z               32 BUILD_TUPLE              3
2022-11-23T01:30:19.8497622Z               34 RETURN_VALUE
2022-11-23T01:30:19.8497684Z  
2022-11-23T01:30:19.8497690Z 
2022-11-23T01:30:19.8498012Z [2022-11-23 01:24:33,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2630
2022-11-23T01:30:19.8498226Z [2022-11-23 01:24:33,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:30:19.8498639Z [2022-11-23 01:24:33,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8498933Z [2022-11-23 01:24:33,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardswish at 0x7ff5aefcb760>)]
2022-11-23T01:30:19.8499259Z [2022-11-23 01:24:33,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardswish at 0x7ff5aefcb760>), TensorVariable()]
2022-11-23T01:30:19.8499488Z [2022-11-23 01:24:33,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:30:19.8499932Z [2022-11-23 01:24:33,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8500253Z [2022-11-23 01:24:33,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardswish at 0x7ff5aefcb760>)]
2022-11-23T01:30:19.8500601Z [2022-11-23 01:24:33,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardswish at 0x7ff5aefcb760>), TensorVariable()]
2022-11-23T01:30:19.8500996Z [2022-11-23 01:24:33,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardswish at 0x7ff5aefcb760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8501353Z [2022-11-23 01:24:33,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardswish at 0x7ff5aefcb760>), TensorVariable()]
2022-11-23T01:30:19.8501678Z [2022-11-23 01:24:33,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8502142Z [2022-11-23 01:24:33,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8502488Z [2022-11-23 01:24:33,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7ff5aefcb760>)]
2022-11-23T01:30:19.8502864Z [2022-11-23 01:24:33,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7ff5aefcb760>), TensorVariable()]
2022-11-23T01:30:19.8503298Z [2022-11-23 01:24:33,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7ff5aefcb760>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8503717Z [2022-11-23 01:24:33,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7ff5aefcb760>), TensorVariable()]
2022-11-23T01:30:19.8504010Z [2022-11-23 01:24:33,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8504241Z [2022-11-23 01:24:33,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8504616Z [2022-11-23 01:24:33,064] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2629>
2022-11-23T01:30:19.8504861Z [2022-11-23 01:24:33,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8505098Z [2022-11-23 01:24:33,064] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8505352Z [2022-11-23 01:24:33,067] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8505606Z [2022-11-23 01:24:33,079] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8505793Z [2022-11-23 01:24:33,079] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8505928Z  __compiled_fn_187 <eval_with_key>.1586 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8506015Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8506147Z call_function, hardswish, <function hardswish at 0x7ff5aefcb760>, (ex_0_,), {}
2022-11-23T01:30:19.8506321Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:30:19.8506464Z call_function, hardswish_1, <function hardswish at 0x7ff5aefcb760>, (add,), {}
2022-11-23T01:30:19.8506634Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:30:19.8506772Z call_function, hardswish_2, <function hardswish at 0x7ff5aefcb760>, (sub,), {}
2022-11-23T01:30:19.8506905Z output, output, output, ((hardswish, hardswish_1, hardswish_2),), {}
2022-11-23T01:30:19.8506911Z 
2022-11-23T01:30:19.8507235Z [2022-11-23 01:24:33,079] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8507331Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8507420Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8507495Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8507583Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8507669Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8507758Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8507834Z              12 RETURN_VALUE
2022-11-23T01:30:19.8507842Z 
2022-11-23T01:30:19.8507904Z  
2022-11-23T01:30:19.8508279Z [2022-11-23 01:24:33,079] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8508375Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_187)
2022-11-23T01:30:19.8508463Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8508549Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8508624Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8508709Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8508808Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8508907Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8508983Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8509058Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8509156Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8509272Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8509347Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8509450Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8509537Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8509611Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8509685Z              30 BUILD_TUPLE              3
2022-11-23T01:30:19.8509759Z              32 RETURN_VALUE
2022-11-23T01:30:19.8509764Z 
2022-11-23T01:30:19.8509824Z  
2022-11-23T01:30:19.8510007Z [2022-11-23 01:24:33,080] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8510075Z  - 
2022-11-23T01:30:19.8510193Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8510258Z             {
2022-11-23T01:30:19.8510386Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8510571Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8510693Z                 'obj_weakref': None
2022-11-23T01:30:19.8510916Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8510978Z             }
2022-11-23T01:30:19.8511045Z             
2022-11-23T01:30:19.8511112Z  - 
2022-11-23T01:30:19.8511223Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8511283Z             {
2022-11-23T01:30:19.8511425Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8511529Z                 'code': None,
2022-11-23T01:30:19.8511742Z                 'obj_weakref': <weakref at 0x7ff58ff8aa20; to 'Tensor' at 0x7ff58fc16a70>
2022-11-23T01:30:19.8511992Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8512055Z             }
2022-11-23T01:30:19.8512105Z             
2022-11-23T01:30:19.8512170Z  - 
2022-11-23T01:30:19.8512299Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8512361Z             {
2022-11-23T01:30:19.8512494Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8512660Z                 'code': ['___check_obj_id(model, 140692659571440)'],
2022-11-23T01:30:19.8512779Z                 'obj_weakref': None
2022-11-23T01:30:19.8512995Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8513057Z             }
2022-11-23T01:30:19.8513118Z             
2022-11-23T01:30:19.8513184Z  - 
2022-11-23T01:30:19.8513306Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8513367Z             {
2022-11-23T01:30:19.8513501Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8513703Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8513893Z                 'obj_weakref': None
2022-11-23T01:30:19.8514115Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8514177Z             }
2022-11-23T01:30:19.8514241Z             
2022-11-23T01:30:19.8514309Z  - 
2022-11-23T01:30:19.8514432Z             global 'F' FUNCTION_MATCH
2022-11-23T01:30:19.8514482Z             {
2022-11-23T01:30:19.8514635Z                 'guard_types': None,
2022-11-23T01:30:19.8514742Z                 'code': None,
2022-11-23T01:30:19.8514859Z                 'obj_weakref': None
2022-11-23T01:30:19.8514979Z                 'guarded_class': None
2022-11-23T01:30:19.8515040Z             }
2022-11-23T01:30:19.8515090Z             
2022-11-23T01:30:19.8515349Z [2022-11-23 01:24:33,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 186
2022-11-23T01:30:19.8515721Z [2022-11-23 01:24:34,553] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lq/clqhuyqflpmha7xmjoryrznkom4zbhmmgxc3iq5jyhkzxs5y6z7m.py
2022-11-23T01:30:19.8515983Z [2022-11-23 01:24:34,554] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 186
2022-11-23T01:30:19.8516015Z 
2022-11-23T01:30:19.8516108Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8516176Z import torch
2022-11-23T01:30:19.8516243Z import random
2022-11-23T01:30:19.8516358Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8516467Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8516483Z 
2022-11-23T01:30:19.8516549Z aten = torch.ops.aten
2022-11-23T01:30:19.8516679Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8516769Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8516774Z 
2022-11-23T01:30:19.8516778Z 
2022-11-23T01:30:19.8516909Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8517111Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8517229Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8517326Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8517420Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.8517505Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.8517563Z {
2022-11-23T01:30:19.8517664Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8517727Z     {
2022-11-23T01:30:19.8517803Z         #pragma omp for 
2022-11-23T01:30:19.8517883Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.8517933Z         {
2022-11-23T01:30:19.8518068Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8518199Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:19.8518283Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8518415Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:30:19.8518522Z             auto tmp4 = at::vec::maximum(tmp2, tmp3);
2022-11-23T01:30:19.8518652Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2022-11-23T01:30:19.8518757Z             auto tmp6 = at::vec::minimum(tmp4, tmp5);
2022-11-23T01:30:19.8518831Z             auto tmp7 = tmp0 * tmp6;
2022-11-23T01:30:19.8518957Z             auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T01:30:19.8519042Z             auto tmp9 = tmp7 / tmp8;
2022-11-23T01:30:19.8519129Z             auto tmp10 = tmp2 + tmp1;
2022-11-23T01:30:19.8519236Z             auto tmp11 = at::vec::maximum(tmp10, tmp3);
2022-11-23T01:30:19.8519341Z             auto tmp12 = at::vec::minimum(tmp11, tmp5);
2022-11-23T01:30:19.8519424Z             auto tmp13 = tmp2 * tmp12;
2022-11-23T01:30:19.8519507Z             auto tmp14 = tmp13 / tmp8;
2022-11-23T01:30:19.8519620Z             auto tmp15 = tmp0 - tmp1;
2022-11-23T01:30:19.8519700Z             auto tmp16 = tmp15 + tmp1;
2022-11-23T01:30:19.8519805Z             auto tmp17 = at::vec::maximum(tmp16, tmp3);
2022-11-23T01:30:19.8519910Z             auto tmp18 = at::vec::minimum(tmp17, tmp5);
2022-11-23T01:30:19.8519994Z             auto tmp19 = tmp15 * tmp18;
2022-11-23T01:30:19.8520078Z             auto tmp20 = tmp19 / tmp8;
2022-11-23T01:30:19.8520169Z             tmp9.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8520248Z             tmp14.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8520375Z             tmp20.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.8520438Z         }
2022-11-23T01:30:19.8520531Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8520613Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.8520672Z         {
2022-11-23T01:30:19.8520756Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8520841Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:30:19.8520922Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8521021Z             auto tmp3 = static_cast<float>(0.0);
2022-11-23T01:30:19.8521117Z             auto tmp4 = std::max(tmp2, tmp3);
2022-11-23T01:30:19.8521215Z             auto tmp5 = static_cast<float>(6.0);
2022-11-23T01:30:19.8521313Z             auto tmp6 = std::min(tmp4, tmp5);
2022-11-23T01:30:19.8521426Z             auto tmp7 = tmp0 * tmp6;
2022-11-23T01:30:19.8521510Z             auto tmp8 = static_cast<float>(6);
2022-11-23T01:30:19.8521592Z             auto tmp9 = tmp7 / tmp8;
2022-11-23T01:30:19.8521678Z             auto tmp10 = tmp2 + tmp1;
2022-11-23T01:30:19.8521777Z             auto tmp11 = std::max(tmp10, tmp3);
2022-11-23T01:30:19.8521875Z             auto tmp12 = std::min(tmp11, tmp5);
2022-11-23T01:30:19.8521956Z             auto tmp13 = tmp2 * tmp12;
2022-11-23T01:30:19.8522038Z             auto tmp14 = tmp13 / tmp8;
2022-11-23T01:30:19.8522161Z             auto tmp15 = tmp0 - tmp1;
2022-11-23T01:30:19.8522232Z             auto tmp16 = tmp15 + tmp1;
2022-11-23T01:30:19.8522327Z             auto tmp17 = std::max(tmp16, tmp3);
2022-11-23T01:30:19.8522422Z             auto tmp18 = std::min(tmp17, tmp5);
2022-11-23T01:30:19.8522505Z             auto tmp19 = tmp15 * tmp18;
2022-11-23T01:30:19.8522586Z             auto tmp20 = tmp19 / tmp8;
2022-11-23T01:30:19.8522665Z             out_ptr0[i0] = tmp9;
2022-11-23T01:30:19.8522745Z             out_ptr1[i0] = tmp14;
2022-11-23T01:30:19.8522810Z             out_ptr2[i0] = tmp20;
2022-11-23T01:30:19.8522871Z         }
2022-11-23T01:30:19.8522932Z     }
2022-11-23T01:30:19.8522992Z }
2022-11-23T01:30:19.8523068Z ''')
2022-11-23T01:30:19.8523073Z 
2022-11-23T01:30:19.8523077Z 
2022-11-23T01:30:19.8523166Z async_compile.wait(globals())
2022-11-23T01:30:19.8523237Z del async_compile
2022-11-23T01:30:19.8523242Z 
2022-11-23T01:30:19.8523300Z def call(args):
2022-11-23T01:30:19.8523366Z     arg0_1, = args
2022-11-23T01:30:19.8523436Z     args.clear()
2022-11-23T01:30:19.8523626Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8523815Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8523999Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8524187Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.8524247Z     del arg0_1
2022-11-23T01:30:19.8524328Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.8524333Z 
2022-11-23T01:30:19.8524339Z 
2022-11-23T01:30:19.8524415Z if __name__ == "__main__":
2022-11-23T01:30:19.8524526Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8524648Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8524838Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8524944Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8524949Z 
2022-11-23T01:30:19.8525014Z ok (1.519s)
2022-11-23T01:30:19.8525319Z   test_hardtanh_cpu (__main__.CpuTests) ... [2022-11-23 01:24:34,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8525622Z [2022-11-23 01:24:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8525840Z [2022-11-23 01:24:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8526121Z [2022-11-23 01:24:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8526398Z [2022-11-23 01:24:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8526716Z [2022-11-23 01:24:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8527060Z [2022-11-23 01:24:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8527378Z [2022-11-23 01:24:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8527784Z [2022-11-23 01:24:34,560] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f5dc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611> 
2022-11-23T01:30:19.8527880Z  2612           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8527978Z                2 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:30:19.8528055Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8528142Z                6 CALL_METHOD              1
2022-11-23T01:30:19.8528233Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8528329Z               10 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:30:19.8528416Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8528500Z               14 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8528571Z               16 BINARY_ADD
2022-11-23T01:30:19.8528647Z               18 CALL_METHOD              1
2022-11-23T01:30:19.8528734Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:19.8528831Z               22 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:30:19.8528915Z               24 LOAD_FAST                0 (x)
2022-11-23T01:30:19.8529002Z               26 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8529081Z               28 BINARY_SUBTRACT
2022-11-23T01:30:19.8529166Z               30 CALL_METHOD              1
2022-11-23T01:30:19.8529241Z               32 BUILD_TUPLE              3
2022-11-23T01:30:19.8529313Z               34 RETURN_VALUE
2022-11-23T01:30:19.8529372Z  
2022-11-23T01:30:19.8529378Z 
2022-11-23T01:30:19.8529690Z [2022-11-23 01:24:34,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2612
2022-11-23T01:30:19.8529899Z [2022-11-23 01:24:34,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:30:19.8530308Z [2022-11-23 01:24:34,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8530603Z [2022-11-23 01:24:34,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardtanh at 0x7ff5aefcab90>)]
2022-11-23T01:30:19.8530929Z [2022-11-23 01:24:34,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardtanh at 0x7ff5aefcab90>), TensorVariable()]
2022-11-23T01:30:19.8531167Z [2022-11-23 01:24:34,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:30:19.8531603Z [2022-11-23 01:24:34,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8531906Z [2022-11-23 01:24:34,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardtanh at 0x7ff5aefcab90>)]
2022-11-23T01:30:19.8532253Z [2022-11-23 01:24:34,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7ff5aefcab90>), TensorVariable()]
2022-11-23T01:30:19.8532680Z [2022-11-23 01:24:34,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardtanh at 0x7ff5aefcab90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8533029Z [2022-11-23 01:24:34,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7ff5aefcab90>), TensorVariable()]
2022-11-23T01:30:19.8533296Z [2022-11-23 01:24:34,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8533759Z [2022-11-23 01:24:34,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.8534129Z [2022-11-23 01:24:34,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7ff5aefcab90>)]
2022-11-23T01:30:19.8534504Z [2022-11-23 01:24:34,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7ff5aefcab90>), TensorVariable()]
2022-11-23T01:30:19.8534930Z [2022-11-23 01:24:34,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7ff5aefcab90>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8535307Z [2022-11-23 01:24:34,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7ff5aefcab90>), TensorVariable()]
2022-11-23T01:30:19.8535601Z [2022-11-23 01:24:34,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8535851Z [2022-11-23 01:24:34,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8536231Z [2022-11-23 01:24:34,568] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f5dc0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2611>
2022-11-23T01:30:19.8536589Z [2022-11-23 01:24:34,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8536822Z [2022-11-23 01:24:34,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8537075Z [2022-11-23 01:24:34,569] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8537322Z [2022-11-23 01:24:34,576] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8537513Z [2022-11-23 01:24:34,576] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8537646Z  __compiled_fn_188 <eval_with_key>.1592 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8537738Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8537880Z call_function, hardtanh, <function hardtanh at 0x7ff5aefcab90>, (ex_0_,), {}
2022-11-23T01:30:19.8538040Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.8538178Z call_function, hardtanh_1, <function hardtanh at 0x7ff5aefcab90>, (add,), {}
2022-11-23T01:30:19.8538346Z call_function, sub, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:30:19.8538479Z call_function, hardtanh_2, <function hardtanh at 0x7ff5aefcab90>, (sub,), {}
2022-11-23T01:30:19.8538608Z output, output, output, ((hardtanh, hardtanh_1, hardtanh_2),), {}
2022-11-23T01:30:19.8538613Z 
2022-11-23T01:30:19.8538933Z [2022-11-23 01:24:34,576] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8539027Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8539117Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8539257Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8539340Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8539424Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8539511Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8539585Z              12 RETURN_VALUE
2022-11-23T01:30:19.8539590Z 
2022-11-23T01:30:19.8539654Z  
2022-11-23T01:30:19.8539977Z [2022-11-23 01:24:34,576] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8540085Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_188)
2022-11-23T01:30:19.8540164Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8540253Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8540365Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8540452Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.8540559Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8540665Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8540755Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8540819Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.8540921Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8541010Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8541089Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8541189Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8541279Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8541354Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8541441Z              30 BUILD_TUPLE              3
2022-11-23T01:30:19.8541502Z              32 RETURN_VALUE
2022-11-23T01:30:19.8541509Z 
2022-11-23T01:30:19.8541570Z  
2022-11-23T01:30:19.8541753Z [2022-11-23 01:24:34,577] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8541824Z  - 
2022-11-23T01:30:19.8541945Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8542011Z             {
2022-11-23T01:30:19.8542153Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8542328Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.8542450Z                 'obj_weakref': None
2022-11-23T01:30:19.8542676Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8542741Z             }
2022-11-23T01:30:19.8542804Z             
2022-11-23T01:30:19.8542873Z  - 
2022-11-23T01:30:19.8542999Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8543049Z             {
2022-11-23T01:30:19.8543193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8543304Z                 'code': None,
2022-11-23T01:30:19.8543517Z                 'obj_weakref': <weakref at 0x7ff59c18cae0; to 'Tensor' at 0x7ff58fc14bd0>
2022-11-23T01:30:19.8543773Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8543840Z             }
2022-11-23T01:30:19.8543904Z             
2022-11-23T01:30:19.8543961Z  - 
2022-11-23T01:30:19.8544092Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8544157Z             {
2022-11-23T01:30:19.8544291Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8544460Z                 'code': ['___check_obj_id(model, 140693068984768)'],
2022-11-23T01:30:19.8544577Z                 'obj_weakref': None
2022-11-23T01:30:19.8544807Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8544858Z             }
2022-11-23T01:30:19.8544922Z             
2022-11-23T01:30:19.8544991Z  - 
2022-11-23T01:30:19.8545116Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8545180Z             {
2022-11-23T01:30:19.8545315Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8545564Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8545672Z                 'obj_weakref': None
2022-11-23T01:30:19.8545893Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8545955Z             }
2022-11-23T01:30:19.8546023Z             
2022-11-23T01:30:19.8546089Z  - 
2022-11-23T01:30:19.8546213Z             global 'F' FUNCTION_MATCH
2022-11-23T01:30:19.8546273Z             {
2022-11-23T01:30:19.8546379Z                 'guard_types': None,
2022-11-23T01:30:19.8546482Z                 'code': None,
2022-11-23T01:30:19.8546600Z                 'obj_weakref': None
2022-11-23T01:30:19.8546719Z                 'guarded_class': None
2022-11-23T01:30:19.8546781Z             }
2022-11-23T01:30:19.8546872Z             
2022-11-23T01:30:19.8547120Z [2022-11-23 01:24:34,592] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 187
2022-11-23T01:30:19.8547482Z [2022-11-23 01:24:36,009] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3m/c3m56luqn5cltsepzeui42qtmxrkq77svsw7bmg7ugwflbenwkmo.py
2022-11-23T01:30:19.8547744Z [2022-11-23 01:24:36,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 187
2022-11-23T01:30:19.8547750Z 
2022-11-23T01:30:19.8547845Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8547914Z import torch
2022-11-23T01:30:19.8547984Z import random
2022-11-23T01:30:19.8548097Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8548220Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8548225Z 
2022-11-23T01:30:19.8548300Z aten = torch.ops.aten
2022-11-23T01:30:19.8548418Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8548511Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8548516Z 
2022-11-23T01:30:19.8548520Z 
2022-11-23T01:30:19.8548652Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8548859Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8548977Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8549077Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8549170Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.8549263Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.8549310Z {
2022-11-23T01:30:19.8549406Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8549467Z     {
2022-11-23T01:30:19.8549544Z         #pragma omp for 
2022-11-23T01:30:19.8549618Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.8554200Z         {
2022-11-23T01:30:19.8554366Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8554600Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.0));
2022-11-23T01:30:19.8554713Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T01:30:19.8554847Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:30:19.8554953Z             auto tmp4 = at::vec::minimum(tmp2, tmp3);
2022-11-23T01:30:19.8555083Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8555157Z             auto tmp6 = tmp0 + tmp5;
2022-11-23T01:30:19.8555260Z             auto tmp7 = at::vec::maximum(tmp6, tmp1);
2022-11-23T01:30:19.8555360Z             auto tmp8 = at::vec::minimum(tmp7, tmp3);
2022-11-23T01:30:19.8555484Z             auto tmp9 = tmp0 - tmp5;
2022-11-23T01:30:19.8555591Z             auto tmp10 = at::vec::maximum(tmp9, tmp1);
2022-11-23T01:30:19.8555700Z             auto tmp11 = at::vec::minimum(tmp10, tmp3);
2022-11-23T01:30:19.8555791Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8555872Z             tmp8.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8555962Z             tmp11.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.8556025Z         }
2022-11-23T01:30:19.8556194Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8556281Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:19.8556342Z         {
2022-11-23T01:30:19.8556425Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8556560Z             auto tmp1 = static_cast<float>(-1.0);
2022-11-23T01:30:19.8556658Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:30:19.8556759Z             auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:19.8556856Z             auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:30:19.8556954Z             auto tmp5 = static_cast<float>(1);
2022-11-23T01:30:19.8557038Z             auto tmp6 = tmp0 + tmp5;
2022-11-23T01:30:19.8557134Z             auto tmp7 = std::max(tmp6, tmp1);
2022-11-23T01:30:19.8557228Z             auto tmp8 = std::min(tmp7, tmp3);
2022-11-23T01:30:19.8557374Z             auto tmp9 = tmp0 - tmp5;
2022-11-23T01:30:19.8557471Z             auto tmp10 = std::max(tmp9, tmp1);
2022-11-23T01:30:19.8557570Z             auto tmp11 = std::min(tmp10, tmp3);
2022-11-23T01:30:19.8557650Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.8557727Z             out_ptr1[i0] = tmp8;
2022-11-23T01:30:19.8557805Z             out_ptr2[i0] = tmp11;
2022-11-23T01:30:19.8557867Z         }
2022-11-23T01:30:19.8557915Z     }
2022-11-23T01:30:19.8557974Z }
2022-11-23T01:30:19.8558052Z ''')
2022-11-23T01:30:19.8558059Z 
2022-11-23T01:30:19.8558063Z 
2022-11-23T01:30:19.8558150Z async_compile.wait(globals())
2022-11-23T01:30:19.8558221Z del async_compile
2022-11-23T01:30:19.8558226Z 
2022-11-23T01:30:19.8558294Z def call(args):
2022-11-23T01:30:19.8558360Z     arg0_1, = args
2022-11-23T01:30:19.8558418Z     args.clear()
2022-11-23T01:30:19.8558613Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8558807Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8558993Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8559187Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.8559254Z     del arg0_1
2022-11-23T01:30:19.8559333Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.8559338Z 
2022-11-23T01:30:19.8559342Z 
2022-11-23T01:30:19.8559416Z if __name__ == "__main__":
2022-11-23T01:30:19.8559517Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8559639Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8559831Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8559936Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.8559941Z 
2022-11-23T01:30:19.8560007Z ok (1.456s)
2022-11-23T01:30:19.8560325Z   test_horizonal_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8560645Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8560862Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8561101Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8561377Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8561692Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8562034Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8562388Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8562760Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d198f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688> 
2022-11-23T01:30:19.8562850Z  689           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8562939Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8563011Z               4 BINARY_ADD
2022-11-23T01:30:19.8563097Z               6 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8563170Z               8 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8563245Z              10 BINARY_SUBTRACT
2022-11-23T01:30:19.8563328Z              12 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8563414Z              14 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8563527Z              16 BINARY_MULTIPLY
2022-11-23T01:30:19.8563613Z              18 BUILD_TUPLE              3
2022-11-23T01:30:19.8563688Z              20 RETURN_VALUE
2022-11-23T01:30:19.8563737Z  
2022-11-23T01:30:19.8563742Z 
2022-11-23T01:30:19.8564052Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:689
2022-11-23T01:30:19.8564260Z [2022-11-23 01:24:36,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8564496Z [2022-11-23 01:24:36,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:19.8564769Z [2022-11-23 01:24:36,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8565002Z [2022-11-23 01:24:36,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:19.8565265Z [2022-11-23 01:24:36,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8565572Z [2022-11-23 01:24:36,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8565834Z [2022-11-23 01:24:36,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8566111Z [2022-11-23 01:24:36,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8566444Z [2022-11-23 01:24:36,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8566733Z [2022-11-23 01:24:36,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8566982Z [2022-11-23 01:24:36,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8567355Z [2022-11-23 01:24:36,020] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d198f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 688>
2022-11-23T01:30:19.8567597Z [2022-11-23 01:24:36,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8567828Z [2022-11-23 01:24:36,020] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8568080Z [2022-11-23 01:24:36,021] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8568329Z [2022-11-23 01:24:36,025] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8568514Z [2022-11-23 01:24:36,025] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8568635Z  __compiled_fn_189 <eval_with_key>.1598 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8568727Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8568810Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8568934Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8569114Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.8569289Z call_function, sub, <built-in function sub>, (ex_0_, ex_2_), {}
2022-11-23T01:30:19.8569462Z call_function, mul, <built-in function mul>, (ex_1_, ex_2_), {}
2022-11-23T01:30:19.8569556Z output, output, output, ((add, sub, mul),), {}
2022-11-23T01:30:19.8569571Z 
2022-11-23T01:30:19.8569882Z [2022-11-23 01:24:36,025] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8569976Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8570065Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8570149Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8570267Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8570351Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8570440Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8570502Z              12 RETURN_VALUE
2022-11-23T01:30:19.8570507Z 
2022-11-23T01:30:19.8570568Z  
2022-11-23T01:30:19.8570889Z [2022-11-23 01:24:36,025] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8570997Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_189)
2022-11-23T01:30:19.8571086Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8571174Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8571251Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8571337Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8571410Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8571488Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8571573Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8571657Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8571732Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8571818Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8571919Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8572007Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8572093Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8572168Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8572266Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8572351Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8572422Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.8572519Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8572593Z              38 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8572668Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.8572754Z              42 BUILD_TUPLE              3
2022-11-23T01:30:19.8572828Z              44 RETURN_VALUE
2022-11-23T01:30:19.8572835Z 
2022-11-23T01:30:19.8572893Z  
2022-11-23T01:30:19.8573073Z [2022-11-23 01:24:36,026] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8573140Z  - 
2022-11-23T01:30:19.8573246Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8573308Z             {
2022-11-23T01:30:19.8573446Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8573633Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8573750Z                 'obj_weakref': None
2022-11-23T01:30:19.8573973Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8574036Z             }
2022-11-23T01:30:19.8574087Z             
2022-11-23T01:30:19.8574153Z  - 
2022-11-23T01:30:19.8574277Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8574339Z             {
2022-11-23T01:30:19.8574480Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8574617Z                 'code': None,
2022-11-23T01:30:19.8574827Z                 'obj_weakref': <weakref at 0x7ff59c061c10; to 'Tensor' at 0x7ff59c18ff60>
2022-11-23T01:30:19.8575067Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8575129Z             }
2022-11-23T01:30:19.8575190Z             
2022-11-23T01:30:19.8575258Z  - 
2022-11-23T01:30:19.8575380Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8575441Z             {
2022-11-23T01:30:19.8575584Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8575677Z                 'code': None,
2022-11-23T01:30:19.8575889Z                 'obj_weakref': <weakref at 0x7ff59c061df0; to 'Tensor' at 0x7ff59c089210>
2022-11-23T01:30:19.8576139Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8576231Z             }
2022-11-23T01:30:19.8576292Z             
2022-11-23T01:30:19.8576362Z  - 
2022-11-23T01:30:19.8576657Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8576739Z             {
2022-11-23T01:30:19.8576895Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8577002Z                 'code': None,
2022-11-23T01:30:19.8577211Z                 'obj_weakref': <weakref at 0x7ff59c0619e0; to 'Tensor' at 0x7ff58f91fab0>
2022-11-23T01:30:19.8577461Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8577524Z             }
2022-11-23T01:30:19.8577586Z             
2022-11-23T01:30:19.8577642Z  - 
2022-11-23T01:30:19.8577773Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8577836Z             {
2022-11-23T01:30:19.8577970Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8578139Z                 'code': ['___check_obj_id(model, 140693087086640)'],
2022-11-23T01:30:19.8578257Z                 'obj_weakref': None
2022-11-23T01:30:19.8578490Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8578542Z             }
2022-11-23T01:30:19.8578605Z             
2022-11-23T01:30:19.8578672Z  - 
2022-11-23T01:30:19.8578791Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8578853Z             {
2022-11-23T01:30:19.8578990Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8579206Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8579310Z                 'obj_weakref': None
2022-11-23T01:30:19.8579526Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8579594Z             }
2022-11-23T01:30:19.8579655Z             
2022-11-23T01:30:19.8579916Z [2022-11-23 01:24:36,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 188
2022-11-23T01:30:19.8580288Z [2022-11-23 01:24:37,486] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oj/cojix3qfkhpg5glpvzhqwvixwgr3gojdmk47n7i3oljo4m7e7xb5.py
2022-11-23T01:30:19.8580551Z [2022-11-23 01:24:37,486] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 188
2022-11-23T01:30:19.8580558Z 
2022-11-23T01:30:19.8580648Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8580703Z import torch
2022-11-23T01:30:19.8580773Z import random
2022-11-23T01:30:19.8580887Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8581005Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8581010Z 
2022-11-23T01:30:19.8581086Z aten = torch.ops.aten
2022-11-23T01:30:19.8581219Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8581308Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8581316Z 
2022-11-23T01:30:19.8581320Z 
2022-11-23T01:30:19.8581451Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8581710Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8581833Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8581937Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8582038Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8582137Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8582232Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.8582328Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.8582388Z {
2022-11-23T01:30:19.8582473Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8582534Z     {
2022-11-23T01:30:19.8582611Z         #pragma omp for 
2022-11-23T01:30:19.8582693Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:19.8582789Z         {
2022-11-23T01:30:19.8582929Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8583062Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.8583135Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8583223Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8583285Z         }
2022-11-23T01:30:19.8583379Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8583463Z         for(long i0=2048; i0<2048; i0+=1)
2022-11-23T01:30:19.8583526Z         {
2022-11-23T01:30:19.8583608Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8583676Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.8583762Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8583842Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.8583904Z         }
2022-11-23T01:30:19.8583978Z         #pragma omp for 
2022-11-23T01:30:19.8584058Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.8584109Z         {
2022-11-23T01:30:19.8584188Z             #pragma GCC ivdep
2022-11-23T01:30:19.8584270Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:30:19.8584333Z             {
2022-11-23T01:30:19.8584423Z                 for(long i2=0; i2<2; i2+=1)
2022-11-23T01:30:19.8584487Z                 {
2022-11-23T01:30:19.8584632Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T01:30:19.8584755Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:30:19.8584888Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T01:30:19.8585025Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.8585115Z                     auto tmp4 = tmp3 * tmp1;
2022-11-23T01:30:19.8585224Z                     tmp2.store(out_ptr1 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T01:30:19.8585336Z                     tmp4.store(out_ptr2 + (8*i2) + (16*i1) + (256*i0));
2022-11-23T01:30:19.8585402Z                 }
2022-11-23T01:30:19.8585497Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.8585575Z                 for(long i2=16; i2<16; i2+=1)
2022-11-23T01:30:19.8585640Z                 {
2022-11-23T01:30:19.8585743Z                     auto tmp0 = in_ptr0[i2 + (16*i1) + (256*i0)];
2022-11-23T01:30:19.8585832Z                     auto tmp1 = in_ptr2[i1];
2022-11-23T01:30:19.8585934Z                     auto tmp3 = in_ptr1[i2 + (16*i1) + (256*i0)];
2022-11-23T01:30:19.8586067Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.8586156Z                     auto tmp4 = tmp3 * tmp1;
2022-11-23T01:30:19.8586255Z                     out_ptr1[i2 + (16*i1) + (256*i0)] = tmp2;
2022-11-23T01:30:19.8586341Z                     out_ptr2[i2 + (16*i1) + (256*i0)] = tmp4;
2022-11-23T01:30:19.8586403Z                 }
2022-11-23T01:30:19.8586465Z             }
2022-11-23T01:30:19.8586527Z         }
2022-11-23T01:30:19.8586592Z     }
2022-11-23T01:30:19.8586652Z }
2022-11-23T01:30:19.8586719Z ''')
2022-11-23T01:30:19.8586737Z 
2022-11-23T01:30:19.8586743Z 
2022-11-23T01:30:19.8586819Z async_compile.wait(globals())
2022-11-23T01:30:19.8586919Z del async_compile
2022-11-23T01:30:19.8586925Z 
2022-11-23T01:30:19.8586994Z def call(args):
2022-11-23T01:30:19.8587074Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8587142Z     args.clear()
2022-11-23T01:30:19.8587350Z     buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8587553Z     buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8587745Z     buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8587979Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.8588045Z     del arg0_1
2022-11-23T01:30:19.8588138Z     del arg1_1
2022-11-23T01:30:19.8588202Z     del arg2_1
2022-11-23T01:30:19.8588281Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.8588286Z 
2022-11-23T01:30:19.8588290Z 
2022-11-23T01:30:19.8588371Z if __name__ == "__main__":
2022-11-23T01:30:19.8588487Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8588597Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8588801Z     arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8589007Z     arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8589208Z     arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8589327Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8589332Z 
2022-11-23T01:30:19.8589399Z ok (1.477s)
2022-11-23T01:30:19.8589718Z   test_horizonal_fusion2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:37,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8590037Z [2022-11-23 01:24:37,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8590250Z [2022-11-23 01:24:37,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8590491Z [2022-11-23 01:24:37,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8590767Z [2022-11-23 01:24:37,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8591085Z [2022-11-23 01:24:37,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8591428Z [2022-11-23 01:24:37,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8591756Z [2022-11-23 01:24:37,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8592124Z [2022-11-23 01:24:37,495] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1990b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696> 
2022-11-23T01:30:19.8592217Z  697           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8592308Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8592380Z               4 BINARY_ADD
2022-11-23T01:30:19.8592456Z               6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8592541Z               8 LOAD_CONST               2 (2)
2022-11-23T01:30:19.8592611Z              10 BINARY_ADD
2022-11-23T01:30:19.8592697Z              12 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8592779Z              14 LOAD_CONST               3 (3)
2022-11-23T01:30:19.8592851Z              16 BINARY_ADD
2022-11-23T01:30:19.8592940Z              18 BUILD_TUPLE              3
2022-11-23T01:30:19.8593004Z              20 RETURN_VALUE
2022-11-23T01:30:19.8593065Z  
2022-11-23T01:30:19.8593099Z 
2022-11-23T01:30:19.8593416Z [2022-11-23 01:24:37,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:697
2022-11-23T01:30:19.8593623Z [2022-11-23 01:24:37,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8593934Z [2022-11-23 01:24:37,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.8594216Z [2022-11-23 01:24:37,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8594452Z [2022-11-23 01:24:37,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:19.8594716Z [2022-11-23 01:24:37,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8595059Z [2022-11-23 01:24:37,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8595310Z [2022-11-23 01:24:37,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8595599Z [2022-11-23 01:24:37,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8595931Z [2022-11-23 01:24:37,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8596221Z [2022-11-23 01:24:37,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8596462Z [2022-11-23 01:24:37,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8596839Z [2022-11-23 01:24:37,500] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1990b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 696>
2022-11-23T01:30:19.8597079Z [2022-11-23 01:24:37,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8597310Z [2022-11-23 01:24:37,500] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8597560Z [2022-11-23 01:24:37,502] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8597809Z [2022-11-23 01:24:37,508] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8597983Z [2022-11-23 01:24:37,508] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8598115Z  __compiled_fn_190 <eval_with_key>.1604 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8598207Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8598295Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8598378Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8598551Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.8598722Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:30:19.8598893Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:30:19.8598987Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:30:19.8598994Z 
2022-11-23T01:30:19.8599323Z [2022-11-23 01:24:37,509] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8599414Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8599502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8599587Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8599678Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8599760Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8599846Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8599942Z              12 RETURN_VALUE
2022-11-23T01:30:19.8599949Z 
2022-11-23T01:30:19.8600008Z  
2022-11-23T01:30:19.8600328Z [2022-11-23 01:24:37,509] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8600433Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_190)
2022-11-23T01:30:19.8600522Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8600608Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8600685Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8600761Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8600847Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8600921Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8601036Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8601122Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8601198Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8601283Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8601373Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8601472Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8601559Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8601635Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8601734Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8601819Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8601892Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.8601990Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8602065Z              38 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8602138Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.8602225Z              42 BUILD_TUPLE              3
2022-11-23T01:30:19.8602298Z              44 RETURN_VALUE
2022-11-23T01:30:19.8602303Z 
2022-11-23T01:30:19.8602362Z  
2022-11-23T01:30:19.8602545Z [2022-11-23 01:24:37,510] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8602612Z  - 
2022-11-23T01:30:19.8602718Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8602779Z             {
2022-11-23T01:30:19.8602916Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8603102Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8603219Z                 'obj_weakref': None
2022-11-23T01:30:19.8603443Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8603504Z             }
2022-11-23T01:30:19.8603555Z             
2022-11-23T01:30:19.8603625Z  - 
2022-11-23T01:30:19.8603745Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8603810Z             {
2022-11-23T01:30:19.8603953Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8604059Z                 'code': None,
2022-11-23T01:30:19.8604275Z                 'obj_weakref': <weakref at 0x7ff58ff8bce0; to 'Tensor' at 0x7ff58fc16a70>
2022-11-23T01:30:19.8604515Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8604578Z             }
2022-11-23T01:30:19.8604639Z             
2022-11-23T01:30:19.8604707Z  - 
2022-11-23T01:30:19.8604828Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8604888Z             {
2022-11-23T01:30:19.8605029Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8605123Z                 'code': None,
2022-11-23T01:30:19.8605333Z                 'obj_weakref': <weakref at 0x7ff59c0d1fd0; to 'Tensor' at 0x7ff59c063ce0>
2022-11-23T01:30:19.8605585Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8605649Z             }
2022-11-23T01:30:19.8605711Z             
2022-11-23T01:30:19.8605780Z  - 
2022-11-23T01:30:19.8605941Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8605992Z             {
2022-11-23T01:30:19.8606131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8606235Z                 'code': None,
2022-11-23T01:30:19.8606442Z                 'obj_weakref': <weakref at 0x7ff59c0d29d0; to 'Tensor' at 0x7ff59c060770>
2022-11-23T01:30:19.8606695Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8606756Z             }
2022-11-23T01:30:19.8606819Z             
2022-11-23T01:30:19.8606875Z  - 
2022-11-23T01:30:19.8607002Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8607066Z             {
2022-11-23T01:30:19.8607196Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8607363Z                 'code': ['___check_obj_id(model, 140692652653392)'],
2022-11-23T01:30:19.8607544Z                 'obj_weakref': None
2022-11-23T01:30:19.8607770Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8607821Z             }
2022-11-23T01:30:19.8607882Z             
2022-11-23T01:30:19.8607950Z  - 
2022-11-23T01:30:19.8608070Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8608135Z             {
2022-11-23T01:30:19.8608271Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8608485Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8608590Z                 'obj_weakref': None
2022-11-23T01:30:19.8608808Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8608870Z             }
2022-11-23T01:30:19.8608935Z             
2022-11-23T01:30:19.8609194Z [2022-11-23 01:24:37,521] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 189
2022-11-23T01:30:19.8609558Z [2022-11-23 01:24:38,971] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xx/cxx7t4tikb3226ob7qgve4avbpb4nv7qv7e7qdqihg5l6bigsdkj.py
2022-11-23T01:30:19.8609820Z [2022-11-23 01:24:38,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 189
2022-11-23T01:30:19.8609825Z 
2022-11-23T01:30:19.8609918Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8609975Z import torch
2022-11-23T01:30:19.8610042Z import random
2022-11-23T01:30:19.8610156Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8610276Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8610281Z 
2022-11-23T01:30:19.8610357Z aten = torch.ops.aten
2022-11-23T01:30:19.8610490Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8610579Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8610584Z 
2022-11-23T01:30:19.8610590Z 
2022-11-23T01:30:19.8610721Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8610912Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8611031Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8611133Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8611234Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8611332Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8611426Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.8611519Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.8611566Z {
2022-11-23T01:30:19.8611661Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8611723Z     {
2022-11-23T01:30:19.8611799Z         #pragma omp for 
2022-11-23T01:30:19.8611880Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:19.8611941Z         {
2022-11-23T01:30:19.8612079Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8612200Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8612325Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8612417Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8612476Z         }
2022-11-23T01:30:19.8612570Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8612656Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:30:19.8612716Z         {
2022-11-23T01:30:19.8612787Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8612883Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8612965Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8613044Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.8613109Z         }
2022-11-23T01:30:19.8613184Z         #pragma omp for 
2022-11-23T01:30:19.8613265Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.8613313Z         {
2022-11-23T01:30:19.8613475Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.8613604Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.8613691Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8613777Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8613837Z         }
2022-11-23T01:30:19.8613928Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8613996Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:30:19.8614056Z         {
2022-11-23T01:30:19.8614141Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:19.8614235Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:19.8614319Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8614395Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.8614455Z         }
2022-11-23T01:30:19.8614517Z         #pragma omp for 
2022-11-23T01:30:19.8614597Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.8614657Z         {
2022-11-23T01:30:19.8614784Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:30:19.8614913Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:19.8614996Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8615084Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.8615134Z         }
2022-11-23T01:30:19.8615234Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8615315Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:30:19.8615376Z         {
2022-11-23T01:30:19.8615457Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:30:19.8615555Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:30:19.8615636Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8615702Z             out_ptr2[i0] = tmp2;
2022-11-23T01:30:19.8615762Z         }
2022-11-23T01:30:19.8615820Z     }
2022-11-23T01:30:19.8615878Z }
2022-11-23T01:30:19.8615954Z ''')
2022-11-23T01:30:19.8615959Z 
2022-11-23T01:30:19.8615965Z 
2022-11-23T01:30:19.8616052Z async_compile.wait(globals())
2022-11-23T01:30:19.8616124Z del async_compile
2022-11-23T01:30:19.8616129Z 
2022-11-23T01:30:19.8616199Z def call(args):
2022-11-23T01:30:19.8616271Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8616342Z     args.clear()
2022-11-23T01:30:19.8616684Z     buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8616881Z     buf1 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8617076Z     buf2 = empty_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8617317Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.8617388Z     del arg0_1
2022-11-23T01:30:19.8617441Z     del arg1_1
2022-11-23T01:30:19.8617506Z     del arg2_1
2022-11-23T01:30:19.8617590Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.8617598Z 
2022-11-23T01:30:19.8617602Z 
2022-11-23T01:30:19.8617678Z if __name__ == "__main__":
2022-11-23T01:30:19.8617794Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8617964Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8618171Z     arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8618368Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8618552Z     arg2_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8618676Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8618680Z 
2022-11-23T01:30:19.8618747Z ok (1.485s)
2022-11-23T01:30:19.8619052Z   test_index1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:38,978] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8619367Z [2022-11-23 01:24:38,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8619622Z [2022-11-23 01:24:38,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8619870Z [2022-11-23 01:24:38,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8620145Z [2022-11-23 01:24:38,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8620464Z [2022-11-23 01:24:38,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8620795Z [2022-11-23 01:24:38,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8621114Z [2022-11-23 01:24:38,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8621494Z [2022-11-23 01:24:38,979] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f7730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:30:19.8621587Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8621676Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:30:19.8621766Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8621853Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8621938Z                8 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8622025Z               10 BUILD_LIST               2
2022-11-23T01:30:19.8622099Z               12 CALL_METHOD              2
2022-11-23T01:30:19.8622175Z               14 RETURN_VALUE
2022-11-23T01:30:19.8622235Z  
2022-11-23T01:30:19.8622240Z 
2022-11-23T01:30:19.8622551Z [2022-11-23 01:24:38,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T01:30:19.8622770Z [2022-11-23 01:24:38,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.8623074Z [2022-11-23 01:24:38,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8623322Z [2022-11-23 01:24:38,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:30:19.8623599Z [2022-11-23 01:24:38,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:30:19.8623902Z [2022-11-23 01:24:38,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8624222Z [2022-11-23 01:24:38,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8624559Z [2022-11-23 01:24:38,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8624803Z [2022-11-23 01:24:38,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8625178Z [2022-11-23 01:24:38,986] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f7730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T01:30:19.8625420Z [2022-11-23 01:24:38,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8625651Z [2022-11-23 01:24:38,986] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8625901Z [2022-11-23 01:24:38,987] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8626176Z [2022-11-23 01:24:38,990] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8626362Z [2022-11-23 01:24:38,990] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8626483Z  __compiled_fn_191 <eval_with_key>.1610 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8626570Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8626654Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8626736Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8626853Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:30:19.8626948Z output, output, output, ((index,),), {}
2022-11-23T01:30:19.8626953Z 
2022-11-23T01:30:19.8627277Z [2022-11-23 01:24:38,991] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8627369Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8627446Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8627531Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8627623Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8627708Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8627794Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8627868Z              12 RETURN_VALUE
2022-11-23T01:30:19.8627873Z 
2022-11-23T01:30:19.8627930Z  
2022-11-23T01:30:19.8628249Z [2022-11-23 01:24:38,991] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8628345Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_191)
2022-11-23T01:30:19.8628432Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8628521Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8628595Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8628680Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8628767Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8628840Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8628912Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8628999Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8629072Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8629156Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8629243Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8629319Z              24 RETURN_VALUE
2022-11-23T01:30:19.8629324Z 
2022-11-23T01:30:19.8629382Z  
2022-11-23T01:30:19.8629550Z [2022-11-23 01:24:38,992] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8629618Z  - 
2022-11-23T01:30:19.8629734Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8629800Z             {
2022-11-23T01:30:19.8629939Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8630123Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8630244Z                 'obj_weakref': None
2022-11-23T01:30:19.8630459Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8630551Z             }
2022-11-23T01:30:19.8630614Z             
2022-11-23T01:30:19.8630683Z  - 
2022-11-23T01:30:19.8630806Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8630868Z             {
2022-11-23T01:30:19.8631007Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8631102Z                 'code': None,
2022-11-23T01:30:19.8631313Z                 'obj_weakref': <weakref at 0x7ff58f905350; to 'Tensor' at 0x7ff58fc14bd0>
2022-11-23T01:30:19.8631566Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8631631Z             }
2022-11-23T01:30:19.8631693Z             
2022-11-23T01:30:19.8631760Z  - 
2022-11-23T01:30:19.8631881Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8631965Z             {
2022-11-23T01:30:19.8632104Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8632210Z                 'code': None,
2022-11-23T01:30:19.8632423Z                 'obj_weakref': <weakref at 0x7ff58f905cb0; to 'Tensor' at 0x7ff58fe989a0>
2022-11-23T01:30:19.8632673Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8632735Z             }
2022-11-23T01:30:19.8632794Z             
2022-11-23T01:30:19.8632849Z  - 
2022-11-23T01:30:19.8632970Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8633031Z             {
2022-11-23T01:30:19.8633170Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8633274Z                 'code': None,
2022-11-23T01:30:19.8633480Z                 'obj_weakref': <weakref at 0x7ff59c060f40; to 'Tensor' at 0x7ff59c18da80>
2022-11-23T01:30:19.8633732Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8633878Z             }
2022-11-23T01:30:19.8633933Z             
2022-11-23T01:30:19.8634004Z  - 
2022-11-23T01:30:19.8634137Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8634203Z             {
2022-11-23T01:30:19.8634338Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8634505Z                 'code': ['___check_obj_id(model, 140693155902608)'],
2022-11-23T01:30:19.8634611Z                 'obj_weakref': None
2022-11-23T01:30:19.8634839Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8634901Z             }
2022-11-23T01:30:19.8634964Z             
2022-11-23T01:30:19.8635031Z  - 
2022-11-23T01:30:19.8635152Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8635215Z             {
2022-11-23T01:30:19.8635338Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8635556Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8635679Z                 'obj_weakref': None
2022-11-23T01:30:19.8635898Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8635962Z             }
2022-11-23T01:30:19.8636023Z             
2022-11-23T01:30:19.8636089Z  - 
2022-11-23T01:30:19.8636207Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8636269Z             {
2022-11-23T01:30:19.8636389Z                 'guard_types': None,
2022-11-23T01:30:19.8636493Z                 'code': None,
2022-11-23T01:30:19.8636607Z                 'obj_weakref': None
2022-11-23T01:30:19.8636725Z                 'guarded_class': None
2022-11-23T01:30:19.8636787Z             }
2022-11-23T01:30:19.8636836Z             
2022-11-23T01:30:19.8637091Z [2022-11-23 01:24:38,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 190
2022-11-23T01:30:19.8637457Z [2022-11-23 01:24:40,403] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3g/c3gzjahkpcij6cby2fzljxdrxo353cayj23in25e7wollj5fpoum.py
2022-11-23T01:30:19.8637763Z [2022-11-23 01:24:40,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 190
2022-11-23T01:30:19.8637997Z [2022-11-23 01:24:40,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8638307Z [2022-11-23 01:24:40,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8638524Z [2022-11-23 01:24:40,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8638772Z [2022-11-23 01:24:40,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8639042Z [2022-11-23 01:24:40,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8639348Z [2022-11-23 01:24:40,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8639726Z [2022-11-23 01:24:40,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8640045Z [2022-11-23 01:24:40,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8640417Z [2022-11-23 01:24:40,410] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f7730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:30:19.8640511Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8640603Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:30:19.8640693Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8640781Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8640869Z                8 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8640944Z               10 BUILD_LIST               2
2022-11-23T01:30:19.8641033Z               12 CALL_METHOD              2
2022-11-23T01:30:19.8641108Z               14 RETURN_VALUE
2022-11-23T01:30:19.8641167Z  
2022-11-23T01:30:19.8641173Z 
2022-11-23T01:30:19.8641484Z [2022-11-23 01:24:40,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2813
2022-11-23T01:30:19.8641700Z [2022-11-23 01:24:40,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.8642004Z [2022-11-23 01:24:40,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8642251Z [2022-11-23 01:24:40,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:30:19.8642527Z [2022-11-23 01:24:40,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:30:19.8642824Z [2022-11-23 01:24:40,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8643162Z [2022-11-23 01:24:40,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8643467Z [2022-11-23 01:24:40,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8643708Z [2022-11-23 01:24:40,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8644081Z [2022-11-23 01:24:40,420] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f7730, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2812>
2022-11-23T01:30:19.8644325Z [2022-11-23 01:24:40,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8644583Z [2022-11-23 01:24:40,420] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8644834Z [2022-11-23 01:24:40,422] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8645080Z [2022-11-23 01:24:40,426] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8645266Z [2022-11-23 01:24:40,426] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8645388Z  __compiled_fn_192 <eval_with_key>.1616 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8645475Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8645558Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8645641Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8645759Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:30:19.8645884Z output, output, output, ((index,),), {}
2022-11-23T01:30:19.8645889Z 
2022-11-23T01:30:19.8646215Z [2022-11-23 01:24:40,427] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8646307Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8646385Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8646468Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8646558Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8646641Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8646727Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8646802Z              12 RETURN_VALUE
2022-11-23T01:30:19.8646807Z 
2022-11-23T01:30:19.8646867Z  
2022-11-23T01:30:19.8647172Z [2022-11-23 01:24:40,427] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8647281Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_192)
2022-11-23T01:30:19.8647370Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8647459Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8647534Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8647623Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8647709Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8647770Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8647857Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8647940Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8648016Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8648102Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8648192Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8648264Z              24 RETURN_VALUE
2022-11-23T01:30:19.8648268Z 
2022-11-23T01:30:19.8648327Z  
2022-11-23T01:30:19.8648496Z [2022-11-23 01:24:40,428] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8648563Z  - 
2022-11-23T01:30:19.8648679Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8648742Z             {
2022-11-23T01:30:19.8648881Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8649068Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8649184Z                 'obj_weakref': None
2022-11-23T01:30:19.8649394Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8649457Z             }
2022-11-23T01:30:19.8649519Z             
2022-11-23T01:30:19.8649586Z  - 
2022-11-23T01:30:19.8649707Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8649768Z             {
2022-11-23T01:30:19.8649896Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8650001Z                 'code': None,
2022-11-23T01:30:19.8650215Z                 'obj_weakref': <weakref at 0x7ff58fe58a90; to 'Tensor' at 0x7ff58f904db0>
2022-11-23T01:30:19.8650498Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8650563Z             }
2022-11-23T01:30:19.8650628Z             
2022-11-23T01:30:19.8650697Z  - 
2022-11-23T01:30:19.8650820Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8650870Z             {
2022-11-23T01:30:19.8651007Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8651111Z                 'code': None,
2022-11-23T01:30:19.8651318Z                 'obj_weakref': <weakref at 0x7ff58ff1ed40; to 'Tensor' at 0x7ff5a819e980>
2022-11-23T01:30:19.8651565Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8651630Z             }
2022-11-23T01:30:19.8651693Z             
2022-11-23T01:30:19.8651748Z  - 
2022-11-23T01:30:19.8651868Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8651959Z             {
2022-11-23T01:30:19.8652099Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8652203Z                 'code': None,
2022-11-23T01:30:19.8652418Z                 'obj_weakref': <weakref at 0x7ff58ff1ede0; to 'Tensor' at 0x7ff59c061d50>
2022-11-23T01:30:19.8652667Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8652718Z             }
2022-11-23T01:30:19.8652778Z             
2022-11-23T01:30:19.8652847Z  - 
2022-11-23T01:30:19.8652975Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8653036Z             {
2022-11-23T01:30:19.8653166Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8653331Z                 'code': ['___check_obj_id(model, 140693155902608)'],
2022-11-23T01:30:19.8653436Z                 'obj_weakref': None
2022-11-23T01:30:19.8653663Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8653727Z             }
2022-11-23T01:30:19.8653790Z             
2022-11-23T01:30:19.8653858Z  - 
2022-11-23T01:30:19.8653979Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8654036Z             {
2022-11-23T01:30:19.8654176Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8654391Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8654507Z                 'obj_weakref': None
2022-11-23T01:30:19.8654713Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8654775Z             }
2022-11-23T01:30:19.8654836Z             
2022-11-23T01:30:19.8654903Z  - 
2022-11-23T01:30:19.8655032Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8655092Z             {
2022-11-23T01:30:19.8655198Z                 'guard_types': None,
2022-11-23T01:30:19.8655301Z                 'code': None,
2022-11-23T01:30:19.8655421Z                 'obj_weakref': None
2022-11-23T01:30:19.8655540Z                 'guarded_class': None
2022-11-23T01:30:19.8655602Z             }
2022-11-23T01:30:19.8655662Z             
2022-11-23T01:30:19.8655923Z [2022-11-23 01:24:40,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 191
2022-11-23T01:30:19.8656288Z [2022-11-23 01:24:41,865] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ji/cjim2zmdvumi5jbovwb3pnrsa3233yy4b6ddhd5ydetlxjqpj33u.py
2022-11-23T01:30:19.8656742Z [2022-11-23 01:24:41,865] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 191
2022-11-23T01:30:19.8656763Z 
2022-11-23T01:30:19.8656866Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8656972Z import torch
2022-11-23T01:30:19.8657042Z import random
2022-11-23T01:30:19.8657156Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8657274Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8657282Z 
2022-11-23T01:30:19.8657360Z aten = torch.ops.aten
2022-11-23T01:30:19.8657492Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8657652Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8657658Z 
2022-11-23T01:30:19.8657662Z 
2022-11-23T01:30:19.8657808Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8658016Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8658136Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.8658241Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.8658347Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8658449Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8658509Z {
2022-11-23T01:30:19.8658595Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8658658Z     {
2022-11-23T01:30:19.8658736Z         #pragma omp for 
2022-11-23T01:30:19.8658859Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.8658920Z         {
2022-11-23T01:30:19.8659001Z             #pragma GCC ivdep
2022-11-23T01:30:19.8659078Z             for(long i1=0; i1<12; i1+=1)
2022-11-23T01:30:19.8659142Z             {
2022-11-23T01:30:19.8659208Z                 {
2022-11-23T01:30:19.8659277Z                     {
2022-11-23T01:30:19.8659374Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8659471Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.8659583Z                         auto tmp2 = in_ptr2[i1 + (12*tmp1) + (96*tmp0)];
2022-11-23T01:30:19.8659667Z                         out_ptr0[i1 + (12*i0)] = tmp2;
2022-11-23T01:30:19.8659734Z                     }
2022-11-23T01:30:19.8659800Z                 }
2022-11-23T01:30:19.8659864Z             }
2022-11-23T01:30:19.8659928Z         }
2022-11-23T01:30:19.8659993Z     }
2022-11-23T01:30:19.8660054Z }
2022-11-23T01:30:19.8660122Z ''')
2022-11-23T01:30:19.8660127Z 
2022-11-23T01:30:19.8660135Z 
2022-11-23T01:30:19.8660226Z async_compile.wait(globals())
2022-11-23T01:30:19.8660298Z del async_compile
2022-11-23T01:30:19.8660303Z 
2022-11-23T01:30:19.8660374Z def call(args):
2022-11-23T01:30:19.8660460Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8660531Z     args.clear()
2022-11-23T01:30:19.8660732Z     buf0 = empty_strided((4, 12), (12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8660909Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8660978Z     del arg0_1
2022-11-23T01:30:19.8661047Z     del arg1_1
2022-11-23T01:30:19.8661114Z     del arg2_1
2022-11-23T01:30:19.8661186Z     return (buf0, )
2022-11-23T01:30:19.8661191Z 
2022-11-23T01:30:19.8661195Z 
2022-11-23T01:30:19.8661272Z if __name__ == "__main__":
2022-11-23T01:30:19.8661387Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8661510Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8661707Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8661899Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8662085Z     arg2_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8662207Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8662212Z 
2022-11-23T01:30:19.8662216Z 
2022-11-23T01:30:19.8662311Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8662381Z import torch
2022-11-23T01:30:19.8662453Z import random
2022-11-23T01:30:19.8662568Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8662675Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8662680Z 
2022-11-23T01:30:19.8662758Z aten = torch.ops.aten
2022-11-23T01:30:19.8662893Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8662983Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8662990Z 
2022-11-23T01:30:19.8662994Z 
2022-11-23T01:30:19.8663127Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8663367Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8663483Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.8663584Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.8663676Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8663771Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8663830Z {
2022-11-23T01:30:19.8663924Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8663986Z     {
2022-11-23T01:30:19.8664060Z         #pragma omp for 
2022-11-23T01:30:19.8664139Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.8664190Z         {
2022-11-23T01:30:19.8664266Z             #pragma GCC ivdep
2022-11-23T01:30:19.8664347Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.8664439Z             {
2022-11-23T01:30:19.8664521Z                 #pragma GCC ivdep
2022-11-23T01:30:19.8664608Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:30:19.8664673Z                 {
2022-11-23T01:30:19.8664727Z                     {
2022-11-23T01:30:19.8664793Z                         {
2022-11-23T01:30:19.8664888Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:19.8664979Z                             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.8665091Z                             auto tmp2 = in_ptr2[i2 + (12*tmp1) + (96*tmp0)];
2022-11-23T01:30:19.8665193Z                             out_ptr0[i2 + (12*i1) + (48*i0)] = tmp2;
2022-11-23T01:30:19.8665259Z                         }
2022-11-23T01:30:19.8665312Z                     }
2022-11-23T01:30:19.8665374Z                 }
2022-11-23T01:30:19.8665436Z             }
2022-11-23T01:30:19.8665497Z         }
2022-11-23T01:30:19.8665558Z     }
2022-11-23T01:30:19.8665615Z }
2022-11-23T01:30:19.8665682Z ''')
2022-11-23T01:30:19.8665687Z 
2022-11-23T01:30:19.8665701Z 
2022-11-23T01:30:19.8665778Z async_compile.wait(globals())
2022-11-23T01:30:19.8665848Z del async_compile
2022-11-23T01:30:19.8665853Z 
2022-11-23T01:30:19.8665924Z def call(args):
2022-11-23T01:30:19.8666002Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8666072Z     args.clear()
2022-11-23T01:30:19.8666277Z     buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8666463Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8666518Z     del arg0_1
2022-11-23T01:30:19.8666583Z     del arg1_1
2022-11-23T01:30:19.8666647Z     del arg2_1
2022-11-23T01:30:19.8666717Z     return (buf0, )
2022-11-23T01:30:19.8666721Z 
2022-11-23T01:30:19.8666725Z 
2022-11-23T01:30:19.8666798Z if __name__ == "__main__":
2022-11-23T01:30:19.8666910Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8667032Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8667224Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8667415Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8667603Z     arg2_1 = rand_strided((4, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8667723Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8667728Z 
2022-11-23T01:30:19.8667793Z ok (2.893s)
2022-11-23T01:30:19.8668099Z   test_index2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8668411Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8668628Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8668883Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8669181Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8669499Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8669842Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8670161Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8670536Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f7890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833> 
2022-11-23T01:30:19.8670659Z  2835           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8670754Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:30:19.8670841Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8670927Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8671002Z                8 BUILD_LIST               1
2022-11-23T01:30:19.8671087Z               10 CALL_METHOD              2
2022-11-23T01:30:19.8671092Z 
2022-11-23T01:30:19.8671183Z 2836          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.8671273Z               14 LOAD_METHOD              1 (index)
2022-11-23T01:30:19.8671358Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8671447Z               18 LOAD_CONST               0 (None)
2022-11-23T01:30:19.8671533Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8671617Z               22 BUILD_LIST               2
2022-11-23T01:30:19.8671692Z               24 CALL_METHOD              2
2022-11-23T01:30:19.8671697Z 
2022-11-23T01:30:19.8671780Z 2834          26 BUILD_TUPLE              2
2022-11-23T01:30:19.8671873Z               28 RETURN_VALUE
2022-11-23T01:30:19.8671957Z  
2022-11-23T01:30:19.8671964Z 
2022-11-23T01:30:19.8672327Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2835
2022-11-23T01:30:19.8672547Z [2022-11-23 01:24:41,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.8672851Z [2022-11-23 01:24:41,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8673099Z [2022-11-23 01:24:41,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:30:19.8673374Z [2022-11-23 01:24:41,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:30:19.8673674Z [2022-11-23 01:24:41,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8674050Z [2022-11-23 01:24:41,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8674366Z [2022-11-23 01:24:41,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2836
2022-11-23T01:30:19.8674609Z [2022-11-23 01:24:41,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.8674941Z [2022-11-23 01:24:41,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8675215Z [2022-11-23 01:24:41,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.index)]
2022-11-23T01:30:19.8675568Z [2022-11-23 01:24:41,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:30:19.8675923Z [2022-11-23 01:24:41,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.8676307Z [2022-11-23 01:24:41,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:30:19.8676640Z [2022-11-23 01:24:41,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8676949Z [2022-11-23 01:24:41,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2834
2022-11-23T01:30:19.8677234Z [2022-11-23 01:24:41,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8677479Z [2022-11-23 01:24:41,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8677857Z [2022-11-23 01:24:41,886] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f7890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2833>
2022-11-23T01:30:19.8678098Z [2022-11-23 01:24:41,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8678328Z [2022-11-23 01:24:41,886] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8678580Z [2022-11-23 01:24:41,887] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8678824Z [2022-11-23 01:24:41,892] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8679016Z [2022-11-23 01:24:41,892] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8679153Z  __compiled_fn_193 <eval_with_key>.1622 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8679230Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8679316Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8679428Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:30:19.8679547Z call_function, index_1, aten.index, (ex_0_, [None, ex_1_]), {}
2022-11-23T01:30:19.8679651Z output, output, output, ((index, index_1),), {}
2022-11-23T01:30:19.8679656Z 
2022-11-23T01:30:19.8679981Z [2022-11-23 01:24:41,893] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8680072Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8680161Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8680236Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8680327Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8680412Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8680499Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8680573Z              12 RETURN_VALUE
2022-11-23T01:30:19.8680577Z 
2022-11-23T01:30:19.8680636Z  
2022-11-23T01:30:19.8680958Z [2022-11-23 01:24:41,893] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8681064Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_193)
2022-11-23T01:30:19.8681140Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8681227Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8681302Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8681387Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8681472Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8681550Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8681634Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.8681753Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8681854Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8681939Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8682013Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.8682112Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8682197Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8682270Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8682343Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.8682415Z              32 RETURN_VALUE
2022-11-23T01:30:19.8682420Z 
2022-11-23T01:30:19.8682479Z  
2022-11-23T01:30:19.8682658Z [2022-11-23 01:24:41,893] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8682726Z  - 
2022-11-23T01:30:19.8682873Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8682935Z             {
2022-11-23T01:30:19.8683062Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8683248Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.8683366Z                 'obj_weakref': None
2022-11-23T01:30:19.8683593Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8683656Z             }
2022-11-23T01:30:19.8683718Z             
2022-11-23T01:30:19.8683784Z  - 
2022-11-23T01:30:19.8683894Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8683955Z             {
2022-11-23T01:30:19.8684097Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8684202Z                 'code': None,
2022-11-23T01:30:19.8684414Z                 'obj_weakref': <weakref at 0x7ff58fcd6e80; to 'Tensor' at 0x7ff59c0d1b20>
2022-11-23T01:30:19.8684665Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8684729Z             }
2022-11-23T01:30:19.8684789Z             
2022-11-23T01:30:19.8684845Z  - 
2022-11-23T01:30:19.8684966Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8685032Z             {
2022-11-23T01:30:19.8685170Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8685274Z                 'code': None,
2022-11-23T01:30:19.8685481Z                 'obj_weakref': <weakref at 0x7ff58fdcab60; to 'Tensor' at 0x7ff6383cfe20>
2022-11-23T01:30:19.8685729Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8685782Z             }
2022-11-23T01:30:19.8685843Z             
2022-11-23T01:30:19.8685910Z  - 
2022-11-23T01:30:19.8686037Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8686100Z             {
2022-11-23T01:30:19.8686230Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8686387Z                 'code': ['___check_obj_id(model, 140692658927600)'],
2022-11-23T01:30:19.8686503Z                 'obj_weakref': None
2022-11-23T01:30:19.8686732Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8686794Z             }
2022-11-23T01:30:19.8686856Z             
2022-11-23T01:30:19.8686922Z  - 
2022-11-23T01:30:19.8687042Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8687092Z             {
2022-11-23T01:30:19.8687222Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8687434Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8687550Z                 'obj_weakref': None
2022-11-23T01:30:19.8687766Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8687828Z             }
2022-11-23T01:30:19.8687888Z             
2022-11-23T01:30:19.8687945Z  - 
2022-11-23T01:30:19.8688072Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.8688133Z             {
2022-11-23T01:30:19.8688250Z                 'guard_types': None,
2022-11-23T01:30:19.8688383Z                 'code': None,
2022-11-23T01:30:19.8688499Z                 'obj_weakref': None
2022-11-23T01:30:19.8688616Z                 'guarded_class': None
2022-11-23T01:30:19.8688668Z             }
2022-11-23T01:30:19.8688728Z             
2022-11-23T01:30:19.8688985Z [2022-11-23 01:24:41,899] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 192
2022-11-23T01:30:19.8689352Z [2022-11-23 01:24:43,371] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfentos47at3sl3md3k3h5gyp3immyfcrb4kd3pcdomddzcxzg4o.py
2022-11-23T01:30:19.8689614Z [2022-11-23 01:24:43,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 192
2022-11-23T01:30:19.8689619Z 
2022-11-23T01:30:19.8689710Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8689807Z import torch
2022-11-23T01:30:19.8689875Z import random
2022-11-23T01:30:19.8689976Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8690097Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8690102Z 
2022-11-23T01:30:19.8690178Z aten = torch.ops.aten
2022-11-23T01:30:19.8690310Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8690401Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8690405Z 
2022-11-23T01:30:19.8690409Z 
2022-11-23T01:30:19.8690540Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8690744Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8690859Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.8690951Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8691049Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8691146Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.8691207Z {
2022-11-23T01:30:19.8691303Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8691364Z     {
2022-11-23T01:30:19.8691442Z         #pragma omp for 
2022-11-23T01:30:19.8691511Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.8691572Z         {
2022-11-23T01:30:19.8691649Z             #pragma GCC ivdep
2022-11-23T01:30:19.8691733Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:30:19.8691795Z             {
2022-11-23T01:30:19.8691858Z                 {
2022-11-23T01:30:19.8691923Z                     {
2022-11-23T01:30:19.8692005Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8692106Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:30:19.8692201Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:30:19.8692266Z                     }
2022-11-23T01:30:19.8692330Z                 }
2022-11-23T01:30:19.8692391Z             }
2022-11-23T01:30:19.8692454Z         }
2022-11-23T01:30:19.8692517Z         #pragma omp for 
2022-11-23T01:30:19.8692596Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.8692657Z         {
2022-11-23T01:30:19.8692737Z             #pragma GCC ivdep
2022-11-23T01:30:19.8692816Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.8692877Z             {
2022-11-23T01:30:19.8692945Z                 #pragma GCC ivdep
2022-11-23T01:30:19.8693032Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:30:19.8693095Z                 {
2022-11-23T01:30:19.8693162Z                     {
2022-11-23T01:30:19.8693229Z                         {
2022-11-23T01:30:19.8693321Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:19.8693430Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:30:19.8693522Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:30:19.8693587Z                         }
2022-11-23T01:30:19.8693651Z                     }
2022-11-23T01:30:19.8693716Z                 }
2022-11-23T01:30:19.8693777Z             }
2022-11-23T01:30:19.8693841Z         }
2022-11-23T01:30:19.8693903Z     }
2022-11-23T01:30:19.8693951Z }
2022-11-23T01:30:19.8694069Z ''')
2022-11-23T01:30:19.8694074Z 
2022-11-23T01:30:19.8694079Z 
2022-11-23T01:30:19.8694170Z async_compile.wait(globals())
2022-11-23T01:30:19.8694243Z del async_compile
2022-11-23T01:30:19.8694247Z 
2022-11-23T01:30:19.8694319Z def call(args):
2022-11-23T01:30:19.8694394Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.8694466Z     args.clear()
2022-11-23T01:30:19.8694667Z     buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8694876Z     buf1 = empty_strided((8, 1, 4, 8), (32, 256, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8695067Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.8695138Z     del arg0_1
2022-11-23T01:30:19.8695234Z     del arg1_1
2022-11-23T01:30:19.8695312Z     return (buf0, buf1, )
2022-11-23T01:30:19.8695317Z 
2022-11-23T01:30:19.8695321Z 
2022-11-23T01:30:19.8695398Z if __name__ == "__main__":
2022-11-23T01:30:19.8695515Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8695625Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8695831Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8696022Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8696138Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.8696143Z 
2022-11-23T01:30:19.8696211Z ok (1.506s)
2022-11-23T01:30:19.8696647Z   test_index_put1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:43,696] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8696967Z [2022-11-23 01:24:43,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8697190Z [2022-11-23 01:24:43,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8697449Z [2022-11-23 01:24:43,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8697715Z [2022-11-23 01:24:43,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8698038Z [2022-11-23 01:24:43,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8698386Z [2022-11-23 01:24:43,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8698713Z [2022-11-23 01:24:43,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8699095Z [2022-11-23 01:24:43,697] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e35d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:30:19.8699195Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8699298Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:30:19.8699388Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8699478Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8699553Z                8 BUILD_LIST               1
2022-11-23T01:30:19.8699640Z               10 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8699729Z               12 CALL_METHOD              3
2022-11-23T01:30:19.8699736Z 
2022-11-23T01:30:19.8699830Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8699932Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:30:19.8700026Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8700115Z               20 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8700190Z               22 BINARY_ADD
2022-11-23T01:30:19.8700328Z               24 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8700415Z               26 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8700490Z               28 BINARY_ADD
2022-11-23T01:30:19.8700578Z               30 BUILD_LIST               1
2022-11-23T01:30:19.8700665Z               32 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8700753Z               34 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8700827Z               36 BINARY_ADD
2022-11-23T01:30:19.8700902Z               38 CALL_METHOD              3
2022-11-23T01:30:19.8700989Z               40 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8701061Z               42 BINARY_ADD
2022-11-23T01:30:19.8701066Z 
2022-11-23T01:30:19.8701154Z 3449          44 BUILD_TUPLE              2
2022-11-23T01:30:19.8701231Z               46 RETURN_VALUE
2022-11-23T01:30:19.8701327Z  
2022-11-23T01:30:19.8701332Z 
2022-11-23T01:30:19.8701648Z [2022-11-23 01:24:43,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T01:30:19.8701867Z [2022-11-23 01:24:43,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8702227Z [2022-11-23 01:24:43,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8702556Z [2022-11-23 01:24:43,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8702905Z [2022-11-23 01:24:43,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8703285Z [2022-11-23 01:24:43,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8703663Z [2022-11-23 01:24:43,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8704072Z [2022-11-23 01:24:43,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8704383Z [2022-11-23 01:24:43,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T01:30:19.8704632Z [2022-11-23 01:24:43,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.8705034Z [2022-11-23 01:24:43,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8705389Z [2022-11-23 01:24:43,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8705771Z [2022-11-23 01:24:43,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8706199Z [2022-11-23 01:24:43,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8706580Z [2022-11-23 01:24:43,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8707061Z [2022-11-23 01:24:43,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8707508Z [2022-11-23 01:24:43,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8707916Z [2022-11-23 01:24:43,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8708322Z [2022-11-23 01:24:43,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8708788Z [2022-11-23 01:24:43,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8709268Z [2022-11-23 01:24:43,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8709710Z [2022-11-23 01:24:43,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8709972Z [2022-11-23 01:24:43,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8710283Z [2022-11-23 01:24:43,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8710594Z [2022-11-23 01:24:43,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T01:30:19.8710858Z [2022-11-23 01:24:43,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8711103Z [2022-11-23 01:24:43,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8711476Z [2022-11-23 01:24:43,705] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e35d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T01:30:19.8711718Z [2022-11-23 01:24:43,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8711940Z [2022-11-23 01:24:43,705] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8712191Z [2022-11-23 01:24:43,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8712438Z [2022-11-23 01:24:43,716] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8712624Z [2022-11-23 01:24:43,717] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8712758Z  __compiled_fn_194 <eval_with_key>.1628 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8712848Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8712932Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8713018Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8713264Z call_function, index_put, <built-in method index_put of type object at 0x7ff5d7c59c60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:30:19.8713435Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.8713608Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:19.8713877Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:30:19.8714146Z call_function, index_put_, <built-in method index_put_ of type object at 0x7ff5d7c59c60>, (add, [add_1], add_2), {}
2022-11-23T01:30:19.8714326Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:30:19.8714434Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:30:19.8714440Z 
2022-11-23T01:30:19.8714766Z [2022-11-23 01:24:43,717] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8714860Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8714936Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8715021Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8715148Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8715231Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8715319Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8715396Z              12 RETURN_VALUE
2022-11-23T01:30:19.8715402Z 
2022-11-23T01:30:19.8715461Z  
2022-11-23T01:30:19.8715772Z [2022-11-23 01:24:43,717] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8715880Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_194)
2022-11-23T01:30:19.8715967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8716056Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8716130Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8716215Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8716302Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8716376Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8716451Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8716538Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8716611Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8716699Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8716799Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8716899Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8716984Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8717047Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8717146Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8717232Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8717305Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.8717391Z              36 BUILD_TUPLE              2
2022-11-23T01:30:19.8717463Z              38 RETURN_VALUE
2022-11-23T01:30:19.8717469Z 
2022-11-23T01:30:19.8717529Z  
2022-11-23T01:30:19.8717699Z [2022-11-23 01:24:43,718] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8717766Z  - 
2022-11-23T01:30:19.8717884Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8717951Z             {
2022-11-23T01:30:19.8718090Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8718273Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8718389Z                 'obj_weakref': None
2022-11-23T01:30:19.8718600Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8718661Z             }
2022-11-23T01:30:19.8718722Z             
2022-11-23T01:30:19.8718789Z  - 
2022-11-23T01:30:19.8718910Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8718971Z             {
2022-11-23T01:30:19.8719109Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8719201Z                 'code': None,
2022-11-23T01:30:19.8719410Z                 'obj_weakref': <weakref at 0x7ff58fdcb330; to 'Tensor' at 0x7ff58f9b6610>
2022-11-23T01:30:19.8719661Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8719758Z             }
2022-11-23T01:30:19.8719822Z             
2022-11-23T01:30:19.8719890Z  - 
2022-11-23T01:30:19.8720010Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8720061Z             {
2022-11-23T01:30:19.8720201Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8720307Z                 'code': None,
2022-11-23T01:30:19.8720520Z                 'obj_weakref': <weakref at 0x7ff58fdca110; to 'Tensor' at 0x7ff58ff17f60>
2022-11-23T01:30:19.8720770Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8720832Z             }
2022-11-23T01:30:19.8720893Z             
2022-11-23T01:30:19.8720949Z  - 
2022-11-23T01:30:19.8721069Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8721157Z             {
2022-11-23T01:30:19.8721299Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8721402Z                 'code': None,
2022-11-23T01:30:19.8721613Z                 'obj_weakref': <weakref at 0x7ff58ff1e660; to 'Tensor' at 0x7ff58ff15850>
2022-11-23T01:30:19.8721864Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8721915Z             }
2022-11-23T01:30:19.8721975Z             
2022-11-23T01:30:19.8722043Z  - 
2022-11-23T01:30:19.8722174Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8722236Z             {
2022-11-23T01:30:19.8722367Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8722534Z                 'code': ['___check_obj_id(model, 140692656228960)'],
2022-11-23T01:30:19.8722639Z                 'obj_weakref': None
2022-11-23T01:30:19.8722863Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8722928Z             }
2022-11-23T01:30:19.8722994Z             
2022-11-23T01:30:19.8723062Z  - 
2022-11-23T01:30:19.8723180Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8723243Z             {
2022-11-23T01:30:19.8723365Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8723575Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8723690Z                 'obj_weakref': None
2022-11-23T01:30:19.8723907Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8723968Z             }
2022-11-23T01:30:19.8724029Z             
2022-11-23T01:30:19.8724096Z  - 
2022-11-23T01:30:19.8724215Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8724276Z             {
2022-11-23T01:30:19.8724395Z                 'guard_types': None,
2022-11-23T01:30:19.8724500Z                 'code': None,
2022-11-23T01:30:19.8724618Z                 'obj_weakref': None
2022-11-23T01:30:19.8724735Z                 'guarded_class': None
2022-11-23T01:30:19.8724799Z             }
2022-11-23T01:30:19.8724848Z             
2022-11-23T01:30:19.8725106Z [2022-11-23 01:24:43,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 193
2022-11-23T01:30:19.8725475Z [2022-11-23 01:24:45,231] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6w/c6w4zktuafltipacnt3b5sn7lnsiglq7tmmj2l4sthvmgfpg6lyt.py
2022-11-23T01:30:19.8725734Z [2022-11-23 01:24:45,231] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 193
2022-11-23T01:30:19.8725966Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8726278Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8726494Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8726744Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8727044Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8727350Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8727694Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8728011Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8728388Z [2022-11-23 01:24:45,715] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e35d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:30:19.8728514Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8728615Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:30:19.8728706Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8728792Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8728878Z                8 BUILD_LIST               1
2022-11-23T01:30:19.8728952Z               10 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8729037Z               12 CALL_METHOD              3
2022-11-23T01:30:19.8729043Z 
2022-11-23T01:30:19.8729137Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8729235Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:30:19.8729323Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8729408Z               20 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8729481Z               22 BINARY_ADD
2022-11-23T01:30:19.8729555Z               24 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8729640Z               26 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8729712Z               28 BINARY_ADD
2022-11-23T01:30:19.8729798Z               30 BUILD_LIST               1
2022-11-23T01:30:19.8729883Z               32 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8729967Z               34 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8730036Z               36 BINARY_ADD
2022-11-23T01:30:19.8730111Z               38 CALL_METHOD              3
2022-11-23T01:30:19.8730195Z               40 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8730265Z               42 BINARY_ADD
2022-11-23T01:30:19.8730270Z 
2022-11-23T01:30:19.8730357Z 3449          44 BUILD_TUPLE              2
2022-11-23T01:30:19.8730434Z               46 RETURN_VALUE
2022-11-23T01:30:19.8730493Z  
2022-11-23T01:30:19.8730498Z 
2022-11-23T01:30:19.8730813Z [2022-11-23 01:24:45,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3450
2022-11-23T01:30:19.8731034Z [2022-11-23 01:24:45,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8731393Z [2022-11-23 01:24:45,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8731720Z [2022-11-23 01:24:45,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8732067Z [2022-11-23 01:24:45,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8732447Z [2022-11-23 01:24:45,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8732848Z [2022-11-23 01:24:45,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8733257Z [2022-11-23 01:24:45,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8733568Z [2022-11-23 01:24:45,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3451
2022-11-23T01:30:19.8733812Z [2022-11-23 01:24:45,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.8734209Z [2022-11-23 01:24:45,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8734590Z [2022-11-23 01:24:45,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8734969Z [2022-11-23 01:24:45,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8735396Z [2022-11-23 01:24:45,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8735769Z [2022-11-23 01:24:45,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8736185Z [2022-11-23 01:24:45,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8736838Z [2022-11-23 01:24:45,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8737244Z [2022-11-23 01:24:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8737647Z [2022-11-23 01:24:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8738088Z [2022-11-23 01:24:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8738567Z [2022-11-23 01:24:45,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8739008Z [2022-11-23 01:24:45,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8739275Z [2022-11-23 01:24:45,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8739581Z [2022-11-23 01:24:45,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8739949Z [2022-11-23 01:24:45,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3449
2022-11-23T01:30:19.8740216Z [2022-11-23 01:24:45,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8740458Z [2022-11-23 01:24:45,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8740838Z [2022-11-23 01:24:45,723] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e35d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3448>
2022-11-23T01:30:19.8741081Z [2022-11-23 01:24:45,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8741313Z [2022-11-23 01:24:45,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8741594Z [2022-11-23 01:24:45,724] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8741846Z [2022-11-23 01:24:45,729] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8742032Z [2022-11-23 01:24:45,729] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8742165Z  __compiled_fn_195 <eval_with_key>.1634 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8742253Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8742338Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8742422Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8742680Z call_function, index_put, <built-in method index_put of type object at 0x7ff5d7c59c60>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:30:19.8742838Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.8743008Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:19.8743178Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:30:19.8743436Z call_function, index_put_, <built-in method index_put_ of type object at 0x7ff5d7c59c60>, (add, [add_1], add_2), {}
2022-11-23T01:30:19.8743616Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:30:19.8743722Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:30:19.8743728Z 
2022-11-23T01:30:19.8744052Z [2022-11-23 01:24:45,730] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8744143Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8744221Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8744304Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8744393Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8744478Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8744567Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8744640Z              12 RETURN_VALUE
2022-11-23T01:30:19.8744646Z 
2022-11-23T01:30:19.8744705Z  
2022-11-23T01:30:19.8745028Z [2022-11-23 01:24:45,730] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8745122Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_195)
2022-11-23T01:30:19.8745209Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8745297Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8745373Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8745460Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8745544Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8745619Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8745693Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8745779Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8745858Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8745946Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8746095Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8746199Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8746289Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8746352Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8746453Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8746541Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8746617Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.8746705Z              36 BUILD_TUPLE              2
2022-11-23T01:30:19.8746782Z              38 RETURN_VALUE
2022-11-23T01:30:19.8746787Z 
2022-11-23T01:30:19.8746850Z  
2022-11-23T01:30:19.8747022Z [2022-11-23 01:24:45,731] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8747093Z  - 
2022-11-23T01:30:19.8747241Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8747307Z             {
2022-11-23T01:30:19.8747448Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8747636Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8747756Z                 'obj_weakref': None
2022-11-23T01:30:19.8747979Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8748031Z             }
2022-11-23T01:30:19.8748095Z             
2022-11-23T01:30:19.8748165Z  - 
2022-11-23T01:30:19.8748290Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8748355Z             {
2022-11-23T01:30:19.8748496Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8748593Z                 'code': None,
2022-11-23T01:30:19.8748809Z                 'obj_weakref': <weakref at 0x7ff58fe3f470; to 'Tensor' at 0x7ff58f9b6610>
2022-11-23T01:30:19.8749061Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8749128Z             }
2022-11-23T01:30:19.8749193Z             
2022-11-23T01:30:19.8749263Z  - 
2022-11-23T01:30:19.8749388Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8749438Z             {
2022-11-23T01:30:19.8749581Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8749688Z                 'code': None,
2022-11-23T01:30:19.8749900Z                 'obj_weakref': <weakref at 0x7ff58fe3e4d0; to 'Tensor' at 0x7ff58fdcb3d0>
2022-11-23T01:30:19.8750153Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8750221Z             }
2022-11-23T01:30:19.8750284Z             
2022-11-23T01:30:19.8750342Z  - 
2022-11-23T01:30:19.8750465Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8750528Z             {
2022-11-23T01:30:19.8750671Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8750776Z                 'code': None,
2022-11-23T01:30:19.8750988Z                 'obj_weakref': <weakref at 0x7ff58ff15080; to 'Tensor' at 0x7ff58fdcba10>
2022-11-23T01:30:19.8751240Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8751306Z             }
2022-11-23T01:30:19.8751356Z             
2022-11-23T01:30:19.8751423Z  - 
2022-11-23T01:30:19.8751554Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8751617Z             {
2022-11-23T01:30:19.8751752Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8751918Z                 'code': ['___check_obj_id(model, 140692656228960)'],
2022-11-23T01:30:19.8752023Z                 'obj_weakref': None
2022-11-23T01:30:19.8752250Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8752312Z             }
2022-11-23T01:30:19.8752373Z             
2022-11-23T01:30:19.8752442Z  - 
2022-11-23T01:30:19.8752562Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8752622Z             {
2022-11-23T01:30:19.8752744Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8752992Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8753110Z                 'obj_weakref': None
2022-11-23T01:30:19.8753328Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8753390Z             }
2022-11-23T01:30:19.8753451Z             
2022-11-23T01:30:19.8753516Z  - 
2022-11-23T01:30:19.8753636Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8753698Z             {
2022-11-23T01:30:19.8753903Z                 'guard_types': None,
2022-11-23T01:30:19.8754012Z                 'code': None,
2022-11-23T01:30:19.8754129Z                 'obj_weakref': None
2022-11-23T01:30:19.8754247Z                 'guarded_class': None
2022-11-23T01:30:19.8754345Z             }
2022-11-23T01:30:19.8754395Z             
2022-11-23T01:30:19.8754656Z [2022-11-23 01:24:45,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 194
2022-11-23T01:30:19.8755032Z [2022-11-23 01:24:47,212] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ru/cruarqpwtyzqgqwrev5vstoca4at3jzmmcyubaqb4f5g2fdsh4wm.py
2022-11-23T01:30:19.8755295Z [2022-11-23 01:24:47,213] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 194
2022-11-23T01:30:19.8755301Z 
2022-11-23T01:30:19.8755396Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8755465Z import torch
2022-11-23T01:30:19.8755535Z import random
2022-11-23T01:30:19.8755650Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8755759Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8755776Z 
2022-11-23T01:30:19.8755841Z aten = torch.ops.aten
2022-11-23T01:30:19.8755974Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8756067Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8756072Z 
2022-11-23T01:30:19.8756077Z 
2022-11-23T01:30:19.8756208Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8756414Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8756532Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8756636Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.8756727Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8756824Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8756918Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.8757010Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.8757069Z {
2022-11-23T01:30:19.8757167Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8757228Z     {
2022-11-23T01:30:19.8757293Z         #pragma omp for 
2022-11-23T01:30:19.8757379Z         for(long i0=0; i0<1254400; i0+=1)
2022-11-23T01:30:19.8757441Z         {
2022-11-23T01:30:19.8757581Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8757710Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8757793Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8757881Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8757969Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8758018Z         }
2022-11-23T01:30:19.8758110Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8758201Z         for(long i0=10035200; i0<10035200; i0+=1)
2022-11-23T01:30:19.8758262Z         {
2022-11-23T01:30:19.8758345Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8758441Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8758511Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8758588Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.8758666Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.8758727Z         }
2022-11-23T01:30:19.8758801Z         #pragma omp for 
2022-11-23T01:30:19.8758908Z         for(long i0=0; i0<601; i0+=1)
2022-11-23T01:30:19.8758970Z         {
2022-11-23T01:30:19.8759037Z             #pragma GCC ivdep
2022-11-23T01:30:19.8759126Z             for(long i1=0; i1<12544; i1+=1)
2022-11-23T01:30:19.8759189Z             {
2022-11-23T01:30:19.8759253Z                 {
2022-11-23T01:30:19.8759317Z                     {
2022-11-23T01:30:19.8759408Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:19.8759509Z                         auto tmp1 = in_ptr2[i1 + (12544*i0)];
2022-11-23T01:30:19.8759598Z                         auto tmp2 = static_cast<long>(1);
2022-11-23T01:30:19.8759689Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:19.8759792Z                         auto tmp4 = static_cast<float>(1);
2022-11-23T01:30:19.8759883Z                         auto tmp5 = tmp1 + tmp4;
2022-11-23T01:30:19.8760011Z                         out_ptr0[i1 + (12544*tmp0)] = tmp1;
2022-11-23T01:30:19.8760107Z                         out_ptr1[i1 + (12544*tmp3)] = tmp5;
2022-11-23T01:30:19.8760173Z                     }
2022-11-23T01:30:19.8760226Z                 }
2022-11-23T01:30:19.8760290Z             }
2022-11-23T01:30:19.8760351Z         }
2022-11-23T01:30:19.8760426Z         #pragma omp for 
2022-11-23T01:30:19.8760510Z         for(long i0=0; i0<1254400; i0+=1)
2022-11-23T01:30:19.8760571Z         {
2022-11-23T01:30:19.8760702Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8760821Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8760905Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8760995Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.8761057Z         }
2022-11-23T01:30:19.8761147Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8761237Z         for(long i0=10035200; i0<10035200; i0+=1)
2022-11-23T01:30:19.8761300Z         {
2022-11-23T01:30:19.8761373Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:19.8761470Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8761552Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8761631Z             out_ptr2[i0] = tmp2;
2022-11-23T01:30:19.8761693Z         }
2022-11-23T01:30:19.8761751Z     }
2022-11-23T01:30:19.8761810Z }
2022-11-23T01:30:19.8761879Z ''')
2022-11-23T01:30:19.8761884Z 
2022-11-23T01:30:19.8761888Z 
2022-11-23T01:30:19.8761975Z async_compile.wait(globals())
2022-11-23T01:30:19.8762049Z del async_compile
2022-11-23T01:30:19.8762054Z 
2022-11-23T01:30:19.8762121Z def call(args):
2022-11-23T01:30:19.8762202Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8762271Z     args.clear()
2022-11-23T01:30:19.8762491Z     buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8762706Z     buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8762912Z     buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8763147Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.8763215Z     del arg0_1
2022-11-23T01:30:19.8763280Z     del arg1_1
2022-11-23T01:30:19.8763344Z     del arg2_1
2022-11-23T01:30:19.8763422Z     return (buf0, buf4, )
2022-11-23T01:30:19.8763427Z 
2022-11-23T01:30:19.8763431Z 
2022-11-23T01:30:19.8763506Z if __name__ == "__main__":
2022-11-23T01:30:19.8763620Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8763731Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8763948Z     arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8764140Z     arg1_1 = rand_strided((601, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8764358Z     arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8764509Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8764515Z 
2022-11-23T01:30:19.8764520Z 
2022-11-23T01:30:19.8764615Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8764682Z import torch
2022-11-23T01:30:19.8764751Z import random
2022-11-23T01:30:19.8764853Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8764974Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8764979Z 
2022-11-23T01:30:19.8765057Z aten = torch.ops.aten
2022-11-23T01:30:19.8765187Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8765279Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8765284Z 
2022-11-23T01:30:19.8765288Z 
2022-11-23T01:30:19.8765420Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8765657Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8765777Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8765868Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.8765969Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8766066Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.8766160Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.8766255Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.8766314Z {
2022-11-23T01:30:19.8766409Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8766458Z     {
2022-11-23T01:30:19.8766533Z         #pragma omp for 
2022-11-23T01:30:19.8766615Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.8766677Z         {
2022-11-23T01:30:19.8766807Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8766940Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8767023Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8767102Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8767193Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8767255Z         }
2022-11-23T01:30:19.8767346Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8767431Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:30:19.8767493Z         {
2022-11-23T01:30:19.8767574Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8767659Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8767740Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8767817Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.8767894Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.8767956Z         }
2022-11-23T01:30:19.8768029Z         #pragma omp for 
2022-11-23T01:30:19.8768108Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.8768158Z         {
2022-11-23T01:30:19.8768236Z             #pragma GCC ivdep
2022-11-23T01:30:19.8768316Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:19.8768380Z             {
2022-11-23T01:30:19.8768446Z                 {
2022-11-23T01:30:19.8768510Z                     {
2022-11-23T01:30:19.8768602Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:19.8768683Z                         auto tmp1 = in_ptr2[i0];
2022-11-23T01:30:19.8768784Z                         auto tmp2 = static_cast<long>(1);
2022-11-23T01:30:19.8768875Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:19.8768980Z                         auto tmp4 = static_cast<float>(1);
2022-11-23T01:30:19.8769069Z                         auto tmp5 = tmp1 + tmp4;
2022-11-23T01:30:19.8769165Z                         out_ptr0[i1 + (8*tmp0)] = tmp1;
2022-11-23T01:30:19.8769262Z                         out_ptr1[i1 + (8*tmp3)] = tmp5;
2022-11-23T01:30:19.8769315Z                     }
2022-11-23T01:30:19.8769380Z                 }
2022-11-23T01:30:19.8769442Z             }
2022-11-23T01:30:19.8769505Z         }
2022-11-23T01:30:19.8769580Z         #pragma omp for 
2022-11-23T01:30:19.8769688Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.8769750Z         {
2022-11-23T01:30:19.8769869Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:30:19.8769999Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.8770083Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8770171Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.8770231Z         }
2022-11-23T01:30:19.8770322Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8770410Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:30:19.8770459Z         {
2022-11-23T01:30:19.8770541Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:19.8770639Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.8770751Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.8770828Z             out_ptr2[i0] = tmp2;
2022-11-23T01:30:19.8770889Z         }
2022-11-23T01:30:19.8770949Z     }
2022-11-23T01:30:19.8770996Z }
2022-11-23T01:30:19.8771077Z ''')
2022-11-23T01:30:19.8771082Z 
2022-11-23T01:30:19.8771086Z 
2022-11-23T01:30:19.8771173Z async_compile.wait(globals())
2022-11-23T01:30:19.8771244Z del async_compile
2022-11-23T01:30:19.8771249Z 
2022-11-23T01:30:19.8771317Z def call(args):
2022-11-23T01:30:19.8771396Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8771467Z     args.clear()
2022-11-23T01:30:19.8771660Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8771860Z     buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8772058Z     buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8772290Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:19.8772361Z     del arg0_1
2022-11-23T01:30:19.8772427Z     del arg1_1
2022-11-23T01:30:19.8772493Z     del arg2_1
2022-11-23T01:30:19.8772568Z     return (buf0, buf4, )
2022-11-23T01:30:19.8772573Z 
2022-11-23T01:30:19.8772577Z 
2022-11-23T01:30:19.8772640Z if __name__ == "__main__":
2022-11-23T01:30:19.8772753Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8772873Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8773076Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8773261Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8773459Z     arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8773578Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8773585Z 
2022-11-23T01:30:19.8773650Z ok (3.842s)
2022-11-23T01:30:19.8773948Z   test_index_put2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:47,374] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8774263Z [2022-11-23 01:24:47,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8774478Z [2022-11-23 01:24:47,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8774730Z [2022-11-23 01:24:47,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8775007Z [2022-11-23 01:24:47,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8775325Z [2022-11-23 01:24:47,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8775669Z [2022-11-23 01:24:47,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8776021Z [2022-11-23 01:24:47,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8776395Z [2022-11-23 01:24:47,375] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e37e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3467> 
2022-11-23T01:30:19.8776705Z  3468           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8776795Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:30:19.8776889Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8776976Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8777064Z                8 BUILD_LIST               1
2022-11-23T01:30:19.8777151Z               10 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8777300Z               12 LOAD_CONST               1 (True)
2022-11-23T01:30:19.8777387Z               14 CALL_METHOD              4
2022-11-23T01:30:19.8777453Z               16 RETURN_VALUE
2022-11-23T01:30:19.8777513Z  
2022-11-23T01:30:19.8777519Z 
2022-11-23T01:30:19.8777841Z [2022-11-23 01:24:47,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3468
2022-11-23T01:30:19.8778060Z [2022-11-23 01:24:47,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8778433Z [2022-11-23 01:24:47,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8778762Z [2022-11-23 01:24:47,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.8779118Z [2022-11-23 01:24:47,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.8779502Z [2022-11-23 01:24:47,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8779878Z [2022-11-23 01:24:47,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8780293Z [2022-11-23 01:24:47,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8780746Z [2022-11-23 01:24:47,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method index_put of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.8780999Z [2022-11-23 01:24:47,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8781366Z [2022-11-23 01:24:47,377] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e37e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3467>
2022-11-23T01:30:19.8781611Z [2022-11-23 01:24:47,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8781845Z [2022-11-23 01:24:47,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8782098Z [2022-11-23 01:24:47,378] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8782347Z [2022-11-23 01:24:47,381] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8782539Z [2022-11-23 01:24:47,381] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8782712Z  __compiled_fn_196 <eval_with_key>.1640 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8782804Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8782893Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8782966Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8783235Z call_function, index_put, <built-in method index_put of type object at 0x7ff5d7c59c60>, (ex_0_, [ex_1_], ex_2_, True), {}
2022-11-23T01:30:19.8783341Z output, output, output, ((index_put,),), {}
2022-11-23T01:30:19.8783347Z 
2022-11-23T01:30:19.8783672Z [2022-11-23 01:24:47,382] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8783767Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8783860Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8783977Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8784070Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8784145Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8784232Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8784309Z              12 RETURN_VALUE
2022-11-23T01:30:19.8784314Z 
2022-11-23T01:30:19.8784377Z  
2022-11-23T01:30:19.8784698Z [2022-11-23 01:24:47,382] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8784809Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_196)
2022-11-23T01:30:19.8784900Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8784993Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8785058Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8785147Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8785238Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8785314Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8785404Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8785497Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8785573Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8785648Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8785739Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8785816Z              24 RETURN_VALUE
2022-11-23T01:30:19.8785821Z 
2022-11-23T01:30:19.8785885Z  
2022-11-23T01:30:19.8786069Z [2022-11-23 01:24:47,383] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8786139Z  - 
2022-11-23T01:30:19.8786258Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8786310Z             {
2022-11-23T01:30:19.8786447Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8786636Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8786760Z                 'obj_weakref': None
2022-11-23T01:30:19.8786983Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8787049Z             }
2022-11-23T01:30:19.8787114Z             
2022-11-23T01:30:19.8787170Z  - 
2022-11-23T01:30:19.8787295Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8787357Z             {
2022-11-23T01:30:19.8787497Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8787600Z                 'code': None,
2022-11-23T01:30:19.8787809Z                 'obj_weakref': <weakref at 0x7ff59c0d22f0; to 'Tensor' at 0x7ff58fe9b1f0>
2022-11-23T01:30:19.8788059Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8788110Z             }
2022-11-23T01:30:19.8788170Z             
2022-11-23T01:30:19.8788236Z  - 
2022-11-23T01:30:19.8788356Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8788420Z             {
2022-11-23T01:30:19.8788560Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8788665Z                 'code': None,
2022-11-23T01:30:19.8788904Z                 'obj_weakref': <weakref at 0x7ff58ff178d0; to 'Tensor' at 0x7ff58fe99ee0>
2022-11-23T01:30:19.8789157Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8789220Z             }
2022-11-23T01:30:19.8789283Z             
2022-11-23T01:30:19.8789351Z  - 
2022-11-23T01:30:19.8789472Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8789533Z             {
2022-11-23T01:30:19.8789660Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8789764Z                 'code': None,
2022-11-23T01:30:19.8789971Z                 'obj_weakref': <weakref at 0x7ff58ff16020; to 'Tensor' at 0x7ff59c18e660>
2022-11-23T01:30:19.8790221Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8790314Z             }
2022-11-23T01:30:19.8790375Z             
2022-11-23T01:30:19.8790442Z  - 
2022-11-23T01:30:19.8790560Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8790624Z             {
2022-11-23T01:30:19.8790758Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8790926Z                 'code': ['___check_obj_id(model, 140692656232992)'],
2022-11-23T01:30:19.8791043Z                 'obj_weakref': None
2022-11-23T01:30:19.8791270Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8791333Z             }
2022-11-23T01:30:19.8791383Z             
2022-11-23T01:30:19.8791450Z  - 
2022-11-23T01:30:19.8791570Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8791632Z             {
2022-11-23T01:30:19.8791768Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8791983Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8792101Z                 'obj_weakref': None
2022-11-23T01:30:19.8792309Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8792371Z             }
2022-11-23T01:30:19.8792433Z             
2022-11-23T01:30:19.8792502Z  - 
2022-11-23T01:30:19.8792633Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8792694Z             {
2022-11-23T01:30:19.8792810Z                 'guard_types': None,
2022-11-23T01:30:19.8792901Z                 'code': None,
2022-11-23T01:30:19.8793016Z                 'obj_weakref': None
2022-11-23T01:30:19.8793135Z                 'guarded_class': None
2022-11-23T01:30:19.8793196Z             }
2022-11-23T01:30:19.8793257Z             
2022-11-23T01:30:19.8793516Z [2022-11-23 01:24:47,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 195
2022-11-23T01:30:19.8793964Z [2022-11-23 01:24:48,829] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ie/cieofyudbrypa74bny4qnxfk2s4vs7mhp3aasyildjn4zbmyqwjk.py
2022-11-23T01:30:19.8794221Z [2022-11-23 01:24:48,829] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 195
2022-11-23T01:30:19.8794239Z 
2022-11-23T01:30:19.8794320Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8794388Z import torch
2022-11-23T01:30:19.8794456Z import random
2022-11-23T01:30:19.8794569Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8794688Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8794694Z 
2022-11-23T01:30:19.8794770Z aten = torch.ops.aten
2022-11-23T01:30:19.8794900Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8794980Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8794985Z 
2022-11-23T01:30:19.8795001Z 
2022-11-23T01:30:19.8795121Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8795325Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8795448Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8795583Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.8795687Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8795783Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8795843Z {
2022-11-23T01:30:19.8795927Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8795988Z     {
2022-11-23T01:30:19.8796064Z         #pragma omp for 
2022-11-23T01:30:19.8796148Z         for(long i0=0; i0<156800; i0+=1)
2022-11-23T01:30:19.8796210Z         {
2022-11-23T01:30:19.8796343Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.8796431Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8796482Z         }
2022-11-23T01:30:19.8796572Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8796662Z         for(long i0=1254400; i0<1254400; i0+=1)
2022-11-23T01:30:19.8796754Z         {
2022-11-23T01:30:19.8796837Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8796916Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.8796967Z         }
2022-11-23T01:30:19.8797041Z         #pragma omp for 
2022-11-23T01:30:19.8797122Z         for(long i0=0; i0<600; i0+=1)
2022-11-23T01:30:19.8797182Z         {
2022-11-23T01:30:19.8797262Z             #pragma GCC ivdep
2022-11-23T01:30:19.8797347Z             for(long i1=0; i1<12544; i1+=1)
2022-11-23T01:30:19.8797410Z             {
2022-11-23T01:30:19.8797462Z                 {
2022-11-23T01:30:19.8797527Z                     {
2022-11-23T01:30:19.8797619Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:19.8797721Z                         auto tmp1 = in_ptr2[i1 + (12544*i0)];
2022-11-23T01:30:19.8797833Z                         atomic_add(&out_ptr0[i1 + (12544*tmp0)], tmp1);
2022-11-23T01:30:19.8797898Z                     }
2022-11-23T01:30:19.8797960Z                 }
2022-11-23T01:30:19.8798013Z             }
2022-11-23T01:30:19.8798076Z         }
2022-11-23T01:30:19.8798136Z     }
2022-11-23T01:30:19.8798196Z }
2022-11-23T01:30:19.8798273Z ''')
2022-11-23T01:30:19.8798279Z 
2022-11-23T01:30:19.8798284Z 
2022-11-23T01:30:19.8798372Z async_compile.wait(globals())
2022-11-23T01:30:19.8798444Z del async_compile
2022-11-23T01:30:19.8798448Z 
2022-11-23T01:30:19.8798506Z def call(args):
2022-11-23T01:30:19.8798585Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8798654Z     args.clear()
2022-11-23T01:30:19.8798874Z     buf0 = empty_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8799061Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8799127Z     del arg0_1
2022-11-23T01:30:19.8799192Z     del arg1_1
2022-11-23T01:30:19.8799244Z     del arg2_1
2022-11-23T01:30:19.8799313Z     return (buf0, )
2022-11-23T01:30:19.8799321Z 
2022-11-23T01:30:19.8799325Z 
2022-11-23T01:30:19.8799398Z if __name__ == "__main__":
2022-11-23T01:30:19.8799511Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8799634Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8799855Z     arg0_1 = rand_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8800045Z     arg1_1 = rand_strided((600, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.8800264Z     arg2_1 = rand_strided((600, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8800386Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8800390Z 
2022-11-23T01:30:19.8800444Z ok (1.652s)
2022-11-23T01:30:19.8800752Z   test_index_put3_cpu (__main__.CpuTests) ... [2022-11-23 01:24:48,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8801067Z [2022-11-23 01:24:48,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8801316Z [2022-11-23 01:24:48,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8801568Z [2022-11-23 01:24:48,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8801845Z [2022-11-23 01:24:48,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8802164Z [2022-11-23 01:24:48,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8802507Z [2022-11-23 01:24:48,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8802827Z [2022-11-23 01:24:48,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8803265Z [2022-11-23 01:24:48,873] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482> 
2022-11-23T01:30:19.8803351Z  3483           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8803441Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.8803535Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.8803633Z                6 LOAD_METHOD              3 (index_put_)
2022-11-23T01:30:19.8803722Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8803813Z               10 LOAD_CONST               0 (None)
2022-11-23T01:30:19.8803900Z               12 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8803979Z               14 LOAD_CONST               0 (None)
2022-11-23T01:30:19.8804066Z               16 BUILD_TUPLE              3
2022-11-23T01:30:19.8804154Z               18 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8804241Z               20 CALL_METHOD              3
2022-11-23T01:30:19.8804312Z               22 POP_TOP
2022-11-23T01:30:19.8804317Z 
2022-11-23T01:30:19.8804407Z 3484          24 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8804496Z               26 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8804568Z               28 BINARY_ADD
2022-11-23T01:30:19.8804646Z               30 STORE_FAST               3 (a1)
2022-11-23T01:30:19.8804652Z 
2022-11-23T01:30:19.8804743Z 3485          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.8804831Z               34 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.8804920Z               36 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.8805018Z               38 LOAD_METHOD              3 (index_put_)
2022-11-23T01:30:19.8805107Z               40 LOAD_FAST                3 (a1)
2022-11-23T01:30:19.8805195Z               42 LOAD_CONST               0 (None)
2022-11-23T01:30:19.8805271Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8805359Z               46 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8805429Z               48 BINARY_ADD
2022-11-23T01:30:19.8805519Z               50 LOAD_CONST               0 (None)
2022-11-23T01:30:19.8805606Z               52 BUILD_TUPLE              3
2022-11-23T01:30:19.8805692Z               54 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8805777Z               56 LOAD_CONST               1 (1)
2022-11-23T01:30:19.8805837Z               58 BINARY_ADD
2022-11-23T01:30:19.8805922Z               60 CALL_METHOD              3
2022-11-23T01:30:19.8805991Z               62 POP_TOP
2022-11-23T01:30:19.8805996Z 
2022-11-23T01:30:19.8806081Z 3486          64 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8806171Z               66 LOAD_FAST                3 (a1)
2022-11-23T01:30:19.8806258Z               68 BUILD_TUPLE              2
2022-11-23T01:30:19.8806332Z               70 RETURN_VALUE
2022-11-23T01:30:19.8806393Z  
2022-11-23T01:30:19.8806397Z 
2022-11-23T01:30:19.8806734Z [2022-11-23 01:24:48,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3483
2022-11-23T01:30:19.8806953Z [2022-11-23 01:24:48,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8807314Z [2022-11-23 01:24:48,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8807605Z [2022-11-23 01:24:48,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.8807917Z [2022-11-23 01:24:48,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8808170Z [2022-11-23 01:24:48,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:30:19.8808487Z [2022-11-23 01:24:48,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:30:19.8808818Z [2022-11-23 01:24:48,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.8809183Z [2022-11-23 01:24:48,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:30:19.8809594Z [2022-11-23 01:24:48,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.8809902Z [2022-11-23 01:24:48,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:30:19.8810234Z [2022-11-23 01:24:48,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:30:19.8810476Z [2022-11-23 01:24:48,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8810784Z [2022-11-23 01:24:48,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3484
2022-11-23T01:30:19.8810990Z [2022-11-23 01:24:48,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8811226Z [2022-11-23 01:24:48,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.8811504Z [2022-11-23 01:24:48,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8811739Z [2022-11-23 01:24:48,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [TensorVariable()]
2022-11-23T01:30:19.8812053Z [2022-11-23 01:24:48,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3485
2022-11-23T01:30:19.8812267Z [2022-11-23 01:24:48,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8812626Z [2022-11-23 01:24:48,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8812904Z [2022-11-23 01:24:48,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.8813211Z [2022-11-23 01:24:48,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8813465Z [2022-11-23 01:24:48,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten.index_put_)]
2022-11-23T01:30:19.8813758Z [2022-11-23 01:24:48,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:30:19.8814115Z [2022-11-23 01:24:48,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.8814473Z [2022-11-23 01:24:48,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:30:19.8814873Z [2022-11-23 01:24:48,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8815241Z [2022-11-23 01:24:48,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:30:19.8815675Z [2022-11-23 01:24:48,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.8815985Z [2022-11-23 01:24:48,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:30:19.8816322Z [2022-11-23 01:24:48,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:30:19.8816833Z [2022-11-23 01:24:48,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.8817179Z [2022-11-23 01:24:48,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:30:19.8817410Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8817723Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3486
2022-11-23T01:30:19.8817928Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8818163Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TensorVariable()]
2022-11-23T01:30:19.8818429Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8818673Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8819055Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3940, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3482>
2022-11-23T01:30:19.8819303Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.8819534Z [2022-11-23 01:24:48,892] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8819775Z [2022-11-23 01:24:48,893] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8820069Z [2022-11-23 01:24:48,897] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:30:19.8820327Z [2022-11-23 01:24:48,897] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:30:19.8820573Z [2022-11-23 01:24:48,897] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8820757Z [2022-11-23 01:24:48,897] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8820894Z  __compiled_fn_197 <eval_with_key>.1643 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8821030Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8821118Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8821201Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8821331Z call_function, index_put_, aten.index_put_, (ex_0_, (None, ex_1_, None), ex_2_), {}
2022-11-23T01:30:19.8821502Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.8821675Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:19.8821844Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:30:19.8821987Z call_function, index_put__1, aten.index_put_, (add, (None, add_1, None), add_2), {}
2022-11-23T01:30:19.8822080Z output, output, output, ((add,),), {}
2022-11-23T01:30:19.8822086Z 
2022-11-23T01:30:19.8822416Z [2022-11-23 01:24:48,898] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8822549Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8822628Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8822714Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8822805Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8822888Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8822974Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8823047Z              12 RETURN_VALUE
2022-11-23T01:30:19.8823053Z 
2022-11-23T01:30:19.8823111Z  
2022-11-23T01:30:19.8823420Z [2022-11-23 01:24:48,898] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8823525Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_197)
2022-11-23T01:30:19.8823614Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8823708Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8823786Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8823877Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8823965Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8824041Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8824115Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8824201Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8824277Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8824365Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8824470Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.8824557Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8824645Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8824708Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.8824809Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.8824899Z              32 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8824976Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.8825063Z              36 BUILD_TUPLE              2
2022-11-23T01:30:19.8825144Z              38 RETURN_VALUE
2022-11-23T01:30:19.8825150Z 
2022-11-23T01:30:19.8825209Z  
2022-11-23T01:30:19.8825379Z [2022-11-23 01:24:48,898] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8825450Z  - 
2022-11-23T01:30:19.8825569Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8825634Z             {
2022-11-23T01:30:19.8825773Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8825959Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.8826079Z                 'obj_weakref': None
2022-11-23T01:30:19.8826292Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8826358Z             }
2022-11-23T01:30:19.8826423Z             
2022-11-23T01:30:19.8826494Z  - 
2022-11-23T01:30:19.8826620Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8826683Z             {
2022-11-23T01:30:19.8826853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8826947Z                 'code': None,
2022-11-23T01:30:19.8827161Z                 'obj_weakref': <weakref at 0x7ff58f91b1a0; to 'Tensor' at 0x7ff58fe77a10>
2022-11-23T01:30:19.8827413Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8827480Z             }
2022-11-23T01:30:19.8827546Z             
2022-11-23T01:30:19.8827616Z  - 
2022-11-23T01:30:19.8827741Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8827792Z             {
2022-11-23T01:30:19.8827934Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8828042Z                 'code': None,
2022-11-23T01:30:19.8828256Z                 'obj_weakref': <weakref at 0x7ff58fe982c0; to 'Tensor' at 0x7ff58ff8b650>
2022-11-23T01:30:19.8828538Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8828604Z             }
2022-11-23T01:30:19.8828671Z             
2022-11-23T01:30:19.8828726Z  - 
2022-11-23T01:30:19.8828848Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8828913Z             {
2022-11-23T01:30:19.8829055Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8829163Z                 'code': None,
2022-11-23T01:30:19.8829371Z                 'obj_weakref': <weakref at 0x7ff58fe3e070; to 'Tensor' at 0x7ff58ff8b7e0>
2022-11-23T01:30:19.8829624Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8829676Z             }
2022-11-23T01:30:19.8829743Z             
2022-11-23T01:30:19.8829808Z  - 
2022-11-23T01:30:19.8829937Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8829998Z             {
2022-11-23T01:30:19.8830132Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8830297Z                 'code': ['___check_obj_id(model, 140693070180224)'],
2022-11-23T01:30:19.8830405Z                 'obj_weakref': None
2022-11-23T01:30:19.8830632Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8830694Z             }
2022-11-23T01:30:19.8830755Z             
2022-11-23T01:30:19.8830822Z  - 
2022-11-23T01:30:19.8830938Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8830999Z             {
2022-11-23T01:30:19.8831121Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8831333Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8831450Z                 'obj_weakref': None
2022-11-23T01:30:19.8831665Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8831727Z             }
2022-11-23T01:30:19.8831790Z             
2022-11-23T01:30:19.8831856Z  - 
2022-11-23T01:30:19.8831973Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8832034Z             {
2022-11-23T01:30:19.8832155Z                 'guard_types': None,
2022-11-23T01:30:19.8832259Z                 'code': None,
2022-11-23T01:30:19.8832372Z                 'obj_weakref': None
2022-11-23T01:30:19.8832491Z                 'guarded_class': None
2022-11-23T01:30:19.8832553Z             }
2022-11-23T01:30:19.8832604Z             
2022-11-23T01:30:19.8832669Z ok (0.034s)
2022-11-23T01:30:19.8832999Z   test_index_put_as_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8833314Z [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8833531Z [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8833785Z [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8834188Z [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8834508Z [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8834853Z [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8835165Z [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8835540Z [2022-11-23 01:24:48,905] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:30:19.8835661Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8835757Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:30:19.8835845Z                4 CALL_METHOD              0
2022-11-23T01:30:19.8835935Z                6 STORE_FAST               0 (a)
2022-11-23T01:30:19.8835940Z 
2022-11-23T01:30:19.8836034Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.8836123Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:30:19.8836200Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:30:19.8836298Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:30:19.8836386Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8836472Z               18 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8836557Z               20 BUILD_LIST               1
2022-11-23T01:30:19.8836643Z               22 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8836729Z               24 LOAD_FAST                3 (d)
2022-11-23T01:30:19.8836813Z               26 CALL_METHOD              4
2022-11-23T01:30:19.8836874Z               28 POP_TOP
2022-11-23T01:30:19.8836880Z 
2022-11-23T01:30:19.8836964Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8837038Z               32 RETURN_VALUE
2022-11-23T01:30:19.8837097Z  
2022-11-23T01:30:19.8837102Z 
2022-11-23T01:30:19.8837417Z [2022-11-23 01:24:48,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T01:30:19.8837624Z [2022-11-23 01:24:48,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8837865Z [2022-11-23 01:24:48,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:30:19.8838142Z [2022-11-23 01:24:48,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:30:19.8838369Z [2022-11-23 01:24:48,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.8838678Z [2022-11-23 01:24:48,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T01:30:19.8838892Z [2022-11-23 01:24:48,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8839251Z [2022-11-23 01:24:48,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8839539Z [2022-11-23 01:24:48,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.8839847Z [2022-11-23 01:24:48,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8840108Z [2022-11-23 01:24:48,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:30:19.8840424Z [2022-11-23 01:24:48,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:30:19.8840742Z [2022-11-23 01:24:48,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8841048Z [2022-11-23 01:24:48,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8841388Z [2022-11-23 01:24:48,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8841758Z [2022-11-23 01:24:48,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.8842030Z [2022-11-23 01:24:48,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8842338Z [2022-11-23 01:24:48,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T01:30:19.8842544Z [2022-11-23 01:24:48,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8842786Z [2022-11-23 01:24:48,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8843160Z [2022-11-23 01:24:48,914] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T01:30:19.8843405Z [2022-11-23 01:24:48,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8843638Z [2022-11-23 01:24:48,915] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8843891Z [2022-11-23 01:24:48,916] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8844136Z [2022-11-23 01:24:48,918] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8844311Z [2022-11-23 01:24:48,919] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8844447Z  __compiled_fn_198 <eval_with_key>.1649 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8844535Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8844620Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8844702Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8844793Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:30:19.8844931Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:30:19.8845015Z output, output, output, ((clone,),), {}
2022-11-23T01:30:19.8845033Z 
2022-11-23T01:30:19.8845345Z [2022-11-23 01:24:48,919] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8845438Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8845524Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8845610Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8845700Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8845782Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8845867Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8845929Z              12 RETURN_VALUE
2022-11-23T01:30:19.8845935Z 
2022-11-23T01:30:19.8845993Z  
2022-11-23T01:30:19.8846310Z [2022-11-23 01:24:48,919] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8846419Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_198)
2022-11-23T01:30:19.8846507Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8846620Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8846695Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8846782Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8846856Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8846929Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8847014Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8847098Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8847170Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8847256Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8847343Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8847405Z              24 RETURN_VALUE
2022-11-23T01:30:19.8847410Z 
2022-11-23T01:30:19.8847467Z  
2022-11-23T01:30:19.8847647Z [2022-11-23 01:24:48,920] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8847742Z  - 
2022-11-23T01:30:19.8847860Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8847924Z             {
2022-11-23T01:30:19.8848064Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8848238Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:19.8848354Z                 'obj_weakref': None
2022-11-23T01:30:19.8848577Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8848642Z             }
2022-11-23T01:30:19.8848705Z             
2022-11-23T01:30:19.8848770Z  - 
2022-11-23T01:30:19.8848892Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8848941Z             {
2022-11-23T01:30:19.8849079Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8849183Z                 'code': None,
2022-11-23T01:30:19.8849391Z                 'obj_weakref': <weakref at 0x7ff58f918ae0; to 'Tensor' at 0x7ff59c18e4d0>
2022-11-23T01:30:19.8849644Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8849707Z             }
2022-11-23T01:30:19.8849768Z             
2022-11-23T01:30:19.8849827Z  - 
2022-11-23T01:30:19.8849946Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8850009Z             {
2022-11-23T01:30:19.8850148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8850252Z                 'code': None,
2022-11-23T01:30:19.8850465Z                 'obj_weakref': <weakref at 0x7ff58fc456c0; to 'Tensor' at 0x7ff58ff15620>
2022-11-23T01:30:19.8850715Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8850765Z             }
2022-11-23T01:30:19.8850826Z             
2022-11-23T01:30:19.8850894Z  - 
2022-11-23T01:30:19.8851017Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8851078Z             {
2022-11-23T01:30:19.8851218Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8851321Z                 'code': None,
2022-11-23T01:30:19.8851522Z                 'obj_weakref': <weakref at 0x7ff58fc466b0; to 'Tensor' at 0x7ff58ff15cb0>
2022-11-23T01:30:19.8851770Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8851832Z             }
2022-11-23T01:30:19.8851894Z             
2022-11-23T01:30:19.8851960Z  - 
2022-11-23T01:30:19.8852087Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:30:19.8852148Z             {
2022-11-23T01:30:19.8852268Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8852431Z                 'code': ['___check_obj_id(ex[3], 94571819132608)'],
2022-11-23T01:30:19.8852547Z                 'obj_weakref': None
2022-11-23T01:30:19.8852766Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:19.8852831Z             }
2022-11-23T01:30:19.8852891Z             
2022-11-23T01:30:19.8852958Z  - 
2022-11-23T01:30:19.8853074Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8853139Z             {
2022-11-23T01:30:19.8853300Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8853469Z                 'code': ['___check_obj_id(model, 140692656232992)'],
2022-11-23T01:30:19.8853584Z                 'obj_weakref': None
2022-11-23T01:30:19.8853810Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8853871Z             }
2022-11-23T01:30:19.8853922Z             
2022-11-23T01:30:19.8853992Z  - 
2022-11-23T01:30:19.8854112Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8854172Z             {
2022-11-23T01:30:19.8854303Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8854518Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8854661Z                 'obj_weakref': None
2022-11-23T01:30:19.8854864Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8854928Z             }
2022-11-23T01:30:19.8854989Z             
2022-11-23T01:30:19.8855057Z  - 
2022-11-23T01:30:19.8855188Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8855249Z             {
2022-11-23T01:30:19.8855369Z                 'guard_types': None,
2022-11-23T01:30:19.8855462Z                 'code': None,
2022-11-23T01:30:19.8855576Z                 'obj_weakref': None
2022-11-23T01:30:19.8855695Z                 'guarded_class': None
2022-11-23T01:30:19.8855761Z             }
2022-11-23T01:30:19.8855821Z             
2022-11-23T01:30:19.8856080Z [2022-11-23 01:24:48,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 196
2022-11-23T01:30:19.8856597Z [2022-11-23 01:24:50,366] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ln/clnrr3gml7bkjpa6agaeeegj2us6rae3z5hyblhjpce5ltl3u3fc.py
2022-11-23T01:30:19.8856902Z [2022-11-23 01:24:50,367] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 196
2022-11-23T01:30:19.8857138Z [2022-11-23 01:24:50,372] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8857452Z [2022-11-23 01:24:50,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8857670Z [2022-11-23 01:24:50,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8857920Z [2022-11-23 01:24:50,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8858195Z [2022-11-23 01:24:50,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8858515Z [2022-11-23 01:24:50,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8858863Z [2022-11-23 01:24:50,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8859184Z [2022-11-23 01:24:50,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8859562Z [2022-11-23 01:24:50,373] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:30:19.8859642Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8859737Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:30:19.8859824Z                4 CALL_METHOD              0
2022-11-23T01:30:19.8859919Z                6 STORE_FAST               0 (a)
2022-11-23T01:30:19.8859926Z 
2022-11-23T01:30:19.8860022Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.8860111Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:30:19.8860260Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:30:19.8860360Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:30:19.8860436Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8860522Z               18 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8860608Z               20 BUILD_LIST               1
2022-11-23T01:30:19.8860694Z               22 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8860778Z               24 LOAD_FAST                3 (d)
2022-11-23T01:30:19.8860864Z               26 CALL_METHOD              4
2022-11-23T01:30:19.8860935Z               28 POP_TOP
2022-11-23T01:30:19.8860939Z 
2022-11-23T01:30:19.8861014Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8861089Z               32 RETURN_VALUE
2022-11-23T01:30:19.8861188Z  
2022-11-23T01:30:19.8861193Z 
2022-11-23T01:30:19.8861512Z [2022-11-23 01:24:50,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3499
2022-11-23T01:30:19.8861718Z [2022-11-23 01:24:50,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8861958Z [2022-11-23 01:24:50,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:30:19.8862237Z [2022-11-23 01:24:50,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:30:19.8862471Z [2022-11-23 01:24:50,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.8862781Z [2022-11-23 01:24:50,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3500
2022-11-23T01:30:19.8862986Z [2022-11-23 01:24:50,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8863352Z [2022-11-23 01:24:50,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8863641Z [2022-11-23 01:24:50,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.8863951Z [2022-11-23 01:24:50,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8864207Z [2022-11-23 01:24:50,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:30:19.8864487Z [2022-11-23 01:24:50,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:30:19.8864798Z [2022-11-23 01:24:50,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8865112Z [2022-11-23 01:24:50,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8865447Z [2022-11-23 01:24:50,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8865830Z [2022-11-23 01:24:50,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.8866072Z [2022-11-23 01:24:50,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8866368Z [2022-11-23 01:24:50,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3501
2022-11-23T01:30:19.8866574Z [2022-11-23 01:24:50,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8866847Z [2022-11-23 01:24:50,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8867223Z [2022-11-23 01:24:50,382] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3aa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3498>
2022-11-23T01:30:19.8867463Z [2022-11-23 01:24:50,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8867693Z [2022-11-23 01:24:50,382] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8867947Z [2022-11-23 01:24:50,383] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8868193Z [2022-11-23 01:24:50,388] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8868406Z [2022-11-23 01:24:50,388] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8868542Z  __compiled_fn_199 <eval_with_key>.1655 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8868622Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8868708Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8868792Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8868886Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:30:19.8869025Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:30:19.8869123Z output, output, output, ((clone,),), {}
2022-11-23T01:30:19.8869127Z 
2022-11-23T01:30:19.8869451Z [2022-11-23 01:24:50,388] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8869533Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8869625Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8869712Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8869807Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8869893Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8869983Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8870060Z              12 RETURN_VALUE
2022-11-23T01:30:19.8870065Z 
2022-11-23T01:30:19.8870127Z  
2022-11-23T01:30:19.8870437Z [2022-11-23 01:24:50,388] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8870545Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_199)
2022-11-23T01:30:19.8870635Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8870725Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8870803Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8870890Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8870978Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8871043Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8871131Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8871217Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8871295Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8871384Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8871474Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8871548Z              24 RETURN_VALUE
2022-11-23T01:30:19.8871553Z 
2022-11-23T01:30:19.8871602Z  
2022-11-23T01:30:19.8871783Z [2022-11-23 01:24:50,389] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8871851Z  - 
2022-11-23T01:30:19.8871970Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8872035Z             {
2022-11-23T01:30:19.8872176Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8872360Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:19.8872468Z                 'obj_weakref': None
2022-11-23T01:30:19.8872697Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8872762Z             }
2022-11-23T01:30:19.8872856Z             
2022-11-23T01:30:19.8872924Z  - 
2022-11-23T01:30:19.8873049Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8873114Z             {
2022-11-23T01:30:19.8873243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8873349Z                 'code': None,
2022-11-23T01:30:19.8873561Z                 'obj_weakref': <weakref at 0x7ff58f9e1670; to 'Tensor' at 0x7ff59c18e4d0>
2022-11-23T01:30:19.8873903Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8873970Z             }
2022-11-23T01:30:19.8874031Z             
2022-11-23T01:30:19.8874103Z  - 
2022-11-23T01:30:19.8874213Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8874277Z             {
2022-11-23T01:30:19.8874417Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8874555Z                 'code': None,
2022-11-23T01:30:19.8874769Z                 'obj_weakref': <weakref at 0x7ff58fc1dd50; to 'Tensor' at 0x7ff58f91b510>
2022-11-23T01:30:19.8875022Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8875086Z             }
2022-11-23T01:30:19.8875145Z             
2022-11-23T01:30:19.8875200Z  - 
2022-11-23T01:30:19.8875319Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8875380Z             {
2022-11-23T01:30:19.8875519Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8875625Z                 'code': None,
2022-11-23T01:30:19.8875834Z                 'obj_weakref': <weakref at 0x7ff58fc1e1b0; to 'Tensor' at 0x7ff58fcd71f0>
2022-11-23T01:30:19.8876083Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8876136Z             }
2022-11-23T01:30:19.8876197Z             
2022-11-23T01:30:19.8876264Z  - 
2022-11-23T01:30:19.8876391Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:30:19.8876451Z             {
2022-11-23T01:30:19.8876584Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8876737Z                 'code': ['___check_obj_id(ex[3], 94571819132640)'],
2022-11-23T01:30:19.8876851Z                 'obj_weakref': None
2022-11-23T01:30:19.8877069Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:19.8877131Z             }
2022-11-23T01:30:19.8877192Z             
2022-11-23T01:30:19.8877259Z  - 
2022-11-23T01:30:19.8877386Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8877435Z             {
2022-11-23T01:30:19.8877564Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8877731Z                 'code': ['___check_obj_id(model, 140692656232992)'],
2022-11-23T01:30:19.8877846Z                 'obj_weakref': None
2022-11-23T01:30:19.8878075Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8878137Z             }
2022-11-23T01:30:19.8878200Z             
2022-11-23T01:30:19.8878255Z  - 
2022-11-23T01:30:19.8878371Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8878430Z             {
2022-11-23T01:30:19.8878563Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8878775Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8878890Z                 'obj_weakref': None
2022-11-23T01:30:19.8879104Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8879165Z             }
2022-11-23T01:30:19.8879215Z             
2022-11-23T01:30:19.8879281Z  - 
2022-11-23T01:30:19.8879412Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8879473Z             {
2022-11-23T01:30:19.8879589Z                 'guard_types': None,
2022-11-23T01:30:19.8879698Z                 'code': None,
2022-11-23T01:30:19.8879801Z                 'obj_weakref': None
2022-11-23T01:30:19.8879964Z                 'guarded_class': None
2022-11-23T01:30:19.8880025Z             }
2022-11-23T01:30:19.8880084Z             
2022-11-23T01:30:19.8880343Z [2022-11-23 01:24:50,395] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 197
2022-11-23T01:30:19.8880715Z [2022-11-23 01:24:51,844] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/as/caswrzrz4hmk4g2pl7bvhvaeusytj2hk5fawi5xcqubmifawdkym.py
2022-11-23T01:30:19.8880977Z [2022-11-23 01:24:51,845] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 197
2022-11-23T01:30:19.8880983Z 
2022-11-23T01:30:19.8881077Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8881134Z import torch
2022-11-23T01:30:19.8881202Z import random
2022-11-23T01:30:19.8881314Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8881458Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8881463Z 
2022-11-23T01:30:19.8881540Z aten = torch.ops.aten
2022-11-23T01:30:19.8881673Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8881764Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8881769Z 
2022-11-23T01:30:19.8881773Z 
2022-11-23T01:30:19.8881906Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8882100Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8882218Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:30:19.8882322Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8882424Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8882521Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8882581Z {
2022-11-23T01:30:19.8882675Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8882725Z     {
2022-11-23T01:30:19.8882801Z         #pragma omp for 
2022-11-23T01:30:19.8882883Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.8882944Z         {
2022-11-23T01:30:19.8883045Z             float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:30:19.8883164Z             flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:30:19.8883307Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:30:19.8883425Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:30:19.8883543Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:30:19.8883663Z             auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2022-11-23T01:30:19.8883753Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8883816Z         }
2022-11-23T01:30:19.8883908Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8883993Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:30:19.8884058Z         {
2022-11-23T01:30:19.8884129Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8884208Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:30:19.8884290Z             auto tmp2 = in_ptr2[i0];
2022-11-23T01:30:19.8884382Z             auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:30:19.8884461Z             out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.8884520Z         }
2022-11-23T01:30:19.8884580Z     }
2022-11-23T01:30:19.8884627Z }
2022-11-23T01:30:19.8884704Z ''')
2022-11-23T01:30:19.8884709Z 
2022-11-23T01:30:19.8884713Z 
2022-11-23T01:30:19.8884800Z async_compile.wait(globals())
2022-11-23T01:30:19.8884873Z del async_compile
2022-11-23T01:30:19.8884878Z 
2022-11-23T01:30:19.8884946Z def call(args):
2022-11-23T01:30:19.8885027Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8885096Z     args.clear()
2022-11-23T01:30:19.8885291Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8885477Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8885545Z     del arg0_1
2022-11-23T01:30:19.8885611Z     del arg1_1
2022-11-23T01:30:19.8885706Z     del arg2_1
2022-11-23T01:30:19.8885777Z     return (buf0, )
2022-11-23T01:30:19.8885783Z 
2022-11-23T01:30:19.8885787Z 
2022-11-23T01:30:19.8885861Z if __name__ == "__main__":
2022-11-23T01:30:19.8885975Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8886085Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8886292Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8886490Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.8886671Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8886789Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8886794Z 
2022-11-23T01:30:19.8886843Z 
2022-11-23T01:30:19.8886935Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8887002Z import torch
2022-11-23T01:30:19.8887069Z import random
2022-11-23T01:30:19.8887173Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8887291Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8887295Z 
2022-11-23T01:30:19.8887371Z aten = torch.ops.aten
2022-11-23T01:30:19.8887503Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8887592Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8887597Z 
2022-11-23T01:30:19.8887602Z 
2022-11-23T01:30:19.8887736Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8887938Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8888057Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:30:19.8888147Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.8888249Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.8888350Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8888408Z {
2022-11-23T01:30:19.8888506Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.8888567Z     {
2022-11-23T01:30:19.8888643Z         #pragma omp for 
2022-11-23T01:30:19.8888714Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:19.8888776Z         {
2022-11-23T01:30:19.8888874Z             float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:30:19.8888992Z             flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:30:19.8889131Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:30:19.8889264Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.8889381Z             auto tmp2 = at::vec::Vectorized<float>(in_ptr2[0]);
2022-11-23T01:30:19.8889453Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.8889572Z             auto tmp4 = decltype(tmp3)::blendv(tmp1, tmp3, tmp0);
2022-11-23T01:30:19.8889665Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.8889727Z         }
2022-11-23T01:30:19.8889820Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.8889903Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:30:19.8889965Z         {
2022-11-23T01:30:19.8890035Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8890115Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.8890196Z             auto tmp2 = in_ptr2[0];
2022-11-23T01:30:19.8890276Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.8890366Z             auto tmp4 = tmp0 ? tmp3 : tmp1;
2022-11-23T01:30:19.8890444Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:19.8890505Z         }
2022-11-23T01:30:19.8890554Z     }
2022-11-23T01:30:19.8890612Z }
2022-11-23T01:30:19.8890688Z ''')
2022-11-23T01:30:19.8890693Z 
2022-11-23T01:30:19.8890697Z 
2022-11-23T01:30:19.8890785Z async_compile.wait(globals())
2022-11-23T01:30:19.8890860Z del async_compile
2022-11-23T01:30:19.8890865Z 
2022-11-23T01:30:19.8890932Z def call(args):
2022-11-23T01:30:19.8891011Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8891080Z     args.clear()
2022-11-23T01:30:19.8891301Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8891485Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8891553Z     del arg0_1
2022-11-23T01:30:19.8891617Z     del arg1_1
2022-11-23T01:30:19.8891680Z     del arg2_1
2022-11-23T01:30:19.8891751Z     return (buf0, )
2022-11-23T01:30:19.8891756Z 
2022-11-23T01:30:19.8891760Z 
2022-11-23T01:30:19.8891833Z if __name__ == "__main__":
2022-11-23T01:30:19.8891933Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8892054Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8892257Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8892481Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.8892664Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8892781Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8892786Z 
2022-11-23T01:30:19.8892850Z ok (2.946s)
2022-11-23T01:30:19.8893175Z   test_index_put_fallback1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:51,851] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8893487Z [2022-11-23 01:24:51,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8893692Z [2022-11-23 01:24:51,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8893945Z [2022-11-23 01:24:51,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8894222Z [2022-11-23 01:24:51,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8894540Z [2022-11-23 01:24:51,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8894884Z [2022-11-23 01:24:51,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8895206Z [2022-11-23 01:24:51,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8895583Z [2022-11-23 01:24:51,852] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:30:19.8895675Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8895771Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:30:19.8895847Z                4 CALL_METHOD              0
2022-11-23T01:30:19.8895938Z                6 STORE_FAST               0 (a)
2022-11-23T01:30:19.8895943Z 
2022-11-23T01:30:19.8896034Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.8896123Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:30:19.8896211Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:30:19.8896309Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:30:19.8896397Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8896614Z               18 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8896690Z               20 BUILD_LIST               1
2022-11-23T01:30:19.8896775Z               22 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8896860Z               24 LOAD_FAST                3 (d)
2022-11-23T01:30:19.8896944Z               26 CALL_METHOD              4
2022-11-23T01:30:19.8897019Z               28 POP_TOP
2022-11-23T01:30:19.8897024Z 
2022-11-23T01:30:19.8897110Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8897228Z               32 RETURN_VALUE
2022-11-23T01:30:19.8897278Z  
2022-11-23T01:30:19.8897283Z 
2022-11-23T01:30:19.8897602Z [2022-11-23 01:24:51,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T01:30:19.8897809Z [2022-11-23 01:24:51,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8898052Z [2022-11-23 01:24:51,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:30:19.8898329Z [2022-11-23 01:24:51,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:30:19.8898562Z [2022-11-23 01:24:51,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.8898911Z [2022-11-23 01:24:51,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T01:30:19.8899128Z [2022-11-23 01:24:51,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8899489Z [2022-11-23 01:24:51,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8899780Z [2022-11-23 01:24:51,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.8900079Z [2022-11-23 01:24:51,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8900333Z [2022-11-23 01:24:51,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:30:19.8900616Z [2022-11-23 01:24:51,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:30:19.8900934Z [2022-11-23 01:24:51,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8901238Z [2022-11-23 01:24:51,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8901572Z [2022-11-23 01:24:51,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8901949Z [2022-11-23 01:24:51,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.8902188Z [2022-11-23 01:24:51,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8902505Z [2022-11-23 01:24:51,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T01:30:19.8902711Z [2022-11-23 01:24:51,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8902958Z [2022-11-23 01:24:51,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8903324Z [2022-11-23 01:24:51,861] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T01:30:19.8903571Z [2022-11-23 01:24:51,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8903803Z [2022-11-23 01:24:51,861] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8904053Z [2022-11-23 01:24:51,862] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8904352Z [2022-11-23 01:24:51,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8904542Z [2022-11-23 01:24:51,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8904675Z  __compiled_fn_200 <eval_with_key>.1661 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8904762Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8904838Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8904923Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8905015Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:30:19.8905153Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:30:19.8905246Z output, output, output, ((clone,),), {}
2022-11-23T01:30:19.8905252Z 
2022-11-23T01:30:19.8905574Z [2022-11-23 01:24:51,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8905695Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8905788Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8905861Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8905952Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8906037Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8906125Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8906202Z              12 RETURN_VALUE
2022-11-23T01:30:19.8906207Z 
2022-11-23T01:30:19.8906269Z  
2022-11-23T01:30:19.8906590Z [2022-11-23 01:24:51,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8906697Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_200)
2022-11-23T01:30:19.8906774Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8906866Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8906946Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8907037Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8907127Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8907204Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8907291Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8907365Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8907441Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8907529Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8907619Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8907693Z              24 RETURN_VALUE
2022-11-23T01:30:19.8907698Z 
2022-11-23T01:30:19.8907759Z  
2022-11-23T01:30:19.8907942Z [2022-11-23 01:24:51,866] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8908000Z  - 
2022-11-23T01:30:19.8908120Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8908186Z             {
2022-11-23T01:30:19.8908325Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8908515Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:19.8908635Z                 'obj_weakref': None
2022-11-23T01:30:19.8908861Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8908914Z             }
2022-11-23T01:30:19.8908978Z             
2022-11-23T01:30:19.8909048Z  - 
2022-11-23T01:30:19.8909171Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8909235Z             {
2022-11-23T01:30:19.8909378Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8909484Z                 'code': None,
2022-11-23T01:30:19.8909682Z                 'obj_weakref': <weakref at 0x7ff58fc1d210; to 'Tensor' at 0x7ff5a8c58d60>
2022-11-23T01:30:19.8909935Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8910002Z             }
2022-11-23T01:30:19.8910067Z             
2022-11-23T01:30:19.8910136Z  - 
2022-11-23T01:30:19.8910261Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8910351Z             {
2022-11-23T01:30:19.8910480Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8910586Z                 'code': None,
2022-11-23T01:30:19.8910797Z                 'obj_weakref': <weakref at 0x7ff58fc46e80; to 'Tensor' at 0x7ff58f918ae0>
2022-11-23T01:30:19.8911048Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8911112Z             }
2022-11-23T01:30:19.8911175Z             
2022-11-23T01:30:19.8911245Z  - 
2022-11-23T01:30:19.8911353Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8911416Z             {
2022-11-23T01:30:19.8911557Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8911662Z                 'code': None,
2022-11-23T01:30:19.8911902Z                 'obj_weakref': <weakref at 0x7ff58fc466b0; to 'Tensor' at 0x7ff58f918b80>
2022-11-23T01:30:19.8912156Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8912221Z             }
2022-11-23T01:30:19.8912281Z             
2022-11-23T01:30:19.8912338Z  - 
2022-11-23T01:30:19.8912464Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:30:19.8912524Z             {
2022-11-23T01:30:19.8912655Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8912817Z                 'code': ['___check_obj_id(ex[3], 94571819132608)'],
2022-11-23T01:30:19.8912934Z                 'obj_weakref': None
2022-11-23T01:30:19.8913141Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:19.8913202Z             }
2022-11-23T01:30:19.8913263Z             
2022-11-23T01:30:19.8913332Z  - 
2022-11-23T01:30:19.8913459Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8913523Z             {
2022-11-23T01:30:19.8913652Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8913875Z                 'code': ['___check_obj_id(model, 140692656232992)'],
2022-11-23T01:30:19.8914000Z                 'obj_weakref': None
2022-11-23T01:30:19.8914230Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8914299Z             }
2022-11-23T01:30:19.8914360Z             
2022-11-23T01:30:19.8914427Z  - 
2022-11-23T01:30:19.8914548Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8914597Z             {
2022-11-23T01:30:19.8914731Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8914946Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8915062Z                 'obj_weakref': None
2022-11-23T01:30:19.8915279Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8915342Z             }
2022-11-23T01:30:19.8915404Z             
2022-11-23T01:30:19.8915459Z  - 
2022-11-23T01:30:19.8915590Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8915654Z             {
2022-11-23T01:30:19.8920137Z                 'guard_types': None,
2022-11-23T01:30:19.8920264Z                 'code': None,
2022-11-23T01:30:19.8920386Z                 'obj_weakref': None
2022-11-23T01:30:19.8920509Z                 'guarded_class': None
2022-11-23T01:30:19.8920573Z             }
2022-11-23T01:30:19.8920636Z             
2022-11-23T01:30:19.8920908Z [2022-11-23 01:24:51,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 198
2022-11-23T01:30:19.8921289Z [2022-11-23 01:24:53,292] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pj/cpjlmlm3xpt3sqnzhwajyrns5npln4kctkqmbidlrvchyu56l6io.py
2022-11-23T01:30:19.8921554Z [2022-11-23 01:24:53,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 198
2022-11-23T01:30:19.8921780Z [2022-11-23 01:24:53,296] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8922158Z [2022-11-23 01:24:53,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8922375Z [2022-11-23 01:24:53,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8922628Z [2022-11-23 01:24:53,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8922901Z [2022-11-23 01:24:53,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8923220Z [2022-11-23 01:24:53,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8923568Z [2022-11-23 01:24:53,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8923926Z [2022-11-23 01:24:53,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8924303Z [2022-11-23 01:24:53,297] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:30:19.8924397Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8924480Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:30:19.8924568Z                4 CALL_METHOD              0
2022-11-23T01:30:19.8924657Z                6 STORE_FAST               0 (a)
2022-11-23T01:30:19.8924664Z 
2022-11-23T01:30:19.8924757Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.8924848Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:30:19.8924941Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:30:19.8925042Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:30:19.8925123Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8925213Z               18 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8925298Z               20 BUILD_LIST               1
2022-11-23T01:30:19.8925382Z               22 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8925467Z               24 LOAD_FAST                3 (d)
2022-11-23T01:30:19.8925551Z               26 CALL_METHOD              4
2022-11-23T01:30:19.8925621Z               28 POP_TOP
2022-11-23T01:30:19.8925625Z 
2022-11-23T01:30:19.8925712Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8925776Z               32 RETURN_VALUE
2022-11-23T01:30:19.8925839Z  
2022-11-23T01:30:19.8925843Z 
2022-11-23T01:30:19.8926161Z [2022-11-23 01:24:53,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3525
2022-11-23T01:30:19.8926377Z [2022-11-23 01:24:53,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8926622Z [2022-11-23 01:24:53,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:30:19.8926904Z [2022-11-23 01:24:53,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:30:19.8927140Z [2022-11-23 01:24:53,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.8927453Z [2022-11-23 01:24:53,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3526
2022-11-23T01:30:19.8927669Z [2022-11-23 01:24:53,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8928017Z [2022-11-23 01:24:53,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8928359Z [2022-11-23 01:24:53,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.8928673Z [2022-11-23 01:24:53,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8928928Z [2022-11-23 01:24:53,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:30:19.8929210Z [2022-11-23 01:24:53,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:30:19.8929522Z [2022-11-23 01:24:53,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8929826Z [2022-11-23 01:24:53,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8930190Z [2022-11-23 01:24:53,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8930572Z [2022-11-23 01:24:53,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.8930813Z [2022-11-23 01:24:53,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8931124Z [2022-11-23 01:24:53,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3527
2022-11-23T01:30:19.8931318Z [2022-11-23 01:24:53,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8931563Z [2022-11-23 01:24:53,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8931942Z [2022-11-23 01:24:53,306] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3524>
2022-11-23T01:30:19.8932186Z [2022-11-23 01:24:53,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8932417Z [2022-11-23 01:24:53,306] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8932667Z [2022-11-23 01:24:53,307] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8932915Z [2022-11-23 01:24:53,310] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8933103Z [2022-11-23 01:24:53,310] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8933236Z  __compiled_fn_201 <eval_with_key>.1667 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8933316Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8933399Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8933483Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8933575Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:30:19.8933711Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:30:19.8933805Z output, output, output, ((clone,),), {}
2022-11-23T01:30:19.8933810Z 
2022-11-23T01:30:19.8934135Z [2022-11-23 01:24:53,311] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8934228Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8934305Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8934391Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8934481Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8934564Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8934653Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8934729Z              12 RETURN_VALUE
2022-11-23T01:30:19.8934735Z 
2022-11-23T01:30:19.8934795Z  
2022-11-23T01:30:19.8935129Z [2022-11-23 01:24:53,311] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8935235Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_201)
2022-11-23T01:30:19.8935325Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8935413Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8935490Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8935577Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8935663Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8935736Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8935810Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8935895Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8935997Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8936084Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.8936176Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8936248Z              24 RETURN_VALUE
2022-11-23T01:30:19.8936254Z 
2022-11-23T01:30:19.8936311Z  
2022-11-23T01:30:19.8936719Z [2022-11-23 01:24:53,312] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8936793Z  - 
2022-11-23T01:30:19.8936912Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8936979Z             {
2022-11-23T01:30:19.8937120Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8937306Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:19.8937423Z                 'obj_weakref': None
2022-11-23T01:30:19.8937634Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8937696Z             }
2022-11-23T01:30:19.8937761Z             
2022-11-23T01:30:19.8937827Z  - 
2022-11-23T01:30:19.8937950Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8938013Z             {
2022-11-23T01:30:19.8938155Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8938250Z                 'code': None,
2022-11-23T01:30:19.8938465Z                 'obj_weakref': <weakref at 0x7ff58ff14b30; to 'Tensor' at 0x7ff5a8c58d60>
2022-11-23T01:30:19.8938716Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8938780Z             }
2022-11-23T01:30:19.8938843Z             
2022-11-23T01:30:19.8938911Z  - 
2022-11-23T01:30:19.8939033Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8939083Z             {
2022-11-23T01:30:19.8939222Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8939329Z                 'code': None,
2022-11-23T01:30:19.8939539Z                 'obj_weakref': <weakref at 0x7ff58fc44a90; to 'Tensor' at 0x7ff59c061350>
2022-11-23T01:30:19.8939786Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8939852Z             }
2022-11-23T01:30:19.8939913Z             
2022-11-23T01:30:19.8939969Z  - 
2022-11-23T01:30:19.8940090Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8940152Z             {
2022-11-23T01:30:19.8940291Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8940399Z                 'code': None,
2022-11-23T01:30:19.8940608Z                 'obj_weakref': <weakref at 0x7ff58fc47100; to 'Tensor' at 0x7ff58fe593f0>
2022-11-23T01:30:19.8940856Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8940906Z             }
2022-11-23T01:30:19.8940968Z             
2022-11-23T01:30:19.8941035Z  - 
2022-11-23T01:30:19.8941161Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:30:19.8941224Z             {
2022-11-23T01:30:19.8941356Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8941518Z                 'code': ['___check_obj_id(ex[3], 94571819132640)'],
2022-11-23T01:30:19.8941679Z                 'obj_weakref': None
2022-11-23T01:30:19.8941902Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:19.8941963Z             }
2022-11-23T01:30:19.8942026Z             
2022-11-23T01:30:19.8942092Z  - 
2022-11-23T01:30:19.8942219Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8942281Z             {
2022-11-23T01:30:19.8942399Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8942567Z                 'code': ['___check_obj_id(model, 140692656232992)'],
2022-11-23T01:30:19.8942684Z                 'obj_weakref': None
2022-11-23T01:30:19.8942910Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8942972Z             }
2022-11-23T01:30:19.8943071Z             
2022-11-23T01:30:19.8943140Z  - 
2022-11-23T01:30:19.8943247Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8943309Z             {
2022-11-23T01:30:19.8943445Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8943659Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8943775Z                 'obj_weakref': None
2022-11-23T01:30:19.8943992Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8944055Z             }
2022-11-23T01:30:19.8944104Z             
2022-11-23T01:30:19.8944173Z  - 
2022-11-23T01:30:19.8944306Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8944367Z             {
2022-11-23T01:30:19.8944484Z                 'guard_types': None,
2022-11-23T01:30:19.8944590Z                 'code': None,
2022-11-23T01:30:19.8944703Z                 'obj_weakref': None
2022-11-23T01:30:19.8944813Z                 'guarded_class': None
2022-11-23T01:30:19.8944874Z             }
2022-11-23T01:30:19.8944933Z             
2022-11-23T01:30:19.8945193Z [2022-11-23 01:24:53,317] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 199
2022-11-23T01:30:19.8945564Z [2022-11-23 01:24:53,324] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ha/chaa7sbv67ccoxbg5jmfujdd7ebo2blwagj3ldwunpbxi7xyikm6.py
2022-11-23T01:30:19.8945826Z [2022-11-23 01:24:53,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 199
2022-11-23T01:30:19.8945833Z 
2022-11-23T01:30:19.8945924Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8945992Z import torch
2022-11-23T01:30:19.8946048Z import random
2022-11-23T01:30:19.8946162Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8946282Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8946287Z 
2022-11-23T01:30:19.8946362Z aten = torch.ops.aten
2022-11-23T01:30:19.8946497Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8946588Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8946593Z 
2022-11-23T01:30:19.8946599Z 
2022-11-23T01:30:19.8946730Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8946934Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8947044Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8947139Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8947199Z {
2022-11-23T01:30:19.8947277Z     #pragma GCC ivdep
2022-11-23T01:30:19.8947355Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.8947415Z     {
2022-11-23T01:30:19.8947465Z         {
2022-11-23T01:30:19.8947529Z             {
2022-11-23T01:30:19.8947614Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8947694Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.8947754Z             }
2022-11-23T01:30:19.8947820Z         }
2022-11-23T01:30:19.8947880Z     }
2022-11-23T01:30:19.8947926Z }
2022-11-23T01:30:19.8948001Z ''')
2022-11-23T01:30:19.8948006Z 
2022-11-23T01:30:19.8948010Z 
2022-11-23T01:30:19.8948130Z async_compile.wait(globals())
2022-11-23T01:30:19.8948205Z del async_compile
2022-11-23T01:30:19.8948210Z 
2022-11-23T01:30:19.8948279Z def call(args):
2022-11-23T01:30:19.8948358Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8948428Z     args.clear()
2022-11-23T01:30:19.8948608Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8948738Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8948805Z     del arg0_1
2022-11-23T01:30:19.8948908Z     aten.index_put_(buf0, [arg1_1], arg2_1, False)
2022-11-23T01:30:19.8948973Z     del arg1_1
2022-11-23T01:30:19.8949038Z     del arg2_1
2022-11-23T01:30:19.8949108Z     return (buf0, )
2022-11-23T01:30:19.8949113Z 
2022-11-23T01:30:19.8949117Z 
2022-11-23T01:30:19.8949226Z if __name__ == "__main__":
2022-11-23T01:30:19.8949327Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8949447Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8949643Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8949828Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.8950016Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8950136Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8950141Z 
2022-11-23T01:30:19.8950145Z 
2022-11-23T01:30:19.8950237Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.8950306Z import torch
2022-11-23T01:30:19.8950363Z import random
2022-11-23T01:30:19.8950475Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.8950590Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.8950595Z 
2022-11-23T01:30:19.8950672Z aten = torch.ops.aten
2022-11-23T01:30:19.8950805Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.8950894Z async_compile = AsyncCompile()
2022-11-23T01:30:19.8950899Z 
2022-11-23T01:30:19.8950906Z 
2022-11-23T01:30:19.8951036Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.8951242Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.8951347Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.8951445Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.8951505Z {
2022-11-23T01:30:19.8951581Z     #pragma GCC ivdep
2022-11-23T01:30:19.8951659Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:19.8951720Z     {
2022-11-23T01:30:19.8951781Z         {
2022-11-23T01:30:19.8951832Z             {
2022-11-23T01:30:19.8951921Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.8952001Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.8952064Z             }
2022-11-23T01:30:19.8952125Z         }
2022-11-23T01:30:19.8952186Z     }
2022-11-23T01:30:19.8952233Z }
2022-11-23T01:30:19.8952309Z ''')
2022-11-23T01:30:19.8952314Z 
2022-11-23T01:30:19.8952320Z 
2022-11-23T01:30:19.8952406Z async_compile.wait(globals())
2022-11-23T01:30:19.8952476Z del async_compile
2022-11-23T01:30:19.8952481Z 
2022-11-23T01:30:19.8952549Z def call(args):
2022-11-23T01:30:19.8952631Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.8952701Z     args.clear()
2022-11-23T01:30:19.8952891Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8953012Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.8953078Z     del arg0_1
2022-11-23T01:30:19.8953181Z     aten.index_put_(buf0, [arg1_1], arg2_1, True)
2022-11-23T01:30:19.8953246Z     del arg1_1
2022-11-23T01:30:19.8953311Z     del arg2_1
2022-11-23T01:30:19.8953382Z     return (buf0, )
2022-11-23T01:30:19.8953386Z 
2022-11-23T01:30:19.8953392Z 
2022-11-23T01:30:19.8953467Z if __name__ == "__main__":
2022-11-23T01:30:19.8953566Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.8953714Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.8954002Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8954186Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.8954374Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.8954493Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.8954498Z 
2022-11-23T01:30:19.8954565Z ok (1.479s)
2022-11-23T01:30:19.8954894Z   test_index_put_fallback2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:53,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8955201Z [2022-11-23 01:24:53,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8955450Z [2022-11-23 01:24:53,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8955706Z [2022-11-23 01:24:53,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8955982Z [2022-11-23 01:24:53,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8956299Z [2022-11-23 01:24:53,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8956643Z [2022-11-23 01:24:53,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8956962Z [2022-11-23 01:24:53,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8957344Z [2022-11-23 01:24:53,330] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:30:19.8957434Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8957527Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:30:19.8957602Z                4 CALL_METHOD              0
2022-11-23T01:30:19.8957694Z                6 STORE_FAST               0 (a)
2022-11-23T01:30:19.8957699Z 
2022-11-23T01:30:19.8957796Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.8957883Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:30:19.8957972Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:30:19.8958072Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:30:19.8958159Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8958249Z               18 LOAD_CONST               0 (None)
2022-11-23T01:30:19.8958325Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8958413Z               22 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8958501Z               24 BUILD_LIST               3
2022-11-23T01:30:19.8958587Z               26 LOAD_FAST                3 (d)
2022-11-23T01:30:19.8958672Z               28 LOAD_FAST                4 (e)
2022-11-23T01:30:19.8958757Z               30 CALL_METHOD              4
2022-11-23T01:30:19.8958826Z               32 POP_TOP
2022-11-23T01:30:19.8958831Z 
2022-11-23T01:30:19.8958904Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8958980Z               36 RETURN_VALUE
2022-11-23T01:30:19.8959038Z  
2022-11-23T01:30:19.8959043Z 
2022-11-23T01:30:19.8959359Z [2022-11-23 01:24:53,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T01:30:19.8959568Z [2022-11-23 01:24:53,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8959814Z [2022-11-23 01:24:53,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:30:19.8960119Z [2022-11-23 01:24:53,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:30:19.8960355Z [2022-11-23 01:24:53,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.8960667Z [2022-11-23 01:24:53,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T01:30:19.8960869Z [2022-11-23 01:24:53,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8961227Z [2022-11-23 01:24:53,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8961518Z [2022-11-23 01:24:53,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.8961858Z [2022-11-23 01:24:53,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8962114Z [2022-11-23 01:24:53,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:30:19.8962405Z [2022-11-23 01:24:53,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:30:19.8962734Z [2022-11-23 01:24:53,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.8963089Z [2022-11-23 01:24:53,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:30:19.8963484Z [2022-11-23 01:24:53,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8963797Z [2022-11-23 01:24:53,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8964132Z [2022-11-23 01:24:53,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8964499Z [2022-11-23 01:24:53,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.8964738Z [2022-11-23 01:24:53,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8965049Z [2022-11-23 01:24:53,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T01:30:19.8965257Z [2022-11-23 01:24:53,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8965500Z [2022-11-23 01:24:53,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8965879Z [2022-11-23 01:24:53,339] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T01:30:19.8966122Z [2022-11-23 01:24:53,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8966353Z [2022-11-23 01:24:53,339] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8966604Z [2022-11-23 01:24:53,340] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8966849Z [2022-11-23 01:24:53,343] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8967051Z [2022-11-23 01:24:53,344] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8967186Z  __compiled_fn_202 <eval_with_key>.1673 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8967275Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8967360Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8967445Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8967528Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:19.8967618Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:30:19.8967754Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, False), {}
2022-11-23T01:30:19.8967850Z output, output, output, ((clone,),), {}
2022-11-23T01:30:19.8967856Z 
2022-11-23T01:30:19.8968179Z [2022-11-23 01:24:53,344] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8968300Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8968389Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8968477Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8968565Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8968647Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8968724Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8968798Z              12 RETURN_VALUE
2022-11-23T01:30:19.8968803Z 
2022-11-23T01:30:19.8968864Z  
2022-11-23T01:30:19.8969192Z [2022-11-23 01:24:53,344] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8969297Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_202)
2022-11-23T01:30:19.8969384Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8969471Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8969549Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8969624Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8969712Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8969787Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8969873Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8969958Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8970032Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8970116Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8970188Z              22 LOAD_CONST               4 (3)
2022-11-23T01:30:19.8970261Z              24 BINARY_SUBSCR
2022-11-23T01:30:19.8970346Z              26 CALL_FUNCTION            4
2022-11-23T01:30:19.8970435Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8970507Z              30 RETURN_VALUE
2022-11-23T01:30:19.8970512Z 
2022-11-23T01:30:19.8970571Z  
2022-11-23T01:30:19.8970752Z [2022-11-23 01:24:53,345] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8970811Z  - 
2022-11-23T01:30:19.8970930Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8970994Z             {
2022-11-23T01:30:19.8971134Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8971318Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 5'],
2022-11-23T01:30:19.8971436Z                 'obj_weakref': None
2022-11-23T01:30:19.8971659Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8971710Z             }
2022-11-23T01:30:19.8971772Z             
2022-11-23T01:30:19.8971839Z  - 
2022-11-23T01:30:19.8971961Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8972023Z             {
2022-11-23T01:30:19.8972161Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8972265Z                 'code': None,
2022-11-23T01:30:19.8972464Z                 'obj_weakref': <weakref at 0x7ff59c18cb30; to 'Tensor' at 0x7ff58fe593f0>
2022-11-23T01:30:19.8972719Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8972781Z             }
2022-11-23T01:30:19.8972883Z             
2022-11-23T01:30:19.8972955Z  - 
2022-11-23T01:30:19.8973077Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8973139Z             {
2022-11-23T01:30:19.8973267Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8973373Z                 'code': None,
2022-11-23T01:30:19.8973580Z                 'obj_weakref': <weakref at 0x7ff5a83c65c0; to 'Tensor' at 0x7ff58ff15f30>
2022-11-23T01:30:19.8973833Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8973894Z             }
2022-11-23T01:30:19.8973956Z             
2022-11-23T01:30:19.8974023Z  - 
2022-11-23T01:30:19.8974132Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.8974196Z             {
2022-11-23T01:30:19.8974362Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8974467Z                 'code': None,
2022-11-23T01:30:19.8974678Z                 'obj_weakref': <weakref at 0x7ff5a83c40e0; to 'Tensor' at 0x7ff58ff16020>
2022-11-23T01:30:19.8974930Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8974993Z             }
2022-11-23T01:30:19.8975043Z             
2022-11-23T01:30:19.8975109Z  - 
2022-11-23T01:30:19.8975233Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:19.8975295Z             {
2022-11-23T01:30:19.8975439Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8975545Z                 'code': None,
2022-11-23T01:30:19.8975754Z                 'obj_weakref': <weakref at 0x7ff58fcb9760; to 'Tensor' at 0x7ff58ff140e0>
2022-11-23T01:30:19.8975999Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8976052Z             }
2022-11-23T01:30:19.8976115Z             
2022-11-23T01:30:19.8976182Z  - 
2022-11-23T01:30:19.8976309Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:30:19.8976375Z             {
2022-11-23T01:30:19.8976636Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8976789Z                 'code': ['___check_obj_id(ex[4], 94571819132608)'],
2022-11-23T01:30:19.8976906Z                 'obj_weakref': None
2022-11-23T01:30:19.8977126Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:19.8977188Z             }
2022-11-23T01:30:19.8977250Z             
2022-11-23T01:30:19.8977318Z  - 
2022-11-23T01:30:19.8977445Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.8977495Z             {
2022-11-23T01:30:19.8977626Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.8977794Z                 'code': ['___check_obj_id(model, 140693068981312)'],
2022-11-23T01:30:19.8977915Z                 'obj_weakref': None
2022-11-23T01:30:19.8978143Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.8978206Z             }
2022-11-23T01:30:19.8978269Z             
2022-11-23T01:30:19.8978325Z  - 
2022-11-23T01:30:19.8978443Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.8978505Z             {
2022-11-23T01:30:19.8978641Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.8978856Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.8978970Z                 'obj_weakref': None
2022-11-23T01:30:19.8979186Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.8979237Z             }
2022-11-23T01:30:19.8979298Z             
2022-11-23T01:30:19.8979366Z  - 
2022-11-23T01:30:19.8979496Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.8979557Z             {
2022-11-23T01:30:19.8979677Z                 'guard_types': None,
2022-11-23T01:30:19.8979780Z                 'code': None,
2022-11-23T01:30:19.8979884Z                 'obj_weakref': None
2022-11-23T01:30:19.8980049Z                 'guarded_class': None
2022-11-23T01:30:19.8980111Z             }
2022-11-23T01:30:19.8980173Z             
2022-11-23T01:30:19.8980434Z [2022-11-23 01:24:53,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 200
2022-11-23T01:30:19.8980810Z [2022-11-23 01:24:54,747] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/of/cofuwhexr5m3ozotg2vi6lytwb5otwkukwakygnsbovczboj5srr.py
2022-11-23T01:30:19.8981072Z [2022-11-23 01:24:54,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 200
2022-11-23T01:30:19.8981308Z [2022-11-23 01:24:54,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.8981611Z [2022-11-23 01:24:54,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.8981863Z [2022-11-23 01:24:54,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.8982111Z [2022-11-23 01:24:54,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.8982387Z [2022-11-23 01:24:54,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.8982708Z [2022-11-23 01:24:54,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8983052Z [2022-11-23 01:24:54,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8983374Z [2022-11-23 01:24:54,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.8983751Z [2022-11-23 01:24:54,753] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:30:19.8983848Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8983942Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:30:19.8984017Z                4 CALL_METHOD              0
2022-11-23T01:30:19.8984107Z                6 STORE_FAST               0 (a)
2022-11-23T01:30:19.8984113Z 
2022-11-23T01:30:19.8984208Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:19.8984297Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:30:19.8984386Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:30:19.8984484Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:30:19.8984571Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8984652Z               18 LOAD_CONST               0 (None)
2022-11-23T01:30:19.8984738Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.8984827Z               22 LOAD_FAST                2 (c)
2022-11-23T01:30:19.8984914Z               24 BUILD_LIST               3
2022-11-23T01:30:19.8984998Z               26 LOAD_FAST                3 (d)
2022-11-23T01:30:19.8985081Z               28 LOAD_FAST                4 (e)
2022-11-23T01:30:19.8985167Z               30 CALL_METHOD              4
2022-11-23T01:30:19.8985237Z               32 POP_TOP
2022-11-23T01:30:19.8985242Z 
2022-11-23T01:30:19.8985314Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:30:19.8985387Z               36 RETURN_VALUE
2022-11-23T01:30:19.8985446Z  
2022-11-23T01:30:19.8985450Z 
2022-11-23T01:30:19.8985767Z [2022-11-23 01:24:54,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3551
2022-11-23T01:30:19.8985979Z [2022-11-23 01:24:54,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8986251Z [2022-11-23 01:24:54,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:30:19.8986533Z [2022-11-23 01:24:54,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:30:19.8986770Z [2022-11-23 01:24:54,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.8987069Z [2022-11-23 01:24:54,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3552
2022-11-23T01:30:19.8987284Z [2022-11-23 01:24:54,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.8987642Z [2022-11-23 01:24:54,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.8987957Z [2022-11-23 01:24:54,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.8988269Z [2022-11-23 01:24:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.8988528Z [2022-11-23 01:24:54,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:30:19.8988816Z [2022-11-23 01:24:54,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:30:19.8989146Z [2022-11-23 01:24:54,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:19.8989503Z [2022-11-23 01:24:54,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:30:19.8989898Z [2022-11-23 01:24:54,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.8990207Z [2022-11-23 01:24:54,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.8990542Z [2022-11-23 01:24:54,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.8990908Z [2022-11-23 01:24:54,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:19.8991145Z [2022-11-23 01:24:54,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.8991455Z [2022-11-23 01:24:54,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3553
2022-11-23T01:30:19.8991662Z [2022-11-23 01:24:54,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.8991905Z [2022-11-23 01:24:54,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8992282Z [2022-11-23 01:24:54,764] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3550>
2022-11-23T01:30:19.8992529Z [2022-11-23 01:24:54,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.8992760Z [2022-11-23 01:24:54,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.8993010Z [2022-11-23 01:24:54,765] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.8993259Z [2022-11-23 01:24:54,768] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.8993460Z [2022-11-23 01:24:54,769] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.8993596Z  __compiled_fn_203 <eval_with_key>.1679 opcode, name, target, args, kwargs
2022-11-23T01:30:19.8993683Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.8993767Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.8993927Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.8994013Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:19.8994106Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:30:19.8994241Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, True), {}
2022-11-23T01:30:19.8994336Z output, output, output, ((clone,),), {}
2022-11-23T01:30:19.8994342Z 
2022-11-23T01:30:19.8994668Z [2022-11-23 01:24:54,769] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8994796Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.8994889Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8994974Z               4 BUILD_MAP                0
2022-11-23T01:30:19.8995067Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.8995151Z               8 DICT_MERGE               1
2022-11-23T01:30:19.8995226Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.8995301Z              12 RETURN_VALUE
2022-11-23T01:30:19.8995307Z 
2022-11-23T01:30:19.8995366Z  
2022-11-23T01:30:19.8995690Z [2022-11-23 01:24:54,769] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.8995796Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_203)
2022-11-23T01:30:19.8995883Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8995975Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.8996051Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.8996127Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8996216Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.8996288Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.8996372Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8996455Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.8996530Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.8996615Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.8996688Z              22 LOAD_CONST               4 (3)
2022-11-23T01:30:19.8996763Z              24 BINARY_SUBSCR
2022-11-23T01:30:19.8996850Z              26 CALL_FUNCTION            4
2022-11-23T01:30:19.8996939Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.8997012Z              30 RETURN_VALUE
2022-11-23T01:30:19.8997017Z 
2022-11-23T01:30:19.8997079Z  
2022-11-23T01:30:19.8997259Z [2022-11-23 01:24:54,770] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.8997315Z  - 
2022-11-23T01:30:19.8997432Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.8997497Z             {
2022-11-23T01:30:19.8997636Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.8997821Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 5'],
2022-11-23T01:30:19.8997939Z                 'obj_weakref': None
2022-11-23T01:30:19.8998160Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.8998213Z             }
2022-11-23T01:30:19.8998272Z             
2022-11-23T01:30:19.8998341Z  - 
2022-11-23T01:30:19.8998464Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.8998525Z             {
2022-11-23T01:30:19.8998663Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8998767Z                 'code': None,
2022-11-23T01:30:19.8998968Z                 'obj_weakref': <weakref at 0x7ff58fcbb560; to 'Tensor' at 0x7ff58fe593f0>
2022-11-23T01:30:19.8999248Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.8999313Z             }
2022-11-23T01:30:19.8999377Z             
2022-11-23T01:30:19.8999445Z  - 
2022-11-23T01:30:19.8999565Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.8999627Z             {
2022-11-23T01:30:19.8999755Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.8999858Z                 'code': None,
2022-11-23T01:30:19.9000065Z                 'obj_weakref': <weakref at 0x7ff58f9c3470; to 'Tensor' at 0x7ff59c0d2750>
2022-11-23T01:30:19.9000316Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9000379Z             }
2022-11-23T01:30:19.9000440Z             
2022-11-23T01:30:19.9000507Z  - 
2022-11-23T01:30:19.9000617Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.9000704Z             {
2022-11-23T01:30:19.9000844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9000950Z                 'code': None,
2022-11-23T01:30:19.9001161Z                 'obj_weakref': <weakref at 0x7ff58fd27dd0; to 'Tensor' at 0x7ff58ff14090>
2022-11-23T01:30:19.9001411Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9001472Z             }
2022-11-23T01:30:19.9001522Z             
2022-11-23T01:30:19.9001590Z  - 
2022-11-23T01:30:19.9001711Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:19.9001773Z             {
2022-11-23T01:30:19.9001912Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9002016Z                 'code': None,
2022-11-23T01:30:19.9002221Z                 'obj_weakref': <weakref at 0x7ff58fd25620; to 'Tensor' at 0x7ff58ff15f30>
2022-11-23T01:30:19.9002458Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9002522Z             }
2022-11-23T01:30:19.9002585Z             
2022-11-23T01:30:19.9002653Z  - 
2022-11-23T01:30:19.9002782Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:30:19.9002844Z             {
2022-11-23T01:30:19.9002975Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9003127Z                 'code': ['___check_obj_id(ex[4], 94571819132640)'],
2022-11-23T01:30:19.9003245Z                 'obj_weakref': None
2022-11-23T01:30:19.9003462Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:19.9003523Z             }
2022-11-23T01:30:19.9003583Z             
2022-11-23T01:30:19.9003647Z  - 
2022-11-23T01:30:19.9003775Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9003826Z             {
2022-11-23T01:30:19.9003957Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9004122Z                 'code': ['___check_obj_id(model, 140693068981312)'],
2022-11-23T01:30:19.9004241Z                 'obj_weakref': None
2022-11-23T01:30:19.9004468Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9004530Z             }
2022-11-23T01:30:19.9004592Z             
2022-11-23T01:30:19.9004647Z  - 
2022-11-23T01:30:19.9004765Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9004829Z             {
2022-11-23T01:30:19.9004961Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9005176Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9005290Z                 'obj_weakref': None
2022-11-23T01:30:19.9005504Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9005553Z             }
2022-11-23T01:30:19.9005614Z             
2022-11-23T01:30:19.9005680Z  - 
2022-11-23T01:30:19.9005810Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9005874Z             {
2022-11-23T01:30:19.9005989Z                 'guard_types': None,
2022-11-23T01:30:19.9006094Z                 'code': None,
2022-11-23T01:30:19.9006224Z                 'obj_weakref': None
2022-11-23T01:30:19.9006345Z                 'guarded_class': None
2022-11-23T01:30:19.9006409Z             }
2022-11-23T01:30:19.9006472Z             
2022-11-23T01:30:19.9006729Z [2022-11-23 01:24:54,776] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 201
2022-11-23T01:30:19.9007093Z [2022-11-23 01:24:54,783] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbbtcxmbunmik7e2h5xin735xm4hrduk6cmqewn62y5cbazs5uk.py
2022-11-23T01:30:19.9007350Z [2022-11-23 01:24:54,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 201
2022-11-23T01:30:19.9007355Z 
2022-11-23T01:30:19.9007449Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9007504Z import torch
2022-11-23T01:30:19.9007625Z import random
2022-11-23T01:30:19.9007738Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9007857Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9007864Z 
2022-11-23T01:30:19.9007940Z aten = torch.ops.aten
2022-11-23T01:30:19.9008072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9008164Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9008169Z 
2022-11-23T01:30:19.9008174Z 
2022-11-23T01:30:19.9008307Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9008499Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9008617Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9008714Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.9008775Z {
2022-11-23T01:30:19.9008873Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9008933Z     {
2022-11-23T01:30:19.9009010Z         #pragma omp for 
2022-11-23T01:30:19.9009081Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:19.9009146Z         {
2022-11-23T01:30:19.9009207Z             {
2022-11-23T01:30:19.9009272Z                 {
2022-11-23T01:30:19.9009367Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9009450Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.9009502Z                 }
2022-11-23T01:30:19.9009562Z             }
2022-11-23T01:30:19.9009624Z         }
2022-11-23T01:30:19.9009684Z     }
2022-11-23T01:30:19.9009742Z }
2022-11-23T01:30:19.9009818Z ''')
2022-11-23T01:30:19.9009823Z 
2022-11-23T01:30:19.9009827Z 
2022-11-23T01:30:19.9009914Z async_compile.wait(globals())
2022-11-23T01:30:19.9009972Z del async_compile
2022-11-23T01:30:19.9009988Z 
2022-11-23T01:30:19.9010045Z def call(args):
2022-11-23T01:30:19.9010133Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:19.9010200Z     args.clear()
2022-11-23T01:30:19.9010403Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9010535Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.9010603Z     del arg0_1
2022-11-23T01:30:19.9010721Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False)
2022-11-23T01:30:19.9010777Z     del arg1_1
2022-11-23T01:30:19.9010840Z     del arg2_1
2022-11-23T01:30:19.9010907Z     del arg3_1
2022-11-23T01:30:19.9010977Z     return (buf0, )
2022-11-23T01:30:19.9010982Z 
2022-11-23T01:30:19.9010986Z 
2022-11-23T01:30:19.9011060Z if __name__ == "__main__":
2022-11-23T01:30:19.9011172Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9011292Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9011482Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9011666Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.9011850Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.9012033Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9012188Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:19.9012194Z 
2022-11-23T01:30:19.9012199Z 
2022-11-23T01:30:19.9012291Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9012359Z import torch
2022-11-23T01:30:19.9012427Z import random
2022-11-23T01:30:19.9012527Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9012643Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9012648Z 
2022-11-23T01:30:19.9012723Z aten = torch.ops.aten
2022-11-23T01:30:19.9012854Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9012946Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9012950Z 
2022-11-23T01:30:19.9012955Z 
2022-11-23T01:30:19.9013086Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9013289Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9013438Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9013527Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.9013586Z {
2022-11-23T01:30:19.9013681Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9013740Z     {
2022-11-23T01:30:19.9013814Z         #pragma omp for 
2022-11-23T01:30:19.9013894Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:19.9013954Z         {
2022-11-23T01:30:19.9014003Z             {
2022-11-23T01:30:19.9014065Z                 {
2022-11-23T01:30:19.9014153Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9014237Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:30:19.9014300Z                 }
2022-11-23T01:30:19.9014362Z             }
2022-11-23T01:30:19.9014411Z         }
2022-11-23T01:30:19.9014472Z     }
2022-11-23T01:30:19.9014530Z }
2022-11-23T01:30:19.9014606Z ''')
2022-11-23T01:30:19.9014612Z 
2022-11-23T01:30:19.9014618Z 
2022-11-23T01:30:19.9014707Z async_compile.wait(globals())
2022-11-23T01:30:19.9014777Z del async_compile
2022-11-23T01:30:19.9014781Z 
2022-11-23T01:30:19.9014849Z def call(args):
2022-11-23T01:30:19.9014937Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:19.9014995Z     args.clear()
2022-11-23T01:30:19.9015197Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9015329Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.9015398Z     del arg0_1
2022-11-23T01:30:19.9015512Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True)
2022-11-23T01:30:19.9015583Z     del arg1_1
2022-11-23T01:30:19.9015647Z     del arg2_1
2022-11-23T01:30:19.9015700Z     del arg3_1
2022-11-23T01:30:19.9015770Z     return (buf0, )
2022-11-23T01:30:19.9015774Z 
2022-11-23T01:30:19.9015778Z 
2022-11-23T01:30:19.9015855Z if __name__ == "__main__":
2022-11-23T01:30:19.9015965Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9016086Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9016288Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9016641Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.9016858Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.9017029Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9017157Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:19.9017163Z 
2022-11-23T01:30:19.9017228Z ok (1.460s)
2022-11-23T01:30:19.9017540Z   test_index_select_cpu (__main__.CpuTests) ... [2022-11-23 01:24:54,788] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9017858Z [2022-11-23 01:24:54,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9018077Z [2022-11-23 01:24:54,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9018404Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9018683Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9018999Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9019333Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9019652Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9020025Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f79f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:30:19.9020158Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9020261Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:30:19.9020351Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9020442Z                6 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9020530Z                8 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9020609Z               10 CALL_METHOD              3
2022-11-23T01:30:19.9020624Z 
2022-11-23T01:30:19.9020706Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9020806Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:30:19.9020895Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9020981Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9021066Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9021151Z               22 CALL_METHOD              3
2022-11-23T01:30:19.9021156Z 
2022-11-23T01:30:19.9021249Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9021335Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:30:19.9021426Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9021521Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:30:19.9021606Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9021691Z               34 LOAD_CONST               3 (2)
2022-11-23T01:30:19.9021775Z               36 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9021859Z               38 CALL_METHOD              3
2022-11-23T01:30:19.9021942Z               40 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9022013Z               42 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9022100Z               44 CALL_METHOD              3
2022-11-23T01:30:19.9022107Z 
2022-11-23T01:30:19.9022192Z 2849          46 BUILD_TUPLE              3
2022-11-23T01:30:19.9022267Z               48 RETURN_VALUE
2022-11-23T01:30:19.9022330Z  
2022-11-23T01:30:19.9022337Z 
2022-11-23T01:30:19.9022649Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T01:30:19.9022867Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9023243Z [2022-11-23 01:24:54,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9023562Z [2022-11-23 01:24:54,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9023917Z [2022-11-23 01:24:54,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9024343Z [2022-11-23 01:24:54,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9024777Z [2022-11-23 01:24:54,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9025087Z [2022-11-23 01:24:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T01:30:19.9025341Z [2022-11-23 01:24:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.9025735Z [2022-11-23 01:24:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9026120Z [2022-11-23 01:24:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9026506Z [2022-11-23 01:24:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9026926Z [2022-11-23 01:24:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9027381Z [2022-11-23 01:24:54,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9027696Z [2022-11-23 01:24:54,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T01:30:19.9027963Z [2022-11-23 01:24:54,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9028390Z [2022-11-23 01:24:54,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9028783Z [2022-11-23 01:24:54,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9029343Z [2022-11-23 01:24:54,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9029852Z [2022-11-23 01:24:54,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9030390Z [2022-11-23 01:24:54,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9030989Z [2022-11-23 01:24:54,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9031600Z [2022-11-23 01:24:54,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9032012Z [2022-11-23 01:24:54,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9032463Z [2022-11-23 01:24:54,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9032975Z [2022-11-23 01:24:54,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9033287Z [2022-11-23 01:24:54,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T01:30:19.9033644Z [2022-11-23 01:24:54,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9033954Z [2022-11-23 01:24:54,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9034334Z [2022-11-23 01:24:54,794] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f79f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T01:30:19.9034583Z [2022-11-23 01:24:54,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9034814Z [2022-11-23 01:24:54,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9035067Z [2022-11-23 01:24:54,796] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9035316Z [2022-11-23 01:24:54,799] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9035508Z [2022-11-23 01:24:54,799] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9035644Z  __compiled_fn_204 <eval_with_key>.1685 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9035734Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9035806Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9036072Z call_function, index_select, <built-in method index_select of type object at 0x7ff5d7c59c60>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:30:19.9036336Z call_function, index_select_1, <built-in method index_select of type object at 0x7ff5d7c59c60>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:30:19.9036591Z call_function, index_select_2, <built-in method index_select of type object at 0x7ff5d7c59c60>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:30:19.9036864Z call_function, index_select_3, <built-in method index_select of type object at 0x7ff5d7c59c60>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:30:19.9037006Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:30:19.9037012Z 
2022-11-23T01:30:19.9037338Z [2022-11-23 01:24:54,800] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9037433Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9037524Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9037601Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9037695Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9037817Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9037912Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9037989Z              12 RETURN_VALUE
2022-11-23T01:30:19.9037995Z 
2022-11-23T01:30:19.9038056Z  
2022-11-23T01:30:19.9038381Z [2022-11-23 01:24:54,800] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9038490Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_204)
2022-11-23T01:30:19.9038569Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9038659Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9038738Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9038827Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9038914Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9039018Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9039106Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9039198Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9039299Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9039389Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9039465Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9039565Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9039653Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9039729Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.9039814Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9039902Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.9039976Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.9040064Z              36 BUILD_TUPLE              3
2022-11-23T01:30:19.9040142Z              38 RETURN_VALUE
2022-11-23T01:30:19.9040147Z 
2022-11-23T01:30:19.9040207Z  
2022-11-23T01:30:19.9040391Z [2022-11-23 01:24:54,801] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9040450Z  - 
2022-11-23T01:30:19.9040570Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9040638Z             {
2022-11-23T01:30:19.9040780Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9040966Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9041085Z                 'obj_weakref': None
2022-11-23T01:30:19.9041310Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9041374Z             }
2022-11-23T01:30:19.9041426Z             
2022-11-23T01:30:19.9041497Z  - 
2022-11-23T01:30:19.9041622Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9041686Z             {
2022-11-23T01:30:19.9041827Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9041934Z                 'code': None,
2022-11-23T01:30:19.9042134Z                 'obj_weakref': <weakref at 0x7ff58fd26b60; to 'Tensor' at 0x7ff59c18f3d0>
2022-11-23T01:30:19.9042387Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9042448Z             }
2022-11-23T01:30:19.9042510Z             
2022-11-23T01:30:19.9042582Z  - 
2022-11-23T01:30:19.9042706Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9042766Z             {
2022-11-23T01:30:19.9042894Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9042998Z                 'code': None,
2022-11-23T01:30:19.9043208Z                 'obj_weakref': <weakref at 0x7ff58fd24a40; to 'Tensor' at 0x7ff5a8c58b30>
2022-11-23T01:30:19.9043463Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9043525Z             }
2022-11-23T01:30:19.9043587Z             
2022-11-23T01:30:19.9043656Z  - 
2022-11-23T01:30:19.9043791Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9043884Z             {
2022-11-23T01:30:19.9044111Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9044285Z                 'code': ['___check_obj_id(model, 140693062691584)'],
2022-11-23T01:30:19.9044401Z                 'obj_weakref': None
2022-11-23T01:30:19.9044627Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9044689Z             }
2022-11-23T01:30:19.9044749Z             
2022-11-23T01:30:19.9044805Z  - 
2022-11-23T01:30:19.9044923Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9044985Z             {
2022-11-23T01:30:19.9045117Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9045330Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9045445Z                 'obj_weakref': None
2022-11-23T01:30:19.9045688Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9045738Z             }
2022-11-23T01:30:19.9045798Z             
2022-11-23T01:30:19.9045868Z  - 
2022-11-23T01:30:19.9045998Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9046058Z             {
2022-11-23T01:30:19.9046173Z                 'guard_types': None,
2022-11-23T01:30:19.9046265Z                 'code': None,
2022-11-23T01:30:19.9046378Z                 'obj_weakref': None
2022-11-23T01:30:19.9046496Z                 'guarded_class': None
2022-11-23T01:30:19.9046556Z             }
2022-11-23T01:30:19.9046620Z             
2022-11-23T01:30:19.9046877Z [2022-11-23 01:24:54,811] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 202
2022-11-23T01:30:19.9047242Z [2022-11-23 01:24:56,295] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cflrdsfptcz2rk2t3r62hriwpz5dlxshxs7f4kwjtueuykeanjeq.py
2022-11-23T01:30:19.9047504Z [2022-11-23 01:24:56,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 202
2022-11-23T01:30:19.9047728Z [2022-11-23 01:24:56,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9048037Z [2022-11-23 01:24:56,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9048251Z [2022-11-23 01:24:56,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9048501Z [2022-11-23 01:24:56,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9048777Z [2022-11-23 01:24:56,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9049095Z [2022-11-23 01:24:56,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9049442Z [2022-11-23 01:24:56,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9049761Z [2022-11-23 01:24:56,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9050136Z [2022-11-23 01:24:56,300] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f79f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:30:19.9050230Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9050321Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:30:19.9050410Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9050497Z                6 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9050583Z                8 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9050671Z               10 CALL_METHOD              3
2022-11-23T01:30:19.9050677Z 
2022-11-23T01:30:19.9050768Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9050899Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:30:19.9050985Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9051059Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9051142Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9051229Z               22 CALL_METHOD              3
2022-11-23T01:30:19.9051234Z 
2022-11-23T01:30:19.9051322Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9051420Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:30:19.9051511Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9051608Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:30:19.9051682Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9051793Z               34 LOAD_CONST               3 (2)
2022-11-23T01:30:19.9051878Z               36 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9051965Z               38 CALL_METHOD              3
2022-11-23T01:30:19.9052049Z               40 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9052131Z               42 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9052214Z               44 CALL_METHOD              3
2022-11-23T01:30:19.9052219Z 
2022-11-23T01:30:19.9052303Z 2849          46 BUILD_TUPLE              3
2022-11-23T01:30:19.9052366Z               48 RETURN_VALUE
2022-11-23T01:30:19.9052427Z  
2022-11-23T01:30:19.9052432Z 
2022-11-23T01:30:19.9052746Z [2022-11-23 01:24:56,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2850
2022-11-23T01:30:19.9052963Z [2022-11-23 01:24:56,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9053337Z [2022-11-23 01:24:56,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9053669Z [2022-11-23 01:24:56,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9054026Z [2022-11-23 01:24:56,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9054417Z [2022-11-23 01:24:56,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9054852Z [2022-11-23 01:24:56,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9055166Z [2022-11-23 01:24:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2851
2022-11-23T01:30:19.9055408Z [2022-11-23 01:24:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.9055797Z [2022-11-23 01:24:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9056152Z [2022-11-23 01:24:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9056674Z [2022-11-23 01:24:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9057149Z [2022-11-23 01:24:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9057606Z [2022-11-23 01:24:56,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9057917Z [2022-11-23 01:24:56,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2852
2022-11-23T01:30:19.9058190Z [2022-11-23 01:24:56,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9058625Z [2022-11-23 01:24:56,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9059059Z [2022-11-23 01:24:56,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9059619Z [2022-11-23 01:24:56,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9060128Z [2022-11-23 01:24:56,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9060670Z [2022-11-23 01:24:56,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9061248Z [2022-11-23 01:24:56,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9061853Z [2022-11-23 01:24:56,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9062275Z [2022-11-23 01:24:56,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9062726Z [2022-11-23 01:24:56,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9063218Z [2022-11-23 01:24:56,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9063530Z [2022-11-23 01:24:56,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2849
2022-11-23T01:30:19.9063823Z [2022-11-23 01:24:56,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9064097Z [2022-11-23 01:24:56,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9064477Z [2022-11-23 01:24:56,305] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f79f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2848>
2022-11-23T01:30:19.9064719Z [2022-11-23 01:24:56,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9064950Z [2022-11-23 01:24:56,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9065199Z [2022-11-23 01:24:56,307] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9065444Z [2022-11-23 01:24:56,310] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9065657Z [2022-11-23 01:24:56,310] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9065791Z  __compiled_fn_205 <eval_with_key>.1691 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9065879Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9065952Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9066216Z call_function, index_select, <built-in method index_select of type object at 0x7ff5d7c59c60>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:30:19.9066477Z call_function, index_select_1, <built-in method index_select of type object at 0x7ff5d7c59c60>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:30:19.9066734Z call_function, index_select_2, <built-in method index_select of type object at 0x7ff5d7c59c60>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:30:19.9067009Z call_function, index_select_3, <built-in method index_select of type object at 0x7ff5d7c59c60>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:30:19.9067149Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:30:19.9067158Z 
2022-11-23T01:30:19.9067488Z [2022-11-23 01:24:56,311] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9067581Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9067670Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9067743Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9067833Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9067916Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9068001Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9068075Z              12 RETURN_VALUE
2022-11-23T01:30:19.9068081Z 
2022-11-23T01:30:19.9068140Z  
2022-11-23T01:30:19.9068459Z [2022-11-23 01:24:56,311] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9068567Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_205)
2022-11-23T01:30:19.9068645Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9068733Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9068809Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9068895Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9068980Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9069053Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9069137Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9069228Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9069326Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9069414Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9069489Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9069588Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9069677Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9069749Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.9069835Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9069946Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:19.9070022Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.9070106Z              36 BUILD_TUPLE              3
2022-11-23T01:30:19.9070179Z              38 RETURN_VALUE
2022-11-23T01:30:19.9070185Z 
2022-11-23T01:30:19.9070243Z  
2022-11-23T01:30:19.9070430Z [2022-11-23 01:24:56,312] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9070486Z  - 
2022-11-23T01:30:19.9070603Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9070665Z             {
2022-11-23T01:30:19.9070805Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9070989Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9071107Z                 'obj_weakref': None
2022-11-23T01:30:19.9071357Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9071409Z             }
2022-11-23T01:30:19.9071472Z             
2022-11-23T01:30:19.9071541Z  - 
2022-11-23T01:30:19.9071663Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9071724Z             {
2022-11-23T01:30:19.9071863Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9071968Z                 'code': None,
2022-11-23T01:30:19.9072167Z                 'obj_weakref': <weakref at 0x7ff58fc476f0; to 'Tensor' at 0x7ff59c18f3d0>
2022-11-23T01:30:19.9072418Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9072478Z             }
2022-11-23T01:30:19.9072540Z             
2022-11-23T01:30:19.9072608Z  - 
2022-11-23T01:30:19.9072729Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9072790Z             {
2022-11-23T01:30:19.9072918Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9073022Z                 'code': None,
2022-11-23T01:30:19.9073233Z                 'obj_weakref': <weakref at 0x7ff58fc8f8d0; to 'Tensor' at 0x7ff58fe75da0>
2022-11-23T01:30:19.9073484Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9073548Z             }
2022-11-23T01:30:19.9073607Z             
2022-11-23T01:30:19.9073674Z  - 
2022-11-23T01:30:19.9073791Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9073919Z             {
2022-11-23T01:30:19.9074056Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9074225Z                 'code': ['___check_obj_id(model, 140693062691584)'],
2022-11-23T01:30:19.9074341Z                 'obj_weakref': None
2022-11-23T01:30:19.9074571Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9074633Z             }
2022-11-23T01:30:19.9074686Z             
2022-11-23T01:30:19.9074751Z  - 
2022-11-23T01:30:19.9074871Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9074935Z             {
2022-11-23T01:30:19.9075071Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9075287Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9075405Z                 'obj_weakref': None
2022-11-23T01:30:19.9075612Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9075674Z             }
2022-11-23T01:30:19.9075736Z             
2022-11-23T01:30:19.9075803Z  - 
2022-11-23T01:30:19.9075934Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9075996Z             {
2022-11-23T01:30:19.9076113Z                 'guard_types': None,
2022-11-23T01:30:19.9076206Z                 'code': None,
2022-11-23T01:30:19.9076321Z                 'obj_weakref': None
2022-11-23T01:30:19.9076442Z                 'guarded_class': None
2022-11-23T01:30:19.9076507Z             }
2022-11-23T01:30:19.9076568Z             
2022-11-23T01:30:19.9076862Z [2022-11-23 01:24:56,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 203
2022-11-23T01:30:19.9077232Z [2022-11-23 01:24:57,798] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cphnqvy5ifk743mgbmxccsixjwnz72hgedwu3rbth7s65bv3qhd4.py
2022-11-23T01:30:19.9077494Z [2022-11-23 01:24:57,798] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 203
2022-11-23T01:30:19.9077500Z 
2022-11-23T01:30:19.9077581Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9077647Z import torch
2022-11-23T01:30:19.9077715Z import random
2022-11-23T01:30:19.9077828Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9077948Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9077954Z 
2022-11-23T01:30:19.9078030Z aten = torch.ops.aten
2022-11-23T01:30:19.9078189Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9078268Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9078273Z 
2022-11-23T01:30:19.9078290Z 
2022-11-23T01:30:19.9078412Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9078616Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9078734Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:19.9078836Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.9078934Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.9079028Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.9079119Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.9079168Z {
2022-11-23T01:30:19.9079263Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9079325Z     {
2022-11-23T01:30:19.9079400Z         #pragma omp for 
2022-11-23T01:30:19.9079480Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.9079543Z         {
2022-11-23T01:30:19.9079621Z             #pragma GCC ivdep
2022-11-23T01:30:19.9079696Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:30:19.9079759Z             {
2022-11-23T01:30:19.9079822Z                 {
2022-11-23T01:30:19.9079886Z                     {
2022-11-23T01:30:19.9079981Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9080089Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:30:19.9080186Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:30:19.9080240Z                     }
2022-11-23T01:30:19.9080305Z                 }
2022-11-23T01:30:19.9080370Z             }
2022-11-23T01:30:19.9080432Z         }
2022-11-23T01:30:19.9080509Z         #pragma omp for 
2022-11-23T01:30:19.9080590Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.9080641Z         {
2022-11-23T01:30:19.9080721Z             #pragma GCC ivdep
2022-11-23T01:30:19.9080803Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.9080870Z             {
2022-11-23T01:30:19.9080952Z                 #pragma GCC ivdep
2022-11-23T01:30:19.9081042Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:30:19.9081112Z                 {
2022-11-23T01:30:19.9081166Z                     {
2022-11-23T01:30:19.9081234Z                         {
2022-11-23T01:30:19.9081331Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:19.9081444Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:30:19.9081549Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:30:19.9081620Z                         }
2022-11-23T01:30:19.9081686Z                     }
2022-11-23T01:30:19.9081737Z                 }
2022-11-23T01:30:19.9081801Z             }
2022-11-23T01:30:19.9081862Z         }
2022-11-23T01:30:19.9081940Z         #pragma omp for 
2022-11-23T01:30:19.9082021Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.9082086Z         {
2022-11-23T01:30:19.9082164Z             #pragma GCC ivdep
2022-11-23T01:30:19.9082232Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.9082296Z             {
2022-11-23T01:30:19.9082406Z                 #pragma GCC ivdep
2022-11-23T01:30:19.9082496Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:30:19.9082561Z                 {
2022-11-23T01:30:19.9082629Z                     {
2022-11-23T01:30:19.9082686Z                         {
2022-11-23T01:30:19.9082782Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:19.9082875Z                             auto tmp1 = in_ptr0[i2];
2022-11-23T01:30:19.9082992Z                             auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2022-11-23T01:30:19.9083097Z                             out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2022-11-23T01:30:19.9083167Z                         }
2022-11-23T01:30:19.9083234Z                     }
2022-11-23T01:30:19.9083299Z                 }
2022-11-23T01:30:19.9083350Z             }
2022-11-23T01:30:19.9083442Z         }
2022-11-23T01:30:19.9083504Z     }
2022-11-23T01:30:19.9083564Z }
2022-11-23T01:30:19.9083644Z ''')
2022-11-23T01:30:19.9083649Z 
2022-11-23T01:30:19.9083654Z 
2022-11-23T01:30:19.9083747Z async_compile.wait(globals())
2022-11-23T01:30:19.9083807Z del async_compile
2022-11-23T01:30:19.9083825Z 
2022-11-23T01:30:19.9083882Z def call(args):
2022-11-23T01:30:19.9083957Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.9084027Z     args.clear()
2022-11-23T01:30:19.9084233Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9084429Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9084622Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9084831Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.9084890Z     del arg0_1
2022-11-23T01:30:19.9084961Z     del arg1_1
2022-11-23T01:30:19.9085046Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.9085051Z 
2022-11-23T01:30:19.9085055Z 
2022-11-23T01:30:19.9085133Z if __name__ == "__main__":
2022-11-23T01:30:19.9085250Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9085375Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9085580Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9085766Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:19.9085869Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.9085874Z 
2022-11-23T01:30:19.9085888Z 
2022-11-23T01:30:19.9085968Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9086035Z import torch
2022-11-23T01:30:19.9086104Z import random
2022-11-23T01:30:19.9086215Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9086333Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9086338Z 
2022-11-23T01:30:19.9086412Z aten = torch.ops.aten
2022-11-23T01:30:19.9086544Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9086623Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9086628Z 
2022-11-23T01:30:19.9086643Z 
2022-11-23T01:30:19.9086763Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9086964Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9087081Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.9087184Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.9087281Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.9087374Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.9087465Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.9087514Z {
2022-11-23T01:30:19.9087612Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9087672Z     {
2022-11-23T01:30:19.9087746Z         #pragma omp for 
2022-11-23T01:30:19.9087825Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.9087914Z         {
2022-11-23T01:30:19.9087982Z             #pragma GCC ivdep
2022-11-23T01:30:19.9088065Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:30:19.9088127Z             {
2022-11-23T01:30:19.9088190Z                 {
2022-11-23T01:30:19.9088255Z                     {
2022-11-23T01:30:19.9088349Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9088450Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:30:19.9088535Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:30:19.9088600Z                     }
2022-11-23T01:30:19.9088661Z                 }
2022-11-23T01:30:19.9088722Z             }
2022-11-23T01:30:19.9088783Z         }
2022-11-23T01:30:19.9088858Z         #pragma omp for 
2022-11-23T01:30:19.9088964Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.9089014Z         {
2022-11-23T01:30:19.9089090Z             #pragma GCC ivdep
2022-11-23T01:30:19.9089173Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.9089237Z             {
2022-11-23T01:30:19.9089316Z                 #pragma GCC ivdep
2022-11-23T01:30:19.9089403Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:30:19.9089466Z                 {
2022-11-23T01:30:19.9089518Z                     {
2022-11-23T01:30:19.9089584Z                         {
2022-11-23T01:30:19.9089677Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:19.9089787Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:30:19.9089889Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:30:19.9089956Z                         }
2022-11-23T01:30:19.9090020Z                     }
2022-11-23T01:30:19.9090071Z                 }
2022-11-23T01:30:19.9090132Z             }
2022-11-23T01:30:19.9090194Z         }
2022-11-23T01:30:19.9090269Z         #pragma omp for 
2022-11-23T01:30:19.9090346Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.9090405Z         {
2022-11-23T01:30:19.9090473Z             #pragma GCC ivdep
2022-11-23T01:30:19.9090556Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.9090618Z             {
2022-11-23T01:30:19.9090697Z                 #pragma GCC ivdep
2022-11-23T01:30:19.9090784Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:30:19.9090845Z                 {
2022-11-23T01:30:19.9090907Z                     {
2022-11-23T01:30:19.9090962Z                         {
2022-11-23T01:30:19.9091054Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:19.9091145Z                             auto tmp1 = in_ptr0[i2];
2022-11-23T01:30:19.9091256Z                             auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2022-11-23T01:30:19.9091356Z                             out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2022-11-23T01:30:19.9091425Z                         }
2022-11-23T01:30:19.9091488Z                     }
2022-11-23T01:30:19.9091540Z                 }
2022-11-23T01:30:19.9091603Z             }
2022-11-23T01:30:19.9091666Z         }
2022-11-23T01:30:19.9091727Z     }
2022-11-23T01:30:19.9091785Z }
2022-11-23T01:30:19.9091861Z ''')
2022-11-23T01:30:19.9091867Z 
2022-11-23T01:30:19.9091871Z 
2022-11-23T01:30:19.9091957Z async_compile.wait(globals())
2022-11-23T01:30:19.9092016Z del async_compile
2022-11-23T01:30:19.9092034Z 
2022-11-23T01:30:19.9092090Z def call(args):
2022-11-23T01:30:19.9092161Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.9092230Z     args.clear()
2022-11-23T01:30:19.9092428Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9092621Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9092809Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9093017Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.9093073Z     del arg0_1
2022-11-23T01:30:19.9093171Z     del arg1_1
2022-11-23T01:30:19.9093253Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.9093258Z 
2022-11-23T01:30:19.9093262Z 
2022-11-23T01:30:19.9093337Z if __name__ == "__main__":
2022-11-23T01:30:19.9093450Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9093570Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9093772Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9093955Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.9094057Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.9094061Z 
2022-11-23T01:30:19.9094125Z ok (3.015s)
2022-11-23T01:30:19.9094453Z   test_indirect_load_broadcast_cpu (__main__.CpuTests) ... [2022-11-23 01:24:57,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9094801Z [2022-11-23 01:24:57,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9095016Z [2022-11-23 01:24:57,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9095267Z [2022-11-23 01:24:57,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9095540Z [2022-11-23 01:24:57,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9095859Z [2022-11-23 01:24:57,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9096201Z [2022-11-23 01:24:57,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9096719Z [2022-11-23 01:24:57,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9097093Z [2022-11-23 01:24:57,879] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e2760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316> 
2022-11-23T01:30:19.9097189Z  3317           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9097283Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:30:19.9097377Z                4 LOAD_FAST                1 (in_ptr1)
2022-11-23T01:30:19.9097466Z                6 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9097558Z                8 LOAD_FAST                2 (in_ptr2)
2022-11-23T01:30:19.9097644Z               10 CALL_METHOD              3
2022-11-23T01:30:19.9097735Z               12 LOAD_FAST                0 (in_ptr0)
2022-11-23T01:30:19.9097798Z               14 BINARY_ADD
2022-11-23T01:30:19.9097872Z               16 RETURN_VALUE
2022-11-23T01:30:19.9097932Z  
2022-11-23T01:30:19.9097937Z 
2022-11-23T01:30:19.9098255Z [2022-11-23 01:24:57,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3317
2022-11-23T01:30:19.9098471Z [2022-11-23 01:24:57,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9098836Z [2022-11-23 01:24:57,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9099172Z [2022-11-23 01:24:57,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr1 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9099521Z [2022-11-23 01:24:57,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9099976Z [2022-11-23 01:24:57,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr2 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9100402Z [2022-11-23 01:24:57,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:19.9100635Z [2022-11-23 01:24:57,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr0 [TensorVariable()]
2022-11-23T01:30:19.9100908Z [2022-11-23 01:24:57,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9101149Z [2022-11-23 01:24:57,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9101564Z [2022-11-23 01:24:57,882] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e2760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3316>
2022-11-23T01:30:19.9101809Z [2022-11-23 01:24:57,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9102044Z [2022-11-23 01:24:57,882] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9102295Z [2022-11-23 01:24:57,883] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9102543Z [2022-11-23 01:24:57,887] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9102729Z [2022-11-23 01:24:57,887] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9102851Z  __compiled_fn_206 <eval_with_key>.1697 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9102939Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9103027Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9103111Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.9103357Z call_function, gather, <built-in method gather of type object at 0x7ff5d7c59c60>, (ex_1_, 0, ex_2_), {}
2022-11-23T01:30:19.9103535Z call_function, add, <built-in function add>, (gather, ex_0_), {}
2022-11-23T01:30:19.9103627Z output, output, output, ((add,),), {}
2022-11-23T01:30:19.9103633Z 
2022-11-23T01:30:19.9103950Z [2022-11-23 01:24:57,887] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9104031Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9104120Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9104206Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9104297Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9104383Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9104476Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9104550Z              12 RETURN_VALUE
2022-11-23T01:30:19.9104555Z 
2022-11-23T01:30:19.9104613Z  
2022-11-23T01:30:19.9104921Z [2022-11-23 01:24:57,888] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9105027Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_206)
2022-11-23T01:30:19.9105114Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9105200Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9105275Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9105365Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9105450Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9105512Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9105597Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9105681Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:19.9105758Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.9105842Z              20 CALL_FUNCTION            3
2022-11-23T01:30:19.9106005Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9106079Z              24 RETURN_VALUE
2022-11-23T01:30:19.9106084Z 
2022-11-23T01:30:19.9106131Z  
2022-11-23T01:30:19.9106312Z [2022-11-23 01:24:57,888] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9106381Z  - 
2022-11-23T01:30:19.9106497Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9106560Z             {
2022-11-23T01:30:19.9106703Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9106889Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:19.9106994Z                 'obj_weakref': None
2022-11-23T01:30:19.9107218Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9107282Z             }
2022-11-23T01:30:19.9107377Z             
2022-11-23T01:30:19.9107445Z  - 
2022-11-23T01:30:19.9107570Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9107633Z             {
2022-11-23T01:30:19.9107764Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9107868Z                 'code': None,
2022-11-23T01:30:19.9108084Z                 'obj_weakref': <weakref at 0x7ff58fec9fd0; to 'Tensor' at 0x7ff58f918b80>
2022-11-23T01:30:19.9108336Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9108397Z             }
2022-11-23T01:30:19.9108459Z             
2022-11-23T01:30:19.9108529Z  - 
2022-11-23T01:30:19.9108638Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9108703Z             {
2022-11-23T01:30:19.9108843Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9108949Z                 'code': None,
2022-11-23T01:30:19.9109159Z                 'obj_weakref': <weakref at 0x7ff58feca700; to 'Tensor' at 0x7ff58f919ee0>
2022-11-23T01:30:19.9109416Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9109478Z             }
2022-11-23T01:30:19.9109539Z             
2022-11-23T01:30:19.9109594Z  - 
2022-11-23T01:30:19.9109714Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.9109776Z             {
2022-11-23T01:30:19.9109915Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9110019Z                 'code': None,
2022-11-23T01:30:19.9110229Z                 'obj_weakref': <weakref at 0x7ff58fec89f0; to 'Tensor' at 0x7ff58f918130>
2022-11-23T01:30:19.9110477Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9110527Z             }
2022-11-23T01:30:19.9110587Z             
2022-11-23T01:30:19.9110655Z  - 
2022-11-23T01:30:19.9110781Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9110845Z             {
2022-11-23T01:30:19.9110976Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9111132Z                 'code': ['___check_obj_id(model, 140692862617344)'],
2022-11-23T01:30:19.9111250Z                 'obj_weakref': None
2022-11-23T01:30:19.9111478Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9111542Z             }
2022-11-23T01:30:19.9111602Z             
2022-11-23T01:30:19.9111669Z  - 
2022-11-23T01:30:19.9111789Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9111840Z             {
2022-11-23T01:30:19.9111974Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9112189Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9112307Z                 'obj_weakref': None
2022-11-23T01:30:19.9112523Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9112587Z             }
2022-11-23T01:30:19.9112648Z             
2022-11-23T01:30:19.9112703Z  - 
2022-11-23T01:30:19.9112833Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9112893Z             {
2022-11-23T01:30:19.9113038Z                 'guard_types': None,
2022-11-23T01:30:19.9113143Z                 'code': None,
2022-11-23T01:30:19.9113256Z                 'obj_weakref': None
2022-11-23T01:30:19.9113375Z                 'guarded_class': None
2022-11-23T01:30:19.9113425Z             }
2022-11-23T01:30:19.9113485Z             
2022-11-23T01:30:19.9113744Z [2022-11-23 01:24:57,895] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 204
2022-11-23T01:30:19.9114192Z [2022-11-23 01:24:59,374] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckd7zcpsoyponx7v7ag3nkgadiooe2nok5gbm2kui5osxfpt67xb.py
2022-11-23T01:30:19.9114453Z [2022-11-23 01:24:59,375] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 204
2022-11-23T01:30:19.9114491Z 
2022-11-23T01:30:19.9114585Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9114653Z import torch
2022-11-23T01:30:19.9114722Z import random
2022-11-23T01:30:19.9114824Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9114946Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9114951Z 
2022-11-23T01:30:19.9115029Z aten = torch.ops.aten
2022-11-23T01:30:19.9115163Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9115256Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9115261Z 
2022-11-23T01:30:19.9115266Z 
2022-11-23T01:30:19.9115400Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9115606Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9115725Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.9115818Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.9115924Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.9116023Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.9116086Z {
2022-11-23T01:30:19.9116188Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9116251Z     {
2022-11-23T01:30:19.9116329Z         #pragma omp for 
2022-11-23T01:30:19.9116399Z         for(long i0=0; i0<21; i0+=1)
2022-11-23T01:30:19.9116462Z         {
2022-11-23T01:30:19.9116541Z             #pragma GCC ivdep
2022-11-23T01:30:19.9116628Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:30:19.9116692Z             {
2022-11-23T01:30:19.9116758Z                 {
2022-11-23T01:30:19.9116825Z                     {
2022-11-23T01:30:19.9116916Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:19.9117008Z                         auto tmp2 = in_ptr2[i1];
2022-11-23T01:30:19.9117114Z                         auto tmp1 = in_ptr1[i0 + (512*tmp0)];
2022-11-23T01:30:19.9117207Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.9117305Z                         out_ptr0[i1 + (32*i0)] = tmp3;
2022-11-23T01:30:19.9117373Z                     }
2022-11-23T01:30:19.9117439Z                 }
2022-11-23T01:30:19.9117491Z             }
2022-11-23T01:30:19.9117554Z         }
2022-11-23T01:30:19.9117619Z     }
2022-11-23T01:30:19.9117679Z }
2022-11-23T01:30:19.9117755Z ''')
2022-11-23T01:30:19.9117761Z 
2022-11-23T01:30:19.9117765Z 
2022-11-23T01:30:19.9117856Z async_compile.wait(globals())
2022-11-23T01:30:19.9117928Z del async_compile
2022-11-23T01:30:19.9117932Z 
2022-11-23T01:30:19.9117991Z def call(args):
2022-11-23T01:30:19.9118073Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.9118143Z     args.clear()
2022-11-23T01:30:19.9118347Z     buf0 = empty_strided((32, 21), (1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9118537Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.9118608Z     del arg0_1
2022-11-23T01:30:19.9118675Z     del arg1_1
2022-11-23T01:30:19.9118727Z     del arg2_1
2022-11-23T01:30:19.9118799Z     return (buf0, )
2022-11-23T01:30:19.9118804Z 
2022-11-23T01:30:19.9118837Z 
2022-11-23T01:30:19.9118915Z if __name__ == "__main__":
2022-11-23T01:30:19.9119031Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9119155Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9119354Z     arg0_1 = rand_strided((32, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9119561Z     arg1_1 = rand_strided((9521, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9119755Z     arg2_1 = rand_strided((32, 21), (1, 32), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.9119863Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.9119880Z 
2022-11-23T01:30:19.9119933Z ok (1.576s)
2022-11-23T01:30:19.9120226Z   test_inf_cpu (__main__.CpuTests) ... [2022-11-23 01:24:59,380] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9120571Z [2022-11-23 01:24:59,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9120790Z [2022-11-23 01:24:59,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9121041Z [2022-11-23 01:24:59,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9121315Z [2022-11-23 01:24:59,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9121632Z [2022-11-23 01:24:59,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9121975Z [2022-11-23 01:24:59,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9122298Z [2022-11-23 01:24:59,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9122660Z [2022-11-23 01:24:59,381] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6fa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753> 
2022-11-23T01:30:19.9122753Z  2754           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9122848Z                2 LOAD_GLOBAL              0 (float)
2022-11-23T01:30:19.9122985Z                4 LOAD_CONST               1 ('inf')
2022-11-23T01:30:19.9123074Z                6 CALL_FUNCTION            1
2022-11-23T01:30:19.9123145Z                8 BINARY_ADD
2022-11-23T01:30:19.9123232Z               10 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9123323Z               12 LOAD_GLOBAL              0 (float)
2022-11-23T01:30:19.9123452Z               14 LOAD_CONST               2 ('-inf')
2022-11-23T01:30:19.9123541Z               16 CALL_FUNCTION            1
2022-11-23T01:30:19.9123611Z               18 BINARY_ADD
2022-11-23T01:30:19.9123700Z               20 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9123789Z               22 LOAD_GLOBAL              0 (float)
2022-11-23T01:30:19.9123927Z               24 LOAD_CONST               1 ('inf')
2022-11-23T01:30:19.9124016Z               26 CALL_FUNCTION            1
2022-11-23T01:30:19.9124082Z               28 UNARY_NEGATIVE
2022-11-23T01:30:19.9124161Z               30 BINARY_MULTIPLY
2022-11-23T01:30:19.9124246Z               32 BUILD_TUPLE              3
2022-11-23T01:30:19.9124320Z               34 RETURN_VALUE
2022-11-23T01:30:19.9124379Z  
2022-11-23T01:30:19.9124385Z 
2022-11-23T01:30:19.9124702Z [2022-11-23 01:24:59,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2754
2022-11-23T01:30:19.9124908Z [2022-11-23 01:24:59,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9125159Z [2022-11-23 01:24:59,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable()]
2022-11-23T01:30:19.9125452Z [2022-11-23 01:24:59,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:30:19.9125767Z [2022-11-23 01:24:59,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:30:19.9126046Z [2022-11-23 01:24:59,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.9126279Z [2022-11-23 01:24:59,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:19.9126548Z [2022-11-23 01:24:59,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9126853Z [2022-11-23 01:24:59,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:30:19.9127222Z [2022-11-23 01:24:59,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:30:19.9127528Z [2022-11-23 01:24:59,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.9127789Z [2022-11-23 01:24:59,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9128088Z [2022-11-23 01:24:59,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9128406Z [2022-11-23 01:24:59,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:30:19.9128777Z [2022-11-23 01:24:59,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:30:19.9129117Z [2022-11-23 01:24:59,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.9129464Z [2022-11-23 01:24:59,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.9129757Z [2022-11-23 01:24:59,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9130001Z [2022-11-23 01:24:59,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9130382Z [2022-11-23 01:24:59,386] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6fa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2753>
2022-11-23T01:30:19.9130630Z [2022-11-23 01:24:59,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9130861Z [2022-11-23 01:24:59,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9131113Z [2022-11-23 01:24:59,388] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9131356Z [2022-11-23 01:24:59,393] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9131533Z [2022-11-23 01:24:59,393] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9131666Z  __compiled_fn_207 <eval_with_key>.1703 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9131752Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9131926Z call_function, add, <built-in function add>, (ex_0_, inf), {}
2022-11-23T01:30:19.9132105Z call_function, add_1, <built-in function add>, (ex_0_, -inf), {}
2022-11-23T01:30:19.9132278Z call_function, mul, <built-in function mul>, (ex_0_, -inf), {}
2022-11-23T01:30:19.9132419Z output, output, output, ((add, add_1, mul),), {}
2022-11-23T01:30:19.9132425Z 
2022-11-23T01:30:19.9132749Z [2022-11-23 01:24:59,393] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9132828Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9132916Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9133000Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9133090Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9133173Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9133259Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9133330Z              12 RETURN_VALUE
2022-11-23T01:30:19.9133363Z 
2022-11-23T01:30:19.9133422Z  
2022-11-23T01:30:19.9133732Z [2022-11-23 01:24:59,394] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9133839Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_207)
2022-11-23T01:30:19.9133927Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9134014Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9134089Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9134174Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9134274Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9134361Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9134448Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9134523Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.9134621Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9134709Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9134783Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9134882Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9134956Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.9135030Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.9135116Z              30 BUILD_TUPLE              3
2022-11-23T01:30:19.9135188Z              32 RETURN_VALUE
2022-11-23T01:30:19.9135194Z 
2022-11-23T01:30:19.9135255Z  
2022-11-23T01:30:19.9135435Z [2022-11-23 01:24:59,394] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9135501Z  - 
2022-11-23T01:30:19.9135607Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9135672Z             {
2022-11-23T01:30:19.9135809Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9135993Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9136110Z                 'obj_weakref': None
2022-11-23T01:30:19.9136335Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9136399Z             }
2022-11-23T01:30:19.9136586Z             
2022-11-23T01:30:19.9136644Z  - 
2022-11-23T01:30:19.9136767Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9136829Z             {
2022-11-23T01:30:19.9136973Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9137078Z                 'code': None,
2022-11-23T01:30:19.9137288Z                 'obj_weakref': <weakref at 0x7ff58ff16660; to 'Tensor' at 0x7ff5a8721440>
2022-11-23T01:30:19.9137539Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9137589Z             }
2022-11-23T01:30:19.9137651Z             
2022-11-23T01:30:19.9137718Z  - 
2022-11-23T01:30:19.9137848Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9137910Z             {
2022-11-23T01:30:19.9138045Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9138200Z                 'code': ['___check_obj_id(model, 140693070182816)'],
2022-11-23T01:30:19.9138317Z                 'obj_weakref': None
2022-11-23T01:30:19.9138593Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9138657Z             }
2022-11-23T01:30:19.9138720Z             
2022-11-23T01:30:19.9138788Z  - 
2022-11-23T01:30:19.9138909Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9138961Z             {
2022-11-23T01:30:19.9139095Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9139311Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9139427Z                 'obj_weakref': None
2022-11-23T01:30:19.9139646Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9139710Z             }
2022-11-23T01:30:19.9139805Z             
2022-11-23T01:30:19.9139862Z  - 
2022-11-23T01:30:19.9139990Z             global 'float' BUILTIN_MATCH
2022-11-23T01:30:19.9140052Z             {
2022-11-23T01:30:19.9140171Z                 'guard_types': None,
2022-11-23T01:30:19.9140276Z                 'code': None,
2022-11-23T01:30:19.9140390Z                 'obj_weakref': None
2022-11-23T01:30:19.9140508Z                 'guarded_class': None
2022-11-23T01:30:19.9140557Z             }
2022-11-23T01:30:19.9140617Z             
2022-11-23T01:30:19.9140876Z [2022-11-23 01:24:59,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 205
2022-11-23T01:30:19.9141245Z [2022-11-23 01:25:01,541] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mc/cmc5mtecjllhjfroodhcpv25jfqqknjfhra2jmrlhbned7jbhxkp.py
2022-11-23T01:30:19.9141505Z [2022-11-23 01:25:01,541] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 205
2022-11-23T01:30:19.9141510Z 
2022-11-23T01:30:19.9141603Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9141672Z import torch
2022-11-23T01:30:19.9141741Z import random
2022-11-23T01:30:19.9141843Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9141961Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9141966Z 
2022-11-23T01:30:19.9142042Z aten = torch.ops.aten
2022-11-23T01:30:19.9142174Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9142264Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9142269Z 
2022-11-23T01:30:19.9142273Z 
2022-11-23T01:30:19.9142404Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9142606Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9142724Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9142812Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.9142904Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.9142999Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:19.9143059Z {
2022-11-23T01:30:19.9143156Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9143218Z     {
2022-11-23T01:30:19.9143294Z         #pragma omp for 
2022-11-23T01:30:19.9143364Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:19.9143423Z         {
2022-11-23T01:30:19.9143571Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.9143722Z             auto tmp1 = at::vec::Vectorized<float>(std::numeric_limits<float>::infinity());
2022-11-23T01:30:19.9143805Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.9144023Z             auto tmp3 = at::vec::Vectorized<float>(-std::numeric_limits<float>::infinity());
2022-11-23T01:30:19.9144106Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:19.9144187Z             auto tmp5 = tmp0 * tmp3;
2022-11-23T01:30:19.9144264Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.9144352Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.9144441Z             tmp5.store(out_ptr2 + 8*i0);
2022-11-23T01:30:19.9144530Z         }
2022-11-23T01:30:19.9144698Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.9144781Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:19.9144843Z         {
2022-11-23T01:30:19.9144913Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9145032Z             auto tmp1 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:19.9145117Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.9145344Z             auto tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:19.9145426Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:19.9145506Z             auto tmp5 = tmp0 * tmp3;
2022-11-23T01:30:19.9145585Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.9145651Z             out_ptr1[i0] = tmp4;
2022-11-23T01:30:19.9145727Z             out_ptr2[i0] = tmp5;
2022-11-23T01:30:19.9145788Z         }
2022-11-23T01:30:19.9145884Z     }
2022-11-23T01:30:19.9145943Z }
2022-11-23T01:30:19.9146018Z ''')
2022-11-23T01:30:19.9146024Z 
2022-11-23T01:30:19.9146028Z 
2022-11-23T01:30:19.9146114Z async_compile.wait(globals())
2022-11-23T01:30:19.9146177Z del async_compile
2022-11-23T01:30:19.9146182Z 
2022-11-23T01:30:19.9146251Z def call(args):
2022-11-23T01:30:19.9146320Z     arg0_1, = args
2022-11-23T01:30:19.9146392Z     args.clear()
2022-11-23T01:30:19.9146585Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9146777Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9146964Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9147141Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:19.9147211Z     del arg0_1
2022-11-23T01:30:19.9147292Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:19.9147297Z 
2022-11-23T01:30:19.9147304Z 
2022-11-23T01:30:19.9147380Z if __name__ == "__main__":
2022-11-23T01:30:19.9147493Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9147614Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9147803Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9147907Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.9147912Z 
2022-11-23T01:30:19.9147979Z ok (2.170s)
2022-11-23T01:30:19.9148291Z   test_inplace_activations_cpu (__main__.CpuTests) ... [2022-11-23 01:25:01,552] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9148608Z [2022-11-23 01:25:01,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9148824Z [2022-11-23 01:25:01,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9149075Z [2022-11-23 01:25:01,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9149353Z [2022-11-23 01:25:01,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9149667Z [2022-11-23 01:25:01,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9150009Z [2022-11-23 01:25:01,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9150329Z [2022-11-23 01:25:01,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9150701Z [2022-11-23 01:25:01,553] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e3050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396> 
2022-11-23T01:30:19.9150797Z  3397           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9150886Z                2 LOAD_METHOD              1 (hardswish_)
2022-11-23T01:30:19.9151024Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9151113Z                6 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9151185Z                8 BINARY_ADD
2022-11-23T01:30:19.9151270Z               10 CALL_METHOD              1
2022-11-23T01:30:19.9151358Z               12 STORE_FAST               1 (a)
2022-11-23T01:30:19.9151363Z 
2022-11-23T01:30:19.9151456Z 3398          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9151542Z               16 LOAD_METHOD              2 (hardtanh_)
2022-11-23T01:30:19.9151627Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9151712Z               20 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9151786Z               22 BINARY_ADD
2022-11-23T01:30:19.9151871Z               24 CALL_METHOD              1
2022-11-23T01:30:19.9151985Z               26 STORE_FAST               2 (b)
2022-11-23T01:30:19.9151990Z 
2022-11-23T01:30:19.9152079Z 3399          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9152179Z               30 LOAD_METHOD              3 (leaky_relu_)
2022-11-23T01:30:19.9152255Z               32 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9152339Z               34 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9152410Z               36 BINARY_ADD
2022-11-23T01:30:19.9152496Z               38 CALL_METHOD              1
2022-11-23T01:30:19.9152584Z               40 STORE_FAST               3 (c)
2022-11-23T01:30:19.9152588Z 
2022-11-23T01:30:19.9152676Z 3400          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9152766Z               44 LOAD_METHOD              4 (silu_)
2022-11-23T01:30:19.9152839Z               46 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9152925Z               48 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9152995Z               50 BINARY_ADD
2022-11-23T01:30:19.9153082Z               52 CALL_METHOD              1
2022-11-23T01:30:19.9153166Z               54 STORE_FAST               4 (d)
2022-11-23T01:30:19.9153171Z 
2022-11-23T01:30:19.9153263Z 3401          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9153355Z               58 LOAD_METHOD              5 (log1p)
2022-11-23T01:30:19.9153439Z               60 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9153513Z               62 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9153583Z               64 BINARY_ADD
2022-11-23T01:30:19.9153669Z               66 CALL_METHOD              1
2022-11-23T01:30:19.9153756Z               68 STORE_FAST               5 (e)
2022-11-23T01:30:19.9153760Z 
2022-11-23T01:30:19.9153910Z 3402          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9154015Z               72 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:30:19.9154104Z               74 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9154177Z               76 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9154252Z               78 BINARY_ADD
2022-11-23T01:30:19.9154342Z               80 LOAD_GLOBAL              7 (torch)
2022-11-23T01:30:19.9154443Z               82 LOAD_ATTR                8 (zeros_like)
2022-11-23T01:30:19.9154532Z               84 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9154623Z               86 LOAD_GLOBAL              7 (torch)
2022-11-23T01:30:19.9154712Z               88 LOAD_ATTR                9 (bool)
2022-11-23T01:30:19.9154850Z               90 LOAD_CONST               2 (('dtype',))
2022-11-23T01:30:19.9154941Z               92 CALL_FUNCTION_KW         2
2022-11-23T01:30:19.9155031Z               94 LOAD_CONST               3 (99.0)
2022-11-23T01:30:19.9155117Z               96 CALL_METHOD              3
2022-11-23T01:30:19.9155205Z               98 STORE_FAST               6 (f)
2022-11-23T01:30:19.9155210Z 
2022-11-23T01:30:19.9155300Z 3403         100 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9155403Z              102 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:30:19.9155491Z              104 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9155594Z              106 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9155669Z              108 BINARY_ADD
2022-11-23T01:30:19.9155761Z              110 LOAD_GLOBAL              7 (torch)
2022-11-23T01:30:19.9155857Z              112 LOAD_ATTR               10 (ones_like)
2022-11-23T01:30:19.9155944Z              114 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9156034Z              116 LOAD_GLOBAL              7 (torch)
2022-11-23T01:30:19.9156123Z              118 LOAD_ATTR                9 (bool)
2022-11-23T01:30:19.9156259Z              120 LOAD_CONST               2 (('dtype',))
2022-11-23T01:30:19.9156350Z              122 CALL_FUNCTION_KW         2
2022-11-23T01:30:19.9156441Z              124 LOAD_CONST               3 (99.0)
2022-11-23T01:30:19.9156527Z              126 CALL_METHOD              3
2022-11-23T01:30:19.9156617Z              128 STORE_FAST               7 (h)
2022-11-23T01:30:19.9156648Z 
2022-11-23T01:30:19.9156737Z 3404         130 LOAD_FAST                1 (a)
2022-11-23T01:30:19.9156826Z              132 LOAD_FAST                2 (b)
2022-11-23T01:30:19.9156913Z              134 LOAD_FAST                3 (c)
2022-11-23T01:30:19.9156985Z              136 LOAD_FAST                4 (d)
2022-11-23T01:30:19.9157070Z              138 LOAD_FAST                5 (e)
2022-11-23T01:30:19.9157154Z              140 LOAD_FAST                6 (f)
2022-11-23T01:30:19.9157239Z              142 LOAD_FAST                7 (h)
2022-11-23T01:30:19.9157329Z              144 BUILD_TUPLE              7
2022-11-23T01:30:19.9157408Z              146 RETURN_VALUE
2022-11-23T01:30:19.9157469Z  
2022-11-23T01:30:19.9157473Z 
2022-11-23T01:30:19.9157779Z [2022-11-23 01:25:01,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3397
2022-11-23T01:30:19.9157998Z [2022-11-23 01:25:01,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9158317Z [2022-11-23 01:25:01,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9158580Z [2022-11-23 01:25:01,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardswish_)]
2022-11-23T01:30:19.9158871Z [2022-11-23 01:25:01,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:30:19.9159199Z [2022-11-23 01:25:01,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardswish_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9159493Z [2022-11-23 01:25:01,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:30:19.9159729Z [2022-11-23 01:25:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.9160046Z [2022-11-23 01:25:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3398
2022-11-23T01:30:19.9160265Z [2022-11-23 01:25:01,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9160562Z [2022-11-23 01:25:01,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9160816Z [2022-11-23 01:25:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardtanh_)]
2022-11-23T01:30:19.9161098Z [2022-11-23 01:25:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:30:19.9161427Z [2022-11-23 01:25:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardtanh_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9161718Z [2022-11-23 01:25:01,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:30:19.9161986Z [2022-11-23 01:25:01,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:30:19.9162296Z [2022-11-23 01:25:01,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3399
2022-11-23T01:30:19.9162507Z [2022-11-23 01:25:01,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9162818Z [2022-11-23 01:25:01,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9163076Z [2022-11-23 01:25:01,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu_)]
2022-11-23T01:30:19.9163352Z [2022-11-23 01:25:01,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:30:19.9163713Z [2022-11-23 01:25:01,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.leaky_relu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9164003Z [2022-11-23 01:25:01,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:30:19.9164340Z [2022-11-23 01:25:01,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:30:19.9164654Z [2022-11-23 01:25:01,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3400
2022-11-23T01:30:19.9164867Z [2022-11-23 01:25:01,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9165168Z [2022-11-23 01:25:01,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9165418Z [2022-11-23 01:25:01,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.silu_)]
2022-11-23T01:30:19.9165698Z [2022-11-23 01:25:01,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:30:19.9166019Z [2022-11-23 01:25:01,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.silu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9166289Z [2022-11-23 01:25:01,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:30:19.9166524Z [2022-11-23 01:25:01,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:30:19.9166837Z [2022-11-23 01:25:01,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3401
2022-11-23T01:30:19.9167049Z [2022-11-23 01:25:01,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9167355Z [2022-11-23 01:25:01,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log1p [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9167604Z [2022-11-23 01:25:01,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.log1p)]
2022-11-23T01:30:19.9167886Z [2022-11-23 01:25:01,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:30:19.9168208Z [2022-11-23 01:25:01,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.log1p), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9168493Z [2022-11-23 01:25:01,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:30:19.9168729Z [2022-11-23 01:25:01,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:30:19.9169028Z [2022-11-23 01:25:01,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3402
2022-11-23T01:30:19.9169274Z [2022-11-23 01:25:01,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9169587Z [2022-11-23 01:25:01,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9169844Z [2022-11-23 01:25:01,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:30:19.9170130Z [2022-11-23 01:25:01,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:30:19.9170458Z [2022-11-23 01:25:01,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9170781Z [2022-11-23 01:25:01,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:30:19.9171239Z [2022-11-23 01:25:01,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9171650Z [2022-11-23 01:25:01,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9172094Z [2022-11-23 01:25:01,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9172691Z [2022-11-23 01:25:01,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9173184Z [2022-11-23 01:25:01,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:30:19.9173710Z [2022-11-23 01:25:01,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:30:19.9174030Z [2022-11-23 01:25:01,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9174392Z [2022-11-23 01:25:01,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.9174616Z [2022-11-23 01:25:01,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:30:19.9175018Z [2022-11-23 01:25:01,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3403
2022-11-23T01:30:19.9175268Z [2022-11-23 01:25:01,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9175583Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9175841Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:30:19.9176128Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:30:19.9176622Z [2022-11-23 01:25:01,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9176924Z [2022-11-23 01:25:01,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:30:19.9177381Z [2022-11-23 01:25:01,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9177784Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9178271Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9178859Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9179346Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:30:19.9179876Z [2022-11-23 01:25:01,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:30:19.9180186Z [2022-11-23 01:25:01,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9180542Z [2022-11-23 01:25:01,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.9180780Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST h [TensorVariable()]
2022-11-23T01:30:19.9181089Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3404
2022-11-23T01:30:19.9181298Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9181536Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:19.9181799Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9182088Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9182405Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9182746Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9183120Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST h [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9183544Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9183790Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9184166Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e3050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3396>
2022-11-23T01:30:19.9184410Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9184644Z [2022-11-23 01:25:01,646] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9184896Z [2022-11-23 01:25:01,649] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9185170Z [2022-11-23 01:25:01,679] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9185359Z [2022-11-23 01:25:01,679] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9185492Z  __compiled_fn_208 <eval_with_key>.1709 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9185580Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9185740Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9185857Z call_function, hardswish_, aten.hardswish_, (add,), {}
2022-11-23T01:30:19.9186029Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9186143Z call_function, hardtanh_, aten.hardtanh_, (add_1,), {}
2022-11-23T01:30:19.9186312Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9186428Z call_function, leaky_relu_, aten.leaky_relu_, (add_2,), {}
2022-11-23T01:30:19.9186598Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9186690Z call_function, silu_, aten.silu_, (add_3,), {}
2022-11-23T01:30:19.9186858Z call_function, add_4, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9186961Z call_function, log1p, aten.log1p, (add_4,), {}
2022-11-23T01:30:19.9187131Z call_function, add_5, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9187400Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7ff5d7c59c60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:30:19.9187537Z call_function, masked_fill_, aten.masked_fill_, (add_5, zeros_like, 99.0), {}
2022-11-23T01:30:19.9187705Z call_function, add_6, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9187970Z call_function, ones_like, <built-in method ones_like of type object at 0x7ff5d7c59c60>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:30:19.9188096Z call_function, masked_fill__1, aten.masked_fill_, (add_6, ones_like, 99.0), {}
2022-11-23T01:30:19.9188270Z output, output, output, ((hardswish_, hardtanh_, leaky_relu_, silu_, log1p, masked_fill_, masked_fill__1),), {}
2022-11-23T01:30:19.9188276Z 
2022-11-23T01:30:19.9188602Z [2022-11-23 01:25:01,680] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9188697Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9188785Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9188873Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9188962Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9189045Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9189120Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9189193Z              12 RETURN_VALUE
2022-11-23T01:30:19.9189199Z 
2022-11-23T01:30:19.9189258Z  
2022-11-23T01:30:19.9189581Z [2022-11-23 01:25:01,680] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9189692Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_208)
2022-11-23T01:30:19.9189807Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9189897Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9189973Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9190046Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9190148Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9190248Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9190335Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9190412Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.9190510Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9190596Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9190660Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9190784Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9190870Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:19.9190946Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.9191044Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9191129Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:19.9191202Z              34 BINARY_SUBSCR
2022-11-23T01:30:19.9191288Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9191372Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:19.9191445Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.9191541Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9191623Z              44 LOAD_CONST               6 (5)
2022-11-23T01:30:19.9191695Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.9191790Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9191874Z              50 LOAD_CONST               7 (6)
2022-11-23T01:30:19.9191938Z              52 BINARY_SUBSCR
2022-11-23T01:30:19.9192022Z              54 BUILD_TUPLE              7
2022-11-23T01:30:19.9192097Z              56 RETURN_VALUE
2022-11-23T01:30:19.9192103Z 
2022-11-23T01:30:19.9192162Z  
2022-11-23T01:30:19.9192344Z [2022-11-23 01:25:01,682] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9192412Z  - 
2022-11-23T01:30:19.9192530Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9192582Z             {
2022-11-23T01:30:19.9192719Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9192904Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9193021Z                 'obj_weakref': None
2022-11-23T01:30:19.9193244Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9193306Z             }
2022-11-23T01:30:19.9193367Z             
2022-11-23T01:30:19.9193425Z  - 
2022-11-23T01:30:19.9193547Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9193609Z             {
2022-11-23T01:30:19.9193750Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9193946Z                 'code': None,
2022-11-23T01:30:19.9194164Z                 'obj_weakref': <weakref at 0x7ff5a80d0130; to 'Tensor' at 0x7ff58fe3c8b0>
2022-11-23T01:30:19.9194416Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9194467Z             }
2022-11-23T01:30:19.9194529Z             
2022-11-23T01:30:19.9194598Z  - 
2022-11-23T01:30:19.9194727Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9194788Z             {
2022-11-23T01:30:19.9194920Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9195087Z                 'code': ['___check_obj_id(model, 140693070181952)'],
2022-11-23T01:30:19.9195192Z                 'obj_weakref': None
2022-11-23T01:30:19.9195423Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9195488Z             }
2022-11-23T01:30:19.9195554Z             
2022-11-23T01:30:19.9195622Z  - 
2022-11-23T01:30:19.9195789Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9195850Z             {
2022-11-23T01:30:19.9195974Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9196187Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9196305Z                 'obj_weakref': None
2022-11-23T01:30:19.9196525Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9196590Z             }
2022-11-23T01:30:19.9196650Z             
2022-11-23T01:30:19.9196716Z  - 
2022-11-23T01:30:19.9196831Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.9196891Z             {
2022-11-23T01:30:19.9197007Z                 'guard_types': None,
2022-11-23T01:30:19.9197142Z                 'code': None,
2022-11-23T01:30:19.9197256Z                 'obj_weakref': None
2022-11-23T01:30:19.9197374Z                 'guarded_class': None
2022-11-23T01:30:19.9197427Z             }
2022-11-23T01:30:19.9197487Z             
2022-11-23T01:30:19.9197553Z  - 
2022-11-23T01:30:19.9197683Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9197745Z             {
2022-11-23T01:30:19.9197862Z                 'guard_types': None,
2022-11-23T01:30:19.9197965Z                 'code': None,
2022-11-23T01:30:19.9198069Z                 'obj_weakref': None
2022-11-23T01:30:19.9198187Z                 'guarded_class': None
2022-11-23T01:30:19.9198247Z             }
2022-11-23T01:30:19.9198306Z             
2022-11-23T01:30:19.9198371Z  - 
2022-11-23T01:30:19.9198511Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:30:19.9198572Z             {
2022-11-23T01:30:19.9198701Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.9198859Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:30:19.9198980Z                 'obj_weakref': None
2022-11-23T01:30:19.9199206Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:19.9199271Z             }
2022-11-23T01:30:19.9199331Z             
2022-11-23T01:30:19.9199593Z [2022-11-23 01:25:01,742] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 206
2022-11-23T01:30:19.9199948Z [2022-11-23 01:25:03,885] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xi/cxixy7fqe4arxdntqhrbqqf3hujekx357vq24knajm2kanntl44g.py
2022-11-23T01:30:19.9200207Z [2022-11-23 01:25:03,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 206
2022-11-23T01:30:19.9200213Z 
2022-11-23T01:30:19.9200305Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9200371Z import torch
2022-11-23T01:30:19.9200442Z import random
2022-11-23T01:30:19.9200557Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9200680Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9200685Z 
2022-11-23T01:30:19.9200765Z aten = torch.ops.aten
2022-11-23T01:30:19.9200890Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9200980Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9200985Z 
2022-11-23T01:30:19.9200989Z 
2022-11-23T01:30:19.9201122Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9201325Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9201443Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9201539Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.9201633Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:19.9201725Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:19.9201804Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:19.9201897Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:19.9201988Z                        float* __restrict__ out_ptr5,
2022-11-23T01:30:19.9202106Z                        float* __restrict__ out_ptr6)
2022-11-23T01:30:19.9202168Z {
2022-11-23T01:30:19.9202263Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9202324Z     {
2022-11-23T01:30:19.9202388Z         #pragma omp for 
2022-11-23T01:30:19.9202468Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:19.9202530Z         {
2022-11-23T01:30:19.9202591Z             {
2022-11-23T01:30:19.9202653Z                 {
2022-11-23T01:30:19.9202744Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9202847Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:19.9202925Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:19.9203024Z                     auto tmp3 = static_cast<float>(3);
2022-11-23T01:30:19.9203112Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.9203273Z                     auto tmp5 = static_cast<float>(0.0);
2022-11-23T01:30:19.9203383Z                     auto tmp6 = std::max(tmp4, tmp5);
2022-11-23T01:30:19.9203485Z                     auto tmp7 = static_cast<float>(6.0);
2022-11-23T01:30:19.9203586Z                     auto tmp8 = std::min(tmp6, tmp7);
2022-11-23T01:30:19.9203662Z                     auto tmp9 = tmp2 * tmp8;
2022-11-23T01:30:19.9203765Z                     auto tmp10 = static_cast<float>(6);
2022-11-23T01:30:19.9203859Z                     auto tmp11 = tmp9 / tmp10;
2022-11-23T01:30:19.9204020Z                     auto tmp12 = static_cast<float>(-1.0);
2022-11-23T01:30:19.9204126Z                     auto tmp13 = std::max(tmp2, tmp12);
2022-11-23T01:30:19.9204232Z                     auto tmp14 = static_cast<float>(1.0);
2022-11-23T01:30:19.9204336Z                     auto tmp15 = std::min(tmp13, tmp14);
2022-11-23T01:30:19.9204437Z                     auto tmp16 = static_cast<float>(0);
2022-11-23T01:30:19.9204516Z                     auto tmp17 = tmp2 > tmp16;
2022-11-23T01:30:19.9204625Z                     auto tmp18 = static_cast<float>(0.01);
2022-11-23T01:30:19.9204718Z                     auto tmp19 = tmp2 * tmp18;
2022-11-23T01:30:19.9204819Z                     auto tmp20 = tmp17 ? tmp2 : tmp19;
2022-11-23T01:30:19.9204967Z                     auto tmp21 = std::exp(-tmp2);
2022-11-23T01:30:19.9205057Z                     auto tmp22 = 1 / (1 + tmp21);
2022-11-23T01:30:19.9205148Z                     auto tmp23 = tmp2 * tmp22;
2022-11-23T01:30:19.9205235Z                     auto tmp24 = static_cast<bool>(0);
2022-11-23T01:30:19.9205341Z                     auto tmp25 = static_cast<float>(99.0);
2022-11-23T01:30:19.9205440Z                     auto tmp26 = tmp24 ? tmp25 : tmp2;
2022-11-23T01:30:19.9205540Z                     auto tmp27 = static_cast<bool>(1);
2022-11-23T01:30:19.9205637Z                     auto tmp28 = tmp27 ? tmp25 : tmp2;
2022-11-23T01:30:19.9205729Z                     auto tmp29 = tmp2 + tmp1;
2022-11-23T01:30:19.9205828Z                     auto tmp30 = std::log(tmp29);
2022-11-23T01:30:19.9205914Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:30:19.9205990Z                     out_ptr1[i0] = tmp15;
2022-11-23T01:30:19.9206074Z                     out_ptr2[i0] = tmp20;
2022-11-23T01:30:19.9206157Z                     out_ptr3[i0] = tmp23;
2022-11-23T01:30:19.9206239Z                     out_ptr4[i0] = tmp26;
2022-11-23T01:30:19.9206322Z                     out_ptr5[i0] = tmp28;
2022-11-23T01:30:19.9206405Z                     out_ptr6[i0] = tmp30;
2022-11-23T01:30:19.9206471Z                 }
2022-11-23T01:30:19.9206522Z             }
2022-11-23T01:30:19.9206585Z         }
2022-11-23T01:30:19.9206648Z     }
2022-11-23T01:30:19.9206708Z }
2022-11-23T01:30:19.9206785Z ''')
2022-11-23T01:30:19.9206790Z 
2022-11-23T01:30:19.9206794Z 
2022-11-23T01:30:19.9206886Z async_compile.wait(globals())
2022-11-23T01:30:19.9206958Z del async_compile
2022-11-23T01:30:19.9206963Z 
2022-11-23T01:30:19.9207024Z def call(args):
2022-11-23T01:30:19.9207094Z     arg0_1, = args
2022-11-23T01:30:19.9207168Z     args.clear()
2022-11-23T01:30:19.9207389Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9207584Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9207772Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9207958Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9208129Z     buf4 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9208313Z     buf5 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9208499Z     buf6 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9208786Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2022-11-23T01:30:19.9208886Z     del arg0_1
2022-11-23T01:30:19.9208993Z     return (buf0, buf1, buf2, buf3, buf6, buf4, buf5, )
2022-11-23T01:30:19.9209000Z 
2022-11-23T01:30:19.9209004Z 
2022-11-23T01:30:19.9209083Z if __name__ == "__main__":
2022-11-23T01:30:19.9209198Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9209321Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9209500Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9209608Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.9209613Z 
2022-11-23T01:30:19.9209680Z ok (2.349s)
2022-11-23T01:30:19.9209993Z   test_inplace_add_cpu (__main__.CpuTests) ... [2022-11-23 01:25:03,901] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.9210309Z [2022-11-23 01:25:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3174
2022-11-23T01:30:19.9210519Z [2022-11-23 01:25:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9210758Z [2022-11-23 01:25:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:30:19.9211031Z [2022-11-23 01:25:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:30:19.9211336Z [2022-11-23 01:25:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:30:19.9211568Z [2022-11-23 01:25:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9211799Z [2022-11-23 01:25:03,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.9212037Z [2022-11-23 01:25:03,904] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.9212330Z [2022-11-23 01:25:03,908] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:30:19.9212591Z [2022-11-23 01:25:03,908] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:30:19.9212826Z [2022-11-23 01:25:03,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.9213013Z [2022-11-23 01:25:03,909] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9213144Z  __compiled_fn_209 <eval_with_key>.1712 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9213225Z placeholder, x, x, (), {}
2022-11-23T01:30:19.9213293Z placeholder, y, y, (), {}
2022-11-23T01:30:19.9213380Z call_method, add_, add_, (x, y), {}
2022-11-23T01:30:19.9213478Z output, output, output, ((add_,),), {}
2022-11-23T01:30:19.9213483Z 
2022-11-23T01:30:19.9213802Z [2022-11-23 01:25:03,909] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 
2022-11-23T01:30:19.9213893Z 3174           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9214014Z                2 LOAD_METHOD              0 (add_)
2022-11-23T01:30:19.9214103Z                4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9214178Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9214253Z                8 RETURN_VALUE
2022-11-23T01:30:19.9214258Z 
2022-11-23T01:30:19.9214317Z  
2022-11-23T01:30:19.9214641Z [2022-11-23 01:25:03,909] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3172 
2022-11-23T01:30:19.9214748Z 3172           0 LOAD_GLOBAL              1 (__compiled_fn_209)
2022-11-23T01:30:19.9214836Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9214923Z                4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9215011Z                6 CALL_FUNCTION            2
2022-11-23T01:30:19.9215118Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9215190Z               10 RETURN_VALUE
2022-11-23T01:30:19.9215195Z 
2022-11-23T01:30:19.9215255Z  
2022-11-23T01:30:19.9215434Z [2022-11-23 01:25:03,910] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9215503Z  - 
2022-11-23T01:30:19.9215620Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:19.9215681Z             {
2022-11-23T01:30:19.9215811Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9215915Z                 'code': None,
2022-11-23T01:30:19.9216128Z                 'obj_weakref': <weakref at 0x7ff58fcb9da0; to 'Tensor' at 0x7ff58fd25d00>
2022-11-23T01:30:19.9216379Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9216558Z             }
2022-11-23T01:30:19.9216621Z             
2022-11-23T01:30:19.9216690Z  - 
2022-11-23T01:30:19.9216796Z             local 'y' TENSOR_MATCH
2022-11-23T01:30:19.9216861Z             {
2022-11-23T01:30:19.9217000Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9217108Z                 'code': None,
2022-11-23T01:30:19.9217318Z                 'obj_weakref': <weakref at 0x7ff58fcbb150; to 'Tensor' at 0x7ff5a80d21b0>
2022-11-23T01:30:19.9217568Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9217630Z             }
2022-11-23T01:30:19.9217680Z             
2022-11-23T01:30:19.9217746Z ok (0.016s)
2022-11-23T01:30:19.9218077Z   test_inplace_mixed_dtype_ops_cpu (__main__.CpuTests) ... [2022-11-23 01:25:03,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.9218393Z [2022-11-23 01:25:03,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3188
2022-11-23T01:30:19.9218601Z [2022-11-23 01:25:03,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9218839Z [2022-11-23 01:25:03,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:19.9219114Z [2022-11-23 01:25:03,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9219424Z [2022-11-23 01:25:03,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), float)]
2022-11-23T01:30:19.9219692Z [2022-11-23 01:25:03,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9219919Z [2022-11-23 01:25:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:30:19.9220226Z [2022-11-23 01:25:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3189
2022-11-23T01:30:19.9220428Z [2022-11-23 01:25:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:30:19.9220719Z [2022-11-23 01:25:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:30:19.9220991Z [2022-11-23 01:25:03,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:30:19.9221295Z [2022-11-23 01:25:03,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:30:19.9221529Z [2022-11-23 01:25:03,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T01:30:19.9221839Z [2022-11-23 01:25:03,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3190
2022-11-23T01:30:19.9222043Z [2022-11-23 01:25:03,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w []
2022-11-23T01:30:19.9222280Z [2022-11-23 01:25:03,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul_ [TensorVariable()]
2022-11-23T01:30:19.9222578Z [2022-11-23 01:25:03,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), mul_)]
2022-11-23T01:30:19.9222885Z [2022-11-23 01:25:03,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), mul_), TensorVariable()]
2022-11-23T01:30:19.9223128Z [2022-11-23 01:25:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9223359Z [2022-11-23 01:25:03,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.9223599Z [2022-11-23 01:25:03,928] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.9223835Z [2022-11-23 01:25:03,936] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.9224023Z [2022-11-23 01:25:03,937] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9224157Z  __compiled_fn_210 <eval_with_key>.1718 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9224239Z placeholder, x, x, (), {}
2022-11-23T01:30:19.9224309Z placeholder, y, y, (), {}
2022-11-23T01:30:19.9224399Z call_method, float_1, float, (y,), {}
2022-11-23T01:30:19.9224577Z call_function, add, <built-in function add>, (x, float_1), {}
2022-11-23T01:30:19.9224667Z call_method, add_, add_, (add, y), {}
2022-11-23T01:30:19.9224754Z call_method, mul_, mul_, (add_, y), {}
2022-11-23T01:30:19.9224845Z output, output, output, ((mul_,),), {}
2022-11-23T01:30:19.9224850Z 
2022-11-23T01:30:19.9225174Z [2022-11-23 01:25:03,937] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 
2022-11-23T01:30:19.9225262Z 3188           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9225340Z                2 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9225433Z                4 LOAD_METHOD              0 (float)
2022-11-23T01:30:19.9225521Z                6 CALL_METHOD              0
2022-11-23T01:30:19.9225592Z                8 BINARY_ADD
2022-11-23T01:30:19.9225681Z               10 STORE_FAST               2 (z)
2022-11-23T01:30:19.9225686Z 
2022-11-23T01:30:19.9225772Z 3189          12 LOAD_FAST                2 (z)
2022-11-23T01:30:19.9225862Z               14 LOAD_METHOD              1 (add_)
2022-11-23T01:30:19.9225935Z               16 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9226021Z               18 CALL_METHOD              1
2022-11-23T01:30:19.9226106Z               20 STORE_FAST               3 (w)
2022-11-23T01:30:19.9226111Z 
2022-11-23T01:30:19.9226194Z 3190          22 LOAD_FAST                3 (w)
2022-11-23T01:30:19.9226284Z               24 LOAD_METHOD              2 (mul_)
2022-11-23T01:30:19.9226368Z               26 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9226453Z               28 CALL_METHOD              1
2022-11-23T01:30:19.9226517Z               30 RETURN_VALUE
2022-11-23T01:30:19.9226533Z 
2022-11-23T01:30:19.9226580Z  
2022-11-23T01:30:19.9226929Z [2022-11-23 01:25:03,937] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3186 
2022-11-23T01:30:19.9227038Z 3186           0 LOAD_GLOBAL              3 (__compiled_fn_210)
2022-11-23T01:30:19.9227125Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9227211Z                4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9227298Z                6 CALL_FUNCTION            2
2022-11-23T01:30:19.9227386Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9227449Z               10 RETURN_VALUE
2022-11-23T01:30:19.9227453Z 
2022-11-23T01:30:19.9227511Z  
2022-11-23T01:30:19.9227692Z [2022-11-23 01:25:03,938] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9227759Z  - 
2022-11-23T01:30:19.9227877Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:19.9227939Z             {
2022-11-23T01:30:19.9228109Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9228202Z                 'code': None,
2022-11-23T01:30:19.9228417Z                 'obj_weakref': <weakref at 0x7ff58fecaf70; to 'Tensor' at 0x7ff59c14a7a0>
2022-11-23T01:30:19.9228668Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9228733Z             }
2022-11-23T01:30:19.9228795Z             
2022-11-23T01:30:19.9228865Z  - 
2022-11-23T01:30:19.9228982Z             local 'y' TENSOR_MATCH
2022-11-23T01:30:19.9229032Z             {
2022-11-23T01:30:19.9229169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9229274Z                 'code': None,
2022-11-23T01:30:19.9229484Z                 'obj_weakref': <weakref at 0x7ff58fecabb0; to 'Tensor' at 0x7ff59c148e00>
2022-11-23T01:30:19.9229732Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9229796Z             }
2022-11-23T01:30:19.9229856Z             
2022-11-23T01:30:19.9230114Z [2022-11-23 01:25:03,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 207
2022-11-23T01:30:19.9230468Z [2022-11-23 01:25:06,007] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zr/czr7xa52irvaegb5fsdzvkwxn3qxemuhdu6jdz7ala5cn7vi4o5z.py
2022-11-23T01:30:19.9230729Z [2022-11-23 01:25:06,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 207
2022-11-23T01:30:19.9230735Z 
2022-11-23T01:30:19.9230826Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9230896Z import torch
2022-11-23T01:30:19.9230964Z import random
2022-11-23T01:30:19.9231077Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9231195Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9231200Z 
2022-11-23T01:30:19.9231276Z aten = torch.ops.aten
2022-11-23T01:30:19.9231396Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9231488Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9231493Z 
2022-11-23T01:30:19.9231498Z 
2022-11-23T01:30:19.9231633Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9231838Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9231953Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.9232054Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9232158Z                        const double* __restrict__ in_ptr1)
2022-11-23T01:30:19.9232219Z {
2022-11-23T01:30:19.9232304Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9232363Z     {
2022-11-23T01:30:19.9232440Z         #pragma omp for 
2022-11-23T01:30:19.9232518Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.9232580Z         {
2022-11-23T01:30:19.9232642Z             {
2022-11-23T01:30:19.9232693Z                 {
2022-11-23T01:30:19.9232785Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9232875Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.9233006Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:19.9233098Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:19.9233204Z                     auto tmp4 = static_cast<double>(tmp3);
2022-11-23T01:30:19.9233289Z                     auto tmp5 = tmp4 + tmp1;
2022-11-23T01:30:19.9233382Z                     auto tmp6 = static_cast<float>(tmp5);
2022-11-23T01:30:19.9233486Z                     auto tmp7 = static_cast<double>(tmp6);
2022-11-23T01:30:19.9233573Z                     auto tmp8 = tmp7 * tmp1;
2022-11-23T01:30:19.9233674Z                     auto tmp9 = static_cast<float>(tmp8);
2022-11-23T01:30:19.9233763Z                     in_out_ptr0[i0] = tmp9;
2022-11-23T01:30:19.9233895Z                 }
2022-11-23T01:30:19.9233958Z             }
2022-11-23T01:30:19.9234007Z         }
2022-11-23T01:30:19.9234102Z     }
2022-11-23T01:30:19.9234163Z }
2022-11-23T01:30:19.9234244Z ''')
2022-11-23T01:30:19.9234249Z 
2022-11-23T01:30:19.9234254Z 
2022-11-23T01:30:19.9234343Z async_compile.wait(globals())
2022-11-23T01:30:19.9234416Z del async_compile
2022-11-23T01:30:19.9234421Z 
2022-11-23T01:30:19.9234491Z def call(args):
2022-11-23T01:30:19.9234565Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.9234623Z     args.clear()
2022-11-23T01:30:19.9234817Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9234903Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:19.9235061Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2022-11-23T01:30:19.9235127Z     del arg0_1
2022-11-23T01:30:19.9235192Z     del arg1_1
2022-11-23T01:30:19.9235262Z     return (buf1, )
2022-11-23T01:30:19.9235267Z 
2022-11-23T01:30:19.9235271Z 
2022-11-23T01:30:19.9235334Z if __name__ == "__main__":
2022-11-23T01:30:19.9235444Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9235568Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9235762Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9235956Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:19.9236067Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.9236072Z 
2022-11-23T01:30:19.9236139Z ok (2.097s)
2022-11-23T01:30:19.9236454Z   test_input_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:06,012] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.9236756Z [2022-11-23 01:25:06,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3216
2022-11-23T01:30:19.9236963Z [2022-11-23 01:25:06,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9237199Z [2022-11-23 01:25:06,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.9237484Z [2022-11-23 01:25:06,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9237719Z [2022-11-23 01:25:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:30:19.9238029Z [2022-11-23 01:25:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3217
2022-11-23T01:30:19.9238236Z [2022-11-23 01:25:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9238476Z [2022-11-23 01:25:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T01:30:19.9238746Z [2022-11-23 01:25:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T01:30:19.9239050Z [2022-11-23 01:25:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T01:30:19.9239316Z [2022-11-23 01:25:06,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.9239623Z [2022-11-23 01:25:06,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3218
2022-11-23T01:30:19.9239826Z [2022-11-23 01:25:06,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9240061Z [2022-11-23 01:25:06,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.9240339Z [2022-11-23 01:25:06,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9240575Z [2022-11-23 01:25:06,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:30:19.9240882Z [2022-11-23 01:25:06,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3219
2022-11-23T01:30:19.9241125Z [2022-11-23 01:25:06,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9241359Z [2022-11-23 01:25:06,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:19.9241625Z [2022-11-23 01:25:06,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9241854Z [2022-11-23 01:25:06,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:30:19.9242138Z [2022-11-23 01:25:06,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9242383Z [2022-11-23 01:25:06,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9242614Z [2022-11-23 01:25:06,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.9242860Z [2022-11-23 01:25:06,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.9243154Z [2022-11-23 01:25:06,021] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:30:19.9243412Z [2022-11-23 01:25:06,021] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:30:19.9243644Z [2022-11-23 01:25:06,021] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.9243832Z [2022-11-23 01:25:06,021] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9243956Z  __compiled_fn_211 <eval_with_key>.1721 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9244036Z placeholder, a, a, (), {}
2022-11-23T01:30:19.9244200Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T01:30:19.9244293Z call_method, copy_, copy_, (a, add), {}
2022-11-23T01:30:19.9244460Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T01:30:19.9244623Z call_function, mul, <built-in function mul>, (a, add), {}
2022-11-23T01:30:19.9244813Z call_function, truediv, <built-in function truediv>, (mul, add_1), {}
2022-11-23T01:30:19.9244901Z output, output, output, ((truediv,),), {}
2022-11-23T01:30:19.9244906Z 
2022-11-23T01:30:19.9245227Z [2022-11-23 01:25:06,022] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 
2022-11-23T01:30:19.9245315Z 3216           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9245406Z                2 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9245478Z                4 BINARY_ADD
2022-11-23T01:30:19.9245565Z                6 STORE_FAST               1 (b)
2022-11-23T01:30:19.9245570Z 
2022-11-23T01:30:19.9245655Z 3217           8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9245747Z               10 LOAD_METHOD              0 (copy_)
2022-11-23T01:30:19.9245823Z               12 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9245909Z               14 CALL_METHOD              1
2022-11-23T01:30:19.9246011Z               16 POP_TOP
2022-11-23T01:30:19.9246017Z 
2022-11-23T01:30:19.9246103Z 3218          18 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9246189Z               20 LOAD_CONST               2 (2)
2022-11-23T01:30:19.9246263Z               22 BINARY_ADD
2022-11-23T01:30:19.9246352Z               24 STORE_FAST               2 (c)
2022-11-23T01:30:19.9246356Z 
2022-11-23T01:30:19.9246442Z 3219          26 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9246514Z               28 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9246597Z               30 BINARY_MULTIPLY
2022-11-23T01:30:19.9246682Z               32 LOAD_FAST                2 (c)
2022-11-23T01:30:19.9246765Z               34 BINARY_TRUE_DIVIDE
2022-11-23T01:30:19.9246842Z               36 RETURN_VALUE
2022-11-23T01:30:19.9246876Z 
2022-11-23T01:30:19.9246937Z  
2022-11-23T01:30:19.9247265Z [2022-11-23 01:25:06,022] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3215 
2022-11-23T01:30:19.9247363Z 3215           0 LOAD_GLOBAL              1 (__compiled_fn_211)
2022-11-23T01:30:19.9247451Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9247540Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.9247635Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9247711Z                8 RETURN_VALUE
2022-11-23T01:30:19.9247716Z 
2022-11-23T01:30:19.9247778Z  
2022-11-23T01:30:19.9247960Z [2022-11-23 01:25:06,022] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9248030Z  - 
2022-11-23T01:30:19.9248136Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:19.9248205Z             {
2022-11-23T01:30:19.9248349Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9248457Z                 'code': None,
2022-11-23T01:30:19.9248674Z                 'obj_weakref': <weakref at 0x7ff59c138a90; to 'Tensor' at 0x7ff58fec9260>
2022-11-23T01:30:19.9248931Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9248996Z             }
2022-11-23T01:30:19.9249048Z             
2022-11-23T01:30:19.9249115Z ok (0.015s)
2022-11-23T01:30:19.9249432Z   test_input_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:06,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.9249747Z [2022-11-23 01:25:06,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3239
2022-11-23T01:30:19.9249954Z [2022-11-23 01:25:06,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9250194Z [2022-11-23 01:25:06,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.9250476Z [2022-11-23 01:25:06,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9250714Z [2022-11-23 01:25:06,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:30:19.9251024Z [2022-11-23 01:25:06,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3240
2022-11-23T01:30:19.9251219Z [2022-11-23 01:25:06,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9251459Z [2022-11-23 01:25:06,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:19.9251737Z [2022-11-23 01:25:06,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:19.9252052Z [2022-11-23 01:25:06,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:30:19.9252298Z [2022-11-23 01:25:06,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T01:30:19.9252611Z [2022-11-23 01:25:06,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T01:30:19.9253051Z [2022-11-23 01:25:06,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9253442Z [2022-11-23 01:25:06,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 66.0 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9253877Z [2022-11-23 01:25:06,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(float)]
2022-11-23T01:30:19.9254318Z [2022-11-23 01:25:06,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:19.9254770Z [2022-11-23 01:25:06,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.9255232Z [2022-11-23 01:25:06,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:19.9255732Z [2022-11-23 01:25:06,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:19.9256035Z [2022-11-23 01:25:06,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T01:30:19.9256275Z [2022-11-23 01:25:06,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.9256687Z [2022-11-23 01:25:06,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3241
2022-11-23T01:30:19.9256894Z [2022-11-23 01:25:06,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9257132Z [2022-11-23 01:25:06,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.9257413Z [2022-11-23 01:25:06,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9257651Z [2022-11-23 01:25:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:30:19.9257964Z [2022-11-23 01:25:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3242
2022-11-23T01:30:19.9258175Z [2022-11-23 01:25:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:30:19.9258413Z [2022-11-23 01:25:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:30:19.9258665Z [2022-11-23 01:25:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9258909Z [2022-11-23 01:25:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9259142Z [2022-11-23 01:25:06,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.9259383Z [2022-11-23 01:25:06,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.9259723Z [2022-11-23 01:25:06,036] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:30:19.9259981Z [2022-11-23 01:25:06,036] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:30:19.9260215Z [2022-11-23 01:25:06,036] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.9260403Z [2022-11-23 01:25:06,037] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9260536Z  __compiled_fn_212 <eval_with_key>.1724 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9260607Z placeholder, a, a, (), {}
2022-11-23T01:30:19.9260771Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T01:30:19.9260863Z call_method, view, view, (a, 64), {}
2022-11-23T01:30:19.9261135Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, ([66.0],), {'device': device(type='cpu')}
2022-11-23T01:30:19.9261271Z call_method, copy_, copy_, (view, tensor), {}
2022-11-23T01:30:19.9261440Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T01:30:19.9261541Z output, output, output, ((add, add_1),), {}
2022-11-23T01:30:19.9261547Z 
2022-11-23T01:30:19.9261871Z [2022-11-23 01:25:06,037] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 
2022-11-23T01:30:19.9261949Z 3239           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9262038Z                2 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9262110Z                4 BINARY_ADD
2022-11-23T01:30:19.9262197Z                6 STORE_FAST               1 (b)
2022-11-23T01:30:19.9262202Z 
2022-11-23T01:30:19.9262286Z 3240           8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9262378Z               10 LOAD_METHOD              0 (view)
2022-11-23T01:30:19.9262468Z               12 LOAD_CONST               2 (64)
2022-11-23T01:30:19.9262543Z               14 CALL_METHOD              1
2022-11-23T01:30:19.9262633Z               16 LOAD_METHOD              1 (copy_)
2022-11-23T01:30:19.9262726Z               18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:19.9262816Z               20 LOAD_ATTR                3 (tensor)
2022-11-23T01:30:19.9262904Z               22 LOAD_CONST               3 (66.0)
2022-11-23T01:30:19.9262988Z               24 BUILD_LIST               1
2022-11-23T01:30:19.9263072Z               26 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9263152Z               28 LOAD_ATTR                4 (device)
2022-11-23T01:30:19.9263299Z               30 LOAD_CONST               4 (('device',))
2022-11-23T01:30:19.9263390Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:30:19.9263475Z               34 CALL_METHOD              1
2022-11-23T01:30:19.9263546Z               36 POP_TOP
2022-11-23T01:30:19.9263551Z 
2022-11-23T01:30:19.9263640Z 3241          38 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9263725Z               40 LOAD_CONST               5 (2)
2022-11-23T01:30:19.9263797Z               42 BINARY_ADD
2022-11-23T01:30:19.9263875Z               44 STORE_FAST               2 (c)
2022-11-23T01:30:19.9263880Z 
2022-11-23T01:30:19.9263965Z 3242          46 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9264050Z               48 LOAD_FAST                2 (c)
2022-11-23T01:30:19.9264135Z               50 BUILD_TUPLE              2
2022-11-23T01:30:19.9264210Z               52 RETURN_VALUE
2022-11-23T01:30:19.9264215Z 
2022-11-23T01:30:19.9264273Z  
2022-11-23T01:30:19.9264595Z [2022-11-23 01:25:06,037] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3238 
2022-11-23T01:30:19.9264702Z 3238           0 LOAD_GLOBAL              5 (__compiled_fn_212)
2022-11-23T01:30:19.9264777Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9264867Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.9264973Z                6 STORE_FAST               3 (___graph_out_0)
2022-11-23T01:30:19.9265098Z                8 LOAD_FAST                3 (___graph_out_0)
2022-11-23T01:30:19.9265189Z               10 LOAD_CONST               6 (0)
2022-11-23T01:30:19.9265265Z               12 BINARY_SUBSCR
2022-11-23T01:30:19.9265362Z               14 LOAD_FAST                3 (___graph_out_0)
2022-11-23T01:30:19.9265435Z               16 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9265509Z               18 BINARY_SUBSCR
2022-11-23T01:30:19.9265594Z               20 BUILD_TUPLE              2
2022-11-23T01:30:19.9265669Z               22 RETURN_VALUE
2022-11-23T01:30:19.9265673Z 
2022-11-23T01:30:19.9265732Z  
2022-11-23T01:30:19.9265913Z [2022-11-23 01:25:06,038] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9265981Z  - 
2022-11-23T01:30:19.9266084Z             local 'a' TYPE_MATCH
2022-11-23T01:30:19.9266145Z             {
2022-11-23T01:30:19.9266311Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:19.9266473Z                 'code': ['___check_type_id(a, 94571891517792)'],
2022-11-23T01:30:19.9266685Z                 'obj_weakref': <weakref at 0x7ff59c139a30; to 'Tensor' at 0x7ff5a8c2f510>
2022-11-23T01:30:19.9266936Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9266999Z             }
2022-11-23T01:30:19.9267051Z             
2022-11-23T01:30:19.9267121Z  - 
2022-11-23T01:30:19.9267238Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:19.9267300Z             {
2022-11-23T01:30:19.9267440Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9267543Z                 'code': None,
2022-11-23T01:30:19.9267751Z                 'obj_weakref': <weakref at 0x7ff59c139a30; to 'Tensor' at 0x7ff5a8c2f510>
2022-11-23T01:30:19.9268003Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9268057Z             }
2022-11-23T01:30:19.9268118Z             
2022-11-23T01:30:19.9268185Z  - 
2022-11-23T01:30:19.9268317Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9268379Z             {
2022-11-23T01:30:19.9268500Z                 'guard_types': None,
2022-11-23T01:30:19.9268591Z                 'code': None,
2022-11-23T01:30:19.9268707Z                 'obj_weakref': None
2022-11-23T01:30:19.9268826Z                 'guarded_class': None
2022-11-23T01:30:19.9268888Z             }
2022-11-23T01:30:19.9268952Z             
2022-11-23T01:30:19.9269018Z ok (0.016s)
2022-11-23T01:30:19.9269334Z   test_input_mutation3_cpu (__main__.CpuTests) ... [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.9269649Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3256
2022-11-23T01:30:19.9269847Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9270086Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:19.9270369Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9270605Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.9270911Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3257
2022-11-23T01:30:19.9271114Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9271347Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.9271639Z [2022-11-23 01:25:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9271901Z [2022-11-23 01:25:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.9272199Z [2022-11-23 01:25:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3258
2022-11-23T01:30:19.9272413Z [2022-11-23 01:25:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9272722Z [2022-11-23 01:25:06,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9272973Z [2022-11-23 01:25:06,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.sigmoid_)]
2022-11-23T01:30:19.9273260Z [2022-11-23 01:25:06,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sigmoid_), TensorVariable()]
2022-11-23T01:30:19.9273520Z [2022-11-23 01:25:06,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.9273899Z [2022-11-23 01:25:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3259
2022-11-23T01:30:19.9274111Z [2022-11-23 01:25:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9274351Z [2022-11-23 01:25:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:19.9274623Z [2022-11-23 01:25:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:19.9274925Z [2022-11-23 01:25:06,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:30:19.9275158Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.9275466Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3260
2022-11-23T01:30:19.9275672Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9275908Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:30:19.9276187Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9276421Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.9276728Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3261
2022-11-23T01:30:19.9276929Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9277150Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:30:19.9277440Z [2022-11-23 01:25:06,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9277675Z [2022-11-23 01:25:06,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:30:19.9277983Z [2022-11-23 01:25:06,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3262
2022-11-23T01:30:19.9278194Z [2022-11-23 01:25:06,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9278496Z [2022-11-23 01:25:06,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9278744Z [2022-11-23 01:25:06,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.relu_)]
2022-11-23T01:30:19.9279029Z [2022-11-23 01:25:06,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu_), TensorVariable()]
2022-11-23T01:30:19.9279300Z [2022-11-23 01:25:06,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.9279607Z [2022-11-23 01:25:06,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3263
2022-11-23T01:30:19.9279800Z [2022-11-23 01:25:06,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9280041Z [2022-11-23 01:25:06,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9280269Z [2022-11-23 01:25:06,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.9280506Z [2022-11-23 01:25:06,060] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.9280829Z [2022-11-23 01:25:06,063] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:30:19.9281089Z [2022-11-23 01:25:06,063] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:30:19.9281322Z [2022-11-23 01:25:06,063] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.9281511Z [2022-11-23 01:25:06,063] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9281644Z  __compiled_fn_213 <eval_with_key>.1727 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9281714Z placeholder, a, a, (), {}
2022-11-23T01:30:19.9281881Z call_function, iadd, <built-in function iadd>, (a, 1), {}
2022-11-23T01:30:19.9282053Z call_function, imul, <built-in function imul>, (iadd, 2), {}
2022-11-23T01:30:19.9282165Z call_function, sigmoid_, aten.sigmoid_, (imul,), {}
2022-11-23T01:30:19.9282258Z call_method, view, view, (imul, 64), {}
2022-11-23T01:30:19.9282436Z call_function, iadd_1, <built-in function iadd>, (view, 3), {}
2022-11-23T01:30:19.9282612Z call_function, imul_1, <built-in function imul>, (iadd_1, 4), {}
2022-11-23T01:30:19.9282708Z call_function, relu_, aten.relu_, (imul_1,), {}
2022-11-23T01:30:19.9282804Z output, output, output, ((imul_1,),), {}
2022-11-23T01:30:19.9282809Z 
2022-11-23T01:30:19.9283131Z [2022-11-23 01:25:06,064] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 
2022-11-23T01:30:19.9283222Z 3256           0 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9283310Z                2 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9283385Z                4 INPLACE_ADD
2022-11-23T01:30:19.9283471Z                6 STORE_FAST               0 (a)
2022-11-23T01:30:19.9283475Z 
2022-11-23T01:30:19.9283558Z 3257           8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9283632Z               10 LOAD_CONST               2 (2)
2022-11-23T01:30:19.9283716Z               12 INPLACE_MULTIPLY
2022-11-23T01:30:19.9283801Z               14 STORE_FAST               0 (a)
2022-11-23T01:30:19.9283806Z 
2022-11-23T01:30:19.9283900Z 3258          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9283997Z               18 LOAD_METHOD              1 (sigmoid_)
2022-11-23T01:30:19.9284081Z               20 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9284166Z               22 CALL_METHOD              1
2022-11-23T01:30:19.9284235Z               24 POP_TOP
2022-11-23T01:30:19.9284240Z 
2022-11-23T01:30:19.9284313Z 3259          26 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9284402Z               28 LOAD_METHOD              2 (view)
2022-11-23T01:30:19.9284489Z               30 LOAD_CONST               3 (64)
2022-11-23T01:30:19.9284577Z               32 CALL_METHOD              1
2022-11-23T01:30:19.9284664Z               34 STORE_FAST               0 (a)
2022-11-23T01:30:19.9284668Z 
2022-11-23T01:30:19.9284755Z 3260          36 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9284839Z               38 LOAD_CONST               4 (3)
2022-11-23T01:30:19.9284901Z               40 INPLACE_ADD
2022-11-23T01:30:19.9285025Z               42 STORE_FAST               0 (a)
2022-11-23T01:30:19.9285031Z 
2022-11-23T01:30:19.9285114Z 3261          44 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9285196Z               46 LOAD_CONST               5 (4)
2022-11-23T01:30:19.9285279Z               48 INPLACE_MULTIPLY
2022-11-23T01:30:19.9285363Z               50 STORE_FAST               0 (a)
2022-11-23T01:30:19.9285368Z 
2022-11-23T01:30:19.9285456Z 3262          52 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9285547Z               54 LOAD_METHOD              3 (relu_)
2022-11-23T01:30:19.9285618Z               56 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9285702Z               58 CALL_METHOD              1
2022-11-23T01:30:19.9285770Z               60 POP_TOP
2022-11-23T01:30:19.9285775Z 
2022-11-23T01:30:19.9285887Z 3263          62 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9285964Z               64 RETURN_VALUE
2022-11-23T01:30:19.9285969Z 
2022-11-23T01:30:19.9286029Z  
2022-11-23T01:30:19.9286356Z [2022-11-23 01:25:06,064] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3255 
2022-11-23T01:30:19.9286463Z 3255           0 LOAD_GLOBAL              4 (__compiled_fn_213)
2022-11-23T01:30:19.9286536Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9286627Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.9286718Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9286792Z                8 RETURN_VALUE
2022-11-23T01:30:19.9286797Z 
2022-11-23T01:30:19.9286857Z  
2022-11-23T01:30:19.9287039Z [2022-11-23 01:25:06,064] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9287107Z  - 
2022-11-23T01:30:19.9287213Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:19.9287277Z             {
2022-11-23T01:30:19.9287417Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9287524Z                 'code': None,
2022-11-23T01:30:19.9287737Z                 'obj_weakref': <weakref at 0x7ff5a819fce0; to 'Tensor' at 0x7ff59c13a610>
2022-11-23T01:30:19.9287988Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9288052Z             }
2022-11-23T01:30:19.9288113Z             
2022-11-23T01:30:19.9288168Z  - 
2022-11-23T01:30:19.9288296Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.9288358Z             {
2022-11-23T01:30:19.9288475Z                 'guard_types': None,
2022-11-23T01:30:19.9288582Z                 'code': None,
2022-11-23T01:30:19.9288697Z                 'obj_weakref': None
2022-11-23T01:30:19.9288805Z                 'guarded_class': None
2022-11-23T01:30:19.9288867Z             }
2022-11-23T01:30:19.9288927Z             
2022-11-23T01:30:19.9288994Z ok (0.026s)
2022-11-23T01:30:19.9289310Z   test_input_mutation4_cpu (__main__.CpuTests) ... [2022-11-23 01:25:06,067] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:19.9289625Z [2022-11-23 01:25:06,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3276
2022-11-23T01:30:19.9289842Z [2022-11-23 01:25:06,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9290209Z [2022-11-23 01:25:06,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9290528Z [2022-11-23 01:25:06,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu_ of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9290863Z [2022-11-23 01:25:06,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9291130Z [2022-11-23 01:25:06,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:19.9291439Z [2022-11-23 01:25:06,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3277
2022-11-23T01:30:19.9291645Z [2022-11-23 01:25:06,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:19.9291889Z [2022-11-23 01:25:06,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9292120Z [2022-11-23 01:25:06,068] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:19.9292361Z [2022-11-23 01:25:06,069] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:19.9292651Z [2022-11-23 01:25:06,070] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:30:19.9292943Z [2022-11-23 01:25:06,070] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:30:19.9293168Z [2022-11-23 01:25:06,070] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:19.9293354Z [2022-11-23 01:25:06,070] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9293486Z  __compiled_fn_214 <eval_with_key>.1730 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9293569Z placeholder, a, a, (), {}
2022-11-23T01:30:19.9293790Z call_function, relu_, <built-in method relu_ of type object at 0x7ff5d7c59c60>, (a,), {}
2022-11-23T01:30:19.9293882Z output, output, output, ((a,),), {}
2022-11-23T01:30:19.9293888Z 
2022-11-23T01:30:19.9294210Z [2022-11-23 01:25:06,070] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 
2022-11-23T01:30:19.9294307Z 3276           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9294398Z                2 LOAD_METHOD              1 (relu_)
2022-11-23T01:30:19.9294476Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9294561Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9294632Z                8 POP_TOP
2022-11-23T01:30:19.9294637Z 
2022-11-23T01:30:19.9294726Z 3277          10 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9294802Z               12 RETURN_VALUE
2022-11-23T01:30:19.9294807Z 
2022-11-23T01:30:19.9294869Z  
2022-11-23T01:30:19.9295191Z [2022-11-23 01:25:06,070] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3275 
2022-11-23T01:30:19.9295302Z 3275           0 LOAD_GLOBAL              2 (__compiled_fn_214)
2022-11-23T01:30:19.9295379Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9295470Z                4 CALL_FUNCTION            1
2022-11-23T01:30:19.9295565Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9295641Z                8 RETURN_VALUE
2022-11-23T01:30:19.9295645Z 
2022-11-23T01:30:19.9295710Z  
2022-11-23T01:30:19.9295895Z [2022-11-23 01:25:06,071] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9295966Z  - 
2022-11-23T01:30:19.9296073Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:19.9296138Z             {
2022-11-23T01:30:19.9296282Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9296390Z                 'code': None,
2022-11-23T01:30:19.9296726Z                 'obj_weakref': <weakref at 0x7ff5a80d3bf0; to 'Tensor' at 0x7ff59c138d10>
2022-11-23T01:30:19.9296982Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9297048Z             }
2022-11-23T01:30:19.9297098Z             
2022-11-23T01:30:19.9297169Z  - 
2022-11-23T01:30:19.9297301Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9297369Z             {
2022-11-23T01:30:19.9297492Z                 'guard_types': None,
2022-11-23T01:30:19.9297599Z                 'code': None,
2022-11-23T01:30:19.9297718Z                 'obj_weakref': None
2022-11-23T01:30:19.9297874Z                 'guarded_class': None
2022-11-23T01:30:19.9297939Z             }
2022-11-23T01:30:19.9298001Z             
2022-11-23T01:30:19.9298069Z ok (0.006s)
2022-11-23T01:30:19.9298399Z   test_invalid_operand_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:06,788] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9298715Z [2022-11-23 01:25:06,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9298933Z [2022-11-23 01:25:06,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9299174Z [2022-11-23 01:25:06,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9299499Z [2022-11-23 01:25:06,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9299823Z [2022-11-23 01:25:06,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9300168Z [2022-11-23 01:25:06,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9300487Z [2022-11-23 01:25:06,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9300868Z [2022-11-23 01:25:06,789] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d0b0710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466> 
2022-11-23T01:30:19.9300967Z  4467           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9301063Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.9301157Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.9301261Z                6 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:30:19.9301346Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:30:19.9301352Z 
2022-11-23T01:30:19.9301445Z 4468          10 LOAD_FAST                5 (slice_1)
2022-11-23T01:30:19.9301537Z               12 LOAD_FAST                2 (arg3_1)
2022-11-23T01:30:19.9301626Z               14 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9301716Z               16 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9301814Z               18 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:30:19.9301820Z 
2022-11-23T01:30:19.9301908Z 4467          20 CALL_METHOD              5
2022-11-23T01:30:19.9302013Z               22 STORE_FAST               6 (slice_scatter)
2022-11-23T01:30:19.9302018Z 
2022-11-23T01:30:19.9302100Z 4470          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9302189Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.9302282Z               28 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.9302383Z               30 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:30:19.9302476Z               32 LOAD_METHOD              4 (default)
2022-11-23T01:30:19.9302480Z 
2022-11-23T01:30:19.9302569Z 4471          34 LOAD_FAST                1 (arg1_1)
2022-11-23T01:30:19.9302666Z               36 LOAD_FAST                6 (slice_scatter)
2022-11-23T01:30:19.9302752Z               38 LOAD_CONST               3 (0)
2022-11-23T01:30:19.9302826Z               40 LOAD_CONST               3 (0)
2022-11-23T01:30:19.9302922Z               42 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:30:19.9302927Z 
2022-11-23T01:30:19.9303012Z 4470          44 CALL_METHOD              5
2022-11-23T01:30:19.9303115Z               46 STORE_FAST               7 (slice_scatter_1)
2022-11-23T01:30:19.9303122Z 
2022-11-23T01:30:19.9303211Z 4473          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9303302Z               50 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.9303452Z               52 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.9303541Z               54 LOAD_ATTR                5 (slice)
2022-11-23T01:30:19.9303622Z               56 LOAD_METHOD              6 (Tensor)
2022-11-23T01:30:19.9303626Z 
2022-11-23T01:30:19.9303726Z 4474          58 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:30:19.9303812Z               60 LOAD_CONST               3 (0)
2022-11-23T01:30:19.9303898Z               62 LOAD_CONST               3 (0)
2022-11-23T01:30:19.9303993Z               64 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:30:19.9303998Z 
2022-11-23T01:30:19.9304083Z 4473          66 CALL_METHOD              4
2022-11-23T01:30:19.9304176Z               68 STORE_FAST               8 (slice_2)
2022-11-23T01:30:19.9304207Z 
2022-11-23T01:30:19.9304297Z 4476          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9304373Z               72 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.9304463Z               74 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.9304563Z               76 LOAD_ATTR                7 (select_scatter)
2022-11-23T01:30:19.9304657Z               78 LOAD_METHOD              4 (default)
2022-11-23T01:30:19.9304661Z 
2022-11-23T01:30:19.9304751Z 4477          80 LOAD_FAST                8 (slice_2)
2022-11-23T01:30:19.9304839Z               82 LOAD_FAST                3 (squeeze)
2022-11-23T01:30:19.9304926Z               84 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9305013Z               86 LOAD_CONST               3 (0)
2022-11-23T01:30:19.9305017Z 
2022-11-23T01:30:19.9305091Z 4476          88 CALL_METHOD              4
2022-11-23T01:30:19.9305192Z               90 STORE_FAST               9 (select_scatter)
2022-11-23T01:30:19.9305196Z 
2022-11-23T01:30:19.9309699Z 4479          92 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9309818Z               94 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.9309900Z               96 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.9310007Z               98 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:30:19.9310105Z              100 LOAD_METHOD              4 (default)
2022-11-23T01:30:19.9310113Z 
2022-11-23T01:30:19.9310217Z 4480         102 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:30:19.9310322Z              104 LOAD_FAST                9 (select_scatter)
2022-11-23T01:30:19.9310410Z              106 LOAD_CONST               3 (0)
2022-11-23T01:30:19.9310499Z              108 LOAD_CONST               3 (0)
2022-11-23T01:30:19.9310599Z              110 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:30:19.9310605Z 
2022-11-23T01:30:19.9310681Z 4479         112 CALL_METHOD              5
2022-11-23T01:30:19.9310787Z              114 STORE_FAST              10 (slice_scatter_2)
2022-11-23T01:30:19.9310794Z 
2022-11-23T01:30:19.9310887Z 4482         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9310977Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.9311071Z              120 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.9311158Z              122 LOAD_ATTR                8 (view)
2022-11-23T01:30:19.9311252Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:30:19.9311355Z              126 LOAD_FAST               10 (slice_scatter_2)
2022-11-23T01:30:19.9311508Z              128 LOAD_CONST               4 (-1)
2022-11-23T01:30:19.9311598Z              130 LOAD_CONST               5 (128)
2022-11-23T01:30:19.9311685Z              132 BUILD_LIST               2
2022-11-23T01:30:19.9311772Z              134 CALL_METHOD              2
2022-11-23T01:30:19.9311864Z              136 STORE_FAST              11 (view)
2022-11-23T01:30:19.9311870Z 
2022-11-23T01:30:19.9311962Z 4483         138 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9312055Z              140 LOAD_ATTR                1 (ops)
2022-11-23T01:30:19.9312144Z              142 LOAD_ATTR                2 (aten)
2022-11-23T01:30:19.9312291Z              144 LOAD_ATTR                9 (embedding)
2022-11-23T01:30:19.9312387Z              146 LOAD_METHOD              4 (default)
2022-11-23T01:30:19.9312479Z              148 LOAD_FAST                0 (arg0_1)
2022-11-23T01:30:19.9312568Z              150 LOAD_FAST               11 (view)
2022-11-23T01:30:19.9312658Z              152 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9312747Z              154 CALL_METHOD              3
2022-11-23T01:30:19.9312846Z              156 STORE_FAST              12 (embedding)
2022-11-23T01:30:19.9312851Z 
2022-11-23T01:30:19.9312933Z 4484         158 LOAD_FAST               12 (embedding)
2022-11-23T01:30:19.9313025Z              160 LOAD_FAST                4 (view_1)
2022-11-23T01:30:19.9313111Z              162 BUILD_LIST               2
2022-11-23T01:30:19.9313222Z              164 RETURN_VALUE
2022-11-23T01:30:19.9313285Z  
2022-11-23T01:30:19.9313290Z 
2022-11-23T01:30:19.9313622Z [2022-11-23 01:25:06,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T01:30:19.9313944Z [2022-11-23 01:25:06,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9314318Z [2022-11-23 01:25:06,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9314614Z [2022-11-23 01:25:06,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.9314923Z [2022-11-23 01:25:06,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9315197Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:30:19.9315516Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4468
2022-11-23T01:30:19.9315804Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:30:19.9316118Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg3_1 [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:30:19.9316453Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9316828Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9317269Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9317583Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4467
2022-11-23T01:30:19.9318038Z [2022-11-23 01:25:06,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9318295Z [2022-11-23 01:25:06,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter [TensorVariable()]
2022-11-23T01:30:19.9318610Z [2022-11-23 01:25:06,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T01:30:19.9318819Z [2022-11-23 01:25:06,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9319221Z [2022-11-23 01:25:06,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9319514Z [2022-11-23 01:25:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.9319830Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9320099Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:30:19.9320409Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4471
2022-11-23T01:30:19.9320722Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:30:19.9321047Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:30:19.9321383Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9321753Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9322184Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9322497Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4470
2022-11-23T01:30:19.9322942Z [2022-11-23 01:25:06,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9323202Z [2022-11-23 01:25:06,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_1 [TensorVariable()]
2022-11-23T01:30:19.9323512Z [2022-11-23 01:25:06,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T01:30:19.9323727Z [2022-11-23 01:25:06,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9324090Z [2022-11-23 01:25:06,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9324386Z [2022-11-23 01:25:06,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.9324688Z [2022-11-23 01:25:06,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9324945Z [2022-11-23 01:25:06,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.slice)]
2022-11-23T01:30:19.9325254Z [2022-11-23 01:25:06,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4474
2022-11-23T01:30:19.9325549Z [2022-11-23 01:25:06,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice.Tensor)]
2022-11-23T01:30:19.9325960Z [2022-11-23 01:25:06,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable()]
2022-11-23T01:30:19.9326319Z [2022-11-23 01:25:06,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9326704Z [2022-11-23 01:25:06,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9327015Z [2022-11-23 01:25:06,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4473
2022-11-23T01:30:19.9327425Z [2022-11-23 01:25:06,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9327671Z [2022-11-23 01:25:06,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_2 [TensorVariable()]
2022-11-23T01:30:19.9328009Z [2022-11-23 01:25:06,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T01:30:19.9328228Z [2022-11-23 01:25:06,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9328593Z [2022-11-23 01:25:06,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9328883Z [2022-11-23 01:25:06,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.9329201Z [2022-11-23 01:25:06,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9329473Z [2022-11-23 01:25:06,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.select_scatter)]
2022-11-23T01:30:19.9329776Z [2022-11-23 01:25:06,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4477
2022-11-23T01:30:19.9330063Z [2022-11-23 01:25:06,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_2 [TorchVariable(aten.select_scatter.default)]
2022-11-23T01:30:19.9330378Z [2022-11-23 01:25:06,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.select_scatter.default), TensorVariable()]
2022-11-23T01:30:19.9330714Z [2022-11-23 01:25:06,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9331084Z [2022-11-23 01:25:06,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9331394Z [2022-11-23 01:25:06,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4476
2022-11-23T01:30:19.9331820Z [2022-11-23 01:25:06,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9332078Z [2022-11-23 01:25:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST select_scatter [TensorVariable()]
2022-11-23T01:30:19.9332387Z [2022-11-23 01:25:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T01:30:19.9332603Z [2022-11-23 01:25:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9332963Z [2022-11-23 01:25:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9333255Z [2022-11-23 01:25:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.9333600Z [2022-11-23 01:25:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9333871Z [2022-11-23 01:25:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:30:19.9334179Z [2022-11-23 01:25:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4480
2022-11-23T01:30:19.9334477Z [2022-11-23 01:25:06,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:30:19.9334801Z [2022-11-23 01:25:06,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST select_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:30:19.9335165Z [2022-11-23 01:25:06,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9335533Z [2022-11-23 01:25:06,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9335963Z [2022-11-23 01:25:06,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9336287Z [2022-11-23 01:25:06,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4479
2022-11-23T01:30:19.9337108Z [2022-11-23 01:25:06,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9337379Z [2022-11-23 01:25:06,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_2 [TensorVariable()]
2022-11-23T01:30:19.9337692Z [2022-11-23 01:25:06,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4482
2022-11-23T01:30:19.9337897Z [2022-11-23 01:25:06,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9338258Z [2022-11-23 01:25:06,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9338552Z [2022-11-23 01:25:06,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.9338855Z [2022-11-23 01:25:06,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9339119Z [2022-11-23 01:25:06,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.view)]
2022-11-23T01:30:19.9339403Z [2022-11-23 01:25:06,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_2 [TorchVariable(aten.view.default)]
2022-11-23T01:30:19.9339697Z [2022-11-23 01:25:06,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.view.default), TensorVariable()]
2022-11-23T01:30:19.9340028Z [2022-11-23 01:25:06,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9340391Z [2022-11-23 01:25:06,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9340719Z [2022-11-23 01:25:06,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view.default), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.9341028Z [2022-11-23 01:25:06,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view [TensorVariable()]
2022-11-23T01:30:19.9341328Z [2022-11-23 01:25:06,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4483
2022-11-23T01:30:19.9341546Z [2022-11-23 01:25:06,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9341904Z [2022-11-23 01:25:06,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9342198Z [2022-11-23 01:25:06,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:19.9342508Z [2022-11-23 01:25:06,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR embedding [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9342816Z [2022-11-23 01:25:06,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.embedding)]
2022-11-23T01:30:19.9343102Z [2022-11-23 01:25:06,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.embedding.default)]
2022-11-23T01:30:19.9343415Z [2022-11-23 01:25:06,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view [TorchVariable(aten.embedding.default), TensorVariable()]
2022-11-23T01:30:19.9343752Z [2022-11-23 01:25:06,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9344128Z [2022-11-23 01:25:06,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9344368Z [2022-11-23 01:25:06,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST embedding [TensorVariable()]
2022-11-23T01:30:19.9344680Z [2022-11-23 01:25:06,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4484
2022-11-23T01:30:19.9344900Z [2022-11-23 01:25:06,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST embedding []
2022-11-23T01:30:19.9345143Z [2022-11-23 01:25:06,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TensorVariable()]
2022-11-23T01:30:19.9345408Z [2022-11-23 01:25:06,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9345650Z [2022-11-23 01:25:06,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:19.9346034Z [2022-11-23 01:25:06,845] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d0b0710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4466>
2022-11-23T01:30:19.9346281Z [2022-11-23 01:25:06,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:19.9346515Z [2022-11-23 01:25:06,845] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9346774Z [2022-11-23 01:25:06,854] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9347009Z [2022-11-23 01:25:06,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9347198Z [2022-11-23 01:25:06,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9347334Z  __compiled_fn_215 <eval_with_key>.1736 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9347430Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9347562Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9347691Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:19.9347804Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:19.9347888Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:30:19.9348119Z call_function, slice_scatter_default, aten.slice_scatter.default, (ex_5_, ex_2_, 1, 1, 9223372036854775807), {}
2022-11-23T01:30:19.9348328Z call_function, slice_scatter_default_1, aten.slice_scatter.default, (ex_1_, slice_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:30:19.9348490Z call_function, slice_tensor, aten.slice.Tensor, (slice_scatter_default_1, 0, 0, 9223372036854775807), {}
2022-11-23T01:30:19.9348658Z call_function, select_scatter_default, aten.select_scatter.default, (slice_tensor, ex_3_, 1, 0), {}
2022-11-23T01:30:19.9348863Z call_function, slice_scatter_default_2, aten.slice_scatter.default, (slice_scatter_default_1, select_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:30:19.9349095Z call_function, view_default, aten.view.default, (slice_scatter_default_2, [-1, 128]), {}
2022-11-23T01:30:19.9349257Z call_function, embedding_default, aten.embedding.default, (ex_0_, view_default, 1), {}
2022-11-23T01:30:19.9349405Z output, output, output, ((embedding_default,),), {}
2022-11-23T01:30:19.9349414Z 
2022-11-23T01:30:19.9349740Z [2022-11-23 01:25:06,865] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9349822Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9349912Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9349998Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9350090Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9350175Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9350263Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9350339Z              12 RETURN_VALUE
2022-11-23T01:30:19.9350344Z 
2022-11-23T01:30:19.9350392Z  
2022-11-23T01:30:19.9350714Z [2022-11-23 01:25:06,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9350825Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_215)
2022-11-23T01:30:19.9350918Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9351009Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9351085Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9351173Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9351260Z              10 LOAD_CONST               3 (1)
2022-11-23T01:30:19.9351323Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9351410Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9351496Z              16 LOAD_CONST               4 (2)
2022-11-23T01:30:19.9351572Z              18 BINARY_SUBSCR
2022-11-23T01:30:19.9351656Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9351741Z              22 LOAD_CONST               5 (3)
2022-11-23T01:30:19.9351819Z              24 BINARY_SUBSCR
2022-11-23T01:30:19.9351891Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9351976Z              28 LOAD_CONST               6 (5)
2022-11-23T01:30:19.9352052Z              30 BINARY_SUBSCR
2022-11-23T01:30:19.9352140Z              32 CALL_FUNCTION            5
2022-11-23T01:30:19.9352243Z              34 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9352346Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9352432Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9352494Z              40 BINARY_SUBSCR
2022-11-23T01:30:19.9352580Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9352663Z              44 LOAD_CONST               2 (4)
2022-11-23T01:30:19.9352738Z              46 BINARY_SUBSCR
2022-11-23T01:30:19.9352822Z              48 BUILD_LIST               2
2022-11-23T01:30:19.9352896Z              50 RETURN_VALUE
2022-11-23T01:30:19.9352902Z 
2022-11-23T01:30:19.9352965Z  
2022-11-23T01:30:19.9353136Z [2022-11-23 01:25:06,866] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9353209Z  - 
2022-11-23T01:30:19.9353328Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9353421Z             {
2022-11-23T01:30:19.9353564Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9353752Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 6'],
2022-11-23T01:30:19.9353968Z                 'obj_weakref': None
2022-11-23T01:30:19.9354181Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9354247Z             }
2022-11-23T01:30:19.9354313Z             
2022-11-23T01:30:19.9354382Z  - 
2022-11-23T01:30:19.9354507Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9354573Z             {
2022-11-23T01:30:19.9354717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9354810Z                 'code': None,
2022-11-23T01:30:19.9355021Z                 'obj_weakref': <weakref at 0x7ff58ff142c0; to 'Tensor' at 0x7ff58fc8f970>
2022-11-23T01:30:19.9355319Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9355383Z             }
2022-11-23T01:30:19.9355446Z             
2022-11-23T01:30:19.9355518Z  - 
2022-11-23T01:30:19.9355640Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9355691Z             {
2022-11-23T01:30:19.9355832Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9355939Z                 'code': None,
2022-11-23T01:30:19.9356147Z                 'obj_weakref': <weakref at 0x7ff59c14a8e0; to 'Tensor' at 0x7ff58fc8e110>
2022-11-23T01:30:19.9356401Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9356466Z             }
2022-11-23T01:30:19.9356530Z             
2022-11-23T01:30:19.9356587Z  - 
2022-11-23T01:30:19.9356709Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:19.9356777Z             {
2022-11-23T01:30:19.9356920Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9357027Z                 'code': None,
2022-11-23T01:30:19.9357241Z                 'obj_weakref': <weakref at 0x7ff59c13a7f0; to 'Tensor' at 0x7ff58fdf3a10>
2022-11-23T01:30:19.9357495Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9357560Z             }
2022-11-23T01:30:19.9357610Z             
2022-11-23T01:30:19.9357679Z  - 
2022-11-23T01:30:19.9357803Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:19.9357868Z             {
2022-11-23T01:30:19.9358008Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9358115Z                 'code': None,
2022-11-23T01:30:19.9358310Z                 'obj_weakref': <weakref at 0x7ff58fd27c90; to 'Tensor' at 0x7ff6383f5490>
2022-11-23T01:30:19.9358557Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9358623Z             }
2022-11-23T01:30:19.9358686Z             
2022-11-23T01:30:19.9358754Z  - 
2022-11-23T01:30:19.9358880Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:30:19.9358944Z             {
2022-11-23T01:30:19.9359073Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9359179Z                 'code': None,
2022-11-23T01:30:19.9359388Z                 'obj_weakref': <weakref at 0x7ff59c14ae80; to 'Tensor' at 0x7ff6383f5760>
2022-11-23T01:30:19.9359637Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9359701Z             }
2022-11-23T01:30:19.9359765Z             
2022-11-23T01:30:19.9359834Z  - 
2022-11-23T01:30:19.9359943Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:30:19.9360009Z             {
2022-11-23T01:30:19.9360149Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9360258Z                 'code': None,
2022-11-23T01:30:19.9360463Z                 'obj_weakref': <weakref at 0x7ff59c139030; to 'Tensor' at 0x7ff6383f53f0>
2022-11-23T01:30:19.9360757Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9360823Z             }
2022-11-23T01:30:19.9360885Z             
2022-11-23T01:30:19.9360942Z  - 
2022-11-23T01:30:19.9361073Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9361139Z             {
2022-11-23T01:30:19.9361272Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9361442Z                 'code': ['___check_obj_id(model, 140692862624544)'],
2022-11-23T01:30:19.9361561Z                 'obj_weakref': None
2022-11-23T01:30:19.9361789Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9361840Z             }
2022-11-23T01:30:19.9361904Z             
2022-11-23T01:30:19.9361973Z  - 
2022-11-23T01:30:19.9362131Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9362196Z             {
2022-11-23T01:30:19.9362332Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9362537Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9362655Z                 'obj_weakref': None
2022-11-23T01:30:19.9362874Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9362937Z             }
2022-11-23T01:30:19.9363000Z             
2022-11-23T01:30:19.9363069Z  - 
2022-11-23T01:30:19.9363202Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9363253Z             {
2022-11-23T01:30:19.9363372Z                 'guard_types': None,
2022-11-23T01:30:19.9363477Z                 'code': None,
2022-11-23T01:30:19.9363594Z                 'obj_weakref': None
2022-11-23T01:30:19.9363714Z                 'guarded_class': None
2022-11-23T01:30:19.9363778Z             }
2022-11-23T01:30:19.9363844Z             
2022-11-23T01:30:19.9364093Z [2022-11-23 01:25:06,879] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 208
2022-11-23T01:30:19.9364464Z [2022-11-23 01:25:08,378] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6w/c6wwmwl7bqrnrfkzbboev4lo3e4i54jesxstniv7gxvkszhioobx.py
2022-11-23T01:30:19.9364728Z [2022-11-23 01:25:08,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 208
2022-11-23T01:30:19.9364735Z 
2022-11-23T01:30:19.9364829Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9364898Z import torch
2022-11-23T01:30:19.9364967Z import random
2022-11-23T01:30:19.9365081Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9365201Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9365206Z 
2022-11-23T01:30:19.9365273Z aten = torch.ops.aten
2022-11-23T01:30:19.9365406Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9365502Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9365507Z 
2022-11-23T01:30:19.9365511Z 
2022-11-23T01:30:19.9365645Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9365853Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9365970Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:19.9366073Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:19.9366174Z                        const long* __restrict__ in_ptr2,
2022-11-23T01:30:19.9366266Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:30:19.9366364Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:19.9366424Z {
2022-11-23T01:30:19.9366522Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9366584Z     {
2022-11-23T01:30:19.9366664Z         #pragma omp for 
2022-11-23T01:30:19.9366744Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:19.9366797Z         {
2022-11-23T01:30:19.9366875Z             #pragma GCC ivdep
2022-11-23T01:30:19.9366961Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:19.9367025Z             {
2022-11-23T01:30:19.9367134Z                 #pragma GCC ivdep
2022-11-23T01:30:19.9367226Z                 for(long i2=0; i2<768; i2+=1)
2022-11-23T01:30:19.9367292Z                 {
2022-11-23T01:30:19.9367346Z                     {
2022-11-23T01:30:19.9367414Z                         {
2022-11-23T01:30:19.9367508Z                             auto tmp3 = in_ptr0[i0];
2022-11-23T01:30:19.9367612Z                             auto tmp8 = in_ptr2[i1 + (128*i0)];
2022-11-23T01:30:19.9367719Z                             auto tmp0 = static_cast<int>(i1);
2022-11-23T01:30:19.9367823Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:30:19.9367920Z                             auto tmp2 = tmp0 == tmp1;
2022-11-23T01:30:19.9368010Z                             auto tmp4 = static_cast<int>(1);
2022-11-23T01:30:19.9368135Z                             auto tmp5 = tmp0 >= tmp4;
2022-11-23T01:30:19.9368219Z                             auto tmp6 = 0;
2022-11-23T01:30:19.9368296Z                             if(tmp5)
2022-11-23T01:30:19.9368367Z                             {
2022-11-23T01:30:19.9368543Z                                 auto tmp7 = in_ptr1[(-1) + i1 + (127*i0)];
2022-11-23T01:30:19.9368630Z                                 tmp6 = tmp7;
2022-11-23T01:30:19.9368687Z                             }
2022-11-23T01:30:19.9368791Z                             auto tmp9 = tmp5 ? tmp6 : tmp8;
2022-11-23T01:30:19.9368894Z                             auto tmp10 = tmp2 ? tmp3 : tmp9;
2022-11-23T01:30:19.9369001Z                             auto tmp11 = in_ptr3[i2 + (768*tmp10)];
2022-11-23T01:30:19.9369110Z                             out_ptr0[i2 + (768*i1) + (98304*i0)] = tmp11;
2022-11-23T01:30:19.9369180Z                         }
2022-11-23T01:30:19.9369248Z                     }
2022-11-23T01:30:19.9369316Z                 }
2022-11-23T01:30:19.9369369Z             }
2022-11-23T01:30:19.9369431Z         }
2022-11-23T01:30:19.9369494Z     }
2022-11-23T01:30:19.9369554Z }
2022-11-23T01:30:19.9369633Z ''')
2022-11-23T01:30:19.9369640Z 
2022-11-23T01:30:19.9369644Z 
2022-11-23T01:30:19.9369734Z async_compile.wait(globals())
2022-11-23T01:30:19.9369794Z del async_compile
2022-11-23T01:30:19.9369811Z 
2022-11-23T01:30:19.9369870Z def call(args):
2022-11-23T01:30:19.9369967Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args
2022-11-23T01:30:19.9370036Z     args.clear()
2022-11-23T01:30:19.9370251Z     buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9370461Z     kernel_cpp_0(c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.9370530Z     del arg0_1
2022-11-23T01:30:19.9370597Z     del arg2_1
2022-11-23T01:30:19.9370650Z     del arg3_1
2022-11-23T01:30:19.9370720Z     del arg4_1
2022-11-23T01:30:19.9370791Z     return (buf0, )
2022-11-23T01:30:19.9370797Z 
2022-11-23T01:30:19.9370801Z 
2022-11-23T01:30:19.9370876Z if __name__ == "__main__":
2022-11-23T01:30:19.9370992Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9371114Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9371320Z     arg0_1 = rand_strided((50005, 768), (768, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9371516Z     arg1_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.9371701Z     arg2_1 = rand_strided((8, 127), (127, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.9371888Z     arg3_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.9372079Z     arg4_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:19.9372213Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1]))
2022-11-23T01:30:19.9372221Z 
2022-11-23T01:30:19.9372288Z ok (2.325s)
2022-11-23T01:30:19.9372618Z   test_isinf2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:08,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9372936Z [2022-11-23 01:25:08,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9373152Z [2022-11-23 01:25:08,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9373391Z [2022-11-23 01:25:08,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9373668Z [2022-11-23 01:25:08,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9373986Z [2022-11-23 01:25:08,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9374365Z [2022-11-23 01:25:08,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9374687Z [2022-11-23 01:25:08,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9375066Z [2022-11-23 01:25:08,401] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e2d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371> 
2022-11-23T01:30:19.9375162Z  3372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9375255Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:19.9375260Z 
2022-11-23T01:30:19.9375350Z 3373           4 LOAD_CONST               1 (1)
2022-11-23T01:30:19.9375445Z                6 LOAD_GLOBAL              2 (float)
2022-11-23T01:30:19.9375568Z                8 LOAD_CONST               2 ('inf')
2022-11-23T01:30:19.9375662Z               10 CALL_FUNCTION            1
2022-11-23T01:30:19.9375752Z               12 LOAD_CONST               3 (2)
2022-11-23T01:30:19.9375846Z               14 LOAD_GLOBAL              2 (float)
2022-11-23T01:30:19.9375986Z               16 LOAD_CONST               4 ('-inf')
2022-11-23T01:30:19.9376076Z               18 CALL_FUNCTION            1
2022-11-23T01:30:19.9376166Z               20 LOAD_GLOBAL              2 (float)
2022-11-23T01:30:19.9376289Z               22 LOAD_CONST               5 ('nan')
2022-11-23T01:30:19.9376377Z               24 CALL_FUNCTION            1
2022-11-23T01:30:19.9376592Z               26 BUILD_LIST               5
2022-11-23T01:30:19.9376684Z               28 LOAD_DEREF               0 (self)
2022-11-23T01:30:19.9376775Z               30 LOAD_ATTR                3 (device)
2022-11-23T01:30:19.9376780Z 
2022-11-23T01:30:19.9376929Z 3372          32 LOAD_CONST               6 (('device',))
2022-11-23T01:30:19.9377020Z               34 CALL_FUNCTION_KW         2
2022-11-23T01:30:19.9377113Z               36 STORE_FAST               1 (y)
2022-11-23T01:30:19.9377118Z 
2022-11-23T01:30:19.9377194Z 3375          38 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9377282Z               40 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9377379Z               42 COMPARE_OP               2 (==)
2022-11-23T01:30:19.9377455Z               44 RETURN_VALUE
2022-11-23T01:30:19.9377515Z  
2022-11-23T01:30:19.9377520Z 
2022-11-23T01:30:19.9377837Z [2022-11-23 01:25:08,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T01:30:19.9378057Z [2022-11-23 01:25:08,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9378431Z [2022-11-23 01:25:08,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9378743Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3373
2022-11-23T01:30:19.9379116Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9379484Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:19.9379886Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:30:19.9380331Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:30:19.9380770Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:30:19.9381220Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:30:19.9381704Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:30:19.9382221Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:30:19.9382710Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:30:19.9383224Z [2022-11-23 01:25:08,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST nan [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float)]
2022-11-23T01:30:19.9383781Z [2022-11-23 01:25:08,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:30:19.9384298Z [2022-11-23 01:25:08,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:30:19.9384647Z [2022-11-23 01:25:08,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:19.9385068Z [2022-11-23 01:25:08,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), UserDefinedObjectVariable(CpuTests)]
2022-11-23T01:30:19.9385386Z [2022-11-23 01:25:08,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3372
2022-11-23T01:30:19.9385788Z [2022-11-23 01:25:08,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), ConstantVariable(str)]
2022-11-23T01:30:19.9386252Z [2022-11-23 01:25:08,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:19.9386494Z [2022-11-23 01:25:08,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:30:19.9386794Z [2022-11-23 01:25:08,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3375
2022-11-23T01:30:19.9387005Z [2022-11-23 01:25:08,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9387241Z [2022-11-23 01:25:08,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:19.9387512Z [2022-11-23 01:25:08,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9387790Z [2022-11-23 01:25:08,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9388172Z [2022-11-23 01:25:08,405] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e2d90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3371>
2022-11-23T01:30:19.9388417Z [2022-11-23 01:25:08,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9388651Z [2022-11-23 01:25:08,405] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9388903Z [2022-11-23 01:25:08,407] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9389152Z [2022-11-23 01:25:08,411] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9389329Z [2022-11-23 01:25:08,411] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9389466Z  __compiled_fn_216 <eval_with_key>.1742 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9389559Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9389833Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, ([1, inf, 2, -inf, nan],), {'device': 'cpu'}
2022-11-23T01:30:19.9390011Z call_function, eq, <built-in function eq>, (ex_0_, tensor), {}
2022-11-23T01:30:19.9390105Z output, output, output, ((eq,),), {}
2022-11-23T01:30:19.9390111Z 
2022-11-23T01:30:19.9390435Z [2022-11-23 01:25:08,411] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9390528Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9390605Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9390694Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9390788Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9390873Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9390964Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9391040Z              12 RETURN_VALUE
2022-11-23T01:30:19.9391045Z 
2022-11-23T01:30:19.9391105Z  
2022-11-23T01:30:19.9391425Z [2022-11-23 01:25:08,411] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9391520Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_216)
2022-11-23T01:30:19.9391609Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9391698Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9391776Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9391863Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9391967Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9392098Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:19.9392182Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:19.9392296Z              16 CALL_FUNCTION            0
2022-11-23T01:30:19.9392395Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:19.9392497Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9392589Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9392665Z              24 BINARY_SUBSCR
2022-11-23T01:30:19.9392757Z              26 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9392841Z              28 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:19.9392933Z              30 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9393008Z              32 BINARY_SUBSCR
2022-11-23T01:30:19.9393109Z              34 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:19.9393199Z              36 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9393322Z              38 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:19.9393409Z              40 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9393488Z              42 BINARY_SUBSCR
2022-11-23T01:30:19.9393577Z              44 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:19.9393652Z              46 RETURN_VALUE
2022-11-23T01:30:19.9393657Z 
2022-11-23T01:30:19.9393719Z  
2022-11-23T01:30:19.9393975Z [2022-11-23 01:25:08,412] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9394051Z  - 
2022-11-23T01:30:19.9394170Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9394236Z             {
2022-11-23T01:30:19.9394365Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9394550Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9394670Z                 'obj_weakref': None
2022-11-23T01:30:19.9394896Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9394967Z             }
2022-11-23T01:30:19.9395032Z             
2022-11-23T01:30:19.9395101Z  - 
2022-11-23T01:30:19.9395215Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9395280Z             {
2022-11-23T01:30:19.9395424Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9395533Z                 'code': None,
2022-11-23T01:30:19.9395746Z                 'obj_weakref': <weakref at 0x7ff59c18cb30; to 'Tensor' at 0x7ff5a80d37e0>
2022-11-23T01:30:19.9396001Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9396066Z             }
2022-11-23T01:30:19.9396116Z             
2022-11-23T01:30:19.9396185Z  - 
2022-11-23T01:30:19.9396315Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9396379Z             {
2022-11-23T01:30:19.9396513Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9396681Z                 'code': ['___check_obj_id(model, 140692656227808)'],
2022-11-23T01:30:19.9396802Z                 'obj_weakref': None
2022-11-23T01:30:19.9397019Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9397083Z             }
2022-11-23T01:30:19.9397147Z             
2022-11-23T01:30:19.9397215Z  - 
2022-11-23T01:30:19.9397335Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9397398Z             {
2022-11-23T01:30:19.9397533Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9397736Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9397854Z                 'obj_weakref': None
2022-11-23T01:30:19.9398073Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9398136Z             }
2022-11-23T01:30:19.9398199Z             
2022-11-23T01:30:19.9398266Z  - 
2022-11-23T01:30:19.9398441Z             local 'model.__closure__[0].cell_contents' TYPE_MATCH
2022-11-23T01:30:19.9398493Z             {
2022-11-23T01:30:19.9398631Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:19.9398885Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571926101280)'],
2022-11-23T01:30:19.9399101Z                 'obj_weakref': <weakref at 0x7ff58fd24770; to 'CpuTests' at 0x7ff6383ea3e0>
2022-11-23T01:30:19.9399326Z                 'guarded_class': <weakref at 0x7ff638d6e390; to 'type' at 0x56033e0f9d20 (CpuTests)>
2022-11-23T01:30:19.9399390Z             }
2022-11-23T01:30:19.9399453Z             
2022-11-23T01:30:19.9399511Z  - 
2022-11-23T01:30:19.9399704Z             local 'model.__closure__[0].cell_contents.device' CONSTANT_MATCH
2022-11-23T01:30:19.9399769Z             {
2022-11-23T01:30:19.9399911Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:19.9400217Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents.device, 94571819061440)', "model.__closure__[0].cell_contents.device == 'cpu'"],
2022-11-23T01:30:19.9400366Z                 'obj_weakref': None
2022-11-23T01:30:19.9400585Z                 'guarded_class': <weakref at 0x7ff64e229080; to 'type' at 0x560337ae50c0 (str)>
2022-11-23T01:30:19.9400648Z             }
2022-11-23T01:30:19.9400700Z             
2022-11-23T01:30:19.9400770Z  - 
2022-11-23T01:30:19.9400901Z             global 'float' BUILTIN_MATCH
2022-11-23T01:30:19.9400964Z             {
2022-11-23T01:30:19.9401081Z                 'guard_types': None,
2022-11-23T01:30:19.9401186Z                 'code': None,
2022-11-23T01:30:19.9401290Z                 'obj_weakref': None
2022-11-23T01:30:19.9401409Z                 'guarded_class': None
2022-11-23T01:30:19.9401472Z             }
2022-11-23T01:30:19.9401538Z             
2022-11-23T01:30:19.9401607Z  - 
2022-11-23T01:30:19.9401737Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9401800Z             {
2022-11-23T01:30:19.9401906Z                 'guard_types': None,
2022-11-23T01:30:19.9402013Z                 'code': None,
2022-11-23T01:30:19.9402129Z                 'obj_weakref': None
2022-11-23T01:30:19.9402248Z                 'guarded_class': None
2022-11-23T01:30:19.9402314Z             }
2022-11-23T01:30:19.9402377Z             
2022-11-23T01:30:19.9402637Z [2022-11-23 01:25:08,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 209
2022-11-23T01:30:19.9402989Z [2022-11-23 01:25:09,870] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jr/cjrhq2bi6hwfuh634knjj7if7odfey75n7f7f74zfbs4fgktqa6j.py
2022-11-23T01:30:19.9403251Z [2022-11-23 01:25:09,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 209
2022-11-23T01:30:19.9403256Z 
2022-11-23T01:30:19.9403351Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9403420Z import torch
2022-11-23T01:30:19.9403490Z import random
2022-11-23T01:30:19.9403604Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9403726Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9403731Z 
2022-11-23T01:30:19.9403810Z aten = torch.ops.aten
2022-11-23T01:30:19.9403934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9404027Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9404032Z 
2022-11-23T01:30:19.9404036Z 
2022-11-23T01:30:19.9404170Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9404374Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9404493Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9404590Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:30:19.9404651Z {
2022-11-23T01:30:19.9404747Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9404796Z     {
2022-11-23T01:30:19.9404873Z         #pragma omp for 
2022-11-23T01:30:19.9404955Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:30:19.9405018Z         {
2022-11-23T01:30:19.9405084Z             {
2022-11-23T01:30:19.9405148Z                 {
2022-11-23T01:30:19.9405228Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9405358Z                     auto tmp1 = static_cast<long>(i0);
2022-11-23T01:30:19.9405462Z                     auto tmp2 = static_cast<long>(2);
2022-11-23T01:30:19.9405552Z                     auto tmp3 = tmp1 < tmp2;
2022-11-23T01:30:19.9405653Z                     auto tmp4 = static_cast<long>(1);
2022-11-23T01:30:19.9405743Z                     auto tmp5 = tmp1 < tmp4;
2022-11-23T01:30:19.9405847Z                     auto tmp6 = static_cast<float>(1.0);
2022-11-23T01:30:19.9405992Z                     auto tmp7 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:19.9406076Z                     auto tmp8 = tmp5 ? tmp6 : tmp7;
2022-11-23T01:30:19.9406177Z                     auto tmp9 = static_cast<long>(3);
2022-11-23T01:30:19.9406267Z                     auto tmp10 = tmp1 < tmp9;
2022-11-23T01:30:19.9406370Z                     auto tmp11 = static_cast<float>(2.0);
2022-11-23T01:30:19.9406526Z                     auto tmp12 = static_cast<long>(4);
2022-11-23T01:30:19.9406619Z                     auto tmp13 = tmp1 < tmp12;
2022-11-23T01:30:19.9406860Z                     auto tmp14 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:19.9406973Z                     auto tmp15 = std::numeric_limits<float>::quiet_NaN();
2022-11-23T01:30:19.9407076Z                     auto tmp16 = tmp13 ? tmp14 : tmp15;
2022-11-23T01:30:19.9407175Z                     auto tmp17 = tmp10 ? tmp11 : tmp16;
2022-11-23T01:30:19.9407275Z                     auto tmp18 = tmp3 ? tmp8 : tmp17;
2022-11-23T01:30:19.9407368Z                     auto tmp19 = tmp0 == tmp18;
2022-11-23T01:30:19.9407453Z                     out_ptr0[i0] = tmp19;
2022-11-23T01:30:19.9407519Z                 }
2022-11-23T01:30:19.9407584Z             }
2022-11-23T01:30:19.9407635Z         }
2022-11-23T01:30:19.9407698Z     }
2022-11-23T01:30:19.9407759Z }
2022-11-23T01:30:19.9407840Z ''')
2022-11-23T01:30:19.9407845Z 
2022-11-23T01:30:19.9407849Z 
2022-11-23T01:30:19.9407939Z async_compile.wait(globals())
2022-11-23T01:30:19.9408012Z del async_compile
2022-11-23T01:30:19.9408017Z 
2022-11-23T01:30:19.9408090Z def call(args):
2022-11-23T01:30:19.9408146Z     arg0_1, = args
2022-11-23T01:30:19.9408215Z     args.clear()
2022-11-23T01:30:19.9408402Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.9408536Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:19.9408603Z     del arg0_1
2022-11-23T01:30:19.9408673Z     return (buf0, )
2022-11-23T01:30:19.9408678Z 
2022-11-23T01:30:19.9408682Z 
2022-11-23T01:30:19.9408758Z if __name__ == "__main__":
2022-11-23T01:30:19.9408858Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9408979Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9409171Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9409280Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.9409285Z 
2022-11-23T01:30:19.9409351Z ok (1.475s)
2022-11-23T01:30:19.9409652Z   test_isinf_cpu (__main__.CpuTests) ... [2022-11-23 01:25:09,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9409966Z [2022-11-23 01:25:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9410183Z [2022-11-23 01:25:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9410436Z [2022-11-23 01:25:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9410699Z [2022-11-23 01:25:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9411017Z [2022-11-23 01:25:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9411393Z [2022-11-23 01:25:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9411716Z [2022-11-23 01:25:09,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9412090Z [2022-11-23 01:25:09,876] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e2b80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:30:19.9412182Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9412277Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:30:19.9412369Z                4 CALL_METHOD              0
2022-11-23T01:30:19.9412457Z                6 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9412537Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:30:19.9412651Z               10 CALL_METHOD              0
2022-11-23T01:30:19.9412739Z               12 BUILD_TUPLE              2
2022-11-23T01:30:19.9412816Z               14 RETURN_VALUE
2022-11-23T01:30:19.9412878Z  
2022-11-23T01:30:19.9412883Z 
2022-11-23T01:30:19.9413198Z [2022-11-23 01:25:09,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T01:30:19.9413406Z [2022-11-23 01:25:09,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9413649Z [2022-11-23 01:25:09,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:30:19.9413913Z [2022-11-23 01:25:09,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:30:19.9414147Z [2022-11-23 01:25:09,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:19.9414420Z [2022-11-23 01:25:09,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9414729Z [2022-11-23 01:25:09,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:30:19.9414996Z [2022-11-23 01:25:09,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9415240Z [2022-11-23 01:25:09,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9415620Z [2022-11-23 01:25:09,879] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e2b80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T01:30:19.9415865Z [2022-11-23 01:25:09,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9416101Z [2022-11-23 01:25:09,879] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9416358Z [2022-11-23 01:25:09,880] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9416714Z [2022-11-23 01:25:09,887] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9416901Z [2022-11-23 01:25:09,887] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9417035Z  __compiled_fn_217 <eval_with_key>.1748 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9417125Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9417221Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:30:19.9417313Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:30:19.9417419Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:30:19.9417424Z 
2022-11-23T01:30:19.9417748Z [2022-11-23 01:25:09,888] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9417832Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9417967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9418054Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9418147Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9418232Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9418320Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9418396Z              12 RETURN_VALUE
2022-11-23T01:30:19.9418401Z 
2022-11-23T01:30:19.9418448Z  
2022-11-23T01:30:19.9418774Z [2022-11-23 01:25:09,888] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9418881Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_217)
2022-11-23T01:30:19.9418973Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9419063Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9419178Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9419267Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9419371Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9419461Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9419553Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9419629Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.9419727Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9419816Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9419892Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9419979Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.9420042Z              26 RETURN_VALUE
2022-11-23T01:30:19.9420047Z 
2022-11-23T01:30:19.9420108Z  
2022-11-23T01:30:19.9420290Z [2022-11-23 01:25:09,889] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9420364Z  - 
2022-11-23T01:30:19.9420484Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9420549Z             {
2022-11-23T01:30:19.9420689Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9420862Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9420981Z                 'obj_weakref': None
2022-11-23T01:30:19.9421206Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9421272Z             }
2022-11-23T01:30:19.9421337Z             
2022-11-23T01:30:19.9421406Z  - 
2022-11-23T01:30:19.9421530Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9421581Z             {
2022-11-23T01:30:19.9421721Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9421826Z                 'code': None,
2022-11-23T01:30:19.9422040Z                 'obj_weakref': <weakref at 0x7ff58fda7b00; to 'Tensor' at 0x7ff58ffb9030>
2022-11-23T01:30:19.9422290Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9422357Z             }
2022-11-23T01:30:19.9422420Z             
2022-11-23T01:30:19.9422479Z  - 
2022-11-23T01:30:19.9422607Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9422670Z             {
2022-11-23T01:30:19.9422804Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9422973Z                 'code': ['___check_obj_id(model, 140693068978864)'],
2022-11-23T01:30:19.9423091Z                 'obj_weakref': None
2022-11-23T01:30:19.9423320Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9423371Z             }
2022-11-23T01:30:19.9423434Z             
2022-11-23T01:30:19.9423502Z  - 
2022-11-23T01:30:19.9423624Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9423688Z             {
2022-11-23T01:30:19.9423825Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9424045Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9424151Z                 'obj_weakref': None
2022-11-23T01:30:19.9424408Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9424474Z             }
2022-11-23T01:30:19.9424537Z             
2022-11-23T01:30:19.9424800Z [2022-11-23 01:25:09,901] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 210
2022-11-23T01:30:19.9425172Z [2022-11-23 01:25:11,460] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o5/co5apgpr5mi2b5qzcls3dgnljnxbuvezzvzli23j2cidrpaxdz7k.py
2022-11-23T01:30:19.9425434Z [2022-11-23 01:25:11,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 210
2022-11-23T01:30:19.9425671Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9425981Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9426216Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9426469Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9426746Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9427065Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9427411Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9427731Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9428110Z [2022-11-23 01:25:11,464] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e2b80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:30:19.9428204Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9428299Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:30:19.9428374Z                4 CALL_METHOD              0
2022-11-23T01:30:19.9428465Z                6 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9428558Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:30:19.9428647Z               10 CALL_METHOD              0
2022-11-23T01:30:19.9428735Z               12 BUILD_TUPLE              2
2022-11-23T01:30:19.9428812Z               14 RETURN_VALUE
2022-11-23T01:30:19.9428873Z  
2022-11-23T01:30:19.9428878Z 
2022-11-23T01:30:19.9429193Z [2022-11-23 01:25:11,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3355
2022-11-23T01:30:19.9429392Z [2022-11-23 01:25:11,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9429635Z [2022-11-23 01:25:11,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:30:19.9429912Z [2022-11-23 01:25:11,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:30:19.9430146Z [2022-11-23 01:25:11,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:19.9430416Z [2022-11-23 01:25:11,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9430724Z [2022-11-23 01:25:11,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:30:19.9430993Z [2022-11-23 01:25:11,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9431269Z [2022-11-23 01:25:11,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9431649Z [2022-11-23 01:25:11,468] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e2b80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3354>
2022-11-23T01:30:19.9431894Z [2022-11-23 01:25:11,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9432113Z [2022-11-23 01:25:11,468] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9432366Z [2022-11-23 01:25:11,470] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9432612Z [2022-11-23 01:25:11,477] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9432828Z [2022-11-23 01:25:11,477] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9432964Z  __compiled_fn_218 <eval_with_key>.1754 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9433054Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9433144Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:30:19.9433239Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:30:19.9433343Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:30:19.9433348Z 
2022-11-23T01:30:19.9433670Z [2022-11-23 01:25:11,478] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9433762Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9433939Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9434014Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9434105Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9434192Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9434279Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9434354Z              12 RETURN_VALUE
2022-11-23T01:30:19.9434361Z 
2022-11-23T01:30:19.9434421Z  
2022-11-23T01:30:19.9434746Z [2022-11-23 01:25:11,478] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9434842Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_218)
2022-11-23T01:30:19.9434931Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9435019Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9435095Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9435181Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9435282Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9435382Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9435459Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9435534Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.9435632Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9435720Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9435796Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9435881Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.9435955Z              26 RETURN_VALUE
2022-11-23T01:30:19.9435960Z 
2022-11-23T01:30:19.9436022Z  
2022-11-23T01:30:19.9436191Z [2022-11-23 01:25:11,480] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9436263Z  - 
2022-11-23T01:30:19.9436384Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9436449Z             {
2022-11-23T01:30:19.9436590Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9436780Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9436901Z                 'obj_weakref': None
2022-11-23T01:30:19.9437117Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9437183Z             }
2022-11-23T01:30:19.9437248Z             
2022-11-23T01:30:19.9437350Z  - 
2022-11-23T01:30:19.9437476Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9437539Z             {
2022-11-23T01:30:19.9437667Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9437775Z                 'code': None,
2022-11-23T01:30:19.9437989Z                 'obj_weakref': <weakref at 0x7ff58fe06e80; to 'Tensor' at 0x7ff58fda6750>
2022-11-23T01:30:19.9438244Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9438309Z             }
2022-11-23T01:30:19.9438373Z             
2022-11-23T01:30:19.9438443Z  - 
2022-11-23T01:30:19.9438575Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9438625Z             {
2022-11-23T01:30:19.9438759Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9438957Z                 'code': ['___check_obj_id(model, 140693068978864)'],
2022-11-23T01:30:19.9439077Z                 'obj_weakref': None
2022-11-23T01:30:19.9439310Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9439375Z             }
2022-11-23T01:30:19.9439444Z             
2022-11-23T01:30:19.9439500Z  - 
2022-11-23T01:30:19.9439622Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9439687Z             {
2022-11-23T01:30:19.9439824Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9440044Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9440163Z                 'obj_weakref': None
2022-11-23T01:30:19.9440385Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9440436Z             }
2022-11-23T01:30:19.9440501Z             
2022-11-23T01:30:19.9440760Z [2022-11-23 01:25:11,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 211
2022-11-23T01:30:19.9441130Z [2022-11-23 01:25:13,228] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ip/cipa6ykj4ctgwyil576pdvfyaejtdvui35ezyiz244vatvwd736i.py
2022-11-23T01:30:19.9441397Z [2022-11-23 01:25:13,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 211
2022-11-23T01:30:19.9441403Z 
2022-11-23T01:30:19.9441497Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9441568Z import torch
2022-11-23T01:30:19.9441638Z import random
2022-11-23T01:30:19.9441740Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9441861Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9441866Z 
2022-11-23T01:30:19.9441945Z aten = torch.ops.aten
2022-11-23T01:30:19.9442080Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9442176Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9442181Z 
2022-11-23T01:30:19.9442185Z 
2022-11-23T01:30:19.9442320Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9442528Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9442650Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9442737Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:30:19.9442832Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:30:19.9442895Z {
2022-11-23T01:30:19.9442995Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9443058Z     {
2022-11-23T01:30:19.9443137Z         #pragma omp for 
2022-11-23T01:30:19.9443221Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:30:19.9443272Z         {
2022-11-23T01:30:19.9443337Z             {
2022-11-23T01:30:19.9443403Z                 {
2022-11-23T01:30:19.9443494Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9443599Z                     auto tmp1 = std::isinf(tmp0);
2022-11-23T01:30:19.9443695Z                     auto tmp2 = std::isnan(tmp0);
2022-11-23T01:30:19.9443778Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.9443878Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.9443942Z                 }
2022-11-23T01:30:19.9444004Z             }
2022-11-23T01:30:19.9444065Z         }
2022-11-23T01:30:19.9444124Z     }
2022-11-23T01:30:19.9444182Z }
2022-11-23T01:30:19.9444248Z ''')
2022-11-23T01:30:19.9444253Z 
2022-11-23T01:30:19.9444269Z 
2022-11-23T01:30:19.9444346Z async_compile.wait(globals())
2022-11-23T01:30:19.9444416Z del async_compile
2022-11-23T01:30:19.9444421Z 
2022-11-23T01:30:19.9444489Z def call(args):
2022-11-23T01:30:19.9444558Z     arg0_1, = args
2022-11-23T01:30:19.9444627Z     args.clear()
2022-11-23T01:30:19.9444810Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.9444992Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.9445173Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.9445239Z     del arg0_1
2022-11-23T01:30:19.9445317Z     return (buf0, buf1, )
2022-11-23T01:30:19.9445323Z 
2022-11-23T01:30:19.9445327Z 
2022-11-23T01:30:19.9445401Z if __name__ == "__main__":
2022-11-23T01:30:19.9445512Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9445635Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9445828Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9445933Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.9445938Z 
2022-11-23T01:30:19.9445942Z 
2022-11-23T01:30:19.9446022Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9446088Z import torch
2022-11-23T01:30:19.9446154Z import random
2022-11-23T01:30:19.9446267Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9446383Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9446390Z 
2022-11-23T01:30:19.9446466Z aten = torch.ops.aten
2022-11-23T01:30:19.9446597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9446676Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9446691Z 
2022-11-23T01:30:19.9446696Z 
2022-11-23T01:30:19.9446815Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9447017Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9447135Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:19.9447230Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:30:19.9447322Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:30:19.9447381Z {
2022-11-23T01:30:19.9447476Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9447524Z     {
2022-11-23T01:30:19.9447599Z         #pragma omp for 
2022-11-23T01:30:19.9447679Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:30:19.9447743Z         {
2022-11-23T01:30:19.9447805Z             {
2022-11-23T01:30:19.9447868Z                 {
2022-11-23T01:30:19.9447958Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9448046Z                     auto tmp1 = std::isinf(tmp0);
2022-11-23T01:30:19.9448142Z                     auto tmp2 = std::isnan(tmp0);
2022-11-23T01:30:19.9448224Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.9448304Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:30:19.9448365Z                 }
2022-11-23T01:30:19.9448426Z             }
2022-11-23T01:30:19.9448487Z         }
2022-11-23T01:30:19.9448534Z     }
2022-11-23T01:30:19.9448591Z }
2022-11-23T01:30:19.9448667Z ''')
2022-11-23T01:30:19.9448672Z 
2022-11-23T01:30:19.9448676Z 
2022-11-23T01:30:19.9448763Z async_compile.wait(globals())
2022-11-23T01:30:19.9448833Z del async_compile
2022-11-23T01:30:19.9448838Z 
2022-11-23T01:30:19.9448905Z def call(args):
2022-11-23T01:30:19.9448972Z     arg0_1, = args
2022-11-23T01:30:19.9449031Z     args.clear()
2022-11-23T01:30:19.9449213Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.9449425Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.9449587Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.9449655Z     del arg0_1
2022-11-23T01:30:19.9449731Z     return (buf0, buf1, )
2022-11-23T01:30:19.9449736Z 
2022-11-23T01:30:19.9449740Z 
2022-11-23T01:30:19.9449813Z if __name__ == "__main__":
2022-11-23T01:30:19.9449925Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9450034Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9450225Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:30:19.9450333Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.9450338Z 
2022-11-23T01:30:19.9450403Z ok (3.358s)
2022-11-23T01:30:19.9450733Z   test_kwargs_cpu (__main__.CpuTests) ... [2022-11-23 01:25:13,233] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9451046Z [2022-11-23 01:25:13,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9451260Z [2022-11-23 01:25:13,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9451511Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9451787Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9452092Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9452435Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9452759Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9453132Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0b14d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4623> 
2022-11-23T01:30:19.9453230Z  4624           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9453329Z                2 LOAD_ATTR                1 (histogramdd)
2022-11-23T01:30:19.9453336Z 
2022-11-23T01:30:19.9453423Z 4625           4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9453428Z 
2022-11-23T01:30:19.9453514Z 4626           6 LOAD_CONST               1 (3)
2022-11-23T01:30:19.9453600Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:19.9453676Z               10 BUILD_LIST               2
2022-11-23T01:30:19.9453694Z 
2022-11-23T01:30:19.9453768Z 4627          12 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9453774Z 
2022-11-23T01:30:19.9453937Z 4624          14 LOAD_CONST               2 (('bins', 'weight'))
2022-11-23T01:30:19.9454026Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:30:19.9454104Z               18 RETURN_VALUE
2022-11-23T01:30:19.9454163Z  
2022-11-23T01:30:19.9454168Z 
2022-11-23T01:30:19.9454479Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4624
2022-11-23T01:30:19.9454695Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9455073Z [2022-11-23 01:25:13,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR histogramdd [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9455368Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4625
2022-11-23T01:30:19.9455730Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method histogramdd of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9456041Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4626
2022-11-23T01:30:19.9456399Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method histogramdd of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9456937Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method histogramdd of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9457370Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method histogramdd of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:19.9457730Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4627
2022-11-23T01:30:19.9458110Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method histogramdd of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:19.9458421Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4624
2022-11-23T01:30:19.9458856Z [2022-11-23 01:25:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('bins', 'weight') [TorchVariable(<built-in method histogramdd of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:19.9459327Z [2022-11-23 01:25:13,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method histogramdd of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:19.9459582Z [2022-11-23 01:25:13,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:30:19.9459955Z [2022-11-23 01:25:13,240] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0b14d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4623>
2022-11-23T01:30:19.9460206Z [2022-11-23 01:25:13,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:30:19.9460426Z [2022-11-23 01:25:13,240] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9460678Z [2022-11-23 01:25:13,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9460926Z [2022-11-23 01:25:13,263] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9461114Z [2022-11-23 01:25:13,263] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9461247Z  __compiled_fn_219 <eval_with_key>.1760 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9461334Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9461417Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9461710Z call_function, histogramdd, <built-in method histogramdd of type object at 0x7ff5d7c59c60>, (ex_0_,), {'bins': [3, 3], 'weight': ex_1_}
2022-11-23T01:30:19.9461899Z call_function, getitem, <built-in function getitem>, (histogramdd, 0), {}
2022-11-23T01:30:19.9462100Z call_function, getitem_1, <built-in function getitem>, (histogramdd, 1), {}
2022-11-23T01:30:19.9462290Z call_function, getitem_2, <built-in function getitem>, (getitem_1, 0), {}
2022-11-23T01:30:19.9462483Z call_function, getitem_3, <built-in function getitem>, (getitem_1, 1), {}
2022-11-23T01:30:19.9462607Z output, output, output, ((getitem, getitem_2, getitem_3),), {}
2022-11-23T01:30:19.9462612Z 
2022-11-23T01:30:19.9462975Z [2022-11-23 01:25:13,263] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9463069Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9463157Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9463230Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9463321Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9463403Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9463490Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9463564Z              12 RETURN_VALUE
2022-11-23T01:30:19.9463569Z 
2022-11-23T01:30:19.9463630Z  
2022-11-23T01:30:19.9463951Z [2022-11-23 01:25:13,264] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9464087Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_219)
2022-11-23T01:30:19.9464166Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9464254Z               4 LOAD_CONST               2 (0)
2022-11-23T01:30:19.9464330Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9464417Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9464502Z              10 LOAD_CONST               3 (1)
2022-11-23T01:30:19.9464577Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9464662Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9464752Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9464956Z              18 LOAD_CONST               1 (<class 'torch.return_types.histogramdd'>)
2022-11-23T01:30:19.9465056Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9465146Z              22 LOAD_CONST               2 (0)
2022-11-23T01:30:19.9465221Z              24 BINARY_SUBSCR
2022-11-23T01:30:19.9465319Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9465409Z              28 LOAD_CONST               3 (1)
2022-11-23T01:30:19.9465471Z              30 BINARY_SUBSCR
2022-11-23T01:30:19.9465567Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9465653Z              34 LOAD_CONST               4 (2)
2022-11-23T01:30:19.9465727Z              36 BINARY_SUBSCR
2022-11-23T01:30:19.9465813Z              38 BUILD_TUPLE              2
2022-11-23T01:30:19.9465897Z              40 BUILD_TUPLE              2
2022-11-23T01:30:19.9465981Z              42 CALL_FUNCTION            1
2022-11-23T01:30:19.9466053Z              44 RETURN_VALUE
2022-11-23T01:30:19.9466059Z 
2022-11-23T01:30:19.9466107Z  
2022-11-23T01:30:19.9466288Z [2022-11-23 01:25:13,264] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9466358Z  - 
2022-11-23T01:30:19.9466476Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9466539Z             {
2022-11-23T01:30:19.9466677Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9466863Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9466970Z                 'obj_weakref': None
2022-11-23T01:30:19.9467190Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9467254Z             }
2022-11-23T01:30:19.9467316Z             
2022-11-23T01:30:19.9467383Z  - 
2022-11-23T01:30:19.9467504Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9467564Z             {
2022-11-23T01:30:19.9467691Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9467795Z                 'code': None,
2022-11-23T01:30:19.9468006Z                 'obj_weakref': <weakref at 0x7ff59c139a30; to 'Tensor' at 0x7ff59c1bbc90>
2022-11-23T01:30:19.9468257Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9468321Z             }
2022-11-23T01:30:19.9468382Z             
2022-11-23T01:30:19.9468451Z  - 
2022-11-23T01:30:19.9468602Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9468663Z             {
2022-11-23T01:30:19.9468806Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9468912Z                 'code': None,
2022-11-23T01:30:19.9469120Z                 'obj_weakref': <weakref at 0x7ff58ff5a160; to 'Tensor' at 0x7ff5a8058f40>
2022-11-23T01:30:19.9469371Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9469432Z             }
2022-11-23T01:30:19.9469481Z             
2022-11-23T01:30:19.9469548Z  - 
2022-11-23T01:30:19.9469676Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9469738Z             {
2022-11-23T01:30:19.9469871Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9470065Z                 'code': ['___check_obj_id(model, 140692658926016)'],
2022-11-23T01:30:19.9470181Z                 'obj_weakref': None
2022-11-23T01:30:19.9470398Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9470460Z             }
2022-11-23T01:30:19.9470520Z             
2022-11-23T01:30:19.9470588Z  - 
2022-11-23T01:30:19.9470707Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9470767Z             {
2022-11-23T01:30:19.9470899Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9471101Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9471216Z                 'obj_weakref': None
2022-11-23T01:30:19.9471434Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9471495Z             }
2022-11-23T01:30:19.9471556Z             
2022-11-23T01:30:19.9471625Z  - 
2022-11-23T01:30:19.9471754Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9471804Z             {
2022-11-23T01:30:19.9471921Z                 'guard_types': None,
2022-11-23T01:30:19.9472027Z                 'code': None,
2022-11-23T01:30:19.9472142Z                 'obj_weakref': None
2022-11-23T01:30:19.9472260Z                 'guarded_class': None
2022-11-23T01:30:19.9472320Z             }
2022-11-23T01:30:19.9472370Z             
2022-11-23T01:30:19.9472627Z [2022-11-23 01:25:13,287] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 212
2022-11-23T01:30:19.9472846Z [2022-11-23 01:25:13,288] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:30:19.9472955Z   target: aten._histogramdd_bin_edges.default
2022-11-23T01:30:19.9473047Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:30:19.9473285Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1]))
2022-11-23T01:30:19.9473347Z   ))
2022-11-23T01:30:19.9473414Z   args[1]: [3, 3]
2022-11-23T01:30:19.9473544Z   kwargs: {'weight': TensorBox(StorageBox(
2022-11-23T01:30:19.9473774Z     InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1]))
2022-11-23T01:30:19.9473904Z   ))}
2022-11-23T01:30:19.9474186Z [2022-11-23 01:25:13,296] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_bin_edges.default
2022-11-23T01:30:19.9474402Z [2022-11-23 01:25:13,298] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:30:19.9474512Z   target: aten._histogramdd_from_bin_cts.default
2022-11-23T01:30:19.9474599Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:30:19.9474822Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1]))
2022-11-23T01:30:19.9474881Z   ))
2022-11-23T01:30:19.9474949Z   args[1]: [3, 3]
2022-11-23T01:30:19.9475088Z   kwargs: {'weight': TensorBox(StorageBox(
2022-11-23T01:30:19.9475315Z     InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1]))
2022-11-23T01:30:19.9475380Z   ))}
2022-11-23T01:30:19.9475693Z [2022-11-23 01:25:13,306] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_from_bin_cts.default
2022-11-23T01:30:19.9476066Z [2022-11-23 01:25:13,310] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yj/cyj2k5u3wllhqvofhcsxymbxgpjllqngqwqzuk2ta3vgsnjg3kwl.py
2022-11-23T01:30:19.9476316Z [2022-11-23 01:25:13,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 212
2022-11-23T01:30:19.9476338Z 
2022-11-23T01:30:19.9476419Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9476490Z import torch
2022-11-23T01:30:19.9476561Z import random
2022-11-23T01:30:19.9476677Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9476798Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9476803Z 
2022-11-23T01:30:19.9476885Z aten = torch.ops.aten
2022-11-23T01:30:19.9477046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9477125Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9477130Z 
2022-11-23T01:30:19.9477150Z 
2022-11-23T01:30:19.9477226Z async_compile.wait(globals())
2022-11-23T01:30:19.9477299Z del async_compile
2022-11-23T01:30:19.9477304Z 
2022-11-23T01:30:19.9477376Z def call(args):
2022-11-23T01:30:19.9477453Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.9477527Z     args.clear()
2022-11-23T01:30:19.9477678Z     buf0 = torch.ops.aten._histogramdd_bin_edges.default(arg0_1, [3, 3], weight=arg1_1)
2022-11-23T01:30:19.9477750Z     buf1 = buf0[0]
2022-11-23T01:30:19.9477832Z     assert_size_stride(buf1, (4, ), (1, ))
2022-11-23T01:30:19.9477902Z     buf2 = buf0[1]
2022-11-23T01:30:19.9477997Z     assert_size_stride(buf2, (4, ), (1, ))
2022-11-23T01:30:19.9478062Z     del buf0
2022-11-23T01:30:19.9478216Z     buf3 = torch.ops.aten._histogramdd_from_bin_cts.default(arg0_1, [3, 3], weight=arg1_1)
2022-11-23T01:30:19.9478287Z     del arg0_1
2022-11-23T01:30:19.9478341Z     del arg1_1
2022-11-23T01:30:19.9478411Z     buf4 = buf3
2022-11-23T01:30:19.9478508Z     assert_size_stride(buf4, (3, 3), (3, 1))
2022-11-23T01:30:19.9478576Z     del buf3
2022-11-23T01:30:19.9478660Z     return (buf4, buf1, buf2, )
2022-11-23T01:30:19.9478666Z 
2022-11-23T01:30:19.9478670Z 
2022-11-23T01:30:19.9478747Z if __name__ == "__main__":
2022-11-23T01:30:19.9478861Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9478983Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9479168Z     arg0_1 = rand_strided((4, 2), (2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9479361Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9479478Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.9479483Z 
2022-11-23T01:30:19.9479551Z ok (0.083s)
2022-11-23T01:30:19.9479856Z   test_l1_loss_cpu (__main__.CpuTests) ... [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9480179Z [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9480398Z [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9480653Z [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9480928Z [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9481233Z [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9481577Z [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9481931Z [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9482315Z [2022-11-23 01:25:13,316] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e14d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3147> 
2022-11-23T01:30:19.9482414Z  3148           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9482505Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:30:19.9482607Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:30:19.9482704Z                6 LOAD_METHOD              3 (l1_loss)
2022-11-23T01:30:19.9482796Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9482872Z               10 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9482962Z               12 CALL_METHOD              2
2022-11-23T01:30:19.9483086Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9483175Z               16 LOAD_ATTR                1 (nn)
2022-11-23T01:30:19.9483278Z               18 LOAD_ATTR                2 (functional)
2022-11-23T01:30:19.9483375Z               20 LOAD_METHOD              4 (mse_loss)
2022-11-23T01:30:19.9483462Z               22 LOAD_FAST                0 (a)
2022-11-23T01:30:19.9483537Z               24 LOAD_FAST                1 (b)
2022-11-23T01:30:19.9483623Z               26 CALL_METHOD              2
2022-11-23T01:30:19.9483708Z               28 BUILD_TUPLE              2
2022-11-23T01:30:19.9483782Z               30 RETURN_VALUE
2022-11-23T01:30:19.9483842Z  
2022-11-23T01:30:19.9483847Z 
2022-11-23T01:30:19.9484159Z [2022-11-23 01:25:13,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3148
2022-11-23T01:30:19.9484377Z [2022-11-23 01:25:13,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9484741Z [2022-11-23 01:25:13,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9485120Z [2022-11-23 01:25:13,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:19.9485508Z [2022-11-23 01:25:13,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR l1_loss [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.9485796Z [2022-11-23 01:25:13,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function l1_loss at 0x7ff5aef985e0>)]
2022-11-23T01:30:19.9486109Z [2022-11-23 01:25:13,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function l1_loss at 0x7ff5aef985e0>), TensorVariable()]
2022-11-23T01:30:19.9486460Z [2022-11-23 01:25:13,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function l1_loss at 0x7ff5aef985e0>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9486705Z [2022-11-23 01:25:13,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:19.9487090Z [2022-11-23 01:25:13,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9487493Z [2022-11-23 01:25:13,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TensorVariable(), TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:19.9487927Z [2022-11-23 01:25:13,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mse_loss [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:19.9488270Z [2022-11-23 01:25:13,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function mse_loss at 0x7ff5aef98700>)]
2022-11-23T01:30:19.9488611Z [2022-11-23 01:25:13,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<function mse_loss at 0x7ff5aef98700>), TensorVariable()]
2022-11-23T01:30:19.9488988Z [2022-11-23 01:25:13,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function mse_loss at 0x7ff5aef98700>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9489252Z [2022-11-23 01:25:13,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9489482Z [2022-11-23 01:25:13,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9489860Z [2022-11-23 01:25:13,323] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e14d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3147>
2022-11-23T01:30:19.9490135Z [2022-11-23 01:25:13,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9490368Z [2022-11-23 01:25:13,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9490617Z [2022-11-23 01:25:13,324] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9490864Z [2022-11-23 01:25:13,331] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9491049Z [2022-11-23 01:25:13,331] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9491182Z  __compiled_fn_220 <eval_with_key>.1766 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9491269Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9491345Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9491482Z call_function, l1_loss, <function l1_loss at 0x7ff5aef985e0>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9491623Z call_function, mse_loss, <function mse_loss at 0x7ff5aef98700>, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9491731Z output, output, output, ((l1_loss, mse_loss),), {}
2022-11-23T01:30:19.9491738Z 
2022-11-23T01:30:19.9492062Z [2022-11-23 01:25:13,332] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9492153Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9492242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9492327Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9492406Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9492489Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9492573Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9492650Z              12 RETURN_VALUE
2022-11-23T01:30:19.9492655Z 
2022-11-23T01:30:19.9492716Z  
2022-11-23T01:30:19.9493038Z [2022-11-23 01:25:13,332] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9493145Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_220)
2022-11-23T01:30:19.9493232Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9493308Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9493383Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9493467Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9493554Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9493627Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9493711Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9493811Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9493898Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9493985Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9494059Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9494186Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9494273Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9494346Z              28 BINARY_SUBSCR
2022-11-23T01:30:19.9494430Z              30 BUILD_TUPLE              2
2022-11-23T01:30:19.9494493Z              32 RETURN_VALUE
2022-11-23T01:30:19.9494509Z 
2022-11-23T01:30:19.9494556Z  
2022-11-23T01:30:19.9494736Z [2022-11-23 01:25:13,333] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9494805Z  - 
2022-11-23T01:30:19.9494923Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9494985Z             {
2022-11-23T01:30:19.9495125Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9495298Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9495447Z                 'obj_weakref': None
2022-11-23T01:30:19.9495668Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9495734Z             }
2022-11-23T01:30:19.9495797Z             
2022-11-23T01:30:19.9495865Z  - 
2022-11-23T01:30:19.9495985Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9496035Z             {
2022-11-23T01:30:19.9496176Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9496279Z                 'code': None,
2022-11-23T01:30:19.9496608Z                 'obj_weakref': <weakref at 0x7ff58ff59d00; to 'Tensor' at 0x7ff59c1bbc90>
2022-11-23T01:30:19.9496860Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9496923Z             }
2022-11-23T01:30:19.9496985Z             
2022-11-23T01:30:19.9497040Z  - 
2022-11-23T01:30:19.9497162Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9497222Z             {
2022-11-23T01:30:19.9497365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9497470Z                 'code': None,
2022-11-23T01:30:19.9497682Z                 'obj_weakref': <weakref at 0x7ff58ff59620; to 'Tensor' at 0x7ff58fe05ee0>
2022-11-23T01:30:19.9497932Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9497995Z             }
2022-11-23T01:30:19.9498044Z             
2022-11-23T01:30:19.9498112Z  - 
2022-11-23T01:30:19.9498241Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9498304Z             {
2022-11-23T01:30:19.9498437Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9498606Z                 'code': ['___check_obj_id(model, 140693068981312)'],
2022-11-23T01:30:19.9498713Z                 'obj_weakref': None
2022-11-23T01:30:19.9498941Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9499005Z             }
2022-11-23T01:30:19.9499068Z             
2022-11-23T01:30:19.9499134Z  - 
2022-11-23T01:30:19.9499255Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9499315Z             {
2022-11-23T01:30:19.9499440Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9499654Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9499770Z                 'obj_weakref': None
2022-11-23T01:30:19.9499986Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9500048Z             }
2022-11-23T01:30:19.9500109Z             
2022-11-23T01:30:19.9500175Z  - 
2022-11-23T01:30:19.9500295Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9500355Z             {
2022-11-23T01:30:19.9500473Z                 'guard_types': None,
2022-11-23T01:30:19.9500578Z                 'code': None,
2022-11-23T01:30:19.9500693Z                 'obj_weakref': None
2022-11-23T01:30:19.9500814Z                 'guarded_class': None
2022-11-23T01:30:19.9500874Z             }
2022-11-23T01:30:19.9500925Z             
2022-11-23T01:30:19.9501229Z [2022-11-23 01:25:13,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 213
2022-11-23T01:30:19.9501598Z [2022-11-23 01:25:15,373] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iq/ciqj5rt3oqpq34wvm3xl6astcjde46gcajn3povh5uhrlfs6vbs2.py
2022-11-23T01:30:19.9501859Z [2022-11-23 01:25:15,373] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 213
2022-11-23T01:30:19.9501865Z 
2022-11-23T01:30:19.9501957Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9502026Z import torch
2022-11-23T01:30:19.9502095Z import random
2022-11-23T01:30:19.9502210Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9502316Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9502333Z 
2022-11-23T01:30:19.9502436Z aten = torch.ops.aten
2022-11-23T01:30:19.9502567Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9502658Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9502663Z 
2022-11-23T01:30:19.9502670Z 
2022-11-23T01:30:19.9502805Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9503009Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9503125Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.9503226Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:19.9503317Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9503419Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:30:19.9503478Z {
2022-11-23T01:30:19.9503563Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:30:19.9503645Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:30:19.9503707Z     {
2022-11-23T01:30:19.9503897Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:19.9503973Z         float tmp4 = 0;
2022-11-23T01:30:19.9504079Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:30:19.9504152Z         float tmp6 = 0;
2022-11-23T01:30:19.9504264Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:19.9504364Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9504427Z         {
2022-11-23T01:30:19.9504557Z             #pragma omp for reduction(+:tmp4_vec) reduction(+:tmp6_vec) 
2022-11-23T01:30:19.9504645Z             for(long i0=0; i0<192; i0+=1)
2022-11-23T01:30:19.9504698Z             {
2022-11-23T01:30:19.9504829Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.9504960Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:19.9505090Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.9505173Z                 auto tmp3 = tmp2.abs();
2022-11-23T01:30:19.9505260Z                 auto tmp5 = tmp2 * tmp2;
2022-11-23T01:30:19.9505338Z                 tmp4_vec += tmp3;
2022-11-23T01:30:19.9505405Z                 tmp6_vec += tmp5;
2022-11-23T01:30:19.9505466Z             }
2022-11-23T01:30:19.9505659Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:30:19.9505849Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:19.9505991Z             #pragma omp for simd simdlen(4) reduction(+:tmp4) reduction(+:tmp6) 
2022-11-23T01:30:19.9506079Z             for(long i0=1536; i0<1536; i0+=1)
2022-11-23T01:30:19.9506141Z             {
2022-11-23T01:30:19.9506225Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9506298Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:19.9506425Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.9506520Z                 auto tmp3 = std::abs(tmp2);
2022-11-23T01:30:19.9506603Z                 auto tmp5 = tmp2 * tmp2;
2022-11-23T01:30:19.9506731Z                 tmp4 += tmp3;
2022-11-23T01:30:19.9506806Z                 tmp6 += tmp5;
2022-11-23T01:30:19.9506867Z             }
2022-11-23T01:30:19.9506917Z         }
2022-11-23T01:30:19.9506991Z         out_ptr0[0] = tmp4;
2022-11-23T01:30:19.9507064Z         out_ptr1[0] = tmp6;
2022-11-23T01:30:19.9507125Z     }
2022-11-23T01:30:19.9507184Z     {
2022-11-23T01:30:19.9507243Z         {
2022-11-23T01:30:19.9507325Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:30:19.9507415Z             auto tmp1 = static_cast<float>(1536);
2022-11-23T01:30:19.9507497Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.9507577Z             in_out_ptr0[0] = tmp2;
2022-11-23T01:30:19.9507643Z         }
2022-11-23T01:30:19.9507703Z     }
2022-11-23T01:30:19.9507761Z     {
2022-11-23T01:30:19.9507823Z         {
2022-11-23T01:30:19.9507921Z             auto tmp0 = out_ptr1[0];
2022-11-23T01:30:19.9508022Z             auto tmp1 = static_cast<float>(1536);
2022-11-23T01:30:19.9508105Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.9508186Z             in_out_ptr1[0] = tmp2;
2022-11-23T01:30:19.9508249Z         }
2022-11-23T01:30:19.9508308Z     }
2022-11-23T01:30:19.9508354Z }
2022-11-23T01:30:19.9508434Z ''')
2022-11-23T01:30:19.9508439Z 
2022-11-23T01:30:19.9508444Z 
2022-11-23T01:30:19.9508530Z async_compile.wait(globals())
2022-11-23T01:30:19.9508601Z del async_compile
2022-11-23T01:30:19.9508606Z 
2022-11-23T01:30:19.9508679Z def call(args):
2022-11-23T01:30:19.9508751Z     arg0_1, arg1_1 = args
2022-11-23T01:30:19.9508822Z     args.clear()
2022-11-23T01:30:19.9509005Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9509174Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9509256Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:30:19.9509338Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:30:19.9509526Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2022-11-23T01:30:19.9509595Z     del arg0_1
2022-11-23T01:30:19.9509661Z     del arg1_1
2022-11-23T01:30:19.9509736Z     return (buf2, buf3, )
2022-11-23T01:30:19.9509741Z 
2022-11-23T01:30:19.9509745Z 
2022-11-23T01:30:19.9509808Z if __name__ == "__main__":
2022-11-23T01:30:19.9509920Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9510039Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9510255Z     arg0_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9510471Z     arg1_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9510585Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:19.9510590Z 
2022-11-23T01:30:19.9510655Z ok (2.063s)
2022-11-23T01:30:19.9510966Z   test_layer_norm_cpu (__main__.CpuTests) ... [2022-11-23 01:25:15,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9511284Z [2022-11-23 01:25:15,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9511488Z [2022-11-23 01:25:15,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9511729Z [2022-11-23 01:25:15,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9511997Z [2022-11-23 01:25:15,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9512306Z [2022-11-23 01:25:15,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9512637Z [2022-11-23 01:25:15,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9512987Z [2022-11-23 01:25:15,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9513233Z [2022-11-23 01:25:15,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9513463Z [2022-11-23 01:25:15,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9513712Z [2022-11-23 01:25:15,395] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9514026Z [2022-11-23 01:25:15,419] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9514204Z [2022-11-23 01:25:15,420] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9514337Z  __compiled_fn_221 <eval_with_key>.1772 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9514461Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9514559Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.9514661Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:30:19.9514758Z output, output, output, ((model_1,),), {}
2022-11-23T01:30:19.9514764Z 
2022-11-23T01:30:19.9515089Z [2022-11-23 01:25:15,421] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9515181Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9515258Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9515342Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9515430Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9515513Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9515600Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9515675Z              12 RETURN_VALUE
2022-11-23T01:30:19.9515682Z 
2022-11-23T01:30:19.9515742Z  
2022-11-23T01:30:19.9516051Z [2022-11-23 01:25:15,421] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9516160Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_221)
2022-11-23T01:30:19.9516250Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9516340Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9516419Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9516506Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9516596Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9516659Z              12 RETURN_VALUE
2022-11-23T01:30:19.9516677Z 
2022-11-23T01:30:19.9516725Z  
2022-11-23T01:30:19.9516907Z [2022-11-23 01:25:15,423] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9516977Z  - 
2022-11-23T01:30:19.9517097Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9517164Z             {
2022-11-23T01:30:19.9517305Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9517495Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9517601Z                 'obj_weakref': None
2022-11-23T01:30:19.9517824Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9517891Z             }
2022-11-23T01:30:19.9517956Z             
2022-11-23T01:30:19.9518026Z  - 
2022-11-23T01:30:19.9518153Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9518220Z             {
2022-11-23T01:30:19.9518350Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9518458Z                 'code': None,
2022-11-23T01:30:19.9518673Z                 'obj_weakref': <weakref at 0x7ff58fd522f0; to 'Tensor' at 0x7ff58fe762a0>
2022-11-23T01:30:19.9518926Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9518994Z             }
2022-11-23T01:30:19.9519059Z             
2022-11-23T01:30:19.9519133Z  - 
2022-11-23T01:30:19.9519240Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9519340Z             {
2022-11-23T01:30:19.9519478Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9519648Z                 'code': ['___check_obj_id(model, 140692862895728)'],
2022-11-23T01:30:19.9519868Z                 'obj_weakref': <weakref at 0x7ff5a83c6660; to 'Sequential' at 0x7ff59c1d8670>
2022-11-23T01:30:19.9520102Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.9520167Z             }
2022-11-23T01:30:19.9520218Z             
2022-11-23T01:30:19.9520287Z  - 
2022-11-23T01:30:19.9520411Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9520475Z             {
2022-11-23T01:30:19.9520611Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9520827Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9520974Z                 'obj_weakref': None
2022-11-23T01:30:19.9521182Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9521245Z             }
2022-11-23T01:30:19.9521312Z             
2022-11-23T01:30:19.9521381Z  - 
2022-11-23T01:30:19.9521529Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.9521592Z             {
2022-11-23T01:30:19.9521712Z                 'guard_types': None,
2022-11-23T01:30:19.9521804Z                 'code': None,
2022-11-23T01:30:19.9521919Z                 'obj_weakref': None
2022-11-23T01:30:19.9522041Z                 'guarded_class': None
2022-11-23T01:30:19.9522102Z             }
2022-11-23T01:30:19.9522163Z             
2022-11-23T01:30:19.9522228Z  - 
2022-11-23T01:30:19.9522360Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.9522421Z             {
2022-11-23T01:30:19.9522541Z                 'guard_types': None,
2022-11-23T01:30:19.9522648Z                 'code': None,
2022-11-23T01:30:19.9522767Z                 'obj_weakref': None
2022-11-23T01:30:19.9522886Z                 'guarded_class': None
2022-11-23T01:30:19.9522947Z             }
2022-11-23T01:30:19.9522997Z             
2022-11-23T01:30:19.9523257Z [2022-11-23 01:25:15,537] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 214
2022-11-23T01:30:19.9523619Z [2022-11-23 01:25:18,253] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rv/crv5yxpfpyoo36br72wa47vjwc76eqasgza7wh2dqt6ikdyy3ptz.py
2022-11-23T01:30:19.9523881Z [2022-11-23 01:25:18,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 214
2022-11-23T01:30:19.9523886Z 
2022-11-23T01:30:19.9523979Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9524046Z import torch
2022-11-23T01:30:19.9524114Z import random
2022-11-23T01:30:19.9524226Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9524336Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9524341Z 
2022-11-23T01:30:19.9524417Z aten = torch.ops.aten
2022-11-23T01:30:19.9524548Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9524639Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9524644Z 
2022-11-23T01:30:19.9524649Z 
2022-11-23T01:30:19.9524780Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9524982Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9525096Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.9525196Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:19.9525287Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9525389Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:19.9525493Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:19.9525593Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.9525686Z                        float* __restrict__ out_ptr3)
2022-11-23T01:30:19.9525745Z {
2022-11-23T01:30:19.9525861Z     auto out_ptr2 = in_out_ptr0;
2022-11-23T01:30:19.9525932Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:30:19.9526032Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9526091Z     {
2022-11-23T01:30:19.9526170Z         #pragma omp for 
2022-11-23T01:30:19.9526249Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.9526310Z         {
2022-11-23T01:30:19.9526371Z             {
2022-11-23T01:30:19.9526550Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:19.9526627Z                 float tmp1 = 0;
2022-11-23T01:30:19.9526745Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:19.9526833Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.9526936Z                 {
2022-11-23T01:30:19.9527076Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:30:19.9527160Z                     tmp1_vec += tmp0;
2022-11-23T01:30:19.9527223Z                 }
2022-11-23T01:30:19.9527406Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:19.9527524Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:19.9527612Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:30:19.9527675Z                 {
2022-11-23T01:30:19.9527771Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:19.9527847Z                     tmp1 += tmp0;
2022-11-23T01:30:19.9527909Z                 }
2022-11-23T01:30:19.9527978Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.9528039Z             }
2022-11-23T01:30:19.9528099Z         }
2022-11-23T01:30:19.9528176Z         #pragma omp for 
2022-11-23T01:30:19.9528256Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.9528316Z         {
2022-11-23T01:30:19.9528379Z             {
2022-11-23T01:30:19.9528555Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:19.9528633Z                 float tmp6 = 0;
2022-11-23T01:30:19.9528751Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:19.9528829Z                 float tmp7 = 0;
2022-11-23T01:30:19.9528947Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:19.9529033Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.9529095Z                 {
2022-11-23T01:30:19.9529235Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:30:19.9529350Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:19.9529486Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:30:19.9529576Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:19.9529714Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:19.9529803Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:19.9529882Z                     tmp6_vec += tmp5;
2022-11-23T01:30:19.9529961Z                     tmp7_vec += tmp0;
2022-11-23T01:30:19.9530024Z                 }
2022-11-23T01:30:19.9530206Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:19.9530396Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:30:19.9530534Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:30:19.9530623Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:30:19.9530690Z                 {
2022-11-23T01:30:19.9530785Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:19.9530877Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:30:19.9531005Z                     auto tmp2 = static_cast<float>(32);
2022-11-23T01:30:19.9531083Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:19.9531217Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:19.9531302Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:19.9531378Z                     tmp6 += tmp5;
2022-11-23T01:30:19.9531453Z                     tmp7 += tmp0;
2022-11-23T01:30:19.9531516Z                 }
2022-11-23T01:30:19.9531595Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:30:19.9531662Z                 out_ptr2[i0] = tmp7;
2022-11-23T01:30:19.9531725Z             }
2022-11-23T01:30:19.9531784Z         }
2022-11-23T01:30:19.9531860Z         #pragma omp for 
2022-11-23T01:30:19.9531938Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.9532026Z         {
2022-11-23T01:30:19.9532158Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2022-11-23T01:30:19.9532279Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:30:19.9532361Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.9532453Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9532514Z         }
2022-11-23T01:30:19.9532606Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.9532685Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:19.9532745Z         {
2022-11-23T01:30:19.9532816Z             auto tmp0 = out_ptr2[i0];
2022-11-23T01:30:19.9532913Z             auto tmp1 = static_cast<float>(32);
2022-11-23T01:30:19.9532997Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.9533076Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.9533136Z         }
2022-11-23T01:30:19.9533214Z         #pragma omp for 
2022-11-23T01:30:19.9533292Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.9533344Z         {
2022-11-23T01:30:19.9533472Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:30:19.9533604Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:30:19.9533686Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.9533884Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:30:19.9533966Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.9534048Z             auto tmp5 = tmp4.sqrt();
2022-11-23T01:30:19.9534131Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:30:19.9534223Z             tmp6.store(in_out_ptr1 + 8*i0);
2022-11-23T01:30:19.9534282Z         }
2022-11-23T01:30:19.9534377Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.9534457Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:19.9534517Z         {
2022-11-23T01:30:19.9534599Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:19.9534685Z             auto tmp1 = static_cast<float>(32);
2022-11-23T01:30:19.9534769Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:19.9534916Z             auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:30:19.9535002Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:19.9535090Z             auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:30:19.9535167Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:30:19.9535247Z             in_out_ptr1[i0] = tmp6;
2022-11-23T01:30:19.9535296Z         }
2022-11-23T01:30:19.9535370Z         #pragma omp for 
2022-11-23T01:30:19.9535447Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.9535507Z         {
2022-11-23T01:30:19.9535586Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:19.9535648Z             {
2022-11-23T01:30:19.9535785Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:30:19.9535900Z                 auto tmp1 = at::vec::Vectorized<float>(in_out_ptr0[i0]);
2022-11-23T01:30:19.9536025Z                 auto tmp3 = at::vec::Vectorized<float>(in_out_ptr1[i0]);
2022-11-23T01:30:19.9536157Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:30:19.9536315Z                 auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2022-11-23T01:30:19.9536563Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.9536651Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:30:19.9536735Z                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:19.9536818Z                 auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:19.9536931Z                 auto tmp9 = at::vec::clamp_min(tmp8, decltype(tmp8)(0));
2022-11-23T01:30:19.9537037Z                 tmp9.store(out_ptr3 + (8*i1) + (32*i0));
2022-11-23T01:30:19.9537100Z             }
2022-11-23T01:30:19.9537189Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:19.9537272Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:30:19.9537336Z             {
2022-11-23T01:30:19.9537430Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:19.9537560Z                 auto tmp1 = in_out_ptr0[i0];
2022-11-23T01:30:19.9537650Z                 auto tmp3 = in_out_ptr1[i0];
2022-11-23T01:30:19.9537736Z                 auto tmp5 = in_ptr1[i1];
2022-11-23T01:30:19.9537821Z                 auto tmp7 = in_ptr2[i1];
2022-11-23T01:30:19.9537948Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:19.9538034Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:30:19.9538118Z                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:19.9538188Z                 auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:19.9538278Z                 auto tmp9 = tmp8 * (tmp8>0);
2022-11-23T01:30:19.9538368Z                 out_ptr3[i1 + (32*i0)] = tmp9;
2022-11-23T01:30:19.9538430Z             }
2022-11-23T01:30:19.9538492Z         }
2022-11-23T01:30:19.9538552Z     }
2022-11-23T01:30:19.9538612Z }
2022-11-23T01:30:19.9538677Z ''')
2022-11-23T01:30:19.9538683Z 
2022-11-23T01:30:19.9538700Z 
2022-11-23T01:30:19.9538776Z async_compile.wait(globals())
2022-11-23T01:30:19.9538849Z del async_compile
2022-11-23T01:30:19.9538854Z 
2022-11-23T01:30:19.9538924Z def call(args):
2022-11-23T01:30:19.9539025Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.9539096Z     args.clear()
2022-11-23T01:30:19.9539294Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9539485Z     buf1 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9539662Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9539746Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:30:19.9539826Z     buf4 = buf1; del buf1  # reuse
2022-11-23T01:30:19.9540019Z     buf5 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9540289Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:30:19.9540414Z     return (buf5, primals_1, primals_2, primals_3, buf3, buf4, )
2022-11-23T01:30:19.9540419Z 
2022-11-23T01:30:19.9540424Z 
2022-11-23T01:30:19.9540500Z if __name__ == "__main__":
2022-11-23T01:30:19.9540613Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9540721Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9540922Z     primals_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9541118Z     primals_2 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9541320Z     primals_3 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9541455Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.9541460Z 
2022-11-23T01:30:19.9541526Z ok (2.888s)
2022-11-23T01:30:19.9541830Z   test_leaky_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:25:18,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9542188Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9542408Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9542648Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9542924Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9543241Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9543585Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9543935Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9544309Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f4870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429> 
2022-11-23T01:30:19.9544403Z  2430           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9544501Z                2 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:30:19.9544591Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9544679Z                6 LOAD_CONST               1 (0.2)
2022-11-23T01:30:19.9544756Z                8 CALL_METHOD              2
2022-11-23T01:30:19.9544842Z               10 LOAD_CONST               2 (2)
2022-11-23T01:30:19.9544915Z               12 BINARY_ADD
2022-11-23T01:30:19.9545007Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9545106Z               16 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:30:19.9545194Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9545283Z               20 LOAD_CONST               3 (1)
2022-11-23T01:30:19.9545343Z               22 BINARY_ADD
2022-11-23T01:30:19.9545428Z               24 CALL_METHOD              1
2022-11-23T01:30:19.9545516Z               26 BUILD_TUPLE              2
2022-11-23T01:30:19.9545597Z               28 RETURN_VALUE
2022-11-23T01:30:19.9545656Z  
2022-11-23T01:30:19.9545661Z 
2022-11-23T01:30:19.9545972Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2430
2022-11-23T01:30:19.9546186Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9546495Z [2022-11-23 01:25:18,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9546742Z [2022-11-23 01:25:18,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu)]
2022-11-23T01:30:19.9547027Z [2022-11-23 01:25:18,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.2 [TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:30:19.9547359Z [2022-11-23 01:25:18,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:19.9547594Z [2022-11-23 01:25:18,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.9547870Z [2022-11-23 01:25:18,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9548112Z [2022-11-23 01:25:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.9548452Z [2022-11-23 01:25:18,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9548773Z [2022-11-23 01:25:18,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.leaky_relu)]
2022-11-23T01:30:19.9549083Z [2022-11-23 01:25:18,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:30:19.9549441Z [2022-11-23 01:25:18,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9549744Z [2022-11-23 01:25:18,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:30:19.9550009Z [2022-11-23 01:25:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9550281Z [2022-11-23 01:25:18,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9550665Z [2022-11-23 01:25:18,301] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f4870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2429>
2022-11-23T01:30:19.9550907Z [2022-11-23 01:25:18,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9551139Z [2022-11-23 01:25:18,301] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9551394Z [2022-11-23 01:25:18,303] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9551641Z [2022-11-23 01:25:18,312] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9551829Z [2022-11-23 01:25:18,313] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9551965Z  __compiled_fn_222 <eval_with_key>.1783 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9552041Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9552167Z call_function, leaky_relu, aten.leaky_relu, (ex_0_, 0.2), {}
2022-11-23T01:30:19.9552348Z call_function, add, <built-in function add>, (leaky_relu, 2), {}
2022-11-23T01:30:19.9552524Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9552643Z call_function, leaky_relu_1, aten.leaky_relu, (add_1,), {}
2022-11-23T01:30:19.9552753Z output, output, output, ((add, leaky_relu_1),), {}
2022-11-23T01:30:19.9552758Z 
2022-11-23T01:30:19.9553083Z [2022-11-23 01:25:18,314] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9553175Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9553252Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9553341Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9553433Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9553520Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9553612Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9553690Z              12 RETURN_VALUE
2022-11-23T01:30:19.9553695Z 
2022-11-23T01:30:19.9553756Z  
2022-11-23T01:30:19.9554132Z [2022-11-23 01:25:18,314] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9554239Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_222)
2022-11-23T01:30:19.9554330Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9554420Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9554497Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9554585Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9554690Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9554794Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9554870Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9554994Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.9555098Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9555185Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9555262Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9555353Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.9555429Z              26 RETURN_VALUE
2022-11-23T01:30:19.9555435Z 
2022-11-23T01:30:19.9555481Z  
2022-11-23T01:30:19.9555667Z [2022-11-23 01:25:18,316] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9555738Z  - 
2022-11-23T01:30:19.9555858Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9555924Z             {
2022-11-23T01:30:19.9556069Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9556255Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9556391Z                 'obj_weakref': None
2022-11-23T01:30:19.9556617Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9556683Z             }
2022-11-23T01:30:19.9556747Z             
2022-11-23T01:30:19.9556816Z  - 
2022-11-23T01:30:19.9556940Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9557003Z             {
2022-11-23T01:30:19.9557133Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9557243Z                 'code': None,
2022-11-23T01:30:19.9557458Z                 'obj_weakref': <weakref at 0x7ff58fd09530; to 'Tensor' at 0x7ff58fe762a0>
2022-11-23T01:30:19.9557713Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9557777Z             }
2022-11-23T01:30:19.9557841Z             
2022-11-23T01:30:19.9557911Z  - 
2022-11-23T01:30:19.9558032Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9558095Z             {
2022-11-23T01:30:19.9558228Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9558401Z                 'code': ['___check_obj_id(model, 140693067550432)'],
2022-11-23T01:30:19.9558521Z                 'obj_weakref': None
2022-11-23T01:30:19.9558752Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9558814Z             }
2022-11-23T01:30:19.9558863Z             
2022-11-23T01:30:19.9558928Z  - 
2022-11-23T01:30:19.9559049Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9559112Z             {
2022-11-23T01:30:19.9559245Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9559459Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9559575Z                 'obj_weakref': None
2022-11-23T01:30:19.9559780Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9559848Z             }
2022-11-23T01:30:19.9559908Z             
2022-11-23T01:30:19.9559979Z  - 
2022-11-23T01:30:19.9560112Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.9560173Z             {
2022-11-23T01:30:19.9560290Z                 'guard_types': None,
2022-11-23T01:30:19.9560383Z                 'code': None,
2022-11-23T01:30:19.9560497Z                 'obj_weakref': None
2022-11-23T01:30:19.9560618Z                 'guarded_class': None
2022-11-23T01:30:19.9560679Z             }
2022-11-23T01:30:19.9560740Z             
2022-11-23T01:30:19.9560997Z [2022-11-23 01:25:18,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 215
2022-11-23T01:30:19.9561362Z [2022-11-23 01:25:20,911] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckdpwaxafaudp75pmn6gr53jj442lzgz65d7u2a2yemrqjptsm7f.py
2022-11-23T01:30:19.9561616Z [2022-11-23 01:25:20,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 215
2022-11-23T01:30:19.9561635Z 
2022-11-23T01:30:19.9561716Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9561786Z import torch
2022-11-23T01:30:19.9561885Z import random
2022-11-23T01:30:19.9561999Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9562118Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9562122Z 
2022-11-23T01:30:19.9562198Z aten = torch.ops.aten
2022-11-23T01:30:19.9562328Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9562407Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9562412Z 
2022-11-23T01:30:19.9562427Z 
2022-11-23T01:30:19.9562547Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9562750Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9562868Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9562966Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.9563091Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.9563149Z {
2022-11-23T01:30:19.9563249Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9563297Z     {
2022-11-23T01:30:19.9563373Z         #pragma omp for 
2022-11-23T01:30:19.9563454Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:19.9563517Z         {
2022-11-23T01:30:19.9563578Z             {
2022-11-23T01:30:19.9563640Z                 {
2022-11-23T01:30:19.9563718Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9563820Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:30:19.9563908Z                     auto tmp2 = tmp0 > tmp1;
2022-11-23T01:30:19.9564011Z                     auto tmp3 = static_cast<float>(0.2);
2022-11-23T01:30:19.9564101Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:30:19.9564195Z                     auto tmp5 = tmp2 ? tmp0 : tmp4;
2022-11-23T01:30:19.9564294Z                     auto tmp6 = static_cast<float>(2);
2022-11-23T01:30:19.9564384Z                     auto tmp7 = tmp5 + tmp6;
2022-11-23T01:30:19.9564472Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:30:19.9564561Z                     auto tmp9 = tmp0 + tmp8;
2022-11-23T01:30:19.9564652Z                     auto tmp10 = tmp9 > tmp1;
2022-11-23T01:30:19.9564757Z                     auto tmp11 = static_cast<float>(0.01);
2022-11-23T01:30:19.9564848Z                     auto tmp12 = tmp9 * tmp11;
2022-11-23T01:30:19.9564947Z                     auto tmp13 = tmp10 ? tmp9 : tmp12;
2022-11-23T01:30:19.9565030Z                     out_ptr0[i0] = tmp7;
2022-11-23T01:30:19.9565102Z                     out_ptr1[i0] = tmp13;
2022-11-23T01:30:19.9565165Z                 }
2022-11-23T01:30:19.9565227Z             }
2022-11-23T01:30:19.9565288Z         }
2022-11-23T01:30:19.9565348Z     }
2022-11-23T01:30:19.9565406Z }
2022-11-23T01:30:19.9565472Z ''')
2022-11-23T01:30:19.9565487Z 
2022-11-23T01:30:19.9565495Z 
2022-11-23T01:30:19.9565571Z async_compile.wait(globals())
2022-11-23T01:30:19.9565641Z del async_compile
2022-11-23T01:30:19.9565646Z 
2022-11-23T01:30:19.9565714Z def call(args):
2022-11-23T01:30:19.9565783Z     arg0_1, = args
2022-11-23T01:30:19.9565853Z     args.clear()
2022-11-23T01:30:19.9566052Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9566249Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9566402Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.9566471Z     del arg0_1
2022-11-23T01:30:19.9566547Z     return (buf0, buf1, )
2022-11-23T01:30:19.9566552Z 
2022-11-23T01:30:19.9566556Z 
2022-11-23T01:30:19.9566630Z if __name__ == "__main__":
2022-11-23T01:30:19.9566741Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9566861Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9567060Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9567165Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.9567170Z 
2022-11-23T01:30:19.9567252Z ok (2.650s)
2022-11-23T01:30:19.9567557Z   test_lgamma_cpu (__main__.CpuTests) ... [2022-11-23 01:25:20,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9567871Z [2022-11-23 01:25:20,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9568088Z [2022-11-23 01:25:20,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9568339Z [2022-11-23 01:25:20,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:19.9568616Z [2022-11-23 01:25:20,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:19.9568962Z [2022-11-23 01:25:20,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9569305Z [2022-11-23 01:25:20,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9569629Z [2022-11-23 01:25:20,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9570001Z [2022-11-23 01:25:20,919] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1128c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125> 
2022-11-23T01:30:19.9570084Z  2126           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9570178Z                2 LOAD_METHOD              1 (lgamma)
2022-11-23T01:30:19.9570269Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9570360Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9570447Z                8 LOAD_CONST               1 (2)
2022-11-23T01:30:19.9570517Z               10 BINARY_ADD
2022-11-23T01:30:19.9570613Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:19.9570704Z               14 LOAD_METHOD              2 (cos)
2022-11-23T01:30:19.9570780Z               16 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9570866Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9570937Z               20 BINARY_ADD
2022-11-23T01:30:19.9571023Z               22 CALL_METHOD              1
2022-11-23T01:30:19.9571108Z               24 BUILD_TUPLE              2
2022-11-23T01:30:19.9571181Z               26 RETURN_VALUE
2022-11-23T01:30:19.9571229Z  
2022-11-23T01:30:19.9571245Z 
2022-11-23T01:30:19.9571545Z [2022-11-23 01:25:20,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2126
2022-11-23T01:30:19.9571760Z [2022-11-23 01:25:20,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:19.9572139Z [2022-11-23 01:25:20,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR lgamma [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9572419Z [2022-11-23 01:25:20,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.lgamma)]
2022-11-23T01:30:19.9572705Z [2022-11-23 01:25:20,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.lgamma), TensorVariable()]
2022-11-23T01:30:19.9572941Z [2022-11-23 01:25:20,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:19.9573221Z [2022-11-23 01:25:20,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9573460Z [2022-11-23 01:25:20,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:19.9573792Z [2022-11-23 01:25:20,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:19.9574096Z [2022-11-23 01:25:20,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:30:19.9574392Z [2022-11-23 01:25:20,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:30:19.9574745Z [2022-11-23 01:25:20,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:19.9575052Z [2022-11-23 01:25:20,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:30:19.9575318Z [2022-11-23 01:25:20,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9575590Z [2022-11-23 01:25:20,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9575970Z [2022-11-23 01:25:20,935] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1128c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2125>
2022-11-23T01:30:19.9576213Z [2022-11-23 01:25:20,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9576549Z [2022-11-23 01:25:20,936] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9576803Z [2022-11-23 01:25:20,937] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9577051Z [2022-11-23 01:25:20,942] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9577227Z [2022-11-23 01:25:20,942] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9577362Z  __compiled_fn_223 <eval_with_key>.1789 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9577449Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9577560Z call_function, lgamma, aten.lgamma, (ex_0_,), {}
2022-11-23T01:30:19.9577734Z call_function, add, <built-in function add>, (lgamma, 2), {}
2022-11-23T01:30:19.9577905Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:19.9578003Z call_function, cos, aten.cos, (add_1,), {}
2022-11-23T01:30:19.9578088Z output, output, output, ((add, cos),), {}
2022-11-23T01:30:19.9578105Z 
2022-11-23T01:30:19.9578417Z [2022-11-23 01:25:20,943] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9578509Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9578605Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9578690Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9578783Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9578866Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9578956Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9579019Z              12 RETURN_VALUE
2022-11-23T01:30:19.9579035Z 
2022-11-23T01:30:19.9579083Z  
2022-11-23T01:30:19.9579403Z [2022-11-23 01:25:20,943] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9579510Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_223)
2022-11-23T01:30:19.9579598Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9579689Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9579764Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9579849Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9579939Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9580040Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9580130Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9580205Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.9580349Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9580436Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9580510Z              22 BINARY_SUBSCR
2022-11-23T01:30:19.9580584Z              24 BUILD_TUPLE              2
2022-11-23T01:30:19.9580658Z              26 RETURN_VALUE
2022-11-23T01:30:19.9580663Z 
2022-11-23T01:30:19.9580722Z  
2022-11-23T01:30:19.9580903Z [2022-11-23 01:25:20,943] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9580972Z  - 
2022-11-23T01:30:19.9581089Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9581153Z             {
2022-11-23T01:30:19.9581281Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9581466Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9581621Z                 'obj_weakref': None
2022-11-23T01:30:19.9581844Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9581911Z             }
2022-11-23T01:30:19.9581973Z             
2022-11-23T01:30:19.9582040Z  - 
2022-11-23T01:30:19.9582150Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9582211Z             {
2022-11-23T01:30:19.9582352Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9582458Z                 'code': None,
2022-11-23T01:30:19.9582669Z                 'obj_weakref': <weakref at 0x7ff58ff5a200; to 'Tensor' at 0x7ff58f91d260>
2022-11-23T01:30:19.9582920Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9582982Z             }
2022-11-23T01:30:19.9583034Z             
2022-11-23T01:30:19.9583102Z  - 
2022-11-23T01:30:19.9583229Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:19.9583293Z             {
2022-11-23T01:30:19.9583426Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9583595Z                 'code': ['___check_obj_id(model, 140693067553024)'],
2022-11-23T01:30:19.9583711Z                 'obj_weakref': None
2022-11-23T01:30:19.9583927Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:19.9583989Z             }
2022-11-23T01:30:19.9584051Z             
2022-11-23T01:30:19.9584118Z  - 
2022-11-23T01:30:19.9584237Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9584297Z             {
2022-11-23T01:30:19.9584430Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9584632Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9584747Z                 'obj_weakref': None
2022-11-23T01:30:19.9584967Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9585032Z             }
2022-11-23T01:30:19.9585094Z             
2022-11-23T01:30:19.9585163Z  - 
2022-11-23T01:30:19.9585290Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:19.9585342Z             {
2022-11-23T01:30:19.9585459Z                 'guard_types': None,
2022-11-23T01:30:19.9585565Z                 'code': None,
2022-11-23T01:30:19.9585679Z                 'obj_weakref': None
2022-11-23T01:30:19.9585797Z                 'guarded_class': None
2022-11-23T01:30:19.9585857Z             }
2022-11-23T01:30:19.9585917Z             
2022-11-23T01:30:19.9586163Z [2022-11-23 01:25:20,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 216
2022-11-23T01:30:19.9586518Z [2022-11-23 01:25:22,396] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5z/c5z7mf62dr76qw5s2up4iay27uvwaxjcle6m4lbmvhnpwvjislwm.py
2022-11-23T01:30:19.9586779Z [2022-11-23 01:25:22,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 216
2022-11-23T01:30:19.9586787Z 
2022-11-23T01:30:19.9586879Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9586945Z import torch
2022-11-23T01:30:19.9587013Z import random
2022-11-23T01:30:19.9587152Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9587271Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9587276Z 
2022-11-23T01:30:19.9587340Z aten = torch.ops.aten
2022-11-23T01:30:19.9587470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9587560Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9587565Z 
2022-11-23T01:30:19.9587569Z 
2022-11-23T01:30:19.9587700Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9587902Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9588021Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:19.9588118Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:19.9588239Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:19.9588286Z {
2022-11-23T01:30:19.9588383Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9588445Z     {
2022-11-23T01:30:19.9588523Z         #pragma omp for 
2022-11-23T01:30:19.9588603Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:19.9588670Z         {
2022-11-23T01:30:19.9588807Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:19.9588882Z             auto tmp1 = tmp0.lgamma();
2022-11-23T01:30:19.9589013Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:19.9589097Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.9589226Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:19.9589309Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:19.9589390Z             auto tmp6 = tmp5.cos();
2022-11-23T01:30:19.9589478Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:30:19.9589558Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:30:19.9589619Z         }
2022-11-23T01:30:19.9589712Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.9589795Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:19.9589859Z         {
2022-11-23T01:30:19.9589943Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:19.9590040Z             auto tmp1 = std::lgamma(tmp0);
2022-11-23T01:30:19.9590125Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:30:19.9590210Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:19.9590312Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:30:19.9590400Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:19.9590489Z             auto tmp6 = std::cos(tmp5);
2022-11-23T01:30:19.9590570Z             out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.9590648Z             out_ptr1[i0] = tmp6;
2022-11-23T01:30:19.9590698Z         }
2022-11-23T01:30:19.9590759Z     }
2022-11-23T01:30:19.9590820Z }
2022-11-23T01:30:19.9590901Z ''')
2022-11-23T01:30:19.9590906Z 
2022-11-23T01:30:19.9590910Z 
2022-11-23T01:30:19.9591001Z async_compile.wait(globals())
2022-11-23T01:30:19.9591075Z del async_compile
2022-11-23T01:30:19.9591082Z 
2022-11-23T01:30:19.9591154Z def call(args):
2022-11-23T01:30:19.9591211Z     arg0_1, = args
2022-11-23T01:30:19.9591283Z     args.clear()
2022-11-23T01:30:19.9591486Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9591684Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9591848Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.9591917Z     del arg0_1
2022-11-23T01:30:19.9591994Z     return (buf0, buf1, )
2022-11-23T01:30:19.9592000Z 
2022-11-23T01:30:19.9592004Z 
2022-11-23T01:30:19.9592081Z if __name__ == "__main__":
2022-11-23T01:30:19.9592181Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9592307Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9592508Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9592643Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:19.9592649Z 
2022-11-23T01:30:19.9592718Z ok (1.485s)
2022-11-23T01:30:19.9593024Z   test_linear1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:22,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9593344Z [2022-11-23 01:25:22,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9593563Z [2022-11-23 01:25:22,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9593881Z [2022-11-23 01:25:22,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9594141Z [2022-11-23 01:25:22,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9594488Z [2022-11-23 01:25:22,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9594827Z [2022-11-23 01:25:22,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9595139Z [2022-11-23 01:25:22,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9595522Z [2022-11-23 01:25:22,409] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169> 
2022-11-23T01:30:19.9595612Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9595702Z               2 BUILD_TUPLE              1
2022-11-23T01:30:19.9595778Z               4 RETURN_VALUE
2022-11-23T01:30:19.9595841Z  
2022-11-23T01:30:19.9595847Z 
2022-11-23T01:30:19.9596147Z [2022-11-23 01:25:22,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:170
2022-11-23T01:30:19.9596354Z [2022-11-23 01:25:22,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9596591Z [2022-11-23 01:25:22,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:19.9596837Z [2022-11-23 01:25:22,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9597222Z [2022-11-23 01:25:22,409] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d1de8c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 169>
2022-11-23T01:30:19.9597465Z [2022-11-23 01:25:22,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:19.9597701Z [2022-11-23 01:25:22,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9597956Z [2022-11-23 01:25:22,410] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9598208Z [2022-11-23 01:25:22,418] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9598394Z [2022-11-23 01:25:22,418] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9598516Z  __compiled_fn_224 <eval_with_key>.1795 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9598601Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9598699Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.9598798Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:30:19.9598897Z output, output, output, ((model_1,),), {}
2022-11-23T01:30:19.9598902Z 
2022-11-23T01:30:19.9599229Z [2022-11-23 01:25:22,419] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9599324Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9599452Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9599526Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9599615Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9599702Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9599787Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9599860Z              12 RETURN_VALUE
2022-11-23T01:30:19.9599865Z 
2022-11-23T01:30:19.9599924Z  
2022-11-23T01:30:19.9600243Z [2022-11-23 01:25:22,419] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9600337Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_224)
2022-11-23T01:30:19.9600424Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9600564Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9600639Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9600723Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9600826Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:19.9600925Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:19.9601001Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9601076Z              16 BINARY_SUBSCR
2022-11-23T01:30:19.9601161Z              18 BUILD_TUPLE              1
2022-11-23T01:30:19.9601235Z              20 RETURN_VALUE
2022-11-23T01:30:19.9601240Z 
2022-11-23T01:30:19.9601302Z  
2022-11-23T01:30:19.9601482Z [2022-11-23 01:25:22,420] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9601550Z  - 
2022-11-23T01:30:19.9601667Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9601718Z             {
2022-11-23T01:30:19.9601856Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9602045Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9602164Z                 'obj_weakref': None
2022-11-23T01:30:19.9602389Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9602454Z             }
2022-11-23T01:30:19.9602514Z             
2022-11-23T01:30:19.9602570Z  - 
2022-11-23T01:30:19.9602691Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9602753Z             {
2022-11-23T01:30:19.9602892Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9602997Z                 'code': None,
2022-11-23T01:30:19.9603208Z                 'obj_weakref': <weakref at 0x7ff58fd09710; to 'Tensor' at 0x7ff58ff14b30>
2022-11-23T01:30:19.9603462Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9603513Z             }
2022-11-23T01:30:19.9603574Z             
2022-11-23T01:30:19.9603643Z  - 
2022-11-23T01:30:19.9603760Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9603821Z             {
2022-11-23T01:30:19.9603953Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9604121Z                 'code': ['___check_obj_id(model, 140693067715040)'],
2022-11-23T01:30:19.9604328Z                 'obj_weakref': <weakref at 0x7ff58fd51b20; to 'Sequential' at 0x7ff5a852d1e0>
2022-11-23T01:30:19.9604556Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.9604620Z             }
2022-11-23T01:30:19.9604683Z             
2022-11-23T01:30:19.9604750Z  - 
2022-11-23T01:30:19.9604871Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9604933Z             {
2022-11-23T01:30:19.9605056Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9605270Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9605388Z                 'obj_weakref': None
2022-11-23T01:30:19.9605610Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9605671Z             }
2022-11-23T01:30:19.9605757Z             
2022-11-23T01:30:19.9605824Z  - 
2022-11-23T01:30:19.9605956Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.9606017Z             {
2022-11-23T01:30:19.9606133Z                 'guard_types': None,
2022-11-23T01:30:19.9606237Z                 'code': None,
2022-11-23T01:30:19.9606353Z                 'obj_weakref': None
2022-11-23T01:30:19.9606471Z                 'guarded_class': None
2022-11-23T01:30:19.9606531Z             }
2022-11-23T01:30:19.9606581Z             
2022-11-23T01:30:19.9606646Z  - 
2022-11-23T01:30:19.9606788Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.9606850Z             {
2022-11-23T01:30:19.9606965Z                 'guard_types': None,
2022-11-23T01:30:19.9607069Z                 'code': None,
2022-11-23T01:30:19.9607202Z                 'obj_weakref': None
2022-11-23T01:30:19.9607320Z                 'guarded_class': None
2022-11-23T01:30:19.9607384Z             }
2022-11-23T01:30:19.9607446Z             
2022-11-23T01:30:19.9607514Z  - 
2022-11-23T01:30:19.9607656Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:30:19.9607717Z             {
2022-11-23T01:30:19.9607822Z                 'guard_types': None,
2022-11-23T01:30:19.9607924Z                 'code': None,
2022-11-23T01:30:19.9608040Z                 'obj_weakref': None
2022-11-23T01:30:19.9608157Z                 'guarded_class': None
2022-11-23T01:30:19.9608222Z             }
2022-11-23T01:30:19.9608283Z             
2022-11-23T01:30:19.9608541Z [2022-11-23 01:25:22,463] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 217
2022-11-23T01:30:19.9608892Z [2022-11-23 01:25:23,943] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nh/cnhu2ivce2rkl4c6mg526nzi4pynafitxi2zgaqm5gpduqaswstl.py
2022-11-23T01:30:19.9609154Z [2022-11-23 01:25:23,943] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 217
2022-11-23T01:30:19.9609159Z 
2022-11-23T01:30:19.9609250Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9609318Z import torch
2022-11-23T01:30:19.9609385Z import random
2022-11-23T01:30:19.9609498Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9609615Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9609620Z 
2022-11-23T01:30:19.9609695Z aten = torch.ops.aten
2022-11-23T01:30:19.9609816Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9609907Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9609912Z 
2022-11-23T01:30:19.9609917Z 
2022-11-23T01:30:19.9610048Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9610251Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9610366Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:30:19.9610427Z {
2022-11-23T01:30:19.9610523Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9610583Z     {
2022-11-23T01:30:19.9610647Z         #pragma omp for 
2022-11-23T01:30:19.9610729Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:19.9610789Z         {
2022-11-23T01:30:19.9610926Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9611060Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:30:19.9611155Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9611217Z         }
2022-11-23T01:30:19.9611297Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.9611378Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:19.9611439Z         {
2022-11-23T01:30:19.9611525Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.9611656Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:30:19.9611736Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:30:19.9611821Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:19.9611870Z         }
2022-11-23T01:30:19.9611928Z     }
2022-11-23T01:30:19.9611988Z }
2022-11-23T01:30:19.9612064Z ''')
2022-11-23T01:30:19.9612096Z 
2022-11-23T01:30:19.9612101Z 
2022-11-23T01:30:19.9612189Z async_compile.wait(globals())
2022-11-23T01:30:19.9612259Z del async_compile
2022-11-23T01:30:19.9612264Z 
2022-11-23T01:30:19.9612332Z def call(args):
2022-11-23T01:30:19.9612420Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:19.9612489Z     args.clear()
2022-11-23T01:30:19.9612684Z     buf0 = empty_strided((2, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9612845Z     aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:30:19.9612915Z     del primals_1
2022-11-23T01:30:19.9612983Z     del primals_2
2022-11-23T01:30:19.9613066Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:19.9613155Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.9613275Z     return (buf1, primals_3, buf1, )
2022-11-23T01:30:19.9613280Z 
2022-11-23T01:30:19.9613284Z 
2022-11-23T01:30:19.9613356Z if __name__ == "__main__":
2022-11-23T01:30:19.9613470Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9613589Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9613793Z     primals_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9613991Z     primals_2 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9614187Z     primals_3 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9614310Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:19.9614326Z 
2022-11-23T01:30:19.9614379Z ok (1.546s)
2022-11-23T01:30:19.9614684Z   test_linear2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:23,949] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9614998Z [2022-11-23 01:25:23,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9615217Z [2022-11-23 01:25:23,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9615458Z [2022-11-23 01:25:23,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9615724Z [2022-11-23 01:25:23,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9616033Z [2022-11-23 01:25:23,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9616364Z [2022-11-23 01:25:23,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9616788Z [2022-11-23 01:25:23,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9617025Z [2022-11-23 01:25:23,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9617257Z [2022-11-23 01:25:23,973] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9617509Z [2022-11-23 01:25:23,975] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9617756Z [2022-11-23 01:25:23,996] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9617944Z [2022-11-23 01:25:23,997] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9618076Z  __compiled_fn_225 <eval_with_key>.1806 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9618163Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9618261Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:19.9618353Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:30:19.9618453Z call_module, model_2, model_2, (model_1,), {}
2022-11-23T01:30:19.9618595Z call_module, model_3, model_3, (model_2,), {}
2022-11-23T01:30:19.9618691Z call_module, model_4, model_4, (model_3,), {}
2022-11-23T01:30:19.9618785Z call_module, model_5, model_5, (model_4,), {}
2022-11-23T01:30:19.9618880Z call_module, model_6, model_6, (model_5,), {}
2022-11-23T01:30:19.9618975Z call_module, model_7, model_7, (model_6,), {}
2022-11-23T01:30:19.9619061Z output, output, output, ((model_7,),), {}
2022-11-23T01:30:19.9619075Z 
2022-11-23T01:30:19.9619387Z [2022-11-23 01:25:23,997] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9619479Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9619568Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9619653Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9619778Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9619862Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9619950Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9620013Z              12 RETURN_VALUE
2022-11-23T01:30:19.9620029Z 
2022-11-23T01:30:19.9620077Z  
2022-11-23T01:30:19.9620398Z [2022-11-23 01:25:23,997] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9620506Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_225)
2022-11-23T01:30:19.9620593Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9620680Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9620753Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9620839Z               8 CALL_FUNCTION            1
2022-11-23T01:30:19.9620915Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9620990Z              12 RETURN_VALUE
2022-11-23T01:30:19.9620995Z 
2022-11-23T01:30:19.9621053Z  
2022-11-23T01:30:19.9621232Z [2022-11-23 01:25:23,998] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9621303Z  - 
2022-11-23T01:30:19.9621420Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9621482Z             {
2022-11-23T01:30:19.9621610Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9621793Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:19.9621910Z                 'obj_weakref': None
2022-11-23T01:30:19.9622133Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9622195Z             }
2022-11-23T01:30:19.9622256Z             
2022-11-23T01:30:19.9622322Z  - 
2022-11-23T01:30:19.9622432Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9622493Z             {
2022-11-23T01:30:19.9622633Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9622743Z                 'code': None,
2022-11-23T01:30:19.9622950Z                 'obj_weakref': <weakref at 0x7ff5a87a3240; to 'Tensor' at 0x7ff5a8481260>
2022-11-23T01:30:19.9623204Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9623265Z             }
2022-11-23T01:30:19.9623315Z             
2022-11-23T01:30:19.9623382Z  - 
2022-11-23T01:30:19.9623497Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9623559Z             {
2022-11-23T01:30:19.9623691Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9623859Z                 'code': ['___check_obj_id(model, 140693067617168)'],
2022-11-23T01:30:19.9624079Z                 'obj_weakref': <weakref at 0x7ff58fd50a90; to 'Sequential' at 0x7ff5a8515390>
2022-11-23T01:30:19.9624300Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:19.9624361Z             }
2022-11-23T01:30:19.9624424Z             
2022-11-23T01:30:19.9624491Z  - 
2022-11-23T01:30:19.9624612Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9624672Z             {
2022-11-23T01:30:19.9624839Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9625046Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9625161Z                 'obj_weakref': None
2022-11-23T01:30:19.9625381Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9625443Z             }
2022-11-23T01:30:19.9625505Z             
2022-11-23T01:30:19.9625570Z  - 
2022-11-23T01:30:19.9625713Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:19.9625762Z             {
2022-11-23T01:30:19.9625878Z                 'guard_types': None,
2022-11-23T01:30:19.9625982Z                 'code': None,
2022-11-23T01:30:19.9626096Z                 'obj_weakref': None
2022-11-23T01:30:19.9626245Z                 'guarded_class': None
2022-11-23T01:30:19.9626306Z             }
2022-11-23T01:30:19.9626366Z             
2022-11-23T01:30:19.9626421Z  - 
2022-11-23T01:30:19.9626564Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:19.9626627Z             {
2022-11-23T01:30:19.9626743Z                 'guard_types': None,
2022-11-23T01:30:19.9626847Z                 'code': None,
2022-11-23T01:30:19.9626963Z                 'obj_weakref': None
2022-11-23T01:30:19.9627079Z                 'guarded_class': None
2022-11-23T01:30:19.9627129Z             }
2022-11-23T01:30:19.9627189Z             
2022-11-23T01:30:19.9627257Z  - 
2022-11-23T01:30:19.9627400Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:30:19.9627464Z             {
2022-11-23T01:30:19.9627582Z                 'guard_types': None,
2022-11-23T01:30:19.9627674Z                 'code': None,
2022-11-23T01:30:19.9627791Z                 'obj_weakref': None
2022-11-23T01:30:19.9627912Z                 'guarded_class': None
2022-11-23T01:30:19.9627979Z             }
2022-11-23T01:30:19.9628040Z             
2022-11-23T01:30:19.9628112Z  - 
2022-11-23T01:30:19.9628256Z             local_nn_module 'model[3]' NN_MODULE
2022-11-23T01:30:19.9628309Z             {
2022-11-23T01:30:19.9628427Z                 'guard_types': None,
2022-11-23T01:30:19.9628533Z                 'code': None,
2022-11-23T01:30:19.9628651Z                 'obj_weakref': None
2022-11-23T01:30:19.9628772Z                 'guarded_class': None
2022-11-23T01:30:19.9628836Z             }
2022-11-23T01:30:19.9628898Z             
2022-11-23T01:30:19.9628954Z  - 
2022-11-23T01:30:19.9629097Z             local_nn_module 'model[4]' NN_MODULE
2022-11-23T01:30:19.9629160Z             {
2022-11-23T01:30:19.9629278Z                 'guard_types': None,
2022-11-23T01:30:19.9629384Z                 'code': None,
2022-11-23T01:30:19.9629500Z                 'obj_weakref': None
2022-11-23T01:30:19.9629608Z                 'guarded_class': None
2022-11-23T01:30:19.9629673Z             }
2022-11-23T01:30:19.9629736Z             
2022-11-23T01:30:19.9629805Z  - 
2022-11-23T01:30:19.9629949Z             local_nn_module 'model[5]' NN_MODULE
2022-11-23T01:30:19.9630014Z             {
2022-11-23T01:30:19.9630131Z                 'guard_types': None,
2022-11-23T01:30:19.9630223Z                 'code': None,
2022-11-23T01:30:19.9630339Z                 'obj_weakref': None
2022-11-23T01:30:19.9630458Z                 'guarded_class': None
2022-11-23T01:30:19.9630521Z             }
2022-11-23T01:30:19.9630584Z             
2022-11-23T01:30:19.9630652Z  - 
2022-11-23T01:30:19.9630796Z             local_nn_module 'model[6]' NN_MODULE
2022-11-23T01:30:19.9630845Z             {
2022-11-23T01:30:19.9630963Z                 'guard_types': None,
2022-11-23T01:30:19.9631066Z                 'code': None,
2022-11-23T01:30:19.9631183Z                 'obj_weakref': None
2022-11-23T01:30:19.9631300Z                 'guarded_class': None
2022-11-23T01:30:19.9631363Z             }
2022-11-23T01:30:19.9631415Z             
2022-11-23T01:30:19.9631483Z  - 
2022-11-23T01:30:19.9631627Z             local_nn_module 'model[7]' NN_MODULE
2022-11-23T01:30:19.9631689Z             {
2022-11-23T01:30:19.9631833Z                 'guard_types': None,
2022-11-23T01:30:19.9631938Z                 'code': None,
2022-11-23T01:30:19.9632056Z                 'obj_weakref': None
2022-11-23T01:30:19.9632163Z                 'guarded_class': None
2022-11-23T01:30:19.9632222Z             }
2022-11-23T01:30:19.9632285Z             
2022-11-23T01:30:19.9632546Z [2022-11-23 01:25:24,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 218
2022-11-23T01:30:19.9632916Z [2022-11-23 01:25:25,608] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6v/c6vvldms4kioabedn3aqr76hn2p5dpyvzvlvchrowktetvczx55c.py
2022-11-23T01:30:19.9633178Z [2022-11-23 01:25:25,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 218
2022-11-23T01:30:19.9633211Z 
2022-11-23T01:30:19.9633306Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9633371Z import torch
2022-11-23T01:30:19.9633427Z import random
2022-11-23T01:30:19.9633540Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9633659Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9633664Z 
2022-11-23T01:30:19.9633741Z aten = torch.ops.aten
2022-11-23T01:30:19.9633943Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9634036Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9634040Z 
2022-11-23T01:30:19.9634044Z 
2022-11-23T01:30:19.9634180Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:19.9634383Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9634488Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:30:19.9634551Z {
2022-11-23T01:30:19.9634649Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9634709Z     {
2022-11-23T01:30:19.9634786Z         #pragma omp for 
2022-11-23T01:30:19.9634867Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.9634927Z         {
2022-11-23T01:30:19.9635054Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9635177Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:30:19.9635269Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9635332Z         }
2022-11-23T01:30:19.9635424Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.9635504Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:19.9635563Z         {
2022-11-23T01:30:19.9635638Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.9635722Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:30:19.9635804Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.9635865Z         }
2022-11-23T01:30:19.9635924Z     }
2022-11-23T01:30:19.9635983Z }
2022-11-23T01:30:19.9636059Z ''')
2022-11-23T01:30:19.9636064Z 
2022-11-23T01:30:19.9636070Z 
2022-11-23T01:30:19.9636189Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:30:19.9636391Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9636505Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:30:19.9636563Z {
2022-11-23T01:30:19.9636660Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9636721Z     {
2022-11-23T01:30:19.9636795Z         #pragma omp for 
2022-11-23T01:30:19.9636863Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.9636922Z         {
2022-11-23T01:30:19.9637058Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9637182Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:30:19.9637277Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9637338Z         }
2022-11-23T01:30:19.9637430Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.9637499Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:19.9637560Z         {
2022-11-23T01:30:19.9637646Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.9637730Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:30:19.9637844Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.9637906Z         }
2022-11-23T01:30:19.9637968Z     }
2022-11-23T01:30:19.9638017Z }
2022-11-23T01:30:19.9638092Z ''')
2022-11-23T01:30:19.9638097Z 
2022-11-23T01:30:19.9638101Z 
2022-11-23T01:30:19.9638235Z kernel_cpp_2 = async_compile.cpp('''
2022-11-23T01:30:19.9638433Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9638545Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:30:19.9638604Z {
2022-11-23T01:30:19.9638697Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9638744Z     {
2022-11-23T01:30:19.9638819Z         #pragma omp for 
2022-11-23T01:30:19.9638897Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:19.9638984Z         {
2022-11-23T01:30:19.9639117Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9639244Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:30:19.9639338Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:19.9639398Z         }
2022-11-23T01:30:19.9639478Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:19.9639556Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:19.9639614Z         {
2022-11-23T01:30:19.9639700Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.9639781Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:30:19.9639860Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.9639909Z         }
2022-11-23T01:30:19.9639970Z     }
2022-11-23T01:30:19.9640027Z }
2022-11-23T01:30:19.9640102Z ''')
2022-11-23T01:30:19.9640107Z 
2022-11-23T01:30:19.9640112Z 
2022-11-23T01:30:19.9640240Z kernel_cpp_3 = async_compile.cpp('''
2022-11-23T01:30:19.9640444Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:19.9640559Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:19.9640655Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:30:19.9640703Z {
2022-11-23T01:30:19.9640796Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:19.9640854Z     {
2022-11-23T01:30:19.9640928Z         #pragma omp for 
2022-11-23T01:30:19.9641006Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:19.9641067Z         {
2022-11-23T01:30:19.9641117Z             {
2022-11-23T01:30:19.9641180Z                 {
2022-11-23T01:30:19.9641275Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:19.9641368Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:30:19.9641468Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:30:19.9641558Z                     auto tmp3 = tmp1 <= tmp2;
2022-11-23T01:30:19.9641644Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:30:19.9641717Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:19.9641781Z                 }
2022-11-23T01:30:19.9641843Z             }
2022-11-23T01:30:19.9641903Z         }
2022-11-23T01:30:19.9641964Z     }
2022-11-23T01:30:19.9642022Z }
2022-11-23T01:30:19.9642097Z ''')
2022-11-23T01:30:19.9642101Z 
2022-11-23T01:30:19.9642106Z 
2022-11-23T01:30:19.9642181Z async_compile.wait(globals())
2022-11-23T01:30:19.9642247Z del async_compile
2022-11-23T01:30:19.9642252Z 
2022-11-23T01:30:19.9642319Z def call(args):
2022-11-23T01:30:19.9642487Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args
2022-11-23T01:30:19.9642558Z     args.clear()
2022-11-23T01:30:19.9642750Z     buf0 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9642910Z     aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:30:19.9642978Z     del primals_1
2022-11-23T01:30:19.9643038Z     del primals_2
2022-11-23T01:30:19.9643119Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:19.9643220Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:30:19.9643449Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9643603Z     aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2)
2022-11-23T01:30:19.9643672Z     del primals_4
2022-11-23T01:30:19.9643752Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:30:19.9643841Z     kernel_cpp_1(c_void_p(buf3.data_ptr()))
2022-11-23T01:30:19.9644034Z     buf4 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9644184Z     aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4)
2022-11-23T01:30:19.9644253Z     del primals_6
2022-11-23T01:30:19.9644333Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:30:19.9644433Z     kernel_cpp_2(c_void_p(buf5.data_ptr()))
2022-11-23T01:30:19.9644649Z     buf6 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9644802Z     aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6)
2022-11-23T01:30:19.9644860Z     del primals_8
2022-11-23T01:30:19.9644940Z     buf7 = buf6; del buf6  # reuse
2022-11-23T01:30:19.9645125Z     buf8 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:19.9645255Z     kernel_cpp_3(c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:30:19.9645451Z     return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), )
2022-11-23T01:30:19.9645457Z 
2022-11-23T01:30:19.9645461Z 
2022-11-23T01:30:19.9645536Z if __name__ == "__main__":
2022-11-23T01:30:19.9645647Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9645768Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9645957Z     primals_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9646151Z     primals_2 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9646349Z     primals_3 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9646540Z     primals_4 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9646733Z     primals_5 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9646923Z     primals_6 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9647113Z     primals_7 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9647302Z     primals_8 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9647484Z     primals_9 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:19.9647681Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9]))
2022-11-23T01:30:19.9647688Z 
2022-11-23T01:30:19.9647753Z ok (1.666s)
2022-11-23T01:30:19.9648067Z   test_linear_binary_cpu (__main__.CpuTests) ... [2022-11-23 01:25:25,617] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9648381Z [2022-11-23 01:25:25,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9648593Z [2022-11-23 01:25:25,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9648835Z [2022-11-23 01:25:25,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9649099Z [2022-11-23 01:25:25,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9649405Z [2022-11-23 01:25:25,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9649767Z [2022-11-23 01:25:25,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9650068Z [2022-11-23 01:25:25,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9650445Z [2022-11-23 01:25:25,619] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9650537Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9650629Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9650715Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9650800Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9650915Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9650920Z 
2022-11-23T01:30:19.9651012Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9651096Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9651181Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9651266Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9651352Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9651436Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9651440Z 
2022-11-23T01:30:19.9651522Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9651596Z               24 RETURN_VALUE
2022-11-23T01:30:19.9651655Z  
2022-11-23T01:30:19.9651660Z 
2022-11-23T01:30:19.9651959Z [2022-11-23 01:25:25,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9652170Z [2022-11-23 01:25:25,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9652416Z [2022-11-23 01:25:25,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9652659Z [2022-11-23 01:25:25,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9652930Z [2022-11-23 01:25:25,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9653165Z [2022-11-23 01:25:25,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9653474Z [2022-11-23 01:25:25,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9653680Z [2022-11-23 01:25:25,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9653930Z [2022-11-23 01:25:25,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9654180Z [2022-11-23 01:25:25,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9654445Z [2022-11-23 01:25:25,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9654752Z [2022-11-23 01:25:25,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9655127Z [2022-11-23 01:25:25,633] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dd8f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 
2022-11-23T01:30:19.9655226Z  106           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9655316Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.9655404Z               4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9655489Z               6 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9655574Z               8 CALL_METHOD              2
2022-11-23T01:30:19.9655638Z              10 RETURN_VALUE
2022-11-23T01:30:19.9655695Z  
2022-11-23T01:30:19.9655726Z 
2022-11-23T01:30:19.9655943Z [2022-11-23 01:25:25,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9656305Z [2022-11-23 01:25:25,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9656736Z [2022-11-23 01:25:25,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9657079Z [2022-11-23 01:25:25,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9657455Z [2022-11-23 01:25:25,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9657751Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9658131Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dd8f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106>
2022-11-23T01:30:19.9658367Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9658665Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9658871Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9659115Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9659505Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9659750Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9659982Z [2022-11-23 01:25:25,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9660233Z [2022-11-23 01:25:25,637] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9660478Z [2022-11-23 01:25:25,654] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9660663Z [2022-11-23 01:25:25,654] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9660796Z  __compiled_fn_226 <eval_with_key>.1822 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9660875Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9660963Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9661082Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9661188Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9661195Z 
2022-11-23T01:30:19.9661520Z [2022-11-23 01:25:25,654] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9661611Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9661698Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9661781Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9661860Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9661941Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9662026Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9662098Z              12 RETURN_VALUE
2022-11-23T01:30:19.9662105Z 
2022-11-23T01:30:19.9662167Z  
2022-11-23T01:30:19.9662522Z [2022-11-23 01:25:25,654] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9662630Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_226)
2022-11-23T01:30:19.9662707Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9662794Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9662868Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9662954Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9663040Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9663116Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9663203Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9663279Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9663353Z              18 RETURN_VALUE
2022-11-23T01:30:19.9663358Z 
2022-11-23T01:30:19.9663444Z  
2022-11-23T01:30:19.9663626Z [2022-11-23 01:25:25,655] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9663694Z  - 
2022-11-23T01:30:19.9663809Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9663872Z             {
2022-11-23T01:30:19.9664000Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9664185Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9664302Z                 'obj_weakref': None
2022-11-23T01:30:19.9664524Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9664589Z             }
2022-11-23T01:30:19.9664654Z             
2022-11-23T01:30:19.9664724Z  - 
2022-11-23T01:30:19.9664834Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9664898Z             {
2022-11-23T01:30:19.9665040Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9665146Z                 'code': None,
2022-11-23T01:30:19.9665361Z                 'obj_weakref': <weakref at 0x7ff59c204fe0; to 'Tensor' at 0x7ff5a805a0c0>
2022-11-23T01:30:19.9665615Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9665678Z             }
2022-11-23T01:30:19.9665741Z             
2022-11-23T01:30:19.9665798Z  - 
2022-11-23T01:30:19.9665920Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9665983Z             {
2022-11-23T01:30:19.9666126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9666233Z                 'code': None,
2022-11-23T01:30:19.9666444Z                 'obj_weakref': <weakref at 0x7ff58fe053f0; to 'Tensor' at 0x7ff5a84804f0>
2022-11-23T01:30:19.9666692Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9666743Z             }
2022-11-23T01:30:19.9666804Z             
2022-11-23T01:30:19.9666873Z  - 
2022-11-23T01:30:19.9666993Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9667058Z             {
2022-11-23T01:30:19.9667192Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9667348Z                 'code': ['___check_obj_id(model, 140693067419600)'],
2022-11-23T01:30:19.9667549Z                 'obj_weakref': <weakref at 0x7ff5a816e610; to 'M' at 0x7ff5a84e4fd0>
2022-11-23T01:30:19.9667764Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9667828Z             }
2022-11-23T01:30:19.9667891Z             
2022-11-23T01:30:19.9667960Z  - 
2022-11-23T01:30:19.9668080Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9668130Z             {
2022-11-23T01:30:19.9668266Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9668483Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9668612Z                 'obj_weakref': None
2022-11-23T01:30:19.9668928Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9668998Z             }
2022-11-23T01:30:19.9669061Z             
2022-11-23T01:30:19.9669130Z  - 
2022-11-23T01:30:19.9669287Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9669352Z             {
2022-11-23T01:30:19.9669472Z                 'guard_types': None,
2022-11-23T01:30:19.9669578Z                 'code': None,
2022-11-23T01:30:19.9669695Z                 'obj_weakref': None
2022-11-23T01:30:19.9669816Z                 'guarded_class': None
2022-11-23T01:30:19.9669865Z             }
2022-11-23T01:30:19.9669929Z             
2022-11-23T01:30:19.9669997Z  - 
2022-11-23T01:30:19.9670151Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9670214Z             {
2022-11-23T01:30:19.9670332Z                 'guard_types': None,
2022-11-23T01:30:19.9670436Z                 'code': None,
2022-11-23T01:30:19.9670540Z                 'obj_weakref': None
2022-11-23T01:30:19.9670686Z                 'guarded_class': None
2022-11-23T01:30:19.9670749Z             }
2022-11-23T01:30:19.9670810Z             
2022-11-23T01:30:19.9670878Z  - 
2022-11-23T01:30:19.9671050Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9671114Z             {
2022-11-23T01:30:19.9671218Z                 'guard_types': None,
2022-11-23T01:30:19.9671323Z                 'code': None,
2022-11-23T01:30:19.9671444Z                 'obj_weakref': None
2022-11-23T01:30:19.9671564Z                 'guarded_class': None
2022-11-23T01:30:19.9671628Z             }
2022-11-23T01:30:19.9671689Z             
2022-11-23T01:30:19.9671949Z [2022-11-23 01:25:25,673] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 219
2022-11-23T01:30:19.9672301Z [2022-11-23 01:25:25,676] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py
2022-11-23T01:30:19.9672564Z [2022-11-23 01:25:25,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 219
2022-11-23T01:30:19.9672800Z [2022-11-23 01:25:25,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9673112Z [2022-11-23 01:25:25,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9673325Z [2022-11-23 01:25:25,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9673566Z [2022-11-23 01:25:25,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9673907Z [2022-11-23 01:25:25,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9674220Z [2022-11-23 01:25:25,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9674554Z [2022-11-23 01:25:25,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9674867Z [2022-11-23 01:25:25,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9675240Z [2022-11-23 01:25:25,681] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9675333Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9675428Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9675518Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9675606Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9675693Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9675699Z 
2022-11-23T01:30:19.9675788Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9675886Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9675961Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9676076Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9680657Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9680781Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9680786Z 
2022-11-23T01:30:19.9680864Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9680940Z               24 RETURN_VALUE
2022-11-23T01:30:19.9681003Z  
2022-11-23T01:30:19.9681007Z 
2022-11-23T01:30:19.9681360Z [2022-11-23 01:25:25,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9681581Z [2022-11-23 01:25:25,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9681836Z [2022-11-23 01:25:25,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9682150Z [2022-11-23 01:25:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9682430Z [2022-11-23 01:25:25,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9682667Z [2022-11-23 01:25:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9682972Z [2022-11-23 01:25:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9683183Z [2022-11-23 01:25:25,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9683433Z [2022-11-23 01:25:25,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9683683Z [2022-11-23 01:25:25,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9683965Z [2022-11-23 01:25:25,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9684278Z [2022-11-23 01:25:25,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9684663Z [2022-11-23 01:25:25,685] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dd8f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 
2022-11-23T01:30:19.9684762Z  106           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9684856Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.9684933Z               4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9685024Z               6 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9685113Z               8 CALL_METHOD              2
2022-11-23T01:30:19.9685187Z              10 RETURN_VALUE
2022-11-23T01:30:19.9685251Z  
2022-11-23T01:30:19.9685257Z 
2022-11-23T01:30:19.9685475Z [2022-11-23 01:25:25,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9685841Z [2022-11-23 01:25:25,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9686166Z [2022-11-23 01:25:25,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9686510Z [2022-11-23 01:25:25,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9686875Z [2022-11-23 01:25:25,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9687124Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9687542Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dd8f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106>
2022-11-23T01:30:19.9687782Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9688092Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9688301Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9688547Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9688928Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9689204Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9689436Z [2022-11-23 01:25:25,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9689676Z [2022-11-23 01:25:25,688] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9689920Z [2022-11-23 01:25:25,697] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9690107Z [2022-11-23 01:25:25,697] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9690238Z  __compiled_fn_227 <eval_with_key>.1833 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9690329Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9690416Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9690539Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9690646Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9690652Z 
2022-11-23T01:30:19.9690978Z [2022-11-23 01:25:25,697] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9691060Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9691150Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9691237Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9691327Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9691411Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9691498Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9691575Z              12 RETURN_VALUE
2022-11-23T01:30:19.9691580Z 
2022-11-23T01:30:19.9691629Z  
2022-11-23T01:30:19.9691951Z [2022-11-23 01:25:25,697] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9692065Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_227)
2022-11-23T01:30:19.9692156Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9692245Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9692320Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9692406Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9692492Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9692555Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9692638Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9692724Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9692798Z              18 RETURN_VALUE
2022-11-23T01:30:19.9692803Z 
2022-11-23T01:30:19.9692862Z  
2022-11-23T01:30:19.9693043Z [2022-11-23 01:25:25,698] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9693114Z  - 
2022-11-23T01:30:19.9693218Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9693282Z             {
2022-11-23T01:30:19.9693420Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9693650Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9693770Z                 'obj_weakref': None
2022-11-23T01:30:19.9693995Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9694059Z             }
2022-11-23T01:30:19.9694111Z             
2022-11-23T01:30:19.9694180Z  - 
2022-11-23T01:30:19.9694303Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9694366Z             {
2022-11-23T01:30:19.9694508Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9694615Z                 'code': None,
2022-11-23T01:30:19.9694829Z                 'obj_weakref': <weakref at 0x7ff59c1ee110; to 'Tensor' at 0x7ff59c125e90>
2022-11-23T01:30:19.9695068Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9695158Z             }
2022-11-23T01:30:19.9695225Z             
2022-11-23T01:30:19.9695295Z  - 
2022-11-23T01:30:19.9695417Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9695477Z             {
2022-11-23T01:30:19.9695618Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9695712Z                 'code': None,
2022-11-23T01:30:19.9695922Z                 'obj_weakref': <weakref at 0x7ff59c1efdd0; to 'Tensor' at 0x7ff58fda47c0>
2022-11-23T01:30:19.9696175Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9696238Z             }
2022-11-23T01:30:19.9696302Z             
2022-11-23T01:30:19.9696369Z  - 
2022-11-23T01:30:19.9696692Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9696743Z             {
2022-11-23T01:30:19.9696875Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9697047Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:19.9697253Z                 'obj_weakref': <weakref at 0x7ff59c14c400; to 'M' at 0x7ff58f929ed0>
2022-11-23T01:30:19.9697468Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9697530Z             }
2022-11-23T01:30:19.9697592Z             
2022-11-23T01:30:19.9697651Z  - 
2022-11-23T01:30:19.9697773Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9697837Z             {
2022-11-23T01:30:19.9697975Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9698192Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9698311Z                 'obj_weakref': None
2022-11-23T01:30:19.9698528Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9698580Z             }
2022-11-23T01:30:19.9698644Z             
2022-11-23T01:30:19.9698710Z  - 
2022-11-23T01:30:19.9698840Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9698903Z             {
2022-11-23T01:30:19.9699030Z                 'guard_types': None,
2022-11-23T01:30:19.9699135Z                 'code': None,
2022-11-23T01:30:19.9699239Z                 'obj_weakref': None
2022-11-23T01:30:19.9699362Z                 'guarded_class': None
2022-11-23T01:30:19.9699423Z             }
2022-11-23T01:30:19.9699487Z             
2022-11-23T01:30:19.9699553Z  - 
2022-11-23T01:30:19.9699705Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9699756Z             {
2022-11-23T01:30:19.9699874Z                 'guard_types': None,
2022-11-23T01:30:19.9699975Z                 'code': None,
2022-11-23T01:30:19.9700091Z                 'obj_weakref': None
2022-11-23T01:30:19.9700213Z                 'guarded_class': None
2022-11-23T01:30:19.9700276Z             }
2022-11-23T01:30:19.9700337Z             
2022-11-23T01:30:19.9700396Z  - 
2022-11-23T01:30:19.9700558Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9700619Z             {
2022-11-23T01:30:19.9700786Z                 'guard_types': None,
2022-11-23T01:30:19.9700894Z                 'code': None,
2022-11-23T01:30:19.9701007Z                 'obj_weakref': None
2022-11-23T01:30:19.9701125Z                 'guarded_class': None
2022-11-23T01:30:19.9701175Z             }
2022-11-23T01:30:19.9701237Z             
2022-11-23T01:30:19.9701500Z [2022-11-23 01:25:25,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 220
2022-11-23T01:30:19.9701867Z [2022-11-23 01:25:25,713] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py
2022-11-23T01:30:19.9702130Z [2022-11-23 01:25:25,713] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 220
2022-11-23T01:30:19.9702364Z [2022-11-23 01:25:25,717] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9702713Z [2022-11-23 01:25:25,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9702928Z [2022-11-23 01:25:25,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9703169Z [2022-11-23 01:25:25,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9703423Z [2022-11-23 01:25:25,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9703731Z [2022-11-23 01:25:25,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9704070Z [2022-11-23 01:25:25,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9704384Z [2022-11-23 01:25:25,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9704765Z [2022-11-23 01:25:25,718] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9704857Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9704951Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9705040Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9705130Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9705209Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9705215Z 
2022-11-23T01:30:19.9705307Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9705401Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9705491Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9705578Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9705663Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9705751Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9705757Z 
2022-11-23T01:30:19.9705839Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9705902Z               24 RETURN_VALUE
2022-11-23T01:30:19.9705962Z  
2022-11-23T01:30:19.9705966Z 
2022-11-23T01:30:19.9706283Z [2022-11-23 01:25:25,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9706498Z [2022-11-23 01:25:25,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9706746Z [2022-11-23 01:25:25,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9706984Z [2022-11-23 01:25:25,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9707264Z [2022-11-23 01:25:25,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9707554Z [2022-11-23 01:25:25,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9707856Z [2022-11-23 01:25:25,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9708068Z [2022-11-23 01:25:25,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9708318Z [2022-11-23 01:25:25,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9708565Z [2022-11-23 01:25:25,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9708843Z [2022-11-23 01:25:25,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9709183Z [2022-11-23 01:25:25,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9709564Z [2022-11-23 01:25:25,726] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dd8f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 
2022-11-23T01:30:19.9709659Z  106           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9709753Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.9709846Z               4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9709923Z               6 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9710009Z               8 CALL_METHOD              2
2022-11-23T01:30:19.9710084Z              10 RETURN_VALUE
2022-11-23T01:30:19.9710146Z  
2022-11-23T01:30:19.9710151Z 
2022-11-23T01:30:19.9710369Z [2022-11-23 01:25:25,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9710741Z [2022-11-23 01:25:25,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9711061Z [2022-11-23 01:25:25,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9711407Z [2022-11-23 01:25:25,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9711789Z [2022-11-23 01:25:25,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9712021Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9712410Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dd8f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106>
2022-11-23T01:30:19.9712652Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9712968Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9713177Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9713422Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9713886Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9714143Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9714412Z [2022-11-23 01:25:25,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9714670Z [2022-11-23 01:25:25,729] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9714903Z [2022-11-23 01:25:25,742] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9715091Z [2022-11-23 01:25:25,742] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9715225Z  __compiled_fn_228 <eval_with_key>.1844 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9715313Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9715397Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9715519Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9715627Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9715674Z 
2022-11-23T01:30:19.9716001Z [2022-11-23 01:25:25,743] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9716083Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9716173Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9716259Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9716350Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9716438Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9716527Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9716604Z              12 RETURN_VALUE
2022-11-23T01:30:19.9716609Z 
2022-11-23T01:30:19.9716670Z  
2022-11-23T01:30:19.9716980Z [2022-11-23 01:25:25,743] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9717089Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_228)
2022-11-23T01:30:19.9717179Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9717271Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9717350Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9717438Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9717526Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9717588Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9717676Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9717764Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9717839Z              18 RETURN_VALUE
2022-11-23T01:30:19.9717844Z 
2022-11-23T01:30:19.9717906Z  
2022-11-23T01:30:19.9718089Z [2022-11-23 01:25:25,744] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9718157Z  - 
2022-11-23T01:30:19.9718263Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9718327Z             {
2022-11-23T01:30:19.9718470Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9718658Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9718781Z                 'obj_weakref': None
2022-11-23T01:30:19.9719009Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9719073Z             }
2022-11-23T01:30:19.9719125Z             
2022-11-23T01:30:19.9719193Z  - 
2022-11-23T01:30:19.9719314Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9719375Z             {
2022-11-23T01:30:19.9719517Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9719628Z                 'code': None,
2022-11-23T01:30:19.9719843Z                 'obj_weakref': <weakref at 0x7ff5a885b880; to 'Tensor' at 0x7ff58fc44a90>
2022-11-23T01:30:19.9720084Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9720148Z             }
2022-11-23T01:30:19.9720211Z             
2022-11-23T01:30:19.9720279Z  - 
2022-11-23T01:30:19.9720403Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9720466Z             {
2022-11-23T01:30:19.9720640Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9720735Z                 'code': None,
2022-11-23T01:30:19.9720947Z                 'obj_weakref': <weakref at 0x7ff5a816ee30; to 'Tensor' at 0x7ff58fd50450>
2022-11-23T01:30:19.9721196Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9721257Z             }
2022-11-23T01:30:19.9721320Z             
2022-11-23T01:30:19.9721389Z  - 
2022-11-23T01:30:19.9721510Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9721560Z             {
2022-11-23T01:30:19.9721693Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9721861Z                 'code': ['___check_obj_id(model, 140693067422816)'],
2022-11-23T01:30:19.9722062Z                 'obj_weakref': <weakref at 0x7ff5a81e0a40; to 'M' at 0x7ff5a84e5c60>
2022-11-23T01:30:19.9722307Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9722373Z             }
2022-11-23T01:30:19.9722435Z             
2022-11-23T01:30:19.9722491Z  - 
2022-11-23T01:30:19.9722612Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9722675Z             {
2022-11-23T01:30:19.9722811Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9723028Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9723145Z                 'obj_weakref': None
2022-11-23T01:30:19.9723364Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9723415Z             }
2022-11-23T01:30:19.9723478Z             
2022-11-23T01:30:19.9723547Z  - 
2022-11-23T01:30:19.9723681Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9723748Z             {
2022-11-23T01:30:19.9723867Z                 'guard_types': None,
2022-11-23T01:30:19.9723973Z                 'code': None,
2022-11-23T01:30:19.9724080Z                 'obj_weakref': None
2022-11-23T01:30:19.9724202Z                 'guarded_class': None
2022-11-23T01:30:19.9724263Z             }
2022-11-23T01:30:19.9724326Z             
2022-11-23T01:30:19.9724395Z  - 
2022-11-23T01:30:19.9724553Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9724616Z             {
2022-11-23T01:30:19.9724723Z                 'guard_types': None,
2022-11-23T01:30:19.9724826Z                 'code': None,
2022-11-23T01:30:19.9724943Z                 'obj_weakref': None
2022-11-23T01:30:19.9725063Z                 'guarded_class': None
2022-11-23T01:30:19.9725127Z             }
2022-11-23T01:30:19.9725190Z             
2022-11-23T01:30:19.9725247Z  - 
2022-11-23T01:30:19.9725414Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9725479Z             {
2022-11-23T01:30:19.9725597Z                 'guard_types': None,
2022-11-23T01:30:19.9725701Z                 'code': None,
2022-11-23T01:30:19.9725817Z                 'obj_weakref': None
2022-11-23T01:30:19.9725940Z                 'guarded_class': None
2022-11-23T01:30:19.9725990Z             }
2022-11-23T01:30:19.9726055Z             
2022-11-23T01:30:19.9726317Z [2022-11-23 01:25:25,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 221
2022-11-23T01:30:19.9726679Z [2022-11-23 01:25:25,760] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py
2022-11-23T01:30:19.9726943Z [2022-11-23 01:25:25,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 221
2022-11-23T01:30:19.9727179Z [2022-11-23 01:25:25,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9727491Z [2022-11-23 01:25:25,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9727739Z [2022-11-23 01:25:25,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9727985Z [2022-11-23 01:25:25,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9728241Z [2022-11-23 01:25:25,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9728552Z [2022-11-23 01:25:25,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9728886Z [2022-11-23 01:25:25,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9729198Z [2022-11-23 01:25:25,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9729605Z [2022-11-23 01:25:25,765] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9729703Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9729799Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9729887Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9729976Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9730055Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9730073Z 
2022-11-23T01:30:19.9730150Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9730248Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9730336Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9730428Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9730518Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9730604Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9730609Z 
2022-11-23T01:30:19.9730695Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9730759Z               24 RETURN_VALUE
2022-11-23T01:30:19.9730822Z  
2022-11-23T01:30:19.9730826Z 
2022-11-23T01:30:19.9731145Z [2022-11-23 01:25:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9731357Z [2022-11-23 01:25:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9731606Z [2022-11-23 01:25:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9731846Z [2022-11-23 01:25:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9732117Z [2022-11-23 01:25:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9732355Z [2022-11-23 01:25:25,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9732670Z [2022-11-23 01:25:25,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9732867Z [2022-11-23 01:25:25,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9733118Z [2022-11-23 01:25:25,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9733366Z [2022-11-23 01:25:25,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9733640Z [2022-11-23 01:25:25,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9733952Z [2022-11-23 01:25:25,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9734361Z [2022-11-23 01:25:25,768] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dd8f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106> 
2022-11-23T01:30:19.9734458Z  106           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9734553Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.9734645Z               4 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9734720Z               6 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9734807Z               8 CALL_METHOD              2
2022-11-23T01:30:19.9734884Z              10 RETURN_VALUE
2022-11-23T01:30:19.9734946Z  
2022-11-23T01:30:19.9734952Z 
2022-11-23T01:30:19.9735169Z [2022-11-23 01:25:25,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9735532Z [2022-11-23 01:25:25,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9735880Z [2022-11-23 01:25:25,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9736221Z [2022-11-23 01:25:25,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9736713Z [2022-11-23 01:25:25,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9736945Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9737378Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dd8f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 106>
2022-11-23T01:30:19.9737624Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9737967Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9738176Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9738421Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9738805Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9739048Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9739286Z [2022-11-23 01:25:25,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9739543Z [2022-11-23 01:25:25,771] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9739777Z [2022-11-23 01:25:25,779] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9739966Z [2022-11-23 01:25:25,779] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9740100Z  __compiled_fn_229 <eval_with_key>.1855 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9740190Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9740278Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9740402Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9740510Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9740515Z 
2022-11-23T01:30:19.9740840Z [2022-11-23 01:25:25,780] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9740936Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9741082Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9741171Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9741262Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9741346Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9741434Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9741508Z              12 RETURN_VALUE
2022-11-23T01:30:19.9741513Z 
2022-11-23T01:30:19.9741573Z  
2022-11-23T01:30:19.9741883Z [2022-11-23 01:25:25,780] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9741989Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_229)
2022-11-23T01:30:19.9742080Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9742205Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9742285Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9742373Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9742463Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9742526Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9742614Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9742704Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9742779Z              18 RETURN_VALUE
2022-11-23T01:30:19.9742784Z 
2022-11-23T01:30:19.9742846Z  
2022-11-23T01:30:19.9743029Z [2022-11-23 01:25:25,780] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9743099Z  - 
2022-11-23T01:30:19.9743216Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9743268Z             {
2022-11-23T01:30:19.9743406Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9743593Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9743716Z                 'obj_weakref': None
2022-11-23T01:30:19.9743938Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9744001Z             }
2022-11-23T01:30:19.9744063Z             
2022-11-23T01:30:19.9744118Z  - 
2022-11-23T01:30:19.9744239Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9744299Z             {
2022-11-23T01:30:19.9744439Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9744546Z                 'code': None,
2022-11-23T01:30:19.9744763Z                 'obj_weakref': <weakref at 0x7ff5a8659cb0; to 'Tensor' at 0x7ff59c1ef880>
2022-11-23T01:30:19.9745015Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9745068Z             }
2022-11-23T01:30:19.9745131Z             
2022-11-23T01:30:19.9745199Z  - 
2022-11-23T01:30:19.9745321Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9745386Z             {
2022-11-23T01:30:19.9745528Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9745621Z                 'code': None,
2022-11-23T01:30:19.9745832Z                 'obj_weakref': <weakref at 0x7ff5a86597b0; to 'Tensor' at 0x7ff5a805a0c0>
2022-11-23T01:30:19.9746085Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9746151Z             }
2022-11-23T01:30:19.9746215Z             
2022-11-23T01:30:19.9746282Z  - 
2022-11-23T01:30:19.9746401Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9746465Z             {
2022-11-23T01:30:19.9746587Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9746756Z                 'code': ['___check_obj_id(model, 140693063387840)'],
2022-11-23T01:30:19.9746957Z                 'obj_weakref': <weakref at 0x7ff59c1ef510; to 'M' at 0x7ff5a810cac0>
2022-11-23T01:30:19.9747172Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9747239Z             }
2022-11-23T01:30:19.9747304Z             
2022-11-23T01:30:19.9747373Z  - 
2022-11-23T01:30:19.9747511Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9747575Z             {
2022-11-23T01:30:19.9747713Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9747929Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9748045Z                 'obj_weakref': None
2022-11-23T01:30:19.9748260Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9748324Z             }
2022-11-23T01:30:19.9748375Z             
2022-11-23T01:30:19.9748444Z  - 
2022-11-23T01:30:19.9748577Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9748641Z             {
2022-11-23T01:30:19.9748760Z                 'guard_types': None,
2022-11-23T01:30:19.9748865Z                 'code': None,
2022-11-23T01:30:19.9749007Z                 'obj_weakref': None
2022-11-23T01:30:19.9749115Z                 'guarded_class': None
2022-11-23T01:30:19.9749178Z             }
2022-11-23T01:30:19.9749244Z             
2022-11-23T01:30:19.9749314Z  - 
2022-11-23T01:30:19.9749469Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9749532Z             {
2022-11-23T01:30:19.9749638Z                 'guard_types': None,
2022-11-23T01:30:19.9749742Z                 'code': None,
2022-11-23T01:30:19.9749859Z                 'obj_weakref': None
2022-11-23T01:30:19.9749978Z                 'guarded_class': None
2022-11-23T01:30:19.9750042Z             }
2022-11-23T01:30:19.9750105Z             
2022-11-23T01:30:19.9750173Z  - 
2022-11-23T01:30:19.9750327Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9750389Z             {
2022-11-23T01:30:19.9750508Z                 'guard_types': None,
2022-11-23T01:30:19.9750614Z                 'code': None,
2022-11-23T01:30:19.9750733Z                 'obj_weakref': None
2022-11-23T01:30:19.9750853Z                 'guarded_class': None
2022-11-23T01:30:19.9750916Z             }
2022-11-23T01:30:19.9750968Z             
2022-11-23T01:30:19.9751228Z [2022-11-23 01:25:25,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 222
2022-11-23T01:30:19.9751595Z [2022-11-23 01:25:25,795] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py
2022-11-23T01:30:19.9751860Z [2022-11-23 01:25:25,796] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 222
2022-11-23T01:30:19.9752094Z [2022-11-23 01:25:25,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9752407Z [2022-11-23 01:25:25,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9752625Z [2022-11-23 01:25:25,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9752868Z [2022-11-23 01:25:25,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9753136Z [2022-11-23 01:25:25,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9753435Z [2022-11-23 01:25:25,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9753770Z [2022-11-23 01:25:25,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9754169Z [2022-11-23 01:25:25,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9754549Z [2022-11-23 01:25:25,800] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9754681Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9754777Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9754867Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9754956Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9755049Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9755055Z 
2022-11-23T01:30:19.9755135Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9755229Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9755318Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9755407Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9755495Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9755582Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9755614Z 
2022-11-23T01:30:19.9755701Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9755765Z               24 RETURN_VALUE
2022-11-23T01:30:19.9755829Z  
2022-11-23T01:30:19.9755836Z 
2022-11-23T01:30:19.9756155Z [2022-11-23 01:25:25,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9756369Z [2022-11-23 01:25:25,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9756615Z [2022-11-23 01:25:25,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9756860Z [2022-11-23 01:25:25,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9757133Z [2022-11-23 01:25:25,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9757370Z [2022-11-23 01:25:25,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9757682Z [2022-11-23 01:25:25,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9757891Z [2022-11-23 01:25:25,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9758128Z [2022-11-23 01:25:25,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9758375Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9758649Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9758962Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9759342Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dd9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 
2022-11-23T01:30:19.9759444Z  107           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9759538Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.9759630Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9759707Z               6 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9759792Z               8 CALL_METHOD              2
2022-11-23T01:30:19.9759869Z              10 RETURN_VALUE
2022-11-23T01:30:19.9759931Z  
2022-11-23T01:30:19.9759936Z 
2022-11-23T01:30:19.9760153Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9760518Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9760837Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9761209Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9761589Z [2022-11-23 01:25:25,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9761833Z [2022-11-23 01:25:25,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9762207Z [2022-11-23 01:25:25,811] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dd9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107>
2022-11-23T01:30:19.9762446Z [2022-11-23 01:25:25,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9762786Z [2022-11-23 01:25:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9762997Z [2022-11-23 01:25:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9763239Z [2022-11-23 01:25:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9763619Z [2022-11-23 01:25:25,812] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9763865Z [2022-11-23 01:25:25,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9764099Z [2022-11-23 01:25:25,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9764351Z [2022-11-23 01:25:25,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9764599Z [2022-11-23 01:25:25,825] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9764775Z [2022-11-23 01:25:25,826] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9764908Z  __compiled_fn_230 <eval_with_key>.1866 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9764998Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9765084Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9765204Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9765310Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9765316Z 
2022-11-23T01:30:19.9765639Z [2022-11-23 01:25:25,826] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9765732Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9765812Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9765898Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9765997Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9766083Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9766171Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9766246Z              12 RETURN_VALUE
2022-11-23T01:30:19.9766251Z 
2022-11-23T01:30:19.9766310Z  
2022-11-23T01:30:19.9766618Z [2022-11-23 01:25:25,826] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9766726Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_230)
2022-11-23T01:30:19.9766817Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9766906Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9766986Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9767076Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9767162Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9767265Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9767342Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9767433Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9767509Z              18 RETURN_VALUE
2022-11-23T01:30:19.9767515Z 
2022-11-23T01:30:19.9767575Z  
2022-11-23T01:30:19.9767756Z [2022-11-23 01:25:25,827] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9767829Z  - 
2022-11-23T01:30:19.9767947Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9767999Z             {
2022-11-23T01:30:19.9768140Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9768325Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9768446Z                 'obj_weakref': None
2022-11-23T01:30:19.9768672Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9768766Z             }
2022-11-23T01:30:19.9768831Z             
2022-11-23T01:30:19.9768888Z  - 
2022-11-23T01:30:19.9769015Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9769081Z             {
2022-11-23T01:30:19.9769223Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9769333Z                 'code': None,
2022-11-23T01:30:19.9769546Z                 'obj_weakref': <weakref at 0x7ff5a80a3290; to 'Tensor' at 0x7ff5a8858720>
2022-11-23T01:30:19.9769800Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9769853Z             }
2022-11-23T01:30:19.9769917Z             
2022-11-23T01:30:19.9769987Z  - 
2022-11-23T01:30:19.9770111Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9770176Z             {
2022-11-23T01:30:19.9770316Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9770425Z                 'code': None,
2022-11-23T01:30:19.9770620Z                 'obj_weakref': <weakref at 0x7ff5a80a3790; to 'Tensor' at 0x7ff58fda47c0>
2022-11-23T01:30:19.9770870Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9770935Z             }
2022-11-23T01:30:19.9770998Z             
2022-11-23T01:30:19.9771067Z  - 
2022-11-23T01:30:19.9771187Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9771248Z             {
2022-11-23T01:30:19.9771369Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9771537Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:19.9771738Z                 'obj_weakref': <weakref at 0x7ff5a81e2ac0; to 'M' at 0x7ff5a97fd9c0>
2022-11-23T01:30:19.9771954Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9772018Z             }
2022-11-23T01:30:19.9772081Z             
2022-11-23T01:30:19.9772152Z  - 
2022-11-23T01:30:19.9772262Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9772325Z             {
2022-11-23T01:30:19.9772462Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9772682Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9772801Z                 'obj_weakref': None
2022-11-23T01:30:19.9773022Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9773085Z             }
2022-11-23T01:30:19.9773136Z             
2022-11-23T01:30:19.9773204Z  - 
2022-11-23T01:30:19.9773335Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9773397Z             {
2022-11-23T01:30:19.9773516Z                 'guard_types': None,
2022-11-23T01:30:19.9773623Z                 'code': None,
2022-11-23T01:30:19.9773743Z                 'obj_weakref': None
2022-11-23T01:30:19.9773851Z                 'guarded_class': None
2022-11-23T01:30:19.9773914Z             }
2022-11-23T01:30:19.9773978Z             
2022-11-23T01:30:19.9774045Z  - 
2022-11-23T01:30:19.9774199Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9774300Z             {
2022-11-23T01:30:19.9774424Z                 'guard_types': None,
2022-11-23T01:30:19.9774517Z                 'code': None,
2022-11-23T01:30:19.9774633Z                 'obj_weakref': None
2022-11-23T01:30:19.9774754Z                 'guarded_class': None
2022-11-23T01:30:19.9774817Z             }
2022-11-23T01:30:19.9774879Z             
2022-11-23T01:30:19.9774947Z  - 
2022-11-23T01:30:19.9775104Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9775169Z             {
2022-11-23T01:30:19.9775288Z                 'guard_types': None,
2022-11-23T01:30:19.9775394Z                 'code': None,
2022-11-23T01:30:19.9775512Z                 'obj_weakref': None
2022-11-23T01:30:19.9775631Z                 'guarded_class': None
2022-11-23T01:30:19.9775722Z             }
2022-11-23T01:30:19.9775772Z             
2022-11-23T01:30:19.9776035Z [2022-11-23 01:25:25,838] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 223
2022-11-23T01:30:19.9776402Z [2022-11-23 01:25:25,840] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py
2022-11-23T01:30:19.9776787Z [2022-11-23 01:25:25,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 223
2022-11-23T01:30:19.9777026Z [2022-11-23 01:25:25,843] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9777338Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9777555Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9777794Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9778065Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9778362Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9778703Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9779017Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9779397Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9779494Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9779591Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9779684Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9779772Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9779861Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9779866Z 
2022-11-23T01:30:19.9779944Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9780040Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9780129Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9780217Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9780304Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9780392Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9780396Z 
2022-11-23T01:30:19.9780481Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9780556Z               24 RETURN_VALUE
2022-11-23T01:30:19.9780607Z  
2022-11-23T01:30:19.9780611Z 
2022-11-23T01:30:19.9780968Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9781182Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9781429Z [2022-11-23 01:25:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9781668Z [2022-11-23 01:25:25,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9781945Z [2022-11-23 01:25:25,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9782181Z [2022-11-23 01:25:25,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9782496Z [2022-11-23 01:25:25,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9782740Z [2022-11-23 01:25:25,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9782977Z [2022-11-23 01:25:25,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9783229Z [2022-11-23 01:25:25,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9783504Z [2022-11-23 01:25:25,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9783819Z [2022-11-23 01:25:25,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9784200Z [2022-11-23 01:25:25,848] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dd9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 
2022-11-23T01:30:19.9784299Z  107           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9784391Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.9784484Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9784573Z               6 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9784649Z               8 CALL_METHOD              2
2022-11-23T01:30:19.9784724Z              10 RETURN_VALUE
2022-11-23T01:30:19.9784783Z  
2022-11-23T01:30:19.9784788Z 
2022-11-23T01:30:19.9785005Z [2022-11-23 01:25:25,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9785369Z [2022-11-23 01:25:25,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9785686Z [2022-11-23 01:25:25,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9786030Z [2022-11-23 01:25:25,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9786406Z [2022-11-23 01:25:25,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9786651Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9787035Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dd9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107>
2022-11-23T01:30:19.9787261Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9787570Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9787818Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9788063Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9788448Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9788691Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9788923Z [2022-11-23 01:25:25,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9789173Z [2022-11-23 01:25:25,851] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9789449Z [2022-11-23 01:25:25,860] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9789624Z [2022-11-23 01:25:25,860] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9789758Z  __compiled_fn_231 <eval_with_key>.1877 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9789846Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9789932Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9790052Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9790159Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9790165Z 
2022-11-23T01:30:19.9790489Z [2022-11-23 01:25:25,861] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9790582Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9790660Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9790749Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9790840Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9790924Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9791011Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9791086Z              12 RETURN_VALUE
2022-11-23T01:30:19.9791092Z 
2022-11-23T01:30:19.9791152Z  
2022-11-23T01:30:19.9791475Z [2022-11-23 01:25:25,861] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9791570Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_231)
2022-11-23T01:30:19.9791661Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9791747Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9791825Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9791911Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9791998Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9792077Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9792153Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9792246Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9792322Z              18 RETURN_VALUE
2022-11-23T01:30:19.9792327Z 
2022-11-23T01:30:19.9792386Z  
2022-11-23T01:30:19.9792565Z [2022-11-23 01:25:25,862] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9792633Z  - 
2022-11-23T01:30:19.9792753Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9792804Z             {
2022-11-23T01:30:19.9792945Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9793130Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9793249Z                 'obj_weakref': None
2022-11-23T01:30:19.9793472Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9793538Z             }
2022-11-23T01:30:19.9793604Z             
2022-11-23T01:30:19.9793661Z  - 
2022-11-23T01:30:19.9793784Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9793929Z             {
2022-11-23T01:30:19.9794111Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9794219Z                 'code': None,
2022-11-23T01:30:19.9794433Z                 'obj_weakref': <weakref at 0x7ff5a8390bd0; to 'Tensor' at 0x7ff58ffb9ad0>
2022-11-23T01:30:19.9794686Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9794751Z             }
2022-11-23T01:30:19.9794803Z             
2022-11-23T01:30:19.9794869Z  - 
2022-11-23T01:30:19.9794991Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9795054Z             {
2022-11-23T01:30:19.9795196Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9795303Z                 'code': None,
2022-11-23T01:30:19.9795500Z                 'obj_weakref': <weakref at 0x7ff59c125e90; to 'Tensor' at 0x7ff5a86c59e0>
2022-11-23T01:30:19.9795782Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9795845Z             }
2022-11-23T01:30:19.9795908Z             
2022-11-23T01:30:19.9795977Z  - 
2022-11-23T01:30:19.9796095Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9796160Z             {
2022-11-23T01:30:19.9796280Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9796451Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:19.9796656Z                 'obj_weakref': <weakref at 0x7ff5a811c1d0; to 'M' at 0x7ff58f929ed0>
2022-11-23T01:30:19.9796871Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9796935Z             }
2022-11-23T01:30:19.9796993Z             
2022-11-23T01:30:19.9797064Z  - 
2022-11-23T01:30:19.9797184Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9797245Z             {
2022-11-23T01:30:19.9797378Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9797594Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9797701Z                 'obj_weakref': None
2022-11-23T01:30:19.9797917Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9797979Z             }
2022-11-23T01:30:19.9798040Z             
2022-11-23T01:30:19.9798109Z  - 
2022-11-23T01:30:19.9798239Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9798300Z             {
2022-11-23T01:30:19.9798406Z                 'guard_types': None,
2022-11-23T01:30:19.9798509Z                 'code': None,
2022-11-23T01:30:19.9798624Z                 'obj_weakref': None
2022-11-23T01:30:19.9798742Z                 'guarded_class': None
2022-11-23T01:30:19.9798806Z             }
2022-11-23T01:30:19.9798865Z             
2022-11-23T01:30:19.9798920Z  - 
2022-11-23T01:30:19.9799075Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9799136Z             {
2022-11-23T01:30:19.9799251Z                 'guard_types': None,
2022-11-23T01:30:19.9799357Z                 'code': None,
2022-11-23T01:30:19.9799471Z                 'obj_weakref': None
2022-11-23T01:30:19.9799591Z                 'guarded_class': None
2022-11-23T01:30:19.9799642Z             }
2022-11-23T01:30:19.9799702Z             
2022-11-23T01:30:19.9799771Z  - 
2022-11-23T01:30:19.9799939Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9800002Z             {
2022-11-23T01:30:19.9800123Z                 'guard_types': None,
2022-11-23T01:30:19.9800228Z                 'code': None,
2022-11-23T01:30:19.9800332Z                 'obj_weakref': None
2022-11-23T01:30:19.9800451Z                 'guarded_class': None
2022-11-23T01:30:19.9800512Z             }
2022-11-23T01:30:19.9800576Z             
2022-11-23T01:30:19.9800837Z [2022-11-23 01:25:25,876] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 224
2022-11-23T01:30:19.9801232Z [2022-11-23 01:25:25,877] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py
2022-11-23T01:30:19.9801498Z [2022-11-23 01:25:25,878] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 224
2022-11-23T01:30:19.9801721Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9802035Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9802253Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9802497Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9802767Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9803107Z [2022-11-23 01:25:25,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9803446Z [2022-11-23 01:25:25,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9803754Z [2022-11-23 01:25:25,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9804133Z [2022-11-23 01:25:25,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9804228Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9804311Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9804404Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9804493Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9804588Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9804594Z 
2022-11-23T01:30:19.9804684Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9804781Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9804871Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9804965Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9805040Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9805126Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9805130Z 
2022-11-23T01:30:19.9805216Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9805292Z               24 RETURN_VALUE
2022-11-23T01:30:19.9805353Z  
2022-11-23T01:30:19.9805359Z 
2022-11-23T01:30:19.9805676Z [2022-11-23 01:25:25,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9805893Z [2022-11-23 01:25:25,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9806140Z [2022-11-23 01:25:25,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9806368Z [2022-11-23 01:25:25,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9806643Z [2022-11-23 01:25:25,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9806882Z [2022-11-23 01:25:25,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9807195Z [2022-11-23 01:25:25,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9807405Z [2022-11-23 01:25:25,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9807684Z [2022-11-23 01:25:25,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9807934Z [2022-11-23 01:25:25,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9808210Z [2022-11-23 01:25:25,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9808522Z [2022-11-23 01:25:25,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9808903Z [2022-11-23 01:25:25,890] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dd9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 
2022-11-23T01:30:19.9808989Z  107           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9809135Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.9809221Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9809306Z               6 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9809399Z               8 CALL_METHOD              2
2022-11-23T01:30:19.9809478Z              10 RETURN_VALUE
2022-11-23T01:30:19.9809536Z  
2022-11-23T01:30:19.9809541Z 
2022-11-23T01:30:19.9809755Z [2022-11-23 01:25:25,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9810105Z [2022-11-23 01:25:25,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9810425Z [2022-11-23 01:25:25,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9810768Z [2022-11-23 01:25:25,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9811149Z [2022-11-23 01:25:25,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9811395Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9811786Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dd9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107>
2022-11-23T01:30:19.9812022Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9812331Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9812540Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9812786Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9813169Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9813401Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9813633Z [2022-11-23 01:25:25,892] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9813884Z [2022-11-23 01:25:25,893] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9814127Z [2022-11-23 01:25:25,913] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9814317Z [2022-11-23 01:25:25,914] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9814451Z  __compiled_fn_232 <eval_with_key>.1888 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9814565Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9814652Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9814760Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9814865Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9814870Z 
2022-11-23T01:30:19.9815191Z [2022-11-23 01:25:25,914] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9815283Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9815370Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9815454Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9815543Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9815652Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9815727Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9815799Z              12 RETURN_VALUE
2022-11-23T01:30:19.9815807Z 
2022-11-23T01:30:19.9815865Z  
2022-11-23T01:30:19.9816184Z [2022-11-23 01:25:25,915] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9816288Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_232)
2022-11-23T01:30:19.9816377Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9816575Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9816651Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9816727Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9816811Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9816887Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9816972Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9817064Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9817137Z              18 RETURN_VALUE
2022-11-23T01:30:19.9817142Z 
2022-11-23T01:30:19.9817200Z  
2022-11-23T01:30:19.9817373Z [2022-11-23 01:25:25,916] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9817442Z  - 
2022-11-23T01:30:19.9817559Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9817623Z             {
2022-11-23T01:30:19.9817761Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9817945Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9818064Z                 'obj_weakref': None
2022-11-23T01:30:19.9818274Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9818338Z             }
2022-11-23T01:30:19.9818399Z             
2022-11-23T01:30:19.9818465Z  - 
2022-11-23T01:30:19.9818587Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9818650Z             {
2022-11-23T01:30:19.9818791Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9818884Z                 'code': None,
2022-11-23T01:30:19.9819096Z                 'obj_weakref': <weakref at 0x7ff5a84e1760; to 'Tensor' at 0x7ff59c124b80>
2022-11-23T01:30:19.9819347Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9819411Z             }
2022-11-23T01:30:19.9819475Z             
2022-11-23T01:30:19.9819540Z  - 
2022-11-23T01:30:19.9819661Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9819710Z             {
2022-11-23T01:30:19.9819847Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9819952Z                 'code': None,
2022-11-23T01:30:19.9820161Z                 'obj_weakref': <weakref at 0x7ff59c1ee1b0; to 'Tensor' at 0x7ff5a815a250>
2022-11-23T01:30:19.9820409Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9820474Z             }
2022-11-23T01:30:19.9820535Z             
2022-11-23T01:30:19.9820590Z  - 
2022-11-23T01:30:19.9820707Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9820817Z             {
2022-11-23T01:30:19.9820951Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9821118Z                 'code': ['___check_obj_id(model, 140692862905568)'],
2022-11-23T01:30:19.9821323Z                 'obj_weakref': <weakref at 0x7ff5a816e930; to 'M' at 0x7ff59c1dace0>
2022-11-23T01:30:19.9821542Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9821592Z             }
2022-11-23T01:30:19.9821652Z             
2022-11-23T01:30:19.9821722Z  - 
2022-11-23T01:30:19.9821840Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9821902Z             {
2022-11-23T01:30:19.9822042Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9822264Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9822405Z                 'obj_weakref': None
2022-11-23T01:30:19.9822626Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9822687Z             }
2022-11-23T01:30:19.9822750Z             
2022-11-23T01:30:19.9822818Z  - 
2022-11-23T01:30:19.9822949Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9823010Z             {
2022-11-23T01:30:19.9823116Z                 'guard_types': None,
2022-11-23T01:30:19.9823217Z                 'code': None,
2022-11-23T01:30:19.9823333Z                 'obj_weakref': None
2022-11-23T01:30:19.9823451Z                 'guarded_class': None
2022-11-23T01:30:19.9823511Z             }
2022-11-23T01:30:19.9823574Z             
2022-11-23T01:30:19.9823639Z  - 
2022-11-23T01:30:19.9823782Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9823841Z             {
2022-11-23T01:30:19.9823961Z                 'guard_types': None,
2022-11-23T01:30:19.9824063Z                 'code': None,
2022-11-23T01:30:19.9824176Z                 'obj_weakref': None
2022-11-23T01:30:19.9824297Z                 'guarded_class': None
2022-11-23T01:30:19.9824347Z             }
2022-11-23T01:30:19.9824407Z             
2022-11-23T01:30:19.9824476Z  - 
2022-11-23T01:30:19.9824640Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9824702Z             {
2022-11-23T01:30:19.9824816Z                 'guard_types': None,
2022-11-23T01:30:19.9824920Z                 'code': None,
2022-11-23T01:30:19.9825023Z                 'obj_weakref': None
2022-11-23T01:30:19.9825140Z                 'guarded_class': None
2022-11-23T01:30:19.9825203Z             }
2022-11-23T01:30:19.9825262Z             
2022-11-23T01:30:19.9825516Z [2022-11-23 01:25:25,936] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 225
2022-11-23T01:30:19.9825876Z [2022-11-23 01:25:25,939] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py
2022-11-23T01:30:19.9826141Z [2022-11-23 01:25:25,939] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 225
2022-11-23T01:30:19.9826374Z [2022-11-23 01:25:25,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9826675Z [2022-11-23 01:25:25,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9826889Z [2022-11-23 01:25:25,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9827127Z [2022-11-23 01:25:25,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9827392Z [2022-11-23 01:25:25,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9827703Z [2022-11-23 01:25:25,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9828076Z [2022-11-23 01:25:25,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9828387Z [2022-11-23 01:25:25,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9828761Z [2022-11-23 01:25:25,946] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9828854Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9828946Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9829024Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9829109Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9829227Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9829233Z 
2022-11-23T01:30:19.9829323Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9829416Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9829501Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9829588Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9829662Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9829748Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9829753Z 
2022-11-23T01:30:19.9829837Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9829910Z               24 RETURN_VALUE
2022-11-23T01:30:19.9829969Z  
2022-11-23T01:30:19.9829973Z 
2022-11-23T01:30:19.9830288Z [2022-11-23 01:25:25,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9830501Z [2022-11-23 01:25:25,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9830750Z [2022-11-23 01:25:25,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9830988Z [2022-11-23 01:25:25,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9831248Z [2022-11-23 01:25:25,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9831482Z [2022-11-23 01:25:25,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9831789Z [2022-11-23 01:25:25,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9832000Z [2022-11-23 01:25:25,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9832245Z [2022-11-23 01:25:25,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9832497Z [2022-11-23 01:25:25,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9832770Z [2022-11-23 01:25:25,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9833078Z [2022-11-23 01:25:25,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9833458Z [2022-11-23 01:25:25,952] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dd9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107> 
2022-11-23T01:30:19.9833550Z  107           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:19.9833631Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:30:19.9833719Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9833887Z               6 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9833978Z               8 CALL_METHOD              2
2022-11-23T01:30:19.9834051Z              10 RETURN_VALUE
2022-11-23T01:30:19.9834157Z  
2022-11-23T01:30:19.9834162Z 
2022-11-23T01:30:19.9834383Z [2022-11-23 01:25:25,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:19.9834733Z [2022-11-23 01:25:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:19.9835051Z [2022-11-23 01:25:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:19.9835387Z [2022-11-23 01:25:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:19.9835759Z [2022-11-23 01:25:25,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9836028Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9836413Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dd9a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 107>
2022-11-23T01:30:19.9836651Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9836960Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9837168Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9837411Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9837794Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9838025Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9838258Z [2022-11-23 01:25:25,955] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9838506Z [2022-11-23 01:25:25,957] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9838754Z [2022-11-23 01:25:25,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9838939Z [2022-11-23 01:25:25,969] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9839073Z  __compiled_fn_233 <eval_with_key>.1899 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9839163Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9839250Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9839370Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9839465Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9839471Z 
2022-11-23T01:30:19.9839792Z [2022-11-23 01:25:25,969] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9839884Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9839974Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9840059Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9840148Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9840231Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9840305Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9840381Z              12 RETURN_VALUE
2022-11-23T01:30:19.9840386Z 
2022-11-23T01:30:19.9840444Z  
2022-11-23T01:30:19.9840789Z [2022-11-23 01:25:25,970] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9840897Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_233)
2022-11-23T01:30:19.9840983Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9841069Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9841143Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9841218Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9841303Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9841375Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9841459Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9841545Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9841616Z              18 RETURN_VALUE
2022-11-23T01:30:19.9841646Z 
2022-11-23T01:30:19.9841704Z  
2022-11-23T01:30:19.9841874Z [2022-11-23 01:25:25,971] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9841943Z  - 
2022-11-23T01:30:19.9842063Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9842126Z             {
2022-11-23T01:30:19.9842264Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9842445Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9842561Z                 'obj_weakref': None
2022-11-23T01:30:19.9842771Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9842833Z             }
2022-11-23T01:30:19.9842895Z             
2022-11-23T01:30:19.9842963Z  - 
2022-11-23T01:30:19.9843083Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9843144Z             {
2022-11-23T01:30:19.9843285Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9843377Z                 'code': None,
2022-11-23T01:30:19.9843587Z                 'obj_weakref': <weakref at 0x7ff5a8072930; to 'Tensor' at 0x7ff5a885b9c0>
2022-11-23T01:30:19.9843838Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9843899Z             }
2022-11-23T01:30:19.9843960Z             
2022-11-23T01:30:19.9844025Z  - 
2022-11-23T01:30:19.9844146Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9844197Z             {
2022-11-23T01:30:19.9844338Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9844441Z                 'code': None,
2022-11-23T01:30:19.9844646Z                 'obj_weakref': <weakref at 0x7ff5a8072520; to 'Tensor' at 0x7ff5a84e2110>
2022-11-23T01:30:19.9844893Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9844954Z             }
2022-11-23T01:30:19.9845015Z             
2022-11-23T01:30:19.9845073Z  - 
2022-11-23T01:30:19.9845190Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9845251Z             {
2022-11-23T01:30:19.9845385Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9845554Z                 'code': ['___check_obj_id(model, 140692656410768)'],
2022-11-23T01:30:19.9845753Z                 'obj_weakref': <weakref at 0x7ff5a8659e90; to 'M' at 0x7ff58fced090>
2022-11-23T01:30:19.9845970Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9846033Z             }
2022-11-23T01:30:19.9846082Z             
2022-11-23T01:30:19.9846152Z  - 
2022-11-23T01:30:19.9846277Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9846341Z             {
2022-11-23T01:30:19.9846475Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9846690Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9846795Z                 'obj_weakref': None
2022-11-23T01:30:19.9847017Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9847079Z             }
2022-11-23T01:30:19.9847144Z             
2022-11-23T01:30:19.9847242Z  - 
2022-11-23T01:30:19.9847377Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:19.9847438Z             {
2022-11-23T01:30:19.9847545Z                 'guard_types': None,
2022-11-23T01:30:19.9847652Z                 'code': None,
2022-11-23T01:30:19.9847771Z                 'obj_weakref': None
2022-11-23T01:30:19.9847891Z                 'guarded_class': None
2022-11-23T01:30:19.9847955Z             }
2022-11-23T01:30:19.9848018Z             
2022-11-23T01:30:19.9848086Z  - 
2022-11-23T01:30:19.9848226Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9848289Z             {
2022-11-23T01:30:19.9848408Z                 'guard_types': None,
2022-11-23T01:30:19.9848515Z                 'code': None,
2022-11-23T01:30:19.9848633Z                 'obj_weakref': None
2022-11-23T01:30:19.9848780Z                 'guarded_class': None
2022-11-23T01:30:19.9848843Z             }
2022-11-23T01:30:19.9848893Z             
2022-11-23T01:30:19.9848960Z  - 
2022-11-23T01:30:19.9849128Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9849191Z             {
2022-11-23T01:30:19.9849309Z                 'guard_types': None,
2022-11-23T01:30:19.9849414Z                 'code': None,
2022-11-23T01:30:19.9849519Z                 'obj_weakref': None
2022-11-23T01:30:19.9849637Z                 'guarded_class': None
2022-11-23T01:30:19.9849700Z             }
2022-11-23T01:30:19.9849764Z             
2022-11-23T01:30:19.9850024Z [2022-11-23 01:25:25,987] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 226
2022-11-23T01:30:19.9850030Z 
2022-11-23T01:30:19.9850123Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9850192Z import torch
2022-11-23T01:30:19.9850262Z import random
2022-11-23T01:30:19.9850367Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9850488Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9850493Z 
2022-11-23T01:30:19.9850572Z aten = torch.ops.aten
2022-11-23T01:30:19.9850708Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9850800Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9850805Z 
2022-11-23T01:30:19.9850810Z 
2022-11-23T01:30:19.9850897Z async_compile.wait(globals())
2022-11-23T01:30:19.9850969Z del async_compile
2022-11-23T01:30:19.9850974Z 
2022-11-23T01:30:19.9851044Z def call(args):
2022-11-23T01:30:19.9851120Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:19.9851189Z     args.clear()
2022-11-23T01:30:19.9851414Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2022-11-23T01:30:19.9851480Z     del arg0_1
2022-11-23T01:30:19.9851544Z     del arg1_1
2022-11-23T01:30:19.9851607Z     del arg2_1
2022-11-23T01:30:19.9851659Z     del arg3_1
2022-11-23T01:30:19.9851730Z     return (buf0, )
2022-11-23T01:30:19.9851735Z 
2022-11-23T01:30:19.9851739Z 
2022-11-23T01:30:19.9851815Z if __name__ == "__main__":
2022-11-23T01:30:19.9851927Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9852047Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9852246Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9852439Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9852637Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9852838Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9852953Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:19.9852958Z 
2022-11-23T01:30:19.9852962Z 
2022-11-23T01:30:19.9853052Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9853122Z import torch
2022-11-23T01:30:19.9853190Z import random
2022-11-23T01:30:19.9853302Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9853447Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9853452Z 
2022-11-23T01:30:19.9853528Z aten = torch.ops.aten
2022-11-23T01:30:19.9853647Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9853736Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9853740Z 
2022-11-23T01:30:19.9853745Z 
2022-11-23T01:30:19.9853831Z async_compile.wait(globals())
2022-11-23T01:30:19.9853903Z del async_compile
2022-11-23T01:30:19.9853908Z 
2022-11-23T01:30:19.9853975Z def call(args):
2022-11-23T01:30:19.9854054Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.9854120Z     args.clear()
2022-11-23T01:30:19.9854341Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2022-11-23T01:30:19.9854397Z     del arg0_1
2022-11-23T01:30:19.9854460Z     del arg1_1
2022-11-23T01:30:19.9854555Z     del arg2_1
2022-11-23T01:30:19.9854625Z     return (buf0, )
2022-11-23T01:30:19.9854630Z 
2022-11-23T01:30:19.9854634Z 
2022-11-23T01:30:19.9854708Z if __name__ == "__main__":
2022-11-23T01:30:19.9854821Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9854941Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9855139Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9855333Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9855533Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9855653Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.9855658Z 
2022-11-23T01:30:19.9855663Z 
2022-11-23T01:30:19.9855754Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9855822Z import torch
2022-11-23T01:30:19.9855890Z import random
2022-11-23T01:30:19.9856005Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9856120Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9856125Z 
2022-11-23T01:30:19.9856192Z aten = torch.ops.aten
2022-11-23T01:30:19.9856320Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9856516Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9856522Z 
2022-11-23T01:30:19.9856526Z 
2022-11-23T01:30:19.9856612Z async_compile.wait(globals())
2022-11-23T01:30:19.9856683Z del async_compile
2022-11-23T01:30:19.9856688Z 
2022-11-23T01:30:19.9856757Z def call(args):
2022-11-23T01:30:19.9856845Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:19.9856915Z     args.clear()
2022-11-23T01:30:19.9857130Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2022-11-23T01:30:19.9857196Z     del arg0_1
2022-11-23T01:30:19.9857262Z     del arg1_1
2022-11-23T01:30:19.9857327Z     del arg2_1
2022-11-23T01:30:19.9857394Z     del arg3_1
2022-11-23T01:30:19.9857462Z     return (buf0, )
2022-11-23T01:30:19.9857467Z 
2022-11-23T01:30:19.9857471Z 
2022-11-23T01:30:19.9857544Z if __name__ == "__main__":
2022-11-23T01:30:19.9857647Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9857768Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9857967Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9858161Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9858355Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9858546Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9858673Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:19.9858679Z 
2022-11-23T01:30:19.9858683Z 
2022-11-23T01:30:19.9858774Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9858833Z import torch
2022-11-23T01:30:19.9858903Z import random
2022-11-23T01:30:19.9859014Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9859175Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9859181Z 
2022-11-23T01:30:19.9859256Z aten = torch.ops.aten
2022-11-23T01:30:19.9859383Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9859475Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9859481Z 
2022-11-23T01:30:19.9859485Z 
2022-11-23T01:30:19.9859572Z async_compile.wait(globals())
2022-11-23T01:30:19.9859631Z del async_compile
2022-11-23T01:30:19.9859635Z 
2022-11-23T01:30:19.9859704Z def call(args):
2022-11-23T01:30:19.9859783Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.9859851Z     args.clear()
2022-11-23T01:30:19.9860073Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2022-11-23T01:30:19.9860140Z     del arg0_1
2022-11-23T01:30:19.9860206Z     del arg1_1
2022-11-23T01:30:19.9860291Z     del arg2_1
2022-11-23T01:30:19.9860363Z     return (buf0, )
2022-11-23T01:30:19.9860367Z 
2022-11-23T01:30:19.9860371Z 
2022-11-23T01:30:19.9860446Z if __name__ == "__main__":
2022-11-23T01:30:19.9860560Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9860679Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9860877Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9861072Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9861265Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9861373Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.9861377Z 
2022-11-23T01:30:19.9861391Z 
2022-11-23T01:30:19.9861471Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9861538Z import torch
2022-11-23T01:30:19.9861610Z import random
2022-11-23T01:30:19.9861725Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9861840Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9861846Z 
2022-11-23T01:30:19.9861919Z aten = torch.ops.aten
2022-11-23T01:30:19.9862052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9862129Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9862134Z 
2022-11-23T01:30:19.9862138Z 
2022-11-23T01:30:19.9862223Z async_compile.wait(globals())
2022-11-23T01:30:19.9862291Z del async_compile
2022-11-23T01:30:19.9862296Z 
2022-11-23T01:30:19.9862364Z def call(args):
2022-11-23T01:30:19.9862450Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:19.9862517Z     args.clear()
2022-11-23T01:30:19.9862740Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2022-11-23T01:30:19.9862795Z     del arg0_1
2022-11-23T01:30:19.9862858Z     del arg1_1
2022-11-23T01:30:19.9862920Z     del arg2_1
2022-11-23T01:30:19.9862984Z     del arg3_1
2022-11-23T01:30:19.9863054Z     return (buf0, )
2022-11-23T01:30:19.9863059Z 
2022-11-23T01:30:19.9863063Z 
2022-11-23T01:30:19.9863136Z if __name__ == "__main__":
2022-11-23T01:30:19.9863249Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9863365Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9863550Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9863743Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9863945Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9864146Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9864272Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:19.9864277Z 
2022-11-23T01:30:19.9864281Z 
2022-11-23T01:30:19.9864372Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9864441Z import torch
2022-11-23T01:30:19.9864508Z import random
2022-11-23T01:30:19.9864609Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9864754Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9864759Z 
2022-11-23T01:30:19.9864836Z aten = torch.ops.aten
2022-11-23T01:30:19.9864971Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9865058Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9865063Z 
2022-11-23T01:30:19.9865067Z 
2022-11-23T01:30:19.9865152Z async_compile.wait(globals())
2022-11-23T01:30:19.9865222Z del async_compile
2022-11-23T01:30:19.9865226Z 
2022-11-23T01:30:19.9865291Z def call(args):
2022-11-23T01:30:19.9865359Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:19.9865428Z     args.clear()
2022-11-23T01:30:19.9865654Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2022-11-23T01:30:19.9865720Z     del arg0_1
2022-11-23T01:30:19.9865787Z     del arg1_1
2022-11-23T01:30:19.9865878Z     del arg2_1
2022-11-23T01:30:19.9865947Z     return (buf0, )
2022-11-23T01:30:19.9865952Z 
2022-11-23T01:30:19.9865956Z 
2022-11-23T01:30:19.9866017Z if __name__ == "__main__":
2022-11-23T01:30:19.9866129Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9866247Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9866444Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9866646Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9866844Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9866963Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:19.9866967Z 
2022-11-23T01:30:19.9866971Z 
2022-11-23T01:30:19.9867061Z from ctypes import c_void_p, c_long
2022-11-23T01:30:19.9867117Z import torch
2022-11-23T01:30:19.9867185Z import random
2022-11-23T01:30:19.9867300Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:19.9867417Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:19.9867422Z 
2022-11-23T01:30:19.9867499Z aten = torch.ops.aten
2022-11-23T01:30:19.9867626Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:19.9867714Z async_compile = AsyncCompile()
2022-11-23T01:30:19.9867719Z 
2022-11-23T01:30:19.9867723Z 
2022-11-23T01:30:19.9867808Z async_compile.wait(globals())
2022-11-23T01:30:19.9867867Z del async_compile
2022-11-23T01:30:19.9867872Z 
2022-11-23T01:30:19.9867940Z def call(args):
2022-11-23T01:30:19.9868025Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:19.9868094Z     args.clear()
2022-11-23T01:30:19.9868317Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2022-11-23T01:30:19.9868382Z     del arg0_1
2022-11-23T01:30:19.9868445Z     del arg1_1
2022-11-23T01:30:19.9868497Z     del arg2_1
2022-11-23T01:30:19.9868559Z     del arg3_1
2022-11-23T01:30:19.9868631Z     return (buf0, )
2022-11-23T01:30:19.9868636Z 
2022-11-23T01:30:19.9868640Z 
2022-11-23T01:30:19.9868714Z if __name__ == "__main__":
2022-11-23T01:30:19.9868827Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:19.9868945Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:19.9869140Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9869331Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9869514Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9869705Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:19.9869832Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:19.9869837Z 
2022-11-23T01:30:19.9870204Z [2022-11-23 01:25:25,988] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py
2022-11-23T01:30:19.9870468Z [2022-11-23 01:25:25,989] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 226
2022-11-23T01:30:19.9870733Z [2022-11-23 01:25:25,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9871046Z [2022-11-23 01:25:25,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9871260Z [2022-11-23 01:25:25,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9871500Z [2022-11-23 01:25:25,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9871754Z [2022-11-23 01:25:25,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9872062Z [2022-11-23 01:25:25,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9872427Z [2022-11-23 01:25:25,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9872733Z [2022-11-23 01:25:25,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9873111Z [2022-11-23 01:25:25,993] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9873204Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9873298Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9873385Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9873471Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9873548Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9873565Z 
2022-11-23T01:30:19.9873643Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9873738Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9873906Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9873994Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9874081Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9874165Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9874170Z 
2022-11-23T01:30:19.9874254Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9874316Z               24 RETURN_VALUE
2022-11-23T01:30:19.9874375Z  
2022-11-23T01:30:19.9874380Z 
2022-11-23T01:30:19.9874693Z [2022-11-23 01:25:25,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9874908Z [2022-11-23 01:25:25,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9875157Z [2022-11-23 01:25:25,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9875399Z [2022-11-23 01:25:25,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9875674Z [2022-11-23 01:25:25,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9875909Z [2022-11-23 01:25:26,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9876219Z [2022-11-23 01:25:26,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9876414Z [2022-11-23 01:25:26,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9876662Z [2022-11-23 01:25:26,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9876911Z [2022-11-23 01:25:26,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9877238Z [2022-11-23 01:25:26,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9877550Z [2022-11-23 01:25:26,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9877926Z [2022-11-23 01:25:26,002] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dda50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 
2022-11-23T01:30:19.9878015Z  108           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9878113Z               2 LOAD_METHOD              0 (add)
2022-11-23T01:30:19.9878199Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9878274Z               6 CALL_METHOD              1
2022-11-23T01:30:19.9878377Z               8 RETURN_VALUE
2022-11-23T01:30:19.9878437Z  
2022-11-23T01:30:19.9878442Z 
2022-11-23T01:30:19.9878648Z [2022-11-23 01:25:26,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9878887Z [2022-11-23 01:25:26,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()]
2022-11-23T01:30:19.9879155Z [2022-11-23 01:25:26,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)]
2022-11-23T01:30:19.9879461Z [2022-11-23 01:25:26,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()]
2022-11-23T01:30:19.9879705Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9880092Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dda50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108>
2022-11-23T01:30:19.9880319Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9880630Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9880839Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9881082Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9881467Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9881708Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9881938Z [2022-11-23 01:25:26,003] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9882196Z [2022-11-23 01:25:26,004] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9882440Z [2022-11-23 01:25:26,015] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9882625Z [2022-11-23 01:25:26,015] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9882746Z  __compiled_fn_234 <eval_with_key>.1910 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9882832Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9882916Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9883035Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9883141Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9883145Z 
2022-11-23T01:30:19.9883466Z [2022-11-23 01:25:26,015] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9883561Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9883677Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9883751Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9883840Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9883923Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9884009Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9884086Z              12 RETURN_VALUE
2022-11-23T01:30:19.9884091Z 
2022-11-23T01:30:19.9884153Z  
2022-11-23T01:30:19.9884477Z [2022-11-23 01:25:26,015] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9884571Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_234)
2022-11-23T01:30:19.9884663Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9884752Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9884858Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9884947Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9885037Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9885114Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9885201Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9885278Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9885352Z              18 RETURN_VALUE
2022-11-23T01:30:19.9885357Z 
2022-11-23T01:30:19.9885419Z  
2022-11-23T01:30:19.9885601Z [2022-11-23 01:25:26,016] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9885672Z  - 
2022-11-23T01:30:19.9885792Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9885856Z             {
2022-11-23T01:30:19.9885985Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9886171Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9886291Z                 'obj_weakref': None
2022-11-23T01:30:19.9886518Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9886583Z             }
2022-11-23T01:30:19.9886649Z             
2022-11-23T01:30:19.9886717Z  - 
2022-11-23T01:30:19.9886828Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9886891Z             {
2022-11-23T01:30:19.9887034Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9887141Z                 'code': None,
2022-11-23T01:30:19.9887353Z                 'obj_weakref': <weakref at 0x7ff5a8541ad0; to 'Tensor' at 0x7ff58fda46d0>
2022-11-23T01:30:19.9887605Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9887669Z             }
2022-11-23T01:30:19.9887720Z             
2022-11-23T01:30:19.9887788Z  - 
2022-11-23T01:30:19.9887911Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9887973Z             {
2022-11-23T01:30:19.9888117Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9888224Z                 'code': None,
2022-11-23T01:30:19.9888436Z                 'obj_weakref': <weakref at 0x7ff5ad9911c0; to 'Tensor' at 0x7ff5a8858720>
2022-11-23T01:30:19.9888673Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9888737Z             }
2022-11-23T01:30:19.9888800Z             
2022-11-23T01:30:19.9888869Z  - 
2022-11-23T01:30:19.9888990Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9889053Z             {
2022-11-23T01:30:19.9889186Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9889342Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:19.9889538Z                 'obj_weakref': <weakref at 0x7ff59c2071f0; to 'M' at 0x7ff5a97fd9c0>
2022-11-23T01:30:19.9889755Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9889819Z             }
2022-11-23T01:30:19.9889880Z             
2022-11-23T01:30:19.9889948Z  - 
2022-11-23T01:30:19.9890066Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9890151Z             {
2022-11-23T01:30:19.9890289Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9890506Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9890622Z                 'obj_weakref': None
2022-11-23T01:30:19.9890843Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9890907Z             }
2022-11-23T01:30:19.9890968Z             
2022-11-23T01:30:19.9891024Z  - 
2022-11-23T01:30:19.9891178Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9891247Z             {
2022-11-23T01:30:19.9891365Z                 'guard_types': None,
2022-11-23T01:30:19.9891468Z                 'code': None,
2022-11-23T01:30:19.9891611Z                 'obj_weakref': None
2022-11-23T01:30:19.9891730Z                 'guarded_class': None
2022-11-23T01:30:19.9891779Z             }
2022-11-23T01:30:19.9891839Z             
2022-11-23T01:30:19.9891907Z  - 
2022-11-23T01:30:19.9892072Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9892132Z             {
2022-11-23T01:30:19.9892248Z                 'guard_types': None,
2022-11-23T01:30:19.9892339Z                 'code': None,
2022-11-23T01:30:19.9892453Z                 'obj_weakref': None
2022-11-23T01:30:19.9892571Z                 'guarded_class': None
2022-11-23T01:30:19.9892632Z             }
2022-11-23T01:30:19.9892692Z             
2022-11-23T01:30:19.9892949Z [2022-11-23 01:25:26,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 227
2022-11-23T01:30:19.9893311Z [2022-11-23 01:25:26,029] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py
2022-11-23T01:30:19.9893572Z [2022-11-23 01:25:26,029] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 227
2022-11-23T01:30:19.9893795Z [2022-11-23 01:25:26,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9894108Z [2022-11-23 01:25:26,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9894319Z [2022-11-23 01:25:26,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9894557Z [2022-11-23 01:25:26,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9894819Z [2022-11-23 01:25:26,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9895128Z [2022-11-23 01:25:26,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9895465Z [2022-11-23 01:25:26,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9895773Z [2022-11-23 01:25:26,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9896150Z [2022-11-23 01:25:26,034] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9896239Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9896321Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9896516Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9896606Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9896694Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9896702Z 
2022-11-23T01:30:19.9896791Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9896884Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9897015Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9897104Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9897179Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9897263Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9897268Z 
2022-11-23T01:30:19.9897351Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9897426Z               24 RETURN_VALUE
2022-11-23T01:30:19.9897486Z  
2022-11-23T01:30:19.9897491Z 
2022-11-23T01:30:19.9897808Z [2022-11-23 01:25:26,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9898021Z [2022-11-23 01:25:26,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9898301Z [2022-11-23 01:25:26,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9898530Z [2022-11-23 01:25:26,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9898804Z [2022-11-23 01:25:26,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9899038Z [2022-11-23 01:25:26,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9899347Z [2022-11-23 01:25:26,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9899556Z [2022-11-23 01:25:26,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9899799Z [2022-11-23 01:25:26,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9900046Z [2022-11-23 01:25:26,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9900327Z [2022-11-23 01:25:26,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9900636Z [2022-11-23 01:25:26,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9901015Z [2022-11-23 01:25:26,038] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dda50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 
2022-11-23T01:30:19.9901093Z  108           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9901185Z               2 LOAD_METHOD              0 (add)
2022-11-23T01:30:19.9901272Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9901361Z               6 CALL_METHOD              1
2022-11-23T01:30:19.9901436Z               8 RETURN_VALUE
2022-11-23T01:30:19.9901498Z  
2022-11-23T01:30:19.9901503Z 
2022-11-23T01:30:19.9901708Z [2022-11-23 01:25:26,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9901936Z [2022-11-23 01:25:26,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()]
2022-11-23T01:30:19.9902204Z [2022-11-23 01:25:26,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)]
2022-11-23T01:30:19.9902503Z [2022-11-23 01:25:26,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()]
2022-11-23T01:30:19.9902744Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9903124Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dda50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108>
2022-11-23T01:30:19.9903362Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9903696Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9903905Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9904146Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9904534Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9904773Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9904994Z [2022-11-23 01:25:26,040] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9905270Z [2022-11-23 01:25:26,041] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9905523Z [2022-11-23 01:25:26,047] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9905709Z [2022-11-23 01:25:26,047] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9905842Z  __compiled_fn_235 <eval_with_key>.1921 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9905930Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9906013Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9906133Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9906228Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9906233Z 
2022-11-23T01:30:19.9906556Z [2022-11-23 01:25:26,048] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9906649Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9906739Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9906825Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9906916Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9906999Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9907083Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9907146Z              12 RETURN_VALUE
2022-11-23T01:30:19.9907151Z 
2022-11-23T01:30:19.9907209Z  
2022-11-23T01:30:19.9907524Z [2022-11-23 01:25:26,048] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9907628Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_235)
2022-11-23T01:30:19.9907715Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9907800Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9907878Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9907954Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9908038Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9908114Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9908200Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9908287Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9908360Z              18 RETURN_VALUE
2022-11-23T01:30:19.9908365Z 
2022-11-23T01:30:19.9908422Z  
2022-11-23T01:30:19.9908601Z [2022-11-23 01:25:26,048] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9908659Z  - 
2022-11-23T01:30:19.9908775Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9908838Z             {
2022-11-23T01:30:19.9908975Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9909159Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9909274Z                 'obj_weakref': None
2022-11-23T01:30:19.9909498Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9909549Z             }
2022-11-23T01:30:19.9909609Z             
2022-11-23T01:30:19.9909726Z  - 
2022-11-23T01:30:19.9909849Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9909909Z             {
2022-11-23T01:30:19.9910047Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9910142Z                 'code': None,
2022-11-23T01:30:19.9910352Z                 'obj_weakref': <weakref at 0x7ff5a8502390; to 'Tensor' at 0x7ff5a815a250>
2022-11-23T01:30:19.9910605Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9910667Z             }
2022-11-23T01:30:19.9910729Z             
2022-11-23T01:30:19.9910794Z  - 
2022-11-23T01:30:19.9910915Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9910965Z             {
2022-11-23T01:30:19.9911104Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9911237Z                 'code': None,
2022-11-23T01:30:19.9911445Z                 'obj_weakref': <weakref at 0x7ff5a8500a90; to 'Tensor' at 0x7ff5a8070680>
2022-11-23T01:30:19.9911698Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9911759Z             }
2022-11-23T01:30:19.9911818Z             
2022-11-23T01:30:19.9911885Z  - 
2022-11-23T01:30:19.9911991Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9912051Z             {
2022-11-23T01:30:19.9912181Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9912347Z                 'code': ['___check_obj_id(model, 140693069575552)'],
2022-11-23T01:30:19.9912546Z                 'obj_weakref': <weakref at 0x7ff5a81e3e20; to 'M' at 0x7ff5a86f3580>
2022-11-23T01:30:19.9912758Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9912819Z             }
2022-11-23T01:30:19.9912871Z             
2022-11-23T01:30:19.9912937Z  - 
2022-11-23T01:30:19.9913056Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9913117Z             {
2022-11-23T01:30:19.9913251Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9913465Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9913584Z                 'obj_weakref': None
2022-11-23T01:30:19.9913790Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9913923Z             }
2022-11-23T01:30:19.9913985Z             
2022-11-23T01:30:19.9914054Z  - 
2022-11-23T01:30:19.9914207Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9914269Z             {
2022-11-23T01:30:19.9914374Z                 'guard_types': None,
2022-11-23T01:30:19.9914478Z                 'code': None,
2022-11-23T01:30:19.9914594Z                 'obj_weakref': None
2022-11-23T01:30:19.9914715Z                 'guarded_class': None
2022-11-23T01:30:19.9914779Z             }
2022-11-23T01:30:19.9914840Z             
2022-11-23T01:30:19.9914907Z  - 
2022-11-23T01:30:19.9915063Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9915128Z             {
2022-11-23T01:30:19.9915244Z                 'guard_types': None,
2022-11-23T01:30:19.9915348Z                 'code': None,
2022-11-23T01:30:19.9915462Z                 'obj_weakref': None
2022-11-23T01:30:19.9915579Z                 'guarded_class': None
2022-11-23T01:30:19.9915641Z             }
2022-11-23T01:30:19.9915690Z             
2022-11-23T01:30:19.9915947Z [2022-11-23 01:25:26,059] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 228
2022-11-23T01:30:19.9916310Z [2022-11-23 01:25:26,060] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py
2022-11-23T01:30:19.9916573Z [2022-11-23 01:25:26,060] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 228
2022-11-23T01:30:19.9916841Z [2022-11-23 01:25:26,064] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9917153Z [2022-11-23 01:25:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9917368Z [2022-11-23 01:25:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9917608Z [2022-11-23 01:25:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9917874Z [2022-11-23 01:25:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9918174Z [2022-11-23 01:25:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9918507Z [2022-11-23 01:25:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9918843Z [2022-11-23 01:25:26,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9919223Z [2022-11-23 01:25:26,065] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9919316Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9919409Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9919495Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9919580Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9919667Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9919673Z 
2022-11-23T01:30:19.9919751Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9919846Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9919931Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9920018Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9920104Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9920191Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9920195Z 
2022-11-23T01:30:19.9920277Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9920350Z               24 RETURN_VALUE
2022-11-23T01:30:19.9920399Z  
2022-11-23T01:30:19.9920403Z 
2022-11-23T01:30:19.9920715Z [2022-11-23 01:25:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9920924Z [2022-11-23 01:25:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9921170Z [2022-11-23 01:25:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9921410Z [2022-11-23 01:25:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9921683Z [2022-11-23 01:25:26,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9921918Z [2022-11-23 01:25:26,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9922227Z [2022-11-23 01:25:26,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9922435Z [2022-11-23 01:25:26,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9922672Z [2022-11-23 01:25:26,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9922917Z [2022-11-23 01:25:26,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9923193Z [2022-11-23 01:25:26,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9923545Z [2022-11-23 01:25:26,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9923923Z [2022-11-23 01:25:26,074] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dda50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 
2022-11-23T01:30:19.9924011Z  108           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9924102Z               2 LOAD_METHOD              0 (add)
2022-11-23T01:30:19.9924191Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9924276Z               6 CALL_METHOD              1
2022-11-23T01:30:19.9924340Z               8 RETURN_VALUE
2022-11-23T01:30:19.9924398Z  
2022-11-23T01:30:19.9924428Z 
2022-11-23T01:30:19.9924637Z [2022-11-23 01:25:26,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9924876Z [2022-11-23 01:25:26,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()]
2022-11-23T01:30:19.9925147Z [2022-11-23 01:25:26,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)]
2022-11-23T01:30:19.9925450Z [2022-11-23 01:25:26,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()]
2022-11-23T01:30:19.9925692Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9926073Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dda50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108>
2022-11-23T01:30:19.9926307Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9926608Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9926816Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9927060Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9927442Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9927684Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9927915Z [2022-11-23 01:25:26,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9928170Z [2022-11-23 01:25:26,076] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9928416Z [2022-11-23 01:25:26,086] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9928602Z [2022-11-23 01:25:26,087] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9928724Z  __compiled_fn_236 <eval_with_key>.1932 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9928810Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9928895Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9929017Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9929124Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9929129Z 
2022-11-23T01:30:19.9929453Z [2022-11-23 01:25:26,087] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9929545Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9929636Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9929710Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9929835Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9929922Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9930011Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9930088Z              12 RETURN_VALUE
2022-11-23T01:30:19.9930093Z 
2022-11-23T01:30:19.9930153Z  
2022-11-23T01:30:19.9930472Z [2022-11-23 01:25:26,087] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9930577Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_236)
2022-11-23T01:30:19.9930654Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9930743Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9930820Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9930933Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9931025Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9931099Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9931188Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9931265Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9931339Z              18 RETURN_VALUE
2022-11-23T01:30:19.9931344Z 
2022-11-23T01:30:19.9931403Z  
2022-11-23T01:30:19.9931585Z [2022-11-23 01:25:26,088] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9931656Z  - 
2022-11-23T01:30:19.9931776Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9931841Z             {
2022-11-23T01:30:19.9931969Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9932156Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9932275Z                 'obj_weakref': None
2022-11-23T01:30:19.9932498Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9932566Z             }
2022-11-23T01:30:19.9932630Z             
2022-11-23T01:30:19.9932698Z  - 
2022-11-23T01:30:19.9932812Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9932872Z             {
2022-11-23T01:30:19.9933012Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9933120Z                 'code': None,
2022-11-23T01:30:19.9933331Z                 'obj_weakref': <weakref at 0x7ff5a85023e0; to 'Tensor' at 0x7ff5a84e3010>
2022-11-23T01:30:19.9933584Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9933644Z             }
2022-11-23T01:30:19.9933694Z             
2022-11-23T01:30:19.9933762Z  - 
2022-11-23T01:30:19.9933885Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9933949Z             {
2022-11-23T01:30:19.9934091Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9934197Z                 'code': None,
2022-11-23T01:30:19.9934403Z                 'obj_weakref': <weakref at 0x7ff5a8540a90; to 'Tensor' at 0x7ff5a885b9c0>
2022-11-23T01:30:19.9934644Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9934712Z             }
2022-11-23T01:30:19.9934775Z             
2022-11-23T01:30:19.9934842Z  - 
2022-11-23T01:30:19.9934963Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9935025Z             {
2022-11-23T01:30:19.9935158Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9935313Z                 'code': ['___check_obj_id(model, 140695482316064)'],
2022-11-23T01:30:19.9935510Z                 'obj_weakref': <weakref at 0x7ff5a811db70; to 'M' at 0x7ff6383eb520>
2022-11-23T01:30:19.9935727Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9935789Z             }
2022-11-23T01:30:19.9935850Z             
2022-11-23T01:30:19.9935918Z  - 
2022-11-23T01:30:19.9936037Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9936087Z             {
2022-11-23T01:30:19.9936220Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9936613Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9936737Z                 'obj_weakref': None
2022-11-23T01:30:19.9936957Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9937021Z             }
2022-11-23T01:30:19.9937086Z             
2022-11-23T01:30:19.9937141Z  - 
2022-11-23T01:30:19.9937293Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9937354Z             {
2022-11-23T01:30:19.9937473Z                 'guard_types': None,
2022-11-23T01:30:19.9937577Z                 'code': None,
2022-11-23T01:30:19.9937691Z                 'obj_weakref': None
2022-11-23T01:30:19.9937808Z                 'guarded_class': None
2022-11-23T01:30:19.9937893Z             }
2022-11-23T01:30:19.9937953Z             
2022-11-23T01:30:19.9938020Z  - 
2022-11-23T01:30:19.9938185Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9938249Z             {
2022-11-23T01:30:19.9938365Z                 'guard_types': None,
2022-11-23T01:30:19.9938468Z                 'code': None,
2022-11-23T01:30:19.9938571Z                 'obj_weakref': None
2022-11-23T01:30:19.9938690Z                 'guarded_class': None
2022-11-23T01:30:19.9938750Z             }
2022-11-23T01:30:19.9938810Z             
2022-11-23T01:30:19.9939068Z [2022-11-23 01:25:26,099] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 229
2022-11-23T01:30:19.9939429Z [2022-11-23 01:25:26,100] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py
2022-11-23T01:30:19.9939690Z [2022-11-23 01:25:26,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 229
2022-11-23T01:30:19.9939926Z [2022-11-23 01:25:26,104] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9940225Z [2022-11-23 01:25:26,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9940439Z [2022-11-23 01:25:26,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9940677Z [2022-11-23 01:25:26,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9940943Z [2022-11-23 01:25:26,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9941252Z [2022-11-23 01:25:26,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9941587Z [2022-11-23 01:25:26,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9941897Z [2022-11-23 01:25:26,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9942276Z [2022-11-23 01:25:26,105] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9942367Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9942459Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9942536Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9942621Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9942713Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9942718Z 
2022-11-23T01:30:19.9942806Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9942901Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9942987Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9943101Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9943178Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9943262Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9943267Z 
2022-11-23T01:30:19.9943350Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9943424Z               24 RETURN_VALUE
2022-11-23T01:30:19.9943484Z  
2022-11-23T01:30:19.9943489Z 
2022-11-23T01:30:19.9943801Z [2022-11-23 01:25:26,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9944011Z [2022-11-23 01:25:26,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9944257Z [2022-11-23 01:25:26,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9944520Z [2022-11-23 01:25:26,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9944783Z [2022-11-23 01:25:26,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9945017Z [2022-11-23 01:25:26,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9945326Z [2022-11-23 01:25:26,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9945532Z [2022-11-23 01:25:26,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9945780Z [2022-11-23 01:25:26,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9946025Z [2022-11-23 01:25:26,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9946301Z [2022-11-23 01:25:26,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9946612Z [2022-11-23 01:25:26,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9946989Z [2022-11-23 01:25:26,108] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1dda50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108> 
2022-11-23T01:30:19.9947067Z  108           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9947158Z               2 LOAD_METHOD              0 (add)
2022-11-23T01:30:19.9947246Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9947332Z               6 CALL_METHOD              1
2022-11-23T01:30:19.9947407Z               8 RETURN_VALUE
2022-11-23T01:30:19.9947467Z  
2022-11-23T01:30:19.9947472Z 
2022-11-23T01:30:19.9947672Z [2022-11-23 01:25:26,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9947910Z [2022-11-23 01:25:26,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()]
2022-11-23T01:30:19.9948170Z [2022-11-23 01:25:26,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)]
2022-11-23T01:30:19.9948471Z [2022-11-23 01:25:26,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()]
2022-11-23T01:30:19.9948711Z [2022-11-23 01:25:26,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9949093Z [2022-11-23 01:25:26,110] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1dda50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 108>
2022-11-23T01:30:19.9949330Z [2022-11-23 01:25:26,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9949640Z [2022-11-23 01:25:26,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9949877Z [2022-11-23 01:25:26,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9950119Z [2022-11-23 01:25:26,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9950504Z [2022-11-23 01:25:26,110] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9950746Z [2022-11-23 01:25:26,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9950967Z [2022-11-23 01:25:26,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9951218Z [2022-11-23 01:25:26,111] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9951489Z [2022-11-23 01:25:26,118] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9951678Z [2022-11-23 01:25:26,118] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9951810Z  __compiled_fn_237 <eval_with_key>.1943 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9951895Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9951979Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9952100Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9952195Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9952211Z 
2022-11-23T01:30:19.9952521Z [2022-11-23 01:25:26,118] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9952612Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9952704Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9952790Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9952880Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9952963Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9953048Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9953110Z              12 RETURN_VALUE
2022-11-23T01:30:19.9953115Z 
2022-11-23T01:30:19.9953176Z  
2022-11-23T01:30:19.9953495Z [2022-11-23 01:25:26,119] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9953603Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_237)
2022-11-23T01:30:19.9953689Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9953775Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9953937Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9954022Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9954099Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9954171Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9954257Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9954345Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9954418Z              18 RETURN_VALUE
2022-11-23T01:30:19.9954423Z 
2022-11-23T01:30:19.9954482Z  
2022-11-23T01:30:19.9954662Z [2022-11-23 01:25:26,119] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9954718Z  - 
2022-11-23T01:30:19.9954837Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9954900Z             {
2022-11-23T01:30:19.9955038Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9955219Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9955337Z                 'obj_weakref': None
2022-11-23T01:30:19.9955560Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9955613Z             }
2022-11-23T01:30:19.9955675Z             
2022-11-23T01:30:19.9955742Z  - 
2022-11-23T01:30:19.9955862Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9955954Z             {
2022-11-23T01:30:19.9956094Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9956197Z                 'code': None,
2022-11-23T01:30:19.9956395Z                 'obj_weakref': <weakref at 0x7ff5a8500d10; to 'Tensor' at 0x7ff58ffb9ad0>
2022-11-23T01:30:19.9956645Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9956707Z             }
2022-11-23T01:30:19.9956768Z             
2022-11-23T01:30:19.9956835Z  - 
2022-11-23T01:30:19.9956954Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9957014Z             {
2022-11-23T01:30:19.9957143Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9957246Z                 'code': None,
2022-11-23T01:30:19.9957482Z                 'obj_weakref': <weakref at 0x7ff5a8501d00; to 'Tensor' at 0x7ff5a98c6e80>
2022-11-23T01:30:19.9957736Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9957798Z             }
2022-11-23T01:30:19.9957858Z             
2022-11-23T01:30:19.9957923Z  - 
2022-11-23T01:30:19.9958030Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9958091Z             {
2022-11-23T01:30:19.9958223Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9958392Z                 'code': ['___check_obj_id(model, 140693063387408)'],
2022-11-23T01:30:19.9958589Z                 'obj_weakref': <weakref at 0x7ff5a8540e00; to 'M' at 0x7ff5a810c910>
2022-11-23T01:30:19.9958800Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9958862Z             }
2022-11-23T01:30:19.9958912Z             
2022-11-23T01:30:19.9958978Z  - 
2022-11-23T01:30:19.9959100Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9959161Z             {
2022-11-23T01:30:19.9959292Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9959508Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9959624Z                 'obj_weakref': None
2022-11-23T01:30:19.9959830Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9959889Z             }
2022-11-23T01:30:19.9959949Z             
2022-11-23T01:30:19.9960019Z  - 
2022-11-23T01:30:19.9960171Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9960232Z             {
2022-11-23T01:30:19.9960348Z                 'guard_types': None,
2022-11-23T01:30:19.9960440Z                 'code': None,
2022-11-23T01:30:19.9960553Z                 'obj_weakref': None
2022-11-23T01:30:19.9960673Z                 'guarded_class': None
2022-11-23T01:30:19.9960735Z             }
2022-11-23T01:30:19.9960797Z             
2022-11-23T01:30:19.9960863Z  - 
2022-11-23T01:30:19.9961026Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9961076Z             {
2022-11-23T01:30:19.9961193Z                 'guard_types': None,
2022-11-23T01:30:19.9961299Z                 'code': None,
2022-11-23T01:30:19.9961415Z                 'obj_weakref': None
2022-11-23T01:30:19.9961532Z                 'guarded_class': None
2022-11-23T01:30:19.9961590Z             }
2022-11-23T01:30:19.9961639Z             
2022-11-23T01:30:19.9961897Z [2022-11-23 01:25:26,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 230
2022-11-23T01:30:19.9962262Z [2022-11-23 01:25:26,131] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py
2022-11-23T01:30:19.9962524Z [2022-11-23 01:25:26,131] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 230
2022-11-23T01:30:19.9962760Z [2022-11-23 01:25:26,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9963100Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9963316Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9963552Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9963814Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9964122Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9964443Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9964782Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9965160Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9965252Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9965343Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9965431Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9965517Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9965606Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9965612Z 
2022-11-23T01:30:19.9965703Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9965786Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9965874Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9965959Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9966046Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9966132Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9966137Z 
2022-11-23T01:30:19.9966221Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9966295Z               24 RETURN_VALUE
2022-11-23T01:30:19.9966342Z  
2022-11-23T01:30:19.9966347Z 
2022-11-23T01:30:19.9966660Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9966868Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9967115Z [2022-11-23 01:25:26,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9967352Z [2022-11-23 01:25:26,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9967629Z [2022-11-23 01:25:26,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9967865Z [2022-11-23 01:25:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9968175Z [2022-11-23 01:25:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9968384Z [2022-11-23 01:25:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9968634Z [2022-11-23 01:25:26,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9968869Z [2022-11-23 01:25:26,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9969141Z [2022-11-23 01:25:26,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9969492Z [2022-11-23 01:25:26,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9969871Z [2022-11-23 01:25:26,144] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 
2022-11-23T01:30:19.9969960Z  109           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9970051Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:30:19.9970137Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9970221Z               6 CALL_METHOD              1
2022-11-23T01:30:19.9970283Z               8 RETURN_VALUE
2022-11-23T01:30:19.9970341Z  
2022-11-23T01:30:19.9970346Z 
2022-11-23T01:30:19.9970551Z [2022-11-23 01:25:26,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9970822Z [2022-11-23 01:25:26,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:30:19.9971092Z [2022-11-23 01:25:26,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:30:19.9971397Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:30:19.9971639Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9972024Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109>
2022-11-23T01:30:19.9972259Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9972570Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9972767Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9973008Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9973392Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9973637Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9973868Z [2022-11-23 01:25:26,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9974120Z [2022-11-23 01:25:26,146] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9974369Z [2022-11-23 01:25:26,158] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9974557Z [2022-11-23 01:25:26,158] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9974692Z  __compiled_fn_238 <eval_with_key>.1954 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9974769Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9974855Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9974978Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9975086Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9975091Z 
2022-11-23T01:30:19.9975416Z [2022-11-23 01:25:26,159] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9975509Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9975600Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9975688Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9975767Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9975882Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9975972Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9976046Z              12 RETURN_VALUE
2022-11-23T01:30:19.9976051Z 
2022-11-23T01:30:19.9976113Z  
2022-11-23T01:30:19.9976547Z [2022-11-23 01:25:26,159] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9976654Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_238)
2022-11-23T01:30:19.9976745Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9976820Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9976895Z               6 BINARY_SUBSCR
2022-11-23T01:30:19.9976984Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9977071Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:19.9977196Z              12 BINARY_SUBSCR
2022-11-23T01:30:19.9977284Z              14 CALL_FUNCTION            2
2022-11-23T01:30:19.9977376Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:19.9977439Z              18 RETURN_VALUE
2022-11-23T01:30:19.9977444Z 
2022-11-23T01:30:19.9977506Z  
2022-11-23T01:30:19.9977687Z [2022-11-23 01:25:26,159] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:19.9977755Z  - 
2022-11-23T01:30:19.9977876Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:19.9977940Z             {
2022-11-23T01:30:19.9978080Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:19.9978254Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:19.9978374Z                 'obj_weakref': None
2022-11-23T01:30:19.9978600Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:19.9978664Z             }
2022-11-23T01:30:19.9978730Z             
2022-11-23T01:30:19.9978797Z  - 
2022-11-23T01:30:19.9978919Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:19.9978969Z             {
2022-11-23T01:30:19.9979111Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9979217Z                 'code': None,
2022-11-23T01:30:19.9979429Z                 'obj_weakref': <weakref at 0x7ff5a865aca0; to 'Tensor' at 0x7ff58fe053f0>
2022-11-23T01:30:19.9979682Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9979745Z             }
2022-11-23T01:30:19.9979809Z             
2022-11-23T01:30:19.9979864Z  - 
2022-11-23T01:30:19.9979984Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:19.9980044Z             {
2022-11-23T01:30:19.9980183Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:19.9980288Z                 'code': None,
2022-11-23T01:30:19.9980494Z                 'obj_weakref': <weakref at 0x7ff5a8659850; to 'Tensor' at 0x7ff5a83935b0>
2022-11-23T01:30:19.9980745Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:19.9980798Z             }
2022-11-23T01:30:19.9980862Z             
2022-11-23T01:30:19.9980928Z  - 
2022-11-23T01:30:19.9981044Z             local 'model' NN_MODULE
2022-11-23T01:30:19.9981107Z             {
2022-11-23T01:30:19.9981241Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:19.9981408Z                 'code': ['___check_obj_id(model, 140692652728160)'],
2022-11-23T01:30:19.9981597Z                 'obj_weakref': <weakref at 0x7ff5a8502d40; to 'M' at 0x7ff58f969f60>
2022-11-23T01:30:19.9981812Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:19.9981875Z             }
2022-11-23T01:30:19.9981940Z             
2022-11-23T01:30:19.9982006Z  - 
2022-11-23T01:30:19.9982127Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:19.9982190Z             {
2022-11-23T01:30:19.9982313Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:19.9982567Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:19.9982687Z                 'obj_weakref': None
2022-11-23T01:30:19.9982905Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:19.9982966Z             }
2022-11-23T01:30:19.9983027Z             
2022-11-23T01:30:19.9983093Z  - 
2022-11-23T01:30:19.9983234Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:19.9983298Z             {
2022-11-23T01:30:19.9983415Z                 'guard_types': None,
2022-11-23T01:30:19.9983518Z                 'code': None,
2022-11-23T01:30:19.9983632Z                 'obj_weakref': None
2022-11-23T01:30:19.9983749Z                 'guarded_class': None
2022-11-23T01:30:19.9983810Z             }
2022-11-23T01:30:19.9983859Z             
2022-11-23T01:30:19.9983954Z  - 
2022-11-23T01:30:19.9984119Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:19.9984181Z             {
2022-11-23T01:30:19.9984296Z                 'guard_types': None,
2022-11-23T01:30:19.9984399Z                 'code': None,
2022-11-23T01:30:19.9984502Z                 'obj_weakref': None
2022-11-23T01:30:19.9984618Z                 'guarded_class': None
2022-11-23T01:30:19.9984678Z             }
2022-11-23T01:30:19.9984737Z             
2022-11-23T01:30:19.9984995Z [2022-11-23 01:25:26,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 231
2022-11-23T01:30:19.9985355Z [2022-11-23 01:25:26,172] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py
2022-11-23T01:30:19.9985616Z [2022-11-23 01:25:26,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 231
2022-11-23T01:30:19.9985849Z [2022-11-23 01:25:26,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:19.9986163Z [2022-11-23 01:25:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:19.9986368Z [2022-11-23 01:25:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:19.9986606Z [2022-11-23 01:25:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:19.9986870Z [2022-11-23 01:25:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:19.9987182Z [2022-11-23 01:25:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9987515Z [2022-11-23 01:25:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9987826Z [2022-11-23 01:25:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:19.9988205Z [2022-11-23 01:25:26,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:19.9988296Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9988392Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:19.9988468Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9988553Z                6 CALL_METHOD              1
2022-11-23T01:30:19.9988641Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:19.9988647Z 
2022-11-23T01:30:19.9988737Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:19.9988832Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:19.9988920Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9989003Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:19.9989089Z               18 CALL_METHOD              2
2022-11-23T01:30:19.9989197Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:19.9989202Z 
2022-11-23T01:30:19.9989289Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:19.9989362Z               24 RETURN_VALUE
2022-11-23T01:30:19.9989423Z  
2022-11-23T01:30:19.9989428Z 
2022-11-23T01:30:19.9989739Z [2022-11-23 01:25:26,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:19.9989949Z [2022-11-23 01:25:26,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9990193Z [2022-11-23 01:25:26,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:19.9990435Z [2022-11-23 01:25:26,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:19.9990727Z [2022-11-23 01:25:26,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:19.9990963Z [2022-11-23 01:25:26,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9991277Z [2022-11-23 01:25:26,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:19.9991486Z [2022-11-23 01:25:26,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:19.9991733Z [2022-11-23 01:25:26,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:19.9991980Z [2022-11-23 01:25:26,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:19.9992260Z [2022-11-23 01:25:26,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:19.9992573Z [2022-11-23 01:25:26,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:19.9992953Z [2022-11-23 01:25:26,181] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 
2022-11-23T01:30:19.9993042Z  109           0 LOAD_FAST                0 (x)
2022-11-23T01:30:19.9993122Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:30:19.9993209Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:19.9993296Z               6 CALL_METHOD              1
2022-11-23T01:30:19.9993371Z               8 RETURN_VALUE
2022-11-23T01:30:19.9993431Z  
2022-11-23T01:30:19.9993437Z 
2022-11-23T01:30:19.9993642Z [2022-11-23 01:25:26,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9993951Z [2022-11-23 01:25:26,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:30:19.9994231Z [2022-11-23 01:25:26,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:30:19.9994525Z [2022-11-23 01:25:26,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:30:19.9994769Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9995151Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109>
2022-11-23T01:30:19.9995388Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:19.9995698Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:19.9995907Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:19.9996184Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9996575Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:19.9996814Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:19.9997045Z [2022-11-23 01:25:26,182] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:19.9997285Z [2022-11-23 01:25:26,183] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:19.9997531Z [2022-11-23 01:25:26,192] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:19.9997743Z [2022-11-23 01:25:26,192] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:19.9997878Z  __compiled_fn_239 <eval_with_key>.1965 opcode, name, target, args, kwargs
2022-11-23T01:30:19.9997966Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:19.9998050Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:19.9998169Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:19.9998275Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:19.9998280Z 
2022-11-23T01:30:19.9998593Z [2022-11-23 01:25:26,192] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9998685Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:19.9998772Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9998857Z               4 BUILD_MAP                0
2022-11-23T01:30:19.9998949Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:19.9999032Z               8 DICT_MERGE               1
2022-11-23T01:30:19.9999121Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:19.9999193Z              12 RETURN_VALUE
2022-11-23T01:30:19.9999198Z 
2022-11-23T01:30:19.9999245Z  
2022-11-23T01:30:19.9999564Z [2022-11-23 01:25:26,192] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:19.9999668Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_239)
2022-11-23T01:30:19.9999755Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:19.9999841Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:19.9999917Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0000002Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0000075Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0000151Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0000235Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0000322Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0000395Z              18 RETURN_VALUE
2022-11-23T01:30:20.0000400Z 
2022-11-23T01:30:20.0000458Z  
2022-11-23T01:30:20.0000637Z [2022-11-23 01:25:26,193] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0000705Z  - 
2022-11-23T01:30:20.0000812Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0000873Z             {
2022-11-23T01:30:20.0001012Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0001196Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0001312Z                 'obj_weakref': None
2022-11-23T01:30:20.0001532Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0001594Z             }
2022-11-23T01:30:20.0001645Z             
2022-11-23T01:30:20.0001713Z  - 
2022-11-23T01:30:20.0001834Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0001895Z             {
2022-11-23T01:30:20.0002034Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0002166Z                 'code': None,
2022-11-23T01:30:20.0002375Z                 'obj_weakref': <weakref at 0x7ff5a8501990; to 'Tensor' at 0x7ff58fd522a0>
2022-11-23T01:30:20.0002615Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0002678Z             }
2022-11-23T01:30:20.0002740Z             
2022-11-23T01:30:20.0002807Z  - 
2022-11-23T01:30:20.0002925Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0002984Z             {
2022-11-23T01:30:20.0003125Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0003219Z                 'code': None,
2022-11-23T01:30:20.0003430Z                 'obj_weakref': <weakref at 0x7ff5a80a18f0; to 'Tensor' at 0x7ff58ffbbc40>
2022-11-23T01:30:20.0003711Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0003774Z             }
2022-11-23T01:30:20.0003836Z             
2022-11-23T01:30:20.0003903Z  - 
2022-11-23T01:30:20.0004019Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0004070Z             {
2022-11-23T01:30:20.0004200Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0004365Z                 'code': ['___check_obj_id(model, 140693069575552)'],
2022-11-23T01:30:20.0004564Z                 'obj_weakref': <weakref at 0x7ff5a86c49a0; to 'M' at 0x7ff5a86f3580>
2022-11-23T01:30:20.0004778Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0004838Z             }
2022-11-23T01:30:20.0004898Z             
2022-11-23T01:30:20.0004954Z  - 
2022-11-23T01:30:20.0005076Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0005135Z             {
2022-11-23T01:30:20.0005274Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0005491Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0005609Z                 'obj_weakref': None
2022-11-23T01:30:20.0005824Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0005876Z             }
2022-11-23T01:30:20.0005935Z             
2022-11-23T01:30:20.0006002Z  - 
2022-11-23T01:30:20.0006151Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0006213Z             {
2022-11-23T01:30:20.0006330Z                 'guard_types': None,
2022-11-23T01:30:20.0006433Z                 'code': None,
2022-11-23T01:30:20.0006537Z                 'obj_weakref': None
2022-11-23T01:30:20.0006654Z                 'guarded_class': None
2022-11-23T01:30:20.0006716Z             }
2022-11-23T01:30:20.0006776Z             
2022-11-23T01:30:20.0006841Z  - 
2022-11-23T01:30:20.0007007Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0007061Z             {
2022-11-23T01:30:20.0007176Z                 'guard_types': None,
2022-11-23T01:30:20.0007282Z                 'code': None,
2022-11-23T01:30:20.0007397Z                 'obj_weakref': None
2022-11-23T01:30:20.0007516Z                 'guarded_class': None
2022-11-23T01:30:20.0007576Z             }
2022-11-23T01:30:20.0007638Z             
2022-11-23T01:30:20.0007883Z [2022-11-23 01:25:26,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 232
2022-11-23T01:30:20.0008247Z [2022-11-23 01:25:26,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py
2022-11-23T01:30:20.0008508Z [2022-11-23 01:25:26,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 232
2022-11-23T01:30:20.0008742Z [2022-11-23 01:25:26,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0009057Z [2022-11-23 01:25:26,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0009301Z [2022-11-23 01:25:26,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0009541Z [2022-11-23 01:25:26,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0009809Z [2022-11-23 01:25:26,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0010119Z [2022-11-23 01:25:26,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0010453Z [2022-11-23 01:25:26,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0010749Z [2022-11-23 01:25:26,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0011180Z [2022-11-23 01:25:26,209] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0011273Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0011366Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0011455Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0011542Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0011630Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0011636Z 
2022-11-23T01:30:20.0011726Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0011808Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0011894Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0011981Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0012066Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0012153Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0012158Z 
2022-11-23T01:30:20.0012243Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0012317Z               24 RETURN_VALUE
2022-11-23T01:30:20.0012375Z  
2022-11-23T01:30:20.0012380Z 
2022-11-23T01:30:20.0012682Z [2022-11-23 01:25:26,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0012894Z [2022-11-23 01:25:26,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0013140Z [2022-11-23 01:25:26,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0013381Z [2022-11-23 01:25:26,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0013655Z [2022-11-23 01:25:26,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0013891Z [2022-11-23 01:25:26,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0014203Z [2022-11-23 01:25:26,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0014412Z [2022-11-23 01:25:26,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0014656Z [2022-11-23 01:25:26,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0014904Z [2022-11-23 01:25:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0015167Z [2022-11-23 01:25:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0015477Z [2022-11-23 01:25:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0015890Z [2022-11-23 01:25:26,217] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 
2022-11-23T01:30:20.0015980Z  109           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0016073Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:30:20.0016161Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0016247Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0016320Z               8 RETURN_VALUE
2022-11-23T01:30:20.0016369Z  
2022-11-23T01:30:20.0016374Z 
2022-11-23T01:30:20.0016695Z [2022-11-23 01:25:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0016934Z [2022-11-23 01:25:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:30:20.0017252Z [2022-11-23 01:25:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:30:20.0017560Z [2022-11-23 01:25:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:30:20.0017802Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0018190Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109>
2022-11-23T01:30:20.0018429Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0018744Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0018956Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0019190Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0019573Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0019817Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0020052Z [2022-11-23 01:25:26,218] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0020305Z [2022-11-23 01:25:26,219] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0020554Z [2022-11-23 01:25:26,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0020747Z [2022-11-23 01:25:26,230] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0020885Z  __compiled_fn_240 <eval_with_key>.1976 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0020977Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0021052Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0021171Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0021279Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0021284Z 
2022-11-23T01:30:20.0021610Z [2022-11-23 01:25:26,231] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0021705Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0021795Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0021881Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0021975Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0022048Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0022137Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0022249Z              12 RETURN_VALUE
2022-11-23T01:30:20.0022255Z 
2022-11-23T01:30:20.0022319Z  
2022-11-23T01:30:20.0022642Z [2022-11-23 01:25:26,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0022751Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_240)
2022-11-23T01:30:20.0022842Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0022919Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0022994Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0023081Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0023167Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0023243Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0023358Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0023449Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0023510Z              18 RETURN_VALUE
2022-11-23T01:30:20.0023530Z 
2022-11-23T01:30:20.0023577Z  
2022-11-23T01:30:20.0023760Z [2022-11-23 01:25:26,231] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0023830Z  - 
2022-11-23T01:30:20.0023949Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0024010Z             {
2022-11-23T01:30:20.0024151Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0024323Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0024444Z                 'obj_weakref': None
2022-11-23T01:30:20.0024668Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0024734Z             }
2022-11-23T01:30:20.0024799Z             
2022-11-23T01:30:20.0024865Z  - 
2022-11-23T01:30:20.0024992Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0025043Z             {
2022-11-23T01:30:20.0025188Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0025295Z                 'code': None,
2022-11-23T01:30:20.0025509Z                 'obj_weakref': <weakref at 0x7ff5a80f46d0; to 'Tensor' at 0x7ff58fd098a0>
2022-11-23T01:30:20.0025760Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0025825Z             }
2022-11-23T01:30:20.0025889Z             
2022-11-23T01:30:20.0025946Z  - 
2022-11-23T01:30:20.0026064Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0026126Z             {
2022-11-23T01:30:20.0026267Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0026370Z                 'code': None,
2022-11-23T01:30:20.0026579Z                 'obj_weakref': <weakref at 0x7ff59c1eeb60; to 'Tensor' at 0x7ff5a8503d30>
2022-11-23T01:30:20.0026830Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0026894Z             }
2022-11-23T01:30:20.0026943Z             
2022-11-23T01:30:20.0027009Z  - 
2022-11-23T01:30:20.0027129Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0027188Z             {
2022-11-23T01:30:20.0027319Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0027486Z                 'code': ['___check_obj_id(model, 140692657120656)'],
2022-11-23T01:30:20.0027686Z                 'obj_weakref': <weakref at 0x7ff5a87a38d0; to 'M' at 0x7ff58fd9a590>
2022-11-23T01:30:20.0027889Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0027949Z             }
2022-11-23T01:30:20.0028011Z             
2022-11-23T01:30:20.0028078Z  - 
2022-11-23T01:30:20.0028197Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0028257Z             {
2022-11-23T01:30:20.0028379Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0028597Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0028713Z                 'obj_weakref': None
2022-11-23T01:30:20.0028958Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0029021Z             }
2022-11-23T01:30:20.0029083Z             
2022-11-23T01:30:20.0029150Z  - 
2022-11-23T01:30:20.0029301Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0029352Z             {
2022-11-23T01:30:20.0029468Z                 'guard_types': None,
2022-11-23T01:30:20.0029571Z                 'code': None,
2022-11-23T01:30:20.0029686Z                 'obj_weakref': None
2022-11-23T01:30:20.0029804Z                 'guarded_class': None
2022-11-23T01:30:20.0029864Z             }
2022-11-23T01:30:20.0029914Z             
2022-11-23T01:30:20.0029979Z  - 
2022-11-23T01:30:20.0030145Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0030236Z             {
2022-11-23T01:30:20.0030352Z                 'guard_types': None,
2022-11-23T01:30:20.0030456Z                 'code': None,
2022-11-23T01:30:20.0030573Z                 'obj_weakref': None
2022-11-23T01:30:20.0030680Z                 'guarded_class': None
2022-11-23T01:30:20.0030740Z             }
2022-11-23T01:30:20.0030800Z             
2022-11-23T01:30:20.0031059Z [2022-11-23 01:25:26,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 233
2022-11-23T01:30:20.0031066Z 
2022-11-23T01:30:20.0031157Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0031224Z import torch
2022-11-23T01:30:20.0031289Z import random
2022-11-23T01:30:20.0031390Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0031509Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0031514Z 
2022-11-23T01:30:20.0031592Z aten = torch.ops.aten
2022-11-23T01:30:20.0031723Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0031816Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0031821Z 
2022-11-23T01:30:20.0031825Z 
2022-11-23T01:30:20.0031912Z async_compile.wait(globals())
2022-11-23T01:30:20.0031984Z del async_compile
2022-11-23T01:30:20.0031989Z 
2022-11-23T01:30:20.0032058Z def call(args):
2022-11-23T01:30:20.0032128Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0032197Z     args.clear()
2022-11-23T01:30:20.0032421Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2022-11-23T01:30:20.0032490Z     del arg0_1
2022-11-23T01:30:20.0032555Z     del arg1_1
2022-11-23T01:30:20.0032619Z     del arg2_1
2022-11-23T01:30:20.0032689Z     return (buf0, )
2022-11-23T01:30:20.0032694Z 
2022-11-23T01:30:20.0032698Z 
2022-11-23T01:30:20.0032771Z if __name__ == "__main__":
2022-11-23T01:30:20.0032871Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0032988Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0033196Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0033396Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0033593Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0033715Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0033720Z 
2022-11-23T01:30:20.0033725Z 
2022-11-23T01:30:20.0033895Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0033967Z import torch
2022-11-23T01:30:20.0034025Z import random
2022-11-23T01:30:20.0034137Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0034257Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0034261Z 
2022-11-23T01:30:20.0034338Z aten = torch.ops.aten
2022-11-23T01:30:20.0034468Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0034558Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0034565Z 
2022-11-23T01:30:20.0034569Z 
2022-11-23T01:30:20.0034655Z async_compile.wait(globals())
2022-11-23T01:30:20.0034714Z del async_compile
2022-11-23T01:30:20.0034731Z 
2022-11-23T01:30:20.0034823Z def call(args):
2022-11-23T01:30:20.0034913Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0034984Z     args.clear()
2022-11-23T01:30:20.0035212Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2022-11-23T01:30:20.0035279Z     del arg0_1
2022-11-23T01:30:20.0035342Z     del arg1_1
2022-11-23T01:30:20.0035406Z     del arg2_1
2022-11-23T01:30:20.0035459Z     del arg3_1
2022-11-23T01:30:20.0035527Z     return (buf0, )
2022-11-23T01:30:20.0035532Z 
2022-11-23T01:30:20.0035536Z 
2022-11-23T01:30:20.0035610Z if __name__ == "__main__":
2022-11-23T01:30:20.0035722Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0035841Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0036041Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0036262Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0036457Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0036658Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0036783Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0036788Z 
2022-11-23T01:30:20.0036792Z 
2022-11-23T01:30:20.0036881Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0036949Z import torch
2022-11-23T01:30:20.0037017Z import random
2022-11-23T01:30:20.0037128Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0037246Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0037250Z 
2022-11-23T01:30:20.0037314Z aten = torch.ops.aten
2022-11-23T01:30:20.0037444Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0037536Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0037540Z 
2022-11-23T01:30:20.0037545Z 
2022-11-23T01:30:20.0037630Z async_compile.wait(globals())
2022-11-23T01:30:20.0037757Z del async_compile
2022-11-23T01:30:20.0037761Z 
2022-11-23T01:30:20.0037829Z def call(args):
2022-11-23T01:30:20.0037908Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0037975Z     args.clear()
2022-11-23T01:30:20.0038185Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2022-11-23T01:30:20.0038250Z     del arg0_1
2022-11-23T01:30:20.0038314Z     del arg1_1
2022-11-23T01:30:20.0038379Z     del arg2_1
2022-11-23T01:30:20.0038448Z     return (buf0, )
2022-11-23T01:30:20.0038453Z 
2022-11-23T01:30:20.0038457Z 
2022-11-23T01:30:20.0038530Z if __name__ == "__main__":
2022-11-23T01:30:20.0038640Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0038747Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0038947Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0039148Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0039354Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0039473Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0039478Z 
2022-11-23T01:30:20.0039482Z 
2022-11-23T01:30:20.0039572Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0039641Z import torch
2022-11-23T01:30:20.0039709Z import random
2022-11-23T01:30:20.0039810Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0039928Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0039932Z 
2022-11-23T01:30:20.0040007Z aten = torch.ops.aten
2022-11-23T01:30:20.0040137Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0040227Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0040234Z 
2022-11-23T01:30:20.0040238Z 
2022-11-23T01:30:20.0040323Z async_compile.wait(globals())
2022-11-23T01:30:20.0040393Z del async_compile
2022-11-23T01:30:20.0040397Z 
2022-11-23T01:30:20.0040491Z def call(args):
2022-11-23T01:30:20.0040579Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0040638Z     args.clear()
2022-11-23T01:30:20.0040865Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2022-11-23T01:30:20.0040934Z     del arg0_1
2022-11-23T01:30:20.0040999Z     del arg1_1
2022-11-23T01:30:20.0041063Z     del arg2_1
2022-11-23T01:30:20.0041127Z     del arg3_1
2022-11-23T01:30:20.0041185Z     return (buf0, )
2022-11-23T01:30:20.0041200Z 
2022-11-23T01:30:20.0041204Z 
2022-11-23T01:30:20.0041266Z if __name__ == "__main__":
2022-11-23T01:30:20.0041376Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0041495Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0041690Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0041911Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0042111Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0042306Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0042420Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0042437Z 
2022-11-23T01:30:20.0042442Z 
2022-11-23T01:30:20.0042522Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0042589Z import torch
2022-11-23T01:30:20.0042657Z import random
2022-11-23T01:30:20.0042768Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0042884Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0042888Z 
2022-11-23T01:30:20.0042964Z aten = torch.ops.aten
2022-11-23T01:30:20.0043092Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0043173Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0043188Z 
2022-11-23T01:30:20.0043192Z 
2022-11-23T01:30:20.0043266Z async_compile.wait(globals())
2022-11-23T01:30:20.0043339Z del async_compile
2022-11-23T01:30:20.0043343Z 
2022-11-23T01:30:20.0043410Z def call(args):
2022-11-23T01:30:20.0043489Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0043559Z     args.clear()
2022-11-23T01:30:20.0043782Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2022-11-23T01:30:20.0043847Z     del arg0_1
2022-11-23T01:30:20.0043900Z     del arg1_1
2022-11-23T01:30:20.0043965Z     del arg2_1
2022-11-23T01:30:20.0044035Z     return (buf0, )
2022-11-23T01:30:20.0044040Z 
2022-11-23T01:30:20.0044044Z 
2022-11-23T01:30:20.0044116Z if __name__ == "__main__":
2022-11-23T01:30:20.0044226Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0044343Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0044546Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0044739Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0044924Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0045043Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0045048Z 
2022-11-23T01:30:20.0045053Z 
2022-11-23T01:30:20.0045144Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0045212Z import torch
2022-11-23T01:30:20.0045280Z import random
2022-11-23T01:30:20.0045390Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0045536Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0045540Z 
2022-11-23T01:30:20.0045616Z aten = torch.ops.aten
2022-11-23T01:30:20.0045734Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0045822Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0045829Z 
2022-11-23T01:30:20.0045833Z 
2022-11-23T01:30:20.0045919Z async_compile.wait(globals())
2022-11-23T01:30:20.0045989Z del async_compile
2022-11-23T01:30:20.0045994Z 
2022-11-23T01:30:20.0046088Z def call(args):
2022-11-23T01:30:20.0046176Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0046243Z     args.clear()
2022-11-23T01:30:20.0046452Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2022-11-23T01:30:20.0046517Z     del arg0_1
2022-11-23T01:30:20.0046582Z     del arg1_1
2022-11-23T01:30:20.0046646Z     del arg2_1
2022-11-23T01:30:20.0046709Z     del arg3_1
2022-11-23T01:30:20.0046778Z     return (buf0, )
2022-11-23T01:30:20.0046783Z 
2022-11-23T01:30:20.0046787Z 
2022-11-23T01:30:20.0046860Z if __name__ == "__main__":
2022-11-23T01:30:20.0046970Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0047078Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0047276Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0047499Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0047705Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0047906Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0048032Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0048037Z 
2022-11-23T01:30:20.0048041Z 
2022-11-23T01:30:20.0048132Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0048200Z import torch
2022-11-23T01:30:20.0048256Z import random
2022-11-23T01:30:20.0048368Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0048482Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0048487Z 
2022-11-23T01:30:20.0048562Z aten = torch.ops.aten
2022-11-23T01:30:20.0048691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0048781Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0048786Z 
2022-11-23T01:30:20.0048790Z 
2022-11-23T01:30:20.0048875Z async_compile.wait(globals())
2022-11-23T01:30:20.0048946Z del async_compile
2022-11-23T01:30:20.0048951Z 
2022-11-23T01:30:20.0049008Z def call(args):
2022-11-23T01:30:20.0049086Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0049157Z     args.clear()
2022-11-23T01:30:20.0049377Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2022-11-23T01:30:20.0049442Z     del arg0_1
2022-11-23T01:30:20.0049507Z     del arg1_1
2022-11-23T01:30:20.0049571Z     del arg2_1
2022-11-23T01:30:20.0049628Z     return (buf0, )
2022-11-23T01:30:20.0049633Z 
2022-11-23T01:30:20.0049637Z 
2022-11-23T01:30:20.0049709Z if __name__ == "__main__":
2022-11-23T01:30:20.0049819Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0049940Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0050138Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0050341Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0050546Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0050665Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0050669Z 
2022-11-23T01:30:20.0051022Z [2022-11-23 01:25:26,244] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py
2022-11-23T01:30:20.0051286Z [2022-11-23 01:25:26,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 233
2022-11-23T01:30:20.0051520Z [2022-11-23 01:25:26,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0051830Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0052048Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0052311Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0052577Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0052893Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0053232Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0053544Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0053960Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0054044Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0054140Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0054230Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0054319Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0054410Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0054415Z 
2022-11-23T01:30:20.0054507Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0054602Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0054678Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0054767Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0054856Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0054947Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0054951Z 
2022-11-23T01:30:20.0055037Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0055114Z               24 RETURN_VALUE
2022-11-23T01:30:20.0055175Z  
2022-11-23T01:30:20.0055180Z 
2022-11-23T01:30:20.0055494Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0055694Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0055942Z [2022-11-23 01:25:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0056182Z [2022-11-23 01:25:26,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0056550Z [2022-11-23 01:25:26,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0056787Z [2022-11-23 01:25:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0057100Z [2022-11-23 01:25:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0057310Z [2022-11-23 01:25:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0057559Z [2022-11-23 01:25:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0057807Z [2022-11-23 01:25:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0058082Z [2022-11-23 01:25:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0058384Z [2022-11-23 01:25:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0058822Z [2022-11-23 01:25:26,251] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109> 
2022-11-23T01:30:20.0058911Z  109           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0059006Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:30:20.0059096Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0059184Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0059261Z               8 RETURN_VALUE
2022-11-23T01:30:20.0059321Z  
2022-11-23T01:30:20.0059327Z 
2022-11-23T01:30:20.0059522Z [2022-11-23 01:25:26,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0059762Z [2022-11-23 01:25:26,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:30:20.0060035Z [2022-11-23 01:25:26,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:30:20.0060376Z [2022-11-23 01:25:26,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:30:20.0060620Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0061007Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddb00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 109>
2022-11-23T01:30:20.0061248Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0061563Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0061772Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0062020Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0062394Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0062640Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0062872Z [2022-11-23 01:25:26,253] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0063124Z [2022-11-23 01:25:26,254] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0063370Z [2022-11-23 01:25:26,261] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0063559Z [2022-11-23 01:25:26,261] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0063694Z  __compiled_fn_241 <eval_with_key>.1987 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0063779Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0063868Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0063978Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0064085Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0064090Z 
2022-11-23T01:30:20.0064412Z [2022-11-23 01:25:26,261] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0064504Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0064593Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0064677Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0064767Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0064840Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0064926Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0065000Z              12 RETURN_VALUE
2022-11-23T01:30:20.0065005Z 
2022-11-23T01:30:20.0065065Z  
2022-11-23T01:30:20.0065413Z [2022-11-23 01:25:26,261] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0065519Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_241)
2022-11-23T01:30:20.0065608Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0065695Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0065758Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0065847Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0065936Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0066010Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0066095Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0066183Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0066281Z              18 RETURN_VALUE
2022-11-23T01:30:20.0066287Z 
2022-11-23T01:30:20.0066334Z  
2022-11-23T01:30:20.0066515Z [2022-11-23 01:25:26,262] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0066583Z  - 
2022-11-23T01:30:20.0066699Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0066762Z             {
2022-11-23T01:30:20.0066900Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0067079Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0071552Z                 'obj_weakref': None
2022-11-23T01:30:20.0071823Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0071891Z             }
2022-11-23T01:30:20.0071956Z             
2022-11-23T01:30:20.0072013Z  - 
2022-11-23T01:30:20.0072144Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0072208Z             {
2022-11-23T01:30:20.0072353Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0072467Z                 'code': None,
2022-11-23T01:30:20.0072686Z                 'obj_weakref': <weakref at 0x7ff5a8c122a0; to 'Tensor' at 0x7ff5a84c3dd0>
2022-11-23T01:30:20.0072942Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0072994Z             }
2022-11-23T01:30:20.0073058Z             
2022-11-23T01:30:20.0073128Z  - 
2022-11-23T01:30:20.0073252Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0073316Z             {
2022-11-23T01:30:20.0073458Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0073569Z                 'code': None,
2022-11-23T01:30:20.0073769Z                 'obj_weakref': <weakref at 0x7ff5a8c11c60; to 'Tensor' at 0x7ff59c206f70>
2022-11-23T01:30:20.0074114Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0074178Z             }
2022-11-23T01:30:20.0074246Z             
2022-11-23T01:30:20.0074316Z  - 
2022-11-23T01:30:20.0074439Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0074503Z             {
2022-11-23T01:30:20.0074626Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0074797Z                 'code': ['___check_obj_id(model, 140693155816944)'],
2022-11-23T01:30:20.0075001Z                 'obj_weakref': <weakref at 0x7ff5a87f2390; to 'M' at 0x7ff5ad9325f0>
2022-11-23T01:30:20.0075219Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0075282Z             }
2022-11-23T01:30:20.0075344Z             
2022-11-23T01:30:20.0075412Z  - 
2022-11-23T01:30:20.0075521Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0075588Z             {
2022-11-23T01:30:20.0075723Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0075944Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0076066Z                 'obj_weakref': None
2022-11-23T01:30:20.0076287Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0076425Z             }
2022-11-23T01:30:20.0076475Z             
2022-11-23T01:30:20.0076543Z  - 
2022-11-23T01:30:20.0076699Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0076764Z             {
2022-11-23T01:30:20.0076884Z                 'guard_types': None,
2022-11-23T01:30:20.0076990Z                 'code': None,
2022-11-23T01:30:20.0077106Z                 'obj_weakref': None
2022-11-23T01:30:20.0077213Z                 'guarded_class': None
2022-11-23T01:30:20.0077277Z             }
2022-11-23T01:30:20.0077343Z             
2022-11-23T01:30:20.0077413Z  - 
2022-11-23T01:30:20.0077582Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0077646Z             {
2022-11-23T01:30:20.0077764Z                 'guard_types': None,
2022-11-23T01:30:20.0077892Z                 'code': None,
2022-11-23T01:30:20.0078008Z                 'obj_weakref': None
2022-11-23T01:30:20.0078130Z                 'guarded_class': None
2022-11-23T01:30:20.0078194Z             }
2022-11-23T01:30:20.0078259Z             
2022-11-23T01:30:20.0078527Z [2022-11-23 01:25:26,272] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 234
2022-11-23T01:30:20.0078897Z [2022-11-23 01:25:26,273] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py
2022-11-23T01:30:20.0079151Z [2022-11-23 01:25:26,274] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 234
2022-11-23T01:30:20.0079388Z [2022-11-23 01:25:26,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0079702Z [2022-11-23 01:25:26,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0079925Z [2022-11-23 01:25:26,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0080171Z [2022-11-23 01:25:26,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0080436Z [2022-11-23 01:25:26,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0080748Z [2022-11-23 01:25:26,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0081086Z [2022-11-23 01:25:26,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0081395Z [2022-11-23 01:25:26,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0081775Z [2022-11-23 01:25:26,278] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0081874Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0081958Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0082049Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0082138Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0082227Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0082235Z 
2022-11-23T01:30:20.0082326Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0082424Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0082511Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0082586Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0082675Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0082765Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0082771Z 
2022-11-23T01:30:20.0082855Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0082932Z               24 RETURN_VALUE
2022-11-23T01:30:20.0083020Z  
2022-11-23T01:30:20.0083026Z 
2022-11-23T01:30:20.0083343Z [2022-11-23 01:25:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0083555Z [2022-11-23 01:25:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0083792Z [2022-11-23 01:25:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0084033Z [2022-11-23 01:25:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0084307Z [2022-11-23 01:25:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0084546Z [2022-11-23 01:25:26,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0084891Z [2022-11-23 01:25:26,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0085103Z [2022-11-23 01:25:26,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0085355Z [2022-11-23 01:25:26,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0085603Z [2022-11-23 01:25:26,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0085879Z [2022-11-23 01:25:26,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0086192Z [2022-11-23 01:25:26,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0086561Z [2022-11-23 01:25:26,287] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddbb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 
2022-11-23T01:30:20.0086659Z  110           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.0086753Z               2 LOAD_METHOD              1 (sub)
2022-11-23T01:30:20.0086844Z               4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0086933Z               6 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0087018Z               8 CALL_METHOD              2
2022-11-23T01:30:20.0087095Z              10 RETURN_VALUE
2022-11-23T01:30:20.0087143Z  
2022-11-23T01:30:20.0087160Z 
2022-11-23T01:30:20.0087366Z [2022-11-23 01:25:26,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.0087730Z [2022-11-23 01:25:26,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.0088050Z [2022-11-23 01:25:26,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.0088390Z [2022-11-23 01:25:26,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.0088764Z [2022-11-23 01:25:26,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0089006Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0089391Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddbb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110>
2022-11-23T01:30:20.0089629Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0089972Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0090182Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0090413Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0090794Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0091040Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0091272Z [2022-11-23 01:25:26,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0091551Z [2022-11-23 01:25:26,290] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0091801Z [2022-11-23 01:25:26,302] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0091989Z [2022-11-23 01:25:26,302] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0092125Z  __compiled_fn_242 <eval_with_key>.1998 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0092216Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0092290Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0092409Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0092516Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0092522Z 
2022-11-23T01:30:20.0092848Z [2022-11-23 01:25:26,303] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0092943Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0093034Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0093123Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0093214Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0093286Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0093375Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0093450Z              12 RETURN_VALUE
2022-11-23T01:30:20.0093455Z 
2022-11-23T01:30:20.0093516Z  
2022-11-23T01:30:20.0093838Z [2022-11-23 01:25:26,303] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0093945Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_242)
2022-11-23T01:30:20.0094033Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0094123Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0094189Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0094279Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0094366Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0094444Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0094530Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0094620Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0094695Z              18 RETURN_VALUE
2022-11-23T01:30:20.0094700Z 
2022-11-23T01:30:20.0094748Z  
2022-11-23T01:30:20.0094929Z [2022-11-23 01:25:26,304] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0094999Z  - 
2022-11-23T01:30:20.0095118Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0095183Z             {
2022-11-23T01:30:20.0095324Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0095511Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0095619Z                 'obj_weakref': None
2022-11-23T01:30:20.0095850Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0095915Z             }
2022-11-23T01:30:20.0095977Z             
2022-11-23T01:30:20.0096077Z  - 
2022-11-23T01:30:20.0096203Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0096266Z             {
2022-11-23T01:30:20.0096395Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0096653Z                 'code': None,
2022-11-23T01:30:20.0096867Z                 'obj_weakref': <weakref at 0x7ff58ff013f0; to 'Tensor' at 0x7ff5a979f1a0>
2022-11-23T01:30:20.0097120Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0097183Z             }
2022-11-23T01:30:20.0097246Z             
2022-11-23T01:30:20.0097315Z  - 
2022-11-23T01:30:20.0097425Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0097489Z             {
2022-11-23T01:30:20.0097630Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0097789Z                 'code': None,
2022-11-23T01:30:20.0098003Z                 'obj_weakref': <weakref at 0x7ff58ff00ef0; to 'Tensor' at 0x7ff5a8433d80>
2022-11-23T01:30:20.0098259Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0098324Z             }
2022-11-23T01:30:20.0098374Z             
2022-11-23T01:30:20.0098441Z  - 
2022-11-23T01:30:20.0098562Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0098626Z             {
2022-11-23T01:30:20.0098760Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0098929Z                 'code': ['___check_obj_id(model, 140693064112720)'],
2022-11-23T01:30:20.0099134Z                 'obj_weakref': <weakref at 0x7ff5a98c7c90; to 'M' at 0x7ff5a81bda50>
2022-11-23T01:30:20.0099339Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0099407Z             }
2022-11-23T01:30:20.0099470Z             
2022-11-23T01:30:20.0099540Z  - 
2022-11-23T01:30:20.0099661Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0099725Z             {
2022-11-23T01:30:20.0099863Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0100068Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0100186Z                 'obj_weakref': None
2022-11-23T01:30:20.0100408Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0100471Z             }
2022-11-23T01:30:20.0100533Z             
2022-11-23T01:30:20.0100602Z  - 
2022-11-23T01:30:20.0100735Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.0100785Z             {
2022-11-23T01:30:20.0100904Z                 'guard_types': None,
2022-11-23T01:30:20.0101010Z                 'code': None,
2022-11-23T01:30:20.0101128Z                 'obj_weakref': None
2022-11-23T01:30:20.0101250Z                 'guarded_class': None
2022-11-23T01:30:20.0101313Z             }
2022-11-23T01:30:20.0101374Z             
2022-11-23T01:30:20.0101428Z  - 
2022-11-23T01:30:20.0101583Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0101644Z             {
2022-11-23T01:30:20.0101761Z                 'guard_types': None,
2022-11-23T01:30:20.0101865Z                 'code': None,
2022-11-23T01:30:20.0101980Z                 'obj_weakref': None
2022-11-23T01:30:20.0102100Z                 'guarded_class': None
2022-11-23T01:30:20.0102151Z             }
2022-11-23T01:30:20.0102213Z             
2022-11-23T01:30:20.0102282Z  - 
2022-11-23T01:30:20.0102451Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0102513Z             {
2022-11-23T01:30:20.0102629Z                 'guard_types': None,
2022-11-23T01:30:20.0102722Z                 'code': None,
2022-11-23T01:30:20.0102838Z                 'obj_weakref': None
2022-11-23T01:30:20.0102957Z                 'guarded_class': None
2022-11-23T01:30:20.0103023Z             }
2022-11-23T01:30:20.0103084Z             
2022-11-23T01:30:20.0103383Z [2022-11-23 01:25:26,315] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 235
2022-11-23T01:30:20.0103754Z [2022-11-23 01:25:26,318] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py
2022-11-23T01:30:20.0104019Z [2022-11-23 01:25:26,319] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 235
2022-11-23T01:30:20.0104242Z [2022-11-23 01:25:26,322] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0104552Z [2022-11-23 01:25:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0104769Z [2022-11-23 01:25:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0105037Z [2022-11-23 01:25:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0105304Z [2022-11-23 01:25:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0105614Z [2022-11-23 01:25:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0105948Z [2022-11-23 01:25:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0106260Z [2022-11-23 01:25:26,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0106641Z [2022-11-23 01:25:26,323] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0106738Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0106821Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0106912Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0107000Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0107090Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0107096Z 
2022-11-23T01:30:20.0107189Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0107285Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0107371Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0107446Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0107534Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0107619Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0107623Z 
2022-11-23T01:30:20.0107707Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0107786Z               24 RETURN_VALUE
2022-11-23T01:30:20.0107848Z  
2022-11-23T01:30:20.0107853Z 
2022-11-23T01:30:20.0108172Z [2022-11-23 01:25:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0108387Z [2022-11-23 01:25:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0108637Z [2022-11-23 01:25:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0108866Z [2022-11-23 01:25:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0109141Z [2022-11-23 01:25:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0109379Z [2022-11-23 01:25:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0109689Z [2022-11-23 01:25:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0109941Z [2022-11-23 01:25:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0110193Z [2022-11-23 01:25:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0110443Z [2022-11-23 01:25:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0110718Z [2022-11-23 01:25:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0111032Z [2022-11-23 01:25:26,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0111412Z [2022-11-23 01:25:26,327] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddbb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 
2022-11-23T01:30:20.0111522Z  110           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.0111621Z               2 LOAD_METHOD              1 (sub)
2022-11-23T01:30:20.0111711Z               4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0111803Z               6 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0111890Z               8 CALL_METHOD              2
2022-11-23T01:30:20.0111967Z              10 RETURN_VALUE
2022-11-23T01:30:20.0112027Z  
2022-11-23T01:30:20.0112033Z 
2022-11-23T01:30:20.0112237Z [2022-11-23 01:25:26,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.0112599Z [2022-11-23 01:25:26,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.0112917Z [2022-11-23 01:25:26,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.0113262Z [2022-11-23 01:25:26,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.0113641Z [2022-11-23 01:25:26,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0113961Z [2022-11-23 01:25:26,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0114352Z [2022-11-23 01:25:26,328] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddbb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110>
2022-11-23T01:30:20.0114589Z [2022-11-23 01:25:26,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0114904Z [2022-11-23 01:25:26,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0115114Z [2022-11-23 01:25:26,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0115360Z [2022-11-23 01:25:26,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0115736Z [2022-11-23 01:25:26,329] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0115983Z [2022-11-23 01:25:26,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0116217Z [2022-11-23 01:25:26,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0116470Z [2022-11-23 01:25:26,329] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0116725Z [2022-11-23 01:25:26,338] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0116970Z [2022-11-23 01:25:26,339] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0117106Z  __compiled_fn_243 <eval_with_key>.2009 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0117197Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0117284Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0117393Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0117502Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0117507Z 
2022-11-23T01:30:20.0117831Z [2022-11-23 01:25:26,339] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0117925Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0118015Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0118134Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0118225Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0118313Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0118389Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0118465Z              12 RETURN_VALUE
2022-11-23T01:30:20.0118470Z 
2022-11-23T01:30:20.0118533Z  
2022-11-23T01:30:20.0118854Z [2022-11-23 01:25:26,339] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0118959Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_243)
2022-11-23T01:30:20.0119055Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0119144Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0119208Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0119295Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0119385Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0119461Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0119547Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0119638Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0119712Z              18 RETURN_VALUE
2022-11-23T01:30:20.0119716Z 
2022-11-23T01:30:20.0119763Z  
2022-11-23T01:30:20.0119944Z [2022-11-23 01:25:26,340] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0120012Z  - 
2022-11-23T01:30:20.0120132Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0120196Z             {
2022-11-23T01:30:20.0120334Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0120522Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0120627Z                 'obj_weakref': None
2022-11-23T01:30:20.0120852Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0120918Z             }
2022-11-23T01:30:20.0120982Z             
2022-11-23T01:30:20.0121050Z  - 
2022-11-23T01:30:20.0121173Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0121237Z             {
2022-11-23T01:30:20.0121367Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0121475Z                 'code': None,
2022-11-23T01:30:20.0121687Z                 'obj_weakref': <weakref at 0x7ff58fd081d0; to 'Tensor' at 0x7ff5a8c11bc0>
2022-11-23T01:30:20.0121938Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0122002Z             }
2022-11-23T01:30:20.0122065Z             
2022-11-23T01:30:20.0122134Z  - 
2022-11-23T01:30:20.0122243Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0122308Z             {
2022-11-23T01:30:20.0122451Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0122557Z                 'code': None,
2022-11-23T01:30:20.0122768Z                 'obj_weakref': <weakref at 0x7ff5a87f0a40; to 'Tensor' at 0x7ff5a84e1760>
2022-11-23T01:30:20.0123021Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0123113Z             }
2022-11-23T01:30:20.0123181Z             
2022-11-23T01:30:20.0123238Z  - 
2022-11-23T01:30:20.0123359Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0123423Z             {
2022-11-23T01:30:20.0123557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0123725Z                 'code': ['___check_obj_id(model, 140693155814064)'],
2022-11-23T01:30:20.0123929Z                 'obj_weakref': <weakref at 0x7ff5a885a890; to 'M' at 0x7ff5ad931ab0>
2022-11-23T01:30:20.0124145Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0124197Z             }
2022-11-23T01:30:20.0124260Z             
2022-11-23T01:30:20.0124328Z  - 
2022-11-23T01:30:20.0124451Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0124540Z             {
2022-11-23T01:30:20.0124676Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0124883Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0125002Z                 'obj_weakref': None
2022-11-23T01:30:20.0125220Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0125283Z             }
2022-11-23T01:30:20.0125347Z             
2022-11-23T01:30:20.0125415Z  - 
2022-11-23T01:30:20.0125548Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.0125598Z             {
2022-11-23T01:30:20.0125716Z                 'guard_types': None,
2022-11-23T01:30:20.0125821Z                 'code': None,
2022-11-23T01:30:20.0125941Z                 'obj_weakref': None
2022-11-23T01:30:20.0126062Z                 'guarded_class': None
2022-11-23T01:30:20.0126124Z             }
2022-11-23T01:30:20.0126185Z             
2022-11-23T01:30:20.0126243Z  - 
2022-11-23T01:30:20.0126396Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0126457Z             {
2022-11-23T01:30:20.0126578Z                 'guard_types': None,
2022-11-23T01:30:20.0126686Z                 'code': None,
2022-11-23T01:30:20.0126803Z                 'obj_weakref': None
2022-11-23T01:30:20.0126924Z                 'guarded_class': None
2022-11-23T01:30:20.0126974Z             }
2022-11-23T01:30:20.0127035Z             
2022-11-23T01:30:20.0127105Z  - 
2022-11-23T01:30:20.0127274Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0127338Z             {
2022-11-23T01:30:20.0127455Z                 'guard_types': None,
2022-11-23T01:30:20.0127562Z                 'code': None,
2022-11-23T01:30:20.0127665Z                 'obj_weakref': None
2022-11-23T01:30:20.0127784Z                 'guarded_class': None
2022-11-23T01:30:20.0127845Z             }
2022-11-23T01:30:20.0127907Z             
2022-11-23T01:30:20.0128167Z [2022-11-23 01:25:26,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 236
2022-11-23T01:30:20.0128537Z [2022-11-23 01:25:26,352] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py
2022-11-23T01:30:20.0128800Z [2022-11-23 01:25:26,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 236
2022-11-23T01:30:20.0129022Z [2022-11-23 01:25:26,355] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0129337Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0129552Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0129793Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0130063Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0130402Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0130739Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0131050Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0131431Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0131524Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0131633Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0131724Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0131813Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0131906Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0131911Z 
2022-11-23T01:30:20.0132001Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0132096Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0132183Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0132269Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0132345Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0132432Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0132437Z 
2022-11-23T01:30:20.0132521Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0132597Z               24 RETURN_VALUE
2022-11-23T01:30:20.0132656Z  
2022-11-23T01:30:20.0132661Z 
2022-11-23T01:30:20.0132977Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0133191Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0133440Z [2022-11-23 01:25:26,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0133670Z [2022-11-23 01:25:26,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0133944Z [2022-11-23 01:25:26,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0134181Z [2022-11-23 01:25:26,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0134490Z [2022-11-23 01:25:26,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0134702Z [2022-11-23 01:25:26,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0134951Z [2022-11-23 01:25:26,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0135200Z [2022-11-23 01:25:26,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0135474Z [2022-11-23 01:25:26,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0135785Z [2022-11-23 01:25:26,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0136163Z [2022-11-23 01:25:26,364] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddbb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 
2022-11-23T01:30:20.0136245Z  110           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.0136340Z               2 LOAD_METHOD              1 (sub)
2022-11-23T01:30:20.0136545Z               4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0136681Z               6 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0136770Z               8 CALL_METHOD              2
2022-11-23T01:30:20.0136847Z              10 RETURN_VALUE
2022-11-23T01:30:20.0136909Z  
2022-11-23T01:30:20.0136914Z 
2022-11-23T01:30:20.0137132Z [2022-11-23 01:25:26,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.0137483Z [2022-11-23 01:25:26,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.0137802Z [2022-11-23 01:25:26,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.0138142Z [2022-11-23 01:25:26,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.0138566Z [2022-11-23 01:25:26,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0138813Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0139199Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddbb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110>
2022-11-23T01:30:20.0139435Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0139746Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0139956Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0140207Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0140595Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0140827Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0141058Z [2022-11-23 01:25:26,366] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0141308Z [2022-11-23 01:25:26,367] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0141553Z [2022-11-23 01:25:26,379] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0141744Z [2022-11-23 01:25:26,380] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0141879Z  __compiled_fn_244 <eval_with_key>.2020 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0141971Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0142058Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0142168Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0142274Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0142280Z 
2022-11-23T01:30:20.0142605Z [2022-11-23 01:25:26,380] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0142698Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0142790Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0142877Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0142968Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0143053Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0143128Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0143230Z              12 RETURN_VALUE
2022-11-23T01:30:20.0143237Z 
2022-11-23T01:30:20.0143300Z  
2022-11-23T01:30:20.0143621Z [2022-11-23 01:25:26,380] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0143727Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_244)
2022-11-23T01:30:20.0143815Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0143904Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0143981Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0144057Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0144144Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0144219Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0144334Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0144425Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0144498Z              18 RETURN_VALUE
2022-11-23T01:30:20.0144503Z 
2022-11-23T01:30:20.0144564Z  
2022-11-23T01:30:20.0144734Z [2022-11-23 01:25:26,381] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0144801Z  - 
2022-11-23T01:30:20.0144920Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0144985Z             {
2022-11-23T01:30:20.0145126Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0145311Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0145431Z                 'obj_weakref': None
2022-11-23T01:30:20.0145644Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0145709Z             }
2022-11-23T01:30:20.0145773Z             
2022-11-23T01:30:20.0145842Z  - 
2022-11-23T01:30:20.0145966Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0146034Z             {
2022-11-23T01:30:20.0146175Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0146269Z                 'code': None,
2022-11-23T01:30:20.0146484Z                 'obj_weakref': <weakref at 0x7ff5a87f0cc0; to 'Tensor' at 0x7ff59c14de90>
2022-11-23T01:30:20.0146738Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0146801Z             }
2022-11-23T01:30:20.0146864Z             
2022-11-23T01:30:20.0146932Z  - 
2022-11-23T01:30:20.0147055Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0147106Z             {
2022-11-23T01:30:20.0147245Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0147351Z                 'code': None,
2022-11-23T01:30:20.0147559Z                 'obj_weakref': <weakref at 0x7ff5a87f0770; to 'Tensor' at 0x7ff5a84e32e0>
2022-11-23T01:30:20.0147810Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0147874Z             }
2022-11-23T01:30:20.0147935Z             
2022-11-23T01:30:20.0147990Z  - 
2022-11-23T01:30:20.0148112Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0148176Z             {
2022-11-23T01:30:20.0148309Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0148479Z                 'code': ['___check_obj_id(model, 140693155810752)'],
2022-11-23T01:30:20.0148682Z                 'obj_weakref': <weakref at 0x7ff5a8233a10; to 'M' at 0x7ff5ad930dc0>
2022-11-23T01:30:20.0148899Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0148949Z             }
2022-11-23T01:30:20.0149011Z             
2022-11-23T01:30:20.0149079Z  - 
2022-11-23T01:30:20.0149200Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0149262Z             {
2022-11-23T01:30:20.0149399Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0149619Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0149725Z                 'obj_weakref': None
2022-11-23T01:30:20.0149972Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0150035Z             }
2022-11-23T01:30:20.0150098Z             
2022-11-23T01:30:20.0150167Z  - 
2022-11-23T01:30:20.0150297Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.0150360Z             {
2022-11-23T01:30:20.0150466Z                 'guard_types': None,
2022-11-23T01:30:20.0150570Z                 'code': None,
2022-11-23T01:30:20.0150686Z                 'obj_weakref': None
2022-11-23T01:30:20.0150809Z                 'guarded_class': None
2022-11-23T01:30:20.0150871Z             }
2022-11-23T01:30:20.0150932Z             
2022-11-23T01:30:20.0150989Z  - 
2022-11-23T01:30:20.0151142Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0151204Z             {
2022-11-23T01:30:20.0151348Z                 'guard_types': None,
2022-11-23T01:30:20.0151453Z                 'code': None,
2022-11-23T01:30:20.0151569Z                 'obj_weakref': None
2022-11-23T01:30:20.0151689Z                 'guarded_class': None
2022-11-23T01:30:20.0151741Z             }
2022-11-23T01:30:20.0151802Z             
2022-11-23T01:30:20.0151869Z  - 
2022-11-23T01:30:20.0152035Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0152099Z             {
2022-11-23T01:30:20.0152216Z                 'guard_types': None,
2022-11-23T01:30:20.0152322Z                 'code': None,
2022-11-23T01:30:20.0152426Z                 'obj_weakref': None
2022-11-23T01:30:20.0152548Z                 'guarded_class': None
2022-11-23T01:30:20.0152611Z             }
2022-11-23T01:30:20.0152674Z             
2022-11-23T01:30:20.0152933Z [2022-11-23 01:25:26,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 237
2022-11-23T01:30:20.0153299Z [2022-11-23 01:25:26,395] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py
2022-11-23T01:30:20.0153565Z [2022-11-23 01:25:26,395] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 237
2022-11-23T01:30:20.0153861Z [2022-11-23 01:25:26,399] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0154170Z [2022-11-23 01:25:26,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0154386Z [2022-11-23 01:25:26,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0154626Z [2022-11-23 01:25:26,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0154892Z [2022-11-23 01:25:26,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0155207Z [2022-11-23 01:25:26,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0155546Z [2022-11-23 01:25:26,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0155861Z [2022-11-23 01:25:26,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0156242Z [2022-11-23 01:25:26,400] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0156337Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0156433Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0156511Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0156601Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0156692Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0156697Z 
2022-11-23T01:30:20.0156834Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0156932Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0157018Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0157105Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0157181Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0157269Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0157274Z 
2022-11-23T01:30:20.0157358Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0157434Z               24 RETURN_VALUE
2022-11-23T01:30:20.0157494Z  
2022-11-23T01:30:20.0157499Z 
2022-11-23T01:30:20.0157816Z [2022-11-23 01:25:26,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0158056Z [2022-11-23 01:25:26,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0158308Z [2022-11-23 01:25:26,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0158549Z [2022-11-23 01:25:26,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0158814Z [2022-11-23 01:25:26,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0159052Z [2022-11-23 01:25:26,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0159363Z [2022-11-23 01:25:26,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0159575Z [2022-11-23 01:25:26,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0159831Z [2022-11-23 01:25:26,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0160084Z [2022-11-23 01:25:26,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0160359Z [2022-11-23 01:25:26,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0160672Z [2022-11-23 01:25:26,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0161053Z [2022-11-23 01:25:26,403] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddbb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110> 
2022-11-23T01:30:20.0161149Z  110           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.0161230Z               2 LOAD_METHOD              1 (sub)
2022-11-23T01:30:20.0161320Z               4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0161409Z               6 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0161498Z               8 CALL_METHOD              2
2022-11-23T01:30:20.0161576Z              10 RETURN_VALUE
2022-11-23T01:30:20.0161637Z  
2022-11-23T01:30:20.0161642Z 
2022-11-23T01:30:20.0161859Z [2022-11-23 01:25:26,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.0162209Z [2022-11-23 01:25:26,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.0162526Z [2022-11-23 01:25:26,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.0162867Z [2022-11-23 01:25:26,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.0163276Z [2022-11-23 01:25:26,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sub of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0163523Z [2022-11-23 01:25:26,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0163908Z [2022-11-23 01:25:26,405] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddbb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 110>
2022-11-23T01:30:20.0164146Z [2022-11-23 01:25:26,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0164460Z [2022-11-23 01:25:26,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0164668Z [2022-11-23 01:25:26,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0164941Z [2022-11-23 01:25:26,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0165326Z [2022-11-23 01:25:26,405] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0165558Z [2022-11-23 01:25:26,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0165793Z [2022-11-23 01:25:26,405] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0166047Z [2022-11-23 01:25:26,406] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0166296Z [2022-11-23 01:25:26,413] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0166485Z [2022-11-23 01:25:26,414] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0166621Z  __compiled_fn_245 <eval_with_key>.2031 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0166710Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0166800Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0166909Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0167014Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0167020Z 
2022-11-23T01:30:20.0167342Z [2022-11-23 01:25:26,414] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0167437Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0167527Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0167615Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0167705Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0167789Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0167864Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0167943Z              12 RETURN_VALUE
2022-11-23T01:30:20.0167947Z 
2022-11-23T01:30:20.0168008Z  
2022-11-23T01:30:20.0168334Z [2022-11-23 01:25:26,414] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0168441Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_245)
2022-11-23T01:30:20.0168529Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0168618Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0168695Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0168770Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0168855Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0168931Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0169019Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0169107Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0169184Z              18 RETURN_VALUE
2022-11-23T01:30:20.0169188Z 
2022-11-23T01:30:20.0169247Z  
2022-11-23T01:30:20.0169416Z [2022-11-23 01:25:26,415] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0169516Z  - 
2022-11-23T01:30:20.0169635Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0169701Z             {
2022-11-23T01:30:20.0169840Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0170027Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0170156Z                 'obj_weakref': None
2022-11-23T01:30:20.0170468Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0170541Z             }
2022-11-23T01:30:20.0170605Z             
2022-11-23T01:30:20.0170676Z  - 
2022-11-23T01:30:20.0170799Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0170863Z             {
2022-11-23T01:30:20.0171006Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0171132Z                 'code': None,
2022-11-23T01:30:20.0171343Z                 'obj_weakref': <weakref at 0x7ff5a85004f0; to 'Tensor' at 0x7ff59c125120>
2022-11-23T01:30:20.0171600Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0171665Z             }
2022-11-23T01:30:20.0171726Z             
2022-11-23T01:30:20.0171795Z  - 
2022-11-23T01:30:20.0171916Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0171966Z             {
2022-11-23T01:30:20.0172106Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0172211Z                 'code': None,
2022-11-23T01:30:20.0172421Z                 'obj_weakref': <weakref at 0x7ff5a87a38d0; to 'Tensor' at 0x7ff5a8433d80>
2022-11-23T01:30:20.0172674Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0172735Z             }
2022-11-23T01:30:20.0172798Z             
2022-11-23T01:30:20.0172857Z  - 
2022-11-23T01:30:20.0172977Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0173041Z             {
2022-11-23T01:30:20.0173176Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0173346Z                 'code': ['___check_obj_id(model, 140693067886848)'],
2022-11-23T01:30:20.0173548Z                 'obj_weakref': <weakref at 0x7ff5a865ad90; to 'M' at 0x7ff5a8557100>
2022-11-23T01:30:20.0173767Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0173832Z             }
2022-11-23T01:30:20.0173883Z             
2022-11-23T01:30:20.0173951Z  - 
2022-11-23T01:30:20.0174072Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0174134Z             {
2022-11-23T01:30:20.0174268Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0174484Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0174590Z                 'obj_weakref': None
2022-11-23T01:30:20.0174814Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0174877Z             }
2022-11-23T01:30:20.0174942Z             
2022-11-23T01:30:20.0175008Z  - 
2022-11-23T01:30:20.0175143Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.0175207Z             {
2022-11-23T01:30:20.0175313Z                 'guard_types': None,
2022-11-23T01:30:20.0175418Z                 'code': None,
2022-11-23T01:30:20.0175536Z                 'obj_weakref': None
2022-11-23T01:30:20.0175656Z                 'guarded_class': None
2022-11-23T01:30:20.0175720Z             }
2022-11-23T01:30:20.0175784Z             
2022-11-23T01:30:20.0175854Z  - 
2022-11-23T01:30:20.0175994Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0176057Z             {
2022-11-23T01:30:20.0176173Z                 'guard_types': None,
2022-11-23T01:30:20.0176280Z                 'code': None,
2022-11-23T01:30:20.0176398Z                 'obj_weakref': None
2022-11-23T01:30:20.0176626Z                 'guarded_class': None
2022-11-23T01:30:20.0176692Z             }
2022-11-23T01:30:20.0176742Z             
2022-11-23T01:30:20.0176860Z  - 
2022-11-23T01:30:20.0177029Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0177092Z             {
2022-11-23T01:30:20.0177210Z                 'guard_types': None,
2022-11-23T01:30:20.0177315Z                 'code': None,
2022-11-23T01:30:20.0177418Z                 'obj_weakref': None
2022-11-23T01:30:20.0177537Z                 'guarded_class': None
2022-11-23T01:30:20.0177599Z             }
2022-11-23T01:30:20.0177664Z             
2022-11-23T01:30:20.0177925Z [2022-11-23 01:25:26,425] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 238
2022-11-23T01:30:20.0178294Z [2022-11-23 01:25:26,428] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py
2022-11-23T01:30:20.0178596Z [2022-11-23 01:25:26,428] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 238
2022-11-23T01:30:20.0178835Z [2022-11-23 01:25:26,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0179138Z [2022-11-23 01:25:26,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0179357Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0179600Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0179865Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0180180Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0180520Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0180832Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0181354Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0181478Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0181614Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0181694Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0181783Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0181874Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0181883Z 
2022-11-23T01:30:20.0181975Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0182070Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0182161Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0182250Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0182337Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0182414Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0182419Z 
2022-11-23T01:30:20.0182506Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0182581Z               24 RETURN_VALUE
2022-11-23T01:30:20.0182642Z  
2022-11-23T01:30:20.0182647Z 
2022-11-23T01:30:20.0182969Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0183182Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0183432Z [2022-11-23 01:25:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0183716Z [2022-11-23 01:25:26,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0183982Z [2022-11-23 01:25:26,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0184217Z [2022-11-23 01:25:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0184529Z [2022-11-23 01:25:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0184739Z [2022-11-23 01:25:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0184987Z [2022-11-23 01:25:26,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0185264Z [2022-11-23 01:25:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0185542Z [2022-11-23 01:25:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0185856Z [2022-11-23 01:25:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0186241Z [2022-11-23 01:25:26,441] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 
2022-11-23T01:30:20.0186333Z  111           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0186414Z               2 LOAD_METHOD              0 (sub)
2022-11-23T01:30:20.0186503Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0186590Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0186666Z               8 RETURN_VALUE
2022-11-23T01:30:20.0186730Z  
2022-11-23T01:30:20.0186736Z 
2022-11-23T01:30:20.0186945Z [2022-11-23 01:25:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0187181Z [2022-11-23 01:25:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()]
2022-11-23T01:30:20.0187457Z [2022-11-23 01:25:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)]
2022-11-23T01:30:20.0187760Z [2022-11-23 01:25:26,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()]
2022-11-23T01:30:20.0188004Z [2022-11-23 01:25:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0188388Z [2022-11-23 01:25:26,442] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111>
2022-11-23T01:30:20.0188627Z [2022-11-23 01:25:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0188940Z [2022-11-23 01:25:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0189134Z [2022-11-23 01:25:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0189378Z [2022-11-23 01:25:26,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0189760Z [2022-11-23 01:25:26,442] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0190003Z [2022-11-23 01:25:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0190236Z [2022-11-23 01:25:26,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0190490Z [2022-11-23 01:25:26,443] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0190764Z [2022-11-23 01:25:26,456] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0190953Z [2022-11-23 01:25:26,456] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0191085Z  __compiled_fn_246 <eval_with_key>.2042 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0191161Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0191246Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0191366Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0191473Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0191478Z 
2022-11-23T01:30:20.0191802Z [2022-11-23 01:25:26,456] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0191922Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0192009Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0192094Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0192173Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0192255Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0192342Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0192419Z              12 RETURN_VALUE
2022-11-23T01:30:20.0192424Z 
2022-11-23T01:30:20.0192486Z  
2022-11-23T01:30:20.0192809Z [2022-11-23 01:25:26,456] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0192915Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_246)
2022-11-23T01:30:20.0193005Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0193082Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0193162Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0193250Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0193340Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0193418Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0193505Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0193598Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0193660Z              18 RETURN_VALUE
2022-11-23T01:30:20.0193665Z 
2022-11-23T01:30:20.0193725Z  
2022-11-23T01:30:20.0193970Z [2022-11-23 01:25:26,457] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0194041Z  - 
2022-11-23T01:30:20.0194161Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0194230Z             {
2022-11-23T01:30:20.0194370Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0194546Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0194664Z                 'obj_weakref': None
2022-11-23T01:30:20.0194891Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0194957Z             }
2022-11-23T01:30:20.0195023Z             
2022-11-23T01:30:20.0195095Z  - 
2022-11-23T01:30:20.0195219Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0195272Z             {
2022-11-23T01:30:20.0195412Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0195519Z                 'code': None,
2022-11-23T01:30:20.0195730Z                 'obj_weakref': <weakref at 0x7ff5a8071f30; to 'Tensor' at 0x7ff59c1262a0>
2022-11-23T01:30:20.0195985Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0196054Z             }
2022-11-23T01:30:20.0196118Z             
2022-11-23T01:30:20.0196173Z  - 
2022-11-23T01:30:20.0196296Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0196363Z             {
2022-11-23T01:30:20.0196505Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0196616Z                 'code': None,
2022-11-23T01:30:20.0196860Z                 'obj_weakref': <weakref at 0x7ff5a816c4f0; to 'Tensor' at 0x7ff5a87f05e0>
2022-11-23T01:30:20.0197115Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0197165Z             }
2022-11-23T01:30:20.0197230Z             
2022-11-23T01:30:20.0197299Z  - 
2022-11-23T01:30:20.0197421Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0197485Z             {
2022-11-23T01:30:20.0197617Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0197785Z                 'code': ['___check_obj_id(model, 140693062921056)'],
2022-11-23T01:30:20.0197976Z                 'obj_weakref': <weakref at 0x7ff5a811cdb0; to 'M' at 0x7ff5a809ab60>
2022-11-23T01:30:20.0198194Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0198287Z             }
2022-11-23T01:30:20.0198354Z             
2022-11-23T01:30:20.0198422Z  - 
2022-11-23T01:30:20.0198547Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0198611Z             {
2022-11-23T01:30:20.0198736Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0198953Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0199072Z                 'obj_weakref': None
2022-11-23T01:30:20.0199291Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0199357Z             }
2022-11-23T01:30:20.0199419Z             
2022-11-23T01:30:20.0199485Z  - 
2022-11-23T01:30:20.0199627Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0199689Z             {
2022-11-23T01:30:20.0199806Z                 'guard_types': None,
2022-11-23T01:30:20.0199909Z                 'code': None,
2022-11-23T01:30:20.0200024Z                 'obj_weakref': None
2022-11-23T01:30:20.0200147Z                 'guarded_class': None
2022-11-23T01:30:20.0200207Z             }
2022-11-23T01:30:20.0200257Z             
2022-11-23T01:30:20.0200323Z  - 
2022-11-23T01:30:20.0200489Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0200551Z             {
2022-11-23T01:30:20.0200665Z                 'guard_types': None,
2022-11-23T01:30:20.0200769Z                 'code': None,
2022-11-23T01:30:20.0200872Z                 'obj_weakref': None
2022-11-23T01:30:20.0200991Z                 'guarded_class': None
2022-11-23T01:30:20.0201052Z             }
2022-11-23T01:30:20.0201113Z             
2022-11-23T01:30:20.0201372Z [2022-11-23 01:25:26,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 239
2022-11-23T01:30:20.0201735Z [2022-11-23 01:25:26,470] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py
2022-11-23T01:30:20.0201996Z [2022-11-23 01:25:26,470] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 239
2022-11-23T01:30:20.0202234Z [2022-11-23 01:25:26,473] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0202536Z [2022-11-23 01:25:26,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0202749Z [2022-11-23 01:25:26,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0202986Z [2022-11-23 01:25:26,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0203252Z [2022-11-23 01:25:26,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0203564Z [2022-11-23 01:25:26,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0203899Z [2022-11-23 01:25:26,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0204249Z [2022-11-23 01:25:26,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0204627Z [2022-11-23 01:25:26,474] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0204719Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0204812Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0204888Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0204975Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0205064Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0205069Z 
2022-11-23T01:30:20.0205187Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0205280Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0205368Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0205454Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0205540Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0205614Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0205619Z 
2022-11-23T01:30:20.0205702Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0205777Z               24 RETURN_VALUE
2022-11-23T01:30:20.0205839Z  
2022-11-23T01:30:20.0205843Z 
2022-11-23T01:30:20.0206157Z [2022-11-23 01:25:26,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0206367Z [2022-11-23 01:25:26,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0206614Z [2022-11-23 01:25:26,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0206859Z [2022-11-23 01:25:26,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0207119Z [2022-11-23 01:25:26,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0207355Z [2022-11-23 01:25:26,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0207662Z [2022-11-23 01:25:26,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0207872Z [2022-11-23 01:25:26,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0208119Z [2022-11-23 01:25:26,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0208364Z [2022-11-23 01:25:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0208646Z [2022-11-23 01:25:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0208957Z [2022-11-23 01:25:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0209336Z [2022-11-23 01:25:26,478] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 
2022-11-23T01:30:20.0209425Z  111           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0209507Z               2 LOAD_METHOD              0 (sub)
2022-11-23T01:30:20.0209594Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0209679Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0209752Z               8 RETURN_VALUE
2022-11-23T01:30:20.0209815Z  
2022-11-23T01:30:20.0209822Z 
2022-11-23T01:30:20.0210028Z [2022-11-23 01:25:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0210291Z [2022-11-23 01:25:26,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()]
2022-11-23T01:30:20.0210560Z [2022-11-23 01:25:26,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)]
2022-11-23T01:30:20.0210854Z [2022-11-23 01:25:26,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()]
2022-11-23T01:30:20.0211096Z [2022-11-23 01:25:26,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0211480Z [2022-11-23 01:25:26,480] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111>
2022-11-23T01:30:20.0211715Z [2022-11-23 01:25:26,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0212057Z [2022-11-23 01:25:26,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0212264Z [2022-11-23 01:25:26,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0212508Z [2022-11-23 01:25:26,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0212890Z [2022-11-23 01:25:26,480] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0213135Z [2022-11-23 01:25:26,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0213368Z [2022-11-23 01:25:26,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0213610Z [2022-11-23 01:25:26,481] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0213855Z [2022-11-23 01:25:26,487] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0214043Z [2022-11-23 01:25:26,487] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0214179Z  __compiled_fn_247 <eval_with_key>.2053 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0214266Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0214351Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0214470Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0214576Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0214582Z 
2022-11-23T01:30:20.0214893Z [2022-11-23 01:25:26,487] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0214986Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0215077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0215160Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0215251Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0215336Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0215422Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0215494Z              12 RETURN_VALUE
2022-11-23T01:30:20.0215499Z 
2022-11-23T01:30:20.0215546Z  
2022-11-23T01:30:20.0215863Z [2022-11-23 01:25:26,487] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0215970Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_247)
2022-11-23T01:30:20.0216059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0216148Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0216222Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0216310Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0216385Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0216576Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0216719Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0216811Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0216885Z              18 RETURN_VALUE
2022-11-23T01:30:20.0216892Z 
2022-11-23T01:30:20.0216953Z  
2022-11-23T01:30:20.0217135Z [2022-11-23 01:25:26,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0217204Z  - 
2022-11-23T01:30:20.0217310Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0217376Z             {
2022-11-23T01:30:20.0217519Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0217704Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0217824Z                 'obj_weakref': None
2022-11-23T01:30:20.0218050Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0218180Z             }
2022-11-23T01:30:20.0218231Z             
2022-11-23T01:30:20.0218300Z  - 
2022-11-23T01:30:20.0218423Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0218486Z             {
2022-11-23T01:30:20.0218627Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0218732Z                 'code': None,
2022-11-23T01:30:20.0218934Z                 'obj_weakref': <weakref at 0x7ff59c1efd80; to 'Tensor' at 0x7ff59c14c400>
2022-11-23T01:30:20.0219186Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0219248Z             }
2022-11-23T01:30:20.0219310Z             
2022-11-23T01:30:20.0219378Z  - 
2022-11-23T01:30:20.0219499Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0219561Z             {
2022-11-23T01:30:20.0219690Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0219799Z                 'code': None,
2022-11-23T01:30:20.0220007Z                 'obj_weakref': <weakref at 0x7ff59c045490; to 'Tensor' at 0x7ff58ff02890>
2022-11-23T01:30:20.0220260Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0220325Z             }
2022-11-23T01:30:20.0220388Z             
2022-11-23T01:30:20.0220455Z  - 
2022-11-23T01:30:20.0220560Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0220623Z             {
2022-11-23T01:30:20.0220756Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0220923Z                 'code': ['___check_obj_id(model, 140693063387840)'],
2022-11-23T01:30:20.0221124Z                 'obj_weakref': <weakref at 0x7ff59c0461b0; to 'M' at 0x7ff5a810cac0>
2022-11-23T01:30:20.0221339Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0221401Z             }
2022-11-23T01:30:20.0221462Z             
2022-11-23T01:30:20.0221520Z  - 
2022-11-23T01:30:20.0221641Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0221703Z             {
2022-11-23T01:30:20.0221840Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0222056Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0222176Z                 'obj_weakref': None
2022-11-23T01:30:20.0222392Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0222442Z             }
2022-11-23T01:30:20.0222503Z             
2022-11-23T01:30:20.0222572Z  - 
2022-11-23T01:30:20.0222724Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0222787Z             {
2022-11-23T01:30:20.0222905Z                 'guard_types': None,
2022-11-23T01:30:20.0222999Z                 'code': None,
2022-11-23T01:30:20.0223114Z                 'obj_weakref': None
2022-11-23T01:30:20.0223233Z                 'guarded_class': None
2022-11-23T01:30:20.0223297Z             }
2022-11-23T01:30:20.0223358Z             
2022-11-23T01:30:20.0223424Z  - 
2022-11-23T01:30:20.0223619Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0223670Z             {
2022-11-23T01:30:20.0223787Z                 'guard_types': None,
2022-11-23T01:30:20.0223889Z                 'code': None,
2022-11-23T01:30:20.0224008Z                 'obj_weakref': None
2022-11-23T01:30:20.0224126Z                 'guarded_class': None
2022-11-23T01:30:20.0224185Z             }
2022-11-23T01:30:20.0224247Z             
2022-11-23T01:30:20.0224493Z [2022-11-23 01:25:26,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 240
2022-11-23T01:30:20.0224499Z 
2022-11-23T01:30:20.0224590Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0224656Z import torch
2022-11-23T01:30:20.0224724Z import random
2022-11-23T01:30:20.0224836Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0224992Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0224997Z 
2022-11-23T01:30:20.0225074Z aten = torch.ops.aten
2022-11-23T01:30:20.0225208Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0225288Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0225292Z 
2022-11-23T01:30:20.0225297Z 
2022-11-23T01:30:20.0225382Z async_compile.wait(globals())
2022-11-23T01:30:20.0225453Z del async_compile
2022-11-23T01:30:20.0225457Z 
2022-11-23T01:30:20.0225526Z def call(args):
2022-11-23T01:30:20.0225614Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0225684Z     args.clear()
2022-11-23T01:30:20.0225911Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add')
2022-11-23T01:30:20.0225967Z     del arg0_1
2022-11-23T01:30:20.0226032Z     del arg1_1
2022-11-23T01:30:20.0226096Z     del arg2_1
2022-11-23T01:30:20.0226162Z     del arg3_1
2022-11-23T01:30:20.0226232Z     return (buf0, )
2022-11-23T01:30:20.0226239Z 
2022-11-23T01:30:20.0226243Z 
2022-11-23T01:30:20.0226318Z if __name__ == "__main__":
2022-11-23T01:30:20.0226430Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0226553Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0226746Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0226941Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0227138Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0227332Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0227458Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0227463Z 
2022-11-23T01:30:20.0227467Z 
2022-11-23T01:30:20.0227560Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0227629Z import torch
2022-11-23T01:30:20.0227700Z import random
2022-11-23T01:30:20.0227805Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0227923Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0227928Z 
2022-11-23T01:30:20.0228006Z aten = torch.ops.aten
2022-11-23T01:30:20.0228138Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0228227Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0228233Z 
2022-11-23T01:30:20.0228237Z 
2022-11-23T01:30:20.0228323Z async_compile.wait(globals())
2022-11-23T01:30:20.0228393Z del async_compile
2022-11-23T01:30:20.0228397Z 
2022-11-23T01:30:20.0228467Z def call(args):
2022-11-23T01:30:20.0228535Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0228605Z     args.clear()
2022-11-23T01:30:20.0228833Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add')
2022-11-23T01:30:20.0228901Z     del arg0_1
2022-11-23T01:30:20.0228968Z     del arg1_1
2022-11-23T01:30:20.0229032Z     del arg2_1
2022-11-23T01:30:20.0229101Z     return (buf0, )
2022-11-23T01:30:20.0229108Z 
2022-11-23T01:30:20.0229112Z 
2022-11-23T01:30:20.0229175Z if __name__ == "__main__":
2022-11-23T01:30:20.0229288Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0229434Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0229635Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0229833Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0230028Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0230147Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0230152Z 
2022-11-23T01:30:20.0230156Z 
2022-11-23T01:30:20.0230247Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0230303Z import torch
2022-11-23T01:30:20.0230373Z import random
2022-11-23T01:30:20.0230484Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0230599Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0230629Z 
2022-11-23T01:30:20.0230705Z aten = torch.ops.aten
2022-11-23T01:30:20.0230840Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0230929Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0230934Z 
2022-11-23T01:30:20.0230938Z 
2022-11-23T01:30:20.0231023Z async_compile.wait(globals())
2022-11-23T01:30:20.0231083Z del async_compile
2022-11-23T01:30:20.0231088Z 
2022-11-23T01:30:20.0231156Z def call(args):
2022-11-23T01:30:20.0231243Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0231315Z     args.clear()
2022-11-23T01:30:20.0231543Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2022-11-23T01:30:20.0231612Z     del arg0_1
2022-11-23T01:30:20.0231681Z     del arg1_1
2022-11-23T01:30:20.0231735Z     del arg2_1
2022-11-23T01:30:20.0231804Z     del arg3_1
2022-11-23T01:30:20.0231876Z     return (buf0, )
2022-11-23T01:30:20.0231881Z 
2022-11-23T01:30:20.0231887Z 
2022-11-23T01:30:20.0231963Z if __name__ == "__main__":
2022-11-23T01:30:20.0232107Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0232294Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0232503Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0232698Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0232893Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0233100Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0233228Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0233233Z 
2022-11-23T01:30:20.0233238Z 
2022-11-23T01:30:20.0233332Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0233403Z import torch
2022-11-23T01:30:20.0233473Z import random
2022-11-23T01:30:20.0233590Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0233711Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0233715Z 
2022-11-23T01:30:20.0233782Z aten = torch.ops.aten
2022-11-23T01:30:20.0233977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0234070Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0234074Z 
2022-11-23T01:30:20.0234079Z 
2022-11-23T01:30:20.0234166Z async_compile.wait(globals())
2022-11-23T01:30:20.0234238Z del async_compile
2022-11-23T01:30:20.0234243Z 
2022-11-23T01:30:20.0234314Z def call(args):
2022-11-23T01:30:20.0234395Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0234465Z     args.clear()
2022-11-23T01:30:20.0234678Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2022-11-23T01:30:20.0234749Z     del arg0_1
2022-11-23T01:30:20.0234816Z     del arg1_1
2022-11-23T01:30:20.0234882Z     del arg2_1
2022-11-23T01:30:20.0234955Z     return (buf0, )
2022-11-23T01:30:20.0234961Z 
2022-11-23T01:30:20.0234965Z 
2022-11-23T01:30:20.0235042Z if __name__ == "__main__":
2022-11-23T01:30:20.0235155Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0235304Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0235505Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0235709Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0235914Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0236036Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0236041Z 
2022-11-23T01:30:20.0236045Z 
2022-11-23T01:30:20.0236140Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0236210Z import torch
2022-11-23T01:30:20.0236281Z import random
2022-11-23T01:30:20.0236383Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0236529Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0236535Z 
2022-11-23T01:30:20.0236612Z aten = torch.ops.aten
2022-11-23T01:30:20.0236747Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0236839Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0236845Z 
2022-11-23T01:30:20.0236849Z 
2022-11-23T01:30:20.0236936Z async_compile.wait(globals())
2022-11-23T01:30:20.0237008Z del async_compile
2022-11-23T01:30:20.0237013Z 
2022-11-23T01:30:20.0237084Z def call(args):
2022-11-23T01:30:20.0237159Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0237230Z     args.clear()
2022-11-23T01:30:20.0237457Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2022-11-23T01:30:20.0237527Z     del arg0_1
2022-11-23T01:30:20.0237596Z     del arg1_1
2022-11-23T01:30:20.0237662Z     del arg2_1
2022-11-23T01:30:20.0237727Z     del arg3_1
2022-11-23T01:30:20.0237786Z     return (buf0, )
2022-11-23T01:30:20.0237793Z 
2022-11-23T01:30:20.0237797Z 
2022-11-23T01:30:20.0237874Z if __name__ == "__main__":
2022-11-23T01:30:20.0237988Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0238109Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0238310Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0238502Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0238699Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0238890Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0239004Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0239009Z 
2022-11-23T01:30:20.0239024Z 
2022-11-23T01:30:20.0239102Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0239170Z import torch
2022-11-23T01:30:20.0239239Z import random
2022-11-23T01:30:20.0239353Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0239469Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0239473Z 
2022-11-23T01:30:20.0239548Z aten = torch.ops.aten
2022-11-23T01:30:20.0239683Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0239762Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0239766Z 
2022-11-23T01:30:20.0239771Z 
2022-11-23T01:30:20.0239856Z async_compile.wait(globals())
2022-11-23T01:30:20.0239927Z del async_compile
2022-11-23T01:30:20.0239932Z 
2022-11-23T01:30:20.0240000Z def call(args):
2022-11-23T01:30:20.0240080Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0240148Z     args.clear()
2022-11-23T01:30:20.0240371Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2022-11-23T01:30:20.0240437Z     del arg0_1
2022-11-23T01:30:20.0240490Z     del arg1_1
2022-11-23T01:30:20.0240555Z     del arg2_1
2022-11-23T01:30:20.0240626Z     return (buf0, )
2022-11-23T01:30:20.0240633Z 
2022-11-23T01:30:20.0240636Z 
2022-11-23T01:30:20.0240711Z if __name__ == "__main__":
2022-11-23T01:30:20.0240822Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0240968Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0241166Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0241350Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0241541Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0241659Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0241664Z 
2022-11-23T01:30:20.0241668Z 
2022-11-23T01:30:20.0241761Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0241830Z import torch
2022-11-23T01:30:20.0241898Z import random
2022-11-23T01:30:20.0242009Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0242124Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0242153Z 
2022-11-23T01:30:20.0242217Z aten = torch.ops.aten
2022-11-23T01:30:20.0242347Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0242438Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0242443Z 
2022-11-23T01:30:20.0242448Z 
2022-11-23T01:30:20.0242536Z async_compile.wait(globals())
2022-11-23T01:30:20.0242607Z del async_compile
2022-11-23T01:30:20.0242611Z 
2022-11-23T01:30:20.0242680Z def call(args):
2022-11-23T01:30:20.0242794Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0242897Z     args.clear()
2022-11-23T01:30:20.0243213Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2022-11-23T01:30:20.0243283Z     del arg0_1
2022-11-23T01:30:20.0243349Z     del arg1_1
2022-11-23T01:30:20.0243414Z     del arg2_1
2022-11-23T01:30:20.0243479Z     del arg3_1
2022-11-23T01:30:20.0243548Z     return (buf0, )
2022-11-23T01:30:20.0243552Z 
2022-11-23T01:30:20.0243560Z 
2022-11-23T01:30:20.0243633Z if __name__ == "__main__":
2022-11-23T01:30:20.0243733Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0243854Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0244058Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0244254Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0244458Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0244661Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0244789Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0244794Z 
2022-11-23T01:30:20.0245165Z [2022-11-23 01:25:26,500] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py
2022-11-23T01:30:20.0245437Z [2022-11-23 01:25:26,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 240
2022-11-23T01:30:20.0245665Z [2022-11-23 01:25:26,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0245978Z [2022-11-23 01:25:26,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0246191Z [2022-11-23 01:25:26,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0246433Z [2022-11-23 01:25:26,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0246698Z [2022-11-23 01:25:26,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0247004Z [2022-11-23 01:25:26,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0247343Z [2022-11-23 01:25:26,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0247706Z [2022-11-23 01:25:26,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0248089Z [2022-11-23 01:25:26,504] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0248182Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0248264Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0248353Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0248439Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0248527Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0248532Z 
2022-11-23T01:30:20.0248649Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0248744Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0248833Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0248908Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0248995Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0249081Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0249085Z 
2022-11-23T01:30:20.0249169Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0249245Z               24 RETURN_VALUE
2022-11-23T01:30:20.0249306Z  
2022-11-23T01:30:20.0249311Z 
2022-11-23T01:30:20.0249623Z [2022-11-23 01:25:26,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0249834Z [2022-11-23 01:25:26,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0250081Z [2022-11-23 01:25:26,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0250315Z [2022-11-23 01:25:26,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0250591Z [2022-11-23 01:25:26,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0250828Z [2022-11-23 01:25:26,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0251140Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0251349Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0251597Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0251846Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0252126Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0252441Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0252808Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 
2022-11-23T01:30:20.0252898Z  111           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0252990Z               2 LOAD_METHOD              0 (sub)
2022-11-23T01:30:20.0253078Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0253165Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0253241Z               8 RETURN_VALUE
2022-11-23T01:30:20.0253303Z  
2022-11-23T01:30:20.0253310Z 
2022-11-23T01:30:20.0253516Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0253770Z [2022-11-23 01:25:26,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()]
2022-11-23T01:30:20.0254044Z [2022-11-23 01:25:26,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)]
2022-11-23T01:30:20.0254349Z [2022-11-23 01:25:26,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()]
2022-11-23T01:30:20.0254591Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0254976Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111>
2022-11-23T01:30:20.0255213Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0255553Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0255760Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0256002Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0256388Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0256726Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0256957Z [2022-11-23 01:25:26,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0257212Z [2022-11-23 01:25:26,516] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0257463Z [2022-11-23 01:25:26,527] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0257650Z [2022-11-23 01:25:26,527] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0257785Z  __compiled_fn_248 <eval_with_key>.2064 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0257875Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0257961Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0258081Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0258176Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0258181Z 
2022-11-23T01:30:20.0258509Z [2022-11-23 01:25:26,528] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0258604Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0258695Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0258783Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0258892Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0259016Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0259125Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0259189Z              12 RETURN_VALUE
2022-11-23T01:30:20.0259195Z 
2022-11-23T01:30:20.0259255Z  
2022-11-23T01:30:20.0259583Z [2022-11-23 01:25:26,528] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0259689Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_248)
2022-11-23T01:30:20.0259777Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0259866Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0259942Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0260020Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0260108Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0260253Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0260345Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0260434Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0260509Z              18 RETURN_VALUE
2022-11-23T01:30:20.0260514Z 
2022-11-23T01:30:20.0260574Z  
2022-11-23T01:30:20.0260743Z [2022-11-23 01:25:26,528] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0260813Z  - 
2022-11-23T01:30:20.0260932Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0260996Z             {
2022-11-23T01:30:20.0261135Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0261321Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0261441Z                 'obj_weakref': None
2022-11-23T01:30:20.0261666Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0261755Z             }
2022-11-23T01:30:20.0261818Z             
2022-11-23T01:30:20.0261887Z  - 
2022-11-23T01:30:20.0262011Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0262075Z             {
2022-11-23T01:30:20.0262216Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0262309Z                 'code': None,
2022-11-23T01:30:20.0262519Z                 'obj_weakref': <weakref at 0x7ff59c0c4d10; to 'Tensor' at 0x7ff5a81e2ca0>
2022-11-23T01:30:20.0262768Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0262831Z             }
2022-11-23T01:30:20.0262893Z             
2022-11-23T01:30:20.0262960Z  - 
2022-11-23T01:30:20.0263082Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0263144Z             {
2022-11-23T01:30:20.0263273Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0263382Z                 'code': None,
2022-11-23T01:30:20.0263590Z                 'obj_weakref': <weakref at 0x7ff59c0c5f30; to 'Tensor' at 0x7ff5a8540b30>
2022-11-23T01:30:20.0263844Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0263907Z             }
2022-11-23T01:30:20.0263969Z             
2022-11-23T01:30:20.0264035Z  - 
2022-11-23T01:30:20.0264141Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0264203Z             {
2022-11-23T01:30:20.0264335Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0264502Z                 'code': ['___check_obj_id(model, 140693063387408)'],
2022-11-23T01:30:20.0264706Z                 'obj_weakref': <weakref at 0x7ff59c0c7fb0; to 'M' at 0x7ff5a810c910>
2022-11-23T01:30:20.0264925Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0264986Z             }
2022-11-23T01:30:20.0265037Z             
2022-11-23T01:30:20.0265105Z  - 
2022-11-23T01:30:20.0265226Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0265288Z             {
2022-11-23T01:30:20.0265424Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0265641Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0265758Z                 'obj_weakref': None
2022-11-23T01:30:20.0265967Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0266028Z             }
2022-11-23T01:30:20.0266093Z             
2022-11-23T01:30:20.0266159Z  - 
2022-11-23T01:30:20.0266313Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0266373Z             {
2022-11-23T01:30:20.0266491Z                 'guard_types': None,
2022-11-23T01:30:20.0266585Z                 'code': None,
2022-11-23T01:30:20.0266700Z                 'obj_weakref': None
2022-11-23T01:30:20.0266820Z                 'guarded_class': None
2022-11-23T01:30:20.0266884Z             }
2022-11-23T01:30:20.0266945Z             
2022-11-23T01:30:20.0267012Z  - 
2022-11-23T01:30:20.0267194Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0267258Z             {
2022-11-23T01:30:20.0267377Z                 'guard_types': None,
2022-11-23T01:30:20.0267482Z                 'code': None,
2022-11-23T01:30:20.0267596Z                 'obj_weakref': None
2022-11-23T01:30:20.0267713Z                 'guarded_class': None
2022-11-23T01:30:20.0267775Z             }
2022-11-23T01:30:20.0267825Z             
2022-11-23T01:30:20.0268084Z [2022-11-23 01:25:26,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 241
2022-11-23T01:30:20.0268446Z [2022-11-23 01:25:26,541] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py
2022-11-23T01:30:20.0268710Z [2022-11-23 01:25:26,541] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 241
2022-11-23T01:30:20.0268970Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0269284Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0269499Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0269740Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0270004Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0270301Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0270636Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0270954Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0271333Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0271427Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0271521Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0271612Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0271698Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0271786Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0271792Z 
2022-11-23T01:30:20.0271869Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0271967Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0272054Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0272142Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0272228Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0272316Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0272321Z 
2022-11-23T01:30:20.0272407Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0272484Z               24 RETURN_VALUE
2022-11-23T01:30:20.0272532Z  
2022-11-23T01:30:20.0272536Z 
2022-11-23T01:30:20.0272850Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0273065Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0273315Z [2022-11-23 01:25:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0273559Z [2022-11-23 01:25:26,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0273956Z [2022-11-23 01:25:26,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0274197Z [2022-11-23 01:25:26,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0274510Z [2022-11-23 01:25:26,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0274720Z [2022-11-23 01:25:26,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0274956Z [2022-11-23 01:25:26,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0275208Z [2022-11-23 01:25:26,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0275514Z [2022-11-23 01:25:26,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0275828Z [2022-11-23 01:25:26,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0276209Z [2022-11-23 01:25:26,549] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111> 
2022-11-23T01:30:20.0276303Z  111           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0276397Z               2 LOAD_METHOD              0 (sub)
2022-11-23T01:30:20.0276486Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0276573Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0276636Z               8 RETURN_VALUE
2022-11-23T01:30:20.0276698Z  
2022-11-23T01:30:20.0276703Z 
2022-11-23T01:30:20.0276915Z [2022-11-23 01:25:26,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0277155Z [2022-11-23 01:25:26,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()]
2022-11-23T01:30:20.0277433Z [2022-11-23 01:25:26,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)]
2022-11-23T01:30:20.0277815Z [2022-11-23 01:25:26,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()]
2022-11-23T01:30:20.0278063Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0278448Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddc60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 111>
2022-11-23T01:30:20.0278687Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0278990Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0279202Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0279446Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0279831Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0280076Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0280309Z [2022-11-23 01:25:26,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0280564Z [2022-11-23 01:25:26,551] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0280847Z [2022-11-23 01:25:26,557] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0281035Z [2022-11-23 01:25:26,557] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0281170Z  __compiled_fn_249 <eval_with_key>.2075 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0281249Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0281335Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0281457Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0281566Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0281571Z 
2022-11-23T01:30:20.0281896Z [2022-11-23 01:25:26,558] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0281990Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0282110Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0282198Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0282279Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0282365Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0282454Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0282529Z              12 RETURN_VALUE
2022-11-23T01:30:20.0282535Z 
2022-11-23T01:30:20.0282597Z  
2022-11-23T01:30:20.0282917Z [2022-11-23 01:25:26,558] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0283025Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_249)
2022-11-23T01:30:20.0283102Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0283193Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0283268Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0283354Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0283444Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0283518Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0283607Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0283685Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0283759Z              18 RETURN_VALUE
2022-11-23T01:30:20.0283764Z 
2022-11-23T01:30:20.0283823Z  
2022-11-23T01:30:20.0284006Z [2022-11-23 01:25:26,558] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0284075Z  - 
2022-11-23T01:30:20.0284194Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0284256Z             {
2022-11-23T01:30:20.0284385Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0284574Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0284695Z                 'obj_weakref': None
2022-11-23T01:30:20.0284920Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0284986Z             }
2022-11-23T01:30:20.0285049Z             
2022-11-23T01:30:20.0285116Z  - 
2022-11-23T01:30:20.0285227Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0285292Z             {
2022-11-23T01:30:20.0285433Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0285536Z                 'code': None,
2022-11-23T01:30:20.0285748Z                 'obj_weakref': <weakref at 0x7ff59c0c4a40; to 'Tensor' at 0x7ff5a992d6c0>
2022-11-23T01:30:20.0286001Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0286063Z             }
2022-11-23T01:30:20.0286124Z             
2022-11-23T01:30:20.0286180Z  - 
2022-11-23T01:30:20.0286300Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0286364Z             {
2022-11-23T01:30:20.0286504Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0286610Z                 'code': None,
2022-11-23T01:30:20.0286820Z                 'obj_weakref': <weakref at 0x7ff59c0c4540; to 'Tensor' at 0x7ff5a80704f0>
2022-11-23T01:30:20.0287101Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0287153Z             }
2022-11-23T01:30:20.0287215Z             
2022-11-23T01:30:20.0287282Z  - 
2022-11-23T01:30:20.0287400Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0287461Z             {
2022-11-23T01:30:20.0287592Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0287748Z                 'code': ['___check_obj_id(model, 140693063387840)'],
2022-11-23T01:30:20.0287947Z                 'obj_weakref': <weakref at 0x7ff59c0c54e0; to 'M' at 0x7ff5a810cac0>
2022-11-23T01:30:20.0288161Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0288223Z             }
2022-11-23T01:30:20.0288285Z             
2022-11-23T01:30:20.0288352Z  - 
2022-11-23T01:30:20.0288506Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0288570Z             {
2022-11-23T01:30:20.0288692Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0288914Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0289032Z                 'obj_weakref': None
2022-11-23T01:30:20.0289251Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0289314Z             }
2022-11-23T01:30:20.0289376Z             
2022-11-23T01:30:20.0289442Z  - 
2022-11-23T01:30:20.0289584Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0289644Z             {
2022-11-23T01:30:20.0289764Z                 'guard_types': None,
2022-11-23T01:30:20.0289867Z                 'code': None,
2022-11-23T01:30:20.0289982Z                 'obj_weakref': None
2022-11-23T01:30:20.0290102Z                 'guarded_class': None
2022-11-23T01:30:20.0290155Z             }
2022-11-23T01:30:20.0290217Z             
2022-11-23T01:30:20.0290286Z  - 
2022-11-23T01:30:20.0290452Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0290518Z             {
2022-11-23T01:30:20.0290635Z                 'guard_types': None,
2022-11-23T01:30:20.0290738Z                 'code': None,
2022-11-23T01:30:20.0290842Z                 'obj_weakref': None
2022-11-23T01:30:20.0290960Z                 'guarded_class': None
2022-11-23T01:30:20.0291022Z             }
2022-11-23T01:30:20.0291082Z             
2022-11-23T01:30:20.0291340Z [2022-11-23 01:25:26,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 242
2022-11-23T01:30:20.0291705Z [2022-11-23 01:25:26,570] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py
2022-11-23T01:30:20.0291967Z [2022-11-23 01:25:26,570] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 242
2022-11-23T01:30:20.0292205Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0292506Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0292724Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0292963Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0293227Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0293536Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0293870Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0294223Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0294602Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0294697Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0294790Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0294867Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0294954Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0295043Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0295050Z 
2022-11-23T01:30:20.0295140Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0295235Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0295349Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0295436Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0295514Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0295601Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0295605Z 
2022-11-23T01:30:20.0295688Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0295764Z               24 RETURN_VALUE
2022-11-23T01:30:20.0295825Z  
2022-11-23T01:30:20.0295830Z 
2022-11-23T01:30:20.0296143Z [2022-11-23 01:25:26,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0296355Z [2022-11-23 01:25:26,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0296724Z [2022-11-23 01:25:26,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0296967Z [2022-11-23 01:25:26,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0297231Z [2022-11-23 01:25:26,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0297468Z [2022-11-23 01:25:26,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0297780Z [2022-11-23 01:25:26,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0297989Z [2022-11-23 01:25:26,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0298238Z [2022-11-23 01:25:26,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0298487Z [2022-11-23 01:25:26,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0298759Z [2022-11-23 01:25:26,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0299077Z [2022-11-23 01:25:26,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0299465Z [2022-11-23 01:25:26,583] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddd10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 
2022-11-23T01:30:20.0299557Z  112           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0299638Z               2 LOAD_METHOD              0 (sub_)
2022-11-23T01:30:20.0299725Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0299812Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0299889Z               8 RETURN_VALUE
2022-11-23T01:30:20.0299952Z  
2022-11-23T01:30:20.0299957Z 
2022-11-23T01:30:20.0300163Z [2022-11-23 01:25:26,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0300403Z [2022-11-23 01:25:26,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()]
2022-11-23T01:30:20.0300728Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)]
2022-11-23T01:30:20.0301021Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()]
2022-11-23T01:30:20.0301299Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0301737Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddd10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112>
2022-11-23T01:30:20.0301976Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0302333Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0302543Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0302789Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0303176Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0303421Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0303653Z [2022-11-23 01:25:26,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0303892Z [2022-11-23 01:25:26,585] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0304142Z [2022-11-23 01:25:26,595] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0304330Z [2022-11-23 01:25:26,596] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0304464Z  __compiled_fn_250 <eval_with_key>.2086 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0304553Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0304638Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0304758Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0304865Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0304870Z 
2022-11-23T01:30:20.0305183Z [2022-11-23 01:25:26,596] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0305275Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0305363Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0305452Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0305541Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0305629Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0305715Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0305779Z              12 RETURN_VALUE
2022-11-23T01:30:20.0305797Z 
2022-11-23T01:30:20.0305844Z  
2022-11-23T01:30:20.0306167Z [2022-11-23 01:25:26,596] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0306274Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_250)
2022-11-23T01:30:20.0306363Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0306451Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0306526Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0306613Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0306691Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0306767Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0306853Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0306970Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0307046Z              18 RETURN_VALUE
2022-11-23T01:30:20.0307051Z 
2022-11-23T01:30:20.0307111Z  
2022-11-23T01:30:20.0307296Z [2022-11-23 01:25:26,597] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0307353Z  - 
2022-11-23T01:30:20.0307470Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0307533Z             {
2022-11-23T01:30:20.0307677Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0307862Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0307980Z                 'obj_weakref': None
2022-11-23T01:30:20.0308202Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0308294Z             }
2022-11-23T01:30:20.0308345Z             
2022-11-23T01:30:20.0308412Z  - 
2022-11-23T01:30:20.0308536Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0308598Z             {
2022-11-23T01:30:20.0308741Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0308846Z                 'code': None,
2022-11-23T01:30:20.0309046Z                 'obj_weakref': <weakref at 0x7ff5a80a1a30; to 'Tensor' at 0x7ff5a992d0d0>
2022-11-23T01:30:20.0309294Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0309357Z             }
2022-11-23T01:30:20.0309418Z             
2022-11-23T01:30:20.0309486Z  - 
2022-11-23T01:30:20.0309608Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0309668Z             {
2022-11-23T01:30:20.0309798Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0309904Z                 'code': None,
2022-11-23T01:30:20.0310113Z                 'obj_weakref': <weakref at 0x7ff5a80a3790; to 'Tensor' at 0x7ff59c0c63e0>
2022-11-23T01:30:20.0310365Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0310431Z             }
2022-11-23T01:30:20.0310493Z             
2022-11-23T01:30:20.0310560Z  - 
2022-11-23T01:30:20.0310667Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0310729Z             {
2022-11-23T01:30:20.0310862Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0311030Z                 'code': ['___check_obj_id(model, 140693067883920)'],
2022-11-23T01:30:20.0311229Z                 'obj_weakref': <weakref at 0x7ff5a8541300; to 'M' at 0x7ff5a8556590>
2022-11-23T01:30:20.0311444Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0311506Z             }
2022-11-23T01:30:20.0311568Z             
2022-11-23T01:30:20.0311624Z  - 
2022-11-23T01:30:20.0311744Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0311808Z             {
2022-11-23T01:30:20.0311942Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0312159Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0312277Z                 'obj_weakref': None
2022-11-23T01:30:20.0312497Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0312546Z             }
2022-11-23T01:30:20.0312608Z             
2022-11-23T01:30:20.0312680Z  - 
2022-11-23T01:30:20.0312833Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0312896Z             {
2022-11-23T01:30:20.0313017Z                 'guard_types': None,
2022-11-23T01:30:20.0313109Z                 'code': None,
2022-11-23T01:30:20.0313224Z                 'obj_weakref': None
2022-11-23T01:30:20.0313344Z                 'guarded_class': None
2022-11-23T01:30:20.0313407Z             }
2022-11-23T01:30:20.0313468Z             
2022-11-23T01:30:20.0313538Z  - 
2022-11-23T01:30:20.0313703Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0313754Z             {
2022-11-23T01:30:20.0313976Z                 'guard_types': None,
2022-11-23T01:30:20.0314086Z                 'code': None,
2022-11-23T01:30:20.0314205Z                 'obj_weakref': None
2022-11-23T01:30:20.0314324Z                 'guarded_class': None
2022-11-23T01:30:20.0314388Z             }
2022-11-23T01:30:20.0314451Z             
2022-11-23T01:30:20.0314698Z [2022-11-23 01:25:26,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 243
2022-11-23T01:30:20.0315065Z [2022-11-23 01:25:26,610] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py
2022-11-23T01:30:20.0315326Z [2022-11-23 01:25:26,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 243
2022-11-23T01:30:20.0315560Z [2022-11-23 01:25:26,613] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0315907Z [2022-11-23 01:25:26,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0316124Z [2022-11-23 01:25:26,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0316363Z [2022-11-23 01:25:26,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0316629Z [2022-11-23 01:25:26,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0316940Z [2022-11-23 01:25:26,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0317275Z [2022-11-23 01:25:26,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0317577Z [2022-11-23 01:25:26,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0317957Z [2022-11-23 01:25:26,614] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0318052Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0318148Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0318238Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0318327Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0318421Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0318426Z 
2022-11-23T01:30:20.0318518Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0318601Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0318690Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0318778Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0318869Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0318956Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0318961Z 
2022-11-23T01:30:20.0319048Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0319124Z               24 RETURN_VALUE
2022-11-23T01:30:20.0319187Z  
2022-11-23T01:30:20.0319192Z 
2022-11-23T01:30:20.0319496Z [2022-11-23 01:25:26,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0319709Z [2022-11-23 01:25:26,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0319957Z [2022-11-23 01:25:26,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0320197Z [2022-11-23 01:25:26,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0320535Z [2022-11-23 01:25:26,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0320774Z [2022-11-23 01:25:26,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0321087Z [2022-11-23 01:25:26,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0321298Z [2022-11-23 01:25:26,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0321548Z [2022-11-23 01:25:26,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0321784Z [2022-11-23 01:25:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0322063Z [2022-11-23 01:25:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0322407Z [2022-11-23 01:25:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0322789Z [2022-11-23 01:25:26,618] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddd10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 
2022-11-23T01:30:20.0322881Z  112           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0322975Z               2 LOAD_METHOD              0 (sub_)
2022-11-23T01:30:20.0323066Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0323154Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0323230Z               8 RETURN_VALUE
2022-11-23T01:30:20.0323278Z  
2022-11-23T01:30:20.0323284Z 
2022-11-23T01:30:20.0323491Z [2022-11-23 01:25:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0323734Z [2022-11-23 01:25:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()]
2022-11-23T01:30:20.0324008Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)]
2022-11-23T01:30:20.0324315Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()]
2022-11-23T01:30:20.0324561Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0324946Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddd10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112>
2022-11-23T01:30:20.0325187Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0325498Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0325698Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0325944Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0326329Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0326581Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0326818Z [2022-11-23 01:25:26,619] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0327072Z [2022-11-23 01:25:26,620] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0327322Z [2022-11-23 01:25:26,626] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0327539Z [2022-11-23 01:25:26,626] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0327677Z  __compiled_fn_251 <eval_with_key>.2097 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0327755Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0327842Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0327967Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0328075Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0328080Z 
2022-11-23T01:30:20.0328406Z [2022-11-23 01:25:26,627] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0328501Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0328588Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0328706Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0328786Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0328869Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0328958Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0329032Z              12 RETURN_VALUE
2022-11-23T01:30:20.0329037Z 
2022-11-23T01:30:20.0329096Z  
2022-11-23T01:30:20.0329419Z [2022-11-23 01:25:26,627] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0329524Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_251)
2022-11-23T01:30:20.0329613Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0329690Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0329765Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0329851Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0329936Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0330013Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0330097Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0330186Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0330250Z              18 RETURN_VALUE
2022-11-23T01:30:20.0330256Z 
2022-11-23T01:30:20.0330317Z  
2022-11-23T01:30:20.0330497Z [2022-11-23 01:25:26,628] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0330566Z  - 
2022-11-23T01:30:20.0330684Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0330747Z             {
2022-11-23T01:30:20.0330885Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0331057Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0331175Z                 'obj_weakref': None
2022-11-23T01:30:20.0331398Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0331465Z             }
2022-11-23T01:30:20.0331530Z             
2022-11-23T01:30:20.0331598Z  - 
2022-11-23T01:30:20.0331720Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0331771Z             {
2022-11-23T01:30:20.0331916Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0332021Z                 'code': None,
2022-11-23T01:30:20.0332234Z                 'obj_weakref': <weakref at 0x7ff59c0c46d0; to 'Tensor' at 0x7ff5a992d490>
2022-11-23T01:30:20.0332484Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0332547Z             }
2022-11-23T01:30:20.0332609Z             
2022-11-23T01:30:20.0332664Z  - 
2022-11-23T01:30:20.0332784Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0332846Z             {
2022-11-23T01:30:20.0332986Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0333094Z                 'code': None,
2022-11-23T01:30:20.0333303Z                 'obj_weakref': <weakref at 0x7ff58ff031a0; to 'Tensor' at 0x7ff59c14e840>
2022-11-23T01:30:20.0333559Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0333609Z             }
2022-11-23T01:30:20.0333699Z             
2022-11-23T01:30:20.0333769Z  - 
2022-11-23T01:30:20.0333889Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0333951Z             {
2022-11-23T01:30:20.0334082Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0334249Z                 'code': ['___check_obj_id(model, 140693067415760)'],
2022-11-23T01:30:20.0334436Z                 'obj_weakref': <weakref at 0x7ff59c046250; to 'M' at 0x7ff5a84e40d0>
2022-11-23T01:30:20.0334714Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0334789Z             }
2022-11-23T01:30:20.0334854Z             
2022-11-23T01:30:20.0334923Z  - 
2022-11-23T01:30:20.0335044Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0335105Z             {
2022-11-23T01:30:20.0335261Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0335480Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0335599Z                 'obj_weakref': None
2022-11-23T01:30:20.0335818Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0335881Z             }
2022-11-23T01:30:20.0335942Z             
2022-11-23T01:30:20.0336009Z  - 
2022-11-23T01:30:20.0336149Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0336211Z             {
2022-11-23T01:30:20.0336326Z                 'guard_types': None,
2022-11-23T01:30:20.0336588Z                 'code': None,
2022-11-23T01:30:20.0336708Z                 'obj_weakref': None
2022-11-23T01:30:20.0336832Z                 'guarded_class': None
2022-11-23T01:30:20.0336896Z             }
2022-11-23T01:30:20.0336947Z             
2022-11-23T01:30:20.0337018Z  - 
2022-11-23T01:30:20.0337189Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0337253Z             {
2022-11-23T01:30:20.0337370Z                 'guard_types': None,
2022-11-23T01:30:20.0337478Z                 'code': None,
2022-11-23T01:30:20.0337594Z                 'obj_weakref': None
2022-11-23T01:30:20.0337702Z                 'guarded_class': None
2022-11-23T01:30:20.0337764Z             }
2022-11-23T01:30:20.0337828Z             
2022-11-23T01:30:20.0338089Z [2022-11-23 01:25:26,638] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 244
2022-11-23T01:30:20.0338459Z [2022-11-23 01:25:26,639] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py
2022-11-23T01:30:20.0338721Z [2022-11-23 01:25:26,639] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 244
2022-11-23T01:30:20.0338957Z [2022-11-23 01:25:26,643] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0339275Z [2022-11-23 01:25:26,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0339477Z [2022-11-23 01:25:26,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0339716Z [2022-11-23 01:25:26,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0339981Z [2022-11-23 01:25:26,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0340289Z [2022-11-23 01:25:26,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0340629Z [2022-11-23 01:25:26,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0340941Z [2022-11-23 01:25:26,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0341383Z [2022-11-23 01:25:26,644] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0341477Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0341572Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0341661Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0341738Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0341827Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0341833Z 
2022-11-23T01:30:20.0341927Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0342023Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0342111Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0342232Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0342320Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0342398Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0342403Z 
2022-11-23T01:30:20.0342489Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0342564Z               24 RETURN_VALUE
2022-11-23T01:30:20.0342627Z  
2022-11-23T01:30:20.0342632Z 
2022-11-23T01:30:20.0342950Z [2022-11-23 01:25:26,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0343161Z [2022-11-23 01:25:26,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0343409Z [2022-11-23 01:25:26,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0343649Z [2022-11-23 01:25:26,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0343926Z [2022-11-23 01:25:26,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0344151Z [2022-11-23 01:25:26,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0344462Z [2022-11-23 01:25:26,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0344671Z [2022-11-23 01:25:26,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0344919Z [2022-11-23 01:25:26,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0345182Z [2022-11-23 01:25:26,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0345588Z [2022-11-23 01:25:26,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0346061Z [2022-11-23 01:25:26,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0346446Z [2022-11-23 01:25:26,652] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddd10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 
2022-11-23T01:30:20.0346537Z  112           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0346619Z               2 LOAD_METHOD              0 (sub_)
2022-11-23T01:30:20.0346711Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0346799Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0346875Z               8 RETURN_VALUE
2022-11-23T01:30:20.0346936Z  
2022-11-23T01:30:20.0346941Z 
2022-11-23T01:30:20.0347147Z [2022-11-23 01:25:26,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0347387Z [2022-11-23 01:25:26,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()]
2022-11-23T01:30:20.0347703Z [2022-11-23 01:25:26,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)]
2022-11-23T01:30:20.0347996Z [2022-11-23 01:25:26,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()]
2022-11-23T01:30:20.0348239Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0348621Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddd10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112>
2022-11-23T01:30:20.0348857Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0349168Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0349405Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0349649Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0350031Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0350276Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0350510Z [2022-11-23 01:25:26,653] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0350765Z [2022-11-23 01:25:26,654] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0350999Z [2022-11-23 01:25:26,666] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0351190Z [2022-11-23 01:25:26,666] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0351330Z  __compiled_fn_252 <eval_with_key>.2108 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0351418Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0351504Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0351624Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0351732Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0351737Z 
2022-11-23T01:30:20.0352060Z [2022-11-23 01:25:26,666] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0352141Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0352229Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0352315Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0352408Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0352491Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0352579Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0352653Z              12 RETURN_VALUE
2022-11-23T01:30:20.0352658Z 
2022-11-23T01:30:20.0352705Z  
2022-11-23T01:30:20.0353023Z [2022-11-23 01:25:26,666] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0353129Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_252)
2022-11-23T01:30:20.0353216Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0353305Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0353380Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0353466Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0353551Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0353614Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0353702Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0353791Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0353987Z              18 RETURN_VALUE
2022-11-23T01:30:20.0353993Z 
2022-11-23T01:30:20.0354053Z  
2022-11-23T01:30:20.0354238Z [2022-11-23 01:25:26,667] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0354307Z  - 
2022-11-23T01:30:20.0354413Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0354476Z             {
2022-11-23T01:30:20.0354616Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0354801Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0354921Z                 'obj_weakref': None
2022-11-23T01:30:20.0355147Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0355211Z             }
2022-11-23T01:30:20.0355261Z             
2022-11-23T01:30:20.0355329Z  - 
2022-11-23T01:30:20.0355480Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0355544Z             {
2022-11-23T01:30:20.0355683Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0355790Z                 'code': None,
2022-11-23T01:30:20.0356000Z                 'obj_weakref': <weakref at 0x7ff59c1efd80; to 'Tensor' at 0x7ff5a992c590>
2022-11-23T01:30:20.0356241Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0356303Z             }
2022-11-23T01:30:20.0356364Z             
2022-11-23T01:30:20.0356431Z  - 
2022-11-23T01:30:20.0356616Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0356713Z             {
2022-11-23T01:30:20.0356923Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0357019Z                 'code': None,
2022-11-23T01:30:20.0357230Z                 'obj_weakref': <weakref at 0x7ff59c1ed8f0; to 'Tensor' at 0x7ff5a865a430>
2022-11-23T01:30:20.0357481Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0357545Z             }
2022-11-23T01:30:20.0357607Z             
2022-11-23T01:30:20.0357676Z  - 
2022-11-23T01:30:20.0357795Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0357845Z             {
2022-11-23T01:30:20.0357976Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0358143Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:20.0358346Z                 'obj_weakref': <weakref at 0x7ff58fd522a0; to 'M' at 0x7ff58f929ed0>
2022-11-23T01:30:20.0358560Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0358621Z             }
2022-11-23T01:30:20.0358682Z             
2022-11-23T01:30:20.0358737Z  - 
2022-11-23T01:30:20.0358856Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0358918Z             {
2022-11-23T01:30:20.0359052Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0359270Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0359388Z                 'obj_weakref': None
2022-11-23T01:30:20.0359607Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0359658Z             }
2022-11-23T01:30:20.0359718Z             
2022-11-23T01:30:20.0359785Z  - 
2022-11-23T01:30:20.0359940Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0360002Z             {
2022-11-23T01:30:20.0360119Z                 'guard_types': None,
2022-11-23T01:30:20.0360224Z                 'code': None,
2022-11-23T01:30:20.0360327Z                 'obj_weakref': None
2022-11-23T01:30:20.0360447Z                 'guarded_class': None
2022-11-23T01:30:20.0360510Z             }
2022-11-23T01:30:20.0360572Z             
2022-11-23T01:30:20.0360639Z  - 
2022-11-23T01:30:20.0360806Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0360870Z             {
2022-11-23T01:30:20.0360976Z                 'guard_types': None,
2022-11-23T01:30:20.0361079Z                 'code': None,
2022-11-23T01:30:20.0361242Z                 'obj_weakref': None
2022-11-23T01:30:20.0361365Z                 'guarded_class': None
2022-11-23T01:30:20.0361427Z             }
2022-11-23T01:30:20.0361489Z             
2022-11-23T01:30:20.0361736Z [2022-11-23 01:25:26,678] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 245
2022-11-23T01:30:20.0362100Z [2022-11-23 01:25:26,680] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py
2022-11-23T01:30:20.0362363Z [2022-11-23 01:25:26,680] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 245
2022-11-23T01:30:20.0362598Z [2022-11-23 01:25:26,683] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0362945Z [2022-11-23 01:25:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0363165Z [2022-11-23 01:25:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0363407Z [2022-11-23 01:25:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0363677Z [2022-11-23 01:25:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0363987Z [2022-11-23 01:25:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0364321Z [2022-11-23 01:25:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0364632Z [2022-11-23 01:25:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0365001Z [2022-11-23 01:25:26,684] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:30:20.0365096Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0365192Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:30:20.0365283Z                4 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0365373Z                6 CALL_METHOD              1
2022-11-23T01:30:20.0365466Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.0365473Z 
2022-11-23T01:30:20.0365565Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:30:20.0365662Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:30:20.0365738Z               14 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0365825Z               16 LOAD_FAST                2 (y)
2022-11-23T01:30:20.0365916Z               18 CALL_METHOD              2
2022-11-23T01:30:20.0366003Z               20 STORE_FAST               1 (x)
2022-11-23T01:30:20.0366010Z 
2022-11-23T01:30:20.0366097Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:30:20.0366175Z               24 RETURN_VALUE
2022-11-23T01:30:20.0366235Z  
2022-11-23T01:30:20.0366241Z 
2022-11-23T01:30:20.0366558Z [2022-11-23 01:25:26,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1630
2022-11-23T01:30:20.0366759Z [2022-11-23 01:25:26,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0367009Z [2022-11-23 01:25:26,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:30:20.0367250Z [2022-11-23 01:25:26,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.0367640Z [2022-11-23 01:25:26,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.0367915Z [2022-11-23 01:25:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0368230Z [2022-11-23 01:25:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1631
2022-11-23T01:30:20.0368442Z [2022-11-23 01:25:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:30:20.0368692Z [2022-11-23 01:25:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:30:20.0368943Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:30:20.0369207Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.0369522Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.0369930Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7ff64d1ddd10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112> 
2022-11-23T01:30:20.0370025Z  112           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.0370118Z               2 LOAD_METHOD              0 (sub_)
2022-11-23T01:30:20.0370212Z               4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.0370302Z               6 CALL_METHOD              1
2022-11-23T01:30:20.0370380Z               8 RETURN_VALUE
2022-11-23T01:30:20.0370429Z  
2022-11-23T01:30:20.0370434Z 
2022-11-23T01:30:20.0370643Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0370883Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()]
2022-11-23T01:30:20.0371158Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)]
2022-11-23T01:30:20.0371466Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()]
2022-11-23T01:30:20.0371709Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0372093Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7ff64d1ddd10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 112>
2022-11-23T01:30:20.0372335Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.0372646Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1632
2022-11-23T01:30:20.0372858Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.0373090Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0373469Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d16b520, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1629>
2022-11-23T01:30:20.0373715Z [2022-11-23 01:25:26,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0373948Z [2022-11-23 01:25:26,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0374198Z [2022-11-23 01:25:26,689] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0374448Z [2022-11-23 01:25:26,696] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0374636Z [2022-11-23 01:25:26,696] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0374799Z  __compiled_fn_253 <eval_with_key>.2119 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0374889Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0374963Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.0375083Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.0375190Z output, output, output, ((model_linear,),), {}
2022-11-23T01:30:20.0375195Z 
2022-11-23T01:30:20.0375520Z [2022-11-23 01:25:26,697] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0375612Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0375701Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0375785Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0375878Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0375979Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0376068Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0376144Z              12 RETURN_VALUE
2022-11-23T01:30:20.0376149Z 
2022-11-23T01:30:20.0376209Z  
2022-11-23T01:30:20.0376626Z [2022-11-23 01:25:26,697] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0376733Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_253)
2022-11-23T01:30:20.0376822Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0376913Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0376977Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0377065Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0377152Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.0377228Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.0377315Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.0377407Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0377481Z              18 RETURN_VALUE
2022-11-23T01:30:20.0377486Z 
2022-11-23T01:30:20.0377535Z  
2022-11-23T01:30:20.0377717Z [2022-11-23 01:25:26,698] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0377788Z  - 
2022-11-23T01:30:20.0377908Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0377973Z             {
2022-11-23T01:30:20.0378114Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0378300Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.0378406Z                 'obj_weakref': None
2022-11-23T01:30:20.0378629Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0378692Z             }
2022-11-23T01:30:20.0378754Z             
2022-11-23T01:30:20.0378821Z  - 
2022-11-23T01:30:20.0378945Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0379010Z             {
2022-11-23T01:30:20.0379139Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0379243Z                 'code': None,
2022-11-23T01:30:20.0379455Z                 'obj_weakref': <weakref at 0x7ff5a8233060; to 'Tensor' at 0x7ff5a816e110>
2022-11-23T01:30:20.0379706Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0379769Z             }
2022-11-23T01:30:20.0379832Z             
2022-11-23T01:30:20.0379900Z  - 
2022-11-23T01:30:20.0380009Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.0380071Z             {
2022-11-23T01:30:20.0380211Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0380317Z                 'code': None,
2022-11-23T01:30:20.0380528Z                 'obj_weakref': <weakref at 0x7ff59c1ecef0; to 'Tensor' at 0x7ff58ff03e70>
2022-11-23T01:30:20.0380781Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0380846Z             }
2022-11-23T01:30:20.0380897Z             
2022-11-23T01:30:20.0380964Z  - 
2022-11-23T01:30:20.0381136Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0381199Z             {
2022-11-23T01:30:20.0381332Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0381497Z                 'code': ['___check_obj_id(model, 140693063387840)'],
2022-11-23T01:30:20.0381704Z                 'obj_weakref': <weakref at 0x7ff58fdc1df0; to 'M' at 0x7ff5a810cac0>
2022-11-23T01:30:20.0381907Z                 'guarded_class': <weakref at 0x7ff58fdcb420; to 'type' at 0x56033e50f7d0 (M)>
2022-11-23T01:30:20.0381970Z             }
2022-11-23T01:30:20.0382032Z             
2022-11-23T01:30:20.0382101Z  - 
2022-11-23T01:30:20.0382222Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0382285Z             {
2022-11-23T01:30:20.0382421Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0382664Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0382782Z                 'obj_weakref': None
2022-11-23T01:30:20.0383004Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0383067Z             }
2022-11-23T01:30:20.0383131Z             
2022-11-23T01:30:20.0383198Z  - 
2022-11-23T01:30:20.0383353Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:30:20.0383404Z             {
2022-11-23T01:30:20.0383521Z                 'guard_types': None,
2022-11-23T01:30:20.0383627Z                 'code': None,
2022-11-23T01:30:20.0383744Z                 'obj_weakref': None
2022-11-23T01:30:20.0383863Z                 'guarded_class': None
2022-11-23T01:30:20.0383928Z             }
2022-11-23T01:30:20.0383990Z             
2022-11-23T01:30:20.0384046Z  - 
2022-11-23T01:30:20.0384217Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:30:20.0384282Z             {
2022-11-23T01:30:20.0384400Z                 'guard_types': None,
2022-11-23T01:30:20.0384507Z                 'code': None,
2022-11-23T01:30:20.0384623Z                 'obj_weakref': None
2022-11-23T01:30:20.0384731Z                 'guarded_class': None
2022-11-23T01:30:20.0384795Z             }
2022-11-23T01:30:20.0384856Z             
2022-11-23T01:30:20.0385117Z [2022-11-23 01:25:26,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 246
2022-11-23T01:30:20.0385483Z [2022-11-23 01:25:26,709] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py
2022-11-23T01:30:20.0385745Z [2022-11-23 01:25:26,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 246
2022-11-23T01:30:20.0385751Z 
2022-11-23T01:30:20.0385842Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0385909Z import torch
2022-11-23T01:30:20.0385965Z import random
2022-11-23T01:30:20.0386081Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0386198Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0386203Z 
2022-11-23T01:30:20.0386281Z aten = torch.ops.aten
2022-11-23T01:30:20.0386414Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0386505Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0386510Z 
2022-11-23T01:30:20.0386515Z 
2022-11-23T01:30:20.0386602Z async_compile.wait(globals())
2022-11-23T01:30:20.0386673Z del async_compile
2022-11-23T01:30:20.0386678Z 
2022-11-23T01:30:20.0386736Z def call(args):
2022-11-23T01:30:20.0386817Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0386886Z     args.clear()
2022-11-23T01:30:20.0387111Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2022-11-23T01:30:20.0387180Z     del arg0_1
2022-11-23T01:30:20.0387245Z     del arg1_1
2022-11-23T01:30:20.0387309Z     del arg2_1
2022-11-23T01:30:20.0387367Z     return (buf0, )
2022-11-23T01:30:20.0387374Z 
2022-11-23T01:30:20.0387390Z 
2022-11-23T01:30:20.0387452Z if __name__ == "__main__":
2022-11-23T01:30:20.0387563Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0387729Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0387934Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0388140Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0388343Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0388463Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0388468Z 
2022-11-23T01:30:20.0388472Z 
2022-11-23T01:30:20.0388566Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0388623Z import torch
2022-11-23T01:30:20.0388691Z import random
2022-11-23T01:30:20.0388803Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0388947Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0388952Z 
2022-11-23T01:30:20.0389031Z aten = torch.ops.aten
2022-11-23T01:30:20.0389166Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0389256Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0389261Z 
2022-11-23T01:30:20.0389265Z 
2022-11-23T01:30:20.0389353Z async_compile.wait(globals())
2022-11-23T01:30:20.0389412Z del async_compile
2022-11-23T01:30:20.0389417Z 
2022-11-23T01:30:20.0389487Z def call(args):
2022-11-23T01:30:20.0389575Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0389648Z     args.clear()
2022-11-23T01:30:20.0389872Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2022-11-23T01:30:20.0389939Z     del arg0_1
2022-11-23T01:30:20.0390004Z     del arg1_1
2022-11-23T01:30:20.0390057Z     del arg2_1
2022-11-23T01:30:20.0390121Z     del arg3_1
2022-11-23T01:30:20.0390193Z     return (buf0, )
2022-11-23T01:30:20.0390200Z 
2022-11-23T01:30:20.0390204Z 
2022-11-23T01:30:20.0390282Z if __name__ == "__main__":
2022-11-23T01:30:20.0390392Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0390514Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0390713Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0390894Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0391091Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0391285Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0391413Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0391418Z 
2022-11-23T01:30:20.0391422Z 
2022-11-23T01:30:20.0391513Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0391582Z import torch
2022-11-23T01:30:20.0391650Z import random
2022-11-23T01:30:20.0391764Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0391868Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0391873Z 
2022-11-23T01:30:20.0391952Z aten = torch.ops.aten
2022-11-23T01:30:20.0392085Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0392175Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0392179Z 
2022-11-23T01:30:20.0392183Z 
2022-11-23T01:30:20.0392269Z async_compile.wait(globals())
2022-11-23T01:30:20.0392338Z del async_compile
2022-11-23T01:30:20.0392344Z 
2022-11-23T01:30:20.0392411Z def call(args):
2022-11-23T01:30:20.0392490Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0392548Z     args.clear()
2022-11-23T01:30:20.0392769Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2022-11-23T01:30:20.0392835Z     del arg0_1
2022-11-23T01:30:20.0392901Z     del arg1_1
2022-11-23T01:30:20.0392965Z     del arg2_1
2022-11-23T01:30:20.0393034Z     return (buf0, )
2022-11-23T01:30:20.0393041Z 
2022-11-23T01:30:20.0393045Z 
2022-11-23T01:30:20.0393119Z if __name__ == "__main__":
2022-11-23T01:30:20.0393220Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0393370Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0393570Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0393766Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0394062Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0394182Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0394187Z 
2022-11-23T01:30:20.0394192Z 
2022-11-23T01:30:20.0394283Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0394353Z import torch
2022-11-23T01:30:20.0394410Z import random
2022-11-23T01:30:20.0394522Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0394677Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0394682Z 
2022-11-23T01:30:20.0394759Z aten = torch.ops.aten
2022-11-23T01:30:20.0394893Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0394985Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0394989Z 
2022-11-23T01:30:20.0394993Z 
2022-11-23T01:30:20.0395081Z async_compile.wait(globals())
2022-11-23T01:30:20.0395153Z del async_compile
2022-11-23T01:30:20.0395157Z 
2022-11-23T01:30:20.0395214Z def call(args):
2022-11-23T01:30:20.0395303Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0395373Z     args.clear()
2022-11-23T01:30:20.0395600Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2022-11-23T01:30:20.0395667Z     del arg0_1
2022-11-23T01:30:20.0395733Z     del arg1_1
2022-11-23T01:30:20.0395797Z     del arg2_1
2022-11-23T01:30:20.0395849Z     del arg3_1
2022-11-23T01:30:20.0395920Z     return (buf0, )
2022-11-23T01:30:20.0395924Z 
2022-11-23T01:30:20.0395931Z 
2022-11-23T01:30:20.0396005Z if __name__ == "__main__":
2022-11-23T01:30:20.0396119Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0396240Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0396440Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0396634Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0396836Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0397026Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0397153Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0397158Z 
2022-11-23T01:30:20.0397162Z 
2022-11-23T01:30:20.0397256Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0397324Z import torch
2022-11-23T01:30:20.0397393Z import random
2022-11-23T01:30:20.0397505Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0397622Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0397626Z 
2022-11-23T01:30:20.0397704Z aten = torch.ops.aten
2022-11-23T01:30:20.0397822Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0397912Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0397917Z 
2022-11-23T01:30:20.0397921Z 
2022-11-23T01:30:20.0398007Z async_compile.wait(globals())
2022-11-23T01:30:20.0398077Z del async_compile
2022-11-23T01:30:20.0398082Z 
2022-11-23T01:30:20.0398151Z def call(args):
2022-11-23T01:30:20.0398231Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0398301Z     args.clear()
2022-11-23T01:30:20.0398521Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2022-11-23T01:30:20.0398575Z     del arg0_1
2022-11-23T01:30:20.0398641Z     del arg1_1
2022-11-23T01:30:20.0398706Z     del arg2_1
2022-11-23T01:30:20.0398781Z     return (buf0, )
2022-11-23T01:30:20.0398789Z 
2022-11-23T01:30:20.0398794Z 
2022-11-23T01:30:20.0398868Z if __name__ == "__main__":
2022-11-23T01:30:20.0398977Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0399124Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0399310Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0399515Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0399716Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0399835Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0399840Z 
2022-11-23T01:30:20.0399844Z 
2022-11-23T01:30:20.0399938Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0400008Z import torch
2022-11-23T01:30:20.0400076Z import random
2022-11-23T01:30:20.0400189Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0400323Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0400340Z 
2022-11-23T01:30:20.0400404Z aten = torch.ops.aten
2022-11-23T01:30:20.0400534Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0400624Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0400629Z 
2022-11-23T01:30:20.0400633Z 
2022-11-23T01:30:20.0400720Z async_compile.wait(globals())
2022-11-23T01:30:20.0400793Z del async_compile
2022-11-23T01:30:20.0400798Z 
2022-11-23T01:30:20.0400865Z def call(args):
2022-11-23T01:30:20.0400951Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:30:20.0401008Z     args.clear()
2022-11-23T01:30:20.0401235Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub')
2022-11-23T01:30:20.0401302Z     del arg0_1
2022-11-23T01:30:20.0401372Z     del arg1_1
2022-11-23T01:30:20.0401443Z     del arg2_1
2022-11-23T01:30:20.0401508Z     del arg3_1
2022-11-23T01:30:20.0401580Z     return (buf0, )
2022-11-23T01:30:20.0401587Z 
2022-11-23T01:30:20.0401591Z 
2022-11-23T01:30:20.0401667Z if __name__ == "__main__":
2022-11-23T01:30:20.0401768Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0401891Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0402092Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0402287Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0402485Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0402682Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0402810Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:30:20.0402814Z 
2022-11-23T01:30:20.0402818Z 
2022-11-23T01:30:20.0402913Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0402970Z import torch
2022-11-23T01:30:20.0403041Z import random
2022-11-23T01:30:20.0403158Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0403278Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0403282Z 
2022-11-23T01:30:20.0403363Z aten = torch.ops.aten
2022-11-23T01:30:20.0403497Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0403589Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0403594Z 
2022-11-23T01:30:20.0403598Z 
2022-11-23T01:30:20.0403686Z async_compile.wait(globals())
2022-11-23T01:30:20.0403745Z del async_compile
2022-11-23T01:30:20.0403750Z 
2022-11-23T01:30:20.0403821Z def call(args):
2022-11-23T01:30:20.0403902Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0403972Z     args.clear()
2022-11-23T01:30:20.0404198Z     buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub')
2022-11-23T01:30:20.0404266Z     del arg0_1
2022-11-23T01:30:20.0404334Z     del arg1_1
2022-11-23T01:30:20.0404388Z     del arg2_1
2022-11-23T01:30:20.0404459Z     return (buf0, )
2022-11-23T01:30:20.0404466Z 
2022-11-23T01:30:20.0404470Z 
2022-11-23T01:30:20.0404547Z if __name__ == "__main__":
2022-11-23T01:30:20.0404660Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0404815Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0405015Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0405222Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0405493Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0405603Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0405608Z 
2022-11-23T01:30:20.0405677Z ok (1.100s)
2022-11-23T01:30:20.0405997Z   test_linear_unary_cpu (__main__.CpuTests) ... [2022-11-23 01:25:26,714] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0406314Z [2022-11-23 01:25:26,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0406594Z [2022-11-23 01:25:26,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0406839Z [2022-11-23 01:25:26,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0407105Z [2022-11-23 01:25:26,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0407418Z [2022-11-23 01:25:26,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0407750Z [2022-11-23 01:25:26,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0408045Z [2022-11-23 01:25:26,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0408292Z [2022-11-23 01:25:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0408528Z [2022-11-23 01:25:26,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0408782Z [2022-11-23 01:25:26,724] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0409029Z [2022-11-23 01:25:26,738] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0409217Z [2022-11-23 01:25:26,738] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0409353Z  __compiled_fn_254 <eval_with_key>.2130 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0409443Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0409544Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0409630Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0409637Z 
2022-11-23T01:30:20.0409963Z [2022-11-23 01:25:26,739] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0410060Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0410153Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0410239Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0410329Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0410412Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0410498Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0410560Z              12 RETURN_VALUE
2022-11-23T01:30:20.0410565Z 
2022-11-23T01:30:20.0410624Z  
2022-11-23T01:30:20.0410944Z [2022-11-23 01:25:26,739] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0411052Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_254)
2022-11-23T01:30:20.0411142Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0411231Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0411336Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0411411Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0411499Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0411572Z              12 RETURN_VALUE
2022-11-23T01:30:20.0411577Z 
2022-11-23T01:30:20.0411637Z  
2022-11-23T01:30:20.0411818Z [2022-11-23 01:25:26,739] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0411886Z  - 
2022-11-23T01:30:20.0412004Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0412057Z             {
2022-11-23T01:30:20.0412195Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0412381Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0412499Z                 'obj_weakref': None
2022-11-23T01:30:20.0412722Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0412818Z             }
2022-11-23T01:30:20.0412880Z             
2022-11-23T01:30:20.0412936Z  - 
2022-11-23T01:30:20.0413062Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0413125Z             {
2022-11-23T01:30:20.0413265Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0413371Z                 'code': None,
2022-11-23T01:30:20.0413584Z                 'obj_weakref': <weakref at 0x7ff58fdc0a40; to 'Tensor' at 0x7ff5a80a16c0>
2022-11-23T01:30:20.0413834Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0413898Z             }
2022-11-23T01:30:20.0413948Z             
2022-11-23T01:30:20.0414015Z  - 
2022-11-23T01:30:20.0414134Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0414197Z             {
2022-11-23T01:30:20.0414330Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0414499Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:20.0414724Z                 'obj_weakref': <weakref at 0x7ff58fdc2750; to 'Sequential' at 0x7ff58f929ed0>
2022-11-23T01:30:20.0414946Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0415007Z             }
2022-11-23T01:30:20.0415071Z             
2022-11-23T01:30:20.0415138Z  - 
2022-11-23T01:30:20.0415258Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0415320Z             {
2022-11-23T01:30:20.0415454Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0415656Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0415776Z                 'obj_weakref': None
2022-11-23T01:30:20.0415997Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0416062Z             }
2022-11-23T01:30:20.0416125Z             
2022-11-23T01:30:20.0416191Z  - 
2022-11-23T01:30:20.0416336Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0416386Z             {
2022-11-23T01:30:20.0416625Z                 'guard_types': None,
2022-11-23T01:30:20.0416732Z                 'code': None,
2022-11-23T01:30:20.0416850Z                 'obj_weakref': None
2022-11-23T01:30:20.0416970Z                 'guarded_class': None
2022-11-23T01:30:20.0417032Z             }
2022-11-23T01:30:20.0417095Z             
2022-11-23T01:30:20.0417150Z  - 
2022-11-23T01:30:20.0417290Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0417353Z             {
2022-11-23T01:30:20.0417470Z                 'guard_types': None,
2022-11-23T01:30:20.0417574Z                 'code': None,
2022-11-23T01:30:20.0417690Z                 'obj_weakref': None
2022-11-23T01:30:20.0417797Z                 'guarded_class': None
2022-11-23T01:30:20.0417859Z             }
2022-11-23T01:30:20.0417920Z             
2022-11-23T01:30:20.0418181Z [2022-11-23 01:25:26,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 247
2022-11-23T01:30:20.0418604Z [2022-11-23 01:25:26,752] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xj/cxjrcrndaj5lyefcg6h2ivrkiashvsibsiwxhln6ijhzechr2qy3.py
2022-11-23T01:30:20.0418870Z [2022-11-23 01:25:26,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 247
2022-11-23T01:30:20.0419104Z [2022-11-23 01:25:26,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0419419Z [2022-11-23 01:25:26,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0419633Z [2022-11-23 01:25:26,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0419862Z [2022-11-23 01:25:26,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0420194Z [2022-11-23 01:25:26,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0420504Z [2022-11-23 01:25:26,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0420841Z [2022-11-23 01:25:26,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0421153Z [2022-11-23 01:25:26,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0421394Z [2022-11-23 01:25:26,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0421624Z [2022-11-23 01:25:26,760] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0421874Z [2022-11-23 01:25:26,761] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0422126Z [2022-11-23 01:25:26,768] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0422301Z [2022-11-23 01:25:26,768] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0422434Z  __compiled_fn_255 <eval_with_key>.2141 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0422522Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0422621Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0422720Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0422725Z 
2022-11-23T01:30:20.0423049Z [2022-11-23 01:25:26,769] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0423140Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0423229Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0423306Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0423399Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0423485Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0423573Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0423648Z              12 RETURN_VALUE
2022-11-23T01:30:20.0423654Z 
2022-11-23T01:30:20.0423713Z  
2022-11-23T01:30:20.0424035Z [2022-11-23 01:25:26,769] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0424142Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_255)
2022-11-23T01:30:20.0424219Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0424306Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0424382Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0424466Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0424554Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0424629Z              12 RETURN_VALUE
2022-11-23T01:30:20.0424634Z 
2022-11-23T01:30:20.0424692Z  
2022-11-23T01:30:20.0424896Z [2022-11-23 01:25:26,769] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0424965Z  - 
2022-11-23T01:30:20.0425082Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0425145Z             {
2022-11-23T01:30:20.0425286Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0425469Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0425587Z                 'obj_weakref': None
2022-11-23T01:30:20.0425799Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0425862Z             }
2022-11-23T01:30:20.0425923Z             
2022-11-23T01:30:20.0425993Z  - 
2022-11-23T01:30:20.0426116Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0426177Z             {
2022-11-23T01:30:20.0426351Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0426445Z                 'code': None,
2022-11-23T01:30:20.0426660Z                 'obj_weakref': <weakref at 0x7ff5a807b6a0; to 'Tensor' at 0x7ff58fe053f0>
2022-11-23T01:30:20.0426910Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0426973Z             }
2022-11-23T01:30:20.0427035Z             
2022-11-23T01:30:20.0427102Z  - 
2022-11-23T01:30:20.0427222Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0427272Z             {
2022-11-23T01:30:20.0427405Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0427572Z                 'code': ['___check_obj_id(model, 140693067417104)'],
2022-11-23T01:30:20.0427790Z                 'obj_weakref': <weakref at 0x7ff5a885b150; to 'Sequential' at 0x7ff5a84e4610>
2022-11-23T01:30:20.0428022Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0428087Z             }
2022-11-23T01:30:20.0428150Z             
2022-11-23T01:30:20.0428205Z  - 
2022-11-23T01:30:20.0428324Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0428387Z             {
2022-11-23T01:30:20.0428522Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0428738Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0428854Z                 'obj_weakref': None
2022-11-23T01:30:20.0429072Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0429134Z             }
2022-11-23T01:30:20.0429183Z             
2022-11-23T01:30:20.0429251Z  - 
2022-11-23T01:30:20.0429395Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0429457Z             {
2022-11-23T01:30:20.0429574Z                 'guard_types': None,
2022-11-23T01:30:20.0429679Z                 'code': None,
2022-11-23T01:30:20.0429786Z                 'obj_weakref': None
2022-11-23T01:30:20.0429905Z                 'guarded_class': None
2022-11-23T01:30:20.0429966Z             }
2022-11-23T01:30:20.0430028Z             
2022-11-23T01:30:20.0430097Z  - 
2022-11-23T01:30:20.0430244Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0430305Z             {
2022-11-23T01:30:20.0430410Z                 'guard_types': None,
2022-11-23T01:30:20.0430514Z                 'code': None,
2022-11-23T01:30:20.0430632Z                 'obj_weakref': None
2022-11-23T01:30:20.0430750Z                 'guarded_class': None
2022-11-23T01:30:20.0430813Z             }
2022-11-23T01:30:20.0430873Z             
2022-11-23T01:30:20.0431130Z [2022-11-23 01:25:26,779] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 248
2022-11-23T01:30:20.0431483Z [2022-11-23 01:25:26,782] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x6/cx6djbwrfcnrctpdo77fdvm562r3zla6tnjcpxjlle3xxikutpra.py
2022-11-23T01:30:20.0431748Z [2022-11-23 01:25:26,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 248
2022-11-23T01:30:20.0432021Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0432336Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0432549Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0432791Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0433057Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0433366Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0433724Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0434116Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0434352Z [2022-11-23 01:25:26,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0434584Z [2022-11-23 01:25:26,794] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0434836Z [2022-11-23 01:25:26,794] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0435087Z [2022-11-23 01:25:26,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0435273Z [2022-11-23 01:25:26,806] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0435408Z  __compiled_fn_256 <eval_with_key>.2152 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0435497Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0435598Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0435685Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0435702Z 
2022-11-23T01:30:20.0436015Z [2022-11-23 01:25:26,807] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0436108Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0436198Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0436285Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0436376Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0436459Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0436545Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0436607Z              12 RETURN_VALUE
2022-11-23T01:30:20.0436614Z 
2022-11-23T01:30:20.0436674Z  
2022-11-23T01:30:20.0436998Z [2022-11-23 01:25:26,807] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0437106Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_256)
2022-11-23T01:30:20.0437194Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0437280Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0437358Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0437443Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0437518Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0437591Z              12 RETURN_VALUE
2022-11-23T01:30:20.0437596Z 
2022-11-23T01:30:20.0437655Z  
2022-11-23T01:30:20.0437836Z [2022-11-23 01:25:26,807] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0437903Z  - 
2022-11-23T01:30:20.0438019Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0438084Z             {
2022-11-23T01:30:20.0438212Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0438430Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0438552Z                 'obj_weakref': None
2022-11-23T01:30:20.0438775Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0438839Z             }
2022-11-23T01:30:20.0438901Z             
2022-11-23T01:30:20.0438966Z  - 
2022-11-23T01:30:20.0439077Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0439139Z             {
2022-11-23T01:30:20.0439281Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0439388Z                 'code': None,
2022-11-23T01:30:20.0439599Z                 'obj_weakref': <weakref at 0x7ff58fdc0f40; to 'Tensor' at 0x7ff5a815b060>
2022-11-23T01:30:20.0439850Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0439941Z             }
2022-11-23T01:30:20.0439991Z             
2022-11-23T01:30:20.0440057Z  - 
2022-11-23T01:30:20.0440182Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0440244Z             {
2022-11-23T01:30:20.0440377Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0440544Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:20.0440765Z                 'obj_weakref': <weakref at 0x7ff5a8659cb0; to 'Sequential' at 0x7ff58f929ed0>
2022-11-23T01:30:20.0440985Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0441048Z             }
2022-11-23T01:30:20.0441112Z             
2022-11-23T01:30:20.0441182Z  - 
2022-11-23T01:30:20.0441305Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0441369Z             {
2022-11-23T01:30:20.0441507Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0441711Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0441831Z                 'obj_weakref': None
2022-11-23T01:30:20.0442053Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0442117Z             }
2022-11-23T01:30:20.0442182Z             
2022-11-23T01:30:20.0442252Z  - 
2022-11-23T01:30:20.0442398Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0442447Z             {
2022-11-23T01:30:20.0442567Z                 'guard_types': None,
2022-11-23T01:30:20.0442675Z                 'code': None,
2022-11-23T01:30:20.0442793Z                 'obj_weakref': None
2022-11-23T01:30:20.0442913Z                 'guarded_class': None
2022-11-23T01:30:20.0442976Z             }
2022-11-23T01:30:20.0443041Z             
2022-11-23T01:30:20.0443097Z  - 
2022-11-23T01:30:20.0443241Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0443306Z             {
2022-11-23T01:30:20.0443427Z                 'guard_types': None,
2022-11-23T01:30:20.0443535Z                 'code': None,
2022-11-23T01:30:20.0443652Z                 'obj_weakref': None
2022-11-23T01:30:20.0443762Z                 'guarded_class': None
2022-11-23T01:30:20.0443826Z             }
2022-11-23T01:30:20.0443888Z             
2022-11-23T01:30:20.0444147Z [2022-11-23 01:25:26,818] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 249
2022-11-23T01:30:20.0444516Z [2022-11-23 01:25:26,820] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ei/cei5z5jzbjgcaizc3qzfyrk2trvs7u3v65ascbxqrcbntxfui6z3.py
2022-11-23T01:30:20.0444778Z [2022-11-23 01:25:26,820] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 249
2022-11-23T01:30:20.0445011Z [2022-11-23 01:25:26,823] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0445327Z [2022-11-23 01:25:26,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0445577Z [2022-11-23 01:25:26,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0445808Z [2022-11-23 01:25:26,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0446078Z [2022-11-23 01:25:26,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0446390Z [2022-11-23 01:25:26,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0446725Z [2022-11-23 01:25:26,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0447036Z [2022-11-23 01:25:26,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0447306Z [2022-11-23 01:25:26,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0447543Z [2022-11-23 01:25:26,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0447799Z [2022-11-23 01:25:26,827] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0448046Z [2022-11-23 01:25:26,836] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0448234Z [2022-11-23 01:25:26,836] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0448356Z  __compiled_fn_257 <eval_with_key>.2163 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0448446Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0448545Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0448640Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0448648Z 
2022-11-23T01:30:20.0448973Z [2022-11-23 01:25:26,837] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0449069Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0449158Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0449245Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0449323Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0449408Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0449495Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0449572Z              12 RETURN_VALUE
2022-11-23T01:30:20.0449577Z 
2022-11-23T01:30:20.0449636Z  
2022-11-23T01:30:20.0449955Z [2022-11-23 01:25:26,837] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0450064Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_257)
2022-11-23T01:30:20.0450143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0450231Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0450309Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0450398Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0450486Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0450561Z              12 RETURN_VALUE
2022-11-23T01:30:20.0450565Z 
2022-11-23T01:30:20.0450625Z  
2022-11-23T01:30:20.0450806Z [2022-11-23 01:25:26,837] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0450862Z  - 
2022-11-23T01:30:20.0450979Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0451042Z             {
2022-11-23T01:30:20.0451181Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0451367Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0451485Z                 'obj_weakref': None
2022-11-23T01:30:20.0451706Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0451760Z             }
2022-11-23T01:30:20.0451822Z             
2022-11-23T01:30:20.0451890Z  - 
2022-11-23T01:30:20.0452045Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0452108Z             {
2022-11-23T01:30:20.0452248Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0452341Z                 'code': None,
2022-11-23T01:30:20.0452551Z                 'obj_weakref': <weakref at 0x7ff59c045350; to 'Tensor' at 0x7ff5a979e610>
2022-11-23T01:30:20.0452803Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0452866Z             }
2022-11-23T01:30:20.0457926Z             
2022-11-23T01:30:20.0458046Z  - 
2022-11-23T01:30:20.0458182Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0458247Z             {
2022-11-23T01:30:20.0458390Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0458670Z                 'code': ['___check_obj_id(model, 140692659335424)'],
2022-11-23T01:30:20.0458900Z                 'obj_weakref': <weakref at 0x7ff5a80a0d10; to 'Sequential' at 0x7ff58ffb7100>
2022-11-23T01:30:20.0459144Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0459197Z             }
2022-11-23T01:30:20.0459259Z             
2022-11-23T01:30:20.0459331Z  - 
2022-11-23T01:30:20.0459456Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0459518Z             {
2022-11-23T01:30:20.0459657Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0459878Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0459985Z                 'obj_weakref': None
2022-11-23T01:30:20.0460206Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0460269Z             }
2022-11-23T01:30:20.0460335Z             
2022-11-23T01:30:20.0460403Z  - 
2022-11-23T01:30:20.0460548Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0460609Z             {
2022-11-23T01:30:20.0460717Z                 'guard_types': None,
2022-11-23T01:30:20.0460822Z                 'code': None,
2022-11-23T01:30:20.0460938Z                 'obj_weakref': None
2022-11-23T01:30:20.0461059Z                 'guarded_class': None
2022-11-23T01:30:20.0461120Z             }
2022-11-23T01:30:20.0461182Z             
2022-11-23T01:30:20.0461238Z  - 
2022-11-23T01:30:20.0461380Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0461441Z             {
2022-11-23T01:30:20.0461559Z                 'guard_types': None,
2022-11-23T01:30:20.0461662Z                 'code': None,
2022-11-23T01:30:20.0461777Z                 'obj_weakref': None
2022-11-23T01:30:20.0461897Z                 'guarded_class': None
2022-11-23T01:30:20.0461947Z             }
2022-11-23T01:30:20.0462007Z             
2022-11-23T01:30:20.0462278Z [2022-11-23 01:25:26,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 250
2022-11-23T01:30:20.0462653Z [2022-11-23 01:25:26,849] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ub/cublgfhnk6vaa7gbgy3yy2mngomzcop6o6faiw3pgtvn6l3gndsr.py
2022-11-23T01:30:20.0462919Z [2022-11-23 01:25:26,849] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 250
2022-11-23T01:30:20.0463155Z [2022-11-23 01:25:26,853] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0463470Z [2022-11-23 01:25:26,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0463686Z [2022-11-23 01:25:26,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0463928Z [2022-11-23 01:25:26,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0464186Z [2022-11-23 01:25:26,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0464543Z [2022-11-23 01:25:26,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0464881Z [2022-11-23 01:25:26,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0465193Z [2022-11-23 01:25:26,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0465436Z [2022-11-23 01:25:26,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0465668Z [2022-11-23 01:25:26,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0465920Z [2022-11-23 01:25:26,862] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0466199Z [2022-11-23 01:25:26,873] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0466385Z [2022-11-23 01:25:26,873] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0466507Z  __compiled_fn_258 <eval_with_key>.2174 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0466596Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0466695Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0466793Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0466800Z 
2022-11-23T01:30:20.0467126Z [2022-11-23 01:25:26,874] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0467219Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0467306Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0467394Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0467473Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0467557Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0467644Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0467717Z              12 RETURN_VALUE
2022-11-23T01:30:20.0467722Z 
2022-11-23T01:30:20.0467782Z  
2022-11-23T01:30:20.0468103Z [2022-11-23 01:25:26,874] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0468210Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_258)
2022-11-23T01:30:20.0468298Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0468375Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0468449Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0468536Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0468624Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0468699Z              12 RETURN_VALUE
2022-11-23T01:30:20.0468705Z 
2022-11-23T01:30:20.0468764Z  
2022-11-23T01:30:20.0468947Z [2022-11-23 01:25:26,874] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0469003Z  - 
2022-11-23T01:30:20.0469120Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0469181Z             {
2022-11-23T01:30:20.0469318Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0469506Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0469623Z                 'obj_weakref': None
2022-11-23T01:30:20.0469845Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0469895Z             }
2022-11-23T01:30:20.0469957Z             
2022-11-23T01:30:20.0470024Z  - 
2022-11-23T01:30:20.0470145Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0470207Z             {
2022-11-23T01:30:20.0470349Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0470456Z                 'code': None,
2022-11-23T01:30:20.0470685Z                 'obj_weakref': <weakref at 0x7ff58fc4cf40; to 'Tensor' at 0x7ff5a865a340>
2022-11-23T01:30:20.0470942Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0471004Z             }
2022-11-23T01:30:20.0471066Z             
2022-11-23T01:30:20.0471132Z  - 
2022-11-23T01:30:20.0471249Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0471310Z             {
2022-11-23T01:30:20.0471433Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0471601Z                 'code': ['___check_obj_id(model, 140693063387408)'],
2022-11-23T01:30:20.0471820Z                 'obj_weakref': <weakref at 0x7ff59c0c5da0; to 'Sequential' at 0x7ff5a810c910>
2022-11-23T01:30:20.0472055Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0472144Z             }
2022-11-23T01:30:20.0472207Z             
2022-11-23T01:30:20.0472274Z  - 
2022-11-23T01:30:20.0472383Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0472447Z             {
2022-11-23T01:30:20.0472583Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0472798Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0472915Z                 'obj_weakref': None
2022-11-23T01:30:20.0473132Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0473195Z             }
2022-11-23T01:30:20.0473245Z             
2022-11-23T01:30:20.0473312Z  - 
2022-11-23T01:30:20.0473456Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0473517Z             {
2022-11-23T01:30:20.0473635Z                 'guard_types': None,
2022-11-23T01:30:20.0473739Z                 'code': None,
2022-11-23T01:30:20.0473938Z                 'obj_weakref': None
2022-11-23T01:30:20.0474055Z                 'guarded_class': None
2022-11-23T01:30:20.0474118Z             }
2022-11-23T01:30:20.0474180Z             
2022-11-23T01:30:20.0474250Z  - 
2022-11-23T01:30:20.0474396Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0474456Z             {
2022-11-23T01:30:20.0474578Z                 'guard_types': None,
2022-11-23T01:30:20.0474670Z                 'code': None,
2022-11-23T01:30:20.0474785Z                 'obj_weakref': None
2022-11-23T01:30:20.0474907Z                 'guarded_class': None
2022-11-23T01:30:20.0474969Z             }
2022-11-23T01:30:20.0475032Z             
2022-11-23T01:30:20.0475292Z [2022-11-23 01:25:26,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 251
2022-11-23T01:30:20.0475664Z [2022-11-23 01:25:26,887] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sz/cszjvj4sxzbnyfljgk4endmcpkgdmmejjt6q3ygmlemdjqt2bwb6.py
2022-11-23T01:30:20.0475917Z [2022-11-23 01:25:26,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 251
2022-11-23T01:30:20.0476154Z [2022-11-23 01:25:26,891] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0476468Z [2022-11-23 01:25:26,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0476682Z [2022-11-23 01:25:26,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0476922Z [2022-11-23 01:25:26,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0477188Z [2022-11-23 01:25:26,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0477498Z [2022-11-23 01:25:26,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0477836Z [2022-11-23 01:25:26,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0478180Z [2022-11-23 01:25:26,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0478424Z [2022-11-23 01:25:26,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0478643Z [2022-11-23 01:25:26,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0478892Z [2022-11-23 01:25:26,896] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0479138Z [2022-11-23 01:25:26,905] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0479323Z [2022-11-23 01:25:26,905] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0479486Z  __compiled_fn_259 <eval_with_key>.2185 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0479575Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0479676Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0479773Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0479778Z 
2022-11-23T01:30:20.0480103Z [2022-11-23 01:25:26,905] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0480185Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0480275Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0480361Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0480453Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0480536Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0480622Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0480697Z              12 RETURN_VALUE
2022-11-23T01:30:20.0480704Z 
2022-11-23T01:30:20.0480752Z  
2022-11-23T01:30:20.0481076Z [2022-11-23 01:25:26,905] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0481184Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_259)
2022-11-23T01:30:20.0481273Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0481359Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0481434Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0481520Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0481596Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0481669Z              12 RETURN_VALUE
2022-11-23T01:30:20.0481674Z 
2022-11-23T01:30:20.0481732Z  
2022-11-23T01:30:20.0481914Z [2022-11-23 01:25:26,906] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0481982Z  - 
2022-11-23T01:30:20.0482100Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0482165Z             {
2022-11-23T01:30:20.0482304Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0482480Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0482597Z                 'obj_weakref': None
2022-11-23T01:30:20.0482822Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0482888Z             }
2022-11-23T01:30:20.0482950Z             
2022-11-23T01:30:20.0483019Z  - 
2022-11-23T01:30:20.0483140Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0483191Z             {
2022-11-23T01:30:20.0483330Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0483436Z                 'code': None,
2022-11-23T01:30:20.0483647Z                 'obj_weakref': <weakref at 0x7ff58f95f3d0; to 'Tensor' at 0x7ff5a86c5c10>
2022-11-23T01:30:20.0483898Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0483963Z             }
2022-11-23T01:30:20.0484025Z             
2022-11-23T01:30:20.0484081Z  - 
2022-11-23T01:30:20.0484199Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0484300Z             {
2022-11-23T01:30:20.0484436Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0484605Z                 'code': ['___check_obj_id(model, 140693065710080)'],
2022-11-23T01:30:20.0484823Z                 'obj_weakref': <weakref at 0x7ff5a8540590; to 'Sequential' at 0x7ff5a8343a00>
2022-11-23T01:30:20.0485054Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0485105Z             }
2022-11-23T01:30:20.0485167Z             
2022-11-23T01:30:20.0485233Z  - 
2022-11-23T01:30:20.0485353Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0485413Z             {
2022-11-23T01:30:20.0485548Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0485765Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0485898Z                 'obj_weakref': None
2022-11-23T01:30:20.0486120Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0486184Z             }
2022-11-23T01:30:20.0486247Z             
2022-11-23T01:30:20.0486314Z  - 
2022-11-23T01:30:20.0486456Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0486517Z             {
2022-11-23T01:30:20.0486623Z                 'guard_types': None,
2022-11-23T01:30:20.0486727Z                 'code': None,
2022-11-23T01:30:20.0486842Z                 'obj_weakref': None
2022-11-23T01:30:20.0486959Z                 'guarded_class': None
2022-11-23T01:30:20.0487021Z             }
2022-11-23T01:30:20.0487081Z             
2022-11-23T01:30:20.0487136Z  - 
2022-11-23T01:30:20.0487280Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0487343Z             {
2022-11-23T01:30:20.0487462Z                 'guard_types': None,
2022-11-23T01:30:20.0487565Z                 'code': None,
2022-11-23T01:30:20.0487681Z                 'obj_weakref': None
2022-11-23T01:30:20.0487801Z                 'guarded_class': None
2022-11-23T01:30:20.0487851Z             }
2022-11-23T01:30:20.0487912Z             
2022-11-23T01:30:20.0488171Z [2022-11-23 01:25:26,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 252
2022-11-23T01:30:20.0488537Z [2022-11-23 01:25:26,919] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2mbuz2oibdwsbgutv2klxva22onbe7pqggxewl6xak2zu6ldf6h.py
2022-11-23T01:30:20.0488799Z [2022-11-23 01:25:26,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 252
2022-11-23T01:30:20.0489034Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0489347Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0489569Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0489810Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0490063Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0490374Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0490710Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0491018Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0491264Z [2022-11-23 01:25:26,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0491523Z [2022-11-23 01:25:26,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0491777Z [2022-11-23 01:25:26,931] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0492023Z [2022-11-23 01:25:26,945] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0492209Z [2022-11-23 01:25:26,945] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0492341Z  __compiled_fn_260 <eval_with_key>.2196 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0492418Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0492514Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0492610Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0492644Z 
2022-11-23T01:30:20.0492966Z [2022-11-23 01:25:26,945] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0493060Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0493148Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0493233Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0493312Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0493396Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0493481Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0493554Z              12 RETURN_VALUE
2022-11-23T01:30:20.0493559Z 
2022-11-23T01:30:20.0493618Z  
2022-11-23T01:30:20.0493940Z [2022-11-23 01:25:26,945] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0494046Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_260)
2022-11-23T01:30:20.0494139Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0494216Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0494293Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0494378Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0494467Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0494539Z              12 RETURN_VALUE
2022-11-23T01:30:20.0494544Z 
2022-11-23T01:30:20.0494603Z  
2022-11-23T01:30:20.0494785Z [2022-11-23 01:25:26,946] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0494842Z  - 
2022-11-23T01:30:20.0494958Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0495019Z             {
2022-11-23T01:30:20.0495157Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0495343Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0495460Z                 'obj_weakref': None
2022-11-23T01:30:20.0495683Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0495736Z             }
2022-11-23T01:30:20.0495798Z             
2022-11-23T01:30:20.0495867Z  - 
2022-11-23T01:30:20.0495991Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0496053Z             {
2022-11-23T01:30:20.0496193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0496301Z                 'code': None,
2022-11-23T01:30:20.0496607Z                 'obj_weakref': <weakref at 0x7ff58f984ef0; to 'Tensor' at 0x7ff5a865a340>
2022-11-23T01:30:20.0496860Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0496922Z             }
2022-11-23T01:30:20.0496985Z             
2022-11-23T01:30:20.0497053Z  - 
2022-11-23T01:30:20.0497172Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0497236Z             {
2022-11-23T01:30:20.0497355Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0497527Z                 'code': ['___check_obj_id(model, 140692652779376)'],
2022-11-23T01:30:20.0497747Z                 'obj_weakref': <weakref at 0x7ff5a98c7c90; to 'Sequential' at 0x7ff58f976770>
2022-11-23T01:30:20.0498029Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0498097Z             }
2022-11-23T01:30:20.0498160Z             
2022-11-23T01:30:20.0498227Z  - 
2022-11-23T01:30:20.0498337Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0498399Z             {
2022-11-23T01:30:20.0498533Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0498750Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0498887Z                 'obj_weakref': None
2022-11-23T01:30:20.0499205Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0499269Z             }
2022-11-23T01:30:20.0499376Z             
2022-11-23T01:30:20.0499437Z  - 
2022-11-23T01:30:20.0499582Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0499644Z             {
2022-11-23T01:30:20.0499765Z                 'guard_types': None,
2022-11-23T01:30:20.0499872Z                 'code': None,
2022-11-23T01:30:20.0499988Z                 'obj_weakref': None
2022-11-23T01:30:20.0500098Z                 'guarded_class': None
2022-11-23T01:30:20.0500160Z             }
2022-11-23T01:30:20.0500222Z             
2022-11-23T01:30:20.0500289Z  - 
2022-11-23T01:30:20.0500433Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0500496Z             {
2022-11-23T01:30:20.0500612Z                 'guard_types': None,
2022-11-23T01:30:20.0500704Z                 'code': None,
2022-11-23T01:30:20.0500819Z                 'obj_weakref': None
2022-11-23T01:30:20.0500944Z                 'guarded_class': None
2022-11-23T01:30:20.0501007Z             }
2022-11-23T01:30:20.0501068Z             
2022-11-23T01:30:20.0501332Z [2022-11-23 01:25:26,956] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 253
2022-11-23T01:30:20.0501704Z [2022-11-23 01:25:26,960] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g5/cg5vzivec3ponxbnxltyxsyreqyg2pc6lfixklqn4fc6mrxfw5cm.py
2022-11-23T01:30:20.0501957Z [2022-11-23 01:25:26,960] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 253
2022-11-23T01:30:20.0502191Z [2022-11-23 01:25:26,963] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0502508Z [2022-11-23 01:25:26,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0502720Z [2022-11-23 01:25:26,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0502961Z [2022-11-23 01:25:26,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0503230Z [2022-11-23 01:25:26,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0503542Z [2022-11-23 01:25:26,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0503876Z [2022-11-23 01:25:26,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0504185Z [2022-11-23 01:25:26,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0504427Z [2022-11-23 01:25:26,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0504646Z [2022-11-23 01:25:26,967] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0504895Z [2022-11-23 01:25:26,967] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0505174Z [2022-11-23 01:25:26,973] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0505362Z [2022-11-23 01:25:26,973] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0505495Z  __compiled_fn_261 <eval_with_key>.2207 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0505582Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0505680Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0505778Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0505784Z 
2022-11-23T01:30:20.0506109Z [2022-11-23 01:25:26,974] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0506190Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0506280Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0506395Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0506486Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0506572Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0506657Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0506730Z              12 RETURN_VALUE
2022-11-23T01:30:20.0506736Z 
2022-11-23T01:30:20.0506783Z  
2022-11-23T01:30:20.0507106Z [2022-11-23 01:25:26,974] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0507213Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_261)
2022-11-23T01:30:20.0507299Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0507387Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0507462Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0507547Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0507633Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0507698Z              12 RETURN_VALUE
2022-11-23T01:30:20.0507703Z 
2022-11-23T01:30:20.0507762Z  
2022-11-23T01:30:20.0507945Z [2022-11-23 01:25:26,974] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0508013Z  - 
2022-11-23T01:30:20.0508129Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0508191Z             {
2022-11-23T01:30:20.0508331Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0508504Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0508621Z                 'obj_weakref': None
2022-11-23T01:30:20.0508845Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0508908Z             }
2022-11-23T01:30:20.0508969Z             
2022-11-23T01:30:20.0509036Z  - 
2022-11-23T01:30:20.0509158Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0509209Z             {
2022-11-23T01:30:20.0509350Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0509461Z                 'code': None,
2022-11-23T01:30:20.0509673Z                 'obj_weakref': <weakref at 0x7ff58f95fc90; to 'Tensor' at 0x7ff5a8073a10>
2022-11-23T01:30:20.0509925Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0509989Z             }
2022-11-23T01:30:20.0510050Z             
2022-11-23T01:30:20.0510105Z  - 
2022-11-23T01:30:20.0510223Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0510285Z             {
2022-11-23T01:30:20.0510418Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0510585Z                 'code': ['___check_obj_id(model, 140693063604192)'],
2022-11-23T01:30:20.0510803Z                 'obj_weakref': <weakref at 0x7ff58f95cc20; to 'Sequential' at 0x7ff5a81417e0>
2022-11-23T01:30:20.0511035Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0511089Z             }
2022-11-23T01:30:20.0511150Z             
2022-11-23T01:30:20.0511216Z  - 
2022-11-23T01:30:20.0511337Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0511426Z             {
2022-11-23T01:30:20.0511562Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0511778Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0511883Z                 'obj_weakref': None
2022-11-23T01:30:20.0512103Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0512163Z             }
2022-11-23T01:30:20.0512225Z             
2022-11-23T01:30:20.0512291Z  - 
2022-11-23T01:30:20.0512434Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0512495Z             {
2022-11-23T01:30:20.0512601Z                 'guard_types': None,
2022-11-23T01:30:20.0512705Z                 'code': None,
2022-11-23T01:30:20.0512821Z                 'obj_weakref': None
2022-11-23T01:30:20.0512970Z                 'guarded_class': None
2022-11-23T01:30:20.0513032Z             }
2022-11-23T01:30:20.0513093Z             
2022-11-23T01:30:20.0513158Z  - 
2022-11-23T01:30:20.0513291Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0513351Z             {
2022-11-23T01:30:20.0513469Z                 'guard_types': None,
2022-11-23T01:30:20.0513574Z                 'code': None,
2022-11-23T01:30:20.0513689Z                 'obj_weakref': None
2022-11-23T01:30:20.0513876Z                 'guarded_class': None
2022-11-23T01:30:20.0513928Z             }
2022-11-23T01:30:20.0513991Z             
2022-11-23T01:30:20.0514254Z [2022-11-23 01:25:26,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 254
2022-11-23T01:30:20.0514618Z [2022-11-23 01:25:26,986] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o4/co4blu4adbwct62o2zqz33a5r53sxxsw2m7rf5yoeyrq2mug66bt.py
2022-11-23T01:30:20.0514886Z [2022-11-23 01:25:26,986] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 254
2022-11-23T01:30:20.0515123Z [2022-11-23 01:25:26,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0515435Z [2022-11-23 01:25:26,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0515654Z [2022-11-23 01:25:26,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0515895Z [2022-11-23 01:25:26,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0516149Z [2022-11-23 01:25:26,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0516458Z [2022-11-23 01:25:26,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0516793Z [2022-11-23 01:25:26,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0517104Z [2022-11-23 01:25:26,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0517348Z [2022-11-23 01:25:26,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0517579Z [2022-11-23 01:25:26,998] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0517831Z [2022-11-23 01:25:26,999] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0518080Z [2022-11-23 01:25:27,009] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0518267Z [2022-11-23 01:25:27,009] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0518401Z  __compiled_fn_262 <eval_with_key>.2218 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0518477Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0518614Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0518714Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0518720Z 
2022-11-23T01:30:20.0519042Z [2022-11-23 01:25:27,010] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0519135Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0519224Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0519308Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0519398Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0519470Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0519554Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0519628Z              12 RETURN_VALUE
2022-11-23T01:30:20.0519659Z 
2022-11-23T01:30:20.0519719Z  
2022-11-23T01:30:20.0520046Z [2022-11-23 01:25:27,010] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0520154Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_262)
2022-11-23T01:30:20.0520243Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0520319Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0520395Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0520480Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0520569Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0520643Z              12 RETURN_VALUE
2022-11-23T01:30:20.0520647Z 
2022-11-23T01:30:20.0520706Z  
2022-11-23T01:30:20.0520886Z [2022-11-23 01:25:27,010] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0520942Z  - 
2022-11-23T01:30:20.0521059Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0521123Z             {
2022-11-23T01:30:20.0521262Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0521449Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0521568Z                 'obj_weakref': None
2022-11-23T01:30:20.0521794Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0521858Z             }
2022-11-23T01:30:20.0521907Z             
2022-11-23T01:30:20.0521974Z  - 
2022-11-23T01:30:20.0522096Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0522157Z             {
2022-11-23T01:30:20.0522297Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0522401Z                 'code': None,
2022-11-23T01:30:20.0522601Z                 'obj_weakref': <weakref at 0x7ff5a87f3c40; to 'Tensor' at 0x7ff58fd089a0>
2022-11-23T01:30:20.0522851Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0522916Z             }
2022-11-23T01:30:20.0522982Z             
2022-11-23T01:30:20.0523049Z  - 
2022-11-23T01:30:20.0523166Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0523230Z             {
2022-11-23T01:30:20.0523351Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0523519Z                 'code': ['___check_obj_id(model, 140693063387408)'],
2022-11-23T01:30:20.0523737Z                 'obj_weakref': <weakref at 0x7ff5a979fe70; to 'Sequential' at 0x7ff5a810c910>
2022-11-23T01:30:20.0523970Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0524032Z             }
2022-11-23T01:30:20.0524095Z             
2022-11-23T01:30:20.0524161Z  - 
2022-11-23T01:30:20.0524282Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0524332Z             {
2022-11-23T01:30:20.0524466Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0524687Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0524809Z                 'obj_weakref': None
2022-11-23T01:30:20.0525065Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0525128Z             }
2022-11-23T01:30:20.0525190Z             
2022-11-23T01:30:20.0525247Z  - 
2022-11-23T01:30:20.0525390Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0525454Z             {
2022-11-23T01:30:20.0525572Z                 'guard_types': None,
2022-11-23T01:30:20.0525676Z                 'code': None,
2022-11-23T01:30:20.0525790Z                 'obj_weakref': None
2022-11-23T01:30:20.0525898Z                 'guarded_class': None
2022-11-23T01:30:20.0525960Z             }
2022-11-23T01:30:20.0526020Z             
2022-11-23T01:30:20.0526086Z  - 
2022-11-23T01:30:20.0526229Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0526290Z             {
2022-11-23T01:30:20.0526436Z                 'guard_types': None,
2022-11-23T01:30:20.0526528Z                 'code': None,
2022-11-23T01:30:20.0526645Z                 'obj_weakref': None
2022-11-23T01:30:20.0526767Z                 'guarded_class': None
2022-11-23T01:30:20.0526829Z             }
2022-11-23T01:30:20.0526892Z             
2022-11-23T01:30:20.0527151Z [2022-11-23 01:25:27,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 255
2022-11-23T01:30:20.0527157Z 
2022-11-23T01:30:20.0527247Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0527302Z import torch
2022-11-23T01:30:20.0527370Z import random
2022-11-23T01:30:20.0527483Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0527602Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0527607Z 
2022-11-23T01:30:20.0527684Z aten = torch.ops.aten
2022-11-23T01:30:20.0527817Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0527909Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0527916Z 
2022-11-23T01:30:20.0527920Z 
2022-11-23T01:30:20.0528006Z async_compile.wait(globals())
2022-11-23T01:30:20.0528066Z del async_compile
2022-11-23T01:30:20.0528072Z 
2022-11-23T01:30:20.0528141Z def call(args):
2022-11-23T01:30:20.0528221Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0528290Z     args.clear()
2022-11-23T01:30:20.0528503Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'relu', [], '')
2022-11-23T01:30:20.0528570Z     del arg0_1
2022-11-23T01:30:20.0528635Z     del arg1_1
2022-11-23T01:30:20.0528687Z     del arg2_1
2022-11-23T01:30:20.0528758Z     return (buf0, )
2022-11-23T01:30:20.0528763Z 
2022-11-23T01:30:20.0528767Z 
2022-11-23T01:30:20.0528844Z if __name__ == "__main__":
2022-11-23T01:30:20.0528955Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0529075Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0529278Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0529476Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0529684Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0529793Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0529809Z 
2022-11-23T01:30:20.0529814Z 
2022-11-23T01:30:20.0529894Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0529962Z import torch
2022-11-23T01:30:20.0530030Z import random
2022-11-23T01:30:20.0530143Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0530261Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0530266Z 
2022-11-23T01:30:20.0530342Z aten = torch.ops.aten
2022-11-23T01:30:20.0530473Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0530551Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0530556Z 
2022-11-23T01:30:20.0530570Z 
2022-11-23T01:30:20.0530649Z async_compile.wait(globals())
2022-11-23T01:30:20.0530719Z del async_compile
2022-11-23T01:30:20.0530724Z 
2022-11-23T01:30:20.0530793Z def call(args):
2022-11-23T01:30:20.0530929Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0531001Z     args.clear()
2022-11-23T01:30:20.0531211Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'relu', [], '')
2022-11-23T01:30:20.0531276Z     del arg0_1
2022-11-23T01:30:20.0531330Z     del arg1_1
2022-11-23T01:30:20.0531398Z     return (buf0, )
2022-11-23T01:30:20.0531403Z 
2022-11-23T01:30:20.0531407Z 
2022-11-23T01:30:20.0531482Z if __name__ == "__main__":
2022-11-23T01:30:20.0531593Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0531713Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0531913Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0532118Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0532246Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0532264Z 
2022-11-23T01:30:20.0532268Z 
2022-11-23T01:30:20.0532349Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0532420Z import torch
2022-11-23T01:30:20.0532489Z import random
2022-11-23T01:30:20.0532600Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0532719Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0532724Z 
2022-11-23T01:30:20.0532801Z aten = torch.ops.aten
2022-11-23T01:30:20.0532934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0533012Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0533029Z 
2022-11-23T01:30:20.0533033Z 
2022-11-23T01:30:20.0533107Z async_compile.wait(globals())
2022-11-23T01:30:20.0533178Z del async_compile
2022-11-23T01:30:20.0533183Z 
2022-11-23T01:30:20.0533254Z def call(args):
2022-11-23T01:30:20.0533334Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0533405Z     args.clear()
2022-11-23T01:30:20.0533615Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'relu', [], '')
2022-11-23T01:30:20.0533680Z     del arg0_1
2022-11-23T01:30:20.0533737Z     del arg1_1
2022-11-23T01:30:20.0533802Z     del arg2_1
2022-11-23T01:30:20.0533874Z     return (buf0, )
2022-11-23T01:30:20.0533879Z 
2022-11-23T01:30:20.0533883Z 
2022-11-23T01:30:20.0533956Z if __name__ == "__main__":
2022-11-23T01:30:20.0534067Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0534187Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0534385Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0534567Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0534763Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0534885Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0534892Z 
2022-11-23T01:30:20.0534897Z 
2022-11-23T01:30:20.0534989Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0535057Z import torch
2022-11-23T01:30:20.0535124Z import random
2022-11-23T01:30:20.0535237Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0535354Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0535359Z 
2022-11-23T01:30:20.0535422Z aten = torch.ops.aten
2022-11-23T01:30:20.0535552Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0535641Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0535646Z 
2022-11-23T01:30:20.0535650Z 
2022-11-23T01:30:20.0535735Z async_compile.wait(globals())
2022-11-23T01:30:20.0535805Z del async_compile
2022-11-23T01:30:20.0535810Z 
2022-11-23T01:30:20.0535878Z def call(args):
2022-11-23T01:30:20.0535950Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0536018Z     args.clear()
2022-11-23T01:30:20.0536216Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'relu', [], '')
2022-11-23T01:30:20.0536284Z     del arg0_1
2022-11-23T01:30:20.0536348Z     del arg1_1
2022-11-23T01:30:20.0536529Z     return (buf0, )
2022-11-23T01:30:20.0536534Z 
2022-11-23T01:30:20.0536587Z 
2022-11-23T01:30:20.0536665Z if __name__ == "__main__":
2022-11-23T01:30:20.0536776Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0536895Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0537098Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0537285Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0537398Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0537402Z 
2022-11-23T01:30:20.0537407Z 
2022-11-23T01:30:20.0537499Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0537568Z import torch
2022-11-23T01:30:20.0537637Z import random
2022-11-23T01:30:20.0537749Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0537901Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0537906Z 
2022-11-23T01:30:20.0537982Z aten = torch.ops.aten
2022-11-23T01:30:20.0538102Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0538191Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0538196Z 
2022-11-23T01:30:20.0538199Z 
2022-11-23T01:30:20.0538285Z async_compile.wait(globals())
2022-11-23T01:30:20.0538356Z del async_compile
2022-11-23T01:30:20.0538361Z 
2022-11-23T01:30:20.0538429Z def call(args):
2022-11-23T01:30:20.0538509Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0538578Z     args.clear()
2022-11-23T01:30:20.0538786Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'sigmoid', [], '')
2022-11-23T01:30:20.0538852Z     del arg0_1
2022-11-23T01:30:20.0538917Z     del arg1_1
2022-11-23T01:30:20.0538982Z     del arg2_1
2022-11-23T01:30:20.0539051Z     return (buf0, )
2022-11-23T01:30:20.0539056Z 
2022-11-23T01:30:20.0539062Z 
2022-11-23T01:30:20.0539135Z if __name__ == "__main__":
2022-11-23T01:30:20.0539244Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0539367Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0539553Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0539746Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0539949Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0540069Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0540075Z 
2022-11-23T01:30:20.0540079Z 
2022-11-23T01:30:20.0540170Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0540238Z import torch
2022-11-23T01:30:20.0540307Z import random
2022-11-23T01:30:20.0540417Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0540523Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0540530Z 
2022-11-23T01:30:20.0540604Z aten = torch.ops.aten
2022-11-23T01:30:20.0540734Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0540826Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0540831Z 
2022-11-23T01:30:20.0540835Z 
2022-11-23T01:30:20.0540920Z async_compile.wait(globals())
2022-11-23T01:30:20.0540990Z del async_compile
2022-11-23T01:30:20.0540995Z 
2022-11-23T01:30:20.0541063Z def call(args):
2022-11-23T01:30:20.0541135Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0541193Z     args.clear()
2022-11-23T01:30:20.0541408Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'sigmoid', [], '')
2022-11-23T01:30:20.0541474Z     del arg0_1
2022-11-23T01:30:20.0541539Z     del arg1_1
2022-11-23T01:30:20.0541607Z     return (buf0, )
2022-11-23T01:30:20.0541612Z 
2022-11-23T01:30:20.0541617Z 
2022-11-23T01:30:20.0541690Z if __name__ == "__main__":
2022-11-23T01:30:20.0541798Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0541907Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0542107Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0542342Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0542459Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0542464Z 
2022-11-23T01:30:20.0542468Z 
2022-11-23T01:30:20.0542559Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0542626Z import torch
2022-11-23T01:30:20.0542694Z import random
2022-11-23T01:30:20.0542806Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0542911Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0542915Z 
2022-11-23T01:30:20.0542990Z aten = torch.ops.aten
2022-11-23T01:30:20.0543118Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0543207Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0543238Z 
2022-11-23T01:30:20.0543242Z 
2022-11-23T01:30:20.0543329Z async_compile.wait(globals())
2022-11-23T01:30:20.0543398Z del async_compile
2022-11-23T01:30:20.0543403Z 
2022-11-23T01:30:20.0543472Z def call(args):
2022-11-23T01:30:20.0543551Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0543608Z     args.clear()
2022-11-23T01:30:20.0543826Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'sigmoid', [], '')
2022-11-23T01:30:20.0543891Z     del arg0_1
2022-11-23T01:30:20.0543955Z     del arg1_1
2022-11-23T01:30:20.0544018Z     del arg2_1
2022-11-23T01:30:20.0544086Z     return (buf0, )
2022-11-23T01:30:20.0544091Z 
2022-11-23T01:30:20.0544095Z 
2022-11-23T01:30:20.0544167Z if __name__ == "__main__":
2022-11-23T01:30:20.0544267Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0544386Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0544587Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0544781Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0544978Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0545098Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0545103Z 
2022-11-23T01:30:20.0545107Z 
2022-11-23T01:30:20.0545198Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0545266Z import torch
2022-11-23T01:30:20.0545323Z import random
2022-11-23T01:30:20.0545434Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0545548Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0545553Z 
2022-11-23T01:30:20.0545629Z aten = torch.ops.aten
2022-11-23T01:30:20.0545757Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0545964Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0545969Z 
2022-11-23T01:30:20.0545973Z 
2022-11-23T01:30:20.0546059Z async_compile.wait(globals())
2022-11-23T01:30:20.0546134Z del async_compile
2022-11-23T01:30:20.0546138Z 
2022-11-23T01:30:20.0546195Z def call(args):
2022-11-23T01:30:20.0546269Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0546339Z     args.clear()
2022-11-23T01:30:20.0546556Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'sigmoid', [], '')
2022-11-23T01:30:20.0546622Z     del arg0_1
2022-11-23T01:30:20.0546686Z     del arg1_1
2022-11-23T01:30:20.0546754Z     return (buf0, )
2022-11-23T01:30:20.0546759Z 
2022-11-23T01:30:20.0546763Z 
2022-11-23T01:30:20.0546837Z if __name__ == "__main__":
2022-11-23T01:30:20.0546936Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0547055Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0547254Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0547452Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0547565Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0547572Z 
2022-11-23T01:30:20.0547973Z [2022-11-23 01:25:27,023] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n2/cn2apdhnn52zmzzvu3girdwutbvkoaez5wcdt4icxf64ruw2ebib.py
2022-11-23T01:30:20.0548237Z [2022-11-23 01:25:27,023] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 255
2022-11-23T01:30:20.0548472Z [2022-11-23 01:25:27,026] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0548785Z [2022-11-23 01:25:27,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0548990Z [2022-11-23 01:25:27,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0549230Z [2022-11-23 01:25:27,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0549497Z [2022-11-23 01:25:27,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0549840Z [2022-11-23 01:25:27,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0550175Z [2022-11-23 01:25:27,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0550483Z [2022-11-23 01:25:27,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0550726Z [2022-11-23 01:25:27,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0550957Z [2022-11-23 01:25:27,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0551209Z [2022-11-23 01:25:27,031] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0551449Z [2022-11-23 01:25:27,037] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0551637Z [2022-11-23 01:25:27,037] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0551771Z  __compiled_fn_263 <eval_with_key>.2229 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0551859Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0551956Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0552053Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0552059Z 
2022-11-23T01:30:20.0552381Z [2022-11-23 01:25:27,038] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0552472Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0552560Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0552634Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0552727Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0552813Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0552902Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0552977Z              12 RETURN_VALUE
2022-11-23T01:30:20.0552982Z 
2022-11-23T01:30:20.0553041Z  
2022-11-23T01:30:20.0553363Z [2022-11-23 01:25:27,038] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0553459Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_263)
2022-11-23T01:30:20.0553547Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0553637Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0553710Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0553890Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0553983Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0554058Z              12 RETURN_VALUE
2022-11-23T01:30:20.0554065Z 
2022-11-23T01:30:20.0554112Z  
2022-11-23T01:30:20.0554300Z [2022-11-23 01:25:27,038] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0554368Z  - 
2022-11-23T01:30:20.0554526Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0554591Z             {
2022-11-23T01:30:20.0554730Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0554914Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0555021Z                 'obj_weakref': None
2022-11-23T01:30:20.0555245Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0555308Z             }
2022-11-23T01:30:20.0555368Z             
2022-11-23T01:30:20.0555436Z  - 
2022-11-23T01:30:20.0555559Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0555622Z             {
2022-11-23T01:30:20.0555752Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0555885Z                 'code': None,
2022-11-23T01:30:20.0556095Z                 'obj_weakref': <weakref at 0x7ff5a8377380; to 'Tensor' at 0x7ff59c1ec220>
2022-11-23T01:30:20.0556346Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0556413Z             }
2022-11-23T01:30:20.0556478Z             
2022-11-23T01:30:20.0556546Z  - 
2022-11-23T01:30:20.0556667Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0556718Z             {
2022-11-23T01:30:20.0556852Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0557022Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:20.0557238Z                 'obj_weakref': <weakref at 0x7ff5a8231440; to 'Sequential' at 0x7ff5a97fd9c0>
2022-11-23T01:30:20.0557470Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0557533Z             }
2022-11-23T01:30:20.0557597Z             
2022-11-23T01:30:20.0557653Z  - 
2022-11-23T01:30:20.0557773Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0557835Z             {
2022-11-23T01:30:20.0557973Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0558190Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0558306Z                 'obj_weakref': None
2022-11-23T01:30:20.0558526Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0558577Z             }
2022-11-23T01:30:20.0558638Z             
2022-11-23T01:30:20.0558705Z  - 
2022-11-23T01:30:20.0558853Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0558914Z             {
2022-11-23T01:30:20.0559031Z                 'guard_types': None,
2022-11-23T01:30:20.0559138Z                 'code': None,
2022-11-23T01:30:20.0559243Z                 'obj_weakref': None
2022-11-23T01:30:20.0559362Z                 'guarded_class': None
2022-11-23T01:30:20.0559428Z             }
2022-11-23T01:30:20.0559493Z             
2022-11-23T01:30:20.0559563Z  - 
2022-11-23T01:30:20.0559711Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0559774Z             {
2022-11-23T01:30:20.0559883Z                 'guard_types': None,
2022-11-23T01:30:20.0559989Z                 'code': None,
2022-11-23T01:30:20.0560107Z                 'obj_weakref': None
2022-11-23T01:30:20.0560228Z                 'guarded_class': None
2022-11-23T01:30:20.0560292Z             }
2022-11-23T01:30:20.0560355Z             
2022-11-23T01:30:20.0560601Z [2022-11-23 01:25:27,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 256
2022-11-23T01:30:20.0560976Z [2022-11-23 01:25:27,050] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5x/c5xb7htfbqrfpkpnhuyghla7z2zooubvvftz4m5ahr3lnb2tvkbq.py
2022-11-23T01:30:20.0561238Z [2022-11-23 01:25:27,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 256
2022-11-23T01:30:20.0561476Z [2022-11-23 01:25:27,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0561821Z [2022-11-23 01:25:27,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0562042Z [2022-11-23 01:25:27,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0562282Z [2022-11-23 01:25:27,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0562550Z [2022-11-23 01:25:27,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0562864Z [2022-11-23 01:25:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0563199Z [2022-11-23 01:25:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0563555Z [2022-11-23 01:25:27,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0563788Z [2022-11-23 01:25:27,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0564022Z [2022-11-23 01:25:27,061] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0564275Z [2022-11-23 01:25:27,062] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0564525Z [2022-11-23 01:25:27,072] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0564716Z [2022-11-23 01:25:27,072] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0564852Z  __compiled_fn_264 <eval_with_key>.2240 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0564943Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0565042Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0565130Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0565136Z 
2022-11-23T01:30:20.0565461Z [2022-11-23 01:25:27,073] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0565555Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0565647Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0565733Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0565825Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0565911Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0566000Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0566062Z              12 RETURN_VALUE
2022-11-23T01:30:20.0566067Z 
2022-11-23T01:30:20.0566132Z  
2022-11-23T01:30:20.0566454Z [2022-11-23 01:25:27,073] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0566565Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_264)
2022-11-23T01:30:20.0566657Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0566745Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0566823Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0566897Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0566988Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0567062Z              12 RETURN_VALUE
2022-11-23T01:30:20.0567067Z 
2022-11-23T01:30:20.0567129Z  
2022-11-23T01:30:20.0567312Z [2022-11-23 01:25:27,073] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0567380Z  - 
2022-11-23T01:30:20.0567499Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0567561Z             {
2022-11-23T01:30:20.0567693Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0567881Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0568029Z                 'obj_weakref': None
2022-11-23T01:30:20.0568252Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0568315Z             }
2022-11-23T01:30:20.0568376Z             
2022-11-23T01:30:20.0568444Z  - 
2022-11-23T01:30:20.0568554Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0568616Z             {
2022-11-23T01:30:20.0568757Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0568864Z                 'code': None,
2022-11-23T01:30:20.0569072Z                 'obj_weakref': <weakref at 0x7ff59c1262a0; to 'Tensor' at 0x7ff5a8446430>
2022-11-23T01:30:20.0569323Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0569384Z             }
2022-11-23T01:30:20.0569462Z             
2022-11-23T01:30:20.0569530Z  - 
2022-11-23T01:30:20.0569650Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0569712Z             {
2022-11-23T01:30:20.0569845Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0570012Z                 'code': ['___check_obj_id(model, 140692862895728)'],
2022-11-23T01:30:20.0570231Z                 'obj_weakref': <weakref at 0x7ff58ff00d10; to 'Sequential' at 0x7ff59c1d8670>
2022-11-23T01:30:20.0570451Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0570513Z             }
2022-11-23T01:30:20.0570575Z             
2022-11-23T01:30:20.0570642Z  - 
2022-11-23T01:30:20.0570765Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0570826Z             {
2022-11-23T01:30:20.0570960Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0571165Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0571286Z                 'obj_weakref': None
2022-11-23T01:30:20.0571506Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0571570Z             }
2022-11-23T01:30:20.0571632Z             
2022-11-23T01:30:20.0571700Z  - 
2022-11-23T01:30:20.0571844Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0571894Z             {
2022-11-23T01:30:20.0572012Z                 'guard_types': None,
2022-11-23T01:30:20.0572118Z                 'code': None,
2022-11-23T01:30:20.0572235Z                 'obj_weakref': None
2022-11-23T01:30:20.0572355Z                 'guarded_class': None
2022-11-23T01:30:20.0572416Z             }
2022-11-23T01:30:20.0572466Z             
2022-11-23T01:30:20.0572533Z  - 
2022-11-23T01:30:20.0572675Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0572738Z             {
2022-11-23T01:30:20.0572855Z                 'guard_types': None,
2022-11-23T01:30:20.0572961Z                 'code': None,
2022-11-23T01:30:20.0573077Z                 'obj_weakref': None
2022-11-23T01:30:20.0573184Z                 'guarded_class': None
2022-11-23T01:30:20.0573247Z             }
2022-11-23T01:30:20.0573309Z             
2022-11-23T01:30:20.0573567Z [2022-11-23 01:25:27,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 257
2022-11-23T01:30:20.0573928Z [2022-11-23 01:25:27,086] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/th/cth4hsps65jo7b5v2ih5rmkfvncez44rw7jwjt7kwrintvkgknvj.py
2022-11-23T01:30:20.0574192Z [2022-11-23 01:25:27,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 257
2022-11-23T01:30:20.0574427Z [2022-11-23 01:25:27,089] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0574739Z [2022-11-23 01:25:27,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0574959Z [2022-11-23 01:25:27,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0575227Z [2022-11-23 01:25:27,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0575493Z [2022-11-23 01:25:27,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0575804Z [2022-11-23 01:25:27,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0576137Z [2022-11-23 01:25:27,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0576544Z [2022-11-23 01:25:27,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0576789Z [2022-11-23 01:25:27,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0577068Z [2022-11-23 01:25:27,093] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0577321Z [2022-11-23 01:25:27,093] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0577570Z [2022-11-23 01:25:27,099] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0577745Z [2022-11-23 01:25:27,099] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0577878Z  __compiled_fn_265 <eval_with_key>.2251 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0577966Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0578068Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0578165Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0578170Z 
2022-11-23T01:30:20.0578495Z [2022-11-23 01:25:27,100] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0578590Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0578682Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0578755Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0578847Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0578930Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0579019Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0579093Z              12 RETURN_VALUE
2022-11-23T01:30:20.0579099Z 
2022-11-23T01:30:20.0579162Z  
2022-11-23T01:30:20.0579479Z [2022-11-23 01:25:27,100] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0579583Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_265)
2022-11-23T01:30:20.0579660Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0579750Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0579826Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0579915Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0580003Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0580077Z              12 RETURN_VALUE
2022-11-23T01:30:20.0580082Z 
2022-11-23T01:30:20.0580142Z  
2022-11-23T01:30:20.0580311Z [2022-11-23 01:25:27,100] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0580382Z  - 
2022-11-23T01:30:20.0580498Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0580562Z             {
2022-11-23T01:30:20.0580701Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0580886Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0581003Z                 'obj_weakref': None
2022-11-23T01:30:20.0581214Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0581280Z             }
2022-11-23T01:30:20.0581341Z             
2022-11-23T01:30:20.0581407Z  - 
2022-11-23T01:30:20.0581529Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0581628Z             {
2022-11-23T01:30:20.0581770Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0581864Z                 'code': None,
2022-11-23T01:30:20.0582073Z                 'obj_weakref': <weakref at 0x7ff58f986110; to 'Tensor' at 0x7ff59c0c6890>
2022-11-23T01:30:20.0582325Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0582388Z             }
2022-11-23T01:30:20.0582450Z             
2022-11-23T01:30:20.0582518Z  - 
2022-11-23T01:30:20.0582636Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0582686Z             {
2022-11-23T01:30:20.0582818Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0582987Z                 'code': ['___check_obj_id(model, 140692659335424)'],
2022-11-23T01:30:20.0583232Z                 'obj_weakref': <weakref at 0x7ff58f9864d0; to 'Sequential' at 0x7ff58ffb7100>
2022-11-23T01:30:20.0583469Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0583534Z             }
2022-11-23T01:30:20.0583595Z             
2022-11-23T01:30:20.0583650Z  - 
2022-11-23T01:30:20.0583770Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0583831Z             {
2022-11-23T01:30:20.0583966Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0584181Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0584297Z                 'obj_weakref': None
2022-11-23T01:30:20.0584516Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0584578Z             }
2022-11-23T01:30:20.0584629Z             
2022-11-23T01:30:20.0584695Z  - 
2022-11-23T01:30:20.0584840Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0584901Z             {
2022-11-23T01:30:20.0585019Z                 'guard_types': None,
2022-11-23T01:30:20.0585125Z                 'code': None,
2022-11-23T01:30:20.0585229Z                 'obj_weakref': None
2022-11-23T01:30:20.0585348Z                 'guarded_class': None
2022-11-23T01:30:20.0585410Z             }
2022-11-23T01:30:20.0585471Z             
2022-11-23T01:30:20.0585538Z  - 
2022-11-23T01:30:20.0585680Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0585741Z             {
2022-11-23T01:30:20.0585845Z                 'guard_types': None,
2022-11-23T01:30:20.0585948Z                 'code': None,
2022-11-23T01:30:20.0586065Z                 'obj_weakref': None
2022-11-23T01:30:20.0586184Z                 'guarded_class': None
2022-11-23T01:30:20.0586246Z             }
2022-11-23T01:30:20.0586308Z             
2022-11-23T01:30:20.0586566Z [2022-11-23 01:25:27,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 258
2022-11-23T01:30:20.0586923Z [2022-11-23 01:25:27,112] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqhvryaz27cqwmorucrakf5muvvtcndgek474hmwkazhodvocyvp.py
2022-11-23T01:30:20.0587189Z [2022-11-23 01:25:27,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 258
2022-11-23T01:30:20.0587423Z [2022-11-23 01:25:27,115] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0587736Z [2022-11-23 01:25:27,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0587950Z [2022-11-23 01:25:27,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0588190Z [2022-11-23 01:25:27,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0588456Z [2022-11-23 01:25:27,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0588797Z [2022-11-23 01:25:27,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0589131Z [2022-11-23 01:25:27,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0589438Z [2022-11-23 01:25:27,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0589669Z [2022-11-23 01:25:27,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0589901Z [2022-11-23 01:25:27,128] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0590154Z [2022-11-23 01:25:27,129] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0590428Z [2022-11-23 01:25:27,144] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0590618Z [2022-11-23 01:25:27,144] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0590752Z  __compiled_fn_266 <eval_with_key>.2262 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0590839Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0590936Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0591021Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0591038Z 
2022-11-23T01:30:20.0591351Z [2022-11-23 01:25:27,145] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0591443Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0591532Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0591616Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0591707Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0591791Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0591880Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0591943Z              12 RETURN_VALUE
2022-11-23T01:30:20.0591949Z 
2022-11-23T01:30:20.0592009Z  
2022-11-23T01:30:20.0592330Z [2022-11-23 01:25:27,145] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0592438Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_266)
2022-11-23T01:30:20.0592526Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0592614Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0592689Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0592776Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0592851Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0592924Z              12 RETURN_VALUE
2022-11-23T01:30:20.0592932Z 
2022-11-23T01:30:20.0592991Z  
2022-11-23T01:30:20.0593175Z [2022-11-23 01:25:27,146] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0593243Z  - 
2022-11-23T01:30:20.0593363Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0593427Z             {
2022-11-23T01:30:20.0593554Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0593739Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0593927Z                 'obj_weakref': None
2022-11-23T01:30:20.0594156Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0594223Z             }
2022-11-23T01:30:20.0594285Z             
2022-11-23T01:30:20.0594353Z  - 
2022-11-23T01:30:20.0594464Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0594529Z             {
2022-11-23T01:30:20.0594671Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0594780Z                 'code': None,
2022-11-23T01:30:20.0594992Z                 'obj_weakref': <weakref at 0x7ff59c05fce0; to 'Tensor' at 0x7ff59c0c58f0>
2022-11-23T01:30:20.0595279Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0595343Z             }
2022-11-23T01:30:20.0595394Z             
2022-11-23T01:30:20.0595462Z  - 
2022-11-23T01:30:20.0595582Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0595644Z             {
2022-11-23T01:30:20.0595777Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0595943Z                 'code': ['___check_obj_id(model, 140692862221328)'],
2022-11-23T01:30:20.0596166Z                 'obj_weakref': <weakref at 0x7ff59c1ece50; to 'Sequential' at 0x7ff59c133c10>
2022-11-23T01:30:20.0596386Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0596448Z             }
2022-11-23T01:30:20.0596510Z             
2022-11-23T01:30:20.0596611Z  - 
2022-11-23T01:30:20.0596733Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0596795Z             {
2022-11-23T01:30:20.0596931Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0597136Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0597252Z                 'obj_weakref': None
2022-11-23T01:30:20.0597470Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0597533Z             }
2022-11-23T01:30:20.0597596Z             
2022-11-23T01:30:20.0597662Z  - 
2022-11-23T01:30:20.0597807Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0597856Z             {
2022-11-23T01:30:20.0597974Z                 'guard_types': None,
2022-11-23T01:30:20.0598080Z                 'code': None,
2022-11-23T01:30:20.0598196Z                 'obj_weakref': None
2022-11-23T01:30:20.0598315Z                 'guarded_class': None
2022-11-23T01:30:20.0598378Z             }
2022-11-23T01:30:20.0598441Z             
2022-11-23T01:30:20.0598496Z  - 
2022-11-23T01:30:20.0598639Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0598702Z             {
2022-11-23T01:30:20.0598820Z                 'guard_types': None,
2022-11-23T01:30:20.0598924Z                 'code': None,
2022-11-23T01:30:20.0599039Z                 'obj_weakref': None
2022-11-23T01:30:20.0599146Z                 'guarded_class': None
2022-11-23T01:30:20.0599208Z             }
2022-11-23T01:30:20.0599269Z             
2022-11-23T01:30:20.0599527Z [2022-11-23 01:25:27,157] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 259
2022-11-23T01:30:20.0599886Z [2022-11-23 01:25:27,159] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2v/c2vxs7sb7moagrv6mmhq7y5aci4x2dpsvh37a4ycez77htfymmtq.py
2022-11-23T01:30:20.0600147Z [2022-11-23 01:25:27,159] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 259
2022-11-23T01:30:20.0600383Z [2022-11-23 01:25:27,162] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0600700Z [2022-11-23 01:25:27,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0600918Z [2022-11-23 01:25:27,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0601146Z [2022-11-23 01:25:27,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0601414Z [2022-11-23 01:25:27,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0601725Z [2022-11-23 01:25:27,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0602060Z [2022-11-23 01:25:27,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0602401Z [2022-11-23 01:25:27,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0602647Z [2022-11-23 01:25:27,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0602880Z [2022-11-23 01:25:27,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0603134Z [2022-11-23 01:25:27,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0603383Z [2022-11-23 01:25:27,180] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0603569Z [2022-11-23 01:25:27,181] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0603692Z  __compiled_fn_267 <eval_with_key>.2273 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0603810Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0603910Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0604012Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0604018Z 
2022-11-23T01:30:20.0604342Z [2022-11-23 01:25:27,181] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0604436Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0604528Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0604615Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0604694Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0604779Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0604870Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0604946Z              12 RETURN_VALUE
2022-11-23T01:30:20.0604950Z 
2022-11-23T01:30:20.0605013Z  
2022-11-23T01:30:20.0605340Z [2022-11-23 01:25:27,181] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0605452Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_267)
2022-11-23T01:30:20.0605533Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0605622Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0605700Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0605788Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0605879Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0605955Z              12 RETURN_VALUE
2022-11-23T01:30:20.0605959Z 
2022-11-23T01:30:20.0606020Z  
2022-11-23T01:30:20.0606189Z [2022-11-23 01:25:27,182] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0606259Z  - 
2022-11-23T01:30:20.0606378Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0606442Z             {
2022-11-23T01:30:20.0606585Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0606776Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0606899Z                 'obj_weakref': None
2022-11-23T01:30:20.0607122Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0607174Z             }
2022-11-23T01:30:20.0607237Z             
2022-11-23T01:30:20.0607306Z  - 
2022-11-23T01:30:20.0607430Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0607493Z             {
2022-11-23T01:30:20.0607634Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0607729Z                 'code': None,
2022-11-23T01:30:20.0607939Z                 'obj_weakref': <weakref at 0x7ff5a82318f0; to 'Tensor' at 0x7ff5a8446930>
2022-11-23T01:30:20.0608194Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0608259Z             }
2022-11-23T01:30:20.0608325Z             
2022-11-23T01:30:20.0608393Z  - 
2022-11-23T01:30:20.0608515Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0608567Z             {
2022-11-23T01:30:20.0608737Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0608904Z                 'code': ['___check_obj_id(model, 140693065710080)'],
2022-11-23T01:30:20.0609124Z                 'obj_weakref': <weakref at 0x7ff58f984bd0; to 'Sequential' at 0x7ff5a8343a00>
2022-11-23T01:30:20.0609357Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0609419Z             }
2022-11-23T01:30:20.0609480Z             
2022-11-23T01:30:20.0609549Z  - 
2022-11-23T01:30:20.0609657Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0609716Z             {
2022-11-23T01:30:20.0609855Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0610074Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0610218Z                 'obj_weakref': None
2022-11-23T01:30:20.0610438Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0610503Z             }
2022-11-23T01:30:20.0610554Z             
2022-11-23T01:30:20.0610622Z  - 
2022-11-23T01:30:20.0610765Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0610829Z             {
2022-11-23T01:30:20.0610948Z                 'guard_types': None,
2022-11-23T01:30:20.0611053Z                 'code': None,
2022-11-23T01:30:20.0611157Z                 'obj_weakref': None
2022-11-23T01:30:20.0611275Z                 'guarded_class': None
2022-11-23T01:30:20.0611337Z             }
2022-11-23T01:30:20.0611398Z             
2022-11-23T01:30:20.0611467Z  - 
2022-11-23T01:30:20.0611608Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0611669Z             {
2022-11-23T01:30:20.0611775Z                 'guard_types': None,
2022-11-23T01:30:20.0611880Z                 'code': None,
2022-11-23T01:30:20.0611998Z                 'obj_weakref': None
2022-11-23T01:30:20.0612118Z                 'guarded_class': None
2022-11-23T01:30:20.0612181Z             }
2022-11-23T01:30:20.0612244Z             
2022-11-23T01:30:20.0612501Z [2022-11-23 01:25:27,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 260
2022-11-23T01:30:20.0612860Z [2022-11-23 01:25:27,194] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/st/cstgw2hrswoqofpue4onq7fueiwbbdk7kxnkdruhfgltrgr6hiz6.py
2022-11-23T01:30:20.0613119Z [2022-11-23 01:25:27,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 260
2022-11-23T01:30:20.0613352Z [2022-11-23 01:25:27,197] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0613667Z [2022-11-23 01:25:27,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0613885Z [2022-11-23 01:25:27,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0614125Z [2022-11-23 01:25:27,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0614393Z [2022-11-23 01:25:27,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0614701Z [2022-11-23 01:25:27,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0615034Z [2022-11-23 01:25:27,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0615342Z [2022-11-23 01:25:27,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0615570Z [2022-11-23 01:25:27,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0615829Z [2022-11-23 01:25:27,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0616079Z [2022-11-23 01:25:27,210] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0616326Z [2022-11-23 01:25:27,224] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0616634Z [2022-11-23 01:25:27,224] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0616772Z  __compiled_fn_268 <eval_with_key>.2284 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0616862Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0616960Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0617045Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0617064Z 
2022-11-23T01:30:20.0617378Z [2022-11-23 01:25:27,224] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0617517Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0617608Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0617693Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0617791Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0617875Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0617964Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0618026Z              12 RETURN_VALUE
2022-11-23T01:30:20.0618043Z 
2022-11-23T01:30:20.0618093Z  
2022-11-23T01:30:20.0618415Z [2022-11-23 01:25:27,224] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0618524Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_268)
2022-11-23T01:30:20.0618612Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0618703Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0618779Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0618868Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0618944Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0619018Z              12 RETURN_VALUE
2022-11-23T01:30:20.0619023Z 
2022-11-23T01:30:20.0619084Z  
2022-11-23T01:30:20.0619266Z [2022-11-23 01:25:27,225] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0619334Z  - 
2022-11-23T01:30:20.0619450Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0619513Z             {
2022-11-23T01:30:20.0619642Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0619825Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0619943Z                 'obj_weakref': None
2022-11-23T01:30:20.0620166Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0620232Z             }
2022-11-23T01:30:20.0620297Z             
2022-11-23T01:30:20.0620363Z  - 
2022-11-23T01:30:20.0620473Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0620538Z             {
2022-11-23T01:30:20.0620679Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0620785Z                 'code': None,
2022-11-23T01:30:20.0620996Z                 'obj_weakref': <weakref at 0x7ff58f984810; to 'Tensor' at 0x7ff58ff03b50>
2022-11-23T01:30:20.0621247Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0621309Z             }
2022-11-23T01:30:20.0621360Z             
2022-11-23T01:30:20.0621425Z  - 
2022-11-23T01:30:20.0621544Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0621605Z             {
2022-11-23T01:30:20.0621739Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0621909Z                 'code': ['___check_obj_id(model, 140692862895728)'],
2022-11-23T01:30:20.0622131Z                 'obj_weakref': <weakref at 0x7ff5a807b9c0; to 'Sequential' at 0x7ff59c1d8670>
2022-11-23T01:30:20.0622400Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0622465Z             }
2022-11-23T01:30:20.0622527Z             
2022-11-23T01:30:20.0622593Z  - 
2022-11-23T01:30:20.0622715Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0622774Z             {
2022-11-23T01:30:20.0622909Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0623112Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0623229Z                 'obj_weakref': None
2022-11-23T01:30:20.0623449Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0623513Z             }
2022-11-23T01:30:20.0623576Z             
2022-11-23T01:30:20.0623644Z  - 
2022-11-23T01:30:20.0623819Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0623869Z             {
2022-11-23T01:30:20.0623988Z                 'guard_types': None,
2022-11-23T01:30:20.0624096Z                 'code': None,
2022-11-23T01:30:20.0624213Z                 'obj_weakref': None
2022-11-23T01:30:20.0624334Z                 'guarded_class': None
2022-11-23T01:30:20.0624395Z             }
2022-11-23T01:30:20.0624456Z             
2022-11-23T01:30:20.0624511Z  - 
2022-11-23T01:30:20.0624653Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0624715Z             {
2022-11-23T01:30:20.0624831Z                 'guard_types': None,
2022-11-23T01:30:20.0624935Z                 'code': None,
2022-11-23T01:30:20.0625051Z                 'obj_weakref': None
2022-11-23T01:30:20.0625171Z                 'guarded_class': None
2022-11-23T01:30:20.0625222Z             }
2022-11-23T01:30:20.0625285Z             
2022-11-23T01:30:20.0625542Z [2022-11-23 01:25:27,236] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 261
2022-11-23T01:30:20.0625917Z [2022-11-23 01:25:27,238] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ld/cldrn4yquh7jljfgkz6tnwinn2m6p3q4lsshm6vd5cfky3zmkd6n.py
2022-11-23T01:30:20.0626181Z [2022-11-23 01:25:27,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 261
2022-11-23T01:30:20.0626415Z [2022-11-23 01:25:27,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0626725Z [2022-11-23 01:25:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0626940Z [2022-11-23 01:25:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0627168Z [2022-11-23 01:25:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0627436Z [2022-11-23 01:25:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0627750Z [2022-11-23 01:25:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0628088Z [2022-11-23 01:25:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0628397Z [2022-11-23 01:25:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0628636Z [2022-11-23 01:25:27,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0628866Z [2022-11-23 01:25:27,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0629117Z [2022-11-23 01:25:27,250] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0629368Z [2022-11-23 01:25:27,259] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0629584Z [2022-11-23 01:25:27,259] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0629707Z  __compiled_fn_269 <eval_with_key>.2295 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0629795Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0629892Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0629988Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0629995Z 
2022-11-23T01:30:20.0630316Z [2022-11-23 01:25:27,259] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0630407Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0630497Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0630582Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0630715Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0630802Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0630891Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0630965Z              12 RETURN_VALUE
2022-11-23T01:30:20.0630970Z 
2022-11-23T01:30:20.0631029Z  
2022-11-23T01:30:20.0631351Z [2022-11-23 01:25:27,259] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0631463Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_269)
2022-11-23T01:30:20.0631540Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0631628Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0631705Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0631790Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0631878Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0631952Z              12 RETURN_VALUE
2022-11-23T01:30:20.0631959Z 
2022-11-23T01:30:20.0632016Z  
2022-11-23T01:30:20.0632196Z [2022-11-23 01:25:27,260] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0632251Z  - 
2022-11-23T01:30:20.0632371Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0632435Z             {
2022-11-23T01:30:20.0632575Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0632760Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0632877Z                 'obj_weakref': None
2022-11-23T01:30:20.0633101Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0633152Z             }
2022-11-23T01:30:20.0633215Z             
2022-11-23T01:30:20.0633283Z  - 
2022-11-23T01:30:20.0633405Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0633468Z             {
2022-11-23T01:30:20.0633606Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0633699Z                 'code': None,
2022-11-23T01:30:20.0633984Z                 'obj_weakref': <weakref at 0x7ff58f986bb0; to 'Tensor' at 0x7ff5a8390e50>
2022-11-23T01:30:20.0634240Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0634304Z             }
2022-11-23T01:30:20.0634367Z             
2022-11-23T01:30:20.0634435Z  - 
2022-11-23T01:30:20.0634553Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0634617Z             {
2022-11-23T01:30:20.0634738Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0634906Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:20.0635124Z                 'obj_weakref': <weakref at 0x7ff59c0c50d0; to 'Sequential' at 0x7ff5a97fd9c0>
2022-11-23T01:30:20.0635356Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0635421Z             }
2022-11-23T01:30:20.0635484Z             
2022-11-23T01:30:20.0635556Z  - 
2022-11-23T01:30:20.0635665Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0635727Z             {
2022-11-23T01:30:20.0635897Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0636114Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0636230Z                 'obj_weakref': None
2022-11-23T01:30:20.0636448Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0636512Z             }
2022-11-23T01:30:20.0636563Z             
2022-11-23T01:30:20.0636632Z  - 
2022-11-23T01:30:20.0636776Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0636844Z             {
2022-11-23T01:30:20.0636960Z                 'guard_types': None,
2022-11-23T01:30:20.0637066Z                 'code': None,
2022-11-23T01:30:20.0637184Z                 'obj_weakref': None
2022-11-23T01:30:20.0637291Z                 'guarded_class': None
2022-11-23T01:30:20.0637381Z             }
2022-11-23T01:30:20.0637442Z             
2022-11-23T01:30:20.0637511Z  - 
2022-11-23T01:30:20.0637654Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0637718Z             {
2022-11-23T01:30:20.0637824Z                 'guard_types': None,
2022-11-23T01:30:20.0637929Z                 'code': None,
2022-11-23T01:30:20.0638045Z                 'obj_weakref': None
2022-11-23T01:30:20.0638163Z                 'guarded_class': None
2022-11-23T01:30:20.0638227Z             }
2022-11-23T01:30:20.0638288Z             
2022-11-23T01:30:20.0638547Z [2022-11-23 01:25:27,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 262
2022-11-23T01:30:20.0638908Z [2022-11-23 01:25:27,272] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4y/c4yjatcqfmcpwhicrssyexstgcwt3ixar5e63pgavc3anpch7jwm.py
2022-11-23T01:30:20.0639171Z [2022-11-23 01:25:27,272] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 262
2022-11-23T01:30:20.0639405Z [2022-11-23 01:25:27,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0639720Z [2022-11-23 01:25:27,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0639935Z [2022-11-23 01:25:27,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0640174Z [2022-11-23 01:25:27,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0640439Z [2022-11-23 01:25:27,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0640751Z [2022-11-23 01:25:27,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0641085Z [2022-11-23 01:25:27,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0641398Z [2022-11-23 01:25:27,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0641629Z [2022-11-23 01:25:27,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0641857Z [2022-11-23 01:25:27,285] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0642104Z [2022-11-23 01:25:27,286] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0642350Z [2022-11-23 01:25:27,296] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0642535Z [2022-11-23 01:25:27,296] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0642668Z  __compiled_fn_270 <eval_with_key>.2306 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0642758Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0642856Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0642981Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0642987Z 
2022-11-23T01:30:20.0643301Z [2022-11-23 01:25:27,297] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0643394Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0643484Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0643570Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0643662Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0643748Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0643838Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0643901Z              12 RETURN_VALUE
2022-11-23T01:30:20.0643922Z 
2022-11-23T01:30:20.0643971Z  
2022-11-23T01:30:20.0644324Z [2022-11-23 01:25:27,297] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0644437Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_270)
2022-11-23T01:30:20.0644526Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0644616Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0644694Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0644781Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0644859Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0644933Z              12 RETURN_VALUE
2022-11-23T01:30:20.0644939Z 
2022-11-23T01:30:20.0645001Z  
2022-11-23T01:30:20.0645185Z [2022-11-23 01:25:27,298] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0645256Z  - 
2022-11-23T01:30:20.0645374Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0645438Z             {
2022-11-23T01:30:20.0645565Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0645753Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0645874Z                 'obj_weakref': None
2022-11-23T01:30:20.0646101Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0646167Z             }
2022-11-23T01:30:20.0646232Z             
2022-11-23T01:30:20.0646300Z  - 
2022-11-23T01:30:20.0646411Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0646474Z             {
2022-11-23T01:30:20.0646618Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0646729Z                 'code': None,
2022-11-23T01:30:20.0646943Z                 'obj_weakref': <weakref at 0x7ff58fc4ccc0; to 'Tensor' at 0x7ff57ff16e30>
2022-11-23T01:30:20.0647194Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0647258Z             }
2022-11-23T01:30:20.0647311Z             
2022-11-23T01:30:20.0647382Z  - 
2022-11-23T01:30:20.0647502Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0647565Z             {
2022-11-23T01:30:20.0647701Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0647872Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:20.0648091Z                 'obj_weakref': <weakref at 0x7ff58f984860; to 'Sequential' at 0x7ff58f929ed0>
2022-11-23T01:30:20.0648325Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0648377Z             }
2022-11-23T01:30:20.0648439Z             
2022-11-23T01:30:20.0648510Z  - 
2022-11-23T01:30:20.0648632Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0648697Z             {
2022-11-23T01:30:20.0648834Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0649040Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0649164Z                 'obj_weakref': None
2022-11-23T01:30:20.0649383Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0649476Z             }
2022-11-23T01:30:20.0649539Z             
2022-11-23T01:30:20.0649608Z  - 
2022-11-23T01:30:20.0649755Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0649805Z             {
2022-11-23T01:30:20.0649922Z                 'guard_types': None,
2022-11-23T01:30:20.0650030Z                 'code': None,
2022-11-23T01:30:20.0650147Z                 'obj_weakref': None
2022-11-23T01:30:20.0650267Z                 'guarded_class': None
2022-11-23T01:30:20.0650328Z             }
2022-11-23T01:30:20.0650389Z             
2022-11-23T01:30:20.0650444Z  - 
2022-11-23T01:30:20.0650585Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0650648Z             {
2022-11-23T01:30:20.0650766Z                 'guard_types': None,
2022-11-23T01:30:20.0650897Z                 'code': None,
2022-11-23T01:30:20.0651013Z                 'obj_weakref': None
2022-11-23T01:30:20.0651134Z                 'guarded_class': None
2022-11-23T01:30:20.0651184Z             }
2022-11-23T01:30:20.0651247Z             
2022-11-23T01:30:20.0651506Z [2022-11-23 01:25:27,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 263
2022-11-23T01:30:20.0651511Z 
2022-11-23T01:30:20.0651603Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0651671Z import torch
2022-11-23T01:30:20.0651739Z import random
2022-11-23T01:30:20.0651853Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0651961Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0651966Z 
2022-11-23T01:30:20.0652043Z aten = torch.ops.aten
2022-11-23T01:30:20.0652174Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0652263Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0652268Z 
2022-11-23T01:30:20.0652275Z 
2022-11-23T01:30:20.0652360Z async_compile.wait(globals())
2022-11-23T01:30:20.0652433Z del async_compile
2022-11-23T01:30:20.0652438Z 
2022-11-23T01:30:20.0652507Z def call(args):
2022-11-23T01:30:20.0652591Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0652650Z     args.clear()
2022-11-23T01:30:20.0652861Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'tanh', [], '')
2022-11-23T01:30:20.0652928Z     del arg0_1
2022-11-23T01:30:20.0652991Z     del arg1_1
2022-11-23T01:30:20.0653055Z     del arg2_1
2022-11-23T01:30:20.0653126Z     return (buf0, )
2022-11-23T01:30:20.0653130Z 
2022-11-23T01:30:20.0653134Z 
2022-11-23T01:30:20.0653210Z if __name__ == "__main__":
2022-11-23T01:30:20.0653311Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0653431Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0653633Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0653830Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0654034Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0654158Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0654164Z 
2022-11-23T01:30:20.0654168Z 
2022-11-23T01:30:20.0654261Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0654328Z import torch
2022-11-23T01:30:20.0654384Z import random
2022-11-23T01:30:20.0654496Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0654615Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0654619Z 
2022-11-23T01:30:20.0654696Z aten = torch.ops.aten
2022-11-23T01:30:20.0654826Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0654915Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0654920Z 
2022-11-23T01:30:20.0654924Z 
2022-11-23T01:30:20.0655009Z async_compile.wait(globals())
2022-11-23T01:30:20.0655080Z del async_compile
2022-11-23T01:30:20.0655087Z 
2022-11-23T01:30:20.0655144Z def call(args):
2022-11-23T01:30:20.0655217Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0655285Z     args.clear()
2022-11-23T01:30:20.0655523Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'tanh', [], '')
2022-11-23T01:30:20.0655590Z     del arg0_1
2022-11-23T01:30:20.0655654Z     del arg1_1
2022-11-23T01:30:20.0655725Z     return (buf0, )
2022-11-23T01:30:20.0655729Z 
2022-11-23T01:30:20.0655733Z 
2022-11-23T01:30:20.0655806Z if __name__ == "__main__":
2022-11-23T01:30:20.0655905Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0656023Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0656224Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0656544Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0656659Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0656707Z 
2022-11-23T01:30:20.0656711Z 
2022-11-23T01:30:20.0656805Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0656875Z import torch
2022-11-23T01:30:20.0656951Z import random
2022-11-23T01:30:20.0657053Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0657171Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0657175Z 
2022-11-23T01:30:20.0657253Z aten = torch.ops.aten
2022-11-23T01:30:20.0657384Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0657473Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0657478Z 
2022-11-23T01:30:20.0657482Z 
2022-11-23T01:30:20.0657568Z async_compile.wait(globals())
2022-11-23T01:30:20.0657640Z del async_compile
2022-11-23T01:30:20.0657645Z 
2022-11-23T01:30:20.0657713Z def call(args):
2022-11-23T01:30:20.0657781Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0657849Z     args.clear()
2022-11-23T01:30:20.0658063Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'tanh', [], '')
2022-11-23T01:30:20.0658133Z     del arg0_1
2022-11-23T01:30:20.0658201Z     del arg1_1
2022-11-23T01:30:20.0658266Z     del arg2_1
2022-11-23T01:30:20.0658325Z     return (buf0, )
2022-11-23T01:30:20.0658342Z 
2022-11-23T01:30:20.0658346Z 
2022-11-23T01:30:20.0658408Z if __name__ == "__main__":
2022-11-23T01:30:20.0658521Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0658640Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0658839Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0659032Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0659229Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0659348Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0659353Z 
2022-11-23T01:30:20.0659357Z 
2022-11-23T01:30:20.0659450Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0659508Z import torch
2022-11-23T01:30:20.0659577Z import random
2022-11-23T01:30:20.0659689Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0659809Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0659814Z 
2022-11-23T01:30:20.0659889Z aten = torch.ops.aten
2022-11-23T01:30:20.0660020Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0660108Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0660113Z 
2022-11-23T01:30:20.0660117Z 
2022-11-23T01:30:20.0660202Z async_compile.wait(globals())
2022-11-23T01:30:20.0660262Z del async_compile
2022-11-23T01:30:20.0660267Z 
2022-11-23T01:30:20.0660335Z def call(args):
2022-11-23T01:30:20.0660409Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0660480Z     args.clear()
2022-11-23T01:30:20.0660691Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'tanh', [], '')
2022-11-23T01:30:20.0660756Z     del arg0_1
2022-11-23T01:30:20.0660824Z     del arg1_1
2022-11-23T01:30:20.0660883Z     return (buf0, )
2022-11-23T01:30:20.0660887Z 
2022-11-23T01:30:20.0660891Z 
2022-11-23T01:30:20.0660964Z if __name__ == "__main__":
2022-11-23T01:30:20.0661110Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0661232Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0661431Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0661627Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0661738Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0661744Z 
2022-11-23T01:30:20.0661748Z 
2022-11-23T01:30:20.0661838Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0661894Z import torch
2022-11-23T01:30:20.0661963Z import random
2022-11-23T01:30:20.0662075Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0662194Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0662226Z 
2022-11-23T01:30:20.0662303Z aten = torch.ops.aten
2022-11-23T01:30:20.0662433Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0662525Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0662530Z 
2022-11-23T01:30:20.0662534Z 
2022-11-23T01:30:20.0662620Z async_compile.wait(globals())
2022-11-23T01:30:20.0662679Z del async_compile
2022-11-23T01:30:20.0662684Z 
2022-11-23T01:30:20.0662752Z def call(args):
2022-11-23T01:30:20.0662833Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0662905Z     args.clear()
2022-11-23T01:30:20.0663127Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardswish', [], '')
2022-11-23T01:30:20.0663193Z     del arg0_1
2022-11-23T01:30:20.0663258Z     del arg1_1
2022-11-23T01:30:20.0663311Z     del arg2_1
2022-11-23T01:30:20.0663380Z     return (buf0, )
2022-11-23T01:30:20.0663385Z 
2022-11-23T01:30:20.0663389Z 
2022-11-23T01:30:20.0663462Z if __name__ == "__main__":
2022-11-23T01:30:20.0663573Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0663695Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0663899Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0664093Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0664296Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0664404Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0664409Z 
2022-11-23T01:30:20.0664425Z 
2022-11-23T01:30:20.0664505Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0664573Z import torch
2022-11-23T01:30:20.0664642Z import random
2022-11-23T01:30:20.0664752Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0664869Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0664874Z 
2022-11-23T01:30:20.0664948Z aten = torch.ops.aten
2022-11-23T01:30:20.0665080Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0665158Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0665163Z 
2022-11-23T01:30:20.0665180Z 
2022-11-23T01:30:20.0665255Z async_compile.wait(globals())
2022-11-23T01:30:20.0665326Z del async_compile
2022-11-23T01:30:20.0665330Z 
2022-11-23T01:30:20.0665400Z def call(args):
2022-11-23T01:30:20.0665472Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0665542Z     args.clear()
2022-11-23T01:30:20.0665761Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardswish', [], '')
2022-11-23T01:30:20.0665828Z     del arg0_1
2022-11-23T01:30:20.0665882Z     del arg1_1
2022-11-23T01:30:20.0665951Z     return (buf0, )
2022-11-23T01:30:20.0665956Z 
2022-11-23T01:30:20.0665960Z 
2022-11-23T01:30:20.0666034Z if __name__ == "__main__":
2022-11-23T01:30:20.0666146Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0666266Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0666466Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0666715Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0666818Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0666835Z 
2022-11-23T01:30:20.0666839Z 
2022-11-23T01:30:20.0666919Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0666987Z import torch
2022-11-23T01:30:20.0667056Z import random
2022-11-23T01:30:20.0667168Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0667284Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0667289Z 
2022-11-23T01:30:20.0667365Z aten = torch.ops.aten
2022-11-23T01:30:20.0667493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0667572Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0667592Z 
2022-11-23T01:30:20.0667596Z 
2022-11-23T01:30:20.0667671Z async_compile.wait(globals())
2022-11-23T01:30:20.0667768Z del async_compile
2022-11-23T01:30:20.0667773Z 
2022-11-23T01:30:20.0667843Z def call(args):
2022-11-23T01:30:20.0667923Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0667994Z     args.clear()
2022-11-23T01:30:20.0668215Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardswish', [], '')
2022-11-23T01:30:20.0668282Z     del arg0_1
2022-11-23T01:30:20.0668336Z     del arg1_1
2022-11-23T01:30:20.0668402Z     del arg2_1
2022-11-23T01:30:20.0668473Z     return (buf0, )
2022-11-23T01:30:20.0668478Z 
2022-11-23T01:30:20.0668482Z 
2022-11-23T01:30:20.0668555Z if __name__ == "__main__":
2022-11-23T01:30:20.0668665Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0668783Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0668981Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0669162Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0669361Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0669481Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0669486Z 
2022-11-23T01:30:20.0669490Z 
2022-11-23T01:30:20.0669584Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0669652Z import torch
2022-11-23T01:30:20.0669721Z import random
2022-11-23T01:30:20.0669832Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0669948Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0669953Z 
2022-11-23T01:30:20.0670016Z aten = torch.ops.aten
2022-11-23T01:30:20.0670145Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0670234Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0670239Z 
2022-11-23T01:30:20.0670243Z 
2022-11-23T01:30:20.0670329Z async_compile.wait(globals())
2022-11-23T01:30:20.0670399Z del async_compile
2022-11-23T01:30:20.0670406Z 
2022-11-23T01:30:20.0670478Z def call(args):
2022-11-23T01:30:20.0670551Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0670619Z     args.clear()
2022-11-23T01:30:20.0670828Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardswish', [], '')
2022-11-23T01:30:20.0670895Z     del arg0_1
2022-11-23T01:30:20.0670958Z     del arg1_1
2022-11-23T01:30:20.0671027Z     return (buf0, )
2022-11-23T01:30:20.0671032Z 
2022-11-23T01:30:20.0671037Z 
2022-11-23T01:30:20.0671111Z if __name__ == "__main__":
2022-11-23T01:30:20.0671222Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0671341Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0671539Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0671724Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0671835Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0671841Z 
2022-11-23T01:30:20.0672210Z [2022-11-23 01:25:27,310] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq33vmbrisd4zrqrpc4nyqqvtdz62xxa66bpen7vve4zqbex3uzd.py
2022-11-23T01:30:20.0672502Z [2022-11-23 01:25:27,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 263
2022-11-23T01:30:20.0672739Z [2022-11-23 01:25:27,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0673051Z [2022-11-23 01:25:27,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0673264Z [2022-11-23 01:25:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0673505Z [2022-11-23 01:25:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0673776Z [2022-11-23 01:25:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0674175Z [2022-11-23 01:25:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0674511Z [2022-11-23 01:25:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0674820Z [2022-11-23 01:25:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0675063Z [2022-11-23 01:25:27,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0675295Z [2022-11-23 01:25:27,318] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0675546Z [2022-11-23 01:25:27,318] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0675793Z [2022-11-23 01:25:27,325] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0675979Z [2022-11-23 01:25:27,325] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0676115Z  __compiled_fn_271 <eval_with_key>.2317 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0676205Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0676291Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0676390Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0676395Z 
2022-11-23T01:30:20.0676714Z [2022-11-23 01:25:27,325] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0676807Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0676895Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0676980Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0677070Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0677145Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0677231Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0677303Z              12 RETURN_VALUE
2022-11-23T01:30:20.0677311Z 
2022-11-23T01:30:20.0677370Z  
2022-11-23T01:30:20.0677689Z [2022-11-23 01:25:27,325] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0677796Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_271)
2022-11-23T01:30:20.0677886Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0677976Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0678041Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0678128Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0678218Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0678292Z              12 RETURN_VALUE
2022-11-23T01:30:20.0678297Z 
2022-11-23T01:30:20.0678360Z  
2022-11-23T01:30:20.0678544Z [2022-11-23 01:25:27,326] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0678613Z  - 
2022-11-23T01:30:20.0678721Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0678814Z             {
2022-11-23T01:30:20.0678957Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0679143Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0679264Z                 'obj_weakref': None
2022-11-23T01:30:20.0679487Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0679553Z             }
2022-11-23T01:30:20.0679605Z             
2022-11-23T01:30:20.0679677Z  - 
2022-11-23T01:30:20.0679802Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0679869Z             {
2022-11-23T01:30:20.0680012Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0680120Z                 'code': None,
2022-11-23T01:30:20.0680335Z                 'obj_weakref': <weakref at 0x7ff59c05e4d0; to 'Tensor' at 0x7ff58fd09ee0>
2022-11-23T01:30:20.0680606Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0680670Z             }
2022-11-23T01:30:20.0680734Z             
2022-11-23T01:30:20.0680803Z  - 
2022-11-23T01:30:20.0680924Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0680988Z             {
2022-11-23T01:30:20.0681125Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0681280Z                 'code': ['___check_obj_id(model, 140692659335424)'],
2022-11-23T01:30:20.0681499Z                 'obj_weakref': <weakref at 0x7ff59c05c400; to 'Sequential' at 0x7ff58ffb7100>
2022-11-23T01:30:20.0681737Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0681802Z             }
2022-11-23T01:30:20.0681866Z             
2022-11-23T01:30:20.0681935Z  - 
2022-11-23T01:30:20.0682062Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0682113Z             {
2022-11-23T01:30:20.0682248Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0682468Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0682585Z                 'obj_weakref': None
2022-11-23T01:30:20.0682805Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0682870Z             }
2022-11-23T01:30:20.0682931Z             
2022-11-23T01:30:20.0682986Z  - 
2022-11-23T01:30:20.0683131Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0683194Z             {
2022-11-23T01:30:20.0683317Z                 'guard_types': None,
2022-11-23T01:30:20.0683425Z                 'code': None,
2022-11-23T01:30:20.0683545Z                 'obj_weakref': None
2022-11-23T01:30:20.0683664Z                 'guarded_class': None
2022-11-23T01:30:20.0683715Z             }
2022-11-23T01:30:20.0683782Z             
2022-11-23T01:30:20.0683852Z  - 
2022-11-23T01:30:20.0683995Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0684059Z             {
2022-11-23T01:30:20.0684182Z                 'guard_types': None,
2022-11-23T01:30:20.0684286Z                 'code': None,
2022-11-23T01:30:20.0684389Z                 'obj_weakref': None
2022-11-23T01:30:20.0684508Z                 'guarded_class': None
2022-11-23T01:30:20.0684569Z             }
2022-11-23T01:30:20.0684630Z             
2022-11-23T01:30:20.0684888Z [2022-11-23 01:25:27,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 264
2022-11-23T01:30:20.0685248Z [2022-11-23 01:25:27,338] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c5/cc5x6pianjnp52h67rhgu4w3d5ch2e3vtctgv5zobt2vpyh4cwdi.py
2022-11-23T01:30:20.0685507Z [2022-11-23 01:25:27,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 264
2022-11-23T01:30:20.0685745Z [2022-11-23 01:25:27,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0686072Z [2022-11-23 01:25:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0686288Z [2022-11-23 01:25:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0686530Z [2022-11-23 01:25:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0686797Z [2022-11-23 01:25:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0687110Z [2022-11-23 01:25:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0687443Z [2022-11-23 01:25:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0687782Z [2022-11-23 01:25:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0688024Z [2022-11-23 01:25:27,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0688255Z [2022-11-23 01:25:27,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0688505Z [2022-11-23 01:25:27,350] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0688742Z [2022-11-23 01:25:27,362] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0688926Z [2022-11-23 01:25:27,362] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0689059Z  __compiled_fn_272 <eval_with_key>.2328 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0689149Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0689250Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0689347Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0689352Z 
2022-11-23T01:30:20.0689678Z [2022-11-23 01:25:27,362] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0689773Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0689852Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0689939Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0690029Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0690113Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0690199Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0690274Z              12 RETURN_VALUE
2022-11-23T01:30:20.0690279Z 
2022-11-23T01:30:20.0690341Z  
2022-11-23T01:30:20.0690649Z [2022-11-23 01:25:27,362] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0690758Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_272)
2022-11-23T01:30:20.0690849Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0690940Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0691015Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0691100Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0691190Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0691263Z              12 RETURN_VALUE
2022-11-23T01:30:20.0691268Z 
2022-11-23T01:30:20.0691315Z  
2022-11-23T01:30:20.0691495Z [2022-11-23 01:25:27,363] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0691562Z  - 
2022-11-23T01:30:20.0691683Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0691744Z             {
2022-11-23T01:30:20.0691883Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0692069Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0692176Z                 'obj_weakref': None
2022-11-23T01:30:20.0692425Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0692490Z             }
2022-11-23T01:30:20.0692553Z             
2022-11-23T01:30:20.0692620Z  - 
2022-11-23T01:30:20.0692746Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0692808Z             {
2022-11-23T01:30:20.0692936Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0693041Z                 'code': None,
2022-11-23T01:30:20.0693252Z                 'obj_weakref': <weakref at 0x7ff58f9dd530; to 'Tensor' at 0x7ff5a811c590>
2022-11-23T01:30:20.0693501Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0693564Z             }
2022-11-23T01:30:20.0693628Z             
2022-11-23T01:30:20.0693694Z  - 
2022-11-23T01:30:20.0693828Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0693888Z             {
2022-11-23T01:30:20.0694021Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0694188Z                 'code': ['___check_obj_id(model, 140692652776640)'],
2022-11-23T01:30:20.0694410Z                 'obj_weakref': <weakref at 0x7ff59c05ec50; to 'Sequential' at 0x7ff58f975cc0>
2022-11-23T01:30:20.0694641Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0694703Z             }
2022-11-23T01:30:20.0694755Z             
2022-11-23T01:30:20.0694820Z  - 
2022-11-23T01:30:20.0694940Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0695003Z             {
2022-11-23T01:30:20.0695137Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0695352Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0695467Z                 'obj_weakref': None
2022-11-23T01:30:20.0695675Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0695736Z             }
2022-11-23T01:30:20.0695800Z             
2022-11-23T01:30:20.0695867Z  - 
2022-11-23T01:30:20.0696009Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0696070Z             {
2022-11-23T01:30:20.0696186Z                 'guard_types': None,
2022-11-23T01:30:20.0696278Z                 'code': None,
2022-11-23T01:30:20.0696393Z                 'obj_weakref': None
2022-11-23T01:30:20.0696630Z                 'guarded_class': None
2022-11-23T01:30:20.0696694Z             }
2022-11-23T01:30:20.0696757Z             
2022-11-23T01:30:20.0696825Z  - 
2022-11-23T01:30:20.0696967Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0697016Z             {
2022-11-23T01:30:20.0697135Z                 'guard_types': None,
2022-11-23T01:30:20.0697239Z                 'code': None,
2022-11-23T01:30:20.0697358Z                 'obj_weakref': None
2022-11-23T01:30:20.0697481Z                 'guarded_class': None
2022-11-23T01:30:20.0697543Z             }
2022-11-23T01:30:20.0697592Z             
2022-11-23T01:30:20.0697853Z [2022-11-23 01:25:27,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 265
2022-11-23T01:30:20.0698219Z [2022-11-23 01:25:27,376] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sm/csmnkocuix5rivkcwrylk4ult3c2j6ufbmnm2xylyfoe5sld6tjt.py
2022-11-23T01:30:20.0698489Z [2022-11-23 01:25:27,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 265
2022-11-23T01:30:20.0698724Z [2022-11-23 01:25:27,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0699041Z [2022-11-23 01:25:27,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0699255Z [2022-11-23 01:25:27,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0699500Z [2022-11-23 01:25:27,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0699809Z [2022-11-23 01:25:27,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0700122Z [2022-11-23 01:25:27,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0700445Z [2022-11-23 01:25:27,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0700755Z [2022-11-23 01:25:27,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0700997Z [2022-11-23 01:25:27,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0701268Z [2022-11-23 01:25:27,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0701525Z [2022-11-23 01:25:27,384] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0701771Z [2022-11-23 01:25:27,390] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0701955Z [2022-11-23 01:25:27,390] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0702090Z  __compiled_fn_273 <eval_with_key>.2339 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0702176Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0702262Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0702360Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0702366Z 
2022-11-23T01:30:20.0702689Z [2022-11-23 01:25:27,390] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0702783Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0702872Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0702960Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0703051Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0703133Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0703207Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0703280Z              12 RETURN_VALUE
2022-11-23T01:30:20.0703285Z 
2022-11-23T01:30:20.0703348Z  
2022-11-23T01:30:20.0703669Z [2022-11-23 01:25:27,390] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0703777Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_273)
2022-11-23T01:30:20.0703864Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0703952Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0704019Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0704103Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0704192Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0704266Z              12 RETURN_VALUE
2022-11-23T01:30:20.0704270Z 
2022-11-23T01:30:20.0704330Z  
2022-11-23T01:30:20.0704514Z [2022-11-23 01:25:27,391] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0704582Z  - 
2022-11-23T01:30:20.0704689Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0704750Z             {
2022-11-23T01:30:20.0704888Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0705074Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0705191Z                 'obj_weakref': None
2022-11-23T01:30:20.0705413Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0705479Z             }
2022-11-23T01:30:20.0705544Z             
2022-11-23T01:30:20.0705599Z  - 
2022-11-23T01:30:20.0705722Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0705784Z             {
2022-11-23T01:30:20.0705955Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0706063Z                 'code': None,
2022-11-23T01:30:20.0706273Z                 'obj_weakref': <weakref at 0x7ff58fc4c3b0; to 'Tensor' at 0x7ff6383f40e0>
2022-11-23T01:30:20.0706523Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0706574Z             }
2022-11-23T01:30:20.0706636Z             
2022-11-23T01:30:20.0706704Z  - 
2022-11-23T01:30:20.0706822Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0706882Z             {
2022-11-23T01:30:20.0707016Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0707171Z                 'code': ['___check_obj_id(model, 140693065710080)'],
2022-11-23T01:30:20.0707387Z                 'obj_weakref': <weakref at 0x7ff59c05fdd0; to 'Sequential' at 0x7ff5a8343a00>
2022-11-23T01:30:20.0707649Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0707714Z             }
2022-11-23T01:30:20.0707775Z             
2022-11-23T01:30:20.0707842Z  - 
2022-11-23T01:30:20.0707962Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0708012Z             {
2022-11-23T01:30:20.0708150Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0708366Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0708483Z                 'obj_weakref': None
2022-11-23T01:30:20.0708701Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0708761Z             }
2022-11-23T01:30:20.0708824Z             
2022-11-23T01:30:20.0708890Z  - 
2022-11-23T01:30:20.0709021Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0709086Z             {
2022-11-23T01:30:20.0709203Z                 'guard_types': None,
2022-11-23T01:30:20.0709308Z                 'code': None,
2022-11-23T01:30:20.0709425Z                 'obj_weakref': None
2022-11-23T01:30:20.0709545Z                 'guarded_class': None
2022-11-23T01:30:20.0709596Z             }
2022-11-23T01:30:20.0709656Z             
2022-11-23T01:30:20.0709722Z  - 
2022-11-23T01:30:20.0709866Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0709928Z             {
2022-11-23T01:30:20.0710046Z                 'guard_types': None,
2022-11-23T01:30:20.0710150Z                 'code': None,
2022-11-23T01:30:20.0710254Z                 'obj_weakref': None
2022-11-23T01:30:20.0710371Z                 'guarded_class': None
2022-11-23T01:30:20.0710433Z             }
2022-11-23T01:30:20.0710495Z             
2022-11-23T01:30:20.0710750Z [2022-11-23 01:25:27,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 266
2022-11-23T01:30:20.0711117Z [2022-11-23 01:25:27,403] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hn/chn4hksjwj3cmvmr5pv5mhytkhnrkdjxsxl7vozsvdcqd2wbuobu.py
2022-11-23T01:30:20.0711379Z [2022-11-23 01:25:27,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 266
2022-11-23T01:30:20.0711615Z [2022-11-23 01:25:27,406] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0711914Z [2022-11-23 01:25:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0712129Z [2022-11-23 01:25:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0712372Z [2022-11-23 01:25:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0712637Z [2022-11-23 01:25:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0712948Z [2022-11-23 01:25:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0713321Z [2022-11-23 01:25:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0713634Z [2022-11-23 01:25:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0713950Z [2022-11-23 01:25:27,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0714185Z [2022-11-23 01:25:27,416] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0714436Z [2022-11-23 01:25:27,417] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0714667Z [2022-11-23 01:25:27,428] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0714889Z [2022-11-23 01:25:27,428] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0715026Z  __compiled_fn_274 <eval_with_key>.2350 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0715115Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0715214Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0715313Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0715319Z 
2022-11-23T01:30:20.0715646Z [2022-11-23 01:25:27,429] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0715739Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0715815Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0715900Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0715991Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0716076Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0716163Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0716238Z              12 RETURN_VALUE
2022-11-23T01:30:20.0716246Z 
2022-11-23T01:30:20.0716306Z  
2022-11-23T01:30:20.0716626Z [2022-11-23 01:25:27,429] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0716720Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_274)
2022-11-23T01:30:20.0716808Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0716896Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0716971Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0717057Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0717144Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0717217Z              12 RETURN_VALUE
2022-11-23T01:30:20.0717221Z 
2022-11-23T01:30:20.0717269Z  
2022-11-23T01:30:20.0717450Z [2022-11-23 01:25:27,429] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0717518Z  - 
2022-11-23T01:30:20.0717636Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0717702Z             {
2022-11-23T01:30:20.0717841Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0718026Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0718132Z                 'obj_weakref': None
2022-11-23T01:30:20.0718353Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0718415Z             }
2022-11-23T01:30:20.0718478Z             
2022-11-23T01:30:20.0718548Z  - 
2022-11-23T01:30:20.0718670Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0718734Z             {
2022-11-23T01:30:20.0718863Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0718970Z                 'code': None,
2022-11-23T01:30:20.0719183Z                 'obj_weakref': <weakref at 0x7ff59c05fab0; to 'Tensor' at 0x7ff5a8c11a30>
2022-11-23T01:30:20.0719468Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0719533Z             }
2022-11-23T01:30:20.0719598Z             
2022-11-23T01:30:20.0719669Z  - 
2022-11-23T01:30:20.0719773Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0719837Z             {
2022-11-23T01:30:20.0719971Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0720138Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:20.0720359Z                 'obj_weakref': <weakref at 0x7ff59c047a60; to 'Sequential' at 0x7ff58f929ed0>
2022-11-23T01:30:20.0720595Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0720662Z             }
2022-11-23T01:30:20.0720713Z             
2022-11-23T01:30:20.0720783Z  - 
2022-11-23T01:30:20.0720903Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0720992Z             {
2022-11-23T01:30:20.0721130Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0721352Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0721469Z                 'obj_weakref': None
2022-11-23T01:30:20.0721675Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0721740Z             }
2022-11-23T01:30:20.0721803Z             
2022-11-23T01:30:20.0721872Z  - 
2022-11-23T01:30:20.0722018Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0722083Z             {
2022-11-23T01:30:20.0722203Z                 'guard_types': None,
2022-11-23T01:30:20.0722296Z                 'code': None,
2022-11-23T01:30:20.0722414Z                 'obj_weakref': None
2022-11-23T01:30:20.0722536Z                 'guarded_class': None
2022-11-23T01:30:20.0722600Z             }
2022-11-23T01:30:20.0722666Z             
2022-11-23T01:30:20.0722734Z  - 
2022-11-23T01:30:20.0722880Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0722929Z             {
2022-11-23T01:30:20.0723049Z                 'guard_types': None,
2022-11-23T01:30:20.0723156Z                 'code': None,
2022-11-23T01:30:20.0723274Z                 'obj_weakref': None
2022-11-23T01:30:20.0723395Z                 'guarded_class': None
2022-11-23T01:30:20.0723461Z             }
2022-11-23T01:30:20.0723512Z             
2022-11-23T01:30:20.0723773Z [2022-11-23 01:25:27,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 267
2022-11-23T01:30:20.0724144Z [2022-11-23 01:25:27,443] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lb/clbztumvxzpux2da4tqo3tmi2zcdfuoi3mniatg5zljuedb3ou4n.py
2022-11-23T01:30:20.0724407Z [2022-11-23 01:25:27,443] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 267
2022-11-23T01:30:20.0724647Z [2022-11-23 01:25:27,446] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0724963Z [2022-11-23 01:25:27,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0725178Z [2022-11-23 01:25:27,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0725420Z [2022-11-23 01:25:27,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0725685Z [2022-11-23 01:25:27,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0725997Z [2022-11-23 01:25:27,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0726323Z [2022-11-23 01:25:27,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0726670Z [2022-11-23 01:25:27,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0726921Z [2022-11-23 01:25:27,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0727153Z [2022-11-23 01:25:27,451] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0727405Z [2022-11-23 01:25:27,452] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0727651Z [2022-11-23 01:25:27,460] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0727836Z [2022-11-23 01:25:27,460] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0727968Z  __compiled_fn_275 <eval_with_key>.2361 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0728056Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0728170Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0728267Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0728273Z 
2022-11-23T01:30:20.0728599Z [2022-11-23 01:25:27,460] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0728690Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0728776Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0728863Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0728953Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0729036Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0729111Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0729184Z              12 RETURN_VALUE
2022-11-23T01:30:20.0729189Z 
2022-11-23T01:30:20.0729247Z  
2022-11-23T01:30:20.0729565Z [2022-11-23 01:25:27,460] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0729672Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_275)
2022-11-23T01:30:20.0729761Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0729850Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0729927Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0730002Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0730089Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0730162Z              12 RETURN_VALUE
2022-11-23T01:30:20.0730167Z 
2022-11-23T01:30:20.0730226Z  
2022-11-23T01:30:20.0730408Z [2022-11-23 01:25:27,461] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0730475Z  - 
2022-11-23T01:30:20.0730592Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0730642Z             {
2022-11-23T01:30:20.0730782Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0730968Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0731085Z                 'obj_weakref': None
2022-11-23T01:30:20.0731311Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0731374Z             }
2022-11-23T01:30:20.0731435Z             
2022-11-23T01:30:20.0731492Z  - 
2022-11-23T01:30:20.0731613Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0731678Z             {
2022-11-23T01:30:20.0731820Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0731925Z                 'code': None,
2022-11-23T01:30:20.0732136Z                 'obj_weakref': <weakref at 0x7ff5a87f1fd0; to 'Tensor' at 0x7ff58fc4f830>
2022-11-23T01:30:20.0732387Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0732438Z             }
2022-11-23T01:30:20.0732500Z             
2022-11-23T01:30:20.0732568Z  - 
2022-11-23T01:30:20.0732688Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0732751Z             {
2022-11-23T01:30:20.0732882Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0733100Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:20.0733307Z                 'obj_weakref': <weakref at 0x7ff58fdc3510; to 'Sequential' at 0x7ff5a97fd9c0>
2022-11-23T01:30:20.0733540Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0733601Z             }
2022-11-23T01:30:20.0733663Z             
2022-11-23T01:30:20.0733730Z  - 
2022-11-23T01:30:20.0733851Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0733913Z             {
2022-11-23T01:30:20.0734034Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0734248Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0734364Z                 'obj_weakref': None
2022-11-23T01:30:20.0734608Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0734670Z             }
2022-11-23T01:30:20.0734735Z             
2022-11-23T01:30:20.0734804Z  - 
2022-11-23T01:30:20.0734936Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0734997Z             {
2022-11-23T01:30:20.0735116Z                 'guard_types': None,
2022-11-23T01:30:20.0735219Z                 'code': None,
2022-11-23T01:30:20.0735334Z                 'obj_weakref': None
2022-11-23T01:30:20.0735453Z                 'guarded_class': None
2022-11-23T01:30:20.0735515Z             }
2022-11-23T01:30:20.0735565Z             
2022-11-23T01:30:20.0735632Z  - 
2022-11-23T01:30:20.0735774Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0735835Z             {
2022-11-23T01:30:20.0735953Z                 'guard_types': None,
2022-11-23T01:30:20.0736057Z                 'code': None,
2022-11-23T01:30:20.0736160Z                 'obj_weakref': None
2022-11-23T01:30:20.0736281Z                 'guarded_class': None
2022-11-23T01:30:20.0736341Z             }
2022-11-23T01:30:20.0736402Z             
2022-11-23T01:30:20.0736776Z [2022-11-23 01:25:27,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 268
2022-11-23T01:30:20.0737139Z [2022-11-23 01:25:27,473] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nn/cnn57f646huilzezbrgefuq2a3zvbyrkhlbyfgmslnot26q75v2m.py
2022-11-23T01:30:20.0737403Z [2022-11-23 01:25:27,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 268
2022-11-23T01:30:20.0737641Z [2022-11-23 01:25:27,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0737944Z [2022-11-23 01:25:27,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0738160Z [2022-11-23 01:25:27,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0738401Z [2022-11-23 01:25:27,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0738668Z [2022-11-23 01:25:27,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0738979Z [2022-11-23 01:25:27,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0739316Z [2022-11-23 01:25:27,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0739628Z [2022-11-23 01:25:27,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0739870Z [2022-11-23 01:25:27,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0740106Z [2022-11-23 01:25:27,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0740398Z [2022-11-23 01:25:27,486] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0740636Z [2022-11-23 01:25:27,497] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0740819Z [2022-11-23 01:25:27,497] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0740950Z  __compiled_fn_276 <eval_with_key>.2372 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0741037Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0741136Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0741234Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0741239Z 
2022-11-23T01:30:20.0741562Z [2022-11-23 01:25:27,498] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0741689Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0741766Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0741854Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0741948Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0742032Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0742119Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0742193Z              12 RETURN_VALUE
2022-11-23T01:30:20.0742199Z 
2022-11-23T01:30:20.0742258Z  
2022-11-23T01:30:20.0742579Z [2022-11-23 01:25:27,498] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0742673Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_276)
2022-11-23T01:30:20.0742760Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0742848Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0742926Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0743011Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0743098Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0743171Z              12 RETURN_VALUE
2022-11-23T01:30:20.0743176Z 
2022-11-23T01:30:20.0743223Z  
2022-11-23T01:30:20.0743403Z [2022-11-23 01:25:27,499] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0743470Z  - 
2022-11-23T01:30:20.0743587Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0743649Z             {
2022-11-23T01:30:20.0743788Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0743971Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0744077Z                 'obj_weakref': None
2022-11-23T01:30:20.0744297Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0744359Z             }
2022-11-23T01:30:20.0744423Z             
2022-11-23T01:30:20.0744490Z  - 
2022-11-23T01:30:20.0744612Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0744673Z             {
2022-11-23T01:30:20.0744803Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0744906Z                 'code': None,
2022-11-23T01:30:20.0745115Z                 'obj_weakref': <weakref at 0x7ff58f986110; to 'Tensor' at 0x7ff5a807bc90>
2022-11-23T01:30:20.0745365Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0745428Z             }
2022-11-23T01:30:20.0745489Z             
2022-11-23T01:30:20.0745557Z  - 
2022-11-23T01:30:20.0745663Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0745728Z             {
2022-11-23T01:30:20.0745860Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0746027Z                 'code': ['___check_obj_id(model, 140692652776640)'],
2022-11-23T01:30:20.0746244Z                 'obj_weakref': <weakref at 0x7ff58f987830; to 'Sequential' at 0x7ff58f975cc0>
2022-11-23T01:30:20.0746480Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0746570Z             }
2022-11-23T01:30:20.0746633Z             
2022-11-23T01:30:20.0746689Z  - 
2022-11-23T01:30:20.0746809Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0746869Z             {
2022-11-23T01:30:20.0747003Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0747217Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0747337Z                 'obj_weakref': None
2022-11-23T01:30:20.0747555Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0747605Z             }
2022-11-23T01:30:20.0747666Z             
2022-11-23T01:30:20.0747732Z  - 
2022-11-23T01:30:20.0747875Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0747960Z             {
2022-11-23T01:30:20.0748078Z                 'guard_types': None,
2022-11-23T01:30:20.0748170Z                 'code': None,
2022-11-23T01:30:20.0748288Z                 'obj_weakref': None
2022-11-23T01:30:20.0748409Z                 'guarded_class': None
2022-11-23T01:30:20.0748471Z             }
2022-11-23T01:30:20.0748532Z             
2022-11-23T01:30:20.0748598Z  - 
2022-11-23T01:30:20.0748738Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0748787Z             {
2022-11-23T01:30:20.0748905Z                 'guard_types': None,
2022-11-23T01:30:20.0749009Z                 'code': None,
2022-11-23T01:30:20.0749125Z                 'obj_weakref': None
2022-11-23T01:30:20.0749244Z                 'guarded_class': None
2022-11-23T01:30:20.0749304Z             }
2022-11-23T01:30:20.0749364Z             
2022-11-23T01:30:20.0749606Z [2022-11-23 01:25:27,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 269
2022-11-23T01:30:20.0749961Z [2022-11-23 01:25:27,512] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f6/cf67dh6u52kkc4v6sdwgd2dw2tj363z6gxd764hwujd7yzrg454w.py
2022-11-23T01:30:20.0750224Z [2022-11-23 01:25:27,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 269
2022-11-23T01:30:20.0750458Z [2022-11-23 01:25:27,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0750773Z [2022-11-23 01:25:27,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0750986Z [2022-11-23 01:25:27,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0751227Z [2022-11-23 01:25:27,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0751492Z [2022-11-23 01:25:27,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0751803Z [2022-11-23 01:25:27,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0752130Z [2022-11-23 01:25:27,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0752442Z [2022-11-23 01:25:27,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0752683Z [2022-11-23 01:25:27,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0752915Z [2022-11-23 01:25:27,519] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0753163Z [2022-11-23 01:25:27,520] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0753408Z [2022-11-23 01:25:27,526] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0753599Z [2022-11-23 01:25:27,527] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0753760Z  __compiled_fn_277 <eval_with_key>.2383 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0753916Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0754004Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0754101Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0754107Z 
2022-11-23T01:30:20.0754436Z [2022-11-23 01:25:27,527] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0754529Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0754618Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0754702Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0754793Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0754911Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0754987Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0755063Z              12 RETURN_VALUE
2022-11-23T01:30:20.0755070Z 
2022-11-23T01:30:20.0755130Z  
2022-11-23T01:30:20.0755451Z [2022-11-23 01:25:27,527] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0755554Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_277)
2022-11-23T01:30:20.0755641Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0755729Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0755805Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0755880Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0755966Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0756040Z              12 RETURN_VALUE
2022-11-23T01:30:20.0756045Z 
2022-11-23T01:30:20.0756102Z  
2022-11-23T01:30:20.0756284Z [2022-11-23 01:25:27,528] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0756350Z  - 
2022-11-23T01:30:20.0756467Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0756520Z             {
2022-11-23T01:30:20.0756660Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0756846Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0756966Z                 'obj_weakref': None
2022-11-23T01:30:20.0757186Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0757248Z             }
2022-11-23T01:30:20.0757309Z             
2022-11-23T01:30:20.0757364Z  - 
2022-11-23T01:30:20.0757485Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0757546Z             {
2022-11-23T01:30:20.0757686Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0757790Z                 'code': None,
2022-11-23T01:30:20.0757996Z                 'obj_weakref': <weakref at 0x7ff58f99b290; to 'Tensor' at 0x7ff5a8232750>
2022-11-23T01:30:20.0758250Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0758300Z             }
2022-11-23T01:30:20.0758361Z             
2022-11-23T01:30:20.0758428Z  - 
2022-11-23T01:30:20.0758547Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0758610Z             {
2022-11-23T01:30:20.0758740Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0758907Z                 'code': ['___check_obj_id(model, 140692659335424)'],
2022-11-23T01:30:20.0759116Z                 'obj_weakref': <weakref at 0x7ff58f9de930; to 'Sequential' at 0x7ff58ffb7100>
2022-11-23T01:30:20.0759349Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0759411Z             }
2022-11-23T01:30:20.0759474Z             
2022-11-23T01:30:20.0759543Z  - 
2022-11-23T01:30:20.0759666Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0759730Z             {
2022-11-23T01:30:20.0759853Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0760119Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0760239Z                 'obj_weakref': None
2022-11-23T01:30:20.0760458Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0760522Z             }
2022-11-23T01:30:20.0760585Z             
2022-11-23T01:30:20.0760652Z  - 
2022-11-23T01:30:20.0760785Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0760848Z             {
2022-11-23T01:30:20.0760969Z                 'guard_types': None,
2022-11-23T01:30:20.0761079Z                 'code': None,
2022-11-23T01:30:20.0761197Z                 'obj_weakref': None
2022-11-23T01:30:20.0761318Z                 'guarded_class': None
2022-11-23T01:30:20.0761381Z             }
2022-11-23T01:30:20.0761459Z             
2022-11-23T01:30:20.0761527Z  - 
2022-11-23T01:30:20.0761669Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0761731Z             {
2022-11-23T01:30:20.0761852Z                 'guard_types': None,
2022-11-23T01:30:20.0761959Z                 'code': None,
2022-11-23T01:30:20.0762064Z                 'obj_weakref': None
2022-11-23T01:30:20.0762184Z                 'guarded_class': None
2022-11-23T01:30:20.0762246Z             }
2022-11-23T01:30:20.0762309Z             
2022-11-23T01:30:20.0762570Z [2022-11-23 01:25:27,538] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 270
2022-11-23T01:30:20.0762938Z [2022-11-23 01:25:27,540] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jj/cjj7odzpwmgrbu3q7jcrlfenwxk23e5uzpqkxutv56xya2bvg4ah.py
2022-11-23T01:30:20.0763201Z [2022-11-23 01:25:27,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 270
2022-11-23T01:30:20.0763437Z [2022-11-23 01:25:27,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0763756Z [2022-11-23 01:25:27,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0763959Z [2022-11-23 01:25:27,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0764200Z [2022-11-23 01:25:27,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0764465Z [2022-11-23 01:25:27,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0764776Z [2022-11-23 01:25:27,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0765110Z [2022-11-23 01:25:27,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0765423Z [2022-11-23 01:25:27,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0765665Z [2022-11-23 01:25:27,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0765895Z [2022-11-23 01:25:27,552] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0766152Z [2022-11-23 01:25:27,553] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0766388Z [2022-11-23 01:25:27,566] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0766575Z [2022-11-23 01:25:27,566] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0766708Z  __compiled_fn_278 <eval_with_key>.2394 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0766797Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0766898Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0766995Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0767000Z 
2022-11-23T01:30:20.0767352Z [2022-11-23 01:25:27,566] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0767449Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0767542Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0767616Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0767704Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0767789Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0767876Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0767950Z              12 RETURN_VALUE
2022-11-23T01:30:20.0767956Z 
2022-11-23T01:30:20.0768014Z  
2022-11-23T01:30:20.0768337Z [2022-11-23 01:25:27,566] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0768461Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_278)
2022-11-23T01:30:20.0768555Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0768642Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0768717Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0768802Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0768890Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0768964Z              12 RETURN_VALUE
2022-11-23T01:30:20.0768969Z 
2022-11-23T01:30:20.0769031Z  
2022-11-23T01:30:20.0769202Z [2022-11-23 01:25:27,567] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0769270Z  - 
2022-11-23T01:30:20.0769385Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0769448Z             {
2022-11-23T01:30:20.0769584Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0769767Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0769893Z                 'obj_weakref': None
2022-11-23T01:30:20.0770107Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0770169Z             }
2022-11-23T01:30:20.0770230Z             
2022-11-23T01:30:20.0770296Z  - 
2022-11-23T01:30:20.0770417Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0770478Z             {
2022-11-23T01:30:20.0770604Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0770708Z                 'code': None,
2022-11-23T01:30:20.0770917Z                 'obj_weakref': <weakref at 0x7ff58f9e8a40; to 'Tensor' at 0x7ff57ff16fc0>
2022-11-23T01:30:20.0771168Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0771230Z             }
2022-11-23T01:30:20.0771291Z             
2022-11-23T01:30:20.0771358Z  - 
2022-11-23T01:30:20.0771467Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0771528Z             {
2022-11-23T01:30:20.0771659Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0771827Z                 'code': ['___check_obj_id(model, 140693067883920)'],
2022-11-23T01:30:20.0772046Z                 'obj_weakref': <weakref at 0x7ff58fd0ad90; to 'Sequential' at 0x7ff5a8556590>
2022-11-23T01:30:20.0772277Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0772338Z             }
2022-11-23T01:30:20.0772400Z             
2022-11-23T01:30:20.0772454Z  - 
2022-11-23T01:30:20.0772574Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0772635Z             {
2022-11-23T01:30:20.0772769Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0772983Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0773098Z                 'obj_weakref': None
2022-11-23T01:30:20.0773318Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0773369Z             }
2022-11-23T01:30:20.0773427Z             
2022-11-23T01:30:20.0773521Z  - 
2022-11-23T01:30:20.0773666Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0773727Z             {
2022-11-23T01:30:20.0773845Z                 'guard_types': None,
2022-11-23T01:30:20.0773938Z                 'code': None,
2022-11-23T01:30:20.0774049Z                 'obj_weakref': None
2022-11-23T01:30:20.0774168Z                 'guarded_class': None
2022-11-23T01:30:20.0774232Z             }
2022-11-23T01:30:20.0774293Z             
2022-11-23T01:30:20.0774360Z  - 
2022-11-23T01:30:20.0774502Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0774552Z             {
2022-11-23T01:30:20.0774667Z                 'guard_types': None,
2022-11-23T01:30:20.0774772Z                 'code': None,
2022-11-23T01:30:20.0774887Z                 'obj_weakref': None
2022-11-23T01:30:20.0775034Z                 'guarded_class': None
2022-11-23T01:30:20.0775095Z             }
2022-11-23T01:30:20.0775155Z             
2022-11-23T01:30:20.0775401Z [2022-11-23 01:25:27,578] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 271
2022-11-23T01:30:20.0775407Z 
2022-11-23T01:30:20.0775498Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0775564Z import torch
2022-11-23T01:30:20.0775632Z import random
2022-11-23T01:30:20.0775744Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0775864Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0775869Z 
2022-11-23T01:30:20.0775944Z aten = torch.ops.aten
2022-11-23T01:30:20.0776074Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0776154Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0776159Z 
2022-11-23T01:30:20.0776163Z 
2022-11-23T01:30:20.0776249Z async_compile.wait(globals())
2022-11-23T01:30:20.0776322Z del async_compile
2022-11-23T01:30:20.0776327Z 
2022-11-23T01:30:20.0776395Z def call(args):
2022-11-23T01:30:20.0776571Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0776644Z     args.clear()
2022-11-23T01:30:20.0776870Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'leaky_relu', [0.1], '')
2022-11-23T01:30:20.0776924Z     del arg0_1
2022-11-23T01:30:20.0776990Z     del arg1_1
2022-11-23T01:30:20.0777054Z     del arg2_1
2022-11-23T01:30:20.0777123Z     return (buf0, )
2022-11-23T01:30:20.0777127Z 
2022-11-23T01:30:20.0777131Z 
2022-11-23T01:30:20.0777207Z if __name__ == "__main__":
2022-11-23T01:30:20.0777318Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0777440Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0777643Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0777829Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0778036Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0778155Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0778163Z 
2022-11-23T01:30:20.0778167Z 
2022-11-23T01:30:20.0778259Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0778329Z import torch
2022-11-23T01:30:20.0778399Z import random
2022-11-23T01:30:20.0778511Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0778628Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0778633Z 
2022-11-23T01:30:20.0778697Z aten = torch.ops.aten
2022-11-23T01:30:20.0778827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0778915Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0778920Z 
2022-11-23T01:30:20.0778924Z 
2022-11-23T01:30:20.0779010Z async_compile.wait(globals())
2022-11-23T01:30:20.0779080Z del async_compile
2022-11-23T01:30:20.0779085Z 
2022-11-23T01:30:20.0779154Z def call(args):
2022-11-23T01:30:20.0779229Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0779297Z     args.clear()
2022-11-23T01:30:20.0779554Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'leaky_relu', [0.1], '')
2022-11-23T01:30:20.0779625Z     del arg0_1
2022-11-23T01:30:20.0779691Z     del arg1_1
2022-11-23T01:30:20.0779761Z     return (buf0, )
2022-11-23T01:30:20.0779766Z 
2022-11-23T01:30:20.0779770Z 
2022-11-23T01:30:20.0779845Z if __name__ == "__main__":
2022-11-23T01:30:20.0779957Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0780077Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0780269Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0780474Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0780587Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0780592Z 
2022-11-23T01:30:20.0780629Z 
2022-11-23T01:30:20.0780722Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0780790Z import torch
2022-11-23T01:30:20.0780859Z import random
2022-11-23T01:30:20.0780974Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0781091Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0781095Z 
2022-11-23T01:30:20.0781160Z aten = torch.ops.aten
2022-11-23T01:30:20.0781289Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0781378Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0781383Z 
2022-11-23T01:30:20.0781387Z 
2022-11-23T01:30:20.0781473Z async_compile.wait(globals())
2022-11-23T01:30:20.0781544Z del async_compile
2022-11-23T01:30:20.0781549Z 
2022-11-23T01:30:20.0781616Z def call(args):
2022-11-23T01:30:20.0781694Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0781763Z     args.clear()
2022-11-23T01:30:20.0781979Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'leaky_relu', [0.1], '')
2022-11-23T01:30:20.0782046Z     del arg0_1
2022-11-23T01:30:20.0782112Z     del arg1_1
2022-11-23T01:30:20.0782177Z     del arg2_1
2022-11-23T01:30:20.0782245Z     return (buf0, )
2022-11-23T01:30:20.0782252Z 
2022-11-23T01:30:20.0782256Z 
2022-11-23T01:30:20.0782325Z if __name__ == "__main__":
2022-11-23T01:30:20.0782433Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0782540Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0782740Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0782935Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0783131Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0783249Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0783254Z 
2022-11-23T01:30:20.0783258Z 
2022-11-23T01:30:20.0783348Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0783421Z import torch
2022-11-23T01:30:20.0783488Z import random
2022-11-23T01:30:20.0783587Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0783705Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0783710Z 
2022-11-23T01:30:20.0783786Z aten = torch.ops.aten
2022-11-23T01:30:20.0783915Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0784003Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0784008Z 
2022-11-23T01:30:20.0784011Z 
2022-11-23T01:30:20.0784098Z async_compile.wait(globals())
2022-11-23T01:30:20.0784165Z del async_compile
2022-11-23T01:30:20.0784169Z 
2022-11-23T01:30:20.0784238Z def call(args):
2022-11-23T01:30:20.0784301Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0784368Z     args.clear()
2022-11-23T01:30:20.0784592Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'leaky_relu', [0.1], '')
2022-11-23T01:30:20.0784657Z     del arg0_1
2022-11-23T01:30:20.0784723Z     del arg1_1
2022-11-23T01:30:20.0784794Z     return (buf0, )
2022-11-23T01:30:20.0784799Z 
2022-11-23T01:30:20.0784803Z 
2022-11-23T01:30:20.0784876Z if __name__ == "__main__":
2022-11-23T01:30:20.0785022Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0785131Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0785329Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0785524Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0785639Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0785644Z 
2022-11-23T01:30:20.0785648Z 
2022-11-23T01:30:20.0785738Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0785806Z import torch
2022-11-23T01:30:20.0785874Z import random
2022-11-23T01:30:20.0785984Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0786089Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0786126Z 
2022-11-23T01:30:20.0786203Z aten = torch.ops.aten
2022-11-23T01:30:20.0786332Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0786420Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0786427Z 
2022-11-23T01:30:20.0786431Z 
2022-11-23T01:30:20.0786517Z async_compile.wait(globals())
2022-11-23T01:30:20.0786586Z del async_compile
2022-11-23T01:30:20.0786590Z 
2022-11-23T01:30:20.0786659Z def call(args):
2022-11-23T01:30:20.0786737Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0786795Z     args.clear()
2022-11-23T01:30:20.0787025Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [-0.5, 4], '')
2022-11-23T01:30:20.0787090Z     del arg0_1
2022-11-23T01:30:20.0787153Z     del arg1_1
2022-11-23T01:30:20.0787221Z     del arg2_1
2022-11-23T01:30:20.0787291Z     return (buf0, )
2022-11-23T01:30:20.0787295Z 
2022-11-23T01:30:20.0787299Z 
2022-11-23T01:30:20.0787372Z if __name__ == "__main__":
2022-11-23T01:30:20.0787471Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0787594Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0787795Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0787984Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0788187Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0788305Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0788310Z 
2022-11-23T01:30:20.0788315Z 
2022-11-23T01:30:20.0788406Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0788473Z import torch
2022-11-23T01:30:20.0788530Z import random
2022-11-23T01:30:20.0788642Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0788759Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0788764Z 
2022-11-23T01:30:20.0788838Z aten = torch.ops.aten
2022-11-23T01:30:20.0788970Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0789058Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0789062Z 
2022-11-23T01:30:20.0789067Z 
2022-11-23T01:30:20.0789154Z async_compile.wait(globals())
2022-11-23T01:30:20.0789225Z del async_compile
2022-11-23T01:30:20.0789230Z 
2022-11-23T01:30:20.0789287Z def call(args):
2022-11-23T01:30:20.0789359Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0789428Z     args.clear()
2022-11-23T01:30:20.0789654Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [-0.5, 4], '')
2022-11-23T01:30:20.0789719Z     del arg0_1
2022-11-23T01:30:20.0789783Z     del arg1_1
2022-11-23T01:30:20.0789852Z     return (buf0, )
2022-11-23T01:30:20.0789857Z 
2022-11-23T01:30:20.0789861Z 
2022-11-23T01:30:20.0789924Z if __name__ == "__main__":
2022-11-23T01:30:20.0790035Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0790156Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0790358Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0790564Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0790702Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0790708Z 
2022-11-23T01:30:20.0790712Z 
2022-11-23T01:30:20.0790803Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0790870Z import torch
2022-11-23T01:30:20.0790927Z import random
2022-11-23T01:30:20.0791038Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0791152Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0791157Z 
2022-11-23T01:30:20.0791232Z aten = torch.ops.aten
2022-11-23T01:30:20.0791359Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0791447Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0791452Z 
2022-11-23T01:30:20.0791455Z 
2022-11-23T01:30:20.0791540Z async_compile.wait(globals())
2022-11-23T01:30:20.0791642Z del async_compile
2022-11-23T01:30:20.0791647Z 
2022-11-23T01:30:20.0791704Z def call(args):
2022-11-23T01:30:20.0791784Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0791855Z     args.clear()
2022-11-23T01:30:20.0792082Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [-0.5, 4], '')
2022-11-23T01:30:20.0792148Z     del arg0_1
2022-11-23T01:30:20.0792213Z     del arg1_1
2022-11-23T01:30:20.0792276Z     del arg2_1
2022-11-23T01:30:20.0792334Z     return (buf0, )
2022-11-23T01:30:20.0792339Z 
2022-11-23T01:30:20.0792354Z 
2022-11-23T01:30:20.0792415Z if __name__ == "__main__":
2022-11-23T01:30:20.0792524Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0792642Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0792843Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0793037Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0793233Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0793352Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0793359Z 
2022-11-23T01:30:20.0793363Z 
2022-11-23T01:30:20.0793454Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0793511Z import torch
2022-11-23T01:30:20.0793578Z import random
2022-11-23T01:30:20.0793689Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0793896Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0793901Z 
2022-11-23T01:30:20.0793979Z aten = torch.ops.aten
2022-11-23T01:30:20.0794109Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0794197Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0794202Z 
2022-11-23T01:30:20.0794206Z 
2022-11-23T01:30:20.0794280Z async_compile.wait(globals())
2022-11-23T01:30:20.0794351Z del async_compile
2022-11-23T01:30:20.0794356Z 
2022-11-23T01:30:20.0794429Z def call(args):
2022-11-23T01:30:20.0794502Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0794572Z     args.clear()
2022-11-23T01:30:20.0794801Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [-0.5, 4], '')
2022-11-23T01:30:20.0794868Z     del arg0_1
2022-11-23T01:30:20.0794934Z     del arg1_1
2022-11-23T01:30:20.0794992Z     return (buf0, )
2022-11-23T01:30:20.0794997Z 
2022-11-23T01:30:20.0795001Z 
2022-11-23T01:30:20.0795074Z if __name__ == "__main__":
2022-11-23T01:30:20.0795184Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0795305Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0795503Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0795699Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0795812Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0795817Z 
2022-11-23T01:30:20.0796191Z [2022-11-23 01:25:27,580] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiscosbsh7svuge74zkaolptmv4acohjbkgz2gmoa57dgaucexz.py
2022-11-23T01:30:20.0796474Z [2022-11-23 01:25:27,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 271
2022-11-23T01:30:20.0796714Z [2022-11-23 01:25:27,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0797031Z [2022-11-23 01:25:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0797246Z [2022-11-23 01:25:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0797488Z [2022-11-23 01:25:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0797756Z [2022-11-23 01:25:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0798095Z [2022-11-23 01:25:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0798430Z [2022-11-23 01:25:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0798741Z [2022-11-23 01:25:27,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0798983Z [2022-11-23 01:25:27,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0799204Z [2022-11-23 01:25:27,588] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0799456Z [2022-11-23 01:25:27,589] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0799704Z [2022-11-23 01:25:27,596] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0799891Z [2022-11-23 01:25:27,596] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0800025Z  __compiled_fn_279 <eval_with_key>.2405 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0800114Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0800213Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0800312Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0800317Z 
2022-11-23T01:30:20.0800643Z [2022-11-23 01:25:27,596] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0800725Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0800813Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0800898Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0800987Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0801073Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0801163Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0801236Z              12 RETURN_VALUE
2022-11-23T01:30:20.0801243Z 
2022-11-23T01:30:20.0801292Z  
2022-11-23T01:30:20.0801616Z [2022-11-23 01:25:27,597] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0801722Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_279)
2022-11-23T01:30:20.0801811Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0801900Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0801973Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0802057Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0802146Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0802208Z              12 RETURN_VALUE
2022-11-23T01:30:20.0802213Z 
2022-11-23T01:30:20.0802275Z  
2022-11-23T01:30:20.0802461Z [2022-11-23 01:25:27,597] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0802531Z  - 
2022-11-23T01:30:20.0802648Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0802749Z             {
2022-11-23T01:30:20.0802889Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0803062Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0803179Z                 'obj_weakref': None
2022-11-23T01:30:20.0803399Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0803462Z             }
2022-11-23T01:30:20.0803522Z             
2022-11-23T01:30:20.0803591Z  - 
2022-11-23T01:30:20.0803714Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0803766Z             {
2022-11-23T01:30:20.0803906Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0804012Z                 'code': None,
2022-11-23T01:30:20.0804224Z                 'obj_weakref': <weakref at 0x7ff58f9dc6d0; to 'Tensor' at 0x7ff58ff00810>
2022-11-23T01:30:20.0804501Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0804562Z             }
2022-11-23T01:30:20.0804623Z             
2022-11-23T01:30:20.0804678Z  - 
2022-11-23T01:30:20.0804794Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0804855Z             {
2022-11-23T01:30:20.0804987Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0805153Z                 'code': ['___check_obj_id(model, 140693065710080)'],
2022-11-23T01:30:20.0805372Z                 'obj_weakref': <weakref at 0x7ff58f9dce00; to 'Sequential' at 0x7ff5a8343a00>
2022-11-23T01:30:20.0805607Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0805658Z             }
2022-11-23T01:30:20.0805718Z             
2022-11-23T01:30:20.0805786Z  - 
2022-11-23T01:30:20.0805907Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0805971Z             {
2022-11-23T01:30:20.0806105Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0806324Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0806430Z                 'obj_weakref': None
2022-11-23T01:30:20.0806648Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0806711Z             }
2022-11-23T01:30:20.0811300Z             
2022-11-23T01:30:20.0811397Z  - 
2022-11-23T01:30:20.0811555Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0811608Z             {
2022-11-23T01:30:20.0811729Z                 'guard_types': None,
2022-11-23T01:30:20.0811835Z                 'code': None,
2022-11-23T01:30:20.0811955Z                 'obj_weakref': None
2022-11-23T01:30:20.0812076Z                 'guarded_class': None
2022-11-23T01:30:20.0812139Z             }
2022-11-23T01:30:20.0812206Z             
2022-11-23T01:30:20.0812262Z  - 
2022-11-23T01:30:20.0812406Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0812467Z             {
2022-11-23T01:30:20.0812586Z                 'guard_types': None,
2022-11-23T01:30:20.0812690Z                 'code': None,
2022-11-23T01:30:20.0812806Z                 'obj_weakref': None
2022-11-23T01:30:20.0812924Z                 'guarded_class': None
2022-11-23T01:30:20.0812974Z             }
2022-11-23T01:30:20.0813036Z             
2022-11-23T01:30:20.0813300Z [2022-11-23 01:25:27,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 272
2022-11-23T01:30:20.0813670Z [2022-11-23 01:25:27,610] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kc/ckcj2hxqgfvw32ozsxnd6nonpq3g3yevlm6pifi6jcb6j5jgipkh.py
2022-11-23T01:30:20.0813931Z [2022-11-23 01:25:27,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 272
2022-11-23T01:30:20.0814167Z [2022-11-23 01:25:27,613] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0814553Z [2022-11-23 01:25:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0814771Z [2022-11-23 01:25:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0815004Z [2022-11-23 01:25:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0815273Z [2022-11-23 01:25:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0815581Z [2022-11-23 01:25:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0815968Z [2022-11-23 01:25:27,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0816383Z [2022-11-23 01:25:27,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0816728Z [2022-11-23 01:25:27,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0816961Z [2022-11-23 01:25:27,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0817211Z [2022-11-23 01:25:27,623] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0817456Z [2022-11-23 01:25:27,634] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0817643Z [2022-11-23 01:25:27,634] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0817765Z  __compiled_fn_280 <eval_with_key>.2416 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0817854Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0817957Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0818054Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0818062Z 
2022-11-23T01:30:20.0818391Z [2022-11-23 01:25:27,634] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0818485Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0818572Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0818656Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0818735Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0818818Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0818905Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0818979Z              12 RETURN_VALUE
2022-11-23T01:30:20.0818985Z 
2022-11-23T01:30:20.0819044Z  
2022-11-23T01:30:20.0819369Z [2022-11-23 01:25:27,635] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0819476Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_280)
2022-11-23T01:30:20.0819566Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0819644Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0819720Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0819804Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0819894Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0819966Z              12 RETURN_VALUE
2022-11-23T01:30:20.0819972Z 
2022-11-23T01:30:20.0820029Z  
2022-11-23T01:30:20.0820210Z [2022-11-23 01:25:27,635] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0820266Z  - 
2022-11-23T01:30:20.0820381Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0820443Z             {
2022-11-23T01:30:20.0820579Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0820763Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0820883Z                 'obj_weakref': None
2022-11-23T01:30:20.0821160Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0821214Z             }
2022-11-23T01:30:20.0821275Z             
2022-11-23T01:30:20.0821341Z  - 
2022-11-23T01:30:20.0821463Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0821525Z             {
2022-11-23T01:30:20.0821664Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0821770Z                 'code': None,
2022-11-23T01:30:20.0821967Z                 'obj_weakref': <weakref at 0x7ff58f985530; to 'Tensor' at 0x7ff5a97925c0>
2022-11-23T01:30:20.0822217Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0822277Z             }
2022-11-23T01:30:20.0822338Z             
2022-11-23T01:30:20.0822404Z  - 
2022-11-23T01:30:20.0822562Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0822623Z             {
2022-11-23T01:30:20.0822746Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0822913Z                 'code': ['___check_obj_id(model, 140693067928896)'],
2022-11-23T01:30:20.0823132Z                 'obj_weakref': <weakref at 0x7ff58fdc1e90; to 'Sequential' at 0x7ff5a8561540>
2022-11-23T01:30:20.0823361Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0823422Z             }
2022-11-23T01:30:20.0823483Z             
2022-11-23T01:30:20.0823550Z  - 
2022-11-23T01:30:20.0823660Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0823720Z             {
2022-11-23T01:30:20.0823852Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0824068Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0824185Z                 'obj_weakref': None
2022-11-23T01:30:20.0824406Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0824468Z             }
2022-11-23T01:30:20.0824517Z             
2022-11-23T01:30:20.0824587Z  - 
2022-11-23T01:30:20.0824730Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0824789Z             {
2022-11-23T01:30:20.0824907Z                 'guard_types': None,
2022-11-23T01:30:20.0825012Z                 'code': None,
2022-11-23T01:30:20.0825128Z                 'obj_weakref': None
2022-11-23T01:30:20.0825236Z                 'guarded_class': None
2022-11-23T01:30:20.0825299Z             }
2022-11-23T01:30:20.0825360Z             
2022-11-23T01:30:20.0825424Z  - 
2022-11-23T01:30:20.0825567Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0825630Z             {
2022-11-23T01:30:20.0825735Z                 'guard_types': None,
2022-11-23T01:30:20.0825838Z                 'code': None,
2022-11-23T01:30:20.0825953Z                 'obj_weakref': None
2022-11-23T01:30:20.0826075Z                 'guarded_class': None
2022-11-23T01:30:20.0826139Z             }
2022-11-23T01:30:20.0826201Z             
2022-11-23T01:30:20.0826463Z [2022-11-23 01:25:27,646] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 273
2022-11-23T01:30:20.0826835Z [2022-11-23 01:25:27,648] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4dh3lzrzxemv76jkwwqhwt5wko6ks2vfqeptpqjoqrd5z6px6h.py
2022-11-23T01:30:20.0827087Z [2022-11-23 01:25:27,648] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 273
2022-11-23T01:30:20.0827322Z [2022-11-23 01:25:27,652] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0827635Z [2022-11-23 01:25:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0827848Z [2022-11-23 01:25:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0828094Z [2022-11-23 01:25:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0828392Z [2022-11-23 01:25:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0828706Z [2022-11-23 01:25:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0829040Z [2022-11-23 01:25:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0829348Z [2022-11-23 01:25:27,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0829588Z [2022-11-23 01:25:27,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0829840Z [2022-11-23 01:25:27,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0830092Z [2022-11-23 01:25:27,656] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0830338Z [2022-11-23 01:25:27,663] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0830530Z [2022-11-23 01:25:27,663] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0830664Z  __compiled_fn_281 <eval_with_key>.2427 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0830752Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0830848Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0830943Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0830950Z 
2022-11-23T01:30:20.0831259Z [2022-11-23 01:25:27,663] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0831354Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0831440Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0831526Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0831617Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0831700Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0831809Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0831911Z              12 RETURN_VALUE
2022-11-23T01:30:20.0831919Z 
2022-11-23T01:30:20.0831995Z  
2022-11-23T01:30:20.0832333Z [2022-11-23 01:25:27,663] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0832440Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_281)
2022-11-23T01:30:20.0832529Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0832617Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0832694Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0832779Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0832856Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0832943Z              12 RETURN_VALUE
2022-11-23T01:30:20.0832948Z 
2022-11-23T01:30:20.0833018Z  
2022-11-23T01:30:20.0833210Z [2022-11-23 01:25:27,664] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0833277Z  - 
2022-11-23T01:30:20.0833393Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0833455Z             {
2022-11-23T01:30:20.0833593Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0833767Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0833951Z                 'obj_weakref': None
2022-11-23T01:30:20.0834179Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0834243Z             }
2022-11-23T01:30:20.0834308Z             
2022-11-23T01:30:20.0834379Z  - 
2022-11-23T01:30:20.0834502Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0834552Z             {
2022-11-23T01:30:20.0834736Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0834848Z                 'code': None,
2022-11-23T01:30:20.0835059Z                 'obj_weakref': <weakref at 0x7ff58f95fce0; to 'Tensor' at 0x7ff59c14dbc0>
2022-11-23T01:30:20.0835313Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0835375Z             }
2022-11-23T01:30:20.0835437Z             
2022-11-23T01:30:20.0835492Z  - 
2022-11-23T01:30:20.0835610Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0835671Z             {
2022-11-23T01:30:20.0835803Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0835975Z                 'code': ['___check_obj_id(model, 140693065710080)'],
2022-11-23T01:30:20.0836204Z                 'obj_weakref': <weakref at 0x7ff5a865aca0; to 'Sequential' at 0x7ff5a8343a00>
2022-11-23T01:30:20.0836497Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0836549Z             }
2022-11-23T01:30:20.0836610Z             
2022-11-23T01:30:20.0836680Z  - 
2022-11-23T01:30:20.0836800Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0836860Z             {
2022-11-23T01:30:20.0836998Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0837218Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0837322Z                 'obj_weakref': None
2022-11-23T01:30:20.0837551Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0837615Z             }
2022-11-23T01:30:20.0837680Z             
2022-11-23T01:30:20.0837749Z  - 
2022-11-23T01:30:20.0837892Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0837956Z             {
2022-11-23T01:30:20.0838061Z                 'guard_types': None,
2022-11-23T01:30:20.0838168Z                 'code': None,
2022-11-23T01:30:20.0838285Z                 'obj_weakref': None
2022-11-23T01:30:20.0838409Z                 'guarded_class': None
2022-11-23T01:30:20.0838473Z             }
2022-11-23T01:30:20.0838534Z             
2022-11-23T01:30:20.0838601Z  - 
2022-11-23T01:30:20.0838732Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0838798Z             {
2022-11-23T01:30:20.0838918Z                 'guard_types': None,
2022-11-23T01:30:20.0839025Z                 'code': None,
2022-11-23T01:30:20.0839144Z                 'obj_weakref': None
2022-11-23T01:30:20.0839264Z                 'guarded_class': None
2022-11-23T01:30:20.0839326Z             }
2022-11-23T01:30:20.0839375Z             
2022-11-23T01:30:20.0839635Z [2022-11-23 01:25:27,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 274
2022-11-23T01:30:20.0840034Z [2022-11-23 01:25:27,676] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gk/cgk2vcmi4kjeivcy7k6ldqumloc5q7du5b6c6l3pe3vdzefzwiyk.py
2022-11-23T01:30:20.0840345Z [2022-11-23 01:25:27,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 274
2022-11-23T01:30:20.0840613Z [2022-11-23 01:25:27,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0840928Z [2022-11-23 01:25:27,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0841144Z [2022-11-23 01:25:27,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0841385Z [2022-11-23 01:25:27,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0841653Z [2022-11-23 01:25:27,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0842344Z [2022-11-23 01:25:27,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0842703Z [2022-11-23 01:25:27,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0843017Z [2022-11-23 01:25:27,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0843268Z [2022-11-23 01:25:27,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0843503Z [2022-11-23 01:25:27,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0843758Z [2022-11-23 01:25:27,690] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0844004Z [2022-11-23 01:25:27,704] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0844223Z [2022-11-23 01:25:27,705] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0844358Z  __compiled_fn_282 <eval_with_key>.2438 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0844450Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0844536Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0844635Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0844641Z 
2022-11-23T01:30:20.0844966Z [2022-11-23 01:25:27,705] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0845057Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0845147Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0845234Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0845438Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0845529Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0845604Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0845681Z              12 RETURN_VALUE
2022-11-23T01:30:20.0845689Z 
2022-11-23T01:30:20.0845749Z  
2022-11-23T01:30:20.0846073Z [2022-11-23 01:25:27,705] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0846178Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_282)
2022-11-23T01:30:20.0846270Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0846358Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0846434Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0846509Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0846598Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0846674Z              12 RETURN_VALUE
2022-11-23T01:30:20.0846679Z 
2022-11-23T01:30:20.0846738Z  
2022-11-23T01:30:20.0846924Z [2022-11-23 01:25:27,707] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0846994Z  - 
2022-11-23T01:30:20.0847115Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0847168Z             {
2022-11-23T01:30:20.0847311Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0847497Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0847616Z                 'obj_weakref': None
2022-11-23T01:30:20.0847840Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0847905Z             }
2022-11-23T01:30:20.0847967Z             
2022-11-23T01:30:20.0848024Z  - 
2022-11-23T01:30:20.0848147Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0848211Z             {
2022-11-23T01:30:20.0848349Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0848454Z                 'code': None,
2022-11-23T01:30:20.0848668Z                 'obj_weakref': <weakref at 0x7ff59c05eb10; to 'Tensor' at 0x7ff59c046160>
2022-11-23T01:30:20.0848924Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0849006Z             }
2022-11-23T01:30:20.0849071Z             
2022-11-23T01:30:20.0849141Z  - 
2022-11-23T01:30:20.0849259Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0849322Z             {
2022-11-23T01:30:20.0849454Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0849621Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:20.0849829Z                 'obj_weakref': <weakref at 0x7ff58f95e160; to 'Sequential' at 0x7ff58f929ed0>
2022-11-23T01:30:20.0850060Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0850122Z             }
2022-11-23T01:30:20.0850184Z             
2022-11-23T01:30:20.0850253Z  - 
2022-11-23T01:30:20.0850376Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0850468Z             {
2022-11-23T01:30:20.0850593Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0850812Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0850930Z                 'obj_weakref': None
2022-11-23T01:30:20.0851149Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0851212Z             }
2022-11-23T01:30:20.0851274Z             
2022-11-23T01:30:20.0851343Z  - 
2022-11-23T01:30:20.0851475Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0851539Z             {
2022-11-23T01:30:20.0851658Z                 'guard_types': None,
2022-11-23T01:30:20.0851763Z                 'code': None,
2022-11-23T01:30:20.0851879Z                 'obj_weakref': None
2022-11-23T01:30:20.0851998Z                 'guarded_class': None
2022-11-23T01:30:20.0852058Z             }
2022-11-23T01:30:20.0852110Z             
2022-11-23T01:30:20.0852178Z  - 
2022-11-23T01:30:20.0852322Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0852386Z             {
2022-11-23T01:30:20.0852505Z                 'guard_types': None,
2022-11-23T01:30:20.0852610Z                 'code': None,
2022-11-23T01:30:20.0852714Z                 'obj_weakref': None
2022-11-23T01:30:20.0852832Z                 'guarded_class': None
2022-11-23T01:30:20.0852894Z             }
2022-11-23T01:30:20.0852955Z             
2022-11-23T01:30:20.0853215Z [2022-11-23 01:25:27,722] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 275
2022-11-23T01:30:20.0853584Z [2022-11-23 01:25:27,725] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/im/cimtazad25dk653zn7bxlo3oeehxzgxdwfomp52p2yp72bwv7in5.py
2022-11-23T01:30:20.0853850Z [2022-11-23 01:25:27,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 275
2022-11-23T01:30:20.0854088Z [2022-11-23 01:25:27,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0854390Z [2022-11-23 01:25:27,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0854606Z [2022-11-23 01:25:27,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0854850Z [2022-11-23 01:25:27,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0855117Z [2022-11-23 01:25:27,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0855433Z [2022-11-23 01:25:27,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0855771Z [2022-11-23 01:25:27,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0856087Z [2022-11-23 01:25:27,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0856373Z [2022-11-23 01:25:27,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0856718Z [2022-11-23 01:25:27,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0856970Z [2022-11-23 01:25:27,734] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0857209Z [2022-11-23 01:25:27,741] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0857397Z [2022-11-23 01:25:27,742] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0857531Z  __compiled_fn_283 <eval_with_key>.2449 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0857621Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0857773Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0857873Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0857880Z 
2022-11-23T01:30:20.0858207Z [2022-11-23 01:25:27,742] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0858300Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0858501Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0858585Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0858677Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0858763Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0858851Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0858972Z              12 RETURN_VALUE
2022-11-23T01:30:20.0858978Z 
2022-11-23T01:30:20.0859039Z  
2022-11-23T01:30:20.0859364Z [2022-11-23 01:25:27,742] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0859460Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_283)
2022-11-23T01:30:20.0859555Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0859644Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0859721Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0859808Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0859900Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0859976Z              12 RETURN_VALUE
2022-11-23T01:30:20.0859980Z 
2022-11-23T01:30:20.0860028Z  
2022-11-23T01:30:20.0860210Z [2022-11-23 01:25:27,743] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0860279Z  - 
2022-11-23T01:30:20.0860398Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0860461Z             {
2022-11-23T01:30:20.0860601Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0860787Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0860895Z                 'obj_weakref': None
2022-11-23T01:30:20.0861121Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0861184Z             }
2022-11-23T01:30:20.0861246Z             
2022-11-23T01:30:20.0861316Z  - 
2022-11-23T01:30:20.0861440Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0861503Z             {
2022-11-23T01:30:20.0861631Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0861737Z                 'code': None,
2022-11-23T01:30:20.0861952Z                 'obj_weakref': <weakref at 0x7ff58f9eac50; to 'Tensor' at 0x7ff5a807ab10>
2022-11-23T01:30:20.0862205Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0862268Z             }
2022-11-23T01:30:20.0862332Z             
2022-11-23T01:30:20.0862400Z  - 
2022-11-23T01:30:20.0862509Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0862572Z             {
2022-11-23T01:30:20.0862705Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0862919Z                 'code': ['___check_obj_id(model, 140692652779376)'],
2022-11-23T01:30:20.0863137Z                 'obj_weakref': <weakref at 0x7ff58f998590; to 'Sequential' at 0x7ff58f976770>
2022-11-23T01:30:20.0863370Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0863435Z             }
2022-11-23T01:30:20.0863500Z             
2022-11-23T01:30:20.0863556Z  - 
2022-11-23T01:30:20.0863678Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0863742Z             {
2022-11-23T01:30:20.0863879Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0864097Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0864213Z                 'obj_weakref': None
2022-11-23T01:30:20.0864463Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0864513Z             }
2022-11-23T01:30:20.0864576Z             
2022-11-23T01:30:20.0864647Z  - 
2022-11-23T01:30:20.0864869Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0864931Z             {
2022-11-23T01:30:20.0865080Z                 'guard_types': None,
2022-11-23T01:30:20.0865172Z                 'code': None,
2022-11-23T01:30:20.0865289Z                 'obj_weakref': None
2022-11-23T01:30:20.0865410Z                 'guarded_class': None
2022-11-23T01:30:20.0865472Z             }
2022-11-23T01:30:20.0865534Z             
2022-11-23T01:30:20.0865601Z  - 
2022-11-23T01:30:20.0865747Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0865797Z             {
2022-11-23T01:30:20.0865913Z                 'guard_types': None,
2022-11-23T01:30:20.0866017Z                 'code': None,
2022-11-23T01:30:20.0866135Z                 'obj_weakref': None
2022-11-23T01:30:20.0866257Z                 'guarded_class': None
2022-11-23T01:30:20.0866319Z             }
2022-11-23T01:30:20.0866381Z             
2022-11-23T01:30:20.0866665Z [2022-11-23 01:25:27,753] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 276
2022-11-23T01:30:20.0867031Z [2022-11-23 01:25:27,755] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4smnu5qs3nf4zlc3usdbe5sbywlco4orwsb5bxd3wasqliubi3i.py
2022-11-23T01:30:20.0867294Z [2022-11-23 01:25:27,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 276
2022-11-23T01:30:20.0867528Z [2022-11-23 01:25:27,759] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0867842Z [2022-11-23 01:25:27,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0868061Z [2022-11-23 01:25:27,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0868305Z [2022-11-23 01:25:27,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0868575Z [2022-11-23 01:25:27,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0868886Z [2022-11-23 01:25:27,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0869221Z [2022-11-23 01:25:27,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0869519Z [2022-11-23 01:25:27,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0869766Z [2022-11-23 01:25:27,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0870001Z [2022-11-23 01:25:27,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0870286Z [2022-11-23 01:25:27,768] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0870541Z [2022-11-23 01:25:27,781] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0870728Z [2022-11-23 01:25:27,781] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0870861Z  __compiled_fn_284 <eval_with_key>.2460 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0870949Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0871035Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0871134Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0871140Z 
2022-11-23T01:30:20.0871462Z [2022-11-23 01:25:27,781] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0871584Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0871673Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0871761Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0871851Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0871936Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0872012Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0872086Z              12 RETURN_VALUE
2022-11-23T01:30:20.0872092Z 
2022-11-23T01:30:20.0872151Z  
2022-11-23T01:30:20.0872473Z [2022-11-23 01:25:27,782] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0872584Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_284)
2022-11-23T01:30:20.0872672Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0872763Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0872845Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0872921Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0873010Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0873086Z              12 RETURN_VALUE
2022-11-23T01:30:20.0873091Z 
2022-11-23T01:30:20.0873150Z  
2022-11-23T01:30:20.0873333Z [2022-11-23 01:25:27,782] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0873404Z  - 
2022-11-23T01:30:20.0873522Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0873574Z             {
2022-11-23T01:30:20.0873715Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0873962Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0874084Z                 'obj_weakref': None
2022-11-23T01:30:20.0874309Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0874372Z             }
2022-11-23T01:30:20.0874434Z             
2022-11-23T01:30:20.0874494Z  - 
2022-11-23T01:30:20.0874616Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0874678Z             {
2022-11-23T01:30:20.0874822Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0874930Z                 'code': None,
2022-11-23T01:30:20.0875145Z                 'obj_weakref': <weakref at 0x7ff59c0ec6d0; to 'Tensor' at 0x7ff58f9ead40>
2022-11-23T01:30:20.0875398Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0875450Z             }
2022-11-23T01:30:20.0875513Z             
2022-11-23T01:30:20.0875581Z  - 
2022-11-23T01:30:20.0875699Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0875761Z             {
2022-11-23T01:30:20.0875895Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0876063Z                 'code': ['___check_obj_id(model, 140692652776640)'],
2022-11-23T01:30:20.0876272Z                 'obj_weakref': <weakref at 0x7ff59c0eca40; to 'Sequential' at 0x7ff58f975cc0>
2022-11-23T01:30:20.0876511Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0876604Z             }
2022-11-23T01:30:20.0876668Z             
2022-11-23T01:30:20.0876741Z  - 
2022-11-23T01:30:20.0876863Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0876926Z             {
2022-11-23T01:30:20.0877049Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0877266Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0877384Z                 'obj_weakref': None
2022-11-23T01:30:20.0877604Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0877668Z             }
2022-11-23T01:30:20.0877732Z             
2022-11-23T01:30:20.0877800Z  - 
2022-11-23T01:30:20.0877930Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0878019Z             {
2022-11-23T01:30:20.0878138Z                 'guard_types': None,
2022-11-23T01:30:20.0878241Z                 'code': None,
2022-11-23T01:30:20.0878356Z                 'obj_weakref': None
2022-11-23T01:30:20.0878479Z                 'guarded_class': None
2022-11-23T01:30:20.0878544Z             }
2022-11-23T01:30:20.0878593Z             
2022-11-23T01:30:20.0878661Z  - 
2022-11-23T01:30:20.0878804Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0878867Z             {
2022-11-23T01:30:20.0878984Z                 'guard_types': None,
2022-11-23T01:30:20.0879092Z                 'code': None,
2022-11-23T01:30:20.0879209Z                 'obj_weakref': None
2022-11-23T01:30:20.0879316Z                 'guarded_class': None
2022-11-23T01:30:20.0879382Z             }
2022-11-23T01:30:20.0879444Z             
2022-11-23T01:30:20.0879702Z [2022-11-23 01:25:27,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 277
2022-11-23T01:30:20.0880071Z [2022-11-23 01:25:27,796] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/cea3uzpyyj5qewfobhnjb76u6efopo6mqe47hpda2d7hnx4tivhm.py
2022-11-23T01:30:20.0880334Z [2022-11-23 01:25:27,796] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 277
2022-11-23T01:30:20.0880569Z [2022-11-23 01:25:27,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0880882Z [2022-11-23 01:25:27,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0881085Z [2022-11-23 01:25:27,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0881327Z [2022-11-23 01:25:27,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0881596Z [2022-11-23 01:25:27,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0881915Z [2022-11-23 01:25:27,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0882253Z [2022-11-23 01:25:27,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0882564Z [2022-11-23 01:25:27,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0882805Z [2022-11-23 01:25:27,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0883039Z [2022-11-23 01:25:27,804] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0883291Z [2022-11-23 01:25:27,805] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0883539Z [2022-11-23 01:25:27,811] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0883714Z [2022-11-23 01:25:27,811] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0883876Z  __compiled_fn_285 <eval_with_key>.2471 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0883967Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0884065Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0884164Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0884170Z 
2022-11-23T01:30:20.0884494Z [2022-11-23 01:25:27,812] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0884588Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0884679Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0884752Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0884844Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0884957Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0885044Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0885120Z              12 RETURN_VALUE
2022-11-23T01:30:20.0885128Z 
2022-11-23T01:30:20.0885190Z  
2022-11-23T01:30:20.0885514Z [2022-11-23 01:25:27,812] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0885608Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_285)
2022-11-23T01:30:20.0885698Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0885787Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0885864Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0885951Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0886041Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0886115Z              12 RETURN_VALUE
2022-11-23T01:30:20.0886120Z 
2022-11-23T01:30:20.0886180Z  
2022-11-23T01:30:20.0886352Z [2022-11-23 01:25:27,813] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0886419Z  - 
2022-11-23T01:30:20.0886536Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0886603Z             {
2022-11-23T01:30:20.0886745Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0886932Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0887052Z                 'obj_weakref': None
2022-11-23T01:30:20.0887262Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0887326Z             }
2022-11-23T01:30:20.0887389Z             
2022-11-23T01:30:20.0887459Z  - 
2022-11-23T01:30:20.0887582Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0887644Z             {
2022-11-23T01:30:20.0887771Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0887880Z                 'code': None,
2022-11-23T01:30:20.0888093Z                 'obj_weakref': <weakref at 0x7ff59c05c310; to 'Tensor' at 0x7ff59c14dbc0>
2022-11-23T01:30:20.0888350Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0888415Z             }
2022-11-23T01:30:20.0888478Z             
2022-11-23T01:30:20.0888548Z  - 
2022-11-23T01:30:20.0888669Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0888720Z             {
2022-11-23T01:30:20.0888855Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0889024Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:20.0889244Z                 'obj_weakref': <weakref at 0x7ff58f9ebdd0; to 'Sequential' at 0x7ff5a97fd9c0>
2022-11-23T01:30:20.0889479Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0889542Z             }
2022-11-23T01:30:20.0889607Z             
2022-11-23T01:30:20.0889663Z  - 
2022-11-23T01:30:20.0889783Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0889849Z             {
2022-11-23T01:30:20.0889985Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0890233Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0890349Z                 'obj_weakref': None
2022-11-23T01:30:20.0890565Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0890615Z             }
2022-11-23T01:30:20.0890680Z             
2022-11-23T01:30:20.0890747Z  - 
2022-11-23T01:30:20.0890893Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0890956Z             {
2022-11-23T01:30:20.0891073Z                 'guard_types': None,
2022-11-23T01:30:20.0891183Z                 'code': None,
2022-11-23T01:30:20.0891287Z                 'obj_weakref': None
2022-11-23T01:30:20.0891407Z                 'guarded_class': None
2022-11-23T01:30:20.0891471Z             }
2022-11-23T01:30:20.0891566Z             
2022-11-23T01:30:20.0891636Z  - 
2022-11-23T01:30:20.0891780Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0891830Z             {
2022-11-23T01:30:20.0891951Z                 'guard_types': None,
2022-11-23T01:30:20.0892056Z                 'code': None,
2022-11-23T01:30:20.0892171Z                 'obj_weakref': None
2022-11-23T01:30:20.0892290Z                 'guarded_class': None
2022-11-23T01:30:20.0892353Z             }
2022-11-23T01:30:20.0892416Z             
2022-11-23T01:30:20.0892662Z [2022-11-23 01:25:27,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 278
2022-11-23T01:30:20.0893027Z [2022-11-23 01:25:27,825] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7m/c7mevqbscxgzbftodfw53lre5sx5mnxr3ittuk7kjiv4u53leccy.py
2022-11-23T01:30:20.0893290Z [2022-11-23 01:25:27,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 278
2022-11-23T01:30:20.0893523Z [2022-11-23 01:25:27,829] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0893845Z [2022-11-23 01:25:27,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0894060Z [2022-11-23 01:25:27,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0894304Z [2022-11-23 01:25:27,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0894571Z [2022-11-23 01:25:27,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0894882Z [2022-11-23 01:25:27,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0895214Z [2022-11-23 01:25:27,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0895514Z [2022-11-23 01:25:27,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0895761Z [2022-11-23 01:25:27,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0895997Z [2022-11-23 01:25:27,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0896247Z [2022-11-23 01:25:27,839] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0896683Z [2022-11-23 01:25:27,851] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0896874Z [2022-11-23 01:25:27,851] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0897007Z  __compiled_fn_286 <eval_with_key>.2482 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0897098Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0897200Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0897286Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0897291Z 
2022-11-23T01:30:20.0897668Z [2022-11-23 01:25:27,852] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0897763Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0897853Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0897940Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0898034Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0898120Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0898195Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0898270Z              12 RETURN_VALUE
2022-11-23T01:30:20.0898277Z 
2022-11-23T01:30:20.0898338Z  
2022-11-23T01:30:20.0898660Z [2022-11-23 01:25:27,852] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0898811Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_286)
2022-11-23T01:30:20.0898902Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0898992Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0899069Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0899144Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0899234Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0899311Z              12 RETURN_VALUE
2022-11-23T01:30:20.0899316Z 
2022-11-23T01:30:20.0899379Z  
2022-11-23T01:30:20.0899562Z [2022-11-23 01:25:27,852] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0899631Z  - 
2022-11-23T01:30:20.0899748Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0899800Z             {
2022-11-23T01:30:20.0899939Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0900127Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0900251Z                 'obj_weakref': None
2022-11-23T01:30:20.0900478Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0900543Z             }
2022-11-23T01:30:20.0900606Z             
2022-11-23T01:30:20.0900663Z  - 
2022-11-23T01:30:20.0900785Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0900848Z             {
2022-11-23T01:30:20.0900989Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0901099Z                 'code': None,
2022-11-23T01:30:20.0901313Z                 'obj_weakref': <weakref at 0x7ff58ff00d10; to 'Tensor' at 0x7ff5a81e3ab0>
2022-11-23T01:30:20.0901567Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0901618Z             }
2022-11-23T01:30:20.0901681Z             
2022-11-23T01:30:20.0901749Z  - 
2022-11-23T01:30:20.0901877Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0901939Z             {
2022-11-23T01:30:20.0902074Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0902247Z                 'code': ['___check_obj_id(model, 140693067883920)'],
2022-11-23T01:30:20.0902454Z                 'obj_weakref': <weakref at 0x7ff58f95d3a0; to 'Sequential' at 0x7ff5a8556590>
2022-11-23T01:30:20.0902686Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0902750Z             }
2022-11-23T01:30:20.0902816Z             
2022-11-23T01:30:20.0902884Z  - 
2022-11-23T01:30:20.0903006Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0903069Z             {
2022-11-23T01:30:20.0903193Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0903411Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0903529Z                 'obj_weakref': None
2022-11-23T01:30:20.0903753Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0903817Z             }
2022-11-23T01:30:20.0903879Z             
2022-11-23T01:30:20.0903998Z  - 
2022-11-23T01:30:20.0904134Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0904199Z             {
2022-11-23T01:30:20.0904319Z                 'guard_types': None,
2022-11-23T01:30:20.0904422Z                 'code': None,
2022-11-23T01:30:20.0904540Z                 'obj_weakref': None
2022-11-23T01:30:20.0904658Z                 'guarded_class': None
2022-11-23T01:30:20.0904720Z             }
2022-11-23T01:30:20.0904769Z             
2022-11-23T01:30:20.0904838Z  - 
2022-11-23T01:30:20.0904982Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0905044Z             {
2022-11-23T01:30:20.0905162Z                 'guard_types': None,
2022-11-23T01:30:20.0905267Z                 'code': None,
2022-11-23T01:30:20.0905385Z                 'obj_weakref': None
2022-11-23T01:30:20.0905525Z                 'guarded_class': None
2022-11-23T01:30:20.0905587Z             }
2022-11-23T01:30:20.0905650Z             
2022-11-23T01:30:20.0905914Z [2022-11-23 01:25:27,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 279
2022-11-23T01:30:20.0905920Z 
2022-11-23T01:30:20.0906017Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0906088Z import torch
2022-11-23T01:30:20.0906158Z import random
2022-11-23T01:30:20.0906260Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0906382Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0906388Z 
2022-11-23T01:30:20.0906464Z aten = torch.ops.aten
2022-11-23T01:30:20.0906597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0906688Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0906693Z 
2022-11-23T01:30:20.0906697Z 
2022-11-23T01:30:20.0906787Z async_compile.wait(globals())
2022-11-23T01:30:20.0906863Z del async_compile
2022-11-23T01:30:20.0906868Z 
2022-11-23T01:30:20.0906939Z def call(args):
2022-11-23T01:30:20.0907009Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0907082Z     args.clear()
2022-11-23T01:30:20.0907302Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'none')
2022-11-23T01:30:20.0907370Z     del arg0_1
2022-11-23T01:30:20.0907438Z     del arg1_1
2022-11-23T01:30:20.0907504Z     del arg2_1
2022-11-23T01:30:20.0907575Z     return (buf0, )
2022-11-23T01:30:20.0907580Z 
2022-11-23T01:30:20.0907585Z 
2022-11-23T01:30:20.0907648Z if __name__ == "__main__":
2022-11-23T01:30:20.0907763Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0907883Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0908086Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0908283Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0908490Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0908614Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0908621Z 
2022-11-23T01:30:20.0908625Z 
2022-11-23T01:30:20.0908720Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0908776Z import torch
2022-11-23T01:30:20.0908846Z import random
2022-11-23T01:30:20.0908959Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0909076Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0909081Z 
2022-11-23T01:30:20.0909160Z aten = torch.ops.aten
2022-11-23T01:30:20.0909293Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0909383Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0909389Z 
2022-11-23T01:30:20.0909393Z 
2022-11-23T01:30:20.0909481Z async_compile.wait(globals())
2022-11-23T01:30:20.0909540Z del async_compile
2022-11-23T01:30:20.0909559Z 
2022-11-23T01:30:20.0909615Z def call(args):
2022-11-23T01:30:20.0909692Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0909764Z     args.clear()
2022-11-23T01:30:20.0910017Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'none')
2022-11-23T01:30:20.0910091Z     del arg0_1
2022-11-23T01:30:20.0910154Z     del arg1_1
2022-11-23T01:30:20.0910212Z     return (buf0, )
2022-11-23T01:30:20.0910217Z 
2022-11-23T01:30:20.0910233Z 
2022-11-23T01:30:20.0910295Z if __name__ == "__main__":
2022-11-23T01:30:20.0910405Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0910525Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0910728Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0910934Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0911046Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0911050Z 
2022-11-23T01:30:20.0911056Z 
2022-11-23T01:30:20.0911177Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0911245Z import torch
2022-11-23T01:30:20.0911300Z import random
2022-11-23T01:30:20.0911415Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0911533Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0911538Z 
2022-11-23T01:30:20.0911613Z aten = torch.ops.aten
2022-11-23T01:30:20.0911742Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0911832Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0911836Z 
2022-11-23T01:30:20.0911840Z 
2022-11-23T01:30:20.0911926Z async_compile.wait(globals())
2022-11-23T01:30:20.0911984Z del async_compile
2022-11-23T01:30:20.0912001Z 
2022-11-23T01:30:20.0912057Z def call(args):
2022-11-23T01:30:20.0912137Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0912206Z     args.clear()
2022-11-23T01:30:20.0912421Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'none')
2022-11-23T01:30:20.0912491Z     del arg0_1
2022-11-23T01:30:20.0912555Z     del arg1_1
2022-11-23T01:30:20.0912608Z     del arg2_1
2022-11-23T01:30:20.0912677Z     return (buf0, )
2022-11-23T01:30:20.0912682Z 
2022-11-23T01:30:20.0912688Z 
2022-11-23T01:30:20.0912764Z if __name__ == "__main__":
2022-11-23T01:30:20.0912876Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0912998Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0913199Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0913397Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0913596Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0913704Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0913725Z 
2022-11-23T01:30:20.0913729Z 
2022-11-23T01:30:20.0913892Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0913963Z import torch
2022-11-23T01:30:20.0914037Z import random
2022-11-23T01:30:20.0914149Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0914271Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0914278Z 
2022-11-23T01:30:20.0914354Z aten = torch.ops.aten
2022-11-23T01:30:20.0914491Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0914567Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0914586Z 
2022-11-23T01:30:20.0914590Z 
2022-11-23T01:30:20.0914663Z async_compile.wait(globals())
2022-11-23T01:30:20.0914734Z del async_compile
2022-11-23T01:30:20.0914739Z 
2022-11-23T01:30:20.0914809Z def call(args):
2022-11-23T01:30:20.0914883Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0914952Z     args.clear()
2022-11-23T01:30:20.0915169Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'none')
2022-11-23T01:30:20.0915236Z     del arg0_1
2022-11-23T01:30:20.0915289Z     del arg1_1
2022-11-23T01:30:20.0915360Z     return (buf0, )
2022-11-23T01:30:20.0915367Z 
2022-11-23T01:30:20.0915370Z 
2022-11-23T01:30:20.0915448Z if __name__ == "__main__":
2022-11-23T01:30:20.0915562Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0915719Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0915928Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0916129Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0916242Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0916248Z 
2022-11-23T01:30:20.0916252Z 
2022-11-23T01:30:20.0916332Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0916401Z import torch
2022-11-23T01:30:20.0916471Z import random
2022-11-23T01:30:20.0916602Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0916778Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0916785Z 
2022-11-23T01:30:20.0916913Z aten = torch.ops.aten
2022-11-23T01:30:20.0917044Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0917122Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0917137Z 
2022-11-23T01:30:20.0917144Z 
2022-11-23T01:30:20.0917218Z async_compile.wait(globals())
2022-11-23T01:30:20.0917290Z del async_compile
2022-11-23T01:30:20.0917295Z 
2022-11-23T01:30:20.0917366Z def call(args):
2022-11-23T01:30:20.0917448Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0917519Z     args.clear()
2022-11-23T01:30:20.0917739Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'tanh')
2022-11-23T01:30:20.0917807Z     del arg0_1
2022-11-23T01:30:20.0917861Z     del arg1_1
2022-11-23T01:30:20.0917926Z     del arg2_1
2022-11-23T01:30:20.0917998Z     return (buf0, )
2022-11-23T01:30:20.0918002Z 
2022-11-23T01:30:20.0918006Z 
2022-11-23T01:30:20.0918082Z if __name__ == "__main__":
2022-11-23T01:30:20.0918196Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0918321Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0918523Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0918719Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0918911Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0919034Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0919039Z 
2022-11-23T01:30:20.0919043Z 
2022-11-23T01:30:20.0919136Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0919207Z import torch
2022-11-23T01:30:20.0919277Z import random
2022-11-23T01:30:20.0919391Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0919509Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0919514Z 
2022-11-23T01:30:20.0919589Z aten = torch.ops.aten
2022-11-23T01:30:20.0919709Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0919799Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0919804Z 
2022-11-23T01:30:20.0919808Z 
2022-11-23T01:30:20.0919892Z async_compile.wait(globals())
2022-11-23T01:30:20.0919964Z del async_compile
2022-11-23T01:30:20.0919969Z 
2022-11-23T01:30:20.0920037Z def call(args):
2022-11-23T01:30:20.0920110Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0920179Z     args.clear()
2022-11-23T01:30:20.0920381Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'tanh')
2022-11-23T01:30:20.0920446Z     del arg0_1
2022-11-23T01:30:20.0920511Z     del arg1_1
2022-11-23T01:30:20.0920577Z     return (buf0, )
2022-11-23T01:30:20.0920581Z 
2022-11-23T01:30:20.0920585Z 
2022-11-23T01:30:20.0920659Z if __name__ == "__main__":
2022-11-23T01:30:20.0920767Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0920889Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0921085Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0921278Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0921423Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0921429Z 
2022-11-23T01:30:20.0921433Z 
2022-11-23T01:30:20.0921525Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0921592Z import torch
2022-11-23T01:30:20.0921660Z import random
2022-11-23T01:30:20.0921771Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0921887Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0921891Z 
2022-11-23T01:30:20.0921967Z aten = torch.ops.aten
2022-11-23T01:30:20.0922086Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0922174Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0922179Z 
2022-11-23T01:30:20.0922183Z 
2022-11-23T01:30:20.0922268Z async_compile.wait(globals())
2022-11-23T01:30:20.0922341Z del async_compile
2022-11-23T01:30:20.0922373Z 
2022-11-23T01:30:20.0922442Z def call(args):
2022-11-23T01:30:20.0922520Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.0922590Z     args.clear()
2022-11-23T01:30:20.0922805Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'tanh')
2022-11-23T01:30:20.0922859Z     del arg0_1
2022-11-23T01:30:20.0922923Z     del arg1_1
2022-11-23T01:30:20.0922987Z     del arg2_1
2022-11-23T01:30:20.0923058Z     return (buf0, )
2022-11-23T01:30:20.0923063Z 
2022-11-23T01:30:20.0923067Z 
2022-11-23T01:30:20.0923141Z if __name__ == "__main__":
2022-11-23T01:30:20.0923250Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0923370Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0923554Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0923746Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0923940Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0924061Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.0924066Z 
2022-11-23T01:30:20.0924070Z 
2022-11-23T01:30:20.0924166Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.0924238Z import torch
2022-11-23T01:30:20.0924305Z import random
2022-11-23T01:30:20.0924417Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.0924522Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.0924526Z 
2022-11-23T01:30:20.0924602Z aten = torch.ops.aten
2022-11-23T01:30:20.0924729Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.0924817Z async_compile = AsyncCompile()
2022-11-23T01:30:20.0924822Z 
2022-11-23T01:30:20.0924826Z 
2022-11-23T01:30:20.0924911Z async_compile.wait(globals())
2022-11-23T01:30:20.0924981Z del async_compile
2022-11-23T01:30:20.0924985Z 
2022-11-23T01:30:20.0925051Z def call(args):
2022-11-23T01:30:20.0925125Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.0925182Z     args.clear()
2022-11-23T01:30:20.0925398Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'tanh')
2022-11-23T01:30:20.0925467Z     del arg0_1
2022-11-23T01:30:20.0925532Z     del arg1_1
2022-11-23T01:30:20.0925605Z     return (buf0, )
2022-11-23T01:30:20.0925610Z 
2022-11-23T01:30:20.0925614Z 
2022-11-23T01:30:20.0925687Z if __name__ == "__main__":
2022-11-23T01:30:20.0925798Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.0925916Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.0926103Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0926297Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.0926409Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.0926414Z 
2022-11-23T01:30:20.0926783Z [2022-11-23 01:25:27,866] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ek/cekhmsl55t5uyw632g4zwbiiccvjetw5nkngylcg6bdw6q22er2c.py
2022-11-23T01:30:20.0927080Z [2022-11-23 01:25:27,866] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 279
2022-11-23T01:30:20.0927316Z [2022-11-23 01:25:27,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0927628Z [2022-11-23 01:25:27,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0927841Z [2022-11-23 01:25:27,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0928082Z [2022-11-23 01:25:27,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0928338Z [2022-11-23 01:25:27,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0928654Z [2022-11-23 01:25:27,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0929022Z [2022-11-23 01:25:27,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0929335Z [2022-11-23 01:25:27,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0929585Z [2022-11-23 01:25:27,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0929819Z [2022-11-23 01:25:27,874] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0930073Z [2022-11-23 01:25:27,875] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0930320Z [2022-11-23 01:25:27,882] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0930510Z [2022-11-23 01:25:27,883] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0930633Z  __compiled_fn_287 <eval_with_key>.2493 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0930721Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0930818Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0930916Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0930922Z 
2022-11-23T01:30:20.0931243Z [2022-11-23 01:25:27,883] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0931337Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0931423Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0931508Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0931586Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0931670Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0931758Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0931832Z              12 RETURN_VALUE
2022-11-23T01:30:20.0931837Z 
2022-11-23T01:30:20.0931897Z  
2022-11-23T01:30:20.0932219Z [2022-11-23 01:25:27,883] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0932324Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_287)
2022-11-23T01:30:20.0932413Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0932490Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0932564Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0932650Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0932738Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0932811Z              12 RETURN_VALUE
2022-11-23T01:30:20.0932816Z 
2022-11-23T01:30:20.0932874Z  
2022-11-23T01:30:20.0933055Z [2022-11-23 01:25:27,884] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0933113Z  - 
2022-11-23T01:30:20.0933230Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0933293Z             {
2022-11-23T01:30:20.0933463Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0933646Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0933762Z                 'obj_weakref': None
2022-11-23T01:30:20.0933985Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0934036Z             }
2022-11-23T01:30:20.0934096Z             
2022-11-23T01:30:20.0934164Z  - 
2022-11-23T01:30:20.0934285Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0934348Z             {
2022-11-23T01:30:20.0934488Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0934591Z                 'code': None,
2022-11-23T01:30:20.0934788Z                 'obj_weakref': <weakref at 0x7ff58f95e8e0; to 'Tensor' at 0x7ff59c05ce50>
2022-11-23T01:30:20.0935066Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0935128Z             }
2022-11-23T01:30:20.0935191Z             
2022-11-23T01:30:20.0935258Z  - 
2022-11-23T01:30:20.0935375Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0935437Z             {
2022-11-23T01:30:20.0935557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0935723Z                 'code': ['___check_obj_id(model, 140692652776592)'],
2022-11-23T01:30:20.0935941Z                 'obj_weakref': <weakref at 0x7ff57ff143b0; to 'Sequential' at 0x7ff58f975c90>
2022-11-23T01:30:20.0936174Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0936235Z             }
2022-11-23T01:30:20.0936296Z             
2022-11-23T01:30:20.0936364Z  - 
2022-11-23T01:30:20.0936594Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0936657Z             {
2022-11-23T01:30:20.0936797Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0937018Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0937139Z                 'obj_weakref': None
2022-11-23T01:30:20.0937360Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0937423Z             }
2022-11-23T01:30:20.0937473Z             
2022-11-23T01:30:20.0937542Z  - 
2022-11-23T01:30:20.0937685Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0937752Z             {
2022-11-23T01:30:20.0937872Z                 'guard_types': None,
2022-11-23T01:30:20.0937975Z                 'code': None,
2022-11-23T01:30:20.0938091Z                 'obj_weakref': None
2022-11-23T01:30:20.0938199Z                 'guarded_class': None
2022-11-23T01:30:20.0938262Z             }
2022-11-23T01:30:20.0938326Z             
2022-11-23T01:30:20.0938395Z  - 
2022-11-23T01:30:20.0938541Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0938602Z             {
2022-11-23T01:30:20.0938719Z                 'guard_types': None,
2022-11-23T01:30:20.0938814Z                 'code': None,
2022-11-23T01:30:20.0938929Z                 'obj_weakref': None
2022-11-23T01:30:20.0939047Z                 'guarded_class': None
2022-11-23T01:30:20.0939107Z             }
2022-11-23T01:30:20.0939170Z             
2022-11-23T01:30:20.0939429Z [2022-11-23 01:25:27,895] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 280
2022-11-23T01:30:20.0939789Z [2022-11-23 01:25:27,897] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/ckt42b7vn2ngljueahp7gsrc36hxyyti5ja55kmnz34z75nfxv7t.py
2022-11-23T01:30:20.0940039Z [2022-11-23 01:25:27,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 280
2022-11-23T01:30:20.0940270Z [2022-11-23 01:25:27,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0940666Z [2022-11-23 01:25:27,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0940880Z [2022-11-23 01:25:27,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0941122Z [2022-11-23 01:25:27,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0941386Z [2022-11-23 01:25:27,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0941693Z [2022-11-23 01:25:27,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0942026Z [2022-11-23 01:25:27,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0942373Z [2022-11-23 01:25:27,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0942620Z [2022-11-23 01:25:27,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0942842Z [2022-11-23 01:25:27,909] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0943096Z [2022-11-23 01:25:27,910] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0943346Z [2022-11-23 01:25:27,922] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0943532Z [2022-11-23 01:25:27,922] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0943666Z  __compiled_fn_288 <eval_with_key>.2504 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0943753Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0943850Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0943949Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0943955Z 
2022-11-23T01:30:20.0944283Z [2022-11-23 01:25:27,922] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0944364Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0944450Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0944535Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0944627Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0944711Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0944797Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0944871Z              12 RETURN_VALUE
2022-11-23T01:30:20.0944876Z 
2022-11-23T01:30:20.0944924Z  
2022-11-23T01:30:20.0945243Z [2022-11-23 01:25:27,922] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0945351Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_288)
2022-11-23T01:30:20.0945439Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0945529Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0945605Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0945693Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0945781Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0945843Z              12 RETURN_VALUE
2022-11-23T01:30:20.0945848Z 
2022-11-23T01:30:20.0945907Z  
2022-11-23T01:30:20.0946087Z [2022-11-23 01:25:27,923] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0946154Z  - 
2022-11-23T01:30:20.0946272Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0946334Z             {
2022-11-23T01:30:20.0946471Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0946644Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0946762Z                 'obj_weakref': None
2022-11-23T01:30:20.0946985Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0947095Z             }
2022-11-23T01:30:20.0947157Z             
2022-11-23T01:30:20.0947224Z  - 
2022-11-23T01:30:20.0947347Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0947398Z             {
2022-11-23T01:30:20.0947538Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0947642Z                 'code': None,
2022-11-23T01:30:20.0947853Z                 'obj_weakref': <weakref at 0x7ff58f9dc630; to 'Tensor' at 0x7ff57ff16ca0>
2022-11-23T01:30:20.0948103Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0948166Z             }
2022-11-23T01:30:20.0948232Z             
2022-11-23T01:30:20.0948289Z  - 
2022-11-23T01:30:20.0948406Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0948492Z             {
2022-11-23T01:30:20.0948623Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0948793Z                 'code': ['___check_obj_id(model, 140693067928896)'],
2022-11-23T01:30:20.0949017Z                 'obj_weakref': <weakref at 0x7ff58f9df1a0; to 'Sequential' at 0x7ff5a8561540>
2022-11-23T01:30:20.0949251Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0949302Z             }
2022-11-23T01:30:20.0949363Z             
2022-11-23T01:30:20.0949431Z  - 
2022-11-23T01:30:20.0949552Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0949614Z             {
2022-11-23T01:30:20.0949748Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0949968Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0950072Z                 'obj_weakref': None
2022-11-23T01:30:20.0950295Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0950360Z             }
2022-11-23T01:30:20.0950422Z             
2022-11-23T01:30:20.0950489Z  - 
2022-11-23T01:30:20.0950637Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0950701Z             {
2022-11-23T01:30:20.0950808Z                 'guard_types': None,
2022-11-23T01:30:20.0950914Z                 'code': None,
2022-11-23T01:30:20.0951032Z                 'obj_weakref': None
2022-11-23T01:30:20.0951153Z                 'guarded_class': None
2022-11-23T01:30:20.0951218Z             }
2022-11-23T01:30:20.0951281Z             
2022-11-23T01:30:20.0951339Z  - 
2022-11-23T01:30:20.0951483Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0951546Z             {
2022-11-23T01:30:20.0951665Z                 'guard_types': None,
2022-11-23T01:30:20.0951771Z                 'code': None,
2022-11-23T01:30:20.0951887Z                 'obj_weakref': None
2022-11-23T01:30:20.0952008Z                 'guarded_class': None
2022-11-23T01:30:20.0952060Z             }
2022-11-23T01:30:20.0952123Z             
2022-11-23T01:30:20.0952382Z [2022-11-23 01:25:27,935] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 281
2022-11-23T01:30:20.0952752Z [2022-11-23 01:25:27,937] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aj/cajgpr3dcyzqwtsz7ig24a2jwtrehwxy7ycutyv55hn6ic7su373.py
2022-11-23T01:30:20.0953016Z [2022-11-23 01:25:27,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 281
2022-11-23T01:30:20.0953252Z [2022-11-23 01:25:27,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0953568Z [2022-11-23 01:25:27,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0953784Z [2022-11-23 01:25:27,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0954113Z [2022-11-23 01:25:27,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0954410Z [2022-11-23 01:25:27,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0954722Z [2022-11-23 01:25:27,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0955056Z [2022-11-23 01:25:27,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0955366Z [2022-11-23 01:25:27,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0955611Z [2022-11-23 01:25:27,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0955844Z [2022-11-23 01:25:27,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0956126Z [2022-11-23 01:25:27,946] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0956375Z [2022-11-23 01:25:27,952] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0956563Z [2022-11-23 01:25:27,952] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0956700Z  __compiled_fn_289 <eval_with_key>.2515 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0956776Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0956875Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0956975Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0956980Z 
2022-11-23T01:30:20.0957304Z [2022-11-23 01:25:27,953] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0957399Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0957492Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0957578Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0957672Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0957745Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0957837Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0957914Z              12 RETURN_VALUE
2022-11-23T01:30:20.0957919Z 
2022-11-23T01:30:20.0957981Z  
2022-11-23T01:30:20.0958303Z [2022-11-23 01:25:27,953] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0958410Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_289)
2022-11-23T01:30:20.0958501Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0958578Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0958654Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0958745Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0958836Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0958912Z              12 RETURN_VALUE
2022-11-23T01:30:20.0958919Z 
2022-11-23T01:30:20.0958981Z  
2022-11-23T01:30:20.0959162Z [2022-11-23 01:25:27,954] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0959221Z  - 
2022-11-23T01:30:20.0959339Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0959402Z             {
2022-11-23T01:30:20.0959543Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0959726Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0959846Z                 'obj_weakref': None
2022-11-23T01:30:20.0960067Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0960131Z             }
2022-11-23T01:30:20.0960182Z             
2022-11-23T01:30:20.0960249Z  - 
2022-11-23T01:30:20.0960372Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0960434Z             {
2022-11-23T01:30:20.0960572Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0960708Z                 'code': None,
2022-11-23T01:30:20.0960907Z                 'obj_weakref': <weakref at 0x7ff58f99b790; to 'Tensor' at 0x7ff5a80a3ec0>
2022-11-23T01:30:20.0961157Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0961219Z             }
2022-11-23T01:30:20.0961282Z             
2022-11-23T01:30:20.0961350Z  - 
2022-11-23T01:30:20.0961468Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0961529Z             {
2022-11-23T01:30:20.0961648Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0961815Z                 'code': ['___check_obj_id(model, 140693065710080)'],
2022-11-23T01:30:20.0962037Z                 'obj_weakref': <weakref at 0x7ff58f9cbdd0; to 'Sequential' at 0x7ff5a8343a00>
2022-11-23T01:30:20.0962298Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0962360Z             }
2022-11-23T01:30:20.0962422Z             
2022-11-23T01:30:20.0962492Z  - 
2022-11-23T01:30:20.0962600Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0962663Z             {
2022-11-23T01:30:20.0962798Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0963014Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0963131Z                 'obj_weakref': None
2022-11-23T01:30:20.0963350Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0963411Z             }
2022-11-23T01:30:20.0963472Z             
2022-11-23T01:30:20.0963528Z  - 
2022-11-23T01:30:20.0963672Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0963734Z             {
2022-11-23T01:30:20.0963854Z                 'guard_types': None,
2022-11-23T01:30:20.0963962Z                 'code': None,
2022-11-23T01:30:20.0964078Z                 'obj_weakref': None
2022-11-23T01:30:20.0964188Z                 'guarded_class': None
2022-11-23T01:30:20.0964249Z             }
2022-11-23T01:30:20.0964309Z             
2022-11-23T01:30:20.0964376Z  - 
2022-11-23T01:30:20.0964520Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0964581Z             {
2022-11-23T01:30:20.0964698Z                 'guard_types': None,
2022-11-23T01:30:20.0964791Z                 'code': None,
2022-11-23T01:30:20.0964908Z                 'obj_weakref': None
2022-11-23T01:30:20.0965027Z                 'guarded_class': None
2022-11-23T01:30:20.0965088Z             }
2022-11-23T01:30:20.0965149Z             
2022-11-23T01:30:20.0965406Z [2022-11-23 01:25:27,964] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 282
2022-11-23T01:30:20.0965773Z [2022-11-23 01:25:27,966] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2h/c2hp5cahidxzw2xjfc62kfqlpqpxmjldwbd2zyigcr3ousfbnyv7.py
2022-11-23T01:30:20.0966038Z [2022-11-23 01:25:27,966] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 282
2022-11-23T01:30:20.0966262Z [2022-11-23 01:25:27,970] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0966572Z [2022-11-23 01:25:27,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0966788Z [2022-11-23 01:25:27,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0967028Z [2022-11-23 01:25:27,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0967293Z [2022-11-23 01:25:27,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0967603Z [2022-11-23 01:25:27,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0967968Z [2022-11-23 01:25:27,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0968280Z [2022-11-23 01:25:27,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0968525Z [2022-11-23 01:25:27,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0968744Z [2022-11-23 01:25:27,981] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0968995Z [2022-11-23 01:25:27,982] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0969242Z [2022-11-23 01:25:27,996] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0969453Z [2022-11-23 01:25:27,996] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0969588Z  __compiled_fn_290 <eval_with_key>.2526 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0969677Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0969774Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0969871Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0969877Z 
2022-11-23T01:30:20.0970201Z [2022-11-23 01:25:27,997] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0970281Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0970370Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0970455Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0970547Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0970630Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0970721Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0970795Z              12 RETURN_VALUE
2022-11-23T01:30:20.0970800Z 
2022-11-23T01:30:20.0970848Z  
2022-11-23T01:30:20.0971171Z [2022-11-23 01:25:27,997] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0971278Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_290)
2022-11-23T01:30:20.0971365Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0971454Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0971529Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0971616Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0971704Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0971765Z              12 RETURN_VALUE
2022-11-23T01:30:20.0971770Z 
2022-11-23T01:30:20.0971830Z  
2022-11-23T01:30:20.0972013Z [2022-11-23 01:25:27,998] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0972083Z  - 
2022-11-23T01:30:20.0972201Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0972265Z             {
2022-11-23T01:30:20.0972406Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0972578Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0972693Z                 'obj_weakref': None
2022-11-23T01:30:20.0972920Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0972982Z             }
2022-11-23T01:30:20.0973044Z             
2022-11-23T01:30:20.0973112Z  - 
2022-11-23T01:30:20.0973234Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0973285Z             {
2022-11-23T01:30:20.0973425Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0973528Z                 'code': None,
2022-11-23T01:30:20.0973738Z                 'obj_weakref': <weakref at 0x7ff58f9ea020; to 'Tensor' at 0x7ff58f95ca90>
2022-11-23T01:30:20.0973992Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0974055Z             }
2022-11-23T01:30:20.0974149Z             
2022-11-23T01:30:20.0974207Z  - 
2022-11-23T01:30:20.0974324Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0974386Z             {
2022-11-23T01:30:20.0974518Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0974687Z                 'code': ['___check_obj_id(model, 140692652465872)'],
2022-11-23T01:30:20.0974909Z                 'obj_weakref': <weakref at 0x7ff58f9deed0; to 'Sequential' at 0x7ff58f929ed0>
2022-11-23T01:30:20.0975143Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0975193Z             }
2022-11-23T01:30:20.0975253Z             
2022-11-23T01:30:20.0975321Z  - 
2022-11-23T01:30:20.0975441Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0975506Z             {
2022-11-23T01:30:20.0975670Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0975888Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0975994Z                 'obj_weakref': None
2022-11-23T01:30:20.0976214Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0976276Z             }
2022-11-23T01:30:20.0976336Z             
2022-11-23T01:30:20.0976402Z  - 
2022-11-23T01:30:20.0976735Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0976798Z             {
2022-11-23T01:30:20.0976905Z                 'guard_types': None,
2022-11-23T01:30:20.0977010Z                 'code': None,
2022-11-23T01:30:20.0977127Z                 'obj_weakref': None
2022-11-23T01:30:20.0977248Z                 'guarded_class': None
2022-11-23T01:30:20.0977310Z             }
2022-11-23T01:30:20.0977376Z             
2022-11-23T01:30:20.0977443Z  - 
2022-11-23T01:30:20.0977576Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0977637Z             {
2022-11-23T01:30:20.0977752Z                 'guard_types': None,
2022-11-23T01:30:20.0977859Z                 'code': None,
2022-11-23T01:30:20.0977976Z                 'obj_weakref': None
2022-11-23T01:30:20.0978096Z                 'guarded_class': None
2022-11-23T01:30:20.0978145Z             }
2022-11-23T01:30:20.0978208Z             
2022-11-23T01:30:20.0978467Z [2022-11-23 01:25:28,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 283
2022-11-23T01:30:20.0978834Z [2022-11-23 01:25:28,011] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mv/cmvwoshacf7agyudk6ccll5mnj4atnz4yywwbd34ert36lqnmp4x.py
2022-11-23T01:30:20.0979097Z [2022-11-23 01:25:28,011] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 283
2022-11-23T01:30:20.0979334Z [2022-11-23 01:25:28,014] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0979653Z [2022-11-23 01:25:28,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0979874Z [2022-11-23 01:25:28,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0980113Z [2022-11-23 01:25:28,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0980368Z [2022-11-23 01:25:28,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0980677Z [2022-11-23 01:25:28,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0981010Z [2022-11-23 01:25:28,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0981317Z [2022-11-23 01:25:28,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0981612Z [2022-11-23 01:25:28,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0981844Z [2022-11-23 01:25:28,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0982096Z [2022-11-23 01:25:28,021] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0982344Z [2022-11-23 01:25:28,030] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0982532Z [2022-11-23 01:25:28,030] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0982665Z  __compiled_fn_291 <eval_with_key>.2537 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0982741Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0982840Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0982975Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0982981Z 
2022-11-23T01:30:20.0983311Z [2022-11-23 01:25:28,030] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0983406Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0983495Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0983581Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0983674Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0983746Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0983835Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0983909Z              12 RETURN_VALUE
2022-11-23T01:30:20.0983914Z 
2022-11-23T01:30:20.0983974Z  
2022-11-23T01:30:20.0984297Z [2022-11-23 01:25:28,031] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0984402Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_291)
2022-11-23T01:30:20.0984491Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0984569Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0984645Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0984730Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0984816Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0984890Z              12 RETURN_VALUE
2022-11-23T01:30:20.0984895Z 
2022-11-23T01:30:20.0984952Z  
2022-11-23T01:30:20.0985134Z [2022-11-23 01:25:28,031] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0985201Z  - 
2022-11-23T01:30:20.0985306Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0985370Z             {
2022-11-23T01:30:20.0985511Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0985697Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0985818Z                 'obj_weakref': None
2022-11-23T01:30:20.0986041Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0986106Z             }
2022-11-23T01:30:20.0986156Z             
2022-11-23T01:30:20.0986223Z  - 
2022-11-23T01:30:20.0986347Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0986410Z             {
2022-11-23T01:30:20.0986548Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0986660Z                 'code': None,
2022-11-23T01:30:20.0986873Z                 'obj_weakref': <weakref at 0x7ff58f9cba10; to 'Tensor' at 0x7ff58f9de840>
2022-11-23T01:30:20.0987115Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.0987176Z             }
2022-11-23T01:30:20.0987237Z             
2022-11-23T01:30:20.0987305Z  - 
2022-11-23T01:30:20.0987426Z             local 'model' NN_MODULE
2022-11-23T01:30:20.0987491Z             {
2022-11-23T01:30:20.0987612Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.0987777Z                 'code': ['___check_obj_id(model, 140692652779376)'],
2022-11-23T01:30:20.0988027Z                 'obj_weakref': <weakref at 0x7ff58f9cba60; to 'Sequential' at 0x7ff58f976770>
2022-11-23T01:30:20.0988263Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.0988325Z             }
2022-11-23T01:30:20.0988388Z             
2022-11-23T01:30:20.0988455Z  - 
2022-11-23T01:30:20.0988575Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.0988625Z             {
2022-11-23T01:30:20.0988761Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.0988981Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.0989099Z                 'obj_weakref': None
2022-11-23T01:30:20.0989318Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.0989418Z             }
2022-11-23T01:30:20.0989479Z             
2022-11-23T01:30:20.0989534Z  - 
2022-11-23T01:30:20.0989679Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.0989742Z             {
2022-11-23T01:30:20.0989859Z                 'guard_types': None,
2022-11-23T01:30:20.0989965Z                 'code': None,
2022-11-23T01:30:20.0990080Z                 'obj_weakref': None
2022-11-23T01:30:20.0990198Z                 'guarded_class': None
2022-11-23T01:30:20.0990248Z             }
2022-11-23T01:30:20.0990308Z             
2022-11-23T01:30:20.0990375Z  - 
2022-11-23T01:30:20.0990520Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.0990581Z             {
2022-11-23T01:30:20.0990697Z                 'guard_types': None,
2022-11-23T01:30:20.0990788Z                 'code': None,
2022-11-23T01:30:20.0990904Z                 'obj_weakref': None
2022-11-23T01:30:20.0991022Z                 'guarded_class': None
2022-11-23T01:30:20.0991085Z             }
2022-11-23T01:30:20.0991146Z             
2022-11-23T01:30:20.0991408Z [2022-11-23 01:25:28,042] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 284
2022-11-23T01:30:20.0991778Z [2022-11-23 01:25:28,044] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bl/cblyyqp3t2faoxnem42odvvhmwnondlnsb2k4u2uzpcibf2v23zq.py
2022-11-23T01:30:20.0992047Z [2022-11-23 01:25:28,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 284
2022-11-23T01:30:20.0992272Z [2022-11-23 01:25:28,047] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.0992589Z [2022-11-23 01:25:28,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.0992808Z [2022-11-23 01:25:28,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.0993053Z [2022-11-23 01:25:28,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.0993323Z [2022-11-23 01:25:28,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.0993635Z [2022-11-23 01:25:28,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0994056Z [2022-11-23 01:25:28,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0994375Z [2022-11-23 01:25:28,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.0994623Z [2022-11-23 01:25:28,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.0994855Z [2022-11-23 01:25:28,057] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.0995147Z [2022-11-23 01:25:28,058] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.0995395Z [2022-11-23 01:25:28,070] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.0995584Z [2022-11-23 01:25:28,070] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.0995719Z  __compiled_fn_292 <eval_with_key>.2548 opcode, name, target, args, kwargs
2022-11-23T01:30:20.0995809Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.0995909Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.0996008Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.0996013Z 
2022-11-23T01:30:20.0996340Z [2022-11-23 01:25:28,071] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0996422Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.0996543Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0996629Z               4 BUILD_MAP                0
2022-11-23T01:30:20.0996724Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.0996813Z               8 DICT_MERGE               1
2022-11-23T01:30:20.0996903Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.0996979Z              12 RETURN_VALUE
2022-11-23T01:30:20.0996984Z 
2022-11-23T01:30:20.0997044Z  
2022-11-23T01:30:20.0997351Z [2022-11-23 01:25:28,071] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.0997462Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_292)
2022-11-23T01:30:20.0997552Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.0997641Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.0997721Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.0997810Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.0997900Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.0997961Z              12 RETURN_VALUE
2022-11-23T01:30:20.0997968Z 
2022-11-23T01:30:20.0998030Z  
2022-11-23T01:30:20.0998211Z [2022-11-23 01:25:28,072] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.0998283Z  - 
2022-11-23T01:30:20.0998403Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.0998467Z             {
2022-11-23T01:30:20.0998607Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.0998781Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.0998900Z                 'obj_weakref': None
2022-11-23T01:30:20.0999125Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.0999191Z             }
2022-11-23T01:30:20.0999254Z             
2022-11-23T01:30:20.0999323Z  - 
2022-11-23T01:30:20.0999451Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.0999502Z             {
2022-11-23T01:30:20.0999642Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.0999749Z                 'code': None,
2022-11-23T01:30:20.0999963Z                 'obj_weakref': <weakref at 0x7ff5a8376ca0; to 'Tensor' at 0x7ff5a8501120>
2022-11-23T01:30:20.1000212Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1000276Z             }
2022-11-23T01:30:20.1000340Z             
2022-11-23T01:30:20.1000397Z  - 
2022-11-23T01:30:20.1000513Z             local 'model' NN_MODULE
2022-11-23T01:30:20.1000575Z             {
2022-11-23T01:30:20.1000708Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1000874Z                 'code': ['___check_obj_id(model, 140692652776640)'],
2022-11-23T01:30:20.1001098Z                 'obj_weakref': <weakref at 0x7ff57ff144f0; to 'Sequential' at 0x7ff58f975cc0>
2022-11-23T01:30:20.1001335Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.1001400Z             }
2022-11-23T01:30:20.1001450Z             
2022-11-23T01:30:20.1001553Z  - 
2022-11-23T01:30:20.1001674Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1001736Z             {
2022-11-23T01:30:20.1001871Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1002088Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1002194Z                 'obj_weakref': None
2022-11-23T01:30:20.1002413Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1002473Z             }
2022-11-23T01:30:20.1002535Z             
2022-11-23T01:30:20.1002601Z  - 
2022-11-23T01:30:20.1002744Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.1002805Z             {
2022-11-23T01:30:20.1002911Z                 'guard_types': None,
2022-11-23T01:30:20.1003044Z                 'code': None,
2022-11-23T01:30:20.1003162Z                 'obj_weakref': None
2022-11-23T01:30:20.1003279Z                 'guarded_class': None
2022-11-23T01:30:20.1003344Z             }
2022-11-23T01:30:20.1003407Z             
2022-11-23T01:30:20.1003475Z  - 
2022-11-23T01:30:20.1003607Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.1003669Z             {
2022-11-23T01:30:20.1003787Z                 'guard_types': None,
2022-11-23T01:30:20.1003891Z                 'code': None,
2022-11-23T01:30:20.1004008Z                 'obj_weakref': None
2022-11-23T01:30:20.1004127Z                 'guarded_class': None
2022-11-23T01:30:20.1004191Z             }
2022-11-23T01:30:20.1004239Z             
2022-11-23T01:30:20.1004501Z [2022-11-23 01:25:28,083] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 285
2022-11-23T01:30:20.1004870Z [2022-11-23 01:25:28,086] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7h/c7hks2dlurfktw5q7cflahvqmnzbsboco2j2dkqyjyqfv5r6i34h.py
2022-11-23T01:30:20.1005139Z [2022-11-23 01:25:28,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 285
2022-11-23T01:30:20.1005377Z [2022-11-23 01:25:28,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1005688Z [2022-11-23 01:25:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1005906Z [2022-11-23 01:25:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1006144Z [2022-11-23 01:25:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:30:20.1006405Z [2022-11-23 01:25:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [NNModuleVariable(), TupleVariable()]
2022-11-23T01:30:20.1006700Z [2022-11-23 01:25:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1007041Z [2022-11-23 01:25:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1007352Z [2022-11-23 01:25:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1007598Z [2022-11-23 01:25:28,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1007831Z [2022-11-23 01:25:28,095] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1008080Z [2022-11-23 01:25:28,096] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1008324Z [2022-11-23 01:25:28,104] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1008513Z [2022-11-23 01:25:28,104] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1008677Z  __compiled_fn_293 <eval_with_key>.2559 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1008754Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1008853Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:30:20.1008950Z output, output, output, ((model_0,),), {}
2022-11-23T01:30:20.1008956Z 
2022-11-23T01:30:20.1009277Z [2022-11-23 01:25:28,104] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1009369Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1009457Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1009541Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1009631Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1009703Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1009815Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1009889Z              12 RETURN_VALUE
2022-11-23T01:30:20.1009894Z 
2022-11-23T01:30:20.1009954Z  
2022-11-23T01:30:20.1010276Z [2022-11-23 01:25:28,104] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1010383Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_293)
2022-11-23T01:30:20.1010471Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1010557Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1010621Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1010705Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1010792Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1010865Z              12 RETURN_VALUE
2022-11-23T01:30:20.1010869Z 
2022-11-23T01:30:20.1010928Z  
2022-11-23T01:30:20.1011108Z [2022-11-23 01:25:28,105] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1011177Z  - 
2022-11-23T01:30:20.1011283Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1011344Z             {
2022-11-23T01:30:20.1011486Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1011670Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1011788Z                 'obj_weakref': None
2022-11-23T01:30:20.1012011Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1012077Z             }
2022-11-23T01:30:20.1012127Z             
2022-11-23T01:30:20.1012194Z  - 
2022-11-23T01:30:20.1012317Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1012378Z             {
2022-11-23T01:30:20.1012516Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1012620Z                 'code': None,
2022-11-23T01:30:20.1012829Z                 'obj_weakref': <weakref at 0x7ff59c05d850; to 'Tensor' at 0x7ff58f9dd940>
2022-11-23T01:30:20.1013070Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1013131Z             }
2022-11-23T01:30:20.1013195Z             
2022-11-23T01:30:20.1013263Z  - 
2022-11-23T01:30:20.1013379Z             local 'model' NN_MODULE
2022-11-23T01:30:20.1013441Z             {
2022-11-23T01:30:20.1013573Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1013727Z                 'code': ['___check_obj_id(model, 140693087443392)'],
2022-11-23T01:30:20.1013944Z                 'obj_weakref': <weakref at 0x7ff5a807ab10; to 'Sequential' at 0x7ff5a97fd9c0>
2022-11-23T01:30:20.1014175Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.1014237Z             }
2022-11-23T01:30:20.1014298Z             
2022-11-23T01:30:20.1014365Z  - 
2022-11-23T01:30:20.1014485Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1014535Z             {
2022-11-23T01:30:20.1014672Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1014890Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1015036Z                 'obj_weakref': None
2022-11-23T01:30:20.1015258Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1015320Z             }
2022-11-23T01:30:20.1015381Z             
2022-11-23T01:30:20.1015436Z  - 
2022-11-23T01:30:20.1015580Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:30:20.1015641Z             {
2022-11-23T01:30:20.1015759Z                 'guard_types': None,
2022-11-23T01:30:20.1015862Z                 'code': None,
2022-11-23T01:30:20.1015979Z                 'obj_weakref': None
2022-11-23T01:30:20.1016097Z                 'guarded_class': None
2022-11-23T01:30:20.1016147Z             }
2022-11-23T01:30:20.1016207Z             
2022-11-23T01:30:20.1016274Z  - 
2022-11-23T01:30:20.1016559Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:30:20.1016625Z             {
2022-11-23T01:30:20.1016744Z                 'guard_types': None,
2022-11-23T01:30:20.1016841Z                 'code': None,
2022-11-23T01:30:20.1016958Z                 'obj_weakref': None
2022-11-23T01:30:20.1017076Z                 'guarded_class': None
2022-11-23T01:30:20.1017138Z             }
2022-11-23T01:30:20.1017200Z             
2022-11-23T01:30:20.1017459Z [2022-11-23 01:25:28,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 286
2022-11-23T01:30:20.1017818Z [2022-11-23 01:25:28,118] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfkzf4oj2w7tuke6zbndrd5tk4x435nhg5nnyh5skfdtl2ujnuxa.py
2022-11-23T01:30:20.1018082Z [2022-11-23 01:25:28,118] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 286
2022-11-23T01:30:20.1018088Z 
2022-11-23T01:30:20.1018168Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1018239Z import torch
2022-11-23T01:30:20.1018307Z import random
2022-11-23T01:30:20.1018422Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1018543Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1018548Z 
2022-11-23T01:30:20.1018624Z aten = torch.ops.aten
2022-11-23T01:30:20.1018755Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1018845Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1018850Z 
2022-11-23T01:30:20.1018854Z 
2022-11-23T01:30:20.1018929Z async_compile.wait(globals())
2022-11-23T01:30:20.1019000Z del async_compile
2022-11-23T01:30:20.1019004Z 
2022-11-23T01:30:20.1019074Z def call(args):
2022-11-23T01:30:20.1019155Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1019224Z     args.clear()
2022-11-23T01:30:20.1019448Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [0, 6], '')
2022-11-23T01:30:20.1019518Z     del arg0_1
2022-11-23T01:30:20.1019571Z     del arg1_1
2022-11-23T01:30:20.1019637Z     del arg2_1
2022-11-23T01:30:20.1019707Z     return (buf0, )
2022-11-23T01:30:20.1019711Z 
2022-11-23T01:30:20.1019715Z 
2022-11-23T01:30:20.1019792Z if __name__ == "__main__":
2022-11-23T01:30:20.1019903Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1020026Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1020228Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1020424Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1020614Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1020733Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1020738Z 
2022-11-23T01:30:20.1020743Z 
2022-11-23T01:30:20.1020834Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1020900Z import torch
2022-11-23T01:30:20.1020969Z import random
2022-11-23T01:30:20.1021082Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1021202Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1021207Z 
2022-11-23T01:30:20.1021330Z aten = torch.ops.aten
2022-11-23T01:30:20.1021451Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1021540Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1021546Z 
2022-11-23T01:30:20.1021550Z 
2022-11-23T01:30:20.1021637Z async_compile.wait(globals())
2022-11-23T01:30:20.1021708Z del async_compile
2022-11-23T01:30:20.1021712Z 
2022-11-23T01:30:20.1021781Z def call(args):
2022-11-23T01:30:20.1021856Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1021927Z     args.clear()
2022-11-23T01:30:20.1022152Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [0, 6], '')
2022-11-23T01:30:20.1022207Z     del arg0_1
2022-11-23T01:30:20.1022272Z     del arg1_1
2022-11-23T01:30:20.1022343Z     return (buf0, )
2022-11-23T01:30:20.1022347Z 
2022-11-23T01:30:20.1022386Z 
2022-11-23T01:30:20.1022462Z if __name__ == "__main__":
2022-11-23T01:30:20.1022575Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1022699Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1022900Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1023092Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1023204Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1023209Z 
2022-11-23T01:30:20.1023213Z 
2022-11-23T01:30:20.1023305Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1023373Z import torch
2022-11-23T01:30:20.1023437Z import random
2022-11-23T01:30:20.1023549Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1023665Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1023670Z 
2022-11-23T01:30:20.1023746Z aten = torch.ops.aten
2022-11-23T01:30:20.1023866Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1023954Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1023960Z 
2022-11-23T01:30:20.1023964Z 
2022-11-23T01:30:20.1024051Z async_compile.wait(globals())
2022-11-23T01:30:20.1024123Z del async_compile
2022-11-23T01:30:20.1024128Z 
2022-11-23T01:30:20.1024198Z def call(args):
2022-11-23T01:30:20.1024279Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1024348Z     args.clear()
2022-11-23T01:30:20.1024572Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [0, 6], '')
2022-11-23T01:30:20.1024626Z     del arg0_1
2022-11-23T01:30:20.1024691Z     del arg1_1
2022-11-23T01:30:20.1024755Z     del arg2_1
2022-11-23T01:30:20.1024824Z     return (buf0, )
2022-11-23T01:30:20.1024829Z 
2022-11-23T01:30:20.1024833Z 
2022-11-23T01:30:20.1024906Z if __name__ == "__main__":
2022-11-23T01:30:20.1025017Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1025138Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1025327Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1025525Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1025717Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1025835Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1025840Z 
2022-11-23T01:30:20.1025844Z 
2022-11-23T01:30:20.1025935Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1026002Z import torch
2022-11-23T01:30:20.1026070Z import random
2022-11-23T01:30:20.1026181Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1026286Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1026301Z 
2022-11-23T01:30:20.1026365Z aten = torch.ops.aten
2022-11-23T01:30:20.1026493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1026586Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1026591Z 
2022-11-23T01:30:20.1026595Z 
2022-11-23T01:30:20.1026680Z async_compile.wait(globals())
2022-11-23T01:30:20.1026750Z del async_compile
2022-11-23T01:30:20.1026783Z 
2022-11-23T01:30:20.1026853Z def call(args):
2022-11-23T01:30:20.1026926Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1026983Z     args.clear()
2022-11-23T01:30:20.1027203Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [0, 6], '')
2022-11-23T01:30:20.1027269Z     del arg0_1
2022-11-23T01:30:20.1027333Z     del arg1_1
2022-11-23T01:30:20.1027403Z     return (buf0, )
2022-11-23T01:30:20.1027408Z 
2022-11-23T01:30:20.1027412Z 
2022-11-23T01:30:20.1027484Z if __name__ == "__main__":
2022-11-23T01:30:20.1027594Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1027712Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1027901Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1028123Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1028235Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1028243Z 
2022-11-23T01:30:20.1028247Z 
2022-11-23T01:30:20.1028339Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1028406Z import torch
2022-11-23T01:30:20.1028475Z import random
2022-11-23T01:30:20.1028586Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1028703Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1028707Z 
2022-11-23T01:30:20.1028770Z aten = torch.ops.aten
2022-11-23T01:30:20.1028899Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1028987Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1028992Z 
2022-11-23T01:30:20.1028996Z 
2022-11-23T01:30:20.1029081Z async_compile.wait(globals())
2022-11-23T01:30:20.1029151Z del async_compile
2022-11-23T01:30:20.1029156Z 
2022-11-23T01:30:20.1029229Z def call(args):
2022-11-23T01:30:20.1029312Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1029369Z     args.clear()
2022-11-23T01:30:20.1029587Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'swish', [], '')
2022-11-23T01:30:20.1029656Z     del arg0_1
2022-11-23T01:30:20.1029723Z     del arg1_1
2022-11-23T01:30:20.1029788Z     del arg2_1
2022-11-23T01:30:20.1029858Z     return (buf0, )
2022-11-23T01:30:20.1029863Z 
2022-11-23T01:30:20.1029867Z 
2022-11-23T01:30:20.1029941Z if __name__ == "__main__":
2022-11-23T01:30:20.1030053Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1030160Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1030359Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1030554Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1030759Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1030882Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1030887Z 
2022-11-23T01:30:20.1030891Z 
2022-11-23T01:30:20.1030986Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1031055Z import torch
2022-11-23T01:30:20.1031123Z import random
2022-11-23T01:30:20.1031223Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1031340Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1031344Z 
2022-11-23T01:30:20.1031424Z aten = torch.ops.aten
2022-11-23T01:30:20.1031556Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1031645Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1031650Z 
2022-11-23T01:30:20.1031654Z 
2022-11-23T01:30:20.1031740Z async_compile.wait(globals())
2022-11-23T01:30:20.1031817Z del async_compile
2022-11-23T01:30:20.1031821Z 
2022-11-23T01:30:20.1031894Z def call(args):
2022-11-23T01:30:20.1031956Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1032030Z     args.clear()
2022-11-23T01:30:20.1032247Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'swish', [], '')
2022-11-23T01:30:20.1032315Z     del arg0_1
2022-11-23T01:30:20.1032410Z     del arg1_1
2022-11-23T01:30:20.1032483Z     return (buf0, )
2022-11-23T01:30:20.1032488Z 
2022-11-23T01:30:20.1032492Z 
2022-11-23T01:30:20.1032567Z if __name__ == "__main__":
2022-11-23T01:30:20.1032668Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1032787Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1032988Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1033194Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1033311Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1033316Z 
2022-11-23T01:30:20.1033320Z 
2022-11-23T01:30:20.1033414Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1033513Z import torch
2022-11-23T01:30:20.1033583Z import random
2022-11-23T01:30:20.1033684Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1033872Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1033878Z 
2022-11-23T01:30:20.1033956Z aten = torch.ops.aten
2022-11-23T01:30:20.1034088Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1034179Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1034185Z 
2022-11-23T01:30:20.1034189Z 
2022-11-23T01:30:20.1034277Z async_compile.wait(globals())
2022-11-23T01:30:20.1034349Z del async_compile
2022-11-23T01:30:20.1034354Z 
2022-11-23T01:30:20.1034422Z def call(args):
2022-11-23T01:30:20.1034490Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1034561Z     args.clear()
2022-11-23T01:30:20.1034781Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'swish', [], '')
2022-11-23T01:30:20.1034849Z     del arg0_1
2022-11-23T01:30:20.1034917Z     del arg1_1
2022-11-23T01:30:20.1034986Z     del arg2_1
2022-11-23T01:30:20.1035057Z     return (buf0, )
2022-11-23T01:30:20.1035062Z 
2022-11-23T01:30:20.1035066Z 
2022-11-23T01:30:20.1035127Z if __name__ == "__main__":
2022-11-23T01:30:20.1035238Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1035360Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1035557Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1035751Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1035945Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1036065Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1036070Z 
2022-11-23T01:30:20.1036074Z 
2022-11-23T01:30:20.1036166Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1036231Z import torch
2022-11-23T01:30:20.1036287Z import random
2022-11-23T01:30:20.1036399Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1036518Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1036523Z 
2022-11-23T01:30:20.1036599Z aten = torch.ops.aten
2022-11-23T01:30:20.1036731Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1036819Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1036824Z 
2022-11-23T01:30:20.1036828Z 
2022-11-23T01:30:20.1036912Z async_compile.wait(globals())
2022-11-23T01:30:20.1036971Z del async_compile
2022-11-23T01:30:20.1036985Z 
2022-11-23T01:30:20.1037042Z def call(args):
2022-11-23T01:30:20.1037114Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1037184Z     args.clear()
2022-11-23T01:30:20.1037394Z     buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'swish', [], '')
2022-11-23T01:30:20.1037461Z     del arg0_1
2022-11-23T01:30:20.1037529Z     del arg1_1
2022-11-23T01:30:20.1037587Z     return (buf0, )
2022-11-23T01:30:20.1037603Z 
2022-11-23T01:30:20.1037607Z 
2022-11-23T01:30:20.1037672Z if __name__ == "__main__":
2022-11-23T01:30:20.1037781Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1037898Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1038138Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1038335Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:30:20.1038446Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1038451Z 
2022-11-23T01:30:20.1038516Z ok (1.409s)
2022-11-23T01:30:20.1038828Z   test_linspace_cpu (__main__.CpuTests) ... [2022-11-23 01:25:28,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1039134Z [2022-11-23 01:25:28,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1039349Z [2022-11-23 01:25:28,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1039653Z [2022-11-23 01:25:28,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1039931Z [2022-11-23 01:25:28,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1040248Z [2022-11-23 01:25:28,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1040590Z [2022-11-23 01:25:28,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1040911Z [2022-11-23 01:25:28,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1041283Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908> 
2022-11-23T01:30:20.1041380Z  909           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1041479Z               2 LOAD_ATTR                1 (linspace)
2022-11-23T01:30:20.1041557Z               4 LOAD_CONST               1 (0.125)
2022-11-23T01:30:20.1041643Z               6 LOAD_CONST               2 (0.875)
2022-11-23T01:30:20.1041730Z               8 LOAD_CONST               3 (7)
2022-11-23T01:30:20.1041820Z              10 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1041910Z              12 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.1042055Z              14 LOAD_CONST               4 (('device',))
2022-11-23T01:30:20.1042144Z              16 CALL_FUNCTION_KW         4
2022-11-23T01:30:20.1042220Z              18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1042292Z              20 BINARY_ADD
2022-11-23T01:30:20.1042367Z              22 RETURN_VALUE
2022-11-23T01:30:20.1042429Z  
2022-11-23T01:30:20.1042438Z 
2022-11-23T01:30:20.1042749Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:909
2022-11-23T01:30:20.1042968Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1043341Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linspace [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1043673Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.125 [TorchVariable(<built-in method linspace of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1044038Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.875 [TorchVariable(<built-in method linspace of type object at 0x7ff5d7c59c60>), ConstantVariable(float)]
2022-11-23T01:30:20.1044435Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(<built-in method linspace of type object at 0x7ff5d7c59c60>), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:30:20.1044909Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method linspace of type object at 0x7ff5d7c59c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:30:20.1045386Z [2022-11-23 01:25:28,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method linspace of type object at 0x7ff5d7c59c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.1045881Z [2022-11-23 01:25:28,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method linspace of type object at 0x7ff5d7c59c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:30:20.1046432Z [2022-11-23 01:25:28,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<built-in method linspace of type object at 0x7ff5d7c59c60>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.1046672Z [2022-11-23 01:25:28,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.1046946Z [2022-11-23 01:25:28,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1047194Z [2022-11-23 01:25:28,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1047571Z [2022-11-23 01:25:28,128] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19b050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 908>
2022-11-23T01:30:20.1047813Z [2022-11-23 01:25:28,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1048046Z [2022-11-23 01:25:28,128] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1048299Z [2022-11-23 01:25:28,129] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1048545Z [2022-11-23 01:25:28,133] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1048720Z [2022-11-23 01:25:28,133] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1048850Z  __compiled_fn_294 <eval_with_key>.2565 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1048940Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1049233Z call_function, linspace, <built-in method linspace of type object at 0x7ff5d7c59c60>, (0.125, 0.875, 7), {'device': device(type='cpu')}
2022-11-23T01:30:20.1049415Z call_function, add, <built-in function add>, (linspace, ex_0_), {}
2022-11-23T01:30:20.1049511Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.1049516Z 
2022-11-23T01:30:20.1049836Z [2022-11-23 01:25:28,134] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1049927Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1050006Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1050091Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1050183Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1050267Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1050353Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1050426Z              12 RETURN_VALUE
2022-11-23T01:30:20.1050431Z 
2022-11-23T01:30:20.1050491Z  
2022-11-23T01:30:20.1050812Z [2022-11-23 01:25:28,134] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1050911Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_294)
2022-11-23T01:30:20.1050997Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1051115Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1051193Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1051282Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1051368Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1051443Z              12 RETURN_VALUE
2022-11-23T01:30:20.1051448Z 
2022-11-23T01:30:20.1051495Z  
2022-11-23T01:30:20.1051674Z [2022-11-23 01:25:28,134] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1051741Z  - 
2022-11-23T01:30:20.1051858Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1051921Z             {
2022-11-23T01:30:20.1052058Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1052240Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1052375Z                 'obj_weakref': None
2022-11-23T01:30:20.1052596Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1052661Z             }
2022-11-23T01:30:20.1052723Z             
2022-11-23T01:30:20.1052790Z  - 
2022-11-23T01:30:20.1052911Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:20.1052973Z             {
2022-11-23T01:30:20.1053099Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.1053266Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:20.1053477Z                 'obj_weakref': <weakref at 0x7ff58f9ebba0; to 'Tensor' at 0x7ff59c0ee0c0>
2022-11-23T01:30:20.1053728Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1053788Z             }
2022-11-23T01:30:20.1053851Z             
2022-11-23T01:30:20.1053919Z  - 
2022-11-23T01:30:20.1054030Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1054094Z             {
2022-11-23T01:30:20.1054236Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1054343Z                 'code': None,
2022-11-23T01:30:20.1054558Z                 'obj_weakref': <weakref at 0x7ff58f9ebba0; to 'Tensor' at 0x7ff59c0ee0c0>
2022-11-23T01:30:20.1054805Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1054866Z             }
2022-11-23T01:30:20.1054926Z             
2022-11-23T01:30:20.1054982Z  - 
2022-11-23T01:30:20.1055110Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1055173Z             {
2022-11-23T01:30:20.1055305Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1055471Z                 'code': ['___check_obj_id(model, 140693067549568)'],
2022-11-23T01:30:20.1055586Z                 'obj_weakref': None
2022-11-23T01:30:20.1055818Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1055874Z             }
2022-11-23T01:30:20.1055934Z             
2022-11-23T01:30:20.1056002Z  - 
2022-11-23T01:30:20.1056121Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1056184Z             {
2022-11-23T01:30:20.1056318Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1056630Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1056749Z                 'obj_weakref': None
2022-11-23T01:30:20.1056964Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1057027Z             }
2022-11-23T01:30:20.1057090Z             
2022-11-23T01:30:20.1057157Z  - 
2022-11-23T01:30:20.1057290Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1057340Z             {
2022-11-23T01:30:20.1057458Z                 'guard_types': None,
2022-11-23T01:30:20.1057562Z                 'code': None,
2022-11-23T01:30:20.1057680Z                 'obj_weakref': None
2022-11-23T01:30:20.1057799Z                 'guarded_class': None
2022-11-23T01:30:20.1057861Z             }
2022-11-23T01:30:20.1057925Z             
2022-11-23T01:30:20.1058221Z [2022-11-23 01:25:28,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 287
2022-11-23T01:30:20.1058588Z [2022-11-23 01:25:29,560] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bb/cbbme4qoyr2iobd2xunmjorfa7jl7e7ileu2edhyifosjkmsm3p6.py
2022-11-23T01:30:20.1058854Z [2022-11-23 01:25:29,560] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 287
2022-11-23T01:30:20.1058859Z 
2022-11-23T01:30:20.1058952Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1059021Z import torch
2022-11-23T01:30:20.1059092Z import random
2022-11-23T01:30:20.1059206Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1059325Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1059365Z 
2022-11-23T01:30:20.1059429Z aten = torch.ops.aten
2022-11-23T01:30:20.1059562Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1059654Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1059659Z 
2022-11-23T01:30:20.1059665Z 
2022-11-23T01:30:20.1059798Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1060004Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1060123Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1060223Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1060283Z {
2022-11-23T01:30:20.1060368Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1060429Z     {
2022-11-23T01:30:20.1060504Z         #pragma omp for 
2022-11-23T01:30:20.1060585Z         for(long i0=0; i0<7; i0+=1)
2022-11-23T01:30:20.1060647Z         {
2022-11-23T01:30:20.1060709Z             {
2022-11-23T01:30:20.1060771Z                 {
2022-11-23T01:30:20.1060853Z                     auto tmp4 = in_ptr0[i0];
2022-11-23T01:30:20.1060959Z                     auto tmp0 = static_cast<float>(0.125);
2022-11-23T01:30:20.1061062Z                     auto tmp1 = static_cast<float>(i0);
2022-11-23T01:30:20.1061156Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.1061244Z                     auto tmp3 = tmp2 + tmp0;
2022-11-23T01:30:20.1061329Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:20.1061410Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:30:20.1061463Z                 }
2022-11-23T01:30:20.1061525Z             }
2022-11-23T01:30:20.1061585Z         }
2022-11-23T01:30:20.1061647Z     }
2022-11-23T01:30:20.1061706Z }
2022-11-23T01:30:20.1061783Z ''')
2022-11-23T01:30:20.1061788Z 
2022-11-23T01:30:20.1061792Z 
2022-11-23T01:30:20.1061880Z async_compile.wait(globals())
2022-11-23T01:30:20.1061939Z del async_compile
2022-11-23T01:30:20.1061944Z 
2022-11-23T01:30:20.1062012Z def call(args):
2022-11-23T01:30:20.1062080Z     arg0_1, = args
2022-11-23T01:30:20.1062149Z     args.clear()
2022-11-23T01:30:20.1062344Z     buf0 = empty_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1062480Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1062546Z     del arg0_1
2022-11-23T01:30:20.1062603Z     return (buf0, )
2022-11-23T01:30:20.1062607Z 
2022-11-23T01:30:20.1062621Z 
2022-11-23T01:30:20.1062683Z if __name__ == "__main__":
2022-11-23T01:30:20.1062795Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1062915Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1063110Z     arg0_1 = rand_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1063216Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1063220Z 
2022-11-23T01:30:20.1063284Z ok (1.442s)
2022-11-23T01:30:20.1063618Z   test_list_clearing_cpu (__main__.CpuTests) ... [2022-11-23 01:25:29,573] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:30:20.1064008Z [2022-11-23 01:25:31,017] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nl/cnlvwwhprqgo2tyqs5vuvnnjxdxedh67oer3ns3zis76ngmrvxxv.py
2022-11-23T01:30:20.1064273Z [2022-11-23 01:25:31,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:30:20.1064278Z 
2022-11-23T01:30:20.1064368Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1064437Z import torch
2022-11-23T01:30:20.1064506Z import random
2022-11-23T01:30:20.1064617Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1064734Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1064739Z 
2022-11-23T01:30:20.1064814Z aten = torch.ops.aten
2022-11-23T01:30:20.1064934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1065024Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1065029Z 
2022-11-23T01:30:20.1065061Z 
2022-11-23T01:30:20.1065193Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1065400Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1065519Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1065622Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1065718Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1065779Z {
2022-11-23T01:30:20.1065863Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1065924Z     {
2022-11-23T01:30:20.1066000Z         #pragma omp for 
2022-11-23T01:30:20.1066080Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:20.1066142Z         {
2022-11-23T01:30:20.1066304Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.1066432Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.1066504Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1066596Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.1066656Z         }
2022-11-23T01:30:20.1066748Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.1066833Z         for(long i0=24; i0<25; i0+=1)
2022-11-23T01:30:20.1066893Z         {
2022-11-23T01:30:20.1066974Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1067041Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.1067119Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1067197Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.1067257Z         }
2022-11-23T01:30:20.1067317Z     }
2022-11-23T01:30:20.1067376Z }
2022-11-23T01:30:20.1067455Z ''')
2022-11-23T01:30:20.1067460Z 
2022-11-23T01:30:20.1067464Z 
2022-11-23T01:30:20.1067541Z async_compile.wait(globals())
2022-11-23T01:30:20.1067614Z del async_compile
2022-11-23T01:30:20.1067619Z 
2022-11-23T01:30:20.1067688Z def call(args):
2022-11-23T01:30:20.1067758Z     x_1, y_1 = args
2022-11-23T01:30:20.1067830Z     args.clear()
2022-11-23T01:30:20.1068026Z     buf0 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1068185Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1068251Z     del x_1
2022-11-23T01:30:20.1068302Z     del y_1
2022-11-23T01:30:20.1068496Z     buf1 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1068586Z     aten.mm.out(buf0, buf0, out=buf1)
2022-11-23T01:30:20.1068658Z     return (buf1, )
2022-11-23T01:30:20.1068663Z 
2022-11-23T01:30:20.1068667Z 
2022-11-23T01:30:20.1068743Z if __name__ == "__main__":
2022-11-23T01:30:20.1068857Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1068978Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1069153Z     x_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1069341Z     y_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1069452Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T01:30:20.1069456Z 
2022-11-23T01:30:20.1069523Z ok (1.456s)
2022-11-23T01:30:20.1069853Z   test_log2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:31,026] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1070176Z [2022-11-23 01:25:31,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1070394Z [2022-11-23 01:25:31,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1070646Z [2022-11-23 01:25:31,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1070923Z [2022-11-23 01:25:31,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1071230Z [2022-11-23 01:25:31,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1071609Z [2022-11-23 01:25:31,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1071930Z [2022-11-23 01:25:31,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1072301Z [2022-11-23 01:25:31,027] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f68c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691> 
2022-11-23T01:30:20.1072400Z  2692           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1072494Z                2 LOAD_METHOD              1 (log2)
2022-11-23T01:30:20.1072585Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1072674Z                6 CALL_METHOD              1
2022-11-23T01:30:20.1072768Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1072849Z               10 LOAD_METHOD              1 (log2)
2022-11-23T01:30:20.1072938Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1073032Z               14 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1073106Z               16 BINARY_ADD
2022-11-23T01:30:20.1073195Z               18 CALL_METHOD              1
2022-11-23T01:30:20.1073283Z               20 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1073366Z               22 BINARY_SUBTRACT
2022-11-23T01:30:20.1073440Z               24 BUILD_TUPLE              2
2022-11-23T01:30:20.1073518Z               26 RETURN_VALUE
2022-11-23T01:30:20.1073582Z  
2022-11-23T01:30:20.1073587Z 
2022-11-23T01:30:20.1073972Z [2022-11-23 01:25:31,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2692
2022-11-23T01:30:20.1074194Z [2022-11-23 01:25:31,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1074565Z [2022-11-23 01:25:31,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1074887Z [2022-11-23 01:25:31,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log2 of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1075243Z [2022-11-23 01:25:31,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log2 of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1075493Z [2022-11-23 01:25:31,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.1075886Z [2022-11-23 01:25:31,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1076220Z [2022-11-23 01:25:31,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1076629Z [2022-11-23 01:25:31,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1077049Z [2022-11-23 01:25:31,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1077429Z [2022-11-23 01:25:31,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1077692Z [2022-11-23 01:25:31,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1078036Z [2022-11-23 01:25:31,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1078305Z [2022-11-23 01:25:31,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1078550Z [2022-11-23 01:25:31,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1078925Z [2022-11-23 01:25:31,034] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f68c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2691>
2022-11-23T01:30:20.1079174Z [2022-11-23 01:25:31,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1079403Z [2022-11-23 01:25:31,034] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1079643Z [2022-11-23 01:25:31,035] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1079896Z [2022-11-23 01:25:31,039] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1080085Z [2022-11-23 01:25:31,040] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1080218Z  __compiled_fn_295 <eval_with_key>.2572 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1080307Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1080531Z call_function, log2, <built-in method log2 of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.1080702Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.1080920Z call_function, log2_1, <built-in method log2 of type object at 0x7ff5d7c59c60>, (add,), {}
2022-11-23T01:30:20.1081081Z call_function, sub, <built-in function sub>, (log2_1, 2), {}
2022-11-23T01:30:20.1081182Z output, output, output, ((log2, sub),), {}
2022-11-23T01:30:20.1081187Z 
2022-11-23T01:30:20.1081515Z [2022-11-23 01:25:31,040] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1081609Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1081699Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1081783Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1081873Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1081955Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1082031Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1082105Z              12 RETURN_VALUE
2022-11-23T01:30:20.1082110Z 
2022-11-23T01:30:20.1082170Z  
2022-11-23T01:30:20.1082487Z [2022-11-23 01:25:31,040] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1082592Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_295)
2022-11-23T01:30:20.1082683Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1082771Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1082887Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1082963Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1083064Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1083162Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1083249Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1083324Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1083422Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1083508Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1083571Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1083657Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1083730Z              26 RETURN_VALUE
2022-11-23T01:30:20.1083736Z 
2022-11-23T01:30:20.1083797Z  
2022-11-23T01:30:20.1084007Z [2022-11-23 01:25:31,041] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1084078Z  - 
2022-11-23T01:30:20.1084195Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1084248Z             {
2022-11-23T01:30:20.1084388Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1084575Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1084695Z                 'obj_weakref': None
2022-11-23T01:30:20.1084917Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1084979Z             }
2022-11-23T01:30:20.1085043Z             
2022-11-23T01:30:20.1085100Z  - 
2022-11-23T01:30:20.1085221Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1085283Z             {
2022-11-23T01:30:20.1085424Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1085528Z                 'code': None,
2022-11-23T01:30:20.1085737Z                 'obj_weakref': <weakref at 0x7ff6383f6480; to 'Tensor' at 0x7ff57ff53ab0>
2022-11-23T01:30:20.1085995Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1086058Z             }
2022-11-23T01:30:20.1086108Z             
2022-11-23T01:30:20.1086175Z  - 
2022-11-23T01:30:20.1086304Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1086367Z             {
2022-11-23T01:30:20.1086499Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1086667Z                 'code': ['___check_obj_id(model, 140692658632256)'],
2022-11-23T01:30:20.1086773Z                 'obj_weakref': None
2022-11-23T01:30:20.1087001Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1087062Z             }
2022-11-23T01:30:20.1087124Z             
2022-11-23T01:30:20.1087191Z  - 
2022-11-23T01:30:20.1087310Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1087373Z             {
2022-11-23T01:30:20.1087497Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1087712Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1087830Z                 'obj_weakref': None
2022-11-23T01:30:20.1088049Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1088113Z             }
2022-11-23T01:30:20.1088174Z             
2022-11-23T01:30:20.1088240Z  - 
2022-11-23T01:30:20.1088359Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1088420Z             {
2022-11-23T01:30:20.1088538Z                 'guard_types': None,
2022-11-23T01:30:20.1088643Z                 'code': None,
2022-11-23T01:30:20.1088757Z                 'obj_weakref': None
2022-11-23T01:30:20.1088876Z                 'guarded_class': None
2022-11-23T01:30:20.1088937Z             }
2022-11-23T01:30:20.1088986Z             
2022-11-23T01:30:20.1089243Z [2022-11-23 01:25:31,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 288
2022-11-23T01:30:20.1089647Z [2022-11-23 01:25:32,461] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kp/ckpuyw7unqobpmslug5f4u3hgkgw2hcpppg6ow7fsmelxlu76ybv.py
2022-11-23T01:30:20.1089912Z [2022-11-23 01:25:32,462] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 288
2022-11-23T01:30:20.1089918Z 
2022-11-23T01:30:20.1090009Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1090075Z import torch
2022-11-23T01:30:20.1090142Z import random
2022-11-23T01:30:20.1090254Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1090361Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1090366Z 
2022-11-23T01:30:20.1090438Z aten = torch.ops.aten
2022-11-23T01:30:20.1090569Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1090660Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1090692Z 
2022-11-23T01:30:20.1090697Z 
2022-11-23T01:30:20.1090828Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1091035Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1091152Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1091250Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1091334Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.1091395Z {
2022-11-23T01:30:20.1091492Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1091552Z     {
2022-11-23T01:30:20.1091628Z         #pragma omp for 
2022-11-23T01:30:20.1091709Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1091770Z         {
2022-11-23T01:30:20.1091896Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.1091979Z             auto tmp1 = tmp0.log();
2022-11-23T01:30:20.1092119Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1.4426950408889634));
2022-11-23T01:30:20.1092206Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:30:20.1092337Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.1092420Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:20.1092501Z             auto tmp6 = tmp5.log();
2022-11-23T01:30:20.1092580Z             auto tmp7 = tmp6 * tmp2;
2022-11-23T01:30:20.1092700Z             auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.1092821Z             auto tmp9 = tmp7 - tmp8;
2022-11-23T01:30:20.1092911Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.1092999Z             tmp9.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.1093060Z         }
2022-11-23T01:30:20.1093153Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.1093234Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.1093282Z         {
2022-11-23T01:30:20.1093363Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1093453Z             auto tmp1 = std::log(tmp0);
2022-11-23T01:30:20.1093562Z             auto tmp2 = static_cast<float>(1.4426950408889634);
2022-11-23T01:30:20.1093642Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:30:20.1093744Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:30:20.1093825Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:20.1093901Z             auto tmp6 = std::log(tmp5);
2022-11-23T01:30:20.1093980Z             auto tmp7 = tmp6 * tmp2;
2022-11-23T01:30:20.1094075Z             auto tmp8 = static_cast<float>(2);
2022-11-23T01:30:20.1094194Z             auto tmp9 = tmp7 - tmp8;
2022-11-23T01:30:20.1094273Z             out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.1094349Z             out_ptr1[i0] = tmp9;
2022-11-23T01:30:20.1094409Z         }
2022-11-23T01:30:20.1094459Z     }
2022-11-23T01:30:20.1094517Z }
2022-11-23T01:30:20.1094592Z ''')
2022-11-23T01:30:20.1094597Z 
2022-11-23T01:30:20.1094601Z 
2022-11-23T01:30:20.1094689Z async_compile.wait(globals())
2022-11-23T01:30:20.1094762Z del async_compile
2022-11-23T01:30:20.1094767Z 
2022-11-23T01:30:20.1094835Z def call(args):
2022-11-23T01:30:20.1094902Z     arg0_1, = args
2022-11-23T01:30:20.1094961Z     args.clear()
2022-11-23T01:30:20.1095179Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1095372Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1095534Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1095601Z     del arg0_1
2022-11-23T01:30:20.1095678Z     return (buf0, buf1, )
2022-11-23T01:30:20.1095684Z 
2022-11-23T01:30:20.1095688Z 
2022-11-23T01:30:20.1095763Z if __name__ == "__main__":
2022-11-23T01:30:20.1095879Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1095989Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1096180Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1096316Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1096320Z 
2022-11-23T01:30:20.1096386Z ok (1.445s)
2022-11-23T01:30:20.1096836Z   test_log_fp64_cpu (__main__.CpuTests) ... [2022-11-23 01:25:32,468] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1097154Z [2022-11-23 01:25:32,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1097371Z [2022-11-23 01:25:32,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1097622Z [2022-11-23 01:25:32,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1097885Z [2022-11-23 01:25:32,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1098203Z [2022-11-23 01:25:32,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1098557Z [2022-11-23 01:25:32,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1098876Z [2022-11-23 01:25:32,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1099249Z [2022-11-23 01:25:32,469] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6b80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709> 
2022-11-23T01:30:20.1099344Z  2710           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1099435Z                2 LOAD_METHOD              1 (log)
2022-11-23T01:30:20.1099529Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1099617Z                6 CALL_METHOD              1
2022-11-23T01:30:20.1099699Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1099792Z               10 LOAD_METHOD              2 (log2)
2022-11-23T01:30:20.1099879Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1099966Z               14 CALL_METHOD              1
2022-11-23T01:30:20.1100054Z               16 BUILD_TUPLE              2
2022-11-23T01:30:20.1100130Z               18 RETURN_VALUE
2022-11-23T01:30:20.1100190Z  
2022-11-23T01:30:20.1100195Z 
2022-11-23T01:30:20.1100507Z [2022-11-23 01:25:32,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2710
2022-11-23T01:30:20.1100713Z [2022-11-23 01:25:32,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1101074Z [2022-11-23 01:25:32,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1101389Z [2022-11-23 01:25:32,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1101786Z [2022-11-23 01:25:32,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1102033Z [2022-11-23 01:25:32,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.1102427Z [2022-11-23 01:25:32,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1102770Z [2022-11-23 01:25:32,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1103155Z [2022-11-23 01:25:32,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1103461Z [2022-11-23 01:25:32,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1103707Z [2022-11-23 01:25:32,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1104086Z [2022-11-23 01:25:32,474] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6b80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2709>
2022-11-23T01:30:20.1104330Z [2022-11-23 01:25:32,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1104549Z [2022-11-23 01:25:32,474] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1104802Z [2022-11-23 01:25:32,476] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1105055Z [2022-11-23 01:25:32,479] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1105245Z [2022-11-23 01:25:32,479] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1105377Z  __compiled_fn_296 <eval_with_key>.2578 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1105465Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1105686Z call_function, log, <built-in method log of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.1105908Z call_function, log2, <built-in method log2 of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.1105996Z output, output, output, ((log, log2),), {}
2022-11-23T01:30:20.1106001Z 
2022-11-23T01:30:20.1106324Z [2022-11-23 01:25:32,480] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1106418Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1106508Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1106594Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1106686Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1106769Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1106856Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1106919Z              12 RETURN_VALUE
2022-11-23T01:30:20.1106925Z 
2022-11-23T01:30:20.1106983Z  
2022-11-23T01:30:20.1107304Z [2022-11-23 01:25:32,480] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1107411Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_296)
2022-11-23T01:30:20.1107497Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1107585Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1107660Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1107736Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1107836Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1107970Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1108058Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1108134Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1108234Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1108319Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1108392Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1108466Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1108539Z              26 RETURN_VALUE
2022-11-23T01:30:20.1108544Z 
2022-11-23T01:30:20.1108604Z  
2022-11-23T01:30:20.1108788Z [2022-11-23 01:25:32,481] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1108856Z  - 
2022-11-23T01:30:20.1108972Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1109034Z             {
2022-11-23T01:30:20.1109192Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1109375Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1109494Z                 'obj_weakref': None
2022-11-23T01:30:20.1109721Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1109785Z             }
2022-11-23T01:30:20.1109846Z             
2022-11-23T01:30:20.1109913Z  - 
2022-11-23T01:30:20.1110025Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1110089Z             {
2022-11-23T01:30:20.1110232Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1110340Z                 'code': None,
2022-11-23T01:30:20.1110555Z                 'obj_weakref': <weakref at 0x7ff59c0c49a0; to 'Tensor' at 0x7ff5a85004f0>
2022-11-23T01:30:20.1110810Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1110876Z             }
2022-11-23T01:30:20.1110927Z             
2022-11-23T01:30:20.1110997Z  - 
2022-11-23T01:30:20.1111127Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1111192Z             {
2022-11-23T01:30:20.1111327Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1111495Z                 'code': ['___check_obj_id(model, 140693062692880)'],
2022-11-23T01:30:20.1111614Z                 'obj_weakref': None
2022-11-23T01:30:20.1111830Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1111894Z             }
2022-11-23T01:30:20.1111957Z             
2022-11-23T01:30:20.1112027Z  - 
2022-11-23T01:30:20.1112150Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1112214Z             {
2022-11-23T01:30:20.1112348Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1112548Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1112668Z                 'obj_weakref': None
2022-11-23T01:30:20.1112888Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1112958Z             }
2022-11-23T01:30:20.1113022Z             
2022-11-23T01:30:20.1113091Z  - 
2022-11-23T01:30:20.1113224Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1113274Z             {
2022-11-23T01:30:20.1113395Z                 'guard_types': None,
2022-11-23T01:30:20.1113504Z                 'code': None,
2022-11-23T01:30:20.1113622Z                 'obj_weakref': None
2022-11-23T01:30:20.1113743Z                 'guarded_class': None
2022-11-23T01:30:20.1113873Z             }
2022-11-23T01:30:20.1113924Z             
2022-11-23T01:30:20.1114184Z [2022-11-23 01:25:32,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 289
2022-11-23T01:30:20.1114548Z [2022-11-23 01:25:33,915] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gm/cgm3z2wjzjjanheutm65vldhvfuzfqkukcs2zdy426s6dl3hq3bm.py
2022-11-23T01:30:20.1114813Z [2022-11-23 01:25:33,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 289
2022-11-23T01:30:20.1114852Z 
2022-11-23T01:30:20.1114950Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1115020Z import torch
2022-11-23T01:30:20.1115092Z import random
2022-11-23T01:30:20.1115209Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1115317Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1115335Z 
2022-11-23T01:30:20.1115400Z aten = torch.ops.aten
2022-11-23T01:30:20.1115534Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1115625Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1115630Z 
2022-11-23T01:30:20.1115635Z 
2022-11-23T01:30:20.1115768Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1115976Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1116128Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.1116229Z                        double* __restrict__ out_ptr0,
2022-11-23T01:30:20.1116329Z                        double* __restrict__ out_ptr1)
2022-11-23T01:30:20.1116378Z {
2022-11-23T01:30:20.1116475Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1116538Z     {
2022-11-23T01:30:20.1116614Z         #pragma omp for 
2022-11-23T01:30:20.1116699Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:20.1116762Z         {
2022-11-23T01:30:20.1116814Z             {
2022-11-23T01:30:20.1116879Z                 {
2022-11-23T01:30:20.1116974Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1117074Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:30:20.1117190Z                     auto tmp2 = static_cast<double>(1.4426950408889634);
2022-11-23T01:30:20.1117283Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:30:20.1117368Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.1117442Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:30:20.1117509Z                 }
2022-11-23T01:30:20.1117571Z             }
2022-11-23T01:30:20.1117634Z         }
2022-11-23T01:30:20.1117694Z     }
2022-11-23T01:30:20.1117752Z }
2022-11-23T01:30:20.1117828Z ''')
2022-11-23T01:30:20.1117833Z 
2022-11-23T01:30:20.1117837Z 
2022-11-23T01:30:20.1117913Z async_compile.wait(globals())
2022-11-23T01:30:20.1117983Z del async_compile
2022-11-23T01:30:20.1117987Z 
2022-11-23T01:30:20.1118054Z def call(args):
2022-11-23T01:30:20.1118124Z     arg0_1, = args
2022-11-23T01:30:20.1118193Z     args.clear()
2022-11-23T01:30:20.1118389Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.1118581Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.1118743Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1118799Z     del arg0_1
2022-11-23T01:30:20.1118877Z     return (buf0, buf1, )
2022-11-23T01:30:20.1118883Z 
2022-11-23T01:30:20.1118887Z 
2022-11-23T01:30:20.1118963Z if __name__ == "__main__":
2022-11-23T01:30:20.1119078Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1119199Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1119398Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.1119505Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1119509Z 
2022-11-23T01:30:20.1119574Z ok (1.453s)
2022-11-23T01:30:20.1119871Z   test_log_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:25:33,922] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1120187Z [2022-11-23 01:25:33,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1120401Z [2022-11-23 01:25:33,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1120657Z [2022-11-23 01:25:33,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1120963Z [2022-11-23 01:25:33,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1121283Z [2022-11-23 01:25:33,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1121628Z [2022-11-23 01:25:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1121952Z [2022-11-23 01:25:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1122324Z [2022-11-23 01:25:33,923] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1698f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236> 
2022-11-23T01:30:20.1122449Z  1237           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:20.1122541Z                2 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:30:20.1122630Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1122717Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1122788Z                8 BINARY_ADD
2022-11-23T01:30:20.1122924Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.1123009Z               12 CALL_METHOD              2
2022-11-23T01:30:20.1123099Z               14 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:20.1123185Z               16 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:30:20.1123276Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1123362Z               20 LOAD_CONST               2 (0)
2022-11-23T01:30:20.1123449Z               22 CALL_METHOD              2
2022-11-23T01:30:20.1123538Z               24 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:20.1123632Z               26 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:30:20.1123718Z               28 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1123791Z               30 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1123875Z               32 CALL_METHOD              2
2022-11-23T01:30:20.1123966Z               34 BUILD_TUPLE              3
2022-11-23T01:30:20.1124041Z               36 RETURN_VALUE
2022-11-23T01:30:20.1124102Z  
2022-11-23T01:30:20.1124107Z 
2022-11-23T01:30:20.1124422Z [2022-11-23 01:25:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1237
2022-11-23T01:30:20.1124634Z [2022-11-23 01:25:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:30:20.1125044Z [2022-11-23 01:25:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:20.1125345Z [2022-11-23 01:25:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function log_softmax at 0x7ff5aefcb400>)]
2022-11-23T01:30:20.1125651Z [2022-11-23 01:25:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function log_softmax at 0x7ff5aefcb400>), TensorVariable()]
2022-11-23T01:30:20.1126011Z [2022-11-23 01:25:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<function log_softmax at 0x7ff5aefcb400>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1126336Z [2022-11-23 01:25:33,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function log_softmax at 0x7ff5aefcb400>), TensorVariable()]
2022-11-23T01:30:20.1126699Z [2022-11-23 01:25:33,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function log_softmax at 0x7ff5aefcb400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1126943Z [2022-11-23 01:25:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:30:20.1127424Z [2022-11-23 01:25:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:20.1127746Z [2022-11-23 01:25:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function log_softmax at 0x7ff5aefcb400>)]
2022-11-23T01:30:20.1128094Z [2022-11-23 01:25:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<function log_softmax at 0x7ff5aefcb400>), TensorVariable()]
2022-11-23T01:30:20.1128486Z [2022-11-23 01:25:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function log_softmax at 0x7ff5aefcb400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1128778Z [2022-11-23 01:25:33,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1129246Z [2022-11-23 01:25:33,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:20.1129598Z [2022-11-23 01:25:33,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7ff5aefcb400>)]
2022-11-23T01:30:20.1129975Z [2022-11-23 01:25:33,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7ff5aefcb400>), TensorVariable()]
2022-11-23T01:30:20.1130396Z [2022-11-23 01:25:33,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7ff5aefcb400>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1130684Z [2022-11-23 01:25:33,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1130929Z [2022-11-23 01:25:33,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1131307Z [2022-11-23 01:25:33,936] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1698f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1236>
2022-11-23T01:30:20.1131549Z [2022-11-23 01:25:33,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1131780Z [2022-11-23 01:25:33,936] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1132034Z [2022-11-23 01:25:33,938] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1132281Z [2022-11-23 01:25:33,946] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1132469Z [2022-11-23 01:25:33,947] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1132603Z  __compiled_fn_297 <eval_with_key>.2584 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1132679Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1132763Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1132939Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.1133155Z call_function, log_softmax, <function log_softmax at 0x7ff5aefcb400>, (add, -1), {}
2022-11-23T01:30:20.1133300Z call_function, log_softmax_1, <function log_softmax at 0x7ff5aefcb400>, (ex_0_, 0), {}
2022-11-23T01:30:20.1133442Z call_function, log_softmax_2, <function log_softmax at 0x7ff5aefcb400>, (ex_1_, 1), {}
2022-11-23T01:30:20.1133580Z output, output, output, ((log_softmax, log_softmax_1, log_softmax_2),), {}
2022-11-23T01:30:20.1133588Z 
2022-11-23T01:30:20.1133939Z [2022-11-23 01:25:33,947] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1134032Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1134108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1134192Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1134283Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1134367Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1134452Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1134527Z              12 RETURN_VALUE
2022-11-23T01:30:20.1134533Z 
2022-11-23T01:30:20.1134591Z  
2022-11-23T01:30:20.1134899Z [2022-11-23 01:25:33,947] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1135033Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_297)
2022-11-23T01:30:20.1135120Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1135212Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1135288Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1135373Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1135458Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1135521Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1135605Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.1135707Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1135808Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1135895Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1135968Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1136066Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1136156Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1136219Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.1136316Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1136404Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1136594Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.1136683Z              36 BUILD_TUPLE              3
2022-11-23T01:30:20.1136757Z              38 RETURN_VALUE
2022-11-23T01:30:20.1136763Z 
2022-11-23T01:30:20.1136823Z  
2022-11-23T01:30:20.1136993Z [2022-11-23 01:25:33,948] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1137063Z  - 
2022-11-23T01:30:20.1137180Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1137243Z             {
2022-11-23T01:30:20.1137381Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1137566Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.1137684Z                 'obj_weakref': None
2022-11-23T01:30:20.1137896Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1137960Z             }
2022-11-23T01:30:20.1138022Z             
2022-11-23T01:30:20.1138093Z  - 
2022-11-23T01:30:20.1138218Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1138280Z             {
2022-11-23T01:30:20.1138422Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1138515Z                 'code': None,
2022-11-23T01:30:20.1138726Z                 'obj_weakref': <weakref at 0x7ff58f9a84a0; to 'Tensor' at 0x7ff59c047b50>
2022-11-23T01:30:20.1138979Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1139043Z             }
2022-11-23T01:30:20.1139108Z             
2022-11-23T01:30:20.1139175Z  - 
2022-11-23T01:30:20.1139296Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1139345Z             {
2022-11-23T01:30:20.1139486Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1139595Z                 'code': None,
2022-11-23T01:30:20.1139804Z                 'obj_weakref': <weakref at 0x7ff58f9a9710; to 'Tensor' at 0x7ff59c0c5260>
2022-11-23T01:30:20.1140129Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1140194Z             }
2022-11-23T01:30:20.1140256Z             
2022-11-23T01:30:20.1140313Z  - 
2022-11-23T01:30:20.1140442Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1140504Z             {
2022-11-23T01:30:20.1140636Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1140801Z                 'code': ['___check_obj_id(model, 140692658629520)'],
2022-11-23T01:30:20.1140918Z                 'obj_weakref': None
2022-11-23T01:30:20.1141146Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1141196Z             }
2022-11-23T01:30:20.1141294Z             
2022-11-23T01:30:20.1141362Z  - 
2022-11-23T01:30:20.1141483Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1141549Z             {
2022-11-23T01:30:20.1141686Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1141901Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1142009Z                 'obj_weakref': None
2022-11-23T01:30:20.1142224Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1142286Z             }
2022-11-23T01:30:20.1142346Z             
2022-11-23T01:30:20.1142413Z  - 
2022-11-23T01:30:20.1142536Z             global 'F' FUNCTION_MATCH
2022-11-23T01:30:20.1142597Z             {
2022-11-23T01:30:20.1142704Z                 'guard_types': None,
2022-11-23T01:30:20.1142807Z                 'code': None,
2022-11-23T01:30:20.1142922Z                 'obj_weakref': None
2022-11-23T01:30:20.1143038Z                 'guarded_class': None
2022-11-23T01:30:20.1143103Z             }
2022-11-23T01:30:20.1143163Z             
2022-11-23T01:30:20.1143413Z [2022-11-23 01:25:33,966] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 290
2022-11-23T01:30:20.1143431Z 
2022-11-23T01:30:20.1143511Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1143578Z import torch
2022-11-23T01:30:20.1143647Z import random
2022-11-23T01:30:20.1143761Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1143880Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1143886Z 
2022-11-23T01:30:20.1143964Z aten = torch.ops.aten
2022-11-23T01:30:20.1144095Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1144173Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1144178Z 
2022-11-23T01:30:20.1144195Z 
2022-11-23T01:30:20.1144313Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1144515Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1144637Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1144741Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1144839Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1144933Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.1145026Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.1145107Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.1145198Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:20.1145290Z                        float* __restrict__ out_ptr5,
2022-11-23T01:30:20.1145383Z                        float* __restrict__ out_ptr6,
2022-11-23T01:30:20.1145473Z                        float* __restrict__ out_ptr7,
2022-11-23T01:30:20.1145563Z                        float* __restrict__ out_ptr8)
2022-11-23T01:30:20.1145623Z {
2022-11-23T01:30:20.1145708Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1145770Z     {
2022-11-23T01:30:20.1145845Z         #pragma omp for 
2022-11-23T01:30:20.1145924Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1146021Z         {
2022-11-23T01:30:20.1146086Z             {
2022-11-23T01:30:20.1146463Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:30:20.1146698Z                 float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1146807Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.1146893Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.1146960Z                 {
2022-11-23T01:30:20.1147099Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1147237Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1147353Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1147469Z                     tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T01:30:20.1147535Z                 }
2022-11-23T01:30:20.1147735Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T01:30:20.1147857Z                 #pragma omp simd simdlen(4)  reduction(max:tmp3)
2022-11-23T01:30:20.1147946Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.1148010Z                 {
2022-11-23T01:30:20.1148108Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.1148201Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.1148290Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1148386Z                     tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:30:20.1148436Z                 }
2022-11-23T01:30:20.1148520Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.1148583Z             }
2022-11-23T01:30:20.1148642Z         }
2022-11-23T01:30:20.1148717Z         #pragma omp for 
2022-11-23T01:30:20.1148799Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1148849Z         {
2022-11-23T01:30:20.1148911Z             {
2022-11-23T01:30:20.1149100Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.1149177Z                 float tmp6 = 0;
2022-11-23T01:30:20.1149296Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.1149664Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:30:20.1149871Z                 float tmp7 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1149991Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:20.1150082Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.1150135Z                 {
2022-11-23T01:30:20.1150278Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1150418Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1150545Z                     auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:20.1150637Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1150773Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:30:20.1150863Z                     auto tmp5 = tmp4.exp();
2022-11-23T01:30:20.1150945Z                     tmp6_vec += tmp5;
2022-11-23T01:30:20.1151048Z                     tmp7_vec = at::vec::maximum(tmp7_vec, tmp1);
2022-11-23T01:30:20.1151114Z                 }
2022-11-23T01:30:20.1151307Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.1151548Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2022-11-23T01:30:20.1151693Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(max:tmp7)
2022-11-23T01:30:20.1151783Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.1151849Z                 {
2022-11-23T01:30:20.1151946Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.1152042Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.1152121Z                     auto tmp3 = out_ptr0[i0];
2022-11-23T01:30:20.1152211Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1152346Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:30:20.1152444Z                     auto tmp5 = std::exp(tmp4);
2022-11-23T01:30:20.1152521Z                     tmp6 += tmp5;
2022-11-23T01:30:20.1152649Z                     tmp7 = std::max(tmp7, tmp1);
2022-11-23T01:30:20.1152714Z                 }
2022-11-23T01:30:20.1152783Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:30:20.1152864Z                 out_ptr2[i0] = tmp7;
2022-11-23T01:30:20.1152927Z             }
2022-11-23T01:30:20.1152990Z         }
2022-11-23T01:30:20.1153068Z         #pragma omp for 
2022-11-23T01:30:20.1153150Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1153200Z         {
2022-11-23T01:30:20.1153264Z             {
2022-11-23T01:30:20.1153329Z                 {
2022-11-23T01:30:20.1153538Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1153629Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.1153696Z                     {
2022-11-23T01:30:20.1153765Z                         {
2022-11-23T01:30:20.1153969Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:30:20.1154074Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:30:20.1154148Z                         }
2022-11-23T01:30:20.1154218Z                     }
2022-11-23T01:30:20.1154304Z                     out_ptr3[i0] = tmp1;
2022-11-23T01:30:20.1154371Z                 }
2022-11-23T01:30:20.1154434Z             }
2022-11-23T01:30:20.1154484Z         }
2022-11-23T01:30:20.1154559Z         #pragma omp for 
2022-11-23T01:30:20.1154641Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1154702Z         {
2022-11-23T01:30:20.1154766Z             {
2022-11-23T01:30:20.1154838Z                 {
2022-11-23T01:30:20.1154919Z                     float tmp4 = 0;
2022-11-23T01:30:20.1154995Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.1155062Z                     {
2022-11-23T01:30:20.1155130Z                         {
2022-11-23T01:30:20.1155230Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:30:20.1155327Z                             auto tmp1 = out_ptr3[i0];
2022-11-23T01:30:20.1155476Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.1155580Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:30:20.1155651Z                             tmp4 += tmp3;
2022-11-23T01:30:20.1155719Z                         }
2022-11-23T01:30:20.1155783Z                     }
2022-11-23T01:30:20.1155868Z                     out_ptr4[i0] = tmp4;
2022-11-23T01:30:20.1155932Z                 }
2022-11-23T01:30:20.1155992Z             }
2022-11-23T01:30:20.1156053Z         }
2022-11-23T01:30:20.1156115Z         #pragma omp for 
2022-11-23T01:30:20.1156192Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1156321Z         {
2022-11-23T01:30:20.1156383Z             {
2022-11-23T01:30:20.1156569Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.1156646Z                 float tmp4 = 0;
2022-11-23T01:30:20.1156765Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:30:20.1156843Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.1156907Z                 {
2022-11-23T01:30:20.1157086Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1157212Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:30:20.1157348Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.1157436Z                     auto tmp3 = tmp2.exp();
2022-11-23T01:30:20.1157518Z                     tmp4_vec += tmp3;
2022-11-23T01:30:20.1157581Z                 }
2022-11-23T01:30:20.1157764Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:30:20.1157882Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T01:30:20.1157969Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.1158033Z                 {
2022-11-23T01:30:20.1158157Z                     auto tmp0 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.1158246Z                     auto tmp1 = out_ptr2[i0];
2022-11-23T01:30:20.1158378Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.1158464Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:30:20.1158540Z                     tmp4 += tmp3;
2022-11-23T01:30:20.1158605Z                 }
2022-11-23T01:30:20.1158687Z                 out_ptr5[i0] = tmp4;
2022-11-23T01:30:20.1158751Z             }
2022-11-23T01:30:20.1164047Z         }
2022-11-23T01:30:20.1164169Z         #pragma omp for 
2022-11-23T01:30:20.1164243Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1164308Z         {
2022-11-23T01:30:20.1164393Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.1164458Z             {
2022-11-23T01:30:20.1164609Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1164749Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1164881Z                 auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:20.1164991Z                 auto tmp5 = at::vec::Vectorized<float>(out_ptr1[i0]);
2022-11-23T01:30:20.1165125Z                 auto tmp8 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i1);
2022-11-23T01:30:20.1165257Z                 auto tmp10 = at::vec::Vectorized<float>::loadu(out_ptr4 + 8*i1);
2022-11-23T01:30:20.1165384Z                 auto tmp13 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:30:20.1165520Z                 auto tmp15 = at::vec::Vectorized<float>(out_ptr5[i0]);
2022-11-23T01:30:20.1165610Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1165761Z                 auto tmp4 = tmp2 - tmp3;
2022-11-23T01:30:20.1165846Z                 auto tmp6 = tmp5.log();
2022-11-23T01:30:20.1165963Z                 auto tmp7 = tmp4 - tmp6;
2022-11-23T01:30:20.1166087Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T01:30:20.1166175Z                 auto tmp11 = tmp10.log();
2022-11-23T01:30:20.1166310Z                 auto tmp12 = tmp9 - tmp11;
2022-11-23T01:30:20.1166441Z                 auto tmp14 = tmp1 - tmp13;
2022-11-23T01:30:20.1166529Z                 auto tmp16 = tmp15.log();
2022-11-23T01:30:20.1166660Z                 auto tmp17 = tmp14 - tmp16;
2022-11-23T01:30:20.1166761Z                 tmp7.store(out_ptr6 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1166853Z                 tmp12.store(out_ptr7 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1166954Z                 tmp17.store(out_ptr8 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1167018Z             }
2022-11-23T01:30:20.1167110Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.1167193Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.1167257Z             {
2022-11-23T01:30:20.1167351Z                 auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.1167434Z                 auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.1167521Z                 auto tmp3 = out_ptr0[i0];
2022-11-23T01:30:20.1167609Z                 auto tmp5 = out_ptr1[i0];
2022-11-23T01:30:20.1167693Z                 auto tmp8 = out_ptr3[i1];
2022-11-23T01:30:20.1167865Z                 auto tmp10 = out_ptr4[i1];
2022-11-23T01:30:20.1167957Z                 auto tmp13 = out_ptr2[i0];
2022-11-23T01:30:20.1168045Z                 auto tmp15 = out_ptr5[i0];
2022-11-23T01:30:20.1168119Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1168247Z                 auto tmp4 = tmp2 - tmp3;
2022-11-23T01:30:20.1168342Z                 auto tmp6 = std::log(tmp5);
2022-11-23T01:30:20.1168467Z                 auto tmp7 = tmp4 - tmp6;
2022-11-23T01:30:20.1168594Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T01:30:20.1168691Z                 auto tmp11 = std::log(tmp10);
2022-11-23T01:30:20.1168824Z                 auto tmp12 = tmp9 - tmp11;
2022-11-23T01:30:20.1168938Z                 auto tmp14 = tmp1 - tmp13;
2022-11-23T01:30:20.1169034Z                 auto tmp16 = std::log(tmp15);
2022-11-23T01:30:20.1169202Z                 auto tmp17 = tmp14 - tmp16;
2022-11-23T01:30:20.1169290Z                 out_ptr6[i1 + (8*i0)] = tmp7;
2022-11-23T01:30:20.1169382Z                 out_ptr7[i1 + (8*i0)] = tmp12;
2022-11-23T01:30:20.1169470Z                 out_ptr8[i1 + (8*i0)] = tmp17;
2022-11-23T01:30:20.1169533Z             }
2022-11-23T01:30:20.1169582Z         }
2022-11-23T01:30:20.1169643Z     }
2022-11-23T01:30:20.1169703Z }
2022-11-23T01:30:20.1169779Z ''')
2022-11-23T01:30:20.1169786Z 
2022-11-23T01:30:20.1169790Z 
2022-11-23T01:30:20.1169879Z async_compile.wait(globals())
2022-11-23T01:30:20.1169950Z del async_compile
2022-11-23T01:30:20.1169956Z 
2022-11-23T01:30:20.1170025Z def call(args):
2022-11-23T01:30:20.1170088Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1170158Z     args.clear()
2022-11-23T01:30:20.1170354Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1170548Z     buf1 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1170740Z     buf4 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1170929Z     buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1171113Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1171297Z     buf5 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1171468Z     buf6 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1171651Z     buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1171833Z     buf8 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1172182Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:30:20.1172252Z     del arg0_1
2022-11-23T01:30:20.1172317Z     del arg1_1
2022-11-23T01:30:20.1172398Z     return (buf6, buf7, buf8, )
2022-11-23T01:30:20.1172405Z 
2022-11-23T01:30:20.1172410Z 
2022-11-23T01:30:20.1172485Z if __name__ == "__main__":
2022-11-23T01:30:20.1172600Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1172711Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1172904Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1173096Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1173211Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1173574Z [2022-11-23 01:25:35,537] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2mcyfx4f2arfm42f4r77ld4v4e36rj2d6xom7wqiei53ipne2dr.py
2022-11-23T01:30:20.1173837Z [2022-11-23 01:25:35,537] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 290
2022-11-23T01:30:20.1173845Z 
2022-11-23T01:30:20.1173911Z ok (1.706s)
2022-11-23T01:30:20.1174259Z   test_logsumexp_cpu (__main__.CpuTests) ... [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1174560Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1174778Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1175031Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1175308Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1175628Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1176003Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1176326Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1176826Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f6a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700> 
2022-11-23T01:30:20.1176923Z  2701           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1177025Z                2 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:30:20.1177105Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1177243Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.1177335Z                8 CALL_METHOD              2
2022-11-23T01:30:20.1177428Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1177530Z               12 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:30:20.1177620Z               14 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1177706Z               16 LOAD_CONST               2 (0)
2022-11-23T01:30:20.1177782Z               18 CALL_METHOD              2
2022-11-23T01:30:20.1177869Z               20 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1177949Z               22 BINARY_SUBTRACT
2022-11-23T01:30:20.1178038Z               24 BUILD_TUPLE              2
2022-11-23T01:30:20.1178113Z               26 RETURN_VALUE
2022-11-23T01:30:20.1178175Z  
2022-11-23T01:30:20.1178181Z 
2022-11-23T01:30:20.1178498Z [2022-11-23 01:25:35,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2701
2022-11-23T01:30:20.1178715Z [2022-11-23 01:25:35,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1179086Z [2022-11-23 01:25:35,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1179411Z [2022-11-23 01:25:35,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method logsumexp of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1179769Z [2022-11-23 01:25:35,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method logsumexp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1180171Z [2022-11-23 01:25:35,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method logsumexp of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1180415Z [2022-11-23 01:25:35,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.1180873Z [2022-11-23 01:25:35,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1181231Z [2022-11-23 01:25:35,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1181613Z [2022-11-23 01:25:35,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1182040Z [2022-11-23 01:25:35,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1182304Z [2022-11-23 01:25:35,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1182658Z [2022-11-23 01:25:35,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1182925Z [2022-11-23 01:25:35,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1183171Z [2022-11-23 01:25:35,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1183537Z [2022-11-23 01:25:35,637] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f6a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2700>
2022-11-23T01:30:20.1183779Z [2022-11-23 01:25:35,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1184013Z [2022-11-23 01:25:35,638] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1184267Z [2022-11-23 01:25:35,639] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1184517Z [2022-11-23 01:25:35,647] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1184703Z [2022-11-23 01:25:35,648] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1184835Z  __compiled_fn_298 <eval_with_key>.2590 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1184923Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1185160Z call_function, logsumexp, <built-in method logsumexp of type object at 0x7ff5d7c59c60>, (ex_0_, -1), {}
2022-11-23T01:30:20.1185406Z call_function, logsumexp_1, <built-in method logsumexp of type object at 0x7ff5d7c59c60>, (ex_0_, 0), {}
2022-11-23T01:30:20.1185588Z call_function, sub, <built-in function sub>, (logsumexp_1, 2), {}
2022-11-23T01:30:20.1185697Z output, output, output, ((logsumexp, sub),), {}
2022-11-23T01:30:20.1185704Z 
2022-11-23T01:30:20.1186030Z [2022-11-23 01:25:35,648] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1186121Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1186210Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1186293Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1186385Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1186457Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1186543Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1186618Z              12 RETURN_VALUE
2022-11-23T01:30:20.1186623Z 
2022-11-23T01:30:20.1186686Z  
2022-11-23T01:30:20.1187005Z [2022-11-23 01:25:35,648] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1187110Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_298)
2022-11-23T01:30:20.1187201Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1187278Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1187383Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1187472Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1187574Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1187673Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1187760Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1187834Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1187931Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1188006Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1188081Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1188167Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1188244Z              26 RETURN_VALUE
2022-11-23T01:30:20.1188278Z 
2022-11-23T01:30:20.1188339Z  
2022-11-23T01:30:20.1188519Z [2022-11-23 01:25:35,649] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1188587Z  - 
2022-11-23T01:30:20.1188695Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1188759Z             {
2022-11-23T01:30:20.1188898Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1189086Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1189203Z                 'obj_weakref': None
2022-11-23T01:30:20.1189426Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1189488Z             }
2022-11-23T01:30:20.1189538Z             
2022-11-23T01:30:20.1189604Z  - 
2022-11-23T01:30:20.1189727Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1189789Z             {
2022-11-23T01:30:20.1189928Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1190036Z                 'code': None,
2022-11-23T01:30:20.1190248Z                 'obj_weakref': <weakref at 0x7ff58f9844f0; to 'Tensor' at 0x7ff58f99a160>
2022-11-23T01:30:20.1190490Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1190552Z             }
2022-11-23T01:30:20.1190615Z             
2022-11-23T01:30:20.1190683Z  - 
2022-11-23T01:30:20.1190814Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1190876Z             {
2022-11-23T01:30:20.1191009Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1191164Z                 'code': ['___check_obj_id(model, 140692658419840)'],
2022-11-23T01:30:20.1191281Z                 'obj_weakref': None
2022-11-23T01:30:20.1191510Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1191573Z             }
2022-11-23T01:30:20.1191635Z             
2022-11-23T01:30:20.1191704Z  - 
2022-11-23T01:30:20.1191824Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1191877Z             {
2022-11-23T01:30:20.1192012Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1192230Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1192349Z                 'obj_weakref': None
2022-11-23T01:30:20.1192568Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1192629Z             }
2022-11-23T01:30:20.1192689Z             
2022-11-23T01:30:20.1192744Z  - 
2022-11-23T01:30:20.1192876Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1192938Z             {
2022-11-23T01:30:20.1193058Z                 'guard_types': None,
2022-11-23T01:30:20.1193165Z                 'code': None,
2022-11-23T01:30:20.1193280Z                 'obj_weakref': None
2022-11-23T01:30:20.1193401Z                 'guarded_class': None
2022-11-23T01:30:20.1193451Z             }
2022-11-23T01:30:20.1193512Z             
2022-11-23T01:30:20.1193773Z [2022-11-23 01:25:35,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 291
2022-11-23T01:30:20.1194263Z [2022-11-23 01:25:37,156] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/du/cdus3dw6zilgj7i3iui2ijh4lwe62fzuhmcck5fb5mdky5xomrog.py
2022-11-23T01:30:20.1194530Z [2022-11-23 01:25:37,157] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 291
2022-11-23T01:30:20.1194536Z 
2022-11-23T01:30:20.1194630Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1194700Z import torch
2022-11-23T01:30:20.1194755Z import random
2022-11-23T01:30:20.1194870Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1194990Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1194995Z 
2022-11-23T01:30:20.1195075Z aten = torch.ops.aten
2022-11-23T01:30:20.1195212Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1195340Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1195345Z 
2022-11-23T01:30:20.1195350Z 
2022-11-23T01:30:20.1195482Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1195697Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1195815Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.1195903Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:20.1196010Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1196110Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1196206Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.1196265Z {
2022-11-23T01:30:20.1196351Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.1196433Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T01:30:20.1196518Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1196582Z     {
2022-11-23T01:30:20.1196658Z         #pragma omp for 
2022-11-23T01:30:20.1196741Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1196804Z         {
2022-11-23T01:30:20.1196868Z             {
2022-11-23T01:30:20.1197250Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:30:20.1197456Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1197576Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.1197666Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.1197732Z                 {
2022-11-23T01:30:20.1197873Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1197991Z                     tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2022-11-23T01:30:20.1198054Z                 }
2022-11-23T01:30:20.1198266Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2022-11-23T01:30:20.1198389Z                 #pragma omp simd simdlen(4)  reduction(max:tmp1)
2022-11-23T01:30:20.1198466Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.1198530Z                 {
2022-11-23T01:30:20.1198629Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.1198726Z                     tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:30:20.1198791Z                 }
2022-11-23T01:30:20.1198871Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.1198934Z             }
2022-11-23T01:30:20.1198984Z         }
2022-11-23T01:30:20.1199059Z         #pragma omp for 
2022-11-23T01:30:20.1199139Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1199202Z         {
2022-11-23T01:30:20.1199264Z             {
2022-11-23T01:30:20.1199451Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.1199531Z                 float tmp4 = 0;
2022-11-23T01:30:20.1199637Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:30:20.1199761Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.1199826Z                 {
2022-11-23T01:30:20.1199965Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1200090Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:20.1200229Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.1200321Z                     auto tmp3 = tmp2.exp();
2022-11-23T01:30:20.1200389Z                     tmp4_vec += tmp3;
2022-11-23T01:30:20.1200454Z                 }
2022-11-23T01:30:20.1200649Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:30:20.1200769Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T01:30:20.1200886Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.1200952Z                 {
2022-11-23T01:30:20.1201050Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.1201142Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:30:20.1201264Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.1201360Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:30:20.1201438Z                     tmp4 += tmp3;
2022-11-23T01:30:20.1201502Z                 }
2022-11-23T01:30:20.1201584Z                 out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.1201647Z             }
2022-11-23T01:30:20.1201710Z         }
2022-11-23T01:30:20.1201774Z         #pragma omp for 
2022-11-23T01:30:20.1201854Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1201917Z         {
2022-11-23T01:30:20.1201980Z             {
2022-11-23T01:30:20.1202043Z                 {
2022-11-23T01:30:20.1202254Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1202344Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.1202397Z                     {
2022-11-23T01:30:20.1202466Z                         {
2022-11-23T01:30:20.1202570Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:30:20.1202674Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:30:20.1202741Z                         }
2022-11-23T01:30:20.1202811Z                     }
2022-11-23T01:30:20.1202894Z                     out_ptr2[i0] = tmp1;
2022-11-23T01:30:20.1202945Z                 }
2022-11-23T01:30:20.1203009Z             }
2022-11-23T01:30:20.1203070Z         }
2022-11-23T01:30:20.1203146Z         #pragma omp for 
2022-11-23T01:30:20.1203226Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1203288Z         {
2022-11-23T01:30:20.1203337Z             {
2022-11-23T01:30:20.1203401Z                 {
2022-11-23T01:30:20.1203479Z                     float tmp4 = 0;
2022-11-23T01:30:20.1203571Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.1203636Z                     {
2022-11-23T01:30:20.1203702Z                         {
2022-11-23T01:30:20.1203810Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:30:20.1203894Z                             auto tmp1 = out_ptr2[i0];
2022-11-23T01:30:20.1204036Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.1204138Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:30:20.1204223Z                             tmp4 += tmp3;
2022-11-23T01:30:20.1204290Z                         }
2022-11-23T01:30:20.1204355Z                     }
2022-11-23T01:30:20.1204439Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:30:20.1204490Z                 }
2022-11-23T01:30:20.1204553Z             }
2022-11-23T01:30:20.1204614Z         }
2022-11-23T01:30:20.1204690Z         #pragma omp for 
2022-11-23T01:30:20.1204769Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1204833Z         {
2022-11-23T01:30:20.1204897Z             {
2022-11-23T01:30:20.1204948Z                 {
2022-11-23T01:30:20.1205039Z                     auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:20.1205165Z                     auto tmp2 = out_ptr0[i0];
2022-11-23T01:30:20.1205264Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:30:20.1205359Z                     auto tmp3 = std::abs(tmp2);
2022-11-23T01:30:20.1205483Z                     auto tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1205575Z                     auto tmp5 = tmp3 == tmp4;
2022-11-23T01:30:20.1205667Z                     auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:30:20.1205764Z                     auto tmp7 = tmp5 ? tmp6 : tmp2;
2022-11-23T01:30:20.1205855Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:30:20.1205942Z                     in_out_ptr0[i0] = tmp8;
2022-11-23T01:30:20.1206006Z                 }
2022-11-23T01:30:20.1206068Z             }
2022-11-23T01:30:20.1206130Z         }
2022-11-23T01:30:20.1206221Z         #pragma omp for 
2022-11-23T01:30:20.1206301Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1206363Z         {
2022-11-23T01:30:20.1206425Z             {
2022-11-23T01:30:20.1206493Z                 {
2022-11-23T01:30:20.1206585Z                     auto tmp0 = out_ptr3[i0];
2022-11-23T01:30:20.1206675Z                     auto tmp2 = out_ptr2[i0];
2022-11-23T01:30:20.1206756Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:30:20.1206849Z                     auto tmp3 = std::abs(tmp2);
2022-11-23T01:30:20.1206974Z                     auto tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1207063Z                     auto tmp5 = tmp3 == tmp4;
2022-11-23T01:30:20.1207169Z                     auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:30:20.1207265Z                     auto tmp7 = tmp5 ? tmp6 : tmp2;
2022-11-23T01:30:20.1207353Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:30:20.1207443Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:30:20.1207582Z                     auto tmp10 = tmp8 - tmp9;
2022-11-23T01:30:20.1207670Z                     in_out_ptr1[i0] = tmp10;
2022-11-23T01:30:20.1207736Z                 }
2022-11-23T01:30:20.1207798Z             }
2022-11-23T01:30:20.1207859Z         }
2022-11-23T01:30:20.1207920Z     }
2022-11-23T01:30:20.1207968Z }
2022-11-23T01:30:20.1208045Z ''')
2022-11-23T01:30:20.1208050Z 
2022-11-23T01:30:20.1208055Z 
2022-11-23T01:30:20.1208143Z async_compile.wait(globals())
2022-11-23T01:30:20.1208214Z del async_compile
2022-11-23T01:30:20.1208219Z 
2022-11-23T01:30:20.1208289Z def call(args):
2022-11-23T01:30:20.1208356Z     arg0_1, = args
2022-11-23T01:30:20.1208426Z     args.clear()
2022-11-23T01:30:20.1208622Z     buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1208800Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1208992Z     buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1209180Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1209265Z     buf4 = buf1; del buf1  # reuse
2022-11-23T01:30:20.1209352Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:30:20.1209561Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.1209631Z     del arg0_1
2022-11-23T01:30:20.1209695Z     return (buf4, buf5, )
2022-11-23T01:30:20.1209712Z 
2022-11-23T01:30:20.1209717Z 
2022-11-23T01:30:20.1209779Z if __name__ == "__main__":
2022-11-23T01:30:20.1209892Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1210013Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1210205Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1210311Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1210318Z 
2022-11-23T01:30:20.1210384Z ok (1.535s)
2022-11-23T01:30:20.1210725Z   test_long_tensor_cpu (__main__.CpuTests) ... [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1211043Z [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1211248Z [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1211500Z [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1211775Z [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1212095Z [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1212474Z [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1212795Z [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1213170Z [2022-11-23 01:25:37,162] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e0f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107> 
2022-11-23T01:30:20.1213268Z  3109           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1213373Z                2 LOAD_METHOD              1 (LongTensor)
2022-11-23T01:30:20.1213466Z                4 LOAD_CONST               1 (294)
2022-11-23T01:30:20.1213541Z                6 BUILD_LIST               1
2022-11-23T01:30:20.1213628Z                8 CALL_METHOD              1
2022-11-23T01:30:20.1213721Z               10 LOAD_METHOD              2 (to)
2022-11-23T01:30:20.1213811Z               12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1213902Z               14 LOAD_ATTR                3 (device)
2022-11-23T01:30:20.1213991Z               16 CALL_METHOD              1
2022-11-23T01:30:20.1214080Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1214147Z               20 BINARY_SUBTRACT
2022-11-23T01:30:20.1214152Z 
2022-11-23T01:30:20.1214244Z 3110          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1214338Z               24 LOAD_METHOD              4 (as_tensor)
2022-11-23T01:30:20.1214427Z               26 LOAD_CONST               2 (295)
2022-11-23T01:30:20.1214513Z               28 BUILD_LIST               1
2022-11-23T01:30:20.1214598Z               30 CALL_METHOD              1
2022-11-23T01:30:20.1214689Z               32 LOAD_METHOD              2 (to)
2022-11-23T01:30:20.1214764Z               34 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1214856Z               36 LOAD_ATTR                3 (device)
2022-11-23T01:30:20.1214940Z               38 CALL_METHOD              1
2022-11-23T01:30:20.1215027Z               40 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1215099Z               42 BINARY_ADD
2022-11-23T01:30:20.1215104Z 
2022-11-23T01:30:20.1215190Z 3108          44 BUILD_TUPLE              2
2022-11-23T01:30:20.1215263Z               46 RETURN_VALUE
2022-11-23T01:30:20.1215312Z  
2022-11-23T01:30:20.1215329Z 
2022-11-23T01:30:20.1215633Z [2022-11-23 01:25:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3109
2022-11-23T01:30:20.1215852Z [2022-11-23 01:25:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1216227Z [2022-11-23 01:25:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR LongTensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1216628Z [2022-11-23 01:25:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 294 [TorchVariable(<class 'torch.LongTensor'>)]
2022-11-23T01:30:20.1217008Z [2022-11-23 01:25:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<class 'torch.LongTensor'>), ConstantVariable(int)]
2022-11-23T01:30:20.1217316Z [2022-11-23 01:25:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<class 'torch.LongTensor'>), ListVariable()]
2022-11-23T01:30:20.1217557Z [2022-11-23 01:25:37,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:30:20.1217830Z [2022-11-23 01:25:37,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:30:20.1218135Z [2022-11-23 01:25:37,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:30:20.1218441Z [2022-11-23 01:25:37,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:30:20.1218708Z [2022-11-23 01:25:37,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.1218988Z [2022-11-23 01:25:37,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1219302Z [2022-11-23 01:25:37,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3110
2022-11-23T01:30:20.1219548Z [2022-11-23 01:25:37,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.1219953Z [2022-11-23 01:25:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1220313Z [2022-11-23 01:25:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 295 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1220707Z [2022-11-23 01:25:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:20.1221092Z [2022-11-23 01:25:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.1221357Z [2022-11-23 01:25:37,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1221656Z [2022-11-23 01:25:37,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:30:20.1221985Z [2022-11-23 01:25:37,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:30:20.1222321Z [2022-11-23 01:25:37,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:30:20.1222568Z [2022-11-23 01:25:37,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1222870Z [2022-11-23 01:25:37,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1223182Z [2022-11-23 01:25:37,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3108
2022-11-23T01:30:20.1223450Z [2022-11-23 01:25:37,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1223696Z [2022-11-23 01:25:37,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1224112Z [2022-11-23 01:25:37,170] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e0f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3107>
2022-11-23T01:30:20.1224361Z [2022-11-23 01:25:37,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1224592Z [2022-11-23 01:25:37,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1224845Z [2022-11-23 01:25:37,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1225097Z [2022-11-23 01:25:37,175] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1225272Z [2022-11-23 01:25:37,175] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1225406Z  __compiled_fn_299 <eval_with_key>.2596 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1225525Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1225717Z call_function, long_tensor, <class 'torch.LongTensor'>, ([294],), {}
2022-11-23T01:30:20.1225887Z call_method, to, to, (long_tensor, device(type='cpu')), {}
2022-11-23T01:30:20.1226059Z call_function, sub, <built-in function sub>, (to, ex_0_), {}
2022-11-23T01:30:20.1226298Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7ff5d7c59c60>, ([295],), {}
2022-11-23T01:30:20.1226462Z call_method, to_1, to, (as_tensor, device(type='cpu')), {}
2022-11-23T01:30:20.1226623Z call_function, add, <built-in function add>, (to_1, ex_0_), {}
2022-11-23T01:30:20.1226724Z output, output, output, ((sub, add),), {}
2022-11-23T01:30:20.1226729Z 
2022-11-23T01:30:20.1227052Z [2022-11-23 01:25:37,176] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1227144Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1227236Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1227323Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1227418Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1227502Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1227576Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1227650Z              12 RETURN_VALUE
2022-11-23T01:30:20.1227655Z 
2022-11-23T01:30:20.1227715Z  
2022-11-23T01:30:20.1228033Z [2022-11-23 01:25:37,176] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1228140Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_299)
2022-11-23T01:30:20.1228231Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1228319Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1228383Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1228469Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1228573Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1228674Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1228765Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1228840Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1228938Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1229013Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1229089Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1229173Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1229247Z              26 RETURN_VALUE
2022-11-23T01:30:20.1229252Z 
2022-11-23T01:30:20.1229313Z  
2022-11-23T01:30:20.1229495Z [2022-11-23 01:25:37,176] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1229564Z  - 
2022-11-23T01:30:20.1229683Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1229734Z             {
2022-11-23T01:30:20.1229877Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1230065Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1230211Z                 'obj_weakref': None
2022-11-23T01:30:20.1230438Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1230501Z             }
2022-11-23T01:30:20.1230565Z             
2022-11-23T01:30:20.1230620Z  - 
2022-11-23T01:30:20.1230742Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:20.1230804Z             {
2022-11-23T01:30:20.1230941Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.1231110Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:20.1231326Z                 'obj_weakref': <weakref at 0x7ff57f8b1c10; to 'Tensor' at 0x7ff5a8501300>
2022-11-23T01:30:20.1231578Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1231656Z             }
2022-11-23T01:30:20.1231718Z             
2022-11-23T01:30:20.1231788Z  - 
2022-11-23T01:30:20.1231911Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1231976Z             {
2022-11-23T01:30:20.1232119Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1232225Z                 'code': None,
2022-11-23T01:30:20.1232421Z                 'obj_weakref': <weakref at 0x7ff57f8b1c10; to 'Tensor' at 0x7ff5a8501300>
2022-11-23T01:30:20.1232669Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1232732Z             }
2022-11-23T01:30:20.1232794Z             
2022-11-23T01:30:20.1232862Z  - 
2022-11-23T01:30:20.1232990Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1233052Z             {
2022-11-23T01:30:20.1233173Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1233342Z                 'code': ['___check_obj_id(model, 140692655628944)'],
2022-11-23T01:30:20.1233462Z                 'obj_weakref': None
2022-11-23T01:30:20.1233688Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1233754Z             }
2022-11-23T01:30:20.1233893Z             
2022-11-23T01:30:20.1233968Z  - 
2022-11-23T01:30:20.1234077Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1234139Z             {
2022-11-23T01:30:20.1234274Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1234491Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1234609Z                 'obj_weakref': None
2022-11-23T01:30:20.1234825Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1234889Z             }
2022-11-23T01:30:20.1234938Z             
2022-11-23T01:30:20.1235007Z  - 
2022-11-23T01:30:20.1235138Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1235204Z             {
2022-11-23T01:30:20.1235324Z                 'guard_types': None,
2022-11-23T01:30:20.1235430Z                 'code': None,
2022-11-23T01:30:20.1235535Z                 'obj_weakref': None
2022-11-23T01:30:20.1235656Z                 'guarded_class': None
2022-11-23T01:30:20.1235716Z             }
2022-11-23T01:30:20.1235778Z             
2022-11-23T01:30:20.1236036Z [2022-11-23 01:25:37,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 292
2022-11-23T01:30:20.1236402Z [2022-11-23 01:25:38,579] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chd4w2g7w5wurpsbxnxmggpobp4auyioytgut464bhrd75x26oqo.py
2022-11-23T01:30:20.1236666Z [2022-11-23 01:25:38,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 292
2022-11-23T01:30:20.1236672Z 
2022-11-23T01:30:20.1236765Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1236820Z import torch
2022-11-23T01:30:20.1236889Z import random
2022-11-23T01:30:20.1237005Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1237125Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1237130Z 
2022-11-23T01:30:20.1237240Z aten = torch.ops.aten
2022-11-23T01:30:20.1237374Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1237466Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1237471Z 
2022-11-23T01:30:20.1237475Z 
2022-11-23T01:30:20.1237606Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1237798Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1237916Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.1238012Z                        long* __restrict__ out_ptr0,
2022-11-23T01:30:20.1238107Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:20.1238167Z {
2022-11-23T01:30:20.1238264Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1238378Z     {
2022-11-23T01:30:20.1238442Z         #pragma omp for 
2022-11-23T01:30:20.1238523Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:20.1238585Z         {
2022-11-23T01:30:20.1238649Z             {
2022-11-23T01:30:20.1238715Z                 {
2022-11-23T01:30:20.1238805Z                     auto tmp1 = in_ptr0[i0];
2022-11-23T01:30:20.1238907Z                     auto tmp0 = static_cast<long>(294);
2022-11-23T01:30:20.1239029Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.1239134Z                     auto tmp3 = static_cast<long>(295);
2022-11-23T01:30:20.1239225Z                     auto tmp4 = tmp3 + tmp1;
2022-11-23T01:30:20.1239310Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.1239394Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.1239461Z                 }
2022-11-23T01:30:20.1239524Z             }
2022-11-23T01:30:20.1239573Z         }
2022-11-23T01:30:20.1239635Z     }
2022-11-23T01:30:20.1239696Z }
2022-11-23T01:30:20.1239773Z ''')
2022-11-23T01:30:20.1239781Z 
2022-11-23T01:30:20.1239785Z 
2022-11-23T01:30:20.1239877Z async_compile.wait(globals())
2022-11-23T01:30:20.1239948Z del async_compile
2022-11-23T01:30:20.1239953Z 
2022-11-23T01:30:20.1240026Z def call(args):
2022-11-23T01:30:20.1240082Z     arg0_1, = args
2022-11-23T01:30:20.1240153Z     args.clear()
2022-11-23T01:30:20.1240343Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1240534Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1240696Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1240765Z     del arg0_1
2022-11-23T01:30:20.1240841Z     return (buf0, buf1, )
2022-11-23T01:30:20.1240847Z 
2022-11-23T01:30:20.1240851Z 
2022-11-23T01:30:20.1240926Z if __name__ == "__main__":
2022-11-23T01:30:20.1241026Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1241145Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1241339Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1241444Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1241451Z 
2022-11-23T01:30:20.1241517Z ok (1.422s)
2022-11-23T01:30:20.1241835Z   test_lowmem_dropout1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:38,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1242155Z [2022-11-23 01:25:38,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158
2022-11-23T01:30:20.1242369Z [2022-11-23 01:25:38,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:30:20.1242777Z [2022-11-23 01:25:38,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:20.1243056Z [2022-11-23 01:25:38,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7ff5aefca680>)]
2022-11-23T01:30:20.1243414Z [2022-11-23 01:25:38,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable()]
2022-11-23T01:30:20.1243778Z [2022-11-23 01:25:38,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1244097Z [2022-11-23 01:25:38,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable()]
2022-11-23T01:30:20.1244457Z [2022-11-23 01:25:38,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.1244858Z [2022-11-23 01:25:38,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:30:20.1245136Z [2022-11-23 01:25:38,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1245370Z [2022-11-23 01:25:38,588] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1245611Z [2022-11-23 01:25:38,589] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.1245846Z [2022-11-23 01:25:38,591] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.1246031Z [2022-11-23 01:25:38,592] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1246154Z  __compiled_fn_300 <eval_with_key>.2602 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1246236Z placeholder, x, x, (), {}
2022-11-23T01:30:20.1246332Z placeholder, weight, weight, (), {}
2022-11-23T01:30:20.1246509Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T01:30:20.1246670Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7ff5aab45480>, (mul, 0.33, False), {}
2022-11-23T01:30:20.1246783Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:30:20.1246788Z 
2022-11-23T01:30:20.1247111Z [2022-11-23 01:25:38,592] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:30:20.1247205Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:20.1247291Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T01:30:20.1247380Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1247473Z                6 LOAD_DEREF               0 (weight)
2022-11-23T01:30:20.1247551Z                8 BINARY_MULTIPLY
2022-11-23T01:30:20.1247643Z               10 LOAD_CONST               1 (0.33)
2022-11-23T01:30:20.1247733Z               12 LOAD_FAST                1 (train)
2022-11-23T01:30:20.1247822Z               14 CALL_METHOD              3
2022-11-23T01:30:20.1247886Z               16 RETURN_VALUE
2022-11-23T01:30:20.1247891Z 
2022-11-23T01:30:20.1247954Z  
2022-11-23T01:30:20.1248278Z [2022-11-23 01:25:38,592] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:30:20.1248386Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_300)
2022-11-23T01:30:20.1248473Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1248568Z                4 LOAD_DEREF               0 (weight)
2022-11-23T01:30:20.1248655Z                6 CALL_FUNCTION            2
2022-11-23T01:30:20.1248744Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1248806Z               10 RETURN_VALUE
2022-11-23T01:30:20.1248811Z 
2022-11-23T01:30:20.1248870Z  
2022-11-23T01:30:20.1249051Z [2022-11-23 01:25:38,593] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1249122Z  - 
2022-11-23T01:30:20.1249240Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:20.1249303Z             {
2022-11-23T01:30:20.1249444Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1249568Z                 'code': None,
2022-11-23T01:30:20.1249780Z                 'obj_weakref': <weakref at 0x7ff57f913600; to 'Tensor' at 0x7ff59c0c7880>
2022-11-23T01:30:20.1250035Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1250098Z             }
2022-11-23T01:30:20.1250160Z             
2022-11-23T01:30:20.1250227Z  - 
2022-11-23T01:30:20.1250357Z             local 'train' CONSTANT_MATCH
2022-11-23T01:30:20.1250407Z             {
2022-11-23T01:30:20.1250539Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1250704Z                 'code': ['___check_obj_id(train, 94571819132608)'],
2022-11-23T01:30:20.1250819Z                 'obj_weakref': None
2022-11-23T01:30:20.1251064Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:20.1251126Z             }
2022-11-23T01:30:20.1251188Z             
2022-11-23T01:30:20.1251245Z  - 
2022-11-23T01:30:20.1251369Z             local 'weight' TENSOR_MATCH
2022-11-23T01:30:20.1251430Z             {
2022-11-23T01:30:20.1251569Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1251673Z                 'code': None,
2022-11-23T01:30:20.1251881Z                 'obj_weakref': <weakref at 0x7ff57f924590; to 'Tensor' at 0x7ff58f9deac0>
2022-11-23T01:30:20.1252132Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1252182Z             }
2022-11-23T01:30:20.1252243Z             
2022-11-23T01:30:20.1252311Z  - 
2022-11-23T01:30:20.1252435Z             global 'F' FUNCTION_MATCH
2022-11-23T01:30:20.1252497Z             {
2022-11-23T01:30:20.1252615Z                 'guard_types': None,
2022-11-23T01:30:20.1252721Z                 'code': None,
2022-11-23T01:30:20.1252825Z                 'obj_weakref': None
2022-11-23T01:30:20.1252944Z                 'guarded_class': None
2022-11-23T01:30:20.1253006Z             }
2022-11-23T01:30:20.1253067Z             
2022-11-23T01:30:20.1253324Z [2022-11-23 01:25:38,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 293
2022-11-23T01:30:20.1253694Z [2022-11-23 01:25:40,035] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ib/cibhuhdmxr4aheehhlxlbvwo2mkhq62unhhz62lrdgukq4juzwjr.py
2022-11-23T01:30:20.1253957Z [2022-11-23 01:25:40,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 293
2022-11-23T01:30:20.1254200Z [2022-11-23 01:25:40,036] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 293
2022-11-23T01:30:20.1254553Z [2022-11-23 01:25:40,045] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3b/c3byaxux4ht7bcnn25wzk24ahbxmo2bay76dw5ig4kmkoszuk77y.py
2022-11-23T01:30:20.1254819Z [2022-11-23 01:25:40,045] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 293
2022-11-23T01:30:20.1255055Z [2022-11-23 01:25:40,049] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1255369Z [2022-11-23 01:25:40,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4158
2022-11-23T01:30:20.1255581Z [2022-11-23 01:25:40,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:30:20.1255989Z [2022-11-23 01:25:40,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:20.1256279Z [2022-11-23 01:25:40,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7ff5aefca680>)]
2022-11-23T01:30:20.1256776Z [2022-11-23 01:25:40,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable()]
2022-11-23T01:30:20.1257190Z [2022-11-23 01:25:40,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1257510Z [2022-11-23 01:25:40,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable()]
2022-11-23T01:30:20.1257872Z [2022-11-23 01:25:40,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.1258266Z [2022-11-23 01:25:40,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7ff5aefca680>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:30:20.1258546Z [2022-11-23 01:25:40,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1258781Z [2022-11-23 01:25:40,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1259023Z [2022-11-23 01:25:40,054] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.1259261Z [2022-11-23 01:25:40,057] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.1259449Z [2022-11-23 01:25:40,058] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1259585Z  __compiled_fn_301 <eval_with_key>.2613 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1259673Z placeholder, x, x, (), {}
2022-11-23T01:30:20.1259757Z placeholder, weight, weight, (), {}
2022-11-23T01:30:20.1259929Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T01:30:20.1260086Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7ff5aab45480>, (mul, 0.33, True), {}
2022-11-23T01:30:20.1260199Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:30:20.1260204Z 
2022-11-23T01:30:20.1260530Z [2022-11-23 01:25:40,058] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:30:20.1260622Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:30:20.1260719Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T01:30:20.1260809Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1260903Z                6 LOAD_DEREF               0 (weight)
2022-11-23T01:30:20.1260971Z                8 BINARY_MULTIPLY
2022-11-23T01:30:20.1261062Z               10 LOAD_CONST               1 (0.33)
2022-11-23T01:30:20.1261152Z               12 LOAD_FAST                1 (train)
2022-11-23T01:30:20.1261241Z               14 CALL_METHOD              3
2022-11-23T01:30:20.1261318Z               16 RETURN_VALUE
2022-11-23T01:30:20.1261324Z 
2022-11-23T01:30:20.1261383Z  
2022-11-23T01:30:20.1261707Z [2022-11-23 01:25:40,058] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4156 
2022-11-23T01:30:20.1261801Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_301)
2022-11-23T01:30:20.1261888Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1261981Z                4 LOAD_DEREF               0 (weight)
2022-11-23T01:30:20.1262069Z                6 CALL_FUNCTION            2
2022-11-23T01:30:20.1262159Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1262233Z               10 RETURN_VALUE
2022-11-23T01:30:20.1262238Z 
2022-11-23T01:30:20.1262297Z  
2022-11-23T01:30:20.1262478Z [2022-11-23 01:25:40,059] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1262536Z  - 
2022-11-23T01:30:20.1262655Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:20.1262718Z             {
2022-11-23T01:30:20.1262858Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1262962Z                 'code': None,
2022-11-23T01:30:20.1263215Z                 'obj_weakref': <weakref at 0x7ff57f913600; to 'Tensor' at 0x7ff59c0c7880>
2022-11-23T01:30:20.1263467Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1263519Z             }
2022-11-23T01:30:20.1263581Z             
2022-11-23T01:30:20.1263648Z  - 
2022-11-23T01:30:20.1263777Z             local 'train' CONSTANT_MATCH
2022-11-23T01:30:20.1263839Z             {
2022-11-23T01:30:20.1263971Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1264136Z                 'code': ['___check_obj_id(train, 94571819132640)'],
2022-11-23T01:30:20.1264242Z                 'obj_weakref': None
2022-11-23T01:30:20.1264458Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:20.1264547Z             }
2022-11-23T01:30:20.1264609Z             
2022-11-23T01:30:20.1264678Z  - 
2022-11-23T01:30:20.1264804Z             local 'weight' TENSOR_MATCH
2022-11-23T01:30:20.1264854Z             {
2022-11-23T01:30:20.1264997Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1265101Z                 'code': None,
2022-11-23T01:30:20.1265314Z                 'obj_weakref': <weakref at 0x7ff57f924590; to 'Tensor' at 0x7ff58f9deac0>
2022-11-23T01:30:20.1265566Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1265631Z             }
2022-11-23T01:30:20.1265693Z             
2022-11-23T01:30:20.1265759Z  - 
2022-11-23T01:30:20.1265870Z             global 'F' FUNCTION_MATCH
2022-11-23T01:30:20.1265933Z             {
2022-11-23T01:30:20.1266050Z                 'guard_types': None,
2022-11-23T01:30:20.1266154Z                 'code': None,
2022-11-23T01:30:20.1266269Z                 'obj_weakref': None
2022-11-23T01:30:20.1266387Z                 'guarded_class': None
2022-11-23T01:30:20.1266436Z             }
2022-11-23T01:30:20.1266497Z             
2022-11-23T01:30:20.1266762Z [2022-11-23 01:25:40,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 294
2022-11-23T01:30:20.1267018Z [2022-11-23 01:25:40,091] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:30:20.1267388Z [2022-11-23 01:25:41,566] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pb/cpbojlk2aq7wxgypgipn5xqjxluiyxwrszdveljd4ozybnnhzekx.py
2022-11-23T01:30:20.1267648Z [2022-11-23 01:25:41,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 294
2022-11-23T01:30:20.1267901Z [2022-11-23 01:25:41,568] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 294
2022-11-23T01:30:20.1267906Z 
2022-11-23T01:30:20.1267999Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1268057Z import torch
2022-11-23T01:30:20.1268125Z import random
2022-11-23T01:30:20.1268239Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1268361Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1268365Z 
2022-11-23T01:30:20.1268440Z aten = torch.ops.aten
2022-11-23T01:30:20.1268574Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1268664Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1268669Z 
2022-11-23T01:30:20.1268674Z 
2022-11-23T01:30:20.1268792Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1268996Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1269113Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1269215Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1269311Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1269372Z {
2022-11-23T01:30:20.1269470Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1269531Z     {
2022-11-23T01:30:20.1269594Z         #pragma omp for 
2022-11-23T01:30:20.1269674Z         for(long i0=0; i0<12500; i0+=1)
2022-11-23T01:30:20.1269765Z         {
2022-11-23T01:30:20.1269906Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.1270033Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.1270119Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.1270209Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.1270261Z         }
2022-11-23T01:30:20.1270355Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.1270445Z         for(long i0=100000; i0<100000; i0+=1)
2022-11-23T01:30:20.1270509Z         {
2022-11-23T01:30:20.1270593Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1270675Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.1270757Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.1270853Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.1270918Z         }
2022-11-23T01:30:20.1270982Z     }
2022-11-23T01:30:20.1271047Z }
2022-11-23T01:30:20.1271127Z ''')
2022-11-23T01:30:20.1271134Z 
2022-11-23T01:30:20.1271138Z 
2022-11-23T01:30:20.1271228Z async_compile.wait(globals())
2022-11-23T01:30:20.1271300Z del async_compile
2022-11-23T01:30:20.1271305Z 
2022-11-23T01:30:20.1271363Z def call(args):
2022-11-23T01:30:20.1271450Z     primals_1, primals_2 = args
2022-11-23T01:30:20.1271523Z     args.clear()
2022-11-23T01:30:20.1271724Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1271900Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1271975Z     del primals_2
2022-11-23T01:30:20.1272060Z     return (buf0, primals_1, )
2022-11-23T01:30:20.1272065Z 
2022-11-23T01:30:20.1272070Z 
2022-11-23T01:30:20.1272146Z if __name__ == "__main__":
2022-11-23T01:30:20.1272249Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1272371Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1272583Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1272786Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1272911Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:30:20.1272917Z 
2022-11-23T01:30:20.1272921Z 
2022-11-23T01:30:20.1273014Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1273085Z import torch
2022-11-23T01:30:20.1273142Z import random
2022-11-23T01:30:20.1273255Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1273375Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1273380Z 
2022-11-23T01:30:20.1273458Z aten = torch.ops.aten
2022-11-23T01:30:20.1273591Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1273685Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1273690Z 
2022-11-23T01:30:20.1273694Z 
2022-11-23T01:30:20.1273903Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1274111Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1274230Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1274320Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1274420Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1274483Z {
2022-11-23T01:30:20.1274579Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1274643Z     {
2022-11-23T01:30:20.1274720Z         #pragma omp for 
2022-11-23T01:30:20.1274791Z         for(long i0=0; i0<12500; i0+=1)
2022-11-23T01:30:20.1274852Z         {
2022-11-23T01:30:20.1274985Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.1275117Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.1275205Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.1275294Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.1275354Z         }
2022-11-23T01:30:20.1275481Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.1275561Z         for(long i0=100000; i0<100000; i0+=1)
2022-11-23T01:30:20.1275622Z         {
2022-11-23T01:30:20.1275705Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1275788Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.1275873Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.1275951Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.1276011Z         }
2022-11-23T01:30:20.1276060Z     }
2022-11-23T01:30:20.1276118Z }
2022-11-23T01:30:20.1276199Z ''')
2022-11-23T01:30:20.1276204Z 
2022-11-23T01:30:20.1276208Z 
2022-11-23T01:30:20.1276299Z async_compile.wait(globals())
2022-11-23T01:30:20.1276371Z del async_compile
2022-11-23T01:30:20.1276376Z 
2022-11-23T01:30:20.1276443Z def call(args):
2022-11-23T01:30:20.1276560Z     primals_1, tangents_1 = args
2022-11-23T01:30:20.1276618Z     args.clear()
2022-11-23T01:30:20.1276822Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1276997Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1277067Z     del primals_1
2022-11-23T01:30:20.1277135Z     del tangents_1
2022-11-23T01:30:20.1277211Z     return (None, buf0, )
2022-11-23T01:30:20.1277216Z 
2022-11-23T01:30:20.1277220Z 
2022-11-23T01:30:20.1277292Z if __name__ == "__main__":
2022-11-23T01:30:20.1277391Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1277510Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1277714Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1277917Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1278044Z     print_performance(lambda: call([primals_1, tangents_1]))
2022-11-23T01:30:20.1278049Z 
2022-11-23T01:30:20.1278053Z 
2022-11-23T01:30:20.1278145Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1278213Z import torch
2022-11-23T01:30:20.1278279Z import random
2022-11-23T01:30:20.1278381Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1278499Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1278503Z 
2022-11-23T01:30:20.1278581Z aten = torch.ops.aten
2022-11-23T01:30:20.1278714Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1278802Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1278960Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:30:20.1278965Z 
2022-11-23T01:30:20.1278969Z 
2022-11-23T01:30:20.1279099Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1279301Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1279414Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:30:20.1279505Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1279608Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.1279703Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1279762Z {
2022-11-23T01:30:20.1279857Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1279916Z     {
2022-11-23T01:30:20.1279990Z         #pragma omp for 
2022-11-23T01:30:20.1280064Z         for(long i0=0; i0<100000; i0+=1)
2022-11-23T01:30:20.1280124Z         {
2022-11-23T01:30:20.1280187Z             {
2022-11-23T01:30:20.1280250Z                 {
2022-11-23T01:30:20.1280335Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:20.1280425Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:30:20.1280503Z                     auto tmp7 = in_ptr2[i0];
2022-11-23T01:30:20.1280602Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:20.1280738Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:30:20.1280874Z                     auto tmp3 = static_cast<float>(0.33);
2022-11-23T01:30:20.1280965Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:30:20.1281068Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:30:20.1281163Z                     auto tmp8 = tmp6 * tmp7;
2022-11-23T01:30:20.1281250Z                     auto tmp9 = tmp5 * tmp8;
2022-11-23T01:30:20.1281349Z                     auto tmp10 = static_cast<float>(1.492537313432836);
2022-11-23T01:30:20.1281440Z                     auto tmp11 = tmp9 * tmp10;
2022-11-23T01:30:20.1281523Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:30:20.1281588Z                 }
2022-11-23T01:30:20.1281651Z             }
2022-11-23T01:30:20.1281711Z         }
2022-11-23T01:30:20.1281771Z     }
2022-11-23T01:30:20.1281818Z }
2022-11-23T01:30:20.1281896Z ''')
2022-11-23T01:30:20.1281927Z 
2022-11-23T01:30:20.1281931Z 
2022-11-23T01:30:20.1282019Z async_compile.wait(globals())
2022-11-23T01:30:20.1282089Z del async_compile
2022-11-23T01:30:20.1282094Z 
2022-11-23T01:30:20.1282163Z def call(args):
2022-11-23T01:30:20.1282248Z     primals_1, primals_2 = args
2022-11-23T01:30:20.1282319Z     args.clear()
2022-11-23T01:30:20.1282437Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:30:20.1282633Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1282841Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1282914Z     del primals_2
2022-11-23T01:30:20.1283026Z     return (buf0, primals_1, seed_cpu_None.clone(), )
2022-11-23T01:30:20.1283032Z 
2022-11-23T01:30:20.1283036Z 
2022-11-23T01:30:20.1283107Z if __name__ == "__main__":
2022-11-23T01:30:20.1283220Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1283342Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1283523Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1283728Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1283924Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1284049Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:30:20.1284053Z 
2022-11-23T01:30:20.1284424Z [2022-11-23 01:25:42,979] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cn/ccnvvjcfforziinitmjelq6lm35yirsryxg6qgeyswtrlb2ogxtg.py
2022-11-23T01:30:20.1284689Z [2022-11-23 01:25:42,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 294
2022-11-23T01:30:20.1284694Z 
2022-11-23T01:30:20.1284784Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1284853Z import torch
2022-11-23T01:30:20.1284923Z import random
2022-11-23T01:30:20.1285023Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1285141Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1285148Z 
2022-11-23T01:30:20.1285224Z aten = torch.ops.aten
2022-11-23T01:30:20.1285356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1285443Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1285448Z 
2022-11-23T01:30:20.1285452Z 
2022-11-23T01:30:20.1285583Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1285786Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1285901Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.1285992Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1286092Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.1286187Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1286250Z {
2022-11-23T01:30:20.1286346Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1286406Z     {
2022-11-23T01:30:20.1286480Z         #pragma omp for 
2022-11-23T01:30:20.1286580Z         for(long i0=0; i0<100000; i0+=1)
2022-11-23T01:30:20.1286643Z         {
2022-11-23T01:30:20.1286705Z             {
2022-11-23T01:30:20.1286768Z                 {
2022-11-23T01:30:20.1286858Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.1286946Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:30:20.1287036Z                     auto tmp10 = in_ptr2[i0];
2022-11-23T01:30:20.1287124Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:20.1287256Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:30:20.1287359Z                     auto tmp3 = static_cast<float>(0.33);
2022-11-23T01:30:20.1287449Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:30:20.1287552Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:30:20.1287669Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:30:20.1287782Z                     auto tmp8 = static_cast<float>(1.492537313432836);
2022-11-23T01:30:20.1287861Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:30:20.1287951Z                     auto tmp11 = tmp9 * tmp10;
2022-11-23T01:30:20.1288036Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:30:20.1288099Z                 }
2022-11-23T01:30:20.1288163Z             }
2022-11-23T01:30:20.1288223Z         }
2022-11-23T01:30:20.1288282Z     }
2022-11-23T01:30:20.1288328Z }
2022-11-23T01:30:20.1288404Z ''')
2022-11-23T01:30:20.1288409Z 
2022-11-23T01:30:20.1288413Z 
2022-11-23T01:30:20.1288501Z async_compile.wait(globals())
2022-11-23T01:30:20.1288571Z del async_compile
2022-11-23T01:30:20.1288576Z 
2022-11-23T01:30:20.1288643Z def call(args):
2022-11-23T01:30:20.1288750Z     primals_1, philox_seed_like, tangents_1 = args
2022-11-23T01:30:20.1288821Z     args.clear()
2022-11-23T01:30:20.1289009Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1289222Z     kernel_cpp_0(c_void_p(philox_seed_like.data_ptr()), c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1289300Z     del philox_seed_like
2022-11-23T01:30:20.1289370Z     del primals_1
2022-11-23T01:30:20.1289440Z     del tangents_1
2022-11-23T01:30:20.1289515Z     return (None, buf0, )
2022-11-23T01:30:20.1289520Z 
2022-11-23T01:30:20.1289524Z 
2022-11-23T01:30:20.1289595Z if __name__ == "__main__":
2022-11-23T01:30:20.1289709Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1289817Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1290021Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1290220Z     philox_seed_like = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1290423Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1290567Z     print_performance(lambda: call([primals_1, philox_seed_like, tangents_1]))
2022-11-23T01:30:20.1290574Z 
2022-11-23T01:30:20.1290639Z ok (4.407s)
2022-11-23T01:30:20.1290955Z   test_lowmem_dropout2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:42,991] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1291272Z [2022-11-23 01:25:42,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4212
2022-11-23T01:30:20.1291480Z [2022-11-23 01:25:42,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF m []
2022-11-23T01:30:20.1291709Z [2022-11-23 01:25:42,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:30:20.1291982Z [2022-11-23 01:25:42,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:30:20.1292229Z [2022-11-23 01:25:42,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1292497Z [2022-11-23 01:25:43,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1292737Z [2022-11-23 01:25:43,001] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.1292968Z [2022-11-23 01:25:43,008] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.1293153Z [2022-11-23 01:25:43,008] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1293286Z  __compiled_fn_302 <eval_with_key>.2624 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1293355Z placeholder, x, x, (), {}
2022-11-23T01:30:20.1293436Z call_module, m_0, m_0, (x,), {}
2022-11-23T01:30:20.1293518Z call_module, m_1, m_1, (m_0,), {}
2022-11-23T01:30:20.1293598Z call_module, m_2, m_2, (m_1,), {}
2022-11-23T01:30:20.1293704Z call_module, m_3, m_3, (m_2,), {}
2022-11-23T01:30:20.1293795Z output, output, output, ((m_3,),), {}
2022-11-23T01:30:20.1293800Z 
2022-11-23T01:30:20.1294130Z [2022-11-23 01:25:43,008] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 
2022-11-23T01:30:20.1294221Z 4212           0 LOAD_DEREF               0 (m)
2022-11-23T01:30:20.1294300Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1294388Z                4 CALL_FUNCTION            1
2022-11-23T01:30:20.1294460Z                6 RETURN_VALUE
2022-11-23T01:30:20.1294465Z 
2022-11-23T01:30:20.1294527Z  
2022-11-23T01:30:20.1294848Z [2022-11-23 01:25:43,008] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4210 
2022-11-23T01:30:20.1294953Z 4210           0 LOAD_GLOBAL              0 (__compiled_fn_302)
2022-11-23T01:30:20.1295038Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1295129Z                4 CALL_FUNCTION            1
2022-11-23T01:30:20.1295208Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1295283Z                8 RETURN_VALUE
2022-11-23T01:30:20.1295289Z 
2022-11-23T01:30:20.1295346Z  
2022-11-23T01:30:20.1295526Z [2022-11-23 01:25:43,009] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1295593Z  - 
2022-11-23T01:30:20.1295705Z             local 'm' NN_MODULE
2022-11-23T01:30:20.1295770Z             {
2022-11-23T01:30:20.1295894Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1296052Z                 'code': ['___check_obj_id(m, 140695482311024)'],
2022-11-23T01:30:20.1296272Z                 'obj_weakref': <weakref at 0x7ff57f9242c0; to 'Sequential' at 0x7ff6383ea170>
2022-11-23T01:30:20.1296631Z                 'guarded_class': <weakref at 0x7ff5aeea3740; to 'type' at 0x56033c46ae20 (Sequential)>
2022-11-23T01:30:20.1296695Z             }
2022-11-23T01:30:20.1296757Z             
2022-11-23T01:30:20.1296830Z  - 
2022-11-23T01:30:20.1296937Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:20.1296999Z             {
2022-11-23T01:30:20.1297141Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1297250Z                 'code': None,
2022-11-23T01:30:20.1297460Z                 'obj_weakref': <weakref at 0x7ff57f9449a0; to 'Tensor' at 0x7ff59c05eb60>
2022-11-23T01:30:20.1297709Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1297771Z             }
2022-11-23T01:30:20.1297821Z             
2022-11-23T01:30:20.1297888Z  - 
2022-11-23T01:30:20.1298026Z             local_nn_module 'm[0]' NN_MODULE
2022-11-23T01:30:20.1298089Z             {
2022-11-23T01:30:20.1298207Z                 'guard_types': None,
2022-11-23T01:30:20.1298310Z                 'code': None,
2022-11-23T01:30:20.1298425Z                 'obj_weakref': None
2022-11-23T01:30:20.1298533Z                 'guarded_class': None
2022-11-23T01:30:20.1298597Z             }
2022-11-23T01:30:20.1298658Z             
2022-11-23T01:30:20.1298725Z  - 
2022-11-23T01:30:20.1298861Z             local_nn_module 'm[1]' NN_MODULE
2022-11-23T01:30:20.1298970Z             {
2022-11-23T01:30:20.1299078Z                 'guard_types': None,
2022-11-23T01:30:20.1299181Z                 'code': None,
2022-11-23T01:30:20.1299296Z                 'obj_weakref': None
2022-11-23T01:30:20.1299413Z                 'guarded_class': None
2022-11-23T01:30:20.1299476Z             }
2022-11-23T01:30:20.1299537Z             
2022-11-23T01:30:20.1299605Z  - 
2022-11-23T01:30:20.1299727Z             local_nn_module 'm[2]' NN_MODULE
2022-11-23T01:30:20.1299788Z             {
2022-11-23T01:30:20.1299904Z                 'guard_types': None,
2022-11-23T01:30:20.1300010Z                 'code': None,
2022-11-23T01:30:20.1300124Z                 'obj_weakref': None
2022-11-23T01:30:20.1300241Z                 'guarded_class': None
2022-11-23T01:30:20.1300302Z             }
2022-11-23T01:30:20.1300384Z             
2022-11-23T01:30:20.1300452Z  - 
2022-11-23T01:30:20.1300584Z             local_nn_module 'm[3]' NN_MODULE
2022-11-23T01:30:20.1300648Z             {
2022-11-23T01:30:20.1300765Z                 'guard_types': None,
2022-11-23T01:30:20.1300866Z                 'code': None,
2022-11-23T01:30:20.1300980Z                 'obj_weakref': None
2022-11-23T01:30:20.1301085Z                 'guarded_class': None
2022-11-23T01:30:20.1301144Z             }
2022-11-23T01:30:20.1301205Z             
2022-11-23T01:30:20.1301463Z [2022-11-23 01:25:43,062] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 295
2022-11-23T01:30:20.1301716Z [2022-11-23 01:25:43,064] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:30:20.1302082Z [2022-11-23 01:25:44,593] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ku/ckuhtnmsytsgm66lllreummitqtlw2c4howl5fwejho3zhrvu7py.py
2022-11-23T01:30:20.1302343Z [2022-11-23 01:25:44,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 295
2022-11-23T01:30:20.1302596Z [2022-11-23 01:25:44,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 295
2022-11-23T01:30:20.1302947Z [2022-11-23 01:25:46,404] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vf/cvfnffktomt6pcfwj2hu7y5c75nyx6web6y6uyc6jmf5lza6whlz.py
2022-11-23T01:30:20.1303208Z [2022-11-23 01:25:46,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 295
2022-11-23T01:30:20.1303214Z 
2022-11-23T01:30:20.1303309Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1303379Z import torch
2022-11-23T01:30:20.1303448Z import random
2022-11-23T01:30:20.1303562Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1303682Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1303687Z 
2022-11-23T01:30:20.1303765Z aten = torch.ops.aten
2022-11-23T01:30:20.1303887Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1303979Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1304144Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:30:20.1304149Z 
2022-11-23T01:30:20.1304153Z 
2022-11-23T01:30:20.1304288Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1304492Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1304608Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.1304708Z                        const long* __restrict__ seed0,
2022-11-23T01:30:20.1304807Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:30:20.1304856Z {
2022-11-23T01:30:20.1304953Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1305014Z     {
2022-11-23T01:30:20.1305091Z         #pragma omp for 
2022-11-23T01:30:20.1305174Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:20.1305240Z         {
2022-11-23T01:30:20.1305305Z             {
2022-11-23T01:30:20.1305357Z                 {
2022-11-23T01:30:20.1305444Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:20.1305586Z                     auto tmp7 = in_out_ptr0[i0];
2022-11-23T01:30:20.1305691Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:30:20.1305782Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:30:20.1305881Z                     auto tmp3 = static_cast<int>(i0);
2022-11-23T01:30:20.1306019Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:30:20.1306112Z                     auto tmp5 = static_cast<float>(0.5);
2022-11-23T01:30:20.1306203Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:30:20.1306312Z                     auto tmp8 = static_cast<float>(tmp6);
2022-11-23T01:30:20.1306403Z                     auto tmp9 = tmp8 / tmp5;
2022-11-23T01:30:20.1306495Z                     auto tmp10 = tmp7 * tmp9;
2022-11-23T01:30:20.1306606Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:30:20.1306694Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:30:20.1306747Z                 }
2022-11-23T01:30:20.1306812Z             }
2022-11-23T01:30:20.1306876Z         }
2022-11-23T01:30:20.1306937Z     }
2022-11-23T01:30:20.1306999Z }
2022-11-23T01:30:20.1307077Z ''')
2022-11-23T01:30:20.1307082Z 
2022-11-23T01:30:20.1307086Z 
2022-11-23T01:30:20.1307222Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:30:20.1307416Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1307532Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.1307635Z                        const long* __restrict__ seed0,
2022-11-23T01:30:20.1307733Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:30:20.1307795Z {
2022-11-23T01:30:20.1307893Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1307954Z     {
2022-11-23T01:30:20.1308021Z         #pragma omp for 
2022-11-23T01:30:20.1308103Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:20.1308165Z         {
2022-11-23T01:30:20.1308229Z             {
2022-11-23T01:30:20.1308296Z                 {
2022-11-23T01:30:20.1308379Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:20.1308477Z                     auto tmp7 = in_out_ptr0[i0];
2022-11-23T01:30:20.1308569Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:30:20.1308657Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:30:20.1308764Z                     auto tmp3 = static_cast<int>(256 + i0);
2022-11-23T01:30:20.1308899Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:30:20.1309002Z                     auto tmp5 = static_cast<float>(0.5);
2022-11-23T01:30:20.1309093Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:30:20.1309198Z                     auto tmp8 = static_cast<float>(tmp6);
2022-11-23T01:30:20.1309277Z                     auto tmp9 = tmp8 / tmp5;
2022-11-23T01:30:20.1309366Z                     auto tmp10 = tmp7 * tmp9;
2022-11-23T01:30:20.1309449Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:30:20.1309535Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:30:20.1309600Z                 }
2022-11-23T01:30:20.1309662Z             }
2022-11-23T01:30:20.1309722Z         }
2022-11-23T01:30:20.1309771Z     }
2022-11-23T01:30:20.1309828Z }
2022-11-23T01:30:20.1309904Z ''')
2022-11-23T01:30:20.1309910Z 
2022-11-23T01:30:20.1309914Z 
2022-11-23T01:30:20.1309999Z async_compile.wait(globals())
2022-11-23T01:30:20.1310071Z del async_compile
2022-11-23T01:30:20.1310075Z 
2022-11-23T01:30:20.1310145Z def call(args):
2022-11-23T01:30:20.1310243Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:30:20.1310302Z     args.clear()
2022-11-23T01:30:20.1310432Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:30:20.1310630Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1310764Z     aten.mm.out(primals_3, as_strided(primals_1, (32, 32), (1, 32)), out=buf0)
2022-11-23T01:30:20.1310836Z     del primals_1
2022-11-23T01:30:20.1311058Z     buf1 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.1311145Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:30:20.1311313Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1311495Z     buf3 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1311617Z     aten.mm.out(buf2, as_strided(primals_2, (32, 32), (1, 32)), out=buf3)
2022-11-23T01:30:20.1311802Z     buf4 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.1311884Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:30:20.1312052Z     kernel_cpp_1(c_void_p(buf5.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:20.1312219Z     return (buf5, primals_3, buf1, buf2, buf4, as_strided(primals_2, (32, 32), (32, 1)), )
2022-11-23T01:30:20.1312224Z 
2022-11-23T01:30:20.1312229Z 
2022-11-23T01:30:20.1312304Z if __name__ == "__main__":
2022-11-23T01:30:20.1312415Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1312524Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1312717Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1312920Z     primals_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1313117Z     primals_2 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1313316Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1313452Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:30:20.1313457Z 
2022-11-23T01:30:20.1313462Z 
2022-11-23T01:30:20.1313554Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1313624Z import torch
2022-11-23T01:30:20.1313681Z import random
2022-11-23T01:30:20.1313856Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1313982Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1313987Z 
2022-11-23T01:30:20.1314064Z aten = torch.ops.aten
2022-11-23T01:30:20.1314196Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1314285Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1314290Z 
2022-11-23T01:30:20.1314294Z 
2022-11-23T01:30:20.1314426Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1314629Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1314745Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1314835Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:30:20.1314932Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1314995Z {
2022-11-23T01:30:20.1315091Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1315152Z     {
2022-11-23T01:30:20.1315227Z         #pragma omp for 
2022-11-23T01:30:20.1315298Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:20.1315360Z         {
2022-11-23T01:30:20.1315422Z             {
2022-11-23T01:30:20.1315486Z                 {
2022-11-23T01:30:20.1315577Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1315666Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.1315770Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:20.1315860Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:30:20.1315947Z                     auto tmp4 = tmp2 / tmp3;
2022-11-23T01:30:20.1316035Z                     auto tmp5 = tmp0 * tmp4;
2022-11-23T01:30:20.1316118Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:30:20.1316181Z                 }
2022-11-23T01:30:20.1316243Z             }
2022-11-23T01:30:20.1316308Z         }
2022-11-23T01:30:20.1316357Z     }
2022-11-23T01:30:20.1316415Z }
2022-11-23T01:30:20.1316491Z ''')
2022-11-23T01:30:20.1316496Z 
2022-11-23T01:30:20.1316500Z 
2022-11-23T01:30:20.1316667Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:30:20.1316873Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1316986Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.1317086Z                        const bool* __restrict__ in_ptr0)
2022-11-23T01:30:20.1317144Z {
2022-11-23T01:30:20.1317229Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1317286Z     {
2022-11-23T01:30:20.1317361Z         #pragma omp for 
2022-11-23T01:30:20.1317441Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:30:20.1317502Z         {
2022-11-23T01:30:20.1317563Z             {
2022-11-23T01:30:20.1317615Z                 {
2022-11-23T01:30:20.1317710Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:20.1317825Z                     auto tmp1 = in_ptr0[i0];
2022-11-23T01:30:20.1317931Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:20.1318037Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:30:20.1318125Z                     auto tmp4 = tmp2 / tmp3;
2022-11-23T01:30:20.1318214Z                     auto tmp5 = tmp0 * tmp4;
2022-11-23T01:30:20.1318291Z                     in_out_ptr0[i0] = tmp5;
2022-11-23T01:30:20.1318353Z                 }
2022-11-23T01:30:20.1318414Z             }
2022-11-23T01:30:20.1318477Z         }
2022-11-23T01:30:20.1318540Z     }
2022-11-23T01:30:20.1318600Z }
2022-11-23T01:30:20.1318675Z ''')
2022-11-23T01:30:20.1318680Z 
2022-11-23T01:30:20.1318684Z 
2022-11-23T01:30:20.1318760Z async_compile.wait(globals())
2022-11-23T01:30:20.1318830Z del async_compile
2022-11-23T01:30:20.1318834Z 
2022-11-23T01:30:20.1318902Z def call(args):
2022-11-23T01:30:20.1319018Z     primals_3, lt, mul, lt_1, permute_4, tangents_1 = args
2022-11-23T01:30:20.1319089Z     args.clear()
2022-11-23T01:30:20.1319284Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1319450Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(lt_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1319514Z     del lt_1
2022-11-23T01:30:20.1319572Z     del tangents_1
2022-11-23T01:30:20.1319769Z     buf1 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1319884Z     aten.mm.out(as_strided(buf0, (32, 8), (1, 32)), mul, out=buf1)
2022-11-23T01:30:20.1319948Z     del mul
2022-11-23T01:30:20.1320138Z     buf2 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1320236Z     aten.mm.out(buf0, permute_4, out=buf2)
2022-11-23T01:30:20.1320298Z     del buf0
2022-11-23T01:30:20.1320356Z     del permute_4
2022-11-23T01:30:20.1320437Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:30:20.1320565Z     kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(lt.data_ptr()))
2022-11-23T01:30:20.1320630Z     del lt
2022-11-23T01:30:20.1320822Z     buf4 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1320948Z     aten.mm.out(as_strided(buf3, (32, 8), (1, 32)), primals_3, out=buf4)
2022-11-23T01:30:20.1321011Z     del buf3
2022-11-23T01:30:20.1321069Z     del primals_3
2022-11-23T01:30:20.1321197Z     return (as_strided(buf4, (32, 32), (32, 1)), as_strided(buf1, (32, 32), (32, 1)), None, )
2022-11-23T01:30:20.1321202Z 
2022-11-23T01:30:20.1321206Z 
2022-11-23T01:30:20.1321278Z if __name__ == "__main__":
2022-11-23T01:30:20.1321388Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1321508Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1321709Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1321891Z     lt = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.1322079Z     mul = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1322253Z     lt_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.1322481Z     permute_4 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1322678Z     tangents_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1322828Z     print_performance(lambda: call([primals_3, lt, mul, lt_1, permute_4, tangents_1]))
2022-11-23T01:30:20.1322833Z 
2022-11-23T01:30:20.1322898Z ok (3.418s)
2022-11-23T01:30:20.1323211Z   test_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:25:46,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1323531Z [2022-11-23 01:25:46,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1323743Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1324021Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1324286Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1324600Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1324945Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1325266Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1325637Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f4c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456> 
2022-11-23T01:30:20.1325732Z  2457           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1325837Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:30:20.1325928Z                4 LOAD_FAST                1 (value)
2022-11-23T01:30:20.1326017Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:30:20.1326149Z                8 LOAD_CONST               1 (-10000.0)
2022-11-23T01:30:20.1326235Z               10 CALL_METHOD              3
2022-11-23T01:30:20.1326325Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1326396Z               14 BINARY_ADD
2022-11-23T01:30:20.1326487Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1326584Z               18 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:30:20.1326589Z 
2022-11-23T01:30:20.1326679Z 2458          20 LOAD_FAST                1 (value)
2022-11-23T01:30:20.1326767Z               22 LOAD_CONST               3 (2.0)
2022-11-23T01:30:20.1326839Z               24 BINARY_TRUE_DIVIDE
2022-11-23T01:30:20.1326930Z               26 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:20.1327029Z               28 LOAD_METHOD              3 (logical_not)
2022-11-23T01:30:20.1327117Z               30 LOAD_FAST                0 (mask)
2022-11-23T01:30:20.1327202Z               32 CALL_METHOD              1
2022-11-23T01:30:20.1327289Z               34 LOAD_CONST               4 (667)
2022-11-23T01:30:20.1327294Z 
2022-11-23T01:30:20.1327379Z 2457          36 CALL_METHOD              3
2022-11-23T01:30:20.1327455Z               38 BUILD_TUPLE              2
2022-11-23T01:30:20.1327529Z               40 RETURN_VALUE
2022-11-23T01:30:20.1327589Z  
2022-11-23T01:30:20.1327593Z 
2022-11-23T01:30:20.1327909Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T01:30:20.1328128Z [2022-11-23 01:25:46,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1328474Z [2022-11-23 01:25:46,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1328739Z [2022-11-23 01:25:46,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:30:20.1329031Z [2022-11-23 01:25:46,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:30:20.1329354Z [2022-11-23 01:25:46,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10000.0 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1329712Z [2022-11-23 01:25:46,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.1329937Z [2022-11-23 01:25:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.1330245Z [2022-11-23 01:25:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1330487Z [2022-11-23 01:25:46,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.1330828Z [2022-11-23 01:25:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1331138Z [2022-11-23 01:25:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2458
2022-11-23T01:30:20.1331427Z [2022-11-23 01:25:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TensorVariable(), TorchVariable(aten.masked_fill)]
2022-11-23T01:30:20.1331742Z [2022-11-23 01:25:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:30:20.1332122Z [2022-11-23 01:25:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.1332443Z [2022-11-23 01:25:46,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:30:20.1332928Z [2022-11-23 01:25:46,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1333369Z [2022-11-23 01:25:46,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1333843Z [2022-11-23 01:25:46,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1334176Z [2022-11-23 01:25:46,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 667 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1334486Z [2022-11-23 01:25:46,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2457
2022-11-23T01:30:20.1334872Z [2022-11-23 01:25:46,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1335137Z [2022-11-23 01:25:46,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1335383Z [2022-11-23 01:25:46,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1335810Z [2022-11-23 01:25:46,428] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f4c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2456>
2022-11-23T01:30:20.1336051Z [2022-11-23 01:25:46,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1336282Z [2022-11-23 01:25:46,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1336652Z [2022-11-23 01:25:46,430] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1336902Z [2022-11-23 01:25:46,434] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1337086Z [2022-11-23 01:25:46,435] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1337256Z  __compiled_fn_303 <eval_with_key>.2635 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1337344Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1337433Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1337626Z call_function, masked_fill, aten.masked_fill, (ex_1_, ex_0_, -10000.0), {}
2022-11-23T01:30:20.1337806Z call_function, add, <built-in function add>, (masked_fill, 2), {}
2022-11-23T01:30:20.1337995Z call_function, truediv, <built-in function truediv>, (ex_1_, 2.0), {}
2022-11-23T01:30:20.1338244Z call_function, logical_not, <built-in method logical_not of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.1338373Z call_function, masked_fill_1, aten.masked_fill, (truediv, logical_not, 667), {}
2022-11-23T01:30:20.1338486Z output, output, output, ((add, masked_fill_1),), {}
2022-11-23T01:30:20.1338492Z 
2022-11-23T01:30:20.1338817Z [2022-11-23 01:25:46,435] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1338914Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1339006Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1339092Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1339182Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1339266Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1339343Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1339417Z              12 RETURN_VALUE
2022-11-23T01:30:20.1339423Z 
2022-11-23T01:30:20.1339480Z  
2022-11-23T01:30:20.1339797Z [2022-11-23 01:25:46,435] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1339903Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_303)
2022-11-23T01:30:20.1339992Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1340083Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1340157Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1340233Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1340320Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1340394Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1340481Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.1340586Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1340687Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1340773Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1340836Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1340936Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1341020Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1341094Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.1341179Z              30 BUILD_TUPLE              2
2022-11-23T01:30:20.1341253Z              32 RETURN_VALUE
2022-11-23T01:30:20.1341258Z 
2022-11-23T01:30:20.1341317Z  
2022-11-23T01:30:20.1341486Z [2022-11-23 01:25:46,436] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1341590Z  - 
2022-11-23T01:30:20.1341709Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1341771Z             {
2022-11-23T01:30:20.1341910Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1342097Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.1342214Z                 'obj_weakref': None
2022-11-23T01:30:20.1342435Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1342488Z             }
2022-11-23T01:30:20.1342549Z             
2022-11-23T01:30:20.1342619Z  - 
2022-11-23T01:30:20.1342743Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1342807Z             {
2022-11-23T01:30:20.1342949Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1343068Z                 'code': None,
2022-11-23T01:30:20.1343278Z                 'obj_weakref': <weakref at 0x7ff57f924b30; to 'Tensor' at 0x7ff57f9271f0>
2022-11-23T01:30:20.1343534Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1343600Z             }
2022-11-23T01:30:20.1343662Z             
2022-11-23T01:30:20.1343732Z  - 
2022-11-23T01:30:20.1343854Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1343903Z             {
2022-11-23T01:30:20.1344045Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1344152Z                 'code': None,
2022-11-23T01:30:20.1344363Z                 'obj_weakref': <weakref at 0x7ff57f8b33d0; to 'Tensor' at 0x7ff57f8e3880>
2022-11-23T01:30:20.1344616Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1344679Z             }
2022-11-23T01:30:20.1344746Z             
2022-11-23T01:30:20.1344814Z  - 
2022-11-23T01:30:20.1344932Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1344994Z             {
2022-11-23T01:30:20.1345130Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1345300Z                 'code': ['___check_obj_id(model, 140693063912752)'],
2022-11-23T01:30:20.1345418Z                 'obj_weakref': None
2022-11-23T01:30:20.1345645Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1345708Z             }
2022-11-23T01:30:20.1345773Z             
2022-11-23T01:30:20.1345874Z  - 
2022-11-23T01:30:20.1346054Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1346129Z             {
2022-11-23T01:30:20.1346270Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1346486Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1346592Z                 'obj_weakref': None
2022-11-23T01:30:20.1346814Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1346876Z             }
2022-11-23T01:30:20.1346944Z             
2022-11-23T01:30:20.1347017Z  - 
2022-11-23T01:30:20.1347146Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1347208Z             {
2022-11-23T01:30:20.1347315Z                 'guard_types': None,
2022-11-23T01:30:20.1347419Z                 'code': None,
2022-11-23T01:30:20.1347536Z                 'obj_weakref': None
2022-11-23T01:30:20.1347658Z                 'guarded_class': None
2022-11-23T01:30:20.1347722Z             }
2022-11-23T01:30:20.1347791Z             
2022-11-23T01:30:20.1347862Z  - 
2022-11-23T01:30:20.1347980Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1348042Z             {
2022-11-23T01:30:20.1348160Z                 'guard_types': None,
2022-11-23T01:30:20.1348267Z                 'code': None,
2022-11-23T01:30:20.1348384Z                 'obj_weakref': None
2022-11-23T01:30:20.1348505Z                 'guarded_class': None
2022-11-23T01:30:20.1348575Z             }
2022-11-23T01:30:20.1348625Z             
2022-11-23T01:30:20.1348940Z [2022-11-23 01:25:46,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 296
2022-11-23T01:30:20.1349309Z [2022-11-23 01:25:47,881] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nq/cnqthv4r3yrsivluyatnt66h3gyd7iarfbuhw7ycwb4ubteu4hde.py
2022-11-23T01:30:20.1349570Z [2022-11-23 01:25:47,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 296
2022-11-23T01:30:20.1349575Z 
2022-11-23T01:30:20.1349671Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1349741Z import torch
2022-11-23T01:30:20.1349811Z import random
2022-11-23T01:30:20.1349926Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1350033Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1350038Z 
2022-11-23T01:30:20.1350144Z aten = torch.ops.aten
2022-11-23T01:30:20.1350276Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1350371Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1350379Z 
2022-11-23T01:30:20.1350383Z 
2022-11-23T01:30:20.1350516Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1350722Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1350837Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:30:20.1350941Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1351026Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1351122Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.1351183Z {
2022-11-23T01:30:20.1351281Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1351341Z     {
2022-11-23T01:30:20.1351416Z         #pragma omp for 
2022-11-23T01:30:20.1351496Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.1351549Z         {
2022-11-23T01:30:20.1351627Z             #pragma GCC ivdep
2022-11-23T01:30:20.1351710Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:30:20.1351775Z             {
2022-11-23T01:30:20.1351839Z                 {
2022-11-23T01:30:20.1351903Z                     {
2022-11-23T01:30:20.1351985Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.1352087Z                         auto tmp2 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:30:20.1352253Z                         auto tmp1 = static_cast<float>(-10000.0);
2022-11-23T01:30:20.1352352Z                         auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:30:20.1352456Z                         auto tmp4 = static_cast<float>(2);
2022-11-23T01:30:20.1352550Z                         auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:20.1352639Z                         auto tmp6 = tmp0 == 0;
2022-11-23T01:30:20.1352744Z                         auto tmp7 = static_cast<float>(667.0);
2022-11-23T01:30:20.1352843Z                         auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:30:20.1352933Z                         auto tmp9 = tmp2 / tmp8;
2022-11-23T01:30:20.1353035Z                         auto tmp10 = tmp6 ? tmp7 : tmp9;
2022-11-23T01:30:20.1353130Z                         out_ptr0[i1 + (16*i0)] = tmp5;
2022-11-23T01:30:20.1353222Z                         out_ptr1[i1 + (16*i0)] = tmp10;
2022-11-23T01:30:20.1353286Z                     }
2022-11-23T01:30:20.1353349Z                 }
2022-11-23T01:30:20.1353399Z             }
2022-11-23T01:30:20.1353459Z         }
2022-11-23T01:30:20.1353521Z     }
2022-11-23T01:30:20.1353579Z }
2022-11-23T01:30:20.1353654Z ''')
2022-11-23T01:30:20.1353659Z 
2022-11-23T01:30:20.1353663Z 
2022-11-23T01:30:20.1353751Z async_compile.wait(globals())
2022-11-23T01:30:20.1353891Z del async_compile
2022-11-23T01:30:20.1353897Z 
2022-11-23T01:30:20.1353954Z def call(args):
2022-11-23T01:30:20.1354027Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1354098Z     args.clear()
2022-11-23T01:30:20.1354305Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1354537Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1354731Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1354799Z     del arg0_1
2022-11-23T01:30:20.1354851Z     del arg1_1
2022-11-23T01:30:20.1354927Z     return (buf0, buf1, )
2022-11-23T01:30:20.1354932Z 
2022-11-23T01:30:20.1354936Z 
2022-11-23T01:30:20.1355010Z if __name__ == "__main__":
2022-11-23T01:30:20.1355121Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1355242Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1355432Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.1355628Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1355771Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1355776Z 
2022-11-23T01:30:20.1355829Z ok (1.478s)
2022-11-23T01:30:20.1356152Z   test_masked_fill_promotion_cpu (__main__.CpuTests) ... [2022-11-23 01:25:47,887] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:20.1356467Z [2022-11-23 01:25:47,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471
2022-11-23T01:30:20.1356683Z [2022-11-23 01:25:47,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1356995Z [2022-11-23 01:25:47,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1357259Z [2022-11-23 01:25:47,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:30:20.1357548Z [2022-11-23 01:25:47,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:30:20.1357877Z [2022-11-23 01:25:47,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1358360Z [2022-11-23 01:25:47,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1358798Z [2022-11-23 01:25:47,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1359273Z [2022-11-23 01:25:47,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(float)]
2022-11-23T01:30:20.1359626Z [2022-11-23 01:25:47,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1359871Z [2022-11-23 01:25:47,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1360090Z [2022-11-23 01:25:47,896] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:20.1360329Z [2022-11-23 01:25:47,897] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.1360561Z [2022-11-23 01:25:47,901] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.1360749Z [2022-11-23 01:25:47,901] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1360882Z  __compiled_fn_304 <eval_with_key>.2641 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1360974Z placeholder, mask, mask, (), {}
2022-11-23T01:30:20.1361065Z placeholder, value, value, (), {}
2022-11-23T01:30:20.1361317Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, (3.5,), {}
2022-11-23T01:30:20.1361443Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T01:30:20.1361547Z output, output, output, ((masked_fill,),), {}
2022-11-23T01:30:20.1361552Z 
2022-11-23T01:30:20.1361877Z [2022-11-23 01:25:47,901] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:30:20.1361970Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1362069Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:30:20.1362160Z                4 LOAD_FAST                1 (value)
2022-11-23T01:30:20.1362248Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:30:20.1362368Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:20.1362448Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T01:30:20.1362538Z               12 LOAD_CONST               1 (3.5)
2022-11-23T01:30:20.1362624Z               14 CALL_METHOD              1
2022-11-23T01:30:20.1362712Z               16 CALL_METHOD              3
2022-11-23T01:30:20.1362787Z               18 RETURN_VALUE
2022-11-23T01:30:20.1362792Z 
2022-11-23T01:30:20.1362850Z  
2022-11-23T01:30:20.1363174Z [2022-11-23 01:25:47,901] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:30:20.1363268Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_304)
2022-11-23T01:30:20.1363358Z                2 LOAD_FAST                0 (mask)
2022-11-23T01:30:20.1363446Z                4 LOAD_FAST                1 (value)
2022-11-23T01:30:20.1363533Z                6 CALL_FUNCTION            2
2022-11-23T01:30:20.1363625Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1363698Z               10 RETURN_VALUE
2022-11-23T01:30:20.1363703Z 
2022-11-23T01:30:20.1363761Z  
2022-11-23T01:30:20.1363945Z [2022-11-23 01:25:47,902] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1364001Z  - 
2022-11-23T01:30:20.1364123Z             local 'mask' TENSOR_MATCH
2022-11-23T01:30:20.1364188Z             {
2022-11-23T01:30:20.1364330Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1364434Z                 'code': None,
2022-11-23T01:30:20.1364645Z                 'obj_weakref': <weakref at 0x7ff57ef79350; to 'Tensor' at 0x7ff57f8e3880>
2022-11-23T01:30:20.1364895Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1364946Z             }
2022-11-23T01:30:20.1365006Z             
2022-11-23T01:30:20.1365074Z  - 
2022-11-23T01:30:20.1365196Z             local 'value' TENSOR_MATCH
2022-11-23T01:30:20.1365258Z             {
2022-11-23T01:30:20.1365401Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1365507Z                 'code': None,
2022-11-23T01:30:20.1365706Z                 'obj_weakref': <weakref at 0x7ff57ef784a0; to 'Tensor' at 0x7ff58f95e8e0>
2022-11-23T01:30:20.1365956Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1366019Z             }
2022-11-23T01:30:20.1366080Z             
2022-11-23T01:30:20.1366147Z  - 
2022-11-23T01:30:20.1366275Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1366334Z             {
2022-11-23T01:30:20.1366440Z                 'guard_types': None,
2022-11-23T01:30:20.1366545Z                 'code': None,
2022-11-23T01:30:20.1366661Z                 'obj_weakref': None
2022-11-23T01:30:20.1366779Z                 'guarded_class': None
2022-11-23T01:30:20.1366841Z             }
2022-11-23T01:30:20.1366900Z             
2022-11-23T01:30:20.1366956Z  - 
2022-11-23T01:30:20.1367087Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1367149Z             {
2022-11-23T01:30:20.1367265Z                 'guard_types': None,
2022-11-23T01:30:20.1367409Z                 'code': None,
2022-11-23T01:30:20.1367526Z                 'obj_weakref': None
2022-11-23T01:30:20.1367644Z                 'guarded_class': None
2022-11-23T01:30:20.1367695Z             }
2022-11-23T01:30:20.1367755Z             
2022-11-23T01:30:20.1368016Z [2022-11-23 01:25:47,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 297
2022-11-23T01:30:20.1368384Z [2022-11-23 01:25:49,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oc/cocyx4ro2ba5uxwpptduptzu4nodsy2nflitckglibumx7ucvwi4.py
2022-11-23T01:30:20.1368644Z [2022-11-23 01:25:49,446] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 297
2022-11-23T01:30:20.1368876Z [2022-11-23 01:25:49,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:20.1369222Z [2022-11-23 01:25:49,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2471
2022-11-23T01:30:20.1369439Z [2022-11-23 01:25:49,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1369752Z [2022-11-23 01:25:49,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1370004Z [2022-11-23 01:25:49,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:30:20.1370298Z [2022-11-23 01:25:49,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:30:20.1370621Z [2022-11-23 01:25:49,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1371103Z [2022-11-23 01:25:49,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1371537Z [2022-11-23 01:25:49,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1372011Z [2022-11-23 01:25:49,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(float)]
2022-11-23T01:30:20.1372357Z [2022-11-23 01:25:49,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1372605Z [2022-11-23 01:25:49,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1372836Z [2022-11-23 01:25:49,460] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:20.1373075Z [2022-11-23 01:25:49,461] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.1373311Z [2022-11-23 01:25:49,467] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.1373498Z [2022-11-23 01:25:49,467] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1373621Z  __compiled_fn_305 <eval_with_key>.2647 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1373712Z placeholder, mask, mask, (), {}
2022-11-23T01:30:20.1373807Z placeholder, value, value, (), {}
2022-11-23T01:30:20.1374036Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, (3.5,), {}
2022-11-23T01:30:20.1374174Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T01:30:20.1374279Z output, output, output, ((masked_fill,),), {}
2022-11-23T01:30:20.1374284Z 
2022-11-23T01:30:20.1374633Z [2022-11-23 01:25:49,468] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:30:20.1374728Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1374815Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:30:20.1374904Z                4 LOAD_FAST                1 (value)
2022-11-23T01:30:20.1374992Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:30:20.1375084Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:20.1375173Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T01:30:20.1375259Z               12 LOAD_CONST               1 (3.5)
2022-11-23T01:30:20.1375345Z               14 CALL_METHOD              1
2022-11-23T01:30:20.1375447Z               16 CALL_METHOD              3
2022-11-23T01:30:20.1375520Z               18 RETURN_VALUE
2022-11-23T01:30:20.1375525Z 
2022-11-23T01:30:20.1375582Z  
2022-11-23T01:30:20.1375909Z [2022-11-23 01:25:49,468] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2470 
2022-11-23T01:30:20.1376014Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_305)
2022-11-23T01:30:20.1376100Z                2 LOAD_FAST                0 (mask)
2022-11-23T01:30:20.1376186Z                4 LOAD_FAST                1 (value)
2022-11-23T01:30:20.1376272Z                6 CALL_FUNCTION            2
2022-11-23T01:30:20.1376351Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1376544Z               10 RETURN_VALUE
2022-11-23T01:30:20.1376549Z 
2022-11-23T01:30:20.1376608Z  
2022-11-23T01:30:20.1376794Z [2022-11-23 01:25:49,468] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1376864Z  - 
2022-11-23T01:30:20.1376989Z             local 'mask' TENSOR_MATCH
2022-11-23T01:30:20.1377053Z             {
2022-11-23T01:30:20.1377183Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1377291Z                 'code': None,
2022-11-23T01:30:20.1377503Z                 'obj_weakref': <weakref at 0x7ff57efa0f90; to 'Tensor' at 0x7ff6383f66b0>
2022-11-23T01:30:20.1377757Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1377822Z             }
2022-11-23T01:30:20.1377884Z             
2022-11-23T01:30:20.1377953Z  - 
2022-11-23T01:30:20.1378064Z             local 'value' TENSOR_MATCH
2022-11-23T01:30:20.1378125Z             {
2022-11-23T01:30:20.1378266Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1378371Z                 'code': None,
2022-11-23T01:30:20.1378582Z                 'obj_weakref': <weakref at 0x7ff57efa0ea0; to 'Tensor' at 0x7ff57f8e1260>
2022-11-23T01:30:20.1378832Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1378895Z             }
2022-11-23T01:30:20.1378944Z             
2022-11-23T01:30:20.1379012Z  - 
2022-11-23T01:30:20.1379142Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1379204Z             {
2022-11-23T01:30:20.1379320Z                 'guard_types': None,
2022-11-23T01:30:20.1379422Z                 'code': None,
2022-11-23T01:30:20.1379539Z                 'obj_weakref': None
2022-11-23T01:30:20.1379646Z                 'guarded_class': None
2022-11-23T01:30:20.1379705Z             }
2022-11-23T01:30:20.1379766Z             
2022-11-23T01:30:20.1379833Z  - 
2022-11-23T01:30:20.1379964Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1380025Z             {
2022-11-23T01:30:20.1380141Z                 'guard_types': None,
2022-11-23T01:30:20.1380233Z                 'code': None,
2022-11-23T01:30:20.1380349Z                 'obj_weakref': None
2022-11-23T01:30:20.1380472Z                 'guarded_class': None
2022-11-23T01:30:20.1380532Z             }
2022-11-23T01:30:20.1380592Z             
2022-11-23T01:30:20.1380902Z [2022-11-23 01:25:49,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 298
2022-11-23T01:30:20.1381271Z [2022-11-23 01:25:51,076] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/in/ciniw2o7upueguoy42duvmgc25dsr6gtymefal6xqctwvih42hhh.py
2022-11-23T01:30:20.1381525Z [2022-11-23 01:25:51,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 298
2022-11-23T01:30:20.1381541Z 
2022-11-23T01:30:20.1381621Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1381689Z import torch
2022-11-23T01:30:20.1381757Z import random
2022-11-23T01:30:20.1381873Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1381993Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1381998Z 
2022-11-23T01:30:20.1382075Z aten = torch.ops.aten
2022-11-23T01:30:20.1382241Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1382321Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1382326Z 
2022-11-23T01:30:20.1382332Z 
2022-11-23T01:30:20.1382463Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1382668Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1382786Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:30:20.1382893Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1382991Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1383053Z {
2022-11-23T01:30:20.1383151Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1383200Z     {
2022-11-23T01:30:20.1383276Z         #pragma omp for 
2022-11-23T01:30:20.1383359Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.1383422Z         {
2022-11-23T01:30:20.1383506Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:20.1383571Z             {
2022-11-23T01:30:20.1383662Z                 float g_tmp_buffer_in_ptr0[8] = {0};
2022-11-23T01:30:20.1383786Z                 flag_to_float(in_ptr0 + 8*i1, g_tmp_buffer_in_ptr0, 8);
2022-11-23T01:30:20.1383941Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:30:20.1384079Z                 auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (16*i0));
2022-11-23T01:30:20.1384211Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3.5));
2022-11-23T01:30:20.1384337Z                 auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2022-11-23T01:30:20.1384440Z                 tmp3.store(out_ptr0 + (8*i1) + (16*i0));
2022-11-23T01:30:20.1384503Z             }
2022-11-23T01:30:20.1384584Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.1384672Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:30:20.1384735Z             {
2022-11-23T01:30:20.1384824Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.1384920Z                 auto tmp2 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:30:20.1385022Z                 auto tmp1 = static_cast<float>(3.5);
2022-11-23T01:30:20.1385119Z                 auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:30:20.1385198Z                 out_ptr0[i1 + (16*i0)] = tmp3;
2022-11-23T01:30:20.1385261Z             }
2022-11-23T01:30:20.1385324Z         }
2022-11-23T01:30:20.1385387Z     }
2022-11-23T01:30:20.1385448Z }
2022-11-23T01:30:20.1385528Z ''')
2022-11-23T01:30:20.1385533Z 
2022-11-23T01:30:20.1385537Z 
2022-11-23T01:30:20.1385625Z async_compile.wait(globals())
2022-11-23T01:30:20.1385685Z del async_compile
2022-11-23T01:30:20.1385703Z 
2022-11-23T01:30:20.1385761Z def call(args):
2022-11-23T01:30:20.1385836Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1385908Z     args.clear()
2022-11-23T01:30:20.1386111Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1386274Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1386343Z     del arg0_1
2022-11-23T01:30:20.1386411Z     del arg1_1
2022-11-23T01:30:20.1386495Z     return (buf0, )
2022-11-23T01:30:20.1386501Z 
2022-11-23T01:30:20.1386505Z 
2022-11-23T01:30:20.1386583Z if __name__ == "__main__":
2022-11-23T01:30:20.1386698Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1386821Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1387013Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.1387215Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1387330Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1387335Z 
2022-11-23T01:30:20.1387339Z 
2022-11-23T01:30:20.1387433Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1387491Z import torch
2022-11-23T01:30:20.1387562Z import random
2022-11-23T01:30:20.1387702Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1387820Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1387825Z 
2022-11-23T01:30:20.1387908Z aten = torch.ops.aten
2022-11-23T01:30:20.1388036Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1388125Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1388130Z 
2022-11-23T01:30:20.1388134Z 
2022-11-23T01:30:20.1388268Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1388459Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1388574Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:30:20.1388674Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.1388769Z                        long* __restrict__ out_ptr0)
2022-11-23T01:30:20.1388831Z {
2022-11-23T01:30:20.1388929Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1388991Z     {
2022-11-23T01:30:20.1389055Z         #pragma omp for 
2022-11-23T01:30:20.1389135Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.1389196Z         {
2022-11-23T01:30:20.1389277Z             #pragma GCC ivdep
2022-11-23T01:30:20.1389358Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:30:20.1389418Z             {
2022-11-23T01:30:20.1389480Z                 {
2022-11-23T01:30:20.1389533Z                     {
2022-11-23T01:30:20.1389627Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.1389725Z                         auto tmp3 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:30:20.1389831Z                         auto tmp1 = static_cast<float>(3.5);
2022-11-23T01:30:20.1389935Z                         auto tmp2 = static_cast<long>(tmp1);
2022-11-23T01:30:20.1390035Z                         auto tmp4 = tmp0 ? tmp2 : tmp3;
2022-11-23T01:30:20.1390131Z                         out_ptr0[i1 + (16*i0)] = tmp4;
2022-11-23T01:30:20.1390184Z                     }
2022-11-23T01:30:20.1390249Z                 }
2022-11-23T01:30:20.1390311Z             }
2022-11-23T01:30:20.1390371Z         }
2022-11-23T01:30:20.1390431Z     }
2022-11-23T01:30:20.1390488Z }
2022-11-23T01:30:20.1390553Z ''')
2022-11-23T01:30:20.1390569Z 
2022-11-23T01:30:20.1390573Z 
2022-11-23T01:30:20.1390650Z async_compile.wait(globals())
2022-11-23T01:30:20.1390722Z del async_compile
2022-11-23T01:30:20.1390726Z 
2022-11-23T01:30:20.1390796Z def call(args):
2022-11-23T01:30:20.1390871Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1390939Z     args.clear()
2022-11-23T01:30:20.1391135Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1391298Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1391353Z     del arg0_1
2022-11-23T01:30:20.1391418Z     del arg1_1
2022-11-23T01:30:20.1391486Z     return (buf0, )
2022-11-23T01:30:20.1391491Z 
2022-11-23T01:30:20.1391495Z 
2022-11-23T01:30:20.1391569Z if __name__ == "__main__":
2022-11-23T01:30:20.1391682Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1391802Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1392031Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.1392226Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1392325Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1392330Z 
2022-11-23T01:30:20.1392396Z ok (3.195s)
2022-11-23T01:30:20.1392700Z   test_max_min_cpu (__main__.CpuTests) ... [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1393017Z [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1393233Z [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1393521Z [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1393869Z [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1394189Z [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1394534Z [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1394856Z [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1395219Z [2022-11-23 01:25:51,082] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d198df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682> 
2022-11-23T01:30:20.1395317Z  683           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1395413Z               2 LOAD_METHOD              1 (maximum)
2022-11-23T01:30:20.1395503Z               4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1395592Z               6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1395686Z               8 CALL_METHOD              2
2022-11-23T01:30:20.1395777Z              10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1395871Z              12 LOAD_METHOD              2 (minimum)
2022-11-23T01:30:20.1395945Z              14 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1396031Z              16 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1396115Z              18 CALL_METHOD              2
2022-11-23T01:30:20.1396200Z              20 BUILD_TUPLE              2
2022-11-23T01:30:20.1396273Z              22 RETURN_VALUE
2022-11-23T01:30:20.1396332Z  
2022-11-23T01:30:20.1396337Z 
2022-11-23T01:30:20.1396649Z [2022-11-23 01:25:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:683
2022-11-23T01:30:20.1396855Z [2022-11-23 01:25:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1397219Z [2022-11-23 01:25:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR maximum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1397540Z [2022-11-23 01:25:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method maximum of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1397887Z [2022-11-23 01:25:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method maximum of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1398268Z [2022-11-23 01:25:51,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method maximum of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1398550Z [2022-11-23 01:25:51,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.1398945Z [2022-11-23 01:25:51,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR minimum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1399291Z [2022-11-23 01:25:51,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1399665Z [2022-11-23 01:25:51,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1400074Z [2022-11-23 01:25:51,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1400370Z [2022-11-23 01:25:51,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1400614Z [2022-11-23 01:25:51,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1400985Z [2022-11-23 01:25:51,086] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d198df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 682>
2022-11-23T01:30:20.1401215Z [2022-11-23 01:25:51,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1401445Z [2022-11-23 01:25:51,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1401694Z [2022-11-23 01:25:51,087] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1401941Z [2022-11-23 01:25:51,090] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1402127Z [2022-11-23 01:25:51,090] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1402259Z  __compiled_fn_306 <eval_with_key>.2653 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1402348Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1402435Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1402667Z call_function, maximum, <built-in method maximum of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.1402910Z call_function, minimum, <built-in method minimum of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.1403020Z output, output, output, ((maximum, minimum),), {}
2022-11-23T01:30:20.1403026Z 
2022-11-23T01:30:20.1403347Z [2022-11-23 01:25:51,091] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1403442Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1403531Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1403618Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1403712Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1403784Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1403868Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1403941Z              12 RETURN_VALUE
2022-11-23T01:30:20.1403946Z 
2022-11-23T01:30:20.1404006Z  
2022-11-23T01:30:20.1404320Z [2022-11-23 01:25:51,091] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1404426Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_306)
2022-11-23T01:30:20.1404517Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1404604Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1404668Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1404754Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1404870Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1404945Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1405031Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.1405131Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1405231Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1405306Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1405381Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1405480Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1405567Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1405641Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.1405726Z              30 BUILD_TUPLE              2
2022-11-23T01:30:20.1405797Z              32 RETURN_VALUE
2022-11-23T01:30:20.1405829Z 
2022-11-23T01:30:20.1405877Z  
2022-11-23T01:30:20.1406059Z [2022-11-23 01:25:51,091] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1406127Z  - 
2022-11-23T01:30:20.1406250Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1406312Z             {
2022-11-23T01:30:20.1406450Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1406631Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.1406737Z                 'obj_weakref': None
2022-11-23T01:30:20.1406958Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1407020Z             }
2022-11-23T01:30:20.1407081Z             
2022-11-23T01:30:20.1407149Z  - 
2022-11-23T01:30:20.1407269Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1407330Z             {
2022-11-23T01:30:20.1407458Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1407565Z                 'code': None,
2022-11-23T01:30:20.1407775Z                 'obj_weakref': <weakref at 0x7ff57ef78a90; to 'Tensor' at 0x7ff5a8230bd0>
2022-11-23T01:30:20.1408027Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1408089Z             }
2022-11-23T01:30:20.1408149Z             
2022-11-23T01:30:20.1408214Z  - 
2022-11-23T01:30:20.1408323Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1408384Z             {
2022-11-23T01:30:20.1408526Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1408630Z                 'code': None,
2022-11-23T01:30:20.1408838Z                 'obj_weakref': <weakref at 0x7ff57ef7a570; to 'Tensor' at 0x7ff5a80784a0>
2022-11-23T01:30:20.1409087Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1409148Z             }
2022-11-23T01:30:20.1409198Z             
2022-11-23T01:30:20.1409267Z  - 
2022-11-23T01:30:20.1409395Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1409458Z             {
2022-11-23T01:30:20.1409587Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1409754Z                 'code': ['___check_obj_id(model, 140692657061408)'],
2022-11-23T01:30:20.1409870Z                 'obj_weakref': None
2022-11-23T01:30:20.1410085Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1410146Z             }
2022-11-23T01:30:20.1410207Z             
2022-11-23T01:30:20.1410276Z  - 
2022-11-23T01:30:20.1410394Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1410456Z             {
2022-11-23T01:30:20.1410590Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1410793Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1410908Z                 'obj_weakref': None
2022-11-23T01:30:20.1411125Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1411186Z             }
2022-11-23T01:30:20.1411246Z             
2022-11-23T01:30:20.1411342Z  - 
2022-11-23T01:30:20.1411475Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1411524Z             {
2022-11-23T01:30:20.1411641Z                 'guard_types': None,
2022-11-23T01:30:20.1411744Z                 'code': None,
2022-11-23T01:30:20.1411859Z                 'obj_weakref': None
2022-11-23T01:30:20.1411977Z                 'guarded_class': None
2022-11-23T01:30:20.1412040Z             }
2022-11-23T01:30:20.1412102Z             
2022-11-23T01:30:20.1412348Z [2022-11-23 01:25:51,097] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 299
2022-11-23T01:30:20.1412715Z [2022-11-23 01:25:52,541] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hr/chruuquqtk44sjroop2rl6dlurub33uukugmf5ib23x2acvtvrl5.py
2022-11-23T01:30:20.1413003Z [2022-11-23 01:25:52,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 299
2022-11-23T01:30:20.1413009Z 
2022-11-23T01:30:20.1413104Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1413172Z import torch
2022-11-23T01:30:20.1413239Z import random
2022-11-23T01:30:20.1413351Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1413469Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1413474Z 
2022-11-23T01:30:20.1413538Z aten = torch.ops.aten
2022-11-23T01:30:20.1413668Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1413757Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1413762Z 
2022-11-23T01:30:20.1413767Z 
2022-11-23T01:30:20.1413898Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1414102Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1414220Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1414325Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1414424Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1414510Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.1414568Z {
2022-11-23T01:30:20.1414665Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1414725Z     {
2022-11-23T01:30:20.1414801Z         #pragma omp for 
2022-11-23T01:30:20.1414880Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.1414940Z         {
2022-11-23T01:30:20.1415065Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.1415192Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.1415298Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T01:30:20.1415402Z             auto tmp3 = at::vec::minimum(tmp0, tmp1);
2022-11-23T01:30:20.1415490Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.1415580Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.1415641Z         }
2022-11-23T01:30:20.1415734Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.1415804Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:20.1415863Z         {
2022-11-23T01:30:20.1415945Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1416024Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.1416120Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:30:20.1416214Z             auto tmp3 = std::min(tmp0, tmp1);
2022-11-23T01:30:20.1416292Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.1416357Z             out_ptr1[i0] = tmp3;
2022-11-23T01:30:20.1416511Z         }
2022-11-23T01:30:20.1416574Z     }
2022-11-23T01:30:20.1416633Z }
2022-11-23T01:30:20.1416710Z ''')
2022-11-23T01:30:20.1416716Z 
2022-11-23T01:30:20.1416721Z 
2022-11-23T01:30:20.1416809Z async_compile.wait(globals())
2022-11-23T01:30:20.1416881Z del async_compile
2022-11-23T01:30:20.1416886Z 
2022-11-23T01:30:20.1416946Z def call(args):
2022-11-23T01:30:20.1417026Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1417096Z     args.clear()
2022-11-23T01:30:20.1417336Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1417525Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1417716Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1417783Z     del arg0_1
2022-11-23T01:30:20.1417836Z     del arg1_1
2022-11-23T01:30:20.1417911Z     return (buf0, buf1, )
2022-11-23T01:30:20.1417916Z 
2022-11-23T01:30:20.1417920Z 
2022-11-23T01:30:20.1417994Z if __name__ == "__main__":
2022-11-23T01:30:20.1418105Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1418233Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1418423Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1418649Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1418762Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1418767Z 
2022-11-23T01:30:20.1418822Z ok (1.465s)
2022-11-23T01:30:20.1419134Z   test_max_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1419451Z [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1419669Z [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1419922Z [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1420198Z [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1420520Z [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1420867Z [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1421189Z [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1421565Z [2022-11-23 01:25:52,547] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952> 
2022-11-23T01:30:20.1421648Z  1953           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1421764Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:30:20.1421859Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1421951Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1422039Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1422128Z               10 BUILD_LIST               2
2022-11-23T01:30:20.1422215Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1422301Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1422374Z               16 BUILD_LIST               2
2022-11-23T01:30:20.1422463Z               18 CALL_METHOD              3
2022-11-23T01:30:20.1422540Z               20 RETURN_VALUE
2022-11-23T01:30:20.1422602Z  
2022-11-23T01:30:20.1422607Z 
2022-11-23T01:30:20.1422922Z [2022-11-23 01:25:52,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1953
2022-11-23T01:30:20.1423140Z [2022-11-23 01:25:52,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1423473Z [2022-11-23 01:25:52,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1423775Z [2022-11-23 01:25:52,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:30:20.1424072Z [2022-11-23 01:25:52,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:30:20.1424423Z [2022-11-23 01:25:52,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1424807Z [2022-11-23 01:25:52,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1425138Z [2022-11-23 01:25:52,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1425533Z [2022-11-23 01:25:52,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1425938Z [2022-11-23 01:25:52,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1426295Z [2022-11-23 01:25:52,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1426539Z [2022-11-23 01:25:52,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1426920Z [2022-11-23 01:25:52,556] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1952>
2022-11-23T01:30:20.1427167Z [2022-11-23 01:25:52,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1427402Z [2022-11-23 01:25:52,556] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1427652Z [2022-11-23 01:25:52,557] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1427886Z [2022-11-23 01:25:52,559] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1428072Z [2022-11-23 01:25:52,560] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1428206Z  __compiled_fn_307 <eval_with_key>.2659 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1428298Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1428453Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:30:20.1428672Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:30:20.1428894Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:30:20.1429007Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.1429013Z 
2022-11-23T01:30:20.1429334Z [2022-11-23 01:25:52,560] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1429416Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1429506Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1429591Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1429683Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1429765Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1429853Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1429928Z              12 RETURN_VALUE
2022-11-23T01:30:20.1429936Z 
2022-11-23T01:30:20.1429983Z  
2022-11-23T01:30:20.1430333Z [2022-11-23 01:25:52,560] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1430442Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_307)
2022-11-23T01:30:20.1430530Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1430620Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1430694Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1430781Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1430880Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1430968Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1431055Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1431131Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1431232Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1431370Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1431444Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1431530Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1431591Z              26 RETURN_VALUE
2022-11-23T01:30:20.1431596Z 
2022-11-23T01:30:20.1431653Z  
2022-11-23T01:30:20.1431835Z [2022-11-23 01:25:52,561] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1431904Z  - 
2022-11-23T01:30:20.1432020Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1432081Z             {
2022-11-23T01:30:20.1432219Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1432392Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1432509Z                 'obj_weakref': None
2022-11-23T01:30:20.1432731Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1432796Z             }
2022-11-23T01:30:20.1432860Z             
2022-11-23T01:30:20.1432928Z  - 
2022-11-23T01:30:20.1433053Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1433103Z             {
2022-11-23T01:30:20.1433246Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1433351Z                 'code': None,
2022-11-23T01:30:20.1433563Z                 'obj_weakref': <weakref at 0x7ff57ef61c10; to 'Tensor' at 0x7ff58f91d8a0>
2022-11-23T01:30:20.1433889Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1433953Z             }
2022-11-23T01:30:20.1434015Z             
2022-11-23T01:30:20.1434073Z  - 
2022-11-23T01:30:20.1434201Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1434263Z             {
2022-11-23T01:30:20.1434396Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1434564Z                 'code': ['___check_obj_id(model, 140692657052336)'],
2022-11-23T01:30:20.1434683Z                 'obj_weakref': None
2022-11-23T01:30:20.1434913Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1434963Z             }
2022-11-23T01:30:20.1435025Z             
2022-11-23T01:30:20.1435095Z  - 
2022-11-23T01:30:20.1435216Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1435277Z             {
2022-11-23T01:30:20.1435412Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1435626Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1435730Z                 'obj_weakref': None
2022-11-23T01:30:20.1435949Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1436011Z             }
2022-11-23T01:30:20.1436072Z             
2022-11-23T01:30:20.1436139Z  - 
2022-11-23T01:30:20.1436268Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1436330Z             {
2022-11-23T01:30:20.1436437Z                 'guard_types': None,
2022-11-23T01:30:20.1436540Z                 'code': None,
2022-11-23T01:30:20.1436656Z                 'obj_weakref': None
2022-11-23T01:30:20.1436819Z                 'guarded_class': None
2022-11-23T01:30:20.1436884Z             }
2022-11-23T01:30:20.1436945Z             
2022-11-23T01:30:20.1437204Z [2022-11-23 01:25:52,566] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 300
2022-11-23T01:30:20.1437565Z [2022-11-23 01:25:54,060] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ni/cnitbpbizq5acyjo4upknpnb2wlikdnp5lkzuf4y3rlxnfbchsi2.py
2022-11-23T01:30:20.1437825Z [2022-11-23 01:25:54,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 300
2022-11-23T01:30:20.1437831Z 
2022-11-23T01:30:20.1437922Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1437988Z import torch
2022-11-23T01:30:20.1438055Z import random
2022-11-23T01:30:20.1438168Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1438314Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1438319Z 
2022-11-23T01:30:20.1438395Z aten = torch.ops.aten
2022-11-23T01:30:20.1438517Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1438609Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1438614Z 
2022-11-23T01:30:20.1438618Z 
2022-11-23T01:30:20.1438751Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1438955Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1439075Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1439175Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1439271Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:20.1439331Z {
2022-11-23T01:30:20.1439415Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1439477Z     {
2022-11-23T01:30:20.1439553Z         #pragma omp for 
2022-11-23T01:30:20.1439636Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1439697Z         {
2022-11-23T01:30:20.1439774Z             #pragma GCC ivdep
2022-11-23T01:30:20.1439846Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:30:20.1439907Z             {
2022-11-23T01:30:20.1439987Z                 #pragma GCC ivdep
2022-11-23T01:30:20.1440079Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:30:20.1440144Z                 {
2022-11-23T01:30:20.1440209Z                     {
2022-11-23T01:30:20.1440275Z                         {
2022-11-23T01:30:20.1440374Z                             auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1440489Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1440599Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1440711Z                             auto tmp12 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1440819Z                             auto tmp17 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1440924Z                             auto tmp22 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1441029Z                             auto tmp27 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1441133Z                             auto tmp32 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1441224Z                             auto tmp37 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:30:20.1441338Z                             auto tmp1 = static_cast<long>((2*i2) + (32*i1));
2022-11-23T01:30:20.1441454Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (32*i1));
2022-11-23T01:30:20.1441548Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:30:20.1441652Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:30:20.1441765Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:30:20.1441884Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (32*i1));
2022-11-23T01:30:20.1441977Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:30:20.1442099Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:30:20.1442208Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:30:20.1442323Z                             auto tmp13 = static_cast<long>(16 + (2*i2) + (32*i1));
2022-11-23T01:30:20.1442420Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:30:20.1442522Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:30:20.1442629Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:30:20.1442743Z                             auto tmp18 = static_cast<long>(17 + (2*i2) + (32*i1));
2022-11-23T01:30:20.1442839Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:30:20.1442930Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:30:20.1443064Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:30:20.1443183Z                             auto tmp23 = static_cast<long>(18 + (2*i2) + (32*i1));
2022-11-23T01:30:20.1443278Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:30:20.1443380Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:30:20.1443488Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:30:20.1443602Z                             auto tmp28 = static_cast<long>(32 + (2*i2) + (32*i1));
2022-11-23T01:30:20.1443696Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:30:20.1443786Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:30:20.1443894Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:30:20.1444009Z                             auto tmp33 = static_cast<long>(33 + (2*i2) + (32*i1));
2022-11-23T01:30:20.1444106Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:30:20.1444207Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:30:20.1444315Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:30:20.1444431Z                             auto tmp38 = static_cast<long>(34 + (2*i2) + (32*i1));
2022-11-23T01:30:20.1444526Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:30:20.1444615Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:30:20.1444719Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:30:20.1444822Z                             out_ptr0[i2 + (7*i1) + (49*i0)] = tmp41;
2022-11-23T01:30:20.1444922Z                             out_ptr1[i2 + (7*i1) + (49*i0)] = tmp40;
2022-11-23T01:30:20.1444990Z                         }
2022-11-23T01:30:20.1445054Z                     }
2022-11-23T01:30:20.1445118Z                 }
2022-11-23T01:30:20.1445168Z             }
2022-11-23T01:30:20.1445231Z         }
2022-11-23T01:30:20.1445291Z     }
2022-11-23T01:30:20.1445350Z }
2022-11-23T01:30:20.1445430Z ''')
2022-11-23T01:30:20.1445434Z 
2022-11-23T01:30:20.1445439Z 
2022-11-23T01:30:20.1445528Z async_compile.wait(globals())
2022-11-23T01:30:20.1445604Z del async_compile
2022-11-23T01:30:20.1445608Z 
2022-11-23T01:30:20.1445665Z def call(args):
2022-11-23T01:30:20.1445734Z     arg0_1, = args
2022-11-23T01:30:20.1445804Z     args.clear()
2022-11-23T01:30:20.1446015Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1446219Z     buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1446383Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1446448Z     del arg0_1
2022-11-23T01:30:20.1446512Z     return (buf0, buf1, )
2022-11-23T01:30:20.1446528Z 
2022-11-23T01:30:20.1446532Z 
2022-11-23T01:30:20.1446596Z if __name__ == "__main__":
2022-11-23T01:30:20.1446708Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1446827Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1447077Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1447182Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1447187Z 
2022-11-23T01:30:20.1447254Z ok (1.519s)
2022-11-23T01:30:20.1447565Z   test_max_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:54,120] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1447881Z [2022-11-23 01:25:54,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1448084Z [2022-11-23 01:25:54,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1448334Z [2022-11-23 01:25:54,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1448638Z [2022-11-23 01:25:54,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1448955Z [2022-11-23 01:25:54,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1449302Z [2022-11-23 01:25:54,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1449621Z [2022-11-23 01:25:54,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1449997Z [2022-11-23 01:25:54,121] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961> 
2022-11-23T01:30:20.1450093Z  1962           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1450207Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:30:20.1450296Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1450374Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1450461Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1450555Z               10 BUILD_LIST               2
2022-11-23T01:30:20.1450641Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1450724Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1450811Z               16 BUILD_LIST               2
2022-11-23T01:30:20.1450896Z               18 CALL_METHOD              3
2022-11-23T01:30:20.1450959Z               20 RETURN_VALUE
2022-11-23T01:30:20.1451017Z  
2022-11-23T01:30:20.1451022Z 
2022-11-23T01:30:20.1451335Z [2022-11-23 01:25:54,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1962
2022-11-23T01:30:20.1451554Z [2022-11-23 01:25:54,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1451891Z [2022-11-23 01:25:54,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1452168Z [2022-11-23 01:25:54,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:30:20.1452473Z [2022-11-23 01:25:54,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:30:20.1452814Z [2022-11-23 01:25:54,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1453192Z [2022-11-23 01:25:54,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1453548Z [2022-11-23 01:25:54,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1453911Z [2022-11-23 01:25:54,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1454300Z [2022-11-23 01:25:54,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1454656Z [2022-11-23 01:25:54,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1454901Z [2022-11-23 01:25:54,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1455310Z [2022-11-23 01:25:54,129] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1961>
2022-11-23T01:30:20.1455554Z [2022-11-23 01:25:54,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1455786Z [2022-11-23 01:25:54,130] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1456036Z [2022-11-23 01:25:54,131] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1456280Z [2022-11-23 01:25:54,134] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1456606Z [2022-11-23 01:25:54,134] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1456740Z  __compiled_fn_308 <eval_with_key>.2665 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1456820Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1456978Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:30:20.1457197Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:30:20.1457414Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:30:20.1457524Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.1457530Z 
2022-11-23T01:30:20.1457854Z [2022-11-23 01:25:54,134] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1457947Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1458037Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1458111Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1458203Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1458290Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1458376Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1458452Z              12 RETURN_VALUE
2022-11-23T01:30:20.1458457Z 
2022-11-23T01:30:20.1458516Z  
2022-11-23T01:30:20.1458837Z [2022-11-23 01:25:54,134] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1458942Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_308)
2022-11-23T01:30:20.1459019Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1459106Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1459183Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1459269Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1459370Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1459467Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1459556Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1459620Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1459762Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1459850Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1459923Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1460009Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1460080Z              26 RETURN_VALUE
2022-11-23T01:30:20.1460085Z 
2022-11-23T01:30:20.1460144Z  
2022-11-23T01:30:20.1460312Z [2022-11-23 01:25:54,135] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1460381Z  - 
2022-11-23T01:30:20.1460498Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1460561Z             {
2022-11-23T01:30:20.1460700Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1460886Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1461004Z                 'obj_weakref': None
2022-11-23T01:30:20.1461250Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1461314Z             }
2022-11-23T01:30:20.1461378Z             
2022-11-23T01:30:20.1461447Z  - 
2022-11-23T01:30:20.1461572Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1461637Z             {
2022-11-23T01:30:20.1461780Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1461874Z                 'code': None,
2022-11-23T01:30:20.1462091Z                 'obj_weakref': <weakref at 0x7ff57efa24d0; to 'Tensor' at 0x7ff58f91d8a0>
2022-11-23T01:30:20.1462345Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1462409Z             }
2022-11-23T01:30:20.1462473Z             
2022-11-23T01:30:20.1462541Z  - 
2022-11-23T01:30:20.1462672Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1462723Z             {
2022-11-23T01:30:20.1462860Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1463030Z                 'code': ['___check_obj_id(model, 140692658624192)'],
2022-11-23T01:30:20.1463152Z                 'obj_weakref': None
2022-11-23T01:30:20.1463387Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1463447Z             }
2022-11-23T01:30:20.1463511Z             
2022-11-23T01:30:20.1463567Z  - 
2022-11-23T01:30:20.1463689Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1463753Z             {
2022-11-23T01:30:20.1463890Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1464106Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1464222Z                 'obj_weakref': None
2022-11-23T01:30:20.1464441Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1464492Z             }
2022-11-23T01:30:20.1464558Z             
2022-11-23T01:30:20.1464629Z  - 
2022-11-23T01:30:20.1464760Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1464822Z             {
2022-11-23T01:30:20.1464941Z                 'guard_types': None,
2022-11-23T01:30:20.1465048Z                 'code': None,
2022-11-23T01:30:20.1465152Z                 'obj_weakref': None
2022-11-23T01:30:20.1465273Z                 'guarded_class': None
2022-11-23T01:30:20.1465337Z             }
2022-11-23T01:30:20.1465400Z             
2022-11-23T01:30:20.1465662Z [2022-11-23 01:25:54,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 301
2022-11-23T01:30:20.1466031Z [2022-11-23 01:25:55,762] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiwljtzzvqhkfqgvxcb24ns5jwzgp5e4e3o6zwogip43lw36qhi.py
2022-11-23T01:30:20.1466293Z [2022-11-23 01:25:55,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 301
2022-11-23T01:30:20.1466300Z 
2022-11-23T01:30:20.1466393Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1466449Z import torch
2022-11-23T01:30:20.1466518Z import random
2022-11-23T01:30:20.1466664Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1466787Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1466792Z 
2022-11-23T01:30:20.1466871Z aten = torch.ops.aten
2022-11-23T01:30:20.1467005Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1467096Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1467101Z 
2022-11-23T01:30:20.1467106Z 
2022-11-23T01:30:20.1467238Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1467431Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1467550Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1467650Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1467747Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:20.1467836Z {
2022-11-23T01:30:20.1467934Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1467994Z     {
2022-11-23T01:30:20.1468060Z         #pragma omp for 
2022-11-23T01:30:20.1468140Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:20.1468203Z         {
2022-11-23T01:30:20.1468283Z             #pragma GCC ivdep
2022-11-23T01:30:20.1468369Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:30:20.1468432Z             {
2022-11-23T01:30:20.1468511Z                 #pragma GCC ivdep
2022-11-23T01:30:20.1468587Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:30:20.1468649Z                 {
2022-11-23T01:30:20.1468714Z                     {
2022-11-23T01:30:20.1468781Z                         {
2022-11-23T01:30:20.1468893Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469006Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469115Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469218Z                             auto tmp12 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469326Z                             auto tmp17 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469430Z                             auto tmp22 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469540Z                             auto tmp27 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469651Z                             auto tmp32 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469762Z                             auto tmp37 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:30:20.1469880Z                             auto tmp1 = static_cast<long>((2*i2) + (110*i1));
2022-11-23T01:30:20.1469995Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (110*i1));
2022-11-23T01:30:20.1470080Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:30:20.1470181Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:30:20.1470293Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:30:20.1470408Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (110*i1));
2022-11-23T01:30:20.1470503Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:30:20.1470604Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:30:20.1470711Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:30:20.1470825Z                             auto tmp13 = static_cast<long>(55 + (2*i2) + (110*i1));
2022-11-23T01:30:20.1470909Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:30:20.1471011Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:30:20.1471118Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:30:20.1471237Z                             auto tmp18 = static_cast<long>(56 + (2*i2) + (110*i1));
2022-11-23T01:30:20.1471330Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:30:20.1471458Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:30:20.1471566Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:30:20.1471684Z                             auto tmp23 = static_cast<long>(57 + (2*i2) + (110*i1));
2022-11-23T01:30:20.1471768Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:30:20.1471869Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:30:20.1471977Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:30:20.1472093Z                             auto tmp28 = static_cast<long>(110 + (2*i2) + (110*i1));
2022-11-23T01:30:20.1472187Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:30:20.1472288Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:30:20.1472423Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:30:20.1472542Z                             auto tmp33 = static_cast<long>(111 + (2*i2) + (110*i1));
2022-11-23T01:30:20.1472625Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:30:20.1472726Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:30:20.1472831Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:30:20.1472949Z                             auto tmp38 = static_cast<long>(112 + (2*i2) + (110*i1));
2022-11-23T01:30:20.1473042Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:30:20.1473141Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:30:20.1473249Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:30:20.1473356Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp41;
2022-11-23T01:30:20.1473447Z                             out_ptr1[i2 + (27*i1) + (729*i0)] = tmp40;
2022-11-23T01:30:20.1473516Z                         }
2022-11-23T01:30:20.1473582Z                     }
2022-11-23T01:30:20.1473648Z                 }
2022-11-23T01:30:20.1473709Z             }
2022-11-23T01:30:20.1473772Z         }
2022-11-23T01:30:20.1473910Z     }
2022-11-23T01:30:20.1473969Z }
2022-11-23T01:30:20.1474052Z ''')
2022-11-23T01:30:20.1474058Z 
2022-11-23T01:30:20.1474062Z 
2022-11-23T01:30:20.1474153Z async_compile.wait(globals())
2022-11-23T01:30:20.1474226Z del async_compile
2022-11-23T01:30:20.1474231Z 
2022-11-23T01:30:20.1474303Z def call(args):
2022-11-23T01:30:20.1474373Z     arg0_1, = args
2022-11-23T01:30:20.1474446Z     args.clear()
2022-11-23T01:30:20.1474657Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1474872Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1475034Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1475105Z     del arg0_1
2022-11-23T01:30:20.1475181Z     return (buf0, buf1, )
2022-11-23T01:30:20.1475189Z 
2022-11-23T01:30:20.1475193Z 
2022-11-23T01:30:20.1475269Z if __name__ == "__main__":
2022-11-23T01:30:20.1475381Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1475500Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1475713Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1475820Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1475825Z 
2022-11-23T01:30:20.1475891Z ok (1.711s)
2022-11-23T01:30:20.1476198Z   test_max_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:25:55,778] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1476512Z [2022-11-23 01:25:55,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1476728Z [2022-11-23 01:25:55,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1477023Z [2022-11-23 01:25:55,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1477296Z [2022-11-23 01:25:55,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1477613Z [2022-11-23 01:25:55,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1477946Z [2022-11-23 01:25:55,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1478265Z [2022-11-23 01:25:55,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1478665Z [2022-11-23 01:25:55,779] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1114d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970> 
2022-11-23T01:30:20.1478759Z  1972           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1478872Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:30:20.1478961Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1479047Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1479131Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1479217Z               10 BUILD_LIST               2
2022-11-23T01:30:20.1479292Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1479377Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1479462Z               16 BUILD_LIST               2
2022-11-23T01:30:20.1479547Z               18 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1479634Z               20 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1479719Z               22 BUILD_LIST               2
2022-11-23T01:30:20.1479804Z               24 CALL_METHOD              4
2022-11-23T01:30:20.1479869Z               26 RETURN_VALUE
2022-11-23T01:30:20.1479928Z  
2022-11-23T01:30:20.1479934Z 
2022-11-23T01:30:20.1480246Z [2022-11-23 01:25:55,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1972
2022-11-23T01:30:20.1480461Z [2022-11-23 01:25:55,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1480789Z [2022-11-23 01:25:55,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1481063Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:30:20.1481374Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:30:20.1481716Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1482096Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1482423Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1482774Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1483208Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1483557Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1483943Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1484371Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1484751Z [2022-11-23 01:25:55,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1485025Z [2022-11-23 01:25:55,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1485399Z [2022-11-23 01:25:55,788] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1114d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1970>
2022-11-23T01:30:20.1485640Z [2022-11-23 01:25:55,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1485872Z [2022-11-23 01:25:55,788] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1486124Z [2022-11-23 01:25:55,789] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1486370Z [2022-11-23 01:25:55,792] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1486547Z [2022-11-23 01:25:55,792] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1486682Z  __compiled_fn_309 <eval_with_key>.2671 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1486769Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1486928Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:30:20.1487144Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:30:20.1487361Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:30:20.1487476Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.1487482Z 
2022-11-23T01:30:20.1487804Z [2022-11-23 01:25:55,793] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1487896Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1487976Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1488065Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1488157Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1488241Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1488325Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1488400Z              12 RETURN_VALUE
2022-11-23T01:30:20.1488405Z 
2022-11-23T01:30:20.1488465Z  
2022-11-23T01:30:20.1488771Z [2022-11-23 01:25:55,793] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1488877Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_309)
2022-11-23T01:30:20.1488966Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1489055Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1489130Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1489219Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1489320Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1489435Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1489524Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1489599Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1489697Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1489785Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1489858Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1489941Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1490014Z              26 RETURN_VALUE
2022-11-23T01:30:20.1490019Z 
2022-11-23T01:30:20.1490067Z  
2022-11-23T01:30:20.1490246Z [2022-11-23 01:25:55,793] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1490315Z  - 
2022-11-23T01:30:20.1490434Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1490497Z             {
2022-11-23T01:30:20.1490663Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1490847Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1490955Z                 'obj_weakref': None
2022-11-23T01:30:20.1491181Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1491245Z             }
2022-11-23T01:30:20.1491307Z             
2022-11-23T01:30:20.1491374Z  - 
2022-11-23T01:30:20.1491495Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1491557Z             {
2022-11-23T01:30:20.1491686Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1491791Z                 'code': None,
2022-11-23T01:30:20.1492002Z                 'obj_weakref': <weakref at 0x7ff57efee4d0; to 'Tensor' at 0x7ff57ef78270>
2022-11-23T01:30:20.1492253Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1492319Z             }
2022-11-23T01:30:20.1492381Z             
2022-11-23T01:30:20.1492448Z  - 
2022-11-23T01:30:20.1492563Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1492622Z             {
2022-11-23T01:30:20.1492756Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1492924Z                 'code': ['___check_obj_id(model, 140692657046576)'],
2022-11-23T01:30:20.1493039Z                 'obj_weakref': None
2022-11-23T01:30:20.1493268Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1493330Z             }
2022-11-23T01:30:20.1493380Z             
2022-11-23T01:30:20.1493444Z  - 
2022-11-23T01:30:20.1493563Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1493623Z             {
2022-11-23T01:30:20.1493757Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1493972Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1494089Z                 'obj_weakref': None
2022-11-23T01:30:20.1494295Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1494358Z             }
2022-11-23T01:30:20.1494418Z             
2022-11-23T01:30:20.1494485Z  - 
2022-11-23T01:30:20.1494613Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1494677Z             {
2022-11-23T01:30:20.1494783Z                 'guard_types': None,
2022-11-23T01:30:20.1494885Z                 'code': None,
2022-11-23T01:30:20.1495000Z                 'obj_weakref': None
2022-11-23T01:30:20.1495119Z                 'guarded_class': None
2022-11-23T01:30:20.1495180Z             }
2022-11-23T01:30:20.1495241Z             
2022-11-23T01:30:20.1495499Z [2022-11-23 01:25:55,799] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 302
2022-11-23T01:30:20.1495504Z 
2022-11-23T01:30:20.1495594Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1495650Z import torch
2022-11-23T01:30:20.1495719Z import random
2022-11-23T01:30:20.1495833Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1495951Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1495990Z 
2022-11-23T01:30:20.1496067Z aten = torch.ops.aten
2022-11-23T01:30:20.1496197Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1496290Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1496294Z 
2022-11-23T01:30:20.1496299Z 
2022-11-23T01:30:20.1496547Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1496741Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1496860Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1496957Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1497053Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:20.1497113Z {
2022-11-23T01:30:20.1497210Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1497321Z     {
2022-11-23T01:30:20.1497386Z         #pragma omp for 
2022-11-23T01:30:20.1497466Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.1497529Z         {
2022-11-23T01:30:20.1497610Z             #pragma GCC ivdep
2022-11-23T01:30:20.1497690Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.1497751Z             {
2022-11-23T01:30:20.1497803Z                 {
2022-11-23T01:30:20.1497868Z                     {
2022-11-23T01:30:20.1498042Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:30:20.1498145Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:30:20.1498238Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:20.1498338Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:30:20.1498433Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:20.1498526Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:30:20.1498684Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:30:20.1498785Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:30:20.1498879Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:30:20.1498970Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:30:20.1499062Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:30:20.1499307Z                         float tmp11 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1499387Z                         if(tmp10)
2022-11-23T01:30:20.1499444Z                         {
2022-11-23T01:30:20.1499619Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1499705Z                             tmp11 = tmp12;
2022-11-23T01:30:20.1499776Z                         }
2022-11-23T01:30:20.1499960Z                         auto tmp13 = static_cast<long>((-9) + (2*i1) + (16*i0));
2022-11-23T01:30:20.1500068Z                         auto tmp14 = static_cast<long>(2*i1);
2022-11-23T01:30:20.1500165Z                         auto tmp15 = tmp14 >= tmp1;
2022-11-23T01:30:20.1500248Z                         auto tmp16 = tmp14 < tmp3;
2022-11-23T01:30:20.1500347Z                         auto tmp17 = tmp15 & tmp16;
2022-11-23T01:30:20.1500439Z                         auto tmp18 = tmp5 & tmp17;
2022-11-23T01:30:20.1500656Z                         float tmp19 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1500734Z                         if(tmp18)
2022-11-23T01:30:20.1500804Z                         {
2022-11-23T01:30:20.1500978Z                             auto tmp20 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1501062Z                             tmp19 = tmp20;
2022-11-23T01:30:20.1501118Z                         }
2022-11-23T01:30:20.1501302Z                         auto tmp21 = static_cast<long>((-8) + (2*i1) + (16*i0));
2022-11-23T01:30:20.1501400Z                         auto tmp22 = tmp19 > tmp11;
2022-11-23T01:30:20.1501504Z                         auto tmp23 = tmp22 ? tmp21 : tmp13;
2022-11-23T01:30:20.1501615Z                         auto tmp24 = std::max(tmp19, tmp11);
2022-11-23T01:30:20.1501766Z                         auto tmp25 = static_cast<long>(1 + (2*i1));
2022-11-23T01:30:20.1501861Z                         auto tmp26 = tmp25 >= tmp1;
2022-11-23T01:30:20.1501942Z                         auto tmp27 = tmp25 < tmp3;
2022-11-23T01:30:20.1502038Z                         auto tmp28 = tmp26 & tmp27;
2022-11-23T01:30:20.1502129Z                         auto tmp29 = tmp5 & tmp28;
2022-11-23T01:30:20.1502348Z                         float tmp30 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1502423Z                         if(tmp29)
2022-11-23T01:30:20.1502491Z                         {
2022-11-23T01:30:20.1502665Z                             auto tmp31 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1502750Z                             tmp30 = tmp31;
2022-11-23T01:30:20.1502808Z                         }
2022-11-23T01:30:20.1503018Z                         auto tmp32 = static_cast<long>((-7) + (2*i1) + (16*i0));
2022-11-23T01:30:20.1503112Z                         auto tmp33 = tmp30 > tmp24;
2022-11-23T01:30:20.1503215Z                         auto tmp34 = tmp33 ? tmp32 : tmp23;
2022-11-23T01:30:20.1503325Z                         auto tmp35 = std::max(tmp30, tmp24);
2022-11-23T01:30:20.1503431Z                         auto tmp36 = static_cast<long>(2*i0);
2022-11-23T01:30:20.1503523Z                         auto tmp37 = tmp36 >= tmp1;
2022-11-23T01:30:20.1503602Z                         auto tmp38 = tmp36 < tmp3;
2022-11-23T01:30:20.1503693Z                         auto tmp39 = tmp37 & tmp38;
2022-11-23T01:30:20.1503786Z                         auto tmp40 = tmp39 & tmp9;
2022-11-23T01:30:20.1504002Z                         float tmp41 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1504076Z                         if(tmp40)
2022-11-23T01:30:20.1504143Z                         {
2022-11-23T01:30:20.1504317Z                             auto tmp42 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1504401Z                             tmp41 = tmp42;
2022-11-23T01:30:20.1504455Z                         }
2022-11-23T01:30:20.1504642Z                         auto tmp43 = static_cast<long>((-1) + (2*i1) + (16*i0));
2022-11-23T01:30:20.1504736Z                         auto tmp44 = tmp41 > tmp35;
2022-11-23T01:30:20.1504837Z                         auto tmp45 = tmp44 ? tmp43 : tmp34;
2022-11-23T01:30:20.1504943Z                         auto tmp46 = std::max(tmp41, tmp35);
2022-11-23T01:30:20.1505033Z                         auto tmp47 = tmp39 & tmp17;
2022-11-23T01:30:20.1505247Z                         float tmp48 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1505310Z                         if(tmp47)
2022-11-23T01:30:20.1505379Z                         {
2022-11-23T01:30:20.1505483Z                             auto tmp49 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:30:20.1505565Z                             tmp48 = tmp49;
2022-11-23T01:30:20.1505633Z                         }
2022-11-23T01:30:20.1505750Z                         auto tmp50 = static_cast<long>((2*i1) + (16*i0));
2022-11-23T01:30:20.1505847Z                         auto tmp51 = tmp48 > tmp46;
2022-11-23T01:30:20.1505949Z                         auto tmp52 = tmp51 ? tmp50 : tmp45;
2022-11-23T01:30:20.1506044Z                         auto tmp53 = std::max(tmp48, tmp46);
2022-11-23T01:30:20.1506137Z                         auto tmp54 = tmp39 & tmp28;
2022-11-23T01:30:20.1506347Z                         float tmp55 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1506424Z                         if(tmp54)
2022-11-23T01:30:20.1506490Z                         {
2022-11-23T01:30:20.1506595Z                             auto tmp56 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1506675Z                             tmp55 = tmp56;
2022-11-23T01:30:20.1506729Z                         }
2022-11-23T01:30:20.1506843Z                         auto tmp57 = static_cast<long>(1 + (2*i1) + (16*i0));
2022-11-23T01:30:20.1506938Z                         auto tmp58 = tmp55 > tmp53;
2022-11-23T01:30:20.1507066Z                         auto tmp59 = tmp58 ? tmp57 : tmp52;
2022-11-23T01:30:20.1507172Z                         auto tmp60 = std::max(tmp55, tmp53);
2022-11-23T01:30:20.1507279Z                         auto tmp61 = static_cast<long>(1 + (2*i0));
2022-11-23T01:30:20.1507371Z                         auto tmp62 = tmp61 >= tmp1;
2022-11-23T01:30:20.1507461Z                         auto tmp63 = tmp61 < tmp3;
2022-11-23T01:30:20.1507539Z                         auto tmp64 = tmp62 & tmp63;
2022-11-23T01:30:20.1507627Z                         auto tmp65 = tmp64 & tmp9;
2022-11-23T01:30:20.1507841Z                         float tmp66 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1507916Z                         if(tmp65)
2022-11-23T01:30:20.1507982Z                         {
2022-11-23T01:30:20.1508087Z                             auto tmp67 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1508199Z                             tmp66 = tmp67;
2022-11-23T01:30:20.1508254Z                         }
2022-11-23T01:30:20.1508371Z                         auto tmp68 = static_cast<long>(7 + (2*i1) + (16*i0));
2022-11-23T01:30:20.1508463Z                         auto tmp69 = tmp66 > tmp60;
2022-11-23T01:30:20.1508562Z                         auto tmp70 = tmp69 ? tmp68 : tmp59;
2022-11-23T01:30:20.1508667Z                         auto tmp71 = std::max(tmp66, tmp60);
2022-11-23T01:30:20.1508756Z                         auto tmp72 = tmp64 & tmp17;
2022-11-23T01:30:20.1508967Z                         float tmp73 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1509041Z                         if(tmp72)
2022-11-23T01:30:20.1509096Z                         {
2022-11-23T01:30:20.1509201Z                             auto tmp74 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1509281Z                             tmp73 = tmp74;
2022-11-23T01:30:20.1514173Z                         }
2022-11-23T01:30:20.1514322Z                         auto tmp75 = static_cast<long>(8 + (2*i1) + (16*i0));
2022-11-23T01:30:20.1514427Z                         auto tmp76 = tmp73 > tmp71;
2022-11-23T01:30:20.1514533Z                         auto tmp77 = tmp76 ? tmp75 : tmp70;
2022-11-23T01:30:20.1514648Z                         auto tmp78 = std::max(tmp73, tmp71);
2022-11-23T01:30:20.1514729Z                         auto tmp79 = tmp64 & tmp28;
2022-11-23T01:30:20.1514986Z                         float tmp80 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1515062Z                         if(tmp79)
2022-11-23T01:30:20.1515130Z                         {
2022-11-23T01:30:20.1515235Z                             auto tmp81 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1515319Z                             tmp80 = tmp81;
2022-11-23T01:30:20.1515387Z                         }
2022-11-23T01:30:20.1515503Z                         auto tmp82 = static_cast<long>(9 + (2*i1) + (16*i0));
2022-11-23T01:30:20.1515586Z                         auto tmp83 = tmp80 > tmp78;
2022-11-23T01:30:20.1515687Z                         auto tmp84 = tmp83 ? tmp82 : tmp77;
2022-11-23T01:30:20.1515796Z                         auto tmp85 = std::max(tmp80, tmp78);
2022-11-23T01:30:20.1516014Z                         float tmp86 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1516090Z                         if(tmp10)
2022-11-23T01:30:20.1516159Z                         {
2022-11-23T01:30:20.1516332Z                             auto tmp87 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1516402Z                             tmp86 = tmp87;
2022-11-23T01:30:20.1516469Z                         }
2022-11-23T01:30:20.1516680Z                         float tmp88 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1516753Z                         if(tmp18)
2022-11-23T01:30:20.1516818Z                         {
2022-11-23T01:30:20.1516989Z                             auto tmp89 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1517075Z                             tmp88 = tmp89;
2022-11-23T01:30:20.1517140Z                         }
2022-11-23T01:30:20.1517303Z                         auto tmp90 = tmp88 > tmp86;
2022-11-23T01:30:20.1517407Z                         auto tmp91 = tmp90 ? tmp21 : tmp13;
2022-11-23T01:30:20.1517513Z                         auto tmp92 = std::max(tmp88, tmp86);
2022-11-23T01:30:20.1517727Z                         float tmp93 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1517802Z                         if(tmp29)
2022-11-23T01:30:20.1517868Z                         {
2022-11-23T01:30:20.1518038Z                             auto tmp94 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1518107Z                             tmp93 = tmp94;
2022-11-23T01:30:20.1518170Z                         }
2022-11-23T01:30:20.1518264Z                         auto tmp95 = tmp93 > tmp92;
2022-11-23T01:30:20.1518364Z                         auto tmp96 = tmp95 ? tmp32 : tmp91;
2022-11-23T01:30:20.1518508Z                         auto tmp97 = std::max(tmp93, tmp92);
2022-11-23T01:30:20.1518722Z                         float tmp98 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1518796Z                         if(tmp40)
2022-11-23T01:30:20.1518862Z                         {
2022-11-23T01:30:20.1519019Z                             auto tmp99 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1519099Z                             tmp98 = tmp99;
2022-11-23T01:30:20.1519164Z                         }
2022-11-23T01:30:20.1519259Z                         auto tmp100 = tmp98 > tmp97;
2022-11-23T01:30:20.1519362Z                         auto tmp101 = tmp100 ? tmp43 : tmp96;
2022-11-23T01:30:20.1519467Z                         auto tmp102 = std::max(tmp98, tmp97);
2022-11-23T01:30:20.1519685Z                         float tmp103 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1519747Z                         if(tmp47)
2022-11-23T01:30:20.1519816Z                         {
2022-11-23T01:30:20.1519925Z                             auto tmp104 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:30:20.1520012Z                             tmp103 = tmp104;
2022-11-23T01:30:20.1520079Z                         }
2022-11-23T01:30:20.1520175Z                         auto tmp105 = tmp103 > tmp102;
2022-11-23T01:30:20.1520279Z                         auto tmp106 = tmp105 ? tmp50 : tmp101;
2022-11-23T01:30:20.1520391Z                         auto tmp107 = std::max(tmp103, tmp102);
2022-11-23T01:30:20.1520597Z                         float tmp108 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1520671Z                         if(tmp54)
2022-11-23T01:30:20.1520737Z                         {
2022-11-23T01:30:20.1520845Z                             auto tmp109 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1520928Z                             tmp108 = tmp109;
2022-11-23T01:30:20.1520994Z                         }
2022-11-23T01:30:20.1521089Z                         auto tmp110 = tmp108 > tmp107;
2022-11-23T01:30:20.1521180Z                         auto tmp111 = tmp110 ? tmp57 : tmp106;
2022-11-23T01:30:20.1521287Z                         auto tmp112 = std::max(tmp108, tmp107);
2022-11-23T01:30:20.1521504Z                         float tmp113 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1521576Z                         if(tmp65)
2022-11-23T01:30:20.1521642Z                         {
2022-11-23T01:30:20.1521751Z                             auto tmp114 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1521836Z                             tmp113 = tmp114;
2022-11-23T01:30:20.1521890Z                         }
2022-11-23T01:30:20.1521982Z                         auto tmp115 = tmp113 > tmp112;
2022-11-23T01:30:20.1522083Z                         auto tmp116 = tmp115 ? tmp68 : tmp111;
2022-11-23T01:30:20.1522189Z                         auto tmp117 = std::max(tmp113, tmp112);
2022-11-23T01:30:20.1522404Z                         float tmp118 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1522480Z                         if(tmp72)
2022-11-23T01:30:20.1522546Z                         {
2022-11-23T01:30:20.1522694Z                             auto tmp119 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1522768Z                             tmp118 = tmp119;
2022-11-23T01:30:20.1522831Z                         }
2022-11-23T01:30:20.1522926Z                         auto tmp120 = tmp118 > tmp117;
2022-11-23T01:30:20.1523028Z                         auto tmp121 = tmp120 ? tmp75 : tmp116;
2022-11-23T01:30:20.1523136Z                         auto tmp122 = std::max(tmp118, tmp117);
2022-11-23T01:30:20.1523354Z                         float tmp123 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1523429Z                         if(tmp79)
2022-11-23T01:30:20.1523495Z                         {
2022-11-23T01:30:20.1523590Z                             auto tmp124 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:30:20.1523701Z                             tmp123 = tmp124;
2022-11-23T01:30:20.1523766Z                         }
2022-11-23T01:30:20.1523860Z                         auto tmp125 = tmp123 > tmp122;
2022-11-23T01:30:20.1523965Z                         auto tmp126 = tmp125 ? tmp82 : tmp121;
2022-11-23T01:30:20.1524071Z                         auto tmp127 = std::max(tmp123, tmp122);
2022-11-23T01:30:20.1524165Z                         out_ptr0[i1 + (4*i0)] = tmp85;
2022-11-23T01:30:20.1524246Z                         out_ptr1[i1 + (4*i0)] = tmp126;
2022-11-23T01:30:20.1524311Z                     }
2022-11-23T01:30:20.1524374Z                 }
2022-11-23T01:30:20.1524437Z             }
2022-11-23T01:30:20.1524498Z         }
2022-11-23T01:30:20.1524558Z     }
2022-11-23T01:30:20.1524617Z }
2022-11-23T01:30:20.1524683Z ''')
2022-11-23T01:30:20.1524690Z 
2022-11-23T01:30:20.1524694Z 
2022-11-23T01:30:20.1524785Z async_compile.wait(globals())
2022-11-23T01:30:20.1524855Z del async_compile
2022-11-23T01:30:20.1524862Z 
2022-11-23T01:30:20.1524930Z def call(args):
2022-11-23T01:30:20.1524998Z     arg0_1, = args
2022-11-23T01:30:20.1525067Z     args.clear()
2022-11-23T01:30:20.1525283Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1525480Z     buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1525641Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1525708Z     del arg0_1
2022-11-23T01:30:20.1525784Z     return (buf0, buf1, )
2022-11-23T01:30:20.1525789Z 
2022-11-23T01:30:20.1525793Z 
2022-11-23T01:30:20.1525868Z if __name__ == "__main__":
2022-11-23T01:30:20.1525982Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1526102Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1526313Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1526410Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1526782Z [2022-11-23 01:25:57,367] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6z/c6z7witinhxzeen5sq45bramwtbnvtb52sk6wtkrmtn4vj7oxhlw.py
2022-11-23T01:30:20.1527048Z [2022-11-23 01:25:57,367] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 302
2022-11-23T01:30:20.1527053Z 
2022-11-23T01:30:20.1527118Z ok (1.595s)
2022-11-23T01:30:20.1527423Z   test_max_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:25:57,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1527732Z [2022-11-23 01:25:57,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1527950Z [2022-11-23 01:25:57,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1528201Z [2022-11-23 01:25:57,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1528531Z [2022-11-23 01:25:57,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1528852Z [2022-11-23 01:25:57,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1529184Z [2022-11-23 01:25:57,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1529506Z [2022-11-23 01:25:57,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1529875Z [2022-11-23 01:25:57,377] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980> 
2022-11-23T01:30:20.1530001Z  1982           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1530120Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:30:20.1530211Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1530301Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1530390Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1530465Z               10 BUILD_LIST               2
2022-11-23T01:30:20.1530552Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1530639Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1530727Z               16 BUILD_LIST               2
2022-11-23T01:30:20.1530814Z               18 LOAD_CONST               3 (0)
2022-11-23T01:30:20.1530897Z               20 LOAD_CONST               3 (0)
2022-11-23T01:30:20.1530980Z               22 BUILD_LIST               2
2022-11-23T01:30:20.1531065Z               24 LOAD_CONST               4 (1)
2022-11-23T01:30:20.1531136Z               26 LOAD_CONST               4 (1)
2022-11-23T01:30:20.1531221Z               28 BUILD_LIST               2
2022-11-23T01:30:20.1531311Z               30 LOAD_CONST               5 (True)
2022-11-23T01:30:20.1531397Z               32 CALL_METHOD              6
2022-11-23T01:30:20.1531470Z               34 RETURN_VALUE
2022-11-23T01:30:20.1531529Z  
2022-11-23T01:30:20.1531534Z 
2022-11-23T01:30:20.1531848Z [2022-11-23 01:25:57,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1982
2022-11-23T01:30:20.1532051Z [2022-11-23 01:25:57,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1532382Z [2022-11-23 01:25:57,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1532656Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:30:20.1532965Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:30:20.1533304Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1533682Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1534011Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1534373Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1534809Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1535162Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1535551Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1535979Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1536356Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1536917Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1537352Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1537756Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1538210Z [2022-11-23 01:25:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.1538463Z [2022-11-23 01:25:57,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1538839Z [2022-11-23 01:25:57,386] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1980>
2022-11-23T01:30:20.1539085Z [2022-11-23 01:25:57,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1539317Z [2022-11-23 01:25:57,386] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1539570Z [2022-11-23 01:25:57,387] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1539818Z [2022-11-23 01:25:57,391] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1540009Z [2022-11-23 01:25:57,391] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1540145Z  __compiled_fn_310 <eval_with_key>.2677 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1540222Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1540392Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [0, 0], [1, 1], True), {}
2022-11-23T01:30:20.1540608Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:30:20.1540828Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:30:20.1540941Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.1540946Z 
2022-11-23T01:30:20.1541272Z [2022-11-23 01:25:57,391] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1541364Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1541454Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1541527Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1541669Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1541757Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1541846Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1541922Z              12 RETURN_VALUE
2022-11-23T01:30:20.1541927Z 
2022-11-23T01:30:20.1541988Z  
2022-11-23T01:30:20.1542312Z [2022-11-23 01:25:57,391] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1542422Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_310)
2022-11-23T01:30:20.1542498Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1542587Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1542664Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1542790Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1542892Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1542996Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1543085Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1543149Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1543250Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1543338Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1543412Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1543500Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1543573Z              26 RETURN_VALUE
2022-11-23T01:30:20.1543578Z 
2022-11-23T01:30:20.1543637Z  
2022-11-23T01:30:20.1543808Z [2022-11-23 01:25:57,392] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1543874Z  - 
2022-11-23T01:30:20.1543991Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1544056Z             {
2022-11-23T01:30:20.1544194Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1544382Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1544503Z                 'obj_weakref': None
2022-11-23T01:30:20.1544713Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1544779Z             }
2022-11-23T01:30:20.1544842Z             
2022-11-23T01:30:20.1544912Z  - 
2022-11-23T01:30:20.1545036Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1545099Z             {
2022-11-23T01:30:20.1545238Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1545331Z                 'code': None,
2022-11-23T01:30:20.1545543Z                 'obj_weakref': <weakref at 0x7ff57efe7ab0; to 'Tensor' at 0x7ff57ef28310>
2022-11-23T01:30:20.1545798Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1545863Z             }
2022-11-23T01:30:20.1545924Z             
2022-11-23T01:30:20.1545994Z  - 
2022-11-23T01:30:20.1546122Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1546174Z             {
2022-11-23T01:30:20.1546306Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1546474Z                 'code': ['___check_obj_id(model, 140693067557920)'],
2022-11-23T01:30:20.1546590Z                 'obj_weakref': None
2022-11-23T01:30:20.1546819Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1546879Z             }
2022-11-23T01:30:20.1546938Z             
2022-11-23T01:30:20.1546994Z  - 
2022-11-23T01:30:20.1547113Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1547179Z             {
2022-11-23T01:30:20.1547314Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1547530Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1547646Z                 'obj_weakref': None
2022-11-23T01:30:20.1547900Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1547953Z             }
2022-11-23T01:30:20.1548015Z             
2022-11-23T01:30:20.1548082Z  - 
2022-11-23T01:30:20.1548209Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1548270Z             {
2022-11-23T01:30:20.1548386Z                 'guard_types': None,
2022-11-23T01:30:20.1548490Z                 'code': None,
2022-11-23T01:30:20.1548593Z                 'obj_weakref': None
2022-11-23T01:30:20.1548711Z                 'guarded_class': None
2022-11-23T01:30:20.1548773Z             }
2022-11-23T01:30:20.1548834Z             
2022-11-23T01:30:20.1549090Z [2022-11-23 01:25:57,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 303
2022-11-23T01:30:20.1549455Z [2022-11-23 01:25:58,938] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/me/cmeswgki4tw7n2f54ppceugo7w6rfzhl3ztqwovt5bye3tmciovy.py
2022-11-23T01:30:20.1549753Z [2022-11-23 01:25:58,938] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 303
2022-11-23T01:30:20.1549758Z 
2022-11-23T01:30:20.1549850Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1549905Z import torch
2022-11-23T01:30:20.1549971Z import random
2022-11-23T01:30:20.1550084Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1550204Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1550209Z 
2022-11-23T01:30:20.1550285Z aten = torch.ops.aten
2022-11-23T01:30:20.1550417Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1550507Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1550512Z 
2022-11-23T01:30:20.1550516Z 
2022-11-23T01:30:20.1550645Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1550838Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1550957Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1551055Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1551150Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:20.1551212Z {
2022-11-23T01:30:20.1551307Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1551366Z     {
2022-11-23T01:30:20.1551430Z         #pragma omp for 
2022-11-23T01:30:20.1551509Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.1551568Z         {
2022-11-23T01:30:20.1551647Z             #pragma GCC ivdep
2022-11-23T01:30:20.1551729Z             for(long i1=0; i1<55; i1+=1)
2022-11-23T01:30:20.1551790Z             {
2022-11-23T01:30:20.1551869Z                 #pragma GCC ivdep
2022-11-23T01:30:20.1551945Z                 for(long i2=0; i2<55; i2+=1)
2022-11-23T01:30:20.1552010Z                 {
2022-11-23T01:30:20.1552075Z                     {
2022-11-23T01:30:20.1552142Z                         {
2022-11-23T01:30:20.1552257Z                             auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1552373Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1552480Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1552582Z                             auto tmp12 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1552694Z                             auto tmp17 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1552805Z                             auto tmp22 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1552916Z                             auto tmp27 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1553026Z                             auto tmp32 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1553135Z                             auto tmp37 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:30:20.1553252Z                             auto tmp1 = static_cast<long>((2*i2) + (222*i1));
2022-11-23T01:30:20.1553394Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (222*i1));
2022-11-23T01:30:20.1553479Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:30:20.1553581Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:30:20.1553692Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:30:20.1553872Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (222*i1));
2022-11-23T01:30:20.1553977Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:30:20.1554082Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:30:20.1554192Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:30:20.1554312Z                             auto tmp13 = static_cast<long>(111 + (2*i2) + (222*i1));
2022-11-23T01:30:20.1554430Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:30:20.1554533Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:30:20.1554644Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:30:20.1554763Z                             auto tmp18 = static_cast<long>(112 + (2*i2) + (222*i1));
2022-11-23T01:30:20.1554859Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:30:20.1554960Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:30:20.1555066Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:30:20.1555183Z                             auto tmp23 = static_cast<long>(113 + (2*i2) + (222*i1));
2022-11-23T01:30:20.1555267Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:30:20.1555369Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:30:20.1555476Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:30:20.1555594Z                             auto tmp28 = static_cast<long>(222 + (2*i2) + (222*i1));
2022-11-23T01:30:20.1555689Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:30:20.1555795Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:30:20.1555904Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:30:20.1556021Z                             auto tmp33 = static_cast<long>(223 + (2*i2) + (222*i1));
2022-11-23T01:30:20.1556105Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:30:20.1556206Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:30:20.1556313Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:30:20.1556431Z                             auto tmp38 = static_cast<long>(224 + (2*i2) + (222*i1));
2022-11-23T01:30:20.1556524Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:30:20.1556625Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:30:20.1556732Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:30:20.1556836Z                             out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp41;
2022-11-23T01:30:20.1556928Z                             out_ptr1[i2 + (55*i1) + (3025*i0)] = tmp40;
2022-11-23T01:30:20.1556995Z                         }
2022-11-23T01:30:20.1557061Z                     }
2022-11-23T01:30:20.1557124Z                 }
2022-11-23T01:30:20.1557186Z             }
2022-11-23T01:30:20.1557248Z         }
2022-11-23T01:30:20.1557296Z     }
2022-11-23T01:30:20.1557354Z }
2022-11-23T01:30:20.1557433Z ''')
2022-11-23T01:30:20.1557439Z 
2022-11-23T01:30:20.1557443Z 
2022-11-23T01:30:20.1557532Z async_compile.wait(globals())
2022-11-23T01:30:20.1557603Z del async_compile
2022-11-23T01:30:20.1557608Z 
2022-11-23T01:30:20.1557676Z def call(args):
2022-11-23T01:30:20.1557743Z     arg0_1, = args
2022-11-23T01:30:20.1557812Z     args.clear()
2022-11-23T01:30:20.1558024Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1558265Z     buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1558431Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1558499Z     del arg0_1
2022-11-23T01:30:20.1558575Z     return (buf0, buf1, )
2022-11-23T01:30:20.1558579Z 
2022-11-23T01:30:20.1558583Z 
2022-11-23T01:30:20.1558659Z if __name__ == "__main__":
2022-11-23T01:30:20.1558772Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1558893Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1559108Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1559212Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1559217Z 
2022-11-23T01:30:20.1559280Z ok (1.572s)
2022-11-23T01:30:20.1559616Z   test_max_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:25:58,995] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1559932Z [2022-11-23 01:25:58,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1560148Z [2022-11-23 01:25:58,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1560401Z [2022-11-23 01:25:58,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1560676Z [2022-11-23 01:25:58,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1560996Z [2022-11-23 01:25:58,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1561326Z [2022-11-23 01:25:58,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1561653Z [2022-11-23 01:25:58,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1562026Z [2022-11-23 01:25:58,996] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d111790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990> 
2022-11-23T01:30:20.1562121Z  1991           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1562234Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:30:20.1562323Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1562412Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1562500Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1562586Z               10 BUILD_LIST               2
2022-11-23T01:30:20.1562663Z               12 BUILD_LIST               0
2022-11-23T01:30:20.1562747Z               14 CALL_METHOD              3
2022-11-23T01:30:20.1562822Z               16 RETURN_VALUE
2022-11-23T01:30:20.1562883Z  
2022-11-23T01:30:20.1562889Z 
2022-11-23T01:30:20.1563202Z [2022-11-23 01:25:58,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1991
2022-11-23T01:30:20.1563418Z [2022-11-23 01:25:58,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1563750Z [2022-11-23 01:25:59,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1564022Z [2022-11-23 01:25:59,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:30:20.1564317Z [2022-11-23 01:25:59,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:30:20.1564696Z [2022-11-23 01:25:59,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1565075Z [2022-11-23 01:25:59,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1565400Z [2022-11-23 01:25:59,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1565756Z [2022-11-23 01:25:59,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1565998Z [2022-11-23 01:25:59,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1566401Z [2022-11-23 01:25:59,004] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d111790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1990>
2022-11-23T01:30:20.1566643Z [2022-11-23 01:25:59,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1566874Z [2022-11-23 01:25:59,005] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1567122Z [2022-11-23 01:25:59,006] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1567369Z [2022-11-23 01:25:59,012] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1567544Z [2022-11-23 01:25:59,013] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1567677Z  __compiled_fn_311 <eval_with_key>.2683 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1567767Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1567918Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], []), {}
2022-11-23T01:30:20.1568136Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:30:20.1568353Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:30:20.1568464Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.1568470Z 
2022-11-23T01:30:20.1568789Z [2022-11-23 01:25:59,013] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1568880Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1568958Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1569042Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1569133Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1569218Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1569305Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1569379Z              12 RETURN_VALUE
2022-11-23T01:30:20.1569384Z 
2022-11-23T01:30:20.1569444Z  
2022-11-23T01:30:20.1569753Z [2022-11-23 01:25:59,013] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1569860Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_311)
2022-11-23T01:30:20.1569948Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1570036Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1570109Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1570192Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1570293Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1570381Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1570469Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1570546Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1570644Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1570756Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1570829Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1570913Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1570984Z              26 RETURN_VALUE
2022-11-23T01:30:20.1570989Z 
2022-11-23T01:30:20.1571037Z  
2022-11-23T01:30:20.1571217Z [2022-11-23 01:25:59,014] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1571284Z  - 
2022-11-23T01:30:20.1571400Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1571460Z             {
2022-11-23T01:30:20.1571599Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1571782Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1571888Z                 'obj_weakref': None
2022-11-23T01:30:20.1572140Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1572204Z             }
2022-11-23T01:30:20.1572266Z             
2022-11-23T01:30:20.1572334Z  - 
2022-11-23T01:30:20.1572456Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1572520Z             {
2022-11-23T01:30:20.1572650Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1572754Z                 'code': None,
2022-11-23T01:30:20.1572964Z                 'obj_weakref': <weakref at 0x7ff57eced350; to 'Tensor' at 0x7ff57edfb650>
2022-11-23T01:30:20.1573212Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1573274Z             }
2022-11-23T01:30:20.1573335Z             
2022-11-23T01:30:20.1573402Z  - 
2022-11-23T01:30:20.1573520Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1573580Z             {
2022-11-23T01:30:20.1573710Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1573879Z                 'code': ['___check_obj_id(model, 140692657060400)'],
2022-11-23T01:30:20.1573995Z                 'obj_weakref': None
2022-11-23T01:30:20.1574223Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1574285Z             }
2022-11-23T01:30:20.1574334Z             
2022-11-23T01:30:20.1574402Z  - 
2022-11-23T01:30:20.1574521Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1574580Z             {
2022-11-23T01:30:20.1574714Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1574930Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1575044Z                 'obj_weakref': None
2022-11-23T01:30:20.1575251Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1575312Z             }
2022-11-23T01:30:20.1575373Z             
2022-11-23T01:30:20.1575442Z  - 
2022-11-23T01:30:20.1575570Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1575630Z             {
2022-11-23T01:30:20.1575747Z                 'guard_types': None,
2022-11-23T01:30:20.1575841Z                 'code': None,
2022-11-23T01:30:20.1575956Z                 'obj_weakref': None
2022-11-23T01:30:20.1576074Z                 'guarded_class': None
2022-11-23T01:30:20.1576135Z             }
2022-11-23T01:30:20.1576195Z             
2022-11-23T01:30:20.1576558Z [2022-11-23 01:25:59,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 304
2022-11-23T01:30:20.1576925Z [2022-11-23 01:26:00,536] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d6/cd63ifqnqxq2aeqrfl5l6qr2fiod75w4eqf2by3kruuidjg5t64z.py
2022-11-23T01:30:20.1577175Z [2022-11-23 01:26:00,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 304
2022-11-23T01:30:20.1577196Z 
2022-11-23T01:30:20.1577276Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1577348Z import torch
2022-11-23T01:30:20.1577416Z import random
2022-11-23T01:30:20.1577532Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1577697Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1577704Z 
2022-11-23T01:30:20.1577782Z aten = torch.ops.aten
2022-11-23T01:30:20.1577914Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1577993Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1577999Z 
2022-11-23T01:30:20.1578003Z 
2022-11-23T01:30:20.1578136Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1578341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1578461Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1578563Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1578661Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:20.1578758Z {
2022-11-23T01:30:20.1578843Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1578905Z     {
2022-11-23T01:30:20.1578981Z         #pragma omp for 
2022-11-23T01:30:20.1579066Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:20.1579130Z         {
2022-11-23T01:30:20.1579207Z             #pragma GCC ivdep
2022-11-23T01:30:20.1579291Z             for(long i1=0; i1<18; i1+=1)
2022-11-23T01:30:20.1579342Z             {
2022-11-23T01:30:20.1579421Z                 #pragma GCC ivdep
2022-11-23T01:30:20.1579509Z                 for(long i2=0; i2<18; i2+=1)
2022-11-23T01:30:20.1579574Z                 {
2022-11-23T01:30:20.1579638Z                     {
2022-11-23T01:30:20.1579705Z                         {
2022-11-23T01:30:20.1579816Z                             auto tmp0 = in_ptr0[(3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1579919Z                             auto tmp2 = in_ptr0[1 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1580025Z                             auto tmp7 = in_ptr0[2 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1580140Z                             auto tmp12 = in_ptr0[55 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1580252Z                             auto tmp17 = in_ptr0[56 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1580359Z                             auto tmp22 = in_ptr0[57 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1580470Z                             auto tmp27 = in_ptr0[110 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1580580Z                             auto tmp32 = in_ptr0[111 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1580691Z                             auto tmp37 = in_ptr0[112 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:30:20.1580794Z                             auto tmp1 = static_cast<long>((3*i2) + (165*i1));
2022-11-23T01:30:20.1580908Z                             auto tmp3 = static_cast<long>(1 + (3*i2) + (165*i1));
2022-11-23T01:30:20.1581002Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:30:20.1581105Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:30:20.1581215Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:30:20.1581333Z                             auto tmp8 = static_cast<long>(2 + (3*i2) + (165*i1));
2022-11-23T01:30:20.1581426Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:30:20.1581526Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:30:20.1581623Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:30:20.1581739Z                             auto tmp13 = static_cast<long>(55 + (3*i2) + (165*i1));
2022-11-23T01:30:20.1581834Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:30:20.1581935Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:30:20.1582043Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:30:20.1582159Z                             auto tmp18 = static_cast<long>(56 + (3*i2) + (165*i1));
2022-11-23T01:30:20.1582254Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:30:20.1582384Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:30:20.1582482Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:30:20.1582597Z                             auto tmp23 = static_cast<long>(57 + (3*i2) + (165*i1));
2022-11-23T01:30:20.1582690Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:30:20.1582792Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:30:20.1582897Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:30:20.1583015Z                             auto tmp28 = static_cast<long>(110 + (3*i2) + (165*i1));
2022-11-23T01:30:20.1583109Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:30:20.1583210Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:30:20.1583304Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:30:20.1583448Z                             auto tmp33 = static_cast<long>(111 + (3*i2) + (165*i1));
2022-11-23T01:30:20.1583543Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:30:20.1583645Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:30:20.1583752Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:30:20.1583870Z                             auto tmp38 = static_cast<long>(112 + (3*i2) + (165*i1));
2022-11-23T01:30:20.1583964Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:30:20.1584066Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:30:20.1584160Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:30:20.1584262Z                             out_ptr0[i2 + (18*i1) + (324*i0)] = tmp41;
2022-11-23T01:30:20.1584366Z                             out_ptr1[i2 + (18*i1) + (324*i0)] = tmp40;
2022-11-23T01:30:20.1584434Z                         }
2022-11-23T01:30:20.1584497Z                     }
2022-11-23T01:30:20.1584561Z                 }
2022-11-23T01:30:20.1584624Z             }
2022-11-23T01:30:20.1584675Z         }
2022-11-23T01:30:20.1584735Z     }
2022-11-23T01:30:20.1584793Z }
2022-11-23T01:30:20.1584870Z ''')
2022-11-23T01:30:20.1584876Z 
2022-11-23T01:30:20.1584880Z 
2022-11-23T01:30:20.1584969Z async_compile.wait(globals())
2022-11-23T01:30:20.1585037Z del async_compile
2022-11-23T01:30:20.1585042Z 
2022-11-23T01:30:20.1585111Z def call(args):
2022-11-23T01:30:20.1585167Z     arg0_1, = args
2022-11-23T01:30:20.1585237Z     args.clear()
2022-11-23T01:30:20.1585458Z     buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1585675Z     buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1585838Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.1585909Z     del arg0_1
2022-11-23T01:30:20.1585984Z     return (buf0, buf1, )
2022-11-23T01:30:20.1585988Z 
2022-11-23T01:30:20.1585992Z 
2022-11-23T01:30:20.1586070Z if __name__ == "__main__":
2022-11-23T01:30:20.1586170Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1586291Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1586513Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1586616Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1586620Z 
2022-11-23T01:30:20.1586685Z ok (1.601s)
2022-11-23T01:30:20.1586996Z   test_max_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:26:00,593] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1587309Z [2022-11-23 01:26:00,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1587527Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1587810Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1588076Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1588393Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1588738Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1589061Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1589459Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000> 
2022-11-23T01:30:20.1589555Z  2001           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1589670Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:30:20.1589758Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1589847Z                6 LOAD_CONST               1 (13)
2022-11-23T01:30:20.1589925Z                8 LOAD_CONST               1 (13)
2022-11-23T01:30:20.1590010Z               10 BUILD_LIST               2
2022-11-23T01:30:20.1590093Z               12 BUILD_LIST               0
2022-11-23T01:30:20.1590175Z               14 CALL_METHOD              3
2022-11-23T01:30:20.1590249Z               16 RETURN_VALUE
2022-11-23T01:30:20.1590309Z  
2022-11-23T01:30:20.1590314Z 
2022-11-23T01:30:20.1590628Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2001
2022-11-23T01:30:20.1590846Z [2022-11-23 01:26:00,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1591163Z [2022-11-23 01:26:00,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1591438Z [2022-11-23 01:26:00,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:30:20.1591748Z [2022-11-23 01:26:00,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:30:20.1592089Z [2022-11-23 01:26:00,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1592468Z [2022-11-23 01:26:00,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1592799Z [2022-11-23 01:26:00,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1593155Z [2022-11-23 01:26:00,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1593400Z [2022-11-23 01:26:00,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1593776Z [2022-11-23 01:26:00,602] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1118f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2000>
2022-11-23T01:30:20.1594110Z [2022-11-23 01:26:00,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1594347Z [2022-11-23 01:26:00,602] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1594625Z [2022-11-23 01:26:00,603] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1594875Z [2022-11-23 01:26:00,607] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1595062Z [2022-11-23 01:26:00,607] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1595197Z  __compiled_fn_312 <eval_with_key>.2689 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1595288Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1595444Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [13, 13], []), {}
2022-11-23T01:30:20.1595660Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:30:20.1595879Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:30:20.1596012Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.1596030Z 
2022-11-23T01:30:20.1596344Z [2022-11-23 01:26:00,607] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1596435Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1596524Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1596612Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1596703Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1596786Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1596871Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1596933Z              12 RETURN_VALUE
2022-11-23T01:30:20.1596949Z 
2022-11-23T01:30:20.1596996Z  
2022-11-23T01:30:20.1597315Z [2022-11-23 01:26:00,607] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1597422Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_312)
2022-11-23T01:30:20.1597513Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1597599Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1597673Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1597760Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1597849Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1597948Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1598037Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1598111Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1598210Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1598293Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1598364Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1598441Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1598514Z              26 RETURN_VALUE
2022-11-23T01:30:20.1598519Z 
2022-11-23T01:30:20.1598577Z  
2022-11-23T01:30:20.1598759Z [2022-11-23 01:26:00,608] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1598827Z  - 
2022-11-23T01:30:20.1598942Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1599005Z             {
2022-11-23T01:30:20.1599132Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1599317Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1599435Z                 'obj_weakref': None
2022-11-23T01:30:20.1599656Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1599720Z             }
2022-11-23T01:30:20.1599784Z             
2022-11-23T01:30:20.1599850Z  - 
2022-11-23T01:30:20.1599961Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1600023Z             {
2022-11-23T01:30:20.1600165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1600268Z                 'code': None,
2022-11-23T01:30:20.1600525Z                 'obj_weakref': <weakref at 0x7ff57ed405e0; to 'Tensor' at 0x7ff57ef07c90>
2022-11-23T01:30:20.1600776Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1600837Z             }
2022-11-23T01:30:20.1600887Z             
2022-11-23T01:30:20.1600955Z  - 
2022-11-23T01:30:20.1601083Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1601145Z             {
2022-11-23T01:30:20.1601277Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1601447Z                 'code': ['___check_obj_id(model, 140692657056512)'],
2022-11-23T01:30:20.1601564Z                 'obj_weakref': None
2022-11-23T01:30:20.1601780Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1601874Z             }
2022-11-23T01:30:20.1601937Z             
2022-11-23T01:30:20.1602006Z  - 
2022-11-23T01:30:20.1602127Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1602188Z             {
2022-11-23T01:30:20.1602323Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1602527Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1602643Z                 'obj_weakref': None
2022-11-23T01:30:20.1602864Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1602927Z             }
2022-11-23T01:30:20.1602987Z             
2022-11-23T01:30:20.1603055Z  - 
2022-11-23T01:30:20.1603182Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1603230Z             {
2022-11-23T01:30:20.1603347Z                 'guard_types': None,
2022-11-23T01:30:20.1603451Z                 'code': None,
2022-11-23T01:30:20.1603566Z                 'obj_weakref': None
2022-11-23T01:30:20.1603688Z                 'guarded_class': None
2022-11-23T01:30:20.1603749Z             }
2022-11-23T01:30:20.1603812Z             
2022-11-23T01:30:20.1604060Z [2022-11-23 01:26:00,613] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 305
2022-11-23T01:30:20.1604305Z [2022-11-23 01:26:00,614] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices
2022-11-23T01:30:20.1604669Z [2022-11-23 01:26:00,617] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ss/cssf4bffopjz4oe5yzaesenr6nusgplbxu3f2lwtm5ob6wfvv4xt.py
2022-11-23T01:30:20.1604927Z [2022-11-23 01:26:00,617] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 305
2022-11-23T01:30:20.1604934Z 
2022-11-23T01:30:20.1605025Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1605093Z import torch
2022-11-23T01:30:20.1605159Z import random
2022-11-23T01:30:20.1605271Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1605380Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1605385Z 
2022-11-23T01:30:20.1605462Z aten = torch.ops.aten
2022-11-23T01:30:20.1605595Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1605685Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1605690Z 
2022-11-23T01:30:20.1605694Z 
2022-11-23T01:30:20.1605781Z async_compile.wait(globals())
2022-11-23T01:30:20.1605851Z del async_compile
2022-11-23T01:30:20.1605856Z 
2022-11-23T01:30:20.1605925Z def call(args):
2022-11-23T01:30:20.1605993Z     arg0_1, = args
2022-11-23T01:30:20.1606051Z     args.clear()
2022-11-23T01:30:20.1606182Z     buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False)
2022-11-23T01:30:20.1606248Z     del arg0_1
2022-11-23T01:30:20.1606313Z     buf1 = buf0[0]
2022-11-23T01:30:20.1606417Z     assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:30:20.1606482Z     buf2 = buf0[1]
2022-11-23T01:30:20.1606586Z     assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:30:20.1606640Z     del buf0
2022-11-23T01:30:20.1606716Z     return (buf1, buf2, )
2022-11-23T01:30:20.1606721Z 
2022-11-23T01:30:20.1606726Z 
2022-11-23T01:30:20.1606838Z if __name__ == "__main__":
2022-11-23T01:30:20.1606952Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1607073Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1607301Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1607405Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1607411Z 
2022-11-23T01:30:20.1607474Z ok (0.078s)
2022-11-23T01:30:20.1607808Z   test_max_pool2d_with_indices_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1608120Z [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1608362Z [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1608618Z [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1608894Z [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1609213Z [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1609556Z [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1609878Z [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1610254Z [2022-11-23 01:26:00,624] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932> 
2022-11-23T01:30:20.1610348Z  3933           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1610462Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:30:20.1610479Z 
2022-11-23T01:30:20.1610557Z 3934           4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1610647Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1610735Z                8 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1610821Z               10 LOAD_CONST               1 (3)
2022-11-23T01:30:20.1610909Z               12 BUILD_LIST               2
2022-11-23T01:30:20.1610994Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1611078Z               16 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1611153Z               18 BUILD_LIST               2
2022-11-23T01:30:20.1611238Z               20 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1611323Z               22 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1611407Z               24 BUILD_LIST               2
2022-11-23T01:30:20.1611490Z               26 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1611573Z               28 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1611655Z               30 BUILD_LIST               2
2022-11-23T01:30:20.1611733Z               32 LOAD_CONST               4 (True)
2022-11-23T01:30:20.1611816Z               34 LOAD_FAST                2 (c)
2022-11-23T01:30:20.1611821Z 
2022-11-23T01:30:20.1611906Z 3933          36 CALL_METHOD              8
2022-11-23T01:30:20.1611980Z               38 RETURN_VALUE
2022-11-23T01:30:20.1612039Z  
2022-11-23T01:30:20.1612044Z 
2022-11-23T01:30:20.1612357Z [2022-11-23 01:26:00,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T01:30:20.1612575Z [2022-11-23 01:26:00,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1612947Z [2022-11-23 01:26:00,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1613260Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3934
2022-11-23T01:30:20.1613538Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:30:20.1613855Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:30:20.1614203Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1614618Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1615039Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1615412Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1615816Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1616273Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1616897Z [2022-11-23 01:26:00,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1617333Z [2022-11-23 01:26:00,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1617803Z [2022-11-23 01:26:00,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1618229Z [2022-11-23 01:26:00,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1618689Z [2022-11-23 01:26:00,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1619186Z [2022-11-23 01:26:00,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1619625Z [2022-11-23 01:26:00,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1620156Z [2022-11-23 01:26:00,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.1620472Z [2022-11-23 01:26:00,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3933
2022-11-23T01:30:20.1620989Z [2022-11-23 01:26:00,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:30:20.1621238Z [2022-11-23 01:26:00,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1621683Z [2022-11-23 01:26:00,637] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3932>
2022-11-23T01:30:20.1621927Z [2022-11-23 01:26:00,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1622156Z [2022-11-23 01:26:00,637] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1622406Z [2022-11-23 01:26:00,638] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1622651Z [2022-11-23 01:26:00,643] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1622840Z [2022-11-23 01:26:00,643] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1622973Z  __compiled_fn_313 <eval_with_key>.2695 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1623050Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1623139Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1623224Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.1623420Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [3, 3], [2, 2], [1, 1], [1, 1], True, ex_2_), {}
2022-11-23T01:30:20.1623555Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:30:20.1623560Z 
2022-11-23T01:30:20.1623881Z [2022-11-23 01:26:00,644] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1623975Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1624068Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1624143Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1624238Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1624322Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1624413Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1624490Z              12 RETURN_VALUE
2022-11-23T01:30:20.1624495Z 
2022-11-23T01:30:20.1624557Z  
2022-11-23T01:30:20.1624878Z [2022-11-23 01:26:00,644] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1624986Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_313)
2022-11-23T01:30:20.1625065Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1625155Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1625233Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1625324Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1625412Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1625488Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1625577Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1625650Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1625728Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.1625816Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.1625935Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1626012Z              24 RETURN_VALUE
2022-11-23T01:30:20.1626017Z 
2022-11-23T01:30:20.1626081Z  
2022-11-23T01:30:20.1626265Z [2022-11-23 01:26:00,645] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1626323Z  - 
2022-11-23T01:30:20.1626443Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1626510Z             {
2022-11-23T01:30:20.1626651Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1626838Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:20.1626956Z                 'obj_weakref': None
2022-11-23T01:30:20.1627181Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1627233Z             }
2022-11-23T01:30:20.1627324Z             
2022-11-23T01:30:20.1627394Z  - 
2022-11-23T01:30:20.1627520Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1627584Z             {
2022-11-23T01:30:20.1627727Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1627834Z                 'code': None,
2022-11-23T01:30:20.1628032Z                 'obj_weakref': <weakref at 0x7ff57ed65a80; to 'Tensor' at 0x7ff57ed61530>
2022-11-23T01:30:20.1628284Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1628348Z             }
2022-11-23T01:30:20.1628412Z             
2022-11-23T01:30:20.1628481Z  - 
2022-11-23T01:30:20.1628604Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1628667Z             {
2022-11-23T01:30:20.1628797Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1628902Z                 'code': None,
2022-11-23T01:30:20.1629113Z                 'obj_weakref': <weakref at 0x7ff57ed64d60; to 'Tensor' at 0x7ff57ed43c90>
2022-11-23T01:30:20.1629367Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1629433Z             }
2022-11-23T01:30:20.1629497Z             
2022-11-23T01:30:20.1629566Z  - 
2022-11-23T01:30:20.1629676Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.1629738Z             {
2022-11-23T01:30:20.1629881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1629986Z                 'code': None,
2022-11-23T01:30:20.1630196Z                 'obj_weakref': <weakref at 0x7ff57ed65260; to 'Tensor' at 0x7ff57ed60810>
2022-11-23T01:30:20.1630445Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1630510Z             }
2022-11-23T01:30:20.1630559Z             
2022-11-23T01:30:20.1630627Z  - 
2022-11-23T01:30:20.1630757Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1630820Z             {
2022-11-23T01:30:20.1630959Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1631129Z                 'code': ['___check_obj_id(model, 140693067556768)'],
2022-11-23T01:30:20.1631247Z                 'obj_weakref': None
2022-11-23T01:30:20.1631463Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1631522Z             }
2022-11-23T01:30:20.1631584Z             
2022-11-23T01:30:20.1631653Z  - 
2022-11-23T01:30:20.1631772Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1631832Z             {
2022-11-23T01:30:20.1631966Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1632168Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1632284Z                 'obj_weakref': None
2022-11-23T01:30:20.1632501Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1632566Z             }
2022-11-23T01:30:20.1632626Z             
2022-11-23T01:30:20.1632693Z  - 
2022-11-23T01:30:20.1632822Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1632872Z             {
2022-11-23T01:30:20.1633017Z                 'guard_types': None,
2022-11-23T01:30:20.1633123Z                 'code': None,
2022-11-23T01:30:20.1633237Z                 'obj_weakref': None
2022-11-23T01:30:20.1633355Z                 'guarded_class': None
2022-11-23T01:30:20.1633419Z             }
2022-11-23T01:30:20.1633481Z             
2022-11-23T01:30:20.1633727Z [2022-11-23 01:26:00,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 306
2022-11-23T01:30:20.1634177Z [2022-11-23 01:26:02,169] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ny/cnybvilsvmhqsfaua2zrg4yjxaqlu4rsy4skfsswlswcshappzkf.py
2022-11-23T01:30:20.1634441Z [2022-11-23 01:26:02,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 306
2022-11-23T01:30:20.1634482Z 
2022-11-23T01:30:20.1634574Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1634642Z import torch
2022-11-23T01:30:20.1634710Z import random
2022-11-23T01:30:20.1634830Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1634952Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1634957Z 
2022-11-23T01:30:20.1635022Z aten = torch.ops.aten
2022-11-23T01:30:20.1635156Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1635248Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1635252Z 
2022-11-23T01:30:20.1635257Z 
2022-11-23T01:30:20.1635390Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1635594Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1635710Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.1635813Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1635913Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1635963Z {
2022-11-23T01:30:20.1636060Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1636121Z     {
2022-11-23T01:30:20.1636199Z         #pragma omp for 
2022-11-23T01:30:20.1636281Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1636343Z         {
2022-11-23T01:30:20.1636409Z             #pragma GCC ivdep
2022-11-23T01:30:20.1636494Z             for(long i1=0; i1<40; i1+=1)
2022-11-23T01:30:20.1636554Z             {
2022-11-23T01:30:20.1636637Z                 #pragma GCC ivdep
2022-11-23T01:30:20.1636725Z                 for(long i2=0; i2<56; i2+=1)
2022-11-23T01:30:20.1636788Z                 {
2022-11-23T01:30:20.1636853Z                     {
2022-11-23T01:30:20.1636909Z                         {
2022-11-23T01:30:20.1637021Z                             auto tmp0 = static_cast<int>(i2 + (56*i1));
2022-11-23T01:30:20.1637129Z                             auto tmp1 = static_cast<int>((i1 / 2));
2022-11-23T01:30:20.1637236Z                             auto tmp2 = static_cast<int>((i2 / 2));
2022-11-23T01:30:20.1637349Z                             auto tmp3 = static_cast<int>(1 + (((1 + i1) / 2)));
2022-11-23T01:30:20.1637465Z                             auto tmp4 = static_cast<int>(1 + (((1 + i2) / 2)));
2022-11-23T01:30:20.1637568Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:30:20.1637681Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:30:20.1637775Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:30:20.1637874Z                             auto tmp8 = static_cast<int>(21);
2022-11-23T01:30:20.1637979Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:30:20.1638082Z                             auto tmp10 = static_cast<int>(29);
2022-11-23T01:30:20.1638190Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:30:20.1638284Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:30:20.1638377Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:30:20.1638478Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:30:20.1638638Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:30:20.1638747Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:30:20.1638895Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:30:20.1639001Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:30:20.1639119Z                             auto tmp19 = in_ptr0[tmp18 + (29*tmp16) + (609*i0)];
2022-11-23T01:30:20.1639236Z                             auto tmp20 = in_ptr1[tmp18 + (29*tmp16) + (609*i0)];
2022-11-23T01:30:20.1639331Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:30:20.1639437Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:30:20.1639528Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:30:20.1639649Z                             auto tmp24 = tmp7 + tmp14;
2022-11-23T01:30:20.1639755Z                             auto tmp25 = std::min(tmp24, tmp17);
2022-11-23T01:30:20.1639872Z                             auto tmp26 = in_ptr0[tmp25 + (29*tmp16) + (609*i0)];
2022-11-23T01:30:20.1639987Z                             auto tmp27 = in_ptr1[tmp25 + (29*tmp16) + (609*i0)];
2022-11-23T01:30:20.1640083Z                             auto tmp28 = tmp26 == tmp0;
2022-11-23T01:30:20.1640177Z                             auto tmp29 = tmp12 < tmp9;
2022-11-23T01:30:20.1640261Z                             auto tmp30 = tmp24 < tmp11;
2022-11-23T01:30:20.1640354Z                             auto tmp31 = tmp29 & tmp30;
2022-11-23T01:30:20.1640445Z                             auto tmp32 = tmp31 & tmp28;
2022-11-23T01:30:20.1640538Z                             auto tmp33 = tmp23 + tmp27;
2022-11-23T01:30:20.1640640Z                             auto tmp34 = tmp32 ? tmp33 : tmp23;
2022-11-23T01:30:20.1640734Z                             auto tmp35 = tmp6 + tmp14;
2022-11-23T01:30:20.1640839Z                             auto tmp36 = std::min(tmp35, tmp15);
2022-11-23T01:30:20.1640955Z                             auto tmp37 = in_ptr0[tmp18 + (29*tmp36) + (609*i0)];
2022-11-23T01:30:20.1641059Z                             auto tmp38 = in_ptr1[tmp18 + (29*tmp36) + (609*i0)];
2022-11-23T01:30:20.1641152Z                             auto tmp39 = tmp37 == tmp0;
2022-11-23T01:30:20.1641245Z                             auto tmp40 = tmp35 < tmp9;
2022-11-23T01:30:20.1641339Z                             auto tmp41 = tmp13 < tmp11;
2022-11-23T01:30:20.1641431Z                             auto tmp42 = tmp40 & tmp41;
2022-11-23T01:30:20.1641521Z                             auto tmp43 = tmp42 & tmp39;
2022-11-23T01:30:20.1641613Z                             auto tmp44 = tmp34 + tmp38;
2022-11-23T01:30:20.1641704Z                             auto tmp45 = tmp43 ? tmp44 : tmp34;
2022-11-23T01:30:20.1641818Z                             auto tmp46 = in_ptr0[tmp25 + (29*tmp36) + (609*i0)];
2022-11-23T01:30:20.1641935Z                             auto tmp47 = in_ptr1[tmp25 + (29*tmp36) + (609*i0)];
2022-11-23T01:30:20.1642030Z                             auto tmp48 = tmp46 == tmp0;
2022-11-23T01:30:20.1642122Z                             auto tmp49 = tmp40 & tmp30;
2022-11-23T01:30:20.1642212Z                             auto tmp50 = tmp49 & tmp48;
2022-11-23T01:30:20.1642303Z                             auto tmp51 = tmp45 + tmp47;
2022-11-23T01:30:20.1642405Z                             auto tmp52 = tmp50 ? tmp51 : tmp45;
2022-11-23T01:30:20.1642498Z                             out_ptr0[i2 + (56*i1) + (2240*i0)] = tmp52;
2022-11-23T01:30:20.1642566Z                         }
2022-11-23T01:30:20.1642631Z                     }
2022-11-23T01:30:20.1642693Z                 }
2022-11-23T01:30:20.1642756Z             }
2022-11-23T01:30:20.1642817Z         }
2022-11-23T01:30:20.1642878Z     }
2022-11-23T01:30:20.1642924Z }
2022-11-23T01:30:20.1643006Z ''')
2022-11-23T01:30:20.1643011Z 
2022-11-23T01:30:20.1643016Z 
2022-11-23T01:30:20.1643106Z async_compile.wait(globals())
2022-11-23T01:30:20.1643176Z del async_compile
2022-11-23T01:30:20.1643180Z 
2022-11-23T01:30:20.1643283Z def call(args):
2022-11-23T01:30:20.1643365Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1643437Z     args.clear()
2022-11-23T01:30:20.1643647Z     buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1643809Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1643875Z     del arg0_1
2022-11-23T01:30:20.1643939Z     del arg2_1
2022-11-23T01:30:20.1644008Z     return (buf0, )
2022-11-23T01:30:20.1644013Z 
2022-11-23T01:30:20.1644017Z 
2022-11-23T01:30:20.1644091Z if __name__ == "__main__":
2022-11-23T01:30:20.1644204Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1644323Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1644558Z     arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1644776Z     arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1644987Z     arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1645109Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1645114Z 
2022-11-23T01:30:20.1645181Z ok (1.551s)
2022-11-23T01:30:20.1645526Z   test_max_pool2d_with_indices_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:02,462] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1645840Z [2022-11-23 01:26:02,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1646058Z [2022-11-23 01:26:02,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1646312Z [2022-11-23 01:26:02,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1646578Z [2022-11-23 01:26:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1646897Z [2022-11-23 01:26:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1647241Z [2022-11-23 01:26:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1647559Z [2022-11-23 01:26:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1647930Z [2022-11-23 01:26:02,463] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d23f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958> 
2022-11-23T01:30:20.1648027Z  3959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1648153Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:30:20.1648159Z 
2022-11-23T01:30:20.1648250Z 3960           4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1648338Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1648423Z                8 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1648499Z               10 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1648583Z               12 BUILD_LIST               2
2022-11-23T01:30:20.1648670Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1648755Z               16 LOAD_CONST               2 (2)
2022-11-23T01:30:20.1648837Z               18 BUILD_LIST               2
2022-11-23T01:30:20.1648919Z               20 LOAD_CONST               3 (0)
2022-11-23T01:30:20.1649002Z               22 LOAD_CONST               3 (0)
2022-11-23T01:30:20.1649076Z               24 BUILD_LIST               2
2022-11-23T01:30:20.1649159Z               26 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1649280Z               28 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1649366Z               30 BUILD_LIST               2
2022-11-23T01:30:20.1649454Z               32 LOAD_CONST               4 (False)
2022-11-23T01:30:20.1649536Z               34 LOAD_FAST                2 (c)
2022-11-23T01:30:20.1649541Z 
2022-11-23T01:30:20.1649625Z 3959          36 CALL_METHOD              8
2022-11-23T01:30:20.1649688Z               38 RETURN_VALUE
2022-11-23T01:30:20.1649748Z  
2022-11-23T01:30:20.1649753Z 
2022-11-23T01:30:20.1650067Z [2022-11-23 01:26:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T01:30:20.1650281Z [2022-11-23 01:26:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1650654Z [2022-11-23 01:26:02,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1650968Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3960
2022-11-23T01:30:20.1651259Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:30:20.1651579Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:30:20.1651922Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1652305Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1652731Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1653089Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1653497Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1653939Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1654339Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1654772Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1655241Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1655660Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1656147Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1656746Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1657199Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1657685Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.1658042Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3959
2022-11-23T01:30:20.1658565Z [2022-11-23 01:26:02,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:30:20.1658813Z [2022-11-23 01:26:02,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1659191Z [2022-11-23 01:26:02,472] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d23f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3958>
2022-11-23T01:30:20.1659439Z [2022-11-23 01:26:02,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1659672Z [2022-11-23 01:26:02,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1659912Z [2022-11-23 01:26:02,475] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1660156Z [2022-11-23 01:26:02,479] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1660342Z [2022-11-23 01:26:02,479] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1660475Z  __compiled_fn_314 <eval_with_key>.2701 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1660565Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1660650Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1660734Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.1660932Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:30:20.1661052Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:30:20.1661058Z 
2022-11-23T01:30:20.1661378Z [2022-11-23 01:26:02,480] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1661470Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1661560Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1661647Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1661736Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1661819Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1661906Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1661969Z              12 RETURN_VALUE
2022-11-23T01:30:20.1661976Z 
2022-11-23T01:30:20.1662035Z  
2022-11-23T01:30:20.1662390Z [2022-11-23 01:26:02,480] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1662497Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_314)
2022-11-23T01:30:20.1662585Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1662676Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1662751Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1662838Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1662912Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1662983Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1663067Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1663150Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1663222Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.1663308Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.1663424Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1663485Z              24 RETURN_VALUE
2022-11-23T01:30:20.1663490Z 
2022-11-23T01:30:20.1663547Z  
2022-11-23T01:30:20.1663733Z [2022-11-23 01:26:02,481] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1663801Z  - 
2022-11-23T01:30:20.1663918Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1663980Z             {
2022-11-23T01:30:20.1664123Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1664296Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:20.1664415Z                 'obj_weakref': None
2022-11-23T01:30:20.1664639Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1664703Z             }
2022-11-23T01:30:20.1664766Z             
2022-11-23T01:30:20.1664835Z  - 
2022-11-23T01:30:20.1664959Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1665009Z             {
2022-11-23T01:30:20.1665153Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1665260Z                 'code': None,
2022-11-23T01:30:20.1665472Z                 'obj_weakref': <weakref at 0x7ff57eced300; to 'Tensor' at 0x7ff57edfa2a0>
2022-11-23T01:30:20.1665727Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1665791Z             }
2022-11-23T01:30:20.1665854Z             
2022-11-23T01:30:20.1665909Z  - 
2022-11-23T01:30:20.1666032Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1666096Z             {
2022-11-23T01:30:20.1666239Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1666347Z                 'code': None,
2022-11-23T01:30:20.1666558Z                 'obj_weakref': <weakref at 0x7ff57ed23d80; to 'Tensor' at 0x7ff57edf9030>
2022-11-23T01:30:20.1666812Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1666864Z             }
2022-11-23T01:30:20.1666927Z             
2022-11-23T01:30:20.1666998Z  - 
2022-11-23T01:30:20.1667122Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.1667187Z             {
2022-11-23T01:30:20.1667328Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1667435Z                 'code': None,
2022-11-23T01:30:20.1667633Z                 'obj_weakref': <weakref at 0x7ff57ed20450; to 'Tensor' at 0x7ff57edfae30>
2022-11-23T01:30:20.1667885Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1667950Z             }
2022-11-23T01:30:20.1668013Z             
2022-11-23T01:30:20.1668082Z  - 
2022-11-23T01:30:20.1668211Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1668273Z             {
2022-11-23T01:30:20.1668395Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1668564Z                 'code': ['___check_obj_id(model, 140692657053632)'],
2022-11-23T01:30:20.1668684Z                 'obj_weakref': None
2022-11-23T01:30:20.1668942Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1669006Z             }
2022-11-23T01:30:20.1669069Z             
2022-11-23T01:30:20.1669136Z  - 
2022-11-23T01:30:20.1669244Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1669306Z             {
2022-11-23T01:30:20.1669441Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1669661Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1669779Z                 'obj_weakref': None
2022-11-23T01:30:20.1670000Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1670066Z             }
2022-11-23T01:30:20.1670116Z             
2022-11-23T01:30:20.1670184Z  - 
2022-11-23T01:30:20.1670313Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1670405Z             {
2022-11-23T01:30:20.1670525Z                 'guard_types': None,
2022-11-23T01:30:20.1670632Z                 'code': None,
2022-11-23T01:30:20.1670751Z                 'obj_weakref': None
2022-11-23T01:30:20.1670858Z                 'guarded_class': None
2022-11-23T01:30:20.1670921Z             }
2022-11-23T01:30:20.1670982Z             
2022-11-23T01:30:20.1671241Z [2022-11-23 01:26:02,486] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 307
2022-11-23T01:30:20.1671609Z [2022-11-23 01:26:03,918] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3j/c3jq7xinosjgmkflmad545q5qkftrtdkzqeoo7lvzdkaxoiwfh2h.py
2022-11-23T01:30:20.1671873Z [2022-11-23 01:26:03,918] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 307
2022-11-23T01:30:20.1671879Z 
2022-11-23T01:30:20.1671970Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1672037Z import torch
2022-11-23T01:30:20.1672095Z import random
2022-11-23T01:30:20.1672209Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1672326Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1672331Z 
2022-11-23T01:30:20.1672411Z aten = torch.ops.aten
2022-11-23T01:30:20.1672542Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1672631Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1672636Z 
2022-11-23T01:30:20.1672640Z 
2022-11-23T01:30:20.1672772Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1672976Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1673083Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.1673187Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1673285Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1673348Z {
2022-11-23T01:30:20.1673445Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1673505Z     {
2022-11-23T01:30:20.1673580Z         #pragma omp for 
2022-11-23T01:30:20.1673652Z         for(long i0=0; i0<8192; i0+=1)
2022-11-23T01:30:20.1673713Z         {
2022-11-23T01:30:20.1673859Z             #pragma GCC ivdep
2022-11-23T01:30:20.1673952Z             for(long i1=0; i1<37; i1+=1)
2022-11-23T01:30:20.1674015Z             {
2022-11-23T01:30:20.1674095Z                 #pragma GCC ivdep
2022-11-23T01:30:20.1674172Z                 for(long i2=0; i2<38; i2+=1)
2022-11-23T01:30:20.1674235Z                 {
2022-11-23T01:30:20.1674298Z                     {
2022-11-23T01:30:20.1674366Z                         {
2022-11-23T01:30:20.1674479Z                             auto tmp0 = static_cast<int>(i2 + (38*i1));
2022-11-23T01:30:20.1674592Z                             auto tmp1 = static_cast<int>(((1 + i1) / 2));
2022-11-23T01:30:20.1674705Z                             auto tmp2 = static_cast<int>(((1 + i2) / 2));
2022-11-23T01:30:20.1674817Z                             auto tmp3 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:30:20.1674916Z                             auto tmp4 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:30:20.1675053Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:30:20.1675170Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:30:20.1675277Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:30:20.1675379Z                             auto tmp8 = static_cast<int>(19);
2022-11-23T01:30:20.1675481Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:30:20.1675587Z                             auto tmp10 = std::min(tmp4, tmp8);
2022-11-23T01:30:20.1675671Z                             auto tmp11 = tmp6 + tmp5;
2022-11-23T01:30:20.1675764Z                             auto tmp12 = tmp7 + tmp5;
2022-11-23T01:30:20.1675864Z                             auto tmp13 = static_cast<int>(1);
2022-11-23T01:30:20.1676012Z                             auto tmp14 = tmp9 - tmp13;
2022-11-23T01:30:20.1676150Z                             auto tmp15 = std::min(tmp11, tmp14);
2022-11-23T01:30:20.1676297Z                             auto tmp16 = tmp10 - tmp13;
2022-11-23T01:30:20.1676407Z                             auto tmp17 = std::min(tmp12, tmp16);
2022-11-23T01:30:20.1676526Z                             auto tmp18 = in_ptr0[tmp17 + (19*tmp15) + (361*i0)];
2022-11-23T01:30:20.1676632Z                             auto tmp19 = in_ptr1[tmp17 + (19*tmp15) + (361*i0)];
2022-11-23T01:30:20.1676729Z                             auto tmp20 = tmp18 == tmp0;
2022-11-23T01:30:20.1676836Z                             auto tmp21 = static_cast<float>(0.0);
2022-11-23T01:30:20.1676939Z                             auto tmp22 = tmp20 ? tmp19 : tmp21;
2022-11-23T01:30:20.1677043Z                             out_ptr0[i2 + (38*i1) + (1406*i0)] = tmp22;
2022-11-23T01:30:20.1677112Z                         }
2022-11-23T01:30:20.1677178Z                     }
2022-11-23T01:30:20.1677240Z                 }
2022-11-23T01:30:20.1677293Z             }
2022-11-23T01:30:20.1677353Z         }
2022-11-23T01:30:20.1677413Z     }
2022-11-23T01:30:20.1677471Z }
2022-11-23T01:30:20.1677546Z ''')
2022-11-23T01:30:20.1677552Z 
2022-11-23T01:30:20.1677558Z 
2022-11-23T01:30:20.1677646Z async_compile.wait(globals())
2022-11-23T01:30:20.1677718Z del async_compile
2022-11-23T01:30:20.1677723Z 
2022-11-23T01:30:20.1677780Z def call(args):
2022-11-23T01:30:20.1677863Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1677933Z     args.clear()
2022-11-23T01:30:20.1678156Z     buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1678315Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1678381Z     del arg0_1
2022-11-23T01:30:20.1678447Z     del arg2_1
2022-11-23T01:30:20.1678505Z     return (buf0, )
2022-11-23T01:30:20.1678510Z 
2022-11-23T01:30:20.1678514Z 
2022-11-23T01:30:20.1678587Z if __name__ == "__main__":
2022-11-23T01:30:20.1678703Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1678822Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1679049Z     arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1679273Z     arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1679489Z     arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1679608Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1679613Z 
2022-11-23T01:30:20.1679666Z ok (2.013s)
2022-11-23T01:30:20.1680015Z   test_max_pool2d_with_indices_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:26:04,188] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1680330Z [2022-11-23 01:26:04,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1680549Z [2022-11-23 01:26:04,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1680827Z [2022-11-23 01:26:04,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1681103Z [2022-11-23 01:26:04,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1681420Z [2022-11-23 01:26:04,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1681762Z [2022-11-23 01:26:04,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1682082Z [2022-11-23 01:26:04,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1682482Z [2022-11-23 01:26:04,189] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983> 
2022-11-23T01:30:20.1682576Z  3984           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1682691Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:30:20.1682696Z 
2022-11-23T01:30:20.1682785Z 3985           4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1682871Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1682959Z                8 LOAD_CONST               1 (5)
2022-11-23T01:30:20.1683045Z               10 LOAD_CONST               1 (5)
2022-11-23T01:30:20.1683130Z               12 BUILD_LIST               2
2022-11-23T01:30:20.1683215Z               14 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1683288Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1683377Z               18 BUILD_LIST               2
2022-11-23T01:30:20.1683462Z               20 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1683547Z               22 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1683630Z               24 BUILD_LIST               2
2022-11-23T01:30:20.1683711Z               26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1683794Z               28 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1683865Z               30 BUILD_LIST               2
2022-11-23T01:30:20.1683952Z               32 LOAD_CONST               4 (False)
2022-11-23T01:30:20.1684035Z               34 LOAD_FAST                2 (c)
2022-11-23T01:30:20.1684040Z 
2022-11-23T01:30:20.1684126Z 3984          36 CALL_METHOD              8
2022-11-23T01:30:20.1684198Z               38 RETURN_VALUE
2022-11-23T01:30:20.1684257Z  
2022-11-23T01:30:20.1684261Z 
2022-11-23T01:30:20.1684574Z [2022-11-23 01:26:04,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T01:30:20.1684793Z [2022-11-23 01:26:04,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1685140Z [2022-11-23 01:26:04,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1685439Z [2022-11-23 01:26:04,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3985
2022-11-23T01:30:20.1685728Z [2022-11-23 01:26:04,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:30:20.1686046Z [2022-11-23 01:26:04,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:30:20.1686391Z [2022-11-23 01:26:04,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1686806Z [2022-11-23 01:26:04,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1687231Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1687600Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1688008Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1688482Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1688875Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1689309Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1689780Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1690206Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1690660Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1691155Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1691604Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1692092Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.1692394Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3984
2022-11-23T01:30:20.1692912Z [2022-11-23 01:26:04,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:30:20.1693155Z [2022-11-23 01:26:04,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1693574Z [2022-11-23 01:26:04,198] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2550, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3983>
2022-11-23T01:30:20.1693818Z [2022-11-23 01:26:04,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1694048Z [2022-11-23 01:26:04,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1694295Z [2022-11-23 01:26:04,199] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1694541Z [2022-11-23 01:26:04,202] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1694727Z [2022-11-23 01:26:04,203] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1694859Z  __compiled_fn_315 <eval_with_key>.2707 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1694966Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1695048Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1695130Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.1695329Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [5, 5], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:30:20.1695459Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:30:20.1695465Z 
2022-11-23T01:30:20.1695789Z [2022-11-23 01:26:04,203] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1695883Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1695971Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1696045Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1696136Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1696218Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1696307Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1696384Z              12 RETURN_VALUE
2022-11-23T01:30:20.1696389Z 
2022-11-23T01:30:20.1696568Z  
2022-11-23T01:30:20.1696889Z [2022-11-23 01:26:04,203] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1696997Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_315)
2022-11-23T01:30:20.1697074Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1697164Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1697239Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1697325Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1697413Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1697488Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1697574Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1697649Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1697723Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.1697810Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.1697900Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1697973Z              24 RETURN_VALUE
2022-11-23T01:30:20.1697978Z 
2022-11-23T01:30:20.1698037Z  
2022-11-23T01:30:20.1698217Z [2022-11-23 01:26:04,204] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1698274Z  - 
2022-11-23T01:30:20.1698394Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1698456Z             {
2022-11-23T01:30:20.1698594Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1698778Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:20.1698893Z                 'obj_weakref': None
2022-11-23T01:30:20.1699116Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1699178Z             }
2022-11-23T01:30:20.1699231Z             
2022-11-23T01:30:20.1699301Z  - 
2022-11-23T01:30:20.1699423Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1699484Z             {
2022-11-23T01:30:20.1699673Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1699782Z                 'code': None,
2022-11-23T01:30:20.1699982Z                 'obj_weakref': <weakref at 0x7ff57ececb30; to 'Tensor' at 0x7ff57edf9210>
2022-11-23T01:30:20.1700232Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1700293Z             }
2022-11-23T01:30:20.1700355Z             
2022-11-23T01:30:20.1700423Z  - 
2022-11-23T01:30:20.1700544Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1700606Z             {
2022-11-23T01:30:20.1700736Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1700839Z                 'code': None,
2022-11-23T01:30:20.1701049Z                 'obj_weakref': <weakref at 0x7ff57ed206d0; to 'Tensor' at 0x7ff57ee37560>
2022-11-23T01:30:20.1701340Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1701405Z             }
2022-11-23T01:30:20.1701466Z             
2022-11-23T01:30:20.1701533Z  - 
2022-11-23T01:30:20.1701643Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.1701702Z             {
2022-11-23T01:30:20.1701843Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1701947Z                 'code': None,
2022-11-23T01:30:20.1702155Z                 'obj_weakref': <weakref at 0x7ff57ed21d00; to 'Tensor' at 0x7ff57edf84a0>
2022-11-23T01:30:20.1702406Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1702466Z             }
2022-11-23T01:30:20.1702526Z             
2022-11-23T01:30:20.1702582Z  - 
2022-11-23T01:30:20.1702711Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1702775Z             {
2022-11-23T01:30:20.1702909Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1703078Z                 'code': ['___check_obj_id(model, 140692374269680)'],
2022-11-23T01:30:20.1703198Z                 'obj_weakref': None
2022-11-23T01:30:20.1703426Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1703476Z             }
2022-11-23T01:30:20.1703538Z             
2022-11-23T01:30:20.1703606Z  - 
2022-11-23T01:30:20.1703726Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1703788Z             {
2022-11-23T01:30:20.1703922Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1704125Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1704240Z                 'obj_weakref': None
2022-11-23T01:30:20.1704456Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1704519Z             }
2022-11-23T01:30:20.1704580Z             
2022-11-23T01:30:20.1704646Z  - 
2022-11-23T01:30:20.1704772Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1704824Z             {
2022-11-23T01:30:20.1704943Z                 'guard_types': None,
2022-11-23T01:30:20.1705046Z                 'code': None,
2022-11-23T01:30:20.1705161Z                 'obj_weakref': None
2022-11-23T01:30:20.1705281Z                 'guarded_class': None
2022-11-23T01:30:20.1705344Z             }
2022-11-23T01:30:20.1705404Z             
2022-11-23T01:30:20.1705651Z [2022-11-23 01:26:04,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 308
2022-11-23T01:30:20.1705668Z 
2022-11-23T01:30:20.1705747Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1705813Z import torch
2022-11-23T01:30:20.1705881Z import random
2022-11-23T01:30:20.1705993Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1706109Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1706116Z 
2022-11-23T01:30:20.1706191Z aten = torch.ops.aten
2022-11-23T01:30:20.1706334Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1706444Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1706449Z 
2022-11-23T01:30:20.1706454Z 
2022-11-23T01:30:20.1706589Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1706793Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1706910Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.1707013Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1707111Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1707173Z {
2022-11-23T01:30:20.1707271Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1707319Z     {
2022-11-23T01:30:20.1707395Z         #pragma omp for 
2022-11-23T01:30:20.1707479Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:20.1707573Z         {
2022-11-23T01:30:20.1707653Z             #pragma GCC ivdep
2022-11-23T01:30:20.1707736Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.1707785Z             {
2022-11-23T01:30:20.1707869Z                 #pragma GCC ivdep
2022-11-23T01:30:20.1707959Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:30:20.1708023Z                 {
2022-11-23T01:30:20.1708089Z                     {
2022-11-23T01:30:20.1708157Z                         {
2022-11-23T01:30:20.1708271Z                             auto tmp0 = static_cast<int>(i2 + (4*i1));
2022-11-23T01:30:20.1708429Z                             auto tmp1 = static_cast<int>((-2) + i1);
2022-11-23T01:30:20.1708594Z                             auto tmp2 = static_cast<int>((-2) + i2);
2022-11-23T01:30:20.1708701Z                             auto tmp3 = static_cast<int>(3 + i1);
2022-11-23T01:30:20.1708808Z                             auto tmp4 = static_cast<int>(3 + i2);
2022-11-23T01:30:20.1708913Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:30:20.1709027Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:30:20.1709137Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:30:20.1709240Z                             auto tmp8 = static_cast<int>(3);
2022-11-23T01:30:20.1709333Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:30:20.1709433Z                             auto tmp10 = static_cast<int>(4);
2022-11-23T01:30:20.1709540Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:30:20.1709635Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:30:20.1709728Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:30:20.1709834Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:30:20.1709981Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:30:20.1710090Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:30:20.1710229Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:30:20.1710338Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:30:20.1710459Z                             auto tmp19 = in_ptr0[tmp18 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1710577Z                             auto tmp20 = in_ptr1[tmp18 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1710678Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:30:20.1710787Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:30:20.1710891Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:30:20.1710990Z                             auto tmp24 = tmp7 + tmp14;
2022-11-23T01:30:20.1711085Z                             auto tmp25 = std::min(tmp24, tmp17);
2022-11-23T01:30:20.1711196Z                             auto tmp26 = in_ptr0[tmp25 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1711311Z                             auto tmp27 = in_ptr1[tmp25 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1711409Z                             auto tmp28 = tmp26 == tmp0;
2022-11-23T01:30:20.1711534Z                             auto tmp29 = tmp12 < tmp9;
2022-11-23T01:30:20.1711629Z                             auto tmp30 = tmp24 < tmp11;
2022-11-23T01:30:20.1711724Z                             auto tmp31 = tmp29 & tmp30;
2022-11-23T01:30:20.1711805Z                             auto tmp32 = tmp31 & tmp28;
2022-11-23T01:30:20.1711899Z                             auto tmp33 = tmp23 + tmp27;
2022-11-23T01:30:20.1712002Z                             auto tmp34 = tmp32 ? tmp33 : tmp23;
2022-11-23T01:30:20.1712105Z                             auto tmp35 = static_cast<int>(2);
2022-11-23T01:30:20.1712200Z                             auto tmp36 = tmp7 + tmp35;
2022-11-23T01:30:20.1712310Z                             auto tmp37 = std::min(tmp36, tmp17);
2022-11-23T01:30:20.1712424Z                             auto tmp38 = in_ptr0[tmp37 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1712564Z                             auto tmp39 = in_ptr1[tmp37 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1712649Z                             auto tmp40 = tmp38 == tmp0;
2022-11-23T01:30:20.1712743Z                             auto tmp41 = tmp36 < tmp11;
2022-11-23T01:30:20.1712836Z                             auto tmp42 = tmp29 & tmp41;
2022-11-23T01:30:20.1712928Z                             auto tmp43 = tmp42 & tmp40;
2022-11-23T01:30:20.1713020Z                             auto tmp44 = tmp34 + tmp39;
2022-11-23T01:30:20.1713120Z                             auto tmp45 = tmp43 ? tmp44 : tmp34;
2022-11-23T01:30:20.1713215Z                             auto tmp46 = tmp7 + tmp8;
2022-11-23T01:30:20.1713321Z                             auto tmp47 = std::min(tmp46, tmp17);
2022-11-23T01:30:20.1713424Z                             auto tmp48 = in_ptr0[tmp47 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1713537Z                             auto tmp49 = in_ptr1[tmp47 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1713637Z                             auto tmp50 = tmp48 == tmp0;
2022-11-23T01:30:20.1713730Z                             auto tmp51 = tmp46 < tmp11;
2022-11-23T01:30:20.1713894Z                             auto tmp52 = tmp29 & tmp51;
2022-11-23T01:30:20.1713988Z                             auto tmp53 = tmp52 & tmp50;
2022-11-23T01:30:20.1714078Z                             auto tmp54 = tmp45 + tmp49;
2022-11-23T01:30:20.1714169Z                             auto tmp55 = tmp53 ? tmp54 : tmp45;
2022-11-23T01:30:20.1714263Z                             auto tmp56 = tmp7 + tmp10;
2022-11-23T01:30:20.1714370Z                             auto tmp57 = std::min(tmp56, tmp17);
2022-11-23T01:30:20.1714485Z                             auto tmp58 = in_ptr0[tmp57 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1714600Z                             auto tmp59 = in_ptr1[tmp57 + (4*tmp16) + (12*i0)];
2022-11-23T01:30:20.1714693Z                             auto tmp60 = tmp58 == tmp0;
2022-11-23T01:30:20.1714788Z                             auto tmp61 = tmp56 < tmp11;
2022-11-23T01:30:20.1714881Z                             auto tmp62 = tmp29 & tmp61;
2022-11-23T01:30:20.1714964Z                             auto tmp63 = tmp62 & tmp60;
2022-11-23T01:30:20.1715055Z                             auto tmp64 = tmp55 + tmp59;
2022-11-23T01:30:20.1715158Z                             auto tmp65 = tmp63 ? tmp64 : tmp55;
2022-11-23T01:30:20.1715253Z                             auto tmp66 = tmp6 + tmp14;
2022-11-23T01:30:20.1715362Z                             auto tmp67 = std::min(tmp66, tmp15);
2022-11-23T01:30:20.1715474Z                             auto tmp68 = in_ptr0[tmp18 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1715585Z                             auto tmp69 = in_ptr1[tmp18 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1715678Z                             auto tmp70 = tmp68 == tmp0;
2022-11-23T01:30:20.1715761Z                             auto tmp71 = tmp66 < tmp9;
2022-11-23T01:30:20.1715850Z                             auto tmp72 = tmp13 < tmp11;
2022-11-23T01:30:20.1715944Z                             auto tmp73 = tmp71 & tmp72;
2022-11-23T01:30:20.1716034Z                             auto tmp74 = tmp73 & tmp70;
2022-11-23T01:30:20.1716183Z                             auto tmp75 = tmp65 + tmp69;
2022-11-23T01:30:20.1716286Z                             auto tmp76 = tmp74 ? tmp75 : tmp65;
2022-11-23T01:30:20.1716399Z                             auto tmp77 = in_ptr0[tmp25 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1716498Z                             auto tmp78 = in_ptr1[tmp25 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1716591Z                             auto tmp79 = tmp77 == tmp0;
2022-11-23T01:30:20.1716681Z                             auto tmp80 = tmp71 & tmp30;
2022-11-23T01:30:20.1716772Z                             auto tmp81 = tmp80 & tmp79;
2022-11-23T01:30:20.1716865Z                             auto tmp82 = tmp76 + tmp78;
2022-11-23T01:30:20.1716968Z                             auto tmp83 = tmp81 ? tmp82 : tmp76;
2022-11-23T01:30:20.1717107Z                             auto tmp84 = in_ptr0[tmp37 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1717221Z                             auto tmp85 = in_ptr1[tmp37 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1717303Z                             auto tmp86 = tmp84 == tmp0;
2022-11-23T01:30:20.1717397Z                             auto tmp87 = tmp71 & tmp41;
2022-11-23T01:30:20.1717487Z                             auto tmp88 = tmp87 & tmp86;
2022-11-23T01:30:20.1717580Z                             auto tmp89 = tmp83 + tmp85;
2022-11-23T01:30:20.1717683Z                             auto tmp90 = tmp88 ? tmp89 : tmp83;
2022-11-23T01:30:20.1717797Z                             auto tmp91 = in_ptr0[tmp47 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1717909Z                             auto tmp92 = in_ptr1[tmp47 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1717991Z                             auto tmp93 = tmp91 == tmp0;
2022-11-23T01:30:20.1718082Z                             auto tmp94 = tmp71 & tmp51;
2022-11-23T01:30:20.1718178Z                             auto tmp95 = tmp94 & tmp93;
2022-11-23T01:30:20.1718268Z                             auto tmp96 = tmp90 + tmp92;
2022-11-23T01:30:20.1718375Z                             auto tmp97 = tmp95 ? tmp96 : tmp90;
2022-11-23T01:30:20.1718491Z                             auto tmp98 = in_ptr0[tmp57 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1718602Z                             auto tmp99 = in_ptr1[tmp57 + (4*tmp67) + (12*i0)];
2022-11-23T01:30:20.1718698Z                             auto tmp100 = tmp98 == tmp0;
2022-11-23T01:30:20.1718782Z                             auto tmp101 = tmp71 & tmp61;
2022-11-23T01:30:20.1718880Z                             auto tmp102 = tmp101 & tmp100;
2022-11-23T01:30:20.1718972Z                             auto tmp103 = tmp97 + tmp99;
2022-11-23T01:30:20.1719077Z                             auto tmp104 = tmp102 ? tmp103 : tmp97;
2022-11-23T01:30:20.1719168Z                             auto tmp105 = tmp6 + tmp35;
2022-11-23T01:30:20.1719276Z                             auto tmp106 = std::min(tmp105, tmp15);
2022-11-23T01:30:20.1719391Z                             auto tmp107 = in_ptr0[tmp18 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1719509Z                             auto tmp108 = in_ptr1[tmp18 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1719596Z                             auto tmp109 = tmp107 == tmp0;
2022-11-23T01:30:20.1719689Z                             auto tmp110 = tmp105 < tmp9;
2022-11-23T01:30:20.1719786Z                             auto tmp111 = tmp110 & tmp72;
2022-11-23T01:30:20.1719884Z                             auto tmp112 = tmp111 & tmp109;
2022-11-23T01:30:20.1719980Z                             auto tmp113 = tmp104 + tmp108;
2022-11-23T01:30:20.1720083Z                             auto tmp114 = tmp112 ? tmp113 : tmp104;
2022-11-23T01:30:20.1720198Z                             auto tmp115 = in_ptr0[tmp25 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1720300Z                             auto tmp116 = in_ptr1[tmp25 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1720400Z                             auto tmp117 = tmp115 == tmp0;
2022-11-23T01:30:20.1720522Z                             auto tmp118 = tmp110 & tmp30;
2022-11-23T01:30:20.1720620Z                             auto tmp119 = tmp118 & tmp117;
2022-11-23T01:30:20.1720715Z                             auto tmp120 = tmp114 + tmp116;
2022-11-23T01:30:20.1720818Z                             auto tmp121 = tmp119 ? tmp120 : tmp114;
2022-11-23T01:30:20.1720932Z                             auto tmp122 = in_ptr0[tmp37 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1721043Z                             auto tmp123 = in_ptr1[tmp37 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1721128Z                             auto tmp124 = tmp122 == tmp0;
2022-11-23T01:30:20.1721224Z                             auto tmp125 = tmp110 & tmp41;
2022-11-23T01:30:20.1721319Z                             auto tmp126 = tmp125 & tmp124;
2022-11-23T01:30:20.1721413Z                             auto tmp127 = tmp121 + tmp123;
2022-11-23T01:30:20.1721544Z                             auto tmp128 = tmp126 ? tmp127 : tmp121;
2022-11-23T01:30:20.1721661Z                             auto tmp129 = in_ptr0[tmp47 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1721772Z                             auto tmp130 = in_ptr1[tmp47 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1721867Z                             auto tmp131 = tmp129 == tmp0;
2022-11-23T01:30:20.1721951Z                             auto tmp132 = tmp110 & tmp51;
2022-11-23T01:30:20.1722045Z                             auto tmp133 = tmp132 & tmp131;
2022-11-23T01:30:20.1722138Z                             auto tmp134 = tmp128 + tmp130;
2022-11-23T01:30:20.1722244Z                             auto tmp135 = tmp133 ? tmp134 : tmp128;
2022-11-23T01:30:20.1722355Z                             auto tmp136 = in_ptr0[tmp57 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1722465Z                             auto tmp137 = in_ptr1[tmp57 + (4*tmp106) + (12*i0)];
2022-11-23T01:30:20.1722561Z                             auto tmp138 = tmp136 == tmp0;
2022-11-23T01:30:20.1722644Z                             auto tmp139 = tmp110 & tmp61;
2022-11-23T01:30:20.1722741Z                             auto tmp140 = tmp139 & tmp138;
2022-11-23T01:30:20.1722835Z                             auto tmp141 = tmp135 + tmp137;
2022-11-23T01:30:20.1722940Z                             auto tmp142 = tmp140 ? tmp141 : tmp135;
2022-11-23T01:30:20.1723034Z                             auto tmp143 = tmp6 + tmp8;
2022-11-23T01:30:20.1723143Z                             auto tmp144 = std::min(tmp143, tmp15);
2022-11-23T01:30:20.1723258Z                             auto tmp145 = in_ptr0[tmp18 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1723370Z                             auto tmp146 = in_ptr1[tmp18 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1723453Z                             auto tmp147 = tmp145 == tmp0;
2022-11-23T01:30:20.1723548Z                             auto tmp148 = tmp143 < tmp9;
2022-11-23T01:30:20.1723643Z                             auto tmp149 = tmp148 & tmp72;
2022-11-23T01:30:20.1723736Z                             auto tmp150 = tmp149 & tmp147;
2022-11-23T01:30:20.1723832Z                             auto tmp151 = tmp142 + tmp146;
2022-11-23T01:30:20.1723936Z                             auto tmp152 = tmp150 ? tmp151 : tmp142;
2022-11-23T01:30:20.1724052Z                             auto tmp153 = in_ptr0[tmp25 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1724164Z                             auto tmp154 = in_ptr1[tmp25 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1724250Z                             auto tmp155 = tmp153 == tmp0;
2022-11-23T01:30:20.1724343Z                             auto tmp156 = tmp148 & tmp30;
2022-11-23T01:30:20.1724437Z                             auto tmp157 = tmp156 & tmp155;
2022-11-23T01:30:20.1724530Z                             auto tmp158 = tmp152 + tmp154;
2022-11-23T01:30:20.1724637Z                             auto tmp159 = tmp157 ? tmp158 : tmp152;
2022-11-23T01:30:20.1724752Z                             auto tmp160 = in_ptr0[tmp37 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1724864Z                             auto tmp161 = in_ptr1[tmp37 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1724984Z                             auto tmp162 = tmp160 == tmp0;
2022-11-23T01:30:20.1725068Z                             auto tmp163 = tmp148 & tmp41;
2022-11-23T01:30:20.1725161Z                             auto tmp164 = tmp163 & tmp162;
2022-11-23T01:30:20.1725258Z                             auto tmp165 = tmp159 + tmp161;
2022-11-23T01:30:20.1725362Z                             auto tmp166 = tmp164 ? tmp165 : tmp159;
2022-11-23T01:30:20.1725475Z                             auto tmp167 = in_ptr0[tmp47 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1725585Z                             auto tmp168 = in_ptr1[tmp47 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1725679Z                             auto tmp169 = tmp167 == tmp0;
2022-11-23T01:30:20.1725761Z                             auto tmp170 = tmp148 & tmp51;
2022-11-23T01:30:20.1725885Z                             auto tmp171 = tmp170 & tmp169;
2022-11-23T01:30:20.1725979Z                             auto tmp172 = tmp166 + tmp168;
2022-11-23T01:30:20.1726081Z                             auto tmp173 = tmp171 ? tmp172 : tmp166;
2022-11-23T01:30:20.1726192Z                             auto tmp174 = in_ptr0[tmp57 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1726305Z                             auto tmp175 = in_ptr1[tmp57 + (4*tmp144) + (12*i0)];
2022-11-23T01:30:20.1726402Z                             auto tmp176 = tmp174 == tmp0;
2022-11-23T01:30:20.1726495Z                             auto tmp177 = tmp148 & tmp61;
2022-11-23T01:30:20.1726579Z                             auto tmp178 = tmp177 & tmp176;
2022-11-23T01:30:20.1726673Z                             auto tmp179 = tmp173 + tmp175;
2022-11-23T01:30:20.1726775Z                             auto tmp180 = tmp178 ? tmp179 : tmp173;
2022-11-23T01:30:20.1726869Z                             auto tmp181 = tmp6 + tmp10;
2022-11-23T01:30:20.1726983Z                             auto tmp182 = std::min(tmp181, tmp15);
2022-11-23T01:30:20.1727097Z                             auto tmp183 = in_ptr0[tmp18 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1727208Z                             auto tmp184 = in_ptr1[tmp18 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1727303Z                             auto tmp185 = tmp183 == tmp0;
2022-11-23T01:30:20.1727387Z                             auto tmp186 = tmp181 < tmp9;
2022-11-23T01:30:20.1727482Z                             auto tmp187 = tmp186 & tmp72;
2022-11-23T01:30:20.1727577Z                             auto tmp188 = tmp187 & tmp185;
2022-11-23T01:30:20.1727672Z                             auto tmp189 = tmp180 + tmp184;
2022-11-23T01:30:20.1727776Z                             auto tmp190 = tmp188 ? tmp189 : tmp180;
2022-11-23T01:30:20.1727889Z                             auto tmp191 = in_ptr0[tmp25 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1728001Z                             auto tmp192 = in_ptr1[tmp25 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1728089Z                             auto tmp193 = tmp191 == tmp0;
2022-11-23T01:30:20.1728184Z                             auto tmp194 = tmp186 & tmp30;
2022-11-23T01:30:20.1728280Z                             auto tmp195 = tmp194 & tmp193;
2022-11-23T01:30:20.1728373Z                             auto tmp196 = tmp190 + tmp192;
2022-11-23T01:30:20.1728476Z                             auto tmp197 = tmp195 ? tmp196 : tmp190;
2022-11-23T01:30:20.1728588Z                             auto tmp198 = in_ptr0[tmp37 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1728700Z                             auto tmp199 = in_ptr1[tmp37 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1728799Z                             auto tmp200 = tmp198 == tmp0;
2022-11-23T01:30:20.1728882Z                             auto tmp201 = tmp186 & tmp41;
2022-11-23T01:30:20.1728977Z                             auto tmp202 = tmp201 & tmp200;
2022-11-23T01:30:20.1729074Z                             auto tmp203 = tmp197 + tmp199;
2022-11-23T01:30:20.1729175Z                             auto tmp204 = tmp202 ? tmp203 : tmp197;
2022-11-23T01:30:20.1729325Z                             auto tmp205 = in_ptr0[tmp47 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1729437Z                             auto tmp206 = in_ptr1[tmp47 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1729531Z                             auto tmp207 = tmp205 == tmp0;
2022-11-23T01:30:20.1729625Z                             auto tmp208 = tmp186 & tmp51;
2022-11-23T01:30:20.1729707Z                             auto tmp209 = tmp208 & tmp207;
2022-11-23T01:30:20.1729801Z                             auto tmp210 = tmp204 + tmp206;
2022-11-23T01:30:20.1729902Z                             auto tmp211 = tmp209 ? tmp210 : tmp204;
2022-11-23T01:30:20.1730012Z                             auto tmp212 = in_ptr0[tmp57 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1730120Z                             auto tmp213 = in_ptr1[tmp57 + (4*tmp182) + (12*i0)];
2022-11-23T01:30:20.1730247Z                             auto tmp214 = tmp212 == tmp0;
2022-11-23T01:30:20.1730341Z                             auto tmp215 = tmp186 & tmp61;
2022-11-23T01:30:20.1730427Z                             auto tmp216 = tmp215 & tmp214;
2022-11-23T01:30:20.1730520Z                             auto tmp217 = tmp211 + tmp213;
2022-11-23T01:30:20.1730623Z                             auto tmp218 = tmp216 ? tmp217 : tmp211;
2022-11-23T01:30:20.1730726Z                             out_ptr0[i2 + (4*i1) + (12*i0)] = tmp218;
2022-11-23T01:30:20.1730794Z                         }
2022-11-23T01:30:20.1730862Z                     }
2022-11-23T01:30:20.1730927Z                 }
2022-11-23T01:30:20.1730989Z             }
2022-11-23T01:30:20.1731039Z         }
2022-11-23T01:30:20.1731099Z     }
2022-11-23T01:30:20.1731159Z }
2022-11-23T01:30:20.1731247Z ''')
2022-11-23T01:30:20.1731254Z 
2022-11-23T01:30:20.1731258Z 
2022-11-23T01:30:20.1731347Z async_compile.wait(globals())
2022-11-23T01:30:20.1731420Z del async_compile
2022-11-23T01:30:20.1731425Z 
2022-11-23T01:30:20.1731493Z def call(args):
2022-11-23T01:30:20.1731563Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1731633Z     args.clear()
2022-11-23T01:30:20.1731851Z     buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1732016Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1732082Z     del arg0_1
2022-11-23T01:30:20.1732146Z     del arg2_1
2022-11-23T01:30:20.1732215Z     return (buf0, )
2022-11-23T01:30:20.1732220Z 
2022-11-23T01:30:20.1732224Z 
2022-11-23T01:30:20.1732287Z if __name__ == "__main__":
2022-11-23T01:30:20.1732401Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1732521Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1732734Z     arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1732948Z     arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1733154Z     arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1733275Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1733646Z [2022-11-23 01:26:06,025] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h4/ch4rmzmt6fgcoqquftpggnyr2avme4comgmdkbz7fmekad7xcb2c.py
2022-11-23T01:30:20.1733907Z [2022-11-23 01:26:06,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 308
2022-11-23T01:30:20.1733913Z 
2022-11-23T01:30:20.1733967Z ok (1.843s)
2022-11-23T01:30:20.1734310Z   test_max_pool2d_with_indices_backward5_cpu (__main__.CpuTests) ... [2022-11-23 01:26:06,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1734624Z [2022-11-23 01:26:06,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1734874Z [2022-11-23 01:26:06,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1735126Z [2022-11-23 01:26:06,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1735400Z [2022-11-23 01:26:06,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1735719Z [2022-11-23 01:26:06,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1736062Z [2022-11-23 01:26:06,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1736381Z [2022-11-23 01:26:06,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1736900Z [2022-11-23 01:26:06,034] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010> 
2022-11-23T01:30:20.1736983Z  4011           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1737109Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:30:20.1737115Z 
2022-11-23T01:30:20.1737206Z 4012           4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1737295Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1737385Z                8 LOAD_CONST               1 (13)
2022-11-23T01:30:20.1737475Z               10 LOAD_CONST               1 (13)
2022-11-23T01:30:20.1737562Z               12 BUILD_LIST               2
2022-11-23T01:30:20.1737650Z               14 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1737726Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1737813Z               18 BUILD_LIST               2
2022-11-23T01:30:20.1737900Z               20 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1737987Z               22 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1738069Z               24 BUILD_LIST               2
2022-11-23T01:30:20.1738151Z               26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1738234Z               28 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1738305Z               30 BUILD_LIST               2
2022-11-23T01:30:20.1738401Z               32 LOAD_CONST               4 (False)
2022-11-23T01:30:20.1738488Z               34 LOAD_FAST                2 (c)
2022-11-23T01:30:20.1738492Z 
2022-11-23T01:30:20.1738580Z 4011          36 CALL_METHOD              8
2022-11-23T01:30:20.1738659Z               38 RETURN_VALUE
2022-11-23T01:30:20.1738721Z  
2022-11-23T01:30:20.1738726Z 
2022-11-23T01:30:20.1739041Z [2022-11-23 01:26:06,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T01:30:20.1739259Z [2022-11-23 01:26:06,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1739594Z [2022-11-23 01:26:06,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1739908Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4012
2022-11-23T01:30:20.1740197Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:30:20.1740518Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:30:20.1740869Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1741306Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1741734Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1742106Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1742515Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1743006Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1743402Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1743835Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1744309Z [2022-11-23 01:26:06,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1744733Z [2022-11-23 01:26:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1745193Z [2022-11-23 01:26:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1745689Z [2022-11-23 01:26:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1746143Z [2022-11-23 01:26:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1746615Z [2022-11-23 01:26:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.1746927Z [2022-11-23 01:26:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4011
2022-11-23T01:30:20.1747448Z [2022-11-23 01:26:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:30:20.1747699Z [2022-11-23 01:26:06,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1748109Z [2022-11-23 01:26:06,043] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4010>
2022-11-23T01:30:20.1748360Z [2022-11-23 01:26:06,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1748593Z [2022-11-23 01:26:06,043] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1748844Z [2022-11-23 01:26:06,044] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1749097Z [2022-11-23 01:26:06,048] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1749286Z [2022-11-23 01:26:06,049] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1749421Z  __compiled_fn_316 <eval_with_key>.2713 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1749526Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1749613Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1749698Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.1749900Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:30:20.1750032Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:30:20.1750037Z 
2022-11-23T01:30:20.1750361Z [2022-11-23 01:26:06,049] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1750455Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1750546Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1750621Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1750709Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1750795Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1750886Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1750963Z              12 RETURN_VALUE
2022-11-23T01:30:20.1750968Z 
2022-11-23T01:30:20.1751033Z  
2022-11-23T01:30:20.1751357Z [2022-11-23 01:26:06,049] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1751465Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_316)
2022-11-23T01:30:20.1751542Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1751633Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1751711Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1751798Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1751882Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1751955Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1752040Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1752114Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1752189Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.1752273Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.1752362Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1752434Z              24 RETURN_VALUE
2022-11-23T01:30:20.1752439Z 
2022-11-23T01:30:20.1752497Z  
2022-11-23T01:30:20.1752679Z [2022-11-23 01:26:06,050] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1752735Z  - 
2022-11-23T01:30:20.1752851Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1752914Z             {
2022-11-23T01:30:20.1753054Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1753238Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:20.1753355Z                 'obj_weakref': None
2022-11-23T01:30:20.1753577Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1753630Z             }
2022-11-23T01:30:20.1753691Z             
2022-11-23T01:30:20.1753759Z  - 
2022-11-23T01:30:20.1753972Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1754034Z             {
2022-11-23T01:30:20.1754212Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1754319Z                 'code': None,
2022-11-23T01:30:20.1754520Z                 'obj_weakref': <weakref at 0x7ff57efca4d0; to 'Tensor' at 0x7ff57efeff10>
2022-11-23T01:30:20.1754771Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1754835Z             }
2022-11-23T01:30:20.1754897Z             
2022-11-23T01:30:20.1754963Z  - 
2022-11-23T01:30:20.1755085Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1755147Z             {
2022-11-23T01:30:20.1755278Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1755382Z                 'code': None,
2022-11-23T01:30:20.1755592Z                 'obj_weakref': <weakref at 0x7ff57ef79a30; to 'Tensor' at 0x7ff57ee37560>
2022-11-23T01:30:20.1755872Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1755937Z             }
2022-11-23T01:30:20.1755998Z             
2022-11-23T01:30:20.1756066Z  - 
2022-11-23T01:30:20.1756175Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.1756237Z             {
2022-11-23T01:30:20.1756376Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1756479Z                 'code': None,
2022-11-23T01:30:20.1756686Z                 'obj_weakref': <weakref at 0x7ff57ef7b100; to 'Tensor' at 0x7ff57efefce0>
2022-11-23T01:30:20.1756936Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1756998Z             }
2022-11-23T01:30:20.1757048Z             
2022-11-23T01:30:20.1757114Z  - 
2022-11-23T01:30:20.1757242Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1757306Z             {
2022-11-23T01:30:20.1757439Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1757606Z                 'code': ['___check_obj_id(model, 140692653065696)'],
2022-11-23T01:30:20.1757722Z                 'obj_weakref': None
2022-11-23T01:30:20.1757938Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1757998Z             }
2022-11-23T01:30:20.1758061Z             
2022-11-23T01:30:20.1758127Z  - 
2022-11-23T01:30:20.1758247Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1758309Z             {
2022-11-23T01:30:20.1758443Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1758647Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1758764Z                 'obj_weakref': None
2022-11-23T01:30:20.1758981Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1759044Z             }
2022-11-23T01:30:20.1759105Z             
2022-11-23T01:30:20.1759172Z  - 
2022-11-23T01:30:20.1759306Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1759358Z             {
2022-11-23T01:30:20.1759475Z                 'guard_types': None,
2022-11-23T01:30:20.1759579Z                 'code': None,
2022-11-23T01:30:20.1759693Z                 'obj_weakref': None
2022-11-23T01:30:20.1759810Z                 'guarded_class': None
2022-11-23T01:30:20.1759872Z             }
2022-11-23T01:30:20.1759933Z             
2022-11-23T01:30:20.1760180Z [2022-11-23 01:26:06,055] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 309
2022-11-23T01:30:20.1760439Z [2022-11-23 01:26:06,058] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward
2022-11-23T01:30:20.1760802Z [2022-11-23 01:26:06,060] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfux5xyoy7kdgjialfvxmlfwnlwio22747wkgi6cmiyqorlc2evs.py
2022-11-23T01:30:20.1761067Z [2022-11-23 01:26:06,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 309
2022-11-23T01:30:20.1761073Z 
2022-11-23T01:30:20.1761192Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1761261Z import torch
2022-11-23T01:30:20.1761329Z import random
2022-11-23T01:30:20.1761441Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1761549Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1761555Z 
2022-11-23T01:30:20.1761632Z aten = torch.ops.aten
2022-11-23T01:30:20.1761764Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1761855Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1761860Z 
2022-11-23T01:30:20.1761865Z 
2022-11-23T01:30:20.1761952Z async_compile.wait(globals())
2022-11-23T01:30:20.1762021Z del async_compile
2022-11-23T01:30:20.1762026Z 
2022-11-23T01:30:20.1762094Z def call(args):
2022-11-23T01:30:20.1762174Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1762266Z     args.clear()
2022-11-23T01:30:20.1762423Z     buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1)
2022-11-23T01:30:20.1762487Z     del arg0_1
2022-11-23T01:30:20.1762552Z     del arg1_1
2022-11-23T01:30:20.1762615Z     del arg2_1
2022-11-23T01:30:20.1762680Z     buf1 = buf0
2022-11-23T01:30:20.1762787Z     assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1))
2022-11-23T01:30:20.1762839Z     del buf0
2022-11-23T01:30:20.1762907Z     return (buf1, )
2022-11-23T01:30:20.1762912Z 
2022-11-23T01:30:20.1762916Z 
2022-11-23T01:30:20.1762989Z if __name__ == "__main__":
2022-11-23T01:30:20.1763100Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1763219Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1763439Z     arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1763659Z     arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1763877Z     arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1763987Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1763992Z 
2022-11-23T01:30:20.1764058Z ok (0.036s)
2022-11-23T01:30:20.1764400Z   test_max_pool2d_with_indices_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:26:06,066] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1764715Z [2022-11-23 01:26:06,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1764930Z [2022-11-23 01:26:06,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1765180Z [2022-11-23 01:26:06,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1765457Z [2022-11-23 01:26:06,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1765776Z [2022-11-23 01:26:06,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1766120Z [2022-11-23 01:26:06,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1766438Z [2022-11-23 01:26:06,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1766797Z [2022-11-23 01:26:06,067] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907> 
2022-11-23T01:30:20.1766891Z  3908           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1767018Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:30:20.1767023Z 
2022-11-23T01:30:20.1767114Z 3909           4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1767230Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1767318Z                8 LOAD_CONST               1 (2)
2022-11-23T01:30:20.1767405Z               10 LOAD_CONST               1 (2)
2022-11-23T01:30:20.1767491Z               12 BUILD_LIST               2
2022-11-23T01:30:20.1767565Z               14 LOAD_CONST               1 (2)
2022-11-23T01:30:20.1767648Z               16 LOAD_CONST               1 (2)
2022-11-23T01:30:20.1767735Z               18 BUILD_LIST               2
2022-11-23T01:30:20.1767819Z               20 LOAD_CONST               2 (0)
2022-11-23T01:30:20.1767901Z               22 LOAD_CONST               2 (0)
2022-11-23T01:30:20.1767984Z               24 BUILD_LIST               2
2022-11-23T01:30:20.1768067Z               26 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1768166Z               28 LOAD_CONST               3 (1)
2022-11-23T01:30:20.1768250Z               30 BUILD_LIST               2
2022-11-23T01:30:20.1768342Z               32 LOAD_CONST               4 (False)
2022-11-23T01:30:20.1768425Z               34 LOAD_FAST                2 (c)
2022-11-23T01:30:20.1768430Z 
2022-11-23T01:30:20.1768514Z 3908          36 CALL_METHOD              8
2022-11-23T01:30:20.1768589Z               38 RETURN_VALUE
2022-11-23T01:30:20.1768649Z  
2022-11-23T01:30:20.1768653Z 
2022-11-23T01:30:20.1768966Z [2022-11-23 01:26:06,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T01:30:20.1769171Z [2022-11-23 01:26:06,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1769518Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1769836Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3909
2022-11-23T01:30:20.1770125Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:30:20.1770443Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:30:20.1770790Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1771173Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1771598Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1771966Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1772376Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1772820Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1773215Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1773695Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1774166Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1774585Z [2022-11-23 01:26:06,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1775031Z [2022-11-23 01:26:06,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1775552Z [2022-11-23 01:26:06,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1776001Z [2022-11-23 01:26:06,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1776598Z [2022-11-23 01:26:06,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.1776916Z [2022-11-23 01:26:06,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3908
2022-11-23T01:30:20.1777440Z [2022-11-23 01:26:06,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:30:20.1777685Z [2022-11-23 01:26:06,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1778060Z [2022-11-23 01:26:06,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3907>
2022-11-23T01:30:20.1778302Z [2022-11-23 01:26:06,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1778535Z [2022-11-23 01:26:06,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1778787Z [2022-11-23 01:26:06,076] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1779036Z [2022-11-23 01:26:06,080] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1779223Z [2022-11-23 01:26:06,081] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1779347Z  __compiled_fn_317 <eval_with_key>.2719 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1779436Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1779522Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1779606Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.1779804Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:30:20.1779939Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:30:20.1779944Z 
2022-11-23T01:30:20.1780314Z [2022-11-23 01:26:06,081] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1780408Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1780485Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1780571Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1780663Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1780746Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1780834Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1780909Z              12 RETURN_VALUE
2022-11-23T01:30:20.1780914Z 
2022-11-23T01:30:20.1780974Z  
2022-11-23T01:30:20.1781291Z [2022-11-23 01:26:06,081] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1781428Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_317)
2022-11-23T01:30:20.1781520Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1781608Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1781684Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1781769Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1781853Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1781925Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1781997Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1782081Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1782155Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.1782243Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.1782332Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1782405Z              24 RETURN_VALUE
2022-11-23T01:30:20.1782410Z 
2022-11-23T01:30:20.1782471Z  
2022-11-23T01:30:20.1782643Z [2022-11-23 01:26:06,082] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1782712Z  - 
2022-11-23T01:30:20.1782831Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1782896Z             {
2022-11-23T01:30:20.1783036Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1783221Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:20.1783340Z                 'obj_weakref': None
2022-11-23T01:30:20.1783554Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1783617Z             }
2022-11-23T01:30:20.1783678Z             
2022-11-23T01:30:20.1783744Z  - 
2022-11-23T01:30:20.1783867Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1783927Z             {
2022-11-23T01:30:20.1784067Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1784159Z                 'code': None,
2022-11-23T01:30:20.1784372Z                 'obj_weakref': <weakref at 0x7ff5a80a3c90; to 'Tensor' at 0x7ff57ef79350>
2022-11-23T01:30:20.1784626Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1784688Z             }
2022-11-23T01:30:20.1784749Z             
2022-11-23T01:30:20.1784817Z  - 
2022-11-23T01:30:20.1784938Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1784988Z             {
2022-11-23T01:30:20.1785126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1785230Z                 'code': None,
2022-11-23T01:30:20.1785440Z                 'obj_weakref': <weakref at 0x7ff59c02ac50; to 'Tensor' at 0x7ff57edd42c0>
2022-11-23T01:30:20.1785692Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1785754Z             }
2022-11-23T01:30:20.1785814Z             
2022-11-23T01:30:20.1785870Z  - 
2022-11-23T01:30:20.1785990Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.1786053Z             {
2022-11-23T01:30:20.1786193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1786296Z                 'code': None,
2022-11-23T01:30:20.1786534Z                 'obj_weakref': <weakref at 0x7ff59c0286d0; to 'Tensor' at 0x7ff57ef78310>
2022-11-23T01:30:20.1786783Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1786844Z             }
2022-11-23T01:30:20.1786894Z             
2022-11-23T01:30:20.1786961Z  - 
2022-11-23T01:30:20.1787090Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1787151Z             {
2022-11-23T01:30:20.1787284Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1787451Z                 'code': ['___check_obj_id(model, 140692653077648)'],
2022-11-23T01:30:20.1787558Z                 'obj_weakref': None
2022-11-23T01:30:20.1787786Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1787879Z             }
2022-11-23T01:30:20.1787942Z             
2022-11-23T01:30:20.1788011Z  - 
2022-11-23T01:30:20.1788133Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1788195Z             {
2022-11-23T01:30:20.1788319Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1788533Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1788649Z                 'obj_weakref': None
2022-11-23T01:30:20.1788868Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1788932Z             }
2022-11-23T01:30:20.1788994Z             
2022-11-23T01:30:20.1789062Z  - 
2022-11-23T01:30:20.1789180Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1789243Z             {
2022-11-23T01:30:20.1789362Z                 'guard_types': None,
2022-11-23T01:30:20.1789468Z                 'code': None,
2022-11-23T01:30:20.1789589Z                 'obj_weakref': None
2022-11-23T01:30:20.1789710Z                 'guarded_class': None
2022-11-23T01:30:20.1789774Z             }
2022-11-23T01:30:20.1789826Z             
2022-11-23T01:30:20.1790089Z [2022-11-23 01:26:06,088] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 310
2022-11-23T01:30:20.1790455Z [2022-11-23 01:26:07,566] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2i/c2ie3qnj7bvubhw35x5a6nfyknhvhgsrtzzbp4jqkfxdszqitcke.py
2022-11-23T01:30:20.1790719Z [2022-11-23 01:26:07,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 310
2022-11-23T01:30:20.1790725Z 
2022-11-23T01:30:20.1790818Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1790887Z import torch
2022-11-23T01:30:20.1790957Z import random
2022-11-23T01:30:20.1791072Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1791180Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1791187Z 
2022-11-23T01:30:20.1791267Z aten = torch.ops.aten
2022-11-23T01:30:20.1791400Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1791493Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1791499Z 
2022-11-23T01:30:20.1791503Z 
2022-11-23T01:30:20.1791636Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1791840Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1791960Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.1792066Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1792152Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1792214Z {
2022-11-23T01:30:20.1792312Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1792374Z     {
2022-11-23T01:30:20.1792452Z         #pragma omp for 
2022-11-23T01:30:20.1792532Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1792598Z         {
2022-11-23T01:30:20.1792664Z             #pragma GCC ivdep
2022-11-23T01:30:20.1792749Z             for(long i1=0; i1<18; i1+=1)
2022-11-23T01:30:20.1792813Z             {
2022-11-23T01:30:20.1792922Z                 #pragma GCC ivdep
2022-11-23T01:30:20.1793016Z                 for(long i2=0; i2<14; i2+=1)
2022-11-23T01:30:20.1793082Z                 {
2022-11-23T01:30:20.1793150Z                     {
2022-11-23T01:30:20.1793205Z                         {
2022-11-23T01:30:20.1793317Z                             auto tmp0 = static_cast<int>(i2 + (14*i1));
2022-11-23T01:30:20.1793432Z                             auto tmp1 = static_cast<int>((i1 / 2));
2022-11-23T01:30:20.1793537Z                             auto tmp2 = static_cast<int>((i2 / 2));
2022-11-23T01:30:20.1793647Z                             auto tmp3 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:30:20.1793758Z                             auto tmp4 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:30:20.1793943Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:30:20.1794080Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:30:20.1794189Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:30:20.1794293Z                             auto tmp8 = static_cast<int>(9);
2022-11-23T01:30:20.1794398Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:30:20.1794499Z                             auto tmp10 = static_cast<int>(7);
2022-11-23T01:30:20.1794607Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:30:20.1794703Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:30:20.1794796Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:30:20.1794887Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:30:20.1795040Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:30:20.1795148Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:30:20.1795298Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:30:20.1795407Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:30:20.1795525Z                             auto tmp19 = in_ptr0[tmp18 + (7*tmp16) + (63*i0)];
2022-11-23T01:30:20.1795640Z                             auto tmp20 = in_ptr1[tmp18 + (7*tmp16) + (63*i0)];
2022-11-23T01:30:20.1795733Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:30:20.1795830Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:30:20.1795931Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:30:20.1796035Z                             out_ptr0[i2 + (14*i1) + (252*i0)] = tmp23;
2022-11-23T01:30:20.1796103Z                         }
2022-11-23T01:30:20.1796169Z                     }
2022-11-23T01:30:20.1796231Z                 }
2022-11-23T01:30:20.1796292Z             }
2022-11-23T01:30:20.1796342Z         }
2022-11-23T01:30:20.1796403Z     }
2022-11-23T01:30:20.1796462Z }
2022-11-23T01:30:20.1796539Z ''')
2022-11-23T01:30:20.1796545Z 
2022-11-23T01:30:20.1796549Z 
2022-11-23T01:30:20.1796637Z async_compile.wait(globals())
2022-11-23T01:30:20.1796709Z del async_compile
2022-11-23T01:30:20.1796714Z 
2022-11-23T01:30:20.1796782Z def call(args):
2022-11-23T01:30:20.1796851Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.1796919Z     args.clear()
2022-11-23T01:30:20.1797137Z     buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1797298Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1797365Z     del arg0_1
2022-11-23T01:30:20.1797430Z     del arg2_1
2022-11-23T01:30:20.1797497Z     return (buf0, )
2022-11-23T01:30:20.1797502Z 
2022-11-23T01:30:20.1797506Z 
2022-11-23T01:30:20.1797580Z if __name__ == "__main__":
2022-11-23T01:30:20.1797681Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1797805Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1798018Z     arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1798261Z     arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1798469Z     arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1798588Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.1798593Z 
2022-11-23T01:30:20.1798659Z ok (1.506s)
2022-11-23T01:30:20.1798956Z   test_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:26:07,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1799260Z [2022-11-23 01:26:07,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1799475Z [2022-11-23 01:26:07,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1799753Z [2022-11-23 01:26:07,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1800030Z [2022-11-23 01:26:07,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1800352Z [2022-11-23 01:26:07,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1800697Z [2022-11-23 01:26:07,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1801015Z [2022-11-23 01:26:07,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1801389Z [2022-11-23 01:26:07,574] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d112ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177> 
2022-11-23T01:30:20.1801482Z  2179           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1801576Z                2 LOAD_METHOD              0 (mean)
2022-11-23T01:30:20.1801652Z                4 CALL_METHOD              0
2022-11-23T01:30:20.1801658Z 
2022-11-23T01:30:20.1801746Z 2180           6 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1801835Z                8 LOAD_METHOD              0 (mean)
2022-11-23T01:30:20.1801970Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.1802054Z               12 CALL_METHOD              1
2022-11-23T01:30:20.1802059Z 
2022-11-23T01:30:20.1802150Z 2181          14 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:20.1802238Z               16 LOAD_ATTR                0 (mean)
2022-11-23T01:30:20.1802324Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1802444Z               20 LOAD_CONST               2 (-2)
2022-11-23T01:30:20.1802537Z               22 LOAD_CONST               3 (True)
2022-11-23T01:30:20.1802686Z               24 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:30:20.1802777Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.1802782Z 
2022-11-23T01:30:20.1802871Z 2182          28 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1802962Z               30 LOAD_METHOD              0 (mean)
2022-11-23T01:30:20.1803049Z               32 LOAD_CONST               5 (0)
2022-11-23T01:30:20.1803123Z               34 LOAD_CONST               6 (1)
2022-11-23T01:30:20.1803210Z               36 BUILD_LIST               2
2022-11-23T01:30:20.1803294Z               38 CALL_METHOD              1
2022-11-23T01:30:20.1803299Z 
2022-11-23T01:30:20.1803383Z 2178          40 BUILD_TUPLE              4
2022-11-23T01:30:20.1803459Z               42 RETURN_VALUE
2022-11-23T01:30:20.1803519Z  
2022-11-23T01:30:20.1803524Z 
2022-11-23T01:30:20.1803841Z [2022-11-23 01:26:07,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2179
2022-11-23T01:30:20.1804081Z [2022-11-23 01:26:07,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.1804328Z [2022-11-23 01:26:07,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable()]
2022-11-23T01:30:20.1804593Z [2022-11-23 01:26:07,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:30:20.1804902Z [2022-11-23 01:26:07,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2180
2022-11-23T01:30:20.1805139Z [2022-11-23 01:26:07,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.1805405Z [2022-11-23 01:26:07,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1805706Z [2022-11-23 01:26:07,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:30:20.1806101Z [2022-11-23 01:26:07,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:30:20.1806410Z [2022-11-23 01:26:07,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2181
2022-11-23T01:30:20.1806685Z [2022-11-23 01:26:07,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1807106Z [2022-11-23 01:26:07,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1807477Z [2022-11-23 01:26:07,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1807889Z [2022-11-23 01:26:07,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1808324Z [2022-11-23 01:26:07,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1808822Z [2022-11-23 01:26:07,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.1809352Z [2022-11-23 01:26:07,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.1809665Z [2022-11-23 01:26:07,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2182
2022-11-23T01:30:20.1809954Z [2022-11-23 01:26:07,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1810275Z [2022-11-23 01:26:07,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1810632Z [2022-11-23 01:26:07,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:30:20.1811025Z [2022-11-23 01:26:07,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:30:20.1811483Z [2022-11-23 01:26:07,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1811869Z [2022-11-23 01:26:07,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ListVariable()]
2022-11-23T01:30:20.1812181Z [2022-11-23 01:26:07,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2178
2022-11-23T01:30:20.1812503Z [2022-11-23 01:26:07,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1812776Z [2022-11-23 01:26:07,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1813158Z [2022-11-23 01:26:07,583] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d112ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2177>
2022-11-23T01:30:20.1813389Z [2022-11-23 01:26:07,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1813620Z [2022-11-23 01:26:07,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1813870Z [2022-11-23 01:26:07,586] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1814114Z [2022-11-23 01:26:07,592] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1814302Z [2022-11-23 01:26:07,592] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1814437Z  __compiled_fn_318 <eval_with_key>.2725 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1814526Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1814618Z call_method, mean, mean, (ex_0_,), {}
2022-11-23T01:30:20.1814757Z call_method, mean_1, mean, (ex_0_, -1), {}
2022-11-23T01:30:20.1814997Z call_function, mean_2, <built-in method mean of type object at 0x7ff5d7c59c60>, (ex_0_, -2), {'keepdim': True}
2022-11-23T01:30:20.1815093Z call_method, mean_3, mean, (ex_0_, [0, 1]), {}
2022-11-23T01:30:20.1815212Z output, output, output, ((mean, mean_1, mean_2, mean_3),), {}
2022-11-23T01:30:20.1815217Z 
2022-11-23T01:30:20.1815541Z [2022-11-23 01:26:07,593] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1815634Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1815721Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1815806Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1815899Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1815971Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1816058Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1816132Z              12 RETURN_VALUE
2022-11-23T01:30:20.1816138Z 
2022-11-23T01:30:20.1816198Z  
2022-11-23T01:30:20.1816654Z [2022-11-23 01:26:07,593] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1816763Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_318)
2022-11-23T01:30:20.1816853Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1816929Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1817005Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1817091Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1817192Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1817296Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1817383Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1817518Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1817621Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1817696Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1817769Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1817869Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1817956Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1818032Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.1818132Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1818216Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.1818278Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.1818365Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.1818440Z              38 RETURN_VALUE
2022-11-23T01:30:20.1818478Z 
2022-11-23T01:30:20.1818541Z  
2022-11-23T01:30:20.1818727Z [2022-11-23 01:26:07,594] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1818795Z  - 
2022-11-23T01:30:20.1818915Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1818966Z             {
2022-11-23T01:30:20.1819104Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1819289Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1819406Z                 'obj_weakref': None
2022-11-23T01:30:20.1819627Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1819692Z             }
2022-11-23T01:30:20.1819753Z             
2022-11-23T01:30:20.1819809Z  - 
2022-11-23T01:30:20.1819931Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1819993Z             {
2022-11-23T01:30:20.1820136Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1820243Z                 'code': None,
2022-11-23T01:30:20.1820453Z                 'obj_weakref': <weakref at 0x7ff57ef7b920; to 'Tensor' at 0x7ff5a974e070>
2022-11-23T01:30:20.1820710Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1820760Z             }
2022-11-23T01:30:20.1820821Z             
2022-11-23T01:30:20.1820889Z  - 
2022-11-23T01:30:20.1821017Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1821079Z             {
2022-11-23T01:30:20.1821211Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1821376Z                 'code': ['___check_obj_id(model, 140692653064688)'],
2022-11-23T01:30:20.1821481Z                 'obj_weakref': None
2022-11-23T01:30:20.1821708Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1821770Z             }
2022-11-23T01:30:20.1821832Z             
2022-11-23T01:30:20.1821898Z  - 
2022-11-23T01:30:20.1822020Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1822082Z             {
2022-11-23T01:30:20.1822204Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1822419Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1822536Z                 'obj_weakref': None
2022-11-23T01:30:20.1822754Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1822815Z             }
2022-11-23T01:30:20.1822874Z             
2022-11-23T01:30:20.1822941Z  - 
2022-11-23T01:30:20.1823062Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1823123Z             {
2022-11-23T01:30:20.1823240Z                 'guard_types': None,
2022-11-23T01:30:20.1823344Z                 'code': None,
2022-11-23T01:30:20.1823460Z                 'obj_weakref': None
2022-11-23T01:30:20.1823577Z                 'guarded_class': None
2022-11-23T01:30:20.1823637Z             }
2022-11-23T01:30:20.1823689Z             
2022-11-23T01:30:20.1823948Z [2022-11-23 01:26:07,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 311
2022-11-23T01:30:20.1824341Z [2022-11-23 01:26:09,085] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vb/cvbnt3qesqedml4mqb5cuxd3fo7lqciqflw3tk3u5wvpniihdu7a.py
2022-11-23T01:30:20.1824603Z [2022-11-23 01:26:09,086] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 311
2022-11-23T01:30:20.1824608Z 
2022-11-23T01:30:20.1824700Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1824767Z import torch
2022-11-23T01:30:20.1824834Z import random
2022-11-23T01:30:20.1824947Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1825054Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1825059Z 
2022-11-23T01:30:20.1825134Z aten = torch.ops.aten
2022-11-23T01:30:20.1825264Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1825385Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1825390Z 
2022-11-23T01:30:20.1825394Z 
2022-11-23T01:30:20.1825525Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1825730Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1825845Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.1825943Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:20.1826035Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1826131Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.1826224Z                        float* __restrict__ out_ptr3)
2022-11-23T01:30:20.1826283Z {
2022-11-23T01:30:20.1826367Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:30:20.1826447Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:30:20.1826508Z     {
2022-11-23T01:30:20.1826682Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.1826757Z         float tmp1 = 0;
2022-11-23T01:30:20.1826872Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.1826975Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1827037Z         {
2022-11-23T01:30:20.1827142Z             #pragma omp for reduction(+:tmp1_vec) 
2022-11-23T01:30:20.1827222Z             for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1827272Z             {
2022-11-23T01:30:20.1827405Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.1827482Z                 tmp1_vec += tmp0;
2022-11-23T01:30:20.1827544Z             }
2022-11-23T01:30:20.1827737Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.1827856Z             #pragma omp for simd simdlen(4) reduction(+:tmp1) 
2022-11-23T01:30:20.1827938Z             for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.1828003Z             {
2022-11-23T01:30:20.1828077Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1828150Z                 tmp1 += tmp0;
2022-11-23T01:30:20.1828213Z             }
2022-11-23T01:30:20.1828276Z         }
2022-11-23T01:30:20.1828352Z         out_ptr0[0] = tmp1;
2022-11-23T01:30:20.1828415Z     }
2022-11-23T01:30:20.1828499Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1828562Z     {
2022-11-23T01:30:20.1828638Z         #pragma omp for 
2022-11-23T01:30:20.1828719Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1828783Z         {
2022-11-23T01:30:20.1828845Z             {
2022-11-23T01:30:20.1829033Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.1829110Z                 float tmp1 = 0;
2022-11-23T01:30:20.1829216Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.1829306Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.1829373Z                 {
2022-11-23T01:30:20.1829517Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1829630Z                     tmp1_vec += tmp0;
2022-11-23T01:30:20.1829697Z                 }
2022-11-23T01:30:20.1829892Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.1830011Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:20.1830087Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.1830154Z                 {
2022-11-23T01:30:20.1830252Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.1830330Z                     tmp1 += tmp0;
2022-11-23T01:30:20.1830395Z                 }
2022-11-23T01:30:20.1830475Z                 out_ptr1[i0] = tmp1;
2022-11-23T01:30:20.1830526Z             }
2022-11-23T01:30:20.1830619Z         }
2022-11-23T01:30:20.1830700Z         #pragma omp single
2022-11-23T01:30:20.1830764Z         {
2022-11-23T01:30:20.1830827Z             {
2022-11-23T01:30:20.1830891Z                 {
2022-11-23T01:30:20.1830986Z                     auto tmp0 = out_ptr0[0];
2022-11-23T01:30:20.1831077Z                     auto tmp1 = static_cast<float>(64);
2022-11-23T01:30:20.1831169Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.1831255Z                     in_out_ptr0[0] = tmp2;
2022-11-23T01:30:20.1831321Z                 }
2022-11-23T01:30:20.1831385Z             }
2022-11-23T01:30:20.1831448Z         }
2022-11-23T01:30:20.1831523Z         #pragma omp for 
2022-11-23T01:30:20.1831592Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.1831654Z         {
2022-11-23T01:30:20.1831787Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:30:20.1831918Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:30:20.1832005Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.1832097Z             tmp2.store(in_out_ptr1 + 8*i0);
2022-11-23T01:30:20.1832160Z         }
2022-11-23T01:30:20.1832243Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.1832323Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:20.1832386Z         {
2022-11-23T01:30:20.1832467Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:20.1832567Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:30:20.1832648Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.1832727Z             in_out_ptr1[i0] = tmp2;
2022-11-23T01:30:20.1832776Z         }
2022-11-23T01:30:20.1832853Z         #pragma omp for 
2022-11-23T01:30:20.1832933Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.1832996Z         {
2022-11-23T01:30:20.1833077Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.1833138Z             {
2022-11-23T01:30:20.1833278Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:30:20.1833408Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8 + (8*i1) + (32*i0));
2022-11-23T01:30:20.1833557Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16 + (8*i1) + (32*i0));
2022-11-23T01:30:20.1833694Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr0 + 24 + (8*i1) + (32*i0));
2022-11-23T01:30:20.1833781Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1833937Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.1834024Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.1834158Z                 auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:30:20.1834244Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T01:30:20.1834333Z                 tmp8.store(out_ptr2 + (8*i0) + (8*i1));
2022-11-23T01:30:20.1834395Z             }
2022-11-23T01:30:20.1834487Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.1834570Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.1834635Z             {
2022-11-23T01:30:20.1834729Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:20.1834866Z                 auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2022-11-23T01:30:20.1834951Z                 auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2022-11-23T01:30:20.1835048Z                 auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2022-11-23T01:30:20.1835131Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1835215Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.1835298Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.1835397Z                 auto tmp7 = static_cast<float>(4);
2022-11-23T01:30:20.1835480Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T01:30:20.1835557Z                 out_ptr2[i1 + (8*i0)] = tmp8;
2022-11-23T01:30:20.1835620Z             }
2022-11-23T01:30:20.1835680Z         }
2022-11-23T01:30:20.1835753Z         #pragma omp for 
2022-11-23T01:30:20.1835833Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.1835920Z         {
2022-11-23T01:30:20.1836049Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.1836184Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (8*i0));
2022-11-23T01:30:20.1836256Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1836385Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.1836467Z             auto tmp4 = tmp2 / tmp3;
2022-11-23T01:30:20.1836558Z             tmp4.store(out_ptr3 + 8*i0);
2022-11-23T01:30:20.1836620Z         }
2022-11-23T01:30:20.1836713Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.1836794Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:20.1836842Z         {
2022-11-23T01:30:20.1836922Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1837008Z             auto tmp1 = in_ptr0[32 + i0];
2022-11-23T01:30:20.1837089Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1837186Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:30:20.1837269Z             auto tmp4 = tmp2 / tmp3;
2022-11-23T01:30:20.1837346Z             out_ptr3[i0] = tmp4;
2022-11-23T01:30:20.1837394Z         }
2022-11-23T01:30:20.1837456Z     }
2022-11-23T01:30:20.1837515Z }
2022-11-23T01:30:20.1837607Z ''')
2022-11-23T01:30:20.1837612Z 
2022-11-23T01:30:20.1837616Z 
2022-11-23T01:30:20.1837702Z async_compile.wait(globals())
2022-11-23T01:30:20.1837774Z del async_compile
2022-11-23T01:30:20.1837778Z 
2022-11-23T01:30:20.1837849Z def call(args):
2022-11-23T01:30:20.1837906Z     arg0_1, = args
2022-11-23T01:30:20.1837977Z     args.clear()
2022-11-23T01:30:20.1838163Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1838363Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1838446Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:30:20.1838525Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:30:20.1838732Z     buf4 = empty_strided((1, 2, 1, 8), (16, 8, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1838911Z     buf5 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1839121Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:30:20.1839188Z     del arg0_1
2022-11-23T01:30:20.1839276Z     return (buf2, buf3, buf4, buf5, )
2022-11-23T01:30:20.1839282Z 
2022-11-23T01:30:20.1839286Z 
2022-11-23T01:30:20.1839361Z if __name__ == "__main__":
2022-11-23T01:30:20.1839474Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1839596Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1839806Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1839901Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1839917Z 
2022-11-23T01:30:20.1839971Z ok (1.519s)
2022-11-23T01:30:20.1840293Z   test_min_max_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:26:09,093] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1840635Z [2022-11-23 01:26:09,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1840849Z [2022-11-23 01:26:09,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1841100Z [2022-11-23 01:26:09,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1841374Z [2022-11-23 01:26:09,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1841688Z [2022-11-23 01:26:09,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1842031Z [2022-11-23 01:26:09,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1842380Z [2022-11-23 01:26:09,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1842753Z [2022-11-23 01:26:09,094] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851> 
2022-11-23T01:30:20.1842833Z  852           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1842922Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1842994Z               4 BINARY_ADD
2022-11-23T01:30:20.1843087Z               6 LOAD_METHOD              0 (max)
2022-11-23T01:30:20.1843171Z               8 CALL_METHOD              0
2022-11-23T01:30:20.1843258Z              10 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1843342Z              12 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1843403Z              14 BINARY_ADD
2022-11-23T01:30:20.1843494Z              16 LOAD_METHOD              1 (min)
2022-11-23T01:30:20.1843582Z              18 CALL_METHOD              0
2022-11-23T01:30:20.1843673Z              20 LOAD_GLOBAL              2 (torch)
2022-11-23T01:30:20.1843761Z              22 LOAD_ATTR                3 (amax)
2022-11-23T01:30:20.1843846Z              24 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1843930Z              26 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1843989Z              28 BINARY_ADD
2022-11-23T01:30:20.1844079Z              30 LOAD_CONST               2 (True)
2022-11-23T01:30:20.1844229Z              32 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:30:20.1844317Z              34 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.1844402Z              36 BUILD_TUPLE              3
2022-11-23T01:30:20.1844475Z              38 RETURN_VALUE
2022-11-23T01:30:20.1844535Z  
2022-11-23T01:30:20.1844540Z 
2022-11-23T01:30:20.1844845Z [2022-11-23 01:26:09,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:852
2022-11-23T01:30:20.1845055Z [2022-11-23 01:26:09,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.1845290Z [2022-11-23 01:26:09,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.1845566Z [2022-11-23 01:26:09,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1845804Z [2022-11-23 01:26:09,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:30:20.1846077Z [2022-11-23 01:26:09,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:30:20.1846310Z [2022-11-23 01:26:09,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.1846569Z [2022-11-23 01:26:09,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1846894Z [2022-11-23 01:26:09,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1847156Z [2022-11-23 01:26:09,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1847448Z [2022-11-23 01:26:09,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:30:20.1847712Z [2022-11-23 01:26:09,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1848131Z [2022-11-23 01:26:09,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1848537Z [2022-11-23 01:26:09,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1848942Z [2022-11-23 01:26:09,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1849385Z [2022-11-23 01:26:09,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1849795Z [2022-11-23 01:26:09,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1850255Z [2022-11-23 01:26:09,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.1850751Z [2022-11-23 01:26:09,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.1851046Z [2022-11-23 01:26:09,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1851288Z [2022-11-23 01:26:09,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1851662Z [2022-11-23 01:26:09,104] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19a4a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 851>
2022-11-23T01:30:20.1851902Z [2022-11-23 01:26:09,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1852133Z [2022-11-23 01:26:09,104] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1852371Z [2022-11-23 01:26:09,106] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1852620Z [2022-11-23 01:26:09,114] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1852811Z [2022-11-23 01:26:09,114] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1852943Z  __compiled_fn_319 <eval_with_key>.2731 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1853030Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1853112Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1853287Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.1853383Z call_method, max_1, max, (add,), {}
2022-11-23T01:30:20.1853548Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.1853636Z call_method, min_1, min, (add_1,), {}
2022-11-23T01:30:20.1853834Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.1854080Z call_function, amax, <built-in method amax of type object at 0x7ff5d7c59c60>, (add_2,), {'keepdim': True}
2022-11-23T01:30:20.1854188Z output, output, output, ((max_1, min_1, amax),), {}
2022-11-23T01:30:20.1854193Z 
2022-11-23T01:30:20.1854513Z [2022-11-23 01:26:09,114] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1854604Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1854690Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1854765Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1854855Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1854966Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1855055Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1855131Z              12 RETURN_VALUE
2022-11-23T01:30:20.1855136Z 
2022-11-23T01:30:20.1855197Z  
2022-11-23T01:30:20.1855518Z [2022-11-23 01:26:09,114] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1855613Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_319)
2022-11-23T01:30:20.1855701Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1855789Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1855864Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1855951Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1856036Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1856109Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1856183Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.1856287Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1856386Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1856576Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1856652Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1856753Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1856840Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1856913Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.1857001Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1857090Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:20.1857165Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.1857252Z              36 BUILD_TUPLE              3
2022-11-23T01:30:20.1857325Z              38 RETURN_VALUE
2022-11-23T01:30:20.1857330Z 
2022-11-23T01:30:20.1857391Z  
2022-11-23T01:30:20.1857574Z [2022-11-23 01:26:09,115] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1857633Z  - 
2022-11-23T01:30:20.1857753Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1857816Z             {
2022-11-23T01:30:20.1857959Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1858145Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.1858261Z                 'obj_weakref': None
2022-11-23T01:30:20.1858484Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1858535Z             }
2022-11-23T01:30:20.1858596Z             
2022-11-23T01:30:20.1858662Z  - 
2022-11-23T01:30:20.1858785Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1858845Z             {
2022-11-23T01:30:20.1858984Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1859089Z                 'code': None,
2022-11-23T01:30:20.1859290Z                 'obj_weakref': <weakref at 0x7ff57efef970; to 'Tensor' at 0x7ff5a815a520>
2022-11-23T01:30:20.1859544Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1859663Z             }
2022-11-23T01:30:20.1859727Z             
2022-11-23T01:30:20.1859796Z  - 
2022-11-23T01:30:20.1859917Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1859978Z             {
2022-11-23T01:30:20.1860106Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1860210Z                 'code': None,
2022-11-23T01:30:20.1860420Z                 'obj_weakref': <weakref at 0x7ff5a84e39c0; to 'Tensor' at 0x7ff5a80f5ad0>
2022-11-23T01:30:20.1860673Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1860737Z             }
2022-11-23T01:30:20.1860803Z             
2022-11-23T01:30:20.1860871Z  - 
2022-11-23T01:30:20.1860989Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1861095Z             {
2022-11-23T01:30:20.1861229Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1861399Z                 'code': ['___check_obj_id(model, 140692653073184)'],
2022-11-23T01:30:20.1861518Z                 'obj_weakref': None
2022-11-23T01:30:20.1861748Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1861811Z             }
2022-11-23T01:30:20.1861861Z             
2022-11-23T01:30:20.1861928Z  - 
2022-11-23T01:30:20.1862048Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1862108Z             {
2022-11-23T01:30:20.1862241Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1862453Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1862570Z                 'obj_weakref': None
2022-11-23T01:30:20.1862776Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1862840Z             }
2022-11-23T01:30:20.1862901Z             
2022-11-23T01:30:20.1862967Z  - 
2022-11-23T01:30:20.1863099Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1863163Z             {
2022-11-23T01:30:20.1863282Z                 'guard_types': None,
2022-11-23T01:30:20.1863376Z                 'code': None,
2022-11-23T01:30:20.1863490Z                 'obj_weakref': None
2022-11-23T01:30:20.1863610Z                 'guarded_class': None
2022-11-23T01:30:20.1863671Z             }
2022-11-23T01:30:20.1863733Z             
2022-11-23T01:30:20.1863989Z [2022-11-23 01:26:09,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 312
2022-11-23T01:30:20.1864351Z [2022-11-23 01:26:10,574] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wm/cwm677eh36ne2wvocqfkb3nfwmgwqeskaosxhkzncx2ei6anapwf.py
2022-11-23T01:30:20.1864602Z [2022-11-23 01:26:10,574] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 312
2022-11-23T01:30:20.1864622Z 
2022-11-23T01:30:20.1864701Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1864768Z import torch
2022-11-23T01:30:20.1864836Z import random
2022-11-23T01:30:20.1864952Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1865070Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1865075Z 
2022-11-23T01:30:20.1865152Z aten = torch.ops.aten
2022-11-23T01:30:20.1865282Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1865360Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1865365Z 
2022-11-23T01:30:20.1865380Z 
2022-11-23T01:30:20.1865501Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1865705Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1865824Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1865928Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1866031Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.1866127Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.1866251Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.1866300Z {
2022-11-23T01:30:20.1866363Z     {
2022-11-23T01:30:20.1866732Z         #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:30:20.1866951Z         float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1867068Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.1867311Z         #pragma omp declare reduction(min:at::vec::Vectorized<float>:omp_out = at::vec::minimum(omp_out, omp_in)) initializer(omp_priv={{std::numeric_limits<float>::infinity()}})
2022-11-23T01:30:20.1867435Z         float tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1867552Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:30:20.1867771Z         float tmp7 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.1867877Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:20.1867980Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1868043Z         {
2022-11-23T01:30:20.1868205Z             #pragma omp for reduction(max:tmp3_vec) reduction(min:tmp4_vec) reduction(max:tmp7_vec) 
2022-11-23T01:30:20.1868288Z             for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.1868354Z             {
2022-11-23T01:30:20.1868489Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.1868624Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.1868701Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1868832Z                 auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.1868922Z                 auto tmp6 = tmp0 + tmp5;
2022-11-23T01:30:20.1869039Z                 tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T01:30:20.1869152Z                 tmp4_vec = at::vec::minimum(tmp4_vec, tmp2);
2022-11-23T01:30:20.1869264Z                 tmp7_vec = at::vec::maximum(tmp7_vec, tmp6);
2022-11-23T01:30:20.1869327Z             }
2022-11-23T01:30:20.1869538Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T01:30:20.1869747Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::minimum(x, y);}, tmp4_vec);
2022-11-23T01:30:20.1869938Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2022-11-23T01:30:20.1870106Z             #pragma omp for simd simdlen(4) reduction(max:tmp3) reduction(min:tmp4) reduction(max:tmp7) 
2022-11-23T01:30:20.1870197Z             for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.1870261Z             {
2022-11-23T01:30:20.1870349Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.1870438Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.1870523Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1870624Z                 auto tmp5 = static_cast<float>(1);
2022-11-23T01:30:20.1870697Z                 auto tmp6 = tmp0 + tmp5;
2022-11-23T01:30:20.1870793Z                 tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:30:20.1870891Z                 tmp4 = std::min(tmp4, tmp2);
2022-11-23T01:30:20.1870984Z                 tmp7 = std::max(tmp7, tmp6);
2022-11-23T01:30:20.1871048Z             }
2022-11-23T01:30:20.1871113Z         }
2022-11-23T01:30:20.1871190Z         out_ptr0[0] = tmp3;
2022-11-23T01:30:20.1871252Z         out_ptr1[0] = tmp4;
2022-11-23T01:30:20.1871326Z         out_ptr2[0] = tmp7;
2022-11-23T01:30:20.1871388Z     }
2022-11-23T01:30:20.1871449Z }
2022-11-23T01:30:20.1871529Z ''')
2022-11-23T01:30:20.1871535Z 
2022-11-23T01:30:20.1871539Z 
2022-11-23T01:30:20.1871630Z async_compile.wait(globals())
2022-11-23T01:30:20.1871702Z del async_compile
2022-11-23T01:30:20.1871734Z 
2022-11-23T01:30:20.1871792Z def call(args):
2022-11-23T01:30:20.1871866Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1871938Z     args.clear()
2022-11-23T01:30:20.1872121Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1872303Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1872496Z     buf2 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1872712Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.1872779Z     del arg0_1
2022-11-23T01:30:20.1872832Z     del arg1_1
2022-11-23T01:30:20.1872914Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:20.1872953Z 
2022-11-23T01:30:20.1872957Z 
2022-11-23T01:30:20.1873032Z if __name__ == "__main__":
2022-11-23T01:30:20.1873147Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1873270Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1873463Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1873653Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1873754Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1873771Z 
2022-11-23T01:30:20.1873888Z ok (1.488s)
2022-11-23T01:30:20.1874230Z   test_misaligned_address_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1874548Z [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1874766Z [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1875024Z [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1875301Z [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1875620Z [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1875968Z [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1876285Z [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1876664Z [2022-11-23 01:26:10,581] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d0b0500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452> 
2022-11-23T01:30:20.1876752Z  4453           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1876845Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.1876934Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:30:20.1877026Z                6 LOAD_ATTR                3 (gather)
2022-11-23T01:30:20.1877119Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:30:20.1877125Z 
2022-11-23T01:30:20.1877222Z 4454          10 LOAD_FAST                0 (sub_tensor_1)
2022-11-23T01:30:20.1877310Z               12 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1877416Z               14 LOAD_FAST                1 (unsqueeze_default)
2022-11-23T01:30:20.1877421Z 
2022-11-23T01:30:20.1877496Z 4453          16 CALL_METHOD              3
2022-11-23T01:30:20.1877599Z               18 STORE_FAST               2 (gather_default)
2022-11-23T01:30:20.1877606Z 
2022-11-23T01:30:20.1877706Z 4456          20 LOAD_FAST                2 (gather_default)
2022-11-23T01:30:20.1877782Z               22 RETURN_VALUE
2022-11-23T01:30:20.1877874Z  
2022-11-23T01:30:20.1877881Z 
2022-11-23T01:30:20.1878194Z [2022-11-23 01:26:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T01:30:20.1883132Z [2022-11-23 01:26:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1883548Z [2022-11-23 01:26:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1883856Z [2022-11-23 01:26:10,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.1884170Z [2022-11-23 01:26:10,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1884511Z [2022-11-23 01:26:10,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)]
2022-11-23T01:30:20.1884812Z [2022-11-23 01:26:10,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4454
2022-11-23T01:30:20.1885101Z [2022-11-23 01:26:10,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor_1 [TorchVariable(aten.gather.default)]
2022-11-23T01:30:20.1885400Z [2022-11-23 01:26:10,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()]
2022-11-23T01:30:20.1885766Z [2022-11-23 01:26:10,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze_default [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1886079Z [2022-11-23 01:26:10,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4453
2022-11-23T01:30:20.1886453Z [2022-11-23 01:26:10,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.1886716Z [2022-11-23 01:26:10,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather_default [TensorVariable()]
2022-11-23T01:30:20.1887023Z [2022-11-23 01:26:10,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4456
2022-11-23T01:30:20.1887253Z [2022-11-23 01:26:10,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather_default []
2022-11-23T01:30:20.1887498Z [2022-11-23 01:26:10,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1887869Z [2022-11-23 01:26:10,590] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d0b0500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4452>
2022-11-23T01:30:20.1888119Z [2022-11-23 01:26:10,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1888353Z [2022-11-23 01:26:10,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1888610Z [2022-11-23 01:26:10,591] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1888860Z [2022-11-23 01:26:10,595] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1889045Z [2022-11-23 01:26:10,595] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1889180Z  __compiled_fn_320 <eval_with_key>.2737 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1889273Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1889360Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1889492Z call_function, gather_default, aten.gather.default, (ex_0_, 1, ex_1_), {}
2022-11-23T01:30:20.1889604Z output, output, output, ((gather_default,),), {}
2022-11-23T01:30:20.1889611Z 
2022-11-23T01:30:20.1889974Z [2022-11-23 01:26:10,595] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1890071Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1890162Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1890249Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1890342Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1890427Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1890503Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1890578Z              12 RETURN_VALUE
2022-11-23T01:30:20.1890583Z 
2022-11-23T01:30:20.1890644Z  
2022-11-23T01:30:20.1890964Z [2022-11-23 01:26:10,595] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1891103Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_320)
2022-11-23T01:30:20.1891193Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1891284Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1891360Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1891437Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1891522Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1891596Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1891682Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.1891774Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1891849Z              18 RETURN_VALUE
2022-11-23T01:30:20.1891854Z 
2022-11-23T01:30:20.1891920Z  
2022-11-23T01:30:20.1892091Z [2022-11-23 01:26:10,596] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1892162Z  - 
2022-11-23T01:30:20.1892279Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1892344Z             {
2022-11-23T01:30:20.1892485Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1892673Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.1892794Z                 'obj_weakref': None
2022-11-23T01:30:20.1893007Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1893072Z             }
2022-11-23T01:30:20.1893135Z             
2022-11-23T01:30:20.1893204Z  - 
2022-11-23T01:30:20.1893326Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1893389Z             {
2022-11-23T01:30:20.1893532Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1893626Z                 'code': None,
2022-11-23T01:30:20.1893836Z                 'obj_weakref': <weakref at 0x7ff57eda0130; to 'Tensor' at 0x7ff59c13a2a0>
2022-11-23T01:30:20.1894091Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1894158Z             }
2022-11-23T01:30:20.1894218Z             
2022-11-23T01:30:20.1894290Z  - 
2022-11-23T01:30:20.1894414Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1894464Z             {
2022-11-23T01:30:20.1894605Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1894712Z                 'code': None,
2022-11-23T01:30:20.1894923Z                 'obj_weakref': <weakref at 0x7ff5a974e070; to 'Tensor' at 0x7ff59c1381d0>
2022-11-23T01:30:20.1895177Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1895240Z             }
2022-11-23T01:30:20.1895303Z             
2022-11-23T01:30:20.1895358Z  - 
2022-11-23T01:30:20.1895487Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1895550Z             {
2022-11-23T01:30:20.1895685Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1895855Z                 'code': ['___check_obj_id(model, 140692659470832)'],
2022-11-23T01:30:20.1895974Z                 'obj_weakref': None
2022-11-23T01:30:20.1896234Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1896285Z             }
2022-11-23T01:30:20.1896347Z             
2022-11-23T01:30:20.1896534Z  - 
2022-11-23T01:30:20.1896657Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1896720Z             {
2022-11-23T01:30:20.1896857Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1897075Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1897179Z                 'obj_weakref': None
2022-11-23T01:30:20.1897399Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1897462Z             }
2022-11-23T01:30:20.1897525Z             
2022-11-23T01:30:20.1897645Z  - 
2022-11-23T01:30:20.1897781Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1897847Z             {
2022-11-23T01:30:20.1897956Z                 'guard_types': None,
2022-11-23T01:30:20.1898061Z                 'code': None,
2022-11-23T01:30:20.1898180Z                 'obj_weakref': None
2022-11-23T01:30:20.1898300Z                 'guarded_class': None
2022-11-23T01:30:20.1898363Z             }
2022-11-23T01:30:20.1898426Z             
2022-11-23T01:30:20.1898673Z [2022-11-23 01:26:10,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 313
2022-11-23T01:30:20.1899052Z [2022-11-23 01:26:12,024] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kh/ckheuap6atyzontzfxwblkjube5vf4eas4hrtyeac7pkgg2lp7hx.py
2022-11-23T01:30:20.1899319Z [2022-11-23 01:26:12,024] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 313
2022-11-23T01:30:20.1899325Z 
2022-11-23T01:30:20.1899419Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1899491Z import torch
2022-11-23T01:30:20.1899559Z import random
2022-11-23T01:30:20.1899673Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1899795Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1899801Z 
2022-11-23T01:30:20.1899878Z aten = torch.ops.aten
2022-11-23T01:30:20.1899998Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1900090Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1900095Z 
2022-11-23T01:30:20.1900100Z 
2022-11-23T01:30:20.1900235Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1900441Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1900558Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.1900661Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.1900759Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1900823Z {
2022-11-23T01:30:20.1900871Z     {
2022-11-23T01:30:20.1900936Z         {
2022-11-23T01:30:20.1901019Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.1901109Z             auto tmp1 = in_ptr1[tmp0];
2022-11-23T01:30:20.1901188Z             out_ptr0[0] = tmp1;
2022-11-23T01:30:20.1901251Z         }
2022-11-23T01:30:20.1901299Z     }
2022-11-23T01:30:20.1901358Z }
2022-11-23T01:30:20.1901435Z ''')
2022-11-23T01:30:20.1901440Z 
2022-11-23T01:30:20.1901444Z 
2022-11-23T01:30:20.1901533Z async_compile.wait(globals())
2022-11-23T01:30:20.1901605Z del async_compile
2022-11-23T01:30:20.1901610Z 
2022-11-23T01:30:20.1901679Z def call(args):
2022-11-23T01:30:20.1901755Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1901813Z     args.clear()
2022-11-23T01:30:20.1902011Z     buf0 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1902172Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1902243Z     del arg0_1
2022-11-23T01:30:20.1902308Z     del arg1_1
2022-11-23T01:30:20.1902379Z     return (buf0, )
2022-11-23T01:30:20.1902383Z 
2022-11-23T01:30:20.1902387Z 
2022-11-23T01:30:20.1902500Z if __name__ == "__main__":
2022-11-23T01:30:20.1902618Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1902728Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1902933Z     arg0_1 = rand_strided((1, 1000), (1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1903124Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.1903238Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1903243Z 
2022-11-23T01:30:20.1903311Z ok (1.450s)
2022-11-23T01:30:20.1903617Z   test_mm_views_cpu (__main__.CpuTests) ... [2022-11-23 01:26:12,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1903932Z [2022-11-23 01:26:12,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1904179Z [2022-11-23 01:26:12,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1904430Z [2022-11-23 01:26:12,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1904692Z [2022-11-23 01:26:12,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1905012Z [2022-11-23 01:26:12,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1905358Z [2022-11-23 01:26:12,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1905677Z [2022-11-23 01:26:12,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1906058Z [2022-11-23 01:26:12,031] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d2ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4125> 
2022-11-23T01:30:20.1906153Z  4126           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1906244Z                2 LOAD_METHOD              1 (mm)
2022-11-23T01:30:20.1906335Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1906431Z                6 LOAD_METHOD              2 (view)
2022-11-23T01:30:20.1906507Z                8 LOAD_CONST               1 (32)
2022-11-23T01:30:20.1906595Z               10 LOAD_CONST               1 (32)
2022-11-23T01:30:20.1906683Z               12 CALL_METHOD              2
2022-11-23T01:30:20.1906771Z               14 LOAD_FAST                1 (b)
2022-11-23T01:30:20.1906862Z               16 LOAD_METHOD              2 (view)
2022-11-23T01:30:20.1906951Z               18 LOAD_CONST               1 (32)
2022-11-23T01:30:20.1907040Z               20 LOAD_CONST               1 (32)
2022-11-23T01:30:20.1907114Z               22 CALL_METHOD              2
2022-11-23T01:30:20.1907201Z               24 CALL_METHOD              2
2022-11-23T01:30:20.1907277Z               26 RETURN_VALUE
2022-11-23T01:30:20.1907339Z  
2022-11-23T01:30:20.1907344Z 
2022-11-23T01:30:20.1907659Z [2022-11-23 01:26:12,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4126
2022-11-23T01:30:20.1907880Z [2022-11-23 01:26:12,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1908242Z [2022-11-23 01:26:12,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1908557Z [2022-11-23 01:26:12,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1908972Z [2022-11-23 01:26:12,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1909356Z [2022-11-23 01:26:12,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.1909760Z [2022-11-23 01:26:12,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:30:20.1910220Z [2022-11-23 01:26:12,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1910587Z [2022-11-23 01:26:12,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.1910959Z [2022-11-23 01:26:12,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1911373Z [2022-11-23 01:26:12,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.1911816Z [2022-11-23 01:26:12,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:30:20.1912305Z [2022-11-23 01:26:12,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1912684Z [2022-11-23 01:26:12,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1912932Z [2022-11-23 01:26:12,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1913312Z [2022-11-23 01:26:12,035] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d2ef0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4125>
2022-11-23T01:30:20.1913559Z [2022-11-23 01:26:12,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1913791Z [2022-11-23 01:26:12,035] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1914126Z [2022-11-23 01:26:12,036] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1914360Z [2022-11-23 01:26:12,041] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1914551Z [2022-11-23 01:26:12,041] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1914688Z  __compiled_fn_321 <eval_with_key>.2743 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1914781Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1914868Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.1914966Z call_method, view, view, (ex_0_, 32, 32), {}
2022-11-23T01:30:20.1915065Z call_method, view_1, view, (ex_1_, 32, 32), {}
2022-11-23T01:30:20.1915293Z call_function, mm, <built-in method mm of type object at 0x7ff5d7c59c60>, (view, view_1), {}
2022-11-23T01:30:20.1915372Z output, output, output, ((mm,),), {}
2022-11-23T01:30:20.1915378Z 
2022-11-23T01:30:20.1915704Z [2022-11-23 01:26:12,041] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1915832Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1915927Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1916015Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1916106Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1916191Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1916281Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1916343Z              12 RETURN_VALUE
2022-11-23T01:30:20.1916348Z 
2022-11-23T01:30:20.1916409Z  
2022-11-23T01:30:20.1916728Z [2022-11-23 01:26:12,041] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1916837Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_321)
2022-11-23T01:30:20.1916955Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1917044Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1917122Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1917199Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1917287Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1917362Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.1917450Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.1917538Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1917612Z              18 RETURN_VALUE
2022-11-23T01:30:20.1917617Z 
2022-11-23T01:30:20.1917678Z  
2022-11-23T01:30:20.1917860Z [2022-11-23 01:26:12,042] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1917916Z  - 
2022-11-23T01:30:20.1918037Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1918102Z             {
2022-11-23T01:30:20.1918242Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1918433Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.1918553Z                 'obj_weakref': None
2022-11-23T01:30:20.1918781Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1918833Z             }
2022-11-23T01:30:20.1918898Z             
2022-11-23T01:30:20.1918967Z  - 
2022-11-23T01:30:20.1919091Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1919155Z             {
2022-11-23T01:30:20.1919298Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1919391Z                 'code': None,
2022-11-23T01:30:20.1919606Z                 'obj_weakref': <weakref at 0x7ff5ad97be20; to 'Tensor' at 0x7ff57efe7100>
2022-11-23T01:30:20.1919862Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1919927Z             }
2022-11-23T01:30:20.1919990Z             
2022-11-23T01:30:20.1920062Z  - 
2022-11-23T01:30:20.1920185Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.1920235Z             {
2022-11-23T01:30:20.1920375Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1920484Z                 'code': None,
2022-11-23T01:30:20.1920695Z                 'obj_weakref': <weakref at 0x7ff57efc8400; to 'Tensor' at 0x7ff57efe7560>
2022-11-23T01:30:20.1920949Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1921013Z             }
2022-11-23T01:30:20.1921078Z             
2022-11-23T01:30:20.1921147Z  - 
2022-11-23T01:30:20.1921263Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1921327Z             {
2022-11-23T01:30:20.1921461Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1921630Z                 'code': ['___check_obj_id(model, 140692659478752)'],
2022-11-23T01:30:20.1921749Z                 'obj_weakref': None
2022-11-23T01:30:20.1921977Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1922043Z             }
2022-11-23T01:30:20.1922093Z             
2022-11-23T01:30:20.1922162Z  - 
2022-11-23T01:30:20.1922313Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1922379Z             {
2022-11-23T01:30:20.1922517Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1922733Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1922853Z                 'obj_weakref': None
2022-11-23T01:30:20.1923059Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1923122Z             }
2022-11-23T01:30:20.1923184Z             
2022-11-23T01:30:20.1923253Z  - 
2022-11-23T01:30:20.1923386Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1923450Z             {
2022-11-23T01:30:20.1923556Z                 'guard_types': None,
2022-11-23T01:30:20.1923692Z                 'code': None,
2022-11-23T01:30:20.1923809Z                 'obj_weakref': None
2022-11-23T01:30:20.1923931Z                 'guarded_class': None
2022-11-23T01:30:20.1923997Z             }
2022-11-23T01:30:20.1924062Z             
2022-11-23T01:30:20.1924321Z [2022-11-23 01:26:12,049] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 314
2022-11-23T01:30:20.1924688Z [2022-11-23 01:26:12,052] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7og2yfefstygnpgjac3tgab5i2h2koqnm6w6d6vjsfe7cbdr6zv.py
2022-11-23T01:30:20.1924938Z [2022-11-23 01:26:12,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 314
2022-11-23T01:30:20.1924944Z 
2022-11-23T01:30:20.1925038Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1925111Z import torch
2022-11-23T01:30:20.1925181Z import random
2022-11-23T01:30:20.1925294Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1925414Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1925422Z 
2022-11-23T01:30:20.1925500Z aten = torch.ops.aten
2022-11-23T01:30:20.1925634Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1925713Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1925718Z 
2022-11-23T01:30:20.1925723Z 
2022-11-23T01:30:20.1925810Z async_compile.wait(globals())
2022-11-23T01:30:20.1925882Z del async_compile
2022-11-23T01:30:20.1925888Z 
2022-11-23T01:30:20.1925958Z def call(args):
2022-11-23T01:30:20.1926034Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.1926106Z     args.clear()
2022-11-23T01:30:20.1926307Z     buf0 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1926414Z     aten.mm.out(arg0_1, as_strided(arg1_1, (32, 32), (32, 1)), out=buf0)
2022-11-23T01:30:20.1926483Z     del arg0_1
2022-11-23T01:30:20.1926549Z     del arg1_1
2022-11-23T01:30:20.1926620Z     return (buf0, )
2022-11-23T01:30:20.1926625Z 
2022-11-23T01:30:20.1926631Z 
2022-11-23T01:30:20.1926706Z if __name__ == "__main__":
2022-11-23T01:30:20.1926819Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1926943Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1927143Z     arg0_1 = rand_strided((32, 32), (1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1927337Z     arg1_1 = rand_strided((32, 1, 32), (32, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1927451Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.1927456Z 
2022-11-23T01:30:20.1927523Z ok (0.028s)
2022-11-23T01:30:20.1927838Z   test_move_arange_cpu (__main__.CpuTests) ... [2022-11-23 01:26:12,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1928157Z [2022-11-23 01:26:12,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1928373Z [2022-11-23 01:26:12,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1928628Z [2022-11-23 01:26:12,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1928933Z [2022-11-23 01:26:12,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1929252Z [2022-11-23 01:26:12,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1929585Z [2022-11-23 01:26:12,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1929906Z [2022-11-23 01:26:12,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1930281Z [2022-11-23 01:26:12,057] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f4710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2421> 
2022-11-23T01:30:20.1930404Z  2422           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.1930498Z                2 LOAD_ATTR                1 (arange)
2022-11-23T01:30:20.1930590Z                4 LOAD_GLOBAL              2 (len)
2022-11-23T01:30:20.1930679Z                6 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1930770Z                8 CALL_FUNCTION            1
2022-11-23T01:30:20.1930909Z               10 LOAD_CONST               1 ('cpu')
2022-11-23T01:30:20.1931042Z               12 LOAD_CONST               2 (('device',))
2022-11-23T01:30:20.1931134Z               14 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.1931227Z               16 LOAD_METHOD              3 (to)
2022-11-23T01:30:20.1931315Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1931406Z               20 LOAD_ATTR                4 (device)
2022-11-23T01:30:20.1931493Z               22 CALL_METHOD              1
2022-11-23T01:30:20.1931585Z               24 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1931645Z               26 BINARY_ADD
2022-11-23T01:30:20.1931723Z               28 RETURN_VALUE
2022-11-23T01:30:20.1931785Z  
2022-11-23T01:30:20.1931791Z 
2022-11-23T01:30:20.1932106Z [2022-11-23 01:26:12,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2422
2022-11-23T01:30:20.1932329Z [2022-11-23 01:26:12,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.1932698Z [2022-11-23 01:26:12,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.1933032Z [2022-11-23 01:26:12,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.1933387Z [2022-11-23 01:26:12,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), BuiltinVariable(len)]
2022-11-23T01:30:20.1933780Z [2022-11-23 01:26:12,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), BuiltinVariable(len), TensorVariable()]
2022-11-23T01:30:20.1934142Z [2022-11-23 01:26:12,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:20.1934544Z [2022-11-23 01:26:12,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:30:20.1934990Z [2022-11-23 01:26:12,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:20.1935259Z [2022-11-23 01:26:12,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:30:20.1935531Z [2022-11-23 01:26:12,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:30:20.1935837Z [2022-11-23 01:26:12,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:30:20.1936145Z [2022-11-23 01:26:12,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:30:20.1936381Z [2022-11-23 01:26:12,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.1936774Z [2022-11-23 01:26:12,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1937070Z [2022-11-23 01:26:12,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1937450Z [2022-11-23 01:26:12,061] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f4710, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2421>
2022-11-23T01:30:20.1937692Z [2022-11-23 01:26:12,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1937911Z [2022-11-23 01:26:12,061] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1938161Z [2022-11-23 01:26:12,062] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1938408Z [2022-11-23 01:26:12,065] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1938596Z [2022-11-23 01:26:12,066] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1938733Z  __compiled_fn_322 <eval_with_key>.2749 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1938824Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1939078Z call_function, arange, <built-in method arange of type object at 0x7ff5d7c59c60>, (32,), {'device': 'cpu'}
2022-11-23T01:30:20.1939240Z call_method, to, to, (arange, device(type='cpu')), {}
2022-11-23T01:30:20.1939399Z call_function, add, <built-in function add>, (to, ex_0_), {}
2022-11-23T01:30:20.1939495Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.1939500Z 
2022-11-23T01:30:20.1939825Z [2022-11-23 01:26:12,066] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1939917Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1940008Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1940097Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1940192Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1940278Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1940353Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1940431Z              12 RETURN_VALUE
2022-11-23T01:30:20.1940436Z 
2022-11-23T01:30:20.1940499Z  
2022-11-23T01:30:20.1940818Z [2022-11-23 01:26:12,066] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1940929Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_322)
2022-11-23T01:30:20.1941018Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1941106Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1941182Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1941256Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1941346Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1941421Z              12 RETURN_VALUE
2022-11-23T01:30:20.1941428Z 
2022-11-23T01:30:20.1941489Z  
2022-11-23T01:30:20.1941668Z [2022-11-23 01:26:12,067] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1941737Z  - 
2022-11-23T01:30:20.1941894Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1941947Z             {
2022-11-23T01:30:20.1942089Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1942274Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1942393Z                 'obj_weakref': None
2022-11-23T01:30:20.1942617Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1942682Z             }
2022-11-23T01:30:20.1942745Z             
2022-11-23T01:30:20.1942802Z  - 
2022-11-23T01:30:20.1942923Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:20.1942986Z             {
2022-11-23T01:30:20.1943123Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.1943291Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:20.1943534Z                 'obj_weakref': <weakref at 0x7ff57ee5a0c0; to 'Tensor' at 0x7ff5a87a1b70>
2022-11-23T01:30:20.1943790Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1943841Z             }
2022-11-23T01:30:20.1943904Z             
2022-11-23T01:30:20.1943974Z  - 
2022-11-23T01:30:20.1944096Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1944160Z             {
2022-11-23T01:30:20.1944302Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1944409Z                 'code': None,
2022-11-23T01:30:20.1944606Z                 'obj_weakref': <weakref at 0x7ff57ee5a0c0; to 'Tensor' at 0x7ff5a87a1b70>
2022-11-23T01:30:20.1944858Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1944922Z             }
2022-11-23T01:30:20.1944984Z             
2022-11-23T01:30:20.1945056Z  - 
2022-11-23T01:30:20.1945185Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1945248Z             {
2022-11-23T01:30:20.1945370Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1945540Z                 'code': ['___check_obj_id(model, 140692659482496)'],
2022-11-23T01:30:20.1945657Z                 'obj_weakref': None
2022-11-23T01:30:20.1945885Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1945948Z             }
2022-11-23T01:30:20.1946013Z             
2022-11-23T01:30:20.1946082Z  - 
2022-11-23T01:30:20.1946191Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1946255Z             {
2022-11-23T01:30:20.1946390Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1946607Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1946722Z                 'obj_weakref': None
2022-11-23T01:30:20.1946946Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1947009Z             }
2022-11-23T01:30:20.1947058Z             
2022-11-23T01:30:20.1947129Z  - 
2022-11-23T01:30:20.1947253Z             global 'len' BUILTIN_MATCH
2022-11-23T01:30:20.1947316Z             {
2022-11-23T01:30:20.1947434Z                 'guard_types': None,
2022-11-23T01:30:20.1947541Z                 'code': None,
2022-11-23T01:30:20.1947657Z                 'obj_weakref': None
2022-11-23T01:30:20.1947765Z                 'guarded_class': None
2022-11-23T01:30:20.1947827Z             }
2022-11-23T01:30:20.1947889Z             
2022-11-23T01:30:20.1947957Z  - 
2022-11-23T01:30:20.1948088Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.1948150Z             {
2022-11-23T01:30:20.1948267Z                 'guard_types': None,
2022-11-23T01:30:20.1948360Z                 'code': None,
2022-11-23T01:30:20.1948478Z                 'obj_weakref': None
2022-11-23T01:30:20.1948600Z                 'guarded_class': None
2022-11-23T01:30:20.1948664Z             }
2022-11-23T01:30:20.1948725Z             
2022-11-23T01:30:20.1949014Z [2022-11-23 01:26:12,072] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 315
2022-11-23T01:30:20.1949384Z [2022-11-23 01:26:13,522] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k2/ck2bvyt5qwtrhm4noeaz26dd62ehajpl7ord2qq5u57epaxulhlk.py
2022-11-23T01:30:20.1949637Z [2022-11-23 01:26:13,522] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 315
2022-11-23T01:30:20.1949656Z 
2022-11-23T01:30:20.1949737Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1949806Z import torch
2022-11-23T01:30:20.1949875Z import random
2022-11-23T01:30:20.1949989Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1950108Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1950113Z 
2022-11-23T01:30:20.1950218Z aten = torch.ops.aten
2022-11-23T01:30:20.1950351Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1950429Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1950434Z 
2022-11-23T01:30:20.1950441Z 
2022-11-23T01:30:20.1950576Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1950787Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1950906Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1951005Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1951067Z {
2022-11-23T01:30:20.1951165Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1951214Z     {
2022-11-23T01:30:20.1951291Z         #pragma omp for 
2022-11-23T01:30:20.1951372Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.1951437Z         {
2022-11-23T01:30:20.1951500Z             {
2022-11-23T01:30:20.1951566Z                 {
2022-11-23T01:30:20.1951658Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T01:30:20.1951751Z                     auto tmp0 = static_cast<long>(i0);
2022-11-23T01:30:20.1951856Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.1951948Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.1952033Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.1952098Z                 }
2022-11-23T01:30:20.1952163Z             }
2022-11-23T01:30:20.1952227Z         }
2022-11-23T01:30:20.1952276Z     }
2022-11-23T01:30:20.1952336Z }
2022-11-23T01:30:20.1952412Z ''')
2022-11-23T01:30:20.1952417Z 
2022-11-23T01:30:20.1952422Z 
2022-11-23T01:30:20.1952509Z async_compile.wait(globals())
2022-11-23T01:30:20.1952582Z del async_compile
2022-11-23T01:30:20.1952587Z 
2022-11-23T01:30:20.1952658Z def call(args):
2022-11-23T01:30:20.1952726Z     arg0_1, = args
2022-11-23T01:30:20.1952784Z     args.clear()
2022-11-23T01:30:20.1952978Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1953116Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1953185Z     del arg0_1
2022-11-23T01:30:20.1953255Z     return (buf0, )
2022-11-23T01:30:20.1953262Z 
2022-11-23T01:30:20.1953266Z 
2022-11-23T01:30:20.1953341Z if __name__ == "__main__":
2022-11-23T01:30:20.1953455Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1953577Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1953757Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1953937Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1953942Z 
2022-11-23T01:30:20.1954016Z ok (1.470s)
2022-11-23T01:30:20.1954156Z   test_multi_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T01:30:20.1954302Z   test_multilayer_low_prec_cpu (__main__.CpuTests) ... skip: requires CUDA (0.001s)
2022-11-23T01:30:20.1954445Z   test_nan_to_num_cpu (__main__.CpuTests) ... skip: Skipping due to op bugs (0.001s)
2022-11-23T01:30:20.1954752Z   test_narrow_cpu (__main__.CpuTests) ... [2022-11-23 01:26:13,528] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1955119Z [2022-11-23 01:26:13,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1955322Z [2022-11-23 01:26:13,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1955577Z [2022-11-23 01:26:13,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1955854Z [2022-11-23 01:26:13,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1956174Z [2022-11-23 01:26:13,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1956521Z [2022-11-23 01:26:13,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1956872Z [2022-11-23 01:26:13,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1957250Z [2022-11-23 01:26:13,529] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d0450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599> 
2022-11-23T01:30:20.1957345Z  3600           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1957441Z                2 LOAD_METHOD              1 (narrow)
2022-11-23T01:30:20.1957535Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1957612Z                6 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1957704Z                8 LOAD_CONST               2 (10)
2022-11-23T01:30:20.1957794Z               10 LOAD_CONST               3 (16)
2022-11-23T01:30:20.1957885Z               12 CALL_METHOD              4
2022-11-23T01:30:20.1957978Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1958076Z               16 LOAD_METHOD              1 (narrow)
2022-11-23T01:30:20.1958165Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.1958241Z               20 LOAD_CONST               4 (2)
2022-11-23T01:30:20.1958315Z               22 BINARY_ADD
2022-11-23T01:30:20.1958402Z               24 LOAD_CONST               5 (0)
2022-11-23T01:30:20.1958491Z               26 LOAD_CONST               2 (10)
2022-11-23T01:30:20.1958579Z               28 LOAD_CONST               3 (16)
2022-11-23T01:30:20.1958667Z               30 CALL_METHOD              4
2022-11-23T01:30:20.1958755Z               32 LOAD_CONST               1 (1)
2022-11-23T01:30:20.1958815Z               34 BINARY_ADD
2022-11-23T01:30:20.1958903Z               36 BUILD_TUPLE              2
2022-11-23T01:30:20.1958979Z               38 RETURN_VALUE
2022-11-23T01:30:20.1959043Z  
2022-11-23T01:30:20.1959049Z 
2022-11-23T01:30:20.1959369Z [2022-11-23 01:26:13,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3600
2022-11-23T01:30:20.1959586Z [2022-11-23 01:26:13,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1959891Z [2022-11-23 01:26:13,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1960142Z [2022-11-23 01:26:13,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.narrow)]
2022-11-23T01:30:20.1960426Z [2022-11-23 01:26:13,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:30:20.1960730Z [2022-11-23 01:26:13,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1961089Z [2022-11-23 01:26:13,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1961518Z [2022-11-23 01:26:13,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1961764Z [2022-11-23 01:26:13,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.1962098Z [2022-11-23 01:26:13,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1962379Z [2022-11-23 01:26:13,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.narrow)]
2022-11-23T01:30:20.1962688Z [2022-11-23 01:26:13,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:30:20.1963070Z [2022-11-23 01:26:13,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1963379Z [2022-11-23 01:26:13,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:30:20.1963720Z [2022-11-23 01:26:13,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1964103Z [2022-11-23 01:26:13,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1964535Z [2022-11-23 01:26:13,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.1964792Z [2022-11-23 01:26:13,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1965099Z [2022-11-23 01:26:13,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.1965366Z [2022-11-23 01:26:13,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.1965612Z [2022-11-23 01:26:13,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1965988Z [2022-11-23 01:26:13,545] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d0450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3599>
2022-11-23T01:30:20.1966230Z [2022-11-23 01:26:13,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.1966466Z [2022-11-23 01:26:13,545] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1966718Z [2022-11-23 01:26:13,547] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1966967Z [2022-11-23 01:26:13,554] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1967155Z [2022-11-23 01:26:13,554] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1967277Z  __compiled_fn_323 <eval_with_key>.2755 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1967368Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1967484Z call_function, narrow, aten.narrow, (ex_0_, 1, 10, 16), {}
2022-11-23T01:30:20.1967654Z call_function, add, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:30:20.1967770Z call_function, narrow_1, aten.narrow, (add, 0, 10, 16), {}
2022-11-23T01:30:20.1967951Z call_function, add_1, <built-in function add>, (narrow_1, 1), {}
2022-11-23T01:30:20.1968059Z output, output, output, ((narrow, add_1),), {}
2022-11-23T01:30:20.1968064Z 
2022-11-23T01:30:20.1968418Z [2022-11-23 01:26:13,554] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1968501Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1968592Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1968678Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1968769Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1968855Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1968944Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1969019Z              12 RETURN_VALUE
2022-11-23T01:30:20.1969025Z 
2022-11-23T01:30:20.1969073Z  
2022-11-23T01:30:20.1969394Z [2022-11-23 01:26:13,554] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1969532Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_323)
2022-11-23T01:30:20.1969624Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1969714Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1969791Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1969876Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1969979Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.1970067Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1970158Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1970233Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.1970335Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.1970421Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.1970496Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.1970586Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.1970647Z              26 RETURN_VALUE
2022-11-23T01:30:20.1970652Z 
2022-11-23T01:30:20.1970714Z  
2022-11-23T01:30:20.1970899Z [2022-11-23 01:26:13,555] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1970968Z  - 
2022-11-23T01:30:20.1971085Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1971150Z             {
2022-11-23T01:30:20.1971289Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1971462Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1971581Z                 'obj_weakref': None
2022-11-23T01:30:20.1971805Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1971869Z             }
2022-11-23T01:30:20.1971932Z             
2022-11-23T01:30:20.1972001Z  - 
2022-11-23T01:30:20.1972125Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1972178Z             {
2022-11-23T01:30:20.1972319Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1972424Z                 'code': None,
2022-11-23T01:30:20.1972641Z                 'obj_weakref': <weakref at 0x7ff57ef792b0; to 'Tensor' at 0x7ff5a80f7010>
2022-11-23T01:30:20.1972893Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1972958Z             }
2022-11-23T01:30:20.1973021Z             
2022-11-23T01:30:20.1973076Z  - 
2022-11-23T01:30:20.1973204Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1973267Z             {
2022-11-23T01:30:20.1973404Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1973572Z                 'code': ['___check_obj_id(model, 140692390553504)'],
2022-11-23T01:30:20.1973689Z                 'obj_weakref': None
2022-11-23T01:30:20.1973919Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1973971Z             }
2022-11-23T01:30:20.1974036Z             
2022-11-23T01:30:20.1974105Z  - 
2022-11-23T01:30:20.1974223Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1974312Z             {
2022-11-23T01:30:20.1974449Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1974670Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1974772Z                 'obj_weakref': None
2022-11-23T01:30:20.1974994Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1975056Z             }
2022-11-23T01:30:20.1975120Z             
2022-11-23T01:30:20.1975189Z  - 
2022-11-23T01:30:20.1975320Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1975383Z             {
2022-11-23T01:30:20.1975487Z                 'guard_types': None,
2022-11-23T01:30:20.1975593Z                 'code': None,
2022-11-23T01:30:20.1975708Z                 'obj_weakref': None
2022-11-23T01:30:20.1975858Z                 'guarded_class': None
2022-11-23T01:30:20.1975921Z             }
2022-11-23T01:30:20.1975984Z             
2022-11-23T01:30:20.1976245Z [2022-11-23 01:26:13,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 316
2022-11-23T01:30:20.1976715Z [2022-11-23 01:26:14,996] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zm/czmefrvkcde4x7df3k65iqbdlio77jpn3yfrse2t6xb42upwni3u.py
2022-11-23T01:30:20.1976979Z [2022-11-23 01:26:14,996] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 316
2022-11-23T01:30:20.1976985Z 
2022-11-23T01:30:20.1977078Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.1977146Z import torch
2022-11-23T01:30:20.1977217Z import random
2022-11-23T01:30:20.1977333Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.1977453Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.1977461Z 
2022-11-23T01:30:20.1977538Z aten = torch.ops.aten
2022-11-23T01:30:20.1977658Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.1977749Z async_compile = AsyncCompile()
2022-11-23T01:30:20.1977756Z 
2022-11-23T01:30:20.1977761Z 
2022-11-23T01:30:20.1977893Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.1978099Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.1978219Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.1978318Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.1978379Z {
2022-11-23T01:30:20.1978474Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.1978523Z     {
2022-11-23T01:30:20.1978598Z         #pragma omp for 
2022-11-23T01:30:20.1978681Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:20.1978744Z         {
2022-11-23T01:30:20.1978890Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 640 + (8*i0));
2022-11-23T01:30:20.1979025Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.1979110Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1979230Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.1979313Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.1979404Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.1979467Z         }
2022-11-23T01:30:20.1979558Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.1979644Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:30:20.1979707Z         {
2022-11-23T01:30:20.1979784Z             auto tmp0 = in_ptr0[640 + i0];
2022-11-23T01:30:20.1979882Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:20.1979964Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.1980063Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:20.1980147Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.1980229Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.1980291Z         }
2022-11-23T01:30:20.1980339Z     }
2022-11-23T01:30:20.1980398Z }
2022-11-23T01:30:20.1980475Z ''')
2022-11-23T01:30:20.1980480Z 
2022-11-23T01:30:20.1980536Z 
2022-11-23T01:30:20.1980628Z async_compile.wait(globals())
2022-11-23T01:30:20.1980702Z del async_compile
2022-11-23T01:30:20.1980707Z 
2022-11-23T01:30:20.1980777Z def call(args):
2022-11-23T01:30:20.1980845Z     arg0_1, = args
2022-11-23T01:30:20.1980903Z     args.clear()
2022-11-23T01:30:20.1981105Z     buf0 = empty_strided((16, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1981238Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.1981345Z     return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, )
2022-11-23T01:30:20.1981350Z 
2022-11-23T01:30:20.1981354Z 
2022-11-23T01:30:20.1981431Z if __name__ == "__main__":
2022-11-23T01:30:20.1981544Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.1981702Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.1981905Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.1982001Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.1982019Z 
2022-11-23T01:30:20.1982073Z ok (1.472s)
2022-11-23T01:30:20.1982391Z   test_new_empty_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.1982705Z [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.1982921Z [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.1983173Z [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.1983451Z [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.1983779Z [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1984125Z [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1984447Z [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.1984821Z [2022-11-23 01:26:15,001] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d1a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813> 
2022-11-23T01:30:20.1984904Z  3814           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.1985013Z                2 LOAD_METHOD              1 (new_empty_strided)
2022-11-23T01:30:20.1985107Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.1985195Z                6 BUILD_LIST               0
2022-11-23T01:30:20.1985295Z                8 LOAD_CONST               1 ((1, 128, 128))
2022-11-23T01:30:20.1985381Z               10 LIST_EXTEND              1
2022-11-23T01:30:20.1985466Z               12 BUILD_LIST               0
2022-11-23T01:30:20.1985551Z               14 LOAD_CONST               2 ((16384, 128, 1))
2022-11-23T01:30:20.1985637Z               16 LIST_EXTEND              1
2022-11-23T01:30:20.1985721Z               18 CALL_METHOD              3
2022-11-23T01:30:20.1985815Z               20 LOAD_METHOD              2 (fill_)
2022-11-23T01:30:20.1985904Z               22 LOAD_CONST               3 (123)
2022-11-23T01:30:20.1985991Z               24 CALL_METHOD              1
2022-11-23T01:30:20.1986067Z               26 RETURN_VALUE
2022-11-23T01:30:20.1986114Z  
2022-11-23T01:30:20.1986119Z 
2022-11-23T01:30:20.1986433Z [2022-11-23 01:26:15,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3814
2022-11-23T01:30:20.1986680Z [2022-11-23 01:26:15,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.1987004Z [2022-11-23 01:26:15,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_empty_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.1987273Z [2022-11-23 01:26:15,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_empty_strided)]
2022-11-23T01:30:20.1987576Z [2022-11-23 01:26:15,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable()]
2022-11-23T01:30:20.1987907Z [2022-11-23 01:26:15,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 128, 128) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1988274Z [2022-11-23 01:26:15,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.1988627Z [2022-11-23 01:26:15,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.1988983Z [2022-11-23 01:26:15,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (16384, 128, 1) [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1989371Z [2022-11-23 01:26:15,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.1989720Z [2022-11-23 01:26:15,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.1989954Z [2022-11-23 01:26:15,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill_ [TensorVariable()]
2022-11-23T01:30:20.1990232Z [2022-11-23 01:26:15,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 123 [GetAttrVariable(TensorVariable(), fill_)]
2022-11-23T01:30:20.1990551Z [2022-11-23 01:26:15,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), fill_), ConstantVariable(int)]
2022-11-23T01:30:20.1990797Z [2022-11-23 01:26:15,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1991174Z [2022-11-23 01:26:15,011] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d1a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3813>
2022-11-23T01:30:20.1991419Z [2022-11-23 01:26:15,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.1991652Z [2022-11-23 01:26:15,011] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.1991911Z [2022-11-23 01:26:15,012] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.1992160Z [2022-11-23 01:26:15,015] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.1992348Z [2022-11-23 01:26:15,015] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.1992470Z  __compiled_fn_324 <eval_with_key>.2761 opcode, name, target, args, kwargs
2022-11-23T01:30:20.1992557Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.1992707Z call_function, new_empty_strided, aten.new_empty_strided, (ex_0_, [1, 128, 128], [16384, 128, 1]), {}
2022-11-23T01:30:20.1992821Z call_method, fill_, fill_, (new_empty_strided, 123), {}
2022-11-23T01:30:20.1992917Z output, output, output, ((fill_,),), {}
2022-11-23T01:30:20.1992922Z 
2022-11-23T01:30:20.1993245Z [2022-11-23 01:26:15,016] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1993342Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.1993461Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1993536Z               4 BUILD_MAP                0
2022-11-23T01:30:20.1993629Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.1993712Z               8 DICT_MERGE               1
2022-11-23T01:30:20.1993868Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.1993950Z              12 RETURN_VALUE
2022-11-23T01:30:20.1993955Z 
2022-11-23T01:30:20.1994017Z  
2022-11-23T01:30:20.1994341Z [2022-11-23 01:26:15,016] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.1994436Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_324)
2022-11-23T01:30:20.1994529Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.1994656Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.1994735Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.1994820Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.1994915Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.1994978Z              12 RETURN_VALUE
2022-11-23T01:30:20.1994996Z 
2022-11-23T01:30:20.1995045Z  
2022-11-23T01:30:20.1995225Z [2022-11-23 01:26:15,016] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.1995293Z  - 
2022-11-23T01:30:20.1995410Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.1995475Z             {
2022-11-23T01:30:20.1995612Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.1995795Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.1995901Z                 'obj_weakref': None
2022-11-23T01:30:20.1996122Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.1996190Z             }
2022-11-23T01:30:20.1996253Z             
2022-11-23T01:30:20.1996320Z  - 
2022-11-23T01:30:20.1996442Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.1996494Z             {
2022-11-23T01:30:20.1996636Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.1996741Z                 'code': None,
2022-11-23T01:30:20.1996952Z                 'obj_weakref': <weakref at 0x7ff57ed86700; to 'Tensor' at 0x7ff57ed86ed0>
2022-11-23T01:30:20.1997204Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.1997267Z             }
2022-11-23T01:30:20.1997329Z             
2022-11-23T01:30:20.1997396Z  - 
2022-11-23T01:30:20.1997512Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.1997573Z             {
2022-11-23T01:30:20.1997707Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.1997874Z                 'code': ['___check_obj_id(model, 140693069051888)'],
2022-11-23T01:30:20.1997997Z                 'obj_weakref': None
2022-11-23T01:30:20.1998227Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.1998295Z             }
2022-11-23T01:30:20.1998347Z             
2022-11-23T01:30:20.1998417Z  - 
2022-11-23T01:30:20.1998539Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.1998604Z             {
2022-11-23T01:30:20.1998742Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.1998959Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.1999077Z                 'obj_weakref': None
2022-11-23T01:30:20.1999285Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.1999348Z             }
2022-11-23T01:30:20.1999413Z             
2022-11-23T01:30:20.1999486Z  - 
2022-11-23T01:30:20.1999616Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.1999682Z             {
2022-11-23T01:30:20.1999790Z                 'guard_types': None,
2022-11-23T01:30:20.1999897Z                 'code': None,
2022-11-23T01:30:20.2000067Z                 'obj_weakref': None
2022-11-23T01:30:20.2000189Z                 'guarded_class': None
2022-11-23T01:30:20.2000252Z             }
2022-11-23T01:30:20.2000316Z             
2022-11-23T01:30:20.2000575Z [2022-11-23 01:26:15,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 317
2022-11-23T01:30:20.2000941Z [2022-11-23 01:26:16,438] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w3/cw3dmwo3zra7ebgc5rm52klklloz7chig2pdi57mcvygiehocul4.py
2022-11-23T01:30:20.2001188Z [2022-11-23 01:26:16,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 317
2022-11-23T01:30:20.2001194Z 
2022-11-23T01:30:20.2001287Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2001359Z import torch
2022-11-23T01:30:20.2001430Z import random
2022-11-23T01:30:20.2001571Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2001691Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2001697Z 
2022-11-23T01:30:20.2001776Z aten = torch.ops.aten
2022-11-23T01:30:20.2001910Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2001989Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2001994Z 
2022-11-23T01:30:20.2001999Z 
2022-11-23T01:30:20.2002135Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2002342Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2002457Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:30:20.2002518Z {
2022-11-23T01:30:20.2002616Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2002678Z     {
2022-11-23T01:30:20.2002741Z         #pragma omp for 
2022-11-23T01:30:20.2002825Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T01:30:20.2002888Z         {
2022-11-23T01:30:20.2003031Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(123));
2022-11-23T01:30:20.2003121Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.2003187Z         }
2022-11-23T01:30:20.2003281Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2003357Z         for(long i0=16384; i0<16384; i0+=1)
2022-11-23T01:30:20.2003421Z         {
2022-11-23T01:30:20.2003522Z             auto tmp0 = static_cast<float>(123);
2022-11-23T01:30:20.2003603Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.2003666Z         }
2022-11-23T01:30:20.2003730Z     }
2022-11-23T01:30:20.2003791Z }
2022-11-23T01:30:20.2003858Z ''')
2022-11-23T01:30:20.2003862Z 
2022-11-23T01:30:20.2003867Z 
2022-11-23T01:30:20.2003955Z async_compile.wait(globals())
2022-11-23T01:30:20.2004028Z del async_compile
2022-11-23T01:30:20.2004033Z 
2022-11-23T01:30:20.2004106Z def call(args):
2022-11-23T01:30:20.2004176Z     arg0_1, = args
2022-11-23T01:30:20.2004248Z     args.clear()
2022-11-23T01:30:20.2004467Z     buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2004557Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.2004631Z     return (buf0, )
2022-11-23T01:30:20.2004636Z 
2022-11-23T01:30:20.2004640Z 
2022-11-23T01:30:20.2004714Z if __name__ == "__main__":
2022-11-23T01:30:20.2004825Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2004945Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2005136Z     arg0_1 = rand_strided((55, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2005241Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2005246Z 
2022-11-23T01:30:20.2005311Z ok (1.442s)
2022-11-23T01:30:20.2005604Z   test_new_ones_cpu (__main__.CpuTests) ... [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2005920Z [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2006169Z [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2006422Z [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2006696Z [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2007018Z [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2007361Z [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2007684Z [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2008109Z [2022-11-23 01:26:16,444] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f7470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793> 
2022-11-23T01:30:20.2008203Z  2795           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2008286Z                2 LOAD_ATTR                1 (new_ones)
2022-11-23T01:30:20.2008303Z 
2022-11-23T01:30:20.2008380Z 2796           4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2008464Z                6 BUILD_LIST               0
2022-11-23T01:30:20.2008551Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2008642Z               10 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.2008728Z               12 LOAD_CONST               1 (6)
2022-11-23T01:30:20.2008816Z               14 LOAD_CONST               2 (0)
2022-11-23T01:30:20.2008907Z               16 LOAD_CONST               3 (False)
2022-11-23T01:30:20.2008914Z 
2022-11-23T01:30:20.2009101Z 2795          18 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:30:20.2009191Z               20 CALL_FUNCTION_KW         6
2022-11-23T01:30:20.2009198Z 
2022-11-23T01:30:20.2009290Z 2798          22 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2009384Z               24 LOAD_ATTR                3 (new_zeros)
2022-11-23T01:30:20.2009390Z 
2022-11-23T01:30:20.2009477Z 2799          26 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2009562Z               28 BUILD_LIST               0
2022-11-23T01:30:20.2009649Z               30 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2009738Z               32 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.2009813Z               34 LOAD_CONST               1 (6)
2022-11-23T01:30:20.2009900Z               36 LOAD_CONST               2 (0)
2022-11-23T01:30:20.2009990Z               38 LOAD_CONST               3 (False)
2022-11-23T01:30:20.2009994Z 
2022-11-23T01:30:20.2010194Z 2798          40 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:30:20.2010285Z               42 CALL_FUNCTION_KW         6
2022-11-23T01:30:20.2010289Z 
2022-11-23T01:30:20.2010377Z 2794          44 BUILD_TUPLE              2
2022-11-23T01:30:20.2010451Z               46 RETURN_VALUE
2022-11-23T01:30:20.2010511Z  
2022-11-23T01:30:20.2010515Z 
2022-11-23T01:30:20.2010818Z [2022-11-23 01:26:16,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T01:30:20.2011033Z [2022-11-23 01:26:16,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.2011343Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_ones [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2011650Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2796
2022-11-23T01:30:20.2011907Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones)]
2022-11-23T01:30:20.2012216Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_ones), TensorVariable()]
2022-11-23T01:30:20.2012521Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2012861Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:20.2013198Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:20.2013573Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)]
2022-11-23T01:30:20.2014025Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2014335Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2795
2022-11-23T01:30:20.2014835Z [2022-11-23 01:26:16,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.2015338Z [2022-11-23 01:26:16,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.2015652Z [2022-11-23 01:26:16,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T01:30:20.2015893Z [2022-11-23 01:26:16,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.2016231Z [2022-11-23 01:26:16,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_zeros [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2016743Z [2022-11-23 01:26:16,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2799
2022-11-23T01:30:20.2017027Z [2022-11-23 01:26:16,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros)]
2022-11-23T01:30:20.2017343Z [2022-11-23 01:26:16,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable()]
2022-11-23T01:30:20.2017683Z [2022-11-23 01:26:16,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2018060Z [2022-11-23 01:26:16,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:30:20.2018427Z [2022-11-23 01:26:16,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:20.2018831Z [2022-11-23 01:26:16,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)]
2022-11-23T01:30:20.2019326Z [2022-11-23 01:26:16,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2019643Z [2022-11-23 01:26:16,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2798
2022-11-23T01:30:20.2020173Z [2022-11-23 01:26:16,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.2020705Z [2022-11-23 01:26:16,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.2021057Z [2022-11-23 01:26:16,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2794
2022-11-23T01:30:20.2021324Z [2022-11-23 01:26:16,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2021567Z [2022-11-23 01:26:16,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2021947Z [2022-11-23 01:26:16,461] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f7470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2793>
2022-11-23T01:30:20.2022191Z [2022-11-23 01:26:16,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2022422Z [2022-11-23 01:26:16,461] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2022675Z [2022-11-23 01:26:16,462] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2022926Z [2022-11-23 01:26:16,466] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2023116Z [2022-11-23 01:26:16,466] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2023239Z  __compiled_fn_325 <eval_with_key>.2767 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2023328Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2023603Z call_function, new_ones, aten.new_ones, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:30:20.2023883Z call_function, new_zeros, aten.new_zeros, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:30:20.2023999Z output, output, output, ((new_ones, new_zeros),), {}
2022-11-23T01:30:20.2024005Z 
2022-11-23T01:30:20.2024333Z [2022-11-23 01:26:16,467] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2024428Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2024518Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2024604Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2024683Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2024767Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2024851Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2024926Z              12 RETURN_VALUE
2022-11-23T01:30:20.2024931Z 
2022-11-23T01:30:20.2024992Z  
2022-11-23T01:30:20.2025314Z [2022-11-23 01:26:16,467] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2025422Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_325)
2022-11-23T01:30:20.2025501Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2025589Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2025665Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2025776Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2025880Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2025979Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2026066Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2026141Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2026228Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2026313Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2026388Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2026474Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.2026546Z              26 RETURN_VALUE
2022-11-23T01:30:20.2026552Z 
2022-11-23T01:30:20.2026611Z  
2022-11-23T01:30:20.2026819Z [2022-11-23 01:26:16,467] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2026875Z  - 
2022-11-23T01:30:20.2026991Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2027058Z             {
2022-11-23T01:30:20.2027197Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2027385Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2027503Z                 'obj_weakref': None
2022-11-23T01:30:20.2027725Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2027777Z             }
2022-11-23T01:30:20.2027839Z             
2022-11-23T01:30:20.2027906Z  - 
2022-11-23T01:30:20.2028028Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:20.2028089Z             {
2022-11-23T01:30:20.2028226Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.2028391Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:20.2028592Z                 'obj_weakref': <weakref at 0x7ff5a8690a40; to 'Tensor' at 0x7ff5a8429da0>
2022-11-23T01:30:20.2028845Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2028908Z             }
2022-11-23T01:30:20.2028970Z             
2022-11-23T01:30:20.2029040Z  - 
2022-11-23T01:30:20.2029165Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2029227Z             {
2022-11-23T01:30:20.2029357Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2029461Z                 'code': None,
2022-11-23T01:30:20.2029671Z                 'obj_weakref': <weakref at 0x7ff5a8690a40; to 'Tensor' at 0x7ff5a8429da0>
2022-11-23T01:30:20.2029922Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2029988Z             }
2022-11-23T01:30:20.2030051Z             
2022-11-23T01:30:20.2030119Z  - 
2022-11-23T01:30:20.2030235Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2030298Z             {
2022-11-23T01:30:20.2030432Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2030601Z                 'code': ['___check_obj_id(model, 140693066976272)'],
2022-11-23T01:30:20.2030717Z                 'obj_weakref': None
2022-11-23T01:30:20.2030945Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2031008Z             }
2022-11-23T01:30:20.2031058Z             
2022-11-23T01:30:20.2031125Z  - 
2022-11-23T01:30:20.2031244Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2031307Z             {
2022-11-23T01:30:20.2031441Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2031656Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2031771Z                 'obj_weakref': None
2022-11-23T01:30:20.2031978Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2032042Z             }
2022-11-23T01:30:20.2032102Z             
2022-11-23T01:30:20.2032169Z  - 
2022-11-23T01:30:20.2032325Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.2032387Z             {
2022-11-23T01:30:20.2032506Z                 'guard_types': None,
2022-11-23T01:30:20.2032599Z                 'code': None,
2022-11-23T01:30:20.2032713Z                 'obj_weakref': None
2022-11-23T01:30:20.2032833Z                 'guarded_class': None
2022-11-23T01:30:20.2032895Z             }
2022-11-23T01:30:20.2032956Z             
2022-11-23T01:30:20.2033214Z [2022-11-23 01:26:16,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 318
2022-11-23T01:30:20.2033581Z [2022-11-23 01:26:17,896] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebs3dpuecfm7ugllnj5tqhjsqbrzbpw6tax5lshr3uz354yfypf.py
2022-11-23T01:30:20.2033901Z [2022-11-23 01:26:17,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 318
2022-11-23T01:30:20.2033953Z 
2022-11-23T01:30:20.2034035Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2034104Z import torch
2022-11-23T01:30:20.2034175Z import random
2022-11-23T01:30:20.2034291Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2034410Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2034415Z 
2022-11-23T01:30:20.2034492Z aten = torch.ops.aten
2022-11-23T01:30:20.2034625Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2034704Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2034709Z 
2022-11-23T01:30:20.2034725Z 
2022-11-23T01:30:20.2034847Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2035051Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2035164Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2035261Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.2035324Z {
2022-11-23T01:30:20.2035385Z     {
2022-11-23T01:30:20.2035436Z         {
2022-11-23T01:30:20.2035535Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:30:20.2035614Z             out_ptr0[0] = tmp0;
2022-11-23T01:30:20.2035676Z         }
2022-11-23T01:30:20.2035737Z     }
2022-11-23T01:30:20.2035796Z     {
2022-11-23T01:30:20.2035857Z         {
2022-11-23T01:30:20.2035941Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:30:20.2036016Z             out_ptr1[0] = tmp0;
2022-11-23T01:30:20.2036077Z         }
2022-11-23T01:30:20.2036137Z     }
2022-11-23T01:30:20.2036194Z }
2022-11-23T01:30:20.2036270Z ''')
2022-11-23T01:30:20.2036275Z 
2022-11-23T01:30:20.2036279Z 
2022-11-23T01:30:20.2036366Z async_compile.wait(globals())
2022-11-23T01:30:20.2036425Z del async_compile
2022-11-23T01:30:20.2036430Z 
2022-11-23T01:30:20.2036500Z def call(args):
2022-11-23T01:30:20.2036566Z     arg0_1, = args
2022-11-23T01:30:20.2036635Z     args.clear()
2022-11-23T01:30:20.2036822Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2036998Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2037132Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.2037196Z     return (buf0, buf1, )
2022-11-23T01:30:20.2037213Z 
2022-11-23T01:30:20.2037217Z 
2022-11-23T01:30:20.2037279Z if __name__ == "__main__":
2022-11-23T01:30:20.2037393Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2037514Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2037705Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2037811Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2037815Z 
2022-11-23T01:30:20.2037881Z ok (1.457s)
2022-11-23T01:30:20.2038195Z   test_nll_loss_forward_cpu (__main__.CpuTests) ... [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2038539Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2038744Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2038995Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2039271Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2039590Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2039931Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2040282Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2040657Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e2a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342> 
2022-11-23T01:30:20.2040754Z  3343           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2040861Z                2 LOAD_METHOD              1 (nll_loss_forward)
2022-11-23T01:30:20.2040950Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2041027Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.2041118Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:20.2041207Z               10 LOAD_CONST               1 (1)
2022-11-23T01:30:20.2041347Z               12 LOAD_CONST               2 (-100)
2022-11-23T01:30:20.2041433Z               14 CALL_METHOD              5
2022-11-23T01:30:20.2041510Z               16 RETURN_VALUE
2022-11-23T01:30:20.2041570Z  
2022-11-23T01:30:20.2041575Z 
2022-11-23T01:30:20.2041877Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3343
2022-11-23T01:30:20.2042091Z [2022-11-23 01:26:17,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.2042409Z [2022-11-23 01:26:17,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nll_loss_forward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2042676Z [2022-11-23 01:26:17,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.nll_loss_forward)]
2022-11-23T01:30:20.2042966Z [2022-11-23 01:26:17,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.nll_loss_forward), TensorVariable()]
2022-11-23T01:30:20.2043294Z [2022-11-23 01:26:17,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2043670Z [2022-11-23 01:26:17,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.2044082Z [2022-11-23 01:26:17,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -100 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.2044529Z [2022-11-23 01:26:17,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2044775Z [2022-11-23 01:26:17,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2045154Z [2022-11-23 01:26:17,913] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e2a20, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3342>
2022-11-23T01:30:20.2045442Z [2022-11-23 01:26:17,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2045663Z [2022-11-23 01:26:17,913] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2045916Z [2022-11-23 01:26:17,914] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2046164Z [2022-11-23 01:26:17,919] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2046353Z [2022-11-23 01:26:17,919] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2046489Z  __compiled_fn_326 <eval_with_key>.2773 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2046580Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2046696Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.2046916Z call_function, nll_loss_forward, aten.nll_loss_forward, (ex_0_, ex_1_, None, 1, -100), {}
2022-11-23T01:30:20.2047111Z call_function, getitem, <built-in function getitem>, (nll_loss_forward, 0), {}
2022-11-23T01:30:20.2047320Z call_function, getitem_1, <built-in function getitem>, (nll_loss_forward, 1), {}
2022-11-23T01:30:20.2047435Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.2047440Z 
2022-11-23T01:30:20.2047765Z [2022-11-23 01:26:17,920] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2047859Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2047950Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2048037Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2048129Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2048203Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2048294Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2048371Z              12 RETURN_VALUE
2022-11-23T01:30:20.2048376Z 
2022-11-23T01:30:20.2048441Z  
2022-11-23T01:30:20.2048761Z [2022-11-23 01:26:17,920] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2048869Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_326)
2022-11-23T01:30:20.2048960Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2049050Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2049113Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2049202Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2049290Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2049366Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.2049456Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.2049562Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2049663Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2049741Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2049817Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2049917Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2050005Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2050082Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.2050169Z              30 BUILD_TUPLE              2
2022-11-23T01:30:20.2050243Z              32 RETURN_VALUE
2022-11-23T01:30:20.2050249Z 
2022-11-23T01:30:20.2050297Z  
2022-11-23T01:30:20.2050479Z [2022-11-23 01:26:17,920] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2050549Z  - 
2022-11-23T01:30:20.2050669Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2050734Z             {
2022-11-23T01:30:20.2050875Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2051064Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.2051170Z                 'obj_weakref': None
2022-11-23T01:30:20.2051421Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2051488Z             }
2022-11-23T01:30:20.2051551Z             
2022-11-23T01:30:20.2051618Z  - 
2022-11-23T01:30:20.2051740Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2051801Z             {
2022-11-23T01:30:20.2051928Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2052032Z                 'code': None,
2022-11-23T01:30:20.2052246Z                 'obj_weakref': <weakref at 0x7ff5a84e0d10; to 'Tensor' at 0x7ff57efef240>
2022-11-23T01:30:20.2052497Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2052561Z             }
2022-11-23T01:30:20.2052625Z             
2022-11-23T01:30:20.2052725Z  - 
2022-11-23T01:30:20.2052834Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.2052895Z             {
2022-11-23T01:30:20.2053037Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2053142Z                 'code': None,
2022-11-23T01:30:20.2053351Z                 'obj_weakref': <weakref at 0x7ff5a84e2390; to 'Tensor' at 0x7ff57efed440>
2022-11-23T01:30:20.2053599Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2053661Z             }
2022-11-23T01:30:20.2053711Z             
2022-11-23T01:30:20.2053778Z  - 
2022-11-23T01:30:20.2053907Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2053971Z             {
2022-11-23T01:30:20.2054101Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2054267Z                 'code': ['___check_obj_id(model, 140693066979008)'],
2022-11-23T01:30:20.2054385Z                 'obj_weakref': None
2022-11-23T01:30:20.2054601Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2054665Z             }
2022-11-23T01:30:20.2054727Z             
2022-11-23T01:30:20.2054796Z  - 
2022-11-23T01:30:20.2054915Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2054975Z             {
2022-11-23T01:30:20.2055108Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2055309Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2055424Z                 'obj_weakref': None
2022-11-23T01:30:20.2055641Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2055703Z             }
2022-11-23T01:30:20.2055766Z             
2022-11-23T01:30:20.2055832Z  - 
2022-11-23T01:30:20.2055962Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.2056011Z             {
2022-11-23T01:30:20.2056128Z                 'guard_types': None,
2022-11-23T01:30:20.2056234Z                 'code': None,
2022-11-23T01:30:20.2056348Z                 'obj_weakref': None
2022-11-23T01:30:20.2056588Z                 'guarded_class': None
2022-11-23T01:30:20.2056654Z             }
2022-11-23T01:30:20.2056719Z             
2022-11-23T01:30:20.2056967Z [2022-11-23 01:26:17,929] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 319
2022-11-23T01:30:20.2057338Z [2022-11-23 01:26:19,337] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cviojxip4tya6exltikfnwwo6jw6dspslowlmxwuphg2km5tgijj.py
2022-11-23T01:30:20.2057599Z [2022-11-23 01:26:19,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 319
2022-11-23T01:30:20.2057605Z 
2022-11-23T01:30:20.2057698Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2057767Z import torch
2022-11-23T01:30:20.2057836Z import random
2022-11-23T01:30:20.2057950Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2058072Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2058077Z 
2022-11-23T01:30:20.2058140Z aten = torch.ops.aten
2022-11-23T01:30:20.2058320Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2058412Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2058417Z 
2022-11-23T01:30:20.2058421Z 
2022-11-23T01:30:20.2058554Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2058758Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2058875Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.2058977Z                        const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.2059079Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.2059165Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.2059225Z {
2022-11-23T01:30:20.2059309Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:30:20.2059370Z     {
2022-11-23T01:30:20.2059470Z         {
2022-11-23T01:30:20.2059548Z             float tmp3 = 0;
2022-11-23T01:30:20.2059653Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2059704Z             {
2022-11-23T01:30:20.2059808Z                 #pragma omp for reduction(+:tmp3) 
2022-11-23T01:30:20.2059896Z                 for(long i0=0; i0<5; i0+=1)
2022-11-23T01:30:20.2059959Z                 {
2022-11-23T01:30:20.2060025Z                     {
2022-11-23T01:30:20.2060118Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2060220Z                         auto tmp1 = in_ptr1[tmp0 + (5*i0)];
2022-11-23T01:30:20.2060338Z                         auto tmp2 = -tmp1;
2022-11-23T01:30:20.2060415Z                         tmp3 += tmp2;
2022-11-23T01:30:20.2060482Z                     }
2022-11-23T01:30:20.2060545Z                 }
2022-11-23T01:30:20.2060607Z             }
2022-11-23T01:30:20.2060682Z             out_ptr0[0] = tmp3;
2022-11-23T01:30:20.2060731Z         }
2022-11-23T01:30:20.2060794Z     }
2022-11-23T01:30:20.2060854Z     {
2022-11-23T01:30:20.2060913Z         {
2022-11-23T01:30:20.2060997Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:30:20.2061096Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:30:20.2061177Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.2061245Z             in_out_ptr0[0] = tmp2;
2022-11-23T01:30:20.2061306Z         }
2022-11-23T01:30:20.2061368Z     }
2022-11-23T01:30:20.2061428Z     {
2022-11-23T01:30:20.2061489Z         {
2022-11-23T01:30:20.2061589Z             auto tmp0 = static_cast<float>(5.0);
2022-11-23T01:30:20.2061665Z             out_ptr1[0] = tmp0;
2022-11-23T01:30:20.2061714Z         }
2022-11-23T01:30:20.2061773Z     }
2022-11-23T01:30:20.2061832Z }
2022-11-23T01:30:20.2061908Z ''')
2022-11-23T01:30:20.2061912Z 
2022-11-23T01:30:20.2061917Z 
2022-11-23T01:30:20.2062005Z async_compile.wait(globals())
2022-11-23T01:30:20.2062077Z del async_compile
2022-11-23T01:30:20.2062081Z 
2022-11-23T01:30:20.2062149Z def call(args):
2022-11-23T01:30:20.2062212Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.2062282Z     args.clear()
2022-11-23T01:30:20.2062463Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2062548Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:20.2062725Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2062912Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.2062981Z     del arg0_1
2022-11-23T01:30:20.2063033Z     del arg1_1
2022-11-23T01:30:20.2063109Z     return (buf1, buf2, )
2022-11-23T01:30:20.2063113Z 
2022-11-23T01:30:20.2063118Z 
2022-11-23T01:30:20.2063191Z if __name__ == "__main__":
2022-11-23T01:30:20.2063304Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2063425Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2063621Z     arg0_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2063810Z     arg1_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.2063952Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.2063958Z 
2022-11-23T01:30:20.2064012Z ok (1.441s)
2022-11-23T01:30:20.2064352Z   test_no_mega_fusion_during_lowering_cpu (__main__.CpuTests) ... [2022-11-23 01:26:19,364] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2064670Z [2022-11-23 01:26:19,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2064886Z [2022-11-23 01:26:19,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2065137Z [2022-11-23 01:26:19,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2065412Z [2022-11-23 01:26:19,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2065765Z [2022-11-23 01:26:19,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2066110Z [2022-11-23 01:26:19,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2066431Z [2022-11-23 01:26:19,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2066803Z [2022-11-23 01:26:19,365] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f4450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2405> 
2022-11-23T01:30:20.2066885Z  2406           0 LOAD_FAST                0 (args)
2022-11-23T01:30:20.2066976Z                2 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2067054Z                4 BINARY_SUBSCR
2022-11-23T01:30:20.2067143Z                6 STORE_FAST               1 (x)
2022-11-23T01:30:20.2067148Z 
2022-11-23T01:30:20.2067243Z 2407           8 LOAD_GLOBAL              0 (range)
2022-11-23T01:30:20.2067330Z               10 LOAD_DEREF               0 (n)
2022-11-23T01:30:20.2067417Z               12 CALL_FUNCTION            1
2022-11-23T01:30:20.2067487Z               14 GET_ITER
2022-11-23T01:30:20.2067565Z          >>   16 FOR_ITER                10 (to 38)
2022-11-23T01:30:20.2067653Z               18 STORE_FAST               2 (i)
2022-11-23T01:30:20.2067658Z 
2022-11-23T01:30:20.2067749Z 2408          20 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:20.2067838Z               22 LOAD_METHOD              2 (add)
2022-11-23T01:30:20.2067925Z               24 LOAD_FAST                1 (x)
2022-11-23T01:30:20.2068013Z               26 LOAD_FAST                0 (args)
2022-11-23T01:30:20.2068097Z               28 LOAD_FAST                2 (i)
2022-11-23T01:30:20.2068163Z               30 BINARY_SUBSCR
2022-11-23T01:30:20.2068248Z               32 CALL_METHOD              2
2022-11-23T01:30:20.2068333Z               34 STORE_FAST               1 (x)
2022-11-23T01:30:20.2068428Z               36 JUMP_ABSOLUTE            8 (to 16)
2022-11-23T01:30:20.2068433Z 
2022-11-23T01:30:20.2068517Z 2409     >>   38 LOAD_FAST                1 (x)
2022-11-23T01:30:20.2068591Z               40 RETURN_VALUE
2022-11-23T01:30:20.2068653Z  
2022-11-23T01:30:20.2068659Z 
2022-11-23T01:30:20.2068974Z [2022-11-23 01:26:19,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2406
2022-11-23T01:30:20.2069175Z [2022-11-23 01:26:19,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args []
2022-11-23T01:30:20.2069414Z [2022-11-23 01:26:19,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:30:20.2069695Z [2022-11-23 01:26:19,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2069932Z [2022-11-23 01:26:19,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.2070269Z [2022-11-23 01:26:19,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2407
2022-11-23T01:30:20.2070486Z [2022-11-23 01:26:19,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range []
2022-11-23T01:30:20.2070731Z [2022-11-23 01:26:19,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF n [BuiltinVariable(range)]
2022-11-23T01:30:20.2071022Z [2022-11-23 01:26:19,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:30:20.2071257Z [2022-11-23 01:26:19,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [RangeVariable()]
2022-11-23T01:30:20.2071505Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2071807Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2072117Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2408
2022-11-23T01:30:20.2072375Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2072779Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2073137Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2073524Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2074005Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2074474Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2074898Z [2022-11-23 01:26:19,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2075176Z [2022-11-23 01:26:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2075435Z [2022-11-23 01:26:19,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2075684Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2075955Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2076212Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2076612Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2076969Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2077388Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2077796Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2078260Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2078684Z [2022-11-23 01:26:19,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2078997Z [2022-11-23 01:26:19,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2079254Z [2022-11-23 01:26:19,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2079505Z [2022-11-23 01:26:19,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2079789Z [2022-11-23 01:26:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2080033Z [2022-11-23 01:26:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2080435Z [2022-11-23 01:26:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2080796Z [2022-11-23 01:26:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2081186Z [2022-11-23 01:26:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2081594Z [2022-11-23 01:26:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2082056Z [2022-11-23 01:26:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2082474Z [2022-11-23 01:26:19,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2082752Z [2022-11-23 01:26:19,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2083010Z [2022-11-23 01:26:19,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2083256Z [2022-11-23 01:26:19,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2083539Z [2022-11-23 01:26:19,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2083797Z [2022-11-23 01:26:19,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2084203Z [2022-11-23 01:26:19,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2084577Z [2022-11-23 01:26:19,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2084965Z [2022-11-23 01:26:19,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2085375Z [2022-11-23 01:26:19,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2085839Z [2022-11-23 01:26:19,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2086286Z [2022-11-23 01:26:19,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2086565Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2086820Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2087067Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2087352Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2087609Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2088015Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2088370Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2088756Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2089150Z [2022-11-23 01:26:19,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2089615Z [2022-11-23 01:26:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2090037Z [2022-11-23 01:26:19,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2090312Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2090568Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2090815Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2091097Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2091390Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2091793Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2092151Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2092536Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2092941Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2093433Z [2022-11-23 01:26:19,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2093840Z [2022-11-23 01:26:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2094116Z [2022-11-23 01:26:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2094372Z [2022-11-23 01:26:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2094621Z [2022-11-23 01:26:19,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2094907Z [2022-11-23 01:26:19,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2095164Z [2022-11-23 01:26:19,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2095566Z [2022-11-23 01:26:19,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2095919Z [2022-11-23 01:26:19,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2096306Z [2022-11-23 01:26:19,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2096836Z [2022-11-23 01:26:19,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2097299Z [2022-11-23 01:26:19,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2097719Z [2022-11-23 01:26:19,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2097997Z [2022-11-23 01:26:19,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2098243Z [2022-11-23 01:26:19,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2098495Z [2022-11-23 01:26:19,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2098827Z [2022-11-23 01:26:19,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2099083Z [2022-11-23 01:26:19,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2099486Z [2022-11-23 01:26:19,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2099843Z [2022-11-23 01:26:19,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2100233Z [2022-11-23 01:26:19,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2100677Z [2022-11-23 01:26:19,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2101141Z [2022-11-23 01:26:19,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2101564Z [2022-11-23 01:26:19,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2101843Z [2022-11-23 01:26:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2102104Z [2022-11-23 01:26:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2102341Z [2022-11-23 01:26:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2102630Z [2022-11-23 01:26:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2102892Z [2022-11-23 01:26:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2103297Z [2022-11-23 01:26:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2103657Z [2022-11-23 01:26:19,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2104053Z [2022-11-23 01:26:19,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2104465Z [2022-11-23 01:26:19,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2104927Z [2022-11-23 01:26:19,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2105346Z [2022-11-23 01:26:19,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2105626Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2105913Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2106166Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2106440Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2106696Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2107099Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2107485Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2107875Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2108283Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2108746Z [2022-11-23 01:26:19,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2109166Z [2022-11-23 01:26:19,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2109450Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2109708Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2109958Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2110249Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2110495Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2110899Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2111260Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2111651Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2112064Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2112525Z [2022-11-23 01:26:19,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2113005Z [2022-11-23 01:26:19,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2113284Z [2022-11-23 01:26:19,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2113542Z [2022-11-23 01:26:19,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2113790Z [2022-11-23 01:26:19,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2114147Z [2022-11-23 01:26:19,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2114404Z [2022-11-23 01:26:19,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2114848Z [2022-11-23 01:26:19,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2115192Z [2022-11-23 01:26:19,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2115579Z [2022-11-23 01:26:19,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2115988Z [2022-11-23 01:26:19,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2116454Z [2022-11-23 01:26:19,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2116879Z [2022-11-23 01:26:19,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2117159Z [2022-11-23 01:26:19,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2117416Z [2022-11-23 01:26:19,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2117669Z [2022-11-23 01:26:19,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2117956Z [2022-11-23 01:26:19,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2118216Z [2022-11-23 01:26:19,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2118622Z [2022-11-23 01:26:19,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2118976Z [2022-11-23 01:26:19,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2119361Z [2022-11-23 01:26:19,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2119756Z [2022-11-23 01:26:19,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2120252Z [2022-11-23 01:26:19,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2120670Z [2022-11-23 01:26:19,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2120949Z [2022-11-23 01:26:19,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2121206Z [2022-11-23 01:26:19,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2121452Z [2022-11-23 01:26:19,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2121764Z [2022-11-23 01:26:19,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2122023Z [2022-11-23 01:26:19,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2122425Z [2022-11-23 01:26:19,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2122780Z [2022-11-23 01:26:19,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2123165Z [2022-11-23 01:26:19,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2123576Z [2022-11-23 01:26:19,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2124037Z [2022-11-23 01:26:19,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2124442Z [2022-11-23 01:26:19,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2124719Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2124976Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2125224Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2125512Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2125770Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2126174Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2126525Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2126911Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2127351Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2127812Z [2022-11-23 01:26:19,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2128226Z [2022-11-23 01:26:19,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2128504Z [2022-11-23 01:26:19,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2128778Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2129026Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2129313Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2129569Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2129971Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2130330Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2130721Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2131125Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2131587Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2132005Z [2022-11-23 01:26:19,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2132285Z [2022-11-23 01:26:19,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2132543Z [2022-11-23 01:26:19,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2132780Z [2022-11-23 01:26:19,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2133064Z [2022-11-23 01:26:19,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2133318Z [2022-11-23 01:26:19,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2133723Z [2022-11-23 01:26:19,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2134075Z [2022-11-23 01:26:19,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2134490Z [2022-11-23 01:26:19,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2134898Z [2022-11-23 01:26:19,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2135357Z [2022-11-23 01:26:19,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2135774Z [2022-11-23 01:26:19,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2136077Z [2022-11-23 01:26:19,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2136333Z [2022-11-23 01:26:19,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2136670Z [2022-11-23 01:26:19,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2136942Z [2022-11-23 01:26:19,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2137200Z [2022-11-23 01:26:19,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2137601Z [2022-11-23 01:26:19,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2137963Z [2022-11-23 01:26:19,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2138346Z [2022-11-23 01:26:19,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2138752Z [2022-11-23 01:26:19,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2139214Z [2022-11-23 01:26:19,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2139638Z [2022-11-23 01:26:19,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2139916Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2140173Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2140420Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2140707Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2140953Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2141411Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2141768Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2142159Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2142568Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2143030Z [2022-11-23 01:26:19,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2143488Z [2022-11-23 01:26:19,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2143766Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2144023Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2144270Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2144555Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2144814Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2145216Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2145558Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2145945Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2146353Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2146818Z [2022-11-23 01:26:19,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2147234Z [2022-11-23 01:26:19,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2147511Z [2022-11-23 01:26:19,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2147771Z [2022-11-23 01:26:19,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2148019Z [2022-11-23 01:26:19,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2148303Z [2022-11-23 01:26:19,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2148591Z [2022-11-23 01:26:19,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2148997Z [2022-11-23 01:26:19,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2149351Z [2022-11-23 01:26:19,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2149735Z [2022-11-23 01:26:19,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2150134Z [2022-11-23 01:26:19,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2150622Z [2022-11-23 01:26:19,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2151038Z [2022-11-23 01:26:19,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2151313Z [2022-11-23 01:26:19,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2151570Z [2022-11-23 01:26:19,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2151818Z [2022-11-23 01:26:19,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2152106Z [2022-11-23 01:26:19,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2152362Z [2022-11-23 01:26:19,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2152761Z [2022-11-23 01:26:19,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2153118Z [2022-11-23 01:26:19,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2153503Z [2022-11-23 01:26:19,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2153983Z [2022-11-23 01:26:19,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2154450Z [2022-11-23 01:26:19,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2154857Z [2022-11-23 01:26:19,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2155133Z [2022-11-23 01:26:19,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2155388Z [2022-11-23 01:26:19,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2155679Z [2022-11-23 01:26:19,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2155972Z [2022-11-23 01:26:19,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2156233Z [2022-11-23 01:26:19,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2156635Z [2022-11-23 01:26:19,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2156990Z [2022-11-23 01:26:19,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2157403Z [2022-11-23 01:26:19,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2157816Z [2022-11-23 01:26:19,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2158279Z [2022-11-23 01:26:19,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2158694Z [2022-11-23 01:26:19,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2158969Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2159219Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2159464Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2159745Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2160002Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2160401Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2160758Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2161147Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2161556Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2162024Z [2022-11-23 01:26:19,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2162447Z [2022-11-23 01:26:19,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2162756Z [2022-11-23 01:26:19,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2163014Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2163250Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2163535Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2163789Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2164191Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2164578Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2164964Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2165373Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2165834Z [2022-11-23 01:26:19,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2166257Z [2022-11-23 01:26:19,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2166532Z [2022-11-23 01:26:19,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2166789Z [2022-11-23 01:26:19,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2167033Z [2022-11-23 01:26:19,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2167305Z [2022-11-23 01:26:19,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2167561Z [2022-11-23 01:26:19,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2167960Z [2022-11-23 01:26:19,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2168320Z [2022-11-23 01:26:19,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2168703Z [2022-11-23 01:26:19,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2169109Z [2022-11-23 01:26:19,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2169570Z [2022-11-23 01:26:19,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2170019Z [2022-11-23 01:26:19,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2170298Z [2022-11-23 01:26:19,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2170556Z [2022-11-23 01:26:19,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2170803Z [2022-11-23 01:26:19,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2171093Z [2022-11-23 01:26:19,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2171350Z [2022-11-23 01:26:19,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2171770Z [2022-11-23 01:26:19,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2172127Z [2022-11-23 01:26:19,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2172512Z [2022-11-23 01:26:19,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2172920Z [2022-11-23 01:26:19,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2173384Z [2022-11-23 01:26:19,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2173802Z [2022-11-23 01:26:19,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2174076Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2174332Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2174579Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2174864Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2175126Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2175528Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2175871Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2176256Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2176768Z [2022-11-23 01:26:19,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2177275Z [2022-11-23 01:26:19,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2177697Z [2022-11-23 01:26:19,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2177975Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2178233Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2178480Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2178813Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2179070Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2179474Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2179828Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2180214Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2180616Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2181076Z [2022-11-23 01:26:19,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2181494Z [2022-11-23 01:26:19,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2181770Z [2022-11-23 01:26:19,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2182025Z [2022-11-23 01:26:19,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2182274Z [2022-11-23 01:26:19,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2182560Z [2022-11-23 01:26:19,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2182819Z [2022-11-23 01:26:19,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2183221Z [2022-11-23 01:26:19,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2183577Z [2022-11-23 01:26:19,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2183967Z [2022-11-23 01:26:19,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2184407Z [2022-11-23 01:26:19,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2184872Z [2022-11-23 01:26:19,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2185290Z [2022-11-23 01:26:19,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2185554Z [2022-11-23 01:26:19,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2185836Z [2022-11-23 01:26:19,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2186086Z [2022-11-23 01:26:19,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2186373Z [2022-11-23 01:26:19,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2186631Z [2022-11-23 01:26:19,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2187032Z [2022-11-23 01:26:19,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2187385Z [2022-11-23 01:26:19,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2187774Z [2022-11-23 01:26:19,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2188181Z [2022-11-23 01:26:19,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2188641Z [2022-11-23 01:26:19,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2189059Z [2022-11-23 01:26:19,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2189337Z [2022-11-23 01:26:19,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2189582Z [2022-11-23 01:26:19,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2189827Z [2022-11-23 01:26:19,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2190112Z [2022-11-23 01:26:19,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2190367Z [2022-11-23 01:26:19,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2190766Z [2022-11-23 01:26:19,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2191122Z [2022-11-23 01:26:19,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2191544Z [2022-11-23 01:26:19,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2191953Z [2022-11-23 01:26:19,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2192415Z [2022-11-23 01:26:19,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2192830Z [2022-11-23 01:26:19,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2193136Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2193392Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2193626Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2193988Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2194248Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2194653Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2195014Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2195401Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2195812Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2196278Z [2022-11-23 01:26:19,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2196701Z [2022-11-23 01:26:19,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2196979Z [2022-11-23 01:26:19,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2197238Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2197487Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2197759Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2198018Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2198462Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2198822Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2199208Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2199614Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2200077Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2200525Z [2022-11-23 01:26:19,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2200804Z [2022-11-23 01:26:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2201061Z [2022-11-23 01:26:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2201311Z [2022-11-23 01:26:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2201600Z [2022-11-23 01:26:19,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2201860Z [2022-11-23 01:26:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2202250Z [2022-11-23 01:26:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2202610Z [2022-11-23 01:26:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2202997Z [2022-11-23 01:26:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2203406Z [2022-11-23 01:26:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2203870Z [2022-11-23 01:26:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2204293Z [2022-11-23 01:26:19,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2204572Z [2022-11-23 01:26:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2204830Z [2022-11-23 01:26:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2205079Z [2022-11-23 01:26:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2205365Z [2022-11-23 01:26:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2205649Z [2022-11-23 01:26:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2206052Z [2022-11-23 01:26:19,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2206394Z [2022-11-23 01:26:19,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2206782Z [2022-11-23 01:26:19,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2207229Z [2022-11-23 01:26:19,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2207694Z [2022-11-23 01:26:19,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2208114Z [2022-11-23 01:26:19,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2208394Z [2022-11-23 01:26:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2208652Z [2022-11-23 01:26:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2208903Z [2022-11-23 01:26:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2209193Z [2022-11-23 01:26:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2209449Z [2022-11-23 01:26:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2209854Z [2022-11-23 01:26:19,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2210213Z [2022-11-23 01:26:19,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2210600Z [2022-11-23 01:26:19,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2211006Z [2022-11-23 01:26:19,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2211466Z [2022-11-23 01:26:19,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2211885Z [2022-11-23 01:26:19,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2212160Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2212419Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2212693Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2212978Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2213232Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2213635Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2213994Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2214411Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2214817Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2215275Z [2022-11-23 01:26:19,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2215693Z [2022-11-23 01:26:19,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2215961Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2216218Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2216601Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2216891Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2217147Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2217548Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2217903Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2218298Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2218710Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2219170Z [2022-11-23 01:26:19,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2219588Z [2022-11-23 01:26:19,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2219917Z [2022-11-23 01:26:19,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2220163Z [2022-11-23 01:26:19,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2220409Z [2022-11-23 01:26:19,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2220692Z [2022-11-23 01:26:19,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2220946Z [2022-11-23 01:26:19,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2221352Z [2022-11-23 01:26:19,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2221769Z [2022-11-23 01:26:19,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2222153Z [2022-11-23 01:26:19,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2222561Z [2022-11-23 01:26:19,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2223025Z [2022-11-23 01:26:19,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2223444Z [2022-11-23 01:26:19,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2223725Z [2022-11-23 01:26:19,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2223979Z [2022-11-23 01:26:19,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2224216Z [2022-11-23 01:26:19,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2224500Z [2022-11-23 01:26:19,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2224757Z [2022-11-23 01:26:19,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2225164Z [2022-11-23 01:26:19,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2225520Z [2022-11-23 01:26:19,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2225908Z [2022-11-23 01:26:19,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2226317Z [2022-11-23 01:26:19,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2226778Z [2022-11-23 01:26:19,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2227228Z [2022-11-23 01:26:19,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2227508Z [2022-11-23 01:26:19,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2227764Z [2022-11-23 01:26:19,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2228011Z [2022-11-23 01:26:19,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2228283Z [2022-11-23 01:26:19,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2228566Z [2022-11-23 01:26:19,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2228968Z [2022-11-23 01:26:19,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2229323Z [2022-11-23 01:26:19,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2229711Z [2022-11-23 01:26:19,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2230117Z [2022-11-23 01:26:19,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2230582Z [2022-11-23 01:26:19,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2231001Z [2022-11-23 01:26:19,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2231276Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2231531Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2231778Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2232068Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2232326Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2232713Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2233065Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2233452Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2233924Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2234423Z [2022-11-23 01:26:19,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2234840Z [2022-11-23 01:26:19,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2235116Z [2022-11-23 01:26:19,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2235378Z [2022-11-23 01:26:19,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2235654Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2235941Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2236197Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2236599Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2236942Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2237326Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2237737Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2238206Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2238625Z [2022-11-23 01:26:19,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2238902Z [2022-11-23 01:26:19,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2239161Z [2022-11-23 01:26:19,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2239411Z [2022-11-23 01:26:19,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2239697Z [2022-11-23 01:26:19,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2239951Z [2022-11-23 01:26:19,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2240354Z [2022-11-23 01:26:19,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2240707Z [2022-11-23 01:26:19,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2241133Z [2022-11-23 01:26:19,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2241532Z [2022-11-23 01:26:19,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2241993Z [2022-11-23 01:26:19,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2242413Z [2022-11-23 01:26:19,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2242689Z [2022-11-23 01:26:19,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2242973Z [2022-11-23 01:26:19,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2243220Z [2022-11-23 01:26:19,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2243504Z [2022-11-23 01:26:19,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2243757Z [2022-11-23 01:26:19,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2244156Z [2022-11-23 01:26:19,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2244509Z [2022-11-23 01:26:19,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2244900Z [2022-11-23 01:26:19,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2245308Z [2022-11-23 01:26:19,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2245769Z [2022-11-23 01:26:19,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2246184Z [2022-11-23 01:26:19,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2246453Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2246708Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2246956Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2247242Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2247497Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2247898Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2248283Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2248671Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2249080Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2249542Z [2022-11-23 01:26:19,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2249985Z [2022-11-23 01:26:19,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2250261Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2250506Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2250757Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2251038Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2251296Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2251695Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2252056Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2252439Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2252844Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2253307Z [2022-11-23 01:26:19,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2253726Z [2022-11-23 01:26:19,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2254004Z [2022-11-23 01:26:19,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2254258Z [2022-11-23 01:26:19,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2254494Z [2022-11-23 01:26:19,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2254779Z [2022-11-23 01:26:19,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2255035Z [2022-11-23 01:26:19,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2255467Z [2022-11-23 01:26:19,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2255824Z [2022-11-23 01:26:19,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2256207Z [2022-11-23 01:26:19,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2256791Z [2022-11-23 01:26:19,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2257298Z [2022-11-23 01:26:19,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2257718Z [2022-11-23 01:26:19,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2257994Z [2022-11-23 01:26:19,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2258250Z [2022-11-23 01:26:19,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2258496Z [2022-11-23 01:26:19,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2258784Z [2022-11-23 01:26:19,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2259036Z [2022-11-23 01:26:19,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:30:20.2259437Z [2022-11-23 01:26:19,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2259791Z [2022-11-23 01:26:19,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2260178Z [2022-11-23 01:26:19,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2260584Z [2022-11-23 01:26:19,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.2261054Z [2022-11-23 01:26:19,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2261469Z [2022-11-23 01:26:19,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2261745Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2262000Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 16 [ListIteratorVariable()]
2022-11-23T01:30:20.2262248Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 38 [ListIteratorVariable()]
2022-11-23T01:30:20.2262606Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2409
2022-11-23T01:30:20.2262816Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.2263047Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2263424Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f4450, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2405>
2022-11-23T01:30:20.2263668Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2263901Z [2022-11-23 01:26:19,457] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2264180Z [2022-11-23 01:26:19,463] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2264428Z [2022-11-23 01:26:19,498] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2264615Z [2022-11-23 01:26:19,498] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2264752Z  __compiled_fn_327 <eval_with_key>.2779 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2264841Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2264913Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.2264996Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.2265080Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:20.2265163Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:30:20.2265247Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:30:20.2265328Z placeholder, ex_6_, ex_6_, (), {}
2022-11-23T01:30:20.2265409Z placeholder, ex_7_, ex_7_, (), {}
2022-11-23T01:30:20.2265478Z placeholder, ex_8_, ex_8_, (), {}
2022-11-23T01:30:20.2265562Z placeholder, ex_9_, ex_9_, (), {}
2022-11-23T01:30:20.2265649Z placeholder, ex_10_, ex_10_, (), {}
2022-11-23T01:30:20.2265732Z placeholder, ex_11_, ex_11_, (), {}
2022-11-23T01:30:20.2265816Z placeholder, ex_12_, ex_12_, (), {}
2022-11-23T01:30:20.2265899Z placeholder, ex_13_, ex_13_, (), {}
2022-11-23T01:30:20.2265984Z placeholder, ex_14_, ex_14_, (), {}
2022-11-23T01:30:20.2266054Z placeholder, ex_15_, ex_15_, (), {}
2022-11-23T01:30:20.2266136Z placeholder, ex_16_, ex_16_, (), {}
2022-11-23T01:30:20.2266218Z placeholder, ex_17_, ex_17_, (), {}
2022-11-23T01:30:20.2266300Z placeholder, ex_18_, ex_18_, (), {}
2022-11-23T01:30:20.2266382Z placeholder, ex_19_, ex_19_, (), {}
2022-11-23T01:30:20.2266466Z placeholder, ex_20_, ex_20_, (), {}
2022-11-23T01:30:20.2266537Z placeholder, ex_21_, ex_21_, (), {}
2022-11-23T01:30:20.2266618Z placeholder, ex_22_, ex_22_, (), {}
2022-11-23T01:30:20.2266700Z placeholder, ex_23_, ex_23_, (), {}
2022-11-23T01:30:20.2266781Z placeholder, ex_24_, ex_24_, (), {}
2022-11-23T01:30:20.2266865Z placeholder, ex_25_, ex_25_, (), {}
2022-11-23T01:30:20.2266946Z placeholder, ex_26_, ex_26_, (), {}
2022-11-23T01:30:20.2267033Z placeholder, ex_27_, ex_27_, (), {}
2022-11-23T01:30:20.2267103Z placeholder, ex_28_, ex_28_, (), {}
2022-11-23T01:30:20.2267185Z placeholder, ex_29_, ex_29_, (), {}
2022-11-23T01:30:20.2267266Z placeholder, ex_30_, ex_30_, (), {}
2022-11-23T01:30:20.2267350Z placeholder, ex_31_, ex_31_, (), {}
2022-11-23T01:30:20.2267432Z placeholder, ex_32_, ex_32_, (), {}
2022-11-23T01:30:20.2267513Z placeholder, ex_33_, ex_33_, (), {}
2022-11-23T01:30:20.2267595Z placeholder, ex_34_, ex_34_, (), {}
2022-11-23T01:30:20.2267666Z placeholder, ex_35_, ex_35_, (), {}
2022-11-23T01:30:20.2267748Z placeholder, ex_36_, ex_36_, (), {}
2022-11-23T01:30:20.2267829Z placeholder, ex_37_, ex_37_, (), {}
2022-11-23T01:30:20.2267910Z placeholder, ex_38_, ex_38_, (), {}
2022-11-23T01:30:20.2267992Z placeholder, ex_39_, ex_39_, (), {}
2022-11-23T01:30:20.2268074Z placeholder, ex_40_, ex_40_, (), {}
2022-11-23T01:30:20.2268156Z placeholder, ex_41_, ex_41_, (), {}
2022-11-23T01:30:20.2268226Z placeholder, ex_42_, ex_42_, (), {}
2022-11-23T01:30:20.2268339Z placeholder, ex_43_, ex_43_, (), {}
2022-11-23T01:30:20.2268422Z placeholder, ex_44_, ex_44_, (), {}
2022-11-23T01:30:20.2268503Z placeholder, ex_45_, ex_45_, (), {}
2022-11-23T01:30:20.2268585Z placeholder, ex_46_, ex_46_, (), {}
2022-11-23T01:30:20.2268669Z placeholder, ex_47_, ex_47_, (), {}
2022-11-23T01:30:20.2268750Z placeholder, ex_48_, ex_48_, (), {}
2022-11-23T01:30:20.2268820Z placeholder, ex_49_, ex_49_, (), {}
2022-11-23T01:30:20.2269052Z call_function, add, <built-in method add of type object at 0x7ff5d7c59c60>, (ex_0_, ex_0_), {}
2022-11-23T01:30:20.2269281Z call_function, add_1, <built-in method add of type object at 0x7ff5d7c59c60>, (add, ex_1_), {}
2022-11-23T01:30:20.2269514Z call_function, add_2, <built-in method add of type object at 0x7ff5d7c59c60>, (add_1, ex_2_), {}
2022-11-23T01:30:20.2269770Z call_function, add_3, <built-in method add of type object at 0x7ff5d7c59c60>, (add_2, ex_3_), {}
2022-11-23T01:30:20.2270000Z call_function, add_4, <built-in method add of type object at 0x7ff5d7c59c60>, (add_3, ex_4_), {}
2022-11-23T01:30:20.2270233Z call_function, add_5, <built-in method add of type object at 0x7ff5d7c59c60>, (add_4, ex_5_), {}
2022-11-23T01:30:20.2270458Z call_function, add_6, <built-in method add of type object at 0x7ff5d7c59c60>, (add_5, ex_6_), {}
2022-11-23T01:30:20.2270684Z call_function, add_7, <built-in method add of type object at 0x7ff5d7c59c60>, (add_6, ex_7_), {}
2022-11-23T01:30:20.2270898Z call_function, add_8, <built-in method add of type object at 0x7ff5d7c59c60>, (add_7, ex_8_), {}
2022-11-23T01:30:20.2271122Z call_function, add_9, <built-in method add of type object at 0x7ff5d7c59c60>, (add_8, ex_9_), {}
2022-11-23T01:30:20.2271353Z call_function, add_10, <built-in method add of type object at 0x7ff5d7c59c60>, (add_9, ex_10_), {}
2022-11-23T01:30:20.2271587Z call_function, add_11, <built-in method add of type object at 0x7ff5d7c59c60>, (add_10, ex_11_), {}
2022-11-23T01:30:20.2271820Z call_function, add_12, <built-in method add of type object at 0x7ff5d7c59c60>, (add_11, ex_12_), {}
2022-11-23T01:30:20.2272045Z call_function, add_13, <built-in method add of type object at 0x7ff5d7c59c60>, (add_12, ex_13_), {}
2022-11-23T01:30:20.2272267Z call_function, add_14, <built-in method add of type object at 0x7ff5d7c59c60>, (add_13, ex_14_), {}
2022-11-23T01:30:20.2272485Z call_function, add_15, <built-in method add of type object at 0x7ff5d7c59c60>, (add_14, ex_15_), {}
2022-11-23T01:30:20.2272693Z call_function, add_16, <built-in method add of type object at 0x7ff5d7c59c60>, (add_15, ex_16_), {}
2022-11-23T01:30:20.2272909Z call_function, add_17, <built-in method add of type object at 0x7ff5d7c59c60>, (add_16, ex_17_), {}
2022-11-23T01:30:20.2273127Z call_function, add_18, <built-in method add of type object at 0x7ff5d7c59c60>, (add_17, ex_18_), {}
2022-11-23T01:30:20.2273349Z call_function, add_19, <built-in method add of type object at 0x7ff5d7c59c60>, (add_18, ex_19_), {}
2022-11-23T01:30:20.2273570Z call_function, add_20, <built-in method add of type object at 0x7ff5d7c59c60>, (add_19, ex_20_), {}
2022-11-23T01:30:20.2273789Z call_function, add_21, <built-in method add of type object at 0x7ff5d7c59c60>, (add_20, ex_21_), {}
2022-11-23T01:30:20.2274077Z call_function, add_22, <built-in method add of type object at 0x7ff5d7c59c60>, (add_21, ex_22_), {}
2022-11-23T01:30:20.2274297Z call_function, add_23, <built-in method add of type object at 0x7ff5d7c59c60>, (add_22, ex_23_), {}
2022-11-23T01:30:20.2274518Z call_function, add_24, <built-in method add of type object at 0x7ff5d7c59c60>, (add_23, ex_24_), {}
2022-11-23T01:30:20.2274724Z call_function, add_25, <built-in method add of type object at 0x7ff5d7c59c60>, (add_24, ex_25_), {}
2022-11-23T01:30:20.2274945Z call_function, add_26, <built-in method add of type object at 0x7ff5d7c59c60>, (add_25, ex_26_), {}
2022-11-23T01:30:20.2275172Z call_function, add_27, <built-in method add of type object at 0x7ff5d7c59c60>, (add_26, ex_27_), {}
2022-11-23T01:30:20.2275426Z call_function, add_28, <built-in method add of type object at 0x7ff5d7c59c60>, (add_27, ex_28_), {}
2022-11-23T01:30:20.2275646Z call_function, add_29, <built-in method add of type object at 0x7ff5d7c59c60>, (add_28, ex_29_), {}
2022-11-23T01:30:20.2275869Z call_function, add_30, <built-in method add of type object at 0x7ff5d7c59c60>, (add_29, ex_30_), {}
2022-11-23T01:30:20.2276095Z call_function, add_31, <built-in method add of type object at 0x7ff5d7c59c60>, (add_30, ex_31_), {}
2022-11-23T01:30:20.2276317Z call_function, add_32, <built-in method add of type object at 0x7ff5d7c59c60>, (add_31, ex_32_), {}
2022-11-23T01:30:20.2276536Z call_function, add_33, <built-in method add of type object at 0x7ff5d7c59c60>, (add_32, ex_33_), {}
2022-11-23T01:30:20.2276742Z call_function, add_34, <built-in method add of type object at 0x7ff5d7c59c60>, (add_33, ex_34_), {}
2022-11-23T01:30:20.2276990Z call_function, add_35, <built-in method add of type object at 0x7ff5d7c59c60>, (add_34, ex_35_), {}
2022-11-23T01:30:20.2277214Z call_function, add_36, <built-in method add of type object at 0x7ff5d7c59c60>, (add_35, ex_36_), {}
2022-11-23T01:30:20.2277435Z call_function, add_37, <built-in method add of type object at 0x7ff5d7c59c60>, (add_36, ex_37_), {}
2022-11-23T01:30:20.2277656Z call_function, add_38, <built-in method add of type object at 0x7ff5d7c59c60>, (add_37, ex_38_), {}
2022-11-23T01:30:20.2277876Z call_function, add_39, <built-in method add of type object at 0x7ff5d7c59c60>, (add_38, ex_39_), {}
2022-11-23T01:30:20.2278098Z call_function, add_40, <built-in method add of type object at 0x7ff5d7c59c60>, (add_39, ex_40_), {}
2022-11-23T01:30:20.2278318Z call_function, add_41, <built-in method add of type object at 0x7ff5d7c59c60>, (add_40, ex_41_), {}
2022-11-23T01:30:20.2278538Z call_function, add_42, <built-in method add of type object at 0x7ff5d7c59c60>, (add_41, ex_42_), {}
2022-11-23T01:30:20.2278747Z call_function, add_43, <built-in method add of type object at 0x7ff5d7c59c60>, (add_42, ex_43_), {}
2022-11-23T01:30:20.2278970Z call_function, add_44, <built-in method add of type object at 0x7ff5d7c59c60>, (add_43, ex_44_), {}
2022-11-23T01:30:20.2279191Z call_function, add_45, <built-in method add of type object at 0x7ff5d7c59c60>, (add_44, ex_45_), {}
2022-11-23T01:30:20.2279413Z call_function, add_46, <built-in method add of type object at 0x7ff5d7c59c60>, (add_45, ex_46_), {}
2022-11-23T01:30:20.2279635Z call_function, add_47, <built-in method add of type object at 0x7ff5d7c59c60>, (add_46, ex_47_), {}
2022-11-23T01:30:20.2279857Z call_function, add_48, <built-in method add of type object at 0x7ff5d7c59c60>, (add_47, ex_48_), {}
2022-11-23T01:30:20.2280079Z call_function, add_49, <built-in method add of type object at 0x7ff5d7c59c60>, (add_48, ex_49_), {}
2022-11-23T01:30:20.2280178Z output, output, output, ((add_49,),), {}
2022-11-23T01:30:20.2280187Z 
2022-11-23T01:30:20.2280519Z [2022-11-23 01:26:19,500] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2280604Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2280696Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2280785Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2280878Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2280964Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2281056Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2281133Z              12 RETURN_VALUE
2022-11-23T01:30:20.2281138Z 
2022-11-23T01:30:20.2281187Z  
2022-11-23T01:30:20.2281512Z [2022-11-23 01:26:19,501] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2281621Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_327)
2022-11-23T01:30:20.2281715Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2281807Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2281885Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2282002Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2282092Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2282154Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.2282241Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2282327Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2282407Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.2282491Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2282578Z              22 LOAD_CONST               4 (3)
2022-11-23T01:30:20.2282652Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.2282726Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2282812Z              28 LOAD_CONST               5 (4)
2022-11-23T01:30:20.2282890Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.2283003Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2283089Z              34 LOAD_CONST               6 (5)
2022-11-23T01:30:20.2283167Z              36 BINARY_SUBSCR
2022-11-23T01:30:20.2283250Z              38 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2283322Z              40 LOAD_CONST               7 (6)
2022-11-23T01:30:20.2283394Z              42 BINARY_SUBSCR
2022-11-23T01:30:20.2283480Z              44 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2283563Z              46 LOAD_CONST               8 (7)
2022-11-23T01:30:20.2283635Z              48 BINARY_SUBSCR
2022-11-23T01:30:20.2283718Z              50 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2283800Z              52 LOAD_CONST               9 (8)
2022-11-23T01:30:20.2283861Z              54 BINARY_SUBSCR
2022-11-23T01:30:20.2283944Z              56 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2284027Z              58 LOAD_CONST              10 (9)
2022-11-23T01:30:20.2284103Z              60 BINARY_SUBSCR
2022-11-23T01:30:20.2284186Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2284273Z              64 LOAD_CONST              11 (10)
2022-11-23T01:30:20.2284347Z              66 BINARY_SUBSCR
2022-11-23T01:30:20.2284417Z              68 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2284502Z              70 LOAD_CONST              12 (11)
2022-11-23T01:30:20.2284575Z              72 BINARY_SUBSCR
2022-11-23T01:30:20.2284658Z              74 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2284741Z              76 LOAD_CONST              13 (12)
2022-11-23T01:30:20.2284813Z              78 BINARY_SUBSCR
2022-11-23T01:30:20.2284896Z              80 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2284968Z              82 LOAD_CONST              14 (13)
2022-11-23T01:30:20.2285040Z              84 BINARY_SUBSCR
2022-11-23T01:30:20.2285123Z              86 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2285207Z              88 LOAD_CONST              15 (14)
2022-11-23T01:30:20.2285282Z              90 BINARY_SUBSCR
2022-11-23T01:30:20.2285364Z              92 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2285448Z              94 LOAD_CONST              16 (15)
2022-11-23T01:30:20.2285509Z              96 BINARY_SUBSCR
2022-11-23T01:30:20.2285592Z              98 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2285675Z             100 LOAD_CONST              17 (16)
2022-11-23T01:30:20.2285751Z             102 BINARY_SUBSCR
2022-11-23T01:30:20.2285834Z             104 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2285918Z             106 LOAD_CONST              18 (17)
2022-11-23T01:30:20.2285991Z             108 BINARY_SUBSCR
2022-11-23T01:30:20.2286061Z             110 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2286143Z             112 LOAD_CONST              19 (18)
2022-11-23T01:30:20.2286215Z             114 BINARY_SUBSCR
2022-11-23T01:30:20.2286299Z             116 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2286388Z             118 LOAD_CONST              20 (19)
2022-11-23T01:30:20.2286460Z             120 BINARY_SUBSCR
2022-11-23T01:30:20.2286580Z             122 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2286652Z             124 LOAD_CONST              21 (20)
2022-11-23T01:30:20.2286725Z             126 BINARY_SUBSCR
2022-11-23T01:30:20.2286808Z             128 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2286890Z             130 LOAD_CONST              22 (21)
2022-11-23T01:30:20.2286962Z             132 BINARY_SUBSCR
2022-11-23T01:30:20.2287044Z             134 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2287126Z             136 LOAD_CONST              23 (22)
2022-11-23T01:30:20.2287187Z             138 BINARY_SUBSCR
2022-11-23T01:30:20.2287270Z             140 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2287353Z             142 LOAD_CONST              24 (23)
2022-11-23T01:30:20.2287426Z             144 BINARY_SUBSCR
2022-11-23T01:30:20.2287509Z             146 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2287618Z             148 LOAD_CONST              25 (24)
2022-11-23T01:30:20.2287691Z             150 BINARY_SUBSCR
2022-11-23T01:30:20.2287764Z             152 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2287848Z             154 LOAD_CONST              26 (25)
2022-11-23T01:30:20.2287922Z             156 BINARY_SUBSCR
2022-11-23T01:30:20.2288005Z             158 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2288087Z             160 LOAD_CONST              27 (26)
2022-11-23T01:30:20.2288160Z             162 BINARY_SUBSCR
2022-11-23T01:30:20.2288243Z             164 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2288314Z             166 LOAD_CONST              28 (27)
2022-11-23T01:30:20.2288387Z             168 BINARY_SUBSCR
2022-11-23T01:30:20.2288470Z             170 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2288552Z             172 LOAD_CONST              29 (28)
2022-11-23T01:30:20.2288625Z             174 BINARY_SUBSCR
2022-11-23T01:30:20.2288709Z             176 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2288791Z             178 LOAD_CONST              30 (29)
2022-11-23T01:30:20.2288854Z             180 BINARY_SUBSCR
2022-11-23T01:30:20.2288937Z             182 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2289020Z             184 LOAD_CONST              31 (30)
2022-11-23T01:30:20.2289093Z             186 BINARY_SUBSCR
2022-11-23T01:30:20.2289177Z             188 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2289259Z             190 LOAD_CONST              32 (31)
2022-11-23T01:30:20.2289331Z             192 BINARY_SUBSCR
2022-11-23T01:30:20.2289401Z             194 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2289483Z             196 LOAD_CONST              33 (32)
2022-11-23T01:30:20.2289556Z             198 BINARY_SUBSCR
2022-11-23T01:30:20.2289639Z             200 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2289723Z             202 LOAD_CONST              34 (33)
2022-11-23T01:30:20.2289798Z             204 BINARY_SUBSCR
2022-11-23T01:30:20.2289880Z             206 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2289950Z             208 LOAD_CONST              35 (34)
2022-11-23T01:30:20.2290025Z             210 BINARY_SUBSCR
2022-11-23T01:30:20.2290107Z             212 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2290190Z             214 LOAD_CONST              36 (35)
2022-11-23T01:30:20.2290262Z             216 BINARY_SUBSCR
2022-11-23T01:30:20.2290344Z             218 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2290425Z             220 LOAD_CONST              37 (36)
2022-11-23T01:30:20.2290501Z             222 BINARY_SUBSCR
2022-11-23T01:30:20.2290571Z             224 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2290654Z             226 LOAD_CONST              38 (37)
2022-11-23T01:30:20.2290726Z             228 BINARY_SUBSCR
2022-11-23T01:30:20.2290807Z             230 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2290889Z             232 LOAD_CONST              39 (38)
2022-11-23T01:30:20.2290963Z             234 BINARY_SUBSCR
2022-11-23T01:30:20.2291044Z             236 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2291141Z             238 LOAD_CONST              40 (39)
2022-11-23T01:30:20.2291215Z             240 BINARY_SUBSCR
2022-11-23T01:30:20.2291297Z             242 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2291381Z             244 LOAD_CONST              41 (40)
2022-11-23T01:30:20.2291454Z             246 BINARY_SUBSCR
2022-11-23T01:30:20.2291536Z             248 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2291619Z             250 LOAD_CONST              42 (41)
2022-11-23T01:30:20.2291680Z             252 BINARY_SUBSCR
2022-11-23T01:30:20.2291762Z             254 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2291849Z             256 LOAD_CONST              43 (42)
2022-11-23T01:30:20.2291925Z             258 BINARY_SUBSCR
2022-11-23T01:30:20.2292007Z             260 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2292117Z             262 LOAD_CONST              44 (43)
2022-11-23T01:30:20.2292189Z             264 BINARY_SUBSCR
2022-11-23T01:30:20.2292259Z             266 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2292344Z             268 LOAD_CONST              45 (44)
2022-11-23T01:30:20.2292417Z             270 BINARY_SUBSCR
2022-11-23T01:30:20.2292500Z             272 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2292582Z             274 LOAD_CONST              46 (45)
2022-11-23T01:30:20.2292655Z             276 BINARY_SUBSCR
2022-11-23T01:30:20.2292737Z             278 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2292808Z             280 LOAD_CONST              47 (46)
2022-11-23T01:30:20.2292880Z             282 BINARY_SUBSCR
2022-11-23T01:30:20.2292962Z             284 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2293044Z             286 LOAD_CONST              48 (47)
2022-11-23T01:30:20.2293116Z             288 BINARY_SUBSCR
2022-11-23T01:30:20.2293198Z             290 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2293281Z             292 LOAD_CONST              49 (48)
2022-11-23T01:30:20.2293342Z             294 BINARY_SUBSCR
2022-11-23T01:30:20.2293426Z             296 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2293509Z             298 LOAD_CONST              50 (49)
2022-11-23T01:30:20.2293583Z             300 BINARY_SUBSCR
2022-11-23T01:30:20.2293669Z             302 CALL_FUNCTION           50
2022-11-23T01:30:20.2293770Z             304 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2293898Z             306 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.2293982Z             308 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.2294069Z             310 CALL_FUNCTION            0
2022-11-23T01:30:20.2294163Z             312 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.2294265Z             314 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2294353Z             316 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2294429Z             318 BINARY_SUBSCR
2022-11-23T01:30:20.2294521Z             320 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2294609Z             322 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.2294696Z             324 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2294771Z             326 BINARY_SUBSCR
2022-11-23T01:30:20.2294871Z             328 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.2294960Z             330 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2295055Z             332 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.2295140Z             334 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2295214Z             336 BINARY_SUBSCR
2022-11-23T01:30:20.2295301Z             338 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.2295374Z             340 RETURN_VALUE
2022-11-23T01:30:20.2295380Z 
2022-11-23T01:30:20.2295441Z  
2022-11-23T01:30:20.2295645Z [2022-11-23 01:26:19,503] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2295714Z  - 
2022-11-23T01:30:20.2295831Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2295895Z             {
2022-11-23T01:30:20.2296049Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2296239Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 50'],
2022-11-23T01:30:20.2296360Z                 'obj_weakref': None
2022-11-23T01:30:20.2296814Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2296879Z             }
2022-11-23T01:30:20.2296942Z             
2022-11-23T01:30:20.2297012Z  - 
2022-11-23T01:30:20.2297123Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2297186Z             {
2022-11-23T01:30:20.2297327Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2297433Z                 'code': None,
2022-11-23T01:30:20.2297646Z                 'obj_weakref': <weakref at 0x7ff58ff88a40; to 'Tensor' at 0x7ff57ef7b1a0>
2022-11-23T01:30:20.2297956Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2298022Z             }
2022-11-23T01:30:20.2298072Z             
2022-11-23T01:30:20.2298141Z  - 
2022-11-23T01:30:20.2298263Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.2298327Z             {
2022-11-23T01:30:20.2298468Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2298574Z                 'code': None,
2022-11-23T01:30:20.2298785Z                 'obj_weakref': <weakref at 0x7ff5a84175b0; to 'Tensor' at 0x7ff59c138720>
2022-11-23T01:30:20.2299023Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2299085Z             }
2022-11-23T01:30:20.2299147Z             
2022-11-23T01:30:20.2299218Z  - 
2022-11-23T01:30:20.2299340Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.2299405Z             {
2022-11-23T01:30:20.2299547Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2299640Z                 'code': None,
2022-11-23T01:30:20.2299850Z                 'obj_weakref': <weakref at 0x7ff5a8414860; to 'Tensor' at 0x7ff59c1393f0>
2022-11-23T01:30:20.2300101Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2300164Z             }
2022-11-23T01:30:20.2300227Z             
2022-11-23T01:30:20.2300295Z  - 
2022-11-23T01:30:20.2300416Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.2300467Z             {
2022-11-23T01:30:20.2300604Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2300709Z                 'code': None,
2022-11-23T01:30:20.2300916Z                 'obj_weakref': <weakref at 0x7ff5a825b560; to 'Tensor' at 0x7ff59c13b830>
2022-11-23T01:30:20.2301165Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2301229Z             }
2022-11-23T01:30:20.2301290Z             
2022-11-23T01:30:20.2301345Z  - 
2022-11-23T01:30:20.2301467Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:30:20.2301529Z             {
2022-11-23T01:30:20.2301670Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2301774Z                 'code': None,
2022-11-23T01:30:20.2301983Z                 'obj_weakref': <weakref at 0x7ff59c061da0; to 'Tensor' at 0x7ff5a87a3010>
2022-11-23T01:30:20.2302230Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2302280Z             }
2022-11-23T01:30:20.2302341Z             
2022-11-23T01:30:20.2302409Z  - 
2022-11-23T01:30:20.2302531Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:30:20.2302592Z             {
2022-11-23T01:30:20.2302732Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2302837Z                 'code': None,
2022-11-23T01:30:20.2303036Z                 'obj_weakref': <weakref at 0x7ff59c0610d0; to 'Tensor' at 0x7ff5a87a0d60>
2022-11-23T01:30:20.2303318Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2303385Z             }
2022-11-23T01:30:20.2303447Z             
2022-11-23T01:30:20.2303516Z  - 
2022-11-23T01:30:20.2303637Z             local 'ex[6]' TENSOR_MATCH
2022-11-23T01:30:20.2303699Z             {
2022-11-23T01:30:20.2303828Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2303935Z                 'code': None,
2022-11-23T01:30:20.2304141Z                 'obj_weakref': <weakref at 0x7ff59c0603b0; to 'Tensor' at 0x7ff5a87a1210>
2022-11-23T01:30:20.2304390Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2304454Z             }
2022-11-23T01:30:20.2304515Z             
2022-11-23T01:30:20.2304584Z  - 
2022-11-23T01:30:20.2304721Z             local 'ex[7]' TENSOR_MATCH
2022-11-23T01:30:20.2304782Z             {
2022-11-23T01:30:20.2304922Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2305029Z                 'code': None,
2022-11-23T01:30:20.2305237Z                 'obj_weakref': <weakref at 0x7ff59c062bb0; to 'Tensor' at 0x7ff5a87a09a0>
2022-11-23T01:30:20.2305483Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2305546Z             }
2022-11-23T01:30:20.2305596Z             
2022-11-23T01:30:20.2305663Z  - 
2022-11-23T01:30:20.2305783Z             local 'ex[8]' TENSOR_MATCH
2022-11-23T01:30:20.2305846Z             {
2022-11-23T01:30:20.2305986Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2306090Z                 'code': None,
2022-11-23T01:30:20.2306298Z                 'obj_weakref': <weakref at 0x7ff59c060db0; to 'Tensor' at 0x7ff5a8446f20>
2022-11-23T01:30:20.2306531Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2306598Z             }
2022-11-23T01:30:20.2306661Z             
2022-11-23T01:30:20.2306734Z  - 
2022-11-23T01:30:20.2306856Z             local 'ex[9]' TENSOR_MATCH
2022-11-23T01:30:20.2306920Z             {
2022-11-23T01:30:20.2307061Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2307155Z                 'code': None,
2022-11-23T01:30:20.2307365Z                 'obj_weakref': <weakref at 0x7ff58ff89440; to 'Tensor' at 0x7ff58fe3f650>
2022-11-23T01:30:20.2307613Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2307677Z             }
2022-11-23T01:30:20.2307741Z             
2022-11-23T01:30:20.2307812Z  - 
2022-11-23T01:30:20.2307944Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2307995Z             {
2022-11-23T01:30:20.2308129Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2308301Z                 'code': ['___check_obj_id(model, 140693066978144)'],
2022-11-23T01:30:20.2308423Z                 'obj_weakref': None
2022-11-23T01:30:20.2308653Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2308719Z             }
2022-11-23T01:30:20.2308783Z             
2022-11-23T01:30:20.2308838Z  - 
2022-11-23T01:30:20.2308963Z             local 'ex[10]' TENSOR_MATCH
2022-11-23T01:30:20.2309027Z             {
2022-11-23T01:30:20.2309169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2309276Z                 'code': None,
2022-11-23T01:30:20.2309486Z                 'obj_weakref': <weakref at 0x7ff58ff8b7e0; to 'Tensor' at 0x7ff57efca3e0>
2022-11-23T01:30:20.2309734Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2309785Z             }
2022-11-23T01:30:20.2309850Z             
2022-11-23T01:30:20.2309921Z  - 
2022-11-23T01:30:20.2310048Z             local 'ex[11]' TENSOR_MATCH
2022-11-23T01:30:20.2310112Z             {
2022-11-23T01:30:20.2310282Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2310391Z                 'code': None,
2022-11-23T01:30:20.2310586Z                 'obj_weakref': <weakref at 0x7ff58ff89080; to 'Tensor' at 0x7ff57efc8cc0>
2022-11-23T01:30:20.2310833Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2310898Z             }
2022-11-23T01:30:20.2310965Z             
2022-11-23T01:30:20.2311036Z  - 
2022-11-23T01:30:20.2311161Z             local 'ex[12]' TENSOR_MATCH
2022-11-23T01:30:20.2311224Z             {
2022-11-23T01:30:20.2311353Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2311459Z                 'code': None,
2022-11-23T01:30:20.2311669Z                 'obj_weakref': <weakref at 0x7ff58ff8a5c0; to 'Tensor' at 0x7ff57efe71a0>
2022-11-23T01:30:20.2311946Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2312011Z             }
2022-11-23T01:30:20.2312077Z             
2022-11-23T01:30:20.2312147Z  - 
2022-11-23T01:30:20.2312258Z             local 'ex[13]' TENSOR_MATCH
2022-11-23T01:30:20.2312321Z             {
2022-11-23T01:30:20.2312464Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2312567Z                 'code': None,
2022-11-23T01:30:20.2312773Z                 'obj_weakref': <weakref at 0x7ff58ff887c0; to 'Tensor' at 0x7ff57efe7560>
2022-11-23T01:30:20.2313023Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2313087Z             }
2022-11-23T01:30:20.2313137Z             
2022-11-23T01:30:20.2313208Z  - 
2022-11-23T01:30:20.2313333Z             local 'ex[14]' TENSOR_MATCH
2022-11-23T01:30:20.2313397Z             {
2022-11-23T01:30:20.2313540Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2313646Z                 'code': None,
2022-11-23T01:30:20.2313942Z                 'obj_weakref': <weakref at 0x7ff58ff1e890; to 'Tensor' at 0x7ff57efe70b0>
2022-11-23T01:30:20.2314180Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2314243Z             }
2022-11-23T01:30:20.2314306Z             
2022-11-23T01:30:20.2314377Z  - 
2022-11-23T01:30:20.2314501Z             local 'ex[15]' TENSOR_MATCH
2022-11-23T01:30:20.2314563Z             {
2022-11-23T01:30:20.2314705Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2314797Z                 'code': None,
2022-11-23T01:30:20.2315004Z                 'obj_weakref': <weakref at 0x7ff58ff1cef0; to 'Tensor' at 0x7ff57efe6070>
2022-11-23T01:30:20.2315247Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2315313Z             }
2022-11-23T01:30:20.2315377Z             
2022-11-23T01:30:20.2315450Z  - 
2022-11-23T01:30:20.2315575Z             local 'ex[16]' TENSOR_MATCH
2022-11-23T01:30:20.2315627Z             {
2022-11-23T01:30:20.2315767Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2315875Z                 'code': None,
2022-11-23T01:30:20.2316083Z                 'obj_weakref': <weakref at 0x7ff58ff1f1f0; to 'Tensor' at 0x7ff57ee595d0>
2022-11-23T01:30:20.2316330Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2316392Z             }
2022-11-23T01:30:20.2316453Z             
2022-11-23T01:30:20.2316510Z  - 
2022-11-23T01:30:20.2316631Z             local 'ex[17]' TENSOR_MATCH
2022-11-23T01:30:20.2316692Z             {
2022-11-23T01:30:20.2316832Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2316937Z                 'code': None,
2022-11-23T01:30:20.2317144Z                 'obj_weakref': <weakref at 0x7ff58ff1f010; to 'Tensor' at 0x7ff57ee59940>
2022-11-23T01:30:20.2317430Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2317493Z             }
2022-11-23T01:30:20.2317542Z             
2022-11-23T01:30:20.2317610Z  - 
2022-11-23T01:30:20.2317732Z             local 'ex[18]' TENSOR_MATCH
2022-11-23T01:30:20.2317794Z             {
2022-11-23T01:30:20.2317933Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2318038Z                 'code': None,
2022-11-23T01:30:20.2318233Z                 'obj_weakref': <weakref at 0x7ff58ff1e930; to 'Tensor' at 0x7ff5a84e34c0>
2022-11-23T01:30:20.2318479Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2318541Z             }
2022-11-23T01:30:20.2318605Z             
2022-11-23T01:30:20.2318673Z  - 
2022-11-23T01:30:20.2318796Z             local 'ex[19]' TENSOR_MATCH
2022-11-23T01:30:20.2318888Z             {
2022-11-23T01:30:20.2319017Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2319122Z                 'code': None,
2022-11-23T01:30:20.2319330Z                 'obj_weakref': <weakref at 0x7ff58ff1c180; to 'Tensor' at 0x7ff5a84e0fe0>
2022-11-23T01:30:20.2319576Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2319638Z             }
2022-11-23T01:30:20.2319700Z             
2022-11-23T01:30:20.2319770Z  - 
2022-11-23T01:30:20.2319881Z             local 'ex[20]' TENSOR_MATCH
2022-11-23T01:30:20.2319943Z             {
2022-11-23T01:30:20.2320083Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2320187Z                 'code': None,
2022-11-23T01:30:20.2320394Z                 'obj_weakref': <weakref at 0x7ff58ff1ea70; to 'Tensor' at 0x7ff5a84e33d0>
2022-11-23T01:30:20.2320641Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2320705Z             }
2022-11-23T01:30:20.2320767Z             
2022-11-23T01:30:20.2320822Z  - 
2022-11-23T01:30:20.2320946Z             local 'ex[21]' TENSOR_MATCH
2022-11-23T01:30:20.2321008Z             {
2022-11-23T01:30:20.2321148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2321252Z                 'code': None,
2022-11-23T01:30:20.2321459Z                 'obj_weakref': <weakref at 0x7ff57efe6ac0; to 'Tensor' at 0x7ff5a84e2a20>
2022-11-23T01:30:20.2321707Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2321757Z             }
2022-11-23T01:30:20.2321817Z             
2022-11-23T01:30:20.2321886Z  - 
2022-11-23T01:30:20.2322011Z             local 'ex[22]' TENSOR_MATCH
2022-11-23T01:30:20.2322072Z             {
2022-11-23T01:30:20.2322211Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2322317Z                 'code': None,
2022-11-23T01:30:20.2322513Z                 'obj_weakref': <weakref at 0x7ff57edd5cb0; to 'Tensor' at 0x7ff5a84e3330>
2022-11-23T01:30:20.2322760Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2322823Z             }
2022-11-23T01:30:20.2322884Z             
2022-11-23T01:30:20.2322956Z  - 
2022-11-23T01:30:20.2323077Z             local 'ex[23]' TENSOR_MATCH
2022-11-23T01:30:20.2323139Z             {
2022-11-23T01:30:20.2323268Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2323370Z                 'code': None,
2022-11-23T01:30:20.2323577Z                 'obj_weakref': <weakref at 0x7ff5a84e02c0; to 'Tensor' at 0x7ff5a84e09f0>
2022-11-23T01:30:20.2323825Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2323887Z             }
2022-11-23T01:30:20.2323947Z             
2022-11-23T01:30:20.2324017Z  - 
2022-11-23T01:30:20.2324127Z             local 'ex[24]' TENSOR_MATCH
2022-11-23T01:30:20.2324189Z             {
2022-11-23T01:30:20.2324378Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2324485Z                 'code': None,
2022-11-23T01:30:20.2324691Z                 'obj_weakref': <weakref at 0x7ff5a84e05e0; to 'Tensor' at 0x7ff57efef240>
2022-11-23T01:30:20.2324934Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2324996Z             }
2022-11-23T01:30:20.2325045Z             
2022-11-23T01:30:20.2325113Z  - 
2022-11-23T01:30:20.2325236Z             local 'ex[25]' TENSOR_MATCH
2022-11-23T01:30:20.2325297Z             {
2022-11-23T01:30:20.2325438Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2325542Z                 'code': None,
2022-11-23T01:30:20.2325747Z                 'obj_weakref': <weakref at 0x7ff5a80a01d0; to 'Tensor' at 0x7ff57efee480>
2022-11-23T01:30:20.2326009Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2326072Z             }
2022-11-23T01:30:20.2326135Z             
2022-11-23T01:30:20.2326205Z  - 
2022-11-23T01:30:20.2326329Z             local 'ex[26]' TENSOR_MATCH
2022-11-23T01:30:20.2326391Z             {
2022-11-23T01:30:20.2326532Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2326624Z                 'code': None,
2022-11-23T01:30:20.2326834Z                 'obj_weakref': <weakref at 0x7ff5a80a1ad0; to 'Tensor' at 0x7ff57efec0e0>
2022-11-23T01:30:20.2327079Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2327141Z             }
2022-11-23T01:30:20.2327203Z             
2022-11-23T01:30:20.2327269Z  - 
2022-11-23T01:30:20.2327394Z             local 'ex[27]' TENSOR_MATCH
2022-11-23T01:30:20.2327444Z             {
2022-11-23T01:30:20.2327585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2327690Z                 'code': None,
2022-11-23T01:30:20.2327897Z                 'obj_weakref': <weakref at 0x7ff5a815bbf0; to 'Tensor' at 0x7ff57efed1c0>
2022-11-23T01:30:20.2328141Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2328202Z             }
2022-11-23T01:30:20.2328263Z             
2022-11-23T01:30:20.2328318Z  - 
2022-11-23T01:30:20.2328441Z             local 'ex[28]' TENSOR_MATCH
2022-11-23T01:30:20.2328502Z             {
2022-11-23T01:30:20.2328643Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2328747Z                 'code': None,
2022-11-23T01:30:20.2328957Z                 'obj_weakref': <weakref at 0x7ff5ad97a660; to 'Tensor' at 0x7ff57efed440>
2022-11-23T01:30:20.2329202Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2329254Z             }
2022-11-23T01:30:20.2329317Z             
2022-11-23T01:30:20.2329385Z  - 
2022-11-23T01:30:20.2329508Z             local 'ex[29]' TENSOR_MATCH
2022-11-23T01:30:20.2329573Z             {
2022-11-23T01:30:20.2329712Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2329817Z                 'code': None,
2022-11-23T01:30:20.2330010Z                 'obj_weakref': <weakref at 0x7ff57efee0c0; to 'Tensor' at 0x7ff57efec220>
2022-11-23T01:30:20.2330254Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2330316Z             }
2022-11-23T01:30:20.2330379Z             
2022-11-23T01:30:20.2330448Z  - 
2022-11-23T01:30:20.2330570Z             local 'ex[30]' TENSOR_MATCH
2022-11-23T01:30:20.2330632Z             {
2022-11-23T01:30:20.2330759Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2330862Z                 'code': None,
2022-11-23T01:30:20.2331070Z                 'obj_weakref': <weakref at 0x7ff57efed710; to 'Tensor' at 0x7ff57efede40>
2022-11-23T01:30:20.2331360Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2331424Z             }
2022-11-23T01:30:20.2331484Z             
2022-11-23T01:30:20.2331552Z  - 
2022-11-23T01:30:20.2331663Z             local 'ex[31]' TENSOR_MATCH
2022-11-23T01:30:20.2331724Z             {
2022-11-23T01:30:20.2331864Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2331968Z                 'code': None,
2022-11-23T01:30:20.2332176Z                 'obj_weakref': <weakref at 0x7ff57efef150; to 'Tensor' at 0x7ff57efef2e0>
2022-11-23T01:30:20.2332422Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2332484Z             }
2022-11-23T01:30:20.2332533Z             
2022-11-23T01:30:20.2332602Z  - 
2022-11-23T01:30:20.2332726Z             local 'ex[32]' TENSOR_MATCH
2022-11-23T01:30:20.2332816Z             {
2022-11-23T01:30:20.2332957Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2333062Z                 'code': None,
2022-11-23T01:30:20.2333274Z                 'obj_weakref': <weakref at 0x7ff57efecd10; to 'Tensor' at 0x7ff5a8480bd0>
2022-11-23T01:30:20.2333506Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2333568Z             }
2022-11-23T01:30:20.2333629Z             
2022-11-23T01:30:20.2333698Z  - 
2022-11-23T01:30:20.2333820Z             local 'ex[33]' TENSOR_MATCH
2022-11-23T01:30:20.2333881Z             {
2022-11-23T01:30:20.2334019Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2334112Z                 'code': None,
2022-11-23T01:30:20.2334319Z                 'obj_weakref': <weakref at 0x7ff57efedf30; to 'Tensor' at 0x7ff5a80f5b20>
2022-11-23T01:30:20.2334566Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2334631Z             }
2022-11-23T01:30:20.2334694Z             
2022-11-23T01:30:20.2334762Z  - 
2022-11-23T01:30:20.2334885Z             local 'ex[34]' TENSOR_MATCH
2022-11-23T01:30:20.2334935Z             {
2022-11-23T01:30:20.2335073Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2335179Z                 'code': None,
2022-11-23T01:30:20.2335384Z                 'obj_weakref': <weakref at 0x7ff57efeee30; to 'Tensor' at 0x7ff58ff1cf40>
2022-11-23T01:30:20.2335630Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2335692Z             }
2022-11-23T01:30:20.2335753Z             
2022-11-23T01:30:20.2335809Z  - 
2022-11-23T01:30:20.2335931Z             local 'ex[35]' TENSOR_MATCH
2022-11-23T01:30:20.2335993Z             {
2022-11-23T01:30:20.2336132Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2336239Z                 'code': None,
2022-11-23T01:30:20.2336558Z                 'obj_weakref': <weakref at 0x7ff5a842af20; to 'Tensor' at 0x7ff58ff1e3e0>
2022-11-23T01:30:20.2336812Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2336862Z             }
2022-11-23T01:30:20.2336924Z             
2022-11-23T01:30:20.2336993Z  - 
2022-11-23T01:30:20.2337117Z             local 'ex[36]' TENSOR_MATCH
2022-11-23T01:30:20.2337183Z             {
2022-11-23T01:30:20.2337324Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2337429Z                 'code': None,
2022-11-23T01:30:20.2337624Z                 'obj_weakref': <weakref at 0x7ff5a80f7330; to 'Tensor' at 0x7ff58ff1f7e0>
2022-11-23T01:30:20.2337869Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2337932Z             }
2022-11-23T01:30:20.2337995Z             
2022-11-23T01:30:20.2338065Z  - 
2022-11-23T01:30:20.2338188Z             local 'ex[37]' TENSOR_MATCH
2022-11-23T01:30:20.2338250Z             {
2022-11-23T01:30:20.2338424Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2338532Z                 'code': None,
2022-11-23T01:30:20.2338736Z                 'obj_weakref': <weakref at 0x7ff5a80f40e0; to 'Tensor' at 0x7ff58ff1f290>
2022-11-23T01:30:20.2338984Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2339047Z             }
2022-11-23T01:30:20.2339110Z             
2022-11-23T01:30:20.2339179Z  - 
2022-11-23T01:30:20.2339289Z             local 'ex[38]' TENSOR_MATCH
2022-11-23T01:30:20.2339351Z             {
2022-11-23T01:30:20.2339491Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2339597Z                 'code': None,
2022-11-23T01:30:20.2339804Z                 'obj_weakref': <weakref at 0x7ff5a80f66b0; to 'Tensor' at 0x7ff58ff1df30>
2022-11-23T01:30:20.2340087Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2340150Z             }
2022-11-23T01:30:20.2340212Z             
2022-11-23T01:30:20.2340268Z  - 
2022-11-23T01:30:20.2340390Z             local 'ex[39]' TENSOR_MATCH
2022-11-23T01:30:20.2340452Z             {
2022-11-23T01:30:20.2340590Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2340694Z                 'code': None,
2022-11-23T01:30:20.2340900Z                 'obj_weakref': <weakref at 0x7ff57eeada30; to 'Tensor' at 0x7ff58ff1dee0>
2022-11-23T01:30:20.2341143Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2341193Z             }
2022-11-23T01:30:20.2341254Z             
2022-11-23T01:30:20.2341321Z  - 
2022-11-23T01:30:20.2341442Z             local 'ex[40]' TENSOR_MATCH
2022-11-23T01:30:20.2341504Z             {
2022-11-23T01:30:20.2341647Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2341739Z                 'code': None,
2022-11-23T01:30:20.2341947Z                 'obj_weakref': <weakref at 0x7ff57ee5be70; to 'Tensor' at 0x7ff58ff1fe70>
2022-11-23T01:30:20.2342192Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2342255Z             }
2022-11-23T01:30:20.2342321Z             
2022-11-23T01:30:20.2342393Z  - 
2022-11-23T01:30:20.2342517Z             local 'ex[41]' TENSOR_MATCH
2022-11-23T01:30:20.2342569Z             {
2022-11-23T01:30:20.2342712Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2342818Z                 'code': None,
2022-11-23T01:30:20.2343026Z                 'obj_weakref': <weakref at 0x7ff57ee58f40; to 'Tensor' at 0x7ff58ff1d1c0>
2022-11-23T01:30:20.2343274Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2343342Z             }
2022-11-23T01:30:20.2343407Z             
2022-11-23T01:30:20.2343477Z  - 
2022-11-23T01:30:20.2343589Z             local 'ex[42]' TENSOR_MATCH
2022-11-23T01:30:20.2343654Z             {
2022-11-23T01:30:20.2343797Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2343938Z                 'code': None,
2022-11-23T01:30:20.2344238Z                 'obj_weakref': <weakref at 0x7ff57ed86f70; to 'Tensor' at 0x7ff58ff1f510>
2022-11-23T01:30:20.2344488Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2344552Z             }
2022-11-23T01:30:20.2344602Z             
2022-11-23T01:30:20.2344672Z  - 
2022-11-23T01:30:20.2344797Z             local 'ex[43]' TENSOR_MATCH
2022-11-23T01:30:20.2344861Z             {
2022-11-23T01:30:20.2345005Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2345111Z                 'code': None,
2022-11-23T01:30:20.2345318Z                 'obj_weakref': <weakref at 0x7ff57ed86930; to 'Tensor' at 0x7ff58ff1e750>
2022-11-23T01:30:20.2345591Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2345656Z             }
2022-11-23T01:30:20.2345719Z             
2022-11-23T01:30:20.2345789Z  - 
2022-11-23T01:30:20.2345913Z             local 'ex[44]' TENSOR_MATCH
2022-11-23T01:30:20.2345976Z             {
2022-11-23T01:30:20.2346120Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2346214Z                 'code': None,
2022-11-23T01:30:20.2346422Z                 'obj_weakref': <weakref at 0x7ff57ed86e80; to 'Tensor' at 0x7ff58ff1f150>
2022-11-23T01:30:20.2346667Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2346731Z             }
2022-11-23T01:30:20.2346796Z             
2022-11-23T01:30:20.2346867Z  - 
2022-11-23T01:30:20.2346991Z             local 'ex[45]' TENSOR_MATCH
2022-11-23T01:30:20.2347068Z             {
2022-11-23T01:30:20.2347211Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2347319Z                 'code': None,
2022-11-23T01:30:20.2347532Z                 'obj_weakref': <weakref at 0x7ff57ef7a430; to 'Tensor' at 0x7ff58ff1c040>
2022-11-23T01:30:20.2347780Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2347843Z             }
2022-11-23T01:30:20.2347906Z             
2022-11-23T01:30:20.2347962Z  - 
2022-11-23T01:30:20.2348086Z             local 'ex[46]' TENSOR_MATCH
2022-11-23T01:30:20.2348150Z             {
2022-11-23T01:30:20.2348292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2348401Z                 'code': None,
2022-11-23T01:30:20.2348610Z                 'obj_weakref': <weakref at 0x7ff57ef7a340; to 'Tensor' at 0x7ff58ff1f420>
2022-11-23T01:30:20.2348856Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2348908Z             }
2022-11-23T01:30:20.2348969Z             
2022-11-23T01:30:20.2349038Z  - 
2022-11-23T01:30:20.2349162Z             local 'ex[47]' TENSOR_MATCH
2022-11-23T01:30:20.2349226Z             {
2022-11-23T01:30:20.2349365Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2349473Z                 'code': None,
2022-11-23T01:30:20.2349668Z                 'obj_weakref': <weakref at 0x7ff57ef7af20; to 'Tensor' at 0x7ff58ff1cd60>
2022-11-23T01:30:20.2349915Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2349977Z             }
2022-11-23T01:30:20.2350039Z             
2022-11-23T01:30:20.2350108Z  - 
2022-11-23T01:30:20.2350231Z             local 'ex[48]' TENSOR_MATCH
2022-11-23T01:30:20.2350293Z             {
2022-11-23T01:30:20.2350421Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2350528Z                 'code': None,
2022-11-23T01:30:20.2350734Z                 'obj_weakref': <weakref at 0x7ff5a82317b0; to 'Tensor' at 0x7ff58ff1c810>
2022-11-23T01:30:20.2350979Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2351042Z             }
2022-11-23T01:30:20.2351103Z             
2022-11-23T01:30:20.2351170Z  - 
2022-11-23T01:30:20.2351279Z             local 'ex[49]' TENSOR_MATCH
2022-11-23T01:30:20.2351340Z             {
2022-11-23T01:30:20.2351479Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2351584Z                 'code': None,
2022-11-23T01:30:20.2351790Z                 'obj_weakref': <weakref at 0x7ff5a98c6e80; to 'Tensor' at 0x7ff58ff8a250>
2022-11-23T01:30:20.2352035Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2352097Z             }
2022-11-23T01:30:20.2352146Z             
2022-11-23T01:30:20.2352215Z  - 
2022-11-23T01:30:20.2352335Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2352398Z             {
2022-11-23T01:30:20.2352532Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2352780Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2352901Z                 'obj_weakref': None
2022-11-23T01:30:20.2353106Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2353169Z             }
2022-11-23T01:30:20.2353231Z             
2022-11-23T01:30:20.2353299Z  - 
2022-11-23T01:30:20.2353480Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:30:20.2353538Z             {
2022-11-23T01:30:20.2358478Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2358816Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819095424)', 'model.__closure__[0].cell_contents == 50'],
2022-11-23T01:30:20.2358999Z                 'obj_weakref': None
2022-11-23T01:30:20.2359228Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2359297Z             }
2022-11-23T01:30:20.2359363Z             
2022-11-23T01:30:20.2359434Z  - 
2022-11-23T01:30:20.2359568Z             global 'range' BUILTIN_MATCH
2022-11-23T01:30:20.2359632Z             {
2022-11-23T01:30:20.2359740Z                 'guard_types': None,
2022-11-23T01:30:20.2359847Z                 'code': None,
2022-11-23T01:30:20.2359965Z                 'obj_weakref': None
2022-11-23T01:30:20.2360088Z                 'guarded_class': None
2022-11-23T01:30:20.2360155Z             }
2022-11-23T01:30:20.2360218Z             
2022-11-23T01:30:20.2360287Z  - 
2022-11-23T01:30:20.2360406Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.2360469Z             {
2022-11-23T01:30:20.2360587Z                 'guard_types': None,
2022-11-23T01:30:20.2360695Z                 'code': None,
2022-11-23T01:30:20.2360813Z                 'obj_weakref': None
2022-11-23T01:30:20.2360934Z                 'guarded_class': None
2022-11-23T01:30:20.2360995Z             }
2022-11-23T01:30:20.2361047Z             
2022-11-23T01:30:20.2361313Z [2022-11-23 01:26:19,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 320
2022-11-23T01:30:20.2361320Z 
2022-11-23T01:30:20.2361413Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2361482Z import torch
2022-11-23T01:30:20.2361551Z import random
2022-11-23T01:30:20.2361664Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2361788Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2361793Z 
2022-11-23T01:30:20.2361858Z aten = torch.ops.aten
2022-11-23T01:30:20.2361992Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2362083Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2362088Z 
2022-11-23T01:30:20.2362092Z 
2022-11-23T01:30:20.2362228Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2362437Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2362555Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.2362661Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2362765Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.2362853Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.2362955Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:30:20.2363055Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:30:20.2363154Z                        const float* __restrict__ in_ptr5,
2022-11-23T01:30:20.2363253Z                        const float* __restrict__ in_ptr6,
2022-11-23T01:30:20.2363353Z                        const float* __restrict__ in_ptr7,
2022-11-23T01:30:20.2363453Z                        const float* __restrict__ in_ptr8,
2022-11-23T01:30:20.2363555Z                        const float* __restrict__ in_ptr9,
2022-11-23T01:30:20.2363648Z                        const float* __restrict__ in_ptr10,
2022-11-23T01:30:20.2363787Z                        const float* __restrict__ in_ptr11,
2022-11-23T01:30:20.2363890Z                        const float* __restrict__ in_ptr12,
2022-11-23T01:30:20.2363991Z                        const float* __restrict__ in_ptr13,
2022-11-23T01:30:20.2364091Z                        const float* __restrict__ in_ptr14,
2022-11-23T01:30:20.2364191Z                        const float* __restrict__ in_ptr15,
2022-11-23T01:30:20.2364291Z                        const float* __restrict__ in_ptr16,
2022-11-23T01:30:20.2364378Z                        const float* __restrict__ in_ptr17,
2022-11-23T01:30:20.2364478Z                        const float* __restrict__ in_ptr18,
2022-11-23T01:30:20.2364578Z                        const float* __restrict__ in_ptr19,
2022-11-23T01:30:20.2364707Z                        const float* __restrict__ in_ptr20,
2022-11-23T01:30:20.2364807Z                        const float* __restrict__ in_ptr21,
2022-11-23T01:30:20.2364908Z                        const float* __restrict__ in_ptr22,
2022-11-23T01:30:20.2365007Z                        const float* __restrict__ in_ptr23,
2022-11-23T01:30:20.2365104Z                        const float* __restrict__ in_ptr24,
2022-11-23T01:30:20.2365190Z                        const float* __restrict__ in_ptr25,
2022-11-23T01:30:20.2365288Z                        const float* __restrict__ in_ptr26,
2022-11-23T01:30:20.2365386Z                        const float* __restrict__ in_ptr27,
2022-11-23T01:30:20.2365484Z                        const float* __restrict__ in_ptr28,
2022-11-23T01:30:20.2365583Z                        const float* __restrict__ in_ptr29,
2022-11-23T01:30:20.2365681Z                        const float* __restrict__ in_ptr30,
2022-11-23T01:30:20.2365779Z                        const float* __restrict__ in_ptr31,
2022-11-23T01:30:20.2365867Z                        const float* __restrict__ in_ptr32,
2022-11-23T01:30:20.2365967Z                        const float* __restrict__ in_ptr33,
2022-11-23T01:30:20.2366067Z                        const float* __restrict__ in_ptr34,
2022-11-23T01:30:20.2366166Z                        const float* __restrict__ in_ptr35,
2022-11-23T01:30:20.2366264Z                        const float* __restrict__ in_ptr36,
2022-11-23T01:30:20.2366362Z                        const float* __restrict__ in_ptr37,
2022-11-23T01:30:20.2366460Z                        const float* __restrict__ in_ptr38,
2022-11-23T01:30:20.2366559Z                        const float* __restrict__ in_ptr39,
2022-11-23T01:30:20.2366645Z                        const float* __restrict__ in_ptr40,
2022-11-23T01:30:20.2366747Z                        const float* __restrict__ in_ptr41,
2022-11-23T01:30:20.2366845Z                        const float* __restrict__ in_ptr42,
2022-11-23T01:30:20.2366944Z                        const float* __restrict__ in_ptr43,
2022-11-23T01:30:20.2367044Z                        const float* __restrict__ in_ptr44,
2022-11-23T01:30:20.2367145Z                        const float* __restrict__ in_ptr45,
2022-11-23T01:30:20.2367243Z                        const float* __restrict__ in_ptr46,
2022-11-23T01:30:20.2367329Z                        const float* __restrict__ in_ptr47,
2022-11-23T01:30:20.2367427Z                        const float* __restrict__ in_ptr48,
2022-11-23T01:30:20.2367526Z                        const float* __restrict__ in_ptr49)
2022-11-23T01:30:20.2367588Z {
2022-11-23T01:30:20.2367674Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:30:20.2367771Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2367833Z     {
2022-11-23T01:30:20.2367896Z         #pragma omp for 
2022-11-23T01:30:20.2367978Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2368041Z         {
2022-11-23T01:30:20.2368190Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.2368325Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.2368451Z             auto tmp4 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:30:20.2368603Z             auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr3 + 8*i0);
2022-11-23T01:30:20.2368729Z             auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr4 + 8*i0);
2022-11-23T01:30:20.2368845Z             auto tmp10 = at::vec::Vectorized<float>::loadu(in_ptr5 + 8*i0);
2022-11-23T01:30:20.2368974Z             auto tmp12 = at::vec::Vectorized<float>::loadu(in_ptr6 + 8*i0);
2022-11-23T01:30:20.2369097Z             auto tmp14 = at::vec::Vectorized<float>::loadu(in_ptr7 + 8*i0);
2022-11-23T01:30:20.2369222Z             auto tmp16 = at::vec::Vectorized<float>::loadu(in_ptr8 + 8*i0);
2022-11-23T01:30:20.2369307Z             auto tmp1 = tmp0 + tmp0;
2022-11-23T01:30:20.2369393Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.2369474Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:20.2369583Z             auto tmp7 = tmp5 + tmp6;
2022-11-23T01:30:20.2369649Z             auto tmp9 = tmp7 + tmp8;
2022-11-23T01:30:20.2369735Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:30:20.2369823Z             auto tmp13 = tmp11 + tmp12;
2022-11-23T01:30:20.2369908Z             auto tmp15 = tmp13 + tmp14;
2022-11-23T01:30:20.2369991Z             auto tmp17 = tmp15 + tmp16;
2022-11-23T01:30:20.2370082Z             tmp17.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.2370145Z         }
2022-11-23T01:30:20.2370228Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2370310Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.2370373Z         {
2022-11-23T01:30:20.2370457Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2370539Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:20.2370618Z             auto tmp4 = in_ptr2[i0];
2022-11-23T01:30:20.2370699Z             auto tmp6 = in_ptr3[i0];
2022-11-23T01:30:20.2370765Z             auto tmp8 = in_ptr4[i0];
2022-11-23T01:30:20.2370851Z             auto tmp10 = in_ptr5[i0];
2022-11-23T01:30:20.2370933Z             auto tmp12 = in_ptr6[i0];
2022-11-23T01:30:20.2371014Z             auto tmp14 = in_ptr7[i0];
2022-11-23T01:30:20.2371096Z             auto tmp16 = in_ptr8[i0];
2022-11-23T01:30:20.2371177Z             auto tmp1 = tmp0 + tmp0;
2022-11-23T01:30:20.2371259Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.2371326Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:20.2371406Z             auto tmp7 = tmp5 + tmp6;
2022-11-23T01:30:20.2371486Z             auto tmp9 = tmp7 + tmp8;
2022-11-23T01:30:20.2371570Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:30:20.2371656Z             auto tmp13 = tmp11 + tmp12;
2022-11-23T01:30:20.2371740Z             auto tmp15 = tmp13 + tmp14;
2022-11-23T01:30:20.2371823Z             auto tmp17 = tmp15 + tmp16;
2022-11-23T01:30:20.2371889Z             out_ptr0[i0] = tmp17;
2022-11-23T01:30:20.2371951Z         }
2022-11-23T01:30:20.2372027Z         #pragma omp for 
2022-11-23T01:30:20.2372110Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2372171Z         {
2022-11-23T01:30:20.2372302Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T01:30:20.2372430Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr9 + 8*i0);
2022-11-23T01:30:20.2372541Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr10 + 8*i0);
2022-11-23T01:30:20.2372668Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr11 + 8*i0);
2022-11-23T01:30:20.2372789Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr12 + 8*i0);
2022-11-23T01:30:20.2372913Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr13 + 8*i0);
2022-11-23T01:30:20.2373044Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr14 + 8*i0);
2022-11-23T01:30:20.2373174Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr15 + 8*i0);
2022-11-23T01:30:20.2373300Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr16 + 8*i0);
2022-11-23T01:30:20.2373386Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2373469Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2373568Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2373650Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2373734Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2373820Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2373906Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2373988Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2374087Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2374136Z         }
2022-11-23T01:30:20.2374230Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2374312Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.2374374Z         {
2022-11-23T01:30:20.2374457Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:30:20.2374537Z             auto tmp1 = in_ptr9[i0];
2022-11-23T01:30:20.2374647Z             auto tmp3 = in_ptr10[i0];
2022-11-23T01:30:20.2374717Z             auto tmp5 = in_ptr11[i0];
2022-11-23T01:30:20.2374797Z             auto tmp7 = in_ptr12[i0];
2022-11-23T01:30:20.2374881Z             auto tmp9 = in_ptr13[i0];
2022-11-23T01:30:20.2374966Z             auto tmp11 = in_ptr14[i0];
2022-11-23T01:30:20.2375049Z             auto tmp13 = in_ptr15[i0];
2022-11-23T01:30:20.2375132Z             auto tmp15 = in_ptr16[i0];
2022-11-23T01:30:20.2375216Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2375285Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2375366Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2375446Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2375529Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2375613Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2375698Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2375782Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2375851Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:30:20.2375916Z         }
2022-11-23T01:30:20.2375993Z         #pragma omp for 
2022-11-23T01:30:20.2376073Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2376138Z         {
2022-11-23T01:30:20.2376275Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2376402Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr17 + 8*i0);
2022-11-23T01:30:20.2376690Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr18 + 8*i0);
2022-11-23T01:30:20.2376817Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr19 + 8*i0);
2022-11-23T01:30:20.2376942Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr20 + 8*i0);
2022-11-23T01:30:20.2377067Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr21 + 8*i0);
2022-11-23T01:30:20.2377198Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr22 + 8*i0);
2022-11-23T01:30:20.2377327Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr23 + 8*i0);
2022-11-23T01:30:20.2377459Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr24 + 8*i0);
2022-11-23T01:30:20.2377546Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2377630Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2377698Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2377779Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2377863Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2377949Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2378034Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2378118Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2378202Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2378267Z         }
2022-11-23T01:30:20.2378363Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2378447Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.2378508Z         {
2022-11-23T01:30:20.2378595Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:20.2378682Z             auto tmp1 = in_ptr17[i0];
2022-11-23T01:30:20.2378752Z             auto tmp3 = in_ptr18[i0];
2022-11-23T01:30:20.2378901Z             auto tmp5 = in_ptr19[i0];
2022-11-23T01:30:20.2378988Z             auto tmp7 = in_ptr20[i0];
2022-11-23T01:30:20.2379070Z             auto tmp9 = in_ptr21[i0];
2022-11-23T01:30:20.2379157Z             auto tmp11 = in_ptr22[i0];
2022-11-23T01:30:20.2379243Z             auto tmp13 = in_ptr23[i0];
2022-11-23T01:30:20.2379328Z             auto tmp15 = in_ptr24[i0];
2022-11-23T01:30:20.2379399Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2379483Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2379565Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2379649Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2379732Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2379818Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2379902Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2380009Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2380092Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:30:20.2380156Z         }
2022-11-23T01:30:20.2380233Z         #pragma omp for 
2022-11-23T01:30:20.2380314Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2380375Z         {
2022-11-23T01:30:20.2380509Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2380626Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr25 + 8*i0);
2022-11-23T01:30:20.2380757Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr26 + 8*i0);
2022-11-23T01:30:20.2380883Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr27 + 8*i0);
2022-11-23T01:30:20.2381009Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr28 + 8*i0);
2022-11-23T01:30:20.2381131Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr29 + 8*i0);
2022-11-23T01:30:20.2381260Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr30 + 8*i0);
2022-11-23T01:30:20.2381391Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr31 + 8*i0);
2022-11-23T01:30:20.2381519Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr32 + 8*i0);
2022-11-23T01:30:20.2381605Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2381674Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2381756Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2381836Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2381920Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2382005Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2382088Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2382171Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2382255Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2382318Z         }
2022-11-23T01:30:20.2382414Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2382495Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.2382558Z         {
2022-11-23T01:30:20.2382646Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:20.2382730Z             auto tmp1 = in_ptr25[i0];
2022-11-23T01:30:20.2382803Z             auto tmp3 = in_ptr26[i0];
2022-11-23T01:30:20.2382885Z             auto tmp5 = in_ptr27[i0];
2022-11-23T01:30:20.2382969Z             auto tmp7 = in_ptr28[i0];
2022-11-23T01:30:20.2383050Z             auto tmp9 = in_ptr29[i0];
2022-11-23T01:30:20.2383135Z             auto tmp11 = in_ptr30[i0];
2022-11-23T01:30:20.2383219Z             auto tmp13 = in_ptr31[i0];
2022-11-23T01:30:20.2383302Z             auto tmp15 = in_ptr32[i0];
2022-11-23T01:30:20.2383372Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2383453Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2383533Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2383612Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2383694Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2383781Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2383865Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2383935Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2384043Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:30:20.2384107Z         }
2022-11-23T01:30:20.2384183Z         #pragma omp for 
2022-11-23T01:30:20.2384266Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2384330Z         {
2022-11-23T01:30:20.2384465Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2384581Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr33 + 8*i0);
2022-11-23T01:30:20.2384708Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr34 + 8*i0);
2022-11-23T01:30:20.2384834Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr35 + 8*i0);
2022-11-23T01:30:20.2384958Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr36 + 8*i0);
2022-11-23T01:30:20.2385080Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr37 + 8*i0);
2022-11-23T01:30:20.2385239Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr38 + 8*i0);
2022-11-23T01:30:20.2385369Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr39 + 8*i0);
2022-11-23T01:30:20.2385495Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr40 + 8*i0);
2022-11-23T01:30:20.2385580Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2385648Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2385730Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2385810Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2385895Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2385978Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2386061Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2386143Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2386227Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2386292Z         }
2022-11-23T01:30:20.2386385Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2386466Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.2386527Z         {
2022-11-23T01:30:20.2386620Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:20.2386705Z             auto tmp1 = in_ptr33[i0];
2022-11-23T01:30:20.2386775Z             auto tmp3 = in_ptr34[i0];
2022-11-23T01:30:20.2386857Z             auto tmp5 = in_ptr35[i0];
2022-11-23T01:30:20.2386938Z             auto tmp7 = in_ptr36[i0];
2022-11-23T01:30:20.2387019Z             auto tmp9 = in_ptr37[i0];
2022-11-23T01:30:20.2387103Z             auto tmp11 = in_ptr38[i0];
2022-11-23T01:30:20.2387187Z             auto tmp13 = in_ptr39[i0];
2022-11-23T01:30:20.2387271Z             auto tmp15 = in_ptr40[i0];
2022-11-23T01:30:20.2387340Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2387423Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2387505Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2387587Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2387669Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2387753Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2387838Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2387909Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2387991Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:30:20.2388053Z         }
2022-11-23T01:30:20.2388129Z         #pragma omp for 
2022-11-23T01:30:20.2388210Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2388272Z         {
2022-11-23T01:30:20.2388404Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2388521Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr41 + 8*i0);
2022-11-23T01:30:20.2388649Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr42 + 8*i0);
2022-11-23T01:30:20.2388775Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr43 + 8*i0);
2022-11-23T01:30:20.2388903Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr44 + 8*i0);
2022-11-23T01:30:20.2389027Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr45 + 8*i0);
2022-11-23T01:30:20.2389183Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr46 + 8*i0);
2022-11-23T01:30:20.2389315Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr47 + 8*i0);
2022-11-23T01:30:20.2389443Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr48 + 8*i0);
2022-11-23T01:30:20.2389527Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2389597Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2389679Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2389760Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2389843Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2389928Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2390011Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2390095Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2390207Z             tmp16.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2390270Z         }
2022-11-23T01:30:20.2390364Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2390447Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.2390508Z         {
2022-11-23T01:30:20.2390596Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:20.2390668Z             auto tmp1 = in_ptr41[i0];
2022-11-23T01:30:20.2390751Z             auto tmp3 = in_ptr42[i0];
2022-11-23T01:30:20.2390833Z             auto tmp5 = in_ptr43[i0];
2022-11-23T01:30:20.2390913Z             auto tmp7 = in_ptr44[i0];
2022-11-23T01:30:20.2390994Z             auto tmp9 = in_ptr45[i0];
2022-11-23T01:30:20.2391079Z             auto tmp11 = in_ptr46[i0];
2022-11-23T01:30:20.2391164Z             auto tmp13 = in_ptr47[i0];
2022-11-23T01:30:20.2391234Z             auto tmp15 = in_ptr48[i0];
2022-11-23T01:30:20.2391317Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2391398Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2391483Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.2391564Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.2391649Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:30:20.2391733Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:30:20.2391805Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:30:20.2391890Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:30:20.2391971Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:30:20.2392034Z         }
2022-11-23T01:30:20.2392109Z         #pragma omp for 
2022-11-23T01:30:20.2392189Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2392251Z         {
2022-11-23T01:30:20.2392373Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2392503Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr49 + 8*i0);
2022-11-23T01:30:20.2392584Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2392679Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.2392744Z         }
2022-11-23T01:30:20.2392836Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2392919Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.2392970Z         {
2022-11-23T01:30:20.2393062Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:20.2393145Z             auto tmp1 = in_ptr49[i0];
2022-11-23T01:30:20.2393227Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2393311Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.2393373Z         }
2022-11-23T01:30:20.2393434Z     }
2022-11-23T01:30:20.2393482Z }
2022-11-23T01:30:20.2393580Z ''')
2022-11-23T01:30:20.2393587Z 
2022-11-23T01:30:20.2393591Z 
2022-11-23T01:30:20.2393681Z async_compile.wait(globals())
2022-11-23T01:30:20.2393756Z del async_compile
2022-11-23T01:30:20.2393761Z 
2022-11-23T01:30:20.2393904Z def call(args):
2022-11-23T01:30:20.2394275Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1 = args
2022-11-23T01:30:20.2394351Z     args.clear()
2022-11-23T01:30:20.2394556Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2394640Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:20.2394710Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:30:20.2394790Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:30:20.2394869Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:30:20.2394947Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:30:20.2395024Z     buf6 = buf5; del buf5  # reuse
2022-11-23T01:30:20.2396255Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg6_1.data_ptr()), c_void_p(arg7_1.data_ptr()), c_void_p(arg8_1.data_ptr()), c_void_p(arg9_1.data_ptr()), c_void_p(arg10_1.data_ptr()), c_void_p(arg11_1.data_ptr()), c_void_p(arg12_1.data_ptr()), c_void_p(arg13_1.data_ptr()), c_void_p(arg14_1.data_ptr()), c_void_p(arg15_1.data_ptr()), c_void_p(arg16_1.data_ptr()), c_void_p(arg17_1.data_ptr()), c_void_p(arg18_1.data_ptr()), c_void_p(arg19_1.data_ptr()), c_void_p(arg20_1.data_ptr()), c_void_p(arg21_1.data_ptr()), c_void_p(arg22_1.data_ptr()), c_void_p(arg23_1.data_ptr()), c_void_p(arg24_1.data_ptr()), c_void_p(arg25_1.data_ptr()), c_void_p(arg26_1.data_ptr()), c_void_p(arg27_1.data_ptr()), c_void_p(arg28_1.data_ptr()), c_void_p(arg29_1.data_ptr()), c_void_p(arg30_1.data_ptr()), c_void_p(arg31_1.data_ptr()), c_void_p(arg32_1.data_ptr()), c_void_p(arg33_1.data_ptr()), c_void_p(arg34_1.data_ptr()), c_void_p(arg35_1.data_ptr()), c_void_p(arg36_1.data_ptr()), c_void_p(arg37_1.data_ptr()), c_void_p(arg38_1.data_ptr()), c_void_p(arg39_1.data_ptr()), c_void_p(arg40_1.data_ptr()), c_void_p(arg41_1.data_ptr()), c_void_p(arg42_1.data_ptr()), c_void_p(arg43_1.data_ptr()), c_void_p(arg44_1.data_ptr()), c_void_p(arg45_1.data_ptr()), c_void_p(arg46_1.data_ptr()), c_void_p(arg47_1.data_ptr()), c_void_p(arg48_1.data_ptr()), c_void_p(arg49_1.data_ptr()))
2022-11-23T01:30:20.2396358Z     del arg0_1
2022-11-23T01:30:20.2396425Z     del arg10_1
2022-11-23T01:30:20.2396491Z     del arg11_1
2022-11-23T01:30:20.2396556Z     del arg12_1
2022-11-23T01:30:20.2396621Z     del arg13_1
2022-11-23T01:30:20.2396685Z     del arg14_1
2022-11-23T01:30:20.2396737Z     del arg15_1
2022-11-23T01:30:20.2396802Z     del arg16_1
2022-11-23T01:30:20.2396867Z     del arg17_1
2022-11-23T01:30:20.2396932Z     del arg18_1
2022-11-23T01:30:20.2396997Z     del arg19_1
2022-11-23T01:30:20.2397062Z     del arg1_1
2022-11-23T01:30:20.2397114Z     del arg20_1
2022-11-23T01:30:20.2397179Z     del arg21_1
2022-11-23T01:30:20.2397246Z     del arg22_1
2022-11-23T01:30:20.2397311Z     del arg23_1
2022-11-23T01:30:20.2397377Z     del arg24_1
2022-11-23T01:30:20.2397442Z     del arg25_1
2022-11-23T01:30:20.2397508Z     del arg26_1
2022-11-23T01:30:20.2397560Z     del arg27_1
2022-11-23T01:30:20.2397626Z     del arg28_1
2022-11-23T01:30:20.2397692Z     del arg29_1
2022-11-23T01:30:20.2397757Z     del arg2_1
2022-11-23T01:30:20.2397822Z     del arg30_1
2022-11-23T01:30:20.2397887Z     del arg31_1
2022-11-23T01:30:20.2397939Z     del arg32_1
2022-11-23T01:30:20.2398005Z     del arg33_1
2022-11-23T01:30:20.2398069Z     del arg34_1
2022-11-23T01:30:20.2398134Z     del arg35_1
2022-11-23T01:30:20.2398199Z     del arg36_1
2022-11-23T01:30:20.2398264Z     del arg37_1
2022-11-23T01:30:20.2398315Z     del arg38_1
2022-11-23T01:30:20.2398384Z     del arg39_1
2022-11-23T01:30:20.2398450Z     del arg3_1
2022-11-23T01:30:20.2398515Z     del arg40_1
2022-11-23T01:30:20.2398581Z     del arg41_1
2022-11-23T01:30:20.2398645Z     del arg42_1
2022-11-23T01:30:20.2398712Z     del arg43_1
2022-11-23T01:30:20.2398764Z     del arg44_1
2022-11-23T01:30:20.2398830Z     del arg45_1
2022-11-23T01:30:20.2398895Z     del arg46_1
2022-11-23T01:30:20.2398985Z     del arg47_1
2022-11-23T01:30:20.2399052Z     del arg48_1
2022-11-23T01:30:20.2399118Z     del arg49_1
2022-11-23T01:30:20.2399170Z     del arg4_1
2022-11-23T01:30:20.2399234Z     del arg5_1
2022-11-23T01:30:20.2399300Z     del arg6_1
2022-11-23T01:30:20.2399365Z     del arg7_1
2022-11-23T01:30:20.2399429Z     del arg8_1
2022-11-23T01:30:20.2399497Z     del arg9_1
2022-11-23T01:30:20.2399569Z     return (buf6, )
2022-11-23T01:30:20.2399575Z 
2022-11-23T01:30:20.2399579Z 
2022-11-23T01:30:20.2399642Z if __name__ == "__main__":
2022-11-23T01:30:20.2399759Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2399883Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2400086Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2400308Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2400497Z     arg2_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2400686Z     arg3_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2400875Z     arg4_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2401047Z     arg5_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2401231Z     arg6_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2401414Z     arg7_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2401597Z     arg8_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2401781Z     arg9_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2401973Z     arg10_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2402168Z     arg11_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2402359Z     arg12_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2402533Z     arg13_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2402717Z     arg14_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2402902Z     arg15_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2403086Z     arg16_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2403270Z     arg17_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2403455Z     arg18_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2403637Z     arg19_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2403819Z     arg20_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2403991Z     arg21_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2404179Z     arg22_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2404363Z     arg23_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2404546Z     arg24_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2404730Z     arg25_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2404913Z     arg26_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2405100Z     arg27_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2405283Z     arg28_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2405453Z     arg29_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2405640Z     arg30_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2405824Z     arg31_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2406036Z     arg32_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2406222Z     arg33_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2406406Z     arg34_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2406588Z     arg35_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2406773Z     arg36_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2406943Z     arg37_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2407126Z     arg38_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2407311Z     arg39_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2407521Z     arg40_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2407706Z     arg41_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2407891Z     arg42_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2408075Z     arg43_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2408260Z     arg44_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2408430Z     arg45_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2408612Z     arg46_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2408795Z     arg47_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2408977Z     arg48_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2409161Z     arg49_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2409529Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1]))
2022-11-23T01:30:20.2409908Z [2022-11-23 01:26:21,229] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ii/ciix54kax6gy6dahx2mkdgztpnlsheuujosrqeyjhavqe7ykxfo5.py
2022-11-23T01:30:20.2410177Z [2022-11-23 01:26:21,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 320
2022-11-23T01:30:20.2410183Z 
2022-11-23T01:30:20.2410264Z --> 7
2022-11-23T01:30:20.2410332Z ok (1.894s)
2022-11-23T01:30:20.2410638Z   test_no_op_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2410957Z [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2411174Z [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2411428Z [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2411702Z [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2412022Z [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2412368Z [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2412727Z [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2413103Z [2022-11-23 01:26:21,236] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e1790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166> 
2022-11-23T01:30:20.2413197Z  3167           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2413279Z                2 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.2413418Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.2413508Z                6 CALL_METHOD              1
2022-11-23T01:30:20.2413604Z                8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:20.2413693Z               10 LOAD_ATTR                2 (amax)
2022-11-23T01:30:20.2413782Z               12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2413901Z               14 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2413961Z               16 BINARY_ADD
2022-11-23T01:30:20.2414052Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2414143Z               20 LOAD_CONST               3 (True)
2022-11-23T01:30:20.2414296Z               22 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:30:20.2414388Z               24 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.2414476Z               26 BUILD_TUPLE              2
2022-11-23T01:30:20.2414552Z               28 RETURN_VALUE
2022-11-23T01:30:20.2414600Z  
2022-11-23T01:30:20.2414619Z 
2022-11-23T01:30:20.2414920Z [2022-11-23 01:26:21,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3167
2022-11-23T01:30:20.2415130Z [2022-11-23 01:26:21,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.2415371Z [2022-11-23 01:26:21,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.2415653Z [2022-11-23 01:26:21,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.2415967Z [2022-11-23 01:26:21,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.2416210Z [2022-11-23 01:26:21,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.2416736Z [2022-11-23 01:26:21,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2417086Z [2022-11-23 01:26:21,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2417462Z [2022-11-23 01:26:21,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2417887Z [2022-11-23 01:26:21,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2418269Z [2022-11-23 01:26:21,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2418672Z [2022-11-23 01:26:21,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2419145Z [2022-11-23 01:26:21,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.2419715Z [2022-11-23 01:26:21,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.2419988Z [2022-11-23 01:26:21,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2420232Z [2022-11-23 01:26:21,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2420613Z [2022-11-23 01:26:21,240] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e1790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3166>
2022-11-23T01:30:20.2420858Z [2022-11-23 01:26:21,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2421157Z [2022-11-23 01:26:21,240] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2421412Z [2022-11-23 01:26:21,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2421659Z [2022-11-23 01:26:21,246] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2421848Z [2022-11-23 01:26:21,247] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2421971Z  __compiled_fn_328 <eval_with_key>.2785 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2422061Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2422197Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:30:20.2422368Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.2422616Z call_function, amax, <built-in method amax of type object at 0x7ff5d7c59c60>, (add, 1), {'keepdim': True}
2022-11-23T01:30:20.2422723Z output, output, output, ((sum_1, amax),), {}
2022-11-23T01:30:20.2422729Z 
2022-11-23T01:30:20.2423056Z [2022-11-23 01:26:21,247] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2423151Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2423228Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2423316Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2423409Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2423494Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2423585Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2423662Z              12 RETURN_VALUE
2022-11-23T01:30:20.2423667Z 
2022-11-23T01:30:20.2423729Z  
2022-11-23T01:30:20.2424053Z [2022-11-23 01:26:21,247] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2424151Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_328)
2022-11-23T01:30:20.2424242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2424331Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2424408Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2424494Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2424596Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2424697Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2424773Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2424850Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2424952Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2425041Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2425115Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2425204Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.2425278Z              26 RETURN_VALUE
2022-11-23T01:30:20.2425284Z 
2022-11-23T01:30:20.2425345Z  
2022-11-23T01:30:20.2425554Z [2022-11-23 01:26:21,248] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2425627Z  - 
2022-11-23T01:30:20.2425747Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2425811Z             {
2022-11-23T01:30:20.2425952Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2426140Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2426259Z                 'obj_weakref': None
2022-11-23T01:30:20.2426472Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2426538Z             }
2022-11-23T01:30:20.2426603Z             
2022-11-23T01:30:20.2426671Z  - 
2022-11-23T01:30:20.2426793Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2426856Z             {
2022-11-23T01:30:20.2427016Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2427123Z                 'code': None,
2022-11-23T01:30:20.2427340Z                 'obj_weakref': <weakref at 0x7ff5a825bdd0; to 'Tensor' at 0x7ff5a86918f0>
2022-11-23T01:30:20.2427594Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2427660Z             }
2022-11-23T01:30:20.2427723Z             
2022-11-23T01:30:20.2427793Z  - 
2022-11-23T01:30:20.2427911Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2427973Z             {
2022-11-23T01:30:20.2428107Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2428274Z                 'code': ['___check_obj_id(model, 140693069052608)'],
2022-11-23T01:30:20.2428391Z                 'obj_weakref': None
2022-11-23T01:30:20.2428618Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2428682Z             }
2022-11-23T01:30:20.2428747Z             
2022-11-23T01:30:20.2428802Z  - 
2022-11-23T01:30:20.2428922Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2428985Z             {
2022-11-23T01:30:20.2429121Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2429335Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2429453Z                 'obj_weakref': None
2022-11-23T01:30:20.2429672Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2429721Z             }
2022-11-23T01:30:20.2429785Z             
2022-11-23T01:30:20.2429851Z  - 
2022-11-23T01:30:20.2429982Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.2430046Z             {
2022-11-23T01:30:20.2430165Z                 'guard_types': None,
2022-11-23T01:30:20.2430256Z                 'code': None,
2022-11-23T01:30:20.2430371Z                 'obj_weakref': None
2022-11-23T01:30:20.2430495Z                 'guarded_class': None
2022-11-23T01:30:20.2430557Z             }
2022-11-23T01:30:20.2430619Z             
2022-11-23T01:30:20.2430882Z [2022-11-23 01:26:21,253] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 321
2022-11-23T01:30:20.2431249Z [2022-11-23 01:26:22,697] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bj/cbjit6hvy77vh6jg2swsmd63pvhnwmlsidudx4iu7fvszj3o7ltq.py
2022-11-23T01:30:20.2431513Z [2022-11-23 01:26:22,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 321
2022-11-23T01:30:20.2431519Z 
2022-11-23T01:30:20.2431598Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2431667Z import torch
2022-11-23T01:30:20.2431736Z import random
2022-11-23T01:30:20.2431850Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2431970Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2431975Z 
2022-11-23T01:30:20.2432052Z aten = torch.ops.aten
2022-11-23T01:30:20.2432187Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2432265Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2432283Z 
2022-11-23T01:30:20.2432319Z 
2022-11-23T01:30:20.2432440Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2432646Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2432766Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2432866Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2432963Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.2433025Z {
2022-11-23T01:30:20.2433122Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2433171Z     {
2022-11-23T01:30:20.2433248Z         #pragma omp for 
2022-11-23T01:30:20.2433329Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.2433392Z         {
2022-11-23T01:30:20.2433533Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.2433695Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.2433780Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2433940Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.2434034Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.2434097Z         }
2022-11-23T01:30:20.2434191Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2434273Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:20.2434336Z         {
2022-11-23T01:30:20.2434419Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2434504Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.2434587Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2434668Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.2434746Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:20.2434809Z         }
2022-11-23T01:30:20.2434871Z     }
2022-11-23T01:30:20.2434931Z }
2022-11-23T01:30:20.2434998Z ''')
2022-11-23T01:30:20.2435006Z 
2022-11-23T01:30:20.2435010Z 
2022-11-23T01:30:20.2435100Z async_compile.wait(globals())
2022-11-23T01:30:20.2435172Z del async_compile
2022-11-23T01:30:20.2435177Z 
2022-11-23T01:30:20.2435249Z def call(args):
2022-11-23T01:30:20.2435318Z     arg0_1, = args
2022-11-23T01:30:20.2435389Z     args.clear()
2022-11-23T01:30:20.2435585Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2435773Z     buf1 = empty_strided((8, 1, 1), (1, 8, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2435935Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.2436004Z     del arg0_1
2022-11-23T01:30:20.2436084Z     return (buf0, buf1, )
2022-11-23T01:30:20.2436089Z 
2022-11-23T01:30:20.2436093Z 
2022-11-23T01:30:20.2436168Z if __name__ == "__main__":
2022-11-23T01:30:20.2436281Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2436403Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2436611Z     arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2436707Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2436724Z 
2022-11-23T01:30:20.2436778Z ok (1.466s)
2022-11-23T01:30:20.2437084Z   test_permute_cpu (__main__.CpuTests) ... [2022-11-23 01:26:22,702] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2437399Z [2022-11-23 01:26:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2437617Z [2022-11-23 01:26:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2437871Z [2022-11-23 01:26:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2438148Z [2022-11-23 01:26:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2438506Z [2022-11-23 01:26:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2438852Z [2022-11-23 01:26:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2439172Z [2022-11-23 01:26:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2439548Z [2022-11-23 01:26:22,703] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251> 
2022-11-23T01:30:20.2439632Z  1253           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2439731Z                2 LOAD_METHOD              1 (permute)
2022-11-23T01:30:20.2439822Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2439939Z                6 LOAD_CONST               1 (1)
2022-11-23T01:30:20.2440013Z                8 BINARY_ADD
2022-11-23T01:30:20.2440103Z               10 BUILD_LIST               0
2022-11-23T01:30:20.2440201Z               12 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T01:30:20.2440275Z               14 LIST_EXTEND              1
2022-11-23T01:30:20.2440361Z               16 CALL_METHOD              2
2022-11-23T01:30:20.2440449Z               18 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2440522Z               20 BINARY_ADD
2022-11-23T01:30:20.2440528Z 
2022-11-23T01:30:20.2440622Z 1254          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2440719Z               24 LOAD_METHOD              1 (permute)
2022-11-23T01:30:20.2440807Z               26 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2440880Z               28 BUILD_LIST               0
2022-11-23T01:30:20.2440979Z               30 LOAD_CONST               2 ((2, 1, 4, 0, 3))
2022-11-23T01:30:20.2441065Z               32 LIST_EXTEND              1
2022-11-23T01:30:20.2441150Z               34 CALL_METHOD              2
2022-11-23T01:30:20.2441238Z               36 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2441310Z               38 BINARY_ADD
2022-11-23T01:30:20.2441315Z 
2022-11-23T01:30:20.2441402Z 1252          40 BUILD_TUPLE              2
2022-11-23T01:30:20.2441478Z               42 RETURN_VALUE
2022-11-23T01:30:20.2441526Z  
2022-11-23T01:30:20.2441531Z 
2022-11-23T01:30:20.2441848Z [2022-11-23 01:26:22,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1253
2022-11-23T01:30:20.2442066Z [2022-11-23 01:26:22,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.2442438Z [2022-11-23 01:26:22,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2442768Z [2022-11-23 01:26:22,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2443121Z [2022-11-23 01:26:22,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2443515Z [2022-11-23 01:26:22,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2443868Z [2022-11-23 01:26:22,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2444256Z [2022-11-23 01:26:22,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2444710Z [2022-11-23 01:26:22,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.2445089Z [2022-11-23 01:26:22,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2445327Z [2022-11-23 01:26:22,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.2445592Z [2022-11-23 01:26:22,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2445903Z [2022-11-23 01:26:22,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1254
2022-11-23T01:30:20.2446179Z [2022-11-23 01:26:22,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.2446579Z [2022-11-23 01:26:22,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2446931Z [2022-11-23 01:26:22,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2447312Z [2022-11-23 01:26:22,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2447732Z [2022-11-23 01:26:22,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 1, 4, 0, 3) [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2448190Z [2022-11-23 01:26:22,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.2448604Z [2022-11-23 01:26:22,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2448868Z [2022-11-23 01:26:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2449176Z [2022-11-23 01:26:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2449485Z [2022-11-23 01:26:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1252
2022-11-23T01:30:20.2449753Z [2022-11-23 01:26:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2449984Z [2022-11-23 01:26:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2450359Z [2022-11-23 01:26:22,709] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1251>
2022-11-23T01:30:20.2450602Z [2022-11-23 01:26:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2450832Z [2022-11-23 01:26:22,709] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2451084Z [2022-11-23 01:26:22,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2451333Z [2022-11-23 01:26:22,716] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2451522Z [2022-11-23 01:26:22,716] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2451687Z  __compiled_fn_329 <eval_with_key>.2791 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2451779Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2451938Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.2452191Z call_function, permute, <built-in method permute of type object at 0x7ff5d7c59c60>, (add, [2, 1, 4, 0, 3]), {}
2022-11-23T01:30:20.2452371Z call_function, add_1, <built-in function add>, (permute, 2), {}
2022-11-23T01:30:20.2452625Z call_function, permute_1, <built-in method permute of type object at 0x7ff5d7c59c60>, (ex_0_, [2, 1, 4, 0, 3]), {}
2022-11-23T01:30:20.2452811Z call_function, add_2, <built-in function add>, (permute_1, 2), {}
2022-11-23T01:30:20.2452916Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:30:20.2452950Z 
2022-11-23T01:30:20.2453275Z [2022-11-23 01:26:22,716] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2453358Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2453449Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2453536Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2453627Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2453711Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2453797Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2453872Z              12 RETURN_VALUE
2022-11-23T01:30:20.2453877Z 
2022-11-23T01:30:20.2453925Z  
2022-11-23T01:30:20.2454244Z [2022-11-23 01:26:22,716] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2454351Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_329)
2022-11-23T01:30:20.2454443Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2454532Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2454609Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2454696Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2454797Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2454885Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2454972Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2455048Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2455146Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2455233Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2455306Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2455393Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.2455454Z              26 RETURN_VALUE
2022-11-23T01:30:20.2455458Z 
2022-11-23T01:30:20.2455521Z  
2022-11-23T01:30:20.2455706Z [2022-11-23 01:26:22,717] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2455778Z  - 
2022-11-23T01:30:20.2455898Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2455966Z             {
2022-11-23T01:30:20.2456108Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2456279Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2456399Z                 'obj_weakref': None
2022-11-23T01:30:20.2456746Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2456812Z             }
2022-11-23T01:30:20.2456876Z             
2022-11-23T01:30:20.2456947Z  - 
2022-11-23T01:30:20.2457070Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2457120Z             {
2022-11-23T01:30:20.2457264Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2457372Z                 'code': None,
2022-11-23T01:30:20.2457588Z                 'obj_weakref': <weakref at 0x7ff57efecae0; to 'Tensor' at 0x7ff58f91dbc0>
2022-11-23T01:30:20.2457899Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2457963Z             }
2022-11-23T01:30:20.2458027Z             
2022-11-23T01:30:20.2458084Z  - 
2022-11-23T01:30:20.2458217Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2458280Z             {
2022-11-23T01:30:20.2458416Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2458587Z                 'code': ['___check_obj_id(model, 140693066978864)'],
2022-11-23T01:30:20.2458705Z                 'obj_weakref': None
2022-11-23T01:30:20.2458936Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2458987Z             }
2022-11-23T01:30:20.2459050Z             
2022-11-23T01:30:20.2459120Z  - 
2022-11-23T01:30:20.2459241Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2459338Z             {
2022-11-23T01:30:20.2459476Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2459699Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2459805Z                 'obj_weakref': None
2022-11-23T01:30:20.2460025Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2460090Z             }
2022-11-23T01:30:20.2460152Z             
2022-11-23T01:30:20.2460222Z  - 
2022-11-23T01:30:20.2460356Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.2460421Z             {
2022-11-23T01:30:20.2460528Z                 'guard_types': None,
2022-11-23T01:30:20.2460634Z                 'code': None,
2022-11-23T01:30:20.2460752Z                 'obj_weakref': None
2022-11-23T01:30:20.2460876Z                 'guarded_class': None
2022-11-23T01:30:20.2460941Z             }
2022-11-23T01:30:20.2461006Z             
2022-11-23T01:30:20.2461269Z [2022-11-23 01:26:22,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 322
2022-11-23T01:30:20.2461629Z [2022-11-23 01:26:24,168] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rf/crficmeqayabzute35b6wdzj73mmlu2my44hcnh3zgifng5w6reg.py
2022-11-23T01:30:20.2461896Z [2022-11-23 01:26:24,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 322
2022-11-23T01:30:20.2461902Z 
2022-11-23T01:30:20.2461997Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2462066Z import torch
2022-11-23T01:30:20.2462137Z import random
2022-11-23T01:30:20.2462251Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2462371Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2462376Z 
2022-11-23T01:30:20.2462455Z aten = torch.ops.aten
2022-11-23T01:30:20.2462575Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2462667Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2462675Z 
2022-11-23T01:30:20.2462679Z 
2022-11-23T01:30:20.2462813Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2463021Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2463139Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2463238Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2463332Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.2463392Z {
2022-11-23T01:30:20.2463477Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2463536Z     {
2022-11-23T01:30:20.2463613Z         #pragma omp for 
2022-11-23T01:30:20.2463694Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.2463756Z         {
2022-11-23T01:30:20.2463894Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.2464025Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.2464100Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2464227Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.2464310Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2464430Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:30:20.2464521Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.2464607Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.2464673Z         }
2022-11-23T01:30:20.2464754Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2464838Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:20.2464901Z         {
2022-11-23T01:30:20.2464986Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2465084Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.2465166Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2465262Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:30:20.2465332Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.2465411Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:30:20.2465518Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.2465595Z             out_ptr1[i0] = tmp5;
2022-11-23T01:30:20.2465656Z         }
2022-11-23T01:30:20.2465719Z     }
2022-11-23T01:30:20.2465779Z }
2022-11-23T01:30:20.2465845Z ''')
2022-11-23T01:30:20.2465850Z 
2022-11-23T01:30:20.2465855Z 
2022-11-23T01:30:20.2465943Z async_compile.wait(globals())
2022-11-23T01:30:20.2466013Z del async_compile
2022-11-23T01:30:20.2466018Z 
2022-11-23T01:30:20.2466088Z def call(args):
2022-11-23T01:30:20.2466156Z     arg0_1, = args
2022-11-23T01:30:20.2466226Z     args.clear()
2022-11-23T01:30:20.2466443Z     buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2466656Z     buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2466807Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.2466875Z     del arg0_1
2022-11-23T01:30:20.2466951Z     return (buf0, buf1, )
2022-11-23T01:30:20.2466955Z 
2022-11-23T01:30:20.2466960Z 
2022-11-23T01:30:20.2467034Z if __name__ == "__main__":
2022-11-23T01:30:20.2467150Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2467272Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2467486Z     arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2467592Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2467597Z 
2022-11-23T01:30:20.2467651Z ok (1.472s)
2022-11-23T01:30:20.2467948Z   test_pow1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:24,174] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2468264Z [2022-11-23 01:26:24,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2468480Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2468737Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2469012Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2469330Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2469674Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2469998Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2470374Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f52c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510> 
2022-11-23T01:30:20.2470461Z  2511           0 LOAD_CLOSURE             0 (x)
2022-11-23T01:30:20.2470584Z                2 BUILD_TUPLE              1
2022-11-23T01:30:20.2470800Z                4 LOAD_CONST               1 (<code object <listcomp> at 0x7ff64d0f5210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>)
2022-11-23T01:30:20.2471035Z                6 LOAD_CONST               2 ('CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:30:20.2471135Z                8 MAKE_FUNCTION            8 (closure)
2022-11-23T01:30:20.2471226Z               10 LOAD_GLOBAL              0 (range)
2022-11-23T01:30:20.2471360Z               12 LOAD_CONST               3 (-8)
2022-11-23T01:30:20.2471448Z               14 LOAD_CONST               4 (9)
2022-11-23T01:30:20.2471527Z               16 CALL_FUNCTION            2
2022-11-23T01:30:20.2471625Z               18 GET_ITER
2022-11-23T01:30:20.2471714Z               20 CALL_FUNCTION            1
2022-11-23T01:30:20.2471788Z               22 RETURN_VALUE
2022-11-23T01:30:20.2471850Z  
2022-11-23T01:30:20.2471857Z 
2022-11-23T01:30:20.2472170Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2511
2022-11-23T01:30:20.2472383Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE x []
2022-11-23T01:30:20.2472623Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
2022-11-23T01:30:20.2473033Z [2022-11-23 01:26:24,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7ff64d0f5210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> [TupleVariable()]
2022-11-23T01:30:20.2473393Z [2022-11-23 01:26:24,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
2022-11-23T01:30:20.2473714Z [2022-11-23 01:26:24,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:30:20.2474055Z [2022-11-23 01:26:24,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [NestedUserFunctionVariable()]
2022-11-23T01:30:20.2474364Z [2022-11-23 01:26:24,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -8 [NestedUserFunctionVariable(), BuiltinVariable(range)]
2022-11-23T01:30:20.2474703Z [2022-11-23 01:26:24,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:30:20.2475088Z [2022-11-23 01:26:24,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2475385Z [2022-11-23 01:26:24,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), RangeVariable()]
2022-11-23T01:30:20.2475697Z [2022-11-23 01:26:24,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2476080Z [2022-11-23 01:26:24,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7ff64d0f5210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511> 
2022-11-23T01:30:20.2476170Z  2511           0 BUILD_LIST               0
2022-11-23T01:30:20.2476248Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:30:20.2476339Z          >>    4 FOR_ITER                 8 (to 22)
2022-11-23T01:30:20.2476428Z                6 STORE_FAST               1 (e)
2022-11-23T01:30:20.2476521Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2476614Z               10 LOAD_METHOD              1 (pow)
2022-11-23T01:30:20.2476707Z               12 LOAD_DEREF               0 (x)
2022-11-23T01:30:20.2476796Z               14 LOAD_FAST                1 (e)
2022-11-23T01:30:20.2476910Z               16 CALL_METHOD              2
2022-11-23T01:30:20.2477000Z               18 LIST_APPEND              2
2022-11-23T01:30:20.2477095Z               20 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:30:20.2477170Z          >>   22 RETURN_VALUE
2022-11-23T01:30:20.2477229Z  
2022-11-23T01:30:20.2477235Z 
2022-11-23T01:30:20.2477448Z [2022-11-23 01:26:24,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:30:20.2477680Z [2022-11-23 01:26:24,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:30:20.2477952Z [2022-11-23 01:26:24,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2478250Z [2022-11-23 01:26:24,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2478564Z [2022-11-23 01:26:24,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2478933Z [2022-11-23 01:26:24,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2479245Z [2022-11-23 01:26:24,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2479587Z [2022-11-23 01:26:24,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2479967Z [2022-11-23 01:26:24,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2480272Z [2022-11-23 01:26:24,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2480551Z [2022-11-23 01:26:24,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2480820Z [2022-11-23 01:26:24,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2481128Z [2022-11-23 01:26:24,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2481404Z [2022-11-23 01:26:24,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2481768Z [2022-11-23 01:26:24,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2482071Z [2022-11-23 01:26:24,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2482413Z [2022-11-23 01:26:24,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2482795Z [2022-11-23 01:26:24,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2483099Z [2022-11-23 01:26:24,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2483376Z [2022-11-23 01:26:24,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2483647Z [2022-11-23 01:26:24,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2483984Z [2022-11-23 01:26:24,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2484261Z [2022-11-23 01:26:24,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2484626Z [2022-11-23 01:26:24,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2484938Z [2022-11-23 01:26:24,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2485277Z [2022-11-23 01:26:24,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2485676Z [2022-11-23 01:26:24,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2485978Z [2022-11-23 01:26:24,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2486257Z [2022-11-23 01:26:24,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2486524Z [2022-11-23 01:26:24,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2486831Z [2022-11-23 01:26:24,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2487108Z [2022-11-23 01:26:24,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2487482Z [2022-11-23 01:26:24,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2487795Z [2022-11-23 01:26:24,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2488137Z [2022-11-23 01:26:24,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2488517Z [2022-11-23 01:26:24,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2488822Z [2022-11-23 01:26:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2489101Z [2022-11-23 01:26:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2489359Z [2022-11-23 01:26:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2489665Z [2022-11-23 01:26:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2489941Z [2022-11-23 01:26:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2490305Z [2022-11-23 01:26:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2490617Z [2022-11-23 01:26:24,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2490957Z [2022-11-23 01:26:24,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2491369Z [2022-11-23 01:26:24,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2491670Z [2022-11-23 01:26:24,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2491946Z [2022-11-23 01:26:24,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2492216Z [2022-11-23 01:26:24,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2492523Z [2022-11-23 01:26:24,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2492817Z [2022-11-23 01:26:24,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2493182Z [2022-11-23 01:26:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2493493Z [2022-11-23 01:26:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2493831Z [2022-11-23 01:26:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2494209Z [2022-11-23 01:26:24,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2494513Z [2022-11-23 01:26:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2494795Z [2022-11-23 01:26:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2495065Z [2022-11-23 01:26:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2495370Z [2022-11-23 01:26:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2495647Z [2022-11-23 01:26:24,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2496010Z [2022-11-23 01:26:24,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2496313Z [2022-11-23 01:26:24,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2496969Z [2022-11-23 01:26:24,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2497700Z [2022-11-23 01:26:24,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2498005Z [2022-11-23 01:26:24,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2498284Z [2022-11-23 01:26:24,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2498553Z [2022-11-23 01:26:24,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2498944Z [2022-11-23 01:26:24,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2499222Z [2022-11-23 01:26:24,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2499587Z [2022-11-23 01:26:24,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2499900Z [2022-11-23 01:26:24,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2500242Z [2022-11-23 01:26:24,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2500668Z [2022-11-23 01:26:24,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2500958Z [2022-11-23 01:26:24,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2501237Z [2022-11-23 01:26:24,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2501507Z [2022-11-23 01:26:24,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2501813Z [2022-11-23 01:26:24,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2502093Z [2022-11-23 01:26:24,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2502460Z [2022-11-23 01:26:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2502771Z [2022-11-23 01:26:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2503110Z [2022-11-23 01:26:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2503488Z [2022-11-23 01:26:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2503786Z [2022-11-23 01:26:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2504065Z [2022-11-23 01:26:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2504322Z [2022-11-23 01:26:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2504628Z [2022-11-23 01:26:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2504903Z [2022-11-23 01:26:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2505266Z [2022-11-23 01:26:24,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2505577Z [2022-11-23 01:26:24,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2505915Z [2022-11-23 01:26:24,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2506331Z [2022-11-23 01:26:24,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2506640Z [2022-11-23 01:26:24,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2506916Z [2022-11-23 01:26:24,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2507184Z [2022-11-23 01:26:24,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2507489Z [2022-11-23 01:26:24,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2507801Z [2022-11-23 01:26:24,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2508152Z [2022-11-23 01:26:24,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2508465Z [2022-11-23 01:26:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2508803Z [2022-11-23 01:26:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2509181Z [2022-11-23 01:26:24,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2509486Z [2022-11-23 01:26:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2509764Z [2022-11-23 01:26:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2510031Z [2022-11-23 01:26:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2510337Z [2022-11-23 01:26:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2510613Z [2022-11-23 01:26:24,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2510980Z [2022-11-23 01:26:24,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2511293Z [2022-11-23 01:26:24,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2511619Z [2022-11-23 01:26:24,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2511998Z [2022-11-23 01:26:24,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2512301Z [2022-11-23 01:26:24,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2512577Z [2022-11-23 01:26:24,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2512846Z [2022-11-23 01:26:24,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2513192Z [2022-11-23 01:26:24,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2513471Z [2022-11-23 01:26:24,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2513893Z [2022-11-23 01:26:24,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2514213Z [2022-11-23 01:26:24,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2514555Z [2022-11-23 01:26:24,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2514973Z [2022-11-23 01:26:24,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2515277Z [2022-11-23 01:26:24,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2515542Z [2022-11-23 01:26:24,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2515810Z [2022-11-23 01:26:24,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2516116Z [2022-11-23 01:26:24,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2516392Z [2022-11-23 01:26:24,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2516763Z [2022-11-23 01:26:24,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2517075Z [2022-11-23 01:26:24,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2517412Z [2022-11-23 01:26:24,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2517797Z [2022-11-23 01:26:24,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2518099Z [2022-11-23 01:26:24,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2518378Z [2022-11-23 01:26:24,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2518653Z [2022-11-23 01:26:24,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2518948Z [2022-11-23 01:26:24,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2519225Z [2022-11-23 01:26:24,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2519588Z [2022-11-23 01:26:24,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2519900Z [2022-11-23 01:26:24,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2520246Z [2022-11-23 01:26:24,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2520658Z [2022-11-23 01:26:24,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2520964Z [2022-11-23 01:26:24,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2521247Z [2022-11-23 01:26:24,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2521518Z [2022-11-23 01:26:24,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2521829Z [2022-11-23 01:26:24,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2522137Z [2022-11-23 01:26:24,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2522487Z [2022-11-23 01:26:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2522798Z [2022-11-23 01:26:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2523137Z [2022-11-23 01:26:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2523522Z [2022-11-23 01:26:24,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2523830Z [2022-11-23 01:26:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2524111Z [2022-11-23 01:26:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2524383Z [2022-11-23 01:26:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2524691Z [2022-11-23 01:26:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2524969Z [2022-11-23 01:26:24,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2525331Z [2022-11-23 01:26:24,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2525647Z [2022-11-23 01:26:24,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2525985Z [2022-11-23 01:26:24,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2526351Z [2022-11-23 01:26:24,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2526657Z [2022-11-23 01:26:24,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.2526936Z [2022-11-23 01:26:24,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2527206Z [2022-11-23 01:26:24,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.2527499Z [2022-11-23 01:26:24,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.2527891Z [2022-11-23 01:26:24,303] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7ff64d0f5210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2511>
2022-11-23T01:30:20.2528130Z [2022-11-23 01:26:24,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.2528511Z [2022-11-23 01:26:24,304] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f52c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2510>
2022-11-23T01:30:20.2528749Z [2022-11-23 01:26:24,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.2528982Z [2022-11-23 01:26:24,304] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2529262Z [2022-11-23 01:26:24,306] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2529499Z [2022-11-23 01:26:24,318] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2529687Z [2022-11-23 01:26:24,318] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2529823Z  __compiled_fn_330 <eval_with_key>.2797 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2529914Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2530069Z call_function, pow_1, aten.pow, (ex_0_, -8), {}
2022-11-23T01:30:20.2530223Z call_function, pow_2, aten.pow, (ex_0_, -7), {}
2022-11-23T01:30:20.2530373Z call_function, pow_3, aten.pow, (ex_0_, -6), {}
2022-11-23T01:30:20.2530509Z call_function, pow_4, aten.pow, (ex_0_, -5), {}
2022-11-23T01:30:20.2530657Z call_function, pow_5, aten.pow, (ex_0_, -4), {}
2022-11-23T01:30:20.2530806Z call_function, pow_6, aten.pow, (ex_0_, -3), {}
2022-11-23T01:30:20.2530955Z call_function, pow_7, aten.pow, (ex_0_, -2), {}
2022-11-23T01:30:20.2531104Z call_function, pow_8, aten.pow, (ex_0_, -1), {}
2022-11-23T01:30:20.2531213Z call_function, pow_9, aten.pow, (ex_0_, 0), {}
2022-11-23T01:30:20.2531316Z call_function, pow_10, aten.pow, (ex_0_, 1), {}
2022-11-23T01:30:20.2531404Z call_function, pow_11, aten.pow, (ex_0_, 2), {}
2022-11-23T01:30:20.2531506Z call_function, pow_12, aten.pow, (ex_0_, 3), {}
2022-11-23T01:30:20.2531606Z call_function, pow_13, aten.pow, (ex_0_, 4), {}
2022-11-23T01:30:20.2531707Z call_function, pow_14, aten.pow, (ex_0_, 5), {}
2022-11-23T01:30:20.2531807Z call_function, pow_15, aten.pow, (ex_0_, 6), {}
2022-11-23T01:30:20.2531909Z call_function, pow_16, aten.pow, (ex_0_, 7), {}
2022-11-23T01:30:20.2532009Z call_function, pow_17, aten.pow, (ex_0_, 8), {}
2022-11-23T01:30:20.2532202Z output, output, output, ((pow_1, pow_2, pow_3, pow_4, pow_5, pow_6, pow_7, pow_8, pow_9, pow_10, pow_11, pow_12, pow_13, pow_14, pow_15, pow_16, pow_17),), {}
2022-11-23T01:30:20.2532212Z 
2022-11-23T01:30:20.2532540Z [2022-11-23 01:26:24,318] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2532621Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2532707Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2532794Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2532888Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2532971Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2533058Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2533132Z              12 RETURN_VALUE
2022-11-23T01:30:20.2533138Z 
2022-11-23T01:30:20.2533186Z  
2022-11-23T01:30:20.2533505Z [2022-11-23 01:26:24,319] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2533614Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_330)
2022-11-23T01:30:20.2533701Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2533813Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2533890Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2533975Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2534076Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2534165Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2534252Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2534328Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2534427Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2534513Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2534587Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2534684Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2534785Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2534859Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.2534961Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2535047Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.2535122Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.2535220Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2535305Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.2535367Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.2535465Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2535551Z              44 LOAD_CONST               6 (5)
2022-11-23T01:30:20.2535625Z              46 BINARY_SUBSCR
2022-11-23T01:30:20.2535721Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2535807Z              50 LOAD_CONST               7 (6)
2022-11-23T01:30:20.2535880Z              52 BINARY_SUBSCR
2022-11-23T01:30:20.2535969Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2536054Z              56 LOAD_CONST               8 (7)
2022-11-23T01:30:20.2536129Z              58 BINARY_SUBSCR
2022-11-23T01:30:20.2536226Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2536311Z              62 LOAD_CONST               9 (8)
2022-11-23T01:30:20.2536384Z              64 BINARY_SUBSCR
2022-11-23T01:30:20.2536599Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2536673Z              68 LOAD_CONST              10 (9)
2022-11-23T01:30:20.2536747Z              70 BINARY_SUBSCR
2022-11-23T01:30:20.2536850Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2536939Z              74 LOAD_CONST              11 (10)
2022-11-23T01:30:20.2537013Z              76 BINARY_SUBSCR
2022-11-23T01:30:20.2537111Z              78 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2537200Z              80 LOAD_CONST              12 (11)
2022-11-23T01:30:20.2537262Z              82 BINARY_SUBSCR
2022-11-23T01:30:20.2537360Z              84 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2537449Z              86 LOAD_CONST              13 (12)
2022-11-23T01:30:20.2537525Z              88 BINARY_SUBSCR
2022-11-23T01:30:20.2537624Z              90 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2537711Z              92 LOAD_CONST              14 (13)
2022-11-23T01:30:20.2537785Z              94 BINARY_SUBSCR
2022-11-23T01:30:20.2537881Z              96 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2537956Z              98 LOAD_CONST              15 (14)
2022-11-23T01:30:20.2538029Z             100 BINARY_SUBSCR
2022-11-23T01:30:20.2538127Z             102 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2538213Z             104 LOAD_CONST              16 (15)
2022-11-23T01:30:20.2538289Z             106 BINARY_SUBSCR
2022-11-23T01:30:20.2538390Z             108 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2538477Z             110 LOAD_CONST              17 (16)
2022-11-23T01:30:20.2538538Z             112 BINARY_SUBSCR
2022-11-23T01:30:20.2538667Z             114 BUILD_LIST              17
2022-11-23T01:30:20.2538743Z             116 RETURN_VALUE
2022-11-23T01:30:20.2538749Z 
2022-11-23T01:30:20.2538809Z  
2022-11-23T01:30:20.2538999Z [2022-11-23 01:26:24,319] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2539067Z  - 
2022-11-23T01:30:20.2539187Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2539239Z             {
2022-11-23T01:30:20.2539380Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2539567Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2539686Z                 'obj_weakref': None
2022-11-23T01:30:20.2539911Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2540009Z             }
2022-11-23T01:30:20.2540071Z             
2022-11-23T01:30:20.2540127Z  - 
2022-11-23T01:30:20.2540250Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2540314Z             {
2022-11-23T01:30:20.2540455Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2540559Z                 'code': None,
2022-11-23T01:30:20.2540770Z                 'obj_weakref': <weakref at 0x7ff59c029d00; to 'Tensor' at 0x7ff5a8480630>
2022-11-23T01:30:20.2541023Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2541073Z             }
2022-11-23T01:30:20.2541133Z             
2022-11-23T01:30:20.2541201Z  - 
2022-11-23T01:30:20.2541330Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2541391Z             {
2022-11-23T01:30:20.2541525Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2541691Z                 'code': ['___check_obj_id(model, 140693063596160)'],
2022-11-23T01:30:20.2541798Z                 'obj_weakref': None
2022-11-23T01:30:20.2542027Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2542091Z             }
2022-11-23T01:30:20.2542154Z             
2022-11-23T01:30:20.2542223Z  - 
2022-11-23T01:30:20.2542342Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2542404Z             {
2022-11-23T01:30:20.2542527Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2542741Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2542857Z                 'obj_weakref': None
2022-11-23T01:30:20.2543077Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2543138Z             }
2022-11-23T01:30:20.2543198Z             
2022-11-23T01:30:20.2543264Z  - 
2022-11-23T01:30:20.2543381Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.2543444Z             {
2022-11-23T01:30:20.2543563Z                 'guard_types': None,
2022-11-23T01:30:20.2543668Z                 'code': None,
2022-11-23T01:30:20.2543784Z                 'obj_weakref': None
2022-11-23T01:30:20.2543903Z                 'guarded_class': None
2022-11-23T01:30:20.2543964Z             }
2022-11-23T01:30:20.2544014Z             
2022-11-23T01:30:20.2544080Z  - 
2022-11-23T01:30:20.2544208Z             global 'range' BUILTIN_MATCH
2022-11-23T01:30:20.2544270Z             {
2022-11-23T01:30:20.2544386Z                 'guard_types': None,
2022-11-23T01:30:20.2544489Z                 'code': None,
2022-11-23T01:30:20.2544592Z                 'obj_weakref': None
2022-11-23T01:30:20.2544710Z                 'guarded_class': None
2022-11-23T01:30:20.2544772Z             }
2022-11-23T01:30:20.2544834Z             
2022-11-23T01:30:20.2545097Z [2022-11-23 01:26:24,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 323
2022-11-23T01:30:20.2545468Z [2022-11-23 01:26:25,830] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f5/cf5eb3pcpwb2ifulv5idlurfcizzu3bcxlbi32rlyshegpa5ev7o.py
2022-11-23T01:30:20.2545759Z [2022-11-23 01:26:25,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 323
2022-11-23T01:30:20.2545765Z 
2022-11-23T01:30:20.2545858Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2545913Z import torch
2022-11-23T01:30:20.2545982Z import random
2022-11-23T01:30:20.2546095Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2546214Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2546219Z 
2022-11-23T01:30:20.2546296Z aten = torch.ops.aten
2022-11-23T01:30:20.2546427Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2546517Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2546522Z 
2022-11-23T01:30:20.2546526Z 
2022-11-23T01:30:20.2546659Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2546880Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2546998Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2547098Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2547193Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.2547285Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.2547375Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.2547465Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:20.2547543Z                        float* __restrict__ out_ptr5,
2022-11-23T01:30:20.2547632Z                        float* __restrict__ out_ptr6,
2022-11-23T01:30:20.2547721Z                        float* __restrict__ out_ptr7,
2022-11-23T01:30:20.2547811Z                        float* __restrict__ out_ptr8,
2022-11-23T01:30:20.2547901Z                        float* __restrict__ out_ptr9,
2022-11-23T01:30:20.2548003Z                        float* __restrict__ out_ptr10,
2022-11-23T01:30:20.2548099Z                        float* __restrict__ out_ptr11,
2022-11-23T01:30:20.2548194Z                        float* __restrict__ out_ptr12,
2022-11-23T01:30:20.2548276Z                        float* __restrict__ out_ptr13,
2022-11-23T01:30:20.2548369Z                        float* __restrict__ out_ptr14,
2022-11-23T01:30:20.2548461Z                        float* __restrict__ out_ptr15)
2022-11-23T01:30:20.2548522Z {
2022-11-23T01:30:20.2548619Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2548679Z     {
2022-11-23T01:30:20.2548755Z         #pragma omp for 
2022-11-23T01:30:20.2548824Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.2548885Z         {
2022-11-23T01:30:20.2549026Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.2549122Z             auto tmp1 = tmp0.reciprocal();
2022-11-23T01:30:20.2549205Z             auto tmp2 = tmp1 * tmp1;
2022-11-23T01:30:20.2549290Z             auto tmp3 = tmp2 * tmp2;
2022-11-23T01:30:20.2549369Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:30:20.2549436Z             auto tmp5 = tmp2 * tmp1;
2022-11-23T01:30:20.2549517Z             auto tmp6 = tmp5 * tmp5;
2022-11-23T01:30:20.2549598Z             auto tmp7 = tmp6 * tmp1;
2022-11-23T01:30:20.2549676Z             auto tmp8 = tmp3 * tmp1;
2022-11-23T01:30:20.2549808Z             auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.2549890Z             auto tmp10 = tmp0 * tmp0;
2022-11-23T01:30:20.2549973Z             auto tmp11 = tmp10 * tmp0;
2022-11-23T01:30:20.2550045Z             auto tmp12 = tmp10 * tmp10;
2022-11-23T01:30:20.2550127Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:30:20.2550209Z             auto tmp14 = tmp11 * tmp11;
2022-11-23T01:30:20.2550290Z             auto tmp15 = tmp14 * tmp0;
2022-11-23T01:30:20.2550371Z             auto tmp16 = tmp12 * tmp12;
2022-11-23T01:30:20.2550461Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.2550550Z             tmp7.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.2550624Z             tmp6.store(out_ptr2 + 8*i0);
2022-11-23T01:30:20.2550739Z             tmp8.store(out_ptr3 + 8*i0);
2022-11-23T01:30:20.2550826Z             tmp3.store(out_ptr4 + 8*i0);
2022-11-23T01:30:20.2550910Z             tmp5.store(out_ptr5 + 8*i0);
2022-11-23T01:30:20.2550994Z             tmp2.store(out_ptr6 + 8*i0);
2022-11-23T01:30:20.2551078Z             tmp1.store(out_ptr7 + 8*i0);
2022-11-23T01:30:20.2551165Z             tmp9.store(out_ptr8 + 8*i0);
2022-11-23T01:30:20.2551242Z             tmp10.store(out_ptr9 + 8*i0);
2022-11-23T01:30:20.2551334Z             tmp11.store(out_ptr10 + 8*i0);
2022-11-23T01:30:20.2551423Z             tmp12.store(out_ptr11 + 8*i0);
2022-11-23T01:30:20.2551512Z             tmp13.store(out_ptr12 + 8*i0);
2022-11-23T01:30:20.2551599Z             tmp14.store(out_ptr13 + 8*i0);
2022-11-23T01:30:20.2551684Z             tmp15.store(out_ptr14 + 8*i0);
2022-11-23T01:30:20.2551799Z             tmp16.store(out_ptr15 + 8*i0);
2022-11-23T01:30:20.2551849Z         }
2022-11-23T01:30:20.2551940Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2552024Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:20.2552086Z         {
2022-11-23T01:30:20.2552168Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2552246Z             auto tmp1 = 1 / tmp0;
2022-11-23T01:30:20.2552329Z             auto tmp2 = tmp1 * tmp1;
2022-11-23T01:30:20.2552398Z             auto tmp3 = tmp2 * tmp2;
2022-11-23T01:30:20.2552478Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:30:20.2552556Z             auto tmp5 = tmp2 * tmp1;
2022-11-23T01:30:20.2552635Z             auto tmp6 = tmp5 * tmp5;
2022-11-23T01:30:20.2552713Z             auto tmp7 = tmp6 * tmp1;
2022-11-23T01:30:20.2552791Z             auto tmp8 = tmp3 * tmp1;
2022-11-23T01:30:20.2552889Z             auto tmp9 = static_cast<float>(1);
2022-11-23T01:30:20.2552960Z             auto tmp10 = tmp0 * tmp0;
2022-11-23T01:30:20.2553045Z             auto tmp11 = tmp10 * tmp0;
2022-11-23T01:30:20.2553127Z             auto tmp12 = tmp10 * tmp10;
2022-11-23T01:30:20.2553209Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:30:20.2553293Z             auto tmp14 = tmp11 * tmp11;
2022-11-23T01:30:20.2553374Z             auto tmp15 = tmp14 * tmp0;
2022-11-23T01:30:20.2553456Z             auto tmp16 = tmp12 * tmp12;
2022-11-23T01:30:20.2553523Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.2553600Z             out_ptr1[i0] = tmp7;
2022-11-23T01:30:20.2553677Z             out_ptr2[i0] = tmp6;
2022-11-23T01:30:20.2553753Z             out_ptr3[i0] = tmp8;
2022-11-23T01:30:20.2553900Z             out_ptr4[i0] = tmp3;
2022-11-23T01:30:20.2553980Z             out_ptr5[i0] = tmp5;
2022-11-23T01:30:20.2554056Z             out_ptr6[i0] = tmp2;
2022-11-23T01:30:20.2554119Z             out_ptr7[i0] = tmp1;
2022-11-23T01:30:20.2554193Z             out_ptr8[i0] = tmp9;
2022-11-23T01:30:20.2554271Z             out_ptr9[i0] = tmp10;
2022-11-23T01:30:20.2554354Z             out_ptr10[i0] = tmp11;
2022-11-23T01:30:20.2554433Z             out_ptr11[i0] = tmp12;
2022-11-23T01:30:20.2554510Z             out_ptr12[i0] = tmp13;
2022-11-23T01:30:20.2554576Z             out_ptr13[i0] = tmp14;
2022-11-23T01:30:20.2554655Z             out_ptr14[i0] = tmp15;
2022-11-23T01:30:20.2554732Z             out_ptr15[i0] = tmp16;
2022-11-23T01:30:20.2554793Z         }
2022-11-23T01:30:20.2554859Z     }
2022-11-23T01:30:20.2554918Z }
2022-11-23T01:30:20.2555002Z ''')
2022-11-23T01:30:20.2555007Z 
2022-11-23T01:30:20.2555012Z 
2022-11-23T01:30:20.2555088Z async_compile.wait(globals())
2022-11-23T01:30:20.2555158Z del async_compile
2022-11-23T01:30:20.2555163Z 
2022-11-23T01:30:20.2555233Z def call(args):
2022-11-23T01:30:20.2555301Z     arg0_1, = args
2022-11-23T01:30:20.2555372Z     args.clear()
2022-11-23T01:30:20.2555575Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2555774Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2555972Z     buf2 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2556199Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2556395Z     buf4 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2556587Z     buf5 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2556778Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2556969Z     buf7 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2557160Z     buf8 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2557351Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2557547Z     buf10 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2557757Z     buf11 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2557954Z     buf12 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2558150Z     buf13 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2558341Z     buf14 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2558532Z     buf15 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2559027Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf13.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()))
2022-11-23T01:30:20.2559195Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, )
2022-11-23T01:30:20.2559203Z 
2022-11-23T01:30:20.2559207Z 
2022-11-23T01:30:20.2559286Z if __name__ == "__main__":
2022-11-23T01:30:20.2559403Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2559526Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2559708Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2559818Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2559822Z 
2022-11-23T01:30:20.2559890Z ok (1.663s)
2022-11-23T01:30:20.2560195Z   test_pow2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2560510Z [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2560731Z [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2560987Z [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2561266Z [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2561587Z [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2561932Z [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2562240Z [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2562648Z [2022-11-23 01:26:25,837] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f5420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519> 
2022-11-23T01:30:20.2562749Z  2520           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2562845Z                2 LOAD_METHOD              1 (pow)
2022-11-23T01:30:20.2562938Z                4 LOAD_CONST               1 (1000)
2022-11-23T01:30:20.2563027Z                6 LOAD_FAST                0 (x)
2022-11-23T01:30:20.2563118Z                8 CALL_METHOD              2
2022-11-23T01:30:20.2563211Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2563291Z               12 LOAD_METHOD              1 (pow)
2022-11-23T01:30:20.2563380Z               14 LOAD_FAST                0 (x)
2022-11-23T01:30:20.2563472Z               16 LOAD_CONST               1 (1000)
2022-11-23T01:30:20.2563561Z               18 CALL_METHOD              2
2022-11-23T01:30:20.2563677Z               20 BUILD_TUPLE              2
2022-11-23T01:30:20.2563757Z               22 RETURN_VALUE
2022-11-23T01:30:20.2563820Z  
2022-11-23T01:30:20.2563825Z 
2022-11-23T01:30:20.2564129Z [2022-11-23 01:26:25,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2520
2022-11-23T01:30:20.2564344Z [2022-11-23 01:26:25,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.2564649Z [2022-11-23 01:26:25,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2564904Z [2022-11-23 01:26:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TorchVariable(aten.pow)]
2022-11-23T01:30:20.2565190Z [2022-11-23 01:26:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.pow), ConstantVariable(int)]
2022-11-23T01:30:20.2565508Z [2022-11-23 01:26:25,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.pow), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.2565755Z [2022-11-23 01:26:25,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.2566082Z [2022-11-23 01:26:25,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2566357Z [2022-11-23 01:26:25,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:30:20.2566661Z [2022-11-23 01:26:25,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TensorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:30:20.2567007Z [2022-11-23 01:26:25,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2567260Z [2022-11-23 01:26:25,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2567505Z [2022-11-23 01:26:25,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2567879Z [2022-11-23 01:26:25,852] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f5420, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2519>
2022-11-23T01:30:20.2568129Z [2022-11-23 01:26:25,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2568360Z [2022-11-23 01:26:25,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2568611Z [2022-11-23 01:26:25,853] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2568856Z [2022-11-23 01:26:25,857] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2569045Z [2022-11-23 01:26:25,858] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2569178Z  __compiled_fn_331 <eval_with_key>.2803 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2569283Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2569390Z call_function, pow_1, aten.pow, (1000, ex_0_), {}
2022-11-23T01:30:20.2569496Z call_function, pow_2, aten.pow, (ex_0_, 1000), {}
2022-11-23T01:30:20.2569601Z output, output, output, ((pow_1, pow_2),), {}
2022-11-23T01:30:20.2569606Z 
2022-11-23T01:30:20.2569929Z [2022-11-23 01:26:25,858] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2570020Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2570109Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2570194Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2570273Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2570384Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2570471Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2570546Z              12 RETURN_VALUE
2022-11-23T01:30:20.2570553Z 
2022-11-23T01:30:20.2570616Z  
2022-11-23T01:30:20.2570934Z [2022-11-23 01:26:25,858] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2571040Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_331)
2022-11-23T01:30:20.2571129Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2571206Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2571280Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2571366Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2571468Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2571568Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2571658Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2571732Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2571820Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2571907Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2571982Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2572067Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.2572140Z              26 RETURN_VALUE
2022-11-23T01:30:20.2572145Z 
2022-11-23T01:30:20.2572205Z  
2022-11-23T01:30:20.2572385Z [2022-11-23 01:26:25,859] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2572441Z  - 
2022-11-23T01:30:20.2572561Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2572625Z             {
2022-11-23T01:30:20.2572764Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2572950Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2573068Z                 'obj_weakref': None
2022-11-23T01:30:20.2573292Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2573345Z             }
2022-11-23T01:30:20.2573407Z             
2022-11-23T01:30:20.2573477Z  - 
2022-11-23T01:30:20.2573599Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2573661Z             {
2022-11-23T01:30:20.2573801Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2573905Z                 'code': None,
2022-11-23T01:30:20.2574105Z                 'obj_weakref': <weakref at 0x7ff5a80a2480; to 'Tensor' at 0x7ff57ed86bb0>
2022-11-23T01:30:20.2574358Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2574419Z             }
2022-11-23T01:30:20.2574480Z             
2022-11-23T01:30:20.2574548Z  - 
2022-11-23T01:30:20.2574676Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2574737Z             {
2022-11-23T01:30:20.2574857Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2575026Z                 'code': ['___check_obj_id(model, 140693063594288)'],
2022-11-23T01:30:20.2575143Z                 'obj_weakref': None
2022-11-23T01:30:20.2575400Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2575463Z             }
2022-11-23T01:30:20.2575528Z             
2022-11-23T01:30:20.2575595Z  - 
2022-11-23T01:30:20.2575702Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2575764Z             {
2022-11-23T01:30:20.2575898Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2576115Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2576231Z                 'obj_weakref': None
2022-11-23T01:30:20.2576601Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2576663Z             }
2022-11-23T01:30:20.2576760Z             
2022-11-23T01:30:20.2576829Z  - 
2022-11-23T01:30:20.2576962Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.2577027Z             {
2022-11-23T01:30:20.2577148Z                 'guard_types': None,
2022-11-23T01:30:20.2577252Z                 'code': None,
2022-11-23T01:30:20.2577369Z                 'obj_weakref': None
2022-11-23T01:30:20.2577477Z                 'guarded_class': None
2022-11-23T01:30:20.2577540Z             }
2022-11-23T01:30:20.2577601Z             
2022-11-23T01:30:20.2577859Z [2022-11-23 01:26:25,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 324
2022-11-23T01:30:20.2578226Z [2022-11-23 01:26:27,297] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6p/c6p3r5prgjnylhu2itwr6j23k24oevemhgb2yn6liwh5phku55ah.py
2022-11-23T01:30:20.2578489Z [2022-11-23 01:26:27,297] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 324
2022-11-23T01:30:20.2578495Z 
2022-11-23T01:30:20.2578591Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2578660Z import torch
2022-11-23T01:30:20.2578716Z import random
2022-11-23T01:30:20.2578830Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2578954Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2578959Z 
2022-11-23T01:30:20.2579035Z aten = torch.ops.aten
2022-11-23T01:30:20.2579168Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2579257Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2579262Z 
2022-11-23T01:30:20.2579266Z 
2022-11-23T01:30:20.2579396Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2579601Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2579708Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2579805Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2579900Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.2579963Z {
2022-11-23T01:30:20.2580059Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2580119Z     {
2022-11-23T01:30:20.2580195Z         #pragma omp for 
2022-11-23T01:30:20.2580267Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.2580327Z         {
2022-11-23T01:30:20.2580466Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.2580601Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1000));
2022-11-23T01:30:20.2580689Z             auto tmp2 = tmp0.pow(tmp1);
2022-11-23T01:30:20.2580775Z             auto tmp3 = tmp1.pow(tmp0);
2022-11-23T01:30:20.2580864Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.2580941Z             tmp3.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.2581002Z         }
2022-11-23T01:30:20.2581094Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2581175Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:20.2581235Z         {
2022-11-23T01:30:20.2581319Z             auto tmp1 = in_ptr0[i0];
2022-11-23T01:30:20.2581418Z             auto tmp0 = static_cast<float>(1000);
2022-11-23T01:30:20.2581505Z             auto tmp2 = std::pow(tmp0, tmp1);
2022-11-23T01:30:20.2581636Z             auto tmp3 = std::pow(tmp1, tmp0);
2022-11-23T01:30:20.2581717Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.2581793Z             out_ptr1[i0] = tmp3;
2022-11-23T01:30:20.2581853Z         }
2022-11-23T01:30:20.2581913Z     }
2022-11-23T01:30:20.2581974Z }
2022-11-23T01:30:20.2582039Z ''')
2022-11-23T01:30:20.2582043Z 
2022-11-23T01:30:20.2582048Z 
2022-11-23T01:30:20.2582136Z async_compile.wait(globals())
2022-11-23T01:30:20.2582205Z del async_compile
2022-11-23T01:30:20.2582210Z 
2022-11-23T01:30:20.2582279Z def call(args):
2022-11-23T01:30:20.2582348Z     arg0_1, = args
2022-11-23T01:30:20.2582416Z     args.clear()
2022-11-23T01:30:20.2582620Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2582805Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2582998Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.2583068Z     del arg0_1
2022-11-23T01:30:20.2583143Z     return (buf0, buf1, )
2022-11-23T01:30:20.2583149Z 
2022-11-23T01:30:20.2583153Z 
2022-11-23T01:30:20.2583226Z if __name__ == "__main__":
2022-11-23T01:30:20.2583340Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2583460Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2583658Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2583752Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2583770Z 
2022-11-23T01:30:20.2583822Z ok (1.465s)
2022-11-23T01:30:20.2584119Z   test_pow3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:27,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:20.2584438Z [2022-11-23 01:26:27,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2535
2022-11-23T01:30:20.2584659Z [2022-11-23 01:26:27,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.2585024Z [2022-11-23 01:26:27,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2585350Z [2022-11-23 01:26:27,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.123 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2585715Z [2022-11-23 01:26:27,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(float)]
2022-11-23T01:30:20.2586155Z [2022-11-23 01:26:27,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(float), UserDefinedObjectVariable(CpuTests)]
2022-11-23T01:30:20.2586576Z [2022-11-23 01:26:27,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:30:20.2587023Z [2022-11-23 01:26:27,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:20.2587262Z [2022-11-23 01:26:27,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:30:20.2587560Z [2022-11-23 01:26:27,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2536
2022-11-23T01:30:20.2587766Z [2022-11-23 01:26:27,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:30:20.2588008Z [2022-11-23 01:26:27,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.2588463Z [2022-11-23 01:26:27,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2588710Z [2022-11-23 01:26:27,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T01:30:20.2589023Z [2022-11-23 01:26:27,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2537
2022-11-23T01:30:20.2589238Z [2022-11-23 01:26:27,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.2589601Z [2022-11-23 01:26:27,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2589949Z [2022-11-23 01:26:27,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method pow of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2590298Z [2022-11-23 01:26:27,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<built-in method pow of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2590671Z [2022-11-23 01:26:27,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method pow of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.2590917Z [2022-11-23 01:26:27,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2591151Z [2022-11-23 01:26:27,306] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:20.2591391Z [2022-11-23 01:26:27,307] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.2591630Z [2022-11-23 01:26:27,311] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.2591820Z [2022-11-23 01:26:27,311] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2591956Z  __compiled_fn_332 <eval_with_key>.2809 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2592038Z placeholder, x, x, (), {}
2022-11-23T01:30:20.2592289Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, (0.123,), {'device': 'cpu'}
2022-11-23T01:30:20.2592451Z call_function, add, <built-in function add>, (tensor, x), {}
2022-11-23T01:30:20.2592675Z call_function, pow_1, <built-in method pow of type object at 0x7ff5d7c59c60>, (add, 0.5), {}
2022-11-23T01:30:20.2592769Z output, output, output, ((pow_1,),), {}
2022-11-23T01:30:20.2592775Z 
2022-11-23T01:30:20.2593098Z [2022-11-23 01:26:27,311] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 
2022-11-23T01:30:20.2593193Z 2535           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2593287Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:20.2593376Z                4 LOAD_CONST               1 (0.123)
2022-11-23T01:30:20.2593466Z                6 LOAD_DEREF               0 (self)
2022-11-23T01:30:20.2593545Z                8 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.2593692Z               10 LOAD_CONST               2 (('device',))
2022-11-23T01:30:20.2593782Z               12 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.2593943Z               14 STORE_FAST               1 (z)
2022-11-23T01:30:20.2593948Z 
2022-11-23T01:30:20.2594038Z 2536          16 LOAD_FAST                1 (z)
2022-11-23T01:30:20.2594126Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.2594199Z               20 BINARY_ADD
2022-11-23T01:30:20.2594287Z               22 STORE_FAST               2 (w)
2022-11-23T01:30:20.2594292Z 
2022-11-23T01:30:20.2594371Z 2537          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2594467Z               26 LOAD_METHOD              3 (pow)
2022-11-23T01:30:20.2594553Z               28 LOAD_FAST                2 (w)
2022-11-23T01:30:20.2594676Z               30 LOAD_CONST               3 (0.5)
2022-11-23T01:30:20.2594765Z               32 CALL_METHOD              2
2022-11-23T01:30:20.2594840Z               34 RETURN_VALUE
2022-11-23T01:30:20.2594845Z 
2022-11-23T01:30:20.2594905Z  
2022-11-23T01:30:20.2595221Z [2022-11-23 01:26:27,311] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2534 
2022-11-23T01:30:20.2595329Z 2534           0 LOAD_GLOBAL              4 (__compiled_fn_332)
2022-11-23T01:30:20.2595416Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.2595504Z                4 CALL_FUNCTION            1
2022-11-23T01:30:20.2595593Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.2595666Z                8 RETURN_VALUE
2022-11-23T01:30:20.2595699Z 
2022-11-23T01:30:20.2595759Z  
2022-11-23T01:30:20.2595942Z [2022-11-23 01:26:27,312] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2595999Z  - 
2022-11-23T01:30:20.2596122Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:20.2596185Z             {
2022-11-23T01:30:20.2596326Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2596431Z                 'code': None,
2022-11-23T01:30:20.2596646Z                 'obj_weakref': <weakref at 0x7ff58ff3af20; to 'Tensor' at 0x7ff5a815a3e0>
2022-11-23T01:30:20.2596895Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2596948Z             }
2022-11-23T01:30:20.2597009Z             
2022-11-23T01:30:20.2597076Z  - 
2022-11-23T01:30:20.2597196Z             local 'self' TYPE_MATCH
2022-11-23T01:30:20.2597258Z             {
2022-11-23T01:30:20.2597396Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.2597563Z                 'code': ['___check_type_id(self, 94571926101280)'],
2022-11-23T01:30:20.2597767Z                 'obj_weakref': <weakref at 0x7ff5a86918f0; to 'CpuTests' at 0x7ff6383e83d0>
2022-11-23T01:30:20.2597998Z                 'guarded_class': <weakref at 0x7ff638d6e390; to 'type' at 0x56033e0f9d20 (CpuTests)>
2022-11-23T01:30:20.2598061Z             }
2022-11-23T01:30:20.2598123Z             
2022-11-23T01:30:20.2598190Z  - 
2022-11-23T01:30:20.2598332Z             local 'self.device' CONSTANT_MATCH
2022-11-23T01:30:20.2598394Z             {
2022-11-23T01:30:20.2598523Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2598738Z                 'code': ['___check_type_id(self.device, 94571819061440)', "self.device == 'cpu'"],
2022-11-23T01:30:20.2598855Z                 'obj_weakref': None
2022-11-23T01:30:20.2599072Z                 'guarded_class': <weakref at 0x7ff64e229080; to 'type' at 0x560337ae50c0 (str)>
2022-11-23T01:30:20.2599136Z             }
2022-11-23T01:30:20.2599197Z             
2022-11-23T01:30:20.2599267Z  - 
2022-11-23T01:30:20.2599386Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.2599447Z             {
2022-11-23T01:30:20.2599568Z                 'guard_types': None,
2022-11-23T01:30:20.2599672Z                 'code': None,
2022-11-23T01:30:20.2599786Z                 'obj_weakref': None
2022-11-23T01:30:20.2599904Z                 'guarded_class': None
2022-11-23T01:30:20.2599965Z             }
2022-11-23T01:30:20.2600015Z             
2022-11-23T01:30:20.2600269Z [2022-11-23 01:26:27,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 325
2022-11-23T01:30:20.2600635Z [2022-11-23 01:26:28,715] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7ix7rzjowagdhv6v7zk5pnur3ok6wjimgi5aqo6heppbscoqz6.py
2022-11-23T01:30:20.2600898Z [2022-11-23 01:26:28,715] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 325
2022-11-23T01:30:20.2600904Z 
2022-11-23T01:30:20.2601000Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2601071Z import torch
2022-11-23T01:30:20.2601142Z import random
2022-11-23T01:30:20.2601256Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2601400Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2601406Z 
2022-11-23T01:30:20.2601485Z aten = torch.ops.aten
2022-11-23T01:30:20.2601619Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2601712Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2601717Z 
2022-11-23T01:30:20.2601722Z 
2022-11-23T01:30:20.2601855Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2602060Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2602182Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2602283Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.2602331Z {
2022-11-23T01:30:20.2602393Z     {
2022-11-23T01:30:20.2602484Z         {
2022-11-23T01:30:20.2602569Z             auto tmp1 = in_ptr0[0];
2022-11-23T01:30:20.2602682Z             auto tmp0 = static_cast<float>(0.12300000339746475);
2022-11-23T01:30:20.2602769Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.2602867Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:30:20.2602932Z             out_ptr0[0] = tmp3;
2022-11-23T01:30:20.2603000Z         }
2022-11-23T01:30:20.2603060Z     }
2022-11-23T01:30:20.2603120Z }
2022-11-23T01:30:20.2603198Z ''')
2022-11-23T01:30:20.2603204Z 
2022-11-23T01:30:20.2603208Z 
2022-11-23T01:30:20.2603293Z async_compile.wait(globals())
2022-11-23T01:30:20.2603369Z del async_compile
2022-11-23T01:30:20.2603375Z 
2022-11-23T01:30:20.2603433Z def call(args):
2022-11-23T01:30:20.2603503Z     arg0_1, = args
2022-11-23T01:30:20.2603575Z     args.clear()
2022-11-23T01:30:20.2603760Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2603894Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.2603964Z     del arg0_1
2022-11-23T01:30:20.2604034Z     return (buf0, )
2022-11-23T01:30:20.2604039Z 
2022-11-23T01:30:20.2604043Z 
2022-11-23T01:30:20.2604108Z if __name__ == "__main__":
2022-11-23T01:30:20.2604222Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2604343Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2604531Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2604641Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2604645Z 
2022-11-23T01:30:20.2604713Z ok (1.418s)
2022-11-23T01:30:20.2605045Z   test_rand_like_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:26:28,719] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:20.2605363Z [2022-11-23 01:26:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3876
2022-11-23T01:30:20.2605584Z [2022-11-23 01:26:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.2605948Z [2022-11-23 01:26:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2606276Z [2022-11-23 01:26:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method rand_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2606638Z [2022-11-23 01:26:28,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rand_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2606885Z [2022-11-23 01:26:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.2607282Z [2022-11-23 01:26:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2607669Z [2022-11-23 01:26:28,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2608059Z [2022-11-23 01:26:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2608325Z [2022-11-23 01:26:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2608568Z [2022-11-23 01:26:28,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2608798Z [2022-11-23 01:26:28,722] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:20.2609037Z [2022-11-23 01:26:28,723] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.2609288Z [2022-11-23 01:26:28,728] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.2609480Z [2022-11-23 01:26:28,728] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2609614Z  __compiled_fn_333 <eval_with_key>.2815 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2609696Z placeholder, a, a, (), {}
2022-11-23T01:30:20.2609831Z call_function, rand_like_3, <function rand_like at 0x7ff5aab45750>, (a,), {}
2022-11-23T01:30:20.2609965Z call_function, rand_like_2, <function rand_like at 0x7ff5aab45750>, (a,), {}
2022-11-23T01:30:20.2610080Z output, output, output, ((rand_like_3, rand_like_2),), {}
2022-11-23T01:30:20.2610086Z 
2022-11-23T01:30:20.2610409Z [2022-11-23 01:26:28,729] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 
2022-11-23T01:30:20.2610492Z 3876           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2610592Z                2 LOAD_METHOD              1 (rand_like)
2022-11-23T01:30:20.2610679Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2610766Z                6 CALL_METHOD              1
2022-11-23T01:30:20.2610856Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2610951Z               10 LOAD_METHOD              1 (rand_like)
2022-11-23T01:30:20.2611040Z               12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2611125Z               14 CALL_METHOD              1
2022-11-23T01:30:20.2611198Z               16 BUILD_TUPLE              2
2022-11-23T01:30:20.2611271Z               18 RETURN_VALUE
2022-11-23T01:30:20.2611276Z 
2022-11-23T01:30:20.2611334Z  
2022-11-23T01:30:20.2611657Z [2022-11-23 01:26:28,729] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3874 
2022-11-23T01:30:20.2611765Z 3874           0 LOAD_GLOBAL              2 (__compiled_fn_333)
2022-11-23T01:30:20.2611853Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2611941Z                4 CALL_FUNCTION            1
2022-11-23T01:30:20.2612034Z                6 STORE_FAST               1 (___graph_out_0)
2022-11-23T01:30:20.2612133Z                8 LOAD_FAST                1 (___graph_out_0)
2022-11-23T01:30:20.2612220Z               10 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2612297Z               12 BINARY_SUBSCR
2022-11-23T01:30:20.2612394Z               14 LOAD_FAST                1 (___graph_out_0)
2022-11-23T01:30:20.2612479Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2612552Z               18 BINARY_SUBSCR
2022-11-23T01:30:20.2612638Z               20 BUILD_TUPLE              2
2022-11-23T01:30:20.2612700Z               22 RETURN_VALUE
2022-11-23T01:30:20.2612705Z 
2022-11-23T01:30:20.2612764Z  
2022-11-23T01:30:20.2612945Z [2022-11-23 01:26:28,729] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2613016Z  - 
2022-11-23T01:30:20.2613134Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:20.2613197Z             {
2022-11-23T01:30:20.2613337Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2613457Z                 'code': None,
2022-11-23T01:30:20.2613670Z                 'obj_weakref': <weakref at 0x7ff58ff38720; to 'Tensor' at 0x7ff59c138720>
2022-11-23T01:30:20.2613923Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2613987Z             }
2022-11-23T01:30:20.2614050Z             
2022-11-23T01:30:20.2614117Z  - 
2022-11-23T01:30:20.2614245Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.2614295Z             {
2022-11-23T01:30:20.2614413Z                 'guard_types': None,
2022-11-23T01:30:20.2614520Z                 'code': None,
2022-11-23T01:30:20.2614637Z                 'obj_weakref': None
2022-11-23T01:30:20.2614756Z                 'guarded_class': None
2022-11-23T01:30:20.2614850Z             }
2022-11-23T01:30:20.2614900Z             
2022-11-23T01:30:20.2615159Z [2022-11-23 01:26:28,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 326
2022-11-23T01:30:20.2615411Z [2022-11-23 01:26:28,736] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:30:20.2615770Z [2022-11-23 01:26:30,111] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c7/cc7vj3as7su3q6uixd6mpxppzxb6mxzfg7la2dc2ujsb33uitgmr.py
2022-11-23T01:30:20.2616029Z [2022-11-23 01:26:30,111] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 326
2022-11-23T01:30:20.2616034Z 
2022-11-23T01:30:20.2616127Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2616195Z import torch
2022-11-23T01:30:20.2616263Z import random
2022-11-23T01:30:20.2616375Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2616612Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2616619Z 
2022-11-23T01:30:20.2616695Z aten = torch.ops.aten
2022-11-23T01:30:20.2616827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2616920Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2617079Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:30:20.2617084Z 
2022-11-23T01:30:20.2617089Z 
2022-11-23T01:30:20.2617223Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2617428Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2617591Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:30:20.2617692Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2617785Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.2617846Z {
2022-11-23T01:30:20.2617941Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2618001Z     {
2022-11-23T01:30:20.2618098Z         #pragma omp for 
2022-11-23T01:30:20.2618231Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:20.2618312Z         {
2022-11-23T01:30:20.2618402Z             {
2022-11-23T01:30:20.2618495Z                 {
2022-11-23T01:30:20.2618586Z                     auto tmp0 = seed0[0];
2022-11-23T01:30:20.2618687Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:20.2618821Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:30:20.2618926Z                     auto tmp3 = static_cast<int>(1024 + i0);
2022-11-23T01:30:20.2619050Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp0, tmp3));;
2022-11-23T01:30:20.2619135Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.2619217Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.2619281Z                 }
2022-11-23T01:30:20.2619343Z             }
2022-11-23T01:30:20.2619403Z         }
2022-11-23T01:30:20.2619462Z     }
2022-11-23T01:30:20.2619513Z }
2022-11-23T01:30:20.2619594Z ''')
2022-11-23T01:30:20.2619599Z 
2022-11-23T01:30:20.2619603Z 
2022-11-23T01:30:20.2619694Z async_compile.wait(globals())
2022-11-23T01:30:20.2619765Z del async_compile
2022-11-23T01:30:20.2619834Z 
2022-11-23T01:30:20.2619905Z def call(args):
2022-11-23T01:30:20.2619973Z     arg0_1, = args
2022-11-23T01:30:20.2620044Z     args.clear()
2022-11-23T01:30:20.2620224Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:30:20.2620438Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2620631Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2620852Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.2620930Z     return (buf0, buf1, )
2022-11-23T01:30:20.2620935Z 
2022-11-23T01:30:20.2620939Z 
2022-11-23T01:30:20.2621014Z if __name__ == "__main__":
2022-11-23T01:30:20.2621198Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2621319Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2621502Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.2621694Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2621802Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2621806Z 
2022-11-23T01:30:20.2621873Z ok (1.397s)
2022-11-23T01:30:20.2622183Z   test_reduction1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:30,118] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2622501Z [2022-11-23 01:26:30,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2622719Z [2022-11-23 01:26:30,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2622971Z [2022-11-23 01:26:30,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2623251Z [2022-11-23 01:26:30,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2623559Z [2022-11-23 01:26:30,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2623907Z [2022-11-23 01:26:30,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2624227Z [2022-11-23 01:26:30,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2624599Z [2022-11-23 01:26:30,119] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d199a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771> 
2022-11-23T01:30:20.2624692Z  772           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2624785Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.2624875Z               4 CALL_METHOD              0
2022-11-23T01:30:20.2624962Z               6 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2625053Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:30:20.2625127Z              10 CALL_METHOD              0
2022-11-23T01:30:20.2625212Z              12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2625299Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:30:20.2625381Z              16 CALL_METHOD              0
2022-11-23T01:30:20.2625466Z              18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2625558Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:30:20.2625641Z              22 CALL_METHOD              0
2022-11-23T01:30:20.2625716Z              24 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2625806Z              26 LOAD_METHOD              4 (argmin)
2022-11-23T01:30:20.2625892Z              28 CALL_METHOD              0
2022-11-23T01:30:20.2625976Z              30 BUILD_TUPLE              5
2022-11-23T01:30:20.2626079Z              32 RETURN_VALUE
2022-11-23T01:30:20.2626140Z  
2022-11-23T01:30:20.2626145Z 
2022-11-23T01:30:20.2626458Z [2022-11-23 01:26:30,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:772
2022-11-23T01:30:20.2626665Z [2022-11-23 01:26:30,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.2626893Z [2022-11-23 01:26:30,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.2627173Z [2022-11-23 01:26:30,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.2627406Z [2022-11-23 01:26:30,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.2627696Z [2022-11-23 01:26:30,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2628003Z [2022-11-23 01:26:30,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:30:20.2628265Z [2022-11-23 01:26:30,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2628556Z [2022-11-23 01:26:30,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2628886Z [2022-11-23 01:26:30,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:30:20.2629172Z [2022-11-23 01:26:30,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2629497Z [2022-11-23 01:26:30,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2629850Z [2022-11-23 01:26:30,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:30:20.2630165Z [2022-11-23 01:26:30,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2630514Z [2022-11-23 01:26:30,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2630901Z [2022-11-23 01:26:30,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:30:20.2631252Z [2022-11-23 01:26:30,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2631497Z [2022-11-23 01:26:30,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2631872Z [2022-11-23 01:26:30,128] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d199a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 771>
2022-11-23T01:30:20.2632113Z [2022-11-23 01:26:30,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2632344Z [2022-11-23 01:26:30,128] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2632595Z [2022-11-23 01:26:30,130] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2632842Z [2022-11-23 01:26:30,135] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2633020Z [2022-11-23 01:26:30,135] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2633180Z  __compiled_fn_334 <eval_with_key>.2821 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2633270Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2633358Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:30:20.2633443Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:30:20.2633525Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:30:20.2633620Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:30:20.2633703Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:30:20.2633896Z output, output, output, ((sum_1, max_1, min_1, argmax, argmin),), {}
2022-11-23T01:30:20.2633902Z 
2022-11-23T01:30:20.2634231Z [2022-11-23 01:26:30,136] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2634356Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2634448Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2634536Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2634628Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2634714Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2634788Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2634862Z              12 RETURN_VALUE
2022-11-23T01:30:20.2634868Z 
2022-11-23T01:30:20.2634928Z  
2022-11-23T01:30:20.2635247Z [2022-11-23 01:26:30,136] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2635355Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_334)
2022-11-23T01:30:20.2635444Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2635533Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2635610Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2635684Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2635785Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2635886Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2635977Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2636051Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2636150Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2636235Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2636298Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2636394Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2636478Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2636551Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.2636649Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2636735Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.2636811Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.2636898Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2636985Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.2637059Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.2637147Z              42 BUILD_TUPLE              5
2022-11-23T01:30:20.2637220Z              44 RETURN_VALUE
2022-11-23T01:30:20.2637225Z 
2022-11-23T01:30:20.2637284Z  
2022-11-23T01:30:20.2637467Z [2022-11-23 01:26:30,137] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2637533Z  - 
2022-11-23T01:30:20.2637639Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2637702Z             {
2022-11-23T01:30:20.2637841Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2638027Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2638145Z                 'obj_weakref': None
2022-11-23T01:30:20.2638370Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2638435Z             }
2022-11-23T01:30:20.2638486Z             
2022-11-23T01:30:20.2638553Z  - 
2022-11-23T01:30:20.2638705Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2638769Z             {
2022-11-23T01:30:20.2638909Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2639015Z                 'code': None,
2022-11-23T01:30:20.2639229Z                 'obj_weakref': <weakref at 0x7ff58ffd12b0; to 'Tensor' at 0x7ff58fc8ee80>
2022-11-23T01:30:20.2639467Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2639531Z             }
2022-11-23T01:30:20.2639593Z             
2022-11-23T01:30:20.2639660Z  - 
2022-11-23T01:30:20.2639790Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2639851Z             {
2022-11-23T01:30:20.2639972Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2640168Z                 'code': ['___check_obj_id(model, 140693070182384)'],
2022-11-23T01:30:20.2640284Z                 'obj_weakref': None
2022-11-23T01:30:20.2640515Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2640577Z             }
2022-11-23T01:30:20.2640639Z             
2022-11-23T01:30:20.2640707Z  - 
2022-11-23T01:30:20.2640817Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2640879Z             {
2022-11-23T01:30:20.2641015Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2641233Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2641351Z                 'obj_weakref': None
2022-11-23T01:30:20.2641568Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2641629Z             }
2022-11-23T01:30:20.2641690Z             
2022-11-23T01:30:20.2641937Z [2022-11-23 01:26:30,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 327
2022-11-23T01:30:20.2642310Z [2022-11-23 01:26:31,533] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmjpa6ag4mlrfd32b3wdhcshyijw7e6hsnnbpfcodbiseaxyfouj.py
2022-11-23T01:30:20.2642575Z [2022-11-23 01:26:31,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 327
2022-11-23T01:30:20.2642581Z 
2022-11-23T01:30:20.2642675Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2642748Z import torch
2022-11-23T01:30:20.2642820Z import random
2022-11-23T01:30:20.2642935Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2643054Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2643059Z 
2022-11-23T01:30:20.2643124Z aten = torch.ops.aten
2022-11-23T01:30:20.2643256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2643347Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2643355Z 
2022-11-23T01:30:20.2643359Z 
2022-11-23T01:30:20.2643493Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2643705Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2643826Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2643927Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2644024Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.2644105Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.2644203Z                        long* __restrict__ out_ptr3,
2022-11-23T01:30:20.2644294Z                        long* __restrict__ out_ptr4)
2022-11-23T01:30:20.2644357Z {
2022-11-23T01:30:20.2644420Z     {
2022-11-23T01:30:20.2644484Z         {
2022-11-23T01:30:20.2644561Z             float tmp1 = 0;
2022-11-23T01:30:20.2644781Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.2644904Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.2645025Z             struct IndexValue_7 {size_t index; float value;};
2022-11-23T01:30:20.2645290Z             IndexValue_7 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:30:20.2645425Z             #pragma omp declare reduction(argmax : struct IndexValue_7 :\
2022-11-23T01:30:20.2645574Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:20.2645718Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:20.2645948Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:30:20.2646052Z             struct IndexValue_8 {size_t index; float value;};
2022-11-23T01:30:20.2646186Z             IndexValue_8 tmp5{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:30:20.2646320Z             #pragma omp declare reduction(argmin : struct IndexValue_8 :\
2022-11-23T01:30:20.2646497Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:20.2646645Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:20.2646786Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:30:20.2646870Z             for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:20.2646936Z             {
2022-11-23T01:30:20.2646987Z                 {
2022-11-23T01:30:20.2647082Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2647162Z                     tmp1 += tmp0;
2022-11-23T01:30:20.2647263Z                     tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:30:20.2647363Z                     tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:30:20.2647452Z                     if (tmp4.value < tmp0) {
2022-11-23T01:30:20.2647560Z                         tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:30:20.2647614Z                     }
2022-11-23T01:30:20.2647707Z                     if (tmp5.value > tmp0) {
2022-11-23T01:30:20.2647811Z                         tmp5.index = i0; tmp5.value = tmp0;
2022-11-23T01:30:20.2647879Z                     }
2022-11-23T01:30:20.2647947Z                 }
2022-11-23T01:30:20.2648011Z             }
2022-11-23T01:30:20.2648089Z             out_ptr0[0] = tmp1;
2022-11-23T01:30:20.2648153Z             out_ptr1[0] = tmp2;
2022-11-23T01:30:20.2648227Z             out_ptr2[0] = tmp3;
2022-11-23T01:30:20.2648313Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:30:20.2648393Z             out_ptr4[0] = tmp5.index;
2022-11-23T01:30:20.2648455Z         }
2022-11-23T01:30:20.2648514Z     }
2022-11-23T01:30:20.2648575Z }
2022-11-23T01:30:20.2648641Z ''')
2022-11-23T01:30:20.2648646Z 
2022-11-23T01:30:20.2648651Z 
2022-11-23T01:30:20.2648738Z async_compile.wait(globals())
2022-11-23T01:30:20.2648808Z del async_compile
2022-11-23T01:30:20.2648812Z 
2022-11-23T01:30:20.2648881Z def call(args):
2022-11-23T01:30:20.2648948Z     arg0_1, = args
2022-11-23T01:30:20.2649018Z     args.clear()
2022-11-23T01:30:20.2649206Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2649373Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2649548Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2649723Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.2649896Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.2650129Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:20.2650196Z     del arg0_1
2022-11-23T01:30:20.2650290Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:20.2650295Z 
2022-11-23T01:30:20.2650299Z 
2022-11-23T01:30:20.2650374Z if __name__ == "__main__":
2022-11-23T01:30:20.2650486Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2650598Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2650818Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2650926Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2650931Z 
2022-11-23T01:30:20.2650998Z ok (1.422s)
2022-11-23T01:30:20.2651308Z   test_reduction2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:31,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2651622Z [2022-11-23 01:26:31,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2651839Z [2022-11-23 01:26:31,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2652091Z [2022-11-23 01:26:31,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2652357Z [2022-11-23 01:26:31,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2652708Z [2022-11-23 01:26:31,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2653053Z [2022-11-23 01:26:31,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2653373Z [2022-11-23 01:26:31,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2653745Z [2022-11-23 01:26:31,539] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d199bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777> 
2022-11-23T01:30:20.2653841Z  779           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2653935Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.2654024Z               4 CALL_METHOD              0
2022-11-23T01:30:20.2654111Z               6 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2654191Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:30:20.2654275Z              10 CALL_METHOD              0
2022-11-23T01:30:20.2654361Z              12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2654451Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:30:20.2654535Z              16 CALL_METHOD              0
2022-11-23T01:30:20.2654618Z              18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2654709Z              20 LOAD_METHOD              3 (argmin)
2022-11-23T01:30:20.2654792Z              22 CALL_METHOD              0
2022-11-23T01:30:20.2654866Z              24 BUILD_TUPLE              4
2022-11-23T01:30:20.2654941Z              26 RETURN_VALUE
2022-11-23T01:30:20.2655002Z  
2022-11-23T01:30:20.2655006Z 
2022-11-23T01:30:20.2655319Z [2022-11-23 01:26:31,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:779
2022-11-23T01:30:20.2655531Z [2022-11-23 01:26:31,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.2655771Z [2022-11-23 01:26:31,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.2656050Z [2022-11-23 01:26:31,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.2656283Z [2022-11-23 01:26:31,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.2656650Z [2022-11-23 01:26:31,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2656956Z [2022-11-23 01:26:31,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:30:20.2657221Z [2022-11-23 01:26:31,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2657561Z [2022-11-23 01:26:31,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2657898Z [2022-11-23 01:26:31,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:30:20.2658189Z [2022-11-23 01:26:31,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2658517Z [2022-11-23 01:26:31,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2658880Z [2022-11-23 01:26:31,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:30:20.2659240Z [2022-11-23 01:26:31,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2659485Z [2022-11-23 01:26:31,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2659859Z [2022-11-23 01:26:31,543] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d199bb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 777>
2022-11-23T01:30:20.2660091Z [2022-11-23 01:26:31,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2660322Z [2022-11-23 01:26:31,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2660575Z [2022-11-23 01:26:31,544] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2660825Z [2022-11-23 01:26:31,547] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2661016Z [2022-11-23 01:26:31,548] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2661149Z  __compiled_fn_335 <eval_with_key>.2827 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2661236Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2661324Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:30:20.2661397Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:30:20.2661481Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:30:20.2661576Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:30:20.2661695Z output, output, output, ((sum_1, max_1, min_1, argmin),), {}
2022-11-23T01:30:20.2661701Z 
2022-11-23T01:30:20.2662029Z [2022-11-23 01:26:31,548] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2662122Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2662213Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2662298Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2662380Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2662463Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2662550Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2662625Z              12 RETURN_VALUE
2022-11-23T01:30:20.2662629Z 
2022-11-23T01:30:20.2662690Z  
2022-11-23T01:30:20.2663010Z [2022-11-23 01:26:31,548] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2663115Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_335)
2022-11-23T01:30:20.2663203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2663279Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2663355Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2663445Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2663548Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2663681Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2663770Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2663845Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2663933Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2664018Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2664092Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2664188Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2664273Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2664346Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.2664447Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2664521Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.2664595Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.2664715Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.2664788Z              38 RETURN_VALUE
2022-11-23T01:30:20.2664792Z 
2022-11-23T01:30:20.2664852Z  
2022-11-23T01:30:20.2665036Z [2022-11-23 01:26:31,549] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2665105Z  - 
2022-11-23T01:30:20.2665212Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2665275Z             {
2022-11-23T01:30:20.2665413Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2665598Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2665715Z                 'obj_weakref': None
2022-11-23T01:30:20.2665940Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2666003Z             }
2022-11-23T01:30:20.2666054Z             
2022-11-23T01:30:20.2666121Z  - 
2022-11-23T01:30:20.2666242Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2666306Z             {
2022-11-23T01:30:20.2666446Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2666555Z                 'code': None,
2022-11-23T01:30:20.2666767Z                 'obj_weakref': <weakref at 0x7ff58ff65da0; to 'Tensor' at 0x7ff59c0622a0>
2022-11-23T01:30:20.2667016Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2667067Z             }
2022-11-23T01:30:20.2667127Z             
2022-11-23T01:30:20.2667196Z  - 
2022-11-23T01:30:20.2667323Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2667385Z             {
2022-11-23T01:30:20.2667519Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2667674Z                 'code': ['___check_obj_id(model, 140692390558832)'],
2022-11-23T01:30:20.2667793Z                 'obj_weakref': None
2022-11-23T01:30:20.2668021Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2668087Z             }
2022-11-23T01:30:20.2668148Z             
2022-11-23T01:30:20.2668215Z  - 
2022-11-23T01:30:20.2668334Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2668386Z             {
2022-11-23T01:30:20.2668520Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2668734Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2668850Z                 'obj_weakref': None
2022-11-23T01:30:20.2669068Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2669131Z             }
2022-11-23T01:30:20.2669192Z             
2022-11-23T01:30:20.2669450Z [2022-11-23 01:26:31,554] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 328
2022-11-23T01:30:20.2669811Z [2022-11-23 01:26:32,947] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gf/cgfkb2vnmqdyfwm5jyqmj2ela6ayvbdnnxxtjyiwftpf2xxgyotu.py
2022-11-23T01:30:20.2670075Z [2022-11-23 01:26:32,947] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 328
2022-11-23T01:30:20.2670081Z 
2022-11-23T01:30:20.2670200Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2670268Z import torch
2022-11-23T01:30:20.2670336Z import random
2022-11-23T01:30:20.2670449Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2670567Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2670572Z 
2022-11-23T01:30:20.2670647Z aten = torch.ops.aten
2022-11-23T01:30:20.2670768Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2670858Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2670863Z 
2022-11-23T01:30:20.2670868Z 
2022-11-23T01:30:20.2670999Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2671203Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2671321Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2671448Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2671541Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.2671635Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.2671717Z                        long* __restrict__ out_ptr3)
2022-11-23T01:30:20.2671775Z {
2022-11-23T01:30:20.2671836Z     {
2022-11-23T01:30:20.2671898Z         {
2022-11-23T01:30:20.2671973Z             float tmp1 = 0;
2022-11-23T01:30:20.2672179Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.2672301Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.2672405Z             struct IndexValue_9 {size_t index; float value;};
2022-11-23T01:30:20.2672535Z             IndexValue_9 tmp4{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:30:20.2672671Z             #pragma omp declare reduction(argmin : struct IndexValue_9 :\
2022-11-23T01:30:20.2672816Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:20.2672962Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:20.2673100Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:30:20.2673204Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2673266Z             {
2022-11-23T01:30:20.2673427Z                 #pragma omp for reduction(+:tmp1) reduction(max:tmp2) reduction(min:tmp3) reduction(argmin:tmp4) 
2022-11-23T01:30:20.2673513Z                 for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.2673577Z                 {
2022-11-23T01:30:20.2673642Z                     {
2022-11-23T01:30:20.2673734Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2673883Z                         tmp1 += tmp0;
2022-11-23T01:30:20.2673987Z                         tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:30:20.2674074Z                         tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:30:20.2674166Z                         if (tmp4.value > tmp0) {
2022-11-23T01:30:20.2674277Z                             tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:30:20.2674347Z                         }
2022-11-23T01:30:20.2674416Z                     }
2022-11-23T01:30:20.2674479Z                 }
2022-11-23T01:30:20.2674541Z             }
2022-11-23T01:30:20.2674606Z             out_ptr0[0] = tmp1;
2022-11-23T01:30:20.2674682Z             out_ptr1[0] = tmp2;
2022-11-23T01:30:20.2674756Z             out_ptr2[0] = tmp3;
2022-11-23T01:30:20.2674840Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:30:20.2674905Z         }
2022-11-23T01:30:20.2674966Z     }
2022-11-23T01:30:20.2675025Z }
2022-11-23T01:30:20.2675094Z ''')
2022-11-23T01:30:20.2675099Z 
2022-11-23T01:30:20.2675104Z 
2022-11-23T01:30:20.2675192Z async_compile.wait(globals())
2022-11-23T01:30:20.2675263Z del async_compile
2022-11-23T01:30:20.2675270Z 
2022-11-23T01:30:20.2675338Z def call(args):
2022-11-23T01:30:20.2675405Z     arg0_1, = args
2022-11-23T01:30:20.2675473Z     args.clear()
2022-11-23T01:30:20.2675696Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2675863Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2676035Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2676211Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.2676421Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.2676487Z     del arg0_1
2022-11-23T01:30:20.2676572Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:30:20.2676577Z 
2022-11-23T01:30:20.2676581Z 
2022-11-23T01:30:20.2676655Z if __name__ == "__main__":
2022-11-23T01:30:20.2676767Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2676903Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2677095Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2677203Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2677208Z 
2022-11-23T01:30:20.2677277Z ok (1.414s)
2022-11-23T01:30:20.2677589Z   test_reduction3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:32,952] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2677904Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2678125Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2678377Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2678651Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2678960Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2679306Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2679626Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2679999Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d199d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784> 
2022-11-23T01:30:20.2680089Z  786           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2680183Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.2680271Z               4 CALL_METHOD              0
2022-11-23T01:30:20.2680357Z               6 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2680449Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:30:20.2680521Z              10 CALL_METHOD              0
2022-11-23T01:30:20.2680605Z              12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2680695Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:30:20.2680777Z              16 CALL_METHOD              0
2022-11-23T01:30:20.2680862Z              18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2680954Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:30:20.2681037Z              22 CALL_METHOD              0
2022-11-23T01:30:20.2681109Z              24 BUILD_TUPLE              4
2022-11-23T01:30:20.2681187Z              26 RETURN_VALUE
2022-11-23T01:30:20.2681249Z  
2022-11-23T01:30:20.2681254Z 
2022-11-23T01:30:20.2681571Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:786
2022-11-23T01:30:20.2681783Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.2682055Z [2022-11-23 01:26:32,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.2682337Z [2022-11-23 01:26:32,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.2682572Z [2022-11-23 01:26:32,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.2682842Z [2022-11-23 01:26:32,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2683133Z [2022-11-23 01:26:32,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:30:20.2683396Z [2022-11-23 01:26:32,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2683720Z [2022-11-23 01:26:32,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2684053Z [2022-11-23 01:26:32,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:30:20.2684342Z [2022-11-23 01:26:32,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2684667Z [2022-11-23 01:26:32,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2685034Z [2022-11-23 01:26:32,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:30:20.2685358Z [2022-11-23 01:26:32,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2685609Z [2022-11-23 01:26:32,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2685989Z [2022-11-23 01:26:32,958] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d199d10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 784>
2022-11-23T01:30:20.2686236Z [2022-11-23 01:26:32,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2686456Z [2022-11-23 01:26:32,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2686710Z [2022-11-23 01:26:32,959] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2686960Z [2022-11-23 01:26:32,962] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2687154Z [2022-11-23 01:26:32,962] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2687291Z  __compiled_fn_336 <eval_with_key>.2833 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2687382Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2687471Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:30:20.2687559Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:30:20.2687632Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:30:20.2687729Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:30:20.2687851Z output, output, output, ((sum_1, max_1, min_1, argmax),), {}
2022-11-23T01:30:20.2687857Z 
2022-11-23T01:30:20.2688184Z [2022-11-23 01:26:32,962] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2688279Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2688370Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2688457Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2688549Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2688659Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2688757Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2688865Z              12 RETURN_VALUE
2022-11-23T01:30:20.2688873Z 
2022-11-23T01:30:20.2688959Z  
2022-11-23T01:30:20.2689320Z [2022-11-23 01:26:32,962] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2689427Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_336)
2022-11-23T01:30:20.2689516Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2689606Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2689669Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2689757Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2689893Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2689995Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2690086Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2690163Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2690264Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2690338Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2690414Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2690512Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2690601Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2690678Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.2690774Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2690862Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.2690924Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.2691014Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.2691089Z              38 RETURN_VALUE
2022-11-23T01:30:20.2691094Z 
2022-11-23T01:30:20.2691157Z  
2022-11-23T01:30:20.2691337Z [2022-11-23 01:26:32,963] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2691405Z  - 
2022-11-23T01:30:20.2691524Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2691575Z             {
2022-11-23T01:30:20.2691716Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2691903Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2692020Z                 'obj_weakref': None
2022-11-23T01:30:20.2692246Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2692310Z             }
2022-11-23T01:30:20.2692371Z             
2022-11-23T01:30:20.2692427Z  - 
2022-11-23T01:30:20.2692549Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2692611Z             {
2022-11-23T01:30:20.2692754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2692857Z                 'code': None,
2022-11-23T01:30:20.2693071Z                 'obj_weakref': <weakref at 0x7ff58ff67100; to 'Tensor' at 0x7ff57ff33420>
2022-11-23T01:30:20.2693324Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2693373Z             }
2022-11-23T01:30:20.2693434Z             
2022-11-23T01:30:20.2693501Z  - 
2022-11-23T01:30:20.2693629Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2693691Z             {
2022-11-23T01:30:20.2693824Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2693992Z                 'code': ['___check_obj_id(model, 140692390554512)'],
2022-11-23T01:30:20.2694097Z                 'obj_weakref': None
2022-11-23T01:30:20.2694326Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2694387Z             }
2022-11-23T01:30:20.2694450Z             
2022-11-23T01:30:20.2694518Z  - 
2022-11-23T01:30:20.2694637Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2694699Z             {
2022-11-23T01:30:20.2694852Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2695069Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2695185Z                 'obj_weakref': None
2022-11-23T01:30:20.2695405Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2695467Z             }
2022-11-23T01:30:20.2695527Z             
2022-11-23T01:30:20.2695785Z [2022-11-23 01:26:32,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 329
2022-11-23T01:30:20.2696160Z [2022-11-23 01:26:34,351] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qz/cqzjqiw7xrlccdxkibjkbydawwicnxnrkuktk2va3xztzvjdknhl.py
2022-11-23T01:30:20.2696516Z [2022-11-23 01:26:34,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 329
2022-11-23T01:30:20.2696569Z 
2022-11-23T01:30:20.2696665Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2696734Z import torch
2022-11-23T01:30:20.2696804Z import random
2022-11-23T01:30:20.2696917Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2697036Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2697041Z 
2022-11-23T01:30:20.2697118Z aten = torch.ops.aten
2022-11-23T01:30:20.2697239Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2697329Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2697333Z 
2022-11-23T01:30:20.2697338Z 
2022-11-23T01:30:20.2697473Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2697677Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2697795Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2697898Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2697995Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.2698089Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.2698170Z                        long* __restrict__ out_ptr3)
2022-11-23T01:30:20.2698229Z {
2022-11-23T01:30:20.2698290Z     {
2022-11-23T01:30:20.2698352Z         {
2022-11-23T01:30:20.2698427Z             float tmp1 = 0;
2022-11-23T01:30:20.2698636Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.2698757Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.2698862Z             struct IndexValue_10 {size_t index; float value;};
2022-11-23T01:30:20.2699080Z             IndexValue_10 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:30:20.2699215Z             #pragma omp declare reduction(argmax : struct IndexValue_10 :\
2022-11-23T01:30:20.2699359Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:20.2699505Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:20.2699735Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:30:20.2699840Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2699901Z             {
2022-11-23T01:30:20.2700071Z                 #pragma omp for reduction(+:tmp1) reduction(max:tmp2) reduction(min:tmp3) reduction(argmax:tmp4) 
2022-11-23T01:30:20.2700147Z                 for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.2700210Z                 {
2022-11-23T01:30:20.2700275Z                     {
2022-11-23T01:30:20.2700369Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2700446Z                         tmp1 += tmp0;
2022-11-23T01:30:20.2700544Z                         tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:30:20.2700640Z                         tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:30:20.2700723Z                         if (tmp4.value < tmp0) {
2022-11-23T01:30:20.2700832Z                             tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:30:20.2700937Z                         }
2022-11-23T01:30:20.2701004Z                     }
2022-11-23T01:30:20.2701068Z                 }
2022-11-23T01:30:20.2701130Z             }
2022-11-23T01:30:20.2701207Z             out_ptr0[0] = tmp1;
2022-11-23T01:30:20.2701271Z             out_ptr1[0] = tmp2;
2022-11-23T01:30:20.2701344Z             out_ptr2[0] = tmp3;
2022-11-23T01:30:20.2701427Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:30:20.2701488Z         }
2022-11-23T01:30:20.2701549Z     }
2022-11-23T01:30:20.2701608Z }
2022-11-23T01:30:20.2701673Z ''')
2022-11-23T01:30:20.2701690Z 
2022-11-23T01:30:20.2701695Z 
2022-11-23T01:30:20.2701771Z async_compile.wait(globals())
2022-11-23T01:30:20.2701842Z del async_compile
2022-11-23T01:30:20.2701847Z 
2022-11-23T01:30:20.2701917Z def call(args):
2022-11-23T01:30:20.2702014Z     arg0_1, = args
2022-11-23T01:30:20.2702085Z     args.clear()
2022-11-23T01:30:20.2702271Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2702451Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2702612Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2702786Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.2702995Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.2703063Z     del arg0_1
2022-11-23T01:30:20.2703149Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:30:20.2703154Z 
2022-11-23T01:30:20.2703158Z 
2022-11-23T01:30:20.2703233Z if __name__ == "__main__":
2022-11-23T01:30:20.2703344Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2703463Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2703646Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2703752Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2703757Z 
2022-11-23T01:30:20.2703822Z ok (1.404s)
2022-11-23T01:30:20.2704055Z   test_reduction4_cpu (__main__.CpuTests) ... skip: Non-deterministic CPU results (0.001s)
2022-11-23T01:30:20.2704390Z   test_reflection_pad2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:26:34,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2704707Z [2022-11-23 01:26:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2704922Z [2022-11-23 01:26:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2705173Z [2022-11-23 01:26:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2705452Z [2022-11-23 01:26:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2705761Z [2022-11-23 01:26:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2706106Z [2022-11-23 01:26:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2706429Z [2022-11-23 01:26:34,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2706804Z [2022-11-23 01:26:34,359] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e07c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:30:20.2706898Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2707017Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:30:20.2707116Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:30:20.2707234Z                6 LOAD_FAST                1 (x)
2022-11-23T01:30:20.2707335Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:30:20.2707410Z               10 CALL_METHOD              3
2022-11-23T01:30:20.2707484Z               12 RETURN_VALUE
2022-11-23T01:30:20.2707545Z  
2022-11-23T01:30:20.2707550Z 
2022-11-23T01:30:20.2707861Z [2022-11-23 01:26:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:30:20.2708077Z [2022-11-23 01:26:34,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.2708416Z [2022-11-23 01:26:34,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2708748Z [2022-11-23 01:26:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:30:20.2709059Z [2022-11-23 01:26:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:30:20.2709409Z [2022-11-23 01:26:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2709780Z [2022-11-23 01:26:34,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2710015Z [2022-11-23 01:26:34,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2710395Z [2022-11-23 01:26:34,367] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e07c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:30:20.2710642Z [2022-11-23 01:26:34,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2710874Z [2022-11-23 01:26:34,367] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2711128Z [2022-11-23 01:26:34,369] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2711374Z [2022-11-23 01:26:34,371] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2711562Z [2022-11-23 01:26:34,371] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2711694Z  __compiled_fn_337 <eval_with_key>.2839 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2711782Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2711856Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.2712028Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [0, 0, 0, 0]), {}
2022-11-23T01:30:20.2712153Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:30:20.2712159Z 
2022-11-23T01:30:20.2712479Z [2022-11-23 01:26:34,372] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2712571Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2712659Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2712745Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2712836Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2712908Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2712997Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2713071Z              12 RETURN_VALUE
2022-11-23T01:30:20.2713077Z 
2022-11-23T01:30:20.2713137Z  
2022-11-23T01:30:20.2713459Z [2022-11-23 01:26:34,372] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2713593Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_337)
2022-11-23T01:30:20.2713685Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2713771Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2713907Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2713996Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2714083Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2714157Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.2714247Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.2714350Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2714478Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.2714562Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.2714679Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.2714774Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.2714877Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2714965Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2715039Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.2715131Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2715216Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.2715304Z              36 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2715377Z              38 BINARY_SUBSCR
2022-11-23T01:30:20.2715476Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.2715565Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2715659Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.2715747Z              46 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2715811Z              48 BINARY_SUBSCR
2022-11-23T01:30:20.2715909Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.2715984Z              52 RETURN_VALUE
2022-11-23T01:30:20.2715989Z 
2022-11-23T01:30:20.2716048Z  
2022-11-23T01:30:20.2716235Z [2022-11-23 01:26:34,373] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2716302Z  - 
2022-11-23T01:30:20.2716418Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2716481Z             {
2022-11-23T01:30:20.2716610Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2716793Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.2716910Z                 'obj_weakref': None
2022-11-23T01:30:20.2717133Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2717196Z             }
2022-11-23T01:30:20.2717257Z             
2022-11-23T01:30:20.2717325Z  - 
2022-11-23T01:30:20.2717437Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2717498Z             {
2022-11-23T01:30:20.2717639Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2717745Z                 'code': None,
2022-11-23T01:30:20.2717953Z                 'obj_weakref': <weakref at 0x7ff58f9b7330; to 'Tensor' at 0x7ff5a8377790>
2022-11-23T01:30:20.2718210Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2718272Z             }
2022-11-23T01:30:20.2718321Z             
2022-11-23T01:30:20.2718388Z  - 
2022-11-23T01:30:20.2718510Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.2718571Z             {
2022-11-23T01:30:20.2718711Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2718817Z                 'code': None,
2022-11-23T01:30:20.2719023Z                 'obj_weakref': <weakref at 0x7ff57ee59350; to 'Tensor' at 0x7ff57ee34770>
2022-11-23T01:30:20.2719262Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2719326Z             }
2022-11-23T01:30:20.2719387Z             
2022-11-23T01:30:20.2719515Z  - 
2022-11-23T01:30:20.2719649Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2719712Z             {
2022-11-23T01:30:20.2719844Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2720003Z                 'code': ['___check_obj_id(model, 140692658628656)'],
2022-11-23T01:30:20.2720119Z                 'obj_weakref': None
2022-11-23T01:30:20.2720349Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2720412Z             }
2022-11-23T01:30:20.2720473Z             
2022-11-23T01:30:20.2720541Z  - 
2022-11-23T01:30:20.2720661Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2720710Z             {
2022-11-23T01:30:20.2720845Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2721090Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2721207Z                 'obj_weakref': None
2022-11-23T01:30:20.2721428Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2721489Z             }
2022-11-23T01:30:20.2721551Z             
2022-11-23T01:30:20.2721607Z  - 
2022-11-23T01:30:20.2721784Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.2721847Z             {
2022-11-23T01:30:20.2722015Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.2722755Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents == [0, 0, 0, 0]'],
2022-11-23T01:30:20.2722881Z                 'obj_weakref': None
2022-11-23T01:30:20.2723102Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.2723167Z             }
2022-11-23T01:30:20.2723217Z             
2022-11-23T01:30:20.2723287Z  - 
2022-11-23T01:30:20.2723473Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.2723536Z             {
2022-11-23T01:30:20.2723680Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2723961Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 0'],
2022-11-23T01:30:20.2724079Z                 'obj_weakref': None
2022-11-23T01:30:20.2724298Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2724352Z             }
2022-11-23T01:30:20.2724416Z             
2022-11-23T01:30:20.2724486Z  - 
2022-11-23T01:30:20.2724671Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.2724735Z             {
2022-11-23T01:30:20.2724881Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2725161Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 0'],
2022-11-23T01:30:20.2725265Z                 'obj_weakref': None
2022-11-23T01:30:20.2725486Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2725550Z             }
2022-11-23T01:30:20.2725614Z             
2022-11-23T01:30:20.2725685Z  - 
2022-11-23T01:30:20.2725869Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.2725933Z             {
2022-11-23T01:30:20.2726063Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2726371Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 0'],
2022-11-23T01:30:20.2726490Z                 'obj_weakref': None
2022-11-23T01:30:20.2726709Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2726774Z             }
2022-11-23T01:30:20.2726836Z             
2022-11-23T01:30:20.2726905Z  - 
2022-11-23T01:30:20.2727075Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.2727139Z             {
2022-11-23T01:30:20.2727280Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2727561Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 0'],
2022-11-23T01:30:20.2727677Z                 'obj_weakref': None
2022-11-23T01:30:20.2727932Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2727995Z             }
2022-11-23T01:30:20.2728046Z             
2022-11-23T01:30:20.2728116Z  - 
2022-11-23T01:30:20.2728251Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.2728316Z             {
2022-11-23T01:30:20.2728436Z                 'guard_types': None,
2022-11-23T01:30:20.2728542Z                 'code': None,
2022-11-23T01:30:20.2728660Z                 'obj_weakref': None
2022-11-23T01:30:20.2728767Z                 'guarded_class': None
2022-11-23T01:30:20.2728830Z             }
2022-11-23T01:30:20.2728894Z             
2022-11-23T01:30:20.2729155Z [2022-11-23 01:26:34,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 330
2022-11-23T01:30:20.2729520Z [2022-11-23 01:26:35,756] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jm/cjm7nbpc72rljdl7n3rg6kkotnlwrih2v2d5s4wpccxbgdm5vt4e.py
2022-11-23T01:30:20.2729785Z [2022-11-23 01:26:35,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 330
2022-11-23T01:30:20.2730025Z [2022-11-23 01:26:35,761] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2730341Z [2022-11-23 01:26:35,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2730559Z [2022-11-23 01:26:35,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2730796Z [2022-11-23 01:26:35,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2731072Z [2022-11-23 01:26:35,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2731391Z [2022-11-23 01:26:35,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2731740Z [2022-11-23 01:26:35,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2732061Z [2022-11-23 01:26:35,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2732435Z [2022-11-23 01:26:35,762] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e07c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:30:20.2732528Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2732645Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:30:20.2732746Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:30:20.2732825Z                6 LOAD_FAST                1 (x)
2022-11-23T01:30:20.2732921Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:30:20.2733012Z               10 CALL_METHOD              3
2022-11-23T01:30:20.2733088Z               12 RETURN_VALUE
2022-11-23T01:30:20.2733149Z  
2022-11-23T01:30:20.2733155Z 
2022-11-23T01:30:20.2733504Z [2022-11-23 01:26:35,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:30:20.2733720Z [2022-11-23 01:26:35,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.2734057Z [2022-11-23 01:26:35,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2734356Z [2022-11-23 01:26:35,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:30:20.2734650Z [2022-11-23 01:26:35,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:30:20.2735032Z [2022-11-23 01:26:35,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2735406Z [2022-11-23 01:26:35,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2735653Z [2022-11-23 01:26:35,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2736031Z [2022-11-23 01:26:35,769] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e07c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:30:20.2736275Z [2022-11-23 01:26:35,769] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2736631Z [2022-11-23 01:26:35,769] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2736888Z [2022-11-23 01:26:35,771] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2737140Z [2022-11-23 01:26:35,773] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2737327Z [2022-11-23 01:26:35,774] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2737447Z  __compiled_fn_338 <eval_with_key>.2845 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2737535Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2737620Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.2737792Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 1, 1, 1]), {}
2022-11-23T01:30:20.2737916Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:30:20.2737922Z 
2022-11-23T01:30:20.2738244Z [2022-11-23 01:26:35,774] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2738339Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2738431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2743226Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2743331Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2743422Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2743514Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2743592Z              12 RETURN_VALUE
2022-11-23T01:30:20.2743598Z 
2022-11-23T01:30:20.2743660Z  
2022-11-23T01:30:20.2744017Z [2022-11-23 01:26:35,774] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2744126Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_338)
2022-11-23T01:30:20.2744218Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2744304Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2744381Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2744561Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2744651Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2744727Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.2744815Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.2744919Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2745035Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.2745132Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.2745221Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.2745316Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.2745418Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2745507Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2745628Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.2745707Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2745808Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.2745898Z              36 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2745973Z              38 BINARY_SUBSCR
2022-11-23T01:30:20.2746075Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.2746167Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2746263Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.2746348Z              46 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2746411Z              48 BINARY_SUBSCR
2022-11-23T01:30:20.2746510Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.2746587Z              52 RETURN_VALUE
2022-11-23T01:30:20.2746592Z 
2022-11-23T01:30:20.2746655Z  
2022-11-23T01:30:20.2746848Z [2022-11-23 01:26:35,776] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2746918Z  - 
2022-11-23T01:30:20.2747038Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2747090Z             {
2022-11-23T01:30:20.2747235Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2747420Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.2747539Z                 'obj_weakref': None
2022-11-23T01:30:20.2747765Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2747829Z             }
2022-11-23T01:30:20.2747893Z             
2022-11-23T01:30:20.2747949Z  - 
2022-11-23T01:30:20.2748073Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2748136Z             {
2022-11-23T01:30:20.2748280Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2748387Z                 'code': None,
2022-11-23T01:30:20.2748600Z                 'obj_weakref': <weakref at 0x7ff58ffd1a30; to 'Tensor' at 0x7ff58f9b1cb0>
2022-11-23T01:30:20.2748856Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2748907Z             }
2022-11-23T01:30:20.2748971Z             
2022-11-23T01:30:20.2749040Z  - 
2022-11-23T01:30:20.2749165Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.2749230Z             {
2022-11-23T01:30:20.2749372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2749477Z                 'code': None,
2022-11-23T01:30:20.2749675Z                 'obj_weakref': <weakref at 0x7ff58ffd2930; to 'Tensor' at 0x7ff5a8377790>
2022-11-23T01:30:20.2749927Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2749991Z             }
2022-11-23T01:30:20.2750053Z             
2022-11-23T01:30:20.2750122Z  - 
2022-11-23T01:30:20.2750252Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2750316Z             {
2022-11-23T01:30:20.2750439Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2750605Z                 'code': ['___check_obj_id(model, 140693066978144)'],
2022-11-23T01:30:20.2750751Z                 'obj_weakref': None
2022-11-23T01:30:20.2750982Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2751045Z             }
2022-11-23T01:30:20.2751108Z             
2022-11-23T01:30:20.2751178Z  - 
2022-11-23T01:30:20.2751286Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2751348Z             {
2022-11-23T01:30:20.2751485Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2751700Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2751817Z                 'obj_weakref': None
2022-11-23T01:30:20.2752035Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2752100Z             }
2022-11-23T01:30:20.2752176Z             
2022-11-23T01:30:20.2752246Z  - 
2022-11-23T01:30:20.2752424Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.2752490Z             {
2022-11-23T01:30:20.2752658Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.2753398Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents == [1, 1, 1, 1]'],
2022-11-23T01:30:20.2753517Z                 'obj_weakref': None
2022-11-23T01:30:20.2753739Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.2753905Z             }
2022-11-23T01:30:20.2753957Z             
2022-11-23T01:30:20.2754029Z  - 
2022-11-23T01:30:20.2754217Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.2754280Z             {
2022-11-23T01:30:20.2754421Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2754704Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:30:20.2754823Z                 'obj_weakref': None
2022-11-23T01:30:20.2755031Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2755095Z             }
2022-11-23T01:30:20.2755158Z             
2022-11-23T01:30:20.2755226Z  - 
2022-11-23T01:30:20.2755412Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.2755475Z             {
2022-11-23T01:30:20.2755616Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2755888Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:30:20.2756010Z                 'obj_weakref': None
2022-11-23T01:30:20.2756231Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2756293Z             }
2022-11-23T01:30:20.2756355Z             
2022-11-23T01:30:20.2756424Z  - 
2022-11-23T01:30:20.2756609Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.2756659Z             {
2022-11-23T01:30:20.2756801Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2757083Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:30:20.2757201Z                 'obj_weakref': None
2022-11-23T01:30:20.2757419Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2757486Z             }
2022-11-23T01:30:20.2757552Z             
2022-11-23T01:30:20.2757607Z  - 
2022-11-23T01:30:20.2757824Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.2757890Z             {
2022-11-23T01:30:20.2758031Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2758310Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:30:20.2758426Z                 'obj_weakref': None
2022-11-23T01:30:20.2758645Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2758709Z             }
2022-11-23T01:30:20.2758759Z             
2022-11-23T01:30:20.2758828Z  - 
2022-11-23T01:30:20.2758957Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.2759021Z             {
2022-11-23T01:30:20.2759168Z                 'guard_types': None,
2022-11-23T01:30:20.2759276Z                 'code': None,
2022-11-23T01:30:20.2759379Z                 'obj_weakref': None
2022-11-23T01:30:20.2759501Z                 'guarded_class': None
2022-11-23T01:30:20.2759564Z             }
2022-11-23T01:30:20.2759625Z             
2022-11-23T01:30:20.2759889Z [2022-11-23 01:26:35,780] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 331
2022-11-23T01:30:20.2760263Z [2022-11-23 01:26:37,236] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qj/cqjtplra2fqrcjwbwjdqaan4ts5xepwifzothh7hvadi73f3kogu.py
2022-11-23T01:30:20.2760527Z [2022-11-23 01:26:37,236] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 331
2022-11-23T01:30:20.2760759Z [2022-11-23 01:26:37,240] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2761060Z [2022-11-23 01:26:37,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2761281Z [2022-11-23 01:26:37,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2761529Z [2022-11-23 01:26:37,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2761808Z [2022-11-23 01:26:37,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2762126Z [2022-11-23 01:26:37,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2762474Z [2022-11-23 01:26:37,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2762795Z [2022-11-23 01:26:37,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2763179Z [2022-11-23 01:26:37,241] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e07c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:30:20.2763273Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2763395Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:30:20.2763482Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:30:20.2763574Z                6 LOAD_FAST                1 (x)
2022-11-23T01:30:20.2763672Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:30:20.2763761Z               10 CALL_METHOD              3
2022-11-23T01:30:20.2763837Z               12 RETURN_VALUE
2022-11-23T01:30:20.2763898Z  
2022-11-23T01:30:20.2763906Z 
2022-11-23T01:30:20.2764217Z [2022-11-23 01:26:37,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3040
2022-11-23T01:30:20.2764435Z [2022-11-23 01:26:37,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.2764793Z [2022-11-23 01:26:37,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2765093Z [2022-11-23 01:26:37,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:30:20.2765405Z [2022-11-23 01:26:37,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:30:20.2765758Z [2022-11-23 01:26:37,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2766130Z [2022-11-23 01:26:37,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2766410Z [2022-11-23 01:26:37,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2766792Z [2022-11-23 01:26:37,249] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e07c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3039>
2022-11-23T01:30:20.2767038Z [2022-11-23 01:26:37,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2767269Z [2022-11-23 01:26:37,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2767521Z [2022-11-23 01:26:37,250] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2767766Z [2022-11-23 01:26:37,253] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2767943Z [2022-11-23 01:26:37,253] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2768078Z  __compiled_fn_339 <eval_with_key>.2851 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2768170Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2768257Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.2768429Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 2, 3, 4]), {}
2022-11-23T01:30:20.2768558Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:30:20.2768564Z 
2022-11-23T01:30:20.2768884Z [2022-11-23 01:26:37,254] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2768977Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2769054Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2769141Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2769237Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2769324Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2769411Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2769489Z              12 RETURN_VALUE
2022-11-23T01:30:20.2769494Z 
2022-11-23T01:30:20.2769555Z  
2022-11-23T01:30:20.2769876Z [2022-11-23 01:26:37,254] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2769971Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_339)
2022-11-23T01:30:20.2770063Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2770156Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2770234Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2770324Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2770411Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2770486Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.2770564Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.2770669Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2770824Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.2770921Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.2771010Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.2771106Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.2771206Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2771282Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2771358Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.2771449Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2771550Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.2771638Z              36 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2771714Z              38 BINARY_SUBSCR
2022-11-23T01:30:20.2771844Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.2771936Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2772021Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.2772113Z              46 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2772189Z              48 BINARY_SUBSCR
2022-11-23T01:30:20.2772289Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.2772364Z              52 RETURN_VALUE
2022-11-23T01:30:20.2772369Z 
2022-11-23T01:30:20.2772431Z  
2022-11-23T01:30:20.2772616Z [2022-11-23 01:26:37,255] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2772672Z  - 
2022-11-23T01:30:20.2772791Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2772856Z             {
2022-11-23T01:30:20.2772997Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2773182Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.2773304Z                 'obj_weakref': None
2022-11-23T01:30:20.2773529Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2773582Z             }
2022-11-23T01:30:20.2773646Z             
2022-11-23T01:30:20.2773718Z  - 
2022-11-23T01:30:20.2773842Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2773906Z             {
2022-11-23T01:30:20.2774048Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2774158Z                 'code': None,
2022-11-23T01:30:20.2774359Z                 'obj_weakref': <weakref at 0x7ff58ff49c10; to 'Tensor' at 0x7ff57efba0c0>
2022-11-23T01:30:20.2774616Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2774680Z             }
2022-11-23T01:30:20.2774744Z             
2022-11-23T01:30:20.2774814Z  - 
2022-11-23T01:30:20.2774937Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.2775004Z             {
2022-11-23T01:30:20.2775133Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2775238Z                 'code': None,
2022-11-23T01:30:20.2775452Z                 'obj_weakref': <weakref at 0x7ff58ff486d0; to 'Tensor' at 0x7ff5a8377790>
2022-11-23T01:30:20.2775704Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2775768Z             }
2022-11-23T01:30:20.2775834Z             
2022-11-23T01:30:20.2775904Z  - 
2022-11-23T01:30:20.2776021Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2776084Z             {
2022-11-23T01:30:20.2776218Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2776388Z                 'code': ['___check_obj_id(model, 140693070733104)'],
2022-11-23T01:30:20.2776647Z                 'obj_weakref': None
2022-11-23T01:30:20.2776880Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2776946Z             }
2022-11-23T01:30:20.2776995Z             
2022-11-23T01:30:20.2777064Z  - 
2022-11-23T01:30:20.2777186Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2777298Z             {
2022-11-23T01:30:20.2777439Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2777658Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2777777Z                 'obj_weakref': None
2022-11-23T01:30:20.2777985Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2778050Z             }
2022-11-23T01:30:20.2778112Z             
2022-11-23T01:30:20.2778182Z  - 
2022-11-23T01:30:20.2778359Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.2778424Z             {
2022-11-23T01:30:20.2778592Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.2779331Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents == [1, 2, 3, 4]'],
2022-11-23T01:30:20.2779474Z                 'obj_weakref': None
2022-11-23T01:30:20.2779696Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.2779761Z             }
2022-11-23T01:30:20.2779824Z             
2022-11-23T01:30:20.2779895Z  - 
2022-11-23T01:30:20.2780081Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.2780144Z             {
2022-11-23T01:30:20.2780273Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2780558Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:30:20.2780678Z                 'obj_weakref': None
2022-11-23T01:30:20.2780900Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2780965Z             }
2022-11-23T01:30:20.2781028Z             
2022-11-23T01:30:20.2781097Z  - 
2022-11-23T01:30:20.2781279Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.2781330Z             {
2022-11-23T01:30:20.2781470Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2781756Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:30:20.2781875Z                 'obj_weakref': None
2022-11-23T01:30:20.2782095Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2782161Z             }
2022-11-23T01:30:20.2782225Z             
2022-11-23T01:30:20.2782281Z  - 
2022-11-23T01:30:20.2782468Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.2782533Z             {
2022-11-23T01:30:20.2782675Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2782957Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 3'],
2022-11-23T01:30:20.2783077Z                 'obj_weakref': None
2022-11-23T01:30:20.2783298Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2783348Z             }
2022-11-23T01:30:20.2783411Z             
2022-11-23T01:30:20.2783480Z  - 
2022-11-23T01:30:20.2783664Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.2783728Z             {
2022-11-23T01:30:20.2783872Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.2784200Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 4'],
2022-11-23T01:30:20.2784320Z                 'obj_weakref': None
2022-11-23T01:30:20.2784527Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.2784590Z             }
2022-11-23T01:30:20.2784654Z             
2022-11-23T01:30:20.2784723Z  - 
2022-11-23T01:30:20.2784853Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.2784916Z             {
2022-11-23T01:30:20.2785022Z                 'guard_types': None,
2022-11-23T01:30:20.2785130Z                 'code': None,
2022-11-23T01:30:20.2785246Z                 'obj_weakref': None
2022-11-23T01:30:20.2785370Z                 'guarded_class': None
2022-11-23T01:30:20.2785437Z             }
2022-11-23T01:30:20.2785500Z             
2022-11-23T01:30:20.2785793Z [2022-11-23 01:26:37,260] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 332
2022-11-23T01:30:20.2785799Z 
2022-11-23T01:30:20.2785895Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2785950Z import torch
2022-11-23T01:30:20.2786019Z import random
2022-11-23T01:30:20.2786133Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2786254Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2786259Z 
2022-11-23T01:30:20.2786336Z aten = torch.ops.aten
2022-11-23T01:30:20.2786468Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2786560Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2786565Z 
2022-11-23T01:30:20.2786570Z 
2022-11-23T01:30:20.2786690Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2786894Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2787013Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2787116Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.2787177Z {
2022-11-23T01:30:20.2787275Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2787338Z     {
2022-11-23T01:30:20.2787416Z         #pragma omp for 
2022-11-23T01:30:20.2787484Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2787548Z         {
2022-11-23T01:30:20.2787627Z             #pragma GCC ivdep
2022-11-23T01:30:20.2787709Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.2787773Z             {
2022-11-23T01:30:20.2787836Z                 {
2022-11-23T01:30:20.2787889Z                     {
2022-11-23T01:30:20.2787992Z                         auto tmp0 = static_cast<int>(i0);
2022-11-23T01:30:20.2788095Z                         auto tmp1 = static_cast<int>(i1);
2022-11-23T01:30:20.2788202Z                         auto tmp2 = in_ptr0[tmp1 + (8*tmp0)];
2022-11-23T01:30:20.2788297Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:30:20.2788366Z                     }
2022-11-23T01:30:20.2788430Z                 }
2022-11-23T01:30:20.2788480Z             }
2022-11-23T01:30:20.2788543Z         }
2022-11-23T01:30:20.2788604Z     }
2022-11-23T01:30:20.2788666Z }
2022-11-23T01:30:20.2788743Z ''')
2022-11-23T01:30:20.2788748Z 
2022-11-23T01:30:20.2788752Z 
2022-11-23T01:30:20.2788841Z async_compile.wait(globals())
2022-11-23T01:30:20.2788913Z del async_compile
2022-11-23T01:30:20.2788918Z 
2022-11-23T01:30:20.2788975Z def call(args):
2022-11-23T01:30:20.2789050Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.2789121Z     args.clear()
2022-11-23T01:30:20.2789334Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2789467Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.2789535Z     del arg0_1
2022-11-23T01:30:20.2789606Z     return (buf0, )
2022-11-23T01:30:20.2789611Z 
2022-11-23T01:30:20.2789615Z 
2022-11-23T01:30:20.2789689Z if __name__ == "__main__":
2022-11-23T01:30:20.2789791Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2789914Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2790162Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2790377Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2790492Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.2790496Z 
2022-11-23T01:30:20.2790501Z 
2022-11-23T01:30:20.2790592Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2790663Z import torch
2022-11-23T01:30:20.2790731Z import random
2022-11-23T01:30:20.2790833Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2790954Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2790958Z 
2022-11-23T01:30:20.2791036Z aten = torch.ops.aten
2022-11-23T01:30:20.2791168Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2791290Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2791295Z 
2022-11-23T01:30:20.2791299Z 
2022-11-23T01:30:20.2791429Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2791636Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2791754Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2791839Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.2791900Z {
2022-11-23T01:30:20.2791999Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2792060Z     {
2022-11-23T01:30:20.2792137Z         #pragma omp for 
2022-11-23T01:30:20.2792217Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2792280Z         {
2022-11-23T01:30:20.2792347Z             #pragma GCC ivdep
2022-11-23T01:30:20.2792430Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.2792493Z             {
2022-11-23T01:30:20.2792558Z                 {
2022-11-23T01:30:20.2792626Z                     {
2022-11-23T01:30:20.2792734Z                         auto tmp0 = static_cast<int>(1 + i0);
2022-11-23T01:30:20.2792843Z                         auto tmp1 = static_cast<int>(1 + i1);
2022-11-23T01:30:20.2792939Z                         auto tmp2 = in_ptr0[tmp1 + (10*tmp0)];
2022-11-23T01:30:20.2793040Z                         auto tmp3 = static_cast<int>(i1);
2022-11-23T01:30:20.2793130Z                         auto tmp4 = tmp3 >= 1;
2022-11-23T01:30:20.2793223Z                         auto tmp5 = tmp3 <= 1;
2022-11-23T01:30:20.2793319Z                         auto tmp6 = tmp4 & tmp5;
2022-11-23T01:30:20.2793403Z                         float tmp7 = 0.0;
2022-11-23T01:30:20.2793479Z                         if(tmp6)
2022-11-23T01:30:20.2793534Z                         {
2022-11-23T01:30:20.2793642Z                             auto tmp8 = static_cast<int>(1 + i0);
2022-11-23T01:30:20.2793919Z                             auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:30:20.2794034Z                             auto tmp10 = in_ptr0[tmp9 + (10*tmp8)];
2022-11-23T01:30:20.2794116Z                             tmp7 = tmp10;
2022-11-23T01:30:20.2794186Z                         }
2022-11-23T01:30:20.2794281Z                         auto tmp11 = tmp2 + tmp7;
2022-11-23T01:30:20.2794360Z                         auto tmp12 = tmp3 >= 6;
2022-11-23T01:30:20.2794451Z                         auto tmp13 = tmp3 <= 6;
2022-11-23T01:30:20.2794546Z                         auto tmp14 = tmp12 & tmp13;
2022-11-23T01:30:20.2794632Z                         float tmp15 = 0.0;
2022-11-23T01:30:20.2794707Z                         if(tmp14)
2022-11-23T01:30:20.2794774Z                         {
2022-11-23T01:30:20.2794883Z                             auto tmp16 = static_cast<int>(1 + i0);
2022-11-23T01:30:20.2795050Z                             auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:30:20.2795159Z                             auto tmp18 = in_ptr0[tmp17 + (10*tmp16)];
2022-11-23T01:30:20.2795244Z                             tmp15 = tmp18;
2022-11-23T01:30:20.2795311Z                         }
2022-11-23T01:30:20.2795405Z                         auto tmp19 = tmp11 + tmp15;
2022-11-23T01:30:20.2795545Z                         auto tmp20 = static_cast<int>(i0);
2022-11-23T01:30:20.2795644Z                         auto tmp21 = tmp20 >= 1;
2022-11-23T01:30:20.2795735Z                         auto tmp22 = tmp20 <= 1;
2022-11-23T01:30:20.2795817Z                         auto tmp23 = tmp21 & tmp22;
2022-11-23T01:30:20.2795903Z                         float tmp24 = 0.0;
2022-11-23T01:30:20.2795978Z                         if(tmp23)
2022-11-23T01:30:20.2796047Z                         {
2022-11-23T01:30:20.2796225Z                             auto tmp25 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:30:20.2796335Z                             auto tmp26 = static_cast<int>(1 + i1);
2022-11-23T01:30:20.2796445Z                             auto tmp27 = in_ptr0[tmp26 + (10*tmp25)];
2022-11-23T01:30:20.2796540Z                             tmp24 = tmp27;
2022-11-23T01:30:20.2796608Z                         }
2022-11-23T01:30:20.2796702Z                         auto tmp28 = tmp19 + tmp24;
2022-11-23T01:30:20.2796796Z                         auto tmp29 = tmp20 >= 6;
2022-11-23T01:30:20.2796887Z                         auto tmp30 = tmp20 <= 6;
2022-11-23T01:30:20.2796981Z                         auto tmp31 = tmp29 & tmp30;
2022-11-23T01:30:20.2797066Z                         float tmp32 = 0.0;
2022-11-23T01:30:20.2797127Z                         if(tmp31)
2022-11-23T01:30:20.2797195Z                         {
2022-11-23T01:30:20.2797371Z                             auto tmp33 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:30:20.2797481Z                             auto tmp34 = static_cast<int>(1 + i1);
2022-11-23T01:30:20.2797590Z                             auto tmp35 = in_ptr0[tmp34 + (10*tmp33)];
2022-11-23T01:30:20.2797673Z                             tmp32 = tmp35;
2022-11-23T01:30:20.2797742Z                         }
2022-11-23T01:30:20.2797823Z                         auto tmp36 = tmp28 + tmp32;
2022-11-23T01:30:20.2797915Z                         auto tmp37 = tmp23 & tmp6;
2022-11-23T01:30:20.2798001Z                         float tmp38 = 0.0;
2022-11-23T01:30:20.2798078Z                         if(tmp37)
2022-11-23T01:30:20.2798145Z                         {
2022-11-23T01:30:20.2798316Z                             auto tmp39 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:30:20.2798490Z                             auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:30:20.2798600Z                             auto tmp41 = in_ptr0[tmp40 + (10*tmp39)];
2022-11-23T01:30:20.2798668Z                             tmp38 = tmp41;
2022-11-23T01:30:20.2798735Z                         }
2022-11-23T01:30:20.2798829Z                         auto tmp42 = tmp36 + tmp38;
2022-11-23T01:30:20.2798921Z                         auto tmp43 = tmp23 & tmp14;
2022-11-23T01:30:20.2799005Z                         float tmp44 = 0.0;
2022-11-23T01:30:20.2799081Z                         if(tmp43)
2022-11-23T01:30:20.2799148Z                         {
2022-11-23T01:30:20.2799312Z                             auto tmp45 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:30:20.2799487Z                             auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:30:20.2799595Z                             auto tmp47 = in_ptr0[tmp46 + (10*tmp45)];
2022-11-23T01:30:20.2799676Z                             tmp44 = tmp47;
2022-11-23T01:30:20.2799745Z                         }
2022-11-23T01:30:20.2799837Z                         auto tmp48 = tmp42 + tmp44;
2022-11-23T01:30:20.2799930Z                         auto tmp49 = tmp31 & tmp6;
2022-11-23T01:30:20.2800002Z                         float tmp50 = 0.0;
2022-11-23T01:30:20.2800077Z                         if(tmp49)
2022-11-23T01:30:20.2800144Z                         {
2022-11-23T01:30:20.2800320Z                             auto tmp51 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:30:20.2800494Z                             auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:30:20.2800602Z                             auto tmp53 = in_ptr0[tmp52 + (10*tmp51)];
2022-11-23T01:30:20.2800714Z                             tmp50 = tmp53;
2022-11-23T01:30:20.2800770Z                         }
2022-11-23T01:30:20.2800862Z                         auto tmp54 = tmp48 + tmp50;
2022-11-23T01:30:20.2800954Z                         auto tmp55 = tmp31 & tmp14;
2022-11-23T01:30:20.2801038Z                         float tmp56 = 0.0;
2022-11-23T01:30:20.2801114Z                         if(tmp55)
2022-11-23T01:30:20.2801182Z                         {
2022-11-23T01:30:20.2801359Z                             auto tmp57 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:30:20.2801534Z                             auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:30:20.2801631Z                             auto tmp59 = in_ptr0[tmp58 + (10*tmp57)];
2022-11-23T01:30:20.2801740Z                             tmp56 = tmp59;
2022-11-23T01:30:20.2801810Z                         }
2022-11-23T01:30:20.2801903Z                         auto tmp60 = tmp54 + tmp56;
2022-11-23T01:30:20.2802000Z                         out_ptr0[i1 + (8*i0)] = tmp60;
2022-11-23T01:30:20.2802067Z                     }
2022-11-23T01:30:20.2802133Z                 }
2022-11-23T01:30:20.2802183Z             }
2022-11-23T01:30:20.2802247Z         }
2022-11-23T01:30:20.2802310Z     }
2022-11-23T01:30:20.2802370Z }
2022-11-23T01:30:20.2802449Z ''')
2022-11-23T01:30:20.2802454Z 
2022-11-23T01:30:20.2802459Z 
2022-11-23T01:30:20.2802549Z async_compile.wait(globals())
2022-11-23T01:30:20.2802620Z del async_compile
2022-11-23T01:30:20.2802625Z 
2022-11-23T01:30:20.2802681Z def call(args):
2022-11-23T01:30:20.2802757Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.2802829Z     args.clear()
2022-11-23T01:30:20.2803039Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2803177Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.2803246Z     del arg0_1
2022-11-23T01:30:20.2803317Z     return (buf0, )
2022-11-23T01:30:20.2803322Z 
2022-11-23T01:30:20.2803328Z 
2022-11-23T01:30:20.2803390Z if __name__ == "__main__":
2022-11-23T01:30:20.2803503Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2803628Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2803850Z     arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2804060Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2804174Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.2804179Z 
2022-11-23T01:30:20.2804556Z [2022-11-23 01:26:38,727] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/go/cgodhcuhd3mdobdeq6dj3gbupbyk4p6vzvpzwnmhxxdhezbcganr.py
2022-11-23T01:30:20.2804825Z [2022-11-23 01:26:38,728] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 332
2022-11-23T01:30:20.2804830Z 
2022-11-23T01:30:20.2804927Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2804984Z import torch
2022-11-23T01:30:20.2805054Z import random
2022-11-23T01:30:20.2805171Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2805291Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2805297Z 
2022-11-23T01:30:20.2805374Z aten = torch.ops.aten
2022-11-23T01:30:20.2805507Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2805597Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2805602Z 
2022-11-23T01:30:20.2805606Z 
2022-11-23T01:30:20.2805739Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2805934Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2806053Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2806155Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.2806216Z {
2022-11-23T01:30:20.2806313Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2806401Z     {
2022-11-23T01:30:20.2806482Z         #pragma omp for 
2022-11-23T01:30:20.2806551Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2806615Z         {
2022-11-23T01:30:20.2806695Z             #pragma GCC ivdep
2022-11-23T01:30:20.2806776Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.2806839Z             {
2022-11-23T01:30:20.2806905Z                 {
2022-11-23T01:30:20.2806971Z                     {
2022-11-23T01:30:20.2807066Z                         auto tmp0 = static_cast<int>(3 + i0);
2022-11-23T01:30:20.2807173Z                         auto tmp1 = static_cast<int>(1 + i1);
2022-11-23T01:30:20.2807278Z                         auto tmp2 = in_ptr0[tmp1 + (11*tmp0)];
2022-11-23T01:30:20.2807380Z                         auto tmp3 = static_cast<int>(i1);
2022-11-23T01:30:20.2807501Z                         auto tmp4 = tmp3 >= 1;
2022-11-23T01:30:20.2807591Z                         auto tmp5 = tmp3 <= 1;
2022-11-23T01:30:20.2807688Z                         auto tmp6 = tmp4 & tmp5;
2022-11-23T01:30:20.2807760Z                         float tmp7 = 0.0;
2022-11-23T01:30:20.2807835Z                         if(tmp6)
2022-11-23T01:30:20.2807902Z                         {
2022-11-23T01:30:20.2808010Z                             auto tmp8 = static_cast<int>(3 + i0);
2022-11-23T01:30:20.2808186Z                             auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:30:20.2808294Z                             auto tmp10 = in_ptr0[tmp9 + (11*tmp8)];
2022-11-23T01:30:20.2808376Z                             tmp7 = tmp10;
2022-11-23T01:30:20.2808430Z                         }
2022-11-23T01:30:20.2808523Z                         auto tmp11 = tmp2 + tmp7;
2022-11-23T01:30:20.2808615Z                         auto tmp12 = tmp3 >= 5;
2022-11-23T01:30:20.2808707Z                         auto tmp13 = tmp3 <= 6;
2022-11-23T01:30:20.2808803Z                         auto tmp14 = tmp12 & tmp13;
2022-11-23T01:30:20.2808890Z                         float tmp15 = 0.0;
2022-11-23T01:30:20.2808970Z                         if(tmp14)
2022-11-23T01:30:20.2809024Z                         {
2022-11-23T01:30:20.2809132Z                             auto tmp16 = static_cast<int>(3 + i0);
2022-11-23T01:30:20.2809311Z                             auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:30:20.2809421Z                             auto tmp18 = in_ptr0[tmp17 + (11*tmp16)];
2022-11-23T01:30:20.2809504Z                             tmp15 = tmp18;
2022-11-23T01:30:20.2809571Z                         }
2022-11-23T01:30:20.2809666Z                         auto tmp19 = tmp11 + tmp15;
2022-11-23T01:30:20.2809770Z                         auto tmp20 = static_cast<int>(i0);
2022-11-23T01:30:20.2809849Z                         auto tmp21 = tmp20 >= 1;
2022-11-23T01:30:20.2809941Z                         auto tmp22 = tmp20 <= 3;
2022-11-23T01:30:20.2810038Z                         auto tmp23 = tmp21 & tmp22;
2022-11-23T01:30:20.2810124Z                         float tmp24 = 0.0;
2022-11-23T01:30:20.2810201Z                         if(tmp23)
2022-11-23T01:30:20.2810268Z                         {
2022-11-23T01:30:20.2810447Z                             auto tmp25 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:30:20.2810542Z                             auto tmp26 = static_cast<int>(1 + i1);
2022-11-23T01:30:20.2810650Z                             auto tmp27 = in_ptr0[tmp26 + (11*tmp25)];
2022-11-23T01:30:20.2810734Z                             tmp24 = tmp27;
2022-11-23T01:30:20.2810801Z                         }
2022-11-23T01:30:20.2810895Z                         auto tmp28 = tmp19 + tmp24;
2022-11-23T01:30:20.2810986Z                         auto tmp29 = tmp20 >= 3;
2022-11-23T01:30:20.2811076Z                         auto tmp30 = tmp20 <= 6;
2022-11-23T01:30:20.2811156Z                         auto tmp31 = tmp29 & tmp30;
2022-11-23T01:30:20.2811242Z                         float tmp32 = 0.0;
2022-11-23T01:30:20.2811320Z                         if(tmp31)
2022-11-23T01:30:20.2811415Z                         {
2022-11-23T01:30:20.2811593Z                             auto tmp33 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:30:20.2811707Z                             auto tmp34 = static_cast<int>(1 + i1);
2022-11-23T01:30:20.2811817Z                             auto tmp35 = in_ptr0[tmp34 + (11*tmp33)];
2022-11-23T01:30:20.2811899Z                             tmp32 = tmp35;
2022-11-23T01:30:20.2811954Z                         }
2022-11-23T01:30:20.2812048Z                         auto tmp36 = tmp28 + tmp32;
2022-11-23T01:30:20.2812141Z                         auto tmp37 = tmp23 & tmp6;
2022-11-23T01:30:20.2812226Z                         float tmp38 = 0.0;
2022-11-23T01:30:20.2812300Z                         if(tmp37)
2022-11-23T01:30:20.2812368Z                         {
2022-11-23T01:30:20.2812568Z                             auto tmp39 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:30:20.2812731Z                             auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:30:20.2812844Z                             auto tmp41 = in_ptr0[tmp40 + (11*tmp39)];
2022-11-23T01:30:20.2812926Z                             tmp38 = tmp41;
2022-11-23T01:30:20.2812992Z                         }
2022-11-23T01:30:20.2813085Z                         auto tmp42 = tmp36 + tmp38;
2022-11-23T01:30:20.2813176Z                         auto tmp43 = tmp23 & tmp14;
2022-11-23T01:30:20.2813260Z                         float tmp44 = 0.0;
2022-11-23T01:30:20.2813322Z                         if(tmp43)
2022-11-23T01:30:20.2813390Z                         {
2022-11-23T01:30:20.2813563Z                             auto tmp45 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:30:20.2813741Z                             auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:30:20.2813849Z                             auto tmp47 = in_ptr0[tmp46 + (11*tmp45)];
2022-11-23T01:30:20.2813933Z                             tmp44 = tmp47;
2022-11-23T01:30:20.2814001Z                         }
2022-11-23T01:30:20.2814083Z                         auto tmp48 = tmp42 + tmp44;
2022-11-23T01:30:20.2814176Z                         auto tmp49 = tmp31 & tmp6;
2022-11-23T01:30:20.2814262Z                         float tmp50 = 0.0;
2022-11-23T01:30:20.2814338Z                         if(tmp49)
2022-11-23T01:30:20.2814405Z                         {
2022-11-23T01:30:20.2814580Z                             auto tmp51 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:30:20.2814753Z                             auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:30:20.2814861Z                             auto tmp53 = in_ptr0[tmp52 + (11*tmp51)];
2022-11-23T01:30:20.2814929Z                             tmp50 = tmp53;
2022-11-23T01:30:20.2814998Z                         }
2022-11-23T01:30:20.2815093Z                         auto tmp54 = tmp48 + tmp50;
2022-11-23T01:30:20.2815187Z                         auto tmp55 = tmp31 & tmp14;
2022-11-23T01:30:20.2815271Z                         float tmp56 = 0.0;
2022-11-23T01:30:20.2815349Z                         if(tmp55)
2022-11-23T01:30:20.2815418Z                         {
2022-11-23T01:30:20.2815580Z                             auto tmp57 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:30:20.2815757Z                             auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:30:20.2815866Z                             auto tmp59 = in_ptr0[tmp58 + (11*tmp57)];
2022-11-23T01:30:20.2815948Z                             tmp56 = tmp59;
2022-11-23T01:30:20.2816016Z                         }
2022-11-23T01:30:20.2816109Z                         auto tmp60 = tmp54 + tmp56;
2022-11-23T01:30:20.2816205Z                         out_ptr0[i1 + (8*i0)] = tmp60;
2022-11-23T01:30:20.2816259Z                     }
2022-11-23T01:30:20.2816323Z                 }
2022-11-23T01:30:20.2816386Z             }
2022-11-23T01:30:20.2816571Z         }
2022-11-23T01:30:20.2816634Z     }
2022-11-23T01:30:20.2816698Z }
2022-11-23T01:30:20.2816764Z ''')
2022-11-23T01:30:20.2816783Z 
2022-11-23T01:30:20.2816787Z 
2022-11-23T01:30:20.2816912Z async_compile.wait(globals())
2022-11-23T01:30:20.2816987Z del async_compile
2022-11-23T01:30:20.2816992Z 
2022-11-23T01:30:20.2817061Z def call(args):
2022-11-23T01:30:20.2817136Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.2817207Z     args.clear()
2022-11-23T01:30:20.2817420Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2817553Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.2817607Z     del arg0_1
2022-11-23T01:30:20.2817676Z     return (buf0, )
2022-11-23T01:30:20.2817681Z 
2022-11-23T01:30:20.2817684Z 
2022-11-23T01:30:20.2817760Z if __name__ == "__main__":
2022-11-23T01:30:20.2817874Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2817994Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2818275Z     arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2818489Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2818604Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.2818609Z 
2022-11-23T01:30:20.2818663Z ok (4.374s)
2022-11-23T01:30:20.2818985Z   test_reflection_pad2d_cpu (__main__.CpuTests) ... [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2819303Z [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2819522Z [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2819777Z [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2820058Z [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2820375Z [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2820723Z [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2821045Z [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2821421Z [2022-11-23 01:26:38,733] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e0660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027> 
2022-11-23T01:30:20.2821515Z  3029           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2821614Z                2 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:30:20.2821707Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2821797Z                6 BUILD_LIST               0
2022-11-23T01:30:20.2821892Z                8 LOAD_CONST               1 ((1, 1, 1, 1))
2022-11-23T01:30:20.2821979Z               10 LIST_EXTEND              1
2022-11-23T01:30:20.2822065Z               12 CALL_METHOD              2
2022-11-23T01:30:20.2822070Z 
2022-11-23T01:30:20.2822162Z 3030          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2822258Z               16 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:30:20.2822350Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2822436Z               20 BUILD_LIST               0
2022-11-23T01:30:20.2822532Z               22 LOAD_CONST               2 ((1, 2, 3, 4))
2022-11-23T01:30:20.2822615Z               24 LIST_EXTEND              1
2022-11-23T01:30:20.2822701Z               26 CALL_METHOD              2
2022-11-23T01:30:20.2822706Z 
2022-11-23T01:30:20.2822791Z 3028          28 BUILD_TUPLE              2
2022-11-23T01:30:20.2822904Z               30 RETURN_VALUE
2022-11-23T01:30:20.2822954Z  
2022-11-23T01:30:20.2822959Z 
2022-11-23T01:30:20.2823272Z [2022-11-23 01:26:38,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3029
2022-11-23T01:30:20.2823489Z [2022-11-23 01:26:38,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.2823813Z [2022-11-23 01:26:38,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2824084Z [2022-11-23 01:26:38,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:30:20.2824382Z [2022-11-23 01:26:38,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:30:20.2824747Z [2022-11-23 01:26:38,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 1, 1, 1) [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2825114Z [2022-11-23 01:26:38,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.2825440Z [2022-11-23 01:26:38,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2825754Z [2022-11-23 01:26:38,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3030
2022-11-23T01:30:20.2825986Z [2022-11-23 01:26:38,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.2826340Z [2022-11-23 01:26:38,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2826642Z [2022-11-23 01:26:38,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:30:20.2826966Z [2022-11-23 01:26:38,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:30:20.2827326Z [2022-11-23 01:26:38,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2827723Z [2022-11-23 01:26:38,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.2828082Z [2022-11-23 01:26:38,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2828394Z [2022-11-23 01:26:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3028
2022-11-23T01:30:20.2828664Z [2022-11-23 01:26:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2828909Z [2022-11-23 01:26:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2829289Z [2022-11-23 01:26:38,749] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e0660, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3027>
2022-11-23T01:30:20.2829534Z [2022-11-23 01:26:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2829757Z [2022-11-23 01:26:38,749] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2830039Z [2022-11-23 01:26:38,750] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2830288Z [2022-11-23 01:26:38,753] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2830477Z [2022-11-23 01:26:38,753] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2830610Z  __compiled_fn_340 <eval_with_key>.2857 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2830699Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2830845Z call_function, reflection_pad2d, aten.reflection_pad2d, (ex_0_, [1, 1, 1, 1]), {}
2022-11-23T01:30:20.2830988Z call_function, reflection_pad2d_1, aten.reflection_pad2d, (ex_0_, [1, 2, 3, 4]), {}
2022-11-23T01:30:20.2831109Z output, output, output, ((reflection_pad2d, reflection_pad2d_1),), {}
2022-11-23T01:30:20.2831153Z 
2022-11-23T01:30:20.2831464Z [2022-11-23 01:26:38,753] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2831557Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2831648Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2831736Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2831828Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2831916Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2832004Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2832068Z              12 RETURN_VALUE
2022-11-23T01:30:20.2832073Z 
2022-11-23T01:30:20.2832133Z  
2022-11-23T01:30:20.2832456Z [2022-11-23 01:26:38,753] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2832564Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_340)
2022-11-23T01:30:20.2832655Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2832745Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2832824Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2832913Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2833003Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2833104Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2833194Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2833272Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2833375Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2833463Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2833538Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2833613Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.2833686Z              26 RETURN_VALUE
2022-11-23T01:30:20.2833691Z 
2022-11-23T01:30:20.2833754Z  
2022-11-23T01:30:20.2834016Z [2022-11-23 01:26:38,754] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2834087Z  - 
2022-11-23T01:30:20.2834207Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2834274Z             {
2022-11-23T01:30:20.2834401Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2834589Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2834707Z                 'obj_weakref': None
2022-11-23T01:30:20.2834932Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2834996Z             }
2022-11-23T01:30:20.2835059Z             
2022-11-23T01:30:20.2835127Z  - 
2022-11-23T01:30:20.2835238Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2835302Z             {
2022-11-23T01:30:20.2835449Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2835555Z                 'code': None,
2022-11-23T01:30:20.2835768Z                 'obj_weakref': <weakref at 0x7ff57ef07970; to 'Tensor' at 0x7ff57ee10590>
2022-11-23T01:30:20.2836064Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2836129Z             }
2022-11-23T01:30:20.2836179Z             
2022-11-23T01:30:20.2836247Z  - 
2022-11-23T01:30:20.2836381Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2836445Z             {
2022-11-23T01:30:20.2836579Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2836744Z                 'code': ['___check_obj_id(model, 140692390543568)'],
2022-11-23T01:30:20.2836852Z                 'obj_weakref': None
2022-11-23T01:30:20.2837087Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2837150Z             }
2022-11-23T01:30:20.2837212Z             
2022-11-23T01:30:20.2837278Z  - 
2022-11-23T01:30:20.2837399Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2837492Z             {
2022-11-23T01:30:20.2837616Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2837836Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2837954Z                 'obj_weakref': None
2022-11-23T01:30:20.2838175Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2838238Z             }
2022-11-23T01:30:20.2838300Z             
2022-11-23T01:30:20.2838367Z  - 
2022-11-23T01:30:20.2838485Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.2838548Z             {
2022-11-23T01:30:20.2838666Z                 'guard_types': None,
2022-11-23T01:30:20.2838772Z                 'code': None,
2022-11-23T01:30:20.2838886Z                 'obj_weakref': None
2022-11-23T01:30:20.2839004Z                 'guarded_class': None
2022-11-23T01:30:20.2839066Z             }
2022-11-23T01:30:20.2839116Z             
2022-11-23T01:30:20.2839377Z [2022-11-23 01:26:38,759] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 333
2022-11-23T01:30:20.2839741Z [2022-11-23 01:26:40,184] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6d/c6dgo4lejlr4jzm4ek3t23nahsyyjdkpzieciztcqyxkxp52alrz.py
2022-11-23T01:30:20.2840004Z [2022-11-23 01:26:40,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 333
2022-11-23T01:30:20.2840009Z 
2022-11-23T01:30:20.2840101Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2840169Z import torch
2022-11-23T01:30:20.2840239Z import random
2022-11-23T01:30:20.2840354Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2840462Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2840467Z 
2022-11-23T01:30:20.2840545Z aten = torch.ops.aten
2022-11-23T01:30:20.2840678Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2840771Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2840778Z 
2022-11-23T01:30:20.2840783Z 
2022-11-23T01:30:20.2840914Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2841125Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2841246Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2841347Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2841431Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.2841492Z {
2022-11-23T01:30:20.2841590Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2841654Z     {
2022-11-23T01:30:20.2841732Z         #pragma omp for 
2022-11-23T01:30:20.2841821Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.2841870Z         {
2022-11-23T01:30:20.2841950Z             #pragma GCC ivdep
2022-11-23T01:30:20.2842035Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.2842099Z             {
2022-11-23T01:30:20.2842164Z                 {
2022-11-23T01:30:20.2842235Z                     {
2022-11-23T01:30:20.2842340Z                         auto tmp0 = static_cast<int>(7);
2022-11-23T01:30:20.2842429Z                         auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:20.2842560Z                         auto tmp2 = static_cast<int>(1);
2022-11-23T01:30:20.2842703Z                         auto tmp3 = tmp1 - tmp2;
2022-11-23T01:30:20.2842816Z                         auto tmp4 = std::abs(tmp3);
2022-11-23T01:30:20.2842956Z                         auto tmp5 = tmp0 - tmp4;
2022-11-23T01:30:20.2843056Z                         auto tmp6 = std::abs(tmp5);
2022-11-23T01:30:20.2843195Z                         auto tmp7 = tmp0 - tmp6;
2022-11-23T01:30:20.2843297Z                         auto tmp8 = static_cast<int>(i1);
2022-11-23T01:30:20.2843421Z                         auto tmp9 = tmp8 - tmp2;
2022-11-23T01:30:20.2843520Z                         auto tmp10 = std::abs(tmp9);
2022-11-23T01:30:20.2843659Z                         auto tmp11 = tmp0 - tmp10;
2022-11-23T01:30:20.2843789Z                         auto tmp12 = std::abs(tmp11);
2022-11-23T01:30:20.2843930Z                         auto tmp13 = tmp0 - tmp12;
2022-11-23T01:30:20.2844039Z                         auto tmp14 = in_ptr0[tmp13 + (8*tmp7)];
2022-11-23T01:30:20.2844137Z                         out_ptr0[i1 + (10*i0)] = tmp14;
2022-11-23T01:30:20.2844192Z                     }
2022-11-23T01:30:20.2844258Z                 }
2022-11-23T01:30:20.2844323Z             }
2022-11-23T01:30:20.2844386Z         }
2022-11-23T01:30:20.2844462Z         #pragma omp for 
2022-11-23T01:30:20.2844543Z         for(long i0=0; i0<15; i0+=1)
2022-11-23T01:30:20.2844606Z         {
2022-11-23T01:30:20.2844672Z             #pragma GCC ivdep
2022-11-23T01:30:20.2844755Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:30:20.2844819Z             {
2022-11-23T01:30:20.2844884Z                 {
2022-11-23T01:30:20.2844950Z                     {
2022-11-23T01:30:20.2845053Z                         auto tmp0 = static_cast<int>(7);
2022-11-23T01:30:20.2845160Z                         auto tmp1 = static_cast<int>(i0);
2022-11-23T01:30:20.2845250Z                         auto tmp2 = static_cast<int>(3);
2022-11-23T01:30:20.2845392Z                         auto tmp3 = tmp1 - tmp2;
2022-11-23T01:30:20.2845492Z                         auto tmp4 = std::abs(tmp3);
2022-11-23T01:30:20.2845632Z                         auto tmp5 = tmp0 - tmp4;
2022-11-23T01:30:20.2845728Z                         auto tmp6 = std::abs(tmp5);
2022-11-23T01:30:20.2845864Z                         auto tmp7 = tmp0 - tmp6;
2022-11-23T01:30:20.2845967Z                         auto tmp8 = static_cast<int>(i1);
2022-11-23T01:30:20.2846057Z                         auto tmp9 = static_cast<int>(1);
2022-11-23T01:30:20.2846193Z                         auto tmp10 = tmp8 - tmp9;
2022-11-23T01:30:20.2846291Z                         auto tmp11 = std::abs(tmp10);
2022-11-23T01:30:20.2846431Z                         auto tmp12 = tmp0 - tmp11;
2022-11-23T01:30:20.2846526Z                         auto tmp13 = std::abs(tmp12);
2022-11-23T01:30:20.2846667Z                         auto tmp14 = tmp0 - tmp13;
2022-11-23T01:30:20.2846774Z                         auto tmp15 = in_ptr0[tmp14 + (8*tmp7)];
2022-11-23T01:30:20.2846868Z                         out_ptr1[i1 + (11*i0)] = tmp15;
2022-11-23T01:30:20.2846922Z                     }
2022-11-23T01:30:20.2846985Z                 }
2022-11-23T01:30:20.2847048Z             }
2022-11-23T01:30:20.2847109Z         }
2022-11-23T01:30:20.2847168Z     }
2022-11-23T01:30:20.2847226Z }
2022-11-23T01:30:20.2847290Z ''')
2022-11-23T01:30:20.2847296Z 
2022-11-23T01:30:20.2847312Z 
2022-11-23T01:30:20.2847387Z async_compile.wait(globals())
2022-11-23T01:30:20.2847456Z del async_compile
2022-11-23T01:30:20.2847461Z 
2022-11-23T01:30:20.2847530Z def call(args):
2022-11-23T01:30:20.2847597Z     arg0_1, = args
2022-11-23T01:30:20.2847667Z     args.clear()
2022-11-23T01:30:20.2847886Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2848102Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2848285Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.2848353Z     del arg0_1
2022-11-23T01:30:20.2848428Z     return (buf0, buf1, )
2022-11-23T01:30:20.2848432Z 
2022-11-23T01:30:20.2848437Z 
2022-11-23T01:30:20.2848511Z if __name__ == "__main__":
2022-11-23T01:30:20.2848623Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2848742Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2848953Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2849060Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2849065Z 
2022-11-23T01:30:20.2849118Z ok (1.457s)
2022-11-23T01:30:20.2849416Z   test_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:26:40,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2849757Z [2022-11-23 01:26:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2849973Z [2022-11-23 01:26:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2850221Z [2022-11-23 01:26:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2850496Z [2022-11-23 01:26:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2850812Z [2022-11-23 01:26:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2851154Z [2022-11-23 01:26:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2851475Z [2022-11-23 01:26:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2851851Z [2022-11-23 01:26:40,191] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19bc00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994> 
2022-11-23T01:30:20.2851936Z  995           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2852027Z               2 LOAD_METHOD              1 (relu)
2022-11-23T01:30:20.2852117Z               4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2852203Z               6 CALL_METHOD              1
2022-11-23T01:30:20.2852293Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2852381Z              10 LOAD_METHOD              1 (relu)
2022-11-23T01:30:20.2852467Z              12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2852540Z              14 LOAD_FAST                1 (b)
2022-11-23T01:30:20.2852614Z              16 BINARY_ADD
2022-11-23T01:30:20.2852699Z              18 CALL_METHOD              1
2022-11-23T01:30:20.2852790Z              20 LOAD_CONST               1 (10)
2022-11-23T01:30:20.2852871Z              22 BINARY_TRUE_DIVIDE
2022-11-23T01:30:20.2852958Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.2853032Z              26 RETURN_VALUE
2022-11-23T01:30:20.2853082Z  
2022-11-23T01:30:20.2853096Z 
2022-11-23T01:30:20.2853399Z [2022-11-23 01:26:40,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:995
2022-11-23T01:30:20.2853617Z [2022-11-23 01:26:40,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.2853977Z [2022-11-23 01:26:40,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2854301Z [2022-11-23 01:26:40,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2854677Z [2022-11-23 01:26:40,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2854924Z [2022-11-23 01:26:40,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.2855317Z [2022-11-23 01:26:40,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2855661Z [2022-11-23 01:26:40,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2856032Z [2022-11-23 01:26:40,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2856593Z [2022-11-23 01:26:40,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2856973Z [2022-11-23 01:26:40,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2857243Z [2022-11-23 01:26:40,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2857548Z [2022-11-23 01:26:40,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2857812Z [2022-11-23 01:26:40,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2858056Z [2022-11-23 01:26:40,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2858433Z [2022-11-23 01:26:40,196] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19bc00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 994>
2022-11-23T01:30:20.2858676Z [2022-11-23 01:26:40,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2858908Z [2022-11-23 01:26:40,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2859158Z [2022-11-23 01:26:40,197] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2859404Z [2022-11-23 01:26:40,201] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2859592Z [2022-11-23 01:26:40,202] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2859715Z  __compiled_fn_341 <eval_with_key>.2863 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2859806Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2859892Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.2860112Z call_function, relu, <built-in method relu of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.2860288Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.2860509Z call_function, relu_1, <built-in method relu of type object at 0x7ff5d7c59c60>, (add,), {}
2022-11-23T01:30:20.2860697Z call_function, truediv, <built-in function truediv>, (relu_1, 10), {}
2022-11-23T01:30:20.2860804Z output, output, output, ((relu, truediv),), {}
2022-11-23T01:30:20.2860809Z 
2022-11-23T01:30:20.2861123Z [2022-11-23 01:26:40,202] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2861217Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2861306Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2861438Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2861530Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2861612Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2861698Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2861773Z              12 RETURN_VALUE
2022-11-23T01:30:20.2861778Z 
2022-11-23T01:30:20.2861826Z  
2022-11-23T01:30:20.2862147Z [2022-11-23 01:26:40,202] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2862256Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_341)
2022-11-23T01:30:20.2862345Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2862435Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2862545Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2862630Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2862706Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2862782Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.2862868Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.2862969Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2863070Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2863158Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2863231Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2863329Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2863403Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2863476Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.2863561Z              30 BUILD_TUPLE              2
2022-11-23T01:30:20.2863634Z              32 RETURN_VALUE
2022-11-23T01:30:20.2863639Z 
2022-11-23T01:30:20.2863699Z  
2022-11-23T01:30:20.2863882Z [2022-11-23 01:26:40,203] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2863949Z  - 
2022-11-23T01:30:20.2864056Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2864119Z             {
2022-11-23T01:30:20.2864259Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2864442Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.2864557Z                 'obj_weakref': None
2022-11-23T01:30:20.2864779Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2864841Z             }
2022-11-23T01:30:20.2864891Z             
2022-11-23T01:30:20.2864958Z  - 
2022-11-23T01:30:20.2865080Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2865141Z             {
2022-11-23T01:30:20.2865280Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2865385Z                 'code': None,
2022-11-23T01:30:20.2865598Z                 'obj_weakref': <weakref at 0x7ff57efb9fd0; to 'Tensor' at 0x7ff57ff33420>
2022-11-23T01:30:20.2865842Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2865904Z             }
2022-11-23T01:30:20.2865965Z             
2022-11-23T01:30:20.2866033Z  - 
2022-11-23T01:30:20.2866154Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.2866215Z             {
2022-11-23T01:30:20.2866355Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2866447Z                 'code': None,
2022-11-23T01:30:20.2866658Z                 'obj_weakref': <weakref at 0x7ff58fcd63e0; to 'Tensor' at 0x7ff57ee131f0>
2022-11-23T01:30:20.2866906Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2866968Z             }
2022-11-23T01:30:20.2867029Z             
2022-11-23T01:30:20.2867097Z  - 
2022-11-23T01:30:20.2867226Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2867279Z             {
2022-11-23T01:30:20.2867411Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2867624Z                 'code': ['___check_obj_id(model, 140693155902032)'],
2022-11-23T01:30:20.2867744Z                 'obj_weakref': None
2022-11-23T01:30:20.2867972Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2868034Z             }
2022-11-23T01:30:20.2868094Z             
2022-11-23T01:30:20.2868150Z  - 
2022-11-23T01:30:20.2868272Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2868333Z             {
2022-11-23T01:30:20.2868466Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2868682Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2868798Z                 'obj_weakref': None
2022-11-23T01:30:20.2869016Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2869094Z             }
2022-11-23T01:30:20.2869155Z             
2022-11-23T01:30:20.2869222Z  - 
2022-11-23T01:30:20.2869355Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.2869416Z             {
2022-11-23T01:30:20.2869533Z                 'guard_types': None,
2022-11-23T01:30:20.2869637Z                 'code': None,
2022-11-23T01:30:20.2869740Z                 'obj_weakref': None
2022-11-23T01:30:20.2869859Z                 'guarded_class': None
2022-11-23T01:30:20.2869921Z             }
2022-11-23T01:30:20.2869985Z             
2022-11-23T01:30:20.2870245Z [2022-11-23 01:26:40,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 334
2022-11-23T01:30:20.2870611Z [2022-11-23 01:26:41,611] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2j/c2jp3bfkhcaizfs75itxdbkeg4cfymcuhtvv5cxlatqldeaakqmn.py
2022-11-23T01:30:20.2870874Z [2022-11-23 01:26:41,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 334
2022-11-23T01:30:20.2870882Z 
2022-11-23T01:30:20.2870975Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2871031Z import torch
2022-11-23T01:30:20.2871101Z import random
2022-11-23T01:30:20.2871215Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2871333Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2871339Z 
2022-11-23T01:30:20.2871414Z aten = torch.ops.aten
2022-11-23T01:30:20.2871544Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2871638Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2871643Z 
2022-11-23T01:30:20.2871647Z 
2022-11-23T01:30:20.2871768Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2871972Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2872090Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2872192Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.2872293Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2872387Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.2872449Z {
2022-11-23T01:30:20.2872544Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2872593Z     {
2022-11-23T01:30:20.2872671Z         #pragma omp for 
2022-11-23T01:30:20.2872751Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.2872812Z         {
2022-11-23T01:30:20.2872946Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.2873076Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.2873201Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:30:20.2873273Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.2873394Z             auto tmp4 = at::vec::clamp_min(tmp3, decltype(tmp3)(0));
2022-11-23T01:30:20.2873525Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:30:20.2873610Z             auto tmp6 = tmp4 / tmp5;
2022-11-23T01:30:20.2873699Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.2873896Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.2873961Z         }
2022-11-23T01:30:20.2874043Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.2874127Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.2874189Z         {
2022-11-23T01:30:20.2874271Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2874353Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:20.2874440Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:30:20.2874522Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.2874595Z             auto tmp4 = tmp3 * (tmp3>0);
2022-11-23T01:30:20.2874693Z             auto tmp5 = static_cast<float>(10);
2022-11-23T01:30:20.2874773Z             auto tmp6 = tmp4 / tmp5;
2022-11-23T01:30:20.2874854Z             out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.2874961Z             out_ptr1[i0] = tmp6;
2022-11-23T01:30:20.2875023Z         }
2022-11-23T01:30:20.2875085Z     }
2022-11-23T01:30:20.2875132Z }
2022-11-23T01:30:20.2875213Z ''')
2022-11-23T01:30:20.2875220Z 
2022-11-23T01:30:20.2875225Z 
2022-11-23T01:30:20.2875316Z async_compile.wait(globals())
2022-11-23T01:30:20.2875388Z del async_compile
2022-11-23T01:30:20.2875392Z 
2022-11-23T01:30:20.2875462Z def call(args):
2022-11-23T01:30:20.2875534Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.2875603Z     args.clear()
2022-11-23T01:30:20.2875786Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2875977Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2876168Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.2876235Z     del arg0_1
2022-11-23T01:30:20.2876300Z     del arg1_1
2022-11-23T01:30:20.2876374Z     return (buf0, buf1, )
2022-11-23T01:30:20.2876381Z 
2022-11-23T01:30:20.2876385Z 
2022-11-23T01:30:20.2876458Z if __name__ == "__main__":
2022-11-23T01:30:20.2876573Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2876683Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2876875Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2877069Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2877182Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.2877187Z 
2022-11-23T01:30:20.2877250Z ok (1.427s)
2022-11-23T01:30:20.2877557Z   test_remainder_cpu (__main__.CpuTests) ... [2022-11-23 01:26:41,617] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2877870Z [2022-11-23 01:26:41,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2878094Z [2022-11-23 01:26:41,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2878350Z [2022-11-23 01:26:41,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2878615Z [2022-11-23 01:26:41,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2878935Z [2022-11-23 01:26:41,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2879281Z [2022-11-23 01:26:41,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2879606Z [2022-11-23 01:26:41,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2879981Z [2022-11-23 01:26:41,618] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f7100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759> 
2022-11-23T01:30:20.2880113Z  2761           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2880216Z                2 LOAD_METHOD              1 (remainder)
2022-11-23T01:30:20.2880307Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2880398Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.2880473Z                8 CALL_METHOD              2
2022-11-23T01:30:20.2880492Z 
2022-11-23T01:30:20.2880574Z 2762          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2880672Z               12 LOAD_METHOD              1 (remainder)
2022-11-23T01:30:20.2880762Z               14 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2880849Z               16 LOAD_CONST               1 (1)
2022-11-23T01:30:20.2880922Z               18 BINARY_ADD
2022-11-23T01:30:20.2881008Z               20 LOAD_FAST                1 (b)
2022-11-23T01:30:20.2881125Z               22 LOAD_CONST               1 (1)
2022-11-23T01:30:20.2881193Z               24 BINARY_SUBTRACT
2022-11-23T01:30:20.2881282Z               26 CALL_METHOD              2
2022-11-23T01:30:20.2881287Z 
2022-11-23T01:30:20.2881377Z 2763          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2881473Z               30 LOAD_METHOD              1 (remainder)
2022-11-23T01:30:20.2881560Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2881648Z               34 LOAD_CONST               1 (1)
2022-11-23T01:30:20.2881728Z               36 BINARY_SUBTRACT
2022-11-23T01:30:20.2881802Z               38 LOAD_FAST                1 (b)
2022-11-23T01:30:20.2881888Z               40 LOAD_CONST               1 (1)
2022-11-23T01:30:20.2881960Z               42 BINARY_ADD
2022-11-23T01:30:20.2882049Z               44 CALL_METHOD              2
2022-11-23T01:30:20.2882054Z 
2022-11-23T01:30:20.2882141Z 2760          46 BUILD_TUPLE              3
2022-11-23T01:30:20.2882217Z               48 RETURN_VALUE
2022-11-23T01:30:20.2882276Z  
2022-11-23T01:30:20.2882281Z 
2022-11-23T01:30:20.2882604Z [2022-11-23 01:26:41,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2761
2022-11-23T01:30:20.2882810Z [2022-11-23 01:26:41,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.2883182Z [2022-11-23 01:26:41,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2883512Z [2022-11-23 01:26:41,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2883866Z [2022-11-23 01:26:41,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2884259Z [2022-11-23 01:26:41,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2884574Z [2022-11-23 01:26:41,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2762
2022-11-23T01:30:20.2884821Z [2022-11-23 01:26:41,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.2885225Z [2022-11-23 01:26:41,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2885582Z [2022-11-23 01:26:41,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2886001Z [2022-11-23 01:26:41,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2886435Z [2022-11-23 01:26:41,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2886817Z [2022-11-23 01:26:41,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2887228Z [2022-11-23 01:26:41,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2887681Z [2022-11-23 01:26:41,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2888135Z [2022-11-23 01:26:41,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2888451Z [2022-11-23 01:26:41,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2763
2022-11-23T01:30:20.2888722Z [2022-11-23 01:26:41,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2889152Z [2022-11-23 01:26:41,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2889543Z [2022-11-23 01:26:41,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.2889959Z [2022-11-23 01:26:41,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2890424Z [2022-11-23 01:26:41,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2890830Z [2022-11-23 01:26:41,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.2891279Z [2022-11-23 01:26:41,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2891764Z [2022-11-23 01:26:41,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2892203Z [2022-11-23 01:26:41,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2892513Z [2022-11-23 01:26:41,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2760
2022-11-23T01:30:20.2892808Z [2022-11-23 01:26:41,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2893080Z [2022-11-23 01:26:41,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2893444Z [2022-11-23 01:26:41,626] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f7100, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2759>
2022-11-23T01:30:20.2893690Z [2022-11-23 01:26:41,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2893922Z [2022-11-23 01:26:41,626] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2894177Z [2022-11-23 01:26:41,627] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2894422Z [2022-11-23 01:26:41,633] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2894636Z [2022-11-23 01:26:41,633] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2894771Z  __compiled_fn_342 <eval_with_key>.2869 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2894859Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2894946Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.2895187Z call_function, remainder, <built-in method remainder of type object at 0x7ff5d7c59c60>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.2895356Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.2895525Z call_function, sub, <built-in function sub>, (ex_1_, 1), {}
2022-11-23T01:30:20.2895775Z call_function, remainder_1, <built-in method remainder of type object at 0x7ff5d7c59c60>, (add, sub), {}
2022-11-23T01:30:20.2895944Z call_function, sub_1, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:30:20.2896118Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:20.2896377Z call_function, remainder_2, <built-in method remainder of type object at 0x7ff5d7c59c60>, (sub_1, add_1), {}
2022-11-23T01:30:20.2896637Z output, output, output, ((remainder, remainder_1, remainder_2),), {}
2022-11-23T01:30:20.2896643Z 
2022-11-23T01:30:20.2896960Z [2022-11-23 01:26:41,634] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2897052Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2897146Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2897232Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2897326Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2897411Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2897498Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2897574Z              12 RETURN_VALUE
2022-11-23T01:30:20.2897579Z 
2022-11-23T01:30:20.2897627Z  
2022-11-23T01:30:20.2897950Z [2022-11-23 01:26:41,634] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2898060Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_342)
2022-11-23T01:30:20.2898150Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2898240Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2898315Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2898399Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2898486Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2898549Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.2898634Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.2898735Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2898835Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2898922Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2898999Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2899096Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2899171Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2899297Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.2899397Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2899483Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2899558Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.2899647Z              36 BUILD_TUPLE              3
2022-11-23T01:30:20.2899720Z              38 RETURN_VALUE
2022-11-23T01:30:20.2899725Z 
2022-11-23T01:30:20.2899772Z  
2022-11-23T01:30:20.2899956Z [2022-11-23 01:26:41,634] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2900026Z  - 
2022-11-23T01:30:20.2900144Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2900207Z             {
2022-11-23T01:30:20.2900346Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2900570Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.2900677Z                 'obj_weakref': None
2022-11-23T01:30:20.2900905Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2900969Z             }
2022-11-23T01:30:20.2901030Z             
2022-11-23T01:30:20.2901098Z  - 
2022-11-23T01:30:20.2901221Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2901282Z             {
2022-11-23T01:30:20.2901412Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2901514Z                 'code': None,
2022-11-23T01:30:20.2901725Z                 'obj_weakref': <weakref at 0x7ff57ef61a30; to 'Tensor' at 0x7ff5a8377790>
2022-11-23T01:30:20.2901976Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2902039Z             }
2022-11-23T01:30:20.2902100Z             
2022-11-23T01:30:20.2902170Z  - 
2022-11-23T01:30:20.2902278Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.2902340Z             {
2022-11-23T01:30:20.2902481Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2902589Z                 'code': None,
2022-11-23T01:30:20.2902800Z                 'obj_weakref': <weakref at 0x7ff57ef60c70; to 'Tensor' at 0x7ff58fdf0310>
2022-11-23T01:30:20.2903052Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2903111Z             }
2022-11-23T01:30:20.2903161Z             
2022-11-23T01:30:20.2903230Z  - 
2022-11-23T01:30:20.2903360Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2903423Z             {
2022-11-23T01:30:20.2903554Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2903722Z                 'code': ['___check_obj_id(model, 140693067315904)'],
2022-11-23T01:30:20.2903840Z                 'obj_weakref': None
2022-11-23T01:30:20.2904054Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2904118Z             }
2022-11-23T01:30:20.2904178Z             
2022-11-23T01:30:20.2904246Z  - 
2022-11-23T01:30:20.2904368Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2904431Z             {
2022-11-23T01:30:20.2904564Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2904764Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2904881Z                 'obj_weakref': None
2022-11-23T01:30:20.2905102Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2905165Z             }
2022-11-23T01:30:20.2905226Z             
2022-11-23T01:30:20.2905292Z  - 
2022-11-23T01:30:20.2905423Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.2905473Z             {
2022-11-23T01:30:20.2905588Z                 'guard_types': None,
2022-11-23T01:30:20.2905694Z                 'code': None,
2022-11-23T01:30:20.2905810Z                 'obj_weakref': None
2022-11-23T01:30:20.2905932Z                 'guarded_class': None
2022-11-23T01:30:20.2906027Z             }
2022-11-23T01:30:20.2906090Z             
2022-11-23T01:30:20.2906337Z [2022-11-23 01:26:41,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 335
2022-11-23T01:30:20.2906713Z [2022-11-23 01:26:43,052] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dl/cdlqvczqtweynnzcdyjaxxpestqegqxzvrgqybpucm5fwst63mu7.py
2022-11-23T01:30:20.2906983Z [2022-11-23 01:26:43,052] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 335
2022-11-23T01:30:20.2906990Z 
2022-11-23T01:30:20.2907084Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2907154Z import torch
2022-11-23T01:30:20.2907222Z import random
2022-11-23T01:30:20.2907337Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2907484Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2907489Z 
2022-11-23T01:30:20.2907555Z aten = torch.ops.aten
2022-11-23T01:30:20.2907688Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2907778Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2907784Z 
2022-11-23T01:30:20.2907789Z 
2022-11-23T01:30:20.2907922Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2908126Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2908244Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2908346Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.2908443Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.2908524Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.2908617Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.2908679Z {
2022-11-23T01:30:20.2908776Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2908838Z     {
2022-11-23T01:30:20.2908914Z         #pragma omp for 
2022-11-23T01:30:20.2908995Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:20.2909047Z         {
2022-11-23T01:30:20.2909111Z             {
2022-11-23T01:30:20.2909175Z                 {
2022-11-23T01:30:20.2909267Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.2909355Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.2909450Z                     auto tmp2 = mod(tmp0, tmp1);
2022-11-23T01:30:20.2909527Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:30:20.2909648Z                     auto tmp4 = ((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))) ? tmp3 : tmp2;
2022-11-23T01:30:20.2909750Z                     auto tmp5 = static_cast<float>(1);
2022-11-23T01:30:20.2909838Z                     auto tmp6 = tmp0 + tmp5;
2022-11-23T01:30:20.2909971Z                     auto tmp7 = tmp1 - tmp5;
2022-11-23T01:30:20.2910064Z                     auto tmp8 = mod(tmp6, tmp7);
2022-11-23T01:30:20.2910153Z                     auto tmp9 = tmp8 + tmp7;
2022-11-23T01:30:20.2910278Z                     auto tmp10 = ((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))) ? tmp9 : tmp8;
2022-11-23T01:30:20.2910401Z                     auto tmp11 = tmp0 - tmp5;
2022-11-23T01:30:20.2910491Z                     auto tmp12 = tmp1 + tmp5;
2022-11-23T01:30:20.2910586Z                     auto tmp13 = mod(tmp11, tmp12);
2022-11-23T01:30:20.2910676Z                     auto tmp14 = tmp13 + tmp12;
2022-11-23T01:30:20.2910799Z                     auto tmp15 = ((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))) ? tmp14 : tmp13;
2022-11-23T01:30:20.2910887Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.2910970Z                     out_ptr1[i0] = tmp10;
2022-11-23T01:30:20.2911041Z                     out_ptr2[i0] = tmp15;
2022-11-23T01:30:20.2911105Z                 }
2022-11-23T01:30:20.2911168Z             }
2022-11-23T01:30:20.2911229Z         }
2022-11-23T01:30:20.2911291Z     }
2022-11-23T01:30:20.2911351Z }
2022-11-23T01:30:20.2911428Z ''')
2022-11-23T01:30:20.2911434Z 
2022-11-23T01:30:20.2911438Z 
2022-11-23T01:30:20.2911516Z async_compile.wait(globals())
2022-11-23T01:30:20.2911628Z del async_compile
2022-11-23T01:30:20.2911634Z 
2022-11-23T01:30:20.2911704Z def call(args):
2022-11-23T01:30:20.2911780Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.2911852Z     args.clear()
2022-11-23T01:30:20.2912046Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2912238Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2912421Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2912623Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.2912690Z     del arg0_1
2022-11-23T01:30:20.2912755Z     del arg1_1
2022-11-23T01:30:20.2912836Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:20.2912869Z 
2022-11-23T01:30:20.2912873Z 
2022-11-23T01:30:20.2912950Z if __name__ == "__main__":
2022-11-23T01:30:20.2913065Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2913188Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2913379Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2913557Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2913670Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.2913676Z 
2022-11-23T01:30:20.2913742Z ok (1.441s)
2022-11-23T01:30:20.2914140Z   test_repeat_cpu (__main__.CpuTests) ... [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2914455Z [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2914674Z [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2914927Z [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2915204Z [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2915525Z [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2915859Z [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2916179Z [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2916552Z [2022-11-23 01:26:43,058] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d112ce0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152> 
2022-11-23T01:30:20.2916650Z  2154           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.2916748Z                2 LOAD_METHOD              0 (repeat)
2022-11-23T01:30:20.2916838Z                4 LOAD_CONST               1 (2)
2022-11-23T01:30:20.2916926Z                6 LOAD_CONST               1 (2)
2022-11-23T01:30:20.2917012Z                8 LOAD_CONST               2 (3)
2022-11-23T01:30:20.2917087Z               10 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2917175Z               12 CALL_METHOD              4
2022-11-23T01:30:20.2917181Z 
2022-11-23T01:30:20.2917270Z 2155          14 LOAD_FAST                0 (x)
2022-11-23T01:30:20.2917364Z               16 LOAD_METHOD              0 (repeat)
2022-11-23T01:30:20.2917448Z               18 LOAD_CONST               4 (8)
2022-11-23T01:30:20.2917533Z               20 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2917622Z               22 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2917705Z               24 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2917843Z               26 CALL_METHOD              4
2022-11-23T01:30:20.2917848Z 
2022-11-23T01:30:20.2917934Z 2156          28 LOAD_FAST                0 (x)
2022-11-23T01:30:20.2918031Z               30 LOAD_METHOD              0 (repeat)
2022-11-23T01:30:20.2918119Z               32 LOAD_CONST               1 (2)
2022-11-23T01:30:20.2918207Z               34 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2918291Z               36 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2918375Z               38 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2918446Z               40 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2918531Z               42 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2918617Z               44 CALL_METHOD              6
2022-11-23T01:30:20.2918622Z 
2022-11-23T01:30:20.2918741Z 2153          46 BUILD_TUPLE              3
2022-11-23T01:30:20.2918817Z               48 RETURN_VALUE
2022-11-23T01:30:20.2918880Z  
2022-11-23T01:30:20.2918886Z 
2022-11-23T01:30:20.2919208Z [2022-11-23 01:26:43,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2154
2022-11-23T01:30:20.2919417Z [2022-11-23 01:26:43,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.2919653Z [2022-11-23 01:26:43,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable()]
2022-11-23T01:30:20.2919929Z [2022-11-23 01:26:43,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:30:20.2920241Z [2022-11-23 01:26:43,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:30:20.2920587Z [2022-11-23 01:26:43,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2920975Z [2022-11-23 01:26:43,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2921408Z [2022-11-23 01:26:43,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2921727Z [2022-11-23 01:26:43,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2155
2022-11-23T01:30:20.2921961Z [2022-11-23 01:26:43,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.2922231Z [2022-11-23 01:26:43,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2922539Z [2022-11-23 01:26:43,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:30:20.2922876Z [2022-11-23 01:26:43,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:30:20.2923251Z [2022-11-23 01:26:43,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2923656Z [2022-11-23 01:26:43,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2924111Z [2022-11-23 01:26:43,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2924452Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2156
2022-11-23T01:30:20.2924715Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2925013Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2925344Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:30:20.2925708Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:30:20.2926145Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2926590Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2927075Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2927594Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2928164Z [2022-11-23 01:26:43,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2928478Z [2022-11-23 01:26:43,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2153
2022-11-23T01:30:20.2928776Z [2022-11-23 01:26:43,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2929023Z [2022-11-23 01:26:43,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2929391Z [2022-11-23 01:26:43,063] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d112ce0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2152>
2022-11-23T01:30:20.2929642Z [2022-11-23 01:26:43,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2929876Z [2022-11-23 01:26:43,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2930128Z [2022-11-23 01:26:43,065] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2930378Z [2022-11-23 01:26:43,068] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2930567Z [2022-11-23 01:26:43,068] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2930703Z  __compiled_fn_343 <eval_with_key>.2875 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2930794Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2930904Z call_method, repeat, repeat, (ex_0_, 2, 2, 3, 1), {}
2022-11-23T01:30:20.2931001Z call_method, repeat_1, repeat, (ex_0_, 8, 1, 1, 1), {}
2022-11-23T01:30:20.2931115Z call_method, repeat_2, repeat, (ex_0_, 2, 1, 1, 1, 1, 1), {}
2022-11-23T01:30:20.2931269Z output, output, output, ((repeat, repeat_1, repeat_2),), {}
2022-11-23T01:30:20.2931275Z 
2022-11-23T01:30:20.2931598Z [2022-11-23 01:26:43,068] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2931692Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2931783Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2931871Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2931967Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2932041Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2932129Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2932206Z              12 RETURN_VALUE
2022-11-23T01:30:20.2932238Z 
2022-11-23T01:30:20.2932302Z  
2022-11-23T01:30:20.2932624Z [2022-11-23 01:26:43,068] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2932733Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_343)
2022-11-23T01:30:20.2932824Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2932914Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2932979Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2933067Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2933170Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2933273Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2933362Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2933438Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2933538Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2933616Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2933692Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2933793Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2933881Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2933956Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.2934045Z              30 BUILD_TUPLE              3
2022-11-23T01:30:20.2934120Z              32 RETURN_VALUE
2022-11-23T01:30:20.2934127Z 
2022-11-23T01:30:20.2934174Z  
2022-11-23T01:30:20.2934357Z [2022-11-23 01:26:43,069] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2934428Z  - 
2022-11-23T01:30:20.2934551Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2934615Z             {
2022-11-23T01:30:20.2934754Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2934942Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2935049Z                 'obj_weakref': None
2022-11-23T01:30:20.2935273Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2935340Z             }
2022-11-23T01:30:20.2935407Z             
2022-11-23T01:30:20.2935476Z  - 
2022-11-23T01:30:20.2935600Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2935664Z             {
2022-11-23T01:30:20.2935794Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2935900Z                 'code': None,
2022-11-23T01:30:20.2936111Z                 'obj_weakref': <weakref at 0x7ff58ff4a700; to 'Tensor' at 0x7ff5a8377790>
2022-11-23T01:30:20.2936366Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2936753Z             }
2022-11-23T01:30:20.2936816Z             
2022-11-23T01:30:20.2936887Z  - 
2022-11-23T01:30:20.2937004Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2937068Z             {
2022-11-23T01:30:20.2937205Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2937374Z                 'code': ['___check_obj_id(model, 140692658623904)'],
2022-11-23T01:30:20.2937492Z                 'obj_weakref': None
2022-11-23T01:30:20.2937776Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2937840Z             }
2022-11-23T01:30:20.2937890Z             
2022-11-23T01:30:20.2937959Z  - 
2022-11-23T01:30:20.2938080Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2938143Z             {
2022-11-23T01:30:20.2938279Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2938496Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2938614Z                 'obj_weakref': None
2022-11-23T01:30:20.2938821Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2938884Z             }
2022-11-23T01:30:20.2938985Z             
2022-11-23T01:30:20.2939247Z [2022-11-23 01:26:43,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 336
2022-11-23T01:30:20.2939618Z [2022-11-23 01:26:44,534] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ya/cyaawuzfhai72ahyqvdy4mspsmf4x7t3dr6jbbalqhd7zqomw6pm.py
2022-11-23T01:30:20.2939885Z [2022-11-23 01:26:44,535] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 336
2022-11-23T01:30:20.2939890Z 
2022-11-23T01:30:20.2939984Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2940053Z import torch
2022-11-23T01:30:20.2940109Z import random
2022-11-23T01:30:20.2940223Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2940342Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2940347Z 
2022-11-23T01:30:20.2940424Z aten = torch.ops.aten
2022-11-23T01:30:20.2940559Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2940649Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2940655Z 
2022-11-23T01:30:20.2940659Z 
2022-11-23T01:30:20.2940790Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.2940995Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.2941101Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.2941202Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.2941263Z {
2022-11-23T01:30:20.2941359Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.2941420Z     {
2022-11-23T01:30:20.2941507Z         #pragma omp for  collapse(2)
2022-11-23T01:30:20.2941588Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.2941638Z         {
2022-11-23T01:30:20.2941720Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.2941782Z             {
2022-11-23T01:30:20.2941861Z                 #pragma GCC ivdep
2022-11-23T01:30:20.2941950Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:30:20.2942016Z                 {
2022-11-23T01:30:20.2942104Z                     for(long i3=0; i3<1; i3+=1)
2022-11-23T01:30:20.2942157Z                     {
2022-11-23T01:30:20.2942320Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i3) + (8*(i2 % 4)) + (32*(i1 % 2)));
2022-11-23T01:30:20.2942438Z                         tmp0.store(out_ptr0 + (8*i2) + (8*i3) + (96*i1) + (384*i0));
2022-11-23T01:30:20.2942503Z                     }
2022-11-23T01:30:20.2942599Z                     #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.2942686Z                     for(long i3=8; i3<8; i3+=1)
2022-11-23T01:30:20.2942752Z                     {
2022-11-23T01:30:20.2942852Z                         auto tmp0 = in_ptr0[i3 + (8*(i2 % 4)) + (32*(i1 % 2))];
2022-11-23T01:30:20.2942960Z                         out_ptr0[i3 + (8*i2) + (96*i1) + (384*i0)] = tmp0;
2022-11-23T01:30:20.2943024Z                     }
2022-11-23T01:30:20.2943087Z                 }
2022-11-23T01:30:20.2943152Z             }
2022-11-23T01:30:20.2943213Z         }
2022-11-23T01:30:20.2943274Z     }
2022-11-23T01:30:20.2943321Z }
2022-11-23T01:30:20.2943398Z ''')
2022-11-23T01:30:20.2943403Z 
2022-11-23T01:30:20.2943436Z 
2022-11-23T01:30:20.2943526Z async_compile.wait(globals())
2022-11-23T01:30:20.2943597Z del async_compile
2022-11-23T01:30:20.2943601Z 
2022-11-23T01:30:20.2943669Z def call(args):
2022-11-23T01:30:20.2943736Z     arg0_1, = args
2022-11-23T01:30:20.2943806Z     args.clear()
2022-11-23T01:30:20.2944008Z     buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2944140Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.2944286Z     return (buf0, as_strided(arg0_1, (8, 2, 4, 8), (0, 32, 8, 1)), as_strided(arg0_1, (2, 1, 1, 2, 4, 8), (0, 0, 0, 32, 8, 1)), )
2022-11-23T01:30:20.2944292Z 
2022-11-23T01:30:20.2944297Z 
2022-11-23T01:30:20.2944371Z if __name__ == "__main__":
2022-11-23T01:30:20.2944511Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2944632Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2944847Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2944954Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.2944959Z 
2022-11-23T01:30:20.2945024Z ok (1.482s)
2022-11-23T01:30:20.2945323Z   test_roi_align_cpu (__main__.CpuTests) ... [2022-11-23 01:26:45,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2945637Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2945852Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2946103Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2946382Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2946703Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2947046Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2947368Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2947740Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e28c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3335> 
2022-11-23T01:30:20.2947834Z  3336           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.2947917Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.2948018Z                4 LOAD_ATTR                2 (torchvision)
2022-11-23T01:30:20.2948116Z                6 LOAD_METHOD              3 (roi_align)
2022-11-23T01:30:20.2948205Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2948292Z               10 LOAD_FAST                1 (b)
2022-11-23T01:30:20.2948384Z               12 LOAD_CONST               1 (0.25)
2022-11-23T01:30:20.2948470Z               14 LOAD_CONST               2 (7)
2022-11-23T01:30:20.2948557Z               16 LOAD_CONST               2 (7)
2022-11-23T01:30:20.2948631Z               18 LOAD_CONST               3 (2)
2022-11-23T01:30:20.2948721Z               20 LOAD_CONST               4 (False)
2022-11-23T01:30:20.2948808Z               22 CALL_METHOD              7
2022-11-23T01:30:20.2948883Z               24 RETURN_VALUE
2022-11-23T01:30:20.2948944Z  
2022-11-23T01:30:20.2948949Z 
2022-11-23T01:30:20.2949263Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3336
2022-11-23T01:30:20.2949511Z [2022-11-23 01:26:45,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.2949875Z [2022-11-23 01:26:45,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.2950167Z [2022-11-23 01:26:45,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR torchvision [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.2950490Z [2022-11-23 01:26:45,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roi_align [TorchVariable(<module 'torch.ops.torchvision' from 'torch.ops'>)]
2022-11-23T01:30:20.2950757Z [2022-11-23 01:26:45,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(torchvision.roi_align)]
2022-11-23T01:30:20.2951056Z [2022-11-23 01:26:45,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(torchvision.roi_align), TensorVariable()]
2022-11-23T01:30:20.2951411Z [2022-11-23 01:26:45,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.25 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2951771Z [2022-11-23 01:26:45,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.2952174Z [2022-11-23 01:26:45,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:30:20.2952613Z [2022-11-23 01:26:45,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2953103Z [2022-11-23 01:26:45,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2953623Z [2022-11-23 01:26:45,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.2953972Z [2022-11-23 01:26:45,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2954352Z [2022-11-23 01:26:45,527] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e28c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3335>
2022-11-23T01:30:20.2954599Z [2022-11-23 01:26:45,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.2954824Z [2022-11-23 01:26:45,527] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2955078Z [2022-11-23 01:26:45,541] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2955328Z [2022-11-23 01:26:45,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2955513Z [2022-11-23 01:26:45,968] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2955648Z  __compiled_fn_344 <eval_with_key>.2881 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2955738Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2955823Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.2955968Z call_function, roi_align, torchvision.roi_align, (ex_0_, ex_1_, 0.25, 7, 7, 2, False), {}
2022-11-23T01:30:20.2956059Z output, output, output, ((roi_align,),), {}
2022-11-23T01:30:20.2956068Z 
2022-11-23T01:30:20.2956433Z [2022-11-23 01:26:45,968] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2956526Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2956614Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2956700Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2956792Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2956875Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2956960Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2957023Z              12 RETURN_VALUE
2022-11-23T01:30:20.2957028Z 
2022-11-23T01:30:20.2957087Z  
2022-11-23T01:30:20.2957404Z [2022-11-23 01:26:45,969] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2957511Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_344)
2022-11-23T01:30:20.2957630Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2957720Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2957798Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2957885Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2957960Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2958032Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.2958116Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.2958205Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.2958279Z              18 RETURN_VALUE
2022-11-23T01:30:20.2958284Z 
2022-11-23T01:30:20.2958343Z  
2022-11-23T01:30:20.2958526Z [2022-11-23 01:26:45,969] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2958584Z  - 
2022-11-23T01:30:20.2958700Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2958764Z             {
2022-11-23T01:30:20.2958906Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2959092Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.2959211Z                 'obj_weakref': None
2022-11-23T01:30:20.2959435Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2959487Z             }
2022-11-23T01:30:20.2959552Z             
2022-11-23T01:30:20.2959621Z  - 
2022-11-23T01:30:20.2959745Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2959806Z             {
2022-11-23T01:30:20.2959946Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2960051Z                 'code': None,
2022-11-23T01:30:20.2960250Z                 'obj_weakref': <weakref at 0x7ff57ef61a30; to 'Tensor' at 0x7ff57eda3470>
2022-11-23T01:30:20.2960503Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2960566Z             }
2022-11-23T01:30:20.2960632Z             
2022-11-23T01:30:20.2960699Z  - 
2022-11-23T01:30:20.2960821Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.2960886Z             {
2022-11-23T01:30:20.2961018Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2961121Z                 'code': None,
2022-11-23T01:30:20.2961331Z                 'obj_weakref': <weakref at 0x7ff57ef63920; to 'Tensor' at 0x7ff57ee11990>
2022-11-23T01:30:20.2961582Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2961646Z             }
2022-11-23T01:30:20.2961709Z             
2022-11-23T01:30:20.2961777Z  - 
2022-11-23T01:30:20.2961893Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2961956Z             {
2022-11-23T01:30:20.2962091Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2962257Z                 'code': ['___check_obj_id(model, 140693087079584)'],
2022-11-23T01:30:20.2962373Z                 'obj_weakref': None
2022-11-23T01:30:20.2962602Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2962665Z             }
2022-11-23T01:30:20.2962746Z             
2022-11-23T01:30:20.2962815Z  - 
2022-11-23T01:30:20.2962935Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2962996Z             {
2022-11-23T01:30:20.2963131Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2963346Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2963462Z                 'obj_weakref': None
2022-11-23T01:30:20.2963669Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.2963730Z             }
2022-11-23T01:30:20.2963788Z             
2022-11-23T01:30:20.2963856Z  - 
2022-11-23T01:30:20.2963985Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.2964047Z             {
2022-11-23T01:30:20.2964163Z                 'guard_types': None,
2022-11-23T01:30:20.2964287Z                 'code': None,
2022-11-23T01:30:20.2964401Z                 'obj_weakref': None
2022-11-23T01:30:20.2964524Z                 'guarded_class': None
2022-11-23T01:30:20.2964588Z             }
2022-11-23T01:30:20.2964648Z             
2022-11-23T01:30:20.2964908Z [2022-11-23 01:26:46,399] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 337
2022-11-23T01:30:20.2965166Z [2022-11-23 01:26:46,827] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.torchvision.roi_align
2022-11-23T01:30:20.2965516Z [2022-11-23 01:26:46,829] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i4/ci4pltn6avz2d55jzdstupuq6vnm6xd3a6vadxgy4bmwozbvz5uk.py
2022-11-23T01:30:20.2965777Z [2022-11-23 01:26:46,829] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 337
2022-11-23T01:30:20.2965783Z 
2022-11-23T01:30:20.2965874Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.2965944Z import torch
2022-11-23T01:30:20.2966013Z import random
2022-11-23T01:30:20.2966125Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.2966246Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.2966251Z 
2022-11-23T01:30:20.2966327Z aten = torch.ops.aten
2022-11-23T01:30:20.2966446Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.2966537Z async_compile = AsyncCompile()
2022-11-23T01:30:20.2966542Z 
2022-11-23T01:30:20.2966546Z 
2022-11-23T01:30:20.2966632Z async_compile.wait(globals())
2022-11-23T01:30:20.2966703Z del async_compile
2022-11-23T01:30:20.2966708Z 
2022-11-23T01:30:20.2966777Z def call(args):
2022-11-23T01:30:20.2966850Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.2966920Z     args.clear()
2022-11-23T01:30:20.2967060Z     buf0 = torch.ops.torchvision.roi_align(arg0_1, arg1_1, 0.25, 7, 7, 2, False)
2022-11-23T01:30:20.2967115Z     del arg0_1
2022-11-23T01:30:20.2967179Z     del arg1_1
2022-11-23T01:30:20.2967248Z     buf1 = buf0
2022-11-23T01:30:20.2967355Z     assert_size_stride(buf1, (2292, 256, 7, 7), (12544, 49, 7, 1))
2022-11-23T01:30:20.2967418Z     del buf0
2022-11-23T01:30:20.2967489Z     return (buf1, )
2022-11-23T01:30:20.2967493Z 
2022-11-23T01:30:20.2967497Z 
2022-11-23T01:30:20.2967571Z if __name__ == "__main__":
2022-11-23T01:30:20.2967671Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.2967793Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.2968024Z     arg0_1 = rand_strided((4, 256, 296, 304), (23035904, 89984, 304, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2968223Z     arg1_1 = rand_strided((2292, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.2968336Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.2968342Z 
2022-11-23T01:30:20.2968411Z ok (3.275s)
2022-11-23T01:30:20.2968716Z   test_roll_cpu (__main__.CpuTests) ... [2022-11-23 01:26:47,817] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.2969061Z [2022-11-23 01:26:47,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.2969266Z [2022-11-23 01:26:47,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.2969518Z [2022-11-23 01:26:47,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.2969796Z [2022-11-23 01:26:47,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.2970117Z [2022-11-23 01:26:47,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2970463Z [2022-11-23 01:26:47,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2970815Z [2022-11-23 01:26:47,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.2971191Z [2022-11-23 01:26:47,818] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d33c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233> 
2022-11-23T01:30:20.2971288Z  4235           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2971381Z                2 LOAD_METHOD              1 (roll)
2022-11-23T01:30:20.2971472Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2971596Z                6 LOAD_CONST               1 (-3)
2022-11-23T01:30:20.2971688Z                8 LOAD_CONST               2 (10)
2022-11-23T01:30:20.2971777Z               10 BUILD_LIST               2
2022-11-23T01:30:20.2971865Z               12 LOAD_CONST               3 (1)
2022-11-23T01:30:20.2971954Z               14 LOAD_CONST               4 (2)
2022-11-23T01:30:20.2972043Z               16 BUILD_LIST               2
2022-11-23T01:30:20.2972130Z               18 CALL_METHOD              3
2022-11-23T01:30:20.2972135Z 
2022-11-23T01:30:20.2972217Z 4236          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.2972307Z               22 LOAD_METHOD              1 (roll)
2022-11-23T01:30:20.2972396Z               24 LOAD_FAST                0 (a)
2022-11-23T01:30:20.2972486Z               26 LOAD_CONST               5 (5)
2022-11-23T01:30:20.2972571Z               28 BUILD_LIST               1
2022-11-23T01:30:20.2972657Z               30 CALL_METHOD              2
2022-11-23T01:30:20.2972661Z 
2022-11-23T01:30:20.2972746Z 4234          32 BUILD_TUPLE              2
2022-11-23T01:30:20.2972825Z               34 RETURN_VALUE
2022-11-23T01:30:20.2972874Z  
2022-11-23T01:30:20.2972879Z 
2022-11-23T01:30:20.2973199Z [2022-11-23 01:26:47,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4235
2022-11-23T01:30:20.2973421Z [2022-11-23 01:26:47,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.2973727Z [2022-11-23 01:26:47,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2973979Z [2022-11-23 01:26:47,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.roll)]
2022-11-23T01:30:20.2974263Z [2022-11-23 01:26:47,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3 [TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:30:20.2974577Z [2022-11-23 01:26:47,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2974929Z [2022-11-23 01:26:47,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2975232Z [2022-11-23 01:26:47,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2975599Z [2022-11-23 01:26:47,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2975965Z [2022-11-23 01:26:47,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.2976294Z [2022-11-23 01:26:47,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.2976806Z [2022-11-23 01:26:47,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4236
2022-11-23T01:30:20.2977286Z [2022-11-23 01:26:47,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.2978053Z [2022-11-23 01:26:47,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.2978613Z [2022-11-23 01:26:47,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.roll)]
2022-11-23T01:30:20.2979231Z [2022-11-23 01:26:47,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:30:20.2979929Z [2022-11-23 01:26:47,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.2980610Z [2022-11-23 01:26:47,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.2981244Z [2022-11-23 01:26:47,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4234
2022-11-23T01:30:20.2981791Z [2022-11-23 01:26:47,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.2982266Z [2022-11-23 01:26:47,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2983037Z [2022-11-23 01:26:47,834] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d33c0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4233>
2022-11-23T01:30:20.2983530Z [2022-11-23 01:26:47,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.2983995Z [2022-11-23 01:26:47,834] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.2984505Z [2022-11-23 01:26:47,836] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.2985012Z [2022-11-23 01:26:47,839] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.2985390Z [2022-11-23 01:26:47,839] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.2985648Z  __compiled_fn_345 <eval_with_key>.2887 opcode, name, target, args, kwargs
2022-11-23T01:30:20.2985820Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.2986136Z call_function, roll, aten.roll, (ex_0_, [-3, 10], [1, 2]), {}
2022-11-23T01:30:20.2986342Z call_function, roll_1, aten.roll, (ex_0_, [5]), {}
2022-11-23T01:30:20.2986544Z output, output, output, ((roll, roll_1),), {}
2022-11-23T01:30:20.2986555Z 
2022-11-23T01:30:20.2987213Z [2022-11-23 01:26:47,840] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2987388Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.2987557Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2987723Z               4 BUILD_MAP                0
2022-11-23T01:30:20.2987895Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.2988101Z               8 DICT_MERGE               1
2022-11-23T01:30:20.2988275Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.2988417Z              12 RETURN_VALUE
2022-11-23T01:30:20.2988427Z 
2022-11-23T01:30:20.2988545Z  
2022-11-23T01:30:20.2989207Z [2022-11-23 01:26:47,840] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.2989416Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_345)
2022-11-23T01:30:20.2989584Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.2989753Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2989884Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.2990049Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.2990289Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.2990480Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2990654Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.2990802Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.2990991Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.2991139Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.2991286Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.2991452Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.2991596Z              26 RETURN_VALUE
2022-11-23T01:30:20.2991606Z 
2022-11-23T01:30:20.2991718Z  
2022-11-23T01:30:20.2992079Z [2022-11-23 01:26:47,840] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.2992218Z  - 
2022-11-23T01:30:20.2992435Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.2992560Z             {
2022-11-23T01:30:20.2992832Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.2993205Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.2993437Z                 'obj_weakref': None
2022-11-23T01:30:20.2993936Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.2994062Z             }
2022-11-23T01:30:20.2994167Z             
2022-11-23T01:30:20.2994306Z  - 
2022-11-23T01:30:20.2994552Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.2994671Z             {
2022-11-23T01:30:20.2994946Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.2995155Z                 'code': None,
2022-11-23T01:30:20.2995576Z                 'obj_weakref': <weakref at 0x7ff58ffd0e00; to 'Tensor' at 0x7ff58fcd4540>
2022-11-23T01:30:20.2996059Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.2996186Z             }
2022-11-23T01:30:20.2996312Z             
2022-11-23T01:30:20.2996447Z  - 
2022-11-23T01:30:20.2996700Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.2996825Z             {
2022-11-23T01:30:20.2997094Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.2997400Z                 'code': ['___check_obj_id(model, 140692653074336)'],
2022-11-23T01:30:20.2997636Z                 'obj_weakref': None
2022-11-23T01:30:20.2998086Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.2998206Z             }
2022-11-23T01:30:20.2998329Z             
2022-11-23T01:30:20.2998467Z  - 
2022-11-23T01:30:20.2998705Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.2998811Z             {
2022-11-23T01:30:20.2999080Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.2999509Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.2999740Z                 'obj_weakref': None
2022-11-23T01:30:20.3000185Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3000316Z             }
2022-11-23T01:30:20.3000435Z             
2022-11-23T01:30:20.3000602Z  - 
2022-11-23T01:30:20.3000864Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3000986Z             {
2022-11-23T01:30:20.3001223Z                 'guard_types': None,
2022-11-23T01:30:20.3001431Z                 'code': None,
2022-11-23T01:30:20.3001659Z                 'obj_weakref': None
2022-11-23T01:30:20.3001900Z                 'guarded_class': None
2022-11-23T01:30:20.3002005Z             }
2022-11-23T01:30:20.3002130Z             
2022-11-23T01:30:20.3002645Z [2022-11-23 01:26:47,846] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 338
2022-11-23T01:30:20.3003409Z [2022-11-23 01:26:49,352] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pu/cpudzmzbgskb6wxezuh7gkomkyfrladv3fa3tkupei6i6yva5bjg.py
2022-11-23T01:30:20.3003977Z [2022-11-23 01:26:49,352] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 338
2022-11-23T01:30:20.3003987Z 
2022-11-23T01:30:20.3004175Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3004312Z import torch
2022-11-23T01:30:20.3004449Z import random
2022-11-23T01:30:20.3004653Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3004889Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3004898Z 
2022-11-23T01:30:20.3005049Z aten = torch.ops.aten
2022-11-23T01:30:20.3005306Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3005483Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3005492Z 
2022-11-23T01:30:20.3005501Z 
2022-11-23T01:30:20.3005760Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3006162Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3006398Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3006575Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.3006754Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.3006876Z {
2022-11-23T01:30:20.3007068Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3007190Z     {
2022-11-23T01:30:20.3007361Z         #pragma omp for  collapse(2)
2022-11-23T01:30:20.3007516Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.3007620Z         {
2022-11-23T01:30:20.3007781Z             for(long i1=0; i1<56; i1+=1)
2022-11-23T01:30:20.3007902Z             {
2022-11-23T01:30:20.3008056Z                 #pragma GCC ivdep
2022-11-23T01:30:20.3008225Z                 for(long i2=0; i2<56; i2+=1)
2022-11-23T01:30:20.3008350Z                 {
2022-11-23T01:30:20.3008524Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T01:30:20.3008634Z                     {
2022-11-23T01:30:20.3008963Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i3) + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0));
2022-11-23T01:30:20.3009193Z                         tmp0.store(out_ptr0 + (8*i3) + (16*i2) + (896*i1) + (50176*i0));
2022-11-23T01:30:20.3009320Z                     }
2022-11-23T01:30:20.3009508Z                     #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.3009682Z                     for(long i3=16; i3<16; i3+=1)
2022-11-23T01:30:20.3009807Z                     {
2022-11-23T01:30:20.3010027Z                         auto tmp0 = in_ptr0[i3 + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)];
2022-11-23T01:30:20.3010228Z                         out_ptr0[i3 + (16*i2) + (896*i1) + (50176*i0)] = tmp0;
2022-11-23T01:30:20.3010352Z                     }
2022-11-23T01:30:20.3010475Z                 }
2022-11-23T01:30:20.3010597Z             }
2022-11-23T01:30:20.3010718Z         }
2022-11-23T01:30:20.3010867Z         #pragma omp for 
2022-11-23T01:30:20.3011012Z         for(long i0=0; i0<100352; i0+=1)
2022-11-23T01:30:20.3011133Z         {
2022-11-23T01:30:20.3011254Z             {
2022-11-23T01:30:20.3011376Z                 {
2022-11-23T01:30:20.3011572Z                     auto tmp0 = in_ptr0[(100347 + i0) % 100352];
2022-11-23T01:30:20.3011781Z                     out_ptr1[i0] = tmp0;
2022-11-23T01:30:20.3011903Z                 }
2022-11-23T01:30:20.3012008Z             }
2022-11-23T01:30:20.3012124Z         }
2022-11-23T01:30:20.3012242Z     }
2022-11-23T01:30:20.3012358Z }
2022-11-23T01:30:20.3012510Z ''')
2022-11-23T01:30:20.3012520Z 
2022-11-23T01:30:20.3012529Z 
2022-11-23T01:30:20.3012702Z async_compile.wait(globals())
2022-11-23T01:30:20.3012842Z del async_compile
2022-11-23T01:30:20.3012851Z 
2022-11-23T01:30:20.3012968Z def call(args):
2022-11-23T01:30:20.3013108Z     arg0_1, = args
2022-11-23T01:30:20.3013241Z     args.clear()
2022-11-23T01:30:20.3013675Z     buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3014072Z     buf1 = empty_strided((100352, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3014426Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.3014559Z     del arg0_1
2022-11-23T01:30:20.3014779Z     return (buf0, as_strided(buf1, (2, 56, 56, 16), (50176, 896, 16, 1)), )
2022-11-23T01:30:20.3014789Z 
2022-11-23T01:30:20.3014798Z 
2022-11-23T01:30:20.3014924Z if __name__ == "__main__":
2022-11-23T01:30:20.3015138Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3015379Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3015815Z     arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3016020Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3016029Z 
2022-11-23T01:30:20.3016153Z ok (1.544s)
2022-11-23T01:30:20.3016908Z   test_round_correctness_cpu (__main__.CpuTests) ... [2022-11-23 01:26:49,359] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3017571Z [2022-11-23 01:26:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3018006Z [2022-11-23 01:26:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3018499Z [2022-11-23 01:26:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3019056Z [2022-11-23 01:26:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3019703Z [2022-11-23 01:26:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3020416Z [2022-11-23 01:26:49,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3021081Z [2022-11-23 01:26:49,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3021846Z [2022-11-23 01:26:49,360] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d168240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1026> 
2022-11-23T01:30:20.3022030Z  1027           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3022210Z                2 LOAD_METHOD              1 (round)
2022-11-23T01:30:20.3022380Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3022531Z                6 CALL_METHOD              1
2022-11-23T01:30:20.3022680Z                8 RETURN_VALUE
2022-11-23T01:30:20.3022800Z  
2022-11-23T01:30:20.3022810Z 
2022-11-23T01:30:20.3023458Z [2022-11-23 01:26:49,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1027
2022-11-23T01:30:20.3023903Z [2022-11-23 01:26:49,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3024749Z [2022-11-23 01:26:49,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3025399Z [2022-11-23 01:26:49,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3026117Z [2022-11-23 01:26:49,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3026615Z [2022-11-23 01:26:49,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3027379Z [2022-11-23 01:26:49,362] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d168240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1026>
2022-11-23T01:30:20.3027929Z [2022-11-23 01:26:49,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3028406Z [2022-11-23 01:26:49,362] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3028919Z [2022-11-23 01:26:49,363] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3029424Z [2022-11-23 01:26:49,365] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3029795Z [2022-11-23 01:26:49,365] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3030054Z  __compiled_fn_346 <eval_with_key>.2893 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3030224Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3030686Z call_function, round_1, <built-in method round of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.3030864Z output, output, output, ((round_1,),), {}
2022-11-23T01:30:20.3030891Z 
2022-11-23T01:30:20.3031544Z [2022-11-23 01:26:49,366] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3031720Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3031893Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3032061Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3032236Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3032400Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3032572Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3032701Z              12 RETURN_VALUE
2022-11-23T01:30:20.3032724Z 
2022-11-23T01:30:20.3032826Z  
2022-11-23T01:30:20.3033491Z [2022-11-23 01:26:49,366] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3033704Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_346)
2022-11-23T01:30:20.3033930Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3034112Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3034258Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3034426Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.3034586Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3034732Z              12 RETURN_VALUE
2022-11-23T01:30:20.3034741Z 
2022-11-23T01:30:20.3034862Z  
2022-11-23T01:30:20.3035220Z [2022-11-23 01:26:49,366] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3035356Z  - 
2022-11-23T01:30:20.3035594Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3035719Z             {
2022-11-23T01:30:20.3035979Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3036340Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.3036579Z                 'obj_weakref': None
2022-11-23T01:30:20.3037021Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3037188Z             }
2022-11-23T01:30:20.3037315Z             
2022-11-23T01:30:20.3037450Z  - 
2022-11-23T01:30:20.3037674Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3037800Z             {
2022-11-23T01:30:20.3038078Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3038286Z                 'code': None,
2022-11-23T01:30:20.3038704Z                 'obj_weakref': <weakref at 0x7ff58ffd0a40; to 'Tensor' at 0x7ff58fcd53a0>
2022-11-23T01:30:20.3039207Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3039331Z             }
2022-11-23T01:30:20.3039438Z             
2022-11-23T01:30:20.3039574Z  - 
2022-11-23T01:30:20.3039831Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3039995Z             {
2022-11-23T01:30:20.3040259Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3040591Z                 'code': ['___check_obj_id(model, 140692657057952)'],
2022-11-23T01:30:20.3040827Z                 'obj_weakref': None
2022-11-23T01:30:20.3041253Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3041379Z             }
2022-11-23T01:30:20.3041500Z             
2022-11-23T01:30:20.3041635Z  - 
2022-11-23T01:30:20.3041875Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3041997Z             {
2022-11-23T01:30:20.3042263Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3042670Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3042903Z                 'obj_weakref': None
2022-11-23T01:30:20.3043334Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3043460Z             }
2022-11-23T01:30:20.3043581Z             
2022-11-23T01:30:20.3043714Z  - 
2022-11-23T01:30:20.3043973Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3044075Z             {
2022-11-23T01:30:20.3044312Z                 'guard_types': None,
2022-11-23T01:30:20.3044519Z                 'code': None,
2022-11-23T01:30:20.3044748Z                 'obj_weakref': None
2022-11-23T01:30:20.3044985Z                 'guarded_class': None
2022-11-23T01:30:20.3045108Z             }
2022-11-23T01:30:20.3045232Z             
2022-11-23T01:30:20.3045728Z [2022-11-23 01:26:49,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 339
2022-11-23T01:30:20.3046470Z [2022-11-23 01:26:50,976] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/am/camh43rjoimsibppydnb2i4jz36fhlyzqbv2b4mjol4dw6andmbk.py
2022-11-23T01:30:20.3047000Z [2022-11-23 01:26:50,977] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 339
2022-11-23T01:30:20.3047013Z 
2022-11-23T01:30:20.3047197Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3047328Z import torch
2022-11-23T01:30:20.3047464Z import random
2022-11-23T01:30:20.3047689Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3047925Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3047935Z 
2022-11-23T01:30:20.3048070Z aten = torch.ops.aten
2022-11-23T01:30:20.3048325Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3048500Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3048508Z 
2022-11-23T01:30:20.3048517Z 
2022-11-23T01:30:20.3048784Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3049184Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3049417Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.3049608Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.3049731Z {
2022-11-23T01:30:20.3049902Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3050018Z     {
2022-11-23T01:30:20.3050166Z         #pragma omp for 
2022-11-23T01:30:20.3050370Z         for(long i0=0; i0<200; i0+=1)
2022-11-23T01:30:20.3050491Z         {
2022-11-23T01:30:20.3050612Z             {
2022-11-23T01:30:20.3050746Z                 {
2022-11-23T01:30:20.3050918Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3051127Z                     auto tmp1 = std::nearbyint(tmp0);
2022-11-23T01:30:20.3051286Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.3051410Z                 }
2022-11-23T01:30:20.3051528Z             }
2022-11-23T01:30:20.3051649Z         }
2022-11-23T01:30:20.3051751Z     }
2022-11-23T01:30:20.3051866Z }
2022-11-23T01:30:20.3052015Z ''')
2022-11-23T01:30:20.3052024Z 
2022-11-23T01:30:20.3052033Z 
2022-11-23T01:30:20.3052204Z async_compile.wait(globals())
2022-11-23T01:30:20.3052347Z del async_compile
2022-11-23T01:30:20.3052355Z 
2022-11-23T01:30:20.3052562Z def call(args):
2022-11-23T01:30:20.3052697Z     arg0_1, = args
2022-11-23T01:30:20.3052817Z     args.clear()
2022-11-23T01:30:20.3053213Z     buf0 = empty_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.3053471Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3053602Z     del arg0_1
2022-11-23T01:30:20.3053739Z     return (buf0, )
2022-11-23T01:30:20.3053749Z 
2022-11-23T01:30:20.3053756Z 
2022-11-23T01:30:20.3053899Z if __name__ == "__main__":
2022-11-23T01:30:20.3054120Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3054360Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3054732Z     arg0_1 = rand_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.3054941Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3054950Z 
2022-11-23T01:30:20.3055079Z ok (1.622s)
2022-11-23T01:30:20.3055691Z   test_round_cpu (__main__.CpuTests) ... [2022-11-23 01:26:50,982] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3056341Z [2022-11-23 01:26:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3056871Z [2022-11-23 01:26:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3057381Z [2022-11-23 01:26:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3057947Z [2022-11-23 01:26:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3058600Z [2022-11-23 01:26:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3059301Z [2022-11-23 01:26:50,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3059948Z [2022-11-23 01:26:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3060720Z [2022-11-23 01:26:50,983] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1680e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012> 
2022-11-23T01:30:20.3060900Z  1013           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3061081Z                2 LOAD_METHOD              1 (round)
2022-11-23T01:30:20.3061246Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3061418Z                6 CALL_METHOD              1
2022-11-23T01:30:20.3061591Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3061759Z               10 LOAD_METHOD              1 (round)
2022-11-23T01:30:20.3061910Z               12 LOAD_FAST                1 (b)
2022-11-23T01:30:20.3062076Z               14 LOAD_CONST               1 (1)
2022-11-23T01:30:20.3062220Z               16 BINARY_ADD
2022-11-23T01:30:20.3062387Z               18 CALL_METHOD              1
2022-11-23T01:30:20.3062636Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3062807Z               22 LOAD_ATTR                1 (round)
2022-11-23T01:30:20.3062975Z               24 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3063127Z               26 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3063425Z               28 LOAD_CONST               3 (('decimals',))
2022-11-23T01:30:20.3063597Z               30 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.3063766Z               32 BUILD_TUPLE              3
2022-11-23T01:30:20.3063915Z               34 RETURN_VALUE
2022-11-23T01:30:20.3064035Z  
2022-11-23T01:30:20.3064045Z 
2022-11-23T01:30:20.3064692Z [2022-11-23 01:26:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1013
2022-11-23T01:30:20.3065177Z [2022-11-23 01:26:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3065904Z [2022-11-23 01:26:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3066551Z [2022-11-23 01:26:50,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3067261Z [2022-11-23 01:26:50,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3067754Z [2022-11-23 01:26:50,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.3068548Z [2022-11-23 01:26:50,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3069254Z [2022-11-23 01:26:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3070028Z [2022-11-23 01:26:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3070888Z [2022-11-23 01:26:50,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3071671Z [2022-11-23 01:26:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3072230Z [2022-11-23 01:26:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3073098Z [2022-11-23 01:26:50,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3073920Z [2022-11-23 01:26:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3074760Z [2022-11-23 01:26:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3075713Z [2022-11-23 01:26:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('decimals',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3076765Z [2022-11-23 01:26:50,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:20.3077365Z [2022-11-23 01:26:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3077858Z [2022-11-23 01:26:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3078637Z [2022-11-23 01:26:50,988] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1680e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1012>
2022-11-23T01:30:20.3079125Z [2022-11-23 01:26:50,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3079650Z [2022-11-23 01:26:50,988] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3080167Z [2022-11-23 01:26:50,989] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3080661Z [2022-11-23 01:26:50,993] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3081040Z [2022-11-23 01:26:50,993] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3081303Z  __compiled_fn_347 <eval_with_key>.2899 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3081456Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3081622Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.3082077Z call_function, round_1, <built-in method round of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.3082419Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:20.3082880Z call_function, round_2, <built-in method round of type object at 0x7ff5d7c59c60>, (add,), {}
2022-11-23T01:30:20.3083382Z call_function, round_3, <built-in method round of type object at 0x7ff5d7c59c60>, (ex_0_,), {'decimals': 2}
2022-11-23T01:30:20.3083611Z output, output, output, ((round_1, round_2, round_3),), {}
2022-11-23T01:30:20.3083622Z 
2022-11-23T01:30:20.3084282Z [2022-11-23 01:26:50,994] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3084441Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3084613Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3084777Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3084952Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3085113Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3085279Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3085432Z              12 RETURN_VALUE
2022-11-23T01:30:20.3085439Z 
2022-11-23T01:30:20.3085557Z  
2022-11-23T01:30:20.3086204Z [2022-11-23 01:26:50,994] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3086409Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_347)
2022-11-23T01:30:20.3086574Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3086745Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3086893Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3087059Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3087227Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3087355Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3087523Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.3087716Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3087910Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3088080Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3088224Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.3088460Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3088612Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3088755Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.3088940Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3089107Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:20.3089249Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.3089418Z              36 BUILD_TUPLE              3
2022-11-23T01:30:20.3089560Z              38 RETURN_VALUE
2022-11-23T01:30:20.3089569Z 
2022-11-23T01:30:20.3089692Z  
2022-11-23T01:30:20.3090033Z [2022-11-23 01:26:50,994] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3090163Z  - 
2022-11-23T01:30:20.3090394Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3090560Z             {
2022-11-23T01:30:20.3090840Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3091202Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.3091437Z                 'obj_weakref': None
2022-11-23T01:30:20.3091859Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3091981Z             }
2022-11-23T01:30:20.3092104Z             
2022-11-23T01:30:20.3092237Z  - 
2022-11-23T01:30:20.3092478Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3092599Z             {
2022-11-23T01:30:20.3092878Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3093071Z                 'code': None,
2022-11-23T01:30:20.3093491Z                 'obj_weakref': <weakref at 0x7ff58fdf2e30; to 'Tensor' at 0x7ff57f945120>
2022-11-23T01:30:20.3093999Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3094119Z             }
2022-11-23T01:30:20.3094243Z             
2022-11-23T01:30:20.3094381Z  - 
2022-11-23T01:30:20.3094626Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.3094736Z             {
2022-11-23T01:30:20.3095008Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3095219Z                 'code': None,
2022-11-23T01:30:20.3095636Z                 'obj_weakref': <weakref at 0x7ff58ff4ad40; to 'Tensor' at 0x7ff57f946b60>
2022-11-23T01:30:20.3096136Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3096258Z             }
2022-11-23T01:30:20.3096379Z             
2022-11-23T01:30:20.3096589Z  - 
2022-11-23T01:30:20.3096852Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3096977Z             {
2022-11-23T01:30:20.3097241Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3097574Z                 'code': ['___check_obj_id(model, 140692653072608)'],
2022-11-23T01:30:20.3097814Z                 'obj_weakref': None
2022-11-23T01:30:20.3098273Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3098381Z             }
2022-11-23T01:30:20.3098504Z             
2022-11-23T01:30:20.3098639Z  - 
2022-11-23T01:30:20.3098879Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3099001Z             {
2022-11-23T01:30:20.3099267Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3099698Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3099915Z                 'obj_weakref': None
2022-11-23T01:30:20.3100348Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3100471Z             }
2022-11-23T01:30:20.3100591Z             
2022-11-23T01:30:20.3100724Z  - 
2022-11-23T01:30:20.3100984Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3101110Z             {
2022-11-23T01:30:20.3101329Z                 'guard_types': None,
2022-11-23T01:30:20.3101537Z                 'code': None,
2022-11-23T01:30:20.3101840Z                 'obj_weakref': None
2022-11-23T01:30:20.3102075Z                 'guarded_class': None
2022-11-23T01:30:20.3102198Z             }
2022-11-23T01:30:20.3102320Z             
2022-11-23T01:30:20.3102815Z [2022-11-23 01:26:51,003] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 340
2022-11-23T01:30:20.3103557Z [2022-11-23 01:26:52,536] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vj/cvjrgenbguximo2wxa44af4h3pi5zliaaxd5nla5taa3gzyuqsei.py
2022-11-23T01:30:20.3104093Z [2022-11-23 01:26:52,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 340
2022-11-23T01:30:20.3104104Z 
2022-11-23T01:30:20.3104287Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3104424Z import torch
2022-11-23T01:30:20.3104559Z import random
2022-11-23T01:30:20.3104842Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3105076Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3105083Z 
2022-11-23T01:30:20.3105237Z aten = torch.ops.aten
2022-11-23T01:30:20.3105481Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3105662Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3105670Z 
2022-11-23T01:30:20.3105679Z 
2022-11-23T01:30:20.3105939Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3106346Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3106576Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3106774Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.3106963Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.3107142Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.3107312Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.3107427Z {
2022-11-23T01:30:20.3107617Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3107743Z     {
2022-11-23T01:30:20.3107895Z         #pragma omp for 
2022-11-23T01:30:20.3108049Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.3108154Z         {
2022-11-23T01:30:20.3108412Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3108576Z             auto tmp1 = tmp0.round();
2022-11-23T01:30:20.3108834Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(100.0));
2022-11-23T01:30:20.3108994Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:30:20.3109158Z             auto tmp4 = tmp3.round();
2022-11-23T01:30:20.3109419Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(0.01));
2022-11-23T01:30:20.3109579Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.3109734Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3109911Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.3110031Z         }
2022-11-23T01:30:20.3110209Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3110368Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.3110488Z         {
2022-11-23T01:30:20.3110647Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3110822Z             auto tmp1 = std::nearbyint(tmp0);
2022-11-23T01:30:20.3111015Z             auto tmp2 = static_cast<float>(100.0);
2022-11-23T01:30:20.3111178Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:30:20.3111370Z             auto tmp4 = std::nearbyint(tmp3);
2022-11-23T01:30:20.3111566Z             auto tmp5 = static_cast<float>(0.01);
2022-11-23T01:30:20.3111724Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.3111876Z             out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.3112010Z             out_ptr1[i0] = tmp6;
2022-11-23T01:30:20.3112129Z         }
2022-11-23T01:30:20.3112278Z         #pragma omp for 
2022-11-23T01:30:20.3112433Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.3112557Z         {
2022-11-23T01:30:20.3112806Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.3113123Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.3113267Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.3113433Z             auto tmp3 = tmp2.round();
2022-11-23T01:30:20.3113605Z             tmp3.store(out_ptr2 + 8*i0);
2022-11-23T01:30:20.3113726Z         }
2022-11-23T01:30:20.3113959Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3114116Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.3114234Z         {
2022-11-23T01:30:20.3114376Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:20.3114571Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.3114737Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.3114934Z             auto tmp3 = std::nearbyint(tmp2);
2022-11-23T01:30:20.3115092Z             out_ptr2[i0] = tmp3;
2022-11-23T01:30:20.3115262Z         }
2022-11-23T01:30:20.3115380Z     }
2022-11-23T01:30:20.3115481Z }
2022-11-23T01:30:20.3115642Z ''')
2022-11-23T01:30:20.3115653Z 
2022-11-23T01:30:20.3115663Z 
2022-11-23T01:30:20.3115836Z async_compile.wait(globals())
2022-11-23T01:30:20.3115975Z del async_compile
2022-11-23T01:30:20.3115985Z 
2022-11-23T01:30:20.3116124Z def call(args):
2022-11-23T01:30:20.3116270Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.3116406Z     args.clear()
2022-11-23T01:30:20.3116775Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3117154Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3117530Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3117939Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.3118071Z     del arg0_1
2022-11-23T01:30:20.3118201Z     del arg1_1
2022-11-23T01:30:20.3118352Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:20.3118362Z 
2022-11-23T01:30:20.3118371Z 
2022-11-23T01:30:20.3118520Z if __name__ == "__main__":
2022-11-23T01:30:20.3118726Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3118965Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3119348Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3119725Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3119946Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.3119955Z 
2022-11-23T01:30:20.3120085Z ok (1.560s)
2022-11-23T01:30:20.3120685Z   test_rsqrt_cpu (__main__.CpuTests) ... [2022-11-23 01:26:52,541] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3121318Z [2022-11-23 01:26:52,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3121757Z [2022-11-23 01:26:52,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3122242Z [2022-11-23 01:26:52,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3122794Z [2022-11-23 01:26:52,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3123447Z [2022-11-23 01:26:52,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3124161Z [2022-11-23 01:26:52,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3124818Z [2022-11-23 01:26:52,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3125632Z [2022-11-23 01:26:52,542] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f61e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638> 
2022-11-23T01:30:20.3125812Z  2639           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3125989Z                2 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:30:20.3126157Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3126308Z                6 CALL_METHOD              1
2022-11-23T01:30:20.3126483Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3126653Z               10 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:30:20.3126822Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3126987Z               14 LOAD_CONST               1 (1)
2022-11-23T01:30:20.3127128Z               16 BINARY_ADD
2022-11-23T01:30:20.3127296Z               18 CALL_METHOD              1
2022-11-23T01:30:20.3127484Z               20 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3127639Z               22 BINARY_SUBTRACT
2022-11-23T01:30:20.3127811Z               24 BUILD_TUPLE              2
2022-11-23T01:30:20.3127958Z               26 RETURN_VALUE
2022-11-23T01:30:20.3128074Z  
2022-11-23T01:30:20.3128083Z 
2022-11-23T01:30:20.3128718Z [2022-11-23 01:26:52,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2639
2022-11-23T01:30:20.3129163Z [2022-11-23 01:26:52,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3129907Z [2022-11-23 01:26:52,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3130562Z [2022-11-23 01:26:52,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method rsqrt of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3131267Z [2022-11-23 01:26:52,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rsqrt of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3131759Z [2022-11-23 01:26:52,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.3132564Z [2022-11-23 01:26:52,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3133280Z [2022-11-23 01:26:52,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3134047Z [2022-11-23 01:26:52,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3134918Z [2022-11-23 01:26:52,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3135699Z [2022-11-23 01:26:52,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3136230Z [2022-11-23 01:26:52,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3136965Z [2022-11-23 01:26:52,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3137515Z [2022-11-23 01:26:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3138010Z [2022-11-23 01:26:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3138859Z [2022-11-23 01:26:52,547] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f61e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2638>
2022-11-23T01:30:20.3139331Z [2022-11-23 01:26:52,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3139800Z [2022-11-23 01:26:52,547] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3140308Z [2022-11-23 01:26:52,548] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3140807Z [2022-11-23 01:26:52,552] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3141175Z [2022-11-23 01:26:52,552] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3141435Z  __compiled_fn_348 <eval_with_key>.2905 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3141661Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3142114Z call_function, rsqrt, <built-in method rsqrt of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.3142449Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.3142872Z call_function, rsqrt_1, <built-in method rsqrt of type object at 0x7ff5d7c59c60>, (add,), {}
2022-11-23T01:30:20.3143214Z call_function, sub, <built-in function sub>, (rsqrt_1, 2), {}
2022-11-23T01:30:20.3143419Z output, output, output, ((rsqrt, sub),), {}
2022-11-23T01:30:20.3143431Z 
2022-11-23T01:30:20.3144091Z [2022-11-23 01:26:52,552] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3144262Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3144431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3144598Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3144775Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3144922Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3145095Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3145243Z              12 RETURN_VALUE
2022-11-23T01:30:20.3145252Z 
2022-11-23T01:30:20.3145366Z  
2022-11-23T01:30:20.3146024Z [2022-11-23 01:26:52,552] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3146228Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_348)
2022-11-23T01:30:20.3146397Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3146548Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3146691Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3146859Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.3147051Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3147246Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3147413Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3147561Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.3147751Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3147902Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3148044Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.3148211Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.3148351Z              26 RETURN_VALUE
2022-11-23T01:30:20.3148361Z 
2022-11-23T01:30:20.3148478Z  
2022-11-23T01:30:20.3148835Z [2022-11-23 01:26:52,553] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3148968Z  - 
2022-11-23T01:30:20.3149180Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3149306Z             {
2022-11-23T01:30:20.3149579Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3149943Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.3150177Z                 'obj_weakref': None
2022-11-23T01:30:20.3150659Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3150785Z             }
2022-11-23T01:30:20.3150891Z             
2022-11-23T01:30:20.3151027Z  - 
2022-11-23T01:30:20.3151268Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3151392Z             {
2022-11-23T01:30:20.3151673Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3151884Z                 'code': None,
2022-11-23T01:30:20.3152310Z                 'obj_weakref': <weakref at 0x7ff57f8b3ce0; to 'Tensor' at 0x7ff58ffd0270>
2022-11-23T01:30:20.3152786Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3152911Z             }
2022-11-23T01:30:20.3153034Z             
2022-11-23T01:30:20.3153170Z  - 
2022-11-23T01:30:20.3153425Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3153590Z             {
2022-11-23T01:30:20.3153912Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3154238Z                 'code': ['___check_obj_id(model, 140693062684960)'],
2022-11-23T01:30:20.3154475Z                 'obj_weakref': None
2022-11-23T01:30:20.3154928Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3155053Z             }
2022-11-23T01:30:20.3155181Z             
2022-11-23T01:30:20.3155319Z  - 
2022-11-23T01:30:20.3155559Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3155663Z             {
2022-11-23T01:30:20.3155931Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3156366Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3156604Z                 'obj_weakref': None
2022-11-23T01:30:20.3157039Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3157164Z             }
2022-11-23T01:30:20.3157286Z             
2022-11-23T01:30:20.3157401Z  - 
2022-11-23T01:30:20.3157667Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3157790Z             {
2022-11-23T01:30:20.3158029Z                 'guard_types': None,
2022-11-23T01:30:20.3158235Z                 'code': None,
2022-11-23T01:30:20.3158467Z                 'obj_weakref': None
2022-11-23T01:30:20.3158693Z                 'guarded_class': None
2022-11-23T01:30:20.3158814Z             }
2022-11-23T01:30:20.3158938Z             
2022-11-23T01:30:20.3159458Z [2022-11-23 01:26:52,561] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 341
2022-11-23T01:30:20.3160202Z [2022-11-23 01:26:54,217] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3o/c3oqzuemnu7ytfaayjed6lkzgkrb2h33bw6wnjtagl2qdx5kyjk5.py
2022-11-23T01:30:20.3160735Z [2022-11-23 01:26:54,218] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 341
2022-11-23T01:30:20.3160749Z 
2022-11-23T01:30:20.3160936Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3161072Z import torch
2022-11-23T01:30:20.3161194Z import random
2022-11-23T01:30:20.3161417Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3161651Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3161660Z 
2022-11-23T01:30:20.3161808Z aten = torch.ops.aten
2022-11-23T01:30:20.3162068Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3162243Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3162252Z 
2022-11-23T01:30:20.3162261Z 
2022-11-23T01:30:20.3162523Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3162920Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3163130Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3163319Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.3163504Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.3163623Z {
2022-11-23T01:30:20.3163813Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3163978Z     {
2022-11-23T01:30:20.3164131Z         #pragma omp for 
2022-11-23T01:30:20.3164268Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.3164388Z         {
2022-11-23T01:30:20.3164650Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3164812Z             auto tmp1 = tmp0.sqrt();
2022-11-23T01:30:20.3165001Z             auto tmp2 = tmp1.reciprocal();
2022-11-23T01:30:20.3165255Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.3165417Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:20.3165574Z             auto tmp5 = tmp4.sqrt();
2022-11-23T01:30:20.3165741Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:30:20.3165993Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.3166290Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:30:20.3166464Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3166646Z             tmp8.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.3166770Z         }
2022-11-23T01:30:20.3166948Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3167089Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.3167211Z         {
2022-11-23T01:30:20.3167371Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3167545Z             auto tmp1 = std::sqrt(tmp0);
2022-11-23T01:30:20.3167698Z             auto tmp2 = 1 / tmp1;
2022-11-23T01:30:20.3167886Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:20.3168046Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:20.3168202Z             auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:30:20.3168352Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:30:20.3168539Z             auto tmp7 = static_cast<float>(2);
2022-11-23T01:30:20.3168784Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:30:20.3168937Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.3169087Z             out_ptr1[i0] = tmp8;
2022-11-23T01:30:20.3169207Z         }
2022-11-23T01:30:20.3169314Z     }
2022-11-23T01:30:20.3169430Z }
2022-11-23T01:30:20.3169583Z ''')
2022-11-23T01:30:20.3169592Z 
2022-11-23T01:30:20.3169601Z 
2022-11-23T01:30:20.3169777Z async_compile.wait(globals())
2022-11-23T01:30:20.3169922Z del async_compile
2022-11-23T01:30:20.3169929Z 
2022-11-23T01:30:20.3170067Z def call(args):
2022-11-23T01:30:20.3170199Z     arg0_1, = args
2022-11-23T01:30:20.3170318Z     args.clear()
2022-11-23T01:30:20.3170699Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3171075Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3171390Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.3171523Z     del arg0_1
2022-11-23T01:30:20.3171680Z     return (buf0, buf1, )
2022-11-23T01:30:20.3171688Z 
2022-11-23T01:30:20.3171696Z 
2022-11-23T01:30:20.3171843Z if __name__ == "__main__":
2022-11-23T01:30:20.3172067Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3172287Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3172674Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3172877Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3172886Z 
2022-11-23T01:30:20.3173014Z ok (1.681s)
2022-11-23T01:30:20.3173631Z   test_scatter1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:54,224] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3174268Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3174698Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3175204Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3175814Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3176556Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3177266Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3177918Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3178682Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d0c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669> 
2022-11-23T01:30:20.3178930Z  3670           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3179118Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:30:20.3179288Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3179460Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.3179634Z                8 LOAD_FAST                2 (index)
2022-11-23T01:30:20.3179784Z               10 LOAD_FAST                3 (b)
2022-11-23T01:30:20.3179952Z               12 CALL_METHOD              4
2022-11-23T01:30:20.3180098Z               14 RETURN_VALUE
2022-11-23T01:30:20.3180216Z  
2022-11-23T01:30:20.3180226Z 
2022-11-23T01:30:20.3180874Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3670
2022-11-23T01:30:20.3181312Z [2022-11-23 01:26:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3181943Z [2022-11-23 01:26:54,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3182458Z [2022-11-23 01:26:54,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:30:20.3183022Z [2022-11-23 01:26:54,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:30:20.3183683Z [2022-11-23 01:26:54,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3184396Z [2022-11-23 01:26:54,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.3185182Z [2022-11-23 01:26:54,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3185684Z [2022-11-23 01:26:54,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3186459Z [2022-11-23 01:26:54,233] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d0c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3669>
2022-11-23T01:30:20.3186955Z [2022-11-23 01:26:54,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3187422Z [2022-11-23 01:26:54,233] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3187930Z [2022-11-23 01:26:54,234] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3188425Z [2022-11-23 01:26:54,237] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3188781Z [2022-11-23 01:26:54,237] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3189052Z  __compiled_fn_349 <eval_with_key>.2911 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3189281Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3189453Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3189622Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:20.3189984Z call_function, scatter, aten.scatter, (ex_0_, -1, ex_2_, ex_3_), {}
2022-11-23T01:30:20.3190177Z output, output, output, ((scatter,),), {}
2022-11-23T01:30:20.3190186Z 
2022-11-23T01:30:20.3190844Z [2022-11-23 01:26:54,237] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3191002Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3191169Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3191331Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3191543Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3191709Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3191885Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3192034Z              12 RETURN_VALUE
2022-11-23T01:30:20.3192044Z 
2022-11-23T01:30:20.3192166Z  
2022-11-23T01:30:20.3192799Z [2022-11-23 01:26:54,238] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3193006Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_349)
2022-11-23T01:30:20.3193181Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3193352Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3193497Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3193668Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3193890Z              10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3194017Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3194187Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3194348Z              16 LOAD_CONST               3 (3)
2022-11-23T01:30:20.3194502Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.3194674Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.3194850Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3194995Z              24 RETURN_VALUE
2022-11-23T01:30:20.3195005Z 
2022-11-23T01:30:20.3195104Z  
2022-11-23T01:30:20.3195470Z [2022-11-23 01:26:54,238] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3195603Z  - 
2022-11-23T01:30:20.3195835Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3195964Z             {
2022-11-23T01:30:20.3196236Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3196601Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:20.3196817Z                 'obj_weakref': None
2022-11-23T01:30:20.3197262Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3197387Z             }
2022-11-23T01:30:20.3197504Z             
2022-11-23T01:30:20.3197637Z  - 
2022-11-23T01:30:20.3197883Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3198007Z             {
2022-11-23T01:30:20.3198269Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3198474Z                 'code': None,
2022-11-23T01:30:20.3198893Z                 'obj_weakref': <weakref at 0x7ff57ef61f30; to 'Tensor' at 0x7ff58f9b1cb0>
2022-11-23T01:30:20.3199388Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3199513Z             }
2022-11-23T01:30:20.3199633Z             
2022-11-23T01:30:20.3199767Z  - 
2022-11-23T01:30:20.3200004Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:20.3200128Z             {
2022-11-23T01:30:20.3200404Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.3200770Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == -1'],
2022-11-23T01:30:20.3201000Z                 'obj_weakref': None
2022-11-23T01:30:20.3201491Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.3201617Z             }
2022-11-23T01:30:20.3201738Z             
2022-11-23T01:30:20.3201855Z  - 
2022-11-23T01:30:20.3202101Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3202234Z             {
2022-11-23T01:30:20.3202509Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3202718Z                 'code': None,
2022-11-23T01:30:20.3203134Z                 'obj_weakref': <weakref at 0x7ff57ef615d0; to 'Tensor' at 0x7ff58f9b6ed0>
2022-11-23T01:30:20.3203635Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3203740Z             }
2022-11-23T01:30:20.3203868Z             
2022-11-23T01:30:20.3204045Z  - 
2022-11-23T01:30:20.3204287Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.3204415Z             {
2022-11-23T01:30:20.3204693Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3204888Z                 'code': None,
2022-11-23T01:30:20.3205312Z                 'obj_weakref': <weakref at 0x7ff57efa29d0; to 'Tensor' at 0x7ff57f912e30>
2022-11-23T01:30:20.3205819Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3205941Z             }
2022-11-23T01:30:20.3206063Z             
2022-11-23T01:30:20.3206194Z  - 
2022-11-23T01:30:20.3206449Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3206549Z             {
2022-11-23T01:30:20.3206817Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3207146Z                 'code': ['___check_obj_id(model, 140693062686976)'],
2022-11-23T01:30:20.3207387Z                 'obj_weakref': None
2022-11-23T01:30:20.3207847Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3207972Z             }
2022-11-23T01:30:20.3208093Z             
2022-11-23T01:30:20.3208213Z  - 
2022-11-23T01:30:20.3208452Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3208573Z             {
2022-11-23T01:30:20.3208839Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3209269Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3209497Z                 'obj_weakref': None
2022-11-23T01:30:20.3209931Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3210049Z             }
2022-11-23T01:30:20.3210153Z             
2022-11-23T01:30:20.3210286Z  - 
2022-11-23T01:30:20.3210545Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3210667Z             {
2022-11-23T01:30:20.3210900Z                 'guard_types': None,
2022-11-23T01:30:20.3211111Z                 'code': None,
2022-11-23T01:30:20.3211322Z                 'obj_weakref': None
2022-11-23T01:30:20.3211558Z                 'guarded_class': None
2022-11-23T01:30:20.3211679Z             }
2022-11-23T01:30:20.3211802Z             
2022-11-23T01:30:20.3212327Z [2022-11-23 01:26:54,243] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 342
2022-11-23T01:30:20.3213075Z [2022-11-23 01:26:55,909] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u2/cu2zhkwutyettpsvbls2tr35gx3rmxaosnluy4s552ivc26hc2hj.py
2022-11-23T01:30:20.3213605Z [2022-11-23 01:26:55,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 342
2022-11-23T01:30:20.3213616Z 
2022-11-23T01:30:20.3213799Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3213915Z import torch
2022-11-23T01:30:20.3214054Z import random
2022-11-23T01:30:20.3214277Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3214519Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3214529Z 
2022-11-23T01:30:20.3214679Z aten = torch.ops.aten
2022-11-23T01:30:20.3214978Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3215161Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3215171Z 
2022-11-23T01:30:20.3215178Z 
2022-11-23T01:30:20.3215447Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3215838Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3216072Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3216270Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.3216551Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.3216741Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3216864Z {
2022-11-23T01:30:20.3217055Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3217157Z     {
2022-11-23T01:30:20.3217380Z         #pragma omp for 
2022-11-23T01:30:20.3217539Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:20.3217655Z         {
2022-11-23T01:30:20.3217781Z             {
2022-11-23T01:30:20.3217906Z                 {
2022-11-23T01:30:20.3218076Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3218218Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.3218341Z                 }
2022-11-23T01:30:20.3218461Z             }
2022-11-23T01:30:20.3218585Z         }
2022-11-23T01:30:20.3218736Z         #pragma omp single
2022-11-23T01:30:20.3218855Z         {
2022-11-23T01:30:20.3218959Z             {
2022-11-23T01:30:20.3219082Z                 {
2022-11-23T01:30:20.3219252Z                     auto tmp0 = in_ptr1[0];
2022-11-23T01:30:20.3219416Z                     auto tmp1 = in_ptr2[0];
2022-11-23T01:30:20.3219581Z                     out_ptr0[tmp0] = tmp1;
2022-11-23T01:30:20.3219706Z                 }
2022-11-23T01:30:20.3219827Z             }
2022-11-23T01:30:20.3219930Z         }
2022-11-23T01:30:20.3220054Z     }
2022-11-23T01:30:20.3220172Z }
2022-11-23T01:30:20.3220331Z ''')
2022-11-23T01:30:20.3220342Z 
2022-11-23T01:30:20.3220350Z 
2022-11-23T01:30:20.3220528Z async_compile.wait(globals())
2022-11-23T01:30:20.3220669Z del async_compile
2022-11-23T01:30:20.3220678Z 
2022-11-23T01:30:20.3220816Z def call(args):
2022-11-23T01:30:20.3220953Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.3221086Z     args.clear()
2022-11-23T01:30:20.3221468Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3221831Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3221961Z     del arg0_1
2022-11-23T01:30:20.3222092Z     del arg1_1
2022-11-23T01:30:20.3222218Z     del arg2_1
2022-11-23T01:30:20.3222354Z     return (buf0, )
2022-11-23T01:30:20.3222364Z 
2022-11-23T01:30:20.3222371Z 
2022-11-23T01:30:20.3222503Z if __name__ == "__main__":
2022-11-23T01:30:20.3222726Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3222966Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3223352Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3223732Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3224109Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3224346Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.3224353Z 
2022-11-23T01:30:20.3224482Z ok (1.692s)
2022-11-23T01:30:20.3225075Z   test_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:55,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3225711Z [2022-11-23 01:26:55,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3226151Z [2022-11-23 01:26:55,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3226720Z [2022-11-23 01:26:55,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3227283Z [2022-11-23 01:26:55,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3227932Z [2022-11-23 01:26:55,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3228638Z [2022-11-23 01:26:55,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3229287Z [2022-11-23 01:26:55,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3237742Z [2022-11-23 01:26:55,917] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d0df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3686> 
2022-11-23T01:30:20.3238053Z  3687           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3238245Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T01:30:20.3238402Z                4 LOAD_ATTR                2 (reduce)
2022-11-23T01:30:20.3238570Z                6 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3238745Z                8 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.3238916Z               10 LOAD_FAST                2 (index)
2022-11-23T01:30:20.3239082Z               12 LOAD_FAST                3 (b)
2022-11-23T01:30:20.3239394Z               14 LOAD_CONST               1 ('add')
2022-11-23T01:30:20.3239696Z               16 LOAD_CONST               2 (('reduce',))
2022-11-23T01:30:20.3239854Z               18 CALL_FUNCTION_KW         5
2022-11-23T01:30:20.3240003Z               20 RETURN_VALUE
2022-11-23T01:30:20.3240124Z  
2022-11-23T01:30:20.3240134Z 
2022-11-23T01:30:20.3240790Z [2022-11-23 01:26:55,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3687
2022-11-23T01:30:20.3241234Z [2022-11-23 01:26:55,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3241863Z [2022-11-23 01:26:55,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3242399Z [2022-11-23 01:26:55,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reduce [TorchVariable(aten.scatter)]
2022-11-23T01:30:20.3242941Z [2022-11-23 01:26:55,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter.reduce)]
2022-11-23T01:30:20.3243553Z [2022-11-23 01:26:55,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter.reduce), TensorVariable()]
2022-11-23T01:30:20.3244254Z [2022-11-23 01:26:55,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3244992Z [2022-11-23 01:26:55,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.3245809Z [2022-11-23 01:26:55,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3246727Z [2022-11-23 01:26:55,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:20.3247733Z [2022-11-23 01:26:55,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:20.3248280Z [2022-11-23 01:26:55,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3249054Z [2022-11-23 01:26:55,925] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d0df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3686>
2022-11-23T01:30:20.3249551Z [2022-11-23 01:26:55,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3250027Z [2022-11-23 01:26:55,925] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3250535Z [2022-11-23 01:26:55,926] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3251040Z [2022-11-23 01:26:55,928] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3251457Z [2022-11-23 01:26:55,929] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3251703Z  __compiled_fn_350 <eval_with_key>.2917 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3251877Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3252047Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3252213Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:20.3252675Z call_function, scatter_reduce, aten.scatter.reduce, (ex_0_, 0, ex_2_, ex_3_), {'reduce': 'add'}
2022-11-23T01:30:20.3252890Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:30:20.3252901Z 
2022-11-23T01:30:20.3253561Z [2022-11-23 01:26:55,929] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3253743Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3253894Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3254065Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3254240Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3254401Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3254574Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3254721Z              12 RETURN_VALUE
2022-11-23T01:30:20.3254730Z 
2022-11-23T01:30:20.3254850Z  
2022-11-23T01:30:20.3255504Z [2022-11-23 01:26:55,929] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3255693Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_350)
2022-11-23T01:30:20.3255861Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3256032Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3256182Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3256349Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3256628Z              10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3256784Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3256931Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3257102Z              16 LOAD_CONST               3 (3)
2022-11-23T01:30:20.3257250Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.3257421Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.3257595Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3257741Z              24 RETURN_VALUE
2022-11-23T01:30:20.3257749Z 
2022-11-23T01:30:20.3257871Z  
2022-11-23T01:30:20.3258215Z [2022-11-23 01:26:55,930] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3258351Z  - 
2022-11-23T01:30:20.3258585Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3258715Z             {
2022-11-23T01:30:20.3258996Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3259367Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:20.3259603Z                 'obj_weakref': None
2022-11-23T01:30:20.3260036Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3260162Z             }
2022-11-23T01:30:20.3260414Z             
2022-11-23T01:30:20.3260553Z  - 
2022-11-23T01:30:20.3260799Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3260923Z             {
2022-11-23T01:30:20.3261201Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3261394Z                 'code': None,
2022-11-23T01:30:20.3261813Z                 'obj_weakref': <weakref at 0x7ff57f944b30; to 'Tensor' at 0x7ff58ffd1440>
2022-11-23T01:30:20.3262317Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3262440Z             }
2022-11-23T01:30:20.3262565Z             
2022-11-23T01:30:20.3262702Z  - 
2022-11-23T01:30:20.3262953Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:20.3263061Z             {
2022-11-23T01:30:20.3263397Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.3263761Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == 0'],
2022-11-23T01:30:20.3263999Z                 'obj_weakref': None
2022-11-23T01:30:20.3264444Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.3264571Z             }
2022-11-23T01:30:20.3264699Z             
2022-11-23T01:30:20.3264815Z  - 
2022-11-23T01:30:20.3265060Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3265182Z             {
2022-11-23T01:30:20.3265460Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3265675Z                 'code': None,
2022-11-23T01:30:20.3266102Z                 'obj_weakref': <weakref at 0x7ff57ef2b0b0; to 'Tensor' at 0x7ff58ff64bd0>
2022-11-23T01:30:20.3266607Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3266713Z             }
2022-11-23T01:30:20.3266841Z             
2022-11-23T01:30:20.3266975Z  - 
2022-11-23T01:30:20.3267220Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.3267344Z             {
2022-11-23T01:30:20.3267635Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3267847Z                 'code': None,
2022-11-23T01:30:20.3268244Z                 'obj_weakref': <weakref at 0x7ff57f8b37e0; to 'Tensor' at 0x7ff57efa27a0>
2022-11-23T01:30:20.3268748Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3268873Z             }
2022-11-23T01:30:20.3268997Z             
2022-11-23T01:30:20.3269134Z  - 
2022-11-23T01:30:20.3269390Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3269511Z             {
2022-11-23T01:30:20.3269747Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3270084Z                 'code': ['___check_obj_id(model, 140692656233136)'],
2022-11-23T01:30:20.3270319Z                 'obj_weakref': None
2022-11-23T01:30:20.3270769Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3270897Z             }
2022-11-23T01:30:20.3271021Z             
2022-11-23T01:30:20.3271157Z  - 
2022-11-23T01:30:20.3271379Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3271508Z             {
2022-11-23T01:30:20.3271774Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3272196Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3272433Z                 'obj_weakref': None
2022-11-23T01:30:20.3272865Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3272994Z             }
2022-11-23T01:30:20.3273098Z             
2022-11-23T01:30:20.3273235Z  - 
2022-11-23T01:30:20.3273492Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3273617Z             {
2022-11-23T01:30:20.3273917Z                 'guard_types': None,
2022-11-23T01:30:20.3274133Z                 'code': None,
2022-11-23T01:30:20.3274368Z                 'obj_weakref': None
2022-11-23T01:30:20.3274637Z                 'guarded_class': None
2022-11-23T01:30:20.3274767Z             }
2022-11-23T01:30:20.3274890Z             
2022-11-23T01:30:20.3275421Z [2022-11-23 01:26:55,935] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 343
2022-11-23T01:30:20.3276168Z [2022-11-23 01:26:57,353] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ra/crahd6hlrzl742jd6dv5kl3h2abxrahzcrkxvfwiss7tnnbqk2wi.py
2022-11-23T01:30:20.3276704Z [2022-11-23 01:26:57,353] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 343
2022-11-23T01:30:20.3276714Z 
2022-11-23T01:30:20.3276901Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3277038Z import torch
2022-11-23T01:30:20.3277154Z import random
2022-11-23T01:30:20.3277429Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3277675Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3277685Z 
2022-11-23T01:30:20.3277838Z aten = torch.ops.aten
2022-11-23T01:30:20.3278105Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3278288Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3278296Z 
2022-11-23T01:30:20.3278304Z 
2022-11-23T01:30:20.3278576Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3278984Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3279204Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3279404Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.3279604Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.3279799Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3279918Z {
2022-11-23T01:30:20.3280117Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3280242Z     {
2022-11-23T01:30:20.3280375Z         #pragma omp for 
2022-11-23T01:30:20.3280532Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:30:20.3280658Z         {
2022-11-23T01:30:20.3280931Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3281113Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3281234Z         }
2022-11-23T01:30:20.3281422Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3281569Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:30:20.3281691Z         {
2022-11-23T01:30:20.3281858Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3282012Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.3282136Z         }
2022-11-23T01:30:20.3282284Z         #pragma omp for 
2022-11-23T01:30:20.3282440Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:20.3282543Z         {
2022-11-23T01:30:20.3282697Z             #pragma GCC ivdep
2022-11-23T01:30:20.3282865Z             for(long i1=0; i1<512; i1+=1)
2022-11-23T01:30:20.3282989Z             {
2022-11-23T01:30:20.3283114Z                 {
2022-11-23T01:30:20.3283241Z                     {
2022-11-23T01:30:20.3283422Z                         auto tmp0 = in_ptr1[i1 + (512*i0)];
2022-11-23T01:30:20.3283616Z                         auto tmp1 = in_ptr2[i1 + (512*i0)];
2022-11-23T01:30:20.3283837Z                         atomic_add(&out_ptr0[i1 + (512*tmp0)], tmp1);
2022-11-23T01:30:20.3283965Z                     }
2022-11-23T01:30:20.3284096Z                 }
2022-11-23T01:30:20.3284218Z             }
2022-11-23T01:30:20.3284342Z         }
2022-11-23T01:30:20.3284444Z     }
2022-11-23T01:30:20.3284559Z }
2022-11-23T01:30:20.3284708Z ''')
2022-11-23T01:30:20.3284718Z 
2022-11-23T01:30:20.3284725Z 
2022-11-23T01:30:20.3284905Z async_compile.wait(globals())
2022-11-23T01:30:20.3285045Z del async_compile
2022-11-23T01:30:20.3285054Z 
2022-11-23T01:30:20.3285193Z def call(args):
2022-11-23T01:30:20.3285356Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.3285476Z     args.clear()
2022-11-23T01:30:20.3285878Z     buf0 = empty_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3286285Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3286418Z     del arg0_1
2022-11-23T01:30:20.3286547Z     del arg1_1
2022-11-23T01:30:20.3286677Z     del arg2_1
2022-11-23T01:30:20.3286813Z     return (buf0, )
2022-11-23T01:30:20.3286822Z 
2022-11-23T01:30:20.3286829Z 
2022-11-23T01:30:20.3286977Z if __name__ == "__main__":
2022-11-23T01:30:20.3287181Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3287423Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3287826Z     arg0_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3288225Z     arg1_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3288663Z     arg2_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3288898Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.3288911Z 
2022-11-23T01:30:20.3289041Z ok (1.444s)
2022-11-23T01:30:20.3289654Z   test_scatter3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3290273Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3290714Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3291229Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3291796Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3292456Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3293163Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3293824Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3294590Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d0f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700> 
2022-11-23T01:30:20.3294771Z  3701           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3294954Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T01:30:20.3295109Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3295281Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.3295449Z                8 LOAD_FAST                2 (index)
2022-11-23T01:30:20.3295621Z               10 LOAD_FAST                3 (b)
2022-11-23T01:30:20.3295895Z               12 LOAD_CONST               1 ('add')
2022-11-23T01:30:20.3296187Z               14 LOAD_CONST               2 (('reduce',))
2022-11-23T01:30:20.3296361Z               16 CALL_FUNCTION_KW         5
2022-11-23T01:30:20.3296597Z               18 RETURN_VALUE
2022-11-23T01:30:20.3296717Z  
2022-11-23T01:30:20.3296726Z 
2022-11-23T01:30:20.3297370Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3701
2022-11-23T01:30:20.3297805Z [2022-11-23 01:26:57,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3298439Z [2022-11-23 01:26:57,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3299049Z [2022-11-23 01:26:57,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:30:20.3299641Z [2022-11-23 01:26:57,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:30:20.3300311Z [2022-11-23 01:26:57,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3301029Z [2022-11-23 01:26:57,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.3301839Z [2022-11-23 01:26:57,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.3302824Z [2022-11-23 01:26:57,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:30:20.3303822Z [2022-11-23 01:26:57,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:30:20.3304304Z [2022-11-23 01:26:57,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3305085Z [2022-11-23 01:26:57,368] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d0f50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3700>
2022-11-23T01:30:20.3305576Z [2022-11-23 01:26:57,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3306054Z [2022-11-23 01:26:57,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3306568Z [2022-11-23 01:26:57,369] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3307070Z [2022-11-23 01:26:57,372] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3307447Z [2022-11-23 01:26:57,372] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3307709Z  __compiled_fn_351 <eval_with_key>.2923 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3307885Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3308037Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3308440Z call_function, scatter, aten.scatter, (ex_0_, 2, ex_2_, 0.8), {'reduce': 'add'}
2022-11-23T01:30:20.3308638Z output, output, output, ((scatter,),), {}
2022-11-23T01:30:20.3308648Z 
2022-11-23T01:30:20.3309308Z [2022-11-23 01:26:57,372] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3309489Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3309664Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3309833Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3310012Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3310160Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3310328Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3310474Z              12 RETURN_VALUE
2022-11-23T01:30:20.3310482Z 
2022-11-23T01:30:20.3310602Z  
2022-11-23T01:30:20.3311261Z [2022-11-23 01:26:57,372] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3311474Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_351)
2022-11-23T01:30:20.3311642Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3311798Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3311948Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3312160Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3312328Z              10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3312477Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3312650Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.3312824Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3312950Z              18 RETURN_VALUE
2022-11-23T01:30:20.3312978Z 
2022-11-23T01:30:20.3313077Z  
2022-11-23T01:30:20.3313433Z [2022-11-23 01:26:57,373] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3313565Z  - 
2022-11-23T01:30:20.3313859Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3313982Z             {
2022-11-23T01:30:20.3314264Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3314631Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:20.3314904Z                 'obj_weakref': None
2022-11-23T01:30:20.3315350Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3315477Z             }
2022-11-23T01:30:20.3315599Z             
2022-11-23T01:30:20.3315736Z  - 
2022-11-23T01:30:20.3315980Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3316100Z             {
2022-11-23T01:30:20.3316358Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3316568Z                 'code': None,
2022-11-23T01:30:20.3316985Z                 'obj_weakref': <weakref at 0x7ff57ef2b240; to 'Tensor' at 0x7ff58ffd1440>
2022-11-23T01:30:20.3317480Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3317604Z             }
2022-11-23T01:30:20.3317724Z             
2022-11-23T01:30:20.3317857Z  - 
2022-11-23T01:30:20.3318092Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:20.3318218Z             {
2022-11-23T01:30:20.3318500Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.3318862Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == 2'],
2022-11-23T01:30:20.3319096Z                 'obj_weakref': None
2022-11-23T01:30:20.3319527Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.3319648Z             }
2022-11-23T01:30:20.3319754Z             
2022-11-23T01:30:20.3319889Z  - 
2022-11-23T01:30:20.3320133Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3320258Z             {
2022-11-23T01:30:20.3320533Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3320738Z                 'code': None,
2022-11-23T01:30:20.3321161Z                 'obj_weakref': <weakref at 0x7ff57f8e0ae0; to 'Tensor' at 0x7ff57efbbf60>
2022-11-23T01:30:20.3321640Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3321764Z             }
2022-11-23T01:30:20.3321886Z             
2022-11-23T01:30:20.3322020Z  - 
2022-11-23T01:30:20.3322278Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:30:20.3322402Z             {
2022-11-23T01:30:20.3322683Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.3323034Z                 'code': ['___check_type_id(ex[3], 94571819099168)', 'ex[3] == 0.8'],
2022-11-23T01:30:20.3323265Z                 'obj_weakref': None
2022-11-23T01:30:20.3323693Z                 'guarded_class': <weakref at 0x7ff64e203510; to 'type' at 0x560337aee420 (float)>
2022-11-23T01:30:20.3323818Z             }
2022-11-23T01:30:20.3323942Z             
2022-11-23T01:30:20.3324079Z  - 
2022-11-23T01:30:20.3324335Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3324438Z             {
2022-11-23T01:30:20.3324704Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3325032Z                 'code': ['___check_obj_id(model, 140693062684384)'],
2022-11-23T01:30:20.3325271Z                 'obj_weakref': None
2022-11-23T01:30:20.3325759Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3325885Z             }
2022-11-23T01:30:20.3326007Z             
2022-11-23T01:30:20.3326123Z  - 
2022-11-23T01:30:20.3326360Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3326485Z             {
2022-11-23T01:30:20.3326752Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3327178Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3327408Z                 'obj_weakref': None
2022-11-23T01:30:20.3327834Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3327937Z             }
2022-11-23T01:30:20.3328061Z             
2022-11-23T01:30:20.3328192Z  - 
2022-11-23T01:30:20.3328450Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3328613Z             {
2022-11-23T01:30:20.3328847Z                 'guard_types': None,
2022-11-23T01:30:20.3329036Z                 'code': None,
2022-11-23T01:30:20.3329268Z                 'obj_weakref': None
2022-11-23T01:30:20.3329508Z                 'guarded_class': None
2022-11-23T01:30:20.3329633Z             }
2022-11-23T01:30:20.3329756Z             
2022-11-23T01:30:20.3330277Z [2022-11-23 01:26:57,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 344
2022-11-23T01:30:20.3331031Z [2022-11-23 01:26:58,792] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/to/ctonwhnenzm4rmtfzkxt6zngb4dr5j5d7wqk6lsleetg5wpqxofl.py
2022-11-23T01:30:20.3331563Z [2022-11-23 01:26:58,792] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 344
2022-11-23T01:30:20.3331573Z 
2022-11-23T01:30:20.3331740Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3331873Z import torch
2022-11-23T01:30:20.3332020Z import random
2022-11-23T01:30:20.3332245Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3332485Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3332497Z 
2022-11-23T01:30:20.3332646Z aten = torch.ops.aten
2022-11-23T01:30:20.3332908Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3333086Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3333097Z 
2022-11-23T01:30:20.3333105Z 
2022-11-23T01:30:20.3333349Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3333754Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3333987Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3334185Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.3334373Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3334494Z {
2022-11-23T01:30:20.3334684Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3334788Z     {
2022-11-23T01:30:20.3334937Z         #pragma omp for 
2022-11-23T01:30:20.3335098Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T01:30:20.3335226Z         {
2022-11-23T01:30:20.3335485Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3335663Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3335784Z         }
2022-11-23T01:30:20.3335951Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3336109Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T01:30:20.3336230Z         {
2022-11-23T01:30:20.3336392Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3336627Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.3336746Z         }
2022-11-23T01:30:20.3336893Z         #pragma omp for 
2022-11-23T01:30:20.3337032Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.3337153Z         {
2022-11-23T01:30:20.3337274Z             {
2022-11-23T01:30:20.3337398Z                 {
2022-11-23T01:30:20.3337576Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:20.3337778Z                     auto tmp1 = static_cast<float>(0.8);
2022-11-23T01:30:20.3338050Z                     atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:30:20.3338160Z                 }
2022-11-23T01:30:20.3338280Z             }
2022-11-23T01:30:20.3338410Z         }
2022-11-23T01:30:20.3338529Z     }
2022-11-23T01:30:20.3338649Z }
2022-11-23T01:30:20.3338809Z ''')
2022-11-23T01:30:20.3338819Z 
2022-11-23T01:30:20.3338826Z 
2022-11-23T01:30:20.3339004Z async_compile.wait(globals())
2022-11-23T01:30:20.3339127Z del async_compile
2022-11-23T01:30:20.3339137Z 
2022-11-23T01:30:20.3339277Z def call(args):
2022-11-23T01:30:20.3339425Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.3339565Z     args.clear()
2022-11-23T01:30:20.3339984Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3340297Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3340482Z     del arg0_1
2022-11-23T01:30:20.3340592Z     del arg1_1
2022-11-23T01:30:20.3340732Z     return (buf0, )
2022-11-23T01:30:20.3340741Z 
2022-11-23T01:30:20.3340753Z 
2022-11-23T01:30:20.3340900Z if __name__ == "__main__":
2022-11-23T01:30:20.3341118Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3341362Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3341773Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3342164Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3342383Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.3342392Z 
2022-11-23T01:30:20.3342504Z ok (1.438s)
2022-11-23T01:30:20.3343129Z   test_scatter4_cpu (__main__.CpuTests) ... [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3343778Z [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3344214Z [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3344725Z [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3345284Z [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3345934Z [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3346645Z [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3347294Z [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3348062Z [2022-11-23 01:26:58,802] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d10b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719> 
2022-11-23T01:30:20.3348225Z  3720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3348411Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:30:20.3348584Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3348756Z                6 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3348928Z                8 LOAD_FAST                1 (ind)
2022-11-23T01:30:20.3349102Z               10 LOAD_FAST                2 (src)
2022-11-23T01:30:20.3349269Z               12 CALL_METHOD              4
2022-11-23T01:30:20.3349416Z               14 RETURN_VALUE
2022-11-23T01:30:20.3349518Z  
2022-11-23T01:30:20.3349528Z 
2022-11-23T01:30:20.3350179Z [2022-11-23 01:26:58,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3720
2022-11-23T01:30:20.3350665Z [2022-11-23 01:26:58,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3351427Z [2022-11-23 01:26:58,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3352079Z [2022-11-23 01:26:58,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method scatter of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3352799Z [2022-11-23 01:26:58,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method scatter of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3353603Z [2022-11-23 01:26:58,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ind [TorchVariable(<built-in method scatter of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3354572Z [2022-11-23 01:26:58,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src [TorchVariable(<built-in method scatter of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.3355493Z [2022-11-23 01:26:58,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method scatter of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3355986Z [2022-11-23 01:26:58,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3356751Z [2022-11-23 01:26:58,804] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d10b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3719>
2022-11-23T01:30:20.3357228Z [2022-11-23 01:26:58,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3357697Z [2022-11-23 01:26:58,804] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3358200Z [2022-11-23 01:26:58,805] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3358703Z [2022-11-23 01:26:58,810] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3359076Z [2022-11-23 01:26:58,810] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3359337Z  __compiled_fn_352 <eval_with_key>.2929 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3359511Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3359681Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.3359842Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3360330Z call_function, scatter, <built-in method scatter of type object at 0x7ff5d7c59c60>, (ex_0_, 0, ex_1_, ex_2_), {}
2022-11-23T01:30:20.3360531Z output, output, output, ((scatter,),), {}
2022-11-23T01:30:20.3360541Z 
2022-11-23T01:30:20.3361204Z [2022-11-23 01:26:58,810] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3361381Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3361554Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3361723Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3361897Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3362063Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3362217Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3362362Z              12 RETURN_VALUE
2022-11-23T01:30:20.3362372Z 
2022-11-23T01:30:20.3362490Z  
2022-11-23T01:30:20.3363138Z [2022-11-23 01:26:58,810] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3363346Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_352)
2022-11-23T01:30:20.3363560Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3363732Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3363863Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3364033Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3364205Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3364352Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3364520Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3364688Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.3364831Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.3364976Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.3365151Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3365299Z              24 RETURN_VALUE
2022-11-23T01:30:20.3365345Z 
2022-11-23T01:30:20.3365465Z  
2022-11-23T01:30:20.3365831Z [2022-11-23 01:26:58,811] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3365970Z  - 
2022-11-23T01:30:20.3366209Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3366320Z             {
2022-11-23T01:30:20.3366598Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3366968Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:20.3367202Z                 'obj_weakref': None
2022-11-23T01:30:20.3367638Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3367764Z             }
2022-11-23T01:30:20.3367887Z             
2022-11-23T01:30:20.3368004Z  - 
2022-11-23T01:30:20.3368249Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3368375Z             {
2022-11-23T01:30:20.3368657Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3368868Z                 'code': None,
2022-11-23T01:30:20.3369294Z                 'obj_weakref': <weakref at 0x7ff58f9abce0; to 'Tensor' at 0x7ff57ef05940>
2022-11-23T01:30:20.3369800Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3369923Z             }
2022-11-23T01:30:20.3370031Z             
2022-11-23T01:30:20.3370164Z  - 
2022-11-23T01:30:20.3370404Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.3370529Z             {
2022-11-23T01:30:20.3370810Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3371019Z                 'code': None,
2022-11-23T01:30:20.3371417Z                 'obj_weakref': <weakref at 0x7ff58f9a9670; to 'Tensor' at 0x7ff57f913ec0>
2022-11-23T01:30:20.3371913Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3372040Z             }
2022-11-23T01:30:20.3372163Z             
2022-11-23T01:30:20.3372300Z  - 
2022-11-23T01:30:20.3372548Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3372673Z             {
2022-11-23T01:30:20.3372935Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3373147Z                 'code': None,
2022-11-23T01:30:20.3373564Z                 'obj_weakref': <weakref at 0x7ff58f9aa520; to 'Tensor' at 0x7ff57f910720>
2022-11-23T01:30:20.3374059Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3374185Z             }
2022-11-23T01:30:20.3374310Z             
2022-11-23T01:30:20.3374444Z  - 
2022-11-23T01:30:20.3374703Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3374808Z             {
2022-11-23T01:30:20.3375067Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3375400Z                 'code': ['___check_obj_id(model, 140692656227808)'],
2022-11-23T01:30:20.3375631Z                 'obj_weakref': None
2022-11-23T01:30:20.3376085Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3376210Z             }
2022-11-23T01:30:20.3376331Z             
2022-11-23T01:30:20.3376541Z  - 
2022-11-23T01:30:20.3376818Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3376947Z             {
2022-11-23T01:30:20.3377217Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3377652Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3377889Z                 'obj_weakref': None
2022-11-23T01:30:20.3378326Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3378434Z             }
2022-11-23T01:30:20.3378555Z             
2022-11-23T01:30:20.3378692Z  - 
2022-11-23T01:30:20.3378958Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3379083Z             {
2022-11-23T01:30:20.3379322Z                 'guard_types': None,
2022-11-23T01:30:20.3379511Z                 'code': None,
2022-11-23T01:30:20.3379794Z                 'obj_weakref': None
2022-11-23T01:30:20.3380034Z                 'guarded_class': None
2022-11-23T01:30:20.3380154Z             }
2022-11-23T01:30:20.3380284Z             
2022-11-23T01:30:20.3380797Z [2022-11-23 01:26:58,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 345
2022-11-23T01:30:20.3381545Z [2022-11-23 01:27:00,368] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yi/cyiigag5vcjlgbhgtjqvobflivtehq7ff2sjcat6uvn6mxxcgxp6.py
2022-11-23T01:30:20.3382072Z [2022-11-23 01:27:00,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 345
2022-11-23T01:30:20.3382083Z 
2022-11-23T01:30:20.3382245Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3382382Z import torch
2022-11-23T01:30:20.3382519Z import random
2022-11-23T01:30:20.3382746Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3382979Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3382992Z 
2022-11-23T01:30:20.3383144Z aten = torch.ops.aten
2022-11-23T01:30:20.3383403Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3383586Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3383597Z 
2022-11-23T01:30:20.3383604Z 
2022-11-23T01:30:20.3383847Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3384249Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3384481Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3384679Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.3384884Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.3385072Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3385191Z {
2022-11-23T01:30:20.3385367Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3385483Z     {
2022-11-23T01:30:20.3385634Z         #pragma omp for 
2022-11-23T01:30:20.3385800Z         for(long i0=0; i0<24304; i0+=1)
2022-11-23T01:30:20.3385921Z         {
2022-11-23T01:30:20.3386189Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3386369Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3386472Z         }
2022-11-23T01:30:20.3386657Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3386826Z         for(long i0=194432; i0<194432; i0+=1)
2022-11-23T01:30:20.3386949Z         {
2022-11-23T01:30:20.3387110Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3387261Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.3387383Z         }
2022-11-23T01:30:20.3387511Z         #pragma omp for 
2022-11-23T01:30:20.3387670Z         for(long i0=0; i0<992; i0+=1)
2022-11-23T01:30:20.3387795Z         {
2022-11-23T01:30:20.3387921Z             {
2022-11-23T01:30:20.3388045Z                 {
2022-11-23T01:30:20.3388219Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:20.3388395Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:30:20.3388558Z                     out_ptr0[i0 + (992*tmp0)] = tmp1;
2022-11-23T01:30:20.3388684Z                 }
2022-11-23T01:30:20.3388867Z             }
2022-11-23T01:30:20.3388986Z         }
2022-11-23T01:30:20.3389107Z     }
2022-11-23T01:30:20.3389224Z }
2022-11-23T01:30:20.3389361Z ''')
2022-11-23T01:30:20.3389384Z 
2022-11-23T01:30:20.3389393Z 
2022-11-23T01:30:20.3389548Z async_compile.wait(globals())
2022-11-23T01:30:20.3389686Z del async_compile
2022-11-23T01:30:20.3389694Z 
2022-11-23T01:30:20.3389830Z def call(args):
2022-11-23T01:30:20.3389988Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.3390121Z     args.clear()
2022-11-23T01:30:20.3390525Z     buf0 = empty_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3390892Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3391044Z     del arg0_1
2022-11-23T01:30:20.3391176Z     del arg1_1
2022-11-23T01:30:20.3391313Z     del arg2_1
2022-11-23T01:30:20.3391451Z     return (buf0, )
2022-11-23T01:30:20.3391461Z 
2022-11-23T01:30:20.3391468Z 
2022-11-23T01:30:20.3391614Z if __name__ == "__main__":
2022-11-23T01:30:20.3391835Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3392075Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3392473Z     arg0_1 = rand_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3392837Z     arg1_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3393237Z     arg2_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3393471Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.3393481Z 
2022-11-23T01:30:20.3393607Z ok (1.585s)
2022-11-23T01:30:20.3393958Z   test_scatter_add1_cpu (__main__.CpuTests) ... skip: Flaky test, needs debugging (0.001s)
2022-11-23T01:30:20.3394605Z   test_scatter_add2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:00,386] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3395263Z [2022-11-23 01:27:00,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3395697Z [2022-11-23 01:27:00,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3396201Z [2022-11-23 01:27:00,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3396741Z [2022-11-23 01:27:00,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3397397Z [2022-11-23 01:27:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3398107Z [2022-11-23 01:27:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3398775Z [2022-11-23 01:27:00,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3399544Z [2022-11-23 01:27:00,388] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d1370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743> 
2022-11-23T01:30:20.3399727Z  3744           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3399928Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:30:20.3400100Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3400272Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.3400428Z                8 LOAD_FAST                2 (index)
2022-11-23T01:30:20.3400599Z               10 LOAD_FAST                3 (b)
2022-11-23T01:30:20.3400773Z               12 CALL_METHOD              4
2022-11-23T01:30:20.3400920Z               14 RETURN_VALUE
2022-11-23T01:30:20.3401041Z  
2022-11-23T01:30:20.3401051Z 
2022-11-23T01:30:20.3401754Z [2022-11-23 01:27:00,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3744
2022-11-23T01:30:20.3402196Z [2022-11-23 01:27:00,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3402828Z [2022-11-23 01:27:00,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3403338Z [2022-11-23 01:27:00,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:30:20.3403931Z [2022-11-23 01:27:00,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:30:20.3404658Z [2022-11-23 01:27:00,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3405375Z [2022-11-23 01:27:00,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.3406172Z [2022-11-23 01:27:00,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3406668Z [2022-11-23 01:27:00,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3407432Z [2022-11-23 01:27:00,401] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d1370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3743>
2022-11-23T01:30:20.3407927Z [2022-11-23 01:27:00,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3408398Z [2022-11-23 01:27:00,401] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3408902Z [2022-11-23 01:27:00,403] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3409403Z [2022-11-23 01:27:00,408] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3409757Z [2022-11-23 01:27:00,409] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3410015Z  __compiled_fn_353 <eval_with_key>.2935 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3410186Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3410353Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3410523Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:20.3410785Z call_function, scatter_add, aten.scatter_add, (ex_0_, 0, ex_2_, ex_3_), {}
2022-11-23T01:30:20.3410997Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:30:20.3411007Z 
2022-11-23T01:30:20.3411664Z [2022-11-23 01:27:00,409] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3411823Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3411992Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3412159Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3412335Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3412497Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3412668Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3412811Z              12 RETURN_VALUE
2022-11-23T01:30:20.3412820Z 
2022-11-23T01:30:20.3412919Z  
2022-11-23T01:30:20.3413572Z [2022-11-23 01:27:00,410] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3413783Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_353)
2022-11-23T01:30:20.3413953Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3414158Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3414308Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3414475Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3414639Z              10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3414765Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3414932Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3415095Z              16 LOAD_CONST               3 (3)
2022-11-23T01:30:20.3415240Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.3415407Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.3415580Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3415721Z              24 RETURN_VALUE
2022-11-23T01:30:20.3415731Z 
2022-11-23T01:30:20.3415828Z  
2022-11-23T01:30:20.3416227Z [2022-11-23 01:27:00,411] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3416359Z  - 
2022-11-23T01:30:20.3416697Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3416823Z             {
2022-11-23T01:30:20.3417107Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3417476Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:20.3417694Z                 'obj_weakref': None
2022-11-23T01:30:20.3418130Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3418255Z             }
2022-11-23T01:30:20.3418380Z             
2022-11-23T01:30:20.3418518Z  - 
2022-11-23T01:30:20.3418764Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3418886Z             {
2022-11-23T01:30:20.3419145Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3419355Z                 'code': None,
2022-11-23T01:30:20.3419779Z                 'obj_weakref': <weakref at 0x7ff57f8e1fd0; to 'Tensor' at 0x7ff57efa0cc0>
2022-11-23T01:30:20.3420277Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3420407Z             }
2022-11-23T01:30:20.3420531Z             
2022-11-23T01:30:20.3420666Z  - 
2022-11-23T01:30:20.3420906Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:20.3421031Z             {
2022-11-23T01:30:20.3421317Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.3421681Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == 0'],
2022-11-23T01:30:20.3421913Z                 'obj_weakref': None
2022-11-23T01:30:20.3422341Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.3422467Z             }
2022-11-23T01:30:20.3422568Z             
2022-11-23T01:30:20.3422704Z  - 
2022-11-23T01:30:20.3422949Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3423077Z             {
2022-11-23T01:30:20.3423359Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3423570Z                 'code': None,
2022-11-23T01:30:20.3423995Z                 'obj_weakref': <weakref at 0x7ff57f8e28e0; to 'Tensor' at 0x7ff57f8b2d40>
2022-11-23T01:30:20.3424468Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3424593Z             }
2022-11-23T01:30:20.3424717Z             
2022-11-23T01:30:20.3424854Z  - 
2022-11-23T01:30:20.3425099Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.3425218Z             {
2022-11-23T01:30:20.3425495Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3425691Z                 'code': None,
2022-11-23T01:30:20.3426101Z                 'obj_weakref': <weakref at 0x7ff57f8e3740; to 'Tensor' at 0x7ff57f8b3dd0>
2022-11-23T01:30:20.3426601Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3426728Z             }
2022-11-23T01:30:20.3426852Z             
2022-11-23T01:30:20.3426989Z  - 
2022-11-23T01:30:20.3427245Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3427438Z             {
2022-11-23T01:30:20.3427709Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3428045Z                 'code': ['___check_obj_id(model, 140693070729936)'],
2022-11-23T01:30:20.3428279Z                 'obj_weakref': None
2022-11-23T01:30:20.3428730Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3428857Z             }
2022-11-23T01:30:20.3428981Z             
2022-11-23T01:30:20.3429098Z  - 
2022-11-23T01:30:20.3429338Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3429462Z             {
2022-11-23T01:30:20.3429729Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3430159Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3430445Z                 'obj_weakref': None
2022-11-23T01:30:20.3430880Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3430988Z             }
2022-11-23T01:30:20.3431112Z             
2022-11-23T01:30:20.3431245Z  - 
2022-11-23T01:30:20.3431502Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3431624Z             {
2022-11-23T01:30:20.3431854Z                 'guard_types': None,
2022-11-23T01:30:20.3432059Z                 'code': None,
2022-11-23T01:30:20.3432269Z                 'obj_weakref': None
2022-11-23T01:30:20.3432510Z                 'guarded_class': None
2022-11-23T01:30:20.3432634Z             }
2022-11-23T01:30:20.3432757Z             
2022-11-23T01:30:20.3433275Z [2022-11-23 01:27:00,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 346
2022-11-23T01:30:20.3434086Z [2022-11-23 01:27:01,857] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bh/cbhzx4is3nt3mcxwg77yorsikzumalgzkhix3nmk5dypg4sw4qx7.py
2022-11-23T01:30:20.3434633Z [2022-11-23 01:27:01,857] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 346
2022-11-23T01:30:20.3434645Z 
2022-11-23T01:30:20.3434830Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3434948Z import torch
2022-11-23T01:30:20.3435083Z import random
2022-11-23T01:30:20.3435307Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3435544Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3435552Z 
2022-11-23T01:30:20.3435705Z aten = torch.ops.aten
2022-11-23T01:30:20.3435969Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3436147Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3436157Z 
2022-11-23T01:30:20.3436166Z 
2022-11-23T01:30:20.3436408Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3436811Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3437046Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3437248Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.3437452Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.3437637Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3437762Z {
2022-11-23T01:30:20.3437934Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3438052Z     {
2022-11-23T01:30:20.3438199Z         #pragma omp for 
2022-11-23T01:30:20.3438357Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:20.3438474Z         {
2022-11-23T01:30:20.3438596Z             {
2022-11-23T01:30:20.3438704Z                 {
2022-11-23T01:30:20.3438875Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3439038Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.3439164Z                 }
2022-11-23T01:30:20.3439286Z             }
2022-11-23T01:30:20.3439407Z         }
2022-11-23T01:30:20.3439554Z         #pragma omp for 
2022-11-23T01:30:20.3439688Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.3439802Z         {
2022-11-23T01:30:20.3440012Z             #pragma GCC ivdep
2022-11-23T01:30:20.3440171Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.3440288Z             {
2022-11-23T01:30:20.3440409Z                 {
2022-11-23T01:30:20.3440534Z                     {
2022-11-23T01:30:20.3440706Z                         auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:30:20.3440884Z                         auto tmp1 = in_ptr2[i1 + (3*i0)];
2022-11-23T01:30:20.3441046Z                         atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1);
2022-11-23T01:30:20.3441133Z                     }
2022-11-23T01:30:20.3441224Z                 }
2022-11-23T01:30:20.3441315Z             }
2022-11-23T01:30:20.3441407Z         }
2022-11-23T01:30:20.3441478Z     }
2022-11-23T01:30:20.3441559Z }
2022-11-23T01:30:20.3441687Z ''')
2022-11-23T01:30:20.3441694Z 
2022-11-23T01:30:20.3441747Z 
2022-11-23T01:30:20.3441888Z async_compile.wait(globals())
2022-11-23T01:30:20.3441986Z del async_compile
2022-11-23T01:30:20.3441995Z 
2022-11-23T01:30:20.3442124Z def call(args):
2022-11-23T01:30:20.3442276Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.3442385Z     args.clear()
2022-11-23T01:30:20.3442757Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3443098Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3443226Z     del arg0_1
2022-11-23T01:30:20.3443344Z     del arg1_1
2022-11-23T01:30:20.3443464Z     del arg2_1
2022-11-23T01:30:20.3443590Z     return (buf0, )
2022-11-23T01:30:20.3443598Z 
2022-11-23T01:30:20.3443607Z 
2022-11-23T01:30:20.3443740Z if __name__ == "__main__":
2022-11-23T01:30:20.3443926Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3444127Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3444509Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3444888Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3445270Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3445502Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.3445510Z 
2022-11-23T01:30:20.3445639Z ok (1.479s)
2022-11-23T01:30:20.3446247Z   test_scatter_add3_cpu (__main__.CpuTests) ... [2022-11-23 01:27:01,865] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3446890Z [2022-11-23 01:27:01,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3447323Z [2022-11-23 01:27:01,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3447828Z [2022-11-23 01:27:01,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3448395Z [2022-11-23 01:27:01,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3449042Z [2022-11-23 01:27:01,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3449748Z [2022-11-23 01:27:01,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3450401Z [2022-11-23 01:27:01,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3451164Z [2022-11-23 01:27:01,866] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d14d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757> 
2022-11-23T01:30:20.3451348Z  3758           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3451540Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:30:20.3451742Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3451911Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.3452083Z                8 LOAD_FAST                2 (index)
2022-11-23T01:30:20.3452253Z               10 LOAD_FAST                3 (b)
2022-11-23T01:30:20.3452421Z               12 CALL_METHOD              4
2022-11-23T01:30:20.3452565Z               14 RETURN_VALUE
2022-11-23T01:30:20.3452685Z  
2022-11-23T01:30:20.3452695Z 
2022-11-23T01:30:20.3453322Z [2022-11-23 01:27:01,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3758
2022-11-23T01:30:20.3453746Z [2022-11-23 01:27:01,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3454379Z [2022-11-23 01:27:01,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3454990Z [2022-11-23 01:27:01,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:30:20.3455599Z [2022-11-23 01:27:01,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:30:20.3456287Z [2022-11-23 01:27:01,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3457116Z [2022-11-23 01:27:01,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.3457916Z [2022-11-23 01:27:01,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3458420Z [2022-11-23 01:27:01,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3459189Z [2022-11-23 01:27:01,876] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d14d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3757>
2022-11-23T01:30:20.3459682Z [2022-11-23 01:27:01,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3460129Z [2022-11-23 01:27:01,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3460636Z [2022-11-23 01:27:01,878] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3461138Z [2022-11-23 01:27:01,882] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3461509Z [2022-11-23 01:27:01,883] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3461772Z  __compiled_fn_354 <eval_with_key>.2941 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3461949Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3462117Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3462289Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:20.3462526Z call_function, scatter_add, aten.scatter_add, (ex_0_, 2, ex_2_, ex_3_), {}
2022-11-23T01:30:20.3462733Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:30:20.3462741Z 
2022-11-23T01:30:20.3463402Z [2022-11-23 01:27:01,883] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3463578Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3463748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3463910Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3464083Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3464252Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3464405Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3464617Z              12 RETURN_VALUE
2022-11-23T01:30:20.3464628Z 
2022-11-23T01:30:20.3464746Z  
2022-11-23T01:30:20.3465408Z [2022-11-23 01:27:01,883] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3465618Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_354)
2022-11-23T01:30:20.3465791Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3465962Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3466089Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3466256Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3466424Z              10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3466568Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3466736Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3466954Z              16 LOAD_CONST               3 (3)
2022-11-23T01:30:20.3467101Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.3467275Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.3467431Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3467578Z              24 RETURN_VALUE
2022-11-23T01:30:20.3467587Z 
2022-11-23T01:30:20.3467708Z  
2022-11-23T01:30:20.3468067Z [2022-11-23 01:27:01,885] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3468202Z  - 
2022-11-23T01:30:20.3468432Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3468553Z             {
2022-11-23T01:30:20.3468810Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3469172Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:20.3469400Z                 'obj_weakref': None
2022-11-23T01:30:20.3469835Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3469961Z             }
2022-11-23T01:30:20.3470085Z             
2022-11-23T01:30:20.3470219Z  - 
2022-11-23T01:30:20.3470448Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3470572Z             {
2022-11-23T01:30:20.3470846Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3471053Z                 'code': None,
2022-11-23T01:30:20.3471471Z                 'obj_weakref': <weakref at 0x7ff58f9aade0; to 'Tensor' at 0x7ff58fc8f4c0>
2022-11-23T01:30:20.3471967Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3472086Z             }
2022-11-23T01:30:20.3472193Z             
2022-11-23T01:30:20.3472328Z  - 
2022-11-23T01:30:20.3472579Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:20.3472704Z             {
2022-11-23T01:30:20.3472980Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.3473341Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == 2'],
2022-11-23T01:30:20.3473574Z                 'obj_weakref': None
2022-11-23T01:30:20.3474059Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.3474183Z             }
2022-11-23T01:30:20.3474302Z             
2022-11-23T01:30:20.3474441Z  - 
2022-11-23T01:30:20.3474682Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3474808Z             {
2022-11-23T01:30:20.3475088Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3475277Z                 'code': None,
2022-11-23T01:30:20.3475696Z                 'obj_weakref': <weakref at 0x7ff57f913d80; to 'Tensor' at 0x7ff58fc8f1f0>
2022-11-23T01:30:20.3476197Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3476321Z             }
2022-11-23T01:30:20.3476444Z             
2022-11-23T01:30:20.3476576Z  - 
2022-11-23T01:30:20.3476816Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.3476923Z             {
2022-11-23T01:30:20.3477206Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3477480Z                 'code': None,
2022-11-23T01:30:20.3477893Z                 'obj_weakref': <weakref at 0x7ff57f9106d0; to 'Tensor' at 0x7ff58fc8d760>
2022-11-23T01:30:20.3478394Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3478515Z             }
2022-11-23T01:30:20.3478638Z             
2022-11-23T01:30:20.3478754Z  - 
2022-11-23T01:30:20.3479007Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3479131Z             {
2022-11-23T01:30:20.3479395Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3479723Z                 'code': ['___check_obj_id(model, 140693070179936)'],
2022-11-23T01:30:20.3479950Z                 'obj_weakref': None
2022-11-23T01:30:20.3480397Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3480538Z             }
2022-11-23T01:30:20.3480661Z             
2022-11-23T01:30:20.3480798Z  - 
2022-11-23T01:30:20.3481037Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3481159Z             {
2022-11-23T01:30:20.3481423Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3481844Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3482053Z                 'obj_weakref': None
2022-11-23T01:30:20.3482479Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3482602Z             }
2022-11-23T01:30:20.3482721Z             
2022-11-23T01:30:20.3482852Z  - 
2022-11-23T01:30:20.3483113Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3483234Z             {
2022-11-23T01:30:20.3483449Z                 'guard_types': None,
2022-11-23T01:30:20.3483653Z                 'code': None,
2022-11-23T01:30:20.3483894Z                 'obj_weakref': None
2022-11-23T01:30:20.3484128Z                 'guarded_class': None
2022-11-23T01:30:20.3484250Z             }
2022-11-23T01:30:20.3484376Z             
2022-11-23T01:30:20.3484879Z [2022-11-23 01:27:01,890] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 347
2022-11-23T01:30:20.3485619Z [2022-11-23 01:27:03,318] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dd/cddhxibyel77dxemjr6uzj45u2w2wfltcczbw6ymgq6z4sh4buis.py
2022-11-23T01:30:20.3486150Z [2022-11-23 01:27:03,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 347
2022-11-23T01:30:20.3486160Z 
2022-11-23T01:30:20.3486341Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3486475Z import torch
2022-11-23T01:30:20.3486610Z import random
2022-11-23T01:30:20.3486834Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3487068Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3487080Z 
2022-11-23T01:30:20.3487229Z aten = torch.ops.aten
2022-11-23T01:30:20.3487474Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3487654Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3487664Z 
2022-11-23T01:30:20.3487672Z 
2022-11-23T01:30:20.3487933Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3488335Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3488564Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3488760Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.3488957Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.3489144Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3489248Z {
2022-11-23T01:30:20.3489437Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3489556Z     {
2022-11-23T01:30:20.3489703Z         #pragma omp for 
2022-11-23T01:30:20.3489870Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T01:30:20.3489994Z         {
2022-11-23T01:30:20.3490281Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3490462Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3490581Z         }
2022-11-23T01:30:20.3490766Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3490928Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T01:30:20.3491053Z         {
2022-11-23T01:30:20.3491215Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3491350Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.3491467Z         }
2022-11-23T01:30:20.3491613Z         #pragma omp for 
2022-11-23T01:30:20.3491768Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.3491893Z         {
2022-11-23T01:30:20.3492013Z             {
2022-11-23T01:30:20.3492138Z                 {
2022-11-23T01:30:20.3492294Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:20.3492511Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:30:20.3492707Z                     atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:30:20.3492834Z                 }
2022-11-23T01:30:20.3492958Z             }
2022-11-23T01:30:20.3493082Z         }
2022-11-23T01:30:20.3493196Z     }
2022-11-23T01:30:20.3493297Z }
2022-11-23T01:30:20.3493450Z ''')
2022-11-23T01:30:20.3493460Z 
2022-11-23T01:30:20.3493468Z 
2022-11-23T01:30:20.3493646Z async_compile.wait(globals())
2022-11-23T01:30:20.3493780Z del async_compile
2022-11-23T01:30:20.3493789Z 
2022-11-23T01:30:20.3493925Z def call(args):
2022-11-23T01:30:20.3494079Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.3494216Z     args.clear()
2022-11-23T01:30:20.3494609Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3494974Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3495105Z     del arg0_1
2022-11-23T01:30:20.3495234Z     del arg1_1
2022-11-23T01:30:20.3495365Z     del arg2_1
2022-11-23T01:30:20.3495502Z     return (buf0, )
2022-11-23T01:30:20.3495510Z 
2022-11-23T01:30:20.3495518Z 
2022-11-23T01:30:20.3495669Z if __name__ == "__main__":
2022-11-23T01:30:20.3495894Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3496117Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3496627Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3497023Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3497425Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3497660Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.3497670Z 
2022-11-23T01:30:20.3497801Z ok (1.461s)
2022-11-23T01:30:20.3498305Z   test_scatter_reduce1_cpu (__main__.CpuTests) ... [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator())
2022-11-23T01:30:20.3498794Z [2022-11-23 01:27:03,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3499413Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3499843Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3500344Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3500901Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3501547Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3502248Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3502977Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3503735Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d1630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771> 
2022-11-23T01:30:20.3503914Z  3772           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3504114Z                2 LOAD_METHOD              1 (scatter_reduce)
2022-11-23T01:30:20.3504266Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3504435Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.3504603Z                8 LOAD_FAST                2 (index)
2022-11-23T01:30:20.3504823Z               10 LOAD_FAST                3 (b)
2022-11-23T01:30:20.3505096Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:30:20.3505267Z               14 CALL_METHOD              5
2022-11-23T01:30:20.3505416Z               16 RETURN_VALUE
2022-11-23T01:30:20.3505518Z  
2022-11-23T01:30:20.3505544Z 
2022-11-23T01:30:20.3506166Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3772
2022-11-23T01:30:20.3506595Z [2022-11-23 01:27:03,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3507246Z [2022-11-23 01:27:03,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3507783Z [2022-11-23 01:27:03,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:30:20.3508380Z [2022-11-23 01:27:03,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:30:20.3509075Z [2022-11-23 01:27:03,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3509802Z [2022-11-23 01:27:03,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.3510600Z [2022-11-23 01:27:03,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3511480Z [2022-11-23 01:27:03,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:20.3511978Z [2022-11-23 01:27:03,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3512760Z [2022-11-23 01:27:03,332] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d1630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3771>
2022-11-23T01:30:20.3513232Z [2022-11-23 01:27:03,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3513695Z [2022-11-23 01:27:03,332] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3514257Z [2022-11-23 01:27:03,333] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3514760Z [2022-11-23 01:27:03,337] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3515135Z [2022-11-23 01:27:03,338] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3515401Z  __compiled_fn_355 <eval_with_key>.2947 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3515580Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3515750Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3515959Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:20.3516397Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 2, ex_2_, ex_3_, 'sum'), {}
2022-11-23T01:30:20.3516615Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:30:20.3516625Z 
2022-11-23T01:30:20.3517273Z [2022-11-23 01:27:03,338] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3517446Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3517615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3517780Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3517952Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3518138Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3518307Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3518452Z              12 RETURN_VALUE
2022-11-23T01:30:20.3518460Z 
2022-11-23T01:30:20.3518584Z  
2022-11-23T01:30:20.3519234Z [2022-11-23 01:27:03,338] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3519437Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_355)
2022-11-23T01:30:20.3519609Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3519778Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3519905Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3520075Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3520240Z              10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3520381Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3520544Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3520711Z              16 LOAD_CONST               3 (3)
2022-11-23T01:30:20.3520859Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.3521009Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.3521182Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3521329Z              24 RETURN_VALUE
2022-11-23T01:30:20.3521338Z 
2022-11-23T01:30:20.3521456Z  
2022-11-23T01:30:20.3521814Z [2022-11-23 01:27:03,339] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3521950Z  - 
2022-11-23T01:30:20.3522182Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3522287Z             {
2022-11-23T01:30:20.3522563Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3522933Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:20.3523163Z                 'obj_weakref': None
2022-11-23T01:30:20.3523597Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3523724Z             }
2022-11-23T01:30:20.3523842Z             
2022-11-23T01:30:20.3523955Z  - 
2022-11-23T01:30:20.3524199Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3524319Z             {
2022-11-23T01:30:20.3524594Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3524801Z                 'code': None,
2022-11-23T01:30:20.3525219Z                 'obj_weakref': <weakref at 0x7ff57ff52d90; to 'Tensor' at 0x7ff57efa20c0>
2022-11-23T01:30:20.3525716Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3525819Z             }
2022-11-23T01:30:20.3525941Z             
2022-11-23T01:30:20.3526076Z  - 
2022-11-23T01:30:20.3526327Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:20.3526451Z             {
2022-11-23T01:30:20.3526733Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.3527095Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == 2'],
2022-11-23T01:30:20.3527311Z                 'obj_weakref': None
2022-11-23T01:30:20.3527736Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.3527900Z             }
2022-11-23T01:30:20.3528023Z             
2022-11-23T01:30:20.3528159Z  - 
2022-11-23T01:30:20.3528407Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3528530Z             {
2022-11-23T01:30:20.3528789Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3528997Z                 'code': None,
2022-11-23T01:30:20.3529410Z                 'obj_weakref': <weakref at 0x7ff57ff50a40; to 'Tensor' at 0x7ff58f9aa980>
2022-11-23T01:30:20.3529908Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3530033Z             }
2022-11-23T01:30:20.3530153Z             
2022-11-23T01:30:20.3530284Z  - 
2022-11-23T01:30:20.3530509Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.3530673Z             {
2022-11-23T01:30:20.3530952Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3531166Z                 'code': None,
2022-11-23T01:30:20.3531587Z                 'obj_weakref': <weakref at 0x7ff57ff53e20; to 'Tensor' at 0x7ff58f9aa750>
2022-11-23T01:30:20.3532090Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3532213Z             }
2022-11-23T01:30:20.3532320Z             
2022-11-23T01:30:20.3532456Z  - 
2022-11-23T01:30:20.3532721Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3532845Z             {
2022-11-23T01:30:20.3533108Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3533435Z                 'code': ['___check_obj_id(model, 140693070729648)'],
2022-11-23T01:30:20.3533665Z                 'obj_weakref': None
2022-11-23T01:30:20.3534097Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3534227Z             }
2022-11-23T01:30:20.3534347Z             
2022-11-23T01:30:20.3534477Z  - 
2022-11-23T01:30:20.3534716Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3534843Z             {
2022-11-23T01:30:20.3535107Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3535517Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3535751Z                 'obj_weakref': None
2022-11-23T01:30:20.3536185Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3536309Z             }
2022-11-23T01:30:20.3536649Z             
2022-11-23T01:30:20.3536791Z  - 
2022-11-23T01:30:20.3537051Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3537151Z             {
2022-11-23T01:30:20.3537387Z                 'guard_types': None,
2022-11-23T01:30:20.3537598Z                 'code': None,
2022-11-23T01:30:20.3537832Z                 'obj_weakref': None
2022-11-23T01:30:20.3538074Z                 'guarded_class': None
2022-11-23T01:30:20.3538198Z             }
2022-11-23T01:30:20.3538324Z             
2022-11-23T01:30:20.3538836Z [2022-11-23 01:27:03,344] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 348
2022-11-23T01:30:20.3539575Z [2022-11-23 01:27:03,354] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dd/cddhxibyel77dxemjr6uzj45u2w2wfltcczbw6ymgq6z4sh4buis.py
2022-11-23T01:30:20.3540110Z [2022-11-23 01:27:03,354] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 348
2022-11-23T01:30:20.3540121Z 
2022-11-23T01:30:20.3540301Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3540433Z import torch
2022-11-23T01:30:20.3540564Z import random
2022-11-23T01:30:20.3540789Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3541020Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3541029Z 
2022-11-23T01:30:20.3541164Z aten = torch.ops.aten
2022-11-23T01:30:20.3541424Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3541604Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3541689Z 
2022-11-23T01:30:20.3541699Z 
2022-11-23T01:30:20.3541962Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3542371Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3542604Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3542806Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.3543007Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.3543177Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3543297Z {
2022-11-23T01:30:20.3543495Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3543611Z     {
2022-11-23T01:30:20.3543755Z         #pragma omp for 
2022-11-23T01:30:20.3543914Z         for(long i0=0; i0<235; i0+=1)
2022-11-23T01:30:20.3544094Z         {
2022-11-23T01:30:20.3544338Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3544519Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3544639Z         }
2022-11-23T01:30:20.3544821Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3544980Z         for(long i0=1880; i0<1885; i0+=1)
2022-11-23T01:30:20.3545096Z         {
2022-11-23T01:30:20.3545258Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3545397Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.3545513Z         }
2022-11-23T01:30:20.3545661Z         #pragma omp for 
2022-11-23T01:30:20.3545817Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.3545936Z         {
2022-11-23T01:30:20.3546058Z             {
2022-11-23T01:30:20.3546171Z                 {
2022-11-23T01:30:20.3546346Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:20.3546505Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:30:20.3546704Z                     atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:30:20.3546829Z                 }
2022-11-23T01:30:20.3546951Z             }
2022-11-23T01:30:20.3547068Z         }
2022-11-23T01:30:20.3547172Z     }
2022-11-23T01:30:20.3547290Z }
2022-11-23T01:30:20.3547443Z ''')
2022-11-23T01:30:20.3547452Z 
2022-11-23T01:30:20.3547461Z 
2022-11-23T01:30:20.3547633Z async_compile.wait(globals())
2022-11-23T01:30:20.3547772Z del async_compile
2022-11-23T01:30:20.3547781Z 
2022-11-23T01:30:20.3547920Z def call(args):
2022-11-23T01:30:20.3548074Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.3548193Z     args.clear()
2022-11-23T01:30:20.3548599Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3548966Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3549103Z     del arg0_1
2022-11-23T01:30:20.3549232Z     del arg1_1
2022-11-23T01:30:20.3549365Z     del arg2_1
2022-11-23T01:30:20.3549504Z     return (buf0, )
2022-11-23T01:30:20.3549513Z 
2022-11-23T01:30:20.3549520Z 
2022-11-23T01:30:20.3549666Z if __name__ == "__main__":
2022-11-23T01:30:20.3549877Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3550114Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3550521Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3550911Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3551314Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3551552Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.3551562Z 
2022-11-23T01:30:20.3551689Z ok (0.036s)
2022-11-23T01:30:20.3552326Z   test_scatter_reduce2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:03,359] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3553002Z [2022-11-23 01:27:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3553436Z [2022-11-23 01:27:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3554046Z [2022-11-23 01:27:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3554620Z [2022-11-23 01:27:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3555274Z [2022-11-23 01:27:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3555988Z [2022-11-23 01:27:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3556691Z [2022-11-23 01:27:03,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3557456Z [2022-11-23 01:27:03,360] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d1790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785> 
2022-11-23T01:30:20.3557632Z  3786           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3557828Z                2 LOAD_ATTR                1 (scatter_reduce)
2022-11-23T01:30:20.3557983Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3558160Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.3558333Z                8 LOAD_FAST                2 (index)
2022-11-23T01:30:20.3558496Z               10 LOAD_FAST                3 (b)
2022-11-23T01:30:20.3558765Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:30:20.3558936Z               14 LOAD_CONST               2 (False)
2022-11-23T01:30:20.3559251Z               16 LOAD_CONST               3 (('include_self',))
2022-11-23T01:30:20.3559409Z               18 CALL_FUNCTION_KW         6
2022-11-23T01:30:20.3559555Z               20 RETURN_VALUE
2022-11-23T01:30:20.3559674Z  
2022-11-23T01:30:20.3559685Z 
2022-11-23T01:30:20.3560321Z [2022-11-23 01:27:03,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3786
2022-11-23T01:30:20.3560751Z [2022-11-23 01:27:03,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3561401Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3561922Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:30:20.3562529Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:30:20.3563241Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3563971Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.3564762Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3565669Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:30:20.3566728Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('include_self',) [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool)]
2022-11-23T01:30:20.3567816Z [2022-11-23 01:27:03,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.3568319Z [2022-11-23 01:27:03,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3569098Z [2022-11-23 01:27:03,367] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d1790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3785>
2022-11-23T01:30:20.3569589Z [2022-11-23 01:27:03,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3570093Z [2022-11-23 01:27:03,367] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3570610Z [2022-11-23 01:27:03,368] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3571109Z [2022-11-23 01:27:03,371] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3571484Z [2022-11-23 01:27:03,371] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3571744Z  __compiled_fn_356 <eval_with_key>.2953 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3571899Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3572066Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3572232Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:20.3572723Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 0, ex_2_, ex_3_, 'sum'), {'include_self': False}
2022-11-23T01:30:20.3572943Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:30:20.3572956Z 
2022-11-23T01:30:20.3573613Z [2022-11-23 01:27:03,371] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3573790Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3573962Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3574108Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3574283Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3574443Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3574612Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3574754Z              12 RETURN_VALUE
2022-11-23T01:30:20.3574763Z 
2022-11-23T01:30:20.3574881Z  
2022-11-23T01:30:20.3575533Z [2022-11-23 01:27:03,372] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3575726Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_356)
2022-11-23T01:30:20.3575894Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3576068Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3576217Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3576383Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3576654Z              10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.3576800Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3576964Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3577113Z              16 LOAD_CONST               3 (3)
2022-11-23T01:30:20.3577257Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.3577427Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.3577598Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3577742Z              24 RETURN_VALUE
2022-11-23T01:30:20.3577751Z 
2022-11-23T01:30:20.3577868Z  
2022-11-23T01:30:20.3578230Z [2022-11-23 01:27:03,372] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3578350Z  - 
2022-11-23T01:30:20.3578580Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3578705Z             {
2022-11-23T01:30:20.3579058Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3579422Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:20.3579653Z                 'obj_weakref': None
2022-11-23T01:30:20.3580086Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3580190Z             }
2022-11-23T01:30:20.3580313Z             
2022-11-23T01:30:20.3580442Z  - 
2022-11-23T01:30:20.3580681Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3580806Z             {
2022-11-23T01:30:20.3581086Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3581293Z                 'code': None,
2022-11-23T01:30:20.3581689Z                 'obj_weakref': <weakref at 0x7ff57ff53560; to 'Tensor' at 0x7ff57efe54e0>
2022-11-23T01:30:20.3582240Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3582360Z             }
2022-11-23T01:30:20.3582481Z             
2022-11-23T01:30:20.3582614Z  - 
2022-11-23T01:30:20.3582865Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:30:20.3582989Z             {
2022-11-23T01:30:20.3583247Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.3583612Z                 'code': ['___check_type_id(ex[1], 94571819095424)', 'ex[1] == 0'],
2022-11-23T01:30:20.3583836Z                 'obj_weakref': None
2022-11-23T01:30:20.3584264Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.3584386Z             }
2022-11-23T01:30:20.3584511Z             
2022-11-23T01:30:20.3584645Z  - 
2022-11-23T01:30:20.3584871Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3584990Z             {
2022-11-23T01:30:20.3585271Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3585479Z                 'code': None,
2022-11-23T01:30:20.3585899Z                 'obj_weakref': <weakref at 0x7ff57ff52110; to 'Tensor' at 0x7ff57efa08b0>
2022-11-23T01:30:20.3586388Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3586515Z             }
2022-11-23T01:30:20.3586619Z             
2022-11-23T01:30:20.3586755Z  - 
2022-11-23T01:30:20.3586992Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.3587117Z             {
2022-11-23T01:30:20.3587394Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3587601Z                 'code': None,
2022-11-23T01:30:20.3588009Z                 'obj_weakref': <weakref at 0x7ff57ff53bf0; to 'Tensor' at 0x7ff57efa3060>
2022-11-23T01:30:20.3588489Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3588615Z             }
2022-11-23T01:30:20.3588734Z             
2022-11-23T01:30:20.3588866Z  - 
2022-11-23T01:30:20.3589122Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3589247Z             {
2022-11-23T01:30:20.3589507Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3589821Z                 'code': ['___check_obj_id(model, 140692390554080)'],
2022-11-23T01:30:20.3590053Z                 'obj_weakref': None
2022-11-23T01:30:20.3590501Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3590625Z             }
2022-11-23T01:30:20.3590749Z             
2022-11-23T01:30:20.3590880Z  - 
2022-11-23T01:30:20.3591118Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3591219Z             {
2022-11-23T01:30:20.3591484Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3591914Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3592147Z                 'obj_weakref': None
2022-11-23T01:30:20.3592580Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3592749Z             }
2022-11-23T01:30:20.3592873Z             
2022-11-23T01:30:20.3592987Z  - 
2022-11-23T01:30:20.3593249Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3593366Z             {
2022-11-23T01:30:20.3593600Z                 'guard_types': None,
2022-11-23T01:30:20.3593863Z                 'code': None,
2022-11-23T01:30:20.3594094Z                 'obj_weakref': None
2022-11-23T01:30:20.3594337Z                 'guarded_class': None
2022-11-23T01:30:20.3594442Z             }
2022-11-23T01:30:20.3594565Z             
2022-11-23T01:30:20.3595083Z [2022-11-23 01:27:03,377] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 349
2022-11-23T01:30:20.3595828Z [2022-11-23 01:27:04,849] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ct/cct3qdkr3bspga6n4txz2bevphftmfscmt6oijkqjslnwokva7ol.py
2022-11-23T01:30:20.3596404Z [2022-11-23 01:27:04,849] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 349
2022-11-23T01:30:20.3596418Z 
2022-11-23T01:30:20.3596600Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3596736Z import torch
2022-11-23T01:30:20.3596855Z import random
2022-11-23T01:30:20.3597081Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3597319Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3597327Z 
2022-11-23T01:30:20.3597481Z aten = torch.ops.aten
2022-11-23T01:30:20.3597738Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3597915Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3597924Z 
2022-11-23T01:30:20.3597933Z 
2022-11-23T01:30:20.3598197Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3598601Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3598830Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3599012Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:30:20.3599213Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.3599402Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3599516Z {
2022-11-23T01:30:20.3599709Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3599830Z     {
2022-11-23T01:30:20.3599960Z         #pragma omp for 
2022-11-23T01:30:20.3600116Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:20.3600234Z         {
2022-11-23T01:30:20.3600358Z             {
2022-11-23T01:30:20.3600485Z                 {
2022-11-23T01:30:20.3600662Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3600822Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.3600931Z                 }
2022-11-23T01:30:20.3601053Z             }
2022-11-23T01:30:20.3601171Z         }
2022-11-23T01:30:20.3601326Z         #pragma omp for 
2022-11-23T01:30:20.3601481Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.3601601Z         {
2022-11-23T01:30:20.3601752Z             #pragma GCC ivdep
2022-11-23T01:30:20.3601896Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.3602019Z             {
2022-11-23T01:30:20.3602144Z                 {
2022-11-23T01:30:20.3602270Z                     {
2022-11-23T01:30:20.3602460Z                         auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:30:20.3602665Z                         auto tmp1 = static_cast<float>(0);
2022-11-23T01:30:20.3602850Z                         out_ptr0[i1 + (3*tmp0)] = tmp1;
2022-11-23T01:30:20.3602960Z                     }
2022-11-23T01:30:20.3603084Z                 }
2022-11-23T01:30:20.3603205Z             }
2022-11-23T01:30:20.3603326Z         }
2022-11-23T01:30:20.3603474Z         #pragma omp for 
2022-11-23T01:30:20.3603627Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.3603730Z         {
2022-11-23T01:30:20.3603894Z             #pragma GCC ivdep
2022-11-23T01:30:20.3604049Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.3604168Z             {
2022-11-23T01:30:20.3604296Z                 {
2022-11-23T01:30:20.3604474Z                     {
2022-11-23T01:30:20.3604668Z                         auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:30:20.3604842Z                         auto tmp1 = in_ptr2[i1 + (3*i0)];
2022-11-23T01:30:20.3605055Z                         atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1);
2022-11-23T01:30:20.3605185Z                     }
2022-11-23T01:30:20.3605300Z                 }
2022-11-23T01:30:20.3605423Z             }
2022-11-23T01:30:20.3605548Z         }
2022-11-23T01:30:20.3605664Z     }
2022-11-23T01:30:20.3605763Z }
2022-11-23T01:30:20.3605916Z ''')
2022-11-23T01:30:20.3605925Z 
2022-11-23T01:30:20.3605934Z 
2022-11-23T01:30:20.3606110Z async_compile.wait(globals())
2022-11-23T01:30:20.3606247Z del async_compile
2022-11-23T01:30:20.3606256Z 
2022-11-23T01:30:20.3606435Z def call(args):
2022-11-23T01:30:20.3606592Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.3606728Z     args.clear()
2022-11-23T01:30:20.3607101Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3607470Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3607602Z     del arg0_1
2022-11-23T01:30:20.3607733Z     del arg1_1
2022-11-23T01:30:20.3607862Z     del arg2_1
2022-11-23T01:30:20.3608001Z     return (buf0, )
2022-11-23T01:30:20.3608011Z 
2022-11-23T01:30:20.3608018Z 
2022-11-23T01:30:20.3608165Z if __name__ == "__main__":
2022-11-23T01:30:20.3608392Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3608611Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3608994Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3609370Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3609753Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3609999Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.3610008Z 
2022-11-23T01:30:20.3610136Z ok (1.495s)
2022-11-23T01:30:20.3610780Z   test_select_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:27:04,856] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3611417Z [2022-11-23 01:27:04,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3611834Z [2022-11-23 01:27:04,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3612338Z [2022-11-23 01:27:04,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3612896Z [2022-11-23 01:27:04,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3613553Z [2022-11-23 01:27:04,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3614255Z [2022-11-23 01:27:04,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3614915Z [2022-11-23 01:27:04,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3615677Z [2022-11-23 01:27:04,857] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d0870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626> 
2022-11-23T01:30:20.3615853Z  3628           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3616051Z                2 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:30:20.3616222Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3616371Z                6 LOAD_FAST                1 (a)
2022-11-23T01:30:20.3616719Z                8 LOAD_CONST               1 (1)
2022-11-23T01:30:20.3616891Z               10 LOAD_CONST               2 (0)
2022-11-23T01:30:20.3617058Z               12 CALL_METHOD              4
2022-11-23T01:30:20.3617067Z 
2022-11-23T01:30:20.3617244Z 3629          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3617442Z               16 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:30:20.3617609Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3617761Z               20 LOAD_FAST                2 (b)
2022-11-23T01:30:20.3617926Z               22 LOAD_CONST               2 (0)
2022-11-23T01:30:20.3618087Z               24 LOAD_CONST               1 (1)
2022-11-23T01:30:20.3618255Z               26 CALL_METHOD              4
2022-11-23T01:30:20.3618264Z 
2022-11-23T01:30:20.3618434Z 3627          28 BUILD_TUPLE              2
2022-11-23T01:30:20.3618634Z               30 RETURN_VALUE
2022-11-23T01:30:20.3618753Z  
2022-11-23T01:30:20.3618763Z 
2022-11-23T01:30:20.3619424Z [2022-11-23 01:27:04,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3628
2022-11-23T01:30:20.3619844Z [2022-11-23 01:27:04,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3620487Z [2022-11-23 01:27:04,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3621033Z [2022-11-23 01:27:04,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.select_scatter)]
2022-11-23T01:30:20.3621634Z [2022-11-23 01:27:04,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:30:20.3622302Z [2022-11-23 01:27:04,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3623048Z [2022-11-23 01:27:04,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3623884Z [2022-11-23 01:27:04,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.3624528Z [2022-11-23 01:27:04,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3629
2022-11-23T01:30:20.3625027Z [2022-11-23 01:27:04,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.3625735Z [2022-11-23 01:27:04,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3626335Z [2022-11-23 01:27:04,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.select_scatter)]
2022-11-23T01:30:20.3626987Z [2022-11-23 01:27:04,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:30:20.3627691Z [2022-11-23 01:27:04,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3628493Z [2022-11-23 01:27:04,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3629395Z [2022-11-23 01:27:04,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.3630079Z [2022-11-23 01:27:04,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3627
2022-11-23T01:30:20.3630622Z [2022-11-23 01:27:04,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3631111Z [2022-11-23 01:27:04,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3631893Z [2022-11-23 01:27:04,877] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d0870, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3626>
2022-11-23T01:30:20.3632381Z [2022-11-23 01:27:04,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3632849Z [2022-11-23 01:27:04,877] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3633392Z [2022-11-23 01:27:04,879] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3633958Z [2022-11-23 01:27:04,882] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3634317Z [2022-11-23 01:27:04,882] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3634576Z  __compiled_fn_357 <eval_with_key>.2959 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3634755Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3634928Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.3635087Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.3635359Z call_function, select_scatter, aten.select_scatter, (ex_0_, ex_1_, 1, 0), {}
2022-11-23T01:30:20.3635632Z call_function, select_scatter_1, aten.select_scatter, (ex_0_, ex_2_, 0, 1), {}
2022-11-23T01:30:20.3635868Z output, output, output, ((select_scatter, select_scatter_1),), {}
2022-11-23T01:30:20.3635899Z 
2022-11-23T01:30:20.3636545Z [2022-11-23 01:27:04,882] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3636722Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3636896Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3637060Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3637232Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3637398Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3637570Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3637696Z              12 RETURN_VALUE
2022-11-23T01:30:20.3637725Z 
2022-11-23T01:30:20.3637829Z  
2022-11-23T01:30:20.3638484Z [2022-11-23 01:27:04,883] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3638690Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_357)
2022-11-23T01:30:20.3638863Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3639036Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3639186Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3639358Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3639504Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3639651Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3639815Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3639980Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.3640126Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.3640292Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.3640489Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3640663Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3640826Z              26 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3640974Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.3641165Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3641328Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3641522Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.3641693Z              36 BUILD_TUPLE              2
2022-11-23T01:30:20.3641818Z              38 RETURN_VALUE
2022-11-23T01:30:20.3641829Z 
2022-11-23T01:30:20.3641942Z  
2022-11-23T01:30:20.3642298Z [2022-11-23 01:27:04,883] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3642431Z  - 
2022-11-23T01:30:20.3642657Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3642786Z             {
2022-11-23T01:30:20.3643063Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3643415Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:20.3643648Z                 'obj_weakref': None
2022-11-23T01:30:20.3644087Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3644250Z             }
2022-11-23T01:30:20.3644373Z             
2022-11-23T01:30:20.3644509Z  - 
2022-11-23T01:30:20.3644758Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3644865Z             {
2022-11-23T01:30:20.3645141Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3645348Z                 'code': None,
2022-11-23T01:30:20.3645765Z                 'obj_weakref': <weakref at 0x7ff57f8b0090; to 'Tensor' at 0x7ff57ef053f0>
2022-11-23T01:30:20.3646266Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3646388Z             }
2022-11-23T01:30:20.3646510Z             
2022-11-23T01:30:20.3646625Z  - 
2022-11-23T01:30:20.3646868Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.3646991Z             {
2022-11-23T01:30:20.3647269Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3647472Z                 'code': None,
2022-11-23T01:30:20.3647889Z                 'obj_weakref': <weakref at 0x7ff57f8b18f0; to 'Tensor' at 0x7ff57efb9c10>
2022-11-23T01:30:20.3648391Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3648511Z             }
2022-11-23T01:30:20.3648615Z             
2022-11-23T01:30:20.3648745Z  - 
2022-11-23T01:30:20.3648985Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.3649107Z             {
2022-11-23T01:30:20.3649380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3649587Z                 'code': None,
2022-11-23T01:30:20.3649987Z                 'obj_weakref': <weakref at 0x7ff58f9a9c10; to 'Tensor' at 0x7ff57f9120c0>
2022-11-23T01:30:20.3650473Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3650596Z             }
2022-11-23T01:30:20.3650719Z             
2022-11-23T01:30:20.3650853Z  - 
2022-11-23T01:30:20.3651114Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3651236Z             {
2022-11-23T01:30:20.3651482Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3651816Z                 'code': ['___check_obj_id(model, 140693070179936)'],
2022-11-23T01:30:20.3652048Z                 'obj_weakref': None
2022-11-23T01:30:20.3652492Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3652610Z             }
2022-11-23T01:30:20.3652733Z             
2022-11-23T01:30:20.3652867Z  - 
2022-11-23T01:30:20.3653087Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3653208Z             {
2022-11-23T01:30:20.3653475Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3653904Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3654136Z                 'obj_weakref': None
2022-11-23T01:30:20.3654573Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3654698Z             }
2022-11-23T01:30:20.3654803Z             
2022-11-23T01:30:20.3654935Z  - 
2022-11-23T01:30:20.3655283Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3655411Z             {
2022-11-23T01:30:20.3655651Z                 'guard_types': None,
2022-11-23T01:30:20.3655860Z                 'code': None,
2022-11-23T01:30:20.3656095Z                 'obj_weakref': None
2022-11-23T01:30:20.3656310Z                 'guarded_class': None
2022-11-23T01:30:20.3656531Z             }
2022-11-23T01:30:20.3656656Z             
2022-11-23T01:30:20.3657181Z [2022-11-23 01:27:04,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 350
2022-11-23T01:30:20.3657924Z [2022-11-23 01:27:06,383] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ky/ckyqii44kowxjkq7h6twzcrxv3izmsfmvflejxx5ftr37p3s4bol.py
2022-11-23T01:30:20.3658450Z [2022-11-23 01:27:06,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 350
2022-11-23T01:30:20.3658524Z 
2022-11-23T01:30:20.3658709Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3658845Z import torch
2022-11-23T01:30:20.3658964Z import random
2022-11-23T01:30:20.3659189Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3659428Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3659437Z 
2022-11-23T01:30:20.3659588Z aten = torch.ops.aten
2022-11-23T01:30:20.3659849Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3660025Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3660033Z 
2022-11-23T01:30:20.3660043Z 
2022-11-23T01:30:20.3660308Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3660713Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3660931Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3661132Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.3661333Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.3661523Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.3661715Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.3661838Z {
2022-11-23T01:30:20.3662027Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3662131Z     {
2022-11-23T01:30:20.3662275Z         #pragma omp for 
2022-11-23T01:30:20.3662433Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.3662555Z         {
2022-11-23T01:30:20.3662706Z             #pragma GCC ivdep
2022-11-23T01:30:20.3662867Z             for(long i1=0; i1<197; i1+=1)
2022-11-23T01:30:20.3662991Z             {
2022-11-23T01:30:20.3663132Z                 #pragma GCC ivdep
2022-11-23T01:30:20.3663302Z                 for(long i2=0; i2<38; i2+=1)
2022-11-23T01:30:20.3663426Z                 {
2022-11-23T01:30:20.3663557Z                     {
2022-11-23T01:30:20.3663690Z                         {
2022-11-23T01:30:20.3663887Z                             auto tmp3 = in_ptr0[i2 + (38*i0)];
2022-11-23T01:30:20.3664103Z                             auto tmp4 = in_ptr1[i2 + (38*i1) + (7486*i0)];
2022-11-23T01:30:20.3664296Z                             auto tmp0 = static_cast<int>(i1);
2022-11-23T01:30:20.3664494Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:30:20.3664676Z                             auto tmp2 = tmp0 == tmp1;
2022-11-23T01:30:20.3664874Z                             auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:30:20.3665071Z                             out_ptr0[i2 + (38*i1) + (7486*i0)] = tmp5;
2022-11-23T01:30:20.3665204Z                         }
2022-11-23T01:30:20.3665331Z                     }
2022-11-23T01:30:20.3665438Z                 }
2022-11-23T01:30:20.3665560Z             }
2022-11-23T01:30:20.3665676Z         }
2022-11-23T01:30:20.3665821Z         #pragma omp for 
2022-11-23T01:30:20.3665977Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.3666094Z         {
2022-11-23T01:30:20.3666247Z             #pragma GCC ivdep
2022-11-23T01:30:20.3666395Z             for(long i1=0; i1<7486; i1+=1)
2022-11-23T01:30:20.3666571Z             {
2022-11-23T01:30:20.3666694Z                 {
2022-11-23T01:30:20.3666824Z                     {
2022-11-23T01:30:20.3667002Z                         auto tmp3 = in_ptr2[i1];
2022-11-23T01:30:20.3667197Z                         auto tmp4 = in_ptr1[i1 + (7486*i0)];
2022-11-23T01:30:20.3667397Z                         auto tmp0 = static_cast<int>(i0);
2022-11-23T01:30:20.3667574Z                         auto tmp1 = static_cast<int>(1);
2022-11-23T01:30:20.3667752Z                         auto tmp2 = tmp0 == tmp1;
2022-11-23T01:30:20.3667939Z                         auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:30:20.3668121Z                         out_ptr1[i1 + (7486*i0)] = tmp5;
2022-11-23T01:30:20.3668249Z                     }
2022-11-23T01:30:20.3668376Z                 }
2022-11-23T01:30:20.3668537Z             }
2022-11-23T01:30:20.3668638Z         }
2022-11-23T01:30:20.3668758Z     }
2022-11-23T01:30:20.3668876Z }
2022-11-23T01:30:20.3669032Z ''')
2022-11-23T01:30:20.3669045Z 
2022-11-23T01:30:20.3669053Z 
2022-11-23T01:30:20.3669227Z async_compile.wait(globals())
2022-11-23T01:30:20.3669367Z del async_compile
2022-11-23T01:30:20.3669376Z 
2022-11-23T01:30:20.3669510Z def call(args):
2022-11-23T01:30:20.3669648Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.3669784Z     args.clear()
2022-11-23T01:30:20.3670200Z     buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3670609Z     buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3671028Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.3671159Z     del arg0_1
2022-11-23T01:30:20.3671294Z     del arg1_1
2022-11-23T01:30:20.3671403Z     del arg2_1
2022-11-23T01:30:20.3671554Z     return (buf0, buf1, )
2022-11-23T01:30:20.3671563Z 
2022-11-23T01:30:20.3671571Z 
2022-11-23T01:30:20.3671716Z if __name__ == "__main__":
2022-11-23T01:30:20.3671940Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3672177Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3672589Z     arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3672978Z     arg1_1 = rand_strided((8, 38), (38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3673377Z     arg2_1 = rand_strided((197, 38), (38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3673594Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.3673623Z 
2022-11-23T01:30:20.3673730Z ok (1.535s)
2022-11-23T01:30:20.3674385Z   test_sgn_cpu (__main__.CpuTests) ... [2022-11-23 01:27:06,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3675053Z [2022-11-23 01:27:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3675486Z [2022-11-23 01:27:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3675998Z [2022-11-23 01:27:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3676561Z [2022-11-23 01:27:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3677209Z [2022-11-23 01:27:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3677926Z [2022-11-23 01:27:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3678581Z [2022-11-23 01:27:06,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3679391Z [2022-11-23 01:27:06,390] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d198b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670> 
2022-11-23T01:30:20.3679555Z  671           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3679738Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:30:20.3679908Z               4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3680076Z               6 CALL_METHOD              1
2022-11-23T01:30:20.3680251Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3680426Z              10 LOAD_METHOD              1 (sgn)
2022-11-23T01:30:20.3680593Z              12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3680747Z              14 LOAD_CONST               1 (1)
2022-11-23T01:30:20.3680926Z              16 BINARY_ADD
2022-11-23T01:30:20.3681093Z              18 CALL_METHOD              1
2022-11-23T01:30:20.3681260Z              20 LOAD_CONST               1 (1)
2022-11-23T01:30:20.3681416Z              22 BINARY_SUBTRACT
2022-11-23T01:30:20.3681580Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.3681727Z              26 RETURN_VALUE
2022-11-23T01:30:20.3681827Z  
2022-11-23T01:30:20.3681837Z 
2022-11-23T01:30:20.3682469Z [2022-11-23 01:27:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:671
2022-11-23T01:30:20.3682917Z [2022-11-23 01:27:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3683661Z [2022-11-23 01:27:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3684296Z [2022-11-23 01:27:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3685022Z [2022-11-23 01:27:06,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3685522Z [2022-11-23 01:27:06,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.3686316Z [2022-11-23 01:27:06,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3687019Z [2022-11-23 01:27:06,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3687773Z [2022-11-23 01:27:06,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3688631Z [2022-11-23 01:27:06,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3689398Z [2022-11-23 01:27:06,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3689915Z [2022-11-23 01:27:06,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3690559Z [2022-11-23 01:27:06,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3691099Z [2022-11-23 01:27:06,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3691597Z [2022-11-23 01:27:06,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3692390Z [2022-11-23 01:27:06,394] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d198b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 670>
2022-11-23T01:30:20.3692879Z [2022-11-23 01:27:06,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3693351Z [2022-11-23 01:27:06,394] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3693867Z [2022-11-23 01:27:06,395] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3694369Z [2022-11-23 01:27:06,401] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3694741Z [2022-11-23 01:27:06,401] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3695021Z  __compiled_fn_358 <eval_with_key>.2965 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3695193Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3695624Z call_function, sgn, <built-in method sgn of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.3695964Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.3696399Z call_function, sgn_1, <built-in method sgn of type object at 0x7ff5d7c59c60>, (add,), {}
2022-11-23T01:30:20.3696873Z call_function, sub, <built-in function sub>, (sgn_1, 1), {}
2022-11-23T01:30:20.3697069Z output, output, output, ((sgn, sub),), {}
2022-11-23T01:30:20.3697079Z 
2022-11-23T01:30:20.3697738Z [2022-11-23 01:27:06,401] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3697896Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3698068Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3698235Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3698412Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3698577Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3698751Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3698893Z              12 RETURN_VALUE
2022-11-23T01:30:20.3698903Z 
2022-11-23T01:30:20.3698996Z  
2022-11-23T01:30:20.3699655Z [2022-11-23 01:27:06,401] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3699858Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_358)
2022-11-23T01:30:20.3700028Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3700196Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3700341Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3700508Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.3700704Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3700878Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3701051Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3701199Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.3701387Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3701555Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3701703Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.3701869Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.3701993Z              26 RETURN_VALUE
2022-11-23T01:30:20.3702002Z 
2022-11-23T01:30:20.3702121Z  
2022-11-23T01:30:20.3702478Z [2022-11-23 01:27:06,402] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3702612Z  - 
2022-11-23T01:30:20.3702848Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3702973Z             {
2022-11-23T01:30:20.3703250Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3703599Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.3703831Z                 'obj_weakref': None
2022-11-23T01:30:20.3704336Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3704463Z             }
2022-11-23T01:30:20.3704583Z             
2022-11-23T01:30:20.3704714Z  - 
2022-11-23T01:30:20.3704956Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3705059Z             {
2022-11-23T01:30:20.3705337Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3705554Z                 'code': None,
2022-11-23T01:30:20.3705972Z                 'obj_weakref': <weakref at 0x7ff57ff52520; to 'Tensor' at 0x7ff58ffd0900>
2022-11-23T01:30:20.3706467Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3706588Z             }
2022-11-23T01:30:20.3706711Z             
2022-11-23T01:30:20.3706881Z  - 
2022-11-23T01:30:20.3707141Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3707263Z             {
2022-11-23T01:30:20.3707527Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3707857Z                 'code': ['___check_obj_id(model, 140693070729648)'],
2022-11-23T01:30:20.3708089Z                 'obj_weakref': None
2022-11-23T01:30:20.3708539Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3708645Z             }
2022-11-23T01:30:20.3708763Z             
2022-11-23T01:30:20.3708890Z  - 
2022-11-23T01:30:20.3709130Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3709255Z             {
2022-11-23T01:30:20.3709519Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3709942Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3710155Z                 'obj_weakref': None
2022-11-23T01:30:20.3710594Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3710713Z             }
2022-11-23T01:30:20.3710833Z             
2022-11-23T01:30:20.3710969Z  - 
2022-11-23T01:30:20.3711235Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3711359Z             {
2022-11-23T01:30:20.3711578Z                 'guard_types': None,
2022-11-23T01:30:20.3711783Z                 'code': None,
2022-11-23T01:30:20.3712015Z                 'obj_weakref': None
2022-11-23T01:30:20.3712257Z                 'guarded_class': None
2022-11-23T01:30:20.3712385Z             }
2022-11-23T01:30:20.3712507Z             
2022-11-23T01:30:20.3713029Z [2022-11-23 01:27:06,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 351
2022-11-23T01:30:20.3713762Z [2022-11-23 01:27:07,819] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vh/cvhslmejnfp4tdmxb5bjmvvukw6d36be65dwoloz546yaedt7xe3.py
2022-11-23T01:30:20.3714365Z [2022-11-23 01:27:07,819] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 351
2022-11-23T01:30:20.3714376Z 
2022-11-23T01:30:20.3714560Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3714693Z import torch
2022-11-23T01:30:20.3714828Z import random
2022-11-23T01:30:20.3715057Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3715294Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3715303Z 
2022-11-23T01:30:20.3715452Z aten = torch.ops.aten
2022-11-23T01:30:20.3715695Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3715874Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3715883Z 
2022-11-23T01:30:20.3715892Z 
2022-11-23T01:30:20.3716153Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3716561Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3716786Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3716980Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.3717167Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.3717335Z {
2022-11-23T01:30:20.3717510Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3717628Z     {
2022-11-23T01:30:20.3717775Z         #pragma omp for 
2022-11-23T01:30:20.3717934Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:30:20.3718054Z         {
2022-11-23T01:30:20.3718320Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3718650Z             auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2022-11-23T01:30:20.3718982Z             auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2022-11-23T01:30:20.3719210Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:30:20.3719473Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.3719670Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:20.3720000Z             auto tmp6 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), decltype(tmp5)(0) < tmp5);
2022-11-23T01:30:20.3720327Z             auto tmp7 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), tmp5 < decltype(tmp5)(0));
2022-11-23T01:30:20.3720571Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:30:20.3720816Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:30:20.3720991Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3721148Z             tmp9.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.3721267Z         }
2022-11-23T01:30:20.3721451Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3721609Z         for(long i0=40; i0<41; i0+=1)
2022-11-23T01:30:20.3721728Z         {
2022-11-23T01:30:20.3721885Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3722053Z             auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:30:20.3722201Z             auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:30:20.3722406Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:30:20.3722542Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:30:20.3722657Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:20.3722778Z             auto tmp6 = tmp5 > 0 ? 1 : 0;
2022-11-23T01:30:20.3722889Z             auto tmp7 = tmp5 < 0 ? 1 : 0;
2022-11-23T01:30:20.3723064Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:30:20.3723263Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:30:20.3723407Z             out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.3723550Z             out_ptr1[i0] = tmp9;
2022-11-23T01:30:20.3723662Z         }
2022-11-23T01:30:20.3723776Z     }
2022-11-23T01:30:20.3723883Z }
2022-11-23T01:30:20.3724008Z ''')
2022-11-23T01:30:20.3724031Z 
2022-11-23T01:30:20.3724038Z 
2022-11-23T01:30:20.3724186Z async_compile.wait(globals())
2022-11-23T01:30:20.3724324Z del async_compile
2022-11-23T01:30:20.3724332Z 
2022-11-23T01:30:20.3724461Z def call(args):
2022-11-23T01:30:20.3724594Z     arg0_1, = args
2022-11-23T01:30:20.3724721Z     args.clear()
2022-11-23T01:30:20.3725080Z     buf0 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3725429Z     buf1 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3725729Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.3725864Z     del arg0_1
2022-11-23T01:30:20.3726018Z     return (buf0, buf1, )
2022-11-23T01:30:20.3726026Z 
2022-11-23T01:30:20.3726035Z 
2022-11-23T01:30:20.3726183Z if __name__ == "__main__":
2022-11-23T01:30:20.3726406Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3726649Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3727030Z     arg0_1 = rand_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3727238Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3727248Z 
2022-11-23T01:30:20.3727360Z ok (1.434s)
2022-11-23T01:30:20.3728048Z   test_sgn_extremal_cpu (__main__.CpuTests) ... [2022-11-23 01:27:07,823] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3728696Z [2022-11-23 01:27:07,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3729139Z [2022-11-23 01:27:07,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3729648Z [2022-11-23 01:27:07,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3730212Z [2022-11-23 01:27:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3730865Z [2022-11-23 01:27:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3731607Z [2022-11-23 01:27:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3732266Z [2022-11-23 01:27:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3733030Z [2022-11-23 01:27:07,824] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d198c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676> 
2022-11-23T01:30:20.3733191Z  677           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3733368Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:30:20.3733538Z               4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3733704Z               6 CALL_METHOD              1
2022-11-23T01:30:20.3733867Z               8 BUILD_TUPLE              1
2022-11-23T01:30:20.3734014Z              10 RETURN_VALUE
2022-11-23T01:30:20.3734132Z  
2022-11-23T01:30:20.3734143Z 
2022-11-23T01:30:20.3734784Z [2022-11-23 01:27:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:677
2022-11-23T01:30:20.3735201Z [2022-11-23 01:27:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3735959Z [2022-11-23 01:27:07,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3736779Z [2022-11-23 01:27:07,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3737499Z [2022-11-23 01:27:07,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3737984Z [2022-11-23 01:27:07,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.3738486Z [2022-11-23 01:27:07,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3739257Z [2022-11-23 01:27:07,826] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d198c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 676>
2022-11-23T01:30:20.3739744Z [2022-11-23 01:27:07,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3740213Z [2022-11-23 01:27:07,826] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3740721Z [2022-11-23 01:27:07,827] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3741201Z [2022-11-23 01:27:07,829] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3741569Z [2022-11-23 01:27:07,829] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3741830Z  __compiled_fn_359 <eval_with_key>.2971 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3742106Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3742550Z call_function, sgn, <built-in method sgn of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.3742733Z output, output, output, ((sgn,),), {}
2022-11-23T01:30:20.3742743Z 
2022-11-23T01:30:20.3743415Z [2022-11-23 01:27:07,830] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3743593Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3743766Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3743912Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3744090Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3744254Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3744479Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3744627Z              12 RETURN_VALUE
2022-11-23T01:30:20.3744636Z 
2022-11-23T01:30:20.3744753Z  
2022-11-23T01:30:20.3745419Z [2022-11-23 01:27:07,830] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3745609Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_359)
2022-11-23T01:30:20.3745779Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3745952Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3746102Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3746267Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.3746456Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3746646Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3746795Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3746937Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.3747106Z              18 BUILD_TUPLE              1
2022-11-23T01:30:20.3747247Z              20 RETURN_VALUE
2022-11-23T01:30:20.3747257Z 
2022-11-23T01:30:20.3747382Z  
2022-11-23T01:30:20.3747744Z [2022-11-23 01:27:07,830] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3747877Z  - 
2022-11-23T01:30:20.3748112Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3748218Z             {
2022-11-23T01:30:20.3748497Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3748861Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.3749092Z                 'obj_weakref': None
2022-11-23T01:30:20.3749540Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3749664Z             }
2022-11-23T01:30:20.3749787Z             
2022-11-23T01:30:20.3749902Z  - 
2022-11-23T01:30:20.3750145Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3750272Z             {
2022-11-23T01:30:20.3750548Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3750758Z                 'code': None,
2022-11-23T01:30:20.3751174Z                 'obj_weakref': <weakref at 0x7ff58ff38720; to 'Tensor' at 0x7ff58f9e99e0>
2022-11-23T01:30:20.3751667Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3751770Z             }
2022-11-23T01:30:20.3751896Z             
2022-11-23T01:30:20.3752036Z  - 
2022-11-23T01:30:20.3752288Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3752414Z             {
2022-11-23T01:30:20.3752679Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3753009Z                 'code': ['___check_obj_id(model, 140692653080240)'],
2022-11-23T01:30:20.3753225Z                 'obj_weakref': None
2022-11-23T01:30:20.3753676Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3753858Z             }
2022-11-23T01:30:20.3753981Z             
2022-11-23T01:30:20.3754118Z  - 
2022-11-23T01:30:20.3754359Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3754520Z             {
2022-11-23T01:30:20.3754790Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3755223Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3755457Z                 'obj_weakref': None
2022-11-23T01:30:20.3755897Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3756022Z             }
2022-11-23T01:30:20.3756148Z             
2022-11-23T01:30:20.3756287Z  - 
2022-11-23T01:30:20.3756529Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3756654Z             {
2022-11-23T01:30:20.3756894Z                 'guard_types': None,
2022-11-23T01:30:20.3757102Z                 'code': None,
2022-11-23T01:30:20.3757376Z                 'obj_weakref': None
2022-11-23T01:30:20.3757617Z                 'guarded_class': None
2022-11-23T01:30:20.3757723Z             }
2022-11-23T01:30:20.3757849Z             
2022-11-23T01:30:20.3758378Z [2022-11-23 01:27:07,834] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 352
2022-11-23T01:30:20.3759123Z [2022-11-23 01:27:09,242] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4x/c4xp2tq7hjuvw7lljs63harcjqiam5vaofel2vtmbbc5jwnokfur.py
2022-11-23T01:30:20.3759653Z [2022-11-23 01:27:09,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 352
2022-11-23T01:30:20.3759663Z 
2022-11-23T01:30:20.3759849Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3759985Z import torch
2022-11-23T01:30:20.3760125Z import random
2022-11-23T01:30:20.3760335Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3760572Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3760586Z 
2022-11-23T01:30:20.3760737Z aten = torch.ops.aten
2022-11-23T01:30:20.3761001Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3761179Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3761192Z 
2022-11-23T01:30:20.3761202Z 
2022-11-23T01:30:20.3761465Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3761869Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3762104Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3762278Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3762397Z {
2022-11-23T01:30:20.3762593Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3762711Z     {
2022-11-23T01:30:20.3762862Z         #pragma omp for 
2022-11-23T01:30:20.3763019Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.3763142Z         {
2022-11-23T01:30:20.3763245Z             {
2022-11-23T01:30:20.3763371Z                 {
2022-11-23T01:30:20.3763553Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3763730Z                     auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:30:20.3763910Z                     auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:30:20.3764178Z                     auto tmp3 = tmp1 - tmp2;
2022-11-23T01:30:20.3764343Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.3764452Z                 }
2022-11-23T01:30:20.3764578Z             }
2022-11-23T01:30:20.3764702Z         }
2022-11-23T01:30:20.3764823Z     }
2022-11-23T01:30:20.3764940Z }
2022-11-23T01:30:20.3765095Z ''')
2022-11-23T01:30:20.3765105Z 
2022-11-23T01:30:20.3765113Z 
2022-11-23T01:30:20.3765287Z async_compile.wait(globals())
2022-11-23T01:30:20.3765412Z del async_compile
2022-11-23T01:30:20.3765419Z 
2022-11-23T01:30:20.3765556Z def call(args):
2022-11-23T01:30:20.3765694Z     arg0_1, = args
2022-11-23T01:30:20.3765835Z     args.clear()
2022-11-23T01:30:20.3766211Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3766473Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3766601Z     del arg0_1
2022-11-23T01:30:20.3766719Z     return (buf0, )
2022-11-23T01:30:20.3766771Z 
2022-11-23T01:30:20.3766799Z 
2022-11-23T01:30:20.3766928Z if __name__ == "__main__":
2022-11-23T01:30:20.3767146Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3767382Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3767765Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3767971Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3767978Z 
2022-11-23T01:30:20.3768108Z ok (1.423s)
2022-11-23T01:30:20.3768727Z   test_sigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:27:09,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3769370Z [2022-11-23 01:27:09,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3769840Z [2022-11-23 01:27:09,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3770348Z [2022-11-23 01:27:09,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3770907Z [2022-11-23 01:27:09,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3771557Z [2022-11-23 01:27:09,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3772275Z [2022-11-23 01:27:09,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3772932Z [2022-11-23 01:27:09,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3773710Z [2022-11-23 01:27:09,248] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006> 
2022-11-23T01:30:20.3773894Z  1007           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3774074Z                2 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:30:20.3774227Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3774398Z                6 CALL_METHOD              1
2022-11-23T01:30:20.3774578Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3774758Z               10 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:30:20.3774931Z               12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3775100Z               14 LOAD_FAST                1 (b)
2022-11-23T01:30:20.3775241Z               16 BINARY_ADD
2022-11-23T01:30:20.3775389Z               18 CALL_METHOD              1
2022-11-23T01:30:20.3775558Z               20 BUILD_TUPLE              2
2022-11-23T01:30:20.3775706Z               22 RETURN_VALUE
2022-11-23T01:30:20.3775827Z  
2022-11-23T01:30:20.3775835Z 
2022-11-23T01:30:20.3776577Z [2022-11-23 01:27:09,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1007
2022-11-23T01:30:20.3777023Z [2022-11-23 01:27:09,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3777780Z [2022-11-23 01:27:09,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3778441Z [2022-11-23 01:27:09,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sigmoid of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3779171Z [2022-11-23 01:27:09,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sigmoid of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3779664Z [2022-11-23 01:27:09,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.3780534Z [2022-11-23 01:27:09,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3781255Z [2022-11-23 01:27:09,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3782037Z [2022-11-23 01:27:09,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3782885Z [2022-11-23 01:27:09,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3783730Z [2022-11-23 01:27:09,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3784282Z [2022-11-23 01:27:09,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3784778Z [2022-11-23 01:27:09,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3785567Z [2022-11-23 01:27:09,252] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19bec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1006>
2022-11-23T01:30:20.3786066Z [2022-11-23 01:27:09,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3786536Z [2022-11-23 01:27:09,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3787057Z [2022-11-23 01:27:09,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3787544Z [2022-11-23 01:27:09,257] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3787918Z [2022-11-23 01:27:09,258] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3788178Z  __compiled_fn_360 <eval_with_key>.2977 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3788350Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3788520Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.3788992Z call_function, sigmoid, <built-in method sigmoid of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.3789337Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.3789811Z call_function, sigmoid_1, <built-in method sigmoid of type object at 0x7ff5d7c59c60>, (add,), {}
2022-11-23T01:30:20.3790012Z output, output, output, ((sigmoid, sigmoid_1),), {}
2022-11-23T01:30:20.3790040Z 
2022-11-23T01:30:20.3790678Z [2022-11-23 01:27:09,258] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3790853Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3791024Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3791184Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3791358Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3791521Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3791690Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3791818Z              12 RETURN_VALUE
2022-11-23T01:30:20.3791827Z 
2022-11-23T01:30:20.3791942Z  
2022-11-23T01:30:20.3792589Z [2022-11-23 01:27:09,258] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3792797Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_360)
2022-11-23T01:30:20.3793013Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3793180Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3793324Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3793495Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3793643Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3793843Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3794014Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.3794208Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3794402Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3794569Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3794719Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.3794893Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3795107Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3795254Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.3795428Z              30 BUILD_TUPLE              2
2022-11-23T01:30:20.3795577Z              32 RETURN_VALUE
2022-11-23T01:30:20.3795585Z 
2022-11-23T01:30:20.3795707Z  
2022-11-23T01:30:20.3796080Z [2022-11-23 01:27:09,259] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3796196Z  - 
2022-11-23T01:30:20.3796428Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3796552Z             {
2022-11-23T01:30:20.3796826Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3797191Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.3797424Z                 'obj_weakref': None
2022-11-23T01:30:20.3797867Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3797971Z             }
2022-11-23T01:30:20.3798098Z             
2022-11-23T01:30:20.3798228Z  - 
2022-11-23T01:30:20.3798469Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3798592Z             {
2022-11-23T01:30:20.3798872Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3799076Z                 'code': None,
2022-11-23T01:30:20.3799476Z                 'obj_weakref': <weakref at 0x7ff57f8e1bc0; to 'Tensor' at 0x7ff58ff662f0>
2022-11-23T01:30:20.3799972Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3800094Z             }
2022-11-23T01:30:20.3800214Z             
2022-11-23T01:30:20.3800348Z  - 
2022-11-23T01:30:20.3800591Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.3800711Z             {
2022-11-23T01:30:20.3800976Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3801183Z                 'code': None,
2022-11-23T01:30:20.3801591Z                 'obj_weakref': <weakref at 0x7ff57f8e2610; to 'Tensor' at 0x7ff57efa3060>
2022-11-23T01:30:20.3802102Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3802228Z             }
2022-11-23T01:30:20.3802347Z             
2022-11-23T01:30:20.3802480Z  - 
2022-11-23T01:30:20.3802715Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3802837Z             {
2022-11-23T01:30:20.3803102Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3803431Z                 'code': ['___check_obj_id(model, 140693066985200)'],
2022-11-23T01:30:20.3803657Z                 'obj_weakref': None
2022-11-23T01:30:20.3804103Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3804220Z             }
2022-11-23T01:30:20.3804324Z             
2022-11-23T01:30:20.3804456Z  - 
2022-11-23T01:30:20.3804691Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3804811Z             {
2022-11-23T01:30:20.3805077Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3805499Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3805773Z                 'obj_weakref': None
2022-11-23T01:30:20.3806190Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3806310Z             }
2022-11-23T01:30:20.3806433Z             
2022-11-23T01:30:20.3806563Z  - 
2022-11-23T01:30:20.3806828Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3806952Z             {
2022-11-23T01:30:20.3807187Z                 'guard_types': None,
2022-11-23T01:30:20.3807376Z                 'code': None,
2022-11-23T01:30:20.3807609Z                 'obj_weakref': None
2022-11-23T01:30:20.3807843Z                 'guarded_class': None
2022-11-23T01:30:20.3807965Z             }
2022-11-23T01:30:20.3808089Z             
2022-11-23T01:30:20.3808603Z [2022-11-23 01:27:09,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 353
2022-11-23T01:30:20.3809397Z [2022-11-23 01:27:10,676] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yu/cyusd6drkota4capucqvpvrcn2bev774zut4ach52chxormogxqc.py
2022-11-23T01:30:20.3809927Z [2022-11-23 01:27:10,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 353
2022-11-23T01:30:20.3809938Z 
2022-11-23T01:30:20.3810101Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3810235Z import torch
2022-11-23T01:30:20.3810371Z import random
2022-11-23T01:30:20.3810598Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3810832Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3810841Z 
2022-11-23T01:30:20.3810989Z aten = torch.ops.aten
2022-11-23T01:30:20.3811244Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3811404Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3811428Z 
2022-11-23T01:30:20.3811440Z 
2022-11-23T01:30:20.3811685Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3812084Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3812313Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3812512Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.3812696Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.3812879Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.3812997Z {
2022-11-23T01:30:20.3813174Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3813291Z     {
2022-11-23T01:30:20.3813442Z         #pragma omp for 
2022-11-23T01:30:20.3813599Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.3813718Z         {
2022-11-23T01:30:20.3813992Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3814244Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.3814488Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:30:20.3814650Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.3814913Z             auto tmp4 = decltype(tmp3)(1)/(decltype(tmp3)(1) + tmp3.neg().exp());
2022-11-23T01:30:20.3815092Z             tmp1.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3815264Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.3815388Z         }
2022-11-23T01:30:20.3815566Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3815703Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.3815831Z         {
2022-11-23T01:30:20.3815992Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3816154Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.3816515Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:30:20.3816676Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:30:20.3816836Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:20.3817078Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:30:20.3817245Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:30:20.3817398Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.3817623Z             out_ptr1[i0] = tmp6;
2022-11-23T01:30:20.3817748Z         }
2022-11-23T01:30:20.3817868Z     }
2022-11-23T01:30:20.3817986Z }
2022-11-23T01:30:20.3818120Z ''')
2022-11-23T01:30:20.3818130Z 
2022-11-23T01:30:20.3818157Z 
2022-11-23T01:30:20.3818315Z async_compile.wait(globals())
2022-11-23T01:30:20.3818460Z del async_compile
2022-11-23T01:30:20.3818469Z 
2022-11-23T01:30:20.3818603Z def call(args):
2022-11-23T01:30:20.3818746Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.3818886Z     args.clear()
2022-11-23T01:30:20.3819266Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3819647Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3819997Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.3820186Z     del arg0_1
2022-11-23T01:30:20.3820316Z     del arg1_1
2022-11-23T01:30:20.3820460Z     return (buf0, buf1, )
2022-11-23T01:30:20.3820472Z 
2022-11-23T01:30:20.3820482Z 
2022-11-23T01:30:20.3820626Z if __name__ == "__main__":
2022-11-23T01:30:20.3820849Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3821092Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3821484Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3821854Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3822075Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.3822085Z 
2022-11-23T01:30:20.3822213Z ok (1.434s)
2022-11-23T01:30:20.3822828Z   test_signbit_cpu (__main__.CpuTests) ... [2022-11-23 01:27:10,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3823472Z [2022-11-23 01:27:10,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3823912Z [2022-11-23 01:27:10,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3824423Z [2022-11-23 01:27:10,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3824980Z [2022-11-23 01:27:10,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3825628Z [2022-11-23 01:27:10,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3826313Z [2022-11-23 01:27:10,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3826966Z [2022-11-23 01:27:10,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3827732Z [2022-11-23 01:27:10,681] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f64a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656> 
2022-11-23T01:30:20.3827915Z  2657           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3828100Z                2 LOAD_METHOD              1 (signbit)
2022-11-23T01:30:20.3828267Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3828433Z                6 CALL_METHOD              1
2022-11-23T01:30:20.3828614Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3828776Z               10 LOAD_METHOD              1 (signbit)
2022-11-23T01:30:20.3828946Z               12 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3829093Z               14 UNARY_NEGATIVE
2022-11-23T01:30:20.3829262Z               16 CALL_METHOD              1
2022-11-23T01:30:20.3829408Z               18 UNARY_INVERT
2022-11-23T01:30:20.3829578Z               20 LOAD_CONST               1 (1)
2022-11-23T01:30:20.3829717Z               22 BINARY_AND
2022-11-23T01:30:20.3829927Z               24 BUILD_TUPLE              2
2022-11-23T01:30:20.3830075Z               26 RETURN_VALUE
2022-11-23T01:30:20.3830196Z  
2022-11-23T01:30:20.3830204Z 
2022-11-23T01:30:20.3830851Z [2022-11-23 01:27:10,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2657
2022-11-23T01:30:20.3831291Z [2022-11-23 01:27:10,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3832044Z [2022-11-23 01:27:10,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3832707Z [2022-11-23 01:27:10,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method signbit of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3833483Z [2022-11-23 01:27:10,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method signbit of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3834029Z [2022-11-23 01:27:10,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.3834842Z [2022-11-23 01:27:10,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3835557Z [2022-11-23 01:27:10,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.3836343Z [2022-11-23 01:27:10,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3837129Z [2022-11-23 01:27:10,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.3837682Z [2022-11-23 01:27:10,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_INVERT None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3838218Z [2022-11-23 01:27:10,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3838846Z [2022-11-23 01:27:10,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3839384Z [2022-11-23 01:27:10,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3839874Z [2022-11-23 01:27:10,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3840653Z [2022-11-23 01:27:10,687] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f64a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2656>
2022-11-23T01:30:20.3841134Z [2022-11-23 01:27:10,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3841602Z [2022-11-23 01:27:10,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3842087Z [2022-11-23 01:27:10,688] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3842591Z [2022-11-23 01:27:10,692] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3842964Z [2022-11-23 01:27:10,692] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3843221Z  __compiled_fn_361 <eval_with_key>.2983 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3843403Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3843917Z call_function, signbit, <built-in method signbit of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.3844251Z call_function, neg, <built-in function neg>, (ex_0_,), {}
2022-11-23T01:30:20.3844714Z call_function, signbit_1, <built-in method signbit of type object at 0x7ff5d7c59c60>, (neg,), {}
2022-11-23T01:30:20.3845089Z call_function, invert, <built-in function invert>, (signbit_1,), {}
2022-11-23T01:30:20.3845421Z call_function, and_, <built-in function and_>, (invert, 1), {}
2022-11-23T01:30:20.3845630Z output, output, output, ((signbit, and_),), {}
2022-11-23T01:30:20.3845640Z 
2022-11-23T01:30:20.3846292Z [2022-11-23 01:27:10,692] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3846467Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3846638Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3846896Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3847077Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3847245Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3847398Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3847546Z              12 RETURN_VALUE
2022-11-23T01:30:20.3847555Z 
2022-11-23T01:30:20.3847672Z  
2022-11-23T01:30:20.3848332Z [2022-11-23 01:27:10,693] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3848538Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_361)
2022-11-23T01:30:20.3848710Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3848881Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3849011Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3849181Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.3849382Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3849573Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3849743Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3849891Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.3850078Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3850225Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3850373Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.3850539Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.3850683Z              26 RETURN_VALUE
2022-11-23T01:30:20.3850693Z 
2022-11-23T01:30:20.3850806Z  
2022-11-23T01:30:20.3851163Z [2022-11-23 01:27:10,693] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3851305Z  - 
2022-11-23T01:30:20.3851541Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3851647Z             {
2022-11-23T01:30:20.3851925Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3852296Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.3852535Z                 'obj_weakref': None
2022-11-23T01:30:20.3852978Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3853107Z             }
2022-11-23T01:30:20.3853230Z             
2022-11-23T01:30:20.3853346Z  - 
2022-11-23T01:30:20.3853589Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3853714Z             {
2022-11-23T01:30:20.3853998Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3854208Z                 'code': None,
2022-11-23T01:30:20.3854618Z                 'obj_weakref': <weakref at 0x7ff57ff524d0; to 'Tensor' at 0x7ff58fcd7d30>
2022-11-23T01:30:20.3855122Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3855226Z             }
2022-11-23T01:30:20.3855348Z             
2022-11-23T01:30:20.3855484Z  - 
2022-11-23T01:30:20.3855741Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3855866Z             {
2022-11-23T01:30:20.3856174Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3856599Z                 'code': ['___check_obj_id(model, 140693070179648)'],
2022-11-23T01:30:20.3856824Z                 'obj_weakref': None
2022-11-23T01:30:20.3857272Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3857397Z             }
2022-11-23T01:30:20.3857524Z             
2022-11-23T01:30:20.3857656Z  - 
2022-11-23T01:30:20.3857900Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3858005Z             {
2022-11-23T01:30:20.3858270Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3858697Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3858934Z                 'obj_weakref': None
2022-11-23T01:30:20.3859436Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3859556Z             }
2022-11-23T01:30:20.3859680Z             
2022-11-23T01:30:20.3859814Z  - 
2022-11-23T01:30:20.3860060Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3860182Z             {
2022-11-23T01:30:20.3860417Z                 'guard_types': None,
2022-11-23T01:30:20.3860622Z                 'code': None,
2022-11-23T01:30:20.3860854Z                 'obj_weakref': None
2022-11-23T01:30:20.3861090Z                 'guarded_class': None
2022-11-23T01:30:20.3861192Z             }
2022-11-23T01:30:20.3861311Z             
2022-11-23T01:30:20.3861837Z [2022-11-23 01:27:10,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 354
2022-11-23T01:30:20.3862590Z [2022-11-23 01:27:12,140] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ro/crozuhtxmpzttqo5fhfrrcsimqwnzmry5ist5ydaqo2rrhuposit.py
2022-11-23T01:30:20.3863125Z [2022-11-23 01:27:12,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 354
2022-11-23T01:30:20.3863135Z 
2022-11-23T01:30:20.3863321Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3863457Z import torch
2022-11-23T01:30:20.3863593Z import random
2022-11-23T01:30:20.3863800Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3864038Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3864047Z 
2022-11-23T01:30:20.3864200Z aten = torch.ops.aten
2022-11-23T01:30:20.3864462Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3864638Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3864648Z 
2022-11-23T01:30:20.3864655Z 
2022-11-23T01:30:20.3864922Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3865325Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3865553Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3865726Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:30:20.3865905Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:20.3866021Z {
2022-11-23T01:30:20.3866213Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3866331Z     {
2022-11-23T01:30:20.3866477Z         #pragma omp for 
2022-11-23T01:30:20.3866638Z         for(long i0=0; i0<72; i0+=1)
2022-11-23T01:30:20.3866746Z         {
2022-11-23T01:30:20.3866863Z             {
2022-11-23T01:30:20.3866988Z                 {
2022-11-23T01:30:20.3867161Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3867363Z                     auto tmp1 = std::signbit(tmp0);
2022-11-23T01:30:20.3867605Z                     auto tmp2 = -tmp0;
2022-11-23T01:30:20.3867800Z                     auto tmp3 = std::signbit(tmp2);
2022-11-23T01:30:20.3867949Z                     auto tmp4 = tmp3 == 0;
2022-11-23T01:30:20.3868150Z                     auto tmp5 = static_cast<long>(tmp4);
2022-11-23T01:30:20.3868345Z                     auto tmp6 = static_cast<long>(1);
2022-11-23T01:30:20.3868515Z                     auto tmp7 = tmp5 & tmp6;
2022-11-23T01:30:20.3868725Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.3868889Z                     out_ptr1[i0] = tmp7;
2022-11-23T01:30:20.3869009Z                 }
2022-11-23T01:30:20.3869110Z             }
2022-11-23T01:30:20.3869228Z         }
2022-11-23T01:30:20.3869346Z     }
2022-11-23T01:30:20.3869466Z }
2022-11-23T01:30:20.3869618Z ''')
2022-11-23T01:30:20.3869627Z 
2022-11-23T01:30:20.3869636Z 
2022-11-23T01:30:20.3869809Z async_compile.wait(globals())
2022-11-23T01:30:20.3869948Z del async_compile
2022-11-23T01:30:20.3869957Z 
2022-11-23T01:30:20.3870068Z def call(args):
2022-11-23T01:30:20.3870200Z     arg0_1, = args
2022-11-23T01:30:20.3870338Z     args.clear()
2022-11-23T01:30:20.3870735Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.3871137Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.3871496Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.3871624Z     del arg0_1
2022-11-23T01:30:20.3871752Z     return (buf0, buf1, )
2022-11-23T01:30:20.3871761Z 
2022-11-23T01:30:20.3871768Z 
2022-11-23T01:30:20.3871863Z if __name__ == "__main__":
2022-11-23T01:30:20.3872007Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3872129Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3872345Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3872451Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3872457Z 
2022-11-23T01:30:20.3872522Z ok (1.464s)
2022-11-23T01:30:20.3872817Z   test_silu_cpu (__main__.CpuTests) ... [2022-11-23 01:27:12,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3873140Z [2022-11-23 01:27:12,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3873348Z [2022-11-23 01:27:12,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3873598Z [2022-11-23 01:27:12,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3873928Z [2022-11-23 01:27:12,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3874249Z [2022-11-23 01:27:12,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3874593Z [2022-11-23 01:27:12,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3874920Z [2022-11-23 01:27:12,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3875302Z [2022-11-23 01:27:12,146] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1683a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036> 
2022-11-23T01:30:20.3875400Z  1037           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3875490Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:30:20.3875591Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:30:20.3875671Z                6 LOAD_METHOD              3 (silu)
2022-11-23T01:30:20.3875760Z                8 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3875848Z               10 CALL_METHOD              1
2022-11-23T01:30:20.3875936Z               12 BUILD_TUPLE              1
2022-11-23T01:30:20.3876014Z               14 RETURN_VALUE
2022-11-23T01:30:20.3876074Z  
2022-11-23T01:30:20.3876081Z 
2022-11-23T01:30:20.3876400Z [2022-11-23 01:27:12,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1037
2022-11-23T01:30:20.3876658Z [2022-11-23 01:27:12,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3877005Z [2022-11-23 01:27:12,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3877389Z [2022-11-23 01:27:12,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:20.3877787Z [2022-11-23 01:27:12,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:20.3878071Z [2022-11-23 01:27:12,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function silu at 0x7ff5aefcb640>)]
2022-11-23T01:30:20.3878423Z [2022-11-23 01:27:12,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function silu at 0x7ff5aefcb640>), TensorVariable()]
2022-11-23T01:30:20.3878662Z [2022-11-23 01:27:12,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.3878903Z [2022-11-23 01:27:12,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3879278Z [2022-11-23 01:27:12,149] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1683a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1036>
2022-11-23T01:30:20.3879520Z [2022-11-23 01:27:12,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3879752Z [2022-11-23 01:27:12,149] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3880006Z [2022-11-23 01:27:12,150] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3880241Z [2022-11-23 01:27:12,153] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3880431Z [2022-11-23 01:27:12,153] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3880564Z  __compiled_fn_362 <eval_with_key>.2989 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3880653Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3880783Z call_function, silu, <function silu at 0x7ff5aefcb640>, (ex_0_,), {}
2022-11-23T01:30:20.3880876Z output, output, output, ((silu,),), {}
2022-11-23T01:30:20.3880882Z 
2022-11-23T01:30:20.3881203Z [2022-11-23 01:27:12,154] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3881296Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3881376Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3881462Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3881555Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3881640Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3881728Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3881802Z              12 RETURN_VALUE
2022-11-23T01:30:20.3881807Z 
2022-11-23T01:30:20.3881868Z  
2022-11-23T01:30:20.3882186Z [2022-11-23 01:27:12,154] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3882281Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_362)
2022-11-23T01:30:20.3882369Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3882458Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3882534Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3882622Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.3882722Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3882854Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3882932Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3883007Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.3883094Z              18 BUILD_TUPLE              1
2022-11-23T01:30:20.3883168Z              20 RETURN_VALUE
2022-11-23T01:30:20.3883173Z 
2022-11-23T01:30:20.3883232Z  
2022-11-23T01:30:20.3883413Z [2022-11-23 01:27:12,154] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3883481Z  - 
2022-11-23T01:30:20.3883587Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3883650Z             {
2022-11-23T01:30:20.3883790Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3883977Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.3884135Z                 'obj_weakref': None
2022-11-23T01:30:20.3884359Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3884426Z             }
2022-11-23T01:30:20.3884476Z             
2022-11-23T01:30:20.3884544Z  - 
2022-11-23T01:30:20.3884668Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3884730Z             {
2022-11-23T01:30:20.3884871Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3884975Z                 'code': None,
2022-11-23T01:30:20.3885187Z                 'obj_weakref': <weakref at 0x7ff57f8b3100; to 'Tensor' at 0x7ff58fdf2e30>
2022-11-23T01:30:20.3885427Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3885490Z             }
2022-11-23T01:30:20.3885553Z             
2022-11-23T01:30:20.3885623Z  - 
2022-11-23T01:30:20.3885756Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3885818Z             {
2022-11-23T01:30:20.3885953Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3886107Z                 'code': ['___check_obj_id(model, 140692656235008)'],
2022-11-23T01:30:20.3886225Z                 'obj_weakref': None
2022-11-23T01:30:20.3886456Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3886519Z             }
2022-11-23T01:30:20.3886581Z             
2022-11-23T01:30:20.3886648Z  - 
2022-11-23T01:30:20.3886767Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3886817Z             {
2022-11-23T01:30:20.3886953Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3887168Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3887286Z                 'obj_weakref': None
2022-11-23T01:30:20.3887505Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3887569Z             }
2022-11-23T01:30:20.3887630Z             
2022-11-23T01:30:20.3887684Z  - 
2022-11-23T01:30:20.3887816Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3887877Z             {
2022-11-23T01:30:20.3888000Z                 'guard_types': None,
2022-11-23T01:30:20.3888104Z                 'code': None,
2022-11-23T01:30:20.3888219Z                 'obj_weakref': None
2022-11-23T01:30:20.3888337Z                 'guarded_class': None
2022-11-23T01:30:20.3888387Z             }
2022-11-23T01:30:20.3888447Z             
2022-11-23T01:30:20.3888705Z [2022-11-23 01:27:12,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 355
2022-11-23T01:30:20.3889073Z [2022-11-23 01:27:13,613] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oy/coylj5ojiusgjiysjq5tu4mvztw6hreivdooqyhr6o53pwq63mxg.py
2022-11-23T01:30:20.3889340Z [2022-11-23 01:27:13,613] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 355
2022-11-23T01:30:20.3889348Z 
2022-11-23T01:30:20.3889440Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3889509Z import torch
2022-11-23T01:30:20.3889577Z import random
2022-11-23T01:30:20.3889709Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3889831Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3889836Z 
2022-11-23T01:30:20.3889914Z aten = torch.ops.aten
2022-11-23T01:30:20.3890048Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3890139Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3890144Z 
2022-11-23T01:30:20.3890148Z 
2022-11-23T01:30:20.3890281Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3890486Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3890604Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3890692Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3890752Z {
2022-11-23T01:30:20.3890876Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3890939Z     {
2022-11-23T01:30:20.3891015Z         #pragma omp for 
2022-11-23T01:30:20.3891097Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.3891158Z         {
2022-11-23T01:30:20.3891283Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3891417Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:30:20.3891502Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.3891593Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3891657Z         }
2022-11-23T01:30:20.3891752Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3891833Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.3891882Z         {
2022-11-23T01:30:20.3891963Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3892100Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:30:20.3892183Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:30:20.3892267Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:30:20.3892346Z             out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.3892407Z         }
2022-11-23T01:30:20.3892456Z     }
2022-11-23T01:30:20.3892516Z }
2022-11-23T01:30:20.3892593Z ''')
2022-11-23T01:30:20.3892598Z 
2022-11-23T01:30:20.3892603Z 
2022-11-23T01:30:20.3892691Z async_compile.wait(globals())
2022-11-23T01:30:20.3892763Z del async_compile
2022-11-23T01:30:20.3892768Z 
2022-11-23T01:30:20.3892836Z def call(args):
2022-11-23T01:30:20.3892904Z     arg0_1, = args
2022-11-23T01:30:20.3892961Z     args.clear()
2022-11-23T01:30:20.3893157Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3893288Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3893357Z     del arg0_1
2022-11-23T01:30:20.3893427Z     return (buf0, )
2022-11-23T01:30:20.3893431Z 
2022-11-23T01:30:20.3893435Z 
2022-11-23T01:30:20.3893510Z if __name__ == "__main__":
2022-11-23T01:30:20.3893624Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3893744Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3893929Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3894036Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3894041Z 
2022-11-23T01:30:20.3894110Z ok (1.473s)
2022-11-23T01:30:20.3894427Z   test_simplify_loops_cpu (__main__.CpuTests) ... [2022-11-23 01:27:13,619] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3894743Z [2022-11-23 01:27:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3894962Z [2022-11-23 01:27:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3895217Z [2022-11-23 01:27:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3895499Z [2022-11-23 01:27:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3895858Z [2022-11-23 01:27:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3896192Z [2022-11-23 01:27:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3896621Z [2022-11-23 01:27:13,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3896994Z [2022-11-23 01:27:13,620] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281> 
2022-11-23T01:30:20.3897092Z  1282           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3897241Z                2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.3897319Z                4 BINARY_ADD
2022-11-23T01:30:20.3897395Z                6 RETURN_VALUE
2022-11-23T01:30:20.3897460Z  
2022-11-23T01:30:20.3897465Z 
2022-11-23T01:30:20.3897783Z [2022-11-23 01:27:13,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1282
2022-11-23T01:30:20.3897980Z [2022-11-23 01:27:13,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.3898217Z [2022-11-23 01:27:13,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.3898490Z [2022-11-23 01:27:13,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3898738Z [2022-11-23 01:27:13,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3899120Z [2022-11-23 01:27:13,621] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16a130, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1281>
2022-11-23T01:30:20.3899371Z [2022-11-23 01:27:13,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3899605Z [2022-11-23 01:27:13,621] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3899860Z [2022-11-23 01:27:13,622] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3900110Z [2022-11-23 01:27:13,625] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3900284Z [2022-11-23 01:27:13,625] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3900419Z  __compiled_fn_363 <eval_with_key>.2995 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3900510Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3900599Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.3900781Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.3900878Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.3900885Z 
2022-11-23T01:30:20.3901210Z [2022-11-23 01:27:13,626] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3901305Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3901383Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3901471Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3901566Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3901652Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3901741Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3901818Z              12 RETURN_VALUE
2022-11-23T01:30:20.3901823Z 
2022-11-23T01:30:20.3901885Z  
2022-11-23T01:30:20.3902213Z [2022-11-23 01:27:13,626] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3902346Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_363)
2022-11-23T01:30:20.3902439Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3902530Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3902608Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3902701Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3902788Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3902863Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.3902937Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.3903027Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3903104Z              18 RETURN_VALUE
2022-11-23T01:30:20.3903109Z 
2022-11-23T01:30:20.3903174Z  
2022-11-23T01:30:20.3903356Z [2022-11-23 01:27:13,627] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3903453Z  - 
2022-11-23T01:30:20.3903572Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3903625Z             {
2022-11-23T01:30:20.3903768Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3903955Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.3904076Z                 'obj_weakref': None
2022-11-23T01:30:20.3904299Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3904362Z             }
2022-11-23T01:30:20.3904424Z             
2022-11-23T01:30:20.3904480Z  - 
2022-11-23T01:30:20.3904602Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3904664Z             {
2022-11-23T01:30:20.3904807Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3904912Z                 'code': None,
2022-11-23T01:30:20.3905121Z                 'obj_weakref': <weakref at 0x7ff57f8e3ab0; to 'Tensor' at 0x7ff58ffd09f0>
2022-11-23T01:30:20.3905377Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3905428Z             }
2022-11-23T01:30:20.3905493Z             
2022-11-23T01:30:20.3905561Z  - 
2022-11-23T01:30:20.3905683Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.3905746Z             {
2022-11-23T01:30:20.3905886Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3905991Z                 'code': None,
2022-11-23T01:30:20.3906188Z                 'obj_weakref': <weakref at 0x7ff57ff50220; to 'Tensor' at 0x7ff57f8b0db0>
2022-11-23T01:30:20.3906438Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3906500Z             }
2022-11-23T01:30:20.3906562Z             
2022-11-23T01:30:20.3906629Z  - 
2022-11-23T01:30:20.3906757Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3906818Z             {
2022-11-23T01:30:20.3906941Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3907109Z                 'code': ['___check_obj_id(model, 140692656234432)'],
2022-11-23T01:30:20.3907226Z                 'obj_weakref': None
2022-11-23T01:30:20.3907458Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3907521Z             }
2022-11-23T01:30:20.3907582Z             
2022-11-23T01:30:20.3907650Z  - 
2022-11-23T01:30:20.3907758Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3907820Z             {
2022-11-23T01:30:20.3907953Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3913051Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3913213Z                 'obj_weakref': None
2022-11-23T01:30:20.3913449Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3913518Z             }
2022-11-23T01:30:20.3913589Z             
2022-11-23T01:30:20.3913930Z [2022-11-23 01:27:13,632] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 356
2022-11-23T01:30:20.3914392Z [2022-11-23 01:27:15,068] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpmsgkdxcu3jprz7cpru7id4zz7vrxwvigjugakztws6l3igsdg.py
2022-11-23T01:30:20.3914661Z [2022-11-23 01:27:15,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 356
2022-11-23T01:30:20.3914670Z 
2022-11-23T01:30:20.3914766Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3914836Z import torch
2022-11-23T01:30:20.3914908Z import random
2022-11-23T01:30:20.3915026Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3915147Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3915153Z 
2022-11-23T01:30:20.3915219Z aten = torch.ops.aten
2022-11-23T01:30:20.3915354Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3915493Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3915498Z 
2022-11-23T01:30:20.3915502Z 
2022-11-23T01:30:20.3915639Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3915849Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3915971Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3916078Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.3916179Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3916227Z {
2022-11-23T01:30:20.3916327Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3916390Z     {
2022-11-23T01:30:20.3916481Z         #pragma omp for  collapse(2)
2022-11-23T01:30:20.3916563Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:20.3916628Z         {
2022-11-23T01:30:20.3916710Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.3916761Z             {
2022-11-23T01:30:20.3916851Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T01:30:20.3916919Z                 {
2022-11-23T01:30:20.3917078Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i2) + (30*i1) + (120*i0));
2022-11-23T01:30:20.3917228Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i2) + (30*i0) + (180*i1));
2022-11-23T01:30:20.3917321Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.3917431Z                     tmp2.store(out_ptr0 + (8*i2) + (30*i1) + (120*i0));
2022-11-23T01:30:20.3917498Z                 }
2022-11-23T01:30:20.3917582Z                 #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.3917673Z                 for(long i2=24; i2<30; i2+=1)
2022-11-23T01:30:20.3917737Z                 {
2022-11-23T01:30:20.3917843Z                     auto tmp0 = in_ptr0[i2 + (30*i1) + (120*i0)];
2022-11-23T01:30:20.3917949Z                     auto tmp1 = in_ptr1[i2 + (30*i0) + (180*i1)];
2022-11-23T01:30:20.3918044Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.3918147Z                     out_ptr0[i2 + (30*i1) + (120*i0)] = tmp2;
2022-11-23T01:30:20.3918199Z                 }
2022-11-23T01:30:20.3918264Z             }
2022-11-23T01:30:20.3918330Z         }
2022-11-23T01:30:20.3918392Z     }
2022-11-23T01:30:20.3918453Z }
2022-11-23T01:30:20.3918533Z ''')
2022-11-23T01:30:20.3918538Z 
2022-11-23T01:30:20.3918542Z 
2022-11-23T01:30:20.3918631Z async_compile.wait(globals())
2022-11-23T01:30:20.3918690Z del async_compile
2022-11-23T01:30:20.3918695Z 
2022-11-23T01:30:20.3918767Z def call(args):
2022-11-23T01:30:20.3918842Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.3918915Z     args.clear()
2022-11-23T01:30:20.3919140Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3919302Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3919370Z     del arg0_1
2022-11-23T01:30:20.3919424Z     del arg1_1
2022-11-23T01:30:20.3919500Z     return (buf0, )
2022-11-23T01:30:20.3919505Z 
2022-11-23T01:30:20.3919509Z 
2022-11-23T01:30:20.3919589Z if __name__ == "__main__":
2022-11-23T01:30:20.3919732Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3919857Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3920081Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3920301Z     arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3920417Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.3920422Z 
2022-11-23T01:30:20.3920489Z ok (1.455s)
2022-11-23T01:30:20.3920772Z   test_sin_cpu (__main__.CpuTests) ... [2022-11-23 01:27:15,073] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3921090Z [2022-11-23 01:27:15,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3921337Z [2022-11-23 01:27:15,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3921594Z [2022-11-23 01:27:15,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3921873Z [2022-11-23 01:27:15,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3922194Z [2022-11-23 01:27:15,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3922539Z [2022-11-23 01:27:15,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3922860Z [2022-11-23 01:27:15,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3923243Z [2022-11-23 01:27:15,074] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d112b80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143> 
2022-11-23T01:30:20.3923342Z  2144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3923423Z                2 LOAD_METHOD              1 (sin)
2022-11-23T01:30:20.3923515Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3923604Z                6 CALL_METHOD              1
2022-11-23T01:30:20.3923693Z                8 LOAD_CONST               1 (2)
2022-11-23T01:30:20.3923769Z               10 BINARY_ADD
2022-11-23T01:30:20.3923863Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.3923955Z               14 LOAD_METHOD              1 (sin)
2022-11-23T01:30:20.3924031Z               16 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3924121Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3924193Z               20 BINARY_ADD
2022-11-23T01:30:20.3924283Z               22 CALL_METHOD              1
2022-11-23T01:30:20.3924373Z               24 BUILD_TUPLE              2
2022-11-23T01:30:20.3924450Z               26 RETURN_VALUE
2022-11-23T01:30:20.3924512Z  
2022-11-23T01:30:20.3924517Z 
2022-11-23T01:30:20.3924821Z [2022-11-23 01:27:15,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2144
2022-11-23T01:30:20.3925041Z [2022-11-23 01:27:15,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.3925345Z [2022-11-23 01:27:15,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3925596Z [2022-11-23 01:27:15,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.sin)]
2022-11-23T01:30:20.3925878Z [2022-11-23 01:27:15,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:30:20.3926117Z [2022-11-23 01:27:15,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.3926428Z [2022-11-23 01:27:15,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3926672Z [2022-11-23 01:27:15,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.3927004Z [2022-11-23 01:27:15,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.3927278Z [2022-11-23 01:27:15,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.sin)]
2022-11-23T01:30:20.3927570Z [2022-11-23 01:27:15,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:30:20.3927922Z [2022-11-23 01:27:15,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.sin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3928261Z [2022-11-23 01:27:15,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:30:20.3928529Z [2022-11-23 01:27:15,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3928777Z [2022-11-23 01:27:15,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3929160Z [2022-11-23 01:27:15,090] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d112b80, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2143>
2022-11-23T01:30:20.3929406Z [2022-11-23 01:27:15,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3929641Z [2022-11-23 01:27:15,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3929896Z [2022-11-23 01:27:15,091] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3930149Z [2022-11-23 01:27:15,095] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3930325Z [2022-11-23 01:27:15,096] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3930460Z  __compiled_fn_364 <eval_with_key>.3001 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3930552Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3930654Z call_function, sin, aten.sin, (ex_0_,), {}
2022-11-23T01:30:20.3930825Z call_function, add, <built-in function add>, (sin, 2), {}
2022-11-23T01:30:20.3930998Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.3931101Z call_function, sin_1, aten.sin, (add_1,), {}
2022-11-23T01:30:20.3931203Z output, output, output, ((add, sin_1),), {}
2022-11-23T01:30:20.3931212Z 
2022-11-23T01:30:20.3931525Z [2022-11-23 01:27:15,096] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3931620Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3931713Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3931802Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3931897Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3931984Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3932074Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3932137Z              12 RETURN_VALUE
2022-11-23T01:30:20.3932155Z 
2022-11-23T01:30:20.3932203Z  
2022-11-23T01:30:20.3932525Z [2022-11-23 01:27:15,096] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3932635Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_364)
2022-11-23T01:30:20.3932726Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3932853Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3932932Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3933022Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.3933113Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.3933213Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3933304Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3933380Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.3933482Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.3933569Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3933646Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.3933722Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.3933796Z              26 RETURN_VALUE
2022-11-23T01:30:20.3933828Z 
2022-11-23T01:30:20.3933890Z  
2022-11-23T01:30:20.3934072Z [2022-11-23 01:27:15,097] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3934142Z  - 
2022-11-23T01:30:20.3934264Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3934329Z             {
2022-11-23T01:30:20.3934459Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3934648Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.3934768Z                 'obj_weakref': None
2022-11-23T01:30:20.3934993Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3935059Z             }
2022-11-23T01:30:20.3935123Z             
2022-11-23T01:30:20.3935193Z  - 
2022-11-23T01:30:20.3935303Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3935366Z             {
2022-11-23T01:30:20.3935509Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3935615Z                 'code': None,
2022-11-23T01:30:20.3935835Z                 'obj_weakref': <weakref at 0x7ff57ff52f20; to 'Tensor' at 0x7ff57f9120c0>
2022-11-23T01:30:20.3936090Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3936156Z             }
2022-11-23T01:30:20.3936220Z             
2022-11-23T01:30:20.3936277Z  - 
2022-11-23T01:30:20.3936408Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3936602Z             {
2022-11-23T01:30:20.3936737Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3936909Z                 'code': ['___check_obj_id(model, 140693155902032)'],
2022-11-23T01:30:20.3937029Z                 'obj_weakref': None
2022-11-23T01:30:20.3937260Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3937311Z             }
2022-11-23T01:30:20.3937374Z             
2022-11-23T01:30:20.3937443Z  - 
2022-11-23T01:30:20.3937568Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3937632Z             {
2022-11-23T01:30:20.3937767Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3937972Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3938093Z                 'obj_weakref': None
2022-11-23T01:30:20.3938314Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3938378Z             }
2022-11-23T01:30:20.3938442Z             
2022-11-23T01:30:20.3938511Z  - 
2022-11-23T01:30:20.3938641Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.3938693Z             {
2022-11-23T01:30:20.3938813Z                 'guard_types': None,
2022-11-23T01:30:20.3938923Z                 'code': None,
2022-11-23T01:30:20.3939040Z                 'obj_weakref': None
2022-11-23T01:30:20.3939162Z                 'guarded_class': None
2022-11-23T01:30:20.3939226Z             }
2022-11-23T01:30:20.3939293Z             
2022-11-23T01:30:20.3939538Z [2022-11-23 01:27:15,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 357
2022-11-23T01:30:20.3939957Z [2022-11-23 01:27:16,551] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b6/cb6mrm23kb4i34434jxzmbrumj3ixhmonlikgoe3wbf7tkw36bt3.py
2022-11-23T01:30:20.3940224Z [2022-11-23 01:27:16,551] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 357
2022-11-23T01:30:20.3940230Z 
2022-11-23T01:30:20.3940324Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3940394Z import torch
2022-11-23T01:30:20.3940465Z import random
2022-11-23T01:30:20.3940583Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3940703Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3940708Z 
2022-11-23T01:30:20.3940772Z aten = torch.ops.aten
2022-11-23T01:30:20.3940905Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3941036Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3941041Z 
2022-11-23T01:30:20.3941046Z 
2022-11-23T01:30:20.3941180Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3941389Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3941510Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3941612Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.3941708Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.3941757Z {
2022-11-23T01:30:20.3941857Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3941919Z     {
2022-11-23T01:30:20.3942001Z         #pragma omp for 
2022-11-23T01:30:20.3942085Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.3942152Z         {
2022-11-23T01:30:20.3942288Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.3942360Z             auto tmp1 = tmp0.sin();
2022-11-23T01:30:20.3942495Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.3942584Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.3942717Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.3942803Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:20.3942888Z             auto tmp6 = tmp5.sin();
2022-11-23T01:30:20.3942980Z             tmp3.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.3943071Z             tmp6.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.3943121Z         }
2022-11-23T01:30:20.3943216Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.3943300Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:20.3943363Z         {
2022-11-23T01:30:20.3943446Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.3943536Z             auto tmp1 = std::sin(tmp0);
2022-11-23T01:30:20.3943638Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:30:20.3943709Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.3943810Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:30:20.3943894Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:30:20.3943984Z             auto tmp6 = std::sin(tmp5);
2022-11-23T01:30:20.3944067Z             out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.3944146Z             out_ptr1[i0] = tmp6;
2022-11-23T01:30:20.3944195Z         }
2022-11-23T01:30:20.3944257Z     }
2022-11-23T01:30:20.3944317Z }
2022-11-23T01:30:20.3944397Z ''')
2022-11-23T01:30:20.3944402Z 
2022-11-23T01:30:20.3944406Z 
2022-11-23T01:30:20.3944498Z async_compile.wait(globals())
2022-11-23T01:30:20.3944572Z del async_compile
2022-11-23T01:30:20.3944577Z 
2022-11-23T01:30:20.3944649Z def call(args):
2022-11-23T01:30:20.3944720Z     arg0_1, = args
2022-11-23T01:30:20.3944777Z     args.clear()
2022-11-23T01:30:20.3944982Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3945181Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3945352Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.3945421Z     del arg0_1
2022-11-23T01:30:20.3945545Z     return (buf0, buf1, )
2022-11-23T01:30:20.3945551Z 
2022-11-23T01:30:20.3945555Z 
2022-11-23T01:30:20.3945634Z if __name__ == "__main__":
2022-11-23T01:30:20.3945751Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3945861Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3946062Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3946170Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3946175Z 
2022-11-23T01:30:20.3946243Z ok (1.483s)
2022-11-23T01:30:20.3946563Z   test_sizehint_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:16,560] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3946879Z [2022-11-23 01:27:16,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3947129Z [2022-11-23 01:27:16,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3947387Z [2022-11-23 01:27:16,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3947651Z [2022-11-23 01:27:16,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3947975Z [2022-11-23 01:27:16,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3948322Z [2022-11-23 01:27:16,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3948646Z [2022-11-23 01:27:16,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3949036Z [2022-11-23 01:27:16,561] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d0b09d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498> 
2022-11-23T01:30:20.3949135Z  4499           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.3949229Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:30:20.3949333Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:30:20.3949424Z                6 LOAD_ATTR                3 (unfold)
2022-11-23T01:30:20.3949429Z 
2022-11-23T01:30:20.3949519Z 4500           8 LOAD_FAST                0 (x)
2022-11-23T01:30:20.3949598Z               10 LOAD_CONST               1 (4)
2022-11-23T01:30:20.3949686Z               12 LOAD_CONST               1 (4)
2022-11-23T01:30:20.3949775Z               14 BUILD_LIST               2
2022-11-23T01:30:20.3949863Z               16 LOAD_CONST               2 (1)
2022-11-23T01:30:20.3949953Z               18 LOAD_CONST               3 (0)
2022-11-23T01:30:20.3950040Z               20 LOAD_CONST               1 (4)
2022-11-23T01:30:20.3950130Z               22 LOAD_CONST               1 (4)
2022-11-23T01:30:20.3950204Z               24 BUILD_LIST               2
2022-11-23T01:30:20.3950209Z 
2022-11-23T01:30:20.3950421Z 4499          26 LOAD_CONST               4 (('kernel_size', 'dilation', 'padding', 'stride'))
2022-11-23T01:30:20.3950517Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:30:20.3950596Z               30 RETURN_VALUE
2022-11-23T01:30:20.3950658Z  
2022-11-23T01:30:20.3950663Z 
2022-11-23T01:30:20.3950980Z [2022-11-23 01:27:16,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T01:30:20.3951203Z [2022-11-23 01:27:16,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.3951565Z [2022-11-23 01:27:16,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.3951981Z [2022-11-23 01:27:16,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.10/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:30:20.3952372Z [2022-11-23 01:27:16,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unfold [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:30:20.3952686Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4500
2022-11-23T01:30:20.3952977Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function unfold at 0x7ff5aee3d120>)]
2022-11-23T01:30:20.3953295Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable()]
2022-11-23T01:30:20.3953679Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3954148Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.3954492Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.3954868Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3955283Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.3955739Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.3956227Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.3956540Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4499
2022-11-23T01:30:20.3957052Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'dilation', 'padding', 'stride') [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable()]
2022-11-23T01:30:20.3957547Z [2022-11-23 01:27:16,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(<function unfold at 0x7ff5aee3d120>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.3957799Z [2022-11-23 01:27:16,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3958173Z [2022-11-23 01:27:16,571] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d0b09d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4498>
2022-11-23T01:30:20.3958421Z [2022-11-23 01:27:16,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.3958656Z [2022-11-23 01:27:16,571] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3958941Z [2022-11-23 01:27:16,572] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3959192Z [2022-11-23 01:27:16,580] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3959380Z [2022-11-23 01:27:16,580] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3959514Z  __compiled_fn_365 <eval_with_key>.3007 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3959605Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3959900Z call_function, unfold, <function unfold at 0x7ff5aee3d120>, (ex_0_,), {'kernel_size': [4, 4], 'dilation': 1, 'padding': 0, 'stride': [4, 4]}
2022-11-23T01:30:20.3959989Z output, output, output, ((unfold,),), {}
2022-11-23T01:30:20.3960009Z 
2022-11-23T01:30:20.3960323Z [2022-11-23 01:27:16,581] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3960446Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.3960540Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3960627Z               4 BUILD_MAP                0
2022-11-23T01:30:20.3960720Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.3960809Z               8 DICT_MERGE               1
2022-11-23T01:30:20.3960897Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.3960960Z              12 RETURN_VALUE
2022-11-23T01:30:20.3960966Z 
2022-11-23T01:30:20.3961029Z  
2022-11-23T01:30:20.3961352Z [2022-11-23 01:27:16,581] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.3961462Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_365)
2022-11-23T01:30:20.3961552Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.3961644Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.3961723Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.3961815Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.3961893Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.3961969Z              12 RETURN_VALUE
2022-11-23T01:30:20.3961973Z 
2022-11-23T01:30:20.3962034Z  
2022-11-23T01:30:20.3962216Z [2022-11-23 01:27:16,581] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.3962287Z  - 
2022-11-23T01:30:20.3962408Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.3962473Z             {
2022-11-23T01:30:20.3962603Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.3962788Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.3962909Z                 'obj_weakref': None
2022-11-23T01:30:20.3963133Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.3963203Z             }
2022-11-23T01:30:20.3963267Z             
2022-11-23T01:30:20.3963338Z  - 
2022-11-23T01:30:20.3963449Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.3963515Z             {
2022-11-23T01:30:20.3963657Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.3963765Z                 'code': None,
2022-11-23T01:30:20.3963978Z                 'obj_weakref': <weakref at 0x7ff58f9c9850; to 'Tensor' at 0x7ff57f8e1530>
2022-11-23T01:30:20.3964232Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.3964297Z             }
2022-11-23T01:30:20.3964347Z             
2022-11-23T01:30:20.3964419Z  - 
2022-11-23T01:30:20.3964550Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.3964614Z             {
2022-11-23T01:30:20.3964749Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.3964918Z                 'code': ['___check_obj_id(model, 140692390549328)'],
2022-11-23T01:30:20.3965040Z                 'obj_weakref': None
2022-11-23T01:30:20.3965310Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.3965375Z             }
2022-11-23T01:30:20.3965439Z             
2022-11-23T01:30:20.3965507Z  - 
2022-11-23T01:30:20.3965630Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.3965694Z             {
2022-11-23T01:30:20.3965829Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.3966034Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.3966151Z                 'obj_weakref': None
2022-11-23T01:30:20.3966371Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.3966436Z             }
2022-11-23T01:30:20.3966498Z             
2022-11-23T01:30:20.3966569Z  - 
2022-11-23T01:30:20.3966703Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.3966781Z             {
2022-11-23T01:30:20.3966902Z                 'guard_types': None,
2022-11-23T01:30:20.3967010Z                 'code': None,
2022-11-23T01:30:20.3967129Z                 'obj_weakref': None
2022-11-23T01:30:20.3967251Z                 'guarded_class': None
2022-11-23T01:30:20.3967314Z             }
2022-11-23T01:30:20.3967377Z             
2022-11-23T01:30:20.3967622Z [2022-11-23 01:27:16,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 358
2022-11-23T01:30:20.3967998Z [2022-11-23 01:27:18,172] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pn/cpn4cpowxerwglhpdecwv6kp4wphuxw34secpvicsalz44baa3df.py
2022-11-23T01:30:20.3968265Z [2022-11-23 01:27:18,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 358
2022-11-23T01:30:20.3968271Z 
2022-11-23T01:30:20.3968364Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.3968434Z import torch
2022-11-23T01:30:20.3968507Z import random
2022-11-23T01:30:20.3968624Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.3968745Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.3968752Z 
2022-11-23T01:30:20.3968818Z aten = torch.ops.aten
2022-11-23T01:30:20.3968952Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.3969046Z async_compile = AsyncCompile()
2022-11-23T01:30:20.3969051Z 
2022-11-23T01:30:20.3969055Z 
2022-11-23T01:30:20.3969188Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.3969394Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.3969513Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.3969614Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.3969678Z {
2022-11-23T01:30:20.3969764Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.3969826Z     {
2022-11-23T01:30:20.3969904Z         #pragma omp for 
2022-11-23T01:30:20.3969988Z         for(long i0=0; i0<48; i0+=1)
2022-11-23T01:30:20.3970051Z         {
2022-11-23T01:30:20.3970132Z             #pragma GCC ivdep
2022-11-23T01:30:20.3970204Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.3970269Z             {
2022-11-23T01:30:20.3970353Z                 #pragma GCC ivdep
2022-11-23T01:30:20.3970444Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:30:20.3970509Z                 {
2022-11-23T01:30:20.3970592Z                     #pragma GCC ivdep
2022-11-23T01:30:20.3970683Z                     for(long i3=0; i3<14; i3+=1)
2022-11-23T01:30:20.3970738Z                     {
2022-11-23T01:30:20.3970825Z                         #pragma GCC ivdep
2022-11-23T01:30:20.3970919Z                         for(long i4=0; i4<14; i4+=1)
2022-11-23T01:30:20.3970989Z                         {
2022-11-23T01:30:20.3971060Z                             {
2022-11-23T01:30:20.3971131Z                                 {
2022-11-23T01:30:20.3971248Z                                     auto tmp0 = static_cast<long>(4*i3);
2022-11-23T01:30:20.3971347Z                                     auto tmp1 = static_cast<long>(i1);
2022-11-23T01:30:20.3971475Z                                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.3971588Z                                     auto tmp3 = static_cast<long>(4*i4);
2022-11-23T01:30:20.3971697Z                                     auto tmp4 = static_cast<long>(i2);
2022-11-23T01:30:20.3971796Z                                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:20.3971915Z                                     auto tmp6 = in_ptr0[tmp5 + (56*tmp2) + (3136*i0)];
2022-11-23T01:30:20.3972037Z                                     out_ptr0[i4 + (14*i3) + (196*i2) + (784*i1) + (3136*i0)] = tmp6;
2022-11-23T01:30:20.3972112Z                                 }
2022-11-23T01:30:20.3972168Z                             }
2022-11-23T01:30:20.3972236Z                         }
2022-11-23T01:30:20.3972303Z                     }
2022-11-23T01:30:20.3972406Z                 }
2022-11-23T01:30:20.3972470Z             }
2022-11-23T01:30:20.3972532Z         }
2022-11-23T01:30:20.3972594Z     }
2022-11-23T01:30:20.3972643Z }
2022-11-23T01:30:20.3972723Z ''')
2022-11-23T01:30:20.3972728Z 
2022-11-23T01:30:20.3972734Z 
2022-11-23T01:30:20.3972824Z async_compile.wait(globals())
2022-11-23T01:30:20.3972897Z del async_compile
2022-11-23T01:30:20.3972902Z 
2022-11-23T01:30:20.3972971Z def call(args):
2022-11-23T01:30:20.3973042Z     arg0_1, = args
2022-11-23T01:30:20.3973114Z     args.clear()
2022-11-23T01:30:20.3973345Z     buf0 = empty_strided((2, 24, 4, 4, 14, 14), (75264, 3136, 784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3973480Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.3973548Z     del arg0_1
2022-11-23T01:30:20.3973657Z     return (as_strided(buf0, (2, 384, 196), (75264, 196, 1)), )
2022-11-23T01:30:20.3973662Z 
2022-11-23T01:30:20.3973666Z 
2022-11-23T01:30:20.3973745Z if __name__ == "__main__":
2022-11-23T01:30:20.3973859Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.3973987Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.3974214Z     arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.3974309Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.3974314Z 
2022-11-23T01:30:20.3974381Z ok (1.623s)
2022-11-23T01:30:20.3974685Z   test_slice1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:18,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.3974999Z [2022-11-23 01:27:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.3975216Z [2022-11-23 01:27:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.3975471Z [2022-11-23 01:27:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.3975752Z [2022-11-23 01:27:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.3976074Z [2022-11-23 01:27:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3976549Z [2022-11-23 01:27:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3976872Z [2022-11-23 01:27:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.3977234Z [2022-11-23 01:27:18,180] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16b9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673> 
2022-11-23T01:30:20.3977334Z  1675           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3977430Z                2 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3977567Z                4 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3977658Z                6 BUILD_SLICE              2
2022-11-23T01:30:20.3977748Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3977837Z               10 LOAD_CONST               1 (10)
2022-11-23T01:30:20.3977926Z               12 BUILD_SLICE              2
2022-11-23T01:30:20.3978004Z               14 LOAD_CONST               2 (0)
2022-11-23T01:30:20.3978092Z               16 BUILD_TUPLE              3
2022-11-23T01:30:20.3978171Z               18 BINARY_SUBSCR
2022-11-23T01:30:20.3978260Z               20 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3978349Z               22 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3978438Z               24 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3978525Z               26 BUILD_SLICE              2
2022-11-23T01:30:20.3978636Z               28 LOAD_CONST               1 (10)
2022-11-23T01:30:20.3978728Z               30 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3978816Z               32 BUILD_SLICE              2
2022-11-23T01:30:20.3978907Z               34 LOAD_CONST               2 (0)
2022-11-23T01:30:20.3978995Z               36 BUILD_TUPLE              3
2022-11-23T01:30:20.3979073Z               38 BINARY_SUBSCR
2022-11-23T01:30:20.3979147Z               40 BINARY_ADD
2022-11-23T01:30:20.3979152Z 
2022-11-23T01:30:20.3979228Z 1676          42 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3979317Z               44 LOAD_CONST               3 (1)
2022-11-23T01:30:20.3979390Z               46 BINARY_ADD
2022-11-23T01:30:20.3979482Z               48 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3979572Z               50 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3979660Z               52 BUILD_SLICE              2
2022-11-23T01:30:20.3979754Z               54 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3979830Z               56 LOAD_CONST               1 (10)
2022-11-23T01:30:20.3979918Z               58 BUILD_SLICE              2
2022-11-23T01:30:20.3980010Z               60 LOAD_CONST               2 (0)
2022-11-23T01:30:20.3980099Z               62 BUILD_TUPLE              3
2022-11-23T01:30:20.3980178Z               64 BINARY_SUBSCR
2022-11-23T01:30:20.3980264Z               66 LOAD_FAST                0 (a)
2022-11-23T01:30:20.3980353Z               68 LOAD_CONST               3 (1)
2022-11-23T01:30:20.3980413Z               70 BINARY_ADD
2022-11-23T01:30:20.3980505Z               72 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3980593Z               74 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3980680Z               76 BUILD_SLICE              2
2022-11-23T01:30:20.3980768Z               78 LOAD_CONST               1 (10)
2022-11-23T01:30:20.3980858Z               80 LOAD_CONST               0 (None)
2022-11-23T01:30:20.3980948Z               82 BUILD_SLICE              2
2022-11-23T01:30:20.3981021Z               84 LOAD_CONST               2 (0)
2022-11-23T01:30:20.3981110Z               86 BUILD_TUPLE              3
2022-11-23T01:30:20.3981189Z               88 BINARY_SUBSCR
2022-11-23T01:30:20.3981261Z               90 BINARY_ADD
2022-11-23T01:30:20.3981266Z 
2022-11-23T01:30:20.3981354Z 1674          92 BUILD_TUPLE              2
2022-11-23T01:30:20.3981431Z               94 RETURN_VALUE
2022-11-23T01:30:20.3981494Z  
2022-11-23T01:30:20.3981498Z 
2022-11-23T01:30:20.3981818Z [2022-11-23 01:27:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1675
2022-11-23T01:30:20.3982016Z [2022-11-23 01:27:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.3982262Z [2022-11-23 01:27:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:30:20.3982553Z [2022-11-23 01:27:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3982918Z [2022-11-23 01:27:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3983187Z [2022-11-23 01:27:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.3983498Z [2022-11-23 01:27:18,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3983846Z [2022-11-23 01:27:18,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.3984134Z [2022-11-23 01:27:18,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.3984492Z [2022-11-23 01:27:18,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3984769Z [2022-11-23 01:27:18,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.3985007Z [2022-11-23 01:27:18,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.3985261Z [2022-11-23 01:27:18,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3985576Z [2022-11-23 01:27:18,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3985937Z [2022-11-23 01:27:18,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3986232Z [2022-11-23 01:27:18,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.3986568Z [2022-11-23 01:27:18,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3986945Z [2022-11-23 01:27:18,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3987261Z [2022-11-23 01:27:18,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.3987615Z [2022-11-23 01:27:18,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3987915Z [2022-11-23 01:27:18,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.3988189Z [2022-11-23 01:27:18,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3988501Z [2022-11-23 01:27:18,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1676
2022-11-23T01:30:20.3988724Z [2022-11-23 01:27:18,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.3988990Z [2022-11-23 01:27:18,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3989299Z [2022-11-23 01:27:18,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3989568Z [2022-11-23 01:27:18,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3989925Z [2022-11-23 01:27:18,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3990283Z [2022-11-23 01:27:18,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3990579Z [2022-11-23 01:27:18,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.3990916Z [2022-11-23 01:27:18,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3991293Z [2022-11-23 01:27:18,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.3991634Z [2022-11-23 01:27:18,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.3991992Z [2022-11-23 01:27:18,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3992295Z [2022-11-23 01:27:18,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.3992545Z [2022-11-23 01:27:18,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3992839Z [2022-11-23 01:27:18,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3993171Z [2022-11-23 01:27:18,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3993471Z [2022-11-23 01:27:18,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3993887Z [2022-11-23 01:27:18,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3994279Z [2022-11-23 01:27:18,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3994596Z [2022-11-23 01:27:18,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.3994953Z [2022-11-23 01:27:18,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3995363Z [2022-11-23 01:27:18,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:20.3995708Z [2022-11-23 01:27:18,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.3996090Z [2022-11-23 01:27:18,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.3996417Z [2022-11-23 01:27:18,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.3996702Z [2022-11-23 01:27:18,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3997058Z [2022-11-23 01:27:18,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1674
2022-11-23T01:30:20.3997327Z [2022-11-23 01:27:18,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.3997569Z [2022-11-23 01:27:18,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3997949Z [2022-11-23 01:27:18,192] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16b9f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1673>
2022-11-23T01:30:20.3998191Z [2022-11-23 01:27:18,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.3998427Z [2022-11-23 01:27:18,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.3998712Z [2022-11-23 01:27:18,194] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.3998964Z [2022-11-23 01:27:18,203] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.3999153Z [2022-11-23 01:27:18,203] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.3999275Z  __compiled_fn_366 <eval_with_key>.3013 opcode, name, target, args, kwargs
2022-11-23T01:30:20.3999364Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.3999627Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:30:20.3999888Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:30:20.4000080Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:30:20.4000255Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4000521Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:30:20.4000696Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4000944Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:30:20.4001142Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:30:20.4001250Z output, output, output, ((add, add_3),), {}
2022-11-23T01:30:20.4001256Z 
2022-11-23T01:30:20.4001581Z [2022-11-23 01:27:18,204] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4001676Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4001769Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4001858Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4001956Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4002029Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4002119Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4002198Z              12 RETURN_VALUE
2022-11-23T01:30:20.4002203Z 
2022-11-23T01:30:20.4002266Z  
2022-11-23T01:30:20.4002585Z [2022-11-23 01:27:18,204] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4002693Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_366)
2022-11-23T01:30:20.4002784Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4002874Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4002940Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4003028Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4003132Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4003236Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4003329Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4003406Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4003536Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4003613Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4003689Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4003778Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.4003853Z              26 RETURN_VALUE
2022-11-23T01:30:20.4003859Z 
2022-11-23T01:30:20.4003922Z  
2022-11-23T01:30:20.4004104Z [2022-11-23 01:27:18,205] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4004175Z  - 
2022-11-23T01:30:20.4004280Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4004348Z             {
2022-11-23T01:30:20.4004492Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4004680Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4004829Z                 'obj_weakref': None
2022-11-23T01:30:20.4005056Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4005125Z             }
2022-11-23T01:30:20.4005176Z             
2022-11-23T01:30:20.4005247Z  - 
2022-11-23T01:30:20.4005373Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4005437Z             {
2022-11-23T01:30:20.4005581Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4005689Z                 'code': None,
2022-11-23T01:30:20.4005903Z                 'obj_weakref': <weakref at 0x7ff58f9ea4d0; to 'Tensor' at 0x7ff58f9aa520>
2022-11-23T01:30:20.4006145Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4006210Z             }
2022-11-23T01:30:20.4006274Z             
2022-11-23T01:30:20.4006343Z  - 
2022-11-23T01:30:20.4006474Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4006541Z             {
2022-11-23T01:30:20.4006677Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4006834Z                 'code': ['___check_obj_id(model, 140693062686256)'],
2022-11-23T01:30:20.4006956Z                 'obj_weakref': None
2022-11-23T01:30:20.4007188Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4007254Z             }
2022-11-23T01:30:20.4007318Z             
2022-11-23T01:30:20.4007388Z  - 
2022-11-23T01:30:20.4007511Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4007561Z             {
2022-11-23T01:30:20.4007701Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4007919Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4008037Z                 'obj_weakref': None
2022-11-23T01:30:20.4008257Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4008323Z             }
2022-11-23T01:30:20.4008388Z             
2022-11-23T01:30:20.4008637Z [2022-11-23 01:27:18,220] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 359
2022-11-23T01:30:20.4009006Z [2022-11-23 01:27:19,677] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l4/cl4i7n5ezojz5sehr3pxyv7rg6jbhqhlijtp3y7qxnl5pxqlbrdh.py
2022-11-23T01:30:20.4009272Z [2022-11-23 01:27:19,678] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 359
2022-11-23T01:30:20.4009279Z 
2022-11-23T01:30:20.4009373Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4009443Z import torch
2022-11-23T01:30:20.4009513Z import random
2022-11-23T01:30:20.4009628Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4009748Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4009753Z 
2022-11-23T01:30:20.4009832Z aten = torch.ops.aten
2022-11-23T01:30:20.4009951Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4010047Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4010052Z 
2022-11-23T01:30:20.4010057Z 
2022-11-23T01:30:20.4010217Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4010427Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4010547Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4010646Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4010741Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.4010804Z {
2022-11-23T01:30:20.4010889Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4010951Z     {
2022-11-23T01:30:20.4011045Z         #pragma omp for  collapse(2)
2022-11-23T01:30:20.4011127Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.4011191Z         {
2022-11-23T01:30:20.4011278Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.4011328Z             {
2022-11-23T01:30:20.4011422Z                 {
2022-11-23T01:30:20.4011491Z                     {
2022-11-23T01:30:20.4011595Z                         auto tmp0 = in_ptr0[(2*i1) + (40*i0)];
2022-11-23T01:30:20.4011704Z                         auto tmp1 = in_ptr0[20 + (2*i1) + (40*i0)];
2022-11-23T01:30:20.4011799Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4011905Z                         auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:20.4011986Z                         auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:20.4012077Z                         auto tmp5 = tmp1 + tmp3;
2022-11-23T01:30:20.4012168Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.4012266Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.4012361Z                         out_ptr1[i1 + (10*i0)] = tmp6;
2022-11-23T01:30:20.4012429Z                     }
2022-11-23T01:30:20.4012495Z                 }
2022-11-23T01:30:20.4012546Z             }
2022-11-23T01:30:20.4012609Z         }
2022-11-23T01:30:20.4012673Z     }
2022-11-23T01:30:20.4012733Z }
2022-11-23T01:30:20.4012813Z ''')
2022-11-23T01:30:20.4012818Z 
2022-11-23T01:30:20.4012823Z 
2022-11-23T01:30:20.4012916Z async_compile.wait(globals())
2022-11-23T01:30:20.4012988Z del async_compile
2022-11-23T01:30:20.4012992Z 
2022-11-23T01:30:20.4013063Z def call(args):
2022-11-23T01:30:20.4013121Z     arg0_1, = args
2022-11-23T01:30:20.4013193Z     args.clear()
2022-11-23T01:30:20.4013391Z     buf0 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4013587Z     buf1 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4013755Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.4013825Z     del arg0_1
2022-11-23T01:30:20.4013903Z     return (buf0, buf1, )
2022-11-23T01:30:20.4013908Z 
2022-11-23T01:30:20.4013912Z 
2022-11-23T01:30:20.4013975Z if __name__ == "__main__":
2022-11-23T01:30:20.4014094Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4014218Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4014427Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4014535Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4014539Z 
2022-11-23T01:30:20.4014605Z ok (1.504s)
2022-11-23T01:30:20.4014909Z   test_slice2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:19,684] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4015229Z [2022-11-23 01:27:19,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4015445Z [2022-11-23 01:27:19,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4015683Z [2022-11-23 01:27:19,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4015961Z [2022-11-23 01:27:19,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4016310Z [2022-11-23 01:27:19,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4016787Z [2022-11-23 01:27:19,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4017113Z [2022-11-23 01:27:19,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4017487Z [2022-11-23 01:27:19,686] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16bc00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685> 
2022-11-23T01:30:20.4017581Z  1687           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4017724Z                2 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4017863Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4017939Z                6 BUILD_SLICE              2
2022-11-23T01:30:20.4018034Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4018125Z               10 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4018215Z               12 LOAD_CONST               2 (2)
2022-11-23T01:30:20.4018304Z               14 BUILD_SLICE              3
2022-11-23T01:30:20.4018445Z               16 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4018533Z               18 BUILD_TUPLE              3
2022-11-23T01:30:20.4018598Z               20 BINARY_SUBSCR
2022-11-23T01:30:20.4018689Z               22 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4018823Z               24 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4018915Z               26 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4019002Z               28 BUILD_SLICE              2
2022-11-23T01:30:20.4019093Z               30 LOAD_CONST               3 (1)
2022-11-23T01:30:20.4019184Z               32 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4019261Z               34 LOAD_CONST               2 (2)
2022-11-23T01:30:20.4019351Z               36 BUILD_SLICE              3
2022-11-23T01:30:20.4019486Z               38 LOAD_CONST               4 (-2)
2022-11-23T01:30:20.4019572Z               40 BUILD_TUPLE              3
2022-11-23T01:30:20.4019650Z               42 BINARY_SUBSCR
2022-11-23T01:30:20.4019724Z               44 BINARY_ADD
2022-11-23T01:30:20.4019729Z 
2022-11-23T01:30:20.4019819Z 1688          46 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4019910Z               48 LOAD_CONST               3 (1)
2022-11-23T01:30:20.4019970Z               50 BINARY_ADD
2022-11-23T01:30:20.4020062Z               52 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4020198Z               54 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4020286Z               56 BUILD_SLICE              2
2022-11-23T01:30:20.4020377Z               58 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4020464Z               60 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4020555Z               62 LOAD_CONST               2 (2)
2022-11-23T01:30:20.4020627Z               64 BUILD_SLICE              3
2022-11-23T01:30:20.4020764Z               66 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4020851Z               68 BUILD_TUPLE              3
2022-11-23T01:30:20.4020930Z               70 BINARY_SUBSCR
2022-11-23T01:30:20.4021017Z               72 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4021103Z               74 LOAD_CONST               2 (2)
2022-11-23T01:30:20.4021178Z               76 BINARY_ADD
2022-11-23T01:30:20.4021298Z               78 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4021389Z               80 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4021476Z               82 BUILD_SLICE              2
2022-11-23T01:30:20.4021567Z               84 LOAD_CONST               3 (1)
2022-11-23T01:30:20.4021658Z               86 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4021745Z               88 LOAD_CONST               2 (2)
2022-11-23T01:30:20.4021869Z               90 BUILD_SLICE              3
2022-11-23T01:30:20.4021993Z               92 LOAD_CONST               4 (-2)
2022-11-23T01:30:20.4022080Z               94 BUILD_TUPLE              3
2022-11-23T01:30:20.4022162Z               96 BINARY_SUBSCR
2022-11-23T01:30:20.4022233Z               98 BINARY_ADD
2022-11-23T01:30:20.4022239Z 
2022-11-23T01:30:20.4022323Z 1686         100 BUILD_TUPLE              2
2022-11-23T01:30:20.4022397Z              102 RETURN_VALUE
2022-11-23T01:30:20.4022457Z  
2022-11-23T01:30:20.4022462Z 
2022-11-23T01:30:20.4022769Z [2022-11-23 01:27:19,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1687
2022-11-23T01:30:20.4022977Z [2022-11-23 01:27:19,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4023255Z [2022-11-23 01:27:19,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:30:20.4023544Z [2022-11-23 01:27:19,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4023865Z [2022-11-23 01:27:19,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.4024134Z [2022-11-23 01:27:19,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4024448Z [2022-11-23 01:27:19,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4024800Z [2022-11-23 01:27:19,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4025203Z [2022-11-23 01:27:19,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.4025494Z [2022-11-23 01:27:19,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4025822Z [2022-11-23 01:27:19,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4026087Z [2022-11-23 01:27:19,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4026320Z [2022-11-23 01:27:19,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.4026585Z [2022-11-23 01:27:19,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4026895Z [2022-11-23 01:27:19,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4027244Z [2022-11-23 01:27:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4027530Z [2022-11-23 01:27:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4027859Z [2022-11-23 01:27:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4028232Z [2022-11-23 01:27:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4028674Z [2022-11-23 01:27:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.4028998Z [2022-11-23 01:27:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4029354Z [2022-11-23 01:27:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4029642Z [2022-11-23 01:27:19,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4029916Z [2022-11-23 01:27:19,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4030230Z [2022-11-23 01:27:19,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1688
2022-11-23T01:30:20.4030497Z [2022-11-23 01:27:19,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.4030760Z [2022-11-23 01:27:19,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4031068Z [2022-11-23 01:27:19,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4031338Z [2022-11-23 01:27:19,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4031654Z [2022-11-23 01:27:19,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4032004Z [2022-11-23 01:27:19,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.4032302Z [2022-11-23 01:27:19,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4032641Z [2022-11-23 01:27:19,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4033010Z [2022-11-23 01:27:19,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4033435Z [2022-11-23 01:27:19,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.4033753Z [2022-11-23 01:27:19,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4034190Z [2022-11-23 01:27:19,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4034490Z [2022-11-23 01:27:19,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4034755Z [2022-11-23 01:27:19,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4035047Z [2022-11-23 01:27:19,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4035384Z [2022-11-23 01:27:19,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4035681Z [2022-11-23 01:27:19,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4036064Z [2022-11-23 01:27:19,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4036439Z [2022-11-23 01:27:19,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4036762Z [2022-11-23 01:27:19,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4037106Z [2022-11-23 01:27:19,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4037510Z [2022-11-23 01:27:19,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4037984Z [2022-11-23 01:27:19,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.4038331Z [2022-11-23 01:27:19,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4038710Z [2022-11-23 01:27:19,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4039037Z [2022-11-23 01:27:19,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4039337Z [2022-11-23 01:27:19,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4039655Z [2022-11-23 01:27:19,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1686
2022-11-23T01:30:20.4039923Z [2022-11-23 01:27:19,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4040168Z [2022-11-23 01:27:19,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4040549Z [2022-11-23 01:27:19,706] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16bc00, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1685>
2022-11-23T01:30:20.4040793Z [2022-11-23 01:27:19,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4041031Z [2022-11-23 01:27:19,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4041274Z [2022-11-23 01:27:19,708] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4041524Z [2022-11-23 01:27:19,721] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4041711Z [2022-11-23 01:27:19,721] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4041845Z  __compiled_fn_367 <eval_with_key>.3019 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4041939Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4042199Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:30:20.4042453Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:30:20.4042646Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:30:20.4042805Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4043094Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:30:20.4043267Z call_function, add_2, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:30:20.4043518Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:30:20.4043717Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:30:20.4043822Z output, output, output, ((add, add_3),), {}
2022-11-23T01:30:20.4043828Z 
2022-11-23T01:30:20.4044155Z [2022-11-23 01:27:19,722] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4044251Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4044373Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4044447Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4044537Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4044625Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4044714Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4044789Z              12 RETURN_VALUE
2022-11-23T01:30:20.4044794Z 
2022-11-23T01:30:20.4044857Z  
2022-11-23T01:30:20.4045179Z [2022-11-23 01:27:19,722] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4045275Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_367)
2022-11-23T01:30:20.4045362Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4045449Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4045524Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4045611Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4045715Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4045814Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4045892Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4045967Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4046064Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4046151Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4046226Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4046312Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.4046385Z              26 RETURN_VALUE
2022-11-23T01:30:20.4046389Z 
2022-11-23T01:30:20.4046449Z  
2022-11-23T01:30:20.4046618Z [2022-11-23 01:27:19,723] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4046686Z  - 
2022-11-23T01:30:20.4046803Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4046866Z             {
2022-11-23T01:30:20.4047006Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4047193Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4047311Z                 'obj_weakref': None
2022-11-23T01:30:20.4047526Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4047590Z             }
2022-11-23T01:30:20.4047654Z             
2022-11-23T01:30:20.4047722Z  - 
2022-11-23T01:30:20.4047844Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4047905Z             {
2022-11-23T01:30:20.4048045Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4048139Z                 'code': None,
2022-11-23T01:30:20.4048350Z                 'obj_weakref': <weakref at 0x7ff58f9df740; to 'Tensor' at 0x7ff59c046a70>
2022-11-23T01:30:20.4048602Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4048664Z             }
2022-11-23T01:30:20.4048729Z             
2022-11-23T01:30:20.4048798Z  - 
2022-11-23T01:30:20.4048926Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4048976Z             {
2022-11-23T01:30:20.4049139Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4049309Z                 'code': ['___check_obj_id(model, 140692656239328)'],
2022-11-23T01:30:20.4049428Z                 'obj_weakref': None
2022-11-23T01:30:20.4049655Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4049717Z             }
2022-11-23T01:30:20.4049778Z             
2022-11-23T01:30:20.4049834Z  - 
2022-11-23T01:30:20.4049954Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4050015Z             {
2022-11-23T01:30:20.4050150Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4050363Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4050482Z                 'obj_weakref': None
2022-11-23T01:30:20.4050726Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4050777Z             }
2022-11-23T01:30:20.4050836Z             
2022-11-23T01:30:20.4051100Z [2022-11-23 01:27:19,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 360
2022-11-23T01:30:20.4051469Z [2022-11-23 01:27:21,193] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mt/cmtneb2t5zu2yuv4yp3xfpkrpih5zkz6zwfkvscprm5jqjvoxrev.py
2022-11-23T01:30:20.4051729Z [2022-11-23 01:27:21,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 360
2022-11-23T01:30:20.4051736Z 
2022-11-23T01:30:20.4051829Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4051897Z import torch
2022-11-23T01:30:20.4051964Z import random
2022-11-23T01:30:20.4052066Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4052185Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4052192Z 
2022-11-23T01:30:20.4052269Z aten = torch.ops.aten
2022-11-23T01:30:20.4052402Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4052495Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4052500Z 
2022-11-23T01:30:20.4052504Z 
2022-11-23T01:30:20.4052634Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4052837Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4052955Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4053041Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4053135Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.4053195Z {
2022-11-23T01:30:20.4053293Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4053353Z     {
2022-11-23T01:30:20.4053429Z         #pragma omp for 
2022-11-23T01:30:20.4053510Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.4053561Z         {
2022-11-23T01:30:20.4053626Z             {
2022-11-23T01:30:20.4053689Z                 {
2022-11-23T01:30:20.4053784Z                     auto tmp0 = in_ptr0[1 + (4*i0)];
2022-11-23T01:30:20.4053882Z                     auto tmp1 = in_ptr0[42 + (4*i0)];
2022-11-23T01:30:20.4053971Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4054072Z                     auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:20.4054151Z                     auto tmp4 = tmp0 + tmp3;
2022-11-23T01:30:20.4054251Z                     auto tmp5 = static_cast<float>(2);
2022-11-23T01:30:20.4054341Z                     auto tmp6 = tmp1 + tmp5;
2022-11-23T01:30:20.4054428Z                     auto tmp7 = tmp4 + tmp6;
2022-11-23T01:30:20.4054511Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.4054592Z                     out_ptr1[i0] = tmp7;
2022-11-23T01:30:20.4054655Z                 }
2022-11-23T01:30:20.4054705Z             }
2022-11-23T01:30:20.4054766Z         }
2022-11-23T01:30:20.4054830Z     }
2022-11-23T01:30:20.4054889Z }
2022-11-23T01:30:20.4054966Z ''')
2022-11-23T01:30:20.4054971Z 
2022-11-23T01:30:20.4054975Z 
2022-11-23T01:30:20.4055063Z async_compile.wait(globals())
2022-11-23T01:30:20.4055163Z del async_compile
2022-11-23T01:30:20.4055168Z 
2022-11-23T01:30:20.4055227Z def call(args):
2022-11-23T01:30:20.4055294Z     arg0_1, = args
2022-11-23T01:30:20.4055364Z     args.clear()
2022-11-23T01:30:20.4055562Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4055758Z     buf1 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4055921Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.4055988Z     del arg0_1
2022-11-23T01:30:20.4056051Z     return (buf0, buf1, )
2022-11-23T01:30:20.4056056Z 
2022-11-23T01:30:20.4056072Z 
2022-11-23T01:30:20.4056134Z if __name__ == "__main__":
2022-11-23T01:30:20.4056247Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4056399Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4056711Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4056817Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4056822Z 
2022-11-23T01:30:20.4056889Z ok (1.515s)
2022-11-23T01:30:20.4057204Z   test_slice_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:21,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4057522Z [2022-11-23 01:27:21,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4057728Z [2022-11-23 01:27:21,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4057981Z [2022-11-23 01:27:21,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4058257Z [2022-11-23 01:27:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4058582Z [2022-11-23 01:27:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4058926Z [2022-11-23 01:27:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4059248Z [2022-11-23 01:27:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4059623Z [2022-11-23 01:27:21,199] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e24a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290> 
2022-11-23T01:30:20.4059718Z  3291           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4059818Z                2 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:30:20.4059900Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4059987Z                6 CALL_METHOD              1
2022-11-23T01:30:20.4060078Z                8 STORE_FAST               1 (x)
2022-11-23T01:30:20.4060083Z 
2022-11-23T01:30:20.4060171Z 3292          10 LOAD_FAST                1 (x)
2022-11-23T01:30:20.4060258Z               12 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4060331Z               14 BINARY_ADD
2022-11-23T01:30:20.4060417Z               16 STORE_FAST               2 (b)
2022-11-23T01:30:20.4060421Z 
2022-11-23T01:30:20.4060509Z 3293          18 LOAD_CONST               2 (3.0)
2022-11-23T01:30:20.4060585Z               20 LOAD_FAST                1 (x)
2022-11-23T01:30:20.4060677Z               22 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4060764Z               24 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4060852Z               26 BUILD_SLICE              2
2022-11-23T01:30:20.4060941Z               28 LOAD_CONST               3 (3)
2022-11-23T01:30:20.4061028Z               30 BUILD_TUPLE              2
2022-11-23T01:30:20.4061102Z               32 STORE_SUBSCR
2022-11-23T01:30:20.4061155Z 
2022-11-23T01:30:20.4061237Z 3294          34 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4061326Z               36 LOAD_METHOD              2 (clone)
2022-11-23T01:30:20.4061412Z               38 LOAD_FAST                1 (x)
2022-11-23T01:30:20.4061497Z               40 CALL_METHOD              1
2022-11-23T01:30:20.4061584Z               42 STORE_FAST               3 (c)
2022-11-23T01:30:20.4061588Z 
2022-11-23T01:30:20.4061677Z 3295          44 LOAD_CONST               4 (4.0)
2022-11-23T01:30:20.4061764Z               46 LOAD_FAST                1 (x)
2022-11-23T01:30:20.4061850Z               48 LOAD_CONST               5 (4)
2022-11-23T01:30:20.4061927Z               50 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4062014Z               52 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4062160Z               54 BUILD_SLICE              2
2022-11-23T01:30:20.4062245Z               56 BUILD_TUPLE              2
2022-11-23T01:30:20.4062319Z               58 STORE_SUBSCR
2022-11-23T01:30:20.4062324Z 
2022-11-23T01:30:20.4062409Z 3296          60 LOAD_FAST                1 (x)
2022-11-23T01:30:20.4062495Z               62 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4062554Z               64 BINARY_ADD
2022-11-23T01:30:20.4062639Z               66 STORE_FAST               4 (d)
2022-11-23T01:30:20.4062643Z 
2022-11-23T01:30:20.4062726Z 3297          68 LOAD_FAST                1 (x)
2022-11-23T01:30:20.4062809Z               70 LOAD_FAST                2 (b)
2022-11-23T01:30:20.4062893Z               72 LOAD_FAST                3 (c)
2022-11-23T01:30:20.4062977Z               74 LOAD_FAST                4 (d)
2022-11-23T01:30:20.4063064Z               76 BUILD_TUPLE              4
2022-11-23T01:30:20.4063138Z               78 RETURN_VALUE
2022-11-23T01:30:20.4063189Z  
2022-11-23T01:30:20.4063194Z 
2022-11-23T01:30:20.4063513Z [2022-11-23 01:27:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3291
2022-11-23T01:30:20.4063732Z [2022-11-23 01:27:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4064106Z [2022-11-23 01:27:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4064435Z [2022-11-23 01:27:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4064792Z [2022-11-23 01:27:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4065027Z [2022-11-23 01:27:21,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:30:20.4065340Z [2022-11-23 01:27:21,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3292
2022-11-23T01:30:20.4065548Z [2022-11-23 01:27:21,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.4065783Z [2022-11-23 01:27:21,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.4066049Z [2022-11-23 01:27:21,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4066281Z [2022-11-23 01:27:21,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:30:20.4066591Z [2022-11-23 01:27:21,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3293
2022-11-23T01:30:20.4066802Z [2022-11-23 01:27:21,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 []
2022-11-23T01:30:20.4067078Z [2022-11-23 01:27:21,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:30:20.4067362Z [2022-11-23 01:27:21,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.4067685Z [2022-11-23 01:27:21,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4068056Z [2022-11-23 01:27:21,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4068354Z [2022-11-23 01:27:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ConstantVariable(float), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4068693Z [2022-11-23 01:27:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4069035Z [2022-11-23 01:27:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4069330Z [2022-11-23 01:27:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3294
2022-11-23T01:30:20.4069546Z [2022-11-23 01:27:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4069911Z [2022-11-23 01:27:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4070228Z [2022-11-23 01:27:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clone of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4070580Z [2022-11-23 01:27:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method clone of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4070816Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:30:20.4071124Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3295
2022-11-23T01:30:20.4071337Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4.0 []
2022-11-23T01:30:20.4071581Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:30:20.4071857Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.4072160Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4072527Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4072931Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4073269Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), SliceVariable()]
2022-11-23T01:30:20.4073578Z [2022-11-23 01:27:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4074170Z [2022-11-23 01:27:21,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3296
2022-11-23T01:30:20.4074387Z [2022-11-23 01:27:21,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.4074660Z [2022-11-23 01:27:21,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.4074941Z [2022-11-23 01:27:21,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4075174Z [2022-11-23 01:27:21,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:30:20.4075485Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3297
2022-11-23T01:30:20.4075679Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.4075914Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.4076204Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4076499Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4076823Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4077068Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4077446Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e24a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3290>
2022-11-23T01:30:20.4077690Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4077923Z [2022-11-23 01:27:21,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4078181Z [2022-11-23 01:27:21,207] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4078415Z [2022-11-23 01:27:21,213] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4078600Z [2022-11-23 01:27:21,213] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4078732Z  __compiled_fn_368 <eval_with_key>.3025 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4078820Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4079064Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.4079245Z call_function, add, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:30:20.4079483Z call_function, setitem, <built-in function setitem>, (zeros_like, (slice(None, None, None), 3), 3.0), {}
2022-11-23T01:30:20.4079720Z call_function, clone, <built-in method clone of type object at 0x7ff5d7c59c60>, (zeros_like,), {}
2022-11-23T01:30:20.4079953Z call_function, setitem_1, <built-in function setitem>, (zeros_like, (4, slice(None, None, None)), 4.0), {}
2022-11-23T01:30:20.4080133Z call_function, add_1, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:30:20.4080255Z output, output, output, ((zeros_like, add, clone, add_1),), {}
2022-11-23T01:30:20.4080261Z 
2022-11-23T01:30:20.4080585Z [2022-11-23 01:27:21,214] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4080677Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4080767Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4080853Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4080944Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4081018Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4081105Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4081180Z              12 RETURN_VALUE
2022-11-23T01:30:20.4081186Z 
2022-11-23T01:30:20.4081291Z  
2022-11-23T01:30:20.4081613Z [2022-11-23 01:27:21,214] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4081723Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_368)
2022-11-23T01:30:20.4081814Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4081906Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4081969Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4082057Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4082162Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4082265Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4082355Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4082458Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4082559Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4082636Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4082713Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4082814Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4082904Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4082980Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4083082Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4083169Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.4083231Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.4083323Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.4083399Z              38 RETURN_VALUE
2022-11-23T01:30:20.4083404Z 
2022-11-23T01:30:20.4083467Z  
2022-11-23T01:30:20.4083650Z [2022-11-23 01:27:21,215] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4083726Z  - 
2022-11-23T01:30:20.4083846Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4083900Z             {
2022-11-23T01:30:20.4084044Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4084234Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4084356Z                 'obj_weakref': None
2022-11-23T01:30:20.4084583Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4084650Z             }
2022-11-23T01:30:20.4084714Z             
2022-11-23T01:30:20.4084771Z  - 
2022-11-23T01:30:20.4084895Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4084959Z             {
2022-11-23T01:30:20.4085102Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4085210Z                 'code': None,
2022-11-23T01:30:20.4085426Z                 'obj_weakref': <weakref at 0x7ff58f999df0; to 'Tensor' at 0x7ff58f9aa520>
2022-11-23T01:30:20.4085681Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4085749Z             }
2022-11-23T01:30:20.4085801Z             
2022-11-23T01:30:20.4085872Z  - 
2022-11-23T01:30:20.4086003Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4086069Z             {
2022-11-23T01:30:20.4086204Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4086374Z                 'code': ['___check_obj_id(model, 140692656237600)'],
2022-11-23T01:30:20.4086479Z                 'obj_weakref': None
2022-11-23T01:30:20.4086711Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4086775Z             }
2022-11-23T01:30:20.4086840Z             
2022-11-23T01:30:20.4086913Z  - 
2022-11-23T01:30:20.4087031Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4087096Z             {
2022-11-23T01:30:20.4087219Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4087440Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4087588Z                 'obj_weakref': None
2022-11-23T01:30:20.4087811Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4087874Z             }
2022-11-23T01:30:20.4087936Z             
2022-11-23T01:30:20.4088008Z  - 
2022-11-23T01:30:20.4088126Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4088190Z             {
2022-11-23T01:30:20.4088308Z                 'guard_types': None,
2022-11-23T01:30:20.4088416Z                 'code': None,
2022-11-23T01:30:20.4088532Z                 'obj_weakref': None
2022-11-23T01:30:20.4088650Z                 'guarded_class': None
2022-11-23T01:30:20.4088712Z             }
2022-11-23T01:30:20.4088763Z             
2022-11-23T01:30:20.4089023Z [2022-11-23 01:27:21,227] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 361
2022-11-23T01:30:20.4089426Z [2022-11-23 01:27:22,714] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2fiqwvhamvkghr7ox6qc7azg5aleps5pkycbqf4hwuxnz2trih.py
2022-11-23T01:30:20.4089688Z [2022-11-23 01:27:22,715] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 361
2022-11-23T01:30:20.4089693Z 
2022-11-23T01:30:20.4089785Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4089853Z import torch
2022-11-23T01:30:20.4089921Z import random
2022-11-23T01:30:20.4090034Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4090141Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4090146Z 
2022-11-23T01:30:20.4090223Z aten = torch.ops.aten
2022-11-23T01:30:20.4090354Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4090445Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4090450Z 
2022-11-23T01:30:20.4090455Z 
2022-11-23T01:30:20.4090588Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4090791Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4090905Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4091001Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.4091083Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.4091175Z                        float* __restrict__ out_ptr3)
2022-11-23T01:30:20.4091235Z {
2022-11-23T01:30:20.4091332Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4091392Z     {
2022-11-23T01:30:20.4091466Z         #pragma omp for 
2022-11-23T01:30:20.4091546Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4091596Z         {
2022-11-23T01:30:20.4091736Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:30:20.4091867Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.4091954Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4092045Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4092132Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.4092195Z         }
2022-11-23T01:30:20.4092275Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4092357Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.4092419Z         {
2022-11-23T01:30:20.4092516Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:30:20.4092613Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.4092695Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4092774Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.4092839Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:20.4092899Z         }
2022-11-23T01:30:20.4092977Z         #pragma omp for 
2022-11-23T01:30:20.4093058Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4093119Z         {
2022-11-23T01:30:20.4093181Z             {
2022-11-23T01:30:20.4093244Z                 {
2022-11-23T01:30:20.4093338Z                     auto tmp0 = static_cast<float>(3.0);
2022-11-23T01:30:20.4093430Z                     out_ptr0[3 + (8*i0)] = tmp0;
2022-11-23T01:30:20.4093522Z                 }
2022-11-23T01:30:20.4093586Z             }
2022-11-23T01:30:20.4093648Z         }
2022-11-23T01:30:20.4093725Z         #pragma omp for 
2022-11-23T01:30:20.4093805Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4093853Z         {
2022-11-23T01:30:20.4093984Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4094073Z             tmp0.store(out_ptr2 + 8*i0);
2022-11-23T01:30:20.4094134Z         }
2022-11-23T01:30:20.4094225Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4094305Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.4094366Z         {
2022-11-23T01:30:20.4094436Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:30:20.4094513Z             out_ptr2[i0] = tmp0;
2022-11-23T01:30:20.4094573Z         }
2022-11-23T01:30:20.4094677Z         #pragma omp for 
2022-11-23T01:30:20.4094755Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.4094815Z         {
2022-11-23T01:30:20.4094938Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(4.0));
2022-11-23T01:30:20.4095035Z             tmp0.store(out_ptr0 + 32 + (8*i0));
2022-11-23T01:30:20.4095095Z         }
2022-11-23T01:30:20.4095187Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4095265Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:20.4095325Z         {
2022-11-23T01:30:20.4095424Z             auto tmp0 = static_cast<float>(4.0);
2022-11-23T01:30:20.4095493Z             out_ptr0[32 + i0] = tmp0;
2022-11-23T01:30:20.4095554Z         }
2022-11-23T01:30:20.4095628Z         #pragma omp for 
2022-11-23T01:30:20.4095706Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4095766Z         {
2022-11-23T01:30:20.4095895Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4096026Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.4096110Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4096186Z             tmp2.store(out_ptr3 + 8*i0);
2022-11-23T01:30:20.4096248Z         }
2022-11-23T01:30:20.4096340Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4096560Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.4096621Z         {
2022-11-23T01:30:20.4096703Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:30:20.4096788Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.4096871Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4096950Z             out_ptr3[i0] = tmp2;
2022-11-23T01:30:20.4097013Z         }
2022-11-23T01:30:20.4097074Z     }
2022-11-23T01:30:20.4097134Z }
2022-11-23T01:30:20.4097216Z ''')
2022-11-23T01:30:20.4097221Z 
2022-11-23T01:30:20.4097226Z 
2022-11-23T01:30:20.4097304Z async_compile.wait(globals())
2022-11-23T01:30:20.4097375Z del async_compile
2022-11-23T01:30:20.4097383Z 
2022-11-23T01:30:20.4097454Z def call(args):
2022-11-23T01:30:20.4097524Z     arg0_1, = args
2022-11-23T01:30:20.4097595Z     args.clear()
2022-11-23T01:30:20.4097792Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4097982Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4098170Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4098345Z     buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4098531Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:30:20.4098619Z     return (buf0, buf1, buf3, buf5, )
2022-11-23T01:30:20.4098624Z 
2022-11-23T01:30:20.4098628Z 
2022-11-23T01:30:20.4098702Z if __name__ == "__main__":
2022-11-23T01:30:20.4098815Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4098935Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4099128Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4099282Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4099288Z 
2022-11-23T01:30:20.4099342Z ok (1.522s)
2022-11-23T01:30:20.4099660Z   test_slice_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:22,719] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:20.4099978Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3304
2022-11-23T01:30:20.4100188Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4100436Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:30:20.4100727Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4101093Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4101358Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4101657Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4101995Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4102272Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4102545Z [2022-11-23 01:27:22,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4102783Z [2022-11-23 01:27:22,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.4103063Z [2022-11-23 01:27:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4103299Z [2022-11-23 01:27:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.4103566Z [2022-11-23 01:27:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4103877Z [2022-11-23 01:27:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4104234Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4104526Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4104854Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4105221Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4105525Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4105823Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4106131Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3305
2022-11-23T01:30:20.4106378Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4106620Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:30:20.4106905Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4107230Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4107489Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4107787Z [2022-11-23 01:27:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4108149Z [2022-11-23 01:27:22,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4108427Z [2022-11-23 01:27:22,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4108701Z [2022-11-23 01:27:22,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4108942Z [2022-11-23 01:27:22,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.4109217Z [2022-11-23 01:27:22,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4109452Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.4109719Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4110036Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4110393Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4110681Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4111003Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 11 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4111365Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4111670Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4111968Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4112183Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None []
2022-11-23T01:30:20.4112442Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(NoneType)]
2022-11-23T01:30:20.4112672Z [2022-11-23 01:27:22,726] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:20.4112911Z [2022-11-23 01:27:22,728] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.4113205Z [2022-11-23 01:27:22,733] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:30:20.4113468Z [2022-11-23 01:27:22,733] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:30:20.4113728Z [2022-11-23 01:27:22,733] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.4113982Z [2022-11-23 01:27:22,733] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4114104Z  __compiled_fn_369 <eval_with_key>.3028 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4114188Z placeholder, a, a, (), {}
2022-11-23T01:30:20.4114438Z call_function, getitem, <built-in function getitem>, (a, (slice(None, None, None), slice(20, 40, None))), {}
2022-11-23T01:30:20.4114614Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:30:20.4114871Z call_function, setitem, <built-in function setitem>, (a, (slice(None, None, None), slice(20, 40, None)), add), {}
2022-11-23T01:30:20.4115117Z call_function, getitem_1, <built-in function getitem>, (a, (slice(None, None, None), slice(1, 10, None))), {}
2022-11-23T01:30:20.4115328Z call_function, add_1, <built-in function add>, (getitem_1, 2), {}
2022-11-23T01:30:20.4115584Z call_function, setitem_1, <built-in function setitem>, (a, (slice(None, None, None), slice(2, 11, None)), add_1), {}
2022-11-23T01:30:20.4115662Z output, output, output, ((),), {}
2022-11-23T01:30:20.4115668Z 
2022-11-23T01:30:20.4115991Z [2022-11-23 01:27:22,734] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 
2022-11-23T01:30:20.4116083Z 3304           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4116178Z                2 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4116269Z                4 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4116356Z                6 BUILD_SLICE              2
2022-11-23T01:30:20.4116446Z                8 LOAD_CONST               1 (20)
2022-11-23T01:30:20.4116533Z               10 LOAD_CONST               2 (40)
2022-11-23T01:30:20.4116609Z               12 BUILD_SLICE              2
2022-11-23T01:30:20.4116698Z               14 BUILD_TUPLE              2
2022-11-23T01:30:20.4116779Z               16 BINARY_SUBSCR
2022-11-23T01:30:20.4116867Z               18 LOAD_CONST               3 (1)
2022-11-23T01:30:20.4116939Z               20 BINARY_ADD
2022-11-23T01:30:20.4117029Z               22 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4117119Z               24 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4117195Z               26 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4117280Z               28 BUILD_SLICE              2
2022-11-23T01:30:20.4117369Z               30 LOAD_CONST               1 (20)
2022-11-23T01:30:20.4117456Z               32 LOAD_CONST               2 (40)
2022-11-23T01:30:20.4117540Z               34 BUILD_SLICE              2
2022-11-23T01:30:20.4117626Z               36 BUILD_TUPLE              2
2022-11-23T01:30:20.4117701Z               38 STORE_SUBSCR
2022-11-23T01:30:20.4117706Z 
2022-11-23T01:30:20.4117782Z 3305          40 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4117872Z               42 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4117959Z               44 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4118043Z               46 BUILD_SLICE              2
2022-11-23T01:30:20.4118130Z               48 LOAD_CONST               3 (1)
2022-11-23T01:30:20.4118216Z               50 LOAD_CONST               4 (10)
2022-11-23T01:30:20.4118300Z               52 BUILD_SLICE              2
2022-11-23T01:30:20.4118373Z               54 BUILD_TUPLE              2
2022-11-23T01:30:20.4118448Z               56 BINARY_SUBSCR
2022-11-23T01:30:20.4118534Z               58 LOAD_CONST               5 (2)
2022-11-23T01:30:20.4118609Z               60 BINARY_ADD
2022-11-23T01:30:20.4118694Z               62 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4118782Z               64 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4118871Z               66 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4118956Z               68 BUILD_SLICE              2
2022-11-23T01:30:20.4119057Z               70 LOAD_CONST               5 (2)
2022-11-23T01:30:20.4119146Z               72 LOAD_CONST               6 (11)
2022-11-23T01:30:20.4119231Z               74 BUILD_SLICE              2
2022-11-23T01:30:20.4119315Z               76 BUILD_TUPLE              2
2022-11-23T01:30:20.4119389Z               78 STORE_SUBSCR
2022-11-23T01:30:20.4119477Z               80 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4119549Z               82 RETURN_VALUE
2022-11-23T01:30:20.4119554Z 
2022-11-23T01:30:20.4119602Z  
2022-11-23T01:30:20.4119930Z [2022-11-23 01:27:22,734] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3303 
2022-11-23T01:30:20.4120037Z 3303           0 LOAD_GLOBAL              0 (__compiled_fn_369)
2022-11-23T01:30:20.4120155Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4120245Z                4 CALL_FUNCTION            1
2022-11-23T01:30:20.4120316Z                6 POP_TOP
2022-11-23T01:30:20.4120409Z                8 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4120471Z               10 RETURN_VALUE
2022-11-23T01:30:20.4120488Z 
2022-11-23T01:30:20.4120535Z  
2022-11-23T01:30:20.4120717Z [2022-11-23 01:27:22,734] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4120785Z  - 
2022-11-23T01:30:20.4120904Z             local 'a' TENSOR_MATCH
2022-11-23T01:30:20.4120967Z             {
2022-11-23T01:30:20.4121110Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4121203Z                 'code': None,
2022-11-23T01:30:20.4121416Z                 'obj_weakref': <weakref at 0x7ff58f987a60; to 'Tensor' at 0x7ff57ff515d0>
2022-11-23T01:30:20.4121669Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4121738Z             }
2022-11-23T01:30:20.4121805Z             
2022-11-23T01:30:20.4121876Z ok (0.018s)
2022-11-23T01:30:20.4122196Z   test_slice_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4122512Z [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4122718Z [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4122972Z [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4123250Z [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4123569Z [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4123916Z [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4124244Z [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4124619Z [2022-11-23 01:27:22,757] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d0b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657> 
2022-11-23T01:30:20.4124716Z  3658           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.4124822Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:30:20.4124913Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4124989Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4125078Z                8 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4125171Z               10 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4125272Z               12 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:30:20.4125401Z               14 CALL_METHOD              5
2022-11-23T01:30:20.4125479Z               16 RETURN_VALUE
2022-11-23T01:30:20.4125544Z  
2022-11-23T01:30:20.4125549Z 
2022-11-23T01:30:20.4125852Z [2022-11-23 01:27:22,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3658
2022-11-23T01:30:20.4126069Z [2022-11-23 01:27:22,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.4126385Z [2022-11-23 01:27:22,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.4126649Z [2022-11-23 01:27:22,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter)]
2022-11-23T01:30:20.4126974Z [2022-11-23 01:27:22,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:30:20.4127293Z [2022-11-23 01:27:22,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4127647Z [2022-11-23 01:27:22,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4128062Z [2022-11-23 01:27:22,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4128497Z [2022-11-23 01:27:22,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4128746Z [2022-11-23 01:27:22,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4129127Z [2022-11-23 01:27:22,765] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d0b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3657>
2022-11-23T01:30:20.4129371Z [2022-11-23 01:27:22,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4129590Z [2022-11-23 01:27:22,765] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4129842Z [2022-11-23 01:27:22,766] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4130092Z [2022-11-23 01:27:22,768] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4130279Z [2022-11-23 01:27:22,769] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4130416Z  __compiled_fn_370 <eval_with_key>.3034 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4130507Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4130595Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.4130740Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 0, 0, 9223372036854775807), {}
2022-11-23T01:30:20.4130837Z output, output, output, ((slice_scatter,),), {}
2022-11-23T01:30:20.4130843Z 
2022-11-23T01:30:20.4131170Z [2022-11-23 01:27:22,769] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4131264Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4131357Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4131444Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4131537Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4131623Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4131708Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4131771Z              12 RETURN_VALUE
2022-11-23T01:30:20.4131776Z 
2022-11-23T01:30:20.4131866Z  
2022-11-23T01:30:20.4132192Z [2022-11-23 01:27:22,769] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4132298Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_370)
2022-11-23T01:30:20.4132388Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4132479Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4132558Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4132634Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4132723Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4132797Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.4132882Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.4133001Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.4133074Z              18 RETURN_VALUE
2022-11-23T01:30:20.4133079Z 
2022-11-23T01:30:20.4133139Z  
2022-11-23T01:30:20.4133320Z [2022-11-23 01:27:22,770] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4133376Z  - 
2022-11-23T01:30:20.4133493Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4133557Z             {
2022-11-23T01:30:20.4133696Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4133880Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4133997Z                 'obj_weakref': None
2022-11-23T01:30:20.4134218Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4134271Z             }
2022-11-23T01:30:20.4134332Z             
2022-11-23T01:30:20.4134401Z  - 
2022-11-23T01:30:20.4134524Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4134587Z             {
2022-11-23T01:30:20.4134734Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4134840Z                 'code': None,
2022-11-23T01:30:20.4135040Z                 'obj_weakref': <weakref at 0x7ff58f999c60; to 'Tensor' at 0x7ff57f8b3060>
2022-11-23T01:30:20.4135293Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4135355Z             }
2022-11-23T01:30:20.4135419Z             
2022-11-23T01:30:20.4135487Z  - 
2022-11-23T01:30:20.4135612Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.4135674Z             {
2022-11-23T01:30:20.4135804Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4135908Z                 'code': None,
2022-11-23T01:30:20.4136116Z                 'obj_weakref': <weakref at 0x7ff59c05f240; to 'Tensor' at 0x7ff58f9df5b0>
2022-11-23T01:30:20.4136365Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4136553Z             }
2022-11-23T01:30:20.4136616Z             
2022-11-23T01:30:20.4136689Z  - 
2022-11-23T01:30:20.4136806Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4136870Z             {
2022-11-23T01:30:20.4137005Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4137175Z                 'code': ['___check_obj_id(model, 140693070183104)'],
2022-11-23T01:30:20.4137292Z                 'obj_weakref': None
2022-11-23T01:30:20.4137520Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4137582Z             }
2022-11-23T01:30:20.4137632Z             
2022-11-23T01:30:20.4137699Z  - 
2022-11-23T01:30:20.4137819Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4137883Z             {
2022-11-23T01:30:20.4138018Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4138234Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4138353Z                 'obj_weakref': None
2022-11-23T01:30:20.4138561Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4138669Z             }
2022-11-23T01:30:20.4138733Z             
2022-11-23T01:30:20.4138802Z  - 
2022-11-23T01:30:20.4138931Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.4138993Z             {
2022-11-23T01:30:20.4139101Z                 'guard_types': None,
2022-11-23T01:30:20.4139206Z                 'code': None,
2022-11-23T01:30:20.4139321Z                 'obj_weakref': None
2022-11-23T01:30:20.4139439Z                 'guarded_class': None
2022-11-23T01:30:20.4139503Z             }
2022-11-23T01:30:20.4139566Z             
2022-11-23T01:30:20.4139827Z [2022-11-23 01:27:22,775] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 362
2022-11-23T01:30:20.4140190Z [2022-11-23 01:27:24,181] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca24clxer7zvwm5mcxsd3txvjsv662ikp5jgz3jrccf7rgyjuato.py
2022-11-23T01:30:20.4140477Z [2022-11-23 01:27:24,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 362
2022-11-23T01:30:20.4140498Z 
2022-11-23T01:30:20.4140578Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4140645Z import torch
2022-11-23T01:30:20.4140713Z import random
2022-11-23T01:30:20.4140827Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4140946Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4140951Z 
2022-11-23T01:30:20.4141026Z aten = torch.ops.aten
2022-11-23T01:30:20.4141158Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4141235Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4141240Z 
2022-11-23T01:30:20.4141244Z 
2022-11-23T01:30:20.4141375Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4141578Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4141700Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4141798Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.4141860Z {
2022-11-23T01:30:20.4141956Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4142005Z     {
2022-11-23T01:30:20.4142081Z         #pragma omp for 
2022-11-23T01:30:20.4142164Z         for(long i0=0; i0<75648; i0+=1)
2022-11-23T01:30:20.4142226Z         {
2022-11-23T01:30:20.4142366Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4142457Z             tmp0.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4142519Z         }
2022-11-23T01:30:20.4142601Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4142689Z         for(long i0=605184; i0<605184; i0+=1)
2022-11-23T01:30:20.4142751Z         {
2022-11-23T01:30:20.4142833Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4142912Z             out_ptr0[i0] = tmp0;
2022-11-23T01:30:20.4142975Z         }
2022-11-23T01:30:20.4143035Z     }
2022-11-23T01:30:20.4143082Z }
2022-11-23T01:30:20.4143160Z ''')
2022-11-23T01:30:20.4143164Z 
2022-11-23T01:30:20.4143169Z 
2022-11-23T01:30:20.4143258Z async_compile.wait(globals())
2022-11-23T01:30:20.4143330Z del async_compile
2022-11-23T01:30:20.4143335Z 
2022-11-23T01:30:20.4143403Z def call(args):
2022-11-23T01:30:20.4143478Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4143548Z     args.clear()
2022-11-23T01:30:20.4143752Z     buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4143883Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4143949Z     del arg1_1
2022-11-23T01:30:20.4144020Z     return (buf0, )
2022-11-23T01:30:20.4144025Z 
2022-11-23T01:30:20.4144029Z 
2022-11-23T01:30:20.4144105Z if __name__ == "__main__":
2022-11-23T01:30:20.4144217Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4144336Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4144553Z     arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4144788Z     arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4144904Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4144909Z 
2022-11-23T01:30:20.4144973Z ok (1.454s)
2022-11-23T01:30:20.4145287Z   test_slice_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4145600Z [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4145817Z [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4146069Z [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4146370Z [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4146689Z [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4147031Z [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4147338Z [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4147709Z [2022-11-23 01:27:24,194] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d09d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642> 
2022-11-23T01:30:20.4147803Z  3644           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.4147909Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:30:20.4148000Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4148090Z                6 LOAD_FAST                1 (a)
2022-11-23T01:30:20.4148176Z                8 LOAD_CONST               1 (2)
2022-11-23T01:30:20.4148266Z               10 LOAD_CONST               2 (10)
2022-11-23T01:30:20.4148391Z               12 LOAD_CONST               3 (-10)
2022-11-23T01:30:20.4148478Z               14 CALL_METHOD              5
2022-11-23T01:30:20.4148483Z 
2022-11-23T01:30:20.4148574Z 3645          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.4148676Z               18 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:30:20.4148766Z               20 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4148852Z               22 LOAD_FAST                1 (a)
2022-11-23T01:30:20.4148941Z               24 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4149031Z               26 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4149106Z               28 BUILD_SLICE              2
2022-11-23T01:30:20.4149195Z               30 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4149282Z               32 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4149366Z               34 BUILD_SLICE              2
2022-11-23T01:30:20.4149452Z               36 LOAD_CONST               0 (None)
2022-11-23T01:30:20.4149542Z               38 LOAD_CONST               4 (40)
2022-11-23T01:30:20.4149629Z               40 BUILD_SLICE              2
2022-11-23T01:30:20.4149704Z               42 BUILD_TUPLE              3
2022-11-23T01:30:20.4149780Z               44 BINARY_SUBSCR
2022-11-23T01:30:20.4149867Z               46 LOAD_CONST               1 (2)
2022-11-23T01:30:20.4149955Z               48 LOAD_CONST               2 (10)
2022-11-23T01:30:20.4150092Z               50 LOAD_CONST               3 (-10)
2022-11-23T01:30:20.4150180Z               52 LOAD_CONST               1 (2)
2022-11-23T01:30:20.4150267Z               54 CALL_METHOD              6
2022-11-23T01:30:20.4150272Z 
2022-11-23T01:30:20.4150379Z 3643          56 BUILD_TUPLE              2
2022-11-23T01:30:20.4150455Z               58 RETURN_VALUE
2022-11-23T01:30:20.4150515Z  
2022-11-23T01:30:20.4150520Z 
2022-11-23T01:30:20.4150837Z [2022-11-23 01:27:24,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3644
2022-11-23T01:30:20.4151056Z [2022-11-23 01:27:24,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.4151375Z [2022-11-23 01:27:24,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.4151636Z [2022-11-23 01:27:24,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.slice_scatter)]
2022-11-23T01:30:20.4151928Z [2022-11-23 01:27:24,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:30:20.4152274Z [2022-11-23 01:27:24,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4152629Z [2022-11-23 01:27:24,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4153013Z [2022-11-23 01:27:24,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4153448Z [2022-11-23 01:27:24,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4153762Z [2022-11-23 01:27:24,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3645
2022-11-23T01:30:20.4154103Z [2022-11-23 01:27:24,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.4154452Z [2022-11-23 01:27:24,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.4154745Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.slice_scatter)]
2022-11-23T01:30:20.4155062Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:30:20.4155413Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4155819Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4156267Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4156643Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:30:20.4157069Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4157576Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4157983Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4158413Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.4158902Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:30:20.4159356Z [2022-11-23 01:27:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:30:20.4159737Z [2022-11-23 01:27:24,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4160076Z [2022-11-23 01:27:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4160460Z [2022-11-23 01:27:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4160882Z [2022-11-23 01:27:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4161346Z [2022-11-23 01:27:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4161847Z [2022-11-23 01:27:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4162160Z [2022-11-23 01:27:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3643
2022-11-23T01:30:20.4162426Z [2022-11-23 01:27:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4162670Z [2022-11-23 01:27:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4163045Z [2022-11-23 01:27:24,213] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d09d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3642>
2022-11-23T01:30:20.4163291Z [2022-11-23 01:27:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4163519Z [2022-11-23 01:27:24,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4163759Z [2022-11-23 01:27:24,215] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4164005Z [2022-11-23 01:27:24,219] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4164190Z [2022-11-23 01:27:24,219] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4164327Z  __compiled_fn_371 <eval_with_key>.3040 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4164473Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4164562Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.4164765Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 2, 10, -10), {}
2022-11-23T01:30:20.4165057Z call_function, getitem, <built-in function getitem>, (ex_1_, (slice(None, None, None), slice(None, None, None), slice(None, 40, None))), {}
2022-11-23T01:30:20.4165258Z call_function, slice_scatter_1, aten.slice_scatter, (ex_0_, getitem, 2, 10, -10, 2), {}
2022-11-23T01:30:20.4165384Z output, output, output, ((slice_scatter, slice_scatter_1),), {}
2022-11-23T01:30:20.4165390Z 
2022-11-23T01:30:20.4165716Z [2022-11-23 01:27:24,219] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4165812Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4165932Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4166019Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4166112Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4166197Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4166271Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4166346Z              12 RETURN_VALUE
2022-11-23T01:30:20.4166352Z 
2022-11-23T01:30:20.4166412Z  
2022-11-23T01:30:20.4166735Z [2022-11-23 01:27:24,219] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4166842Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_371)
2022-11-23T01:30:20.4166930Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4167019Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4167094Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4167174Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4167260Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4167337Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.4167424Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.4167524Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4167624Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4167711Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4167773Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4167871Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4167957Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4168031Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4168116Z              30 BUILD_TUPLE              2
2022-11-23T01:30:20.4168189Z              32 RETURN_VALUE
2022-11-23T01:30:20.4168194Z 
2022-11-23T01:30:20.4168257Z  
2022-11-23T01:30:20.4168428Z [2022-11-23 01:27:24,220] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4168497Z  - 
2022-11-23T01:30:20.4168615Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4168681Z             {
2022-11-23T01:30:20.4168820Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4169005Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4169123Z                 'obj_weakref': None
2022-11-23T01:30:20.4169334Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4169398Z             }
2022-11-23T01:30:20.4169465Z             
2022-11-23T01:30:20.4169534Z  - 
2022-11-23T01:30:20.4169662Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4169727Z             {
2022-11-23T01:30:20.4169870Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4169963Z                 'code': None,
2022-11-23T01:30:20.4170176Z                 'obj_weakref': <weakref at 0x7ff58ff17970; to 'Tensor' at 0x7ff59c1ee8e0>
2022-11-23T01:30:20.4170472Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4170540Z             }
2022-11-23T01:30:20.4170605Z             
2022-11-23T01:30:20.4170675Z  - 
2022-11-23T01:30:20.4170798Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.4170848Z             {
2022-11-23T01:30:20.4170992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4171099Z                 'code': None,
2022-11-23T01:30:20.4171310Z                 'obj_weakref': <weakref at 0x7ff58ff15760; to 'Tensor' at 0x7ff59c0edf80>
2022-11-23T01:30:20.4171560Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4171624Z             }
2022-11-23T01:30:20.4171688Z             
2022-11-23T01:30:20.4171743Z  - 
2022-11-23T01:30:20.4171874Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4171965Z             {
2022-11-23T01:30:20.4172100Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4172271Z                 'code': ['___check_obj_id(model, 140692656233856)'],
2022-11-23T01:30:20.4172390Z                 'obj_weakref': None
2022-11-23T01:30:20.4172619Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4172671Z             }
2022-11-23T01:30:20.4172733Z             
2022-11-23T01:30:20.4172803Z  - 
2022-11-23T01:30:20.4172926Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4172991Z             {
2022-11-23T01:30:20.4173127Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4173344Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4173448Z                 'obj_weakref': None
2022-11-23T01:30:20.4173670Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4173737Z             }
2022-11-23T01:30:20.4173800Z             
2022-11-23T01:30:20.4173870Z  - 
2022-11-23T01:30:20.4174001Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.4174067Z             {
2022-11-23T01:30:20.4174172Z                 'guard_types': None,
2022-11-23T01:30:20.4174279Z                 'code': None,
2022-11-23T01:30:20.4174396Z                 'obj_weakref': None
2022-11-23T01:30:20.4174518Z                 'guarded_class': None
2022-11-23T01:30:20.4174583Z             }
2022-11-23T01:30:20.4174646Z             
2022-11-23T01:30:20.4174904Z [2022-11-23 01:27:24,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 363
2022-11-23T01:30:20.4175256Z [2022-11-23 01:27:25,650] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qi/cqiuq3mx7f5pi6n2c257qwdc5l4liaaputeh2ppm36tpwmbn6uxn.py
2022-11-23T01:30:20.4175519Z [2022-11-23 01:27:25,650] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 363
2022-11-23T01:30:20.4175527Z 
2022-11-23T01:30:20.4175619Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4175690Z import torch
2022-11-23T01:30:20.4175764Z import random
2022-11-23T01:30:20.4175880Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4176004Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4176009Z 
2022-11-23T01:30:20.4176088Z aten = torch.ops.aten
2022-11-23T01:30:20.4176208Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4176304Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4176309Z 
2022-11-23T01:30:20.4176313Z 
2022-11-23T01:30:20.4176562Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4176769Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4176888Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4176990Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.4177095Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4177194Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.4177242Z {
2022-11-23T01:30:20.4177388Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4177451Z     {
2022-11-23T01:30:20.4177527Z         #pragma omp for 
2022-11-23T01:30:20.4177608Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4177670Z         {
2022-11-23T01:30:20.4177749Z             #pragma GCC ivdep
2022-11-23T01:30:20.4177823Z             for(long i1=0; i1<100; i1+=1)
2022-11-23T01:30:20.4177886Z             {
2022-11-23T01:30:20.4177950Z                 {
2022-11-23T01:30:20.4178017Z                     {
2022-11-23T01:30:20.4178118Z                         auto tmp8 = in_ptr1[i1 + (100*i0)];
2022-11-23T01:30:20.4178219Z                         auto tmp0 = static_cast<int>(i1);
2022-11-23T01:30:20.4178322Z                         auto tmp1 = static_cast<int>(10);
2022-11-23T01:30:20.4178439Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:20.4178543Z                         auto tmp3 = static_cast<int>(90);
2022-11-23T01:30:20.4178638Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:20.4178730Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:30:20.4178813Z                         float tmp6 = 0.0;
2022-11-23T01:30:20.4178885Z                         if(tmp5)
2022-11-23T01:30:20.4178954Z                         {
2022-11-23T01:30:20.4179112Z                             auto tmp7 = in_ptr0[(-10) + i1 + (80*i0)];
2022-11-23T01:30:20.4179192Z                             tmp6 = tmp7;
2022-11-23T01:30:20.4179259Z                         }
2022-11-23T01:30:20.4179358Z                         auto tmp9 = tmp5 ? tmp6 : tmp8;
2022-11-23T01:30:20.4179465Z                         auto tmp10 = static_cast<int>(i1 % 2);
2022-11-23T01:30:20.4179563Z                         auto tmp11 = static_cast<int>(0);
2022-11-23T01:30:20.4179658Z                         auto tmp12 = tmp10 == tmp11;
2022-11-23T01:30:20.4179741Z                         auto tmp13 = tmp5 & tmp12;
2022-11-23T01:30:20.4179824Z                         float tmp14 = 0.0;
2022-11-23T01:30:20.4179900Z                         if(tmp13)
2022-11-23T01:30:20.4179968Z                         {
2022-11-23T01:30:20.4180144Z                             auto tmp15 = in_ptr0[(-5) + (80*i0) + (i1 / 2)];
2022-11-23T01:30:20.4180225Z                             tmp14 = tmp15;
2022-11-23T01:30:20.4180292Z                         }
2022-11-23T01:30:20.4180380Z                         auto tmp16 = tmp13 ? tmp14 : tmp8;
2022-11-23T01:30:20.4180474Z                         out_ptr0[i1 + (100*i0)] = tmp9;
2022-11-23T01:30:20.4180567Z                         out_ptr1[i1 + (100*i0)] = tmp16;
2022-11-23T01:30:20.4180633Z                     }
2022-11-23T01:30:20.4180697Z                 }
2022-11-23T01:30:20.4180759Z             }
2022-11-23T01:30:20.4180821Z         }
2022-11-23T01:30:20.4180870Z     }
2022-11-23T01:30:20.4180930Z }
2022-11-23T01:30:20.4181006Z ''')
2022-11-23T01:30:20.4181011Z 
2022-11-23T01:30:20.4181016Z 
2022-11-23T01:30:20.4181105Z async_compile.wait(globals())
2022-11-23T01:30:20.4181178Z del async_compile
2022-11-23T01:30:20.4181183Z 
2022-11-23T01:30:20.4181252Z def call(args):
2022-11-23T01:30:20.4181326Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4181384Z     args.clear()
2022-11-23T01:30:20.4181594Z     buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4181799Z     buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4181989Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.4182057Z     del arg0_1
2022-11-23T01:30:20.4182121Z     del arg1_1
2022-11-23T01:30:20.4182196Z     return (buf0, buf1, )
2022-11-23T01:30:20.4182200Z 
2022-11-23T01:30:20.4182204Z 
2022-11-23T01:30:20.4182278Z if __name__ == "__main__":
2022-11-23T01:30:20.4182380Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4182500Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4182737Z     arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4182945Z     arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4183058Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4183063Z 
2022-11-23T01:30:20.4183128Z ok (1.462s)
2022-11-23T01:30:20.4183431Z   test_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4183747Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4183961Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4184231Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4184511Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4184829Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4185173Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4185492Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4185863Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230> 
2022-11-23T01:30:20.4185961Z  1231           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4186057Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T01:30:20.4186146Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4186223Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4186295Z                8 BINARY_ADD
2022-11-23T01:30:20.4186430Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4186517Z               12 CALL_METHOD              2
2022-11-23T01:30:20.4186609Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4186706Z               16 LOAD_METHOD              1 (softmax)
2022-11-23T01:30:20.4186794Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4186868Z               20 LOAD_CONST               2 (0)
2022-11-23T01:30:20.4186954Z               22 CALL_METHOD              2
2022-11-23T01:30:20.4187048Z               24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4187140Z               26 LOAD_METHOD              1 (softmax)
2022-11-23T01:30:20.4187228Z               28 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4187313Z               30 LOAD_CONST               3 (1)
2022-11-23T01:30:20.4187397Z               32 CALL_METHOD              2
2022-11-23T01:30:20.4187484Z               34 BUILD_TUPLE              3
2022-11-23T01:30:20.4187546Z               36 RETURN_VALUE
2022-11-23T01:30:20.4187605Z  
2022-11-23T01:30:20.4187610Z 
2022-11-23T01:30:20.4187925Z [2022-11-23 01:27:25,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1231
2022-11-23T01:30:20.4188143Z [2022-11-23 01:27:25,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4188511Z [2022-11-23 01:27:25,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4188871Z [2022-11-23 01:27:25,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4189221Z [2022-11-23 01:27:25,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4189604Z [2022-11-23 01:27:25,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4189950Z [2022-11-23 01:27:25,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4190337Z [2022-11-23 01:27:25,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4190597Z [2022-11-23 01:27:25,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.4190992Z [2022-11-23 01:27:25,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4191343Z [2022-11-23 01:27:25,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4191720Z [2022-11-23 01:27:25,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4192140Z [2022-11-23 01:27:25,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4192416Z [2022-11-23 01:27:25,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4192842Z [2022-11-23 01:27:25,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4193219Z [2022-11-23 01:27:25,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4193627Z [2022-11-23 01:27:25,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4194154Z [2022-11-23 01:27:25,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4194452Z [2022-11-23 01:27:25,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4194697Z [2022-11-23 01:27:25,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4195073Z [2022-11-23 01:27:25,667] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1230>
2022-11-23T01:30:20.4195316Z [2022-11-23 01:27:25,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4195536Z [2022-11-23 01:27:25,667] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4195793Z [2022-11-23 01:27:25,668] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4196072Z [2022-11-23 01:27:25,676] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4196260Z [2022-11-23 01:27:25,676] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4196394Z  __compiled_fn_372 <eval_with_key>.3046 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4196483Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4196570Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.4196748Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.4196969Z call_function, softmax, <built-in method softmax of type object at 0x7ff5d7c59c60>, (add, -1), {}
2022-11-23T01:30:20.4197210Z call_function, softmax_1, <built-in method softmax of type object at 0x7ff5d7c59c60>, (ex_0_, 0), {}
2022-11-23T01:30:20.4197471Z call_function, softmax_2, <built-in method softmax of type object at 0x7ff5d7c59c60>, (ex_1_, 1), {}
2022-11-23T01:30:20.4197594Z output, output, output, ((softmax, softmax_1, softmax_2),), {}
2022-11-23T01:30:20.4197602Z 
2022-11-23T01:30:20.4197925Z [2022-11-23 01:27:25,677] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4198017Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4198107Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4198192Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4198272Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4198355Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4198441Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4198516Z              12 RETURN_VALUE
2022-11-23T01:30:20.4198522Z 
2022-11-23T01:30:20.4198581Z  
2022-11-23T01:30:20.4198904Z [2022-11-23 01:27:25,677] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4199015Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_372)
2022-11-23T01:30:20.4199103Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4199180Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4199256Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4199342Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4199429Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4199504Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.4199588Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.4199690Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4199777Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4199865Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4199941Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4200040Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4200127Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4200202Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4200301Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4200377Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4200450Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.4200536Z              36 BUILD_TUPLE              3
2022-11-23T01:30:20.4200608Z              38 RETURN_VALUE
2022-11-23T01:30:20.4200613Z 
2022-11-23T01:30:20.4200673Z  
2022-11-23T01:30:20.4200854Z [2022-11-23 01:27:25,678] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4200925Z  - 
2022-11-23T01:30:20.4201032Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4201095Z             {
2022-11-23T01:30:20.4201235Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4201421Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4201540Z                 'obj_weakref': None
2022-11-23T01:30:20.4201794Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4201860Z             }
2022-11-23T01:30:20.4201910Z             
2022-11-23T01:30:20.4201978Z  - 
2022-11-23T01:30:20.4202101Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4202163Z             {
2022-11-23T01:30:20.4202303Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4202407Z                 'code': None,
2022-11-23T01:30:20.4202619Z                 'obj_weakref': <weakref at 0x7ff59c05d9e0; to 'Tensor' at 0x7ff59c1ee8e0>
2022-11-23T01:30:20.4202873Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4202924Z             }
2022-11-23T01:30:20.4202986Z             
2022-11-23T01:30:20.4203054Z  - 
2022-11-23T01:30:20.4203201Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.4203263Z             {
2022-11-23T01:30:20.4203403Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4203498Z                 'code': None,
2022-11-23T01:30:20.4203707Z                 'obj_weakref': <weakref at 0x7ff59c05c130; to 'Tensor' at 0x7ff59c046a70>
2022-11-23T01:30:20.4203958Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4204019Z             }
2022-11-23T01:30:20.4204081Z             
2022-11-23T01:30:20.4204149Z  - 
2022-11-23T01:30:20.4204279Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4204329Z             {
2022-11-23T01:30:20.4204461Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4204627Z                 'code': ['___check_obj_id(model, 140692657267632)'],
2022-11-23T01:30:20.4204743Z                 'obj_weakref': None
2022-11-23T01:30:20.4204969Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4205034Z             }
2022-11-23T01:30:20.4205096Z             
2022-11-23T01:30:20.4205151Z  - 
2022-11-23T01:30:20.4205272Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4205334Z             {
2022-11-23T01:30:20.4205468Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4205682Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4205797Z                 'obj_weakref': None
2022-11-23T01:30:20.4206015Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4206077Z             }
2022-11-23T01:30:20.4206126Z             
2022-11-23T01:30:20.4206193Z  - 
2022-11-23T01:30:20.4206325Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4206394Z             {
2022-11-23T01:30:20.4206510Z                 'guard_types': None,
2022-11-23T01:30:20.4206618Z                 'code': None,
2022-11-23T01:30:20.4206721Z                 'obj_weakref': None
2022-11-23T01:30:20.4206841Z                 'guarded_class': None
2022-11-23T01:30:20.4206904Z             }
2022-11-23T01:30:20.4206966Z             
2022-11-23T01:30:20.4207225Z [2022-11-23 01:27:25,694] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 364
2022-11-23T01:30:20.4207231Z 
2022-11-23T01:30:20.4207322Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4207389Z import torch
2022-11-23T01:30:20.4207444Z import random
2022-11-23T01:30:20.4207558Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4207677Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4207682Z 
2022-11-23T01:30:20.4207759Z aten = torch.ops.aten
2022-11-23T01:30:20.4207892Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4207982Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4207987Z 
2022-11-23T01:30:20.4207991Z 
2022-11-23T01:30:20.4208124Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4208328Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4208469Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.4208559Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:20.4208660Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:30:20.4208763Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4208866Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.4208963Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4209057Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.4209151Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.4209231Z                        float* __restrict__ out_ptr6,
2022-11-23T01:30:20.4209324Z                        float* __restrict__ out_ptr7,
2022-11-23T01:30:20.4209445Z                        float* __restrict__ out_ptr8)
2022-11-23T01:30:20.4209508Z {
2022-11-23T01:30:20.4209596Z     auto out_ptr3 = in_out_ptr0;
2022-11-23T01:30:20.4209683Z     auto out_ptr4 = in_out_ptr1;
2022-11-23T01:30:20.4209766Z     auto out_ptr5 = in_out_ptr2;
2022-11-23T01:30:20.4209851Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4209914Z     {
2022-11-23T01:30:20.4209992Z         #pragma omp for 
2022-11-23T01:30:20.4210075Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4210140Z         {
2022-11-23T01:30:20.4210205Z             {
2022-11-23T01:30:20.4210590Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:30:20.4210812Z                 float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.4210934Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.4211139Z                 float tmp4 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.4211258Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:30:20.4211351Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4211420Z                 {
2022-11-23T01:30:20.4211563Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4211705Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4211799Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4211904Z                     tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T01:30:20.4212018Z                     tmp4_vec = at::vec::maximum(tmp4_vec, tmp1);
2022-11-23T01:30:20.4212084Z                 }
2022-11-23T01:30:20.4212296Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T01:30:20.4212503Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp4_vec);
2022-11-23T01:30:20.4212647Z                 #pragma omp simd simdlen(4)  reduction(max:tmp3) reduction(max:tmp4)
2022-11-23T01:30:20.4212739Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4212805Z                 {
2022-11-23T01:30:20.4212905Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4212987Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.4213079Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4213177Z                     tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:30:20.4213275Z                     tmp4 = std::max(tmp4, tmp1);
2022-11-23T01:30:20.4213340Z                 }
2022-11-23T01:30:20.4213424Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.4213505Z                 out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.4213560Z             }
2022-11-23T01:30:20.4213624Z         }
2022-11-23T01:30:20.4213703Z         #pragma omp for 
2022-11-23T01:30:20.4213784Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4213890Z         {
2022-11-23T01:30:20.4213956Z             {
2022-11-23T01:30:20.4214007Z                 {
2022-11-23T01:30:20.4214222Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.4214314Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.4214379Z                     {
2022-11-23T01:30:20.4214452Z                         {
2022-11-23T01:30:20.4214555Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:30:20.4214659Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:30:20.4214729Z                         }
2022-11-23T01:30:20.4214782Z                     }
2022-11-23T01:30:20.4214867Z                     out_ptr2[i0] = tmp1;
2022-11-23T01:30:20.4214935Z                 }
2022-11-23T01:30:20.4215027Z             }
2022-11-23T01:30:20.4215089Z         }
2022-11-23T01:30:20.4215163Z         #pragma omp for 
2022-11-23T01:30:20.4215229Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4215294Z         {
2022-11-23T01:30:20.4215357Z             {
2022-11-23T01:30:20.4215545Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4215624Z                 float tmp12 = 0;
2022-11-23T01:30:20.4215745Z                 auto tmp12_vec = at::vec::Vectorized<float>(tmp12);
2022-11-23T01:30:20.4215832Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4215898Z                 {
2022-11-23T01:30:20.4216026Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4216164Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4216292Z                     auto tmp3 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:20.4216555Z                     auto tmp6 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i1);
2022-11-23T01:30:20.4216683Z                     auto tmp9 = at::vec::Vectorized<float>(out_ptr1[i0]);
2022-11-23T01:30:20.4216776Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4216911Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:30:20.4217001Z                     auto tmp5 = tmp4.exp();
2022-11-23T01:30:20.4217119Z                     auto tmp7 = tmp0 - tmp6;
2022-11-23T01:30:20.4217208Z                     auto tmp8 = tmp7.exp();
2022-11-23T01:30:20.4217347Z                     auto tmp10 = tmp1 - tmp9;
2022-11-23T01:30:20.4217437Z                     auto tmp11 = tmp10.exp();
2022-11-23T01:30:20.4217542Z                     tmp5.store(out_ptr3 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4217650Z                     tmp8.store(out_ptr4 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4217757Z                     tmp11.store(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4217829Z                     tmp12_vec += tmp5;
2022-11-23T01:30:20.4217893Z                 }
2022-11-23T01:30:20.4218092Z                 tmp12 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp12_vec);
2022-11-23T01:30:20.4218209Z                 #pragma omp simd simdlen(4)  reduction(+:tmp12)
2022-11-23T01:30:20.4218296Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4218363Z                 {
2022-11-23T01:30:20.4218459Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4218552Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.4218631Z                     auto tmp3 = out_ptr0[i0];
2022-11-23T01:30:20.4218720Z                     auto tmp6 = out_ptr2[i1];
2022-11-23T01:30:20.4218808Z                     auto tmp9 = out_ptr1[i0];
2022-11-23T01:30:20.4218896Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4219029Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:30:20.4219128Z                     auto tmp5 = std::exp(tmp4);
2022-11-23T01:30:20.4219260Z                     auto tmp7 = tmp0 - tmp6;
2022-11-23T01:30:20.4219388Z                     auto tmp8 = std::exp(tmp7);
2022-11-23T01:30:20.4219524Z                     auto tmp10 = tmp1 - tmp9;
2022-11-23T01:30:20.4219622Z                     auto tmp11 = std::exp(tmp10);
2022-11-23T01:30:20.4219714Z                     out_ptr3[i1 + (8*i0)] = tmp5;
2022-11-23T01:30:20.4219804Z                     out_ptr4[i1 + (8*i0)] = tmp8;
2022-11-23T01:30:20.4219894Z                     out_ptr5[i1 + (8*i0)] = tmp11;
2022-11-23T01:30:20.4219973Z                     tmp12 += tmp5;
2022-11-23T01:30:20.4220038Z                 }
2022-11-23T01:30:20.4220106Z                 out_ptr6[i0] = tmp12;
2022-11-23T01:30:20.4220169Z             }
2022-11-23T01:30:20.4220231Z         }
2022-11-23T01:30:20.4220307Z         #pragma omp for 
2022-11-23T01:30:20.4220389Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4220484Z         {
2022-11-23T01:30:20.4220535Z             {
2022-11-23T01:30:20.4220597Z                 {
2022-11-23T01:30:20.4220675Z                     float tmp1 = 0;
2022-11-23T01:30:20.4220767Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.4220832Z                     {
2022-11-23T01:30:20.4220898Z                         {
2022-11-23T01:30:20.4221000Z                             auto tmp0 = out_ptr4[i0 + (8*i1)];
2022-11-23T01:30:20.4221069Z                             tmp1 += tmp0;
2022-11-23T01:30:20.4221136Z                         }
2022-11-23T01:30:20.4221202Z                     }
2022-11-23T01:30:20.4221286Z                     out_ptr7[i0] = tmp1;
2022-11-23T01:30:20.4221348Z                 }
2022-11-23T01:30:20.4221411Z             }
2022-11-23T01:30:20.4221472Z         }
2022-11-23T01:30:20.4221535Z         #pragma omp for 
2022-11-23T01:30:20.4221614Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4221675Z         {
2022-11-23T01:30:20.4221738Z             {
2022-11-23T01:30:20.4221926Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4222005Z                 float tmp1 = 0;
2022-11-23T01:30:20.4222123Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.4222198Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4222261Z                 {
2022-11-23T01:30:20.4222401Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4222481Z                     tmp1_vec += tmp0;
2022-11-23T01:30:20.4222544Z                 }
2022-11-23T01:30:20.4222736Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.4222853Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:20.4222941Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4222995Z                 {
2022-11-23T01:30:20.4223092Z                     auto tmp0 = out_ptr5[i1 + (8*i0)];
2022-11-23T01:30:20.4223167Z                     tmp1 += tmp0;
2022-11-23T01:30:20.4223233Z                 }
2022-11-23T01:30:20.4223311Z                 out_ptr8[i0] = tmp1;
2022-11-23T01:30:20.4223373Z             }
2022-11-23T01:30:20.4223434Z         }
2022-11-23T01:30:20.4223497Z         #pragma omp for 
2022-11-23T01:30:20.4223575Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4223637Z         {
2022-11-23T01:30:20.4223717Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4223778Z             {
2022-11-23T01:30:20.4223914Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4224037Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr6[i0]);
2022-11-23T01:30:20.4224111Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4224215Z                 tmp2.store(in_out_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4224278Z             }
2022-11-23T01:30:20.4224369Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.4224451Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4224538Z             {
2022-11-23T01:30:20.4224634Z                 auto tmp0 = out_ptr3[i1 + (8*i0)];
2022-11-23T01:30:20.4224709Z                 auto tmp1 = out_ptr6[i0];
2022-11-23T01:30:20.4224794Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4224886Z                 in_out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:30:20.4224948Z             }
2022-11-23T01:30:20.4225009Z         }
2022-11-23T01:30:20.4225083Z         #pragma omp for 
2022-11-23T01:30:20.4225163Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4225212Z         {
2022-11-23T01:30:20.4225291Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4225352Z             {
2022-11-23T01:30:20.4225489Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4225648Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(out_ptr7 + 8*i1);
2022-11-23T01:30:20.4225733Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4225838Z                 tmp2.store(in_out_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4225888Z             }
2022-11-23T01:30:20.4225977Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.4226057Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4226119Z             {
2022-11-23T01:30:20.4226213Z                 auto tmp0 = out_ptr4[i1 + (8*i0)];
2022-11-23T01:30:20.4226298Z                 auto tmp1 = out_ptr7[i1];
2022-11-23T01:30:20.4226382Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4226463Z                 in_out_ptr1[i1 + (8*i0)] = tmp2;
2022-11-23T01:30:20.4226525Z             }
2022-11-23T01:30:20.4226585Z         }
2022-11-23T01:30:20.4226658Z         #pragma omp for 
2022-11-23T01:30:20.4226739Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4226800Z         {
2022-11-23T01:30:20.4226881Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4226931Z             {
2022-11-23T01:30:20.4227068Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr5 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4227191Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr8[i0]);
2022-11-23T01:30:20.4227276Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4227380Z                 tmp2.store(in_out_ptr2 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4227441Z             }
2022-11-23T01:30:20.4227530Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.4227599Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4227662Z             {
2022-11-23T01:30:20.4227755Z                 auto tmp0 = out_ptr5[i1 + (8*i0)];
2022-11-23T01:30:20.4227840Z                 auto tmp1 = out_ptr8[i0];
2022-11-23T01:30:20.4227924Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4228018Z                 in_out_ptr2[i1 + (8*i0)] = tmp2;
2022-11-23T01:30:20.4228082Z             }
2022-11-23T01:30:20.4228131Z         }
2022-11-23T01:30:20.4228191Z     }
2022-11-23T01:30:20.4228250Z }
2022-11-23T01:30:20.4228331Z ''')
2022-11-23T01:30:20.4228337Z 
2022-11-23T01:30:20.4228343Z 
2022-11-23T01:30:20.4228432Z async_compile.wait(globals())
2022-11-23T01:30:20.4228503Z del async_compile
2022-11-23T01:30:20.4228508Z 
2022-11-23T01:30:20.4228576Z def call(args):
2022-11-23T01:30:20.4228639Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4228709Z     args.clear()
2022-11-23T01:30:20.4228907Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4229097Z     buf6 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4229283Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4229469Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4229655Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4229838Z     buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4230039Z     buf2 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4230223Z     buf5 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4230408Z     buf8 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4230491Z     buf9 = buf1; del buf1  # reuse
2022-11-23T01:30:20.4230574Z     buf10 = buf4; del buf4  # reuse
2022-11-23T01:30:20.4230654Z     buf11 = buf7; del buf7  # reuse
2022-11-23T01:30:20.4231004Z     kernel_cpp_0(c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:30:20.4231071Z     del arg0_1
2022-11-23T01:30:20.4231151Z     del arg1_1
2022-11-23T01:30:20.4231235Z     return (buf9, buf10, buf11, )
2022-11-23T01:30:20.4231241Z 
2022-11-23T01:30:20.4231245Z 
2022-11-23T01:30:20.4231321Z if __name__ == "__main__":
2022-11-23T01:30:20.4231436Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4231558Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4231752Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4231949Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4232064Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4232421Z [2022-11-23 01:27:27,301] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3q/c3qee4fx2znpy3vcfw6pixbj2xxmpjuv6oravdjvkodw3zn7mqbf.py
2022-11-23T01:30:20.4232687Z [2022-11-23 01:27:27,301] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 364
2022-11-23T01:30:20.4232695Z 
2022-11-23T01:30:20.4232762Z ok (1.651s)
2022-11-23T01:30:20.4233084Z   test_softmax_one_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4233395Z [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4233608Z [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4233964Z [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4234241Z [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4234558Z [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4234906Z [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4235216Z [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4235593Z [2022-11-23 01:27:27,307] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d113ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2345> 
2022-11-23T01:30:20.4235685Z  2346           0 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4235780Z                2 STORE_FAST               1 (dim)
2022-11-23T01:30:20.4235785Z 
2022-11-23T01:30:20.4235879Z 2347           4 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4235970Z                6 LOAD_ATTR                1 (amax)
2022-11-23T01:30:20.4236058Z                8 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4236150Z               10 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.4236241Z               12 LOAD_CONST               2 (True)
2022-11-23T01:30:20.4236415Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:30:20.4236507Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.4236598Z               18 STORE_FAST               2 (x_max)
2022-11-23T01:30:20.4236603Z 
2022-11-23T01:30:20.4236694Z 2348          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4236784Z               22 LOAD_METHOD              2 (exp)
2022-11-23T01:30:20.4236872Z               24 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4236959Z               26 LOAD_FAST                2 (x_max)
2022-11-23T01:30:20.4237027Z               28 BINARY_MULTIPLY
2022-11-23T01:30:20.4237112Z               30 CALL_METHOD              1
2022-11-23T01:30:20.4237215Z               32 STORE_FAST               3 (unnormalized)
2022-11-23T01:30:20.4237220Z 
2022-11-23T01:30:20.4237350Z 2349          34 LOAD_FAST                3 (unnormalized)
2022-11-23T01:30:20.4237442Z               36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4237532Z               38 LOAD_ATTR                3 (sum)
2022-11-23T01:30:20.4237632Z               40 LOAD_FAST                3 (unnormalized)
2022-11-23T01:30:20.4237718Z               42 LOAD_FAST                1 (dim)
2022-11-23T01:30:20.4237797Z               44 LOAD_CONST               2 (True)
2022-11-23T01:30:20.4237945Z               46 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:30:20.4238034Z               48 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.4238117Z               50 BINARY_TRUE_DIVIDE
2022-11-23T01:30:20.4238209Z               52 STORE_FAST               4 (result)
2022-11-23T01:30:20.4238214Z 
2022-11-23T01:30:20.4238303Z 2350          54 LOAD_FAST                4 (result)
2022-11-23T01:30:20.4238377Z               56 RETURN_VALUE
2022-11-23T01:30:20.4238425Z  
2022-11-23T01:30:20.4238430Z 
2022-11-23T01:30:20.4238751Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2346
2022-11-23T01:30:20.4238963Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 []
2022-11-23T01:30:20.4239215Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dim [ConstantVariable(int)]
2022-11-23T01:30:20.4239526Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2347
2022-11-23T01:30:20.4239739Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4240100Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4240415Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4240766Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4241154Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4241594Z [2022-11-23 01:27:27,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.4242066Z [2022-11-23 01:27:27,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method amax of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.4242296Z [2022-11-23 01:27:27,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x_max [TensorVariable()]
2022-11-23T01:30:20.4242636Z [2022-11-23 01:27:27,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2348
2022-11-23T01:30:20.4242855Z [2022-11-23 01:27:27,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4243216Z [2022-11-23 01:27:27,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4243533Z [2022-11-23 01:27:27,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4243880Z [2022-11-23 01:27:27,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x_max [TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4244298Z [2022-11-23 01:27:27,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4244640Z [2022-11-23 01:27:27,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4244899Z [2022-11-23 01:27:27,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST unnormalized [TensorVariable()]
2022-11-23T01:30:20.4245209Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2349
2022-11-23T01:30:20.4245435Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized []
2022-11-23T01:30:20.4245668Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.4246066Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4246430Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4246802Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4247216Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4247687Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.4248191Z [2022-11-23 01:27:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.4248476Z [2022-11-23 01:27:27,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4248721Z [2022-11-23 01:27:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST result [TensorVariable()]
2022-11-23T01:30:20.4249032Z [2022-11-23 01:27:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2350
2022-11-23T01:30:20.4249251Z [2022-11-23 01:27:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST result []
2022-11-23T01:30:20.4249524Z [2022-11-23 01:27:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4249905Z [2022-11-23 01:27:27,314] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d113ec0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2345>
2022-11-23T01:30:20.4250139Z [2022-11-23 01:27:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4250371Z [2022-11-23 01:27:27,314] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4250624Z [2022-11-23 01:27:27,315] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4250870Z [2022-11-23 01:27:27,319] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4251086Z [2022-11-23 01:27:27,320] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4251223Z  __compiled_fn_373 <eval_with_key>.3052 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4251314Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4251564Z call_function, amax, <built-in method amax of type object at 0x7ff5d7c59c60>, (ex_0_, 1), {'keepdim': True}
2022-11-23T01:30:20.4251727Z call_function, mul, <built-in function mul>, (ex_0_, amax), {}
2022-11-23T01:30:20.4251945Z call_function, exp, <built-in method exp of type object at 0x7ff5d7c59c60>, (mul,), {}
2022-11-23T01:30:20.4252189Z call_function, sum_1, <built-in method sum of type object at 0x7ff5d7c59c60>, (exp, 1), {'keepdim': True}
2022-11-23T01:30:20.4252381Z call_function, truediv, <built-in function truediv>, (exp, sum_1), {}
2022-11-23T01:30:20.4252483Z output, output, output, ((truediv,),), {}
2022-11-23T01:30:20.4252489Z 
2022-11-23T01:30:20.4252816Z [2022-11-23 01:27:27,320] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4252915Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4253006Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4253093Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4253172Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4253258Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4253347Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4253423Z              12 RETURN_VALUE
2022-11-23T01:30:20.4253428Z 
2022-11-23T01:30:20.4253491Z  
2022-11-23T01:30:20.4253813Z [2022-11-23 01:27:27,320] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4253923Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_373)
2022-11-23T01:30:20.4254003Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4254095Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4254172Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4254266Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4254356Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.4254431Z              12 RETURN_VALUE
2022-11-23T01:30:20.4254436Z 
2022-11-23T01:30:20.4254497Z  
2022-11-23T01:30:20.4254680Z [2022-11-23 01:27:27,321] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4254738Z  - 
2022-11-23T01:30:20.4254858Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4254921Z             {
2022-11-23T01:30:20.4255062Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4255249Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4255369Z                 'obj_weakref': None
2022-11-23T01:30:20.4255595Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4255649Z             }
2022-11-23T01:30:20.4255712Z             
2022-11-23T01:30:20.4255780Z  - 
2022-11-23T01:30:20.4255944Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4256006Z             {
2022-11-23T01:30:20.4256146Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4256239Z                 'code': None,
2022-11-23T01:30:20.4256571Z                 'obj_weakref': <weakref at 0x7ff57ff15a30; to 'Tensor' at 0x7ff59c206e80>
2022-11-23T01:30:20.4256826Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4256889Z             }
2022-11-23T01:30:20.4256952Z             
2022-11-23T01:30:20.4257020Z  - 
2022-11-23T01:30:20.4257149Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4257213Z             {
2022-11-23T01:30:20.4257333Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4257502Z                 'code': ['___check_obj_id(model, 140692657270368)'],
2022-11-23T01:30:20.4257690Z                 'obj_weakref': None
2022-11-23T01:30:20.4257924Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4257987Z             }
2022-11-23T01:30:20.4258049Z             
2022-11-23T01:30:20.4258117Z  - 
2022-11-23T01:30:20.4258225Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4258287Z             {
2022-11-23T01:30:20.4258420Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4258640Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4258756Z                 'obj_weakref': None
2022-11-23T01:30:20.4258979Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4259042Z             }
2022-11-23T01:30:20.4259091Z             
2022-11-23T01:30:20.4259159Z  - 
2022-11-23T01:30:20.4259291Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4259357Z             {
2022-11-23T01:30:20.4259475Z                 'guard_types': None,
2022-11-23T01:30:20.4259581Z                 'code': None,
2022-11-23T01:30:20.4259686Z                 'obj_weakref': None
2022-11-23T01:30:20.4259805Z                 'guarded_class': None
2022-11-23T01:30:20.4259867Z             }
2022-11-23T01:30:20.4259927Z             
2022-11-23T01:30:20.4260186Z [2022-11-23 01:27:27,328] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 365
2022-11-23T01:30:20.4260555Z [2022-11-23 01:27:28,781] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebsnyu6dvysaajri7hgzgvmp4rlhw6tkky6vdvq44cf7xsemkpy.py
2022-11-23T01:30:20.4260817Z [2022-11-23 01:27:28,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 365
2022-11-23T01:30:20.4260823Z 
2022-11-23T01:30:20.4260913Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4260970Z import torch
2022-11-23T01:30:20.4261039Z import random
2022-11-23T01:30:20.4261151Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4261270Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4261278Z 
2022-11-23T01:30:20.4261353Z aten = torch.ops.aten
2022-11-23T01:30:20.4261484Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4261575Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4261580Z 
2022-11-23T01:30:20.4261585Z 
2022-11-23T01:30:20.4261715Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4261907Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4262022Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.4262125Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4262223Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4262317Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.4262382Z {
2022-11-23T01:30:20.4262467Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.4262551Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4262611Z     {
2022-11-23T01:30:20.4262724Z         #pragma omp for 
2022-11-23T01:30:20.4262807Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.4262868Z         {
2022-11-23T01:30:20.4262930Z             {
2022-11-23T01:30:20.4263308Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:30:20.4263523Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.4263631Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.4263719Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.4263783Z                 {
2022-11-23T01:30:20.4263927Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4264071Z                     tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2022-11-23T01:30:20.4264137Z                 }
2022-11-23T01:30:20.4264347Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2022-11-23T01:30:20.4264465Z                 #pragma omp simd simdlen(4)  reduction(max:tmp1)
2022-11-23T01:30:20.4264543Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:30:20.4264606Z                 {
2022-11-23T01:30:20.4264702Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:20.4264799Z                     tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:30:20.4264861Z                 }
2022-11-23T01:30:20.4264940Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.4265001Z             }
2022-11-23T01:30:20.4265051Z         }
2022-11-23T01:30:20.4265126Z         #pragma omp for 
2022-11-23T01:30:20.4265207Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.4265269Z         {
2022-11-23T01:30:20.4265331Z             {
2022-11-23T01:30:20.4265517Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4265594Z                 float tmp4 = 0;
2022-11-23T01:30:20.4265712Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:30:20.4265788Z                 for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.4265851Z                 {
2022-11-23T01:30:20.4265990Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4266114Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:20.4266205Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4266293Z                     auto tmp3 = tmp2.exp();
2022-11-23T01:30:20.4266395Z                     tmp3.store(out_ptr1 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4266466Z                     tmp4_vec += tmp3;
2022-11-23T01:30:20.4266530Z                 }
2022-11-23T01:30:20.4266724Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:30:20.4266841Z                 #pragma omp simd simdlen(4)  reduction(+:tmp4)
2022-11-23T01:30:20.4266932Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:30:20.4266996Z                 {
2022-11-23T01:30:20.4267093Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:20.4267184Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:30:20.4267261Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4267356Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:30:20.4267448Z                     out_ptr1[i1 + (32*i0)] = tmp3;
2022-11-23T01:30:20.4267523Z                     tmp4 += tmp3;
2022-11-23T01:30:20.4267587Z                 }
2022-11-23T01:30:20.4267669Z                 out_ptr2[i0] = tmp4;
2022-11-23T01:30:20.4267730Z             }
2022-11-23T01:30:20.4267780Z         }
2022-11-23T01:30:20.4267855Z         #pragma omp for 
2022-11-23T01:30:20.4267962Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.4268025Z         {
2022-11-23T01:30:20.4268107Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.4268168Z             {
2022-11-23T01:30:20.4268305Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4268416Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:30:20.4268501Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4268606Z                 tmp2.store(in_out_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4268670Z             }
2022-11-23T01:30:20.4268759Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.4268842Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:30:20.4268904Z             {
2022-11-23T01:30:20.4269014Z                 auto tmp0 = out_ptr1[i1 + (32*i0)];
2022-11-23T01:30:20.4269099Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:30:20.4269183Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4269276Z                 in_out_ptr0[i1 + (32*i0)] = tmp2;
2022-11-23T01:30:20.4269338Z             }
2022-11-23T01:30:20.4269399Z         }
2022-11-23T01:30:20.4269459Z     }
2022-11-23T01:30:20.4269507Z }
2022-11-23T01:30:20.4269586Z ''')
2022-11-23T01:30:20.4269591Z 
2022-11-23T01:30:20.4269595Z 
2022-11-23T01:30:20.4269683Z async_compile.wait(globals())
2022-11-23T01:30:20.4269755Z del async_compile
2022-11-23T01:30:20.4269760Z 
2022-11-23T01:30:20.4269828Z def call(args):
2022-11-23T01:30:20.4269895Z     arg0_1, = args
2022-11-23T01:30:20.4269967Z     args.clear()
2022-11-23T01:30:20.4270152Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4270349Z     buf1 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4270543Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4270626Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:30:20.4270815Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.4270883Z     del arg0_1
2022-11-23T01:30:20.4270953Z     return (buf3, )
2022-11-23T01:30:20.4270958Z 
2022-11-23T01:30:20.4270962Z 
2022-11-23T01:30:20.4271035Z if __name__ == "__main__":
2022-11-23T01:30:20.4271136Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4271256Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4271452Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4271561Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4271566Z 
2022-11-23T01:30:20.4271632Z ok (1.480s)
2022-11-23T01:30:20.4271929Z   test_sort_cpu (__main__.CpuTests) ... [2022-11-23 01:27:28,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4272248Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4272463Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4272714Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4272976Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4273294Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4273639Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4274082Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4274465Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e0c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091> 
2022-11-23T01:30:20.4274562Z  3092           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4274654Z                2 LOAD_METHOD              1 (sort)
2022-11-23T01:30:20.4274744Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4274832Z                6 CALL_METHOD              1
2022-11-23T01:30:20.4274895Z                8 RETURN_VALUE
2022-11-23T01:30:20.4274956Z  
2022-11-23T01:30:20.4274961Z 
2022-11-23T01:30:20.4275273Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3092
2022-11-23T01:30:20.4275523Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4275887Z [2022-11-23 01:27:28,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4276206Z [2022-11-23 01:27:28,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sort of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4276555Z [2022-11-23 01:27:28,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sort of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4276810Z [2022-11-23 01:27:28,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:30:20.4277187Z [2022-11-23 01:27:28,789] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e0c90, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3091>
2022-11-23T01:30:20.4277445Z [2022-11-23 01:27:28,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:30:20.4277665Z [2022-11-23 01:27:28,789] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4277918Z [2022-11-23 01:27:28,791] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4278169Z [2022-11-23 01:27:28,793] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4278355Z [2022-11-23 01:27:28,793] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4278487Z  __compiled_fn_374 <eval_with_key>.3058 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4278576Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4278798Z call_function, sort, <built-in method sort of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.4278984Z call_function, getitem, <built-in function getitem>, (sort, 0), {}
2022-11-23T01:30:20.4279161Z call_function, getitem_1, <built-in function getitem>, (sort, 1), {}
2022-11-23T01:30:20.4279271Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.4279277Z 
2022-11-23T01:30:20.4279596Z [2022-11-23 01:27:28,793] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4279688Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4279777Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4279862Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4279954Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4280037Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4280112Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4280186Z              12 RETURN_VALUE
2022-11-23T01:30:20.4280193Z 
2022-11-23T01:30:20.4280252Z  
2022-11-23T01:30:20.4280599Z [2022-11-23 01:27:28,794] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4280706Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_374)
2022-11-23T01:30:20.4280795Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4280883Z               4 LOAD_CONST               2 (0)
2022-11-23T01:30:20.4280958Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4281034Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4281136Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4281325Z              12 LOAD_CONST               1 (<class 'torch.return_types.sort'>)
2022-11-23T01:30:20.4281425Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4281516Z              16 LOAD_CONST               2 (0)
2022-11-23T01:30:20.4281591Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.4281717Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4281793Z              22 LOAD_CONST               3 (1)
2022-11-23T01:30:20.4281869Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.4281955Z              26 BUILD_TUPLE              2
2022-11-23T01:30:20.4282041Z              28 CALL_FUNCTION            1
2022-11-23T01:30:20.4282113Z              30 RETURN_VALUE
2022-11-23T01:30:20.4282118Z 
2022-11-23T01:30:20.4282178Z  
2022-11-23T01:30:20.4282360Z [2022-11-23 01:27:28,794] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4282416Z  - 
2022-11-23T01:30:20.4282533Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4282595Z             {
2022-11-23T01:30:20.4282734Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4282917Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4283038Z                 'obj_weakref': None
2022-11-23T01:30:20.4283264Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4283327Z             }
2022-11-23T01:30:20.4283377Z             
2022-11-23T01:30:20.4283446Z  - 
2022-11-23T01:30:20.4283567Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4283628Z             {
2022-11-23T01:30:20.4283768Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4283876Z                 'code': None,
2022-11-23T01:30:20.4284075Z                 'obj_weakref': <weakref at 0x7ff58ff15f30; to 'Tensor' at 0x7ff59c0c7470>
2022-11-23T01:30:20.4284329Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4284390Z             }
2022-11-23T01:30:20.4284453Z             
2022-11-23T01:30:20.4284522Z  - 
2022-11-23T01:30:20.4284650Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4284712Z             {
2022-11-23T01:30:20.4284833Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4285001Z                 'code': ['___check_obj_id(model, 140692659574752)'],
2022-11-23T01:30:20.4285116Z                 'obj_weakref': None
2022-11-23T01:30:20.4285344Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4285409Z             }
2022-11-23T01:30:20.4285470Z             
2022-11-23T01:30:20.4285540Z  - 
2022-11-23T01:30:20.4285648Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4285715Z             {
2022-11-23T01:30:20.4285851Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4286067Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4286184Z                 'obj_weakref': None
2022-11-23T01:30:20.4286402Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4286467Z             }
2022-11-23T01:30:20.4286533Z             
2022-11-23T01:30:20.4286593Z  - 
2022-11-23T01:30:20.4286726Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4286789Z             {
2022-11-23T01:30:20.4286910Z                 'guard_types': None,
2022-11-23T01:30:20.4287043Z                 'code': None,
2022-11-23T01:30:20.4287162Z                 'obj_weakref': None
2022-11-23T01:30:20.4287270Z                 'guarded_class': None
2022-11-23T01:30:20.4287333Z             }
2022-11-23T01:30:20.4287396Z             
2022-11-23T01:30:20.4287655Z [2022-11-23 01:27:28,799] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 366
2022-11-23T01:30:20.4287869Z [2022-11-23 01:27:28,800] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort
2022-11-23T01:30:20.4288232Z [2022-11-23 01:27:28,802] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3k/c3ks4se5ezthwctf3vtmdt7dxxmawfqebkdpul4iz4f5xm5adfwe.py
2022-11-23T01:30:20.4288494Z [2022-11-23 01:27:28,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 366
2022-11-23T01:30:20.4288525Z 
2022-11-23T01:30:20.4288620Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4288676Z import torch
2022-11-23T01:30:20.4288747Z import random
2022-11-23T01:30:20.4288863Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4288983Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4288988Z 
2022-11-23T01:30:20.4289067Z aten = torch.ops.aten
2022-11-23T01:30:20.4289202Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4289294Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4289299Z 
2022-11-23T01:30:20.4289304Z 
2022-11-23T01:30:20.4289392Z async_compile.wait(globals())
2022-11-23T01:30:20.4289452Z del async_compile
2022-11-23T01:30:20.4289457Z 
2022-11-23T01:30:20.4289529Z def call(args):
2022-11-23T01:30:20.4289597Z     arg0_1, = args
2022-11-23T01:30:20.4289672Z     args.clear()
2022-11-23T01:30:20.4289754Z     buf0 = aten.sort(arg0_1)
2022-11-23T01:30:20.4289824Z     del arg0_1
2022-11-23T01:30:20.4289892Z     buf1 = buf0[0]
2022-11-23T01:30:20.4289984Z     assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:30:20.4290055Z     buf2 = buf0[1]
2022-11-23T01:30:20.4290160Z     assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:30:20.4290227Z     del buf0
2022-11-23T01:30:20.4290306Z     return (buf1, buf2, )
2022-11-23T01:30:20.4290311Z 
2022-11-23T01:30:20.4290315Z 
2022-11-23T01:30:20.4290392Z if __name__ == "__main__":
2022-11-23T01:30:20.4290505Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4290615Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4290829Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4290937Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4290941Z 
2022-11-23T01:30:20.4291010Z ok (0.021s)
2022-11-23T01:30:20.4291311Z   test_split_cpu (__main__.CpuTests) ... [2022-11-23 01:27:28,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4291632Z [2022-11-23 01:27:28,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4291847Z [2022-11-23 01:27:28,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4292096Z [2022-11-23 01:27:28,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4292371Z [2022-11-23 01:27:28,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4292690Z [2022-11-23 01:27:28,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4293019Z [2022-11-23 01:27:28,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4293368Z [2022-11-23 01:27:28,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4293743Z [2022-11-23 01:27:28,807] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1100e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:30:20.4293839Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4293934Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:30:20.4294023Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4294110Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:20.4294246Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4294321Z               10 CALL_METHOD              3
2022-11-23T01:30:20.4294413Z               12 STORE_FAST               1 (t)
2022-11-23T01:30:20.4294455Z 
2022-11-23T01:30:20.4294545Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4294632Z               16 LOAD_CONST               3 (0)
2022-11-23T01:30:20.4294711Z               18 BINARY_SUBSCR
2022-11-23T01:30:20.4294798Z               20 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4294882Z               22 LOAD_CONST               4 (1)
2022-11-23T01:30:20.4294957Z               24 BINARY_SUBSCR
2022-11-23T01:30:20.4295030Z               26 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4295113Z               28 LOAD_CONST               5 (2)
2022-11-23T01:30:20.4295188Z               30 BINARY_SUBSCR
2022-11-23T01:30:20.4295273Z               32 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4295356Z               34 LOAD_CONST               1 (3)
2022-11-23T01:30:20.4295431Z               36 BINARY_SUBSCR
2022-11-23T01:30:20.4295518Z               38 BUILD_TUPLE              4
2022-11-23T01:30:20.4295580Z               40 RETURN_VALUE
2022-11-23T01:30:20.4295639Z  
2022-11-23T01:30:20.4295646Z 
2022-11-23T01:30:20.4295958Z [2022-11-23 01:27:28,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T01:30:20.4296177Z [2022-11-23 01:27:28,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4296660Z [2022-11-23 01:27:28,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4296952Z [2022-11-23 01:27:28,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7ff5aed91000>)]
2022-11-23T01:30:20.4297266Z [2022-11-23 01:27:28,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable()]
2022-11-23T01:30:20.4297616Z [2022-11-23 01:27:28,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4298014Z [2022-11-23 01:27:28,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4298251Z [2022-11-23 01:27:28,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:30:20.4298552Z [2022-11-23 01:27:28,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T01:30:20.4298761Z [2022-11-23 01:27:28,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:30:20.4298997Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:30:20.4299279Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4299513Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:30:20.4304614Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4304981Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4305255Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4305555Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4305898Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4306190Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4306547Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4306917Z [2022-11-23 01:27:28,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4307240Z [2022-11-23 01:27:28,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4307489Z [2022-11-23 01:27:28,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4307873Z [2022-11-23 01:27:28,812] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1100e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T01:30:20.4308122Z [2022-11-23 01:27:28,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4308359Z [2022-11-23 01:27:28,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4308618Z [2022-11-23 01:27:28,814] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4308868Z [2022-11-23 01:27:28,818] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4309058Z [2022-11-23 01:27:28,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4309181Z  __compiled_fn_375 <eval_with_key>.3064 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4309272Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4309475Z call_function, split, <function split at 0x7ff5aed91000>, (ex_0_, 3, -1), {}
2022-11-23T01:30:20.4309665Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:30:20.4309859Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:30:20.4310050Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:30:20.4310233Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:30:20.4310368Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:30:20.4310375Z 
2022-11-23T01:30:20.4310689Z [2022-11-23 01:27:28,819] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4310787Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4310878Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4310965Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4311058Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4311143Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4311233Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4311310Z              12 RETURN_VALUE
2022-11-23T01:30:20.4311315Z 
2022-11-23T01:30:20.4311391Z  
2022-11-23T01:30:20.4311714Z [2022-11-23 01:27:28,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4311821Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_375)
2022-11-23T01:30:20.4311912Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4312002Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4312078Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4312168Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4312257Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4312359Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4312448Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4312556Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4312656Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4312746Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4312823Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4312910Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4312999Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4313076Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4313176Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4313263Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.4313338Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.4313425Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.4313499Z              38 RETURN_VALUE
2022-11-23T01:30:20.4313504Z 
2022-11-23T01:30:20.4313553Z  
2022-11-23T01:30:20.4313733Z [2022-11-23 01:27:28,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4313898Z  - 
2022-11-23T01:30:20.4314024Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4314090Z             {
2022-11-23T01:30:20.4314235Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4314423Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4314530Z                 'obj_weakref': None
2022-11-23T01:30:20.4314755Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4314820Z             }
2022-11-23T01:30:20.4314883Z             
2022-11-23T01:30:20.4314951Z  - 
2022-11-23T01:30:20.4315075Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4315139Z             {
2022-11-23T01:30:20.4315269Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4315376Z                 'code': None,
2022-11-23T01:30:20.4315588Z                 'obj_weakref': <weakref at 0x7ff58fd52520; to 'Tensor' at 0x7ff5a8542390>
2022-11-23T01:30:20.4315844Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4315908Z             }
2022-11-23T01:30:20.4315973Z             
2022-11-23T01:30:20.4316043Z  - 
2022-11-23T01:30:20.4316161Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4316224Z             {
2022-11-23T01:30:20.4316358Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4316527Z                 'code': ['___check_obj_id(model, 140692658922992)'],
2022-11-23T01:30:20.4316645Z                 'obj_weakref': None
2022-11-23T01:30:20.4316875Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4316940Z             }
2022-11-23T01:30:20.4316991Z             
2022-11-23T01:30:20.4317064Z  - 
2022-11-23T01:30:20.4317185Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4317248Z             {
2022-11-23T01:30:20.4317385Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4317604Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4317721Z                 'obj_weakref': None
2022-11-23T01:30:20.4317965Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4318029Z             }
2022-11-23T01:30:20.4318090Z             
2022-11-23T01:30:20.4318160Z  - 
2022-11-23T01:30:20.4318292Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4318357Z             {
2022-11-23T01:30:20.4318480Z                 'guard_types': None,
2022-11-23T01:30:20.4318574Z                 'code': None,
2022-11-23T01:30:20.4318691Z                 'obj_weakref': None
2022-11-23T01:30:20.4318811Z                 'guarded_class': None
2022-11-23T01:30:20.4318871Z             }
2022-11-23T01:30:20.4318934Z             
2022-11-23T01:30:20.4319192Z [2022-11-23 01:27:28,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 367
2022-11-23T01:30:20.4319583Z [2022-11-23 01:27:28,828] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6c/c6c35spbl3r26i4haohomu7ikok6tym65y4ntemcmkuccbs3ifz6.py
2022-11-23T01:30:20.4319837Z [2022-11-23 01:27:28,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 367
2022-11-23T01:30:20.4320073Z [2022-11-23 01:27:28,831] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4320390Z [2022-11-23 01:27:28,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4320607Z [2022-11-23 01:27:28,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4320859Z [2022-11-23 01:27:28,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4321135Z [2022-11-23 01:27:28,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4321456Z [2022-11-23 01:27:28,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4321799Z [2022-11-23 01:27:28,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4322120Z [2022-11-23 01:27:28,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4322494Z [2022-11-23 01:27:28,832] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d110190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709> 
2022-11-23T01:30:20.4322576Z  1710           0 LOAD_DEREF               0 (fn)
2022-11-23T01:30:20.4322670Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4322763Z                4 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4322838Z                6 BINARY_ADD
2022-11-23T01:30:20.4322929Z                8 CALL_FUNCTION            1
2022-11-23T01:30:20.4323005Z               10 RETURN_VALUE
2022-11-23T01:30:20.4323066Z  
2022-11-23T01:30:20.4323072Z 
2022-11-23T01:30:20.4323385Z [2022-11-23 01:27:28,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1710
2022-11-23T01:30:20.4323584Z [2022-11-23 01:27:28,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:30:20.4323833Z [2022-11-23 01:27:28,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [UserFunctionVariable()]
2022-11-23T01:30:20.4324110Z [2022-11-23 01:27:28,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.4324431Z [2022-11-23 01:27:28,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [UserFunctionVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4324741Z [2022-11-23 01:27:28,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:30:20.4325116Z [2022-11-23 01:27:28,833] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1100e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:30:20.4325213Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4325308Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:30:20.4325400Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4325476Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:20.4325614Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4325702Z               10 CALL_METHOD              3
2022-11-23T01:30:20.4325793Z               12 STORE_FAST               1 (t)
2022-11-23T01:30:20.4325799Z 
2022-11-23T01:30:20.4325917Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4326004Z               16 LOAD_CONST               3 (0)
2022-11-23T01:30:20.4326083Z               18 BINARY_SUBSCR
2022-11-23T01:30:20.4326158Z               20 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4326247Z               22 LOAD_CONST               4 (1)
2022-11-23T01:30:20.4326323Z               24 BINARY_SUBSCR
2022-11-23T01:30:20.4326409Z               26 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4326495Z               28 LOAD_CONST               5 (2)
2022-11-23T01:30:20.4326572Z               30 BINARY_SUBSCR
2022-11-23T01:30:20.4326658Z               32 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4326731Z               34 LOAD_CONST               1 (3)
2022-11-23T01:30:20.4326807Z               36 BINARY_SUBSCR
2022-11-23T01:30:20.4326897Z               38 BUILD_TUPLE              4
2022-11-23T01:30:20.4326972Z               40 RETURN_VALUE
2022-11-23T01:30:20.4327034Z  
2022-11-23T01:30:20.4327041Z 
2022-11-23T01:30:20.4327356Z [2022-11-23 01:27:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1706
2022-11-23T01:30:20.4327580Z [2022-11-23 01:27:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4327951Z [2022-11-23 01:27:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4328237Z [2022-11-23 01:27:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7ff5aed91000>)]
2022-11-23T01:30:20.4328538Z [2022-11-23 01:27:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable()]
2022-11-23T01:30:20.4328888Z [2022-11-23 01:27:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4329286Z [2022-11-23 01:27:28,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4329522Z [2022-11-23 01:27:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:30:20.4329837Z [2022-11-23 01:27:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1707
2022-11-23T01:30:20.4330047Z [2022-11-23 01:27:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:30:20.4330286Z [2022-11-23 01:27:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:30:20.4330567Z [2022-11-23 01:27:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4330804Z [2022-11-23 01:27:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:30:20.4331096Z [2022-11-23 01:27:28,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4331395Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4331658Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4331948Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4332287Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4332575Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4332920Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:30:20.4333283Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4333606Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4333850Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4334227Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1100e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1705>
2022-11-23T01:30:20.4334473Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4334848Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d110190, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1709>
2022-11-23T01:30:20.4335075Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4335309Z [2022-11-23 01:27:28,838] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4335563Z [2022-11-23 01:27:28,840] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4335813Z [2022-11-23 01:27:28,844] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4336004Z [2022-11-23 01:27:28,845] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4336140Z  __compiled_fn_376 <eval_with_key>.3070 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4336232Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4336522Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4336709Z call_function, split, <function split at 0x7ff5aed91000>, (add, 3, -1), {}
2022-11-23T01:30:20.4336898Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:30:20.4337086Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:30:20.4337272Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:30:20.4337454Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:30:20.4337591Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:30:20.4337597Z 
2022-11-23T01:30:20.4337926Z [2022-11-23 01:27:28,845] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4338023Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4338146Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4338235Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4338327Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4338412Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4338502Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4338578Z              12 RETURN_VALUE
2022-11-23T01:30:20.4338583Z 
2022-11-23T01:30:20.4338646Z  
2022-11-23T01:30:20.4338972Z [2022-11-23 01:27:28,845] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4339069Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_376)
2022-11-23T01:30:20.4339162Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4339289Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4339368Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4339455Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4339561Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4339691Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.4339776Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.4339862Z              16 CALL_FUNCTION            0
2022-11-23T01:30:20.4339957Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.4340056Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4340145Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4340221Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.4340324Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4340413Z              28 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4340480Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.4340582Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4340675Z              34 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4340749Z              36 BINARY_SUBSCR
2022-11-23T01:30:20.4340849Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4340936Z              40 LOAD_CONST               4 (3)
2022-11-23T01:30:20.4341011Z              42 BINARY_SUBSCR
2022-11-23T01:30:20.4341085Z              44 BUILD_TUPLE              4
2022-11-23T01:30:20.4341178Z              46 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4341276Z              48 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.4341364Z              50 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4341440Z              52 BINARY_SUBSCR
2022-11-23T01:30:20.4341541Z              54 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.4341632Z              56 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4341718Z              58 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.4341804Z              60 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4341881Z              62 BINARY_SUBSCR
2022-11-23T01:30:20.4341981Z              64 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.4342054Z              66 RETURN_VALUE
2022-11-23T01:30:20.4342059Z 
2022-11-23T01:30:20.4342121Z  
2022-11-23T01:30:20.4342306Z [2022-11-23 01:27:28,846] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4342363Z  - 
2022-11-23T01:30:20.4342484Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4342549Z             {
2022-11-23T01:30:20.4342690Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4342877Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4342997Z                 'obj_weakref': None
2022-11-23T01:30:20.4343222Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4343275Z             }
2022-11-23T01:30:20.4343340Z             
2022-11-23T01:30:20.4343410Z  - 
2022-11-23T01:30:20.4343562Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4343627Z             {
2022-11-23T01:30:20.4343769Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4343877Z                 'code': None,
2022-11-23T01:30:20.4344074Z                 'obj_weakref': <weakref at 0x7ff5a8503380; to 'Tensor' at 0x7ff5a8542390>
2022-11-23T01:30:20.4344329Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4344393Z             }
2022-11-23T01:30:20.4344456Z             
2022-11-23T01:30:20.4344527Z  - 
2022-11-23T01:30:20.4344655Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4344717Z             {
2022-11-23T01:30:20.4344837Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4345004Z                 'code': ['___check_obj_id(model, 140692658922704)'],
2022-11-23T01:30:20.4345154Z                 'obj_weakref': None
2022-11-23T01:30:20.4345384Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4345448Z             }
2022-11-23T01:30:20.4345511Z             
2022-11-23T01:30:20.4345582Z  - 
2022-11-23T01:30:20.4345691Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4345755Z             {
2022-11-23T01:30:20.4345889Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4346106Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4346223Z                 'obj_weakref': None
2022-11-23T01:30:20.4346445Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4346507Z             }
2022-11-23T01:30:20.4346557Z             
2022-11-23T01:30:20.4346625Z  - 
2022-11-23T01:30:20.4346808Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:30:20.4346871Z             {
2022-11-23T01:30:20.4347003Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4347219Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140692658922992)'],
2022-11-23T01:30:20.4347338Z                 'obj_weakref': None
2022-11-23T01:30:20.4347567Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4347617Z             }
2022-11-23T01:30:20.4347679Z             
2022-11-23T01:30:20.4347748Z  - 
2022-11-23T01:30:20.4347879Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4347941Z             {
2022-11-23T01:30:20.4348060Z                 'guard_types': None,
2022-11-23T01:30:20.4348153Z                 'code': None,
2022-11-23T01:30:20.4348270Z                 'obj_weakref': None
2022-11-23T01:30:20.4348390Z                 'guarded_class': None
2022-11-23T01:30:20.4348455Z             }
2022-11-23T01:30:20.4348517Z             
2022-11-23T01:30:20.4348779Z [2022-11-23 01:27:28,853] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 368
2022-11-23T01:30:20.4349145Z [2022-11-23 01:27:30,271] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lf/clf43i3cdz5jpryqrw2rl5456xscwru22sfv2rclivnrx5lz57iy.py
2022-11-23T01:30:20.4349407Z [2022-11-23 01:27:30,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 368
2022-11-23T01:30:20.4349413Z 
2022-11-23T01:30:20.4349494Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4349563Z import torch
2022-11-23T01:30:20.4349632Z import random
2022-11-23T01:30:20.4349745Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4349866Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4349871Z 
2022-11-23T01:30:20.4349953Z aten = torch.ops.aten
2022-11-23T01:30:20.4350086Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4350167Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4350186Z 
2022-11-23T01:30:20.4350191Z 
2022-11-23T01:30:20.4350265Z async_compile.wait(globals())
2022-11-23T01:30:20.4350376Z del async_compile
2022-11-23T01:30:20.4350382Z 
2022-11-23T01:30:20.4350454Z def call(args):
2022-11-23T01:30:20.4350522Z     arg0_1, = args
2022-11-23T01:30:20.4350593Z     args.clear()
2022-11-23T01:30:20.4350784Z     return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), )
2022-11-23T01:30:20.4350790Z 
2022-11-23T01:30:20.4350794Z 
2022-11-23T01:30:20.4350870Z if __name__ == "__main__":
2022-11-23T01:30:20.4350983Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4351092Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4351301Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4351436Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4351441Z 
2022-11-23T01:30:20.4351445Z 
2022-11-23T01:30:20.4351541Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4351610Z import torch
2022-11-23T01:30:20.4351680Z import random
2022-11-23T01:30:20.4351794Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4351913Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4351917Z 
2022-11-23T01:30:20.4351982Z aten = torch.ops.aten
2022-11-23T01:30:20.4352114Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4352205Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4352210Z 
2022-11-23T01:30:20.4352214Z 
2022-11-23T01:30:20.4352349Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4352554Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4352673Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4352775Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.4352837Z {
2022-11-23T01:30:20.4352922Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4352987Z     {
2022-11-23T01:30:20.4353064Z         #pragma omp for 
2022-11-23T01:30:20.4353147Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:30:20.4353211Z         {
2022-11-23T01:30:20.4353355Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4353490Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.4353563Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4353653Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4353720Z         }
2022-11-23T01:30:20.4353892Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4353980Z         for(long i0=40; i0<40; i0+=1)
2022-11-23T01:30:20.4354043Z         {
2022-11-23T01:30:20.4354126Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4354216Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.4354299Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4354380Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.4354444Z         }
2022-11-23T01:30:20.4354506Z     }
2022-11-23T01:30:20.4354566Z }
2022-11-23T01:30:20.4354637Z ''')
2022-11-23T01:30:20.4354655Z 
2022-11-23T01:30:20.4354659Z 
2022-11-23T01:30:20.4354735Z async_compile.wait(globals())
2022-11-23T01:30:20.4354808Z del async_compile
2022-11-23T01:30:20.4354813Z 
2022-11-23T01:30:20.4354886Z def call(args):
2022-11-23T01:30:20.4354955Z     arg0_1, = args
2022-11-23T01:30:20.4355026Z     args.clear()
2022-11-23T01:30:20.4355231Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4355363Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4355419Z     del arg0_1
2022-11-23T01:30:20.4355603Z     return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), )
2022-11-23T01:30:20.4355611Z 
2022-11-23T01:30:20.4355615Z 
2022-11-23T01:30:20.4355730Z if __name__ == "__main__":
2022-11-23T01:30:20.4355846Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4355968Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4356174Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4356279Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4356284Z 
2022-11-23T01:30:20.4356350Z ok (1.469s)
2022-11-23T01:30:20.4356666Z   test_split_with_sizes_cpu (__main__.CpuTests) ... [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4356968Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4357215Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4357471Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4357747Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4358064Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4358407Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4358728Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4359100Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16be10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:30:20.4359322Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:30:20.4359575Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:30:20.4359667Z                4 MAKE_FUNCTION            0
2022-11-23T01:30:20.4359751Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4359843Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:30:20.4359936Z               10 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4360028Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:30:20.4360110Z               14 BINARY_MULTIPLY
2022-11-23T01:30:20.4360213Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:30:20.4360413Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:30:20.4360525Z               20 CALL_METHOD              3
2022-11-23T01:30:20.4360596Z               22 GET_ITER
2022-11-23T01:30:20.4360687Z               24 CALL_FUNCTION            1
2022-11-23T01:30:20.4360764Z               26 RETURN_VALUE
2022-11-23T01:30:20.4360827Z  
2022-11-23T01:30:20.4360832Z 
2022-11-23T01:30:20.4361151Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:30:20.4361549Z [2022-11-23 01:27:30,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:30:20.4361901Z [2022-11-23 01:27:30,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:30:20.4362181Z [2022-11-23 01:27:30,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:30:20.4362510Z [2022-11-23 01:27:30,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:30:20.4362936Z [2022-11-23 01:27:30,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4363278Z [2022-11-23 01:27:30,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>)]
2022-11-23T01:30:20.4363649Z [2022-11-23 01:27:30,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable()]
2022-11-23T01:30:20.4364112Z [2022-11-23 01:27:30,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4364487Z [2022-11-23 01:27:30,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable()]
2022-11-23T01:30:20.4364886Z [2022-11-23 01:27:30,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.4365324Z [2022-11-23 01:27:30,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4365619Z [2022-11-23 01:27:30,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4365933Z [2022-11-23 01:27:30,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4366321Z [2022-11-23 01:27:30,282] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:30:20.4366412Z  1698           0 BUILD_LIST               0
2022-11-23T01:30:20.4366490Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:30:20.4366584Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:30:20.4366675Z                6 STORE_FAST               1 (t)
2022-11-23T01:30:20.4366764Z                8 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4366855Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:30:20.4366929Z               12 BINARY_ADD
2022-11-23T01:30:20.4367023Z               14 LIST_APPEND              2
2022-11-23T01:30:20.4367106Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:30:20.4367181Z          >>   18 RETURN_VALUE
2022-11-23T01:30:20.4367245Z  
2022-11-23T01:30:20.4367250Z 
2022-11-23T01:30:20.4367463Z [2022-11-23 01:27:30,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:30:20.4367698Z [2022-11-23 01:27:30,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:30:20.4367971Z [2022-11-23 01:27:30,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4368275Z [2022-11-23 01:27:30,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4368548Z [2022-11-23 01:27:30,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4368852Z [2022-11-23 01:27:30,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4369214Z [2022-11-23 01:27:30,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4369520Z [2022-11-23 01:27:30,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4369800Z [2022-11-23 01:27:30,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4370070Z [2022-11-23 01:27:30,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4370370Z [2022-11-23 01:27:30,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4370639Z [2022-11-23 01:27:30,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4370974Z [2022-11-23 01:27:30,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4371319Z [2022-11-23 01:27:30,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4371625Z [2022-11-23 01:27:30,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4371905Z [2022-11-23 01:27:30,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4372173Z [2022-11-23 01:27:30,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4372461Z [2022-11-23 01:27:30,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4372735Z [2022-11-23 01:27:30,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4373037Z [2022-11-23 01:27:30,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4373381Z [2022-11-23 01:27:30,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4373683Z [2022-11-23 01:27:30,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4373959Z [2022-11-23 01:27:30,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4374229Z [2022-11-23 01:27:30,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4374473Z [2022-11-23 01:27:30,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4374867Z [2022-11-23 01:27:30,286] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:30:20.4375106Z [2022-11-23 01:27:30,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4375480Z [2022-11-23 01:27:30,286] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16be10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:30:20.4375708Z [2022-11-23 01:27:30,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4375941Z [2022-11-23 01:27:30,287] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4376224Z [2022-11-23 01:27:30,288] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4376599Z [2022-11-23 01:27:30,293] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4376789Z [2022-11-23 01:27:30,294] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4376924Z  __compiled_fn_377 <eval_with_key>.3076 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4377015Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4377189Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:30:20.4377383Z call_function, split, <function split at 0x7ff5aed91000>, (mul, [3, 3, 4], -1), {}
2022-11-23T01:30:20.4377570Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:30:20.4377757Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:30:20.4377989Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:30:20.4378170Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:30:20.4378353Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:30:20.4378529Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:30:20.4378640Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:30:20.4378647Z 
2022-11-23T01:30:20.4378961Z [2022-11-23 01:27:30,294] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4379055Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4379145Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4379231Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4379323Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4379410Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4379497Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4379574Z              12 RETURN_VALUE
2022-11-23T01:30:20.4379581Z 
2022-11-23T01:30:20.4379629Z  
2022-11-23T01:30:20.4379953Z [2022-11-23 01:27:30,294] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4380063Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_377)
2022-11-23T01:30:20.4380153Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4380245Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4380324Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4380411Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4380501Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4380607Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4380698Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4380776Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4380877Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4380967Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4381043Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4381143Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4381220Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4381294Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4381381Z              30 BUILD_LIST               3
2022-11-23T01:30:20.4381459Z              32 RETURN_VALUE
2022-11-23T01:30:20.4381464Z 
2022-11-23T01:30:20.4381524Z  
2022-11-23T01:30:20.4381705Z [2022-11-23 01:27:30,295] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4381775Z  - 
2022-11-23T01:30:20.4381882Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4381946Z             {
2022-11-23T01:30:20.4382085Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4382274Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4382391Z                 'obj_weakref': None
2022-11-23T01:30:20.4382647Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4382715Z             }
2022-11-23T01:30:20.4382765Z             
2022-11-23T01:30:20.4382835Z  - 
2022-11-23T01:30:20.4382960Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4383024Z             {
2022-11-23T01:30:20.4383169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4383275Z                 'code': None,
2022-11-23T01:30:20.4383487Z                 'obj_weakref': <weakref at 0x7ff58ff15f30; to 'Tensor' at 0x7ff5a85007c0>
2022-11-23T01:30:20.4383726Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4383790Z             }
2022-11-23T01:30:20.4383882Z             
2022-11-23T01:30:20.4383951Z  - 
2022-11-23T01:30:20.4384074Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:30:20.4384137Z             {
2022-11-23T01:30:20.4384305Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.4384677Z                 'code': ['___check_type_id(ex[1], 94571819097664)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94571819095424)', '___check_type_id(ex[1][1], 94571819095424)', '___check_type_id(ex[1][2], 94571819095424)', 'ex[1] == [3, 3, 4]'],
2022-11-23T01:30:20.4384796Z                 'obj_weakref': None
2022-11-23T01:30:20.4385018Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.4385080Z             }
2022-11-23T01:30:20.4385145Z             
2022-11-23T01:30:20.4385214Z  - 
2022-11-23T01:30:20.4385344Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4385394Z             {
2022-11-23T01:30:20.4385528Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4385700Z                 'code': ['___check_obj_id(model, 140692656234432)'],
2022-11-23T01:30:20.4385817Z                 'obj_weakref': None
2022-11-23T01:30:20.4386049Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4386113Z             }
2022-11-23T01:30:20.4386174Z             
2022-11-23T01:30:20.4386229Z  - 
2022-11-23T01:30:20.4386352Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4386414Z             {
2022-11-23T01:30:20.4386551Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4386769Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4386886Z                 'obj_weakref': None
2022-11-23T01:30:20.4387105Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4387156Z             }
2022-11-23T01:30:20.4387218Z             
2022-11-23T01:30:20.4387290Z  - 
2022-11-23T01:30:20.4387424Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:30:20.4387487Z             {
2022-11-23T01:30:20.4387627Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4387819Z                 'code': ['___check_type_id(ex[1][0], 94571819095424)', 'ex[1][0] == 3'],
2022-11-23T01:30:20.4387922Z                 'obj_weakref': None
2022-11-23T01:30:20.4388142Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4388204Z             }
2022-11-23T01:30:20.4388266Z             
2022-11-23T01:30:20.4388333Z  - 
2022-11-23T01:30:20.4388466Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:30:20.4388527Z             {
2022-11-23T01:30:20.4388656Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4388847Z                 'code': ['___check_type_id(ex[1][1], 94571819095424)', 'ex[1][1] == 3'],
2022-11-23T01:30:20.4388963Z                 'obj_weakref': None
2022-11-23T01:30:20.4389184Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4389246Z             }
2022-11-23T01:30:20.4389308Z             
2022-11-23T01:30:20.4389401Z  - 
2022-11-23T01:30:20.4389525Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:30:20.4389588Z             {
2022-11-23T01:30:20.4389729Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4389920Z                 'code': ['___check_type_id(ex[1][2], 94571819095424)', 'ex[1][2] == 4'],
2022-11-23T01:30:20.4390036Z                 'obj_weakref': None
2022-11-23T01:30:20.4390255Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4390318Z             }
2022-11-23T01:30:20.4390367Z             
2022-11-23T01:30:20.4390435Z  - 
2022-11-23T01:30:20.4390567Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4390630Z             {
2022-11-23T01:30:20.4390750Z                 'guard_types': None,
2022-11-23T01:30:20.4390885Z                 'code': None,
2022-11-23T01:30:20.4391002Z                 'obj_weakref': None
2022-11-23T01:30:20.4391109Z                 'guarded_class': None
2022-11-23T01:30:20.4391175Z             }
2022-11-23T01:30:20.4391237Z             
2022-11-23T01:30:20.4391499Z [2022-11-23 01:27:30,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 369
2022-11-23T01:30:20.4391865Z [2022-11-23 01:27:31,791] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tr/ctrigkxxk44kcm5x2l7wxoajnlo5parn24ci7oo6oagrl4cazfwi.py
2022-11-23T01:30:20.4392129Z [2022-11-23 01:27:31,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 369
2022-11-23T01:30:20.4392365Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4392676Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4392881Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4393134Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4393409Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4393727Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4394142Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4394467Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4394844Z [2022-11-23 01:27:31,796] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16be10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:30:20.4395065Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:30:20.4395316Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:30:20.4395409Z                4 MAKE_FUNCTION            0
2022-11-23T01:30:20.4395505Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4395586Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:30:20.4395678Z               10 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4395770Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:30:20.4395853Z               14 BINARY_MULTIPLY
2022-11-23T01:30:20.4395951Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:30:20.4396088Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:30:20.4396218Z               20 CALL_METHOD              3
2022-11-23T01:30:20.4396277Z               22 GET_ITER
2022-11-23T01:30:20.4396368Z               24 CALL_FUNCTION            1
2022-11-23T01:30:20.4396445Z               26 RETURN_VALUE
2022-11-23T01:30:20.4396509Z  
2022-11-23T01:30:20.4396515Z 
2022-11-23T01:30:20.4396831Z [2022-11-23 01:27:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:30:20.4397231Z [2022-11-23 01:27:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:30:20.4397585Z [2022-11-23 01:27:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:30:20.4397907Z [2022-11-23 01:27:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:30:20.4398179Z [2022-11-23 01:27:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:30:20.4398590Z [2022-11-23 01:27:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4398935Z [2022-11-23 01:27:31,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>)]
2022-11-23T01:30:20.4399308Z [2022-11-23 01:27:31,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable()]
2022-11-23T01:30:20.4399741Z [2022-11-23 01:27:31,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4400117Z [2022-11-23 01:27:31,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable()]
2022-11-23T01:30:20.4400522Z [2022-11-23 01:27:31,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.4400958Z [2022-11-23 01:27:31,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4401250Z [2022-11-23 01:27:31,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4401564Z [2022-11-23 01:27:31,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4401946Z [2022-11-23 01:27:31,802] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:30:20.4402041Z  1698           0 BUILD_LIST               0
2022-11-23T01:30:20.4402132Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:30:20.4402213Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:30:20.4402304Z                6 STORE_FAST               1 (t)
2022-11-23T01:30:20.4402392Z                8 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4402484Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:30:20.4402560Z               12 BINARY_ADD
2022-11-23T01:30:20.4402650Z               14 LIST_APPEND              2
2022-11-23T01:30:20.4402744Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:30:20.4402833Z          >>   18 RETURN_VALUE
2022-11-23T01:30:20.4402896Z  
2022-11-23T01:30:20.4402901Z 
2022-11-23T01:30:20.4403114Z [2022-11-23 01:27:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:30:20.4403349Z [2022-11-23 01:27:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:30:20.4403622Z [2022-11-23 01:27:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4403925Z [2022-11-23 01:27:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4404200Z [2022-11-23 01:27:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4404538Z [2022-11-23 01:27:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4404885Z [2022-11-23 01:27:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4405189Z [2022-11-23 01:27:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4405452Z [2022-11-23 01:27:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4405722Z [2022-11-23 01:27:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4406022Z [2022-11-23 01:27:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4406294Z [2022-11-23 01:27:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4406600Z [2022-11-23 01:27:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4406945Z [2022-11-23 01:27:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4407251Z [2022-11-23 01:27:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4407530Z [2022-11-23 01:27:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4407796Z [2022-11-23 01:27:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4408097Z [2022-11-23 01:27:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4408355Z [2022-11-23 01:27:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4408659Z [2022-11-23 01:27:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4409004Z [2022-11-23 01:27:31,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4409306Z [2022-11-23 01:27:31,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4409584Z [2022-11-23 01:27:31,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4409858Z [2022-11-23 01:27:31,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4410125Z [2022-11-23 01:27:31,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4410518Z [2022-11-23 01:27:31,806] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:30:20.4410756Z [2022-11-23 01:27:31,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4411132Z [2022-11-23 01:27:31,806] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16be10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:30:20.4411372Z [2022-11-23 01:27:31,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4411620Z [2022-11-23 01:27:31,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4411873Z [2022-11-23 01:27:31,807] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4412120Z [2022-11-23 01:27:31,813] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4412307Z [2022-11-23 01:27:31,813] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4412441Z  __compiled_fn_378 <eval_with_key>.3082 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4412531Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4412704Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:30:20.4412914Z call_function, split, <function split at 0x7ff5aed91000>, (mul, [4, 3, 3], -1), {}
2022-11-23T01:30:20.4413089Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:30:20.4413280Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:30:20.4413464Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:30:20.4413644Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:30:20.4413830Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:30:20.4414010Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:30:20.4414118Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:30:20.4414123Z 
2022-11-23T01:30:20.4414448Z [2022-11-23 01:27:31,813] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4414542Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4414621Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4414707Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4414799Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4414887Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4414974Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4415055Z              12 RETURN_VALUE
2022-11-23T01:30:20.4415060Z 
2022-11-23T01:30:20.4415121Z  
2022-11-23T01:30:20.4415432Z [2022-11-23 01:27:31,813] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4415540Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_378)
2022-11-23T01:30:20.4415630Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4415721Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4415798Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4415885Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4415988Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4416075Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4416165Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4416240Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4416368Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4416580Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4416658Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4416756Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4416846Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4416909Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4416994Z              30 BUILD_LIST               3
2022-11-23T01:30:20.4417070Z              32 RETURN_VALUE
2022-11-23T01:30:20.4417076Z 
2022-11-23T01:30:20.4417138Z  
2022-11-23T01:30:20.4417325Z [2022-11-23 01:27:31,815] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4417395Z  - 
2022-11-23T01:30:20.4417515Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4417567Z             {
2022-11-23T01:30:20.4417751Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4417937Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4418059Z                 'obj_weakref': None
2022-11-23T01:30:20.4418284Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4418349Z             }
2022-11-23T01:30:20.4418414Z             
2022-11-23T01:30:20.4418472Z  - 
2022-11-23T01:30:20.4418597Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4418660Z             {
2022-11-23T01:30:20.4418801Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4418907Z                 'code': None,
2022-11-23T01:30:20.4419120Z                 'obj_weakref': <weakref at 0x7ff58fe05210; to 'Tensor' at 0x7ff5a85007c0>
2022-11-23T01:30:20.4419375Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4419428Z             }
2022-11-23T01:30:20.4419492Z             
2022-11-23T01:30:20.4419562Z  - 
2022-11-23T01:30:20.4419685Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:30:20.4419755Z             {
2022-11-23T01:30:20.4419924Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.4420310Z                 'code': ['___check_type_id(ex[1], 94571819097664)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94571819095424)', '___check_type_id(ex[1][1], 94571819095424)', '___check_type_id(ex[1][2], 94571819095424)', 'ex[1] == [4, 3, 3]'],
2022-11-23T01:30:20.4420418Z                 'obj_weakref': None
2022-11-23T01:30:20.4420640Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.4420705Z             }
2022-11-23T01:30:20.4420769Z             
2022-11-23T01:30:20.4420838Z  - 
2022-11-23T01:30:20.4420967Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4421031Z             {
2022-11-23T01:30:20.4421155Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4421323Z                 'code': ['___check_obj_id(model, 140692656234432)'],
2022-11-23T01:30:20.4421445Z                 'obj_weakref': None
2022-11-23T01:30:20.4421673Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4421737Z             }
2022-11-23T01:30:20.4421798Z             
2022-11-23T01:30:20.4421868Z  - 
2022-11-23T01:30:20.4421975Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4422039Z             {
2022-11-23T01:30:20.4422176Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4422395Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4422511Z                 'obj_weakref': None
2022-11-23T01:30:20.4422729Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4422792Z             }
2022-11-23T01:30:20.4422845Z             
2022-11-23T01:30:20.4422914Z  - 
2022-11-23T01:30:20.4423048Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:30:20.4423111Z             {
2022-11-23T01:30:20.4423284Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4423477Z                 'code': ['___check_type_id(ex[1][0], 94571819095424)', 'ex[1][0] == 4'],
2022-11-23T01:30:20.4423596Z                 'obj_weakref': None
2022-11-23T01:30:20.4423804Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4423871Z             }
2022-11-23T01:30:20.4423932Z             
2022-11-23T01:30:20.4424001Z  - 
2022-11-23T01:30:20.4424140Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:30:20.4424203Z             {
2022-11-23T01:30:20.4424346Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4424522Z                 'code': ['___check_type_id(ex[1][1], 94571819095424)', 'ex[1][1] == 3'],
2022-11-23T01:30:20.4424665Z                 'obj_weakref': None
2022-11-23T01:30:20.4424883Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4424947Z             }
2022-11-23T01:30:20.4425009Z             
2022-11-23T01:30:20.4425076Z  - 
2022-11-23T01:30:20.4425208Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:30:20.4425257Z             {
2022-11-23T01:30:20.4425395Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4425583Z                 'code': ['___check_type_id(ex[1][2], 94571819095424)', 'ex[1][2] == 3'],
2022-11-23T01:30:20.4425700Z                 'obj_weakref': None
2022-11-23T01:30:20.4425917Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4425979Z             }
2022-11-23T01:30:20.4426040Z             
2022-11-23T01:30:20.4426096Z  - 
2022-11-23T01:30:20.4426225Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4426286Z             {
2022-11-23T01:30:20.4426407Z                 'guard_types': None,
2022-11-23T01:30:20.4426511Z                 'code': None,
2022-11-23T01:30:20.4426626Z                 'obj_weakref': None
2022-11-23T01:30:20.4426749Z                 'guarded_class': None
2022-11-23T01:30:20.4426802Z             }
2022-11-23T01:30:20.4426864Z             
2022-11-23T01:30:20.4427125Z [2022-11-23 01:27:31,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 370
2022-11-23T01:30:20.4427495Z [2022-11-23 01:27:33,289] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7a/c7auknktvdds23dlyxoemrxo4c7nlminr5rzptbhzgm2di2dgqlz.py
2022-11-23T01:30:20.4427760Z [2022-11-23 01:27:33,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 370
2022-11-23T01:30:20.4427998Z [2022-11-23 01:27:33,293] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4428314Z [2022-11-23 01:27:33,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4428537Z [2022-11-23 01:27:33,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4428776Z [2022-11-23 01:27:33,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4429054Z [2022-11-23 01:27:33,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4429374Z [2022-11-23 01:27:33,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4429721Z [2022-11-23 01:27:33,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4430044Z [2022-11-23 01:27:33,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4430449Z [2022-11-23 01:27:33,294] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16be10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:30:20.4430669Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:30:20.4430920Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:30:20.4431012Z                4 MAKE_FUNCTION            0
2022-11-23T01:30:20.4431108Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4431189Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:30:20.4431279Z               10 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4431371Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:30:20.4431483Z               14 BINARY_MULTIPLY
2022-11-23T01:30:20.4431574Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:30:20.4431715Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:30:20.4431802Z               20 CALL_METHOD              3
2022-11-23T01:30:20.4431861Z               22 GET_ITER
2022-11-23T01:30:20.4431951Z               24 CALL_FUNCTION            1
2022-11-23T01:30:20.4432032Z               26 RETURN_VALUE
2022-11-23T01:30:20.4432094Z  
2022-11-23T01:30:20.4432100Z 
2022-11-23T01:30:20.4432416Z [2022-11-23 01:27:33,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1698
2022-11-23T01:30:20.4432814Z [2022-11-23 01:27:33,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:30:20.4433167Z [2022-11-23 01:27:33,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:30:20.4433463Z [2022-11-23 01:27:33,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:30:20.4433736Z [2022-11-23 01:27:33,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:30:20.4434242Z [2022-11-23 01:27:33,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4434571Z [2022-11-23 01:27:33,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>)]
2022-11-23T01:30:20.4434944Z [2022-11-23 01:27:33,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable()]
2022-11-23T01:30:20.4435375Z [2022-11-23 01:27:33,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4435752Z [2022-11-23 01:27:33,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable()]
2022-11-23T01:30:20.4436150Z [2022-11-23 01:27:33,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.4436586Z [2022-11-23 01:27:33,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7ff5aed91000>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4436881Z [2022-11-23 01:27:33,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4437226Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4437609Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:30:20.4437699Z  1698           0 BUILD_LIST               0
2022-11-23T01:30:20.4437792Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:30:20.4437884Z          >>    4 FOR_ITER                 6 (to 18)
2022-11-23T01:30:20.4437963Z                6 STORE_FAST               1 (t)
2022-11-23T01:30:20.4438053Z                8 LOAD_FAST                1 (t)
2022-11-23T01:30:20.4438143Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:30:20.4438244Z               12 BINARY_ADD
2022-11-23T01:30:20.4438335Z               14 LIST_APPEND              2
2022-11-23T01:30:20.4438432Z               16 JUMP_ABSOLUTE            2 (to 4)
2022-11-23T01:30:20.4438507Z          >>   18 RETURN_VALUE
2022-11-23T01:30:20.4438555Z  
2022-11-23T01:30:20.4438560Z 
2022-11-23T01:30:20.4438772Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:30:20.4439005Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:30:20.4439275Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4439580Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4439855Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4440162Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4440507Z [2022-11-23 01:27:33,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4440808Z [2022-11-23 01:27:33,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4441073Z [2022-11-23 01:27:33,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4441345Z [2022-11-23 01:27:33,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4441645Z [2022-11-23 01:27:33,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4441920Z [2022-11-23 01:27:33,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4442222Z [2022-11-23 01:27:33,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4442566Z [2022-11-23 01:27:33,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4442870Z [2022-11-23 01:27:33,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4443147Z [2022-11-23 01:27:33,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4443413Z [2022-11-23 01:27:33,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4443755Z [2022-11-23 01:27:33,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4444025Z [2022-11-23 01:27:33,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4444316Z [2022-11-23 01:27:33,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4444658Z [2022-11-23 01:27:33,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4444959Z [2022-11-23 01:27:33,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4445235Z [2022-11-23 01:27:33,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4445538Z [2022-11-23 01:27:33,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4445831Z [2022-11-23 01:27:33,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4446098Z [2022-11-23 01:27:33,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4446399Z [2022-11-23 01:27:33,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4446742Z [2022-11-23 01:27:33,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.4447044Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:30:20.4447327Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4447583Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:30:20.4447821Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4448216Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7ff64d16bd60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1698>
2022-11-23T01:30:20.4448452Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4448827Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16be10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1697>
2022-11-23T01:30:20.4449072Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:30:20.4449301Z [2022-11-23 01:27:33,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4449551Z [2022-11-23 01:27:33,307] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4449798Z [2022-11-23 01:27:33,313] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4449983Z [2022-11-23 01:27:33,313] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4450105Z  __compiled_fn_379 <eval_with_key>.3088 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4450192Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4450362Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:30:20.4450573Z call_function, split, <function split at 0x7ff5aed91000>, (mul, [1, 2, 3, 4], -1), {}
2022-11-23T01:30:20.4450758Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:30:20.4450971Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:30:20.4451156Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:30:20.4451324Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:30:20.4451499Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:30:20.4451680Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:30:20.4451858Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:30:20.4452031Z call_function, add_3, <built-in function add>, (getitem_3, 1.0), {}
2022-11-23T01:30:20.4452145Z output, output, output, ((add, add_1, add_2, add_3),), {}
2022-11-23T01:30:20.4452151Z 
2022-11-23T01:30:20.4452503Z [2022-11-23 01:27:33,314] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4452601Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4452690Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4452764Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4452853Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4452941Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4453027Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4453101Z              12 RETURN_VALUE
2022-11-23T01:30:20.4453106Z 
2022-11-23T01:30:20.4453166Z  
2022-11-23T01:30:20.4453485Z [2022-11-23 01:27:33,314] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4453579Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_379)
2022-11-23T01:30:20.4453670Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4453759Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4453834Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4453921Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4454021Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4454121Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4454208Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4454271Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4454371Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4454456Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4454530Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4454626Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4454711Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4454784Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4454873Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4454957Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.4455032Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.4455119Z              36 BUILD_LIST               4
2022-11-23T01:30:20.4455192Z              38 RETURN_VALUE
2022-11-23T01:30:20.4455197Z 
2022-11-23T01:30:20.4455256Z  
2022-11-23T01:30:20.4455436Z [2022-11-23 01:27:33,315] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4455491Z  - 
2022-11-23T01:30:20.4455609Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4455673Z             {
2022-11-23T01:30:20.4455812Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4455998Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4456114Z                 'obj_weakref': None
2022-11-23T01:30:20.4456339Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4456394Z             }
2022-11-23T01:30:20.4456574Z             
2022-11-23T01:30:20.4456644Z  - 
2022-11-23T01:30:20.4456769Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4456878Z             {
2022-11-23T01:30:20.4457022Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4457126Z                 'code': None,
2022-11-23T01:30:20.4457323Z                 'obj_weakref': <weakref at 0x7ff59c05cb30; to 'Tensor' at 0x7ff57f946e80>
2022-11-23T01:30:20.4457575Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4457637Z             }
2022-11-23T01:30:20.4457700Z             
2022-11-23T01:30:20.4457769Z  - 
2022-11-23T01:30:20.4457890Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:30:20.4457952Z             {
2022-11-23T01:30:20.4458105Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.4458560Z                 'code': ['___check_type_id(ex[1], 94571819097664)', 'len(ex[1]) == 4', '___check_type_id(ex[1][0], 94571819095424)', '___check_type_id(ex[1][1], 94571819095424)', '___check_type_id(ex[1][2], 94571819095424)', '___check_type_id(ex[1][3], 94571819095424)', 'ex[1] == [1, 2, 3, 4]'],
2022-11-23T01:30:20.4458714Z                 'obj_weakref': None
2022-11-23T01:30:20.4458937Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.4459000Z             }
2022-11-23T01:30:20.4459062Z             
2022-11-23T01:30:20.4459127Z  - 
2022-11-23T01:30:20.4459255Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4459306Z             {
2022-11-23T01:30:20.4459437Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4459603Z                 'code': ['___check_obj_id(model, 140692656234432)'],
2022-11-23T01:30:20.4459718Z                 'obj_weakref': None
2022-11-23T01:30:20.4459946Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4460009Z             }
2022-11-23T01:30:20.4460069Z             
2022-11-23T01:30:20.4460125Z  - 
2022-11-23T01:30:20.4460245Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4460307Z             {
2022-11-23T01:30:20.4460445Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4460661Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4460777Z                 'obj_weakref': None
2022-11-23T01:30:20.4461025Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4461106Z             }
2022-11-23T01:30:20.4461199Z             
2022-11-23T01:30:20.4461270Z  - 
2022-11-23T01:30:20.4461404Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:30:20.4461465Z             {
2022-11-23T01:30:20.4461604Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4461793Z                 'code': ['___check_type_id(ex[1][0], 94571819095424)', 'ex[1][0] == 1'],
2022-11-23T01:30:20.4461900Z                 'obj_weakref': None
2022-11-23T01:30:20.4462119Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4462186Z             }
2022-11-23T01:30:20.4462246Z             
2022-11-23T01:30:20.4462313Z  - 
2022-11-23T01:30:20.4462446Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:30:20.4462508Z             {
2022-11-23T01:30:20.4462636Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4462824Z                 'code': ['___check_type_id(ex[1][1], 94571819095424)', 'ex[1][1] == 2'],
2022-11-23T01:30:20.4462941Z                 'obj_weakref': None
2022-11-23T01:30:20.4463159Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4463220Z             }
2022-11-23T01:30:20.4463281Z             
2022-11-23T01:30:20.4463350Z  - 
2022-11-23T01:30:20.4463471Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:30:20.4463536Z             {
2022-11-23T01:30:20.4463675Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4463904Z                 'code': ['___check_type_id(ex[1][2], 94571819095424)', 'ex[1][2] == 3'],
2022-11-23T01:30:20.4464020Z                 'obj_weakref': None
2022-11-23T01:30:20.4464236Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4464297Z             }
2022-11-23T01:30:20.4464346Z             
2022-11-23T01:30:20.4464413Z  - 
2022-11-23T01:30:20.4464546Z             local 'ex[1][3]' CONSTANT_MATCH
2022-11-23T01:30:20.4464608Z             {
2022-11-23T01:30:20.4464748Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4464936Z                 'code': ['___check_type_id(ex[1][3], 94571819095424)', 'ex[1][3] == 4'],
2022-11-23T01:30:20.4465051Z                 'obj_weakref': None
2022-11-23T01:30:20.4465257Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.4465374Z             }
2022-11-23T01:30:20.4465434Z             
2022-11-23T01:30:20.4465502Z  - 
2022-11-23T01:30:20.4465636Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4465697Z             {
2022-11-23T01:30:20.4465803Z                 'guard_types': None,
2022-11-23T01:30:20.4465905Z                 'code': None,
2022-11-23T01:30:20.4466021Z                 'obj_weakref': None
2022-11-23T01:30:20.4466138Z                 'guarded_class': None
2022-11-23T01:30:20.4466200Z             }
2022-11-23T01:30:20.4466262Z             
2022-11-23T01:30:20.4466522Z [2022-11-23 01:27:33,326] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 371
2022-11-23T01:30:20.4466529Z 
2022-11-23T01:30:20.4466623Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4466678Z import torch
2022-11-23T01:30:20.4466745Z import random
2022-11-23T01:30:20.4466863Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4466985Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4466990Z 
2022-11-23T01:30:20.4467067Z aten = torch.ops.aten
2022-11-23T01:30:20.4467203Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4467292Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4467298Z 
2022-11-23T01:30:20.4467302Z 
2022-11-23T01:30:20.4467433Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4467623Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4467740Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4467837Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4467932Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.4468023Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.4468082Z {
2022-11-23T01:30:20.4468179Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4468232Z     {
2022-11-23T01:30:20.4468305Z         #pragma omp for 
2022-11-23T01:30:20.4468385Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4468448Z         {
2022-11-23T01:30:20.4468526Z             #pragma GCC ivdep
2022-11-23T01:30:20.4468606Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.4468656Z             {
2022-11-23T01:30:20.4468719Z                 {
2022-11-23T01:30:20.4468784Z                     {
2022-11-23T01:30:20.4468885Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.4468991Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4469081Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4469188Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4469267Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4469360Z                         out_ptr0[i1 + (3*i0)] = tmp4;
2022-11-23T01:30:20.4469423Z                     }
2022-11-23T01:30:20.4469489Z                 }
2022-11-23T01:30:20.4469551Z             }
2022-11-23T01:30:20.4469613Z         }
2022-11-23T01:30:20.4469689Z         #pragma omp for 
2022-11-23T01:30:20.4469784Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4469845Z         {
2022-11-23T01:30:20.4469924Z             #pragma GCC ivdep
2022-11-23T01:30:20.4470004Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.4470065Z             {
2022-11-23T01:30:20.4470127Z                 {
2022-11-23T01:30:20.4470192Z                     {
2022-11-23T01:30:20.4470283Z                         auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2022-11-23T01:30:20.4470391Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4470482Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4470586Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4470679Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4470771Z                         out_ptr1[i1 + (3*i0)] = tmp4;
2022-11-23T01:30:20.4470865Z                     }
2022-11-23T01:30:20.4470917Z                 }
2022-11-23T01:30:20.4470977Z             }
2022-11-23T01:30:20.4471039Z         }
2022-11-23T01:30:20.4471117Z         #pragma omp for 
2022-11-23T01:30:20.4471196Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4471257Z         {
2022-11-23T01:30:20.4471333Z             #pragma GCC ivdep
2022-11-23T01:30:20.4471403Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.4471462Z             {
2022-11-23T01:30:20.4471525Z                 {
2022-11-23T01:30:20.4471589Z                     {
2022-11-23T01:30:20.4471690Z                         auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2022-11-23T01:30:20.4471796Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4471888Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4471983Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4472073Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4472168Z                         out_ptr2[i1 + (4*i0)] = tmp4;
2022-11-23T01:30:20.4472235Z                     }
2022-11-23T01:30:20.4472303Z                 }
2022-11-23T01:30:20.4472368Z             }
2022-11-23T01:30:20.4472431Z         }
2022-11-23T01:30:20.4472481Z     }
2022-11-23T01:30:20.4472540Z }
2022-11-23T01:30:20.4472618Z ''')
2022-11-23T01:30:20.4472623Z 
2022-11-23T01:30:20.4472628Z 
2022-11-23T01:30:20.4472718Z async_compile.wait(globals())
2022-11-23T01:30:20.4472790Z del async_compile
2022-11-23T01:30:20.4472795Z 
2022-11-23T01:30:20.4472866Z def call(args):
2022-11-23T01:30:20.4472936Z     arg0_1, = args
2022-11-23T01:30:20.4472995Z     args.clear()
2022-11-23T01:30:20.4473200Z     buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4473402Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4473600Z     buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4473860Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.4473937Z     del arg0_1
2022-11-23T01:30:20.4474020Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:20.4474025Z 
2022-11-23T01:30:20.4474030Z 
2022-11-23T01:30:20.4474104Z if __name__ == "__main__":
2022-11-23T01:30:20.4474206Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4474329Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4474539Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4474647Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4474652Z 
2022-11-23T01:30:20.4474657Z 
2022-11-23T01:30:20.4474751Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4474822Z import torch
2022-11-23T01:30:20.4474892Z import random
2022-11-23T01:30:20.4475006Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4475116Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4475120Z 
2022-11-23T01:30:20.4475197Z aten = torch.ops.aten
2022-11-23T01:30:20.4475363Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4475456Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4475460Z 
2022-11-23T01:30:20.4475464Z 
2022-11-23T01:30:20.4475600Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4475806Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4475926Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4476027Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4476111Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.4476206Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.4476269Z {
2022-11-23T01:30:20.4476368Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4476464Z     {
2022-11-23T01:30:20.4476540Z         #pragma omp for 
2022-11-23T01:30:20.4476622Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4476673Z         {
2022-11-23T01:30:20.4476755Z             #pragma GCC ivdep
2022-11-23T01:30:20.4476838Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.4476903Z             {
2022-11-23T01:30:20.4476970Z                 {
2022-11-23T01:30:20.4477034Z                     {
2022-11-23T01:30:20.4477124Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.4477232Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4477327Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4477432Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4477521Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4477616Z                         out_ptr0[i1 + (4*i0)] = tmp4;
2022-11-23T01:30:20.4477683Z                     }
2022-11-23T01:30:20.4477737Z                 }
2022-11-23T01:30:20.4477798Z             }
2022-11-23T01:30:20.4477859Z         }
2022-11-23T01:30:20.4477936Z         #pragma omp for 
2022-11-23T01:30:20.4478017Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4478078Z         {
2022-11-23T01:30:20.4478155Z             #pragma GCC ivdep
2022-11-23T01:30:20.4478223Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.4478287Z             {
2022-11-23T01:30:20.4478349Z                 {
2022-11-23T01:30:20.4478414Z                     {
2022-11-23T01:30:20.4478515Z                         auto tmp0 = in_ptr0[4 + i1 + (10*i0)];
2022-11-23T01:30:20.4478618Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4478708Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4478803Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4478892Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4478988Z                         out_ptr1[i1 + (3*i0)] = tmp4;
2022-11-23T01:30:20.4479054Z                     }
2022-11-23T01:30:20.4479121Z                 }
2022-11-23T01:30:20.4479182Z             }
2022-11-23T01:30:20.4479244Z         }
2022-11-23T01:30:20.4479306Z         #pragma omp for 
2022-11-23T01:30:20.4479385Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4479446Z         {
2022-11-23T01:30:20.4479525Z             #pragma GCC ivdep
2022-11-23T01:30:20.4479604Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.4479666Z             {
2022-11-23T01:30:20.4479727Z                 {
2022-11-23T01:30:20.4479779Z                     {
2022-11-23T01:30:20.4479879Z                         auto tmp0 = in_ptr0[7 + i1 + (10*i0)];
2022-11-23T01:30:20.4479982Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4480073Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4480177Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4480270Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4480364Z                         out_ptr2[i1 + (3*i0)] = tmp4;
2022-11-23T01:30:20.4480416Z                     }
2022-11-23T01:30:20.4480503Z                 }
2022-11-23T01:30:20.4480565Z             }
2022-11-23T01:30:20.4480626Z         }
2022-11-23T01:30:20.4480689Z     }
2022-11-23T01:30:20.4480747Z }
2022-11-23T01:30:20.4480814Z ''')
2022-11-23T01:30:20.4480819Z 
2022-11-23T01:30:20.4480835Z 
2022-11-23T01:30:20.4480911Z async_compile.wait(globals())
2022-11-23T01:30:20.4480982Z del async_compile
2022-11-23T01:30:20.4480987Z 
2022-11-23T01:30:20.4481055Z def call(args):
2022-11-23T01:30:20.4481123Z     arg0_1, = args
2022-11-23T01:30:20.4481192Z     args.clear()
2022-11-23T01:30:20.4481391Z     buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4481589Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4481772Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4481991Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.4482058Z     del arg0_1
2022-11-23T01:30:20.4482139Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:20.4482143Z 
2022-11-23T01:30:20.4482147Z 
2022-11-23T01:30:20.4482224Z if __name__ == "__main__":
2022-11-23T01:30:20.4482335Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4482457Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4482660Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4482755Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4482759Z 
2022-11-23T01:30:20.4483129Z [2022-11-23 01:27:34,794] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wq/cwqk3kssls35ouazr4lspi7rqyixrrd3whe6rvppbyout4jaej4j.py
2022-11-23T01:30:20.4483393Z [2022-11-23 01:27:34,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 371
2022-11-23T01:30:20.4483398Z 
2022-11-23T01:30:20.4483491Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4483560Z import torch
2022-11-23T01:30:20.4483628Z import random
2022-11-23T01:30:20.4483743Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4483859Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4483863Z 
2022-11-23T01:30:20.4483926Z aten = torch.ops.aten
2022-11-23T01:30:20.4484057Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4484146Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4484151Z 
2022-11-23T01:30:20.4484156Z 
2022-11-23T01:30:20.4484288Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4484490Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4484606Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4484705Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4484798Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.4484880Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.4484972Z                        float* __restrict__ out_ptr3)
2022-11-23T01:30:20.4485032Z {
2022-11-23T01:30:20.4485129Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4485189Z     {
2022-11-23T01:30:20.4485264Z         #pragma omp for 
2022-11-23T01:30:20.4485343Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4485393Z         {
2022-11-23T01:30:20.4485455Z             {
2022-11-23T01:30:20.4485517Z                 {
2022-11-23T01:30:20.4485608Z                     auto tmp0 = in_ptr0[10*i0];
2022-11-23T01:30:20.4485713Z                     auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4485802Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4485904Z                     auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4485983Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4486066Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.4486167Z                 }
2022-11-23T01:30:20.4486230Z             }
2022-11-23T01:30:20.4486291Z         }
2022-11-23T01:30:20.4486366Z         #pragma omp for 
2022-11-23T01:30:20.4486445Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4486494Z         {
2022-11-23T01:30:20.4486575Z             #pragma GCC ivdep
2022-11-23T01:30:20.4486656Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:20.4486717Z             {
2022-11-23T01:30:20.4486779Z                 {
2022-11-23T01:30:20.4486843Z                     {
2022-11-23T01:30:20.4486935Z                         auto tmp0 = in_ptr0[1 + i1 + (10*i0)];
2022-11-23T01:30:20.4487042Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4487134Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4487267Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4487359Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4487455Z                         out_ptr1[i1 + (2*i0)] = tmp4;
2022-11-23T01:30:20.4487520Z                     }
2022-11-23T01:30:20.4487585Z                 }
2022-11-23T01:30:20.4487635Z             }
2022-11-23T01:30:20.4487697Z         }
2022-11-23T01:30:20.4487772Z         #pragma omp for 
2022-11-23T01:30:20.4487853Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4487917Z         {
2022-11-23T01:30:20.4487994Z             #pragma GCC ivdep
2022-11-23T01:30:20.4488063Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.4488125Z             {
2022-11-23T01:30:20.4488187Z                 {
2022-11-23T01:30:20.4488250Z                     {
2022-11-23T01:30:20.4488352Z                         auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2022-11-23T01:30:20.4488459Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4488551Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4488645Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4488736Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4488830Z                         out_ptr2[i1 + (3*i0)] = tmp4;
2022-11-23T01:30:20.4488894Z                     }
2022-11-23T01:30:20.4488957Z                 }
2022-11-23T01:30:20.4489016Z             }
2022-11-23T01:30:20.4489076Z         }
2022-11-23T01:30:20.4489139Z         #pragma omp for 
2022-11-23T01:30:20.4489218Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4489278Z         {
2022-11-23T01:30:20.4489360Z             #pragma GCC ivdep
2022-11-23T01:30:20.4489439Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.4489500Z             {
2022-11-23T01:30:20.4489562Z                 {
2022-11-23T01:30:20.4489614Z                     {
2022-11-23T01:30:20.4489714Z                         auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2022-11-23T01:30:20.4489821Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:30:20.4489909Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4490015Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:30:20.4490106Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4490199Z                         out_ptr3[i1 + (4*i0)] = tmp4;
2022-11-23T01:30:20.4490253Z                     }
2022-11-23T01:30:20.4490315Z                 }
2022-11-23T01:30:20.4490375Z             }
2022-11-23T01:30:20.4490435Z         }
2022-11-23T01:30:20.4490495Z     }
2022-11-23T01:30:20.4490552Z }
2022-11-23T01:30:20.4490619Z ''')
2022-11-23T01:30:20.4490635Z 
2022-11-23T01:30:20.4490639Z 
2022-11-23T01:30:20.4490715Z async_compile.wait(globals())
2022-11-23T01:30:20.4490786Z del async_compile
2022-11-23T01:30:20.4490790Z 
2022-11-23T01:30:20.4490859Z def call(args):
2022-11-23T01:30:20.4490927Z     arg0_1, = args
2022-11-23T01:30:20.4490996Z     args.clear()
2022-11-23T01:30:20.4491198Z     buf0 = empty_strided((2, 2, 1), (2, 1, 4), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4491423Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4491609Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4491802Z     buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4492013Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.4492082Z     del arg0_1
2022-11-23T01:30:20.4492170Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:30:20.4492175Z 
2022-11-23T01:30:20.4492179Z 
2022-11-23T01:30:20.4492254Z if __name__ == "__main__":
2022-11-23T01:30:20.4492367Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4492487Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4492719Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4492814Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4492821Z 
2022-11-23T01:30:20.4492885Z ok (4.523s)
2022-11-23T01:30:20.4493195Z   test_squeeze1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:34,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4493512Z [2022-11-23 01:27:34,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4493727Z [2022-11-23 01:27:34,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4493977Z [2022-11-23 01:27:34,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4494251Z [2022-11-23 01:27:34,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4494570Z [2022-11-23 01:27:34,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4494914Z [2022-11-23 01:27:34,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4495221Z [2022-11-23 01:27:34,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4495589Z [2022-11-23 01:27:34,800] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269> 
2022-11-23T01:30:20.4495681Z  1270           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4495771Z                2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4495842Z                4 BINARY_ADD
2022-11-23T01:30:20.4495940Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:30:20.4496028Z                8 CALL_METHOD              0
2022-11-23T01:30:20.4496119Z               10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.4496179Z               12 BINARY_ADD
2022-11-23T01:30:20.4496265Z               14 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4496361Z               16 LOAD_METHOD              0 (squeeze)
2022-11-23T01:30:20.4496578Z               18 CALL_METHOD              0
2022-11-23T01:30:20.4496665Z               20 LOAD_CONST               2 (2)
2022-11-23T01:30:20.4496737Z               22 BINARY_ADD
2022-11-23T01:30:20.4496826Z               24 BUILD_TUPLE              2
2022-11-23T01:30:20.4496888Z               26 RETURN_VALUE
2022-11-23T01:30:20.4496949Z  
2022-11-23T01:30:20.4496955Z 
2022-11-23T01:30:20.4497272Z [2022-11-23 01:27:34,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1270
2022-11-23T01:30:20.4497484Z [2022-11-23 01:27:34,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4497772Z [2022-11-23 01:27:34,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.4498054Z [2022-11-23 01:27:34,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4498298Z [2022-11-23 01:27:34,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:30:20.4498584Z [2022-11-23 01:27:34,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:30:20.4498817Z [2022-11-23 01:27:34,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.4499085Z [2022-11-23 01:27:34,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4499319Z [2022-11-23 01:27:34,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.4499628Z [2022-11-23 01:27:34,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4499937Z [2022-11-23 01:27:34,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:30:20.4500203Z [2022-11-23 01:27:34,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4500509Z [2022-11-23 01:27:34,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4500772Z [2022-11-23 01:27:34,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4501013Z [2022-11-23 01:27:34,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4501392Z [2022-11-23 01:27:34,805] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169e70, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1269>
2022-11-23T01:30:20.4501636Z [2022-11-23 01:27:34,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4501854Z [2022-11-23 01:27:34,805] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4502107Z [2022-11-23 01:27:34,807] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4502353Z [2022-11-23 01:27:34,810] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4502537Z [2022-11-23 01:27:34,811] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4502669Z  __compiled_fn_380 <eval_with_key>.3094 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4502761Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4502932Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4503031Z call_method, squeeze, squeeze, (add,), {}
2022-11-23T01:30:20.4503199Z call_function, add_1, <built-in function add>, (squeeze, 2), {}
2022-11-23T01:30:20.4503302Z call_method, squeeze_1, squeeze, (ex_0_,), {}
2022-11-23T01:30:20.4503477Z call_function, add_2, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:30:20.4503578Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:30:20.4503583Z 
2022-11-23T01:30:20.4503908Z [2022-11-23 01:27:34,811] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4504000Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4504087Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4504173Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4504254Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4504337Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4504423Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4504526Z              12 RETURN_VALUE
2022-11-23T01:30:20.4504532Z 
2022-11-23T01:30:20.4504592Z  
2022-11-23T01:30:20.4504913Z [2022-11-23 01:27:34,811] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4505022Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_380)
2022-11-23T01:30:20.4505109Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4505186Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4505261Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4505345Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4505447Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4505548Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4505667Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4505743Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4505834Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4505926Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4506000Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4506087Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.4506162Z              26 RETURN_VALUE
2022-11-23T01:30:20.4506168Z 
2022-11-23T01:30:20.4506231Z  
2022-11-23T01:30:20.4506415Z [2022-11-23 01:27:34,812] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4506472Z  - 
2022-11-23T01:30:20.4506591Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4506655Z             {
2022-11-23T01:30:20.4506796Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4506983Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4507105Z                 'obj_weakref': None
2022-11-23T01:30:20.4507329Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4507397Z             }
2022-11-23T01:30:20.4507447Z             
2022-11-23T01:30:20.4507519Z  - 
2022-11-23T01:30:20.4507644Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4507708Z             {
2022-11-23T01:30:20.4507850Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4507957Z                 'code': None,
2022-11-23T01:30:20.4508157Z                 'obj_weakref': <weakref at 0x7ff6383f5a30; to 'Tensor' at 0x7ff58f998630>
2022-11-23T01:30:20.4508411Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4508475Z             }
2022-11-23T01:30:20.4508538Z             
2022-11-23T01:30:20.4508608Z  - 
2022-11-23T01:30:20.4508740Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4508803Z             {
2022-11-23T01:30:20.4508926Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4509095Z                 'code': ['___check_obj_id(model, 140692659572592)'],
2022-11-23T01:30:20.4509215Z                 'obj_weakref': None
2022-11-23T01:30:20.4509446Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4509509Z             }
2022-11-23T01:30:20.4509572Z             
2022-11-23T01:30:20.4509641Z  - 
2022-11-23T01:30:20.4509749Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4509815Z             {
2022-11-23T01:30:20.4509952Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4510171Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4510288Z                 'obj_weakref': None
2022-11-23T01:30:20.4510506Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4510572Z             }
2022-11-23T01:30:20.4510635Z             
2022-11-23T01:30:20.4510881Z [2022-11-23 01:27:34,818] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 372
2022-11-23T01:30:20.4511283Z [2022-11-23 01:27:36,203] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hj/chjalhcflmr3wxksaghbmbntaw6j5nq6r3pa5jlipnoqt4kclvby.py
2022-11-23T01:30:20.4511547Z [2022-11-23 01:27:36,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 372
2022-11-23T01:30:20.4511553Z 
2022-11-23T01:30:20.4511648Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4511717Z import torch
2022-11-23T01:30:20.4511784Z import random
2022-11-23T01:30:20.4511897Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4512018Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4512023Z 
2022-11-23T01:30:20.4512088Z aten = torch.ops.aten
2022-11-23T01:30:20.4512221Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4512342Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4512347Z 
2022-11-23T01:30:20.4512351Z 
2022-11-23T01:30:20.4512483Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4512691Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4512810Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4512907Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4513003Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.4513052Z {
2022-11-23T01:30:20.4513150Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4513211Z     {
2022-11-23T01:30:20.4513288Z         #pragma omp for 
2022-11-23T01:30:20.4513367Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.4513429Z         {
2022-11-23T01:30:20.4513569Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4513689Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.4513776Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4513981Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.4514064Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4514144Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:30:20.4514236Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4514325Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.4514374Z         }
2022-11-23T01:30:20.4514468Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4514547Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:20.4514609Z         {
2022-11-23T01:30:20.4514692Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4514790Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.4514873Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4514957Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:30:20.4515043Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4515125Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:30:20.4515204Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.4515283Z             out_ptr1[i0] = tmp5;
2022-11-23T01:30:20.4515343Z         }
2022-11-23T01:30:20.4515404Z     }
2022-11-23T01:30:20.4515451Z }
2022-11-23T01:30:20.4515531Z ''')
2022-11-23T01:30:20.4515536Z 
2022-11-23T01:30:20.4515541Z 
2022-11-23T01:30:20.4515629Z async_compile.wait(globals())
2022-11-23T01:30:20.4515697Z del async_compile
2022-11-23T01:30:20.4515702Z 
2022-11-23T01:30:20.4515775Z def call(args):
2022-11-23T01:30:20.4515840Z     arg0_1, = args
2022-11-23T01:30:20.4515908Z     args.clear()
2022-11-23T01:30:20.4516097Z     buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4516297Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4516458Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.4516528Z     del arg0_1
2022-11-23T01:30:20.4516603Z     return (buf0, buf1, )
2022-11-23T01:30:20.4516608Z 
2022-11-23T01:30:20.4516613Z 
2022-11-23T01:30:20.4516731Z if __name__ == "__main__":
2022-11-23T01:30:20.4516846Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4516967Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4517184Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4517289Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4517294Z 
2022-11-23T01:30:20.4517359Z ok (1.409s)
2022-11-23T01:30:20.4517665Z   test_squeeze2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:36,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4517982Z [2022-11-23 01:27:36,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4518227Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4518480Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4518755Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4519072Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4519404Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4519721Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4520097Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275> 
2022-11-23T01:30:20.4520191Z  1276           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4520284Z                2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4520355Z                4 BINARY_ADD
2022-11-23T01:30:20.4520452Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:30:20.4520586Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4520672Z               10 CALL_METHOD              1
2022-11-23T01:30:20.4520755Z               12 LOAD_METHOD              0 (squeeze)
2022-11-23T01:30:20.4520840Z               14 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4520927Z               16 CALL_METHOD              1
2022-11-23T01:30:20.4521013Z               18 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4521084Z               20 BINARY_ADD
2022-11-23T01:30:20.4521171Z               22 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4521262Z               24 LOAD_METHOD              0 (squeeze)
2022-11-23T01:30:20.4521338Z               26 LOAD_CONST               4 (0)
2022-11-23T01:30:20.4521424Z               28 CALL_METHOD              1
2022-11-23T01:30:20.4521508Z               30 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4521579Z               32 BINARY_ADD
2022-11-23T01:30:20.4521665Z               34 BUILD_TUPLE              2
2022-11-23T01:30:20.4521738Z               36 RETURN_VALUE
2022-11-23T01:30:20.4521799Z  
2022-11-23T01:30:20.4521805Z 
2022-11-23T01:30:20.4522107Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1276
2022-11-23T01:30:20.4522313Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4522550Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.4522829Z [2022-11-23 01:27:36,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4523097Z [2022-11-23 01:27:36,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:30:20.4523379Z [2022-11-23 01:27:36,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:30:20.4523698Z [2022-11-23 01:27:36,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:30:20.4523936Z [2022-11-23 01:27:36,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:30:20.4524211Z [2022-11-23 01:27:36,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:30:20.4524527Z [2022-11-23 01:27:36,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:30:20.4524780Z [2022-11-23 01:27:36,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.4525057Z [2022-11-23 01:27:36,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4525290Z [2022-11-23 01:27:36,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.4525560Z [2022-11-23 01:27:36,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4525864Z [2022-11-23 01:27:36,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:30:20.4526211Z [2022-11-23 01:27:36,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:30:20.4526478Z [2022-11-23 01:27:36,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4526782Z [2022-11-23 01:27:36,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4527046Z [2022-11-23 01:27:36,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4527288Z [2022-11-23 01:27:36,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4527658Z [2022-11-23 01:27:36,215] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169fd0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1275>
2022-11-23T01:30:20.4527900Z [2022-11-23 01:27:36,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4528134Z [2022-11-23 01:27:36,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4528386Z [2022-11-23 01:27:36,216] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4528631Z [2022-11-23 01:27:36,221] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4528818Z [2022-11-23 01:27:36,221] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4528950Z  __compiled_fn_381 <eval_with_key>.3100 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4529037Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4529208Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4529341Z call_method, squeeze, squeeze, (add, -1), {}
2022-11-23T01:30:20.4529448Z call_method, squeeze_1, squeeze, (squeeze, 2), {}
2022-11-23T01:30:20.4529626Z call_function, add_1, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:30:20.4529735Z call_method, squeeze_2, squeeze, (ex_0_, 0), {}
2022-11-23T01:30:20.4529912Z call_function, add_2, <built-in function add>, (squeeze_2, 2), {}
2022-11-23T01:30:20.4530053Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:30:20.4530058Z 
2022-11-23T01:30:20.4530381Z [2022-11-23 01:27:36,221] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4530473Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4530549Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4530633Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4530722Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4530807Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4530893Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4530967Z              12 RETURN_VALUE
2022-11-23T01:30:20.4530998Z 
2022-11-23T01:30:20.4531059Z  
2022-11-23T01:30:20.4531370Z [2022-11-23 01:27:36,222] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4531477Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_381)
2022-11-23T01:30:20.4531564Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4531651Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4531727Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4531813Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4531913Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4532015Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4532091Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4532164Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4532261Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4532349Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4532423Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4532508Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.4532582Z              26 RETURN_VALUE
2022-11-23T01:30:20.4532587Z 
2022-11-23T01:30:20.4532636Z  
2022-11-23T01:30:20.4532816Z [2022-11-23 01:27:36,222] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4532884Z  - 
2022-11-23T01:30:20.4533002Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4533065Z             {
2022-11-23T01:30:20.4533204Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4533387Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4533492Z                 'obj_weakref': None
2022-11-23T01:30:20.4533715Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4533781Z             }
2022-11-23T01:30:20.4533842Z             
2022-11-23T01:30:20.4533911Z  - 
2022-11-23T01:30:20.4534033Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4534094Z             {
2022-11-23T01:30:20.4534224Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4534332Z                 'code': None,
2022-11-23T01:30:20.4534543Z                 'obj_weakref': <weakref at 0x7ff5a80d1a30; to 'Tensor' at 0x7ff5a80704f0>
2022-11-23T01:30:20.4534794Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4534856Z             }
2022-11-23T01:30:20.4534916Z             
2022-11-23T01:30:20.4534984Z  - 
2022-11-23T01:30:20.4535100Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4535162Z             {
2022-11-23T01:30:20.4535294Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4535461Z                 'code': ['___check_obj_id(model, 140692655630816)'],
2022-11-23T01:30:20.4535580Z                 'obj_weakref': None
2022-11-23T01:30:20.4535808Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4535871Z             }
2022-11-23T01:30:20.4535921Z             
2022-11-23T01:30:20.4536018Z  - 
2022-11-23T01:30:20.4536139Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4536199Z             {
2022-11-23T01:30:20.4536330Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4536670Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4536785Z                 'obj_weakref': None
2022-11-23T01:30:20.4536991Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4537053Z             }
2022-11-23T01:30:20.4537114Z             
2022-11-23T01:30:20.4537371Z [2022-11-23 01:27:36,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 373
2022-11-23T01:30:20.4537739Z [2022-11-23 01:27:37,630] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ek/cek2yhmgtmcqzkdyt3whv5oem6l4vmsibhaofpy3cpqoq2ggdnqx.py
2022-11-23T01:30:20.4538049Z [2022-11-23 01:27:37,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 373
2022-11-23T01:30:20.4538054Z 
2022-11-23T01:30:20.4538148Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4538216Z import torch
2022-11-23T01:30:20.4538272Z import random
2022-11-23T01:30:20.4538386Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4538506Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4538511Z 
2022-11-23T01:30:20.4538587Z aten = torch.ops.aten
2022-11-23T01:30:20.4538720Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4538811Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4538816Z 
2022-11-23T01:30:20.4538821Z 
2022-11-23T01:30:20.4538952Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4539157Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4539267Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4539367Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4539462Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.4539522Z {
2022-11-23T01:30:20.4539620Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4539680Z     {
2022-11-23T01:30:20.4539756Z         #pragma omp for 
2022-11-23T01:30:20.4539825Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.4539885Z         {
2022-11-23T01:30:20.4540024Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4540158Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.4540241Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4540368Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.4540450Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4540532Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:30:20.4540610Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4540699Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.4540761Z         }
2022-11-23T01:30:20.4540852Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4540933Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.4540993Z         {
2022-11-23T01:30:20.4541062Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4541160Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.4541242Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4541338Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:30:20.4541419Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4541499Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:30:20.4541577Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.4541642Z             out_ptr1[i0] = tmp5;
2022-11-23T01:30:20.4541705Z         }
2022-11-23T01:30:20.4541768Z     }
2022-11-23T01:30:20.4541826Z }
2022-11-23T01:30:20.4541905Z ''')
2022-11-23T01:30:20.4541911Z 
2022-11-23T01:30:20.4541915Z 
2022-11-23T01:30:20.4542036Z async_compile.wait(globals())
2022-11-23T01:30:20.4542108Z del async_compile
2022-11-23T01:30:20.4542113Z 
2022-11-23T01:30:20.4542181Z def call(args):
2022-11-23T01:30:20.4542239Z     arg0_1, = args
2022-11-23T01:30:20.4542308Z     args.clear()
2022-11-23T01:30:20.4542523Z     buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4542746Z     buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 16, 4, 2, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4542907Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.4542974Z     del arg0_1
2022-11-23T01:30:20.4543048Z     return (buf0, buf1, )
2022-11-23T01:30:20.4543053Z 
2022-11-23T01:30:20.4543058Z 
2022-11-23T01:30:20.4543120Z if __name__ == "__main__":
2022-11-23T01:30:20.4543257Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4543377Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4543606Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4543713Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4543718Z 
2022-11-23T01:30:20.4543785Z ok (1.427s)
2022-11-23T01:30:20.4544087Z   test_stack_cpu (__main__.CpuTests) ... [2022-11-23 01:27:37,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4544406Z [2022-11-23 01:27:37,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4544625Z [2022-11-23 01:27:37,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4544865Z [2022-11-23 01:27:37,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4545144Z [2022-11-23 01:27:37,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4545463Z [2022-11-23 01:27:37,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4545811Z [2022-11-23 01:27:37,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4546132Z [2022-11-23 01:27:37,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4546508Z [2022-11-23 01:27:37,637] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f5c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599> 
2022-11-23T01:30:20.4546606Z  2600           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4546703Z                2 LOAD_METHOD              1 (stack)
2022-11-23T01:30:20.4546709Z 
2022-11-23T01:30:20.4546800Z 2602           4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4546896Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:30:20.4546974Z                8 LOAD_CONST               1 (12)
2022-11-23T01:30:20.4547064Z               10 LOAD_CONST               2 (16)
2022-11-23T01:30:20.4547153Z               12 CALL_METHOD              2
2022-11-23T01:30:20.4547158Z 
2022-11-23T01:30:20.4547248Z 2603          14 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4547341Z               16 LOAD_METHOD              2 (expand)
2022-11-23T01:30:20.4547429Z               18 LOAD_CONST               1 (12)
2022-11-23T01:30:20.4547519Z               20 LOAD_CONST               2 (16)
2022-11-23T01:30:20.4547594Z               22 CALL_METHOD              2
2022-11-23T01:30:20.4547599Z 
2022-11-23T01:30:20.4547687Z 2601          24 BUILD_LIST               2
2022-11-23T01:30:20.4547693Z 
2022-11-23T01:30:20.4547781Z 2605          26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4547785Z 
2022-11-23T01:30:20.4547899Z 2600          28 CALL_METHOD              2
2022-11-23T01:30:20.4547978Z               30 RETURN_VALUE
2022-11-23T01:30:20.4548040Z  
2022-11-23T01:30:20.4548045Z 
2022-11-23T01:30:20.4548360Z [2022-11-23 01:27:37,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T01:30:20.4548582Z [2022-11-23 01:27:37,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4548949Z [2022-11-23 01:27:37,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4549248Z [2022-11-23 01:27:37,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2602
2022-11-23T01:30:20.4549595Z [2022-11-23 01:27:37,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4549951Z [2022-11-23 01:27:37,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4550341Z [2022-11-23 01:27:37,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:30:20.4550771Z [2022-11-23 01:27:37,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:30:20.4551241Z [2022-11-23 01:27:37,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4551558Z [2022-11-23 01:27:37,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2603
2022-11-23T01:30:20.4551902Z [2022-11-23 01:27:37,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4552282Z [2022-11-23 01:27:37,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4552696Z [2022-11-23 01:27:37,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:30:20.4553156Z [2022-11-23 01:27:37,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:30:20.4553646Z [2022-11-23 01:27:37,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4554033Z [2022-11-23 01:27:37,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2601
2022-11-23T01:30:20.4554419Z [2022-11-23 01:27:37,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4554732Z [2022-11-23 01:27:37,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2605
2022-11-23T01:30:20.4555094Z [2022-11-23 01:27:37,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.4555406Z [2022-11-23 01:27:37,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2600
2022-11-23T01:30:20.4555787Z [2022-11-23 01:27:37,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7ff5d7c59c60>), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4556036Z [2022-11-23 01:27:37,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4556415Z [2022-11-23 01:27:37,641] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f5c60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2599>
2022-11-23T01:30:20.4556690Z [2022-11-23 01:27:37,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4556925Z [2022-11-23 01:27:37,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4557179Z [2022-11-23 01:27:37,642] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4557424Z [2022-11-23 01:27:37,646] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4557608Z [2022-11-23 01:27:37,646] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4557742Z  __compiled_fn_382 <eval_with_key>.3106 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4557820Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4557904Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.4558013Z call_method, expand, expand, (ex_0_, 12, 16), {}
2022-11-23T01:30:20.4558117Z call_method, expand_1, expand, (ex_1_, 12, 16), {}
2022-11-23T01:30:20.4558371Z call_function, stack, <built-in method stack of type object at 0x7ff5d7c59c60>, ([expand, expand_1], 2), {}
2022-11-23T01:30:20.4558468Z output, output, output, ((stack,),), {}
2022-11-23T01:30:20.4558474Z 
2022-11-23T01:30:20.4558796Z [2022-11-23 01:27:37,646] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4558885Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4558963Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4559047Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4559138Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4559221Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4559308Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4559384Z              12 RETURN_VALUE
2022-11-23T01:30:20.4559390Z 
2022-11-23T01:30:20.4559448Z  
2022-11-23T01:30:20.4559757Z [2022-11-23 01:27:37,646] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4559861Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_382)
2022-11-23T01:30:20.4559948Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4560035Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4560110Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4560196Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4560284Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4560345Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.4560430Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.4560517Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.4560589Z              18 RETURN_VALUE
2022-11-23T01:30:20.4560596Z 
2022-11-23T01:30:20.4560655Z  
2022-11-23T01:30:20.4560835Z [2022-11-23 01:27:37,647] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4560903Z  - 
2022-11-23T01:30:20.4561074Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4561127Z             {
2022-11-23T01:30:20.4561266Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4561451Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4561572Z                 'obj_weakref': None
2022-11-23T01:30:20.4561793Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4561857Z             }
2022-11-23T01:30:20.4561920Z             
2022-11-23T01:30:20.4561977Z  - 
2022-11-23T01:30:20.4562098Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4562161Z             {
2022-11-23T01:30:20.4562302Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4562408Z                 'code': None,
2022-11-23T01:30:20.4562649Z                 'obj_weakref': <weakref at 0x7ff59c05ce00; to 'Tensor' at 0x7ff58fd284a0>
2022-11-23T01:30:20.4562903Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4562953Z             }
2022-11-23T01:30:20.4563014Z             
2022-11-23T01:30:20.4563083Z  - 
2022-11-23T01:30:20.4563204Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.4563267Z             {
2022-11-23T01:30:20.4563408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4563500Z                 'code': None,
2022-11-23T01:30:20.4563708Z                 'obj_weakref': <weakref at 0x7ff57f8e1f30; to 'Tensor' at 0x7ff58fd29760>
2022-11-23T01:30:20.4563956Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4564018Z             }
2022-11-23T01:30:20.4564080Z             
2022-11-23T01:30:20.4564149Z  - 
2022-11-23T01:30:20.4564279Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4564343Z             {
2022-11-23T01:30:20.4564464Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4564633Z                 'code': ['___check_obj_id(model, 140692655633264)'],
2022-11-23T01:30:20.4564750Z                 'obj_weakref': None
2022-11-23T01:30:20.4564975Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4565038Z             }
2022-11-23T01:30:20.4565097Z             
2022-11-23T01:30:20.4565164Z  - 
2022-11-23T01:30:20.4565272Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4565333Z             {
2022-11-23T01:30:20.4565466Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4565681Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4565795Z                 'obj_weakref': None
2022-11-23T01:30:20.4566010Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4566073Z             }
2022-11-23T01:30:20.4566122Z             
2022-11-23T01:30:20.4566189Z  - 
2022-11-23T01:30:20.4566322Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4566384Z             {
2022-11-23T01:30:20.4566499Z                 'guard_types': None,
2022-11-23T01:30:20.4566603Z                 'code': None,
2022-11-23T01:30:20.4566705Z                 'obj_weakref': None
2022-11-23T01:30:20.4566822Z                 'guarded_class': None
2022-11-23T01:30:20.4566882Z             }
2022-11-23T01:30:20.4566943Z             
2022-11-23T01:30:20.4567198Z [2022-11-23 01:27:37,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 374
2022-11-23T01:30:20.4567568Z [2022-11-23 01:27:39,129] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nj/cnj6f4l4fxgcqsykiwtxmfqgboanarslkhdgnaqkgki4jkdjthea.py
2022-11-23T01:30:20.4567830Z [2022-11-23 01:27:39,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 374
2022-11-23T01:30:20.4567838Z 
2022-11-23T01:30:20.4567929Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4568012Z import torch
2022-11-23T01:30:20.4568082Z import random
2022-11-23T01:30:20.4568194Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4568313Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4568319Z 
2022-11-23T01:30:20.4568397Z aten = torch.ops.aten
2022-11-23T01:30:20.4568528Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4568617Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4568622Z 
2022-11-23T01:30:20.4568627Z 
2022-11-23T01:30:20.4568755Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4568947Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4569065Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4569196Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.4569293Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4569391Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.4569451Z {
2022-11-23T01:30:20.4569547Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4569596Z     {
2022-11-23T01:30:20.4569674Z         #pragma omp for 
2022-11-23T01:30:20.4569755Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.4569814Z         {
2022-11-23T01:30:20.4569891Z             #pragma GCC ivdep
2022-11-23T01:30:20.4569974Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:30:20.4570037Z             {
2022-11-23T01:30:20.4570088Z                 {
2022-11-23T01:30:20.4570153Z                     {
2022-11-23T01:30:20.4570245Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.4570341Z                         out_ptr0[(2*i1) + (32*i0)] = tmp0;
2022-11-23T01:30:20.4570408Z                     }
2022-11-23T01:30:20.4570471Z                 }
2022-11-23T01:30:20.4570531Z             }
2022-11-23T01:30:20.4570581Z         }
2022-11-23T01:30:20.4570655Z         #pragma omp for 
2022-11-23T01:30:20.4570737Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.4570797Z         {
2022-11-23T01:30:20.4570874Z             #pragma GCC ivdep
2022-11-23T01:30:20.4570955Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:30:20.4571006Z             {
2022-11-23T01:30:20.4571067Z                 {
2022-11-23T01:30:20.4571130Z                     {
2022-11-23T01:30:20.4571223Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:20.4571323Z                         out_ptr1[(2*i1) + (32*i0)] = tmp0;
2022-11-23T01:30:20.4571386Z                     }
2022-11-23T01:30:20.4571446Z                 }
2022-11-23T01:30:20.4571495Z             }
2022-11-23T01:30:20.4571555Z         }
2022-11-23T01:30:20.4571615Z     }
2022-11-23T01:30:20.4571674Z }
2022-11-23T01:30:20.4571750Z ''')
2022-11-23T01:30:20.4571755Z 
2022-11-23T01:30:20.4571761Z 
2022-11-23T01:30:20.4571848Z async_compile.wait(globals())
2022-11-23T01:30:20.4571917Z del async_compile
2022-11-23T01:30:20.4571922Z 
2022-11-23T01:30:20.4571978Z def call(args):
2022-11-23T01:30:20.4572053Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4572122Z     args.clear()
2022-11-23T01:30:20.4572325Z     buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4572428Z     buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1))  # alias
2022-11-23T01:30:20.4572530Z     buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1)  # alias
2022-11-23T01:30:20.4572717Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.4572784Z     del arg0_1
2022-11-23T01:30:20.4572837Z     del arg1_1
2022-11-23T01:30:20.4572906Z     return (buf2, )
2022-11-23T01:30:20.4572912Z 
2022-11-23T01:30:20.4572917Z 
2022-11-23T01:30:20.4572991Z if __name__ == "__main__":
2022-11-23T01:30:20.4573106Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4573228Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4573466Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4573663Z     arg1_1 = rand_strided((12, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4573776Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4573781Z 
2022-11-23T01:30:20.4573835Z ok (1.499s)
2022-11-23T01:30:20.4574134Z   test_std_cpu (__main__.CpuTests) ... [2022-11-23 01:27:39,135] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4574449Z [2022-11-23 01:27:39,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4574665Z [2022-11-23 01:27:39,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4574944Z [2022-11-23 01:27:39,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4575223Z [2022-11-23 01:27:39,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4575540Z [2022-11-23 01:27:39,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4575883Z [2022-11-23 01:27:39,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4576205Z [2022-11-23 01:27:39,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4576702Z [2022-11-23 01:27:39,136] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d113890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285> 
2022-11-23T01:30:20.4576788Z  2287           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4576880Z                2 LOAD_METHOD              1 (var)
2022-11-23T01:30:20.4576973Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4577066Z                6 LOAD_CONST               1 (True)
2022-11-23T01:30:20.4577151Z                8 CALL_METHOD              2
2022-11-23T01:30:20.4577157Z 
2022-11-23T01:30:20.4577251Z 2288          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4577341Z               12 LOAD_METHOD              1 (var)
2022-11-23T01:30:20.4577429Z               14 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4577506Z               16 LOAD_CONST               2 (False)
2022-11-23T01:30:20.4577594Z               18 CALL_METHOD              2
2022-11-23T01:30:20.4577599Z 
2022-11-23T01:30:20.4577689Z 2289          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4577778Z               22 LOAD_METHOD              1 (var)
2022-11-23T01:30:20.4577871Z               24 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4578008Z               26 LOAD_CONST               3 (-1)
2022-11-23T01:30:20.4578102Z               28 LOAD_CONST               1 (True)
2022-11-23T01:30:20.4578177Z               30 CALL_METHOD              3
2022-11-23T01:30:20.4578181Z 
2022-11-23T01:30:20.4578272Z 2290          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4578360Z               34 LOAD_METHOD              1 (var)
2022-11-23T01:30:20.4578445Z               36 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4578581Z               38 LOAD_CONST               3 (-1)
2022-11-23T01:30:20.4578671Z               40 LOAD_CONST               2 (False)
2022-11-23T01:30:20.4578757Z               42 CALL_METHOD              3
2022-11-23T01:30:20.4578762Z 
2022-11-23T01:30:20.4578850Z 2291          44 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4578926Z               46 LOAD_METHOD              2 (std)
2022-11-23T01:30:20.4579014Z               48 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4579102Z               50 LOAD_CONST               2 (False)
2022-11-23T01:30:20.4579186Z               52 CALL_METHOD              2
2022-11-23T01:30:20.4579237Z 
2022-11-23T01:30:20.4579327Z 2292          54 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4579413Z               56 LOAD_METHOD              2 (std)
2022-11-23T01:30:20.4579504Z               58 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4579579Z               60 LOAD_CONST               4 (0)
2022-11-23T01:30:20.4579666Z               62 LOAD_CONST               5 (1)
2022-11-23T01:30:20.4579751Z               64 BUILD_LIST               2
2022-11-23T01:30:20.4579841Z               66 LOAD_CONST               1 (True)
2022-11-23T01:30:20.4579926Z               68 CALL_METHOD              3
2022-11-23T01:30:20.4579931Z 
2022-11-23T01:30:20.4580019Z 2293          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4580106Z               72 LOAD_METHOD              2 (std)
2022-11-23T01:30:20.4580228Z               74 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4580302Z               76 LOAD_CONST               4 (0)
2022-11-23T01:30:20.4580389Z               78 LOAD_CONST               5 (1)
2022-11-23T01:30:20.4580472Z               80 BUILD_LIST               2
2022-11-23T01:30:20.4580560Z               82 LOAD_CONST               2 (False)
2022-11-23T01:30:20.4580643Z               84 CALL_METHOD              3
2022-11-23T01:30:20.4580648Z 
2022-11-23T01:30:20.4580735Z 2294          86 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4580821Z               88 LOAD_ATTR                2 (std)
2022-11-23T01:30:20.4580895Z               90 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4581030Z               92 LOAD_CONST               6 (-2)
2022-11-23T01:30:20.4581118Z               94 LOAD_CONST               1 (True)
2022-11-23T01:30:20.4581204Z               96 LOAD_CONST               1 (True)
2022-11-23T01:30:20.4581354Z               98 LOAD_CONST               7 (('keepdim',))
2022-11-23T01:30:20.4581447Z              100 CALL_FUNCTION_KW         4
2022-11-23T01:30:20.4581452Z 
2022-11-23T01:30:20.4581539Z 2286         102 BUILD_TUPLE              8
2022-11-23T01:30:20.4581612Z              104 RETURN_VALUE
2022-11-23T01:30:20.4581661Z  
2022-11-23T01:30:20.4581666Z 
2022-11-23T01:30:20.4581983Z [2022-11-23 01:27:39,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2287
2022-11-23T01:30:20.4582201Z [2022-11-23 01:27:39,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4582569Z [2022-11-23 01:27:39,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4582886Z [2022-11-23 01:27:39,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4583236Z [2022-11-23 01:27:39,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4583624Z [2022-11-23 01:27:39,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.4583934Z [2022-11-23 01:27:39,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2288
2022-11-23T01:30:20.4584180Z [2022-11-23 01:27:39,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.4584568Z [2022-11-23 01:27:39,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4584913Z [2022-11-23 01:27:39,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4585318Z [2022-11-23 01:27:39,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4585725Z [2022-11-23 01:27:39,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.4586037Z [2022-11-23 01:27:39,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2289
2022-11-23T01:30:20.4586306Z [2022-11-23 01:27:39,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4586754Z [2022-11-23 01:27:39,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4587123Z [2022-11-23 01:27:39,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4587527Z [2022-11-23 01:27:39,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4587968Z [2022-11-23 01:27:39,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4588455Z [2022-11-23 01:27:39,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.4588766Z [2022-11-23 01:27:39,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2290
2022-11-23T01:30:20.4589063Z [2022-11-23 01:27:39,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4589508Z [2022-11-23 01:27:39,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4589906Z [2022-11-23 01:27:39,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4590342Z [2022-11-23 01:27:39,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4590823Z [2022-11-23 01:27:39,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4591335Z [2022-11-23 01:27:39,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.4591646Z [2022-11-23 01:27:39,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2291
2022-11-23T01:30:20.4591995Z [2022-11-23 01:27:39,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4592471Z [2022-11-23 01:27:39,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4592898Z [2022-11-23 01:27:39,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4593362Z [2022-11-23 01:27:39,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4593985Z [2022-11-23 01:27:39,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.4594301Z [2022-11-23 01:27:39,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2292
2022-11-23T01:30:20.4594654Z [2022-11-23 01:27:39,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4595164Z [2022-11-23 01:27:39,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4595630Z [2022-11-23 01:27:39,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4596117Z [2022-11-23 01:27:39,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4596643Z [2022-11-23 01:27:39,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4597211Z [2022-11-23 01:27:39,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4597734Z [2022-11-23 01:27:39,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.4598293Z [2022-11-23 01:27:39,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.4598607Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2293
2022-11-23T01:30:20.4599023Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4599553Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4600038Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4600563Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4601146Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4601740Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4602287Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.4602874Z [2022-11-23 01:27:39,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.4603187Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2294
2022-11-23T01:30:20.4603597Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4604158Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4604662Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4605207Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4605819Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4606446Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.4607116Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:30:20.4607870Z [2022-11-23 01:27:39,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.4608171Z [2022-11-23 01:27:39,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2286
2022-11-23T01:30:20.4608609Z [2022-11-23 01:27:39,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4608855Z [2022-11-23 01:27:39,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4609232Z [2022-11-23 01:27:39,150] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d113890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2285>
2022-11-23T01:30:20.4609476Z [2022-11-23 01:27:39,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4609711Z [2022-11-23 01:27:39,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4609965Z [2022-11-23 01:27:39,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4610212Z [2022-11-23 01:27:39,159] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4610399Z [2022-11-23 01:27:39,159] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4610535Z  __compiled_fn_383 <eval_with_key>.3112 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4610613Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4610846Z call_function, var, <built-in method var of type object at 0x7ff5d7c59c60>, (ex_0_, True), {}
2022-11-23T01:30:20.4611077Z call_function, var_1, <built-in method var of type object at 0x7ff5d7c59c60>, (ex_0_, False), {}
2022-11-23T01:30:20.4611309Z call_function, var_2, <built-in method var of type object at 0x7ff5d7c59c60>, (ex_0_, -1, True), {}
2022-11-23T01:30:20.4611543Z call_function, var_3, <built-in method var of type object at 0x7ff5d7c59c60>, (ex_0_, -1, False), {}
2022-11-23T01:30:20.4611768Z call_function, std, <built-in method std of type object at 0x7ff5d7c59c60>, (ex_0_, False), {}
2022-11-23T01:30:20.4612007Z call_function, std_1, <built-in method std of type object at 0x7ff5d7c59c60>, (ex_0_, [0, 1], True), {}
2022-11-23T01:30:20.4612245Z call_function, std_2, <built-in method std of type object at 0x7ff5d7c59c60>, (ex_0_, [0, 1], False), {}
2022-11-23T01:30:20.4612498Z call_function, std_3, <built-in method std of type object at 0x7ff5d7c59c60>, (ex_0_, -2, True), {'keepdim': True}
2022-11-23T01:30:20.4612624Z output, output, output, ((var, var_1, var_2, var_3, std, std_1, std_2, std_3),), {}
2022-11-23T01:30:20.4612630Z 
2022-11-23T01:30:20.4612987Z [2022-11-23 01:27:39,160] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4613082Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4613171Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4613259Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4613350Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4613434Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4613520Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4613582Z              12 RETURN_VALUE
2022-11-23T01:30:20.4613587Z 
2022-11-23T01:30:20.4613646Z  
2022-11-23T01:30:20.4613967Z [2022-11-23 01:27:39,160] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4614102Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_383)
2022-11-23T01:30:20.4614194Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4614282Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4614356Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4614445Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4614537Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4614636Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4614724Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4614800Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4614898Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4614984Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4615058Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4615146Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4615232Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4615307Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4615407Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4615491Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.4615563Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.4615661Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4615735Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.4615808Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.4615905Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4615989Z              44 LOAD_CONST               6 (5)
2022-11-23T01:30:20.4616061Z              46 BINARY_SUBSCR
2022-11-23T01:30:20.4616156Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4616241Z              50 LOAD_CONST               7 (6)
2022-11-23T01:30:20.4616304Z              52 BINARY_SUBSCR
2022-11-23T01:30:20.4616401Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4616604Z              56 LOAD_CONST               8 (7)
2022-11-23T01:30:20.4616679Z              58 BINARY_SUBSCR
2022-11-23T01:30:20.4616764Z              60 BUILD_TUPLE              8
2022-11-23T01:30:20.4616837Z              62 RETURN_VALUE
2022-11-23T01:30:20.4616842Z 
2022-11-23T01:30:20.4616904Z  
2022-11-23T01:30:20.4617076Z [2022-11-23 01:27:39,160] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4617146Z  - 
2022-11-23T01:30:20.4617265Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4617329Z             {
2022-11-23T01:30:20.4617469Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4617654Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4617772Z                 'obj_weakref': None
2022-11-23T01:30:20.4617986Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4618050Z             }
2022-11-23T01:30:20.4618116Z             
2022-11-23T01:30:20.4618243Z  - 
2022-11-23T01:30:20.4618369Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4618431Z             {
2022-11-23T01:30:20.4618573Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4618666Z                 'code': None,
2022-11-23T01:30:20.4618879Z                 'obj_weakref': <weakref at 0x7ff58fe75fd0; to 'Tensor' at 0x7ff58fdc04a0>
2022-11-23T01:30:20.4619130Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4619193Z             }
2022-11-23T01:30:20.4619257Z             
2022-11-23T01:30:20.4619325Z  - 
2022-11-23T01:30:20.4619453Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4619503Z             {
2022-11-23T01:30:20.4619637Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4619844Z                 'code': ['___check_obj_id(model, 140693067546976)'],
2022-11-23T01:30:20.4619961Z                 'obj_weakref': None
2022-11-23T01:30:20.4620197Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4620260Z             }
2022-11-23T01:30:20.4620323Z             
2022-11-23T01:30:20.4620379Z  - 
2022-11-23T01:30:20.4620499Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4620560Z             {
2022-11-23T01:30:20.4620697Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4620914Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4621029Z                 'obj_weakref': None
2022-11-23T01:30:20.4621249Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4621299Z             }
2022-11-23T01:30:20.4621361Z             
2022-11-23T01:30:20.4621432Z  - 
2022-11-23T01:30:20.4621563Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4621624Z             {
2022-11-23T01:30:20.4621740Z                 'guard_types': None,
2022-11-23T01:30:20.4621846Z                 'code': None,
2022-11-23T01:30:20.4621949Z                 'obj_weakref': None
2022-11-23T01:30:20.4622068Z                 'guarded_class': None
2022-11-23T01:30:20.4622130Z             }
2022-11-23T01:30:20.4622191Z             
2022-11-23T01:30:20.4622449Z [2022-11-23 01:27:39,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 375
2022-11-23T01:30:20.4622455Z 
2022-11-23T01:30:20.4622544Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4622612Z import torch
2022-11-23T01:30:20.4622668Z import random
2022-11-23T01:30:20.4622781Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4622901Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4622906Z 
2022-11-23T01:30:20.4622985Z aten = torch.ops.aten
2022-11-23T01:30:20.4623116Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4623207Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4623212Z 
2022-11-23T01:30:20.4623218Z 
2022-11-23T01:30:20.4623351Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4623555Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4623660Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.4623760Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:20.4623858Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:30:20.4623955Z                        float* __restrict__ in_out_ptr3,
2022-11-23T01:30:20.4624053Z                        float* __restrict__ in_out_ptr4,
2022-11-23T01:30:20.4624149Z                        float* __restrict__ in_out_ptr5,
2022-11-23T01:30:20.4624245Z                        float* __restrict__ in_out_ptr6,
2022-11-23T01:30:20.4624348Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4624434Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4624557Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.4624651Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:20.4624744Z                        float* __restrict__ out_ptr5,
2022-11-23T01:30:20.4624834Z                        float* __restrict__ out_ptr7,
2022-11-23T01:30:20.4624930Z                        float* __restrict__ out_ptr10,
2022-11-23T01:30:20.4625026Z                        float* __restrict__ out_ptr12,
2022-11-23T01:30:20.4625108Z                        float* __restrict__ out_ptr14)
2022-11-23T01:30:20.4625167Z {
2022-11-23T01:30:20.4625252Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.4625333Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T01:30:20.4625413Z     auto out_ptr6 = in_out_ptr2;
2022-11-23T01:30:20.4625492Z     auto out_ptr8 = in_out_ptr3;
2022-11-23T01:30:20.4625598Z     auto out_ptr9 = in_out_ptr4;
2022-11-23T01:30:20.4625670Z     auto out_ptr11 = in_out_ptr5;
2022-11-23T01:30:20.4625753Z     auto out_ptr13 = in_out_ptr6;
2022-11-23T01:30:20.4625815Z     {
2022-11-23T01:30:20.4626008Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4626083Z         float tmp1 = 0;
2022-11-23T01:30:20.4626199Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.4626300Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4626349Z         {
2022-11-23T01:30:20.4626454Z             #pragma omp for reduction(+:tmp1_vec) 
2022-11-23T01:30:20.4626537Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4626598Z             {
2022-11-23T01:30:20.4626731Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4626808Z                 tmp1_vec += tmp0;
2022-11-23T01:30:20.4626869Z             }
2022-11-23T01:30:20.4627064Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.4627176Z             #pragma omp for simd simdlen(4) reduction(+:tmp1) 
2022-11-23T01:30:20.4627264Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:20.4627329Z             {
2022-11-23T01:30:20.4627415Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4627489Z                 tmp1 += tmp0;
2022-11-23T01:30:20.4627550Z             }
2022-11-23T01:30:20.4627612Z         }
2022-11-23T01:30:20.4627675Z         out_ptr0[0] = tmp1;
2022-11-23T01:30:20.4627735Z     }
2022-11-23T01:30:20.4627794Z     {
2022-11-23T01:30:20.4627975Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4628049Z         float tmp6 = 0;
2022-11-23T01:30:20.4628164Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.4628240Z         float tmp7 = 0;
2022-11-23T01:30:20.4628341Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:20.4628441Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4628503Z         {
2022-11-23T01:30:20.4628633Z             #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 
2022-11-23T01:30:20.4628716Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4628777Z             {
2022-11-23T01:30:20.4628910Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4629033Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[0]);
2022-11-23T01:30:20.4629154Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:30:20.4629240Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4629368Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4629455Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.4629533Z                 tmp6_vec += tmp5;
2022-11-23T01:30:20.4629612Z                 tmp7_vec += tmp0;
2022-11-23T01:30:20.4629673Z             }
2022-11-23T01:30:20.4629878Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.4630070Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:30:20.4630209Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 
2022-11-23T01:30:20.4630296Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:20.4630358Z             {
2022-11-23T01:30:20.4630445Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4630529Z                 auto tmp1 = out_ptr0[0];
2022-11-23T01:30:20.4630631Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:30:20.4630704Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4630830Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4630945Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.4631019Z                 tmp6 += tmp5;
2022-11-23T01:30:20.4631090Z                 tmp7 += tmp0;
2022-11-23T01:30:20.4631152Z             }
2022-11-23T01:30:20.4631212Z         }
2022-11-23T01:30:20.4631274Z         out_ptr1[0] = tmp6;
2022-11-23T01:30:20.4631347Z         out_ptr2[0] = tmp7;
2022-11-23T01:30:20.4631407Z     }
2022-11-23T01:30:20.4631466Z     {
2022-11-23T01:30:20.4631649Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4631721Z         float tmp6 = 0;
2022-11-23T01:30:20.4631835Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.4631895Z         float tmp7 = 0;
2022-11-23T01:30:20.4632008Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:20.4632108Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4632172Z         {
2022-11-23T01:30:20.4632306Z             #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 
2022-11-23T01:30:20.4632389Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4632451Z             {
2022-11-23T01:30:20.4632572Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4632694Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[0]);
2022-11-23T01:30:20.4632825Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:30:20.4632911Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4633038Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4633125Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.4633202Z                 tmp6_vec += tmp5;
2022-11-23T01:30:20.4633279Z                 tmp7_vec += tmp0;
2022-11-23T01:30:20.4633329Z             }
2022-11-23T01:30:20.4633518Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.4633704Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:30:20.4633925Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 
2022-11-23T01:30:20.4634017Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:20.4634081Z             {
2022-11-23T01:30:20.4634167Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4634252Z                 auto tmp1 = out_ptr2[0];
2022-11-23T01:30:20.4634342Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:30:20.4634426Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4634555Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4634638Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.4634715Z                 tmp6 += tmp5;
2022-11-23T01:30:20.4634788Z                 tmp7 += tmp0;
2022-11-23T01:30:20.4634849Z             }
2022-11-23T01:30:20.4634901Z         }
2022-11-23T01:30:20.4634975Z         out_ptr3[0] = tmp6;
2022-11-23T01:30:20.4635049Z         out_ptr4[0] = tmp7;
2022-11-23T01:30:20.4635111Z     }
2022-11-23T01:30:20.4635243Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4635303Z     {
2022-11-23T01:30:20.4635370Z         #pragma omp for 
2022-11-23T01:30:20.4635449Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4635510Z         {
2022-11-23T01:30:20.4635572Z             {
2022-11-23T01:30:20.4635758Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4635834Z                 float tmp1 = 0;
2022-11-23T01:30:20.4635953Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.4636039Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4636093Z                 {
2022-11-23T01:30:20.4636234Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4636344Z                     tmp1_vec += tmp0;
2022-11-23T01:30:20.4636409Z                 }
2022-11-23T01:30:20.4636604Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.4636724Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:20.4636812Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4636880Z                 {
2022-11-23T01:30:20.4636968Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4637045Z                     tmp1 += tmp0;
2022-11-23T01:30:20.4637110Z                 }
2022-11-23T01:30:20.4637192Z                 out_ptr5[i0] = tmp1;
2022-11-23T01:30:20.4637256Z             }
2022-11-23T01:30:20.4637319Z         }
2022-11-23T01:30:20.4637383Z         #pragma omp for 
2022-11-23T01:30:20.4637465Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4637527Z         {
2022-11-23T01:30:20.4637592Z             {
2022-11-23T01:30:20.4637779Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4637859Z                 float tmp6 = 0;
2022-11-23T01:30:20.4637979Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.4638057Z                 float tmp7 = 0;
2022-11-23T01:30:20.4638163Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:20.4638251Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4638317Z                 {
2022-11-23T01:30:20.4638459Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4638587Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr5[i0]);
2022-11-23T01:30:20.4638725Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:30:20.4638817Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4638957Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4639036Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.4639120Z                     tmp6_vec += tmp5;
2022-11-23T01:30:20.4639202Z                     tmp7_vec += tmp0;
2022-11-23T01:30:20.4639268Z                 }
2022-11-23T01:30:20.4639465Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.4639656Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:30:20.4639796Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:30:20.4639885Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4639937Z                 {
2022-11-23T01:30:20.4640037Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4640130Z                     auto tmp1 = out_ptr5[i0];
2022-11-23T01:30:20.4640232Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T01:30:20.4640349Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4640484Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4640572Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.4640636Z                     tmp6 += tmp5;
2022-11-23T01:30:20.4640712Z                     tmp7 += tmp0;
2022-11-23T01:30:20.4640778Z                 }
2022-11-23T01:30:20.4640859Z                 out_ptr6[i0] = tmp6;
2022-11-23T01:30:20.4640939Z                 out_ptr7[i0] = tmp7;
2022-11-23T01:30:20.4640999Z             }
2022-11-23T01:30:20.4641062Z         }
2022-11-23T01:30:20.4641125Z         #pragma omp for 
2022-11-23T01:30:20.4641203Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4641266Z         {
2022-11-23T01:30:20.4641327Z             {
2022-11-23T01:30:20.4641514Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4641620Z                 float tmp6 = 0;
2022-11-23T01:30:20.4641739Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.4641815Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4641879Z                 {
2022-11-23T01:30:20.4642019Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4642145Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr7[i0]);
2022-11-23T01:30:20.4642279Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:30:20.4642371Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4642507Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4642594Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.4642662Z                     tmp6_vec += tmp5;
2022-11-23T01:30:20.4642724Z                 }
2022-11-23T01:30:20.4642920Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.4643040Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6)
2022-11-23T01:30:20.4643129Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4643196Z                 {
2022-11-23T01:30:20.4643291Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4643384Z                     auto tmp1 = out_ptr7[i0];
2022-11-23T01:30:20.4643474Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T01:30:20.4643564Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4643694Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4643781Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.4643857Z                     tmp6 += tmp5;
2022-11-23T01:30:20.4643919Z                 }
2022-11-23T01:30:20.4643998Z                 out_ptr8[i0] = tmp6;
2022-11-23T01:30:20.4644050Z             }
2022-11-23T01:30:20.4644109Z         }
2022-11-23T01:30:20.4644168Z     }
2022-11-23T01:30:20.4644228Z     {
2022-11-23T01:30:20.4644413Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4644489Z         float tmp6 = 0;
2022-11-23T01:30:20.4644604Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.4644693Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4644753Z         {
2022-11-23T01:30:20.4644855Z             #pragma omp for reduction(+:tmp6_vec) 
2022-11-23T01:30:20.4644938Z             for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4644999Z             {
2022-11-23T01:30:20.4645131Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4645253Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr4[0]);
2022-11-23T01:30:20.4645386Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:30:20.4645462Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4645586Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4645701Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.4645780Z                 tmp6_vec += tmp5;
2022-11-23T01:30:20.4645842Z             }
2022-11-23T01:30:20.4646032Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.4646151Z             #pragma omp for simd simdlen(4) reduction(+:tmp6) 
2022-11-23T01:30:20.4646226Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:20.4646288Z             {
2022-11-23T01:30:20.4646373Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4646455Z                 auto tmp1 = out_ptr4[0];
2022-11-23T01:30:20.4646556Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:30:20.4646639Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4646790Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4646861Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.4646935Z                 tmp6 += tmp5;
2022-11-23T01:30:20.4646999Z             }
2022-11-23T01:30:20.4647060Z         }
2022-11-23T01:30:20.4647135Z         out_ptr9[0] = tmp6;
2022-11-23T01:30:20.4647196Z     }
2022-11-23T01:30:20.4647292Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4647340Z     {
2022-11-23T01:30:20.4647413Z         #pragma omp for 
2022-11-23T01:30:20.4647492Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4647553Z         {
2022-11-23T01:30:20.4647614Z             {
2022-11-23T01:30:20.4647677Z                 {
2022-11-23T01:30:20.4647742Z                     float tmp1 = 0;
2022-11-23T01:30:20.4647831Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.4647897Z                     {
2022-11-23T01:30:20.4647963Z                         {
2022-11-23T01:30:20.4648064Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:30:20.4648148Z                             tmp1 += tmp0;
2022-11-23T01:30:20.4648213Z                         }
2022-11-23T01:30:20.4648269Z                     }
2022-11-23T01:30:20.4648350Z                     out_ptr10[i0] = tmp1;
2022-11-23T01:30:20.4648412Z                 }
2022-11-23T01:30:20.4648474Z             }
2022-11-23T01:30:20.4648535Z         }
2022-11-23T01:30:20.4648608Z         #pragma omp for 
2022-11-23T01:30:20.4648686Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4648734Z         {
2022-11-23T01:30:20.4648795Z             {
2022-11-23T01:30:20.4648857Z                 {
2022-11-23T01:30:20.4648935Z                     float tmp6 = 0;
2022-11-23T01:30:20.4649011Z                     float tmp7 = 0;
2022-11-23T01:30:20.4649100Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.4649164Z                     {
2022-11-23T01:30:20.4649218Z                         {
2022-11-23T01:30:20.4649318Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:30:20.4649420Z                             auto tmp1 = out_ptr10[i0];
2022-11-23T01:30:20.4649526Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:30:20.4649619Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4649759Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4649850Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.4649918Z                             tmp6 += tmp5;
2022-11-23T01:30:20.4649997Z                             tmp7 += tmp0;
2022-11-23T01:30:20.4650062Z                         }
2022-11-23T01:30:20.4650126Z                     }
2022-11-23T01:30:20.4650206Z                     out_ptr11[i0] = tmp6;
2022-11-23T01:30:20.4650286Z                     out_ptr12[i0] = tmp7;
2022-11-23T01:30:20.4650348Z                 }
2022-11-23T01:30:20.4650397Z             }
2022-11-23T01:30:20.4650456Z         }
2022-11-23T01:30:20.4650533Z         #pragma omp for 
2022-11-23T01:30:20.4650611Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4650673Z         {
2022-11-23T01:30:20.4650733Z             {
2022-11-23T01:30:20.4650815Z                 {
2022-11-23T01:30:20.4650896Z                     float tmp6 = 0;
2022-11-23T01:30:20.4650985Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.4651048Z                     {
2022-11-23T01:30:20.4651113Z                         {
2022-11-23T01:30:20.4651214Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:30:20.4651311Z                             auto tmp1 = out_ptr12[i0];
2022-11-23T01:30:20.4651402Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:30:20.4651495Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.4651634Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.4651723Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.4651802Z                             tmp6 += tmp5;
2022-11-23T01:30:20.4651919Z                         }
2022-11-23T01:30:20.4651983Z                     }
2022-11-23T01:30:20.4652065Z                     out_ptr13[i0] = tmp6;
2022-11-23T01:30:20.4652119Z                 }
2022-11-23T01:30:20.4652180Z             }
2022-11-23T01:30:20.4652240Z         }
2022-11-23T01:30:20.4652318Z         #pragma omp single
2022-11-23T01:30:20.4652379Z         {
2022-11-23T01:30:20.4652440Z             {
2022-11-23T01:30:20.4652491Z                 {
2022-11-23T01:30:20.4652581Z                     auto tmp0 = out_ptr1[0];
2022-11-23T01:30:20.4652685Z                     auto tmp1 = static_cast<float>(255);
2022-11-23T01:30:20.4652774Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4652859Z                     in_out_ptr0[0] = tmp2;
2022-11-23T01:30:20.4652923Z                 }
2022-11-23T01:30:20.4652985Z             }
2022-11-23T01:30:20.4653033Z         }
2022-11-23T01:30:20.4653111Z         #pragma omp single
2022-11-23T01:30:20.4653173Z         {
2022-11-23T01:30:20.4653235Z             {
2022-11-23T01:30:20.4653296Z                 {
2022-11-23T01:30:20.4653387Z                     auto tmp0 = out_ptr3[0];
2022-11-23T01:30:20.4653491Z                     auto tmp1 = static_cast<float>(256);
2022-11-23T01:30:20.4653568Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4653652Z                     in_out_ptr1[0] = tmp2;
2022-11-23T01:30:20.4653715Z                 }
2022-11-23T01:30:20.4653777Z             }
2022-11-23T01:30:20.4653838Z         }
2022-11-23T01:30:20.4653911Z         #pragma omp for 
2022-11-23T01:30:20.4653979Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4654040Z         {
2022-11-23T01:30:20.4654174Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr6 + 8*i0);
2022-11-23T01:30:20.4654307Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T01:30:20.4654391Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4654485Z             tmp2.store(in_out_ptr2 + 8*i0);
2022-11-23T01:30:20.4654547Z         }
2022-11-23T01:30:20.4654639Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4654707Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:20.4654768Z         {
2022-11-23T01:30:20.4654850Z             auto tmp0 = out_ptr6[i0];
2022-11-23T01:30:20.4654947Z             auto tmp1 = static_cast<float>(7);
2022-11-23T01:30:20.4655028Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4655107Z             in_out_ptr2[i0] = tmp2;
2022-11-23T01:30:20.4655156Z         }
2022-11-23T01:30:20.4655228Z         #pragma omp for 
2022-11-23T01:30:20.4655306Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4655366Z         {
2022-11-23T01:30:20.4655495Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr8 + 8*i0);
2022-11-23T01:30:20.4655623Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:30:20.4655707Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4655803Z             tmp2.store(in_out_ptr3 + 8*i0);
2022-11-23T01:30:20.4655852Z         }
2022-11-23T01:30:20.4655944Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4656066Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:20.4656128Z         {
2022-11-23T01:30:20.4656210Z             auto tmp0 = out_ptr8[i0];
2022-11-23T01:30:20.4656308Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:30:20.4656391Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4656583Z             in_out_ptr3[i0] = tmp2;
2022-11-23T01:30:20.4656643Z         }
2022-11-23T01:30:20.4656721Z         #pragma omp single
2022-11-23T01:30:20.4656786Z         {
2022-11-23T01:30:20.4656848Z             {
2022-11-23T01:30:20.4656911Z                 {
2022-11-23T01:30:20.4656989Z                     auto tmp0 = out_ptr9[0];
2022-11-23T01:30:20.4657092Z                     auto tmp1 = static_cast<float>(256);
2022-11-23T01:30:20.4657181Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4657278Z                     auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:30:20.4657412Z                     in_out_ptr4[0] = tmp3;
2022-11-23T01:30:20.4657476Z                 }
2022-11-23T01:30:20.4657538Z             }
2022-11-23T01:30:20.4657589Z         }
2022-11-23T01:30:20.4657664Z         #pragma omp for 
2022-11-23T01:30:20.4657744Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4657805Z         {
2022-11-23T01:30:20.4657940Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr11 + 8*i0);
2022-11-23T01:30:20.4658072Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T01:30:20.4658155Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4658224Z             auto tmp3 = tmp2.sqrt();
2022-11-23T01:30:20.4658319Z             tmp3.store(in_out_ptr5 + 8*i0);
2022-11-23T01:30:20.4658380Z         }
2022-11-23T01:30:20.4658472Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4658552Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:20.4658618Z         {
2022-11-23T01:30:20.4658704Z             auto tmp0 = out_ptr11[i0];
2022-11-23T01:30:20.4658788Z             auto tmp1 = static_cast<float>(7);
2022-11-23T01:30:20.4658872Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4658961Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:30:20.4659041Z             in_out_ptr5[i0] = tmp3;
2022-11-23T01:30:20.4659101Z         }
2022-11-23T01:30:20.4659175Z         #pragma omp for 
2022-11-23T01:30:20.4659253Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.4659302Z         {
2022-11-23T01:30:20.4659434Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr13 + 8*i0);
2022-11-23T01:30:20.4659564Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:30:20.4659648Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4659729Z             auto tmp3 = tmp2.sqrt();
2022-11-23T01:30:20.4659824Z             tmp3.store(in_out_ptr6 + 8*i0);
2022-11-23T01:30:20.4659884Z         }
2022-11-23T01:30:20.4659966Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4660045Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:30:20.4660105Z         {
2022-11-23T01:30:20.4660193Z             auto tmp0 = out_ptr13[i0];
2022-11-23T01:30:20.4660289Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:30:20.4660370Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.4660459Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:30:20.4660527Z             in_out_ptr6[i0] = tmp3;
2022-11-23T01:30:20.4660586Z         }
2022-11-23T01:30:20.4660659Z         #pragma omp for 
2022-11-23T01:30:20.4660735Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4660798Z         {
2022-11-23T01:30:20.4660876Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4660938Z             {
2022-11-23T01:30:20.4661065Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4661206Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4661348Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4661524Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr0 + 24 + (8*i1) + (32*i0));
2022-11-23T01:30:20.4661610Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4661693Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4661775Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.4661908Z                 auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:30:20.4661993Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T01:30:20.4662118Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T01:30:20.4662208Z                 auto tmp10 = tmp9.pow(2);
2022-11-23T01:30:20.4662339Z                 auto tmp11 = tmp1 - tmp8;
2022-11-23T01:30:20.4662430Z                 auto tmp12 = tmp11.pow(2);
2022-11-23T01:30:20.4662521Z                 auto tmp13 = tmp10 + tmp12;
2022-11-23T01:30:20.4662678Z                 auto tmp14 = tmp3 - tmp8;
2022-11-23T01:30:20.4662767Z                 auto tmp15 = tmp14.pow(2);
2022-11-23T01:30:20.4662847Z                 auto tmp16 = tmp13 + tmp15;
2022-11-23T01:30:20.4662974Z                 auto tmp17 = tmp5 - tmp8;
2022-11-23T01:30:20.4663064Z                 auto tmp18 = tmp17.pow(2);
2022-11-23T01:30:20.4663154Z                 auto tmp19 = tmp16 + tmp18;
2022-11-23T01:30:20.4663290Z                 auto tmp20 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:20.4663378Z                 auto tmp21 = tmp19 / tmp20;
2022-11-23T01:30:20.4663467Z                 auto tmp22 = tmp21.sqrt();
2022-11-23T01:30:20.4663558Z                 tmp22.store(out_ptr14 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4663622Z             }
2022-11-23T01:30:20.4663715Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.4663798Z             for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4663862Z             {
2022-11-23T01:30:20.4663961Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:20.4664060Z                 auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2022-11-23T01:30:20.4664147Z                 auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2022-11-23T01:30:20.4664246Z                 auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2022-11-23T01:30:20.4664333Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4664419Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4664505Z                 auto tmp6 = tmp4 + tmp5;
2022-11-23T01:30:20.4664606Z                 auto tmp7 = static_cast<float>(4);
2022-11-23T01:30:20.4664691Z                 auto tmp8 = tmp6 / tmp7;
2022-11-23T01:30:20.4664805Z                 auto tmp9 = tmp0 - tmp8;
2022-11-23T01:30:20.4664893Z                 auto tmp10 = tmp9 * tmp9;
2022-11-23T01:30:20.4665023Z                 auto tmp11 = tmp1 - tmp8;
2022-11-23T01:30:20.4665112Z                 auto tmp12 = tmp11 * tmp11;
2022-11-23T01:30:20.4665201Z                 auto tmp13 = tmp10 + tmp12;
2022-11-23T01:30:20.4665331Z                 auto tmp14 = tmp3 - tmp8;
2022-11-23T01:30:20.4665419Z                 auto tmp15 = tmp14 * tmp14;
2022-11-23T01:30:20.4665496Z                 auto tmp16 = tmp13 + tmp15;
2022-11-23T01:30:20.4665623Z                 auto tmp17 = tmp5 - tmp8;
2022-11-23T01:30:20.4665712Z                 auto tmp18 = tmp17 * tmp17;
2022-11-23T01:30:20.4665798Z                 auto tmp19 = tmp16 + tmp18;
2022-11-23T01:30:20.4665899Z                 auto tmp20 = static_cast<float>(3);
2022-11-23T01:30:20.4665986Z                 auto tmp21 = tmp19 / tmp20;
2022-11-23T01:30:20.4666084Z                 auto tmp22 = std::sqrt(tmp21);
2022-11-23T01:30:20.4666177Z                 out_ptr14[i1 + (8*i0)] = tmp22;
2022-11-23T01:30:20.4666228Z             }
2022-11-23T01:30:20.4666293Z         }
2022-11-23T01:30:20.4666355Z     }
2022-11-23T01:30:20.4666416Z }
2022-11-23T01:30:20.4666494Z ''')
2022-11-23T01:30:20.4666501Z 
2022-11-23T01:30:20.4666505Z 
2022-11-23T01:30:20.4666596Z async_compile.wait(globals())
2022-11-23T01:30:20.4666674Z del async_compile
2022-11-23T01:30:20.4666678Z 
2022-11-23T01:30:20.4666736Z def call(args):
2022-11-23T01:30:20.4666805Z     arg0_1, = args
2022-11-23T01:30:20.4666904Z     args.clear()
2022-11-23T01:30:20.4667118Z     buf0 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4667304Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4667509Z     buf2 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4667688Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4667879Z     buf8 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4668084Z     buf4 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4668285Z     buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4668517Z     buf6 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4668717Z     buf7 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4668895Z     buf9 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4669103Z     buf10 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4669295Z     buf11 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4669487Z     buf12 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4669676Z     buf13 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4669759Z     buf14 = buf1; del buf1  # reuse
2022-11-23T01:30:20.4669839Z     buf15 = buf3; del buf3  # reuse
2022-11-23T01:30:20.4669918Z     buf16 = buf5; del buf5  # reuse
2022-11-23T01:30:20.4669996Z     buf17 = buf7; del buf7  # reuse
2022-11-23T01:30:20.4670075Z     buf18 = buf9; del buf9  # reuse
2022-11-23T01:30:20.4670159Z     buf19 = buf11; del buf11  # reuse
2022-11-23T01:30:20.4670228Z     buf20 = buf13; del buf13  # reuse
2022-11-23T01:30:20.4670433Z     buf21 = empty_strided((2, 4, 1, 8), (32, 8, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4670896Z     kernel_cpp_0(c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()), c_void_p(buf16.data_ptr()), c_void_p(buf17.data_ptr()), c_void_p(buf18.data_ptr()), c_void_p(buf19.data_ptr()), c_void_p(buf20.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf21.data_ptr()))
2022-11-23T01:30:20.4670963Z     del arg0_1
2022-11-23T01:30:20.4671080Z     return (buf14, buf15, buf16, buf17, buf18, buf19, buf20, buf21, )
2022-11-23T01:30:20.4671086Z 
2022-11-23T01:30:20.4671090Z 
2022-11-23T01:30:20.4671168Z if __name__ == "__main__":
2022-11-23T01:30:20.4671281Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4671404Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4671615Z     arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4671711Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4672079Z [2022-11-23 01:27:40,966] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnenf3jvxidb2toesz3ye65vhxmw4rqv77tqqw74dzd6puodsxd2.py
2022-11-23T01:30:20.4672342Z [2022-11-23 01:27:40,966] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 375
2022-11-23T01:30:20.4672347Z 
2022-11-23T01:30:20.4672413Z ok (1.837s)
2022-11-23T01:30:20.4672726Z   test_strided_inputs_cpu (__main__.CpuTests) ... [2022-11-23 01:27:40,973] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:20.4673045Z [2022-11-23 01:27:40,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3204
2022-11-23T01:30:20.4673279Z [2022-11-23 01:27:40,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.4673518Z [2022-11-23 01:27:40,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.4673790Z [2022-11-23 01:27:40,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4674105Z [2022-11-23 01:27:40,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4674339Z [2022-11-23 01:27:40,974] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:20.4674580Z [2022-11-23 01:27:40,975] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.4679471Z [2022-11-23 01:27:40,978] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.4679775Z [2022-11-23 01:27:40,978] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4679918Z  __compiled_fn_384 <eval_with_key>.3118 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4680006Z placeholder, x, x, (), {}
2022-11-23T01:30:20.4680087Z placeholder, y, y, (), {}
2022-11-23T01:30:20.4680255Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:30:20.4680338Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.4680345Z 
2022-11-23T01:30:20.4680678Z [2022-11-23 01:27:40,979] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 
2022-11-23T01:30:20.4680771Z 3204           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4680861Z                2 LOAD_FAST                1 (y)
2022-11-23T01:30:20.4680935Z                4 BINARY_ADD
2022-11-23T01:30:20.4681010Z                6 RETURN_VALUE
2022-11-23T01:30:20.4681017Z 
2022-11-23T01:30:20.4681078Z  
2022-11-23T01:30:20.4681408Z [2022-11-23 01:27:40,979] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 3202 
2022-11-23T01:30:20.4681506Z 3202           0 LOAD_GLOBAL              0 (__compiled_fn_384)
2022-11-23T01:30:20.4681594Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4681682Z                4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.4681773Z                6 CALL_FUNCTION            2
2022-11-23T01:30:20.4681864Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.4681939Z               10 RETURN_VALUE
2022-11-23T01:30:20.4681944Z 
2022-11-23T01:30:20.4682004Z  
2022-11-23T01:30:20.4682183Z [2022-11-23 01:27:40,979] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4682241Z  - 
2022-11-23T01:30:20.4682360Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:20.4682427Z             {
2022-11-23T01:30:20.4682571Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4682678Z                 'code': None,
2022-11-23T01:30:20.4682894Z                 'obj_weakref': <weakref at 0x7ff57ff17ce0; to 'Tensor' at 0x7ff58fd08bd0>
2022-11-23T01:30:20.4683149Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4683204Z             }
2022-11-23T01:30:20.4683266Z             
2022-11-23T01:30:20.4683336Z  - 
2022-11-23T01:30:20.4683454Z             local 'y' TENSOR_MATCH
2022-11-23T01:30:20.4683517Z             {
2022-11-23T01:30:20.4683657Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4683752Z                 'code': None,
2022-11-23T01:30:20.4683965Z                 'obj_weakref': <weakref at 0x7ff58fec9d50; to 'Tensor' at 0x7ff58f9a9710>
2022-11-23T01:30:20.4684216Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4684283Z             }
2022-11-23T01:30:20.4684347Z             
2022-11-23T01:30:20.4684605Z [2022-11-23 01:27:40,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 376
2022-11-23T01:30:20.4685011Z [2022-11-23 01:27:42,374] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cakit77q4mhr2iwdy4cqjm2rjld7ja4o4wihkrkxhjkgsg4yn2mb.py
2022-11-23T01:30:20.4685276Z [2022-11-23 01:27:42,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 376
2022-11-23T01:30:20.4685281Z 
2022-11-23T01:30:20.4685375Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4685433Z import torch
2022-11-23T01:30:20.4685502Z import random
2022-11-23T01:30:20.4685616Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4685737Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4685743Z 
2022-11-23T01:30:20.4685822Z aten = torch.ops.aten
2022-11-23T01:30:20.4685956Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4686080Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4686086Z 
2022-11-23T01:30:20.4686090Z 
2022-11-23T01:30:20.4686226Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4686422Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4686543Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4686649Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.4686749Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.4686810Z {
2022-11-23T01:30:20.4686908Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4686970Z     {
2022-11-23T01:30:20.4687035Z         #pragma omp for 
2022-11-23T01:30:20.4687116Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:20.4687180Z         {
2022-11-23T01:30:20.4687244Z             {
2022-11-23T01:30:20.4687308Z                 {
2022-11-23T01:30:20.4687403Z                     auto tmp0 = in_ptr0[2*i0];
2022-11-23T01:30:20.4687484Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.4687575Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4687661Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.4687726Z                 }
2022-11-23T01:30:20.4687790Z             }
2022-11-23T01:30:20.4687853Z         }
2022-11-23T01:30:20.4687914Z     }
2022-11-23T01:30:20.4687962Z }
2022-11-23T01:30:20.4688038Z ''')
2022-11-23T01:30:20.4688043Z 
2022-11-23T01:30:20.4688047Z 
2022-11-23T01:30:20.4688136Z async_compile.wait(globals())
2022-11-23T01:30:20.4688207Z del async_compile
2022-11-23T01:30:20.4688211Z 
2022-11-23T01:30:20.4688281Z def call(args):
2022-11-23T01:30:20.4688357Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4688427Z     args.clear()
2022-11-23T01:30:20.4688628Z     buf0 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4688778Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4688847Z     del arg0_1
2022-11-23T01:30:20.4688914Z     del arg1_1
2022-11-23T01:30:20.4688984Z     return (buf0, )
2022-11-23T01:30:20.4688989Z 
2022-11-23T01:30:20.4688995Z 
2022-11-23T01:30:20.4689071Z if __name__ == "__main__":
2022-11-23T01:30:20.4689187Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4689305Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4689493Z     arg0_1 = rand_strided((8, 16), (32, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4689691Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4689805Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4689810Z 
2022-11-23T01:30:20.4689877Z ok (1.406s)
2022-11-23T01:30:20.4690177Z   test_sum1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:42,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4690493Z [2022-11-23 01:27:42,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4690742Z [2022-11-23 01:27:42,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4690994Z [2022-11-23 01:27:42,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4691270Z [2022-11-23 01:27:42,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4691577Z [2022-11-23 01:27:42,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4691924Z [2022-11-23 01:27:42,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4692249Z [2022-11-23 01:27:42,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4692650Z [2022-11-23 01:27:42,380] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d199370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725> 
2022-11-23T01:30:20.4692741Z  726           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4692832Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4692905Z               4 BINARY_ADD
2022-11-23T01:30:20.4692999Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4693135Z               8 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4693210Z              10 CALL_METHOD              1
2022-11-23T01:30:20.4693296Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.4693374Z              14 RETURN_VALUE
2022-11-23T01:30:20.4693435Z  
2022-11-23T01:30:20.4693440Z 
2022-11-23T01:30:20.4693748Z [2022-11-23 01:27:42,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:726
2022-11-23T01:30:20.4693961Z [2022-11-23 01:27:42,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4694198Z [2022-11-23 01:27:42,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.4694471Z [2022-11-23 01:27:42,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4694700Z [2022-11-23 01:27:42,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.4694974Z [2022-11-23 01:27:42,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4695287Z [2022-11-23 01:27:42,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4695527Z [2022-11-23 01:27:42,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.4695780Z [2022-11-23 01:27:42,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4696157Z [2022-11-23 01:27:42,382] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d199370, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 725>
2022-11-23T01:30:20.4696400Z [2022-11-23 01:27:42,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4696765Z [2022-11-23 01:27:42,382] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4697019Z [2022-11-23 01:27:42,383] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4697268Z [2022-11-23 01:27:42,386] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4697446Z [2022-11-23 01:27:42,386] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4697582Z  __compiled_fn_385 <eval_with_key>.3124 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4697723Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4697815Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.4697994Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.4698125Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:30:20.4698219Z output, output, output, ((sum_1,),), {}
2022-11-23T01:30:20.4698225Z 
2022-11-23T01:30:20.4698551Z [2022-11-23 01:27:42,387] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4698632Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4698723Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4698809Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4698903Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4699027Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4699115Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4699192Z              12 RETURN_VALUE
2022-11-23T01:30:20.4699197Z 
2022-11-23T01:30:20.4699244Z  
2022-11-23T01:30:20.4699567Z [2022-11-23 01:27:42,387] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4699677Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_385)
2022-11-23T01:30:20.4699767Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4699856Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4699932Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4700021Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4700110Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4700172Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.4700263Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.4700368Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4700471Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4700562Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4700637Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4700725Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.4700787Z              26 RETURN_VALUE
2022-11-23T01:30:20.4700792Z 
2022-11-23T01:30:20.4700852Z  
2022-11-23T01:30:20.4701033Z [2022-11-23 01:27:42,388] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4701103Z  - 
2022-11-23T01:30:20.4701222Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4701287Z             {
2022-11-23T01:30:20.4701427Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4701601Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4701720Z                 'obj_weakref': None
2022-11-23T01:30:20.4701945Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4702009Z             }
2022-11-23T01:30:20.4702074Z             
2022-11-23T01:30:20.4702143Z  - 
2022-11-23T01:30:20.4702270Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4702320Z             {
2022-11-23T01:30:20.4702464Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4702572Z                 'code': None,
2022-11-23T01:30:20.4702785Z                 'obj_weakref': <weakref at 0x7ff58feca8e0; to 'Tensor' at 0x7ff59c204b30>
2022-11-23T01:30:20.4703039Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4703102Z             }
2022-11-23T01:30:20.4703165Z             
2022-11-23T01:30:20.4703223Z  - 
2022-11-23T01:30:20.4703344Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.4703406Z             {
2022-11-23T01:30:20.4703552Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4703658Z                 'code': None,
2022-11-23T01:30:20.4703912Z                 'obj_weakref': <weakref at 0x7ff58fe779c0; to 'Tensor' at 0x7ff5a83c4220>
2022-11-23T01:30:20.4704165Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4704216Z             }
2022-11-23T01:30:20.4704280Z             
2022-11-23T01:30:20.4704350Z  - 
2022-11-23T01:30:20.4704484Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4704546Z             {
2022-11-23T01:30:20.4704678Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4704848Z                 'code': ['___check_obj_id(model, 140692659581520)'],
2022-11-23T01:30:20.4704953Z                 'obj_weakref': None
2022-11-23T01:30:20.4705181Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4705248Z             }
2022-11-23T01:30:20.4705353Z             
2022-11-23T01:30:20.4705422Z  - 
2022-11-23T01:30:20.4705542Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4705605Z             {
2022-11-23T01:30:20.4705732Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4705948Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4706067Z                 'obj_weakref': None
2022-11-23T01:30:20.4706289Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4706354Z             }
2022-11-23T01:30:20.4706416Z             
2022-11-23T01:30:20.4706677Z [2022-11-23 01:27:42,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 377
2022-11-23T01:30:20.4707046Z [2022-11-23 01:27:43,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sv/csvbkn77rlvpautntgbjzps4ddus5psx3zie76fonf5yq6uxwqj6.py
2022-11-23T01:30:20.4707294Z [2022-11-23 01:27:43,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 377
2022-11-23T01:30:20.4707302Z 
2022-11-23T01:30:20.4707396Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4707468Z import torch
2022-11-23T01:30:20.4707538Z import random
2022-11-23T01:30:20.4707653Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4707774Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4707779Z 
2022-11-23T01:30:20.4707857Z aten = torch.ops.aten
2022-11-23T01:30:20.4707991Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4708070Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4708075Z 
2022-11-23T01:30:20.4708080Z 
2022-11-23T01:30:20.4708215Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4708421Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4708543Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4708648Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.4708747Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.4708808Z {
2022-11-23T01:30:20.4708895Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4708956Z     {
2022-11-23T01:30:20.4709032Z         #pragma omp for 
2022-11-23T01:30:20.4709114Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4709177Z         {
2022-11-23T01:30:20.4709241Z             {
2022-11-23T01:30:20.4709438Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4709516Z                 float tmp3 = 0;
2022-11-23T01:30:20.4709625Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.4709717Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4709783Z                 {
2022-11-23T01:30:20.4709923Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4710066Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4710185Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4710268Z                     tmp3_vec += tmp2;
2022-11-23T01:30:20.4710321Z                 }
2022-11-23T01:30:20.4710513Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:30:20.4710632Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:30:20.4710720Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4710785Z                 {
2022-11-23T01:30:20.4710884Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4710980Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.4711071Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4711136Z                     tmp3 += tmp2;
2022-11-23T01:30:20.4711227Z                 }
2022-11-23T01:30:20.4711307Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.4711371Z             }
2022-11-23T01:30:20.4711434Z         }
2022-11-23T01:30:20.4711496Z     }
2022-11-23T01:30:20.4711556Z }
2022-11-23T01:30:20.4711623Z ''')
2022-11-23T01:30:20.4711628Z 
2022-11-23T01:30:20.4711632Z 
2022-11-23T01:30:20.4711722Z async_compile.wait(globals())
2022-11-23T01:30:20.4711793Z del async_compile
2022-11-23T01:30:20.4711798Z 
2022-11-23T01:30:20.4711870Z def call(args):
2022-11-23T01:30:20.4711944Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4712016Z     args.clear()
2022-11-23T01:30:20.4712209Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4712358Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4712425Z     del arg0_1
2022-11-23T01:30:20.4712490Z     del arg1_1
2022-11-23T01:30:20.4712561Z     return (buf0, )
2022-11-23T01:30:20.4712568Z 
2022-11-23T01:30:20.4712572Z 
2022-11-23T01:30:20.4712648Z if __name__ == "__main__":
2022-11-23T01:30:20.4712762Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4712886Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4713082Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4713263Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4713378Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4713383Z 
2022-11-23T01:30:20.4713451Z ok (1.416s)
2022-11-23T01:30:20.4713749Z   test_sum2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4714148Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4714368Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4714628Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4714903Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4715222Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4715555Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4715879Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4716251Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1994d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731> 
2022-11-23T01:30:20.4716381Z  732           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4716475Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4716549Z               4 BINARY_ADD
2022-11-23T01:30:20.4716646Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4716735Z               8 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4716809Z              10 LOAD_CONST               2 (2)
2022-11-23T01:30:20.4716897Z              12 BUILD_LIST               2
2022-11-23T01:30:20.4716983Z              14 CALL_METHOD              1
2022-11-23T01:30:20.4717070Z              16 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4717157Z              18 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4717228Z              20 BINARY_ADD
2022-11-23T01:30:20.4717322Z              22 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4717486Z              24 LOAD_CONST               3 (-1)
2022-11-23T01:30:20.4717561Z              26 CALL_METHOD              1
2022-11-23T01:30:20.4717647Z              28 BUILD_TUPLE              2
2022-11-23T01:30:20.4717728Z              30 RETURN_VALUE
2022-11-23T01:30:20.4717791Z  
2022-11-23T01:30:20.4717797Z 
2022-11-23T01:30:20.4718109Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:732
2022-11-23T01:30:20.4718319Z [2022-11-23 01:27:43,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4718556Z [2022-11-23 01:27:43,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.4718830Z [2022-11-23 01:27:43,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4719057Z [2022-11-23 01:27:43,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.4719331Z [2022-11-23 01:27:43,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4719645Z [2022-11-23 01:27:43,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4719986Z [2022-11-23 01:27:43,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.4720286Z [2022-11-23 01:27:43,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ListVariable()]
2022-11-23T01:30:20.4720520Z [2022-11-23 01:27:43,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:30:20.4720782Z [2022-11-23 01:27:43,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4721080Z [2022-11-23 01:27:43,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4721345Z [2022-11-23 01:27:43,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4721647Z [2022-11-23 01:27:43,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4721975Z [2022-11-23 01:27:43,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4722246Z [2022-11-23 01:27:43,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4722496Z [2022-11-23 01:27:43,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4722871Z [2022-11-23 01:27:43,801] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1994d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 731>
2022-11-23T01:30:20.4723146Z [2022-11-23 01:27:43,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4723383Z [2022-11-23 01:27:43,801] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4723638Z [2022-11-23 01:27:43,802] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4723889Z [2022-11-23 01:27:43,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4724076Z [2022-11-23 01:27:43,806] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4724209Z  __compiled_fn_386 <eval_with_key>.3130 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4724287Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4724374Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.4724579Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.4724675Z call_method, sum_1, sum, (add, [1, 2]), {}
2022-11-23T01:30:20.4724854Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.4724988Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:30:20.4725092Z output, output, output, ((sum_1, sum_2),), {}
2022-11-23T01:30:20.4725097Z 
2022-11-23T01:30:20.4725409Z [2022-11-23 01:27:43,807] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4725503Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4725593Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4725679Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4725772Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4725855Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4725944Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4726020Z              12 RETURN_VALUE
2022-11-23T01:30:20.4726025Z 
2022-11-23T01:30:20.4726074Z  
2022-11-23T01:30:20.4726397Z [2022-11-23 01:27:43,807] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4726506Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_386)
2022-11-23T01:30:20.4726595Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4726687Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4726764Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4726852Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4726925Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4727002Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.4727089Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.4727192Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4727295Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4727382Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4727461Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4727562Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4727638Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4727712Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4727799Z              30 BUILD_TUPLE              2
2022-11-23T01:30:20.4727876Z              32 RETURN_VALUE
2022-11-23T01:30:20.4727882Z 
2022-11-23T01:30:20.4727941Z  
2022-11-23T01:30:20.4728122Z [2022-11-23 01:27:43,807] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4728192Z  - 
2022-11-23T01:30:20.4728299Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4728362Z             {
2022-11-23T01:30:20.4728503Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4728691Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4728810Z                 'obj_weakref': None
2022-11-23T01:30:20.4729061Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4729126Z             }
2022-11-23T01:30:20.4729176Z             
2022-11-23T01:30:20.4729245Z  - 
2022-11-23T01:30:20.4729368Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4729431Z             {
2022-11-23T01:30:20.4729573Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4729679Z                 'code': None,
2022-11-23T01:30:20.4729891Z                 'obj_weakref': <weakref at 0x7ff58fd252b0; to 'Tensor' at 0x7ff58ff16480>
2022-11-23T01:30:20.4730133Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4730194Z             }
2022-11-23T01:30:20.4730255Z             
2022-11-23T01:30:20.4730324Z  - 
2022-11-23T01:30:20.4730474Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.4730536Z             {
2022-11-23T01:30:20.4730677Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4730772Z                 'code': None,
2022-11-23T01:30:20.4730983Z                 'obj_weakref': <weakref at 0x7ff58fd26390; to 'Tensor' at 0x7ff59c18e840>
2022-11-23T01:30:20.4731235Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4731298Z             }
2022-11-23T01:30:20.4731362Z             
2022-11-23T01:30:20.4731429Z  - 
2022-11-23T01:30:20.4731559Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4731609Z             {
2022-11-23T01:30:20.4731743Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4731912Z                 'code': ['___check_obj_id(model, 140692374265792)'],
2022-11-23T01:30:20.4732030Z                 'obj_weakref': None
2022-11-23T01:30:20.4732260Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4732324Z             }
2022-11-23T01:30:20.4732387Z             
2022-11-23T01:30:20.4732444Z  - 
2022-11-23T01:30:20.4732566Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4732630Z             {
2022-11-23T01:30:20.4732767Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4732985Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4733104Z                 'obj_weakref': None
2022-11-23T01:30:20.4733324Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4733374Z             }
2022-11-23T01:30:20.4733437Z             
2022-11-23T01:30:20.4733694Z [2022-11-23 01:27:43,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 378
2022-11-23T01:30:20.4734054Z [2022-11-23 01:27:45,245] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cph574btrr37yuk4z772nqergoudzb2owzj6qyf6vr73dok5lany.py
2022-11-23T01:30:20.4734325Z [2022-11-23 01:27:45,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 378
2022-11-23T01:30:20.4734332Z 
2022-11-23T01:30:20.4734426Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4734495Z import torch
2022-11-23T01:30:20.4734565Z import random
2022-11-23T01:30:20.4734667Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4734787Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4734792Z 
2022-11-23T01:30:20.4734870Z aten = torch.ops.aten
2022-11-23T01:30:20.4735003Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4735094Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4735099Z 
2022-11-23T01:30:20.4735103Z 
2022-11-23T01:30:20.4735235Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4735441Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4735562Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4735655Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.4735780Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4735880Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.4735940Z {
2022-11-23T01:30:20.4736036Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4736099Z     {
2022-11-23T01:30:20.4736174Z         #pragma omp for 
2022-11-23T01:30:20.4736245Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4736306Z         {
2022-11-23T01:30:20.4736386Z             #pragma GCC ivdep
2022-11-23T01:30:20.4736603Z             for(long i1=0; i1<21; i1+=1)
2022-11-23T01:30:20.4736668Z             {
2022-11-23T01:30:20.4736732Z                 {
2022-11-23T01:30:20.4736798Z                     {
2022-11-23T01:30:20.4736867Z                         float tmp3 = 0;
2022-11-23T01:30:20.4737014Z                         for(long i2=0; i2<27; i2+=1)
2022-11-23T01:30:20.4737083Z                         {
2022-11-23T01:30:20.4737152Z                             {
2022-11-23T01:30:20.4737266Z                                 auto tmp0 = in_ptr0[i1 + (21*i2) + (567*i0)];
2022-11-23T01:30:20.4737378Z                                 auto tmp1 = in_ptr1[i1 + (21*i2) + (567*i0)];
2022-11-23T01:30:20.4737477Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4737550Z                                 tmp3 += tmp2;
2022-11-23T01:30:20.4737621Z                             }
2022-11-23T01:30:20.4737688Z                         }
2022-11-23T01:30:20.4737785Z                         out_ptr0[i1 + (21*i0)] = tmp3;
2022-11-23T01:30:20.4737852Z                     }
2022-11-23T01:30:20.4737920Z                 }
2022-11-23T01:30:20.4737983Z             }
2022-11-23T01:30:20.4738034Z         }
2022-11-23T01:30:20.4738110Z         #pragma omp for 
2022-11-23T01:30:20.4738191Z         for(long i0=0; i0<216; i0+=1)
2022-11-23T01:30:20.4738255Z         {
2022-11-23T01:30:20.4738322Z             {
2022-11-23T01:30:20.4738520Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4738599Z                 float tmp3 = 0;
2022-11-23T01:30:20.4738708Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.4738797Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:20.4738861Z                 {
2022-11-23T01:30:20.4739002Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (21*i0));
2022-11-23T01:30:20.4739141Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (21*i0));
2022-11-23T01:30:20.4739232Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4739313Z                     tmp3_vec += tmp2;
2022-11-23T01:30:20.4739377Z                 }
2022-11-23T01:30:20.4739560Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:30:20.4739684Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:30:20.4739775Z                 for(long i1=16; i1<21; i1+=1)
2022-11-23T01:30:20.4739839Z                 {
2022-11-23T01:30:20.4739936Z                     auto tmp0 = in_ptr0[i1 + (21*i0)];
2022-11-23T01:30:20.4740036Z                     auto tmp1 = in_ptr1[i1 + (21*i0)];
2022-11-23T01:30:20.4740127Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4740192Z                     tmp3 += tmp2;
2022-11-23T01:30:20.4740255Z                 }
2022-11-23T01:30:20.4740335Z                 out_ptr1[i0] = tmp3;
2022-11-23T01:30:20.4740396Z             }
2022-11-23T01:30:20.4740458Z         }
2022-11-23T01:30:20.4740520Z     }
2022-11-23T01:30:20.4740581Z }
2022-11-23T01:30:20.4740651Z ''')
2022-11-23T01:30:20.4740657Z 
2022-11-23T01:30:20.4740662Z 
2022-11-23T01:30:20.4740754Z async_compile.wait(globals())
2022-11-23T01:30:20.4740826Z del async_compile
2022-11-23T01:30:20.4740831Z 
2022-11-23T01:30:20.4740903Z def call(args):
2022-11-23T01:30:20.4740978Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4741087Z     args.clear()
2022-11-23T01:30:20.4741287Z     buf0 = empty_strided((8, 21), (21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4741477Z     buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4741665Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.4741734Z     del arg0_1
2022-11-23T01:30:20.4741802Z     del arg1_1
2022-11-23T01:30:20.4741875Z     return (buf0, buf1, )
2022-11-23T01:30:20.4741880Z 
2022-11-23T01:30:20.4741884Z 
2022-11-23T01:30:20.4741959Z if __name__ == "__main__":
2022-11-23T01:30:20.4742073Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4742195Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4742424Z     arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4742641Z     arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4742756Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4742761Z 
2022-11-23T01:30:20.4742831Z ok (1.455s)
2022-11-23T01:30:20.4743130Z   test_sum3_cpu (__main__.CpuTests) ... [2022-11-23 01:27:45,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4743449Z [2022-11-23 01:27:45,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4743666Z [2022-11-23 01:27:45,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4743917Z [2022-11-23 01:27:45,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4744191Z [2022-11-23 01:27:45,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4744499Z [2022-11-23 01:27:45,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4744846Z [2022-11-23 01:27:45,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4745169Z [2022-11-23 01:27:45,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4745541Z [2022-11-23 01:27:45,252] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d199630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737> 
2022-11-23T01:30:20.4745633Z  738           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4745729Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4745801Z               4 BINARY_ADD
2022-11-23T01:30:20.4745893Z               6 STORE_FAST               2 (r1)
2022-11-23T01:30:20.4745898Z 
2022-11-23T01:30:20.4745985Z 739           8 LOAD_FAST                2 (r1)
2022-11-23T01:30:20.4746065Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4746203Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4746290Z              14 CALL_METHOD              1
2022-11-23T01:30:20.4746378Z              16 STORE_FAST               3 (r2)
2022-11-23T01:30:20.4746383Z 
2022-11-23T01:30:20.4746475Z 740          18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:20.4746568Z              20 LOAD_METHOD              2 (squeeze)
2022-11-23T01:30:20.4746655Z              22 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4746741Z              24 CALL_METHOD              1
2022-11-23T01:30:20.4746816Z              26 LOAD_CONST               2 (10)
2022-11-23T01:30:20.4746890Z              28 BINARY_ADD
2022-11-23T01:30:20.4746979Z              30 STORE_FAST               4 (r3)
2022-11-23T01:30:20.4746985Z 
2022-11-23T01:30:20.4747112Z 741          32 LOAD_FAST                2 (r1)
2022-11-23T01:30:20.4747200Z              34 LOAD_FAST                3 (r2)
2022-11-23T01:30:20.4747286Z              36 LOAD_FAST                4 (r3)
2022-11-23T01:30:20.4747374Z              38 BUILD_TUPLE              3
2022-11-23T01:30:20.4747436Z              40 RETURN_VALUE
2022-11-23T01:30:20.4747498Z  
2022-11-23T01:30:20.4747503Z 
2022-11-23T01:30:20.4747820Z [2022-11-23 01:27:45,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:738
2022-11-23T01:30:20.4748032Z [2022-11-23 01:27:45,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4748268Z [2022-11-23 01:27:45,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.4748570Z [2022-11-23 01:27:45,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4748813Z [2022-11-23 01:27:45,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r1 [TensorVariable()]
2022-11-23T01:30:20.4749126Z [2022-11-23 01:27:45,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:739
2022-11-23T01:30:20.4749335Z [2022-11-23 01:27:45,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:30:20.4749561Z [2022-11-23 01:27:45,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.4749836Z [2022-11-23 01:27:45,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4750149Z [2022-11-23 01:27:45,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4750390Z [2022-11-23 01:27:45,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r2 [TensorVariable()]
2022-11-23T01:30:20.4750699Z [2022-11-23 01:27:45,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:740
2022-11-23T01:30:20.4750917Z [2022-11-23 01:27:45,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4751291Z [2022-11-23 01:27:45,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4751616Z [2022-11-23 01:27:45,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method squeeze of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4751972Z [2022-11-23 01:27:45,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method squeeze of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4752213Z [2022-11-23 01:27:45,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()]
2022-11-23T01:30:20.4752492Z [2022-11-23 01:27:45,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4752713Z [2022-11-23 01:27:45,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r3 [TensorVariable()]
2022-11-23T01:30:20.4753025Z [2022-11-23 01:27:45,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:741
2022-11-23T01:30:20.4753235Z [2022-11-23 01:27:45,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:30:20.4753472Z [2022-11-23 01:27:45,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r2 [TensorVariable()]
2022-11-23T01:30:20.4753734Z [2022-11-23 01:27:45,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r3 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4754190Z [2022-11-23 01:27:45,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4754439Z [2022-11-23 01:27:45,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4754814Z [2022-11-23 01:27:45,257] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d199630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 737>
2022-11-23T01:30:20.4755058Z [2022-11-23 01:27:45,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4755293Z [2022-11-23 01:27:45,257] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4755535Z [2022-11-23 01:27:45,258] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4755812Z [2022-11-23 01:27:45,261] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4756003Z [2022-11-23 01:27:45,262] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4756139Z  __compiled_fn_387 <eval_with_key>.3136 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4756231Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4756319Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.4756499Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.4756618Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:30:20.4756856Z call_function, squeeze, <built-in method squeeze of type object at 0x7ff5d7c59c60>, (ex_1_,), {}
2022-11-23T01:30:20.4757037Z call_function, add_1, <built-in function add>, (squeeze, 10), {}
2022-11-23T01:30:20.4757145Z output, output, output, ((add, sum_1, add_1),), {}
2022-11-23T01:30:20.4757151Z 
2022-11-23T01:30:20.4757476Z [2022-11-23 01:27:45,262] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4757572Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4757665Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4757751Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4757845Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4757918Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4758004Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4758080Z              12 RETURN_VALUE
2022-11-23T01:30:20.4758084Z 
2022-11-23T01:30:20.4758146Z  
2022-11-23T01:30:20.4758469Z [2022-11-23 01:27:45,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4758576Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_387)
2022-11-23T01:30:20.4758663Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4758742Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4758820Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4758910Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4758999Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4759074Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.4759160Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.4759262Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4759350Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4759440Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4759516Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4759616Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4759703Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4759781Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4759880Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4759971Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4760035Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.4760153Z              36 BUILD_TUPLE              3
2022-11-23T01:30:20.4760229Z              38 RETURN_VALUE
2022-11-23T01:30:20.4760234Z 
2022-11-23T01:30:20.4760293Z  
2022-11-23T01:30:20.4760474Z [2022-11-23 01:27:45,263] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4760545Z  - 
2022-11-23T01:30:20.4760664Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4760716Z             {
2022-11-23T01:30:20.4760856Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4761044Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4761161Z                 'obj_weakref': None
2022-11-23T01:30:20.4761383Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4761447Z             }
2022-11-23T01:30:20.4761536Z             
2022-11-23T01:30:20.4761592Z  - 
2022-11-23T01:30:20.4761714Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4761776Z             {
2022-11-23T01:30:20.4761923Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4762030Z                 'code': None,
2022-11-23T01:30:20.4762247Z                 'obj_weakref': <weakref at 0x7ff58fd2a2a0; to 'Tensor' at 0x7ff59c14e7f0>
2022-11-23T01:30:20.4762502Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4762553Z             }
2022-11-23T01:30:20.4762616Z             
2022-11-23T01:30:20.4762683Z  - 
2022-11-23T01:30:20.4762807Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.4762872Z             {
2022-11-23T01:30:20.4763013Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4763119Z                 'code': None,
2022-11-23T01:30:20.4763315Z                 'obj_weakref': <weakref at 0x7ff59c18c950; to 'Tensor' at 0x7ff58fe77bf0>
2022-11-23T01:30:20.4763568Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4763633Z             }
2022-11-23T01:30:20.4763697Z             
2022-11-23T01:30:20.4763766Z  - 
2022-11-23T01:30:20.4763896Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4763960Z             {
2022-11-23T01:30:20.4764082Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4764253Z                 'code': ['___check_obj_id(model, 140692374265792)'],
2022-11-23T01:30:20.4764370Z                 'obj_weakref': None
2022-11-23T01:30:20.4764605Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4764669Z             }
2022-11-23T01:30:20.4764729Z             
2022-11-23T01:30:20.4764796Z  - 
2022-11-23T01:30:20.4764903Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4764964Z             {
2022-11-23T01:30:20.4765100Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4765315Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4765435Z                 'obj_weakref': None
2022-11-23T01:30:20.4765654Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4765718Z             }
2022-11-23T01:30:20.4765768Z             
2022-11-23T01:30:20.4765836Z  - 
2022-11-23T01:30:20.4765967Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4766030Z             {
2022-11-23T01:30:20.4766148Z                 'guard_types': None,
2022-11-23T01:30:20.4766252Z                 'code': None,
2022-11-23T01:30:20.4766366Z                 'obj_weakref': None
2022-11-23T01:30:20.4766474Z                 'guarded_class': None
2022-11-23T01:30:20.4766536Z             }
2022-11-23T01:30:20.4766598Z             
2022-11-23T01:30:20.4766859Z [2022-11-23 01:27:45,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 379
2022-11-23T01:30:20.4767266Z [2022-11-23 01:27:46,684] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3m/c3mnvqeht3zyltghtqwshq4dfcly5xjw67m5lastsreabtr6cb57.py
2022-11-23T01:30:20.4767529Z [2022-11-23 01:27:46,684] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 379
2022-11-23T01:30:20.4767535Z 
2022-11-23T01:30:20.4767629Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4767686Z import torch
2022-11-23T01:30:20.4767753Z import random
2022-11-23T01:30:20.4767867Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4767985Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4767991Z 
2022-11-23T01:30:20.4768069Z aten = torch.ops.aten
2022-11-23T01:30:20.4768203Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4768294Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4768299Z 
2022-11-23T01:30:20.4768330Z 
2022-11-23T01:30:20.4768463Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4768654Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4768776Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4768879Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.4768977Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4769073Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.4769166Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.4769229Z {
2022-11-23T01:30:20.4769328Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4769377Z     {
2022-11-23T01:30:20.4769454Z         #pragma omp for 
2022-11-23T01:30:20.4769535Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.4769600Z         {
2022-11-23T01:30:20.4769663Z             {
2022-11-23T01:30:20.4769853Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4769938Z                 float tmp3 = 0;
2022-11-23T01:30:20.4770048Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.4770137Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4770201Z                 {
2022-11-23T01:30:20.4770343Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.4770478Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:30:20.4770570Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4770675Z                     tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.4770756Z                     tmp3_vec += tmp2;
2022-11-23T01:30:20.4770808Z                 }
2022-11-23T01:30:20.4771004Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:30:20.4771125Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:30:20.4771215Z                 for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.4771279Z                 {
2022-11-23T01:30:20.4771377Z                     auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.4771468Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.4771546Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4771638Z                     out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.4771715Z                     tmp3 += tmp2;
2022-11-23T01:30:20.4771779Z                 }
2022-11-23T01:30:20.4771860Z                 out_ptr1[i0] = tmp3;
2022-11-23T01:30:20.4771926Z             }
2022-11-23T01:30:20.4771988Z         }
2022-11-23T01:30:20.4772052Z         #pragma omp for 
2022-11-23T01:30:20.4772133Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.4772195Z         {
2022-11-23T01:30:20.4772328Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.4772464Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:30:20.4772576Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4772670Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:30:20.4772720Z         }
2022-11-23T01:30:20.4772811Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4772891Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.4772953Z         {
2022-11-23T01:30:20.4773033Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:20.4773133Z             auto tmp1 = static_cast<float>(10);
2022-11-23T01:30:20.4773216Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4773283Z             out_ptr2[i0] = tmp2;
2022-11-23T01:30:20.4773343Z         }
2022-11-23T01:30:20.4773406Z     }
2022-11-23T01:30:20.4773464Z }
2022-11-23T01:30:20.4773548Z ''')
2022-11-23T01:30:20.4773554Z 
2022-11-23T01:30:20.4773558Z 
2022-11-23T01:30:20.4773647Z async_compile.wait(globals())
2022-11-23T01:30:20.4773745Z del async_compile
2022-11-23T01:30:20.4773750Z 
2022-11-23T01:30:20.4773808Z def call(args):
2022-11-23T01:30:20.4773884Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4773955Z     args.clear()
2022-11-23T01:30:20.4774156Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4774350Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4774537Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4774750Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.4774820Z     del arg0_1
2022-11-23T01:30:20.4774874Z     del arg1_1
2022-11-23T01:30:20.4774954Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:20.4774959Z 
2022-11-23T01:30:20.4774963Z 
2022-11-23T01:30:20.4775039Z if __name__ == "__main__":
2022-11-23T01:30:20.4775155Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4775278Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4775480Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4775674Z     arg1_1 = rand_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4775789Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4775795Z 
2022-11-23T01:30:20.4775849Z ok (1.439s)
2022-11-23T01:30:20.4776147Z   test_sum4_cpu (__main__.CpuTests) ... [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4776586Z [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4776808Z [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4777062Z [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4777345Z [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4777668Z [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4778011Z [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4778335Z [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4778711Z [2022-11-23 01:27:46,690] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d199790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749> 
2022-11-23T01:30:20.4778794Z  750           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4778887Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4779011Z               4 BINARY_ADD
2022-11-23T01:30:20.4779103Z               6 STORE_FAST               1 (b)
2022-11-23T01:30:20.4779108Z 
2022-11-23T01:30:20.4779194Z 751           8 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4779284Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4779427Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4779501Z              14 CALL_METHOD              1
2022-11-23T01:30:20.4779589Z              16 STORE_FAST               2 (c)
2022-11-23T01:30:20.4779594Z 
2022-11-23T01:30:20.4779680Z 752          18 LOAD_FAST                2 (c)
2022-11-23T01:30:20.4779765Z              20 LOAD_CONST               3 (3)
2022-11-23T01:30:20.4779837Z              22 BINARY_ADD
2022-11-23T01:30:20.4779922Z              24 STORE_FAST               3 (d)
2022-11-23T01:30:20.4779961Z 
2022-11-23T01:30:20.4780046Z 753          26 LOAD_FAST                3 (d)
2022-11-23T01:30:20.4780137Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4780262Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4780349Z              32 CALL_METHOD              1
2022-11-23T01:30:20.4780435Z              34 STORE_FAST               4 (e)
2022-11-23T01:30:20.4780440Z 
2022-11-23T01:30:20.4780524Z 754          36 LOAD_FAST                4 (e)
2022-11-23T01:30:20.4780608Z              38 LOAD_CONST               4 (5)
2022-11-23T01:30:20.4780677Z              40 BINARY_ADD
2022-11-23T01:30:20.4780762Z              42 STORE_FAST               5 (f)
2022-11-23T01:30:20.4780767Z 
2022-11-23T01:30:20.4780838Z 755          44 LOAD_FAST                5 (f)
2022-11-23T01:30:20.4780922Z              46 LOAD_FAST                4 (e)
2022-11-23T01:30:20.4781004Z              48 LOAD_FAST                3 (d)
2022-11-23T01:30:20.4781087Z              50 LOAD_FAST                2 (c)
2022-11-23T01:30:20.4781171Z              52 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4781257Z              54 BUILD_TUPLE              5
2022-11-23T01:30:20.4781332Z              56 RETURN_VALUE
2022-11-23T01:30:20.4781392Z  
2022-11-23T01:30:20.4781397Z 
2022-11-23T01:30:20.4781698Z [2022-11-23 01:27:46,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:750
2022-11-23T01:30:20.4781905Z [2022-11-23 01:27:46,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4782143Z [2022-11-23 01:27:46,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.4782428Z [2022-11-23 01:27:46,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4782662Z [2022-11-23 01:27:46,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:30:20.4782978Z [2022-11-23 01:27:46,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:751
2022-11-23T01:30:20.4783187Z [2022-11-23 01:27:46,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:30:20.4783427Z [2022-11-23 01:27:46,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.4783702Z [2022-11-23 01:27:46,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4784007Z [2022-11-23 01:27:46,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4784239Z [2022-11-23 01:27:46,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:30:20.4784549Z [2022-11-23 01:27:46,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:752
2022-11-23T01:30:20.4784759Z [2022-11-23 01:27:46,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:30:20.4785021Z [2022-11-23 01:27:46,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:30:20.4785302Z [2022-11-23 01:27:46,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4785536Z [2022-11-23 01:27:46,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:30:20.4785850Z [2022-11-23 01:27:46,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:753
2022-11-23T01:30:20.4786058Z [2022-11-23 01:27:46,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:30:20.4786296Z [2022-11-23 01:27:46,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.4786587Z [2022-11-23 01:27:46,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4786907Z [2022-11-23 01:27:46,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4787140Z [2022-11-23 01:27:46,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:30:20.4787448Z [2022-11-23 01:27:46,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:754
2022-11-23T01:30:20.4787656Z [2022-11-23 01:27:46,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:30:20.4787891Z [2022-11-23 01:27:46,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:30:20.4788172Z [2022-11-23 01:27:46,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4788407Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:30:20.4788721Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:755
2022-11-23T01:30:20.4788915Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:30:20.4789151Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable()]
2022-11-23T01:30:20.4789413Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4789706Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4790022Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4790375Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4790619Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4790995Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d199790, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 749>
2022-11-23T01:30:20.4791238Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4791469Z [2022-11-23 01:27:46,696] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4791721Z [2022-11-23 01:27:46,698] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4791958Z [2022-11-23 01:27:46,702] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4792185Z [2022-11-23 01:27:46,702] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4792325Z  __compiled_fn_388 <eval_with_key>.3142 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4792416Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4792589Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4792717Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:30:20.4792887Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:30:20.4793007Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:30:20.4793182Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:30:20.4793300Z output, output, output, ((add_2, sum_2, add_1, sum_1, add),), {}
2022-11-23T01:30:20.4793306Z 
2022-11-23T01:30:20.4793631Z [2022-11-23 01:27:46,702] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4793758Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4793919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4794010Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4794102Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4794174Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4794261Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4794338Z              12 RETURN_VALUE
2022-11-23T01:30:20.4794343Z 
2022-11-23T01:30:20.4794403Z  
2022-11-23T01:30:20.4794732Z [2022-11-23 01:27:46,702] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4794840Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_388)
2022-11-23T01:30:20.4794929Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4795020Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4795083Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4795172Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4795273Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4795374Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4795460Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4795533Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4795634Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4795708Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4795784Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4795881Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4795969Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.4796043Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.4796145Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4796229Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.4796290Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.4796389Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4796477Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.4796550Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.4796635Z              42 BUILD_TUPLE              5
2022-11-23T01:30:20.4796707Z              44 RETURN_VALUE
2022-11-23T01:30:20.4796712Z 
2022-11-23T01:30:20.4796771Z  
2022-11-23T01:30:20.4796950Z [2022-11-23 01:27:46,703] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4797007Z  - 
2022-11-23T01:30:20.4797125Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4797186Z             {
2022-11-23T01:30:20.4797325Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4797508Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4797628Z                 'obj_weakref': None
2022-11-23T01:30:20.4797883Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4797937Z             }
2022-11-23T01:30:20.4797997Z             
2022-11-23T01:30:20.4798065Z  - 
2022-11-23T01:30:20.4798188Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4798248Z             {
2022-11-23T01:30:20.4798388Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4798480Z                 'code': None,
2022-11-23T01:30:20.4798690Z                 'obj_weakref': <weakref at 0x7ff59c0d2700; to 'Tensor' at 0x7ff59c14e7f0>
2022-11-23T01:30:20.4798941Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4799003Z             }
2022-11-23T01:30:20.4799064Z             
2022-11-23T01:30:20.4799132Z  - 
2022-11-23T01:30:20.4799261Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4799340Z             {
2022-11-23T01:30:20.4799478Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4799646Z                 'code': ['___check_obj_id(model, 140692658926304)'],
2022-11-23T01:30:20.4799762Z                 'obj_weakref': None
2022-11-23T01:30:20.4799989Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4800052Z             }
2022-11-23T01:30:20.4800113Z             
2022-11-23T01:30:20.4800168Z  - 
2022-11-23T01:30:20.4800287Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4800348Z             {
2022-11-23T01:30:20.4800482Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4800697Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4800811Z                 'obj_weakref': None
2022-11-23T01:30:20.4801031Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4801094Z             }
2022-11-23T01:30:20.4801143Z             
2022-11-23T01:30:20.4801403Z [2022-11-23 01:27:46,712] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 380
2022-11-23T01:30:20.4801772Z [2022-11-23 01:27:48,307] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t7/ct7uleg6ysdqun7ojnlw6qer7yxvl4bquxwqtpaunpskdfk2mt2y.py
2022-11-23T01:30:20.4802035Z [2022-11-23 01:27:48,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 380
2022-11-23T01:30:20.4802040Z 
2022-11-23T01:30:20.4802132Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4802201Z import torch
2022-11-23T01:30:20.4802271Z import random
2022-11-23T01:30:20.4802383Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4802492Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4802498Z 
2022-11-23T01:30:20.4802573Z aten = torch.ops.aten
2022-11-23T01:30:20.4802707Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4802798Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4802803Z 
2022-11-23T01:30:20.4802807Z 
2022-11-23T01:30:20.4802940Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4803148Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4803266Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4803363Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4803447Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.4803539Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.4803630Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.4803721Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:20.4803780Z {
2022-11-23T01:30:20.4803876Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4803935Z     {
2022-11-23T01:30:20.4804001Z         #pragma omp for 
2022-11-23T01:30:20.4804082Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:20.4804143Z         {
2022-11-23T01:30:20.4804307Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4804441Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.4804525Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4804614Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4804664Z         }
2022-11-23T01:30:20.4804756Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4804841Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:30:20.4804902Z         {
2022-11-23T01:30:20.4804985Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4805084Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.4805165Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4805231Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.4805291Z         }
2022-11-23T01:30:20.4805394Z         #pragma omp for 
2022-11-23T01:30:20.4805475Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:30:20.4805534Z         {
2022-11-23T01:30:20.4805596Z             {
2022-11-23T01:30:20.4805783Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4805848Z                 float tmp1 = 0;
2022-11-23T01:30:20.4805966Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.4806054Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4806119Z                 {
2022-11-23T01:30:20.4806258Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4806341Z                     tmp1_vec += tmp0;
2022-11-23T01:30:20.4806404Z                 }
2022-11-23T01:30:20.4806597Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.4806707Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:20.4806793Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4806857Z                 {
2022-11-23T01:30:20.4806955Z                     auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4807032Z                     tmp1 += tmp0;
2022-11-23T01:30:20.4807096Z                 }
2022-11-23T01:30:20.4807175Z                 out_ptr1[i0] = tmp1;
2022-11-23T01:30:20.4807226Z             }
2022-11-23T01:30:20.4807286Z         }
2022-11-23T01:30:20.4807360Z         #pragma omp for 
2022-11-23T01:30:20.4807438Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.4807499Z         {
2022-11-23T01:30:20.4807629Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:30:20.4807758Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:20.4807829Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4807919Z             tmp2.store(out_ptr2 + 8*i0);
2022-11-23T01:30:20.4807977Z         }
2022-11-23T01:30:20.4808067Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4808149Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:30:20.4808211Z         {
2022-11-23T01:30:20.4808292Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:20.4808378Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:30:20.4808459Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4808534Z             out_ptr2[i0] = tmp2;
2022-11-23T01:30:20.4808595Z         }
2022-11-23T01:30:20.4808668Z         #pragma omp for 
2022-11-23T01:30:20.4808746Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.4808806Z         {
2022-11-23T01:30:20.4808856Z             {
2022-11-23T01:30:20.4809040Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4809116Z                 float tmp1 = 0;
2022-11-23T01:30:20.4809233Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.4809323Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4809385Z                 {
2022-11-23T01:30:20.4809552Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4809621Z                     tmp1_vec += tmp0;
2022-11-23T01:30:20.4809684Z                 }
2022-11-23T01:30:20.4809876Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.4809992Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:20.4810079Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4810142Z                 {
2022-11-23T01:30:20.4810240Z                     auto tmp0 = out_ptr2[i1 + (8*i0)];
2022-11-23T01:30:20.4810314Z                     tmp1 += tmp0;
2022-11-23T01:30:20.4810366Z                 }
2022-11-23T01:30:20.4810471Z                 out_ptr3[i0] = tmp1;
2022-11-23T01:30:20.4810533Z             }
2022-11-23T01:30:20.4810596Z         }
2022-11-23T01:30:20.4810669Z         #pragma omp for 
2022-11-23T01:30:20.4810749Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.4810809Z         {
2022-11-23T01:30:20.4810928Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + 8*i0);
2022-11-23T01:30:20.4811056Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T01:30:20.4811138Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4811225Z             tmp2.store(out_ptr4 + 8*i0);
2022-11-23T01:30:20.4811286Z         }
2022-11-23T01:30:20.4811377Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4811457Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.4811506Z         {
2022-11-23T01:30:20.4811587Z             auto tmp0 = out_ptr3[i0];
2022-11-23T01:30:20.4811683Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:30:20.4811765Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4811843Z             out_ptr4[i0] = tmp2;
2022-11-23T01:30:20.4811905Z         }
2022-11-23T01:30:20.4811965Z     }
2022-11-23T01:30:20.4812013Z }
2022-11-23T01:30:20.4812097Z ''')
2022-11-23T01:30:20.4812103Z 
2022-11-23T01:30:20.4812107Z 
2022-11-23T01:30:20.4812195Z async_compile.wait(globals())
2022-11-23T01:30:20.4812264Z del async_compile
2022-11-23T01:30:20.4812269Z 
2022-11-23T01:30:20.4812341Z def call(args):
2022-11-23T01:30:20.4812408Z     arg0_1, = args
2022-11-23T01:30:20.4812477Z     args.clear()
2022-11-23T01:30:20.4812683Z     buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4812888Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4813083Z     buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4813276Z     buf3 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4813467Z     buf4 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4813706Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:20.4813774Z     del arg0_1
2022-11-23T01:30:20.4813871Z     return (buf4, buf3, buf2, buf1, buf0, )
2022-11-23T01:30:20.4813876Z 
2022-11-23T01:30:20.4813880Z 
2022-11-23T01:30:20.4813955Z if __name__ == "__main__":
2022-11-23T01:30:20.4814058Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4814180Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4814392Z     arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4814499Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4814504Z 
2022-11-23T01:30:20.4814569Z ok (1.623s)
2022-11-23T01:30:20.4814864Z   test_sum5_cpu (__main__.CpuTests) ... [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4815211Z [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4815431Z [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4815671Z [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4815947Z [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4816262Z [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4816832Z [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4817206Z [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4817581Z [2022-11-23 01:27:48,313] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1998f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760> 
2022-11-23T01:30:20.4817672Z  761           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4817763Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.4817836Z               4 BINARY_ADD
2022-11-23T01:30:20.4817915Z               6 STORE_FAST               1 (b)
2022-11-23T01:30:20.4817931Z 
2022-11-23T01:30:20.4818006Z 762           8 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4818097Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4818231Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4818321Z              14 CALL_METHOD              1
2022-11-23T01:30:20.4818410Z              16 STORE_FAST               2 (c)
2022-11-23T01:30:20.4818415Z 
2022-11-23T01:30:20.4818504Z 763          18 LOAD_FAST                2 (c)
2022-11-23T01:30:20.4818588Z              20 LOAD_CONST               3 (3)
2022-11-23T01:30:20.4818648Z              22 BINARY_ADD
2022-11-23T01:30:20.4818734Z              24 STORE_FAST               3 (d)
2022-11-23T01:30:20.4818739Z 
2022-11-23T01:30:20.4818822Z 764          26 LOAD_FAST                3 (d)
2022-11-23T01:30:20.4818914Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4819049Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4819133Z              32 CALL_METHOD              1
2022-11-23T01:30:20.4819219Z              34 STORE_FAST               4 (e)
2022-11-23T01:30:20.4819223Z 
2022-11-23T01:30:20.4819306Z 765          36 LOAD_FAST                4 (e)
2022-11-23T01:30:20.4819379Z              38 LOAD_CONST               4 (5)
2022-11-23T01:30:20.4819451Z              40 BINARY_ADD
2022-11-23T01:30:20.4819535Z              42 STORE_FAST               5 (f)
2022-11-23T01:30:20.4819540Z 
2022-11-23T01:30:20.4819624Z 766          44 LOAD_FAST                5 (f)
2022-11-23T01:30:20.4819709Z              46 BUILD_TUPLE              1
2022-11-23T01:30:20.4819782Z              48 RETURN_VALUE
2022-11-23T01:30:20.4819842Z  
2022-11-23T01:30:20.4819847Z 
2022-11-23T01:30:20.4820160Z [2022-11-23 01:27:48,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:761
2022-11-23T01:30:20.4820356Z [2022-11-23 01:27:48,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.4820593Z [2022-11-23 01:27:48,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.4820869Z [2022-11-23 01:27:48,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4821106Z [2022-11-23 01:27:48,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:30:20.4821452Z [2022-11-23 01:27:48,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:762
2022-11-23T01:30:20.4821662Z [2022-11-23 01:27:48,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:30:20.4821902Z [2022-11-23 01:27:48,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.4822178Z [2022-11-23 01:27:48,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4822489Z [2022-11-23 01:27:48,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4822709Z [2022-11-23 01:27:48,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:30:20.4823047Z [2022-11-23 01:27:48,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:763
2022-11-23T01:30:20.4823256Z [2022-11-23 01:27:48,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:30:20.4823492Z [2022-11-23 01:27:48,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:30:20.4823773Z [2022-11-23 01:27:48,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4824007Z [2022-11-23 01:27:48,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:30:20.4824316Z [2022-11-23 01:27:48,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:764
2022-11-23T01:30:20.4824524Z [2022-11-23 01:27:48,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:30:20.4824767Z [2022-11-23 01:27:48,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:30:20.4825044Z [2022-11-23 01:27:48,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4825347Z [2022-11-23 01:27:48,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4825582Z [2022-11-23 01:27:48,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:30:20.4825893Z [2022-11-23 01:27:48,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:765
2022-11-23T01:30:20.4826097Z [2022-11-23 01:27:48,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:30:20.4826332Z [2022-11-23 01:27:48,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:30:20.4826613Z [2022-11-23 01:27:48,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4826847Z [2022-11-23 01:27:48,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:30:20.4827156Z [2022-11-23 01:27:48,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:766
2022-11-23T01:30:20.4827361Z [2022-11-23 01:27:48,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:30:20.4827586Z [2022-11-23 01:27:48,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.4827833Z [2022-11-23 01:27:48,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4828207Z [2022-11-23 01:27:48,319] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1998f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 760>
2022-11-23T01:30:20.4828479Z [2022-11-23 01:27:48,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4828713Z [2022-11-23 01:27:48,319] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4828968Z [2022-11-23 01:27:48,320] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4829215Z [2022-11-23 01:27:48,324] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4829402Z [2022-11-23 01:27:48,324] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4829536Z  __compiled_fn_389 <eval_with_key>.3148 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4829613Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4829786Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4829946Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:30:20.4830118Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:30:20.4830251Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:30:20.4830425Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:30:20.4830520Z output, output, output, ((add_2,),), {}
2022-11-23T01:30:20.4830525Z 
2022-11-23T01:30:20.4830853Z [2022-11-23 01:27:48,325] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4830933Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4831023Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4831110Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4831203Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4831289Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4831378Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4831456Z              12 RETURN_VALUE
2022-11-23T01:30:20.4831461Z 
2022-11-23T01:30:20.4831522Z  
2022-11-23T01:30:20.4831833Z [2022-11-23 01:27:48,325] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4831941Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_389)
2022-11-23T01:30:20.4832032Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4832121Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4832198Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4832287Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4832391Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4832480Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4832569Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4832645Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4832736Z              18 BUILD_TUPLE              1
2022-11-23T01:30:20.4832809Z              20 RETURN_VALUE
2022-11-23T01:30:20.4832815Z 
2022-11-23T01:30:20.4832875Z  
2022-11-23T01:30:20.4833059Z [2022-11-23 01:27:48,325] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4833116Z  - 
2022-11-23T01:30:20.4833233Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4833294Z             {
2022-11-23T01:30:20.4833436Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4833624Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4833741Z                 'obj_weakref': None
2022-11-23T01:30:20.4834044Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4834108Z             }
2022-11-23T01:30:20.4834158Z             
2022-11-23T01:30:20.4834228Z  - 
2022-11-23T01:30:20.4834352Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4834414Z             {
2022-11-23T01:30:20.4834559Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4834666Z                 'code': None,
2022-11-23T01:30:20.4834910Z                 'obj_weakref': <weakref at 0x7ff59c204b30; to 'Tensor' at 0x7ff5a8501d50>
2022-11-23T01:30:20.4835164Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4835225Z             }
2022-11-23T01:30:20.4835285Z             
2022-11-23T01:30:20.4835353Z  - 
2022-11-23T01:30:20.4835481Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4835543Z             {
2022-11-23T01:30:20.4835662Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4835828Z                 'code': ['___check_obj_id(model, 140693062691584)'],
2022-11-23T01:30:20.4835945Z                 'obj_weakref': None
2022-11-23T01:30:20.4836171Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4836267Z             }
2022-11-23T01:30:20.4836329Z             
2022-11-23T01:30:20.4836398Z  - 
2022-11-23T01:30:20.4836507Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4836569Z             {
2022-11-23T01:30:20.4836705Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4836920Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4837037Z                 'obj_weakref': None
2022-11-23T01:30:20.4837253Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4837314Z             }
2022-11-23T01:30:20.4837364Z             
2022-11-23T01:30:20.4837623Z [2022-11-23 01:27:48,333] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 381
2022-11-23T01:30:20.4837987Z [2022-11-23 01:27:49,767] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4spt67s57igjkactqomatrmfvbvgqje3eczzhco7s4zlsufhagg.py
2022-11-23T01:30:20.4838250Z [2022-11-23 01:27:49,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 381
2022-11-23T01:30:20.4838255Z 
2022-11-23T01:30:20.4838348Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4838415Z import torch
2022-11-23T01:30:20.4838482Z import random
2022-11-23T01:30:20.4838595Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4838703Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4838719Z 
2022-11-23T01:30:20.4838784Z aten = torch.ops.aten
2022-11-23T01:30:20.4838914Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4839004Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4839009Z 
2022-11-23T01:30:20.4839013Z 
2022-11-23T01:30:20.4839147Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4839350Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4839465Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.4839571Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4839668Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.4839720Z {
2022-11-23T01:30:20.4839803Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.4839899Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4839960Z     {
2022-11-23T01:30:20.4840036Z         #pragma omp for 
2022-11-23T01:30:20.4840116Z         for(long i0=0; i0<136; i0+=1)
2022-11-23T01:30:20.4840167Z         {
2022-11-23T01:30:20.4840228Z             {
2022-11-23T01:30:20.4840417Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4840494Z                 float tmp3 = 0;
2022-11-23T01:30:20.4840611Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.4840701Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4840765Z                 {
2022-11-23T01:30:20.4840905Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (9*i0));
2022-11-23T01:30:20.4841056Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.4841149Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4841229Z                     tmp3_vec += tmp2;
2022-11-23T01:30:20.4841292Z                 }
2022-11-23T01:30:20.4841485Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:30:20.4841603Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:30:20.4841691Z                 for(long i1=8; i1<9; i1+=1)
2022-11-23T01:30:20.4841753Z                 {
2022-11-23T01:30:20.4841839Z                     auto tmp0 = in_ptr0[i1 + (9*i0)];
2022-11-23T01:30:20.4841939Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.4842029Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4842138Z                     tmp3 += tmp2;
2022-11-23T01:30:20.4842201Z                 }
2022-11-23T01:30:20.4842282Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.4842347Z             }
2022-11-23T01:30:20.4842398Z         }
2022-11-23T01:30:20.4842471Z         #pragma omp for 
2022-11-23T01:30:20.4842550Z         for(long i0=0; i0<17; i0+=1)
2022-11-23T01:30:20.4842612Z         {
2022-11-23T01:30:20.4842673Z             {
2022-11-23T01:30:20.4842858Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4842935Z                 float tmp3 = 0;
2022-11-23T01:30:20.4843042Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.4843127Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4843190Z                 {
2022-11-23T01:30:20.4843334Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4843472Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:30:20.4843561Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4843643Z                     tmp3_vec += tmp2;
2022-11-23T01:30:20.4843705Z                 }
2022-11-23T01:30:20.4843886Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:30:20.4844002Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:30:20.4844087Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4844150Z                 {
2022-11-23T01:30:20.4844248Z                     auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4844349Z                     auto tmp1 = static_cast<float>(3);
2022-11-23T01:30:20.4844441Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4844505Z                     tmp3 += tmp2;
2022-11-23T01:30:20.4844570Z                 }
2022-11-23T01:30:20.4844648Z                 out_ptr1[i0] = tmp3;
2022-11-23T01:30:20.4844710Z             }
2022-11-23T01:30:20.4844771Z         }
2022-11-23T01:30:20.4844847Z         #pragma omp for 
2022-11-23T01:30:20.4844925Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.4844976Z         {
2022-11-23T01:30:20.4845106Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:30:20.4845237Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T01:30:20.4845320Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4845414Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.4845478Z         }
2022-11-23T01:30:20.4845569Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4845638Z         for(long i0=16; i0<17; i0+=1)
2022-11-23T01:30:20.4845696Z         {
2022-11-23T01:30:20.4845779Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:20.4845874Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:30:20.4845958Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4846036Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.4846095Z         }
2022-11-23T01:30:20.4846143Z     }
2022-11-23T01:30:20.4846228Z }
2022-11-23T01:30:20.4846310Z ''')
2022-11-23T01:30:20.4846316Z 
2022-11-23T01:30:20.4846321Z 
2022-11-23T01:30:20.4846411Z async_compile.wait(globals())
2022-11-23T01:30:20.4846482Z del async_compile
2022-11-23T01:30:20.4846487Z 
2022-11-23T01:30:20.4846555Z def call(args):
2022-11-23T01:30:20.4846622Z     arg0_1, = args
2022-11-23T01:30:20.4846680Z     args.clear()
2022-11-23T01:30:20.4846886Z     buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4847085Z     buf1 = empty_strided((1, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4847167Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:30:20.4847327Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4847441Z     del arg0_1
2022-11-23T01:30:20.4847511Z     return (buf2, )
2022-11-23T01:30:20.4847516Z 
2022-11-23T01:30:20.4847520Z 
2022-11-23T01:30:20.4847594Z if __name__ == "__main__":
2022-11-23T01:30:20.4847696Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4847818Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4848034Z     arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4848142Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4848147Z 
2022-11-23T01:30:20.4848212Z ok (1.459s)
2022-11-23T01:30:20.4848518Z   test_sum_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4848835Z [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4849053Z [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4849306Z [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4849570Z [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4849887Z [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4850230Z [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4850548Z [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4850920Z [2022-11-23 01:27:49,772] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19a810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866> 
2022-11-23T01:30:20.4851018Z  867           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4851109Z               2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4851200Z               4 LOAD_ATTR                0 (sum)
2022-11-23T01:30:20.4851337Z               6 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4851418Z               8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:20.4851506Z              10 LOAD_ATTR                2 (double)
2022-11-23T01:30:20.4851650Z              12 LOAD_CONST               2 (('dtype',))
2022-11-23T01:30:20.4851741Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.4851820Z              16 BINARY_MULTIPLY
2022-11-23T01:30:20.4851907Z              18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4851996Z              20 LOAD_ATTR                0 (sum)
2022-11-23T01:30:20.4852075Z              22 LOAD_GLOBAL              1 (torch)
2022-11-23T01:30:20.4852163Z              24 LOAD_ATTR                2 (double)
2022-11-23T01:30:20.4852306Z              26 LOAD_CONST               2 (('dtype',))
2022-11-23T01:30:20.4852423Z              28 CALL_FUNCTION_KW         1
2022-11-23T01:30:20.4852495Z              30 BINARY_ADD
2022-11-23T01:30:20.4852569Z              32 RETURN_VALUE
2022-11-23T01:30:20.4852627Z  
2022-11-23T01:30:20.4852632Z 
2022-11-23T01:30:20.4852948Z [2022-11-23 01:27:49,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:867
2022-11-23T01:30:20.4853146Z [2022-11-23 01:27:49,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.4853384Z [2022-11-23 01:27:49,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.4853650Z [2022-11-23 01:27:49,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4853983Z [2022-11-23 01:27:49,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4854330Z [2022-11-23 01:27:49,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4854827Z [2022-11-23 01:27:49,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4855217Z [2022-11-23 01:27:49,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:30:20.4855645Z [2022-11-23 01:27:49,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:30:20.4855926Z [2022-11-23 01:27:49,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4856162Z [2022-11-23 01:27:49,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.4856556Z [2022-11-23 01:27:49,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4856854Z [2022-11-23 01:27:49,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4857313Z [2022-11-23 01:27:49,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4857669Z [2022-11-23 01:27:49,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype)]
2022-11-23T01:30:20.4858055Z [2022-11-23 01:27:49,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:30:20.4858325Z [2022-11-23 01:27:49,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4858570Z [2022-11-23 01:27:49,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4858944Z [2022-11-23 01:27:49,778] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19a810, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 866>
2022-11-23T01:30:20.4859187Z [2022-11-23 01:27:49,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4859474Z [2022-11-23 01:27:49,778] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4859726Z [2022-11-23 01:27:49,779] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4859974Z [2022-11-23 01:27:49,782] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4860149Z [2022-11-23 01:27:49,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4860281Z  __compiled_fn_390 <eval_with_key>.3154 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4860369Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4860546Z call_method, sum_1, sum, (ex_0_, -1), {'dtype': torch.float64}
2022-11-23T01:30:20.4860722Z call_function, mul, <built-in function mul>, (ex_0_, sum_1), {}
2022-11-23T01:30:20.4860893Z call_method, sum_2, sum, (ex_0_,), {'dtype': torch.float64}
2022-11-23T01:30:20.4861105Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:30:20.4861199Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.4861205Z 
2022-11-23T01:30:20.4861521Z [2022-11-23 01:27:49,783] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4861614Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4861702Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4861787Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4861877Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4861961Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4862049Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4862122Z              12 RETURN_VALUE
2022-11-23T01:30:20.4862127Z 
2022-11-23T01:30:20.4862176Z  
2022-11-23T01:30:20.4862495Z [2022-11-23 01:27:49,783] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4862608Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_390)
2022-11-23T01:30:20.4862696Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4862782Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4862856Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4862942Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4863017Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.4863090Z              12 RETURN_VALUE
2022-11-23T01:30:20.4863095Z 
2022-11-23T01:30:20.4863153Z  
2022-11-23T01:30:20.4863334Z [2022-11-23 01:27:49,784] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4863402Z  - 
2022-11-23T01:30:20.4863517Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4863580Z             {
2022-11-23T01:30:20.4863708Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4863895Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4864011Z                 'obj_weakref': None
2022-11-23T01:30:20.4864235Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4864298Z             }
2022-11-23T01:30:20.4864360Z             
2022-11-23T01:30:20.4864426Z  - 
2022-11-23T01:30:20.4864537Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4864596Z             {
2022-11-23T01:30:20.4864737Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4864844Z                 'code': None,
2022-11-23T01:30:20.4865058Z                 'obj_weakref': <weakref at 0x7ff58f9df740; to 'Tensor' at 0x7ff59c05f470>
2022-11-23T01:30:20.4865311Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4865375Z             }
2022-11-23T01:30:20.4865438Z             
2022-11-23T01:30:20.4865499Z  - 
2022-11-23T01:30:20.4865628Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4865692Z             {
2022-11-23T01:30:20.4865823Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4866022Z                 'code': ['___check_obj_id(model, 140693068975696)'],
2022-11-23T01:30:20.4866142Z                 'obj_weakref': None
2022-11-23T01:30:20.4866374Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4866425Z             }
2022-11-23T01:30:20.4866488Z             
2022-11-23T01:30:20.4866557Z  - 
2022-11-23T01:30:20.4866679Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4866742Z             {
2022-11-23T01:30:20.4866877Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4867079Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4867198Z                 'obj_weakref': None
2022-11-23T01:30:20.4867417Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4867507Z             }
2022-11-23T01:30:20.4867572Z             
2022-11-23T01:30:20.4867642Z  - 
2022-11-23T01:30:20.4867777Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4867827Z             {
2022-11-23T01:30:20.4867947Z                 'guard_types': None,
2022-11-23T01:30:20.4868054Z                 'code': None,
2022-11-23T01:30:20.4868170Z                 'obj_weakref': None
2022-11-23T01:30:20.4868288Z                 'guarded_class': None
2022-11-23T01:30:20.4868351Z             }
2022-11-23T01:30:20.4868414Z             
2022-11-23T01:30:20.4868470Z  - 
2022-11-23T01:30:20.4868619Z             global 'torch.double' CONSTANT_MATCH
2022-11-23T01:30:20.4868682Z             {
2022-11-23T01:30:20.4868821Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.4868993Z                 'code': ["str(torch.double) == 'torch.float64'"],
2022-11-23T01:30:20.4869114Z                 'obj_weakref': None
2022-11-23T01:30:20.4869340Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:20.4869392Z             }
2022-11-23T01:30:20.4869457Z             
2022-11-23T01:30:20.4869717Z [2022-11-23 01:27:49,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 382
2022-11-23T01:30:20.4870087Z [2022-11-23 01:27:51,224] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lk/clk2snsasbdbcsoyklz5exqx2ofjjrpjkhjpmftxlqsvmbszvhao.py
2022-11-23T01:30:20.4870349Z [2022-11-23 01:27:51,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 382
2022-11-23T01:30:20.4870355Z 
2022-11-23T01:30:20.4870450Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4870519Z import torch
2022-11-23T01:30:20.4870589Z import random
2022-11-23T01:30:20.4870691Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4870812Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4870820Z 
2022-11-23T01:30:20.4870898Z aten = torch.ops.aten
2022-11-23T01:30:20.4871030Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4871122Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4871127Z 
2022-11-23T01:30:20.4871131Z 
2022-11-23T01:30:20.4871262Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4871467Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4871592Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4871681Z                        double* __restrict__ out_ptr0,
2022-11-23T01:30:20.4871776Z                        double* __restrict__ out_ptr1,
2022-11-23T01:30:20.4871870Z                        double* __restrict__ out_ptr2)
2022-11-23T01:30:20.4871929Z {
2022-11-23T01:30:20.4872027Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4872086Z     {
2022-11-23T01:30:20.4872164Z         #pragma omp for 
2022-11-23T01:30:20.4872237Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4872300Z         {
2022-11-23T01:30:20.4872361Z             {
2022-11-23T01:30:20.4872451Z                 {
2022-11-23T01:30:20.4872535Z                     double tmp2 = 0;
2022-11-23T01:30:20.4872625Z                     for(long i1=0; i1<32; i1+=1)
2022-11-23T01:30:20.4872691Z                     {
2022-11-23T01:30:20.4872748Z                         {
2022-11-23T01:30:20.4872851Z                             auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:20.4872964Z                             auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.4873044Z                             tmp2 += tmp1;
2022-11-23T01:30:20.4873111Z                         }
2022-11-23T01:30:20.4873175Z                     }
2022-11-23T01:30:20.4873258Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.4873310Z                 }
2022-11-23T01:30:20.4873371Z             }
2022-11-23T01:30:20.4873431Z         }
2022-11-23T01:30:20.4873518Z     }
2022-11-23T01:30:20.4873576Z     {
2022-11-23T01:30:20.4873638Z         {
2022-11-23T01:30:20.4873706Z             double tmp2 = 0;
2022-11-23T01:30:20.4873892Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4873957Z             {
2022-11-23T01:30:20.4874062Z                 #pragma omp for reduction(+:tmp2) 
2022-11-23T01:30:20.4874152Z                 for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:30:20.4874215Z                 {
2022-11-23T01:30:20.4874281Z                     {
2022-11-23T01:30:20.4874361Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4874471Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.4874548Z                         tmp2 += tmp1;
2022-11-23T01:30:20.4874613Z                     }
2022-11-23T01:30:20.4874676Z                 }
2022-11-23T01:30:20.4874737Z             }
2022-11-23T01:30:20.4874813Z             out_ptr1[0] = tmp2;
2022-11-23T01:30:20.4874862Z         }
2022-11-23T01:30:20.4874926Z     }
2022-11-23T01:30:20.4875021Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4875081Z     {
2022-11-23T01:30:20.4875155Z         #pragma omp for 
2022-11-23T01:30:20.4875238Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4875299Z         {
2022-11-23T01:30:20.4875367Z             #pragma GCC ivdep
2022-11-23T01:30:20.4875450Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:30:20.4875513Z             {
2022-11-23T01:30:20.4875574Z                 {
2022-11-23T01:30:20.4875640Z                     {
2022-11-23T01:30:20.4875743Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:30:20.4875824Z                         auto tmp2 = out_ptr0[i1];
2022-11-23T01:30:20.4875915Z                         auto tmp4 = out_ptr1[0];
2022-11-23T01:30:20.4876022Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.4876113Z                         auto tmp3 = tmp1 * tmp2;
2022-11-23T01:30:20.4876200Z                         auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:20.4876294Z                         out_ptr2[i1 + (32*i0)] = tmp5;
2022-11-23T01:30:20.4876358Z                     }
2022-11-23T01:30:20.4876412Z                 }
2022-11-23T01:30:20.4876477Z             }
2022-11-23T01:30:20.4876535Z         }
2022-11-23T01:30:20.4876595Z     }
2022-11-23T01:30:20.4876654Z }
2022-11-23T01:30:20.4876739Z ''')
2022-11-23T01:30:20.4876744Z 
2022-11-23T01:30:20.4876748Z 
2022-11-23T01:30:20.4876840Z async_compile.wait(globals())
2022-11-23T01:30:20.4876899Z del async_compile
2022-11-23T01:30:20.4876915Z 
2022-11-23T01:30:20.4876972Z def call(args):
2022-11-23T01:30:20.4877039Z     arg0_1, = args
2022-11-23T01:30:20.4877108Z     args.clear()
2022-11-23T01:30:20.4877299Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.4877480Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.4877674Z     buf2 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.4877863Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.4877961Z     del arg0_1
2022-11-23T01:30:20.4878032Z     return (buf2, )
2022-11-23T01:30:20.4878037Z 
2022-11-23T01:30:20.4878042Z 
2022-11-23T01:30:20.4878115Z if __name__ == "__main__":
2022-11-23T01:30:20.4878227Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4878345Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4878546Z     arg0_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4878652Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4878657Z 
2022-11-23T01:30:20.4878722Z ok (1.457s)
2022-11-23T01:30:20.4879009Z   test_sum_int_cpu (__main__.CpuTests) ... [2022-11-23 01:27:51,229] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4879328Z [2022-11-23 01:27:51,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4879572Z [2022-11-23 01:27:51,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4879825Z [2022-11-23 01:27:51,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4880101Z [2022-11-23 01:27:51,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4880419Z [2022-11-23 01:27:51,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4880760Z [2022-11-23 01:27:51,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4881082Z [2022-11-23 01:27:51,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4881460Z [2022-11-23 01:27:51,230] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:30:20.4881552Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:30:20.4881630Z               2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4881728Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4881862Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4881945Z               8 CALL_METHOD              1
2022-11-23T01:30:20.4882023Z              10 BINARY_MULTIPLY
2022-11-23T01:30:20.4882110Z              12 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4882197Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4882270Z              16 CALL_METHOD              0
2022-11-23T01:30:20.4882341Z              18 BINARY_ADD
2022-11-23T01:30:20.4882417Z              20 RETURN_VALUE
2022-11-23T01:30:20.4882476Z  
2022-11-23T01:30:20.4882482Z 
2022-11-23T01:30:20.4882798Z [2022-11-23 01:27:51,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:30:20.4883007Z [2022-11-23 01:27:51,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:30:20.4883252Z [2022-11-23 01:27:51,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:30:20.4883522Z [2022-11-23 01:27:51,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.4883833Z [2022-11-23 01:27:51,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4884169Z [2022-11-23 01:27:51,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4884491Z [2022-11-23 01:27:51,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.4884726Z [2022-11-23 01:27:51,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.4884991Z [2022-11-23 01:27:51,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4885295Z [2022-11-23 01:27:51,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4885561Z [2022-11-23 01:27:51,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4885803Z [2022-11-23 01:27:51,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4886206Z [2022-11-23 01:27:51,234] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:30:20.4886452Z [2022-11-23 01:27:51,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4886682Z [2022-11-23 01:27:51,234] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4886921Z [2022-11-23 01:27:51,235] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4887168Z [2022-11-23 01:27:51,239] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4887353Z [2022-11-23 01:27:51,239] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4887488Z  __compiled_fn_391 <eval_with_key>.3160 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4887576Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4887712Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:30:20.4887882Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:30:20.4887972Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:30:20.4888133Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:30:20.4888226Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.4888232Z 
2022-11-23T01:30:20.4888553Z [2022-11-23 01:27:51,239] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4888646Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4888735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4888819Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4888911Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4888994Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4889070Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4889144Z              12 RETURN_VALUE
2022-11-23T01:30:20.4889149Z 
2022-11-23T01:30:20.4889206Z  
2022-11-23T01:30:20.4889528Z [2022-11-23 01:27:51,239] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4889636Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_391)
2022-11-23T01:30:20.4889724Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4889811Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4889874Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4889959Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4890046Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.4890122Z              12 RETURN_VALUE
2022-11-23T01:30:20.4890127Z 
2022-11-23T01:30:20.4890186Z  
2022-11-23T01:30:20.4890367Z [2022-11-23 01:27:51,240] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4890436Z  - 
2022-11-23T01:30:20.4890543Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4890604Z             {
2022-11-23T01:30:20.4890743Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4890957Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4891076Z                 'obj_weakref': None
2022-11-23T01:30:20.4891299Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4891362Z             }
2022-11-23T01:30:20.4891422Z             
2022-11-23T01:30:20.4891478Z  - 
2022-11-23T01:30:20.4891599Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4891660Z             {
2022-11-23T01:30:20.4891800Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4891904Z                 'code': None,
2022-11-23T01:30:20.4892115Z                 'obj_weakref': <weakref at 0x7ff59c206660; to 'Tensor' at 0x7ff59c045490>
2022-11-23T01:30:20.4892369Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4892447Z             }
2022-11-23T01:30:20.4892508Z             
2022-11-23T01:30:20.4892577Z  - 
2022-11-23T01:30:20.4892706Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4892766Z             {
2022-11-23T01:30:20.4892902Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4893055Z                 'code': ['___check_obj_id(model, 140692652641728)'],
2022-11-23T01:30:20.4893170Z                 'obj_weakref': None
2022-11-23T01:30:20.4893394Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4893455Z             }
2022-11-23T01:30:20.4893516Z             
2022-11-23T01:30:20.4893585Z  - 
2022-11-23T01:30:20.4893703Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4893753Z             {
2022-11-23T01:30:20.4893884Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4894098Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4894214Z                 'obj_weakref': None
2022-11-23T01:30:20.4894434Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4894496Z             }
2022-11-23T01:30:20.4894557Z             
2022-11-23T01:30:20.4894813Z [2022-11-23 01:27:51,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 383
2022-11-23T01:30:20.4895164Z [2022-11-23 01:27:52,625] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2j/c2jpxgv3ces5cpd36h57d2pbl2xhcse4aja344kchxk2ynqsxzir.py
2022-11-23T01:30:20.4895424Z [2022-11-23 01:27:52,626] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 383
2022-11-23T01:30:20.4895658Z [2022-11-23 01:27:52,629] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4895968Z [2022-11-23 01:27:52,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4896187Z [2022-11-23 01:27:52,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4896561Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4896838Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4897155Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4897500Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4897819Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4898231Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:30:20.4898325Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:30:20.4898415Z               2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4898506Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4898641Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4898727Z               8 CALL_METHOD              1
2022-11-23T01:30:20.4898806Z              10 BINARY_MULTIPLY
2022-11-23T01:30:20.4898893Z              12 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4898973Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4899057Z              16 CALL_METHOD              0
2022-11-23T01:30:20.4899130Z              18 BINARY_ADD
2022-11-23T01:30:20.4899245Z              20 RETURN_VALUE
2022-11-23T01:30:20.4899310Z  
2022-11-23T01:30:20.4899316Z 
2022-11-23T01:30:20.4899633Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:30:20.4899845Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:30:20.4900076Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:30:20.4900346Z [2022-11-23 01:27:52,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.4900657Z [2022-11-23 01:27:52,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4901005Z [2022-11-23 01:27:52,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4901300Z [2022-11-23 01:27:52,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.4901536Z [2022-11-23 01:27:52,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.4901801Z [2022-11-23 01:27:52,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4902105Z [2022-11-23 01:27:52,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4902372Z [2022-11-23 01:27:52,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4902614Z [2022-11-23 01:27:52,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4902990Z [2022-11-23 01:27:52,635] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:30:20.4903223Z [2022-11-23 01:27:52,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4903451Z [2022-11-23 01:27:52,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4903701Z [2022-11-23 01:27:52,636] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4903948Z [2022-11-23 01:27:52,639] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4904136Z [2022-11-23 01:27:52,640] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4904271Z  __compiled_fn_392 <eval_with_key>.3166 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4904361Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4904499Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:30:20.4904657Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:30:20.4904771Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:30:20.4904947Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:30:20.4905039Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.4905044Z 
2022-11-23T01:30:20.4905366Z [2022-11-23 01:27:52,640] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4905457Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4905546Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4905633Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4905714Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4905800Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4905888Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4905992Z              12 RETURN_VALUE
2022-11-23T01:30:20.4905997Z 
2022-11-23T01:30:20.4906058Z  
2022-11-23T01:30:20.4906382Z [2022-11-23 01:27:52,640] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4906491Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_392)
2022-11-23T01:30:20.4906580Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4906657Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4906733Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4906820Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4906912Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.4906986Z              12 RETURN_VALUE
2022-11-23T01:30:20.4906991Z 
2022-11-23T01:30:20.4907052Z  
2022-11-23T01:30:20.4907234Z [2022-11-23 01:27:52,641] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4907293Z  - 
2022-11-23T01:30:20.4907413Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4907476Z             {
2022-11-23T01:30:20.4907618Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4907808Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4907926Z                 'obj_weakref': None
2022-11-23T01:30:20.4908154Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4908206Z             }
2022-11-23T01:30:20.4908269Z             
2022-11-23T01:30:20.4908338Z  - 
2022-11-23T01:30:20.4908463Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4908526Z             {
2022-11-23T01:30:20.4908666Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4908771Z                 'code': None,
2022-11-23T01:30:20.4908968Z                 'obj_weakref': <weakref at 0x7ff57f911a30; to 'Tensor' at 0x7ff58fcb8130>
2022-11-23T01:30:20.4909222Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4909288Z             }
2022-11-23T01:30:20.4909352Z             
2022-11-23T01:30:20.4909425Z  - 
2022-11-23T01:30:20.4909555Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4909617Z             {
2022-11-23T01:30:20.4909738Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4909907Z                 'code': ['___check_obj_id(model, 140692652641728)'],
2022-11-23T01:30:20.4910025Z                 'obj_weakref': None
2022-11-23T01:30:20.4910255Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4910318Z             }
2022-11-23T01:30:20.4910381Z             
2022-11-23T01:30:20.4910450Z  - 
2022-11-23T01:30:20.4910558Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4910621Z             {
2022-11-23T01:30:20.4910758Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4910973Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4911088Z                 'obj_weakref': None
2022-11-23T01:30:20.4911339Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4911405Z             }
2022-11-23T01:30:20.4911456Z             
2022-11-23T01:30:20.4911717Z [2022-11-23 01:27:52,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 384
2022-11-23T01:30:20.4912084Z [2022-11-23 01:27:54,208] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2w/c2w2jmkoalld6cty272x6vx5v3lidbvrprn5kyanqbqufptmf7lr.py
2022-11-23T01:30:20.4912350Z [2022-11-23 01:27:54,208] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 384
2022-11-23T01:30:20.4912588Z [2022-11-23 01:27:54,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4912899Z [2022-11-23 01:27:54,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4913143Z [2022-11-23 01:27:54,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4913396Z [2022-11-23 01:27:54,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4913669Z [2022-11-23 01:27:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4914043Z [2022-11-23 01:27:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4914394Z [2022-11-23 01:27:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4914715Z [2022-11-23 01:27:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4915089Z [2022-11-23 01:27:54,213] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857> 
2022-11-23T01:30:20.4915183Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:30:20.4915272Z               2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4915363Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4915498Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.4915584Z               8 CALL_METHOD              1
2022-11-23T01:30:20.4915652Z              10 BINARY_MULTIPLY
2022-11-23T01:30:20.4915744Z              12 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4915835Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:30:20.4915923Z              16 CALL_METHOD              0
2022-11-23T01:30:20.4915996Z              18 BINARY_ADD
2022-11-23T01:30:20.4916071Z              20 RETURN_VALUE
2022-11-23T01:30:20.4916130Z  
2022-11-23T01:30:20.4916136Z 
2022-11-23T01:30:20.4916437Z [2022-11-23 01:27:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:858
2022-11-23T01:30:20.4916646Z [2022-11-23 01:27:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:30:20.4916890Z [2022-11-23 01:27:54,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:30:20.4917161Z [2022-11-23 01:27:54,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.4917470Z [2022-11-23 01:27:54,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4917814Z [2022-11-23 01:27:54,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.4918147Z [2022-11-23 01:27:54,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.4918382Z [2022-11-23 01:27:54,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.4918645Z [2022-11-23 01:27:54,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4918945Z [2022-11-23 01:27:54,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.4919201Z [2022-11-23 01:27:54,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4919441Z [2022-11-23 01:27:54,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4919841Z [2022-11-23 01:27:54,218] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19a600, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 857>
2022-11-23T01:30:20.4920087Z [2022-11-23 01:27:54,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.4920318Z [2022-11-23 01:27:54,218] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4920568Z [2022-11-23 01:27:54,219] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4920815Z [2022-11-23 01:27:54,223] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4921001Z [2022-11-23 01:27:54,223] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4921134Z  __compiled_fn_393 <eval_with_key>.3172 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4921221Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4921347Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:30:20.4921519Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:30:20.4921612Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:30:20.4921786Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:30:20.4921878Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.4921883Z 
2022-11-23T01:30:20.4922205Z [2022-11-23 01:27:54,223] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4922298Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4922375Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4922460Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4922549Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4922631Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4922720Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4922796Z              12 RETURN_VALUE
2022-11-23T01:30:20.4922801Z 
2022-11-23T01:30:20.4922861Z  
2022-11-23T01:30:20.4923181Z [2022-11-23 01:27:54,223] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4923278Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_393)
2022-11-23T01:30:20.4923366Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4923453Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4923528Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4923612Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4923702Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.4923774Z              12 RETURN_VALUE
2022-11-23T01:30:20.4923779Z 
2022-11-23T01:30:20.4923826Z  
2022-11-23T01:30:20.4924004Z [2022-11-23 01:27:54,224] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4924075Z  - 
2022-11-23T01:30:20.4924191Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4924256Z             {
2022-11-23T01:30:20.4924394Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4924614Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4924721Z                 'obj_weakref': None
2022-11-23T01:30:20.4924944Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4925006Z             }
2022-11-23T01:30:20.4925071Z             
2022-11-23T01:30:20.4925140Z  - 
2022-11-23T01:30:20.4925261Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4925323Z             {
2022-11-23T01:30:20.4925452Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4925556Z                 'code': None,
2022-11-23T01:30:20.4925765Z                 'obj_weakref': <weakref at 0x7ff57f910c70; to 'Tensor' at 0x7ff58fcbb8d0>
2022-11-23T01:30:20.4926016Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4926104Z             }
2022-11-23T01:30:20.4926166Z             
2022-11-23T01:30:20.4926237Z  - 
2022-11-23T01:30:20.4926353Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4926415Z             {
2022-11-23T01:30:20.4926547Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4926713Z                 'code': ['___check_obj_id(model, 140692652641728)'],
2022-11-23T01:30:20.4926828Z                 'obj_weakref': None
2022-11-23T01:30:20.4927055Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4927118Z             }
2022-11-23T01:30:20.4927169Z             
2022-11-23T01:30:20.4927236Z  - 
2022-11-23T01:30:20.4927355Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4927417Z             {
2022-11-23T01:30:20.4927549Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4927763Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4927878Z                 'obj_weakref': None
2022-11-23T01:30:20.4928087Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4928149Z             }
2022-11-23T01:30:20.4928208Z             
2022-11-23T01:30:20.4928465Z [2022-11-23 01:27:54,231] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 385
2022-11-23T01:30:20.4928824Z [2022-11-23 01:27:55,651] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6n/c6n2btqj5pyjkh6j3cvbc7c7q5xm6y2k3o4jbca4nodfohcngubk.py
2022-11-23T01:30:20.4929083Z [2022-11-23 01:27:55,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 385
2022-11-23T01:30:20.4929088Z 
2022-11-23T01:30:20.4929178Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4929246Z import torch
2022-11-23T01:30:20.4929302Z import random
2022-11-23T01:30:20.4929418Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4929536Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4929541Z 
2022-11-23T01:30:20.4929619Z aten = torch.ops.aten
2022-11-23T01:30:20.4929750Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4929840Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4929845Z 
2022-11-23T01:30:20.4929849Z 
2022-11-23T01:30:20.4929980Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4930182Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4930284Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.4930388Z                        const bool* __restrict__ in_ptr0,
2022-11-23T01:30:20.4930481Z                        long* __restrict__ out_ptr0)
2022-11-23T01:30:20.4930540Z {
2022-11-23T01:30:20.4930624Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.4930686Z     {
2022-11-23T01:30:20.4930747Z         {
2022-11-23T01:30:20.4930810Z             long tmp2 = 0;
2022-11-23T01:30:20.4930883Z             long tmp3 = 0;
2022-11-23T01:30:20.4931013Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4931075Z             {
2022-11-23T01:30:20.4931198Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:30:20.4931285Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:20.4931347Z                 {
2022-11-23T01:30:20.4931402Z                     {
2022-11-23T01:30:20.4931494Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4931599Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:30:20.4931677Z                         tmp2 += tmp1;
2022-11-23T01:30:20.4931753Z                         tmp3 += tmp1;
2022-11-23T01:30:20.4931815Z                     }
2022-11-23T01:30:20.4931877Z                 }
2022-11-23T01:30:20.4931927Z             }
2022-11-23T01:30:20.4932006Z             out_ptr0[0] = tmp2;
2022-11-23T01:30:20.4932109Z             out_ptr1[0] = tmp3;
2022-11-23T01:30:20.4932170Z         }
2022-11-23T01:30:20.4932231Z     }
2022-11-23T01:30:20.4932290Z     {
2022-11-23T01:30:20.4932352Z         {
2022-11-23T01:30:20.4932423Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:30:20.4932504Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:30:20.4932600Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:30:20.4932683Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4932761Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4932840Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:30:20.4932889Z         }
2022-11-23T01:30:20.4932949Z     }
2022-11-23T01:30:20.4933006Z }
2022-11-23T01:30:20.4933081Z ''')
2022-11-23T01:30:20.4933087Z 
2022-11-23T01:30:20.4933092Z 
2022-11-23T01:30:20.4933177Z async_compile.wait(globals())
2022-11-23T01:30:20.4933248Z del async_compile
2022-11-23T01:30:20.4933253Z 
2022-11-23T01:30:20.4933321Z def call(args):
2022-11-23T01:30:20.4933391Z     arg0_1, = args
2022-11-23T01:30:20.4933450Z     args.clear()
2022-11-23T01:30:20.4933630Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.4933809Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.4933891Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:30:20.4934052Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4934117Z     del arg0_1
2022-11-23T01:30:20.4934185Z     return (buf2, )
2022-11-23T01:30:20.4934190Z 
2022-11-23T01:30:20.4934194Z 
2022-11-23T01:30:20.4934256Z if __name__ == "__main__":
2022-11-23T01:30:20.4934366Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4934486Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4934671Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.4934777Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4934784Z 
2022-11-23T01:30:20.4934788Z 
2022-11-23T01:30:20.4934882Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4934950Z import torch
2022-11-23T01:30:20.4935017Z import random
2022-11-23T01:30:20.4935119Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4935236Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4935241Z 
2022-11-23T01:30:20.4935316Z aten = torch.ops.aten
2022-11-23T01:30:20.4935448Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4935536Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4935541Z 
2022-11-23T01:30:20.4935545Z 
2022-11-23T01:30:20.4935673Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4935875Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4935988Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.4936087Z                        const unsigned char* __restrict__ in_ptr0,
2022-11-23T01:30:20.4936183Z                        long* __restrict__ out_ptr0)
2022-11-23T01:30:20.4936242Z {
2022-11-23T01:30:20.4936324Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.4936530Z     {
2022-11-23T01:30:20.4936594Z         {
2022-11-23T01:30:20.4936669Z             long tmp2 = 0;
2022-11-23T01:30:20.4936729Z             long tmp3 = 0;
2022-11-23T01:30:20.4936833Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4936896Z             {
2022-11-23T01:30:20.4937020Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:30:20.4937108Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:20.4937171Z                 {
2022-11-23T01:30:20.4937235Z                     {
2022-11-23T01:30:20.4937315Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4937420Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:30:20.4937498Z                         tmp2 += tmp1;
2022-11-23T01:30:20.4937626Z                         tmp3 += tmp1;
2022-11-23T01:30:20.4937691Z                     }
2022-11-23T01:30:20.4937754Z                 }
2022-11-23T01:30:20.4937819Z             }
2022-11-23T01:30:20.4937886Z             out_ptr0[0] = tmp2;
2022-11-23T01:30:20.4937962Z             out_ptr1[0] = tmp3;
2022-11-23T01:30:20.4938022Z         }
2022-11-23T01:30:20.4938084Z     }
2022-11-23T01:30:20.4938144Z     {
2022-11-23T01:30:20.4938204Z         {
2022-11-23T01:30:20.4938275Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:30:20.4938357Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:30:20.4938453Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:30:20.4938536Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4938618Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4938701Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:30:20.4938762Z         }
2022-11-23T01:30:20.4938810Z     }
2022-11-23T01:30:20.4938868Z }
2022-11-23T01:30:20.4938950Z ''')
2022-11-23T01:30:20.4938956Z 
2022-11-23T01:30:20.4938962Z 
2022-11-23T01:30:20.4939050Z async_compile.wait(globals())
2022-11-23T01:30:20.4939121Z del async_compile
2022-11-23T01:30:20.4939126Z 
2022-11-23T01:30:20.4939194Z def call(args):
2022-11-23T01:30:20.4939262Z     arg0_1, = args
2022-11-23T01:30:20.4939322Z     args.clear()
2022-11-23T01:30:20.4939505Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.4939683Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.4939765Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:30:20.4939924Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4939990Z     del arg0_1
2022-11-23T01:30:20.4940058Z     return (buf2, )
2022-11-23T01:30:20.4940063Z 
2022-11-23T01:30:20.4940067Z 
2022-11-23T01:30:20.4940138Z if __name__ == "__main__":
2022-11-23T01:30:20.4940239Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4940358Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4940548Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.uint8)
2022-11-23T01:30:20.4940656Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4940661Z 
2022-11-23T01:30:20.4940665Z 
2022-11-23T01:30:20.4940756Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4940824Z import torch
2022-11-23T01:30:20.4940893Z import random
2022-11-23T01:30:20.4941005Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4941111Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4941116Z 
2022-11-23T01:30:20.4941190Z aten = torch.ops.aten
2022-11-23T01:30:20.4941320Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4941410Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4941415Z 
2022-11-23T01:30:20.4941420Z 
2022-11-23T01:30:20.4941549Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4941752Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4941868Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.4942006Z                        const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.4942092Z                        long* __restrict__ out_ptr0)
2022-11-23T01:30:20.4942154Z {
2022-11-23T01:30:20.4942238Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.4942298Z     {
2022-11-23T01:30:20.4942362Z         {
2022-11-23T01:30:20.4942438Z             long tmp2 = 0;
2022-11-23T01:30:20.4942500Z             long tmp3 = 0;
2022-11-23T01:30:20.4942605Z             #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4942670Z             {
2022-11-23T01:30:20.4942796Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:30:20.4942886Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:20.4942952Z                 {
2022-11-23T01:30:20.4943018Z                     {
2022-11-23T01:30:20.4943100Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4943237Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:30:20.4943315Z                         tmp2 += tmp1;
2022-11-23T01:30:20.4943394Z                         tmp3 += tmp1;
2022-11-23T01:30:20.4943462Z                     }
2022-11-23T01:30:20.4943528Z                 }
2022-11-23T01:30:20.4943593Z             }
2022-11-23T01:30:20.4943659Z             out_ptr0[0] = tmp2;
2022-11-23T01:30:20.4943735Z             out_ptr1[0] = tmp3;
2022-11-23T01:30:20.4943797Z         }
2022-11-23T01:30:20.4943861Z     }
2022-11-23T01:30:20.4943923Z     {
2022-11-23T01:30:20.4943985Z         {
2022-11-23T01:30:20.4944068Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:30:20.4944138Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:30:20.4944234Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:30:20.4944318Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4944398Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.4944481Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:30:20.4944545Z         }
2022-11-23T01:30:20.4944607Z     }
2022-11-23T01:30:20.4944654Z }
2022-11-23T01:30:20.4944730Z ''')
2022-11-23T01:30:20.4944735Z 
2022-11-23T01:30:20.4944742Z 
2022-11-23T01:30:20.4944832Z async_compile.wait(globals())
2022-11-23T01:30:20.4944904Z del async_compile
2022-11-23T01:30:20.4944909Z 
2022-11-23T01:30:20.4944978Z def call(args):
2022-11-23T01:30:20.4945048Z     arg0_1, = args
2022-11-23T01:30:20.4945118Z     args.clear()
2022-11-23T01:30:20.4945286Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.4945461Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.4945546Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:30:20.4945708Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4945777Z     del arg0_1
2022-11-23T01:30:20.4945848Z     return (buf2, )
2022-11-23T01:30:20.4945853Z 
2022-11-23T01:30:20.4945860Z 
2022-11-23T01:30:20.4945936Z if __name__ == "__main__":
2022-11-23T01:30:20.4946049Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4946159Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4946351Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.4946459Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.4946464Z 
2022-11-23T01:30:20.4946530Z ok (4.427s)
2022-11-23T01:30:20.4946848Z   test_sum_keepdims_cpu (__main__.CpuTests) ... [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4947166Z [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4947377Z [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4947631Z [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4947948Z [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4948270Z [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4948612Z [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4948929Z [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4949299Z [2022-11-23 01:27:55,656] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224> 
2022-11-23T01:30:20.4949424Z  1225           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.4949514Z                2 LOAD_ATTR                1 (sum)
2022-11-23T01:30:20.4949607Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.4949697Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.4949757Z                8 BINARY_ADD
2022-11-23T01:30:20.4949894Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.4949986Z               12 LOAD_CONST               2 (True)
2022-11-23T01:30:20.4950136Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:30:20.4950228Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.4950315Z               18 BUILD_TUPLE              1
2022-11-23T01:30:20.4950390Z               20 RETURN_VALUE
2022-11-23T01:30:20.4950438Z  
2022-11-23T01:30:20.4950457Z 
2022-11-23T01:30:20.4950759Z [2022-11-23 01:27:55,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1225
2022-11-23T01:30:20.4950979Z [2022-11-23 01:27:55,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.4951343Z [2022-11-23 01:27:55,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.4951662Z [2022-11-23 01:27:55,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.4952001Z [2022-11-23 01:27:55,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4952379Z [2022-11-23 01:27:55,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4952721Z [2022-11-23 01:27:55,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.4953111Z [2022-11-23 01:27:55,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4953547Z [2022-11-23 01:27:55,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:30:20.4954096Z [2022-11-23 01:27:55,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method sum of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:30:20.4954341Z [2022-11-23 01:27:55,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.4954592Z [2022-11-23 01:27:55,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4954991Z [2022-11-23 01:27:55,659] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1224>
2022-11-23T01:30:20.4955236Z [2022-11-23 01:27:55,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4955468Z [2022-11-23 01:27:55,659] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4955721Z [2022-11-23 01:27:55,660] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4955967Z [2022-11-23 01:27:55,663] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4956155Z [2022-11-23 01:27:55,664] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4956318Z  __compiled_fn_394 <eval_with_key>.3178 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4956414Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4956500Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.4956665Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.4956911Z call_function, sum_1, <built-in method sum of type object at 0x7ff5d7c59c60>, (add, -1), {'keepdim': True}
2022-11-23T01:30:20.4957005Z output, output, output, ((sum_1,),), {}
2022-11-23T01:30:20.4957010Z 
2022-11-23T01:30:20.4957335Z [2022-11-23 01:27:55,664] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4957426Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4957514Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4957598Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4957694Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4957766Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4957854Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4957927Z              12 RETURN_VALUE
2022-11-23T01:30:20.4957932Z 
2022-11-23T01:30:20.4957990Z  
2022-11-23T01:30:20.4958308Z [2022-11-23 01:27:55,664] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4958412Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_394)
2022-11-23T01:30:20.4958501Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4958578Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4958653Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4958738Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4958823Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4958894Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.4958982Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.4959082Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4959183Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4959260Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4959334Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4959419Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.4959492Z              26 RETURN_VALUE
2022-11-23T01:30:20.4959497Z 
2022-11-23T01:30:20.4959554Z  
2022-11-23T01:30:20.4959734Z [2022-11-23 01:27:55,665] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4959803Z  - 
2022-11-23T01:30:20.4959909Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4959970Z             {
2022-11-23T01:30:20.4960108Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4960294Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.4960416Z                 'obj_weakref': None
2022-11-23T01:30:20.4960639Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4960733Z             }
2022-11-23T01:30:20.4960784Z             
2022-11-23T01:30:20.4960851Z  - 
2022-11-23T01:30:20.4960973Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4961034Z             {
2022-11-23T01:30:20.4961173Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4961279Z                 'code': None,
2022-11-23T01:30:20.4961488Z                 'obj_weakref': <weakref at 0x7ff58fcb9f80; to 'Tensor' at 0x7ff5a979ed90>
2022-11-23T01:30:20.4961729Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4961791Z             }
2022-11-23T01:30:20.4961852Z             
2022-11-23T01:30:20.4961920Z  - 
2022-11-23T01:30:20.4962038Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.4962127Z             {
2022-11-23T01:30:20.4962267Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4962359Z                 'code': None,
2022-11-23T01:30:20.4962571Z                 'obj_weakref': <weakref at 0x7ff5a8c13fb0; to 'Tensor' at 0x7ff58ff39990>
2022-11-23T01:30:20.4962823Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4962887Z             }
2022-11-23T01:30:20.4962949Z             
2022-11-23T01:30:20.4963016Z  - 
2022-11-23T01:30:20.4963145Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4963195Z             {
2022-11-23T01:30:20.4963327Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4963495Z                 'code': ['___check_obj_id(model, 140693063912752)'],
2022-11-23T01:30:20.4963612Z                 'obj_weakref': None
2022-11-23T01:30:20.4963841Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4963905Z             }
2022-11-23T01:30:20.4963964Z             
2022-11-23T01:30:20.4964019Z  - 
2022-11-23T01:30:20.4964142Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4964204Z             {
2022-11-23T01:30:20.4964338Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4964556Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4964671Z                 'obj_weakref': None
2022-11-23T01:30:20.4964886Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4964936Z             }
2022-11-23T01:30:20.4964996Z             
2022-11-23T01:30:20.4965064Z  - 
2022-11-23T01:30:20.4965195Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.4965256Z             {
2022-11-23T01:30:20.4965373Z                 'guard_types': None,
2022-11-23T01:30:20.4965475Z                 'code': None,
2022-11-23T01:30:20.4965578Z                 'obj_weakref': None
2022-11-23T01:30:20.4965698Z                 'guarded_class': None
2022-11-23T01:30:20.4965759Z             }
2022-11-23T01:30:20.4965821Z             
2022-11-23T01:30:20.4966079Z [2022-11-23 01:27:55,670] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 386
2022-11-23T01:30:20.4966443Z [2022-11-23 01:27:55,679] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cvina4brzyull2hl5ureduzj6bi654fgv6uxkx4kb2v22mpxlu7b.py
2022-11-23T01:30:20.4966703Z [2022-11-23 01:27:55,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 386
2022-11-23T01:30:20.4966709Z 
2022-11-23T01:30:20.4966802Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4966859Z import torch
2022-11-23T01:30:20.4966926Z import random
2022-11-23T01:30:20.4967038Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4967156Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4967161Z 
2022-11-23T01:30:20.4967238Z aten = torch.ops.aten
2022-11-23T01:30:20.4967367Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4967457Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4967503Z 
2022-11-23T01:30:20.4967508Z 
2022-11-23T01:30:20.4967630Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4967834Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4967951Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4968054Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.4968152Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.4968211Z {
2022-11-23T01:30:20.4968306Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4968365Z     {
2022-11-23T01:30:20.4968429Z         #pragma omp for 
2022-11-23T01:30:20.4968509Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.4968571Z         {
2022-11-23T01:30:20.4968658Z             {
2022-11-23T01:30:20.4968850Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.4968931Z                 float tmp3 = 0;
2022-11-23T01:30:20.4969052Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:30:20.4969129Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.4969194Z                 {
2022-11-23T01:30:20.4969336Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4969477Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i0) + (8*i1));
2022-11-23T01:30:20.4969567Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4969647Z                     tmp3_vec += tmp2;
2022-11-23T01:30:20.4969707Z                 }
2022-11-23T01:30:20.4969900Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:30:20.4970010Z                 #pragma omp simd simdlen(4)  reduction(+:tmp3)
2022-11-23T01:30:20.4970096Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.4970161Z                 {
2022-11-23T01:30:20.4970258Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.4970350Z                     auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.4970438Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.4970512Z                     tmp3 += tmp2;
2022-11-23T01:30:20.4970563Z                 }
2022-11-23T01:30:20.4970641Z                 out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.4970703Z             }
2022-11-23T01:30:20.4970765Z         }
2022-11-23T01:30:20.4970826Z     }
2022-11-23T01:30:20.4970883Z }
2022-11-23T01:30:20.4970959Z ''')
2022-11-23T01:30:20.4970964Z 
2022-11-23T01:30:20.4970969Z 
2022-11-23T01:30:20.4971045Z async_compile.wait(globals())
2022-11-23T01:30:20.4971115Z del async_compile
2022-11-23T01:30:20.4971122Z 
2022-11-23T01:30:20.4971190Z def call(args):
2022-11-23T01:30:20.4971264Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.4971333Z     args.clear()
2022-11-23T01:30:20.4971529Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4971690Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.4971745Z     del arg0_1
2022-11-23T01:30:20.4971810Z     del arg1_1
2022-11-23T01:30:20.4971879Z     return (buf0, )
2022-11-23T01:30:20.4971884Z 
2022-11-23T01:30:20.4971888Z 
2022-11-23T01:30:20.4971963Z if __name__ == "__main__":
2022-11-23T01:30:20.4972076Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.4972195Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.4972389Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4972581Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4972686Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.4972702Z 
2022-11-23T01:30:20.4972755Z ok (0.027s)
2022-11-23T01:30:20.4973087Z   test_tanh_cpu (__main__.CpuTests) ... [2022-11-23 01:27:55,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.4973405Z [2022-11-23 01:27:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.4973621Z [2022-11-23 01:27:55,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.4973870Z [2022-11-23 01:27:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.4974141Z [2022-11-23 01:27:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.4974461Z [2022-11-23 01:27:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4974838Z [2022-11-23 01:27:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4975157Z [2022-11-23 01:27:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.4975517Z [2022-11-23 01:27:55,683] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d112760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116> 
2022-11-23T01:30:20.4975612Z  2117           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.4975703Z                2 LOAD_METHOD              1 (tanh)
2022-11-23T01:30:20.4975793Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4975881Z                6 CALL_METHOD              1
2022-11-23T01:30:20.4975967Z                8 LOAD_CONST               1 (2)
2022-11-23T01:30:20.4976044Z               10 BINARY_ADD
2022-11-23T01:30:20.4976135Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.4976214Z               14 LOAD_METHOD              1 (tanh)
2022-11-23T01:30:20.4976302Z               16 LOAD_FAST                0 (x)
2022-11-23T01:30:20.4976390Z               18 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4976584Z               20 BINARY_ADD
2022-11-23T01:30:20.4976672Z               22 CALL_METHOD              1
2022-11-23T01:30:20.4976756Z               24 BUILD_TUPLE              2
2022-11-23T01:30:20.4976836Z               26 RETURN_VALUE
2022-11-23T01:30:20.4976885Z  
2022-11-23T01:30:20.4976891Z 
2022-11-23T01:30:20.4977211Z [2022-11-23 01:27:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2117
2022-11-23T01:30:20.4977426Z [2022-11-23 01:27:55,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.4977734Z [2022-11-23 01:27:55,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.4977982Z [2022-11-23 01:27:55,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.tanh)]
2022-11-23T01:30:20.4978266Z [2022-11-23 01:27:55,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:30:20.4978503Z [2022-11-23 01:27:55,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.4978779Z [2022-11-23 01:27:55,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4979022Z [2022-11-23 01:27:55,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.4979340Z [2022-11-23 01:27:55,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.4979663Z [2022-11-23 01:27:55,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.tanh)]
2022-11-23T01:30:20.4979973Z [2022-11-23 01:27:55,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:30:20.4980317Z [2022-11-23 01:27:55,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.tanh), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.4980625Z [2022-11-23 01:27:55,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:30:20.4980890Z [2022-11-23 01:27:55,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.4981132Z [2022-11-23 01:27:55,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4981549Z [2022-11-23 01:27:55,699] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d112760, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2116>
2022-11-23T01:30:20.4981790Z [2022-11-23 01:27:55,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.4982024Z [2022-11-23 01:27:55,699] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.4982275Z [2022-11-23 01:27:55,700] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.4982510Z [2022-11-23 01:27:55,703] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.4982695Z [2022-11-23 01:27:55,704] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.4982827Z  __compiled_fn_395 <eval_with_key>.3184 opcode, name, target, args, kwargs
2022-11-23T01:30:20.4982918Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.4983022Z call_function, tanh, aten.tanh, (ex_0_,), {}
2022-11-23T01:30:20.4983195Z call_function, add, <built-in function add>, (tanh, 2), {}
2022-11-23T01:30:20.4983369Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.4983474Z call_function, tanh_1, aten.tanh, (add_1,), {}
2022-11-23T01:30:20.4983566Z output, output, output, ((add, tanh_1),), {}
2022-11-23T01:30:20.4983571Z 
2022-11-23T01:30:20.4983893Z [2022-11-23 01:27:55,704] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4983988Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.4984077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4984164Z               4 BUILD_MAP                0
2022-11-23T01:30:20.4984256Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.4984344Z               8 DICT_MERGE               1
2022-11-23T01:30:20.4984420Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.4984495Z              12 RETURN_VALUE
2022-11-23T01:30:20.4984502Z 
2022-11-23T01:30:20.4984563Z  
2022-11-23T01:30:20.4984886Z [2022-11-23 01:27:55,704] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.4984995Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_395)
2022-11-23T01:30:20.4985090Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.4985179Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4985255Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.4985329Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.4985432Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.4985534Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4985625Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.4985703Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.4985802Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.4985916Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.4985981Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.4986069Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.4986142Z              26 RETURN_VALUE
2022-11-23T01:30:20.4986147Z 
2022-11-23T01:30:20.4986209Z  
2022-11-23T01:30:20.4986391Z [2022-11-23 01:27:55,705] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.4986461Z  - 
2022-11-23T01:30:20.4986581Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.4986632Z             {
2022-11-23T01:30:20.4986773Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.4986959Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.4987079Z                 'obj_weakref': None
2022-11-23T01:30:20.4987331Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.4987396Z             }
2022-11-23T01:30:20.4987459Z             
2022-11-23T01:30:20.4987518Z  - 
2022-11-23T01:30:20.4987642Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.4987704Z             {
2022-11-23T01:30:20.4987844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.4987951Z                 'code': None,
2022-11-23T01:30:20.4988161Z                 'obj_weakref': <weakref at 0x7ff57f912700; to 'Tensor' at 0x7ff5a83178d0>
2022-11-23T01:30:20.4988415Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.4988479Z             }
2022-11-23T01:30:20.4988530Z             
2022-11-23T01:30:20.4988600Z  - 
2022-11-23T01:30:20.4988727Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.4988790Z             {
2022-11-23T01:30:20.4988922Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.4989092Z                 'code': ['___check_obj_id(model, 140692652651232)'],
2022-11-23T01:30:20.4989197Z                 'obj_weakref': None
2022-11-23T01:30:20.4989428Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.4989490Z             }
2022-11-23T01:30:20.4989554Z             
2022-11-23T01:30:20.4989622Z  - 
2022-11-23T01:30:20.4989743Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.4989806Z             {
2022-11-23T01:30:20.4989929Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.4990144Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.4990261Z                 'obj_weakref': None
2022-11-23T01:30:20.4990480Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.4990544Z             }
2022-11-23T01:30:20.4990607Z             
2022-11-23T01:30:20.4990676Z  - 
2022-11-23T01:30:20.4990793Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.4990854Z             {
2022-11-23T01:30:20.4990974Z                 'guard_types': None,
2022-11-23T01:30:20.4991078Z                 'code': None,
2022-11-23T01:30:20.4991193Z                 'obj_weakref': None
2022-11-23T01:30:20.4991309Z                 'guarded_class': None
2022-11-23T01:30:20.4991373Z             }
2022-11-23T01:30:20.4991423Z             
2022-11-23T01:30:20.4991682Z [2022-11-23 01:27:55,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 387
2022-11-23T01:30:20.4992049Z [2022-11-23 01:27:57,311] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2j/c2jhmzklf6wsydyygic7enwaummpfqlypapwyz2bcl3p43jyhtfa.py
2022-11-23T01:30:20.4992380Z [2022-11-23 01:27:57,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 387
2022-11-23T01:30:20.4992387Z 
2022-11-23T01:30:20.4992516Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.4992588Z import torch
2022-11-23T01:30:20.4992655Z import random
2022-11-23T01:30:20.4992767Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.4992909Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.4992915Z 
2022-11-23T01:30:20.4992991Z aten = torch.ops.aten
2022-11-23T01:30:20.4993123Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.4993211Z async_compile = AsyncCompile()
2022-11-23T01:30:20.4993216Z 
2022-11-23T01:30:20.4993221Z 
2022-11-23T01:30:20.4993355Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.4993557Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.4993672Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.4993770Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.4993916Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.4994008Z {
2022-11-23T01:30:20.4994105Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.4994167Z     {
2022-11-23T01:30:20.4994243Z         #pragma omp for 
2022-11-23T01:30:20.4994326Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.4994391Z         {
2022-11-23T01:30:20.4994516Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.4994717Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-2.0));
2022-11-23T01:30:20.4994804Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4994886Z             auto tmp3 = tmp2.exp();
2022-11-23T01:30:20.4995019Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:30:20.4995101Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:20.4995195Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:30:20.4995326Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2022-11-23T01:30:20.4995396Z             auto tmp8 = tmp6 * tmp7;
2022-11-23T01:30:20.4995516Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:30:20.4995646Z             auto tmp10 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.4995730Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:30:20.4995860Z             auto tmp12 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.4995941Z             auto tmp13 = tmp0 + tmp12;
2022-11-23T01:30:20.4996023Z             auto tmp14 = tmp13 * tmp1;
2022-11-23T01:30:20.4996095Z             auto tmp15 = tmp14.exp();
2022-11-23T01:30:20.4996177Z             auto tmp16 = tmp15 + tmp4;
2022-11-23T01:30:20.4996274Z             auto tmp17 = tmp16.reciprocal();
2022-11-23T01:30:20.4996354Z             auto tmp18 = tmp17 * tmp7;
2022-11-23T01:30:20.4996475Z             auto tmp19 = tmp18 - tmp4;
2022-11-23T01:30:20.4996565Z             tmp11.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.4996653Z             tmp19.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.4996706Z         }
2022-11-23T01:30:20.4996799Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.4996880Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:30:20.4996941Z         {
2022-11-23T01:30:20.4997025Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.4997172Z             auto tmp1 = static_cast<float>(-2.0);
2022-11-23T01:30:20.4997254Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.4997330Z             auto tmp3 = std::exp(tmp2);
2022-11-23T01:30:20.4997427Z             auto tmp4 = static_cast<float>(1.0);
2022-11-23T01:30:20.4997507Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:30:20.4997585Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:30:20.4997682Z             auto tmp7 = static_cast<float>(2.0);
2022-11-23T01:30:20.4997763Z             auto tmp8 = tmp6 * tmp7;
2022-11-23T01:30:20.4997882Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:30:20.4997968Z             auto tmp10 = static_cast<float>(2);
2022-11-23T01:30:20.4998053Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:30:20.4998149Z             auto tmp12 = static_cast<float>(1);
2022-11-23T01:30:20.4998229Z             auto tmp13 = tmp0 + tmp12;
2022-11-23T01:30:20.4998339Z             auto tmp14 = tmp13 * tmp1;
2022-11-23T01:30:20.4998431Z             auto tmp15 = std::exp(tmp14);
2022-11-23T01:30:20.4998513Z             auto tmp16 = tmp15 + tmp4;
2022-11-23T01:30:20.4998582Z             auto tmp17 = 1 / tmp16;
2022-11-23T01:30:20.4998664Z             auto tmp18 = tmp17 * tmp7;
2022-11-23T01:30:20.4998785Z             auto tmp19 = tmp18 - tmp4;
2022-11-23T01:30:20.4998862Z             out_ptr0[i0] = tmp11;
2022-11-23T01:30:20.4998940Z             out_ptr1[i0] = tmp19;
2022-11-23T01:30:20.4999001Z         }
2022-11-23T01:30:20.4999061Z     }
2022-11-23T01:30:20.4999108Z }
2022-11-23T01:30:20.4999182Z ''')
2022-11-23T01:30:20.4999188Z 
2022-11-23T01:30:20.4999192Z 
2022-11-23T01:30:20.4999280Z async_compile.wait(globals())
2022-11-23T01:30:20.4999351Z del async_compile
2022-11-23T01:30:20.4999355Z 
2022-11-23T01:30:20.4999456Z def call(args):
2022-11-23T01:30:20.4999524Z     arg0_1, = args
2022-11-23T01:30:20.4999594Z     args.clear()
2022-11-23T01:30:20.4999784Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.4999982Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5000145Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.5000212Z     del arg0_1
2022-11-23T01:30:20.5000288Z     return (buf0, buf1, )
2022-11-23T01:30:20.5000293Z 
2022-11-23T01:30:20.5000297Z 
2022-11-23T01:30:20.5000370Z if __name__ == "__main__":
2022-11-23T01:30:20.5000481Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5000600Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5000787Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5000893Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5000899Z 
2022-11-23T01:30:20.5000962Z ok (1.655s)
2022-11-23T01:30:20.5001268Z   test_tensor1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:57,338] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5001585Z [2022-11-23 01:27:57,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5001800Z [2022-11-23 01:27:57,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5002052Z [2022-11-23 01:27:57,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5002324Z [2022-11-23 01:27:57,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5002642Z [2022-11-23 01:27:57,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5002993Z [2022-11-23 01:27:57,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5003305Z [2022-11-23 01:27:57,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5003674Z [2022-11-23 01:27:57,339] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914> 
2022-11-23T01:30:20.5003766Z  915           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5003854Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:20.5003940Z               4 LOAD_CONST               1 (1)
2022-11-23T01:30:20.5004025Z               6 BUILD_LIST               1
2022-11-23T01:30:20.5004114Z               8 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5004204Z              10 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.5004338Z              12 LOAD_CONST               2 (('device',))
2022-11-23T01:30:20.5004454Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5004542Z              16 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5004618Z              18 BINARY_ADD
2022-11-23T01:30:20.5004710Z              20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5004796Z              22 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:20.5004801Z 
2022-11-23T01:30:20.5004886Z 916          24 LOAD_CONST               3 (5)
2022-11-23T01:30:20.5004971Z              26 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5005048Z              28 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.5005053Z 
2022-11-23T01:30:20.5005202Z 915          30 LOAD_CONST               2 (('device',))
2022-11-23T01:30:20.5005290Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5005377Z              34 BUILD_TUPLE              2
2022-11-23T01:30:20.5005481Z              36 RETURN_VALUE
2022-11-23T01:30:20.5005543Z  
2022-11-23T01:30:20.5005548Z 
2022-11-23T01:30:20.5005861Z [2022-11-23 01:27:57,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T01:30:20.5006076Z [2022-11-23 01:27:57,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5006428Z [2022-11-23 01:27:57,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5006750Z [2022-11-23 01:27:57,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5007107Z [2022-11-23 01:27:57,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:20.5007451Z [2022-11-23 01:27:57,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.5007830Z [2022-11-23 01:27:57,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TensorVariable()]
2022-11-23T01:30:20.5008223Z [2022-11-23 01:27:57,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:20.5008652Z [2022-11-23 01:27:57,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.5008886Z [2022-11-23 01:27:57,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.5009157Z [2022-11-23 01:27:57,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5009403Z [2022-11-23 01:27:57,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.5009798Z [2022-11-23 01:27:57,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5010107Z [2022-11-23 01:27:57,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:916
2022-11-23T01:30:20.5010443Z [2022-11-23 01:27:57,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5010824Z [2022-11-23 01:27:57,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:20.5011283Z [2022-11-23 01:27:57,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.5011590Z [2022-11-23 01:27:57,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:915
2022-11-23T01:30:20.5012025Z [2022-11-23 01:27:57,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:30:20.5012495Z [2022-11-23 01:27:57,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.5012792Z [2022-11-23 01:27:57,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5013034Z [2022-11-23 01:27:57,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5013407Z [2022-11-23 01:27:57,348] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19b1b0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 914>
2022-11-23T01:30:20.5013651Z [2022-11-23 01:27:57,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5013880Z [2022-11-23 01:27:57,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5014130Z [2022-11-23 01:27:57,350] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5014367Z [2022-11-23 01:27:57,353] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5014552Z [2022-11-23 01:27:57,354] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5014688Z  __compiled_fn_396 <eval_with_key>.3190 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5014776Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5015046Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, ([1],), {'device': device(type='cpu')}
2022-11-23T01:30:20.5015226Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:30:20.5015489Z call_function, tensor_1, <built-in method tensor of type object at 0x7ff5d7c59c60>, (5,), {'device': device(type='cpu')}
2022-11-23T01:30:20.5015594Z output, output, output, ((add, tensor_1),), {}
2022-11-23T01:30:20.5015599Z 
2022-11-23T01:30:20.5015922Z [2022-11-23 01:27:57,354] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5016006Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5016095Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5016180Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5016271Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5016355Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5016596Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5016669Z              12 RETURN_VALUE
2022-11-23T01:30:20.5016675Z 
2022-11-23T01:30:20.5016723Z  
2022-11-23T01:30:20.5017047Z [2022-11-23 01:27:57,354] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5017152Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_396)
2022-11-23T01:30:20.5017242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5017333Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5017409Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5017495Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5017648Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5017739Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5017827Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5017900Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5017998Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5018084Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5018157Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5018243Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.5018304Z              26 RETURN_VALUE
2022-11-23T01:30:20.5018309Z 
2022-11-23T01:30:20.5018369Z  
2022-11-23T01:30:20.5018549Z [2022-11-23 01:27:57,355] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5018653Z  - 
2022-11-23T01:30:20.5018770Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5018833Z             {
2022-11-23T01:30:20.5018976Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5019151Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5019268Z                 'obj_weakref': None
2022-11-23T01:30:20.5019488Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5019551Z             }
2022-11-23T01:30:20.5019613Z             
2022-11-23T01:30:20.5019680Z  - 
2022-11-23T01:30:20.5019799Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:20.5019850Z             {
2022-11-23T01:30:20.5019987Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.5020155Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:20.5020362Z                 'obj_weakref': <weakref at 0x7ff58f9b06d0; to 'Tensor' at 0x7ff58ff3a7f0>
2022-11-23T01:30:20.5020614Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5020678Z             }
2022-11-23T01:30:20.5020739Z             
2022-11-23T01:30:20.5020794Z  - 
2022-11-23T01:30:20.5020915Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5020977Z             {
2022-11-23T01:30:20.5021118Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5021225Z                 'code': None,
2022-11-23T01:30:20.5021433Z                 'obj_weakref': <weakref at 0x7ff58f9b06d0; to 'Tensor' at 0x7ff58ff3a7f0>
2022-11-23T01:30:20.5021683Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5021744Z             }
2022-11-23T01:30:20.5021794Z             
2022-11-23T01:30:20.5021863Z  - 
2022-11-23T01:30:20.5021995Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5022056Z             {
2022-11-23T01:30:20.5022191Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5022357Z                 'code': ['___check_obj_id(model, 140693063925568)'],
2022-11-23T01:30:20.5022463Z                 'obj_weakref': None
2022-11-23T01:30:20.5022690Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5022751Z             }
2022-11-23T01:30:20.5022812Z             
2022-11-23T01:30:20.5022879Z  - 
2022-11-23T01:30:20.5022996Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5023057Z             {
2022-11-23T01:30:20.5023180Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5023394Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5023515Z                 'obj_weakref': None
2022-11-23T01:30:20.5023734Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5023801Z             }
2022-11-23T01:30:20.5023863Z             
2022-11-23T01:30:20.5023933Z  - 
2022-11-23T01:30:20.5024054Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5024116Z             {
2022-11-23T01:30:20.5024263Z                 'guard_types': None,
2022-11-23T01:30:20.5024370Z                 'code': None,
2022-11-23T01:30:20.5024488Z                 'obj_weakref': None
2022-11-23T01:30:20.5024607Z                 'guarded_class': None
2022-11-23T01:30:20.5024669Z             }
2022-11-23T01:30:20.5024719Z             
2022-11-23T01:30:20.5024978Z [2022-11-23 01:27:57,364] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 388
2022-11-23T01:30:20.5025350Z [2022-11-23 01:27:58,920] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sp/cspee3enjegfdcnugvpsywoayslcmgyamwj2jfj6h6c42nsshtzu.py
2022-11-23T01:30:20.5025611Z [2022-11-23 01:27:58,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 388
2022-11-23T01:30:20.5025643Z 
2022-11-23T01:30:20.5025737Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5025805Z import torch
2022-11-23T01:30:20.5025875Z import random
2022-11-23T01:30:20.5025991Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5026100Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5026105Z 
2022-11-23T01:30:20.5026184Z aten = torch.ops.aten
2022-11-23T01:30:20.5026320Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5026413Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5026418Z 
2022-11-23T01:30:20.5026422Z 
2022-11-23T01:30:20.5026554Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5026758Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5026876Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5026975Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5027059Z                        long* __restrict__ out_ptr1)
2022-11-23T01:30:20.5027122Z {
2022-11-23T01:30:20.5027221Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5027283Z     {
2022-11-23T01:30:20.5027361Z         #pragma omp for 
2022-11-23T01:30:20.5027446Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.5027509Z         {
2022-11-23T01:30:20.5027559Z             {
2022-11-23T01:30:20.5027624Z                 {
2022-11-23T01:30:20.5027715Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T01:30:20.5027818Z                     auto tmp0 = static_cast<long>(1);
2022-11-23T01:30:20.5027923Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.5028016Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.5028100Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.5028152Z                 }
2022-11-23T01:30:20.5028215Z             }
2022-11-23T01:30:20.5028277Z         }
2022-11-23T01:30:20.5028358Z         #pragma omp single
2022-11-23T01:30:20.5028423Z         {
2022-11-23T01:30:20.5028486Z             {
2022-11-23T01:30:20.5028537Z                 {
2022-11-23T01:30:20.5028638Z                     auto tmp0 = static_cast<long>(5);
2022-11-23T01:30:20.5028721Z                     out_ptr1[0] = tmp0;
2022-11-23T01:30:20.5028785Z                 }
2022-11-23T01:30:20.5028848Z             }
2022-11-23T01:30:20.5028907Z         }
2022-11-23T01:30:20.5028969Z     }
2022-11-23T01:30:20.5029016Z }
2022-11-23T01:30:20.5029092Z ''')
2022-11-23T01:30:20.5029097Z 
2022-11-23T01:30:20.5029102Z 
2022-11-23T01:30:20.5029192Z async_compile.wait(globals())
2022-11-23T01:30:20.5029264Z del async_compile
2022-11-23T01:30:20.5029268Z 
2022-11-23T01:30:20.5029338Z def call(args):
2022-11-23T01:30:20.5029405Z     arg0_1, = args
2022-11-23T01:30:20.5029473Z     args.clear()
2022-11-23T01:30:20.5029652Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5029829Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5029995Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.5030065Z     del arg0_1
2022-11-23T01:30:20.5030171Z     return (buf0, buf1, )
2022-11-23T01:30:20.5030177Z 
2022-11-23T01:30:20.5030181Z 
2022-11-23T01:30:20.5030257Z if __name__ == "__main__":
2022-11-23T01:30:20.5030369Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5030491Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5030672Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5030780Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5030785Z 
2022-11-23T01:30:20.5030849Z ok (1.596s)
2022-11-23T01:30:20.5031150Z   test_tensor2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:58,938] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5031470Z [2022-11-23 01:27:58,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5031711Z [2022-11-23 01:27:58,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5031964Z [2022-11-23 01:27:58,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5032238Z [2022-11-23 01:27:58,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5032552Z [2022-11-23 01:27:58,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5032894Z [2022-11-23 01:27:58,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5033200Z [2022-11-23 01:27:58,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5033573Z [2022-11-23 01:27:58,939] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922> 
2022-11-23T01:30:20.5033668Z  923           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5033756Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:20.5033918Z               4 LOAD_GLOBAL              2 (list)
2022-11-23T01:30:20.5034012Z               6 LOAD_GLOBAL              3 (range)
2022-11-23T01:30:20.5034099Z               8 LOAD_CONST               1 (2)
2022-11-23T01:30:20.5034187Z              10 LOAD_CONST               2 (40)
2022-11-23T01:30:20.5034261Z              12 LOAD_CONST               1 (2)
2022-11-23T01:30:20.5034352Z              14 CALL_FUNCTION            3
2022-11-23T01:30:20.5034439Z              16 CALL_FUNCTION            1
2022-11-23T01:30:20.5034526Z              18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5034619Z              20 LOAD_ATTR                4 (device)
2022-11-23T01:30:20.5039453Z              22 LOAD_CONST               3 (('device',))
2022-11-23T01:30:20.5039568Z              24 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5039661Z              26 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5039723Z              28 BINARY_ADD
2022-11-23T01:30:20.5039800Z              30 RETURN_VALUE
2022-11-23T01:30:20.5039858Z  
2022-11-23T01:30:20.5039864Z 
2022-11-23T01:30:20.5040212Z [2022-11-23 01:27:58,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:923
2022-11-23T01:30:20.5040436Z [2022-11-23 01:27:58,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5040810Z [2022-11-23 01:27:58,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5041144Z [2022-11-23 01:27:58,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5041573Z [2022-11-23 01:27:58,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), BuiltinVariable(list)]
2022-11-23T01:30:20.5041971Z [2022-11-23 01:27:58,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T01:30:20.5042402Z [2022-11-23 01:27:58,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:30:20.5042861Z [2022-11-23 01:27:58,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5043401Z [2022-11-23 01:27:58,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5043788Z [2022-11-23 01:27:58,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), BuiltinVariable(list), RangeVariable()]
2022-11-23T01:30:20.5044133Z [2022-11-23 01:27:58,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.5044512Z [2022-11-23 01:27:58,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TensorVariable()]
2022-11-23T01:30:20.5044906Z [2022-11-23 01:27:58,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:20.5045337Z [2022-11-23 01:27:58,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.5045572Z [2022-11-23 01:27:58,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:30:20.5045843Z [2022-11-23 01:27:58,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5046088Z [2022-11-23 01:27:58,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.5046468Z [2022-11-23 01:27:58,944] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19b310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 922>
2022-11-23T01:30:20.5046714Z [2022-11-23 01:27:58,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.5046946Z [2022-11-23 01:27:58,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5047184Z [2022-11-23 01:27:58,945] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5047433Z [2022-11-23 01:27:58,948] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5047619Z [2022-11-23 01:27:58,948] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5047754Z  __compiled_fn_397 <eval_with_key>.3196 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5047844Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5048210Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, ([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38],), {'device': device(type='cpu')}
2022-11-23T01:30:20.5048393Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:30:20.5048486Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.5048492Z 
2022-11-23T01:30:20.5048813Z [2022-11-23 01:27:58,949] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5048893Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5048985Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5049073Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5049165Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5049247Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5049389Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5049464Z              12 RETURN_VALUE
2022-11-23T01:30:20.5049469Z 
2022-11-23T01:30:20.5049527Z  
2022-11-23T01:30:20.5049840Z [2022-11-23 01:27:58,949] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5049948Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_397)
2022-11-23T01:30:20.5050038Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5050127Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5050201Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5050285Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5050374Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.5050436Z              12 RETURN_VALUE
2022-11-23T01:30:20.5050441Z 
2022-11-23T01:30:20.5050500Z  
2022-11-23T01:30:20.5050682Z [2022-11-23 01:27:58,950] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5050755Z  - 
2022-11-23T01:30:20.5050874Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5050937Z             {
2022-11-23T01:30:20.5051079Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5051253Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5051374Z                 'obj_weakref': None
2022-11-23T01:30:20.5051598Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5051662Z             }
2022-11-23T01:30:20.5051725Z             
2022-11-23T01:30:20.5051793Z  - 
2022-11-23T01:30:20.5051914Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:20.5051964Z             {
2022-11-23T01:30:20.5052100Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.5052269Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:20.5052484Z                 'obj_weakref': <weakref at 0x7ff58fdf3a10; to 'Tensor' at 0x7ff58f9cb650>
2022-11-23T01:30:20.5052738Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5052800Z             }
2022-11-23T01:30:20.5052865Z             
2022-11-23T01:30:20.5052921Z  - 
2022-11-23T01:30:20.5053043Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5053106Z             {
2022-11-23T01:30:20.5053247Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5053355Z                 'code': None,
2022-11-23T01:30:20.5053565Z                 'obj_weakref': <weakref at 0x7ff58fdf3a10; to 'Tensor' at 0x7ff58f9cb650>
2022-11-23T01:30:20.5053817Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5053879Z             }
2022-11-23T01:30:20.5053929Z             
2022-11-23T01:30:20.5053999Z  - 
2022-11-23T01:30:20.5054128Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5054192Z             {
2022-11-23T01:30:20.5054329Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5054497Z                 'code': ['___check_obj_id(model, 140692653172496)'],
2022-11-23T01:30:20.5054631Z                 'obj_weakref': None
2022-11-23T01:30:20.5054859Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5054920Z             }
2022-11-23T01:30:20.5054982Z             
2022-11-23T01:30:20.5055050Z  - 
2022-11-23T01:30:20.5055170Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5055232Z             {
2022-11-23T01:30:20.5055354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5055565Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5055683Z                 'obj_weakref': None
2022-11-23T01:30:20.5055901Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5055961Z             }
2022-11-23T01:30:20.5056049Z             
2022-11-23T01:30:20.5056117Z  - 
2022-11-23T01:30:20.5056231Z             global 'list' BUILTIN_MATCH
2022-11-23T01:30:20.5056296Z             {
2022-11-23T01:30:20.5056547Z                 'guard_types': None,
2022-11-23T01:30:20.5056655Z                 'code': None,
2022-11-23T01:30:20.5056769Z                 'obj_weakref': None
2022-11-23T01:30:20.5056890Z                 'guarded_class': None
2022-11-23T01:30:20.5056951Z             }
2022-11-23T01:30:20.5057001Z             
2022-11-23T01:30:20.5057071Z  - 
2022-11-23T01:30:20.5057200Z             global 'range' BUILTIN_MATCH
2022-11-23T01:30:20.5057261Z             {
2022-11-23T01:30:20.5057379Z                 'guard_types': None,
2022-11-23T01:30:20.5057486Z                 'code': None,
2022-11-23T01:30:20.5057605Z                 'obj_weakref': None
2022-11-23T01:30:20.5057713Z                 'guarded_class': None
2022-11-23T01:30:20.5057774Z             }
2022-11-23T01:30:20.5057837Z             
2022-11-23T01:30:20.5057908Z  - 
2022-11-23T01:30:20.5058040Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5058102Z             {
2022-11-23T01:30:20.5058206Z                 'guard_types': None,
2022-11-23T01:30:20.5058314Z                 'code': None,
2022-11-23T01:30:20.5058429Z                 'obj_weakref': None
2022-11-23T01:30:20.5058547Z                 'guarded_class': None
2022-11-23T01:30:20.5058609Z             }
2022-11-23T01:30:20.5058672Z             
2022-11-23T01:30:20.5058931Z [2022-11-23 01:27:58,955] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 389
2022-11-23T01:30:20.5059285Z [2022-11-23 01:28:00,533] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5br733ol2qxhoxrfrsnofu7tfptuqhy3yohnbpisz26sc2gxiwj.py
2022-11-23T01:30:20.5059549Z [2022-11-23 01:28:00,533] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 389
2022-11-23T01:30:20.5059556Z 
2022-11-23T01:30:20.5059650Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5059719Z import torch
2022-11-23T01:30:20.5059788Z import random
2022-11-23T01:30:20.5059902Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5060025Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5060030Z 
2022-11-23T01:30:20.5060107Z aten = torch.ops.aten
2022-11-23T01:30:20.5060229Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5060322Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5060483Z constant0 = None  # 4ebd4ff1c68a89413a036eaaf84436373c4ec2939ac1d7f84e9908772a109281
2022-11-23T01:30:20.5060488Z 
2022-11-23T01:30:20.5060493Z 
2022-11-23T01:30:20.5060623Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5060827Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5060944Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.5061048Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.5061148Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.5061197Z {
2022-11-23T01:30:20.5061293Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5061420Z     {
2022-11-23T01:30:20.5061499Z         #pragma omp for 
2022-11-23T01:30:20.5061581Z         for(long i0=0; i0<19; i0+=1)
2022-11-23T01:30:20.5061645Z         {
2022-11-23T01:30:20.5061708Z             {
2022-11-23T01:30:20.5061760Z                 {
2022-11-23T01:30:20.5061851Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.5061939Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:30:20.5062044Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.5062134Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.5062216Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.5062280Z                 }
2022-11-23T01:30:20.5062330Z             }
2022-11-23T01:30:20.5062392Z         }
2022-11-23T01:30:20.5062455Z     }
2022-11-23T01:30:20.5062546Z }
2022-11-23T01:30:20.5062626Z ''')
2022-11-23T01:30:20.5062631Z 
2022-11-23T01:30:20.5062635Z 
2022-11-23T01:30:20.5062726Z async_compile.wait(globals())
2022-11-23T01:30:20.5062798Z del async_compile
2022-11-23T01:30:20.5062803Z 
2022-11-23T01:30:20.5062860Z def call(args):
2022-11-23T01:30:20.5062930Z     arg0_1, = args
2022-11-23T01:30:20.5062999Z     args.clear()
2022-11-23T01:30:20.5063196Z     buf0 = empty_strided((19, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5063367Z     kernel_cpp_0(c_void_p(constant0.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.5063434Z     del arg0_1
2022-11-23T01:30:20.5063504Z     return (buf0, )
2022-11-23T01:30:20.5063508Z 
2022-11-23T01:30:20.5063512Z 
2022-11-23T01:30:20.5063588Z if __name__ == "__main__":
2022-11-23T01:30:20.5063688Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5063807Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5064006Z     constant0 = rand_strided((19, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5064198Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5064306Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5064311Z 
2022-11-23T01:30:20.5064378Z ok (1.604s)
2022-11-23T01:30:20.5064679Z   test_tensor3_cpu (__main__.CpuTests) ... [2022-11-23 01:28:00,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5064991Z [2022-11-23 01:28:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5065194Z [2022-11-23 01:28:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5065443Z [2022-11-23 01:28:00,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5065719Z [2022-11-23 01:28:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5066043Z [2022-11-23 01:28:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5066389Z [2022-11-23 01:28:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5066708Z [2022-11-23 01:28:00,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5067080Z [2022-11-23 01:28:00,539] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928> 
2022-11-23T01:30:20.5067174Z  930           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5067266Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:20.5067361Z               4 BUILD_LIST               0
2022-11-23T01:30:20.5067439Z               6 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5067561Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.5067712Z              10 LOAD_CONST               1 (('device',))
2022-11-23T01:30:20.5067802Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5067808Z 
2022-11-23T01:30:20.5067898Z 931          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5067984Z              16 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:20.5068070Z              18 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5068145Z              20 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5068232Z              22 BUILD_LIST               2
2022-11-23T01:30:20.5068316Z              24 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5068409Z              26 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.5068556Z              28 LOAD_CONST               1 (('device',))
2022-11-23T01:30:20.5068671Z              30 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5068758Z              32 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5068821Z              34 BINARY_ADD
2022-11-23T01:30:20.5068838Z 
2022-11-23T01:30:20.5068918Z 932          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5069010Z              38 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:20.5069092Z              40 BUILD_LIST               0
2022-11-23T01:30:20.5069184Z              42 LOAD_CONST               4 ((1, 2, 3))
2022-11-23T01:30:20.5069268Z              44 LIST_EXTEND              1
2022-11-23T01:30:20.5069354Z              46 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5069441Z              48 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.5069576Z              50 LOAD_CONST               1 (('device',))
2022-11-23T01:30:20.5069665Z              52 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5069753Z              54 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5069827Z              56 BINARY_ADD
2022-11-23T01:30:20.5069834Z 
2022-11-23T01:30:20.5069924Z 933          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5070013Z              60 LOAD_ATTR                1 (tensor)
2022-11-23T01:30:20.5070098Z              62 BUILD_LIST               0
2022-11-23T01:30:20.5070180Z              64 LOAD_CONST               5 ((1, 2, 3, 4))
2022-11-23T01:30:20.5070263Z              66 LIST_EXTEND              1
2022-11-23T01:30:20.5070350Z              68 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5070437Z              70 LOAD_ATTR                2 (device)
2022-11-23T01:30:20.5070583Z              72 LOAD_CONST               1 (('device',))
2022-11-23T01:30:20.5070668Z              74 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5070754Z              76 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5070813Z              78 BINARY_ADD
2022-11-23T01:30:20.5070829Z 
2022-11-23T01:30:20.5070902Z 929          80 BUILD_TUPLE              4
2022-11-23T01:30:20.5070980Z              82 RETURN_VALUE
2022-11-23T01:30:20.5071041Z  
2022-11-23T01:30:20.5071046Z 
2022-11-23T01:30:20.5071363Z [2022-11-23 01:28:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:930
2022-11-23T01:30:20.5071582Z [2022-11-23 01:28:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5071945Z [2022-11-23 01:28:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5072271Z [2022-11-23 01:28:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5072616Z [2022-11-23 01:28:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.5073026Z [2022-11-23 01:28:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TensorVariable()]
2022-11-23T01:30:20.5073420Z [2022-11-23 01:28:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:20.5073918Z [2022-11-23 01:28:00,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.5074237Z [2022-11-23 01:28:00,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:931
2022-11-23T01:30:20.5074483Z [2022-11-23 01:28:00,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.5074912Z [2022-11-23 01:28:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5075260Z [2022-11-23 01:28:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5075651Z [2022-11-23 01:28:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:20.5076078Z [2022-11-23 01:28:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5076446Z [2022-11-23 01:28:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.5076861Z [2022-11-23 01:28:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TensorVariable()]
2022-11-23T01:30:20.5077280Z [2022-11-23 01:28:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:20.5077739Z [2022-11-23 01:28:00,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.5078001Z [2022-11-23 01:28:00,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5078314Z [2022-11-23 01:28:00,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5078624Z [2022-11-23 01:28:00,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:932
2022-11-23T01:30:20.5078885Z [2022-11-23 01:28:00,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5079309Z [2022-11-23 01:28:00,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5079688Z [2022-11-23 01:28:00,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5080127Z [2022-11-23 01:28:00,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.5080579Z [2022-11-23 01:28:00,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5080978Z [2022-11-23 01:28:00,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.5081411Z [2022-11-23 01:28:00,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TensorVariable()]
2022-11-23T01:30:20.5081887Z [2022-11-23 01:28:00,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:20.5082374Z [2022-11-23 01:28:00,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.5082665Z [2022-11-23 01:28:00,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5083003Z [2022-11-23 01:28:00,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5083315Z [2022-11-23 01:28:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:933
2022-11-23T01:30:20.5083620Z [2022-11-23 01:28:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5084077Z [2022-11-23 01:28:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5084481Z [2022-11-23 01:28:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5084913Z [2022-11-23 01:28:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2, 3, 4) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.5085389Z [2022-11-23 01:28:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5085817Z [2022-11-23 01:28:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable()]
2022-11-23T01:30:20.5086281Z [2022-11-23 01:28:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TensorVariable()]
2022-11-23T01:30:20.5086756Z [2022-11-23 01:28:00,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:30:20.5087298Z [2022-11-23 01:28:00,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7ff5d7c59c60>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.5087619Z [2022-11-23 01:28:00,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5087971Z [2022-11-23 01:28:00,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5088284Z [2022-11-23 01:28:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:929
2022-11-23T01:30:20.5088635Z [2022-11-23 01:28:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5088884Z [2022-11-23 01:28:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5089265Z [2022-11-23 01:28:00,558] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19b470, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 928>
2022-11-23T01:30:20.5089511Z [2022-11-23 01:28:00,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5089743Z [2022-11-23 01:28:00,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5089996Z [2022-11-23 01:28:00,560] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5090232Z [2022-11-23 01:28:00,565] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5090424Z [2022-11-23 01:28:00,566] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5090560Z  __compiled_fn_398 <eval_with_key>.3202 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5090649Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5090918Z call_function, tensor, <built-in method tensor of type object at 0x7ff5d7c59c60>, ([],), {'device': device(type='cpu')}
2022-11-23T01:30:20.5091190Z call_function, tensor_1, <built-in method tensor of type object at 0x7ff5d7c59c60>, ([1, 2],), {'device': device(type='cpu')}
2022-11-23T01:30:20.5091367Z call_function, add, <built-in function add>, (tensor_1, 1), {}
2022-11-23T01:30:20.5091647Z call_function, tensor_2, <built-in method tensor of type object at 0x7ff5d7c59c60>, ([1, 2, 3],), {'device': device(type='cpu')}
2022-11-23T01:30:20.5091813Z call_function, add_1, <built-in function add>, (tensor_2, 2), {}
2022-11-23T01:30:20.5092091Z call_function, tensor_3, <built-in method tensor of type object at 0x7ff5d7c59c60>, ([1, 2, 3, 4],), {'device': device(type='cpu')}
2022-11-23T01:30:20.5092280Z call_function, add_2, <built-in function add>, (tensor_3, ex_0_), {}
2022-11-23T01:30:20.5092397Z output, output, output, ((tensor, add, add_1, add_2),), {}
2022-11-23T01:30:20.5092403Z 
2022-11-23T01:30:20.5092728Z [2022-11-23 01:28:00,566] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5092820Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5092921Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5093044Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5093157Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5093254Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5093342Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5093417Z              12 RETURN_VALUE
2022-11-23T01:30:20.5093425Z 
2022-11-23T01:30:20.5093486Z  
2022-11-23T01:30:20.5093843Z [2022-11-23 01:28:00,566] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5093950Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_398)
2022-11-23T01:30:20.5094039Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5094115Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5094192Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5094279Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5094382Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5094484Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5094570Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5094645Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5094732Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5094849Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5094924Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5095024Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5095112Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5095187Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5095284Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5095359Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5095433Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5095516Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.5095589Z              38 RETURN_VALUE
2022-11-23T01:30:20.5095594Z 
2022-11-23T01:30:20.5095655Z  
2022-11-23T01:30:20.5095839Z [2022-11-23 01:28:00,567] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5095908Z  - 
2022-11-23T01:30:20.5096025Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5096077Z             {
2022-11-23T01:30:20.5096224Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5096529Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5096654Z                 'obj_weakref': None
2022-11-23T01:30:20.5096880Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5096944Z             }
2022-11-23T01:30:20.5097006Z             
2022-11-23T01:30:20.5097062Z  - 
2022-11-23T01:30:20.5097184Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:20.5097248Z             {
2022-11-23T01:30:20.5097386Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.5097555Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:20.5097769Z                 'obj_weakref': <weakref at 0x7ff58ff39170; to 'Tensor' at 0x7ff5a819e700>
2022-11-23T01:30:20.5098024Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5098077Z             }
2022-11-23T01:30:20.5098141Z             
2022-11-23T01:30:20.5098210Z  - 
2022-11-23T01:30:20.5098335Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5098399Z             {
2022-11-23T01:30:20.5098543Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5098650Z                 'code': None,
2022-11-23T01:30:20.5098848Z                 'obj_weakref': <weakref at 0x7ff58ff39170; to 'Tensor' at 0x7ff5a819e700>
2022-11-23T01:30:20.5099101Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5099165Z             }
2022-11-23T01:30:20.5099227Z             
2022-11-23T01:30:20.5099297Z  - 
2022-11-23T01:30:20.5099427Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5099490Z             {
2022-11-23T01:30:20.5099610Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5099776Z                 'code': ['___check_obj_id(model, 140693063913760)'],
2022-11-23T01:30:20.5099895Z                 'obj_weakref': None
2022-11-23T01:30:20.5100169Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5100234Z             }
2022-11-23T01:30:20.5100295Z             
2022-11-23T01:30:20.5100364Z  - 
2022-11-23T01:30:20.5100473Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5100534Z             {
2022-11-23T01:30:20.5100667Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5100882Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5100999Z                 'obj_weakref': None
2022-11-23T01:30:20.5101218Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5101280Z             }
2022-11-23T01:30:20.5101329Z             
2022-11-23T01:30:20.5101397Z  - 
2022-11-23T01:30:20.5101530Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5101628Z             {
2022-11-23T01:30:20.5101748Z                 'guard_types': None,
2022-11-23T01:30:20.5101856Z                 'code': None,
2022-11-23T01:30:20.5101976Z                 'obj_weakref': None
2022-11-23T01:30:20.5102085Z                 'guarded_class': None
2022-11-23T01:30:20.5102148Z             }
2022-11-23T01:30:20.5102207Z             
2022-11-23T01:30:20.5102466Z [2022-11-23 01:28:00,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 390
2022-11-23T01:30:20.5102834Z [2022-11-23 01:28:02,110] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vs/cvscoq5zhewqw5onfv2hbqw6vqtazluo5nncmnc74knomrbyfibg.py
2022-11-23T01:30:20.5103097Z [2022-11-23 01:28:02,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 390
2022-11-23T01:30:20.5103103Z 
2022-11-23T01:30:20.5103197Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5103254Z import torch
2022-11-23T01:30:20.5103322Z import random
2022-11-23T01:30:20.5103439Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5103560Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5103567Z 
2022-11-23T01:30:20.5103644Z aten = torch.ops.aten
2022-11-23T01:30:20.5103778Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5103870Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5103875Z 
2022-11-23T01:30:20.5103879Z 
2022-11-23T01:30:20.5104013Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5104204Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5104322Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5104415Z                        long* __restrict__ out_ptr0,
2022-11-23T01:30:20.5104509Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:20.5104606Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.5104666Z {
2022-11-23T01:30:20.5104743Z     #pragma GCC ivdep
2022-11-23T01:30:20.5104810Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.5104869Z     {
2022-11-23T01:30:20.5104932Z         {
2022-11-23T01:30:20.5104997Z             {
2022-11-23T01:30:20.5105098Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T01:30:20.5105197Z                 auto tmp1 = static_cast<long>(1);
2022-11-23T01:30:20.5105283Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:20.5105365Z                 auto tmp3 = static_cast<long>(2);
2022-11-23T01:30:20.5105460Z                 auto tmp4 = tmp2 ? tmp1 : tmp3;
2022-11-23T01:30:20.5105547Z                 auto tmp5 = tmp4 + tmp1;
2022-11-23T01:30:20.5105629Z                 out_ptr0[i0] = tmp5;
2022-11-23T01:30:20.5105690Z             }
2022-11-23T01:30:20.5105750Z         }
2022-11-23T01:30:20.5105810Z     }
2022-11-23T01:30:20.5105873Z     #pragma GCC ivdep
2022-11-23T01:30:20.5105951Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:30:20.5106009Z     {
2022-11-23T01:30:20.5106072Z         {
2022-11-23T01:30:20.5106134Z             {
2022-11-23T01:30:20.5106231Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T01:30:20.5106364Z                 auto tmp1 = static_cast<long>(1);
2022-11-23T01:30:20.5106438Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:20.5106533Z                 auto tmp3 = static_cast<long>(2);
2022-11-23T01:30:20.5106619Z                 auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:20.5106712Z                 auto tmp5 = static_cast<long>(3);
2022-11-23T01:30:20.5106806Z                 auto tmp6 = tmp4 ? tmp3 : tmp5;
2022-11-23T01:30:20.5106900Z                 auto tmp7 = tmp2 ? tmp1 : tmp6;
2022-11-23T01:30:20.5106986Z                 auto tmp8 = tmp7 + tmp3;
2022-11-23T01:30:20.5107054Z                 out_ptr1[i0] = tmp8;
2022-11-23T01:30:20.5107116Z             }
2022-11-23T01:30:20.5107176Z         }
2022-11-23T01:30:20.5107236Z     }
2022-11-23T01:30:20.5107334Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5107425Z     {
2022-11-23T01:30:20.5107489Z         #pragma omp for 
2022-11-23T01:30:20.5107570Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.5107633Z         {
2022-11-23T01:30:20.5107695Z             {
2022-11-23T01:30:20.5107759Z                 {
2022-11-23T01:30:20.5107852Z                     auto tmp12 = in_ptr0[i0];
2022-11-23T01:30:20.5107956Z                     auto tmp0 = static_cast<long>(i0);
2022-11-23T01:30:20.5108044Z                     auto tmp1 = static_cast<long>(2);
2022-11-23T01:30:20.5108135Z                     auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:20.5108233Z                     auto tmp3 = static_cast<long>(1);
2022-11-23T01:30:20.5108322Z                     auto tmp4 = tmp0 < tmp3;
2022-11-23T01:30:20.5108422Z                     auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:30:20.5108520Z                     auto tmp6 = static_cast<long>(3);
2022-11-23T01:30:20.5108607Z                     auto tmp7 = tmp0 < tmp6;
2022-11-23T01:30:20.5108693Z                     auto tmp8 = static_cast<long>(4);
2022-11-23T01:30:20.5108789Z                     auto tmp9 = tmp7 ? tmp6 : tmp8;
2022-11-23T01:30:20.5108886Z                     auto tmp10 = tmp2 ? tmp5 : tmp9;
2022-11-23T01:30:20.5108993Z                     auto tmp11 = static_cast<float>(tmp10);
2022-11-23T01:30:20.5109086Z                     auto tmp13 = tmp11 + tmp12;
2022-11-23T01:30:20.5109172Z                     out_ptr2[i0] = tmp13;
2022-11-23T01:30:20.5109236Z                 }
2022-11-23T01:30:20.5109298Z             }
2022-11-23T01:30:20.5109347Z         }
2022-11-23T01:30:20.5109407Z     }
2022-11-23T01:30:20.5109466Z }
2022-11-23T01:30:20.5109542Z ''')
2022-11-23T01:30:20.5109548Z 
2022-11-23T01:30:20.5109552Z 
2022-11-23T01:30:20.5109639Z async_compile.wait(globals())
2022-11-23T01:30:20.5109710Z del async_compile
2022-11-23T01:30:20.5109715Z 
2022-11-23T01:30:20.5109785Z def call(args):
2022-11-23T01:30:20.5109842Z     arg0_1, = args
2022-11-23T01:30:20.5109913Z     args.clear()
2022-11-23T01:30:20.5110106Z     buf0 = empty_strided((0, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5110294Z     buf1 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5110481Z     buf2 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5110672Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5110859Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.5110914Z     del arg0_1
2022-11-23T01:30:20.5111002Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:30:20.5111007Z 
2022-11-23T01:30:20.5111011Z 
2022-11-23T01:30:20.5111089Z if __name__ == "__main__":
2022-11-23T01:30:20.5111202Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5111322Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5111515Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5111624Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5111628Z 
2022-11-23T01:30:20.5111695Z ok (1.577s)
2022-11-23T01:30:20.5112039Z   test_tmp_not_defined_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:02,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5112361Z [2022-11-23 01:28:02,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5112577Z [2022-11-23 01:28:02,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5112831Z [2022-11-23 01:28:02,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5113108Z [2022-11-23 01:28:02,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5113429Z [2022-11-23 01:28:02,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5113927Z [2022-11-23 01:28:02,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5114255Z [2022-11-23 01:28:02,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5114637Z [2022-11-23 01:28:02,152] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d0b00e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382> 
2022-11-23T01:30:20.5114733Z  4390           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5114826Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5114908Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:30:20.5114996Z                6 LOAD_ATTR                3 (var)
2022-11-23T01:30:20.5115092Z                8 LOAD_ATTR                4 (default)
2022-11-23T01:30:20.5115098Z 
2022-11-23T01:30:20.5115216Z 4391          10 LOAD_FAST                3 (convert_element_type_default)
2022-11-23T01:30:20.5115302Z               12 LOAD_CONST               1 (2)
2022-11-23T01:30:20.5115391Z               14 BUILD_LIST               1
2022-11-23T01:30:20.5115481Z               16 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5115486Z 
2022-11-23T01:30:20.5115648Z 4390          18 LOAD_CONST               3 (('correction',))
2022-11-23T01:30:20.5115728Z               20 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.5115826Z               22 STORE_FAST               6 (var_default)
2022-11-23T01:30:20.5115831Z 
2022-11-23T01:30:20.5115925Z 4393          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5116013Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5116105Z               28 LOAD_ATTR                5 (aten)
2022-11-23T01:30:20.5116192Z               30 LOAD_ATTR                6 (sub)
2022-11-23T01:30:20.5116288Z               32 LOAD_METHOD              7 (Tensor)
2022-11-23T01:30:20.5116374Z               34 LOAD_FAST                2 (add_tensor)
2022-11-23T01:30:20.5116472Z               36 LOAD_FAST                4 (div_default)
2022-11-23T01:30:20.5116560Z               38 CALL_METHOD              2
2022-11-23T01:30:20.5116655Z               40 STORE_FAST               7 (sub_tensor)
2022-11-23T01:30:20.5116659Z 
2022-11-23T01:30:20.5116753Z 4394          42 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5116840Z               44 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5116929Z               46 LOAD_ATTR                5 (aten)
2022-11-23T01:30:20.5117016Z               48 LOAD_ATTR                8 (mul)
2022-11-23T01:30:20.5117096Z               50 LOAD_METHOD              7 (Tensor)
2022-11-23T01:30:20.5117190Z               52 LOAD_FAST                7 (sub_tensor)
2022-11-23T01:30:20.5117300Z               54 LOAD_FAST                5 (reciprocal_default)
2022-11-23T01:30:20.5117391Z               56 CALL_METHOD              2
2022-11-23T01:30:20.5117524Z               58 STORE_FAST               8 (mul_tensor_1)
2022-11-23T01:30:20.5117530Z 
2022-11-23T01:30:20.5117625Z 4395          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5117716Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5117804Z               64 LOAD_ATTR                5 (aten)
2022-11-23T01:30:20.5117879Z               66 LOAD_ATTR                8 (mul)
2022-11-23T01:30:20.5117973Z               68 LOAD_METHOD              7 (Tensor)
2022-11-23T01:30:20.5118071Z               70 LOAD_FAST                8 (mul_tensor_1)
2022-11-23T01:30:20.5118167Z               72 LOAD_FAST                0 (primals_3)
2022-11-23T01:30:20.5118254Z               74 CALL_METHOD              2
2022-11-23T01:30:20.5118351Z               76 STORE_FAST               9 (mul_tensor_2)
2022-11-23T01:30:20.5118382Z 
2022-11-23T01:30:20.5118474Z 4396          78 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5118549Z               80 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5118642Z               82 LOAD_ATTR                5 (aten)
2022-11-23T01:30:20.5118730Z               84 LOAD_ATTR                9 (add)
2022-11-23T01:30:20.5118826Z               86 LOAD_METHOD              7 (Tensor)
2022-11-23T01:30:20.5118921Z               88 LOAD_FAST                9 (mul_tensor_2)
2022-11-23T01:30:20.5119018Z               90 LOAD_FAST                1 (primals_4)
2022-11-23T01:30:20.5119105Z               92 CALL_METHOD              2
2022-11-23T01:30:20.5119191Z               94 STORE_FAST              10 (add_tensor_2)
2022-11-23T01:30:20.5119206Z 
2022-11-23T01:30:20.5119284Z 4398          96 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5119373Z               98 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5119460Z              100 LOAD_ATTR                2 (prims)
2022-11-23T01:30:20.5119571Z              102 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:30:20.5119666Z              104 LOAD_METHOD              4 (default)
2022-11-23T01:30:20.5119671Z 
2022-11-23T01:30:20.5119769Z 4399         106 LOAD_FAST               10 (add_tensor_2)
2022-11-23T01:30:20.5119858Z              108 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5119950Z              110 LOAD_ATTR               11 (float32)
2022-11-23T01:30:20.5119955Z 
2022-11-23T01:30:20.5120029Z 4398         112 CALL_METHOD              2
2022-11-23T01:30:20.5120034Z 
2022-11-23T01:30:20.5120159Z 4397         114 STORE_FAST              11 (convert_element_type_default_1)
2022-11-23T01:30:20.5120165Z 
2022-11-23T01:30:20.5120256Z 4403         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5120343Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5120431Z              120 LOAD_ATTR                2 (prims)
2022-11-23T01:30:20.5120539Z              122 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:30:20.5120634Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:30:20.5120639Z 
2022-11-23T01:30:20.5120760Z 4404         126 LOAD_FAST               11 (convert_element_type_default_1)
2022-11-23T01:30:20.5120839Z              128 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5120929Z              130 LOAD_ATTR               11 (float32)
2022-11-23T01:30:20.5120934Z 
2022-11-23T01:30:20.5121021Z 4403         132 CALL_METHOD              2
2022-11-23T01:30:20.5121025Z 
2022-11-23T01:30:20.5121144Z 4402         134 STORE_FAST              12 (convert_element_type_default_2)
2022-11-23T01:30:20.5121149Z 
2022-11-23T01:30:20.5121238Z 4407         136 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5121327Z              138 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5121417Z              140 LOAD_ATTR                2 (prims)
2022-11-23T01:30:20.5121505Z              142 LOAD_ATTR                3 (var)
2022-11-23T01:30:20.5121599Z              144 LOAD_ATTR                4 (default)
2022-11-23T01:30:20.5121604Z 
2022-11-23T01:30:20.5121707Z 4408         146 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:30:20.5121824Z              148 LOAD_CONST               1 (2)
2022-11-23T01:30:20.5121914Z              150 BUILD_LIST               1
2022-11-23T01:30:20.5122003Z              152 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5122007Z 
2022-11-23T01:30:20.5122170Z 4407         154 LOAD_CONST               3 (('correction',))
2022-11-23T01:30:20.5122260Z              156 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.5122361Z              158 STORE_FAST              13 (var_default_1)
2022-11-23T01:30:20.5122365Z 
2022-11-23T01:30:20.5122455Z 4410         160 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5122530Z              162 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5122619Z              164 LOAD_ATTR                2 (prims)
2022-11-23T01:30:20.5122723Z              166 LOAD_ATTR               12 (broadcast_in_dim)
2022-11-23T01:30:20.5122847Z              168 LOAD_METHOD              4 (default)
2022-11-23T01:30:20.5122851Z 
2022-11-23T01:30:20.5122953Z 4411         170 LOAD_FAST               13 (var_default_1)
2022-11-23T01:30:20.5123038Z              172 BUILD_LIST               0
2022-11-23T01:30:20.5123133Z              174 LOAD_CONST               4 ((1, 512, 1))
2022-11-23T01:30:20.5123220Z              176 LIST_EXTEND              1
2022-11-23T01:30:20.5123296Z              178 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5123384Z              180 LOAD_CONST               5 (1)
2022-11-23T01:30:20.5123470Z              182 BUILD_LIST               2
2022-11-23T01:30:20.5123474Z 
2022-11-23T01:30:20.5123559Z 4410         184 CALL_METHOD              3
2022-11-23T01:30:20.5123676Z              186 STORE_FAST              14 (broadcast_in_dim_default_2)
2022-11-23T01:30:20.5123682Z 
2022-11-23T01:30:20.5123772Z 4413         188 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5123862Z              190 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5123940Z              192 LOAD_ATTR                2 (prims)
2022-11-23T01:30:20.5124029Z              194 LOAD_ATTR               13 (sum)
2022-11-23T01:30:20.5124124Z              196 LOAD_METHOD              4 (default)
2022-11-23T01:30:20.5124128Z 
2022-11-23T01:30:20.5124248Z 4414         198 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:30:20.5124336Z              200 LOAD_CONST               1 (2)
2022-11-23T01:30:20.5124420Z              202 BUILD_LIST               1
2022-11-23T01:30:20.5124425Z 
2022-11-23T01:30:20.5124509Z 4413         204 CALL_METHOD              2
2022-11-23T01:30:20.5124609Z              206 STORE_FAST              15 (sum_default_1)
2022-11-23T01:30:20.5124613Z 
2022-11-23T01:30:20.5124703Z 4416         208 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5124779Z              210 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5124869Z              212 LOAD_ATTR                5 (aten)
2022-11-23T01:30:20.5124957Z              214 LOAD_ATTR                9 (add)
2022-11-23T01:30:20.5125054Z              216 LOAD_METHOD              7 (Tensor)
2022-11-23T01:30:20.5125169Z              218 LOAD_FAST               14 (broadcast_in_dim_default_2)
2022-11-23T01:30:20.5125310Z              220 LOAD_CONST               6 (1e-05)
2022-11-23T01:30:20.5125395Z              222 CALL_METHOD              2
2022-11-23T01:30:20.5125482Z              224 STORE_FAST              16 (add_tensor_3)
2022-11-23T01:30:20.5125487Z 
2022-11-23T01:30:20.5125586Z 4417         226 LOAD_FAST                6 (var_default)
2022-11-23T01:30:20.5125689Z              228 LOAD_FAST               15 (sum_default_1)
2022-11-23T01:30:20.5125785Z              230 LOAD_FAST               16 (add_tensor_3)
2022-11-23T01:30:20.5125872Z              232 BUILD_TUPLE              3
2022-11-23T01:30:20.5125950Z              234 RETURN_VALUE
2022-11-23T01:30:20.5126011Z  
2022-11-23T01:30:20.5126018Z 
2022-11-23T01:30:20.5126341Z [2022-11-23 01:28:02,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T01:30:20.5126589Z [2022-11-23 01:28:02,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5126956Z [2022-11-23 01:28:02,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5127250Z [2022-11-23 01:28:02,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5127557Z [2022-11-23 01:28:02,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:30:20.5127816Z [2022-11-23 01:28:02,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:30:20.5128157Z [2022-11-23 01:28:02,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4391
2022-11-23T01:30:20.5128466Z [2022-11-23 01:28:02,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default [TorchVariable(prims.var.default)]
2022-11-23T01:30:20.5128758Z [2022-11-23 01:28:02,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:30:20.5129086Z [2022-11-23 01:28:02,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5129402Z [2022-11-23 01:28:02,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5129711Z [2022-11-23 01:28:02,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4390
2022-11-23T01:30:20.5130078Z [2022-11-23 01:28:02,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5130485Z [2022-11-23 01:28:02,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:20.5130738Z [2022-11-23 01:28:02,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default [TensorVariable()]
2022-11-23T01:30:20.5131050Z [2022-11-23 01:28:02,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4393
2022-11-23T01:30:20.5131264Z [2022-11-23 01:28:02,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5131623Z [2022-11-23 01:28:02,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5131919Z [2022-11-23 01:28:02,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5132216Z [2022-11-23 01:28:02,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5132470Z [2022-11-23 01:28:02,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)]
2022-11-23T01:30:20.5132739Z [2022-11-23 01:28:02,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor [TorchVariable(aten.sub.Tensor)]
2022-11-23T01:30:20.5133040Z [2022-11-23 01:28:02,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_default [TorchVariable(aten.sub.Tensor), TensorVariable()]
2022-11-23T01:30:20.5133349Z [2022-11-23 01:28:02,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5133630Z [2022-11-23 01:28:02,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub_tensor [TensorVariable()]
2022-11-23T01:30:20.5133939Z [2022-11-23 01:28:02,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4394
2022-11-23T01:30:20.5134152Z [2022-11-23 01:28:02,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5134515Z [2022-11-23 01:28:02,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5134803Z [2022-11-23 01:28:02,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5135106Z [2022-11-23 01:28:02,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5135390Z [2022-11-23 01:28:02,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:30:20.5135660Z [2022-11-23 01:28:02,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:30:20.5135974Z [2022-11-23 01:28:02,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST reciprocal_default [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:30:20.5136295Z [2022-11-23 01:28:02,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5136660Z [2022-11-23 01:28:02,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_1 [TensorVariable()]
2022-11-23T01:30:20.5136973Z [2022-11-23 01:28:02,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4395
2022-11-23T01:30:20.5137192Z [2022-11-23 01:28:02,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5137554Z [2022-11-23 01:28:02,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5137845Z [2022-11-23 01:28:02,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5138141Z [2022-11-23 01:28:02,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5138396Z [2022-11-23 01:28:02,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:30:20.5138671Z [2022-11-23 01:28:02,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_1 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:30:20.5138974Z [2022-11-23 01:28:02,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_3 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:30:20.5139299Z [2022-11-23 01:28:02,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5139538Z [2022-11-23 01:28:02,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_2 [TensorVariable()]
2022-11-23T01:30:20.5139848Z [2022-11-23 01:28:02,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4396
2022-11-23T01:30:20.5140063Z [2022-11-23 01:28:02,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5140423Z [2022-11-23 01:28:02,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5140716Z [2022-11-23 01:28:02,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5141061Z [2022-11-23 01:28:02,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5141316Z [2022-11-23 01:28:02,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:30:20.5141585Z [2022-11-23 01:28:02,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:30:20.5141886Z [2022-11-23 01:28:02,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_4 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:30:20.5142209Z [2022-11-23 01:28:02,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5142493Z [2022-11-23 01:28:02,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_2 [TensorVariable()]
2022-11-23T01:30:20.5142793Z [2022-11-23 01:28:02,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T01:30:20.5143013Z [2022-11-23 01:28:02,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5143373Z [2022-11-23 01:28:02,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5143665Z [2022-11-23 01:28:02,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5143994Z [2022-11-23 01:28:02,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:30:20.5144282Z [2022-11-23 01:28:02,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:30:20.5144595Z [2022-11-23 01:28:02,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4399
2022-11-23T01:30:20.5144898Z [2022-11-23 01:28:02,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_2 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:30:20.5145226Z [2022-11-23 01:28:02,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:30:20.5145708Z [2022-11-23 01:28:02,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5146021Z [2022-11-23 01:28:02,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4398
2022-11-23T01:30:20.5146374Z [2022-11-23 01:28:02,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:30:20.5146682Z [2022-11-23 01:28:02,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4397
2022-11-23T01:30:20.5146965Z [2022-11-23 01:28:02,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_1 [TensorVariable()]
2022-11-23T01:30:20.5147275Z [2022-11-23 01:28:02,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T01:30:20.5147493Z [2022-11-23 01:28:02,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5147852Z [2022-11-23 01:28:02,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5148212Z [2022-11-23 01:28:02,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5148541Z [2022-11-23 01:28:02,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:30:20.5148824Z [2022-11-23 01:28:02,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:30:20.5149133Z [2022-11-23 01:28:02,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4404
2022-11-23T01:30:20.5149465Z [2022-11-23 01:28:02,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_1 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:30:20.5149821Z [2022-11-23 01:28:02,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:30:20.5150289Z [2022-11-23 01:28:02,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5150599Z [2022-11-23 01:28:02,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4403
2022-11-23T01:30:20.5150961Z [2022-11-23 01:28:02,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:30:20.5151270Z [2022-11-23 01:28:02,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4402
2022-11-23T01:30:20.5151556Z [2022-11-23 01:28:02,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_2 [TensorVariable()]
2022-11-23T01:30:20.5151863Z [2022-11-23 01:28:02,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T01:30:20.5152079Z [2022-11-23 01:28:02,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5152437Z [2022-11-23 01:28:02,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5152728Z [2022-11-23 01:28:02,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5153030Z [2022-11-23 01:28:02,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:30:20.5153291Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:30:20.5153587Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4408
2022-11-23T01:30:20.5153963Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.var.default)]
2022-11-23T01:30:20.5154260Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:30:20.5154592Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5154907Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5155254Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4407
2022-11-23T01:30:20.5155636Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5156041Z [2022-11-23 01:28:02,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:20.5156298Z [2022-11-23 01:28:02,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default_1 [TensorVariable()]
2022-11-23T01:30:20.5156607Z [2022-11-23 01:28:02,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T01:30:20.5156848Z [2022-11-23 01:28:02,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5157209Z [2022-11-23 01:28:02,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5157490Z [2022-11-23 01:28:02,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5157818Z [2022-11-23 01:28:02,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR broadcast_in_dim [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:30:20.5158097Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.broadcast_in_dim)]
2022-11-23T01:30:20.5158409Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4411
2022-11-23T01:30:20.5158712Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default_1 [TorchVariable(prims.broadcast_in_dim.default)]
2022-11-23T01:30:20.5159024Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable()]
2022-11-23T01:30:20.5159372Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 512, 1) [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5159750Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5160083Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5160458Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5160872Z [2022-11-23 01:28:02,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5161184Z [2022-11-23 01:28:02,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4410
2022-11-23T01:30:20.5161538Z [2022-11-23 01:28:02,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5161813Z [2022-11-23 01:28:02,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST broadcast_in_dim_default_2 [TensorVariable()]
2022-11-23T01:30:20.5162126Z [2022-11-23 01:28:02,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T01:30:20.5162368Z [2022-11-23 01:28:02,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5162730Z [2022-11-23 01:28:02,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5163022Z [2022-11-23 01:28:02,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5163325Z [2022-11-23 01:28:02,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:30:20.5163584Z [2022-11-23 01:28:02,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.sum)]
2022-11-23T01:30:20.5163919Z [2022-11-23 01:28:02,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4414
2022-11-23T01:30:20.5164230Z [2022-11-23 01:28:02,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.sum.default)]
2022-11-23T01:30:20.5164521Z [2022-11-23 01:28:02,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.sum.default), TensorVariable()]
2022-11-23T01:30:20.5164837Z [2022-11-23 01:28:02,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.sum.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5165148Z [2022-11-23 01:28:02,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4413
2022-11-23T01:30:20.5165468Z [2022-11-23 01:28:02,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.sum.default), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5165725Z [2022-11-23 01:28:02,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:30:20.5166035Z [2022-11-23 01:28:02,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4416
2022-11-23T01:30:20.5166249Z [2022-11-23 01:28:02,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5166608Z [2022-11-23 01:28:02,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5166898Z [2022-11-23 01:28:02,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5167194Z [2022-11-23 01:28:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5167457Z [2022-11-23 01:28:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:30:20.5167746Z [2022-11-23 01:28:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST broadcast_in_dim_default_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:30:20.5168039Z [2022-11-23 01:28:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1e-05 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:30:20.5168371Z [2022-11-23 01:28:02,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.5168626Z [2022-11-23 01:28:02,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_3 [TensorVariable()]
2022-11-23T01:30:20.5168932Z [2022-11-23 01:28:02,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4417
2022-11-23T01:30:20.5169156Z [2022-11-23 01:28:02,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default []
2022-11-23T01:30:20.5169437Z [2022-11-23 01:28:02,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:30:20.5169714Z [2022-11-23 01:28:02,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_3 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5170007Z [2022-11-23 01:28:02,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5170249Z [2022-11-23 01:28:02,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5170624Z [2022-11-23 01:28:02,247] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d0b00e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4382>
2022-11-23T01:30:20.5170867Z [2022-11-23 01:28:02,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5171126Z [2022-11-23 01:28:02,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5171378Z [2022-11-23 01:28:02,249] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5171625Z [2022-11-23 01:28:02,261] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5171810Z [2022-11-23 01:28:02,262] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5171943Z  __compiled_fn_399 <eval_with_key>.3208 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5172033Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5172117Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.5172188Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.5172272Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:30:20.5172353Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:30:20.5172437Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:30:20.5172647Z call_function, var_default, prims.var.default, (ex_3_, [2]), {'correction': 0}
2022-11-23T01:30:20.5172773Z call_function, sub_tensor, aten.sub.Tensor, (ex_2_, ex_4_), {}
2022-11-23T01:30:20.5172908Z call_function, mul_tensor, aten.mul.Tensor, (sub_tensor, ex_5_), {}
2022-11-23T01:30:20.5173030Z call_function, mul_tensor_1, aten.mul.Tensor, (mul_tensor, ex_0_), {}
2022-11-23T01:30:20.5173162Z call_function, add_tensor, aten.add.Tensor, (mul_tensor_1, ex_1_), {}
2022-11-23T01:30:20.5173354Z call_function, convert_element_type_default, prims.convert_element_type.default, (add_tensor, torch.float32), {}
2022-11-23T01:30:20.5173566Z call_function, convert_element_type_default_1, prims.convert_element_type.default, (convert_element_type_default, torch.float32), {}
2022-11-23T01:30:20.5173823Z call_function, var_default_1, prims.var.default, (convert_element_type_default_1, [2]), {'correction': 0}
2022-11-23T01:30:20.5174002Z call_function, broadcast_in_dim_default, prims.broadcast_in_dim.default, (var_default_1, [1, 512, 1], [0, 1]), {}
2022-11-23T01:30:20.5174163Z call_function, sum_default, prims.sum.default, (convert_element_type_default_1, [2]), {}
2022-11-23T01:30:20.5174384Z call_function, add_tensor_1, aten.add.Tensor, (broadcast_in_dim_default, 1e-05), {}
2022-11-23T01:30:20.5174520Z output, output, output, ((var_default, sum_default, add_tensor_1),), {}
2022-11-23T01:30:20.5174528Z 
2022-11-23T01:30:20.5174842Z [2022-11-23 01:28:02,262] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5174937Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5175027Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5175118Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5175211Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5175297Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5175388Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5175452Z              12 RETURN_VALUE
2022-11-23T01:30:20.5175471Z 
2022-11-23T01:30:20.5175549Z  
2022-11-23T01:30:20.5175874Z [2022-11-23 01:28:02,263] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5175982Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_399)
2022-11-23T01:30:20.5176073Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5176163Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5176244Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5176334Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5176524Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5176601Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.5176687Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5176818Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5176893Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.5176982Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5177070Z              22 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5177132Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.5177216Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5177301Z              28 LOAD_CONST               5 (4)
2022-11-23T01:30:20.5177377Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.5177463Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5177548Z              34 LOAD_CONST               6 (5)
2022-11-23T01:30:20.5177622Z              36 BINARY_SUBSCR
2022-11-23T01:30:20.5177697Z              38 CALL_FUNCTION            6
2022-11-23T01:30:20.5177802Z              40 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5177903Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5177994Z              44 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5178068Z              46 BINARY_SUBSCR
2022-11-23T01:30:20.5178169Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5178258Z              50 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5178319Z              52 BINARY_SUBSCR
2022-11-23T01:30:20.5178420Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5178508Z              56 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5178582Z              58 BINARY_SUBSCR
2022-11-23T01:30:20.5178666Z              60 BUILD_TUPLE              3
2022-11-23T01:30:20.5178741Z              62 RETURN_VALUE
2022-11-23T01:30:20.5178746Z 
2022-11-23T01:30:20.5178808Z  
2022-11-23T01:30:20.5178991Z [2022-11-23 01:28:02,264] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5179047Z  - 
2022-11-23T01:30:20.5179167Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5179234Z             {
2022-11-23T01:30:20.5179374Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5179565Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 6'],
2022-11-23T01:30:20.5179686Z                 'obj_weakref': None
2022-11-23T01:30:20.5179912Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5179965Z             }
2022-11-23T01:30:20.5180026Z             
2022-11-23T01:30:20.5180095Z  - 
2022-11-23T01:30:20.5180217Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5180279Z             {
2022-11-23T01:30:20.5180419Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5180523Z                 'code': None,
2022-11-23T01:30:20.5180723Z                 'obj_weakref': <weakref at 0x7ff58f9cb6a0; to 'Tensor' at 0x7ff57f912110>
2022-11-23T01:30:20.5180976Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5181038Z             }
2022-11-23T01:30:20.5181103Z             
2022-11-23T01:30:20.5181171Z  - 
2022-11-23T01:30:20.5181292Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.5181352Z             {
2022-11-23T01:30:20.5181517Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5181626Z                 'code': None,
2022-11-23T01:30:20.5181837Z                 'obj_weakref': <weakref at 0x7ff58f9ca7f0; to 'Tensor' at 0x7ff57f913d30>
2022-11-23T01:30:20.5182090Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5182152Z             }
2022-11-23T01:30:20.5182213Z             
2022-11-23T01:30:20.5182280Z  - 
2022-11-23T01:30:20.5182389Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.5182449Z             {
2022-11-23T01:30:20.5182590Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5182694Z                 'code': None,
2022-11-23T01:30:20.5182900Z                 'obj_weakref': <weakref at 0x7ff58f9cb880; to 'Tensor' at 0x7ff57f9136f0>
2022-11-23T01:30:20.5183178Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5183240Z             }
2022-11-23T01:30:20.5183290Z             
2022-11-23T01:30:20.5183356Z  - 
2022-11-23T01:30:20.5183478Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.5183540Z             {
2022-11-23T01:30:20.5183678Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5183783Z                 'code': None,
2022-11-23T01:30:20.5183990Z                 'obj_weakref': <weakref at 0x7ff58f9cb920; to 'Tensor' at 0x7ff59c1edda0>
2022-11-23T01:30:20.5184228Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5184289Z             }
2022-11-23T01:30:20.5184349Z             
2022-11-23T01:30:20.5184418Z  - 
2022-11-23T01:30:20.5184539Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:30:20.5184602Z             {
2022-11-23T01:30:20.5184743Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5184835Z                 'code': None,
2022-11-23T01:30:20.5185043Z                 'obj_weakref': <weakref at 0x7ff58f9b1d00; to 'Tensor' at 0x7ff59c1ef920>
2022-11-23T01:30:20.5185292Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5185355Z             }
2022-11-23T01:30:20.5185416Z             
2022-11-23T01:30:20.5185483Z  - 
2022-11-23T01:30:20.5185604Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:30:20.5185653Z             {
2022-11-23T01:30:20.5185792Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5185897Z                 'code': None,
2022-11-23T01:30:20.5186104Z                 'obj_weakref': <weakref at 0x7ff58f9b1850; to 'Tensor' at 0x7ff59c1ee1b0>
2022-11-23T01:30:20.5186352Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5186415Z             }
2022-11-23T01:30:20.5186476Z             
2022-11-23T01:30:20.5186532Z  - 
2022-11-23T01:30:20.5186659Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5186722Z             {
2022-11-23T01:30:20.5186855Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5187023Z                 'code': ['___check_obj_id(model, 140692652638272)'],
2022-11-23T01:30:20.5187137Z                 'obj_weakref': None
2022-11-23T01:30:20.5187366Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5187416Z             }
2022-11-23T01:30:20.5187477Z             
2022-11-23T01:30:20.5187548Z  - 
2022-11-23T01:30:20.5187669Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5187731Z             {
2022-11-23T01:30:20.5187864Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5188079Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5188186Z                 'obj_weakref': None
2022-11-23T01:30:20.5188431Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5188492Z             }
2022-11-23T01:30:20.5188553Z             
2022-11-23T01:30:20.5188620Z  - 
2022-11-23T01:30:20.5188753Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5188816Z             {
2022-11-23T01:30:20.5188923Z                 'guard_types': None,
2022-11-23T01:30:20.5189025Z                 'code': None,
2022-11-23T01:30:20.5189140Z                 'obj_weakref': None
2022-11-23T01:30:20.5189258Z                 'guarded_class': None
2022-11-23T01:30:20.5189319Z             }
2022-11-23T01:30:20.5189381Z             
2022-11-23T01:30:20.5189437Z  - 
2022-11-23T01:30:20.5189586Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:30:20.5189647Z             {
2022-11-23T01:30:20.5189790Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.5189996Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:30:20.5190111Z                 'obj_weakref': None
2022-11-23T01:30:20.5190338Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:20.5190399Z             }
2022-11-23T01:30:20.5190450Z             
2022-11-23T01:30:20.5190708Z [2022-11-23 01:28:02,282] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 391
2022-11-23T01:30:20.5190714Z 
2022-11-23T01:30:20.5190804Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5190871Z import torch
2022-11-23T01:30:20.5190939Z import random
2022-11-23T01:30:20.5191055Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5191175Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5191180Z 
2022-11-23T01:30:20.5191244Z aten = torch.ops.aten
2022-11-23T01:30:20.5191376Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5191468Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5191473Z 
2022-11-23T01:30:20.5191478Z 
2022-11-23T01:30:20.5191608Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5191814Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5191929Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.5192028Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:20.5192132Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5192222Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.5192319Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.5192419Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:30:20.5192518Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:30:20.5192616Z                        const float* __restrict__ in_ptr5,
2022-11-23T01:30:20.5192715Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5192807Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.5192903Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.5192983Z                        float* __restrict__ out_ptr5)
2022-11-23T01:30:20.5193043Z {
2022-11-23T01:30:20.5193127Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.5193208Z     auto out_ptr4 = in_out_ptr1;
2022-11-23T01:30:20.5193305Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5193366Z     {
2022-11-23T01:30:20.5193430Z         #pragma omp for 
2022-11-23T01:30:20.5193510Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:30:20.5193571Z         {
2022-11-23T01:30:20.5193632Z             {
2022-11-23T01:30:20.5193904Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.5193986Z                 float tmp1 = 0;
2022-11-23T01:30:20.5194106Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.5194198Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:20.5194250Z                 {
2022-11-23T01:30:20.5194446Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T01:30:20.5194528Z                     tmp1_vec += tmp0;
2022-11-23T01:30:20.5194592Z                 }
2022-11-23T01:30:20.5194784Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.5194902Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:20.5194995Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:30:20.5195059Z                 {
2022-11-23T01:30:20.5195145Z                     auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:30:20.5195221Z                     tmp1 += tmp0;
2022-11-23T01:30:20.5195283Z                 }
2022-11-23T01:30:20.5195391Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.5195454Z             }
2022-11-23T01:30:20.5195515Z         }
2022-11-23T01:30:20.5195578Z         #pragma omp for 
2022-11-23T01:30:20.5195660Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:30:20.5195721Z         {
2022-11-23T01:30:20.5195783Z             {
2022-11-23T01:30:20.5195968Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.5196046Z                 float tmp6 = 0;
2022-11-23T01:30:20.5196164Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.5196252Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:20.5196302Z                 {
2022-11-23T01:30:20.5196444Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (1024*i0));
2022-11-23T01:30:20.5196571Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:20.5196710Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:30:20.5196801Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.5196942Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.5197030Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.5197109Z                     tmp6_vec += tmp5;
2022-11-23T01:30:20.5197160Z                 }
2022-11-23T01:30:20.5197354Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.5197471Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6)
2022-11-23T01:30:20.5197562Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:30:20.5197624Z                 {
2022-11-23T01:30:20.5197723Z                     auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:30:20.5197814Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:30:20.5197904Z                     auto tmp2 = static_cast<float>(1024);
2022-11-23T01:30:20.5197995Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.5198128Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.5198216Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.5198292Z                     tmp6 += tmp5;
2022-11-23T01:30:20.5198356Z                 }
2022-11-23T01:30:20.5198436Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:30:20.5198487Z             }
2022-11-23T01:30:20.5198550Z         }
2022-11-23T01:30:20.5198625Z         #pragma omp for 
2022-11-23T01:30:20.5198705Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:30:20.5198765Z         {
2022-11-23T01:30:20.5198828Z             {
2022-11-23T01:30:20.5199009Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.5199075Z                 float tmp9 = 0;
2022-11-23T01:30:20.5199191Z                 auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2022-11-23T01:30:20.5199281Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:20.5199343Z                 {
2022-11-23T01:30:20.5199510Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (1024*i0));
2022-11-23T01:30:20.5199635Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:30:20.5199759Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:30:20.5199892Z                     auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr4 + 8*i1);
2022-11-23T01:30:20.5200021Z                     auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr5 + 8*i1);
2022-11-23T01:30:20.5200143Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.5200230Z                     auto tmp4 = tmp2 * tmp3;
2022-11-23T01:30:20.5200316Z                     auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.5200403Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.5200508Z                     tmp8.store(out_ptr2 + (8*i1) + (1024*i0));
2022-11-23T01:30:20.5200621Z                     tmp9_vec += tmp8;
2022-11-23T01:30:20.5200684Z                 }
2022-11-23T01:30:20.5200869Z                 tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2022-11-23T01:30:20.5200983Z                 #pragma omp simd simdlen(4)  reduction(+:tmp9)
2022-11-23T01:30:20.5201071Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:30:20.5201136Z                 {
2022-11-23T01:30:20.5201234Z                     auto tmp0 = in_ptr1[i1 + (1024*i0)];
2022-11-23T01:30:20.5201321Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:30:20.5201407Z                     auto tmp3 = in_ptr3[i0];
2022-11-23T01:30:20.5201493Z                     auto tmp5 = in_ptr4[i1];
2022-11-23T01:30:20.5201565Z                     auto tmp7 = in_ptr5[i1];
2022-11-23T01:30:20.5201695Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:30:20.5201784Z                     auto tmp4 = tmp2 * tmp3;
2022-11-23T01:30:20.5201869Z                     auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.5201952Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:30:20.5202048Z                     out_ptr2[i1 + (1024*i0)] = tmp8;
2022-11-23T01:30:20.5202124Z                     tmp9 += tmp8;
2022-11-23T01:30:20.5202176Z                 }
2022-11-23T01:30:20.5202254Z                 out_ptr3[i0] = tmp9;
2022-11-23T01:30:20.5202316Z             }
2022-11-23T01:30:20.5202376Z         }
2022-11-23T01:30:20.5202450Z         #pragma omp for 
2022-11-23T01:30:20.5202533Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:30:20.5202582Z         {
2022-11-23T01:30:20.5202643Z             {
2022-11-23T01:30:20.5202829Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.5202906Z                 float tmp6 = 0;
2022-11-23T01:30:20.5203024Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.5203104Z                 float tmp7 = 0;
2022-11-23T01:30:20.5203222Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:20.5203311Z                 for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:20.5203364Z                 {
2022-11-23T01:30:20.5203505Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (8*i1) + (1024*i0));
2022-11-23T01:30:20.5203629Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2022-11-23T01:30:20.5203764Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:30:20.5203852Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.5203985Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.5204072Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.5204150Z                     tmp6_vec += tmp5;
2022-11-23T01:30:20.5204215Z                     tmp7_vec += tmp0;
2022-11-23T01:30:20.5204280Z                 }
2022-11-23T01:30:20.5204480Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.5204698Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:30:20.5204838Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:30:20.5204933Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:30:20.5204999Z                 {
2022-11-23T01:30:20.5205100Z                     auto tmp0 = out_ptr2[i1 + (1024*i0)];
2022-11-23T01:30:20.5205180Z                     auto tmp1 = out_ptr3[i0];
2022-11-23T01:30:20.5205284Z                     auto tmp2 = static_cast<float>(1024);
2022-11-23T01:30:20.5205375Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.5205511Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.5205627Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.5205705Z                     tmp6 += tmp5;
2022-11-23T01:30:20.5205782Z                     tmp7 += tmp0;
2022-11-23T01:30:20.5205836Z                 }
2022-11-23T01:30:20.5205919Z                 out_ptr4[i0] = tmp6;
2022-11-23T01:30:20.5205999Z                 out_ptr5[i0] = tmp7;
2022-11-23T01:30:20.5206063Z             }
2022-11-23T01:30:20.5206125Z         }
2022-11-23T01:30:20.5206203Z         #pragma omp for 
2022-11-23T01:30:20.5206288Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:20.5206337Z         {
2022-11-23T01:30:20.5206471Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:30:20.5206606Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:30:20.5206689Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.5206789Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.5206850Z         }
2022-11-23T01:30:20.5206947Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.5207016Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:30:20.5207079Z         {
2022-11-23T01:30:20.5207166Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:20.5207267Z             auto tmp1 = static_cast<float>(1024);
2022-11-23T01:30:20.5207351Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.5207433Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.5207495Z         }
2022-11-23T01:30:20.5207559Z         #pragma omp for 
2022-11-23T01:30:20.5207639Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:30:20.5207701Z         {
2022-11-23T01:30:20.5207834Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + 8*i0);
2022-11-23T01:30:20.5207966Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:30:20.5208051Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.5208252Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:30:20.5208339Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.5208422Z             tmp4.store(in_out_ptr1 + 8*i0);
2022-11-23T01:30:20.5208484Z         }
2022-11-23T01:30:20.5208580Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.5208663Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:30:20.5208726Z         {
2022-11-23T01:30:20.5208812Z             auto tmp0 = out_ptr4[i0];
2022-11-23T01:30:20.5208912Z             auto tmp1 = static_cast<float>(1024);
2022-11-23T01:30:20.5208981Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.5209132Z             auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:30:20.5209216Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.5209298Z             in_out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.5209361Z         }
2022-11-23T01:30:20.5209424Z     }
2022-11-23T01:30:20.5209472Z }
2022-11-23T01:30:20.5209551Z ''')
2022-11-23T01:30:20.5209557Z 
2022-11-23T01:30:20.5209562Z 
2022-11-23T01:30:20.5209649Z async_compile.wait(globals())
2022-11-23T01:30:20.5209725Z del async_compile
2022-11-23T01:30:20.5209729Z 
2022-11-23T01:30:20.5209801Z def call(args):
2022-11-23T01:30:20.5209930Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
2022-11-23T01:30:20.5210001Z     args.clear()
2022-11-23T01:30:20.5210213Z     buf0 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5210399Z     buf1 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5210612Z     buf2 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5210817Z     buf3 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5211013Z     buf4 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5211205Z     buf5 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5211291Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:30:20.5211436Z     buf7 = as_strided(buf4, (1, 512, 1), (512, 1, 512)); del buf4  # reuse
2022-11-23T01:30:20.5211812Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:30:20.5211880Z     del arg0_1
2022-11-23T01:30:20.5211933Z     del arg1_1
2022-11-23T01:30:20.5211997Z     del arg2_1
2022-11-23T01:30:20.5212061Z     del arg3_1
2022-11-23T01:30:20.5212125Z     del arg4_1
2022-11-23T01:30:20.5212188Z     del arg5_1
2022-11-23T01:30:20.5212268Z     return (buf6, buf5, buf7, )
2022-11-23T01:30:20.5212274Z 
2022-11-23T01:30:20.5212278Z 
2022-11-23T01:30:20.5212352Z if __name__ == "__main__":
2022-11-23T01:30:20.5212453Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5212576Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5212772Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5212967Z     arg1_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5213185Z     arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5213398Z     arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5213599Z     arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5213799Z     arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5213925Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1]))
2022-11-23T01:30:20.5214297Z [2022-11-23 01:28:03,801] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i6/ci6gdfzh2awbjoqy2s4ehxncs3n4cultm2xxtowv2uqtemuj5wz5.py
2022-11-23T01:30:20.5214563Z [2022-11-23 01:28:03,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 391
2022-11-23T01:30:20.5214569Z 
2022-11-23T01:30:20.5214637Z ok (1.694s)
2022-11-23T01:30:20.5214965Z   test_tmp_not_defined_issue2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:03,816] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5215280Z [2022-11-23 01:28:03,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5215495Z [2022-11-23 01:28:03,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5215745Z [2022-11-23 01:28:03,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5216020Z [2022-11-23 01:28:03,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5216338Z [2022-11-23 01:28:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5216843Z [2022-11-23 01:28:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5217166Z [2022-11-23 01:28:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5217549Z [2022-11-23 01:28:03,817] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d0b02f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436> 
2022-11-23T01:30:20.5217644Z  4437           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5217737Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5217827Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:30:20.5217952Z                6 LOAD_ATTR                3 (div)
2022-11-23T01:30:20.5218048Z                8 LOAD_METHOD              4 (Tensor)
2022-11-23T01:30:20.5218148Z               10 LOAD_FAST                2 (getitem_17)
2022-11-23T01:30:20.5218229Z               12 LOAD_FAST                1 (arg81_1)
2022-11-23T01:30:20.5218316Z               14 CALL_METHOD              2
2022-11-23T01:30:20.5218415Z               16 STORE_FAST               4 (div_tensor_7)
2022-11-23T01:30:20.5218420Z 
2022-11-23T01:30:20.5218512Z 4438          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5218599Z               20 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5218689Z               22 LOAD_ATTR                2 (aten)
2022-11-23T01:30:20.5218774Z               24 LOAD_ATTR                5 (mul)
2022-11-23T01:30:20.5218856Z               26 LOAD_METHOD              4 (Tensor)
2022-11-23T01:30:20.5218953Z               28 LOAD_FAST                4 (div_tensor_7)
2022-11-23T01:30:20.5219048Z               30 LOAD_FAST                0 (arg38_1)
2022-11-23T01:30:20.5219134Z               32 CALL_METHOD              2
2022-11-23T01:30:20.5219238Z               34 STORE_FAST               5 (mul_tensor_24)
2022-11-23T01:30:20.5219243Z 
2022-11-23T01:30:20.5219335Z 4439          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5219422Z               38 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.5219511Z               40 LOAD_ATTR                2 (aten)
2022-11-23T01:30:20.5219585Z               42 LOAD_ATTR                6 (sum)
2022-11-23T01:30:20.5219680Z               44 LOAD_METHOD              7 (default)
2022-11-23T01:30:20.5219777Z               46 LOAD_FAST                5 (mul_tensor_24)
2022-11-23T01:30:20.5219863Z               48 CALL_METHOD              1
2022-11-23T01:30:20.5219958Z               50 STORE_FAST               6 (sum_default_7)
2022-11-23T01:30:20.5219963Z 
2022-11-23T01:30:20.5220068Z 4440          52 LOAD_FAST                3 (new_zeros_default_4)
2022-11-23T01:30:20.5220169Z               54 LOAD_FAST                6 (sum_default_7)
2022-11-23T01:30:20.5220256Z               56 BUILD_TUPLE              2
2022-11-23T01:30:20.5220322Z               58 RETURN_VALUE
2022-11-23T01:30:20.5220382Z  
2022-11-23T01:30:20.5220387Z 
2022-11-23T01:30:20.5220702Z [2022-11-23 01:28:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4437
2022-11-23T01:30:20.5220922Z [2022-11-23 01:28:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5221286Z [2022-11-23 01:28:03,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5221576Z [2022-11-23 01:28:03,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5221881Z [2022-11-23 01:28:03,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5222164Z [2022-11-23 01:28:03,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.div)]
2022-11-23T01:30:20.5222437Z [2022-11-23 01:28:03,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem_17 [TorchVariable(aten.div.Tensor)]
2022-11-23T01:30:20.5222719Z [2022-11-23 01:28:03,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg81_1 [TorchVariable(aten.div.Tensor), TensorVariable()]
2022-11-23T01:30:20.5223039Z [2022-11-23 01:28:03,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.div.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5223289Z [2022-11-23 01:28:03,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST div_tensor_7 [TensorVariable()]
2022-11-23T01:30:20.5223602Z [2022-11-23 01:28:03,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4438
2022-11-23T01:30:20.5223845Z [2022-11-23 01:28:03,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5224207Z [2022-11-23 01:28:03,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5224497Z [2022-11-23 01:28:03,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5224797Z [2022-11-23 01:28:03,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5225048Z [2022-11-23 01:28:03,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:30:20.5225321Z [2022-11-23 01:28:03,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_tensor_7 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:30:20.5225619Z [2022-11-23 01:28:03,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg38_1 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:30:20.5225928Z [2022-11-23 01:28:03,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5226182Z [2022-11-23 01:28:03,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_24 [TensorVariable()]
2022-11-23T01:30:20.5226490Z [2022-11-23 01:28:03,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4439
2022-11-23T01:30:20.5226703Z [2022-11-23 01:28:03,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5227063Z [2022-11-23 01:28:03,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5227361Z [2022-11-23 01:28:03,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.5227661Z [2022-11-23 01:28:03,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5227912Z [2022-11-23 01:28:03,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.sum)]
2022-11-23T01:30:20.5228187Z [2022-11-23 01:28:03,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_24 [TorchVariable(aten.sum.default)]
2022-11-23T01:30:20.5228477Z [2022-11-23 01:28:03,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sum.default), TensorVariable()]
2022-11-23T01:30:20.5228721Z [2022-11-23 01:28:03,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_7 [TensorVariable()]
2022-11-23T01:30:20.5229031Z [2022-11-23 01:28:03,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4440
2022-11-23T01:30:20.5229292Z [2022-11-23 01:28:03,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_zeros_default_4 []
2022-11-23T01:30:20.5229544Z [2022-11-23 01:28:03,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_7 [TensorVariable()]
2022-11-23T01:30:20.5229809Z [2022-11-23 01:28:03,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5230053Z [2022-11-23 01:28:03,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5230438Z [2022-11-23 01:28:03,841] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d0b02f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4436>
2022-11-23T01:30:20.5230679Z [2022-11-23 01:28:03,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5230941Z [2022-11-23 01:28:03,842] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5231193Z [2022-11-23 01:28:03,843] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5231427Z [2022-11-23 01:28:03,848] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5231611Z [2022-11-23 01:28:03,849] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5231743Z  __compiled_fn_400 <eval_with_key>.3214 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5231831Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5231914Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.5231996Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.5232121Z call_function, div_tensor, aten.div.Tensor, (ex_2_, ex_1_), {}
2022-11-23T01:30:20.5232252Z call_function, mul_tensor, aten.mul.Tensor, (div_tensor, ex_0_), {}
2022-11-23T01:30:20.5232374Z call_function, sum_default, aten.sum.default, (mul_tensor,), {}
2022-11-23T01:30:20.5232481Z output, output, output, ((sum_default,),), {}
2022-11-23T01:30:20.5232486Z 
2022-11-23T01:30:20.5232809Z [2022-11-23 01:28:03,849] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5232901Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5232991Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5233077Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5233168Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5233251Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5233327Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5233401Z              12 RETURN_VALUE
2022-11-23T01:30:20.5233406Z 
2022-11-23T01:30:20.5233467Z  
2022-11-23T01:30:20.5233789Z [2022-11-23 01:28:03,849] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5233960Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_400)
2022-11-23T01:30:20.5234049Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5234137Z               4 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5234200Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5234287Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5234374Z              10 LOAD_CONST               3 (1)
2022-11-23T01:30:20.5234449Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.5234534Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5234619Z              16 LOAD_CONST               4 (2)
2022-11-23T01:30:20.5234692Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.5234766Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.5234868Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5234957Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5235043Z              26 LOAD_CONST               1 (3)
2022-11-23T01:30:20.5235164Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5235264Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5235350Z              32 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5235412Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5235498Z              36 BUILD_TUPLE              2
2022-11-23T01:30:20.5235570Z              38 RETURN_VALUE
2022-11-23T01:30:20.5235575Z 
2022-11-23T01:30:20.5235635Z  
2022-11-23T01:30:20.5235821Z [2022-11-23 01:28:03,850] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5235889Z  - 
2022-11-23T01:30:20.5236006Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5236058Z             {
2022-11-23T01:30:20.5236198Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5236382Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 4'],
2022-11-23T01:30:20.5236529Z                 'obj_weakref': None
2022-11-23T01:30:20.5236758Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5236823Z             }
2022-11-23T01:30:20.5236886Z             
2022-11-23T01:30:20.5236954Z  - 
2022-11-23T01:30:20.5237064Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5237129Z             {
2022-11-23T01:30:20.5237270Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5237375Z                 'code': None,
2022-11-23T01:30:20.5237588Z                 'obj_weakref': <weakref at 0x7ff58fdf19e0; to 'Tensor' at 0x7ff59c206ed0>
2022-11-23T01:30:20.5237838Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5237900Z             }
2022-11-23T01:30:20.5237950Z             
2022-11-23T01:30:20.5238018Z  - 
2022-11-23T01:30:20.5238142Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.5238203Z             {
2022-11-23T01:30:20.5238344Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5238450Z                 'code': None,
2022-11-23T01:30:20.5238659Z                 'obj_weakref': <weakref at 0x7ff58fcba200; to 'Tensor' at 0x7ff59c207240>
2022-11-23T01:30:20.5238899Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5238964Z             }
2022-11-23T01:30:20.5239025Z             
2022-11-23T01:30:20.5239093Z  - 
2022-11-23T01:30:20.5239214Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.5239276Z             {
2022-11-23T01:30:20.5239416Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5239510Z                 'code': None,
2022-11-23T01:30:20.5239713Z                 'obj_weakref': <weakref at 0x7ff57f911a80; to 'Tensor' at 0x7ff59c05f240>
2022-11-23T01:30:20.5239963Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5240028Z             }
2022-11-23T01:30:20.5240094Z             
2022-11-23T01:30:20.5240163Z  - 
2022-11-23T01:30:20.5240284Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:30:20.5240335Z             {
2022-11-23T01:30:20.5240473Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5240578Z                 'code': None,
2022-11-23T01:30:20.5240785Z                 'obj_weakref': <weakref at 0x7ff58f9c3290; to 'Tensor' at 0x7ff58ff03dd0>
2022-11-23T01:30:20.5241035Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5241097Z             }
2022-11-23T01:30:20.5241157Z             
2022-11-23T01:30:20.5241213Z  - 
2022-11-23T01:30:20.5241340Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5241403Z             {
2022-11-23T01:30:20.5241536Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5241708Z                 'code': ['___check_obj_id(model, 140692652638848)'],
2022-11-23T01:30:20.5241824Z                 'obj_weakref': None
2022-11-23T01:30:20.5242076Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5242127Z             }
2022-11-23T01:30:20.5242186Z             
2022-11-23T01:30:20.5242254Z  - 
2022-11-23T01:30:20.5242373Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5242435Z             {
2022-11-23T01:30:20.5242570Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5242786Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5242890Z                 'obj_weakref': None
2022-11-23T01:30:20.5243107Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5243169Z             }
2022-11-23T01:30:20.5243230Z             
2022-11-23T01:30:20.5243349Z  - 
2022-11-23T01:30:20.5243481Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5243543Z             {
2022-11-23T01:30:20.5243649Z                 'guard_types': None,
2022-11-23T01:30:20.5243758Z                 'code': None,
2022-11-23T01:30:20.5243873Z                 'obj_weakref': None
2022-11-23T01:30:20.5243992Z                 'guarded_class': None
2022-11-23T01:30:20.5244053Z             }
2022-11-23T01:30:20.5244115Z             
2022-11-23T01:30:20.5244361Z [2022-11-23 01:28:03,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 392
2022-11-23T01:30:20.5244732Z [2022-11-23 01:28:05,245] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/va/cvazgyfz6nfo2hvf5upnuikpxsd6trwmkehnkjr5xxml7uksdj63.py
2022-11-23T01:30:20.5244993Z [2022-11-23 01:28:05,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 392
2022-11-23T01:30:20.5244999Z 
2022-11-23T01:30:20.5245092Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5245163Z import torch
2022-11-23T01:30:20.5245231Z import random
2022-11-23T01:30:20.5245345Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5245467Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5245472Z 
2022-11-23T01:30:20.5245549Z aten = torch.ops.aten
2022-11-23T01:30:20.5245670Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5245760Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5245765Z 
2022-11-23T01:30:20.5245770Z 
2022-11-23T01:30:20.5245901Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5246107Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5246225Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5246330Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.5246432Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.5246534Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.5246583Z {
2022-11-23T01:30:20.5246644Z     {
2022-11-23T01:30:20.5246839Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.5246916Z         float tmp5 = 0;
2022-11-23T01:30:20.5247032Z         auto tmp5_vec = at::vec::Vectorized<float>(tmp5);
2022-11-23T01:30:20.5247135Z         #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5247199Z         {
2022-11-23T01:30:20.5247292Z             #pragma omp for reduction(+:tmp5_vec) 
2022-11-23T01:30:20.5247379Z             for(long i0=0; i0<17600; i0+=1)
2022-11-23T01:30:20.5247443Z             {
2022-11-23T01:30:20.5247577Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.5247701Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:30:20.5247834Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i0);
2022-11-23T01:30:20.5247925Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.5248015Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:30:20.5248108Z                 tmp5_vec += tmp4;
2022-11-23T01:30:20.5248173Z             }
2022-11-23T01:30:20.5248367Z             tmp5 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp5_vec);
2022-11-23T01:30:20.5248488Z             #pragma omp for simd simdlen(4) reduction(+:tmp5) 
2022-11-23T01:30:20.5248581Z             for(long i0=140800; i0<140800; i0+=1)
2022-11-23T01:30:20.5248645Z             {
2022-11-23T01:30:20.5248733Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.5248804Z                 auto tmp1 = in_ptr1[0];
2022-11-23T01:30:20.5248891Z                 auto tmp3 = in_ptr2[i0];
2022-11-23T01:30:20.5248978Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.5249063Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:30:20.5249167Z                 tmp5 += tmp4;
2022-11-23T01:30:20.5249229Z             }
2022-11-23T01:30:20.5249295Z         }
2022-11-23T01:30:20.5249361Z         out_ptr0[0] = tmp5;
2022-11-23T01:30:20.5249423Z     }
2022-11-23T01:30:20.5249485Z }
2022-11-23T01:30:20.5249565Z ''')
2022-11-23T01:30:20.5249571Z 
2022-11-23T01:30:20.5249575Z 
2022-11-23T01:30:20.5249666Z async_compile.wait(globals())
2022-11-23T01:30:20.5249738Z del async_compile
2022-11-23T01:30:20.5249743Z 
2022-11-23T01:30:20.5249815Z def call(args):
2022-11-23T01:30:20.5249884Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.5249954Z     args.clear()
2022-11-23T01:30:20.5250141Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5250330Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.5250403Z     del arg0_1
2022-11-23T01:30:20.5250469Z     del arg1_1
2022-11-23T01:30:20.5250535Z     del arg2_1
2022-11-23T01:30:20.5250596Z     return (buf0, )
2022-11-23T01:30:20.5250616Z 
2022-11-23T01:30:20.5250620Z 
2022-11-23T01:30:20.5250683Z if __name__ == "__main__":
2022-11-23T01:30:20.5250799Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5250922Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5251151Z     arg0_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5251334Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5251559Z     arg2_1 = rand_strided((1, 88, 40, 40), (140800, 1600, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5251682Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.5251687Z 
2022-11-23T01:30:20.5251751Z ok (1.442s)
2022-11-23T01:30:20.5251884Z   test_to_device_constant_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T01:30:20.5252017Z   test_to_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.000s)
2022-11-23T01:30:20.5252325Z   test_to_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5252641Z [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5252857Z [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5253110Z [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5253388Z [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5253707Z [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5254049Z [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5255529Z [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5255906Z [2022-11-23 01:28:05,252] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d1102f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723> 
2022-11-23T01:30:20.5256002Z  1725           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5256088Z                2 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:30:20.5256178Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5256271Z                6 LOAD_CONST               1 (6)
2022-11-23T01:30:20.5256538Z                8 LOAD_CONST               2 (('dtype',))
2022-11-23T01:30:20.5256630Z               10 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5256638Z 
2022-11-23T01:30:20.5256730Z 1726          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5256824Z               14 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:30:20.5256948Z               16 LOAD_FAST                1 (b)
2022-11-23T01:30:20.5257036Z               18 LOAD_CONST               3 (1)
2022-11-23T01:30:20.5257108Z               20 BINARY_ADD
2022-11-23T01:30:20.5257193Z               22 LOAD_CONST               1 (6)
2022-11-23T01:30:20.5257340Z               24 LOAD_CONST               2 (('dtype',))
2022-11-23T01:30:20.5257430Z               26 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.5257434Z 
2022-11-23T01:30:20.5257524Z 1727          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5257602Z               30 LOAD_METHOD              2 (to)
2022-11-23T01:30:20.5257690Z               32 LOAD_FAST                1 (b)
2022-11-23T01:30:20.5257780Z               34 LOAD_GLOBAL              3 (torch)
2022-11-23T01:30:20.5257872Z               36 LOAD_ATTR                4 (float64)
2022-11-23T01:30:20.5257958Z               38 CALL_METHOD              2
2022-11-23T01:30:20.5257963Z 
2022-11-23T01:30:20.5258056Z 1728          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5258144Z               42 LOAD_METHOD              2 (to)
2022-11-23T01:30:20.5258231Z               44 LOAD_FAST                1 (b)
2022-11-23T01:30:20.5258309Z               46 LOAD_GLOBAL              3 (torch)
2022-11-23T01:30:20.5258398Z               48 LOAD_ATTR                5 (bool)
2022-11-23T01:30:20.5258481Z               50 CALL_METHOD              2
2022-11-23T01:30:20.5258486Z 
2022-11-23T01:30:20.5258572Z 1724          52 BUILD_TUPLE              4
2022-11-23T01:30:20.5258647Z               54 RETURN_VALUE
2022-11-23T01:30:20.5258708Z  
2022-11-23T01:30:20.5258713Z 
2022-11-23T01:30:20.5259027Z [2022-11-23 01:28:05,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1725
2022-11-23T01:30:20.5259242Z [2022-11-23 01:28:05,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5259544Z [2022-11-23 01:28:05,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5259799Z [2022-11-23 01:28:05,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T01:30:20.5260081Z [2022-11-23 01:28:05,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:30:20.5260409Z [2022-11-23 01:28:05,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5260778Z [2022-11-23 01:28:05,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:20.5261090Z [2022-11-23 01:28:05,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1726
2022-11-23T01:30:20.5261420Z [2022-11-23 01:28:05,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.5261756Z [2022-11-23 01:28:05,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5262036Z [2022-11-23 01:28:05,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten._to_copy)]
2022-11-23T01:30:20.5262343Z [2022-11-23 01:28:05,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:30:20.5262693Z [2022-11-23 01:28:05,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5262986Z [2022-11-23 01:28:05,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:30:20.5263347Z [2022-11-23 01:28:05,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5263744Z [2022-11-23 01:28:05,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:30:20.5264047Z [2022-11-23 01:28:05,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1727
2022-11-23T01:30:20.5264314Z [2022-11-23 01:28:05,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5264670Z [2022-11-23 01:28:05,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5264971Z [2022-11-23 01:28:05,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:30:20.5265308Z [2022-11-23 01:28:05,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:30:20.5265805Z [2022-11-23 01:28:05,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float64 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5266181Z [2022-11-23 01:28:05,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:30:20.5266492Z [2022-11-23 01:28:05,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1728
2022-11-23T01:30:20.5266794Z [2022-11-23 01:28:05,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5267177Z [2022-11-23 01:28:05,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5267488Z [2022-11-23 01:28:05,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:30:20.5267845Z [2022-11-23 01:28:05,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:30:20.5268390Z [2022-11-23 01:28:05,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5268828Z [2022-11-23 01:28:05,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:30:20.5269140Z [2022-11-23 01:28:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1724
2022-11-23T01:30:20.5269459Z [2022-11-23 01:28:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5269701Z [2022-11-23 01:28:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5270077Z [2022-11-23 01:28:05,283] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d1102f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1723>
2022-11-23T01:30:20.5270321Z [2022-11-23 01:28:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5270551Z [2022-11-23 01:28:05,283] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5270802Z [2022-11-23 01:28:05,285] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5271051Z [2022-11-23 01:28:05,290] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5271226Z [2022-11-23 01:28:05,290] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5271358Z  __compiled_fn_401 <eval_with_key>.3220 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5271447Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5271531Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.5271708Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'dtype': 6}
2022-11-23T01:30:20.5271880Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:30:20.5272052Z call_function, _to_copy_1, aten._to_copy, (add,), {'dtype': 6}
2022-11-23T01:30:20.5272156Z call_function, to, aten.to, (ex_1_, torch.float64), {}
2022-11-23T01:30:20.5272266Z call_function, to_1, aten.to, (ex_1_, torch.bool), {}
2022-11-23T01:30:20.5272383Z output, output, output, ((_to_copy, _to_copy_1, to, to_1),), {}
2022-11-23T01:30:20.5272388Z 
2022-11-23T01:30:20.5272713Z [2022-11-23 01:28:05,290] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5272806Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5272895Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5272980Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5273070Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5273145Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5273231Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5273305Z              12 RETURN_VALUE
2022-11-23T01:30:20.5273311Z 
2022-11-23T01:30:20.5273370Z  
2022-11-23T01:30:20.5273691Z [2022-11-23 01:28:05,290] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5273864Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_401)
2022-11-23T01:30:20.5273958Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5274045Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5274109Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5274196Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5274282Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5274356Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.5274442Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.5274614Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5274716Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5274792Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5274868Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5274969Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5275055Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5275127Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5275222Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5275307Z              32 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5275369Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5275467Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5275553Z              38 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5275626Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.5275716Z              42 BUILD_TUPLE              4
2022-11-23T01:30:20.5275787Z              44 RETURN_VALUE
2022-11-23T01:30:20.5275793Z 
2022-11-23T01:30:20.5275852Z  
2022-11-23T01:30:20.5276041Z [2022-11-23 01:28:05,291] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5276098Z  - 
2022-11-23T01:30:20.5276215Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5276279Z             {
2022-11-23T01:30:20.5276418Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5276604Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.5276722Z                 'obj_weakref': None
2022-11-23T01:30:20.5276945Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5276997Z             }
2022-11-23T01:30:20.5277058Z             
2022-11-23T01:30:20.5277125Z  - 
2022-11-23T01:30:20.5277248Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5277309Z             {
2022-11-23T01:30:20.5277455Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5277549Z                 'code': None,
2022-11-23T01:30:20.5277760Z                 'obj_weakref': <weakref at 0x7ff58f9c1990; to 'Tensor' at 0x7ff5a85022a0>
2022-11-23T01:30:20.5278009Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5278070Z             }
2022-11-23T01:30:20.5278132Z             
2022-11-23T01:30:20.5278200Z  - 
2022-11-23T01:30:20.5278324Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.5278385Z             {
2022-11-23T01:30:20.5278515Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5278621Z                 'code': None,
2022-11-23T01:30:20.5278832Z                 'obj_weakref': <weakref at 0x7ff58f9c0180; to 'Tensor' at 0x7ff59c1ee1b0>
2022-11-23T01:30:20.5279080Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5279146Z             }
2022-11-23T01:30:20.5279206Z             
2022-11-23T01:30:20.5279275Z  - 
2022-11-23T01:30:20.5279392Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5279453Z             {
2022-11-23T01:30:20.5279586Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5279753Z                 'code': ['___check_obj_id(model, 140693068981312)'],
2022-11-23T01:30:20.5279869Z                 'obj_weakref': None
2022-11-23T01:30:20.5280100Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5280162Z             }
2022-11-23T01:30:20.5280212Z             
2022-11-23T01:30:20.5280279Z  - 
2022-11-23T01:30:20.5280403Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5280465Z             {
2022-11-23T01:30:20.5280598Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5280814Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5281011Z                 'obj_weakref': None
2022-11-23T01:30:20.5281217Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5281278Z             }
2022-11-23T01:30:20.5281339Z             
2022-11-23T01:30:20.5281405Z  - 
2022-11-23T01:30:20.5281533Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.5281594Z             {
2022-11-23T01:30:20.5281700Z                 'guard_types': None,
2022-11-23T01:30:20.5281804Z                 'code': None,
2022-11-23T01:30:20.5281919Z                 'obj_weakref': None
2022-11-23T01:30:20.5282037Z                 'guarded_class': None
2022-11-23T01:30:20.5282097Z             }
2022-11-23T01:30:20.5282158Z             
2022-11-23T01:30:20.5282228Z  - 
2022-11-23T01:30:20.5282346Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5282407Z             {
2022-11-23T01:30:20.5282525Z                 'guard_types': None,
2022-11-23T01:30:20.5282630Z                 'code': None,
2022-11-23T01:30:20.5282749Z                 'obj_weakref': None
2022-11-23T01:30:20.5282866Z                 'guarded_class': None
2022-11-23T01:30:20.5282927Z             }
2022-11-23T01:30:20.5282977Z             
2022-11-23T01:30:20.5283043Z  - 
2022-11-23T01:30:20.5283186Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:30:20.5283248Z             {
2022-11-23T01:30:20.5283389Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.5283546Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:30:20.5283661Z                 'obj_weakref': None
2022-11-23T01:30:20.5283870Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:20.5283931Z             }
2022-11-23T01:30:20.5283992Z             
2022-11-23T01:30:20.5284059Z  - 
2022-11-23T01:30:20.5284207Z             global 'torch.float64' CONSTANT_MATCH
2022-11-23T01:30:20.5284269Z             {
2022-11-23T01:30:20.5284410Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.5284575Z                 'code': ["str(torch.float64) == 'torch.float64'"],
2022-11-23T01:30:20.5284690Z                 'obj_weakref': None
2022-11-23T01:30:20.5284911Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:20.5284973Z             }
2022-11-23T01:30:20.5285033Z             
2022-11-23T01:30:20.5285292Z [2022-11-23 01:28:05,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 393
2022-11-23T01:30:20.5285660Z [2022-11-23 01:28:06,696] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j5/cj5hvnz4bprftxws5pb35rwdqjg2ejjxkygyujwdvillf52c624j.py
2022-11-23T01:30:20.5285910Z [2022-11-23 01:28:06,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 393
2022-11-23T01:30:20.5285928Z 
2022-11-23T01:30:20.5286008Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5286076Z import torch
2022-11-23T01:30:20.5286149Z import random
2022-11-23T01:30:20.5286262Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5286381Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5286386Z 
2022-11-23T01:30:20.5286461Z aten = torch.ops.aten
2022-11-23T01:30:20.5286594Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5286673Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5286678Z 
2022-11-23T01:30:20.5286694Z 
2022-11-23T01:30:20.5286813Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5287018Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5287137Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.5287234Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5287328Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:30:20.5287387Z {
2022-11-23T01:30:20.5287483Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5287586Z     {
2022-11-23T01:30:20.5287663Z         #pragma omp for 
2022-11-23T01:30:20.5287744Z         for(long i0=0; i0<40; i0+=1)
2022-11-23T01:30:20.5287806Z         {
2022-11-23T01:30:20.5287868Z             {
2022-11-23T01:30:20.5287931Z                 {
2022-11-23T01:30:20.5288010Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.5288112Z                     auto tmp1 = static_cast<double>(1);
2022-11-23T01:30:20.5288201Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5288306Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:30:20.5288410Z                     auto tmp4 = static_cast<bool>(tmp0);
2022-11-23T01:30:20.5288492Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.5288572Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.5288637Z                 }
2022-11-23T01:30:20.5288689Z             }
2022-11-23T01:30:20.5288751Z         }
2022-11-23T01:30:20.5288815Z     }
2022-11-23T01:30:20.5288879Z }
2022-11-23T01:30:20.5288959Z ''')
2022-11-23T01:30:20.5288964Z 
2022-11-23T01:30:20.5288968Z 
2022-11-23T01:30:20.5289057Z async_compile.wait(globals())
2022-11-23T01:30:20.5289128Z del async_compile
2022-11-23T01:30:20.5289133Z 
2022-11-23T01:30:20.5289190Z def call(args):
2022-11-23T01:30:20.5289266Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.5289339Z     args.clear()
2022-11-23T01:30:20.5289548Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5289747Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.5289910Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.5290003Z     return (arg0_1, buf0, arg1_1, buf1, )
2022-11-23T01:30:20.5290008Z 
2022-11-23T01:30:20.5290012Z 
2022-11-23T01:30:20.5290087Z if __name__ == "__main__":
2022-11-23T01:30:20.5290189Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5290316Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5290522Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5290721Z     arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.5290836Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.5290841Z 
2022-11-23T01:30:20.5290909Z ok (1.450s)
2022-11-23T01:30:20.5291208Z   test_topk_cpu (__main__.CpuTests) ... [2022-11-23 01:28:06,703] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5291525Z [2022-11-23 01:28:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5291728Z [2022-11-23 01:28:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5291981Z [2022-11-23 01:28:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5292261Z [2022-11-23 01:28:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5292580Z [2022-11-23 01:28:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5292931Z [2022-11-23 01:28:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5293252Z [2022-11-23 01:28:06,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5293629Z [2022-11-23 01:28:06,704] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e0df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099> 
2022-11-23T01:30:20.5293756Z  3100           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5293881Z                2 LOAD_METHOD              1 (topk)
2022-11-23T01:30:20.5293968Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5294045Z                6 LOAD_CONST               1 (2)
2022-11-23T01:30:20.5294185Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.5294276Z               10 CALL_METHOD              3
2022-11-23T01:30:20.5294353Z               12 RETURN_VALUE
2022-11-23T01:30:20.5294417Z  
2022-11-23T01:30:20.5294423Z 
2022-11-23T01:30:20.5294736Z [2022-11-23 01:28:06,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3100
2022-11-23T01:30:20.5294955Z [2022-11-23 01:28:06,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5295321Z [2022-11-23 01:28:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR topk [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5295628Z [2022-11-23 01:28:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method topk of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5295974Z [2022-11-23 01:28:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method topk of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5296360Z [2022-11-23 01:28:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method topk of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5296917Z [2022-11-23 01:28:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method topk of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5297173Z [2022-11-23 01:28:06,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:30:20.5297556Z [2022-11-23 01:28:06,707] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e0df0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3099>
2022-11-23T01:30:20.5297811Z [2022-11-23 01:28:06,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:30:20.5298047Z [2022-11-23 01:28:06,707] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5298301Z [2022-11-23 01:28:06,709] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5298548Z [2022-11-23 01:28:06,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5298736Z [2022-11-23 01:28:06,713] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5298857Z  __compiled_fn_402 <eval_with_key>.3226 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5298952Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5299187Z call_function, topk, <built-in method topk of type object at 0x7ff5d7c59c60>, (ex_0_, 2, -1), {}
2022-11-23T01:30:20.5299372Z call_function, getitem, <built-in function getitem>, (topk, 0), {}
2022-11-23T01:30:20.5299561Z call_function, getitem_1, <built-in function getitem>, (topk, 1), {}
2022-11-23T01:30:20.5299669Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:30:20.5299675Z 
2022-11-23T01:30:20.5299999Z [2022-11-23 01:28:06,713] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5300092Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5300172Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5300260Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5300354Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5300439Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5300609Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5300684Z              12 RETURN_VALUE
2022-11-23T01:30:20.5300689Z 
2022-11-23T01:30:20.5300749Z  
2022-11-23T01:30:20.5301059Z [2022-11-23 01:28:06,713] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5301166Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_402)
2022-11-23T01:30:20.5301256Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5301346Z               4 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5301420Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5301507Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5301609Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5301798Z              12 LOAD_CONST               1 (<class 'torch.return_types.topk'>)
2022-11-23T01:30:20.5301889Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5301977Z              16 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5302052Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.5302153Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5302241Z              22 LOAD_CONST               3 (1)
2022-11-23T01:30:20.5302313Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.5302400Z              26 BUILD_TUPLE              2
2022-11-23T01:30:20.5302475Z              28 CALL_FUNCTION            1
2022-11-23T01:30:20.5302547Z              30 RETURN_VALUE
2022-11-23T01:30:20.5302553Z 
2022-11-23T01:30:20.5302609Z  
2022-11-23T01:30:20.5302792Z [2022-11-23 01:28:06,714] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5302860Z  - 
2022-11-23T01:30:20.5302977Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5303040Z             {
2022-11-23T01:30:20.5303168Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5303354Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5303474Z                 'obj_weakref': None
2022-11-23T01:30:20.5303697Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5303760Z             }
2022-11-23T01:30:20.5303821Z             
2022-11-23T01:30:20.5303889Z  - 
2022-11-23T01:30:20.5304000Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5304062Z             {
2022-11-23T01:30:20.5304202Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5304307Z                 'code': None,
2022-11-23T01:30:20.5304517Z                 'obj_weakref': <weakref at 0x7ff59c062890; to 'Tensor' at 0x7ff5a85022a0>
2022-11-23T01:30:20.5304768Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5304828Z             }
2022-11-23T01:30:20.5304879Z             
2022-11-23T01:30:20.5304945Z  - 
2022-11-23T01:30:20.5305077Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5305140Z             {
2022-11-23T01:30:20.5305273Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5305439Z                 'code': ['___check_obj_id(model, 140692652647776)'],
2022-11-23T01:30:20.5305555Z                 'obj_weakref': None
2022-11-23T01:30:20.5305771Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5305832Z             }
2022-11-23T01:30:20.5305893Z             
2022-11-23T01:30:20.5305960Z  - 
2022-11-23T01:30:20.5306080Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5306141Z             {
2022-11-23T01:30:20.5306273Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5306477Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5306592Z                 'obj_weakref': None
2022-11-23T01:30:20.5306840Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5306931Z             }
2022-11-23T01:30:20.5306992Z             
2022-11-23T01:30:20.5307059Z  - 
2022-11-23T01:30:20.5307190Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5307240Z             {
2022-11-23T01:30:20.5307356Z                 'guard_types': None,
2022-11-23T01:30:20.5307462Z                 'code': None,
2022-11-23T01:30:20.5307575Z                 'obj_weakref': None
2022-11-23T01:30:20.5307694Z                 'guarded_class': None
2022-11-23T01:30:20.5307755Z             }
2022-11-23T01:30:20.5307816Z             
2022-11-23T01:30:20.5308063Z [2022-11-23 01:28:06,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 394
2022-11-23T01:30:20.5308275Z [2022-11-23 01:28:06,721] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk
2022-11-23T01:30:20.5308643Z [2022-11-23 01:28:06,724] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5u/c5udxjcz6iqxkimdsm5mpsirwkjk6dcqkkildk56ltptyiv6ac5n.py
2022-11-23T01:30:20.5308908Z [2022-11-23 01:28:06,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 394
2022-11-23T01:30:20.5308914Z 
2022-11-23T01:30:20.5309007Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5309075Z import torch
2022-11-23T01:30:20.5309142Z import random
2022-11-23T01:30:20.5309256Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5309364Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5309369Z 
2022-11-23T01:30:20.5309446Z aten = torch.ops.aten
2022-11-23T01:30:20.5309577Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5309668Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5309674Z 
2022-11-23T01:30:20.5309678Z 
2022-11-23T01:30:20.5309764Z async_compile.wait(globals())
2022-11-23T01:30:20.5309835Z del async_compile
2022-11-23T01:30:20.5309840Z 
2022-11-23T01:30:20.5309908Z def call(args):
2022-11-23T01:30:20.5309979Z     arg0_1, = args
2022-11-23T01:30:20.5310037Z     args.clear()
2022-11-23T01:30:20.5310119Z     buf0 = aten.topk(arg0_1, 2)
2022-11-23T01:30:20.5310185Z     del arg0_1
2022-11-23T01:30:20.5310252Z     buf1 = buf0[0]
2022-11-23T01:30:20.5310355Z     assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:30:20.5310422Z     buf2 = buf0[1]
2022-11-23T01:30:20.5310524Z     assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:30:20.5310576Z     del buf0
2022-11-23T01:30:20.5310651Z     return (buf1, buf2, )
2022-11-23T01:30:20.5310656Z 
2022-11-23T01:30:20.5310664Z 
2022-11-23T01:30:20.5310739Z if __name__ == "__main__":
2022-11-23T01:30:20.5310849Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5310969Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5311181Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5311287Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5311296Z 
2022-11-23T01:30:20.5311361Z ok (0.026s)
2022-11-23T01:30:20.5311666Z   test_transpose_add_cpu (__main__.CpuTests) ... [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5311979Z [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5312195Z [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5312446Z [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5312720Z [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5313037Z [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5313444Z [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5313767Z [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5314222Z [2022-11-23 01:28:06,728] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d113d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2335> 
2022-11-23T01:30:20.5314315Z  2336           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5314395Z                2 LOAD_METHOD              0 (t)
2022-11-23T01:30:20.5314485Z                4 CALL_METHOD              0
2022-11-23T01:30:20.5314573Z                6 LOAD_FAST                1 (b)
2022-11-23T01:30:20.5314648Z                8 BINARY_ADD
2022-11-23T01:30:20.5314724Z               10 RETURN_VALUE
2022-11-23T01:30:20.5314788Z  
2022-11-23T01:30:20.5314794Z 
2022-11-23T01:30:20.5315107Z [2022-11-23 01:28:06,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2336
2022-11-23T01:30:20.5315314Z [2022-11-23 01:28:06,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.5315539Z [2022-11-23 01:28:06,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TensorVariable()]
2022-11-23T01:30:20.5315817Z [2022-11-23 01:28:06,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), t)]
2022-11-23T01:30:20.5316048Z [2022-11-23 01:28:06,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.5316317Z [2022-11-23 01:28:06,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5316565Z [2022-11-23 01:28:06,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.5316940Z [2022-11-23 01:28:06,730] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d113d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2335>
2022-11-23T01:30:20.5317184Z [2022-11-23 01:28:06,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.5317417Z [2022-11-23 01:28:06,731] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5317669Z [2022-11-23 01:28:06,731] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5317904Z [2022-11-23 01:28:06,734] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5318088Z [2022-11-23 01:28:06,734] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5318221Z  __compiled_fn_403 <eval_with_key>.3232 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5318313Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5318400Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.5318480Z call_method, t, t, (ex_0_,), {}
2022-11-23T01:30:20.5318651Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:30:20.5318744Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.5318749Z 
2022-11-23T01:30:20.5319058Z [2022-11-23 01:28:06,735] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5319150Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5319238Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5319324Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5319417Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5319501Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5319587Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5319724Z              12 RETURN_VALUE
2022-11-23T01:30:20.5319730Z 
2022-11-23T01:30:20.5319778Z  
2022-11-23T01:30:20.5320098Z [2022-11-23 01:28:06,735] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5320204Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_403)
2022-11-23T01:30:20.5320291Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5320379Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5320454Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5320539Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5320613Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5320686Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.5320772Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.5320861Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.5320934Z              18 RETURN_VALUE
2022-11-23T01:30:20.5320943Z 
2022-11-23T01:30:20.5321002Z  
2022-11-23T01:30:20.5321182Z [2022-11-23 01:28:06,736] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5321238Z  - 
2022-11-23T01:30:20.5321355Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5321417Z             {
2022-11-23T01:30:20.5321557Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5321744Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.5321862Z                 'obj_weakref': None
2022-11-23T01:30:20.5322085Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5322151Z             }
2022-11-23T01:30:20.5322202Z             
2022-11-23T01:30:20.5322270Z  - 
2022-11-23T01:30:20.5322395Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5322456Z             {
2022-11-23T01:30:20.5322597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5322706Z                 'code': None,
2022-11-23T01:30:20.5322903Z                 'obj_weakref': <weakref at 0x7ff59c061c10; to 'Tensor' at 0x7ff5a81831f0>
2022-11-23T01:30:20.5323153Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5323214Z             }
2022-11-23T01:30:20.5323277Z             
2022-11-23T01:30:20.5323344Z  - 
2022-11-23T01:30:20.5323465Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.5323526Z             {
2022-11-23T01:30:20.5323656Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5323758Z                 'code': None,
2022-11-23T01:30:20.5323965Z                 'obj_weakref': <weakref at 0x7ff59c060db0; to 'Tensor' at 0x7ff5a8265490>
2022-11-23T01:30:20.5324217Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5324277Z             }
2022-11-23T01:30:20.5324338Z             
2022-11-23T01:30:20.5324407Z  - 
2022-11-23T01:30:20.5324525Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5324588Z             {
2022-11-23T01:30:20.5324721Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5324891Z                 'code': ['___check_obj_id(model, 140693067556768)'],
2022-11-23T01:30:20.5325008Z                 'obj_weakref': None
2022-11-23T01:30:20.5325235Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5325296Z             }
2022-11-23T01:30:20.5325346Z             
2022-11-23T01:30:20.5325413Z  - 
2022-11-23T01:30:20.5325535Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5325595Z             {
2022-11-23T01:30:20.5325728Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5325943Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5326058Z                 'obj_weakref': None
2022-11-23T01:30:20.5326365Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5326416Z             }
2022-11-23T01:30:20.5326477Z             
2022-11-23T01:30:20.5326736Z [2022-11-23 01:28:06,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 395
2022-11-23T01:30:20.5327104Z [2022-11-23 01:28:08,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ey/ceyck2c3grbqumirdaxrfsx7nfeqgfqm22k2qlcswugknlypjhzr.py
2022-11-23T01:30:20.5327367Z [2022-11-23 01:28:08,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 395
2022-11-23T01:30:20.5327372Z 
2022-11-23T01:30:20.5327468Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5327536Z import torch
2022-11-23T01:30:20.5327591Z import random
2022-11-23T01:30:20.5327707Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5327824Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5327831Z 
2022-11-23T01:30:20.5327911Z aten = torch.ops.aten
2022-11-23T01:30:20.5328046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5328138Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5328143Z 
2022-11-23T01:30:20.5328148Z 
2022-11-23T01:30:20.5328281Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5328484Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5328603Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5328694Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.5328794Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.5328852Z {
2022-11-23T01:30:20.5328951Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5329014Z     {
2022-11-23T01:30:20.5329089Z         #pragma omp for 
2022-11-23T01:30:20.5329158Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:30:20.5329219Z         {
2022-11-23T01:30:20.5329301Z             #pragma GCC ivdep
2022-11-23T01:30:20.5329385Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:30:20.5329448Z             {
2022-11-23T01:30:20.5329511Z                 {
2022-11-23T01:30:20.5329575Z                     {
2022-11-23T01:30:20.5329664Z                         auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:30:20.5329765Z                         auto tmp1 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:30:20.5329857Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5329954Z                         out_ptr0[i1 + (16*i0)] = tmp2;
2022-11-23T01:30:20.5330022Z                     }
2022-11-23T01:30:20.5330085Z                 }
2022-11-23T01:30:20.5330149Z             }
2022-11-23T01:30:20.5330199Z         }
2022-11-23T01:30:20.5330262Z     }
2022-11-23T01:30:20.5330322Z }
2022-11-23T01:30:20.5330402Z ''')
2022-11-23T01:30:20.5330407Z 
2022-11-23T01:30:20.5330411Z 
2022-11-23T01:30:20.5330502Z async_compile.wait(globals())
2022-11-23T01:30:20.5330573Z del async_compile
2022-11-23T01:30:20.5330582Z 
2022-11-23T01:30:20.5330653Z def call(args):
2022-11-23T01:30:20.5330715Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.5330788Z     args.clear()
2022-11-23T01:30:20.5330986Z     buf0 = empty_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5331151Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.5331219Z     del arg0_1
2022-11-23T01:30:20.5331286Z     del arg1_1
2022-11-23T01:30:20.5331357Z     return (buf0, )
2022-11-23T01:30:20.5331362Z 
2022-11-23T01:30:20.5331366Z 
2022-11-23T01:30:20.5331442Z if __name__ == "__main__":
2022-11-23T01:30:20.5331543Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5331664Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5331863Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5332093Z     arg1_1 = rand_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5332247Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.5332252Z 
2022-11-23T01:30:20.5332319Z ok (1.482s)
2022-11-23T01:30:20.5332630Z   test_transpose_cpu (__main__.CpuTests) ... [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5332943Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5333149Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5333403Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5333680Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5334002Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5334349Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5334673Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5335046Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d169a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242> 
2022-11-23T01:30:20.5335144Z  1244           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5335237Z                2 LOAD_METHOD              1 (t)
2022-11-23T01:30:20.5335329Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5335406Z                6 CALL_METHOD              1
2022-11-23T01:30:20.5335498Z                8 LOAD_FAST                1 (b)
2022-11-23T01:30:20.5335572Z               10 BINARY_ADD
2022-11-23T01:30:20.5335577Z 
2022-11-23T01:30:20.5335674Z 1245          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5335774Z               14 LOAD_METHOD              2 (transpose)
2022-11-23T01:30:20.5335863Z               16 LOAD_FAST                1 (b)
2022-11-23T01:30:20.5335949Z               18 LOAD_CONST               1 (2)
2022-11-23T01:30:20.5336017Z               20 BINARY_MULTIPLY
2022-11-23T01:30:20.5336105Z               22 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5336193Z               24 LOAD_CONST               3 (1)
2022-11-23T01:30:20.5336281Z               26 CALL_METHOD              3
2022-11-23T01:30:20.5336371Z               28 LOAD_CONST               4 (10)
2022-11-23T01:30:20.5336585Z               30 BINARY_ADD
2022-11-23T01:30:20.5336591Z 
2022-11-23T01:30:20.5336680Z 1243          32 BUILD_TUPLE              2
2022-11-23T01:30:20.5336761Z               34 RETURN_VALUE
2022-11-23T01:30:20.5336810Z  
2022-11-23T01:30:20.5336815Z 
2022-11-23T01:30:20.5337133Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1244
2022-11-23T01:30:20.5337355Z [2022-11-23 01:28:08,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5337716Z [2022-11-23 01:28:08,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5338032Z [2022-11-23 01:28:08,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method t of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5338379Z [2022-11-23 01:28:08,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method t of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5338702Z [2022-11-23 01:28:08,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.5338978Z [2022-11-23 01:28:08,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5339297Z [2022-11-23 01:28:08,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1245
2022-11-23T01:30:20.5339541Z [2022-11-23 01:28:08,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.5339929Z [2022-11-23 01:28:08,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR transpose [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5340290Z [2022-11-23 01:28:08,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5340678Z [2022-11-23 01:28:08,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5341116Z [2022-11-23 01:28:08,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5341497Z [2022-11-23 01:28:08,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5341923Z [2022-11-23 01:28:08,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5342395Z [2022-11-23 01:28:08,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5342669Z [2022-11-23 01:28:08,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5342979Z [2022-11-23 01:28:08,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5343288Z [2022-11-23 01:28:08,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1243
2022-11-23T01:30:20.5343556Z [2022-11-23 01:28:08,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5343801Z [2022-11-23 01:28:08,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5344185Z [2022-11-23 01:28:08,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d169a50, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1242>
2022-11-23T01:30:20.5344415Z [2022-11-23 01:28:08,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5344649Z [2022-11-23 01:28:08,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5344899Z [2022-11-23 01:28:08,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5345144Z [2022-11-23 01:28:08,224] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5345331Z [2022-11-23 01:28:08,224] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5345464Z  __compiled_fn_404 <eval_with_key>.3238 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5345636Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5345722Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.5345924Z call_function, t, <built-in method t of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.5346094Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:30:20.5346260Z call_function, mul, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:30:20.5346505Z call_function, transpose, <built-in method transpose of type object at 0x7ff5d7c59c60>, (mul, 0, 1), {}
2022-11-23T01:30:20.5346688Z call_function, add_1, <built-in function add>, (transpose, 10), {}
2022-11-23T01:30:20.5346792Z output, output, output, ((add, add_1),), {}
2022-11-23T01:30:20.5346797Z 
2022-11-23T01:30:20.5347120Z [2022-11-23 01:28:08,224] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5347213Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5347306Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5347379Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5347470Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5347553Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5347640Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5347715Z              12 RETURN_VALUE
2022-11-23T01:30:20.5347720Z 
2022-11-23T01:30:20.5347780Z  
2022-11-23T01:30:20.5348103Z [2022-11-23 01:28:08,224] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5348198Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_404)
2022-11-23T01:30:20.5348288Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5348377Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5348454Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5348542Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5348633Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5348708Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.5348782Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.5348884Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5348982Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5349068Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5349142Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5349241Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5349327Z              26 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5349402Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5349476Z              30 BUILD_TUPLE              2
2022-11-23T01:30:20.5349548Z              32 RETURN_VALUE
2022-11-23T01:30:20.5349553Z 
2022-11-23T01:30:20.5349613Z  
2022-11-23T01:30:20.5349794Z [2022-11-23 01:28:08,225] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5349866Z  - 
2022-11-23T01:30:20.5349981Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5350046Z             {
2022-11-23T01:30:20.5350173Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5350358Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.5350477Z                 'obj_weakref': None
2022-11-23T01:30:20.5350700Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5350763Z             }
2022-11-23T01:30:20.5350825Z             
2022-11-23T01:30:20.5350892Z  - 
2022-11-23T01:30:20.5351002Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5351064Z             {
2022-11-23T01:30:20.5351205Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5351310Z                 'code': None,
2022-11-23T01:30:20.5351521Z                 'obj_weakref': <weakref at 0x7ff58ff1c130; to 'Tensor' at 0x7ff5a85022a0>
2022-11-23T01:30:20.5351828Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5351892Z             }
2022-11-23T01:30:20.5351941Z             
2022-11-23T01:30:20.5352008Z  - 
2022-11-23T01:30:20.5352130Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.5352192Z             {
2022-11-23T01:30:20.5352331Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5352435Z                 'code': None,
2022-11-23T01:30:20.5352645Z                 'obj_weakref': <weakref at 0x7ff58ff1c540; to 'Tensor' at 0x7ff58f987740>
2022-11-23T01:30:20.5352885Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5352947Z             }
2022-11-23T01:30:20.5353008Z             
2022-11-23T01:30:20.5353075Z  - 
2022-11-23T01:30:20.5353203Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5353265Z             {
2022-11-23T01:30:20.5353402Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5353559Z                 'code': ['___check_obj_id(model, 140693067551728)'],
2022-11-23T01:30:20.5353674Z                 'obj_weakref': None
2022-11-23T01:30:20.5353990Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5354056Z             }
2022-11-23T01:30:20.5354117Z             
2022-11-23T01:30:20.5354189Z  - 
2022-11-23T01:30:20.5354310Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5354360Z             {
2022-11-23T01:30:20.5354495Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5354711Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5354828Z                 'obj_weakref': None
2022-11-23T01:30:20.5355048Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5355109Z             }
2022-11-23T01:30:20.5355174Z             
2022-11-23T01:30:20.5355231Z  - 
2022-11-23T01:30:20.5355364Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5355427Z             {
2022-11-23T01:30:20.5355546Z                 'guard_types': None,
2022-11-23T01:30:20.5355651Z                 'code': None,
2022-11-23T01:30:20.5355765Z                 'obj_weakref': None
2022-11-23T01:30:20.5355872Z                 'guarded_class': None
2022-11-23T01:30:20.5355937Z             }
2022-11-23T01:30:20.5355997Z             
2022-11-23T01:30:20.5356257Z [2022-11-23 01:28:08,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 396
2022-11-23T01:30:20.5356625Z [2022-11-23 01:28:09,691] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qa/cqa643uzlpdrjxbesbp7w2aprpold6yv5jjxod6yfth7t3cyudem.py
2022-11-23T01:30:20.5356892Z [2022-11-23 01:28:09,692] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 396
2022-11-23T01:30:20.5356897Z 
2022-11-23T01:30:20.5356993Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5357059Z import torch
2022-11-23T01:30:20.5357116Z import random
2022-11-23T01:30:20.5357230Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5357348Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5357353Z 
2022-11-23T01:30:20.5357429Z aten = torch.ops.aten
2022-11-23T01:30:20.5357561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5357650Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5357655Z 
2022-11-23T01:30:20.5357659Z 
2022-11-23T01:30:20.5357792Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5357996Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5358102Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5358204Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.5358302Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5358462Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.5358522Z {
2022-11-23T01:30:20.5358619Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5358682Z     {
2022-11-23T01:30:20.5358746Z         #pragma omp for 
2022-11-23T01:30:20.5358826Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5358888Z         {
2022-11-23T01:30:20.5358966Z             #pragma GCC ivdep
2022-11-23T01:30:20.5359049Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:30:20.5359112Z             {
2022-11-23T01:30:20.5359175Z                 {
2022-11-23T01:30:20.5359228Z                     {
2022-11-23T01:30:20.5359329Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:30:20.5359425Z                         auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:30:20.5359522Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5359617Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:30:20.5359683Z                     }
2022-11-23T01:30:20.5359748Z                 }
2022-11-23T01:30:20.5359798Z             }
2022-11-23T01:30:20.5359859Z         }
2022-11-23T01:30:20.5359935Z         #pragma omp for 
2022-11-23T01:30:20.5360016Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5360080Z         {
2022-11-23T01:30:20.5360219Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.5360350Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.5360422Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5360552Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:30:20.5360638Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.5360727Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.5360789Z         }
2022-11-23T01:30:20.5360880Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.5360960Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.5361011Z         {
2022-11-23T01:30:20.5361096Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:30:20.5361193Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:20.5361274Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5361373Z             auto tmp3 = static_cast<float>(10);
2022-11-23T01:30:20.5361453Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.5361529Z             out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.5361578Z         }
2022-11-23T01:30:20.5361639Z     }
2022-11-23T01:30:20.5361698Z }
2022-11-23T01:30:20.5361775Z ''')
2022-11-23T01:30:20.5361780Z 
2022-11-23T01:30:20.5361785Z 
2022-11-23T01:30:20.5361873Z async_compile.wait(globals())
2022-11-23T01:30:20.5361948Z del async_compile
2022-11-23T01:30:20.5361953Z 
2022-11-23T01:30:20.5362022Z def call(args):
2022-11-23T01:30:20.5362085Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.5362154Z     args.clear()
2022-11-23T01:30:20.5362347Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5362543Z     buf1 = empty_strided((8, 8), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5362731Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.5362798Z     del arg0_1
2022-11-23T01:30:20.5362862Z     del arg1_1
2022-11-23T01:30:20.5362938Z     return (buf0, buf1, )
2022-11-23T01:30:20.5362944Z 
2022-11-23T01:30:20.5362948Z 
2022-11-23T01:30:20.5363010Z if __name__ == "__main__":
2022-11-23T01:30:20.5363122Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5363242Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5363437Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5363631Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5363742Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.5363747Z 
2022-11-23T01:30:20.5363858Z ok (1.487s)
2022-11-23T01:30:20.5364214Z   test_transposed_propagates_cpu (__main__.CpuTests) ... [2022-11-23 01:28:09,698] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:20.5364523Z [2022-11-23 01:28:09,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2206
2022-11-23T01:30:20.5364734Z [2022-11-23 01:28:09,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.5364971Z [2022-11-23 01:28:09,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.5365239Z [2022-11-23 01:28:09,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5365483Z [2022-11-23 01:28:09,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.5365714Z [2022-11-23 01:28:09,699] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:20.5365956Z [2022-11-23 01:28:09,700] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.5366192Z [2022-11-23 01:28:09,703] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.5366377Z [2022-11-23 01:28:09,703] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5366499Z  __compiled_fn_405 <eval_with_key>.3244 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5366580Z placeholder, x, x, (), {}
2022-11-23T01:30:20.5366659Z placeholder, y, y, (), {}
2022-11-23T01:30:20.5366824Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:30:20.5366917Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.5366922Z 
2022-11-23T01:30:20.5367242Z [2022-11-23 01:28:09,704] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 
2022-11-23T01:30:20.5367335Z 2206           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5367426Z                2 LOAD_FAST                1 (y)
2022-11-23T01:30:20.5367486Z                4 BINARY_ADD
2022-11-23T01:30:20.5367560Z                6 RETURN_VALUE
2022-11-23T01:30:20.5367565Z 
2022-11-23T01:30:20.5367624Z  
2022-11-23T01:30:20.5367946Z [2022-11-23 01:28:09,704] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2204 
2022-11-23T01:30:20.5368054Z 2204           0 LOAD_GLOBAL              0 (__compiled_fn_405)
2022-11-23T01:30:20.5368142Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5368231Z                4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.5368319Z                6 CALL_FUNCTION            2
2022-11-23T01:30:20.5368399Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.5368472Z               10 RETURN_VALUE
2022-11-23T01:30:20.5368476Z 
2022-11-23T01:30:20.5368534Z  
2022-11-23T01:30:20.5368718Z [2022-11-23 01:28:09,704] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5368787Z  - 
2022-11-23T01:30:20.5368904Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:20.5368966Z             {
2022-11-23T01:30:20.5369096Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5369204Z                 'code': None,
2022-11-23T01:30:20.5369414Z                 'obj_weakref': <weakref at 0x7ff5a8c58180; to 'Tensor' at 0x7ff5a87a10d0>
2022-11-23T01:30:20.5369667Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5369729Z             }
2022-11-23T01:30:20.5369792Z             
2022-11-23T01:30:20.5369859Z  - 
2022-11-23T01:30:20.5369965Z             local 'y' TENSOR_MATCH
2022-11-23T01:30:20.5370027Z             {
2022-11-23T01:30:20.5370168Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5370273Z                 'code': None,
2022-11-23T01:30:20.5370525Z                 'obj_weakref': <weakref at 0x7ff58f9c03b0; to 'Tensor' at 0x7ff58ff1e5c0>
2022-11-23T01:30:20.5370799Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5370863Z             }
2022-11-23T01:30:20.5370913Z             
2022-11-23T01:30:20.5371173Z [2022-11-23 01:28:09,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 397
2022-11-23T01:30:20.5371547Z [2022-11-23 01:28:11,157] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4c/c4c6ymulcefjssbtvuwzdepjaeyea3wvemwtqs5covaww4dyhpvc.py
2022-11-23T01:30:20.5371811Z [2022-11-23 01:28:11,157] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 397
2022-11-23T01:30:20.5371817Z 
2022-11-23T01:30:20.5371912Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5371981Z import torch
2022-11-23T01:30:20.5372052Z import random
2022-11-23T01:30:20.5372165Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5372276Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5372294Z 
2022-11-23T01:30:20.5372359Z aten = torch.ops.aten
2022-11-23T01:30:20.5372491Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5372585Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5372589Z 
2022-11-23T01:30:20.5372594Z 
2022-11-23T01:30:20.5372729Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5372937Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5373057Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5373159Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.5373247Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.5373308Z {
2022-11-23T01:30:20.5373406Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5373468Z     {
2022-11-23T01:30:20.5373548Z         #pragma omp for 
2022-11-23T01:30:20.5373634Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5373695Z         {
2022-11-23T01:30:20.5373819Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.5373954Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.5374041Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5374134Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.5374197Z         }
2022-11-23T01:30:20.5374292Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.5374376Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:30:20.5374424Z         {
2022-11-23T01:30:20.5374508Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.5374588Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.5374671Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5374751Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.5374814Z         }
2022-11-23T01:30:20.5374876Z     }
2022-11-23T01:30:20.5374923Z }
2022-11-23T01:30:20.5375005Z ''')
2022-11-23T01:30:20.5375010Z 
2022-11-23T01:30:20.5375015Z 
2022-11-23T01:30:20.5375105Z async_compile.wait(globals())
2022-11-23T01:30:20.5375176Z del async_compile
2022-11-23T01:30:20.5375181Z 
2022-11-23T01:30:20.5375252Z def call(args):
2022-11-23T01:30:20.5375327Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.5375400Z     args.clear()
2022-11-23T01:30:20.5375600Z     buf0 = empty_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5375760Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.5375828Z     del arg0_1
2022-11-23T01:30:20.5375899Z     del arg1_1
2022-11-23T01:30:20.5375972Z     return (buf0, )
2022-11-23T01:30:20.5375977Z 
2022-11-23T01:30:20.5375981Z 
2022-11-23T01:30:20.5376054Z if __name__ == "__main__":
2022-11-23T01:30:20.5376167Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5376288Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5376726Z     arg0_1 = rand_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5376935Z     arg1_1 = rand_strided((4, 4, 4), (4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5377048Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.5377054Z 
2022-11-23T01:30:20.5377123Z ok (1.465s)
2022-11-23T01:30:20.5377257Z   test_triton_conv_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T01:30:20.5377564Z   test_triton_mm2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:11,203] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:30:20.5377879Z [2022-11-23 01:28:11,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2272
2022-11-23T01:30:20.5378098Z [2022-11-23 01:28:11,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5378466Z [2022-11-23 01:28:11,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5378799Z [2022-11-23 01:28:11,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5379256Z [2022-11-23 01:28:11,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5379678Z [2022-11-23 01:28:11,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5380124Z [2022-11-23 01:28:11,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5380611Z [2022-11-23 01:28:11,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TorchVariable(<built-in method mm of type object at 0x7ff5d7c59c60>), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5380964Z [2022-11-23 01:28:11,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5381212Z [2022-11-23 01:28:11,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.5381443Z [2022-11-23 01:28:11,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:30:20.5381686Z [2022-11-23 01:28:11,207] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.5381922Z [2022-11-23 01:28:11,211] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.5382108Z [2022-11-23 01:28:11,211] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5382239Z  __compiled_fn_406 <eval_with_key>.3250 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5382310Z placeholder, x, x, (), {}
2022-11-23T01:30:20.5382388Z placeholder, y, y, (), {}
2022-11-23T01:30:20.5382602Z call_function, mm, <built-in method mm of type object at 0x7ff5d7c59c60>, (x, y), {}
2022-11-23T01:30:20.5382820Z call_function, relu, <built-in method relu of type object at 0x7ff5d7c59c60>, (mm,), {}
2022-11-23T01:30:20.5382917Z output, output, output, ((relu,),), {}
2022-11-23T01:30:20.5382922Z 
2022-11-23T01:30:20.5383239Z [2022-11-23 01:28:11,211] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 
2022-11-23T01:30:20.5383403Z 2272           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5383496Z                2 LOAD_METHOD              1 (relu)
2022-11-23T01:30:20.5383576Z                4 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5383664Z                6 LOAD_METHOD              2 (mm)
2022-11-23T01:30:20.5383753Z                8 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5383841Z               10 LOAD_FAST                1 (y)
2022-11-23T01:30:20.5383926Z               12 CALL_METHOD              2
2022-11-23T01:30:20.5384010Z               14 CALL_METHOD              1
2022-11-23T01:30:20.5384086Z               16 RETURN_VALUE
2022-11-23T01:30:20.5384091Z 
2022-11-23T01:30:20.5384151Z  
2022-11-23T01:30:20.5384460Z [2022-11-23 01:28:11,211] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 2270 
2022-11-23T01:30:20.5384565Z 2270           0 LOAD_GLOBAL              3 (__compiled_fn_406)
2022-11-23T01:30:20.5384658Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5384744Z                4 LOAD_FAST                1 (y)
2022-11-23T01:30:20.5384832Z                6 CALL_FUNCTION            2
2022-11-23T01:30:20.5384922Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.5384996Z               10 RETURN_VALUE
2022-11-23T01:30:20.5385000Z 
2022-11-23T01:30:20.5385047Z  
2022-11-23T01:30:20.5385228Z [2022-11-23 01:28:11,212] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5385297Z  - 
2022-11-23T01:30:20.5385414Z             local 'x' TENSOR_MATCH
2022-11-23T01:30:20.5385480Z             {
2022-11-23T01:30:20.5385621Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5385727Z                 'code': None,
2022-11-23T01:30:20.5385928Z                 'obj_weakref': <weakref at 0x7ff58ff1fba0; to 'Tensor' at 0x7ff58ff646d0>
2022-11-23T01:30:20.5386178Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5386245Z             }
2022-11-23T01:30:20.5386307Z             
2022-11-23T01:30:20.5386375Z  - 
2022-11-23T01:30:20.5386493Z             local 'y' TENSOR_MATCH
2022-11-23T01:30:20.5386555Z             {
2022-11-23T01:30:20.5386683Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5386787Z                 'code': None,
2022-11-23T01:30:20.5386996Z                 'obj_weakref': <weakref at 0x7ff58ff1d9e0; to 'Tensor' at 0x7ff58ff65490>
2022-11-23T01:30:20.5387241Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5387302Z             }
2022-11-23T01:30:20.5387364Z             
2022-11-23T01:30:20.5387430Z  - 
2022-11-23T01:30:20.5387549Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5387612Z             {
2022-11-23T01:30:20.5387729Z                 'guard_types': None,
2022-11-23T01:30:20.5387833Z                 'code': None,
2022-11-23T01:30:20.5387954Z                 'obj_weakref': None
2022-11-23T01:30:20.5388071Z                 'guarded_class': None
2022-11-23T01:30:20.5388133Z             }
2022-11-23T01:30:20.5388183Z             
2022-11-23T01:30:20.5388442Z [2022-11-23 01:28:11,217] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 398
2022-11-23T01:30:20.5388800Z [2022-11-23 01:28:12,610] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lw/clw7ba3w3ajtc55ssbqjz5qzqswim5uz5kr5dgojmegwqsosshmh.py
2022-11-23T01:30:20.5389062Z [2022-11-23 01:28:12,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 398
2022-11-23T01:30:20.5389067Z 
2022-11-23T01:30:20.5389159Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5389227Z import torch
2022-11-23T01:30:20.5389294Z import random
2022-11-23T01:30:20.5389408Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5389515Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5389551Z 
2022-11-23T01:30:20.5389656Z aten = torch.ops.aten
2022-11-23T01:30:20.5389788Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5389879Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5389884Z 
2022-11-23T01:30:20.5389888Z 
2022-11-23T01:30:20.5390018Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5390224Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5390340Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:30:20.5390400Z {
2022-11-23T01:30:20.5390485Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5390545Z     {
2022-11-23T01:30:20.5390620Z         #pragma omp for 
2022-11-23T01:30:20.5390703Z         for(long i0=0; i0<131072; i0+=1)
2022-11-23T01:30:20.5390766Z         {
2022-11-23T01:30:20.5390902Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.5391030Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:30:20.5391115Z             tmp1.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.5391176Z         }
2022-11-23T01:30:20.5391270Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.5391360Z         for(long i0=1048576; i0<1048576; i0+=1)
2022-11-23T01:30:20.5391421Z         {
2022-11-23T01:30:20.5391508Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:30:20.5391595Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:30:20.5391664Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.5391724Z         }
2022-11-23T01:30:20.5391785Z     }
2022-11-23T01:30:20.5391845Z }
2022-11-23T01:30:20.5391923Z ''')
2022-11-23T01:30:20.5391928Z 
2022-11-23T01:30:20.5391932Z 
2022-11-23T01:30:20.5392019Z async_compile.wait(globals())
2022-11-23T01:30:20.5392089Z del async_compile
2022-11-23T01:30:20.5392094Z 
2022-11-23T01:30:20.5392151Z def call(args):
2022-11-23T01:30:20.5392226Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.5392294Z     args.clear()
2022-11-23T01:30:20.5392506Z     buf0 = empty_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5392598Z     aten.mm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T01:30:20.5392664Z     del arg0_1
2022-11-23T01:30:20.5392726Z     del arg1_1
2022-11-23T01:30:20.5392799Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:30:20.5392899Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.5392968Z     return (buf1, )
2022-11-23T01:30:20.5392973Z 
2022-11-23T01:30:20.5392978Z 
2022-11-23T01:30:20.5393051Z if __name__ == "__main__":
2022-11-23T01:30:20.5393163Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5393282Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5393488Z     arg0_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5393685Z     arg1_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5393786Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.5393884Z 
2022-11-23T01:30:20.5393939Z ok (1.465s)
2022-11-23T01:30:20.5394244Z   test_triu_cpu (__main__.CpuTests) ... [2022-11-23 01:28:12,629] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5394560Z [2022-11-23 01:28:12,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5394779Z [2022-11-23 01:28:12,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5395031Z [2022-11-23 01:28:12,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5395306Z [2022-11-23 01:28:12,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5395622Z [2022-11-23 01:28:12,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5396035Z [2022-11-23 01:28:12,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5396355Z [2022-11-23 01:28:12,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5396715Z [2022-11-23 01:28:12,630] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e1630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160> 
2022-11-23T01:30:20.5396809Z  3161           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5396900Z                2 LOAD_METHOD              1 (triu)
2022-11-23T01:30:20.5396988Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5397078Z                6 LOAD_CONST               1 (1)
2022-11-23T01:30:20.5397163Z                8 CALL_METHOD              2
2022-11-23T01:30:20.5397256Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5397344Z               12 LOAD_METHOD              1 (triu)
2022-11-23T01:30:20.5397418Z               14 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5397506Z               16 LOAD_CONST               2 (0)
2022-11-23T01:30:20.5397595Z               18 CALL_METHOD              2
2022-11-23T01:30:20.5397683Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5397771Z               22 LOAD_METHOD              1 (triu)
2022-11-23T01:30:20.5397856Z               24 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5397940Z               26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5398012Z               28 CALL_METHOD              2
2022-11-23T01:30:20.5398098Z               30 BUILD_TUPLE              3
2022-11-23T01:30:20.5398171Z               32 RETURN_VALUE
2022-11-23T01:30:20.5398232Z  
2022-11-23T01:30:20.5398237Z 
2022-11-23T01:30:20.5398552Z [2022-11-23 01:28:12,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3161
2022-11-23T01:30:20.5398768Z [2022-11-23 01:28:12,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5399071Z [2022-11-23 01:28:12,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5399317Z [2022-11-23 01:28:12,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.triu)]
2022-11-23T01:30:20.5399582Z [2022-11-23 01:28:12,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:30:20.5399899Z [2022-11-23 01:28:12,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5400140Z [2022-11-23 01:28:12,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.5400472Z [2022-11-23 01:28:12,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5400748Z [2022-11-23 01:28:12,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:30:20.5401050Z [2022-11-23 01:28:12,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:30:20.5401395Z [2022-11-23 01:28:12,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5401665Z [2022-11-23 01:28:12,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5402046Z [2022-11-23 01:28:12,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5402373Z [2022-11-23 01:28:12,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:30:20.5402700Z [2022-11-23 01:28:12,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:30:20.5403072Z [2022-11-23 01:28:12,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5403355Z [2022-11-23 01:28:12,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5403602Z [2022-11-23 01:28:12,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5403980Z [2022-11-23 01:28:12,654] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e1630, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3160>
2022-11-23T01:30:20.5404225Z [2022-11-23 01:28:12,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5404456Z [2022-11-23 01:28:12,654] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5404706Z [2022-11-23 01:28:12,655] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5404951Z [2022-11-23 01:28:12,660] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5405140Z [2022-11-23 01:28:12,660] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5405276Z  __compiled_fn_407 <eval_with_key>.3256 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5405354Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5405461Z call_function, triu, aten.triu, (ex_0_, 1), {}
2022-11-23T01:30:20.5405566Z call_function, triu_1, aten.triu, (ex_0_, 0), {}
2022-11-23T01:30:20.5405668Z call_function, triu_2, aten.triu, (ex_0_, 2), {}
2022-11-23T01:30:20.5405779Z output, output, output, ((triu, triu_1, triu_2),), {}
2022-11-23T01:30:20.5405785Z 
2022-11-23T01:30:20.5406104Z [2022-11-23 01:28:12,661] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5406194Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5406283Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5406355Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5406445Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5406529Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5406616Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5406690Z              12 RETURN_VALUE
2022-11-23T01:30:20.5406698Z 
2022-11-23T01:30:20.5406759Z  
2022-11-23T01:30:20.5407078Z [2022-11-23 01:28:12,661] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5407183Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_407)
2022-11-23T01:30:20.5407261Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5407349Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5407427Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5407514Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5407614Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5407712Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5407799Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5407862Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5407961Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5408105Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5408181Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5408279Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5408365Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5408438Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5408513Z              30 BUILD_TUPLE              3
2022-11-23T01:30:20.5408585Z              32 RETURN_VALUE
2022-11-23T01:30:20.5408591Z 
2022-11-23T01:30:20.5408650Z  
2022-11-23T01:30:20.5408830Z [2022-11-23 01:28:12,661] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5408899Z  - 
2022-11-23T01:30:20.5409016Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5409079Z             {
2022-11-23T01:30:20.5409205Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5409391Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5409510Z                 'obj_weakref': None
2022-11-23T01:30:20.5409739Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5409803Z             }
2022-11-23T01:30:20.5409864Z             
2022-11-23T01:30:20.5409932Z  - 
2022-11-23T01:30:20.5410042Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5410105Z             {
2022-11-23T01:30:20.5410245Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5410350Z                 'code': None,
2022-11-23T01:30:20.5410560Z                 'obj_weakref': <weakref at 0x7ff5a8503a10; to 'Tensor' at 0x7ff58fdf1670>
2022-11-23T01:30:20.5410811Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5410872Z             }
2022-11-23T01:30:20.5410922Z             
2022-11-23T01:30:20.5410992Z  - 
2022-11-23T01:30:20.5411120Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5411181Z             {
2022-11-23T01:30:20.5411318Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5411483Z                 'code': ['___check_obj_id(model, 140693063916352)'],
2022-11-23T01:30:20.5411602Z                 'obj_weakref': None
2022-11-23T01:30:20.5411817Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5411879Z             }
2022-11-23T01:30:20.5411945Z             
2022-11-23T01:30:20.5412016Z  - 
2022-11-23T01:30:20.5412137Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5412202Z             {
2022-11-23T01:30:20.5412337Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5412541Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5412659Z                 'obj_weakref': None
2022-11-23T01:30:20.5412880Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5412944Z             }
2022-11-23T01:30:20.5413009Z             
2022-11-23T01:30:20.5413082Z  - 
2022-11-23T01:30:20.5413214Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.5413264Z             {
2022-11-23T01:30:20.5413385Z                 'guard_types': None,
2022-11-23T01:30:20.5413492Z                 'code': None,
2022-11-23T01:30:20.5413609Z                 'obj_weakref': None
2022-11-23T01:30:20.5413731Z                 'guarded_class': None
2022-11-23T01:30:20.5413795Z             }
2022-11-23T01:30:20.5413857Z             
2022-11-23T01:30:20.5414106Z [2022-11-23 01:28:12,668] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 399
2022-11-23T01:30:20.5414469Z [2022-11-23 01:28:14,126] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ig/cig5r3p6t2f74cekrdvgw5zcmln54ytrgdrixxecvjw7j3iqo3gi.py
2022-11-23T01:30:20.5414734Z [2022-11-23 01:28:14,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 399
2022-11-23T01:30:20.5414740Z 
2022-11-23T01:30:20.5414902Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5414972Z import torch
2022-11-23T01:30:20.5415043Z import random
2022-11-23T01:30:20.5415160Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5415283Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5415288Z 
2022-11-23T01:30:20.5415352Z aten = torch.ops.aten
2022-11-23T01:30:20.5415487Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5415577Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5415582Z 
2022-11-23T01:30:20.5415587Z 
2022-11-23T01:30:20.5415723Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5415932Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5416054Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5416156Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5416254Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.5416340Z                        float* __restrict__ out_ptr2)
2022-11-23T01:30:20.5416402Z {
2022-11-23T01:30:20.5416626Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5416689Z     {
2022-11-23T01:30:20.5416781Z         #pragma omp for  collapse(2)
2022-11-23T01:30:20.5416863Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.5416929Z         {
2022-11-23T01:30:20.5417003Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.5417066Z             {
2022-11-23T01:30:20.5417151Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5417239Z                 for(long i2=0; i2<10; i2+=1)
2022-11-23T01:30:20.5417305Z                 {
2022-11-23T01:30:20.5417375Z                     {
2022-11-23T01:30:20.5417443Z                         {
2022-11-23T01:30:20.5417540Z                             auto tmp3 = in_ptr0[i2 + (10*i1) + (100*i0)];
2022-11-23T01:30:20.5417730Z                             auto tmp0 = static_cast<int>((-1) + i2 + ((-1)*i1));
2022-11-23T01:30:20.5417841Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:30:20.5417939Z                             auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:30:20.5418046Z                             auto tmp4 = static_cast<float>(0);
2022-11-23T01:30:20.5418149Z                             auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:30:20.5418325Z                             auto tmp6 = static_cast<int>(i2 + ((-1)*i1));
2022-11-23T01:30:20.5418409Z                             auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:30:20.5418510Z                             auto tmp8 = tmp7 ? tmp3 : tmp4;
2022-11-23T01:30:20.5418695Z                             auto tmp9 = static_cast<int>((-2) + i2 + ((-1)*i1));
2022-11-23T01:30:20.5418795Z                             auto tmp10 = tmp9 >= tmp1;
2022-11-23T01:30:20.5418898Z                             auto tmp11 = tmp10 ? tmp3 : tmp4;
2022-11-23T01:30:20.5419004Z                             out_ptr0[i2 + (10*i1) + (100*i0)] = tmp5;
2022-11-23T01:30:20.5419108Z                             out_ptr1[i2 + (10*i1) + (100*i0)] = tmp8;
2022-11-23T01:30:20.5419210Z                             out_ptr2[i2 + (10*i1) + (100*i0)] = tmp11;
2022-11-23T01:30:20.5419267Z                         }
2022-11-23T01:30:20.5419332Z                     }
2022-11-23T01:30:20.5419399Z                 }
2022-11-23T01:30:20.5419462Z             }
2022-11-23T01:30:20.5419522Z         }
2022-11-23T01:30:20.5419583Z     }
2022-11-23T01:30:20.5419630Z }
2022-11-23T01:30:20.5419705Z ''')
2022-11-23T01:30:20.5419710Z 
2022-11-23T01:30:20.5419714Z 
2022-11-23T01:30:20.5419803Z async_compile.wait(globals())
2022-11-23T01:30:20.5419874Z del async_compile
2022-11-23T01:30:20.5419879Z 
2022-11-23T01:30:20.5419947Z def call(args):
2022-11-23T01:30:20.5420015Z     arg0_1, = args
2022-11-23T01:30:20.5420084Z     args.clear()
2022-11-23T01:30:20.5420291Z     buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5420533Z     buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5420780Z     buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5420969Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:30:20.5421036Z     del arg0_1
2022-11-23T01:30:20.5421119Z     return (buf0, buf1, buf2, )
2022-11-23T01:30:20.5421124Z 
2022-11-23T01:30:20.5421128Z 
2022-11-23T01:30:20.5421203Z if __name__ == "__main__":
2022-11-23T01:30:20.5421317Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5421440Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5421635Z     arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5421743Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5421749Z 
2022-11-23T01:30:20.5421815Z ok (1.503s)
2022-11-23T01:30:20.5422122Z   test_unbind_cpu (__main__.CpuTests) ... [2022-11-23 01:28:14,131] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5422442Z [2022-11-23 01:28:14,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5422659Z [2022-11-23 01:28:14,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5422913Z [2022-11-23 01:28:14,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5423189Z [2022-11-23 01:28:14,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5423506Z [2022-11-23 01:28:14,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5428889Z [2022-11-23 01:28:14,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5429261Z [2022-11-23 01:28:14,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5429651Z [2022-11-23 01:28:14,132] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d110920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799> 
2022-11-23T01:30:20.5429756Z  1800           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5429851Z                2 LOAD_METHOD              1 (unbind)
2022-11-23T01:30:20.5429944Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5430035Z                6 CALL_METHOD              1
2022-11-23T01:30:20.5430129Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5430223Z               10 LOAD_METHOD              1 (unbind)
2022-11-23T01:30:20.5430299Z               12 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5430442Z               14 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5430529Z               16 CALL_METHOD              2
2022-11-23T01:30:20.5430617Z               18 BUILD_TUPLE              2
2022-11-23T01:30:20.5430692Z               20 RETURN_VALUE
2022-11-23T01:30:20.5430752Z  
2022-11-23T01:30:20.5430759Z 
2022-11-23T01:30:20.5431080Z [2022-11-23 01:28:14,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1800
2022-11-23T01:30:20.5431300Z [2022-11-23 01:28:14,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5431657Z [2022-11-23 01:28:14,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5432048Z [2022-11-23 01:28:14,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unbind of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5432438Z [2022-11-23 01:28:14,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method unbind of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5432682Z [2022-11-23 01:28:14,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()]
2022-11-23T01:30:20.5433077Z [2022-11-23 01:28:14,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TupleVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5433428Z [2022-11-23 01:28:14,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5433907Z [2022-11-23 01:28:14,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5434345Z [2022-11-23 01:28:14,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5434616Z [2022-11-23 01:28:14,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TupleVariable()]
2022-11-23T01:30:20.5434862Z [2022-11-23 01:28:14,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5435246Z [2022-11-23 01:28:14,139] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d110920, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1799>
2022-11-23T01:30:20.5435488Z [2022-11-23 01:28:14,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5435709Z [2022-11-23 01:28:14,140] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5435965Z [2022-11-23 01:28:14,142] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5436216Z [2022-11-23 01:28:14,149] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5436403Z [2022-11-23 01:28:14,149] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5436538Z  __compiled_fn_408 <eval_with_key>.3262 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5436628Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5436861Z call_function, unbind, <built-in method unbind of type object at 0x7ff5d7c59c60>, (ex_0_,), {}
2022-11-23T01:30:20.5437054Z call_function, getitem, <built-in function getitem>, (unbind, 0), {}
2022-11-23T01:30:20.5437233Z call_function, getitem_1, <built-in function getitem>, (unbind, 1), {}
2022-11-23T01:30:20.5437423Z call_function, getitem_2, <built-in function getitem>, (unbind, 2), {}
2022-11-23T01:30:20.5437617Z call_function, getitem_3, <built-in function getitem>, (unbind, 3), {}
2022-11-23T01:30:20.5437853Z call_function, unbind_1, <built-in method unbind of type object at 0x7ff5d7c59c60>, (ex_0_, -1), {}
2022-11-23T01:30:20.5438045Z call_function, getitem_4, <built-in function getitem>, (unbind_1, 0), {}
2022-11-23T01:30:20.5438236Z call_function, getitem_5, <built-in function getitem>, (unbind_1, 1), {}
2022-11-23T01:30:20.5438426Z call_function, getitem_6, <built-in function getitem>, (unbind_1, 2), {}
2022-11-23T01:30:20.5438617Z call_function, getitem_7, <built-in function getitem>, (unbind_1, 3), {}
2022-11-23T01:30:20.5438790Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7),), {}
2022-11-23T01:30:20.5438797Z 
2022-11-23T01:30:20.5439109Z [2022-11-23 01:28:14,150] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5439236Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5439357Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5439445Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5439539Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5439625Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5439712Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5439775Z              12 RETURN_VALUE
2022-11-23T01:30:20.5439793Z 
2022-11-23T01:30:20.5439841Z  
2022-11-23T01:30:20.5440164Z [2022-11-23 01:28:14,150] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5440272Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_408)
2022-11-23T01:30:20.5440362Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5440451Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5440530Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5440621Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5440712Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5440812Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5440901Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5440977Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5441077Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5441164Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5441241Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5441327Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5441415Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5441488Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5441585Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5441671Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5441752Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5441839Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.5441935Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5442010Z              40 LOAD_CONST               5 (4)
2022-11-23T01:30:20.5442084Z              42 BINARY_SUBSCR
2022-11-23T01:30:20.5442181Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5442267Z              46 LOAD_CONST               6 (5)
2022-11-23T01:30:20.5442340Z              48 BINARY_SUBSCR
2022-11-23T01:30:20.5442439Z              50 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5442525Z              52 LOAD_CONST               7 (6)
2022-11-23T01:30:20.5442587Z              54 BINARY_SUBSCR
2022-11-23T01:30:20.5442685Z              56 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5442772Z              58 LOAD_CONST               8 (7)
2022-11-23T01:30:20.5442846Z              60 BINARY_SUBSCR
2022-11-23T01:30:20.5442937Z              62 BUILD_TUPLE              4
2022-11-23T01:30:20.5443023Z              64 BUILD_TUPLE              2
2022-11-23T01:30:20.5443096Z              66 RETURN_VALUE
2022-11-23T01:30:20.5443101Z 
2022-11-23T01:30:20.5443149Z  
2022-11-23T01:30:20.5443329Z [2022-11-23 01:28:14,151] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5443399Z  - 
2022-11-23T01:30:20.5443518Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5443583Z             {
2022-11-23T01:30:20.5443725Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5443910Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5444017Z                 'obj_weakref': None
2022-11-23T01:30:20.5444240Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5444304Z             }
2022-11-23T01:30:20.5444367Z             
2022-11-23T01:30:20.5444435Z  - 
2022-11-23T01:30:20.5444557Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5444701Z             {
2022-11-23T01:30:20.5444831Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5444938Z                 'code': None,
2022-11-23T01:30:20.5445149Z                 'obj_weakref': <weakref at 0x7ff59c062890; to 'Tensor' at 0x7ff57ff31b20>
2022-11-23T01:30:20.5445401Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5445462Z             }
2022-11-23T01:30:20.5445525Z             
2022-11-23T01:30:20.5445593Z  - 
2022-11-23T01:30:20.5445711Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5445773Z             {
2022-11-23T01:30:20.5445908Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5446079Z                 'code': ['___check_obj_id(model, 140693063917216)'],
2022-11-23T01:30:20.5446197Z                 'obj_weakref': None
2022-11-23T01:30:20.5446427Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5446492Z             }
2022-11-23T01:30:20.5446542Z             
2022-11-23T01:30:20.5446611Z  - 
2022-11-23T01:30:20.5446731Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5446795Z             {
2022-11-23T01:30:20.5446931Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5447145Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5447262Z                 'obj_weakref': None
2022-11-23T01:30:20.5447469Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5447533Z             }
2022-11-23T01:30:20.5447593Z             
2022-11-23T01:30:20.5447661Z  - 
2022-11-23T01:30:20.5447796Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5447858Z             {
2022-11-23T01:30:20.5447976Z                 'guard_types': None,
2022-11-23T01:30:20.5448068Z                 'code': None,
2022-11-23T01:30:20.5448189Z                 'obj_weakref': None
2022-11-23T01:30:20.5448310Z                 'guarded_class': None
2022-11-23T01:30:20.5448373Z             }
2022-11-23T01:30:20.5448435Z             
2022-11-23T01:30:20.5448696Z [2022-11-23 01:28:14,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 400
2022-11-23T01:30:20.5449066Z [2022-11-23 01:28:14,167] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm2vcwssqzdyg72fooo5jhcoqpfvhrsbx4rwk5brao54guvo4kod.py
2022-11-23T01:30:20.5449316Z [2022-11-23 01:28:14,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 400
2022-11-23T01:30:20.5449334Z 
2022-11-23T01:30:20.5449415Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5449482Z import torch
2022-11-23T01:30:20.5449553Z import random
2022-11-23T01:30:20.5449669Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5449789Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5449798Z 
2022-11-23T01:30:20.5449876Z aten = torch.ops.aten
2022-11-23T01:30:20.5450008Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5450087Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5450091Z 
2022-11-23T01:30:20.5450112Z 
2022-11-23T01:30:20.5450186Z async_compile.wait(globals())
2022-11-23T01:30:20.5450257Z del async_compile
2022-11-23T01:30:20.5450262Z 
2022-11-23T01:30:20.5450333Z def call(args):
2022-11-23T01:30:20.5450401Z     arg0_1, = args
2022-11-23T01:30:20.5450470Z     args.clear()
2022-11-23T01:30:20.5450744Z     return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), )
2022-11-23T01:30:20.5450750Z 
2022-11-23T01:30:20.5450754Z 
2022-11-23T01:30:20.5450828Z if __name__ == "__main__":
2022-11-23T01:30:20.5450997Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5451109Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5451321Z     arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5451428Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5451433Z 
2022-11-23T01:30:20.5451499Z ok (0.041s)
2022-11-23T01:30:20.5451827Z   test_unroll_small_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:28:14,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5452142Z [2022-11-23 01:28:14,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5452360Z [2022-11-23 01:28:14,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5452614Z [2022-11-23 01:28:14,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5452893Z [2022-11-23 01:28:14,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5453200Z [2022-11-23 01:28:14,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5453543Z [2022-11-23 01:28:14,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5453866Z [2022-11-23 01:28:14,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5454234Z [2022-11-23 01:28:14,173] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19a080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T01:30:20.5454330Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5454429Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:30:20.5454566Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5454655Z               6 CALL_METHOD              1
2022-11-23T01:30:20.5454746Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:30:20.5454825Z              10 STORE_FAST               1 (val1)
2022-11-23T01:30:20.5454920Z              12 STORE_FAST               2 (index1)
2022-11-23T01:30:20.5454925Z 
2022-11-23T01:30:20.5455014Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5455103Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:30:20.5455235Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5455319Z              20 CALL_METHOD              1
2022-11-23T01:30:20.5455409Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:30:20.5455485Z              24 STORE_FAST               3 (val2)
2022-11-23T01:30:20.5455579Z              26 STORE_FAST               4 (index2)
2022-11-23T01:30:20.5455585Z 
2022-11-23T01:30:20.5455674Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:30:20.5455679Z 
2022-11-23T01:30:20.5455769Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:30:20.5455773Z 
2022-11-23T01:30:20.5455860Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:30:20.5455865Z 
2022-11-23T01:30:20.5455956Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:30:20.5455960Z 
2022-11-23T01:30:20.5456048Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5456140Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:30:20.5456277Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5456349Z              42 CALL_METHOD              1
2022-11-23T01:30:20.5456354Z 
2022-11-23T01:30:20.5456653Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5456744Z              46 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5456885Z              48 COMPARE_OP               4 (>)
2022-11-23T01:30:20.5457012Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:30:20.5457150Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5457235Z              54 CALL_METHOD              1
2022-11-23T01:30:20.5457240Z 
2022-11-23T01:30:20.5457328Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5457402Z              58 LOAD_CONST               3 (0)
2022-11-23T01:30:20.5457491Z              60 COMPARE_OP               4 (>)
2022-11-23T01:30:20.5457582Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:30:20.5457717Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5457803Z              66 CALL_METHOD              1
2022-11-23T01:30:20.5457807Z 
2022-11-23T01:30:20.5457896Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5457988Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:30:20.5458106Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5458196Z              74 CALL_METHOD              1
2022-11-23T01:30:20.5458201Z 
2022-11-23T01:30:20.5458289Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5458380Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:30:20.5458515Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5458599Z              82 CALL_METHOD              1
2022-11-23T01:30:20.5458604Z 
2022-11-23T01:30:20.5458691Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5458782Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:30:20.5458901Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5458987Z              90 CALL_METHOD              1
2022-11-23T01:30:20.5458992Z 
2022-11-23T01:30:20.5459076Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5459167Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:30:20.5459300Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5459388Z              98 CALL_METHOD              1
2022-11-23T01:30:20.5459392Z 
2022-11-23T01:30:20.5459476Z 806         100 BUILD_TUPLE             11
2022-11-23T01:30:20.5459551Z             102 RETURN_VALUE
2022-11-23T01:30:20.5459600Z  
2022-11-23T01:30:20.5459605Z 
2022-11-23T01:30:20.5459925Z [2022-11-23 01:28:14,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T01:30:20.5460135Z [2022-11-23 01:28:14,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.5460378Z [2022-11-23 01:28:14,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:30:20.5460654Z [2022-11-23 01:28:14,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:30:20.5460968Z [2022-11-23 01:28:14,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:30:20.5461231Z [2022-11-23 01:28:14,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:30:20.5461498Z [2022-11-23 01:28:14,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5461744Z [2022-11-23 01:28:14,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:30:20.5462043Z [2022-11-23 01:28:14,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T01:30:20.5462250Z [2022-11-23 01:28:14,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.5462486Z [2022-11-23 01:28:14,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:30:20.5462757Z [2022-11-23 01:28:14,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:30:20.5463143Z [2022-11-23 01:28:14,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:30:20.5463399Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:30:20.5463666Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5463910Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:30:20.5464218Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T01:30:20.5464428Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:30:20.5464726Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T01:30:20.5464971Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:30:20.5465278Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T01:30:20.5465543Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5465848Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T01:30:20.5466146Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5466452Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T01:30:20.5466769Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5467116Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5467503Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.5467932Z [2022-11-23 01:28:14,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.5468243Z [2022-11-23 01:28:14,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T01:30:20.5468574Z [2022-11-23 01:28:14,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5468946Z [2022-11-23 01:28:14,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5469362Z [2022-11-23 01:28:14,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5469736Z [2022-11-23 01:28:14,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5470178Z [2022-11-23 01:28:14,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:30:20.5470661Z [2022-11-23 01:28:14,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:30:20.5470974Z [2022-11-23 01:28:14,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T01:30:20.5471343Z [2022-11-23 01:28:14,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5471749Z [2022-11-23 01:28:14,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5472199Z [2022-11-23 01:28:14,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5472607Z [2022-11-23 01:28:14,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5473050Z [2022-11-23 01:28:14,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:30:20.5473536Z [2022-11-23 01:28:14,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:30:20.5473916Z [2022-11-23 01:28:14,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T01:30:20.5474322Z [2022-11-23 01:28:14,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5474764Z [2022-11-23 01:28:14,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5475234Z [2022-11-23 01:28:14,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:30:20.5477034Z [2022-11-23 01:28:14,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:30:20.5477369Z [2022-11-23 01:28:14,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T01:30:20.5477807Z [2022-11-23 01:28:14,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5478275Z [2022-11-23 01:28:14,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5478819Z [2022-11-23 01:28:14,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:30:20.5479395Z [2022-11-23 01:28:14,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:30:20.5479710Z [2022-11-23 01:28:14,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T01:30:20.5480169Z [2022-11-23 01:28:14,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5480666Z [2022-11-23 01:28:14,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5481195Z [2022-11-23 01:28:14,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:30:20.5481761Z [2022-11-23 01:28:14,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:30:20.5482076Z [2022-11-23 01:28:14,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T01:30:20.5482563Z [2022-11-23 01:28:14,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5483079Z [2022-11-23 01:28:14,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5483642Z [2022-11-23 01:28:14,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:30:20.5484276Z [2022-11-23 01:28:14,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:30:20.5484591Z [2022-11-23 01:28:14,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T01:30:20.5485114Z [2022-11-23 01:28:14,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5485391Z [2022-11-23 01:28:14,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5485770Z [2022-11-23 01:28:14,187] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19a080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T01:30:20.5486016Z [2022-11-23 01:28:14,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5486252Z [2022-11-23 01:28:14,187] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5486489Z [2022-11-23 01:28:14,189] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5486736Z [2022-11-23 01:28:14,196] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5486923Z [2022-11-23 01:28:14,196] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5487059Z  __compiled_fn_409 <eval_with_key>.3268 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5487148Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5487282Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:30:20.5487468Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:30:20.5487655Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:30:20.5487775Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:30:20.5487963Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:30:20.5488148Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:30:20.5488279Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:30:20.5488446Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:30:20.5488574Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:30:20.5488743Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:30:20.5488861Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:30:20.5489004Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:30:20.5489143Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:30:20.5489275Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:30:20.5489407Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:30:20.5489588Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:30:20.5489596Z 
2022-11-23T01:30:20.5489925Z [2022-11-23 01:28:14,197] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5490019Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5490108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5490181Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5490272Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5490359Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5490447Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5490521Z              12 RETURN_VALUE
2022-11-23T01:30:20.5490527Z 
2022-11-23T01:30:20.5490586Z  
2022-11-23T01:30:20.5490943Z [2022-11-23 01:28:14,197] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5491041Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_409)
2022-11-23T01:30:20.5491131Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5491220Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5491297Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5491385Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5491488Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5491589Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5491692Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5491769Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5491869Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5491956Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5492032Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5492132Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5492220Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5492294Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5492380Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5492467Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5492542Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5492641Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5492726Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.5492799Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.5492899Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5492973Z              44 LOAD_CONST               6 (5)
2022-11-23T01:30:20.5493046Z              46 BINARY_SUBSCR
2022-11-23T01:30:20.5493143Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5493229Z              50 LOAD_CONST               7 (6)
2022-11-23T01:30:20.5493305Z              52 BINARY_SUBSCR
2022-11-23T01:30:20.5493402Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5493488Z              56 LOAD_CONST               8 (7)
2022-11-23T01:30:20.5493549Z              58 BINARY_SUBSCR
2022-11-23T01:30:20.5493646Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5493732Z              62 LOAD_CONST               9 (8)
2022-11-23T01:30:20.5493805Z              64 BINARY_SUBSCR
2022-11-23T01:30:20.5493903Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5493989Z              68 LOAD_CONST              10 (9)
2022-11-23T01:30:20.5494064Z              70 BINARY_SUBSCR
2022-11-23T01:30:20.5494148Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5494239Z              74 LOAD_CONST              11 (10)
2022-11-23T01:30:20.5494312Z              76 BINARY_SUBSCR
2022-11-23T01:30:20.5494402Z              78 BUILD_TUPLE             11
2022-11-23T01:30:20.5494475Z              80 RETURN_VALUE
2022-11-23T01:30:20.5494481Z 
2022-11-23T01:30:20.5494541Z  
2022-11-23T01:30:20.5494726Z [2022-11-23 01:28:14,198] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5494782Z  - 
2022-11-23T01:30:20.5494899Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5494962Z             {
2022-11-23T01:30:20.5495102Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5495287Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5495405Z                 'obj_weakref': None
2022-11-23T01:30:20.5495632Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5495684Z             }
2022-11-23T01:30:20.5495746Z             
2022-11-23T01:30:20.5495814Z  - 
2022-11-23T01:30:20.5495938Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5496001Z             {
2022-11-23T01:30:20.5496173Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5496280Z                 'code': None,
2022-11-23T01:30:20.5496600Z                 'obj_weakref': <weakref at 0x7ff58ff1d3a0; to 'Tensor' at 0x7ff5a98c6e80>
2022-11-23T01:30:20.5496857Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5496921Z             }
2022-11-23T01:30:20.5496984Z             
2022-11-23T01:30:20.5497054Z  - 
2022-11-23T01:30:20.5497184Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5497248Z             {
2022-11-23T01:30:20.5497368Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5497583Z                 'code': ['___check_obj_id(model, 140692652638992)'],
2022-11-23T01:30:20.5497702Z                 'obj_weakref': None
2022-11-23T01:30:20.5497930Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5497994Z             }
2022-11-23T01:30:20.5498059Z             
2022-11-23T01:30:20.5498127Z  - 
2022-11-23T01:30:20.5498235Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5498298Z             {
2022-11-23T01:30:20.5498434Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5498650Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5498768Z                 'obj_weakref': None
2022-11-23T01:30:20.5498987Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5499050Z             }
2022-11-23T01:30:20.5499100Z             
2022-11-23T01:30:20.5499364Z [2022-11-23 01:28:14,212] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 401
2022-11-23T01:30:20.5499734Z [2022-11-23 01:28:15,679] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/va/cva2lysbggsvrhvn6g3bxk5k4fgzwr7ip2zslumfyfrpfmv74ugn.py
2022-11-23T01:30:20.5499999Z [2022-11-23 01:28:15,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 401
2022-11-23T01:30:20.5500235Z [2022-11-23 01:28:15,685] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5500548Z [2022-11-23 01:28:15,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5500763Z [2022-11-23 01:28:15,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5501016Z [2022-11-23 01:28:15,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5501296Z [2022-11-23 01:28:15,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5501617Z [2022-11-23 01:28:15,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5501950Z [2022-11-23 01:28:15,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5502269Z [2022-11-23 01:28:15,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5502641Z [2022-11-23 01:28:15,686] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d19a080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803> 
2022-11-23T01:30:20.5502732Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5502831Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:30:20.5502968Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5503056Z               6 CALL_METHOD              1
2022-11-23T01:30:20.5503146Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:30:20.5503226Z              10 STORE_FAST               1 (val1)
2022-11-23T01:30:20.5503363Z              12 STORE_FAST               2 (index1)
2022-11-23T01:30:20.5503369Z 
2022-11-23T01:30:20.5503458Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5503550Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:30:20.5503685Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5503770Z              20 CALL_METHOD              1
2022-11-23T01:30:20.5503859Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:30:20.5503949Z              24 STORE_FAST               3 (val2)
2022-11-23T01:30:20.5504028Z              26 STORE_FAST               4 (index2)
2022-11-23T01:30:20.5504058Z 
2022-11-23T01:30:20.5504148Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:30:20.5504153Z 
2022-11-23T01:30:20.5504242Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:30:20.5504247Z 
2022-11-23T01:30:20.5504333Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:30:20.5504338Z 
2022-11-23T01:30:20.5504429Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:30:20.5504434Z 
2022-11-23T01:30:20.5504522Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5504613Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:30:20.5504748Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5504834Z              42 CALL_METHOD              1
2022-11-23T01:30:20.5504839Z 
2022-11-23T01:30:20.5504913Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5505001Z              46 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5505092Z              48 COMPARE_OP               4 (>)
2022-11-23T01:30:20.5505185Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:30:20.5505320Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5505405Z              54 CALL_METHOD              1
2022-11-23T01:30:20.5505409Z 
2022-11-23T01:30:20.5505496Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5505571Z              58 LOAD_CONST               3 (0)
2022-11-23T01:30:20.5505659Z              60 COMPARE_OP               4 (>)
2022-11-23T01:30:20.5505751Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:30:20.5505883Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5505967Z              66 CALL_METHOD              1
2022-11-23T01:30:20.5505971Z 
2022-11-23T01:30:20.5506057Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5506149Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:30:20.5506280Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5506351Z              74 CALL_METHOD              1
2022-11-23T01:30:20.5506358Z 
2022-11-23T01:30:20.5506444Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5506534Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:30:20.5506666Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5506749Z              82 CALL_METHOD              1
2022-11-23T01:30:20.5506756Z 
2022-11-23T01:30:20.5506840Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5506931Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:30:20.5507065Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5507138Z              90 CALL_METHOD              1
2022-11-23T01:30:20.5507143Z 
2022-11-23T01:30:20.5507229Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:30:20.5507320Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:30:20.5507453Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.5507538Z              98 CALL_METHOD              1
2022-11-23T01:30:20.5507544Z 
2022-11-23T01:30:20.5507629Z 806         100 BUILD_TUPLE             11
2022-11-23T01:30:20.5507705Z             102 RETURN_VALUE
2022-11-23T01:30:20.5507753Z  
2022-11-23T01:30:20.5507770Z 
2022-11-23T01:30:20.5508114Z [2022-11-23 01:28:15,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:804
2022-11-23T01:30:20.5508329Z [2022-11-23 01:28:15,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.5508569Z [2022-11-23 01:28:15,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:30:20.5508847Z [2022-11-23 01:28:15,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:30:20.5509158Z [2022-11-23 01:28:15,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:30:20.5509444Z [2022-11-23 01:28:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:30:20.5509713Z [2022-11-23 01:28:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5509960Z [2022-11-23 01:28:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:30:20.5510273Z [2022-11-23 01:28:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:805
2022-11-23T01:30:20.5510464Z [2022-11-23 01:28:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.5510704Z [2022-11-23 01:28:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:30:20.5510979Z [2022-11-23 01:28:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:30:20.5511292Z [2022-11-23 01:28:15,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:30:20.5511552Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:30:20.5511821Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5512064Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:30:20.5512373Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:807
2022-11-23T01:30:20.5512586Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:30:20.5512896Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:808
2022-11-23T01:30:20.5513130Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:30:20.5513439Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:809
2022-11-23T01:30:20.5513707Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5514094Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:810
2022-11-23T01:30:20.5514396Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5514704Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:811
2022-11-23T01:30:20.5515026Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5515409Z [2022-11-23 01:28:15,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5515798Z [2022-11-23 01:28:15,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:30:20.5516225Z [2022-11-23 01:28:15,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:30:20.5516538Z [2022-11-23 01:28:15,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:812
2022-11-23T01:30:20.5516912Z [2022-11-23 01:28:15,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5517275Z [2022-11-23 01:28:15,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5517695Z [2022-11-23 01:28:15,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5518071Z [2022-11-23 01:28:15,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5518485Z [2022-11-23 01:28:15,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:30:20.5518947Z [2022-11-23 01:28:15,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:30:20.5519257Z [2022-11-23 01:28:15,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:813
2022-11-23T01:30:20.5519630Z [2022-11-23 01:28:15,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5520034Z [2022-11-23 01:28:15,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5520481Z [2022-11-23 01:28:15,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5520886Z [2022-11-23 01:28:15,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5521326Z [2022-11-23 01:28:15,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:30:20.5521808Z [2022-11-23 01:28:15,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:30:20.5522121Z [2022-11-23 01:28:15,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:814
2022-11-23T01:30:20.5522555Z [2022-11-23 01:28:15,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5523000Z [2022-11-23 01:28:15,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5523478Z [2022-11-23 01:28:15,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:30:20.5524016Z [2022-11-23 01:28:15,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:30:20.5524317Z [2022-11-23 01:28:15,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:815
2022-11-23T01:30:20.5524744Z [2022-11-23 01:28:15,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5525208Z [2022-11-23 01:28:15,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5525715Z [2022-11-23 01:28:15,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:30:20.5526265Z [2022-11-23 01:28:15,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:30:20.5526575Z [2022-11-23 01:28:15,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:816
2022-11-23T01:30:20.5527033Z [2022-11-23 01:28:15,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5527534Z [2022-11-23 01:28:15,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5528058Z [2022-11-23 01:28:15,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:30:20.5528628Z [2022-11-23 01:28:15,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:30:20.5528940Z [2022-11-23 01:28:15,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:817
2022-11-23T01:30:20.5529456Z [2022-11-23 01:28:15,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5529980Z [2022-11-23 01:28:15,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5530537Z [2022-11-23 01:28:15,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:30:20.5531162Z [2022-11-23 01:28:15,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:30:20.5531473Z [2022-11-23 01:28:15,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:806
2022-11-23T01:30:20.5531994Z [2022-11-23 01:28:15,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5532243Z [2022-11-23 01:28:15,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5532619Z [2022-11-23 01:28:15,707] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d19a080, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 803>
2022-11-23T01:30:20.5532865Z [2022-11-23 01:28:15,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5533099Z [2022-11-23 01:28:15,707] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5533340Z [2022-11-23 01:28:15,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5533588Z [2022-11-23 01:28:15,719] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5533775Z [2022-11-23 01:28:15,719] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5533909Z  __compiled_fn_410 <eval_with_key>.3274 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5534002Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5534135Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:30:20.5534322Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:30:20.5534510Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:30:20.5534631Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:30:20.5534817Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:30:20.5534997Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:30:20.5535127Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:30:20.5535295Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:30:20.5535423Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:30:20.5535590Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:30:20.5535707Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:30:20.5535852Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:30:20.5535992Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:30:20.5536126Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:30:20.5536257Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:30:20.5536608Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:30:20.5536616Z 
2022-11-23T01:30:20.5536950Z [2022-11-23 01:28:15,720] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5537045Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5537123Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5537210Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5537302Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5537388Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5537514Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5537590Z              12 RETURN_VALUE
2022-11-23T01:30:20.5537596Z 
2022-11-23T01:30:20.5537656Z  
2022-11-23T01:30:20.5537968Z [2022-11-23 01:28:15,720] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5538078Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_410)
2022-11-23T01:30:20.5538169Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5538259Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5538336Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5538424Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5538526Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5538625Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5538700Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5538780Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5538880Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5538968Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5539043Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5539142Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5539229Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5539291Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5539391Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5539479Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5539553Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5539651Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5539736Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.5539810Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.5539897Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5539986Z              44 LOAD_CONST               6 (5)
2022-11-23T01:30:20.5540060Z              46 BINARY_SUBSCR
2022-11-23T01:30:20.5540157Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5540245Z              50 LOAD_CONST               7 (6)
2022-11-23T01:30:20.5540321Z              52 BINARY_SUBSCR
2022-11-23T01:30:20.5540420Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5540495Z              56 LOAD_CONST               8 (7)
2022-11-23T01:30:20.5540569Z              58 BINARY_SUBSCR
2022-11-23T01:30:20.5540667Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5540753Z              62 LOAD_CONST               9 (8)
2022-11-23T01:30:20.5540826Z              64 BINARY_SUBSCR
2022-11-23T01:30:20.5540923Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5541008Z              68 LOAD_CONST              10 (9)
2022-11-23T01:30:20.5541072Z              70 BINARY_SUBSCR
2022-11-23T01:30:20.5541168Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5541254Z              74 LOAD_CONST              11 (10)
2022-11-23T01:30:20.5541328Z              76 BINARY_SUBSCR
2022-11-23T01:30:20.5541416Z              78 BUILD_TUPLE             11
2022-11-23T01:30:20.5541517Z              80 RETURN_VALUE
2022-11-23T01:30:20.5541523Z 
2022-11-23T01:30:20.5541584Z  
2022-11-23T01:30:20.5541767Z [2022-11-23 01:28:15,720] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5541824Z  - 
2022-11-23T01:30:20.5541942Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5542005Z             {
2022-11-23T01:30:20.5542146Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5542332Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5542449Z                 'obj_weakref': None
2022-11-23T01:30:20.5542674Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5542755Z             }
2022-11-23T01:30:20.5542818Z             
2022-11-23T01:30:20.5542887Z  - 
2022-11-23T01:30:20.5543010Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5543072Z             {
2022-11-23T01:30:20.5543214Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5543322Z                 'code': None,
2022-11-23T01:30:20.5543522Z                 'obj_weakref': <weakref at 0x7ff57ee59530; to 'Tensor' at 0x7ff5a98c6e80>
2022-11-23T01:30:20.5543774Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5543838Z             }
2022-11-23T01:30:20.5543900Z             
2022-11-23T01:30:20.5543968Z  - 
2022-11-23T01:30:20.5544100Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5544161Z             {
2022-11-23T01:30:20.5544283Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5544449Z                 'code': ['___check_obj_id(model, 140692652638992)'],
2022-11-23T01:30:20.5544568Z                 'obj_weakref': None
2022-11-23T01:30:20.5544798Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5544861Z             }
2022-11-23T01:30:20.5544923Z             
2022-11-23T01:30:20.5544990Z  - 
2022-11-23T01:30:20.5545101Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5545163Z             {
2022-11-23T01:30:20.5545300Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5545515Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5545631Z                 'obj_weakref': None
2022-11-23T01:30:20.5545851Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5545913Z             }
2022-11-23T01:30:20.5545962Z             
2022-11-23T01:30:20.5546221Z [2022-11-23 01:28:15,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 402
2022-11-23T01:30:20.5546228Z 
2022-11-23T01:30:20.5546323Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5546391Z import torch
2022-11-23T01:30:20.5546459Z import random
2022-11-23T01:30:20.5546573Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5546695Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5546700Z 
2022-11-23T01:30:20.5546765Z aten = torch.ops.aten
2022-11-23T01:30:20.5546897Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5546989Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5546994Z 
2022-11-23T01:30:20.5546998Z 
2022-11-23T01:30:20.5547131Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5547336Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5547455Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5547557Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5547653Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:20.5547735Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.5547827Z                        long* __restrict__ out_ptr3,
2022-11-23T01:30:20.5547921Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:20.5548062Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:30:20.5548156Z                        bool* __restrict__ out_ptr6,
2022-11-23T01:30:20.5548246Z                        long* __restrict__ out_ptr7,
2022-11-23T01:30:20.5548336Z                        long* __restrict__ out_ptr8,
2022-11-23T01:30:20.5548430Z                        float* __restrict__ out_ptr9,
2022-11-23T01:30:20.5548518Z                        float* __restrict__ out_ptr10)
2022-11-23T01:30:20.5548579Z {
2022-11-23T01:30:20.5548675Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5548736Z     {
2022-11-23T01:30:20.5548840Z         #pragma omp for 
2022-11-23T01:30:20.5548922Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5548972Z         {
2022-11-23T01:30:20.5549035Z             {
2022-11-23T01:30:20.5549099Z                 {
2022-11-23T01:30:20.5549194Z                     auto tmp0 = in_ptr0[3*i0];
2022-11-23T01:30:20.5549293Z                     auto tmp1 = in_ptr0[1 + (3*i0)];
2022-11-23T01:30:20.5549387Z                     auto tmp3 = in_ptr0[2 + (3*i0)];
2022-11-23T01:30:20.5549510Z                     auto tmp2 = std::min(tmp0, tmp1);
2022-11-23T01:30:20.5549597Z                     auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:30:20.5549694Z                     auto tmp5 = static_cast<long>(0);
2022-11-23T01:30:20.5549790Z                     auto tmp6 = static_cast<long>(1);
2022-11-23T01:30:20.5549882Z                     auto tmp7 = tmp1 < tmp0;
2022-11-23T01:30:20.5549975Z                     auto tmp8 = tmp7 ? tmp6 : tmp5;
2022-11-23T01:30:20.5550074Z                     auto tmp9 = static_cast<long>(2);
2022-11-23T01:30:20.5550168Z                     auto tmp10 = tmp3 < tmp2;
2022-11-23T01:30:20.5550262Z                     auto tmp11 = tmp10 ? tmp9 : tmp8;
2022-11-23T01:30:20.5550352Z                     auto tmp12 = std::max(tmp0, tmp1);
2022-11-23T01:30:20.5550454Z                     auto tmp13 = std::max(tmp12, tmp3);
2022-11-23T01:30:20.5550546Z                     auto tmp14 = tmp1 > tmp0;
2022-11-23T01:30:20.5550641Z                     auto tmp15 = tmp14 ? tmp6 : tmp5;
2022-11-23T01:30:20.5550732Z                     auto tmp16 = tmp3 > tmp12;
2022-11-23T01:30:20.5550830Z                     auto tmp17 = tmp16 ? tmp9 : tmp15;
2022-11-23T01:30:20.5550919Z                     auto tmp18 = tmp0 + tmp1;
2022-11-23T01:30:20.5550996Z                     auto tmp19 = tmp18 + tmp3;
2022-11-23T01:30:20.5551099Z                     auto tmp20 = static_cast<float>(1);
2022-11-23T01:30:20.5551189Z                     auto tmp21 = tmp0 > tmp20;
2022-11-23T01:30:20.5551295Z                     auto tmp22 = static_cast<long>(tmp21);
2022-11-23T01:30:20.5551406Z                     auto tmp23 = static_cast<bool>(tmp22);
2022-11-23T01:30:20.5551495Z                     auto tmp24 = tmp1 > tmp20;
2022-11-23T01:30:20.5551603Z                     auto tmp25 = static_cast<long>(tmp24);
2022-11-23T01:30:20.5551708Z                     auto tmp26 = static_cast<bool>(tmp25);
2022-11-23T01:30:20.5551790Z                     auto tmp27 = tmp23 || tmp26;
2022-11-23T01:30:20.5551881Z                     auto tmp28 = tmp3 > tmp20;
2022-11-23T01:30:20.5551985Z                     auto tmp29 = static_cast<long>(tmp28);
2022-11-23T01:30:20.5552086Z                     auto tmp30 = static_cast<bool>(tmp29);
2022-11-23T01:30:20.5552179Z                     auto tmp31 = tmp27 || tmp30;
2022-11-23T01:30:20.5552278Z                     auto tmp32 = static_cast<float>(0);
2022-11-23T01:30:20.5552367Z                     auto tmp33 = tmp0 > tmp32;
2022-11-23T01:30:20.5552443Z                     auto tmp34 = tmp33 == 0;
2022-11-23T01:30:20.5552549Z                     auto tmp35 = static_cast<long>(tmp34);
2022-11-23T01:30:20.5552651Z                     auto tmp36 = static_cast<bool>(tmp35);
2022-11-23T01:30:20.5552740Z                     auto tmp37 = tmp1 > tmp32;
2022-11-23T01:30:20.5552829Z                     auto tmp38 = tmp37 == 0;
2022-11-23T01:30:20.5552971Z                     auto tmp39 = static_cast<long>(tmp38);
2022-11-23T01:30:20.5553074Z                     auto tmp40 = static_cast<bool>(tmp39);
2022-11-23T01:30:20.5553155Z                     auto tmp41 = tmp36 || tmp40;
2022-11-23T01:30:20.5553243Z                     auto tmp42 = tmp3 > tmp32;
2022-11-23T01:30:20.5553331Z                     auto tmp43 = tmp42 == 0;
2022-11-23T01:30:20.5553433Z                     auto tmp44 = static_cast<long>(tmp43);
2022-11-23T01:30:20.5553533Z                     auto tmp45 = static_cast<bool>(tmp44);
2022-11-23T01:30:20.5553625Z                     auto tmp46 = tmp41 || tmp45;
2022-11-23T01:30:20.5553716Z                     auto tmp47 = tmp46 == 0;
2022-11-23T01:30:20.5553913Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.5553987Z                     out_ptr1[i0] = tmp11;
2022-11-23T01:30:20.5554071Z                     out_ptr2[i0] = tmp13;
2022-11-23T01:30:20.5554154Z                     out_ptr3[i0] = tmp17;
2022-11-23T01:30:20.5554239Z                     out_ptr4[i0] = tmp19;
2022-11-23T01:30:20.5554321Z                     out_ptr5[i0] = tmp31;
2022-11-23T01:30:20.5554402Z                     out_ptr6[i0] = tmp47;
2022-11-23T01:30:20.5554482Z                     out_ptr7[i0] = tmp11;
2022-11-23T01:30:20.5554550Z                     out_ptr8[i0] = tmp17;
2022-11-23T01:30:20.5554627Z                     out_ptr9[i0] = tmp4;
2022-11-23T01:30:20.5554718Z                     out_ptr10[i0] = tmp13;
2022-11-23T01:30:20.5554783Z                 }
2022-11-23T01:30:20.5554849Z             }
2022-11-23T01:30:20.5554913Z         }
2022-11-23T01:30:20.5554976Z     }
2022-11-23T01:30:20.5555024Z }
2022-11-23T01:30:20.5555113Z ''')
2022-11-23T01:30:20.5555118Z 
2022-11-23T01:30:20.5555122Z 
2022-11-23T01:30:20.5555212Z async_compile.wait(globals())
2022-11-23T01:30:20.5555282Z del async_compile
2022-11-23T01:30:20.5555287Z 
2022-11-23T01:30:20.5555355Z def call(args):
2022-11-23T01:30:20.5555423Z     arg0_1, = args
2022-11-23T01:30:20.5555492Z     args.clear()
2022-11-23T01:30:20.5555690Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5555867Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5556055Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5556240Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5556425Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5556605Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.5556786Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.5556968Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5557150Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5557322Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5557512Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5557889Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2022-11-23T01:30:20.5557958Z     del arg0_1
2022-11-23T01:30:20.5558084Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, )
2022-11-23T01:30:20.5558089Z 
2022-11-23T01:30:20.5558096Z 
2022-11-23T01:30:20.5558174Z if __name__ == "__main__":
2022-11-23T01:30:20.5558291Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5558416Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5558612Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5558741Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5558747Z 
2022-11-23T01:30:20.5559120Z [2022-11-23 01:28:17,176] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cr/ccr4dw7rsdfbivelby7llainuq7gisadqdx3wb52ynue56px7xrm.py
2022-11-23T01:30:20.5559384Z [2022-11-23 01:28:17,176] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 402
2022-11-23T01:30:20.5559390Z 
2022-11-23T01:30:20.5559486Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5559558Z import torch
2022-11-23T01:30:20.5559630Z import random
2022-11-23T01:30:20.5559745Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5559898Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5559903Z 
2022-11-23T01:30:20.5559968Z aten = torch.ops.aten
2022-11-23T01:30:20.5560101Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5560194Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5560199Z 
2022-11-23T01:30:20.5560203Z 
2022-11-23T01:30:20.5560340Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5560545Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5560659Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.5560764Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5560865Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5560948Z                        long* __restrict__ out_ptr1,
2022-11-23T01:30:20.5561045Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.5561142Z                        long* __restrict__ out_ptr3,
2022-11-23T01:30:20.5561240Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:20.5561333Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:30:20.5561425Z                        long* __restrict__ out_ptr7,
2022-11-23T01:30:20.5561518Z                        long* __restrict__ out_ptr8,
2022-11-23T01:30:20.5561614Z                        float* __restrict__ out_ptr9,
2022-11-23T01:30:20.5561703Z                        float* __restrict__ out_ptr10)
2022-11-23T01:30:20.5561766Z {
2022-11-23T01:30:20.5561855Z     auto out_ptr6 = in_out_ptr0;
2022-11-23T01:30:20.5561952Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5562016Z     {
2022-11-23T01:30:20.5562095Z         #pragma omp for 
2022-11-23T01:30:20.5562163Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5562227Z         {
2022-11-23T01:30:20.5562292Z             {
2022-11-23T01:30:20.5562358Z                 {
2022-11-23T01:30:20.5562488Z                     float tmp1 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.5562613Z                     struct IndexValue_11 {size_t index; float value;};
2022-11-23T01:30:20.5562752Z                     IndexValue_11 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:30:20.5562892Z                     #pragma omp declare reduction(argmin : struct IndexValue_11 :\
2022-11-23T01:30:20.5563032Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:20.5563181Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:20.5563325Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:30:20.5563564Z                     float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.5563688Z                     struct IndexValue_12 {size_t index; float value;};
2022-11-23T01:30:20.5563921Z                     IndexValue_12 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:30:20.5564063Z                     #pragma omp declare reduction(argmax : struct IndexValue_12 :\
2022-11-23T01:30:20.5564213Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:20.5564387Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:20.5564615Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:30:20.5564698Z                     float tmp5 = 0;
2022-11-23T01:30:20.5564775Z                     bool tmp10 = 0;
2022-11-23T01:30:20.5564853Z                     bool tmp16 = 0;
2022-11-23T01:30:20.5564972Z                     struct IndexValue_13 {size_t index; float value;};
2022-11-23T01:30:20.5565108Z                     IndexValue_13 tmp17{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:30:20.5565250Z                     #pragma omp declare reduction(argmin : struct IndexValue_13 :\
2022-11-23T01:30:20.5565425Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:20.5565556Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:20.5565700Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:30:20.5565818Z                     struct IndexValue_14 {size_t index; float value;};
2022-11-23T01:30:20.5566052Z                     IndexValue_14 tmp18{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:30:20.5566191Z                     #pragma omp declare reduction(argmax : struct IndexValue_14 :\
2022-11-23T01:30:20.5566335Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:30:20.5566477Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:30:20.5566718Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:30:20.5566845Z                     float tmp19 = std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.5567042Z                     float tmp20 = -std::numeric_limits<float>::infinity();
2022-11-23T01:30:20.5567134Z                     for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.5567200Z                     {
2022-11-23T01:30:20.5567268Z                         {
2022-11-23T01:30:20.5567369Z                             auto tmp0 = in_ptr0[i1 + (3*i0)];
2022-11-23T01:30:20.5567475Z                             auto tmp6 = static_cast<float>(1);
2022-11-23T01:30:20.5567570Z                             auto tmp7 = tmp0 > tmp6;
2022-11-23T01:30:20.5567665Z                             auto tmp8 = static_cast<long>(tmp7);
2022-11-23T01:30:20.5567771Z                             auto tmp9 = static_cast<bool>(tmp8);
2022-11-23T01:30:20.5567878Z                             auto tmp11 = static_cast<float>(0);
2022-11-23T01:30:20.5567976Z                             auto tmp12 = tmp0 > tmp11;
2022-11-23T01:30:20.5568069Z                             auto tmp13 = tmp12 == 0;
2022-11-23T01:30:20.5568177Z                             auto tmp14 = static_cast<long>(tmp13);
2022-11-23T01:30:20.5568281Z                             auto tmp15 = static_cast<bool>(tmp14);
2022-11-23T01:30:20.5568384Z                             tmp1 = std::min(tmp1, tmp0);
2022-11-23T01:30:20.5568466Z                             if (tmp2.value > tmp0) {
2022-11-23T01:30:20.5568574Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:30:20.5568643Z                             }
2022-11-23T01:30:20.5568743Z                             tmp3 = std::max(tmp3, tmp0);
2022-11-23T01:30:20.5568834Z                             if (tmp4.value < tmp0) {
2022-11-23T01:30:20.5568941Z                                 tmp4.index = i1; tmp4.value = tmp0;
2022-11-23T01:30:20.5569009Z                             }
2022-11-23T01:30:20.5569080Z                             tmp5 += tmp0;
2022-11-23T01:30:20.5569169Z                             tmp10 = tmp10 || tmp9;
2022-11-23T01:30:20.5569257Z                             tmp16 = tmp16 || tmp15;
2022-11-23T01:30:20.5569350Z                             if (tmp17.value > tmp0) {
2022-11-23T01:30:20.5569486Z                                 tmp17.index = i1; tmp17.value = tmp0;
2022-11-23T01:30:20.5569556Z                             }
2022-11-23T01:30:20.5569649Z                             if (tmp18.value < tmp0) {
2022-11-23T01:30:20.5569757Z                                 tmp18.index = i1; tmp18.value = tmp0;
2022-11-23T01:30:20.5569814Z                             }
2022-11-23T01:30:20.5569917Z                             tmp19 = std::min(tmp19, tmp0);
2022-11-23T01:30:20.5570018Z                             tmp20 = std::max(tmp20, tmp0);
2022-11-23T01:30:20.5570085Z                         }
2022-11-23T01:30:20.5570151Z                     }
2022-11-23T01:30:20.5570266Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.5570359Z                     out_ptr1[i0] = tmp2.index;
2022-11-23T01:30:20.5570431Z                     out_ptr2[i0] = tmp3;
2022-11-23T01:30:20.5570519Z                     out_ptr3[i0] = tmp4.index;
2022-11-23T01:30:20.5570598Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:30:20.5570683Z                     out_ptr5[i0] = tmp10;
2022-11-23T01:30:20.5570764Z                     out_ptr6[i0] = tmp16;
2022-11-23T01:30:20.5570857Z                     out_ptr7[i0] = tmp17.index;
2022-11-23T01:30:20.5570949Z                     out_ptr8[i0] = tmp18.index;
2022-11-23T01:30:20.5571019Z                     out_ptr9[i0] = tmp19;
2022-11-23T01:30:20.5571103Z                     out_ptr10[i0] = tmp20;
2022-11-23T01:30:20.5571168Z                 }
2022-11-23T01:30:20.5571231Z             }
2022-11-23T01:30:20.5571292Z         }
2022-11-23T01:30:20.5571367Z         #pragma omp for 
2022-11-23T01:30:20.5571447Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5571499Z         {
2022-11-23T01:30:20.5571561Z             {
2022-11-23T01:30:20.5571622Z                 {
2022-11-23T01:30:20.5571714Z                     auto tmp0 = out_ptr6[i0];
2022-11-23T01:30:20.5571799Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:30:20.5571886Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.5571940Z                 }
2022-11-23T01:30:20.5572003Z             }
2022-11-23T01:30:20.5572066Z         }
2022-11-23T01:30:20.5572126Z     }
2022-11-23T01:30:20.5572184Z }
2022-11-23T01:30:20.5572261Z ''')
2022-11-23T01:30:20.5572266Z 
2022-11-23T01:30:20.5572271Z 
2022-11-23T01:30:20.5572359Z async_compile.wait(globals())
2022-11-23T01:30:20.5572417Z del async_compile
2022-11-23T01:30:20.5572433Z 
2022-11-23T01:30:20.5572489Z def call(args):
2022-11-23T01:30:20.5572557Z     arg0_1, = args
2022-11-23T01:30:20.5572627Z     args.clear()
2022-11-23T01:30:20.5572819Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5573008Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5573195Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5573379Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5573551Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5573733Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.5573912Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.5574095Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5574276Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.5574460Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5574648Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5574735Z     buf11 = buf6; del buf6  # reuse
2022-11-23T01:30:20.5575129Z     kernel_cpp_0(c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2022-11-23T01:30:20.5575198Z     del arg0_1
2022-11-23T01:30:20.5575327Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf11, buf7, buf8, buf9, buf10, )
2022-11-23T01:30:20.5575332Z 
2022-11-23T01:30:20.5575337Z 
2022-11-23T01:30:20.5575413Z if __name__ == "__main__":
2022-11-23T01:30:20.5575527Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5575649Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5575842Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5575950Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5575980Z 
2022-11-23T01:30:20.5576046Z ok (3.010s)
2022-11-23T01:30:20.5576173Z   test_unspec_inputs_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T01:30:20.5576616Z   test_unsqueeze_cpu (__main__.CpuTests) ... [2022-11-23 01:28:17,182] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5576939Z [2022-11-23 01:28:17,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5577158Z [2022-11-23 01:28:17,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5577415Z [2022-11-23 01:28:17,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5577694Z [2022-11-23 01:28:17,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5578015Z [2022-11-23 01:28:17,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5578359Z [2022-11-23 01:28:17,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5578684Z [2022-11-23 01:28:17,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5579059Z [2022-11-23 01:28:17,183] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293> 
2022-11-23T01:30:20.5579144Z  1295           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5579243Z                2 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:30:20.5579334Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5579423Z                6 LOAD_CONST               1 (1)
2022-11-23T01:30:20.5579499Z                8 BINARY_ADD
2022-11-23T01:30:20.5579636Z               10 LOAD_CONST               2 (-1)
2022-11-23T01:30:20.5579722Z               12 CALL_METHOD              2
2022-11-23T01:30:20.5579798Z               14 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5579867Z               16 BINARY_ADD
2022-11-23T01:30:20.5579875Z 
2022-11-23T01:30:20.5579968Z 1296          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5580064Z               20 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:30:20.5580151Z               22 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5580237Z               24 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5580322Z               26 CALL_METHOD              2
2022-11-23T01:30:20.5580407Z               28 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5580466Z               30 BINARY_ADD
2022-11-23T01:30:20.5580470Z 
2022-11-23T01:30:20.5580561Z 1297          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5580660Z               34 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:30:20.5580746Z               36 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5580830Z               38 LOAD_CONST               1 (1)
2022-11-23T01:30:20.5580903Z               40 BINARY_ADD
2022-11-23T01:30:20.5580986Z               42 LOAD_CONST               4 (0)
2022-11-23T01:30:20.5581125Z               44 CALL_METHOD              2
2022-11-23T01:30:20.5581212Z               46 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5581284Z               48 BINARY_ADD
2022-11-23T01:30:20.5581289Z 
2022-11-23T01:30:20.5581382Z 1298          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.5581480Z               52 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:30:20.5581565Z               54 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5581704Z               56 LOAD_CONST               5 (-2)
2022-11-23T01:30:20.5581777Z               58 CALL_METHOD              2
2022-11-23T01:30:20.5581898Z               60 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5581972Z               62 BINARY_ADD
2022-11-23T01:30:20.5581976Z 
2022-11-23T01:30:20.5582068Z 1294          64 BUILD_TUPLE              4
2022-11-23T01:30:20.5582143Z               66 RETURN_VALUE
2022-11-23T01:30:20.5582206Z  
2022-11-23T01:30:20.5582211Z 
2022-11-23T01:30:20.5582534Z [2022-11-23 01:28:17,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1295
2022-11-23T01:30:20.5582757Z [2022-11-23 01:28:17,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.5583133Z [2022-11-23 01:28:17,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5583448Z [2022-11-23 01:28:17,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5583803Z [2022-11-23 01:28:17,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5584203Z [2022-11-23 01:28:17,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5584558Z [2022-11-23 01:28:17,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5584954Z [2022-11-23 01:28:17,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5585195Z [2022-11-23 01:28:17,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.5585476Z [2022-11-23 01:28:17,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5585787Z [2022-11-23 01:28:17,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1296
2022-11-23T01:30:20.5586033Z [2022-11-23 01:28:17,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.5586437Z [2022-11-23 01:28:17,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5586792Z [2022-11-23 01:28:17,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5587171Z [2022-11-23 01:28:17,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5587632Z [2022-11-23 01:28:17,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5587884Z [2022-11-23 01:28:17,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5588188Z [2022-11-23 01:28:17,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5588498Z [2022-11-23 01:28:17,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1297
2022-11-23T01:30:20.5588770Z [2022-11-23 01:28:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5589231Z [2022-11-23 01:28:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5589612Z [2022-11-23 01:28:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5590024Z [2022-11-23 01:28:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5590480Z [2022-11-23 01:28:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5590897Z [2022-11-23 01:28:17,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5591353Z [2022-11-23 01:28:17,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5591646Z [2022-11-23 01:28:17,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5591980Z [2022-11-23 01:28:17,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5592291Z [2022-11-23 01:28:17,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1298
2022-11-23T01:30:20.5592582Z [2022-11-23 01:28:17,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5593042Z [2022-11-23 01:28:17,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.5593450Z [2022-11-23 01:28:17,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.5593965Z [2022-11-23 01:28:17,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.5594454Z [2022-11-23 01:28:17,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5594816Z [2022-11-23 01:28:17,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5595179Z [2022-11-23 01:28:17,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5595490Z [2022-11-23 01:28:17,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1294
2022-11-23T01:30:20.5595813Z [2022-11-23 01:28:17,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5596088Z [2022-11-23 01:28:17,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5596467Z [2022-11-23 01:28:17,193] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16a290, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1293>
2022-11-23T01:30:20.5596708Z [2022-11-23 01:28:17,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5596938Z [2022-11-23 01:28:17,194] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5597177Z [2022-11-23 01:28:17,195] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5597427Z [2022-11-23 01:28:17,201] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5597613Z [2022-11-23 01:28:17,202] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5597748Z  __compiled_fn_411 <eval_with_key>.3280 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5597836Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5598006Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.5598253Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7ff5d7c59c60>, (add, -1), {}
2022-11-23T01:30:20.5598434Z call_function, add_1, <built-in function add>, (unsqueeze, 2), {}
2022-11-23T01:30:20.5598671Z call_function, unsqueeze_1, <built-in method unsqueeze of type object at 0x7ff5d7c59c60>, (ex_0_, 2), {}
2022-11-23T01:30:20.5598855Z call_function, add_2, <built-in function add>, (unsqueeze_1, 2), {}
2022-11-23T01:30:20.5599026Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.5599272Z call_function, unsqueeze_2, <built-in method unsqueeze of type object at 0x7ff5d7c59c60>, (add_3, 0), {}
2022-11-23T01:30:20.5599454Z call_function, add_4, <built-in function add>, (unsqueeze_2, 2), {}
2022-11-23T01:30:20.5599704Z call_function, unsqueeze_3, <built-in method unsqueeze of type object at 0x7ff5d7c59c60>, (ex_0_, -2), {}
2022-11-23T01:30:20.5599884Z call_function, add_5, <built-in function add>, (unsqueeze_3, 2), {}
2022-11-23T01:30:20.5599998Z output, output, output, ((add_1, add_2, add_4, add_5),), {}
2022-11-23T01:30:20.5600006Z 
2022-11-23T01:30:20.5600331Z [2022-11-23 01:28:17,202] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5600413Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5600501Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5600587Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5600679Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5600763Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5600849Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5600926Z              12 RETURN_VALUE
2022-11-23T01:30:20.5600931Z 
2022-11-23T01:30:20.5600977Z  
2022-11-23T01:30:20.5601298Z [2022-11-23 01:28:17,202] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5601430Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_411)
2022-11-23T01:30:20.5601520Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5601611Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5601686Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5601771Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5601872Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5601959Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5602047Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5602122Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5602258Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5602344Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5602417Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5602514Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5602588Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5602665Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5602762Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5602848Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5602920Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5603004Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.5603077Z              38 RETURN_VALUE
2022-11-23T01:30:20.5603082Z 
2022-11-23T01:30:20.5603129Z  
2022-11-23T01:30:20.5603311Z [2022-11-23 01:28:17,203] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5603382Z  - 
2022-11-23T01:30:20.5603506Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5603574Z             {
2022-11-23T01:30:20.5603714Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5603902Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5604010Z                 'obj_weakref': None
2022-11-23T01:30:20.5604238Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5604304Z             }
2022-11-23T01:30:20.5604369Z             
2022-11-23T01:30:20.5604439Z  - 
2022-11-23T01:30:20.5604562Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5604625Z             {
2022-11-23T01:30:20.5604754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5604862Z                 'code': None,
2022-11-23T01:30:20.5605075Z                 'obj_weakref': <weakref at 0x7ff57ef604a0; to 'Tensor' at 0x7ff58ff66e80>
2022-11-23T01:30:20.5605329Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5605397Z             }
2022-11-23T01:30:20.5605462Z             
2022-11-23T01:30:20.5605531Z  - 
2022-11-23T01:30:20.5605648Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5605713Z             {
2022-11-23T01:30:20.5605848Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5606019Z                 'code': ['___check_obj_id(model, 140693067551728)'],
2022-11-23T01:30:20.5606139Z                 'obj_weakref': None
2022-11-23T01:30:20.5606369Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5606434Z             }
2022-11-23T01:30:20.5606485Z             
2022-11-23T01:30:20.5606554Z  - 
2022-11-23T01:30:20.5606676Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5606740Z             {
2022-11-23T01:30:20.5606876Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5607092Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5607212Z                 'obj_weakref': None
2022-11-23T01:30:20.5607419Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5607484Z             }
2022-11-23T01:30:20.5607546Z             
2022-11-23T01:30:20.5607614Z  - 
2022-11-23T01:30:20.5607778Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.5607843Z             {
2022-11-23T01:30:20.5607963Z                 'guard_types': None,
2022-11-23T01:30:20.5608055Z                 'code': None,
2022-11-23T01:30:20.5608173Z                 'obj_weakref': None
2022-11-23T01:30:20.5608294Z                 'guarded_class': None
2022-11-23T01:30:20.5608359Z             }
2022-11-23T01:30:20.5608423Z             
2022-11-23T01:30:20.5608684Z [2022-11-23 01:28:17,214] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 403
2022-11-23T01:30:20.5609053Z [2022-11-23 01:28:18,640] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yv/cyvaj4j5az2cnb5iwhgyctqz5geaibsbb2kadptnewwqg2giabyy.py
2022-11-23T01:30:20.5609342Z [2022-11-23 01:28:18,640] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 403
2022-11-23T01:30:20.5609349Z 
2022-11-23T01:30:20.5609429Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5609501Z import torch
2022-11-23T01:30:20.5609571Z import random
2022-11-23T01:30:20.5609685Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5609806Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5609811Z 
2022-11-23T01:30:20.5609892Z aten = torch.ops.aten
2022-11-23T01:30:20.5610026Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5610104Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5610121Z 
2022-11-23T01:30:20.5610126Z 
2022-11-23T01:30:20.5610245Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5610448Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5610572Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5610676Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5610769Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.5610865Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.5610962Z                        float* __restrict__ out_ptr3)
2022-11-23T01:30:20.5611011Z {
2022-11-23T01:30:20.5611108Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5611167Z     {
2022-11-23T01:30:20.5611242Z         #pragma omp for 
2022-11-23T01:30:20.5611322Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.5611382Z         {
2022-11-23T01:30:20.5611524Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.5611646Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.5611731Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5611859Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.5611943Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.5612023Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:30:20.5612112Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.5612201Z             tmp5.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.5612289Z             tmp4.store(out_ptr2 + 8*i0);
2022-11-23T01:30:20.5612365Z             tmp5.store(out_ptr3 + 8*i0);
2022-11-23T01:30:20.5612426Z         }
2022-11-23T01:30:20.5612517Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.5612598Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.5612659Z         {
2022-11-23T01:30:20.5612741Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.5612825Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.5612907Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5613002Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:30:20.5613086Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.5613165Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:30:20.5613243Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.5613319Z             out_ptr1[i0] = tmp5;
2022-11-23T01:30:20.5613383Z             out_ptr2[i0] = tmp4;
2022-11-23T01:30:20.5613486Z             out_ptr3[i0] = tmp5;
2022-11-23T01:30:20.5613548Z         }
2022-11-23T01:30:20.5613608Z     }
2022-11-23T01:30:20.5613667Z }
2022-11-23T01:30:20.5613743Z ''')
2022-11-23T01:30:20.5613748Z 
2022-11-23T01:30:20.5613752Z 
2022-11-23T01:30:20.5613841Z async_compile.wait(globals())
2022-11-23T01:30:20.5613901Z del async_compile
2022-11-23T01:30:20.5613917Z 
2022-11-23T01:30:20.5613975Z def call(args):
2022-11-23T01:30:20.5614043Z     arg0_1, = args
2022-11-23T01:30:20.5614114Z     args.clear()
2022-11-23T01:30:20.5614328Z     buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5614568Z     buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 16, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5614777Z     buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5614985Z     buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5615186Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.5615254Z     del arg0_1
2022-11-23T01:30:20.5615339Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:30:20.5615344Z 
2022-11-23T01:30:20.5615348Z 
2022-11-23T01:30:20.5615423Z if __name__ == "__main__":
2022-11-23T01:30:20.5615539Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5615659Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5615865Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5615973Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5615977Z 
2022-11-23T01:30:20.5616042Z ok (1.463s)
2022-11-23T01:30:20.5616353Z   test_unsqueeze_inplace_cpu (__main__.CpuTests) ... [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5616799Z [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5617018Z [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5617273Z [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5617553Z [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5617873Z [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5618217Z [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5618542Z [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5618918Z [2022-11-23 01:28:18,645] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d16a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314> 
2022-11-23T01:30:20.5619012Z  1315           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5619089Z                2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.5619162Z                4 BINARY_ADD
2022-11-23T01:30:20.5619255Z                6 STORE_FAST               1 (tmp1)
2022-11-23T01:30:20.5619262Z 
2022-11-23T01:30:20.5619356Z 1316           8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5619458Z               10 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:30:20.5619549Z               12 LOAD_FAST                1 (tmp1)
2022-11-23T01:30:20.5619640Z               14 LOAD_CONST               2 (2)
2022-11-23T01:30:20.5619764Z               16 CALL_METHOD              2
2022-11-23T01:30:20.5619839Z               18 POP_TOP
2022-11-23T01:30:20.5619844Z 
2022-11-23T01:30:20.5619933Z 1317          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5620031Z               22 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:30:20.5620120Z               24 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5620206Z               26 LOAD_CONST               1 (1)
2022-11-23T01:30:20.5620278Z               28 BINARY_ADD
2022-11-23T01:30:20.5620366Z               30 LOAD_CONST               3 (0)
2022-11-23T01:30:20.5620440Z               32 CALL_METHOD              2
2022-11-23T01:30:20.5620559Z               34 LOAD_CONST               2 (2)
2022-11-23T01:30:20.5620631Z               36 BINARY_ADD
2022-11-23T01:30:20.5620727Z               38 STORE_FAST               2 (tmp2)
2022-11-23T01:30:20.5620732Z 
2022-11-23T01:30:20.5620819Z 1318          40 LOAD_FAST                1 (tmp1)
2022-11-23T01:30:20.5620907Z               42 LOAD_FAST                2 (tmp2)
2022-11-23T01:30:20.5620995Z               44 BUILD_TUPLE              2
2022-11-23T01:30:20.5621057Z               46 RETURN_VALUE
2022-11-23T01:30:20.5621117Z  
2022-11-23T01:30:20.5621121Z 
2022-11-23T01:30:20.5621437Z [2022-11-23 01:28:18,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1315
2022-11-23T01:30:20.5621644Z [2022-11-23 01:28:18,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.5621881Z [2022-11-23 01:28:18,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.5622163Z [2022-11-23 01:28:18,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5622406Z [2022-11-23 01:28:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp1 [TensorVariable()]
2022-11-23T01:30:20.5622717Z [2022-11-23 01:28:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1316
2022-11-23T01:30:20.5622932Z [2022-11-23 01:28:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5623234Z [2022-11-23 01:28:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5623495Z [2022-11-23 01:28:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:30:20.5623781Z [2022-11-23 01:28:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:30:20.5624111Z [2022-11-23 01:28:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5624351Z [2022-11-23 01:28:18,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:30:20.5624664Z [2022-11-23 01:28:18,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1317
2022-11-23T01:30:20.5624877Z [2022-11-23 01:28:18,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5625190Z [2022-11-23 01:28:18,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5625446Z [2022-11-23 01:28:18,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:30:20.5625732Z [2022-11-23 01:28:18,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:30:20.5626047Z [2022-11-23 01:28:18,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5626357Z [2022-11-23 01:28:18,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:30:20.5626685Z [2022-11-23 01:28:18,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5626918Z [2022-11-23 01:28:18,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.5627194Z [2022-11-23 01:28:18,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5627431Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp2 [TensorVariable()]
2022-11-23T01:30:20.5627766Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:1318
2022-11-23T01:30:20.5627980Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 []
2022-11-23T01:30:20.5628218Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp2 [TensorVariable()]
2022-11-23T01:30:20.5628485Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5628716Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5629097Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d16a3f0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 1314>
2022-11-23T01:30:20.5629343Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5629574Z [2022-11-23 01:28:18,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5629827Z [2022-11-23 01:28:18,664] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5630073Z [2022-11-23 01:28:18,668] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5630260Z [2022-11-23 01:28:18,668] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5630393Z  __compiled_fn_412 <eval_with_key>.3286 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5630480Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5630639Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.5630759Z call_function, unsqueeze_, aten.unsqueeze_, (add, 2), {}
2022-11-23T01:30:20.5630933Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.5631057Z call_function, unsqueeze__1, aten.unsqueeze_, (add_1, 0), {}
2022-11-23T01:30:20.5631241Z call_function, add_2, <built-in function add>, (unsqueeze__1, 2), {}
2022-11-23T01:30:20.5631342Z output, output, output, ((add, add_2),), {}
2022-11-23T01:30:20.5631347Z 
2022-11-23T01:30:20.5631671Z [2022-11-23 01:28:18,669] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5631764Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5631841Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5631926Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5632017Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5632100Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5632186Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5632262Z              12 RETURN_VALUE
2022-11-23T01:30:20.5632268Z 
2022-11-23T01:30:20.5632328Z  
2022-11-23T01:30:20.5632644Z [2022-11-23 01:28:18,669] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5632766Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_412)
2022-11-23T01:30:20.5632857Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5632945Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5633020Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5633105Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5633206Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5633306Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5633382Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5633458Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5633558Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5633674Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5633748Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5633900Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.5633977Z              26 RETURN_VALUE
2022-11-23T01:30:20.5633982Z 
2022-11-23T01:30:20.5634030Z  
2022-11-23T01:30:20.5634214Z [2022-11-23 01:28:18,669] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5634286Z  - 
2022-11-23T01:30:20.5634405Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5634468Z             {
2022-11-23T01:30:20.5634607Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5634793Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5634899Z                 'obj_weakref': None
2022-11-23T01:30:20.5635120Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5635188Z             }
2022-11-23T01:30:20.5635253Z             
2022-11-23T01:30:20.5635323Z  - 
2022-11-23T01:30:20.5635445Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5635507Z             {
2022-11-23T01:30:20.5635635Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5635739Z                 'code': None,
2022-11-23T01:30:20.5635955Z                 'obj_weakref': <weakref at 0x7ff57eda1a30; to 'Tensor' at 0x7ff5a80a1030>
2022-11-23T01:30:20.5636209Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5636273Z             }
2022-11-23T01:30:20.5636334Z             
2022-11-23T01:30:20.5636402Z  - 
2022-11-23T01:30:20.5636517Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5636579Z             {
2022-11-23T01:30:20.5636711Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5636879Z                 'code': ['___check_obj_id(model, 140692655632256)'],
2022-11-23T01:30:20.5636997Z                 'obj_weakref': None
2022-11-23T01:30:20.5637222Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5637284Z             }
2022-11-23T01:30:20.5637333Z             
2022-11-23T01:30:20.5637400Z  - 
2022-11-23T01:30:20.5637521Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5637585Z             {
2022-11-23T01:30:20.5637721Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5637933Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5638048Z                 'obj_weakref': None
2022-11-23T01:30:20.5638264Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5638314Z             }
2022-11-23T01:30:20.5638375Z             
2022-11-23T01:30:20.5638441Z  - 
2022-11-23T01:30:20.5638570Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.5638631Z             {
2022-11-23T01:30:20.5638754Z                 'guard_types': None,
2022-11-23T01:30:20.5638846Z                 'code': None,
2022-11-23T01:30:20.5638959Z                 'obj_weakref': None
2022-11-23T01:30:20.5639076Z                 'guarded_class': None
2022-11-23T01:30:20.5639140Z             }
2022-11-23T01:30:20.5639202Z             
2022-11-23T01:30:20.5639504Z [2022-11-23 01:28:18,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 404
2022-11-23T01:30:20.5639877Z [2022-11-23 01:28:20,066] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwtzvxcjgxgd6ivsfk7ujrwn37wpcuhnutcxkl4hsmfopklvktid.py
2022-11-23T01:30:20.5640137Z [2022-11-23 01:28:20,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 404
2022-11-23T01:30:20.5640143Z 
2022-11-23T01:30:20.5640223Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5640290Z import torch
2022-11-23T01:30:20.5640359Z import random
2022-11-23T01:30:20.5640525Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5640644Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5640649Z 
2022-11-23T01:30:20.5640725Z aten = torch.ops.aten
2022-11-23T01:30:20.5640857Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5640936Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5640955Z 
2022-11-23T01:30:20.5640960Z 
2022-11-23T01:30:20.5641078Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5641282Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5641401Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5641499Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5641593Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.5641653Z {
2022-11-23T01:30:20.5641751Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5641800Z     {
2022-11-23T01:30:20.5641876Z         #pragma omp for 
2022-11-23T01:30:20.5641955Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.5642018Z         {
2022-11-23T01:30:20.5642155Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.5642288Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.5642375Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5642503Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.5642574Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.5642662Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.5642750Z             tmp4.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.5642811Z         }
2022-11-23T01:30:20.5642902Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.5642984Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.5643033Z         {
2022-11-23T01:30:20.5643115Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.5643217Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.5643299Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.5643398Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:30:20.5643483Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.5643563Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.5643631Z             out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.5643695Z         }
2022-11-23T01:30:20.5643761Z     }
2022-11-23T01:30:20.5643822Z }
2022-11-23T01:30:20.5643901Z ''')
2022-11-23T01:30:20.5643907Z 
2022-11-23T01:30:20.5643911Z 
2022-11-23T01:30:20.5644000Z async_compile.wait(globals())
2022-11-23T01:30:20.5644073Z del async_compile
2022-11-23T01:30:20.5644078Z 
2022-11-23T01:30:20.5644150Z def call(args):
2022-11-23T01:30:20.5644206Z     arg0_1, = args
2022-11-23T01:30:20.5644277Z     args.clear()
2022-11-23T01:30:20.5644489Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5644705Z     buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5644873Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.5644943Z     del arg0_1
2022-11-23T01:30:20.5645055Z     return (as_strided(buf0, (2, 2, 1, 2, 2), (8, 4, 0, 2, 1)), buf1, )
2022-11-23T01:30:20.5645089Z 
2022-11-23T01:30:20.5645094Z 
2022-11-23T01:30:20.5645172Z if __name__ == "__main__":
2022-11-23T01:30:20.5645273Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5645394Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5645603Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5645711Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5645716Z 
2022-11-23T01:30:20.5645785Z ok (1.426s)
2022-11-23T01:30:20.5646110Z   test_upsample_bicubic2d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:20,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5646459Z [2022-11-23 01:28:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5646677Z [2022-11-23 01:28:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5646919Z [2022-11-23 01:28:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5647197Z [2022-11-23 01:28:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5647516Z [2022-11-23 01:28:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5647863Z [2022-11-23 01:28:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5648187Z [2022-11-23 01:28:20,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5648565Z [2022-11-23 01:28:20,076] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e0b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074> 
2022-11-23T01:30:20.5648662Z  3076           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5648777Z                2 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:30:20.5648869Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5648953Z                6 LOAD_CONST               1 ((128, 128))
2022-11-23T01:30:20.5649046Z                8 LOAD_CONST               2 (True)
2022-11-23T01:30:20.5649133Z               10 CALL_METHOD              3
2022-11-23T01:30:20.5649139Z 
2022-11-23T01:30:20.5649232Z 3077          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5649345Z               14 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:30:20.5649436Z               16 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5649531Z               18 LOAD_CONST               3 ((128, 256))
2022-11-23T01:30:20.5649624Z               20 LOAD_CONST               4 (False)
2022-11-23T01:30:20.5649701Z               22 CALL_METHOD              3
2022-11-23T01:30:20.5649706Z 
2022-11-23T01:30:20.5649795Z 3075          24 BUILD_TUPLE              2
2022-11-23T01:30:20.5649871Z               26 RETURN_VALUE
2022-11-23T01:30:20.5649933Z  
2022-11-23T01:30:20.5649938Z 
2022-11-23T01:30:20.5650251Z [2022-11-23 01:28:20,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3076
2022-11-23T01:30:20.5650470Z [2022-11-23 01:28:20,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5650794Z [2022-11-23 01:28:20,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5651074Z [2022-11-23 01:28:20,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:30:20.5651413Z [2022-11-23 01:28:20,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 128) [TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:30:20.5651750Z [2022-11-23 01:28:20,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5652132Z [2022-11-23 01:28:20,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:30:20.5652443Z [2022-11-23 01:28:20,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3077
2022-11-23T01:30:20.5652709Z [2022-11-23 01:28:20,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.5653062Z [2022-11-23 01:28:20,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5653364Z [2022-11-23 01:28:20,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:30:20.5653700Z [2022-11-23 01:28:20,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 256) [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:30:20.5654078Z [2022-11-23 01:28:20,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5654492Z [2022-11-23 01:28:20,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:30:20.5654808Z [2022-11-23 01:28:20,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3075
2022-11-23T01:30:20.5655078Z [2022-11-23 01:28:20,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5655324Z [2022-11-23 01:28:20,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5655691Z [2022-11-23 01:28:20,325] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e0b30, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3074>
2022-11-23T01:30:20.5655937Z [2022-11-23 01:28:20,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5656168Z [2022-11-23 01:28:20,325] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5656554Z [2022-11-23 01:28:20,327] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5656804Z [2022-11-23 01:28:20,539] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5656995Z [2022-11-23 01:28:20,539] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5657126Z  __compiled_fn_413 <eval_with_key>.3292 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5657215Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5657370Z call_function, upsample_bicubic2d, aten.upsample_bicubic2d, (ex_0_, (128, 128), True), {}
2022-11-23T01:30:20.5657511Z call_function, upsample_bicubic2d_1, aten.upsample_bicubic2d, (ex_0_, (128, 256), False), {}
2022-11-23T01:30:20.5657652Z output, output, output, ((upsample_bicubic2d, upsample_bicubic2d_1),), {}
2022-11-23T01:30:20.5657660Z 
2022-11-23T01:30:20.5657984Z [2022-11-23 01:28:20,540] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5658078Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5658170Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5658301Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5658393Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5658477Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5658552Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5658626Z              12 RETURN_VALUE
2022-11-23T01:30:20.5658632Z 
2022-11-23T01:30:20.5658691Z  
2022-11-23T01:30:20.5659012Z [2022-11-23 01:28:20,540] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5659120Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_413)
2022-11-23T01:30:20.5659240Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5659329Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5659408Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5659482Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5659586Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5659686Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5659775Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5659851Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5659954Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5660041Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5660104Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5660189Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.5660264Z              26 RETURN_VALUE
2022-11-23T01:30:20.5660269Z 
2022-11-23T01:30:20.5660332Z  
2022-11-23T01:30:20.5660514Z [2022-11-23 01:28:20,541] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5660582Z  - 
2022-11-23T01:30:20.5660700Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5660752Z             {
2022-11-23T01:30:20.5660890Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5661076Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5661195Z                 'obj_weakref': None
2022-11-23T01:30:20.5661419Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5661482Z             }
2022-11-23T01:30:20.5661543Z             
2022-11-23T01:30:20.5661598Z  - 
2022-11-23T01:30:20.5661722Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5661786Z             {
2022-11-23T01:30:20.5661929Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5662033Z                 'code': None,
2022-11-23T01:30:20.5662247Z                 'obj_weakref': <weakref at 0x7ff57edd4f40; to 'Tensor' at 0x7ff57ff31b20>
2022-11-23T01:30:20.5662503Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5662553Z             }
2022-11-23T01:30:20.5662615Z             
2022-11-23T01:30:20.5662683Z  - 
2022-11-23T01:30:20.5662814Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5662877Z             {
2022-11-23T01:30:20.5663008Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5663175Z                 'code': ['___check_obj_id(model, 140693067555760)'],
2022-11-23T01:30:20.5663281Z                 'obj_weakref': None
2022-11-23T01:30:20.5663508Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5663569Z             }
2022-11-23T01:30:20.5663631Z             
2022-11-23T01:30:20.5663700Z  - 
2022-11-23T01:30:20.5663818Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5663881Z             {
2022-11-23T01:30:20.5664002Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5664216Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5664332Z                 'obj_weakref': None
2022-11-23T01:30:20.5664581Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5664647Z             }
2022-11-23T01:30:20.5664709Z             
2022-11-23T01:30:20.5664776Z  - 
2022-11-23T01:30:20.5664893Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.5664955Z             {
2022-11-23T01:30:20.5665072Z                 'guard_types': None,
2022-11-23T01:30:20.5665180Z                 'code': None,
2022-11-23T01:30:20.5665294Z                 'obj_weakref': None
2022-11-23T01:30:20.5665412Z                 'guarded_class': None
2022-11-23T01:30:20.5665473Z             }
2022-11-23T01:30:20.5665522Z             
2022-11-23T01:30:20.5665808Z [2022-11-23 01:28:20,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 405
2022-11-23T01:30:20.5665815Z 
2022-11-23T01:30:20.5665907Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5665974Z import torch
2022-11-23T01:30:20.5666042Z import random
2022-11-23T01:30:20.5666157Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5666277Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5666282Z 
2022-11-23T01:30:20.5666346Z aten = torch.ops.aten
2022-11-23T01:30:20.5666478Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5666567Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5666572Z 
2022-11-23T01:30:20.5666577Z 
2022-11-23T01:30:20.5666708Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5666913Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5667032Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5667131Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5667226Z                        float* __restrict__ out_ptr1)
2022-11-23T01:30:20.5667275Z {
2022-11-23T01:30:20.5667374Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5667435Z     {
2022-11-23T01:30:20.5667511Z         #pragma omp for 
2022-11-23T01:30:20.5667595Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.5667657Z         {
2022-11-23T01:30:20.5667739Z             #pragma GCC ivdep
2022-11-23T01:30:20.5667812Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:20.5667876Z             {
2022-11-23T01:30:20.5667955Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5668044Z                 for(long i2=0; i2<128; i2+=1)
2022-11-23T01:30:20.5668107Z                 {
2022-11-23T01:30:20.5668174Z                     {
2022-11-23T01:30:20.5668244Z                         {
2022-11-23T01:30:20.5668340Z                             auto tmp0 = static_cast<float>(i2);
2022-11-23T01:30:20.5668442Z                             auto tmp1 = 0.2440944881889764 * tmp0;
2022-11-23T01:30:20.5668550Z                             auto tmp2 = std::floor(tmp1);
2022-11-23T01:30:20.5668693Z                             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:30:20.5668798Z                             auto tmp4 = static_cast<float>(i1);
2022-11-23T01:30:20.5668899Z                             auto tmp5 = 0.49606299212598426 * tmp4;
2022-11-23T01:30:20.5668999Z                             auto tmp6 = std::floor(tmp5);
2022-11-23T01:30:20.5669129Z                             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:30:20.5669234Z                             auto tmp8 = static_cast<int>(tmp6);
2022-11-23T01:30:20.5669340Z                             auto tmp9 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5669482Z                             auto tmp10 = tmp8 + -1;
2022-11-23T01:30:20.5669573Z                             auto tmp11 = tmp8 + 0;
2022-11-23T01:30:20.5669660Z                             auto tmp12 = tmp8 + 1;
2022-11-23T01:30:20.5669750Z                             auto tmp13 = tmp8 + 2;
2022-11-23T01:30:20.5669890Z                             auto tmp14 = tmp9 + -1;
2022-11-23T01:30:20.5669964Z                             auto tmp15 = tmp9 + 0;
2022-11-23T01:30:20.5670048Z                             auto tmp16 = tmp9 + 1;
2022-11-23T01:30:20.5670168Z                             auto tmp17 = tmp9 + 2;
2022-11-23T01:30:20.5670274Z                             auto tmp18 = std::min(63, tmp10);
2022-11-23T01:30:20.5670377Z                             auto tmp19 = std::max(0, tmp18);
2022-11-23T01:30:20.5670479Z                             auto tmp20 = std::min(31, tmp14);
2022-11-23T01:30:20.5670581Z                             auto tmp21 = std::max(0, tmp20);
2022-11-23T01:30:20.5670700Z                             auto tmp22 = in_ptr0[tmp21 + (32*tmp19) + (2048*i0)];
2022-11-23T01:30:20.5670792Z                             auto tmp23 = std::min(31, tmp15);
2022-11-23T01:30:20.5670932Z                             auto tmp24 = std::max(0, tmp23);
2022-11-23T01:30:20.5671048Z                             auto tmp25 = in_ptr0[tmp24 + (32*tmp19) + (2048*i0)];
2022-11-23T01:30:20.5671151Z                             auto tmp26 = std::min(31, tmp16);
2022-11-23T01:30:20.5671254Z                             auto tmp27 = std::max(0, tmp26);
2022-11-23T01:30:20.5671371Z                             auto tmp28 = in_ptr0[tmp27 + (32*tmp19) + (2048*i0)];
2022-11-23T01:30:20.5671473Z                             auto tmp29 = std::min(31, tmp17);
2022-11-23T01:30:20.5671575Z                             auto tmp30 = std::max(0, tmp29);
2022-11-23T01:30:20.5671677Z                             auto tmp31 = in_ptr0[tmp30 + (32*tmp19) + (2048*i0)];
2022-11-23T01:30:20.5671773Z                             auto tmp32 = tmp3 + 1.0;
2022-11-23T01:30:20.5671919Z                             auto tmp33 = -0.75 * tmp32;
2022-11-23T01:30:20.5672066Z                             auto tmp34 = tmp33 - -3.75;
2022-11-23T01:30:20.5672163Z                             auto tmp35 = tmp34 * tmp32;
2022-11-23T01:30:20.5672308Z                             auto tmp36 = tmp35 + -6.0;
2022-11-23T01:30:20.5672402Z                             auto tmp37 = tmp36 * tmp32;
2022-11-23T01:30:20.5672536Z                             auto tmp38 = tmp37 - -3.0;
2022-11-23T01:30:20.5672633Z                             auto tmp39 = 1.25 * tmp3;
2022-11-23T01:30:20.5672779Z                             auto tmp40 = tmp39 - 2.25;
2022-11-23T01:30:20.5672875Z                             auto tmp41 = tmp40 * tmp3;
2022-11-23T01:30:20.5672968Z                             auto tmp42 = tmp41 * tmp3;
2022-11-23T01:30:20.5673066Z                             auto tmp43 = tmp42 + 1.0;
2022-11-23T01:30:20.5673209Z                             auto tmp44 = 1.0 - tmp3;
2022-11-23T01:30:20.5673298Z                             auto tmp45 = 1.25 * tmp44;
2022-11-23T01:30:20.5673428Z                             auto tmp46 = tmp45 - 2.25;
2022-11-23T01:30:20.5673525Z                             auto tmp47 = tmp46 * tmp44;
2022-11-23T01:30:20.5673618Z                             auto tmp48 = tmp47 * tmp44;
2022-11-23T01:30:20.5673711Z                             auto tmp49 = tmp48 + 1.0;
2022-11-23T01:30:20.5673890Z                             auto tmp50 = tmp44 + 1.0;
2022-11-23T01:30:20.5674038Z                             auto tmp51 = -0.75 * tmp50;
2022-11-23T01:30:20.5674183Z                             auto tmp52 = tmp51 - -3.75;
2022-11-23T01:30:20.5674265Z                             auto tmp53 = tmp52 * tmp50;
2022-11-23T01:30:20.5674409Z                             auto tmp54 = tmp53 + -6.0;
2022-11-23T01:30:20.5674502Z                             auto tmp55 = tmp54 * tmp50;
2022-11-23T01:30:20.5674646Z                             auto tmp56 = tmp55 - -3.0;
2022-11-23T01:30:20.5674740Z                             auto tmp57 = tmp22 * tmp38;
2022-11-23T01:30:20.5674833Z                             auto tmp58 = tmp25 * tmp43;
2022-11-23T01:30:20.5674924Z                             auto tmp59 = tmp28 * tmp49;
2022-11-23T01:30:20.5675007Z                             auto tmp60 = tmp31 * tmp56;
2022-11-23T01:30:20.5675097Z                             auto tmp61 = tmp59 + tmp60;
2022-11-23T01:30:20.5675189Z                             auto tmp62 = tmp58 + tmp61;
2022-11-23T01:30:20.5675315Z                             auto tmp63 = tmp57 + tmp62;
2022-11-23T01:30:20.5675425Z                             auto tmp64 = std::min(63, tmp11);
2022-11-23T01:30:20.5675529Z                             auto tmp65 = std::max(0, tmp64);
2022-11-23T01:30:20.5675645Z                             auto tmp66 = in_ptr0[tmp21 + (32*tmp65) + (2048*i0)];
2022-11-23T01:30:20.5675761Z                             auto tmp67 = in_ptr0[tmp24 + (32*tmp65) + (2048*i0)];
2022-11-23T01:30:20.5675864Z                             auto tmp68 = in_ptr0[tmp27 + (32*tmp65) + (2048*i0)];
2022-11-23T01:30:20.5675977Z                             auto tmp69 = in_ptr0[tmp30 + (32*tmp65) + (2048*i0)];
2022-11-23T01:30:20.5676102Z                             auto tmp70 = tmp66 * tmp38;
2022-11-23T01:30:20.5676196Z                             auto tmp71 = tmp67 * tmp43;
2022-11-23T01:30:20.5676291Z                             auto tmp72 = tmp68 * tmp49;
2022-11-23T01:30:20.5676384Z                             auto tmp73 = tmp69 * tmp56;
2022-11-23T01:30:20.5676477Z                             auto tmp74 = tmp72 + tmp73;
2022-11-23T01:30:20.5676568Z                             auto tmp75 = tmp71 + tmp74;
2022-11-23T01:30:20.5676648Z                             auto tmp76 = tmp70 + tmp75;
2022-11-23T01:30:20.5676755Z                             auto tmp77 = std::min(63, tmp12);
2022-11-23T01:30:20.5676859Z                             auto tmp78 = std::max(0, tmp77);
2022-11-23T01:30:20.5676976Z                             auto tmp79 = in_ptr0[tmp21 + (32*tmp78) + (2048*i0)];
2022-11-23T01:30:20.5677090Z                             auto tmp80 = in_ptr0[tmp24 + (32*tmp78) + (2048*i0)];
2022-11-23T01:30:20.5677203Z                             auto tmp81 = in_ptr0[tmp27 + (32*tmp78) + (2048*i0)];
2022-11-23T01:30:20.5677320Z                             auto tmp82 = in_ptr0[tmp30 + (32*tmp78) + (2048*i0)];
2022-11-23T01:30:20.5677413Z                             auto tmp83 = tmp79 * tmp38;
2022-11-23T01:30:20.5677494Z                             auto tmp84 = tmp80 * tmp43;
2022-11-23T01:30:20.5677588Z                             auto tmp85 = tmp81 * tmp49;
2022-11-23T01:30:20.5677679Z                             auto tmp86 = tmp82 * tmp56;
2022-11-23T01:30:20.5677774Z                             auto tmp87 = tmp85 + tmp86;
2022-11-23T01:30:20.5677866Z                             auto tmp88 = tmp84 + tmp87;
2022-11-23T01:30:20.5677957Z                             auto tmp89 = tmp83 + tmp88;
2022-11-23T01:30:20.5678060Z                             auto tmp90 = std::min(63, tmp13);
2022-11-23T01:30:20.5678151Z                             auto tmp91 = std::max(0, tmp90);
2022-11-23T01:30:20.5678264Z                             auto tmp92 = in_ptr0[tmp21 + (32*tmp91) + (2048*i0)];
2022-11-23T01:30:20.5678378Z                             auto tmp93 = in_ptr0[tmp24 + (32*tmp91) + (2048*i0)];
2022-11-23T01:30:20.5678490Z                             auto tmp94 = in_ptr0[tmp27 + (32*tmp91) + (2048*i0)];
2022-11-23T01:30:20.5678601Z                             auto tmp95 = in_ptr0[tmp30 + (32*tmp91) + (2048*i0)];
2022-11-23T01:30:20.5678697Z                             auto tmp96 = tmp92 * tmp38;
2022-11-23T01:30:20.5678789Z                             auto tmp97 = tmp93 * tmp43;
2022-11-23T01:30:20.5678882Z                             auto tmp98 = tmp94 * tmp49;
2022-11-23T01:30:20.5678963Z                             auto tmp99 = tmp95 * tmp56;
2022-11-23T01:30:20.5679060Z                             auto tmp100 = tmp98 + tmp99;
2022-11-23T01:30:20.5679155Z                             auto tmp101 = tmp97 + tmp100;
2022-11-23T01:30:20.5679251Z                             auto tmp102 = tmp96 + tmp101;
2022-11-23T01:30:20.5679345Z                             auto tmp103 = tmp7 + 1.0;
2022-11-23T01:30:20.5679494Z                             auto tmp104 = -0.75 * tmp103;
2022-11-23T01:30:20.5679645Z                             auto tmp105 = tmp104 - -3.75;
2022-11-23T01:30:20.5679743Z                             auto tmp106 = tmp105 * tmp103;
2022-11-23T01:30:20.5679922Z                             auto tmp107 = tmp106 + -6.0;
2022-11-23T01:30:20.5680020Z                             auto tmp108 = tmp107 * tmp103;
2022-11-23T01:30:20.5680168Z                             auto tmp109 = tmp108 - -3.0;
2022-11-23T01:30:20.5680261Z                             auto tmp110 = 1.25 * tmp7;
2022-11-23T01:30:20.5680409Z                             auto tmp111 = tmp110 - 2.25;
2022-11-23T01:30:20.5680503Z                             auto tmp112 = tmp111 * tmp7;
2022-11-23T01:30:20.5680597Z                             auto tmp113 = tmp112 * tmp7;
2022-11-23T01:30:20.5680677Z                             auto tmp114 = tmp113 + 1.0;
2022-11-23T01:30:20.5680820Z                             auto tmp115 = 1.0 - tmp7;
2022-11-23T01:30:20.5680940Z                             auto tmp116 = 1.25 * tmp115;
2022-11-23T01:30:20.5681089Z                             auto tmp117 = tmp116 - 2.25;
2022-11-23T01:30:20.5681189Z                             auto tmp118 = tmp117 * tmp115;
2022-11-23T01:30:20.5681290Z                             auto tmp119 = tmp118 * tmp115;
2022-11-23T01:30:20.5681385Z                             auto tmp120 = tmp119 + 1.0;
2022-11-23T01:30:20.5681482Z                             auto tmp121 = tmp115 + 1.0;
2022-11-23T01:30:20.5681619Z                             auto tmp122 = -0.75 * tmp121;
2022-11-23T01:30:20.5681769Z                             auto tmp123 = tmp122 - -3.75;
2022-11-23T01:30:20.5681868Z                             auto tmp124 = tmp123 * tmp121;
2022-11-23T01:30:20.5682016Z                             auto tmp125 = tmp124 + -6.0;
2022-11-23T01:30:20.5682117Z                             auto tmp126 = tmp125 * tmp121;
2022-11-23T01:30:20.5682268Z                             auto tmp127 = tmp126 - -3.0;
2022-11-23T01:30:20.5682366Z                             auto tmp128 = tmp63 * tmp109;
2022-11-23T01:30:20.5682450Z                             auto tmp129 = tmp76 * tmp114;
2022-11-23T01:30:20.5682546Z                             auto tmp130 = tmp89 * tmp120;
2022-11-23T01:30:20.5682646Z                             auto tmp131 = tmp102 * tmp127;
2022-11-23T01:30:20.5682744Z                             auto tmp132 = tmp130 + tmp131;
2022-11-23T01:30:20.5682841Z                             auto tmp133 = tmp129 + tmp132;
2022-11-23T01:30:20.5682938Z                             auto tmp134 = tmp128 + tmp133;
2022-11-23T01:30:20.5683047Z                             out_ptr0[i2 + (128*i1) + (16384*i0)] = tmp134;
2022-11-23T01:30:20.5683120Z                         }
2022-11-23T01:30:20.5683176Z                     }
2022-11-23T01:30:20.5683242Z                 }
2022-11-23T01:30:20.5683309Z             }
2022-11-23T01:30:20.5683373Z         }
2022-11-23T01:30:20.5683453Z         #pragma omp for 
2022-11-23T01:30:20.5683536Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.5683587Z         {
2022-11-23T01:30:20.5683667Z             #pragma GCC ivdep
2022-11-23T01:30:20.5683754Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:30:20.5683821Z             {
2022-11-23T01:30:20.5683906Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5683996Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T01:30:20.5684062Z                 {
2022-11-23T01:30:20.5684115Z                     {
2022-11-23T01:30:20.5684183Z                         {
2022-11-23T01:30:20.5684294Z                             auto tmp0 = static_cast<float>(i2);
2022-11-23T01:30:20.5684390Z                             auto tmp1 = tmp0 + 0.5;
2022-11-23T01:30:20.5684483Z                             auto tmp2 = 0.125 * tmp1;
2022-11-23T01:30:20.5684624Z                             auto tmp3 = tmp2 - 0.5;
2022-11-23T01:30:20.5684728Z                             auto tmp4 = std::floor(tmp3);
2022-11-23T01:30:20.5684863Z                             auto tmp5 = tmp3 - tmp4;
2022-11-23T01:30:20.5684972Z                             auto tmp6 = static_cast<float>(i1);
2022-11-23T01:30:20.5685063Z                             auto tmp7 = tmp6 + 0.5;
2022-11-23T01:30:20.5685154Z                             auto tmp8 = 0.5 * tmp7;
2022-11-23T01:30:20.5685326Z                             auto tmp9 = tmp8 - 0.5;
2022-11-23T01:30:20.5685432Z                             auto tmp10 = std::floor(tmp9);
2022-11-23T01:30:20.5685580Z                             auto tmp11 = tmp9 - tmp10;
2022-11-23T01:30:20.5685690Z                             auto tmp12 = static_cast<int>(tmp10);
2022-11-23T01:30:20.5685784Z                             auto tmp13 = static_cast<int>(tmp4);
2022-11-23T01:30:20.5685930Z                             auto tmp14 = tmp12 + -1;
2022-11-23T01:30:20.5686024Z                             auto tmp15 = tmp12 + 0;
2022-11-23T01:30:20.5686116Z                             auto tmp16 = tmp12 + 1;
2022-11-23T01:30:20.5686237Z                             auto tmp17 = tmp12 + 2;
2022-11-23T01:30:20.5686381Z                             auto tmp18 = tmp13 + -1;
2022-11-23T01:30:20.5686473Z                             auto tmp19 = tmp13 + 0;
2022-11-23T01:30:20.5686549Z                             auto tmp20 = tmp13 + 1;
2022-11-23T01:30:20.5686641Z                             auto tmp21 = tmp13 + 2;
2022-11-23T01:30:20.5686749Z                             auto tmp22 = std::min(63, tmp14);
2022-11-23T01:30:20.5686851Z                             auto tmp23 = std::max(0, tmp22);
2022-11-23T01:30:20.5686954Z                             auto tmp24 = std::min(31, tmp18);
2022-11-23T01:30:20.5687056Z                             auto tmp25 = std::max(0, tmp24);
2022-11-23T01:30:20.5687177Z                             auto tmp26 = in_ptr0[tmp25 + (32*tmp23) + (2048*i0)];
2022-11-23T01:30:20.5687279Z                             auto tmp27 = std::min(31, tmp19);
2022-11-23T01:30:20.5687369Z                             auto tmp28 = std::max(0, tmp27);
2022-11-23T01:30:20.5687488Z                             auto tmp29 = in_ptr0[tmp28 + (32*tmp23) + (2048*i0)];
2022-11-23T01:30:20.5687590Z                             auto tmp30 = std::min(31, tmp20);
2022-11-23T01:30:20.5687693Z                             auto tmp31 = std::max(0, tmp30);
2022-11-23T01:30:20.5687811Z                             auto tmp32 = in_ptr0[tmp31 + (32*tmp23) + (2048*i0)];
2022-11-23T01:30:20.5687913Z                             auto tmp33 = std::min(31, tmp21);
2022-11-23T01:30:20.5688014Z                             auto tmp34 = std::max(0, tmp33);
2022-11-23T01:30:20.5688128Z                             auto tmp35 = in_ptr0[tmp34 + (32*tmp23) + (2048*i0)];
2022-11-23T01:30:20.5688209Z                             auto tmp36 = tmp5 + 1.0;
2022-11-23T01:30:20.5688353Z                             auto tmp37 = -0.75 * tmp36;
2022-11-23T01:30:20.5688498Z                             auto tmp38 = tmp37 - -3.75;
2022-11-23T01:30:20.5688594Z                             auto tmp39 = tmp38 * tmp36;
2022-11-23T01:30:20.5688736Z                             auto tmp40 = tmp39 + -6.0;
2022-11-23T01:30:20.5688828Z                             auto tmp41 = tmp40 * tmp36;
2022-11-23T01:30:20.5688972Z                             auto tmp42 = tmp41 - -3.0;
2022-11-23T01:30:20.5689067Z                             auto tmp43 = 1.25 * tmp5;
2022-11-23T01:30:20.5689200Z                             auto tmp44 = tmp43 - 2.25;
2022-11-23T01:30:20.5689291Z                             auto tmp45 = tmp44 * tmp5;
2022-11-23T01:30:20.5689383Z                             auto tmp46 = tmp45 * tmp5;
2022-11-23T01:30:20.5689477Z                             auto tmp47 = tmp46 + 1.0;
2022-11-23T01:30:20.5689620Z                             auto tmp48 = 1.0 - tmp5;
2022-11-23T01:30:20.5689710Z                             auto tmp49 = 1.25 * tmp48;
2022-11-23T01:30:20.5689853Z                             auto tmp50 = tmp49 - 2.25;
2022-11-23T01:30:20.5689935Z                             auto tmp51 = tmp50 * tmp48;
2022-11-23T01:30:20.5690030Z                             auto tmp52 = tmp51 * tmp48;
2022-11-23T01:30:20.5690123Z                             auto tmp53 = tmp52 + 1.0;
2022-11-23T01:30:20.5690215Z                             auto tmp54 = tmp48 + 1.0;
2022-11-23T01:30:20.5690358Z                             auto tmp55 = -0.75 * tmp54;
2022-11-23T01:30:20.5690528Z                             auto tmp56 = tmp55 - -3.75;
2022-11-23T01:30:20.5690620Z                             auto tmp57 = tmp56 * tmp54;
2022-11-23T01:30:20.5690752Z                             auto tmp58 = tmp57 + -6.0;
2022-11-23T01:30:20.5690845Z                             auto tmp59 = tmp58 * tmp54;
2022-11-23T01:30:20.5690987Z                             auto tmp60 = tmp59 - -3.0;
2022-11-23T01:30:20.5691078Z                             auto tmp61 = tmp26 * tmp42;
2022-11-23T01:30:20.5691170Z                             auto tmp62 = tmp29 * tmp47;
2022-11-23T01:30:20.5691260Z                             auto tmp63 = tmp32 * tmp53;
2022-11-23T01:30:20.5691379Z                             auto tmp64 = tmp35 * tmp60;
2022-11-23T01:30:20.5691468Z                             auto tmp65 = tmp63 + tmp64;
2022-11-23T01:30:20.5691547Z                             auto tmp66 = tmp62 + tmp65;
2022-11-23T01:30:20.5691637Z                             auto tmp67 = tmp61 + tmp66;
2022-11-23T01:30:20.5691743Z                             auto tmp68 = std::min(63, tmp15);
2022-11-23T01:30:20.5691846Z                             auto tmp69 = std::max(0, tmp68);
2022-11-23T01:30:20.5691961Z                             auto tmp70 = in_ptr0[tmp25 + (32*tmp69) + (2048*i0)];
2022-11-23T01:30:20.5692074Z                             auto tmp71 = in_ptr0[tmp28 + (32*tmp69) + (2048*i0)];
2022-11-23T01:30:20.5692190Z                             auto tmp72 = in_ptr0[tmp31 + (32*tmp69) + (2048*i0)];
2022-11-23T01:30:20.5692301Z                             auto tmp73 = in_ptr0[tmp34 + (32*tmp69) + (2048*i0)];
2022-11-23T01:30:20.5692386Z                             auto tmp74 = tmp70 * tmp42;
2022-11-23T01:30:20.5692480Z                             auto tmp75 = tmp71 * tmp47;
2022-11-23T01:30:20.5692572Z                             auto tmp76 = tmp72 * tmp53;
2022-11-23T01:30:20.5692663Z                             auto tmp77 = tmp73 * tmp60;
2022-11-23T01:30:20.5692756Z                             auto tmp78 = tmp76 + tmp77;
2022-11-23T01:30:20.5692846Z                             auto tmp79 = tmp75 + tmp78;
2022-11-23T01:30:20.5692935Z                             auto tmp80 = tmp74 + tmp79;
2022-11-23T01:30:20.5693027Z                             auto tmp81 = std::min(63, tmp16);
2022-11-23T01:30:20.5693129Z                             auto tmp82 = std::max(0, tmp81);
2022-11-23T01:30:20.5693242Z                             auto tmp83 = in_ptr0[tmp25 + (32*tmp82) + (2048*i0)];
2022-11-23T01:30:20.5693356Z                             auto tmp84 = in_ptr0[tmp28 + (32*tmp82) + (2048*i0)];
2022-11-23T01:30:20.5693468Z                             auto tmp85 = in_ptr0[tmp31 + (32*tmp82) + (2048*i0)];
2022-11-23T01:30:20.5693583Z                             auto tmp86 = in_ptr0[tmp34 + (32*tmp82) + (2048*i0)];
2022-11-23T01:30:20.5693675Z                             auto tmp87 = tmp83 * tmp42;
2022-11-23T01:30:20.5693767Z                             auto tmp88 = tmp84 * tmp47;
2022-11-23T01:30:20.5693848Z                             auto tmp89 = tmp85 * tmp53;
2022-11-23T01:30:20.5693940Z                             auto tmp90 = tmp86 * tmp60;
2022-11-23T01:30:20.5694031Z                             auto tmp91 = tmp89 + tmp90;
2022-11-23T01:30:20.5694123Z                             auto tmp92 = tmp88 + tmp91;
2022-11-23T01:30:20.5694213Z                             auto tmp93 = tmp87 + tmp92;
2022-11-23T01:30:20.5694314Z                             auto tmp94 = std::min(63, tmp17);
2022-11-23T01:30:20.5694417Z                             auto tmp95 = std::max(0, tmp94);
2022-11-23T01:30:20.5694531Z                             auto tmp96 = in_ptr0[tmp25 + (32*tmp95) + (2048*i0)];
2022-11-23T01:30:20.5694633Z                             auto tmp97 = in_ptr0[tmp28 + (32*tmp95) + (2048*i0)];
2022-11-23T01:30:20.5694745Z                             auto tmp98 = in_ptr0[tmp31 + (32*tmp95) + (2048*i0)];
2022-11-23T01:30:20.5694857Z                             auto tmp99 = in_ptr0[tmp34 + (32*tmp95) + (2048*i0)];
2022-11-23T01:30:20.5694982Z                             auto tmp100 = tmp96 * tmp42;
2022-11-23T01:30:20.5695081Z                             auto tmp101 = tmp97 * tmp47;
2022-11-23T01:30:20.5695176Z                             auto tmp102 = tmp98 * tmp53;
2022-11-23T01:30:20.5695269Z                             auto tmp103 = tmp99 * tmp60;
2022-11-23T01:30:20.5695367Z                             auto tmp104 = tmp102 + tmp103;
2022-11-23T01:30:20.5695452Z                             auto tmp105 = tmp101 + tmp104;
2022-11-23T01:30:20.5695547Z                             auto tmp106 = tmp100 + tmp105;
2022-11-23T01:30:20.5695644Z                             auto tmp107 = tmp11 + 1.0;
2022-11-23T01:30:20.5695821Z                             auto tmp108 = -0.75 * tmp107;
2022-11-23T01:30:20.5695973Z                             auto tmp109 = tmp108 - -3.75;
2022-11-23T01:30:20.5696071Z                             auto tmp110 = tmp109 * tmp107;
2022-11-23T01:30:20.5696216Z                             auto tmp111 = tmp110 + -6.0;
2022-11-23T01:30:20.5696302Z                             auto tmp112 = tmp111 * tmp107;
2022-11-23T01:30:20.5696586Z                             auto tmp113 = tmp112 - -3.0;
2022-11-23T01:30:20.5696681Z                             auto tmp114 = 1.25 * tmp11;
2022-11-23T01:30:20.5696831Z                             auto tmp115 = tmp114 - 2.25;
2022-11-23T01:30:20.5696927Z                             auto tmp116 = tmp115 * tmp11;
2022-11-23T01:30:20.5697023Z                             auto tmp117 = tmp116 * tmp11;
2022-11-23T01:30:20.5697116Z                             auto tmp118 = tmp117 + 1.0;
2022-11-23T01:30:20.5697261Z                             auto tmp119 = 1.0 - tmp11;
2022-11-23T01:30:20.5697346Z                             auto tmp120 = 1.25 * tmp119;
2022-11-23T01:30:20.5697494Z                             auto tmp121 = tmp120 - 2.25;
2022-11-23T01:30:20.5697592Z                             auto tmp122 = tmp121 * tmp119;
2022-11-23T01:30:20.5697691Z                             auto tmp123 = tmp122 * tmp119;
2022-11-23T01:30:20.5697783Z                             auto tmp124 = tmp123 + 1.0;
2022-11-23T01:30:20.5697876Z                             auto tmp125 = tmp119 + 1.0;
2022-11-23T01:30:20.5698024Z                             auto tmp126 = -0.75 * tmp125;
2022-11-23T01:30:20.5698160Z                             auto tmp127 = tmp126 - -3.75;
2022-11-23T01:30:20.5698255Z                             auto tmp128 = tmp127 * tmp125;
2022-11-23T01:30:20.5698404Z                             auto tmp129 = tmp128 + -6.0;
2022-11-23T01:30:20.5698501Z                             auto tmp130 = tmp129 * tmp125;
2022-11-23T01:30:20.5698652Z                             auto tmp131 = tmp130 - -3.0;
2022-11-23T01:30:20.5698744Z                             auto tmp132 = tmp67 * tmp113;
2022-11-23T01:30:20.5698838Z                             auto tmp133 = tmp80 * tmp118;
2022-11-23T01:30:20.5698921Z                             auto tmp134 = tmp93 * tmp124;
2022-11-23T01:30:20.5699019Z                             auto tmp135 = tmp106 * tmp131;
2022-11-23T01:30:20.5699113Z                             auto tmp136 = tmp134 + tmp135;
2022-11-23T01:30:20.5699207Z                             auto tmp137 = tmp133 + tmp136;
2022-11-23T01:30:20.5699300Z                             auto tmp138 = tmp132 + tmp137;
2022-11-23T01:30:20.5699406Z                             out_ptr1[i2 + (256*i1) + (32768*i0)] = tmp138;
2022-11-23T01:30:20.5699473Z                         }
2022-11-23T01:30:20.5699539Z                     }
2022-11-23T01:30:20.5699592Z                 }
2022-11-23T01:30:20.5699654Z             }
2022-11-23T01:30:20.5699715Z         }
2022-11-23T01:30:20.5699778Z     }
2022-11-23T01:30:20.5699837Z }
2022-11-23T01:30:20.5699913Z ''')
2022-11-23T01:30:20.5699920Z 
2022-11-23T01:30:20.5699924Z 
2022-11-23T01:30:20.5700014Z async_compile.wait(globals())
2022-11-23T01:30:20.5700073Z del async_compile
2022-11-23T01:30:20.5700077Z 
2022-11-23T01:30:20.5700146Z def call(args):
2022-11-23T01:30:20.5700214Z     arg0_1, = args
2022-11-23T01:30:20.5700335Z     args.clear()
2022-11-23T01:30:20.5700569Z     buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5700788Z     buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5700952Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.5701008Z     del arg0_1
2022-11-23T01:30:20.5701084Z     return (buf0, buf1, )
2022-11-23T01:30:20.5701089Z 
2022-11-23T01:30:20.5701093Z 
2022-11-23T01:30:20.5701171Z if __name__ == "__main__":
2022-11-23T01:30:20.5701319Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5701441Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5701661Z     arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5701765Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5702136Z [2022-11-23 01:28:22,412] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gn/cgng74arkbnxsslwqxsu2uqkawy74xdse5b7elby2ikdkwdv57hl.py
2022-11-23T01:30:20.5702403Z [2022-11-23 01:28:22,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 405
2022-11-23T01:30:20.5702409Z 
2022-11-23T01:30:20.5702464Z ok (2.356s)
2022-11-23T01:30:20.5702789Z   test_upsample_bilinear2d_a_cpu (__main__.CpuTests) ... [2022-11-23 01:28:22,427] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5703104Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5703321Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5703573Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5703849Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5704164Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5704507Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5704825Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5705200Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e03a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007> 
2022-11-23T01:30:20.5705282Z  3009           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5705395Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:30:20.5705485Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5705575Z                6 LOAD_CONST               1 (45)
2022-11-23T01:30:20.5705664Z                8 LOAD_CONST               1 (45)
2022-11-23T01:30:20.5705749Z               10 BUILD_LIST               2
2022-11-23T01:30:20.5705840Z               12 LOAD_CONST               2 (False)
2022-11-23T01:30:20.5705929Z               14 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5706003Z               16 CALL_METHOD              4
2022-11-23T01:30:20.5706011Z 
2022-11-23T01:30:20.5706099Z 3010          18 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5706210Z               20 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:30:20.5706301Z               22 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5706389Z               24 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5706507Z               26 LOAD_CONST               3 (True)
2022-11-23T01:30:20.5706595Z               28 LOAD_CONST               4 (2.0)
2022-11-23T01:30:20.5706672Z               30 LOAD_CONST               4 (2.0)
2022-11-23T01:30:20.5706756Z               32 BUILD_LIST               2
2022-11-23T01:30:20.5706841Z               34 CALL_METHOD              4
2022-11-23T01:30:20.5706846Z 
2022-11-23T01:30:20.5706931Z 3008          36 BUILD_TUPLE              2
2022-11-23T01:30:20.5707006Z               38 RETURN_VALUE
2022-11-23T01:30:20.5707066Z  
2022-11-23T01:30:20.5707072Z 
2022-11-23T01:30:20.5707390Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3009
2022-11-23T01:30:20.5707634Z [2022-11-23 01:28:22,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5707952Z [2022-11-23 01:28:22,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5708227Z [2022-11-23 01:28:22,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:30:20.5708535Z [2022-11-23 01:28:22,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:30:20.5708880Z [2022-11-23 01:28:22,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5709258Z [2022-11-23 01:28:22,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5709592Z [2022-11-23 01:28:22,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5709963Z [2022-11-23 01:28:22,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:30:20.5710383Z [2022-11-23 01:28:22,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5710696Z [2022-11-23 01:28:22,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3010
2022-11-23T01:30:20.5710939Z [2022-11-23 01:28:22,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.5711290Z [2022-11-23 01:28:22,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5711592Z [2022-11-23 01:28:22,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:30:20.5711913Z [2022-11-23 01:28:22,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:30:20.5712289Z [2022-11-23 01:28:22,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5712708Z [2022-11-23 01:28:22,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:30:20.5713195Z [2022-11-23 01:28:22,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:30:20.5713696Z [2022-11-23 01:28:22,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:30:20.5714217Z [2022-11-23 01:28:22,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:30:20.5714535Z [2022-11-23 01:28:22,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3008
2022-11-23T01:30:20.5714844Z [2022-11-23 01:28:22,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5715093Z [2022-11-23 01:28:22,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5715471Z [2022-11-23 01:28:22,481] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e03a0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3007>
2022-11-23T01:30:20.5715716Z [2022-11-23 01:28:22,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5715951Z [2022-11-23 01:28:22,481] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5716207Z [2022-11-23 01:28:22,483] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5716443Z [2022-11-23 01:28:22,518] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5716632Z [2022-11-23 01:28:22,518] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5716765Z  __compiled_fn_414 <eval_with_key>.3298 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5716856Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5717019Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, [45, 45], False, None), {}
2022-11-23T01:30:20.5717182Z call_function, upsample_bilinear2d_1, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:30:20.5717325Z output, output, output, ((upsample_bilinear2d, upsample_bilinear2d_1),), {}
2022-11-23T01:30:20.5717331Z 
2022-11-23T01:30:20.5717654Z [2022-11-23 01:28:22,519] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5717749Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5717829Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5717916Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5718008Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5718093Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5718185Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5718260Z              12 RETURN_VALUE
2022-11-23T01:30:20.5718265Z 
2022-11-23T01:30:20.5718326Z  
2022-11-23T01:30:20.5718636Z [2022-11-23 01:28:22,519] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5718742Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_414)
2022-11-23T01:30:20.5718831Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5718920Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5718995Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5719083Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5719184Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5719284Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5719360Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5719476Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5719575Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5719662Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5719736Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5719821Z              24 BUILD_TUPLE              2
2022-11-23T01:30:20.5719894Z              26 RETURN_VALUE
2022-11-23T01:30:20.5719899Z 
2022-11-23T01:30:20.5719947Z  
2022-11-23T01:30:20.5720128Z [2022-11-23 01:28:22,520] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5720197Z  - 
2022-11-23T01:30:20.5720318Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5720413Z             {
2022-11-23T01:30:20.5720557Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5720745Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5720851Z                 'obj_weakref': None
2022-11-23T01:30:20.5721079Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5721145Z             }
2022-11-23T01:30:20.5721216Z             
2022-11-23T01:30:20.5721285Z  - 
2022-11-23T01:30:20.5721410Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5721474Z             {
2022-11-23T01:30:20.5721604Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5721710Z                 'code': None,
2022-11-23T01:30:20.5721924Z                 'obj_weakref': <weakref at 0x7ff58f99a4d0; to 'Tensor' at 0x7ff57ef7a8e0>
2022-11-23T01:30:20.5722179Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5722246Z             }
2022-11-23T01:30:20.5722310Z             
2022-11-23T01:30:20.5722380Z  - 
2022-11-23T01:30:20.5722498Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5722561Z             {
2022-11-23T01:30:20.5722698Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5722868Z                 'code': ['___check_obj_id(model, 140693155901600)'],
2022-11-23T01:30:20.5722989Z                 'obj_weakref': None
2022-11-23T01:30:20.5723218Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5723283Z             }
2022-11-23T01:30:20.5723333Z             
2022-11-23T01:30:20.5723403Z  - 
2022-11-23T01:30:20.5723524Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5723589Z             {
2022-11-23T01:30:20.5723726Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5723945Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5724067Z                 'obj_weakref': None
2022-11-23T01:30:20.5724273Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5724337Z             }
2022-11-23T01:30:20.5724400Z             
2022-11-23T01:30:20.5724469Z  - 
2022-11-23T01:30:20.5724602Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.5724666Z             {
2022-11-23T01:30:20.5724787Z                 'guard_types': None,
2022-11-23T01:30:20.5724881Z                 'code': None,
2022-11-23T01:30:20.5724999Z                 'obj_weakref': None
2022-11-23T01:30:20.5725120Z                 'guarded_class': None
2022-11-23T01:30:20.5725185Z             }
2022-11-23T01:30:20.5725248Z             
2022-11-23T01:30:20.5725506Z [2022-11-23 01:28:22,558] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 406
2022-11-23T01:30:20.5725722Z [2022-11-23 01:28:22,560] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:30:20.5725819Z   target: aten.upsample_bilinear2d.default
2022-11-23T01:30:20.5725909Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:30:20.5726176Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[2, 4, 37, 38], stride=[5624, 1406, 38, 1]))
2022-11-23T01:30:20.5726240Z   ))
2022-11-23T01:30:20.5726311Z   args[1]: [45, 45]
2022-11-23T01:30:20.5726409Z   args[2]: False
2022-11-23T01:30:20.5726745Z [2022-11-23 01:28:22,560] torch._inductor.lowering: [WARNING] make_fallback(aten.upsample_bilinear2d.default): a decomposition exists, we should switch to it
2022-11-23T01:30:20.5727012Z [2022-11-23 01:28:22,580] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:30:20.5727286Z [2022-11-23 01:28:22,596] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:30:20.5727657Z [2022-11-23 01:28:22,600] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6jwthtvlfgybyqb2nevaigxcgibtxfdnojafkjtzoh2r5vizno.py
2022-11-23T01:30:20.5727951Z [2022-11-23 01:28:22,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 406
2022-11-23T01:30:20.5727957Z 
2022-11-23T01:30:20.5728051Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5728118Z import torch
2022-11-23T01:30:20.5728192Z import random
2022-11-23T01:30:20.5728306Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5728424Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5728429Z 
2022-11-23T01:30:20.5728493Z aten = torch.ops.aten
2022-11-23T01:30:20.5728625Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5728716Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5728721Z 
2022-11-23T01:30:20.5728725Z 
2022-11-23T01:30:20.5728812Z async_compile.wait(globals())
2022-11-23T01:30:20.5728883Z del async_compile
2022-11-23T01:30:20.5728888Z 
2022-11-23T01:30:20.5728957Z def call(args):
2022-11-23T01:30:20.5729028Z     arg0_1, = args
2022-11-23T01:30:20.5729097Z     args.clear()
2022-11-23T01:30:20.5729231Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [45, 45], False)
2022-11-23T01:30:20.5729298Z     buf1 = buf0
2022-11-23T01:30:20.5729406Z     assert_size_stride(buf1, (2, 4, 45, 45), (8100, 2025, 45, 1))
2022-11-23T01:30:20.5729471Z     del buf0
2022-11-23T01:30:20.5729623Z     buf2 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [74, 76], True, 2.0, 2.0)
2022-11-23T01:30:20.5729690Z     del arg0_1
2022-11-23T01:30:20.5729754Z     buf3 = buf2
2022-11-23T01:30:20.5729850Z     assert_size_stride(buf3, (2, 4, 74, 76), (22496, 5624, 76, 1))
2022-11-23T01:30:20.5729913Z     del buf2
2022-11-23T01:30:20.5729989Z     return (buf1, buf3, )
2022-11-23T01:30:20.5729994Z 
2022-11-23T01:30:20.5729998Z 
2022-11-23T01:30:20.5730072Z if __name__ == "__main__":
2022-11-23T01:30:20.5730184Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5730302Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5730525Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5730620Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5730636Z 
2022-11-23T01:30:20.5730690Z ok (0.178s)
2022-11-23T01:30:20.5731021Z   test_upsample_bilinear2d_b_cpu (__main__.CpuTests) ... [2022-11-23 01:28:22,605] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5731334Z [2022-11-23 01:28:22,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5731550Z [2022-11-23 01:28:22,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5731800Z [2022-11-23 01:28:22,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5732078Z [2022-11-23 01:28:22,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5732398Z [2022-11-23 01:28:22,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5732799Z [2022-11-23 01:28:22,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5733122Z [2022-11-23 01:28:22,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5733493Z [2022-11-23 01:28:22,606] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e0500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016> 
2022-11-23T01:30:20.5733575Z  3017           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5733686Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:30:20.5733804Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5733896Z                6 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5733987Z                8 LOAD_CONST               1 (True)
2022-11-23T01:30:20.5734077Z               10 LOAD_CONST               2 (2.0)
2022-11-23T01:30:20.5734169Z               12 LOAD_CONST               2 (2.0)
2022-11-23T01:30:20.5734243Z               14 BUILD_LIST               2
2022-11-23T01:30:20.5734329Z               16 CALL_METHOD              4
2022-11-23T01:30:20.5734404Z               18 RETURN_VALUE
2022-11-23T01:30:20.5734466Z  
2022-11-23T01:30:20.5734471Z 
2022-11-23T01:30:20.5734783Z [2022-11-23 01:28:22,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3017
2022-11-23T01:30:20.5735000Z [2022-11-23 01:28:22,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5735331Z [2022-11-23 01:28:22,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5735608Z [2022-11-23 01:28:22,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:30:20.5735914Z [2022-11-23 01:28:22,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:30:20.5736255Z [2022-11-23 01:28:22,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5736765Z [2022-11-23 01:28:22,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:30:20.5737195Z [2022-11-23 01:28:22,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:30:20.5737671Z [2022-11-23 01:28:22,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:30:20.5738090Z [2022-11-23 01:28:22,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:30:20.5738338Z [2022-11-23 01:28:22,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.5738717Z [2022-11-23 01:28:22,631] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e0500, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 3016>
2022-11-23T01:30:20.5738963Z [2022-11-23 01:28:22,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.5739196Z [2022-11-23 01:28:22,631] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5739497Z [2022-11-23 01:28:22,632] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5739746Z [2022-11-23 01:28:22,649] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5739935Z [2022-11-23 01:28:22,650] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5740055Z  __compiled_fn_415 <eval_with_key>.3304 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5740142Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5740305Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:30:20.5740422Z output, output, output, ((upsample_bilinear2d,),), {}
2022-11-23T01:30:20.5740460Z 
2022-11-23T01:30:20.5740784Z [2022-11-23 01:28:22,650] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5740877Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5740968Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5741058Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5741137Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5741222Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5741309Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5741384Z              12 RETURN_VALUE
2022-11-23T01:30:20.5741389Z 
2022-11-23T01:30:20.5741450Z  
2022-11-23T01:30:20.5741770Z [2022-11-23 01:28:22,650] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5741878Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_415)
2022-11-23T01:30:20.5741971Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5742047Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5742122Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5742207Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5742298Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.5742371Z              12 RETURN_VALUE
2022-11-23T01:30:20.5742376Z 
2022-11-23T01:30:20.5742436Z  
2022-11-23T01:30:20.5742616Z [2022-11-23 01:28:22,651] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5742672Z  - 
2022-11-23T01:30:20.5742790Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5742853Z             {
2022-11-23T01:30:20.5742992Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5743181Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5743300Z                 'obj_weakref': None
2022-11-23T01:30:20.5743525Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5743577Z             }
2022-11-23T01:30:20.5743639Z             
2022-11-23T01:30:20.5743706Z  - 
2022-11-23T01:30:20.5743829Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5743891Z             {
2022-11-23T01:30:20.5744033Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5744137Z                 'code': None,
2022-11-23T01:30:20.5744336Z                 'obj_weakref': <weakref at 0x7ff58ff49cb0; to 'Tensor' at 0x7ff57ef7a8e0>
2022-11-23T01:30:20.5744586Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5744648Z             }
2022-11-23T01:30:20.5744709Z             
2022-11-23T01:30:20.5744776Z  - 
2022-11-23T01:30:20.5744903Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5744964Z             {
2022-11-23T01:30:20.5745084Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5745253Z                 'code': ['___check_obj_id(model, 140692862627136)'],
2022-11-23T01:30:20.5745371Z                 'obj_weakref': None
2022-11-23T01:30:20.5745601Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5745665Z             }
2022-11-23T01:30:20.5745756Z             
2022-11-23T01:30:20.5745826Z  - 
2022-11-23T01:30:20.5745933Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5745994Z             {
2022-11-23T01:30:20.5746131Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5746347Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5746462Z                 'obj_weakref': None
2022-11-23T01:30:20.5746681Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5746742Z             }
2022-11-23T01:30:20.5746819Z             
2022-11-23T01:30:20.5746887Z  - 
2022-11-23T01:30:20.5747017Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.5747079Z             {
2022-11-23T01:30:20.5747195Z                 'guard_types': None,
2022-11-23T01:30:20.5747299Z                 'code': None,
2022-11-23T01:30:20.5747414Z                 'obj_weakref': None
2022-11-23T01:30:20.5747525Z                 'guarded_class': None
2022-11-23T01:30:20.5747587Z             }
2022-11-23T01:30:20.5747648Z             
2022-11-23T01:30:20.5747905Z [2022-11-23 01:28:22,670] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 407
2022-11-23T01:30:20.5748189Z [2022-11-23 01:28:22,687] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:30:20.5748557Z [2022-11-23 01:28:22,689] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxihpsvscu7mq7celyuqnjydsd2ow4swyg5c2zawg5wjxnzsn46.py
2022-11-23T01:30:20.5748818Z [2022-11-23 01:28:22,690] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 407
2022-11-23T01:30:20.5748826Z 
2022-11-23T01:30:20.5748918Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5748974Z import torch
2022-11-23T01:30:20.5749042Z import random
2022-11-23T01:30:20.5749155Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5749278Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5749283Z 
2022-11-23T01:30:20.5749359Z aten = torch.ops.aten
2022-11-23T01:30:20.5749491Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5749580Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5749586Z 
2022-11-23T01:30:20.5749590Z 
2022-11-23T01:30:20.5749675Z async_compile.wait(globals())
2022-11-23T01:30:20.5749735Z del async_compile
2022-11-23T01:30:20.5749739Z 
2022-11-23T01:30:20.5749807Z def call(args):
2022-11-23T01:30:20.5749876Z     arg0_1, = args
2022-11-23T01:30:20.5749945Z     args.clear()
2022-11-23T01:30:20.5750101Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [80, 118], True, 2.0, 2.0)
2022-11-23T01:30:20.5750167Z     del arg0_1
2022-11-23T01:30:20.5750232Z     buf1 = buf0
2022-11-23T01:30:20.5750331Z     assert_size_stride(buf1, (1, 2, 80, 118), (18880, 9440, 118, 1))
2022-11-23T01:30:20.5750395Z     del buf0
2022-11-23T01:30:20.5750465Z     return (buf1, )
2022-11-23T01:30:20.5750472Z 
2022-11-23T01:30:20.5750477Z 
2022-11-23T01:30:20.5750552Z if __name__ == "__main__":
2022-11-23T01:30:20.5750662Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5750782Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5751003Z     arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5751098Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5751115Z 
2022-11-23T01:30:20.5751168Z ok (0.089s)
2022-11-23T01:30:20.5751493Z   test_upsample_nearest1d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:22,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5751811Z [2022-11-23 01:28:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5752054Z [2022-11-23 01:28:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5752309Z [2022-11-23 01:28:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5752583Z [2022-11-23 01:28:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5752900Z [2022-11-23 01:28:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5753247Z [2022-11-23 01:28:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5753595Z [2022-11-23 01:28:22,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5754040Z [2022-11-23 01:28:22,695] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f7cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957> 
2022-11-23T01:30:20.5754123Z  2959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5754234Z                2 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:30:20.5754325Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5754419Z                6 LOAD_CONST               1 (74)
2022-11-23T01:30:20.5754507Z                8 BUILD_LIST               1
2022-11-23T01:30:20.5754597Z               10 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5754683Z               12 CALL_METHOD              3
2022-11-23T01:30:20.5754691Z 
2022-11-23T01:30:20.5754769Z 2960          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5754879Z               16 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:30:20.5754968Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5755058Z               20 LOAD_CONST               2 (70)
2022-11-23T01:30:20.5755149Z               22 BUILD_LIST               1
2022-11-23T01:30:20.5755238Z               24 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5755324Z               26 CALL_METHOD              3
2022-11-23T01:30:20.5755329Z 
2022-11-23T01:30:20.5755419Z 2961          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5755515Z               30 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:30:20.5755603Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5755690Z               34 LOAD_CONST               3 (45)
2022-11-23T01:30:20.5755778Z               36 BUILD_LIST               1
2022-11-23T01:30:20.5755868Z               38 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5755953Z               40 CALL_METHOD              3
2022-11-23T01:30:20.5755958Z 
2022-11-23T01:30:20.5756051Z 2962          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5756158Z               44 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:30:20.5756235Z               46 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5756325Z               48 LOAD_CONST               4 (36)
2022-11-23T01:30:20.5756410Z               50 BUILD_LIST               1
2022-11-23T01:30:20.5756500Z               52 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5756583Z               54 CALL_METHOD              3
2022-11-23T01:30:20.5756588Z 
2022-11-23T01:30:20.5756675Z 2963          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5756781Z               58 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:30:20.5756856Z               60 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5756945Z               62 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5757032Z               64 LOAD_CONST               5 (2.0)
2022-11-23T01:30:20.5757117Z               66 BUILD_LIST               1
2022-11-23T01:30:20.5757200Z               68 CALL_METHOD              3
2022-11-23T01:30:20.5757204Z 
2022-11-23T01:30:20.5757288Z 2958          70 BUILD_TUPLE              5
2022-11-23T01:30:20.5757395Z               72 RETURN_VALUE
2022-11-23T01:30:20.5757445Z  
2022-11-23T01:30:20.5757461Z 
2022-11-23T01:30:20.5757771Z [2022-11-23 01:28:22,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2959
2022-11-23T01:30:20.5757987Z [2022-11-23 01:28:22,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5758315Z [2022-11-23 01:28:22,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5758587Z [2022-11-23 01:28:22,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:30:20.5758915Z [2022-11-23 01:28:22,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:30:20.5759256Z [2022-11-23 01:28:22,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5759583Z [2022-11-23 01:28:22,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5759955Z [2022-11-23 01:28:22,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5760265Z [2022-11-23 01:28:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2960
2022-11-23T01:30:20.5760508Z [2022-11-23 01:28:22,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.5760861Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5761151Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:30:20.5761481Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:30:20.5761845Z [2022-11-23 01:28:22,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5762201Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5762609Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5762923Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2961
2022-11-23T01:30:20.5763193Z [2022-11-23 01:28:22,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5763571Z [2022-11-23 01:28:22,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5763895Z [2022-11-23 01:28:22,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:30:20.5764254Z [2022-11-23 01:28:22,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:30:20.5764686Z [2022-11-23 01:28:22,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5765072Z [2022-11-23 01:28:22,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5765504Z [2022-11-23 01:28:22,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5765836Z [2022-11-23 01:28:22,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2962
2022-11-23T01:30:20.5766136Z [2022-11-23 01:28:22,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5766547Z [2022-11-23 01:28:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5766902Z [2022-11-23 01:28:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:30:20.5767291Z [2022-11-23 01:28:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:30:20.5767720Z [2022-11-23 01:28:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5768139Z [2022-11-23 01:28:22,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5768603Z [2022-11-23 01:28:22,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5768915Z [2022-11-23 01:28:22,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2963
2022-11-23T01:30:20.5769242Z [2022-11-23 01:28:22,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5769684Z [2022-11-23 01:28:22,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5770065Z [2022-11-23 01:28:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:30:20.5770486Z [2022-11-23 01:28:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:30:20.5770948Z [2022-11-23 01:28:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5771485Z [2022-11-23 01:28:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:30:20.5771976Z [2022-11-23 01:28:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:30:20.5772280Z [2022-11-23 01:28:22,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2958
2022-11-23T01:30:20.5772627Z [2022-11-23 01:28:22,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5772900Z [2022-11-23 01:28:22,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5773282Z [2022-11-23 01:28:22,731] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f7cb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2957>
2022-11-23T01:30:20.5773527Z [2022-11-23 01:28:22,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5773762Z [2022-11-23 01:28:22,731] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5774018Z [2022-11-23 01:28:22,732] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5774267Z [2022-11-23 01:28:22,736] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5774457Z [2022-11-23 01:28:22,736] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5774591Z  __compiled_fn_416 <eval_with_key>.3310 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5774669Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5774822Z call_function, upsample_nearest1d, aten.upsample_nearest1d, (ex_0_, [74], None), {}
2022-11-23T01:30:20.5774975Z call_function, upsample_nearest1d_1, aten.upsample_nearest1d, (ex_0_, [70], None), {}
2022-11-23T01:30:20.5775119Z call_function, upsample_nearest1d_2, aten.upsample_nearest1d, (ex_0_, [45], None), {}
2022-11-23T01:30:20.5775261Z call_function, upsample_nearest1d_3, aten.upsample_nearest1d, (ex_0_, [36], None), {}
2022-11-23T01:30:20.5775412Z call_function, upsample_nearest1d_4, aten.upsample_nearest1d, (ex_0_, None, [2.0]), {}
2022-11-23T01:30:20.5775626Z output, output, output, ((upsample_nearest1d, upsample_nearest1d_1, upsample_nearest1d_2, upsample_nearest1d_3, upsample_nearest1d_4),), {}
2022-11-23T01:30:20.5775634Z 
2022-11-23T01:30:20.5775959Z [2022-11-23 01:28:22,737] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5776055Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5776134Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5776224Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5776319Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5776525Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5776613Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5776691Z              12 RETURN_VALUE
2022-11-23T01:30:20.5776696Z 
2022-11-23T01:30:20.5776757Z  
2022-11-23T01:30:20.5777066Z [2022-11-23 01:28:22,737] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5777175Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_416)
2022-11-23T01:30:20.5777268Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5777359Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5777438Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5777526Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5777693Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5777795Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5777871Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5777948Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5778047Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5778137Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5778212Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5778309Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5778398Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5778497Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5778597Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5778684Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5778758Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5778859Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5778949Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.5779024Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.5779099Z              42 BUILD_TUPLE              5
2022-11-23T01:30:20.5779173Z              44 RETURN_VALUE
2022-11-23T01:30:20.5779178Z 
2022-11-23T01:30:20.5779239Z  
2022-11-23T01:30:20.5779426Z [2022-11-23 01:28:22,737] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5779497Z  - 
2022-11-23T01:30:20.5779619Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5779683Z             {
2022-11-23T01:30:20.5779813Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5780000Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5780118Z                 'obj_weakref': None
2022-11-23T01:30:20.5780341Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5780404Z             }
2022-11-23T01:30:20.5780466Z             
2022-11-23T01:30:20.5780540Z  - 
2022-11-23T01:30:20.5780649Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5780711Z             {
2022-11-23T01:30:20.5780852Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5780959Z                 'code': None,
2022-11-23T01:30:20.5781171Z                 'obj_weakref': <weakref at 0x7ff58fcd6250; to 'Tensor' at 0x7ff57ff31b20>
2022-11-23T01:30:20.5781422Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5781484Z             }
2022-11-23T01:30:20.5781534Z             
2022-11-23T01:30:20.5781603Z  - 
2022-11-23T01:30:20.5781734Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5781796Z             {
2022-11-23T01:30:20.5781927Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5782093Z                 'code': ['___check_obj_id(model, 140693087079152)'],
2022-11-23T01:30:20.5782211Z                 'obj_weakref': None
2022-11-23T01:30:20.5782430Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5782492Z             }
2022-11-23T01:30:20.5782553Z             
2022-11-23T01:30:20.5782621Z  - 
2022-11-23T01:30:20.5782741Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5782803Z             {
2022-11-23T01:30:20.5782938Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5783139Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5783255Z                 'obj_weakref': None
2022-11-23T01:30:20.5783474Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5783539Z             }
2022-11-23T01:30:20.5783600Z             
2022-11-23T01:30:20.5783666Z  - 
2022-11-23T01:30:20.5783795Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.5783845Z             {
2022-11-23T01:30:20.5783963Z                 'guard_types': None,
2022-11-23T01:30:20.5784099Z                 'code': None,
2022-11-23T01:30:20.5784216Z                 'obj_weakref': None
2022-11-23T01:30:20.5784334Z                 'guarded_class': None
2022-11-23T01:30:20.5784395Z             }
2022-11-23T01:30:20.5784456Z             
2022-11-23T01:30:20.5784702Z [2022-11-23 01:28:22,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 408
2022-11-23T01:30:20.5785067Z [2022-11-23 01:28:24,198] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tv/ctv4t6tfywxshseeeu4kt4iexyby3ozcqurrq4qyb5kt2bv3lci5.py
2022-11-23T01:30:20.5785330Z [2022-11-23 01:28:24,198] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 408
2022-11-23T01:30:20.5785363Z 
2022-11-23T01:30:20.5785456Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5785523Z import torch
2022-11-23T01:30:20.5785591Z import random
2022-11-23T01:30:20.5785705Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5785828Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5785833Z 
2022-11-23T01:30:20.5785898Z aten = torch.ops.aten
2022-11-23T01:30:20.5786030Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5786120Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5786125Z 
2022-11-23T01:30:20.5786129Z 
2022-11-23T01:30:20.5786262Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5786465Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5786582Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5786683Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5786777Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.5786857Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.5786948Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.5787042Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:20.5787101Z {
2022-11-23T01:30:20.5787196Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5787256Z     {
2022-11-23T01:30:20.5787331Z         #pragma omp for 
2022-11-23T01:30:20.5787399Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5787460Z         {
2022-11-23T01:30:20.5787539Z             #pragma GCC ivdep
2022-11-23T01:30:20.5787624Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:30:20.5787687Z             {
2022-11-23T01:30:20.5787749Z                 {
2022-11-23T01:30:20.5787803Z                     {
2022-11-23T01:30:20.5787909Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.5788020Z                         auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:30:20.5788112Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5788216Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5788319Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:30:20.5788414Z                         out_ptr0[i1 + (74*i0)] = tmp4;
2022-11-23T01:30:20.5788508Z                         out_ptr1[i1 + (74*i0)] = tmp4;
2022-11-23T01:30:20.5788561Z                     }
2022-11-23T01:30:20.5788623Z                 }
2022-11-23T01:30:20.5788685Z             }
2022-11-23T01:30:20.5788745Z         }
2022-11-23T01:30:20.5788821Z         #pragma omp for 
2022-11-23T01:30:20.5788900Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5788951Z         {
2022-11-23T01:30:20.5789030Z             #pragma GCC ivdep
2022-11-23T01:30:20.5789113Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:30:20.5789177Z             {
2022-11-23T01:30:20.5789240Z                 {
2022-11-23T01:30:20.5789304Z                     {
2022-11-23T01:30:20.5789408Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.5789508Z                         auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:30:20.5789627Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5789733Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5789836Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:30:20.5789929Z                         out_ptr2[i1 + (70*i0)] = tmp4;
2022-11-23T01:30:20.5789995Z                     }
2022-11-23T01:30:20.5790059Z                 }
2022-11-23T01:30:20.5790109Z             }
2022-11-23T01:30:20.5790170Z         }
2022-11-23T01:30:20.5790244Z         #pragma omp for 
2022-11-23T01:30:20.5790325Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5790386Z         {
2022-11-23T01:30:20.5790491Z             #pragma GCC ivdep
2022-11-23T01:30:20.5790577Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:30:20.5790627Z             {
2022-11-23T01:30:20.5790689Z                 {
2022-11-23T01:30:20.5790753Z                     {
2022-11-23T01:30:20.5790857Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.5790969Z                         auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:30:20.5791064Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5791166Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5791256Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:30:20.5791348Z                         out_ptr3[i1 + (45*i0)] = tmp4;
2022-11-23T01:30:20.5791413Z                     }
2022-11-23T01:30:20.5791475Z                 }
2022-11-23T01:30:20.5791538Z             }
2022-11-23T01:30:20.5791598Z         }
2022-11-23T01:30:20.5791672Z         #pragma omp for 
2022-11-23T01:30:20.5791741Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5791805Z         {
2022-11-23T01:30:20.5791883Z             #pragma GCC ivdep
2022-11-23T01:30:20.5791967Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:30:20.5792029Z             {
2022-11-23T01:30:20.5792092Z                 {
2022-11-23T01:30:20.5792156Z                     {
2022-11-23T01:30:20.5792248Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.5792358Z                         auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:30:20.5792449Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5792552Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5792654Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:30:20.5792745Z                         out_ptr4[i1 + (36*i0)] = tmp4;
2022-11-23T01:30:20.5792809Z                     }
2022-11-23T01:30:20.5792860Z                 }
2022-11-23T01:30:20.5792923Z             }
2022-11-23T01:30:20.5792985Z         }
2022-11-23T01:30:20.5793046Z     }
2022-11-23T01:30:20.5793105Z }
2022-11-23T01:30:20.5793185Z ''')
2022-11-23T01:30:20.5793190Z 
2022-11-23T01:30:20.5793194Z 
2022-11-23T01:30:20.5793281Z async_compile.wait(globals())
2022-11-23T01:30:20.5793339Z del async_compile
2022-11-23T01:30:20.5793344Z 
2022-11-23T01:30:20.5793414Z def call(args):
2022-11-23T01:30:20.5793482Z     arg0_1, = args
2022-11-23T01:30:20.5793551Z     args.clear()
2022-11-23T01:30:20.5793762Z     buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5794048Z     buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5794245Z     buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5794426Z     buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5794620Z     buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5794856Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.5794928Z     del arg0_1
2022-11-23T01:30:20.5795025Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:20.5795063Z 
2022-11-23T01:30:20.5795068Z 
2022-11-23T01:30:20.5795146Z if __name__ == "__main__":
2022-11-23T01:30:20.5795258Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5795379Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5795583Z     arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5795679Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5795684Z 
2022-11-23T01:30:20.5795749Z ok (1.509s)
2022-11-23T01:30:20.5796088Z   test_upsample_nearest2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:28:24,203] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5796436Z [2022-11-23 01:28:24,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5796653Z [2022-11-23 01:28:24,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5796903Z [2022-11-23 01:28:24,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5797179Z [2022-11-23 01:28:24,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5797496Z [2022-11-23 01:28:24,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5797843Z [2022-11-23 01:28:24,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5798163Z [2022-11-23 01:28:24,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5798527Z [2022-11-23 01:28:24,204] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e0240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995> 
2022-11-23T01:30:20.5798622Z  2997           0 LOAD_DEREF               0 (func)
2022-11-23T01:30:20.5798709Z                2 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5798801Z                4 LOAD_CONST               1 (6)
2022-11-23T01:30:20.5798888Z                6 LOAD_CONST               2 (12)
2022-11-23T01:30:20.5798975Z                8 BUILD_LIST               2
2022-11-23T01:30:20.5799060Z               10 BUILD_LIST               0
2022-11-23T01:30:20.5799145Z               12 LOAD_CONST               3 ((3, 3, 3, 6))
2022-11-23T01:30:20.5799231Z               14 LIST_EXTEND              1
2022-11-23T01:30:20.5799410Z               16 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:30:20.5799500Z               18 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.5799506Z 
2022-11-23T01:30:20.5799598Z 2998          20 LOAD_DEREF               0 (func)
2022-11-23T01:30:20.5799687Z               22 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5799773Z               24 LOAD_CONST               1 (6)
2022-11-23T01:30:20.5799861Z               26 LOAD_CONST               2 (12)
2022-11-23T01:30:20.5799936Z               28 BUILD_LIST               2
2022-11-23T01:30:20.5800019Z               30 BUILD_LIST               0
2022-11-23T01:30:20.5800115Z               32 LOAD_CONST               5 ((3, 3, 4, 5))
2022-11-23T01:30:20.5800199Z               34 LIST_EXTEND              1
2022-11-23T01:30:20.5800376Z               36 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:30:20.5800463Z               38 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.5800470Z 
2022-11-23T01:30:20.5800560Z 2999          40 LOAD_DEREF               0 (func)
2022-11-23T01:30:20.5800647Z               42 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5800721Z               44 LOAD_CONST               1 (6)
2022-11-23T01:30:20.5800809Z               46 LOAD_CONST               2 (12)
2022-11-23T01:30:20.5800920Z               48 BUILD_LIST               2
2022-11-23T01:30:20.5801006Z               50 BUILD_LIST               0
2022-11-23T01:30:20.5801100Z               52 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T01:30:20.5801185Z               54 LIST_EXTEND              1
2022-11-23T01:30:20.5801363Z               56 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:30:20.5801438Z               58 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.5801443Z 
2022-11-23T01:30:20.5801533Z 3000          60 LOAD_DEREF               0 (func)
2022-11-23T01:30:20.5801619Z               62 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5801734Z               64 LOAD_CONST               1 (6)
2022-11-23T01:30:20.5801823Z               66 LOAD_CONST               2 (12)
2022-11-23T01:30:20.5801907Z               68 BUILD_LIST               2
2022-11-23T01:30:20.5801990Z               70 BUILD_LIST               0
2022-11-23T01:30:20.5802074Z               72 LOAD_CONST               6 ((3, 3, 2, 8))
2022-11-23T01:30:20.5802158Z               74 LIST_EXTEND              1
2022-11-23T01:30:20.5802333Z               76 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:30:20.5802420Z               78 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.5802426Z 
2022-11-23T01:30:20.5802513Z 3001          80 LOAD_DEREF               0 (func)
2022-11-23T01:30:20.5802599Z               82 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5802686Z               84 LOAD_CONST               1 (6)
2022-11-23T01:30:20.5802774Z               86 LOAD_CONST               2 (12)
2022-11-23T01:30:20.5802847Z               88 BUILD_LIST               2
2022-11-23T01:30:20.5802932Z               90 BUILD_LIST               0
2022-11-23T01:30:20.5803026Z               92 LOAD_CONST               7 ((3, 3, 4, 7))
2022-11-23T01:30:20.5803113Z               94 LIST_EXTEND              1
2022-11-23T01:30:20.5803291Z               96 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:30:20.5803380Z               98 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.5803384Z 
2022-11-23T01:30:20.5803470Z 2996         100 BUILD_TUPLE              5
2022-11-23T01:30:20.5803544Z              102 RETURN_VALUE
2022-11-23T01:30:20.5803593Z  
2022-11-23T01:30:20.5803598Z 
2022-11-23T01:30:20.5803913Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2997
2022-11-23T01:30:20.5804128Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func []
2022-11-23T01:30:20.5804414Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:30:20.5804731Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:30:20.5805087Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5805480Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5805819Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5806197Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 3, 6) [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5806608Z [2022-11-23 01:28:24,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5807056Z [2022-11-23 01:28:24,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5807460Z [2022-11-23 01:28:24,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5807776Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2998
2022-11-23T01:30:20.5808050Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable()]
2022-11-23T01:30:20.5808365Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:30:20.5808712Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:30:20.5809096Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5809519Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5809893Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5810301Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 5) [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5810739Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5811175Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5811625Z [2022-11-23 01:28:24,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5811942Z [2022-11-23 01:28:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2999
2022-11-23T01:30:20.5812216Z [2022-11-23 01:28:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5812542Z [2022-11-23 01:28:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:30:20.5812914Z [2022-11-23 01:28:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:30:20.5813328Z [2022-11-23 01:28:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5813811Z [2022-11-23 01:28:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5814208Z [2022-11-23 01:28:24,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5814642Z [2022-11-23 01:28:24,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5815111Z [2022-11-23 01:28:24,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5815604Z [2022-11-23 01:28:24,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5816082Z [2022-11-23 01:28:24,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5816395Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3000
2022-11-23T01:30:20.5816837Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5817211Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:30:20.5817616Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:30:20.5818060Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5818546Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5818972Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5819439Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 2, 8) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5819935Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5820416Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5820969Z [2022-11-23 01:28:24,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5821284Z [2022-11-23 01:28:24,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:3001
2022-11-23T01:30:20.5821609Z [2022-11-23 01:28:24,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5822007Z [2022-11-23 01:28:24,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:30:20.5822474Z [2022-11-23 01:28:24,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:30:20.5822950Z [2022-11-23 01:28:24,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5823459Z [2022-11-23 01:28:24,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5823911Z [2022-11-23 01:28:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5824410Z [2022-11-23 01:28:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (3, 3, 4, 7) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5824933Z [2022-11-23 01:28:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5825455Z [2022-11-23 01:28:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:30:20.5825992Z [2022-11-23 01:28:24,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.5826307Z [2022-11-23 01:28:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2996
2022-11-23T01:30:20.5826657Z [2022-11-23 01:28:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5826906Z [2022-11-23 01:28:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5827283Z [2022-11-23 01:28:24,213] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e0240, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2995>
2022-11-23T01:30:20.5827525Z [2022-11-23 01:28:24,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5827746Z [2022-11-23 01:28:24,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5828027Z [2022-11-23 01:28:24,215] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5828275Z [2022-11-23 01:28:24,219] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5828461Z [2022-11-23 01:28:24,219] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5828596Z  __compiled_fn_417 <eval_with_key>.3316 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5828686Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5828990Z call_function, upsample_nearest2d_backward, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 3, 6]}
2022-11-23T01:30:20.5829344Z call_function, upsample_nearest2d_backward_1, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 5]}
2022-11-23T01:30:20.5829644Z call_function, upsample_nearest2d_backward_2, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:30:20.5829934Z call_function, upsample_nearest2d_backward_3, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:30:20.5830235Z call_function, upsample_nearest2d_backward_4, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 7]}
2022-11-23T01:30:20.5830493Z output, output, output, ((upsample_nearest2d_backward, upsample_nearest2d_backward_1, upsample_nearest2d_backward_2, upsample_nearest2d_backward_3, upsample_nearest2d_backward_4),), {}
2022-11-23T01:30:20.5830499Z 
2022-11-23T01:30:20.5830824Z [2022-11-23 01:28:24,220] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5830919Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5831008Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5831097Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5831189Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5831272Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5831346Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5831421Z              12 RETURN_VALUE
2022-11-23T01:30:20.5831426Z 
2022-11-23T01:30:20.5831486Z  
2022-11-23T01:30:20.5831810Z [2022-11-23 01:28:24,220] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5831919Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_417)
2022-11-23T01:30:20.5832010Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5832102Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5832178Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5832253Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5832353Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5832479Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.5832575Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.5832659Z              16 CALL_FUNCTION            0
2022-11-23T01:30:20.5832752Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.5832851Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5832926Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5838144Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.5838278Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5838371Z              28 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5838454Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.5838559Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5838635Z              34 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5838711Z              36 BINARY_SUBSCR
2022-11-23T01:30:20.5838813Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5838970Z              40 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5839049Z              42 BINARY_SUBSCR
2022-11-23T01:30:20.5839151Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5839238Z              46 LOAD_CONST               5 (4)
2022-11-23T01:30:20.5839300Z              48 BINARY_SUBSCR
2022-11-23T01:30:20.5839393Z              50 BUILD_TUPLE              5
2022-11-23T01:30:20.5839489Z              52 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5839587Z              54 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.5839675Z              56 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5839781Z              58 BINARY_SUBSCR
2022-11-23T01:30:20.5839882Z              60 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.5839960Z              62 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5840058Z              64 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.5840148Z              66 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5840224Z              68 BINARY_SUBSCR
2022-11-23T01:30:20.5840325Z              70 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.5840399Z              72 RETURN_VALUE
2022-11-23T01:30:20.5840405Z 
2022-11-23T01:30:20.5840466Z  
2022-11-23T01:30:20.5840689Z [2022-11-23 01:28:24,221] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5840748Z  - 
2022-11-23T01:30:20.5840866Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5840930Z             {
2022-11-23T01:30:20.5841072Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5841264Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5841382Z                 'obj_weakref': None
2022-11-23T01:30:20.5841609Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5841662Z             }
2022-11-23T01:30:20.5841730Z             
2022-11-23T01:30:20.5841800Z  - 
2022-11-23T01:30:20.5841925Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5841987Z             {
2022-11-23T01:30:20.5842129Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5842223Z                 'code': None,
2022-11-23T01:30:20.5842439Z                 'obj_weakref': <weakref at 0x7ff58ff4bfb0; to 'Tensor' at 0x7ff57efed3a0>
2022-11-23T01:30:20.5842693Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5842756Z             }
2022-11-23T01:30:20.5842820Z             
2022-11-23T01:30:20.5842888Z  - 
2022-11-23T01:30:20.5843021Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5843084Z             {
2022-11-23T01:30:20.5843239Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5843490Z                 'code': ['___check_obj_id(model, 140692656233280)'],
2022-11-23T01:30:20.5843674Z                 'obj_weakref': None
2022-11-23T01:30:20.5843946Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5844031Z             }
2022-11-23T01:30:20.5844157Z             
2022-11-23T01:30:20.5844497Z  - 
2022-11-23T01:30:20.5844867Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5845059Z             {
2022-11-23T01:30:20.5845285Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5845631Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5845920Z                 'obj_weakref': None
2022-11-23T01:30:20.5846244Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5846476Z             }
2022-11-23T01:30:20.5846633Z             
2022-11-23T01:30:20.5846794Z  - 
2022-11-23T01:30:20.5847053Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:30:20.5847273Z             {
2022-11-23T01:30:20.5847562Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5847894Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140693108540608)'],
2022-11-23T01:30:20.5848303Z                 'obj_weakref': <weakref at 0x7ff58ffd2160; to 'OpOverloadPacket' at 0x7ff5aac1c4c0>
2022-11-23T01:30:20.5848742Z                 'guarded_class': <weakref at 0x7ff5aea39030; to 'type' at 0x56033c615410 (OpOverloadPacket)>
2022-11-23T01:30:20.5848979Z             }
2022-11-23T01:30:20.5849142Z             
2022-11-23T01:30:20.5849507Z [2022-11-23 01:28:24,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 409
2022-11-23T01:30:20.5849743Z 
2022-11-23T01:30:20.5849839Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5850021Z import torch
2022-11-23T01:30:20.5850191Z import random
2022-11-23T01:30:20.5850446Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5850716Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5850859Z 
2022-11-23T01:30:20.5850944Z aten = torch.ops.aten
2022-11-23T01:30:20.5851245Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5851496Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5851624Z 
2022-11-23T01:30:20.5851628Z 
2022-11-23T01:30:20.5851754Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5852089Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5852432Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5852675Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5852893Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.5853111Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.5853329Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.5853528Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:20.5853714Z {
2022-11-23T01:30:20.5853906Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5854088Z     {
2022-11-23T01:30:20.5854253Z         #pragma omp for 
2022-11-23T01:30:20.5854443Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:30:20.5854608Z         {
2022-11-23T01:30:20.5854785Z             #pragma GCC ivdep
2022-11-23T01:30:20.5854980Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.5855144Z             {
2022-11-23T01:30:20.5855318Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5855519Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:30:20.5855686Z                 {
2022-11-23T01:30:20.5855852Z                     {
2022-11-23T01:30:20.5856023Z                         {
2022-11-23T01:30:20.5856229Z                             auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2022-11-23T01:30:20.5856596Z                             auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2022-11-23T01:30:20.5856834Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:20.5857080Z                             auto tmp3 = static_cast<long>(((4 + (12*i2)) / 5));
2022-11-23T01:30:20.5857325Z                             auto tmp4 = static_cast<long>(((16 + (12*i2)) / 5));
2022-11-23T01:30:20.5857565Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:30:20.5857782Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:30:20.5857980Z                             float tmp7 = 0.0;
2022-11-23T01:30:20.5858177Z                             if(tmp6)
2022-11-23T01:30:20.5858362Z                             {
2022-11-23T01:30:20.5858583Z                                 auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:30:20.5858817Z                                 tmp7 = tmp8;
2022-11-23T01:30:20.5859002Z                             }
2022-11-23T01:30:20.5859223Z                             auto tmp9 = static_cast<long>(1 + (((4 + (12*i2)) / 5)));
2022-11-23T01:30:20.5859448Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:30:20.5859737Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:30:20.5859953Z                             float tmp12 = 0.0;
2022-11-23T01:30:20.5860136Z                             if(tmp11)
2022-11-23T01:30:20.5860318Z                             {
2022-11-23T01:30:20.5860551Z                                 auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:30:20.5860772Z                                 tmp12 = tmp13;
2022-11-23T01:30:20.5860960Z                             }
2022-11-23T01:30:20.5861163Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:30:20.5861436Z                             auto tmp15 = static_cast<long>(2 + (((4 + (12*i2)) / 5)));
2022-11-23T01:30:20.5861675Z                             auto tmp16 = tmp15 < tmp4;
2022-11-23T01:30:20.5861896Z                             auto tmp17 = tmp2 & tmp16;
2022-11-23T01:30:20.5862106Z                             float tmp18 = 0.0;
2022-11-23T01:30:20.5862289Z                             if(tmp17)
2022-11-23T01:30:20.5862471Z                             {
2022-11-23T01:30:20.5862700Z                                 auto tmp19 = in_ptr0[2 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:30:20.5862920Z                                 tmp18 = tmp19;
2022-11-23T01:30:20.5863107Z                             }
2022-11-23T01:30:20.5863310Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:30:20.5863540Z                             auto tmp21 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2022-11-23T01:30:20.5863778Z                             auto tmp22 = tmp21 < tmp1;
2022-11-23T01:30:20.5863999Z                             auto tmp23 = tmp22 & tmp5;
2022-11-23T01:30:20.5864216Z                             float tmp24 = 0.0;
2022-11-23T01:30:20.5864395Z                             if(tmp23)
2022-11-23T01:30:20.5864574Z                             {
2022-11-23T01:30:20.5864804Z                                 auto tmp25 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:30:20.5865024Z                                 tmp24 = tmp25;
2022-11-23T01:30:20.5865211Z                             }
2022-11-23T01:30:20.5865405Z                             auto tmp26 = tmp24 + tmp20;
2022-11-23T01:30:20.5865613Z                             auto tmp27 = tmp22 & tmp10;
2022-11-23T01:30:20.5865828Z                             float tmp28 = 0.0;
2022-11-23T01:30:20.5866019Z                             if(tmp27)
2022-11-23T01:30:20.5866187Z                             {
2022-11-23T01:30:20.5866414Z                                 auto tmp29 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:30:20.5866647Z                                 tmp28 = tmp29;
2022-11-23T01:30:20.5866829Z                             }
2022-11-23T01:30:20.5867017Z                             auto tmp30 = tmp28 + tmp26;
2022-11-23T01:30:20.5867238Z                             auto tmp31 = tmp22 & tmp16;
2022-11-23T01:30:20.5867449Z                             float tmp32 = 0.0;
2022-11-23T01:30:20.5867628Z                             if(tmp31)
2022-11-23T01:30:20.5867809Z                             {
2022-11-23T01:30:20.5868037Z                                 auto tmp33 = in_ptr0[14 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:30:20.5868257Z                                 tmp32 = tmp33;
2022-11-23T01:30:20.5868439Z                             }
2022-11-23T01:30:20.5868638Z                             auto tmp34 = tmp32 + tmp30;
2022-11-23T01:30:20.5868851Z                             out_ptr0[i2 + (5*i1) + (20*i0)] = tmp34;
2022-11-23T01:30:20.5869053Z                         }
2022-11-23T01:30:20.5869220Z                     }
2022-11-23T01:30:20.5869383Z                 }
2022-11-23T01:30:20.5869531Z             }
2022-11-23T01:30:20.5869688Z         }
2022-11-23T01:30:20.5869856Z         #pragma omp for 
2022-11-23T01:30:20.5870093Z         for(long i0=0; i0<27; i0+=1)
2022-11-23T01:30:20.5870273Z         {
2022-11-23T01:30:20.5870444Z             #pragma GCC ivdep
2022-11-23T01:30:20.5870628Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:30:20.5870812Z             {
2022-11-23T01:30:20.5870972Z                 {
2022-11-23T01:30:20.5871122Z                     {
2022-11-23T01:30:20.5871328Z                         auto tmp0 = in_ptr0[(2*i1) + (24*i0)];
2022-11-23T01:30:20.5871562Z                         auto tmp1 = in_ptr0[1 + (2*i1) + (24*i0)];
2022-11-23T01:30:20.5871784Z                         auto tmp3 = in_ptr0[12 + (2*i1) + (24*i0)];
2022-11-23T01:30:20.5872024Z                         auto tmp5 = in_ptr0[13 + (2*i1) + (24*i0)];
2022-11-23T01:30:20.5872279Z                         auto tmp2 = tmp1 + tmp0;
2022-11-23T01:30:20.5872486Z                         auto tmp4 = tmp3 + tmp2;
2022-11-23T01:30:20.5872693Z                         auto tmp6 = tmp5 + tmp4;
2022-11-23T01:30:20.5872923Z                         auto tmp7 = static_cast<float>(1.0);
2022-11-23T01:30:20.5873135Z                         auto tmp8 = tmp6 * tmp7;
2022-11-23T01:30:20.5873353Z                         out_ptr1[i1 + (6*i0)] = tmp8;
2022-11-23T01:30:20.5873542Z                     }
2022-11-23T01:30:20.5873708Z                 }
2022-11-23T01:30:20.5873932Z             }
2022-11-23T01:30:20.5874092Z         }
2022-11-23T01:30:20.5874262Z         #pragma omp for 
2022-11-23T01:30:20.5874441Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:30:20.5874616Z         {
2022-11-23T01:30:20.5874789Z             #pragma GCC ivdep
2022-11-23T01:30:20.5874975Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:20.5875160Z             {
2022-11-23T01:30:20.5875337Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5875525Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:30:20.5875706Z                 {
2022-11-23T01:30:20.5875869Z                     {
2022-11-23T01:30:20.5876025Z                         {
2022-11-23T01:30:20.5876237Z                             auto tmp0 = static_cast<long>(3*i1);
2022-11-23T01:30:20.5876490Z                             auto tmp1 = static_cast<long>(3 + (3*i1));
2022-11-23T01:30:20.5876714Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:20.5876954Z                             auto tmp3 = static_cast<long>(((7 + (12*i2)) / 8));
2022-11-23T01:30:20.5877209Z                             auto tmp4 = static_cast<long>(((19 + (12*i2)) / 8));
2022-11-23T01:30:20.5877432Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:30:20.5877647Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:30:20.5877860Z                             float tmp7 = 0.0;
2022-11-23T01:30:20.5878057Z                             if(tmp6)
2022-11-23T01:30:20.5878223Z                             {
2022-11-23T01:30:20.5878445Z                                 auto tmp8 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5878672Z                                 tmp7 = tmp8;
2022-11-23T01:30:20.5878846Z                             }
2022-11-23T01:30:20.5879068Z                             auto tmp9 = static_cast<long>(1 + (((7 + (12*i2)) / 8)));
2022-11-23T01:30:20.5879304Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:30:20.5879509Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:30:20.5879721Z                             float tmp12 = 0.0;
2022-11-23T01:30:20.5879916Z                             if(tmp11)
2022-11-23T01:30:20.5880082Z                             {
2022-11-23T01:30:20.5880306Z                                 auto tmp13 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5880537Z                                 tmp12 = tmp13;
2022-11-23T01:30:20.5880721Z                             }
2022-11-23T01:30:20.5880909Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:30:20.5881149Z                             auto tmp15 = static_cast<long>(1 + (3*i1));
2022-11-23T01:30:20.5881422Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:30:20.5881630Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:30:20.5881841Z                             float tmp18 = 0.0;
2022-11-23T01:30:20.5882039Z                             if(tmp17)
2022-11-23T01:30:20.5882204Z                             {
2022-11-23T01:30:20.5882429Z                                 auto tmp19 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5882657Z                                 tmp18 = tmp19;
2022-11-23T01:30:20.5882843Z                             }
2022-11-23T01:30:20.5883033Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:30:20.5883284Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:30:20.5883496Z                             float tmp22 = 0.0;
2022-11-23T01:30:20.5883678Z                             if(tmp21)
2022-11-23T01:30:20.5883858Z                             {
2022-11-23T01:30:20.5884085Z                                 auto tmp23 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5884303Z                                 tmp22 = tmp23;
2022-11-23T01:30:20.5884489Z                             }
2022-11-23T01:30:20.5884689Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:30:20.5884910Z                             auto tmp25 = static_cast<long>(2 + (3*i1));
2022-11-23T01:30:20.5885145Z                             auto tmp26 = tmp25 < tmp1;
2022-11-23T01:30:20.5885364Z                             auto tmp27 = tmp26 & tmp5;
2022-11-23T01:30:20.5885581Z                             float tmp28 = 0.0;
2022-11-23T01:30:20.5885766Z                             if(tmp27)
2022-11-23T01:30:20.5885949Z                             {
2022-11-23T01:30:20.5886172Z                                 auto tmp29 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5886385Z                                 tmp28 = tmp29;
2022-11-23T01:30:20.5886568Z                             }
2022-11-23T01:30:20.5886774Z                             auto tmp30 = tmp28 + tmp24;
2022-11-23T01:30:20.5886980Z                             auto tmp31 = tmp26 & tmp10;
2022-11-23T01:30:20.5887192Z                             float tmp32 = 0.0;
2022-11-23T01:30:20.5887381Z                             if(tmp31)
2022-11-23T01:30:20.5887548Z                             {
2022-11-23T01:30:20.5887770Z                                 auto tmp33 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5887997Z                                 tmp32 = tmp33;
2022-11-23T01:30:20.5888183Z                             }
2022-11-23T01:30:20.5888375Z                             auto tmp34 = tmp32 + tmp30;
2022-11-23T01:30:20.5888585Z                             float tmp35 = 0.0;
2022-11-23T01:30:20.5888779Z                             if(tmp6)
2022-11-23T01:30:20.5888946Z                             {
2022-11-23T01:30:20.5889171Z                                 auto tmp36 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5889402Z                                 tmp35 = tmp36;
2022-11-23T01:30:20.5889572Z                             }
2022-11-23T01:30:20.5889763Z                             float tmp37 = 0.0;
2022-11-23T01:30:20.5889958Z                             if(tmp11)
2022-11-23T01:30:20.5890125Z                             {
2022-11-23T01:30:20.5890346Z                                 auto tmp38 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5890572Z                                 tmp37 = tmp38;
2022-11-23T01:30:20.5890743Z                             }
2022-11-23T01:30:20.5890947Z                             auto tmp39 = tmp37 + tmp35;
2022-11-23T01:30:20.5891156Z                             float tmp40 = 0.0;
2022-11-23T01:30:20.5891351Z                             if(tmp17)
2022-11-23T01:30:20.5891517Z                             {
2022-11-23T01:30:20.5891771Z                                 auto tmp41 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5892002Z                                 tmp40 = tmp41;
2022-11-23T01:30:20.5892173Z                             }
2022-11-23T01:30:20.5892373Z                             auto tmp42 = tmp40 + tmp39;
2022-11-23T01:30:20.5892583Z                             float tmp43 = 0.0;
2022-11-23T01:30:20.5892765Z                             if(tmp21)
2022-11-23T01:30:20.5892944Z                             {
2022-11-23T01:30:20.5893163Z                                 auto tmp44 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5893378Z                                 tmp43 = tmp44;
2022-11-23T01:30:20.5893592Z                             }
2022-11-23T01:30:20.5893790Z                             auto tmp45 = tmp43 + tmp42;
2022-11-23T01:30:20.5894001Z                             float tmp46 = 0.0;
2022-11-23T01:30:20.5894181Z                             if(tmp27)
2022-11-23T01:30:20.5894362Z                             {
2022-11-23T01:30:20.5894586Z                                 auto tmp47 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5894799Z                                 tmp46 = tmp47;
2022-11-23T01:30:20.5894982Z                             }
2022-11-23T01:30:20.5895183Z                             auto tmp48 = tmp46 + tmp45;
2022-11-23T01:30:20.5895384Z                             float tmp49 = 0.0;
2022-11-23T01:30:20.5895578Z                             if(tmp31)
2022-11-23T01:30:20.5895753Z                             {
2022-11-23T01:30:20.5895961Z                                 auto tmp50 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:30:20.5896187Z                                 tmp49 = tmp50;
2022-11-23T01:30:20.5896371Z                             }
2022-11-23T01:30:20.5896672Z                             auto tmp51 = tmp49 + tmp48;
2022-11-23T01:30:20.5896885Z                             out_ptr2[i2 + (8*i1) + (16*i0)] = tmp34;
2022-11-23T01:30:20.5897120Z                             out_ptr3[i2 + (8*i1) + (16*i0)] = tmp51;
2022-11-23T01:30:20.5897319Z                         }
2022-11-23T01:30:20.5897475Z                     }
2022-11-23T01:30:20.5897645Z                 }
2022-11-23T01:30:20.5897807Z             }
2022-11-23T01:30:20.5897955Z         }
2022-11-23T01:30:20.5898124Z         #pragma omp for 
2022-11-23T01:30:20.5898314Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:30:20.5898476Z         {
2022-11-23T01:30:20.5898649Z             #pragma GCC ivdep
2022-11-23T01:30:20.5898843Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:30:20.5899008Z             {
2022-11-23T01:30:20.5899183Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5899384Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:30:20.5899552Z                 {
2022-11-23T01:30:20.5899713Z                     {
2022-11-23T01:30:20.5899885Z                         {
2022-11-23T01:30:20.5900089Z                             auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2022-11-23T01:30:20.5900349Z                             auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2022-11-23T01:30:20.5900585Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:30:20.5900825Z                             auto tmp3 = static_cast<long>(((6 + (12*i2)) / 7));
2022-11-23T01:30:20.5901066Z                             auto tmp4 = static_cast<long>(((18 + (12*i2)) / 7));
2022-11-23T01:30:20.5901297Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:30:20.5901513Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:30:20.5901709Z                             float tmp7 = 0.0;
2022-11-23T01:30:20.5901905Z                             if(tmp6)
2022-11-23T01:30:20.5902083Z                             {
2022-11-23T01:30:20.5902303Z                                 auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:30:20.5902532Z                                 tmp7 = tmp8;
2022-11-23T01:30:20.5902780Z                             }
2022-11-23T01:30:20.5902989Z                             auto tmp9 = static_cast<long>(1 + (((6 + (12*i2)) / 7)));
2022-11-23T01:30:20.5903232Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:30:20.5903456Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:30:20.5903665Z                             float tmp12 = 0.0;
2022-11-23T01:30:20.5903849Z                             if(tmp11)
2022-11-23T01:30:20.5904030Z                             {
2022-11-23T01:30:20.5904264Z                                 auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:30:20.5904525Z                                 tmp12 = tmp13;
2022-11-23T01:30:20.5904713Z                             }
2022-11-23T01:30:20.5904914Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:30:20.5905150Z                             auto tmp15 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2022-11-23T01:30:20.5905392Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:30:20.5905614Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:30:20.5905830Z                             float tmp18 = 0.0;
2022-11-23T01:30:20.5906011Z                             if(tmp17)
2022-11-23T01:30:20.5906194Z                             {
2022-11-23T01:30:20.5906426Z                                 auto tmp19 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:30:20.5906650Z                                 tmp18 = tmp19;
2022-11-23T01:30:20.5906837Z                             }
2022-11-23T01:30:20.5907040Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:30:20.5907252Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:30:20.5907465Z                             float tmp22 = 0.0;
2022-11-23T01:30:20.5907658Z                             if(tmp21)
2022-11-23T01:30:20.5907826Z                             {
2022-11-23T01:30:20.5908058Z                                 auto tmp23 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:30:20.5908287Z                                 tmp22 = tmp23;
2022-11-23T01:30:20.5908471Z                             }
2022-11-23T01:30:20.5908657Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:30:20.5908883Z                             out_ptr4[i2 + (7*i1) + (28*i0)] = tmp24;
2022-11-23T01:30:20.5909080Z                         }
2022-11-23T01:30:20.5909236Z                     }
2022-11-23T01:30:20.5909403Z                 }
2022-11-23T01:30:20.5909568Z             }
2022-11-23T01:30:20.5909716Z         }
2022-11-23T01:30:20.5909869Z     }
2022-11-23T01:30:20.5910018Z }
2022-11-23T01:30:20.5910192Z ''')
2022-11-23T01:30:20.5910286Z 
2022-11-23T01:30:20.5910291Z 
2022-11-23T01:30:20.5910383Z async_compile.wait(globals())
2022-11-23T01:30:20.5910576Z del async_compile
2022-11-23T01:30:20.5910685Z 
2022-11-23T01:30:20.5910743Z def call(args):
2022-11-23T01:30:20.5910915Z     arg0_1, = args
2022-11-23T01:30:20.5911090Z     args.clear()
2022-11-23T01:30:20.5911401Z     buf0 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5911776Z     buf1 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5912137Z     buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5912501Z     buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5912849Z     buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5913238Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:30:20.5913554Z     del arg0_1
2022-11-23T01:30:20.5913739Z     return (buf1, buf0, buf2, buf3, buf4, )
2022-11-23T01:30:20.5913957Z 
2022-11-23T01:30:20.5914030Z 
2022-11-23T01:30:20.5914115Z if __name__ == "__main__":
2022-11-23T01:30:20.5914345Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5914618Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5914976Z     arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5915249Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5915765Z [2022-11-23 01:28:26,118] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/my/cmybdlfh2ftpl5rx76zbnzgp5leupoalla6dltfi5u2lpearfiwg.py
2022-11-23T01:30:20.5916347Z [2022-11-23 01:28:26,118] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 409
2022-11-23T01:30:20.5916545Z 
2022-11-23T01:30:20.5916615Z ok (1.921s)
2022-11-23T01:30:20.5917033Z   test_upsample_nearest2d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:26,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5917577Z [2022-11-23 01:28:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5918011Z [2022-11-23 01:28:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5918430Z [2022-11-23 01:28:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5918908Z [2022-11-23 01:28:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5919434Z [2022-11-23 01:28:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5920004Z [2022-11-23 01:28:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5920579Z [2022-11-23 01:28:26,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5921194Z [2022-11-23 01:28:26,128] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f7e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969> 
2022-11-23T01:30:20.5921552Z  2971           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5921775Z                2 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:30:20.5922007Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5922223Z                6 LOAD_CONST               1 (74)
2022-11-23T01:30:20.5922439Z                8 LOAD_CONST               2 (76)
2022-11-23T01:30:20.5922633Z               10 BUILD_LIST               2
2022-11-23T01:30:20.5922841Z               12 CALL_METHOD              2
2022-11-23T01:30:20.5922962Z 
2022-11-23T01:30:20.5923057Z 2972          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5923279Z               16 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:30:20.5923509Z               18 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5923721Z               20 LOAD_CONST               3 (70)
2022-11-23T01:30:20.5923916Z               22 LOAD_CONST               4 (75)
2022-11-23T01:30:20.5924116Z               24 BUILD_LIST               2
2022-11-23T01:30:20.5924322Z               26 CALL_METHOD              2
2022-11-23T01:30:20.5924441Z 
2022-11-23T01:30:20.5924522Z 2973          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5924753Z               30 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:30:20.5924986Z               32 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5925199Z               34 LOAD_CONST               5 (45)
2022-11-23T01:30:20.5925400Z               36 LOAD_CONST               1 (74)
2022-11-23T01:30:20.5925611Z               38 BUILD_LIST               2
2022-11-23T01:30:20.5925858Z               40 CALL_METHOD              2
2022-11-23T01:30:20.5925977Z 
2022-11-23T01:30:20.5926057Z 2974          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5926289Z               44 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:30:20.5926517Z               46 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5926710Z               48 LOAD_CONST               6 (36)
2022-11-23T01:30:20.5926917Z               50 LOAD_CONST               7 (39)
2022-11-23T01:30:20.5927117Z               52 BUILD_LIST               2
2022-11-23T01:30:20.5927321Z               54 CALL_METHOD              2
2022-11-23T01:30:20.5927454Z 
2022-11-23T01:30:20.5927547Z 2975          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5927777Z               58 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:30:20.5928001Z               60 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5928199Z               62 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5928407Z               64 LOAD_CONST               8 (2.0)
2022-11-23T01:30:20.5928614Z               66 LOAD_CONST               8 (2.0)
2022-11-23T01:30:20.5928805Z               68 BUILD_LIST               2
2022-11-23T01:30:20.5929005Z               70 CALL_METHOD              3
2022-11-23T01:30:20.5929122Z 
2022-11-23T01:30:20.5929205Z 2970          72 BUILD_TUPLE              5
2022-11-23T01:30:20.5929383Z               74 RETURN_VALUE
2022-11-23T01:30:20.5929553Z  
2022-11-23T01:30:20.5929644Z 
2022-11-23T01:30:20.5929972Z [2022-11-23 01:28:26,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2971
2022-11-23T01:30:20.5930420Z [2022-11-23 01:28:26,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5930904Z [2022-11-23 01:28:26,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5931412Z [2022-11-23 01:28:26,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:30:20.5931920Z [2022-11-23 01:28:26,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:30:20.5932482Z [2022-11-23 01:28:26,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5933090Z [2022-11-23 01:28:26,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5933689Z [2022-11-23 01:28:26,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5934240Z [2022-11-23 01:28:26,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2972
2022-11-23T01:30:20.5934710Z [2022-11-23 01:28:26,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.5935248Z [2022-11-23 01:28:26,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5935786Z [2022-11-23 01:28:26,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:30:20.5936337Z [2022-11-23 01:28:26,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:30:20.5937068Z [2022-11-23 01:28:26,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5937781Z [2022-11-23 01:28:26,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5938421Z [2022-11-23 01:28:26,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5938989Z [2022-11-23 01:28:26,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2973
2022-11-23T01:30:20.5939482Z [2022-11-23 01:28:26,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5940109Z [2022-11-23 01:28:26,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5940706Z [2022-11-23 01:28:26,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:30:20.5941280Z [2022-11-23 01:28:26,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:30:20.5941924Z [2022-11-23 01:28:26,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5942627Z [2022-11-23 01:28:26,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5943328Z [2022-11-23 01:28:26,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5943907Z [2022-11-23 01:28:26,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2974
2022-11-23T01:30:20.5944414Z [2022-11-23 01:28:26,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5945043Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5945690Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:30:20.5946333Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:30:20.5947014Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.5947768Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.5948493Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.5949097Z [2022-11-23 01:28:26,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2975
2022-11-23T01:30:20.5949689Z [2022-11-23 01:28:26,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5950348Z [2022-11-23 01:28:26,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.5951040Z [2022-11-23 01:28:26,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:30:20.5951756Z [2022-11-23 01:28:26,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:30:20.5952515Z [2022-11-23 01:28:26,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.5953339Z [2022-11-23 01:28:26,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:30:20.5954319Z [2022-11-23 01:28:26,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:30:20.5955180Z [2022-11-23 01:28:26,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:30:20.5955830Z [2022-11-23 01:28:26,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2970
2022-11-23T01:30:20.5956406Z [2022-11-23 01:28:26,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.5956903Z [2022-11-23 01:28:26,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5957473Z [2022-11-23 01:28:26,170] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f7e10, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2969>
2022-11-23T01:30:20.5957964Z [2022-11-23 01:28:26,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.5958386Z [2022-11-23 01:28:26,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.5958817Z [2022-11-23 01:28:26,172] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.5959258Z [2022-11-23 01:28:26,176] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.5959618Z [2022-11-23 01:28:26,176] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.5959905Z  __compiled_fn_418 <eval_with_key>.3322 opcode, name, target, args, kwargs
2022-11-23T01:30:20.5960150Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.5960401Z call_function, upsample_nearest2d, aten.upsample_nearest2d, (ex_0_, [74, 76]), {}
2022-11-23T01:30:20.5960720Z call_function, upsample_nearest2d_1, aten.upsample_nearest2d, (ex_0_, [70, 75]), {}
2022-11-23T01:30:20.5961036Z call_function, upsample_nearest2d_2, aten.upsample_nearest2d, (ex_0_, [45, 74]), {}
2022-11-23T01:30:20.5961342Z call_function, upsample_nearest2d_3, aten.upsample_nearest2d, (ex_0_, [36, 39]), {}
2022-11-23T01:30:20.5961679Z call_function, upsample_nearest2d_4, aten.upsample_nearest2d, (ex_0_, None, [2.0, 2.0]), {}
2022-11-23T01:30:20.5962071Z output, output, output, ((upsample_nearest2d, upsample_nearest2d_1, upsample_nearest2d_2, upsample_nearest2d_3, upsample_nearest2d_4),), {}
2022-11-23T01:30:20.5962304Z 
2022-11-23T01:30:20.5962634Z [2022-11-23 01:28:26,176] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5962956Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.5963155Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5963388Z               4 BUILD_MAP                0
2022-11-23T01:30:20.5963598Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.5963789Z               8 DICT_MERGE               1
2022-11-23T01:30:20.5963989Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.5964178Z              12 RETURN_VALUE
2022-11-23T01:30:20.5964294Z 
2022-11-23T01:30:20.5964342Z  
2022-11-23T01:30:20.5964753Z [2022-11-23 01:28:26,176] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.5965088Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_418)
2022-11-23T01:30:20.5965306Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.5965498Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5965691Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.5965884Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.5966089Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.5966319Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5966528Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.5966707Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.5966913Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5967127Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.5967305Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.5967509Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5967716Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.5967895Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.5968102Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5968314Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.5968503Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.5968696Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.5968908Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.5969098Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.5969276Z              42 BUILD_TUPLE              5
2022-11-23T01:30:20.5969466Z              44 RETURN_VALUE
2022-11-23T01:30:20.5969576Z 
2022-11-23T01:30:20.5969638Z  
2022-11-23T01:30:20.5969897Z [2022-11-23 01:28:26,177] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.5970118Z  - 
2022-11-23T01:30:20.5970323Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.5970488Z             {
2022-11-23T01:30:20.5970722Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.5971033Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.5971282Z                 'obj_weakref': None
2022-11-23T01:30:20.5971622Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.5971851Z             }
2022-11-23T01:30:20.5972010Z             
2022-11-23T01:30:20.5972162Z  - 
2022-11-23T01:30:20.5972372Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.5972549Z             {
2022-11-23T01:30:20.5972773Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.5973002Z                 'code': None,
2022-11-23T01:30:20.5973356Z                 'obj_weakref': <weakref at 0x7ff5a815a430; to 'Tensor' at 0x7ff57ee58b80>
2022-11-23T01:30:20.5973764Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.5974012Z             }
2022-11-23T01:30:20.5974172Z             
2022-11-23T01:30:20.5974323Z  - 
2022-11-23T01:30:20.5974547Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.5974735Z             {
2022-11-23T01:30:20.5974955Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.5975250Z                 'code': ['___check_obj_id(model, 140693069041664)'],
2022-11-23T01:30:20.5975508Z                 'obj_weakref': None
2022-11-23T01:30:20.5975771Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.5975824Z             }
2022-11-23T01:30:20.5975887Z             
2022-11-23T01:30:20.5975958Z  - 
2022-11-23T01:30:20.5976080Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.5976143Z             {
2022-11-23T01:30:20.5976282Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.5976624Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.5976731Z                 'obj_weakref': None
2022-11-23T01:30:20.5976953Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.5977016Z             }
2022-11-23T01:30:20.5977080Z             
2022-11-23T01:30:20.5977148Z  - 
2022-11-23T01:30:20.5977279Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.5977346Z             {
2022-11-23T01:30:20.5977456Z                 'guard_types': None,
2022-11-23T01:30:20.5977562Z                 'code': None,
2022-11-23T01:30:20.5977683Z                 'obj_weakref': None
2022-11-23T01:30:20.5977806Z                 'guarded_class': None
2022-11-23T01:30:20.5977870Z             }
2022-11-23T01:30:20.5977933Z             
2022-11-23T01:30:20.5978200Z [2022-11-23 01:28:26,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 410
2022-11-23T01:30:20.5978559Z [2022-11-23 01:28:27,670] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ta/ctauv7wjkimxbr2eokdhxx37qs6dia6agu45ub3oaxjpnuh77izz.py
2022-11-23T01:30:20.5978823Z [2022-11-23 01:28:27,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 410
2022-11-23T01:30:20.5978830Z 
2022-11-23T01:30:20.5978923Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.5978994Z import torch
2022-11-23T01:30:20.5979065Z import random
2022-11-23T01:30:20.5979181Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.5979303Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.5979309Z 
2022-11-23T01:30:20.5979384Z aten = torch.ops.aten
2022-11-23T01:30:20.5979503Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.5979596Z async_compile = AsyncCompile()
2022-11-23T01:30:20.5979601Z 
2022-11-23T01:30:20.5979608Z 
2022-11-23T01:30:20.5979741Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.5979946Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.5980066Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.5980167Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.5980264Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.5980359Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.5980438Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.5980531Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:20.5980593Z {
2022-11-23T01:30:20.5980691Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.5980751Z     {
2022-11-23T01:30:20.5980828Z         #pragma omp for 
2022-11-23T01:30:20.5980912Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5980962Z         {
2022-11-23T01:30:20.5981091Z             #pragma GCC ivdep
2022-11-23T01:30:20.5981178Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:30:20.5981240Z             {
2022-11-23T01:30:20.5981323Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5981411Z                 for(long i2=0; i2<76; i2+=1)
2022-11-23T01:30:20.5981476Z                 {
2022-11-23T01:30:20.5981530Z                     {
2022-11-23T01:30:20.5981598Z                         {
2022-11-23T01:30:20.5981706Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.5981815Z                             auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:30:20.5981948Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5982054Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5982165Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:30:20.5982246Z                             auto tmp5 = tmp4 * tmp1;
2022-11-23T01:30:20.5982352Z                             auto tmp6 = static_cast<int>(tmp5);
2022-11-23T01:30:20.5982472Z                             auto tmp7 = in_ptr0[tmp6 + (38*tmp3) + (1406*i0)];
2022-11-23T01:30:20.5982578Z                             out_ptr0[i2 + (76*i1) + (5624*i0)] = tmp7;
2022-11-23T01:30:20.5982683Z                             out_ptr1[i2 + (76*i1) + (5624*i0)] = tmp7;
2022-11-23T01:30:20.5982752Z                         }
2022-11-23T01:30:20.5982817Z                     }
2022-11-23T01:30:20.5982869Z                 }
2022-11-23T01:30:20.5982930Z             }
2022-11-23T01:30:20.5982990Z         }
2022-11-23T01:30:20.5983066Z         #pragma omp for 
2022-11-23T01:30:20.5983148Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5983210Z         {
2022-11-23T01:30:20.5983289Z             #pragma GCC ivdep
2022-11-23T01:30:20.5983361Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:30:20.5983422Z             {
2022-11-23T01:30:20.5983504Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5983598Z                 for(long i2=0; i2<75; i2+=1)
2022-11-23T01:30:20.5983660Z                 {
2022-11-23T01:30:20.5983724Z                     {
2022-11-23T01:30:20.5983790Z                         {
2022-11-23T01:30:20.5983885Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.5983999Z                             auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:30:20.5984094Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5984199Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5984303Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:30:20.5984418Z                             auto tmp5 = static_cast<float>(0.5066666666666667);
2022-11-23T01:30:20.5984511Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.5984603Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:30:20.5984719Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:30:20.5984820Z                             out_ptr2[i2 + (75*i1) + (5250*i0)] = tmp8;
2022-11-23T01:30:20.5984887Z                         }
2022-11-23T01:30:20.5984953Z                     }
2022-11-23T01:30:20.5985015Z                 }
2022-11-23T01:30:20.5985080Z             }
2022-11-23T01:30:20.5985130Z         }
2022-11-23T01:30:20.5985204Z         #pragma omp for 
2022-11-23T01:30:20.5985283Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5985344Z         {
2022-11-23T01:30:20.5985423Z             #pragma GCC ivdep
2022-11-23T01:30:20.5985506Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:30:20.5985570Z             {
2022-11-23T01:30:20.5985638Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5985725Z                 for(long i2=0; i2<74; i2+=1)
2022-11-23T01:30:20.5985788Z                 {
2022-11-23T01:30:20.5985855Z                     {
2022-11-23T01:30:20.5985922Z                         {
2022-11-23T01:30:20.5986052Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.5986165Z                             auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:30:20.5986249Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5986352Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5986460Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:30:20.5986575Z                             auto tmp5 = static_cast<float>(0.5135135135135135);
2022-11-23T01:30:20.5986670Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.5986773Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:30:20.5986914Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:30:20.5987018Z                             out_ptr3[i2 + (74*i1) + (3330*i0)] = tmp8;
2022-11-23T01:30:20.5987073Z                         }
2022-11-23T01:30:20.5987138Z                     }
2022-11-23T01:30:20.5987202Z                 }
2022-11-23T01:30:20.5987265Z             }
2022-11-23T01:30:20.5987325Z         }
2022-11-23T01:30:20.5987400Z         #pragma omp for 
2022-11-23T01:30:20.5987469Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.5987530Z         {
2022-11-23T01:30:20.5987607Z             #pragma GCC ivdep
2022-11-23T01:30:20.5987691Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:30:20.5987753Z             {
2022-11-23T01:30:20.5987833Z                 #pragma GCC ivdep
2022-11-23T01:30:20.5987920Z                 for(long i2=0; i2<39; i2+=1)
2022-11-23T01:30:20.5987972Z                 {
2022-11-23T01:30:20.5988037Z                     {
2022-11-23T01:30:20.5988104Z                         {
2022-11-23T01:30:20.5988209Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.5988324Z                             auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:30:20.5988418Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.5988525Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.5988618Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:30:20.5988732Z                             auto tmp5 = static_cast<float>(0.9743589743589743);
2022-11-23T01:30:20.5988830Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.5988933Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:30:20.5989049Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:30:20.5989150Z                             out_ptr4[i2 + (39*i1) + (1404*i0)] = tmp8;
2022-11-23T01:30:20.5989219Z                         }
2022-11-23T01:30:20.5989283Z                     }
2022-11-23T01:30:20.5989334Z                 }
2022-11-23T01:30:20.5989396Z             }
2022-11-23T01:30:20.5989457Z         }
2022-11-23T01:30:20.5989516Z     }
2022-11-23T01:30:20.5989576Z }
2022-11-23T01:30:20.5989656Z ''')
2022-11-23T01:30:20.5989663Z 
2022-11-23T01:30:20.5989668Z 
2022-11-23T01:30:20.5989756Z async_compile.wait(globals())
2022-11-23T01:30:20.5989816Z del async_compile
2022-11-23T01:30:20.5989820Z 
2022-11-23T01:30:20.5989888Z def call(args):
2022-11-23T01:30:20.5989955Z     arg0_1, = args
2022-11-23T01:30:20.5990025Z     args.clear()
2022-11-23T01:30:20.5990248Z     buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5990465Z     buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5990681Z     buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5990885Z     buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5991101Z     buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5991388Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.5991457Z     del arg0_1
2022-11-23T01:30:20.5991557Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:20.5991562Z 
2022-11-23T01:30:20.5991566Z 
2022-11-23T01:30:20.5991642Z if __name__ == "__main__":
2022-11-23T01:30:20.5991755Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.5991877Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.5992095Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.5992219Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.5992224Z 
2022-11-23T01:30:20.5992290Z ok (1.555s)
2022-11-23T01:30:20.5992617Z   test_upsample_nearest3d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:27,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.5992935Z [2022-11-23 01:28:27,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.5993152Z [2022-11-23 01:28:27,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.5993408Z [2022-11-23 01:28:27,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.5993685Z [2022-11-23 01:28:27,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.5994081Z [2022-11-23 01:28:27,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5994433Z [2022-11-23 01:28:27,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5994757Z [2022-11-23 01:28:27,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.5995120Z [2022-11-23 01:28:27,695] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0e0030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981> 
2022-11-23T01:30:20.5995217Z  2983           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5995330Z                2 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:30:20.5995421Z                4 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5995509Z                6 BUILD_LIST               0
2022-11-23T01:30:20.5995609Z                8 LOAD_CONST               1 ((74, 76, 78))
2022-11-23T01:30:20.5995696Z               10 LIST_EXTEND              1
2022-11-23T01:30:20.5995787Z               12 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5995862Z               14 CALL_METHOD              3
2022-11-23T01:30:20.5995866Z 
2022-11-23T01:30:20.5995960Z 2984          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5996070Z               18 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:30:20.5996158Z               20 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5996243Z               22 BUILD_LIST               0
2022-11-23T01:30:20.5996340Z               24 LOAD_CONST               2 ((70, 75, 80))
2022-11-23T01:30:20.5996427Z               26 LIST_EXTEND              1
2022-11-23T01:30:20.5996505Z               28 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5996589Z               30 CALL_METHOD              3
2022-11-23T01:30:20.5996596Z 
2022-11-23T01:30:20.5996687Z 2985          32 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5996796Z               34 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:30:20.5996883Z               36 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5996967Z               38 BUILD_LIST               0
2022-11-23T01:30:20.5997094Z               40 LOAD_CONST               3 ((45, 74, 103))
2022-11-23T01:30:20.5997178Z               42 LIST_EXTEND              1
2022-11-23T01:30:20.5997256Z               44 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5997340Z               46 CALL_METHOD              3
2022-11-23T01:30:20.5997344Z 
2022-11-23T01:30:20.5997432Z 2986          48 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5997539Z               50 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:30:20.5997626Z               52 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5997711Z               54 BUILD_LIST               0
2022-11-23T01:30:20.5997832Z               56 LOAD_CONST               4 ((36, 39, 40))
2022-11-23T01:30:20.5997904Z               58 LIST_EXTEND              1
2022-11-23T01:30:20.5997995Z               60 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5998077Z               62 CALL_METHOD              3
2022-11-23T01:30:20.5998081Z 
2022-11-23T01:30:20.5998171Z 2987          64 LOAD_GLOBAL              0 (aten)
2022-11-23T01:30:20.5998278Z               66 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:30:20.5998365Z               68 LOAD_FAST                0 (a)
2022-11-23T01:30:20.5998452Z               70 LOAD_CONST               0 (None)
2022-11-23T01:30:20.5998534Z               72 BUILD_LIST               0
2022-11-23T01:30:20.5998621Z               74 LOAD_CONST               5 ((2.0, 2.0, 2.0))
2022-11-23T01:30:20.5998704Z               76 LIST_EXTEND              1
2022-11-23T01:30:20.5998786Z               78 CALL_METHOD              3
2022-11-23T01:30:20.5998791Z 
2022-11-23T01:30:20.5998874Z 2982          80 BUILD_TUPLE              5
2022-11-23T01:30:20.5998952Z               82 RETURN_VALUE
2022-11-23T01:30:20.5999012Z  
2022-11-23T01:30:20.5999017Z 
2022-11-23T01:30:20.5999334Z [2022-11-23 01:28:27,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2983
2022-11-23T01:30:20.5999553Z [2022-11-23 01:28:27,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:30:20.5999870Z [2022-11-23 01:28:27,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.6000143Z [2022-11-23 01:28:27,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:30:20.6000445Z [2022-11-23 01:28:27,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:30:20.6000778Z [2022-11-23 01:28:27,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (74, 76, 78) [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6001152Z [2022-11-23 01:28:27,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.6001480Z [2022-11-23 01:28:27,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6001852Z [2022-11-23 01:28:27,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.6002163Z [2022-11-23 01:28:27,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2984
2022-11-23T01:30:20.6002402Z [2022-11-23 01:28:27,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:30:20.6002758Z [2022-11-23 01:28:27,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.6003097Z [2022-11-23 01:28:27,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:30:20.6003428Z [2022-11-23 01:28:27,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:30:20.6003777Z [2022-11-23 01:28:27,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (70, 75, 80) [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6004173Z [2022-11-23 01:28:27,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.6004554Z [2022-11-23 01:28:27,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6004960Z [2022-11-23 01:28:27,710] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.6005271Z [2022-11-23 01:28:27,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2985
2022-11-23T01:30:20.6005540Z [2022-11-23 01:28:27,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6005921Z [2022-11-23 01:28:27,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.6006248Z [2022-11-23 01:28:27,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:30:20.6006609Z [2022-11-23 01:28:27,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:30:20.6007006Z [2022-11-23 01:28:27,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (45, 74, 103) [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6007432Z [2022-11-23 01:28:27,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.6007816Z [2022-11-23 01:28:27,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6008255Z [2022-11-23 01:28:27,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.6008566Z [2022-11-23 01:28:27,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2986
2022-11-23T01:30:20.6008853Z [2022-11-23 01:28:27,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6009264Z [2022-11-23 01:28:27,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.6009618Z [2022-11-23 01:28:27,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:30:20.6010022Z [2022-11-23 01:28:27,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:30:20.6010442Z [2022-11-23 01:28:27,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (36, 39, 40) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6010898Z [2022-11-23 01:28:27,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.6011316Z [2022-11-23 01:28:27,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6011807Z [2022-11-23 01:28:27,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.6012115Z [2022-11-23 01:28:27,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2987
2022-11-23T01:30:20.6012436Z [2022-11-23 01:28:27,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6012874Z [2022-11-23 01:28:27,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.6013258Z [2022-11-23 01:28:27,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:30:20.6013675Z [2022-11-23 01:28:27,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:30:20.6014133Z [2022-11-23 01:28:27,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:30:20.6014633Z [2022-11-23 01:28:27,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2.0, 2.0, 2.0) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:30:20.6015164Z [2022-11-23 01:28:27,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.6015657Z [2022-11-23 01:28:27,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:30:20.6015955Z [2022-11-23 01:28:27,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2982
2022-11-23T01:30:20.6016303Z [2022-11-23 01:28:27,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6016667Z [2022-11-23 01:28:27,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6017096Z [2022-11-23 01:28:27,733] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0e0030, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2981>
2022-11-23T01:30:20.6017342Z [2022-11-23 01:28:27,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6017574Z [2022-11-23 01:28:27,733] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6017827Z [2022-11-23 01:28:27,735] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6018075Z [2022-11-23 01:28:27,739] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6018264Z [2022-11-23 01:28:27,739] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6018433Z  __compiled_fn_419 <eval_with_key>.3328 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6018510Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6018664Z call_function, upsample_nearest3d, aten.upsample_nearest3d, (ex_0_, [74, 76, 78], None), {}
2022-11-23T01:30:20.6018821Z call_function, upsample_nearest3d_1, aten.upsample_nearest3d, (ex_0_, [70, 75, 80], None), {}
2022-11-23T01:30:20.6018975Z call_function, upsample_nearest3d_2, aten.upsample_nearest3d, (ex_0_, [45, 74, 103], None), {}
2022-11-23T01:30:20.6019126Z call_function, upsample_nearest3d_3, aten.upsample_nearest3d, (ex_0_, [36, 39, 40], None), {}
2022-11-23T01:30:20.6019283Z call_function, upsample_nearest3d_4, aten.upsample_nearest3d, (ex_0_, None, [2.0, 2.0, 2.0]), {}
2022-11-23T01:30:20.6019497Z output, output, output, ((upsample_nearest3d, upsample_nearest3d_1, upsample_nearest3d_2, upsample_nearest3d_3, upsample_nearest3d_4),), {}
2022-11-23T01:30:20.6019504Z 
2022-11-23T01:30:20.6019834Z [2022-11-23 01:28:27,739] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6019929Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6020009Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6020099Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6020192Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6020279Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6020367Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6020445Z              12 RETURN_VALUE
2022-11-23T01:30:20.6020450Z 
2022-11-23T01:30:20.6020512Z  
2022-11-23T01:30:20.6020820Z [2022-11-23 01:28:27,739] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6020931Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_419)
2022-11-23T01:30:20.6021025Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6021115Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6021192Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6021282Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.6021388Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6021491Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6021568Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6021646Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.6021747Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6021836Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6021913Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.6022014Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6022102Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.6022164Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.6022266Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6022355Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.6022432Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.6022532Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6022647Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.6022724Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6022799Z              42 BUILD_TUPLE              5
2022-11-23T01:30:20.6022874Z              44 RETURN_VALUE
2022-11-23T01:30:20.6022879Z 
2022-11-23T01:30:20.6022940Z  
2022-11-23T01:30:20.6023127Z [2022-11-23 01:28:27,740] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6023199Z  - 
2022-11-23T01:30:20.6023320Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6023386Z             {
2022-11-23T01:30:20.6023515Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6023703Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.6023850Z                 'obj_weakref': None
2022-11-23T01:30:20.6024077Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6024143Z             }
2022-11-23T01:30:20.6024205Z             
2022-11-23T01:30:20.6024272Z  - 
2022-11-23T01:30:20.6024387Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6024452Z             {
2022-11-23T01:30:20.6024595Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6024704Z                 'code': None,
2022-11-23T01:30:20.6024912Z                 'obj_weakref': <weakref at 0x7ff57ef2a1b0; to 'Tensor' at 0x7ff58fe3dbc0>
2022-11-23T01:30:20.6025167Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6025232Z             }
2022-11-23T01:30:20.6025281Z             
2022-11-23T01:30:20.6025353Z  - 
2022-11-23T01:30:20.6025483Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6025545Z             {
2022-11-23T01:30:20.6025679Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6025849Z                 'code': ['___check_obj_id(model, 140693063596448)'],
2022-11-23T01:30:20.6025964Z                 'obj_weakref': None
2022-11-23T01:30:20.6026180Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6026244Z             }
2022-11-23T01:30:20.6026307Z             
2022-11-23T01:30:20.6026373Z  - 
2022-11-23T01:30:20.6026491Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6026552Z             {
2022-11-23T01:30:20.6026684Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6026884Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6027002Z                 'obj_weakref': None
2022-11-23T01:30:20.6027217Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6027281Z             }
2022-11-23T01:30:20.6027343Z             
2022-11-23T01:30:20.6027412Z  - 
2022-11-23T01:30:20.6027542Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:30:20.6027591Z             {
2022-11-23T01:30:20.6027708Z                 'guard_types': None,
2022-11-23T01:30:20.6027815Z                 'code': None,
2022-11-23T01:30:20.6027932Z                 'obj_weakref': None
2022-11-23T01:30:20.6028050Z                 'guarded_class': None
2022-11-23T01:30:20.6028110Z             }
2022-11-23T01:30:20.6028171Z             
2022-11-23T01:30:20.6028415Z [2022-11-23 01:28:27,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 411
2022-11-23T01:30:20.6028784Z [2022-11-23 01:28:29,291] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7omntfyenq4pcb7ivpiq4zf5oxgunmxfddd7yprkeqr6osc5kmd.py
2022-11-23T01:30:20.6029047Z [2022-11-23 01:28:29,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 411
2022-11-23T01:30:20.6029055Z 
2022-11-23T01:30:20.6029147Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6029215Z import torch
2022-11-23T01:30:20.6029282Z import random
2022-11-23T01:30:20.6029395Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6029540Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6029546Z 
2022-11-23T01:30:20.6029611Z aten = torch.ops.aten
2022-11-23T01:30:20.6029742Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6029833Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6029838Z 
2022-11-23T01:30:20.6029842Z 
2022-11-23T01:30:20.6029973Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6030178Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6030295Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6030393Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.6030536Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.6030618Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.6030709Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.6030800Z                        float* __restrict__ out_ptr4)
2022-11-23T01:30:20.6030861Z {
2022-11-23T01:30:20.6030957Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6031017Z     {
2022-11-23T01:30:20.6031093Z         #pragma omp for 
2022-11-23T01:30:20.6031162Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.6031223Z         {
2022-11-23T01:30:20.6031302Z             #pragma GCC ivdep
2022-11-23T01:30:20.6031386Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:30:20.6031448Z             {
2022-11-23T01:30:20.6031527Z                 #pragma GCC ivdep
2022-11-23T01:30:20.6031614Z                 for(long i2=0; i2<76; i2+=1)
2022-11-23T01:30:20.6031666Z                 {
2022-11-23T01:30:20.6031751Z                     #pragma GCC ivdep
2022-11-23T01:30:20.6031840Z                     for(long i3=0; i3<78; i3+=1)
2022-11-23T01:30:20.6031905Z                     {
2022-11-23T01:30:20.6031972Z                         {
2022-11-23T01:30:20.6032041Z                             {
2022-11-23T01:30:20.6032153Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.6032254Z                                 auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:30:20.6032351Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.6032459Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.6032565Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:30:20.6032660Z                                 auto tmp5 = tmp4 * tmp1;
2022-11-23T01:30:20.6032765Z                                 auto tmp6 = static_cast<int>(tmp5);
2022-11-23T01:30:20.6032871Z                                 auto tmp7 = static_cast<float>(i3);
2022-11-23T01:30:20.6032956Z                                 auto tmp8 = tmp7 * tmp1;
2022-11-23T01:30:20.6033064Z                                 auto tmp9 = static_cast<int>(tmp8);
2022-11-23T01:30:20.6033191Z                                 auto tmp10 = in_ptr0[tmp9 + (39*tmp6) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:30:20.6033305Z                                 out_ptr0[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2022-11-23T01:30:20.6033415Z                                 out_ptr1[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2022-11-23T01:30:20.6033482Z                             }
2022-11-23T01:30:20.6033548Z                         }
2022-11-23T01:30:20.6033612Z                     }
2022-11-23T01:30:20.6033667Z                 }
2022-11-23T01:30:20.6033729Z             }
2022-11-23T01:30:20.6033790Z         }
2022-11-23T01:30:20.6033949Z         #pragma omp for 
2022-11-23T01:30:20.6034033Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.6034102Z         {
2022-11-23T01:30:20.6034167Z             #pragma GCC ivdep
2022-11-23T01:30:20.6034252Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:30:20.6034315Z             {
2022-11-23T01:30:20.6034394Z                 #pragma GCC ivdep
2022-11-23T01:30:20.6034482Z                 for(long i2=0; i2<75; i2+=1)
2022-11-23T01:30:20.6034548Z                 {
2022-11-23T01:30:20.6034673Z                     #pragma GCC ivdep
2022-11-23T01:30:20.6034753Z                     for(long i3=0; i3<80; i3+=1)
2022-11-23T01:30:20.6034819Z                     {
2022-11-23T01:30:20.6034887Z                         {
2022-11-23T01:30:20.6034955Z                             {
2022-11-23T01:30:20.6035064Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.6035181Z                                 auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:30:20.6035281Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.6035378Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.6035509Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:30:20.6035624Z                                 auto tmp5 = static_cast<float>(0.5066666666666667);
2022-11-23T01:30:20.6035720Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.6035829Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:30:20.6035934Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:30:20.6036045Z                                 auto tmp9 = static_cast<float>(0.4875);
2022-11-23T01:30:20.6036142Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:30:20.6036242Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:30:20.6036372Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:30:20.6036481Z                                 out_ptr2[i3 + (80*i2) + (6000*i1) + (420000*i0)] = tmp12;
2022-11-23T01:30:20.6036551Z                             }
2022-11-23T01:30:20.6036617Z                         }
2022-11-23T01:30:20.6036683Z                     }
2022-11-23T01:30:20.6036744Z                 }
2022-11-23T01:30:20.6036795Z             }
2022-11-23T01:30:20.6036856Z         }
2022-11-23T01:30:20.6036933Z         #pragma omp for 
2022-11-23T01:30:20.6037015Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.6037077Z         {
2022-11-23T01:30:20.6037153Z             #pragma GCC ivdep
2022-11-23T01:30:20.6037235Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:30:20.6037285Z             {
2022-11-23T01:30:20.6037366Z                 #pragma GCC ivdep
2022-11-23T01:30:20.6037455Z                 for(long i2=0; i2<74; i2+=1)
2022-11-23T01:30:20.6037519Z                 {
2022-11-23T01:30:20.6037599Z                     #pragma GCC ivdep
2022-11-23T01:30:20.6037688Z                     for(long i3=0; i3<103; i3+=1)
2022-11-23T01:30:20.6037754Z                     {
2022-11-23T01:30:20.6037809Z                         {
2022-11-23T01:30:20.6037877Z                             {
2022-11-23T01:30:20.6037984Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.6038098Z                                 auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:30:20.6038195Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.6038304Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.6038407Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:30:20.6038511Z                                 auto tmp5 = static_cast<float>(0.5135135135135135);
2022-11-23T01:30:20.6038607Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.6038712Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:30:20.6038816Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:30:20.6038931Z                                 auto tmp9 = static_cast<float>(0.3786407766990291);
2022-11-23T01:30:20.6039029Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:30:20.6039138Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:30:20.6039300Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:30:20.6039402Z                                 out_ptr3[i3 + (103*i2) + (7622*i1) + (342990*i0)] = tmp12;
2022-11-23T01:30:20.6039470Z                             }
2022-11-23T01:30:20.6039537Z                         }
2022-11-23T01:30:20.6039602Z                     }
2022-11-23T01:30:20.6039665Z                 }
2022-11-23T01:30:20.6039727Z             }
2022-11-23T01:30:20.6039787Z         }
2022-11-23T01:30:20.6039850Z         #pragma omp for 
2022-11-23T01:30:20.6039930Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.6039991Z         {
2022-11-23T01:30:20.6040096Z             #pragma GCC ivdep
2022-11-23T01:30:20.6040181Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:30:20.6040242Z             {
2022-11-23T01:30:20.6040322Z                 #pragma GCC ivdep
2022-11-23T01:30:20.6040398Z                 for(long i2=0; i2<39; i2+=1)
2022-11-23T01:30:20.6040462Z                 {
2022-11-23T01:30:20.6040547Z                     #pragma GCC ivdep
2022-11-23T01:30:20.6040639Z                     for(long i3=0; i3<40; i3+=1)
2022-11-23T01:30:20.6040705Z                     {
2022-11-23T01:30:20.6040771Z                         {
2022-11-23T01:30:20.6040838Z                             {
2022-11-23T01:30:20.6040933Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:30:20.6041048Z                                 auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:30:20.6041143Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.6041250Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:30:20.6041358Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:30:20.6041472Z                                 auto tmp5 = static_cast<float>(0.9743589743589743);
2022-11-23T01:30:20.6041566Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:30:20.6041664Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:30:20.6041768Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:30:20.6041880Z                                 auto tmp9 = static_cast<float>(0.975);
2022-11-23T01:30:20.6041977Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:30:20.6042088Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:30:20.6042213Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:30:20.6042324Z                                 out_ptr4[i3 + (40*i2) + (1560*i1) + (56160*i0)] = tmp12;
2022-11-23T01:30:20.6042395Z                             }
2022-11-23T01:30:20.6042449Z                         }
2022-11-23T01:30:20.6042512Z                     }
2022-11-23T01:30:20.6042574Z                 }
2022-11-23T01:30:20.6042639Z             }
2022-11-23T01:30:20.6042700Z         }
2022-11-23T01:30:20.6042761Z     }
2022-11-23T01:30:20.6042820Z }
2022-11-23T01:30:20.6042896Z ''')
2022-11-23T01:30:20.6042903Z 
2022-11-23T01:30:20.6042907Z 
2022-11-23T01:30:20.6042996Z async_compile.wait(globals())
2022-11-23T01:30:20.6043069Z del async_compile
2022-11-23T01:30:20.6043074Z 
2022-11-23T01:30:20.6043143Z def call(args):
2022-11-23T01:30:20.6043211Z     arg0_1, = args
2022-11-23T01:30:20.6043280Z     args.clear()
2022-11-23T01:30:20.6043520Z     buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6043741Z     buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6043977Z     buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6044208Z     buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6044487Z     buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6044725Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.6044792Z     del arg0_1
2022-11-23T01:30:20.6044889Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:30:20.6044894Z 
2022-11-23T01:30:20.6044899Z 
2022-11-23T01:30:20.6044976Z if __name__ == "__main__":
2022-11-23T01:30:20.6045089Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6045198Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6045456Z     arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6045561Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.6045566Z 
2022-11-23T01:30:20.6045633Z ok (1.797s)
2022-11-23T01:30:20.6045943Z   test_var_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6046259Z [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6046477Z [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6046726Z [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6047003Z [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6047311Z [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6047661Z [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6047987Z [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6048356Z [2022-11-23 01:28:29,476] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d113050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191> 
2022-11-23T01:30:20.6048446Z  2192           0 BUILD_LIST               0
2022-11-23T01:30:20.6048451Z 
2022-11-23T01:30:20.6048546Z 2193           2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.6048646Z                4 LOAD_METHOD              1 (var_mean)
2022-11-23T01:30:20.6048735Z                6 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6048871Z                8 LOAD_CONST               1 (-1)
2022-11-23T01:30:20.6048947Z               10 CALL_METHOD              2
2022-11-23T01:30:20.6048964Z 
2022-11-23T01:30:20.6049040Z 2192          12 LIST_EXTEND              1
2022-11-23T01:30:20.6049044Z 
2022-11-23T01:30:20.6049136Z 2194          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.6049230Z               16 LOAD_METHOD              1 (var_mean)
2022-11-23T01:30:20.6049319Z               18 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6049406Z               20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6049492Z               22 LOAD_CONST               3 (3)
2022-11-23T01:30:20.6049576Z               24 BUILD_LIST               2
2022-11-23T01:30:20.6049649Z               26 CALL_METHOD              2
2022-11-23T01:30:20.6049665Z 
2022-11-23T01:30:20.6049738Z 2192          28 LIST_EXTEND              1
2022-11-23T01:30:20.6049813Z               30 LIST_TO_TUPLE
2022-11-23T01:30:20.6049888Z               32 RETURN_VALUE
2022-11-23T01:30:20.6049948Z  
2022-11-23T01:30:20.6049952Z 
2022-11-23T01:30:20.6050293Z [2022-11-23 01:28:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:30:20.6050504Z [2022-11-23 01:28:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:30:20.6050819Z [2022-11-23 01:28:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2193
2022-11-23T01:30:20.6051062Z [2022-11-23 01:28:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T01:30:20.6051444Z [2022-11-23 01:28:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.6051822Z [2022-11-23 01:28:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.6052208Z [2022-11-23 01:28:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.6052628Z [2022-11-23 01:28:29,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6052938Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:30:20.6053200Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T01:30:20.6053513Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2194
2022-11-23T01:30:20.6053758Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListVariable()]
2022-11-23T01:30:20.6054155Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [ListVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.6054504Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.6054883Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.6055299Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6055754Z [2022-11-23 01:28:29,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.6056152Z [2022-11-23 01:28:29,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), TorchVariable(<built-in method var_mean of type object at 0x7ff5d7c59c60>), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.6056592Z [2022-11-23 01:28:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2192
2022-11-23T01:30:20.6056853Z [2022-11-23 01:28:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [ListVariable(), TupleVariable()]
2022-11-23T01:30:20.6057100Z [2022-11-23 01:28:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_TO_TUPLE None [ListVariable()]
2022-11-23T01:30:20.6057344Z [2022-11-23 01:28:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6057764Z [2022-11-23 01:28:29,481] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d113050, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2191>
2022-11-23T01:30:20.6058004Z [2022-11-23 01:28:29,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6058242Z [2022-11-23 01:28:29,481] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6058496Z [2022-11-23 01:28:29,483] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6058748Z [2022-11-23 01:28:29,487] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6058956Z [2022-11-23 01:28:29,487] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6059093Z  __compiled_fn_420 <eval_with_key>.3334 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6059185Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6059429Z call_function, var_mean, <built-in method var_mean of type object at 0x7ff5d7c59c60>, (ex_0_, -1), {}
2022-11-23T01:30:20.6059623Z call_function, getitem, <built-in function getitem>, (var_mean, 0), {}
2022-11-23T01:30:20.6059821Z call_function, getitem_1, <built-in function getitem>, (var_mean, 1), {}
2022-11-23T01:30:20.6060067Z call_function, var_mean_1, <built-in method var_mean of type object at 0x7ff5d7c59c60>, (ex_0_, [1, 3]), {}
2022-11-23T01:30:20.6060262Z call_function, getitem_2, <built-in function getitem>, (var_mean_1, 0), {}
2022-11-23T01:30:20.6060441Z call_function, getitem_3, <built-in function getitem>, (var_mean_1, 1), {}
2022-11-23T01:30:20.6060579Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:30:20.6060584Z 
2022-11-23T01:30:20.6060912Z [2022-11-23 01:28:29,487] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6061010Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6061102Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6061189Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6061282Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6061369Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6061446Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6061523Z              12 RETURN_VALUE
2022-11-23T01:30:20.6061529Z 
2022-11-23T01:30:20.6061591Z  
2022-11-23T01:30:20.6061920Z [2022-11-23 01:28:29,487] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6062030Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_420)
2022-11-23T01:30:20.6062120Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6062210Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6062290Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6062365Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.6062468Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6062570Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6062659Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6062740Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.6062841Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6062926Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6062989Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.6063091Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6063176Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.6063250Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.6063351Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6063436Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.6063543Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.6063617Z              36 BUILD_TUPLE              4
2022-11-23T01:30:20.6063691Z              38 RETURN_VALUE
2022-11-23T01:30:20.6063697Z 
2022-11-23T01:30:20.6063755Z  
2022-11-23T01:30:20.6063935Z [2022-11-23 01:28:29,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6064010Z  - 
2022-11-23T01:30:20.6064128Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6064190Z             {
2022-11-23T01:30:20.6064319Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6064506Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.6064652Z                 'obj_weakref': None
2022-11-23T01:30:20.6064878Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6064942Z             }
2022-11-23T01:30:20.6065005Z             
2022-11-23T01:30:20.6065072Z  - 
2022-11-23T01:30:20.6065196Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6065246Z             {
2022-11-23T01:30:20.6065388Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6065495Z                 'code': None,
2022-11-23T01:30:20.6065704Z                 'obj_weakref': <weakref at 0x7ff59c0c4040; to 'Tensor' at 0x7ff59c13b060>
2022-11-23T01:30:20.6065961Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6066025Z             }
2022-11-23T01:30:20.6066086Z             
2022-11-23T01:30:20.6066142Z  - 
2022-11-23T01:30:20.6066272Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6066337Z             {
2022-11-23T01:30:20.6066469Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6066637Z                 'code': ['___check_obj_id(model, 140692657056512)'],
2022-11-23T01:30:20.6066751Z                 'obj_weakref': None
2022-11-23T01:30:20.6066983Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6067033Z             }
2022-11-23T01:30:20.6067095Z             
2022-11-23T01:30:20.6067162Z  - 
2022-11-23T01:30:20.6067281Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6067344Z             {
2022-11-23T01:30:20.6067477Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6067680Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6067795Z                 'obj_weakref': None
2022-11-23T01:30:20.6068012Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6068076Z             }
2022-11-23T01:30:20.6068137Z             
2022-11-23T01:30:20.6068204Z  - 
2022-11-23T01:30:20.6068334Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.6068384Z             {
2022-11-23T01:30:20.6068501Z                 'guard_types': None,
2022-11-23T01:30:20.6068605Z                 'code': None,
2022-11-23T01:30:20.6068722Z                 'obj_weakref': None
2022-11-23T01:30:20.6068840Z                 'guarded_class': None
2022-11-23T01:30:20.6068900Z             }
2022-11-23T01:30:20.6068961Z             
2022-11-23T01:30:20.6069209Z [2022-11-23 01:28:29,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 412
2022-11-23T01:30:20.6069226Z 
2022-11-23T01:30:20.6069306Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6069372Z import torch
2022-11-23T01:30:20.6069439Z import random
2022-11-23T01:30:20.6069551Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6069669Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6069676Z 
2022-11-23T01:30:20.6069752Z aten = torch.ops.aten
2022-11-23T01:30:20.6069884Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6069962Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6069967Z 
2022-11-23T01:30:20.6069983Z 
2022-11-23T01:30:20.6070132Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6070339Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6070455Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:30:20.6070555Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:30:20.6070653Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:30:20.6070751Z                        float* __restrict__ in_out_ptr3,
2022-11-23T01:30:20.6070853Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6070940Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.6071061Z                        float* __restrict__ out_ptr3)
2022-11-23T01:30:20.6071119Z {
2022-11-23T01:30:20.6071205Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:30:20.6071286Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T01:30:20.6071366Z     auto out_ptr4 = in_out_ptr2;
2022-11-23T01:30:20.6071445Z     auto out_ptr5 = in_out_ptr3;
2022-11-23T01:30:20.6071534Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6071597Z     {
2022-11-23T01:30:20.6071673Z         #pragma omp for 
2022-11-23T01:30:20.6071753Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.6071815Z         {
2022-11-23T01:30:20.6071879Z             {
2022-11-23T01:30:20.6072081Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.6072146Z                 float tmp1 = 0;
2022-11-23T01:30:20.6072267Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.6072353Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.6072420Z                 {
2022-11-23T01:30:20.6072560Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.6072640Z                     tmp1_vec += tmp0;
2022-11-23T01:30:20.6072703Z                 }
2022-11-23T01:30:20.6072898Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.6073006Z                 #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:20.6073092Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.6073155Z                 {
2022-11-23T01:30:20.6073251Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.6073326Z                     tmp1 += tmp0;
2022-11-23T01:30:20.6073388Z                 }
2022-11-23T01:30:20.6073467Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.6073518Z             }
2022-11-23T01:30:20.6073582Z         }
2022-11-23T01:30:20.6073658Z         #pragma omp for 
2022-11-23T01:30:20.6073738Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:30:20.6073884Z         {
2022-11-23T01:30:20.6073950Z             {
2022-11-23T01:30:20.6074141Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.6074208Z                 float tmp6 = 0;
2022-11-23T01:30:20.6074327Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.6074404Z                 float tmp7 = 0;
2022-11-23T01:30:20.6074521Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:20.6074609Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.6074673Z                 {
2022-11-23T01:30:20.6074811Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i1));
2022-11-23T01:30:20.6074937Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:30:20.6075064Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:30:20.6075153Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.6075294Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.6075383Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.6075498Z                     tmp6_vec += tmp5;
2022-11-23T01:30:20.6075576Z                     tmp7_vec += tmp0;
2022-11-23T01:30:20.6075639Z                 }
2022-11-23T01:30:20.6075824Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.6076016Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:30:20.6076153Z                 #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:30:20.6076241Z                 for(long i1=8; i1<8; i1+=1)
2022-11-23T01:30:20.6076331Z                 {
2022-11-23T01:30:20.6076430Z                     auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:30:20.6076519Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:30:20.6076621Z                     auto tmp2 = static_cast<float>(8);
2022-11-23T01:30:20.6076699Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.6076833Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.6076920Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.6076996Z                     tmp6 += tmp5;
2022-11-23T01:30:20.6077072Z                     tmp7 += tmp0;
2022-11-23T01:30:20.6077138Z                 }
2022-11-23T01:30:20.6077218Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:30:20.6077284Z                 out_ptr2[i0] = tmp7;
2022-11-23T01:30:20.6077346Z             }
2022-11-23T01:30:20.6077406Z         }
2022-11-23T01:30:20.6077483Z         #pragma omp for 
2022-11-23T01:30:20.6077561Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.6077623Z         {
2022-11-23T01:30:20.6077684Z             {
2022-11-23T01:30:20.6077858Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.6077935Z                 float tmp1 = 0;
2022-11-23T01:30:20.6078055Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:30:20.6078145Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:20.6078208Z                 {
2022-11-23T01:30:20.6078296Z                     for(long i2=0; i2<1; i2+=1)
2022-11-23T01:30:20.6078360Z                     {
2022-11-23T01:30:20.6078506Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1));
2022-11-23T01:30:20.6078577Z                         tmp1_vec += tmp0;
2022-11-23T01:30:20.6078640Z                     }
2022-11-23T01:30:20.6078832Z                     tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:30:20.6078953Z                     #pragma omp simd simdlen(4)  reduction(+:tmp1)
2022-11-23T01:30:20.6079042Z                     for(long i2=8; i2<8; i2+=1)
2022-11-23T01:30:20.6079107Z                     {
2022-11-23T01:30:20.6079214Z                         auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2022-11-23T01:30:20.6079291Z                         tmp1 += tmp0;
2022-11-23T01:30:20.6079345Z                     }
2022-11-23T01:30:20.6079407Z                 }
2022-11-23T01:30:20.6079486Z                 out_ptr3[i0] = tmp1;
2022-11-23T01:30:20.6079548Z             }
2022-11-23T01:30:20.6079609Z         }
2022-11-23T01:30:20.6079683Z         #pragma omp for 
2022-11-23T01:30:20.6079752Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.6079812Z         {
2022-11-23T01:30:20.6079872Z             {
2022-11-23T01:30:20.6080055Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:30:20.6080133Z                 float tmp6 = 0;
2022-11-23T01:30:20.6080249Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:30:20.6080325Z                 float tmp7 = 0;
2022-11-23T01:30:20.6080440Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:30:20.6080545Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:30:20.6080609Z                 {
2022-11-23T01:30:20.6080696Z                     for(long i2=0; i2<1; i2+=1)
2022-11-23T01:30:20.6080760Z                     {
2022-11-23T01:30:20.6080908Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1));
2022-11-23T01:30:20.6081034Z                         auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2022-11-23T01:30:20.6081171Z                         auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(16));
2022-11-23T01:30:20.6081265Z                         auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.6081447Z                         auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.6081539Z                         auto tmp5 = tmp4.pow(2);
2022-11-23T01:30:20.6081621Z                         tmp6_vec += tmp5;
2022-11-23T01:30:20.6081703Z                         tmp7_vec += tmp0;
2022-11-23T01:30:20.6081766Z                     }
2022-11-23T01:30:20.6081964Z                     tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:30:20.6082148Z                     tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:30:20.6082288Z                     #pragma omp simd simdlen(4)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:30:20.6082366Z                     for(long i2=8; i2<8; i2+=1)
2022-11-23T01:30:20.6082431Z                     {
2022-11-23T01:30:20.6082536Z                         auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2022-11-23T01:30:20.6082633Z                         auto tmp1 = out_ptr3[i0];
2022-11-23T01:30:20.6082741Z                         auto tmp2 = static_cast<float>(16);
2022-11-23T01:30:20.6082833Z                         auto tmp3 = tmp1 / tmp2;
2022-11-23T01:30:20.6082972Z                         auto tmp4 = tmp0 - tmp3;
2022-11-23T01:30:20.6083053Z                         auto tmp5 = tmp4 * tmp4;
2022-11-23T01:30:20.6083132Z                         tmp6 += tmp5;
2022-11-23T01:30:20.6083209Z                         tmp7 += tmp0;
2022-11-23T01:30:20.6083275Z                     }
2022-11-23T01:30:20.6083337Z                 }
2022-11-23T01:30:20.6083417Z                 out_ptr4[i0] = tmp6;
2022-11-23T01:30:20.6083495Z                 out_ptr5[i0] = tmp7;
2022-11-23T01:30:20.6083545Z             }
2022-11-23T01:30:20.6083606Z         }
2022-11-23T01:30:20.6083682Z         #pragma omp for 
2022-11-23T01:30:20.6083763Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.6083827Z         {
2022-11-23T01:30:20.6083957Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 8*i0);
2022-11-23T01:30:20.6084088Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T01:30:20.6084158Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.6084251Z             tmp2.store(in_out_ptr0 + 8*i0);
2022-11-23T01:30:20.6084312Z         }
2022-11-23T01:30:20.6084406Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6084485Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:20.6084544Z         {
2022-11-23T01:30:20.6084628Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:30:20.6084713Z             auto tmp1 = static_cast<float>(7);
2022-11-23T01:30:20.6084794Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.6084872Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6084932Z         }
2022-11-23T01:30:20.6085006Z         #pragma omp for 
2022-11-23T01:30:20.6085082Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.6085145Z         {
2022-11-23T01:30:20.6085263Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 8*i0);
2022-11-23T01:30:20.6085393Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:30:20.6085474Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.6085568Z             tmp2.store(in_out_ptr1 + 8*i0);
2022-11-23T01:30:20.6085670Z         }
2022-11-23T01:30:20.6085763Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6085841Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:20.6085891Z         {
2022-11-23T01:30:20.6085973Z             auto tmp0 = out_ptr2[i0];
2022-11-23T01:30:20.6086069Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:30:20.6086149Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.6086232Z             in_out_ptr1[i0] = tmp2;
2022-11-23T01:30:20.6086295Z         }
2022-11-23T01:30:20.6086371Z         #pragma omp for 
2022-11-23T01:30:20.6086438Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.6086528Z         {
2022-11-23T01:30:20.6086591Z             {
2022-11-23T01:30:20.6086656Z                 {
2022-11-23T01:30:20.6086749Z                     auto tmp0 = out_ptr4[i0];
2022-11-23T01:30:20.6086854Z                     auto tmp1 = static_cast<float>(15);
2022-11-23T01:30:20.6086945Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.6087024Z                     in_out_ptr2[i0] = tmp2;
2022-11-23T01:30:20.6087089Z                 }
2022-11-23T01:30:20.6087153Z             }
2022-11-23T01:30:20.6087215Z         }
2022-11-23T01:30:20.6087291Z         #pragma omp for 
2022-11-23T01:30:20.6087371Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.6087434Z         {
2022-11-23T01:30:20.6087486Z             {
2022-11-23T01:30:20.6087549Z                 {
2022-11-23T01:30:20.6087644Z                     auto tmp0 = out_ptr5[i0];
2022-11-23T01:30:20.6087746Z                     auto tmp1 = static_cast<float>(16);
2022-11-23T01:30:20.6087836Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:30:20.6087928Z                     in_out_ptr3[i0] = tmp2;
2022-11-23T01:30:20.6087979Z                 }
2022-11-23T01:30:20.6088043Z             }
2022-11-23T01:30:20.6088104Z         }
2022-11-23T01:30:20.6088167Z     }
2022-11-23T01:30:20.6088228Z }
2022-11-23T01:30:20.6088309Z ''')
2022-11-23T01:30:20.6088316Z 
2022-11-23T01:30:20.6088320Z 
2022-11-23T01:30:20.6088417Z async_compile.wait(globals())
2022-11-23T01:30:20.6088477Z del async_compile
2022-11-23T01:30:20.6088495Z 
2022-11-23T01:30:20.6088552Z def call(args):
2022-11-23T01:30:20.6088621Z     arg0_1, = args
2022-11-23T01:30:20.6088693Z     args.clear()
2022-11-23T01:30:20.6088904Z     buf0 = empty_strided((1, 2, 4, 1), (8, 4, 1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6089106Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6089305Z     buf2 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6089514Z     buf3 = empty_strided((1, 1, 4, 1), (4, 4, 1, 4), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6089691Z     buf4 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6089877Z     buf5 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6089962Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:30:20.6090046Z     buf7 = buf2; del buf2  # reuse
2022-11-23T01:30:20.6090126Z     buf8 = buf4; del buf4  # reuse
2022-11-23T01:30:20.6090206Z     buf9 = buf5; del buf5  # reuse
2022-11-23T01:30:20.6090465Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:30:20.6090534Z     del arg0_1
2022-11-23T01:30:20.6090608Z     return (buf6, buf7, buf8, buf9, )
2022-11-23T01:30:20.6090614Z 
2022-11-23T01:30:20.6090618Z 
2022-11-23T01:30:20.6090694Z if __name__ == "__main__":
2022-11-23T01:30:20.6090811Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6090935Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6091146Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6091257Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.6091660Z [2022-11-23 01:28:31,021] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4o/c4ov2qtgkplizcdxtgwa2jwranedk2rsaqgq2tsann5ufjrnkmd4.py
2022-11-23T01:30:20.6091927Z [2022-11-23 01:28:31,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 412
2022-11-23T01:30:20.6091933Z 
2022-11-23T01:30:20.6091987Z ok (1.564s)
2022-11-23T01:30:20.6092296Z   test_vdd_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:28:31,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6092609Z [2022-11-23 01:28:31,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6092853Z [2022-11-23 01:28:31,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6093103Z [2022-11-23 01:28:31,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6093381Z [2022-11-23 01:28:31,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6093698Z [2022-11-23 01:28:31,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6094039Z [2022-11-23 01:28:31,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6094356Z [2022-11-23 01:28:31,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6094736Z [2022-11-23 01:28:31,043] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0d3d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371> 
2022-11-23T01:30:20.6094833Z  4372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.6094921Z                2 LOAD_METHOD              1 (clamp_min)
2022-11-23T01:30:20.6095011Z                4 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6095099Z                6 LOAD_CONST               1 (3)
2022-11-23T01:30:20.6095187Z                8 CALL_METHOD              2
2022-11-23T01:30:20.6095263Z               10 RETURN_VALUE
2022-11-23T01:30:20.6095322Z  
2022-11-23T01:30:20.6095328Z 
2022-11-23T01:30:20.6095637Z [2022-11-23 01:28:31,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:4372
2022-11-23T01:30:20.6095842Z [2022-11-23 01:28:31,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.6096218Z [2022-11-23 01:28:31,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp_min [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.6096743Z [2022-11-23 01:28:31,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clamp_min of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.6097101Z [2022-11-23 01:28:31,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method clamp_min of type object at 0x7ff5d7c59c60>), TensorVariable()]
2022-11-23T01:30:20.6097495Z [2022-11-23 01:28:31,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method clamp_min of type object at 0x7ff5d7c59c60>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6097746Z [2022-11-23 01:28:31,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.6098127Z [2022-11-23 01:28:31,047] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0d3d60, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4371>
2022-11-23T01:30:20.6098418Z [2022-11-23 01:28:31,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.6098651Z [2022-11-23 01:28:31,047] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6098903Z [2022-11-23 01:28:31,048] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6099153Z [2022-11-23 01:28:31,053] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6099326Z [2022-11-23 01:28:31,053] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6099460Z  __compiled_fn_421 <eval_with_key>.3340 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6099584Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6099833Z call_function, clamp_min, <built-in method clamp_min of type object at 0x7ff5d7c59c60>, (ex_0_, 3), {}
2022-11-23T01:30:20.6099939Z output, output, output, ((clamp_min,),), {}
2022-11-23T01:30:20.6099944Z 
2022-11-23T01:30:20.6100273Z [2022-11-23 01:28:31,054] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6100367Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6100457Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6100531Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6100622Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6100705Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6100792Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6100866Z              12 RETURN_VALUE
2022-11-23T01:30:20.6100872Z 
2022-11-23T01:30:20.6100935Z  
2022-11-23T01:30:20.6101261Z [2022-11-23 01:28:31,054] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6101368Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_421)
2022-11-23T01:30:20.6101445Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6101534Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6101608Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6101693Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.6101779Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.6101851Z              12 RETURN_VALUE
2022-11-23T01:30:20.6101856Z 
2022-11-23T01:30:20.6101916Z  
2022-11-23T01:30:20.6102085Z [2022-11-23 01:28:31,055] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6102153Z  - 
2022-11-23T01:30:20.6102271Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6102334Z             {
2022-11-23T01:30:20.6102475Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6102659Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.6102775Z                 'obj_weakref': None
2022-11-23T01:30:20.6102987Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6103051Z             }
2022-11-23T01:30:20.6103113Z             
2022-11-23T01:30:20.6103181Z  - 
2022-11-23T01:30:20.6103303Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6103363Z             {
2022-11-23T01:30:20.6103503Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6103595Z                 'code': None,
2022-11-23T01:30:20.6103806Z                 'obj_weakref': <weakref at 0x7ff57ff17100; to 'Tensor' at 0x7ff5a80d3c40>
2022-11-23T01:30:20.6104057Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6104122Z             }
2022-11-23T01:30:20.6104184Z             
2022-11-23T01:30:20.6104251Z  - 
2022-11-23T01:30:20.6104379Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6104430Z             {
2022-11-23T01:30:20.6104562Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6104728Z                 'code': ['___check_obj_id(model, 140692371754000)'],
2022-11-23T01:30:20.6104872Z                 'obj_weakref': None
2022-11-23T01:30:20.6105101Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6105163Z             }
2022-11-23T01:30:20.6105223Z             
2022-11-23T01:30:20.6105279Z  - 
2022-11-23T01:30:20.6105399Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6105460Z             {
2022-11-23T01:30:20.6112057Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6112281Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6112458Z                 'obj_weakref': None
2022-11-23T01:30:20.6112677Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6112738Z             }
2022-11-23T01:30:20.6112788Z             
2022-11-23T01:30:20.6112856Z  - 
2022-11-23T01:30:20.6112986Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.6113051Z             {
2022-11-23T01:30:20.6113169Z                 'guard_types': None,
2022-11-23T01:30:20.6113275Z                 'code': None,
2022-11-23T01:30:20.6113378Z                 'obj_weakref': None
2022-11-23T01:30:20.6113494Z                 'guarded_class': None
2022-11-23T01:30:20.6113555Z             }
2022-11-23T01:30:20.6113615Z             
2022-11-23T01:30:20.6113970Z [2022-11-23 01:28:31,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 413
2022-11-23T01:30:20.6114345Z [2022-11-23 01:28:32,474] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a4/ca4d2dloouiywnhvihvqaa7t77wpuaavt747nbd2otxeblccmv62.py
2022-11-23T01:30:20.6114611Z [2022-11-23 01:28:32,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 413
2022-11-23T01:30:20.6114618Z 
2022-11-23T01:30:20.6114710Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6114766Z import torch
2022-11-23T01:30:20.6114833Z import random
2022-11-23T01:30:20.6114946Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6115066Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6115072Z 
2022-11-23T01:30:20.6115148Z aten = torch.ops.aten
2022-11-23T01:30:20.6115281Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6115370Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6115375Z 
2022-11-23T01:30:20.6115379Z 
2022-11-23T01:30:20.6115510Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6115701Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6115820Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6115918Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.6116012Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:30:20.6116071Z {
2022-11-23T01:30:20.6116166Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6116226Z     {
2022-11-23T01:30:20.6116293Z         #pragma omp for 
2022-11-23T01:30:20.6116374Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:30:20.6116436Z         {
2022-11-23T01:30:20.6116498Z             {
2022-11-23T01:30:20.6116561Z                 {
2022-11-23T01:30:20.6116650Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6116753Z                     auto tmp1 = static_cast<float>(3.0);
2022-11-23T01:30:20.6116855Z                     auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:30:20.6116955Z                     auto tmp3 = static_cast<float>(3);
2022-11-23T01:30:20.6117044Z                     auto tmp4 = tmp0 >= tmp3;
2022-11-23T01:30:20.6117128Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6117211Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:30:20.6117273Z                 }
2022-11-23T01:30:20.6117338Z             }
2022-11-23T01:30:20.6117387Z         }
2022-11-23T01:30:20.6117447Z     }
2022-11-23T01:30:20.6117505Z }
2022-11-23T01:30:20.6117581Z ''')
2022-11-23T01:30:20.6117630Z 
2022-11-23T01:30:20.6117635Z 
2022-11-23T01:30:20.6117725Z async_compile.wait(globals())
2022-11-23T01:30:20.6117794Z del async_compile
2022-11-23T01:30:20.6117799Z 
2022-11-23T01:30:20.6117866Z def call(args):
2022-11-23T01:30:20.6117928Z     primals_1, = args
2022-11-23T01:30:20.6117997Z     args.clear()
2022-11-23T01:30:20.6118190Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6118374Z     buf1 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.6118543Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:30:20.6118639Z     del primals_1
2022-11-23T01:30:20.6118715Z     return (buf0, buf1, )
2022-11-23T01:30:20.6118720Z 
2022-11-23T01:30:20.6118724Z 
2022-11-23T01:30:20.6118797Z if __name__ == "__main__":
2022-11-23T01:30:20.6118898Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6119019Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6119217Z     primals_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6119327Z     print_performance(lambda: call([primals_1]))
2022-11-23T01:30:20.6119332Z 
2022-11-23T01:30:20.6119397Z ok (1.439s)
2022-11-23T01:30:20.6119716Z   test_vertical_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:32,517] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6120028Z [2022-11-23 01:28:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6120243Z [2022-11-23 01:28:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6120492Z [2022-11-23 01:28:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6120756Z [2022-11-23 01:28:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6121074Z [2022-11-23 01:28:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6121419Z [2022-11-23 01:28:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6121739Z [2022-11-23 01:28:32,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6122106Z [2022-11-23 01:28:32,518] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d199210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702> 
2022-11-23T01:30:20.6122276Z  704           0 LOAD_CONST               1 (-3.087032500374211e-07)
2022-11-23T01:30:20.6122366Z               2 STORE_FAST               3 (v17)
2022-11-23T01:30:20.6122374Z 
2022-11-23T01:30:20.6122536Z 705           4 LOAD_CONST               2 (-1.988366587925593e-08)
2022-11-23T01:30:20.6122626Z               6 STORE_FAST               4 (v18)
2022-11-23T01:30:20.6122631Z 
2022-11-23T01:30:20.6122793Z 706           8 LOAD_CONST               3 (-1.061519070296458e-11)
2022-11-23T01:30:20.6122871Z              10 STORE_FAST               5 (v19)
2022-11-23T01:30:20.6122876Z 
2022-11-23T01:30:20.6123033Z 707          12 LOAD_CONST               4 (1.55093272922008e-10)
2022-11-23T01:30:20.6123123Z              14 STORE_FAST               6 (v20)
2022-11-23T01:30:20.6123128Z 
2022-11-23T01:30:20.6123216Z 708          16 LOAD_FAST                5 (v19)
2022-11-23T01:30:20.6123302Z              18 LOAD_FAST                1 (ct)
2022-11-23T01:30:20.6123381Z              20 BINARY_MULTIPLY
2022-11-23T01:30:20.6123467Z              22 STORE_FAST               7 (t15)
2022-11-23T01:30:20.6123471Z 
2022-11-23T01:30:20.6123556Z 709          24 LOAD_FAST                3 (v17)
2022-11-23T01:30:20.6123656Z              26 LOAD_FAST                1 (ct)
2022-11-23T01:30:20.6123744Z              28 LOAD_FAST                4 (v18)
2022-11-23T01:30:20.6123827Z              30 LOAD_FAST                7 (t15)
2022-11-23T01:30:20.6123898Z              32 BINARY_ADD
2022-11-23T01:30:20.6123975Z              34 BINARY_MULTIPLY
2022-11-23T01:30:20.6124044Z              36 BINARY_ADD
2022-11-23T01:30:20.6124127Z              38 LOAD_FAST                6 (v20)
2022-11-23T01:30:20.6124204Z              40 LOAD_FAST                0 (sa)
2022-11-23T01:30:20.6124279Z              42 BINARY_MULTIPLY
2022-11-23T01:30:20.6124382Z              44 BINARY_ADD
2022-11-23T01:30:20.6124469Z              46 STORE_FAST               8 (t19)
2022-11-23T01:30:20.6124474Z 
2022-11-23T01:30:20.6124559Z 710          48 LOAD_CONST               5 (1.0)
2022-11-23T01:30:20.6124642Z              50 LOAD_FAST                8 (t19)
2022-11-23T01:30:20.6124722Z              52 BINARY_TRUE_DIVIDE
2022-11-23T01:30:20.6124798Z              54 STORE_FAST               9 (t20)
2022-11-23T01:30:20.6124814Z 
2022-11-23T01:30:20.6124888Z 711          56 LOAD_FAST                8 (t19)
2022-11-23T01:30:20.6124975Z              58 LOAD_FAST                2 (p)
2022-11-23T01:30:20.6125050Z              60 BINARY_MULTIPLY
2022-11-23T01:30:20.6125137Z              62 STORE_FAST              10 (t128)
2022-11-23T01:30:20.6125142Z 
2022-11-23T01:30:20.6125226Z 712          64 LOAD_FAST                9 (t20)
2022-11-23T01:30:20.6125312Z              66 LOAD_FAST               10 (t128)
2022-11-23T01:30:20.6125381Z              68 BINARY_ADD
2022-11-23T01:30:20.6125445Z              70 RETURN_VALUE
2022-11-23T01:30:20.6125503Z  
2022-11-23T01:30:20.6125508Z 
2022-11-23T01:30:20.6125822Z [2022-11-23 01:28:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:704
2022-11-23T01:30:20.6126064Z [2022-11-23 01:28:32,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3.087032500374211e-07 []
2022-11-23T01:30:20.6126317Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v17 [ConstantVariable(float)]
2022-11-23T01:30:20.6126625Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:705
2022-11-23T01:30:20.6126860Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.988366587925593e-08 []
2022-11-23T01:30:20.6127108Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v18 [ConstantVariable(float)]
2022-11-23T01:30:20.6127413Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:706
2022-11-23T01:30:20.6127634Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.061519070296458e-11 []
2022-11-23T01:30:20.6127884Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v19 [ConstantVariable(float)]
2022-11-23T01:30:20.6128190Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:707
2022-11-23T01:30:20.6128422Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.55093272922008e-10 []
2022-11-23T01:30:20.6128668Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v20 [ConstantVariable(float)]
2022-11-23T01:30:20.6128971Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:708
2022-11-23T01:30:20.6129181Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v19 []
2022-11-23T01:30:20.6129427Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:30:20.6129745Z [2022-11-23 01:28:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.6129982Z [2022-11-23 01:28:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t15 [TensorVariable()]
2022-11-23T01:30:20.6130278Z [2022-11-23 01:28:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:709
2022-11-23T01:30:20.6130486Z [2022-11-23 01:28:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v17 []
2022-11-23T01:30:20.6130730Z [2022-11-23 01:28:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:30:20.6131046Z [2022-11-23 01:28:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v18 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.6131360Z [2022-11-23 01:28:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t15 [ConstantVariable(float), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.6131712Z [2022-11-23 01:28:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.6132031Z [2022-11-23 01:28:32,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6132314Z [2022-11-23 01:28:32,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.6132568Z [2022-11-23 01:28:32,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v20 [TensorVariable()]
2022-11-23T01:30:20.6132946Z [2022-11-23 01:28:32,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sa [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:30:20.6133256Z [2022-11-23 01:28:32,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.6133521Z [2022-11-23 01:28:32,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6133757Z [2022-11-23 01:28:32,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t19 [TensorVariable()]
2022-11-23T01:30:20.6134074Z [2022-11-23 01:28:32,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:710
2022-11-23T01:30:20.6134289Z [2022-11-23 01:28:32,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 []
2022-11-23T01:30:20.6134537Z [2022-11-23 01:28:32,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [ConstantVariable(float)]
2022-11-23T01:30:20.6134832Z [2022-11-23 01:28:32,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.6135069Z [2022-11-23 01:28:32,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t20 [TensorVariable()]
2022-11-23T01:30:20.6135377Z [2022-11-23 01:28:32,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:711
2022-11-23T01:30:20.6135584Z [2022-11-23 01:28:32,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 []
2022-11-23T01:30:20.6135805Z [2022-11-23 01:28:32,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST p [TensorVariable()]
2022-11-23T01:30:20.6136080Z [2022-11-23 01:28:32,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6136318Z [2022-11-23 01:28:32,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t128 [TensorVariable()]
2022-11-23T01:30:20.6136747Z [2022-11-23 01:28:32,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:712
2022-11-23T01:30:20.6137028Z [2022-11-23 01:28:32,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t20 []
2022-11-23T01:30:20.6137269Z [2022-11-23 01:28:32,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t128 [TensorVariable()]
2022-11-23T01:30:20.6137541Z [2022-11-23 01:28:32,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6137785Z [2022-11-23 01:28:32,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.6138157Z [2022-11-23 01:28:32,527] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d199210, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 702>
2022-11-23T01:30:20.6138443Z [2022-11-23 01:28:32,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.6138665Z [2022-11-23 01:28:32,527] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6138918Z [2022-11-23 01:28:32,529] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6139168Z [2022-11-23 01:28:32,535] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6139354Z [2022-11-23 01:28:32,536] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6139489Z  __compiled_fn_422 <eval_with_key>.3351 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6139577Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6139663Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6139746Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:30:20.6139935Z call_function, mul, <built-in function mul>, (-1.061519070296458e-11, ex_1_), {}
2022-11-23T01:30:20.6140135Z call_function, add, <built-in function add>, (-1.988366587925593e-08, mul), {}
2022-11-23T01:30:20.6140314Z call_function, mul_1, <built-in function mul>, (ex_1_, add), {}
2022-11-23T01:30:20.6140517Z call_function, add_1, <built-in function add>, (-3.087032500374211e-07, mul_1), {}
2022-11-23T01:30:20.6140716Z call_function, mul_2, <built-in function mul>, (1.55093272922008e-10, ex_0_), {}
2022-11-23T01:30:20.6140897Z call_function, add_2, <built-in function add>, (add_1, mul_2), {}
2022-11-23T01:30:20.6141083Z call_function, truediv, <built-in function truediv>, (1.0, add_2), {}
2022-11-23T01:30:20.6141246Z call_function, mul_3, <built-in function mul>, (add_2, ex_2_), {}
2022-11-23T01:30:20.6141428Z call_function, add_3, <built-in function add>, (truediv, mul_3), {}
2022-11-23T01:30:20.6141521Z output, output, output, ((add_3,),), {}
2022-11-23T01:30:20.6141528Z 
2022-11-23T01:30:20.6141855Z [2022-11-23 01:28:32,536] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6141952Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6142041Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6142126Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6142217Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6142289Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6142374Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6142448Z              12 RETURN_VALUE
2022-11-23T01:30:20.6142453Z 
2022-11-23T01:30:20.6142513Z  
2022-11-23T01:30:20.6142832Z [2022-11-23 01:28:32,536] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6142939Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_422)
2022-11-23T01:30:20.6143026Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6143116Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6143179Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6143267Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6143354Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6143426Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6143536Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6143621Z              16 LOAD_CONST               3 (2)
2022-11-23T01:30:20.6143693Z              18 BINARY_SUBSCR
2022-11-23T01:30:20.6143767Z              20 CALL_FUNCTION            3
2022-11-23T01:30:20.6143854Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.6143926Z              24 RETURN_VALUE
2022-11-23T01:30:20.6143931Z 
2022-11-23T01:30:20.6143992Z  
2022-11-23T01:30:20.6144174Z [2022-11-23 01:28:32,537] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6144243Z  - 
2022-11-23T01:30:20.6144360Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6144440Z             {
2022-11-23T01:30:20.6144581Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6144768Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 3'],
2022-11-23T01:30:20.6144885Z                 'obj_weakref': None
2022-11-23T01:30:20.6145112Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6145174Z             }
2022-11-23T01:30:20.6145236Z             
2022-11-23T01:30:20.6145291Z  - 
2022-11-23T01:30:20.6145412Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6145473Z             {
2022-11-23T01:30:20.6145615Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6145719Z                 'code': None,
2022-11-23T01:30:20.6145932Z                 'obj_weakref': <weakref at 0x7ff58fc1ef20; to 'Tensor' at 0x7ff58fe75bc0>
2022-11-23T01:30:20.6146187Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6146252Z             }
2022-11-23T01:30:20.6146301Z             
2022-11-23T01:30:20.6146369Z  - 
2022-11-23T01:30:20.6146494Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6146555Z             {
2022-11-23T01:30:20.6146696Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6146802Z                 'code': None,
2022-11-23T01:30:20.6147001Z                 'obj_weakref': <weakref at 0x7ff58fc1ca40; to 'Tensor' at 0x7ff58f9aa110>
2022-11-23T01:30:20.6147252Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6147313Z             }
2022-11-23T01:30:20.6147374Z             
2022-11-23T01:30:20.6147441Z  - 
2022-11-23T01:30:20.6147562Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:30:20.6147623Z             {
2022-11-23T01:30:20.6147751Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6147855Z                 'code': None,
2022-11-23T01:30:20.6148065Z                 'obj_weakref': <weakref at 0x7ff58fc1eac0; to 'Tensor' at 0x7ff59c18f510>
2022-11-23T01:30:20.6148314Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6148375Z             }
2022-11-23T01:30:20.6148436Z             
2022-11-23T01:30:20.6148504Z  - 
2022-11-23T01:30:20.6148620Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6148682Z             {
2022-11-23T01:30:20.6148814Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6148980Z                 'code': ['___check_obj_id(model, 140692371760336)'],
2022-11-23T01:30:20.6149096Z                 'obj_weakref': None
2022-11-23T01:30:20.6149325Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6149386Z             }
2022-11-23T01:30:20.6149434Z             
2022-11-23T01:30:20.6149501Z  - 
2022-11-23T01:30:20.6149623Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6149684Z             {
2022-11-23T01:30:20.6149816Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6150030Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6150145Z                 'obj_weakref': None
2022-11-23T01:30:20.6150378Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6150443Z             }
2022-11-23T01:30:20.6150502Z             
2022-11-23T01:30:20.6150762Z [2022-11-23 01:28:32,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 414
2022-11-23T01:30:20.6151121Z [2022-11-23 01:28:33,960] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j2/cj22evj3hg63u6xboga4secgewemf3t74i4rsigngiyy5j7lglvi.py
2022-11-23T01:30:20.6151383Z [2022-11-23 01:28:33,961] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 414
2022-11-23T01:30:20.6151417Z 
2022-11-23T01:30:20.6151511Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6151579Z import torch
2022-11-23T01:30:20.6151635Z import random
2022-11-23T01:30:20.6151747Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6151865Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6151872Z 
2022-11-23T01:30:20.6151949Z aten = torch.ops.aten
2022-11-23T01:30:20.6152081Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6152170Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6152176Z 
2022-11-23T01:30:20.6152180Z 
2022-11-23T01:30:20.6152312Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6152515Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6152632Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6152724Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6152826Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:30:20.6152923Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6152982Z {
2022-11-23T01:30:20.6153077Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6153136Z     {
2022-11-23T01:30:20.6153200Z         #pragma omp for 
2022-11-23T01:30:20.6153284Z         for(long i0=0; i0<41616; i0+=1)
2022-11-23T01:30:20.6153346Z         {
2022-11-23T01:30:20.6153425Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:30:20.6153487Z             {
2022-11-23T01:30:20.6153632Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (26*i0));
2022-11-23T01:30:20.6153770Z                 auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (26*i0));
2022-11-23T01:30:20.6153972Z                 auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr2 + 8*i1);
2022-11-23T01:30:20.6154193Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.061519070296458e-11));
2022-11-23T01:30:20.6154283Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.6154504Z                 auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(-1.988366587925593e-08));
2022-11-23T01:30:20.6154589Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6154675Z                 auto tmp5 = tmp0 * tmp4;
2022-11-23T01:30:20.6154898Z                 auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(-3.087032500374211e-07));
2022-11-23T01:30:20.6154982Z                 auto tmp7 = tmp5 + tmp6;
2022-11-23T01:30:20.6155201Z                 auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1.55093272922008e-10));
2022-11-23T01:30:20.6155288Z                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:30:20.6155366Z                 auto tmp11 = tmp7 + tmp10;
2022-11-23T01:30:20.6155466Z                 auto tmp12 = tmp11.reciprocal();
2022-11-23T01:30:20.6155600Z                 auto tmp13 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:30:20.6155691Z                 auto tmp14 = tmp12 * tmp13;
2022-11-23T01:30:20.6155778Z                 auto tmp16 = tmp11 * tmp15;
2022-11-23T01:30:20.6155863Z                 auto tmp17 = tmp14 + tmp16;
2022-11-23T01:30:20.6155965Z                 tmp17.store(out_ptr0 + (8*i1) + (26*i0));
2022-11-23T01:30:20.6156016Z             }
2022-11-23T01:30:20.6156138Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.6156225Z             for(long i1=24; i1<26; i1+=1)
2022-11-23T01:30:20.6156287Z             {
2022-11-23T01:30:20.6156379Z                 auto tmp0 = in_ptr0[i1 + (26*i0)];
2022-11-23T01:30:20.6156470Z                 auto tmp8 = in_ptr1[i1 + (26*i0)];
2022-11-23T01:30:20.6156555Z                 auto tmp15 = in_ptr2[i1];
2022-11-23T01:30:20.6156720Z                 auto tmp1 = static_cast<float>(-1.061519070296458e-11);
2022-11-23T01:30:20.6156804Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.6156979Z                 auto tmp3 = static_cast<float>(-1.988366587925593e-08);
2022-11-23T01:30:20.6157092Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6157174Z                 auto tmp5 = tmp0 * tmp4;
2022-11-23T01:30:20.6157346Z                 auto tmp6 = static_cast<float>(-3.087032500374211e-07);
2022-11-23T01:30:20.6157432Z                 auto tmp7 = tmp5 + tmp6;
2022-11-23T01:30:20.6157595Z                 auto tmp9 = static_cast<float>(1.55093272922008e-10);
2022-11-23T01:30:20.6157681Z                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:30:20.6157768Z                 auto tmp11 = tmp7 + tmp10;
2022-11-23T01:30:20.6157852Z                 auto tmp12 = 1 / tmp11;
2022-11-23T01:30:20.6157954Z                 auto tmp13 = static_cast<float>(1.0);
2022-11-23T01:30:20.6158042Z                 auto tmp14 = tmp12 * tmp13;
2022-11-23T01:30:20.6158130Z                 auto tmp16 = tmp11 * tmp15;
2022-11-23T01:30:20.6158216Z                 auto tmp17 = tmp14 + tmp16;
2022-11-23T01:30:20.6158293Z                 out_ptr0[i1 + (26*i0)] = tmp17;
2022-11-23T01:30:20.6158358Z             }
2022-11-23T01:30:20.6158420Z         }
2022-11-23T01:30:20.6158480Z     }
2022-11-23T01:30:20.6158537Z }
2022-11-23T01:30:20.6158612Z ''')
2022-11-23T01:30:20.6158617Z 
2022-11-23T01:30:20.6158622Z 
2022-11-23T01:30:20.6158708Z async_compile.wait(globals())
2022-11-23T01:30:20.6158767Z del async_compile
2022-11-23T01:30:20.6158772Z 
2022-11-23T01:30:20.6158842Z def call(args):
2022-11-23T01:30:20.6158924Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:30:20.6158993Z     args.clear()
2022-11-23T01:30:20.6159206Z     buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6159393Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6159462Z     del arg0_1
2022-11-23T01:30:20.6159514Z     del arg1_1
2022-11-23T01:30:20.6159581Z     del arg2_1
2022-11-23T01:30:20.6159651Z     return (buf0, )
2022-11-23T01:30:20.6159656Z 
2022-11-23T01:30:20.6159663Z 
2022-11-23T01:30:20.6159738Z if __name__ == "__main__":
2022-11-23T01:30:20.6159850Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6159969Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6160183Z     arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6160397Z     arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6160575Z     arg2_1 = rand_strided((26, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6160695Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:30:20.6160700Z 
2022-11-23T01:30:20.6160765Z ok (1.496s)
2022-11-23T01:30:20.6161068Z   test_views1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:33,978] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6161382Z [2022-11-23 01:28:33,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6161598Z [2022-11-23 01:28:33,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6161848Z [2022-11-23 01:28:33,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6162149Z [2022-11-23 01:28:33,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6162468Z [2022-11-23 01:28:33,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6162800Z [2022-11-23 01:28:33,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6163120Z [2022-11-23 01:28:33,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6163525Z [2022-11-23 01:28:33,979] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6163614Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6163710Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6163802Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6163887Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6163975Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6164047Z              10 BINARY_ADD
2022-11-23T01:30:20.6164122Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6164195Z              14 RETURN_VALUE
2022-11-23T01:30:20.6164254Z  
2022-11-23T01:30:20.6164259Z 
2022-11-23T01:30:20.6164570Z [2022-11-23 01:28:33,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6164780Z [2022-11-23 01:28:33,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6165020Z [2022-11-23 01:28:33,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6165301Z [2022-11-23 01:28:33,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6165598Z [2022-11-23 01:28:33,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6165822Z [2022-11-23 01:28:33,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6166089Z [2022-11-23 01:28:33,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6166327Z [2022-11-23 01:28:33,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6166571Z [2022-11-23 01:28:33,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6166947Z [2022-11-23 01:28:33,983] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6167190Z [2022-11-23 01:28:33,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6167423Z [2022-11-23 01:28:33,983] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6167678Z [2022-11-23 01:28:33,985] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6167925Z [2022-11-23 01:28:33,989] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6168112Z [2022-11-23 01:28:33,990] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6168234Z  __compiled_fn_423 <eval_with_key>.3357 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6168320Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6168406Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6168502Z call_method, view, view, (ex_0_, [5, 7]), {}
2022-11-23T01:30:20.6168701Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6168796Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6168802Z 
2022-11-23T01:30:20.6169125Z [2022-11-23 01:28:33,990] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6169217Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6169295Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6169378Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6169468Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6169577Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6169664Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6169739Z              12 RETURN_VALUE
2022-11-23T01:30:20.6169745Z 
2022-11-23T01:30:20.6169804Z  
2022-11-23T01:30:20.6170112Z [2022-11-23 01:28:33,990] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6170219Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_423)
2022-11-23T01:30:20.6170306Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6170395Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6170469Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6170557Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6170642Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6170704Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6170790Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6170894Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6171019Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6171113Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6171199Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6171292Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6171390Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6171465Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6171539Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6171625Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6171716Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6171813Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6171898Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6171972Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6172063Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6172151Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6172246Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6172332Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6172409Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6172507Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6172580Z              54 RETURN_VALUE
2022-11-23T01:30:20.6172586Z 
2022-11-23T01:30:20.6172633Z  
2022-11-23T01:30:20.6172815Z [2022-11-23 01:28:33,992] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6172884Z  - 
2022-11-23T01:30:20.6173002Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6173065Z             {
2022-11-23T01:30:20.6173205Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6173389Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6173497Z                 'obj_weakref': None
2022-11-23T01:30:20.6173718Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6173781Z             }
2022-11-23T01:30:20.6173845Z             
2022-11-23T01:30:20.6173912Z  - 
2022-11-23T01:30:20.6174034Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6174120Z             {
2022-11-23T01:30:20.6174249Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6174355Z                 'code': None,
2022-11-23T01:30:20.6174567Z                 'obj_weakref': <weakref at 0x7ff58fc1d350; to 'Tensor' at 0x7ff57ee82250>
2022-11-23T01:30:20.6174819Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6174884Z             }
2022-11-23T01:30:20.6174948Z             
2022-11-23T01:30:20.6175014Z  - 
2022-11-23T01:30:20.6175121Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6175212Z             {
2022-11-23T01:30:20.6175353Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6175457Z                 'code': None,
2022-11-23T01:30:20.6175667Z                 'obj_weakref': <weakref at 0x7ff58fc1d5d0; to 'Tensor' at 0x7ff58fdc0f90>
2022-11-23T01:30:20.6175920Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6175980Z             }
2022-11-23T01:30:20.6176029Z             
2022-11-23T01:30:20.6176097Z  - 
2022-11-23T01:30:20.6176224Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6176289Z             {
2022-11-23T01:30:20.6176543Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6176710Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6176826Z                 'obj_weakref': None
2022-11-23T01:30:20.6177043Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6177107Z             }
2022-11-23T01:30:20.6177166Z             
2022-11-23T01:30:20.6177236Z  - 
2022-11-23T01:30:20.6177354Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6177415Z             {
2022-11-23T01:30:20.6177548Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6177752Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6177867Z                 'obj_weakref': None
2022-11-23T01:30:20.6178082Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6178145Z             }
2022-11-23T01:30:20.6178205Z             
2022-11-23T01:30:20.6178273Z  - 
2022-11-23T01:30:20.6178446Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6178497Z             {
2022-11-23T01:30:20.6178665Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6179207Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:30:20.6179333Z                 'obj_weakref': None
2022-11-23T01:30:20.6179551Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6179613Z             }
2022-11-23T01:30:20.6179674Z             
2022-11-23T01:30:20.6179741Z  - 
2022-11-23T01:30:20.6179910Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6179972Z             {
2022-11-23T01:30:20.6180111Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6180394Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:30:20.6180513Z                 'obj_weakref': None
2022-11-23T01:30:20.6180729Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6180790Z             }
2022-11-23T01:30:20.6180850Z             
2022-11-23T01:30:20.6180906Z  - 
2022-11-23T01:30:20.6181148Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6181211Z             {
2022-11-23T01:30:20.6181351Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6181631Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:30:20.6181746Z                 'obj_weakref': None
2022-11-23T01:30:20.6181966Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6182015Z             }
2022-11-23T01:30:20.6182076Z             
2022-11-23T01:30:20.6182335Z [2022-11-23 01:28:34,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 415
2022-11-23T01:30:20.6182729Z [2022-11-23 01:28:35,401] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w4/cw44opu6o24jr33nqfakk5exjgwrlu2ydcabqtq7rbn2aq75di63.py
2022-11-23T01:30:20.6182992Z [2022-11-23 01:28:35,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 415
2022-11-23T01:30:20.6183227Z [2022-11-23 01:28:35,405] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6183538Z [2022-11-23 01:28:35,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6183752Z [2022-11-23 01:28:35,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6184000Z [2022-11-23 01:28:35,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6184266Z [2022-11-23 01:28:35,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6184583Z [2022-11-23 01:28:35,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6184928Z [2022-11-23 01:28:35,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6185249Z [2022-11-23 01:28:35,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6185621Z [2022-11-23 01:28:35,406] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6185711Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6185802Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6185874Z               4 BINARY_ADD
2022-11-23T01:30:20.6185965Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6186044Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6186128Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6186218Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6186289Z              14 BINARY_ADD
2022-11-23T01:30:20.6186376Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6186453Z              18 RETURN_VALUE
2022-11-23T01:30:20.6186513Z  
2022-11-23T01:30:20.6186518Z 
2022-11-23T01:30:20.6186818Z [2022-11-23 01:28:35,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6187025Z [2022-11-23 01:28:35,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6187262Z [2022-11-23 01:28:35,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6187543Z [2022-11-23 01:28:35,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6187781Z [2022-11-23 01:28:35,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6188112Z [2022-11-23 01:28:35,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6188413Z [2022-11-23 01:28:35,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6188639Z [2022-11-23 01:28:35,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6196718Z [2022-11-23 01:28:35,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6197053Z [2022-11-23 01:28:35,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6197406Z [2022-11-23 01:28:35,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6197798Z [2022-11-23 01:28:35,410] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6198045Z [2022-11-23 01:28:35,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6198279Z [2022-11-23 01:28:35,410] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6198533Z [2022-11-23 01:28:35,411] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6198782Z [2022-11-23 01:28:35,415] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6198959Z [2022-11-23 01:28:35,415] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6199094Z  __compiled_fn_424 <eval_with_key>.3363 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6199185Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6199273Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6199446Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6199543Z call_method, view, view, (add, [5, 7]), {}
2022-11-23T01:30:20.6199721Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6199803Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6199822Z 
2022-11-23T01:30:20.6200134Z [2022-11-23 01:28:35,415] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6200227Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6200317Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6200405Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6200496Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6200580Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6200668Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6200730Z              12 RETURN_VALUE
2022-11-23T01:30:20.6200736Z 
2022-11-23T01:30:20.6200798Z  
2022-11-23T01:30:20.6201121Z [2022-11-23 01:28:35,416] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6201229Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_424)
2022-11-23T01:30:20.6201318Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6201407Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6201482Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6201569Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6201642Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6201719Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6201807Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6201912Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6202039Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6202169Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6202258Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6202339Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6202438Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6202526Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6202601Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6202687Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6202776Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6202872Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6202974Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6203042Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6203140Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6203224Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6203321Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6203398Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6203471Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6203558Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6203623Z              54 RETURN_VALUE
2022-11-23T01:30:20.6203629Z 
2022-11-23T01:30:20.6203689Z  
2022-11-23T01:30:20.6203874Z [2022-11-23 01:28:35,417] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6203946Z  - 
2022-11-23T01:30:20.6204064Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6204127Z             {
2022-11-23T01:30:20.6204269Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6204444Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6204562Z                 'obj_weakref': None
2022-11-23T01:30:20.6204783Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6204849Z             }
2022-11-23T01:30:20.6204913Z             
2022-11-23T01:30:20.6204981Z  - 
2022-11-23T01:30:20.6205106Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6205156Z             {
2022-11-23T01:30:20.6205296Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6205402Z                 'code': None,
2022-11-23T01:30:20.6205611Z                 'obj_weakref': <weakref at 0x7ff5a84e2b10; to 'Tensor' at 0x7ff57ee36070>
2022-11-23T01:30:20.6205862Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6205922Z             }
2022-11-23T01:30:20.6205987Z             
2022-11-23T01:30:20.6206042Z  - 
2022-11-23T01:30:20.6206164Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6206226Z             {
2022-11-23T01:30:20.6206369Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6206475Z                 'code': None,
2022-11-23T01:30:20.6206685Z                 'obj_weakref': <weakref at 0x7ff5a84e3470; to 'Tensor' at 0x7ff57ee378d0>
2022-11-23T01:30:20.6206934Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6206984Z             }
2022-11-23T01:30:20.6207046Z             
2022-11-23T01:30:20.6207115Z  - 
2022-11-23T01:30:20.6207245Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6207308Z             {
2022-11-23T01:30:20.6207442Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6207607Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6207714Z                 'obj_weakref': None
2022-11-23T01:30:20.6207944Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6208008Z             }
2022-11-23T01:30:20.6208070Z             
2022-11-23T01:30:20.6208138Z  - 
2022-11-23T01:30:20.6208257Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6208347Z             {
2022-11-23T01:30:20.6208472Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6208687Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6208804Z                 'obj_weakref': None
2022-11-23T01:30:20.6209022Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6209083Z             }
2022-11-23T01:30:20.6209145Z             
2022-11-23T01:30:20.6209211Z  - 
2022-11-23T01:30:20.6209376Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6209467Z             {
2022-11-23T01:30:20.6209636Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6210176Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:30:20.6210295Z                 'obj_weakref': None
2022-11-23T01:30:20.6210516Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6210577Z             }
2022-11-23T01:30:20.6210637Z             
2022-11-23T01:30:20.6210693Z  - 
2022-11-23T01:30:20.6210877Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6210939Z             {
2022-11-23T01:30:20.6211080Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6211365Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:30:20.6211485Z                 'obj_weakref': None
2022-11-23T01:30:20.6211704Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6211756Z             }
2022-11-23T01:30:20.6211818Z             
2022-11-23T01:30:20.6211886Z  - 
2022-11-23T01:30:20.6212069Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6212132Z             {
2022-11-23T01:30:20.6212272Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6212556Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:30:20.6212660Z                 'obj_weakref': None
2022-11-23T01:30:20.6212881Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6212946Z             }
2022-11-23T01:30:20.6213008Z             
2022-11-23T01:30:20.6213268Z [2022-11-23 01:28:35,423] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 416
2022-11-23T01:30:20.6213643Z [2022-11-23 01:28:36,850] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbdvji2i2hqtuuqhnfr3t6ewpqoqpcz6xcdbfhhg3jsoprph7f5.py
2022-11-23T01:30:20.6213906Z [2022-11-23 01:28:36,850] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 416
2022-11-23T01:30:20.6214143Z [2022-11-23 01:28:36,855] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6214457Z [2022-11-23 01:28:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6214659Z [2022-11-23 01:28:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6214911Z [2022-11-23 01:28:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6215183Z [2022-11-23 01:28:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6215528Z [2022-11-23 01:28:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6215875Z [2022-11-23 01:28:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6216196Z [2022-11-23 01:28:36,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6216740Z [2022-11-23 01:28:36,856] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6216889Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6216983Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6217065Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6217153Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6217244Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6217316Z              10 BINARY_ADD
2022-11-23T01:30:20.6217404Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6217480Z              14 RETURN_VALUE
2022-11-23T01:30:20.6217540Z  
2022-11-23T01:30:20.6217547Z 
2022-11-23T01:30:20.6217862Z [2022-11-23 01:28:36,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6218056Z [2022-11-23 01:28:36,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6218297Z [2022-11-23 01:28:36,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6218581Z [2022-11-23 01:28:36,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6218885Z [2022-11-23 01:28:36,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6219121Z [2022-11-23 01:28:36,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6219391Z [2022-11-23 01:28:36,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6219630Z [2022-11-23 01:28:36,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6219874Z [2022-11-23 01:28:36,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6220255Z [2022-11-23 01:28:36,858] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6220498Z [2022-11-23 01:28:36,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6220721Z [2022-11-23 01:28:36,858] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6220972Z [2022-11-23 01:28:36,860] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6221220Z [2022-11-23 01:28:36,863] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6221409Z [2022-11-23 01:28:36,863] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6221542Z  __compiled_fn_425 <eval_with_key>.3369 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6221630Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6221716Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6221821Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:30:20.6221987Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6222079Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6222084Z 
2022-11-23T01:30:20.6222442Z [2022-11-23 01:28:36,864] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6222540Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6222630Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6222716Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6222808Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6222893Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6222968Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6223042Z              12 RETURN_VALUE
2022-11-23T01:30:20.6223074Z 
2022-11-23T01:30:20.6223136Z  
2022-11-23T01:30:20.6223456Z [2022-11-23 01:28:36,864] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6223563Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_425)
2022-11-23T01:30:20.6223655Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6223743Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6223807Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6223895Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6223984Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6224057Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6224141Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6224244Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6224371Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6224456Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6224542Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6224636Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6224734Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6224824Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6224899Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6224984Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6225075Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6225158Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6225246Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6225320Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6225420Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6225509Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6225606Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6225692Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6225755Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6225852Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6225925Z              54 RETURN_VALUE
2022-11-23T01:30:20.6225933Z 
2022-11-23T01:30:20.6225992Z  
2022-11-23T01:30:20.6226175Z [2022-11-23 01:28:36,865] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6226244Z  - 
2022-11-23T01:30:20.6226361Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6226412Z             {
2022-11-23T01:30:20.6226550Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6226736Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6226854Z                 'obj_weakref': None
2022-11-23T01:30:20.6227078Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6227143Z             }
2022-11-23T01:30:20.6227205Z             
2022-11-23T01:30:20.6227260Z  - 
2022-11-23T01:30:20.6227383Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6227445Z             {
2022-11-23T01:30:20.6227586Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6227692Z                 'code': None,
2022-11-23T01:30:20.6227931Z                 'obj_weakref': <weakref at 0x7ff58fe77880; to 'Tensor' at 0x7ff5a84e3330>
2022-11-23T01:30:20.6228185Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6228235Z             }
2022-11-23T01:30:20.6228298Z             
2022-11-23T01:30:20.6228366Z  - 
2022-11-23T01:30:20.6228489Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6228550Z             {
2022-11-23T01:30:20.6228692Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6228795Z                 'code': None,
2022-11-23T01:30:20.6229023Z                 'obj_weakref': <weakref at 0x7ff58fd2a7a0; to 'Tensor' at 0x7ff5a84e0fe0>
2022-11-23T01:30:20.6229274Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6229337Z             }
2022-11-23T01:30:20.6229398Z             
2022-11-23T01:30:20.6229465Z  - 
2022-11-23T01:30:20.6229596Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6229658Z             {
2022-11-23T01:30:20.6229778Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6229947Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6230063Z                 'obj_weakref': None
2022-11-23T01:30:20.6230291Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6230354Z             }
2022-11-23T01:30:20.6230415Z             
2022-11-23T01:30:20.6230481Z  - 
2022-11-23T01:30:20.6230589Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6230654Z             {
2022-11-23T01:30:20.6230791Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6231007Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6231122Z                 'obj_weakref': None
2022-11-23T01:30:20.6231339Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6231401Z             }
2022-11-23T01:30:20.6231450Z             
2022-11-23T01:30:20.6231517Z  - 
2022-11-23T01:30:20.6231693Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6231756Z             {
2022-11-23T01:30:20.6231922Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6232856Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[5], 94571819095424)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:30:20.6232979Z                 'obj_weakref': None
2022-11-23T01:30:20.6233200Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6233278Z             }
2022-11-23T01:30:20.6233352Z             
2022-11-23T01:30:20.6233451Z  - 
2022-11-23T01:30:20.6233673Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6233737Z             {
2022-11-23T01:30:20.6233951Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6234241Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:30:20.6234360Z                 'obj_weakref': None
2022-11-23T01:30:20.6234578Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6234629Z             }
2022-11-23T01:30:20.6234746Z             
2022-11-23T01:30:20.6234817Z  - 
2022-11-23T01:30:20.6235000Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6235063Z             {
2022-11-23T01:30:20.6235203Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6235481Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:30:20.6235587Z                 'obj_weakref': None
2022-11-23T01:30:20.6235803Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6235895Z             }
2022-11-23T01:30:20.6235956Z             
2022-11-23T01:30:20.6236026Z  - 
2022-11-23T01:30:20.6236209Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6236270Z             {
2022-11-23T01:30:20.6236400Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6236681Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:30:20.6236799Z                 'obj_weakref': None
2022-11-23T01:30:20.6237018Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6237081Z             }
2022-11-23T01:30:20.6237142Z             
2022-11-23T01:30:20.6237210Z  - 
2022-11-23T01:30:20.6237382Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6237445Z             {
2022-11-23T01:30:20.6237588Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6237870Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:30:20.6237987Z                 'obj_weakref': None
2022-11-23T01:30:20.6238207Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6238269Z             }
2022-11-23T01:30:20.6238319Z             
2022-11-23T01:30:20.6238386Z  - 
2022-11-23T01:30:20.6238569Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:30:20.6238631Z             {
2022-11-23T01:30:20.6238769Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6239049Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:30:20.6239167Z                 'obj_weakref': None
2022-11-23T01:30:20.6239383Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6239435Z             }
2022-11-23T01:30:20.6239497Z             
2022-11-23T01:30:20.6239566Z  - 
2022-11-23T01:30:20.6239748Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:30:20.6239810Z             {
2022-11-23T01:30:20.6239952Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6240230Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94571819095424)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:30:20.6240334Z                 'obj_weakref': None
2022-11-23T01:30:20.6240549Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6240612Z             }
2022-11-23T01:30:20.6240674Z             
2022-11-23T01:30:20.6240935Z [2022-11-23 01:28:36,871] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 417
2022-11-23T01:30:20.6241301Z [2022-11-23 01:28:38,284] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k7/ck7o7pacbm2ygkkwulncf73c3k22b5katkny3zzxesj4exarktpu.py
2022-11-23T01:30:20.6241562Z [2022-11-23 01:28:38,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 417
2022-11-23T01:30:20.6241822Z [2022-11-23 01:28:38,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6242125Z [2022-11-23 01:28:38,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6242340Z [2022-11-23 01:28:38,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6242590Z [2022-11-23 01:28:38,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6242861Z [2022-11-23 01:28:38,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6243214Z [2022-11-23 01:28:38,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6243563Z [2022-11-23 01:28:38,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6243884Z [2022-11-23 01:28:38,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6244256Z [2022-11-23 01:28:38,290] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6244348Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6244439Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6244500Z               4 BINARY_ADD
2022-11-23T01:30:20.6244594Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6244686Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6244773Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6244862Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6244933Z              14 BINARY_ADD
2022-11-23T01:30:20.6245023Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6245085Z              18 RETURN_VALUE
2022-11-23T01:30:20.6245145Z  
2022-11-23T01:30:20.6245151Z 
2022-11-23T01:30:20.6245463Z [2022-11-23 01:28:38,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6245669Z [2022-11-23 01:28:38,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6245907Z [2022-11-23 01:28:38,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6246185Z [2022-11-23 01:28:38,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6246426Z [2022-11-23 01:28:38,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6246707Z [2022-11-23 01:28:38,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6247009Z [2022-11-23 01:28:38,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6247230Z [2022-11-23 01:28:38,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6247498Z [2022-11-23 01:28:38,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6247737Z [2022-11-23 01:28:38,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6247984Z [2022-11-23 01:28:38,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6248360Z [2022-11-23 01:28:38,293] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6248635Z [2022-11-23 01:28:38,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6248871Z [2022-11-23 01:28:38,293] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6249123Z [2022-11-23 01:28:38,295] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6249369Z [2022-11-23 01:28:38,298] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6249555Z [2022-11-23 01:28:38,299] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6249703Z  __compiled_fn_426 <eval_with_key>.3375 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6249792Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6249876Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6250048Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6250154Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:30:20.6250335Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6250429Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6250435Z 
2022-11-23T01:30:20.6250758Z [2022-11-23 01:28:38,299] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6250839Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6250929Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6251015Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6251106Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6251194Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6251281Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6251355Z              12 RETURN_VALUE
2022-11-23T01:30:20.6251360Z 
2022-11-23T01:30:20.6251408Z  
2022-11-23T01:30:20.6251729Z [2022-11-23 01:28:38,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6251836Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_426)
2022-11-23T01:30:20.6251923Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6252012Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6252088Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6252174Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6252260Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6252324Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6252413Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6252518Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6252643Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6252739Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6252827Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6252921Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6253008Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6253095Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6253171Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6253257Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6253348Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6253445Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6253531Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6253596Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6253698Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6253788Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6253884Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6254014Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6254091Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6254191Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6254252Z              54 RETURN_VALUE
2022-11-23T01:30:20.6254269Z 
2022-11-23T01:30:20.6254316Z  
2022-11-23T01:30:20.6254499Z [2022-11-23 01:28:38,301] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6254567Z  - 
2022-11-23T01:30:20.6254685Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6254749Z             {
2022-11-23T01:30:20.6254888Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6255061Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6255209Z                 'obj_weakref': None
2022-11-23T01:30:20.6255433Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6255497Z             }
2022-11-23T01:30:20.6255559Z             
2022-11-23T01:30:20.6255628Z  - 
2022-11-23T01:30:20.6255754Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6255805Z             {
2022-11-23T01:30:20.6255947Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6256053Z                 'code': None,
2022-11-23T01:30:20.6256268Z                 'obj_weakref': <weakref at 0x7ff58fc1d6c0; to 'Tensor' at 0x7ff58fd09f30>
2022-11-23T01:30:20.6256658Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6256723Z             }
2022-11-23T01:30:20.6256786Z             
2022-11-23T01:30:20.6256855Z  - 
2022-11-23T01:30:20.6256967Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6257029Z             {
2022-11-23T01:30:20.6257170Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6257275Z                 'code': None,
2022-11-23T01:30:20.6257485Z                 'obj_weakref': <weakref at 0x7ff58f9d1a80; to 'Tensor' at 0x7ff59c13acf0>
2022-11-23T01:30:20.6257741Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6257803Z             }
2022-11-23T01:30:20.6257851Z             
2022-11-23T01:30:20.6257921Z  - 
2022-11-23T01:30:20.6258051Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6258113Z             {
2022-11-23T01:30:20.6258244Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6258410Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6258526Z                 'obj_weakref': None
2022-11-23T01:30:20.6258743Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6258808Z             }
2022-11-23T01:30:20.6258870Z             
2022-11-23T01:30:20.6258938Z  - 
2022-11-23T01:30:20.6259057Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6259119Z             {
2022-11-23T01:30:20.6259240Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6259458Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6259574Z                 'obj_weakref': None
2022-11-23T01:30:20.6259794Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6259856Z             }
2022-11-23T01:30:20.6259918Z             
2022-11-23T01:30:20.6259985Z  - 
2022-11-23T01:30:20.6260148Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6260209Z             {
2022-11-23T01:30:20.6260375Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6261372Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[5], 94571819095424)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:30:20.6261494Z                 'obj_weakref': None
2022-11-23T01:30:20.6261715Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6261778Z             }
2022-11-23T01:30:20.6261841Z             
2022-11-23T01:30:20.6261908Z  - 
2022-11-23T01:30:20.6262126Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6262176Z             {
2022-11-23T01:30:20.6262319Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6262603Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:30:20.6262720Z                 'obj_weakref': None
2022-11-23T01:30:20.6262941Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6263004Z             }
2022-11-23T01:30:20.6263066Z             
2022-11-23T01:30:20.6263122Z  - 
2022-11-23T01:30:20.6263303Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6263365Z             {
2022-11-23T01:30:20.6263504Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6263786Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:30:20.6263905Z                 'obj_weakref': None
2022-11-23T01:30:20.6264126Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6264176Z             }
2022-11-23T01:30:20.6264239Z             
2022-11-23T01:30:20.6264307Z  - 
2022-11-23T01:30:20.6264492Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6264554Z             {
2022-11-23T01:30:20.6264696Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6264975Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:30:20.6265079Z                 'obj_weakref': None
2022-11-23T01:30:20.6265297Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6265358Z             }
2022-11-23T01:30:20.6265424Z             
2022-11-23T01:30:20.6265492Z  - 
2022-11-23T01:30:20.6265674Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6265737Z             {
2022-11-23T01:30:20.6265863Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6266145Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:30:20.6266262Z                 'obj_weakref': None
2022-11-23T01:30:20.6266482Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6266544Z             }
2022-11-23T01:30:20.6266606Z             
2022-11-23T01:30:20.6266673Z  - 
2022-11-23T01:30:20.6266854Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:30:20.6266904Z             {
2022-11-23T01:30:20.6267044Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6267325Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:30:20.6267441Z                 'obj_weakref': None
2022-11-23T01:30:20.6267659Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6267720Z             }
2022-11-23T01:30:20.6267810Z             
2022-11-23T01:30:20.6267867Z  - 
2022-11-23T01:30:20.6268049Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:30:20.6268111Z             {
2022-11-23T01:30:20.6268250Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6268527Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94571819095424)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:30:20.6268642Z                 'obj_weakref': None
2022-11-23T01:30:20.6268860Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6268936Z             }
2022-11-23T01:30:20.6268999Z             
2022-11-23T01:30:20.6269260Z [2022-11-23 01:28:38,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 418
2022-11-23T01:30:20.6269626Z [2022-11-23 01:28:39,685] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y3/cy3v45dvkwaf26lo57qi2vyxpwi3pzhqn43de3n4xkrtbwgkp72c.py
2022-11-23T01:30:20.6269891Z [2022-11-23 01:28:39,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 418
2022-11-23T01:30:20.6270125Z [2022-11-23 01:28:39,690] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6270440Z [2022-11-23 01:28:39,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6270656Z [2022-11-23 01:28:39,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6270909Z [2022-11-23 01:28:39,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6271173Z [2022-11-23 01:28:39,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6271492Z [2022-11-23 01:28:39,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6271839Z [2022-11-23 01:28:39,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6272158Z [2022-11-23 01:28:39,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6272531Z [2022-11-23 01:28:39,691] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6272625Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6272718Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6272808Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6272894Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6272972Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6273045Z              10 BINARY_ADD
2022-11-23T01:30:20.6273134Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6273211Z              14 RETURN_VALUE
2022-11-23T01:30:20.6273271Z  
2022-11-23T01:30:20.6273277Z 
2022-11-23T01:30:20.6273587Z [2022-11-23 01:28:39,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6273865Z [2022-11-23 01:28:39,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6274113Z [2022-11-23 01:28:39,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6274396Z [2022-11-23 01:28:39,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6274719Z [2022-11-23 01:28:39,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6274954Z [2022-11-23 01:28:39,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6275223Z [2022-11-23 01:28:39,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6275460Z [2022-11-23 01:28:39,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6275704Z [2022-11-23 01:28:39,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6276084Z [2022-11-23 01:28:39,694] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6276355Z [2022-11-23 01:28:39,694] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6276589Z [2022-11-23 01:28:39,694] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6276838Z [2022-11-23 01:28:39,695] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6277071Z [2022-11-23 01:28:39,698] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6277260Z [2022-11-23 01:28:39,698] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6277393Z  __compiled_fn_427 <eval_with_key>.3381 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6277480Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6277565Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6277673Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:30:20.6277851Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6277949Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6277955Z 
2022-11-23T01:30:20.6278266Z [2022-11-23 01:28:39,699] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6278360Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6278451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6278537Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6278629Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6278715Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6278802Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6278877Z              12 RETURN_VALUE
2022-11-23T01:30:20.6278884Z 
2022-11-23T01:30:20.6278932Z  
2022-11-23T01:30:20.6279251Z [2022-11-23 01:28:39,699] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6279357Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_427)
2022-11-23T01:30:20.6279449Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6279539Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6279614Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6279701Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6279775Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6279849Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6279935Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6280037Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6280163Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6280260Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6280345Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6280439Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6280528Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6280659Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6280736Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6280822Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6280912Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6281007Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6281094Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6281157Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6281257Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6281346Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6281469Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6281555Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6281629Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6281728Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6281790Z              54 RETURN_VALUE
2022-11-23T01:30:20.6281795Z 
2022-11-23T01:30:20.6281857Z  
2022-11-23T01:30:20.6282043Z [2022-11-23 01:28:39,700] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6282112Z  - 
2022-11-23T01:30:20.6282231Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6282294Z             {
2022-11-23T01:30:20.6282434Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6282607Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6282725Z                 'obj_weakref': None
2022-11-23T01:30:20.6282949Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6283015Z             }
2022-11-23T01:30:20.6283077Z             
2022-11-23T01:30:20.6283146Z  - 
2022-11-23T01:30:20.6283270Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6283320Z             {
2022-11-23T01:30:20.6283460Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6283567Z                 'code': None,
2022-11-23T01:30:20.6283779Z                 'obj_weakref': <weakref at 0x7ff6383f6430; to 'Tensor' at 0x7ff58fd09f30>
2022-11-23T01:30:20.6284029Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6284091Z             }
2022-11-23T01:30:20.6284153Z             
2022-11-23T01:30:20.6284209Z  - 
2022-11-23T01:30:20.6284330Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6284392Z             {
2022-11-23T01:30:20.6284534Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6284640Z                 'code': None,
2022-11-23T01:30:20.6284845Z                 'obj_weakref': <weakref at 0x7ff6383f7790; to 'Tensor' at 0x7ff58fc1c4f0>
2022-11-23T01:30:20.6285098Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6285149Z             }
2022-11-23T01:30:20.6285210Z             
2022-11-23T01:30:20.6285278Z  - 
2022-11-23T01:30:20.6285410Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6285471Z             {
2022-11-23T01:30:20.6285605Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6285772Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6285877Z                 'obj_weakref': None
2022-11-23T01:30:20.6286104Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6286167Z             }
2022-11-23T01:30:20.6286229Z             
2022-11-23T01:30:20.6286297Z  - 
2022-11-23T01:30:20.6286416Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6286480Z             {
2022-11-23T01:30:20.6286603Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6286819Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6286935Z                 'obj_weakref': None
2022-11-23T01:30:20.6287182Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6287245Z             }
2022-11-23T01:30:20.6287306Z             
2022-11-23T01:30:20.6287375Z  - 
2022-11-23T01:30:20.6287539Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6287602Z             {
2022-11-23T01:30:20.6287767Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6288701Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[5], 94571819095424)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:30:20.6288850Z                 'obj_weakref': None
2022-11-23T01:30:20.6289068Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6289131Z             }
2022-11-23T01:30:20.6289192Z             
2022-11-23T01:30:20.6289260Z  - 
2022-11-23T01:30:20.6289430Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6289493Z             {
2022-11-23T01:30:20.6289633Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6289913Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:30:20.6290034Z                 'obj_weakref': None
2022-11-23T01:30:20.6290253Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6290316Z             }
2022-11-23T01:30:20.6290379Z             
2022-11-23T01:30:20.6290434Z  - 
2022-11-23T01:30:20.6290616Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6290680Z             {
2022-11-23T01:30:20.6290821Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6291102Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:30:20.6291220Z                 'obj_weakref': None
2022-11-23T01:30:20.6291438Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6291490Z             }
2022-11-23T01:30:20.6291552Z             
2022-11-23T01:30:20.6291620Z  - 
2022-11-23T01:30:20.6291802Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6291865Z             {
2022-11-23T01:30:20.6292005Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6292286Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:30:20.6292391Z                 'obj_weakref': None
2022-11-23T01:30:20.6292606Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6292668Z             }
2022-11-23T01:30:20.6292730Z             
2022-11-23T01:30:20.6292800Z  - 
2022-11-23T01:30:20.6292981Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6293044Z             {
2022-11-23T01:30:20.6293171Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6293453Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:30:20.6293570Z                 'obj_weakref': None
2022-11-23T01:30:20.6293787Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6293874Z             }
2022-11-23T01:30:20.6293938Z             
2022-11-23T01:30:20.6294006Z  - 
2022-11-23T01:30:20.6294176Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:30:20.6294239Z             {
2022-11-23T01:30:20.6294379Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6294657Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:30:20.6294775Z                 'obj_weakref': None
2022-11-23T01:30:20.6294993Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6295106Z             }
2022-11-23T01:30:20.6295167Z             
2022-11-23T01:30:20.6295223Z  - 
2022-11-23T01:30:20.6295405Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:30:20.6295468Z             {
2022-11-23T01:30:20.6295609Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6295886Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94571819095424)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:30:20.6296003Z                 'obj_weakref': None
2022-11-23T01:30:20.6296220Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6296269Z             }
2022-11-23T01:30:20.6296331Z             
2022-11-23T01:30:20.6296720Z [2022-11-23 01:28:39,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 419
2022-11-23T01:30:20.6296730Z 
2022-11-23T01:30:20.6296823Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6296892Z import torch
2022-11-23T01:30:20.6296960Z import random
2022-11-23T01:30:20.6297073Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6297192Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6297198Z 
2022-11-23T01:30:20.6297265Z aten = torch.ops.aten
2022-11-23T01:30:20.6297399Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6297490Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6297495Z 
2022-11-23T01:30:20.6297499Z 
2022-11-23T01:30:20.6297632Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6297835Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6297955Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6298060Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6298158Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6298209Z {
2022-11-23T01:30:20.6298306Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6298367Z     {
2022-11-23T01:30:20.6298443Z         #pragma omp for 
2022-11-23T01:30:20.6298524Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.6298587Z         {
2022-11-23T01:30:20.6298737Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6298857Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6298942Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6299031Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6299094Z         }
2022-11-23T01:30:20.6299187Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6299267Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:30:20.6299328Z         {
2022-11-23T01:30:20.6299398Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6299478Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6299565Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6299642Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6299699Z         }
2022-11-23T01:30:20.6299762Z     }
2022-11-23T01:30:20.6299823Z }
2022-11-23T01:30:20.6299888Z ''')
2022-11-23T01:30:20.6299893Z 
2022-11-23T01:30:20.6299909Z 
2022-11-23T01:30:20.6299985Z async_compile.wait(globals())
2022-11-23T01:30:20.6300109Z del async_compile
2022-11-23T01:30:20.6300115Z 
2022-11-23T01:30:20.6300185Z def call(args):
2022-11-23T01:30:20.6300260Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6300332Z     args.clear()
2022-11-23T01:30:20.6300525Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6300687Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6300743Z     del arg0_1
2022-11-23T01:30:20.6300808Z     del arg1_1
2022-11-23T01:30:20.6300881Z     return (buf0, )
2022-11-23T01:30:20.6300886Z 
2022-11-23T01:30:20.6300926Z 
2022-11-23T01:30:20.6301001Z if __name__ == "__main__":
2022-11-23T01:30:20.6301116Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6301238Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6301431Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6301614Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6301727Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6301732Z 
2022-11-23T01:30:20.6301736Z 
2022-11-23T01:30:20.6301827Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6301893Z import torch
2022-11-23T01:30:20.6301960Z import random
2022-11-23T01:30:20.6302071Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6302190Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6302195Z 
2022-11-23T01:30:20.6302269Z aten = torch.ops.aten
2022-11-23T01:30:20.6302390Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6302485Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6302490Z 
2022-11-23T01:30:20.6302495Z 
2022-11-23T01:30:20.6302626Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6302831Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6302953Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6303059Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6303159Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6303222Z {
2022-11-23T01:30:20.6303307Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6303370Z     {
2022-11-23T01:30:20.6303447Z         #pragma omp for 
2022-11-23T01:30:20.6303527Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.6303591Z         {
2022-11-23T01:30:20.6303722Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6303855Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6303985Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6304058Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6304140Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6304234Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6304298Z         }
2022-11-23T01:30:20.6304392Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6304475Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:30:20.6304525Z         {
2022-11-23T01:30:20.6304608Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6304691Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6304791Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6304877Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6304959Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6305038Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6305090Z         }
2022-11-23T01:30:20.6305152Z     }
2022-11-23T01:30:20.6305212Z }
2022-11-23T01:30:20.6305292Z ''')
2022-11-23T01:30:20.6305297Z 
2022-11-23T01:30:20.6305301Z 
2022-11-23T01:30:20.6305391Z async_compile.wait(globals())
2022-11-23T01:30:20.6305463Z del async_compile
2022-11-23T01:30:20.6305468Z 
2022-11-23T01:30:20.6305539Z def call(args):
2022-11-23T01:30:20.6305648Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6305707Z     args.clear()
2022-11-23T01:30:20.6305903Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6306068Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6306137Z     del arg0_1
2022-11-23T01:30:20.6306203Z     del arg1_1
2022-11-23T01:30:20.6306275Z     return (buf0, )
2022-11-23T01:30:20.6306280Z 
2022-11-23T01:30:20.6306284Z 
2022-11-23T01:30:20.6306359Z if __name__ == "__main__":
2022-11-23T01:30:20.6306462Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6306610Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6306805Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6307000Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6307118Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6307122Z 
2022-11-23T01:30:20.6307126Z 
2022-11-23T01:30:20.6307220Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6307291Z import torch
2022-11-23T01:30:20.6307361Z import random
2022-11-23T01:30:20.6307463Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6307580Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6307584Z 
2022-11-23T01:30:20.6307663Z aten = torch.ops.aten
2022-11-23T01:30:20.6307794Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6307886Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6307893Z 
2022-11-23T01:30:20.6307897Z 
2022-11-23T01:30:20.6308026Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6308227Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6308347Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6308440Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6308540Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6308601Z {
2022-11-23T01:30:20.6308698Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6308759Z     {
2022-11-23T01:30:20.6308833Z         #pragma omp for 
2022-11-23T01:30:20.6308915Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:30:20.6308965Z         {
2022-11-23T01:30:20.6309095Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6309225Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6309311Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6309403Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6309466Z         }
2022-11-23T01:30:20.6309558Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6309630Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:30:20.6309690Z         {
2022-11-23T01:30:20.6309771Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6309853Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6309933Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6310009Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6310070Z         }
2022-11-23T01:30:20.6310118Z     }
2022-11-23T01:30:20.6310175Z }
2022-11-23T01:30:20.6310252Z ''')
2022-11-23T01:30:20.6310257Z 
2022-11-23T01:30:20.6310261Z 
2022-11-23T01:30:20.6310347Z async_compile.wait(globals())
2022-11-23T01:30:20.6310419Z del async_compile
2022-11-23T01:30:20.6310424Z 
2022-11-23T01:30:20.6310492Z def call(args):
2022-11-23T01:30:20.6310565Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6310624Z     args.clear()
2022-11-23T01:30:20.6310857Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6311016Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6311080Z     del arg0_1
2022-11-23T01:30:20.6311172Z     del arg1_1
2022-11-23T01:30:20.6311245Z     return (buf0, )
2022-11-23T01:30:20.6311250Z 
2022-11-23T01:30:20.6311254Z 
2022-11-23T01:30:20.6311327Z if __name__ == "__main__":
2022-11-23T01:30:20.6311441Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6311549Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6311746Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6311976Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6312088Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6312119Z 
2022-11-23T01:30:20.6312123Z 
2022-11-23T01:30:20.6312215Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6312283Z import torch
2022-11-23T01:30:20.6312350Z import random
2022-11-23T01:30:20.6312462Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6312570Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6312575Z 
2022-11-23T01:30:20.6312649Z aten = torch.ops.aten
2022-11-23T01:30:20.6312779Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6312866Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6312871Z 
2022-11-23T01:30:20.6312875Z 
2022-11-23T01:30:20.6313004Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6313207Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6313323Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6313429Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6313519Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6313578Z {
2022-11-23T01:30:20.6313676Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6313736Z     {
2022-11-23T01:30:20.6313884Z         #pragma omp for 
2022-11-23T01:30:20.6313969Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:30:20.6314032Z         {
2022-11-23T01:30:20.6314153Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6314280Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6314407Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6314491Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6314570Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6314659Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6314721Z         }
2022-11-23T01:30:20.6314801Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6314889Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:30:20.6314949Z         {
2022-11-23T01:30:20.6315030Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6315110Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6315206Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6315294Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6315363Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6315441Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6315503Z         }
2022-11-23T01:30:20.6315562Z     }
2022-11-23T01:30:20.6315626Z }
2022-11-23T01:30:20.6315709Z ''')
2022-11-23T01:30:20.6315713Z 
2022-11-23T01:30:20.6315717Z 
2022-11-23T01:30:20.6315803Z async_compile.wait(globals())
2022-11-23T01:30:20.6315863Z del async_compile
2022-11-23T01:30:20.6315879Z 
2022-11-23T01:30:20.6315936Z def call(args):
2022-11-23T01:30:20.6316007Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6316079Z     args.clear()
2022-11-23T01:30:20.6316314Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6316475Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6316541Z     del arg0_1
2022-11-23T01:30:20.6316605Z     del arg1_1
2022-11-23T01:30:20.6316664Z     return (buf0, )
2022-11-23T01:30:20.6316704Z 
2022-11-23T01:30:20.6316710Z 
2022-11-23T01:30:20.6316784Z if __name__ == "__main__":
2022-11-23T01:30:20.6316893Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6317013Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6317209Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6317439Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6317551Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6317555Z 
2022-11-23T01:30:20.6317951Z [2022-11-23 01:28:39,717] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwhjktew4zvwq2ee2wpfjrr2f5nxkzjwzitedo5d6gyyktlxvgiz.py
2022-11-23T01:30:20.6318203Z [2022-11-23 01:28:39,717] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 419
2022-11-23T01:30:20.6318438Z [2022-11-23 01:28:39,721] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6318750Z [2022-11-23 01:28:39,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6318961Z [2022-11-23 01:28:39,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6319215Z [2022-11-23 01:28:39,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6319488Z [2022-11-23 01:28:39,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6319808Z [2022-11-23 01:28:39,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6320154Z [2022-11-23 01:28:39,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6320475Z [2022-11-23 01:28:39,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6320848Z [2022-11-23 01:28:39,722] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6320937Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6321016Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6321087Z               4 BINARY_ADD
2022-11-23T01:30:20.6321180Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6321272Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6321355Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6321441Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6321511Z              14 BINARY_ADD
2022-11-23T01:30:20.6321589Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6321663Z              18 RETURN_VALUE
2022-11-23T01:30:20.6321723Z  
2022-11-23T01:30:20.6321728Z 
2022-11-23T01:30:20.6322038Z [2022-11-23 01:28:39,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6322249Z [2022-11-23 01:28:39,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6322485Z [2022-11-23 01:28:39,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6322760Z [2022-11-23 01:28:39,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6323006Z [2022-11-23 01:28:39,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6323313Z [2022-11-23 01:28:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6323615Z [2022-11-23 01:28:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6323850Z [2022-11-23 01:28:39,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6324115Z [2022-11-23 01:28:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6324351Z [2022-11-23 01:28:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6324631Z [2022-11-23 01:28:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6325006Z [2022-11-23 01:28:39,725] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6325251Z [2022-11-23 01:28:39,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6325481Z [2022-11-23 01:28:39,726] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6325732Z [2022-11-23 01:28:39,727] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6325967Z [2022-11-23 01:28:39,730] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6326157Z [2022-11-23 01:28:39,731] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6326291Z  __compiled_fn_428 <eval_with_key>.3387 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6326378Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6326462Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6326634Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6326737Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:30:20.6326915Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6326998Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6327003Z 
2022-11-23T01:30:20.6327329Z [2022-11-23 01:28:39,731] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6327421Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6327516Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6327601Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6327690Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6327774Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6327858Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6327921Z              12 RETURN_VALUE
2022-11-23T01:30:20.6327926Z 
2022-11-23T01:30:20.6327985Z  
2022-11-23T01:30:20.6328309Z [2022-11-23 01:28:39,731] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6328416Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_428)
2022-11-23T01:30:20.6328508Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6328594Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6328671Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6328748Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6328832Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6328905Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6328995Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6329095Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6329218Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6329312Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6329414Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6329508Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6329607Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6329694Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6329771Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6329855Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6329945Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6330040Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6330115Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6330215Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6330315Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6330404Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6330500Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6330587Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6330660Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6330746Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6330819Z              54 RETURN_VALUE
2022-11-23T01:30:20.6330824Z 
2022-11-23T01:30:20.6330883Z  
2022-11-23T01:30:20.6331069Z [2022-11-23 01:28:39,733] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6331138Z  - 
2022-11-23T01:30:20.6331255Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6331318Z             {
2022-11-23T01:30:20.6331446Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6331629Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6331751Z                 'obj_weakref': None
2022-11-23T01:30:20.6331975Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6332041Z             }
2022-11-23T01:30:20.6332102Z             
2022-11-23T01:30:20.6332169Z  - 
2022-11-23T01:30:20.6332281Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6332342Z             {
2022-11-23T01:30:20.6332483Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6332592Z                 'code': None,
2022-11-23T01:30:20.6332802Z                 'obj_weakref': <weakref at 0x7ff6383f7240; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6333054Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6333115Z             }
2022-11-23T01:30:20.6333165Z             
2022-11-23T01:30:20.6333233Z  - 
2022-11-23T01:30:20.6333357Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6333419Z             {
2022-11-23T01:30:20.6333560Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6333664Z                 'code': None,
2022-11-23T01:30:20.6333873Z                 'obj_weakref': <weakref at 0x7ff5a8c2cc70; to 'Tensor' at 0x7ff6383f62f0>
2022-11-23T01:30:20.6334114Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6334175Z             }
2022-11-23T01:30:20.6334236Z             
2022-11-23T01:30:20.6334305Z  - 
2022-11-23T01:30:20.6334433Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6334494Z             {
2022-11-23T01:30:20.6334625Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6334780Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6334895Z                 'obj_weakref': None
2022-11-23T01:30:20.6335121Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6335184Z             }
2022-11-23T01:30:20.6335246Z             
2022-11-23T01:30:20.6335316Z  - 
2022-11-23T01:30:20.6335434Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6335486Z             {
2022-11-23T01:30:20.6335623Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6335863Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6335984Z                 'obj_weakref': None
2022-11-23T01:30:20.6336200Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6336261Z             }
2022-11-23T01:30:20.6336321Z             
2022-11-23T01:30:20.6336376Z  - 
2022-11-23T01:30:20.6336675Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6336737Z             {
2022-11-23T01:30:20.6336903Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6337886Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[5], 94571819095424)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:30:20.6338008Z                 'obj_weakref': None
2022-11-23T01:30:20.6338229Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6338292Z             }
2022-11-23T01:30:20.6338354Z             
2022-11-23T01:30:20.6338409Z  - 
2022-11-23T01:30:20.6338594Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6338658Z             {
2022-11-23T01:30:20.6338800Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6339083Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:30:20.6339202Z                 'obj_weakref': None
2022-11-23T01:30:20.6339423Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6339487Z             }
2022-11-23T01:30:20.6339536Z             
2022-11-23T01:30:20.6339605Z  - 
2022-11-23T01:30:20.6339791Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6339854Z             {
2022-11-23T01:30:20.6339996Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6340278Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:30:20.6340401Z                 'obj_weakref': None
2022-11-23T01:30:20.6340608Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6340671Z             }
2022-11-23T01:30:20.6340734Z             
2022-11-23T01:30:20.6340802Z  - 
2022-11-23T01:30:20.6340987Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6341053Z             {
2022-11-23T01:30:20.6341197Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6341463Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:30:20.6341581Z                 'obj_weakref': None
2022-11-23T01:30:20.6341800Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6341863Z             }
2022-11-23T01:30:20.6341927Z             
2022-11-23T01:30:20.6341998Z  - 
2022-11-23T01:30:20.6342181Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6342231Z             {
2022-11-23T01:30:20.6342372Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6342689Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:30:20.6342807Z                 'obj_weakref': None
2022-11-23T01:30:20.6343023Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6343085Z             }
2022-11-23T01:30:20.6343148Z             
2022-11-23T01:30:20.6343205Z  - 
2022-11-23T01:30:20.6343386Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:30:20.6343449Z             {
2022-11-23T01:30:20.6343591Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6343869Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:30:20.6344013Z                 'obj_weakref': None
2022-11-23T01:30:20.6344235Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6344298Z             }
2022-11-23T01:30:20.6344350Z             
2022-11-23T01:30:20.6344418Z  - 
2022-11-23T01:30:20.6344603Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:30:20.6344668Z             {
2022-11-23T01:30:20.6344809Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6345089Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94571819095424)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:30:20.6345206Z                 'obj_weakref': None
2022-11-23T01:30:20.6345414Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6345481Z             }
2022-11-23T01:30:20.6345543Z             
2022-11-23T01:30:20.6345806Z [2022-11-23 01:28:39,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 420
2022-11-23T01:30:20.6346174Z [2022-11-23 01:28:39,752] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5w/c5wm433znduqfxslbeushucson3meq75nubtvbffui5q4apxh7qf.py
2022-11-23T01:30:20.6346439Z [2022-11-23 01:28:39,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 420
2022-11-23T01:30:20.6346672Z [2022-11-23 01:28:39,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6346982Z [2022-11-23 01:28:39,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6347201Z [2022-11-23 01:28:39,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6347441Z [2022-11-23 01:28:39,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6347716Z [2022-11-23 01:28:39,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6348038Z [2022-11-23 01:28:39,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6348384Z [2022-11-23 01:28:39,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6348705Z [2022-11-23 01:28:39,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6349077Z [2022-11-23 01:28:39,757] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6349170Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6349261Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6349351Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6349425Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6349541Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6349615Z              10 BINARY_ADD
2022-11-23T01:30:20.6349702Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6349774Z              14 RETURN_VALUE
2022-11-23T01:30:20.6349833Z  
2022-11-23T01:30:20.6349839Z 
2022-11-23T01:30:20.6350155Z [2022-11-23 01:28:39,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6350362Z [2022-11-23 01:28:39,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6350589Z [2022-11-23 01:28:39,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6350897Z [2022-11-23 01:28:39,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6351198Z [2022-11-23 01:28:39,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6351434Z [2022-11-23 01:28:39,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6351701Z [2022-11-23 01:28:39,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6351938Z [2022-11-23 01:28:39,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6352181Z [2022-11-23 01:28:39,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6352558Z [2022-11-23 01:28:39,759] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6352803Z [2022-11-23 01:28:39,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6353027Z [2022-11-23 01:28:39,759] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6353282Z [2022-11-23 01:28:39,761] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6353525Z [2022-11-23 01:28:39,763] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6353713Z [2022-11-23 01:28:39,763] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6353917Z  __compiled_fn_429 <eval_with_key>.3393 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6354008Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6354093Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6354195Z call_method, view, view, (ex_0_, [10, 5, 20]), {}
2022-11-23T01:30:20.6354362Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6354454Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6354460Z 
2022-11-23T01:30:20.6354783Z [2022-11-23 01:28:39,764] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6354875Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6354966Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6355053Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6355144Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6355233Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6355308Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6355382Z              12 RETURN_VALUE
2022-11-23T01:30:20.6355387Z 
2022-11-23T01:30:20.6355449Z  
2022-11-23T01:30:20.6355768Z [2022-11-23 01:28:39,764] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6355874Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_429)
2022-11-23T01:30:20.6355964Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6356098Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6356176Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6356253Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6356339Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6356413Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6356499Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6356602Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6356735Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6356856Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6356931Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6357027Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6357126Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6357214Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6357298Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6357383Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6357474Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6357559Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6357646Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6357720Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6357817Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6357905Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6357999Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6358085Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6358160Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6358247Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6358319Z              54 RETURN_VALUE
2022-11-23T01:30:20.6358324Z 
2022-11-23T01:30:20.6358387Z  
2022-11-23T01:30:20.6358569Z [2022-11-23 01:28:39,765] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6358637Z  - 
2022-11-23T01:30:20.6358755Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6358816Z             {
2022-11-23T01:30:20.6358945Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6359127Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6359246Z                 'obj_weakref': None
2022-11-23T01:30:20.6359468Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6359532Z             }
2022-11-23T01:30:20.6359593Z             
2022-11-23T01:30:20.6359658Z  - 
2022-11-23T01:30:20.6359770Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6359831Z             {
2022-11-23T01:30:20.6359970Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6360075Z                 'code': None,
2022-11-23T01:30:20.6360287Z                 'obj_weakref': <weakref at 0x7ff58ffb9030; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6360538Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6360599Z             }
2022-11-23T01:30:20.6360650Z             
2022-11-23T01:30:20.6360716Z  - 
2022-11-23T01:30:20.6360837Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6360900Z             {
2022-11-23T01:30:20.6361038Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6361143Z                 'code': None,
2022-11-23T01:30:20.6361352Z                 'obj_weakref': <weakref at 0x7ff57ee81ee0; to 'Tensor' at 0x7ff57f9441d0>
2022-11-23T01:30:20.6361590Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6361649Z             }
2022-11-23T01:30:20.6361710Z             
2022-11-23T01:30:20.6361777Z  - 
2022-11-23T01:30:20.6361932Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6361994Z             {
2022-11-23T01:30:20.6362125Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6362279Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6362395Z                 'obj_weakref': None
2022-11-23T01:30:20.6362621Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6362683Z             }
2022-11-23T01:30:20.6362745Z             
2022-11-23T01:30:20.6362811Z  - 
2022-11-23T01:30:20.6362930Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6363007Z             {
2022-11-23T01:30:20.6363139Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6363353Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6363469Z                 'obj_weakref': None
2022-11-23T01:30:20.6363691Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6363753Z             }
2022-11-23T01:30:20.6363814Z             
2022-11-23T01:30:20.6363869Z  - 
2022-11-23T01:30:20.6364042Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6364103Z             {
2022-11-23T01:30:20.6364264Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6364911Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:30:20.6365030Z                 'obj_weakref': None
2022-11-23T01:30:20.6365249Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6365311Z             }
2022-11-23T01:30:20.6365360Z             
2022-11-23T01:30:20.6365428Z  - 
2022-11-23T01:30:20.6365605Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6365665Z             {
2022-11-23T01:30:20.6365806Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6366088Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.6366203Z                 'obj_weakref': None
2022-11-23T01:30:20.6366421Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6366473Z             }
2022-11-23T01:30:20.6366533Z             
2022-11-23T01:30:20.6366600Z  - 
2022-11-23T01:30:20.6366780Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6366842Z             {
2022-11-23T01:30:20.6366983Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6367263Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:30:20.6367369Z                 'obj_weakref': None
2022-11-23T01:30:20.6367585Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6367646Z             }
2022-11-23T01:30:20.6367709Z             
2022-11-23T01:30:20.6367776Z  - 
2022-11-23T01:30:20.6367960Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6368024Z             {
2022-11-23T01:30:20.6368153Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6368432Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:30:20.6368548Z                 'obj_weakref': None
2022-11-23T01:30:20.6368805Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6368868Z             }
2022-11-23T01:30:20.6368928Z             
2022-11-23T01:30:20.6369188Z [2022-11-23 01:28:39,770] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 421
2022-11-23T01:30:20.6369542Z [2022-11-23 01:28:41,171] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pv/cpvo3mqvayxhsyt4xqt523iopudgxjac4fhrls7gk24rjn53kv6m.py
2022-11-23T01:30:20.6369804Z [2022-11-23 01:28:41,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 421
2022-11-23T01:30:20.6370066Z [2022-11-23 01:28:41,175] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6370376Z [2022-11-23 01:28:41,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6370591Z [2022-11-23 01:28:41,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6370840Z [2022-11-23 01:28:41,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6371116Z [2022-11-23 01:28:41,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6371434Z [2022-11-23 01:28:41,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6371775Z [2022-11-23 01:28:41,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6372099Z [2022-11-23 01:28:41,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6372474Z [2022-11-23 01:28:41,176] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6372555Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6372645Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6372717Z               4 BINARY_ADD
2022-11-23T01:30:20.6372808Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6372898Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6372981Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6373068Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6373130Z              14 BINARY_ADD
2022-11-23T01:30:20.6373217Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6373290Z              18 RETURN_VALUE
2022-11-23T01:30:20.6373349Z  
2022-11-23T01:30:20.6373355Z 
2022-11-23T01:30:20.6373667Z [2022-11-23 01:28:41,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6373876Z [2022-11-23 01:28:41,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6374113Z [2022-11-23 01:28:41,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6374396Z [2022-11-23 01:28:41,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6374624Z [2022-11-23 01:28:41,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6374903Z [2022-11-23 01:28:41,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6375207Z [2022-11-23 01:28:41,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6375440Z [2022-11-23 01:28:41,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6375735Z [2022-11-23 01:28:41,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6375976Z [2022-11-23 01:28:41,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6376215Z [2022-11-23 01:28:41,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6376712Z [2022-11-23 01:28:41,179] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6377007Z [2022-11-23 01:28:41,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6377237Z [2022-11-23 01:28:41,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6377478Z [2022-11-23 01:28:41,181] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6377726Z [2022-11-23 01:28:41,185] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6377913Z [2022-11-23 01:28:41,185] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6378045Z  __compiled_fn_430 <eval_with_key>.3399 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6378133Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6378219Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6378390Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6378489Z call_method, view, view, (add, [10, 5, 20]), {}
2022-11-23T01:30:20.6378656Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6378749Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6378755Z 
2022-11-23T01:30:20.6379078Z [2022-11-23 01:28:41,185] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6379170Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6379259Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6379345Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6379437Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6379521Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6379597Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6379670Z              12 RETURN_VALUE
2022-11-23T01:30:20.6379675Z 
2022-11-23T01:30:20.6379736Z  
2022-11-23T01:30:20.6380056Z [2022-11-23 01:28:41,185] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6380166Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_430)
2022-11-23T01:30:20.6380254Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6380343Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6380418Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6380494Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6380578Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6380652Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6380737Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6380838Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6380965Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6381061Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6381137Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6381230Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6381329Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6381415Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6381488Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6381609Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6381700Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6381785Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6381871Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6381944Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6382042Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6382130Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6382225Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6382340Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6382403Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6382502Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6382577Z              54 RETURN_VALUE
2022-11-23T01:30:20.6382582Z 
2022-11-23T01:30:20.6382645Z  
2022-11-23T01:30:20.6382832Z [2022-11-23 01:28:41,187] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6382903Z  - 
2022-11-23T01:30:20.6383023Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6383076Z             {
2022-11-23T01:30:20.6383218Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6383405Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6383524Z                 'obj_weakref': None
2022-11-23T01:30:20.6383750Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6383815Z             }
2022-11-23T01:30:20.6383880Z             
2022-11-23T01:30:20.6383939Z  - 
2022-11-23T01:30:20.6384064Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6384127Z             {
2022-11-23T01:30:20.6384269Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6384376Z                 'code': None,
2022-11-23T01:30:20.6384595Z                 'obj_weakref': <weakref at 0x7ff58ffb9e90; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6384848Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6384911Z             }
2022-11-23T01:30:20.6384961Z             
2022-11-23T01:30:20.6385030Z  - 
2022-11-23T01:30:20.6385158Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6385222Z             {
2022-11-23T01:30:20.6385363Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6385471Z                 'code': None,
2022-11-23T01:30:20.6385672Z                 'obj_weakref': <weakref at 0x7ff57ff14bd0; to 'Tensor' at 0x7ff57f9441d0>
2022-11-23T01:30:20.6385926Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6385990Z             }
2022-11-23T01:30:20.6386053Z             
2022-11-23T01:30:20.6386123Z  - 
2022-11-23T01:30:20.6386254Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6386318Z             {
2022-11-23T01:30:20.6386441Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6386611Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6386728Z                 'obj_weakref': None
2022-11-23T01:30:20.6386959Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6387024Z             }
2022-11-23T01:30:20.6387088Z             
2022-11-23T01:30:20.6387157Z  - 
2022-11-23T01:30:20.6387266Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6387329Z             {
2022-11-23T01:30:20.6387463Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6387683Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6387800Z                 'obj_weakref': None
2022-11-23T01:30:20.6388020Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6388111Z             }
2022-11-23T01:30:20.6388173Z             
2022-11-23T01:30:20.6388229Z  - 
2022-11-23T01:30:20.6388404Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6388465Z             {
2022-11-23T01:30:20.6388632Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6389271Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:30:20.6389419Z                 'obj_weakref': None
2022-11-23T01:30:20.6389637Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6389697Z             }
2022-11-23T01:30:20.6389750Z             
2022-11-23T01:30:20.6389822Z  - 
2022-11-23T01:30:20.6390004Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6390066Z             {
2022-11-23T01:30:20.6390205Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6390483Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.6390603Z                 'obj_weakref': None
2022-11-23T01:30:20.6390809Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6390873Z             }
2022-11-23T01:30:20.6390934Z             
2022-11-23T01:30:20.6391000Z  - 
2022-11-23T01:30:20.6391182Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6391241Z             {
2022-11-23T01:30:20.6391381Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6391651Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:30:20.6391767Z                 'obj_weakref': None
2022-11-23T01:30:20.6391981Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6392044Z             }
2022-11-23T01:30:20.6392105Z             
2022-11-23T01:30:20.6392172Z  - 
2022-11-23T01:30:20.6392357Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6392407Z             {
2022-11-23T01:30:20.6392547Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6392832Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:30:20.6392950Z                 'obj_weakref': None
2022-11-23T01:30:20.6393170Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6393231Z             }
2022-11-23T01:30:20.6393292Z             
2022-11-23T01:30:20.6393551Z [2022-11-23 01:28:41,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 422
2022-11-23T01:30:20.6394005Z [2022-11-23 01:28:42,665] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ow/cowijhomcnpr3wkc7oseyftyiqvgbm2fbgpmztmvqz7zpc5cw6gc.py
2022-11-23T01:30:20.6394272Z [2022-11-23 01:28:42,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 422
2022-11-23T01:30:20.6394506Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6394818Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6395037Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6395348Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6395625Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6395940Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6396284Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6396630Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6396995Z [2022-11-23 01:28:42,670] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6397087Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6397183Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6397275Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6397361Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6397449Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6397522Z              10 BINARY_ADD
2022-11-23T01:30:20.6397611Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6397674Z              14 RETURN_VALUE
2022-11-23T01:30:20.6397734Z  
2022-11-23T01:30:20.6397742Z 
2022-11-23T01:30:20.6398054Z [2022-11-23 01:28:42,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6398266Z [2022-11-23 01:28:42,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6398512Z [2022-11-23 01:28:42,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6398791Z [2022-11-23 01:28:42,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6399093Z [2022-11-23 01:28:42,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6399327Z [2022-11-23 01:28:42,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6399596Z [2022-11-23 01:28:42,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6399825Z [2022-11-23 01:28:42,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6400071Z [2022-11-23 01:28:42,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6400449Z [2022-11-23 01:28:42,673] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6400692Z [2022-11-23 01:28:42,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6400923Z [2022-11-23 01:28:42,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6401175Z [2022-11-23 01:28:42,675] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6401418Z [2022-11-23 01:28:42,677] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6401607Z [2022-11-23 01:28:42,678] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6401740Z  __compiled_fn_431 <eval_with_key>.3405 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6401816Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6401933Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6402030Z call_method, view, view, (ex_0_, [10]), {}
2022-11-23T01:30:20.6402207Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6402298Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6402304Z 
2022-11-23T01:30:20.6402626Z [2022-11-23 01:28:42,678] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6402717Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6402806Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6402905Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6402996Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6403082Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6403168Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6403241Z              12 RETURN_VALUE
2022-11-23T01:30:20.6403247Z 
2022-11-23T01:30:20.6403309Z  
2022-11-23T01:30:20.6403628Z [2022-11-23 01:28:42,678] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6403724Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_431)
2022-11-23T01:30:20.6403813Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6403899Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6403974Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6404060Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6404145Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6404222Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6404308Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6404399Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6404524Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6404620Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6404708Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6404801Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6404898Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6404986Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6405049Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6405135Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6405225Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6405321Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6405409Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6405482Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6405582Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6405660Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6405756Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6405841Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6405915Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6406013Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6406086Z              54 RETURN_VALUE
2022-11-23T01:30:20.6406091Z 
2022-11-23T01:30:20.6406150Z  
2022-11-23T01:30:20.6406333Z [2022-11-23 01:28:42,679] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6406389Z  - 
2022-11-23T01:30:20.6406506Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6406569Z             {
2022-11-23T01:30:20.6406712Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6406897Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6407014Z                 'obj_weakref': None
2022-11-23T01:30:20.6407236Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6407317Z             }
2022-11-23T01:30:20.6407381Z             
2022-11-23T01:30:20.6407448Z  - 
2022-11-23T01:30:20.6407570Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6407632Z             {
2022-11-23T01:30:20.6407773Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6407866Z                 'code': None,
2022-11-23T01:30:20.6408076Z                 'obj_weakref': <weakref at 0x7ff58f9e1a30; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6408325Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6408388Z             }
2022-11-23T01:30:20.6408478Z             
2022-11-23T01:30:20.6408548Z  - 
2022-11-23T01:30:20.6408669Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6408718Z             {
2022-11-23T01:30:20.6408858Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6408962Z                 'code': None,
2022-11-23T01:30:20.6409173Z                 'obj_weakref': <weakref at 0x7ff58f9e2250; to 'Tensor' at 0x7ff58ffb9cb0>
2022-11-23T01:30:20.6409421Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6409483Z             }
2022-11-23T01:30:20.6409545Z             
2022-11-23T01:30:20.6409613Z  - 
2022-11-23T01:30:20.6409729Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6409789Z             {
2022-11-23T01:30:20.6409922Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6410090Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6410205Z                 'obj_weakref': None
2022-11-23T01:30:20.6410434Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6410497Z             }
2022-11-23T01:30:20.6410546Z             
2022-11-23T01:30:20.6410614Z  - 
2022-11-23T01:30:20.6410731Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6410797Z             {
2022-11-23T01:30:20.6410930Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6411143Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6411259Z                 'obj_weakref': None
2022-11-23T01:30:20.6411463Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6411524Z             }
2022-11-23T01:30:20.6411584Z             
2022-11-23T01:30:20.6411651Z  - 
2022-11-23T01:30:20.6411825Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6411888Z             {
2022-11-23T01:30:20.6412042Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6412489Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:30:20.6412608Z                 'obj_weakref': None
2022-11-23T01:30:20.6412825Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6412888Z             }
2022-11-23T01:30:20.6412948Z             
2022-11-23T01:30:20.6413015Z  - 
2022-11-23T01:30:20.6413197Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6413248Z             {
2022-11-23T01:30:20.6413388Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6413669Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.6413789Z                 'obj_weakref': None
2022-11-23T01:30:20.6414007Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6414070Z             }
2022-11-23T01:30:20.6414132Z             
2022-11-23T01:30:20.6414436Z [2022-11-23 01:28:42,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 423
2022-11-23T01:30:20.6414443Z 
2022-11-23T01:30:20.6414525Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6414591Z import torch
2022-11-23T01:30:20.6414658Z import random
2022-11-23T01:30:20.6414772Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6414892Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6414897Z 
2022-11-23T01:30:20.6414973Z aten = torch.ops.aten
2022-11-23T01:30:20.6415109Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6415217Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6415234Z 
2022-11-23T01:30:20.6415239Z 
2022-11-23T01:30:20.6415359Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6415563Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6415685Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6415789Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6415889Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6415950Z {
2022-11-23T01:30:20.6416048Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6416097Z     {
2022-11-23T01:30:20.6416171Z         #pragma omp for 
2022-11-23T01:30:20.6416252Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:30:20.6416313Z         {
2022-11-23T01:30:20.6416615Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6416747Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6416835Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6416912Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6416976Z         }
2022-11-23T01:30:20.6417068Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6417153Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:30:20.6417216Z         {
2022-11-23T01:30:20.6417298Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6417377Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6417446Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6417524Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6417585Z         }
2022-11-23T01:30:20.6417645Z     }
2022-11-23T01:30:20.6417703Z }
2022-11-23T01:30:20.6417784Z ''')
2022-11-23T01:30:20.6417789Z 
2022-11-23T01:30:20.6417794Z 
2022-11-23T01:30:20.6417885Z async_compile.wait(globals())
2022-11-23T01:30:20.6417944Z del async_compile
2022-11-23T01:30:20.6417949Z 
2022-11-23T01:30:20.6418021Z def call(args):
2022-11-23T01:30:20.6418096Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6418167Z     args.clear()
2022-11-23T01:30:20.6418403Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6418567Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6418634Z     del arg0_1
2022-11-23T01:30:20.6418698Z     del arg1_1
2022-11-23T01:30:20.6418756Z     return (buf0, )
2022-11-23T01:30:20.6418761Z 
2022-11-23T01:30:20.6418765Z 
2022-11-23T01:30:20.6418839Z if __name__ == "__main__":
2022-11-23T01:30:20.6418951Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6419071Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6419288Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6419519Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6419634Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6419639Z 
2022-11-23T01:30:20.6419643Z 
2022-11-23T01:30:20.6419737Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6419793Z import torch
2022-11-23T01:30:20.6419862Z import random
2022-11-23T01:30:20.6420022Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6420141Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6420146Z 
2022-11-23T01:30:20.6420223Z aten = torch.ops.aten
2022-11-23T01:30:20.6420354Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6420443Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6420448Z 
2022-11-23T01:30:20.6420452Z 
2022-11-23T01:30:20.6420585Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6420775Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6420893Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6421042Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6421142Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6421204Z {
2022-11-23T01:30:20.6421301Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6421363Z     {
2022-11-23T01:30:20.6421429Z         #pragma omp for 
2022-11-23T01:30:20.6421515Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:30:20.6421579Z         {
2022-11-23T01:30:20.6421714Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6421846Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6421975Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6422061Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6422143Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6422221Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6422289Z         }
2022-11-23T01:30:20.6422384Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6422471Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:30:20.6422535Z         {
2022-11-23T01:30:20.6422618Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6422687Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6422794Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6422879Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6422961Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6423043Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6423105Z         }
2022-11-23T01:30:20.6423167Z     }
2022-11-23T01:30:20.6423214Z }
2022-11-23T01:30:20.6423296Z ''')
2022-11-23T01:30:20.6423302Z 
2022-11-23T01:30:20.6423306Z 
2022-11-23T01:30:20.6423397Z async_compile.wait(globals())
2022-11-23T01:30:20.6423472Z del async_compile
2022-11-23T01:30:20.6423477Z 
2022-11-23T01:30:20.6423548Z def call(args):
2022-11-23T01:30:20.6423627Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6423699Z     args.clear()
2022-11-23T01:30:20.6423930Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6424081Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6424152Z     del arg0_1
2022-11-23T01:30:20.6424220Z     del arg1_1
2022-11-23T01:30:20.6424293Z     return (buf0, )
2022-11-23T01:30:20.6424298Z 
2022-11-23T01:30:20.6424302Z 
2022-11-23T01:30:20.6424377Z if __name__ == "__main__":
2022-11-23T01:30:20.6424491Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6424614Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6424818Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6425050Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6425167Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6425172Z 
2022-11-23T01:30:20.6425176Z 
2022-11-23T01:30:20.6425271Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6425341Z import torch
2022-11-23T01:30:20.6425411Z import random
2022-11-23T01:30:20.6425525Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6425675Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6425680Z 
2022-11-23T01:30:20.6425755Z aten = torch.ops.aten
2022-11-23T01:30:20.6425876Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6425967Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6425972Z 
2022-11-23T01:30:20.6425976Z 
2022-11-23T01:30:20.6426109Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6426314Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6426434Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6426570Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6426667Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6426714Z {
2022-11-23T01:30:20.6426809Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6426869Z     {
2022-11-23T01:30:20.6426944Z         #pragma omp for 
2022-11-23T01:30:20.6427026Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.6427087Z         {
2022-11-23T01:30:20.6427220Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6427348Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6427418Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6427508Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6427576Z         }
2022-11-23T01:30:20.6427668Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6427751Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.6427812Z         {
2022-11-23T01:30:20.6427884Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6427964Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6428044Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6428123Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6428184Z         }
2022-11-23T01:30:20.6428245Z     }
2022-11-23T01:30:20.6428304Z }
2022-11-23T01:30:20.6428371Z ''')
2022-11-23T01:30:20.6428376Z 
2022-11-23T01:30:20.6428392Z 
2022-11-23T01:30:20.6428468Z async_compile.wait(globals())
2022-11-23T01:30:20.6428539Z del async_compile
2022-11-23T01:30:20.6428544Z 
2022-11-23T01:30:20.6428613Z def call(args):
2022-11-23T01:30:20.6428685Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6428754Z     args.clear()
2022-11-23T01:30:20.6428961Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6429123Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6429179Z     del arg0_1
2022-11-23T01:30:20.6429245Z     del arg1_1
2022-11-23T01:30:20.6429315Z     return (buf0, )
2022-11-23T01:30:20.6429320Z 
2022-11-23T01:30:20.6429324Z 
2022-11-23T01:30:20.6429398Z if __name__ == "__main__":
2022-11-23T01:30:20.6429510Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6429630Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6429827Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6430020Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6430135Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6430140Z 
2022-11-23T01:30:20.6430144Z 
2022-11-23T01:30:20.6430235Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6430304Z import torch
2022-11-23T01:30:20.6430372Z import random
2022-11-23T01:30:20.6430484Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6430600Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6430607Z 
2022-11-23T01:30:20.6430682Z aten = torch.ops.aten
2022-11-23T01:30:20.6430803Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6430893Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6430897Z 
2022-11-23T01:30:20.6430902Z 
2022-11-23T01:30:20.6431067Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6431273Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6431391Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6431493Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6431590Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6431651Z {
2022-11-23T01:30:20.6431735Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6431797Z     {
2022-11-23T01:30:20.6431872Z         #pragma omp for 
2022-11-23T01:30:20.6431954Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.6432043Z         {
2022-11-23T01:30:20.6432174Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6432305Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6432430Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6432504Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6432591Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6432680Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6432740Z         }
2022-11-23T01:30:20.6432832Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6432916Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.6432977Z         {
2022-11-23T01:30:20.6433048Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6433128Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6433226Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6433309Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6433388Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6433465Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6433514Z         }
2022-11-23T01:30:20.6433574Z     }
2022-11-23T01:30:20.6433632Z }
2022-11-23T01:30:20.6433709Z ''')
2022-11-23T01:30:20.6433715Z 
2022-11-23T01:30:20.6433719Z 
2022-11-23T01:30:20.6433892Z async_compile.wait(globals())
2022-11-23T01:30:20.6433968Z del async_compile
2022-11-23T01:30:20.6433973Z 
2022-11-23T01:30:20.6434043Z def call(args):
2022-11-23T01:30:20.6434117Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6434176Z     args.clear()
2022-11-23T01:30:20.6434387Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6434548Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6434616Z     del arg0_1
2022-11-23T01:30:20.6434681Z     del arg1_1
2022-11-23T01:30:20.6434751Z     return (buf0, )
2022-11-23T01:30:20.6434758Z 
2022-11-23T01:30:20.6434762Z 
2022-11-23T01:30:20.6434837Z if __name__ == "__main__":
2022-11-23T01:30:20.6434939Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6435061Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6435261Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6435468Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6435582Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6435586Z 
2022-11-23T01:30:20.6435951Z [2022-11-23 01:28:44,136] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y4/cy4s5swkb4out6x5m5g2gcuapxwis7kfowm7vj7wh6uw7qjhtn5z.py
2022-11-23T01:30:20.6436217Z [2022-11-23 01:28:44,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 423
2022-11-23T01:30:20.6436453Z [2022-11-23 01:28:44,141] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6436768Z [2022-11-23 01:28:44,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6436972Z [2022-11-23 01:28:44,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6437260Z [2022-11-23 01:28:44,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6437537Z [2022-11-23 01:28:44,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6437858Z [2022-11-23 01:28:44,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6438199Z [2022-11-23 01:28:44,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6438553Z [2022-11-23 01:28:44,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6438928Z [2022-11-23 01:28:44,142] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6439021Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6439114Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6439186Z               4 BINARY_ADD
2022-11-23T01:30:20.6439265Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6439356Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6439444Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6439531Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6439603Z              14 BINARY_ADD
2022-11-23T01:30:20.6439689Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6439766Z              18 RETURN_VALUE
2022-11-23T01:30:20.6439815Z  
2022-11-23T01:30:20.6439821Z 
2022-11-23T01:30:20.6440131Z [2022-11-23 01:28:44,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6440339Z [2022-11-23 01:28:44,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6440575Z [2022-11-23 01:28:44,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6440860Z [2022-11-23 01:28:44,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6441097Z [2022-11-23 01:28:44,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6441374Z [2022-11-23 01:28:44,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6441678Z [2022-11-23 01:28:44,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6441910Z [2022-11-23 01:28:44,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6442171Z [2022-11-23 01:28:44,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6442411Z [2022-11-23 01:28:44,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6442653Z [2022-11-23 01:28:44,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6443029Z [2022-11-23 01:28:44,145] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6443272Z [2022-11-23 01:28:44,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6443504Z [2022-11-23 01:28:44,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6443755Z [2022-11-23 01:28:44,146] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6444037Z [2022-11-23 01:28:44,150] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6444223Z [2022-11-23 01:28:44,150] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6444356Z  __compiled_fn_432 <eval_with_key>.3411 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6444432Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6444517Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6444690Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6444783Z call_method, view, view, (add, [10]), {}
2022-11-23T01:30:20.6444990Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6445084Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6445089Z 
2022-11-23T01:30:20.6445414Z [2022-11-23 01:28:44,151] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6445497Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6445585Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6445669Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6445760Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6445843Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6445931Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6446005Z              12 RETURN_VALUE
2022-11-23T01:30:20.6446010Z 
2022-11-23T01:30:20.6446069Z  
2022-11-23T01:30:20.6446377Z [2022-11-23 01:28:44,151] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6446486Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_432)
2022-11-23T01:30:20.6446573Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6446661Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6446738Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6446824Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6446911Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6446972Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6447058Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6447161Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6447288Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6447383Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6447469Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6447567Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6447665Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6447739Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6447817Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6447903Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6447994Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6448090Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6448176Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6448249Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6448339Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6448429Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6448523Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6448608Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6448685Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6448782Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6448853Z              54 RETURN_VALUE
2022-11-23T01:30:20.6448858Z 
2022-11-23T01:30:20.6448906Z  
2022-11-23T01:30:20.6449089Z [2022-11-23 01:28:44,152] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6449192Z  - 
2022-11-23T01:30:20.6449314Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6449377Z             {
2022-11-23T01:30:20.6449517Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6449700Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6449806Z                 'obj_weakref': None
2022-11-23T01:30:20.6450027Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6450090Z             }
2022-11-23T01:30:20.6450151Z             
2022-11-23T01:30:20.6450219Z  - 
2022-11-23T01:30:20.6450374Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6450437Z             {
2022-11-23T01:30:20.6450567Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6450672Z                 'code': None,
2022-11-23T01:30:20.6450887Z                 'obj_weakref': <weakref at 0x7ff58fecbe70; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6451146Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6451210Z             }
2022-11-23T01:30:20.6451273Z             
2022-11-23T01:30:20.6451340Z  - 
2022-11-23T01:30:20.6451449Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6451510Z             {
2022-11-23T01:30:20.6451651Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6451756Z                 'code': None,
2022-11-23T01:30:20.6451965Z                 'obj_weakref': <weakref at 0x7ff58fec9580; to 'Tensor' at 0x7ff58f9e04f0>
2022-11-23T01:30:20.6452217Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6452282Z             }
2022-11-23T01:30:20.6452332Z             
2022-11-23T01:30:20.6452400Z  - 
2022-11-23T01:30:20.6452528Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6452590Z             {
2022-11-23T01:30:20.6452725Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6452892Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6453007Z                 'obj_weakref': None
2022-11-23T01:30:20.6453224Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6453285Z             }
2022-11-23T01:30:20.6453347Z             
2022-11-23T01:30:20.6453415Z  - 
2022-11-23T01:30:20.6453535Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6453600Z             {
2022-11-23T01:30:20.6453733Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6453936Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6454055Z                 'obj_weakref': None
2022-11-23T01:30:20.6454272Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6454334Z             }
2022-11-23T01:30:20.6454395Z             
2022-11-23T01:30:20.6454465Z  - 
2022-11-23T01:30:20.6454641Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6454691Z             {
2022-11-23T01:30:20.6454855Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6455297Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:30:20.6455417Z                 'obj_weakref': None
2022-11-23T01:30:20.6455638Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6455700Z             }
2022-11-23T01:30:20.6455761Z             
2022-11-23T01:30:20.6455828Z  - 
2022-11-23T01:30:20.6455998Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6456062Z             {
2022-11-23T01:30:20.6456244Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6456667Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.6456786Z                 'obj_weakref': None
2022-11-23T01:30:20.6457008Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6457072Z             }
2022-11-23T01:30:20.6457121Z             
2022-11-23T01:30:20.6457382Z [2022-11-23 01:28:44,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 424
2022-11-23T01:30:20.6457798Z [2022-11-23 01:28:45,590] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2uc3qsaruj7zu7kvermcr3g34uvqsqjzbdhcoclavsdr6ro5qo.py
2022-11-23T01:30:20.6458062Z [2022-11-23 01:28:45,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 424
2022-11-23T01:30:20.6458302Z [2022-11-23 01:28:45,594] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6458618Z [2022-11-23 01:28:45,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6458834Z [2022-11-23 01:28:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6459087Z [2022-11-23 01:28:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6459363Z [2022-11-23 01:28:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6459683Z [2022-11-23 01:28:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6460024Z [2022-11-23 01:28:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6460347Z [2022-11-23 01:28:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6460723Z [2022-11-23 01:28:45,595] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6460816Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6460912Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6461008Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6461100Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6461189Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6461250Z              10 BINARY_ADD
2022-11-23T01:30:20.6461339Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6461417Z              14 RETURN_VALUE
2022-11-23T01:30:20.6461482Z  
2022-11-23T01:30:20.6461487Z 
2022-11-23T01:30:20.6461800Z [2022-11-23 01:28:45,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6462009Z [2022-11-23 01:28:45,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6462250Z [2022-11-23 01:28:45,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6462532Z [2022-11-23 01:28:45,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6462837Z [2022-11-23 01:28:45,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6463058Z [2022-11-23 01:28:45,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6463368Z [2022-11-23 01:28:45,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6463612Z [2022-11-23 01:28:45,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6463856Z [2022-11-23 01:28:45,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6464234Z [2022-11-23 01:28:45,598] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6464480Z [2022-11-23 01:28:45,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6464738Z [2022-11-23 01:28:45,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6464994Z [2022-11-23 01:28:45,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6465247Z [2022-11-23 01:28:45,602] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6465420Z [2022-11-23 01:28:45,602] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6465557Z  __compiled_fn_433 <eval_with_key>.3417 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6465646Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6465736Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6465833Z call_method, view, view, (ex_0_, [10, 100]), {}
2022-11-23T01:30:20.6466012Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6466104Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6466113Z 
2022-11-23T01:30:20.6466439Z [2022-11-23 01:28:45,603] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6466519Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6466617Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6466704Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6466799Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6466884Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6466972Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6467046Z              12 RETURN_VALUE
2022-11-23T01:30:20.6467052Z 
2022-11-23T01:30:20.6467112Z  
2022-11-23T01:30:20.6467417Z [2022-11-23 01:28:45,603] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6467526Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_433)
2022-11-23T01:30:20.6467621Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6467709Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6467787Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6467872Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6467964Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6468027Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6468115Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6468222Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6468349Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6468443Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6468528Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6468619Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6468722Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6468798Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6468874Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6468960Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6469050Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6469176Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6469263Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6469336Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6469424Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6469513Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6469607Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6469693Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6469766Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6469864Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6469962Z              54 RETURN_VALUE
2022-11-23T01:30:20.6469967Z 
2022-11-23T01:30:20.6470015Z  
2022-11-23T01:30:20.6470197Z [2022-11-23 01:28:45,604] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6470266Z  - 
2022-11-23T01:30:20.6470384Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6470449Z             {
2022-11-23T01:30:20.6470588Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6470777Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6470883Z                 'obj_weakref': None
2022-11-23T01:30:20.6471105Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6471168Z             }
2022-11-23T01:30:20.6471229Z             
2022-11-23T01:30:20.6471297Z  - 
2022-11-23T01:30:20.6471418Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6471480Z             {
2022-11-23T01:30:20.6471611Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6471716Z                 'code': None,
2022-11-23T01:30:20.6471928Z                 'obj_weakref': <weakref at 0x7ff58f9e09a0; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6472180Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6472246Z             }
2022-11-23T01:30:20.6472307Z             
2022-11-23T01:30:20.6472375Z  - 
2022-11-23T01:30:20.6472483Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6472543Z             {
2022-11-23T01:30:20.6472682Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6472787Z                 'code': None,
2022-11-23T01:30:20.6472994Z                 'obj_weakref': <weakref at 0x7ff58f9e2110; to 'Tensor' at 0x7ff57efca0c0>
2022-11-23T01:30:20.6473244Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6473309Z             }
2022-11-23T01:30:20.6473358Z             
2022-11-23T01:30:20.6473426Z  - 
2022-11-23T01:30:20.6473556Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6473619Z             {
2022-11-23T01:30:20.6473751Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6473990Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6474116Z                 'obj_weakref': None
2022-11-23T01:30:20.6474334Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6474395Z             }
2022-11-23T01:30:20.6474461Z             
2022-11-23T01:30:20.6474534Z  - 
2022-11-23T01:30:20.6474654Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6474715Z             {
2022-11-23T01:30:20.6474848Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6475051Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6475169Z                 'obj_weakref': None
2022-11-23T01:30:20.6475387Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6475449Z             }
2022-11-23T01:30:20.6475513Z             
2022-11-23T01:30:20.6475581Z  - 
2022-11-23T01:30:20.6475794Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6475845Z             {
2022-11-23T01:30:20.6476012Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6476552Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:30:20.6476669Z                 'obj_weakref': None
2022-11-23T01:30:20.6476890Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6476982Z             }
2022-11-23T01:30:20.6477042Z             
2022-11-23T01:30:20.6477109Z  - 
2022-11-23T01:30:20.6477280Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6477342Z             {
2022-11-23T01:30:20.6477483Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6477766Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.6477882Z                 'obj_weakref': None
2022-11-23T01:30:20.6478101Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6478163Z             }
2022-11-23T01:30:20.6478212Z             
2022-11-23T01:30:20.6478278Z  - 
2022-11-23T01:30:20.6478461Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6478524Z             {
2022-11-23T01:30:20.6478667Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6478948Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:30:20.6479067Z                 'obj_weakref': None
2022-11-23T01:30:20.6479287Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6479338Z             }
2022-11-23T01:30:20.6479398Z             
2022-11-23T01:30:20.6479659Z [2022-11-23 01:28:45,609] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 425
2022-11-23T01:30:20.6480032Z [2022-11-23 01:28:45,618] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/un/cunsondapeqv6dspoufyxdrskobi3t3roupnwo33i3jpfknrybia.py
2022-11-23T01:30:20.6480294Z [2022-11-23 01:28:45,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 425
2022-11-23T01:30:20.6480531Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6480846Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6481066Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6481315Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6481578Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6481895Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6482238Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6482563Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6482965Z [2022-11-23 01:28:45,622] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6483058Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6483145Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6483217Z               4 BINARY_ADD
2022-11-23T01:30:20.6483310Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6483389Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6483473Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6483560Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6483661Z              14 BINARY_ADD
2022-11-23T01:30:20.6483748Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6483821Z              18 RETURN_VALUE
2022-11-23T01:30:20.6483881Z  
2022-11-23T01:30:20.6483887Z 
2022-11-23T01:30:20.6484193Z [2022-11-23 01:28:45,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6484400Z [2022-11-23 01:28:45,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6484640Z [2022-11-23 01:28:45,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6484921Z [2022-11-23 01:28:45,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6485165Z [2022-11-23 01:28:45,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6485443Z [2022-11-23 01:28:45,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6485745Z [2022-11-23 01:28:45,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6485981Z [2022-11-23 01:28:45,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6486250Z [2022-11-23 01:28:45,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6486487Z [2022-11-23 01:28:45,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6486719Z [2022-11-23 01:28:45,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6487096Z [2022-11-23 01:28:45,626] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6487344Z [2022-11-23 01:28:45,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6487575Z [2022-11-23 01:28:45,626] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6487828Z [2022-11-23 01:28:45,627] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6488074Z [2022-11-23 01:28:45,630] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6488260Z [2022-11-23 01:28:45,630] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6488395Z  __compiled_fn_434 <eval_with_key>.3423 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6488482Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6488555Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6488729Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6488828Z call_method, view, view, (add, [10, 100]), {}
2022-11-23T01:30:20.6489007Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6489101Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6489107Z 
2022-11-23T01:30:20.6489464Z [2022-11-23 01:28:45,631] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6489558Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6489635Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6489721Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6489812Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6489897Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6489983Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6490057Z              12 RETURN_VALUE
2022-11-23T01:30:20.6490063Z 
2022-11-23T01:30:20.6490122Z  
2022-11-23T01:30:20.6490441Z [2022-11-23 01:28:45,631] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6490594Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_434)
2022-11-23T01:30:20.6490684Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6490775Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6490850Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6490937Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6491022Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6491095Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6491169Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6491272Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6491400Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6491497Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6491586Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6491684Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6491784Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6491871Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6491935Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6492023Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6492114Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6492212Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6492300Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6492376Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6492476Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6492553Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6492648Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6492736Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6492811Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6492910Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6492987Z              54 RETURN_VALUE
2022-11-23T01:30:20.6492992Z 
2022-11-23T01:30:20.6493052Z  
2022-11-23T01:30:20.6493224Z [2022-11-23 01:28:45,632] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6493292Z  - 
2022-11-23T01:30:20.6493410Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6493475Z             {
2022-11-23T01:30:20.6493614Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6493799Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6493917Z                 'obj_weakref': None
2022-11-23T01:30:20.6494130Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6494192Z             }
2022-11-23T01:30:20.6494256Z             
2022-11-23T01:30:20.6494327Z  - 
2022-11-23T01:30:20.6494451Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6494513Z             {
2022-11-23T01:30:20.6494654Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6494746Z                 'code': None,
2022-11-23T01:30:20.6494985Z                 'obj_weakref': <weakref at 0x7ff58f9eb830; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6495237Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6495299Z             }
2022-11-23T01:30:20.6495362Z             
2022-11-23T01:30:20.6495432Z  - 
2022-11-23T01:30:20.6495553Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6495602Z             {
2022-11-23T01:30:20.6495742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6495847Z                 'code': None,
2022-11-23T01:30:20.6496056Z                 'obj_weakref': <weakref at 0x7ff6383f53a0; to 'Tensor' at 0x7ff58f9e2070>
2022-11-23T01:30:20.6496335Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6496397Z             }
2022-11-23T01:30:20.6496586Z             
2022-11-23T01:30:20.6496644Z  - 
2022-11-23T01:30:20.6496773Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6496836Z             {
2022-11-23T01:30:20.6496971Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6497141Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6497258Z                 'obj_weakref': None
2022-11-23T01:30:20.6497487Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6497537Z             }
2022-11-23T01:30:20.6497598Z             
2022-11-23T01:30:20.6497667Z  - 
2022-11-23T01:30:20.6497788Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6497851Z             {
2022-11-23T01:30:20.6497986Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6498204Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6498309Z                 'obj_weakref': None
2022-11-23T01:30:20.6498527Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6498592Z             }
2022-11-23T01:30:20.6498654Z             
2022-11-23T01:30:20.6498720Z  - 
2022-11-23T01:30:20.6498895Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6498957Z             {
2022-11-23T01:30:20.6499111Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6499664Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:30:20.6499784Z                 'obj_weakref': None
2022-11-23T01:30:20.6500005Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6500068Z             }
2022-11-23T01:30:20.6500132Z             
2022-11-23T01:30:20.6500203Z  - 
2022-11-23T01:30:20.6500389Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6500441Z             {
2022-11-23T01:30:20.6500585Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6500869Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.6500989Z                 'obj_weakref': None
2022-11-23T01:30:20.6501210Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6501274Z             }
2022-11-23T01:30:20.6501340Z             
2022-11-23T01:30:20.6501397Z  - 
2022-11-23T01:30:20.6501581Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6501645Z             {
2022-11-23T01:30:20.6501788Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6502142Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:30:20.6502259Z                 'obj_weakref': None
2022-11-23T01:30:20.6502481Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6502545Z             }
2022-11-23T01:30:20.6502595Z             
2022-11-23T01:30:20.6502859Z [2022-11-23 01:28:45,638] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 426
2022-11-23T01:30:20.6503228Z [2022-11-23 01:28:45,660] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xz/cxz4mrgam7pzapppjf3ggcrvx3izskcv2kgzdvggpprqz766s4rz.py
2022-11-23T01:30:20.6503534Z [2022-11-23 01:28:45,660] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 426
2022-11-23T01:30:20.6503772Z [2022-11-23 01:28:45,664] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6504090Z [2022-11-23 01:28:45,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6504309Z [2022-11-23 01:28:45,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6504563Z [2022-11-23 01:28:45,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6504841Z [2022-11-23 01:28:45,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6505149Z [2022-11-23 01:28:45,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6505499Z [2022-11-23 01:28:45,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6505822Z [2022-11-23 01:28:45,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6506198Z [2022-11-23 01:28:45,665] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6506292Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6506386Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6506481Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6506627Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6506722Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6506786Z              10 BINARY_ADD
2022-11-23T01:30:20.6506875Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6506952Z              14 RETURN_VALUE
2022-11-23T01:30:20.6507014Z  
2022-11-23T01:30:20.6507019Z 
2022-11-23T01:30:20.6507332Z [2022-11-23 01:28:45,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6507542Z [2022-11-23 01:28:45,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6507784Z [2022-11-23 01:28:45,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6508065Z [2022-11-23 01:28:45,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6508353Z [2022-11-23 01:28:45,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6508591Z [2022-11-23 01:28:45,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6508857Z [2022-11-23 01:28:45,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6509126Z [2022-11-23 01:28:45,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6509373Z [2022-11-23 01:28:45,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6509750Z [2022-11-23 01:28:45,667] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6509995Z [2022-11-23 01:28:45,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6510225Z [2022-11-23 01:28:45,667] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6510506Z [2022-11-23 01:28:45,668] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6510750Z [2022-11-23 01:28:45,671] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6510927Z [2022-11-23 01:28:45,671] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6511062Z  __compiled_fn_435 <eval_with_key>.3429 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6511151Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6511241Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6511337Z call_method, view, view, (ex_0_, [4, 4]), {}
2022-11-23T01:30:20.6511514Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6511606Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6511611Z 
2022-11-23T01:30:20.6511934Z [2022-11-23 01:28:45,672] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6512017Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6512107Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6512194Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6512285Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6512370Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6512457Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6512531Z              12 RETURN_VALUE
2022-11-23T01:30:20.6512536Z 
2022-11-23T01:30:20.6512584Z  
2022-11-23T01:30:20.6512903Z [2022-11-23 01:28:45,672] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6513010Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_435)
2022-11-23T01:30:20.6513100Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6513189Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6513263Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6513350Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6513435Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6513497Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6513585Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6513689Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6513888Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6513987Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6514074Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6514181Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6514268Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6514356Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6514432Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6514520Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6514616Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6514713Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6514801Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6514899Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6515001Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6515092Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6515189Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6515276Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6515351Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6515450Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6515512Z              54 RETURN_VALUE
2022-11-23T01:30:20.6515529Z 
2022-11-23T01:30:20.6515576Z  
2022-11-23T01:30:20.6515800Z [2022-11-23 01:28:45,673] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6515869Z  - 
2022-11-23T01:30:20.6515986Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6516050Z             {
2022-11-23T01:30:20.6516190Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6516379Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6516485Z                 'obj_weakref': None
2022-11-23T01:30:20.6516707Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6516771Z             }
2022-11-23T01:30:20.6516834Z             
2022-11-23T01:30:20.6516901Z  - 
2022-11-23T01:30:20.6517022Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6517072Z             {
2022-11-23T01:30:20.6517210Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6517314Z                 'code': None,
2022-11-23T01:30:20.6517525Z                 'obj_weakref': <weakref at 0x7ff58fe9a4d0; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6517778Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6517840Z             }
2022-11-23T01:30:20.6517902Z             
2022-11-23T01:30:20.6517969Z  - 
2022-11-23T01:30:20.6518080Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6518141Z             {
2022-11-23T01:30:20.6518283Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6518388Z                 'code': None,
2022-11-23T01:30:20.6518597Z                 'obj_weakref': <weakref at 0x7ff58fe99fd0; to 'Tensor' at 0x7ff58f9eaa70>
2022-11-23T01:30:20.6518847Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6518908Z             }
2022-11-23T01:30:20.6518958Z             
2022-11-23T01:30:20.6519026Z  - 
2022-11-23T01:30:20.6519154Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6519218Z             {
2022-11-23T01:30:20.6519349Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6519515Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6519631Z                 'obj_weakref': None
2022-11-23T01:30:20.6519849Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6519911Z             }
2022-11-23T01:30:20.6519972Z             
2022-11-23T01:30:20.6520040Z  - 
2022-11-23T01:30:20.6520159Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6520220Z             {
2022-11-23T01:30:20.6520342Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6520557Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6520672Z                 'obj_weakref': None
2022-11-23T01:30:20.6520890Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6520953Z             }
2022-11-23T01:30:20.6521018Z             
2022-11-23T01:30:20.6521085Z  - 
2022-11-23T01:30:20.6521260Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6521311Z             {
2022-11-23T01:30:20.6521477Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6522046Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:30:20.6522165Z                 'obj_weakref': None
2022-11-23T01:30:20.6522385Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6522447Z             }
2022-11-23T01:30:20.6522508Z             
2022-11-23T01:30:20.6522603Z  - 
2022-11-23T01:30:20.6522773Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6522834Z             {
2022-11-23T01:30:20.6522975Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6523256Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:30:20.6523371Z                 'obj_weakref': None
2022-11-23T01:30:20.6523591Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6523654Z             }
2022-11-23T01:30:20.6523703Z             
2022-11-23T01:30:20.6523770Z  - 
2022-11-23T01:30:20.6523953Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6524015Z             {
2022-11-23T01:30:20.6524156Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6524433Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:30:20.6524552Z                 'obj_weakref': None
2022-11-23T01:30:20.6524757Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6524819Z             }
2022-11-23T01:30:20.6524879Z             
2022-11-23T01:30:20.6525143Z [2022-11-23 01:28:45,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 427
2022-11-23T01:30:20.6525149Z 
2022-11-23T01:30:20.6525242Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6525310Z import torch
2022-11-23T01:30:20.6525377Z import random
2022-11-23T01:30:20.6525491Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6525601Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6525606Z 
2022-11-23T01:30:20.6525682Z aten = torch.ops.aten
2022-11-23T01:30:20.6525814Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6525906Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6525911Z 
2022-11-23T01:30:20.6525915Z 
2022-11-23T01:30:20.6526047Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6526253Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6526373Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6526477Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6526564Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6526624Z {
2022-11-23T01:30:20.6526721Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6526782Z     {
2022-11-23T01:30:20.6526858Z         #pragma omp for 
2022-11-23T01:30:20.6526938Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.6526999Z         {
2022-11-23T01:30:20.6527130Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6527259Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6527345Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6527436Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6527498Z         }
2022-11-23T01:30:20.6527591Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6527671Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.6527749Z         {
2022-11-23T01:30:20.6527832Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6527912Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6527992Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6528070Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6528131Z         }
2022-11-23T01:30:20.6528192Z     }
2022-11-23T01:30:20.6528239Z }
2022-11-23T01:30:20.6528317Z ''')
2022-11-23T01:30:20.6528322Z 
2022-11-23T01:30:20.6528326Z 
2022-11-23T01:30:20.6528415Z async_compile.wait(globals())
2022-11-23T01:30:20.6528489Z del async_compile
2022-11-23T01:30:20.6528493Z 
2022-11-23T01:30:20.6528591Z def call(args):
2022-11-23T01:30:20.6528665Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6528734Z     args.clear()
2022-11-23T01:30:20.6528915Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6529077Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6529146Z     del arg0_1
2022-11-23T01:30:20.6529211Z     del arg1_1
2022-11-23T01:30:20.6529281Z     return (buf0, )
2022-11-23T01:30:20.6529286Z 
2022-11-23T01:30:20.6529290Z 
2022-11-23T01:30:20.6529364Z if __name__ == "__main__":
2022-11-23T01:30:20.6529477Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6529599Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6529791Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6529985Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6530099Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6530106Z 
2022-11-23T01:30:20.6530110Z 
2022-11-23T01:30:20.6530202Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6530270Z import torch
2022-11-23T01:30:20.6530336Z import random
2022-11-23T01:30:20.6530447Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6530555Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6530572Z 
2022-11-23T01:30:20.6530635Z aten = torch.ops.aten
2022-11-23T01:30:20.6530765Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6530857Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6530862Z 
2022-11-23T01:30:20.6530866Z 
2022-11-23T01:30:20.6531000Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6531202Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6531317Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6531420Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6531521Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6531571Z {
2022-11-23T01:30:20.6531667Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6531727Z     {
2022-11-23T01:30:20.6531803Z         #pragma omp for 
2022-11-23T01:30:20.6531884Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.6531945Z         {
2022-11-23T01:30:20.6532065Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6532195Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6532322Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6532407Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6532488Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6532578Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6532639Z         }
2022-11-23T01:30:20.6532730Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6532801Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.6532861Z         {
2022-11-23T01:30:20.6532942Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6533021Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6533118Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6533231Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6533314Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6533381Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6533441Z         }
2022-11-23T01:30:20.6533502Z     }
2022-11-23T01:30:20.6533562Z }
2022-11-23T01:30:20.6533639Z ''')
2022-11-23T01:30:20.6533644Z 
2022-11-23T01:30:20.6533648Z 
2022-11-23T01:30:20.6533734Z async_compile.wait(globals())
2022-11-23T01:30:20.6533806Z del async_compile
2022-11-23T01:30:20.6533811Z 
2022-11-23T01:30:20.6533868Z def call(args):
2022-11-23T01:30:20.6533940Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6534009Z     args.clear()
2022-11-23T01:30:20.6534228Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6534389Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6534456Z     del arg0_1
2022-11-23T01:30:20.6534521Z     del arg1_1
2022-11-23T01:30:20.6534578Z     return (buf0, )
2022-11-23T01:30:20.6534586Z 
2022-11-23T01:30:20.6534602Z 
2022-11-23T01:30:20.6534663Z if __name__ == "__main__":
2022-11-23T01:30:20.6534775Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6534897Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6535102Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6535290Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6535401Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6535406Z 
2022-11-23T01:30:20.6535411Z 
2022-11-23T01:30:20.6535504Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6535561Z import torch
2022-11-23T01:30:20.6535629Z import random
2022-11-23T01:30:20.6535740Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6535858Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6535862Z 
2022-11-23T01:30:20.6535939Z aten = torch.ops.aten
2022-11-23T01:30:20.6536072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6536161Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6536166Z 
2022-11-23T01:30:20.6536170Z 
2022-11-23T01:30:20.6536303Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6536609Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6536729Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6536833Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6536933Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6537001Z {
2022-11-23T01:30:20.6537100Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6537163Z     {
2022-11-23T01:30:20.6537227Z         #pragma omp for 
2022-11-23T01:30:20.6537310Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.6537372Z         {
2022-11-23T01:30:20.6537506Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6537636Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6537722Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6537813Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6537877Z         }
2022-11-23T01:30:20.6537960Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6538046Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.6538112Z         {
2022-11-23T01:30:20.6538195Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6538278Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6538362Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6538429Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6538493Z         }
2022-11-23T01:30:20.6538556Z     }
2022-11-23T01:30:20.6538618Z }
2022-11-23T01:30:20.6538701Z ''')
2022-11-23T01:30:20.6538706Z 
2022-11-23T01:30:20.6538710Z 
2022-11-23T01:30:20.6538798Z async_compile.wait(globals())
2022-11-23T01:30:20.6538923Z del async_compile
2022-11-23T01:30:20.6538929Z 
2022-11-23T01:30:20.6538999Z def call(args):
2022-11-23T01:30:20.6539061Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6539132Z     args.clear()
2022-11-23T01:30:20.6539338Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6539504Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6539573Z     del arg0_1
2022-11-23T01:30:20.6539641Z     del arg1_1
2022-11-23T01:30:20.6539713Z     return (buf0, )
2022-11-23T01:30:20.6539718Z 
2022-11-23T01:30:20.6539722Z 
2022-11-23T01:30:20.6539826Z if __name__ == "__main__":
2022-11-23T01:30:20.6539940Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6540062Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6540293Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6540497Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6540613Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6540619Z 
2022-11-23T01:30:20.6540623Z 
2022-11-23T01:30:20.6540718Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6540789Z import torch
2022-11-23T01:30:20.6540846Z import random
2022-11-23T01:30:20.6540961Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6541081Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6541086Z 
2022-11-23T01:30:20.6541164Z aten = torch.ops.aten
2022-11-23T01:30:20.6541301Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6541394Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6541399Z 
2022-11-23T01:30:20.6541403Z 
2022-11-23T01:30:20.6541535Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6541740Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6541846Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6541953Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6542053Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6542115Z {
2022-11-23T01:30:20.6542210Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6542272Z     {
2022-11-23T01:30:20.6542349Z         #pragma omp for 
2022-11-23T01:30:20.6542418Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.6542483Z         {
2022-11-23T01:30:20.6542618Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6542749Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6542876Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6542962Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6543043Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6543134Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6543184Z         }
2022-11-23T01:30:20.6543279Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6543364Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.6543428Z         {
2022-11-23T01:30:20.6543510Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6543590Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6543687Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6543756Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6543835Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6543915Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6543978Z         }
2022-11-23T01:30:20.6544038Z     }
2022-11-23T01:30:20.6544096Z }
2022-11-23T01:30:20.6544161Z ''')
2022-11-23T01:30:20.6544166Z 
2022-11-23T01:30:20.6544183Z 
2022-11-23T01:30:20.6544257Z async_compile.wait(globals())
2022-11-23T01:30:20.6544329Z del async_compile
2022-11-23T01:30:20.6544334Z 
2022-11-23T01:30:20.6544446Z def call(args):
2022-11-23T01:30:20.6544523Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6544593Z     args.clear()
2022-11-23T01:30:20.6544795Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6544955Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6545009Z     del arg0_1
2022-11-23T01:30:20.6545074Z     del arg1_1
2022-11-23T01:30:20.6545144Z     return (buf0, )
2022-11-23T01:30:20.6545149Z 
2022-11-23T01:30:20.6545152Z 
2022-11-23T01:30:20.6545227Z if __name__ == "__main__":
2022-11-23T01:30:20.6545339Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6545498Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6545726Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6545927Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6546032Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6546037Z 
2022-11-23T01:30:20.6546407Z [2022-11-23 01:28:47,075] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nt/cntf42mqgh5b6un654kxlrnn3l4laogepq6hlqqrp2gcvif3thlt.py
2022-11-23T01:30:20.6546673Z [2022-11-23 01:28:47,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 427
2022-11-23T01:30:20.6546911Z [2022-11-23 01:28:47,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6547226Z [2022-11-23 01:28:47,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6547445Z [2022-11-23 01:28:47,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6547698Z [2022-11-23 01:28:47,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6547974Z [2022-11-23 01:28:47,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6548293Z [2022-11-23 01:28:47,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6548627Z [2022-11-23 01:28:47,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6554408Z [2022-11-23 01:28:47,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6554847Z [2022-11-23 01:28:47,087] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6554943Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6555039Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6555116Z               4 BINARY_ADD
2022-11-23T01:30:20.6555210Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6555306Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6555380Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6555467Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6555540Z              14 BINARY_ADD
2022-11-23T01:30:20.6555628Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6555704Z              18 RETURN_VALUE
2022-11-23T01:30:20.6555767Z  
2022-11-23T01:30:20.6555776Z 
2022-11-23T01:30:20.6556094Z [2022-11-23 01:28:47,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6556309Z [2022-11-23 01:28:47,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6556620Z [2022-11-23 01:28:47,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6556905Z [2022-11-23 01:28:47,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6557146Z [2022-11-23 01:28:47,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6557426Z [2022-11-23 01:28:47,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6557730Z [2022-11-23 01:28:47,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6558001Z [2022-11-23 01:28:47,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6558281Z [2022-11-23 01:28:47,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6558525Z [2022-11-23 01:28:47,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6558773Z [2022-11-23 01:28:47,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6559152Z [2022-11-23 01:28:47,091] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6559384Z [2022-11-23 01:28:47,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6559615Z [2022-11-23 01:28:47,091] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6559876Z [2022-11-23 01:28:47,093] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6560123Z [2022-11-23 01:28:47,099] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6560310Z [2022-11-23 01:28:47,099] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6560444Z  __compiled_fn_436 <eval_with_key>.3435 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6560534Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6560619Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6560777Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6560872Z call_method, view, view, (add, [4, 4]), {}
2022-11-23T01:30:20.6561049Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6561143Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6561151Z 
2022-11-23T01:30:20.6561474Z [2022-11-23 01:28:47,100] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6561566Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6561655Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6561742Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6561822Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6561905Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6561993Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6562067Z              12 RETURN_VALUE
2022-11-23T01:30:20.6562072Z 
2022-11-23T01:30:20.6562131Z  
2022-11-23T01:30:20.6562454Z [2022-11-23 01:28:47,100] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6562561Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_436)
2022-11-23T01:30:20.6562652Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6562730Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6562805Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6562893Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6563007Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6563082Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6563168Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6563271Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6563387Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6563484Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6563569Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6563663Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6563761Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6563876Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6563951Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6564027Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6564117Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6564216Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6564305Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6564378Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6564479Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6564567Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6564651Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6564737Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6564833Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6564977Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6565078Z              54 RETURN_VALUE
2022-11-23T01:30:20.6565086Z 
2022-11-23T01:30:20.6565172Z  
2022-11-23T01:30:20.6565432Z [2022-11-23 01:28:47,102] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6565528Z  - 
2022-11-23T01:30:20.6565681Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6565777Z             {
2022-11-23T01:30:20.6565983Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6566171Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6566291Z                 'obj_weakref': None
2022-11-23T01:30:20.6566518Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6566580Z             }
2022-11-23T01:30:20.6566631Z             
2022-11-23T01:30:20.6566698Z  - 
2022-11-23T01:30:20.6566821Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6566884Z             {
2022-11-23T01:30:20.6567025Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6567134Z                 'code': None,
2022-11-23T01:30:20.6567334Z                 'obj_weakref': <weakref at 0x7ff58ff17880; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6567588Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6567654Z             }
2022-11-23T01:30:20.6567717Z             
2022-11-23T01:30:20.6567785Z  - 
2022-11-23T01:30:20.6567907Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6567968Z             {
2022-11-23T01:30:20.6568098Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6568203Z                 'code': None,
2022-11-23T01:30:20.6568412Z                 'obj_weakref': <weakref at 0x7ff58fc8c590; to 'Tensor' at 0x7ff58fe597b0>
2022-11-23T01:30:20.6568663Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6568725Z             }
2022-11-23T01:30:20.6568789Z             
2022-11-23T01:30:20.6568856Z  - 
2022-11-23T01:30:20.6568984Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6569035Z             {
2022-11-23T01:30:20.6569168Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6569336Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6569512Z                 'obj_weakref': None
2022-11-23T01:30:20.6569743Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6569806Z             }
2022-11-23T01:30:20.6569868Z             
2022-11-23T01:30:20.6569924Z  - 
2022-11-23T01:30:20.6570044Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6570108Z             {
2022-11-23T01:30:20.6570243Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6570461Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6570579Z                 'obj_weakref': None
2022-11-23T01:30:20.6570830Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6570881Z             }
2022-11-23T01:30:20.6570942Z             
2022-11-23T01:30:20.6571009Z  - 
2022-11-23T01:30:20.6571185Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6571252Z             {
2022-11-23T01:30:20.6571420Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6571962Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:30:20.6572080Z                 'obj_weakref': None
2022-11-23T01:30:20.6572288Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6572353Z             }
2022-11-23T01:30:20.6572414Z             
2022-11-23T01:30:20.6572482Z  - 
2022-11-23T01:30:20.6572665Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6572727Z             {
2022-11-23T01:30:20.6572869Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6573141Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:30:20.6573258Z                 'obj_weakref': None
2022-11-23T01:30:20.6573477Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6573539Z             }
2022-11-23T01:30:20.6573599Z             
2022-11-23T01:30:20.6573667Z  - 
2022-11-23T01:30:20.6573851Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6573901Z             {
2022-11-23T01:30:20.6574046Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6574323Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:30:20.6574439Z                 'obj_weakref': None
2022-11-23T01:30:20.6574661Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6574725Z             }
2022-11-23T01:30:20.6574786Z             
2022-11-23T01:30:20.6575034Z [2022-11-23 01:28:47,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 428
2022-11-23T01:30:20.6575403Z [2022-11-23 01:28:49,099] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qe/cqea7pq73wg2fhmoygqwgj7lxianmujbnsseec4epujnnfil2zp6.py
2022-11-23T01:30:20.6575665Z [2022-11-23 01:28:49,099] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 428
2022-11-23T01:30:20.6575901Z [2022-11-23 01:28:49,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6576215Z [2022-11-23 01:28:49,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6576669Z [2022-11-23 01:28:49,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6576934Z [2022-11-23 01:28:49,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6577213Z [2022-11-23 01:28:49,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6577533Z [2022-11-23 01:28:49,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6577876Z [2022-11-23 01:28:49,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6578228Z [2022-11-23 01:28:49,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6578608Z [2022-11-23 01:28:49,106] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6578701Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6578796Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6578889Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6578977Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6579065Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6579136Z              10 BINARY_ADD
2022-11-23T01:30:20.6579213Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6579288Z              14 RETURN_VALUE
2022-11-23T01:30:20.6579352Z  
2022-11-23T01:30:20.6579358Z 
2022-11-23T01:30:20.6579671Z [2022-11-23 01:28:49,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6579878Z [2022-11-23 01:28:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6580121Z [2022-11-23 01:28:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6580401Z [2022-11-23 01:28:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6580702Z [2022-11-23 01:28:49,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6580936Z [2022-11-23 01:28:49,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6581190Z [2022-11-23 01:28:49,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6581430Z [2022-11-23 01:28:49,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6581674Z [2022-11-23 01:28:49,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6582053Z [2022-11-23 01:28:49,110] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6582300Z [2022-11-23 01:28:49,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6582533Z [2022-11-23 01:28:49,111] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6582784Z [2022-11-23 01:28:49,113] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6583031Z [2022-11-23 01:28:49,117] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6583223Z [2022-11-23 01:28:49,117] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6583345Z  __compiled_fn_437 <eval_with_key>.3441 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6583436Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6583555Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6583653Z call_method, view, view, (ex_0_, [35]), {}
2022-11-23T01:30:20.6583830Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6583924Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6583929Z 
2022-11-23T01:30:20.6584252Z [2022-11-23 01:28:49,118] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6584343Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6584421Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6584533Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6584624Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6584707Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6584793Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6584868Z              12 RETURN_VALUE
2022-11-23T01:30:20.6584876Z 
2022-11-23T01:30:20.6584935Z  
2022-11-23T01:30:20.6585257Z [2022-11-23 01:28:49,118] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6585352Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_437)
2022-11-23T01:30:20.6585440Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6585527Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6585604Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6585691Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6585778Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6585851Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6585925Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6586028Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6586156Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6586251Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6586337Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6586432Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6586530Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6586617Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6586681Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6586766Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6586856Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6586956Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6587042Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6587116Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6587216Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6587294Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6587391Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6587477Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6587553Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6587652Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6587727Z              54 RETURN_VALUE
2022-11-23T01:30:20.6587732Z 
2022-11-23T01:30:20.6587790Z  
2022-11-23T01:30:20.6587960Z [2022-11-23 01:28:49,120] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6588028Z  - 
2022-11-23T01:30:20.6588145Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6588208Z             {
2022-11-23T01:30:20.6588351Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6588538Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6588655Z                 'obj_weakref': None
2022-11-23T01:30:20.6588897Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6588965Z             }
2022-11-23T01:30:20.6589027Z             
2022-11-23T01:30:20.6589095Z  - 
2022-11-23T01:30:20.6589219Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6589280Z             {
2022-11-23T01:30:20.6589420Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6589514Z                 'code': None,
2022-11-23T01:30:20.6589726Z                 'obj_weakref': <weakref at 0x7ff58ffba110; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6589977Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6590067Z             }
2022-11-23T01:30:20.6590129Z             
2022-11-23T01:30:20.6590197Z  - 
2022-11-23T01:30:20.6590318Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6590368Z             {
2022-11-23T01:30:20.6590508Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6590614Z                 'code': None,
2022-11-23T01:30:20.6590825Z                 'obj_weakref': <weakref at 0x7ff58ffb8d10; to 'Tensor' at 0x7ff58ff49e40>
2022-11-23T01:30:20.6591076Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6591138Z             }
2022-11-23T01:30:20.6591200Z             
2022-11-23T01:30:20.6591256Z  - 
2022-11-23T01:30:20.6591385Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6591446Z             {
2022-11-23T01:30:20.6591578Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6591746Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6591866Z                 'obj_weakref': None
2022-11-23T01:30:20.6592093Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6592143Z             }
2022-11-23T01:30:20.6592204Z             
2022-11-23T01:30:20.6592270Z  - 
2022-11-23T01:30:20.6592391Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6592456Z             {
2022-11-23T01:30:20.6592589Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6592802Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6592906Z                 'obj_weakref': None
2022-11-23T01:30:20.6593123Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6593184Z             }
2022-11-23T01:30:20.6593244Z             
2022-11-23T01:30:20.6593311Z  - 
2022-11-23T01:30:20.6593488Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6593551Z             {
2022-11-23T01:30:20.6593705Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6594223Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:30:20.6594342Z                 'obj_weakref': None
2022-11-23T01:30:20.6594561Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6594624Z             }
2022-11-23T01:30:20.6594686Z             
2022-11-23T01:30:20.6594753Z  - 
2022-11-23T01:30:20.6594936Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6594987Z             {
2022-11-23T01:30:20.6595127Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6595410Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:30:20.6595530Z                 'obj_weakref': None
2022-11-23T01:30:20.6595752Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6595815Z             }
2022-11-23T01:30:20.6595949Z             
2022-11-23T01:30:20.6596199Z [2022-11-23 01:28:49,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 429
2022-11-23T01:30:20.6596569Z [2022-11-23 01:28:49,139] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qm/cqm5puf5hsp5n6hen3w3blimqpkm6vnmw3zo7rpkbsppi6jw7h7j.py
2022-11-23T01:30:20.6596833Z [2022-11-23 01:28:49,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 429
2022-11-23T01:30:20.6597071Z [2022-11-23 01:28:49,144] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6597414Z [2022-11-23 01:28:49,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6597632Z [2022-11-23 01:28:49,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6597888Z [2022-11-23 01:28:49,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6598164Z [2022-11-23 01:28:49,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6598485Z [2022-11-23 01:28:49,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6598830Z [2022-11-23 01:28:49,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6599138Z [2022-11-23 01:28:49,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6599511Z [2022-11-23 01:28:49,145] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6599604Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6599694Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6599771Z               4 BINARY_ADD
2022-11-23T01:30:20.6599863Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6599953Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6600039Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6600114Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6600185Z              14 BINARY_ADD
2022-11-23T01:30:20.6600271Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6600346Z              18 RETURN_VALUE
2022-11-23T01:30:20.6600409Z  
2022-11-23T01:30:20.6600415Z 
2022-11-23T01:30:20.6600726Z [2022-11-23 01:28:49,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6600934Z [2022-11-23 01:28:49,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6601172Z [2022-11-23 01:28:49,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6601439Z [2022-11-23 01:28:49,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6601679Z [2022-11-23 01:28:49,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6601954Z [2022-11-23 01:28:49,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6602255Z [2022-11-23 01:28:49,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6602490Z [2022-11-23 01:28:49,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6602786Z [2022-11-23 01:28:49,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6603026Z [2022-11-23 01:28:49,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6603267Z [2022-11-23 01:28:49,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6603641Z [2022-11-23 01:28:49,149] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6603883Z [2022-11-23 01:28:49,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6604134Z [2022-11-23 01:28:49,149] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6604388Z [2022-11-23 01:28:49,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6604639Z [2022-11-23 01:28:49,157] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6604823Z [2022-11-23 01:28:49,158] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6604956Z  __compiled_fn_438 <eval_with_key>.3447 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6605045Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6605129Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6605301Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6605383Z call_method, view, view, (add, [35]), {}
2022-11-23T01:30:20.6605560Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6605655Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6605660Z 
2022-11-23T01:30:20.6605982Z [2022-11-23 01:28:49,158] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6606074Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6606166Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6606251Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6606343Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6606416Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6606502Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6606577Z              12 RETURN_VALUE
2022-11-23T01:30:20.6606582Z 
2022-11-23T01:30:20.6606641Z  
2022-11-23T01:30:20.6606961Z [2022-11-23 01:28:49,159] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6607069Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_438)
2022-11-23T01:30:20.6607158Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6607245Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6607308Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6607394Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6607482Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6607555Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6607641Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6607743Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6607869Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6607953Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6608039Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6608133Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6608236Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6608322Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6608395Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6608481Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6608559Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6608681Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6608769Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6608844Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6608943Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6609033Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6609126Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6609199Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6609273Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6609372Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6609471Z              54 RETURN_VALUE
2022-11-23T01:30:20.6609476Z 
2022-11-23T01:30:20.6609535Z  
2022-11-23T01:30:20.6609722Z [2022-11-23 01:28:49,160] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6609790Z  - 
2022-11-23T01:30:20.6609895Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6609962Z             {
2022-11-23T01:30:20.6610101Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6610285Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6610403Z                 'obj_weakref': None
2022-11-23T01:30:20.6610626Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6610688Z             }
2022-11-23T01:30:20.6610749Z             
2022-11-23T01:30:20.6610805Z  - 
2022-11-23T01:30:20.6610928Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6610991Z             {
2022-11-23T01:30:20.6611135Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6611239Z                 'code': None,
2022-11-23T01:30:20.6611446Z                 'obj_weakref': <weakref at 0x7ff58f9e2110; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6611700Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6611751Z             }
2022-11-23T01:30:20.6611811Z             
2022-11-23T01:30:20.6611878Z  - 
2022-11-23T01:30:20.6612000Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6612062Z             {
2022-11-23T01:30:20.6612201Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6612295Z                 'code': None,
2022-11-23T01:30:20.6612505Z                 'obj_weakref': <weakref at 0x7ff58fdc9350; to 'Tensor' at 0x7ff58f9eaca0>
2022-11-23T01:30:20.6612755Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6612820Z             }
2022-11-23T01:30:20.6612882Z             
2022-11-23T01:30:20.6612950Z  - 
2022-11-23T01:30:20.6613078Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6613128Z             {
2022-11-23T01:30:20.6613261Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6613430Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6613546Z                 'obj_weakref': None
2022-11-23T01:30:20.6613776Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6613838Z             }
2022-11-23T01:30:20.6613900Z             
2022-11-23T01:30:20.6613955Z  - 
2022-11-23T01:30:20.6614074Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6614135Z             {
2022-11-23T01:30:20.6614270Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6614487Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6614604Z                 'obj_weakref': None
2022-11-23T01:30:20.6614821Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6614882Z             }
2022-11-23T01:30:20.6614931Z             
2022-11-23T01:30:20.6614998Z  - 
2022-11-23T01:30:20.6615206Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6615270Z             {
2022-11-23T01:30:20.6615437Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6615883Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:30:20.6615998Z                 'obj_weakref': None
2022-11-23T01:30:20.6616207Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6616296Z             }
2022-11-23T01:30:20.6616357Z             
2022-11-23T01:30:20.6616558Z  - 
2022-11-23T01:30:20.6616771Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6616834Z             {
2022-11-23T01:30:20.6616977Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6617250Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:30:20.6617368Z                 'obj_weakref': None
2022-11-23T01:30:20.6617588Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6617651Z             }
2022-11-23T01:30:20.6617712Z             
2022-11-23T01:30:20.6617973Z [2022-11-23 01:28:49,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 430
2022-11-23T01:30:20.6618333Z [2022-11-23 01:28:49,197] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wu/cwuj7q3x3sflt756eo4akch3vproxyq4rkialdse7gr7klobtfqm.py
2022-11-23T01:30:20.6618598Z [2022-11-23 01:28:49,197] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 430
2022-11-23T01:30:20.6618838Z [2022-11-23 01:28:49,204] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6619141Z [2022-11-23 01:28:49,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6619356Z [2022-11-23 01:28:49,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6619607Z [2022-11-23 01:28:49,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6619882Z [2022-11-23 01:28:49,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6620198Z [2022-11-23 01:28:49,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6620544Z [2022-11-23 01:28:49,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6620864Z [2022-11-23 01:28:49,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6621243Z [2022-11-23 01:28:49,205] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6621333Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6621426Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6621506Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6621591Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6621682Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6621755Z              10 BINARY_ADD
2022-11-23T01:30:20.6621844Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6621919Z              14 RETURN_VALUE
2022-11-23T01:30:20.6621980Z  
2022-11-23T01:30:20.6621986Z 
2022-11-23T01:30:20.6622338Z [2022-11-23 01:28:49,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6622549Z [2022-11-23 01:28:49,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6622790Z [2022-11-23 01:28:49,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6623072Z [2022-11-23 01:28:49,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6623374Z [2022-11-23 01:28:49,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6623647Z [2022-11-23 01:28:49,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6623918Z [2022-11-23 01:28:49,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6624162Z [2022-11-23 01:28:49,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6624405Z [2022-11-23 01:28:49,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6624767Z [2022-11-23 01:28:49,213] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6625009Z [2022-11-23 01:28:49,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6625244Z [2022-11-23 01:28:49,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6625498Z [2022-11-23 01:28:49,215] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6625748Z [2022-11-23 01:28:49,219] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6625935Z [2022-11-23 01:28:49,220] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6626068Z  __compiled_fn_439 <eval_with_key>.3453 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6626158Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6626244Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6626330Z call_method, view, view, (ex_0_, [5040]), {}
2022-11-23T01:30:20.6626506Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6626599Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6626604Z 
2022-11-23T01:30:20.6626929Z [2022-11-23 01:28:49,221] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6627019Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6627108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6627195Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6627286Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6627358Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6627445Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6627522Z              12 RETURN_VALUE
2022-11-23T01:30:20.6627527Z 
2022-11-23T01:30:20.6627587Z  
2022-11-23T01:30:20.6627907Z [2022-11-23 01:28:49,221] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6628012Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_439)
2022-11-23T01:30:20.6628105Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6628182Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6628258Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6628344Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6628430Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6628534Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6628622Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6628723Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6628848Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6628931Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6629017Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6629111Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6629212Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6629326Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6629400Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6629485Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6629564Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6629660Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6629749Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6629824Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6629923Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6630011Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6630107Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6630180Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6630253Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6630352Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6630425Z              54 RETURN_VALUE
2022-11-23T01:30:20.6630433Z 
2022-11-23T01:30:20.6630494Z  
2022-11-23T01:30:20.6630679Z [2022-11-23 01:28:49,223] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6630746Z  - 
2022-11-23T01:30:20.6630852Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6630915Z             {
2022-11-23T01:30:20.6631054Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6631241Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6631359Z                 'obj_weakref': None
2022-11-23T01:30:20.6631581Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6631644Z             }
2022-11-23T01:30:20.6631694Z             
2022-11-23T01:30:20.6631762Z  - 
2022-11-23T01:30:20.6631884Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6631945Z             {
2022-11-23T01:30:20.6632085Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6632189Z                 'code': None,
2022-11-23T01:30:20.6632403Z                 'obj_weakref': <weakref at 0x7ff58f97ee80; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6632654Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6632706Z             }
2022-11-23T01:30:20.6632767Z             
2022-11-23T01:30:20.6632837Z  - 
2022-11-23T01:30:20.6632959Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6633023Z             {
2022-11-23T01:30:20.6633165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6633258Z                 'code': None,
2022-11-23T01:30:20.6633466Z                 'obj_weakref': <weakref at 0x7ff58f97f2e0; to 'Tensor' at 0x7ff58f9e0cc0>
2022-11-23T01:30:20.6633714Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6633776Z             }
2022-11-23T01:30:20.6633908Z             
2022-11-23T01:30:20.6633986Z  - 
2022-11-23T01:30:20.6634119Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6634169Z             {
2022-11-23T01:30:20.6634304Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6634473Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6634591Z                 'obj_weakref': None
2022-11-23T01:30:20.6634852Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6634917Z             }
2022-11-23T01:30:20.6634979Z             
2022-11-23T01:30:20.6635036Z  - 
2022-11-23T01:30:20.6635156Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6635219Z             {
2022-11-23T01:30:20.6635355Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6635571Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6635690Z                 'obj_weakref': None
2022-11-23T01:30:20.6635910Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6635999Z             }
2022-11-23T01:30:20.6636050Z             
2022-11-23T01:30:20.6636116Z  - 
2022-11-23T01:30:20.6636291Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6636353Z             {
2022-11-23T01:30:20.6636521Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6636964Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:30:20.6637083Z                 'obj_weakref': None
2022-11-23T01:30:20.6637290Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6637352Z             }
2022-11-23T01:30:20.6637413Z             
2022-11-23T01:30:20.6637483Z  - 
2022-11-23T01:30:20.6637663Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6637725Z             {
2022-11-23T01:30:20.6637867Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6638141Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:30:20.6638259Z                 'obj_weakref': None
2022-11-23T01:30:20.6638477Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6638539Z             }
2022-11-23T01:30:20.6638599Z             
2022-11-23T01:30:20.6638860Z [2022-11-23 01:28:49,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 431
2022-11-23T01:30:20.6638865Z 
2022-11-23T01:30:20.6638955Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6639022Z import torch
2022-11-23T01:30:20.6639078Z import random
2022-11-23T01:30:20.6639193Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6639314Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6639319Z 
2022-11-23T01:30:20.6639395Z aten = torch.ops.aten
2022-11-23T01:30:20.6639528Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6639620Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6639626Z 
2022-11-23T01:30:20.6639630Z 
2022-11-23T01:30:20.6639763Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6639966Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6640073Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6640176Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6640273Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6640333Z {
2022-11-23T01:30:20.6640430Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6640494Z     {
2022-11-23T01:30:20.6640572Z         #pragma omp for 
2022-11-23T01:30:20.6640641Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.6640702Z         {
2022-11-23T01:30:20.6640849Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6640980Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6641111Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6641202Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6641264Z         }
2022-11-23T01:30:20.6641344Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6641424Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.6641485Z         {
2022-11-23T01:30:20.6641565Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6641646Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6641726Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6641803Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6641852Z         }
2022-11-23T01:30:20.6641945Z     }
2022-11-23T01:30:20.6642005Z }
2022-11-23T01:30:20.6642083Z ''')
2022-11-23T01:30:20.6642089Z 
2022-11-23T01:30:20.6642093Z 
2022-11-23T01:30:20.6642182Z async_compile.wait(globals())
2022-11-23T01:30:20.6642254Z del async_compile
2022-11-23T01:30:20.6642258Z 
2022-11-23T01:30:20.6642328Z def call(args):
2022-11-23T01:30:20.6642392Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6642463Z     args.clear()
2022-11-23T01:30:20.6642657Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6642818Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6642885Z     del arg0_1
2022-11-23T01:30:20.6642949Z     del arg1_1
2022-11-23T01:30:20.6643018Z     return (buf0, )
2022-11-23T01:30:20.6643023Z 
2022-11-23T01:30:20.6643027Z 
2022-11-23T01:30:20.6643102Z if __name__ == "__main__":
2022-11-23T01:30:20.6643201Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6643324Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6643532Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6643729Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6643840Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6643846Z 
2022-11-23T01:30:20.6643850Z 
2022-11-23T01:30:20.6643946Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6644014Z import torch
2022-11-23T01:30:20.6644083Z import random
2022-11-23T01:30:20.6644183Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6644301Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6644306Z 
2022-11-23T01:30:20.6644381Z aten = torch.ops.aten
2022-11-23T01:30:20.6644512Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6644601Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6644605Z 
2022-11-23T01:30:20.6644612Z 
2022-11-23T01:30:20.6644741Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6644944Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6645062Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6645156Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6645253Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6645314Z {
2022-11-23T01:30:20.6645409Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6645469Z     {
2022-11-23T01:30:20.6645544Z         #pragma omp for 
2022-11-23T01:30:20.6645623Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.6645673Z         {
2022-11-23T01:30:20.6645803Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6645931Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6646058Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6646144Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6646225Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6646314Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6646363Z         }
2022-11-23T01:30:20.6646456Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6646568Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.6646631Z         {
2022-11-23T01:30:20.6646714Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6646792Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6646889Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6646958Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6647038Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6647116Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6647177Z         }
2022-11-23T01:30:20.6647237Z     }
2022-11-23T01:30:20.6647296Z }
2022-11-23T01:30:20.6647372Z ''')
2022-11-23T01:30:20.6647403Z 
2022-11-23T01:30:20.6647408Z 
2022-11-23T01:30:20.6647483Z async_compile.wait(globals())
2022-11-23T01:30:20.6647557Z del async_compile
2022-11-23T01:30:20.6647562Z 
2022-11-23T01:30:20.6647632Z def call(args):
2022-11-23T01:30:20.6647705Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6647775Z     args.clear()
2022-11-23T01:30:20.6647975Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6648137Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6648192Z     del arg0_1
2022-11-23T01:30:20.6648258Z     del arg1_1
2022-11-23T01:30:20.6648327Z     return (buf0, )
2022-11-23T01:30:20.6648333Z 
2022-11-23T01:30:20.6648337Z 
2022-11-23T01:30:20.6648411Z if __name__ == "__main__":
2022-11-23T01:30:20.6648524Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6648645Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6648854Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6649053Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6649153Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6649170Z 
2022-11-23T01:30:20.6649174Z 
2022-11-23T01:30:20.6649256Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6649325Z import torch
2022-11-23T01:30:20.6649395Z import random
2022-11-23T01:30:20.6649507Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6649625Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6649630Z 
2022-11-23T01:30:20.6649705Z aten = torch.ops.aten
2022-11-23T01:30:20.6649836Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6649914Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6649919Z 
2022-11-23T01:30:20.6649935Z 
2022-11-23T01:30:20.6650052Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6650260Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6650377Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6650479Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6650577Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6650636Z {
2022-11-23T01:30:20.6650734Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6650783Z     {
2022-11-23T01:30:20.6650859Z         #pragma omp for 
2022-11-23T01:30:20.6650939Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.6651000Z         {
2022-11-23T01:30:20.6651131Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6651260Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6651343Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6651421Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6651483Z         }
2022-11-23T01:30:20.6651577Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6651659Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:30:20.6651723Z         {
2022-11-23T01:30:20.6651805Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6651887Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6651955Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6652062Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6652125Z         }
2022-11-23T01:30:20.6652199Z     }
2022-11-23T01:30:20.6652285Z }
2022-11-23T01:30:20.6652409Z ''')
2022-11-23T01:30:20.6652419Z 
2022-11-23T01:30:20.6652425Z 
2022-11-23T01:30:20.6652612Z async_compile.wait(globals())
2022-11-23T01:30:20.6652745Z del async_compile
2022-11-23T01:30:20.6652752Z 
2022-11-23T01:30:20.6652890Z def call(args):
2022-11-23T01:30:20.6653036Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6653144Z     args.clear()
2022-11-23T01:30:20.6653521Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6653729Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6653807Z     del arg0_1
2022-11-23T01:30:20.6653887Z     del arg1_1
2022-11-23T01:30:20.6653968Z     return (buf0, )
2022-11-23T01:30:20.6653973Z 
2022-11-23T01:30:20.6653977Z 
2022-11-23T01:30:20.6654055Z if __name__ == "__main__":
2022-11-23T01:30:20.6654189Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6654309Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6654506Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6654697Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6654813Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6654818Z 
2022-11-23T01:30:20.6654822Z 
2022-11-23T01:30:20.6654915Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6654984Z import torch
2022-11-23T01:30:20.6655055Z import random
2022-11-23T01:30:20.6655171Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6655279Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6655296Z 
2022-11-23T01:30:20.6655362Z aten = torch.ops.aten
2022-11-23T01:30:20.6655493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6655586Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6655591Z 
2022-11-23T01:30:20.6655595Z 
2022-11-23T01:30:20.6655729Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6655935Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6656053Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6656157Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6656246Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6656309Z {
2022-11-23T01:30:20.6656543Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6656628Z     {
2022-11-23T01:30:20.6656710Z         #pragma omp for 
2022-11-23T01:30:20.6656794Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:30:20.6656860Z         {
2022-11-23T01:30:20.6656983Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6657117Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6657248Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6657336Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6657422Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6657517Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6657581Z         }
2022-11-23T01:30:20.6657676Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6657745Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:30:20.6657811Z         {
2022-11-23T01:30:20.6657895Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6657981Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6658083Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6658168Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6658255Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6658323Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6658388Z         }
2022-11-23T01:30:20.6658455Z     }
2022-11-23T01:30:20.6658584Z }
2022-11-23T01:30:20.6658669Z ''')
2022-11-23T01:30:20.6658675Z 
2022-11-23T01:30:20.6658680Z 
2022-11-23T01:30:20.6658771Z async_compile.wait(globals())
2022-11-23T01:30:20.6658844Z del async_compile
2022-11-23T01:30:20.6658849Z 
2022-11-23T01:30:20.6658906Z def call(args):
2022-11-23T01:30:20.6658982Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6659054Z     args.clear()
2022-11-23T01:30:20.6659250Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6659413Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6659519Z     del arg0_1
2022-11-23T01:30:20.6659586Z     del arg1_1
2022-11-23T01:30:20.6659644Z     return (buf0, )
2022-11-23T01:30:20.6659649Z 
2022-11-23T01:30:20.6659653Z 
2022-11-23T01:30:20.6659730Z if __name__ == "__main__":
2022-11-23T01:30:20.6659848Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6659979Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6660175Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6660368Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6660484Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6660489Z 
2022-11-23T01:30:20.6660859Z [2022-11-23 01:28:49,246] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sm/csmotrtgctxm3z5s4km3bzzh72wm2tny42ecrfhzcgzyseyzmgbf.py
2022-11-23T01:30:20.6661126Z [2022-11-23 01:28:49,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 431
2022-11-23T01:30:20.6661354Z [2022-11-23 01:28:49,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6661672Z [2022-11-23 01:28:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6661897Z [2022-11-23 01:28:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6662147Z [2022-11-23 01:28:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6662429Z [2022-11-23 01:28:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6662746Z [2022-11-23 01:28:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6663096Z [2022-11-23 01:28:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6663420Z [2022-11-23 01:28:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6663799Z [2022-11-23 01:28:49,252] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6663894Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6663974Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6664046Z               4 BINARY_ADD
2022-11-23T01:30:20.6664142Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6664234Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6664324Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6664413Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6664488Z              14 BINARY_ADD
2022-11-23T01:30:20.6664564Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6664642Z              18 RETURN_VALUE
2022-11-23T01:30:20.6664706Z  
2022-11-23T01:30:20.6664711Z 
2022-11-23T01:30:20.6665074Z [2022-11-23 01:28:49,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6665286Z [2022-11-23 01:28:49,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6665526Z [2022-11-23 01:28:49,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6665807Z [2022-11-23 01:28:49,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6666046Z [2022-11-23 01:28:49,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6666347Z [2022-11-23 01:28:49,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6666649Z [2022-11-23 01:28:49,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6666888Z [2022-11-23 01:28:49,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6667156Z [2022-11-23 01:28:49,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6667395Z [2022-11-23 01:28:49,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6667642Z [2022-11-23 01:28:49,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6668019Z [2022-11-23 01:28:49,256] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6668265Z [2022-11-23 01:28:49,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6668496Z [2022-11-23 01:28:49,256] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6668748Z [2022-11-23 01:28:49,257] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6668984Z [2022-11-23 01:28:49,261] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6669175Z [2022-11-23 01:28:49,261] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6669306Z  __compiled_fn_440 <eval_with_key>.3459 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6669395Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6669481Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6669652Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6669753Z call_method, view, view, (add, [5040]), {}
2022-11-23T01:30:20.6669934Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6670017Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6670022Z 
2022-11-23T01:30:20.6670348Z [2022-11-23 01:28:49,261] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6670442Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6670534Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6670622Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6670712Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6670798Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6670886Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6670949Z              12 RETURN_VALUE
2022-11-23T01:30:20.6670954Z 
2022-11-23T01:30:20.6671016Z  
2022-11-23T01:30:20.6671340Z [2022-11-23 01:28:49,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6671452Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_440)
2022-11-23T01:30:20.6671542Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6671669Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6671745Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6671821Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6671908Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6671982Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6672068Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6672171Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6672300Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6672395Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6672513Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6672596Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6672696Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6672784Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6672861Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6672951Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6673040Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6673137Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6673212Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6673288Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6673387Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6673480Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6673576Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6673666Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6673741Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6673904Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6673981Z              54 RETURN_VALUE
2022-11-23T01:30:20.6673986Z 
2022-11-23T01:30:20.6674046Z  
2022-11-23T01:30:20.6674236Z [2022-11-23 01:28:49,263] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6674307Z  - 
2022-11-23T01:30:20.6674425Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6674491Z             {
2022-11-23T01:30:20.6674621Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6674805Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6674924Z                 'obj_weakref': None
2022-11-23T01:30:20.6675154Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6675224Z             }
2022-11-23T01:30:20.6675291Z             
2022-11-23T01:30:20.6675360Z  - 
2022-11-23T01:30:20.6675472Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6675536Z             {
2022-11-23T01:30:20.6675679Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6675788Z                 'code': None,
2022-11-23T01:30:20.6676001Z                 'obj_weakref': <weakref at 0x7ff58fc479c0; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6676255Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6676317Z             }
2022-11-23T01:30:20.6676368Z             
2022-11-23T01:30:20.6676436Z  - 
2022-11-23T01:30:20.6676560Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6676625Z             {
2022-11-23T01:30:20.6676768Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6676873Z                 'code': None,
2022-11-23T01:30:20.6677084Z                 'obj_weakref': <weakref at 0x7ff57ee36bb0; to 'Tensor' at 0x7ff59c0c7970>
2022-11-23T01:30:20.6677329Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6677391Z             }
2022-11-23T01:30:20.6677453Z             
2022-11-23T01:30:20.6677522Z  - 
2022-11-23T01:30:20.6677699Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6677765Z             {
2022-11-23T01:30:20.6677899Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6678053Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6678170Z                 'obj_weakref': None
2022-11-23T01:30:20.6678399Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6678463Z             }
2022-11-23T01:30:20.6678525Z             
2022-11-23T01:30:20.6678593Z  - 
2022-11-23T01:30:20.6678714Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6678765Z             {
2022-11-23T01:30:20.6678929Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6679149Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6679266Z                 'obj_weakref': None
2022-11-23T01:30:20.6679491Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6679553Z             }
2022-11-23T01:30:20.6679617Z             
2022-11-23T01:30:20.6679672Z  - 
2022-11-23T01:30:20.6679853Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6679917Z             {
2022-11-23T01:30:20.6680082Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6680530Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:30:20.6680650Z                 'obj_weakref': None
2022-11-23T01:30:20.6680871Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6680932Z             }
2022-11-23T01:30:20.6680982Z             
2022-11-23T01:30:20.6681051Z  - 
2022-11-23T01:30:20.6681239Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6681304Z             {
2022-11-23T01:30:20.6681445Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6681733Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:30:20.6681849Z                 'obj_weakref': None
2022-11-23T01:30:20.6682058Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6682122Z             }
2022-11-23T01:30:20.6682183Z             
2022-11-23T01:30:20.6682446Z [2022-11-23 01:28:49,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 432
2022-11-23T01:30:20.6682818Z [2022-11-23 01:28:49,328] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ax/caxc34ardqysjhgkzn3qof7cpwlfanyca4eosyvmsts5zujlviyl.py
2022-11-23T01:30:20.6683084Z [2022-11-23 01:28:49,328] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 432
2022-11-23T01:30:20.6683319Z [2022-11-23 01:28:49,335] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6683636Z [2022-11-23 01:28:49,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6683854Z [2022-11-23 01:28:49,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6684095Z [2022-11-23 01:28:49,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6684375Z [2022-11-23 01:28:49,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6684698Z [2022-11-23 01:28:49,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6685104Z [2022-11-23 01:28:49,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6685429Z [2022-11-23 01:28:49,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6685803Z [2022-11-23 01:28:49,336] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6685894Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6686014Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6686106Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6686180Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6686269Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6686342Z              10 BINARY_ADD
2022-11-23T01:30:20.6686433Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6686509Z              14 RETURN_VALUE
2022-11-23T01:30:20.6686570Z  
2022-11-23T01:30:20.6686579Z 
2022-11-23T01:30:20.6686888Z [2022-11-23 01:28:49,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6687097Z [2022-11-23 01:28:49,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6687327Z [2022-11-23 01:28:49,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6687607Z [2022-11-23 01:28:49,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6687915Z [2022-11-23 01:28:49,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6688151Z [2022-11-23 01:28:49,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6688422Z [2022-11-23 01:28:49,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6688662Z [2022-11-23 01:28:49,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6688903Z [2022-11-23 01:28:49,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6689278Z [2022-11-23 01:28:49,341] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6689523Z [2022-11-23 01:28:49,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6689755Z [2022-11-23 01:28:49,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6689998Z [2022-11-23 01:28:49,343] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6690247Z [2022-11-23 01:28:49,346] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6690435Z [2022-11-23 01:28:49,347] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6690568Z  __compiled_fn_441 <eval_with_key>.3465 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6690655Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6690741Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6690841Z call_method, view, view, (ex_0_, [6, 4, 5, 42]), {}
2022-11-23T01:30:20.6691021Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6691103Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6691108Z 
2022-11-23T01:30:20.6691431Z [2022-11-23 01:28:49,347] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6691551Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6691643Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6691729Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6691820Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6691904Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6691991Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6692053Z              12 RETURN_VALUE
2022-11-23T01:30:20.6692059Z 
2022-11-23T01:30:20.6692118Z  
2022-11-23T01:30:20.6692439Z [2022-11-23 01:28:49,347] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6692603Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_441)
2022-11-23T01:30:20.6692692Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6692781Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6692859Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6692936Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6693021Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6693096Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6693182Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6693286Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6693415Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6693513Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6693602Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6693688Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6693790Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6693879Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6693957Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6694045Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6694137Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6694235Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6694310Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6694385Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6694485Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6694574Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6694669Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6694754Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6694830Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6694919Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6694992Z              54 RETURN_VALUE
2022-11-23T01:30:20.6694998Z 
2022-11-23T01:30:20.6695057Z  
2022-11-23T01:30:20.6695242Z [2022-11-23 01:28:49,349] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6695313Z  - 
2022-11-23T01:30:20.6695430Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6695494Z             {
2022-11-23T01:30:20.6695622Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6695807Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6695924Z                 'obj_weakref': None
2022-11-23T01:30:20.6696146Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6696210Z             }
2022-11-23T01:30:20.6696273Z             
2022-11-23T01:30:20.6696341Z  - 
2022-11-23T01:30:20.6696615Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6696682Z             {
2022-11-23T01:30:20.6696831Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6696938Z                 'code': None,
2022-11-23T01:30:20.6697152Z                 'obj_weakref': <weakref at 0x7ff58ff17880; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6697468Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6697533Z             }
2022-11-23T01:30:20.6697584Z             
2022-11-23T01:30:20.6697657Z  - 
2022-11-23T01:30:20.6697783Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6697849Z             {
2022-11-23T01:30:20.6697994Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6698101Z                 'code': None,
2022-11-23T01:30:20.6698315Z                 'obj_weakref': <weakref at 0x7ff5a8c2cb80; to 'Tensor' at 0x7ff58fc47150>
2022-11-23T01:30:20.6698555Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6698655Z             }
2022-11-23T01:30:20.6698719Z             
2022-11-23T01:30:20.6698795Z  - 
2022-11-23T01:30:20.6698927Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6698991Z             {
2022-11-23T01:30:20.6699133Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6699288Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6699408Z                 'obj_weakref': None
2022-11-23T01:30:20.6699636Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6699704Z             }
2022-11-23T01:30:20.6699772Z             
2022-11-23T01:30:20.6699843Z  - 
2022-11-23T01:30:20.6699966Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6700018Z             {
2022-11-23T01:30:20.6700156Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6700379Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6700503Z                 'obj_weakref': None
2022-11-23T01:30:20.6700724Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6700790Z             }
2022-11-23T01:30:20.6700859Z             
2022-11-23T01:30:20.6700916Z  - 
2022-11-23T01:30:20.6701100Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6701166Z             {
2022-11-23T01:30:20.6701337Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6702072Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:30:20.6702198Z                 'obj_weakref': None
2022-11-23T01:30:20.6702418Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6702487Z             }
2022-11-23T01:30:20.6702551Z             
2022-11-23T01:30:20.6702609Z  - 
2022-11-23T01:30:20.6702792Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6702857Z             {
2022-11-23T01:30:20.6703001Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6703282Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:30:20.6703403Z                 'obj_weakref': None
2022-11-23T01:30:20.6703624Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6703678Z             }
2022-11-23T01:30:20.6703742Z             
2022-11-23T01:30:20.6703812Z  - 
2022-11-23T01:30:20.6703996Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6704063Z             {
2022-11-23T01:30:20.6704206Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6704523Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:30:20.6704631Z                 'obj_weakref': None
2022-11-23T01:30:20.6704853Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6704918Z             }
2022-11-23T01:30:20.6704985Z             
2022-11-23T01:30:20.6705055Z  - 
2022-11-23T01:30:20.6705241Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6705307Z             {
2022-11-23T01:30:20.6705467Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6705749Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:30:20.6705871Z                 'obj_weakref': None
2022-11-23T01:30:20.6706089Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6706152Z             }
2022-11-23T01:30:20.6706215Z             
2022-11-23T01:30:20.6706282Z  - 
2022-11-23T01:30:20.6706464Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6706515Z             {
2022-11-23T01:30:20.6706654Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6706935Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:30:20.6707054Z                 'obj_weakref': None
2022-11-23T01:30:20.6707275Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6707338Z             }
2022-11-23T01:30:20.6707399Z             
2022-11-23T01:30:20.6707646Z [2022-11-23 01:28:49,355] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 433
2022-11-23T01:30:20.6708015Z [2022-11-23 01:28:49,377] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c23oc4rigft6m7xt5tufugzijegso3achtueyj5verosztfuq7gs.py
2022-11-23T01:30:20.6708279Z [2022-11-23 01:28:49,377] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 433
2022-11-23T01:30:20.6708513Z [2022-11-23 01:28:49,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6708822Z [2022-11-23 01:28:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6709037Z [2022-11-23 01:28:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6709293Z [2022-11-23 01:28:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6709573Z [2022-11-23 01:28:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6709904Z [2022-11-23 01:28:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6710253Z [2022-11-23 01:28:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6710567Z [2022-11-23 01:28:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6710941Z [2022-11-23 01:28:49,385] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6711035Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6711123Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6711197Z               4 BINARY_ADD
2022-11-23T01:30:20.6711324Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6711417Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6711503Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6711580Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6711653Z              14 BINARY_ADD
2022-11-23T01:30:20.6711740Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6711815Z              18 RETURN_VALUE
2022-11-23T01:30:20.6711875Z  
2022-11-23T01:30:20.6711881Z 
2022-11-23T01:30:20.6712195Z [2022-11-23 01:28:49,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6712430Z [2022-11-23 01:28:49,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6712670Z [2022-11-23 01:28:49,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6712938Z [2022-11-23 01:28:49,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6713177Z [2022-11-23 01:28:49,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6713458Z [2022-11-23 01:28:49,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6713760Z [2022-11-23 01:28:49,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6714070Z [2022-11-23 01:28:49,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6714342Z [2022-11-23 01:28:49,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6714581Z [2022-11-23 01:28:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6714827Z [2022-11-23 01:28:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6715204Z [2022-11-23 01:28:49,390] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6715447Z [2022-11-23 01:28:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6715667Z [2022-11-23 01:28:49,390] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6715920Z [2022-11-23 01:28:49,392] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6716169Z [2022-11-23 01:28:49,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6716355Z [2022-11-23 01:28:49,398] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6716493Z  __compiled_fn_442 <eval_with_key>.3471 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6716583Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6716667Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6716841Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6716930Z call_method, view, view, (add, [6, 4, 5, 42]), {}
2022-11-23T01:30:20.6717108Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6717207Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6717212Z 
2022-11-23T01:30:20.6717536Z [2022-11-23 01:28:49,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6717631Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6717721Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6717808Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6717899Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6718010Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6718098Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6718173Z              12 RETURN_VALUE
2022-11-23T01:30:20.6718178Z 
2022-11-23T01:30:20.6718240Z  
2022-11-23T01:30:20.6718558Z [2022-11-23 01:28:49,399] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6718666Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_442)
2022-11-23T01:30:20.6718754Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6718858Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6718935Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6719021Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6719107Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6719181Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6719268Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6719370Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6719498Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6719581Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6719668Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6719762Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6719862Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6719950Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6720026Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6720114Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6720192Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6720289Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6720377Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6720455Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6720556Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6720645Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6720739Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6720813Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6720887Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6720986Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6721060Z              54 RETURN_VALUE
2022-11-23T01:30:20.6721065Z 
2022-11-23T01:30:20.6721127Z  
2022-11-23T01:30:20.6721317Z [2022-11-23 01:28:49,401] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6721387Z  - 
2022-11-23T01:30:20.6721492Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6721556Z             {
2022-11-23T01:30:20.6721695Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6721885Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6722004Z                 'obj_weakref': None
2022-11-23T01:30:20.6722227Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6722290Z             }
2022-11-23T01:30:20.6722340Z             
2022-11-23T01:30:20.6722406Z  - 
2022-11-23T01:30:20.6722528Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6722591Z             {
2022-11-23T01:30:20.6722733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6722837Z                 'code': None,
2022-11-23T01:30:20.6723046Z                 'obj_weakref': <weakref at 0x7ff58fe5a4d0; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6723289Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6723351Z             }
2022-11-23T01:30:20.6723413Z             
2022-11-23T01:30:20.6723484Z  - 
2022-11-23T01:30:20.6723606Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6723697Z             {
2022-11-23T01:30:20.6723839Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6723931Z                 'code': None,
2022-11-23T01:30:20.6724139Z                 'obj_weakref': <weakref at 0x7ff58f97c5e0; to 'Tensor' at 0x7ff58fda7600>
2022-11-23T01:30:20.6724390Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6724453Z             }
2022-11-23T01:30:20.6724514Z             
2022-11-23T01:30:20.6724581Z  - 
2022-11-23T01:30:20.6724710Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6724786Z             {
2022-11-23T01:30:20.6724925Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6725091Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6725208Z                 'obj_weakref': None
2022-11-23T01:30:20.6725439Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6725501Z             }
2022-11-23T01:30:20.6725562Z             
2022-11-23T01:30:20.6725617Z  - 
2022-11-23T01:30:20.6725738Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6725799Z             {
2022-11-23T01:30:20.6725935Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6726149Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6726264Z                 'obj_weakref': None
2022-11-23T01:30:20.6726482Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6726545Z             }
2022-11-23T01:30:20.6726595Z             
2022-11-23T01:30:20.6726664Z  - 
2022-11-23T01:30:20.6726840Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6726902Z             {
2022-11-23T01:30:20.6727066Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6727811Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:30:20.6727930Z                 'obj_weakref': None
2022-11-23T01:30:20.6728149Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6728201Z             }
2022-11-23T01:30:20.6728263Z             
2022-11-23T01:30:20.6728330Z  - 
2022-11-23T01:30:20.6728512Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6728576Z             {
2022-11-23T01:30:20.6728720Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6729002Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:30:20.6729107Z                 'obj_weakref': None
2022-11-23T01:30:20.6729323Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6729385Z             }
2022-11-23T01:30:20.6729447Z             
2022-11-23T01:30:20.6729514Z  - 
2022-11-23T01:30:20.6729696Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6729758Z             {
2022-11-23T01:30:20.6729888Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6730169Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:30:20.6730286Z                 'obj_weakref': None
2022-11-23T01:30:20.6730546Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6730610Z             }
2022-11-23T01:30:20.6730672Z             
2022-11-23T01:30:20.6730741Z  - 
2022-11-23T01:30:20.6730911Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6730973Z             {
2022-11-23T01:30:20.6731112Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6731391Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:30:20.6731508Z                 'obj_weakref': None
2022-11-23T01:30:20.6731759Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6731820Z             }
2022-11-23T01:30:20.6731881Z             
2022-11-23T01:30:20.6731937Z  - 
2022-11-23T01:30:20.6732117Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6732180Z             {
2022-11-23T01:30:20.6732324Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6732613Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:30:20.6732728Z                 'obj_weakref': None
2022-11-23T01:30:20.6732945Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6732995Z             }
2022-11-23T01:30:20.6733055Z             
2022-11-23T01:30:20.6733316Z [2022-11-23 01:28:49,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 434
2022-11-23T01:30:20.6733681Z [2022-11-23 01:28:49,479] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3f/c3fqlatyoyf5635ctn6vwpxmb556cs74qrsipa4sxn6qvv436ii4.py
2022-11-23T01:30:20.6733944Z [2022-11-23 01:28:49,479] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 434
2022-11-23T01:30:20.6734185Z [2022-11-23 01:28:49,484] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6734498Z [2022-11-23 01:28:49,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6734713Z [2022-11-23 01:28:49,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6734965Z [2022-11-23 01:28:49,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6735227Z [2022-11-23 01:28:49,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6735549Z [2022-11-23 01:28:49,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6735894Z [2022-11-23 01:28:49,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6736214Z [2022-11-23 01:28:49,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6736751Z [2022-11-23 01:28:49,485] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6736848Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6736943Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6737038Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6737128Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6737205Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6737278Z              10 BINARY_ADD
2022-11-23T01:30:20.6737367Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6737500Z              14 RETURN_VALUE
2022-11-23T01:30:20.6737562Z  
2022-11-23T01:30:20.6737568Z 
2022-11-23T01:30:20.6737885Z [2022-11-23 01:28:49,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6738094Z [2022-11-23 01:28:49,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6738337Z [2022-11-23 01:28:49,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6738607Z [2022-11-23 01:28:49,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6738950Z [2022-11-23 01:28:49,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6739188Z [2022-11-23 01:28:49,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6739459Z [2022-11-23 01:28:49,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6739696Z [2022-11-23 01:28:49,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6739939Z [2022-11-23 01:28:49,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6740319Z [2022-11-23 01:28:49,488] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6740563Z [2022-11-23 01:28:49,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6740795Z [2022-11-23 01:28:49,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6741046Z [2022-11-23 01:28:49,489] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6741282Z [2022-11-23 01:28:49,492] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6741468Z [2022-11-23 01:28:49,492] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6741601Z  __compiled_fn_443 <eval_with_key>.3477 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6741690Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6741775Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6741872Z call_method, view, view, (ex_0_, [50, 20]), {}
2022-11-23T01:30:20.6742048Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6742143Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6742149Z 
2022-11-23T01:30:20.6742459Z [2022-11-23 01:28:49,492] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6742551Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6742643Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6742728Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6742826Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6742915Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6743004Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6743068Z              12 RETURN_VALUE
2022-11-23T01:30:20.6743088Z 
2022-11-23T01:30:20.6743136Z  
2022-11-23T01:30:20.6743455Z [2022-11-23 01:28:49,493] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6743566Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_443)
2022-11-23T01:30:20.6743658Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6743748Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6743826Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6743919Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6744024Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6744101Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6744191Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6744296Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6744425Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6744522Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6744613Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6744696Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6744825Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6744915Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6744993Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6745083Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6745173Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6745274Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6745363Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6745425Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6745528Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6745619Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6745718Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6745807Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6745885Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6745986Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6746049Z              54 RETURN_VALUE
2022-11-23T01:30:20.6746055Z 
2022-11-23T01:30:20.6746119Z  
2022-11-23T01:30:20.6746307Z [2022-11-23 01:28:49,494] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6746381Z  - 
2022-11-23T01:30:20.6746504Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6746572Z             {
2022-11-23T01:30:20.6746714Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6746886Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6747007Z                 'obj_weakref': None
2022-11-23T01:30:20.6747232Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6747299Z             }
2022-11-23T01:30:20.6747366Z             
2022-11-23T01:30:20.6747435Z  - 
2022-11-23T01:30:20.6747560Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6747611Z             {
2022-11-23T01:30:20.6747754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6747862Z                 'code': None,
2022-11-23T01:30:20.6748073Z                 'obj_weakref': <weakref at 0x7ff58ff15ee0; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6748329Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6748394Z             }
2022-11-23T01:30:20.6748456Z             
2022-11-23T01:30:20.6748511Z  - 
2022-11-23T01:30:20.6748632Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6748696Z             {
2022-11-23T01:30:20.6748837Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6748945Z                 'code': None,
2022-11-23T01:30:20.6749156Z                 'obj_weakref': <weakref at 0x7ff6383f62f0; to 'Tensor' at 0x7ff58fc8f4c0>
2022-11-23T01:30:20.6749405Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6749460Z             }
2022-11-23T01:30:20.6749523Z             
2022-11-23T01:30:20.6749594Z  - 
2022-11-23T01:30:20.6749727Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6749790Z             {
2022-11-23T01:30:20.6749923Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6750118Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6750224Z                 'obj_weakref': None
2022-11-23T01:30:20.6750450Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6750513Z             }
2022-11-23T01:30:20.6750576Z             
2022-11-23T01:30:20.6750643Z  - 
2022-11-23T01:30:20.6750763Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6750824Z             {
2022-11-23T01:30:20.6750946Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6751159Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6751305Z                 'obj_weakref': None
2022-11-23T01:30:20.6751524Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6751586Z             }
2022-11-23T01:30:20.6751647Z             
2022-11-23T01:30:20.6751713Z  - 
2022-11-23T01:30:20.6751879Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6751940Z             {
2022-11-23T01:30:20.6752109Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6752660Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:30:20.6752777Z                 'obj_weakref': None
2022-11-23T01:30:20.6752996Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6753065Z             }
2022-11-23T01:30:20.6753126Z             
2022-11-23T01:30:20.6753181Z  - 
2022-11-23T01:30:20.6753363Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6753425Z             {
2022-11-23T01:30:20.6753568Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6753931Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:30:20.6754053Z                 'obj_weakref': None
2022-11-23T01:30:20.6754273Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6754323Z             }
2022-11-23T01:30:20.6754387Z             
2022-11-23T01:30:20.6754456Z  - 
2022-11-23T01:30:20.6754636Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6754701Z             {
2022-11-23T01:30:20.6754841Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6755123Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:30:20.6755240Z                 'obj_weakref': None
2022-11-23T01:30:20.6755450Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6755514Z             }
2022-11-23T01:30:20.6755576Z             
2022-11-23T01:30:20.6755835Z [2022-11-23 01:28:49,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 435
2022-11-23T01:30:20.6755840Z 
2022-11-23T01:30:20.6755934Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6756002Z import torch
2022-11-23T01:30:20.6756069Z import random
2022-11-23T01:30:20.6756172Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6756292Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6756300Z 
2022-11-23T01:30:20.6756376Z aten = torch.ops.aten
2022-11-23T01:30:20.6756509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6756600Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6756605Z 
2022-11-23T01:30:20.6756609Z 
2022-11-23T01:30:20.6756772Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6756976Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6757096Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6757188Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6757286Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6757346Z {
2022-11-23T01:30:20.6757442Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6757504Z     {
2022-11-23T01:30:20.6757579Z         #pragma omp for 
2022-11-23T01:30:20.6757660Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:30:20.6757740Z         {
2022-11-23T01:30:20.6757887Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6758017Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6758103Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6758194Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6758258Z         }
2022-11-23T01:30:20.6758351Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6758425Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:30:20.6758486Z         {
2022-11-23T01:30:20.6758569Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6758650Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6758730Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6758808Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6758869Z         }
2022-11-23T01:30:20.6758919Z     }
2022-11-23T01:30:20.6758978Z }
2022-11-23T01:30:20.6759056Z ''')
2022-11-23T01:30:20.6759064Z 
2022-11-23T01:30:20.6759068Z 
2022-11-23T01:30:20.6759157Z async_compile.wait(globals())
2022-11-23T01:30:20.6759229Z del async_compile
2022-11-23T01:30:20.6759234Z 
2022-11-23T01:30:20.6759303Z def call(args):
2022-11-23T01:30:20.6759377Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6759435Z     args.clear()
2022-11-23T01:30:20.6759633Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6759796Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6759863Z     del arg0_1
2022-11-23T01:30:20.6759928Z     del arg1_1
2022-11-23T01:30:20.6759998Z     return (buf0, )
2022-11-23T01:30:20.6760003Z 
2022-11-23T01:30:20.6760007Z 
2022-11-23T01:30:20.6760081Z if __name__ == "__main__":
2022-11-23T01:30:20.6760193Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6760304Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6760536Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6760734Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6760846Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6760851Z 
2022-11-23T01:30:20.6760856Z 
2022-11-23T01:30:20.6760951Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6761021Z import torch
2022-11-23T01:30:20.6761089Z import random
2022-11-23T01:30:20.6761201Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6761306Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6761311Z 
2022-11-23T01:30:20.6761387Z aten = torch.ops.aten
2022-11-23T01:30:20.6761518Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6761607Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6761612Z 
2022-11-23T01:30:20.6761616Z 
2022-11-23T01:30:20.6761746Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6761952Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6762068Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6762171Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6762258Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6762350Z {
2022-11-23T01:30:20.6762448Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6762510Z     {
2022-11-23T01:30:20.6762585Z         #pragma omp for 
2022-11-23T01:30:20.6762666Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:30:20.6762727Z         {
2022-11-23T01:30:20.6762847Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6762976Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6763103Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6763188Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6763296Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6763386Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6763449Z         }
2022-11-23T01:30:20.6763530Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6763616Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:30:20.6763678Z         {
2022-11-23T01:30:20.6763764Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6763845Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6763942Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6764024Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6764093Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6764170Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6764230Z         }
2022-11-23T01:30:20.6764292Z     }
2022-11-23T01:30:20.6764351Z }
2022-11-23T01:30:20.6764427Z ''')
2022-11-23T01:30:20.6764433Z 
2022-11-23T01:30:20.6764437Z 
2022-11-23T01:30:20.6764527Z async_compile.wait(globals())
2022-11-23T01:30:20.6764590Z del async_compile
2022-11-23T01:30:20.6764608Z 
2022-11-23T01:30:20.6764665Z def call(args):
2022-11-23T01:30:20.6764739Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6764809Z     args.clear()
2022-11-23T01:30:20.6765004Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6765165Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6765232Z     del arg0_1
2022-11-23T01:30:20.6765297Z     del arg1_1
2022-11-23T01:30:20.6765355Z     return (buf0, )
2022-11-23T01:30:20.6765360Z 
2022-11-23T01:30:20.6765364Z 
2022-11-23T01:30:20.6765439Z if __name__ == "__main__":
2022-11-23T01:30:20.6765551Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6765671Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6765906Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6766102Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6766216Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6766221Z 
2022-11-23T01:30:20.6766225Z 
2022-11-23T01:30:20.6766316Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6766372Z import torch
2022-11-23T01:30:20.6766443Z import random
2022-11-23T01:30:20.6766555Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6766673Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6766678Z 
2022-11-23T01:30:20.6766755Z aten = torch.ops.aten
2022-11-23T01:30:20.6766886Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6766975Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6766979Z 
2022-11-23T01:30:20.6766984Z 
2022-11-23T01:30:20.6767113Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6767304Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6767425Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6767528Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6767627Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6767687Z {
2022-11-23T01:30:20.6767783Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6767891Z     {
2022-11-23T01:30:20.6767957Z         #pragma omp for 
2022-11-23T01:30:20.6768038Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:30:20.6768101Z         {
2022-11-23T01:30:20.6768232Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6768360Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6768443Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6768531Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6768581Z         }
2022-11-23T01:30:20.6768672Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6768786Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:30:20.6768851Z         {
2022-11-23T01:30:20.6768934Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6769015Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6769098Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6769164Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6769225Z         }
2022-11-23T01:30:20.6769287Z     }
2022-11-23T01:30:20.6769348Z }
2022-11-23T01:30:20.6769424Z ''')
2022-11-23T01:30:20.6769429Z 
2022-11-23T01:30:20.6769433Z 
2022-11-23T01:30:20.6769520Z async_compile.wait(globals())
2022-11-23T01:30:20.6769591Z del async_compile
2022-11-23T01:30:20.6769595Z 
2022-11-23T01:30:20.6769652Z def call(args):
2022-11-23T01:30:20.6769725Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6769795Z     args.clear()
2022-11-23T01:30:20.6770010Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6770169Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6770239Z     del arg0_1
2022-11-23T01:30:20.6770305Z     del arg1_1
2022-11-23T01:30:20.6770363Z     return (buf0, )
2022-11-23T01:30:20.6770380Z 
2022-11-23T01:30:20.6770384Z 
2022-11-23T01:30:20.6770446Z if __name__ == "__main__":
2022-11-23T01:30:20.6770562Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6770681Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6770914Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6771126Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6771238Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6771243Z 
2022-11-23T01:30:20.6771247Z 
2022-11-23T01:30:20.6771339Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6771406Z import torch
2022-11-23T01:30:20.6771465Z import random
2022-11-23T01:30:20.6771578Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6771695Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6771700Z 
2022-11-23T01:30:20.6771777Z aten = torch.ops.aten
2022-11-23T01:30:20.6771909Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6772001Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6772006Z 
2022-11-23T01:30:20.6772010Z 
2022-11-23T01:30:20.6772140Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6772341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6772446Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6772548Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6772648Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6772709Z {
2022-11-23T01:30:20.6772805Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6772868Z     {
2022-11-23T01:30:20.6772943Z         #pragma omp for 
2022-11-23T01:30:20.6773012Z         for(long i0=0; i0<630; i0+=1)
2022-11-23T01:30:20.6773072Z         {
2022-11-23T01:30:20.6773203Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6773385Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6773514Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6773598Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6773677Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6773766Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6773816Z         }
2022-11-23T01:30:20.6773909Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6773993Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:30:20.6774057Z         {
2022-11-23T01:30:20.6774141Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6774255Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6774341Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6774424Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6774506Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6774591Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6774656Z         }
2022-11-23T01:30:20.6774721Z     }
2022-11-23T01:30:20.6774782Z }
2022-11-23T01:30:20.6774850Z ''')
2022-11-23T01:30:20.6774855Z 
2022-11-23T01:30:20.6774859Z 
2022-11-23T01:30:20.6774949Z async_compile.wait(globals())
2022-11-23T01:30:20.6775023Z del async_compile
2022-11-23T01:30:20.6775028Z 
2022-11-23T01:30:20.6775100Z def call(args):
2022-11-23T01:30:20.6775176Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6775248Z     args.clear()
2022-11-23T01:30:20.6775467Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6775628Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6775686Z     del arg0_1
2022-11-23T01:30:20.6775754Z     del arg1_1
2022-11-23T01:30:20.6775827Z     return (buf0, )
2022-11-23T01:30:20.6775832Z 
2022-11-23T01:30:20.6775835Z 
2022-11-23T01:30:20.6775913Z if __name__ == "__main__":
2022-11-23T01:30:20.6776027Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6776150Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6776386Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6776790Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6776893Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6776898Z 
2022-11-23T01:30:20.6777273Z [2022-11-23 01:28:49,514] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s4/cs4ovbjhkcmy332qoatfbf4iickboahfoezpi7u7pn4n4incbjb6.py
2022-11-23T01:30:20.6777543Z [2022-11-23 01:28:49,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 435
2022-11-23T01:30:20.6777781Z [2022-11-23 01:28:49,519] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6778104Z [2022-11-23 01:28:49,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6778323Z [2022-11-23 01:28:49,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6778575Z [2022-11-23 01:28:49,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6778854Z [2022-11-23 01:28:49,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6779175Z [2022-11-23 01:28:49,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6779525Z [2022-11-23 01:28:49,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6779893Z [2022-11-23 01:28:49,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6780269Z [2022-11-23 01:28:49,520] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6780361Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6780454Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6780529Z               4 BINARY_ADD
2022-11-23T01:30:20.6780623Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6780715Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6780803Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6780917Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6780991Z              14 BINARY_ADD
2022-11-23T01:30:20.6781081Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6781158Z              18 RETURN_VALUE
2022-11-23T01:30:20.6781220Z  
2022-11-23T01:30:20.6781225Z 
2022-11-23T01:30:20.6781544Z [2022-11-23 01:28:49,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6781755Z [2022-11-23 01:28:49,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6781997Z [2022-11-23 01:28:49,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6782263Z [2022-11-23 01:28:49,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6782505Z [2022-11-23 01:28:49,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6782787Z [2022-11-23 01:28:49,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6783089Z [2022-11-23 01:28:49,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6783327Z [2022-11-23 01:28:49,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6783595Z [2022-11-23 01:28:49,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6783836Z [2022-11-23 01:28:49,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6784079Z [2022-11-23 01:28:49,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6784454Z [2022-11-23 01:28:49,525] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6784703Z [2022-11-23 01:28:49,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6784924Z [2022-11-23 01:28:49,525] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6785173Z [2022-11-23 01:28:49,528] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6785422Z [2022-11-23 01:28:49,533] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6785612Z [2022-11-23 01:28:49,533] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6785744Z  __compiled_fn_444 <eval_with_key>.3483 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6785831Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6785917Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6786090Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6786176Z call_method, view, view, (add, [50, 20]), {}
2022-11-23T01:30:20.6786353Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6786448Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6786454Z 
2022-11-23T01:30:20.6786804Z [2022-11-23 01:28:49,534] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6786896Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6786986Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6787072Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6787163Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6787235Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6787321Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6787421Z              12 RETURN_VALUE
2022-11-23T01:30:20.6787427Z 
2022-11-23T01:30:20.6787487Z  
2022-11-23T01:30:20.6787806Z [2022-11-23 01:28:49,534] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6787913Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_444)
2022-11-23T01:30:20.6788005Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6788081Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6788157Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6788244Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6788329Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6788405Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6788491Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6788592Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6788706Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6788803Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6788895Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6788989Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6789087Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6789175Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6789252Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6789337Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6789417Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6789512Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6789599Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6789672Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6789771Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6789860Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6789958Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6790032Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6790106Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6790203Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6790278Z              54 RETURN_VALUE
2022-11-23T01:30:20.6790283Z 
2022-11-23T01:30:20.6790342Z  
2022-11-23T01:30:20.6790524Z [2022-11-23 01:28:49,536] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6790593Z  - 
2022-11-23T01:30:20.6790699Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6790761Z             {
2022-11-23T01:30:20.6790901Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6791085Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6791203Z                 'obj_weakref': None
2022-11-23T01:30:20.6791427Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6791492Z             }
2022-11-23T01:30:20.6791543Z             
2022-11-23T01:30:20.6791610Z  - 
2022-11-23T01:30:20.6791732Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6791794Z             {
2022-11-23T01:30:20.6791935Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6792093Z                 'code': None,
2022-11-23T01:30:20.6792307Z                 'obj_weakref': <weakref at 0x7ff58fda5c10; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6792548Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6792610Z             }
2022-11-23T01:30:20.6792672Z             
2022-11-23T01:30:20.6792740Z  - 
2022-11-23T01:30:20.6792861Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6792923Z             {
2022-11-23T01:30:20.6793063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6793155Z                 'code': None,
2022-11-23T01:30:20.6793392Z                 'obj_weakref': <weakref at 0x7ff58fe9b060; to 'Tensor' at 0x7ff58fc8f4c0>
2022-11-23T01:30:20.6793644Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6793707Z             }
2022-11-23T01:30:20.6793770Z             
2022-11-23T01:30:20.6793903Z  - 
2022-11-23T01:30:20.6794037Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6794086Z             {
2022-11-23T01:30:20.6794219Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6794390Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6794512Z                 'obj_weakref': None
2022-11-23T01:30:20.6794744Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6794808Z             }
2022-11-23T01:30:20.6794870Z             
2022-11-23T01:30:20.6794926Z  - 
2022-11-23T01:30:20.6795049Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6795113Z             {
2022-11-23T01:30:20.6795246Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6795464Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6795582Z                 'obj_weakref': None
2022-11-23T01:30:20.6795806Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6795857Z             }
2022-11-23T01:30:20.6795919Z             
2022-11-23T01:30:20.6795990Z  - 
2022-11-23T01:30:20.6796165Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6796228Z             {
2022-11-23T01:30:20.6796394Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6796943Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:30:20.6797064Z                 'obj_weakref': None
2022-11-23T01:30:20.6797272Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6797337Z             }
2022-11-23T01:30:20.6797398Z             
2022-11-23T01:30:20.6797466Z  - 
2022-11-23T01:30:20.6797647Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6797708Z             {
2022-11-23T01:30:20.6797848Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6798119Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:30:20.6798235Z                 'obj_weakref': None
2022-11-23T01:30:20.6798454Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6798520Z             }
2022-11-23T01:30:20.6798581Z             
2022-11-23T01:30:20.6798650Z  - 
2022-11-23T01:30:20.6798831Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6798882Z             {
2022-11-23T01:30:20.6799051Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6799335Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:30:20.6799453Z                 'obj_weakref': None
2022-11-23T01:30:20.6799671Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6799736Z             }
2022-11-23T01:30:20.6799797Z             
2022-11-23T01:30:20.6800058Z [2022-11-23 01:28:49,546] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 436
2022-11-23T01:30:20.6800408Z [2022-11-23 01:28:49,585] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3h/c3hs3e5zu2uoyrbgeph5jwfr2ixe35uvjtettkqii7zb7ufo2jh6.py
2022-11-23T01:30:20.6800696Z [2022-11-23 01:28:49,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 436
2022-11-23T01:30:20.6800930Z [2022-11-23 01:28:49,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6801245Z [2022-11-23 01:28:49,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6801459Z [2022-11-23 01:28:49,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6801709Z [2022-11-23 01:28:49,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6801986Z [2022-11-23 01:28:49,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6802304Z [2022-11-23 01:28:49,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6802651Z [2022-11-23 01:28:49,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6802975Z [2022-11-23 01:28:49,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6803335Z [2022-11-23 01:28:49,592] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6803426Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6803518Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6803610Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6803697Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6803784Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6803855Z              10 BINARY_ADD
2022-11-23T01:30:20.6803942Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6804004Z              14 RETURN_VALUE
2022-11-23T01:30:20.6804063Z  
2022-11-23T01:30:20.6804071Z 
2022-11-23T01:30:20.6804382Z [2022-11-23 01:28:49,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6804589Z [2022-11-23 01:28:49,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6804826Z [2022-11-23 01:28:49,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6805108Z [2022-11-23 01:28:49,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6805410Z [2022-11-23 01:28:49,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6805644Z [2022-11-23 01:28:49,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6805939Z [2022-11-23 01:28:49,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6806167Z [2022-11-23 01:28:49,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6806410Z [2022-11-23 01:28:49,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6806784Z [2022-11-23 01:28:49,597] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6807025Z [2022-11-23 01:28:49,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6807283Z [2022-11-23 01:28:49,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6807533Z [2022-11-23 01:28:49,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6807782Z [2022-11-23 01:28:49,605] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6807968Z [2022-11-23 01:28:49,605] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6808101Z  __compiled_fn_445 <eval_with_key>.3489 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6808176Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6808262Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6808361Z call_method, view, view, (ex_0_, [1, 10, 1]), {}
2022-11-23T01:30:20.6808537Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6808630Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6808638Z 
2022-11-23T01:30:20.6808962Z [2022-11-23 01:28:49,606] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6809053Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6809143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6809219Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6809310Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6809394Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6809481Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6809555Z              12 RETURN_VALUE
2022-11-23T01:30:20.6809561Z 
2022-11-23T01:30:20.6809622Z  
2022-11-23T01:30:20.6809943Z [2022-11-23 01:28:49,606] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6810051Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_445)
2022-11-23T01:30:20.6810131Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6810220Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6810295Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6810384Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6810472Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6810546Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6810632Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6810721Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6810848Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6810942Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6811031Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6811124Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6811222Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6811311Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6811373Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6811459Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6811549Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6811674Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6811764Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6811838Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6811937Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6812014Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6812110Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6812194Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6812269Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6812368Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6812468Z              54 RETURN_VALUE
2022-11-23T01:30:20.6812474Z 
2022-11-23T01:30:20.6812533Z  
2022-11-23T01:30:20.6812717Z [2022-11-23 01:28:49,608] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6812774Z  - 
2022-11-23T01:30:20.6812891Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6812955Z             {
2022-11-23T01:30:20.6813098Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6813282Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6813399Z                 'obj_weakref': None
2022-11-23T01:30:20.6813622Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6813674Z             }
2022-11-23T01:30:20.6813738Z             
2022-11-23T01:30:20.6813806Z  - 
2022-11-23T01:30:20.6813929Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6813991Z             {
2022-11-23T01:30:20.6814131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6814227Z                 'code': None,
2022-11-23T01:30:20.6814437Z                 'obj_weakref': <weakref at 0x7ff57ed65990; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6814687Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6814750Z             }
2022-11-23T01:30:20.6814815Z             
2022-11-23T01:30:20.6814883Z  - 
2022-11-23T01:30:20.6815005Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6815066Z             {
2022-11-23T01:30:20.6815194Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6815298Z                 'code': None,
2022-11-23T01:30:20.6815507Z                 'obj_weakref': <weakref at 0x7ff57ed666b0; to 'Tensor' at 0x7ff58fda7920>
2022-11-23T01:30:20.6815757Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6815820Z             }
2022-11-23T01:30:20.6815883Z             
2022-11-23T01:30:20.6815951Z  - 
2022-11-23T01:30:20.6816068Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6816131Z             {
2022-11-23T01:30:20.6816266Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6816560Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6816682Z                 'obj_weakref': None
2022-11-23T01:30:20.6816914Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6816979Z             }
2022-11-23T01:30:20.6817029Z             
2022-11-23T01:30:20.6817098Z  - 
2022-11-23T01:30:20.6817220Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6817285Z             {
2022-11-23T01:30:20.6817420Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6817638Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6817755Z                 'obj_weakref': None
2022-11-23T01:30:20.6817966Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6818033Z             }
2022-11-23T01:30:20.6818096Z             
2022-11-23T01:30:20.6818167Z  - 
2022-11-23T01:30:20.6818349Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6818479Z             {
2022-11-23T01:30:20.6818646Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6819274Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:30:20.6819395Z                 'obj_weakref': None
2022-11-23T01:30:20.6819655Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6819719Z             }
2022-11-23T01:30:20.6819783Z             
2022-11-23T01:30:20.6819855Z  - 
2022-11-23T01:30:20.6820041Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6820106Z             {
2022-11-23T01:30:20.6820237Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6820519Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:30:20.6820640Z                 'obj_weakref': None
2022-11-23T01:30:20.6820864Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6820928Z             }
2022-11-23T01:30:20.6820992Z             
2022-11-23T01:30:20.6821063Z  - 
2022-11-23T01:30:20.6821234Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6821300Z             {
2022-11-23T01:30:20.6821443Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6821728Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:30:20.6821847Z                 'obj_weakref': None
2022-11-23T01:30:20.6822073Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6822137Z             }
2022-11-23T01:30:20.6822200Z             
2022-11-23T01:30:20.6822256Z  - 
2022-11-23T01:30:20.6822435Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6822501Z             {
2022-11-23T01:30:20.6822644Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6822925Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:30:20.6823045Z                 'obj_weakref': None
2022-11-23T01:30:20.6823261Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6823312Z             }
2022-11-23T01:30:20.6823375Z             
2022-11-23T01:30:20.6823640Z [2022-11-23 01:28:49,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 437
2022-11-23T01:30:20.6824015Z [2022-11-23 01:28:49,630] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfefbuhddayxga4pgbiomfjl5yob7yfnds43a7ayhvaech3g4lkf.py
2022-11-23T01:30:20.6824282Z [2022-11-23 01:28:49,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 437
2022-11-23T01:30:20.6824516Z [2022-11-23 01:28:49,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6824826Z [2022-11-23 01:28:49,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6825041Z [2022-11-23 01:28:49,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6825293Z [2022-11-23 01:28:49,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6825585Z [2022-11-23 01:28:49,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6825905Z [2022-11-23 01:28:49,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6826252Z [2022-11-23 01:28:49,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6826574Z [2022-11-23 01:28:49,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6826973Z [2022-11-23 01:28:49,636] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6827063Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6827153Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6827228Z               4 BINARY_ADD
2022-11-23T01:30:20.6827320Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6827401Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6827491Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6827582Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6827656Z              14 BINARY_ADD
2022-11-23T01:30:20.6827744Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6827817Z              18 RETURN_VALUE
2022-11-23T01:30:20.6827878Z  
2022-11-23T01:30:20.6827883Z 
2022-11-23T01:30:20.6828185Z [2022-11-23 01:28:49,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6828395Z [2022-11-23 01:28:49,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6828633Z [2022-11-23 01:28:49,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6828914Z [2022-11-23 01:28:49,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6829156Z [2022-11-23 01:28:49,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6829437Z [2022-11-23 01:28:49,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6829737Z [2022-11-23 01:28:49,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6829973Z [2022-11-23 01:28:49,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6830241Z [2022-11-23 01:28:49,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6830480Z [2022-11-23 01:28:49,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6830713Z [2022-11-23 01:28:49,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6831089Z [2022-11-23 01:28:49,641] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6831333Z [2022-11-23 01:28:49,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6831567Z [2022-11-23 01:28:49,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6831820Z [2022-11-23 01:28:49,644] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6832065Z [2022-11-23 01:28:49,649] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6832251Z [2022-11-23 01:28:49,650] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6832409Z  __compiled_fn_446 <eval_with_key>.3495 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6832499Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6832572Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6832746Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6832845Z call_method, view, view, (add, [1, 10, 1]), {}
2022-11-23T01:30:20.6833024Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6833117Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6833123Z 
2022-11-23T01:30:20.6833447Z [2022-11-23 01:28:49,650] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6833567Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6833657Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6833731Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6833899Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6833988Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6834075Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6834151Z              12 RETURN_VALUE
2022-11-23T01:30:20.6834156Z 
2022-11-23T01:30:20.6834217Z  
2022-11-23T01:30:20.6834544Z [2022-11-23 01:28:49,651] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6834640Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_446)
2022-11-23T01:30:20.6834729Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6834821Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6834899Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6834985Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6835072Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6835150Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6835224Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6835326Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6835454Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6835550Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6835637Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6835732Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6835832Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6835919Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6835985Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6836070Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6836160Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6836258Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6836345Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6836420Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6836520Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6836598Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6836695Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6836781Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6836857Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6836956Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6837029Z              54 RETURN_VALUE
2022-11-23T01:30:20.6837036Z 
2022-11-23T01:30:20.6837095Z  
2022-11-23T01:30:20.6837265Z [2022-11-23 01:28:49,653] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6837333Z  - 
2022-11-23T01:30:20.6837450Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6837513Z             {
2022-11-23T01:30:20.6837651Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6837866Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6837987Z                 'obj_weakref': None
2022-11-23T01:30:20.6838196Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6838259Z             }
2022-11-23T01:30:20.6838323Z             
2022-11-23T01:30:20.6838394Z  - 
2022-11-23T01:30:20.6838516Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6838577Z             {
2022-11-23T01:30:20.6838716Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6838811Z                 'code': None,
2022-11-23T01:30:20.6839052Z                 'obj_weakref': <weakref at 0x7ff57ed65f30; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6839302Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6839365Z             }
2022-11-23T01:30:20.6839427Z             
2022-11-23T01:30:20.6839495Z  - 
2022-11-23T01:30:20.6839622Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6839673Z             {
2022-11-23T01:30:20.6839818Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6839924Z                 'code': None,
2022-11-23T01:30:20.6840135Z                 'obj_weakref': <weakref at 0x7ff58fe3e980; to 'Tensor' at 0x7ff58fc4d580>
2022-11-23T01:30:20.6840388Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6840451Z             }
2022-11-23T01:30:20.6840512Z             
2022-11-23T01:30:20.6840567Z  - 
2022-11-23T01:30:20.6840699Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6840762Z             {
2022-11-23T01:30:20.6840894Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6841061Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6841178Z                 'obj_weakref': None
2022-11-23T01:30:20.6841407Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6841458Z             }
2022-11-23T01:30:20.6841519Z             
2022-11-23T01:30:20.6841587Z  - 
2022-11-23T01:30:20.6841708Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6841770Z             {
2022-11-23T01:30:20.6841903Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6842117Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6842222Z                 'obj_weakref': None
2022-11-23T01:30:20.6842439Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6842503Z             }
2022-11-23T01:30:20.6842564Z             
2022-11-23T01:30:20.6842630Z  - 
2022-11-23T01:30:20.6842806Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6842869Z             {
2022-11-23T01:30:20.6843025Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6843661Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:30:20.6843780Z                 'obj_weakref': None
2022-11-23T01:30:20.6843997Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6844062Z             }
2022-11-23T01:30:20.6844124Z             
2022-11-23T01:30:20.6844192Z  - 
2022-11-23T01:30:20.6844373Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6844434Z             {
2022-11-23T01:30:20.6844563Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6844880Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:30:20.6844999Z                 'obj_weakref': None
2022-11-23T01:30:20.6845218Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6845281Z             }
2022-11-23T01:30:20.6845341Z             
2022-11-23T01:30:20.6845408Z  - 
2022-11-23T01:30:20.6845579Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6845640Z             {
2022-11-23T01:30:20.6845807Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6846089Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:30:20.6846206Z                 'obj_weakref': None
2022-11-23T01:30:20.6846427Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6846492Z             }
2022-11-23T01:30:20.6846542Z             
2022-11-23T01:30:20.6846608Z  - 
2022-11-23T01:30:20.6846791Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6846854Z             {
2022-11-23T01:30:20.6846994Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6847268Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:30:20.6847385Z                 'obj_weakref': None
2022-11-23T01:30:20.6847605Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6847655Z             }
2022-11-23T01:30:20.6847716Z             
2022-11-23T01:30:20.6847974Z [2022-11-23 01:28:49,663] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 438
2022-11-23T01:30:20.6848337Z [2022-11-23 01:28:49,677] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7a62eh3ylbucmpjyr7q2mv64ptm4a4b4icgpcov2ooqxrpvvnd.py
2022-11-23T01:30:20.6848600Z [2022-11-23 01:28:49,678] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 438
2022-11-23T01:30:20.6848837Z [2022-11-23 01:28:49,683] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6849149Z [2022-11-23 01:28:49,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6849361Z [2022-11-23 01:28:49,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6849602Z [2022-11-23 01:28:49,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6849877Z [2022-11-23 01:28:49,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6850195Z [2022-11-23 01:28:49,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6850538Z [2022-11-23 01:28:49,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6850857Z [2022-11-23 01:28:49,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6851231Z [2022-11-23 01:28:49,685] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6851326Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6851418Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6851511Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6851629Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6851708Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6851780Z              10 BINARY_ADD
2022-11-23T01:30:20.6851868Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6851943Z              14 RETURN_VALUE
2022-11-23T01:30:20.6852004Z  
2022-11-23T01:30:20.6852009Z 
2022-11-23T01:30:20.6852322Z [2022-11-23 01:28:49,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6852532Z [2022-11-23 01:28:49,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6852788Z [2022-11-23 01:28:49,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6853066Z [2022-11-23 01:28:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6853370Z [2022-11-23 01:28:49,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6853603Z [2022-11-23 01:28:49,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6853877Z [2022-11-23 01:28:49,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6854118Z [2022-11-23 01:28:49,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6854360Z [2022-11-23 01:28:49,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6854739Z [2022-11-23 01:28:49,689] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6854985Z [2022-11-23 01:28:49,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6855219Z [2022-11-23 01:28:49,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6855457Z [2022-11-23 01:28:49,692] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6855704Z [2022-11-23 01:28:49,697] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6855890Z [2022-11-23 01:28:49,697] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6856022Z  __compiled_fn_447 <eval_with_key>.3501 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6856113Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6856197Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6856302Z call_method, view, view, (ex_0_, [10, 1, 10, 1, 10]), {}
2022-11-23T01:30:20.6856605Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6856688Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6856696Z 
2022-11-23T01:30:20.6857023Z [2022-11-23 01:28:49,698] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6857117Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6857207Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6857295Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6857387Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6857472Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6857558Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6857624Z              12 RETURN_VALUE
2022-11-23T01:30:20.6857629Z 
2022-11-23T01:30:20.6857690Z  
2022-11-23T01:30:20.6858012Z [2022-11-23 01:28:49,698] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6858171Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_447)
2022-11-23T01:30:20.6858262Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6858350Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6858428Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6858502Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6858588Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6858663Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6858750Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6858851Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6859034Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6859130Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6859217Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6859299Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6859402Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6859489Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6859564Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6859650Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6859740Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6859837Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6859912Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6859986Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6860087Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6860181Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6860279Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6860366Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6860441Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6860530Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6860606Z              54 RETURN_VALUE
2022-11-23T01:30:20.6860611Z 
2022-11-23T01:30:20.6860673Z  
2022-11-23T01:30:20.6860860Z [2022-11-23 01:28:49,701] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6860932Z  - 
2022-11-23T01:30:20.6861052Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6861120Z             {
2022-11-23T01:30:20.6861248Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6861435Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6861554Z                 'obj_weakref': None
2022-11-23T01:30:20.6861779Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6861847Z             }
2022-11-23T01:30:20.6861918Z             
2022-11-23T01:30:20.6861989Z  - 
2022-11-23T01:30:20.6862101Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6862165Z             {
2022-11-23T01:30:20.6862310Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6862417Z                 'code': None,
2022-11-23T01:30:20.6862632Z                 'obj_weakref': <weakref at 0x7ff58fe98f90; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6862886Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6862952Z             }
2022-11-23T01:30:20.6863002Z             
2022-11-23T01:30:20.6863075Z  - 
2022-11-23T01:30:20.6863200Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6863265Z             {
2022-11-23T01:30:20.6863408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6863519Z                 'code': None,
2022-11-23T01:30:20.6863730Z                 'obj_weakref': <weakref at 0x7ff58f97df30; to 'Tensor' at 0x7ff58f9a9b20>
2022-11-23T01:30:20.6863984Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6864033Z             }
2022-11-23T01:30:20.6864141Z             
2022-11-23T01:30:20.6864213Z  - 
2022-11-23T01:30:20.6864344Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6864408Z             {
2022-11-23T01:30:20.6864542Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6864697Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6864817Z                 'obj_weakref': None
2022-11-23T01:30:20.6865046Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6865109Z             }
2022-11-23T01:30:20.6865174Z             
2022-11-23T01:30:20.6865273Z  - 
2022-11-23T01:30:20.6865395Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6865445Z             {
2022-11-23T01:30:20.6865583Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6865799Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6865917Z                 'obj_weakref': None
2022-11-23T01:30:20.6866137Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6866200Z             }
2022-11-23T01:30:20.6866264Z             
2022-11-23T01:30:20.6866321Z  - 
2022-11-23T01:30:20.6866501Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6866566Z             {
2022-11-23T01:30:20.6866736Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6867585Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:30:20.6867710Z                 'obj_weakref': None
2022-11-23T01:30:20.6867930Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6867994Z             }
2022-11-23T01:30:20.6868058Z             
2022-11-23T01:30:20.6868113Z  - 
2022-11-23T01:30:20.6868299Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6868361Z             {
2022-11-23T01:30:20.6868502Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6868784Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.6868903Z                 'obj_weakref': None
2022-11-23T01:30:20.6869124Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6869185Z             }
2022-11-23T01:30:20.6869236Z             
2022-11-23T01:30:20.6869303Z  - 
2022-11-23T01:30:20.6869486Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6869547Z             {
2022-11-23T01:30:20.6869687Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6869966Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:30:20.6870083Z                 'obj_weakref': None
2022-11-23T01:30:20.6870288Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6870353Z             }
2022-11-23T01:30:20.6870415Z             
2022-11-23T01:30:20.6870483Z  - 
2022-11-23T01:30:20.6870665Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6870726Z             {
2022-11-23T01:30:20.6870866Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6871164Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:30:20.6871281Z                 'obj_weakref': None
2022-11-23T01:30:20.6871501Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6871563Z             }
2022-11-23T01:30:20.6871624Z             
2022-11-23T01:30:20.6871691Z  - 
2022-11-23T01:30:20.6871873Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6871924Z             {
2022-11-23T01:30:20.6872063Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6872368Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:30:20.6872484Z                 'obj_weakref': None
2022-11-23T01:30:20.6872703Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6872764Z             }
2022-11-23T01:30:20.6872825Z             
2022-11-23T01:30:20.6872881Z  - 
2022-11-23T01:30:20.6873060Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:30:20.6873120Z             {
2022-11-23T01:30:20.6873260Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6873540Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:30:20.6873655Z                 'obj_weakref': None
2022-11-23T01:30:20.6873957Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6874025Z             }
2022-11-23T01:30:20.6874074Z             
2022-11-23T01:30:20.6874336Z [2022-11-23 01:28:49,711] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 439
2022-11-23T01:30:20.6874341Z 
2022-11-23T01:30:20.6874437Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6874507Z import torch
2022-11-23T01:30:20.6874576Z import random
2022-11-23T01:30:20.6874690Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6874813Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6874818Z 
2022-11-23T01:30:20.6874883Z aten = torch.ops.aten
2022-11-23T01:30:20.6875017Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6875109Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6875114Z 
2022-11-23T01:30:20.6875119Z 
2022-11-23T01:30:20.6875252Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6875459Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6875577Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6875680Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6875780Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6875830Z {
2022-11-23T01:30:20.6875927Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6875988Z     {
2022-11-23T01:30:20.6876064Z         #pragma omp for 
2022-11-23T01:30:20.6876145Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.6876206Z         {
2022-11-23T01:30:20.6876352Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6876469Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6876553Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6876643Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6876707Z         }
2022-11-23T01:30:20.6876800Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6876883Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.6876944Z         {
2022-11-23T01:30:20.6877015Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6877095Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6877210Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6877289Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6877350Z         }
2022-11-23T01:30:20.6877410Z     }
2022-11-23T01:30:20.6877468Z }
2022-11-23T01:30:20.6877535Z ''')
2022-11-23T01:30:20.6877540Z 
2022-11-23T01:30:20.6877544Z 
2022-11-23T01:30:20.6877631Z async_compile.wait(globals())
2022-11-23T01:30:20.6877705Z del async_compile
2022-11-23T01:30:20.6877711Z 
2022-11-23T01:30:20.6877781Z def call(args):
2022-11-23T01:30:20.6877855Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6877927Z     args.clear()
2022-11-23T01:30:20.6878124Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6878316Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6878371Z     del arg0_1
2022-11-23T01:30:20.6878436Z     del arg1_1
2022-11-23T01:30:20.6878505Z     return (buf0, )
2022-11-23T01:30:20.6878510Z 
2022-11-23T01:30:20.6878515Z 
2022-11-23T01:30:20.6878591Z if __name__ == "__main__":
2022-11-23T01:30:20.6878706Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6878826Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6879034Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6879220Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6879335Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6879340Z 
2022-11-23T01:30:20.6879344Z 
2022-11-23T01:30:20.6879435Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6879505Z import torch
2022-11-23T01:30:20.6879573Z import random
2022-11-23T01:30:20.6879684Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6879803Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6879807Z 
2022-11-23T01:30:20.6879883Z aten = torch.ops.aten
2022-11-23T01:30:20.6880004Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6880093Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6880098Z 
2022-11-23T01:30:20.6880102Z 
2022-11-23T01:30:20.6880232Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6880434Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6880550Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6880652Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6880748Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6880809Z {
2022-11-23T01:30:20.6880895Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6880954Z     {
2022-11-23T01:30:20.6881029Z         #pragma omp for 
2022-11-23T01:30:20.6881111Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.6881173Z         {
2022-11-23T01:30:20.6881304Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6881436Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6881551Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6881636Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6881716Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6881806Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6881868Z         }
2022-11-23T01:30:20.6881960Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6882044Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.6882093Z         {
2022-11-23T01:30:20.6882175Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6882259Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6882356Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6882439Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6882518Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6882595Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6882670Z         }
2022-11-23T01:30:20.6882733Z     }
2022-11-23T01:30:20.6882792Z }
2022-11-23T01:30:20.6882870Z ''')
2022-11-23T01:30:20.6882875Z 
2022-11-23T01:30:20.6882879Z 
2022-11-23T01:30:20.6882967Z async_compile.wait(globals())
2022-11-23T01:30:20.6883039Z del async_compile
2022-11-23T01:30:20.6883044Z 
2022-11-23T01:30:20.6883112Z def call(args):
2022-11-23T01:30:20.6883173Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6883242Z     args.clear()
2022-11-23T01:30:20.6883440Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6883601Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6883698Z     del arg0_1
2022-11-23T01:30:20.6883763Z     del arg1_1
2022-11-23T01:30:20.6883833Z     return (buf0, )
2022-11-23T01:30:20.6883838Z 
2022-11-23T01:30:20.6883842Z 
2022-11-23T01:30:20.6883916Z if __name__ == "__main__":
2022-11-23T01:30:20.6884019Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6884139Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6884347Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6884544Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6884657Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6884662Z 
2022-11-23T01:30:20.6884667Z 
2022-11-23T01:30:20.6884758Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6884825Z import torch
2022-11-23T01:30:20.6884893Z import random
2022-11-23T01:30:20.6884994Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6885114Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6885118Z 
2022-11-23T01:30:20.6885196Z aten = torch.ops.aten
2022-11-23T01:30:20.6885326Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6885416Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6885423Z 
2022-11-23T01:30:20.6885427Z 
2022-11-23T01:30:20.6885557Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6885760Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6885876Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6885966Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6886064Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6886124Z {
2022-11-23T01:30:20.6886219Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6886280Z     {
2022-11-23T01:30:20.6886358Z         #pragma omp for 
2022-11-23T01:30:20.6886438Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.6886488Z         {
2022-11-23T01:30:20.6886618Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6886745Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6886831Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6886920Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6886981Z         }
2022-11-23T01:30:20.6887074Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6887142Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.6887202Z         {
2022-11-23T01:30:20.6887283Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6887362Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6887441Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6887520Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6887581Z         }
2022-11-23T01:30:20.6887634Z     }
2022-11-23T01:30:20.6887692Z }
2022-11-23T01:30:20.6887768Z ''')
2022-11-23T01:30:20.6887773Z 
2022-11-23T01:30:20.6887777Z 
2022-11-23T01:30:20.6887864Z async_compile.wait(globals())
2022-11-23T01:30:20.6887935Z del async_compile
2022-11-23T01:30:20.6887940Z 
2022-11-23T01:30:20.6888009Z def call(args):
2022-11-23T01:30:20.6888083Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6888167Z     args.clear()
2022-11-23T01:30:20.6888372Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6888532Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6888601Z     del arg0_1
2022-11-23T01:30:20.6888666Z     del arg1_1
2022-11-23T01:30:20.6888734Z     return (buf0, )
2022-11-23T01:30:20.6888739Z 
2022-11-23T01:30:20.6888743Z 
2022-11-23T01:30:20.6888816Z if __name__ == "__main__":
2022-11-23T01:30:20.6888927Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6889035Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6889280Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6889485Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6889598Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6889605Z 
2022-11-23T01:30:20.6889611Z 
2022-11-23T01:30:20.6889703Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6889770Z import torch
2022-11-23T01:30:20.6889839Z import random
2022-11-23T01:30:20.6889950Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6890056Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6890061Z 
2022-11-23T01:30:20.6890137Z aten = torch.ops.aten
2022-11-23T01:30:20.6890266Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6890356Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6890361Z 
2022-11-23T01:30:20.6890365Z 
2022-11-23T01:30:20.6890498Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6890702Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6890820Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6890923Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6891012Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6891073Z {
2022-11-23T01:30:20.6891170Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6891232Z     {
2022-11-23T01:30:20.6891307Z         #pragma omp for 
2022-11-23T01:30:20.6891387Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.6891448Z         {
2022-11-23T01:30:20.6891567Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6891693Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6891820Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6891906Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6891987Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6892075Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6892136Z         }
2022-11-23T01:30:20.6892216Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6892297Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.6892359Z         {
2022-11-23T01:30:20.6892441Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6892521Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6892620Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6892704Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6892772Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6892852Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6892915Z         }
2022-11-23T01:30:20.6892979Z     }
2022-11-23T01:30:20.6893040Z }
2022-11-23T01:30:20.6893120Z ''')
2022-11-23T01:30:20.6893125Z 
2022-11-23T01:30:20.6893132Z 
2022-11-23T01:30:20.6893221Z async_compile.wait(globals())
2022-11-23T01:30:20.6893281Z del async_compile
2022-11-23T01:30:20.6893286Z 
2022-11-23T01:30:20.6893357Z def call(args):
2022-11-23T01:30:20.6893436Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6893510Z     args.clear()
2022-11-23T01:30:20.6893741Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6893904Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6893976Z     del arg0_1
2022-11-23T01:30:20.6894029Z     del arg1_1
2022-11-23T01:30:20.6894105Z     return (buf0, )
2022-11-23T01:30:20.6894110Z 
2022-11-23T01:30:20.6894114Z 
2022-11-23T01:30:20.6894189Z if __name__ == "__main__":
2022-11-23T01:30:20.6894304Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6894427Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6894623Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6894853Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6894969Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6894974Z 
2022-11-23T01:30:20.6895341Z [2022-11-23 01:28:49,726] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/37/c37lukpza6gtvxl3q4oiwu3rv2lwo2p7a3vp26w3ktoqahluv4c2.py
2022-11-23T01:30:20.6895595Z [2022-11-23 01:28:49,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 439
2022-11-23T01:30:20.6895835Z [2022-11-23 01:28:49,731] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6896150Z [2022-11-23 01:28:49,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6896368Z [2022-11-23 01:28:49,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6896752Z [2022-11-23 01:28:49,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6897034Z [2022-11-23 01:28:49,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6897357Z [2022-11-23 01:28:49,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6897704Z [2022-11-23 01:28:49,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6898030Z [2022-11-23 01:28:49,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6898406Z [2022-11-23 01:28:49,733] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6898489Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6898580Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6898654Z               4 BINARY_ADD
2022-11-23T01:30:20.6898752Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6898848Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6898936Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6899026Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6899086Z              14 BINARY_ADD
2022-11-23T01:30:20.6899173Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6899251Z              18 RETURN_VALUE
2022-11-23T01:30:20.6899317Z  
2022-11-23T01:30:20.6899322Z 
2022-11-23T01:30:20.6899634Z [2022-11-23 01:28:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6899846Z [2022-11-23 01:28:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6900086Z [2022-11-23 01:28:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6900414Z [2022-11-23 01:28:49,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6900655Z [2022-11-23 01:28:49,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6900922Z [2022-11-23 01:28:49,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6901225Z [2022-11-23 01:28:49,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6901459Z [2022-11-23 01:28:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6901731Z [2022-11-23 01:28:49,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6902007Z [2022-11-23 01:28:49,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6902255Z [2022-11-23 01:28:49,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6902632Z [2022-11-23 01:28:49,738] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6902876Z [2022-11-23 01:28:49,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6903109Z [2022-11-23 01:28:49,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6903349Z [2022-11-23 01:28:49,740] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6903599Z [2022-11-23 01:28:49,744] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6903788Z [2022-11-23 01:28:49,745] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6903920Z  __compiled_fn_448 <eval_with_key>.3507 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6904013Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6904098Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6904277Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6904383Z call_method, view, view, (add, [10, 1, 10, 1, 10]), {}
2022-11-23T01:30:20.6904547Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6904640Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6904646Z 
2022-11-23T01:30:20.6904968Z [2022-11-23 01:28:49,745] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6905063Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6905152Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6905240Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6905335Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6905424Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6905500Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6905576Z              12 RETURN_VALUE
2022-11-23T01:30:20.6905581Z 
2022-11-23T01:30:20.6905642Z  
2022-11-23T01:30:20.6905962Z [2022-11-23 01:28:49,746] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6906069Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_448)
2022-11-23T01:30:20.6906159Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6906246Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6906324Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6906399Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6906485Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6906561Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6906649Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6906793Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6906923Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6907018Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6907093Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6907186Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6907285Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6907375Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6907450Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6907536Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6907654Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6907739Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6907826Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6907899Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6908002Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6908091Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6914500Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6914639Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6914708Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6914813Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6914892Z              54 RETURN_VALUE
2022-11-23T01:30:20.6914899Z 
2022-11-23T01:30:20.6914961Z  
2022-11-23T01:30:20.6915186Z [2022-11-23 01:28:49,747] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6915264Z  - 
2022-11-23T01:30:20.6915386Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6915439Z             {
2022-11-23T01:30:20.6915586Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6915776Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6915899Z                 'obj_weakref': None
2022-11-23T01:30:20.6916128Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6916192Z             }
2022-11-23T01:30:20.6916256Z             
2022-11-23T01:30:20.6916312Z  - 
2022-11-23T01:30:20.6916439Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6916505Z             {
2022-11-23T01:30:20.6916650Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6916757Z                 'code': None,
2022-11-23T01:30:20.6916968Z                 'obj_weakref': <weakref at 0x7ff58f97e930; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6917226Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6917278Z             }
2022-11-23T01:30:20.6917342Z             
2022-11-23T01:30:20.6917411Z  - 
2022-11-23T01:30:20.6917537Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6917601Z             {
2022-11-23T01:30:20.6917745Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6917853Z                 'code': None,
2022-11-23T01:30:20.6918054Z                 'obj_weakref': <weakref at 0x7ff57eced7b0; to 'Tensor' at 0x7ff58fd52d90>
2022-11-23T01:30:20.6918309Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6918374Z             }
2022-11-23T01:30:20.6918438Z             
2022-11-23T01:30:20.6918508Z  - 
2022-11-23T01:30:20.6918639Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6918703Z             {
2022-11-23T01:30:20.6918827Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6918999Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6919118Z                 'obj_weakref': None
2022-11-23T01:30:20.6919348Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6919413Z             }
2022-11-23T01:30:20.6919561Z             
2022-11-23T01:30:20.6919631Z  - 
2022-11-23T01:30:20.6919739Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6919803Z             {
2022-11-23T01:30:20.6919941Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6920160Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6920278Z                 'obj_weakref': None
2022-11-23T01:30:20.6920501Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6920566Z             }
2022-11-23T01:30:20.6920649Z             
2022-11-23T01:30:20.6920721Z  - 
2022-11-23T01:30:20.6920900Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6920965Z             {
2022-11-23T01:30:20.6921132Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6921981Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:30:20.6922102Z                 'obj_weakref': None
2022-11-23T01:30:20.6922324Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6922393Z             }
2022-11-23T01:30:20.6922445Z             
2022-11-23T01:30:20.6922513Z  - 
2022-11-23T01:30:20.6922700Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6922765Z             {
2022-11-23T01:30:20.6922911Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6923197Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.6923319Z                 'obj_weakref': None
2022-11-23T01:30:20.6923527Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6923591Z             }
2022-11-23T01:30:20.6923653Z             
2022-11-23T01:30:20.6923722Z  - 
2022-11-23T01:30:20.6923908Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6923974Z             {
2022-11-23T01:30:20.6924117Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6924386Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:30:20.6924506Z                 'obj_weakref': None
2022-11-23T01:30:20.6924729Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6924793Z             }
2022-11-23T01:30:20.6924856Z             
2022-11-23T01:30:20.6924925Z  - 
2022-11-23T01:30:20.6925110Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6925162Z             {
2022-11-23T01:30:20.6925304Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6925588Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:30:20.6925706Z                 'obj_weakref': None
2022-11-23T01:30:20.6925930Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6925994Z             }
2022-11-23T01:30:20.6926058Z             
2022-11-23T01:30:20.6926128Z  - 
2022-11-23T01:30:20.6926300Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6926392Z             {
2022-11-23T01:30:20.6926536Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6926818Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:30:20.6926936Z                 'obj_weakref': None
2022-11-23T01:30:20.6927155Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6927219Z             }
2022-11-23T01:30:20.6927270Z             
2022-11-23T01:30:20.6927338Z  - 
2022-11-23T01:30:20.6927525Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:30:20.6927620Z             {
2022-11-23T01:30:20.6927763Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6928045Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94571819095424)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:30:20.6928165Z                 'obj_weakref': None
2022-11-23T01:30:20.6928370Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6928435Z             }
2022-11-23T01:30:20.6928501Z             
2022-11-23T01:30:20.6928767Z [2022-11-23 01:28:49,756] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 440
2022-11-23T01:30:20.6929136Z [2022-11-23 01:28:49,774] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ge/cgen3d3k24igeavwyp6uayqn5bgttkq6qzltljde5c5alkb72nyj.py
2022-11-23T01:30:20.6929402Z [2022-11-23 01:28:49,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 440
2022-11-23T01:30:20.6929642Z [2022-11-23 01:28:49,780] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6929961Z [2022-11-23 01:28:49,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6930180Z [2022-11-23 01:28:49,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6930419Z [2022-11-23 01:28:49,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6930697Z [2022-11-23 01:28:49,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6931017Z [2022-11-23 01:28:49,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6931365Z [2022-11-23 01:28:49,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6931689Z [2022-11-23 01:28:49,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6932070Z [2022-11-23 01:28:49,782] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939> 
2022-11-23T01:30:20.6932165Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6932259Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6932353Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6932428Z               6 CALL_METHOD              1
2022-11-23T01:30:20.6932518Z               8 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6932592Z              10 BINARY_ADD
2022-11-23T01:30:20.6932682Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.6932762Z              14 RETURN_VALUE
2022-11-23T01:30:20.6932825Z  
2022-11-23T01:30:20.6932831Z 
2022-11-23T01:30:20.6933147Z [2022-11-23 01:28:49,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:940
2022-11-23T01:30:20.6933386Z [2022-11-23 01:28:49,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6933617Z [2022-11-23 01:28:49,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6933900Z [2022-11-23 01:28:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6934202Z [2022-11-23 01:28:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6934439Z [2022-11-23 01:28:49,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6934740Z [2022-11-23 01:28:49,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6934981Z [2022-11-23 01:28:49,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6935227Z [2022-11-23 01:28:49,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6935607Z [2022-11-23 01:28:49,786] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b5d0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 939>
2022-11-23T01:30:20.6935853Z [2022-11-23 01:28:49,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6936087Z [2022-11-23 01:28:49,786] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6936328Z [2022-11-23 01:28:49,788] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6936713Z [2022-11-23 01:28:49,793] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6936903Z [2022-11-23 01:28:49,794] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6937041Z  __compiled_fn_449 <eval_with_key>.3513 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6937133Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6937222Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6937324Z call_method, view, view, (ex_0_, [2, 2, 2, 2]), {}
2022-11-23T01:30:20.6937504Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6937585Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.6937591Z 
2022-11-23T01:30:20.6937918Z [2022-11-23 01:28:49,794] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6938015Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6938108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6938196Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6938289Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6938374Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6938451Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6938529Z              12 RETURN_VALUE
2022-11-23T01:30:20.6938534Z 
2022-11-23T01:30:20.6938596Z  
2022-11-23T01:30:20.6938917Z [2022-11-23 01:28:49,795] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6939026Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_449)
2022-11-23T01:30:20.6939117Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6939206Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6939284Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6939363Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6939454Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6939533Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6939621Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6939777Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6939908Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6940006Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6940081Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6940180Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6940283Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6940373Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6940450Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6940539Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6940666Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6940764Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6940840Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6940916Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6941020Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6941111Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6941208Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6941296Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6941371Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6941460Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6941535Z              54 RETURN_VALUE
2022-11-23T01:30:20.6941541Z 
2022-11-23T01:30:20.6941603Z  
2022-11-23T01:30:20.6941788Z [2022-11-23 01:28:49,797] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6941861Z  - 
2022-11-23T01:30:20.6941981Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6942048Z             {
2022-11-23T01:30:20.6942176Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6942362Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6942480Z                 'obj_weakref': None
2022-11-23T01:30:20.6942706Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6942773Z             }
2022-11-23T01:30:20.6942837Z             
2022-11-23T01:30:20.6942906Z  - 
2022-11-23T01:30:20.6943016Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6943081Z             {
2022-11-23T01:30:20.6943223Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6943330Z                 'code': None,
2022-11-23T01:30:20.6943542Z                 'obj_weakref': <weakref at 0x7ff57eccc400; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6943797Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6943864Z             }
2022-11-23T01:30:20.6943915Z             
2022-11-23T01:30:20.6943983Z  - 
2022-11-23T01:30:20.6944110Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6944173Z             {
2022-11-23T01:30:20.6944319Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6944426Z                 'code': None,
2022-11-23T01:30:20.6944639Z                 'obj_weakref': <weakref at 0x7ff57eccc4a0; to 'Tensor' at 0x7ff58f97e570>
2022-11-23T01:30:20.6944877Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6944940Z             }
2022-11-23T01:30:20.6945004Z             
2022-11-23T01:30:20.6945073Z  - 
2022-11-23T01:30:20.6945203Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6945267Z             {
2022-11-23T01:30:20.6945402Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6945563Z                 'code': ['___check_obj_id(model, 140692371761632)'],
2022-11-23T01:30:20.6945680Z                 'obj_weakref': None
2022-11-23T01:30:20.6945909Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6945974Z             }
2022-11-23T01:30:20.6946067Z             
2022-11-23T01:30:20.6946138Z  - 
2022-11-23T01:30:20.6946261Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6946311Z             {
2022-11-23T01:30:20.6946447Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6946663Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6946781Z                 'obj_weakref': None
2022-11-23T01:30:20.6947001Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6947065Z             }
2022-11-23T01:30:20.6947129Z             
2022-11-23T01:30:20.6947212Z  - 
2022-11-23T01:30:20.6947389Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6947453Z             {
2022-11-23T01:30:20.6947617Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6948362Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:30:20.6948482Z                 'obj_weakref': None
2022-11-23T01:30:20.6948703Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6948767Z             }
2022-11-23T01:30:20.6948833Z             
2022-11-23T01:30:20.6948888Z  - 
2022-11-23T01:30:20.6949071Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6949135Z             {
2022-11-23T01:30:20.6949277Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6949559Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:30:20.6949678Z                 'obj_weakref': None
2022-11-23T01:30:20.6949899Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6949950Z             }
2022-11-23T01:30:20.6950012Z             
2022-11-23T01:30:20.6950084Z  - 
2022-11-23T01:30:20.6950268Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6950331Z             {
2022-11-23T01:30:20.6950473Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6950754Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:30:20.6950859Z                 'obj_weakref': None
2022-11-23T01:30:20.6951079Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6951146Z             }
2022-11-23T01:30:20.6951210Z             
2022-11-23T01:30:20.6951279Z  - 
2022-11-23T01:30:20.6951462Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6951526Z             {
2022-11-23T01:30:20.6951655Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6951933Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:30:20.6952053Z                 'obj_weakref': None
2022-11-23T01:30:20.6952273Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6952339Z             }
2022-11-23T01:30:20.6952403Z             
2022-11-23T01:30:20.6952474Z  - 
2022-11-23T01:30:20.6952646Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6952711Z             {
2022-11-23T01:30:20.6952855Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6953164Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:30:20.6953285Z                 'obj_weakref': None
2022-11-23T01:30:20.6953504Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6953567Z             }
2022-11-23T01:30:20.6953631Z             
2022-11-23T01:30:20.6953960Z [2022-11-23 01:28:49,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 441
2022-11-23T01:30:20.6954329Z [2022-11-23 01:28:49,828] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7f/c7fhbf747bstrtmd7arjo2ybahgm4k5iqqh472pxk2g5244nrcq6.py
2022-11-23T01:30:20.6954628Z [2022-11-23 01:28:49,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 441
2022-11-23T01:30:20.6954871Z [2022-11-23 01:28:49,833] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.6955188Z [2022-11-23 01:28:49,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.6955405Z [2022-11-23 01:28:49,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.6955657Z [2022-11-23 01:28:49,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.6955932Z [2022-11-23 01:28:49,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.6956256Z [2022-11-23 01:28:49,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6956604Z [2022-11-23 01:28:49,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6956916Z [2022-11-23 01:28:49,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.6957292Z [2022-11-23 01:28:49,835] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942> 
2022-11-23T01:30:20.6957385Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.6957478Z               2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.6957553Z               4 BINARY_ADD
2022-11-23T01:30:20.6957646Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.6957741Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.6957829Z              10 CALL_METHOD              1
2022-11-23T01:30:20.6957905Z              12 LOAD_FAST                1 (y)
2022-11-23T01:30:20.6957979Z              14 BINARY_ADD
2022-11-23T01:30:20.6958072Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.6958153Z              18 RETURN_VALUE
2022-11-23T01:30:20.6958215Z  
2022-11-23T01:30:20.6958221Z 
2022-11-23T01:30:20.6958536Z [2022-11-23 01:28:49,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:943
2022-11-23T01:30:20.6958746Z [2022-11-23 01:28:49,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.6958984Z [2022-11-23 01:28:49,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.6959251Z [2022-11-23 01:28:49,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.6959492Z [2022-11-23 01:28:49,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.6959769Z [2022-11-23 01:28:49,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.6960112Z [2022-11-23 01:28:49,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.6960351Z [2022-11-23 01:28:49,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:30:20.6960622Z [2022-11-23 01:28:49,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.6960862Z [2022-11-23 01:28:49,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.6961105Z [2022-11-23 01:28:49,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6961513Z [2022-11-23 01:28:49,840] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b680, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 942>
2022-11-23T01:30:20.6961759Z [2022-11-23 01:28:49,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.6961980Z [2022-11-23 01:28:49,841] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.6962233Z [2022-11-23 01:28:49,843] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.6962484Z [2022-11-23 01:28:49,849] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.6962673Z [2022-11-23 01:28:49,850] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.6962808Z  __compiled_fn_450 <eval_with_key>.3519 opcode, name, target, args, kwargs
2022-11-23T01:30:20.6962902Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.6962989Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.6963164Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.6963254Z call_method, view, view, (add, [2, 2, 2, 2]), {}
2022-11-23T01:30:20.6963438Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:30:20.6963535Z output, output, output, ((add_1,),), {}
2022-11-23T01:30:20.6963541Z 
2022-11-23T01:30:20.6963869Z [2022-11-23 01:28:49,850] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6963962Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6964055Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6964141Z               4 BUILD_MAP                0
2022-11-23T01:30:20.6964234Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.6964309Z               8 DICT_MERGE               1
2022-11-23T01:30:20.6964397Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.6964473Z              12 RETURN_VALUE
2022-11-23T01:30:20.6964478Z 
2022-11-23T01:30:20.6964540Z  
2022-11-23T01:30:20.6964860Z [2022-11-23 01:28:49,851] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.6964969Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_450)
2022-11-23T01:30:20.6965059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6965136Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6965216Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.6965306Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.6965393Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.6965471Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.6965558Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.6965664Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.6965779Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.6965876Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.6965963Z              22 CALL_FUNCTION            0
2022-11-23T01:30:20.6966089Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.6966191Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.6966280Z              28 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6966356Z              30 BINARY_SUBSCR
2022-11-23T01:30:20.6966444Z              32 BUILD_TUPLE              1
2022-11-23T01:30:20.6966524Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6966621Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6966710Z              38 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6966787Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.6966927Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.6967018Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.6967115Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.6967189Z              48 LOAD_CONST               1 (0)
2022-11-23T01:30:20.6967267Z              50 BINARY_SUBSCR
2022-11-23T01:30:20.6967367Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.6967442Z              54 RETURN_VALUE
2022-11-23T01:30:20.6967447Z 
2022-11-23T01:30:20.6967509Z  
2022-11-23T01:30:20.6967695Z [2022-11-23 01:28:49,853] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.6967766Z  - 
2022-11-23T01:30:20.6967873Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.6967937Z             {
2022-11-23T01:30:20.6968077Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.6968261Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.6968385Z                 'obj_weakref': None
2022-11-23T01:30:20.6968610Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.6968675Z             }
2022-11-23T01:30:20.6968726Z             
2022-11-23T01:30:20.6968795Z  - 
2022-11-23T01:30:20.6968921Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.6968991Z             {
2022-11-23T01:30:20.6969135Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6969242Z                 'code': None,
2022-11-23T01:30:20.6969456Z                 'obj_weakref': <weakref at 0x7ff58fc17100; to 'Tensor' at 0x7ff57efe68e0>
2022-11-23T01:30:20.6969697Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6969763Z             }
2022-11-23T01:30:20.6969828Z             
2022-11-23T01:30:20.6969898Z  - 
2022-11-23T01:30:20.6970021Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.6970087Z             {
2022-11-23T01:30:20.6970228Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.6970321Z                 'code': None,
2022-11-23T01:30:20.6970533Z                 'obj_weakref': <weakref at 0x7ff58fc15b20; to 'Tensor' at 0x7ff58f9d18f0>
2022-11-23T01:30:20.6970787Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.6970852Z             }
2022-11-23T01:30:20.6970915Z             
2022-11-23T01:30:20.6970986Z  - 
2022-11-23T01:30:20.6971118Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.6971168Z             {
2022-11-23T01:30:20.6971302Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.6971475Z                 'code': ['___check_obj_id(model, 140692371757600)'],
2022-11-23T01:30:20.6971594Z                 'obj_weakref': None
2022-11-23T01:30:20.6971825Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.6971891Z             }
2022-11-23T01:30:20.6971954Z             
2022-11-23T01:30:20.6972010Z  - 
2022-11-23T01:30:20.6972130Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.6972193Z             {
2022-11-23T01:30:20.6972330Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.6972579Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.6972699Z                 'obj_weakref': None
2022-11-23T01:30:20.6972921Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.6972971Z             }
2022-11-23T01:30:20.6973036Z             
2022-11-23T01:30:20.6973105Z  - 
2022-11-23T01:30:20.6973284Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.6973347Z             {
2022-11-23T01:30:20.6973513Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.6974255Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:30:20.6974402Z                 'obj_weakref': None
2022-11-23T01:30:20.6974623Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.6974674Z             }
2022-11-23T01:30:20.6974738Z             
2022-11-23T01:30:20.6974809Z  - 
2022-11-23T01:30:20.6974994Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.6975058Z             {
2022-11-23T01:30:20.6975202Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6975486Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:30:20.6975592Z                 'obj_weakref': None
2022-11-23T01:30:20.6975812Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6975879Z             }
2022-11-23T01:30:20.6975942Z             
2022-11-23T01:30:20.6976012Z  - 
2022-11-23T01:30:20.6976196Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.6976261Z             {
2022-11-23T01:30:20.6976388Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6976801Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:30:20.6976921Z                 'obj_weakref': None
2022-11-23T01:30:20.6977143Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6977211Z             }
2022-11-23T01:30:20.6977277Z             
2022-11-23T01:30:20.6977346Z  - 
2022-11-23T01:30:20.6977517Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.6977581Z             {
2022-11-23T01:30:20.6977725Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6978009Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:30:20.6978129Z                 'obj_weakref': None
2022-11-23T01:30:20.6978350Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6978414Z             }
2022-11-23T01:30:20.6978479Z             
2022-11-23T01:30:20.6978535Z  - 
2022-11-23T01:30:20.6978720Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:30:20.6978784Z             {
2022-11-23T01:30:20.6978928Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.6979211Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94571819095424)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:30:20.6979331Z                 'obj_weakref': None
2022-11-23T01:30:20.6979595Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.6979647Z             }
2022-11-23T01:30:20.6979709Z             
2022-11-23T01:30:20.6979972Z [2022-11-23 01:28:49,861] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 442
2022-11-23T01:30:20.6980348Z [2022-11-23 01:28:49,872] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebyi4py5sxljxqddtdqmenmzah6xmqdxlbbbvz6jpqc5babmgtf.py
2022-11-23T01:30:20.6980617Z [2022-11-23 01:28:49,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 442
2022-11-23T01:30:20.6980624Z 
2022-11-23T01:30:20.6980756Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6980828Z import torch
2022-11-23T01:30:20.6980900Z import random
2022-11-23T01:30:20.6981003Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6981126Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6981131Z 
2022-11-23T01:30:20.6981211Z aten = torch.ops.aten
2022-11-23T01:30:20.6981350Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6981445Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6981450Z 
2022-11-23T01:30:20.6981454Z 
2022-11-23T01:30:20.6981593Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6981800Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6981920Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6982012Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6982113Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6982177Z {
2022-11-23T01:30:20.6982275Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6982337Z     {
2022-11-23T01:30:20.6982415Z         #pragma omp for 
2022-11-23T01:30:20.6982498Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.6982548Z         {
2022-11-23T01:30:20.6982701Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6982832Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6982922Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6983015Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6983077Z         }
2022-11-23T01:30:20.6983170Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6983243Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.6983306Z         {
2022-11-23T01:30:20.6983390Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6983473Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6983558Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6983637Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6983700Z         }
2022-11-23T01:30:20.6983749Z     }
2022-11-23T01:30:20.6983808Z }
2022-11-23T01:30:20.6983888Z ''')
2022-11-23T01:30:20.6983893Z 
2022-11-23T01:30:20.6983898Z 
2022-11-23T01:30:20.6983985Z async_compile.wait(globals())
2022-11-23T01:30:20.6984060Z del async_compile
2022-11-23T01:30:20.6984065Z 
2022-11-23T01:30:20.6984136Z def call(args):
2022-11-23T01:30:20.6984211Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6984269Z     args.clear()
2022-11-23T01:30:20.6984502Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6984666Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6984734Z     del arg0_1
2022-11-23T01:30:20.6984801Z     del arg1_1
2022-11-23T01:30:20.6984873Z     return (buf0, )
2022-11-23T01:30:20.6984880Z 
2022-11-23T01:30:20.6984884Z 
2022-11-23T01:30:20.6984961Z if __name__ == "__main__":
2022-11-23T01:30:20.6985075Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6985185Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6985388Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6985644Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6985761Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6985766Z 
2022-11-23T01:30:20.6985770Z 
2022-11-23T01:30:20.6985863Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6985932Z import torch
2022-11-23T01:30:20.6986001Z import random
2022-11-23T01:30:20.6986115Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6986221Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6986226Z 
2022-11-23T01:30:20.6986305Z aten = torch.ops.aten
2022-11-23T01:30:20.6986464Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6986556Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6986561Z 
2022-11-23T01:30:20.6986566Z 
2022-11-23T01:30:20.6986700Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6986909Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6987028Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6987132Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6987219Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6987280Z {
2022-11-23T01:30:20.6987378Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6987441Z     {
2022-11-23T01:30:20.6987518Z         #pragma omp for 
2022-11-23T01:30:20.6987604Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.6987668Z         {
2022-11-23T01:30:20.6987789Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6987922Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6988049Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6988135Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6988217Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6988310Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6988373Z         }
2022-11-23T01:30:20.6988454Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6988540Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.6988602Z         {
2022-11-23T01:30:20.6988686Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6988768Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6988866Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6988950Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6989018Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6989101Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6989163Z         }
2022-11-23T01:30:20.6989227Z     }
2022-11-23T01:30:20.6989287Z }
2022-11-23T01:30:20.6989367Z ''')
2022-11-23T01:30:20.6989371Z 
2022-11-23T01:30:20.6989376Z 
2022-11-23T01:30:20.6989464Z async_compile.wait(globals())
2022-11-23T01:30:20.6989523Z del async_compile
2022-11-23T01:30:20.6989541Z 
2022-11-23T01:30:20.6989600Z def call(args):
2022-11-23T01:30:20.6989675Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6989747Z     args.clear()
2022-11-23T01:30:20.6989979Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6990141Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6990209Z     del arg0_1
2022-11-23T01:30:20.6990277Z     del arg1_1
2022-11-23T01:30:20.6990336Z     return (buf0, )
2022-11-23T01:30:20.6990341Z 
2022-11-23T01:30:20.6990345Z 
2022-11-23T01:30:20.6990424Z if __name__ == "__main__":
2022-11-23T01:30:20.6990538Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6990661Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6990864Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6991116Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6991232Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6991237Z 
2022-11-23T01:30:20.6991241Z 
2022-11-23T01:30:20.6991338Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6991394Z import torch
2022-11-23T01:30:20.6991464Z import random
2022-11-23T01:30:20.6991579Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6991699Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6991703Z 
2022-11-23T01:30:20.6991781Z aten = torch.ops.aten
2022-11-23T01:30:20.6991915Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6992036Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6992041Z 
2022-11-23T01:30:20.6992045Z 
2022-11-23T01:30:20.6992180Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6992369Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6992491Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6992597Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6992698Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6992759Z {
2022-11-23T01:30:20.6992857Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6992918Z     {
2022-11-23T01:30:20.6992981Z         #pragma omp for 
2022-11-23T01:30:20.6993062Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.6993125Z         {
2022-11-23T01:30:20.6993259Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6993392Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6993477Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6993567Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6993618Z         }
2022-11-23T01:30:20.6993712Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6993867Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.6993946Z         {
2022-11-23T01:30:20.6994032Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6994116Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.6994199Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6994265Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.6994328Z         }
2022-11-23T01:30:20.6994391Z     }
2022-11-23T01:30:20.6994452Z }
2022-11-23T01:30:20.6994536Z ''')
2022-11-23T01:30:20.6994541Z 
2022-11-23T01:30:20.6994546Z 
2022-11-23T01:30:20.6994635Z async_compile.wait(globals())
2022-11-23T01:30:20.6994709Z del async_compile
2022-11-23T01:30:20.6994716Z 
2022-11-23T01:30:20.6994787Z def call(args):
2022-11-23T01:30:20.6994850Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.6994922Z     args.clear()
2022-11-23T01:30:20.6995131Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6995297Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.6995366Z     del arg0_1
2022-11-23T01:30:20.6995434Z     del arg1_1
2022-11-23T01:30:20.6995505Z     return (buf0, )
2022-11-23T01:30:20.6995510Z 
2022-11-23T01:30:20.6995514Z 
2022-11-23T01:30:20.6995576Z if __name__ == "__main__":
2022-11-23T01:30:20.6995690Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.6995812Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.6996008Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6996216Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.6996332Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.6996337Z 
2022-11-23T01:30:20.6996341Z 
2022-11-23T01:30:20.6996435Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.6996506Z import torch
2022-11-23T01:30:20.6996563Z import random
2022-11-23T01:30:20.6996732Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.6996853Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.6996859Z 
2022-11-23T01:30:20.6996936Z aten = torch.ops.aten
2022-11-23T01:30:20.6997070Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.6997161Z async_compile = AsyncCompile()
2022-11-23T01:30:20.6997166Z 
2022-11-23T01:30:20.6997170Z 
2022-11-23T01:30:20.6997303Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.6997508Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.6997614Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.6997746Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.6997848Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.6997910Z {
2022-11-23T01:30:20.6998009Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.6998072Z     {
2022-11-23T01:30:20.6998149Z         #pragma omp for 
2022-11-23T01:30:20.6998220Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.6998284Z         {
2022-11-23T01:30:20.6998419Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.6998550Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.6998681Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.6998766Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6998849Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6998939Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.6998992Z         }
2022-11-23T01:30:20.6999085Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.6999168Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.6999230Z         {
2022-11-23T01:30:20.6999313Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.6999395Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:30:20.6999483Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.6999567Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.6999650Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.6999730Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.6999793Z         }
2022-11-23T01:30:20.6999855Z     }
2022-11-23T01:30:20.6999915Z }
2022-11-23T01:30:20.6999981Z ''')
2022-11-23T01:30:20.6999986Z 
2022-11-23T01:30:20.6999990Z 
2022-11-23T01:30:20.7000079Z async_compile.wait(globals())
2022-11-23T01:30:20.7000153Z del async_compile
2022-11-23T01:30:20.7000158Z 
2022-11-23T01:30:20.7000228Z def call(args):
2022-11-23T01:30:20.7000303Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7000376Z     args.clear()
2022-11-23T01:30:20.7000585Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7000747Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7000803Z     del arg0_1
2022-11-23T01:30:20.7000869Z     del arg1_1
2022-11-23T01:30:20.7000947Z     return (buf0, )
2022-11-23T01:30:20.7000952Z 
2022-11-23T01:30:20.7000956Z 
2022-11-23T01:30:20.7001035Z if __name__ == "__main__":
2022-11-23T01:30:20.7001149Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7001270Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7001466Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7001659Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7001774Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7001781Z 
2022-11-23T01:30:20.7001848Z ok (15.903s)
2022-11-23T01:30:20.7002153Z   test_views2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:49,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7002508Z [2022-11-23 01:28:49,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7002730Z [2022-11-23 01:28:49,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7002983Z [2022-11-23 01:28:49,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7003262Z [2022-11-23 01:28:49,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7003587Z [2022-11-23 01:28:49,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7003961Z [2022-11-23 01:28:49,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7004272Z [2022-11-23 01:28:49,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7004650Z [2022-11-23 01:28:49,879] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:30:20.7004744Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7004838Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.7004932Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.7005020Z               6 CALL_METHOD              1
2022-11-23T01:30:20.7005109Z               8 LOAD_CONST               1 (1)
2022-11-23T01:30:20.7005183Z              10 BINARY_ADD
2022-11-23T01:30:20.7005261Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.7005338Z              14 RETURN_VALUE
2022-11-23T01:30:20.7005402Z  
2022-11-23T01:30:20.7005407Z 
2022-11-23T01:30:20.7005721Z [2022-11-23 01:28:49,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:30:20.7005934Z [2022-11-23 01:28:49,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.7006181Z [2022-11-23 01:28:49,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.7006463Z [2022-11-23 01:28:49,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.7006767Z [2022-11-23 01:28:49,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.7007004Z [2022-11-23 01:28:49,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.7007272Z [2022-11-23 01:28:49,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7007511Z [2022-11-23 01:28:49,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7007755Z [2022-11-23 01:28:49,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7008133Z [2022-11-23 01:28:49,881] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:30:20.7008378Z [2022-11-23 01:28:49,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7008612Z [2022-11-23 01:28:49,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7008866Z [2022-11-23 01:28:49,883] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7009113Z [2022-11-23 01:28:49,886] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7009302Z [2022-11-23 01:28:49,886] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7009447Z  __compiled_fn_451 <eval_with_key>.3525 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7009540Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7009684Z call_method, view, view, (ex_0_, [4, -1]), {}
2022-11-23T01:30:20.7009856Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:30:20.7009952Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7009957Z 
2022-11-23T01:30:20.7010282Z [2022-11-23 01:28:49,886] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7010377Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7010494Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7010569Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7010662Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7010747Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7010838Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7010915Z              12 RETURN_VALUE
2022-11-23T01:30:20.7010920Z 
2022-11-23T01:30:20.7010981Z  
2022-11-23T01:30:20.7011302Z [2022-11-23 01:28:49,886] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7011412Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_451)
2022-11-23T01:30:20.7011490Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7011580Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7011658Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7011747Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.7011850Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7011977Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.7012074Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.7012153Z              16 CALL_FUNCTION            0
2022-11-23T01:30:20.7012249Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.7012351Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7012442Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7012519Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.7012607Z              26 BUILD_TUPLE              1
2022-11-23T01:30:20.7012698Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7012782Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7012869Z              32 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7012946Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.7013048Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.7013142Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7013237Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7013324Z              42 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7013402Z              44 BINARY_SUBSCR
2022-11-23T01:30:20.7013489Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.7013563Z              48 RETURN_VALUE
2022-11-23T01:30:20.7013568Z 
2022-11-23T01:30:20.7013628Z  
2022-11-23T01:30:20.7013812Z [2022-11-23 01:28:49,888] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7013882Z  - 
2022-11-23T01:30:20.7014000Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7014063Z             {
2022-11-23T01:30:20.7014191Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7014376Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.7014497Z                 'obj_weakref': None
2022-11-23T01:30:20.7014722Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7014786Z             }
2022-11-23T01:30:20.7014848Z             
2022-11-23T01:30:20.7014915Z  - 
2022-11-23T01:30:20.7015055Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7015118Z             {
2022-11-23T01:30:20.7015259Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7015364Z                 'code': None,
2022-11-23T01:30:20.7015576Z                 'obj_weakref': <weakref at 0x7ff57eceda30; to 'Tensor' at 0x7ff58fe99030>
2022-11-23T01:30:20.7015828Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7015890Z             }
2022-11-23T01:30:20.7015940Z             
2022-11-23T01:30:20.7016008Z  - 
2022-11-23T01:30:20.7016174Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7016240Z             {
2022-11-23T01:30:20.7016375Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7016672Z                 'code': ['___check_obj_id(model, 140692390476480)'],
2022-11-23T01:30:20.7016792Z                 'obj_weakref': None
2022-11-23T01:30:20.7017011Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7017075Z             }
2022-11-23T01:30:20.7017139Z             
2022-11-23T01:30:20.7017208Z  - 
2022-11-23T01:30:20.7017331Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7017395Z             {
2022-11-23T01:30:20.7017533Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7017736Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7017854Z                 'obj_weakref': None
2022-11-23T01:30:20.7018074Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7018141Z             }
2022-11-23T01:30:20.7018205Z             
2022-11-23T01:30:20.7018275Z  - 
2022-11-23T01:30:20.7018456Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.7018506Z             {
2022-11-23T01:30:20.7018676Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.7019225Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:30:20.7019351Z                 'obj_weakref': None
2022-11-23T01:30:20.7019572Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.7019636Z             }
2022-11-23T01:30:20.7019702Z             
2022-11-23T01:30:20.7019771Z  - 
2022-11-23T01:30:20.7019942Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.7020006Z             {
2022-11-23T01:30:20.7020150Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7020434Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:30:20.7020554Z                 'obj_weakref': None
2022-11-23T01:30:20.7020773Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7020838Z             }
2022-11-23T01:30:20.7020887Z             
2022-11-23T01:30:20.7020959Z  - 
2022-11-23T01:30:20.7021141Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.7021206Z             {
2022-11-23T01:30:20.7021346Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7021633Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:30:20.7021753Z                 'obj_weakref': None
2022-11-23T01:30:20.7021973Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7022069Z             }
2022-11-23T01:30:20.7022133Z             
2022-11-23T01:30:20.7022395Z [2022-11-23 01:28:49,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 443
2022-11-23T01:30:20.7022760Z [2022-11-23 01:28:51,595] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jo/cjop4qsvscbhj2koz5eiscf6ydunxx6rslkt6c3t3et7blwsjoli.py
2022-11-23T01:30:20.7023026Z [2022-11-23 01:28:51,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 443
2022-11-23T01:30:20.7023266Z [2022-11-23 01:28:51,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7023614Z [2022-11-23 01:28:51,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7023831Z [2022-11-23 01:28:51,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7024072Z [2022-11-23 01:28:51,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7024350Z [2022-11-23 01:28:51,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7024673Z [2022-11-23 01:28:51,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7025020Z [2022-11-23 01:28:51,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7025343Z [2022-11-23 01:28:51,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7025718Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:30:20.7025812Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7025905Z               2 LOAD_CONST               1 (2)
2022-11-23T01:30:20.7025986Z               4 BINARY_MULTIPLY
2022-11-23T01:30:20.7026078Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.7026156Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.7026243Z              10 CALL_METHOD              1
2022-11-23T01:30:20.7026334Z              12 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7026407Z              14 BINARY_ADD
2022-11-23T01:30:20.7026493Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.7026570Z              18 RETURN_VALUE
2022-11-23T01:30:20.7026629Z  
2022-11-23T01:30:20.7026635Z 
2022-11-23T01:30:20.7026936Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:30:20.7027144Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.7027382Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.7027671Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7027910Z [2022-11-23 01:28:51,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.7028192Z [2022-11-23 01:28:51,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.7028494Z [2022-11-23 01:28:51,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.7028729Z [2022-11-23 01:28:51,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.7029032Z [2022-11-23 01:28:51,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7029261Z [2022-11-23 01:28:51,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7029500Z [2022-11-23 01:28:51,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7029875Z [2022-11-23 01:28:51,603] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:30:20.7030115Z [2022-11-23 01:28:51,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7030374Z [2022-11-23 01:28:51,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7030626Z [2022-11-23 01:28:51,605] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7030877Z [2022-11-23 01:28:51,608] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7031066Z [2022-11-23 01:28:51,608] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7031199Z  __compiled_fn_452 <eval_with_key>.3531 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7031288Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7031447Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:30:20.7031586Z call_method, view, view, (mul, [4, -1]), {}
2022-11-23T01:30:20.7031754Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:30:20.7031852Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7031859Z 
2022-11-23T01:30:20.7032182Z [2022-11-23 01:28:51,609] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7032273Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7032364Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7032437Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7032529Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7032612Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7032700Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7032775Z              12 RETURN_VALUE
2022-11-23T01:30:20.7032780Z 
2022-11-23T01:30:20.7032840Z  
2022-11-23T01:30:20.7033158Z [2022-11-23 01:28:51,609] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7033267Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_452)
2022-11-23T01:30:20.7033345Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7033433Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7033509Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7033594Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.7033697Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7033896Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.7033995Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.7034069Z              16 CALL_FUNCTION            0
2022-11-23T01:30:20.7034163Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.7034267Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7034358Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7034433Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.7034523Z              26 BUILD_TUPLE              1
2022-11-23T01:30:20.7034614Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7034713Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7034787Z              32 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7034862Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.7034992Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.7035083Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7035179Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7035265Z              42 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7035338Z              44 BINARY_SUBSCR
2022-11-23T01:30:20.7035426Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.7035502Z              48 RETURN_VALUE
2022-11-23T01:30:20.7035508Z 
2022-11-23T01:30:20.7035567Z  
2022-11-23T01:30:20.7035758Z [2022-11-23 01:28:51,610] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7035854Z  - 
2022-11-23T01:30:20.7035973Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7036035Z             {
2022-11-23T01:30:20.7036164Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7036349Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.7036470Z                 'obj_weakref': None
2022-11-23T01:30:20.7036698Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7036763Z             }
2022-11-23T01:30:20.7036826Z             
2022-11-23T01:30:20.7036893Z  - 
2022-11-23T01:30:20.7037004Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7037066Z             {
2022-11-23T01:30:20.7037207Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7037316Z                 'code': None,
2022-11-23T01:30:20.7037527Z                 'obj_weakref': <weakref at 0x7ff57ed66570; to 'Tensor' at 0x7ff58fe99030>
2022-11-23T01:30:20.7037779Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7037842Z             }
2022-11-23T01:30:20.7037892Z             
2022-11-23T01:30:20.7037959Z  - 
2022-11-23T01:30:20.7038087Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7038152Z             {
2022-11-23T01:30:20.7038288Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7038454Z                 'code': ['___check_obj_id(model, 140692390477488)'],
2022-11-23T01:30:20.7038573Z                 'obj_weakref': None
2022-11-23T01:30:20.7038788Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7038850Z             }
2022-11-23T01:30:20.7038911Z             
2022-11-23T01:30:20.7038978Z  - 
2022-11-23T01:30:20.7039097Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7039158Z             {
2022-11-23T01:30:20.7039292Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7039497Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7039613Z                 'obj_weakref': None
2022-11-23T01:30:20.7039829Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7039894Z             }
2022-11-23T01:30:20.7039956Z             
2022-11-23T01:30:20.7040023Z  - 
2022-11-23T01:30:20.7040199Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.7040249Z             {
2022-11-23T01:30:20.7040415Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.7040958Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:30:20.7041079Z                 'obj_weakref': None
2022-11-23T01:30:20.7041298Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.7041361Z             }
2022-11-23T01:30:20.7041422Z             
2022-11-23T01:30:20.7041489Z  - 
2022-11-23T01:30:20.7041685Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.7041747Z             {
2022-11-23T01:30:20.7041889Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7042167Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:30:20.7042287Z                 'obj_weakref': None
2022-11-23T01:30:20.7042504Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7042566Z             }
2022-11-23T01:30:20.7042641Z             
2022-11-23T01:30:20.7042708Z  - 
2022-11-23T01:30:20.7042893Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.7042954Z             {
2022-11-23T01:30:20.7043093Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7043377Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:30:20.7043494Z                 'obj_weakref': None
2022-11-23T01:30:20.7043713Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7043763Z             }
2022-11-23T01:30:20.7043823Z             
2022-11-23T01:30:20.7044085Z [2022-11-23 01:28:51,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 444
2022-11-23T01:30:20.7044450Z [2022-11-23 01:28:53,338] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2bdwrbl47nfa33bdgiagdwab2uam4r3rtozntxhwjogw66ird4.py
2022-11-23T01:30:20.7044717Z [2022-11-23 01:28:53,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 444
2022-11-23T01:30:20.7044952Z [2022-11-23 01:28:53,343] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7045265Z [2022-11-23 01:28:53,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7045481Z [2022-11-23 01:28:53,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7045719Z [2022-11-23 01:28:53,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7045995Z [2022-11-23 01:28:53,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7046314Z [2022-11-23 01:28:53,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7046661Z [2022-11-23 01:28:53,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7046985Z [2022-11-23 01:28:53,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7047360Z [2022-11-23 01:28:53,345] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:30:20.7047451Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7047544Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.7047637Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.7047724Z               6 CALL_METHOD              1
2022-11-23T01:30:20.7047800Z               8 LOAD_CONST               1 (1)
2022-11-23T01:30:20.7047873Z              10 BINARY_ADD
2022-11-23T01:30:20.7047961Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.7048036Z              14 RETURN_VALUE
2022-11-23T01:30:20.7048097Z  
2022-11-23T01:30:20.7048102Z 
2022-11-23T01:30:20.7048452Z [2022-11-23 01:28:53,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:30:20.7048664Z [2022-11-23 01:28:53,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.7048904Z [2022-11-23 01:28:53,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.7049169Z [2022-11-23 01:28:53,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.7049469Z [2022-11-23 01:28:53,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.7049735Z [2022-11-23 01:28:53,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.7050015Z [2022-11-23 01:28:53,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7050255Z [2022-11-23 01:28:53,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7050498Z [2022-11-23 01:28:53,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7050873Z [2022-11-23 01:28:53,349] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:30:20.7051118Z [2022-11-23 01:28:53,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7051347Z [2022-11-23 01:28:53,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7051589Z [2022-11-23 01:28:53,351] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7051840Z [2022-11-23 01:28:53,355] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7052026Z [2022-11-23 01:28:53,356] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7052159Z  __compiled_fn_453 <eval_with_key>.3537 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7052248Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7052394Z call_method, view, view, (ex_0_, [-1, 100]), {}
2022-11-23T01:30:20.7052563Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:30:20.7052656Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7052662Z 
2022-11-23T01:30:20.7052985Z [2022-11-23 01:28:53,356] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7053068Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7053156Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7053241Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7053331Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7053417Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7053503Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7053577Z              12 RETURN_VALUE
2022-11-23T01:30:20.7053582Z 
2022-11-23T01:30:20.7053631Z  
2022-11-23T01:30:20.7053953Z [2022-11-23 01:28:53,357] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7054058Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_453)
2022-11-23T01:30:20.7054149Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7054236Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7054314Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7054400Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.7054500Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7054615Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.7054738Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.7054827Z              16 CALL_FUNCTION            0
2022-11-23T01:30:20.7054920Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.7055019Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7055106Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7055180Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.7055255Z              26 BUILD_TUPLE              1
2022-11-23T01:30:20.7055346Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7055441Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7055551Z              32 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7055625Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.7055726Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.7055815Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7055901Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7055986Z              42 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7056060Z              44 BINARY_SUBSCR
2022-11-23T01:30:20.7056160Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.7056234Z              48 RETURN_VALUE
2022-11-23T01:30:20.7056238Z 
2022-11-23T01:30:20.7056301Z  
2022-11-23T01:30:20.7056612Z [2022-11-23 01:28:53,358] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7056682Z  - 
2022-11-23T01:30:20.7056789Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7056853Z             {
2022-11-23T01:30:20.7056995Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7057184Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.7057303Z                 'obj_weakref': None
2022-11-23T01:30:20.7057526Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7057590Z             }
2022-11-23T01:30:20.7057642Z             
2022-11-23T01:30:20.7057711Z  - 
2022-11-23T01:30:20.7057834Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7057898Z             {
2022-11-23T01:30:20.7058043Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7058148Z                 'code': None,
2022-11-23T01:30:20.7058350Z                 'obj_weakref': <weakref at 0x7ff57ed632e0; to 'Tensor' at 0x7ff58fc45e40>
2022-11-23T01:30:20.7058605Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7058670Z             }
2022-11-23T01:30:20.7058734Z             
2022-11-23T01:30:20.7058802Z  - 
2022-11-23T01:30:20.7058929Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7058991Z             {
2022-11-23T01:30:20.7059111Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7059275Z                 'code': ['___check_obj_id(model, 140692390476480)'],
2022-11-23T01:30:20.7059393Z                 'obj_weakref': None
2022-11-23T01:30:20.7059623Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7059686Z             }
2022-11-23T01:30:20.7059751Z             
2022-11-23T01:30:20.7059824Z  - 
2022-11-23T01:30:20.7059932Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7059996Z             {
2022-11-23T01:30:20.7060134Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7060353Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7060472Z                 'obj_weakref': None
2022-11-23T01:30:20.7060696Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7060762Z             }
2022-11-23T01:30:20.7060827Z             
2022-11-23T01:30:20.7060883Z  - 
2022-11-23T01:30:20.7061061Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.7061170Z             {
2022-11-23T01:30:20.7061339Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.7061895Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:30:20.7062015Z                 'obj_weakref': None
2022-11-23T01:30:20.7062236Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.7062332Z             }
2022-11-23T01:30:20.7062383Z             
2022-11-23T01:30:20.7062454Z  - 
2022-11-23T01:30:20.7062640Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.7062704Z             {
2022-11-23T01:30:20.7062849Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7063135Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:30:20.7063254Z                 'obj_weakref': None
2022-11-23T01:30:20.7063459Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7063523Z             }
2022-11-23T01:30:20.7063587Z             
2022-11-23T01:30:20.7063656Z  - 
2022-11-23T01:30:20.7063842Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.7063908Z             {
2022-11-23T01:30:20.7064052Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7064321Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:30:20.7064439Z                 'obj_weakref': None
2022-11-23T01:30:20.7064663Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7064727Z             }
2022-11-23T01:30:20.7064791Z             
2022-11-23T01:30:20.7065052Z [2022-11-23 01:28:53,366] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 445
2022-11-23T01:30:20.7065424Z [2022-11-23 01:28:55,420] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/v4/cv4miannhi5noizfwpjmkan7jqpmrjop4b6nr2m342hxhitzauqg.py
2022-11-23T01:30:20.7065689Z [2022-11-23 01:28:55,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 445
2022-11-23T01:30:20.7065914Z [2022-11-23 01:28:55,424] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7066228Z [2022-11-23 01:28:55,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7066448Z [2022-11-23 01:28:55,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7066703Z [2022-11-23 01:28:55,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7066983Z [2022-11-23 01:28:55,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7067303Z [2022-11-23 01:28:55,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7067648Z [2022-11-23 01:28:55,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7067975Z [2022-11-23 01:28:55,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7068374Z [2022-11-23 01:28:55,425] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:30:20.7068470Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7068550Z               2 LOAD_CONST               1 (2)
2022-11-23T01:30:20.7068631Z               4 BINARY_MULTIPLY
2022-11-23T01:30:20.7068723Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.7068816Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.7068904Z              10 CALL_METHOD              1
2022-11-23T01:30:20.7068994Z              12 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7069068Z              14 BINARY_ADD
2022-11-23T01:30:20.7069172Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.7069249Z              18 RETURN_VALUE
2022-11-23T01:30:20.7069311Z  
2022-11-23T01:30:20.7069318Z 
2022-11-23T01:30:20.7069630Z [2022-11-23 01:28:55,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:30:20.7069841Z [2022-11-23 01:28:55,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.7070080Z [2022-11-23 01:28:55,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.7070368Z [2022-11-23 01:28:55,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7070606Z [2022-11-23 01:28:55,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.7070884Z [2022-11-23 01:28:55,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.7071173Z [2022-11-23 01:28:55,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.7071407Z [2022-11-23 01:28:55,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.7071685Z [2022-11-23 01:28:55,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7071923Z [2022-11-23 01:28:55,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7072162Z [2022-11-23 01:28:55,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7072534Z [2022-11-23 01:28:55,428] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:30:20.7072777Z [2022-11-23 01:28:55,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7073005Z [2022-11-23 01:28:55,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7073259Z [2022-11-23 01:28:55,430] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7073505Z [2022-11-23 01:28:55,433] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7073679Z [2022-11-23 01:28:55,434] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7073890Z  __compiled_fn_454 <eval_with_key>.3543 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7073981Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7074156Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:30:20.7074297Z call_method, view, view, (mul, [-1, 100]), {}
2022-11-23T01:30:20.7074466Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:30:20.7074561Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7074568Z 
2022-11-23T01:30:20.7074887Z [2022-11-23 01:28:55,434] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7075006Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7075097Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7075183Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7075274Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7075357Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7075444Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7075518Z              12 RETURN_VALUE
2022-11-23T01:30:20.7075523Z 
2022-11-23T01:30:20.7075573Z  
2022-11-23T01:30:20.7075891Z [2022-11-23 01:28:55,434] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7076026Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_454)
2022-11-23T01:30:20.7076115Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7076202Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7076277Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7076366Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.7076468Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7076583Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.7076677Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.7076766Z              16 CALL_FUNCTION            0
2022-11-23T01:30:20.7076861Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.7076961Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7077049Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7077126Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.7077199Z              26 BUILD_TUPLE              1
2022-11-23T01:30:20.7077290Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7077386Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7077475Z              32 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7077550Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.7077648Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.7077737Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7077821Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7077907Z              42 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7077981Z              44 BINARY_SUBSCR
2022-11-23T01:30:20.7078079Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.7078152Z              48 RETURN_VALUE
2022-11-23T01:30:20.7078157Z 
2022-11-23T01:30:20.7078219Z  
2022-11-23T01:30:20.7078402Z [2022-11-23 01:28:55,436] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7078472Z  - 
2022-11-23T01:30:20.7078578Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7078642Z             {
2022-11-23T01:30:20.7078782Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7078967Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.7079089Z                 'obj_weakref': None
2022-11-23T01:30:20.7079311Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7079375Z             }
2022-11-23T01:30:20.7079425Z             
2022-11-23T01:30:20.7079492Z  - 
2022-11-23T01:30:20.7079615Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7079676Z             {
2022-11-23T01:30:20.7079815Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7079920Z                 'code': None,
2022-11-23T01:30:20.7080123Z                 'obj_weakref': <weakref at 0x7ff58fc4cf40; to 'Tensor' at 0x7ff58f91ade0>
2022-11-23T01:30:20.7080375Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7080439Z             }
2022-11-23T01:30:20.7080502Z             
2022-11-23T01:30:20.7080569Z  - 
2022-11-23T01:30:20.7080745Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7080808Z             {
2022-11-23T01:30:20.7080929Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7081095Z                 'code': ['___check_obj_id(model, 140692390477488)'],
2022-11-23T01:30:20.7081212Z                 'obj_weakref': None
2022-11-23T01:30:20.7081438Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7081502Z             }
2022-11-23T01:30:20.7081563Z             
2022-11-23T01:30:20.7081631Z  - 
2022-11-23T01:30:20.7081738Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7081827Z             {
2022-11-23T01:30:20.7081960Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7082175Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7082292Z                 'obj_weakref': None
2022-11-23T01:30:20.7082510Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7082572Z             }
2022-11-23T01:30:20.7082633Z             
2022-11-23T01:30:20.7082688Z  - 
2022-11-23T01:30:20.7082865Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.7082928Z             {
2022-11-23T01:30:20.7083094Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.7083638Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:30:20.7083757Z                 'obj_weakref': None
2022-11-23T01:30:20.7083976Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.7084038Z             }
2022-11-23T01:30:20.7084091Z             
2022-11-23T01:30:20.7084158Z  - 
2022-11-23T01:30:20.7084340Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.7084403Z             {
2022-11-23T01:30:20.7084543Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7084827Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:30:20.7084944Z                 'obj_weakref': None
2022-11-23T01:30:20.7085150Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7085214Z             }
2022-11-23T01:30:20.7085275Z             
2022-11-23T01:30:20.7085342Z  - 
2022-11-23T01:30:20.7085524Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.7085587Z             {
2022-11-23T01:30:20.7085730Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7086002Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:30:20.7086118Z                 'obj_weakref': None
2022-11-23T01:30:20.7086337Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7086400Z             }
2022-11-23T01:30:20.7086462Z             
2022-11-23T01:30:20.7086719Z [2022-11-23 01:28:55,442] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 446
2022-11-23T01:30:20.7087083Z [2022-11-23 01:28:57,483] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xc/cxc7iqc64vrcf6kdmyp4r3qbyqqtkyig37q2eyqpql6argndpp5v.py
2022-11-23T01:30:20.7087346Z [2022-11-23 01:28:57,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 446
2022-11-23T01:30:20.7087595Z [2022-11-23 01:28:57,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7087910Z [2022-11-23 01:28:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7088125Z [2022-11-23 01:28:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7088375Z [2022-11-23 01:28:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7088647Z [2022-11-23 01:28:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7088964Z [2022-11-23 01:28:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7089336Z [2022-11-23 01:28:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7089656Z [2022-11-23 01:28:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7090030Z [2022-11-23 01:28:57,489] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7ff64d19b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963> 
2022-11-23T01:30:20.7090120Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7090201Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.7090293Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.7090381Z               6 CALL_METHOD              1
2022-11-23T01:30:20.7090469Z               8 LOAD_CONST               1 (1)
2022-11-23T01:30:20.7090542Z              10 BINARY_ADD
2022-11-23T01:30:20.7090628Z              12 BUILD_TUPLE              1
2022-11-23T01:30:20.7090703Z              14 RETURN_VALUE
2022-11-23T01:30:20.7090752Z  
2022-11-23T01:30:20.7090758Z 
2022-11-23T01:30:20.7091074Z [2022-11-23 01:28:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:964
2022-11-23T01:30:20.7091280Z [2022-11-23 01:28:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.7091521Z [2022-11-23 01:28:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.7091804Z [2022-11-23 01:28:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.7092103Z [2022-11-23 01:28:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.7092340Z [2022-11-23 01:28:57,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.7092622Z [2022-11-23 01:28:57,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7092860Z [2022-11-23 01:28:57,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7093102Z [2022-11-23 01:28:57,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7093467Z [2022-11-23 01:28:57,491] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7ff64d19b7e0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 963>
2022-11-23T01:30:20.7093708Z [2022-11-23 01:28:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7093942Z [2022-11-23 01:28:57,492] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7094193Z [2022-11-23 01:28:57,493] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7094483Z [2022-11-23 01:28:57,496] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7094671Z [2022-11-23 01:28:57,496] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7094803Z  __compiled_fn_455 <eval_with_key>.3549 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7094891Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7095040Z call_method, view, view, (ex_0_, [10, -1, 20]), {}
2022-11-23T01:30:20.7095197Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:30:20.7095289Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7095295Z 
2022-11-23T01:30:20.7095619Z [2022-11-23 01:28:57,497] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7095762Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7095853Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7095939Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7096033Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7096106Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7096193Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7096267Z              12 RETURN_VALUE
2022-11-23T01:30:20.7096272Z 
2022-11-23T01:30:20.7096331Z  
2022-11-23T01:30:20.7096802Z [2022-11-23 01:28:57,497] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7096910Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_455)
2022-11-23T01:30:20.7097000Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7097092Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7097156Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7097242Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.7097344Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7097472Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.7097570Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.7097656Z              16 CALL_FUNCTION            0
2022-11-23T01:30:20.7097753Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.7097854Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7097931Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7098007Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.7098093Z              26 BUILD_TUPLE              1
2022-11-23T01:30:20.7098185Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7098287Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7098372Z              32 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7098447Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.7098534Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.7098626Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7098721Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7098807Z              42 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7098880Z              44 BINARY_SUBSCR
2022-11-23T01:30:20.7098979Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.7099052Z              48 RETURN_VALUE
2022-11-23T01:30:20.7099057Z 
2022-11-23T01:30:20.7099105Z  
2022-11-23T01:30:20.7099295Z [2022-11-23 01:28:57,498] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7099363Z  - 
2022-11-23T01:30:20.7099480Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7099546Z             {
2022-11-23T01:30:20.7099686Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7099871Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.7099978Z                 'obj_weakref': None
2022-11-23T01:30:20.7100247Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7100313Z             }
2022-11-23T01:30:20.7100375Z             
2022-11-23T01:30:20.7100444Z  - 
2022-11-23T01:30:20.7100566Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7100628Z             {
2022-11-23T01:30:20.7100757Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7100863Z                 'code': None,
2022-11-23T01:30:20.7101076Z                 'obj_weakref': <weakref at 0x7ff57ecef470; to 'Tensor' at 0x7ff58f91ade0>
2022-11-23T01:30:20.7101330Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7101428Z             }
2022-11-23T01:30:20.7101492Z             
2022-11-23T01:30:20.7101560Z  - 
2022-11-23T01:30:20.7101678Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7101740Z             {
2022-11-23T01:30:20.7101872Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7102041Z                 'code': ['___check_obj_id(model, 140692390476480)'],
2022-11-23T01:30:20.7102158Z                 'obj_weakref': None
2022-11-23T01:30:20.7102384Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7102448Z             }
2022-11-23T01:30:20.7102500Z             
2022-11-23T01:30:20.7102567Z  - 
2022-11-23T01:30:20.7102686Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7102748Z             {
2022-11-23T01:30:20.7102880Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7103094Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7103214Z                 'obj_weakref': None
2022-11-23T01:30:20.7103421Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7103481Z             }
2022-11-23T01:30:20.7103544Z             
2022-11-23T01:30:20.7103613Z  - 
2022-11-23T01:30:20.7103794Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.7103858Z             {
2022-11-23T01:30:20.7104026Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.7104678Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:30:20.7104789Z                 'obj_weakref': None
2022-11-23T01:30:20.7105013Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.7105081Z             }
2022-11-23T01:30:20.7105145Z             
2022-11-23T01:30:20.7105213Z  - 
2022-11-23T01:30:20.7105399Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.7105463Z             {
2022-11-23T01:30:20.7105593Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7105880Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.7106000Z                 'obj_weakref': None
2022-11-23T01:30:20.7106223Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7106288Z             }
2022-11-23T01:30:20.7106351Z             
2022-11-23T01:30:20.7106420Z  - 
2022-11-23T01:30:20.7106607Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.7106657Z             {
2022-11-23T01:30:20.7106798Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7107108Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:30:20.7107229Z                 'obj_weakref': None
2022-11-23T01:30:20.7107449Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7107515Z             }
2022-11-23T01:30:20.7107578Z             
2022-11-23T01:30:20.7107634Z  - 
2022-11-23T01:30:20.7107818Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.7107883Z             {
2022-11-23T01:30:20.7108025Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7108307Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:30:20.7108455Z                 'obj_weakref': None
2022-11-23T01:30:20.7108674Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7108724Z             }
2022-11-23T01:30:20.7108787Z             
2022-11-23T01:30:20.7109048Z [2022-11-23 01:28:57,503] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 447
2022-11-23T01:30:20.7109055Z 
2022-11-23T01:30:20.7109151Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7109225Z import torch
2022-11-23T01:30:20.7109296Z import random
2022-11-23T01:30:20.7109411Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7109533Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7109538Z 
2022-11-23T01:30:20.7109603Z aten = torch.ops.aten
2022-11-23T01:30:20.7109738Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7109835Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7109840Z 
2022-11-23T01:30:20.7109845Z 
2022-11-23T01:30:20.7109980Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7110188Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7110310Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7110409Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7110469Z {
2022-11-23T01:30:20.7110555Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7110618Z     {
2022-11-23T01:30:20.7110695Z         #pragma omp for 
2022-11-23T01:30:20.7110777Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.7110842Z         {
2022-11-23T01:30:20.7110983Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7111115Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.7111187Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7111279Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7111343Z         }
2022-11-23T01:30:20.7111437Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7111519Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.7111580Z         {
2022-11-23T01:30:20.7111660Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7111748Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.7111830Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7111909Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7111970Z         }
2022-11-23T01:30:20.7112030Z     }
2022-11-23T01:30:20.7112089Z }
2022-11-23T01:30:20.7112153Z ''')
2022-11-23T01:30:20.7112171Z 
2022-11-23T01:30:20.7112176Z 
2022-11-23T01:30:20.7112250Z async_compile.wait(globals())
2022-11-23T01:30:20.7112320Z del async_compile
2022-11-23T01:30:20.7112325Z 
2022-11-23T01:30:20.7112396Z def call(args):
2022-11-23T01:30:20.7112464Z     arg0_1, = args
2022-11-23T01:30:20.7112537Z     args.clear()
2022-11-23T01:30:20.7112731Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7112862Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7112919Z     del arg0_1
2022-11-23T01:30:20.7112988Z     return (buf0, )
2022-11-23T01:30:20.7112993Z 
2022-11-23T01:30:20.7112997Z 
2022-11-23T01:30:20.7113103Z if __name__ == "__main__":
2022-11-23T01:30:20.7113216Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7113336Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7113544Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7113650Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7113654Z 
2022-11-23T01:30:20.7113658Z 
2022-11-23T01:30:20.7113750Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7113877Z import torch
2022-11-23T01:30:20.7113947Z import random
2022-11-23T01:30:20.7114095Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7114215Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7114220Z 
2022-11-23T01:30:20.7114299Z aten = torch.ops.aten
2022-11-23T01:30:20.7114432Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7114522Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7114529Z 
2022-11-23T01:30:20.7114533Z 
2022-11-23T01:30:20.7114667Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7114857Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7114976Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7115075Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7115136Z {
2022-11-23T01:30:20.7115231Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7115294Z     {
2022-11-23T01:30:20.7115368Z         #pragma omp for 
2022-11-23T01:30:20.7115437Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.7115500Z         {
2022-11-23T01:30:20.7115632Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7115762Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.7115846Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.7115976Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.7116060Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.7116149Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7116199Z         }
2022-11-23T01:30:20.7116292Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7116374Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:30:20.7116434Z         {
2022-11-23T01:30:20.7116514Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7116610Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:20.7116680Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.7116780Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:20.7116861Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.7116938Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.7117000Z         }
2022-11-23T01:30:20.7117062Z     }
2022-11-23T01:30:20.7117120Z }
2022-11-23T01:30:20.7117185Z ''')
2022-11-23T01:30:20.7117189Z 
2022-11-23T01:30:20.7117205Z 
2022-11-23T01:30:20.7117282Z async_compile.wait(globals())
2022-11-23T01:30:20.7117354Z del async_compile
2022-11-23T01:30:20.7117358Z 
2022-11-23T01:30:20.7117427Z def call(args):
2022-11-23T01:30:20.7117494Z     arg0_1, = args
2022-11-23T01:30:20.7117562Z     args.clear()
2022-11-23T01:30:20.7117755Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7117885Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7117940Z     del arg0_1
2022-11-23T01:30:20.7118009Z     return (buf0, )
2022-11-23T01:30:20.7118013Z 
2022-11-23T01:30:20.7118017Z 
2022-11-23T01:30:20.7118095Z if __name__ == "__main__":
2022-11-23T01:30:20.7118205Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7118329Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7118538Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7118672Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7118678Z 
2022-11-23T01:30:20.7118681Z 
2022-11-23T01:30:20.7118774Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7118830Z import torch
2022-11-23T01:30:20.7118897Z import random
2022-11-23T01:30:20.7119009Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7119126Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7119131Z 
2022-11-23T01:30:20.7119207Z aten = torch.ops.aten
2022-11-23T01:30:20.7119336Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7119424Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7119461Z 
2022-11-23T01:30:20.7119465Z 
2022-11-23T01:30:20.7119598Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7119789Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7119906Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7120007Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7120066Z {
2022-11-23T01:30:20.7120162Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7120221Z     {
2022-11-23T01:30:20.7120296Z         #pragma omp for 
2022-11-23T01:30:20.7120367Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.7120427Z         {
2022-11-23T01:30:20.7120557Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7120687Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.7120771Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7120860Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7120928Z         }
2022-11-23T01:30:20.7121009Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7121094Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.7121156Z         {
2022-11-23T01:30:20.7121242Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7121340Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.7121423Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7121500Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7121548Z         }
2022-11-23T01:30:20.7121611Z     }
2022-11-23T01:30:20.7121669Z }
2022-11-23T01:30:20.7121745Z ''')
2022-11-23T01:30:20.7121750Z 
2022-11-23T01:30:20.7121754Z 
2022-11-23T01:30:20.7121840Z async_compile.wait(globals())
2022-11-23T01:30:20.7121912Z del async_compile
2022-11-23T01:30:20.7121916Z 
2022-11-23T01:30:20.7121985Z def call(args):
2022-11-23T01:30:20.7122041Z     arg0_1, = args
2022-11-23T01:30:20.7122109Z     args.clear()
2022-11-23T01:30:20.7122312Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7122448Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7122515Z     del arg0_1
2022-11-23T01:30:20.7122585Z     return (buf0, )
2022-11-23T01:30:20.7122590Z 
2022-11-23T01:30:20.7122594Z 
2022-11-23T01:30:20.7122668Z if __name__ == "__main__":
2022-11-23T01:30:20.7122785Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7122895Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7123122Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7123228Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7123233Z 
2022-11-23T01:30:20.7123237Z 
2022-11-23T01:30:20.7123328Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7123397Z import torch
2022-11-23T01:30:20.7123466Z import random
2022-11-23T01:30:20.7123579Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7123688Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7123703Z 
2022-11-23T01:30:20.7123767Z aten = torch.ops.aten
2022-11-23T01:30:20.7123897Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7123988Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7123993Z 
2022-11-23T01:30:20.7124028Z 
2022-11-23T01:30:20.7124160Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7124363Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7124480Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7124579Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7124639Z {
2022-11-23T01:30:20.7124723Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7124782Z     {
2022-11-23T01:30:20.7124858Z         #pragma omp for 
2022-11-23T01:30:20.7124939Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.7125032Z         {
2022-11-23T01:30:20.7125162Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7125292Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.7125363Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.7125493Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.7125575Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.7125665Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7125731Z         }
2022-11-23T01:30:20.7125822Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7125907Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.7125958Z         {
2022-11-23T01:30:20.7126039Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7126137Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:20.7126221Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.7126316Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:20.7126401Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.7126479Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.7126529Z         }
2022-11-23T01:30:20.7126587Z     }
2022-11-23T01:30:20.7126646Z }
2022-11-23T01:30:20.7126723Z ''')
2022-11-23T01:30:20.7126728Z 
2022-11-23T01:30:20.7126732Z 
2022-11-23T01:30:20.7126825Z async_compile.wait(globals())
2022-11-23T01:30:20.7126897Z del async_compile
2022-11-23T01:30:20.7126901Z 
2022-11-23T01:30:20.7126970Z def call(args):
2022-11-23T01:30:20.7127026Z     arg0_1, = args
2022-11-23T01:30:20.7127094Z     args.clear()
2022-11-23T01:30:20.7127296Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7127428Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7127495Z     del arg0_1
2022-11-23T01:30:20.7127564Z     return (buf0, )
2022-11-23T01:30:20.7127569Z 
2022-11-23T01:30:20.7127573Z 
2022-11-23T01:30:20.7127647Z if __name__ == "__main__":
2022-11-23T01:30:20.7127761Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7127869Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7128095Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7128202Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7128207Z 
2022-11-23T01:30:20.7128576Z [2022-11-23 01:28:57,512] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwhvmzasa5vsctl6o7mjgacszarott6voqddkyupg735wi5dxnia.py
2022-11-23T01:30:20.7128842Z [2022-11-23 01:28:57,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 447
2022-11-23T01:30:20.7129076Z [2022-11-23 01:28:57,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7129389Z [2022-11-23 01:28:57,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7129607Z [2022-11-23 01:28:57,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7129861Z [2022-11-23 01:28:57,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7130153Z [2022-11-23 01:28:57,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7130473Z [2022-11-23 01:28:57,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7130818Z [2022-11-23 01:28:57,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7131140Z [2022-11-23 01:28:57,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7131541Z [2022-11-23 01:28:57,516] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7ff64d19b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966> 
2022-11-23T01:30:20.7131633Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7131721Z               2 LOAD_CONST               1 (2)
2022-11-23T01:30:20.7131803Z               4 BINARY_MULTIPLY
2022-11-23T01:30:20.7131897Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:30:20.7131976Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:30:20.7132061Z              10 CALL_METHOD              1
2022-11-23T01:30:20.7132148Z              12 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7132221Z              14 BINARY_ADD
2022-11-23T01:30:20.7132310Z              16 BUILD_TUPLE              1
2022-11-23T01:30:20.7132386Z              18 RETURN_VALUE
2022-11-23T01:30:20.7132447Z  
2022-11-23T01:30:20.7132452Z 
2022-11-23T01:30:20.7132753Z [2022-11-23 01:28:57,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:967
2022-11-23T01:30:20.7132963Z [2022-11-23 01:28:57,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:30:20.7133203Z [2022-11-23 01:28:57,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:30:20.7133495Z [2022-11-23 01:28:57,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7133734Z [2022-11-23 01:28:57,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:30:20.7134012Z [2022-11-23 01:28:57,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:30:20.7134309Z [2022-11-23 01:28:57,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:30:20.7134550Z [2022-11-23 01:28:57,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.7134825Z [2022-11-23 01:28:57,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7135064Z [2022-11-23 01:28:57,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7135294Z [2022-11-23 01:28:57,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7135670Z [2022-11-23 01:28:57,520] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7ff64d19b890, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 966>
2022-11-23T01:30:20.7135916Z [2022-11-23 01:28:57,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7136150Z [2022-11-23 01:28:57,520] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7136403Z [2022-11-23 01:28:57,521] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7136763Z [2022-11-23 01:28:57,524] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7137014Z [2022-11-23 01:28:57,525] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7137150Z  __compiled_fn_456 <eval_with_key>.3555 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7137239Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7137397Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:30:20.7137544Z call_method, view, view, (mul, [10, -1, 20]), {}
2022-11-23T01:30:20.7137713Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:30:20.7137807Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7137813Z 
2022-11-23T01:30:20.7138138Z [2022-11-23 01:28:57,525] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7138267Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7138359Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7138444Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7138526Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7138610Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7138698Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7138774Z              12 RETURN_VALUE
2022-11-23T01:30:20.7138780Z 
2022-11-23T01:30:20.7138841Z  
2022-11-23T01:30:20.7139167Z [2022-11-23 01:28:57,525] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7139275Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_456)
2022-11-23T01:30:20.7139351Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7139444Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7139522Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7139611Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.7139713Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7139844Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:30:20.7139942Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:30:20.7140029Z              16 CALL_FUNCTION            0
2022-11-23T01:30:20.7140111Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:30:20.7140211Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7140300Z              22 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7140379Z              24 BINARY_SUBSCR
2022-11-23T01:30:20.7140465Z              26 BUILD_TUPLE              1
2022-11-23T01:30:20.7140557Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7140657Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7140732Z              32 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7140809Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.7140910Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:30:20.7141004Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7141103Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:30:20.7141190Z              42 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7141267Z              44 BINARY_SUBSCR
2022-11-23T01:30:20.7141354Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:30:20.7141429Z              48 RETURN_VALUE
2022-11-23T01:30:20.7141434Z 
2022-11-23T01:30:20.7141496Z  
2022-11-23T01:30:20.7141682Z [2022-11-23 01:28:57,526] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7141753Z  - 
2022-11-23T01:30:20.7141875Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7141943Z             {
2022-11-23T01:30:20.7142073Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7142260Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.7142382Z                 'obj_weakref': None
2022-11-23T01:30:20.7142640Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7142708Z             }
2022-11-23T01:30:20.7142773Z             
2022-11-23T01:30:20.7142842Z  - 
2022-11-23T01:30:20.7142954Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7143018Z             {
2022-11-23T01:30:20.7143163Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7143271Z                 'code': None,
2022-11-23T01:30:20.7143484Z                 'obj_weakref': <weakref at 0x7ff58fc4f9c0; to 'Tensor' at 0x7ff58f91ade0>
2022-11-23T01:30:20.7143740Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7143835Z             }
2022-11-23T01:30:20.7143885Z             
2022-11-23T01:30:20.7143956Z  - 
2022-11-23T01:30:20.7144087Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7144151Z             {
2022-11-23T01:30:20.7144283Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7144456Z                 'code': ['___check_obj_id(model, 140692390477488)'],
2022-11-23T01:30:20.7144575Z                 'obj_weakref': None
2022-11-23T01:30:20.7144792Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7144858Z             }
2022-11-23T01:30:20.7144922Z             
2022-11-23T01:30:20.7144991Z  - 
2022-11-23T01:30:20.7145112Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7145176Z             {
2022-11-23T01:30:20.7145309Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7145512Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7145630Z                 'obj_weakref': None
2022-11-23T01:30:20.7145846Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7145907Z             }
2022-11-23T01:30:20.7145970Z             
2022-11-23T01:30:20.7146036Z  - 
2022-11-23T01:30:20.7146217Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:30:20.7146267Z             {
2022-11-23T01:30:20.7146432Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:30:20.7147074Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94571819097664)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', '___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:30:20.7147194Z                 'obj_weakref': None
2022-11-23T01:30:20.7147413Z                 'guarded_class': <weakref at 0x7ff64e20dc60; to 'type' at 0x560337aede40 (list)>
2022-11-23T01:30:20.7147475Z             }
2022-11-23T01:30:20.7147536Z             
2022-11-23T01:30:20.7147602Z  - 
2022-11-23T01:30:20.7147784Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:30:20.7147835Z             {
2022-11-23T01:30:20.7147977Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7148261Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94571819095424)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:30:20.7148377Z                 'obj_weakref': None
2022-11-23T01:30:20.7148597Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7148658Z             }
2022-11-23T01:30:20.7148720Z             
2022-11-23T01:30:20.7148775Z  - 
2022-11-23T01:30:20.7148960Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:30:20.7149022Z             {
2022-11-23T01:30:20.7149163Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7149476Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94571819095424)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:30:20.7149596Z                 'obj_weakref': None
2022-11-23T01:30:20.7149817Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7149868Z             }
2022-11-23T01:30:20.7149929Z             
2022-11-23T01:30:20.7149996Z  - 
2022-11-23T01:30:20.7150179Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:30:20.7150241Z             {
2022-11-23T01:30:20.7150379Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7150659Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94571819095424)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:30:20.7150810Z                 'obj_weakref': None
2022-11-23T01:30:20.7151017Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7151078Z             }
2022-11-23T01:30:20.7151140Z             
2022-11-23T01:30:20.7151400Z [2022-11-23 01:28:57,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 448
2022-11-23T01:30:20.7151765Z [2022-11-23 01:28:57,541] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5pjuze22gts3uyprtv4kxsok66ldicfujnijdp73i656yorx5u6.py
2022-11-23T01:30:20.7152028Z [2022-11-23 01:28:57,541] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 448
2022-11-23T01:30:20.7152035Z 
2022-11-23T01:30:20.7152127Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7152194Z import torch
2022-11-23T01:30:20.7152249Z import random
2022-11-23T01:30:20.7152365Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7152484Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7152488Z 
2022-11-23T01:30:20.7152565Z aten = torch.ops.aten
2022-11-23T01:30:20.7152697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7152787Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7152794Z 
2022-11-23T01:30:20.7152799Z 
2022-11-23T01:30:20.7152929Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7153135Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7153241Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7153340Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7153399Z {
2022-11-23T01:30:20.7153496Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7153557Z     {
2022-11-23T01:30:20.7153633Z         #pragma omp for 
2022-11-23T01:30:20.7153702Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.7153767Z         {
2022-11-23T01:30:20.7154001Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7154136Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.7154223Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7154315Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7154378Z         }
2022-11-23T01:30:20.7154471Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7154544Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.7154605Z         {
2022-11-23T01:30:20.7154687Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7154784Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.7154867Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7154947Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7155009Z         }
2022-11-23T01:30:20.7155058Z     }
2022-11-23T01:30:20.7155117Z }
2022-11-23T01:30:20.7155204Z ''')
2022-11-23T01:30:20.7155210Z 
2022-11-23T01:30:20.7155214Z 
2022-11-23T01:30:20.7155303Z async_compile.wait(globals())
2022-11-23T01:30:20.7155376Z del async_compile
2022-11-23T01:30:20.7155381Z 
2022-11-23T01:30:20.7155451Z def call(args):
2022-11-23T01:30:20.7155520Z     arg0_1, = args
2022-11-23T01:30:20.7155578Z     args.clear()
2022-11-23T01:30:20.7155824Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7155962Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7156030Z     del arg0_1
2022-11-23T01:30:20.7156100Z     return (buf0, )
2022-11-23T01:30:20.7156105Z 
2022-11-23T01:30:20.7156110Z 
2022-11-23T01:30:20.7156183Z if __name__ == "__main__":
2022-11-23T01:30:20.7156296Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7156404Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7156602Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7156737Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7156742Z 
2022-11-23T01:30:20.7156746Z 
2022-11-23T01:30:20.7156838Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7156906Z import torch
2022-11-23T01:30:20.7156974Z import random
2022-11-23T01:30:20.7157085Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7157204Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7157209Z 
2022-11-23T01:30:20.7157273Z aten = torch.ops.aten
2022-11-23T01:30:20.7157404Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7157494Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7157499Z 
2022-11-23T01:30:20.7157503Z 
2022-11-23T01:30:20.7157635Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7157836Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7157958Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7158058Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7158118Z {
2022-11-23T01:30:20.7158203Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7158263Z     {
2022-11-23T01:30:20.7158338Z         #pragma omp for 
2022-11-23T01:30:20.7158419Z         for(long i0=0; i0<125; i0+=1)
2022-11-23T01:30:20.7158486Z         {
2022-11-23T01:30:20.7158617Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7158747Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:30:20.7158819Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.7158945Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.7159027Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.7159116Z             tmp4.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7159178Z         }
2022-11-23T01:30:20.7159270Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7159359Z         for(long i0=1000; i0<1000; i0+=1)
2022-11-23T01:30:20.7159420Z         {
2022-11-23T01:30:20.7159490Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7159587Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:30:20.7159669Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:30:20.7159763Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:30:20.7159846Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:30:20.7159925Z             out_ptr0[i0] = tmp4;
2022-11-23T01:30:20.7159974Z         }
2022-11-23T01:30:20.7160034Z     }
2022-11-23T01:30:20.7160092Z }
2022-11-23T01:30:20.7160171Z ''')
2022-11-23T01:30:20.7160176Z 
2022-11-23T01:30:20.7160181Z 
2022-11-23T01:30:20.7160270Z async_compile.wait(globals())
2022-11-23T01:30:20.7160342Z del async_compile
2022-11-23T01:30:20.7160347Z 
2022-11-23T01:30:20.7160414Z def call(args):
2022-11-23T01:30:20.7160482Z     arg0_1, = args
2022-11-23T01:30:20.7160541Z     args.clear()
2022-11-23T01:30:20.7160748Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7160882Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7160948Z     del arg0_1
2022-11-23T01:30:20.7161017Z     return (buf0, )
2022-11-23T01:30:20.7161021Z 
2022-11-23T01:30:20.7161026Z 
2022-11-23T01:30:20.7161130Z if __name__ == "__main__":
2022-11-23T01:30:20.7161243Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7161352Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7161549Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7161654Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7161659Z 
2022-11-23T01:30:20.7161726Z ok (7.669s)
2022-11-23T01:30:20.7162027Z   test_views3_cpu (__main__.CpuTests) ... [2022-11-23 01:28:57,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7162343Z [2022-11-23 01:28:57,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7162587Z [2022-11-23 01:28:57,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7162841Z [2022-11-23 01:28:57,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7163116Z [2022-11-23 01:28:57,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7163423Z [2022-11-23 01:28:57,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7163767Z [2022-11-23 01:28:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7164087Z [2022-11-23 01:28:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7164474Z [2022-11-23 01:28:57,549] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7ff64d19baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979> 
2022-11-23T01:30:20.7164572Z  980           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7164662Z               2 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.7164752Z               4 LOAD_ATTR                2 (aten)
2022-11-23T01:30:20.7164845Z               6 LOAD_METHOD              3 (index)
2022-11-23T01:30:20.7164932Z               8 LOAD_FAST                0 (arg1)
2022-11-23T01:30:20.7165007Z              10 LOAD_FAST                1 (arg2)
2022-11-23T01:30:20.7165092Z              12 BUILD_LIST               1
2022-11-23T01:30:20.7165177Z              14 CALL_METHOD              2
2022-11-23T01:30:20.7165268Z              16 STORE_FAST               2 (index)
2022-11-23T01:30:20.7165276Z 
2022-11-23T01:30:20.7165365Z 981          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7165453Z              20 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.7165540Z              22 LOAD_ATTR                2 (aten)
2022-11-23T01:30:20.7165628Z              24 LOAD_METHOD              4 (view)
2022-11-23T01:30:20.7165709Z              26 LOAD_FAST                2 (index)
2022-11-23T01:30:20.7165793Z              28 BUILD_LIST               0
2022-11-23T01:30:20.7165888Z              30 LOAD_CONST               1 ((1, 2232, 64))
2022-11-23T01:30:20.7165971Z              32 LIST_EXTEND              1
2022-11-23T01:30:20.7166054Z              34 CALL_METHOD              2
2022-11-23T01:30:20.7166146Z              36 STORE_FAST               3 (view_1)
2022-11-23T01:30:20.7166151Z 
2022-11-23T01:30:20.7166239Z 982          38 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7166315Z              40 LOAD_ATTR                1 (ops)
2022-11-23T01:30:20.7166402Z              42 LOAD_ATTR                2 (aten)
2022-11-23T01:30:20.7166491Z              44 LOAD_METHOD              4 (view)
2022-11-23T01:30:20.7166580Z              46 LOAD_FAST                3 (view_1)
2022-11-23T01:30:20.7166663Z              48 BUILD_LIST               0
2022-11-23T01:30:20.7166757Z              50 LOAD_CONST               2 ((1, 12, 62, 192))
2022-11-23T01:30:20.7166870Z              52 LIST_EXTEND              1
2022-11-23T01:30:20.7166942Z              54 CALL_METHOD              2
2022-11-23T01:30:20.7167032Z              56 STORE_FAST               4 (view_2)
2022-11-23T01:30:20.7167037Z 
2022-11-23T01:30:20.7167125Z 983          58 LOAD_FAST                4 (view_2)
2022-11-23T01:30:20.7167200Z              60 RETURN_VALUE
2022-11-23T01:30:20.7167262Z  
2022-11-23T01:30:20.7167267Z 
2022-11-23T01:30:20.7167582Z [2022-11-23 01:28:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:980
2022-11-23T01:30:20.7167829Z [2022-11-23 01:28:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.7168193Z [2022-11-23 01:28:57,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7168486Z [2022-11-23 01:28:57,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.7168778Z [2022-11-23 01:28:57,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.7169031Z [2022-11-23 01:28:57,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1 [TorchVariable(aten.index)]
2022-11-23T01:30:20.7169314Z [2022-11-23 01:28:57,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg2 [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:30:20.7169618Z [2022-11-23 01:28:57,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7169925Z [2022-11-23 01:28:57,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.7170170Z [2022-11-23 01:28:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index [TensorVariable()]
2022-11-23T01:30:20.7170476Z [2022-11-23 01:28:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:981
2022-11-23T01:30:20.7170691Z [2022-11-23 01:28:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.7171048Z [2022-11-23 01:28:57,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7171337Z [2022-11-23 01:28:57,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.7171636Z [2022-11-23 01:28:57,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.7171879Z [2022-11-23 01:28:57,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.view)]
2022-11-23T01:30:20.7172155Z [2022-11-23 01:28:57,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:30:20.7172465Z [2022-11-23 01:28:57,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 2232, 64) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.7172807Z [2022-11-23 01:28:57,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.7173112Z [2022-11-23 01:28:57,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.7173358Z [2022-11-23 01:28:57,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_1 [TensorVariable()]
2022-11-23T01:30:20.7173701Z [2022-11-23 01:28:57,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:982
2022-11-23T01:30:20.7173914Z [2022-11-23 01:28:57,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:30:20.7174275Z [2022-11-23 01:28:57,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7174567Z [2022-11-23 01:28:57,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:30:20.7174866Z [2022-11-23 01:28:57,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:30:20.7175137Z [2022-11-23 01:28:57,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TorchVariable(aten.view)]
2022-11-23T01:30:20.7175414Z [2022-11-23 01:28:57,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:30:20.7175728Z [2022-11-23 01:28:57,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 12, 62, 192) [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.7176072Z [2022-11-23 01:28:57,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_EXTEND 1 [TorchVariable(aten.view), TensorVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:30:20.7176378Z [2022-11-23 01:28:57,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:30:20.7176728Z [2022-11-23 01:28:57,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_2 [TensorVariable()]
2022-11-23T01:30:20.7177042Z [2022-11-23 01:28:57,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:983
2022-11-23T01:30:20.7177255Z [2022-11-23 01:28:57,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_2 []
2022-11-23T01:30:20.7177503Z [2022-11-23 01:28:57,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.7177887Z [2022-11-23 01:28:57,574] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7ff64d19baa0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 979>
2022-11-23T01:30:20.7178118Z [2022-11-23 01:28:57,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.7178354Z [2022-11-23 01:28:57,574] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7178609Z [2022-11-23 01:28:57,575] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7178856Z [2022-11-23 01:28:57,579] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7179044Z [2022-11-23 01:28:57,579] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7179180Z  __compiled_fn_457 <eval_with_key>.3561 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7179268Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7179354Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7179455Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:30:20.7179569Z call_function, view, aten.view, (index, [1, 2232, 64]), {}
2022-11-23T01:30:20.7179683Z call_function, view_1, aten.view, (view, [1, 12, 62, 192]), {}
2022-11-23T01:30:20.7179779Z output, output, output, ((view_1,),), {}
2022-11-23T01:30:20.7179785Z 
2022-11-23T01:30:20.7180108Z [2022-11-23 01:28:57,580] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7180203Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7180294Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7180381Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7180529Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7180616Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7180704Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7180781Z              12 RETURN_VALUE
2022-11-23T01:30:20.7180786Z 
2022-11-23T01:30:20.7180848Z  
2022-11-23T01:30:20.7181172Z [2022-11-23 01:28:57,580] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7181282Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_457)
2022-11-23T01:30:20.7181372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7181487Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7181569Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7181658Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7181745Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7181824Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7181913Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7182003Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.7182067Z              18 RETURN_VALUE
2022-11-23T01:30:20.7182072Z 
2022-11-23T01:30:20.7182134Z  
2022-11-23T01:30:20.7182321Z [2022-11-23 01:28:57,581] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7182393Z  - 
2022-11-23T01:30:20.7182512Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7182578Z             {
2022-11-23T01:30:20.7182721Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7182895Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7183017Z                 'obj_weakref': None
2022-11-23T01:30:20.7183247Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7183313Z             }
2022-11-23T01:30:20.7183378Z             
2022-11-23T01:30:20.7183448Z  - 
2022-11-23T01:30:20.7183576Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7183627Z             {
2022-11-23T01:30:20.7183770Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7183876Z                 'code': None,
2022-11-23T01:30:20.7184091Z                 'obj_weakref': <weakref at 0x7ff57ed624d0; to 'Tensor' at 0x7ff58fd241d0>
2022-11-23T01:30:20.7184345Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7184411Z             }
2022-11-23T01:30:20.7184476Z             
2022-11-23T01:30:20.7184532Z  - 
2022-11-23T01:30:20.7184660Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7184724Z             {
2022-11-23T01:30:20.7184868Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7184976Z                 'code': None,
2022-11-23T01:30:20.7185190Z                 'obj_weakref': <weakref at 0x7ff57edfa2a0; to 'Tensor' at 0x7ff58fd242c0>
2022-11-23T01:30:20.7185446Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7185497Z             }
2022-11-23T01:30:20.7185559Z             
2022-11-23T01:30:20.7185628Z  - 
2022-11-23T01:30:20.7185759Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7185823Z             {
2022-11-23T01:30:20.7185956Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7186126Z                 'code': ['___check_obj_id(model, 140692861561888)'],
2022-11-23T01:30:20.7186231Z                 'obj_weakref': None
2022-11-23T01:30:20.7186462Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7186530Z             }
2022-11-23T01:30:20.7186593Z             
2022-11-23T01:30:20.7186662Z  - 
2022-11-23T01:30:20.7186782Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7186842Z             {
2022-11-23T01:30:20.7186965Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7187210Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7187329Z                 'obj_weakref': None
2022-11-23T01:30:20.7187549Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7187613Z             }
2022-11-23T01:30:20.7187678Z             
2022-11-23T01:30:20.7187744Z  - 
2022-11-23T01:30:20.7187864Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.7187929Z             {
2022-11-23T01:30:20.7188049Z                 'guard_types': None,
2022-11-23T01:30:20.7188156Z                 'code': None,
2022-11-23T01:30:20.7188299Z                 'obj_weakref': None
2022-11-23T01:30:20.7188417Z                 'guarded_class': None
2022-11-23T01:30:20.7188479Z             }
2022-11-23T01:30:20.7188528Z             
2022-11-23T01:30:20.7188785Z [2022-11-23 01:28:57,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 449
2022-11-23T01:30:20.7189148Z [2022-11-23 01:28:59,796] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yo/cyop4pjpiddm4k6remxfjk62f776iv7fn4fqs2e45ktnlx7hphim.py
2022-11-23T01:30:20.7189408Z [2022-11-23 01:28:59,796] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 449
2022-11-23T01:30:20.7189414Z 
2022-11-23T01:30:20.7189505Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7189573Z import torch
2022-11-23T01:30:20.7189641Z import random
2022-11-23T01:30:20.7189755Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7189863Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7189870Z 
2022-11-23T01:30:20.7189945Z aten = torch.ops.aten
2022-11-23T01:30:20.7190075Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7190167Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7190172Z 
2022-11-23T01:30:20.7190176Z 
2022-11-23T01:30:20.7190309Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7190512Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7190629Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:30:20.7190734Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7190821Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7190881Z {
2022-11-23T01:30:20.7190976Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7191036Z     {
2022-11-23T01:30:20.7191112Z         #pragma omp for 
2022-11-23T01:30:20.7191193Z         for(long i0=0; i0<2232; i0+=1)
2022-11-23T01:30:20.7191255Z         {
2022-11-23T01:30:20.7191323Z             #pragma GCC ivdep
2022-11-23T01:30:20.7191405Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:30:20.7191467Z             {
2022-11-23T01:30:20.7191530Z                 {
2022-11-23T01:30:20.7191595Z                     {
2022-11-23T01:30:20.7191689Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7191794Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:30:20.7191878Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:30:20.7191941Z                     }
2022-11-23T01:30:20.7192005Z                 }
2022-11-23T01:30:20.7192067Z             }
2022-11-23T01:30:20.7192128Z         }
2022-11-23T01:30:20.7192187Z     }
2022-11-23T01:30:20.7192234Z }
2022-11-23T01:30:20.7192309Z ''')
2022-11-23T01:30:20.7192314Z 
2022-11-23T01:30:20.7192318Z 
2022-11-23T01:30:20.7192407Z async_compile.wait(globals())
2022-11-23T01:30:20.7192479Z del async_compile
2022-11-23T01:30:20.7192486Z 
2022-11-23T01:30:20.7192554Z def call(args):
2022-11-23T01:30:20.7192629Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7192699Z     args.clear()
2022-11-23T01:30:20.7192900Z     buf0 = empty_strided((2232, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7193100Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7193167Z     del arg0_1
2022-11-23T01:30:20.7193234Z     del arg1_1
2022-11-23T01:30:20.7193344Z     return (as_strided(buf0, (1, 12, 62, 192), (0, 11904, 192, 1)), )
2022-11-23T01:30:20.7193349Z 
2022-11-23T01:30:20.7193353Z 
2022-11-23T01:30:20.7193428Z if __name__ == "__main__":
2022-11-23T01:30:20.7193539Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7193659Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7193928Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7194112Z     arg1_1 = rand_strided((2232, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:30:20.7194260Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7194265Z 
2022-11-23T01:30:20.7194332Z ok (2.257s)
2022-11-23T01:30:20.7194665Z   test_zero_dim_reductions_cpu (__main__.CpuTests) ... [2022-11-23 01:28:59,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T01:30:20.7194879Z [2022-11-23 01:28:59,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:30:20.7195129Z [2022-11-23 01:28:59,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T01:30:20.7195413Z [2022-11-23 01:28:59,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T01:30:20.7195658Z [2022-11-23 01:28:59,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.7195896Z [2022-11-23 01:28:59,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T01:30:20.7196126Z [2022-11-23 01:28:59,864] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.7196360Z [2022-11-23 01:28:59,867] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.7196551Z [2022-11-23 01:28:59,868] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7196683Z  __compiled_fn_458 <eval_with_key>.3567 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7196769Z placeholder, x_0_, x_0_, (), {}
2022-11-23T01:30:20.7196876Z call_function, all_1, aten.all, (x_0_, 1, True), {}
2022-11-23T01:30:20.7196971Z output, output, output, ((all_1,),), {}
2022-11-23T01:30:20.7196976Z 
2022-11-23T01:30:20.7197307Z [2022-11-23 01:28:59,868] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:30:20.7197386Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T01:30:20.7197479Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7197570Z                4 CALL_FUNCTION_EX         0
2022-11-23T01:30:20.7197644Z                6 RETURN_VALUE
2022-11-23T01:30:20.7197649Z 
2022-11-23T01:30:20.7197708Z  
2022-11-23T01:30:20.7198040Z [2022-11-23 01:28:59,868] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:30:20.7198146Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_458)
2022-11-23T01:30:20.7198234Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7198309Z                4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7198384Z                6 BINARY_SUBSCR
2022-11-23T01:30:20.7198473Z                8 CALL_FUNCTION            1
2022-11-23T01:30:20.7198564Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.7198637Z               12 RETURN_VALUE
2022-11-23T01:30:20.7198644Z 
2022-11-23T01:30:20.7198703Z  
2022-11-23T01:30:20.7198883Z [2022-11-23 01:28:59,870] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7198939Z  - 
2022-11-23T01:30:20.7199054Z             local 'x' LIST_LENGTH
2022-11-23T01:30:20.7199117Z             {
2022-11-23T01:30:20.7199254Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7199464Z                 'code': ['___check_type_id(x, 94571819073152)', 'len(x) == 3'],
2022-11-23T01:30:20.7199584Z                 'obj_weakref': None
2022-11-23T01:30:20.7199807Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7199859Z             }
2022-11-23T01:30:20.7199921Z             
2022-11-23T01:30:20.7199989Z  - 
2022-11-23T01:30:20.7200113Z             local 'fn' FUNCTION_MATCH
2022-11-23T01:30:20.7200175Z             {
2022-11-23T01:30:20.7200308Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7200468Z                 'code': ['___check_obj_id(fn, 140693163799696)'],
2022-11-23T01:30:20.7200720Z                 'obj_weakref': <weakref at 0x7ff57eccd6c0; to 'OpOverloadPacket' at 0x7ff5ae0cf490>
2022-11-23T01:30:20.7200965Z                 'guarded_class': <weakref at 0x7ff5aea39030; to 'type' at 0x56033c615410 (OpOverloadPacket)>
2022-11-23T01:30:20.7201029Z             }
2022-11-23T01:30:20.7201090Z             
2022-11-23T01:30:20.7201160Z  - 
2022-11-23T01:30:20.7201280Z             local 'x[0]' TENSOR_MATCH
2022-11-23T01:30:20.7201342Z             {
2022-11-23T01:30:20.7201471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7201576Z                 'code': None,
2022-11-23T01:30:20.7201784Z                 'obj_weakref': <weakref at 0x7ff58f97ea20; to 'Tensor' at 0x7ff57ed21030>
2022-11-23T01:30:20.7202034Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7202096Z             }
2022-11-23T01:30:20.7202159Z             
2022-11-23T01:30:20.7202230Z  - 
2022-11-23T01:30:20.7202342Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T01:30:20.7202403Z             {
2022-11-23T01:30:20.7202544Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7202725Z                 'code': ['___check_type_id(x[1], 94571819095424)', 'x[1] == 1'],
2022-11-23T01:30:20.7202841Z                 'obj_weakref': None
2022-11-23T01:30:20.7203062Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7203125Z             }
2022-11-23T01:30:20.7203174Z             
2022-11-23T01:30:20.7203241Z  - 
2022-11-23T01:30:20.7203365Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T01:30:20.7203428Z             {
2022-11-23T01:30:20.7203559Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7203720Z                 'code': ['___check_obj_id(x[2], 94571819132640)'],
2022-11-23T01:30:20.7203835Z                 'obj_weakref': None
2022-11-23T01:30:20.7204040Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:20.7204105Z             }
2022-11-23T01:30:20.7204167Z             
2022-11-23T01:30:20.7204424Z [2022-11-23 01:28:59,878] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 450
2022-11-23T01:30:20.7204792Z [2022-11-23 01:29:01,286] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k5/ck5ls2geoszjb5mbnwsym2l3clskycdqdr5kcxxgq3cthzekd5bd.py
2022-11-23T01:30:20.7205053Z [2022-11-23 01:29:01,287] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 450
2022-11-23T01:30:20.7205296Z [2022-11-23 01:29:01,327] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T01:30:20.7205505Z [2022-11-23 01:29:01,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:30:20.7205742Z [2022-11-23 01:29:01,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T01:30:20.7206031Z [2022-11-23 01:29:01,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T01:30:20.7206274Z [2022-11-23 01:29:01,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:30:20.7206543Z [2022-11-23 01:29:01,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T01:30:20.7206782Z [2022-11-23 01:29:01,330] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:30:20.7207013Z [2022-11-23 01:29:01,332] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:30:20.7207201Z [2022-11-23 01:29:01,333] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7207332Z  __compiled_fn_459 <eval_with_key>.3573 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7207417Z placeholder, x_0_, x_0_, (), {}
2022-11-23T01:30:20.7207515Z call_function, all_1, aten.all, (x_0_, 1, False), {}
2022-11-23T01:30:20.7207638Z output, output, output, ((all_1,),), {}
2022-11-23T01:30:20.7207644Z 
2022-11-23T01:30:20.7207973Z [2022-11-23 01:29:01,333] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:30:20.7208066Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T01:30:20.7208157Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7208247Z                4 CALL_FUNCTION_EX         0
2022-11-23T01:30:20.7208321Z                6 RETURN_VALUE
2022-11-23T01:30:20.7208326Z 
2022-11-23T01:30:20.7208385Z  
2022-11-23T01:30:20.7208704Z [2022-11-23 01:29:01,333] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 4521 
2022-11-23T01:30:20.7208811Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_459)
2022-11-23T01:30:20.7208898Z                2 LOAD_FAST                0 (x)
2022-11-23T01:30:20.7208987Z                4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7209063Z                6 BINARY_SUBSCR
2022-11-23T01:30:20.7209151Z                8 CALL_FUNCTION            1
2022-11-23T01:30:20.7209241Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:30:20.7209315Z               12 RETURN_VALUE
2022-11-23T01:30:20.7209320Z 
2022-11-23T01:30:20.7209370Z  
2022-11-23T01:30:20.7209549Z [2022-11-23 01:29:01,334] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7209619Z  - 
2022-11-23T01:30:20.7209736Z             local 'x' LIST_LENGTH
2022-11-23T01:30:20.7209799Z             {
2022-11-23T01:30:20.7209934Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7210114Z                 'code': ['___check_type_id(x, 94571819073152)', 'len(x) == 3'],
2022-11-23T01:30:20.7210219Z                 'obj_weakref': None
2022-11-23T01:30:20.7210441Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7210506Z             }
2022-11-23T01:30:20.7210568Z             
2022-11-23T01:30:20.7210635Z  - 
2022-11-23T01:30:20.7210758Z             local 'fn' FUNCTION_MATCH
2022-11-23T01:30:20.7210820Z             {
2022-11-23T01:30:20.7210941Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7211103Z                 'code': ['___check_obj_id(fn, 140693163799696)'],
2022-11-23T01:30:20.7211347Z                 'obj_weakref': <weakref at 0x7ff57eccd6c0; to 'OpOverloadPacket' at 0x7ff5ae0cf490>
2022-11-23T01:30:20.7211593Z                 'guarded_class': <weakref at 0x7ff5aea39030; to 'type' at 0x56033c615410 (OpOverloadPacket)>
2022-11-23T01:30:20.7211655Z             }
2022-11-23T01:30:20.7211716Z             
2022-11-23T01:30:20.7211783Z  - 
2022-11-23T01:30:20.7211892Z             local 'x[0]' TENSOR_MATCH
2022-11-23T01:30:20.7211952Z             {
2022-11-23T01:30:20.7212090Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7212194Z                 'code': None,
2022-11-23T01:30:20.7212405Z                 'obj_weakref': <weakref at 0x7ff57ed60900; to 'Tensor' at 0x7ff57ecef380>
2022-11-23T01:30:20.7212658Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7212720Z             }
2022-11-23T01:30:20.7212770Z             
2022-11-23T01:30:20.7212836Z  - 
2022-11-23T01:30:20.7212987Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T01:30:20.7213050Z             {
2022-11-23T01:30:20.7213190Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7213372Z                 'code': ['___check_type_id(x[1], 94571819095424)', 'x[1] == 1'],
2022-11-23T01:30:20.7213489Z                 'obj_weakref': None
2022-11-23T01:30:20.7213697Z                 'guarded_class': <weakref at 0x7ff64e1ce4d0; to 'type' at 0x560337aed580 (int)>
2022-11-23T01:30:20.7213759Z             }
2022-11-23T01:30:20.7213820Z             
2022-11-23T01:30:20.7213887Z  - 
2022-11-23T01:30:20.7214010Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T01:30:20.7214098Z             {
2022-11-23T01:30:20.7214230Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7214379Z                 'code': ['___check_obj_id(x[2], 94571819132608)'],
2022-11-23T01:30:20.7214494Z                 'obj_weakref': None
2022-11-23T01:30:20.7214716Z                 'guarded_class': <weakref at 0x7ff64e1ce7a0; to 'type' at 0x560337af6700 (bool)>
2022-11-23T01:30:20.7214778Z             }
2022-11-23T01:30:20.7214839Z             
2022-11-23T01:30:20.7215098Z [2022-11-23 01:29:01,339] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 451
2022-11-23T01:30:20.7215461Z [2022-11-23 01:29:01,345] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctuio7q7xpih2b4rysiuyjt2n3kdggb7rzbetwhb6ppwfsioeklc.py
2022-11-23T01:30:20.7215721Z [2022-11-23 01:29:01,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 451
2022-11-23T01:30:20.7215729Z 
2022-11-23T01:30:20.7215809Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7215875Z import torch
2022-11-23T01:30:20.7215943Z import random
2022-11-23T01:30:20.7216056Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7216175Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7216180Z 
2022-11-23T01:30:20.7216258Z aten = torch.ops.aten
2022-11-23T01:30:20.7216390Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7216595Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7216612Z 
2022-11-23T01:30:20.7216617Z 
2022-11-23T01:30:20.7216738Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7216942Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7217054Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2022-11-23T01:30:20.7217114Z {
2022-11-23T01:30:20.7217191Z     #pragma GCC ivdep
2022-11-23T01:30:20.7217270Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.7217335Z     {
2022-11-23T01:30:20.7217385Z         {
2022-11-23T01:30:20.7217448Z             {
2022-11-23T01:30:20.7217553Z                 auto tmp0 = static_cast<bool>(false);
2022-11-23T01:30:20.7217641Z                 auto tmp1 = tmp0 == 0;
2022-11-23T01:30:20.7217725Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.7217791Z             }
2022-11-23T01:30:20.7217842Z         }
2022-11-23T01:30:20.7217903Z     }
2022-11-23T01:30:20.7217964Z }
2022-11-23T01:30:20.7218041Z ''')
2022-11-23T01:30:20.7218046Z 
2022-11-23T01:30:20.7218050Z 
2022-11-23T01:30:20.7218140Z async_compile.wait(globals())
2022-11-23T01:30:20.7218214Z del async_compile
2022-11-23T01:30:20.7218219Z 
2022-11-23T01:30:20.7218290Z def call(args):
2022-11-23T01:30:20.7218361Z     arg0_1, = args
2022-11-23T01:30:20.7218418Z     args.clear()
2022-11-23T01:30:20.7218606Z     buf0 = empty_strided((2, 1), (1, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.7218710Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7218782Z     return (buf0, )
2022-11-23T01:30:20.7218787Z 
2022-11-23T01:30:20.7218792Z 
2022-11-23T01:30:20.7218872Z if __name__ == "__main__":
2022-11-23T01:30:20.7218985Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7219107Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7219344Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:30:20.7219453Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7219458Z 
2022-11-23T01:30:20.7219462Z 
2022-11-23T01:30:20.7219557Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7219627Z import torch
2022-11-23T01:30:20.7219696Z import random
2022-11-23T01:30:20.7219811Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7219931Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7219936Z 
2022-11-23T01:30:20.7220012Z aten = torch.ops.aten
2022-11-23T01:30:20.7220130Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7220258Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7220263Z 
2022-11-23T01:30:20.7220268Z 
2022-11-23T01:30:20.7220402Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7220605Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7220719Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2022-11-23T01:30:20.7220782Z {
2022-11-23T01:30:20.7220859Z     #pragma GCC ivdep
2022-11-23T01:30:20.7220938Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:30:20.7220987Z     {
2022-11-23T01:30:20.7221050Z         {
2022-11-23T01:30:20.7221115Z             {
2022-11-23T01:30:20.7221223Z                 auto tmp0 = static_cast<bool>(false);
2022-11-23T01:30:20.7221308Z                 auto tmp1 = tmp0 == 0;
2022-11-23T01:30:20.7221390Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:30:20.7221440Z             }
2022-11-23T01:30:20.7221503Z         }
2022-11-23T01:30:20.7221563Z     }
2022-11-23T01:30:20.7221626Z }
2022-11-23T01:30:20.7221704Z ''')
2022-11-23T01:30:20.7221709Z 
2022-11-23T01:30:20.7221713Z 
2022-11-23T01:30:20.7221803Z async_compile.wait(globals())
2022-11-23T01:30:20.7221876Z del async_compile
2022-11-23T01:30:20.7221881Z 
2022-11-23T01:30:20.7221949Z def call(args):
2022-11-23T01:30:20.7222004Z     arg0_1, = args
2022-11-23T01:30:20.7222077Z     args.clear()
2022-11-23T01:30:20.7222263Z     buf0 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:30:20.7222366Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7222438Z     return (buf0, )
2022-11-23T01:30:20.7222443Z 
2022-11-23T01:30:20.7222448Z 
2022-11-23T01:30:20.7222524Z if __name__ == "__main__":
2022-11-23T01:30:20.7222636Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7222744Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7222938Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:30:20.7223047Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7223052Z 
2022-11-23T01:30:20.7223117Z ok (1.548s)
2022-11-23T01:30:20.7223418Z   test_zeros_cpu (__main__.CpuTests) ... [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7223736Z [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7223954Z [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7224203Z [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7224478Z [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7224784Z [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7225134Z [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7225495Z [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7225871Z [2022-11-23 01:29:01,351] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7ff64d0f7310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769> 
2022-11-23T01:30:20.7225962Z  2771           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7226051Z                2 LOAD_CONST               1 (1)
2022-11-23T01:30:20.7226124Z                4 BINARY_ADD
2022-11-23T01:30:20.7226130Z 
2022-11-23T01:30:20.7226221Z 2772           6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7226313Z                8 LOAD_ATTR                1 (zeros)
2022-11-23T01:30:20.7226346Z 
2022-11-23T01:30:20.7226431Z 2773          10 LOAD_CONST               2 ((1, 8, 64, 64))
2022-11-23T01:30:20.7226448Z 
2022-11-23T01:30:20.7226527Z 2774          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7226619Z               14 LOAD_ATTR                2 (float32)
2022-11-23T01:30:20.7226623Z 
2022-11-23T01:30:20.7226714Z 2775          16 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7226805Z               18 LOAD_ATTR                3 (device)
2022-11-23T01:30:20.7226810Z 
2022-11-23T01:30:20.7226974Z 2772          20 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:30:20.7227067Z               22 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.7227072Z 
2022-11-23T01:30:20.7227161Z 2777          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7227248Z               26 LOAD_ATTR                1 (zeros)
2022-11-23T01:30:20.7227252Z 
2022-11-23T01:30:20.7227326Z 2778          28 LOAD_CONST               1 (1)
2022-11-23T01:30:20.7227347Z 
2022-11-23T01:30:20.7227421Z 2779          30 LOAD_CONST               4 (8)
2022-11-23T01:30:20.7227426Z 
2022-11-23T01:30:20.7227517Z 2780          32 LOAD_CONST               5 (64)
2022-11-23T01:30:20.7227522Z 
2022-11-23T01:30:20.7227610Z 2781          34 LOAD_CONST               5 (64)
2022-11-23T01:30:20.7227614Z 
2022-11-23T01:30:20.7227705Z 2782          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7227796Z               38 LOAD_ATTR                2 (float32)
2022-11-23T01:30:20.7227801Z 
2022-11-23T01:30:20.7227886Z 2783          40 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7227976Z               42 LOAD_ATTR                3 (device)
2022-11-23T01:30:20.7227981Z 
2022-11-23T01:30:20.7228139Z 2777          44 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:30:20.7228218Z               46 CALL_FUNCTION_KW         6
2022-11-23T01:30:20.7228235Z 
2022-11-23T01:30:20.7228311Z 2785          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7228398Z               50 LOAD_ATTR                1 (zeros)
2022-11-23T01:30:20.7228484Z               52 LOAD_CONST               6 (2)
2022-11-23T01:30:20.7228570Z               54 LOAD_CONST               7 (3)
2022-11-23T01:30:20.7228658Z               56 LOAD_CONST               0 (None)
2022-11-23T01:30:20.7228806Z               58 LOAD_CONST               8 (('names',))
2022-11-23T01:30:20.7228895Z               60 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.7228900Z 
2022-11-23T01:30:20.7228974Z 2786          62 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7229063Z               64 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7229151Z               66 LOAD_ATTR                4 (ones)
2022-11-23T01:30:20.7229235Z               68 LOAD_CONST               4 (8)
2022-11-23T01:30:20.7229319Z               70 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7229409Z               72 LOAD_ATTR                3 (device)
2022-11-23T01:30:20.7229557Z               74 LOAD_CONST               9 (('device',))
2022-11-23T01:30:20.7229648Z               76 CALL_FUNCTION_KW         2
2022-11-23T01:30:20.7229709Z               78 BINARY_ADD
2022-11-23T01:30:20.7229713Z 
2022-11-23T01:30:20.7229803Z 2787          80 LOAD_GLOBAL              0 (torch)
2022-11-23T01:30:20.7229890Z               82 LOAD_ATTR                5 (full)
2022-11-23T01:30:20.7230013Z               84 LOAD_CONST              10 ((2, 3))
2022-11-23T01:30:20.7230103Z               86 LOAD_CONST              11 (3.1416)
2022-11-23T01:30:20.7230188Z               88 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7230277Z               90 LOAD_ATTR                3 (device)
2022-11-23T01:30:20.7230413Z               92 LOAD_CONST               9 (('device',))
2022-11-23T01:30:20.7230501Z               94 CALL_FUNCTION_KW         3
2022-11-23T01:30:20.7230507Z 
2022-11-23T01:30:20.7230594Z 2770          96 BUILD_TUPLE              6
2022-11-23T01:30:20.7230669Z               98 RETURN_VALUE
2022-11-23T01:30:20.7230759Z  
2022-11-23T01:30:20.7230764Z 
2022-11-23T01:30:20.7231083Z [2022-11-23 01:29:01,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2771
2022-11-23T01:30:20.7231292Z [2022-11-23 01:29:01,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7231531Z [2022-11-23 01:29:01,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:30:20.7231813Z [2022-11-23 01:29:01,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:30:20.7232114Z [2022-11-23 01:29:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T01:30:20.7232359Z [2022-11-23 01:29:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:30:20.7232755Z [2022-11-23 01:29:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7233069Z [2022-11-23 01:29:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2773
2022-11-23T01:30:20.7233431Z [2022-11-23 01:29:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 8, 64, 64) [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.7233738Z [2022-11-23 01:29:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2774
2022-11-23T01:30:20.7234221Z [2022-11-23 01:29:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple)]
2022-11-23T01:30:20.7234773Z [2022-11-23 01:29:01,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7235091Z [2022-11-23 01:29:01,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2775
2022-11-23T01:30:20.7235518Z [2022-11-23 01:29:01,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), ConstantVariable(dtype)]
2022-11-23T01:30:20.7235981Z [2022-11-23 01:29:01,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:30:20.7236291Z [2022-11-23 01:29:01,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2772
2022-11-23T01:30:20.7236824Z [2022-11-23 01:29:01,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:30:20.7237339Z [2022-11-23 01:29:01,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.7237647Z [2022-11-23 01:29:01,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T01:30:20.7237906Z [2022-11-23 01:29:01,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7238360Z [2022-11-23 01:29:01,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7238672Z [2022-11-23 01:29:01,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2778
2022-11-23T01:30:20.7239047Z [2022-11-23 01:29:01,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.7239353Z [2022-11-23 01:29:01,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2779
2022-11-23T01:30:20.7239770Z [2022-11-23 01:29:01,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:20.7240077Z [2022-11-23 01:29:01,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2780
2022-11-23T01:30:20.7240536Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.7240842Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2781
2022-11-23T01:30:20.7241339Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.7241649Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2782
2022-11-23T01:30:20.7242187Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.7242867Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7243177Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2783
2022-11-23T01:30:20.7243773Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:30:20.7244373Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:30:20.7244681Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2777
2022-11-23T01:30:20.7245314Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:30:20.7245979Z [2022-11-23 01:29:01,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.7246276Z [2022-11-23 01:29:01,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2785
2022-11-23T01:30:20.7246578Z [2022-11-23 01:29:01,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7247033Z [2022-11-23 01:29:01,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7247441Z [2022-11-23 01:29:01,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.7247885Z [2022-11-23 01:29:01,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:20.7248372Z [2022-11-23 01:29:01,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:30:20.7248916Z [2022-11-23 01:29:01,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('names',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:30:20.7249493Z [2022-11-23 01:29:01,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7ff5d7c59c60>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:30:20.7249802Z [2022-11-23 01:29:01,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2786
2022-11-23T01:30:20.7250118Z [2022-11-23 01:29:01,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7250475Z [2022-11-23 01:29:01,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7251016Z [2022-11-23 01:29:01,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7251479Z [2022-11-23 01:29:01,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.7251974Z [2022-11-23 01:29:01,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7ff5d7c59c60>), ConstantVariable(int)]
2022-11-23T01:30:20.7252534Z [2022-11-23 01:29:01,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:30:20.7253079Z [2022-11-23 01:29:01,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:30:20.7253659Z [2022-11-23 01:29:01,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7ff5d7c59c60>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.7254048Z [2022-11-23 01:29:01,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7254361Z [2022-11-23 01:29:01,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2787
2022-11-23T01:30:20.7254711Z [2022-11-23 01:29:01,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7255214Z [2022-11-23 01:29:01,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.10/site-packages/torch/__init__.py'>)]
2022-11-23T01:30:20.7255668Z [2022-11-23 01:29:01,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 3) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7ff5d7c59c60>)]
2022-11-23T01:30:20.7256173Z [2022-11-23 01:29:01,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.1416 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple)]
2022-11-23T01:30:20.7256817Z [2022-11-23 01:29:01,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), ConstantVariable(float)]
2022-11-23T01:30:20.7257398Z [2022-11-23 01:29:01,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), ConstantVariable(float), TensorVariable()]
2022-11-23T01:30:20.7258027Z [2022-11-23 01:29:01,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu)]
2022-11-23T01:30:20.7258653Z [2022-11-23 01:29:01,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7ff5d7c59c60>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:30:20.7259003Z [2022-11-23 01:29:01,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:2770
2022-11-23T01:30:20.7259386Z [2022-11-23 01:29:01,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7259632Z [2022-11-23 01:29:01,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7260011Z [2022-11-23 01:29:01,364] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7ff64d0f7310, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2769>
2022-11-23T01:30:20.7260253Z [2022-11-23 01:29:01,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7260485Z [2022-11-23 01:29:01,364] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7260740Z [2022-11-23 01:29:01,365] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7260988Z [2022-11-23 01:29:01,371] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7261177Z [2022-11-23 01:29:01,371] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7261299Z  __compiled_fn_460 <eval_with_key>.3579 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7261389Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7261558Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:30:20.7261873Z call_function, zeros, <built-in method zeros of type object at 0x7ff5d7c59c60>, ((1, 8, 64, 64),), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:30:20.7262188Z call_function, zeros_1, <built-in method zeros of type object at 0x7ff5d7c59c60>, (1, 8, 64, 64), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:30:20.7262434Z call_function, zeros_2, <built-in method zeros of type object at 0x7ff5d7c59c60>, (2, 3), {'names': None}
2022-11-23T01:30:20.7262695Z call_function, ones, <built-in method ones of type object at 0x7ff5d7c59c60>, (8,), {'device': device(type='cpu')}
2022-11-23T01:30:20.7262876Z call_function, add_1, <built-in function add>, (ex_0_, ones), {}
2022-11-23T01:30:20.7263144Z call_function, full, <built-in method full of type object at 0x7ff5d7c59c60>, ((2, 3), 3.1416), {'device': device(type='cpu')}
2022-11-23T01:30:20.7263267Z output, output, output, ((add, zeros, zeros_1, zeros_2, add_1, full),), {}
2022-11-23T01:30:20.7263273Z 
2022-11-23T01:30:20.7263602Z [2022-11-23 01:29:01,372] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7263693Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7263782Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7263870Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7263960Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7264043Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7264128Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7264192Z              12 RETURN_VALUE
2022-11-23T01:30:20.7264224Z 
2022-11-23T01:30:20.7264284Z  
2022-11-23T01:30:20.7264606Z [2022-11-23 01:29:01,372] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7264712Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_460)
2022-11-23T01:30:20.7264801Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7264889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7264964Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7265049Z               8 CALL_FUNCTION            1
2022-11-23T01:30:20.7265138Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7265265Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7265353Z              14 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7265427Z              16 BINARY_SUBSCR
2022-11-23T01:30:20.7265528Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7265616Z              20 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7265690Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7265775Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7265863Z              26 LOAD_CONST               3 (2)
2022-11-23T01:30:20.7265937Z              28 BINARY_SUBSCR
2022-11-23T01:30:20.7266037Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7266125Z              32 LOAD_CONST               4 (3)
2022-11-23T01:30:20.7266201Z              34 BINARY_SUBSCR
2022-11-23T01:30:20.7266298Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7266374Z              38 LOAD_CONST               5 (4)
2022-11-23T01:30:20.7266447Z              40 BINARY_SUBSCR
2022-11-23T01:30:20.7266545Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7266631Z              44 LOAD_CONST               6 (5)
2022-11-23T01:30:20.7266705Z              46 BINARY_SUBSCR
2022-11-23T01:30:20.7266792Z              48 BUILD_TUPLE              6
2022-11-23T01:30:20.7266865Z              50 RETURN_VALUE
2022-11-23T01:30:20.7266870Z 
2022-11-23T01:30:20.7266919Z  
2022-11-23T01:30:20.7267101Z [2022-11-23 01:29:01,373] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7267170Z  - 
2022-11-23T01:30:20.7267287Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7267351Z             {
2022-11-23T01:30:20.7267489Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7267675Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 1'],
2022-11-23T01:30:20.7267781Z                 'obj_weakref': None
2022-11-23T01:30:20.7268006Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7268069Z             }
2022-11-23T01:30:20.7268130Z             
2022-11-23T01:30:20.7268196Z  - 
2022-11-23T01:30:20.7268317Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:30:20.7268382Z             {
2022-11-23T01:30:20.7268507Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:30:20.7268675Z                 'code': ['___check_type_id(ex[0], 94571891517792)'],
2022-11-23T01:30:20.7268886Z                 'obj_weakref': <weakref at 0x7ff57eea9bc0; to 'Tensor' at 0x7ff58fc1ef20>
2022-11-23T01:30:20.7269139Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7269204Z             }
2022-11-23T01:30:20.7269265Z             
2022-11-23T01:30:20.7269333Z  - 
2022-11-23T01:30:20.7269442Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7269506Z             {
2022-11-23T01:30:20.7269647Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7269752Z                 'code': None,
2022-11-23T01:30:20.7269961Z                 'obj_weakref': <weakref at 0x7ff57eea9bc0; to 'Tensor' at 0x7ff58fc1ef20>
2022-11-23T01:30:20.7270250Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7270314Z             }
2022-11-23T01:30:20.7270363Z             
2022-11-23T01:30:20.7270431Z  - 
2022-11-23T01:30:20.7270559Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7270622Z             {
2022-11-23T01:30:20.7270754Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7270922Z                 'code': ['___check_obj_id(model, 140692861561888)'],
2022-11-23T01:30:20.7271038Z                 'obj_weakref': None
2022-11-23T01:30:20.7271253Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7271345Z             }
2022-11-23T01:30:20.7271407Z             
2022-11-23T01:30:20.7271474Z  - 
2022-11-23T01:30:20.7271596Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7271656Z             {
2022-11-23T01:30:20.7271789Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7271995Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7272111Z                 'obj_weakref': None
2022-11-23T01:30:20.7272328Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7272392Z             }
2022-11-23T01:30:20.7272456Z             
2022-11-23T01:30:20.7272524Z  - 
2022-11-23T01:30:20.7272657Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:30:20.7272707Z             {
2022-11-23T01:30:20.7272833Z                 'guard_types': None,
2022-11-23T01:30:20.7272940Z                 'code': None,
2022-11-23T01:30:20.7273056Z                 'obj_weakref': None
2022-11-23T01:30:20.7273179Z                 'guarded_class': None
2022-11-23T01:30:20.7273244Z             }
2022-11-23T01:30:20.7273308Z             
2022-11-23T01:30:20.7273363Z  - 
2022-11-23T01:30:20.7273514Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:30:20.7273580Z             {
2022-11-23T01:30:20.7273725Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:30:20.7273960Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:30:20.7274081Z                 'obj_weakref': None
2022-11-23T01:30:20.7274307Z                 'guarded_class': <weakref at 0x7ff60d601ad0; to 'type' at 0x7ff5d7c55c80 (dtype)>
2022-11-23T01:30:20.7274357Z             }
2022-11-23T01:30:20.7274420Z             
2022-11-23T01:30:20.7274683Z [2022-11-23 01:29:01,382] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 452
2022-11-23T01:30:20.7275050Z [2022-11-23 01:29:02,997] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eq/ceqos5edv74qk47hfcq4cgnxhgqfym754ycyocrgfbk2lyzljzrl.py
2022-11-23T01:30:20.7275315Z [2022-11-23 01:29:02,997] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 452
2022-11-23T01:30:20.7275321Z 
2022-11-23T01:30:20.7275417Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7275491Z import torch
2022-11-23T01:30:20.7275564Z import random
2022-11-23T01:30:20.7275667Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7275791Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7275796Z 
2022-11-23T01:30:20.7275875Z aten = torch.ops.aten
2022-11-23T01:30:20.7276008Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7276101Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7276106Z 
2022-11-23T01:30:20.7276111Z 
2022-11-23T01:30:20.7276244Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7276449Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7276571Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7276658Z                        float* __restrict__ out_ptr0,
2022-11-23T01:30:20.7276754Z                        float* __restrict__ out_ptr1,
2022-11-23T01:30:20.7276849Z                        float* __restrict__ out_ptr2,
2022-11-23T01:30:20.7276981Z                        float* __restrict__ out_ptr3,
2022-11-23T01:30:20.7277076Z                        float* __restrict__ out_ptr4,
2022-11-23T01:30:20.7277168Z                        float* __restrict__ out_ptr5)
2022-11-23T01:30:20.7277231Z {
2022-11-23T01:30:20.7277316Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7277378Z     {
2022-11-23T01:30:20.7277457Z         #pragma omp for 
2022-11-23T01:30:20.7277538Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.7277602Z         {
2022-11-23T01:30:20.7277744Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7277907Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:30:20.7277980Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7278071Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7278159Z             tmp2.store(out_ptr1 + 8*i0);
2022-11-23T01:30:20.7278222Z         }
2022-11-23T01:30:20.7278316Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7278396Z         for(long i0=8; i0<8; i0+=1)
2022-11-23T01:30:20.7278460Z         {
2022-11-23T01:30:20.7278530Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7278630Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:30:20.7278712Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7278792Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7278872Z             out_ptr1[i0] = tmp2;
2022-11-23T01:30:20.7278935Z         }
2022-11-23T01:30:20.7279012Z         #pragma omp for 
2022-11-23T01:30:20.7279082Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:30:20.7279148Z         {
2022-11-23T01:30:20.7279278Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:30:20.7279368Z             tmp0.store(out_ptr2 + 8*i0);
2022-11-23T01:30:20.7279429Z         }
2022-11-23T01:30:20.7279523Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7279613Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:30:20.7279666Z         {
2022-11-23T01:30:20.7279763Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:30:20.7279840Z             out_ptr2[i0] = tmp0;
2022-11-23T01:30:20.7279902Z         }
2022-11-23T01:30:20.7279976Z         #pragma omp for 
2022-11-23T01:30:20.7280056Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:30:20.7280116Z         {
2022-11-23T01:30:20.7280233Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:30:20.7280321Z             tmp0.store(out_ptr3 + 8*i0);
2022-11-23T01:30:20.7280382Z         }
2022-11-23T01:30:20.7280472Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7280562Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:30:20.7280623Z         {
2022-11-23T01:30:20.7280719Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:30:20.7280784Z             out_ptr3[i0] = tmp0;
2022-11-23T01:30:20.7280845Z         }
2022-11-23T01:30:20.7280919Z         #pragma omp for 
2022-11-23T01:30:20.7280999Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:20.7281059Z         {
2022-11-23T01:30:20.7281121Z             {
2022-11-23T01:30:20.7281173Z                 {
2022-11-23T01:30:20.7281275Z                     auto tmp0 = static_cast<float>(0);
2022-11-23T01:30:20.7281357Z                     out_ptr4[i0] = tmp0;
2022-11-23T01:30:20.7281421Z                 }
2022-11-23T01:30:20.7281484Z             }
2022-11-23T01:30:20.7281543Z         }
2022-11-23T01:30:20.7281616Z         #pragma omp for 
2022-11-23T01:30:20.7281683Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:30:20.7281743Z         {
2022-11-23T01:30:20.7281804Z             {
2022-11-23T01:30:20.7281870Z                 {
2022-11-23T01:30:20.7281976Z                     auto tmp0 = static_cast<float>(3.1416);
2022-11-23T01:30:20.7282057Z                     out_ptr5[i0] = tmp0;
2022-11-23T01:30:20.7282120Z                 }
2022-11-23T01:30:20.7282170Z             }
2022-11-23T01:30:20.7282231Z         }
2022-11-23T01:30:20.7286872Z     }
2022-11-23T01:30:20.7287017Z }
2022-11-23T01:30:20.7287123Z ''')
2022-11-23T01:30:20.7287130Z 
2022-11-23T01:30:20.7287135Z 
2022-11-23T01:30:20.7287236Z async_compile.wait(globals())
2022-11-23T01:30:20.7287311Z del async_compile
2022-11-23T01:30:20.7287316Z 
2022-11-23T01:30:20.7287374Z def call(args):
2022-11-23T01:30:20.7287444Z     arg0_1, = args
2022-11-23T01:30:20.7287520Z     args.clear()
2022-11-23T01:30:20.7287719Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7287910Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7288133Z     buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7288385Z     buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7288564Z     buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7288754Z     buf5 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7289010Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:30:20.7289081Z     del arg0_1
2022-11-23T01:30:20.7289184Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:30:20.7289190Z 
2022-11-23T01:30:20.7289194Z 
2022-11-23T01:30:20.7289271Z if __name__ == "__main__":
2022-11-23T01:30:20.7289384Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7289506Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7289696Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7289792Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:30:20.7289796Z 
2022-11-23T01:30:20.7289862Z ok (1.652s)
2022-11-23T01:30:20.7290219Z   test_cpu_broadcast1_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7290541Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7290757Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7291008Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7291283Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7291604Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7291954Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7292273Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7292643Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7292735Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7292825Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7292903Z               4 BINARY_ADD
2022-11-23T01:30:20.7292990Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7293063Z               8 RETURN_VALUE
2022-11-23T01:30:20.7293124Z  
2022-11-23T01:30:20.7293131Z 
2022-11-23T01:30:20.7293470Z [2022-11-23 01:29:03,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7293669Z [2022-11-23 01:29:03,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7293904Z [2022-11-23 01:29:03,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7294177Z [2022-11-23 01:29:03,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7294419Z [2022-11-23 01:29:03,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7294660Z [2022-11-23 01:29:03,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7295100Z [2022-11-23 01:29:03,006] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7295343Z [2022-11-23 01:29:03,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7295574Z [2022-11-23 01:29:03,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7295826Z [2022-11-23 01:29:03,007] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7296059Z [2022-11-23 01:29:03,009] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7296248Z [2022-11-23 01:29:03,010] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7296382Z  __compiled_fn_461 <eval_with_key>.3585 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7296606Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7296691Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7296868Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7296963Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7296968Z 
2022-11-23T01:30:20.7297296Z [2022-11-23 01:29:03,010] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7297390Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7297468Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7297556Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7297648Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7297735Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7297822Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7297895Z              12 RETURN_VALUE
2022-11-23T01:30:20.7297903Z 
2022-11-23T01:30:20.7297962Z  
2022-11-23T01:30:20.7298271Z [2022-11-23 01:29:03,010] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7298378Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_461)
2022-11-23T01:30:20.7298471Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7298561Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7298639Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7298726Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7298809Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7298872Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7298957Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7299058Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7299160Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7299249Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7299322Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7299407Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7299468Z              26 RETURN_VALUE
2022-11-23T01:30:20.7299486Z 
2022-11-23T01:30:20.7299534Z  
2022-11-23T01:30:20.7299765Z [2022-11-23 01:29:03,011] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7299838Z  - 
2022-11-23T01:30:20.7299957Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7300022Z             {
2022-11-23T01:30:20.7300161Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7300346Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7300453Z                 'obj_weakref': None
2022-11-23T01:30:20.7300676Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7300741Z             }
2022-11-23T01:30:20.7300806Z             
2022-11-23T01:30:20.7300912Z  - 
2022-11-23T01:30:20.7301036Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7301087Z             {
2022-11-23T01:30:20.7301230Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7301336Z                 'code': None,
2022-11-23T01:30:20.7301550Z                 'obj_weakref': <weakref at 0x7ff59c18cf90; to 'Tensor' at 0x7ff5a845f560>
2022-11-23T01:30:20.7301807Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7301871Z             }
2022-11-23T01:30:20.7301936Z             
2022-11-23T01:30:20.7302001Z  - 
2022-11-23T01:30:20.7302111Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7302171Z             {
2022-11-23T01:30:20.7302314Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7302423Z                 'code': None,
2022-11-23T01:30:20.7302632Z                 'obj_weakref': <weakref at 0x7ff59c18d3f0; to 'Tensor' at 0x7ff58fd2a250>
2022-11-23T01:30:20.7302884Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7302948Z             }
2022-11-23T01:30:20.7302997Z             
2022-11-23T01:30:20.7303065Z  - 
2022-11-23T01:30:20.7303192Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7303256Z             {
2022-11-23T01:30:20.7303389Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7303557Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7303674Z                 'obj_weakref': None
2022-11-23T01:30:20.7303890Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7303952Z             }
2022-11-23T01:30:20.7304015Z             
2022-11-23T01:30:20.7304081Z  - 
2022-11-23T01:30:20.7304200Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7304260Z             {
2022-11-23T01:30:20.7304382Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7304598Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7304718Z                 'obj_weakref': None
2022-11-23T01:30:20.7304938Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7305004Z             }
2022-11-23T01:30:20.7305067Z             
2022-11-23T01:30:20.7305328Z [2022-11-23 01:29:03,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 453
2022-11-23T01:30:20.7305693Z [2022-11-23 01:29:03,023] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ho/chon7xg2dlbfc4extfkgfymo5ffc2ozhgzksvoejr6diay5o7nq4.py
2022-11-23T01:30:20.7305942Z [2022-11-23 01:29:03,023] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 453
2022-11-23T01:30:20.7305961Z 
2022-11-23T01:30:20.7306042Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7306110Z import torch
2022-11-23T01:30:20.7306182Z import random
2022-11-23T01:30:20.7306294Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7306412Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7306417Z 
2022-11-23T01:30:20.7306495Z aten = torch.ops.aten
2022-11-23T01:30:20.7306653Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7306734Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7306739Z 
2022-11-23T01:30:20.7306754Z 
2022-11-23T01:30:20.7306875Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7307077Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7307198Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7307299Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7307396Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7307457Z {
2022-11-23T01:30:20.7307557Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7307639Z     {
2022-11-23T01:30:20.7307714Z         #pragma omp for 
2022-11-23T01:30:20.7307796Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.7307860Z         {
2022-11-23T01:30:20.7308000Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7308134Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.7308219Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7308296Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7308357Z         }
2022-11-23T01:30:20.7308455Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7308537Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.7308601Z         {
2022-11-23T01:30:20.7308681Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7308760Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7308829Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7308907Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7308971Z         }
2022-11-23T01:30:20.7309033Z     }
2022-11-23T01:30:20.7309092Z }
2022-11-23T01:30:20.7309172Z ''')
2022-11-23T01:30:20.7309177Z 
2022-11-23T01:30:20.7309182Z 
2022-11-23T01:30:20.7309271Z async_compile.wait(globals())
2022-11-23T01:30:20.7309330Z del async_compile
2022-11-23T01:30:20.7309335Z 
2022-11-23T01:30:20.7309404Z def call(args):
2022-11-23T01:30:20.7309477Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7309547Z     args.clear()
2022-11-23T01:30:20.7309738Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7309896Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7309965Z     del arg0_1
2022-11-23T01:30:20.7310020Z     del arg1_1
2022-11-23T01:30:20.7310091Z     return (buf0, )
2022-11-23T01:30:20.7310096Z 
2022-11-23T01:30:20.7310100Z 
2022-11-23T01:30:20.7310174Z if __name__ == "__main__":
2022-11-23T01:30:20.7310288Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7310412Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7310604Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7310794Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7310910Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7310915Z 
2022-11-23T01:30:20.7310969Z ok (0.023s)
2022-11-23T01:30:20.7311315Z   test_cpu_broadcast1_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7311629Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7311848Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7312101Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7312379Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7312726Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7313073Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7313392Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7313770Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7313960Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7314052Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7314126Z               4 BINARY_ADD
2022-11-23T01:30:20.7314216Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7314292Z               8 RETURN_VALUE
2022-11-23T01:30:20.7314361Z  
2022-11-23T01:30:20.7314366Z 
2022-11-23T01:30:20.7314691Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7314899Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7315123Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7315394Z [2022-11-23 01:29:03,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7315636Z [2022-11-23 01:29:03,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7315881Z [2022-11-23 01:29:03,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7316270Z [2022-11-23 01:29:03,028] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7316511Z [2022-11-23 01:29:03,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7316743Z [2022-11-23 01:29:03,029] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7316993Z [2022-11-23 01:29:03,029] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7317240Z [2022-11-23 01:29:03,032] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7317427Z [2022-11-23 01:29:03,032] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7317548Z  __compiled_fn_462 <eval_with_key>.3591 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7317636Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7317724Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7317901Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7317995Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7318000Z 
2022-11-23T01:30:20.7318319Z [2022-11-23 01:29:03,032] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7318413Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7318504Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7318578Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7318670Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7318756Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7318841Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7318915Z              12 RETURN_VALUE
2022-11-23T01:30:20.7318920Z 
2022-11-23T01:30:20.7318979Z  
2022-11-23T01:30:20.7319337Z [2022-11-23 01:29:03,033] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7319434Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_462)
2022-11-23T01:30:20.7319523Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7319611Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7319688Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7319777Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7319862Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7319935Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7320009Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7320138Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7320239Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7320327Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7320404Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7320493Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7320567Z              26 RETURN_VALUE
2022-11-23T01:30:20.7320572Z 
2022-11-23T01:30:20.7320631Z  
2022-11-23T01:30:20.7320801Z [2022-11-23 01:29:03,033] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7320869Z  - 
2022-11-23T01:30:20.7320989Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7321055Z             {
2022-11-23T01:30:20.7321193Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7321379Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7321498Z                 'obj_weakref': None
2022-11-23T01:30:20.7321712Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7321773Z             }
2022-11-23T01:30:20.7321837Z             
2022-11-23T01:30:20.7321906Z  - 
2022-11-23T01:30:20.7322029Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7322091Z             {
2022-11-23T01:30:20.7322233Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7322328Z                 'code': None,
2022-11-23T01:30:20.7322537Z                 'obj_weakref': <weakref at 0x7ff59c14d030; to 'Tensor' at 0x7ff5a845f4c0>
2022-11-23T01:30:20.7322789Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7322855Z             }
2022-11-23T01:30:20.7322919Z             
2022-11-23T01:30:20.7322988Z  - 
2022-11-23T01:30:20.7323108Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7323158Z             {
2022-11-23T01:30:20.7323299Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7323409Z                 'code': None,
2022-11-23T01:30:20.7323615Z                 'obj_weakref': <weakref at 0x7ff59c14c220; to 'Tensor' at 0x7ff57ff16d40>
2022-11-23T01:30:20.7323866Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7323931Z             }
2022-11-23T01:30:20.7323992Z             
2022-11-23T01:30:20.7324048Z  - 
2022-11-23T01:30:20.7324180Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7324244Z             {
2022-11-23T01:30:20.7324376Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7324544Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7324661Z                 'obj_weakref': None
2022-11-23T01:30:20.7324890Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7324942Z             }
2022-11-23T01:30:20.7325005Z             
2022-11-23T01:30:20.7325076Z  - 
2022-11-23T01:30:20.7325200Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7325261Z             {
2022-11-23T01:30:20.7325395Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7325608Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7325742Z                 'obj_weakref': None
2022-11-23T01:30:20.7325959Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7326022Z             }
2022-11-23T01:30:20.7326086Z             
2022-11-23T01:30:20.7326344Z [2022-11-23 01:29:03,037] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 454
2022-11-23T01:30:20.7326712Z [2022-11-23 01:29:04,460] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zm/czmqs5ydqd5cdlalg2bcxjoy6gkarm7wypzdbsukfn3jubhnuyp7.py
2022-11-23T01:30:20.7326974Z [2022-11-23 01:29:04,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 454
2022-11-23T01:30:20.7327014Z 
2022-11-23T01:30:20.7327107Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7327163Z import torch
2022-11-23T01:30:20.7327231Z import random
2022-11-23T01:30:20.7327346Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7327469Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7327474Z 
2022-11-23T01:30:20.7327549Z aten = torch.ops.aten
2022-11-23T01:30:20.7327680Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7327769Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7327774Z 
2022-11-23T01:30:20.7327778Z 
2022-11-23T01:30:20.7327909Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7328102Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7328217Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7328325Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7328423Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7328485Z {
2022-11-23T01:30:20.7328579Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7328640Z     {
2022-11-23T01:30:20.7328704Z         #pragma omp for 
2022-11-23T01:30:20.7328787Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7328852Z         {
2022-11-23T01:30:20.7328936Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.7328999Z             {
2022-11-23T01:30:20.7329133Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T01:30:20.7329257Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:30:20.7329332Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7329434Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7329495Z             }
2022-11-23T01:30:20.7329586Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.7329670Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.7329732Z             {
2022-11-23T01:30:20.7329813Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.7329884Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7329968Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7330060Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7330122Z             }
2022-11-23T01:30:20.7330185Z         }
2022-11-23T01:30:20.7330246Z     }
2022-11-23T01:30:20.7330307Z }
2022-11-23T01:30:20.7330372Z ''')
2022-11-23T01:30:20.7330377Z 
2022-11-23T01:30:20.7330381Z 
2022-11-23T01:30:20.7330468Z async_compile.wait(globals())
2022-11-23T01:30:20.7330538Z del async_compile
2022-11-23T01:30:20.7330543Z 
2022-11-23T01:30:20.7330613Z def call(args):
2022-11-23T01:30:20.7330688Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7330759Z     args.clear()
2022-11-23T01:30:20.7330967Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7331119Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7331185Z     del arg0_1
2022-11-23T01:30:20.7331250Z     del arg1_1
2022-11-23T01:30:20.7331322Z     return (buf0, )
2022-11-23T01:30:20.7331327Z 
2022-11-23T01:30:20.7331331Z 
2022-11-23T01:30:20.7331437Z if __name__ == "__main__":
2022-11-23T01:30:20.7331551Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7331674Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7331867Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7332058Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7332169Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7332174Z 
2022-11-23T01:30:20.7332239Z ok (1.438s)
2022-11-23T01:30:20.7332590Z   test_cpu_broadcast1_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7332934Z [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7333153Z [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7333405Z [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7333680Z [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7333998Z [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7334328Z [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7334647Z [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7335028Z [2022-11-23 01:29:04,465] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7335119Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7335210Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7335283Z               4 BINARY_ADD
2022-11-23T01:30:20.7335369Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7335446Z               8 RETURN_VALUE
2022-11-23T01:30:20.7335507Z  
2022-11-23T01:30:20.7335512Z 
2022-11-23T01:30:20.7335809Z [2022-11-23 01:29:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7336020Z [2022-11-23 01:29:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7336252Z [2022-11-23 01:29:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7336659Z [2022-11-23 01:29:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7336901Z [2022-11-23 01:29:04,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7337145Z [2022-11-23 01:29:04,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7337531Z [2022-11-23 01:29:04,467] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7337775Z [2022-11-23 01:29:04,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7338010Z [2022-11-23 01:29:04,467] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7338251Z [2022-11-23 01:29:04,468] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7338540Z [2022-11-23 01:29:04,470] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7338729Z [2022-11-23 01:29:04,471] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7338864Z  __compiled_fn_463 <eval_with_key>.3597 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7338952Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7339038Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7339213Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7339307Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7339313Z 
2022-11-23T01:30:20.7339638Z [2022-11-23 01:29:04,471] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7339757Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7339848Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7339936Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7340031Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7340115Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7340203Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7340277Z              12 RETURN_VALUE
2022-11-23T01:30:20.7340282Z 
2022-11-23T01:30:20.7340330Z  
2022-11-23T01:30:20.7340656Z [2022-11-23 01:29:04,471] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7340764Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_463)
2022-11-23T01:30:20.7340852Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7340942Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7341017Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7341105Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7341190Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7341255Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7341341Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7341444Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7341542Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7341631Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7341705Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7341791Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7341853Z              26 RETURN_VALUE
2022-11-23T01:30:20.7341857Z 
2022-11-23T01:30:20.7341915Z  
2022-11-23T01:30:20.7342098Z [2022-11-23 01:29:04,472] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7342169Z  - 
2022-11-23T01:30:20.7342288Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7342350Z             {
2022-11-23T01:30:20.7342487Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7342662Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7342783Z                 'obj_weakref': None
2022-11-23T01:30:20.7343007Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7343073Z             }
2022-11-23T01:30:20.7343140Z             
2022-11-23T01:30:20.7343209Z  - 
2022-11-23T01:30:20.7343331Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7343381Z             {
2022-11-23T01:30:20.7343521Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7343628Z                 'code': None,
2022-11-23T01:30:20.7343838Z                 'obj_weakref': <weakref at 0x7ff57ff16930; to 'Tensor' at 0x7ff58fc4c360>
2022-11-23T01:30:20.7344092Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7344156Z             }
2022-11-23T01:30:20.7344220Z             
2022-11-23T01:30:20.7344276Z  - 
2022-11-23T01:30:20.7344397Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7344489Z             {
2022-11-23T01:30:20.7344632Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7344736Z                 'code': None,
2022-11-23T01:30:20.7344945Z                 'obj_weakref': <weakref at 0x7ff57ff149f0; to 'Tensor' at 0x7ff59c14d760>
2022-11-23T01:30:20.7345196Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7345246Z             }
2022-11-23T01:30:20.7345306Z             
2022-11-23T01:30:20.7345376Z  - 
2022-11-23T01:30:20.7345506Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7345572Z             {
2022-11-23T01:30:20.7345734Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7345901Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7346006Z                 'obj_weakref': None
2022-11-23T01:30:20.7346230Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7346297Z             }
2022-11-23T01:30:20.7346360Z             
2022-11-23T01:30:20.7346428Z  - 
2022-11-23T01:30:20.7346547Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7346610Z             {
2022-11-23T01:30:20.7346732Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7346946Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7347064Z                 'obj_weakref': None
2022-11-23T01:30:20.7347281Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7347348Z             }
2022-11-23T01:30:20.7347411Z             
2022-11-23T01:30:20.7347670Z [2022-11-23 01:29:04,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 455
2022-11-23T01:30:20.7348030Z [2022-11-23 01:29:05,913] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bs/cbswec4tfiyssusfsadazkizrluwkqqzxsrvfsi7ktd3apzfesyt.py
2022-11-23T01:30:20.7348292Z [2022-11-23 01:29:05,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 455
2022-11-23T01:30:20.7348298Z 
2022-11-23T01:30:20.7348390Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7348457Z import torch
2022-11-23T01:30:20.7348530Z import random
2022-11-23T01:30:20.7348643Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7348762Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7348767Z 
2022-11-23T01:30:20.7348842Z aten = torch.ops.aten
2022-11-23T01:30:20.7348962Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7349058Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7349063Z 
2022-11-23T01:30:20.7349067Z 
2022-11-23T01:30:20.7349199Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7349404Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7349526Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7349627Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7349724Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7349786Z {
2022-11-23T01:30:20.7349870Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7349929Z     {
2022-11-23T01:30:20.7350010Z         #pragma omp for 
2022-11-23T01:30:20.7350089Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.7350152Z         {
2022-11-23T01:30:20.7350286Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7350404Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:30:20.7350477Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7350566Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7350627Z         }
2022-11-23T01:30:20.7350720Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7350803Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.7350893Z         {
2022-11-23T01:30:20.7350975Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7351042Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:30:20.7351123Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7351201Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7351262Z         }
2022-11-23T01:30:20.7351323Z     }
2022-11-23T01:30:20.7351381Z }
2022-11-23T01:30:20.7351457Z ''')
2022-11-23T01:30:20.7351463Z 
2022-11-23T01:30:20.7351467Z 
2022-11-23T01:30:20.7351542Z async_compile.wait(globals())
2022-11-23T01:30:20.7351613Z del async_compile
2022-11-23T01:30:20.7351618Z 
2022-11-23T01:30:20.7351687Z def call(args):
2022-11-23T01:30:20.7351790Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7351862Z     args.clear()
2022-11-23T01:30:20.7352055Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7352217Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7352274Z     del arg0_1
2022-11-23T01:30:20.7352340Z     del arg1_1
2022-11-23T01:30:20.7352409Z     return (buf0, )
2022-11-23T01:30:20.7352414Z 
2022-11-23T01:30:20.7352418Z 
2022-11-23T01:30:20.7352494Z if __name__ == "__main__":
2022-11-23T01:30:20.7352607Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7352728Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7352921Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7353111Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7353213Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7353236Z 
2022-11-23T01:30:20.7353290Z ok (1.453s)
2022-11-23T01:30:20.7353631Z   test_cpu_broadcast1_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:05,917] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7354025Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7354248Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7354500Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7354777Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7355093Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7355434Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7355758Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7356126Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7356218Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7356305Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7356383Z               4 BINARY_ADD
2022-11-23T01:30:20.7356474Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7356551Z               8 RETURN_VALUE
2022-11-23T01:30:20.7356615Z  
2022-11-23T01:30:20.7356620Z 
2022-11-23T01:30:20.7356927Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7357121Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7357391Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7357661Z [2022-11-23 01:29:05,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7357905Z [2022-11-23 01:29:05,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7358148Z [2022-11-23 01:29:05,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7358531Z [2022-11-23 01:29:05,919] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7358803Z [2022-11-23 01:29:05,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7359035Z [2022-11-23 01:29:05,920] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7359287Z [2022-11-23 01:29:05,920] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7359531Z [2022-11-23 01:29:05,924] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7359705Z [2022-11-23 01:29:05,924] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7359837Z  __compiled_fn_464 <eval_with_key>.3603 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7359926Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7360013Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7360187Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7360283Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7360288Z 
2022-11-23T01:30:20.7360609Z [2022-11-23 01:29:05,925] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7360704Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7360781Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7360866Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7360959Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7361044Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7361133Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7361209Z              12 RETURN_VALUE
2022-11-23T01:30:20.7361214Z 
2022-11-23T01:30:20.7361274Z  
2022-11-23T01:30:20.7361579Z [2022-11-23 01:29:05,925] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7361687Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_464)
2022-11-23T01:30:20.7361774Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7361863Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7361943Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7362031Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7362117Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7362193Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7362267Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7362368Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7362469Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7362557Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7362633Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7362718Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7362793Z              26 RETURN_VALUE
2022-11-23T01:30:20.7362797Z 
2022-11-23T01:30:20.7362845Z  
2022-11-23T01:30:20.7363026Z [2022-11-23 01:29:05,925] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7363095Z  - 
2022-11-23T01:30:20.7363213Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7363276Z             {
2022-11-23T01:30:20.7363457Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7363646Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7363752Z                 'obj_weakref': None
2022-11-23T01:30:20.7363975Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7364038Z             }
2022-11-23T01:30:20.7364103Z             
2022-11-23T01:30:20.7364174Z  - 
2022-11-23T01:30:20.7364297Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7364361Z             {
2022-11-23T01:30:20.7364490Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7364621Z                 'code': None,
2022-11-23T01:30:20.7364835Z                 'obj_weakref': <weakref at 0x7ff57f8e34c0; to 'Tensor' at 0x7ff58fd08db0>
2022-11-23T01:30:20.7365085Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7365152Z             }
2022-11-23T01:30:20.7365213Z             
2022-11-23T01:30:20.7365279Z  - 
2022-11-23T01:30:20.7365389Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7365449Z             {
2022-11-23T01:30:20.7365591Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7365696Z                 'code': None,
2022-11-23T01:30:20.7365904Z                 'obj_weakref': <weakref at 0x7ff5a81ba3e0; to 'Tensor' at 0x7ff59c14c4f0>
2022-11-23T01:30:20.7366154Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7366217Z             }
2022-11-23T01:30:20.7366268Z             
2022-11-23T01:30:20.7366335Z  - 
2022-11-23T01:30:20.7366464Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7366525Z             {
2022-11-23T01:30:20.7366658Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7366824Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7366944Z                 'obj_weakref': None
2022-11-23T01:30:20.7367162Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7367223Z             }
2022-11-23T01:30:20.7367287Z             
2022-11-23T01:30:20.7367356Z  - 
2022-11-23T01:30:20.7367476Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7367539Z             {
2022-11-23T01:30:20.7367673Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7367877Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7367993Z                 'obj_weakref': None
2022-11-23T01:30:20.7368216Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7368280Z             }
2022-11-23T01:30:20.7368341Z             
2022-11-23T01:30:20.7368598Z [2022-11-23 01:29:05,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 456
2022-11-23T01:30:20.7368960Z [2022-11-23 01:29:07,354] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n6/cn6jgemgitihk7fivjxhs44xom43wegd7l4xni2xf5c5nd74rxap.py
2022-11-23T01:30:20.7369222Z [2022-11-23 01:29:07,354] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 456
2022-11-23T01:30:20.7369228Z 
2022-11-23T01:30:20.7369308Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7369375Z import torch
2022-11-23T01:30:20.7369445Z import random
2022-11-23T01:30:20.7369561Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7369681Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7369688Z 
2022-11-23T01:30:20.7369764Z aten = torch.ops.aten
2022-11-23T01:30:20.7369894Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7369974Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7369990Z 
2022-11-23T01:30:20.7369994Z 
2022-11-23T01:30:20.7370141Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7370350Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7370470Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7370574Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7370673Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7370731Z {
2022-11-23T01:30:20.7370828Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7370877Z     {
2022-11-23T01:30:20.7370952Z         #pragma omp for 
2022-11-23T01:30:20.7371032Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7371120Z         {
2022-11-23T01:30:20.7371202Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.7371264Z             {
2022-11-23T01:30:20.7371401Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T01:30:20.7371530Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7371618Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7371720Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7371784Z             }
2022-11-23T01:30:20.7371876Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.7371957Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.7372020Z             {
2022-11-23T01:30:20.7372091Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.7372186Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.7372271Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7372363Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7372426Z             }
2022-11-23T01:30:20.7372487Z         }
2022-11-23T01:30:20.7372549Z     }
2022-11-23T01:30:20.7372597Z }
2022-11-23T01:30:20.7372675Z ''')
2022-11-23T01:30:20.7372681Z 
2022-11-23T01:30:20.7372685Z 
2022-11-23T01:30:20.7372775Z async_compile.wait(globals())
2022-11-23T01:30:20.7372848Z del async_compile
2022-11-23T01:30:20.7372854Z 
2022-11-23T01:30:20.7372925Z def call(args):
2022-11-23T01:30:20.7372999Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7373068Z     args.clear()
2022-11-23T01:30:20.7373255Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7373416Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7373483Z     del arg0_1
2022-11-23T01:30:20.7373552Z     del arg1_1
2022-11-23T01:30:20.7373623Z     return (buf0, )
2022-11-23T01:30:20.7373627Z 
2022-11-23T01:30:20.7373631Z 
2022-11-23T01:30:20.7373707Z if __name__ == "__main__":
2022-11-23T01:30:20.7373820Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7373939Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7374120Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7374319Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7374434Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7374439Z 
2022-11-23T01:30:20.7374506Z ok (1.441s)
2022-11-23T01:30:20.7374849Z   test_cpu_broadcast1_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:07,358] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7375165Z [2022-11-23 01:29:07,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7375381Z [2022-11-23 01:29:07,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7375637Z [2022-11-23 01:29:07,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7375912Z [2022-11-23 01:29:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7376245Z [2022-11-23 01:29:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7376788Z [2022-11-23 01:29:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7377110Z [2022-11-23 01:29:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7377494Z [2022-11-23 01:29:07,359] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7377643Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7377733Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7377806Z               4 BINARY_ADD
2022-11-23T01:30:20.7377893Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7377971Z               8 RETURN_VALUE
2022-11-23T01:30:20.7378019Z  
2022-11-23T01:30:20.7378025Z 
2022-11-23T01:30:20.7378336Z [2022-11-23 01:29:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7378545Z [2022-11-23 01:29:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7378785Z [2022-11-23 01:29:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7379058Z [2022-11-23 01:29:07,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7379302Z [2022-11-23 01:29:07,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7379547Z [2022-11-23 01:29:07,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7379933Z [2022-11-23 01:29:07,361] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7380178Z [2022-11-23 01:29:07,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7380398Z [2022-11-23 01:29:07,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7380650Z [2022-11-23 01:29:07,362] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7380898Z [2022-11-23 01:29:07,364] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7381088Z [2022-11-23 01:29:07,364] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7381223Z  __compiled_fn_465 <eval_with_key>.3609 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7381312Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7381400Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7381578Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7381659Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7381676Z 
2022-11-23T01:30:20.7381984Z [2022-11-23 01:29:07,365] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7382076Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7382166Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7382255Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7382352Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7382434Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7382520Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7382583Z              12 RETURN_VALUE
2022-11-23T01:30:20.7382601Z 
2022-11-23T01:30:20.7382650Z  
2022-11-23T01:30:20.7383008Z [2022-11-23 01:29:07,365] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7383119Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_465)
2022-11-23T01:30:20.7383209Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7383300Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7383374Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7383463Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7383538Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7383610Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7383726Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7383828Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7383932Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7384021Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7384100Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7384174Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7384248Z              26 RETURN_VALUE
2022-11-23T01:30:20.7384253Z 
2022-11-23T01:30:20.7384317Z  
2022-11-23T01:30:20.7384499Z [2022-11-23 01:29:07,365] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7384567Z  - 
2022-11-23T01:30:20.7384684Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7384749Z             {
2022-11-23T01:30:20.7384876Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7385059Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7385179Z                 'obj_weakref': None
2022-11-23T01:30:20.7385401Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7385465Z             }
2022-11-23T01:30:20.7385526Z             
2022-11-23T01:30:20.7385592Z  - 
2022-11-23T01:30:20.7385703Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7385766Z             {
2022-11-23T01:30:20.7385908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7386012Z                 'code': None,
2022-11-23T01:30:20.7386224Z                 'obj_weakref': <weakref at 0x7ff57f8e3ce0; to 'Tensor' at 0x7ff5a83c64d0>
2022-11-23T01:30:20.7386477Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7386538Z             }
2022-11-23T01:30:20.7386603Z             
2022-11-23T01:30:20.7386658Z  - 
2022-11-23T01:30:20.7386781Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7386844Z             {
2022-11-23T01:30:20.7386988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7387092Z                 'code': None,
2022-11-23T01:30:20.7387305Z                 'obj_weakref': <weakref at 0x7ff58ff17bf0; to 'Tensor' at 0x7ff5a83c44f0>
2022-11-23T01:30:20.7387557Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7387607Z             }
2022-11-23T01:30:20.7387668Z             
2022-11-23T01:30:20.7387736Z  - 
2022-11-23T01:30:20.7387865Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7387926Z             {
2022-11-23T01:30:20.7388058Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7388213Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7388330Z                 'obj_weakref': None
2022-11-23T01:30:20.7388556Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7388620Z             }
2022-11-23T01:30:20.7388682Z             
2022-11-23T01:30:20.7388748Z  - 
2022-11-23T01:30:20.7388868Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7388918Z             {
2022-11-23T01:30:20.7389052Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7389299Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7389418Z                 'obj_weakref': None
2022-11-23T01:30:20.7389637Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7389700Z             }
2022-11-23T01:30:20.7389764Z             
2022-11-23T01:30:20.7390025Z [2022-11-23 01:29:07,370] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 457
2022-11-23T01:30:20.7390383Z [2022-11-23 01:29:08,785] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lh/clhrxcdsejdvfrp2ootu6sm67hhjnfdl6ojquxkjy6d75difeciq.py
2022-11-23T01:30:20.7390677Z [2022-11-23 01:29:08,785] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 457
2022-11-23T01:30:20.7390683Z 
2022-11-23T01:30:20.7390775Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7390844Z import torch
2022-11-23T01:30:20.7390914Z import random
2022-11-23T01:30:20.7391031Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7391153Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7391158Z 
2022-11-23T01:30:20.7391237Z aten = torch.ops.aten
2022-11-23T01:30:20.7391356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7391447Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7391452Z 
2022-11-23T01:30:20.7391457Z 
2022-11-23T01:30:20.7391592Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7391798Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7391917Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7392027Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:30:20.7392127Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.7392189Z {
2022-11-23T01:30:20.7392274Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7392337Z     {
2022-11-23T01:30:20.7392416Z         #pragma omp for 
2022-11-23T01:30:20.7392502Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7392566Z         {
2022-11-23T01:30:20.7392646Z             #pragma GCC ivdep
2022-11-23T01:30:20.7392719Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7392783Z             {
2022-11-23T01:30:20.7392847Z                 {
2022-11-23T01:30:20.7392915Z                     {
2022-11-23T01:30:20.7393011Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.7393113Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.7393225Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.7393306Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.7393401Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.7393469Z                     }
2022-11-23T01:30:20.7393535Z                 }
2022-11-23T01:30:20.7393600Z             }
2022-11-23T01:30:20.7393663Z         }
2022-11-23T01:30:20.7393725Z     }
2022-11-23T01:30:20.7393774Z }
2022-11-23T01:30:20.7393930Z ''')
2022-11-23T01:30:20.7393936Z 
2022-11-23T01:30:20.7393940Z 
2022-11-23T01:30:20.7394033Z async_compile.wait(globals())
2022-11-23T01:30:20.7394107Z del async_compile
2022-11-23T01:30:20.7394112Z 
2022-11-23T01:30:20.7394183Z def call(args):
2022-11-23T01:30:20.7394258Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7394330Z     args.clear()
2022-11-23T01:30:20.7394521Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7394685Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7394756Z     del arg0_1
2022-11-23T01:30:20.7394823Z     del arg1_1
2022-11-23T01:30:20.7394894Z     return (buf0, )
2022-11-23T01:30:20.7394899Z 
2022-11-23T01:30:20.7394903Z 
2022-11-23T01:30:20.7394982Z if __name__ == "__main__":
2022-11-23T01:30:20.7395094Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7395277Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7395460Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7395656Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7395772Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7395777Z 
2022-11-23T01:30:20.7395842Z ok (1.431s)
2022-11-23T01:30:20.7396180Z   test_cpu_broadcast1_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:08,789] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7396496Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7396740Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7396993Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7397269Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7397575Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7397921Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7398242Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7398629Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7398726Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7398820Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7398895Z               4 BINARY_ADD
2022-11-23T01:30:20.7398982Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7399057Z               8 RETURN_VALUE
2022-11-23T01:30:20.7399106Z  
2022-11-23T01:30:20.7399110Z 
2022-11-23T01:30:20.7399417Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7399626Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7399863Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7400133Z [2022-11-23 01:29:08,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7400374Z [2022-11-23 01:29:08,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7400617Z [2022-11-23 01:29:08,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7400998Z [2022-11-23 01:29:08,791] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7401241Z [2022-11-23 01:29:08,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7401462Z [2022-11-23 01:29:08,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7401714Z [2022-11-23 01:29:08,793] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7401959Z [2022-11-23 01:29:08,795] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7402175Z [2022-11-23 01:29:08,795] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7402309Z  __compiled_fn_466 <eval_with_key>.3615 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7402397Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7402481Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7402657Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7402739Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7402755Z 
2022-11-23T01:30:20.7403063Z [2022-11-23 01:29:08,796] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7403183Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7403272Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7403358Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7403447Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7403533Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7403621Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7403683Z              12 RETURN_VALUE
2022-11-23T01:30:20.7403700Z 
2022-11-23T01:30:20.7403748Z  
2022-11-23T01:30:20.7404067Z [2022-11-23 01:29:08,796] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7404173Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_466)
2022-11-23T01:30:20.7404262Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7404349Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7404423Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7404513Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7404588Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7404661Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7404747Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7404850Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7404948Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7405033Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7405106Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7405181Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7405256Z              26 RETURN_VALUE
2022-11-23T01:30:20.7405261Z 
2022-11-23T01:30:20.7405319Z  
2022-11-23T01:30:20.7405499Z [2022-11-23 01:29:08,797] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7405567Z  - 
2022-11-23T01:30:20.7405683Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7405748Z             {
2022-11-23T01:30:20.7405875Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7406061Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7406178Z                 'obj_weakref': None
2022-11-23T01:30:20.7406402Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7406465Z             }
2022-11-23T01:30:20.7406526Z             
2022-11-23T01:30:20.7406598Z  - 
2022-11-23T01:30:20.7406708Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7406769Z             {
2022-11-23T01:30:20.7406908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7407011Z                 'code': None,
2022-11-23T01:30:20.7407222Z                 'obj_weakref': <weakref at 0x7ff58f9a8a90; to 'Tensor' at 0x7ff5a83c6b10>
2022-11-23T01:30:20.7407471Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7407535Z             }
2022-11-23T01:30:20.7407586Z             
2022-11-23T01:30:20.7407653Z  - 
2022-11-23T01:30:20.7407775Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7407836Z             {
2022-11-23T01:30:20.7407976Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7408080Z                 'code': None,
2022-11-23T01:30:20.7408325Z                 'obj_weakref': <weakref at 0x7ff58f9a9350; to 'Tensor' at 0x7ff5a83c5ee0>
2022-11-23T01:30:20.7408566Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7408628Z             }
2022-11-23T01:30:20.7408689Z             
2022-11-23T01:30:20.7408756Z  - 
2022-11-23T01:30:20.7408884Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7408948Z             {
2022-11-23T01:30:20.7409081Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7409237Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7409380Z                 'obj_weakref': None
2022-11-23T01:30:20.7409608Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7409670Z             }
2022-11-23T01:30:20.7409732Z             
2022-11-23T01:30:20.7409799Z  - 
2022-11-23T01:30:20.7409921Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7409971Z             {
2022-11-23T01:30:20.7410106Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7410320Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7410436Z                 'obj_weakref': None
2022-11-23T01:30:20.7410654Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7410715Z             }
2022-11-23T01:30:20.7410775Z             
2022-11-23T01:30:20.7411024Z [2022-11-23 01:29:08,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 458
2022-11-23T01:30:20.7411389Z [2022-11-23 01:29:10,187] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oq/coqbbb6olm6dtjwpf7nwqnjak7lo5l4xpycv5oikgs6oy5n2p7p4.py
2022-11-23T01:30:20.7411653Z [2022-11-23 01:29:10,187] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 458
2022-11-23T01:30:20.7411661Z 
2022-11-23T01:30:20.7411753Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7411820Z import torch
2022-11-23T01:30:20.7411888Z import random
2022-11-23T01:30:20.7412000Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7412118Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7412123Z 
2022-11-23T01:30:20.7412198Z aten = torch.ops.aten
2022-11-23T01:30:20.7412318Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7412408Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7412413Z 
2022-11-23T01:30:20.7412418Z 
2022-11-23T01:30:20.7412552Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7412755Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7412873Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7412974Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:20.7413074Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7413122Z {
2022-11-23T01:30:20.7413220Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7413280Z     {
2022-11-23T01:30:20.7413357Z         #pragma omp for 
2022-11-23T01:30:20.7413437Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7413499Z         {
2022-11-23T01:30:20.7413564Z             {
2022-11-23T01:30:20.7413615Z                 {
2022-11-23T01:30:20.7413704Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7413793Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7413897Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:20.7413987Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.7414069Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.7414132Z                 }
2022-11-23T01:30:20.7414182Z             }
2022-11-23T01:30:20.7414243Z         }
2022-11-23T01:30:20.7414303Z     }
2022-11-23T01:30:20.7414362Z }
2022-11-23T01:30:20.7414465Z ''')
2022-11-23T01:30:20.7414471Z 
2022-11-23T01:30:20.7414476Z 
2022-11-23T01:30:20.7414566Z async_compile.wait(globals())
2022-11-23T01:30:20.7414636Z del async_compile
2022-11-23T01:30:20.7414641Z 
2022-11-23T01:30:20.7414696Z def call(args):
2022-11-23T01:30:20.7414770Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7414838Z     args.clear()
2022-11-23T01:30:20.7415033Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7415194Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7415263Z     del arg0_1
2022-11-23T01:30:20.7415357Z     del arg1_1
2022-11-23T01:30:20.7415414Z     return (buf0, )
2022-11-23T01:30:20.7415431Z 
2022-11-23T01:30:20.7415436Z 
2022-11-23T01:30:20.7415498Z if __name__ == "__main__":
2022-11-23T01:30:20.7415609Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7415729Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7415926Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7416114Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.7416225Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7416230Z 
2022-11-23T01:30:20.7416295Z ok (1.402s)
2022-11-23T01:30:20.7416753Z   test_cpu_broadcast1_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:10,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7417075Z [2022-11-23 01:29:10,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7417294Z [2022-11-23 01:29:10,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7417548Z [2022-11-23 01:29:10,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7417826Z [2022-11-23 01:29:10,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7418144Z [2022-11-23 01:29:10,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7418491Z [2022-11-23 01:29:10,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7418815Z [2022-11-23 01:29:10,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7419197Z [2022-11-23 01:29:10,193] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7419286Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7419379Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7419440Z               4 BINARY_ADD
2022-11-23T01:30:20.7419527Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7419601Z               8 RETURN_VALUE
2022-11-23T01:30:20.7419663Z  
2022-11-23T01:30:20.7419668Z 
2022-11-23T01:30:20.7419978Z [2022-11-23 01:29:10,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7420184Z [2022-11-23 01:29:10,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7420420Z [2022-11-23 01:29:10,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7420693Z [2022-11-23 01:29:10,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7420920Z [2022-11-23 01:29:10,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7421210Z [2022-11-23 01:29:10,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7421594Z [2022-11-23 01:29:10,194] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7421838Z [2022-11-23 01:29:10,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7422068Z [2022-11-23 01:29:10,194] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7422319Z [2022-11-23 01:29:10,195] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7422607Z [2022-11-23 01:29:10,199] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7422794Z [2022-11-23 01:29:10,199] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7422930Z  __compiled_fn_467 <eval_with_key>.3621 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7423007Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7423092Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7423269Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7423364Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7423369Z 
2022-11-23T01:30:20.7423695Z [2022-11-23 01:29:10,199] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7423788Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7423879Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7423965Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7424044Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7424127Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7424212Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7424289Z              12 RETURN_VALUE
2022-11-23T01:30:20.7424294Z 
2022-11-23T01:30:20.7424354Z  
2022-11-23T01:30:20.7424673Z [2022-11-23 01:29:10,200] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7424781Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_467)
2022-11-23T01:30:20.7424858Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7424947Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7425022Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7425109Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7425198Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7425274Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7425358Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7425459Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7425551Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7425637Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7425712Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7425797Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7425870Z              26 RETURN_VALUE
2022-11-23T01:30:20.7425875Z 
2022-11-23T01:30:20.7425934Z  
2022-11-23T01:30:20.7426115Z [2022-11-23 01:29:10,200] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7426172Z  - 
2022-11-23T01:30:20.7426288Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7426352Z             {
2022-11-23T01:30:20.7426489Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7426675Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7426794Z                 'obj_weakref': None
2022-11-23T01:30:20.7427017Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7427095Z             }
2022-11-23T01:30:20.7427158Z             
2022-11-23T01:30:20.7427226Z  - 
2022-11-23T01:30:20.7427349Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7427409Z             {
2022-11-23T01:30:20.7427548Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7427652Z                 'code': None,
2022-11-23T01:30:20.7427850Z                 'obj_weakref': <weakref at 0x7ff5a81b9620; to 'Tensor' at 0x7ff58f9abe20>
2022-11-23T01:30:20.7428102Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7428166Z             }
2022-11-23T01:30:20.7428254Z             
2022-11-23T01:30:20.7428322Z  - 
2022-11-23T01:30:20.7428442Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7428503Z             {
2022-11-23T01:30:20.7428633Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7428737Z                 'code': None,
2022-11-23T01:30:20.7428950Z                 'obj_weakref': <weakref at 0x7ff59c0299e0; to 'Tensor' at 0x7ff58f9aae80>
2022-11-23T01:30:20.7429201Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7429266Z             }
2022-11-23T01:30:20.7429329Z             
2022-11-23T01:30:20.7429398Z  - 
2022-11-23T01:30:20.7429515Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7429579Z             {
2022-11-23T01:30:20.7429715Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7429884Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7430003Z                 'obj_weakref': None
2022-11-23T01:30:20.7430234Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7430298Z             }
2022-11-23T01:30:20.7430348Z             
2022-11-23T01:30:20.7430417Z  - 
2022-11-23T01:30:20.7430538Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7430602Z             {
2022-11-23T01:30:20.7430739Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7430956Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7431073Z                 'obj_weakref': None
2022-11-23T01:30:20.7431282Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7431345Z             }
2022-11-23T01:30:20.7431408Z             
2022-11-23T01:30:20.7431668Z [2022-11-23 01:29:10,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 459
2022-11-23T01:30:20.7432037Z [2022-11-23 01:29:11,601] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/ceag4hxpn2xinu5e3mwvsdrtmuulimq45j4vf6i2fx6whfdad2ya.py
2022-11-23T01:30:20.7432301Z [2022-11-23 01:29:11,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 459
2022-11-23T01:30:20.7432306Z 
2022-11-23T01:30:20.7432402Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7432472Z import torch
2022-11-23T01:30:20.7432529Z import random
2022-11-23T01:30:20.7432645Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7432767Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7432772Z 
2022-11-23T01:30:20.7432850Z aten = torch.ops.aten
2022-11-23T01:30:20.7432984Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7433074Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7433079Z 
2022-11-23T01:30:20.7433083Z 
2022-11-23T01:30:20.7433215Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7433426Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7433532Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7433636Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7433736Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7433899Z {
2022-11-23T01:30:20.7434000Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7434066Z     {
2022-11-23T01:30:20.7434142Z         #pragma omp for 
2022-11-23T01:30:20.7434211Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7434276Z         {
2022-11-23T01:30:20.7434355Z             #pragma GCC ivdep
2022-11-23T01:30:20.7434441Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7434505Z             {
2022-11-23T01:30:20.7434570Z                 {
2022-11-23T01:30:20.7434637Z                     {
2022-11-23T01:30:20.7434718Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.7434854Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:30:20.7434947Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7435045Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7435112Z                     }
2022-11-23T01:30:20.7435177Z                 }
2022-11-23T01:30:20.7435243Z             }
2022-11-23T01:30:20.7435295Z         }
2022-11-23T01:30:20.7435357Z     }
2022-11-23T01:30:20.7435419Z }
2022-11-23T01:30:20.7435501Z ''')
2022-11-23T01:30:20.7435506Z 
2022-11-23T01:30:20.7435511Z 
2022-11-23T01:30:20.7435599Z async_compile.wait(globals())
2022-11-23T01:30:20.7435672Z del async_compile
2022-11-23T01:30:20.7435676Z 
2022-11-23T01:30:20.7435745Z def call(args):
2022-11-23T01:30:20.7435807Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7435878Z     args.clear()
2022-11-23T01:30:20.7436081Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7436242Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7436311Z     del arg0_1
2022-11-23T01:30:20.7436375Z     del arg1_1
2022-11-23T01:30:20.7436444Z     return (buf0, )
2022-11-23T01:30:20.7436449Z 
2022-11-23T01:30:20.7436453Z 
2022-11-23T01:30:20.7436515Z if __name__ == "__main__":
2022-11-23T01:30:20.7436628Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7436748Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7436940Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7437139Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7437252Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7437257Z 
2022-11-23T01:30:20.7437322Z ok (1.414s)
2022-11-23T01:30:20.7437674Z   test_cpu_broadcast1_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7437989Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7438191Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7438441Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7438714Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7439033Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7439375Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7439697Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7440102Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7440194Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7440282Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7440343Z               4 BINARY_ADD
2022-11-23T01:30:20.7440429Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7440503Z               8 RETURN_VALUE
2022-11-23T01:30:20.7440563Z  
2022-11-23T01:30:20.7440567Z 
2022-11-23T01:30:20.7440873Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7441083Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7441355Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7441627Z [2022-11-23 01:29:11,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7441868Z [2022-11-23 01:29:11,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7442100Z [2022-11-23 01:29:11,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7442483Z [2022-11-23 01:29:11,608] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7442723Z [2022-11-23 01:29:11,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7442956Z [2022-11-23 01:29:11,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7443210Z [2022-11-23 01:29:11,609] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7443455Z [2022-11-23 01:29:11,612] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7443643Z [2022-11-23 01:29:11,613] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7443776Z  __compiled_fn_468 <eval_with_key>.3627 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7443864Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7443937Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7444113Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7444206Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7444213Z 
2022-11-23T01:30:20.7444535Z [2022-11-23 01:29:11,613] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7444631Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7444722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7444808Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7444888Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7444974Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7445061Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7445136Z              12 RETURN_VALUE
2022-11-23T01:30:20.7445141Z 
2022-11-23T01:30:20.7445201Z  
2022-11-23T01:30:20.7445521Z [2022-11-23 01:29:11,613] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7445627Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_468)
2022-11-23T01:30:20.7445714Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7445791Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7445867Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7445953Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7446039Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7446113Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7446226Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7446327Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7446414Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7446501Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7446575Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7446661Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7446735Z              26 RETURN_VALUE
2022-11-23T01:30:20.7446740Z 
2022-11-23T01:30:20.7446804Z  
2022-11-23T01:30:20.7446985Z [2022-11-23 01:29:11,614] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7447052Z  - 
2022-11-23T01:30:20.7447188Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7447250Z             {
2022-11-23T01:30:20.7447389Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7447574Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7447691Z                 'obj_weakref': None
2022-11-23T01:30:20.7447915Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7447980Z             }
2022-11-23T01:30:20.7448031Z             
2022-11-23T01:30:20.7448098Z  - 
2022-11-23T01:30:20.7448221Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7448284Z             {
2022-11-23T01:30:20.7448424Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7448528Z                 'code': None,
2022-11-23T01:30:20.7448726Z                 'obj_weakref': <weakref at 0x7ff5a81ba4d0; to 'Tensor' at 0x7ff5a8377920>
2022-11-23T01:30:20.7448977Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7449040Z             }
2022-11-23T01:30:20.7449102Z             
2022-11-23T01:30:20.7449168Z  - 
2022-11-23T01:30:20.7449288Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7449349Z             {
2022-11-23T01:30:20.7449479Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7449584Z                 'code': None,
2022-11-23T01:30:20.7449793Z                 'obj_weakref': <weakref at 0x7ff57f8e0ef0; to 'Tensor' at 0x7ff5a83c6b10>
2022-11-23T01:30:20.7450041Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7450103Z             }
2022-11-23T01:30:20.7450165Z             
2022-11-23T01:30:20.7450232Z  - 
2022-11-23T01:30:20.7450359Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7450409Z             {
2022-11-23T01:30:20.7450540Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7450715Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7450831Z                 'obj_weakref': None
2022-11-23T01:30:20.7451057Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7451118Z             }
2022-11-23T01:30:20.7451179Z             
2022-11-23T01:30:20.7451236Z  - 
2022-11-23T01:30:20.7451354Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7451416Z             {
2022-11-23T01:30:20.7451549Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7451765Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7451881Z                 'obj_weakref': None
2022-11-23T01:30:20.7452098Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7452148Z             }
2022-11-23T01:30:20.7452207Z             
2022-11-23T01:30:20.7452469Z [2022-11-23 01:29:11,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 460
2022-11-23T01:30:20.7452834Z [2022-11-23 01:29:13,039] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cy/ccyg3yg4txyknvcnalfw4saj2y6j7yzaqhaui7ql5y5ni27ti5jf.py
2022-11-23T01:30:20.7453136Z [2022-11-23 01:29:13,039] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 460
2022-11-23T01:30:20.7453143Z 
2022-11-23T01:30:20.7453235Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7453303Z import torch
2022-11-23T01:30:20.7453370Z import random
2022-11-23T01:30:20.7453470Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7453588Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7453593Z 
2022-11-23T01:30:20.7453668Z aten = torch.ops.aten
2022-11-23T01:30:20.7453799Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7453891Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7453924Z 
2022-11-23T01:30:20.7453928Z 
2022-11-23T01:30:20.7454060Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7454264Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7454383Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7454476Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7454574Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7454634Z {
2022-11-23T01:30:20.7454731Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7454793Z     {
2022-11-23T01:30:20.7454869Z         #pragma omp for 
2022-11-23T01:30:20.7454951Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7455001Z         {
2022-11-23T01:30:20.7455083Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.7455147Z             {
2022-11-23T01:30:20.7455279Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:30:20.7455421Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7455507Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7455608Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7455659Z             }
2022-11-23T01:30:20.7455749Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.7455832Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.7455894Z             {
2022-11-23T01:30:20.7455975Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7456069Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.7456151Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7456228Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7456288Z             }
2022-11-23T01:30:20.7456351Z         }
2022-11-23T01:30:20.7456550Z     }
2022-11-23T01:30:20.7456610Z }
2022-11-23T01:30:20.7456688Z ''')
2022-11-23T01:30:20.7456693Z 
2022-11-23T01:30:20.7456700Z 
2022-11-23T01:30:20.7456789Z async_compile.wait(globals())
2022-11-23T01:30:20.7456848Z del async_compile
2022-11-23T01:30:20.7456853Z 
2022-11-23T01:30:20.7456922Z def call(args):
2022-11-23T01:30:20.7456996Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7457067Z     args.clear()
2022-11-23T01:30:20.7457271Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7457433Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7457499Z     del arg0_1
2022-11-23T01:30:20.7457553Z     del arg1_1
2022-11-23T01:30:20.7457624Z     return (buf0, )
2022-11-23T01:30:20.7457629Z 
2022-11-23T01:30:20.7457633Z 
2022-11-23T01:30:20.7457708Z if __name__ == "__main__":
2022-11-23T01:30:20.7457820Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7457940Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7458136Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7458340Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7458452Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7458457Z 
2022-11-23T01:30:20.7458511Z ok (1.437s)
2022-11-23T01:30:20.7458907Z   test_cpu_broadcast2_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7459228Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7459443Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7459694Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7459970Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7460324Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7460671Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7460991Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7461371Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7461450Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7461539Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7461614Z               4 BINARY_ADD
2022-11-23T01:30:20.7461702Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7461776Z               8 RETURN_VALUE
2022-11-23T01:30:20.7461836Z  
2022-11-23T01:30:20.7461841Z 
2022-11-23T01:30:20.7462152Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7462360Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7462584Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7462854Z [2022-11-23 01:29:13,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7463094Z [2022-11-23 01:29:13,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7463337Z [2022-11-23 01:29:13,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7463719Z [2022-11-23 01:29:13,046] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7463963Z [2022-11-23 01:29:13,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7464197Z [2022-11-23 01:29:13,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7464455Z [2022-11-23 01:29:13,047] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7464702Z [2022-11-23 01:29:13,049] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7464887Z [2022-11-23 01:29:13,050] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7465008Z  __compiled_fn_469 <eval_with_key>.3633 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7465097Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7465182Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7465358Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7465451Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7465457Z 
2022-11-23T01:30:20.7465806Z [2022-11-23 01:29:13,050] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7465899Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7465989Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7466063Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7466155Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7466238Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7466326Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7466400Z              12 RETURN_VALUE
2022-11-23T01:30:20.7466434Z 
2022-11-23T01:30:20.7466494Z  
2022-11-23T01:30:20.7466812Z [2022-11-23 01:29:13,050] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7466907Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_469)
2022-11-23T01:30:20.7466997Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7467085Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7467161Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7467248Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7467331Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7467404Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7467479Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7467579Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7467677Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7467765Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7467840Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7467926Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7467999Z              26 RETURN_VALUE
2022-11-23T01:30:20.7468004Z 
2022-11-23T01:30:20.7468065Z  
2022-11-23T01:30:20.7468235Z [2022-11-23 01:29:13,051] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7468304Z  - 
2022-11-23T01:30:20.7468421Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7468487Z             {
2022-11-23T01:30:20.7468631Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7468819Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7468937Z                 'obj_weakref': None
2022-11-23T01:30:20.7469148Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7469212Z             }
2022-11-23T01:30:20.7469279Z             
2022-11-23T01:30:20.7469350Z  - 
2022-11-23T01:30:20.7469475Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7469540Z             {
2022-11-23T01:30:20.7469680Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7469774Z                 'code': None,
2022-11-23T01:30:20.7469989Z                 'obj_weakref': <weakref at 0x7ff57eea96c0; to 'Tensor' at 0x7ff59c13a2f0>
2022-11-23T01:30:20.7470242Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7470307Z             }
2022-11-23T01:30:20.7470372Z             
2022-11-23T01:30:20.7470442Z  - 
2022-11-23T01:30:20.7470567Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7470616Z             {
2022-11-23T01:30:20.7470759Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7470866Z                 'code': None,
2022-11-23T01:30:20.7471077Z                 'obj_weakref': <weakref at 0x7ff57eea93a0; to 'Tensor' at 0x7ff5a81b8400>
2022-11-23T01:30:20.7471333Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7471397Z             }
2022-11-23T01:30:20.7471461Z             
2022-11-23T01:30:20.7471517Z  - 
2022-11-23T01:30:20.7471649Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7471713Z             {
2022-11-23T01:30:20.7471875Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7472046Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7472165Z                 'obj_weakref': None
2022-11-23T01:30:20.7472396Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7472447Z             }
2022-11-23T01:30:20.7472510Z             
2022-11-23T01:30:20.7472578Z  - 
2022-11-23T01:30:20.7472699Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7472764Z             {
2022-11-23T01:30:20.7472901Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7473145Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7473251Z                 'obj_weakref': None
2022-11-23T01:30:20.7473471Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7473535Z             }
2022-11-23T01:30:20.7473601Z             
2022-11-23T01:30:20.7473935Z [2022-11-23 01:29:13,055] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 461
2022-11-23T01:30:20.7474294Z [2022-11-23 01:29:14,448] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b5/cb5534hql5waf4a5kzxld65igq424z7y3yssasqhfw2celzn4yho.py
2022-11-23T01:30:20.7474558Z [2022-11-23 01:29:14,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 461
2022-11-23T01:30:20.7474563Z 
2022-11-23T01:30:20.7474658Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7474715Z import torch
2022-11-23T01:30:20.7474788Z import random
2022-11-23T01:30:20.7474901Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7475020Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7475025Z 
2022-11-23T01:30:20.7475102Z aten = torch.ops.aten
2022-11-23T01:30:20.7475236Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7475328Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7475333Z 
2022-11-23T01:30:20.7475337Z 
2022-11-23T01:30:20.7475467Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7475658Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7475779Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7475883Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7475983Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7476045Z {
2022-11-23T01:30:20.7476140Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7476205Z     {
2022-11-23T01:30:20.7476267Z         #pragma omp for 
2022-11-23T01:30:20.7476349Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7476411Z         {
2022-11-23T01:30:20.7476492Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.7476557Z             {
2022-11-23T01:30:20.7476688Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:30:20.7476822Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:30:20.7476897Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7476998Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7477059Z             }
2022-11-23T01:30:20.7477148Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.7477229Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.7477290Z             {
2022-11-23T01:30:20.7477371Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7477445Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.7477528Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7477619Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7477680Z             }
2022-11-23T01:30:20.7477742Z         }
2022-11-23T01:30:20.7477802Z     }
2022-11-23T01:30:20.7477862Z }
2022-11-23T01:30:20.7477926Z ''')
2022-11-23T01:30:20.7477967Z 
2022-11-23T01:30:20.7477972Z 
2022-11-23T01:30:20.7478058Z async_compile.wait(globals())
2022-11-23T01:30:20.7478129Z del async_compile
2022-11-23T01:30:20.7478133Z 
2022-11-23T01:30:20.7478203Z def call(args):
2022-11-23T01:30:20.7478275Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7478345Z     args.clear()
2022-11-23T01:30:20.7478554Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7478703Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7478769Z     del arg0_1
2022-11-23T01:30:20.7478863Z     del arg1_1
2022-11-23T01:30:20.7478932Z     return (buf0, )
2022-11-23T01:30:20.7478937Z 
2022-11-23T01:30:20.7478941Z 
2022-11-23T01:30:20.7479014Z if __name__ == "__main__":
2022-11-23T01:30:20.7479125Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7479245Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7479455Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7479635Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7479747Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7479753Z 
2022-11-23T01:30:20.7479818Z ok (1.409s)
2022-11-23T01:30:20.7480169Z   test_cpu_broadcast2_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:14,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7480483Z [2022-11-23 01:29:14,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7480701Z [2022-11-23 01:29:14,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7480949Z [2022-11-23 01:29:14,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7481227Z [2022-11-23 01:29:14,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7481544Z [2022-11-23 01:29:14,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7481888Z [2022-11-23 01:29:14,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7482197Z [2022-11-23 01:29:14,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7482577Z [2022-11-23 01:29:14,454] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7482665Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7482756Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7482829Z               4 BINARY_ADD
2022-11-23T01:30:20.7482915Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7482990Z               8 RETURN_VALUE
2022-11-23T01:30:20.7483048Z  
2022-11-23T01:30:20.7483053Z 
2022-11-23T01:30:20.7483354Z [2022-11-23 01:29:14,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7483563Z [2022-11-23 01:29:14,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7483798Z [2022-11-23 01:29:14,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7484069Z [2022-11-23 01:29:14,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7484307Z [2022-11-23 01:29:14,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7484582Z [2022-11-23 01:29:14,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7484966Z [2022-11-23 01:29:14,455] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7485208Z [2022-11-23 01:29:14,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7485441Z [2022-11-23 01:29:14,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7485681Z [2022-11-23 01:29:14,456] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7485954Z [2022-11-23 01:29:14,459] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7486139Z [2022-11-23 01:29:14,459] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7486272Z  __compiled_fn_470 <eval_with_key>.3639 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7486360Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7486444Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7486618Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7486716Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7486721Z 
2022-11-23T01:30:20.7487042Z [2022-11-23 01:29:14,459] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7487123Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7487215Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7487300Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7487390Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7487473Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7487559Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7487639Z              12 RETURN_VALUE
2022-11-23T01:30:20.7487645Z 
2022-11-23T01:30:20.7487693Z  
2022-11-23T01:30:20.7488012Z [2022-11-23 01:29:14,459] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7488118Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_470)
2022-11-23T01:30:20.7488208Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7488294Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7488369Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7488456Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7488544Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7488607Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7488692Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7488793Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7488894Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7488981Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7489056Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7489140Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7489202Z              26 RETURN_VALUE
2022-11-23T01:30:20.7489207Z 
2022-11-23T01:30:20.7489267Z  
2022-11-23T01:30:20.7489447Z [2022-11-23 01:29:14,460] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7489514Z  - 
2022-11-23T01:30:20.7489631Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7489693Z             {
2022-11-23T01:30:20.7489833Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7490005Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7490122Z                 'obj_weakref': None
2022-11-23T01:30:20.7490345Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7490436Z             }
2022-11-23T01:30:20.7490499Z             
2022-11-23T01:30:20.7490566Z  - 
2022-11-23T01:30:20.7490688Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7490738Z             {
2022-11-23T01:30:20.7490878Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7490984Z                 'code': None,
2022-11-23T01:30:20.7491195Z                 'obj_weakref': <weakref at 0x7ff58f9a9a30; to 'Tensor' at 0x7ff57efe6700>
2022-11-23T01:30:20.7491445Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7491507Z             }
2022-11-23T01:30:20.7491626Z             
2022-11-23T01:30:20.7491682Z  - 
2022-11-23T01:30:20.7491802Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7491865Z             {
2022-11-23T01:30:20.7492006Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7492110Z                 'code': None,
2022-11-23T01:30:20.7492323Z                 'obj_weakref': <weakref at 0x7ff5a81b8d60; to 'Tensor' at 0x7ff59c02ab60>
2022-11-23T01:30:20.7492571Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7492622Z             }
2022-11-23T01:30:20.7492682Z             
2022-11-23T01:30:20.7492750Z  - 
2022-11-23T01:30:20.7492878Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7492940Z             {
2022-11-23T01:30:20.7493070Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7493238Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7493342Z                 'obj_weakref': None
2022-11-23T01:30:20.7493574Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7493637Z             }
2022-11-23T01:30:20.7493701Z             
2022-11-23T01:30:20.7493768Z  - 
2022-11-23T01:30:20.7493889Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7493950Z             {
2022-11-23T01:30:20.7494075Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7494290Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7494405Z                 'obj_weakref': None
2022-11-23T01:30:20.7494624Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7494689Z             }
2022-11-23T01:30:20.7494750Z             
2022-11-23T01:30:20.7495010Z [2022-11-23 01:29:14,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 462
2022-11-23T01:30:20.7495367Z [2022-11-23 01:29:14,472] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dt/cdtmthlvsq2osmfldj4foy4t7ov4yktz2byfhqgaw65m2tquounz.py
2022-11-23T01:30:20.7495628Z [2022-11-23 01:29:14,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 462
2022-11-23T01:30:20.7495634Z 
2022-11-23T01:30:20.7495726Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7495795Z import torch
2022-11-23T01:30:20.7495864Z import random
2022-11-23T01:30:20.7495977Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7496095Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7496100Z 
2022-11-23T01:30:20.7496177Z aten = torch.ops.aten
2022-11-23T01:30:20.7496299Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7496388Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7496393Z 
2022-11-23T01:30:20.7496398Z 
2022-11-23T01:30:20.7496654Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7496862Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7496980Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7497084Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7497185Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7497304Z {
2022-11-23T01:30:20.7497391Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7497451Z     {
2022-11-23T01:30:20.7497528Z         #pragma omp for 
2022-11-23T01:30:20.7497609Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.7497673Z         {
2022-11-23T01:30:20.7497806Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7497936Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.7498009Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7498103Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7498203Z         }
2022-11-23T01:30:20.7498295Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7498374Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.7498432Z         {
2022-11-23T01:30:20.7498511Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7498579Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7498659Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7498738Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7498797Z         }
2022-11-23T01:30:20.7498856Z     }
2022-11-23T01:30:20.7498913Z }
2022-11-23T01:30:20.7498989Z ''')
2022-11-23T01:30:20.7498994Z 
2022-11-23T01:30:20.7498998Z 
2022-11-23T01:30:20.7499074Z async_compile.wait(globals())
2022-11-23T01:30:20.7499143Z del async_compile
2022-11-23T01:30:20.7499148Z 
2022-11-23T01:30:20.7499216Z def call(args):
2022-11-23T01:30:20.7499291Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7499363Z     args.clear()
2022-11-23T01:30:20.7499571Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7499732Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7499799Z     del arg0_1
2022-11-23T01:30:20.7499853Z     del arg1_1
2022-11-23T01:30:20.7499925Z     return (buf0, )
2022-11-23T01:30:20.7499930Z 
2022-11-23T01:30:20.7499934Z 
2022-11-23T01:30:20.7500011Z if __name__ == "__main__":
2022-11-23T01:30:20.7500123Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7500243Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7500447Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7500646Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7500748Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7500763Z 
2022-11-23T01:30:20.7500816Z ok (0.023s)
2022-11-23T01:30:20.7501163Z   test_cpu_broadcast2_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:14,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7501479Z [2022-11-23 01:29:14,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7501700Z [2022-11-23 01:29:14,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7501950Z [2022-11-23 01:29:14,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7502224Z [2022-11-23 01:29:14,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7502540Z [2022-11-23 01:29:14,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7502883Z [2022-11-23 01:29:14,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7503203Z [2022-11-23 01:29:14,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7503609Z [2022-11-23 01:29:14,477] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7503690Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7503777Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7503848Z               4 BINARY_ADD
2022-11-23T01:30:20.7503937Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7504011Z               8 RETURN_VALUE
2022-11-23T01:30:20.7504071Z  
2022-11-23T01:30:20.7504076Z 
2022-11-23T01:30:20.7504386Z [2022-11-23 01:29:14,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7504608Z [2022-11-23 01:29:14,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7504843Z [2022-11-23 01:29:14,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7505113Z [2022-11-23 01:29:14,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7505350Z [2022-11-23 01:29:14,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7505591Z [2022-11-23 01:29:14,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7505972Z [2022-11-23 01:29:14,478] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7506215Z [2022-11-23 01:29:14,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7506448Z [2022-11-23 01:29:14,478] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7506699Z [2022-11-23 01:29:14,479] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7506946Z [2022-11-23 01:29:14,481] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7507122Z [2022-11-23 01:29:14,481] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7507253Z  __compiled_fn_471 <eval_with_key>.3645 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7507339Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7507424Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7507601Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7507694Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7507699Z 
2022-11-23T01:30:20.7508027Z [2022-11-23 01:29:14,482] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7508119Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7508196Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7508285Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7508379Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7508466Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7508556Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7508635Z              12 RETURN_VALUE
2022-11-23T01:30:20.7508640Z 
2022-11-23T01:30:20.7508701Z  
2022-11-23T01:30:20.7509007Z [2022-11-23 01:29:14,482] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7509115Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_471)
2022-11-23T01:30:20.7509208Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7509299Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7509378Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7509467Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7509554Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7509658Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7509734Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7509837Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7509939Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7510028Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7510105Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7510192Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7510268Z              26 RETURN_VALUE
2022-11-23T01:30:20.7510273Z 
2022-11-23T01:30:20.7510320Z  
2022-11-23T01:30:20.7510503Z [2022-11-23 01:29:14,482] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7510603Z  - 
2022-11-23T01:30:20.7510725Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7510790Z             {
2022-11-23T01:30:20.7510929Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7511117Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7511221Z                 'obj_weakref': None
2022-11-23T01:30:20.7511447Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7511513Z             }
2022-11-23T01:30:20.7511577Z             
2022-11-23T01:30:20.7511648Z  - 
2022-11-23T01:30:20.7511773Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7511836Z             {
2022-11-23T01:30:20.7511965Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7512075Z                 'code': None,
2022-11-23T01:30:20.7512289Z                 'obj_weakref': <weakref at 0x7ff58ff17920; to 'Tensor' at 0x7ff58f9a84a0>
2022-11-23T01:30:20.7512546Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7512609Z             }
2022-11-23T01:30:20.7512673Z             
2022-11-23T01:30:20.7512740Z  - 
2022-11-23T01:30:20.7512849Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7512914Z             {
2022-11-23T01:30:20.7513056Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7513165Z                 'code': None,
2022-11-23T01:30:20.7513376Z                 'obj_weakref': <weakref at 0x7ff58ff15ee0; to 'Tensor' at 0x7ff58f9aab10>
2022-11-23T01:30:20.7513624Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7513689Z             }
2022-11-23T01:30:20.7513739Z             
2022-11-23T01:30:20.7513881Z  - 
2022-11-23T01:30:20.7514016Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7514082Z             {
2022-11-23T01:30:20.7514216Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7514384Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7514501Z                 'obj_weakref': None
2022-11-23T01:30:20.7514719Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7514780Z             }
2022-11-23T01:30:20.7514842Z             
2022-11-23T01:30:20.7514908Z  - 
2022-11-23T01:30:20.7515027Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7515090Z             {
2022-11-23T01:30:20.7515221Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7515423Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7515542Z                 'obj_weakref': None
2022-11-23T01:30:20.7515760Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7515824Z             }
2022-11-23T01:30:20.7515888Z             
2022-11-23T01:30:20.7516148Z [2022-11-23 01:29:14,486] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 463
2022-11-23T01:30:20.7516547Z [2022-11-23 01:29:14,494] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7c/c7cinjt37jvszcx5pqqngnc2uiujzb6jizl4njg3uebflpm64mrj.py
2022-11-23T01:30:20.7516810Z [2022-11-23 01:29:14,494] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 463
2022-11-23T01:30:20.7516816Z 
2022-11-23T01:30:20.7516895Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7516963Z import torch
2022-11-23T01:30:20.7517028Z import random
2022-11-23T01:30:20.7517141Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7517259Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7517264Z 
2022-11-23T01:30:20.7517340Z aten = torch.ops.aten
2022-11-23T01:30:20.7517471Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7517594Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7517599Z 
2022-11-23T01:30:20.7517603Z 
2022-11-23T01:30:20.7517723Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7517928Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7518047Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7518152Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7518251Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7518315Z {
2022-11-23T01:30:20.7518409Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7518458Z     {
2022-11-23T01:30:20.7518533Z         #pragma omp for 
2022-11-23T01:30:20.7518613Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.7518675Z         {
2022-11-23T01:30:20.7518811Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7518931Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:30:20.7519013Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7519092Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7519152Z         }
2022-11-23T01:30:20.7519244Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7519325Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.7519388Z         {
2022-11-23T01:30:20.7519469Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7519547Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:30:20.7519616Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7519693Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7519752Z         }
2022-11-23T01:30:20.7519810Z     }
2022-11-23T01:30:20.7519869Z }
2022-11-23T01:30:20.7519945Z ''')
2022-11-23T01:30:20.7519950Z 
2022-11-23T01:30:20.7519954Z 
2022-11-23T01:30:20.7520040Z async_compile.wait(globals())
2022-11-23T01:30:20.7520099Z del async_compile
2022-11-23T01:30:20.7520115Z 
2022-11-23T01:30:20.7520175Z def call(args):
2022-11-23T01:30:20.7520249Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7520318Z     args.clear()
2022-11-23T01:30:20.7520525Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7520685Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7520754Z     del arg0_1
2022-11-23T01:30:20.7520817Z     del arg1_1
2022-11-23T01:30:20.7520875Z     return (buf0, )
2022-11-23T01:30:20.7520880Z 
2022-11-23T01:30:20.7520884Z 
2022-11-23T01:30:20.7520958Z if __name__ == "__main__":
2022-11-23T01:30:20.7521070Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7521190Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7521395Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7521583Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7521697Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7521702Z 
2022-11-23T01:30:20.7521767Z ok (0.022s)
2022-11-23T01:30:20.7522095Z   test_cpu_broadcast2_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7522433Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7522650Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7522900Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7523176Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7523494Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7523873Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7524195Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7524572Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7524662Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7524739Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7524811Z               4 BINARY_ADD
2022-11-23T01:30:20.7524898Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7524972Z               8 RETURN_VALUE
2022-11-23T01:30:20.7525033Z  
2022-11-23T01:30:20.7525038Z 
2022-11-23T01:30:20.7525348Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7525553Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7525793Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7526052Z [2022-11-23 01:29:14,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7526291Z [2022-11-23 01:29:14,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7526537Z [2022-11-23 01:29:14,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7526922Z [2022-11-23 01:29:14,500] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7527165Z [2022-11-23 01:29:14,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7527397Z [2022-11-23 01:29:14,500] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7527648Z [2022-11-23 01:29:14,501] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7527895Z [2022-11-23 01:29:14,503] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7528080Z [2022-11-23 01:29:14,503] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7528200Z  __compiled_fn_472 <eval_with_key>.3651 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7528287Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7528370Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7528548Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7528642Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7528647Z 
2022-11-23T01:30:20.7528967Z [2022-11-23 01:29:14,503] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7529085Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7529176Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7529250Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7529341Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7529426Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7529510Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7529585Z              12 RETURN_VALUE
2022-11-23T01:30:20.7529590Z 
2022-11-23T01:30:20.7529650Z  
2022-11-23T01:30:20.7529969Z [2022-11-23 01:29:14,503] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7530103Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_472)
2022-11-23T01:30:20.7530180Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7530268Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7530346Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7530435Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7530520Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7530594Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7530679Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7530770Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7530868Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7530955Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7531030Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7531117Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7531189Z              26 RETURN_VALUE
2022-11-23T01:30:20.7531194Z 
2022-11-23T01:30:20.7531254Z  
2022-11-23T01:30:20.7531423Z [2022-11-23 01:29:14,504] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7531489Z  - 
2022-11-23T01:30:20.7531608Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7531673Z             {
2022-11-23T01:30:20.7531811Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7531993Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7532113Z                 'obj_weakref': None
2022-11-23T01:30:20.7532324Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7532391Z             }
2022-11-23T01:30:20.7532453Z             
2022-11-23T01:30:20.7532520Z  - 
2022-11-23T01:30:20.7532641Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7532702Z             {
2022-11-23T01:30:20.7532845Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7532937Z                 'code': None,
2022-11-23T01:30:20.7533148Z                 'obj_weakref': <weakref at 0x7ff57efcbab0; to 'Tensor' at 0x7ff57ff16570>
2022-11-23T01:30:20.7533401Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7533463Z             }
2022-11-23T01:30:20.7533525Z             
2022-11-23T01:30:20.7533591Z  - 
2022-11-23T01:30:20.7533711Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7533762Z             {
2022-11-23T01:30:20.7533902Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7534007Z                 'code': None,
2022-11-23T01:30:20.7534217Z                 'obj_weakref': <weakref at 0x7ff57efc80e0; to 'Tensor' at 0x7ff57ff157b0>
2022-11-23T01:30:20.7534466Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7534530Z             }
2022-11-23T01:30:20.7534592Z             
2022-11-23T01:30:20.7534647Z  - 
2022-11-23T01:30:20.7534775Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7534836Z             {
2022-11-23T01:30:20.7534968Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7535165Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7535283Z                 'obj_weakref': None
2022-11-23T01:30:20.7535511Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7535561Z             }
2022-11-23T01:30:20.7535622Z             
2022-11-23T01:30:20.7535688Z  - 
2022-11-23T01:30:20.7535807Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7535868Z             {
2022-11-23T01:30:20.7536001Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7536218Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7536352Z                 'obj_weakref': None
2022-11-23T01:30:20.7536686Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7536752Z             }
2022-11-23T01:30:20.7536814Z             
2022-11-23T01:30:20.7537080Z [2022-11-23 01:29:14,508] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 464
2022-11-23T01:30:20.7537448Z [2022-11-23 01:29:14,517] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3m/c3mlge7iiggzrvrkao5vqml6ue4zv3zckdgdwjm2sjlnmbruvytg.py
2022-11-23T01:30:20.7537712Z [2022-11-23 01:29:14,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 464
2022-11-23T01:30:20.7537717Z 
2022-11-23T01:30:20.7537810Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7537866Z import torch
2022-11-23T01:30:20.7537936Z import random
2022-11-23T01:30:20.7538050Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7538173Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7538179Z 
2022-11-23T01:30:20.7538256Z aten = torch.ops.aten
2022-11-23T01:30:20.7538387Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7538477Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7538482Z 
2022-11-23T01:30:20.7538486Z 
2022-11-23T01:30:20.7538618Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7538810Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7538931Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7539032Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7539132Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7539192Z {
2022-11-23T01:30:20.7539288Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7539348Z     {
2022-11-23T01:30:20.7539413Z         #pragma omp for 
2022-11-23T01:30:20.7539494Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7539554Z         {
2022-11-23T01:30:20.7539634Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.7539698Z             {
2022-11-23T01:30:20.7539824Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:30:20.7539964Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7540051Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7540140Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7540201Z             }
2022-11-23T01:30:20.7540290Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.7540371Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.7540431Z             {
2022-11-23T01:30:20.7540511Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7540594Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.7540677Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7540769Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7540831Z             }
2022-11-23T01:30:20.7540893Z         }
2022-11-23T01:30:20.7540953Z     }
2022-11-23T01:30:20.7541011Z }
2022-11-23T01:30:20.7541075Z ''')
2022-11-23T01:30:20.7541080Z 
2022-11-23T01:30:20.7541094Z 
2022-11-23T01:30:20.7541170Z async_compile.wait(globals())
2022-11-23T01:30:20.7541299Z del async_compile
2022-11-23T01:30:20.7541305Z 
2022-11-23T01:30:20.7541373Z def call(args):
2022-11-23T01:30:20.7541447Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7541519Z     args.clear()
2022-11-23T01:30:20.7541727Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7541890Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7541945Z     del arg0_1
2022-11-23T01:30:20.7542013Z     del arg1_1
2022-11-23T01:30:20.7542085Z     return (buf0, )
2022-11-23T01:30:20.7542090Z 
2022-11-23T01:30:20.7542128Z 
2022-11-23T01:30:20.7542203Z if __name__ == "__main__":
2022-11-23T01:30:20.7542315Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7542440Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7542645Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7542843Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7542945Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7542950Z 
2022-11-23T01:30:20.7543014Z ok (0.024s)
2022-11-23T01:30:20.7543358Z   test_cpu_broadcast2_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7543674Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7543891Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7544144Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7544420Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7544740Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7545083Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7545387Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7545766Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7545859Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7545950Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7546024Z               4 BINARY_ADD
2022-11-23T01:30:20.7546115Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7546192Z               8 RETURN_VALUE
2022-11-23T01:30:20.7546255Z  
2022-11-23T01:30:20.7546259Z 
2022-11-23T01:30:20.7546570Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7546766Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7547005Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7547278Z [2022-11-23 01:29:14,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7547522Z [2022-11-23 01:29:14,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7547763Z [2022-11-23 01:29:14,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7548173Z [2022-11-23 01:29:14,524] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7548422Z [2022-11-23 01:29:14,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7548657Z [2022-11-23 01:29:14,524] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7548911Z [2022-11-23 01:29:14,525] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7549175Z [2022-11-23 01:29:14,527] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7549364Z [2022-11-23 01:29:14,527] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7549497Z  __compiled_fn_473 <eval_with_key>.3657 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7549588Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7549675Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7549852Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7549948Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7549954Z 
2022-11-23T01:30:20.7550282Z [2022-11-23 01:29:14,528] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7550364Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7550455Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7550541Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7550636Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7550723Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7550813Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7550888Z              12 RETURN_VALUE
2022-11-23T01:30:20.7550893Z 
2022-11-23T01:30:20.7550954Z  
2022-11-23T01:30:20.7551265Z [2022-11-23 01:29:14,528] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7551374Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_473)
2022-11-23T01:30:20.7551463Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7551552Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7551633Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7551721Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7551808Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7551873Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7551962Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7552065Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7552167Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7552261Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7552337Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7552424Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7552488Z              26 RETURN_VALUE
2022-11-23T01:30:20.7552506Z 
2022-11-23T01:30:20.7552554Z  
2022-11-23T01:30:20.7552735Z [2022-11-23 01:29:14,528] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7552806Z  - 
2022-11-23T01:30:20.7552924Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7552988Z             {
2022-11-23T01:30:20.7553123Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7553296Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7553418Z                 'obj_weakref': None
2022-11-23T01:30:20.7553642Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7553707Z             }
2022-11-23T01:30:20.7553769Z             
2022-11-23T01:30:20.7553910Z  - 
2022-11-23T01:30:20.7554068Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7554120Z             {
2022-11-23T01:30:20.7554264Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7554373Z                 'code': None,
2022-11-23T01:30:20.7554586Z                 'obj_weakref': <weakref at 0x7ff57ee83ce0; to 'Tensor' at 0x7ff5a831f6f0>
2022-11-23T01:30:20.7554837Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7554900Z             }
2022-11-23T01:30:20.7554962Z             
2022-11-23T01:30:20.7555019Z  - 
2022-11-23T01:30:20.7555145Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7555238Z             {
2022-11-23T01:30:20.7555380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7555486Z                 'code': None,
2022-11-23T01:30:20.7555694Z                 'obj_weakref': <weakref at 0x7ff57ee82ac0; to 'Tensor' at 0x7ff58f9abba0>
2022-11-23T01:30:20.7555947Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7556008Z             }
2022-11-23T01:30:20.7556058Z             
2022-11-23T01:30:20.7556126Z  - 
2022-11-23T01:30:20.7556253Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7556315Z             {
2022-11-23T01:30:20.7556447Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7556613Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7556718Z                 'obj_weakref': None
2022-11-23T01:30:20.7556946Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7557010Z             }
2022-11-23T01:30:20.7557071Z             
2022-11-23T01:30:20.7557138Z  - 
2022-11-23T01:30:20.7557257Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7557317Z             {
2022-11-23T01:30:20.7557438Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7557655Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7557772Z                 'obj_weakref': None
2022-11-23T01:30:20.7557987Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7558050Z             }
2022-11-23T01:30:20.7558111Z             
2022-11-23T01:30:20.7558368Z [2022-11-23 01:29:14,533] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 465
2022-11-23T01:30:20.7558734Z [2022-11-23 01:29:15,914] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xr/cxrblxgdip3qjqmts2djdq53rv7a7hkhcmq3l425t3et4ftzyjnt.py
2022-11-23T01:30:20.7558984Z [2022-11-23 01:29:15,914] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 465
2022-11-23T01:30:20.7559000Z 
2022-11-23T01:30:20.7559081Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7559148Z import torch
2022-11-23T01:30:20.7559217Z import random
2022-11-23T01:30:20.7559331Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7559450Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7559455Z 
2022-11-23T01:30:20.7559529Z aten = torch.ops.aten
2022-11-23T01:30:20.7559659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7559738Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7559743Z 
2022-11-23T01:30:20.7559758Z 
2022-11-23T01:30:20.7559879Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7560083Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7560204Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7560309Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:30:20.7560407Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.7560466Z {
2022-11-23T01:30:20.7560564Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7560640Z     {
2022-11-23T01:30:20.7560719Z         #pragma omp for 
2022-11-23T01:30:20.7560799Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7560863Z         {
2022-11-23T01:30:20.7560939Z             #pragma GCC ivdep
2022-11-23T01:30:20.7561023Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7561074Z             {
2022-11-23T01:30:20.7561137Z                 {
2022-11-23T01:30:20.7561201Z                     {
2022-11-23T01:30:20.7561295Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7561396Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.7561504Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.7561624Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.7561706Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.7561771Z                     }
2022-11-23T01:30:20.7561834Z                 }
2022-11-23T01:30:20.7561897Z             }
2022-11-23T01:30:20.7561959Z         }
2022-11-23T01:30:20.7562018Z     }
2022-11-23T01:30:20.7562076Z }
2022-11-23T01:30:20.7562142Z ''')
2022-11-23T01:30:20.7562147Z 
2022-11-23T01:30:20.7562151Z 
2022-11-23T01:30:20.7562238Z async_compile.wait(globals())
2022-11-23T01:30:20.7562307Z del async_compile
2022-11-23T01:30:20.7562312Z 
2022-11-23T01:30:20.7562381Z def call(args):
2022-11-23T01:30:20.7562454Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7562523Z     args.clear()
2022-11-23T01:30:20.7562730Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7562890Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7562948Z     del arg0_1
2022-11-23T01:30:20.7563013Z     del arg1_1
2022-11-23T01:30:20.7563082Z     return (buf0, )
2022-11-23T01:30:20.7563086Z 
2022-11-23T01:30:20.7563090Z 
2022-11-23T01:30:20.7563164Z if __name__ == "__main__":
2022-11-23T01:30:20.7563276Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7563395Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7563600Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7563786Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7563900Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7563905Z 
2022-11-23T01:30:20.7563968Z ok (1.396s)
2022-11-23T01:30:20.7564302Z   test_cpu_broadcast2_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:15,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7564615Z [2022-11-23 01:29:15,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7564832Z [2022-11-23 01:29:15,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7565084Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7565360Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7565679Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7566019Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7566332Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7566711Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7566829Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7566920Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7566992Z               4 BINARY_ADD
2022-11-23T01:30:20.7567084Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7567157Z               8 RETURN_VALUE
2022-11-23T01:30:20.7567218Z  
2022-11-23T01:30:20.7567223Z 
2022-11-23T01:30:20.7567523Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7567728Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7567991Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7568263Z [2022-11-23 01:29:15,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7568506Z [2022-11-23 01:29:15,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7568749Z [2022-11-23 01:29:15,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7569132Z [2022-11-23 01:29:15,920] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7569375Z [2022-11-23 01:29:15,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7569607Z [2022-11-23 01:29:15,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7569860Z [2022-11-23 01:29:15,922] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7570095Z [2022-11-23 01:29:15,924] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7570280Z [2022-11-23 01:29:15,924] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7570415Z  __compiled_fn_474 <eval_with_key>.3663 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7570499Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7570588Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7570762Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7570855Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7570860Z 
2022-11-23T01:30:20.7571179Z [2022-11-23 01:29:15,925] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7571262Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7571350Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7571434Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7571525Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7571612Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7571698Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7571772Z              12 RETURN_VALUE
2022-11-23T01:30:20.7571777Z 
2022-11-23T01:30:20.7571825Z  
2022-11-23T01:30:20.7572142Z [2022-11-23 01:29:15,925] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7572247Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_474)
2022-11-23T01:30:20.7572335Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7572422Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7572499Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7572586Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7572670Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7572732Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7572817Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7572949Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7573051Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7573139Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7573213Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7573298Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7573361Z              26 RETURN_VALUE
2022-11-23T01:30:20.7573365Z 
2022-11-23T01:30:20.7573424Z  
2022-11-23T01:30:20.7573604Z [2022-11-23 01:29:15,926] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7573671Z  - 
2022-11-23T01:30:20.7573819Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7573883Z             {
2022-11-23T01:30:20.7574023Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7574195Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7574311Z                 'obj_weakref': None
2022-11-23T01:30:20.7574535Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7574599Z             }
2022-11-23T01:30:20.7574661Z             
2022-11-23T01:30:20.7574729Z  - 
2022-11-23T01:30:20.7574853Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7574903Z             {
2022-11-23T01:30:20.7575044Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7575149Z                 'code': None,
2022-11-23T01:30:20.7575358Z                 'obj_weakref': <weakref at 0x7ff57efcb830; to 'Tensor' at 0x7ff57ee82ed0>
2022-11-23T01:30:20.7575609Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7575676Z             }
2022-11-23T01:30:20.7575737Z             
2022-11-23T01:30:20.7575792Z  - 
2022-11-23T01:30:20.7575915Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7575978Z             {
2022-11-23T01:30:20.7576120Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7576227Z                 'code': None,
2022-11-23T01:30:20.7576558Z                 'obj_weakref': <weakref at 0x7ff57efe6700; to 'Tensor' at 0x7ff57ee83a60>
2022-11-23T01:30:20.7576810Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7576861Z             }
2022-11-23T01:30:20.7576923Z             
2022-11-23T01:30:20.7576991Z  - 
2022-11-23T01:30:20.7577119Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7577183Z             {
2022-11-23T01:30:20.7577315Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7577490Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7577596Z                 'obj_weakref': None
2022-11-23T01:30:20.7577824Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7577887Z             }
2022-11-23T01:30:20.7577949Z             
2022-11-23T01:30:20.7578020Z  - 
2022-11-23T01:30:20.7578143Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7578205Z             {
2022-11-23T01:30:20.7578329Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7578545Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7578661Z                 'obj_weakref': None
2022-11-23T01:30:20.7578882Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7578946Z             }
2022-11-23T01:30:20.7579007Z             
2022-11-23T01:30:20.7579263Z [2022-11-23 01:29:15,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 466
2022-11-23T01:30:20.7579633Z [2022-11-23 01:29:17,329] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5y/c5yw2bpyrp7tw6pjvthjk5anfk2ppnoctc6ezfnrlokdzwjnimfi.py
2022-11-23T01:30:20.7579929Z [2022-11-23 01:29:17,329] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 466
2022-11-23T01:30:20.7579949Z 
2022-11-23T01:30:20.7580029Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7580097Z import torch
2022-11-23T01:30:20.7580166Z import random
2022-11-23T01:30:20.7580278Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7580396Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7580401Z 
2022-11-23T01:30:20.7580478Z aten = torch.ops.aten
2022-11-23T01:30:20.7580612Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7580691Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7580727Z 
2022-11-23T01:30:20.7580732Z 
2022-11-23T01:30:20.7580870Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7581075Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7581192Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7581298Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:20.7581399Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7581459Z {
2022-11-23T01:30:20.7581544Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7581605Z     {
2022-11-23T01:30:20.7581678Z         #pragma omp for 
2022-11-23T01:30:20.7581761Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7581822Z         {
2022-11-23T01:30:20.7581901Z             #pragma GCC ivdep
2022-11-23T01:30:20.7581984Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7582035Z             {
2022-11-23T01:30:20.7582097Z                 {
2022-11-23T01:30:20.7582164Z                     {
2022-11-23T01:30:20.7582255Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7582346Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.7582453Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:20.7582540Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.7582626Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.7582692Z                     }
2022-11-23T01:30:20.7582755Z                 }
2022-11-23T01:30:20.7582817Z             }
2022-11-23T01:30:20.7582877Z         }
2022-11-23T01:30:20.7582934Z     }
2022-11-23T01:30:20.7582991Z }
2022-11-23T01:30:20.7583057Z ''')
2022-11-23T01:30:20.7583062Z 
2022-11-23T01:30:20.7583066Z 
2022-11-23T01:30:20.7583154Z async_compile.wait(globals())
2022-11-23T01:30:20.7583224Z del async_compile
2022-11-23T01:30:20.7583229Z 
2022-11-23T01:30:20.7583297Z def call(args):
2022-11-23T01:30:20.7583372Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7583444Z     args.clear()
2022-11-23T01:30:20.7583653Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7583803Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7583873Z     del arg0_1
2022-11-23T01:30:20.7583940Z     del arg1_1
2022-11-23T01:30:20.7584014Z     return (buf0, )
2022-11-23T01:30:20.7584019Z 
2022-11-23T01:30:20.7584023Z 
2022-11-23T01:30:20.7584101Z if __name__ == "__main__":
2022-11-23T01:30:20.7584214Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7584335Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7584542Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7584720Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.7584835Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7584842Z 
2022-11-23T01:30:20.7584909Z ok (1.415s)
2022-11-23T01:30:20.7585258Z   test_cpu_broadcast2_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:17,334] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7585620Z [2022-11-23 01:29:17,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7585841Z [2022-11-23 01:29:17,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7586094Z [2022-11-23 01:29:17,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7586370Z [2022-11-23 01:29:17,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7586688Z [2022-11-23 01:29:17,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7587063Z [2022-11-23 01:29:17,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7587372Z [2022-11-23 01:29:17,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7587757Z [2022-11-23 01:29:17,335] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7587849Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7587939Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7588013Z               4 BINARY_ADD
2022-11-23T01:30:20.7588102Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7588179Z               8 RETURN_VALUE
2022-11-23T01:30:20.7588240Z  
2022-11-23T01:30:20.7588245Z 
2022-11-23T01:30:20.7588543Z [2022-11-23 01:29:17,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7588754Z [2022-11-23 01:29:17,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7588994Z [2022-11-23 01:29:17,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7589270Z [2022-11-23 01:29:17,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7589512Z [2022-11-23 01:29:17,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7589759Z [2022-11-23 01:29:17,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7590146Z [2022-11-23 01:29:17,336] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7590393Z [2022-11-23 01:29:17,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7590626Z [2022-11-23 01:29:17,336] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7590869Z [2022-11-23 01:29:17,337] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7591116Z [2022-11-23 01:29:17,340] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7591304Z [2022-11-23 01:29:17,340] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7591437Z  __compiled_fn_475 <eval_with_key>.3669 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7591527Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7591614Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7591791Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7591887Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7591893Z 
2022-11-23T01:30:20.7592218Z [2022-11-23 01:29:17,341] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7592299Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7592452Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7592538Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7592632Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7592719Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7592804Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7592879Z              12 RETURN_VALUE
2022-11-23T01:30:20.7592884Z 
2022-11-23T01:30:20.7592931Z  
2022-11-23T01:30:20.7593253Z [2022-11-23 01:29:17,341] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7593390Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_475)
2022-11-23T01:30:20.7593478Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7593570Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7593647Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7593738Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7593903Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7593969Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7594057Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7594161Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7594260Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7594350Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7594423Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7594510Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7594573Z              26 RETURN_VALUE
2022-11-23T01:30:20.7594579Z 
2022-11-23T01:30:20.7594638Z  
2022-11-23T01:30:20.7594823Z [2022-11-23 01:29:17,341] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7594893Z  - 
2022-11-23T01:30:20.7595010Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7595073Z             {
2022-11-23T01:30:20.7595214Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7595387Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7595505Z                 'obj_weakref': None
2022-11-23T01:30:20.7595725Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7595790Z             }
2022-11-23T01:30:20.7595855Z             
2022-11-23T01:30:20.7595921Z  - 
2022-11-23T01:30:20.7596042Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7596093Z             {
2022-11-23T01:30:20.7596233Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7596340Z                 'code': None,
2022-11-23T01:30:20.7596550Z                 'obj_weakref': <weakref at 0x7ff58fd09a30; to 'Tensor' at 0x7ff57efcbab0>
2022-11-23T01:30:20.7596799Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7596862Z             }
2022-11-23T01:30:20.7596925Z             
2022-11-23T01:30:20.7596981Z  - 
2022-11-23T01:30:20.7597100Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7597162Z             {
2022-11-23T01:30:20.7597303Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7597408Z                 'code': None,
2022-11-23T01:30:20.7597615Z                 'obj_weakref': <weakref at 0x7ff5a8659da0; to 'Tensor' at 0x7ff5a831fdd0>
2022-11-23T01:30:20.7597866Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7597915Z             }
2022-11-23T01:30:20.7597978Z             
2022-11-23T01:30:20.7598048Z  - 
2022-11-23T01:30:20.7598178Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7598239Z             {
2022-11-23T01:30:20.7598370Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7598535Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7598641Z                 'obj_weakref': None
2022-11-23T01:30:20.7598899Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7598962Z             }
2022-11-23T01:30:20.7599025Z             
2022-11-23T01:30:20.7599093Z  - 
2022-11-23T01:30:20.7599212Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7599271Z             {
2022-11-23T01:30:20.7599394Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7599605Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7599722Z                 'obj_weakref': None
2022-11-23T01:30:20.7599969Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7600031Z             }
2022-11-23T01:30:20.7600090Z             
2022-11-23T01:30:20.7600348Z [2022-11-23 01:29:17,346] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 467
2022-11-23T01:30:20.7600705Z [2022-11-23 01:29:18,766] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/az/cazqlby2qmunqhgshnh25rtukp4uucq4wyaiacwu6gznncdrkmns.py
2022-11-23T01:30:20.7600965Z [2022-11-23 01:29:18,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 467
2022-11-23T01:30:20.7600970Z 
2022-11-23T01:30:20.7601061Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7601128Z import torch
2022-11-23T01:30:20.7601196Z import random
2022-11-23T01:30:20.7601308Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7601426Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7601434Z 
2022-11-23T01:30:20.7601508Z aten = torch.ops.aten
2022-11-23T01:30:20.7601629Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7601717Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7601722Z 
2022-11-23T01:30:20.7601726Z 
2022-11-23T01:30:20.7601858Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7602063Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7602181Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7602283Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7602381Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7602440Z {
2022-11-23T01:30:20.7602525Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7602584Z     {
2022-11-23T01:30:20.7602657Z         #pragma omp for 
2022-11-23T01:30:20.7602737Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7602800Z         {
2022-11-23T01:30:20.7602880Z             #pragma GCC ivdep
2022-11-23T01:30:20.7602962Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7603011Z             {
2022-11-23T01:30:20.7603074Z                 {
2022-11-23T01:30:20.7603139Z                     {
2022-11-23T01:30:20.7603233Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7603338Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:30:20.7603430Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7603527Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7603581Z                     }
2022-11-23T01:30:20.7603643Z                 }
2022-11-23T01:30:20.7603705Z             }
2022-11-23T01:30:20.7603767Z         }
2022-11-23T01:30:20.7603826Z     }
2022-11-23T01:30:20.7603883Z }
2022-11-23T01:30:20.7603948Z ''')
2022-11-23T01:30:20.7603964Z 
2022-11-23T01:30:20.7603969Z 
2022-11-23T01:30:20.7604045Z async_compile.wait(globals())
2022-11-23T01:30:20.7604113Z del async_compile
2022-11-23T01:30:20.7604120Z 
2022-11-23T01:30:20.7604187Z def call(args):
2022-11-23T01:30:20.7604259Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7604327Z     args.clear()
2022-11-23T01:30:20.7604537Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7604724Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7604780Z     del arg0_1
2022-11-23T01:30:20.7604844Z     del arg1_1
2022-11-23T01:30:20.7604912Z     return (buf0, )
2022-11-23T01:30:20.7604918Z 
2022-11-23T01:30:20.7604922Z 
2022-11-23T01:30:20.7604994Z if __name__ == "__main__":
2022-11-23T01:30:20.7605107Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7605226Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7605433Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7605631Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7605758Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7605764Z 
2022-11-23T01:30:20.7605828Z ok (1.437s)
2022-11-23T01:30:20.7606181Z   test_cpu_broadcast2_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:18,771] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7606497Z [2022-11-23 01:29:18,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7606715Z [2022-11-23 01:29:18,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7606967Z [2022-11-23 01:29:18,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7607240Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7607560Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7607903Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7608225Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7608595Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7608685Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7608774Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7608844Z               4 BINARY_ADD
2022-11-23T01:30:20.7608928Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7609005Z               8 RETURN_VALUE
2022-11-23T01:30:20.7609065Z  
2022-11-23T01:30:20.7609070Z 
2022-11-23T01:30:20.7609380Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7609576Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7609809Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7610077Z [2022-11-23 01:29:18,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7610313Z [2022-11-23 01:29:18,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7610554Z [2022-11-23 01:29:18,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7610937Z [2022-11-23 01:29:18,773] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7611180Z [2022-11-23 01:29:18,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7611435Z [2022-11-23 01:29:18,773] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7611688Z [2022-11-23 01:29:18,774] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7611922Z [2022-11-23 01:29:18,777] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7612106Z [2022-11-23 01:29:18,778] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7612237Z  __compiled_fn_476 <eval_with_key>.3675 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7612325Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7612437Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7612611Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7612703Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7612709Z 
2022-11-23T01:30:20.7613031Z [2022-11-23 01:29:18,778] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7613122Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7613199Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7613283Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7613373Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7613456Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7613543Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7613618Z              12 RETURN_VALUE
2022-11-23T01:30:20.7613622Z 
2022-11-23T01:30:20.7613681Z  
2022-11-23T01:30:20.7613989Z [2022-11-23 01:29:18,778] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7614095Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_476)
2022-11-23T01:30:20.7614181Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7614271Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7614348Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7614434Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7614519Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7614582Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7614668Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7614769Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7614869Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7614955Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7615032Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7615117Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7615178Z              26 RETURN_VALUE
2022-11-23T01:30:20.7615194Z 
2022-11-23T01:30:20.7615242Z  
2022-11-23T01:30:20.7615422Z [2022-11-23 01:29:18,779] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7615489Z  - 
2022-11-23T01:30:20.7615606Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7615670Z             {
2022-11-23T01:30:20.7615807Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7615990Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7616097Z                 'obj_weakref': None
2022-11-23T01:30:20.7616320Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7616384Z             }
2022-11-23T01:30:20.7616566Z             
2022-11-23T01:30:20.7616636Z  - 
2022-11-23T01:30:20.7616761Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7616825Z             {
2022-11-23T01:30:20.7616954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7617058Z                 'code': None,
2022-11-23T01:30:20.7617270Z                 'obj_weakref': <weakref at 0x7ff58fd09940; to 'Tensor' at 0x7ff5a8692bb0>
2022-11-23T01:30:20.7617575Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7617640Z             }
2022-11-23T01:30:20.7617702Z             
2022-11-23T01:30:20.7617769Z  - 
2022-11-23T01:30:20.7617880Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7617941Z             {
2022-11-23T01:30:20.7618083Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7618187Z                 'code': None,
2022-11-23T01:30:20.7618399Z                 'obj_weakref': <weakref at 0x7ff58ff143b0; to 'Tensor' at 0x7ff57efe6520>
2022-11-23T01:30:20.7618650Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7618747Z             }
2022-11-23T01:30:20.7618797Z             
2022-11-23T01:30:20.7618865Z  - 
2022-11-23T01:30:20.7618994Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7619056Z             {
2022-11-23T01:30:20.7619191Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7619360Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7619476Z                 'obj_weakref': None
2022-11-23T01:30:20.7619692Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7619753Z             }
2022-11-23T01:30:20.7619814Z             
2022-11-23T01:30:20.7619882Z  - 
2022-11-23T01:30:20.7620001Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7620064Z             {
2022-11-23T01:30:20.7620186Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7620400Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7620519Z                 'obj_weakref': None
2022-11-23T01:30:20.7620735Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7620796Z             }
2022-11-23T01:30:20.7620858Z             
2022-11-23T01:30:20.7621121Z [2022-11-23 01:29:18,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 468
2022-11-23T01:30:20.7621498Z [2022-11-23 01:29:18,793] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wv/cwvcpohwsukizcydnllfkunmvfog54pw6bkgoni7vcskzoaef5oi.py
2022-11-23T01:30:20.7621748Z [2022-11-23 01:29:18,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 468
2022-11-23T01:30:20.7621766Z 
2022-11-23T01:30:20.7621846Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7621914Z import torch
2022-11-23T01:30:20.7621982Z import random
2022-11-23T01:30:20.7622098Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7622216Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7622221Z 
2022-11-23T01:30:20.7622296Z aten = torch.ops.aten
2022-11-23T01:30:20.7622427Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7622506Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7622512Z 
2022-11-23T01:30:20.7622527Z 
2022-11-23T01:30:20.7622647Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7622851Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7622970Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7623072Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7623170Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7623230Z {
2022-11-23T01:30:20.7623324Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7623375Z     {
2022-11-23T01:30:20.7623452Z         #pragma omp for 
2022-11-23T01:30:20.7623532Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7623592Z         {
2022-11-23T01:30:20.7623674Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.7623738Z             {
2022-11-23T01:30:20.7623880Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i1);
2022-11-23T01:30:20.7624036Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7624126Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7624230Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7624294Z             }
2022-11-23T01:30:20.7624387Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.7624470Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.7624532Z             {
2022-11-23T01:30:20.7624602Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.7624699Z                 auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.7624814Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7624906Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7624969Z             }
2022-11-23T01:30:20.7625032Z         }
2022-11-23T01:30:20.7625095Z     }
2022-11-23T01:30:20.7625143Z }
2022-11-23T01:30:20.7625223Z ''')
2022-11-23T01:30:20.7625227Z 
2022-11-23T01:30:20.7625232Z 
2022-11-23T01:30:20.7625324Z async_compile.wait(globals())
2022-11-23T01:30:20.7625397Z del async_compile
2022-11-23T01:30:20.7625402Z 
2022-11-23T01:30:20.7625473Z def call(args):
2022-11-23T01:30:20.7625548Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7625620Z     args.clear()
2022-11-23T01:30:20.7625819Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7625982Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7626051Z     del arg0_1
2022-11-23T01:30:20.7626116Z     del arg1_1
2022-11-23T01:30:20.7626190Z     return (buf0, )
2022-11-23T01:30:20.7626195Z 
2022-11-23T01:30:20.7626198Z 
2022-11-23T01:30:20.7626274Z if __name__ == "__main__":
2022-11-23T01:30:20.7626389Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7626510Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7626708Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7626906Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7627020Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7627025Z 
2022-11-23T01:30:20.7627093Z ok (0.026s)
2022-11-23T01:30:20.7627442Z   test_cpu_broadcast3_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7627763Z [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7627986Z [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7628237Z [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7628512Z [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7628817Z [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7629164Z [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7629484Z [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7629867Z [2022-11-23 01:29:18,797] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7629960Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7630050Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7630162Z               4 BINARY_ADD
2022-11-23T01:30:20.7630253Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7630330Z               8 RETURN_VALUE
2022-11-23T01:30:20.7630378Z  
2022-11-23T01:30:20.7630383Z 
2022-11-23T01:30:20.7630700Z [2022-11-23 01:29:18,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7630910Z [2022-11-23 01:29:18,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7631144Z [2022-11-23 01:29:18,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7631443Z [2022-11-23 01:29:18,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7631681Z [2022-11-23 01:29:18,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7631925Z [2022-11-23 01:29:18,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7632310Z [2022-11-23 01:29:18,799] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7632557Z [2022-11-23 01:29:18,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7632779Z [2022-11-23 01:29:18,799] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7633036Z [2022-11-23 01:29:18,800] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7633282Z [2022-11-23 01:29:18,802] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7633469Z [2022-11-23 01:29:18,803] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7633603Z  __compiled_fn_477 <eval_with_key>.3681 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7633693Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7633777Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7634023Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7634105Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7634124Z 
2022-11-23T01:30:20.7634436Z [2022-11-23 01:29:18,803] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7634529Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7634619Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7634709Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7634800Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7634884Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7634972Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7635036Z              12 RETURN_VALUE
2022-11-23T01:30:20.7635041Z 
2022-11-23T01:30:20.7635102Z  
2022-11-23T01:30:20.7635425Z [2022-11-23 01:29:18,803] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7635531Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_477)
2022-11-23T01:30:20.7635622Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7635709Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7635785Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7635872Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7635950Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7636023Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7636109Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7636211Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7636313Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7636432Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7636508Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7636582Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7636658Z              26 RETURN_VALUE
2022-11-23T01:30:20.7636663Z 
2022-11-23T01:30:20.7636725Z  
2022-11-23T01:30:20.7636906Z [2022-11-23 01:29:18,804] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7636977Z  - 
2022-11-23T01:30:20.7637094Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7637156Z             {
2022-11-23T01:30:20.7637283Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7637497Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7637613Z                 'obj_weakref': None
2022-11-23T01:30:20.7637835Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7637897Z             }
2022-11-23T01:30:20.7642400Z             
2022-11-23T01:30:20.7642498Z  - 
2022-11-23T01:30:20.7642621Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7642685Z             {
2022-11-23T01:30:20.7642834Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7642941Z                 'code': None,
2022-11-23T01:30:20.7643155Z                 'obj_weakref': <weakref at 0x7ff57efe7650; to 'Tensor' at 0x7ff58fc4cbd0>
2022-11-23T01:30:20.7643411Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7643474Z             }
2022-11-23T01:30:20.7643525Z             
2022-11-23T01:30:20.7643595Z  - 
2022-11-23T01:30:20.7643718Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7643782Z             {
2022-11-23T01:30:20.7643925Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7644031Z                 'code': None,
2022-11-23T01:30:20.7644245Z                 'obj_weakref': <weakref at 0x7ff5a80d3fb0; to 'Tensor' at 0x7ff57efcaa20>
2022-11-23T01:30:20.7644487Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7644552Z             }
2022-11-23T01:30:20.7644614Z             
2022-11-23T01:30:20.7644682Z  - 
2022-11-23T01:30:20.7644810Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7644870Z             {
2022-11-23T01:30:20.7645003Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7645159Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7645275Z                 'obj_weakref': None
2022-11-23T01:30:20.7645507Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7645569Z             }
2022-11-23T01:30:20.7645629Z             
2022-11-23T01:30:20.7645695Z  - 
2022-11-23T01:30:20.7645814Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7645865Z             {
2022-11-23T01:30:20.7645999Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7646214Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7646330Z                 'obj_weakref': None
2022-11-23T01:30:20.7646549Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7646610Z             }
2022-11-23T01:30:20.7646671Z             
2022-11-23T01:30:20.7646922Z [2022-11-23 01:29:18,808] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 469
2022-11-23T01:30:20.7647290Z [2022-11-23 01:29:20,194] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gp/cgpzu32bq3cgddyoh5kgzopt6oq667ks364eeps2dtid7lpb5tkf.py
2022-11-23T01:30:20.7647552Z [2022-11-23 01:29:20,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 469
2022-11-23T01:30:20.7647559Z 
2022-11-23T01:30:20.7647652Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7647782Z import torch
2022-11-23T01:30:20.7647852Z import random
2022-11-23T01:30:20.7647965Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7648084Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7648089Z 
2022-11-23T01:30:20.7648154Z aten = torch.ops.aten
2022-11-23T01:30:20.7648288Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7648377Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7648382Z 
2022-11-23T01:30:20.7648386Z 
2022-11-23T01:30:20.7648521Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7648722Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7648872Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7648973Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7649072Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7649121Z {
2022-11-23T01:30:20.7649218Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7649278Z     {
2022-11-23T01:30:20.7649351Z         #pragma omp for 
2022-11-23T01:30:20.7649430Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.7649492Z         {
2022-11-23T01:30:20.7649620Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:30:20.7649741Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.7649825Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7649914Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7649974Z         }
2022-11-23T01:30:20.7650066Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7650146Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.7650205Z         {
2022-11-23T01:30:20.7650275Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.7650355Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7650435Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7650515Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7650574Z         }
2022-11-23T01:30:20.7650630Z     }
2022-11-23T01:30:20.7650689Z }
2022-11-23T01:30:20.7650756Z ''')
2022-11-23T01:30:20.7650761Z 
2022-11-23T01:30:20.7650765Z 
2022-11-23T01:30:20.7650853Z async_compile.wait(globals())
2022-11-23T01:30:20.7650926Z del async_compile
2022-11-23T01:30:20.7650930Z 
2022-11-23T01:30:20.7651000Z def call(args):
2022-11-23T01:30:20.7651073Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7651144Z     args.clear()
2022-11-23T01:30:20.7651338Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7651488Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7651559Z     del arg0_1
2022-11-23T01:30:20.7651624Z     del arg1_1
2022-11-23T01:30:20.7651694Z     return (buf0, )
2022-11-23T01:30:20.7651699Z 
2022-11-23T01:30:20.7651704Z 
2022-11-23T01:30:20.7651779Z if __name__ == "__main__":
2022-11-23T01:30:20.7651892Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7652012Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7652203Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7652382Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7652495Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7652500Z 
2022-11-23T01:30:20.7652565Z ok (1.402s)
2022-11-23T01:30:20.7652918Z   test_cpu_broadcast3_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:20,199] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7653238Z [2022-11-23 01:29:20,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7653455Z [2022-11-23 01:29:20,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7653737Z [2022-11-23 01:29:20,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7654013Z [2022-11-23 01:29:20,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7654333Z [2022-11-23 01:29:20,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7654670Z [2022-11-23 01:29:20,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7655019Z [2022-11-23 01:29:20,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7655403Z [2022-11-23 01:29:20,200] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7655494Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7655586Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7655657Z               4 BINARY_ADD
2022-11-23T01:30:20.7655744Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7655818Z               8 RETURN_VALUE
2022-11-23T01:30:20.7655866Z  
2022-11-23T01:30:20.7655882Z 
2022-11-23T01:30:20.7656181Z [2022-11-23 01:29:20,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7656389Z [2022-11-23 01:29:20,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7656758Z [2022-11-23 01:29:20,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7657030Z [2022-11-23 01:29:20,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7657272Z [2022-11-23 01:29:20,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7657515Z [2022-11-23 01:29:20,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7657902Z [2022-11-23 01:29:20,202] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7658143Z [2022-11-23 01:29:20,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7658377Z [2022-11-23 01:29:20,203] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7658620Z [2022-11-23 01:29:20,203] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7658870Z [2022-11-23 01:29:20,206] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7659057Z [2022-11-23 01:29:20,206] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7659190Z  __compiled_fn_478 <eval_with_key>.3687 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7659279Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7659365Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7659543Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7659640Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7659646Z 
2022-11-23T01:30:20.7659958Z [2022-11-23 01:29:20,206] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7660054Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7660143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7660228Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7660373Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7660459Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7660544Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7660618Z              12 RETURN_VALUE
2022-11-23T01:30:20.7660623Z 
2022-11-23T01:30:20.7660670Z  
2022-11-23T01:30:20.7660994Z [2022-11-23 01:29:20,206] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7661100Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_478)
2022-11-23T01:30:20.7661190Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7661312Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7661386Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7661473Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7661558Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7661620Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7661709Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7661810Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7661912Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7661998Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7662072Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7662158Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7662219Z              26 RETURN_VALUE
2022-11-23T01:30:20.7662224Z 
2022-11-23T01:30:20.7662283Z  
2022-11-23T01:30:20.7662465Z [2022-11-23 01:29:20,207] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7662536Z  - 
2022-11-23T01:30:20.7662653Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7662715Z             {
2022-11-23T01:30:20.7662852Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7663024Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7663141Z                 'obj_weakref': None
2022-11-23T01:30:20.7663366Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7663433Z             }
2022-11-23T01:30:20.7663496Z             
2022-11-23T01:30:20.7663564Z  - 
2022-11-23T01:30:20.7663688Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7663738Z             {
2022-11-23T01:30:20.7663880Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7663985Z                 'code': None,
2022-11-23T01:30:20.7664198Z                 'obj_weakref': <weakref at 0x7ff58f91bc40; to 'Tensor' at 0x7ff58fd0b330>
2022-11-23T01:30:20.7664449Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7664514Z             }
2022-11-23T01:30:20.7664575Z             
2022-11-23T01:30:20.7664631Z  - 
2022-11-23T01:30:20.7664750Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7664812Z             {
2022-11-23T01:30:20.7664954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7665059Z                 'code': None,
2022-11-23T01:30:20.7665268Z                 'obj_weakref': <weakref at 0x7ff58f91bc90; to 'Tensor' at 0x7ff59c18ed40>
2022-11-23T01:30:20.7665520Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7665570Z             }
2022-11-23T01:30:20.7665631Z             
2022-11-23T01:30:20.7665699Z  - 
2022-11-23T01:30:20.7665829Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7665891Z             {
2022-11-23T01:30:20.7666026Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7666196Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7666301Z                 'obj_weakref': None
2022-11-23T01:30:20.7666528Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7666592Z             }
2022-11-23T01:30:20.7666683Z             
2022-11-23T01:30:20.7666751Z  - 
2022-11-23T01:30:20.7666868Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7666929Z             {
2022-11-23T01:30:20.7667052Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7667266Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7667386Z                 'obj_weakref': None
2022-11-23T01:30:20.7667603Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7667665Z             }
2022-11-23T01:30:20.7667730Z             
2022-11-23T01:30:20.7668015Z [2022-11-23 01:29:20,211] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 470
2022-11-23T01:30:20.7668370Z [2022-11-23 01:29:20,219] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a3/ca3jnra6i4zefyyteu2mfmznmhyy5stkdkjtrkb3gp7rylqkn7x4.py
2022-11-23T01:30:20.7668635Z [2022-11-23 01:29:20,219] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 470
2022-11-23T01:30:20.7668640Z 
2022-11-23T01:30:20.7668731Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7668797Z import torch
2022-11-23T01:30:20.7668864Z import random
2022-11-23T01:30:20.7668977Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7669095Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7669100Z 
2022-11-23T01:30:20.7669175Z aten = torch.ops.aten
2022-11-23T01:30:20.7669295Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7669387Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7669395Z 
2022-11-23T01:30:20.7669399Z 
2022-11-23T01:30:20.7669531Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7669735Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7669851Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7669956Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7670054Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7670114Z {
2022-11-23T01:30:20.7670199Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7670260Z     {
2022-11-23T01:30:20.7670334Z         #pragma omp for 
2022-11-23T01:30:20.7670413Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:30:20.7670475Z         {
2022-11-23T01:30:20.7670596Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:30:20.7670728Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.7670803Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7670892Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7670957Z         }
2022-11-23T01:30:20.7671048Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7671128Z         for(long i0=8; i0<10; i0+=1)
2022-11-23T01:30:20.7671186Z         {
2022-11-23T01:30:20.7671269Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.7671338Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7671419Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7671498Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7671560Z         }
2022-11-23T01:30:20.7671619Z     }
2022-11-23T01:30:20.7671676Z }
2022-11-23T01:30:20.7671749Z ''')
2022-11-23T01:30:20.7671754Z 
2022-11-23T01:30:20.7671758Z 
2022-11-23T01:30:20.7671834Z async_compile.wait(globals())
2022-11-23T01:30:20.7671906Z del async_compile
2022-11-23T01:30:20.7671911Z 
2022-11-23T01:30:20.7671979Z def call(args):
2022-11-23T01:30:20.7672056Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7672126Z     args.clear()
2022-11-23T01:30:20.7672329Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7672489Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7672543Z     del arg0_1
2022-11-23T01:30:20.7672639Z     del arg1_1
2022-11-23T01:30:20.7672711Z     return (buf0, )
2022-11-23T01:30:20.7672716Z 
2022-11-23T01:30:20.7672720Z 
2022-11-23T01:30:20.7672795Z if __name__ == "__main__":
2022-11-23T01:30:20.7672907Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7673028Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7673224Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7673426Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7673526Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7673571Z 
2022-11-23T01:30:20.7673625Z ok (0.024s)
2022-11-23T01:30:20.7674062Z   test_cpu_broadcast3_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7674389Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7674604Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7674855Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7675129Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7675446Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7675794Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7676115Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7676484Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7676574Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7676661Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7676735Z               4 BINARY_ADD
2022-11-23T01:30:20.7676822Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7676896Z               8 RETURN_VALUE
2022-11-23T01:30:20.7676957Z  
2022-11-23T01:30:20.7676962Z 
2022-11-23T01:30:20.7677275Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7677472Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7677709Z [2022-11-23 01:29:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7677980Z [2022-11-23 01:29:20,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7678220Z [2022-11-23 01:29:20,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7678465Z [2022-11-23 01:29:20,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7678846Z [2022-11-23 01:29:20,224] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7679092Z [2022-11-23 01:29:20,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7679322Z [2022-11-23 01:29:20,224] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7679628Z [2022-11-23 01:29:20,225] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7679876Z [2022-11-23 01:29:20,228] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7680051Z [2022-11-23 01:29:20,228] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7680183Z  __compiled_fn_479 <eval_with_key>.3693 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7680273Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7680358Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7680534Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7680656Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7680661Z 
2022-11-23T01:30:20.7680985Z [2022-11-23 01:29:20,228] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7681078Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7681157Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7681242Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7681333Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7681416Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7681504Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7681578Z              12 RETURN_VALUE
2022-11-23T01:30:20.7681583Z 
2022-11-23T01:30:20.7681644Z  
2022-11-23T01:30:20.7681952Z [2022-11-23 01:29:20,228] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7682060Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_479)
2022-11-23T01:30:20.7682150Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7682240Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7682313Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7682403Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7682489Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7682564Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7682639Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7682739Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7682840Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7682926Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7683000Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7683086Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7683161Z              26 RETURN_VALUE
2022-11-23T01:30:20.7683166Z 
2022-11-23T01:30:20.7683213Z  
2022-11-23T01:30:20.7683394Z [2022-11-23 01:29:20,229] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7683460Z  - 
2022-11-23T01:30:20.7683576Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7683637Z             {
2022-11-23T01:30:20.7683776Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7683961Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7684067Z                 'obj_weakref': None
2022-11-23T01:30:20.7684288Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7684352Z             }
2022-11-23T01:30:20.7684413Z             
2022-11-23T01:30:20.7684480Z  - 
2022-11-23T01:30:20.7684601Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7684663Z             {
2022-11-23T01:30:20.7684791Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7684898Z                 'code': None,
2022-11-23T01:30:20.7685108Z                 'obj_weakref': <weakref at 0x7ff57ee34590; to 'Tensor' at 0x7ff57eea96c0>
2022-11-23T01:30:20.7685360Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7685421Z             }
2022-11-23T01:30:20.7685509Z             
2022-11-23T01:30:20.7685579Z  - 
2022-11-23T01:30:20.7685687Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7685748Z             {
2022-11-23T01:30:20.7685891Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7685997Z                 'code': None,
2022-11-23T01:30:20.7686206Z                 'obj_weakref': <weakref at 0x7ff5a831ec50; to 'Tensor' at 0x7ff57eea8f90>
2022-11-23T01:30:20.7686456Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7686518Z             }
2022-11-23T01:30:20.7686568Z             
2022-11-23T01:30:20.7686664Z  - 
2022-11-23T01:30:20.7686793Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7686856Z             {
2022-11-23T01:30:20.7686989Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7687155Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7687275Z                 'obj_weakref': None
2022-11-23T01:30:20.7687491Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7687553Z             }
2022-11-23T01:30:20.7687616Z             
2022-11-23T01:30:20.7687687Z  - 
2022-11-23T01:30:20.7687806Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7687866Z             {
2022-11-23T01:30:20.7688000Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7688203Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7688318Z                 'obj_weakref': None
2022-11-23T01:30:20.7688535Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7688596Z             }
2022-11-23T01:30:20.7688658Z             
2022-11-23T01:30:20.7688918Z [2022-11-23 01:29:20,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 471
2022-11-23T01:30:20.7689283Z [2022-11-23 01:29:21,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmh734xjfadt5e3yul2rpclhlxk37gld7qoap3yz5biqttom4eu.py
2022-11-23T01:30:20.7689548Z [2022-11-23 01:29:21,589] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 471
2022-11-23T01:30:20.7689553Z 
2022-11-23T01:30:20.7689634Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7689701Z import torch
2022-11-23T01:30:20.7689768Z import random
2022-11-23T01:30:20.7689881Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7689999Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7690006Z 
2022-11-23T01:30:20.7690083Z aten = torch.ops.aten
2022-11-23T01:30:20.7690213Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7690292Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7690306Z 
2022-11-23T01:30:20.7690310Z 
2022-11-23T01:30:20.7690430Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7690634Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7690752Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7690855Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7690950Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7691012Z {
2022-11-23T01:30:20.7691074Z     {
2022-11-23T01:30:20.7691125Z         {
2022-11-23T01:30:20.7691209Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.7691289Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:30:20.7691371Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7691448Z             out_ptr0[0] = tmp2;
2022-11-23T01:30:20.7691510Z         }
2022-11-23T01:30:20.7691571Z     }
2022-11-23T01:30:20.7691618Z }
2022-11-23T01:30:20.7691695Z ''')
2022-11-23T01:30:20.7691700Z 
2022-11-23T01:30:20.7691704Z 
2022-11-23T01:30:20.7691791Z async_compile.wait(globals())
2022-11-23T01:30:20.7691865Z del async_compile
2022-11-23T01:30:20.7691902Z 
2022-11-23T01:30:20.7691972Z def call(args):
2022-11-23T01:30:20.7692046Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7692115Z     args.clear()
2022-11-23T01:30:20.7692294Z     buf0 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7692457Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7692523Z     del arg0_1
2022-11-23T01:30:20.7692590Z     del arg1_1
2022-11-23T01:30:20.7692658Z     return (buf0, )
2022-11-23T01:30:20.7692663Z 
2022-11-23T01:30:20.7692667Z 
2022-11-23T01:30:20.7692741Z if __name__ == "__main__":
2022-11-23T01:30:20.7692905Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7693027Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7693206Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7693395Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7693511Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7693516Z 
2022-11-23T01:30:20.7693581Z ok (1.370s)
2022-11-23T01:30:20.7693921Z   test_cpu_broadcast3_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:21,593] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7694234Z [2022-11-23 01:29:21,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7694451Z [2022-11-23 01:29:21,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7694705Z [2022-11-23 01:29:21,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7694979Z [2022-11-23 01:29:21,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7695288Z [2022-11-23 01:29:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7695628Z [2022-11-23 01:29:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7695948Z [2022-11-23 01:29:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7696330Z [2022-11-23 01:29:21,594] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7696552Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7696644Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7696716Z               4 BINARY_ADD
2022-11-23T01:30:20.7696804Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7696880Z               8 RETURN_VALUE
2022-11-23T01:30:20.7696929Z  
2022-11-23T01:30:20.7696934Z 
2022-11-23T01:30:20.7697247Z [2022-11-23 01:29:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7697457Z [2022-11-23 01:29:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7697694Z [2022-11-23 01:29:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7697965Z [2022-11-23 01:29:21,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7698208Z [2022-11-23 01:29:21,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7698452Z [2022-11-23 01:29:21,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7698887Z [2022-11-23 01:29:21,595] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7699134Z [2022-11-23 01:29:21,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7699353Z [2022-11-23 01:29:21,595] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7699602Z [2022-11-23 01:29:21,596] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7699849Z [2022-11-23 01:29:21,599] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7700071Z [2022-11-23 01:29:21,599] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7700201Z  __compiled_fn_480 <eval_with_key>.3699 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7700291Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7700380Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7700557Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7700638Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7700642Z 
2022-11-23T01:30:20.7700963Z [2022-11-23 01:29:21,600] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7701055Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7701143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7701228Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7701321Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7701405Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7701491Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7701553Z              12 RETURN_VALUE
2022-11-23T01:30:20.7701559Z 
2022-11-23T01:30:20.7701618Z  
2022-11-23T01:30:20.7701937Z [2022-11-23 01:29:21,600] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7702043Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_480)
2022-11-23T01:30:20.7702130Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7702219Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7702295Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7702370Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7702458Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7702530Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7702620Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7702721Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7702822Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7702909Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7702983Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7703060Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7703133Z              26 RETURN_VALUE
2022-11-23T01:30:20.7703138Z 
2022-11-23T01:30:20.7703202Z  
2022-11-23T01:30:20.7703385Z [2022-11-23 01:29:21,600] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7703453Z  - 
2022-11-23T01:30:20.7703570Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7703635Z             {
2022-11-23T01:30:20.7703761Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7703947Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7704069Z                 'obj_weakref': None
2022-11-23T01:30:20.7704291Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7704355Z             }
2022-11-23T01:30:20.7704416Z             
2022-11-23T01:30:20.7704484Z  - 
2022-11-23T01:30:20.7704594Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7704679Z             {
2022-11-23T01:30:20.7704824Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7704930Z                 'code': None,
2022-11-23T01:30:20.7705143Z                 'obj_weakref': <weakref at 0x7ff58ff16980; to 'Tensor' at 0x7ff59c02a160>
2022-11-23T01:30:20.7705395Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7705457Z             }
2022-11-23T01:30:20.7705508Z             
2022-11-23T01:30:20.7705575Z  - 
2022-11-23T01:30:20.7705698Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7705759Z             {
2022-11-23T01:30:20.7705930Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7706036Z                 'code': None,
2022-11-23T01:30:20.7706247Z                 'obj_weakref': <weakref at 0x7ff57f8e1a30; to 'Tensor' at 0x7ff57ff14f90>
2022-11-23T01:30:20.7706488Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7706552Z             }
2022-11-23T01:30:20.7706614Z             
2022-11-23T01:30:20.7706684Z  - 
2022-11-23T01:30:20.7706810Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7706870Z             {
2022-11-23T01:30:20.7707003Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7707159Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7707275Z                 'obj_weakref': None
2022-11-23T01:30:20.7707504Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7707569Z             }
2022-11-23T01:30:20.7707632Z             
2022-11-23T01:30:20.7707698Z  - 
2022-11-23T01:30:20.7707819Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7707869Z             {
2022-11-23T01:30:20.7708003Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7708225Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7708342Z                 'obj_weakref': None
2022-11-23T01:30:20.7708563Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7708623Z             }
2022-11-23T01:30:20.7708686Z             
2022-11-23T01:30:20.7708932Z [2022-11-23 01:29:21,605] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 472
2022-11-23T01:30:20.7709306Z [2022-11-23 01:29:22,996] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qy/cqydvjdhci6hmqfzcnxrcugffbhwq3cacwfuxtkan7sfid3fchmn.py
2022-11-23T01:30:20.7709571Z [2022-11-23 01:29:22,996] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 472
2022-11-23T01:30:20.7709577Z 
2022-11-23T01:30:20.7709670Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7709738Z import torch
2022-11-23T01:30:20.7709805Z import random
2022-11-23T01:30:20.7709918Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7710035Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7710041Z 
2022-11-23T01:30:20.7710106Z aten = torch.ops.aten
2022-11-23T01:30:20.7710236Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7710327Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7710331Z 
2022-11-23T01:30:20.7710336Z 
2022-11-23T01:30:20.7710466Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7710669Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7710787Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7710892Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7710990Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7711038Z {
2022-11-23T01:30:20.7711132Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7711190Z     {
2022-11-23T01:30:20.7711265Z         #pragma omp for 
2022-11-23T01:30:20.7711375Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.7711441Z         {
2022-11-23T01:30:20.7711569Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:30:20.7711689Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.7711772Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7711862Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7711920Z         }
2022-11-23T01:30:20.7712012Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7712092Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:30:20.7712152Z         {
2022-11-23T01:30:20.7712249Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.7712330Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7712410Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7712488Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7712548Z         }
2022-11-23T01:30:20.7712612Z     }
2022-11-23T01:30:20.7712673Z }
2022-11-23T01:30:20.7712743Z ''')
2022-11-23T01:30:20.7712748Z 
2022-11-23T01:30:20.7712752Z 
2022-11-23T01:30:20.7712838Z async_compile.wait(globals())
2022-11-23T01:30:20.7712909Z del async_compile
2022-11-23T01:30:20.7712914Z 
2022-11-23T01:30:20.7712982Z def call(args):
2022-11-23T01:30:20.7713056Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7713125Z     args.clear()
2022-11-23T01:30:20.7713324Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7713473Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7713540Z     del arg0_1
2022-11-23T01:30:20.7713608Z     del arg1_1
2022-11-23T01:30:20.7713682Z     return (buf0, )
2022-11-23T01:30:20.7713686Z 
2022-11-23T01:30:20.7713690Z 
2022-11-23T01:30:20.7713764Z if __name__ == "__main__":
2022-11-23T01:30:20.7713957Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7714086Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7714286Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7714471Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7714586Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7714591Z 
2022-11-23T01:30:20.7714658Z ok (1.407s)
2022-11-23T01:30:20.7715001Z   test_cpu_broadcast3_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:23,001] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7715317Z [2022-11-23 01:29:23,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7715535Z [2022-11-23 01:29:23,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7715786Z [2022-11-23 01:29:23,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7716063Z [2022-11-23 01:29:23,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7716380Z [2022-11-23 01:29:23,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7716709Z [2022-11-23 01:29:23,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7717027Z [2022-11-23 01:29:23,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7717407Z [2022-11-23 01:29:23,002] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7717498Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7717618Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7717693Z               4 BINARY_ADD
2022-11-23T01:30:20.7717779Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7717854Z               8 RETURN_VALUE
2022-11-23T01:30:20.7717914Z  
2022-11-23T01:30:20.7717919Z 
2022-11-23T01:30:20.7718217Z [2022-11-23 01:29:23,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7718422Z [2022-11-23 01:29:23,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7718657Z [2022-11-23 01:29:23,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7718959Z [2022-11-23 01:29:23,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7719196Z [2022-11-23 01:29:23,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7719441Z [2022-11-23 01:29:23,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7719826Z [2022-11-23 01:29:23,003] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7720065Z [2022-11-23 01:29:23,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7720295Z [2022-11-23 01:29:23,003] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7720534Z [2022-11-23 01:29:23,004] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7720781Z [2022-11-23 01:29:23,007] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7720965Z [2022-11-23 01:29:23,007] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7721098Z  __compiled_fn_481 <eval_with_key>.3705 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7721185Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7721270Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7721445Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7721539Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7721544Z 
2022-11-23T01:30:20.7721861Z [2022-11-23 01:29:23,007] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7721942Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7722032Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7722115Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7722204Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7722288Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7722376Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7722450Z              12 RETURN_VALUE
2022-11-23T01:30:20.7722455Z 
2022-11-23T01:30:20.7722502Z  
2022-11-23T01:30:20.7722821Z [2022-11-23 01:29:23,007] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7722925Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_481)
2022-11-23T01:30:20.7723012Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7723100Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7723177Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7723268Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7723353Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7723415Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7723500Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7723601Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7723736Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7723824Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7723898Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7723985Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7724046Z              26 RETURN_VALUE
2022-11-23T01:30:20.7724051Z 
2022-11-23T01:30:20.7724112Z  
2022-11-23T01:30:20.7724293Z [2022-11-23 01:29:23,008] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7724361Z  - 
2022-11-23T01:30:20.7724478Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7724540Z             {
2022-11-23T01:30:20.7724708Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7724879Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7724996Z                 'obj_weakref': None
2022-11-23T01:30:20.7725222Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7725285Z             }
2022-11-23T01:30:20.7725345Z             
2022-11-23T01:30:20.7725412Z  - 
2022-11-23T01:30:20.7725532Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7725582Z             {
2022-11-23T01:30:20.7725723Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7725828Z                 'code': None,
2022-11-23T01:30:20.7726038Z                 'obj_weakref': <weakref at 0x7ff57efe6480; to 'Tensor' at 0x7ff57eea9df0>
2022-11-23T01:30:20.7726289Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7726349Z             }
2022-11-23T01:30:20.7726413Z             
2022-11-23T01:30:20.7726469Z  - 
2022-11-23T01:30:20.7726589Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7726651Z             {
2022-11-23T01:30:20.7726792Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7726895Z                 'code': None,
2022-11-23T01:30:20.7727105Z                 'obj_weakref': <weakref at 0x7ff57efe5760; to 'Tensor' at 0x7ff57ee827f0>
2022-11-23T01:30:20.7727355Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7727406Z             }
2022-11-23T01:30:20.7727469Z             
2022-11-23T01:30:20.7727539Z  - 
2022-11-23T01:30:20.7727667Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7727729Z             {
2022-11-23T01:30:20.7727860Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7728027Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7728135Z                 'obj_weakref': None
2022-11-23T01:30:20.7728364Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7728425Z             }
2022-11-23T01:30:20.7728487Z             
2022-11-23T01:30:20.7728552Z  - 
2022-11-23T01:30:20.7728670Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7728733Z             {
2022-11-23T01:30:20.7728856Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7729069Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7729186Z                 'obj_weakref': None
2022-11-23T01:30:20.7729404Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7729469Z             }
2022-11-23T01:30:20.7729528Z             
2022-11-23T01:30:20.7729786Z [2022-11-23 01:29:23,012] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 473
2022-11-23T01:30:20.7730145Z [2022-11-23 01:29:24,391] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/me/cmemgotwvflszwdsna4wxw5ikov6uvtxebmsmbvbrfhq6j73aw4w.py
2022-11-23T01:30:20.7730406Z [2022-11-23 01:29:24,391] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 473
2022-11-23T01:30:20.7730411Z 
2022-11-23T01:30:20.7730529Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7730599Z import torch
2022-11-23T01:30:20.7730667Z import random
2022-11-23T01:30:20.7730782Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7730899Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7730904Z 
2022-11-23T01:30:20.7730980Z aten = torch.ops.aten
2022-11-23T01:30:20.7731101Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7731189Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7731195Z 
2022-11-23T01:30:20.7731199Z 
2022-11-23T01:30:20.7731331Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7731566Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7731684Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7731789Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:30:20.7731891Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.7731953Z {
2022-11-23T01:30:20.7732038Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7732099Z     {
2022-11-23T01:30:20.7732175Z         #pragma omp for 
2022-11-23T01:30:20.7732261Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:30:20.7732324Z         {
2022-11-23T01:30:20.7732384Z             {
2022-11-23T01:30:20.7732446Z                 {
2022-11-23T01:30:20.7732523Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.7732615Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:20.7732720Z                     auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.7732810Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.7732892Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.7732958Z                 }
2022-11-23T01:30:20.7733022Z             }
2022-11-23T01:30:20.7733071Z         }
2022-11-23T01:30:20.7733131Z     }
2022-11-23T01:30:20.7733194Z }
2022-11-23T01:30:20.7733269Z ''')
2022-11-23T01:30:20.7733276Z 
2022-11-23T01:30:20.7733280Z 
2022-11-23T01:30:20.7733369Z async_compile.wait(globals())
2022-11-23T01:30:20.7733439Z del async_compile
2022-11-23T01:30:20.7733443Z 
2022-11-23T01:30:20.7733512Z def call(args):
2022-11-23T01:30:20.7733574Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7733644Z     args.clear()
2022-11-23T01:30:20.7733846Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7734008Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7734074Z     del arg0_1
2022-11-23T01:30:20.7734141Z     del arg1_1
2022-11-23T01:30:20.7734213Z     return (buf0, )
2022-11-23T01:30:20.7734218Z 
2022-11-23T01:30:20.7734222Z 
2022-11-23T01:30:20.7734285Z if __name__ == "__main__":
2022-11-23T01:30:20.7734395Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7734515Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7734709Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7734908Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7735021Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7735026Z 
2022-11-23T01:30:20.7735092Z ok (1.395s)
2022-11-23T01:30:20.7735429Z   test_cpu_broadcast3_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7735745Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7735950Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7736201Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7736650Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7736975Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7737317Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7737637Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7738055Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7738146Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7738233Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7738296Z               4 BINARY_ADD
2022-11-23T01:30:20.7738385Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7738458Z               8 RETURN_VALUE
2022-11-23T01:30:20.7738520Z  
2022-11-23T01:30:20.7738526Z 
2022-11-23T01:30:20.7738835Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7739045Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7739280Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7739556Z [2022-11-23 01:29:24,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7739797Z [2022-11-23 01:29:24,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7740028Z [2022-11-23 01:29:24,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7740411Z [2022-11-23 01:29:24,398] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7740653Z [2022-11-23 01:29:24,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7740887Z [2022-11-23 01:29:24,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7741143Z [2022-11-23 01:29:24,399] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7741390Z [2022-11-23 01:29:24,401] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7741576Z [2022-11-23 01:29:24,402] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7741717Z  __compiled_fn_482 <eval_with_key>.3711 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7741808Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7741880Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7742058Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7742150Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7742155Z 
2022-11-23T01:30:20.7742477Z [2022-11-23 01:29:24,402] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7742571Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7742660Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7742745Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7742835Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7742908Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7742994Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7743103Z              12 RETURN_VALUE
2022-11-23T01:30:20.7743109Z 
2022-11-23T01:30:20.7743169Z  
2022-11-23T01:30:20.7743494Z [2022-11-23 01:29:24,402] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7743600Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_482)
2022-11-23T01:30:20.7743688Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7743775Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7743838Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7743924Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7744039Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7744112Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7744197Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7744298Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7744398Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7744473Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7744549Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7744636Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7744708Z              26 RETURN_VALUE
2022-11-23T01:30:20.7744713Z 
2022-11-23T01:30:20.7744775Z  
2022-11-23T01:30:20.7744960Z [2022-11-23 01:29:24,403] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7745032Z  - 
2022-11-23T01:30:20.7745138Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7745203Z             {
2022-11-23T01:30:20.7745343Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7745534Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7745652Z                 'obj_weakref': None
2022-11-23T01:30:20.7745875Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7745940Z             }
2022-11-23T01:30:20.7745991Z             
2022-11-23T01:30:20.7746060Z  - 
2022-11-23T01:30:20.7746184Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7746251Z             {
2022-11-23T01:30:20.7746392Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7746500Z                 'code': None,
2022-11-23T01:30:20.7746714Z                 'obj_weakref': <weakref at 0x7ff58f9b5620; to 'Tensor' at 0x7ff57ff14f90>
2022-11-23T01:30:20.7746956Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7747020Z             }
2022-11-23T01:30:20.7747082Z             
2022-11-23T01:30:20.7747158Z  - 
2022-11-23T01:30:20.7747281Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7747346Z             {
2022-11-23T01:30:20.7747487Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7747580Z                 'code': None,
2022-11-23T01:30:20.7747792Z                 'obj_weakref': <weakref at 0x7ff58f9b44a0; to 'Tensor' at 0x7ff58ff14810>
2022-11-23T01:30:20.7748044Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7748109Z             }
2022-11-23T01:30:20.7748172Z             
2022-11-23T01:30:20.7748242Z  - 
2022-11-23T01:30:20.7748373Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7748424Z             {
2022-11-23T01:30:20.7748556Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7748724Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7748842Z                 'obj_weakref': None
2022-11-23T01:30:20.7749073Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7749137Z             }
2022-11-23T01:30:20.7749202Z             
2022-11-23T01:30:20.7749260Z  - 
2022-11-23T01:30:20.7749380Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7749445Z             {
2022-11-23T01:30:20.7749608Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7749827Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7749945Z                 'obj_weakref': None
2022-11-23T01:30:20.7750164Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7750214Z             }
2022-11-23T01:30:20.7750277Z             
2022-11-23T01:30:20.7750538Z [2022-11-23 01:29:24,407] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 474
2022-11-23T01:30:20.7750903Z [2022-11-23 01:29:25,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h6/ch6lfe5lq26pxafwvo5huoatc2zj4hdayshpmaenceh4rxbgmeip.py
2022-11-23T01:30:20.7751194Z [2022-11-23 01:29:25,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 474
2022-11-23T01:30:20.7751200Z 
2022-11-23T01:30:20.7751291Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7751361Z import torch
2022-11-23T01:30:20.7751428Z import random
2022-11-23T01:30:20.7751532Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7751652Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7751657Z 
2022-11-23T01:30:20.7751733Z aten = torch.ops.aten
2022-11-23T01:30:20.7751867Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7751959Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7751964Z 
2022-11-23T01:30:20.7751968Z 
2022-11-23T01:30:20.7752103Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7752307Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7752428Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7752517Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:20.7752613Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7752672Z {
2022-11-23T01:30:20.7752771Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7752833Z     {
2022-11-23T01:30:20.7752911Z         #pragma omp for 
2022-11-23T01:30:20.7752992Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7753044Z         {
2022-11-23T01:30:20.7753105Z             {
2022-11-23T01:30:20.7753168Z                 {
2022-11-23T01:30:20.7753257Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.7753346Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7753449Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:20.7753536Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.7753609Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.7753671Z                 }
2022-11-23T01:30:20.7753735Z             }
2022-11-23T01:30:20.7753884Z         }
2022-11-23T01:30:20.7753947Z     }
2022-11-23T01:30:20.7754005Z }
2022-11-23T01:30:20.7754072Z ''')
2022-11-23T01:30:20.7754089Z 
2022-11-23T01:30:20.7754093Z 
2022-11-23T01:30:20.7754172Z async_compile.wait(globals())
2022-11-23T01:30:20.7754243Z del async_compile
2022-11-23T01:30:20.7754247Z 
2022-11-23T01:30:20.7754316Z def call(args):
2022-11-23T01:30:20.7754389Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7754461Z     args.clear()
2022-11-23T01:30:20.7754655Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7754820Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7754875Z     del arg0_1
2022-11-23T01:30:20.7754944Z     del arg1_1
2022-11-23T01:30:20.7755014Z     return (buf0, )
2022-11-23T01:30:20.7755021Z 
2022-11-23T01:30:20.7755026Z 
2022-11-23T01:30:20.7755100Z if __name__ == "__main__":
2022-11-23T01:30:20.7755212Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7755331Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7755524Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7755747Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.7755852Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7755857Z 
2022-11-23T01:30:20.7755922Z ok (1.399s)
2022-11-23T01:30:20.7756274Z   test_cpu_broadcast3_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:25,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7756590Z [2022-11-23 01:29:25,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7756838Z [2022-11-23 01:29:25,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7757091Z [2022-11-23 01:29:25,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7757372Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7757690Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7758032Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7758351Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7758717Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7758810Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7758900Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7758974Z               4 BINARY_ADD
2022-11-23T01:30:20.7759064Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7759138Z               8 RETURN_VALUE
2022-11-23T01:30:20.7759197Z  
2022-11-23T01:30:20.7759203Z 
2022-11-23T01:30:20.7759513Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7759707Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7759940Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7760209Z [2022-11-23 01:29:25,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7760448Z [2022-11-23 01:29:25,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7760692Z [2022-11-23 01:29:25,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7761077Z [2022-11-23 01:29:25,797] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7761318Z [2022-11-23 01:29:25,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7761546Z [2022-11-23 01:29:25,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7761795Z [2022-11-23 01:29:25,798] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7762032Z [2022-11-23 01:29:25,801] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7762217Z [2022-11-23 01:29:25,802] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7762349Z  __compiled_fn_483 <eval_with_key>.3717 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7762465Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7762553Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7762727Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7762821Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7762826Z 
2022-11-23T01:30:20.7763146Z [2022-11-23 01:29:25,802] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7763227Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7763315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7763428Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7763518Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7763600Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7763690Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7763763Z              12 RETURN_VALUE
2022-11-23T01:30:20.7763768Z 
2022-11-23T01:30:20.7763830Z  
2022-11-23T01:30:20.7764138Z [2022-11-23 01:29:25,802] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7764246Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_483)
2022-11-23T01:30:20.7764333Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7764420Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7764495Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7764580Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7764665Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7764730Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7764814Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7764915Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7765014Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7765106Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7765180Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7765266Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7765327Z              26 RETURN_VALUE
2022-11-23T01:30:20.7765344Z 
2022-11-23T01:30:20.7765392Z  
2022-11-23T01:30:20.7765573Z [2022-11-23 01:29:25,803] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7765640Z  - 
2022-11-23T01:30:20.7765756Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7765819Z             {
2022-11-23T01:30:20.7765955Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7766139Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7766248Z                 'obj_weakref': None
2022-11-23T01:30:20.7766470Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7766532Z             }
2022-11-23T01:30:20.7766594Z             
2022-11-23T01:30:20.7766660Z  - 
2022-11-23T01:30:20.7766785Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7766835Z             {
2022-11-23T01:30:20.7766975Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7767078Z                 'code': None,
2022-11-23T01:30:20.7767288Z                 'obj_weakref': <weakref at 0x7ff59c13a7a0; to 'Tensor' at 0x7ff58fd28e50>
2022-11-23T01:30:20.7767538Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7767600Z             }
2022-11-23T01:30:20.7767661Z             
2022-11-23T01:30:20.7767727Z  - 
2022-11-23T01:30:20.7767836Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7767897Z             {
2022-11-23T01:30:20.7768037Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7768143Z                 'code': None,
2022-11-23T01:30:20.7768352Z                 'obj_weakref': <weakref at 0x7ff58fc4e610; to 'Tensor' at 0x7ff58fd2bdd0>
2022-11-23T01:30:20.7768641Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7768705Z             }
2022-11-23T01:30:20.7768756Z             
2022-11-23T01:30:20.7768823Z  - 
2022-11-23T01:30:20.7768954Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7769016Z             {
2022-11-23T01:30:20.7769147Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7769316Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7769433Z                 'obj_weakref': None
2022-11-23T01:30:20.7769650Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7769741Z             }
2022-11-23T01:30:20.7769801Z             
2022-11-23T01:30:20.7769872Z  - 
2022-11-23T01:30:20.7769990Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7770051Z             {
2022-11-23T01:30:20.7770174Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7770389Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7770507Z                 'obj_weakref': None
2022-11-23T01:30:20.7770725Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7770785Z             }
2022-11-23T01:30:20.7770846Z             
2022-11-23T01:30:20.7771105Z [2022-11-23 01:29:25,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 475
2022-11-23T01:30:20.7771471Z [2022-11-23 01:29:27,183] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/35/c35l42hexjecejcllxxtgaqdxlcwn2veeuxi3qhmqiretsjhvx7w.py
2022-11-23T01:30:20.7771723Z [2022-11-23 01:29:27,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 475
2022-11-23T01:30:20.7771740Z 
2022-11-23T01:30:20.7771821Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7771888Z import torch
2022-11-23T01:30:20.7771959Z import random
2022-11-23T01:30:20.7772074Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7772191Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7772197Z 
2022-11-23T01:30:20.7772271Z aten = torch.ops.aten
2022-11-23T01:30:20.7772406Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7772484Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7772489Z 
2022-11-23T01:30:20.7772503Z 
2022-11-23T01:30:20.7772623Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7772824Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7772944Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7773044Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7773140Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7773198Z {
2022-11-23T01:30:20.7773293Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7773344Z     {
2022-11-23T01:30:20.7773418Z         #pragma omp for 
2022-11-23T01:30:20.7773499Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7773561Z         {
2022-11-23T01:30:20.7773637Z             #pragma GCC ivdep
2022-11-23T01:30:20.7773721Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7773772Z             {
2022-11-23T01:30:20.7773833Z                 {
2022-11-23T01:30:20.7773897Z                     {
2022-11-23T01:30:20.7773989Z                         auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.7774092Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:30:20.7774185Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7774279Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7774333Z                     }
2022-11-23T01:30:20.7774395Z                 }
2022-11-23T01:30:20.7774455Z             }
2022-11-23T01:30:20.7774516Z         }
2022-11-23T01:30:20.7774575Z     }
2022-11-23T01:30:20.7774661Z }
2022-11-23T01:30:20.7774739Z ''')
2022-11-23T01:30:20.7774745Z 
2022-11-23T01:30:20.7774749Z 
2022-11-23T01:30:20.7774824Z async_compile.wait(globals())
2022-11-23T01:30:20.7774894Z del async_compile
2022-11-23T01:30:20.7774899Z 
2022-11-23T01:30:20.7774967Z def call(args):
2022-11-23T01:30:20.7775043Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7775112Z     args.clear()
2022-11-23T01:30:20.7775310Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7775471Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7775570Z     del arg0_1
2022-11-23T01:30:20.7775624Z     del arg1_1
2022-11-23T01:30:20.7775693Z     return (buf0, )
2022-11-23T01:30:20.7775698Z 
2022-11-23T01:30:20.7775702Z 
2022-11-23T01:30:20.7775778Z if __name__ == "__main__":
2022-11-23T01:30:20.7775891Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7776012Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7776202Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7776400Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7776629Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7776646Z 
2022-11-23T01:30:20.7776700Z ok (1.393s)
2022-11-23T01:30:20.7777051Z   test_cpu_broadcast3_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:27,188] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7777369Z [2022-11-23 01:29:27,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7777589Z [2022-11-23 01:29:27,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7777843Z [2022-11-23 01:29:27,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7778120Z [2022-11-23 01:29:27,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7778438Z [2022-11-23 01:29:27,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7778782Z [2022-11-23 01:29:27,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7779100Z [2022-11-23 01:29:27,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7779480Z [2022-11-23 01:29:27,189] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7779559Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7779650Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7779722Z               4 BINARY_ADD
2022-11-23T01:30:20.7779810Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7779885Z               8 RETURN_VALUE
2022-11-23T01:30:20.7779945Z  
2022-11-23T01:30:20.7779950Z 
2022-11-23T01:30:20.7780259Z [2022-11-23 01:29:27,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7780465Z [2022-11-23 01:29:27,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7780691Z [2022-11-23 01:29:27,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7780962Z [2022-11-23 01:29:27,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7781247Z [2022-11-23 01:29:27,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7781493Z [2022-11-23 01:29:27,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7781877Z [2022-11-23 01:29:27,190] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7782120Z [2022-11-23 01:29:27,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7782351Z [2022-11-23 01:29:27,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7782644Z [2022-11-23 01:29:27,191] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7782890Z [2022-11-23 01:29:27,194] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7783067Z [2022-11-23 01:29:27,194] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7783200Z  __compiled_fn_484 <eval_with_key>.3723 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7783289Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7783373Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7783549Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7783640Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7783646Z 
2022-11-23T01:30:20.7783966Z [2022-11-23 01:29:27,195] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7784062Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7784140Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7784224Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7784318Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7784405Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7784496Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7784573Z              12 RETURN_VALUE
2022-11-23T01:30:20.7784578Z 
2022-11-23T01:30:20.7784640Z  
2022-11-23T01:30:20.7784963Z [2022-11-23 01:29:27,195] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7785059Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_484)
2022-11-23T01:30:20.7785149Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7785240Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7785316Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7785407Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7785495Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7785570Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7785645Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7785747Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7785847Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7785935Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7786011Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7786097Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7786172Z              26 RETURN_VALUE
2022-11-23T01:30:20.7786177Z 
2022-11-23T01:30:20.7786223Z  
2022-11-23T01:30:20.7786405Z [2022-11-23 01:29:27,196] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7786475Z  - 
2022-11-23T01:30:20.7786593Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7786660Z             {
2022-11-23T01:30:20.7786801Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7786988Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7787095Z                 'obj_weakref': None
2022-11-23T01:30:20.7787347Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7787414Z             }
2022-11-23T01:30:20.7787476Z             
2022-11-23T01:30:20.7787544Z  - 
2022-11-23T01:30:20.7787666Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7787730Z             {
2022-11-23T01:30:20.7787860Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7787966Z                 'code': None,
2022-11-23T01:30:20.7788176Z                 'obj_weakref': <weakref at 0x7ff5a81bb560; to 'Tensor' at 0x7ff59c13a2f0>
2022-11-23T01:30:20.7788430Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7788531Z             }
2022-11-23T01:30:20.7788594Z             
2022-11-23T01:30:20.7788663Z  - 
2022-11-23T01:30:20.7788772Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7788835Z             {
2022-11-23T01:30:20.7788979Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7789087Z                 'code': None,
2022-11-23T01:30:20.7789299Z                 'obj_weakref': <weakref at 0x7ff57efe7a60; to 'Tensor' at 0x7ff58fd0af70>
2022-11-23T01:30:20.7789551Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7789616Z             }
2022-11-23T01:30:20.7789666Z             
2022-11-23T01:30:20.7789734Z  - 
2022-11-23T01:30:20.7789866Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7789927Z             {
2022-11-23T01:30:20.7790061Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7790229Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7790353Z                 'obj_weakref': None
2022-11-23T01:30:20.7790571Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7790635Z             }
2022-11-23T01:30:20.7790701Z             
2022-11-23T01:30:20.7790772Z  - 
2022-11-23T01:30:20.7790894Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7790955Z             {
2022-11-23T01:30:20.7791088Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7791290Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7791408Z                 'obj_weakref': None
2022-11-23T01:30:20.7791627Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7791688Z             }
2022-11-23T01:30:20.7791750Z             
2022-11-23T01:30:20.7792007Z [2022-11-23 01:29:27,200] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 476
2022-11-23T01:30:20.7792371Z [2022-11-23 01:29:27,209] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e2/ce2ejvqtj2sa5ta6dzlhzuvnosddbqvvcozrfv37p3qwjy2gcwf3.py
2022-11-23T01:30:20.7792629Z [2022-11-23 01:29:27,209] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 476
2022-11-23T01:30:20.7792636Z 
2022-11-23T01:30:20.7792717Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7792784Z import torch
2022-11-23T01:30:20.7792853Z import random
2022-11-23T01:30:20.7792967Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7793087Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7793092Z 
2022-11-23T01:30:20.7793167Z aten = torch.ops.aten
2022-11-23T01:30:20.7793298Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7793387Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7793392Z 
2022-11-23T01:30:20.7793396Z 
2022-11-23T01:30:20.7793517Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7793725Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7793915Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7794020Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7794183Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7794244Z {
2022-11-23T01:30:20.7794340Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7794388Z     {
2022-11-23T01:30:20.7794464Z         #pragma omp for 
2022-11-23T01:30:20.7794546Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.7794608Z         {
2022-11-23T01:30:20.7794735Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:30:20.7794865Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.7794949Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7795038Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7795117Z         }
2022-11-23T01:30:20.7795208Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7795290Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:30:20.7795354Z         {
2022-11-23T01:30:20.7795433Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:30:20.7795514Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7795585Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7795663Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7795723Z         }
2022-11-23T01:30:20.7795782Z     }
2022-11-23T01:30:20.7795840Z }
2022-11-23T01:30:20.7795918Z ''')
2022-11-23T01:30:20.7795923Z 
2022-11-23T01:30:20.7795927Z 
2022-11-23T01:30:20.7796014Z async_compile.wait(globals())
2022-11-23T01:30:20.7796073Z del async_compile
2022-11-23T01:30:20.7796089Z 
2022-11-23T01:30:20.7796146Z def call(args):
2022-11-23T01:30:20.7796219Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7796288Z     args.clear()
2022-11-23T01:30:20.7796492Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7796656Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7796723Z     del arg0_1
2022-11-23T01:30:20.7796788Z     del arg1_1
2022-11-23T01:30:20.7796846Z     return (buf0, )
2022-11-23T01:30:20.7796851Z 
2022-11-23T01:30:20.7796857Z 
2022-11-23T01:30:20.7796932Z if __name__ == "__main__":
2022-11-23T01:30:20.7797044Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7797165Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7797354Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7797551Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7797662Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7797668Z 
2022-11-23T01:30:20.7797733Z ok (0.025s)
2022-11-23T01:30:20.7798067Z   test_cpu_dense_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7798384Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7798602Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7798850Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7799123Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7799436Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7799779Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7800101Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7800514Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7800606Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7800683Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7800754Z               4 BINARY_ADD
2022-11-23T01:30:20.7800841Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7800915Z               8 RETURN_VALUE
2022-11-23T01:30:20.7800975Z  
2022-11-23T01:30:20.7800980Z 
2022-11-23T01:30:20.7801290Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7801524Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7801758Z [2022-11-23 01:29:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7802020Z [2022-11-23 01:29:27,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7802257Z [2022-11-23 01:29:27,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7802499Z [2022-11-23 01:29:27,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7802882Z [2022-11-23 01:29:27,215] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7803123Z [2022-11-23 01:29:27,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7803356Z [2022-11-23 01:29:27,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7803607Z [2022-11-23 01:29:27,215] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7803855Z [2022-11-23 01:29:27,218] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7804041Z [2022-11-23 01:29:27,218] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7804160Z  __compiled_fn_485 <eval_with_key>.3729 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7804247Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7804333Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7804510Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7804602Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7804608Z 
2022-11-23T01:30:20.7804932Z [2022-11-23 01:29:27,219] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7805022Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7805112Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7805187Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7805279Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7805362Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7805448Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7805522Z              12 RETURN_VALUE
2022-11-23T01:30:20.7805527Z 
2022-11-23T01:30:20.7805585Z  
2022-11-23T01:30:20.7805907Z [2022-11-23 01:29:27,219] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7806014Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_485)
2022-11-23T01:30:20.7806093Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7806179Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7806254Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7806339Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7806424Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7806525Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7806612Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7806702Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7806802Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7806888Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7806962Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7807047Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7807119Z              26 RETURN_VALUE
2022-11-23T01:30:20.7807124Z 
2022-11-23T01:30:20.7807183Z  
2022-11-23T01:30:20.7807379Z [2022-11-23 01:29:27,219] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7807446Z  - 
2022-11-23T01:30:20.7807564Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7807626Z             {
2022-11-23T01:30:20.7807763Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7807949Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7808067Z                 'obj_weakref': None
2022-11-23T01:30:20.7808278Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7808341Z             }
2022-11-23T01:30:20.7808403Z             
2022-11-23T01:30:20.7808471Z  - 
2022-11-23T01:30:20.7808591Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7808652Z             {
2022-11-23T01:30:20.7808792Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7808884Z                 'code': None,
2022-11-23T01:30:20.7809095Z                 'obj_weakref': <weakref at 0x7ff58f9a9a30; to 'Tensor' at 0x7ff58fd2bdd0>
2022-11-23T01:30:20.7809349Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7809412Z             }
2022-11-23T01:30:20.7809477Z             
2022-11-23T01:30:20.7809544Z  - 
2022-11-23T01:30:20.7809666Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7809716Z             {
2022-11-23T01:30:20.7809858Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7809962Z                 'code': None,
2022-11-23T01:30:20.7810171Z                 'obj_weakref': <weakref at 0x7ff57ee34f40; to 'Tensor' at 0x7ff58fc4fd30>
2022-11-23T01:30:20.7810420Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7810482Z             }
2022-11-23T01:30:20.7810543Z             
2022-11-23T01:30:20.7810599Z  - 
2022-11-23T01:30:20.7810727Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7810791Z             {
2022-11-23T01:30:20.7810922Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7811089Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7811203Z                 'obj_weakref': None
2022-11-23T01:30:20.7811429Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7811480Z             }
2022-11-23T01:30:20.7811541Z             
2022-11-23T01:30:20.7811608Z  - 
2022-11-23T01:30:20.7811728Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7811789Z             {
2022-11-23T01:30:20.7811921Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7812135Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7812239Z                 'obj_weakref': None
2022-11-23T01:30:20.7812456Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7812520Z             }
2022-11-23T01:30:20.7812581Z             
2022-11-23T01:30:20.7812838Z [2022-11-23 01:29:27,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 477
2022-11-23T01:30:20.7813249Z [2022-11-23 01:29:28,615] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qv/cqvamehnsijipnh2ukdrv6rfc6bu5yryozklwqswjn7gbmbzxa5e.py
2022-11-23T01:30:20.7813512Z [2022-11-23 01:29:28,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 477
2022-11-23T01:30:20.7813518Z 
2022-11-23T01:30:20.7813609Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7813665Z import torch
2022-11-23T01:30:20.7813732Z import random
2022-11-23T01:30:20.7813844Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7813963Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7813968Z 
2022-11-23T01:30:20.7814043Z aten = torch.ops.aten
2022-11-23T01:30:20.7814174Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7814292Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7814297Z 
2022-11-23T01:30:20.7814301Z 
2022-11-23T01:30:20.7814432Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7814628Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7814747Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7814848Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7814948Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7815009Z {
2022-11-23T01:30:20.7815107Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7815168Z     {
2022-11-23T01:30:20.7815233Z         #pragma omp for 
2022-11-23T01:30:20.7815314Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7815376Z         {
2022-11-23T01:30:20.7815458Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.7815522Z             {
2022-11-23T01:30:20.7815662Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7815798Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:30:20.7815884Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7815975Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7816039Z             }
2022-11-23T01:30:20.7816130Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.7816215Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.7816275Z             {
2022-11-23T01:30:20.7816369Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.7816595Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.7816668Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7816760Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7816820Z             }
2022-11-23T01:30:20.7816883Z         }
2022-11-23T01:30:20.7816944Z     }
2022-11-23T01:30:20.7817006Z }
2022-11-23T01:30:20.7817074Z ''')
2022-11-23T01:30:20.7817091Z 
2022-11-23T01:30:20.7817096Z 
2022-11-23T01:30:20.7817173Z async_compile.wait(globals())
2022-11-23T01:30:20.7817249Z del async_compile
2022-11-23T01:30:20.7817255Z 
2022-11-23T01:30:20.7817325Z def call(args):
2022-11-23T01:30:20.7817399Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7817471Z     args.clear()
2022-11-23T01:30:20.7817669Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7817832Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7817887Z     del arg0_1
2022-11-23T01:30:20.7817955Z     del arg1_1
2022-11-23T01:30:20.7818026Z     return (buf0, )
2022-11-23T01:30:20.7818031Z 
2022-11-23T01:30:20.7818035Z 
2022-11-23T01:30:20.7818109Z if __name__ == "__main__":
2022-11-23T01:30:20.7818221Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7818339Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7818540Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7818733Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7818835Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7818840Z 
2022-11-23T01:30:20.7818952Z ok (1.407s)
2022-11-23T01:30:20.7819298Z   test_cpu_dense_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:28,620] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7819613Z [2022-11-23 01:29:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7819830Z [2022-11-23 01:29:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7820082Z [2022-11-23 01:29:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7820394Z [2022-11-23 01:29:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7820715Z [2022-11-23 01:29:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7821059Z [2022-11-23 01:29:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7821379Z [2022-11-23 01:29:28,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7821749Z [2022-11-23 01:29:28,621] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7821838Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7821929Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7822002Z               4 BINARY_ADD
2022-11-23T01:30:20.7822088Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7822164Z               8 RETURN_VALUE
2022-11-23T01:30:20.7822225Z  
2022-11-23T01:30:20.7822230Z 
2022-11-23T01:30:20.7822545Z [2022-11-23 01:29:28,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7822742Z [2022-11-23 01:29:28,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7822977Z [2022-11-23 01:29:28,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7823248Z [2022-11-23 01:29:28,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7823488Z [2022-11-23 01:29:28,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7823735Z [2022-11-23 01:29:28,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7824124Z [2022-11-23 01:29:28,622] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7824367Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7824600Z [2022-11-23 01:29:28,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7824853Z [2022-11-23 01:29:28,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7825088Z [2022-11-23 01:29:28,626] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7825279Z [2022-11-23 01:29:28,626] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7825415Z  __compiled_fn_486 <eval_with_key>.3735 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7825505Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7825593Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7825770Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7825896Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7825902Z 
2022-11-23T01:30:20.7826230Z [2022-11-23 01:29:28,626] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7826311Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7826405Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7826492Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7826586Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7826672Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7826788Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7826865Z              12 RETURN_VALUE
2022-11-23T01:30:20.7826870Z 
2022-11-23T01:30:20.7826932Z  
2022-11-23T01:30:20.7827241Z [2022-11-23 01:29:28,627] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7827350Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_486)
2022-11-23T01:30:20.7827443Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7827534Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7827611Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7827699Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7827787Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7827849Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7827938Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7828041Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7828145Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7828234Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7828311Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7828398Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7828460Z              26 RETURN_VALUE
2022-11-23T01:30:20.7828480Z 
2022-11-23T01:30:20.7828528Z  
2022-11-23T01:30:20.7828706Z [2022-11-23 01:29:28,627] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7828777Z  - 
2022-11-23T01:30:20.7828896Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7828961Z             {
2022-11-23T01:30:20.7829100Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7829287Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7829392Z                 'obj_weakref': None
2022-11-23T01:30:20.7829614Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7829680Z             }
2022-11-23T01:30:20.7829740Z             
2022-11-23T01:30:20.7829809Z  - 
2022-11-23T01:30:20.7829931Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7829980Z             {
2022-11-23T01:30:20.7830122Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7830231Z                 'code': None,
2022-11-23T01:30:20.7830443Z                 'obj_weakref': <weakref at 0x7ff57eea9a30; to 'Tensor' at 0x7ff58ff16070>
2022-11-23T01:30:20.7830692Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7830755Z             }
2022-11-23T01:30:20.7830819Z             
2022-11-23T01:30:20.7830884Z  - 
2022-11-23T01:30:20.7830993Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7831053Z             {
2022-11-23T01:30:20.7831193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7831297Z                 'code': None,
2022-11-23T01:30:20.7831508Z                 'obj_weakref': <weakref at 0x7ff58ffd23e0; to 'Tensor' at 0x7ff57eea8720>
2022-11-23T01:30:20.7831760Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7831823Z             }
2022-11-23T01:30:20.7831873Z             
2022-11-23T01:30:20.7831939Z  - 
2022-11-23T01:30:20.7832096Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7832158Z             {
2022-11-23T01:30:20.7832289Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7832457Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7832575Z                 'obj_weakref': None
2022-11-23T01:30:20.7832792Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7832853Z             }
2022-11-23T01:30:20.7832913Z             
2022-11-23T01:30:20.7832980Z  - 
2022-11-23T01:30:20.7833099Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7833190Z             {
2022-11-23T01:30:20.7833311Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7833522Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7833638Z                 'obj_weakref': None
2022-11-23T01:30:20.7833929Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7833993Z             }
2022-11-23T01:30:20.7834058Z             
2022-11-23T01:30:20.7834320Z [2022-11-23 01:29:28,632] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 478
2022-11-23T01:30:20.7834691Z [2022-11-23 01:29:30,001] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bv/cbvzpjlaflbsrz6ipv7ep2apysgx5auu56yl2m4qav5rnjdkgrnd.py
2022-11-23T01:30:20.7834941Z [2022-11-23 01:29:30,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 478
2022-11-23T01:30:20.7834960Z 
2022-11-23T01:30:20.7835041Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7835108Z import torch
2022-11-23T01:30:20.7835176Z import random
2022-11-23T01:30:20.7835289Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7835408Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7835413Z 
2022-11-23T01:30:20.7835492Z aten = torch.ops.aten
2022-11-23T01:30:20.7835624Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7835704Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7835709Z 
2022-11-23T01:30:20.7835724Z 
2022-11-23T01:30:20.7835845Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7836048Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7836167Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7836268Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7836366Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7836427Z {
2022-11-23T01:30:20.7836526Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7836575Z     {
2022-11-23T01:30:20.7836651Z         #pragma omp for 
2022-11-23T01:30:20.7836731Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7836793Z         {
2022-11-23T01:30:20.7836875Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.7836936Z             {
2022-11-23T01:30:20.7837077Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7837190Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:30:20.7837276Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7837376Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.7837439Z             }
2022-11-23T01:30:20.7837529Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.7837611Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.7837673Z             {
2022-11-23T01:30:20.7837755Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.7837838Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7837921Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7838012Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7838072Z             }
2022-11-23T01:30:20.7838166Z         }
2022-11-23T01:30:20.7838228Z     }
2022-11-23T01:30:20.7838274Z }
2022-11-23T01:30:20.7838352Z ''')
2022-11-23T01:30:20.7838357Z 
2022-11-23T01:30:20.7838361Z 
2022-11-23T01:30:20.7838449Z async_compile.wait(globals())
2022-11-23T01:30:20.7838521Z del async_compile
2022-11-23T01:30:20.7838526Z 
2022-11-23T01:30:20.7838594Z def call(args):
2022-11-23T01:30:20.7838668Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7838737Z     args.clear()
2022-11-23T01:30:20.7838933Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7839096Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7839192Z     del arg0_1
2022-11-23T01:30:20.7839258Z     del arg1_1
2022-11-23T01:30:20.7839328Z     return (buf0, )
2022-11-23T01:30:20.7839333Z 
2022-11-23T01:30:20.7839337Z 
2022-11-23T01:30:20.7839411Z if __name__ == "__main__":
2022-11-23T01:30:20.7839524Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7839644Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7839832Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7840034Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7840151Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7840156Z 
2022-11-23T01:30:20.7840221Z ok (1.386s)
2022-11-23T01:30:20.7840566Z   test_cpu_dense_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7840880Z [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7841093Z [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7841345Z [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7841623Z [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7841928Z [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7842270Z [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7842590Z [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7842972Z [2022-11-23 01:29:30,007] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7843064Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7843153Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7843225Z               4 BINARY_ADD
2022-11-23T01:30:20.7843312Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7843386Z               8 RETURN_VALUE
2022-11-23T01:30:20.7843433Z  
2022-11-23T01:30:20.7843438Z 
2022-11-23T01:30:20.7843747Z [2022-11-23 01:29:30,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7843953Z [2022-11-23 01:29:30,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7844190Z [2022-11-23 01:29:30,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7844461Z [2022-11-23 01:29:30,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7844724Z [2022-11-23 01:29:30,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7844969Z [2022-11-23 01:29:30,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7845353Z [2022-11-23 01:29:30,009] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7845594Z [2022-11-23 01:29:30,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7845812Z [2022-11-23 01:29:30,009] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7846092Z [2022-11-23 01:29:30,010] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7846339Z [2022-11-23 01:29:30,014] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7846527Z [2022-11-23 01:29:30,014] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7846659Z  __compiled_fn_487 <eval_with_key>.3741 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7846747Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7846830Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7847006Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7847087Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7847093Z 
2022-11-23T01:30:20.7847414Z [2022-11-23 01:29:30,014] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7847507Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7847598Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7847682Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7847773Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7847859Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7847946Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7848007Z              12 RETURN_VALUE
2022-11-23T01:30:20.7848012Z 
2022-11-23T01:30:20.7848072Z  
2022-11-23T01:30:20.7848390Z [2022-11-23 01:29:30,014] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7848498Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_487)
2022-11-23T01:30:20.7848587Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7848674Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7848751Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7848827Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7848913Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7848987Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7849074Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7849177Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7849278Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7849364Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7849440Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7849515Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7849587Z              26 RETURN_VALUE
2022-11-23T01:30:20.7849592Z 
2022-11-23T01:30:20.7849651Z  
2022-11-23T01:30:20.7849832Z [2022-11-23 01:29:30,015] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7849900Z  - 
2022-11-23T01:30:20.7850019Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7850082Z             {
2022-11-23T01:30:20.7850209Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7850392Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7850509Z                 'obj_weakref': None
2022-11-23T01:30:20.7850768Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7850833Z             }
2022-11-23T01:30:20.7850895Z             
2022-11-23T01:30:20.7850963Z  - 
2022-11-23T01:30:20.7851074Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7851136Z             {
2022-11-23T01:30:20.7851277Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7851383Z                 'code': None,
2022-11-23T01:30:20.7851589Z                 'obj_weakref': <weakref at 0x7ff57ff52980; to 'Tensor' at 0x7ff57ee81350>
2022-11-23T01:30:20.7851838Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7851929Z             }
2022-11-23T01:30:20.7851980Z             
2022-11-23T01:30:20.7852047Z  - 
2022-11-23T01:30:20.7852168Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7852229Z             {
2022-11-23T01:30:20.7852372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7852477Z                 'code': None,
2022-11-23T01:30:20.7852687Z                 'obj_weakref': <weakref at 0x7ff57ff52cf0; to 'Tensor' at 0x7ff58ffd37e0>
2022-11-23T01:30:20.7852927Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7852990Z             }
2022-11-23T01:30:20.7853052Z             
2022-11-23T01:30:20.7853119Z  - 
2022-11-23T01:30:20.7853251Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7853314Z             {
2022-11-23T01:30:20.7853445Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7853603Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7853719Z                 'obj_weakref': None
2022-11-23T01:30:20.7853949Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7854011Z             }
2022-11-23T01:30:20.7854073Z             
2022-11-23T01:30:20.7854140Z  - 
2022-11-23T01:30:20.7854260Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7854310Z             {
2022-11-23T01:30:20.7854443Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7854658Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7854774Z                 'obj_weakref': None
2022-11-23T01:30:20.7854992Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7855053Z             }
2022-11-23T01:30:20.7855115Z             
2022-11-23T01:30:20.7855364Z [2022-11-23 01:29:30,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 479
2022-11-23T01:30:20.7855728Z [2022-11-23 01:29:31,406] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3v/c3vkpe7xtxwedwnldl4y5e2efj57vgpsajff2lov2yxi3cktmqgp.py
2022-11-23T01:30:20.7855992Z [2022-11-23 01:29:31,407] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 479
2022-11-23T01:30:20.7855997Z 
2022-11-23T01:30:20.7856086Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7856152Z import torch
2022-11-23T01:30:20.7856221Z import random
2022-11-23T01:30:20.7856333Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7856576Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7856581Z 
2022-11-23T01:30:20.7856647Z aten = torch.ops.aten
2022-11-23T01:30:20.7856780Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7856871Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7856879Z 
2022-11-23T01:30:20.7856883Z 
2022-11-23T01:30:20.7857018Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7857221Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7857339Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7857501Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7857601Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7857650Z {
2022-11-23T01:30:20.7857747Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7857808Z     {
2022-11-23T01:30:20.7857885Z         #pragma omp for 
2022-11-23T01:30:20.7857968Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.7858030Z         {
2022-11-23T01:30:20.7858165Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7858273Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:30:20.7858392Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7858483Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7858545Z         }
2022-11-23T01:30:20.7858640Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7858721Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:30:20.7858783Z         {
2022-11-23T01:30:20.7858855Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7858935Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:30:20.7859020Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7859099Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7859159Z         }
2022-11-23T01:30:20.7859219Z     }
2022-11-23T01:30:20.7859277Z }
2022-11-23T01:30:20.7859343Z ''')
2022-11-23T01:30:20.7859348Z 
2022-11-23T01:30:20.7859352Z 
2022-11-23T01:30:20.7859439Z async_compile.wait(globals())
2022-11-23T01:30:20.7859511Z del async_compile
2022-11-23T01:30:20.7859516Z 
2022-11-23T01:30:20.7859583Z def call(args):
2022-11-23T01:30:20.7859658Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7859729Z     args.clear()
2022-11-23T01:30:20.7859928Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7860078Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7860151Z     del arg0_1
2022-11-23T01:30:20.7860219Z     del arg1_1
2022-11-23T01:30:20.7860295Z     return (buf0, )
2022-11-23T01:30:20.7860300Z 
2022-11-23T01:30:20.7860304Z 
2022-11-23T01:30:20.7860379Z if __name__ == "__main__":
2022-11-23T01:30:20.7860492Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7860614Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7860817Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7860997Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7861113Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7861120Z 
2022-11-23T01:30:20.7861187Z ok (1.405s)
2022-11-23T01:30:20.7861523Z   test_cpu_dense_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7861839Z [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7862054Z [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7862306Z [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7862584Z [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7862903Z [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7863238Z [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7863560Z [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7863968Z [2022-11-23 01:29:31,412] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7864062Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7864154Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7864227Z               4 BINARY_ADD
2022-11-23T01:30:20.7864316Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7864391Z               8 RETURN_VALUE
2022-11-23T01:30:20.7864453Z  
2022-11-23T01:30:20.7864458Z 
2022-11-23T01:30:20.7864758Z [2022-11-23 01:29:31,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7864995Z [2022-11-23 01:29:31,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7865233Z [2022-11-23 01:29:31,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7865506Z [2022-11-23 01:29:31,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7865750Z [2022-11-23 01:29:31,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7865994Z [2022-11-23 01:29:31,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7866380Z [2022-11-23 01:29:31,414] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7866627Z [2022-11-23 01:29:31,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7866863Z [2022-11-23 01:29:31,414] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7867106Z [2022-11-23 01:29:31,415] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7867355Z [2022-11-23 01:29:31,417] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7867543Z [2022-11-23 01:29:31,418] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7867676Z  __compiled_fn_488 <eval_with_key>.3747 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7867769Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7867854Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7868032Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7868130Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7868135Z 
2022-11-23T01:30:20.7868461Z [2022-11-23 01:29:31,418] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7868541Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7868632Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7868718Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7868811Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7868896Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7868984Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7869059Z              12 RETURN_VALUE
2022-11-23T01:30:20.7869064Z 
2022-11-23T01:30:20.7869111Z  
2022-11-23T01:30:20.7869431Z [2022-11-23 01:29:31,418] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7869540Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_488)
2022-11-23T01:30:20.7869632Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7869719Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7869794Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7869877Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7869988Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7870052Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7870137Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7870237Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7870339Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7870428Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7870503Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7870587Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7870650Z              26 RETURN_VALUE
2022-11-23T01:30:20.7870681Z 
2022-11-23T01:30:20.7870739Z  
2022-11-23T01:30:20.7870919Z [2022-11-23 01:29:31,419] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7870987Z  - 
2022-11-23T01:30:20.7871107Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7871169Z             {
2022-11-23T01:30:20.7871307Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7871484Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7871602Z                 'obj_weakref': None
2022-11-23T01:30:20.7871824Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7871887Z             }
2022-11-23T01:30:20.7871949Z             
2022-11-23T01:30:20.7872016Z  - 
2022-11-23T01:30:20.7872136Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7872186Z             {
2022-11-23T01:30:20.7872326Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7872432Z                 'code': None,
2022-11-23T01:30:20.7872648Z                 'obj_weakref': <weakref at 0x7ff57efe6bb0; to 'Tensor' at 0x7ff57eea8e50>
2022-11-23T01:30:20.7872897Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7872960Z             }
2022-11-23T01:30:20.7873020Z             
2022-11-23T01:30:20.7873079Z  - 
2022-11-23T01:30:20.7873200Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7873262Z             {
2022-11-23T01:30:20.7873403Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7873505Z                 'code': None,
2022-11-23T01:30:20.7873714Z                 'obj_weakref': <weakref at 0x7ff57efe7ab0; to 'Tensor' at 0x7ff58f9ab100>
2022-11-23T01:30:20.7874040Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7874091Z             }
2022-11-23T01:30:20.7874153Z             
2022-11-23T01:30:20.7874226Z  - 
2022-11-23T01:30:20.7874356Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7874417Z             {
2022-11-23T01:30:20.7874550Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7874717Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7874824Z                 'obj_weakref': None
2022-11-23T01:30:20.7875051Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7875115Z             }
2022-11-23T01:30:20.7875177Z             
2022-11-23T01:30:20.7875247Z  - 
2022-11-23T01:30:20.7875366Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7875427Z             {
2022-11-23T01:30:20.7875549Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7875763Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7875881Z                 'obj_weakref': None
2022-11-23T01:30:20.7876098Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7876161Z             }
2022-11-23T01:30:20.7876222Z             
2022-11-23T01:30:20.7876481Z [2022-11-23 01:29:31,423] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 480
2022-11-23T01:30:20.7876871Z [2022-11-23 01:29:32,804] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfugxu76ojxknwk3lbvaorpuv7nbssrtlz3jsom3uoscd2f4oqtq.py
2022-11-23T01:30:20.7877134Z [2022-11-23 01:29:32,805] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 480
2022-11-23T01:30:20.7877139Z 
2022-11-23T01:30:20.7877229Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7877295Z import torch
2022-11-23T01:30:20.7877365Z import random
2022-11-23T01:30:20.7877477Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7877595Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7877600Z 
2022-11-23T01:30:20.7877705Z aten = torch.ops.aten
2022-11-23T01:30:20.7877826Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7877916Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7877921Z 
2022-11-23T01:30:20.7877926Z 
2022-11-23T01:30:20.7878058Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7878264Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7878383Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7878485Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7878584Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7878644Z {
2022-11-23T01:30:20.7878729Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7878789Z     {
2022-11-23T01:30:20.7878865Z         #pragma omp for 
2022-11-23T01:30:20.7878946Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.7879007Z         {
2022-11-23T01:30:20.7879144Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.7879271Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.7879344Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7879431Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.7879495Z         }
2022-11-23T01:30:20.7879588Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.7879672Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:30:20.7879732Z         {
2022-11-23T01:30:20.7879813Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7879881Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.7879960Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7880036Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.7880097Z         }
2022-11-23T01:30:20.7880156Z     }
2022-11-23T01:30:20.7880213Z }
2022-11-23T01:30:20.7880290Z ''')
2022-11-23T01:30:20.7880295Z 
2022-11-23T01:30:20.7880299Z 
2022-11-23T01:30:20.7880375Z async_compile.wait(globals())
2022-11-23T01:30:20.7880448Z del async_compile
2022-11-23T01:30:20.7880453Z 
2022-11-23T01:30:20.7880520Z def call(args):
2022-11-23T01:30:20.7880595Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7880664Z     args.clear()
2022-11-23T01:30:20.7880864Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7881026Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7881083Z     del arg0_1
2022-11-23T01:30:20.7881147Z     del arg1_1
2022-11-23T01:30:20.7881216Z     return (buf0, )
2022-11-23T01:30:20.7881221Z 
2022-11-23T01:30:20.7881225Z 
2022-11-23T01:30:20.7881299Z if __name__ == "__main__":
2022-11-23T01:30:20.7881410Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7881529Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7881725Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7881921Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7882024Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7882039Z 
2022-11-23T01:30:20.7882092Z ok (1.398s)
2022-11-23T01:30:20.7882456Z   test_cpu_dense_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:32,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7882774Z [2022-11-23 01:29:32,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7882989Z [2022-11-23 01:29:32,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7883239Z [2022-11-23 01:29:32,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7883515Z [2022-11-23 01:29:32,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7883861Z [2022-11-23 01:29:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7884205Z [2022-11-23 01:29:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7884528Z [2022-11-23 01:29:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7884895Z [2022-11-23 01:29:32,810] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7884984Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7885072Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7885144Z               4 BINARY_ADD
2022-11-23T01:30:20.7885236Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7885310Z               8 RETURN_VALUE
2022-11-23T01:30:20.7885369Z  
2022-11-23T01:30:20.7885374Z 
2022-11-23T01:30:20.7885682Z [2022-11-23 01:29:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7885878Z [2022-11-23 01:29:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7886116Z [2022-11-23 01:29:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7886389Z [2022-11-23 01:29:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7886627Z [2022-11-23 01:29:32,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7886869Z [2022-11-23 01:29:32,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7887251Z [2022-11-23 01:29:32,811] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7887494Z [2022-11-23 01:29:32,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7887727Z [2022-11-23 01:29:32,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7887978Z [2022-11-23 01:29:32,812] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7888224Z [2022-11-23 01:29:32,815] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7888398Z [2022-11-23 01:29:32,815] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7888529Z  __compiled_fn_489 <eval_with_key>.3753 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7888618Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7888702Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7888875Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7888967Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7888972Z 
2022-11-23T01:30:20.7889319Z [2022-11-23 01:29:32,816] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7889412Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7889489Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7889574Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7889664Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7889748Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7889833Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7889908Z              12 RETURN_VALUE
2022-11-23T01:30:20.7889913Z 
2022-11-23T01:30:20.7890021Z  
2022-11-23T01:30:20.7890326Z [2022-11-23 01:29:32,816] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7890432Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_489)
2022-11-23T01:30:20.7890519Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7890609Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7890684Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7890771Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7890856Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7890930Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7891006Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7891106Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7891203Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7891290Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7891367Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7891452Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7891525Z              26 RETURN_VALUE
2022-11-23T01:30:20.7891531Z 
2022-11-23T01:30:20.7891579Z  
2022-11-23T01:30:20.7891759Z [2022-11-23 01:29:32,816] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7891830Z  - 
2022-11-23T01:30:20.7891949Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7892013Z             {
2022-11-23T01:30:20.7892151Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7892336Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7892442Z                 'obj_weakref': None
2022-11-23T01:30:20.7892663Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7892724Z             }
2022-11-23T01:30:20.7892785Z             
2022-11-23T01:30:20.7892851Z  - 
2022-11-23T01:30:20.7892976Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7893037Z             {
2022-11-23T01:30:20.7893167Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7893274Z                 'code': None,
2022-11-23T01:30:20.7893484Z                 'obj_weakref': <weakref at 0x7ff57ee367f0; to 'Tensor' at 0x7ff5a80d0900>
2022-11-23T01:30:20.7893737Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7893800Z             }
2022-11-23T01:30:20.7893860Z             
2022-11-23T01:30:20.7893926Z  - 
2022-11-23T01:30:20.7894036Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7894097Z             {
2022-11-23T01:30:20.7894237Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7894343Z                 'code': None,
2022-11-23T01:30:20.7894554Z                 'obj_weakref': <weakref at 0x7ff57ee34400; to 'Tensor' at 0x7ff58f9aa700>
2022-11-23T01:30:20.7894803Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7894866Z             }
2022-11-23T01:30:20.7894915Z             
2022-11-23T01:30:20.7894981Z  - 
2022-11-23T01:30:20.7895110Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7895171Z             {
2022-11-23T01:30:20.7895331Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7895500Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7895616Z                 'obj_weakref': None
2022-11-23T01:30:20.7895832Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7895894Z             }
2022-11-23T01:30:20.7895956Z             
2022-11-23T01:30:20.7896023Z  - 
2022-11-23T01:30:20.7896140Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7896203Z             {
2022-11-23T01:30:20.7896337Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7896699Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7896816Z                 'obj_weakref': None
2022-11-23T01:30:20.7897033Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7897097Z             }
2022-11-23T01:30:20.7897162Z             
2022-11-23T01:30:20.7897417Z [2022-11-23 01:29:32,821] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 481
2022-11-23T01:30:20.7897782Z [2022-11-23 01:29:34,194] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zg/czgaes66ak56j64ibldcp6panbygiajguswkxx3xh7rsoeao73wp.py
2022-11-23T01:30:20.7898047Z [2022-11-23 01:29:34,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 481
2022-11-23T01:30:20.7898053Z 
2022-11-23T01:30:20.7898134Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7898203Z import torch
2022-11-23T01:30:20.7898274Z import random
2022-11-23T01:30:20.7898387Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7898505Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7898510Z 
2022-11-23T01:30:20.7898585Z aten = torch.ops.aten
2022-11-23T01:30:20.7898719Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7898799Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7898816Z 
2022-11-23T01:30:20.7898821Z 
2022-11-23T01:30:20.7898940Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7899144Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7899262Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7899367Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:30:20.7899464Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.7899524Z {
2022-11-23T01:30:20.7899621Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7899672Z     {
2022-11-23T01:30:20.7899747Z         #pragma omp for 
2022-11-23T01:30:20.7899828Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:30:20.7899892Z         {
2022-11-23T01:30:20.7899956Z             {
2022-11-23T01:30:20.7900020Z                 {
2022-11-23T01:30:20.7900113Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.7900193Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:20.7900303Z                     auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.7900393Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.7900478Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.7900544Z                 }
2022-11-23T01:30:20.7900607Z             }
2022-11-23T01:30:20.7900670Z         }
2022-11-23T01:30:20.7900719Z     }
2022-11-23T01:30:20.7900778Z }
2022-11-23T01:30:20.7900855Z ''')
2022-11-23T01:30:20.7900860Z 
2022-11-23T01:30:20.7900864Z 
2022-11-23T01:30:20.7900954Z async_compile.wait(globals())
2022-11-23T01:30:20.7901029Z del async_compile
2022-11-23T01:30:20.7901034Z 
2022-11-23T01:30:20.7901105Z def call(args):
2022-11-23T01:30:20.7901181Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7901239Z     args.clear()
2022-11-23T01:30:20.7901439Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7901660Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7901728Z     del arg0_1
2022-11-23T01:30:20.7901796Z     del arg1_1
2022-11-23T01:30:20.7901867Z     return (buf0, )
2022-11-23T01:30:20.7901873Z 
2022-11-23T01:30:20.7901877Z 
2022-11-23T01:30:20.7901953Z if __name__ == "__main__":
2022-11-23T01:30:20.7902068Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7902178Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7902376Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7902575Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7902728Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7902733Z 
2022-11-23T01:30:20.7902800Z ok (1.389s)
2022-11-23T01:30:20.7903130Z   test_cpu_dense_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:34,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7903447Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7903666Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7903905Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7904183Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7904504Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7904850Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7905174Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7905552Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7905646Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7905737Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7905813Z               4 BINARY_ADD
2022-11-23T01:30:20.7905889Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7905969Z               8 RETURN_VALUE
2022-11-23T01:30:20.7906031Z  
2022-11-23T01:30:20.7906036Z 
2022-11-23T01:30:20.7906547Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7906763Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7907005Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7907278Z [2022-11-23 01:29:34,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7907521Z [2022-11-23 01:29:34,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7907764Z [2022-11-23 01:29:34,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7908136Z [2022-11-23 01:29:34,201] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7908380Z [2022-11-23 01:29:34,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7908645Z [2022-11-23 01:29:34,201] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7908901Z [2022-11-23 01:29:34,202] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7909149Z [2022-11-23 01:29:34,204] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7909336Z [2022-11-23 01:29:34,205] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7909471Z  __compiled_fn_490 <eval_with_key>.3759 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7909560Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7909674Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7909839Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7909932Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7909937Z 
2022-11-23T01:30:20.7910261Z [2022-11-23 01:29:34,205] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7910352Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7910445Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7910530Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7910621Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7910704Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7910779Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7910853Z              12 RETURN_VALUE
2022-11-23T01:30:20.7910858Z 
2022-11-23T01:30:20.7910916Z  
2022-11-23T01:30:20.7911236Z [2022-11-23 01:29:34,205] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7911342Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_490)
2022-11-23T01:30:20.7911430Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7911518Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7911583Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7911672Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7911756Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7911830Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7911917Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7912018Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7912118Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7912204Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7912269Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7912355Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7912427Z              26 RETURN_VALUE
2022-11-23T01:30:20.7912431Z 
2022-11-23T01:30:20.7912489Z  
2022-11-23T01:30:20.7912669Z [2022-11-23 01:29:34,206] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7912737Z  - 
2022-11-23T01:30:20.7912856Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7912907Z             {
2022-11-23T01:30:20.7913044Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7913228Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7913346Z                 'obj_weakref': None
2022-11-23T01:30:20.7913567Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7913630Z             }
2022-11-23T01:30:20.7913692Z             
2022-11-23T01:30:20.7913747Z  - 
2022-11-23T01:30:20.7913927Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7913993Z             {
2022-11-23T01:30:20.7914138Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7914242Z                 'code': None,
2022-11-23T01:30:20.7914454Z                 'obj_weakref': <weakref at 0x7ff58f9b7ec0; to 'Tensor' at 0x7ff59c18ed40>
2022-11-23T01:30:20.7914738Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7914789Z             }
2022-11-23T01:30:20.7914852Z             
2022-11-23T01:30:20.7914920Z  - 
2022-11-23T01:30:20.7915043Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7915105Z             {
2022-11-23T01:30:20.7915247Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7915354Z                 'code': None,
2022-11-23T01:30:20.7915551Z                 'obj_weakref': <weakref at 0x7ff57ff17970; to 'Tensor' at 0x7ff58ff16ac0>
2022-11-23T01:30:20.7915802Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7915893Z             }
2022-11-23T01:30:20.7915956Z             
2022-11-23T01:30:20.7916024Z  - 
2022-11-23T01:30:20.7916152Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7916213Z             {
2022-11-23T01:30:20.7916335Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7916506Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7916623Z                 'obj_weakref': None
2022-11-23T01:30:20.7916852Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7916914Z             }
2022-11-23T01:30:20.7916977Z             
2022-11-23T01:30:20.7917042Z  - 
2022-11-23T01:30:20.7917150Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7917211Z             {
2022-11-23T01:30:20.7917345Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7917562Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7917679Z                 'obj_weakref': None
2022-11-23T01:30:20.7917898Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7917960Z             }
2022-11-23T01:30:20.7918010Z             
2022-11-23T01:30:20.7918272Z [2022-11-23 01:29:34,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 482
2022-11-23T01:30:20.7918635Z [2022-11-23 01:29:35,610] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwt542gpulbk5vfe2hip3k7nj23prcjbuv7dujy3depqz7qbxq62.py
2022-11-23T01:30:20.7918898Z [2022-11-23 01:29:35,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 482
2022-11-23T01:30:20.7918906Z 
2022-11-23T01:30:20.7918999Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7919069Z import torch
2022-11-23T01:30:20.7919140Z import random
2022-11-23T01:30:20.7919252Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7919362Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7919367Z 
2022-11-23T01:30:20.7919443Z aten = torch.ops.aten
2022-11-23T01:30:20.7919576Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7919666Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7919674Z 
2022-11-23T01:30:20.7919678Z 
2022-11-23T01:30:20.7919808Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7920016Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7920132Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7920232Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:20.7920319Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7920378Z {
2022-11-23T01:30:20.7920473Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7920532Z     {
2022-11-23T01:30:20.7920608Z         #pragma omp for 
2022-11-23T01:30:20.7920688Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7920748Z         {
2022-11-23T01:30:20.7920813Z             #pragma GCC ivdep
2022-11-23T01:30:20.7920899Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7920961Z             {
2022-11-23T01:30:20.7921025Z                 {
2022-11-23T01:30:20.7921117Z                     {
2022-11-23T01:30:20.7921221Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.7921302Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.7921409Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:20.7921501Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.7921595Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.7921661Z                     }
2022-11-23T01:30:20.7921726Z                 }
2022-11-23T01:30:20.7921788Z             }
2022-11-23T01:30:20.7921837Z         }
2022-11-23T01:30:20.7921926Z     }
2022-11-23T01:30:20.7921985Z }
2022-11-23T01:30:20.7922062Z ''')
2022-11-23T01:30:20.7922067Z 
2022-11-23T01:30:20.7922071Z 
2022-11-23T01:30:20.7922158Z async_compile.wait(globals())
2022-11-23T01:30:20.7922227Z del async_compile
2022-11-23T01:30:20.7922232Z 
2022-11-23T01:30:20.7922300Z def call(args):
2022-11-23T01:30:20.7922374Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7922434Z     args.clear()
2022-11-23T01:30:20.7922632Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7922794Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7922859Z     del arg0_1
2022-11-23T01:30:20.7922924Z     del arg1_1
2022-11-23T01:30:20.7922992Z     return (buf0, )
2022-11-23T01:30:20.7922997Z 
2022-11-23T01:30:20.7923001Z 
2022-11-23T01:30:20.7923075Z if __name__ == "__main__":
2022-11-23T01:30:20.7923175Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7923297Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7923494Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7923686Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.7923798Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7923803Z 
2022-11-23T01:30:20.7923870Z ok (1.417s)
2022-11-23T01:30:20.7924204Z   test_cpu_dense_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:35,618] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7924519Z [2022-11-23 01:29:35,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7924734Z [2022-11-23 01:29:35,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7924972Z [2022-11-23 01:29:35,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7925246Z [2022-11-23 01:29:35,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7925564Z [2022-11-23 01:29:35,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7925910Z [2022-11-23 01:29:35,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7926228Z [2022-11-23 01:29:35,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7926607Z [2022-11-23 01:29:35,619] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7926697Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7926789Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7926860Z               4 BINARY_ADD
2022-11-23T01:30:20.7926936Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7927010Z               8 RETURN_VALUE
2022-11-23T01:30:20.7927069Z  
2022-11-23T01:30:20.7927074Z 
2022-11-23T01:30:20.7927411Z [2022-11-23 01:29:35,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7927620Z [2022-11-23 01:29:35,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7927857Z [2022-11-23 01:29:35,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7928131Z [2022-11-23 01:29:35,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7928370Z [2022-11-23 01:29:35,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7928640Z [2022-11-23 01:29:35,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7929015Z [2022-11-23 01:29:35,621] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7929257Z [2022-11-23 01:29:35,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7929487Z [2022-11-23 01:29:35,621] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7929739Z [2022-11-23 01:29:35,622] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7929983Z [2022-11-23 01:29:35,627] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7930169Z [2022-11-23 01:29:35,627] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7930303Z  __compiled_fn_491 <eval_with_key>.3765 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7930388Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7930473Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7930636Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7930732Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7930737Z 
2022-11-23T01:30:20.7931063Z [2022-11-23 01:29:35,628] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7931157Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7931246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7931331Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7931421Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7931494Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7931582Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7931656Z              12 RETURN_VALUE
2022-11-23T01:30:20.7931661Z 
2022-11-23T01:30:20.7931720Z  
2022-11-23T01:30:20.7932041Z [2022-11-23 01:29:35,628] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7932149Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_491)
2022-11-23T01:30:20.7932240Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7932330Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7932393Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7932479Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7932563Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7932637Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7932722Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7932823Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7932924Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7932999Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7933072Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7933158Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7933231Z              26 RETURN_VALUE
2022-11-23T01:30:20.7933263Z 
2022-11-23T01:30:20.7933324Z  
2022-11-23T01:30:20.7933505Z [2022-11-23 01:29:35,629] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7933574Z  - 
2022-11-23T01:30:20.7933680Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7933742Z             {
2022-11-23T01:30:20.7933879Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7934064Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7934181Z                 'obj_weakref': None
2022-11-23T01:30:20.7934400Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7934490Z             }
2022-11-23T01:30:20.7934541Z             
2022-11-23T01:30:20.7934607Z  - 
2022-11-23T01:30:20.7934728Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7934789Z             {
2022-11-23T01:30:20.7934929Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7935034Z                 'code': None,
2022-11-23T01:30:20.7935246Z                 'obj_weakref': <weakref at 0x7ff57ff53ce0; to 'Tensor' at 0x7ff57ee82020>
2022-11-23T01:30:20.7935498Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7935549Z             }
2022-11-23T01:30:20.7935610Z             
2022-11-23T01:30:20.7935676Z  - 
2022-11-23T01:30:20.7935798Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7935858Z             {
2022-11-23T01:30:20.7935998Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7936091Z                 'code': None,
2022-11-23T01:30:20.7936302Z                 'obj_weakref': <weakref at 0x7ff57ed858a0; to 'Tensor' at 0x7ff58ff16ac0>
2022-11-23T01:30:20.7936689Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7936753Z             }
2022-11-23T01:30:20.7936813Z             
2022-11-23T01:30:20.7936887Z  - 
2022-11-23T01:30:20.7937018Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7937068Z             {
2022-11-23T01:30:20.7937200Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7937367Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7937483Z                 'obj_weakref': None
2022-11-23T01:30:20.7937714Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7937776Z             }
2022-11-23T01:30:20.7937838Z             
2022-11-23T01:30:20.7937893Z  - 
2022-11-23T01:30:20.7938012Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7938077Z             {
2022-11-23T01:30:20.7938211Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7938425Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7938541Z                 'obj_weakref': None
2022-11-23T01:30:20.7938761Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7938823Z             }
2022-11-23T01:30:20.7938873Z             
2022-11-23T01:30:20.7939132Z [2022-11-23 01:29:35,636] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 483
2022-11-23T01:30:20.7939500Z [2022-11-23 01:29:37,033] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x3/cx3marwskeor74qlbntpdduvg32fhejfcrovcwoyok5f3uuyf4v6.py
2022-11-23T01:30:20.7939762Z [2022-11-23 01:29:37,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 483
2022-11-23T01:30:20.7939770Z 
2022-11-23T01:30:20.7939864Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7939934Z import torch
2022-11-23T01:30:20.7940004Z import random
2022-11-23T01:30:20.7940105Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7940226Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7940232Z 
2022-11-23T01:30:20.7940361Z aten = torch.ops.aten
2022-11-23T01:30:20.7940495Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7940587Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7940592Z 
2022-11-23T01:30:20.7940597Z 
2022-11-23T01:30:20.7940730Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7940934Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7941056Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7941160Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7941282Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7941344Z {
2022-11-23T01:30:20.7941441Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7941505Z     {
2022-11-23T01:30:20.7941582Z         #pragma omp for 
2022-11-23T01:30:20.7941661Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7941710Z         {
2022-11-23T01:30:20.7941790Z             #pragma GCC ivdep
2022-11-23T01:30:20.7941876Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7941940Z             {
2022-11-23T01:30:20.7942004Z                 {
2022-11-23T01:30:20.7942070Z                     {
2022-11-23T01:30:20.7942172Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.7942265Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:30:20.7942359Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7942454Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7942522Z                     }
2022-11-23T01:30:20.7942590Z                 }
2022-11-23T01:30:20.7942654Z             }
2022-11-23T01:30:20.7942718Z         }
2022-11-23T01:30:20.7942766Z     }
2022-11-23T01:30:20.7942829Z }
2022-11-23T01:30:20.7942908Z ''')
2022-11-23T01:30:20.7942913Z 
2022-11-23T01:30:20.7942917Z 
2022-11-23T01:30:20.7943008Z async_compile.wait(globals())
2022-11-23T01:30:20.7943083Z del async_compile
2022-11-23T01:30:20.7943088Z 
2022-11-23T01:30:20.7943159Z def call(args):
2022-11-23T01:30:20.7943235Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7943294Z     args.clear()
2022-11-23T01:30:20.7943496Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7943660Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7943728Z     del arg0_1
2022-11-23T01:30:20.7943795Z     del arg1_1
2022-11-23T01:30:20.7943864Z     return (buf0, )
2022-11-23T01:30:20.7943869Z 
2022-11-23T01:30:20.7943873Z 
2022-11-23T01:30:20.7943951Z if __name__ == "__main__":
2022-11-23T01:30:20.7944064Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7944173Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7944376Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7944578Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7944696Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7944701Z 
2022-11-23T01:30:20.7944765Z ok (1.422s)
2022-11-23T01:30:20.7945111Z   test_cpu_dense_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7945428Z [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7945646Z [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7945899Z [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7946161Z [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7946526Z [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7946872Z [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7947191Z [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7947573Z [2022-11-23 01:29:37,039] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7947694Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7947782Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7947858Z               4 BINARY_ADD
2022-11-23T01:30:20.7947945Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7948011Z               8 RETURN_VALUE
2022-11-23T01:30:20.7948070Z  
2022-11-23T01:30:20.7948075Z 
2022-11-23T01:30:20.7948386Z [2022-11-23 01:29:37,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7948598Z [2022-11-23 01:29:37,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7948835Z [2022-11-23 01:29:37,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7949112Z [2022-11-23 01:29:37,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7949352Z [2022-11-23 01:29:37,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7949596Z [2022-11-23 01:29:37,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7949979Z [2022-11-23 01:29:37,041] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7950210Z [2022-11-23 01:29:37,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7950442Z [2022-11-23 01:29:37,041] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7950695Z [2022-11-23 01:29:37,042] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7950943Z [2022-11-23 01:29:37,045] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7951132Z [2022-11-23 01:29:37,045] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7951265Z  __compiled_fn_492 <eval_with_key>.3771 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7951352Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7951441Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7951605Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7951698Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7951703Z 
2022-11-23T01:30:20.7952027Z [2022-11-23 01:29:37,045] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7952119Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7952209Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7952290Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7952385Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7952470Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7952545Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7952619Z              12 RETURN_VALUE
2022-11-23T01:30:20.7952624Z 
2022-11-23T01:30:20.7952683Z  
2022-11-23T01:30:20.7953027Z [2022-11-23 01:29:37,045] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7953135Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_492)
2022-11-23T01:30:20.7953222Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7953309Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7953385Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7953460Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7953544Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7953617Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7953731Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7953909Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7954013Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7954101Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7954166Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7954253Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7954327Z              26 RETURN_VALUE
2022-11-23T01:30:20.7954333Z 
2022-11-23T01:30:20.7954393Z  
2022-11-23T01:30:20.7954579Z [2022-11-23 01:29:37,046] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7954649Z  - 
2022-11-23T01:30:20.7954767Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7954818Z             {
2022-11-23T01:30:20.7954957Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7955142Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7955263Z                 'obj_weakref': None
2022-11-23T01:30:20.7955486Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7955550Z             }
2022-11-23T01:30:20.7955614Z             
2022-11-23T01:30:20.7955669Z  - 
2022-11-23T01:30:20.7955791Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7955854Z             {
2022-11-23T01:30:20.7955997Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7956101Z                 'code': None,
2022-11-23T01:30:20.7956311Z                 'obj_weakref': <weakref at 0x7ff5a81ba0c0; to 'Tensor' at 0x7ff59c14e070>
2022-11-23T01:30:20.7956563Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7956614Z             }
2022-11-23T01:30:20.7956676Z             
2022-11-23T01:30:20.7956745Z  - 
2022-11-23T01:30:20.7956865Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7956928Z             {
2022-11-23T01:30:20.7957068Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7957172Z                 'code': None,
2022-11-23T01:30:20.7957368Z                 'obj_weakref': <weakref at 0x7ff57ee34540; to 'Tensor' at 0x7ff57ee379c0>
2022-11-23T01:30:20.7957620Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7957682Z             }
2022-11-23T01:30:20.7957743Z             
2022-11-23T01:30:20.7957810Z  - 
2022-11-23T01:30:20.7957939Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7958005Z             {
2022-11-23T01:30:20.7958126Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7958291Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7958408Z                 'obj_weakref': None
2022-11-23T01:30:20.7958636Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7958701Z             }
2022-11-23T01:30:20.7958764Z             
2022-11-23T01:30:20.7958831Z  - 
2022-11-23T01:30:20.7958938Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7958998Z             {
2022-11-23T01:30:20.7959133Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7959380Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7959497Z                 'obj_weakref': None
2022-11-23T01:30:20.7959714Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7959776Z             }
2022-11-23T01:30:20.7959826Z             
2022-11-23T01:30:20.7960088Z [2022-11-23 01:29:37,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 484
2022-11-23T01:30:20.7960450Z [2022-11-23 01:29:38,438] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/77/c77uiqrbhy4ix6tk7aioqm3jtok7sduuuq6idjr7dmcvixychfte.py
2022-11-23T01:30:20.7960738Z [2022-11-23 01:29:38,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 484
2022-11-23T01:30:20.7960744Z 
2022-11-23T01:30:20.7960836Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7960902Z import torch
2022-11-23T01:30:20.7960969Z import random
2022-11-23T01:30:20.7961083Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7961192Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7961208Z 
2022-11-23T01:30:20.7961273Z aten = torch.ops.aten
2022-11-23T01:30:20.7961406Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7961495Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7961500Z 
2022-11-23T01:30:20.7961504Z 
2022-11-23T01:30:20.7961636Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7961837Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7961955Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.7962059Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7962147Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.7962208Z {
2022-11-23T01:30:20.7962304Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7962364Z     {
2022-11-23T01:30:20.7962441Z         #pragma omp for 
2022-11-23T01:30:20.7962521Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7962582Z         {
2022-11-23T01:30:20.7962648Z             #pragma GCC ivdep
2022-11-23T01:30:20.7962732Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7962792Z             {
2022-11-23T01:30:20.7962856Z                 {
2022-11-23T01:30:20.7962921Z                     {
2022-11-23T01:30:20.7963022Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.7963121Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:30:20.7963201Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.7963297Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.7963362Z                     }
2022-11-23T01:30:20.7963427Z                 }
2022-11-23T01:30:20.7963487Z             }
2022-11-23T01:30:20.7963547Z         }
2022-11-23T01:30:20.7963608Z     }
2022-11-23T01:30:20.7963656Z }
2022-11-23T01:30:20.7963732Z ''')
2022-11-23T01:30:20.7963738Z 
2022-11-23T01:30:20.7963743Z 
2022-11-23T01:30:20.7963831Z async_compile.wait(globals())
2022-11-23T01:30:20.7963899Z del async_compile
2022-11-23T01:30:20.7963903Z 
2022-11-23T01:30:20.7963971Z def call(args):
2022-11-23T01:30:20.7964044Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7964114Z     args.clear()
2022-11-23T01:30:20.7964301Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7964461Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7964528Z     del arg0_1
2022-11-23T01:30:20.7964593Z     del arg1_1
2022-11-23T01:30:20.7964665Z     return (buf0, )
2022-11-23T01:30:20.7964669Z 
2022-11-23T01:30:20.7964673Z 
2022-11-23T01:30:20.7964748Z if __name__ == "__main__":
2022-11-23T01:30:20.7964860Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7964981Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7965197Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7965397Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7965510Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7965515Z 
2022-11-23T01:30:20.7965579Z ok (1.405s)
2022-11-23T01:30:20.7965924Z   test_cpu_double_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7966238Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7966482Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7966733Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7967011Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7967316Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7967658Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7967979Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7968359Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7968449Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7968541Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7968614Z               4 BINARY_ADD
2022-11-23T01:30:20.7968700Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7968775Z               8 RETURN_VALUE
2022-11-23T01:30:20.7968822Z  
2022-11-23T01:30:20.7968827Z 
2022-11-23T01:30:20.7969137Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7969343Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7969578Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7969851Z [2022-11-23 01:29:38,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7970091Z [2022-11-23 01:29:38,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7970336Z [2022-11-23 01:29:38,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7970720Z [2022-11-23 01:29:38,446] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7970961Z [2022-11-23 01:29:38,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7971180Z [2022-11-23 01:29:38,446] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7971430Z [2022-11-23 01:29:38,447] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7971680Z [2022-11-23 01:29:38,450] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7971865Z [2022-11-23 01:29:38,450] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7972024Z  __compiled_fn_493 <eval_with_key>.3777 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7972113Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7972195Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7972374Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7972455Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7972460Z 
2022-11-23T01:30:20.7972780Z [2022-11-23 01:29:38,450] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7972870Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7972988Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7973075Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7973165Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7973248Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7973333Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7973398Z              12 RETURN_VALUE
2022-11-23T01:30:20.7973403Z 
2022-11-23T01:30:20.7973462Z  
2022-11-23T01:30:20.7973782Z [2022-11-23 01:29:38,451] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7973887Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_493)
2022-11-23T01:30:20.7973974Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7974062Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7974137Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7974213Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7974301Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.7974375Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.7974461Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.7974563Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.7974664Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.7974754Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7974827Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.7974900Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.7974972Z              26 RETURN_VALUE
2022-11-23T01:30:20.7974977Z 
2022-11-23T01:30:20.7975037Z  
2022-11-23T01:30:20.7975217Z [2022-11-23 01:29:38,451] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.7975285Z  - 
2022-11-23T01:30:20.7975400Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.7975465Z             {
2022-11-23T01:30:20.7975591Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.7975779Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.7975898Z                 'obj_weakref': None
2022-11-23T01:30:20.7976122Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.7976185Z             }
2022-11-23T01:30:20.7976249Z             
2022-11-23T01:30:20.7976316Z  - 
2022-11-23T01:30:20.7976553Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.7976613Z             {
2022-11-23T01:30:20.7976756Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7976861Z                 'code': None,
2022-11-23T01:30:20.7977072Z                 'obj_weakref': <weakref at 0x7ff58f9a9a30; to 'Tensor' at 0x7ff58ff15d50>
2022-11-23T01:30:20.7977324Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7977388Z             }
2022-11-23T01:30:20.7977439Z             
2022-11-23T01:30:20.7977506Z  - 
2022-11-23T01:30:20.7977630Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.7977693Z             {
2022-11-23T01:30:20.7977833Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.7977937Z                 'code': None,
2022-11-23T01:30:20.7978193Z                 'obj_weakref': <weakref at 0x7ff58f9b72e0; to 'Tensor' at 0x7ff58f9aaca0>
2022-11-23T01:30:20.7978433Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.7978495Z             }
2022-11-23T01:30:20.7978559Z             
2022-11-23T01:30:20.7978629Z  - 
2022-11-23T01:30:20.7978761Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.7978825Z             {
2022-11-23T01:30:20.7978959Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.7979116Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.7979234Z                 'obj_weakref': None
2022-11-23T01:30:20.7979501Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.7979566Z             }
2022-11-23T01:30:20.7979628Z             
2022-11-23T01:30:20.7979696Z  - 
2022-11-23T01:30:20.7979821Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.7979872Z             {
2022-11-23T01:30:20.7980011Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.7980230Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.7980349Z                 'obj_weakref': None
2022-11-23T01:30:20.7980572Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.7980635Z             }
2022-11-23T01:30:20.7980699Z             
2022-11-23T01:30:20.7980948Z [2022-11-23 01:29:38,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 485
2022-11-23T01:30:20.7981317Z [2022-11-23 01:29:39,844] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuiq43qsbk6i2hpndsexdgoktlvhszyvtvcrs4ciylmsrql7k42z.py
2022-11-23T01:30:20.7981587Z [2022-11-23 01:29:39,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 485
2022-11-23T01:30:20.7981594Z 
2022-11-23T01:30:20.7981691Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.7981761Z import torch
2022-11-23T01:30:20.7981832Z import random
2022-11-23T01:30:20.7981948Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.7982068Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.7982074Z 
2022-11-23T01:30:20.7982139Z aten = torch.ops.aten
2022-11-23T01:30:20.7982276Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.7982368Z async_compile = AsyncCompile()
2022-11-23T01:30:20.7982373Z 
2022-11-23T01:30:20.7982377Z 
2022-11-23T01:30:20.7982511Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.7982719Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.7982840Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.7982944Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.7983046Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.7983096Z {
2022-11-23T01:30:20.7983194Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.7983257Z     {
2022-11-23T01:30:20.7983333Z         #pragma omp for 
2022-11-23T01:30:20.7983414Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.7983478Z         {
2022-11-23T01:30:20.7983555Z             #pragma GCC ivdep
2022-11-23T01:30:20.7983628Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.7983690Z             {
2022-11-23T01:30:20.7983756Z                 {
2022-11-23T01:30:20.7983826Z                     {
2022-11-23T01:30:20.7983927Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.7984024Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.7984135Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:30:20.7984215Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.7984312Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.7984380Z                     }
2022-11-23T01:30:20.7984470Z                 }
2022-11-23T01:30:20.7984537Z             }
2022-11-23T01:30:20.7984597Z         }
2022-11-23T01:30:20.7984646Z     }
2022-11-23T01:30:20.7984706Z }
2022-11-23T01:30:20.7984782Z ''')
2022-11-23T01:30:20.7984787Z 
2022-11-23T01:30:20.7984791Z 
2022-11-23T01:30:20.7984881Z async_compile.wait(globals())
2022-11-23T01:30:20.7984955Z del async_compile
2022-11-23T01:30:20.7984960Z 
2022-11-23T01:30:20.7985027Z def call(args):
2022-11-23T01:30:20.7985101Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.7985170Z     args.clear()
2022-11-23T01:30:20.7985358Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7985547Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.7985619Z     del arg0_1
2022-11-23T01:30:20.7985686Z     del arg1_1
2022-11-23T01:30:20.7985755Z     return (buf0, )
2022-11-23T01:30:20.7985760Z 
2022-11-23T01:30:20.7985764Z 
2022-11-23T01:30:20.7985838Z if __name__ == "__main__":
2022-11-23T01:30:20.7985953Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.7986063Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.7986263Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.7986456Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.7986568Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.7986573Z 
2022-11-23T01:30:20.7986638Z ok (1.406s)
2022-11-23T01:30:20.7986979Z   test_cpu_double_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.7987298Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.7987518Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.7987770Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.7988034Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.7988352Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7988695Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7989017Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.7989399Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.7989490Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.7989578Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.7989650Z               4 BINARY_ADD
2022-11-23T01:30:20.7989737Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.7989801Z               8 RETURN_VALUE
2022-11-23T01:30:20.7989860Z  
2022-11-23T01:30:20.7989865Z 
2022-11-23T01:30:20.7990171Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.7990381Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.7990618Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.7990952Z [2022-11-23 01:29:39,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.7991193Z [2022-11-23 01:29:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.7991436Z [2022-11-23 01:29:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7991817Z [2022-11-23 01:29:39,852] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.7992061Z [2022-11-23 01:29:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.7992315Z [2022-11-23 01:29:39,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.7992566Z [2022-11-23 01:29:39,853] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.7992814Z [2022-11-23 01:29:39,855] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.7993002Z [2022-11-23 01:29:39,856] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.7993136Z  __compiled_fn_494 <eval_with_key>.3783 opcode, name, target, args, kwargs
2022-11-23T01:30:20.7997772Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.7997884Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.7998077Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.7998176Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.7998182Z 
2022-11-23T01:30:20.7998516Z [2022-11-23 01:29:39,856] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7998615Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.7998706Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7998792Z               4 BUILD_MAP                0
2022-11-23T01:30:20.7998883Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.7998966Z               8 DICT_MERGE               1
2022-11-23T01:30:20.7999042Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.7999115Z              12 RETURN_VALUE
2022-11-23T01:30:20.7999121Z 
2022-11-23T01:30:20.7999181Z  
2022-11-23T01:30:20.7999506Z [2022-11-23 01:29:39,856] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.7999615Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_494)
2022-11-23T01:30:20.7999704Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.7999794Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.7999870Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.7999945Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8000029Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8000104Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8000188Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8000289Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8000387Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8000474Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8000536Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8000620Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8000693Z              26 RETURN_VALUE
2022-11-23T01:30:20.8000698Z 
2022-11-23T01:30:20.8000757Z  
2022-11-23T01:30:20.8000939Z [2022-11-23 01:29:39,857] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8001009Z  - 
2022-11-23T01:30:20.8001126Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8001177Z             {
2022-11-23T01:30:20.8001314Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8001498Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8001692Z                 'obj_weakref': None
2022-11-23T01:30:20.8001916Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8001980Z             }
2022-11-23T01:30:20.8002041Z             
2022-11-23T01:30:20.8002097Z  - 
2022-11-23T01:30:20.8002219Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8002282Z             {
2022-11-23T01:30:20.8002423Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8002528Z                 'code': None,
2022-11-23T01:30:20.8002742Z                 'obj_weakref': <weakref at 0x7ff5a80d3b50; to 'Tensor' at 0x7ff57efca390>
2022-11-23T01:30:20.8003031Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8003081Z             }
2022-11-23T01:30:20.8003144Z             
2022-11-23T01:30:20.8003213Z  - 
2022-11-23T01:30:20.8003333Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8003396Z             {
2022-11-23T01:30:20.8003536Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8003641Z                 'code': None,
2022-11-23T01:30:20.8003838Z                 'obj_weakref': <weakref at 0x7ff5a80d0720; to 'Tensor' at 0x7ff57eea8400>
2022-11-23T01:30:20.8004088Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8004150Z             }
2022-11-23T01:30:20.8004210Z             
2022-11-23T01:30:20.8004276Z  - 
2022-11-23T01:30:20.8004404Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8004464Z             {
2022-11-23T01:30:20.8004587Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8004756Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8004873Z                 'obj_weakref': None
2022-11-23T01:30:20.8005101Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8005162Z             }
2022-11-23T01:30:20.8005224Z             
2022-11-23T01:30:20.8005290Z  - 
2022-11-23T01:30:20.8005397Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8005457Z             {
2022-11-23T01:30:20.8005590Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8005805Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8005920Z                 'obj_weakref': None
2022-11-23T01:30:20.8006136Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8006198Z             }
2022-11-23T01:30:20.8006248Z             
2022-11-23T01:30:20.8006506Z [2022-11-23 01:29:39,861] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 486
2022-11-23T01:30:20.8006871Z [2022-11-23 01:29:41,234] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2q/c2qbakesqkta3f3bnbvht5mj7rzegvoif7jiq5tjwimnvdx4nkog.py
2022-11-23T01:30:20.8007221Z [2022-11-23 01:29:41,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 486
2022-11-23T01:30:20.8007229Z 
2022-11-23T01:30:20.8007347Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8007416Z import torch
2022-11-23T01:30:20.8007483Z import random
2022-11-23T01:30:20.8007597Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8007703Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8007720Z 
2022-11-23T01:30:20.8007785Z aten = torch.ops.aten
2022-11-23T01:30:20.8007916Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8008010Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8008015Z 
2022-11-23T01:30:20.8008019Z 
2022-11-23T01:30:20.8008153Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8008354Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8008521Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.8008627Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8008725Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8008774Z {
2022-11-23T01:30:20.8008868Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8008928Z     {
2022-11-23T01:30:20.8009002Z         #pragma omp for 
2022-11-23T01:30:20.8009081Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8009141Z         {
2022-11-23T01:30:20.8009207Z             #pragma GCC ivdep
2022-11-23T01:30:20.8009289Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8009387Z             {
2022-11-23T01:30:20.8009452Z                 {
2022-11-23T01:30:20.8009517Z                     {
2022-11-23T01:30:20.8009619Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.8009713Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.8009811Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:30:20.8009904Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.8009998Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8010062Z                     }
2022-11-23T01:30:20.8010125Z                 }
2022-11-23T01:30:20.8010186Z             }
2022-11-23T01:30:20.8010246Z         }
2022-11-23T01:30:20.8010294Z     }
2022-11-23T01:30:20.8010353Z }
2022-11-23T01:30:20.8010429Z ''')
2022-11-23T01:30:20.8010434Z 
2022-11-23T01:30:20.8010438Z 
2022-11-23T01:30:20.8010525Z async_compile.wait(globals())
2022-11-23T01:30:20.8010596Z del async_compile
2022-11-23T01:30:20.8010600Z 
2022-11-23T01:30:20.8010670Z def call(args):
2022-11-23T01:30:20.8010743Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8010801Z     args.clear()
2022-11-23T01:30:20.8011010Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8011172Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8011237Z     del arg0_1
2022-11-23T01:30:20.8011301Z     del arg1_1
2022-11-23T01:30:20.8011370Z     return (buf0, )
2022-11-23T01:30:20.8011374Z 
2022-11-23T01:30:20.8011378Z 
2022-11-23T01:30:20.8011450Z if __name__ == "__main__":
2022-11-23T01:30:20.8011562Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8011671Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8011871Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8012078Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8012192Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8012197Z 
2022-11-23T01:30:20.8012262Z ok (1.389s)
2022-11-23T01:30:20.8012607Z   test_cpu_double_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:41,239] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8012921Z [2022-11-23 01:29:41,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8013139Z [2022-11-23 01:29:41,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8013390Z [2022-11-23 01:29:41,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8013655Z [2022-11-23 01:29:41,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8013972Z [2022-11-23 01:29:41,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8014316Z [2022-11-23 01:29:41,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8014671Z [2022-11-23 01:29:41,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8015050Z [2022-11-23 01:29:41,240] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8015140Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8015231Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8015304Z               4 BINARY_ADD
2022-11-23T01:30:20.8015389Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8015482Z               8 RETURN_VALUE
2022-11-23T01:30:20.8015542Z  
2022-11-23T01:30:20.8015547Z 
2022-11-23T01:30:20.8015856Z [2022-11-23 01:29:41,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8016063Z [2022-11-23 01:29:41,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8016301Z [2022-11-23 01:29:41,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8016711Z [2022-11-23 01:29:41,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8016954Z [2022-11-23 01:29:41,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8017199Z [2022-11-23 01:29:41,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8017589Z [2022-11-23 01:29:41,241] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8017821Z [2022-11-23 01:29:41,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8018057Z [2022-11-23 01:29:41,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8018310Z [2022-11-23 01:29:41,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8018556Z [2022-11-23 01:29:41,245] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8018743Z [2022-11-23 01:29:41,245] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8018877Z  __compiled_fn_495 <eval_with_key>.3789 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8018966Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8019051Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8019218Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8019312Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8019317Z 
2022-11-23T01:30:20.8019639Z [2022-11-23 01:29:41,245] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8019732Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8019823Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8019908Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8019999Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8020083Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8020158Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8020231Z              12 RETURN_VALUE
2022-11-23T01:30:20.8020237Z 
2022-11-23T01:30:20.8020295Z  
2022-11-23T01:30:20.8020615Z [2022-11-23 01:29:41,245] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8020721Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_495)
2022-11-23T01:30:20.8020808Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8020895Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8021021Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8021098Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8021184Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8021260Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8021346Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8021449Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8021550Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8021644Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8021706Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8021824Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8021898Z              26 RETURN_VALUE
2022-11-23T01:30:20.8021903Z 
2022-11-23T01:30:20.8021962Z  
2022-11-23T01:30:20.8022146Z [2022-11-23 01:29:41,246] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8022212Z  - 
2022-11-23T01:30:20.8022332Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8022386Z             {
2022-11-23T01:30:20.8022525Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8022712Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8022831Z                 'obj_weakref': None
2022-11-23T01:30:20.8023056Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8023119Z             }
2022-11-23T01:30:20.8023179Z             
2022-11-23T01:30:20.8023234Z  - 
2022-11-23T01:30:20.8023355Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8023415Z             {
2022-11-23T01:30:20.8023560Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8023665Z                 'code': None,
2022-11-23T01:30:20.8023877Z                 'obj_weakref': <weakref at 0x7ff57efe43b0; to 'Tensor' at 0x7ff58fd0bd30>
2022-11-23T01:30:20.8024133Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8024185Z             }
2022-11-23T01:30:20.8024246Z             
2022-11-23T01:30:20.8024314Z  - 
2022-11-23T01:30:20.8024434Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8024496Z             {
2022-11-23T01:30:20.8024634Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8024738Z                 'code': None,
2022-11-23T01:30:20.8024937Z                 'obj_weakref': <weakref at 0x7ff57efe6980; to 'Tensor' at 0x7ff57eea8f90>
2022-11-23T01:30:20.8025188Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8025253Z             }
2022-11-23T01:30:20.8025314Z             
2022-11-23T01:30:20.8025381Z  - 
2022-11-23T01:30:20.8025510Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8025571Z             {
2022-11-23T01:30:20.8025692Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8025863Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8025979Z                 'obj_weakref': None
2022-11-23T01:30:20.8026207Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8026269Z             }
2022-11-23T01:30:20.8026330Z             
2022-11-23T01:30:20.8026396Z  - 
2022-11-23T01:30:20.8026502Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8026566Z             {
2022-11-23T01:30:20.8026701Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8026916Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8027034Z                 'obj_weakref': None
2022-11-23T01:30:20.8027252Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8027313Z             }
2022-11-23T01:30:20.8027363Z             
2022-11-23T01:30:20.8027649Z [2022-11-23 01:29:41,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 487
2022-11-23T01:30:20.8028013Z [2022-11-23 01:29:42,621] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxuyp72t4wwpt35zrrc64ck22x4dm5omzfsxxv4tldrdpzrcyku.py
2022-11-23T01:30:20.8028278Z [2022-11-23 01:29:42,621] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 487
2022-11-23T01:30:20.8028284Z 
2022-11-23T01:30:20.8028375Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8028441Z import torch
2022-11-23T01:30:20.8028508Z import random
2022-11-23T01:30:20.8028621Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8028759Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8028764Z 
2022-11-23T01:30:20.8028839Z aten = torch.ops.aten
2022-11-23T01:30:20.8028970Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8029060Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8029065Z 
2022-11-23T01:30:20.8029070Z 
2022-11-23T01:30:20.8029204Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8029405Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8029523Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.8029627Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8029715Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8029776Z {
2022-11-23T01:30:20.8029873Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8029933Z     {
2022-11-23T01:30:20.8030008Z         #pragma omp for 
2022-11-23T01:30:20.8030090Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:30:20.8030149Z         {
2022-11-23T01:30:20.8030200Z             {
2022-11-23T01:30:20.8030262Z                 {
2022-11-23T01:30:20.8030351Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8030439Z                     auto tmp1 = in_ptr1[0];
2022-11-23T01:30:20.8030550Z                     auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:30:20.8030638Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.8030721Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.8030773Z                 }
2022-11-23T01:30:20.8030834Z             }
2022-11-23T01:30:20.8030893Z         }
2022-11-23T01:30:20.8030951Z     }
2022-11-23T01:30:20.8031009Z }
2022-11-23T01:30:20.8031085Z ''')
2022-11-23T01:30:20.8031090Z 
2022-11-23T01:30:20.8031094Z 
2022-11-23T01:30:20.8031182Z async_compile.wait(globals())
2022-11-23T01:30:20.8031241Z del async_compile
2022-11-23T01:30:20.8031245Z 
2022-11-23T01:30:20.8031315Z def call(args):
2022-11-23T01:30:20.8031389Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8031458Z     args.clear()
2022-11-23T01:30:20.8031659Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8031818Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8031886Z     del arg0_1
2022-11-23T01:30:20.8031940Z     del arg1_1
2022-11-23T01:30:20.8032010Z     return (buf0, )
2022-11-23T01:30:20.8032015Z 
2022-11-23T01:30:20.8032019Z 
2022-11-23T01:30:20.8032091Z if __name__ == "__main__":
2022-11-23T01:30:20.8032203Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8032322Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8032520Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8032709Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8032821Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8032828Z 
2022-11-23T01:30:20.8032882Z ok (1.387s)
2022-11-23T01:30:20.8033213Z   test_cpu_double_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:42,626] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8033551Z [2022-11-23 01:29:42,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8033771Z [2022-11-23 01:29:42,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8034109Z [2022-11-23 01:29:42,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8034388Z [2022-11-23 01:29:42,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8034707Z [2022-11-23 01:29:42,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8035087Z [2022-11-23 01:29:42,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8035409Z [2022-11-23 01:29:42,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8035790Z [2022-11-23 01:29:42,627] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8035869Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8035958Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8036029Z               4 BINARY_ADD
2022-11-23T01:30:20.8036116Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8036191Z               8 RETURN_VALUE
2022-11-23T01:30:20.8036252Z  
2022-11-23T01:30:20.8036259Z 
2022-11-23T01:30:20.8036571Z [2022-11-23 01:29:42,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8036780Z [2022-11-23 01:29:42,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8037007Z [2022-11-23 01:29:42,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8037277Z [2022-11-23 01:29:42,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8037515Z [2022-11-23 01:29:42,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8037759Z [2022-11-23 01:29:42,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8038140Z [2022-11-23 01:29:42,628] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8038383Z [2022-11-23 01:29:42,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8038614Z [2022-11-23 01:29:42,629] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8038865Z [2022-11-23 01:29:42,629] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8039113Z [2022-11-23 01:29:42,632] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8039297Z [2022-11-23 01:29:42,632] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8039418Z  __compiled_fn_496 <eval_with_key>.3795 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8039504Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8039589Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8039766Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8039863Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8039868Z 
2022-11-23T01:30:20.8040187Z [2022-11-23 01:29:42,632] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8040317Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8040408Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8040481Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8040571Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8040654Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8040741Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8040813Z              12 RETURN_VALUE
2022-11-23T01:30:20.8040818Z 
2022-11-23T01:30:20.8040876Z  
2022-11-23T01:30:20.8041197Z [2022-11-23 01:29:42,633] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8041320Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_496)
2022-11-23T01:30:20.8041409Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8041496Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8041571Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8041660Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8041747Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8041820Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8041894Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8041996Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8042096Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8042184Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8042259Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8042344Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8042419Z              26 RETURN_VALUE
2022-11-23T01:30:20.8042424Z 
2022-11-23T01:30:20.8042483Z  
2022-11-23T01:30:20.8042652Z [2022-11-23 01:29:42,633] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8042719Z  - 
2022-11-23T01:30:20.8042836Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8042899Z             {
2022-11-23T01:30:20.8043040Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8043225Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8043341Z                 'obj_weakref': None
2022-11-23T01:30:20.8043553Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8043616Z             }
2022-11-23T01:30:20.8043679Z             
2022-11-23T01:30:20.8043746Z  - 
2022-11-23T01:30:20.8043869Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8043928Z             {
2022-11-23T01:30:20.8044069Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8044165Z                 'code': None,
2022-11-23T01:30:20.8044375Z                 'obj_weakref': <weakref at 0x7ff57f947150; to 'Tensor' at 0x7ff59c18ed40>
2022-11-23T01:30:20.8044626Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8044689Z             }
2022-11-23T01:30:20.8044752Z             
2022-11-23T01:30:20.8044819Z  - 
2022-11-23T01:30:20.8044939Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8044989Z             {
2022-11-23T01:30:20.8045128Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8045234Z                 'code': None,
2022-11-23T01:30:20.8045441Z                 'obj_weakref': <weakref at 0x7ff57f947060; to 'Tensor' at 0x7ff57ee83330>
2022-11-23T01:30:20.8045690Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8045753Z             }
2022-11-23T01:30:20.8045817Z             
2022-11-23T01:30:20.8045871Z  - 
2022-11-23T01:30:20.8046000Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8046062Z             {
2022-11-23T01:30:20.8046195Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8046360Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8046502Z                 'obj_weakref': None
2022-11-23T01:30:20.8046731Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8046781Z             }
2022-11-23T01:30:20.8046843Z             
2022-11-23T01:30:20.8046908Z  - 
2022-11-23T01:30:20.8047028Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8047088Z             {
2022-11-23T01:30:20.8047221Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8047434Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8047568Z                 'obj_weakref': None
2022-11-23T01:30:20.8047787Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8047849Z             }
2022-11-23T01:30:20.8047910Z             
2022-11-23T01:30:20.8048170Z [2022-11-23 01:29:42,639] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 488
2022-11-23T01:30:20.8048538Z [2022-11-23 01:29:44,028] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tn/ctnt4i5zdleokiiwt62b7rfbpiutsl5zxitri4aunmbwe7dsxkgf.py
2022-11-23T01:30:20.8048800Z [2022-11-23 01:29:44,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 488
2022-11-23T01:30:20.8048806Z 
2022-11-23T01:30:20.8048897Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8048953Z import torch
2022-11-23T01:30:20.8049021Z import random
2022-11-23T01:30:20.8049137Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8049257Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8049264Z 
2022-11-23T01:30:20.8049340Z aten = torch.ops.aten
2022-11-23T01:30:20.8049469Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8049562Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8049567Z 
2022-11-23T01:30:20.8049572Z 
2022-11-23T01:30:20.8049705Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8049897Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8050015Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.8050117Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8050216Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8050276Z {
2022-11-23T01:30:20.8050371Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8050429Z     {
2022-11-23T01:30:20.8050493Z         #pragma omp for 
2022-11-23T01:30:20.8050572Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:30:20.8050636Z         {
2022-11-23T01:30:20.8050697Z             {
2022-11-23T01:30:20.8050759Z                 {
2022-11-23T01:30:20.8050850Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8050939Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.8051035Z                     auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:30:20.8051125Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.8051208Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.8051272Z                 }
2022-11-23T01:30:20.8051332Z             }
2022-11-23T01:30:20.8051391Z         }
2022-11-23T01:30:20.8051439Z     }
2022-11-23T01:30:20.8051496Z }
2022-11-23T01:30:20.8051571Z ''')
2022-11-23T01:30:20.8051576Z 
2022-11-23T01:30:20.8051580Z 
2022-11-23T01:30:20.8051668Z async_compile.wait(globals())
2022-11-23T01:30:20.8051738Z del async_compile
2022-11-23T01:30:20.8051742Z 
2022-11-23T01:30:20.8051811Z def call(args):
2022-11-23T01:30:20.8051884Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8051955Z     args.clear()
2022-11-23T01:30:20.8052142Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8052304Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8052370Z     del arg0_1
2022-11-23T01:30:20.8052463Z     del arg1_1
2022-11-23T01:30:20.8052534Z     return (buf0, )
2022-11-23T01:30:20.8052539Z 
2022-11-23T01:30:20.8052543Z 
2022-11-23T01:30:20.8052616Z if __name__ == "__main__":
2022-11-23T01:30:20.8052728Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8052837Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8053037Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8053233Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8053346Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8053377Z 
2022-11-23T01:30:20.8053443Z ok (1.407s)
2022-11-23T01:30:20.8053780Z   test_cpu_double_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:44,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8054100Z [2022-11-23 01:29:44,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8054314Z [2022-11-23 01:29:44,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8054566Z [2022-11-23 01:29:44,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8054829Z [2022-11-23 01:29:44,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8055147Z [2022-11-23 01:29:44,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8055495Z [2022-11-23 01:29:44,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8055820Z [2022-11-23 01:29:44,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8056199Z [2022-11-23 01:29:44,034] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8056289Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8056378Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8056562Z               4 BINARY_ADD
2022-11-23T01:30:20.8056650Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8056713Z               8 RETURN_VALUE
2022-11-23T01:30:20.8056775Z  
2022-11-23T01:30:20.8056780Z 
2022-11-23T01:30:20.8057095Z [2022-11-23 01:29:44,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8057305Z [2022-11-23 01:29:44,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8057545Z [2022-11-23 01:29:44,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8057820Z [2022-11-23 01:29:44,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8058063Z [2022-11-23 01:29:44,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8058307Z [2022-11-23 01:29:44,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8058694Z [2022-11-23 01:29:44,035] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8058929Z [2022-11-23 01:29:44,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8059162Z [2022-11-23 01:29:44,035] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8059461Z [2022-11-23 01:29:44,036] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8059710Z [2022-11-23 01:29:44,039] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8059898Z [2022-11-23 01:29:44,039] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8060032Z  __compiled_fn_497 <eval_with_key>.3801 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8060121Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8060209Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8060387Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8060504Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8060509Z 
2022-11-23T01:30:20.8060833Z [2022-11-23 01:29:44,039] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8060926Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8061020Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8061110Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8061207Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8061290Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8061364Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8061438Z              12 RETURN_VALUE
2022-11-23T01:30:20.8061443Z 
2022-11-23T01:30:20.8061502Z  
2022-11-23T01:30:20.8061819Z [2022-11-23 01:29:44,039] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8061927Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_497)
2022-11-23T01:30:20.8062013Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8062101Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8062176Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8062253Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8062338Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8062412Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8062496Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8062598Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8062695Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8062781Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8062844Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8062929Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8063005Z              26 RETURN_VALUE
2022-11-23T01:30:20.8063011Z 
2022-11-23T01:30:20.8063070Z  
2022-11-23T01:30:20.8063251Z [2022-11-23 01:29:44,040] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8063320Z  - 
2022-11-23T01:30:20.8063438Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8063490Z             {
2022-11-23T01:30:20.8063632Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8063819Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8063935Z                 'obj_weakref': None
2022-11-23T01:30:20.8064157Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8064219Z             }
2022-11-23T01:30:20.8064280Z             
2022-11-23T01:30:20.8064336Z  - 
2022-11-23T01:30:20.8064456Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8064518Z             {
2022-11-23T01:30:20.8064656Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8064762Z                 'code': None,
2022-11-23T01:30:20.8064972Z                 'obj_weakref': <weakref at 0x7ff58ff49e40; to 'Tensor' at 0x7ff59c18e890>
2022-11-23T01:30:20.8065223Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8065284Z             }
2022-11-23T01:30:20.8065361Z             
2022-11-23T01:30:20.8065428Z  - 
2022-11-23T01:30:20.8065548Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8065609Z             {
2022-11-23T01:30:20.8065749Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8065852Z                 'code': None,
2022-11-23T01:30:20.8066047Z                 'obj_weakref': <weakref at 0x7ff58f91b330; to 'Tensor' at 0x7ff59c0295d0>
2022-11-23T01:30:20.8066296Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8066358Z             }
2022-11-23T01:30:20.8066420Z             
2022-11-23T01:30:20.8066523Z  - 
2022-11-23T01:30:20.8066655Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8066715Z             {
2022-11-23T01:30:20.8066836Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8067001Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8067121Z                 'obj_weakref': None
2022-11-23T01:30:20.8067348Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8067410Z             }
2022-11-23T01:30:20.8067470Z             
2022-11-23T01:30:20.8067537Z  - 
2022-11-23T01:30:20.8067645Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8067705Z             {
2022-11-23T01:30:20.8067839Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8068053Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8068169Z                 'obj_weakref': None
2022-11-23T01:30:20.8068389Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8068452Z             }
2022-11-23T01:30:20.8068515Z             
2022-11-23T01:30:20.8068760Z [2022-11-23 01:29:44,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 489
2022-11-23T01:30:20.8069119Z [2022-11-23 01:29:45,421] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/26/c26rbjlkdx54ub7g72whpo67ddetcco2kcjl3vb77qiavgqacgqr.py
2022-11-23T01:30:20.8069381Z [2022-11-23 01:29:45,421] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 489
2022-11-23T01:30:20.8069386Z 
2022-11-23T01:30:20.8069479Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8069547Z import torch
2022-11-23T01:30:20.8069614Z import random
2022-11-23T01:30:20.8069726Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8069844Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8069851Z 
2022-11-23T01:30:20.8069915Z aten = torch.ops.aten
2022-11-23T01:30:20.8070046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8070135Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8070140Z 
2022-11-23T01:30:20.8070145Z 
2022-11-23T01:30:20.8070276Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8070484Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8070604Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.8070707Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:30:20.8070806Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8070854Z {
2022-11-23T01:30:20.8070948Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8071009Z     {
2022-11-23T01:30:20.8071083Z         #pragma omp for 
2022-11-23T01:30:20.8071164Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:30:20.8071227Z         {
2022-11-23T01:30:20.8071277Z             {
2022-11-23T01:30:20.8071338Z                 {
2022-11-23T01:30:20.8071429Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8071518Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.8071605Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8071716Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.8071781Z                 }
2022-11-23T01:30:20.8071831Z             }
2022-11-23T01:30:20.8071891Z         }
2022-11-23T01:30:20.8071949Z     }
2022-11-23T01:30:20.8072007Z }
2022-11-23T01:30:20.8072081Z ''')
2022-11-23T01:30:20.8072086Z 
2022-11-23T01:30:20.8072090Z 
2022-11-23T01:30:20.8072177Z async_compile.wait(globals())
2022-11-23T01:30:20.8072245Z del async_compile
2022-11-23T01:30:20.8072250Z 
2022-11-23T01:30:20.8072307Z def call(args):
2022-11-23T01:30:20.8072380Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8072450Z     args.clear()
2022-11-23T01:30:20.8072647Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8072837Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8072903Z     del arg0_1
2022-11-23T01:30:20.8072966Z     del arg1_1
2022-11-23T01:30:20.8073024Z     return (buf0, )
2022-11-23T01:30:20.8073040Z 
2022-11-23T01:30:20.8073045Z 
2022-11-23T01:30:20.8073110Z if __name__ == "__main__":
2022-11-23T01:30:20.8073221Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8073340Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8073539Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8073736Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8073945Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8073951Z 
2022-11-23T01:30:20.8074017Z ok (1.393s)
2022-11-23T01:30:20.8074355Z   test_cpu_double_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:45,426] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8074662Z [2022-11-23 01:29:45,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8074882Z [2022-11-23 01:29:45,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8075133Z [2022-11-23 01:29:45,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8075407Z [2022-11-23 01:29:45,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8075724Z [2022-11-23 01:29:45,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8076068Z [2022-11-23 01:29:45,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8076390Z [2022-11-23 01:29:45,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8076771Z [2022-11-23 01:29:45,427] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8076864Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8076955Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8077016Z               4 BINARY_ADD
2022-11-23T01:30:20.8077100Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8077175Z               8 RETURN_VALUE
2022-11-23T01:30:20.8077236Z  
2022-11-23T01:30:20.8077241Z 
2022-11-23T01:30:20.8077550Z [2022-11-23 01:29:45,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8077761Z [2022-11-23 01:29:45,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8077996Z [2022-11-23 01:29:45,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8078300Z [2022-11-23 01:29:45,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8078529Z [2022-11-23 01:29:45,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8078774Z [2022-11-23 01:29:45,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8079156Z [2022-11-23 01:29:45,428] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8079398Z [2022-11-23 01:29:45,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8079658Z [2022-11-23 01:29:45,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8079909Z [2022-11-23 01:29:45,430] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8080158Z [2022-11-23 01:29:45,432] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8080346Z [2022-11-23 01:29:45,432] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8080477Z  __compiled_fn_498 <eval_with_key>.3807 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8080555Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8080638Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8080815Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8080906Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8080912Z 
2022-11-23T01:30:20.8081236Z [2022-11-23 01:29:45,433] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8081329Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8081417Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8081505Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8081584Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8081666Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8081752Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8081827Z              12 RETURN_VALUE
2022-11-23T01:30:20.8081831Z 
2022-11-23T01:30:20.8081890Z  
2022-11-23T01:30:20.8082206Z [2022-11-23 01:29:45,433] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8082313Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_498)
2022-11-23T01:30:20.8082404Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8082481Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8082555Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8082642Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8082729Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8082805Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8082890Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8082990Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8083077Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8083163Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8083236Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8083320Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8083393Z              26 RETURN_VALUE
2022-11-23T01:30:20.8083398Z 
2022-11-23T01:30:20.8083457Z  
2022-11-23T01:30:20.8083636Z [2022-11-23 01:29:45,434] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8083695Z  - 
2022-11-23T01:30:20.8083810Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8083873Z             {
2022-11-23T01:30:20.8084010Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8084231Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8084350Z                 'obj_weakref': None
2022-11-23T01:30:20.8084574Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8084624Z             }
2022-11-23T01:30:20.8084686Z             
2022-11-23T01:30:20.8084754Z  - 
2022-11-23T01:30:20.8084877Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8084938Z             {
2022-11-23T01:30:20.8085078Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8085182Z                 'code': None,
2022-11-23T01:30:20.8085384Z                 'obj_weakref': <weakref at 0x7ff5a81bbe70; to 'Tensor' at 0x7ff5a811cef0>
2022-11-23T01:30:20.8085661Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8085724Z             }
2022-11-23T01:30:20.8085785Z             
2022-11-23T01:30:20.8085852Z  - 
2022-11-23T01:30:20.8085972Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8086036Z             {
2022-11-23T01:30:20.8086165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8086268Z                 'code': None,
2022-11-23T01:30:20.8086478Z                 'obj_weakref': <weakref at 0x7ff5a81bbdd0; to 'Tensor' at 0x7ff5a811d1c0>
2022-11-23T01:30:20.8086729Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8086791Z             }
2022-11-23T01:30:20.8086854Z             
2022-11-23T01:30:20.8086921Z  - 
2022-11-23T01:30:20.8087037Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8087100Z             {
2022-11-23T01:30:20.8087230Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8087396Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8087513Z                 'obj_weakref': None
2022-11-23T01:30:20.8087744Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8087805Z             }
2022-11-23T01:30:20.8087854Z             
2022-11-23T01:30:20.8087920Z  - 
2022-11-23T01:30:20.8088040Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8088101Z             {
2022-11-23T01:30:20.8088233Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8088446Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8088560Z                 'obj_weakref': None
2022-11-23T01:30:20.8088765Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8088830Z             }
2022-11-23T01:30:20.8088890Z             
2022-11-23T01:30:20.8089152Z [2022-11-23 01:29:45,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 490
2022-11-23T01:30:20.8089512Z [2022-11-23 01:29:46,816] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6e/c6edlf4m3vz5idj3rw3fpy5s3cy446mbejasz6fu3juscznjyxa7.py
2022-11-23T01:30:20.8089774Z [2022-11-23 01:29:46,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 490
2022-11-23T01:30:20.8089779Z 
2022-11-23T01:30:20.8089871Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8089938Z import torch
2022-11-23T01:30:20.8089993Z import random
2022-11-23T01:30:20.8090106Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8090225Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8090230Z 
2022-11-23T01:30:20.8090305Z aten = torch.ops.aten
2022-11-23T01:30:20.8090437Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8090530Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8090535Z 
2022-11-23T01:30:20.8090539Z 
2022-11-23T01:30:20.8090669Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8090873Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8091013Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.8091115Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:20.8091215Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8091274Z {
2022-11-23T01:30:20.8091370Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8091429Z     {
2022-11-23T01:30:20.8091503Z         #pragma omp for 
2022-11-23T01:30:20.8091571Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8091632Z         {
2022-11-23T01:30:20.8091710Z             #pragma GCC ivdep
2022-11-23T01:30:20.8091791Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8091907Z             {
2022-11-23T01:30:20.8091970Z                 {
2022-11-23T01:30:20.8092034Z                     {
2022-11-23T01:30:20.8092123Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.8092213Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.8092324Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:30:20.8092418Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.8092511Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8092576Z                     }
2022-11-23T01:30:20.8092639Z                 }
2022-11-23T01:30:20.8092689Z             }
2022-11-23T01:30:20.8092750Z         }
2022-11-23T01:30:20.8092810Z     }
2022-11-23T01:30:20.8092868Z }
2022-11-23T01:30:20.8092943Z ''')
2022-11-23T01:30:20.8092949Z 
2022-11-23T01:30:20.8092953Z 
2022-11-23T01:30:20.8093038Z async_compile.wait(globals())
2022-11-23T01:30:20.8093112Z del async_compile
2022-11-23T01:30:20.8093118Z 
2022-11-23T01:30:20.8093175Z def call(args):
2022-11-23T01:30:20.8093252Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8093323Z     args.clear()
2022-11-23T01:30:20.8093522Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8093687Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8093755Z     del arg0_1
2022-11-23T01:30:20.8093819Z     del arg1_1
2022-11-23T01:30:20.8093876Z     return (buf0, )
2022-11-23T01:30:20.8093892Z 
2022-11-23T01:30:20.8093896Z 
2022-11-23T01:30:20.8093957Z if __name__ == "__main__":
2022-11-23T01:30:20.8094068Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8094188Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8094387Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8094574Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8094688Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8094693Z 
2022-11-23T01:30:20.8094758Z ok (1.395s)
2022-11-23T01:30:20.8095095Z   test_cpu_double_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:46,821] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8095402Z [2022-11-23 01:29:46,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8095616Z [2022-11-23 01:29:46,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8095867Z [2022-11-23 01:29:46,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8096144Z [2022-11-23 01:29:46,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8096589Z [2022-11-23 01:29:46,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8096938Z [2022-11-23 01:29:46,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8097305Z [2022-11-23 01:29:46,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8097687Z [2022-11-23 01:29:46,822] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8097781Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8097873Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8097934Z               4 BINARY_ADD
2022-11-23T01:30:20.8098022Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8098098Z               8 RETURN_VALUE
2022-11-23T01:30:20.8098193Z  
2022-11-23T01:30:20.8098198Z 
2022-11-23T01:30:20.8098514Z [2022-11-23 01:29:46,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8098726Z [2022-11-23 01:29:46,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8098966Z [2022-11-23 01:29:46,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8099239Z [2022-11-23 01:29:46,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8099466Z [2022-11-23 01:29:46,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8099712Z [2022-11-23 01:29:46,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8100094Z [2022-11-23 01:29:46,823] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8100344Z [2022-11-23 01:29:46,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8100579Z [2022-11-23 01:29:46,823] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8100834Z [2022-11-23 01:29:46,824] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8101081Z [2022-11-23 01:29:46,827] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8101270Z [2022-11-23 01:29:46,827] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8101405Z  __compiled_fn_499 <eval_with_key>.3813 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8101481Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8101567Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8101749Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8101844Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8101849Z 
2022-11-23T01:30:20.8102172Z [2022-11-23 01:29:46,828] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8102269Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8102359Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8102450Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8102532Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8102618Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8102708Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8102785Z              12 RETURN_VALUE
2022-11-23T01:30:20.8102790Z 
2022-11-23T01:30:20.8102854Z  
2022-11-23T01:30:20.8103175Z [2022-11-23 01:29:46,828] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8103285Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_499)
2022-11-23T01:30:20.8103376Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8103453Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8103562Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8103653Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8103742Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8103819Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8103907Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8104011Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8104100Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8104188Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8104264Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8104379Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8104454Z              26 RETURN_VALUE
2022-11-23T01:30:20.8104460Z 
2022-11-23T01:30:20.8104521Z  
2022-11-23T01:30:20.8104704Z [2022-11-23 01:29:46,829] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8104761Z  - 
2022-11-23T01:30:20.8104880Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8104947Z             {
2022-11-23T01:30:20.8105088Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8105274Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8105391Z                 'obj_weakref': None
2022-11-23T01:30:20.8105616Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8105668Z             }
2022-11-23T01:30:20.8105731Z             
2022-11-23T01:30:20.8105799Z  - 
2022-11-23T01:30:20.8105924Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8105986Z             {
2022-11-23T01:30:20.8106131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8106235Z                 'code': None,
2022-11-23T01:30:20.8106435Z                 'obj_weakref': <weakref at 0x7ff57ed87b00; to 'Tensor' at 0x7ff5a8692bb0>
2022-11-23T01:30:20.8106693Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8106755Z             }
2022-11-23T01:30:20.8106817Z             
2022-11-23T01:30:20.8106889Z  - 
2022-11-23T01:30:20.8107013Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8107075Z             {
2022-11-23T01:30:20.8107203Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8107306Z                 'code': None,
2022-11-23T01:30:20.8107515Z                 'obj_weakref': <weakref at 0x7ff58ff495d0; to 'Tensor' at 0x7ff5a80791c0>
2022-11-23T01:30:20.8107767Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8107833Z             }
2022-11-23T01:30:20.8107898Z             
2022-11-23T01:30:20.8107965Z  - 
2022-11-23T01:30:20.8108081Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8108140Z             {
2022-11-23T01:30:20.8108272Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8108441Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8108557Z                 'obj_weakref': None
2022-11-23T01:30:20.8108787Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8108848Z             }
2022-11-23T01:30:20.8108898Z             
2022-11-23T01:30:20.8108965Z  - 
2022-11-23T01:30:20.8109082Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8109145Z             {
2022-11-23T01:30:20.8109277Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8109490Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8109607Z                 'obj_weakref': None
2022-11-23T01:30:20.8109813Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8109874Z             }
2022-11-23T01:30:20.8109934Z             
2022-11-23T01:30:20.8110223Z [2022-11-23 01:29:46,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 491
2022-11-23T01:30:20.8110592Z [2022-11-23 01:29:48,219] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j5/cj57urj7xnbr5edrxbttcvplfwbqt56zxvqmjzqif7gbdpqlrzej.py
2022-11-23T01:30:20.8110854Z [2022-11-23 01:29:48,220] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 491
2022-11-23T01:30:20.8110859Z 
2022-11-23T01:30:20.8110950Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8111018Z import torch
2022-11-23T01:30:20.8111073Z import random
2022-11-23T01:30:20.8111186Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8111332Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8111337Z 
2022-11-23T01:30:20.8111412Z aten = torch.ops.aten
2022-11-23T01:30:20.8111544Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8111637Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8111641Z 
2022-11-23T01:30:20.8111646Z 
2022-11-23T01:30:20.8111779Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8111982Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8112089Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.8112193Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8112291Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8112351Z {
2022-11-23T01:30:20.8112447Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8112507Z     {
2022-11-23T01:30:20.8112585Z         #pragma omp for 
2022-11-23T01:30:20.8112657Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8112717Z         {
2022-11-23T01:30:20.8112794Z             #pragma GCC ivdep
2022-11-23T01:30:20.8112877Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8112939Z             {
2022-11-23T01:30:20.8113002Z                 {
2022-11-23T01:30:20.8113067Z                     {
2022-11-23T01:30:20.8113158Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.8113261Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8113370Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:30:20.8113462Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.8113555Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8113622Z                     }
2022-11-23T01:30:20.8113685Z                 }
2022-11-23T01:30:20.8113736Z             }
2022-11-23T01:30:20.8113863Z         }
2022-11-23T01:30:20.8113927Z     }
2022-11-23T01:30:20.8113989Z }
2022-11-23T01:30:20.8114070Z ''')
2022-11-23T01:30:20.8114075Z 
2022-11-23T01:30:20.8114079Z 
2022-11-23T01:30:20.8114167Z async_compile.wait(globals())
2022-11-23T01:30:20.8114238Z del async_compile
2022-11-23T01:30:20.8114243Z 
2022-11-23T01:30:20.8114299Z def call(args):
2022-11-23T01:30:20.8114373Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8114445Z     args.clear()
2022-11-23T01:30:20.8114646Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8114807Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8114873Z     del arg0_1
2022-11-23T01:30:20.8114939Z     del arg1_1
2022-11-23T01:30:20.8114997Z     return (buf0, )
2022-11-23T01:30:20.8115015Z 
2022-11-23T01:30:20.8115019Z 
2022-11-23T01:30:20.8115081Z if __name__ == "__main__":
2022-11-23T01:30:20.8115193Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8115313Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8115514Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8115711Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8115825Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8115829Z 
2022-11-23T01:30:20.8115927Z ok (1.404s)
2022-11-23T01:30:20.8116276Z   test_cpu_double_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:48,225] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8116580Z [2022-11-23 01:29:48,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8116794Z [2022-11-23 01:29:48,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8117045Z [2022-11-23 01:29:48,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8117353Z [2022-11-23 01:29:48,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8117666Z [2022-11-23 01:29:48,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8118017Z [2022-11-23 01:29:48,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8118337Z [2022-11-23 01:29:48,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8118713Z [2022-11-23 01:29:48,226] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8118808Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8118899Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8118960Z               4 BINARY_ADD
2022-11-23T01:30:20.8119048Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8119122Z               8 RETURN_VALUE
2022-11-23T01:30:20.8119181Z  
2022-11-23T01:30:20.8119186Z 
2022-11-23T01:30:20.8119501Z [2022-11-23 01:29:48,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8119707Z [2022-11-23 01:29:48,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8119942Z [2022-11-23 01:29:48,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8120215Z [2022-11-23 01:29:48,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8120443Z [2022-11-23 01:29:48,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8120688Z [2022-11-23 01:29:48,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8121077Z [2022-11-23 01:29:48,227] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8121323Z [2022-11-23 01:29:48,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8121555Z [2022-11-23 01:29:48,227] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8121807Z [2022-11-23 01:29:48,228] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8122053Z [2022-11-23 01:29:48,231] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8122240Z [2022-11-23 01:29:48,231] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8122375Z  __compiled_fn_500 <eval_with_key>.3819 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8122453Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8122537Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8122712Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8122833Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8122839Z 
2022-11-23T01:30:20.8123163Z [2022-11-23 01:29:48,232] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8123255Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8123343Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8123429Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8123508Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8123591Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8123708Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8123783Z              12 RETURN_VALUE
2022-11-23T01:30:20.8123788Z 
2022-11-23T01:30:20.8123847Z  
2022-11-23T01:30:20.8124165Z [2022-11-23 01:29:48,232] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8124275Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_500)
2022-11-23T01:30:20.8124362Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8124438Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8124512Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8124599Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8124683Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8124755Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8124840Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8124942Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8125031Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8125117Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8125192Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8125276Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8125349Z              26 RETURN_VALUE
2022-11-23T01:30:20.8125356Z 
2022-11-23T01:30:20.8125415Z  
2022-11-23T01:30:20.8125595Z [2022-11-23 01:29:48,232] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8125651Z  - 
2022-11-23T01:30:20.8125767Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8125829Z             {
2022-11-23T01:30:20.8125968Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8126154Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8126272Z                 'obj_weakref': None
2022-11-23T01:30:20.8126494Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8126547Z             }
2022-11-23T01:30:20.8126608Z             
2022-11-23T01:30:20.8126675Z  - 
2022-11-23T01:30:20.8126797Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8126858Z             {
2022-11-23T01:30:20.8126997Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8127103Z                 'code': None,
2022-11-23T01:30:20.8127305Z                 'obj_weakref': <weakref at 0x7ff57ee34310; to 'Tensor' at 0x7ff58fc4c1d0>
2022-11-23T01:30:20.8127555Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8127617Z             }
2022-11-23T01:30:20.8127679Z             
2022-11-23T01:30:20.8127748Z  - 
2022-11-23T01:30:20.8127871Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8127931Z             {
2022-11-23T01:30:20.8128059Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8128166Z                 'code': None,
2022-11-23T01:30:20.8128379Z                 'obj_weakref': <weakref at 0x7ff5a81ba520; to 'Tensor' at 0x7ff57eeaab10>
2022-11-23T01:30:20.8128630Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8128694Z             }
2022-11-23T01:30:20.8128755Z             
2022-11-23T01:30:20.8128822Z  - 
2022-11-23T01:30:20.8128975Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8129038Z             {
2022-11-23T01:30:20.8129172Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8129339Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8129455Z                 'obj_weakref': None
2022-11-23T01:30:20.8129681Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8129743Z             }
2022-11-23T01:30:20.8129793Z             
2022-11-23T01:30:20.8129860Z  - 
2022-11-23T01:30:20.8129980Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8130068Z             {
2022-11-23T01:30:20.8130202Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8130417Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8130533Z                 'obj_weakref': None
2022-11-23T01:30:20.8130741Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8130804Z             }
2022-11-23T01:30:20.8130865Z             
2022-11-23T01:30:20.8131126Z [2022-11-23 01:29:48,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 492
2022-11-23T01:30:20.8131488Z [2022-11-23 01:29:49,616] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czw4an2o3cwhsmmoq67bvszov7srjljtfbfcnk25rxvq2nx7rk7i.py
2022-11-23T01:30:20.8131748Z [2022-11-23 01:29:49,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 492
2022-11-23T01:30:20.8131757Z 
2022-11-23T01:30:20.8131847Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8131915Z import torch
2022-11-23T01:30:20.8131971Z import random
2022-11-23T01:30:20.8132083Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8132202Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8132207Z 
2022-11-23T01:30:20.8132285Z aten = torch.ops.aten
2022-11-23T01:30:20.8132417Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8132506Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8132512Z 
2022-11-23T01:30:20.8132516Z 
2022-11-23T01:30:20.8132648Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8132850Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8132958Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:30:20.8133060Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8133159Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8133220Z {
2022-11-23T01:30:20.8133317Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8133376Z     {
2022-11-23T01:30:20.8133451Z         #pragma omp for 
2022-11-23T01:30:20.8133521Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8133581Z         {
2022-11-23T01:30:20.8133661Z             #pragma GCC ivdep
2022-11-23T01:30:20.8133747Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8133809Z             {
2022-11-23T01:30:20.8133871Z                 {
2022-11-23T01:30:20.8133937Z                     {
2022-11-23T01:30:20.8134027Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.8134125Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:30:20.8134234Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:30:20.8134327Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.8134420Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8134487Z                     }
2022-11-23T01:30:20.8134551Z                 }
2022-11-23T01:30:20.8134601Z             }
2022-11-23T01:30:20.8134661Z         }
2022-11-23T01:30:20.8134720Z     }
2022-11-23T01:30:20.8134778Z }
2022-11-23T01:30:20.8134854Z ''')
2022-11-23T01:30:20.8134859Z 
2022-11-23T01:30:20.8134863Z 
2022-11-23T01:30:20.8134976Z async_compile.wait(globals())
2022-11-23T01:30:20.8135047Z del async_compile
2022-11-23T01:30:20.8135052Z 
2022-11-23T01:30:20.8135108Z def call(args):
2022-11-23T01:30:20.8135185Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8135255Z     args.clear()
2022-11-23T01:30:20.8135455Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8135620Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8135690Z     del arg0_1
2022-11-23T01:30:20.8135758Z     del arg1_1
2022-11-23T01:30:20.8135816Z     return (buf0, )
2022-11-23T01:30:20.8135850Z 
2022-11-23T01:30:20.8135868Z 
2022-11-23T01:30:20.8135932Z if __name__ == "__main__":
2022-11-23T01:30:20.8136045Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8136168Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8136370Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8136694Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8136810Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8136815Z 
2022-11-23T01:30:20.8136882Z ok (1.396s)
2022-11-23T01:30:20.8137208Z   test_cpu_int_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8137525Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8137749Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8138001Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8138282Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8138604Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8138950Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8139272Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8139655Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8139749Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8139827Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8139902Z               4 BINARY_ADD
2022-11-23T01:30:20.8139992Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8140069Z               8 RETURN_VALUE
2022-11-23T01:30:20.8140130Z  
2022-11-23T01:30:20.8140135Z 
2022-11-23T01:30:20.8140449Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8140660Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8140896Z [2022-11-23 01:29:49,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8141170Z [2022-11-23 01:29:49,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8141398Z [2022-11-23 01:29:49,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8141692Z [2022-11-23 01:29:49,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8142078Z [2022-11-23 01:29:49,623] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8142324Z [2022-11-23 01:29:49,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8142559Z [2022-11-23 01:29:49,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8142813Z [2022-11-23 01:29:49,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8143101Z [2022-11-23 01:29:49,626] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8143290Z [2022-11-23 01:29:49,626] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8143426Z  __compiled_fn_501 <eval_with_key>.3825 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8143505Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8143592Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8143770Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8143866Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8143871Z 
2022-11-23T01:30:20.8144197Z [2022-11-23 01:29:49,627] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8144292Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8144384Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8144474Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8144554Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8144640Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8144728Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8144805Z              12 RETURN_VALUE
2022-11-23T01:30:20.8144810Z 
2022-11-23T01:30:20.8144873Z  
2022-11-23T01:30:20.8145193Z [2022-11-23 01:29:49,627] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8145298Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_501)
2022-11-23T01:30:20.8145376Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8145466Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8145543Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8145633Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8145718Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8145795Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8145881Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8145972Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8146074Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8146163Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8146239Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8146325Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8146400Z              26 RETURN_VALUE
2022-11-23T01:30:20.8146404Z 
2022-11-23T01:30:20.8146463Z  
2022-11-23T01:30:20.8146644Z [2022-11-23 01:29:49,628] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8146701Z  - 
2022-11-23T01:30:20.8146817Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8146881Z             {
2022-11-23T01:30:20.8147022Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8147206Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8147326Z                 'obj_weakref': None
2022-11-23T01:30:20.8147547Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8147599Z             }
2022-11-23T01:30:20.8147660Z             
2022-11-23T01:30:20.8147727Z  - 
2022-11-23T01:30:20.8147876Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8147939Z             {
2022-11-23T01:30:20.8148080Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8148184Z                 'code': None,
2022-11-23T01:30:20.8148383Z                 'obj_weakref': <weakref at 0x7ff57ed86250; to 'Tensor' at 0x7ff5a8692bb0>
2022-11-23T01:30:20.8148634Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8148698Z             }
2022-11-23T01:30:20.8148760Z             
2022-11-23T01:30:20.8148827Z  - 
2022-11-23T01:30:20.8148974Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8149034Z             {
2022-11-23T01:30:20.8149164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8149267Z                 'code': None,
2022-11-23T01:30:20.8149476Z                 'obj_weakref': <weakref at 0x7ff57ed87740; to 'Tensor' at 0x7ff57ff15f80>
2022-11-23T01:30:20.8149729Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8149791Z             }
2022-11-23T01:30:20.8149852Z             
2022-11-23T01:30:20.8149919Z  - 
2022-11-23T01:30:20.8150035Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8150096Z             {
2022-11-23T01:30:20.8150227Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8150396Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8150512Z                 'obj_weakref': None
2022-11-23T01:30:20.8150739Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8150804Z             }
2022-11-23T01:30:20.8150854Z             
2022-11-23T01:30:20.8150921Z  - 
2022-11-23T01:30:20.8151040Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8151102Z             {
2022-11-23T01:30:20.8151238Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8151454Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8151570Z                 'obj_weakref': None
2022-11-23T01:30:20.8151776Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8151837Z             }
2022-11-23T01:30:20.8151899Z             
2022-11-23T01:30:20.8152156Z [2022-11-23 01:29:49,632] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 493
2022-11-23T01:30:20.8152527Z [2022-11-23 01:29:51,024] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tb/ctbnqunwlrr7btsuwzylssorlm4tqsejymvsvax4lsmfdmtuef6f.py
2022-11-23T01:30:20.8152791Z [2022-11-23 01:29:51,024] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 493
2022-11-23T01:30:20.8152797Z 
2022-11-23T01:30:20.8152887Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8152955Z import torch
2022-11-23T01:30:20.8153013Z import random
2022-11-23T01:30:20.8153126Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8153245Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8153250Z 
2022-11-23T01:30:20.8153326Z aten = torch.ops.aten
2022-11-23T01:30:20.8153457Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8153547Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8153552Z 
2022-11-23T01:30:20.8153557Z 
2022-11-23T01:30:20.8153688Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8153959Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8154066Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.8154170Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8154269Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8154330Z {
2022-11-23T01:30:20.8154426Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8154521Z     {
2022-11-23T01:30:20.8154598Z         #pragma omp for 
2022-11-23T01:30:20.8154667Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8154728Z         {
2022-11-23T01:30:20.8154791Z             {
2022-11-23T01:30:20.8154854Z                 {
2022-11-23T01:30:20.8154946Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8155037Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:20.8155143Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.8155221Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8155304Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.8155396Z                 }
2022-11-23T01:30:20.8155459Z             }
2022-11-23T01:30:20.8155520Z         }
2022-11-23T01:30:20.8155581Z     }
2022-11-23T01:30:20.8155627Z }
2022-11-23T01:30:20.8155709Z ''')
2022-11-23T01:30:20.8155714Z 
2022-11-23T01:30:20.8155718Z 
2022-11-23T01:30:20.8155807Z async_compile.wait(globals())
2022-11-23T01:30:20.8155880Z del async_compile
2022-11-23T01:30:20.8155885Z 
2022-11-23T01:30:20.8155955Z def call(args):
2022-11-23T01:30:20.8156029Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8156098Z     args.clear()
2022-11-23T01:30:20.8156288Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8156437Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8156502Z     del arg0_1
2022-11-23T01:30:20.8156567Z     del arg1_1
2022-11-23T01:30:20.8156637Z     return (buf0, )
2022-11-23T01:30:20.8156643Z 
2022-11-23T01:30:20.8156647Z 
2022-11-23T01:30:20.8156723Z if __name__ == "__main__":
2022-11-23T01:30:20.8156835Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8156955Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8157133Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8157325Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8157436Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8157441Z 
2022-11-23T01:30:20.8157506Z ok (1.408s)
2022-11-23T01:30:20.8157845Z   test_cpu_int_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:51,029] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8158157Z [2022-11-23 01:29:51,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8158373Z [2022-11-23 01:29:51,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8158626Z [2022-11-23 01:29:51,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8158901Z [2022-11-23 01:29:51,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8159220Z [2022-11-23 01:29:51,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8159554Z [2022-11-23 01:29:51,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8159877Z [2022-11-23 01:29:51,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8160257Z [2022-11-23 01:29:51,030] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8160350Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8160444Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8160516Z               4 BINARY_ADD
2022-11-23T01:30:20.8160628Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8160704Z               8 RETURN_VALUE
2022-11-23T01:30:20.8160753Z  
2022-11-23T01:30:20.8160758Z 
2022-11-23T01:30:20.8161068Z [2022-11-23 01:29:51,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8161274Z [2022-11-23 01:29:51,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8161509Z [2022-11-23 01:29:51,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8161778Z [2022-11-23 01:29:51,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8162044Z [2022-11-23 01:29:51,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8162288Z [2022-11-23 01:29:51,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8162678Z [2022-11-23 01:29:51,031] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8162923Z [2022-11-23 01:29:51,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8163154Z [2022-11-23 01:29:51,032] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8163394Z [2022-11-23 01:29:51,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8163641Z [2022-11-23 01:29:51,035] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8163828Z [2022-11-23 01:29:51,035] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8163961Z  __compiled_fn_502 <eval_with_key>.3831 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8164048Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8164134Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8164310Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8164402Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8164406Z 
2022-11-23T01:30:20.8164713Z [2022-11-23 01:29:51,036] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8164804Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8164891Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8164976Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8165069Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8165152Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8165239Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8165302Z              12 RETURN_VALUE
2022-11-23T01:30:20.8165319Z 
2022-11-23T01:30:20.8165366Z  
2022-11-23T01:30:20.8165686Z [2022-11-23 01:29:51,036] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8165792Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_502)
2022-11-23T01:30:20.8165881Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8165968Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8166043Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8166129Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8166204Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8166278Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8166367Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8166471Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8166570Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8166657Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8166757Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8166832Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8166905Z              26 RETURN_VALUE
2022-11-23T01:30:20.8166910Z 
2022-11-23T01:30:20.8166969Z  
2022-11-23T01:30:20.8167150Z [2022-11-23 01:29:51,036] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8167218Z  - 
2022-11-23T01:30:20.8167334Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8167398Z             {
2022-11-23T01:30:20.8167524Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8167707Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8167855Z                 'obj_weakref': None
2022-11-23T01:30:20.8168080Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8168143Z             }
2022-11-23T01:30:20.8168204Z             
2022-11-23T01:30:20.8168271Z  - 
2022-11-23T01:30:20.8168381Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8168444Z             {
2022-11-23T01:30:20.8168585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8168691Z                 'code': None,
2022-11-23T01:30:20.8168901Z                 'obj_weakref': <weakref at 0x7ff57f946610; to 'Tensor' at 0x7ff57efe4770>
2022-11-23T01:30:20.8169155Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8169216Z             }
2022-11-23T01:30:20.8169278Z             
2022-11-23T01:30:20.8169333Z  - 
2022-11-23T01:30:20.8169456Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8169521Z             {
2022-11-23T01:30:20.8169663Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8169766Z                 'code': None,
2022-11-23T01:30:20.8169973Z                 'obj_weakref': <weakref at 0x7ff57f945760; to 'Tensor' at 0x7ff59c18fce0>
2022-11-23T01:30:20.8170229Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8170280Z             }
2022-11-23T01:30:20.8170341Z             
2022-11-23T01:30:20.8170410Z  - 
2022-11-23T01:30:20.8170537Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8170599Z             {
2022-11-23T01:30:20.8170729Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8170885Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8171001Z                 'obj_weakref': None
2022-11-23T01:30:20.8171226Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8171291Z             }
2022-11-23T01:30:20.8171353Z             
2022-11-23T01:30:20.8171423Z  - 
2022-11-23T01:30:20.8171541Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8171591Z             {
2022-11-23T01:30:20.8171724Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8171941Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8172059Z                 'obj_weakref': None
2022-11-23T01:30:20.8172277Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8172340Z             }
2022-11-23T01:30:20.8172404Z             
2022-11-23T01:30:20.8172664Z [2022-11-23 01:29:51,041] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 494
2022-11-23T01:30:20.8173018Z [2022-11-23 01:29:52,432] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjnmlc77v7p4fnwd4pjgtqtm5sqnijujvzrtfhtpytaj5znxswzl.py
2022-11-23T01:30:20.8173283Z [2022-11-23 01:29:52,432] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 494
2022-11-23T01:30:20.8173289Z 
2022-11-23T01:30:20.8173380Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8173449Z import torch
2022-11-23T01:30:20.8173517Z import random
2022-11-23T01:30:20.8173666Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8173786Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8173792Z 
2022-11-23T01:30:20.8173867Z aten = torch.ops.aten
2022-11-23T01:30:20.8173989Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8174079Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8174084Z 
2022-11-23T01:30:20.8174088Z 
2022-11-23T01:30:20.8174220Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8174424Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8174538Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.8174669Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8174768Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8174830Z {
2022-11-23T01:30:20.8174914Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8174974Z     {
2022-11-23T01:30:20.8175051Z         #pragma omp for 
2022-11-23T01:30:20.8175129Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8175190Z         {
2022-11-23T01:30:20.8175270Z             #pragma GCC ivdep
2022-11-23T01:30:20.8175342Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8175405Z             {
2022-11-23T01:30:20.8175469Z                 {
2022-11-23T01:30:20.8175536Z                     {
2022-11-23T01:30:20.8175631Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.8175726Z                         auto tmp2 = in_ptr1[i0];
2022-11-23T01:30:20.8175836Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.8175918Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8176015Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8176082Z                     }
2022-11-23T01:30:20.8176149Z                 }
2022-11-23T01:30:20.8176213Z             }
2022-11-23T01:30:20.8176275Z         }
2022-11-23T01:30:20.8176337Z     }
2022-11-23T01:30:20.8176386Z }
2022-11-23T01:30:20.8176603Z ''')
2022-11-23T01:30:20.8176609Z 
2022-11-23T01:30:20.8176613Z 
2022-11-23T01:30:20.8176705Z async_compile.wait(globals())
2022-11-23T01:30:20.8176778Z del async_compile
2022-11-23T01:30:20.8176783Z 
2022-11-23T01:30:20.8176855Z def call(args):
2022-11-23T01:30:20.8176935Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8177010Z     args.clear()
2022-11-23T01:30:20.8177207Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8177368Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8177440Z     del arg0_1
2022-11-23T01:30:20.8177508Z     del arg1_1
2022-11-23T01:30:20.8177580Z     return (buf0, )
2022-11-23T01:30:20.8177585Z 
2022-11-23T01:30:20.8177588Z 
2022-11-23T01:30:20.8177665Z if __name__ == "__main__":
2022-11-23T01:30:20.8177782Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8177906Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8178086Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8178295Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8178410Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8178414Z 
2022-11-23T01:30:20.8178481Z ok (1.408s)
2022-11-23T01:30:20.8178821Z   test_cpu_int_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:52,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8179139Z [2022-11-23 01:29:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8179361Z [2022-11-23 01:29:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8179660Z [2022-11-23 01:29:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8179936Z [2022-11-23 01:29:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8180242Z [2022-11-23 01:29:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8180585Z [2022-11-23 01:29:52,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8180910Z [2022-11-23 01:29:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8181327Z [2022-11-23 01:29:52,438] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8181421Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8181513Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8181587Z               4 BINARY_ADD
2022-11-23T01:30:20.8181675Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8181752Z               8 RETURN_VALUE
2022-11-23T01:30:20.8181800Z  
2022-11-23T01:30:20.8181805Z 
2022-11-23T01:30:20.8182118Z [2022-11-23 01:29:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8182327Z [2022-11-23 01:29:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8182566Z [2022-11-23 01:29:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8182837Z [2022-11-23 01:29:52,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8183081Z [2022-11-23 01:29:52,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8183328Z [2022-11-23 01:29:52,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8183711Z [2022-11-23 01:29:52,439] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8183952Z [2022-11-23 01:29:52,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8184171Z [2022-11-23 01:29:52,439] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8184428Z [2022-11-23 01:29:52,440] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8184678Z [2022-11-23 01:29:52,443] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8184867Z [2022-11-23 01:29:52,443] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8185003Z  __compiled_fn_503 <eval_with_key>.3837 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8185092Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8185177Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8185355Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8185438Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8185454Z 
2022-11-23T01:30:20.8185763Z [2022-11-23 01:29:52,443] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8185857Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8185946Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8186032Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8186123Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8186206Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8186320Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8186384Z              12 RETURN_VALUE
2022-11-23T01:30:20.8186389Z 
2022-11-23T01:30:20.8186448Z  
2022-11-23T01:30:20.8186768Z [2022-11-23 01:29:52,444] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8186876Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_503)
2022-11-23T01:30:20.8186966Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8187052Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8187154Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8187241Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8187314Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8187387Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8187473Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8187579Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8187679Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8187765Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8187838Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8187911Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8187983Z              26 RETURN_VALUE
2022-11-23T01:30:20.8187989Z 
2022-11-23T01:30:20.8188048Z  
2022-11-23T01:30:20.8188231Z [2022-11-23 01:29:52,444] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8188301Z  - 
2022-11-23T01:30:20.8188419Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8188481Z             {
2022-11-23T01:30:20.8188608Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8188794Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8188911Z                 'obj_weakref': None
2022-11-23T01:30:20.8189133Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8189200Z             }
2022-11-23T01:30:20.8189260Z             
2022-11-23T01:30:20.8189328Z  - 
2022-11-23T01:30:20.8189439Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8189500Z             {
2022-11-23T01:30:20.8189640Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8189745Z                 'code': None,
2022-11-23T01:30:20.8189957Z                 'obj_weakref': <weakref at 0x7ff59c0eff10; to 'Tensor' at 0x7ff5a8692bb0>
2022-11-23T01:30:20.8190206Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8190270Z             }
2022-11-23T01:30:20.8190320Z             
2022-11-23T01:30:20.8190387Z  - 
2022-11-23T01:30:20.8190510Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8190572Z             {
2022-11-23T01:30:20.8190713Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8190819Z                 'code': None,
2022-11-23T01:30:20.8191031Z                 'obj_weakref': <weakref at 0x7ff59c0ec0e0; to 'Tensor' at 0x7ff58ff15800>
2022-11-23T01:30:20.8191267Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8191328Z             }
2022-11-23T01:30:20.8191387Z             
2022-11-23T01:30:20.8191454Z  - 
2022-11-23T01:30:20.8191582Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8191643Z             {
2022-11-23T01:30:20.8191775Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8191933Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8192052Z                 'obj_weakref': None
2022-11-23T01:30:20.8192279Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8192341Z             }
2022-11-23T01:30:20.8192404Z             
2022-11-23T01:30:20.8192470Z  - 
2022-11-23T01:30:20.8192640Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8192692Z             {
2022-11-23T01:30:20.8192824Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8193036Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8193152Z                 'obj_weakref': None
2022-11-23T01:30:20.8193370Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8193432Z             }
2022-11-23T01:30:20.8193494Z             
2022-11-23T01:30:20.8193738Z [2022-11-23 01:29:52,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 495
2022-11-23T01:30:20.8194224Z [2022-11-23 01:29:53,897] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cflldtla6ageqynnbv4dszmisgcc35bjg3acgcgeke3ctnejebcn.py
2022-11-23T01:30:20.8194490Z [2022-11-23 01:29:53,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 495
2022-11-23T01:30:20.8194499Z 
2022-11-23T01:30:20.8194592Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8194664Z import torch
2022-11-23T01:30:20.8194737Z import random
2022-11-23T01:30:20.8194852Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8194972Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8194978Z 
2022-11-23T01:30:20.8195042Z aten = torch.ops.aten
2022-11-23T01:30:20.8195175Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8195265Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8195270Z 
2022-11-23T01:30:20.8195275Z 
2022-11-23T01:30:20.8195411Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8195615Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8195730Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.8195833Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8195933Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8195981Z {
2022-11-23T01:30:20.8196076Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8196141Z     {
2022-11-23T01:30:20.8196218Z         #pragma omp for 
2022-11-23T01:30:20.8196301Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8196366Z         {
2022-11-23T01:30:20.8196427Z             {
2022-11-23T01:30:20.8196479Z                 {
2022-11-23T01:30:20.8196569Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8196659Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:30:20.8196763Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.8196854Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8196936Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:30:20.8197000Z                 }
2022-11-23T01:30:20.8197050Z             }
2022-11-23T01:30:20.8197111Z         }
2022-11-23T01:30:20.8197172Z     }
2022-11-23T01:30:20.8197230Z }
2022-11-23T01:30:20.8197307Z ''')
2022-11-23T01:30:20.8197312Z 
2022-11-23T01:30:20.8197316Z 
2022-11-23T01:30:20.8197400Z async_compile.wait(globals())
2022-11-23T01:30:20.8197469Z del async_compile
2022-11-23T01:30:20.8197474Z 
2022-11-23T01:30:20.8197530Z def call(args):
2022-11-23T01:30:20.8197603Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8197672Z     args.clear()
2022-11-23T01:30:20.8197866Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8198026Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8198092Z     del arg0_1
2022-11-23T01:30:20.8198160Z     del arg1_1
2022-11-23T01:30:20.8198218Z     return (buf0, )
2022-11-23T01:30:20.8198223Z 
2022-11-23T01:30:20.8198239Z 
2022-11-23T01:30:20.8198301Z if __name__ == "__main__":
2022-11-23T01:30:20.8198412Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8198534Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8198754Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8198949Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8199061Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8199066Z 
2022-11-23T01:30:20.8199132Z ok (1.464s)
2022-11-23T01:30:20.8199449Z   test_cpu_int_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8199763Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8200025Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8200276Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8200553Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8200871Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8201215Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8201539Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8201918Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8202007Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8202088Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8202162Z               4 BINARY_ADD
2022-11-23T01:30:20.8202248Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8202323Z               8 RETURN_VALUE
2022-11-23T01:30:20.8202383Z  
2022-11-23T01:30:20.8202388Z 
2022-11-23T01:30:20.8202701Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8202909Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8203147Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8203410Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8203648Z [2022-11-23 01:29:53,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8203893Z [2022-11-23 01:29:53,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8204276Z [2022-11-23 01:29:53,904] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8204518Z [2022-11-23 01:29:53,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8204749Z [2022-11-23 01:29:53,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8204999Z [2022-11-23 01:29:53,905] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8205247Z [2022-11-23 01:29:53,907] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8205436Z [2022-11-23 01:29:53,908] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8205599Z  __compiled_fn_504 <eval_with_key>.3843 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8205676Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8205758Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8205933Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8206027Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8206032Z 
2022-11-23T01:30:20.8206355Z [2022-11-23 01:29:53,908] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8206450Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8206570Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8206654Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8206733Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8206820Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8206908Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8206986Z              12 RETURN_VALUE
2022-11-23T01:30:20.8206992Z 
2022-11-23T01:30:20.8207051Z  
2022-11-23T01:30:20.8207369Z [2022-11-23 01:29:53,908] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8207474Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_504)
2022-11-23T01:30:20.8207551Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8207637Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8207712Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8207798Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8207886Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8207960Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8208046Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8208136Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8208236Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8208322Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8208398Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8208486Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8208559Z              26 RETURN_VALUE
2022-11-23T01:30:20.8208564Z 
2022-11-23T01:30:20.8208622Z  
2022-11-23T01:30:20.8208802Z [2022-11-23 01:29:53,909] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8208859Z  - 
2022-11-23T01:30:20.8208974Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8209040Z             {
2022-11-23T01:30:20.8209178Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8209366Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8209482Z                 'obj_weakref': None
2022-11-23T01:30:20.8209704Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8209758Z             }
2022-11-23T01:30:20.8209821Z             
2022-11-23T01:30:20.8209887Z  - 
2022-11-23T01:30:20.8210011Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8210071Z             {
2022-11-23T01:30:20.8210211Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8210313Z                 'code': None,
2022-11-23T01:30:20.8210513Z                 'obj_weakref': <weakref at 0x7ff58f91fce0; to 'Tensor' at 0x7ff5a811e750>
2022-11-23T01:30:20.8210766Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8210827Z             }
2022-11-23T01:30:20.8210893Z             
2022-11-23T01:30:20.8210965Z  - 
2022-11-23T01:30:20.8211087Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8211147Z             {
2022-11-23T01:30:20.8211277Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8211380Z                 'code': None,
2022-11-23T01:30:20.8211617Z                 'obj_weakref': <weakref at 0x7ff58f91ff60; to 'Tensor' at 0x7ff58fc4c1d0>
2022-11-23T01:30:20.8211870Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8211932Z             }
2022-11-23T01:30:20.8211993Z             
2022-11-23T01:30:20.8212060Z  - 
2022-11-23T01:30:20.8212177Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8212238Z             {
2022-11-23T01:30:20.8212371Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8212538Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8212655Z                 'obj_weakref': None
2022-11-23T01:30:20.8212909Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8212971Z             }
2022-11-23T01:30:20.8213021Z             
2022-11-23T01:30:20.8213091Z  - 
2022-11-23T01:30:20.8213210Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8213271Z             {
2022-11-23T01:30:20.8213406Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8213622Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8213738Z                 'obj_weakref': None
2022-11-23T01:30:20.8213944Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8214007Z             }
2022-11-23T01:30:20.8214067Z             
2022-11-23T01:30:20.8214327Z [2022-11-23 01:29:53,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 496
2022-11-23T01:30:20.8214694Z [2022-11-23 01:29:55,315] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfka7e4bvoetn7n4zl52vx3bsak5hrgnjgulzwl65dqzj4qnnssi.py
2022-11-23T01:30:20.8214956Z [2022-11-23 01:29:55,315] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 496
2022-11-23T01:30:20.8214962Z 
2022-11-23T01:30:20.8215056Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8215123Z import torch
2022-11-23T01:30:20.8215180Z import random
2022-11-23T01:30:20.8215295Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8215416Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8215422Z 
2022-11-23T01:30:20.8215500Z aten = torch.ops.aten
2022-11-23T01:30:20.8215635Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8215728Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8215734Z 
2022-11-23T01:30:20.8215738Z 
2022-11-23T01:30:20.8215871Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8216077Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8216182Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.8216286Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8216386Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8216568Z {
2022-11-23T01:30:20.8216673Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8216736Z     {
2022-11-23T01:30:20.8216812Z         #pragma omp for 
2022-11-23T01:30:20.8216881Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8216943Z         {
2022-11-23T01:30:20.8217024Z             #pragma GCC ivdep
2022-11-23T01:30:20.8217109Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8217173Z             {
2022-11-23T01:30:20.8217240Z                 {
2022-11-23T01:30:20.8217293Z                     {
2022-11-23T01:30:20.8217390Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.8217495Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.8217606Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.8217699Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8217796Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8217863Z                     }
2022-11-23T01:30:20.8217993Z                 }
2022-11-23T01:30:20.8218045Z             }
2022-11-23T01:30:20.8218105Z         }
2022-11-23T01:30:20.8218168Z     }
2022-11-23T01:30:20.8218228Z }
2022-11-23T01:30:20.8218312Z ''')
2022-11-23T01:30:20.8218317Z 
2022-11-23T01:30:20.8218321Z 
2022-11-23T01:30:20.8218411Z async_compile.wait(globals())
2022-11-23T01:30:20.8218482Z del async_compile
2022-11-23T01:30:20.8218486Z 
2022-11-23T01:30:20.8218544Z def call(args):
2022-11-23T01:30:20.8218620Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8218690Z     args.clear()
2022-11-23T01:30:20.8218892Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8219092Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8219162Z     del arg0_1
2022-11-23T01:30:20.8219228Z     del arg1_1
2022-11-23T01:30:20.8219286Z     return (buf0, )
2022-11-23T01:30:20.8219291Z 
2022-11-23T01:30:20.8219295Z 
2022-11-23T01:30:20.8219372Z if __name__ == "__main__":
2022-11-23T01:30:20.8219487Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8219615Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8219808Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8220008Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8220122Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8220127Z 
2022-11-23T01:30:20.8220195Z ok (1.418s)
2022-11-23T01:30:20.8220513Z   test_cpu_int_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:55,319] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8220835Z [2022-11-23 01:29:55,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8221056Z [2022-11-23 01:29:55,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8221309Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8221585Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8221905Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8222247Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8222566Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8222948Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8223041Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8223120Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8223194Z               4 BINARY_ADD
2022-11-23T01:30:20.8223284Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8223359Z               8 RETURN_VALUE
2022-11-23T01:30:20.8223418Z  
2022-11-23T01:30:20.8223423Z 
2022-11-23T01:30:20.8223731Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8223942Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8224176Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8224461Z [2022-11-23 01:29:55,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8224703Z [2022-11-23 01:29:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8224948Z [2022-11-23 01:29:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8225327Z [2022-11-23 01:29:55,321] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8225567Z [2022-11-23 01:29:55,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8225825Z [2022-11-23 01:29:55,321] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8226074Z [2022-11-23 01:29:55,322] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8226323Z [2022-11-23 01:29:55,325] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8226511Z [2022-11-23 01:29:55,325] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8226632Z  __compiled_fn_505 <eval_with_key>.3849 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8226720Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8226807Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8226986Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8227079Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8227084Z 
2022-11-23T01:30:20.8227407Z [2022-11-23 01:29:55,326] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8227501Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8227589Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8227663Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8227754Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8227837Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8227924Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8228000Z              12 RETURN_VALUE
2022-11-23T01:30:20.8228005Z 
2022-11-23T01:30:20.8228064Z  
2022-11-23T01:30:20.8228384Z [2022-11-23 01:29:55,326] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8228492Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_505)
2022-11-23T01:30:20.8228570Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8228661Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8228736Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8228823Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8228909Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8228988Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8229074Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8229164Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8229262Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8229347Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8229421Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8229507Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8229580Z              26 RETURN_VALUE
2022-11-23T01:30:20.8229585Z 
2022-11-23T01:30:20.8229644Z  
2022-11-23T01:30:20.8229812Z [2022-11-23 01:29:55,326] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8229883Z  - 
2022-11-23T01:30:20.8230000Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8230063Z             {
2022-11-23T01:30:20.8230200Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8230385Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8230527Z                 'obj_weakref': None
2022-11-23T01:30:20.8230738Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8230802Z             }
2022-11-23T01:30:20.8230864Z             
2022-11-23T01:30:20.8230932Z  - 
2022-11-23T01:30:20.8231055Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8231115Z             {
2022-11-23T01:30:20.8231255Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8231349Z                 'code': None,
2022-11-23T01:30:20.8231560Z                 'obj_weakref': <weakref at 0x7ff57ef07c40; to 'Tensor' at 0x7ff57ee82ca0>
2022-11-23T01:30:20.8231837Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8231899Z             }
2022-11-23T01:30:20.8231960Z             
2022-11-23T01:30:20.8232029Z  - 
2022-11-23T01:30:20.8232149Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8232201Z             {
2022-11-23T01:30:20.8232341Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8232444Z                 'code': None,
2022-11-23T01:30:20.8232653Z                 'obj_weakref': <weakref at 0x7ff57ef078d0; to 'Tensor' at 0x7ff57efe5c60>
2022-11-23T01:30:20.8232908Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8232969Z             }
2022-11-23T01:30:20.8233031Z             
2022-11-23T01:30:20.8233086Z  - 
2022-11-23T01:30:20.8233214Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8233276Z             {
2022-11-23T01:30:20.8233411Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8233578Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8233697Z                 'obj_weakref': None
2022-11-23T01:30:20.8233991Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8234058Z             }
2022-11-23T01:30:20.8234108Z             
2022-11-23T01:30:20.8234177Z  - 
2022-11-23T01:30:20.8234300Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8234365Z             {
2022-11-23T01:30:20.8234499Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8234717Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8234822Z                 'obj_weakref': None
2022-11-23T01:30:20.8235041Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8235102Z             }
2022-11-23T01:30:20.8235166Z             
2022-11-23T01:30:20.8235427Z [2022-11-23 01:29:55,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 497
2022-11-23T01:30:20.8235789Z [2022-11-23 01:29:56,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cw/ccwm4tea2cyd24t22ysoyp5cjrjkwlvfu4ak4fb25hs4lthdc4p3.py
2022-11-23T01:30:20.8236052Z [2022-11-23 01:29:56,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 497
2022-11-23T01:30:20.8236058Z 
2022-11-23T01:30:20.8236151Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8236220Z import torch
2022-11-23T01:30:20.8236276Z import random
2022-11-23T01:30:20.8236389Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8236508Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8236513Z 
2022-11-23T01:30:20.8236589Z aten = torch.ops.aten
2022-11-23T01:30:20.8236721Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8236814Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8236819Z 
2022-11-23T01:30:20.8236823Z 
2022-11-23T01:30:20.8236954Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8237145Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8237297Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.8237401Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:30:20.8237499Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8237559Z {
2022-11-23T01:30:20.8237659Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8237719Z     {
2022-11-23T01:30:20.8237782Z         #pragma omp for 
2022-11-23T01:30:20.8237863Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8237924Z         {
2022-11-23T01:30:20.8238000Z             #pragma GCC ivdep
2022-11-23T01:30:20.8238087Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8238177Z             {
2022-11-23T01:30:20.8238242Z                 {
2022-11-23T01:30:20.8238295Z                     {
2022-11-23T01:30:20.8238389Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.8238490Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.8238600Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.8238693Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8238787Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8238851Z                     }
2022-11-23T01:30:20.8238902Z                 }
2022-11-23T01:30:20.8238964Z             }
2022-11-23T01:30:20.8239026Z         }
2022-11-23T01:30:20.8239087Z     }
2022-11-23T01:30:20.8239145Z }
2022-11-23T01:30:20.8239220Z ''')
2022-11-23T01:30:20.8239225Z 
2022-11-23T01:30:20.8239229Z 
2022-11-23T01:30:20.8239318Z async_compile.wait(globals())
2022-11-23T01:30:20.8239376Z del async_compile
2022-11-23T01:30:20.8239392Z 
2022-11-23T01:30:20.8239450Z def call(args):
2022-11-23T01:30:20.8239523Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8239593Z     args.clear()
2022-11-23T01:30:20.8239791Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8239951Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8240019Z     del arg0_1
2022-11-23T01:30:20.8240072Z     del arg1_1
2022-11-23T01:30:20.8240142Z     return (buf0, )
2022-11-23T01:30:20.8240147Z 
2022-11-23T01:30:20.8240152Z 
2022-11-23T01:30:20.8240226Z if __name__ == "__main__":
2022-11-23T01:30:20.8240338Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8240456Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8240646Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8240844Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8240958Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8240962Z 
2022-11-23T01:30:20.8241026Z ok (1.405s)
2022-11-23T01:30:20.8241340Z   test_cpu_int_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8241656Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8241873Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8242122Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8242395Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8242712Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8243059Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8243408Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8243788Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8243876Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8243954Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8244029Z               4 BINARY_ADD
2022-11-23T01:30:20.8244117Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8244191Z               8 RETURN_VALUE
2022-11-23T01:30:20.8244278Z  
2022-11-23T01:30:20.8244283Z 
2022-11-23T01:30:20.8244593Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8244801Z [2022-11-23 01:29:56,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8245038Z [2022-11-23 01:29:56,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8245300Z [2022-11-23 01:29:56,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8245539Z [2022-11-23 01:29:56,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8245781Z [2022-11-23 01:29:56,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8246163Z [2022-11-23 01:29:56,727] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8246407Z [2022-11-23 01:29:56,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8246641Z [2022-11-23 01:29:56,727] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8246896Z [2022-11-23 01:29:56,728] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8247142Z [2022-11-23 01:29:56,730] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8247328Z [2022-11-23 01:29:56,731] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8247448Z  __compiled_fn_506 <eval_with_key>.3855 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8247533Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8247619Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8247799Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8247892Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8247897Z 
2022-11-23T01:30:20.8248221Z [2022-11-23 01:29:56,731] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8248315Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8248405Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8248479Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8248568Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8248651Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8248736Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8248811Z              12 RETURN_VALUE
2022-11-23T01:30:20.8248816Z 
2022-11-23T01:30:20.8248875Z  
2022-11-23T01:30:20.8249193Z [2022-11-23 01:29:56,731] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8249300Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_506)
2022-11-23T01:30:20.8249377Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8249464Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8249565Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8249654Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8249738Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8249812Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8249897Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8249987Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8250083Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8250171Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8250245Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8250329Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8250428Z              26 RETURN_VALUE
2022-11-23T01:30:20.8250433Z 
2022-11-23T01:30:20.8250491Z  
2022-11-23T01:30:20.8250660Z [2022-11-23 01:29:56,732] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8250726Z  - 
2022-11-23T01:30:20.8250844Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8250908Z             {
2022-11-23T01:30:20.8251046Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8251231Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8251350Z                 'obj_weakref': None
2022-11-23T01:30:20.8251559Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8251623Z             }
2022-11-23T01:30:20.8251684Z             
2022-11-23T01:30:20.8251751Z  - 
2022-11-23T01:30:20.8251874Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8251934Z             {
2022-11-23T01:30:20.8252076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8252170Z                 'code': None,
2022-11-23T01:30:20.8252382Z                 'obj_weakref': <weakref at 0x7ff57ff500e0; to 'Tensor' at 0x7ff5a80d1c10>
2022-11-23T01:30:20.8252634Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8252699Z             }
2022-11-23T01:30:20.8252763Z             
2022-11-23T01:30:20.8252830Z  - 
2022-11-23T01:30:20.8252950Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8252999Z             {
2022-11-23T01:30:20.8253139Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8253243Z                 'code': None,
2022-11-23T01:30:20.8253453Z                 'obj_weakref': <weakref at 0x7ff5a8070b30; to 'Tensor' at 0x7ff5a8079f30>
2022-11-23T01:30:20.8253706Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8253771Z             }
2022-11-23T01:30:20.8253835Z             
2022-11-23T01:30:20.8253891Z  - 
2022-11-23T01:30:20.8254022Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8254085Z             {
2022-11-23T01:30:20.8254219Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8254394Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8254513Z                 'obj_weakref': None
2022-11-23T01:30:20.8254743Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8254794Z             }
2022-11-23T01:30:20.8254857Z             
2022-11-23T01:30:20.8254926Z  - 
2022-11-23T01:30:20.8255047Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8255111Z             {
2022-11-23T01:30:20.8255248Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8255463Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8255570Z                 'obj_weakref': None
2022-11-23T01:30:20.8255790Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8255854Z             }
2022-11-23T01:30:20.8255917Z             
2022-11-23T01:30:20.8256208Z [2022-11-23 01:29:56,736] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 498
2022-11-23T01:30:20.8256701Z [2022-11-23 01:29:58,127] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lf/clfanwu2ao5duzkltqos62t2hoacigmv7kqi2o52kaipigw6xdvn.py
2022-11-23T01:30:20.8256965Z [2022-11-23 01:29:58,127] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 498
2022-11-23T01:30:20.8256970Z 
2022-11-23T01:30:20.8257065Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8257121Z import torch
2022-11-23T01:30:20.8257191Z import random
2022-11-23T01:30:20.8257306Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8257470Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8257475Z 
2022-11-23T01:30:20.8257554Z aten = torch.ops.aten
2022-11-23T01:30:20.8257690Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8257784Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8257788Z 
2022-11-23T01:30:20.8257793Z 
2022-11-23T01:30:20.8257929Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8258122Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8258239Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.8258340Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:20.8258436Z                        int* __restrict__ out_ptr0)
2022-11-23T01:30:20.8258498Z {
2022-11-23T01:30:20.8258596Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8258658Z     {
2022-11-23T01:30:20.8258721Z         #pragma omp for 
2022-11-23T01:30:20.8258804Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8258869Z         {
2022-11-23T01:30:20.8258933Z             {
2022-11-23T01:30:20.8259001Z                 {
2022-11-23T01:30:20.8259094Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8259185Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.8259262Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8259349Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.8259415Z                 }
2022-11-23T01:30:20.8259480Z             }
2022-11-23T01:30:20.8259545Z         }
2022-11-23T01:30:20.8259609Z     }
2022-11-23T01:30:20.8259656Z }
2022-11-23T01:30:20.8259735Z ''')
2022-11-23T01:30:20.8259740Z 
2022-11-23T01:30:20.8259744Z 
2022-11-23T01:30:20.8259833Z async_compile.wait(globals())
2022-11-23T01:30:20.8259905Z del async_compile
2022-11-23T01:30:20.8259910Z 
2022-11-23T01:30:20.8259979Z def call(args):
2022-11-23T01:30:20.8260053Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8260123Z     args.clear()
2022-11-23T01:30:20.8260320Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8260468Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8260534Z     del arg0_1
2022-11-23T01:30:20.8260602Z     del arg1_1
2022-11-23T01:30:20.8260670Z     return (buf0, )
2022-11-23T01:30:20.8260677Z 
2022-11-23T01:30:20.8260681Z 
2022-11-23T01:30:20.8260756Z if __name__ == "__main__":
2022-11-23T01:30:20.8260868Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8260988Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8261177Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8261353Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8261465Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8261470Z 
2022-11-23T01:30:20.8261541Z ok (1.408s)
2022-11-23T01:30:20.8261877Z   test_cpu_int_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:58,133] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8262192Z [2022-11-23 01:29:58,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8262452Z [2022-11-23 01:29:58,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8262705Z [2022-11-23 01:29:58,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8262979Z [2022-11-23 01:29:58,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8263295Z [2022-11-23 01:29:58,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8263627Z [2022-11-23 01:29:58,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8263975Z [2022-11-23 01:29:58,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8264356Z [2022-11-23 01:29:58,134] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8264448Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8264539Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8264612Z               4 BINARY_ADD
2022-11-23T01:30:20.8264699Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8264774Z               8 RETURN_VALUE
2022-11-23T01:30:20.8264822Z  
2022-11-23T01:30:20.8264838Z 
2022-11-23T01:30:20.8265137Z [2022-11-23 01:29:58,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8265350Z [2022-11-23 01:29:58,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8265585Z [2022-11-23 01:29:58,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8265860Z [2022-11-23 01:29:58,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8266098Z [2022-11-23 01:29:58,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8266339Z [2022-11-23 01:29:58,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8266721Z [2022-11-23 01:29:58,135] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8266965Z [2022-11-23 01:29:58,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8267198Z [2022-11-23 01:29:58,135] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8267437Z [2022-11-23 01:29:58,136] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8267686Z [2022-11-23 01:29:58,139] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8267874Z [2022-11-23 01:29:58,140] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8268007Z  __compiled_fn_507 <eval_with_key>.3861 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8268095Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8268180Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8268356Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8268449Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8268457Z 
2022-11-23T01:30:20.8268768Z [2022-11-23 01:29:58,140] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8268859Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8268946Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8269059Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8269152Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8269236Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8269322Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8269397Z              12 RETURN_VALUE
2022-11-23T01:30:20.8269402Z 
2022-11-23T01:30:20.8269450Z  
2022-11-23T01:30:20.8269771Z [2022-11-23 01:29:58,140] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8269878Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_507)
2022-11-23T01:30:20.8269996Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8270085Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8270161Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8270247Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8270321Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8270396Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8270481Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8270583Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8270683Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8270769Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8270847Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8270920Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8270994Z              26 RETURN_VALUE
2022-11-23T01:30:20.8270999Z 
2022-11-23T01:30:20.8271057Z  
2022-11-23T01:30:20.8271240Z [2022-11-23 01:29:58,141] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8271307Z  - 
2022-11-23T01:30:20.8271424Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8271486Z             {
2022-11-23T01:30:20.8271612Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8271800Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8271918Z                 'obj_weakref': None
2022-11-23T01:30:20.8272142Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8272206Z             }
2022-11-23T01:30:20.8272268Z             
2022-11-23T01:30:20.8272335Z  - 
2022-11-23T01:30:20.8272458Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8272510Z             {
2022-11-23T01:30:20.8272649Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8272755Z                 'code': None,
2022-11-23T01:30:20.8272969Z                 'obj_weakref': <weakref at 0x7ff57ef06cf0; to 'Tensor' at 0x7ff59c02a160>
2022-11-23T01:30:20.8273223Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8273285Z             }
2022-11-23T01:30:20.8273346Z             
2022-11-23T01:30:20.8273402Z  - 
2022-11-23T01:30:20.8273524Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8273586Z             {
2022-11-23T01:30:20.8273726Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8273900Z                 'code': None,
2022-11-23T01:30:20.8274114Z                 'obj_weakref': <weakref at 0x7ff59c0ed670; to 'Tensor' at 0x7ff5a80d0cc0>
2022-11-23T01:30:20.8274365Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8274416Z             }
2022-11-23T01:30:20.8274477Z             
2022-11-23T01:30:20.8274548Z  - 
2022-11-23T01:30:20.8274679Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8274746Z             {
2022-11-23T01:30:20.8274878Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8275045Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8275151Z                 'obj_weakref': None
2022-11-23T01:30:20.8275411Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8275477Z             }
2022-11-23T01:30:20.8275539Z             
2022-11-23T01:30:20.8275611Z  - 
2022-11-23T01:30:20.8275731Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8275781Z             {
2022-11-23T01:30:20.8275913Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8276127Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8276243Z                 'obj_weakref': None
2022-11-23T01:30:20.8276458Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8276549Z             }
2022-11-23T01:30:20.8276609Z             
2022-11-23T01:30:20.8276868Z [2022-11-23 01:29:58,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 499
2022-11-23T01:30:20.8277230Z [2022-11-23 01:29:59,550] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fj/cfjpewkrtc46egwqwfcc5fqyspertmx2ebwmgkmtpa3tqvhpqjh6.py
2022-11-23T01:30:20.8277490Z [2022-11-23 01:29:59,550] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 499
2022-11-23T01:30:20.8277496Z 
2022-11-23T01:30:20.8277587Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8277656Z import torch
2022-11-23T01:30:20.8277725Z import random
2022-11-23T01:30:20.8277838Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8277958Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8277963Z 
2022-11-23T01:30:20.8278040Z aten = torch.ops.aten
2022-11-23T01:30:20.8278162Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8278252Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8278258Z 
2022-11-23T01:30:20.8278262Z 
2022-11-23T01:30:20.8278396Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8278599Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8278719Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.8278822Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8278920Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8278977Z {
2022-11-23T01:30:20.8279062Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8279122Z     {
2022-11-23T01:30:20.8279194Z         #pragma omp for 
2022-11-23T01:30:20.8279274Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8279336Z         {
2022-11-23T01:30:20.8279415Z             #pragma GCC ivdep
2022-11-23T01:30:20.8279498Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8279551Z             {
2022-11-23T01:30:20.8279614Z                 {
2022-11-23T01:30:20.8279679Z                     {
2022-11-23T01:30:20.8279773Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:30:20.8279875Z                         auto tmp2 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8279988Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.8280078Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8280161Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8280226Z                     }
2022-11-23T01:30:20.8280289Z                 }
2022-11-23T01:30:20.8280351Z             }
2022-11-23T01:30:20.8280415Z         }
2022-11-23T01:30:20.8280475Z     }
2022-11-23T01:30:20.8280521Z }
2022-11-23T01:30:20.8280596Z ''')
2022-11-23T01:30:20.8280601Z 
2022-11-23T01:30:20.8280605Z 
2022-11-23T01:30:20.8280691Z async_compile.wait(globals())
2022-11-23T01:30:20.8280768Z del async_compile
2022-11-23T01:30:20.8280773Z 
2022-11-23T01:30:20.8280841Z def call(args):
2022-11-23T01:30:20.8280916Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8280986Z     args.clear()
2022-11-23T01:30:20.8281183Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8281363Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8281433Z     del arg0_1
2022-11-23T01:30:20.8281499Z     del arg1_1
2022-11-23T01:30:20.8281570Z     return (buf0, )
2022-11-23T01:30:20.8281575Z 
2022-11-23T01:30:20.8281579Z 
2022-11-23T01:30:20.8281654Z if __name__ == "__main__":
2022-11-23T01:30:20.8281767Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8281886Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8282065Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8282263Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8282406Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8282412Z 
2022-11-23T01:30:20.8282476Z ok (1.423s)
2022-11-23T01:30:20.8282816Z   test_cpu_int_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8283129Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8283345Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8283595Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8283871Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8284178Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8284527Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8284848Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8285226Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8285316Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8285406Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8285478Z               4 BINARY_ADD
2022-11-23T01:30:20.8285564Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8285640Z               8 RETURN_VALUE
2022-11-23T01:30:20.8285689Z  
2022-11-23T01:30:20.8285694Z 
2022-11-23T01:30:20.8286005Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8286214Z [2022-11-23 01:29:59,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8286451Z [2022-11-23 01:29:59,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8286722Z [2022-11-23 01:29:59,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8286960Z [2022-11-23 01:29:59,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8287203Z [2022-11-23 01:29:59,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8287583Z [2022-11-23 01:29:59,558] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8287825Z [2022-11-23 01:29:59,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8288085Z [2022-11-23 01:29:59,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8288325Z [2022-11-23 01:29:59,559] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8288571Z [2022-11-23 01:29:59,562] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8288757Z [2022-11-23 01:29:59,562] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8288890Z  __compiled_fn_508 <eval_with_key>.3867 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8288979Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8289121Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8289297Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8289379Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8289398Z 
2022-11-23T01:30:20.8289707Z [2022-11-23 01:29:59,562] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8289799Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8289886Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8289972Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8290064Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8290148Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8290236Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8290300Z              12 RETURN_VALUE
2022-11-23T01:30:20.8290314Z 
2022-11-23T01:30:20.8290363Z  
2022-11-23T01:30:20.8290685Z [2022-11-23 01:29:59,562] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8290793Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_508)
2022-11-23T01:30:20.8290883Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8290975Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8291052Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8291140Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8291215Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8291288Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8291373Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8291477Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8291578Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8291665Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8291738Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8291815Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8291889Z              26 RETURN_VALUE
2022-11-23T01:30:20.8291893Z 
2022-11-23T01:30:20.8291952Z  
2022-11-23T01:30:20.8292133Z [2022-11-23 01:29:59,563] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8292200Z  - 
2022-11-23T01:30:20.8292318Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8292381Z             {
2022-11-23T01:30:20.8292509Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8292693Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8292811Z                 'obj_weakref': None
2022-11-23T01:30:20.8293034Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8293098Z             }
2022-11-23T01:30:20.8293160Z             
2022-11-23T01:30:20.8293228Z  - 
2022-11-23T01:30:20.8293340Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8293406Z             {
2022-11-23T01:30:20.8293547Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8293656Z                 'code': None,
2022-11-23T01:30:20.8293872Z                 'obj_weakref': <weakref at 0x7ff59c0edbc0; to 'Tensor' at 0x7ff58ffd1080>
2022-11-23T01:30:20.8294152Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8294218Z             }
2022-11-23T01:30:20.8294269Z             
2022-11-23T01:30:20.8294339Z  - 
2022-11-23T01:30:20.8294462Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8294524Z             {
2022-11-23T01:30:20.8294667Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8294775Z                 'code': None,
2022-11-23T01:30:20.8294986Z                 'obj_weakref': <weakref at 0x7ff58f9b4400; to 'Tensor' at 0x7ff58ff48b80>
2022-11-23T01:30:20.8295225Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8295318Z             }
2022-11-23T01:30:20.8295381Z             
2022-11-23T01:30:20.8295451Z  - 
2022-11-23T01:30:20.8295583Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8295646Z             {
2022-11-23T01:30:20.8295780Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8295938Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8296058Z                 'obj_weakref': None
2022-11-23T01:30:20.8296288Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8296351Z             }
2022-11-23T01:30:20.8296535Z             
2022-11-23T01:30:20.8296603Z  - 
2022-11-23T01:30:20.8296730Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8296780Z             {
2022-11-23T01:30:20.8296917Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8297134Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8297256Z                 'obj_weakref': None
2022-11-23T01:30:20.8297477Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8297541Z             }
2022-11-23T01:30:20.8297605Z             
2022-11-23T01:30:20.8297854Z [2022-11-23 01:29:59,568] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 500
2022-11-23T01:30:20.8298229Z [2022-11-23 01:30:00,952] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pz/cpz7bzkublrcwktvgfzsqab57dyr7uaaawlb7mgv4scpfelffcd3.py
2022-11-23T01:30:20.8298494Z [2022-11-23 01:30:00,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 500
2022-11-23T01:30:20.8298500Z 
2022-11-23T01:30:20.8298595Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8298664Z import torch
2022-11-23T01:30:20.8298738Z import random
2022-11-23T01:30:20.8298852Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8298976Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8298981Z 
2022-11-23T01:30:20.8299060Z aten = torch.ops.aten
2022-11-23T01:30:20.8299182Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8299272Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8299277Z 
2022-11-23T01:30:20.8299284Z 
2022-11-23T01:30:20.8299418Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8299624Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8299742Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:30:20.8299847Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8299944Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8300004Z {
2022-11-23T01:30:20.8300089Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8300151Z     {
2022-11-23T01:30:20.8300228Z         #pragma omp for 
2022-11-23T01:30:20.8300313Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8300376Z         {
2022-11-23T01:30:20.8300455Z             #pragma GCC ivdep
2022-11-23T01:30:20.8300528Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8300592Z             {
2022-11-23T01:30:20.8300655Z                 {
2022-11-23T01:30:20.8300765Z                     {
2022-11-23T01:30:20.8300860Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8300964Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.8301073Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:30:20.8301153Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8301248Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8301317Z                     }
2022-11-23T01:30:20.8301382Z                 }
2022-11-23T01:30:20.8301443Z             }
2022-11-23T01:30:20.8301505Z         }
2022-11-23T01:30:20.8301598Z     }
2022-11-23T01:30:20.8301645Z }
2022-11-23T01:30:20.8301722Z ''')
2022-11-23T01:30:20.8301727Z 
2022-11-23T01:30:20.8301731Z 
2022-11-23T01:30:20.8301820Z async_compile.wait(globals())
2022-11-23T01:30:20.8301894Z del async_compile
2022-11-23T01:30:20.8301899Z 
2022-11-23T01:30:20.8301966Z def call(args):
2022-11-23T01:30:20.8302043Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8302115Z     args.clear()
2022-11-23T01:30:20.8302303Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8302465Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8302532Z     del arg0_1
2022-11-23T01:30:20.8302600Z     del arg1_1
2022-11-23T01:30:20.8302669Z     return (buf0, )
2022-11-23T01:30:20.8302673Z 
2022-11-23T01:30:20.8302678Z 
2022-11-23T01:30:20.8302753Z if __name__ == "__main__":
2022-11-23T01:30:20.8302866Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8302988Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8303169Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8303367Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8303479Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8303484Z 
2022-11-23T01:30:20.8303551Z ok (1.402s)
2022-11-23T01:30:20.8303898Z   test_cpu_strided_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:00,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8304212Z [2022-11-23 01:30:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8304427Z [2022-11-23 01:30:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8304678Z [2022-11-23 01:30:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8304955Z [2022-11-23 01:30:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8305261Z [2022-11-23 01:30:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8305605Z [2022-11-23 01:30:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8305924Z [2022-11-23 01:30:00,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8306303Z [2022-11-23 01:30:00,959] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8306393Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8306484Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8306556Z               4 BINARY_ADD
2022-11-23T01:30:20.8306643Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8306716Z               8 RETURN_VALUE
2022-11-23T01:30:20.8306765Z  
2022-11-23T01:30:20.8306770Z 
2022-11-23T01:30:20.8307123Z [2022-11-23 01:30:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8307333Z [2022-11-23 01:30:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8307569Z [2022-11-23 01:30:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8307839Z [2022-11-23 01:30:00,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8308079Z [2022-11-23 01:30:00,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8308349Z [2022-11-23 01:30:00,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8308733Z [2022-11-23 01:30:00,960] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8308976Z [2022-11-23 01:30:00,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8309194Z [2022-11-23 01:30:00,960] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8309445Z [2022-11-23 01:30:00,961] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8309689Z [2022-11-23 01:30:00,964] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8309877Z [2022-11-23 01:30:00,964] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8310011Z  __compiled_fn_509 <eval_with_key>.3873 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8310099Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8310185Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8310361Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8310445Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8310462Z 
2022-11-23T01:30:20.8310774Z [2022-11-23 01:30:00,965] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8310867Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8310956Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8311041Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8311134Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8311217Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8311307Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8311369Z              12 RETURN_VALUE
2022-11-23T01:30:20.8311374Z 
2022-11-23T01:30:20.8311432Z  
2022-11-23T01:30:20.8311752Z [2022-11-23 01:30:00,965] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8311861Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_509)
2022-11-23T01:30:20.8311950Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8312036Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8312111Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8312196Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8312270Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8312345Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8312431Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8312534Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8312635Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8312722Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8312796Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8312869Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8312941Z              26 RETURN_VALUE
2022-11-23T01:30:20.8312973Z 
2022-11-23T01:30:20.8313033Z  
2022-11-23T01:30:20.8313214Z [2022-11-23 01:30:00,966] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8313283Z  - 
2022-11-23T01:30:20.8313399Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8313462Z             {
2022-11-23T01:30:20.8313589Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8313773Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8313971Z                 'obj_weakref': None
2022-11-23T01:30:20.8314195Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8314291Z             }
2022-11-23T01:30:20.8314354Z             
2022-11-23T01:30:20.8314423Z  - 
2022-11-23T01:30:20.8314532Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8314595Z             {
2022-11-23T01:30:20.8314735Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8314842Z                 'code': None,
2022-11-23T01:30:20.8315056Z                 'obj_weakref': <weakref at 0x7ff57edd5850; to 'Tensor' at 0x7ff57f9472e0>
2022-11-23T01:30:20.8315308Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8315371Z             }
2022-11-23T01:30:20.8315422Z             
2022-11-23T01:30:20.8315491Z  - 
2022-11-23T01:30:20.8315611Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8315674Z             {
2022-11-23T01:30:20.8315814Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8315918Z                 'code': None,
2022-11-23T01:30:20.8316129Z                 'obj_weakref': <weakref at 0x7ff57edd5990; to 'Tensor' at 0x7ff57f944130>
2022-11-23T01:30:20.8316368Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8316430Z             }
2022-11-23T01:30:20.8316491Z             
2022-11-23T01:30:20.8316558Z  - 
2022-11-23T01:30:20.8316688Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8316748Z             {
2022-11-23T01:30:20.8316880Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8317034Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8317150Z                 'obj_weakref': None
2022-11-23T01:30:20.8317377Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8317441Z             }
2022-11-23T01:30:20.8317502Z             
2022-11-23T01:30:20.8317569Z  - 
2022-11-23T01:30:20.8317688Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8317740Z             {
2022-11-23T01:30:20.8317873Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8318087Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8318202Z                 'obj_weakref': None
2022-11-23T01:30:20.8318420Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8318481Z             }
2022-11-23T01:30:20.8318541Z             
2022-11-23T01:30:20.8318789Z [2022-11-23 01:30:00,971] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 501
2022-11-23T01:30:20.8319159Z [2022-11-23 01:30:02,367] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jw/cjwiccmaw2vzzqsj52u36mtcetmcmbhbofp2lzlhhsnugsvvfsa2.py
2022-11-23T01:30:20.8319419Z [2022-11-23 01:30:02,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 501
2022-11-23T01:30:20.8319427Z 
2022-11-23T01:30:20.8319519Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8319587Z import torch
2022-11-23T01:30:20.8319655Z import random
2022-11-23T01:30:20.8319768Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8319887Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8319892Z 
2022-11-23T01:30:20.8319990Z aten = torch.ops.aten
2022-11-23T01:30:20.8320124Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8320214Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8320219Z 
2022-11-23T01:30:20.8320223Z 
2022-11-23T01:30:20.8320355Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8320559Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8320677Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8320778Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8320905Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8320953Z {
2022-11-23T01:30:20.8321047Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8321107Z     {
2022-11-23T01:30:20.8321183Z         #pragma omp for 
2022-11-23T01:30:20.8321263Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8321324Z         {
2022-11-23T01:30:20.8321404Z             #pragma GCC ivdep
2022-11-23T01:30:20.8321476Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8321538Z             {
2022-11-23T01:30:20.8321600Z                 {
2022-11-23T01:30:20.8321665Z                     {
2022-11-23T01:30:20.8321769Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8321862Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.8321953Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8322036Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8322101Z                     }
2022-11-23T01:30:20.8322166Z                 }
2022-11-23T01:30:20.8322228Z             }
2022-11-23T01:30:20.8322289Z         }
2022-11-23T01:30:20.8322349Z     }
2022-11-23T01:30:20.8322396Z }
2022-11-23T01:30:20.8322471Z ''')
2022-11-23T01:30:20.8322476Z 
2022-11-23T01:30:20.8322481Z 
2022-11-23T01:30:20.8322567Z async_compile.wait(globals())
2022-11-23T01:30:20.8322635Z del async_compile
2022-11-23T01:30:20.8322642Z 
2022-11-23T01:30:20.8322712Z def call(args):
2022-11-23T01:30:20.8322785Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8322854Z     args.clear()
2022-11-23T01:30:20.8323051Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8323202Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8323268Z     del arg0_1
2022-11-23T01:30:20.8323332Z     del arg1_1
2022-11-23T01:30:20.8323401Z     return (buf0, )
2022-11-23T01:30:20.8323406Z 
2022-11-23T01:30:20.8323410Z 
2022-11-23T01:30:20.8323484Z if __name__ == "__main__":
2022-11-23T01:30:20.8323598Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8323718Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8323916Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8324100Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8324213Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8324218Z 
2022-11-23T01:30:20.8324283Z ok (1.415s)
2022-11-23T01:30:20.8324624Z   test_cpu_strided_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:02,373] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8324940Z [2022-11-23 01:30:02,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8325157Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8325411Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8325687Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8326035Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8326365Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8326686Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8327065Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8327183Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8327271Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8327343Z               4 BINARY_ADD
2022-11-23T01:30:20.8327433Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8327509Z               8 RETURN_VALUE
2022-11-23T01:30:20.8327558Z  
2022-11-23T01:30:20.8327574Z 
2022-11-23T01:30:20.8327875Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8328079Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8328315Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8328584Z [2022-11-23 01:30:02,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8328825Z [2022-11-23 01:30:02,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8329067Z [2022-11-23 01:30:02,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8329451Z [2022-11-23 01:30:02,375] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8329693Z [2022-11-23 01:30:02,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8329923Z [2022-11-23 01:30:02,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8330160Z [2022-11-23 01:30:02,377] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8330407Z [2022-11-23 01:30:02,380] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8330596Z [2022-11-23 01:30:02,380] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8330728Z  __compiled_fn_510 <eval_with_key>.3879 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8330813Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8330901Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8331074Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8331168Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8331174Z 
2022-11-23T01:30:20.8331481Z [2022-11-23 01:30:02,380] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8331572Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8331659Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8331745Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8331837Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8331920Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8332008Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8332080Z              12 RETURN_VALUE
2022-11-23T01:30:20.8332085Z 
2022-11-23T01:30:20.8332133Z  
2022-11-23T01:30:20.8332476Z [2022-11-23 01:30:02,380] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8332584Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_510)
2022-11-23T01:30:20.8332676Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8332764Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8332842Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8332931Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8333007Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8333082Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8333197Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8333302Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8333405Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8333493Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8333569Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8333645Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8333721Z              26 RETURN_VALUE
2022-11-23T01:30:20.8333726Z 
2022-11-23T01:30:20.8333787Z  
2022-11-23T01:30:20.8333973Z [2022-11-23 01:30:02,381] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8334044Z  - 
2022-11-23T01:30:20.8334162Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8334227Z             {
2022-11-23T01:30:20.8334367Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8334540Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8334663Z                 'obj_weakref': None
2022-11-23T01:30:20.8334888Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8334954Z             }
2022-11-23T01:30:20.8335020Z             
2022-11-23T01:30:20.8335090Z  - 
2022-11-23T01:30:20.8335214Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8335267Z             {
2022-11-23T01:30:20.8335410Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8335516Z                 'code': None,
2022-11-23T01:30:20.8335727Z                 'obj_weakref': <weakref at 0x7ff59c0ef920; to 'Tensor' at 0x7ff57efec8b0>
2022-11-23T01:30:20.8335980Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8336044Z             }
2022-11-23T01:30:20.8336108Z             
2022-11-23T01:30:20.8336165Z  - 
2022-11-23T01:30:20.8336288Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8336351Z             {
2022-11-23T01:30:20.8336607Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8336716Z                 'code': None,
2022-11-23T01:30:20.8336929Z                 'obj_weakref': <weakref at 0x7ff59c0ee480; to 'Tensor' at 0x7ff57efedda0>
2022-11-23T01:30:20.8337186Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8337238Z             }
2022-11-23T01:30:20.8337300Z             
2022-11-23T01:30:20.8337369Z  - 
2022-11-23T01:30:20.8337500Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8337562Z             {
2022-11-23T01:30:20.8337696Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8337865Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8337971Z                 'obj_weakref': None
2022-11-23T01:30:20.8338201Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8338267Z             }
2022-11-23T01:30:20.8338332Z             
2022-11-23T01:30:20.8338400Z  - 
2022-11-23T01:30:20.8338522Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8338585Z             {
2022-11-23T01:30:20.8338709Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8338970Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8339088Z                 'obj_weakref': None
2022-11-23T01:30:20.8339310Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8339373Z             }
2022-11-23T01:30:20.8339435Z             
2022-11-23T01:30:20.8339695Z [2022-11-23 01:30:02,386] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 502
2022-11-23T01:30:20.8340048Z [2022-11-23 01:30:03,771] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebf66xogrz7jkp5wi5yvpbsuvv6u6sv7m2v7rs4xj63yexr43i2.py
2022-11-23T01:30:20.8340348Z [2022-11-23 01:30:03,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 502
2022-11-23T01:30:20.8340355Z 
2022-11-23T01:30:20.8340451Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8340520Z import torch
2022-11-23T01:30:20.8340589Z import random
2022-11-23T01:30:20.8340707Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8340826Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8340831Z 
2022-11-23T01:30:20.8340907Z aten = torch.ops.aten
2022-11-23T01:30:20.8341028Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8341118Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8341123Z 
2022-11-23T01:30:20.8341127Z 
2022-11-23T01:30:20.8341258Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8341462Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8341579Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8341685Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8341781Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8341840Z {
2022-11-23T01:30:20.8341923Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8341983Z     {
2022-11-23T01:30:20.8342058Z         #pragma omp for 
2022-11-23T01:30:20.8342140Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8342201Z         {
2022-11-23T01:30:20.8342280Z             #pragma GCC ivdep
2022-11-23T01:30:20.8342364Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8342414Z             {
2022-11-23T01:30:20.8342476Z                 {
2022-11-23T01:30:20.8342542Z                     {
2022-11-23T01:30:20.8342644Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8342737Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.8342830Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8342928Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8342982Z                     }
2022-11-23T01:30:20.8343045Z                 }
2022-11-23T01:30:20.8343108Z             }
2022-11-23T01:30:20.8343168Z         }
2022-11-23T01:30:20.8343225Z     }
2022-11-23T01:30:20.8343285Z }
2022-11-23T01:30:20.8343350Z ''')
2022-11-23T01:30:20.8343355Z 
2022-11-23T01:30:20.8343371Z 
2022-11-23T01:30:20.8343449Z async_compile.wait(globals())
2022-11-23T01:30:20.8343518Z del async_compile
2022-11-23T01:30:20.8343523Z 
2022-11-23T01:30:20.8343591Z def call(args):
2022-11-23T01:30:20.8343665Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8343733Z     args.clear()
2022-11-23T01:30:20.8343944Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8344103Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8344159Z     del arg0_1
2022-11-23T01:30:20.8348616Z     del arg1_1
2022-11-23T01:30:20.8348708Z     return (buf0, )
2022-11-23T01:30:20.8348714Z 
2022-11-23T01:30:20.8348719Z 
2022-11-23T01:30:20.8348797Z if __name__ == "__main__":
2022-11-23T01:30:20.8348915Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8349039Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8349318Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8349514Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8349631Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8349637Z 
2022-11-23T01:30:20.8349702Z ok (1.403s)
2022-11-23T01:30:20.8350056Z   test_cpu_strided_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:03,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8350378Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8350628Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8350881Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8351158Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8351475Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8351822Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8352130Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8352513Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8352604Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8352697Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8352769Z               4 BINARY_ADD
2022-11-23T01:30:20.8352857Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8352932Z               8 RETURN_VALUE
2022-11-23T01:30:20.8352992Z  
2022-11-23T01:30:20.8352997Z 
2022-11-23T01:30:20.8353295Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8353504Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8353737Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8354133Z [2022-11-23 01:30:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8354378Z [2022-11-23 01:30:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8354621Z [2022-11-23 01:30:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8355004Z [2022-11-23 01:30:03,778] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8355249Z [2022-11-23 01:30:03,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8355479Z [2022-11-23 01:30:03,779] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8355734Z [2022-11-23 01:30:03,780] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8355972Z [2022-11-23 01:30:03,782] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8356160Z [2022-11-23 01:30:03,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8356342Z  __compiled_fn_511 <eval_with_key>.3885 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8356433Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8356519Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8356696Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8356791Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8356796Z 
2022-11-23T01:30:20.8357119Z [2022-11-23 01:30:03,783] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8357201Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8357332Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8357418Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8357508Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8357592Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8357679Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8357755Z              12 RETURN_VALUE
2022-11-23T01:30:20.8357761Z 
2022-11-23T01:30:20.8357809Z  
2022-11-23T01:30:20.8358134Z [2022-11-23 01:30:03,783] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8358242Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_511)
2022-11-23T01:30:20.8358330Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8358418Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8358493Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8358579Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8358667Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8358731Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8358817Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8358921Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8359022Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8359110Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8359184Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8359269Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8359331Z              26 RETURN_VALUE
2022-11-23T01:30:20.8359336Z 
2022-11-23T01:30:20.8359397Z  
2022-11-23T01:30:20.8359578Z [2022-11-23 01:30:03,784] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8359648Z  - 
2022-11-23T01:30:20.8359765Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8359828Z             {
2022-11-23T01:30:20.8359964Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8360141Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8360258Z                 'obj_weakref': None
2022-11-23T01:30:20.8360480Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8360543Z             }
2022-11-23T01:30:20.8360608Z             
2022-11-23T01:30:20.8360676Z  - 
2022-11-23T01:30:20.8360800Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8360850Z             {
2022-11-23T01:30:20.8360990Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8361092Z                 'code': None,
2022-11-23T01:30:20.8361306Z                 'obj_weakref': <weakref at 0x7ff57edd7dd0; to 'Tensor' at 0x7ff58ff142c0>
2022-11-23T01:30:20.8361559Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8361621Z             }
2022-11-23T01:30:20.8361686Z             
2022-11-23T01:30:20.8361741Z  - 
2022-11-23T01:30:20.8361861Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8361922Z             {
2022-11-23T01:30:20.8362063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8362167Z                 'code': None,
2022-11-23T01:30:20.8362406Z                 'obj_weakref': <weakref at 0x7ff57edd6cf0; to 'Tensor' at 0x7ff58ff17e20>
2022-11-23T01:30:20.8362661Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8362711Z             }
2022-11-23T01:30:20.8362773Z             
2022-11-23T01:30:20.8362844Z  - 
2022-11-23T01:30:20.8362973Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8363034Z             {
2022-11-23T01:30:20.8363166Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8363333Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8363438Z                 'obj_weakref': None
2022-11-23T01:30:20.8363692Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8363755Z             }
2022-11-23T01:30:20.8363816Z             
2022-11-23T01:30:20.8363884Z  - 
2022-11-23T01:30:20.8364003Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8364065Z             {
2022-11-23T01:30:20.8364188Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8364403Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8364519Z                 'obj_weakref': None
2022-11-23T01:30:20.8364737Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8364799Z             }
2022-11-23T01:30:20.8364860Z             
2022-11-23T01:30:20.8365119Z [2022-11-23 01:30:03,789] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 503
2022-11-23T01:30:20.8365484Z [2022-11-23 01:30:05,174] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4k/c4k3iifdl27u2uvh56jpszqgbwouun6brgonvog2wrph3bsxkakf.py
2022-11-23T01:30:20.8365737Z [2022-11-23 01:30:05,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 503
2022-11-23T01:30:20.8365742Z 
2022-11-23T01:30:20.8365834Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8365903Z import torch
2022-11-23T01:30:20.8365972Z import random
2022-11-23T01:30:20.8366084Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8366201Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8366207Z 
2022-11-23T01:30:20.8366283Z aten = torch.ops.aten
2022-11-23T01:30:20.8366402Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8366495Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8366499Z 
2022-11-23T01:30:20.8366504Z 
2022-11-23T01:30:20.8366636Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8366838Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8366960Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8367062Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8367160Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8367220Z {
2022-11-23T01:30:20.8367307Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8367368Z     {
2022-11-23T01:30:20.8367443Z         #pragma omp for 
2022-11-23T01:30:20.8367522Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8367582Z         {
2022-11-23T01:30:20.8367661Z             #pragma GCC ivdep
2022-11-23T01:30:20.8367744Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8367794Z             {
2022-11-23T01:30:20.8367857Z                 {
2022-11-23T01:30:20.8367923Z                     {
2022-11-23T01:30:20.8368026Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8368121Z                         auto tmp1 = in_ptr1[0];
2022-11-23T01:30:20.8368213Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8368305Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8368358Z                     }
2022-11-23T01:30:20.8368422Z                 }
2022-11-23T01:30:20.8368485Z             }
2022-11-23T01:30:20.8368571Z         }
2022-11-23T01:30:20.8368633Z     }
2022-11-23T01:30:20.8368691Z }
2022-11-23T01:30:20.8368757Z ''')
2022-11-23T01:30:20.8368773Z 
2022-11-23T01:30:20.8368777Z 
2022-11-23T01:30:20.8368854Z async_compile.wait(globals())
2022-11-23T01:30:20.8368925Z del async_compile
2022-11-23T01:30:20.8368929Z 
2022-11-23T01:30:20.8368998Z def call(args):
2022-11-23T01:30:20.8369073Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8369144Z     args.clear()
2022-11-23T01:30:20.8369341Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8369503Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8369590Z     del arg0_1
2022-11-23T01:30:20.8369657Z     del arg1_1
2022-11-23T01:30:20.8369726Z     return (buf0, )
2022-11-23T01:30:20.8369731Z 
2022-11-23T01:30:20.8369735Z 
2022-11-23T01:30:20.8369810Z if __name__ == "__main__":
2022-11-23T01:30:20.8369924Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8370046Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8370245Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8370434Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8370535Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8370540Z 
2022-11-23T01:30:20.8370605Z ok (1.404s)
2022-11-23T01:30:20.8370944Z   test_cpu_strided_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8371260Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8371476Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8371731Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8372007Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8372325Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8372667Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8372988Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8373359Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8373449Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8373537Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8373610Z               4 BINARY_ADD
2022-11-23T01:30:20.8373698Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8373772Z               8 RETURN_VALUE
2022-11-23T01:30:20.8373831Z  
2022-11-23T01:30:20.8373836Z 
2022-11-23T01:30:20.8374148Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8374342Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8374580Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8374850Z [2022-11-23 01:30:05,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8375112Z [2022-11-23 01:30:05,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8375360Z [2022-11-23 01:30:05,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8375739Z [2022-11-23 01:30:05,182] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8375982Z [2022-11-23 01:30:05,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8376212Z [2022-11-23 01:30:05,183] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8376615Z [2022-11-23 01:30:05,183] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8376852Z [2022-11-23 01:30:05,186] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8377041Z [2022-11-23 01:30:05,187] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8377175Z  __compiled_fn_512 <eval_with_key>.3891 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8377263Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8377347Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8377524Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8377618Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8377623Z 
2022-11-23T01:30:20.8377947Z [2022-11-23 01:30:05,187] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8378041Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8378119Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8378202Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8378295Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8378381Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8378469Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8378543Z              12 RETURN_VALUE
2022-11-23T01:30:20.8378548Z 
2022-11-23T01:30:20.8378608Z  
2022-11-23T01:30:20.8378917Z [2022-11-23 01:30:05,187] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8379023Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_512)
2022-11-23T01:30:20.8379109Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8379201Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8379279Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8379366Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8379452Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8379515Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8379600Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8379704Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8379805Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8379893Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8379969Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8380053Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8380126Z              26 RETURN_VALUE
2022-11-23T01:30:20.8380131Z 
2022-11-23T01:30:20.8380178Z  
2022-11-23T01:30:20.8380358Z [2022-11-23 01:30:05,188] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8380425Z  - 
2022-11-23T01:30:20.8380547Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8380611Z             {
2022-11-23T01:30:20.8380749Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8380933Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8381038Z                 'obj_weakref': None
2022-11-23T01:30:20.8381318Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8381385Z             }
2022-11-23T01:30:20.8381448Z             
2022-11-23T01:30:20.8381517Z  - 
2022-11-23T01:30:20.8381641Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8381704Z             {
2022-11-23T01:30:20.8381832Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8381935Z                 'code': None,
2022-11-23T01:30:20.8382146Z                 'obj_weakref': <weakref at 0x7ff57efec900; to 'Tensor' at 0x7ff5a8659da0>
2022-11-23T01:30:20.8382399Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8382497Z             }
2022-11-23T01:30:20.8382558Z             
2022-11-23T01:30:20.8382627Z  - 
2022-11-23T01:30:20.8382737Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8382797Z             {
2022-11-23T01:30:20.8382939Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8383045Z                 'code': None,
2022-11-23T01:30:20.8383256Z                 'obj_weakref': <weakref at 0x7ff5a81e2480; to 'Tensor' at 0x7ff57ff52750>
2022-11-23T01:30:20.8383506Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8383569Z             }
2022-11-23T01:30:20.8383619Z             
2022-11-23T01:30:20.8383685Z  - 
2022-11-23T01:30:20.8383813Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8383873Z             {
2022-11-23T01:30:20.8384005Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8384174Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8384292Z                 'obj_weakref': None
2022-11-23T01:30:20.8384509Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8384573Z             }
2022-11-23T01:30:20.8384634Z             
2022-11-23T01:30:20.8384700Z  - 
2022-11-23T01:30:20.8384820Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8384880Z             {
2022-11-23T01:30:20.8385014Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8385216Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8385332Z                 'obj_weakref': None
2022-11-23T01:30:20.8385551Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8385613Z             }
2022-11-23T01:30:20.8385674Z             
2022-11-23T01:30:20.8385933Z [2022-11-23 01:30:05,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 504
2022-11-23T01:30:20.8386303Z [2022-11-23 01:30:06,594] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ql/cqlybksfph3rk6yogihakomgg6xcdqcdoy3xl75e7jq4s4jtsfks.py
2022-11-23T01:30:20.8386568Z [2022-11-23 01:30:06,594] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 504
2022-11-23T01:30:20.8386573Z 
2022-11-23T01:30:20.8386653Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8386720Z import torch
2022-11-23T01:30:20.8386787Z import random
2022-11-23T01:30:20.8386900Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8387018Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8387023Z 
2022-11-23T01:30:20.8387100Z aten = torch.ops.aten
2022-11-23T01:30:20.8387232Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8387310Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8387317Z 
2022-11-23T01:30:20.8387333Z 
2022-11-23T01:30:20.8387451Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8387654Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8387772Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8387902Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8388002Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8388062Z {
2022-11-23T01:30:20.8388157Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8388207Z     {
2022-11-23T01:30:20.8388282Z         #pragma omp for 
2022-11-23T01:30:20.8388362Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8388423Z         {
2022-11-23T01:30:20.8388500Z             #pragma GCC ivdep
2022-11-23T01:30:20.8388584Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8388645Z             {
2022-11-23T01:30:20.8388697Z                 {
2022-11-23T01:30:20.8388762Z                     {
2022-11-23T01:30:20.8388892Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8388994Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.8389087Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8389181Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8389246Z                     }
2022-11-23T01:30:20.8389298Z                 }
2022-11-23T01:30:20.8389358Z             }
2022-11-23T01:30:20.8389419Z         }
2022-11-23T01:30:20.8389479Z     }
2022-11-23T01:30:20.8389536Z }
2022-11-23T01:30:20.8389611Z ''')
2022-11-23T01:30:20.8389616Z 
2022-11-23T01:30:20.8389621Z 
2022-11-23T01:30:20.8389708Z async_compile.wait(globals())
2022-11-23T01:30:20.8389765Z del async_compile
2022-11-23T01:30:20.8389770Z 
2022-11-23T01:30:20.8389837Z def call(args):
2022-11-23T01:30:20.8389910Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8389979Z     args.clear()
2022-11-23T01:30:20.8390177Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8390342Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8390409Z     del arg0_1
2022-11-23T01:30:20.8390463Z     del arg1_1
2022-11-23T01:30:20.8390532Z     return (buf0, )
2022-11-23T01:30:20.8390536Z 
2022-11-23T01:30:20.8390542Z 
2022-11-23T01:30:20.8390617Z if __name__ == "__main__":
2022-11-23T01:30:20.8390727Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8390848Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8391045Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8391244Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8391357Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8391362Z 
2022-11-23T01:30:20.8391415Z ok (1.419s)
2022-11-23T01:30:20.8391754Z   test_cpu_strided_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8392070Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8392287Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8392542Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8392817Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8393133Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8393476Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8393874Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8394325Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8394405Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8394496Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8394570Z               4 BINARY_ADD
2022-11-23T01:30:20.8394658Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8394733Z               8 RETURN_VALUE
2022-11-23T01:30:20.8394793Z  
2022-11-23T01:30:20.8394799Z 
2022-11-23T01:30:20.8395111Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8395350Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8395575Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8395847Z [2022-11-23 01:30:06,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8396086Z [2022-11-23 01:30:06,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8396332Z [2022-11-23 01:30:06,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8396714Z [2022-11-23 01:30:06,601] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8396956Z [2022-11-23 01:30:06,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8397187Z [2022-11-23 01:30:06,602] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8397436Z [2022-11-23 01:30:06,603] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8397688Z [2022-11-23 01:30:06,606] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8397862Z [2022-11-23 01:30:06,606] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8397995Z  __compiled_fn_513 <eval_with_key>.3897 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8398082Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8398166Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8398343Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8398437Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8398443Z 
2022-11-23T01:30:20.8398767Z [2022-11-23 01:30:06,606] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8398861Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8398939Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8399027Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8399118Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8399203Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8399291Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8399365Z              12 RETURN_VALUE
2022-11-23T01:30:20.8399370Z 
2022-11-23T01:30:20.8399430Z  
2022-11-23T01:30:20.8399750Z [2022-11-23 01:30:06,606] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8399847Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_513)
2022-11-23T01:30:20.8399937Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8400026Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8400103Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8400190Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8400276Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8400388Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8400463Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8400566Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8400666Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8400752Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8400826Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8400911Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8400983Z              26 RETURN_VALUE
2022-11-23T01:30:20.8400989Z 
2022-11-23T01:30:20.8401035Z  
2022-11-23T01:30:20.8401247Z [2022-11-23 01:30:06,607] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8401316Z  - 
2022-11-23T01:30:20.8401433Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8401496Z             {
2022-11-23T01:30:20.8401633Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8401818Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8401925Z                 'obj_weakref': None
2022-11-23T01:30:20.8402146Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8402210Z             }
2022-11-23T01:30:20.8402271Z             
2022-11-23T01:30:20.8402338Z  - 
2022-11-23T01:30:20.8402462Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8402523Z             {
2022-11-23T01:30:20.8402651Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8402756Z                 'code': None,
2022-11-23T01:30:20.8402965Z                 'obj_weakref': <weakref at 0x7ff57ee809f0; to 'Tensor' at 0x7ff57ee81a80>
2022-11-23T01:30:20.8403217Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8403280Z             }
2022-11-23T01:30:20.8403342Z             
2022-11-23T01:30:20.8403410Z  - 
2022-11-23T01:30:20.8403520Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8403582Z             {
2022-11-23T01:30:20.8403721Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8403826Z                 'code': None,
2022-11-23T01:30:20.8404036Z                 'obj_weakref': <weakref at 0x7ff57ef79c10; to 'Tensor' at 0x7ff57ee83600>
2022-11-23T01:30:20.8404286Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8404348Z             }
2022-11-23T01:30:20.8404409Z             
2022-11-23T01:30:20.8404464Z  - 
2022-11-23T01:30:20.8404594Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8404658Z             {
2022-11-23T01:30:20.8404793Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8404961Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8405078Z                 'obj_weakref': None
2022-11-23T01:30:20.8405308Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8405361Z             }
2022-11-23T01:30:20.8405421Z             
2022-11-23T01:30:20.8405492Z  - 
2022-11-23T01:30:20.8405609Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8405671Z             {
2022-11-23T01:30:20.8405804Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8406008Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8406126Z                 'obj_weakref': None
2022-11-23T01:30:20.8406344Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8406408Z             }
2022-11-23T01:30:20.8406470Z             
2022-11-23T01:30:20.8406728Z [2022-11-23 01:30:06,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 505
2022-11-23T01:30:20.8407124Z [2022-11-23 01:30:08,013] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/cske5sec2iwgtc2czlyjenjo5zu47juvowrrpirqnj5ozbo2taue.py
2022-11-23T01:30:20.8407387Z [2022-11-23 01:30:08,014] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 505
2022-11-23T01:30:20.8407393Z 
2022-11-23T01:30:20.8407484Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8407541Z import torch
2022-11-23T01:30:20.8407612Z import random
2022-11-23T01:30:20.8407726Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8407846Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8407851Z 
2022-11-23T01:30:20.8407928Z aten = torch.ops.aten
2022-11-23T01:30:20.8408062Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8408182Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8408187Z 
2022-11-23T01:30:20.8408191Z 
2022-11-23T01:30:20.8408311Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8408513Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8408632Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8408738Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:30:20.8408836Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8408896Z {
2022-11-23T01:30:20.8408991Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8409051Z     {
2022-11-23T01:30:20.8409116Z         #pragma omp for 
2022-11-23T01:30:20.8409197Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8409258Z         {
2022-11-23T01:30:20.8409337Z             #pragma GCC ivdep
2022-11-23T01:30:20.8409420Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8409485Z             {
2022-11-23T01:30:20.8409536Z                 {
2022-11-23T01:30:20.8409601Z                     {
2022-11-23T01:30:20.8409704Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8409805Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.8409914Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.8410008Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8410103Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8410156Z                     }
2022-11-23T01:30:20.8410218Z                 }
2022-11-23T01:30:20.8410280Z             }
2022-11-23T01:30:20.8410340Z         }
2022-11-23T01:30:20.8410400Z     }
2022-11-23T01:30:20.8410460Z }
2022-11-23T01:30:20.8410539Z ''')
2022-11-23T01:30:20.8410544Z 
2022-11-23T01:30:20.8410549Z 
2022-11-23T01:30:20.8410625Z async_compile.wait(globals())
2022-11-23T01:30:20.8410698Z del async_compile
2022-11-23T01:30:20.8410703Z 
2022-11-23T01:30:20.8410771Z def call(args):
2022-11-23T01:30:20.8410845Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8410915Z     args.clear()
2022-11-23T01:30:20.8411110Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8411273Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8411341Z     del arg0_1
2022-11-23T01:30:20.8411394Z     del arg1_1
2022-11-23T01:30:20.8411464Z     return (buf0, )
2022-11-23T01:30:20.8411469Z 
2022-11-23T01:30:20.8411473Z 
2022-11-23T01:30:20.8411548Z if __name__ == "__main__":
2022-11-23T01:30:20.8411660Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8411781Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8411980Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8412176Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8412280Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8412296Z 
2022-11-23T01:30:20.8412350Z ok (1.420s)
2022-11-23T01:30:20.8412717Z   test_cpu_strided_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:08,019] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8413034Z [2022-11-23 01:30:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8413251Z [2022-11-23 01:30:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8413503Z [2022-11-23 01:30:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8413778Z [2022-11-23 01:30:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8414096Z [2022-11-23 01:30:08,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8414467Z [2022-11-23 01:30:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8414787Z [2022-11-23 01:30:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8415169Z [2022-11-23 01:30:08,020] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8415249Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8415339Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8415411Z               4 BINARY_ADD
2022-11-23T01:30:20.8415498Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8415575Z               8 RETURN_VALUE
2022-11-23T01:30:20.8415635Z  
2022-11-23T01:30:20.8415641Z 
2022-11-23T01:30:20.8415949Z [2022-11-23 01:30:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8416160Z [2022-11-23 01:30:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8416383Z [2022-11-23 01:30:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8416792Z [2022-11-23 01:30:08,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8417034Z [2022-11-23 01:30:08,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8417278Z [2022-11-23 01:30:08,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8417661Z [2022-11-23 01:30:08,021] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8417906Z [2022-11-23 01:30:08,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8418140Z [2022-11-23 01:30:08,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8418392Z [2022-11-23 01:30:08,022] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8418640Z [2022-11-23 01:30:08,025] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8418817Z [2022-11-23 01:30:08,026] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8418949Z  __compiled_fn_514 <eval_with_key>.3903 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8419039Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8419127Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8419305Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8419398Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8419403Z 
2022-11-23T01:30:20.8419785Z [2022-11-23 01:30:08,026] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8419880Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8419958Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8420042Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8420133Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8420216Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8420303Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8420378Z              12 RETURN_VALUE
2022-11-23T01:30:20.8420383Z 
2022-11-23T01:30:20.8420444Z  
2022-11-23T01:30:20.8420798Z [2022-11-23 01:30:08,026] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8420894Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_514)
2022-11-23T01:30:20.8420983Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8421073Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8421149Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8421236Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8421321Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8421394Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8421469Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8421570Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8421670Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8421756Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8421833Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8421918Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8421995Z              26 RETURN_VALUE
2022-11-23T01:30:20.8422000Z 
2022-11-23T01:30:20.8422047Z  
2022-11-23T01:30:20.8422227Z [2022-11-23 01:30:08,027] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8422295Z  - 
2022-11-23T01:30:20.8422416Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8422479Z             {
2022-11-23T01:30:20.8422617Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8422802Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8422908Z                 'obj_weakref': None
2022-11-23T01:30:20.8423128Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8423191Z             }
2022-11-23T01:30:20.8423253Z             
2022-11-23T01:30:20.8423321Z  - 
2022-11-23T01:30:20.8423443Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8423506Z             {
2022-11-23T01:30:20.8423636Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8423740Z                 'code': None,
2022-11-23T01:30:20.8423949Z                 'obj_weakref': <weakref at 0x7ff57efe79c0; to 'Tensor' at 0x7ff57f8e0130>
2022-11-23T01:30:20.8424202Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8424267Z             }
2022-11-23T01:30:20.8424330Z             
2022-11-23T01:30:20.8424397Z  - 
2022-11-23T01:30:20.8424506Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8424567Z             {
2022-11-23T01:30:20.8424708Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8424812Z                 'code': None,
2022-11-23T01:30:20.8425022Z                 'obj_weakref': <weakref at 0x7ff57efe6110; to 'Tensor' at 0x7ff57f8e1d50>
2022-11-23T01:30:20.8425273Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8425339Z             }
2022-11-23T01:30:20.8425388Z             
2022-11-23T01:30:20.8425455Z  - 
2022-11-23T01:30:20.8425583Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8425644Z             {
2022-11-23T01:30:20.8425776Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8425969Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8426088Z                 'obj_weakref': None
2022-11-23T01:30:20.8426304Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8426365Z             }
2022-11-23T01:30:20.8426427Z             
2022-11-23T01:30:20.8426493Z  - 
2022-11-23T01:30:20.8426612Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8426672Z             {
2022-11-23T01:30:20.8426806Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8427009Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8427152Z                 'obj_weakref': None
2022-11-23T01:30:20.8427371Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8427432Z             }
2022-11-23T01:30:20.8427493Z             
2022-11-23T01:30:20.8427753Z [2022-11-23 01:30:08,032] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 506
2022-11-23T01:30:20.8428121Z [2022-11-23 01:30:09,437] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ul/culzenc2thdb2o4lo6uiiecgpgvw34ftj7bbcyjzk7i24melc5x5.py
2022-11-23T01:30:20.8428382Z [2022-11-23 01:30:09,437] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 506
2022-11-23T01:30:20.8428387Z 
2022-11-23T01:30:20.8428466Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8428533Z import torch
2022-11-23T01:30:20.8428600Z import random
2022-11-23T01:30:20.8428712Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8428833Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8428838Z 
2022-11-23T01:30:20.8428915Z aten = torch.ops.aten
2022-11-23T01:30:20.8429048Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8429139Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8429147Z 
2022-11-23T01:30:20.8429151Z 
2022-11-23T01:30:20.8429270Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8429473Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8429591Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8429692Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:20.8429790Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8429850Z {
2022-11-23T01:30:20.8429945Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8429994Z     {
2022-11-23T01:30:20.8430071Z         #pragma omp for 
2022-11-23T01:30:20.8430152Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8430213Z         {
2022-11-23T01:30:20.8430291Z             #pragma GCC ivdep
2022-11-23T01:30:20.8430377Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8430442Z             {
2022-11-23T01:30:20.8430493Z                 {
2022-11-23T01:30:20.8430560Z                     {
2022-11-23T01:30:20.8430664Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8430757Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.8430865Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:20.8430957Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.8431054Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8431108Z                     }
2022-11-23T01:30:20.8431171Z                 }
2022-11-23T01:30:20.8431234Z             }
2022-11-23T01:30:20.8431296Z         }
2022-11-23T01:30:20.8431358Z     }
2022-11-23T01:30:20.8431417Z }
2022-11-23T01:30:20.8431494Z ''')
2022-11-23T01:30:20.8431499Z 
2022-11-23T01:30:20.8431503Z 
2022-11-23T01:30:20.8431579Z async_compile.wait(globals())
2022-11-23T01:30:20.8431650Z del async_compile
2022-11-23T01:30:20.8431655Z 
2022-11-23T01:30:20.8431723Z def call(args):
2022-11-23T01:30:20.8431796Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8431894Z     args.clear()
2022-11-23T01:30:20.8432091Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8432253Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8432308Z     del arg0_1
2022-11-23T01:30:20.8432373Z     del arg1_1
2022-11-23T01:30:20.8432442Z     return (buf0, )
2022-11-23T01:30:20.8432447Z 
2022-11-23T01:30:20.8432450Z 
2022-11-23T01:30:20.8432524Z if __name__ == "__main__":
2022-11-23T01:30:20.8432636Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8432785Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8432984Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8433173Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8433274Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8433279Z 
2022-11-23T01:30:20.8433347Z ok (1.424s)
2022-11-23T01:30:20.8433687Z   test_cpu_strided_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8434077Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8434298Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8434551Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8434831Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8435150Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8435496Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8435821Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8436188Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8436277Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8436368Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8436441Z               4 BINARY_ADD
2022-11-23T01:30:20.8436528Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8436601Z               8 RETURN_VALUE
2022-11-23T01:30:20.8436661Z  
2022-11-23T01:30:20.8436666Z 
2022-11-23T01:30:20.8436981Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8437176Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8437413Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8437685Z [2022-11-23 01:30:09,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8437924Z [2022-11-23 01:30:09,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8438169Z [2022-11-23 01:30:09,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8438586Z [2022-11-23 01:30:09,445] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8438832Z [2022-11-23 01:30:09,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8439060Z [2022-11-23 01:30:09,446] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8439309Z [2022-11-23 01:30:09,446] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8439556Z [2022-11-23 01:30:09,450] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8439731Z [2022-11-23 01:30:09,450] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8439893Z  __compiled_fn_515 <eval_with_key>.3909 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8439982Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8440066Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8440242Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8440337Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8440343Z 
2022-11-23T01:30:20.8440663Z [2022-11-23 01:30:09,450] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8440756Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8440834Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8440919Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8441009Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8441093Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8441183Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8441258Z              12 RETURN_VALUE
2022-11-23T01:30:20.8441263Z 
2022-11-23T01:30:20.8441323Z  
2022-11-23T01:30:20.8441627Z [2022-11-23 01:30:09,451] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8441737Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_515)
2022-11-23T01:30:20.8441826Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8441913Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8441989Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8442075Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8442160Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8442234Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8442308Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8442408Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8442511Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8442599Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8442673Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8442758Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8442832Z              26 RETURN_VALUE
2022-11-23T01:30:20.8442838Z 
2022-11-23T01:30:20.8442885Z  
2022-11-23T01:30:20.8443065Z [2022-11-23 01:30:09,451] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8443134Z  - 
2022-11-23T01:30:20.8443252Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8443315Z             {
2022-11-23T01:30:20.8443454Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8443641Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8443748Z                 'obj_weakref': None
2022-11-23T01:30:20.8443971Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8444036Z             }
2022-11-23T01:30:20.8444098Z             
2022-11-23T01:30:20.8444165Z  - 
2022-11-23T01:30:20.8444289Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8444350Z             {
2022-11-23T01:30:20.8444478Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8444625Z                 'code': None,
2022-11-23T01:30:20.8444837Z                 'obj_weakref': <weakref at 0x7ff59c18d080; to 'Tensor' at 0x7ff59c13a610>
2022-11-23T01:30:20.8445089Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8445152Z             }
2022-11-23T01:30:20.8445214Z             
2022-11-23T01:30:20.8445280Z  - 
2022-11-23T01:30:20.8445389Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8445451Z             {
2022-11-23T01:30:20.8445593Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8445699Z                 'code': None,
2022-11-23T01:30:20.8445938Z                 'obj_weakref': <weakref at 0x7ff57ee34ef0; to 'Tensor' at 0x7ff58f9a8e00>
2022-11-23T01:30:20.8446189Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8446250Z             }
2022-11-23T01:30:20.8446300Z             
2022-11-23T01:30:20.8446370Z  - 
2022-11-23T01:30:20.8446500Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8446562Z             {
2022-11-23T01:30:20.8446694Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8446862Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8446979Z                 'obj_weakref': None
2022-11-23T01:30:20.8447194Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8447255Z             }
2022-11-23T01:30:20.8447315Z             
2022-11-23T01:30:20.8447385Z  - 
2022-11-23T01:30:20.8447507Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8447571Z             {
2022-11-23T01:30:20.8447705Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8447907Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8448022Z                 'obj_weakref': None
2022-11-23T01:30:20.8448241Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8448303Z             }
2022-11-23T01:30:20.8448364Z             
2022-11-23T01:30:20.8448622Z [2022-11-23 01:30:09,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 507
2022-11-23T01:30:20.8448988Z [2022-11-23 01:30:10,856] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a7/ca7vuplzfyuy7tubloqle2ntf24tfbjulihckzfgeqwo27qau5cb.py
2022-11-23T01:30:20.8449248Z [2022-11-23 01:30:10,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 507
2022-11-23T01:30:20.8449255Z 
2022-11-23T01:30:20.8449347Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8449404Z import torch
2022-11-23T01:30:20.8449471Z import random
2022-11-23T01:30:20.8449585Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8449705Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8449710Z 
2022-11-23T01:30:20.8449787Z aten = torch.ops.aten
2022-11-23T01:30:20.8449919Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8450008Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8450013Z 
2022-11-23T01:30:20.8450018Z 
2022-11-23T01:30:20.8450137Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8450341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8450457Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8450558Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8450657Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8450718Z {
2022-11-23T01:30:20.8450815Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8450864Z     {
2022-11-23T01:30:20.8450946Z         #pragma omp for 
2022-11-23T01:30:20.8451029Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8451093Z         {
2022-11-23T01:30:20.8451199Z             #pragma GCC ivdep
2022-11-23T01:30:20.8451285Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8451351Z             {
2022-11-23T01:30:20.8451402Z                 {
2022-11-23T01:30:20.8451473Z                     {
2022-11-23T01:30:20.8451577Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8451682Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8451777Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8451873Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8451940Z                     }
2022-11-23T01:30:20.8452020Z                 }
2022-11-23T01:30:20.8452084Z             }
2022-11-23T01:30:20.8452148Z         }
2022-11-23T01:30:20.8452211Z     }
2022-11-23T01:30:20.8452271Z }
2022-11-23T01:30:20.8452352Z ''')
2022-11-23T01:30:20.8452358Z 
2022-11-23T01:30:20.8452362Z 
2022-11-23T01:30:20.8452452Z async_compile.wait(globals())
2022-11-23T01:30:20.8452513Z del async_compile
2022-11-23T01:30:20.8452518Z 
2022-11-23T01:30:20.8452589Z def call(args):
2022-11-23T01:30:20.8452667Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8452739Z     args.clear()
2022-11-23T01:30:20.8452940Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8453123Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8453222Z     del arg0_1
2022-11-23T01:30:20.8453293Z     del arg1_1
2022-11-23T01:30:20.8453398Z     return (buf0, )
2022-11-23T01:30:20.8453406Z 
2022-11-23T01:30:20.8453412Z 
2022-11-23T01:30:20.8453536Z if __name__ == "__main__":
2022-11-23T01:30:20.8453744Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8453964Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8454317Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8454543Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8454658Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8454664Z 
2022-11-23T01:30:20.8454731Z ok (1.419s)
2022-11-23T01:30:20.8455066Z   test_cpu_strided_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:10,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8455386Z [2022-11-23 01:30:10,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8455605Z [2022-11-23 01:30:10,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8455862Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8456138Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8456574Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8456919Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8457240Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8457618Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8457712Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8457790Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8457863Z               4 BINARY_ADD
2022-11-23T01:30:20.8458009Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8458086Z               8 RETURN_VALUE
2022-11-23T01:30:20.8458149Z  
2022-11-23T01:30:20.8458154Z 
2022-11-23T01:30:20.8458466Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8458675Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8458914Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8459174Z [2022-11-23 01:30:10,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8459450Z [2022-11-23 01:30:10,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8459693Z [2022-11-23 01:30:10,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8460078Z [2022-11-23 01:30:10,864] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8460322Z [2022-11-23 01:30:10,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8460558Z [2022-11-23 01:30:10,864] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8460811Z [2022-11-23 01:30:10,865] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8461058Z [2022-11-23 01:30:10,869] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8461248Z [2022-11-23 01:30:10,869] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8461369Z  __compiled_fn_516 <eval_with_key>.3915 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8461456Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8461546Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8461722Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8461815Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8461821Z 
2022-11-23T01:30:20.8462144Z [2022-11-23 01:30:10,869] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8462233Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8462322Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8462396Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8462489Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8462572Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8462659Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8462734Z              12 RETURN_VALUE
2022-11-23T01:30:20.8462739Z 
2022-11-23T01:30:20.8462798Z  
2022-11-23T01:30:20.8463118Z [2022-11-23 01:30:10,869] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8463224Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_516)
2022-11-23T01:30:20.8463301Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8463389Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8463463Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8463550Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8463634Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8463707Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8463793Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8463883Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8463983Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8464070Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8464169Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8464257Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8464330Z              26 RETURN_VALUE
2022-11-23T01:30:20.8464335Z 
2022-11-23T01:30:20.8464394Z  
2022-11-23T01:30:20.8464564Z [2022-11-23 01:30:10,870] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8464632Z  - 
2022-11-23T01:30:20.8464749Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8464812Z             {
2022-11-23T01:30:20.8464951Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8465140Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8465287Z                 'obj_weakref': None
2022-11-23T01:30:20.8465498Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8465561Z             }
2022-11-23T01:30:20.8465624Z             
2022-11-23T01:30:20.8465691Z  - 
2022-11-23T01:30:20.8465813Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8465876Z             {
2022-11-23T01:30:20.8466015Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8466109Z                 'code': None,
2022-11-23T01:30:20.8466322Z                 'obj_weakref': <weakref at 0x7ff57ef61d50; to 'Tensor' at 0x7ff5a807bd80>
2022-11-23T01:30:20.8466574Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8466639Z             }
2022-11-23T01:30:20.8466700Z             
2022-11-23T01:30:20.8466766Z  - 
2022-11-23T01:30:20.8466888Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8466941Z             {
2022-11-23T01:30:20.8467080Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8467185Z                 'code': None,
2022-11-23T01:30:20.8467395Z                 'obj_weakref': <weakref at 0x7ff59c0ecd10; to 'Tensor' at 0x7ff57ef7bbf0>
2022-11-23T01:30:20.8467646Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8467708Z             }
2022-11-23T01:30:20.8467771Z             
2022-11-23T01:30:20.8467828Z  - 
2022-11-23T01:30:20.8467955Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8468017Z             {
2022-11-23T01:30:20.8468149Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8468315Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8468434Z                 'obj_weakref': None
2022-11-23T01:30:20.8468660Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8468712Z             }
2022-11-23T01:30:20.8468776Z             
2022-11-23T01:30:20.8468843Z  - 
2022-11-23T01:30:20.8468964Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8469026Z             {
2022-11-23T01:30:20.8469158Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8469372Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8469476Z                 'obj_weakref': None
2022-11-23T01:30:20.8469694Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8469754Z             }
2022-11-23T01:30:20.8469816Z             
2022-11-23T01:30:20.8470075Z [2022-11-23 01:30:10,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 508
2022-11-23T01:30:20.8470440Z [2022-11-23 01:30:12,276] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i7/ci7gwqixjh6lfzjwg6auhm3st3enkxfj4cmbw4sck67modifvgr6.py
2022-11-23T01:30:20.8470705Z [2022-11-23 01:30:12,276] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 508
2022-11-23T01:30:20.8470711Z 
2022-11-23T01:30:20.8470802Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8470859Z import torch
2022-11-23T01:30:20.8470925Z import random
2022-11-23T01:30:20.8471065Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8471188Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8471193Z 
2022-11-23T01:30:20.8471270Z aten = torch.ops.aten
2022-11-23T01:30:20.8471408Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8471498Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8471503Z 
2022-11-23T01:30:20.8471508Z 
2022-11-23T01:30:20.8471640Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8471831Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8471946Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8472076Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8472175Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8472236Z {
2022-11-23T01:30:20.8472333Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8472392Z     {
2022-11-23T01:30:20.8472458Z         #pragma omp for 
2022-11-23T01:30:20.8472538Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8472601Z         {
2022-11-23T01:30:20.8472679Z             #pragma GCC ivdep
2022-11-23T01:30:20.8472763Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8472828Z             {
2022-11-23T01:30:20.8472891Z                 {
2022-11-23T01:30:20.8472944Z                     {
2022-11-23T01:30:20.8473047Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8473148Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:30:20.8473240Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8473337Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8473402Z                     }
2022-11-23T01:30:20.8473464Z                 }
2022-11-23T01:30:20.8473514Z             }
2022-11-23T01:30:20.8473573Z         }
2022-11-23T01:30:20.8473633Z     }
2022-11-23T01:30:20.8473692Z }
2022-11-23T01:30:20.8473768Z ''')
2022-11-23T01:30:20.8473775Z 
2022-11-23T01:30:20.8473781Z 
2022-11-23T01:30:20.8473963Z async_compile.wait(globals())
2022-11-23T01:30:20.8474035Z del async_compile
2022-11-23T01:30:20.8474040Z 
2022-11-23T01:30:20.8474096Z def call(args):
2022-11-23T01:30:20.8474171Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8474241Z     args.clear()
2022-11-23T01:30:20.8474444Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8474605Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8474673Z     del arg0_1
2022-11-23T01:30:20.8474741Z     del arg1_1
2022-11-23T01:30:20.8474799Z     return (buf0, )
2022-11-23T01:30:20.8474803Z 
2022-11-23T01:30:20.8474821Z 
2022-11-23T01:30:20.8474883Z if __name__ == "__main__":
2022-11-23T01:30:20.8474998Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8475121Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8475322Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8475521Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8475634Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8475638Z 
2022-11-23T01:30:20.8475705Z ok (1.420s)
2022-11-23T01:30:20.8476046Z   test_cpu_transposed_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:12,282] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8476362Z [2022-11-23 01:30:12,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8476580Z [2022-11-23 01:30:12,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8476831Z [2022-11-23 01:30:12,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8477146Z [2022-11-23 01:30:12,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8477465Z [2022-11-23 01:30:12,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8477806Z [2022-11-23 01:30:12,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8478125Z [2022-11-23 01:30:12,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8478531Z [2022-11-23 01:30:12,283] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8478622Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8478713Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8478774Z               4 BINARY_ADD
2022-11-23T01:30:20.8478861Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8478935Z               8 RETURN_VALUE
2022-11-23T01:30:20.8478994Z  
2022-11-23T01:30:20.8478999Z 
2022-11-23T01:30:20.8479310Z [2022-11-23 01:30:12,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8479519Z [2022-11-23 01:30:12,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8479754Z [2022-11-23 01:30:12,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8480026Z [2022-11-23 01:30:12,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8480252Z [2022-11-23 01:30:12,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8480498Z [2022-11-23 01:30:12,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8480881Z [2022-11-23 01:30:12,284] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8481122Z [2022-11-23 01:30:12,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8481351Z [2022-11-23 01:30:12,284] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8481600Z [2022-11-23 01:30:12,285] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8481850Z [2022-11-23 01:30:12,288] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8482034Z [2022-11-23 01:30:12,288] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8482168Z  __compiled_fn_517 <eval_with_key>.3921 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8482244Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8482327Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8482505Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8482598Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8482603Z 
2022-11-23T01:30:20.8482924Z [2022-11-23 01:30:12,289] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8483016Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8483108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8483193Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8483272Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8483355Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8483444Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8483543Z              12 RETURN_VALUE
2022-11-23T01:30:20.8483549Z 
2022-11-23T01:30:20.8483609Z  
2022-11-23T01:30:20.8483926Z [2022-11-23 01:30:12,289] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8484032Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_517)
2022-11-23T01:30:20.8484108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8484195Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8484271Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8484384Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8484470Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8484544Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8484628Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8484718Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8484819Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8484907Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8484983Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8485069Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8485141Z              26 RETURN_VALUE
2022-11-23T01:30:20.8485146Z 
2022-11-23T01:30:20.8485207Z  
2022-11-23T01:30:20.8485387Z [2022-11-23 01:30:12,290] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8485444Z  - 
2022-11-23T01:30:20.8485561Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8485623Z             {
2022-11-23T01:30:20.8485764Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8485948Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8486064Z                 'obj_weakref': None
2022-11-23T01:30:20.8486287Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8486341Z             }
2022-11-23T01:30:20.8486403Z             
2022-11-23T01:30:20.8486470Z  - 
2022-11-23T01:30:20.8486593Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8486654Z             {
2022-11-23T01:30:20.8486793Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8486900Z                 'code': None,
2022-11-23T01:30:20.8487100Z                 'obj_weakref': <weakref at 0x7ff57eead940; to 'Tensor' at 0x7ff57f945bc0>
2022-11-23T01:30:20.8487354Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8487417Z             }
2022-11-23T01:30:20.8487480Z             
2022-11-23T01:30:20.8487548Z  - 
2022-11-23T01:30:20.8487671Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8487732Z             {
2022-11-23T01:30:20.8487861Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8487963Z                 'code': None,
2022-11-23T01:30:20.8488176Z                 'obj_weakref': <weakref at 0x7ff57ee5a7f0; to 'Tensor' at 0x7ff57f9476a0>
2022-11-23T01:30:20.8488426Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8488492Z             }
2022-11-23T01:30:20.8488552Z             
2022-11-23T01:30:20.8488619Z  - 
2022-11-23T01:30:20.8488735Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8488796Z             {
2022-11-23T01:30:20.8488928Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8489098Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8489215Z                 'obj_weakref': None
2022-11-23T01:30:20.8489445Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8489503Z             }
2022-11-23T01:30:20.8489553Z             
2022-11-23T01:30:20.8489620Z  - 
2022-11-23T01:30:20.8489739Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8489838Z             {
2022-11-23T01:30:20.8489977Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8490196Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8490315Z                 'obj_weakref': None
2022-11-23T01:30:20.8490521Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8490585Z             }
2022-11-23T01:30:20.8490647Z             
2022-11-23T01:30:20.8490907Z [2022-11-23 01:30:12,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 509
2022-11-23T01:30:20.8491330Z [2022-11-23 01:30:12,304] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tc/ctccg2ryjvmxb4z26yzfc2fme76phrvhvwwixornapfooasn5s3y.py
2022-11-23T01:30:20.8491595Z [2022-11-23 01:30:12,305] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 509
2022-11-23T01:30:20.8491600Z 
2022-11-23T01:30:20.8491694Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8491764Z import torch
2022-11-23T01:30:20.8491821Z import random
2022-11-23T01:30:20.8491937Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8492058Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8492063Z 
2022-11-23T01:30:20.8492141Z aten = torch.ops.aten
2022-11-23T01:30:20.8492276Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8492368Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8492373Z 
2022-11-23T01:30:20.8492377Z 
2022-11-23T01:30:20.8492511Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8492720Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8492826Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8492930Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8493030Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8493096Z {
2022-11-23T01:30:20.8493192Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8493256Z     {
2022-11-23T01:30:20.8493334Z         #pragma omp for 
2022-11-23T01:30:20.8493403Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8493467Z         {
2022-11-23T01:30:20.8493550Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.8493614Z             {
2022-11-23T01:30:20.8493770Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.8493893Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:30:20.8493983Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8494073Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.8494136Z             }
2022-11-23T01:30:20.8494228Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.8494310Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.8494374Z             {
2022-11-23T01:30:20.8494471Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.8494557Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.8494630Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8494722Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8494785Z             }
2022-11-23T01:30:20.8494849Z         }
2022-11-23T01:30:20.8494911Z     }
2022-11-23T01:30:20.8494972Z }
2022-11-23T01:30:20.8495050Z ''')
2022-11-23T01:30:20.8495055Z 
2022-11-23T01:30:20.8495060Z 
2022-11-23T01:30:20.8495135Z async_compile.wait(globals())
2022-11-23T01:30:20.8495208Z del async_compile
2022-11-23T01:30:20.8495215Z 
2022-11-23T01:30:20.8495285Z def call(args):
2022-11-23T01:30:20.8495362Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8495432Z     args.clear()
2022-11-23T01:30:20.8495633Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8495825Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8495882Z     del arg0_1
2022-11-23T01:30:20.8495951Z     del arg1_1
2022-11-23T01:30:20.8496019Z     return (buf0, )
2022-11-23T01:30:20.8496024Z 
2022-11-23T01:30:20.8496028Z 
2022-11-23T01:30:20.8496105Z if __name__ == "__main__":
2022-11-23T01:30:20.8496221Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8496344Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8496665Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8496859Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8497012Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8497028Z 
2022-11-23T01:30:20.8497082Z ok (0.028s)
2022-11-23T01:30:20.8497434Z   test_cpu_transposed_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:12,310] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8497752Z [2022-11-23 01:30:12,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8497971Z [2022-11-23 01:30:12,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8498221Z [2022-11-23 01:30:12,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8498497Z [2022-11-23 01:30:12,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8498818Z [2022-11-23 01:30:12,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8499161Z [2022-11-23 01:30:12,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8499484Z [2022-11-23 01:30:12,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8499853Z [2022-11-23 01:30:12,311] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8499945Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8500036Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8500109Z               4 BINARY_ADD
2022-11-23T01:30:20.8500200Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8500276Z               8 RETURN_VALUE
2022-11-23T01:30:20.8500338Z  
2022-11-23T01:30:20.8500343Z 
2022-11-23T01:30:20.8500655Z [2022-11-23 01:30:12,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8500851Z [2022-11-23 01:30:12,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8501088Z [2022-11-23 01:30:12,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8501358Z [2022-11-23 01:30:12,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8501594Z [2022-11-23 01:30:12,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8501836Z [2022-11-23 01:30:12,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8502217Z [2022-11-23 01:30:12,312] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8502462Z [2022-11-23 01:30:12,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8502729Z [2022-11-23 01:30:12,312] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8502980Z [2022-11-23 01:30:12,313] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8503227Z [2022-11-23 01:30:12,316] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8503401Z [2022-11-23 01:30:12,316] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8503533Z  __compiled_fn_518 <eval_with_key>.3927 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8503621Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8503706Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8503911Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8504003Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8504009Z 
2022-11-23T01:30:20.8504329Z [2022-11-23 01:30:12,316] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8504422Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8504500Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8504585Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8504676Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8504761Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8504847Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8504924Z              12 RETURN_VALUE
2022-11-23T01:30:20.8504929Z 
2022-11-23T01:30:20.8504988Z  
2022-11-23T01:30:20.8505292Z [2022-11-23 01:30:12,316] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8505401Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_518)
2022-11-23T01:30:20.8505489Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8505577Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8505657Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8505743Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8505828Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8505902Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8505976Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8506078Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8506177Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8506264Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8506338Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8506426Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8506498Z              26 RETURN_VALUE
2022-11-23T01:30:20.8506504Z 
2022-11-23T01:30:20.8506552Z  
2022-11-23T01:30:20.8506734Z [2022-11-23 01:30:12,317] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8506802Z  - 
2022-11-23T01:30:20.8506919Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8506983Z             {
2022-11-23T01:30:20.8507121Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8507306Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8507411Z                 'obj_weakref': None
2022-11-23T01:30:20.8507633Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8507697Z             }
2022-11-23T01:30:20.8507759Z             
2022-11-23T01:30:20.8507827Z  - 
2022-11-23T01:30:20.8507949Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8508010Z             {
2022-11-23T01:30:20.8508139Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8508243Z                 'code': None,
2022-11-23T01:30:20.8508453Z                 'obj_weakref': <weakref at 0x7ff5a81e1850; to 'Tensor' at 0x7ff57efedcb0>
2022-11-23T01:30:20.8508730Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8508794Z             }
2022-11-23T01:30:20.8508855Z             
2022-11-23T01:30:20.8508924Z  - 
2022-11-23T01:30:20.8509032Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8509094Z             {
2022-11-23T01:30:20.8509234Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8509339Z                 'code': None,
2022-11-23T01:30:20.8509549Z                 'obj_weakref': <weakref at 0x7ff58f91ca40; to 'Tensor' at 0x7ff57efef240>
2022-11-23T01:30:20.8509798Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8509908Z             }
2022-11-23T01:30:20.8509958Z             
2022-11-23T01:30:20.8510026Z  - 
2022-11-23T01:30:20.8510153Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8510215Z             {
2022-11-23T01:30:20.8510350Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8510518Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8510635Z                 'obj_weakref': None
2022-11-23T01:30:20.8510853Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8510915Z             }
2022-11-23T01:30:20.8510977Z             
2022-11-23T01:30:20.8511045Z  - 
2022-11-23T01:30:20.8511164Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8511224Z             {
2022-11-23T01:30:20.8511358Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8511560Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8511676Z                 'obj_weakref': None
2022-11-23T01:30:20.8511891Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8511956Z             }
2022-11-23T01:30:20.8512017Z             
2022-11-23T01:30:20.8512278Z [2022-11-23 01:30:12,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 510
2022-11-23T01:30:20.8512658Z [2022-11-23 01:30:12,331] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ek/cekta2yjlybjfjgti3gh4i2yxqov4hszbpwrvqjyu7sbxxttcnvk.py
2022-11-23T01:30:20.8512921Z [2022-11-23 01:30:12,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 510
2022-11-23T01:30:20.8512926Z 
2022-11-23T01:30:20.8513017Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8513073Z import torch
2022-11-23T01:30:20.8513141Z import random
2022-11-23T01:30:20.8513253Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8513375Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8513380Z 
2022-11-23T01:30:20.8513458Z aten = torch.ops.aten
2022-11-23T01:30:20.8513590Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8513683Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8513688Z 
2022-11-23T01:30:20.8513692Z 
2022-11-23T01:30:20.8513897Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8514094Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8514212Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8514317Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8514414Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8514476Z {
2022-11-23T01:30:20.8514571Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8514632Z     {
2022-11-23T01:30:20.8514696Z         #pragma omp for 
2022-11-23T01:30:20.8514781Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8514845Z         {
2022-11-23T01:30:20.8514931Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:30:20.8514993Z             {
2022-11-23T01:30:20.8515139Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.8515308Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i1);
2022-11-23T01:30:20.8515385Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8515487Z                 tmp2.store(out_ptr0 + (8*i1) + (10*i0));
2022-11-23T01:30:20.8515550Z             }
2022-11-23T01:30:20.8515642Z             #pragma omp simd simdlen(4) 
2022-11-23T01:30:20.8515721Z             for(long i1=8; i1<10; i1+=1)
2022-11-23T01:30:20.8515782Z             {
2022-11-23T01:30:20.8515875Z                 auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.8515946Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:30:20.8516029Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8516150Z                 out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8516215Z             }
2022-11-23T01:30:20.8516276Z         }
2022-11-23T01:30:20.8516336Z     }
2022-11-23T01:30:20.8516398Z }
2022-11-23T01:30:20.8516469Z ''')
2022-11-23T01:30:20.8516474Z 
2022-11-23T01:30:20.8516478Z 
2022-11-23T01:30:20.8516566Z async_compile.wait(globals())
2022-11-23T01:30:20.8516639Z del async_compile
2022-11-23T01:30:20.8516644Z 
2022-11-23T01:30:20.8516712Z def call(args):
2022-11-23T01:30:20.8516787Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8516858Z     args.clear()
2022-11-23T01:30:20.8517066Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8517217Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8517283Z     del arg0_1
2022-11-23T01:30:20.8517349Z     del arg1_1
2022-11-23T01:30:20.8517420Z     return (buf0, )
2022-11-23T01:30:20.8517427Z 
2022-11-23T01:30:20.8517431Z 
2022-11-23T01:30:20.8517509Z if __name__ == "__main__":
2022-11-23T01:30:20.8517621Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8517742Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8517942Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8518135Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8518247Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8518252Z 
2022-11-23T01:30:20.8518317Z ok (0.026s)
2022-11-23T01:30:20.8518665Z   test_cpu_transposed_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:12,336] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8518978Z [2022-11-23 01:30:12,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8519192Z [2022-11-23 01:30:12,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8519441Z [2022-11-23 01:30:12,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8519717Z [2022-11-23 01:30:12,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8520035Z [2022-11-23 01:30:12,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8520366Z [2022-11-23 01:30:12,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8520683Z [2022-11-23 01:30:12,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8521062Z [2022-11-23 01:30:12,337] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8521156Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8521245Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8521317Z               4 BINARY_ADD
2022-11-23T01:30:20.8521433Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8521509Z               8 RETURN_VALUE
2022-11-23T01:30:20.8521568Z  
2022-11-23T01:30:20.8521573Z 
2022-11-23T01:30:20.8521871Z [2022-11-23 01:30:12,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8522078Z [2022-11-23 01:30:12,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8522313Z [2022-11-23 01:30:12,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8522583Z [2022-11-23 01:30:12,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8522851Z [2022-11-23 01:30:12,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8523098Z [2022-11-23 01:30:12,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8523479Z [2022-11-23 01:30:12,338] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8523720Z [2022-11-23 01:30:12,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8523948Z [2022-11-23 01:30:12,338] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8524189Z [2022-11-23 01:30:12,339] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8524439Z [2022-11-23 01:30:12,342] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8524625Z [2022-11-23 01:30:12,342] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8524757Z  __compiled_fn_519 <eval_with_key>.3933 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8524845Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8524931Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8525104Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8525196Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8525201Z 
2022-11-23T01:30:20.8525521Z [2022-11-23 01:30:12,342] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8525603Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8525692Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8525779Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8525872Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8525955Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8526040Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8526114Z              12 RETURN_VALUE
2022-11-23T01:30:20.8526119Z 
2022-11-23T01:30:20.8526168Z  
2022-11-23T01:30:20.8526487Z [2022-11-23 01:30:12,343] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8526594Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_519)
2022-11-23T01:30:20.8526682Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8526769Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8526845Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8526931Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8527015Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8527080Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8527166Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8527267Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8527364Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8527476Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8527551Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8527635Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8527697Z              26 RETURN_VALUE
2022-11-23T01:30:20.8527702Z 
2022-11-23T01:30:20.8527761Z  
2022-11-23T01:30:20.8527940Z [2022-11-23 01:30:12,343] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8528009Z  - 
2022-11-23T01:30:20.8528125Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8528187Z             {
2022-11-23T01:30:20.8528327Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8528501Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8528650Z                 'obj_weakref': None
2022-11-23T01:30:20.8528871Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8528935Z             }
2022-11-23T01:30:20.8528996Z             
2022-11-23T01:30:20.8529066Z  - 
2022-11-23T01:30:20.8529190Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8529241Z             {
2022-11-23T01:30:20.8529381Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8529489Z                 'code': None,
2022-11-23T01:30:20.8529701Z                 'obj_weakref': <weakref at 0x7ff5a81b9b20; to 'Tensor' at 0x7ff57ef61e40>
2022-11-23T01:30:20.8529953Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8530017Z             }
2022-11-23T01:30:20.8530081Z             
2022-11-23T01:30:20.8530139Z  - 
2022-11-23T01:30:20.8530265Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8530328Z             {
2022-11-23T01:30:20.8530473Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8530580Z                 'code': None,
2022-11-23T01:30:20.8530789Z                 'obj_weakref': <weakref at 0x7ff58ff17830; to 'Tensor' at 0x7ff57ff17560>
2022-11-23T01:30:20.8531045Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8531096Z             }
2022-11-23T01:30:20.8531159Z             
2022-11-23T01:30:20.8531228Z  - 
2022-11-23T01:30:20.8531363Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8531427Z             {
2022-11-23T01:30:20.8531560Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8531730Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8531837Z                 'obj_weakref': None
2022-11-23T01:30:20.8532066Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8532133Z             }
2022-11-23T01:30:20.8532197Z             
2022-11-23T01:30:20.8532265Z  - 
2022-11-23T01:30:20.8532388Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8532450Z             {
2022-11-23T01:30:20.8532575Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8532792Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8532911Z                 'obj_weakref': None
2022-11-23T01:30:20.8533131Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8533195Z             }
2022-11-23T01:30:20.8533257Z             
2022-11-23T01:30:20.8533515Z [2022-11-23 01:30:12,348] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 511
2022-11-23T01:30:20.8533867Z [2022-11-23 01:30:12,356] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7z/c7zhzbrmanasxgpp626emtrmwu25yasiu5wjvq2nb2wkrpfx4mey.py
2022-11-23T01:30:20.8534132Z [2022-11-23 01:30:12,356] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 511
2022-11-23T01:30:20.8534137Z 
2022-11-23T01:30:20.8534235Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8534303Z import torch
2022-11-23T01:30:20.8534414Z import random
2022-11-23T01:30:20.8534530Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8534652Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8534657Z 
2022-11-23T01:30:20.8534735Z aten = torch.ops.aten
2022-11-23T01:30:20.8534856Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8534949Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8534955Z 
2022-11-23T01:30:20.8534959Z 
2022-11-23T01:30:20.8535097Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8535301Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8535452Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8535556Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8535656Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8535719Z {
2022-11-23T01:30:20.8535803Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8535865Z     {
2022-11-23T01:30:20.8535940Z         #pragma omp for 
2022-11-23T01:30:20.8536024Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.8536088Z         {
2022-11-23T01:30:20.8536224Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.8536345Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:30:20.8536551Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8536643Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.8536704Z         }
2022-11-23T01:30:20.8536798Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.8536882Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:30:20.8536946Z         {
2022-11-23T01:30:20.8537031Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8537100Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:30:20.8537184Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8537263Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.8537328Z         }
2022-11-23T01:30:20.8537394Z     }
2022-11-23T01:30:20.8537455Z }
2022-11-23T01:30:20.8537537Z ''')
2022-11-23T01:30:20.8537541Z 
2022-11-23T01:30:20.8537546Z 
2022-11-23T01:30:20.8537622Z async_compile.wait(globals())
2022-11-23T01:30:20.8537694Z del async_compile
2022-11-23T01:30:20.8537699Z 
2022-11-23T01:30:20.8537770Z def call(args):
2022-11-23T01:30:20.8537849Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8537919Z     args.clear()
2022-11-23T01:30:20.8538118Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8538282Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8538340Z     del arg0_1
2022-11-23T01:30:20.8538405Z     del arg1_1
2022-11-23T01:30:20.8538474Z     return (buf0, )
2022-11-23T01:30:20.8538480Z 
2022-11-23T01:30:20.8538484Z 
2022-11-23T01:30:20.8538558Z if __name__ == "__main__":
2022-11-23T01:30:20.8538672Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8538795Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8538993Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8539182Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8539284Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8539300Z 
2022-11-23T01:30:20.8539353Z ok (0.025s)
2022-11-23T01:30:20.8539697Z   test_cpu_transposed_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8540016Z [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8540232Z [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8540529Z [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8540807Z [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8541128Z [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8541470Z [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8541789Z [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8542196Z [2022-11-23 01:30:12,361] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8542290Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8542380Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8542453Z               4 BINARY_ADD
2022-11-23T01:30:20.8542544Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8542622Z               8 RETURN_VALUE
2022-11-23T01:30:20.8542693Z  
2022-11-23T01:30:20.8542698Z 
2022-11-23T01:30:20.8543011Z [2022-11-23 01:30:12,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8543206Z [2022-11-23 01:30:12,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8543442Z [2022-11-23 01:30:12,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8543713Z [2022-11-23 01:30:12,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8543955Z [2022-11-23 01:30:12,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8544201Z [2022-11-23 01:30:12,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8544589Z [2022-11-23 01:30:12,363] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8544831Z [2022-11-23 01:30:12,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8545063Z [2022-11-23 01:30:12,363] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8545317Z [2022-11-23 01:30:12,364] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8545561Z [2022-11-23 01:30:12,366] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8545738Z [2022-11-23 01:30:12,367] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8545870Z  __compiled_fn_520 <eval_with_key>.3939 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8545956Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8546045Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8546221Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8546315Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8546320Z 
2022-11-23T01:30:20.8546642Z [2022-11-23 01:30:12,367] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8546736Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8546813Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8546898Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8546989Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8547100Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8547186Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8547261Z              12 RETURN_VALUE
2022-11-23T01:30:20.8547266Z 
2022-11-23T01:30:20.8547326Z  
2022-11-23T01:30:20.8547631Z [2022-11-23 01:30:12,367] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8547740Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_520)
2022-11-23T01:30:20.8547827Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8547915Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8548019Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8548105Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8548191Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8548264Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8548338Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8548441Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8548541Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8548628Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8548702Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8548789Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8548862Z              26 RETURN_VALUE
2022-11-23T01:30:20.8548867Z 
2022-11-23T01:30:20.8548915Z  
2022-11-23T01:30:20.8549095Z [2022-11-23 01:30:12,368] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8549164Z  - 
2022-11-23T01:30:20.8549280Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8549345Z             {
2022-11-23T01:30:20.8549482Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8549666Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8549772Z                 'obj_weakref': None
2022-11-23T01:30:20.8549998Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8550061Z             }
2022-11-23T01:30:20.8550125Z             
2022-11-23T01:30:20.8550195Z  - 
2022-11-23T01:30:20.8550320Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8550381Z             {
2022-11-23T01:30:20.8550509Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8550613Z                 'code': None,
2022-11-23T01:30:20.8550825Z                 'obj_weakref': <weakref at 0x7ff57efee480; to 'Tensor' at 0x7ff57ee34400>
2022-11-23T01:30:20.8551075Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8551139Z             }
2022-11-23T01:30:20.8551201Z             
2022-11-23T01:30:20.8551268Z  - 
2022-11-23T01:30:20.8551377Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8551438Z             {
2022-11-23T01:30:20.8551578Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8551685Z                 'code': None,
2022-11-23T01:30:20.8551897Z                 'obj_weakref': <weakref at 0x7ff57eeaf3d0; to 'Tensor' at 0x7ff57ef05c60>
2022-11-23T01:30:20.8552149Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8552210Z             }
2022-11-23T01:30:20.8552260Z             
2022-11-23T01:30:20.8552326Z  - 
2022-11-23T01:30:20.8552455Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8552517Z             {
2022-11-23T01:30:20.8552649Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8552814Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8552933Z                 'obj_weakref': None
2022-11-23T01:30:20.8553148Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8553210Z             }
2022-11-23T01:30:20.8553272Z             
2022-11-23T01:30:20.8553340Z  - 
2022-11-23T01:30:20.8553488Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8553550Z             {
2022-11-23T01:30:20.8553685Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8553956Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8554077Z                 'obj_weakref': None
2022-11-23T01:30:20.8554294Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8554358Z             }
2022-11-23T01:30:20.8554420Z             
2022-11-23T01:30:20.8554678Z [2022-11-23 01:30:12,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 512
2022-11-23T01:30:20.8555080Z [2022-11-23 01:30:13,771] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e7/ce7jik3ki355xugsveod6p2rzddglkyborhpy5wdxdnfwexmr6hw.py
2022-11-23T01:30:20.8555344Z [2022-11-23 01:30:13,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 512
2022-11-23T01:30:20.8555350Z 
2022-11-23T01:30:20.8555430Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8555497Z import torch
2022-11-23T01:30:20.8555572Z import random
2022-11-23T01:30:20.8555684Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8555805Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8555810Z 
2022-11-23T01:30:20.8555887Z aten = torch.ops.aten
2022-11-23T01:30:20.8556020Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8556099Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8556116Z 
2022-11-23T01:30:20.8556122Z 
2022-11-23T01:30:20.8556243Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8556445Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8556562Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8556666Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8556764Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8556824Z {
2022-11-23T01:30:20.8556921Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8556971Z     {
2022-11-23T01:30:20.8557045Z         #pragma omp for 
2022-11-23T01:30:20.8557125Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8557188Z         {
2022-11-23T01:30:20.8557268Z             #pragma GCC ivdep
2022-11-23T01:30:20.8557350Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8557411Z             {
2022-11-23T01:30:20.8557463Z                 {
2022-11-23T01:30:20.8557529Z                     {
2022-11-23T01:30:20.8557634Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:30:20.8557736Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.8557827Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8557920Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8557987Z                     }
2022-11-23T01:30:20.8558039Z                 }
2022-11-23T01:30:20.8558100Z             }
2022-11-23T01:30:20.8558162Z         }
2022-11-23T01:30:20.8558223Z     }
2022-11-23T01:30:20.8558281Z }
2022-11-23T01:30:20.8558355Z ''')
2022-11-23T01:30:20.8558361Z 
2022-11-23T01:30:20.8558365Z 
2022-11-23T01:30:20.8558452Z async_compile.wait(globals())
2022-11-23T01:30:20.8558513Z del async_compile
2022-11-23T01:30:20.8558518Z 
2022-11-23T01:30:20.8558586Z def call(args):
2022-11-23T01:30:20.8558660Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8558730Z     args.clear()
2022-11-23T01:30:20.8558926Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8559090Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8559156Z     del arg0_1
2022-11-23T01:30:20.8559210Z     del arg1_1
2022-11-23T01:30:20.8559279Z     return (buf0, )
2022-11-23T01:30:20.8559284Z 
2022-11-23T01:30:20.8559324Z 
2022-11-23T01:30:20.8559401Z if __name__ == "__main__":
2022-11-23T01:30:20.8559515Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8559636Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8559834Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8560029Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8560141Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8560146Z 
2022-11-23T01:30:20.8560199Z ok (1.416s)
2022-11-23T01:30:20.8560544Z   test_cpu_transposed_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:13,777] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8560891Z [2022-11-23 01:30:13,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8561111Z [2022-11-23 01:30:13,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8561363Z [2022-11-23 01:30:13,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8561639Z [2022-11-23 01:30:13,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8561959Z [2022-11-23 01:30:13,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8562302Z [2022-11-23 01:30:13,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8562623Z [2022-11-23 01:30:13,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8563004Z [2022-11-23 01:30:13,778] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8563083Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8563171Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8563242Z               4 BINARY_ADD
2022-11-23T01:30:20.8563329Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8563403Z               8 RETURN_VALUE
2022-11-23T01:30:20.8563463Z  
2022-11-23T01:30:20.8563468Z 
2022-11-23T01:30:20.8563778Z [2022-11-23 01:30:13,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8563987Z [2022-11-23 01:30:13,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8564212Z [2022-11-23 01:30:13,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8564483Z [2022-11-23 01:30:13,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8564718Z [2022-11-23 01:30:13,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8564960Z [2022-11-23 01:30:13,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8565346Z [2022-11-23 01:30:13,779] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8565589Z [2022-11-23 01:30:13,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8565822Z [2022-11-23 01:30:13,779] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8566071Z [2022-11-23 01:30:13,780] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8566346Z [2022-11-23 01:30:13,783] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8566532Z [2022-11-23 01:30:13,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8566654Z  __compiled_fn_521 <eval_with_key>.3945 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8566741Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8566826Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8567004Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8567097Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8567102Z 
2022-11-23T01:30:20.8567453Z [2022-11-23 01:30:13,784] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8567545Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8567634Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8567710Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8567802Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8567887Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8567975Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8568049Z              12 RETURN_VALUE
2022-11-23T01:30:20.8568055Z 
2022-11-23T01:30:20.8568114Z  
2022-11-23T01:30:20.8568431Z [2022-11-23 01:30:13,784] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8568525Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_521)
2022-11-23T01:30:20.8568615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8568703Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8568778Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8568863Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8568948Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8569023Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8569097Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8569203Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8569305Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8569394Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8569470Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8569557Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8569633Z              26 RETURN_VALUE
2022-11-23T01:30:20.8569638Z 
2022-11-23T01:30:20.8569699Z  
2022-11-23T01:30:20.8569873Z [2022-11-23 01:30:13,784] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8569943Z  - 
2022-11-23T01:30:20.8570063Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8570129Z             {
2022-11-23T01:30:20.8570269Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8570460Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8570579Z                 'obj_weakref': None
2022-11-23T01:30:20.8570792Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8570862Z             }
2022-11-23T01:30:20.8570924Z             
2022-11-23T01:30:20.8570993Z  - 
2022-11-23T01:30:20.8571120Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8571184Z             {
2022-11-23T01:30:20.8571311Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8571419Z                 'code': None,
2022-11-23T01:30:20.8571631Z                 'obj_weakref': <weakref at 0x7ff57efcb970; to 'Tensor' at 0x7ff57ee83600>
2022-11-23T01:30:20.8571888Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8571954Z             }
2022-11-23T01:30:20.8572021Z             
2022-11-23T01:30:20.8572092Z  - 
2022-11-23T01:30:20.8572250Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8572302Z             {
2022-11-23T01:30:20.8572446Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8572556Z                 'code': None,
2022-11-23T01:30:20.8572771Z                 'obj_weakref': <weakref at 0x7ff57ee109a0; to 'Tensor' at 0x7ff57ee81c60>
2022-11-23T01:30:20.8573024Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8573089Z             }
2022-11-23T01:30:20.8573153Z             
2022-11-23T01:30:20.8573211Z  - 
2022-11-23T01:30:20.8573342Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8573433Z             {
2022-11-23T01:30:20.8573567Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8573739Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8573857Z                 'obj_weakref': None
2022-11-23T01:30:20.8574089Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8574139Z             }
2022-11-23T01:30:20.8574206Z             
2022-11-23T01:30:20.8574276Z  - 
2022-11-23T01:30:20.8574398Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8574460Z             {
2022-11-23T01:30:20.8574595Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8574814Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8574919Z                 'obj_weakref': None
2022-11-23T01:30:20.8575140Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8575208Z             }
2022-11-23T01:30:20.8575271Z             
2022-11-23T01:30:20.8575531Z [2022-11-23 01:30:13,789] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 513
2022-11-23T01:30:20.8575901Z [2022-11-23 01:30:15,179] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cui3we3kvbic2jmcfndfyxsdsu64baauxbdy7dipcnxl3mavkyqn.py
2022-11-23T01:30:20.8576163Z [2022-11-23 01:30:15,180] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 513
2022-11-23T01:30:20.8576169Z 
2022-11-23T01:30:20.8576259Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8576314Z import torch
2022-11-23T01:30:20.8576381Z import random
2022-11-23T01:30:20.8576616Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8576739Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8576744Z 
2022-11-23T01:30:20.8576823Z aten = torch.ops.aten
2022-11-23T01:30:20.8576956Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8577051Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8577056Z 
2022-11-23T01:30:20.8577061Z 
2022-11-23T01:30:20.8577194Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8577387Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8577505Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8577611Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:30:20.8577711Z                        double* __restrict__ out_ptr0)
2022-11-23T01:30:20.8577775Z {
2022-11-23T01:30:20.8577871Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8577932Z     {
2022-11-23T01:30:20.8577996Z         #pragma omp for 
2022-11-23T01:30:20.8578076Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8578137Z         {
2022-11-23T01:30:20.8578218Z             #pragma GCC ivdep
2022-11-23T01:30:20.8578304Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8578371Z             {
2022-11-23T01:30:20.8578423Z                 {
2022-11-23T01:30:20.8578491Z                     {
2022-11-23T01:30:20.8578592Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:30:20.8578691Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:30:20.8578863Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:30:20.8578957Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:30:20.8579050Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8579116Z                     }
2022-11-23T01:30:20.8579167Z                 }
2022-11-23T01:30:20.8579230Z             }
2022-11-23T01:30:20.8579293Z         }
2022-11-23T01:30:20.8579355Z     }
2022-11-23T01:30:20.8579414Z }
2022-11-23T01:30:20.8579491Z ''')
2022-11-23T01:30:20.8579496Z 
2022-11-23T01:30:20.8579500Z 
2022-11-23T01:30:20.8579588Z async_compile.wait(globals())
2022-11-23T01:30:20.8579647Z del async_compile
2022-11-23T01:30:20.8579687Z 
2022-11-23T01:30:20.8579758Z def call(args):
2022-11-23T01:30:20.8579835Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8579907Z     args.clear()
2022-11-23T01:30:20.8580107Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8580270Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8580337Z     del arg0_1
2022-11-23T01:30:20.8580391Z     del arg1_1
2022-11-23T01:30:20.8580460Z     return (buf0, )
2022-11-23T01:30:20.8580465Z 
2022-11-23T01:30:20.8580470Z 
2022-11-23T01:30:20.8580544Z if __name__ == "__main__":
2022-11-23T01:30:20.8580657Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8580777Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8580979Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8581172Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:30:20.8581288Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8581292Z 
2022-11-23T01:30:20.8581346Z ok (1.408s)
2022-11-23T01:30:20.8581688Z   test_cpu_transposed_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:15,185] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8582002Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8582219Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8582470Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8582744Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8583062Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8583409Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8583729Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8584109Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8584188Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8584278Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8584349Z               4 BINARY_ADD
2022-11-23T01:30:20.8584436Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8584511Z               8 RETURN_VALUE
2022-11-23T01:30:20.8584570Z  
2022-11-23T01:30:20.8584576Z 
2022-11-23T01:30:20.8584890Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8585125Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8585351Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8585622Z [2022-11-23 01:30:15,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8585859Z [2022-11-23 01:30:15,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8586102Z [2022-11-23 01:30:15,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8586484Z [2022-11-23 01:30:15,187] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8586757Z [2022-11-23 01:30:15,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8586989Z [2022-11-23 01:30:15,188] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8587240Z [2022-11-23 01:30:15,188] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8587485Z [2022-11-23 01:30:15,191] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8587659Z [2022-11-23 01:30:15,192] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8587796Z  __compiled_fn_522 <eval_with_key>.3951 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8587883Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8587971Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8588146Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8588239Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8588245Z 
2022-11-23T01:30:20.8588569Z [2022-11-23 01:30:15,192] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8588661Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8588739Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8588823Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8588914Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8588997Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8589083Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8589157Z              12 RETURN_VALUE
2022-11-23T01:30:20.8589162Z 
2022-11-23T01:30:20.8589220Z  
2022-11-23T01:30:20.8589541Z [2022-11-23 01:30:15,192] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8589638Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_522)
2022-11-23T01:30:20.8589727Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8589817Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8589896Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8589983Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8590068Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8590143Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8590216Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8590316Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8590415Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8590502Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8590579Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8590664Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8590737Z              26 RETURN_VALUE
2022-11-23T01:30:20.8590742Z 
2022-11-23T01:30:20.8590790Z  
2022-11-23T01:30:20.8590971Z [2022-11-23 01:30:15,193] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8591040Z  - 
2022-11-23T01:30:20.8591210Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8591277Z             {
2022-11-23T01:30:20.8591415Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8591602Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8591707Z                 'obj_weakref': None
2022-11-23T01:30:20.8591929Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8591992Z             }
2022-11-23T01:30:20.8592055Z             
2022-11-23T01:30:20.8592122Z  - 
2022-11-23T01:30:20.8592243Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8592332Z             {
2022-11-23T01:30:20.8592461Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8592566Z                 'code': None,
2022-11-23T01:30:20.8592775Z                 'obj_weakref': <weakref at 0x7ff58f91a0c0; to 'Tensor' at 0x7ff57efe4db0>
2022-11-23T01:30:20.8593028Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8593096Z             }
2022-11-23T01:30:20.8593158Z             
2022-11-23T01:30:20.8593228Z  - 
2022-11-23T01:30:20.8593338Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8593403Z             {
2022-11-23T01:30:20.8593545Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8593653Z                 'code': None,
2022-11-23T01:30:20.8593939Z                 'obj_weakref': <weakref at 0x7ff58f9b6480; to 'Tensor' at 0x7ff57efe4e50>
2022-11-23T01:30:20.8594194Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8594261Z             }
2022-11-23T01:30:20.8594323Z             
2022-11-23T01:30:20.8594380Z  - 
2022-11-23T01:30:20.8594510Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8594573Z             {
2022-11-23T01:30:20.8594706Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8594877Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8594995Z                 'obj_weakref': None
2022-11-23T01:30:20.8595222Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8595274Z             }
2022-11-23T01:30:20.8595334Z             
2022-11-23T01:30:20.8595403Z  - 
2022-11-23T01:30:20.8595525Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8595587Z             {
2022-11-23T01:30:20.8595721Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8595922Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8596041Z                 'obj_weakref': None
2022-11-23T01:30:20.8596262Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8596325Z             }
2022-11-23T01:30:20.8596388Z             
2022-11-23T01:30:20.8596647Z [2022-11-23 01:30:15,198] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 514
2022-11-23T01:30:20.8597013Z [2022-11-23 01:30:16,580] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q2/cq2sszhktz3vskvfy5mkqw5pwlw7xsujyyosjo5rfexxq23exlnl.py
2022-11-23T01:30:20.8597271Z [2022-11-23 01:30:16,581] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 514
2022-11-23T01:30:20.8597276Z 
2022-11-23T01:30:20.8597367Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8597423Z import torch
2022-11-23T01:30:20.8597490Z import random
2022-11-23T01:30:20.8597606Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8597726Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8597731Z 
2022-11-23T01:30:20.8597806Z aten = torch.ops.aten
2022-11-23T01:30:20.8597940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8598030Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8598035Z 
2022-11-23T01:30:20.8598071Z 
2022-11-23T01:30:20.8598192Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8598396Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8598511Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8598611Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:30:20.8598709Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8598769Z {
2022-11-23T01:30:20.8598865Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8598925Z     {
2022-11-23T01:30:20.8598989Z         #pragma omp for 
2022-11-23T01:30:20.8599096Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8599157Z         {
2022-11-23T01:30:20.8599236Z             #pragma GCC ivdep
2022-11-23T01:30:20.8599318Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8599380Z             {
2022-11-23T01:30:20.8599431Z                 {
2022-11-23T01:30:20.8599498Z                     {
2022-11-23T01:30:20.8599600Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:30:20.8599693Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.8599800Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:30:20.8599891Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:30:20.8599986Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:30:20.8600040Z                     }
2022-11-23T01:30:20.8600103Z                 }
2022-11-23T01:30:20.8600165Z             }
2022-11-23T01:30:20.8600226Z         }
2022-11-23T01:30:20.8600289Z     }
2022-11-23T01:30:20.8600348Z }
2022-11-23T01:30:20.8600428Z ''')
2022-11-23T01:30:20.8600433Z 
2022-11-23T01:30:20.8600437Z 
2022-11-23T01:30:20.8600513Z async_compile.wait(globals())
2022-11-23T01:30:20.8600582Z del async_compile
2022-11-23T01:30:20.8600587Z 
2022-11-23T01:30:20.8600656Z def call(args):
2022-11-23T01:30:20.8600732Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8600804Z     args.clear()
2022-11-23T01:30:20.8601006Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8601168Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8601234Z     del arg0_1
2022-11-23T01:30:20.8601287Z     del arg1_1
2022-11-23T01:30:20.8601355Z     return (buf0, )
2022-11-23T01:30:20.8601360Z 
2022-11-23T01:30:20.8601364Z 
2022-11-23T01:30:20.8601439Z if __name__ == "__main__":
2022-11-23T01:30:20.8601552Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8601674Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8601874Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8602062Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:30:20.8602163Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8602180Z 
2022-11-23T01:30:20.8602236Z ok (1.401s)
2022-11-23T01:30:20.8602585Z   test_cpu_transposed_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:16,587] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8602901Z [2022-11-23 01:30:16,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8603117Z [2022-11-23 01:30:16,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8603369Z [2022-11-23 01:30:16,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8603644Z [2022-11-23 01:30:16,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8603962Z [2022-11-23 01:30:16,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8604331Z [2022-11-23 01:30:16,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8604653Z [2022-11-23 01:30:16,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8605030Z [2022-11-23 01:30:16,588] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8605109Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8605234Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8605306Z               4 BINARY_ADD
2022-11-23T01:30:20.8605393Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8605467Z               8 RETURN_VALUE
2022-11-23T01:30:20.8605525Z  
2022-11-23T01:30:20.8605531Z 
2022-11-23T01:30:20.8605848Z [2022-11-23 01:30:16,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8606043Z [2022-11-23 01:30:16,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8606279Z [2022-11-23 01:30:16,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8606548Z [2022-11-23 01:30:16,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8606788Z [2022-11-23 01:30:16,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8607034Z [2022-11-23 01:30:16,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8607422Z [2022-11-23 01:30:16,589] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8607662Z [2022-11-23 01:30:16,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8607896Z [2022-11-23 01:30:16,589] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8608146Z [2022-11-23 01:30:16,590] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8608394Z [2022-11-23 01:30:16,593] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8608569Z [2022-11-23 01:30:16,593] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8608707Z  __compiled_fn_523 <eval_with_key>.3957 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8608797Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8608884Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8609063Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8609161Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8609167Z 
2022-11-23T01:30:20.8609489Z [2022-11-23 01:30:16,594] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8609583Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8609661Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8609748Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8609841Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8609925Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8610016Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8610093Z              12 RETURN_VALUE
2022-11-23T01:30:20.8610098Z 
2022-11-23T01:30:20.8610159Z  
2022-11-23T01:30:20.8610464Z [2022-11-23 01:30:16,594] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8610599Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_523)
2022-11-23T01:30:20.8610691Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8610781Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8610861Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8610950Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8611039Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8611115Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8611188Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8611291Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8611433Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8611523Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8611599Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8611686Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8611761Z              26 RETURN_VALUE
2022-11-23T01:30:20.8611768Z 
2022-11-23T01:30:20.8611817Z  
2022-11-23T01:30:20.8612002Z [2022-11-23 01:30:16,595] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8612073Z  - 
2022-11-23T01:30:20.8612194Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8612263Z             {
2022-11-23T01:30:20.8612403Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8612590Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8612696Z                 'obj_weakref': None
2022-11-23T01:30:20.8612922Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8612990Z             }
2022-11-23T01:30:20.8613054Z             
2022-11-23T01:30:20.8613123Z  - 
2022-11-23T01:30:20.8613247Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8613309Z             {
2022-11-23T01:30:20.8613438Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8613546Z                 'code': None,
2022-11-23T01:30:20.8613759Z                 'obj_weakref': <weakref at 0x7ff58ff17830; to 'Tensor' at 0x7ff57efee840>
2022-11-23T01:30:20.8614013Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8614079Z             }
2022-11-23T01:30:20.8614144Z             
2022-11-23T01:30:20.8614214Z  - 
2022-11-23T01:30:20.8614325Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8614388Z             {
2022-11-23T01:30:20.8614531Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8614640Z                 'code': None,
2022-11-23T01:30:20.8614852Z                 'obj_weakref': <weakref at 0x7ff57f8b1ee0; to 'Tensor' at 0x7ff59c0ee5c0>
2022-11-23T01:30:20.8615101Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8615163Z             }
2022-11-23T01:30:20.8615213Z             
2022-11-23T01:30:20.8615284Z  - 
2022-11-23T01:30:20.8615414Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8615476Z             {
2022-11-23T01:30:20.8615608Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8615776Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8615892Z                 'obj_weakref': None
2022-11-23T01:30:20.8616109Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8616171Z             }
2022-11-23T01:30:20.8616232Z             
2022-11-23T01:30:20.8616300Z  - 
2022-11-23T01:30:20.8616543Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8616607Z             {
2022-11-23T01:30:20.8616743Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8616946Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8617062Z                 'obj_weakref': None
2022-11-23T01:30:20.8617337Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8617401Z             }
2022-11-23T01:30:20.8617463Z             
2022-11-23T01:30:20.8617725Z [2022-11-23 01:30:16,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 515
2022-11-23T01:30:20.8618098Z [2022-11-23 01:30:17,986] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/by/cbyijpuq7yr3ucdvzxdylskww5fp4t44pj7nb6u2aizgdkjtb435.py
2022-11-23T01:30:20.8618364Z [2022-11-23 01:30:17,986] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 515
2022-11-23T01:30:20.8618409Z 
2022-11-23T01:30:20.8618491Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8618560Z import torch
2022-11-23T01:30:20.8618629Z import random
2022-11-23T01:30:20.8618744Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8618866Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8618872Z 
2022-11-23T01:30:20.8618950Z aten = torch.ops.aten
2022-11-23T01:30:20.8619084Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8619176Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8619181Z 
2022-11-23T01:30:20.8619186Z 
2022-11-23T01:30:20.8619306Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8619512Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8619628Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8619731Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8619830Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8619892Z {
2022-11-23T01:30:20.8619987Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8620036Z     {
2022-11-23T01:30:20.8620117Z         #pragma omp for 
2022-11-23T01:30:20.8620198Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:30:20.8620259Z         {
2022-11-23T01:30:20.8620339Z             #pragma GCC ivdep
2022-11-23T01:30:20.8620422Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:30:20.8620484Z             {
2022-11-23T01:30:20.8620536Z                 {
2022-11-23T01:30:20.8620602Z                     {
2022-11-23T01:30:20.8620703Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:30:20.8620805Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:30:20.8620900Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8620993Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:30:20.8621057Z                     }
2022-11-23T01:30:20.8621111Z                 }
2022-11-23T01:30:20.8621174Z             }
2022-11-23T01:30:20.8621235Z         }
2022-11-23T01:30:20.8621297Z     }
2022-11-23T01:30:20.8621354Z }
2022-11-23T01:30:20.8621432Z ''')
2022-11-23T01:30:20.8621437Z 
2022-11-23T01:30:20.8621441Z 
2022-11-23T01:30:20.8621530Z async_compile.wait(globals())
2022-11-23T01:30:20.8621588Z del async_compile
2022-11-23T01:30:20.8621594Z 
2022-11-23T01:30:20.8621663Z def call(args):
2022-11-23T01:30:20.8621738Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8621808Z     args.clear()
2022-11-23T01:30:20.8622006Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8622170Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8622238Z     del arg0_1
2022-11-23T01:30:20.8622292Z     del arg1_1
2022-11-23T01:30:20.8622362Z     return (buf0, )
2022-11-23T01:30:20.8622367Z 
2022-11-23T01:30:20.8622371Z 
2022-11-23T01:30:20.8622449Z if __name__ == "__main__":
2022-11-23T01:30:20.8622562Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8622683Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8622882Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8623117Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8623232Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8623237Z 
2022-11-23T01:30:20.8623290Z ok (1.406s)
2022-11-23T01:30:20.8623643Z   test_cpu_transposed_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:17,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:30:20.8623957Z [2022-11-23 01:30:17,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:297
2022-11-23T01:30:20.8624173Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:30:20.8624450Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:30:20.8624723Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:30:20.8625041Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8625388Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8625710Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:30:20.8626089Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454> 
2022-11-23T01:30:20.8626182Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:30:20.8626260Z               2 LOAD_FAST                1 (b)
2022-11-23T01:30:20.8626332Z               4 BINARY_ADD
2022-11-23T01:30:20.8626420Z               6 BUILD_TUPLE              1
2022-11-23T01:30:20.8626497Z               8 RETURN_VALUE
2022-11-23T01:30:20.8626557Z  
2022-11-23T01:30:20.8626563Z 
2022-11-23T01:30:20.8626871Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:456
2022-11-23T01:30:20.8627077Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:30:20.8627301Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:30:20.8627571Z [2022-11-23 01:30:17,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:30:20.8627810Z [2022-11-23 01:30:17,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:30:20.8628053Z [2022-11-23 01:30:17,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8628438Z [2022-11-23 01:30:17,994] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7ff64d1dfcb0, file "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 454>
2022-11-23T01:30:20.8628680Z [2022-11-23 01:30:17,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:30:20.8628911Z [2022-11-23 01:30:17,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:30:20.8629164Z [2022-11-23 01:30:17,995] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:30:20.8629406Z [2022-11-23 01:30:17,999] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:30:20.8629596Z [2022-11-23 01:30:17,999] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:30:20.8629717Z  __compiled_fn_524 <eval_with_key>.3963 opcode, name, target, args, kwargs
2022-11-23T01:30:20.8629804Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:30:20.8629918Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:30:20.8630096Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:30:20.8630191Z output, output, output, ((add,),), {}
2022-11-23T01:30:20.8630197Z 
2022-11-23T01:30:20.8630519Z [2022-11-23 01:30:17,999] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8630612Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:30:20.8630700Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8630774Z               4 BUILD_MAP                0
2022-11-23T01:30:20.8630895Z               6 LOAD_FAST                1 (kwargs)
2022-11-23T01:30:20.8630979Z               8 DICT_MERGE               1
2022-11-23T01:30:20.8631066Z              10 CALL_FUNCTION_EX         1
2022-11-23T01:30:20.8631140Z              12 RETURN_VALUE
2022-11-23T01:30:20.8631145Z 
2022-11-23T01:30:20.8631205Z  
2022-11-23T01:30:20.8631526Z [2022-11-23 01:30:17,999] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py line 296 
2022-11-23T01:30:20.8631622Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_524)
2022-11-23T01:30:20.8631712Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8631799Z               4 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8631875Z               6 BINARY_SUBSCR
2022-11-23T01:30:20.8631961Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:30:20.8632046Z              10 LOAD_CONST               2 (1)
2022-11-23T01:30:20.8632119Z              12 BINARY_SUBSCR
2022-11-23T01:30:20.8632207Z              14 CALL_FUNCTION            2
2022-11-23T01:30:20.8632298Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:30:20.8632397Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:30:20.8632484Z              20 LOAD_CONST               1 (0)
2022-11-23T01:30:20.8632561Z              22 BINARY_SUBSCR
2022-11-23T01:30:20.8632646Z              24 BUILD_TUPLE              1
2022-11-23T01:30:20.8632720Z              26 RETURN_VALUE
2022-11-23T01:30:20.8632725Z 
2022-11-23T01:30:20.8632786Z  
2022-11-23T01:30:20.8632954Z [2022-11-23 01:30:18,000] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:30:20.8633022Z  - 
2022-11-23T01:30:20.8633139Z             local 'ex' LIST_LENGTH
2022-11-23T01:30:20.8633202Z             {
2022-11-23T01:30:20.8633339Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:30:20.8633523Z                 'code': ['___check_type_id(ex, 94571819073152)', 'len(ex) == 2'],
2022-11-23T01:30:20.8633643Z                 'obj_weakref': None
2022-11-23T01:30:20.8633924Z                 'guarded_class': <weakref at 0x7ff64e21f7e0; to 'type' at 0x560337ae7e80 (tuple)>
2022-11-23T01:30:20.8633990Z             }
2022-11-23T01:30:20.8634055Z             
2022-11-23T01:30:20.8634125Z  - 
2022-11-23T01:30:20.8634248Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:30:20.8634315Z             {
2022-11-23T01:30:20.8634458Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8634552Z                 'code': None,
2022-11-23T01:30:20.8634765Z                 'obj_weakref': <weakref at 0x7ff57f947f10; to 'Tensor' at 0x7ff5a80736a0>
2022-11-23T01:30:20.8635018Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8635082Z             }
2022-11-23T01:30:20.8635145Z             
2022-11-23T01:30:20.8635213Z  - 
2022-11-23T01:30:20.8635335Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:30:20.8635387Z             {
2022-11-23T01:30:20.8635529Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:30:20.8635637Z                 'code': None,
2022-11-23T01:30:20.8635846Z                 'obj_weakref': <weakref at 0x7ff57f8e36f0; to 'Tensor' at 0x7ff58f91ca40>
2022-11-23T01:30:20.8636132Z                 'guarded_class': <weakref at 0x7ff5af4c13a0; to 'torch._C._TensorMeta' at 0x56033bffe960 (Tensor)>
2022-11-23T01:30:20.8636198Z             }
2022-11-23T01:30:20.8636260Z             
2022-11-23T01:30:20.8636316Z  - 
2022-11-23T01:30:20.8636445Z             local 'model' FUNCTION_MATCH
2022-11-23T01:30:20.8636507Z             {
2022-11-23T01:30:20.8636638Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:30:20.8636804Z                 'code': ['___check_obj_id(model, 140695492399104)'],
2022-11-23T01:30:20.8636919Z                 'obj_weakref': None
2022-11-23T01:30:20.8637144Z                 'guarded_class': <weakref at 0x7ff64e20c3b0; to 'type' at 0x560337aca3c0 (function)>
2022-11-23T01:30:20.8637224Z             }
2022-11-23T01:30:20.8637285Z             
2022-11-23T01:30:20.8637352Z  - 
2022-11-23T01:30:20.8637472Z             local 'kwargs' DICT_KEYS
2022-11-23T01:30:20.8637534Z             {
2022-11-23T01:30:20.8637666Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:30:20.8637883Z                 'code': ['___check_type_id(kwargs, 94571819093728)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:30:20.8637988Z                 'obj_weakref': None
2022-11-23T01:30:20.8638204Z                 'guarded_class': <weakref at 0x7ff64e2022f0; to 'type' at 0x560337aecee0 (dict)>
2022-11-23T01:30:20.8638267Z             }
2022-11-23T01:30:20.8638331Z             
2022-11-23T01:30:20.8638591Z [2022-11-23 01:30:18,005] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 516
2022-11-23T01:30:20.8638961Z [2022-11-23 01:30:18,013] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z7/cz7eildisvifghcfgvlmem6hwf3nlekyn3iz2xxgz2poqpjswazb.py
2022-11-23T01:30:20.8639227Z [2022-11-23 01:30:18,013] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 516
2022-11-23T01:30:20.8639232Z 
2022-11-23T01:30:20.8639326Z from ctypes import c_void_p, c_long
2022-11-23T01:30:20.8639382Z import torch
2022-11-23T01:30:20.8639450Z import random
2022-11-23T01:30:20.8639564Z from torch import empty_strided, as_strided, device
2022-11-23T01:30:20.8639684Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:30:20.8639689Z 
2022-11-23T01:30:20.8639765Z aten = torch.ops.aten
2022-11-23T01:30:20.8639898Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:30:20.8639987Z async_compile = AsyncCompile()
2022-11-23T01:30:20.8639993Z 
2022-11-23T01:30:20.8639997Z 
2022-11-23T01:30:20.8640127Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:30:20.8640319Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:30:20.8640438Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:30:20.8640543Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:30:20.8640642Z                        float* __restrict__ out_ptr0)
2022-11-23T01:30:20.8640703Z {
2022-11-23T01:30:20.8640799Z     #pragma omp parallel num_threads(4)
2022-11-23T01:30:20.8640860Z     {
2022-11-23T01:30:20.8640926Z         #pragma omp for 
2022-11-23T01:30:20.8641008Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:30:20.8641070Z         {
2022-11-23T01:30:20.8641220Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 8*i0);
2022-11-23T01:30:20.8641348Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 8*i0);
2022-11-23T01:30:20.8641432Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8641523Z             tmp2.store(out_ptr0 + 8*i0);
2022-11-23T01:30:20.8641573Z         }
2022-11-23T01:30:20.8641668Z         #pragma omp for simd simdlen(4) 
2022-11-23T01:30:20.8641750Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:30:20.8641813Z         {
2022-11-23T01:30:20.8641895Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:30:20.8641976Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:30:20.8642057Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:30:20.8642123Z             out_ptr0[i0] = tmp2;
2022-11-23T01:30:20.8642183Z         }
2022-11-23T01:30:20.8642243Z     }
2022-11-23T01:30:20.8642330Z }
2022-11-23T01:30:20.8642407Z ''')
2022-11-23T01:30:20.8642413Z 
2022-11-23T01:30:20.8642417Z 
2022-11-23T01:30:20.8642506Z async_compile.wait(globals())
2022-11-23T01:30:20.8642576Z del async_compile
2022-11-23T01:30:20.8642581Z 
2022-11-23T01:30:20.8642638Z def call(args):
2022-11-23T01:30:20.8642713Z     arg0_1, arg1_1 = args
2022-11-23T01:30:20.8642782Z     args.clear()
2022-11-23T01:30:20.8642981Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8643142Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:30:20.8643237Z     del arg0_1
2022-11-23T01:30:20.8643301Z     del arg1_1
2022-11-23T01:30:20.8643359Z     return (buf0, )
2022-11-23T01:30:20.8643375Z 
2022-11-23T01:30:20.8643379Z 
2022-11-23T01:30:20.8643441Z if __name__ == "__main__":
2022-11-23T01:30:20.8643553Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:30:20.8643675Z     from torch._inductor.utils import print_performance
2022-11-23T01:30:20.8643874Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8644068Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:30:20.8644180Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:30:20.8644185Z 
2022-11-23T01:30:20.8644249Z ok (0.027s)
2022-11-23T01:30:20.8644383Z   test_indexing_join (__main__.TestIndexingSimplification) ... ok (0.066s)
2022-11-23T01:30:20.8644544Z   test_indexing_simplification (__main__.TestIndexingSimplification) ... ok (0.063s)
2022-11-23T01:30:20.8644551Z 
2022-11-23T01:30:20.8644747Z ----------------------------------------------------------------------
2022-11-23T01:30:20.8644824Z Ran 341 tests in 522.516s
2022-11-23T01:30:20.8644829Z 
2022-11-23T01:30:20.8644900Z OK (skipped=16)
2022-11-23T01:30:20.8644904Z 
2022-11-23T01:30:20.8644987Z Generating XML reports...
2022-11-23T01:30:20.8645299Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123012135.xml
2022-11-23T01:30:20.8645589Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123012135.xml
2022-11-23T01:30:20.8645908Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123012135.xml
2022-11-23T01:30:20.8646235Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123012135.xml
2022-11-23T01:30:20.8646258Z 
2022-11-23T01:30:20.8646589Z ##[endgroup]
2022-11-23T01:30:20.8646921Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_h8vzjf07)
2022-11-23T01:30:20.8646927Z 
2022-11-23T01:30:21.2694901Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:21.3470119Z Ignoring disabled issues:  []
2022-11-23T01:30:21.3632371Z Running test_jit_llga_fuser ... [2022-11-23 01:30:21.362934]
2022-11-23T01:30:21.3634867Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_llga_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:21.363183]
2022-11-23T01:30:24.0259061Z 
2022-11-23T01:30:24.0261065Z Expand the folded group to see the log file of test_jit_llga_fuser
2022-11-23T01:30:24.0264329Z ##[group]PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser_ilwnwndi)
2022-11-23T01:30:24.0264904Z 
2022-11-23T01:30:24.0265074Z Running tests...
2022-11-23T01:30:24.0265906Z ----------------------------------------------------------------------
2022-11-23T01:30:24.0267066Z   test_dynamo_aot_ts_onednn (__main__.TestDynamoAOT) ... Test results will be stored in test-reports/python-unittest/test_jit_llga_fuser
2022-11-23T01:30:24.0267959Z skip: Enable when integration with dynamo aot_autograd is more stable (0.001s)
2022-11-23T01:30:24.0268964Z   test_context_manager (__main__.TestEnableDisableLlgaFuser) ... ok (0.065s)
2022-11-23T01:30:24.0337507Z   test_vision_alexnet_bfloat16 (__main__.TestModel) ... ok (0.013s)
2022-11-23T01:30:24.0338229Z   test_vision_alexnet_float32 (__main__.TestModel) ... ok (0.009s)
2022-11-23T01:30:24.0338896Z   test_vision_densenet121_bfloat16 (__main__.TestModel) ... ok (0.008s)
2022-11-23T01:30:24.0339542Z   test_vision_densenet121_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0340168Z   test_vision_densenet161_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0340814Z   test_vision_densenet161_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0341656Z   test_vision_densenet169_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0342282Z   test_vision_densenet169_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0342925Z   test_vision_densenet201_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0343535Z   test_vision_densenet201_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0344161Z   test_vision_efficientnet_b0_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0344785Z   test_vision_efficientnet_b0_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0345419Z   test_vision_efficientnet_b1_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0346054Z   test_vision_efficientnet_b1_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0346719Z   test_vision_efficientnet_b2_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0347421Z   test_vision_efficientnet_b2_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0348123Z   test_vision_efficientnet_b3_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0348825Z   test_vision_efficientnet_b3_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0349506Z   test_vision_efficientnet_b4_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0350193Z   test_vision_efficientnet_b4_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0350857Z   test_vision_efficientnet_b5_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0351534Z   test_vision_efficientnet_b5_float32 (__main__.TestModel) ... ok (0.008s)
2022-11-23T01:30:24.0352201Z   test_vision_efficientnet_b6_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0352847Z   test_vision_efficientnet_b6_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0353206Z   test_vision_efficientnet_b7_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0353551Z   test_vision_efficientnet_b7_float32 (__main__.TestModel) ... ok (0.008s)
2022-11-23T01:30:24.0354077Z   test_vision_googlenet_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0354466Z   test_vision_googlenet_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0354840Z   test_vision_mnasnet1_0_bfloat16 (__main__.TestModel) ... ok (0.008s)
2022-11-23T01:30:24.0355214Z   test_vision_mnasnet1_0_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0355610Z   test_vision_mobilenet_v2_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0356019Z   test_vision_mobilenet_v2_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0356404Z   test_vision_mobilenet_v3_large_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0356824Z   test_vision_mobilenet_v3_large_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0357234Z   test_vision_regnet_y_400mf_bfloat16 (__main__.TestModel) ... ok (0.008s)
2022-11-23T01:30:24.0357612Z   test_vision_regnet_y_400mf_float32 (__main__.TestModel) ... ok (0.008s)
2022-11-23T01:30:24.0358015Z   test_vision_resnet50_bfloat16 (__main__.TestModel) ... ok (0.008s)
2022-11-23T01:30:24.0358393Z   test_vision_resnet50_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0358795Z   test_vision_resnext101_32x8d_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0359306Z   test_vision_resnext101_32x8d_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0359717Z   test_vision_resnext50_32x4d_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0360108Z   test_vision_resnext50_32x4d_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0360497Z   test_vision_shufflenet_v2_x1_0_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0360920Z   test_vision_shufflenet_v2_x1_0_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0361309Z   test_vision_squeezenet1_0_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0361720Z   test_vision_squeezenet1_0_float32 (__main__.TestModel) ... ok (0.014s)
2022-11-23T01:30:24.0362191Z   test_vision_vgg16_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0362558Z   test_vision_vgg16_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0362947Z   test_vision_wide_resnet50_2_bfloat16 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0363330Z   test_vision_wide_resnet50_2_float32 (__main__.TestModel) ... ok (0.007s)
2022-11-23T01:30:24.0363564Z 
2022-11-23T01:30:24.0363945Z ----------------------------------------------------------------------
2022-11-23T01:30:24.0364275Z Ran 52 tests in 0.446s
2022-11-23T01:30:24.0364444Z 
2022-11-23T01:30:24.0364552Z OK (skipped=1)
2022-11-23T01:30:24.0364687Z 
2022-11-23T01:30:24.0364808Z Generating XML reports...
2022-11-23T01:30:24.0365458Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestEnableDisableLlgaFuser-20221123013023.xml
2022-11-23T01:30:24.0366207Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestModel-20221123013023.xml
2022-11-23T01:30:24.0366946Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestDynamoAOT-20221123013023.xml
2022-11-23T01:30:24.0367269Z 
2022-11-23T01:30:24.0367755Z ##[endgroup]
2022-11-23T01:30:24.0368316Z FINISHED PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser_ilwnwndi)
2022-11-23T01:30:24.0368638Z 
2022-11-23T01:30:25.9501738Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:26.0271229Z Ignoring disabled issues:  []
2022-11-23T01:30:26.0435319Z Running test_jiterator ... [2022-11-23 01:30:26.043243]
2022-11-23T01:30:26.0437398Z Executing ['/opt/conda/bin/python', '-bb', 'test_jiterator.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:26.043515]
2022-11-23T01:30:28.0777868Z 
2022-11-23T01:30:28.0778420Z Expand the folded group to see the log file of test_jiterator
2022-11-23T01:30:28.0779588Z ##[group]PRINTING LOG FILE of test_jiterator (/var/lib/jenkins/workspace/test/test-reports/test_jiterator_1lormzfv)
2022-11-23T01:30:28.0780136Z CUDA not available, skipping tests
2022-11-23T01:30:28.0791722Z 
2022-11-23T01:30:28.0791925Z Running tests...
2022-11-23T01:30:28.0792492Z ----------------------------------------------------------------------
2022-11-23T01:30:28.0792793Z 
2022-11-23T01:30:28.0793129Z ----------------------------------------------------------------------
2022-11-23T01:30:28.0793495Z Ran 0 tests in 0.000s
2022-11-23T01:30:28.0793681Z 
2022-11-23T01:30:28.0793882Z OK
2022-11-23T01:30:28.0794025Z 
2022-11-23T01:30:28.0794171Z Generating XML reports...
2022-11-23T01:30:28.0794779Z Test results will be stored in test-reports/python-unittest/test_jiterator
2022-11-23T01:30:28.0795091Z 
2022-11-23T01:30:28.0795508Z ##[endgroup]
2022-11-23T01:30:28.0796180Z FINISHED PRINTING LOG FILE of test_jiterator (/var/lib/jenkins/workspace/test/test-reports/test_jiterator_1lormzfv)
2022-11-23T01:30:28.0796531Z 
2022-11-23T01:30:30.0244402Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:30.1032508Z Ignoring disabled issues:  []
2022-11-23T01:30:30.1196889Z Running test_license ... [2022-11-23 01:30:30.119353]
2022-11-23T01:30:30.1198427Z Executing ['/opt/conda/bin/python', '-bb', 'test_license.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:30.119623]
2022-11-23T01:30:32.0571911Z 
2022-11-23T01:30:32.0572487Z Expand the folded group to see the log file of test_license
2022-11-23T01:30:32.0573381Z ##[group]PRINTING LOG FILE of test_license (/var/lib/jenkins/workspace/test/test-reports/test_license_2rxm_cz3)
2022-11-23T01:30:32.0573624Z 
2022-11-23T01:30:32.0573701Z Running tests...
2022-11-23T01:30:32.0574160Z ----------------------------------------------------------------------
2022-11-23T01:30:32.0574540Z Test results will be stored in test-reports/python-unittest/test_license
2022-11-23T01:30:32.0574860Z   test_distinfo_license (__main__.TestLicense)
2022-11-23T01:30:32.0575144Z If run when pytorch is installed via a wheel, the license will be in ... ok (0.239s)
2022-11-23T01:30:32.0575622Z   test_license_for_wheel (__main__.TestLicense) ... skip: can only be run in a source tree (0.000s)
2022-11-23T01:30:32.0575812Z 
2022-11-23T01:30:32.0575999Z ----------------------------------------------------------------------
2022-11-23T01:30:32.0576275Z Ran 2 tests in 0.240s
2022-11-23T01:30:32.0576399Z 
2022-11-23T01:30:32.0576658Z OK (skipped=1)
2022-11-23T01:30:32.0576811Z 
2022-11-23T01:30:32.0576928Z Generating XML reports...
2022-11-23T01:30:32.0577439Z Generated XML report: test-reports/python-unittest/test_license/TEST-TestLicense-20221123013031.xml
2022-11-23T01:30:32.0577659Z 
2022-11-23T01:30:32.0577894Z ##[endgroup]
2022-11-23T01:30:32.0578304Z FINISHED PRINTING LOG FILE of test_license (/var/lib/jenkins/workspace/test/test-reports/test_license_2rxm_cz3)
2022-11-23T01:30:32.0578515Z 
2022-11-23T01:30:32.7134746Z 
2022-11-23T01:30:32.7135248Z Expand the folded group to see the log file of test_jit_fuser_te
2022-11-23T01:30:32.7136335Z ##[group]PRINTING LOG FILE of test_jit_fuser_te (/var/lib/jenkins/workspace/test/test-reports/test_jit_fuser_te_9k9kxktd)
2022-11-23T01:30:32.7137282Z CUDA not available, skipping tests
2022-11-23T01:30:32.7137521Z 
2022-11-23T01:30:32.7137651Z Running tests...
2022-11-23T01:30:32.7138349Z ----------------------------------------------------------------------
2022-11-23T01:30:32.7138917Z Test results will be stored in test-reports/python-unittest/test_jit_fuser_te
2022-11-23T01:30:32.7139246Z   test_autodiff_fallback (jit.test_fuser_common.TestFuserCommon) ... ok (0.112s)
2022-11-23T01:30:32.7139538Z   test_abs (__main__.TestTEFuserDynamic) ... ok (0.282s)
2022-11-23T01:30:32.7139820Z   test_adaptive_avg_pool2d (__main__.TestTEFuserDynamic) ... ok (0.064s)
2022-11-23T01:30:32.7140092Z   test_add_bool (__main__.TestTEFuserDynamic) ... ok (0.292s)
2022-11-23T01:30:32.7140358Z   test_addcmul (__main__.TestTEFuserDynamic) ... ok (0.091s)
2022-11-23T01:30:32.7140683Z   test_arg_configurations_smoke (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s)
2022-11-23T01:30:32.7141141Z   test_autocast_down (__main__.TestTEFuserDynamic) ... skip: half-precision NNC fusion requires CUDA (0.000s)
2022-11-23T01:30:32.7141601Z   test_autocast_up (__main__.TestTEFuserDynamic) ... skip: half-precision NNC fusion requires CUDA (0.000s)
2022-11-23T01:30:32.7141925Z   test_batch_norm (__main__.TestTEFuserDynamic) ... ok (0.680s)
2022-11-23T01:30:32.7142204Z   test_binary_div_ops (__main__.TestTEFuserDynamic) ... ok (2.534s)
2022-11-23T01:30:32.7142467Z   test_binary_ops (__main__.TestTEFuserDynamic) ... ok (8.846s)
2022-11-23T01:30:32.7142739Z   test_binary_pow (__main__.TestTEFuserDynamic) ... ok (0.823s)
2022-11-23T01:30:32.7143023Z   test_binary_scalar_ops (__main__.TestTEFuserDynamic) ... ok (1.045s)
2022-11-23T01:30:32.7143379Z   test_binary_tensor_scalar_ops (__main__.TestTEFuserDynamic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:30:32.7143725Z   test_bitwise_ops (__main__.TestTEFuserDynamic) ... ok (1.936s)
2022-11-23T01:30:32.7144000Z   test_broadcast (__main__.TestTEFuserDynamic) ... ok (0.237s)
2022-11-23T01:30:32.7144267Z   test_cat_2k_args (__main__.TestTEFuserDynamic) ... ok (0.710s)
2022-11-23T01:30:32.7144528Z   test_cat_graph_opt (__main__.TestTEFuserDynamic) ... ok (0.774s)
2022-11-23T01:30:32.7145016Z   test_channels_last_dims_dynamic (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7145342Z   test_checks_cat_inputs (__main__.TestTEFuserDynamic) ... ok (0.462s)
2022-11-23T01:30:32.7145638Z   test_chunk (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s)
2022-11-23T01:30:32.7145982Z   test_chunk_correctness (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s)
2022-11-23T01:30:32.7146337Z   test_chunk_distributes (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s)
2022-11-23T01:30:32.7146767Z   test_chunk_motion_deduplicates_inputs (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s)
2022-11-23T01:30:32.7147116Z   test_chunk_mul_one (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s)
2022-11-23T01:30:32.7147456Z   test_chunk_multiple (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s)
2022-11-23T01:30:32.7147759Z   test_clamp (__main__.TestTEFuserDynamic) ... ok (3.607s)
2022-11-23T01:30:32.7148016Z   test_clamp_double (__main__.TestTEFuserDynamic) ... ok (0.143s)
2022-11-23T01:30:32.7148286Z   test_clamp_int (__main__.TestTEFuserDynamic) ... ok (0.136s)
2022-11-23T01:30:32.7148565Z   test_comparison_eq_ne (__main__.TestTEFuserDynamic) ... ok (0.294s)
2022-11-23T01:30:32.7148850Z   test_comparison_ge_le (__main__.TestTEFuserDynamic) ... ok (0.293s)
2022-11-23T01:30:32.7149119Z   test_comparison_gt_lt (__main__.TestTEFuserDynamic) ... ok (0.291s)
2022-11-23T01:30:32.7149394Z   test_concat (__main__.TestTEFuserDynamic) ... ok (0.569s)
2022-11-23T01:30:32.7149670Z   test_concat_invariant (__main__.TestTEFuserDynamic) ... ok (0.779s)
2022-11-23T01:30:32.7149980Z   test_constant_chunk_shapes (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s)
2022-11-23T01:30:32.7150412Z   test_conv2d (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s)
2022-11-23T01:30:32.7150849Z   test_conv2d_depthwise (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s)
2022-11-23T01:30:32.7151193Z   test_cuda_half (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7151469Z   test_dims (__main__.TestTEFuserDynamic) ... ok (0.129s)
2022-11-23T01:30:32.7151731Z   test_disabled (__main__.TestTEFuserDynamic) ... ok (0.006s)
2022-11-23T01:30:32.7151996Z   test_div_bool (__main__.TestTEFuserDynamic) ... ok (0.137s)
2022-11-23T01:30:32.7152253Z   test_dynamic_cat (__main__.TestTEFuserDynamic) ... ok (0.009s)
2022-11-23T01:30:32.7152530Z   test_dynamic_shapes (__main__.TestTEFuserDynamic) ... ok (2.072s)
2022-11-23T01:30:32.7152816Z   test_eq_unsqueeze_type_as (__main__.TestTEFuserDynamic) ... ok (0.308s)
2022-11-23T01:30:32.7153088Z   test_erf (__main__.TestTEFuserDynamic) ... ok (0.001s)
2022-11-23T01:30:32.7153355Z   test_exhaust_specializations (__main__.TestTEFuserDynamic) ... ok (0.029s)
2022-11-23T01:30:32.7153635Z   test_exp (__main__.TestTEFuserDynamic) ... ok (0.093s)
2022-11-23T01:30:32.7154043Z   test_fusion_reuse_multi_gpu (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7154331Z   test_gelu (__main__.TestTEFuserDynamic) ... ok (0.002s)
2022-11-23T01:30:32.7154608Z   test_hardsigmoid_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.270s)
2022-11-23T01:30:32.7154900Z   test_hardswish_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.296s)
2022-11-23T01:30:32.7155184Z   test_inlined_optimized_graph (__main__.TestTEFuserDynamic) ... ok (0.421s)
2022-11-23T01:30:32.7155467Z   test_isnan (__main__.TestTEFuserDynamic) ... ok (0.668s)
2022-11-23T01:30:32.7155776Z   test_kernel_cache_multi_gpu (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7156080Z   test_lerp (__main__.TestTEFuserDynamic) ... ok (0.342s)
2022-11-23T01:30:32.7156577Z   test_list_ops (__main__.TestTEFuserDynamic) ... skip: FIXME: fuser doesn't include ListConstruct nodes to the group causing a failure (0.001s)
2022-11-23T01:30:32.7156926Z   test_lstm (__main__.TestTEFuserDynamic) ... ok (0.779s)
2022-11-23T01:30:32.7157192Z   test_lstm_concat (__main__.TestTEFuserDynamic) ... ok (0.248s)
2022-11-23T01:30:32.7157468Z   test_lstm_gates_permutations (__main__.TestTEFuserDynamic) ... ok (10.699s)
2022-11-23T01:30:32.7157758Z   test_lstm_traced (__main__.TestTEFuserDynamic) ... ok (0.439s)
2022-11-23T01:30:32.7158060Z   test_masked_fill (__main__.TestTEFuserDynamic) ... skip: Temporarily disabled (0.001s)
2022-11-23T01:30:32.7158480Z   test_matmul (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.002s)
2022-11-23T01:30:32.7158918Z   test_milstm (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s)
2022-11-23T01:30:32.7159217Z   test_minmax (__main__.TestTEFuserDynamic) ... ok (1.166s)
2022-11-23T01:30:32.7159489Z   test_minmax_int_ops (__main__.TestTEFuserDynamic) ... ok (0.810s)
2022-11-23T01:30:32.7159752Z   test_mul_bool (__main__.TestTEFuserDynamic) ... ok (0.171s)
2022-11-23T01:30:32.7160017Z   test_neg_pow (__main__.TestTEFuserDynamic) ... ok (0.157s)
2022-11-23T01:30:32.7160399Z   test_nonzero_device_cuda (__main__.TestTEFuserDynamic) ... skip: needs non-zero device (0.001s)
2022-11-23T01:30:32.7160706Z   test_nop (__main__.TestTEFuserDynamic) ... ok (0.001s)
2022-11-23T01:30:32.7161169Z   test_profiler (__main__.TestTEFuserDynamic) ... STAGE:2022-11-23 01:29:49 11756:11756 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:30:32.7161655Z STAGE:2022-11-23 01:29:49 11756:11756 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:30:32.7162105Z STAGE:2022-11-23 01:29:49 11756:11756 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:30:32.7162353Z ok (0.077s)
2022-11-23T01:30:32.7162615Z   test_rand_broadcast_cuda (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7162950Z   test_rand_cuda (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7163272Z   test_rand_diamond (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7163547Z   test_relu (__main__.TestTEFuserDynamic) ... ok (0.151s)
2022-11-23T01:30:32.7163812Z   test_relu_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.152s)
2022-11-23T01:30:32.7164106Z   test_remove_output_used_only_in_size (__main__.TestTEFuserDynamic) ... ok (0.029s)
2022-11-23T01:30:32.7164381Z   test_scalar (__main__.TestTEFuserDynamic) ... ok (0.049s)
2022-11-23T01:30:32.7164646Z   test_scalar_arg (__main__.TestTEFuserDynamic) ... ok (0.507s)
2022-11-23T01:30:32.7164928Z   test_scalar_only_inputs (__main__.TestTEFuserDynamic) ... ok (0.048s)
2022-11-23T01:30:32.7165216Z   test_skip_grad_in_check (__main__.TestTEFuserDynamic) ... ok (0.160s)
2022-11-23T01:30:32.7165484Z   test_small_constant (__main__.TestTEFuserDynamic) ... ok (0.309s)
2022-11-23T01:30:32.7165757Z   test_sub_gt_and (__main__.TestTEFuserDynamic) ... ok (0.184s)
2022-11-23T01:30:32.7166020Z   test_sum_dim (__main__.TestTEFuserDynamic) ... ok (0.274s)
2022-11-23T01:30:32.7166282Z   test_sum_keepdim_cast (__main__.TestTEFuserDynamic) ... ok (0.139s)
2022-11-23T01:30:32.7166556Z   test_sum_simple (__main__.TestTEFuserDynamic) ... ok (0.090s)
2022-11-23T01:30:32.7166821Z   test_superslomo (__main__.TestTEFuserDynamic) ... ok (1.257s)
2022-11-23T01:30:32.7167089Z   test_tensor_scalar_ops (__main__.TestTEFuserDynamic) ... ok (0.664s)
2022-11-23T01:30:32.7167375Z   test_ternary_norm_ops (__main__.TestTEFuserDynamic) ... ok (0.426s)
2022-11-23T01:30:32.7167651Z   test_ternary_ops (__main__.TestTEFuserDynamic) ... ok (0.662s)
2022-11-23T01:30:32.7167923Z   test_threshold (__main__.TestTEFuserDynamic) ... ok (0.213s)
2022-11-23T01:30:32.7168177Z   test_to_device (__main__.TestTEFuserDynamic) ... ok (0.150s)
2022-11-23T01:30:32.7168438Z   test_to_dtype (__main__.TestTEFuserDynamic) ... ok (0.387s)
2022-11-23T01:30:32.7168741Z   test_torch_to (__main__.TestTEFuserDynamic) ... ok (3.977s)
2022-11-23T01:30:32.7169000Z   test_type_as_cat (__main__.TestTEFuserDynamic) ... ok (2.127s)
2022-11-23T01:30:32.7169269Z   test_typecheck (__main__.TestTEFuserDynamic) ... ok (0.053s)
2022-11-23T01:30:32.7169602Z   test_unary_ops (__main__.TestTEFuserDynamic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:30:32.7169936Z   test_unrolled_cat (__main__.TestTEFuserDynamic) ... ok (0.012s)
2022-11-23T01:30:32.7170218Z   test_unsqueeze_size_calculation (__main__.TestTEFuserDynamic) ... ok (0.352s)
2022-11-23T01:30:32.7170514Z   test_unsqueeze_var_dim (__main__.TestTEFuserDynamic) ... ok (0.362s)
2022-11-23T01:30:32.7171258Z   test_unsupported_dtypes (__main__.TestTEFuserDynamic) ... /var/lib/jenkins/workspace/test/test_jit_fuser_te.py:1187: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:30:32.7171709Z   return v.to(dtype)
2022-11-23T01:30:32.7171883Z ok (0.037s)
2022-11-23T01:30:32.7172111Z   test_where_and_typing (__main__.TestTEFuserDynamic) ... ok (0.321s)
2022-11-23T01:30:32.7172389Z   test_where_ops (__main__.TestTEFuserDynamic) ... ok (2.705s)
2022-11-23T01:30:32.7172868Z   test_with_strict_fusion (__main__.TestTEFuserDynamic) ... /opt/conda/lib/python3.10/site-packages/torch/jit/__init__.py:216: UserWarning: Only works in script mode
2022-11-23T01:30:32.7173221Z   warnings.warn("Only works in script mode")
2022-11-23T01:30:32.7173421Z ok (0.175s)
2022-11-23T01:30:32.7173638Z   test_zero_element_tensors (__main__.TestTEFuserDynamic) ... ok (0.102s)
2022-11-23T01:30:32.7173913Z   test_abs (__main__.TestTEFuserStatic) ... ok (0.051s)
2022-11-23T01:30:32.7174184Z   test_adaptive_avg_pool2d (__main__.TestTEFuserStatic) ... ok (0.064s)
2022-11-23T01:30:32.7174448Z   test_add_bool (__main__.TestTEFuserStatic) ... ok (0.099s)
2022-11-23T01:30:32.7174711Z   test_addcmul (__main__.TestTEFuserStatic) ... ok (0.042s)
2022-11-23T01:30:32.7174996Z   test_arg_configurations_smoke (__main__.TestTEFuserStatic) ... ok (0.043s)
2022-11-23T01:30:32.7175422Z   test_autocast_down (__main__.TestTEFuserStatic) ... skip: half-precision NNC fusion requires CUDA (0.001s)
2022-11-23T01:30:32.7175865Z   test_autocast_up (__main__.TestTEFuserStatic) ... skip: half-precision NNC fusion requires CUDA (0.000s)
2022-11-23T01:30:32.7176183Z   test_batch_norm (__main__.TestTEFuserStatic) ... ok (0.292s)
2022-11-23T01:30:32.7176592Z   test_binary_div_ops (__main__.TestTEFuserStatic) ... ok (1.113s)
2022-11-23T01:30:32.7176873Z   test_binary_ops (__main__.TestTEFuserStatic) ... ok (3.260s)
2022-11-23T01:30:32.7177190Z   test_binary_pow (__main__.TestTEFuserStatic) ... ok (0.283s)
2022-11-23T01:30:32.7177464Z   test_binary_scalar_ops (__main__.TestTEFuserStatic) ... ok (1.046s)
2022-11-23T01:30:32.7177853Z   test_binary_tensor_scalar_ops (__main__.TestTEFuserStatic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:30:32.7178184Z   test_bitwise_ops (__main__.TestTEFuserStatic) ... ok (0.695s)
2022-11-23T01:30:32.7178451Z   test_broadcast (__main__.TestTEFuserStatic) ... ok (0.057s)
2022-11-23T01:30:32.7178717Z   test_cat_2k_args (__main__.TestTEFuserStatic) ... ok (0.711s)
2022-11-23T01:30:32.7178975Z   test_cat_graph_opt (__main__.TestTEFuserStatic) ... ok (0.079s)
2022-11-23T01:30:32.7179298Z   test_channels_last_dims_dynamic (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7179621Z   test_checks_cat_inputs (__main__.TestTEFuserStatic) ... ok (0.071s)
2022-11-23T01:30:32.7179892Z   test_chunk (__main__.TestTEFuserStatic) ... ok (0.100s)
2022-11-23T01:30:32.7180150Z   test_chunk_correctness (__main__.TestTEFuserStatic) ... ok (1.114s)
2022-11-23T01:30:32.7180436Z   test_chunk_distributes (__main__.TestTEFuserStatic) ... ok (0.060s)
2022-11-23T01:30:32.7180739Z   test_chunk_motion_deduplicates_inputs (__main__.TestTEFuserStatic) ... ok (0.097s)
2022-11-23T01:30:32.7181106Z   test_chunk_mul_one (__main__.TestTEFuserStatic) ... ok (0.112s)
2022-11-23T01:30:32.7181386Z   test_chunk_multiple (__main__.TestTEFuserStatic) ... ok (0.180s)
2022-11-23T01:30:32.7181655Z   test_clamp (__main__.TestTEFuserStatic) ... ok (0.911s)
2022-11-23T01:30:32.7181924Z   test_clamp_double (__main__.TestTEFuserStatic) ... ok (0.058s)
2022-11-23T01:30:32.7182183Z   test_clamp_int (__main__.TestTEFuserStatic) ... ok (0.055s)
2022-11-23T01:30:32.7182455Z   test_comparison_eq_ne (__main__.TestTEFuserStatic) ... ok (0.086s)
2022-11-23T01:30:32.7182737Z   test_comparison_ge_le (__main__.TestTEFuserStatic) ... ok (0.086s)
2022-11-23T01:30:32.7183053Z   test_comparison_gt_lt (__main__.TestTEFuserStatic) ... ok (0.084s)
2022-11-23T01:30:32.7183324Z   test_concat (__main__.TestTEFuserStatic) ... ok (0.051s)
2022-11-23T01:30:32.7183593Z   test_concat_invariant (__main__.TestTEFuserStatic) ... ok (0.079s)
2022-11-23T01:30:32.7184223Z   test_constant_chunk_shapes (__main__.TestTEFuserStatic) ... /var/lib/jenkins/workspace/test/test_jit_fuser_te.py:2444: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
2022-11-23T01:30:32.7184766Z   r = torch.tensor(4)
2022-11-23T01:30:32.7184937Z ok (0.111s)
2022-11-23T01:30:32.7185150Z   test_conv2d (__main__.TestTEFuserStatic) ... ok (0.026s)
2022-11-23T01:30:32.7185407Z   test_conv2d_depthwise (__main__.TestTEFuserStatic) ... ok (0.901s)
2022-11-23T01:30:32.7185710Z   test_cuda_half (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7185994Z   test_dims (__main__.TestTEFuserStatic) ... ok (0.068s)
2022-11-23T01:30:32.7186252Z   test_disabled (__main__.TestTEFuserStatic) ... ok (0.006s)
2022-11-23T01:30:32.7186505Z   test_div_bool (__main__.TestTEFuserStatic) ... ok (0.035s)
2022-11-23T01:30:32.7186770Z   test_dynamic_cat (__main__.TestTEFuserStatic) ... ok (0.009s)
2022-11-23T01:30:32.7187045Z   test_dynamic_shapes (__main__.TestTEFuserStatic) ... ok (2.131s)
2022-11-23T01:30:32.7187312Z   test_eq_unsqueeze_type_as (__main__.TestTEFuserStatic) ... ok (0.108s)
2022-11-23T01:30:32.7187578Z   test_erf (__main__.TestTEFuserStatic) ... ok (0.001s)
2022-11-23T01:30:32.7187857Z   test_exhaust_specializations (__main__.TestTEFuserStatic) ... ok (0.029s)
2022-11-23T01:30:32.7188121Z   test_exp (__main__.TestTEFuserStatic) ... ok (0.067s)
2022-11-23T01:30:32.7188421Z   test_fusion_reuse_multi_gpu (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7188721Z   test_gelu (__main__.TestTEFuserStatic) ... ok (0.004s)
2022-11-23T01:30:32.7188998Z   test_hardsigmoid_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.130s)
2022-11-23T01:30:32.7189275Z   test_hardswish_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.134s)
2022-11-23T01:30:32.7189568Z   test_inlined_optimized_graph (__main__.TestTEFuserStatic) ... ok (0.090s)
2022-11-23T01:30:32.7189841Z   test_isnan (__main__.TestTEFuserStatic) ... ok (0.357s)
2022-11-23T01:30:32.7190129Z   test_kernel_cache_multi_gpu (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7190424Z   test_lerp (__main__.TestTEFuserStatic) ... ok (0.067s)
2022-11-23T01:30:32.7190898Z   test_list_ops (__main__.TestTEFuserStatic) ... skip: FIXME: fuser doesn't include ListConstruct nodes to the group causing a failure (0.001s)
2022-11-23T01:30:32.7191238Z   test_lstm (__main__.TestTEFuserStatic) ... ok (0.164s)
2022-11-23T01:30:32.7191485Z   test_lstm_concat (__main__.TestTEFuserStatic) ... ok (0.167s)
2022-11-23T01:30:32.7191771Z   test_lstm_gates_permutations (__main__.TestTEFuserStatic) ... ok (1.826s)
2022-11-23T01:30:32.7192052Z   test_lstm_traced (__main__.TestTEFuserStatic) ... ok (0.143s)
2022-11-23T01:30:32.7192339Z   test_masked_fill (__main__.TestTEFuserStatic) ... skip: Temporarily disabled (0.001s)
2022-11-23T01:30:32.7192669Z   test_matmul (__main__.TestTEFuserStatic) ... ok (0.878s)
2022-11-23T01:30:32.7192927Z   test_milstm (__main__.TestTEFuserStatic) ... ok (0.981s)
2022-11-23T01:30:32.7193168Z   test_minmax (__main__.TestTEFuserStatic) ... ok (0.288s)
2022-11-23T01:30:32.7193432Z   test_minmax_int_ops (__main__.TestTEFuserStatic) ... ok (0.319s)
2022-11-23T01:30:32.7193698Z   test_mul_bool (__main__.TestTEFuserStatic) ... ok (0.036s)
2022-11-23T01:30:32.7194045Z   test_neg_pow (__main__.TestTEFuserStatic) ... ok (0.136s)
2022-11-23T01:30:32.7194418Z   test_nonzero_device_cuda (__main__.TestTEFuserStatic) ... skip: needs non-zero device (0.001s)
2022-11-23T01:30:32.7194758Z   test_nop (__main__.TestTEFuserStatic) ... ok (0.001s)
2022-11-23T01:30:32.7195231Z   test_profiler (__main__.TestTEFuserStatic) ... STAGE:2022-11-23 01:30:26 11756:11756 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:30:32.7195706Z STAGE:2022-11-23 01:30:26 11756:11756 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:30:32.7196157Z STAGE:2022-11-23 01:30:26 11756:11756 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:30:32.7196418Z ok (0.027s)
2022-11-23T01:30:32.7196678Z   test_rand_broadcast_cuda (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7196994Z   test_rand_cuda (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s)
2022-11-23T01:30:32.7197317Z   test_rand_diamond (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.000s)
2022-11-23T01:30:32.7197604Z   test_relu (__main__.TestTEFuserStatic) ... ok (0.046s)
2022-11-23T01:30:32.7197858Z   test_relu_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.060s)
2022-11-23T01:30:32.7198154Z   test_remove_output_used_only_in_size (__main__.TestTEFuserStatic) ... ok (0.028s)
2022-11-23T01:30:32.7198432Z   test_scalar (__main__.TestTEFuserStatic) ... ok (0.047s)
2022-11-23T01:30:32.7198697Z   test_scalar_arg (__main__.TestTEFuserStatic) ... ok (0.089s)
2022-11-23T01:30:32.7198961Z   test_scalar_only_inputs (__main__.TestTEFuserStatic) ... ok (0.046s)
2022-11-23T01:30:32.7199247Z   test_skip_grad_in_check (__main__.TestTEFuserStatic) ... ok (0.028s)
2022-11-23T01:30:32.7199529Z   test_small_constant (__main__.TestTEFuserStatic) ... ok (0.072s)
2022-11-23T01:30:32.7199784Z   test_sub_gt_and (__main__.TestTEFuserStatic) ... ok (0.097s)
2022-11-23T01:30:32.7200045Z   test_sum_dim (__main__.TestTEFuserStatic) ... ok (0.121s)
2022-11-23T01:30:32.7200312Z   test_sum_keepdim_cast (__main__.TestTEFuserStatic) ... ok (0.064s)
2022-11-23T01:30:32.7200575Z   test_sum_simple (__main__.TestTEFuserStatic) ... ok (0.068s)
2022-11-23T01:30:32.7200844Z   test_superslomo (__main__.TestTEFuserStatic) ... ok (0.753s)
2022-11-23T01:30:32.7201117Z   test_tensor_scalar_ops (__main__.TestTEFuserStatic) ... ok (0.116s)
2022-11-23T01:30:32.7201398Z   test_ternary_norm_ops (__main__.TestTEFuserStatic) ... ok (0.224s)
2022-11-23T01:30:32.7201662Z   test_ternary_ops (__main__.TestTEFuserStatic) ... ok (0.266s)
2022-11-23T01:30:32.7201931Z   test_threshold (__main__.TestTEFuserStatic) ... ok (0.064s)
2022-11-23T01:30:32.7202197Z   test_to_device (__main__.TestTEFuserStatic) ... ok (0.049s)
2022-11-23T01:30:32.7202448Z   test_to_dtype (__main__.TestTEFuserStatic) ... ok (0.105s)
2022-11-23T01:30:32.7202711Z   test_torch_to (__main__.TestTEFuserStatic) ... ok (0.899s)
2022-11-23T01:30:32.7202976Z   test_type_as_cat (__main__.TestTEFuserStatic) ... ok (1.475s)
2022-11-23T01:30:32.7203244Z   test_typecheck (__main__.TestTEFuserStatic) ... ok (0.048s)
2022-11-23T01:30:32.7203566Z   test_unary_ops (__main__.TestTEFuserStatic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:30:32.7203898Z   test_unrolled_cat (__main__.TestTEFuserStatic) ... ok (0.028s)
2022-11-23T01:30:32.7204187Z   test_unsqueeze_size_calculation (__main__.TestTEFuserStatic) ... ok (0.086s)
2022-11-23T01:30:32.7204468Z   test_unsqueeze_var_dim (__main__.TestTEFuserStatic) ... ok (0.228s)
2022-11-23T01:30:32.7204799Z   test_unsupported_dtypes (__main__.TestTEFuserStatic) ... ok (0.036s)
2022-11-23T01:30:32.7205092Z   test_where_and_typing (__main__.TestTEFuserStatic) ... ok (0.084s)
2022-11-23T01:30:32.7205355Z   test_where_ops (__main__.TestTEFuserStatic) ... ok (0.623s)
2022-11-23T01:30:32.7205849Z   test_with_strict_fusion (__main__.TestTEFuserStatic) ... /opt/conda/lib/python3.10/site-packages/torch/jit/__init__.py:216: UserWarning: Only works in script mode
2022-11-23T01:30:32.7206201Z   warnings.warn("Only works in script mode")
2022-11-23T01:30:32.7206400Z ok (0.071s)
2022-11-23T01:30:32.7206615Z   test_zero_element_tensors (__main__.TestTEFuserStatic) ... ok (0.062s)
2022-11-23T01:30:32.7206813Z 
2022-11-23T01:30:32.7207012Z ----------------------------------------------------------------------
2022-11-23T01:30:32.7207252Z Ran 207 tests in 86.661s
2022-11-23T01:30:32.7207367Z 
2022-11-23T01:30:32.7207427Z OK (skipped=40)
2022-11-23T01:30:32.7207534Z 
2022-11-23T01:30:32.7207618Z Generating XML reports...
2022-11-23T01:30:32.7208060Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-jit.test_fuser_common.TestFuserCommon-20221123012905.xml
2022-11-23T01:30:32.7208604Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-TestTEFuserDynamic-20221123012905.xml
2022-11-23T01:30:32.7209108Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-TestTEFuserStatic-20221123012905.xml
2022-11-23T01:30:32.7209336Z 
2022-11-23T01:30:32.7209648Z ##[endgroup]
2022-11-23T01:30:32.7210034Z FINISHED PRINTING LOG FILE of test_jit_fuser_te (/var/lib/jenkins/workspace/test/test-reports/test_jit_fuser_te_9k9kxktd)
2022-11-23T01:30:32.7210249Z 
2022-11-23T01:30:34.0423546Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:34.1098374Z Ignoring disabled issues:  []
2022-11-23T01:30:34.1273139Z Running test_logging ... [2022-11-23 01:30:34.126982]
2022-11-23T01:30:34.1274637Z Executing ['/opt/conda/bin/python', '-bb', 'test_logging.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:34.127253]
2022-11-23T01:30:34.7141677Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:34.7732796Z Ignoring disabled issues:  []
2022-11-23T01:30:34.7897544Z Running test_masked ... [2022-11-23 01:30:34.789445]
2022-11-23T01:30:34.7899616Z Executing ['/opt/conda/bin/python', '-bb', 'test_masked.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:34.789721]
2022-11-23T01:30:37.4728410Z 
2022-11-23T01:30:37.4728971Z Expand the folded group to see the log file of test_masked
2022-11-23T01:30:37.4730015Z ##[group]PRINTING LOG FILE of test_masked (/var/lib/jenkins/workspace/test/test-reports/test_masked_u2oh7b59)
2022-11-23T01:30:37.4730310Z 
2022-11-23T01:30:37.4730385Z Running tests...
2022-11-23T01:30:37.4730837Z ----------------------------------------------------------------------
2022-11-23T01:30:37.4731011Z 
2022-11-23T01:30:37.4731201Z ----------------------------------------------------------------------
2022-11-23T01:30:37.4731449Z Ran 0 tests in 0.000s
2022-11-23T01:30:37.4731602Z 
2022-11-23T01:30:37.4731664Z OK
2022-11-23T01:30:37.4731754Z 
2022-11-23T01:30:37.4731837Z Generating XML reports...
2022-11-23T01:30:37.4732146Z Test results will be stored in test-reports/python-unittest/test_masked
2022-11-23T01:30:37.4732374Z 
2022-11-23T01:30:37.4732591Z ##[endgroup]
2022-11-23T01:30:37.4732956Z FINISHED PRINTING LOG FILE of test_masked (/var/lib/jenkins/workspace/test/test-reports/test_masked_u2oh7b59)
2022-11-23T01:30:37.4733206Z 
2022-11-23T01:30:38.0343280Z 
2022-11-23T01:30:38.0343826Z Expand the folded group to see the log file of test_logging
2022-11-23T01:30:38.0344803Z ##[group]PRINTING LOG FILE of test_logging (/var/lib/jenkins/workspace/test/test-reports/test_logging_81ng18nt)
2022-11-23T01:30:38.0345173Z 
2022-11-23T01:30:38.0345294Z Running tests...
2022-11-23T01:30:38.0345863Z ----------------------------------------------------------------------
2022-11-23T01:30:38.0346717Z Test results will be stored in test-reports/python-unittest/test_logging
2022-11-23T01:30:38.0347162Z   testApiUsage (__main__.LoggingTest)
2022-11-23T01:30:38.0347604Z This test verifies that api usage logging is not triggered via static ... ok (2.158s)
2022-11-23T01:30:38.0347898Z 
2022-11-23T01:30:38.0348227Z ----------------------------------------------------------------------
2022-11-23T01:30:38.0348617Z Ran 1 test in 2.158s
2022-11-23T01:30:38.0348795Z 
2022-11-23T01:30:38.0348891Z OK
2022-11-23T01:30:38.0349022Z 
2022-11-23T01:30:38.0378402Z Generating XML reports...
2022-11-23T01:30:38.0379485Z Generated XML report: test-reports/python-unittest/test_logging/TEST-LoggingTest-20221123013035.xml
2022-11-23T01:30:38.0380184Z 
2022-11-23T01:30:38.0380819Z ##[endgroup]
2022-11-23T01:30:38.0381724Z FINISHED PRINTING LOG FILE of test_logging (/var/lib/jenkins/workspace/test/test-reports/test_logging_81ng18nt)
2022-11-23T01:30:38.0382226Z 
2022-11-23T01:30:39.4130996Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:39.4712789Z Ignoring disabled issues:  []
2022-11-23T01:30:39.4876167Z Running test_maskedtensor ... [2022-11-23 01:30:39.487325]
2022-11-23T01:30:39.4878069Z Executing ['/opt/conda/bin/python', '-bb', 'test_maskedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:39.487604]
2022-11-23T01:30:39.9972605Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:40.0756443Z Ignoring disabled issues:  []
2022-11-23T01:30:40.0921156Z Running test_matmul_cuda ... [2022-11-23 01:30:40.091778]
2022-11-23T01:30:40.0922755Z Executing ['/opt/conda/bin/python', '-bb', 'test_matmul_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:40.092051]
2022-11-23T01:30:42.0756187Z 
2022-11-23T01:30:42.0756857Z Expand the folded group to see the log file of test_matmul_cuda
2022-11-23T01:30:42.0758217Z ##[group]PRINTING LOG FILE of test_matmul_cuda (/var/lib/jenkins/workspace/test/test-reports/test_matmul_cuda_zwwxtgdk)
2022-11-23T01:30:42.0758595Z 
2022-11-23T01:30:42.0758704Z Running tests...
2022-11-23T01:30:42.0759484Z ----------------------------------------------------------------------
2022-11-23T01:30:42.0759930Z 
2022-11-23T01:30:42.0760241Z ----------------------------------------------------------------------
2022-11-23T01:30:42.0760802Z Ran 0 tests in 0.000s
2022-11-23T01:30:42.0760966Z 
2022-11-23T01:30:42.0761059Z OK
2022-11-23T01:30:42.0761290Z 
2022-11-23T01:30:42.0761420Z Generating XML reports...
2022-11-23T01:30:42.0761928Z Test results will be stored in test-reports/python-unittest/test_matmul_cuda
2022-11-23T01:30:42.0762222Z 
2022-11-23T01:30:42.0762572Z ##[endgroup]
2022-11-23T01:30:42.0762975Z FINISHED PRINTING LOG FILE of test_matmul_cuda (/var/lib/jenkins/workspace/test/test-reports/test_matmul_cuda_zwwxtgdk)
2022-11-23T01:30:42.0763239Z 
2022-11-23T01:30:42.6392732Z 
2022-11-23T01:30:42.6393280Z Expand the folded group to see the log file of test_maskedtensor
2022-11-23T01:30:42.6394485Z ##[group]PRINTING LOG FILE of test_maskedtensor (/var/lib/jenkins/workspace/test/test-reports/test_maskedtensor_gl6vnnr3)
2022-11-23T01:30:42.6394892Z 
2022-11-23T01:30:42.6395029Z Running tests...
2022-11-23T01:30:42.6395687Z ----------------------------------------------------------------------
2022-11-23T01:30:42.6396393Z Test results will be stored in test-reports/python-unittest/test_maskedtensor
2022-11-23T01:30:42.6398104Z   test_binary_fn_aten_add (__main__.TestBinary) ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:156: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2022-11-23T01:30:42.6399242Z   warnings.warn(("The PyTorch API of MaskedTensors is in prototype stage "
2022-11-23T01:30:42.6399671Z ok (0.004s)
2022-11-23T01:30:42.6400301Z   test_binary_fn_aten_arctan2 (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6400798Z   test_binary_fn_aten_atan2 (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6401284Z   test_binary_fn_aten_bitwise_and (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6401811Z   test_binary_fn_aten_bitwise_left_shift (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6402329Z   test_binary_fn_aten_bitwise_or (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6402873Z   test_binary_fn_aten_bitwise_right_shift (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6403399Z   test_binary_fn_aten_bitwise_xor (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6403975Z   test_binary_fn_aten_div (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6404469Z   test_binary_fn_aten_divide (__main__.TestBinary) ... ok (0.003s)
2022-11-23T01:30:42.6404936Z   test_binary_fn_aten_eq (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6405442Z   test_binary_fn_aten_floor_divide (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6405945Z   test_binary_fn_aten_fmax (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6406405Z   test_binary_fn_aten_fmin (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6406890Z   test_binary_fn_aten_fmod (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6407358Z   test_binary_fn_aten_ge (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6407849Z   test_binary_fn_aten_greater (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6408342Z   test_binary_fn_aten_greater_equal (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6408848Z   test_binary_fn_aten_gt (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6409320Z   test_binary_fn_aten_le (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6409777Z   test_binary_fn_aten_less (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6410278Z   test_binary_fn_aten_less_equal (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6410801Z   test_binary_fn_aten_logaddexp (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6411292Z   test_binary_fn_aten_logaddexp2 (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6411782Z   test_binary_fn_aten_lt (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6412266Z   test_binary_fn_aten_maximum (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6412767Z   test_binary_fn_aten_minimum (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6413232Z   test_binary_fn_aten_mul (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6413726Z   test_binary_fn_aten_multiply (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6414237Z   test_binary_fn_aten_ne (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6414711Z   test_binary_fn_aten_nextafter (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6415206Z   test_binary_fn_aten_not_equal (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6415719Z   test_binary_fn_aten_remainder (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6416200Z   test_binary_fn_aten_sub (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6416838Z   test_binary_fn_aten_subtract (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6417354Z   test_binary_fn_aten_true_divide (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6417882Z   test_inplace_binary_fn_aten_add_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6418384Z   test_inplace_binary_fn_aten_arctan2_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6418907Z   test_inplace_binary_fn_aten_atan2_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6459224Z   test_inplace_binary_fn_aten_bitwise_and_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6460074Z   test_inplace_binary_fn_aten_bitwise_left_shift_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6460815Z   test_inplace_binary_fn_aten_bitwise_or_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6461758Z   test_inplace_binary_fn_aten_bitwise_right_shift_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6465199Z   test_inplace_binary_fn_aten_bitwise_xor_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6465903Z   test_inplace_binary_fn_aten_div_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6466578Z   test_inplace_binary_fn_aten_divide_ (__main__.TestBinary) ... ok (0.001s)
2022-11-23T01:30:42.6467242Z   test_inplace_binary_fn_aten_eq_ (__main__.TestBinary) ... ok (0.011s)
2022-11-23T01:30:42.6467948Z   test_inplace_binary_fn_aten_floor_divide_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6468637Z   test_inplace_binary_fn_aten_fmod_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6469445Z   test_inplace_binary_fn_aten_ge_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6470111Z   test_inplace_binary_fn_aten_greater_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6470822Z   test_inplace_binary_fn_aten_greater_equal_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6471546Z   test_inplace_binary_fn_aten_gt_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6472227Z   test_inplace_binary_fn_aten_le_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6472887Z   test_inplace_binary_fn_aten_less_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6473579Z   test_inplace_binary_fn_aten_less_equal_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6474367Z   test_inplace_binary_fn_aten_lt_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6475026Z   test_inplace_binary_fn_aten_mul_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6475697Z   test_inplace_binary_fn_aten_multiply_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6476392Z   test_inplace_binary_fn_aten_ne_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6477050Z   test_inplace_binary_fn_aten_nextafter_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6477751Z   test_inplace_binary_fn_aten_not_equal_ (__main__.TestBinary) ... ok (0.010s)
2022-11-23T01:30:42.6478455Z   test_inplace_binary_fn_aten_remainder_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6479147Z   test_inplace_binary_fn_aten_sub_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6479801Z   test_inplace_binary_fn_aten_subtract_ (__main__.TestBinary) ... ok (0.002s)
2022-11-23T01:30:42.6480490Z   test_inplace_binary_fn_aten_true_divide_ (__main__.TestBinary) ... ok (0.001s)
2022-11-23T01:30:42.6481165Z   test_masks_match_fn_name_add (__main__.TestBinary) ... ok (0.001s)
2022-11-23T01:30:42.6481809Z   test_masks_match_fn_name_add_ (__main__.TestBinary) ... ok (0.001s)
2022-11-23T01:30:42.6482426Z   test_all (__main__.TestReductions) ... ok (0.003s)
2022-11-23T01:30:42.6482996Z   test_amax (__main__.TestReductions) ... ok (0.002s)
2022-11-23T01:30:42.6484734Z   test_amax_grad (__main__.TestReductions) ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:161: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach()
2022-11-23T01:30:42.6485959Z   warnings.warn("It is not recommended to create a MaskedTensor with a tensor that requires_grad. "
2022-11-23T01:30:42.6486533Z ok (0.003s)
2022-11-23T01:30:42.6486973Z   test_amin (__main__.TestReductions) ... ok (0.002s)
2022-11-23T01:30:42.6487567Z   test_amin_grad (__main__.TestReductions) ... ok (0.002s)
2022-11-23T01:30:42.6488116Z   test_grad_dtype (__main__.TestReductions) ... ok (0.003s)
2022-11-23T01:30:42.6489568Z   test_max_not_implemented (__main__.TestReductions) ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:299: UserWarning: max is not implemented in __torch_dispatch__ for MaskedTensor.
2022-11-23T01:30:42.6490993Z If you would like this operator to be supported, please file an issue for a feature request at https://github.com/pytorch/maskedtensor/issues with a minimal reproducible code snippet.
2022-11-23T01:30:42.6492337Z In the case that the semantics for the operator are not trivial, it would be appreciated to also include a proposal for the semantics.
2022-11-23T01:30:42.6493056Z   warnings.warn(msg)
2022-11-23T01:30:42.6493458Z ok (0.001s)
2022-11-23T01:30:42.6493933Z   test_mean (__main__.TestReductions) ... ok (0.002s)
2022-11-23T01:30:42.6494516Z   test_mean_dim_grad (__main__.TestReductions) ... ok (0.003s)
2022-11-23T01:30:42.6495091Z   test_mean_grad_case_1a (__main__.TestReductions)
2022-11-23T01:30:42.6496203Z values.requires_grad = True ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:156: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2022-11-23T01:30:42.6497284Z   warnings.warn(("The PyTorch API of MaskedTensors is in prototype stage "
2022-11-23T01:30:42.6498214Z /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:161: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach()
2022-11-23T01:30:42.6508143Z   warnings.warn("It is not recommended to create a MaskedTensor with a tensor that requires_grad. "
2022-11-23T01:30:42.6508525Z ok (0.006s)
2022-11-23T01:30:42.6508811Z   test_mean_grad_case_1b (__main__.TestReductions)
2022-11-23T01:30:42.6509131Z values.requires_grad = False ... ok (0.003s)
2022-11-23T01:30:42.6509470Z   test_mean_grad_case_1c (__main__.TestReductions)
2022-11-23T01:30:42.6510715Z values.requires_grad = True ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:156: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2022-11-23T01:30:42.6511570Z   warnings.warn(("The PyTorch API of MaskedTensors is in prototype stage "
2022-11-23T01:30:42.6511890Z ok (0.005s)
2022-11-23T01:30:42.6512175Z   test_mean_grad_case_1d (__main__.TestReductions)
2022-11-23T01:30:42.6512510Z values.requires_grad = False ... ok (0.001s)
2022-11-23T01:30:42.6512832Z   test_mean_grad_case_1e (__main__.TestReductions)
2022-11-23T01:30:42.6513747Z values.requires_grad = True ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:161: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach()
2022-11-23T01:30:42.6514554Z   warnings.warn("It is not recommended to create a MaskedTensor with a tensor that requires_grad. "
2022-11-23T01:30:42.6514924Z ok (0.006s)
2022-11-23T01:30:42.6515191Z   test_mean_grad_case_1f (__main__.TestReductions)
2022-11-23T01:30:42.6516361Z values.requires_grad = False ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:156: UserWarning: The PyTorch API of MaskedTensors is in prototype stage and will change in the near future. Please open a Github issue for features requests and see our documentation on the torch.masked module for further information about the project.
2022-11-23T01:30:42.6517199Z   warnings.warn(("The PyTorch API of MaskedTensors is in prototype stage "
2022-11-23T01:30:42.6517537Z ok (0.001s)
2022-11-23T01:30:42.6517805Z   test_prod (__main__.TestReductions) ... ok (0.002s)
2022-11-23T01:30:42.6518776Z   test_prod_grad (__main__.TestReductions) ... /opt/conda/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py:161: UserWarning: It is not recommended to create a MaskedTensor with a tensor that requires_grad. To avoid this, you can use data.clone().detach()
2022-11-23T01:30:42.6519505Z   warnings.warn("It is not recommended to create a MaskedTensor with a tensor that requires_grad. "
2022-11-23T01:30:42.6519864Z ok (0.002s)
2022-11-23T01:30:42.6520147Z   test_sum (__main__.TestReductions) ... ok (0.002s)
2022-11-23T01:30:42.6520635Z   test_sum_grad (__main__.TestReductions) ... ok (0.002s)
2022-11-23T01:30:42.6521029Z   test_inplace_unary_fn_aten_abs_ (__main__.TestUnary) ... ok (0.002s)
2022-11-23T01:30:42.6521427Z   test_inplace_unary_fn_aten_absolute_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6521837Z   test_inplace_unary_fn_aten_acos_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6522237Z   test_inplace_unary_fn_aten_acosh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6522622Z   test_inplace_unary_fn_aten_arccos_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6523006Z   test_inplace_unary_fn_aten_arccosh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6523512Z   test_inplace_unary_fn_aten_arcsin_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6523906Z   test_inplace_unary_fn_aten_arcsinh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6524317Z   test_inplace_unary_fn_aten_arctan_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6524749Z   test_inplace_unary_fn_aten_arctanh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6525156Z   test_inplace_unary_fn_aten_asin_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6525572Z   test_inplace_unary_fn_aten_asinh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6525984Z   test_inplace_unary_fn_aten_atan_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6526405Z   test_inplace_unary_fn_aten_atanh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6526826Z   test_inplace_unary_fn_aten_bitwise_not_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6527227Z   test_inplace_unary_fn_aten_ceil_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6527629Z   test_inplace_unary_fn_aten_clamp_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6528092Z   test_inplace_unary_fn_aten_clip_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6528499Z   test_inplace_unary_fn_aten_conj_physical_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6528907Z   test_inplace_unary_fn_aten_cos_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6529299Z   test_inplace_unary_fn_aten_cosh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6529694Z   test_inplace_unary_fn_aten_deg2rad_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6530160Z   test_inplace_unary_fn_aten_digamma_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6530544Z   test_inplace_unary_fn_aten_erf_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6530936Z   test_inplace_unary_fn_aten_erfc_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6531334Z   test_inplace_unary_fn_aten_erfinv_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6531728Z   test_inplace_unary_fn_aten_exp2_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6532131Z   test_inplace_unary_fn_aten_exp_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6532531Z   test_inplace_unary_fn_aten_expm1_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6532936Z   test_inplace_unary_fn_aten_fix_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6533310Z   test_inplace_unary_fn_aten_floor_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6533699Z   test_inplace_unary_fn_aten_frac_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6534071Z   test_inplace_unary_fn_aten_i0_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6534443Z   test_inplace_unary_fn_aten_lgamma_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6534842Z   test_inplace_unary_fn_aten_log10_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6535241Z   test_inplace_unary_fn_aten_log1p_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6535662Z   test_inplace_unary_fn_aten_log2_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6536061Z   test_inplace_unary_fn_aten_log_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6536622Z   test_inplace_unary_fn_aten_logit_ (__main__.TestUnary) ... ok (0.002s)
2022-11-23T01:30:42.6537171Z   test_inplace_unary_fn_aten_nan_to_num_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6537581Z   test_inplace_unary_fn_aten_neg_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6537993Z   test_inplace_unary_fn_aten_negative_ (__main__.TestUnary) ... ok (0.002s)
2022-11-23T01:30:42.6538405Z   test_inplace_unary_fn_aten_pow_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6538798Z   test_inplace_unary_fn_aten_rad2deg_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6539222Z   test_inplace_unary_fn_aten_reciprocal_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6539638Z   test_inplace_unary_fn_aten_round_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6540128Z   test_inplace_unary_fn_aten_rsqrt_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6540503Z   test_inplace_unary_fn_aten_sgn_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6540888Z   test_inplace_unary_fn_aten_sigmoid_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6541312Z   test_inplace_unary_fn_aten_sign_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6541699Z   test_inplace_unary_fn_aten_sin_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6542087Z   test_inplace_unary_fn_aten_sinc_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6542486Z   test_inplace_unary_fn_aten_sinh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6542861Z   test_inplace_unary_fn_aten_sqrt_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6543249Z   test_inplace_unary_fn_aten_square_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6543659Z   test_inplace_unary_fn_aten_tan_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6544040Z   test_inplace_unary_fn_aten_tanh_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6544473Z   test_inplace_unary_fn_aten_trunc_ (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6544848Z   test_unary_fn_aten_abs (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6545209Z   test_unary_fn_aten_absolute (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6545568Z   test_unary_fn_aten_acos (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6545932Z   test_unary_fn_aten_acosh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6546295Z   test_unary_fn_aten_angle (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6546664Z   test_unary_fn_aten_arccos (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6547039Z   test_unary_fn_aten_arccosh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6547414Z   test_unary_fn_aten_arcsin (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6547775Z   test_unary_fn_aten_arcsinh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6548141Z   test_unary_fn_aten_arctan (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6548495Z   test_unary_fn_aten_arctanh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6548876Z   test_unary_fn_aten_asin (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6549281Z   test_unary_fn_aten_asinh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6549630Z   test_unary_fn_aten_atan (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6550005Z   test_unary_fn_aten_atanh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6550377Z   test_unary_fn_aten_bitwise_not (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6550733Z   test_unary_fn_aten_ceil (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6551112Z   test_unary_fn_aten_clamp (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6551469Z   test_unary_fn_aten_clip (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6551836Z   test_unary_fn_aten_conj_physical (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6552222Z   test_unary_fn_aten_cos (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6552583Z   test_unary_fn_aten_cosh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6552945Z   test_unary_fn_aten_deg2rad (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6553366Z   test_unary_fn_aten_digamma (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6553734Z   test_unary_fn_aten_erf (__main__.TestUnary) ... ok (0.002s)
2022-11-23T01:30:42.6554175Z   test_unary_fn_aten_erfc (__main__.TestUnary) ... ok (0.002s)
2022-11-23T01:30:42.6554525Z   test_unary_fn_aten_erfinv (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6554884Z   test_unary_fn_aten_exp (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6555234Z   test_unary_fn_aten_exp2 (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6555575Z   test_unary_fn_aten_expm1 (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6555935Z   test_unary_fn_aten_fix (__main__.TestUnary) ... ok (0.002s)
2022-11-23T01:30:42.6556380Z   test_unary_fn_aten_floor (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6556756Z   test_unary_fn_aten_frac (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6557104Z   test_unary_fn_aten_i0 (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6557459Z   test_unary_fn_aten_isnan (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6557832Z   test_unary_fn_aten_lgamma (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6558176Z   test_unary_fn_aten_log (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6558538Z   test_unary_fn_aten_log10 (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6558896Z   test_unary_fn_aten_log1p (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6559244Z   test_unary_fn_aten_log2 (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6559608Z   test_unary_fn_aten_logit (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6559987Z   test_unary_fn_aten_nan_to_num (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6560408Z   test_unary_fn_aten_neg (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6560856Z   test_unary_fn_aten_negative (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6561342Z   test_unary_fn_aten_positive (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6561814Z   test_unary_fn_aten_pow (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6562197Z   test_unary_fn_aten_rad2deg (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6562583Z   test_unary_fn_aten_reciprocal (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6562944Z   test_unary_fn_aten_round (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6563295Z   test_unary_fn_aten_rsqrt (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6563677Z   test_unary_fn_aten_sgn (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6564064Z   test_unary_fn_aten_sigmoid (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6564484Z   test_unary_fn_aten_sign (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6564902Z   test_unary_fn_aten_signbit (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6565323Z   test_unary_fn_aten_sin (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6565700Z   test_unary_fn_aten_sinc (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6566057Z   test_unary_fn_aten_sinh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6566416Z   test_unary_fn_aten_sqrt (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6566802Z   test_unary_fn_aten_square (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6567150Z   test_unary_fn_aten_tan (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6567512Z   test_unary_fn_aten_tanh (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6567872Z   test_unary_fn_aten_trunc (__main__.TestUnary) ... ok (0.001s)
2022-11-23T01:30:42.6568087Z 
2022-11-23T01:30:42.6568428Z ----------------------------------------------------------------------
2022-11-23T01:30:42.6568760Z Ran 207 tests in 0.427s
2022-11-23T01:30:42.6568938Z 
2022-11-23T01:30:42.6569026Z OK
2022-11-23T01:30:42.6569156Z 
2022-11-23T01:30:42.6569281Z Generating XML reports...
2022-11-23T01:30:42.6569849Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestBinary-20221123013041.xml
2022-11-23T01:30:42.6570669Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestReductions-20221123013041.xml
2022-11-23T01:30:42.6571383Z Generated XML report: test-reports/python-unittest/test_maskedtensor/TEST-TestUnary-20221123013041.xml
2022-11-23T01:30:42.6571692Z 
2022-11-23T01:30:42.6572121Z ##[endgroup]
2022-11-23T01:30:42.6572697Z FINISHED PRINTING LOG FILE of test_maskedtensor (/var/lib/jenkins/workspace/test/test-reports/test_maskedtensor_gl6vnnr3)
2022-11-23T01:30:42.6573020Z 
2022-11-23T01:30:44.0719144Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:44.1311613Z Ignoring disabled issues:  []
2022-11-23T01:30:44.1477819Z Running test_meta ... [2022-11-23 01:30:44.147434]
2022-11-23T01:30:44.1479253Z Executing ['/opt/conda/bin/python', '-bb', 'test_meta.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:44.147692]
2022-11-23T01:30:44.6541287Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:44.7442814Z Ignoring disabled issues:  []
2022-11-23T01:30:44.7606611Z Running test_mkl_verbose ... [2022-11-23 01:30:44.760386]
2022-11-23T01:30:44.7608604Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkl_verbose.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:44.760647]
2022-11-23T01:30:46.9361634Z 
2022-11-23T01:30:46.9367307Z Expand the folded group to see the log file of test_meta
2022-11-23T01:30:46.9373403Z ##[group]PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_pblz45q4)
2022-11-23T01:30:46.9378356Z 
2022-11-23T01:30:46.9378731Z Running tests...
2022-11-23T01:30:46.9379592Z ----------------------------------------------------------------------
2022-11-23T01:30:46.9380490Z Test results will be stored in test-reports/python-unittest/test_meta
2022-11-23T01:30:46.9381108Z   test_channels_last (__main__.TestMetaConverter) ... ok (0.003s)
2022-11-23T01:30:46.9381732Z   test_channels_last_leaf (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:30:46.9382378Z   test_channels_last_non_leaf (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:30:46.9385168Z   test_complex_noncontiguous_bug (__main__.TestMetaConverter) ... /var/lib/jenkins/workspace/test/test_meta.py:232: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:30:46.9386252Z   x = torch.randn((2, 2, 4, 9), dtype=torch.complex32)[:, 0, :, :]
2022-11-23T01:30:46.9386713Z ok (0.002s)
2022-11-23T01:30:46.9387233Z   test_empty_strided_non_dense_leaf (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:30:46.9387837Z   test_imag (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:30:46.9388371Z   test_leaf (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:30:46.9388926Z   test_non_leaf (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:30:46.9390542Z   test_non_leaf_torture (__main__.TestMetaConverter) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:30:46.9391616Z   warnings.warn(message, UserWarning)
2022-11-23T01:30:46.9392016Z ok (0.002s)
2022-11-23T01:30:46.9392509Z   test_requires_grad_false (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:30:46.9393162Z   test_tensor_outlives_converter (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:30:46.9393770Z   test_view_as_complex (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:30:46.9394465Z   test_view_as_real (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:30:46.9395053Z   test_view_dtype (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:30:46.9395610Z   test_view_of_leaf (__main__.TestMetaConverter) ... ok (0.003s)
2022-11-23T01:30:46.9396213Z   test_view_of_non_leaf (__main__.TestMetaConverter) ... ok (0.003s)
2022-11-23T01:30:46.9397108Z   test_view_of_view_of_leaf (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:30:46.9397701Z   test_weakref (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:30:46.9397983Z 
2022-11-23T01:30:46.9398432Z ----------------------------------------------------------------------
2022-11-23T01:30:46.9398948Z Ran 18 tests in 0.031s
2022-11-23T01:30:46.9399185Z 
2022-11-23T01:30:46.9399326Z OK
2022-11-23T01:30:46.9399526Z 
2022-11-23T01:30:46.9399687Z Generating XML reports...
2022-11-23T01:30:46.9400551Z Generated XML report: test-reports/python-unittest/test_meta/TEST-TestMetaConverter-20221123013046.xml
2022-11-23T01:30:46.9401012Z 
2022-11-23T01:30:46.9401632Z ##[endgroup]
2022-11-23T01:30:46.9402414Z FINISHED PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_pblz45q4)
2022-11-23T01:30:46.9402860Z 
2022-11-23T01:30:48.8678382Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:48.9266221Z Ignoring disabled issues:  []
2022-11-23T01:30:48.9431292Z Running test_mkldnn ... [2022-11-23 01:30:48.942756]
2022-11-23T01:30:48.9432384Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:48.943018]
2022-11-23T01:30:50.6097502Z 
2022-11-23T01:30:50.6098151Z Expand the folded group to see the log file of test_mkl_verbose
2022-11-23T01:30:50.6099475Z ##[group]PRINTING LOG FILE of test_mkl_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkl_verbose_6tt1fvhd)
2022-11-23T01:30:50.6100014Z 
2022-11-23T01:30:50.6100176Z Running tests...
2022-11-23T01:30:50.6101001Z ----------------------------------------------------------------------
2022-11-23T01:30:50.6101892Z Test results will be stored in test-reports/python-unittest/test_mkl_verbose
2022-11-23T01:30:50.6102600Z   test_verbose_off (__main__.TestMKLVerbose) ... ok (1.680s)
2022-11-23T01:30:50.6103205Z   test_verbose_on (__main__.TestMKLVerbose) ... ok (2.417s)
2022-11-23T01:30:50.6103551Z 
2022-11-23T01:30:50.6104033Z ----------------------------------------------------------------------
2022-11-23T01:30:50.6104578Z Ran 2 tests in 4.097s
2022-11-23T01:30:50.6104837Z 
2022-11-23T01:30:50.6104970Z OK
2022-11-23T01:30:50.6105191Z 
2022-11-23T01:30:50.6105393Z Generating XML reports...
2022-11-23T01:30:50.6106368Z Generated XML report: test-reports/python-unittest/test_mkl_verbose/TEST-TestMKLVerbose-20221123013046.xml
2022-11-23T01:30:50.6106912Z 
2022-11-23T01:30:50.6107421Z ##[endgroup]
2022-11-23T01:30:50.6108331Z FINISHED PRINTING LOG FILE of test_mkl_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkl_verbose_6tt1fvhd)
2022-11-23T01:30:50.6108874Z 
2022-11-23T01:30:52.7639454Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:52.8631489Z Ignoring disabled issues:  []
2022-11-23T01:30:52.8938002Z Running test_mkldnn_fusion ... [2022-11-23 01:30:52.893203]
2022-11-23T01:30:52.8939885Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn_fusion.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:52.893702]
2022-11-23T01:31:46.6491203Z 
2022-11-23T01:31:46.6491659Z Expand the folded group to see the log file of test_mkldnn
2022-11-23T01:31:46.6503282Z ##[group]PRINTING LOG FILE of test_mkldnn (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_tegk60bd)
2022-11-23T01:31:46.6503650Z 
2022-11-23T01:31:46.6503736Z Running tests...
2022-11-23T01:31:46.6504143Z ----------------------------------------------------------------------
2022-11-23T01:31:46.6504518Z Test results will be stored in test-reports/python-unittest/test_mkldnn
2022-11-23T01:31:46.6504806Z   test_0_dimension_tensor (__main__.TestMkldnn) ... ok (0.311s)
2022-11-23T01:31:46.6543689Z   test_adaptive_avg_pool2d (__main__.TestMkldnn) ... ok (0.145s)
2022-11-23T01:31:46.6544953Z   test_adaptive_avg_pool2d_bf16 (__main__.TestMkldnn) ... ok (0.058s)
2022-11-23T01:31:46.6545406Z   test_add (__main__.TestMkldnn) ... ok (0.069s)
2022-11-23T01:31:46.6546108Z   test_autograd_from_mkldnn (__main__.TestMkldnn) ... ok (0.006s)
2022-11-23T01:31:46.6546536Z   test_autograd_to_mkldnn (__main__.TestMkldnn) ... ok (0.008s)
2022-11-23T01:31:46.6546977Z   test_avg_pool2d (__main__.TestMkldnn) ... ok (0.017s)
2022-11-23T01:31:46.6547523Z   test_avg_pool2d_bf16 (__main__.TestMkldnn) ... ok (0.009s)
2022-11-23T01:31:46.6553440Z   test_avg_pool2d_stride_none (__main__.TestMkldnn) ... ok (0.008s)
2022-11-23T01:31:46.6554183Z   test_avg_pool3d (__main__.TestMkldnn) ... ok (1.483s)
2022-11-23T01:31:46.6554612Z   test_avg_pool3d_bf16 (__main__.TestMkldnn) ... ok (0.474s)
2022-11-23T01:31:46.6555727Z   test_batch_norm_2d (__main__.TestMkldnn) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_trace.py:780: UserWarning: The input to trace is already a ScriptModule, tracing it is a no-op. Returning the object as is.
2022-11-23T01:31:46.6556526Z   warnings.warn(
2022-11-23T01:31:46.6556812Z ok (0.087s)
2022-11-23T01:31:46.6557184Z   test_batch_norm_2d_bf16 (__main__.TestMkldnn) ... ok (0.022s)
2022-11-23T01:31:46.6557616Z   test_batch_norm_3d (__main__.TestMkldnn) ... ok (1.137s)
2022-11-23T01:31:46.6558021Z   test_batch_norm_3d_bf16 (__main__.TestMkldnn) ... ok (0.539s)
2022-11-23T01:31:46.6558426Z   test_clone (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6558812Z   test_conv1d (__main__.TestMkldnn) ... ok (0.123s)
2022-11-23T01:31:46.6559212Z   test_conv1d_bf16 (__main__.TestMkldnn) ... ok (0.055s)
2022-11-23T01:31:46.6559636Z   test_conv1d_functional (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6560049Z   test_conv2d (__main__.TestMkldnn) ... ok (0.972s)
2022-11-23T01:31:46.6560435Z   test_conv2d_bf16 (__main__.TestMkldnn) ... ok (0.291s)
2022-11-23T01:31:46.6560856Z   test_conv2d_legacy_jit_model (__main__.TestMkldnn)
2022-11-23T01:31:46.6561348Z MKLDNN integration used to serialize models with 5d weight for grouped ... ok (0.016s)
2022-11-23T01:31:46.6561839Z   test_conv2d_nhwc (__main__.TestMkldnn) ... ok (1.291s)
2022-11-23T01:31:46.6562238Z   test_conv2d_nhwc_bf16 (__main__.TestMkldnn) ... ok (1.928s)
2022-11-23T01:31:46.6562659Z   test_conv3d (__main__.TestMkldnn) ... ok (2.719s)
2022-11-23T01:31:46.6563056Z   test_conv3d_bf16 (__main__.TestMkldnn) ... ok (0.728s)
2022-11-23T01:31:46.6563449Z   test_conversion (__main__.TestMkldnn) ... ok (0.034s)
2022-11-23T01:31:46.6563846Z   test_copy (__main__.TestMkldnn) ... ok (0.018s)
2022-11-23T01:31:46.6564241Z   test_detach (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6564614Z   test_empty (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6565004Z   test_gelu (__main__.TestMkldnn) ... ok (0.004s)
2022-11-23T01:31:46.6565407Z   test_gelu_bf16 (__main__.TestMkldnn) ... ok (0.004s)
2022-11-23T01:31:46.6565798Z   test_is_mkldnn (__main__.TestMkldnn) ... ok (0.001s)
2022-11-23T01:31:46.6566216Z   test_is_mkldnn_jit (__main__.TestMkldnn) ... ok (0.007s)
2022-11-23T01:31:46.6567452Z   test_legacy_new_failure (__main__.TestMkldnn) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:31:46.6568307Z   warnings.warn(message, UserWarning)
2022-11-23T01:31:46.6576097Z ok (0.009s)
2022-11-23T01:31:46.6576684Z   test_linear (__main__.TestMkldnn) ... ok (0.026s)
2022-11-23T01:31:46.6579237Z   test_linear_backward (__main__.TestMkldnn) ... ok (0.008s)
2022-11-23T01:31:46.6579951Z   test_linear_bf16 (__main__.TestMkldnn) ... ok (0.016s)
2022-11-23T01:31:46.6580390Z   test_linear_non_contiguous_weight (__main__.TestMkldnn) ... ok (0.005s)
2022-11-23T01:31:46.6580865Z   test_max_pool2d (__main__.TestMkldnn) ... ok (0.109s)
2022-11-23T01:31:46.6584114Z   test_max_pool2d_bf16 (__main__.TestMkldnn) ... ok (0.126s)
2022-11-23T01:31:46.6584794Z   test_max_pool2d_stride_none (__main__.TestMkldnn) ... ok (0.021s)
2022-11-23T01:31:46.6585523Z   test_max_pool3d (__main__.TestMkldnn) ... ok (17.957s)
2022-11-23T01:31:46.6586130Z   test_max_pool3d_bf16 (__main__.TestMkldnn) ... ok (10.906s)
2022-11-23T01:31:46.6586594Z   test_max_pool_unsupported (__main__.TestMkldnn) ... ok (0.019s)
2022-11-23T01:31:46.6587064Z   test_mkldnn_conv_shapecheck (__main__.TestMkldnn) ... ok (0.043s)
2022-11-23T01:31:46.6587500Z   test_mul (__main__.TestMkldnn) ... ok (0.094s)
2022-11-23T01:31:46.6587887Z   test_prelu (__main__.TestMkldnn) ... ok (8.135s)
2022-11-23T01:31:46.6588263Z   test_prelu_bf16 (__main__.TestMkldnn) ... ok (3.834s)
2022-11-23T01:31:46.6588660Z   test_relu (__main__.TestMkldnn) ... ok (0.003s)
2022-11-23T01:31:46.6589043Z   test_relu_ (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6589541Z   test_relu_bf16 (__main__.TestMkldnn) ... ok (0.001s)
2022-11-23T01:31:46.6589964Z   test_relu_inplace_bf16 (__main__.TestMkldnn) ... ok (0.001s)
2022-11-23T01:31:46.6590377Z   test_repr (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6590766Z   test_reshape (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6591171Z   test_reshape_backward (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6591635Z   test_reshape_blocked_format (__main__.TestMkldnn) ... ok (0.010s)
2022-11-23T01:31:46.6592821Z   test_resnet18 (__main__.TestMkldnn) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
2022-11-23T01:31:46.6593497Z   warnings.warn(
2022-11-23T01:31:46.6594648Z /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.
2022-11-23T01:31:46.6595365Z   warnings.warn(msg)
2022-11-23T01:31:46.6595658Z ok (0.413s)
2022-11-23T01:31:46.6596160Z   test_resnext50_32x4d (__main__.TestMkldnn) ... ok (1.044s)
2022-11-23T01:31:46.6596674Z   test_set_data_tensorimpl_type (__main__.TestMkldnn) ... ok (0.004s)
2022-11-23T01:31:46.6597175Z   test_sigmoid (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6597633Z   test_softmax (__main__.TestMkldnn) ... ok (0.003s)
2022-11-23T01:31:46.6598075Z   test_tanh (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6598548Z   test_transpose (__main__.TestMkldnn) ... ok (0.005s)
2022-11-23T01:31:46.6599063Z   test_transpose_invalid_dime (__main__.TestMkldnn) ... ok (0.006s)
2022-11-23T01:31:46.6599560Z   test_unsupported (__main__.TestMkldnn) ... ok (0.071s)
2022-11-23T01:31:46.6600029Z   test_view (__main__.TestMkldnn) ... ok (0.008s)
2022-11-23T01:31:46.6600488Z   test_zero_ (__main__.TestMkldnn) ... ok (0.002s)
2022-11-23T01:31:46.6600752Z 
2022-11-23T01:31:46.6601179Z ----------------------------------------------------------------------
2022-11-23T01:31:46.6601628Z Ran 68 tests in 55.468s
2022-11-23T01:31:46.6601848Z 
2022-11-23T01:31:46.6601971Z OK
2022-11-23T01:31:46.6602241Z 
2022-11-23T01:31:46.6602395Z Generating XML reports...
2022-11-23T01:31:46.6603042Z Generated XML report: test-reports/python-unittest/test_mkldnn/TEST-TestMkldnn-20221123013050.xml
2022-11-23T01:31:46.6603399Z 
2022-11-23T01:31:46.6603901Z ##[endgroup]
2022-11-23T01:31:46.6604527Z FINISHED PRINTING LOG FILE of test_mkldnn (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_tegk60bd)
2022-11-23T01:31:46.6604867Z 
2022-11-23T01:31:49.5691152Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:31:49.6495327Z Ignoring disabled issues:  []
2022-11-23T01:31:49.6664053Z Running test_mkldnn_verbose ... [2022-11-23 01:31:49.666017]
2022-11-23T01:31:49.6666296Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn_verbose.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:31:49.666311]
2022-11-23T01:31:55.8214655Z 
2022-11-23T01:31:55.8215630Z Expand the folded group to see the log file of test_mkldnn_verbose
2022-11-23T01:31:55.8217350Z ##[group]PRINTING LOG FILE of test_mkldnn_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_verbose_zja4t4tq)
2022-11-23T01:31:55.8244272Z 
2022-11-23T01:31:55.8246856Z Running tests...
2022-11-23T01:31:55.8247846Z ----------------------------------------------------------------------
2022-11-23T01:31:55.8249192Z Test results will be stored in test-reports/python-unittest/test_mkldnn_verbose
2022-11-23T01:31:55.8249978Z   test_verbose_off (__main__.TestMKLDNNVerbose) ... ok (1.747s)
2022-11-23T01:31:55.8250356Z   test_verbose_on (__main__.TestMKLDNNVerbose) ... ok (2.109s)
2022-11-23T01:31:55.8250508Z 
2022-11-23T01:31:55.8250819Z ----------------------------------------------------------------------
2022-11-23T01:31:55.8251211Z Ran 2 tests in 3.856s
2022-11-23T01:31:55.8251330Z 
2022-11-23T01:31:55.8251392Z OK
2022-11-23T01:31:55.8251484Z 
2022-11-23T01:31:55.8251570Z Generating XML reports...
2022-11-23T01:31:55.8252002Z Generated XML report: test-reports/python-unittest/test_mkldnn_verbose/TEST-TestMKLDNNVerbose-20221123013151.xml
2022-11-23T01:31:55.8252289Z 
2022-11-23T01:31:55.8252685Z ##[endgroup]
2022-11-23T01:31:55.8253088Z FINISHED PRINTING LOG FILE of test_mkldnn_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_verbose_zja4t4tq)
2022-11-23T01:31:55.8253310Z 
2022-11-23T01:31:58.3665677Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:31:58.4460162Z Ignoring disabled issues:  []
2022-11-23T01:31:58.4634667Z Running test_model_dump ... [2022-11-23 01:31:58.462942]
2022-11-23T01:31:58.4635618Z Executing ['/opt/conda/bin/python', '-bb', 'test_model_dump.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:31:58.463240]
2022-11-23T01:32:01.3260118Z 
2022-11-23T01:32:01.3260644Z Expand the folded group to see the log file of test_model_dump
2022-11-23T01:32:01.3261668Z ##[group]PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_xdxn9lgo)
2022-11-23T01:32:01.3261891Z 
2022-11-23T01:32:01.3261954Z Running tests...
2022-11-23T01:32:01.3262365Z ----------------------------------------------------------------------
2022-11-23T01:32:01.3262750Z Test results will be stored in test-reports/python-unittest/test_model_dump
2022-11-23T01:32:01.3263053Z   test_inline_skeleton (__main__.TestModelDump) ... ok (0.250s)
2022-11-23T01:32:01.3263308Z   test_invalid_json (__main__.TestModelDump) ... ok (0.019s)
2022-11-23T01:32:01.3263560Z   test_main (__main__.TestModelDump) ... ok (0.015s)
2022-11-23T01:32:01.3263852Z   test_memory_computation (__main__.TestModelDump) ... skip: Webdriver not requested (0.001s)
2022-11-23T01:32:01.3264146Z   test_model_with_lists (__main__.TestModelDump) ... ok (0.004s)
2022-11-23T01:32:01.3264432Z   test_optimized_quantized_model (__main__.TestModelDump) ... ok (0.309s)
2022-11-23T01:32:01.3264714Z   test_quantized_model (__main__.TestModelDump) ... ok (0.234s)
2022-11-23T01:32:01.3264971Z   test_scripted_model (__main__.TestModelDump) ... ok (0.011s)
2022-11-23T01:32:01.3265235Z   test_traced_model (__main__.TestModelDump) ... ok (0.017s)
2022-11-23T01:32:01.3265384Z 
2022-11-23T01:32:01.3265584Z ----------------------------------------------------------------------
2022-11-23T01:32:01.3265828Z Ran 9 tests in 0.862s
2022-11-23T01:32:01.3265930Z 
2022-11-23T01:32:01.3266002Z OK (skipped=1)
2022-11-23T01:32:01.3266106Z 
2022-11-23T01:32:01.3266191Z Generating XML reports...
2022-11-23T01:32:01.3266601Z Generated XML report: test-reports/python-unittest/test_model_dump/TEST-TestModelDump-20221123013200.xml
2022-11-23T01:32:01.3266827Z 
2022-11-23T01:32:01.3267039Z ##[endgroup]
2022-11-23T01:32:01.3267417Z FINISHED PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_xdxn9lgo)
2022-11-23T01:32:01.3267630Z 
2022-11-23T01:32:03.5818337Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:03.6656181Z Ignoring disabled issues:  []
2022-11-23T01:32:03.6826142Z Running test_module_init ... [2022-11-23 01:32:03.682212]
2022-11-23T01:32:03.6827613Z Executing ['/opt/conda/bin/python', '-bb', 'test_module_init.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:03.682500]
2022-11-23T01:32:06.4378828Z 
2022-11-23T01:32:06.4379435Z Expand the folded group to see the log file of test_module_init
2022-11-23T01:32:06.4380285Z ##[group]PRINTING LOG FILE of test_module_init (/var/lib/jenkins/workspace/test/test-reports/test_module_init_du6izibf)
2022-11-23T01:32:06.4380531Z 
2022-11-23T01:32:06.4380607Z Running tests...
2022-11-23T01:32:06.4381020Z ----------------------------------------------------------------------
2022-11-23T01:32:06.4381194Z 
2022-11-23T01:32:06.4381393Z ----------------------------------------------------------------------
2022-11-23T01:32:06.4381822Z Ran 0 tests in 0.000s
2022-11-23T01:32:06.4381938Z 
2022-11-23T01:32:06.4382004Z OK
2022-11-23T01:32:06.4382097Z 
2022-11-23T01:32:06.4382185Z Generating XML reports...
2022-11-23T01:32:06.4382506Z Test results will be stored in test-reports/python-unittest/test_module_init
2022-11-23T01:32:06.4382701Z 
2022-11-23T01:32:06.4382926Z ##[endgroup]
2022-11-23T01:32:06.4383316Z FINISHED PRINTING LOG FILE of test_module_init (/var/lib/jenkins/workspace/test/test-reports/test_module_init_du6izibf)
2022-11-23T01:32:06.4383531Z 
2022-11-23T01:32:08.3953320Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:08.4732082Z Ignoring disabled issues:  []
2022-11-23T01:32:08.4901425Z Running test_monitor ... [2022-11-23 01:32:08.489598]
2022-11-23T01:32:08.4902853Z Executing ['/opt/conda/bin/python', '-bb', 'test_monitor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:08.489906]
2022-11-23T01:32:10.9890955Z 
2022-11-23T01:32:10.9891742Z Expand the folded group to see the log file of test_monitor
2022-11-23T01:32:10.9893846Z ##[group]PRINTING LOG FILE of test_monitor (/var/lib/jenkins/workspace/test/test-reports/test_monitor_nzbalwyg)
2022-11-23T01:32:10.9894283Z 
2022-11-23T01:32:10.9894412Z Running tests...
2022-11-23T01:32:10.9895174Z ----------------------------------------------------------------------
2022-11-23T01:32:10.9895973Z Test results will be stored in test-reports/python-unittest/test_monitor
2022-11-23T01:32:10.9896766Z   test_event_handler (__main__.TestMonitor) ... ok (0.254s)
2022-11-23T01:32:10.9897325Z   test_fixed_count_stat (__main__.TestMonitor) ... ok (0.001s)
2022-11-23T01:32:10.9897862Z   test_interval_stat (__main__.TestMonitor) ... ok (0.002s)
2022-11-23T01:32:10.9898368Z   test_log_event (__main__.TestMonitor) ... ok (0.001s)
2022-11-23T01:32:10.9898950Z   test_event_handler (__main__.TestMonitorTensorboard) ... ok (0.383s)
2022-11-23T01:32:10.9899304Z 
2022-11-23T01:32:10.9899760Z ----------------------------------------------------------------------
2022-11-23T01:32:10.9900248Z Ran 5 tests in 0.641s
2022-11-23T01:32:10.9900483Z 
2022-11-23T01:32:10.9900593Z OK
2022-11-23T01:32:10.9900847Z 
2022-11-23T01:32:10.9901013Z Generating XML reports...
2022-11-23T01:32:10.9901682Z Generated XML report: test-reports/python-unittest/test_monitor/TEST-TestMonitor-20221123013209.xml
2022-11-23T01:32:10.9902408Z Generated XML report: test-reports/python-unittest/test_monitor/TEST-TestMonitorTensorboard-20221123013209.xml
2022-11-23T01:32:10.9902729Z 
2022-11-23T01:32:10.9903061Z ##[endgroup]
2022-11-23T01:32:10.9903562Z FINISHED PRINTING LOG FILE of test_monitor (/var/lib/jenkins/workspace/test/test-reports/test_monitor_nzbalwyg)
2022-11-23T01:32:10.9903963Z 
2022-11-23T01:32:13.4460319Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:13.5248931Z Ignoring disabled issues:  []
2022-11-23T01:32:13.5422019Z Running test_namedtensor ... [2022-11-23 01:32:13.541806]
2022-11-23T01:32:13.5423067Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:13.542099]
2022-11-23T01:32:13.6656371Z 
2022-11-23T01:32:13.6656959Z Expand the folded group to see the log file of test_mkldnn_fusion
2022-11-23T01:32:13.6658034Z ##[group]PRINTING LOG FILE of test_mkldnn_fusion (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_fusion_3mp30eq7)
2022-11-23T01:32:13.6658365Z 
2022-11-23T01:32:13.6658452Z Running tests...
2022-11-23T01:32:13.6658974Z ----------------------------------------------------------------------
2022-11-23T01:32:13.6659496Z Test results will be stored in test-reports/python-unittest/test_mkldnn_fusion
2022-11-23T01:32:13.6660010Z   test_conv_binary_fusion_ops (__main__.TestMkldnnFusion) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:32:13.6660547Z   test_conv_unary_fusion_nnc (__main__.TestMkldnnFusion) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:32:13.6661113Z   test_conv_unary_fusion_ops (__main__.TestMkldnnFusion) ... ok (65.275s)
2022-11-23T01:32:13.6661516Z   test_linear_binary_fusion_ops (__main__.TestMkldnnFusion) ... ok (0.021s)
2022-11-23T01:32:13.6661917Z   test_linear_unary_fusion_ops (__main__.TestMkldnnFusion) ... ok (0.023s)
2022-11-23T01:32:13.6662282Z   test_single_conv (__main__.TestMkldnnFusion) ... ok (1.483s)
2022-11-23T01:32:13.6662660Z   test_unsupported_conv (__main__.TestMkldnnFusion) ... ok (11.949s)
2022-11-23T01:32:13.6662878Z 
2022-11-23T01:32:13.6663155Z ----------------------------------------------------------------------
2022-11-23T01:32:13.6663460Z Ran 7 tests in 78.755s
2022-11-23T01:32:13.6663611Z 
2022-11-23T01:32:13.6663708Z OK (skipped=2)
2022-11-23T01:32:13.6663847Z 
2022-11-23T01:32:13.6663960Z Generating XML reports...
2022-11-23T01:32:13.6664575Z Generated XML report: test-reports/python-unittest/test_mkldnn_fusion/TEST-TestMkldnnFusion-20221123013054.xml
2022-11-23T01:32:13.6664899Z 
2022-11-23T01:32:13.6665239Z ##[endgroup]
2022-11-23T01:32:13.6665776Z FINISHED PRINTING LOG FILE of test_mkldnn_fusion (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_fusion_3mp30eq7)
2022-11-23T01:32:13.6666070Z 
2022-11-23T01:32:15.5883735Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:15.6476270Z Ignoring disabled issues:  []
2022-11-23T01:32:15.6641747Z Running test_native_functions ... [2022-11-23 01:32:15.663885]
2022-11-23T01:32:15.6644329Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_functions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:15.664175]
2022-11-23T01:32:16.4968594Z 
2022-11-23T01:32:16.4969135Z Expand the folded group to see the log file of test_namedtensor
2022-11-23T01:32:16.4970243Z ##[group]PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_ztmkul1b)
2022-11-23T01:32:16.4970652Z 
2022-11-23T01:32:16.4970777Z Running tests...
2022-11-23T01:32:16.4971326Z ----------------------------------------------------------------------
2022-11-23T01:32:16.4972054Z Test results will be stored in test-reports/python-unittest/test_namedtensor
2022-11-23T01:32:16.4972868Z   test_aaa_must_run_first_check_experimental_warning (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:16.4973619Z   test_addcmul_addcdiv (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:16.4974238Z   test_addmm (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T01:32:16.4974829Z   test_addmv (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:16.4975423Z   test_align_as (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4976118Z   test_align_tensors (__main__.TestNamedTensor) ... skip: Not implemented yet (0.001s)
2022-11-23T01:32:16.4977129Z   test_align_tensors_two_inputs (__main__.TestNamedTensor) ... skip: Not implemented yet (0.002s)
2022-11-23T01:32:16.4977858Z   test_align_to (__main__.TestNamedTensor) ... ok (0.009s)
2022-11-23T01:32:16.4978511Z   test_align_to_ellipsis (__main__.TestNamedTensor) ... ok (0.010s)
2022-11-23T01:32:16.4979123Z   test_any_all (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4979731Z   test_as_strided (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4980629Z   test_as_strided_cuda (__main__.TestNamedTensor) ... skip: no CUDA (0.000s)
2022-11-23T01:32:16.4981337Z   test_autograd_ignores_names (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4981980Z   test_autograd_smoke (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4982659Z   test_autograd_warns_named_grad (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4983326Z   test_bernoulli (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4983964Z   test_big_tensor_repr_has_names (__main__.TestNamedTensor) ... ok (0.032s)
2022-11-23T01:32:16.4984612Z   test_binary_ops (__main__.TestNamedTensor) ... ok (0.345s)
2022-11-23T01:32:16.4985364Z   test_bitwise_not (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4985938Z   test_bmm (__main__.TestNamedTensor) ... ok (0.019s)
2022-11-23T01:32:16.4986509Z   test_cat (__main__.TestNamedTensor) ... ok (0.015s)
2022-11-23T01:32:16.4987103Z   test_cdist (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4987740Z   test_comparison_ops (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T01:32:16.4988379Z   test_copy_transpose (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4989007Z   test_cummax_cummin (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4989613Z   test_detach (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4990198Z   test_diagonal (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4990788Z   test_dot (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4991381Z   test_equal (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4991957Z   test_expand (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4992614Z   test_factory_coverage (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T01:32:16.4993294Z   test_factory_edge_cases (__main__.TestNamedTensor) ... ok (0.019s)
2022-11-23T01:32:16.4994021Z   test_flatten (__main__.TestNamedTensor) ... ok (0.011s)
2022-11-23T01:32:16.4994630Z   test_flatten_nodims (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:16.4995273Z   test_has_names (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.4995870Z   test_index_fill (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:16.4997650Z   test_info_smoke (__main__.TestNamedTensor) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:32:16.4998894Z   warnings.warn(message, UserWarning)
2022-11-23T01:32:16.4999351Z ok (0.001s)
2022-11-23T01:32:16.4999880Z   test_logcumsumexp (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5000536Z   test_logical_not (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:16.5001167Z   test_logical_ops (__main__.TestNamedTensor) ... ok (0.004s)
2022-11-23T01:32:16.5001799Z   test_masked_fill (__main__.TestNamedTensor) ... ok (0.018s)
2022-11-23T01:32:16.5002419Z   test_masked_select (__main__.TestNamedTensor) ... ok (0.008s)
2022-11-23T01:32:16.5003050Z   test_matmul (__main__.TestNamedTensor) ... ok (0.023s)
2022-11-23T01:32:16.5003671Z   test_max_pooling (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:16.5004369Z   test_max_pooling_without_names_does_not_warn (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5005048Z   test_mm (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T01:32:16.5005609Z   test_mv (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5006227Z   test_no_jit_script_support (__main__.TestNamedTensor) ... ok (0.048s)
2022-11-23T01:32:16.5006884Z   test_no_jit_tracer_support (__main__.TestNamedTensor) ... ok (0.009s)
2022-11-23T01:32:16.5007575Z   test_no_multiprocessing_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5008294Z   test_no_pickle_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5008925Z   test_no_save_support (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5009720Z   test_noncontig_contiguous (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5010417Z   test_none_names_refcount (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5011125Z   test_nyi_dimname_overload_msg (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:16.5011795Z   test_out_fn_semantics (__main__.TestNamedTensor) ... ok (0.021s)
2022-11-23T01:32:16.5012438Z   test_pow_special (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5013065Z   test_py3_ellipsis (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5013683Z   test_reduction_fns (__main__.TestNamedTensor) ... ok (0.106s)
2022-11-23T01:32:16.5014411Z   test_refine_names (__main__.TestNamedTensor) ... ok (0.009s)
2022-11-23T01:32:16.5015029Z   test_rename (__main__.TestNamedTensor) ... ok (0.008s)
2022-11-23T01:32:16.5015602Z   test_rename_ (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T01:32:16.5016219Z   test_rename_globber (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:16.5017021Z   test_rename_rename_map (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:16.5017660Z   test_repr (__main__.TestNamedTensor) ... ok (0.002s)
2022-11-23T01:32:16.5018229Z   test_resize (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T01:32:16.5018822Z   test_select (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:16.5019467Z   test_select_cuda (__main__.TestNamedTensor) ... skip: no CUDA (0.000s)
2022-11-23T01:32:16.5020138Z   test_set_names_property (__main__.TestNamedTensor) ... ok (0.005s)
2022-11-23T01:32:16.5020767Z   test_size (__main__.TestNamedTensor) ... ok (0.008s)
2022-11-23T01:32:16.5021431Z   test_split_fns_propagates_names (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5022092Z   test_squeeze (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5022689Z   test_stride (__main__.TestNamedTensor) ... ok (0.007s)
2022-11-23T01:32:16.5023327Z   test_tensor_from_lists (__main__.TestNamedTensor) ... ok (0.003s)
2022-11-23T01:32:16.5024699Z   test_tensor_from_named_tensor (__main__.TestNamedTensor) ... /var/lib/jenkins/workspace/test/test_namedtensor.py:516: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:32:16.5025906Z   tensor = torch.tensor(x)
2022-11-23T01:32:16.5027017Z /var/lib/jenkins/workspace/test/test_namedtensor.py:522: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:32:16.5028122Z   tensor = torch.tensor(x, names=None)
2022-11-23T01:32:16.5029261Z /var/lib/jenkins/workspace/test/test_namedtensor.py:527: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:32:16.5030481Z   tensor = torch.tensor(x, names=('N', 'C'))
2022-11-23T01:32:16.5030946Z ok (0.003s)
2022-11-23T01:32:16.5031471Z   test_tensor_from_numpy (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5032817Z   test_tensor_from_tensor (__main__.TestNamedTensor) ... /var/lib/jenkins/workspace/test/test_namedtensor.py:511: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:32:16.5034155Z   tensor = torch.tensor(x, names=names)
2022-11-23T01:32:16.5034604Z ok (0.001s)
2022-11-23T01:32:16.5035164Z   test_tensor_grad_is_unnamed (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5035835Z   test_transpose_variants (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5036487Z   test_trivial (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5037450Z   test_unary_propagate_names_fns (__main__.TestNamedTensor) ... ok (0.018s)
2022-11-23T01:32:16.5038131Z   test_unflatten (__main__.TestNamedTensor) ... ok (0.016s)
2022-11-23T01:32:16.5038795Z   test_unsupported_op_error_msg (__main__.TestNamedTensor) ... ok (0.010s)
2022-11-23T01:32:16.5039572Z   test_using_seen_interned_string_doesnt_bump_refcount (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5040441Z   test_using_unseen_interned_string_bumps_refcount_permanently (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5041241Z   test_using_unseen_uninterned_string_refcounts (__main__.TestNamedTensor) ... ok (0.001s)
2022-11-23T01:32:16.5041671Z 
2022-11-23T01:32:16.5042256Z ----------------------------------------------------------------------
2022-11-23T01:32:16.5042815Z Ran 86 tests in 0.893s
2022-11-23T01:32:16.5043075Z 
2022-11-23T01:32:16.5043232Z OK (skipped=4)
2022-11-23T01:32:16.5043458Z 
2022-11-23T01:32:16.5043648Z Generating XML reports...
2022-11-23T01:32:16.5044653Z Generated XML report: test-reports/python-unittest/test_namedtensor/TEST-TestNamedTensor-20221123013215.xml
2022-11-23T01:32:16.5045218Z 
2022-11-23T01:32:16.5045783Z ##[endgroup]
2022-11-23T01:32:16.5046655Z FINISHED PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_ztmkul1b)
2022-11-23T01:32:16.5047162Z 
2022-11-23T01:32:17.7773525Z 
2022-11-23T01:32:17.7774066Z Expand the folded group to see the log file of test_native_functions
2022-11-23T01:32:17.7775121Z ##[group]PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_ekoqb_02)
2022-11-23T01:32:17.7775632Z 
2022-11-23T01:32:17.7775787Z Running tests...
2022-11-23T01:32:17.7776551Z ----------------------------------------------------------------------
2022-11-23T01:32:17.7777105Z Test results will be stored in test-reports/python-unittest/test_native_functions
2022-11-23T01:32:17.7777544Z   test_intlist_error_with_overload (__main__.TestNativeFunctions) ... ok (0.248s)
2022-11-23T01:32:17.7778084Z   test_optional_filled_intlist (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7778528Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7778935Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7779346Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7779735Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7780128Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7780493Z pad(): argument 'pad' (position 2) must be tuple of ints, not str
2022-11-23T01:32:17.7780712Z ok (0.050s)
2022-11-23T01:32:17.7780934Z   test_optional_floatlist (__main__.TestNativeFunctions) ... ok (0.010s)
2022-11-23T01:32:17.7781244Z   test_optional_floatlist_invalid (__main__.TestNativeFunctions) ... ok (0.007s)
2022-11-23T01:32:17.7781548Z   test_optional_intlist (__main__.TestNativeFunctions) ... ok (0.008s)
2022-11-23T01:32:17.7781846Z   test_optional_intlist_invalid (__main__.TestNativeFunctions) ... ok (0.007s)
2022-11-23T01:32:17.7782130Z   test_string_defaults (__main__.TestNativeFunctions) ... ok (0.007s)
2022-11-23T01:32:17.7782618Z   test_symintlist_error (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7783061Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7783452Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7783855Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7784425Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7784831Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7785179Z pad(): argument 'pad' (position 2) must be tuple of ints, not str
2022-11-23T01:32:17.7785397Z ok (0.002s)
2022-11-23T01:32:17.7785849Z   test_symintlist_error_with_overload (__main__.TestNativeFunctions) ... view() received an invalid combination of arguments - got (tuple), but expected one of:
2022-11-23T01:32:17.7786161Z  * (torch.dtype dtype)
2022-11-23T01:32:17.7786487Z       didn't match because some of the arguments have invalid types: (!tuple of (str,)!)
2022-11-23T01:32:17.7786796Z  * (tuple of ints size)
2022-11-23T01:32:17.7787115Z       didn't match because some of the arguments have invalid types: (!tuple of (str,)!)
2022-11-23T01:32:17.7787280Z 
2022-11-23T01:32:17.7787493Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7787885Z view() received an invalid combination of arguments - got (tuple), but expected one of:
2022-11-23T01:32:17.7788138Z  * (torch.dtype dtype)
2022-11-23T01:32:17.7788455Z       didn't match because some of the arguments have invalid types: (!tuple of (str, int)!)
2022-11-23T01:32:17.7788703Z  * (tuple of ints size)
2022-11-23T01:32:17.7789027Z       didn't match because some of the arguments have invalid types: (!tuple of (str, int)!)
2022-11-23T01:32:17.7789205Z 
2022-11-23T01:32:17.7789426Z view() received an invalid combination of arguments - got (list), but expected one of:
2022-11-23T01:32:17.7789668Z  * (torch.dtype dtype)
2022-11-23T01:32:17.7789985Z       didn't match because some of the arguments have invalid types: (!list of [str]!)
2022-11-23T01:32:17.7790230Z  * (tuple of ints size)
2022-11-23T01:32:17.7790528Z       didn't match because some of the arguments have invalid types: (!list of [str]!)
2022-11-23T01:32:17.7790700Z 
2022-11-23T01:32:17.7790912Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7791298Z view() received an invalid combination of arguments - got (list), but expected one of:
2022-11-23T01:32:17.7791545Z  * (torch.dtype dtype)
2022-11-23T01:32:17.7791858Z       didn't match because some of the arguments have invalid types: (!list of [str, int]!)
2022-11-23T01:32:17.7792105Z  * (tuple of ints size)
2022-11-23T01:32:17.7792423Z       didn't match because some of the arguments have invalid types: (!list of [str, int]!)
2022-11-23T01:32:17.7792589Z 
2022-11-23T01:32:17.7792806Z view() received an invalid combination of arguments - got (str), but expected one of:
2022-11-23T01:32:17.7793056Z  * (torch.dtype dtype)
2022-11-23T01:32:17.7793360Z       didn't match because some of the arguments have invalid types: (!str!)
2022-11-23T01:32:17.7793586Z  * (tuple of ints size)
2022-11-23T01:32:17.7793983Z       didn't match because some of the arguments have invalid types: (!str!)
2022-11-23T01:32:17.7794149Z 
2022-11-23T01:32:17.7794216Z ok (0.002s)
2022-11-23T01:32:17.7794705Z   test_symintlist_error_with_overload_but_is_unique (__main__.TestNativeFunctions) ... set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of:
2022-11-23T01:32:17.7795022Z  * ()
2022-11-23T01:32:17.7795192Z  * (torch.Storage source)
2022-11-23T01:32:17.7795455Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7795685Z  * (Tensor source)
2022-11-23T01:32:17.7795926Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7796095Z 
2022-11-23T01:32:17.7796306Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7796721Z set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of:
2022-11-23T01:32:17.7796963Z  * ()
2022-11-23T01:32:17.7797132Z  * (torch.Storage source)
2022-11-23T01:32:17.7797443Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7797673Z  * (Tensor source)
2022-11-23T01:32:17.7797913Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7798081Z 
2022-11-23T01:32:17.7798322Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of:
2022-11-23T01:32:17.7798556Z  * ()
2022-11-23T01:32:17.7798722Z  * (torch.Storage source)
2022-11-23T01:32:17.7798981Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7799207Z  * (Tensor source)
2022-11-23T01:32:17.7799448Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7799651Z 
2022-11-23T01:32:17.7799863Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7800272Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of:
2022-11-23T01:32:17.7800502Z  * ()
2022-11-23T01:32:17.7800671Z  * (torch.Storage source)
2022-11-23T01:32:17.7800929Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7801152Z  * (Tensor source)
2022-11-23T01:32:17.7801396Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7801563Z 
2022-11-23T01:32:17.7801802Z set_() received an invalid combination of arguments - got (Tensor, int, str), but expected one of:
2022-11-23T01:32:17.7802045Z  * ()
2022-11-23T01:32:17.7802198Z  * (torch.Storage source)
2022-11-23T01:32:17.7802458Z  * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7802699Z  * (Tensor source)
2022-11-23T01:32:17.7802928Z  * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride)
2022-11-23T01:32:17.7803095Z 
2022-11-23T01:32:17.7803161Z ok (0.002s)
2022-11-23T01:32:17.7803604Z   test_vararg_symintlist_error (__main__.TestNativeFunctions) ... rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7804044Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7804441Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7804853Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7805240Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7805623Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7806035Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7806446Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7806832Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7807216Z rand() received an invalid combination of arguments - got (str, int), but expected one of:
2022-11-23T01:32:17.7807645Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7808137Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7808582Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7809000Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7809230Z 
2022-11-23T01:32:17.7809506Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0
2022-11-23T01:32:17.7809902Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2
2022-11-23T01:32:17.7810300Z rand() received an invalid combination of arguments - got (str, int), but expected one of:
2022-11-23T01:32:17.7810716Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7811204Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7811681Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7812108Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7812345Z 
2022-11-23T01:32:17.7812569Z rand() received an invalid combination of arguments - got (str, str, str), but expected one of:
2022-11-23T01:32:17.7813000Z  * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7813488Z  * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7813934Z  * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7814348Z  * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
2022-11-23T01:32:17.7814578Z 
2022-11-23T01:32:17.7814645Z ok (0.002s)
2022-11-23T01:32:17.7814746Z 
2022-11-23T01:32:17.7814952Z ----------------------------------------------------------------------
2022-11-23T01:32:17.7815193Z Ran 11 tests in 0.346s
2022-11-23T01:32:17.7815305Z 
2022-11-23T01:32:17.7815353Z OK
2022-11-23T01:32:17.7815443Z 
2022-11-23T01:32:17.7815527Z Generating XML reports...
2022-11-23T01:32:17.7815959Z Generated XML report: test-reports/python-unittest/test_native_functions/TEST-TestNativeFunctions-20221123013217.xml
2022-11-23T01:32:17.7816200Z 
2022-11-23T01:32:17.7816647Z ##[endgroup]
2022-11-23T01:32:17.7817065Z FINISHED PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_ekoqb_02)
2022-11-23T01:32:17.7817291Z 
2022-11-23T01:32:18.3992507Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:18.4585367Z Ignoring disabled issues:  []
2022-11-23T01:32:18.4754492Z Running test_native_mha ... [2022-11-23 01:32:18.475109]
2022-11-23T01:32:18.4756683Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_mha.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:18.475427]
2022-11-23T01:32:19.7424038Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:19.8011859Z Ignoring disabled issues:  []
2022-11-23T01:32:19.8180693Z Running test_nestedtensor ... [2022-11-23 01:32:19.817712]
2022-11-23T01:32:19.8182221Z Executing ['/opt/conda/bin/python', '-bb', 'test_nestedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:19.817998]
2022-11-23T01:32:20.5463124Z 
2022-11-23T01:32:20.5463702Z Expand the folded group to see the log file of test_native_mha
2022-11-23T01:32:20.5464700Z ##[group]PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_jii_i3rn)
2022-11-23T01:32:20.5464938Z 
2022-11-23T01:32:20.5465001Z Running tests...
2022-11-23T01:32:20.5465402Z ----------------------------------------------------------------------
2022-11-23T01:32:20.5465574Z 
2022-11-23T01:32:20.5465952Z ----------------------------------------------------------------------
2022-11-23T01:32:20.5466178Z Ran 0 tests in 0.000s
2022-11-23T01:32:20.5466291Z 
2022-11-23T01:32:20.5466351Z OK
2022-11-23T01:32:20.5466440Z 
2022-11-23T01:32:20.5466525Z Generating XML reports...
2022-11-23T01:32:20.5466855Z Test results will be stored in test-reports/python-unittest/test_native_mha
2022-11-23T01:32:20.5467020Z 
2022-11-23T01:32:20.5467240Z ##[endgroup]
2022-11-23T01:32:20.5467623Z FINISHED PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_jii_i3rn)
2022-11-23T01:32:20.5467833Z 
2022-11-23T01:32:21.9883530Z 
2022-11-23T01:32:21.9884436Z Expand the folded group to see the log file of test_nestedtensor
2022-11-23T01:32:21.9885885Z ##[group]PRINTING LOG FILE of test_nestedtensor (/var/lib/jenkins/workspace/test/test-reports/test_nestedtensor_owpx_j32)
2022-11-23T01:32:21.9886301Z 
2022-11-23T01:32:21.9886435Z Running tests...
2022-11-23T01:32:21.9887096Z ----------------------------------------------------------------------
2022-11-23T01:32:21.9887853Z Test results will be stored in test-reports/python-unittest/test_nestedtensor
2022-11-23T01:32:21.9888976Z   test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... /var/lib/jenkins/workspace/test/test_nestedtensor.py:113: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:32:21.9890018Z   nested_tensor = torch.nested.nested_tensor(data, dtype=torch.int64)
2022-11-23T01:32:21.9890421Z ok (0.017s)
2022-11-23T01:32:21.9890879Z   test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9891519Z   test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9892143Z   test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.008s)
2022-11-23T01:32:21.9892787Z   test_2d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.013s)
2022-11-23T01:32:21.9893416Z   test_2d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.010s)
2022-11-23T01:32:21.9894037Z   test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.010s)
2022-11-23T01:32:21.9894645Z   test_2d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.006s)
2022-11-23T01:32:21.9895276Z   test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.010s)
2022-11-23T01:32:21.9895902Z   test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.006s)
2022-11-23T01:32:21.9896753Z   test_3d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9897131Z   test_3d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9897580Z   test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9897976Z   test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9898300Z   test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9898638Z   test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9898987Z   test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9908561Z   test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9909065Z   test_3d_nested_tensor_float_batch_size_2_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9909430Z   test_3d_nested_tensor_float_batch_size_2_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9909769Z   test_3d_nested_tensor_float_batch_size_4_max_seq_len_3_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9910127Z   test_3d_nested_tensor_float_batch_size_4_max_seq_len_3_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9910482Z   test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_10 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9910894Z   test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_20 (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9911184Z   test_copy_ (__main__.TestNestedTensor) ... ok (0.007s)
2022-11-23T01:32:21.9911461Z   test_default_nested_tensor (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9911734Z   test_dim (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:21.9911973Z   test_fill_ (__main__.TestNestedTensor) ... ok (0.006s)
2022-11-23T01:32:21.9912238Z   test_is_contiguous (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9912516Z   test_nested_namespace (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:21.9912794Z   test_nested_tensor (__main__.TestNestedTensor) ... ok (0.003s)
2022-11-23T01:32:21.9913068Z   test_nested_tensor_matching_dim (__main__.TestNestedTensor) ... ok (0.006s)
2022-11-23T01:32:21.9913346Z   test_numel (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9913603Z   test_ones_like (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9913954Z   test_repr_string (__main__.TestNestedTensor) ... ok (0.003s)
2022-11-23T01:32:21.9914216Z   test_size (__main__.TestNestedTensor) ... ok (0.003s)
2022-11-23T01:32:21.9914472Z   test_size_dim (__main__.TestNestedTensor) ... ok (0.006s)
2022-11-23T01:32:21.9914717Z   test_stride (__main__.TestNestedTensor) ... ok (0.002s)
2022-11-23T01:32:21.9914967Z   test_to (__main__.TestNestedTensor) ... ok (0.003s)
2022-11-23T01:32:21.9915251Z   test_to_padded_tensor_on_empty_tensor (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:21.9915540Z   test_unbind_0 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:21.9915784Z   test_unbind_1 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:21.9916039Z   test_unbind_3 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:21.9916291Z   test_unbind_4 (__main__.TestNestedTensor) ... ok (0.001s)
2022-11-23T01:32:21.9916534Z   test_unbind_dim (__main__.TestNestedTensor) ... ok (0.004s)
2022-11-23T01:32:21.9916688Z 
2022-11-23T01:32:21.9916934Z ----------------------------------------------------------------------
2022-11-23T01:32:21.9917178Z Ran 45 tests in 0.176s
2022-11-23T01:32:21.9917295Z 
2022-11-23T01:32:21.9917360Z OK
2022-11-23T01:32:21.9917440Z 
2022-11-23T01:32:21.9917525Z Generating XML reports...
2022-11-23T01:32:21.9917967Z Generated XML report: test-reports/python-unittest/test_nestedtensor/TEST-TestNestedTensor-20221123013221.xml
2022-11-23T01:32:21.9918205Z 
2022-11-23T01:32:21.9918495Z ##[endgroup]
2022-11-23T01:32:21.9918876Z FINISHED PRINTING LOG FILE of test_nestedtensor (/var/lib/jenkins/workspace/test/test-reports/test_nestedtensor_owpx_j32)
2022-11-23T01:32:21.9919099Z 
2022-11-23T01:32:22.4480532Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:22.5272867Z Ignoring disabled issues:  []
2022-11-23T01:32:22.5441886Z Running test_numba_integration ... [2022-11-23 01:32:22.543885]
2022-11-23T01:32:22.5443822Z Executing ['/opt/conda/bin/python', '-bb', 'test_numba_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:22.544170]
2022-11-23T01:32:23.9577462Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:24.0170517Z Ignoring disabled issues:  []
2022-11-23T01:32:24.0339366Z Running test_numpy_interop ... [2022-11-23 01:32:24.033589]
2022-11-23T01:32:24.0341524Z Executing ['/opt/conda/bin/python', '-bb', 'test_numpy_interop.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:24.033860]
2022-11-23T01:32:24.5055215Z 
2022-11-23T01:32:24.5061013Z Expand the folded group to see the log file of test_numba_integration
2022-11-23T01:32:24.5066667Z ##[group]PRINTING LOG FILE of test_numba_integration (/var/lib/jenkins/workspace/test/test-reports/test_numba_integration_wlz2q35u)
2022-11-23T01:32:24.5079688Z 
2022-11-23T01:32:24.5079899Z Running tests...
2022-11-23T01:32:24.5080649Z ----------------------------------------------------------------------
2022-11-23T01:32:24.5081710Z Test results will be stored in test-reports/python-unittest/test_numba_integration
2022-11-23T01:32:24.5082320Z   test_active_device (__main__.TestNumbaIntegration)
2022-11-23T01:32:24.5083059Z 'as_cuda_array' tensor device must match active numba context. ... skip: No cuda (0.001s)
2022-11-23T01:32:24.5083650Z   test_array_adaptor (__main__.TestNumbaIntegration)
2022-11-23T01:32:24.5084241Z Torch __cuda_array_adaptor__ exposes tensor data to numba.cuda. ... skip: No cuda (0.001s)
2022-11-23T01:32:24.5084822Z   test_conversion_errors (__main__.TestNumbaIntegration)
2022-11-23T01:32:24.5085445Z Numba properly detects array interface for tensor.Tensor variants. ... skip: No cuda (0.001s)
2022-11-23T01:32:24.5086066Z   test_cuda_array_interface (__main__.TestNumbaIntegration)
2022-11-23T01:32:24.5086676Z torch.Tensor exposes __cuda_array_interface__ for cuda tensors. ... skip: No cuda (0.001s)
2022-11-23T01:32:24.5087270Z   test_from_cuda_array_interface (__main__.TestNumbaIntegration)
2022-11-23T01:32:24.5088116Z torch.as_tensor() and torch.tensor() supports the __cuda_array_interface__ protocol. ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.001s)
2022-11-23T01:32:24.5088946Z   test_from_cuda_array_interface_active_device (__main__.TestNumbaIntegration)
2022-11-23T01:32:24.5089761Z torch.as_tensor() tensor device must match active numba context. ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.001s)
2022-11-23T01:32:24.5090536Z   test_from_cuda_array_interface_inferred_strides (__main__.TestNumbaIntegration)
2022-11-23T01:32:24.5091216Z torch.as_tensor(numba_ary) should have correct inferred (contiguous) strides ... skip: No cuda (0.001s)
2022-11-23T01:32:24.5091872Z   test_from_cuda_array_interface_lifetime (__main__.TestNumbaIntegration)
2022-11-23T01:32:24.5092726Z torch.as_tensor(obj) tensor grabs a reference to obj so that the lifetime of obj exceeds the tensor ... skip: Test is temporary disabled, see https://github.com/pytorch/pytorch/issues/54418 (0.000s)
2022-11-23T01:32:24.5093292Z 
2022-11-23T01:32:24.5093684Z ----------------------------------------------------------------------
2022-11-23T01:32:24.5094150Z Ran 8 tests in 0.007s
2022-11-23T01:32:24.5094372Z 
2022-11-23T01:32:24.5094509Z OK (skipped=8)
2022-11-23T01:32:24.5094718Z 
2022-11-23T01:32:24.5094867Z Generating XML reports...
2022-11-23T01:32:24.5095747Z Generated XML report: test-reports/python-unittest/test_numba_integration/TEST-TestNumbaIntegration-20221123013224.xml
2022-11-23T01:32:24.5100335Z 
2022-11-23T01:32:24.5105828Z ##[endgroup]
2022-11-23T01:32:24.5111589Z FINISHED PRINTING LOG FILE of test_numba_integration (/var/lib/jenkins/workspace/test/test-reports/test_numba_integration_wlz2q35u)
2022-11-23T01:32:24.5116986Z 
2022-11-23T01:32:26.0180376Z 
2022-11-23T01:32:26.0180980Z Expand the folded group to see the log file of test_numpy_interop
2022-11-23T01:32:26.0182100Z ##[group]PRINTING LOG FILE of test_numpy_interop (/var/lib/jenkins/workspace/test/test-reports/test_numpy_interop_zzzg5ej3)
2022-11-23T01:32:26.0182553Z 
2022-11-23T01:32:26.0182684Z Running tests...
2022-11-23T01:32:26.0183335Z ----------------------------------------------------------------------
2022-11-23T01:32:26.0183633Z 
2022-11-23T01:32:26.0184189Z ----------------------------------------------------------------------
2022-11-23T01:32:26.0184632Z Ran 0 tests in 0.000s
2022-11-23T01:32:26.0184837Z 
2022-11-23T01:32:26.0184950Z OK
2022-11-23T01:32:26.0185097Z 
2022-11-23T01:32:26.0185227Z Generating XML reports...
2022-11-23T01:32:26.0185859Z Test results will be stored in test-reports/python-unittest/test_numpy_interop
2022-11-23T01:32:26.0186060Z 
2022-11-23T01:32:26.0186299Z ##[endgroup]
2022-11-23T01:32:26.0186690Z FINISHED PRINTING LOG FILE of test_numpy_interop (/var/lib/jenkins/workspace/test/test-reports/test_numpy_interop_zzzg5ej3)
2022-11-23T01:32:26.0186911Z 
2022-11-23T01:32:26.4638302Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:26.5232930Z Ignoring disabled issues:  []
2022-11-23T01:32:26.5403088Z Running test_nvfuser_dynamo ... [2022-11-23 01:32:26.539925]
2022-11-23T01:32:26.5404194Z Executing ['/opt/conda/bin/python', '-bb', 'test_nvfuser_dynamo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:26.540185]
2022-11-23T01:32:28.0097960Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:28.0706948Z Ignoring disabled issues:  []
2022-11-23T01:32:28.0876376Z Running test_nvfuser_frontend ... [2022-11-23 01:32:28.087313]
2022-11-23T01:32:28.0877573Z Executing ['/opt/conda/bin/python', '-bb', 'test_nvfuser_frontend.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:28.087582]
2022-11-23T01:32:28.4462386Z 
2022-11-23T01:32:28.4462858Z Expand the folded group to see the log file of test_nvfuser_dynamo
2022-11-23T01:32:28.4463794Z ##[group]PRINTING LOG FILE of test_nvfuser_dynamo (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_dynamo_3l0a9_x4)
2022-11-23T01:32:28.4464092Z 
2022-11-23T01:32:28.4464213Z Running tests...
2022-11-23T01:32:28.4464971Z ----------------------------------------------------------------------
2022-11-23T01:32:28.4465918Z   test_basic (__main__.TestNvFuserDynamo) ... Test results will be stored in test-reports/python-unittest/test_nvfuser_dynamo
2022-11-23T01:32:28.4466580Z skip: requires CUDA (0.001s)
2022-11-23T01:32:28.4467178Z   test_batch_norm_implicit_dtype_promotion (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:28.4467900Z   test_dtype_correctness (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.000s)
2022-11-23T01:32:28.4468536Z   test_min_cut (__main__.TestNvFuserDynamo) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:28.4468900Z 
2022-11-23T01:32:28.4469291Z ----------------------------------------------------------------------
2022-11-23T01:32:28.4469723Z Ran 4 tests in 0.003s
2022-11-23T01:32:28.4469919Z 
2022-11-23T01:32:28.4470039Z OK (skipped=4)
2022-11-23T01:32:28.4470228Z 
2022-11-23T01:32:28.4470331Z Generating XML reports...
2022-11-23T01:32:28.4470819Z Generated XML report: test-reports/python-unittest/test_nvfuser_dynamo/TEST-TestNvFuserDynamo-20221123013228.xml
2022-11-23T01:32:28.4471102Z 
2022-11-23T01:32:28.4471426Z ##[endgroup]
2022-11-23T01:32:28.4471958Z FINISHED PRINTING LOG FILE of test_nvfuser_dynamo (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_dynamo_3l0a9_x4)
2022-11-23T01:32:28.4472182Z 
2022-11-23T01:32:29.8060535Z 
2022-11-23T01:32:29.8061062Z Expand the folded group to see the log file of test_nvfuser_frontend
2022-11-23T01:32:29.8062333Z ##[group]PRINTING LOG FILE of test_nvfuser_frontend (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_frontend_sgm_4_hk)
2022-11-23T01:32:29.8062764Z 
2022-11-23T01:32:29.8062894Z Running tests...
2022-11-23T01:32:29.8063544Z ----------------------------------------------------------------------
2022-11-23T01:32:29.8064406Z   test_basic (__main__.TestNvFuserFrontend) ... Test results will be stored in test-reports/python-unittest/test_nvfuser_frontend
2022-11-23T01:32:29.8064935Z skip: requires CUDA (0.001s)
2022-11-23T01:32:29.8065372Z   test_basic_fp16 (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:29.8065922Z   test_broadcast_mixing (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:29.8066689Z   test_cast_double_to_half (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:29.8067284Z   test_explicit_broadcast_input (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:29.8067840Z   test_implicit_broadcast_input (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:29.8068384Z   test_ops_broadcast (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:29.8068927Z   test_prim_layer_norm_fwd (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.003s)
2022-11-23T01:32:29.8069476Z   test_prim_rms_norm_fwd (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.002s)
2022-11-23T01:32:29.8070161Z   test_promote_to_double (__main__.TestNvFuserFrontend) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:29.8070477Z 
2022-11-23T01:32:29.8070877Z ----------------------------------------------------------------------
2022-11-23T01:32:29.8071290Z Ran 10 tests in 0.010s
2022-11-23T01:32:29.8071494Z 
2022-11-23T01:32:29.8071625Z OK (skipped=10)
2022-11-23T01:32:29.8071819Z 
2022-11-23T01:32:29.8071964Z Generating XML reports...
2022-11-23T01:32:29.8072729Z Generated XML report: test-reports/python-unittest/test_nvfuser_frontend/TEST-TestNvFuserFrontend-20221123013229.xml
2022-11-23T01:32:29.8073156Z 
2022-11-23T01:32:29.8073586Z ##[endgroup]
2022-11-23T01:32:29.8074381Z FINISHED PRINTING LOG FILE of test_nvfuser_frontend (/var/lib/jenkins/workspace/test/test-reports/test_nvfuser_frontend_sgm_4_hk)
2022-11-23T01:32:29.8074780Z 
2022-11-23T01:32:30.3975323Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:30.4756793Z Ignoring disabled issues:  []
2022-11-23T01:32:30.4925323Z Running test_openmp ... [2022-11-23 01:32:30.492240]
2022-11-23T01:32:30.4926982Z Executing ['/opt/conda/bin/python', '-bb', 'test_openmp.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:30.492500]
2022-11-23T01:32:31.7296421Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:31.7881505Z Ignoring disabled issues:  []
2022-11-23T01:32:31.8052556Z Running test_optim ... [2022-11-23 01:32:31.804911]
2022-11-23T01:32:31.8053948Z Executing ['/opt/conda/bin/python', '-bb', 'test_optim.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:31.805180]
2022-11-23T01:32:35.3687235Z 
2022-11-23T01:32:35.3687739Z Expand the folded group to see the log file of test_openmp
2022-11-23T01:32:35.3688781Z ##[group]PRINTING LOG FILE of test_openmp (/var/lib/jenkins/workspace/test/test-reports/test_openmp_rukgde2p)
2022-11-23T01:32:35.3689204Z 
2022-11-23T01:32:35.3689359Z Running tests...
2022-11-23T01:32:35.3690029Z ----------------------------------------------------------------------
2022-11-23T01:32:35.3690713Z Test results will be stored in test-reports/python-unittest/test_openmp
2022-11-23T01:32:35.3691240Z   test_n_threads (__main__.TestOpenMP_ParallelFor)
2022-11-23T01:32:35.3691624Z Make sure there is no memory leak with many threads ... ok (1.168s)
2022-11-23T01:32:35.3691993Z   test_one_thread (__main__.TestOpenMP_ParallelFor)
2022-11-23T01:32:35.3692507Z Make sure there is no memory leak with one thread: issue gh-32284 ... ok (1.967s)
2022-11-23T01:32:35.3692700Z 
2022-11-23T01:32:35.3692902Z ----------------------------------------------------------------------
2022-11-23T01:32:35.3693131Z Ran 2 tests in 3.135s
2022-11-23T01:32:35.3693244Z 
2022-11-23T01:32:35.3693305Z OK
2022-11-23T01:32:35.3693397Z 
2022-11-23T01:32:35.3693481Z Generating XML reports...
2022-11-23T01:32:35.3693876Z Generated XML report: test-reports/python-unittest/test_openmp/TEST-TestOpenMP_ParallelFor-20221123013231.xml
2022-11-23T01:32:35.3694114Z 
2022-11-23T01:32:35.3694363Z ##[endgroup]
2022-11-23T01:32:35.3694733Z FINISHED PRINTING LOG FILE of test_openmp (/var/lib/jenkins/workspace/test/test-reports/test_openmp_rukgde2p)
2022-11-23T01:32:35.3694942Z 
2022-11-23T01:32:37.2799606Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:37.3638928Z Ignoring disabled issues:  []
2022-11-23T01:32:37.3811089Z Running test_package ... [2022-11-23 01:32:37.380796]
2022-11-23T01:32:37.3812802Z Executing ['/opt/conda/bin/python', '-bb', 'test_package.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:37.381085]
2022-11-23T01:32:41.6327792Z 
2022-11-23T01:32:41.6328180Z Expand the folded group to see the log file of test_package
2022-11-23T01:32:41.6328877Z ##[group]PRINTING LOG FILE of test_package (/var/lib/jenkins/workspace/test/test-reports/test_package_mwez6e97)
2022-11-23T01:32:41.6329100Z 
2022-11-23T01:32:41.6329352Z Running tests...
2022-11-23T01:32:41.6329805Z ----------------------------------------------------------------------
2022-11-23T01:32:41.6330179Z Test results will be stored in test-reports/python-unittest/test_package
2022-11-23T01:32:41.6331139Z   test_trace_dependencies (test_analyze.TestAnalyze) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81213 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.222s)
2022-11-23T01:32:41.6331771Z   test_allow_empty_with_error (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6332129Z If an error occurs during packaging, it should not be shadowed by the allow_empty error. ... ok (0.002s)
2022-11-23T01:32:41.6332470Z   test_broken_dependency (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6332808Z A unpackageable dependency should raise a PackagingError. ... ok (0.002s)
2022-11-23T01:32:41.6333111Z   test_deny (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6333436Z Test marking packages as "deny" during export. ... ok (0.002s)
2022-11-23T01:32:41.6333700Z   test_deny_glob (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6334036Z Test marking packages as "deny" using globs instead of package names. ... ok (0.002s)
2022-11-23T01:32:41.6334371Z   test_extern (test_dependency_api.TestDependencyAPI) ... ok (0.001s)
2022-11-23T01:32:41.6334680Z   test_extern_glob (test_dependency_api.TestDependencyAPI) ... ok (0.002s)
2022-11-23T01:32:41.6335036Z   test_extern_glob_allow_empty (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6335371Z Test that an error is thrown when a extern glob is specified with allow_empty=True ... ok (0.001s)
2022-11-23T01:32:41.6335886Z   test_externing_c_extension (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6336856Z Externing c extensions modules should allow us to still access them especially those found in torch._C. ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:32:41.6337445Z   warnings.warn(message, UserWarning)
2022-11-23T01:32:41.6337646Z ok (0.007s)
2022-11-23T01:32:41.6337883Z   test_implicit_intern (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6338234Z The save_module APIs should implicitly intern the module being saved. ... ok (0.001s)
2022-11-23T01:32:41.6338543Z   test_intern_error (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6338892Z Failure to handle all dependencies should lead to an error. ... ok (0.002s)
2022-11-23T01:32:41.6339178Z   test_invalid_import (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6339555Z An incorrectly-formed import should raise a PackagingError. ... ok (0.001s)
2022-11-23T01:32:41.6339914Z   test_mock (test_dependency_api.TestDependencyAPI) ... ok (0.002s)
2022-11-23T01:32:41.6340216Z   test_mock_glob (test_dependency_api.TestDependencyAPI) ... ok (0.002s)
2022-11-23T01:32:41.6340513Z   test_mock_glob_allow_empty (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6340930Z Test that an error is thrown when a mock glob is specified with allow_empty=True ... ok (0.001s)
2022-11-23T01:32:41.6341314Z   test_pickle_mocked (test_dependency_api.TestDependencyAPI) ... ok (0.001s)
2022-11-23T01:32:41.6341631Z   test_pickle_mocked_all (test_dependency_api.TestDependencyAPI) ... ok (0.001s)
2022-11-23T01:32:41.6341958Z   test_repackage_mocked_module (test_dependency_api.TestDependencyAPI)
2022-11-23T01:32:41.6342369Z Re-packaging a package that contains a mocked module should work correctly. ... ok (0.003s)
2022-11-23T01:32:41.6342721Z   test_extern_and_mock_hook (test_dependency_hooks.TestDependencyHooks) ... ok (0.002s)
2022-11-23T01:32:41.6343052Z   test_multiple_extern_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2022-11-23T01:32:41.6343503Z   test_multiple_mock_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2022-11-23T01:32:41.6343838Z   test_remove_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2022-11-23T01:32:41.6344150Z   test_single_hook (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s)
2022-11-23T01:32:41.6344449Z   test_all_paths (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6344722Z   test_contains (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6345009Z   test_contains_non_hashable (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6345275Z   test_edges (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6345548Z   test_forward_closure (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6345821Z   test_iter (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6346082Z   test_node_attr_update (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6346363Z   test_node_attrs (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6346749Z   test_predecessor_not_in_graph (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6347081Z   test_predecessors (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6347380Z   test_successor_not_in_graph (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6347671Z   test_successors (test_digraph.TestDiGraph) ... ok (0.001s)
2022-11-23T01:32:41.6347982Z   test_importer_access (test_directory_reader.DirectoryReaderTest) ... ok (0.004s)
2022-11-23T01:32:41.6348295Z   test_loading_has_record (test_directory_reader.DirectoryReaderTest)
2022-11-23T01:32:41.6348638Z Test DirectoryReader's has_record(). ... ok (0.003s)
2022-11-23T01:32:41.6348925Z   test_loading_module (test_directory_reader.DirectoryReaderTest)
2022-11-23T01:32:41.6349230Z Test basic saving and loading of a packages from a DirectoryReader. ... ok (0.003s)
2022-11-23T01:32:41.6349549Z   test_loading_pickle (test_directory_reader.DirectoryReaderTest)
2022-11-23T01:32:41.6349984Z Test basic saving and loading of modules and pickles from a DirectoryReader. ... skip: Does not work with latest TorchVision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s)
2022-11-23T01:32:41.6350413Z   test_package_resource_access (test_directory_reader.DirectoryReaderTest)
2022-11-23T01:32:41.6350743Z Packaged modules should be able to use the importlib.resources API to access ... ok (0.003s)
2022-11-23T01:32:41.6351081Z   test_resource_access_by_path (test_directory_reader.DirectoryReaderTest)
2022-11-23T01:32:41.6351411Z Tests that packaged code can used importlib.resources.path. ... ok (0.004s)
2022-11-23T01:32:41.6351717Z   test_resource_reader (test_directory_reader.DirectoryReaderTest)
2022-11-23T01:32:41.6352023Z Tests DirectoryReader as the base for get_resource_reader. ... ok (0.006s)
2022-11-23T01:32:41.6352344Z   test_scriptobject_failure_message (test_directory_reader.DirectoryReaderTest)
2022-11-23T01:32:41.6352671Z Test basic saving and loading of a ScriptModule in a directory. ... ok (0.010s)
2022-11-23T01:32:41.6352954Z   test_exclude (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6353240Z   test_exclude_from_all (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6353529Z   test_invalid_raw (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6353915Z   test_list_include_exclude (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6354271Z   test_one_star (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6354559Z   test_one_star_middle (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6354871Z   test_one_star_multiple_in_component (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6355171Z   test_one_star_partial (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6355480Z   test_one_star_partial_extension (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6355821Z   test_raw_two_star (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6356089Z   test_two_star (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6356369Z   test_two_star_end (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6356659Z   test_two_star_middle (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6356943Z   test_two_star_multiple (test_glob_group.TestGlobGroup) ... ok (0.001s)
2022-11-23T01:32:41.6357249Z   test_ordered_importer_basic (test_importer.TestImporter) ... ok (0.001s)
2022-11-23T01:32:41.6357558Z   test_ordered_importer_whichmodule (test_importer.TestImporter)
2022-11-23T01:32:41.6357950Z OrderedImporter's implementation of whichmodule should try each ... ok (0.001s)
2022-11-23T01:32:41.6358272Z   test_package_importer_whichmodule_no_dunder_module (test_importer.TestImporter)
2022-11-23T01:32:41.6389817Z Exercise corner case where we try to pickle an object whose ... ok (0.001s)
2022-11-23T01:32:41.6390273Z   test_single_ordered_importer (test_importer.TestImporter) ... ok (0.001s)
2022-11-23T01:32:41.6390710Z   test_sys_importer (test_importer.TestImporter) ... ok (0.001s)
2022-11-23T01:32:41.6391090Z   test_sys_importer_roundtrip (test_importer.TestImporter) ... ok (0.001s)
2022-11-23T01:32:41.6391515Z   test_load_bc_packages_fx_module (test_load_bc_packages.TestLoadBCPackages)
2022-11-23T01:32:41.6391914Z Tests for backwards compatible fx module ... ok (0.012s)
2022-11-23T01:32:41.6392290Z   test_load_bc_packages_nn_module (test_load_bc_packages.TestLoadBCPackages)
2022-11-23T01:32:41.6392682Z Tests for backwards compatible nn module ... ok (0.008s)
2022-11-23T01:32:41.6393092Z   test_load_bc_packages_torchscript_module (test_load_bc_packages.TestLoadBCPackages)
2022-11-23T01:32:41.6393514Z Tests for backwards compatible torchscript module ... ok (0.035s)
2022-11-23T01:32:41.6393901Z   test_demangle_base (test_mangling.TestMangling)
2022-11-23T01:32:41.6394302Z Demangling a mangle parent directly should currently return an empty string. ... ok (0.001s)
2022-11-23T01:32:41.6394726Z   test_demangler_multiple_manglers (test_mangling.TestMangling)
2022-11-23T01:32:41.6395148Z PackageDemangler should be able to demangle name generated by any PackageMangler. ... ok (0.001s)
2022-11-23T01:32:41.6395569Z   test_is_mangled (test_mangling.TestMangling) ... ok (0.001s)
2022-11-23T01:32:41.6395954Z   test_mangle_empty_errors (test_mangling.TestMangling) ... ok (0.001s)
2022-11-23T01:32:41.6396338Z   test_mangle_prefix (test_mangling.TestMangling) ... ok (0.001s)
2022-11-23T01:32:41.6396689Z   test_mangler_is_consistent (test_mangling.TestMangling)
2022-11-23T01:32:41.6397164Z Mangling the same name twice should produce the same result. ... ok (0.001s)
2022-11-23T01:32:41.6397556Z   test_package_mangler (test_mangling.TestMangling) ... ok (0.001s)
2022-11-23T01:32:41.6397925Z   test_roundtrip_mangling (test_mangling.TestMangling) ... ok (0.001s)
2022-11-23T01:32:41.6398296Z   test_unique_manglers (test_mangling.TestMangling)
2022-11-23T01:32:41.6398702Z Each mangler instance should generate a unique mangled name for a given input. ... ok (0.001s)
2022-11-23T01:32:41.6399105Z   test_unique_module_names (test_mangling.TestMangling) ... ok (0.002s)
2022-11-23T01:32:41.6399470Z   test_dunder_package_present (test_misc.TestMisc)
2022-11-23T01:32:41.6400172Z The attribute '__torch_package__' should be populated on imported modules. ... ok (0.001s)
2022-11-23T01:32:41.6400583Z   test_dunder_package_works_from_package (test_misc.TestMisc)
2022-11-23T01:32:41.6401054Z The attribute '__torch_package__' should be accessible from within ... ok (0.002s)
2022-11-23T01:32:41.6401421Z   test_exporter_content_lists (test_misc.TestMisc)
2022-11-23T01:32:41.6401889Z Test content list API for PackageExporter's contained modules. ... ok (0.003s)
2022-11-23T01:32:41.6402229Z   test_file_structure (test_misc.TestMisc)
2022-11-23T01:32:41.6402703Z Tests package's Directory structure representation of a zip file. Ensures ... ok (0.003s)
2022-11-23T01:32:41.6403140Z   test_file_structure_has_file (test_misc.TestMisc)
2022-11-23T01:32:41.6403528Z Test Directory's has_file() method. ... ok (0.001s)
2022-11-23T01:32:41.6403819Z   test_inspect_class (test_misc.TestMisc)
2022-11-23T01:32:41.6404161Z Should be able to retrieve source for a packaged class. ... ok (0.002s)
2022-11-23T01:32:41.6404504Z   test_is_from_package (test_misc.TestMisc)
2022-11-23T01:32:41.6404831Z is_from_package should work for objects and modules ... ok (0.001s)
2022-11-23T01:32:41.6405198Z   test_load_python_version_from_package (test_misc.TestMisc)
2022-11-23T01:32:41.6405573Z Tests loading a package with a python version embdded ... ok (0.003s)
2022-11-23T01:32:41.6405896Z   test_python_version (test_misc.TestMisc)
2022-11-23T01:32:41.6406280Z Tests that the current python version is stored in the package and is available ... ok (0.003s)
2022-11-23T01:32:41.6406668Z   test_std_lib_sys_hackery_checks (test_misc.TestMisc)
2022-11-23T01:32:41.6407046Z The standard library performs sys.module assignment hackery which ... ok (0.003s)
2022-11-23T01:32:41.6407566Z   test_model_save (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s)
2022-11-23T01:32:41.6408169Z   test_resnet (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s)
2022-11-23T01:32:41.6408765Z   test_script_resnet (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s)
2022-11-23T01:32:41.6409251Z   test_package_fx_custom_tracer (test_package_fx.TestPackageFX) ... ok (0.010s)
2022-11-23T01:32:41.6409652Z   test_package_fx_package (test_package_fx.TestPackageFX) ... ok (0.017s)
2022-11-23T01:32:41.6410036Z   test_package_fx_simple (test_package_fx.TestPackageFX) ... ok (0.006s)
2022-11-23T01:32:41.6410419Z   test_package_fx_with_imports (test_package_fx.TestPackageFX) ... ok (0.005s)
2022-11-23T01:32:41.6410809Z   test_package_then_fx (test_package_fx.TestPackageFX) ... ok (0.005s)
2022-11-23T01:32:41.6493750Z   test_different_package_interface (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6494234Z Test a case where the interface defined in the package is ... ok (0.013s)
2022-11-23T01:32:41.6494715Z   test_different_package_script_class (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6495134Z Test a case where the script class defined in the package is ... ok (0.006s)
2022-11-23T01:32:41.6495544Z   test_load_shared_scriptmodules (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6495948Z Test loading of single ScriptModule shared by multiple eager ... ok (0.008s)
2022-11-23T01:32:41.6496353Z   test_load_shared_tensors (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6496857Z Test tensors shared across eager and ScriptModules on load ... ok (0.009s)
2022-11-23T01:32:41.6497261Z   test_load_shared_tensors_repackaged (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6497681Z Test tensors shared across eager and ScriptModules on load ... ok (0.012s)
2022-11-23T01:32:41.6498102Z   test_mixing_packaged_and_inline_modules (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6498521Z Test saving inline and imported modules in same package with ... ok (0.048s)
2022-11-23T01:32:41.6499051Z   test_mixing_packaged_and_inline_modules_shared_code (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6499485Z Test saving inline and imported modules in same package that ... ok (1.061s)
2022-11-23T01:32:41.6499883Z   test_package_interface (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6500254Z Packaging an interface class should work correctly. ... ok (0.041s)
2022-11-23T01:32:41.6500666Z   test_package_script_class (test_package_script.TestPackageScript) ... ok (0.005s)
2022-11-23T01:32:41.6501139Z   test_package_script_class_referencing_self (test_package_script.TestPackageScript) ... ok (0.013s)
2022-11-23T01:32:41.6501606Z   test_save_eager_mods_sharing_scriptmodule (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6502062Z Test saving of single ScriptModule shared by multiple ... ok (0.005s)
2022-11-23T01:32:41.6502478Z   test_save_independent_scriptmodules (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6502901Z Test to verify saving multiple ScriptModules with completely ... ok (0.009s)
2022-11-23T01:32:41.6503302Z   test_save_repeat_scriptmodules (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6503701Z Test to verify saving multiple different modules and ... ok (0.043s)
2022-11-23T01:32:41.6504089Z   test_save_scriptmodule (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6504447Z Test basic saving of ScriptModule. ... ok (0.004s)
2022-11-23T01:32:41.6504801Z   test_save_scriptmodule_file (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6505177Z Test basic saving of ScriptModule in file. ... ok (0.004s)
2022-11-23T01:32:41.6505577Z   test_save_scriptmodule_only_necessary_code (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6505990Z Test to verify when saving multiple packages with same CU ... ok (0.437s)
2022-11-23T01:32:41.6506402Z   test_save_scriptmodule_with_submods (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6506802Z Test basic saving of ScriptModule with submodule. ... ok (0.007s)
2022-11-23T01:32:41.6507195Z   test_save_scriptmodules_in_container (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6507630Z Test saving of ScriptModules inside of container. Checks that relations ... ok (0.036s)
2022-11-23T01:32:41.6508078Z   test_save_scriptmodules_submod_redefinition (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6508514Z Test to verify saving multiple ScriptModules with same top module ... ok (0.013s)
2022-11-23T01:32:41.6508900Z   test_save_shared_tensors (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6509321Z Test tensors shared across eager and ScriptModules are serialized once. ... ok (0.007s)
2022-11-23T01:32:41.6509756Z   test_saving_and_scripting_packaged_mod (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6510161Z Test scripting a module loaded from a package ... ok (0.009s)
2022-11-23T01:32:41.6510548Z   test_scriptmodules_repeat_save (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6510963Z Test to verify saving and loading same ScriptModule object works ... ok (0.011s)
2022-11-23T01:32:41.6511374Z   test_tensor_sharing_pickle (test_package_script.TestPackageScript)
2022-11-23T01:32:41.6511763Z Test that saving a ScriptModule and a separately saving a tensor ... ok (0.005s)
2022-11-23T01:32:41.6512209Z   test_repackage_import_indirectly_via_parent_module (test_repackage.TestRepackage) ... ok (0.006s)
2022-11-23T01:32:41.6512641Z   test_importer_access (test_resources.TestResources) ... ok (0.002s)
2022-11-23T01:32:41.6513012Z   test_package_resource_access (test_resources.TestResources)
2022-11-23T01:32:41.6513432Z Packaged modules should be able to use the importlib.resources API to access ... ok (0.001s)
2022-11-23T01:32:41.6513909Z   test_resource_access_by_path (test_resources.TestResources)
2022-11-23T01:32:41.6514313Z Tests that packaged code can used importlib.resources.path. ... ok (0.002s)
2022-11-23T01:32:41.6514686Z   test_resource_reader (test_resources.TestResources)
2022-11-23T01:32:41.6515105Z Test compliance with the get_resource_reader importlib API. ... ok (0.003s)
2022-11-23T01:32:41.6515476Z   test_bad_dunder_imports (test_save_load.TestSaveLoad)
2022-11-23T01:32:41.6516001Z Test to ensure bad __imports__ don't cause PackageExporter to fail. ... ok (0.001s)
2022-11-23T01:32:41.6516393Z   test_dunder_imports (test_save_load.TestSaveLoad) ... ok (0.003s)
2022-11-23T01:32:41.6516764Z   test_exporting_mismatched_code (test_save_load.TestSaveLoad)
2022-11-23T01:32:41.6517156Z If an object with the same qualified name is loaded from different ... ok (0.005s)
2022-11-23T01:32:41.6517524Z   test_pickle (test_save_load.TestSaveLoad) ... ok (0.003s)
2022-11-23T01:32:41.6517875Z   test_save_imported_module (test_save_load.TestSaveLoad)
2022-11-23T01:32:41.6518295Z Saving a module that came from another PackageImporter should work. ... ok (0.003s)
2022-11-23T01:32:41.6518706Z   test_save_imported_module_using_package_importer (test_save_load.TestSaveLoad)
2022-11-23T01:32:41.6519265Z Exercise a corner case: re-packaging a module that uses `torch_package_importer` ... ok (0.003s)
2022-11-23T01:32:41.6519675Z   test_save_module (test_save_load.TestSaveLoad) ... ok (0.002s)
2022-11-23T01:32:41.6520032Z   test_save_module_binary (test_save_load.TestSaveLoad) ... ok (0.001s)
2022-11-23T01:32:41.6520406Z   test_saving_source (test_save_load.TestSaveLoad) ... ok (0.005s)
2022-11-23T01:32:41.6520771Z   test_saving_string (test_save_load.TestSaveLoad) ... ok (0.001s)
2022-11-23T01:32:41.6520979Z 
2022-11-23T01:32:41.6521246Z ----------------------------------------------------------------------
2022-11-23T01:32:41.6521545Z Ran 132 tests in 2.303s
2022-11-23T01:32:41.6521694Z 
2022-11-23T01:32:41.6521790Z OK (skipped=5)
2022-11-23T01:32:41.6521931Z 
2022-11-23T01:32:41.6522041Z Generating XML reports...
2022-11-23T01:32:41.6522616Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_dependency_api.TestDependencyAPI-20221123013238.xml
2022-11-23T01:32:41.6523380Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_dependency_hooks.TestDependencyHooks-20221123013238.xml
2022-11-23T01:32:41.6524095Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_digraph.TestDiGraph-20221123013238.xml
2022-11-23T01:32:41.6524832Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_directory_reader.DirectoryReaderTest-20221123013238.xml
2022-11-23T01:32:41.6525542Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_glob_group.TestGlobGroup-20221123013238.xml
2022-11-23T01:32:41.6526231Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_importer.TestImporter-20221123013238.xml
2022-11-23T01:32:41.6526962Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_load_bc_packages.TestLoadBCPackages-20221123013238.xml
2022-11-23T01:32:41.6527677Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_mangling.TestMangling-20221123013238.xml
2022-11-23T01:32:41.6528320Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_misc.TestMisc-20221123013238.xml
2022-11-23T01:32:41.6528979Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_package_fx.TestPackageFX-20221123013238.xml
2022-11-23T01:32:41.6529694Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_package_script.TestPackageScript-20221123013238.xml
2022-11-23T01:32:41.6530405Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_repackage.TestRepackage-20221123013238.xml
2022-11-23T01:32:41.6531087Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_resources.TestResources-20221123013238.xml
2022-11-23T01:32:41.6531770Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_save_load.TestSaveLoad-20221123013238.xml
2022-11-23T01:32:41.6532448Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_analyze.TestAnalyze-20221123013238.xml
2022-11-23T01:32:41.6533139Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_model.ModelTest-20221123013238.xml
2022-11-23T01:32:41.6533410Z 
2022-11-23T01:32:41.6533865Z ##[endgroup]
2022-11-23T01:32:41.6534369Z FINISHED PRINTING LOG FILE of test_package (/var/lib/jenkins/workspace/test/test-reports/test_package_mwez6e97)
2022-11-23T01:32:41.6534642Z 
2022-11-23T01:32:44.0228385Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:44.1068588Z Ignoring disabled issues:  []
2022-11-23T01:32:44.1279909Z Running test_per_overload_api ... [2022-11-23 01:32:44.127702]
2022-11-23T01:32:44.1283195Z Executing ['/opt/conda/bin/python', '-bb', 'test_per_overload_api.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:44.127969]
2022-11-23T01:32:47.1668755Z 
2022-11-23T01:32:47.1669423Z Expand the folded group to see the log file of test_per_overload_api
2022-11-23T01:32:47.1670344Z ##[group]PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_4osml04a)
2022-11-23T01:32:47.1670639Z 
2022-11-23T01:32:47.1670754Z Running tests...
2022-11-23T01:32:47.1671264Z ----------------------------------------------------------------------
2022-11-23T01:32:47.1671760Z Test results will be stored in test-reports/python-unittest/test_per_overload_api
2022-11-23T01:32:47.1672176Z   test_basics_opoverload (__main__.TestPerOverloadAPI) ... ok (0.396s)
2022-11-23T01:32:47.1672579Z   test_basics_opoverloadpacket (__main__.TestPerOverloadAPI) ... ok (0.003s)
2022-11-23T01:32:47.1672965Z   test_decompose (__main__.TestPerOverloadAPI) ... ok (0.002s)
2022-11-23T01:32:47.1673153Z 
2022-11-23T01:32:47.1673416Z ----------------------------------------------------------------------
2022-11-23T01:32:47.1673732Z Ran 3 tests in 0.401s
2022-11-23T01:32:47.1673941Z 
2022-11-23T01:32:47.1674023Z OK
2022-11-23T01:32:47.1674143Z 
2022-11-23T01:32:47.1674240Z Generating XML reports...
2022-11-23T01:32:47.1674810Z Generated XML report: test-reports/python-unittest/test_per_overload_api/TEST-TestPerOverloadAPI-20221123013246.xml
2022-11-23T01:32:47.1675125Z 
2022-11-23T01:32:47.1675402Z ##[endgroup]
2022-11-23T01:32:47.1675916Z FINISHED PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_4osml04a)
2022-11-23T01:32:47.1676208Z 
2022-11-23T01:32:49.5120867Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:49.6005274Z Ignoring disabled issues:  []
2022-11-23T01:32:49.6215815Z Running test_proxy_tensor ... [2022-11-23 01:32:49.621284]
2022-11-23T01:32:49.6217720Z Executing ['/opt/conda/bin/python', '-bb', 'test_proxy_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:49.621561]
2022-11-23T01:33:18.8550603Z 
2022-11-23T01:33:18.8552957Z Expand the folded group to see the log file of test_proxy_tensor
2022-11-23T01:33:18.8554328Z ##[group]PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_lyp6cp8y)
2022-11-23T01:33:18.8554728Z 
2022-11-23T01:33:18.8554971Z Running tests...
2022-11-23T01:33:18.8555478Z ----------------------------------------------------------------------
2022-11-23T01:33:18.8559986Z Test results will be stored in test-reports/python-unittest/test_proxy_tensor
2022-11-23T01:33:18.8560962Z   test_alias (__main__.TestFakeProxyTensor) ... ok (0.007s)
2022-11-23T01:33:18.8561585Z   test_issue82547 (__main__.TestFakeProxyTensor) ... ok (0.006s)
2022-11-23T01:33:18.8562085Z   test_meta (__main__.TestFakeProxyTensor) ... ok (0.007s)
2022-11-23T01:33:18.8562620Z   test_use_fake_and_tensor (__main__.TestFakeProxyTensor) ... ok (0.008s)
2022-11-23T01:33:18.8563162Z   test_allclose (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:18.8563968Z   test_amp_cache (__main__.TestGenericProxyTensorFake) ... skip: CUDA-only test (0.001s)
2022-11-23T01:33:18.8564614Z   test_constant_blowup (__main__.TestGenericProxyTensorFake) ... ok (0.006s)
2022-11-23T01:33:18.8565216Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorFake) ... ok (0.007s)
2022-11-23T01:33:18.8566071Z   test_constant_random (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:18.8566683Z   test_constant_unbind (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:18.8567271Z   test_decomp_of_capture (__main__.TestGenericProxyTensorFake) ... ok (0.006s)
2022-11-23T01:33:18.8567882Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorFake) ... ok (0.009s)
2022-11-23T01:33:18.8568445Z   test_has_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:18.8569033Z   test_inplace_metadata (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:18.8569834Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorFake) ... ok (0.057s)
2022-11-23T01:33:18.8570420Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorFake) ... ok (0.009s)
2022-11-23T01:33:18.8571054Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorFake) ... ok (0.032s)
2022-11-23T01:33:18.8571689Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorFake) ... ok (0.035s)
2022-11-23T01:33:18.8572323Z   test_make_fx_overloads (__main__.TestGenericProxyTensorFake) ... ok (0.006s)
2022-11-23T01:33:18.8572903Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorFake) ... ok (0.007s)
2022-11-23T01:33:18.8573500Z   test_make_fx_simple (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:18.8574122Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:18.8574734Z   test_partial_decomp (__main__.TestGenericProxyTensorFake) ... ok (0.018s)
2022-11-23T01:33:18.8575309Z   test_pr_86917 (__main__.TestGenericProxyTensorFake) ... ok (0.011s)
2022-11-23T01:33:18.8575894Z   test_proxy_tensor (__main__.TestGenericProxyTensorFake) ... ok (0.026s)
2022-11-23T01:33:18.8576809Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:18.8577495Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorFake) ... ok (1.904s)
2022-11-23T01:33:18.8578070Z   test_scalar_device (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:18.8578616Z   test_strides (__main__.TestGenericProxyTensorFake) ... ok (0.010s)
2022-11-23T01:33:18.8579183Z   test_tensor_constants (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:18.8579788Z   test_trace_subclasses (__main__.TestGenericProxyTensorFake) ... ok (0.008s)
2022-11-23T01:33:18.8580387Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorFake) ... ok (0.004s)
2022-11-23T01:33:18.8580999Z   test_varargs (__main__.TestGenericProxyTensorFake) ... ok (0.005s)
2022-11-23T01:33:18.8581549Z   test_allclose (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:18.8582356Z   test_amp_cache (__main__.TestGenericProxyTensorReal) ... skip: CUDA-only test (0.001s)
2022-11-23T01:33:18.8582957Z   test_constant_blowup (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:18.8583561Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:18.8584182Z   test_constant_random (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:18.8584760Z   test_constant_unbind (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:18.8585376Z   test_decomp_of_capture (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:18.8586012Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorReal) ... ok (0.006s)
2022-11-23T01:33:18.8586615Z   test_has_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:18.8587209Z   test_inplace_metadata (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:18.8587861Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorReal) ... ok (0.049s)
2022-11-23T01:33:18.8588471Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorReal) ... ok (0.007s)
2022-11-23T01:33:18.8589258Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorReal) ... ok (0.022s)
2022-11-23T01:33:18.8589900Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorReal) ... ok (0.025s)
2022-11-23T01:33:18.8590547Z   test_make_fx_overloads (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:18.8591136Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:18.8591753Z   test_make_fx_simple (__main__.TestGenericProxyTensorReal) ... ok (0.003s)
2022-11-23T01:33:18.8592334Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:18.8593090Z   test_partial_decomp (__main__.TestGenericProxyTensorReal) ... ok (0.014s)
2022-11-23T01:33:18.8593675Z   test_pr_86917 (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:18.8594333Z   test_proxy_tensor (__main__.TestGenericProxyTensorReal) ... ok (0.022s)
2022-11-23T01:33:18.8595001Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:18.8595681Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorReal) ... ok (1.435s)
2022-11-23T01:33:18.8596275Z   test_scalar_device (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:18.8596833Z   test_strides (__main__.TestGenericProxyTensorReal) ... ok (0.010s)
2022-11-23T01:33:18.8597373Z   test_tensor_constants (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:18.8597959Z   test_trace_subclasses (__main__.TestGenericProxyTensorReal) ... ok (0.010s)
2022-11-23T01:33:18.8598587Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorReal) ... ok (0.004s)
2022-11-23T01:33:18.8599169Z   test_varargs (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:33:18.8599753Z   test_allclose (__main__.TestGenericProxyTensorSymbolic) ... ok (0.041s)
2022-11-23T01:33:18.8600613Z   test_amp_cache (__main__.TestGenericProxyTensorSymbolic) ... skip: CUDA-only test (0.001s)
2022-11-23T01:33:18.8601274Z   test_constant_blowup (__main__.TestGenericProxyTensorSymbolic) ... ok (0.006s)
2022-11-23T01:33:18.8601880Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s)
2022-11-23T01:33:18.8602511Z   test_constant_random (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s)
2022-11-23T01:33:18.8603147Z   test_constant_unbind (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s)
2022-11-23T01:33:18.8603780Z   test_decomp_of_capture (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s)
2022-11-23T01:33:18.8604426Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorSymbolic) ... ok (0.026s)
2022-11-23T01:33:18.8605098Z   test_has_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s)
2022-11-23T01:33:18.8605703Z   test_inplace_metadata (__main__.TestGenericProxyTensorSymbolic) ... ok (0.010s)
2022-11-23T01:33:18.8606317Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorSymbolic) ... ok (0.049s)
2022-11-23T01:33:18.8606949Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorSymbolic) ... ok (0.008s)
2022-11-23T01:33:18.8607603Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorSymbolic) ... ok (0.137s)
2022-11-23T01:33:18.8608274Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorSymbolic) ... ok (0.128s)
2022-11-23T01:33:18.8608946Z   test_make_fx_overloads (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.015s)
2022-11-23T01:33:18.8609659Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s)
2022-11-23T01:33:18.8610285Z   test_make_fx_simple (__main__.TestGenericProxyTensorSymbolic) ... ok (0.009s)
2022-11-23T01:33:18.8610925Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s)
2022-11-23T01:33:18.8611547Z   test_partial_decomp (__main__.TestGenericProxyTensorSymbolic) ... ok (0.014s)
2022-11-23T01:33:18.8612278Z   test_pr_86917 (__main__.TestGenericProxyTensorSymbolic) ... ok (0.023s)
2022-11-23T01:33:18.8612883Z   test_proxy_tensor (__main__.TestGenericProxyTensorSymbolic) ... ok (0.065s)
2022-11-23T01:33:18.8613550Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s)
2022-11-23T01:33:18.8614295Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorSymbolic) ... ok (20.170s)
2022-11-23T01:33:18.8614934Z   test_scalar_device (__main__.TestGenericProxyTensorSymbolic) ... ok (0.019s)
2022-11-23T01:33:18.8615527Z   test_strides (__main__.TestGenericProxyTensorSymbolic) ... ok (0.010s)
2022-11-23T01:33:18.8616118Z   test_tensor_constants (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s)
2022-11-23T01:33:18.8617153Z   test_trace_subclasses (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.008s)
2022-11-23T01:33:18.8617826Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorSymbolic) ... ok (0.019s)
2022-11-23T01:33:18.8618410Z   test_varargs (__main__.TestGenericProxyTensorSymbolic) ... ok (0.022s)
2022-11-23T01:33:18.8618999Z   test_binary_broadcast (__main__.TestSymbolicTracing) ... ok (0.040s)
2022-11-23T01:33:18.8619529Z   test_cat (__main__.TestSymbolicTracing) ... ok (0.061s)
2022-11-23T01:33:18.8620032Z   test_elementwise_meta_with_sym_numbers (__main__.TestSymbolicTracing) ... ok (0.047s)
2022-11-23T01:33:18.8620597Z   test_expand (__main__.TestSymbolicTracing) ... ok (0.038s)
2022-11-23T01:33:18.8621078Z   test_guards_equal (__main__.TestSymbolicTracing) ... ok (0.433s)
2022-11-23T01:33:18.8621579Z   test_mega_guard (__main__.TestSymbolicTracing) ... ok (0.029s)
2022-11-23T01:33:18.8622079Z   test_metadata (__main__.TestSymbolicTracing) ... ok (0.022s)
2022-11-23T01:33:18.8622601Z   test_metadata_fresh (__main__.TestSymbolicTracing) ... ok (0.013s)
2022-11-23T01:33:18.8623116Z   test_multiply_shape (__main__.TestSymbolicTracing) ... ok (0.011s)
2022-11-23T01:33:18.8623640Z   test_neg_shape (__main__.TestSymbolicTracing) ... ok (0.029s)
2022-11-23T01:33:18.8625300Z   test_new_empty (__main__.TestSymbolicTracing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83408 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:33:18.8626475Z   test_nonidentity_transitive_guards (__main__.TestSymbolicTracing) ... ok (0.081s)
2022-11-23T01:33:18.8627058Z   test_return_symint (__main__.TestSymbolicTracing) ... ok (0.027s)
2022-11-23T01:33:18.8627718Z   test_rmethod (__main__.TestSymbolicTracing) ... ok (0.013s)
2022-11-23T01:33:18.8628291Z   test_size_with_tensor (__main__.TestSymbolicTracing) ... ok (0.063s)
2022-11-23T01:33:18.8628906Z   test_sqrt_size (__main__.TestSymbolicTracing) ... ok (0.013s)
2022-11-23T01:33:18.8629506Z   test_sym_storage_offset (__main__.TestSymbolicTracing) ... ok (0.026s)
2022-11-23T01:33:18.8630113Z   test_symint_to_tensor (__main__.TestSymbolicTracing) ... ok (0.024s)
2022-11-23T01:33:18.8630682Z   test_unary (__main__.TestSymbolicTracing) ... ok (0.029s)
2022-11-23T01:33:18.8630986Z 
2022-11-23T01:33:18.8631439Z ----------------------------------------------------------------------
2022-11-23T01:33:18.8631952Z Ran 110 tests in 25.761s
2022-11-23T01:33:18.8632176Z 
2022-11-23T01:33:18.8632378Z OK (skipped=4, expected failures=2)
2022-11-23T01:33:18.8632664Z 
2022-11-23T01:33:18.8632839Z Generating XML reports...
2022-11-23T01:33:18.8633790Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20221123013252.xml
2022-11-23T01:33:18.8635083Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20221123013252.xml
2022-11-23T01:33:18.8636175Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20221123013252.xml
2022-11-23T01:33:18.8637447Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20221123013252.xml
2022-11-23T01:33:18.8638535Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20221123013252.xml
2022-11-23T01:33:18.8639002Z 
2022-11-23T01:33:18.8639551Z ##[endgroup]
2022-11-23T01:33:18.8640286Z FINISHED PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_lyp6cp8y)
2022-11-23T01:33:18.8640697Z 
2022-11-23T01:33:20.8141842Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:20.8952888Z Ignoring disabled issues:  []
2022-11-23T01:33:20.9125505Z Running test_pruning_op ... [2022-11-23 01:33:20.912309]
2022-11-23T01:33:20.9127914Z Executing ['/opt/conda/bin/python', '-bb', 'test_pruning_op.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:20.912566]
2022-11-23T01:33:22.5641649Z 
2022-11-23T01:33:22.5642210Z Expand the folded group to see the log file of test_pruning_op
2022-11-23T01:33:22.5643613Z ##[group]PRINTING LOG FILE of test_pruning_op (/var/lib/jenkins/workspace/test/test-reports/test_pruning_op_h3zxvxsw)
2022-11-23T01:33:22.5644160Z 
2022-11-23T01:33:22.5644638Z ##[endgroup]
2022-11-23T01:33:22.5645665Z FINISHED PRINTING LOG FILE of test_pruning_op (/var/lib/jenkins/workspace/test/test-reports/test_pruning_op_h3zxvxsw)
2022-11-23T01:33:22.5646205Z 
2022-11-23T01:33:24.4471617Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:24.5240789Z Ignoring disabled issues:  []
2022-11-23T01:33:24.5415953Z Running test_public_bindings ... [2022-11-23 01:33:24.541245]
2022-11-23T01:33:24.5417372Z Executing ['/opt/conda/bin/python', '-bb', 'test_public_bindings.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:24.541511]
2022-11-23T01:33:28.3722214Z 
2022-11-23T01:33:28.3722776Z Expand the folded group to see the log file of test_public_bindings
2022-11-23T01:33:28.3723989Z ##[group]PRINTING LOG FILE of test_public_bindings (/var/lib/jenkins/workspace/test/test-reports/test_public_bindings_xarchl9a)
2022-11-23T01:33:28.3724436Z 
2022-11-23T01:33:28.3724568Z Running tests...
2022-11-23T01:33:28.3725189Z ----------------------------------------------------------------------
2022-11-23T01:33:28.3725905Z Test results will be stored in test-reports/python-unittest/test_public_bindings
2022-11-23T01:33:28.3726449Z   test_correct_module_names (__main__.TestPublicBindings)
2022-11-23T01:33:28.3727247Z An API is considered public, if  its  `__module__` starts with `torch.` ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:28.3727628Z ok (1.848s)
2022-11-23T01:33:28.3727942Z   test_no_new_bindings (__main__.TestPublicBindings)
2022-11-23T01:33:28.3728342Z This test aims to stop the introduction of new JIT bindings into torch._C ... ok (0.003s)
2022-11-23T01:33:28.3728595Z 
2022-11-23T01:33:28.3728836Z ----------------------------------------------------------------------
2022-11-23T01:33:28.3729078Z Ran 2 tests in 1.851s
2022-11-23T01:33:28.3729197Z 
2022-11-23T01:33:28.3729247Z OK
2022-11-23T01:33:28.3729336Z 
2022-11-23T01:33:28.3729420Z Generating XML reports...
2022-11-23T01:33:28.3729868Z Generated XML report: test-reports/python-unittest/test_public_bindings/TEST-TestPublicBindings-20221123013325.xml
2022-11-23T01:33:28.3734504Z 
2022-11-23T01:33:28.3735351Z ##[endgroup]
2022-11-23T01:33:28.3736200Z FINISHED PRINTING LOG FILE of test_public_bindings (/var/lib/jenkins/workspace/test/test-reports/test_public_bindings_xarchl9a)
2022-11-23T01:33:28.3736827Z 
2022-11-23T01:33:30.3020953Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:30.3791563Z Ignoring disabled issues:  []
2022-11-23T01:33:30.3964221Z Running test_python_dispatch ... [2022-11-23 01:33:30.396151]
2022-11-23T01:33:30.3966447Z Executing ['/opt/conda/bin/python', '-bb', 'test_python_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:30.396432]
2022-11-23T01:33:32.5252916Z 
2022-11-23T01:33:32.5253737Z Expand the folded group to see the log file of test_python_dispatch
2022-11-23T01:33:32.5254923Z ##[group]PRINTING LOG FILE of test_python_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_python_dispatch_xflgb5rx)
2022-11-23T01:33:32.5255364Z 
2022-11-23T01:33:32.5255501Z Running tests...
2022-11-23T01:33:32.5256185Z ----------------------------------------------------------------------
2022-11-23T01:33:32.5257370Z Test results will be stored in test-reports/python-unittest/test_python_dispatch
2022-11-23T01:33:32.5257954Z   test_all_same_mode (__main__.TestPythonDispatch) ... ok (0.237s)
2022-11-23T01:33:32.5258656Z   test_autograd_in_attr (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5259140Z   test_basic (__main__.TestPythonDispatch) ... ok (0.006s)
2022-11-23T01:33:32.5259678Z   test_capture_logs_with_torch_dispatch_mode (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5260269Z   test_construct_int_tensor (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5260854Z   test_custom_autograd (__main__.TestPythonDispatch) ... ok (0.005s)
2022-11-23T01:33:32.5261432Z   test_deepcopy_non_wrapper_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5262029Z   test_deepcopy_wrapper_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5262653Z   test_deepcopy_wrapper_subclass_with_clone_returning_different_type (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5263343Z   test_detach_appears_twice_when_called_once (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5263938Z   test_device_slowpath (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5264483Z   test_dim_slowpath (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5264987Z   test_dispatch_super_call (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5265563Z   test_dispatch_super_call_list_arg (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5266139Z   test_dispatch_super_dont_autograd (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5266736Z   test_error_using_class_method_on_mode (__main__.TestPythonDispatch) ... ok (0.006s)
2022-11-23T01:33:32.5267314Z   test_exception_handling (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5267855Z   test_fancy_strides (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5268350Z   test_format (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5268835Z   test_get_cur_mode (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5269329Z   test_get_mode_stack (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5298036Z   test_index_put_where_only_index_is_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5299178Z   test_invalid_ret (__main__.TestPythonDispatch) ... /var/lib/jenkins/workspace/test/test_python_dispatch.py:447: DeprecationWarning: Please use assertRaisesRegex instead.
2022-11-23T01:33:32.5300069Z   self.assertRaisesRegexp(
2022-11-23T01:33:32.5300564Z ok (0.001s)
2022-11-23T01:33:32.5301121Z   test_is_contiguous_slow_path (__main__.TestPythonDispatch) ... ok (0.003s)
2022-11-23T01:33:32.5301818Z   test_kwarg_only (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5302560Z   test_kwarg_only_and_positional_default (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5303277Z   test_layout_slow_path (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5303923Z   test_like (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5304557Z   test_list_ret (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5305235Z   test_make_subclass_with_modes (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5305992Z   test_make_wrapper_subclass_noalloc (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5306813Z   test_make_wrapper_subclass_propagates_metadata (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5307805Z   test_maybe_tuple_bug (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5308491Z   test_mode_with_make_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5309207Z   test_multiple_ops_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5309960Z   test_nested_push_logging_tensor_mode (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5310703Z   test_nesting_same_mode (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5311359Z   test_new_ones (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5312012Z   test_none_wrapping (__main__.TestPythonDispatch) ... ok (0.008s)
2022-11-23T01:33:32.5312817Z   test_notimplemented_mode (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5313533Z   test_optional_tensor_list (__main__.TestPythonDispatch) ... woof
2022-11-23T01:33:32.5314154Z ok (0.002s)
2022-11-23T01:33:32.5314648Z   test_out (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5315316Z   test_produce_real_type (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5315986Z   test_set_data (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5316689Z   test_shallow_copy_and_detach (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5317415Z   test_sizes_slow_path (__main__.TestPythonDispatch) ... ok (0.003s)
2022-11-23T01:33:32.5318145Z   test_standard_is_not_subclass (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5320050Z   test_storage (__main__.TestPythonDispatch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:33:32.5321304Z   warnings.warn(message, UserWarning)
2022-11-23T01:33:32.5321755Z ok (0.002s)
2022-11-23T01:33:32.5322376Z   test_storage_can_be_converted_to_python_object (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5323149Z   test_strides_slow_path (__main__.TestPythonDispatch) ... ok (0.003s)
2022-11-23T01:33:32.5323902Z   test_subclass_autograd_device_check (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5324628Z   test_subclass_creation (__main__.TestPythonDispatch) ... ok (0.006s)
2022-11-23T01:33:32.5325332Z   test_subclass_priority (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5326070Z   test_tolist_numpy_with_torch_dispatch_mode (__main__.TestPythonDispatch) ... ok (0.003s)
2022-11-23T01:33:32.5326723Z   test_torch_dispatch_mode_basic (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5327530Z   test_torch_dispatch_mode_respects_no_dispatch (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5328375Z   test_torch_dispatch_mode_subclass_priority (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5329199Z   test_torch_dispatch_mode_unrelated_tensors (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5329911Z   test_version (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5330599Z   test_with_mode_created_separately (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5331290Z   test_with_nested_modes (__main__.TestPythonDispatch) ... ok (0.001s)
2022-11-23T01:33:32.5331947Z   test_wrapper_subclass_serializes (__main__.TestPythonDispatch) ... ok (0.002s)
2022-11-23T01:33:32.5332607Z   test_basic (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:33:32.5333196Z   test_lstsq (__main__.TestPythonDispatcher) ... ok (0.008s)
2022-11-23T01:33:32.5333815Z   test_alias_analysis (__main__.TestPythonRegistration) ... ok (0.006s)
2022-11-23T01:33:32.5334532Z   test_create_new_library (__main__.TestPythonRegistration) ... ok (0.002s)
2022-11-23T01:33:32.5335342Z   test_error_for_unsupported_ns_or_kind (__main__.TestPythonRegistration) ... ok (0.001s)
2022-11-23T01:33:32.5336265Z   test_error_if_fn_not_callable (__main__.TestPythonRegistration) ... ok (0.001s)
2022-11-23T01:33:32.5337259Z   test_extend_library_with_dispatch_key_arg (__main__.TestPythonRegistration) ... ok (0.003s)
2022-11-23T01:33:32.5339025Z   test_override_aten_ops_with_multiple_libraries (__main__.TestPythonRegistration) ... /opt/conda/lib/python3.10/site-packages/torch/library.py:125: UserWarning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T01:33:32.5340359Z   operator: aten::mul.Tensor(Tensor self, Tensor other) -> Tensor
2022-11-23T01:33:32.5340995Z     registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6
2022-11-23T01:33:32.5341434Z   dispatch key: ZeroTensor
2022-11-23T01:33:32.5341829Z   previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1068
2022-11-23T01:33:32.5342458Z        new kernel: registered at /dev/null:549 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:159.)
2022-11-23T01:33:32.5343021Z   self.m.impl(name, dispatch_key if dispatch_key != "" else "CompositeImplicitAutograd", fn)
2022-11-23T01:33:32.5343367Z ok (0.004s)
2022-11-23T01:33:32.5343717Z   test_override_cpu_sum (__main__.TestPythonRegistration) ... ok (0.001s)
2022-11-23T01:33:32.5344185Z   test_override_cuda_with_jiterator (__main__.TestPythonRegistration) ... ok (0.003s)
2022-11-23T01:33:32.5344461Z 
2022-11-23T01:33:32.5344776Z ----------------------------------------------------------------------
2022-11-23T01:33:32.5345131Z Ran 72 tests in 0.381s
2022-11-23T01:33:32.5345295Z 
2022-11-23T01:33:32.5345386Z OK
2022-11-23T01:33:32.5345521Z 
2022-11-23T01:33:32.5345650Z Generating XML reports...
2022-11-23T01:33:32.5346253Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatch-20221123013331.xml
2022-11-23T01:33:32.5347045Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatcher-20221123013331.xml
2022-11-23T01:33:32.5347841Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonRegistration-20221123013331.xml
2022-11-23T01:33:32.5348179Z 
2022-11-23T01:33:32.5348558Z ##[endgroup]
2022-11-23T01:33:32.5349162Z FINISHED PRINTING LOG FILE of test_python_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_python_dispatch_xflgb5rx)
2022-11-23T01:33:32.5349461Z 
2022-11-23T01:33:34.4279947Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:34.5077573Z Ignoring disabled issues:  []
2022-11-23T01:33:34.5253915Z Running test_pytree ... [2022-11-23 01:33:34.525024]
2022-11-23T01:33:34.5255765Z Executing ['/opt/conda/bin/python', '-bb', 'test_pytree.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:34.525330]
2022-11-23T01:33:36.5250245Z 
2022-11-23T01:33:36.5250830Z Expand the folded group to see the log file of test_pytree
2022-11-23T01:33:36.5251760Z ##[group]PRINTING LOG FILE of test_pytree (/var/lib/jenkins/workspace/test/test-reports/test_pytree_gxpxq5pg)
2022-11-23T01:33:36.5252284Z 
2022-11-23T01:33:36.5252369Z Running tests...
2022-11-23T01:33:36.5252989Z ----------------------------------------------------------------------
2022-11-23T01:33:36.5253628Z Test results will be stored in test-reports/python-unittest/test_pytree
2022-11-23T01:33:36.5254025Z   test_broadcast_to_and_flatten (__main__.TestPytree) ... ok (0.242s)
2022-11-23T01:33:36.5254499Z   test_flatten_unflatten_dict (__main__.TestPytree) ... ok (0.003s)
2022-11-23T01:33:36.5254966Z   test_flatten_unflatten_leaf (__main__.TestPytree) ... ok (0.002s)
2022-11-23T01:33:36.5255330Z   test_flatten_unflatten_list (__main__.TestPytree) ... ok (0.002s)
2022-11-23T01:33:36.5255805Z   test_flatten_unflatten_namedtuple (__main__.TestPytree) ... ok (0.002s)
2022-11-23T01:33:36.5256187Z   test_flatten_unflatten_nested (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5256802Z   test_flatten_unflatten_odict (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5257498Z   test_flatten_unflatten_return_type_max (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5257958Z   test_flatten_unflatten_return_type_min (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5258331Z   test_flatten_unflatten_tuple (__main__.TestPytree) ... ok (0.002s)
2022-11-23T01:33:36.5258672Z   test_tree_all_any (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5258976Z   test_tree_only (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5259286Z   test_treemap (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5259617Z   test_treespec_equality (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5259942Z   test_treespec_repr (__main__.TestPytree) ... ok (0.001s)
2022-11-23T01:33:36.5260205Z 
2022-11-23T01:33:36.5260480Z ----------------------------------------------------------------------
2022-11-23T01:33:36.5260793Z Ran 15 tests in 0.263s
2022-11-23T01:33:36.5260938Z 
2022-11-23T01:33:36.5261020Z OK
2022-11-23T01:33:36.5261138Z 
2022-11-23T01:33:36.5261235Z Generating XML reports...
2022-11-23T01:33:36.5261758Z Generated XML report: test-reports/python-unittest/test_pytree/TEST-TestPytree-20221123013335.xml
2022-11-23T01:33:36.5262038Z 
2022-11-23T01:33:36.5262349Z ##[endgroup]
2022-11-23T01:33:36.5262826Z FINISHED PRINTING LOG FILE of test_pytree (/var/lib/jenkins/workspace/test/test-reports/test_pytree_gxpxq5pg)
2022-11-23T01:33:36.5263098Z 
2022-11-23T01:33:38.6335937Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:38.7122681Z Ignoring disabled issues:  []
2022-11-23T01:33:38.7301524Z Running test_quantization ... [2022-11-23 01:33:38.729838]
2022-11-23T01:33:38.7303681Z Executing ['/opt/conda/bin/python', '-bb', 'test_quantization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:38.730130]
2022-11-23T01:33:47.3573815Z 
2022-11-23T01:33:47.3577865Z Expand the folded group to see the log file of test_optim
2022-11-23T01:33:47.3582060Z ##[group]PRINTING LOG FILE of test_optim (/var/lib/jenkins/workspace/test/test-reports/test_optim_t4e8a_3n)
2022-11-23T01:33:47.3594508Z 
2022-11-23T01:33:47.3594644Z Running tests...
2022-11-23T01:33:47.3595167Z ----------------------------------------------------------------------
2022-11-23T01:33:47.3595655Z Test results will be stored in test-reports/python-unittest/test_optim
2022-11-23T01:33:47.3596046Z   test_adadelta (__main__.TestDifferentiableOptimizer) ... ok (0.250s)
2022-11-23T01:33:47.3596447Z   test_adagrad (__main__.TestDifferentiableOptimizer) ... ok (0.007s)
2022-11-23T01:33:47.3596836Z   test_adam (__main__.TestDifferentiableOptimizer) ... ok (0.015s)
2022-11-23T01:33:47.3597224Z   test_adamax (__main__.TestDifferentiableOptimizer) ... ok (0.010s)
2022-11-23T01:33:47.3597608Z   test_adamw (__main__.TestDifferentiableOptimizer) ... ok (0.014s)
2022-11-23T01:33:47.3597993Z   test_asgd (__main__.TestDifferentiableOptimizer) ... ok (0.005s)
2022-11-23T01:33:47.3598373Z   test_nadam (__main__.TestDifferentiableOptimizer) ... ok (0.014s)
2022-11-23T01:33:47.3598745Z   test_radam (__main__.TestDifferentiableOptimizer) ... ok (0.010s)
2022-11-23T01:33:47.3599133Z   test_rmsprop (__main__.TestDifferentiableOptimizer) ... ok (0.013s)
2022-11-23T01:33:47.3599518Z   test_rprop (__main__.TestDifferentiableOptimizer) ... ok (0.010s)
2022-11-23T01:33:47.3599900Z   test_sgd (__main__.TestDifferentiableOptimizer) ... ok (0.004s)
2022-11-23T01:33:47.3600300Z   test_CosineAnnealingWarmRestarts_lr1_T_mult_1 (__main__.TestLRScheduler) ... ok (0.009s)
2022-11-23T01:33:47.3600744Z   test_CosineAnnealingWarmRestarts_lr1_T_mult_2 (__main__.TestLRScheduler) ... ok (0.008s)
2022-11-23T01:33:47.3601184Z   test_CosineAnnealingWarmRestarts_lr1_T_mult_4 (__main__.TestLRScheduler) ... ok (0.008s)
2022-11-23T01:33:47.3601604Z   test_CosineAnnealingWarmRestarts_lr2 (__main__.TestLRScheduler) ... ok (0.063s)
2022-11-23T01:33:47.3602029Z   test_CosineAnnealingWarmRestarts_lr3 (__main__.TestLRScheduler) ... ok (0.005s)
2022-11-23T01:33:47.3602664Z   test_CosineAnnealingWarmRestarts_lr_state_dict (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3604157Z   test_chained_lr1 (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3605113Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3615508Z ok (0.002s)
2022-11-23T01:33:47.3615796Z   test_chained_lr2 (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3616176Z   test_chained_lr2_get_last_lr_before_step (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3616674Z   test_chained_lr3 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3617007Z   test_chained_lr4 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3617347Z   test_chained_lr5 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3617703Z   test_closed_form_constantlr (__main__.TestLRScheduler) ... ok (0.007s)
2022-11-23T01:33:47.3618077Z   test_closed_form_cos_anneal_lr (__main__.TestLRScheduler) ... ok (0.007s)
2022-11-23T01:33:47.3618436Z   test_closed_form_exp_lr (__main__.TestLRScheduler) ... ok (0.007s)
2022-11-23T01:33:47.3618799Z   test_closed_form_linearlr (__main__.TestLRScheduler) ... ok (0.007s)
2022-11-23T01:33:47.3619170Z   test_closed_form_multi_step_lr (__main__.TestLRScheduler) ... ok (0.007s)
2022-11-23T01:33:47.3619531Z   test_closed_form_poly_lr (__main__.TestLRScheduler) ... ok (0.007s)
2022-11-23T01:33:47.3619892Z   test_closed_form_step_lr (__main__.TestLRScheduler) ... ok (0.006s)
2022-11-23T01:33:47.3621394Z   test_compound_cosanneal_and_exp_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3622369Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3622688Z ok (0.002s)
2022-11-23T01:33:47.3622990Z   test_compound_cosanneal_and_linearlr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3623403Z   test_compound_cosanneal_and_multistep_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3623806Z   test_compound_cosanneal_and_step_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3624183Z   test_compound_exp_and_linearlr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3624572Z   test_compound_exp_and_multistep_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3624973Z   test_compound_linearlr_and_multistep_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3625363Z   test_compound_reduce_lr_on_plateau1 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3635581Z   test_compound_reduce_lr_on_plateau2 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3635991Z   test_compound_reduce_lr_on_plateau3 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3636384Z   test_compound_reduce_lr_on_plateau4 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3636764Z   test_compound_reduce_lr_on_plateau5 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3637156Z   test_compound_step_and_constantlr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3637541Z   test_compound_step_and_exp_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3638056Z   test_compound_step_and_multistep_lr (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3638444Z   test_constantlr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3638942Z   test_constantlr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3639455Z   test_constantlr_with_epoch (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3648503Z   test_cos_anneal_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3649670Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3649986Z ok (0.002s)
2022-11-23T01:33:47.3650284Z   test_cos_anneal_lr_continue (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3650657Z   test_cosine_lr_state_dict (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3651008Z   test_cosine_then_cyclic (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3651432Z   test_cycle_lr_cycle_momentum_fail_with_momentumless_optimizer (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3651849Z   test_cycle_lr_exp_range_mode (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3652236Z   test_cycle_lr_exp_range_mode_one_lr (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3652632Z   test_cycle_lr_exp_range_mode_step_size_up_down (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3653024Z   test_cycle_lr_invalid_mode (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3653471Z   test_cycle_lr_removed_after_out_of_scope (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3653866Z   test_cycle_lr_triangular2_mode (__main__.TestLRScheduler) ... ok (0.004s)
2022-11-23T01:33:47.3654246Z   test_cycle_lr_triangular2_mode_one_lr (__main__.TestLRScheduler) ... ok (0.004s)
2022-11-23T01:33:47.3654657Z   test_cycle_lr_triangular2_mode_step_size_up_down (__main__.TestLRScheduler) ... ok (0.005s)
2022-11-23T01:33:47.3655059Z   test_cycle_lr_triangular_mode (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3655446Z   test_cycle_lr_triangular_mode_one_lr (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3655841Z   test_cycle_lr_triangular_mode_one_lr_no_momentum (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3656264Z   test_cycle_lr_triangular_mode_step_size_up_down (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3656769Z   test_cycle_lr_with_adam (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3657151Z   test_cycle_lr_with_momentumless_optimizer (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3657558Z   test_error_when_getlr_has_epoch (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3657912Z   test_exp_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3658262Z   test_exp_step_lr_state_dict (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3658654Z   test_exponential_lr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3659061Z   test_get_last_lr_constantlr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3659432Z   test_get_last_lr_linearlr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3659786Z   test_get_last_lr_multi_step_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3661481Z   test_get_last_lr_sequentiallr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:151: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
2022-11-23T01:33:47.3662439Z   warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
2022-11-23T01:33:47.3662720Z ok (0.002s)
2022-11-23T01:33:47.3663002Z   test_get_last_lr_step_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3664426Z   test_lambda_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3665435Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3665751Z ok (0.002s)
2022-11-23T01:33:47.3666054Z   test_lambda_lr_state_dict_fn (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3666424Z   test_lambda_lr_state_dict_obj (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3666834Z   test_linear_linearlr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3668278Z   test_linearlr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3669214Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3669521Z ok (0.002s)
2022-11-23T01:33:47.3669827Z   test_linearlr_start_factor_limits1 (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3670219Z   test_linearlr_start_factor_limits2 (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3670599Z   test_linearlr_with_epoch (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3672028Z   test_multi_step_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3672980Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3673293Z ok (0.002s)
2022-11-23T01:33:47.3673591Z   test_multi_step_lr_state_dict (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3674009Z   test_multi_step_lr_with_epoch (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3675462Z   test_multiplicative_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3676460Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3676775Z ok (0.002s)
2022-11-23T01:33:47.3677069Z   test_new_pattern_no_warning (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3677438Z   test_new_pattern_no_warning_with_arg (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3677871Z   test_new_pattern_no_warning_with_overridden_optim_step (__main__.TestLRScheduler) ... ok (0.005s)
2022-11-23T01:33:47.3678282Z   test_no_cyclic_references (__main__.TestLRScheduler) ... ok (0.132s)
2022-11-23T01:33:47.3678651Z   test_no_cyclic_references_in_step (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3679034Z   test_old_pattern_warning (__main__.TestLRScheduler) ... ok (0.004s)
2022-11-23T01:33:47.3679447Z   test_old_pattern_warning_resuming (__main__.TestLRScheduler) ... ok (0.004s)
2022-11-23T01:33:47.3679849Z   test_old_pattern_warning_resuming_with_arg (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3680239Z   test_old_pattern_warning_with_arg (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3680660Z   test_old_pattern_warning_with_overridden_optim_step (__main__.TestLRScheduler) ... ok (0.004s)
2022-11-23T01:33:47.3681103Z   test_onecycle_lr_cannot_calculate_total_steps (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3681500Z   test_onecycle_lr_cosine_annealing (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3681899Z   test_onecycle_lr_invalid_anneal_strategy (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3682298Z   test_onecycle_lr_invalid_pct_start (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3682687Z   test_onecycle_lr_linear_annealing (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3683081Z   test_onecycle_lr_linear_annealing_three_phases (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3684547Z   test_poly_lr (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3685490Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3685806Z ok (0.002s)
2022-11-23T01:33:47.3686121Z   test_polynomial_lr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3686523Z   test_reduce_lr_on_plateau1 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3686893Z   test_reduce_lr_on_plateau2 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3687257Z   test_reduce_lr_on_plateau3 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3687609Z   test_reduce_lr_on_plateau4 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3687971Z   test_reduce_lr_on_plateau5 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3688333Z   test_reduce_lr_on_plateau6 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3688688Z   test_reduce_lr_on_plateau7 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3689048Z   test_reduce_lr_on_plateau8 (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3689423Z   test_reduce_lr_on_plateau_state_dict (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3690885Z   test_sequentiallr1 (__main__.TestLRScheduler) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3691831Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3693216Z /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:151: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
2022-11-23T01:33:47.3694142Z   warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
2022-11-23T01:33:47.3694422Z ok (0.002s)
2022-11-23T01:33:47.3694705Z   test_sequentiallr2 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3695060Z   test_sequentiallr3 (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3695409Z   test_sequentiallr4 (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3695749Z   test_step_lr (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3696110Z   test_step_lr_is_constant_for_constant_epoch (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3696615Z   test_step_lr_state_dict (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3696975Z   test_swa_lr_state_dict (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3697370Z   test_swalr_cosine_anneal_after_multiplicative (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3697743Z   test_swalr_hypers (__main__.TestLRScheduler) ... ok (0.001s)
2022-11-23T01:33:47.3698133Z   test_swalr_linear_anneal_after_multiplicative (__main__.TestLRScheduler) ... ok (0.003s)
2022-11-23T01:33:47.3698520Z   test_swalr_no_anneal (__main__.TestLRScheduler) ... ok (0.002s)
2022-11-23T01:33:47.3699949Z   test_adadelta (__main__.TestOptim) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3700874Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3701180Z ok (2.950s)
2022-11-23T01:33:47.3701456Z   test_adadelta_complex (__main__.TestOptim) ... ok (0.005s)
2022-11-23T01:33:47.3701777Z   test_adagrad (__main__.TestOptim) ... ok (3.914s)
2022-11-23T01:33:47.3702086Z   test_adagrad_complex (__main__.TestOptim) ... ok (0.007s)
2022-11-23T01:33:47.3702417Z   test_adagrad_sparse (__main__.TestOptim) ... ok (12.188s)
2022-11-23T01:33:47.3702727Z   test_adam (__main__.TestOptim) ... ok (10.090s)
2022-11-23T01:33:47.3703019Z   test_adamax (__main__.TestOptim) ... ok (2.309s)
2022-11-23T01:33:47.3703317Z   test_adamw (__main__.TestOptim) ... ok (2.916s)
2022-11-23T01:33:47.3703615Z   test_asgd (__main__.TestOptim) ... ok (3.879s)
2022-11-23T01:33:47.3703968Z   test_duplicate_params_in_param_group (__main__.TestOptim) ... ok (0.001s)
2022-11-23T01:33:47.3704313Z   test_empty_grad (__main__.TestOptim) ... ok (0.009s)
2022-11-23T01:33:47.3704705Z   test_functional_fused_adam_with_foundinf (__main__.TestOptim) ... skip: CUDA is required. (0.001s)
2022-11-23T01:33:47.3705094Z   test_fused_optimizers (__main__.TestOptim) ... ok (0.001s)
2022-11-23T01:33:47.3705421Z   test_invalid_param_type (__main__.TestOptim) ... ok (0.001s)
2022-11-23T01:33:47.3705738Z   test_lbfgs (__main__.TestOptim) ... ok (0.382s)
2022-11-23T01:33:47.3706060Z   test_lbfgs_return_type (__main__.TestOptim) ... ok (0.002s)
2022-11-23T01:33:47.3706392Z   test_multi_tensor_optimizers (__main__.TestOptim) ... ok (0.002s)
2022-11-23T01:33:47.3707875Z   test_nadam (__main__.TestOptim) ... /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py:138: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
2022-11-23T01:33:47.3708803Z   warnings.warn("Detected call of `lr_scheduler.step()` before `optimizer.step()`. "
2022-11-23T01:33:47.3709120Z ok (1.487s)
2022-11-23T01:33:47.3709401Z   test_no_grad_for_all_params (__main__.TestOptim) ... ok (0.001s)
2022-11-23T01:33:47.3709756Z   test_radam (__main__.TestOptim) ... ok (1.615s)
2022-11-23T01:33:47.3710060Z   test_rmsprop (__main__.TestOptim) ... ok (7.722s)
2022-11-23T01:33:47.3710365Z   test_rprop (__main__.TestOptim) ... ok (3.201s)
2022-11-23T01:33:47.3710650Z   test_sgd (__main__.TestOptim) ... ok (7.357s)
2022-11-23T01:33:47.3710963Z   test_sgd_complex (__main__.TestOptim) ... ok (0.010s)
2022-11-23T01:33:47.3711277Z   test_sgd_sparse (__main__.TestOptim) ... ok (9.361s)
2022-11-23T01:33:47.3711581Z   test_sparse_adam (__main__.TestOptim) ... ok (2.976s)
2022-11-23T01:33:47.3711931Z   test_averaged_model_all_devices (__main__.TestSWAUtils) ... ok (0.011s)
2022-11-23T01:33:47.3712307Z   test_averaged_model_exponential (__main__.TestSWAUtils) ... ok (0.009s)
2022-11-23T01:33:47.3712700Z   test_averaged_model_exponential_buffers (__main__.TestSWAUtils) ... ok (0.006s)
2022-11-23T01:33:47.3713076Z   test_averaged_model_mixed_device (__main__.TestSWAUtils) ... ok (0.001s)
2022-11-23T01:33:47.3713451Z   test_averaged_model_state_dict (__main__.TestSWAUtils) ... ok (0.004s)
2022-11-23T01:33:47.3713901Z   test_bn_update_eval_momentum (__main__.TestSWAUtils) ... ok (0.038s)
2022-11-23T01:33:47.3714241Z   test_update_bn_cnn (__main__.TestSWAUtils) ... ok (0.151s)
2022-11-23T01:33:47.3714579Z   test_update_bn_dnn (__main__.TestSWAUtils) ... ok (0.023s)
2022-11-23T01:33:47.3714767Z 
2022-11-23T01:33:47.3715039Z ----------------------------------------------------------------------
2022-11-23T01:33:47.3715351Z Ran 161 tests in 73.481s
2022-11-23T01:33:47.3715487Z 
2022-11-23T01:33:47.3715582Z OK (skipped=1)
2022-11-23T01:33:47.3715721Z 
2022-11-23T01:33:47.3715830Z Generating XML reports...
2022-11-23T01:33:47.3716408Z Generated XML report: test-reports/python-unittest/test_optim/TEST-TestDifferentiableOptimizer-20221123013233.xml
2022-11-23T01:33:47.3717077Z Generated XML report: test-reports/python-unittest/test_optim/TEST-TestLRScheduler-20221123013233.xml
2022-11-23T01:33:47.3717697Z Generated XML report: test-reports/python-unittest/test_optim/TEST-TestOptim-20221123013233.xml
2022-11-23T01:33:47.3718306Z Generated XML report: test-reports/python-unittest/test_optim/TEST-TestSWAUtils-20221123013233.xml
2022-11-23T01:33:47.3718578Z 
2022-11-23T01:33:47.3718949Z ##[endgroup]
2022-11-23T01:33:47.3719441Z FINISHED PRINTING LOG FILE of test_optim (/var/lib/jenkins/workspace/test/test-reports/test_optim_t4e8a_3n)
2022-11-23T01:33:47.3719704Z 
2022-11-23T01:33:49.6361599Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:49.7159758Z Ignoring disabled issues:  []
2022-11-23T01:33:49.7339611Z Running test_scatter_gather_ops ... [2022-11-23 01:33:49.733474]
2022-11-23T01:33:49.7341046Z Executing ['/opt/conda/bin/python', '-bb', 'test_scatter_gather_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:49.733774]
2022-11-23T01:33:51.9389448Z 
2022-11-23T01:33:51.9393569Z Expand the folded group to see the log file of test_scatter_gather_ops
2022-11-23T01:33:51.9397821Z ##[group]PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_w_ip84be)
2022-11-23T01:33:51.9402826Z 
2022-11-23T01:33:51.9402964Z Running tests...
2022-11-23T01:33:51.9403480Z ----------------------------------------------------------------------
2022-11-23T01:33:51.9403909Z 
2022-11-23T01:33:51.9404176Z ----------------------------------------------------------------------
2022-11-23T01:33:51.9404470Z Ran 0 tests in 0.000s
2022-11-23T01:33:51.9404622Z 
2022-11-23T01:33:51.9404707Z OK
2022-11-23T01:33:51.9404828Z 
2022-11-23T01:33:51.9404942Z Generating XML reports...
2022-11-23T01:33:51.9405404Z Test results will be stored in test-reports/python-unittest/test_scatter_gather_ops
2022-11-23T01:33:51.9408392Z 
2022-11-23T01:33:51.9411275Z ##[endgroup]
2022-11-23T01:33:51.9414436Z FINISHED PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_w_ip84be)
2022-11-23T01:33:51.9417559Z 
2022-11-23T01:33:54.2513410Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:54.3391911Z Ignoring disabled issues:  []
2022-11-23T01:33:54.3665149Z Running test_schema_check ... [2022-11-23 01:33:54.366097]
2022-11-23T01:33:54.3666476Z Executing ['/opt/conda/bin/python', '-bb', 'test_schema_check.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:54.366417]
2022-11-23T01:33:57.6401847Z 
2022-11-23T01:33:57.6406520Z Expand the folded group to see the log file of test_schema_check
2022-11-23T01:33:57.6412234Z ##[group]PRINTING LOG FILE of test_schema_check (/var/lib/jenkins/workspace/test/test-reports/test_schema_check_5bgk9lzb)
2022-11-23T01:33:57.6412604Z 
2022-11-23T01:33:57.6412798Z Running tests...
2022-11-23T01:33:57.6413486Z ----------------------------------------------------------------------
2022-11-23T01:33:57.6414188Z Test results will be stored in test-reports/python-unittest/test_schema_check
2022-11-23T01:33:57.6414777Z   test_alias_check_fail_multiple_operators (__main__.TestSchemaCheck) ... ok (0.004s)
2022-11-23T01:33:57.6415310Z   test_alias_check_fail_multiple_operators_centered (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6415757Z   test_alias_check_fail_outputs_unexpectedly_aliasing (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T01:33:57.6416130Z   test_alias_check_fail_simple (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:33:57.6416573Z   test_is_alias_of_basic (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:33:57.6416999Z   test_is_alias_of_empty_container (__main__.TestSchemaCheck) ... ok (0.005s)
2022-11-23T01:33:57.6417408Z   test_mutation_check_fail (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6417837Z   test_mutation_check_fail_multiple_operators (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T01:33:57.6418273Z   test_overlaps_basic (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:33:57.6418671Z   test_overlaps_empty_container (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6419117Z   test_schema_check_mode_empty_list_input (__main__.TestSchemaCheck) ... ok (0.011s)
2022-11-23T01:33:57.6419832Z   test_schema_check_mode_functionality (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T01:33:57.6420656Z   test_schema_check_mode_functionality_aliasing_inputs (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6421504Z   test_schema_check_mode_functionality_default_replaced (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6422330Z   test_schema_check_mode_functionality_device_input (__main__.TestSchemaCheck) ... ok (0.006s)
2022-11-23T01:33:57.6423169Z   test_schema_check_mode_functionality_kwarg_tensor (__main__.TestSchemaCheck) ... ok (0.018s)
2022-11-23T01:33:57.6423986Z   test_schema_check_mode_functionality_list_input (__main__.TestSchemaCheck) ... ok (0.003s)
2022-11-23T01:33:57.6424803Z   test_schema_check_mode_functionality_mutable_inputs (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:33:57.6425679Z   test_schema_check_mode_functionality_nested_training_op (__main__.TestSchemaCheck) ... ok (0.013s)
2022-11-23T01:33:57.6426529Z   test_schema_check_mode_functionality_training_op (__main__.TestSchemaCheck) ... ok (0.011s)
2022-11-23T01:33:57.6427607Z   test_schema_check_mode_functionality_wildcard_after (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6428444Z   test_schema_check_mode_functionality_with_multiple_outputs (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6430649Z   test_schema_check_mode_functionality_with_multiple_outputs_aliasing (__main__.TestSchemaCheck) ... /var/lib/jenkins/workspace/test/test_schema_check.py:276: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:33:57.6432704Z   torch.aminmax(x, dim=0, out=[actual, actual])
2022-11-23T01:33:57.6433165Z ok (0.012s)
2022-11-23T01:33:57.6433900Z   test_schema_check_mode_mutated_aliasing_aliasing_inputs (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6436094Z   test_schema_check_mode_mutated_aliasing_aliasing_outputs (__main__.TestSchemaCheck) ... /var/lib/jenkins/workspace/test/test_schema_check.py:179: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3], which does not match the required output shape [1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:33:57.6437952Z   torch.aminmax(x, dim=0, out=[actual, actual])
2022-11-23T01:33:57.6438416Z ok (0.007s)
2022-11-23T01:33:57.6439028Z   test_schema_check_mode_mutated_aliasing_as_strided (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6439891Z   test_schema_check_mode_mutated_aliasing_multiple_outputs (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6440706Z   test_schema_check_mode_mutated_aliasing_mutation (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:33:57.6441507Z   test_schema_check_mode_mutated_aliasing_none (__main__.TestSchemaCheck) ... ok (0.001s)
2022-11-23T01:33:57.6442321Z   test_schema_check_mode_mutated_aliasing_resize_ (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6443076Z   test_schema_check_mode_operator_order (__main__.TestSchemaCheck) ... ok (0.006s)
2022-11-23T01:33:57.6443816Z   test_schema_check_mode_operator_order_without_grad (__main__.TestSchemaCheck) ... ok (0.006s)
2022-11-23T01:33:57.6444564Z   test_schema_info_bind_basic (__main__.TestSchemaCheck) ... ok (0.002s)
2022-11-23T01:33:57.6444968Z 
2022-11-23T01:33:57.6445515Z ----------------------------------------------------------------------
2022-11-23T01:33:57.6446062Z Ran 33 tests in 0.144s
2022-11-23T01:33:57.6446324Z 
2022-11-23T01:33:57.6446462Z OK
2022-11-23T01:33:57.6446677Z 
2022-11-23T01:33:57.6446891Z Generating XML reports...
2022-11-23T01:33:57.6447884Z Generated XML report: test-reports/python-unittest/test_schema_check/TEST-TestSchemaCheck-20221123013356.xml
2022-11-23T01:33:57.6448448Z 
2022-11-23T01:33:57.6449009Z ##[endgroup]
2022-11-23T01:33:57.6449919Z FINISHED PRINTING LOG FILE of test_schema_check (/var/lib/jenkins/workspace/test/test-reports/test_schema_check_5bgk9lzb)
2022-11-23T01:33:57.6450471Z 
2022-11-23T01:33:59.8638846Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:59.9391295Z Ignoring disabled issues:  []
2022-11-23T01:33:59.9568573Z Running test_serialization ... [2022-11-23 01:33:59.956505]
2022-11-23T01:33:59.9570082Z Executing ['/opt/conda/bin/python', '-bb', 'test_serialization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:59.956787]
2022-11-23T01:34:51.3005409Z 
2022-11-23T01:34:51.3005996Z Expand the folded group to see the log file of test_serialization
2022-11-23T01:34:51.3007165Z ##[group]PRINTING LOG FILE of test_serialization (/var/lib/jenkins/workspace/test/test-reports/test_serialization_zae15u95)
2022-11-23T01:34:51.3008598Z 
2022-11-23T01:34:51.3009013Z Running tests...
2022-11-23T01:34:51.3009692Z ----------------------------------------------------------------------
2022-11-23T01:34:51.3010396Z Test results will be stored in test-reports/python-unittest/test_serialization
2022-11-23T01:34:51.3011323Z   test_load_error_msg (__main__.TestOldSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3011827Z   test_load_nonexistent_device (__main__.TestOldSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3012432Z   test_load_python2_unicode_module (__main__.TestOldSerialization) ... ok (0.029s)
2022-11-23T01:34:51.3012913Z   test_load_unicode_error_msg (__main__.TestOldSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3013775Z   test_save_different_dtype_error (__main__.TestOldSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:34:51.3014292Z   warnings.warn(message, UserWarning)
2022-11-23T01:34:51.3014490Z ok (0.003s)
2022-11-23T01:34:51.3014732Z   test_save_different_dtype_unallocated (__main__.TestOldSerialization) ... ok (0.165s)
2022-11-23T01:34:51.3015046Z   test_serialization (__main__.TestOldSerialization) ... ok (0.020s)
2022-11-23T01:34:51.3015360Z   test_serialization_backwards_compat (__main__.TestOldSerialization) ... ok (0.036s)
2022-11-23T01:34:51.3015684Z   test_serialization_backwards_compat_safe (__main__.TestOldSerialization) ... ok (0.013s)
2022-11-23T01:34:51.3016015Z   test_serialization_container (__main__.TestOldSerialization) ... ok (0.012s)
2022-11-23T01:34:51.3016341Z   test_serialization_container_filelike (__main__.TestOldSerialization) ... ok (0.010s)
2022-11-23T01:34:51.3016897Z   test_serialization_dill (__main__.TestOldSerialization) ... skip: "dill" not found or not correct version (0.001s)
2022-11-23T01:34:51.3017298Z   test_serialization_dill_version_not_supported (__main__.TestOldSerialization) ... skip: "dill" not found or is correct version (0.000s)
2022-11-23T01:34:51.3017664Z   test_serialization_fake_zip (__main__.TestOldSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3018432Z   test_serialization_filelike (__main__.TestOldSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:34:51.3018926Z   warnings.warn(message, UserWarning)
2022-11-23T01:34:51.3058043Z ok (0.009s)
2022-11-23T01:34:51.3058675Z   test_serialization_filelike_api_requirements (__main__.TestOldSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3059549Z   test_serialization_filelike_exceptions (__main__.TestOldSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3060403Z   test_serialization_filelike_missing_attrs (__main__.TestOldSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3061225Z   test_serialization_filelike_stress (__main__.TestOldSerialization) ... ok (0.567s)
2022-11-23T01:34:51.3062046Z   test_serialization_filelike_uses_readinto (__main__.TestOldSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3062848Z   test_serialization_gzip (__main__.TestOldSerialization) ... ok (0.021s)
2022-11-23T01:34:51.3065097Z   test_serialization_map_location (__main__.TestOldSerialization) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81685 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:34:51.3066676Z   test_serialization_offset (__main__.TestOldSerialization) ... ok (14.326s)
2022-11-23T01:34:51.3067672Z   test_serialization_offset_filelike_weights_only_False (__main__.TestOldSerialization) ... ok (13.267s)
2022-11-23T01:34:51.3068583Z   test_serialization_offset_filelike_weights_only_True (__main__.TestOldSerialization) ... ok (11.793s)
2022-11-23T01:34:51.3069430Z   test_serialization_offset_gzip (__main__.TestOldSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3070187Z   test_serialization_safe (__main__.TestOldSerialization) ... ok (0.018s)
2022-11-23T01:34:51.3070985Z   test_serialization_save_warnings (__main__.TestOldSerialization) ... ok (0.004s)
2022-11-23T01:34:51.3072953Z   test_serialization_sparse (__main__.TestOldSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:34:51.3074456Z   warnings.warn(message, UserWarning)
2022-11-23T01:34:51.3074931Z ok (0.016s)
2022-11-23T01:34:51.3076522Z   test_serialization_sparse_csr_invalid (__main__.TestOldSerialization) ... /var/lib/jenkins/workspace/test/test_serialization.py:339: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:34:51.3078009Z   x = x.to_sparse_csr()
2022-11-23T01:34:51.3078402Z ok (0.003s)
2022-11-23T01:34:51.3078996Z   test_serialization_sparse_invalid (__main__.TestOldSerialization) ... ok (0.006s)
2022-11-23T01:34:51.3079771Z   test_serialization_sparse_safe (__main__.TestOldSerialization) ... ok (0.018s)
2022-11-23T01:34:51.3080576Z   test_serialization_storage_slice (__main__.TestOldSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3081352Z   test_serialization_zipfile_utils (__main__.TestOldSerialization) ... ok (0.004s)
2022-11-23T01:34:51.3082115Z   test_serialize_device (__main__.TestOldSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3082811Z   test_load_error_msg (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3083515Z   test_load_nonexistent_device (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3084267Z   test_load_python2_unicode_module (__main__.TestSerialization) ... ok (0.008s)
2022-11-23T01:34:51.3084972Z   test_load_unicode_error_msg (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3085750Z   test_meta_serialization_weights_only_False (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3086581Z   test_meta_serialization_weights_only_True (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3087405Z   test_pathlike_serialization_weights_only_False (__main__.TestSerialization) ... ok (0.009s)
2022-11-23T01:34:51.3089461Z   test_pathlike_serialization_weights_only_True (__main__.TestSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:34:51.3090759Z   warnings.warn(message, UserWarning)
2022-11-23T01:34:51.3091218Z ok (0.008s)
2022-11-23T01:34:51.3091802Z   test_save_different_dtype_error (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3092557Z   test_save_different_dtype_unallocated (__main__.TestSerialization) ... ok (0.148s)
2022-11-23T01:34:51.3093257Z   test_serialization (__main__.TestSerialization) ... ok (0.017s)
2022-11-23T01:34:51.3093948Z   test_serialization_2gb_file (__main__.TestSerialization) ... ok (7.614s)
2022-11-23T01:34:51.3094673Z   test_serialization_backwards_compat (__main__.TestSerialization) ... ok (0.012s)
2022-11-23T01:34:51.3095459Z   test_serialization_backwards_compat_safe (__main__.TestSerialization) ... ok (0.012s)
2022-11-23T01:34:51.3096646Z   test_serialization_dill (__main__.TestSerialization) ... skip: "dill" not found or not correct version (0.001s)
2022-11-23T01:34:51.3097621Z   test_serialization_dill_version_not_supported (__main__.TestSerialization) ... skip: "dill" not found or is correct version (0.000s)
2022-11-23T01:34:51.3098483Z   test_serialization_efficient_zerotensor_weights_only_False (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3099323Z   test_serialization_efficient_zerotensor_weights_only_True (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3100059Z   test_serialization_fake_zip (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3100728Z   test_serialization_filelike (__main__.TestSerialization) ... ok (0.008s)
2022-11-23T01:34:51.3101650Z   test_serialization_filelike_api_requirements (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3102473Z   test_serialization_filelike_exceptions (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3103275Z   test_serialization_filelike_missing_attrs (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3104051Z   test_serialization_filelike_stress (__main__.TestSerialization) ... ok (0.592s)
2022-11-23T01:34:51.3104834Z   test_serialization_filelike_uses_readinto (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3105607Z   test_serialization_gzip (__main__.TestSerialization) ... ok (0.009s)
2022-11-23T01:34:51.3106336Z   test_serialization_map_location (__main__.TestSerialization) ... ok (0.075s)
2022-11-23T01:34:51.3107138Z   test_serialization_math_bits_weights_only_False (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3107697Z   test_serialization_math_bits_weights_only_True (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3108109Z   test_serialization_offset_gzip (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3108521Z   test_serialization_python_attr (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3108948Z   test_serialization_safe (__main__.TestSerialization) ... ok (0.017s)
2022-11-23T01:34:51.3109383Z   test_serialization_save_warnings (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3110560Z   test_serialization_sparse (__main__.TestSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:34:51.3111299Z   warnings.warn(message, UserWarning)
2022-11-23T01:34:51.3111573Z ok (0.016s)
2022-11-23T01:34:51.3111935Z   test_serialization_sparse_csr_invalid (__main__.TestSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3112385Z   test_serialization_sparse_invalid (__main__.TestSerialization) ... ok (0.004s)
2022-11-23T01:34:51.3112810Z   test_serialization_sparse_safe (__main__.TestSerialization) ... ok (0.023s)
2022-11-23T01:34:51.3113256Z   test_serialization_storage_slice (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3114490Z   test_serialization_zipfile_actually_jit (__main__.TestSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/serialization.py:794: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning)
2022-11-23T01:34:51.3115406Z   warnings.warn("'torch.load' received a zip file that looks like a TorchScript archive"
2022-11-23T01:34:51.3115750Z ok (0.014s)
2022-11-23T01:34:51.3116093Z   test_serialization_zipfile_utils (__main__.TestSerialization) ... ok (0.004s)
2022-11-23T01:34:51.3116555Z   test_serialization_zipfile_weights_only_False (__main__.TestSerialization) ... ok (0.017s)
2022-11-23T01:34:51.3117022Z   test_serialization_zipfile_weights_only_True (__main__.TestSerialization) ... ok (0.018s)
2022-11-23T01:34:51.3117473Z   test_serialize_device (__main__.TestSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3117877Z   test_weights_only_assert (__main__.TestSerialization) ... Hello World!
2022-11-23T01:34:51.3118211Z ok (0.001s)
2022-11-23T01:34:51.3118698Z   test_cloned_deepcopy_requires_grad_False (__main__.TestSubclassSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3119214Z   test_cloned_deepcopy_requires_grad_True (__main__.TestSubclassSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3119700Z   test_empty_class_serialization (__main__.TestSubclassSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3120156Z   test_tensor_subclass_deepcopy (__main__.TestSubclassSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3120638Z   test_tensor_subclass_getstate_overwrite (__main__.TestSubclassSerialization) ... ok (0.002s)
2022-11-23T01:34:51.3121167Z   test_tensor_subclass_wrapper_serialization (__main__.TestSubclassSerialization) ... ok (0.001s)
2022-11-23T01:34:51.3121534Z 
2022-11-23T01:34:51.3121847Z ----------------------------------------------------------------------
2022-11-23T01:34:51.3122178Z Ran 85 tests in 49.034s
2022-11-23T01:34:51.3122337Z 
2022-11-23T01:34:51.3122439Z OK (skipped=5)
2022-11-23T01:34:51.3122589Z 
2022-11-23T01:34:51.3122709Z Generating XML reports...
2022-11-23T01:34:51.3123319Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestOldSerialization-20221123013401.xml
2022-11-23T01:34:51.3124085Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestSerialization-20221123013401.xml
2022-11-23T01:34:51.3124872Z Generated XML report: test-reports/python-unittest/test_serialization/TEST-TestSubclassSerialization-20221123013401.xml
2022-11-23T01:34:51.3125232Z 
2022-11-23T01:34:51.3125667Z ##[endgroup]
2022-11-23T01:34:51.3126226Z FINISHED PRINTING LOG FILE of test_serialization (/var/lib/jenkins/workspace/test/test-reports/test_serialization_zae15u95)
2022-11-23T01:34:51.3127624Z 
2022-11-23T01:34:53.4152244Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:53.5150555Z Ignoring disabled issues:  []
2022-11-23T01:34:53.6797540Z Running test_set_default_mobile_cpu_allocator ... [2022-11-23 01:34:53.679356]
2022-11-23T01:34:53.6798843Z Executing ['/opt/conda/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:53.679659]
2022-11-23T01:34:55.6543229Z 
2022-11-23T01:34:55.6543791Z Expand the folded group to see the log file of test_set_default_mobile_cpu_allocator
2022-11-23T01:34:55.6545033Z ##[group]PRINTING LOG FILE of test_set_default_mobile_cpu_allocator (/var/lib/jenkins/workspace/test/test-reports/test_set_default_mobile_cpu_allocator_wnd5a2ue)
2022-11-23T01:34:55.6545499Z 
2022-11-23T01:34:55.6545672Z Running tests...
2022-11-23T01:34:55.6546292Z ----------------------------------------------------------------------
2022-11-23T01:34:55.6546787Z Test results will be stored in test-reports/python-unittest/test_set_default_mobile_cpu_allocator
2022-11-23T01:34:55.6547149Z   test_exception (__main__.TestSetDefaultMobileCPUAllocator) ... ok (0.254s)
2022-11-23T01:34:55.6547489Z   test_no_exception (__main__.TestSetDefaultMobileCPUAllocator) ... ok (0.001s)
2022-11-23T01:34:55.6547679Z 
2022-11-23T01:34:55.6547879Z ----------------------------------------------------------------------
2022-11-23T01:34:55.6548124Z Ran 2 tests in 0.255s
2022-11-23T01:34:55.6548237Z 
2022-11-23T01:34:55.6548301Z OK
2022-11-23T01:34:55.6548380Z 
2022-11-23T01:34:55.6548464Z Generating XML reports...
2022-11-23T01:34:55.6548985Z Generated XML report: test-reports/python-unittest/test_set_default_mobile_cpu_allocator/TEST-TestSetDefaultMobileCPUAllocator-20221123013455.xml
2022-11-23T01:34:55.6549286Z 
2022-11-23T01:34:55.6549521Z ##[endgroup]
2022-11-23T01:34:55.6549966Z FINISHED PRINTING LOG FILE of test_set_default_mobile_cpu_allocator (/var/lib/jenkins/workspace/test/test-reports/test_set_default_mobile_cpu_allocator_wnd5a2ue)
2022-11-23T01:34:55.6550227Z 
2022-11-23T01:34:57.5685448Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:57.6525083Z Ignoring disabled issues:  []
2022-11-23T01:34:57.6704597Z Running test_shape_ops ... [2022-11-23 01:34:57.670094]
2022-11-23T01:34:57.6705922Z Executing ['/opt/conda/bin/python', '-bb', 'test_shape_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:57.670372]
2022-11-23T01:34:59.6500158Z 
2022-11-23T01:34:59.6500855Z Expand the folded group to see the log file of test_shape_ops
2022-11-23T01:34:59.6502030Z ##[group]PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_vn2oqyem)
2022-11-23T01:34:59.6502404Z 
2022-11-23T01:34:59.6502533Z Running tests...
2022-11-23T01:34:59.6503222Z ----------------------------------------------------------------------
2022-11-23T01:34:59.6503809Z 
2022-11-23T01:34:59.6504180Z ----------------------------------------------------------------------
2022-11-23T01:34:59.6504593Z Ran 0 tests in 0.000s
2022-11-23T01:34:59.6504762Z 
2022-11-23T01:34:59.6504814Z OK
2022-11-23T01:34:59.6504909Z 
2022-11-23T01:34:59.6504998Z Generating XML reports...
2022-11-23T01:34:59.6505335Z Test results will be stored in test-reports/python-unittest/test_shape_ops
2022-11-23T01:34:59.6505514Z 
2022-11-23T01:34:59.6505738Z ##[endgroup]
2022-11-23T01:34:59.6506119Z FINISHED PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_vn2oqyem)
2022-11-23T01:34:59.6506332Z 
2022-11-23T01:35:01.6301208Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:35:01.7069592Z Ignoring disabled issues:  []
2022-11-23T01:35:01.7246039Z Running test_sort_and_select ... [2022-11-23 01:35:01.724352]
2022-11-23T01:35:01.7248249Z Executing ['/opt/conda/bin/python', '-bb', 'test_sort_and_select.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:01.724596]
2022-11-23T01:35:03.7027982Z 
2022-11-23T01:35:03.7028545Z Expand the folded group to see the log file of test_sort_and_select
2022-11-23T01:35:03.7029635Z ##[group]PRINTING LOG FILE of test_sort_and_select (/var/lib/jenkins/workspace/test/test-reports/test_sort_and_select_mq7w277n)
2022-11-23T01:35:03.7030079Z 
2022-11-23T01:35:03.7030197Z Running tests...
2022-11-23T01:35:03.7030862Z ----------------------------------------------------------------------
2022-11-23T01:35:03.7031168Z 
2022-11-23T01:35:03.7031531Z ----------------------------------------------------------------------
2022-11-23T01:35:03.7031964Z Ran 0 tests in 0.000s
2022-11-23T01:35:03.7032148Z 
2022-11-23T01:35:03.7032253Z OK
2022-11-23T01:35:03.7032415Z 
2022-11-23T01:35:03.7032565Z Generating XML reports...
2022-11-23T01:35:03.7033160Z Test results will be stored in test-reports/python-unittest/test_sort_and_select
2022-11-23T01:35:03.7033487Z 
2022-11-23T01:35:03.7033984Z ##[endgroup]
2022-11-23T01:35:03.7034738Z FINISHED PRINTING LOG FILE of test_sort_and_select (/var/lib/jenkins/workspace/test/test-reports/test_sort_and_select_mq7w277n)
2022-11-23T01:35:03.7035146Z 
2022-11-23T01:35:05.6340869Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:35:05.7150963Z Ignoring disabled issues:  []
2022-11-23T01:35:05.7328835Z Running test_sparse ... [2022-11-23 01:35:05.732618]
2022-11-23T01:35:05.7330971Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:05.732875]
2022-11-23T01:35:08.4674173Z 
2022-11-23T01:35:08.4674774Z Expand the folded group to see the log file of test_sparse
2022-11-23T01:35:08.4675594Z ##[group]PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_ia855swi)
2022-11-23T01:35:08.4675836Z 
2022-11-23T01:35:08.4675912Z Running tests...
2022-11-23T01:35:08.4676315Z ----------------------------------------------------------------------
2022-11-23T01:35:08.4676707Z Test results will be stored in test-reports/python-unittest/test_sparse
2022-11-23T01:35:08.4676982Z   test_basic (__main__.TestSparseMeta) ... ok (0.004s)
2022-11-23T01:35:08.4677282Z   test_cuda_from_cpu (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s)
2022-11-23T01:35:08.4677823Z   test_cuda_sparse_cpu_dense_add (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s)
2022-11-23T01:35:08.4678020Z 
2022-11-23T01:35:08.4678221Z ----------------------------------------------------------------------
2022-11-23T01:35:08.4678449Z Ran 3 tests in 0.005s
2022-11-23T01:35:08.4678566Z 
2022-11-23T01:35:08.4678638Z OK (skipped=2)
2022-11-23T01:35:08.4678745Z 
2022-11-23T01:35:08.4678830Z Generating XML reports...
2022-11-23T01:35:08.4679223Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseMeta-20221123013507.xml
2022-11-23T01:35:08.4679729Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseOneOff-20221123013507.xml
2022-11-23T01:35:08.4680023Z 
2022-11-23T01:35:08.4680251Z ##[endgroup]
2022-11-23T01:35:08.4680612Z FINISHED PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_ia855swi)
2022-11-23T01:35:08.4680819Z 
2022-11-23T01:35:10.4628293Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:35:10.5402706Z Ignoring disabled issues:  []
2022-11-23T01:35:10.5582763Z Running test_spectral_ops ... [2022-11-23 01:35:10.557885]
2022-11-23T01:35:10.5583850Z Executing ['/opt/conda/bin/python', '-bb', 'test_spectral_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:10.558145]
2022-11-23T01:35:14.2874746Z 
2022-11-23T01:35:14.2875750Z Expand the folded group to see the log file of test_spectral_ops
2022-11-23T01:35:14.2877406Z ##[group]PRINTING LOG FILE of test_spectral_ops (/var/lib/jenkins/workspace/test/test-reports/test_spectral_ops_kh2hdox5)
2022-11-23T01:35:14.2878513Z /var/lib/jenkins/workspace/test/test_spectral_ops.py:44: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
2022-11-23T01:35:14.2879891Z   if LooseVersion(np.__version__) >= '1.20.0' and (
2022-11-23T01:35:14.2881210Z /var/lib/jenkins/workspace/test/test_spectral_ops.py:45: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
2022-11-23T01:35:14.2882238Z   not has_scipy_fft or LooseVersion(scipy.__version__) >= '1.6.0')
2022-11-23T01:35:14.2882597Z 
2022-11-23T01:35:14.2882756Z Running tests...
2022-11-23T01:35:14.2883440Z ----------------------------------------------------------------------
2022-11-23T01:35:14.2884441Z 
2022-11-23T01:35:14.2885019Z ----------------------------------------------------------------------
2022-11-23T01:35:14.2885566Z Ran 0 tests in 0.000s
2022-11-23T01:35:14.2885813Z 
2022-11-23T01:35:14.2885943Z OK
2022-11-23T01:35:14.2886133Z 
2022-11-23T01:35:14.2887959Z Generating XML reports...
2022-11-23T01:35:14.2888763Z Test results will be stored in test-reports/python-unittest/test_spectral_ops
2022-11-23T01:35:14.2889105Z 
2022-11-23T01:35:14.2889678Z ##[endgroup]
2022-11-23T01:35:14.2890373Z FINISHED PRINTING LOG FILE of test_spectral_ops (/var/lib/jenkins/workspace/test/test-reports/test_spectral_ops_kh2hdox5)
2022-11-23T01:35:14.2890760Z 
2022-11-23T01:35:16.2749950Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:35:16.3519574Z Ignoring disabled issues:  []
2022-11-23T01:35:16.3700308Z Running test_stateless ... [2022-11-23 01:35:16.369756]
2022-11-23T01:35:16.3702514Z Executing ['/opt/conda/bin/python', '-bb', 'test_stateless.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:16.370025]
2022-11-23T01:35:24.9230223Z 
2022-11-23T01:35:24.9236038Z Expand the folded group to see the log file of test_stateless
2022-11-23T01:35:24.9240964Z ##[group]PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_raqie0kg)
2022-11-23T01:35:24.9241755Z 
2022-11-23T01:35:24.9241871Z Running tests...
2022-11-23T01:35:24.9242573Z ----------------------------------------------------------------------
2022-11-23T01:35:24.9243298Z Test results will be stored in test-reports/python-unittest/test_stateless
2022-11-23T01:35:24.9243943Z   test_runs_with_optimize_flag (__main__.TestPythonOptimizeMode) ... ok (5.079s)
2022-11-23T01:35:24.9244844Z   test_private_stateless_warns (__main__.TestStatelessDeprecation) ... ok (1.465s)
2022-11-23T01:35:24.9245565Z   test_circular_references (__main__.TestStatelessFunctionalAPI) ... ok (0.003s)
2022-11-23T01:35:24.9246203Z   test_functional_batch_norm (__main__.TestStatelessFunctionalAPI) ... ok (0.002s)
2022-11-23T01:35:24.9246822Z   test_functional_call (__main__.TestStatelessFunctionalAPI) ... ok (0.002s)
2022-11-23T01:35:24.9247673Z   test_functional_call_with_data_parallel (__main__.TestStatelessFunctionalAPI) ... skip: multi-GPU not supported (0.000s)
2022-11-23T01:35:24.9248399Z   test_functional_call_with_gradient (__main__.TestStatelessFunctionalAPI) ... ok (0.002s)
2022-11-23T01:35:24.9249137Z   test_functional_call_with_jit (__main__.TestStatelessFunctionalAPI) ... ok (0.055s)
2022-11-23T01:35:24.9249782Z   test_reparamertize_module_fail_reset_to_original (__main__.TestStatelessFunctionalAPI) ... ok (0.029s)
2022-11-23T01:35:24.9250481Z   test_reparametrized_module_change_parametrization_original (__main__.TestStatelessFunctionalAPI) ... ok (0.004s)
2022-11-23T01:35:24.9251170Z   test_setattr (__main__.TestStatelessFunctionalAPI) ... ok (0.002s)
2022-11-23T01:35:24.9251669Z   test_tied_weights_warns (__main__.TestStatelessFunctionalAPI) ... ok (0.002s)
2022-11-23T01:35:24.9252080Z 
2022-11-23T01:35:24.9252412Z ----------------------------------------------------------------------
2022-11-23T01:35:24.9252926Z Ran 12 tests in 6.647s
2022-11-23T01:35:24.9253114Z 
2022-11-23T01:35:24.9253232Z OK (skipped=1)
2022-11-23T01:35:24.9253534Z 
2022-11-23T01:35:24.9253669Z Generating XML reports...
2022-11-23T01:35:24.9254452Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestPythonOptimizeMode-20221123013517.xml
2022-11-23T01:35:24.9255493Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessDeprecation-20221123013517.xml
2022-11-23T01:35:24.9256734Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessFunctionalAPI-20221123013517.xml
2022-11-23T01:35:24.9257363Z 
2022-11-23T01:35:24.9257713Z ##[endgroup]
2022-11-23T01:35:24.9258537Z FINISHED PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_raqie0kg)
2022-11-23T01:35:24.9259043Z 
2022-11-23T01:35:26.8804351Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:35:26.9659155Z Ignoring disabled issues:  []
2022-11-23T01:35:26.9865126Z Running test_subclass ... [2022-11-23 01:35:26.986171]
2022-11-23T01:35:26.9866557Z Executing ['/opt/conda/bin/python', '-bb', 'test_subclass.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:26.986444]
2022-11-23T01:35:29.3051642Z 
2022-11-23T01:35:29.3052182Z Expand the folded group to see the log file of test_subclass
2022-11-23T01:35:29.3053225Z ##[group]PRINTING LOG FILE of test_subclass (/var/lib/jenkins/workspace/test/test-reports/test_subclass_q181wd7b)
2022-11-23T01:35:29.3053806Z 
2022-11-23T01:35:29.3053975Z Running tests...
2022-11-23T01:35:29.3054809Z ----------------------------------------------------------------------
2022-11-23T01:35:29.3055697Z Test results will be stored in test-reports/python-unittest/test_subclass
2022-11-23T01:35:29.3056638Z   test_deepcopy_base_tensor_as_param_False (__main__.TestSubclass) ... ok (0.293s)
2022-11-23T01:35:29.3057349Z   test_deepcopy_base_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3058087Z   test_deepcopy_diag_tensor_below_as_param_False (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3058869Z   test_deepcopy_diag_tensor_below_as_param_True (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3059659Z   test_deepcopy_logging_tensor_as_param_False (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3060403Z   test_deepcopy_logging_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3061195Z   test_deepcopy_non_wrapper_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3062208Z   test_deepcopy_non_wrapper_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3062980Z   test_deepcopy_sparse_tensor_as_param_False (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3063712Z   test_deepcopy_sparse_tensor_as_param_True (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3064475Z   test_lazy_module_base_tensor (__main__.TestSubclass) ... expected failure (0.001s)
2022-11-23T01:35:29.3066225Z   test_lazy_module_diag_tensor_below (__main__.TestSubclass) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:35:29.3067699Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:35:29.3068278Z expected failure (0.002s)
2022-11-23T01:35:29.3068912Z   test_lazy_module_logging_tensor (__main__.TestSubclass) ... expected failure (0.002s)
2022-11-23T01:35:29.3069718Z   test_lazy_module_non_wrapper_tensor (__main__.TestSubclass) ... expected failure (0.002s)
2022-11-23T01:35:29.3070511Z   test_lazy_module_sparse_tensor (__main__.TestSubclass) ... expected failure (0.002s)
2022-11-23T01:35:29.3071218Z   test_module_optimization_base_tensor (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3071959Z   test_module_optimization_diag_tensor_below (__main__.TestSubclass) ... ok (0.006s)
2022-11-23T01:35:29.3072708Z   test_module_optimization_logging_tensor (__main__.TestSubclass) ... ok (0.004s)
2022-11-23T01:35:29.3073453Z   test_module_optimization_non_wrapper_tensor (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3074297Z   test_module_optimization_sparse_tensor (__main__.TestSubclass) ... ok (0.007s)
2022-11-23T01:35:29.3075145Z   test_non_rewrapping_torch_dispatch_subclass_as_parameter_throws_for_detach (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3076054Z   test_param_invariants_base_tensor_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3076895Z   test_param_invariants_base_tensor_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3077752Z   test_param_invariants_diag_tensor_below_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3078570Z   test_param_invariants_diag_tensor_below_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3079425Z   test_param_invariants_logging_tensor_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3080328Z   test_param_invariants_logging_tensor_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3081240Z   test_param_invariants_non_wrapper_tensor_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3082147Z   test_param_invariants_non_wrapper_tensor_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3083039Z   test_param_invariants_sparse_tensor_tensor_requires_grad_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3083931Z   test_param_invariants_sparse_tensor_tensor_requires_grad_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3084801Z   test_parametrization_base_tensor_leave_parametrized_False (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3085679Z   test_parametrization_base_tensor_leave_parametrized_True (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3086564Z   test_parametrization_diag_tensor_below_leave_parametrized_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3087465Z   test_parametrization_diag_tensor_below_leave_parametrized_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3088360Z   test_parametrization_logging_tensor_leave_parametrized_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3089243Z   test_parametrization_logging_tensor_leave_parametrized_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3090205Z   test_parametrization_non_wrapper_tensor_leave_parametrized_False (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3091143Z   test_parametrization_non_wrapper_tensor_leave_parametrized_True (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3092035Z   test_parametrization_sparse_tensor_leave_parametrized_False (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3092883Z   test_parametrization_sparse_tensor_leave_parametrized_True (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3093674Z   test_repr_base_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3094449Z   test_repr_base_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3095177Z   test_repr_diag_tensor_below_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3095910Z   test_repr_diag_tensor_below_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3096779Z   test_repr_logging_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3097524Z   test_repr_logging_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3098262Z   test_repr_non_wrapper_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3099018Z   test_repr_non_wrapper_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3099758Z   test_repr_sparse_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3100470Z   test_repr_sparse_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3101202Z   test_serialization_base_tensor_as_param_False (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3101951Z   test_serialization_base_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3102773Z   test_serialization_diag_tensor_below_as_param_False (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3103572Z   test_serialization_diag_tensor_below_as_param_True (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3104350Z   test_serialization_logging_tensor_as_param_False (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3105147Z   test_serialization_logging_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3105951Z   test_serialization_non_wrapper_tensor_as_param_False (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3106747Z   test_serialization_non_wrapper_tensor_as_param_True (__main__.TestSubclass) ... ok (0.002s)
2022-11-23T01:35:29.3107544Z   test_serialization_sparse_tensor_as_param_False (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3108351Z   test_serialization_sparse_tensor_as_param_True (__main__.TestSubclass) ... ok (0.003s)
2022-11-23T01:35:29.3109126Z   test_type_propagation_base_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3109927Z   test_type_propagation_base_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3110770Z   test_type_propagation_diag_tensor_below_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3111607Z   test_type_propagation_diag_tensor_below_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3112411Z   test_type_propagation_logging_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3113218Z   test_type_propagation_logging_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3114109Z   test_type_propagation_non_wrapper_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3114966Z   test_type_propagation_non_wrapper_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3115768Z   test_type_propagation_sparse_tensor_as_param_False (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3116577Z   test_type_propagation_sparse_tensor_as_param_True (__main__.TestSubclass) ... ok (0.001s)
2022-11-23T01:35:29.3117144Z 
2022-11-23T01:35:29.3117660Z ----------------------------------------------------------------------
2022-11-23T01:35:29.3118202Z Ran 71 tests in 0.425s
2022-11-23T01:35:29.3118459Z 
2022-11-23T01:35:29.3118653Z OK (expected failures=5)
2022-11-23T01:35:29.3118935Z 
2022-11-23T01:35:29.3119134Z Generating XML reports...
2022-11-23T01:35:29.3120081Z Generated XML report: test-reports/python-unittest/test_subclass/TEST-TestSubclass-20221123013528.xml
2022-11-23T01:35:29.3120622Z 
2022-11-23T01:35:29.3121181Z ##[endgroup]
2022-11-23T01:35:29.3122084Z FINISHED PRINTING LOG FILE of test_subclass (/var/lib/jenkins/workspace/test/test-reports/test_subclass_q181wd7b)
2022-11-23T01:35:29.3122713Z 
2022-11-23T01:35:31.3192983Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:35:31.3995145Z Ignoring disabled issues:  []
2022-11-23T01:35:31.4174388Z Running test_tensorboard ... [2022-11-23 01:35:31.417097]
2022-11-23T01:35:31.4175717Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorboard.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:35:31.417358]
2022-11-23T01:36:03.4633822Z 
2022-11-23T01:36:03.4634444Z Expand the folded group to see the log file of test_tensorboard
2022-11-23T01:36:03.4635249Z ##[group]PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_m2yn64ni)
2022-11-23T01:36:03.4635476Z 
2022-11-23T01:36:03.4637439Z Running tests...
2022-11-23T01:36:03.4638105Z ----------------------------------------------------------------------
2022-11-23T01:36:03.4638781Z Test results will be stored in test-reports/python-unittest/test_tensorboard
2022-11-23T01:36:03.4639517Z   test_embedding (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()?
2022-11-23T01:36:03.4640017Z ok (0.028s)
2022-11-23T01:36:03.4640540Z   test_embedding_64 (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()?
2022-11-23T01:36:03.4641029Z ok (0.033s)
2022-11-23T01:36:03.4641438Z   test_figure (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s)
2022-11-23T01:36:03.4641982Z   test_figure_list (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s)
2022-11-23T01:36:03.4642503Z   test_caffe2_np (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s)
2022-11-23T01:36:03.4643045Z   test_caffe2_np_expect_fail (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s)
2022-11-23T01:36:03.4643609Z   test_caffe2_simple_cnnmodel (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s)
2022-11-23T01:36:03.4644170Z   test_caffe2_simple_model (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.002s)
2022-11-23T01:36:03.4644703Z   test_pytorch_np_expect_fail (__main__.TestTensorBoardNumpy) ... ok (0.000s)
2022-11-23T01:36:03.4645192Z   test_scalar (__main__.TestTensorBoardNumpy) ... ok (0.001s)
2022-11-23T01:36:03.4645715Z   test_pytorch_autograd_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.000s)
2022-11-23T01:36:03.4646266Z   test_pytorch_histogram (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.006s)
2022-11-23T01:36:03.4646837Z   test_pytorch_histogram_raw (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.007s)
2022-11-23T01:36:03.4647386Z   test_pytorch_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.001s)
2022-11-23T01:36:03.4647903Z   test_pytorch_write (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.001s)
2022-11-23T01:36:03.4648445Z   test_mlp_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.093s)
2022-11-23T01:36:03.4648992Z   test_nested_nn_squential (__main__.TestTensorBoardPytorchGraph) ... ok (0.072s)
2022-11-23T01:36:03.4649547Z   test_pytorch_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.020s)
2022-11-23T01:36:03.4651546Z   test_pytorch_graph_dict_input (__main__.TestTensorBoardPytorchGraph) ... Encountering a dict at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior.
2022-11-23T01:36:03.4652651Z Error occurs, No graph saved
2022-11-23T01:36:03.4652943Z ok (0.032s)
2022-11-23T01:36:03.4653369Z   test_torchvision_smoke (__main__.TestTensorBoardPytorchGraph) ... ok (29.088s)
2022-11-23T01:36:03.4654014Z   test_wrong_input_size (__main__.TestTensorBoardPytorchGraph) ... mat1 and mat2 shapes cannot be multiplied (1x9 and 3x5)
2022-11-23T01:36:03.4654508Z Error occurs, No graph saved
2022-11-23T01:36:03.4654901Z ok (0.014s)
2022-11-23T01:36:03.4655356Z   test_audio (__main__.TestTensorBoardSummary) ... warning: audio amplitude out of range, auto clipped.
2022-11-23T01:36:03.4655781Z ok (0.010s)
2022-11-23T01:36:03.4656174Z   test_custom_scalars (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:36:03.4656895Z   test_empty_input (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:36:03.4657375Z   test_float32_image (__main__.TestTensorBoardSummary)
2022-11-23T01:36:03.4657851Z Tests that float32 image (pixel values in [0, 1]) are scaled correctly ... ok (0.001s)
2022-11-23T01:36:03.4658362Z   test_histogram_auto (__main__.TestTensorBoardSummary) ... ok (0.003s)
2022-11-23T01:36:03.4658868Z   test_histogram_doane (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4659358Z   test_histogram_fd (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4659853Z   test_hparams_bool (__main__.TestTensorBoardSummary) ... ok (0.004s)
2022-11-23T01:36:03.4660376Z   test_hparams_domain_discrete (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4660884Z   test_hparams_number (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4661386Z   test_hparams_smoke (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4661888Z   test_hparams_string (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4662518Z   test_hparams_wrong_parameter (__main__.TestTensorBoardSummary) ... parameter: hparam_dict should be a dictionary, nothing logged.
2022-11-23T01:36:03.4663095Z parameter: metric_dict should be a dictionary, nothing logged.
2022-11-23T01:36:03.4663462Z ok (0.002s)
2022-11-23T01:36:03.4663878Z   test_image_with_3_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:03.4664386Z   test_image_with_boxes (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:03.4664902Z   test_image_with_one_channel (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4665446Z   test_image_with_one_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4665987Z   test_image_without_channel (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:03.4666475Z   test_list_input (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:36:03.4666950Z   test_mesh (__main__.TestTensorBoardSummary) ... ok (0.003s)
2022-11-23T01:36:03.4667434Z   test_scalar_new_style (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4667896Z   test_text (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4668342Z   test_uint8_image (__main__.TestTensorBoardSummary)
2022-11-23T01:36:03.4668812Z Tests that uint8 image (pixel values in [0, 255]) is not changed ... ok (0.001s)
2022-11-23T01:36:03.4669289Z   test_video (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:03.4669768Z   test_pathlib (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2022-11-23T01:36:03.4670321Z   test_summary_writer_close (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2022-11-23T01:36:03.4670882Z   test_summary_writer_ctx (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2022-11-23T01:36:03.4671417Z   test_convert_to_HWC_dtype_remains_same (__main__.TestTensorBoardUtils) ... ok (0.001s)
2022-11-23T01:36:03.4672052Z   test_numpy_vid_uint8 (__main__.TestTensorBoardUtils) ... ok (0.018s)
2022-11-23T01:36:03.4672550Z   test_prepare_video (__main__.TestTensorBoardUtils) ... ok (0.089s)
2022-11-23T01:36:03.4673007Z   test_to_HWC (__main__.TestTensorBoardUtils) ... ok (0.001s)
2022-11-23T01:36:03.4673516Z   test_writer (__main__.TestTensorBoardWriter) ... add_video needs package moviepy
2022-11-23T01:36:03.4674020Z ok (0.049s)
2022-11-23T01:36:03.4674196Z 
2022-11-23T01:36:03.4674584Z ----------------------------------------------------------------------
2022-11-23T01:36:03.4674971Z Ran 53 tests in 29.608s
2022-11-23T01:36:03.4675165Z 
2022-11-23T01:36:03.4675286Z OK (skipped=6)
2022-11-23T01:36:03.4675554Z 
2022-11-23T01:36:03.4675703Z Generating XML reports...
2022-11-23T01:36:03.4676458Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardEmbedding-20221123013533.xml
2022-11-23T01:36:03.4677409Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardNumpy-20221123013533.xml
2022-11-23T01:36:03.4678390Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPyTorchNumpy-20221123013533.xml
2022-11-23T01:36:03.4679394Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPytorchGraph-20221123013533.xml
2022-11-23T01:36:03.4680341Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummary-20221123013533.xml
2022-11-23T01:36:03.4681318Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummaryWriter-20221123013533.xml
2022-11-23T01:36:03.4682273Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardUtils-20221123013533.xml
2022-11-23T01:36:03.4683198Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardWriter-20221123013533.xml
2022-11-23T01:36:03.4684100Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardFigure-20221123013533.xml
2022-11-23T01:36:03.4684514Z 
2022-11-23T01:36:03.4684945Z ##[endgroup]
2022-11-23T01:36:03.4685618Z FINISHED PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_m2yn64ni)
2022-11-23T01:36:03.4685989Z 
2022-11-23T01:36:05.4669869Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:36:05.5442636Z Ignoring disabled issues:  []
2022-11-23T01:36:05.5636489Z Running test_tensorexpr_pybind ... [2022-11-23 01:36:05.563285]
2022-11-23T01:36:05.5637876Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:05.563569]
2022-11-23T01:36:08.2591613Z 
2022-11-23T01:36:08.2592661Z Expand the folded group to see the log file of test_tensorexpr_pybind
2022-11-23T01:36:08.2593834Z ##[group]PRINTING LOG FILE of test_tensorexpr_pybind (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_pybind_r56qawta)
2022-11-23T01:36:08.2595316Z 
2022-11-23T01:36:08.2595788Z Running tests...
2022-11-23T01:36:08.2596484Z ----------------------------------------------------------------------
2022-11-23T01:36:08.2597045Z Test results will be stored in test-reports/python-unittest/test_tensorexpr_pybind
2022-11-23T01:36:08.2597639Z   test_unary_ops (__main__.TestExprHandlePyBind) ... ok (0.280s)
2022-11-23T01:36:08.2598203Z   test_alloc_in_loop (__main__.TestTensorExprPyBind) ... ok (0.039s)
2022-11-23T01:36:08.2598534Z   test_call_raw (__main__.TestTensorExprPyBind) ... ok (0.002s)
2022-11-23T01:36:08.2598803Z   test_dtype_error (__main__.TestTensorExprPyBind) ... ok (0.001s)
2022-11-23T01:36:08.2599283Z   test_dynamic_shape (__main__.TestTensorExprPyBind) ... ok (0.002s)
2022-11-23T01:36:08.2681086Z   test_dynamic_shape_2d (__main__.TestTensorExprPyBind) ... ok (0.002s)
2022-11-23T01:36:08.2683169Z   test_external_calls (__main__.TestTensorExprPyBind) ... ok (0.001s)
2022-11-23T01:36:08.2683890Z   test_kernel_shape_prop (__main__.TestTensorExprPyBind) ... ok (0.205s)
2022-11-23T01:36:08.2685877Z   test_kernel_shape_prop_module (__main__.TestTensorExprPyBind) ... ok (0.045s)
2022-11-23T01:36:08.2686657Z   test_kernel_with_custom_lowering (__main__.TestTensorExprPyBind) ... ok (0.031s)
2022-11-23T01:36:08.2687392Z   test_kernel_with_expand (__main__.TestTensorExprPyBind) ... ok (0.031s)
2022-11-23T01:36:08.2688075Z   test_kernel_with_permute (__main__.TestTensorExprPyBind) ... ok (0.068s)
2022-11-23T01:36:08.2688770Z   test_kernel_with_scalar_inputs (__main__.TestTensorExprPyBind) ... ok (0.022s)
2022-11-23T01:36:08.2689436Z   test_kernel_with_t (__main__.TestTensorExprPyBind) ... ok (0.029s)
2022-11-23T01:36:08.2690287Z   test_kernel_with_tensor_inputs (__main__.TestTensorExprPyBind) ... ok (0.027s)
2022-11-23T01:36:08.2691021Z   test_kernel_with_transpose (__main__.TestTensorExprPyBind) ... ok (0.029s)
2022-11-23T01:36:08.2693596Z   test_simple_sum (__main__.TestTensorExprPyBind) ... ok (0.002s)
2022-11-23T01:36:08.2693979Z 
2022-11-23T01:36:08.2694565Z ----------------------------------------------------------------------
2022-11-23T01:36:08.2695149Z Ran 17 tests in 0.818s
2022-11-23T01:36:08.2695418Z 
2022-11-23T01:36:08.2695558Z OK
2022-11-23T01:36:08.2697245Z 
2022-11-23T01:36:08.2698393Z Generating XML reports...
2022-11-23T01:36:08.2699024Z Generated XML report: test-reports/python-unittest/test_tensorexpr_pybind/TEST-TestExprHandlePyBind-20221123013607.xml
2022-11-23T01:36:08.2701064Z Generated XML report: test-reports/python-unittest/test_tensorexpr_pybind/TEST-TestTensorExprPyBind-20221123013607.xml
2022-11-23T01:36:08.2701438Z 
2022-11-23T01:36:08.2701960Z ##[endgroup]
2022-11-23T01:36:08.2702689Z FINISHED PRINTING LOG FILE of test_tensorexpr_pybind (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_pybind_r56qawta)
2022-11-23T01:36:08.2703047Z 
2022-11-23T01:36:10.5710501Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:36:10.6497408Z Ignoring disabled issues:  []
2022-11-23T01:36:10.6682835Z Running test_testing ... [2022-11-23 01:36:10.667873]
2022-11-23T01:36:10.6684348Z Executing ['/opt/conda/bin/python', '-bb', 'test_testing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:10.668184]
2022-11-23T01:36:38.7373432Z 
2022-11-23T01:36:38.7374081Z Expand the folded group to see the log file of test_testing
2022-11-23T01:36:38.7456015Z ##[group]PRINTING LOG FILE of test_testing (/var/lib/jenkins/workspace/test/test-reports/test_testing_ekmcuqfj)
2022-11-23T01:36:38.7456328Z 
2022-11-23T01:36:38.7456414Z Running tests...
2022-11-23T01:36:38.7457012Z ----------------------------------------------------------------------
2022-11-23T01:36:38.7457532Z Test results will be stored in test-reports/python-unittest/test_testing
2022-11-23T01:36:38.7457906Z   test_bool (__main__.TestAssertClose) ... ok (0.003s)
2022-11-23T01:36:38.7488644Z   test_default_tolerance_selection_mismatching_dtypes (__main__.TestAssertClose) ... ok (0.003s)
2022-11-23T01:36:38.7489214Z   test_docstring_examples (__main__.TestAssertClose) ... ok (0.033s)
2022-11-23T01:36:38.7489807Z   test_matching (__main__.TestAssertClose) ... ok (0.001s)
2022-11-23T01:36:38.7490284Z   test_matching_atol (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7490586Z   test_matching_conjugate_bit (__main__.TestAssertClose) ... ok (0.003s)
2022-11-23T01:36:38.7490867Z   test_matching_nan (__main__.TestAssertClose) ... ok (0.004s)
2022-11-23T01:36:38.7491140Z   test_matching_nan_with_equal_nan (__main__.TestAssertClose) ... ok (0.003s)
2022-11-23T01:36:38.7491424Z   test_matching_rtol (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7491680Z   test_meta (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7491940Z   test_mismatching_dtype (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7492238Z   test_mismatching_dtype_no_check (__main__.TestAssertClose) ... ok (0.003s)
2022-11-23T01:36:38.7493101Z   test_mismatching_layout (__main__.TestAssertClose) ... /var/lib/jenkins/workspace/test/test_testing.py:619: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:36:38.7493760Z   sparse_csr = strided.to_sparse_csr()
2022-11-23T01:36:38.7493957Z ok (0.015s)
2022-11-23T01:36:38.7494182Z   test_mismatching_layout_no_check (__main__.TestAssertClose) ... ok (0.007s)
2022-11-23T01:36:38.7494476Z   test_mismatching_shape (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7494762Z   test_mismatching_stride (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7495108Z   test_mismatching_stride_no_check (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7495399Z   test_mismatching_types (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7495695Z   test_mismatching_types_subclasses (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7496007Z   test_mismatching_types_type_equality (__main__.TestAssertClose) ... ok (0.001s)
2022-11-23T01:36:38.7496290Z   test_mismatching_values (__main__.TestAssertClose) ... ok (0.001s)
2022-11-23T01:36:38.7496764Z   test_mismatching_values_atol (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7497059Z   test_mismatching_values_rtol (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7497314Z   test_none (__main__.TestAssertClose) ... ok (0.001s)
2022-11-23T01:36:38.7497576Z   test_none_mismatch (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7497838Z   test_numpy (__main__.TestAssertClose) ... ok (0.003s)
2022-11-23T01:36:38.7498099Z   test_only_atol (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7498343Z   test_only_rtol (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7498593Z   test_scalar (__main__.TestAssertClose) ... ok (0.005s)
2022-11-23T01:36:38.7498866Z   test_unexpected_error_compare (__main__.TestAssertClose) ... ok (0.003s)
2022-11-23T01:36:38.7499157Z   test_unexpected_error_originate (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7499440Z   test_unknown_layout (__main__.TestAssertClose) ... ok (0.002s)
2022-11-23T01:36:38.7499707Z   test_unknown_type (__main__.TestAssertClose) ... ok (0.003s)
2022-11-23T01:36:38.7499994Z   test_mapping_mismatching_keys (__main__.TestAssertCloseContainer) ... ok (0.001s)
2022-11-23T01:36:38.7500334Z   test_mapping_mismatching_values_msg (__main__.TestAssertCloseContainer) ... ok (0.002s)
2022-11-23T01:36:38.7500675Z   test_sequence_mismatching_len (__main__.TestAssertCloseContainer) ... ok (0.001s)
2022-11-23T01:36:38.7501014Z   test_sequence_mismatching_values_msg (__main__.TestAssertCloseContainer) ... ok (0.002s)
2022-11-23T01:36:38.7501325Z   test_abs_diff (__main__.TestAssertCloseErrorMessage) ... ok (0.005s)
2022-11-23T01:36:38.7501635Z   test_abs_diff_scalar (__main__.TestAssertCloseErrorMessage) ... ok (0.002s)
2022-11-23T01:36:38.7501943Z   test_atol (__main__.TestAssertCloseErrorMessage) ... ok (0.006s)
2022-11-23T01:36:38.7502241Z   test_identifier_scalars (__main__.TestAssertCloseErrorMessage) ... ok (0.002s)
2022-11-23T01:36:38.7502576Z   test_identifier_tensor_likes (__main__.TestAssertCloseErrorMessage) ... ok (0.005s)
2022-11-23T01:36:38.7502906Z   test_mismatched_elements (__main__.TestAssertCloseErrorMessage) ... ok (0.005s)
2022-11-23T01:36:38.7503226Z   test_msg_callable (__main__.TestAssertCloseErrorMessage) ... ok (0.003s)
2022-11-23T01:36:38.7503519Z   test_msg_str (__main__.TestAssertCloseErrorMessage) ... ok (0.003s)
2022-11-23T01:36:38.7503823Z   test_not_close (__main__.TestAssertCloseErrorMessage) ... ok (0.013s)
2022-11-23T01:36:38.7504128Z   test_not_equal (__main__.TestAssertCloseErrorMessage) ... ok (0.005s)
2022-11-23T01:36:38.7504418Z   test_rel_diff (__main__.TestAssertCloseErrorMessage) ... ok (0.005s)
2022-11-23T01:36:38.7504733Z   test_rel_diff_scalar (__main__.TestAssertCloseErrorMessage) ... ok (0.002s)
2022-11-23T01:36:38.7505084Z   test_rtol (__main__.TestAssertCloseErrorMessage) ... ok (0.005s)
2022-11-23T01:36:38.7505392Z   test_zero_div_zero (__main__.TestAssertCloseErrorMessage) ... ok (0.005s)
2022-11-23T01:36:38.7505699Z   test_matching_per_channel (__main__.TestAssertCloseQuantized) ... ok (0.021s)
2022-11-23T01:36:38.7506022Z   test_matching_per_tensor (__main__.TestAssertCloseQuantized) ... ok (0.004s)
2022-11-23T01:36:38.7506348Z   test_mismatching_is_quantized (__main__.TestAssertCloseQuantized) ... ok (0.002s)
2022-11-23T01:36:38.7506663Z   test_mismatching_qscheme (__main__.TestAssertCloseQuantized) ... ok (0.003s)
2022-11-23T01:36:38.7506969Z   test_matching (__main__.TestAssertCloseSparseBSC) ... ok (0.005s)
2022-11-23T01:36:38.7507331Z   test_mismatching_ccol_indices_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.006s)
2022-11-23T01:36:38.7507669Z   test_mismatching_row_indices_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.006s)
2022-11-23T01:36:38.7507989Z   test_mismatching_values_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.006s)
2022-11-23T01:36:38.7508299Z   test_matching (__main__.TestAssertCloseSparseBSR) ... ok (0.003s)
2022-11-23T01:36:38.7508614Z   test_mismatching_col_indices_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.006s)
2022-11-23T01:36:38.7508940Z   test_mismatching_crow_indices_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.005s)
2022-11-23T01:36:38.7509271Z   test_mismatching_values_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.006s)
2022-11-23T01:36:38.7509591Z   test_matching_coalesced (__main__.TestAssertCloseSparseCOO) ... ok (0.003s)
2022-11-23T01:36:38.7509913Z   test_matching_uncoalesced (__main__.TestAssertCloseSparseCOO) ... ok (0.003s)
2022-11-23T01:36:38.7510229Z   test_mismatching_indices_msg (__main__.TestAssertCloseSparseCOO) ... ok (0.005s)
2022-11-23T01:36:38.7510545Z   test_mismatching_nnz (__main__.TestAssertCloseSparseCOO) ... ok (0.003s)
2022-11-23T01:36:38.7510870Z   test_mismatching_sparse_dims (__main__.TestAssertCloseSparseCOO) ... ok (0.003s)
2022-11-23T01:36:38.7511184Z   test_mismatching_values_msg (__main__.TestAssertCloseSparseCOO) ... ok (0.006s)
2022-11-23T01:36:38.7511493Z   test_matching (__main__.TestAssertCloseSparseCSC) ... ok (0.003s)
2022-11-23T01:36:38.7511811Z   test_mismatching_ccol_indices_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.005s)
2022-11-23T01:36:38.7512143Z   test_mismatching_row_indices_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.006s)
2022-11-23T01:36:38.7512460Z   test_mismatching_values_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.006s)
2022-11-23T01:36:38.7512796Z   test_hybrid_support (__main__.TestAssertCloseSparseCSR) ... expected failure (0.010s)
2022-11-23T01:36:38.7513118Z   test_matching (__main__.TestAssertCloseSparseCSR) ... ok (0.003s)
2022-11-23T01:36:38.7513420Z   test_mismatching_col_indices_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.006s)
2022-11-23T01:36:38.7513817Z   test_mismatching_crow_indices_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.006s)
2022-11-23T01:36:38.7514158Z   test_mismatching_values_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.006s)
2022-11-23T01:36:38.7514464Z   test_filtering_env_var (__main__.TestFrameworkUtils) ... ok (9.521s)
2022-11-23T01:36:38.7514722Z   test_circular_dependencies (__main__.TestImports)
2022-11-23T01:36:38.7515205Z Checks that all modules inside torch can be imported ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:36:38.7515727Z 2022-11-23 01:36:31,435 - torch.distributed.nn.jit.instantiator - INFO - Created a temporary directory at /tmp/tmpdxlmyi12
2022-11-23T01:36:38.7516248Z 2022-11-23 01:36:31,436 - torch.distributed.nn.jit.instantiator - INFO - Writing /tmp/tmpdxlmyi12/_remote_module_non_scriptable.py
2022-11-23T01:36:38.7516549Z ok (9.322s)
2022-11-23T01:36:38.7516884Z   test_no_mutate_global_logging_on_import_path_functorch (__main__.TestImports) ... ok (1.782s)
2022-11-23T01:36:38.7517218Z   test_no_mutate_global_logging_on_import_path_torch (__main__.TestImports) ... ok (1.611s)
2022-11-23T01:36:38.7517759Z   test_no_warning_on_import (__main__.TestImports) ... /var/lib/jenkins/workspace/test/test_testing.py:1837: DeprecationWarning: Please use assertEqual instead.
2022-11-23T01:36:38.7518098Z   self.assertEquals(out, "")
2022-11-23T01:36:38.7518284Z ok (1.677s)
2022-11-23T01:36:38.7518484Z   test_sample_input (__main__.TestOpInfos) ... ok (0.002s)
2022-11-23T01:36:38.7518755Z   test_sample_input_metadata (__main__.TestOpInfos) ... ok (0.001s)
2022-11-23T01:36:38.7519050Z   test_default_names (__main__.TestTestParametrization) ... ok (0.002s)
2022-11-23T01:36:38.7519363Z   test_modules_decorator_misuse_error (__main__.TestTestParametrization) ... ok (0.001s)
2022-11-23T01:36:38.7519749Z   test_multiple_handling_of_same_param_error (__main__.TestTestParametrization) ... ok (0.001s)
2022-11-23T01:36:38.7520066Z   test_name_fn (__main__.TestTestParametrization) ... ok (0.002s)
2022-11-23T01:36:38.7520376Z   test_ops_decorator_misuse_error (__main__.TestTestParametrization) ... ok (0.002s)
2022-11-23T01:36:38.7520695Z   test_subtest_expected_failure_x_1 (__main__.TestTestParametrization) ... ok (0.001s)
2022-11-23T01:36:38.7521048Z   test_subtest_expected_failure_x_2 (__main__.TestTestParametrization) ... expected failure (0.001s)
2022-11-23T01:36:38.7521395Z   test_subtest_expected_failure_x_3 (__main__.TestTestParametrization) ... ok (0.001s)
2022-11-23T01:36:38.7521707Z   test_subtest_names (__main__.TestTestParametrization) ... ok (0.002s)
2022-11-23T01:36:38.7522044Z   test_two_things_subtest_expected_failure_x_1_y_4 (__main__.TestTestParametrization) ... expected failure (0.001s)
2022-11-23T01:36:38.7522436Z   test_two_things_subtest_expected_failure_x_1_y_5 (__main__.TestTestParametrization) ... expected failure (0.001s)
2022-11-23T01:36:38.7522822Z   test_two_things_subtest_expected_failure_x_1_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s)
2022-11-23T01:36:38.7523177Z   test_two_things_subtest_expected_failure_x_2_y_4 (__main__.TestTestParametrization) ... ok (0.001s)
2022-11-23T01:36:38.7523532Z   test_two_things_subtest_expected_failure_x_2_y_5 (__main__.TestTestParametrization) ... ok (0.001s)
2022-11-23T01:36:38.7523903Z   test_two_things_subtest_expected_failure_x_2_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s)
2022-11-23T01:36:38.7524272Z   test_two_things_subtest_expected_failure_x_3_y_4 (__main__.TestTestParametrization) ... ok (0.001s)
2022-11-23T01:36:38.7524611Z   test_two_things_subtest_expected_failure_x_3_y_5 (__main__.TestTestParametrization) ... ok (0.001s)
2022-11-23T01:36:38.7524977Z   test_two_things_subtest_expected_failure_x_3_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s)
2022-11-23T01:36:38.7525188Z 
2022-11-23T01:36:38.7525397Z ----------------------------------------------------------------------
2022-11-23T01:36:38.7525640Z Ran 103 tests in 24.286s
2022-11-23T01:36:38.7525743Z 
2022-11-23T01:36:38.7525825Z OK (expected failures=7)
2022-11-23T01:36:38.7525943Z 
2022-11-23T01:36:38.7526030Z Generating XML reports...
2022-11-23T01:36:38.7526433Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertClose-20221123013613.xml
2022-11-23T01:36:38.7526955Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseContainer-20221123013613.xml
2022-11-23T01:36:38.7527514Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseErrorMessage-20221123013613.xml
2022-11-23T01:36:38.7528067Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseQuantized-20221123013613.xml
2022-11-23T01:36:38.7528605Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseBSC-20221123013613.xml
2022-11-23T01:36:38.7529136Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseBSR-20221123013613.xml
2022-11-23T01:36:38.7529668Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCOO-20221123013613.xml
2022-11-23T01:36:38.7530238Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCSC-20221123013613.xml
2022-11-23T01:36:38.7530774Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCSR-20221123013613.xml
2022-11-23T01:36:38.7531282Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestFrameworkUtils-20221123013613.xml
2022-11-23T01:36:38.7531766Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestImports-20221123013613.xml
2022-11-23T01:36:38.7532230Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestOpInfos-20221123013613.xml
2022-11-23T01:36:38.7532768Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestTestParametrization-20221123013613.xml
2022-11-23T01:36:38.7532995Z 
2022-11-23T01:36:38.7533336Z ##[endgroup]
2022-11-23T01:36:38.7533710Z FINISHED PRINTING LOG FILE of test_testing (/var/lib/jenkins/workspace/test/test-reports/test_testing_ekmcuqfj)
2022-11-23T01:36:38.7533921Z 
2022-11-23T01:36:40.7095987Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:36:40.7874186Z Ignoring disabled issues:  []
2022-11-23T01:36:40.8053756Z Running test_transformers ... [2022-11-23 01:36:40.805043]
2022-11-23T01:36:40.8055180Z Executing ['/opt/conda/bin/python', '-bb', 'test_transformers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:40.805317]
2022-11-23T01:36:49.8839377Z 
2022-11-23T01:36:49.8839847Z Expand the folded group to see the log file of test_transformers
2022-11-23T01:36:49.8840874Z ##[group]PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_ohhm1l1k)
2022-11-23T01:36:49.8841294Z 
2022-11-23T01:36:49.8841368Z Running tests...
2022-11-23T01:36:49.8841878Z ----------------------------------------------------------------------
2022-11-23T01:36:49.8842476Z Test results will be stored in test-reports/python-unittest/test_transformers
2022-11-23T01:36:49.8844669Z   test_bias_is_none (__main__.TestTransformers) ... ok (0.003s)
2022-11-23T01:36:49.8845435Z   test_decoder_only_layer (__main__.TestTransformers) ... skip: Fairseq not found (0.006s)
2022-11-23T01:36:49.8846198Z   test_fused_sdp_choice_type_dense (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8846940Z   test_fused_sdp_choice_type_nested (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8847615Z   test_mask_check_fastpath (__main__.TestTransformers)
2022-11-23T01:36:49.8849038Z Test that fastpath is executed independently of the masks that are passed. ... /var/lib/jenkins/workspace/test/test_transformers.py:916: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:36:49.8852086Z   nested_tensor_return_value = torch.nested.nested_tensor([torch.ones((2, 2), dtype=torch.float)])
2022-11-23T01:36:49.8852687Z ok (0.011s)
2022-11-23T01:36:49.8853405Z   test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.009s)
2022-11-23T01:36:49.8854415Z   test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s)
2022-11-23T01:36:49.8855368Z   test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s)
2022-11-23T01:36:49.8856353Z   test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.011s)
2022-11-23T01:36:49.8857632Z   test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.011s)
2022-11-23T01:36:49.8858675Z   test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.011s)
2022-11-23T01:36:49.8859908Z   test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8860851Z   test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s)
2022-11-23T01:36:49.8861808Z   test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8862774Z   test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.011s)
2022-11-23T01:36:49.8863774Z   test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.011s)
2022-11-23T01:36:49.8864901Z   test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.011s)
2022-11-23T01:36:49.8865893Z   test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.027s)
2022-11-23T01:36:49.8866880Z   test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.021s)
2022-11-23T01:36:49.8867784Z   test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.021s)
2022-11-23T01:36:49.8868773Z   test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8869746Z   test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8870742Z   test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8871747Z   test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2022-11-23T01:36:49.8872754Z   test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2022-11-23T01:36:49.8873871Z   test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2022-11-23T01:36:49.8897895Z   test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8898429Z   test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8898979Z   test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.002s)
2022-11-23T01:36:49.8899507Z   test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2022-11-23T01:36:49.8900041Z   test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2022-11-23T01:36:49.8900561Z   test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s)
2022-11-23T01:36:49.8901078Z   test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.017s)
2022-11-23T01:36:49.8901589Z   test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.019s)
2022-11-23T01:36:49.8902098Z   test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.019s)
2022-11-23T01:36:49.8902681Z   test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_dense_fused_kernel_flash (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s)
2022-11-23T01:36:49.8903492Z   test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_dense_fused_kernel_mem_efficient (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s)
2022-11-23T01:36:49.8904183Z   test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_nested_fused_kernel_flash (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s)
2022-11-23T01:36:49.8904876Z   test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_nested_fused_kernel_mem_efficient (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s)
2022-11-23T01:36:49.8905597Z   test_scaled_dot_product_attention_fused_kernels_packed_type_dense_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8906240Z   test_scaled_dot_product_attention_fused_kernels_packed_type_dense_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8906888Z   test_scaled_dot_product_attention_fused_kernels_packed_type_nested_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8907538Z   test_scaled_dot_product_attention_fused_kernels_packed_type_nested_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8908171Z   test_scaled_dot_product_attention_fused_kernels_type_dense_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8908798Z   test_scaled_dot_product_attention_fused_kernels_type_dense_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8909410Z   test_scaled_dot_product_attention_fused_kernels_type_nested_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8910041Z   test_scaled_dot_product_attention_fused_kernels_type_nested_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8910635Z   test_sdp_fused_grad_against_math_contiguous_inputs_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8911207Z   test_sdp_fused_grad_against_math_contiguous_inputs_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8911760Z   test_sdp_math_gradcheck_contiguous_inputs_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8912319Z   test_sdp_math_gradcheck_contiguous_inputs_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s)
2022-11-23T01:36:49.8912802Z   test_sdp_runtime_dispatch (__main__.TestTransformers) ... skip: CUDA unavailable (0.002s)
2022-11-23T01:36:49.8913515Z   test_self_attn_TxT_attn_mask (__main__.TestTransformers) ... skip: 4D mask not supported yet - activate when 4D mask supported (0.001s)
2022-11-23T01:36:49.8914134Z   test_train_with_pad_and_catch_error_device_cpu (__main__.TestTransformers) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:36:49.8914715Z   test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.030s)
2022-11-23T01:36:49.8915279Z   test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.029s)
2022-11-23T01:36:49.8915835Z   test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.032s)
2022-11-23T01:36:49.8916418Z   test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.031s)
2022-11-23T01:36:49.8916975Z   test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.027s)
2022-11-23T01:36:49.8917559Z   test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.026s)
2022-11-23T01:36:49.8918116Z   test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.033s)
2022-11-23T01:36:49.8918661Z   test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.032s)
2022-11-23T01:36:49.8919268Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_12 (__main__.TestTransformers)
2022-11-23T01:36:49.8920103Z Test TransformerEncoder fastpath output matches slowpath output ... /var/lib/jenkins/workspace/test/test_transformers.py:215: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:36:49.8920874Z   torch.tensor(pair[0], device=device, dtype=torch.get_default_dtype()),  # float input
2022-11-23T01:36:49.8921190Z ok (0.601s)
2022-11-23T01:36:49.8921616Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_256 (__main__.TestTransformers)
2022-11-23T01:36:49.8922116Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.853s)
2022-11-23T01:36:49.8922644Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_12 (__main__.TestTransformers)
2022-11-23T01:36:49.8923586Z Test TransformerEncoder fastpath output matches slowpath output ... /opt/conda/lib/python3.10/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
2022-11-23T01:36:49.8924308Z   warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')
2022-11-23T01:36:49.8924622Z ok (0.588s)
2022-11-23T01:36:49.8925045Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_256 (__main__.TestTransformers)
2022-11-23T01:36:49.8925553Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.856s)
2022-11-23T01:36:49.8926070Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_12 (__main__.TestTransformers)
2022-11-23T01:36:49.8926558Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.499s)
2022-11-23T01:36:49.8927076Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_256 (__main__.TestTransformers)
2022-11-23T01:36:49.8927584Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.821s)
2022-11-23T01:36:49.8928095Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_12 (__main__.TestTransformers)
2022-11-23T01:36:49.8928582Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.508s)
2022-11-23T01:36:49.8929095Z   test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_256 (__main__.TestTransformers)
2022-11-23T01:36:49.8929598Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.892s)
2022-11-23T01:36:49.8930103Z   test_transformerencoder_square_input_with_no_grad_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers)
2022-11-23T01:36:49.8930616Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.008s)
2022-11-23T01:36:49.8931180Z   test_transformerencoder_square_input_with_no_grad_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers)
2022-11-23T01:36:49.8931697Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.007s)
2022-11-23T01:36:49.8932207Z   test_transformerencoder_square_input_with_no_grad_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers)
2022-11-23T01:36:49.8932726Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.006s)
2022-11-23T01:36:49.8933253Z   test_transformerencoder_square_input_with_no_grad_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers)
2022-11-23T01:36:49.8933802Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.007s)
2022-11-23T01:36:49.8934264Z   test_transformerencoderlayer_src_mask_device_cpu_nhead_1 (__main__.TestTransformers) ... ok (0.003s)
2022-11-23T01:36:49.8934740Z   test_transformerencoderlayer_src_mask_device_cpu_nhead_4 (__main__.TestTransformers) ... ok (0.003s)
2022-11-23T01:36:49.8935212Z   test_transformerencoderlayer_src_mask_device_cpu_nhead_8 (__main__.TestTransformers) ... ok (0.003s)
2022-11-23T01:36:49.8935469Z 
2022-11-23T01:36:49.8935739Z ----------------------------------------------------------------------
2022-11-23T01:36:49.8936042Z Ran 77 tests in 6.232s
2022-11-23T01:36:49.8936186Z 
2022-11-23T01:36:49.8936283Z OK (skipped=20)
2022-11-23T01:36:49.8936579Z 
2022-11-23T01:36:49.8936690Z Generating XML reports...
2022-11-23T01:36:49.8937242Z Generated XML report: test-reports/python-unittest/test_transformers/TEST-TestTransformers-20221123013643.xml
2022-11-23T01:36:49.8937531Z 
2022-11-23T01:36:49.8937923Z ##[endgroup]
2022-11-23T01:36:49.8938447Z FINISHED PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_ohhm1l1k)
2022-11-23T01:36:49.8938737Z 
2022-11-23T01:36:51.8710842Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:36:51.9476192Z Ignoring disabled issues:  []
2022-11-23T01:36:51.9657668Z Running test_type_hints ... [2022-11-23 01:36:51.965386]
2022-11-23T01:36:51.9658592Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_hints.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:51.965660]
2022-11-23T01:36:53.8440886Z 
2022-11-23T01:36:53.8441350Z Expand the folded group to see the log file of test_type_hints
2022-11-23T01:36:53.8442433Z ##[group]PRINTING LOG FILE of test_type_hints (/var/lib/jenkins/workspace/test/test-reports/test_type_hints_anb7x7xn)
2022-11-23T01:36:53.8442883Z 
2022-11-23T01:36:53.8443016Z Running tests...
2022-11-23T01:36:53.8443679Z ----------------------------------------------------------------------
2022-11-23T01:36:53.8444366Z Test results will be stored in test-reports/python-unittest/test_type_hints
2022-11-23T01:36:53.8444879Z   test_doc_examples (__main__.TestTypeHints)
2022-11-23T01:36:53.8445481Z Run documentation examples through mypy. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:36:53.8445878Z 
2022-11-23T01:36:53.8446247Z ----------------------------------------------------------------------
2022-11-23T01:36:53.8446664Z Ran 1 test in 0.001s
2022-11-23T01:36:53.8446865Z 
2022-11-23T01:36:53.8446990Z OK (skipped=1)
2022-11-23T01:36:53.8447177Z 
2022-11-23T01:36:53.8447328Z Generating XML reports...
2022-11-23T01:36:53.8448061Z Generated XML report: test-reports/python-unittest/test_type_hints/TEST-TestTypeHints-20221123013653.xml
2022-11-23T01:36:53.8448474Z 
2022-11-23T01:36:53.8448868Z ##[endgroup]
2022-11-23T01:36:53.8449570Z FINISHED PRINTING LOG FILE of test_type_hints (/var/lib/jenkins/workspace/test/test-reports/test_type_hints_anb7x7xn)
2022-11-23T01:36:53.8449959Z 
2022-11-23T01:36:56.0489527Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:36:56.1354283Z Ignoring disabled issues:  []
2022-11-23T01:36:56.1579018Z Running test_type_info ... [2022-11-23 01:36:56.157523]
2022-11-23T01:36:56.1586489Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_info.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:56.158380]
2022-11-23T01:36:58.2265917Z 
2022-11-23T01:36:58.2266448Z Expand the folded group to see the log file of test_type_info
2022-11-23T01:36:58.2267595Z ##[group]PRINTING LOG FILE of test_type_info (/var/lib/jenkins/workspace/test/test-reports/test_type_info_n1dkl_gk)
2022-11-23T01:36:58.2267885Z 
2022-11-23T01:36:58.2267984Z Running tests...
2022-11-23T01:36:58.2268460Z ----------------------------------------------------------------------
2022-11-23T01:36:58.2269333Z Test results will be stored in test-reports/python-unittest/test_type_info
2022-11-23T01:36:58.2269854Z   test_finfo (__main__.TestDTypeInfo) ... ok (0.254s)
2022-11-23T01:36:58.2270222Z   test_iinfo (__main__.TestDTypeInfo) ... ok (0.002s)
2022-11-23T01:36:58.2270489Z   test_invalid_input (__main__.TestDTypeInfo) ... ok (0.001s)
2022-11-23T01:36:58.2270640Z 
2022-11-23T01:36:58.2270827Z ----------------------------------------------------------------------
2022-11-23T01:36:58.2271068Z Ran 3 tests in 0.257s
2022-11-23T01:36:58.2271180Z 
2022-11-23T01:36:58.2271241Z OK
2022-11-23T01:36:58.2271331Z 
2022-11-23T01:36:58.2271403Z Generating XML reports...
2022-11-23T01:36:58.2271820Z Generated XML report: test-reports/python-unittest/test_type_info/TEST-TestDTypeInfo-20221123013657.xml
2022-11-23T01:36:58.2272052Z 
2022-11-23T01:36:58.2272308Z ##[endgroup]
2022-11-23T01:36:58.2272673Z FINISHED PRINTING LOG FILE of test_type_info (/var/lib/jenkins/workspace/test/test-reports/test_type_info_n1dkl_gk)
2022-11-23T01:36:58.2272887Z 
2022-11-23T01:37:00.2310861Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:00.3069197Z Ignoring disabled issues:  []
2022-11-23T01:37:00.3260904Z Running test_type_promotion ... [2022-11-23 01:37:00.325760]
2022-11-23T01:37:00.3263238Z Executing ['/opt/conda/bin/python', '-bb', 'test_type_promotion.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:00.326042]
2022-11-23T01:37:02.3953080Z 
2022-11-23T01:37:02.3953567Z Expand the folded group to see the log file of test_type_promotion
2022-11-23T01:37:02.3954799Z ##[group]PRINTING LOG FILE of test_type_promotion (/var/lib/jenkins/workspace/test/test-reports/test_type_promotion_je40hl1i)
2022-11-23T01:37:02.3955240Z 
2022-11-23T01:37:02.3955374Z Running tests...
2022-11-23T01:37:02.3956037Z ----------------------------------------------------------------------
2022-11-23T01:37:02.3956347Z 
2022-11-23T01:37:02.3956692Z ----------------------------------------------------------------------
2022-11-23T01:37:02.3957150Z Ran 0 tests in 0.000s
2022-11-23T01:37:02.3957356Z 
2022-11-23T01:37:02.3957467Z OK
2022-11-23T01:37:02.3957632Z 
2022-11-23T01:37:02.3957769Z Generating XML reports...
2022-11-23T01:37:02.3958392Z Test results will be stored in test-reports/python-unittest/test_type_promotion
2022-11-23T01:37:02.3958742Z 
2022-11-23T01:37:02.3959133Z ##[endgroup]
2022-11-23T01:37:02.3959872Z FINISHED PRINTING LOG FILE of test_type_promotion (/var/lib/jenkins/workspace/test/test-reports/test_type_promotion_je40hl1i)
2022-11-23T01:37:02.3960285Z 
2022-11-23T01:37:04.4472898Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:04.5318267Z Ignoring disabled issues:  []
2022-11-23T01:37:04.5498788Z Running test_unary_ufuncs ... [2022-11-23 01:37:04.549544]
2022-11-23T01:37:04.5500307Z Executing ['/opt/conda/bin/python', '-bb', 'test_unary_ufuncs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:04.549813]
2022-11-23T01:37:07.2836287Z 
2022-11-23T01:37:07.2836999Z Expand the folded group to see the log file of test_unary_ufuncs
2022-11-23T01:37:07.2838009Z ##[group]PRINTING LOG FILE of test_unary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_unary_ufuncs_f6xw5oep)
2022-11-23T01:37:07.2838416Z 
2022-11-23T01:37:07.2838568Z Running tests...
2022-11-23T01:37:07.2839443Z ----------------------------------------------------------------------
2022-11-23T01:37:07.2839757Z 
2022-11-23T01:37:07.2840121Z ----------------------------------------------------------------------
2022-11-23T01:37:07.2840530Z Ran 0 tests in 0.000s
2022-11-23T01:37:07.2840736Z 
2022-11-23T01:37:07.2840846Z OK
2022-11-23T01:37:07.2841015Z 
2022-11-23T01:37:07.2841170Z Generating XML reports...
2022-11-23T01:37:07.2841773Z Test results will be stored in test-reports/python-unittest/test_unary_ufuncs
2022-11-23T01:37:07.2842098Z 
2022-11-23T01:37:07.2842494Z ##[endgroup]
2022-11-23T01:37:07.2843151Z FINISHED PRINTING LOG FILE of test_unary_ufuncs (/var/lib/jenkins/workspace/test/test-reports/test_unary_ufuncs_f6xw5oep)
2022-11-23T01:37:07.2843660Z 
2022-11-23T01:37:09.4325605Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:09.5185422Z Ignoring disabled issues:  []
2022-11-23T01:37:09.5382236Z Running test_utils ... [2022-11-23 01:37:09.537917]
2022-11-23T01:37:09.5384152Z Executing ['/opt/conda/bin/python', '-bb', 'test_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:09.538194]
2022-11-23T01:37:14.8023345Z 
2022-11-23T01:37:14.8023795Z Expand the folded group to see the log file of test_utils
2022-11-23T01:37:14.8024738Z ##[group]PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_ftj8izuj)
2022-11-23T01:37:14.8025485Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:14.8025737Z 
2022-11-23T01:37:14.8025850Z Running tests...
2022-11-23T01:37:14.8026324Z ----------------------------------------------------------------------
2022-11-23T01:37:14.8026947Z Test results will be stored in test-reports/python-unittest/test_utils
2022-11-23T01:37:14.8027386Z   test_assert_scriptable (__main__.TestAssert) ... ok (0.290s)
2022-11-23T01:37:14.8027791Z   test_assert_true (__main__.TestAssert) ... ok (0.001s)
2022-11-23T01:37:14.8029201Z   test_bottleneck_cpu_only (__main__.TestBottleneck) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68433 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:37:14.8030245Z   test_bottleneck_cuda (__main__.TestBottleneck) ... skip: No CUDA (0.000s)
2022-11-23T01:37:14.8030715Z   test_checkpoint (__main__.TestCheckpoint) ... ok (0.013s)
2022-11-23T01:37:14.8031197Z   test_checkpoint_module_list (__main__.TestCheckpoint) ... ok (0.010s)
2022-11-23T01:37:14.8032225Z   test_checkpoint_no_tensors (__main__.TestCheckpoint) ... /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
2022-11-23T01:37:14.8033011Z   warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
2022-11-23T01:37:14.8033411Z ok (0.003s)
2022-11-23T01:37:14.8033912Z   test_checkpoint_non_tensor (__main__.TestCheckpoint) ... ok (0.001s)
2022-11-23T01:37:14.8034421Z   test_checkpoint_non_tensor_inputs_outputs (__main__.TestCheckpoint) ... ok (0.004s)
2022-11-23T01:37:14.8035035Z   test_checkpoint_not_preserve_rng_state_and_without_reentrant (__main__.TestCheckpoint) ... skip: No CUDA (0.000s)
2022-11-23T01:37:14.8035596Z   test_checkpoint_partial_grad (__main__.TestCheckpoint) ... ok (0.002s)
2022-11-23T01:37:14.8036071Z   test_checkpoint_rng_cpu (__main__.TestCheckpoint) ... ok (0.012s)
2022-11-23T01:37:14.8036557Z   test_checkpoint_rng_cuda (__main__.TestCheckpoint) ... skip: No CUDA (0.001s)
2022-11-23T01:37:14.8037142Z   test_checkpoint_sequential_deprecated_multiple_args (__main__.TestCheckpoint) ... ok (0.001s)
2022-11-23T01:37:14.8037734Z   test_checkpoint_sequential_deprecated_no_args (__main__.TestCheckpoint) ... ok (0.001s)
2022-11-23T01:37:14.8038260Z   test_checkpoint_trigger (__main__.TestCheckpoint) ... ok (0.004s)
2022-11-23T01:37:14.8038965Z   test_checkpoint_valid (__main__.TestCheckpoint) ... ok (0.003s)
2022-11-23T01:37:14.8039552Z   test_checkpointing_without_reentrant_early_free (__main__.TestCheckpoint) ... skip: Test requires CUDA (0.001s)
2022-11-23T01:37:14.8040994Z   test_smoke (__main__.TestCollectEnv) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77345 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:37:14.8042040Z   test_cc_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.028s)
2022-11-23T01:37:14.8042744Z   test_cpp_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.010s)
2022-11-23T01:37:14.8044275Z   test_multi_drop (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82865 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:37:14.8045699Z   test_multi_keep (__main__.TestDataLoaderUtils) ... skip: FIXME: Intermittent CUDA out-of-memory error on Windows and time-out under ASAN (0.000s)
2022-11-23T01:37:14.8047374Z   test_random_seed (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70516 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:37:14.8048407Z   test_single_drop (__main__.TestDataLoaderUtils) ... ok (0.001s)
2022-11-23T01:37:14.8048922Z   test_single_keep (__main__.TestDataLoaderUtils) ... ok (0.001s)
2022-11-23T01:37:14.8049465Z   test_external_module_register (__main__.TestExtensionUtils) ... ok (0.003s)
2022-11-23T01:37:14.8049967Z   test_import_hipify (__main__.TestHipify) ... ok (0.001s)
2022-11-23T01:37:14.8050457Z   test_check_onnx_broadcast (__main__.TestONNXUtils) ... ok (0.002s)
2022-11-23T01:37:14.8050973Z   test_prepare_onnx_paddings (__main__.TestONNXUtils) ... ok (0.001s)
2022-11-23T01:37:14.8051505Z   test_load_standalone (__main__.TestStandaloneCPPJIT) ... ok (2.514s)
2022-11-23T01:37:14.8051795Z 
2022-11-23T01:37:14.8052160Z ----------------------------------------------------------------------
2022-11-23T01:37:14.8052584Z Ran 31 tests in 2.913s
2022-11-23T01:37:14.8052783Z 
2022-11-23T01:37:14.8052913Z OK (skipped=9)
2022-11-23T01:37:14.8053106Z 
2022-11-23T01:37:14.8053243Z Generating XML reports...
2022-11-23T01:37:14.8053924Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestAssert-20221123013711.xml
2022-11-23T01:37:14.8054810Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCheckpoint-20221123013711.xml
2022-11-23T01:37:14.8055714Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCppExtensionUtils-20221123013711.xml
2022-11-23T01:37:14.8056866Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestDataLoaderUtils-20221123013711.xml
2022-11-23T01:37:14.8057617Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestExtensionUtils-20221123013711.xml
2022-11-23T01:37:14.8058333Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestHipify-20221123013711.xml
2022-11-23T01:37:14.8059080Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestONNXUtils-20221123013711.xml
2022-11-23T01:37:14.8059984Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestStandaloneCPPJIT-20221123013711.xml
2022-11-23T01:37:14.8060841Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestBottleneck-20221123013711.xml
2022-11-23T01:37:14.8061696Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCollectEnv-20221123013711.xml
2022-11-23T01:37:14.8062231Z 
2022-11-23T01:37:14.8062664Z ##[endgroup]
2022-11-23T01:37:14.8063296Z FINISHED PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_ftj8izuj)
2022-11-23T01:37:14.8063639Z 
2022-11-23T01:37:16.7845112Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:16.8686165Z Ignoring disabled issues:  []
2022-11-23T01:37:16.9059801Z Running test_view_ops ... [2022-11-23 01:37:16.905442]
2022-11-23T01:37:16.9061343Z Executing ['/opt/conda/bin/python', '-bb', 'test_view_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:16.905829]
2022-11-23T01:37:19.0887614Z 
2022-11-23T01:37:19.0888300Z Expand the folded group to see the log file of test_view_ops
2022-11-23T01:37:19.0889555Z ##[group]PRINTING LOG FILE of test_view_ops (/var/lib/jenkins/workspace/test/test-reports/test_view_ops__o7le1xm)
2022-11-23T01:37:19.0890094Z 
2022-11-23T01:37:19.0890234Z Running tests...
2022-11-23T01:37:19.0891032Z ----------------------------------------------------------------------
2022-11-23T01:37:19.0891334Z 
2022-11-23T01:37:19.0891654Z ----------------------------------------------------------------------
2022-11-23T01:37:19.0891980Z Ran 0 tests in 0.000s
2022-11-23T01:37:19.0892154Z 
2022-11-23T01:37:19.0892243Z OK
2022-11-23T01:37:19.0897568Z 
2022-11-23T01:37:19.0899016Z Generating XML reports...
2022-11-23T01:37:19.0899698Z Test results will be stored in test-reports/python-unittest/test_view_ops
2022-11-23T01:37:19.0900026Z 
2022-11-23T01:37:19.0900565Z ##[endgroup]
2022-11-23T01:37:19.0903800Z FINISHED PRINTING LOG FILE of test_view_ops (/var/lib/jenkins/workspace/test/test-reports/test_view_ops__o7le1xm)
2022-11-23T01:37:19.0904557Z 
2022-11-23T01:37:21.3386643Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:21.4159183Z Ignoring disabled issues:  []
2022-11-23T01:37:21.4343490Z Running test_vmap ... [2022-11-23 01:37:21.434104]
2022-11-23T01:37:21.4345548Z Executing ['/opt/conda/bin/python', '-bb', 'test_vmap.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:21.434352]
2022-11-23T01:37:25.1599060Z 
2022-11-23T01:37:25.1599917Z Expand the folded group to see the log file of test_vmap
2022-11-23T01:37:25.1600875Z ##[group]PRINTING LOG FILE of test_vmap (/var/lib/jenkins/workspace/test/test-reports/test_vmap_ugmbk_9y)
2022-11-23T01:37:25.1601213Z 
2022-11-23T01:37:25.1601366Z Running tests...
2022-11-23T01:37:25.1601919Z ----------------------------------------------------------------------
2022-11-23T01:37:25.1602481Z Test results will be stored in test-reports/python-unittest/test_vmap
2022-11-23T01:37:25.1603836Z   test_accepts_nested_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:376: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1604652Z   out = vmap(lambda z: z[0] + z[1])((x, y))
2022-11-23T01:37:25.1605736Z /var/lib/jenkins/workspace/test/test_vmap.py:378: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1606483Z   out = vmap(lambda z: z[0] + z[1], in_dims=(0,))((x, y))
2022-11-23T01:37:25.1607619Z /var/lib/jenkins/workspace/test/test_vmap.py:380: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1608378Z   out = vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))((x, y))
2022-11-23T01:37:25.1609752Z /var/lib/jenkins/workspace/test/test_vmap.py:383: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1610498Z   out = vmap(lambda z: z[0] + z[1])([x, y])
2022-11-23T01:37:25.1611670Z /var/lib/jenkins/workspace/test/test_vmap.py:385: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1612564Z   out = vmap(lambda z: z[0] + z[1], in_dims=(0,))([x, y])
2022-11-23T01:37:25.1613772Z /var/lib/jenkins/workspace/test/test_vmap.py:387: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1614599Z   out = vmap(lambda z: z[0] + z[1], in_dims=([0, 0],))([x, y])
2022-11-23T01:37:25.1615733Z /var/lib/jenkins/workspace/test/test_vmap.py:390: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1616819Z   out = vmap(lambda z: z['x'] + z['y'])({'x': x, 'y': y})
2022-11-23T01:37:25.1617939Z /var/lib/jenkins/workspace/test/test_vmap.py:392: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1618810Z   out = vmap(lambda z: z['x'] + z['y'], in_dims=(0,))({'x': x, 'y': y})
2022-11-23T01:37:25.1619984Z /var/lib/jenkins/workspace/test/test_vmap.py:394: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1620871Z   out = vmap(lambda z: z['x'] + z['y'], in_dims=({'x': 0, 'y': 0},))({'x': x, 'y': y})
2022-11-23T01:37:25.1622045Z /var/lib/jenkins/workspace/test/test_vmap.py:398: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1622923Z   out_fn = vmap(lambda z: z['x'][0] + z['x'][1][0] + z['y'][0] + z['y'][1])
2022-11-23T01:37:25.1623241Z ok (0.005s)
2022-11-23T01:37:25.1624501Z   test_backward_unsupported_interaction (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:748: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1625347Z   vmap(backward_on_vmapped_tensor)(x)
2022-11-23T01:37:25.1626484Z /var/lib/jenkins/workspace/test/test_vmap.py:754: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1627246Z   vmap(backward_with_vmapped_grad)(x, grad)
2022-11-23T01:37:25.1642173Z /var/lib/jenkins/workspace/test/test_vmap.py:760: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1643255Z   vmap(completely_unrelated_backward)(y)
2022-11-23T01:37:25.1643582Z ok (0.005s)
2022-11-23T01:37:25.1644946Z   test_batched_gradient_basic (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:792: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1645858Z   jacobian = vmap(vjp_mul)(batched_v)
2022-11-23T01:37:25.1646184Z ok (0.001s)
2022-11-23T01:37:25.1647493Z   test_constant_function (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:63: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1648540Z   output = vmap(lambda x: torch.tensor(3.14))(torch.ones(3))
2022-11-23T01:37:25.1648895Z ok (0.001s)
2022-11-23T01:37:25.1650253Z   test_different_map_dim_size_raises (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:41: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1651126Z   vmap(torch.mul)(x, y)
2022-11-23T01:37:25.1652326Z /var/lib/jenkins/workspace/test/test_vmap.py:43: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1653165Z   vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))((x, y))
2022-11-23T01:37:25.1654392Z /var/lib/jenkins/workspace/test/test_vmap.py:45: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1655378Z   vmap(lambda z: z['x'] + z['y'], in_dims=({'x': 0, 'y': 0},))({'x': x, 'y': y})
2022-11-23T01:37:25.1655712Z ok (0.001s)
2022-11-23T01:37:25.1657244Z   test_fallback_atan2 (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:554: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1658149Z   result = vmap(op, (2, 0))(x, y)
2022-11-23T01:37:25.1659367Z /var/lib/jenkins/workspace/test/test_vmap.py:560: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1660172Z   result = vmap(vmap(op), (2, 0))(x, y)
2022-11-23T01:37:25.1661372Z /var/lib/jenkins/workspace/test/test_vmap.py:566: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1662191Z   result = vmap(vmap(vmap(op)))(x, y)
2022-11-23T01:37:25.1662513Z ok (0.088s)
2022-11-23T01:37:25.1662896Z   test_fallback_does_not_warn_by_default (__main__.TestVmapAPI) ... ok (0.001s)
2022-11-23T01:37:25.1664436Z   test_fallback_masked_fill (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:582: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1665444Z   result = vmap(torch.index_add, (0, None, None, 0))(x, dim, index, values)
2022-11-23T01:37:25.1666721Z /var/lib/jenkins/workspace/test/test_vmap.py:582: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1667604Z   result = vmap(torch.index_add, (0, None, None, 0))(x, dim, index, values)
2022-11-23T01:37:25.1668021Z ok (0.076s)
2022-11-23T01:37:25.1669351Z   test_fallback_multiple_returns (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:600: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1670255Z   result = vmap(torch.var_mean)(tensor)
2022-11-23T01:37:25.1671475Z /var/lib/jenkins/workspace/test/test_vmap.py:606: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1672298Z   result = vmap(vmap(torch.var_mean))(tensor)
2022-11-23T01:37:25.1673532Z /var/lib/jenkins/workspace/test/test_vmap.py:612: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1674454Z   result = vmap(vmap(vmap(torch.var_mean)))(tensor)
2022-11-23T01:37:25.1674794Z ok (0.072s)
2022-11-23T01:37:25.1675191Z   test_fallback_warns_when_warnings_are_enabled (__main__.TestVmapAPI) ... ok (0.001s)
2022-11-23T01:37:25.1675711Z   test_fallback_with_undefined_grad (__main__.TestVmapAPI) ... ok (0.003s)
2022-11-23T01:37:25.1677126Z   test_fallback_zero_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:525: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1677993Z   vmap(op, (0, None))(x, y)
2022-11-23T01:37:25.1679169Z /var/lib/jenkins/workspace/test/test_vmap.py:527: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1679960Z   vmap(op, (None, 0))(y, x)
2022-11-23T01:37:25.1681159Z /var/lib/jenkins/workspace/test/test_vmap.py:529: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1681942Z   vmap(op)(x, x)
2022-11-23T01:37:25.1683121Z /var/lib/jenkins/workspace/test/test_vmap.py:534: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1683901Z   vmap(op, (0, None))(x, y)
2022-11-23T01:37:25.1685160Z /var/lib/jenkins/workspace/test/test_vmap.py:536: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1685952Z   vmap(op, (None, 0))(y, x)
2022-11-23T01:37:25.1687147Z /var/lib/jenkins/workspace/test/test_vmap.py:538: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1687905Z   vmap(op)(x, x)
2022-11-23T01:37:25.1688186Z ok (0.016s)
2022-11-23T01:37:25.1689497Z   test_func_with_no_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:57: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1690432Z   vmap(foo)()
2022-11-23T01:37:25.1691602Z /var/lib/jenkins/workspace/test/test_vmap.py:60: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1692389Z   vmap(bar)()
2022-11-23T01:37:25.1692663Z ok (0.001s)
2022-11-23T01:37:25.1693968Z   test_functools_partial (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:798: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1694903Z   result = vmap(functools.partial(torch.mul, x))(y)
2022-11-23T01:37:25.1695242Z ok (0.001s)
2022-11-23T01:37:25.1696780Z   test_grad_unsupported_interaction (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:773: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1697743Z   vmap(output_to_grad_is_vmapped)(input_tensor)
2022-11-23T01:37:25.1698993Z /var/lib/jenkins/workspace/test/test_vmap.py:781: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1699831Z   vmap(input_to_grad_is_vmapped)(input_tensor)
2022-11-23T01:37:25.1700167Z ok (0.004s)
2022-11-23T01:37:25.1701510Z   test_in_dim_not_in_tensor_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:463: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1702400Z   vmap(foo)(torch.randn([]))
2022-11-23T01:37:25.1703589Z /var/lib/jenkins/workspace/test/test_vmap.py:465: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1704416Z   vmap(foo, in_dims=(0,))(torch.randn([]))
2022-11-23T01:37:25.1705632Z /var/lib/jenkins/workspace/test/test_vmap.py:467: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1706503Z   vmap(foo, in_dims=(-1,))(x)
2022-11-23T01:37:25.1707804Z /var/lib/jenkins/workspace/test/test_vmap.py:469: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1708594Z   vmap(foo, in_dims=(2,))(y)
2022-11-23T01:37:25.1709798Z /var/lib/jenkins/workspace/test/test_vmap.py:471: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1710696Z   vmap(lambda z: z[0] + z[1], in_dims=([3, 0],))([x, y])
2022-11-23T01:37:25.1711944Z /var/lib/jenkins/workspace/test/test_vmap.py:473: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1712777Z   vmap(foo, in_dims=(0,))(torch.randn(2, 3))
2022-11-23T01:37:25.1714044Z /var/lib/jenkins/workspace/test/test_vmap.py:474: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1714877Z   vmap(foo, in_dims=(1,))(torch.randn(2, 3))
2022-11-23T01:37:25.1715206Z ok (0.002s)
2022-11-23T01:37:25.1716546Z   test_in_dims_wrong_type_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:407: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1717416Z   vmap(torch.mul, [0, 0])(x, y)
2022-11-23T01:37:25.1718613Z /var/lib/jenkins/workspace/test/test_vmap.py:409: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1719414Z   vmap(torch.mul, set({0, 0}))(x, y)
2022-11-23T01:37:25.1720615Z /var/lib/jenkins/workspace/test/test_vmap.py:411: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1721467Z   vmap(torch.mul, 'lol')(x, y)
2022-11-23T01:37:25.1722668Z /var/lib/jenkins/workspace/test/test_vmap.py:413: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1723489Z   vmap(lambda z: z[0] + z[1], in_dims=[0, 0])([x, y])
2022-11-23T01:37:25.1724694Z /var/lib/jenkins/workspace/test/test_vmap.py:415: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1725484Z   vmap(torch.mul, (0, 0))(x, y)
2022-11-23T01:37:25.1725765Z ok (0.001s)
2022-11-23T01:37:25.1727137Z   test_inplace_fallback_nary_different_levels (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:707: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1728133Z   vmap(op, in_dims=(0, None))(x, y)
2022-11-23T01:37:25.1729337Z /var/lib/jenkins/workspace/test/test_vmap.py:713: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1737266Z   vmap(vmap(op, in_dims=(0, None)))(x, y)
2022-11-23T01:37:25.1738553Z /var/lib/jenkins/workspace/test/test_vmap.py:721: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1742042Z   vmap(op, in_dims=(None, 0))(x, y)
2022-11-23T01:37:25.1742757Z /var/lib/jenkins/workspace/test/test_vmap.py:726: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1743264Z   vmap(vmap(op, in_dims=(0, None)), in_dims=(None, 0))(x, y)
2022-11-23T01:37:25.1743973Z /var/lib/jenkins/workspace/test/test_vmap.py:731: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1744476Z   vmap(vmap(op, in_dims=(0, None)), in_dims=(None, 1))(x, y)
2022-11-23T01:37:25.1745186Z /var/lib/jenkins/workspace/test/test_vmap.py:736: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1745651Z   vmap(vmap(op, in_dims=(None, 0)))(x, y)
2022-11-23T01:37:25.1745840Z ok (0.013s)
2022-11-23T01:37:25.1746605Z   test_inplace_fallback_nary_same_levels (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:672: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1747124Z   vmap(op, (2, 0))(x, y)
2022-11-23T01:37:25.1747788Z /var/lib/jenkins/workspace/test/test_vmap.py:680: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1748256Z   vmap(vmap(op), (2, 0))(x, y)
2022-11-23T01:37:25.1748933Z /var/lib/jenkins/workspace/test/test_vmap.py:688: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1749400Z   result = vmap(vmap(vmap(op)))(x, y)
2022-11-23T01:37:25.1749577Z ok (0.077s)
2022-11-23T01:37:25.1750331Z   test_inplace_fallback_unary (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:631: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1750846Z   result = vmap(op)(x)
2022-11-23T01:37:25.1751614Z /var/lib/jenkins/workspace/test/test_vmap.py:638: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1752091Z   result = vmap(op, out_dims=(1,))(x)
2022-11-23T01:37:25.1752763Z /var/lib/jenkins/workspace/test/test_vmap.py:645: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1753227Z   result = vmap(vmap(op))(x)
2022-11-23T01:37:25.1753976Z /var/lib/jenkins/workspace/test/test_vmap.py:652: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1754494Z   result = vmap(vmap(vmap(op)))(x)
2022-11-23T01:37:25.1754669Z ok (0.311s)
2022-11-23T01:37:25.1755461Z   test_integer_in_dim_but_not_tensor_input_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:446: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1755988Z   vmap(torch.sum)(x, 0)
2022-11-23T01:37:25.1756664Z /var/lib/jenkins/workspace/test/test_vmap.py:448: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1757129Z   vmap(torch.sum, (0, 0))(x, 0)
2022-11-23T01:37:25.1757793Z /var/lib/jenkins/workspace/test/test_vmap.py:450: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1758277Z   vmap(lambda z: z[0] + z[1], in_dims=([0, 0],))([x, 1])
2022-11-23T01:37:25.1758967Z /var/lib/jenkins/workspace/test/test_vmap.py:452: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1759433Z   vmap(torch.sum, (0, None))(x, 0)
2022-11-23T01:37:25.1759605Z ok (0.002s)
2022-11-23T01:37:25.1760347Z   test_multiple_inputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:78: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1760859Z   output = vmap(torch.mul)(x, y)
2022-11-23T01:37:25.1761045Z ok (0.001s)
2022-11-23T01:37:25.1761765Z   test_multiple_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:220: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1762290Z   result = vmap(foo, out_dims=(0, 1))(x)
2022-11-23T01:37:25.1762978Z /var/lib/jenkins/workspace/test/test_vmap.py:223: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1763510Z   result = vmap(bar, out_dims=(-1, 0, 1, 2))(x, y)
2022-11-23T01:37:25.1763695Z ok (0.002s)
2022-11-23T01:37:25.1764467Z   test_multiple_outputs (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:86: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1764968Z   outputs = vmap(foo)(x)
2022-11-23T01:37:25.1765142Z ok (0.001s)
2022-11-23T01:37:25.1765888Z   test_multiple_outputs_error_cases (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:106: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1766462Z   vmap(returns_tuple_of_tensors)(x)
2022-11-23T01:37:25.1767154Z /var/lib/jenkins/workspace/test/test_vmap.py:111: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1767621Z   vmap(returns_list_of_two_tensors)(x)
2022-11-23T01:37:25.1768308Z /var/lib/jenkins/workspace/test/test_vmap.py:113: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1768779Z   vmap(returns_list_of_one_tensor)(x)
2022-11-23T01:37:25.1768972Z ok (0.001s)
2022-11-23T01:37:25.1769724Z   test_nested_non_default_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:337: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1770274Z   result = vmap(vmap(vmap(torch.mul), (1, 0)), (1, 2))(x, y)
2022-11-23T01:37:25.1770476Z ok (0.001s)
2022-11-23T01:37:25.1771215Z   test_nested_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:236: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1785157Z   result = vmap(lambda y: vmap(lambda x: x, out_dims=1)(y))(y)
2022-11-23T01:37:25.1789485Z /var/lib/jenkins/workspace/test/test_vmap.py:241: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1790040Z   result = vmap(lambda y: vmap(lambda x: x, out_dims=1)(y), out_dims=1)(y)
2022-11-23T01:37:25.1790780Z /var/lib/jenkins/workspace/test/test_vmap.py:246: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1791378Z   result = vmap(lambda y: vmap(lambda x: x, out_dims=-1)(y), out_dims=-1)(y)
2022-11-23T01:37:25.1792112Z /var/lib/jenkins/workspace/test/test_vmap.py:253: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1792686Z   result = vmap(lambda y: vmap(lambda x: x * y, out_dims=1)(x), out_dims=-1)(y)
2022-11-23T01:37:25.1792916Z ok (0.003s)
2022-11-23T01:37:25.1793860Z   test_nested_with_different_map_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:127: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1794415Z   output = vmap(lambda x: vmap(lambda y: x * y)(y))(x)
2022-11-23T01:37:25.1795128Z /var/lib/jenkins/workspace/test/test_vmap.py:132: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1795691Z   output = vmap(lambda x: vmap(lambda y: vmap(lambda z: x * y * z)(z))(y))(x)
2022-11-23T01:37:25.1795918Z ok (0.002s)
2022-11-23T01:37:25.1796684Z   test_nested_with_same_map_dim (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:118: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1797215Z   output = vmap(vmap(torch.mul))(x, y)
2022-11-23T01:37:25.1797900Z /var/lib/jenkins/workspace/test/test_vmap.py:121: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1798393Z   output = vmap(vmap(vmap(torch.mul)))(x, y)
2022-11-23T01:37:25.1798652Z ok (0.001s)
2022-11-23T01:37:25.1799383Z   test_nn_module (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:804: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1799884Z   result = vmap(model)(tensor)
2022-11-23T01:37:25.1800066Z ok (0.001s)
2022-11-23T01:37:25.1800814Z   test_non_default_in_dims_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:344: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1801365Z   result = vmap(lambda x: x, in_dims=1, out_dims=1)(x)
2022-11-23T01:37:25.1802070Z /var/lib/jenkins/workspace/test/test_vmap.py:349: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1802564Z   result = vmap(lambda x: x, in_dims=2, out_dims=1)(x)
2022-11-23T01:37:25.1803266Z /var/lib/jenkins/workspace/test/test_vmap.py:358: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1803738Z   result = vmap(foo, in_dims=1, out_dims=1)(x)
2022-11-23T01:37:25.1804423Z /var/lib/jenkins/workspace/test/test_vmap.py:362: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1804906Z   result = vmap(foo, in_dims=2, out_dims=1)(x)
2022-11-23T01:37:25.1805628Z /var/lib/jenkins/workspace/test/test_vmap.py:367: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1806105Z   result = vmap(vmap(foo, 1, 1), 1, 1)(x)
2022-11-23T01:37:25.1806281Z ok (0.003s)
2022-11-23T01:37:25.1807035Z   test_non_tensor_output_raises (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:28: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1807604Z   output = vmap(lambda x: 3.14)(torch.ones(3))
2022-11-23T01:37:25.1808304Z /var/lib/jenkins/workspace/test/test_vmap.py:34: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1808778Z   vmap(multiple_outputs)(torch.ones(3))
2022-11-23T01:37:25.1808978Z ok (0.001s)
2022-11-23T01:37:25.1809721Z   test_non_zero_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:310: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1810235Z   output = vmap(lambda x: x, (1,))(tensor)
2022-11-23T01:37:25.1810918Z /var/lib/jenkins/workspace/test/test_vmap.py:316: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1811395Z   output = vmap(torch.mul, (0, 1))(x, y)
2022-11-23T01:37:25.1812092Z /var/lib/jenkins/workspace/test/test_vmap.py:318: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1812570Z   output = vmap(torch.mul, (1, 0))(x, y)
2022-11-23T01:37:25.1812746Z ok (0.002s)
2022-11-23T01:37:25.1813479Z   test_none_in_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:326: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1814006Z   output = vmap(torch.mul, (0, None))(x, y)
2022-11-23T01:37:25.1814705Z /var/lib/jenkins/workspace/test/test_vmap.py:331: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1815189Z   output = vmap(torch.mul, (0, None))(x, 2)
2022-11-23T01:37:25.1815367Z ok (0.001s)
2022-11-23T01:37:25.1816103Z   test_nonzero_out_dims (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:171: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1816791Z   result = vmap(lambda x: x, out_dims=1)(tensor)
2022-11-23T01:37:25.1817550Z /var/lib/jenkins/workspace/test/test_vmap.py:177: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1818035Z   result = vmap(lambda x: x, out_dims=2)(tensor)
2022-11-23T01:37:25.1818729Z /var/lib/jenkins/workspace/test/test_vmap.py:183: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1819261Z   result = vmap(lambda x: x, out_dims=-1)(tensor)
2022-11-23T01:37:25.1819950Z /var/lib/jenkins/workspace/test/test_vmap.py:190: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1820497Z   result = vmap(lambda x, y: (x, y), out_dims=2)(tensor, other)
2022-11-23T01:37:25.1821197Z /var/lib/jenkins/workspace/test/test_vmap.py:198: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1821679Z   result = vmap(lambda x: x, out_dims=2)(tensor)
2022-11-23T01:37:25.1822374Z /var/lib/jenkins/workspace/test/test_vmap.py:206: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1822851Z   result = vmap(foo, out_dims=1)(x, y)
2022-11-23T01:37:25.1823026Z ok (0.005s)
2022-11-23T01:37:25.1823773Z   test_noop_in_inner_vmap (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:139: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1824312Z   output = vmap(lambda x: vmap(lambda y: x)(y))(x)
2022-11-23T01:37:25.1824514Z ok (0.001s)
2022-11-23T01:37:25.1825252Z   test_not_enough_in_dims_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:423: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1825771Z   vmap(torch.mul, (0,))(x, y)
2022-11-23T01:37:25.1826450Z /var/lib/jenkins/workspace/test/test_vmap.py:425: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1826921Z   vmap(torch.mul, (0, 0, 0))(x, y)
2022-11-23T01:37:25.1827590Z /var/lib/jenkins/workspace/test/test_vmap.py:427: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1828078Z   vmap(lambda z: z[0] + z[1], in_dims=([0],))([x, y])
2022-11-23T01:37:25.1828764Z /var/lib/jenkins/workspace/test/test_vmap.py:429: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1829258Z   vmap(lambda z: z[0] + z[1], in_dims=((0, 0),))([x, y])
2022-11-23T01:37:25.1829986Z /var/lib/jenkins/workspace/test/test_vmap.py:431: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1830442Z   vmap(torch.mul, (0, 0))(x, y)
2022-11-23T01:37:25.1830626Z ok (0.001s)
2022-11-23T01:37:25.1831382Z   test_out_dim_out_of_bounds_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:302: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1831929Z   vmap(lambda x: x, out_dims=3)(x)
2022-11-23T01:37:25.1832603Z /var/lib/jenkins/workspace/test/test_vmap.py:304: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1833114Z   vmap(lambda x: x, out_dims=-4)(x)
2022-11-23T01:37:25.1833303Z ok (0.005s)
2022-11-23T01:37:25.1834161Z   test_out_dims_and_num_outputs_mismatch_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:285: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1834701Z   vmap(lambda x: x, out_dims=(0, 0))(x)
2022-11-23T01:37:25.1835377Z /var/lib/jenkins/workspace/test/test_vmap.py:287: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1835866Z   vmap(lambda x: (x, x, x), out_dims=(0, 0, 0, 0))(x)
2022-11-23T01:37:25.1836558Z /var/lib/jenkins/workspace/test/test_vmap.py:291: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1837029Z   vmap(lambda x: (x, x), out_dims=(0,))(x)
2022-11-23T01:37:25.1837701Z /var/lib/jenkins/workspace/test/test_vmap.py:293: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1838176Z   vmap(lambda x: (x, x, x), out_dims=(0, 0))(x)
2022-11-23T01:37:25.1838371Z ok (0.001s)
2022-11-23T01:37:25.1839114Z   test_out_dims_edge_case (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:263: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1839628Z   expected = vmap(foo, out_dims=1)(tensor)
2022-11-23T01:37:25.1840313Z /var/lib/jenkins/workspace/test/test_vmap.py:264: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1840792Z   result = vmap(foo, out_dims=(1,))(tensor)
2022-11-23T01:37:25.1840981Z ok (0.001s)
2022-11-23T01:37:25.1841783Z   test_out_dims_must_be_int_or_tuple_of_int_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:271: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1842374Z   vmap(lambda x: x, out_dims='lol')(tensor)
2022-11-23T01:37:25.1843067Z /var/lib/jenkins/workspace/test/test_vmap.py:273: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1843594Z   vmap(lambda x: x, out_dims=('lol',))(tensor)
2022-11-23T01:37:25.1844319Z /var/lib/jenkins/workspace/test/test_vmap.py:275: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1844786Z   vmap(lambda x: x, out_dims=None)(tensor)
2022-11-23T01:37:25.1845473Z /var/lib/jenkins/workspace/test/test_vmap.py:277: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1845954Z   vmap(lambda x: x, out_dims=(None,))(tensor)
2022-11-23T01:37:25.1846146Z ok (0.001s)
2022-11-23T01:37:25.1846867Z   test_single_input (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:72: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1847372Z   output = vmap(square)(x)
2022-11-23T01:37:25.1847552Z ok (0.001s)
2022-11-23T01:37:25.1848307Z   test_unsupported_op_err_msg (__main__.TestVmapAPI) ... /var/lib/jenkins/workspace/test/test_vmap.py:150: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1848818Z   vmap(torch.ravel)(tensor)
2022-11-23T01:37:25.1849486Z /var/lib/jenkins/workspace/test/test_vmap.py:156: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1849960Z   vmap(out_op)(tensor, tensor)
2022-11-23T01:37:25.1850643Z /var/lib/jenkins/workspace/test/test_vmap.py:161: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1851133Z   vmap(lambda t: torch.atleast_1d([t]))(tensor)
2022-11-23T01:37:25.1851818Z /var/lib/jenkins/workspace/test/test_vmap.py:166: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1852290Z   vmap(torch.Tensor.item)(tensor)
2022-11-23T01:37:25.1852479Z ok (0.011s)
2022-11-23T01:37:25.1852692Z   test_T_numpy (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:37:25.1852950Z   test_as_strided (__main__.TestVmapOperators) ... ok (0.025s)
2022-11-23T01:37:25.1853236Z   test_binary_pointwise_ops (__main__.TestVmapOperators) ... ok (0.115s)
2022-11-23T01:37:25.1853511Z   test_bmm (__main__.TestVmapOperators) ... ok (0.032s)
2022-11-23T01:37:25.1853752Z   test_cat (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:37:25.1854050Z   test_chunk (__main__.TestVmapOperators) ... ok (0.019s)
2022-11-23T01:37:25.1854308Z   test_clamp (__main__.TestVmapOperators) ... ok (0.015s)
2022-11-23T01:37:25.1854550Z   test_clone (__main__.TestVmapOperators) ... ok (0.014s)
2022-11-23T01:37:25.1854813Z   test_comparison_ops (__main__.TestVmapOperators) ... ok (0.052s)
2022-11-23T01:37:25.1855081Z   test_conj (__main__.TestVmapOperators) ... ok (0.007s)
2022-11-23T01:37:25.1855343Z   test_contiguous (__main__.TestVmapOperators) ... ok (0.007s)
2022-11-23T01:37:25.1855600Z   test_diagonal (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:37:25.1855892Z   test_dot (__main__.TestVmapOperators) ... ok (0.013s)
2022-11-23T01:37:25.1856154Z   test_expand_as (__main__.TestVmapOperators) ... ok (0.006s)
2022-11-23T01:37:25.1856542Z   test_fill_and_zero_inplace (__main__.TestVmapOperators) ... ok (0.014s)
2022-11-23T01:37:25.1856834Z   test_imag (__main__.TestVmapOperators) ... ok (0.008s)
2022-11-23T01:37:25.1857101Z   test_is_complex (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:37:25.1857360Z   test_is_contiguous (__main__.TestVmapOperators) ... ok (0.007s)
2022-11-23T01:37:25.1857646Z   test_is_floating_point (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:37:25.1857916Z   test_mm (__main__.TestVmapOperators) ... ok (0.014s)
2022-11-23T01:37:25.1858176Z   test_movedim (__main__.TestVmapOperators) ... ok (0.008s)
2022-11-23T01:37:25.1858422Z   test_mv (__main__.TestVmapOperators) ... ok (0.013s)
2022-11-23T01:37:25.1858680Z   test_narrow (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:37:25.1858946Z   test_new_empty (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:37:25.1859217Z   test_new_empty_strided (__main__.TestVmapOperators) ... ok (0.009s)
2022-11-23T01:37:25.1859494Z   test_new_zeros (__main__.TestVmapOperators) ... ok (0.002s)
2022-11-23T01:37:25.1859773Z   test_no_random_op_support (__main__.TestVmapOperators) ... ok (0.103s)
2022-11-23T01:37:25.1860036Z   test_real (__main__.TestVmapOperators) ... ok (0.008s)
2022-11-23T01:37:25.1860297Z   test_reshape (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:37:25.1860563Z   test_reshape_as (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:37:25.1860834Z   test_result_type (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:37:25.1861084Z   test_select (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:37:25.1861342Z   test_slice (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:37:25.1861601Z   test_split (__main__.TestVmapOperators) ... ok (0.039s)
2022-11-23T01:37:25.1861849Z   test_squeeze (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:37:25.1862110Z   test_stack (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:37:25.1862362Z   test_stride (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:37:25.1862611Z   test_sum_dim (__main__.TestVmapOperators) ... ok (0.006s)
2022-11-23T01:37:25.1862863Z   test_t (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:37:25.1863129Z   test_tensor_split (__main__.TestVmapOperators) ... ok (0.088s)
2022-11-23T01:37:25.1863392Z   test_to (__main__.TestVmapOperators) ... ok (0.005s)
2022-11-23T01:37:25.1863633Z   test_trace (__main__.TestVmapOperators) ... ok (0.003s)
2022-11-23T01:37:25.1863895Z   test_transpose (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:37:25.1864177Z   test_unary_pointwise_ops (__main__.TestVmapOperators) ... ok (0.097s)
2022-11-23T01:37:25.1864440Z   test_unbind (__main__.TestVmapOperators) ... ok (0.112s)
2022-11-23T01:37:25.1864699Z   test_unfold (__main__.TestVmapOperators) ... ok (0.004s)
2022-11-23T01:37:25.1864961Z   test_view (__main__.TestVmapOperators) ... ok (0.011s)
2022-11-23T01:37:25.1865210Z   test_view_as (__main__.TestVmapOperators) ... ok (0.012s)
2022-11-23T01:37:25.1865479Z   test_view_as_complex (__main__.TestVmapOperators) ... ok (0.062s)
2022-11-23T01:37:25.1865758Z   test_view_as_real (__main__.TestVmapOperators) ... ok (0.008s)
2022-11-23T01:37:25.1866098Z   test_vmap_fallback_check (__main__.TestVmapOperators) ... ok (0.001s)
2022-11-23T01:37:25.1866945Z   test_vmap_fallback_check_ok (__main__.TestVmapOperators) ... /var/lib/jenkins/workspace/test/test_vmap.py:964: UserWarning: Please use functorch.vmap instead of torch.vmap (https://github.com/pytorch/functorch). We've moved development on torch.vmap over to functorch; functorch's vmap has a multitude of significant performance and functionality improvements.
2022-11-23T01:37:25.1867495Z   vmap(op_using_fallback)(torch.rand(3))
2022-11-23T01:37:25.1867691Z ok (0.001s)
2022-11-23T01:37:25.1867796Z 
2022-11-23T01:37:25.1867997Z ----------------------------------------------------------------------
2022-11-23T01:37:25.1868283Z Ran 95 tests in 1.732s
2022-11-23T01:37:25.1868398Z 
2022-11-23T01:37:25.1868460Z OK
2022-11-23T01:37:25.1868552Z 
2022-11-23T01:37:25.1868638Z Generating XML reports...
2022-11-23T01:37:25.1869013Z Generated XML report: test-reports/python-unittest/test_vmap/TEST-TestVmapAPI-20221123013723.xml
2022-11-23T01:37:25.1869507Z Generated XML report: test-reports/python-unittest/test_vmap/TEST-TestVmapOperators-20221123013723.xml
2022-11-23T01:37:25.1869734Z 
2022-11-23T01:37:25.1870085Z ##[endgroup]
2022-11-23T01:37:25.1870432Z FINISHED PRINTING LOG FILE of test_vmap (/var/lib/jenkins/workspace/test/test-reports/test_vmap_ugmbk_9y)
2022-11-23T01:37:25.1870636Z 
2022-11-23T01:37:27.0745504Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:27.1647375Z Ignoring disabled issues:  []
2022-11-23T01:37:27.1830367Z Running test_vulkan ... [2022-11-23 01:37:27.182765]
2022-11-23T01:37:27.1832354Z Executing ['/opt/conda/bin/python', '-bb', 'test_vulkan.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:27.183037]
2022-11-23T01:37:28.8955979Z 
2022-11-23T01:37:28.8956488Z Expand the folded group to see the log file of test_vulkan
2022-11-23T01:37:28.8957448Z ##[group]PRINTING LOG FILE of test_vulkan (/var/lib/jenkins/workspace/test/test-reports/test_vulkan_r24xnt7w)
2022-11-23T01:37:28.8957725Z 
2022-11-23T01:37:28.8957803Z Running tests...
2022-11-23T01:37:28.8958247Z ----------------------------------------------------------------------
2022-11-23T01:37:28.8958707Z   test_conv (__main__.TestVulkanRewritePass) ... Test results will be stored in test-reports/python-unittest/test_vulkan
2022-11-23T01:37:28.8959107Z skip: Vulkan backend must be available for these tests. (0.002s)
2022-11-23T01:37:28.8959267Z 
2022-11-23T01:37:28.8959467Z ----------------------------------------------------------------------
2022-11-23T01:37:28.8959728Z Ran 1 test in 0.003s
2022-11-23T01:37:28.8959856Z 
2022-11-23T01:37:28.8959939Z OK (skipped=1)
2022-11-23T01:37:28.8960047Z 
2022-11-23T01:37:28.8960132Z Generating XML reports...
2022-11-23T01:37:28.8960611Z Generated XML report: test-reports/python-unittest/test_vulkan/TEST-TestVulkanRewritePass-20221123013728.xml
2022-11-23T01:37:28.8960853Z 
2022-11-23T01:37:28.8961060Z ##[endgroup]
2022-11-23T01:37:28.8961483Z FINISHED PRINTING LOG FILE of test_vulkan (/var/lib/jenkins/workspace/test/test-reports/test_vulkan_r24xnt7w)
2022-11-23T01:37:28.8961689Z 
2022-11-23T01:37:30.9248478Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:31.0040665Z Ignoring disabled issues:  []
2022-11-23T01:37:31.0228668Z Running test_xnnpack_integration ... [2022-11-23 01:37:31.022488]
2022-11-23T01:37:31.0229753Z Executing ['/opt/conda/bin/python', '-bb', 'test_xnnpack_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:31.022763]
2022-11-23T01:37:41.0782161Z 
2022-11-23T01:37:41.0782690Z Expand the folded group to see the log file of test_xnnpack_integration
2022-11-23T01:37:41.0784071Z ##[group]PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_iql3nejh)
2022-11-23T01:37:41.0784656Z 
2022-11-23T01:37:41.0784822Z Running tests...
2022-11-23T01:37:41.0785603Z ----------------------------------------------------------------------
2022-11-23T01:37:41.0786810Z Test results will be stored in test-reports/python-unittest/test_xnnpack_integration
2022-11-23T01:37:41.0787827Z   test_conv1d_basic (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:37:41.0788996Z   test_conv1d_with_relu_fc (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:37:41.0789871Z   test_conv2d (__main__.TestXNNPACKOps) ... ok (1.090s)
2022-11-23T01:37:41.0790498Z   test_conv2d_transpose (__main__.TestXNNPACKOps) ... ok (1.446s)
2022-11-23T01:37:41.0791497Z   test_linear (__main__.TestXNNPACKOps) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.001s)
2022-11-23T01:37:41.0792326Z   test_linear_1d_input (__main__.TestXNNPACKOps) ... ok (0.198s)
2022-11-23T01:37:41.0792999Z   test_decomposed_linear (__main__.TestXNNPACKRewritePass) ... ok (0.088s)
2022-11-23T01:37:41.0793717Z   test_linear (__main__.TestXNNPACKRewritePass) ... ok (1.058s)
2022-11-23T01:37:41.0794734Z   test_combined_model (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.004s)
2022-11-23T01:37:41.0795635Z   test_conv2d (__main__.TestXNNPACKSerDes) ... ok (1.959s)
2022-11-23T01:37:41.0796262Z   test_conv2d_transpose (__main__.TestXNNPACKSerDes) ... ok (2.241s)
2022-11-23T01:37:41.0797174Z   test_linear (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.001s)
2022-11-23T01:37:41.0797752Z 
2022-11-23T01:37:41.0798271Z ----------------------------------------------------------------------
2022-11-23T01:37:41.0798817Z Ran 12 tests in 8.089s
2022-11-23T01:37:41.0799071Z 
2022-11-23T01:37:41.0799239Z OK (skipped=5)
2022-11-23T01:37:41.0799495Z 
2022-11-23T01:37:41.0799686Z Generating XML reports...
2022-11-23T01:37:41.0800704Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKOps-20221123013732.xml
2022-11-23T01:37:41.0802044Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKRewritePass-20221123013732.xml
2022-11-23T01:37:41.0803415Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKSerDes-20221123013732.xml
2022-11-23T01:37:41.0804878Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKConv1dTransformPass-20221123013732.xml
2022-11-23T01:37:41.0805606Z 
2022-11-23T01:37:41.0806152Z ##[endgroup]
2022-11-23T01:37:41.0807162Z FINISHED PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_iql3nejh)
2022-11-23T01:37:41.0807775Z 
2022-11-23T01:37:42.9988116Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:37:43.0770335Z Ignoring disabled issues:  []
2022-11-23T01:45:09.4450800Z 
2022-11-23T01:45:09.4451355Z Expand the folded group to see the log file of test_quantization
2022-11-23T01:45:09.4452411Z ##[group]PRINTING LOG FILE of test_quantization (/var/lib/jenkins/workspace/test/test-reports/test_quantization_uikzvirg)
2022-11-23T01:45:09.4457371Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:45:09.4458172Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:45:09.4459067Z 
2022-11-23T01:45:09.4459666Z Running tests...
2022-11-23T01:45:09.4460256Z ----------------------------------------------------------------------
2022-11-23T01:45:09.4460866Z Test results will be stored in test-reports/python-unittest/test_quantization
2022-11-23T01:45:09.4461478Z   test_modules_import_nn_intrinsic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.012s)
2022-11-23T01:45:09.4462406Z   test_modules_import_nn_intrinsic_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4463159Z   test_modules_import_nn_intrinsic_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4497786Z   test_modules_intrinsic_qat_conv_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4498515Z   test_modules_intrinsic_qat_linear_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4499256Z   test_modules_intrinsic_qat_linear_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4500315Z   test_modules_intrinsic_quantized_bn_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4501031Z   test_modules_intrinsic_quantized_conv_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4501887Z   test_modules_intrinsic_quantized_linear_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4502715Z   test_modules_nn_intrinsic_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4503540Z   test_package_import_nn_intrinsic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s)
2022-11-23T01:45:09.4504370Z   test_package_import_nn_intrinsic_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic)
2022-11-23T01:45:09.4504899Z Tests the migration of the torch.nn.intrinsic.modules ... ok (0.001s)
2022-11-23T01:45:09.4505534Z   test_package_import_nn_intrinsic_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic)
2022-11-23T01:45:09.4506225Z Tests the migration of the torch.nn.intrinsic.modules ... ok (0.001s)
2022-11-23T01:45:09.4506946Z   test_package_import_nn_intrinsic_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic)
2022-11-23T01:45:09.4507616Z Tests the migration of the torch.nn.intrinsic.quantized ... ok (0.001s)
2022-11-23T01:45:09.4508256Z   test_functional_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2022-11-23T01:45:09.4508619Z Tests the migration of the torch.nn.quantized.functional ... ok (0.001s)
2022-11-23T01:45:09.4508986Z   test_import_nn_qat_conv (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4509425Z   test_import_nn_qat_dynamic_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4509875Z   test_import_nn_qat_embedding_ops (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4510319Z   test_import_nn_qat_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4510748Z   test_import_nn_quantizable_activation (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4511192Z   test_import_nn_quantizable_rnn (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4511642Z   test_import_nn_quantized_dynamic_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4540990Z   test_modules_activation (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4541713Z   test_modules_batchnorm (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4542417Z   test_modules_conv (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4544748Z   test_modules_dropout (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4545553Z   test_modules_embedding_ops (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4546149Z   test_modules_functional_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4546738Z   test_modules_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4547409Z   test_modules_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4548155Z   test_modules_normalization (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4548962Z   test_modules_utils (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4549681Z   test_package_import_nn_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4550414Z   test_package_import_nn_qat_dynamic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2022-11-23T01:45:09.4551021Z Tests the migration of the torch.nn.qat.modules ... ok (0.001s)
2022-11-23T01:45:09.4551667Z   test_package_import_nn_qat_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2022-11-23T01:45:09.4552324Z Tests the migration of the torch.nn.qat.modules ... ok (0.001s)
2022-11-23T01:45:09.4552888Z   test_package_import_nn_quantizable (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4553372Z   test_package_import_nn_quantizable_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2022-11-23T01:45:09.4553748Z Tests the migration of the torch.nn.quantizable.modules ... ok (0.001s)
2022-11-23T01:45:09.4554134Z   test_package_import_nn_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4554684Z   test_package_import_nn_quantized_dynamic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s)
2022-11-23T01:45:09.4555132Z   test_package_import_nn_quantized_dynamic_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2022-11-23T01:45:09.4555511Z Tests the migration of the torch.nn.quantized.modules ... ok (0.001s)
2022-11-23T01:45:09.4555890Z   test_package_import_nn_quantized_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized)
2022-11-23T01:45:09.4556266Z Tests the migration of the torch.nn.quantized.modules ... ok (0.001s)
2022-11-23T01:45:09.4556646Z   test_function_import_fake_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4557111Z   test_function_import_fuse_modules (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4557585Z   test_function_import_fuser_method_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4558053Z   test_function_import_observer (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4558491Z   test_function_import_qconfig (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4558944Z   test_function_import_quant_type (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4559413Z   test_function_import_quantization_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4559883Z   test_function_import_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4560407Z   test_function_import_quantize_jit (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4560859Z   test_function_import_stubs (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4561303Z   test_function_import_utils (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4561759Z   test_package_import_fake_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4562206Z   test_package_import_fuse_modules (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4562717Z   test_package_import_fuser_method_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4563191Z   test_package_import_observer (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4563649Z   test_package_import_qconfig (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4564091Z   test_package_import_quant_type (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4564561Z   test_package_import_quantization_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4565028Z   test_package_import_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4565468Z   test_package_import_quantize_jit (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4565923Z   test_package_import_stubs (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4566367Z   test_package_import_utils (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s)
2022-11-23T01:45:09.4566801Z   test_function_import_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4567230Z   test_function_import_fx_convert (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4567677Z   test_function_import_fx_equalize (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4568122Z   test_function_import_fx_fuse (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4568569Z   test_function_import_fx_fusion_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4569013Z   test_function_import_fx_graph_module (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4569467Z   test_function_import_fx_match_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4569921Z   test_function_import_fx_pattern_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4570369Z   test_function_import_fx_prepare (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4570819Z   test_function_import_fx_quantization_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4571271Z   test_function_import_fx_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4571712Z   test_function_import_quantize_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4572149Z   test_package_import_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4572609Z   test_package_import_fx_convert (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4573055Z   test_package_import_fx_equalize (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4573496Z   test_package_import_fx_fuse (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4573943Z   test_package_import_fx_fusion_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4574392Z   test_package_import_fx_graph_module (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4574875Z   test_package_import_fx_match_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4575331Z   test_package_import_fx_pattern_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4575780Z   test_package_import_fx_prepare (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4576227Z   test_package_import_fx_quantization_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4576965Z   test_package_import_fx_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4577648Z   test_package_import_quantize_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s)
2022-11-23T01:45:09.4578348Z   test_backend_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.004s)
2022-11-23T01:45:09.4579018Z   test_backend_config_set_backend_pattern_config (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s)
2022-11-23T01:45:09.4579707Z   test_backend_config_set_name (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4580359Z   test_backend_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s)
2022-11-23T01:45:09.4581037Z   test_backend_op_config_add_dtype_config (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4581702Z   test_backend_op_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.003s)
2022-11-23T01:45:09.4582398Z   test_backend_op_config_set_extra_inputs_getter (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4583084Z   test_backend_op_config_set_fused_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4583768Z   test_backend_op_config_set_fuser_method (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4584449Z   test_backend_op_config_set_input_output_observed (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4585165Z   test_backend_op_config_set_input_type_to_index (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4585984Z   test_backend_op_config_set_num_tensor_args_to_observation_type (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4586799Z   test_backend_op_config_set_observation_type (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4587373Z   test_backend_op_config_set_qat_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4587803Z   test_backend_op_config_set_reference_quantized_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4588222Z   test_backend_op_config_set_root_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4588732Z   test_backend_op_config_set_root_node_getter (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4589123Z   test_backend_op_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s)
2022-11-23T01:45:09.4589513Z   test_dtype_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4589897Z   test_dtype_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s)
2022-11-23T01:45:09.4590289Z   test_conv_chain (quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager) ... ok (0.741s)
2022-11-23T01:45:09.4590732Z   test_linear_chain (quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager) ... ok (0.096s)
2022-11-23T01:45:09.4591124Z   test_compare_tensor_scalar (quantization.core.test_quantized_op.TestComparatorOps) ... ok (0.718s)
2022-11-23T01:45:09.4591507Z   test_compare_tensor_tensor (quantization.core.test_quantized_op.TestComparatorOps) ... ok (0.382s)
2022-11-23T01:45:09.4591917Z   test_erase_class_tensor_shapes (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... ok (0.010s)
2022-11-23T01:45:09.4592343Z   test_quantization_modules (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... ok (0.088s)
2022-11-23T01:45:09.4593248Z   test_rnn_cell_quantized (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:510: UserWarning: quantize_rnn_cell_modules function has been deprecated. Please use torch.ao.quantization.quantize_dynamic API instead.
2022-11-23T01:45:09.4593881Z   warnings.warn("quantize_rnn_cell_modules function has been deprecated. "
2022-11-23T01:45:09.4594660Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:100: UserWarning: torch.jit.QuantizedRNNCellBase is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.RNNCell instead.
2022-11-23T01:45:09.4595103Z   warnings.warn(
2022-11-23T01:45:09.4595701Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:213: UserWarning: torch.jit.QuantizedLSTMCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.LSTMCell instead.
2022-11-23T01:45:09.4596211Z   warnings.warn(
2022-11-23T01:45:09.4597270Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:236: UserWarning: torch.jit.QuantizedGRUCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.GRUCell instead.
2022-11-23T01:45:09.4597693Z   warnings.warn(
2022-11-23T01:45:09.4598277Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:178: UserWarning: torch.jit.QuantizedRNNCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.RNNCell instead.
2022-11-23T01:45:09.4598690Z   warnings.warn(
2022-11-23T01:45:09.4598861Z ok (0.108s)
2022-11-23T01:45:09.4599556Z   test_rnn_quantized (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:556: UserWarning: quantize_rnn_modules function has been deprecated. Please use torch.ao.quantization.quantize_dynamic API instead.
2022-11-23T01:45:09.4600092Z   warnings.warn("quantize_rnn_modules function has been deprecated. "
2022-11-23T01:45:09.4600723Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:264: UserWarning: torch.jit.QuantizedRNNBase is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic instead.
2022-11-23T01:45:09.4601133Z   warnings.warn(
2022-11-23T01:45:09.4601713Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:369: UserWarning: torch.jit.QuantizedLSTM is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.LSTM instead.
2022-11-23T01:45:09.4602168Z   warnings.warn(
2022-11-23T01:45:09.4602738Z /opt/conda/lib/python3.10/site-packages/torch/jit/quantized.py:449: UserWarning: torch.jit.QuantizedGRU is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.GRU instead.
2022-11-23T01:45:09.4603144Z   warnings.warn(
2022-11-23T01:45:09.4603304Z ok (0.089s)
2022-11-23T01:45:09.4603704Z   test_device_affinity (quantization.core.test_workflow_module.TestDistributed) ... skip: multi-GPU not supported (0.000s)
2022-11-23T01:45:09.4604110Z   test_fake_quant_preserves_buffers (quantization.core.test_workflow_module.TestDistributed)
2022-11-23T01:45:09.4604510Z Tests that fake quant only modifies buffers in place. Note: this is important ... ok (0.003s)
2022-11-23T01:45:09.4604849Z   test_observers_preserve_buffers (quantization.core.test_workflow_module.TestDistributed)
2022-11-23T01:45:09.4605203Z Tests that observers only modify buffers in place. Note: this is important ... ok (0.007s)
2022-11-23T01:45:09.4605564Z   test_qat_convbn_fused_syncbn_replacement (quantization.core.test_workflow_module.TestDistributed)
2022-11-23T01:45:09.4606337Z Tests that SyncBatchNorm replacement works for fused ConvBN. ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-11-23T01:45:09.4606773Z   warnings.warn(
2022-11-23T01:45:09.4606948Z ok (0.005s)
2022-11-23T01:45:09.4607214Z   test_qat_data_parallel (quantization.core.test_workflow_module.TestDistributed)
2022-11-23T01:45:09.4607644Z Tests that doing QAT in nn.DataParallel does not crash. ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:45:09.4608008Z   test_syncbn_preserves_qconfig (quantization.core.test_workflow_module.TestDistributed)
2022-11-23T01:45:09.4608349Z Makes sure that if a BatchNorm is not fused and a qconfig exists, ... ok (0.001s)
2022-11-23T01:45:09.4608876Z   test_cell_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qlinear_dynamic.cpp:247] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator())
2022-11-23T01:45:09.4609723Z /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:45:09.4610150Z   warnings.warn(message, UserWarning)
2022-11-23T01:45:09.4610353Z ok (0.753s)
2022-11-23T01:45:09.4611076Z   test_dynamic_conv1d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:58: UserWarning: The current implementation of the DynamicQuantizedConv1d module has poor numerical accuracy and its use is not recommended
2022-11-23T01:45:09.4611577Z   warnings.warn(
2022-11-23T01:45:09.4611906Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4612745Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/quantized/cpu/qconv_dynamic.cpp:82.)
2022-11-23T01:45:09.4613221Z   return callable(*args, **kwargs)
2022-11-23T01:45:09.4613578Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4614078Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4614555Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4615030Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4615495Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4615977Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4616639Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4617392Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4618106Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4618574Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4619026Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4619493Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4619970Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4620442Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4620907Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4621198Z ok (0.953s)
2022-11-23T01:45:09.4621942Z   test_dynamic_conv2d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:123: UserWarning: The current implementation of the DynamicQuantizedConv2d module has poor numerical accuracy and its use is not recommended
2022-11-23T01:45:09.4622439Z   warnings.warn(
2022-11-23T01:45:09.4622781Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4623242Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4623715Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4624181Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4624646Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4625166Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4625628Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4626102Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4626569Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4627082Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4627535Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4628005Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4628472Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4628933Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4629392Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4629857Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4630167Z ok (0.995s)
2022-11-23T01:45:09.4630892Z   test_dynamic_conv3d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:188: UserWarning: The current implementation of the DynamicQuantizedConv3d module has poor numerical accuracy and its use is not recommended
2022-11-23T01:45:09.4631387Z   warnings.warn(
2022-11-23T01:45:09.4631544Z ok (0.333s)
2022-11-23T01:45:09.4632311Z   test_dynamic_convtranspose1d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:258: UserWarning: The current implementation of the DynamicQuantizedConvTranpose1d module has poor numerical accuracy and its use is not recommended
2022-11-23T01:45:09.4632845Z   warnings.warn(
2022-11-23T01:45:09.4633172Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4633650Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4634124Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4634669Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4635138Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4635625Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4636101Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4636573Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4637033Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4637516Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4637978Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4638449Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4638911Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4639375Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4639827Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4640290Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4640597Z ok (0.933s)
2022-11-23T01:45:09.4641365Z   test_dynamic_convtranspose2d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:319: UserWarning: The current implementation of the DynamicQuantizedConvTranpose2d module has poor numerical accuracy and its use is not recommended
2022-11-23T01:45:09.4641879Z   warnings.warn(
2022-11-23T01:45:09.4642217Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4642688Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4643158Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4643620Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4644069Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4644534Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4644999Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4645500Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4645948Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4646409Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4646874Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4647370Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4647833Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4648281Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4648747Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4649211Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic)
2022-11-23T01:45:09.4649514Z ok (0.967s)
2022-11-23T01:45:09.4650266Z   test_dynamic_convtranspose3d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:380: UserWarning: The current implementation of the DynamicQuantizedConvTranpose3d module has poor numerical accuracy and its use is not recommended
2022-11-23T01:45:09.4650794Z   warnings.warn(
2022-11-23T01:45:09.4650965Z ok (0.267s)
2022-11-23T01:45:09.4651250Z   test_gru_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (0.293s)
2022-11-23T01:45:09.4651640Z   test_linear_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (16.557s)
2022-11-23T01:45:09.4652042Z   test_lstm_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (3.584s)
2022-11-23T01:45:09.4652438Z   test_dynamic_conv1d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.032s)
2022-11-23T01:45:09.4652810Z   test_dynamic_conv2d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.033s)
2022-11-23T01:45:09.4653190Z   test_dynamic_conv3d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.031s)
2022-11-23T01:45:09.4653590Z   test_dynamic_convtranspose1d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.030s)
2022-11-23T01:45:09.4653999Z   test_dynamic_convtranspose2d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.037s)
2022-11-23T01:45:09.4654390Z   test_dynamic_convtranspose3d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.004s)
2022-11-23T01:45:09.4654889Z   test_linear_prepack_fp16_numerics (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4655365Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4655712Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4656042Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4656549Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4656947Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4657286Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4657611Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4657955Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4658292Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4658672Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4659015Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4659353Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4659687Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4660010Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4660354Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4660692Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4661013Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4661351Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.4661600Z ok (0.049s)
2022-11-23T01:45:09.4661874Z   test_qlinear (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (1.481s)
2022-11-23T01:45:09.4662248Z   test_qlinear_dynamic_fp16 (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.021s)
2022-11-23T01:45:09.4662635Z   test_qlinear_legacy (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.184s)
2022-11-23T01:45:09.4663012Z   test_qlstmGRU (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (5.372s)
2022-11-23T01:45:09.4663368Z   test_qrnncell (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (6.591s)
2022-11-23T01:45:09.4663723Z   test_converged (quantization.eager.test_equalize_eager.TestEqualizeEager)
2022-11-23T01:45:09.4664036Z Sanity checks on _equalize.converged working ... ok (0.003s)
2022-11-23T01:45:09.4664365Z   test_cross_layer_equalization (quantization.eager.test_equalize_eager.TestEqualizeEager)
2022-11-23T01:45:09.4664707Z applies _equalize.cross_layer_equalization on two modules and checks ... ok (0.003s)
2022-11-23T01:45:09.4665038Z   test_equalize (quantization.eager.test_equalize_eager.TestEqualizeEager)
2022-11-23T01:45:09.4665371Z First checks to see if _equalize.equalize can handle multiple ... ok (0.017s)
2022-11-23T01:45:09.4665697Z   test_equalize_fused_convrelu (quantization.eager.test_equalize_eager.TestEqualizeEager)
2022-11-23T01:45:09.4666028Z Checks to see if eager mode equalization supports fused ... ok (0.034s)
2022-11-23T01:45:09.4666364Z   test_equalize_fused_linearrelu (quantization.eager.test_equalize_eager.TestEqualizeEager)
2022-11-23T01:45:09.4666696Z Checks to see if eager mode equalization supports fused ... ok (0.028s)
2022-11-23T01:45:09.4667017Z   test_input_weight_eq_observer (quantization.fx.test_equalize_fx.TestEqualizeFx) ... ok (0.239s)
2022-11-23T01:45:09.4667395Z   test_input_weight_equalization_activation_values (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4668250Z After applying the equalization functions check if the input ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:1482: UserWarning: Passing a QConfig dictionary to prepare is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead.
2022-11-23T01:45:09.4668719Z   warnings.warn(
2022-11-23T01:45:09.4669305Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:1488: UserWarning: Passing a QConfig dictionary to prepare for equalization is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead.
2022-11-23T01:45:09.4669724Z   warnings.warn(
2022-11-23T01:45:09.4669898Z ok (0.066s)
2022-11-23T01:45:09.4670160Z   test_input_weight_equalization_branching (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4670790Z Tests that graphs containing branches are prepared correctly. ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:756: UserWarning: Cannot equalize linear1 because it is part of a branch.
2022-11-23T01:45:09.4671201Z   warnings.warn(
2022-11-23T01:45:09.4671639Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:756: UserWarning: Cannot equalize linear2 because it is part of a branch.
2022-11-23T01:45:09.4671940Z   warnings.warn(
2022-11-23T01:45:09.4672112Z ok (0.024s)
2022-11-23T01:45:09.4672384Z   test_input_weight_equalization_convert (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4673212Z Tests that the modified model for equalization (before quantization) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear1_packed_weight_0 target linear1_packed_weight_0 linear1_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4673827Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4674610Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear2_packed_weight_0 target linear2_packed_weight_0 linear2_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4675181Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4675867Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear_packed_weight_0 target linear_packed_weight_0 linear_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4676422Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4677079Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv1_packed_weight_0 target conv1_packed_weight_0 conv1_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4677629Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4678300Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv2_packed_weight_0 target conv2_packed_weight_0 conv2_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4678845Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4679492Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv_packed_weight_0 target conv_packed_weight_0 conv_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4680041Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4680279Z ok (2.370s)
2022-11-23T01:45:09.4680567Z   test_input_weight_equalization_equalization_scales (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4680917Z After applying the equalization functions, check if the equalization ... ok (0.070s)
2022-11-23T01:45:09.4681303Z   test_input_weight_equalization_graphs (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4681956Z Tests that the modified model for equalization has the same graph ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:303: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-11-23T01:45:09.4682344Z   warnings.warn(
2022-11-23T01:45:09.4682867Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_equalize.py:190: UserWarning: Must run observer before calling calculate_equalization_scale. Returning default equalization scale torch.tensor(1).
2022-11-23T01:45:09.4683271Z   warnings.warn(
2022-11-23T01:45:09.4683810Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_equalize.py:102: UserWarning: Must call calculate_equalization_scale before calling calculate_scaled_minmax. Will not scale the next quantization observer.
2022-11-23T01:45:09.4684181Z   warnings.warn(
2022-11-23T01:45:09.4684624Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-11-23T01:45:09.4684946Z   warnings.warn(
2022-11-23T01:45:09.4685114Z ok (0.514s)
2022-11-23T01:45:09.4685368Z   test_input_weight_equalization_prepare (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4685697Z Tests that graphs created after prepare_fx is as expected ... ok (0.174s)
2022-11-23T01:45:09.4686028Z   test_input_weight_equalization_results (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4686357Z Tests that for small models, the results of quantized models that ... ok (0.226s)
2022-11-23T01:45:09.4686686Z   test_input_weight_equalization_weights_bias (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4687032Z After applying the equalization functions check if the weights and ... ok (0.070s)
2022-11-23T01:45:09.4687359Z   test_selective_equalization (quantization.fx.test_equalize_fx.TestEqualizeFx)
2022-11-23T01:45:09.4687666Z Tests that we are able to run numeric suite on the equalized model ... ok (0.134s)
2022-11-23T01:45:09.4688007Z   test_dict_return_type (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.190s)
2022-11-23T01:45:09.4688390Z   test_matching_failure_node_count (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.049s)
2022-11-23T01:45:09.4688781Z   test_matching_failure_node_type (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.038s)
2022-11-23T01:45:09.4689122Z   test_methods (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher)
2022-11-23T01:45:09.4689418Z Verify that graph matching works on methods ... ok (0.054s)
2022-11-23T01:45:09.4689734Z   test_nodes_before_cat (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.081s)
2022-11-23T01:45:09.4690513Z   test_nodes_with_equal_types_get_matched (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:1204: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-11-23T01:45:09.4690977Z   warnings.warn(
2022-11-23T01:45:09.4691149Z ok (0.125s)
2022-11-23T01:45:09.4691416Z   test_op_relationship_mapping (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher)
2022-11-23T01:45:09.4691736Z Tests that the mapping of op relationships is complete. ... ok (0.009s)
2022-11-23T01:45:09.4692068Z   test_results_order (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.173s)
2022-11-23T01:45:09.4692877Z   test_simple_fun (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_0 target _packed_weight_0 _packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4693543Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4693769Z ok (0.086s)
2022-11-23T01:45:09.4694035Z   test_simple_fusion (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.084s)
2022-11-23T01:45:09.4694392Z   test_simple_mod (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.062s)
2022-11-23T01:45:09.4694753Z   test_simple_mod_multi (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.071s)
2022-11-23T01:45:09.4695103Z   test_simple_tensor_ops (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.188s)
2022-11-23T01:45:09.4695465Z   test_user_defined_function (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher)
2022-11-23T01:45:09.4695827Z Verify that graph matching works on user defined functions ... ok (0.046s)
2022-11-23T01:45:09.4696747Z   test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
2022-11-23T01:45:09.4697223Z   warnings.warn(
2022-11-23T01:45:09.4697854Z /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.
2022-11-23T01:45:09.4698279Z   warnings.warn(msg)
2022-11-23T01:45:09.4698441Z ok (2.962s)
2022-11-23T01:45:09.4698723Z   test_mobilenet_v2_qat (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels) ... ok (3.684s)
2022-11-23T01:45:09.4699149Z   test_add_loggers_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:45:09.4700124Z   test_add_mul_inputs_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
2022-11-23T01:45:09.4700792Z   warnings.warn("The TorchScript type system doesn't support "
2022-11-23T01:45:09.4700998Z ok (2.440s)
2022-11-23T01:45:09.4701315Z   test_add_shadow_loggers_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:45:09.4702214Z   test_add_shadow_loggers_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_1 target _packed_weight_1 _packed_weight_1 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4702862Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4703085Z ok (0.555s)
2022-11-23T01:45:09.4703382Z   test_add_shadow_loggers_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.443s)
2022-11-23T01:45:09.4703796Z   test_add_shadow_loggers_meth_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4704182Z Verify that add_loggers works on methods ... skipping shadow loggers for node_b: str, start_node_a: str, unknown dtype cast
2022-11-23T01:45:09.4704634Z skipping shadow loggers for node_b: torch.ao.quantization.observer.FixedQParamsObserver, start_node_a: str, unknown dtype cast
2022-11-23T01:45:09.4705040Z skipping shadow loggers for node_b: str, start_node_a: str, unknown dtype cast
2022-11-23T01:45:09.4705270Z ok (0.127s)
2022-11-23T01:45:09.4705555Z   test_add_shadow_loggers_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.918s)
2022-11-23T01:45:09.4706042Z   test_add_shadow_loggers_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.373s)
2022-11-23T01:45:09.4706481Z   test_extend_logger_results_with_comparison (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.077s)
2022-11-23T01:45:09.4707384Z   test_extract_weights_conv_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_2 target _packed_weight_2 _packed_weight_2 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4708074Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4708725Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_3 target _packed_weight_3 _packed_weight_3 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4709269Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4709911Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_4 target _packed_weight_4 _packed_weight_4 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4710445Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4711076Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_5 target _packed_weight_5 _packed_weight_5 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4711609Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4711845Z ok (0.818s)
2022-11-23T01:45:09.4712150Z   test_extract_weights_conv_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.747s)
2022-11-23T01:45:09.4712583Z   test_extract_weights_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:45:09.4713016Z   test_extract_weights_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.261s)
2022-11-23T01:45:09.4713424Z   test_extract_weights_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.079s)
2022-11-23T01:45:09.4713828Z   test_extract_weights_linear_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.397s)
2022-11-23T01:45:09.4714254Z   test_extract_weights_linear_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.420s)
2022-11-23T01:45:09.4714742Z   test_extract_weights_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.851s)
2022-11-23T01:45:09.4715155Z   test_extract_weights_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (1.006s)
2022-11-23T01:45:09.4715552Z   test_fp16_shadows_fp32 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.056s)
2022-11-23T01:45:09.4716173Z   test_int8_shadows_fp32_coverage (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: torch.nn.modules.pooling.AdaptiveAvgPool2d, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast
2022-11-23T01:45:09.4716895Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast
2022-11-23T01:45:09.4717442Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.mul, start_node_a: torch._ops.quantized.PyCapsule.mul, unsupported
2022-11-23T01:45:09.4717960Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._ops.quantized.PyCapsule.mul, unknown dtype cast
2022-11-23T01:45:09.4718512Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._ops.quantized.PyCapsule.add_relu, unsupported
2022-11-23T01:45:09.4719033Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._ops.quantized.PyCapsule.add_relu, unknown dtype cast
2022-11-23T01:45:09.4719386Z ok (0.162s)
2022-11-23T01:45:09.4719673Z   test_int8_shadows_fp32_simple (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.096s)
2022-11-23T01:45:09.4720090Z   test_int8_shadows_int8_fun (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.212s)
2022-11-23T01:45:09.4720523Z   test_int8_shadows_int8_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.084s)
2022-11-23T01:45:09.4720920Z   test_layer_names (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.248s)
2022-11-23T01:45:09.4721310Z   test_linear_fp16_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.423s)
2022-11-23T01:45:09.4721731Z   test_linear_fp16_shadow_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.411s)
2022-11-23T01:45:09.4722169Z   test_linear_fp16_vs_linear_fp16_shadow_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.054s)
2022-11-23T01:45:09.4722600Z   test_linear_fp16_weights (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.172s)
2022-11-23T01:45:09.4722993Z   test_linear_kwargs_shadow (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.046s)
2022-11-23T01:45:09.4723411Z   test_loggers_preserve_qat_numerics (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.191s)
2022-11-23T01:45:09.4723810Z   test_logging_inputs (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4724288Z Verifies that logging inputs works correctly ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4724790Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4725099Z ok (0.985s)
2022-11-23T01:45:09.4725390Z   test_match_activations_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.081s)
2022-11-23T01:45:09.4725802Z   test_match_activations_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.521s)
2022-11-23T01:45:09.4726205Z   test_match_activations_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.399s)
2022-11-23T01:45:09.4726615Z   test_match_activations_meth_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4726942Z Verify that add_loggers works on methods ... ok (0.156s)
2022-11-23T01:45:09.4727271Z   test_match_activations_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.657s)
2022-11-23T01:45:09.4727685Z   test_match_activations_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.298s)
2022-11-23T01:45:09.4728201Z   test_mul_add_cat_stack_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: _operator.mul, start_node_a: _operator.mul, unsupported
2022-11-23T01:45:09.4728747Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: _operator.mul, unsupported
2022-11-23T01:45:09.4729226Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.mul, start_node_a: torch._VariableFunctionsClass.mul, unsupported
2022-11-23T01:45:09.4729742Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch._VariableFunctionsClass.mul, unsupported
2022-11-23T01:45:09.4730248Z skipping shadow loggers for node_b: _operator.add, start_node_a: _operator.add, unsupported
2022-11-23T01:45:09.4730676Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: _operator.add, unsupported
2022-11-23T01:45:09.4731145Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4731656Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4732165Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4732691Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported
2022-11-23T01:45:09.4733125Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.mul, start_node_a: _operator.mul, unsupported
2022-11-23T01:45:09.4733569Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.mul, start_node_a: torch._VariableFunctionsClass.mul, unsupported
2022-11-23T01:45:09.4734014Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: _operator.add, unsupported
2022-11-23T01:45:09.4734461Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4734915Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4735397Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported
2022-11-23T01:45:09.4735715Z ok (1.418s)
2022-11-23T01:45:09.4736006Z   test_op_io_dtype_coverage (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4736355Z Tests that all the ops quantization cares about have input and output ... ok (0.010s)
2022-11-23T01:45:09.4736902Z   test_op_with_either_fp32_or_int8_input (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4737426Z Verify that shadowing works with ops which accept either fp32 or ... skipping shadow loggers for node_b: torch.nn.modules.activation.ReLU, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast
2022-11-23T01:45:09.4738029Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast
2022-11-23T01:45:09.4738516Z skipping shadow loggers for node_b: torch.nn.functional.relu, start_node_a: torch.nn.functional.relu, unknown dtype cast
2022-11-23T01:45:09.4739014Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.functional.relu, unknown dtype cast
2022-11-23T01:45:09.4739534Z skipping shadow loggers for node_b: torch.nn.modules.activation.ReLU, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast
2022-11-23T01:45:09.4739996Z skipping shadow loggers for node_b: torch.nn.functional.relu, start_node_a: torch.nn.functional.relu, unknown dtype cast
2022-11-23T01:45:09.4740271Z ok (0.583s)
2022-11-23T01:45:09.4740731Z   test_op_with_only_kwargs_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4741344Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported
2022-11-23T01:45:09.4741820Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4742284Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported
2022-11-23T01:45:09.4742669Z ok (0.351s)
2022-11-23T01:45:09.4742970Z   test_ops_with_same_fp32_and_int8_signature (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4743333Z Verifies that we can match pairs of ops which have the same aten ... ok (0.450s)
2022-11-23T01:45:09.4743687Z   test_shadow_activations_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.079s)
2022-11-23T01:45:09.4744118Z   test_shadow_loggers_preserve_qat_numerics (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.089s)
2022-11-23T01:45:09.4744548Z   test_unsupported_op_copy_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4745090Z Copying a `call_function` node is not implemented, test that this ... skipping shadow loggers for node_b: torch.nn.functional.layer_norm, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy
2022-11-23T01:45:09.4745684Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy
2022-11-23T01:45:09.4746226Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.layer_norm, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy
2022-11-23T01:45:09.4746549Z ok (0.352s)
2022-11-23T01:45:09.4746818Z   test_user_defined_function (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4747469Z Verify that NS APIs work on user defined functions ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:45:09.4747915Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:45:09.4748317Z skipping shadow loggers for node_b: torch._C._nn.linear, start_node_a: quantization.fx.test_numeric_suite_fx._wrapped_linear, unknown dtype cast
2022-11-23T01:45:09.4748822Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: quantization.fx.test_numeric_suite_fx._wrapped_linear, unknown dtype cast
2022-11-23T01:45:09.4749189Z ok (0.314s)
2022-11-23T01:45:09.4749460Z   test_user_module (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs)
2022-11-23T01:45:09.4750208Z For user defined modules, ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py:149: UserWarning: Passing a prepare_custom_config_dict to prepare is deprecated and will not be supported in a future version. Please pass in a PrepareCustomConfig instead.
2022-11-23T01:45:09.4750635Z   warnings.warn(
2022-11-23T01:45:09.4750806Z ok (0.177s)
2022-11-23T01:45:09.4751104Z   test_user_module_scriptable (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.245s)
2022-11-23T01:45:09.4751540Z   test_compare_activations_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (1.118s)
2022-11-23T01:45:09.4751977Z   test_compare_activations_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.556s)
2022-11-23T01:45:09.4752964Z   test_compare_activations_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py:310: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:45:09.4753619Z   torch.tensor(weight_qparams["scale"], dtype=torch.float, device=device))
2022-11-23T01:45:09.4754331Z /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py:313: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:45:09.4754957Z   torch.tensor(weight_qparams["zero_point"], dtype=torch.int, device=device))
2022-11-23T01:45:09.4755185Z ok (0.235s)
2022-11-23T01:45:09.4755508Z   test_compare_shadow_activations_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (1.224s)
2022-11-23T01:45:09.4755973Z   test_compare_shadow_activations_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.684s)
2022-11-23T01:45:09.4756431Z   test_compare_shadow_activations_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.185s)
2022-11-23T01:45:09.4757598Z   test_compare_weights_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.723s)
2022-11-23T01:45:09.4758031Z   test_compare_weights_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.423s)
2022-11-23T01:45:09.4758473Z   test_compare_weights_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.339s)
2022-11-23T01:45:09.4759054Z   test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4759660Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4760159Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4760660Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4761159Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4761655Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4762153Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4762649Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4763140Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4763620Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4764116Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4764616Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4765112Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4765590Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4766079Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4766576Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4767069Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4767589Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4768082Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4768578Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4769107Z skipping shadow loggers for node_b: torch.nn.functional.adaptive_avg_pool2d, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy
2022-11-23T01:45:09.4769654Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy
2022-11-23T01:45:09.4770219Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4770690Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4771162Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4771609Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4772073Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4772537Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4773004Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4773457Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4773920Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4774380Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4774869Z skipping shadow loggers for node_b: torch.nn.functional.adaptive_avg_pool2d, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy
2022-11-23T01:45:09.4775193Z ok (10.188s)
2022-11-23T01:45:09.4775635Z   test_resnet18 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4776252Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4776874Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4777373Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4777854Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4778350Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4778847Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4779345Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4779888Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4780385Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4780877Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4781376Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4781908Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4782405Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4782899Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4783392Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4783878Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4784351Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4784830Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4785296Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4785753Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4786217Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4786688Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4787155Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported
2022-11-23T01:45:09.4787678Z skipping shadow loggers for node_b: torch.nn.modules.pooling.AdaptiveAvgPool2d, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast
2022-11-23T01:45:09.4788227Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.flatten, start_node_a: torch._VariableFunctionsClass.flatten, unknown dtype cast
2022-11-23T01:45:09.4788555Z ok (4.556s)
2022-11-23T01:45:09.4788873Z   test_sparsenn_compare_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (5.003s)
2022-11-23T01:45:09.4789484Z   test_sparsenn_shadow (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2022-11-23T01:45:09.4790168Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2022-11-23T01:45:09.4790696Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4791196Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2022-11-23T01:45:09.4791712Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4792208Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2022-11-23T01:45:09.4792760Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2022-11-23T01:45:09.4793281Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4793762Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast
2022-11-23T01:45:09.4794284Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported
2022-11-23T01:45:09.4794662Z ok (5.087s)
2022-11-23T01:45:09.4795080Z   test_conv_bn_relu_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4795460Z ok (0.059s)
2022-11-23T01:45:09.4796647Z   test_functions (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){}).
2022-11-23T01:45:09.4797583Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2022-11-23T01:45:09.4797944Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2022-11-23T01:45:09.4798221Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2022-11-23T01:45:09.4798544Z   warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize "
2022-11-23T01:45:09.4798952Z `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4799244Z ok (0.236s)
2022-11-23T01:45:09.4799651Z   test_linear_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4800026Z ok (0.029s)
2022-11-23T01:45:09.4800439Z   test_linear_relu_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4800827Z ok (0.086s)
2022-11-23T01:45:09.4801139Z   test_logger_enabled_and_save_activations_flags (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.039s)
2022-11-23T01:45:09.4801667Z   test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4802052Z ok (3.721s)
2022-11-23T01:45:09.4802444Z   test_partial_qconfig_mapping (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... unable to find at least one qconfig for node %fc : [#users=1] = call_module[target=fc](args = (%x,), kwargs = {}), skipping
2022-11-23T01:45:09.4802948Z unable to find at least one qconfig for node %add : [#users=1] = call_function[target=operator.add](args = (%relu, %relu), kwargs = {}), skipping
2022-11-23T01:45:09.4803392Z `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4803679Z ok (0.035s)
2022-11-23T01:45:09.4803994Z   test_qconfig_multi_mapping_deduplication (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.001s)
2022-11-23T01:45:09.4804552Z   test_qconfig_multi_mapping_end_to_end (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4804937Z ok (0.068s)
2022-11-23T01:45:09.4805397Z   test_qconfig_multi_mapping_from_list (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4805803Z ok (0.066s)
2022-11-23T01:45:09.4806114Z   test_qconfig_multi_mapping_insert_padding (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.002s)
2022-11-23T01:45:09.4806659Z   test_qconfig_multi_mapping_ordering (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2022-11-23T01:45:09.4807055Z ok (0.086s)
2022-11-23T01:45:09.4807370Z   test_qconfig_multi_mapping_retroactive_padding (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.002s)
2022-11-23T01:45:09.4807790Z   test_fq_module_per_channel (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.177s)
2022-11-23T01:45:09.4808175Z   test_fq_serializable_per_channel (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.003s)
2022-11-23T01:45:09.4808568Z   test_quant_min_max_override (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.001s)
2022-11-23T01:45:09.4808943Z   test_backward_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps)
2022-11-23T01:45:09.4809330Z Tests the backward method. ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.103s)
2022-11-23T01:45:09.4809752Z   test_backward_per_channel_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.016s)
2022-11-23T01:45:09.4810201Z   test_backward_per_channel_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s)
2022-11-23T01:45:09.4810612Z   test_backward_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps)
2022-11-23T01:45:09.4810931Z Tests the backward method. ... skip: temporarily disable the test (0.005s)
2022-11-23T01:45:09.4811293Z   test_backward_per_tensor_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.010s)
2022-11-23T01:45:09.4811738Z   test_backward_per_tensor_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s)
2022-11-23T01:45:09.4812163Z   test_fake_quant_control (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.013s)
2022-11-23T01:45:09.4812546Z   test_fake_quant_per_channel_qparam_range (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.379s)
2022-11-23T01:45:09.4812973Z   test_fake_quant_preserves_qparam_shapes_for_activations (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.005s)
2022-11-23T01:45:09.4813391Z   test_fixed_qparams_fq_module (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.104s)
2022-11-23T01:45:09.4814133Z   test_forward_backward_per_tensor_with_amp (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... /opt/conda/lib/python3.10/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
2022-11-23T01:45:09.4814769Z   warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')
2022-11-23T01:45:09.4815029Z ok (0.006s)
2022-11-23T01:45:09.4815296Z   test_forward_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps)
2022-11-23T01:45:09.4815649Z Tests the forward path of the FakeQuantizePerTensorAffine op. ... ok (0.126s)
2022-11-23T01:45:09.4816014Z   test_forward_per_channel_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.012s)
2022-11-23T01:45:09.4816633Z   test_forward_per_channel_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s)
2022-11-23T01:45:09.4817153Z   test_forward_per_channel_half_precision_numerics (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.012s)
2022-11-23T01:45:09.4817547Z   test_forward_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps)
2022-11-23T01:45:09.4817883Z Tests the forward path of the FakeQuantizePerTensorAffine op. ... ok (0.098s)
2022-11-23T01:45:09.4818264Z   test_forward_per_tensor_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.011s)
2022-11-23T01:45:09.4818707Z   test_forward_per_tensor_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s)
2022-11-23T01:45:09.4819142Z   test_forward_per_tensor_half_precision_numerics (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.005s)
2022-11-23T01:45:09.4819541Z   test_fq_module_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.141s)
2022-11-23T01:45:09.4819928Z   test_fq_serializable_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.007s)
2022-11-23T01:45:09.4820438Z   test_learnable_backward_per_channel_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s)
2022-11-23T01:45:09.4820966Z   test_learnable_backward_per_channel_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.003s)
2022-11-23T01:45:09.4821410Z   test_learnable_backward_per_tensor_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.320s)
2022-11-23T01:45:09.4821848Z   test_learnable_backward_per_tensor_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s)
2022-11-23T01:45:09.4822285Z   test_learnable_forward_per_channel_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.137s)
2022-11-23T01:45:09.4822713Z   test_learnable_forward_per_channel_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s)
2022-11-23T01:45:09.4823241Z   test_learnable_forward_per_tensor_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.003s)
2022-11-23T01:45:09.4823770Z   test_learnable_forward_per_tensor_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.003s)
2022-11-23T01:45:09.4824208Z   test_numerical_consistency_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.076s)
2022-11-23T01:45:09.4824618Z   test_numerical_consistency_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.030s)
2022-11-23T01:45:09.4824981Z   test_forward_hooks_preserved (quantization.eager.test_fuse_eager.TestFuseEager)
2022-11-23T01:45:09.4825319Z Test case that checks whether forward pre hooks of the first module and ... ok (0.015s)
2022-11-23T01:45:09.4825678Z   test_fuse_function_customization (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.001s)
2022-11-23T01:45:09.4826030Z   test_fuse_module_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.041s)
2022-11-23T01:45:09.4826379Z   test_fuse_module_train (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.350s)
2022-11-23T01:45:09.4826773Z   test_fusion_conv_with_bias (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.054s)
2022-11-23T01:45:09.4827141Z   test_fusion_convtranspose_bn_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.005s)
2022-11-23T01:45:09.4827492Z   test_fusion_linear_bn_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.003s)
2022-11-23T01:45:09.4827858Z   test_fusion_sequential_model_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (1.122s)
2022-11-23T01:45:09.4828233Z   test_fusion_sequential_model_train (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.370s)
2022-11-23T01:45:09.4828767Z   test_fuse_addtional_fuser_method (quantization.fx.test_quantize_fx.TestFuseFx) ... skip: Temporarily skipping the test case, will enable after the simplepattern format is supported (0.002s)
2022-11-23T01:45:09.4829184Z   test_fuse_conv_bn_relu (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.026s)
2022-11-23T01:45:09.4829532Z   test_fuse_convtranspose_bn_eval (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.007s)
2022-11-23T01:45:09.4829875Z   test_fuse_custom_pattern (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.008s)
2022-11-23T01:45:09.4830195Z   test_fuse_linear_bn_eval (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.005s)
2022-11-23T01:45:09.4830520Z   test_fuse_module_relu (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.007s)
2022-11-23T01:45:09.4830854Z   test_fusion_pattern_with_matchallnode (quantization.fx.test_quantize_fx.TestFuseFx)
2022-11-23T01:45:09.4831196Z This test tests that the node matched by MatchAllNode will be regared as an input ... ok (0.005s)
2022-11-23T01:45:09.4831528Z   test_fusion_pattern_with_multiple_inputs (quantization.fx.test_quantize_fx.TestFuseFx)
2022-11-23T01:45:09.4831848Z This test tests two keys in backend_config: root_node_getter and ... ok (0.005s)
2022-11-23T01:45:09.4832177Z   test_problematic_fuse_example (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.014s)
2022-11-23T01:45:09.4832503Z   test_qconfig_fused_module (quantization.fx.test_quantize_fx.TestFuseFx)
2022-11-23T01:45:09.4832766Z TODO: add test for all fused modules ... ok (0.036s)
2022-11-23T01:45:09.4833105Z   test_fused_backward_op_fake_quant_off (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) ... ok (0.005s)
2022-11-23T01:45:09.4833518Z   test_fused_obs_fake_quant_backward_op (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) ... ok (0.005s)
2022-11-23T01:45:09.4833901Z   test_fused_obs_fake_quant_moving_avg (quantization.core.test_workflow_ops.TestFusedObsFakeQuant)
2022-11-23T01:45:09.4834252Z Tests the case where we call the fused_obs_fake_quant op multiple times ... ok (0.012s)
2022-11-23T01:45:09.4834687Z   test_fused_obs_fake_quant_moving_avg_per_channel (quantization.core.test_workflow_ops.TestFusedObsFakeQuant)
2022-11-23T01:45:09.4835049Z Tests the case where we call the fused_obs_fake_quant op multiple times ... ok (0.033s)
2022-11-23T01:45:09.4835419Z   test_compare_fused_obs_fq_oss_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.009s)
2022-11-23T01:45:09.4835866Z   test_default_fused_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.013s)
2022-11-23T01:45:09.4836306Z   test_embedding_bag_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.016s)
2022-11-23T01:45:09.4836738Z   test_embedding_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.044s)
2022-11-23T01:45:09.4837159Z   test_fused_mod_per_channel (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.024s)
2022-11-23T01:45:09.4837591Z   test_fused_mod_reduce_range (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.001s)
2022-11-23T01:45:09.4838020Z   test_fused_obs_fq_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.005s)
2022-11-23T01:45:09.4838482Z   test_fused_obs_fq_moving_avg_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.007s)
2022-11-23T01:45:09.4838899Z   test_quantized_add_relu_fusion (quantization.jit.test_fusion_passes.TestFusionPasses) ... ok (0.016s)
2022-11-23T01:45:09.4839346Z   test_input_weight_equalization_determine_points (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.053s)
2022-11-23T01:45:09.4839839Z   test_input_weight_equalization_report_gen (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.047s)
2022-11-23T01:45:09.4840314Z   test_input_weight_equalization_report_gen_empty (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.012s)
2022-11-23T01:45:09.4840786Z   test_all_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.022s)
2022-11-23T01:45:09.4841262Z   test_multiple_run_consistent_spike_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.094s)
2022-11-23T01:45:09.4841819Z   test_no_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.024s)
2022-11-23T01:45:09.4842298Z   test_outlier_detection_determine_points (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.049s)
2022-11-23T01:45:09.4842739Z   test_constructor (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2022-11-23T01:45:09.4843073Z Tests the constructor of the ModelReport class. ... ok (0.016s)
2022-11-23T01:45:09.4843481Z   test_equalization_mapping_generation (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2022-11-23T01:45:09.4843929Z Tests for generation of qconfigs by ModelReport API ... ok (0.051s)
2022-11-23T01:45:09.4844275Z   test_generate_report (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2022-11-23T01:45:09.4844982Z Tests model_report.generate_model_report to ensure report generation ... /var/lib/jenkins/workspace/test/quantization/fx/test_model_report_fx.py:1061: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:45:09.4845605Z   example_input = torch.tensor(torch.randint(100, (1, 3, 3, 3)), dtype=torch.float)
2022-11-23T01:45:09.4845930Z ok (0.133s)
2022-11-23T01:45:09.4846223Z   test_generate_visualizer (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2022-11-23T01:45:09.4846663Z Tests that the ModelReport class can properly create the ModelReportVisualizer instance ... ok (0.032s)
2022-11-23T01:45:09.4847112Z   test_prepare_model_callibration (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2022-11-23T01:45:09.4847564Z Tests model_report.prepare_detailed_calibration that prepares the model for callibration ... ok (0.026s)
2022-11-23T01:45:09.4871444Z   test_qconfig_mapping_generation (quantization.fx.test_model_report_fx.TestFxModelReportClass)
2022-11-23T01:45:09.4871828Z Tests for generation of qconfigs by ModelReport API ... ok (0.051s)
2022-11-23T01:45:09.4872202Z   test_nested_detection_case (quantization.fx.test_model_report_fx.TestFxModelReportDetectDynamicStatic) ... ok (0.043s)
2022-11-23T01:45:09.4872645Z   test_conv_sub_class_considered (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.023s)
2022-11-23T01:45:09.4873068Z   test_fusion_layer_in_sequential (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.019s)
2022-11-23T01:45:09.4873481Z   test_multi_linear_model_without_per_channel (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.016s)
2022-11-23T01:45:09.4873904Z   test_multiple_q_config_options (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.019s)
2022-11-23T01:45:09.4874315Z   test_qat_aware_model_example (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.012s)
2022-11-23T01:45:09.4875001Z   test_sequential_model_format (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.019s)
2022-11-23T01:45:09.4875384Z   test_simple_conv (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.011s)
2022-11-23T01:45:09.4875774Z   test_observer_after_relu (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.019s)
2022-11-23T01:45:09.4876180Z   test_random_epochs_and_batches (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.128s)
2022-11-23T01:45:09.4876583Z   test_single_batch_of_ones (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.006s)
2022-11-23T01:45:09.4876965Z   test_zero_tensor_errors (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.017s)
2022-11-23T01:45:09.4877422Z   test_generate_tables_match_with_report (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer)
2022-11-23T01:45:09.4877746Z Tests the generate_table_view() ... ok (0.034s)
2022-11-23T01:45:09.4878068Z   test_generate_tables_no_match (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer)
2022-11-23T01:45:09.4878370Z Tests the generate_table_view() ... ok (0.032s)
2022-11-23T01:45:09.4878696Z   test_generate_tables_single_feat_match (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer)
2022-11-23T01:45:09.4879017Z Tests the generate_table_view() ... ok (0.031s)
2022-11-23T01:45:09.4879321Z   test_get_modules_and_features (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer)
2022-11-23T01:45:09.4879683Z Tests the get_all_unique_module_fqns and get_all_unique_feature_names methods of ... ok (0.032s)
2022-11-23T01:45:09.4880055Z   test_histogram_observer (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (21.237s)
2022-11-23T01:45:09.4880478Z   test_histogram_observer_against_reference (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (4.525s)
2022-11-23T01:45:09.4880891Z   test_histogram_observer_extreme_inputs (quantization.core.test_workflow_module.TestHistogramObserver)
2022-11-23T01:45:09.4881256Z Ensures that the HistogramObserver is able to work correctly in ... ok (0.002s)
2022-11-23T01:45:09.4881624Z   test_histogram_observer_one_sided (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.330s)
2022-11-23T01:45:09.4882029Z   test_histogram_observer_same_inputs (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.628s)
2022-11-23T01:45:09.4882438Z   test_observer_scriptable (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.476s)
2022-11-23T01:45:09.4882856Z   test_fake_quant_true_quant_compare (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.194s)
2022-11-23T01:45:09.4883290Z   test_float_quant_compare_per_channel (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.031s)
2022-11-23T01:45:09.4883705Z   test_float_quant_compare_per_tensor (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.134s)
2022-11-23T01:45:09.4884147Z   test_weight_only_activation_only_fakequant (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.222s)
2022-11-23T01:45:09.4884587Z   test_compare_model_outputs_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.241s)
2022-11-23T01:45:09.4885026Z   test_compare_model_outputs_functional_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.195s)
2022-11-23T01:45:09.4885455Z   test_compare_model_outputs_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.025s)
2022-11-23T01:45:09.4885892Z   test_compare_model_outputs_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.663s)
2022-11-23T01:45:09.4886331Z   test_compare_model_outputs_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.045s)
2022-11-23T01:45:09.4886762Z   test_compare_model_stub_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.255s)
2022-11-23T01:45:09.4887216Z   test_compare_model_stub_functional_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.193s)
2022-11-23T01:45:09.4887657Z   test_compare_model_stub_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.021s)
2022-11-23T01:45:09.4888086Z   test_compare_model_stub_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.657s)
2022-11-23T01:45:09.4888512Z   test_compare_model_stub_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.044s)
2022-11-23T01:45:09.4888921Z   test_compare_model_stub_partial (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.621s)
2022-11-23T01:45:09.4889383Z   test_compare_model_stub_submodule_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.033s)
2022-11-23T01:45:09.4889814Z   test_compare_weights_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.139s)
2022-11-23T01:45:09.4890237Z   test_compare_weights_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.006s)
2022-11-23T01:45:09.4890651Z   test_compare_weights_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.637s)
2022-11-23T01:45:09.4891079Z   test_compare_weights_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.009s)
2022-11-23T01:45:09.4892250Z   test_mobilenet_v2 (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V2_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V2_Weights.DEFAULT` to get the most up-to-date weights.
2022-11-23T01:45:09.4892914Z   warnings.warn(msg)
2022-11-23T01:45:09.4893385Z Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth
2022-11-23T01:45:09.4893630Z 
2022-11-23T01:45:09.4893715Z   0%|          | 0.00/13.6M [00:00<?, ?B/s]
2022-11-23T01:45:09.4893917Z 100%|##########| 13.6M/13.6M [00:00<00:00, 357MB/s]
2022-11-23T01:45:09.4894099Z ok (0.736s)
2022-11-23T01:45:09.4895087Z   test_mobilenet_v3 (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V3_Large_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V3_Large_Weights.DEFAULT` to get the most up-to-date weights.
2022-11-23T01:45:09.4895734Z   warnings.warn(msg)
2022-11-23T01:45:09.4896219Z Downloading: "https://download.pytorch.org/models/mobilenet_v3_large-8738ca79.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mobilenet_v3_large-8738ca79.pth
2022-11-23T01:45:09.4896632Z 
2022-11-23T01:45:09.4896717Z   0%|          | 0.00/21.1M [00:00<?, ?B/s]
2022-11-23T01:45:09.4896918Z 100%|##########| 21.1M/21.1M [00:00<00:00, 346MB/s]
2022-11-23T01:45:09.4897087Z ok (1.003s)
2022-11-23T01:45:09.4897373Z   test_output_logger (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.002s)
2022-11-23T01:45:09.4897773Z   test_shadow_logger (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.001s)
2022-11-23T01:45:09.4898162Z   test_histogram_observer_consistent_buffer_shape (quantization.core.test_workflow_module.TestObserver)
2022-11-23T01:45:09.4898519Z Ensures that the buffer shapes do not change from uninitialized to ... ok (0.003s)
2022-11-23T01:45:09.4898916Z   test_histogram_observer_save_load_state_dict (quantization.core.test_workflow_module.TestObserver)
2022-11-23T01:45:09.4899232Z Smoke test on saving/loading state_dict ... ok (0.001s)
2022-11-23T01:45:09.4899542Z   test_memoryless_minmaxobserver (quantization.core.test_workflow_module.TestObserver) ... ok (0.020s)
2022-11-23T01:45:09.4899943Z   test_memoryless_perchannelminmaxobserver (quantization.core.test_workflow_module.TestObserver) ... ok (0.021s)
2022-11-23T01:45:09.4900349Z   test_observer_qparams_respects_device_affinity (quantization.core.test_workflow_module.TestObserver)
2022-11-23T01:45:09.4900795Z Ensure that the scale and zero_point returned by the observer ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:45:09.4901205Z   test_observer_scriptable (quantization.core.test_workflow_module.TestObserver) ... ok (0.071s)
2022-11-23T01:45:09.4901573Z   test_per_channel_observers (quantization.core.test_workflow_module.TestObserver) ... ok (0.310s)
2022-11-23T01:45:09.4901940Z   test_per_tensor_observers (quantization.core.test_workflow_module.TestObserver) ... ok (0.073s)
2022-11-23T01:45:09.4902286Z   test_save_load_state_dict_script (quantization.core.test_workflow_module.TestObserver)
2022-11-23T01:45:09.4902628Z Tests that we can save and load state_dict for observers that are scripted ... ok (0.186s)
2022-11-23T01:45:09.4903130Z   test_state_dict_respects_device_affinity (quantization.core.test_workflow_module.TestObserver) ... skip: multi-GPU not supported (0.000s)
2022-11-23T01:45:09.4903529Z   test_zero_numel (quantization.core.test_workflow_module.TestObserver) ... ok (0.002s)
2022-11-23T01:45:09.4904092Z   test_constant_padNd (quantization.core.test_quantized_op.TestPadding) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:746: UserWarning: non-inplace resize is deprecated
2022-11-23T01:45:09.4904539Z   warnings.warn("non-inplace resize is deprecated")
2022-11-23T01:45:09.4904749Z ok (6.972s)
2022-11-23T01:45:09.4904995Z   test_reflection_pad1d (quantization.core.test_quantized_op.TestPadding) ... ok (0.198s)
2022-11-23T01:45:09.4905350Z   test_reflection_pad2d (quantization.core.test_quantized_op.TestPadding) ... ok (20.407s)
2022-11-23T01:45:09.4905706Z   test_adaptive_avg_pool2d (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.206s)
2022-11-23T01:45:09.4906060Z   test_avg_pool2d (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.725s)
2022-11-23T01:45:09.4906390Z   test_hardtanh (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.063s)
2022-11-23T01:45:09.4906724Z   test_mean (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.496s)
2022-11-23T01:45:09.4907058Z   test_qnnpack_add (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.363s)
2022-11-23T01:45:09.4907803Z   test_qnnpack_add_broadcast (quantization.core.test_quantized_op.TestQNNPackOps) ... [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [1, 1, 1, 1], which does not match the required output shape [1, 3, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:45:09.4908805Z [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [1, 1, 1, 1, 1], which does not match the required output shape [1, 3, 4, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:45:09.4909785Z [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [1, 1, 1, 1], which does not match the required output shape [1, 3, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:45:09.4910694Z [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [1, 1, 1, 1, 1], which does not match the required output shape [1, 3, 4, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:45:09.4911191Z ok (0.004s)
2022-11-23T01:45:09.4911460Z   test_qnnpack_maxpool2d (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.923s)
2022-11-23T01:45:09.4911846Z   test_qnnpack_mul (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.154s)
2022-11-23T01:45:09.4912194Z   test_qnnpack_relu (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.117s)
2022-11-23T01:45:09.4912533Z   test_qnnpack_sigmoid (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.003s)
2022-11-23T01:45:09.4912895Z   test_qnnpack_sigmoid_sweep (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.002s)
2022-11-23T01:45:09.4913249Z   test_qnnpack_tanh (quantization.core.test_quantized_op.TestQNNPackOps) ... ok (0.003s)
2022-11-23T01:45:09.4914066Z   test_quantization_doc_custom (quantization.core.test_docs.TestQuantizationDocs) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py:541: UserWarning: Passing a convert_custom_config_dict to convert is deprecated and will not be supported in a future version. Please pass in a ConvertCustomConfig instead.
2022-11-23T01:45:09.4914642Z   warnings.warn(
2022-11-23T01:45:09.4914813Z ok (0.024s)
2022-11-23T01:45:09.4915082Z   test_quantization_doc_fx (quantization.core.test_docs.TestQuantizationDocs) ... ok (0.052s)
2022-11-23T01:45:09.4915439Z   test_quantization_doc_ptdq (quantization.core.test_docs.TestQuantizationDocs) ... ok (0.002s)
2022-11-23T01:45:09.4915814Z   test_quantization_doc_ptsq (quantization.core.test_docs.TestQuantizationDocs) ... ok (0.084s)
2022-11-23T01:45:09.4916189Z   test_quantization_doc_qat (quantization.core.test_docs.TestQuantizationDocs) ... ok (0.013s)
2022-11-23T01:45:09.4917560Z   test_embedding_bag (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:806: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T01:45:09.4918382Z   if param.grad is not None:
2022-11-23T01:45:09.4918551Z ok (0.069s)
2022-11-23T01:45:09.4918856Z   test_embedding_bag_padding_idx_error (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps) ... ok (0.073s)
2022-11-23T01:45:09.4919255Z   test_linear (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps) ... ok (1.292s)
2022-11-23T01:45:09.4919655Z   test_convert_dynamic_fp16 (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.015s)
2022-11-23T01:45:09.4920408Z   test_dynamic_multi_op (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... [W insert_quant_dequant.cpp:1377] Warning: debug option for add_scalar and mul_scalar is not supported, please don't use debug option for models that uses these ops. (function operator())
2022-11-23T01:45:09.4920848Z ok (0.465s)
2022-11-23T01:45:09.4921145Z   test_dynamic_quant_multi_uses (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.516s)
2022-11-23T01:45:09.4921566Z   test_dynamic_shared_weights (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.806s)
2022-11-23T01:45:09.4922012Z   test_dynamic_weight_observer (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.132s)
2022-11-23T01:45:09.4922425Z   test_dynamic_with_if (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (1.446s)
2022-11-23T01:45:09.4922853Z   test_insert_quant_dequant_linear_dynamic (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.136s)
2022-11-23T01:45:09.4923265Z   test_prepare_dynamic (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.032s)
2022-11-23T01:45:09.4923687Z   test_prepare_dynamic_child_qconfig (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.051s)
2022-11-23T01:45:09.4924142Z   test_quantize_dynamic_fp16 (quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses) ... ok (0.023s)
2022-11-23T01:45:09.4924543Z   test_conv_1d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.047s)
2022-11-23T01:45:09.4924907Z   test_conv_2d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.047s)
2022-11-23T01:45:09.4925278Z   test_conv_3d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.050s)
2022-11-23T01:45:09.4925662Z   test_conv_transpose_1d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.044s)
2022-11-23T01:45:09.4926054Z   test_conv_transpose_2d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.040s)
2022-11-23T01:45:09.4926429Z   test_conv_transpose_3d (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.047s)
2022-11-23T01:45:09.4926829Z   test_functional_module (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.506s)
2022-11-23T01:45:09.4927225Z   test_int16_reference_module (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.021s)
2022-11-23T01:45:09.4927613Z   test_leaky_relu (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.004s)
2022-11-23T01:45:09.4927973Z   test_linear (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.029s)
2022-11-23T01:45:09.4928342Z   test_relu (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps) ... ok (0.004s)
2022-11-23T01:45:09.4928742Z   test_embedding_ops_dynamic (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic) ... ok (0.004s)
2022-11-23T01:45:09.4929159Z   test_forward_hooks_preserved (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4929580Z Test post-training dynamic quantization on preserving ... ok (0.004s)
2022-11-23T01:45:09.4929953Z   test_linear_relu_fusion (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic) ... ok (0.085s)
2022-11-23T01:45:09.4930355Z   test_nested1 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4930737Z Test quantization for nested model, top level 'fc3' and ... ok (0.681s)
2022-11-23T01:45:09.4931073Z   test_nested2 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4931424Z Another test case for quantized, we will quantize all submodules ... ok (0.803s)
2022-11-23T01:45:09.4931752Z   test_nested3 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4932097Z More complicated nested test case with child qconfig overrides ... ok (0.768s)
2022-11-23T01:45:09.4932465Z   test_per_channel_linear_quantize (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4932820Z Test quantization for per_channel dynamic quantization ... ok (0.446s)
2022-11-23T01:45:09.4933156Z   test_quantized_rnn (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4933555Z Test dynamic quantization, scriptability and serialization for dynamic quantized lstm modules on int8 and fp16 ... ok (1.243s)
2022-11-23T01:45:09.4933988Z   test_quantized_rnn_cell (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4934405Z Test dynamic quantization, scriptability and serialization for dynamic quantized rnn cell modules on int8 and fp16 ... ok (0.619s)
2022-11-23T01:45:09.4934793Z   test_single_layer (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4935175Z Dynamic Quantize SingleLayerLinearDynamicModel which has one Linear module, ... ok (0.313s)
2022-11-23T01:45:09.4935549Z   test_two_layers (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4935902Z TwoLayerLinearModel has two Linear modules but we only quantize the second one ... ok (0.321s)
2022-11-23T01:45:09.4936326Z   test_type_match_rule (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic)
2022-11-23T01:45:09.4936856Z Test quantization for nested model, top level 'fc3' and ... ok (0.555s)
2022-11-23T01:45:09.4937198Z   test_activations (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4937498Z Test quantization of activations ... ok (0.654s)
2022-11-23T01:45:09.4937843Z   test_activations_in_non_leaf_module_list (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4938220Z Ensure activations like `nn.Sigmoid` and `nn.Tanh` are properly handled in ... ok (0.003s)
2022-11-23T01:45:09.4938597Z   test_convtranspose_per_channel_fails_early (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4939065Z Verifies that attempting to quantize a ConvTranspose module with per-Channel ... ok (0.002s)
2022-11-23T01:45:09.4939466Z   test_convtranspose_per_channel_qconfig_none (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4939847Z Verifies that having qconfig==None for conv transpose does not crash ... ok (0.001s)
2022-11-23T01:45:09.4940207Z   test_custom_module_class (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.015s)
2022-11-23T01:45:09.4940626Z   test_dequant_stub (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.006s)
2022-11-23T01:45:09.4941048Z   test_forward_hooks_preserved (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.637s)
2022-11-23T01:45:09.4941450Z   test_manual (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4941771Z User inserts QuantStub and DeQuantStub in model code ... ok (0.369s)
2022-11-23T01:45:09.4942103Z   test_nested1 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4942493Z Test quantization for nested model, top level 'fc3' and ... ok (1.863s)
2022-11-23T01:45:09.4942831Z   test_nested2 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.265s)
2022-11-23T01:45:09.4943215Z   test_nested3 (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4943558Z More complicated nested test case with child qconfig overrides ... ok (2.687s)
2022-11-23T01:45:09.4943912Z   test_normalization (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4944692Z Test quantization of normalization layers ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize.py:314: UserWarning: None of the submodule got qconfig applied. Make sure you passed correct configuration through `qconfig_dict` or by assigning the `.qconfig` attribute directly on submodules
2022-11-23T01:45:09.4945222Z   warnings.warn("None of the submodule got qconfig applied. Make sure you "
2022-11-23T01:45:09.4945454Z ok (0.421s)
2022-11-23T01:45:09.4945746Z   test_quantized_embedding (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4946169Z Test the post-training quantization flow, serialization and scripting ... ok (0.085s)
2022-11-23T01:45:09.4946549Z   test_quantized_embedding_bag (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4947045Z Test the post-training quantization flow, serialization and scripting ... ok (0.083s)
2022-11-23T01:45:09.4947459Z   test_quantwrapper_attaches_qconfig_to_dequant (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic) ... ok (0.005s)
2022-11-23T01:45:09.4947873Z   test_resnet_base (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4948220Z Test quantization for bottleneck topology used in resnet/resnext ... ok (0.332s)
2022-11-23T01:45:09.4948578Z   test_save_load_state_dict (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4948985Z Test PTQ flow of creating a model and quantizing it and saving the quantized state_dict ... ok (1.210s)
2022-11-23T01:45:09.4949358Z   test_single_layer (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4949738Z Quantize SingleLayerLinearModel which has one Linear module, make sure it is swapped ... ok (3.426s)
2022-11-23T01:45:09.4950116Z   test_skip_quant (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4950434Z The case when we want to skip quantizing some layers ... ok (3.453s)
2022-11-23T01:45:09.4950766Z   test_two_layers (quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic)
2022-11-23T01:45:09.4951128Z TwoLayerLinearModel has two Linear modules but we only quantize the second one ... ok (0.384s)
2022-11-23T01:45:09.4951504Z   test_add_scalar_uses_input_qparams (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.005s)
2022-11-23T01:45:09.4951903Z   test_conv_linear (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (2.186s)
2022-11-23T01:45:09.4952276Z   test_conv_linear_symm (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT)
2022-11-23T01:45:09.4952605Z Same as test_conv_linear but with Symmetric quantization. ... ok (0.707s)
2022-11-23T01:45:09.4952956Z   test_defused_embedding_bag_linear (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.526s)
2022-11-23T01:45:09.4953350Z   test_dropout (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.599s)
2022-11-23T01:45:09.4953733Z   test_dynamic_qat_linear (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.576s)
2022-11-23T01:45:09.4954130Z   test_embedding_bag_linear (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.563s)
2022-11-23T01:45:09.4954589Z   test_embedding_qat_qconfig_equal (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.007s)
2022-11-23T01:45:09.4954982Z   test_eval_only_fake_quant (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT)
2022-11-23T01:45:09.4955292Z Using FakeQuant in evaluation only mode, ... ok (0.033s)
2022-11-23T01:45:09.4955617Z   test_forward_hooks_preserved (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.026s)
2022-11-23T01:45:09.4956007Z   test_manual (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (1.243s)
2022-11-23T01:45:09.4956398Z   test_mul_scalar_uses_input_qparams (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.005s)
2022-11-23T01:45:09.4956804Z   test_qat_embedding_bag_errors (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT) ... ok (0.004s)
2022-11-23T01:45:09.4957182Z   test_train_save_load_eval (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT)
2022-11-23T01:45:09.4957539Z Test QAT flow of creating a model, doing QAT and saving the quantized state_dict ... ok (0.271s)
2022-11-23T01:45:09.4957936Z   test_conv_bn_folded_vs_unfolded (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.956s)
2022-11-23T01:45:09.4958366Z   test_conv_bn_relu (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.354s)
2022-11-23T01:45:09.4958807Z   test_fixed_qparam_ops (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.013s)
2022-11-23T01:45:09.4959227Z   test_leaky_relu (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.006s)
2022-11-23T01:45:09.4959649Z   test_linear_bn_numerics (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.008s)
2022-11-23T01:45:09.4960076Z   test_linear_bn_symm_numerics (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.003s)
2022-11-23T01:45:09.4960490Z   test_linear_bn_workflow (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.039s)
2022-11-23T01:45:09.4960895Z   test_relu (quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics) ... ok (0.002s)
2022-11-23T01:45:09.4961316Z   test__convert_to_reference_decomposed_fx (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2022-11-23T01:45:09.4961708Z   test__convert_to_reference_decomposed_fx_dynamic_quant (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2022-11-23T01:45:09.4962083Z   test_assert_on_size_after_quant_layer (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4962408Z Verifies that calculating a size of a quantized tensor works ... ok (0.023s)
2022-11-23T01:45:09.4962722Z   test_attention (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.140s)
2022-11-23T01:45:09.4963063Z   test_backend_config_check_for_weight_and_bias (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4963396Z Test to make sure the backend_config check for weight and bias ... ok (0.010s)
2022-11-23T01:45:09.4963726Z   test_backend_config_quantization_range (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4964421Z Check that quantization ranges specified through the BackendConfig are reflected in ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:994: UserWarning: QConfig activation quantization range must fall within the backend's:
2022-11-23T01:45:09.4965828Z QConfig range = (0, 63), BackendConfig range = (0, 31), ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=63, dtype=torch.quint8){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b477c70>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b477c70>})
2022-11-23T01:45:09.4966724Z   warnings.warn(("QConfig %s quantization range must fall within the backend's:\n"
2022-11-23T01:45:09.4967244Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:994: UserWarning: QConfig activation quantization range must fall within the backend's:
2022-11-23T01:45:09.4968575Z QConfig range = (0, 255), BackendConfig range = (0, 31), ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.quint8){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525d15ab90>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=-128, quant_max=127, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525d15ab90>})
2022-11-23T01:45:09.4969479Z   warnings.warn(("QConfig %s quantization range must fall within the backend's:\n"
2022-11-23T01:45:09.4970310Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:990: UserWarning: QConfig activation must specify 'quant_min' and 'quant_max', ignoring QConfig(activation=<class 'torch.ao.quantization.observer.ReuseInputObserver'>, weight=<class 'torch.ao.quantization.observer.ReuseInputObserver'>)
2022-11-23T01:45:09.4971024Z   warnings.warn("QConfig %s must specify 'quant_min' and 'quant_max', ignoring %s" %
2022-11-23T01:45:09.4971255Z ok (0.037s)
2022-11-23T01:45:09.4971507Z   test_backend_config_scale_min (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4973109Z Test QConfig eps validation against the BackendConfig's min scale value. ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1005: UserWarning: QConfig activation eps (tensor([6.1035e-05])) must be greater than or equal to the backend's min scale value (0.000244140625), ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.quint8, eps=6.103515625e-05){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525d159e10>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525d159e10>})
2022-11-23T01:45:09.4974168Z   warnings.warn(("QConfig %s eps (%s) must be greater than or equal to "
2022-11-23T01:45:09.4975627Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1005: UserWarning: QConfig activation eps (tensor([1.1921e-07])) must be greater than or equal to the backend's min scale value (0.000244140625), ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.quint8){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525d15b9a0>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric, eps=6.103515625e-05){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525d15b9a0>})
2022-11-23T01:45:09.4976714Z   warnings.warn(("QConfig %s eps (%s) must be greater than or equal to "
2022-11-23T01:45:09.4977647Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1002: UserWarning: QConfig activation must specify 'eps', ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.FixedQParamsObserver'>, scale=1.0, zero_point=0){}, weight=functools.partial(<class 'torch.ao.quantization.observer.FixedQParamsObserver'>, scale=1.0, zero_point=0){})
2022-11-23T01:45:09.4978406Z   warnings.warn("QConfig %s must specify 'eps', ignoring %s" % (debug_string, qconfig))
2022-11-23T01:45:09.4978636Z ok (0.050s)
2022-11-23T01:45:09.4978912Z   test_change_backend_config_for_fixed_qparam_ops (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4979268Z Making sure we can skip validation of qconfigs for fixedqparam ops based ... ok (0.007s)
2022-11-23T01:45:09.4979598Z   test_channel_shuffle_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.080s)
2022-11-23T01:45:09.4979934Z   test_conv_bn_relu (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4980315Z Tests fusion and quantization for "Conv - Bn" and "Conv - Bn - ReLU" ... ok (1.312s)
2022-11-23T01:45:09.4980642Z   test_conv_linear_not_reference (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4980913Z Test quantizing conv and linear ... ok (2.065s)
2022-11-23T01:45:09.4981197Z   test_conv_linear_reference (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4981517Z Test quantizing functional conv and linear with reference option ... ok (2.026s)
2022-11-23T01:45:09.4981828Z   test_conv_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.076s)
2022-11-23T01:45:09.4982189Z   test_convert_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2022-11-23T01:45:09.4982588Z   test_convert_custom_config_set_observed_to_quantized_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2022-11-23T01:45:09.4983045Z   test_convert_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.4983420Z   test_convert_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.4984223Z   test_convert_qconfig_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/convert.py:877: UserWarning: Passing a QConfig dictionary to convert is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead.
2022-11-23T01:45:09.4984822Z   warnings.warn(
2022-11-23T01:45:09.4985484Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_1_packed_weight_0 target mods1_1_packed_weight_0 mods1_1_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4986028Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4986704Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_0_packed_weight_0 target mods1_0_packed_weight_0 mods1_0_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4987252Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4987492Z ok (0.109s)
2022-11-23T01:45:09.4987763Z   test_convtranspose_per_channel_fails_early (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4988182Z Verifies that attempting to quantize a ConvTranspose module with per-Channel ... ok (0.015s)
2022-11-23T01:45:09.4988539Z   test_copy_node_has_shared_actpp_instance (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4988848Z Test the output of CopyNode to have the same ... ok (0.044s)
2022-11-23T01:45:09.4989141Z   test_custom_module_class (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.087s)
2022-11-23T01:45:09.4989499Z   test_custom_module_class_input_has_multiple_users (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4989838Z Tests that the flow still works when the input of custom module ... ok (0.027s)
2022-11-23T01:45:09.4990182Z   test_deepcopy_preserve_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.017s)
2022-11-23T01:45:09.4990532Z   test_default_quant_after_none_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4990837Z Make sure default quant is inserted properly ... ok (0.019s)
2022-11-23T01:45:09.4991124Z   test_dequantize (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4991406Z Test to make sure dequantize node are placed before ... ok (0.231s)
2022-11-23T01:45:09.4991702Z   test_dict_output (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4992013Z Make sure quantization runs for models with dictionary output ... ok (0.022s)
2022-11-23T01:45:09.4992349Z   test_dynamic_linear_input_multiple_use (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4992661Z Tests input for dynamic linear being used by multiple ops ... ok (0.041s)
2022-11-23T01:45:09.4992987Z   test_dynamic_quant_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.057s)
2022-11-23T01:45:09.4993339Z   test_dynamic_quant_weight_observer (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4993638Z Test that weight observer is run in convert step ... ok (0.017s)
2022-11-23T01:45:09.4993941Z   test_dynamic_with_fusion (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4994801Z Tests that dynamic quantization APIs work with Linear + Relu fusion ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods2_packed_weight_0 target mods2_packed_weight_0 mods2_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.4995543Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.4995782Z ok (0.051s)
2022-11-23T01:45:09.4996049Z   test_dynamic_with_fusion_multiple_uses (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4996388Z Tests that dynamic quantization APIs work with Linear + Relu fusion ... ok (0.039s)
2022-11-23T01:45:09.4996708Z   test_fold_quant_dequant (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4997064Z Test that the sequence of quant-dequant nodes in the ... ok (0.024s)
2022-11-23T01:45:09.4997392Z   test_fp32_input_fp32_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2022-11-23T01:45:09.4997793Z   test_fp32_input_quantized_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.160s)
2022-11-23T01:45:09.4998111Z   test_fp32_sum (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.4998476Z Verifies that fp32 sum works correctly if it's before or after ... ok (0.054s)
2022-11-23T01:45:09.4998815Z   test_fuse_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.4999201Z   test_fuse_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.4999573Z   test_fuse_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.4999932Z   test_fused_module_qat_swap (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2022-11-23T01:45:09.5000284Z   test_fusion_pattern_unquantized (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5000603Z Ensure that leaving a possible fusion pattern of multiple nodes ... ok (0.021s)
2022-11-23T01:45:09.5000944Z   test_get_default_qconfig_valid_backend (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5001296Z Checks that AssertionError is raised when non expected backend input is specified ... ok (0.001s)
2022-11-23T01:45:09.5001663Z   test_get_executorch_backend_config (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5002006Z   test_getattr_with_nontensor_result (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5002321Z Verifies that binary ops get quantized correctly if some ... ok (0.052s)
2022-11-23T01:45:09.5002627Z   test_linear_bn (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.940s)
2022-11-23T01:45:09.5002940Z   test_linear_qint8_activation (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5003249Z Test support for qint8 activation in reference pattern ... ok (0.019s)
2022-11-23T01:45:09.5003592Z   test_masked_fill_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2022-11-23T01:45:09.5003955Z   test_mul_add_fp16_config (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s)
2022-11-23T01:45:09.5004301Z   test_no_obs_between_unmatched_node_and_copy_node (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5004641Z Verifies that an observer is not inserted between an unmatched ... ok (0.020s)
2022-11-23T01:45:09.5004969Z   test_non_traceable_module (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.013s)
2022-11-23T01:45:09.5005289Z   test_not_used (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5005541Z Test quantizing a not used value ... ok (0.016s)
2022-11-23T01:45:09.5005815Z   test_observer_fqn (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5006149Z Test to make sure the observer FQN is based on the quantizable op/module that it is observing ... ok (0.024s)
2022-11-23T01:45:09.5006480Z   test_output_lists_and_dicts (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5006803Z Verify that specifying complicated output types does not crash. ... ok (0.018s)
2022-11-23T01:45:09.5007140Z   test_packed_weight_fused_op (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.032s)
2022-11-23T01:45:09.5007504Z   test_pattern_match (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5007755Z test MatchAllNode with ... ok (0.007s)
2022-11-23T01:45:09.5008059Z   test_permute_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2022-11-23T01:45:09.5008435Z   test_prepare_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s)
2022-11-23T01:45:09.5008816Z   test_prepare_custom_config_set_float_to_observed_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5009226Z   test_prepare_custom_config_set_input_quantized_indexes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5009671Z   test_prepare_custom_config_set_non_traceable_module_classes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5010087Z   test_prepare_custom_config_set_non_traceable_module_names (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5010485Z   test_prepare_custom_config_set_output_quantized_indexes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5010889Z   test_prepare_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5011083Z   test_prepare_custom_config_set_standalone_module_class (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5011275Z   test_prepare_custom_config_set_standalone_module_name (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5011451Z   test_prepare_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2022-11-23T01:45:09.5011607Z   test_prepare_mode (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.069s)
2022-11-23T01:45:09.5011767Z   test_prepared_model_deepcopy (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5011907Z Ensures that copy.deepcopy works correctly on a prepared model. ... ok (0.021s)
2022-11-23T01:45:09.5012072Z   test_preserve_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s)
2022-11-23T01:45:09.5012220Z   test_preserve_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5012380Z Test to make sure the temporary config option to preserve qconfig attributes ... ok (0.024s)
2022-11-23T01:45:09.5012523Z   test_preserve_tuple (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5012633Z Test tuple input type is preserved ... ok (0.014s)
2022-11-23T01:45:09.5012822Z   test_propagate_dtypes_for_known_nodes_dict_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2022-11-23T01:45:09.5013024Z   test_propagate_dtypes_for_known_nodes_dict_split_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2022-11-23T01:45:09.5013209Z   test_propagate_dtypes_for_known_nodes_dict_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2022-11-23T01:45:09.5013394Z   test_propagate_dtypes_for_known_nodes_list_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2022-11-23T01:45:09.5013586Z   test_propagate_dtypes_for_known_nodes_split_list_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2022-11-23T01:45:09.5013784Z   test_propagate_dtypes_for_known_nodes_split_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s)
2022-11-23T01:45:09.5013975Z   test_propagate_dtypes_for_known_nodes_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2022-11-23T01:45:09.5014133Z   test_qat_and_script (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.350s)
2022-11-23T01:45:09.5014443Z   test_qat_prepare_device_affinity (quantization.fx.test_quantize_fx.TestQuantizeFx) ... skip: multi-GPU not supported (0.000s)
2022-11-23T01:45:09.5014604Z   test_qat_skip_untraced (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s)
2022-11-23T01:45:09.5014795Z   test_qconfig_dict_setup (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.154s)
2022-11-23T01:45:09.5014971Z   test_qconfig_dict_with_fused_modules (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.120s)
2022-11-23T01:45:09.5015122Z   test_qconfig_for_call_func (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.031s)
2022-11-23T01:45:09.5015288Z   test_qconfig_for_call_method (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.061s)
2022-11-23T01:45:09.5015446Z   test_qconfig_function (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s)
2022-11-23T01:45:09.5015616Z   test_qconfig_mapping_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s)
2022-11-23T01:45:09.5015840Z   test_qconfig_mapping_set_global (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s)
2022-11-23T01:45:09.5016016Z   test_qconfig_mapping_set_module_name (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2022-11-23T01:45:09.5016216Z   test_qconfig_mapping_set_module_name_object_type_order (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s)
2022-11-23T01:45:09.5016398Z   test_qconfig_mapping_set_module_name_regex (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2022-11-23T01:45:09.5016690Z   test_qconfig_mapping_set_object_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2022-11-23T01:45:09.5016848Z   test_qconfig_mapping_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s)
2022-11-23T01:45:09.5017031Z   test_qconfig_module_name_object_type_order (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.077s)
2022-11-23T01:45:09.5017203Z   test_qconfig_module_name_regex (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2022-11-23T01:45:09.5017365Z   test_qconfig_module_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2022-11-23T01:45:09.5017521Z   test_qconfig_none (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s)
2022-11-23T01:45:09.5017688Z   test_qconfig_precedence (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.019s)
2022-11-23T01:45:09.5017857Z   test_qconfig_qat_module_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.030s)
2022-11-23T01:45:09.5018016Z   test_qnnpack_backend_config (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5018183Z Test whether default QNNPACK QConfigs are compatible with the QNNPACK BackendConfig. ... ok (1.072s)
2022-11-23T01:45:09.5018342Z   test_qparams_buffers (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.052s)
2022-11-23T01:45:09.5018487Z   test_qparams_fqn (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5018614Z Test that the FQN of input_scale/zero_point is set ... ok (0.033s)
2022-11-23T01:45:09.5018774Z   test_quant_output_always_observed (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5018908Z If the output is hardcoded to be quantized, ensure that ... ok (0.104s)
2022-11-23T01:45:09.5019084Z   test_quantized_input_fp32_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2022-11-23T01:45:09.5019264Z   test_quantized_input_quantized_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s)
2022-11-23T01:45:09.5019404Z   test_quantized_model_type (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5019555Z Test state_dict and deepcopy works properly in the quantized model ... ok (0.041s)
2022-11-23T01:45:09.5019698Z   test_ref_conv_module (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5019828Z Make sure the numerics for models with ref conv module ... ok (0.280s)
2022-11-23T01:45:09.5019977Z   test_ref_linear_module (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5020106Z Make sure the numerics for models with ref linear module ... ok (0.051s)
2022-11-23T01:45:09.5020267Z   test_register_patterns (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s)
2022-11-23T01:45:09.5020476Z   test_relu_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s)
2022-11-23T01:45:09.5020636Z   test_remove_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.018s)
2022-11-23T01:45:09.5020806Z   test_repeat_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2022-11-23T01:45:09.5020968Z   test_reroute_tuple_getitem_patterns (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5021131Z The following graph should redirect the output to `b`. After the transformation, ... ok (0.003s)
2022-11-23T01:45:09.5021314Z   test_reshape_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s)
2022-11-23T01:45:09.5021506Z   test_return_none (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.014s)
2022-11-23T01:45:09.5021670Z   test_reuse_input_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.175s)
2022-11-23T01:45:09.5021840Z   test_save_observer_state_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.514s)
2022-11-23T01:45:09.5021994Z   test_sequential (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.328s)
2022-11-23T01:45:09.5022146Z   test_shape_followed_by_quantized_op (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5022265Z Make sure that shape does not dequantize ... ok (0.031s)
2022-11-23T01:45:09.5022443Z   test_size_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s)
2022-11-23T01:45:09.5022618Z   test_stack_trace_preserved_linear (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2022-11-23T01:45:09.5022805Z   test_standalone_module_float_interface (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.122s)
2022-11-23T01:45:09.5022994Z   test_standalone_module_quantized_interface (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.113s)
2022-11-23T01:45:09.5023134Z   test_state_dict (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5023260Z Make sure packed params appear in state_dict ... ok (0.085s)
2022-11-23T01:45:09.5023390Z   test_static_lstm (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5023557Z Test statically quantized custom module LSTM followed by ops that consume individual ... ok (0.305s)
2022-11-23T01:45:09.5023713Z   test_static_lstm_consume_tuple (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5023878Z Test statically quantized custom module LSTM followed by a module that consumes the ... ok (0.245s)
2022-11-23T01:45:09.5024048Z   test_static_lstm_with_custom_fixed_qparams (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5024211Z Test statically quantized LSTM with custom fixed qparams assigned to each of the ... ok (0.076s)
2022-11-23T01:45:09.5024362Z   test_sub_scalar (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s)
2022-11-23T01:45:09.5024531Z   test_symmetric_qnnpack_qconfig_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx)
2022-11-23T01:45:09.5024724Z Test whether `torch.ao.quantization.qconfig_mapping._get_symmetric_qnnpack_qconfig_mapping` ... ok (0.506s)
2022-11-23T01:45:09.5024903Z   test_torch_transpose_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2022-11-23T01:45:09.5025088Z   test_torch_unsqueeze_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.170s)
2022-11-23T01:45:09.5025260Z   test_trace_quantize_per_tensor (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s)
2022-11-23T01:45:09.5025445Z   test_transpose_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s)
2022-11-23T01:45:09.5025633Z   test_unsqueeze__nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2022-11-23T01:45:09.5025815Z   test_unsqueeze_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s)
2022-11-23T01:45:09.5026024Z   test_view_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s)
2022-11-23T01:45:09.5026194Z   test_model_dropout (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (1.679s)
2022-11-23T01:45:09.5026420Z   test_prepare_serialize_switch_device_convert (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s)
2022-11-23T01:45:09.5026584Z   test_qat_embedding_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.620s)
2022-11-23T01:45:09.5026764Z   test_qat_embeddingbag_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.667s)
2022-11-23T01:45:09.5026972Z   test_qat_functional_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.282s)
2022-11-23T01:45:09.5027381Z   test_resnet18_ddp (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: TODO: Test is always failing - https://github.com/pytorch/pytorch/issues/54979 (0.001s)
2022-11-23T01:45:09.5027547Z   test_resnet_base (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (1.754s)
2022-11-23T01:45:09.5027755Z   test_static_gpu_convert_basic (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.002s)
2022-11-23T01:45:09.5027971Z   test_switch_device_prepare_convert (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.002s)
2022-11-23T01:45:09.5028171Z   test_torchvision (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: skip for now since tbb failed (0.003s)
2022-11-23T01:45:09.5028323Z   test_add (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (7.291s)
2022-11-23T01:45:09.5028483Z   test_add_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (6.146s)
2022-11-23T01:45:09.5028655Z   test_add_relu_multiple_uses_of_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.039s)
2022-11-23T01:45:09.5028818Z   test_ave_pool_with_custom_cfg (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5028954Z A test that checks correct patterns are produced for ... ok (0.016s)
2022-11-23T01:45:09.5029180Z   test_bmm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2022-11-23T01:45:09.5029336Z   test_bmm_int_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5029535Z int8 is not supported for bmm so we won't produce reference ... ok (0.014s)
2022-11-23T01:45:09.5029684Z   test_boolean_tensor (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5029873Z Make sure we don't insert observer for boolean Tensors ... ok (0.015s)
2022-11-23T01:45:09.5030001Z   test_cat (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5030129Z quantization of the output of cat will depend on the ... ok (0.445s)
2022-11-23T01:45:09.5030282Z   test_chunk (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.021s)
2022-11-23T01:45:09.5030438Z   test_clamp (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.241s)
2022-11-23T01:45:09.5030596Z   test_conv_module (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.418s)
2022-11-23T01:45:09.5030761Z   test_conv_transpose_1d (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.493s)
2022-11-23T01:45:09.5030925Z   test_conv_transpose_2d (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.189s)
2022-11-23T01:45:09.5031081Z   test_copy_node_fp32_input (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5031213Z CopyNode works for both fp32 and int8 inputs, this is a test to make ... ok (0.018s)
2022-11-23T01:45:09.5031434Z   test_div (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.000s)
2022-11-23T01:45:09.5031585Z   test_elu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.657s)
2022-11-23T01:45:09.5031778Z   test_embedding (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.214s)
2022-11-23T01:45:09.5031944Z   test_embedding_bag (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.079s)
2022-11-23T01:45:09.5032110Z   test_fixed_qparams_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.347s)
2022-11-23T01:45:09.5032282Z   test_fixed_qparams_ops_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.036s)
2022-11-23T01:45:09.5032454Z   test_fixed_qparams_ops_qint8 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.045s)
2022-11-23T01:45:09.5032622Z   test_fixed_qparams_ops_wrong_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5034061Z Test that wrong qconfigs for fixed qparams ops results in the ops not being quantized. ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b556560>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b556560>}).
2022-11-23T01:45:09.5034289Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2022-11-23T01:45:09.5034415Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2022-11-23T01:45:09.5034601Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2022-11-23T01:45:09.5034792Z   warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize "
2022-11-23T01:45:09.5036082Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b557be0>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b557be0>}).
2022-11-23T01:45:09.5036311Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2022-11-23T01:45:09.5036435Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2022-11-23T01:45:09.5036562Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2022-11-23T01:45:09.5036747Z   warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize "
2022-11-23T01:45:09.5038010Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b554b80>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b554b80>}).
2022-11-23T01:45:09.5038278Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2022-11-23T01:45:09.5038403Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2022-11-23T01:45:09.5038528Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2022-11-23T01:45:09.5038708Z   warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize "
2022-11-23T01:45:09.5039950Z /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/utils.py:1024: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, quant_min=0, quant_max=127){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b555bd0>}, weight=functools.partial(<class 'torch.ao.quantization.observer.MinMaxObserver'>, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': <function _add_module_to_qconfig_obs_ctr.<locals>.get_factory_kwargs_based_on_module_device at 0x7f525b555bd0>}).
2022-11-23T01:45:09.5040201Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example:
2022-11-23T01:45:09.5040323Z     qconfig_mapping = get_default_qconfig_mapping("fbgemm")
2022-11-23T01:45:09.5040447Z     model = prepare_fx(model, qconfig_mapping, example_inputs)
2022-11-23T01:45:09.5040612Z   warnings.warn(("QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize "
2022-11-23T01:45:09.5040679Z ok (0.027s)
2022-11-23T01:45:09.5040847Z   test_float_functional (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.089s)
2022-11-23T01:45:09.5041018Z   test_functional_conv (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (8.559s)
2022-11-23T01:45:09.5041188Z   test_functional_linear (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (11.678s)
2022-11-23T01:45:09.5041394Z   test_gelu_normal (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: TODO: reenable with backend_config api (0.000s)
2022-11-23T01:45:09.5041630Z   test_gelu_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2022-11-23T01:45:09.5041787Z   test_general_shape_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5041915Z A test that checks dequantize will be swapped for ... ok (0.214s)
2022-11-23T01:45:09.5042057Z   test_general_value_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5042189Z A test that checks correct patterns are produced for ... ok (0.066s)
2022-11-23T01:45:09.5042333Z   test_getitem (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5042488Z Make sure we only insert observer for getitem if the following node is matched ... ok (0.047s)
2022-11-23T01:45:09.5042648Z   test_hardswish (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.748s)
2022-11-23T01:45:09.5042816Z   test_instance_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.581s)
2022-11-23T01:45:09.5042981Z   test_int8_input_no_unnecessary_fq (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5043114Z If the inputs to the graph are quantized and the only node ... ok (0.015s)
2022-11-23T01:45:09.5043260Z   test_layer_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.528s)
2022-11-23T01:45:09.5043417Z   test_leaky_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.662s)
2022-11-23T01:45:09.5043585Z   test_linear_dynamic_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.395s)
2022-11-23T01:45:09.5043748Z   test_linear_module (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (3.695s)
2022-11-23T01:45:09.5043914Z   test_linear_static_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.593s)
2022-11-23T01:45:09.5044176Z   test_mish_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2022-11-23T01:45:09.5044327Z   test_mul (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.857s)
2022-11-23T01:45:09.5044484Z   test_mul_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (6.099s)
2022-11-23T01:45:09.5044643Z   test_multiple_qconfigs_for_single_value (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5044762Z Test multiple qconfigs for a single value ... ok (0.021s)
2022-11-23T01:45:09.5045400Z   test_norm_weight_bias (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_packed_weight_0 target mods1_packed_weight_0 mods1_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.5045638Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.5045704Z ok (0.359s)
2022-11-23T01:45:09.5045861Z   test_prelu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.359s)
2022-11-23T01:45:09.5046020Z   test_qbatch_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.379s)
2022-11-23T01:45:09.5046183Z   test_qbatch_norm_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.557s)
2022-11-23T01:45:09.5046336Z   test_qmatmul (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.109s)
2022-11-23T01:45:09.5046490Z   test_quantized_add_qat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.027s)
2022-11-23T01:45:09.5046645Z   test_quantized_conv_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps)
2022-11-23T01:45:09.5046765Z tests for conv1d_relu/conv2d_relu/conv3d_relu ... ok (1.944s)
2022-11-23T01:45:09.5046933Z   test_quantized_mul_qat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.026s)
2022-11-23T01:45:09.5047107Z   test_ref_pattern_multi_use (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.025s)
2022-11-23T01:45:09.5047271Z   test_reshape_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.027s)
2022-11-23T01:45:09.5047421Z   test_rnn (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.023s)
2022-11-23T01:45:09.5047579Z   test_rnn_cell (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (2.629s)
2022-11-23T01:45:09.5047815Z   test_silu_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2022-11-23T01:45:09.5048010Z   test_softmax_normal (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: TODO: reenable with backend_config api (0.000s)
2022-11-23T01:45:09.5048254Z   test_softmax_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2022-11-23T01:45:09.5048478Z   test_sub (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.000s)
2022-11-23T01:45:09.5048693Z   test_sum (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s)
2022-11-23T01:45:09.5048850Z   test_conv (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (2.289s)
2022-11-23T01:45:09.5049008Z   test_conv_bn (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (0.383s)
2022-11-23T01:45:09.5049364Z   test_conv_transpose (quantization.jit.test_quantize_jit.TestQuantizeJit) ... [W insert_observers.cpp:1580] Warning: prim::Loop is not yet supported in quantization, please make sure nothing needs to be quantized in the loop (function operator())
2022-11-23T01:45:09.5049436Z ok (0.599s)
2022-11-23T01:45:09.5049699Z   test_linear_dynamic_fp16 (quantization.jit.test_quantize_jit.TestQuantizeJit) ... [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.5049899Z [W QuantUtils.h:215] Warning: FOUND weight out of range  (function HandleWeightsSaturation)
2022-11-23T01:45:09.5049955Z ok (0.032s)
2022-11-23T01:45:09.5051081Z   test_nested (quantization.jit.test_quantize_jit.TestQuantizeJit) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:806: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T01:45:09.5051245Z   if param.grad is not None:
2022-11-23T01:45:09.5051309Z ok (1.204s)
2022-11-23T01:45:09.5051482Z   test_observer_with_ignored_function (quantization.jit.test_quantize_jit.TestQuantizeJit)
2022-11-23T01:45:09.5051629Z Test observers with ignored function and make sure it works in ... ok (1.144s)
2022-11-23T01:45:09.5052225Z   test_single_linear (quantization.jit.test_quantize_jit.TestQuantizeJit) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:214: UserWarning: Please use quant_min and quant_max to specify the range for observers.                     reduce_range will be deprecated in a future release of PyTorch.
2022-11-23T01:45:09.5052303Z   warnings.warn(
2022-11-23T01:45:09.5052371Z ok (3.967s)
2022-11-23T01:45:09.5052546Z   test_single_linear_dynamic (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (0.135s)
2022-11-23T01:45:09.5052712Z   test_skip_quant (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (5.521s)
2022-11-23T01:45:09.5052865Z   test_cat_linear (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (0.081s)
2022-11-23T01:45:09.5053027Z   test_clamp (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (4.309s)
2022-11-23T01:45:09.5053212Z   test_conv_with_benchmark_flag (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (0.312s)
2022-11-23T01:45:09.5053379Z   test_dequantize_tuple (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2022-11-23T01:45:09.5053509Z Make sure dequantize can support Tuple of tensor ... ok (1.350s)
2022-11-23T01:45:09.5053669Z   test_elu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (15.906s)
2022-11-23T01:45:09.5053833Z   test_general_shape_ops (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2022-11-23T01:45:09.5053961Z A test that checks dequantize will be swapped for ... ok (0.125s)
2022-11-23T01:45:09.5054113Z   test_general_value_ops (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2022-11-23T01:45:09.5054247Z A test that checks correct patterns are produced for ... ok (0.367s)
2022-11-23T01:45:09.5054414Z   test_group_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (12.209s)
2022-11-23T01:45:09.5054583Z   test_hardswish (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.745s)
2022-11-23T01:45:09.5054887Z   test_instance_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5055104Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5055314Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5055520Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5055759Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5055965Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5056164Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5056362Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5056726Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5056931Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5057141Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5057344Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5057543Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5057756Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5057960Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5058160Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5058365Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5058562Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5058758Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5058953Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5059153Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5059349Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5059551Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5059746Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams.                                Returning default scale and zero point  (function )
2022-11-23T01:45:09.5059815Z ok (12.433s)
2022-11-23T01:45:09.5059982Z   test_layer_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (12.408s)
2022-11-23T01:45:09.5060143Z   test_linear (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (14.620s)
2022-11-23T01:45:09.5060352Z   test_qbatch_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.725s)
2022-11-23T01:45:09.5060549Z   test_qbatch_norm_relu_BNFuncInplaceRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.734s)
2022-11-23T01:45:09.5060723Z   test_qbatch_norm_relu_BNFuncRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.812s)
2022-11-23T01:45:09.5060903Z   test_qbatch_norm_relu_BNRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.663s)
2022-11-23T01:45:09.5061071Z   test_quantized_add (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (4.517s)
2022-11-23T01:45:09.5061271Z   test_quantized_add_alpha (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2022-11-23T01:45:09.5061404Z Test quant fusion for multiple aten::add using same ... ok (1.741s)
2022-11-23T01:45:09.5061578Z   test_quantized_add_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.920s)
2022-11-23T01:45:09.5061751Z   test_quantized_add_relu_alpha (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2022-11-23T01:45:09.5061883Z Test quant fusion for multiple aten::add using same ... ok (18.710s)
2022-11-23T01:45:09.5062047Z   test_quantized_add_scalar (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (2.701s)
2022-11-23T01:45:09.5062230Z   test_quantized_add_scalar_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (6.093s)
2022-11-23T01:45:09.5062386Z   test_quantized_cat (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2022-11-23T01:45:09.5062520Z quantization of the output of cat will be depend on the ... ok (1.706s)
2022-11-23T01:45:09.5062692Z   test_quantized_conv (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (3.451s)
2022-11-23T01:45:09.5062855Z   test_quantized_conv_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps)
2022-11-23T01:45:09.5062976Z tests for conv1d_relu/conv2d_relu/conv3d_relu ... ok (13.885s)
2022-11-23T01:45:09.5063144Z   test_quantized_mul (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (1.815s)
2022-11-23T01:45:09.5063306Z   test_quantized_mul_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.959s)
2022-11-23T01:45:09.5063481Z   test_quantized_mul_scalar (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (1.756s)
2022-11-23T01:45:09.5063661Z   test_quantized_mul_scalar_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.836s)
2022-11-23T01:45:09.5063830Z   test_conv_trace (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.052s)
2022-11-23T01:45:09.5064015Z   test_convtranspose_trace (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.053s)
2022-11-23T01:45:09.5064195Z   test_dedup_module_uses (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.006s)
2022-11-23T01:45:09.5064369Z   test_finalize_debug (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.078s)
2022-11-23T01:45:09.5064550Z   test_finalize_for_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.075s)
2022-11-23T01:45:09.5064732Z   test_foldbn_complex_cases (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.759s)
2022-11-23T01:45:09.5064899Z   test_foldbn_in_submodule (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.065s)
2022-11-23T01:45:09.5065067Z   test_foldbn_no_fusion (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2022-11-23T01:45:09.5065280Z Test that we don't fuse the cases when module type does not match ... ok (0.007s)
2022-11-23T01:45:09.5065467Z   test_foldbn_shared_classtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.530s)
2022-11-23T01:45:09.5065641Z   test_foldbn_trivial (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.054s)
2022-11-23T01:45:09.5065824Z   test_foldbn_trivial_nobias (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.054s)
2022-11-23T01:45:09.5066023Z   test_fuse_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.038s)
2022-11-23T01:45:09.5066201Z   test_inplace_option (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.188s)
2022-11-23T01:45:09.5066377Z   test_insert_observers (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.031s)
2022-11-23T01:45:09.5066561Z   test_insert_observers_child_qconfig (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.037s)
2022-11-23T01:45:09.5066746Z   test_insert_observers_for_general_ops (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2022-11-23T01:45:09.5066938Z Make sure we skip observers for ops that doesn't require ... ok (0.031s)
2022-11-23T01:45:09.5067151Z   test_insert_observers_for_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.104s)
2022-11-23T01:45:09.5067350Z   test_insert_observers_for_if_consistent_observation (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2022-11-23T01:45:09.5067468Z check quantization for if works as long as ... ok (0.272s)
2022-11-23T01:45:09.5067658Z   test_insert_observers_for_nested_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.105s)
2022-11-23T01:45:09.5067855Z   test_insert_observers_for_reused_weight (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.026s)
2022-11-23T01:45:09.5068042Z   test_insert_observers_interface (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.074s)
2022-11-23T01:45:09.5068232Z   test_insert_observers_interface_unshare_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.266s)
2022-11-23T01:45:09.5068420Z   test_insert_observers_propagate_observed (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2022-11-23T01:45:09.5068567Z Make sure we propagate observed property through general ops ... ok (0.036s)
2022-11-23T01:45:09.5068780Z   test_insert_observers_propagate_observed_for_function (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.045s)
2022-11-23T01:45:09.5068984Z   test_insert_observers_propagate_observed_in_submodule (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2022-11-23T01:45:09.5069128Z Make sure we propagate observed property through general ops ... ok (0.041s)
2022-11-23T01:45:09.5069324Z   test_insert_observers_shared_class_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.037s)
2022-11-23T01:45:09.5069512Z   test_insert_observers_skip_values (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.128s)
2022-11-23T01:45:09.5069704Z   test_insert_observers_weight_dtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.032s)
2022-11-23T01:45:09.5069877Z   test_insert_quant_dequant (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.158s)
2022-11-23T01:45:09.5070076Z   test_insert_quant_dequant_shared_class_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.182s)
2022-11-23T01:45:09.5070257Z   test_interface_with_fork (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.086s)
2022-11-23T01:45:09.5070427Z   test_module_list (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.094s)
2022-11-23T01:45:09.5070593Z   test_quantize_fork_wait (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2022-11-23T01:45:09.5070843Z Tests the case where fork and wait calls are in different subgraphs ... [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2022-11-23T01:45:09.5070910Z ok (0.076s)
2022-11-23T01:45:09.5071101Z   test_replicate_dequant_same_value (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.080s)
2022-11-23T01:45:09.5071288Z   test_replicate_dequantize (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.009s)
2022-11-23T01:45:09.5071470Z   test_replicate_dequantize_in_block (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.008s)
2022-11-23T01:45:09.5071674Z   test_replicate_quantize_for_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses)
2022-11-23T01:45:09.5071914Z We want to move quantize nodes for output of prim::If ... [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2022-11-23T01:45:09.5072097Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2022-11-23T01:45:09.5072271Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2022-11-23T01:45:09.5072441Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2022-11-23T01:45:09.5072538Z ok (0.094s)
2022-11-23T01:45:09.5072728Z   test_skip_dequant_constant_prop (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.095s)
2022-11-23T01:45:09.5072913Z   test_swap_functional_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.008s)
2022-11-23T01:45:09.5073137Z   test_benchmark (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: used for local benchmarking, comment when we want to run it (0.002s)
2022-11-23T01:45:09.5073300Z   test_qconv1d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (1.392s)
2022-11-23T01:45:09.5073494Z   test_qconv1d_cudnn (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: cudnn is not enabled. (0.006s)
2022-11-23T01:45:09.5073664Z   test_qconv1d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.561s)
2022-11-23T01:45:09.5073823Z   test_qconv2d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (5.299s)
2022-11-23T01:45:09.5074021Z   test_qconv2d_cudnn (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: cudnn is not enabled. (0.006s)
2022-11-23T01:45:09.5074190Z   test_qconv2d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.809s)
2022-11-23T01:45:09.5074348Z   test_qconv3d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (1.327s)
2022-11-23T01:45:09.5074591Z   test_qconv3d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.524s)
2022-11-23T01:45:09.5074758Z   test_qconv_transpose1d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.841s)
2022-11-23T01:45:09.5075033Z   test_qconv_transpose2d (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s)
2022-11-23T01:45:09.5075305Z   test_qconv_transpose3d (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.003s)
2022-11-23T01:45:09.5075493Z   test_embedding (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.133s)
2022-11-23T01:45:09.5075678Z   test_embedding_2d_indices (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps)
2022-11-23T01:45:09.5075819Z Tests the case where 2D indices are passed into the operator ... ok (0.002s)
2022-11-23T01:45:09.5076014Z   test_embedding_bag_2bit (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.127s)
2022-11-23T01:45:09.5076237Z   test_embedding_bag_2bit_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.000s)
2022-11-23T01:45:09.5076424Z   test_embedding_bag_2d_indices (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps)
2022-11-23T01:45:09.5076551Z Tests the case where 2D indices are passed into the operator ... ok (0.003s)
2022-11-23T01:45:09.5076741Z   test_embedding_bag_4bit (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.128s)
2022-11-23T01:45:09.5076966Z   test_embedding_bag_4bit_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.000s)
2022-11-23T01:45:09.5077154Z   test_embedding_bag_byte (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.135s)
2022-11-23T01:45:09.5077408Z   test_embedding_bag_byte_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.000s)
2022-11-23T01:45:09.5077616Z   test_conv1d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.174s)
2022-11-23T01:45:09.5077820Z   test_conv2d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.192s)
2022-11-23T01:45:09.5078023Z   test_conv3d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.145s)
2022-11-23T01:45:09.5078752Z   test_grid_sample (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T01:45:09.5078856Z   warnings.warn(
2022-11-23T01:45:09.5078911Z ok (0.060s)
2022-11-23T01:45:09.5079113Z   test_relu_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.002s)
2022-11-23T01:45:09.5079279Z   test_qlinear (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (1.101s)
2022-11-23T01:45:09.5079482Z   test_qlinear_cudnn (quantization.core.test_quantized_op.TestQuantizedLinear) ... skip: cudnn is not enabled. (0.006s)
2022-11-23T01:45:09.5079657Z   test_qlinear_unpack (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (0.153s)
2022-11-23T01:45:09.5079830Z   test_adaptive_avg_pool (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.634s)
2022-11-23T01:45:09.5080016Z   test_adaptive_avg_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.077s)
2022-11-23T01:45:09.5080198Z   test_adaptive_avg_pool3d_ndhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.074s)
2022-11-23T01:45:09.5080368Z   test_add_scalar_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.201s)
2022-11-23T01:45:09.5080518Z   test_advanced_indexing (quantization.core.test_quantized_op.TestQuantizedOps)
2022-11-23T01:45:09.5080656Z Verifies that the x[:, [0], :, :] syntax works for quantized tensors. ... ok (0.006s)
2022-11-23T01:45:09.5080809Z   test_avg_pool2d (quantization.core.test_quantized_op.TestQuantizedOps)
2022-11-23T01:45:09.5080990Z Note: we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (1.084s)
2022-11-23T01:45:09.5081145Z   test_avg_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps)
2022-11-23T01:45:09.5081324Z Note: 1) we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (1.164s)
2022-11-23T01:45:09.5081477Z   test_avg_pool3d (quantization.core.test_quantized_op.TestQuantizedOps)
2022-11-23T01:45:09.5081653Z Note: we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (4.984s)
2022-11-23T01:45:09.5081797Z   test_avg_pool3d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps)
2022-11-23T01:45:09.5081976Z Note: 1) we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (7.820s)
2022-11-23T01:45:09.5082142Z   test_batch_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.619s)
2022-11-23T01:45:09.5082309Z   test_batch_norm_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.554s)
2022-11-23T01:45:09.5082463Z   test_cat (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.378s)
2022-11-23T01:45:09.5082622Z   test_cat_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.280s)
2022-11-23T01:45:09.5082790Z   test_channel_shuffle (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.723s)
2022-11-23T01:45:09.5082961Z   test_custom_module_lstm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (35.759s)
2022-11-23T01:45:09.5083580Z   test_custom_module_multi_head_attention (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py:1204: UserWarning: must run observer before calling calculate_qparams.                                    Returning default scale and zero point 
2022-11-23T01:45:09.5083655Z   warnings.warn(
2022-11-23T01:45:09.5083709Z ok (10.444s)
2022-11-23T01:45:09.5084205Z   test_empty_batch (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:45:09.5084431Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:45:09.5084498Z ok (0.010s)
2022-11-23T01:45:09.5084656Z   test_equal (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.188s)
2022-11-23T01:45:09.5084818Z   test_group_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (6.245s)
2022-11-23T01:45:09.5084982Z   test_hardswish (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.479s)
2022-11-23T01:45:09.5085144Z   test_hardtanh (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.658s)
2022-11-23T01:45:09.5085297Z   test_instance_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.436s)
2022-11-23T01:45:09.5085453Z   test_interpolate (quantization.core.test_quantized_op.TestQuantizedOps)
2022-11-23T01:45:09.5085594Z This test cover upsample_nearest2d and upsample_bilinear2d ... ok (3.057s)
2022-11-23T01:45:09.5085750Z   test_interpolate3d (quantization.core.test_quantized_op.TestQuantizedOps)
2022-11-23T01:45:09.5085863Z This test cover upsample_nearest3d ... ok (16.535s)
2022-11-23T01:45:09.5086023Z   test_leaky_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.020s)
2022-11-23T01:45:09.5086203Z   test_leaky_relu_observed_output (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.549s)
2022-11-23T01:45:09.5086377Z   test_linear_bias_unpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.003s)
2022-11-23T01:45:09.5086525Z   test_max_pool1d (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.238s)
2022-11-23T01:45:09.5086686Z   test_max_pool2d (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.560s)
2022-11-23T01:45:09.5086882Z   test_max_pool2d_cudnn (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.005s)
2022-11-23T01:45:09.5087051Z   test_max_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.527s)
2022-11-23T01:45:09.5087208Z   test_mean (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.360s)
2022-11-23T01:45:09.5087375Z   test_mul_scalar_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.240s)
2022-11-23T01:45:09.5087930Z   test_qadd_broadcast (quantization.core.test_quantized_op.TestQuantizedOps) ... [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [1, 1, 4, 4], which does not match the required output shape [2, 1, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:45:09.5087996Z ok (0.002s)
2022-11-23T01:45:09.5088192Z   test_qadd_relu_cudnn (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.001s)
2022-11-23T01:45:09.5088389Z   test_qadd_relu_cudnn_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.001s)
2022-11-23T01:45:09.5088567Z   test_qadd_relu_different_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.005s)
2022-11-23T01:45:09.5088746Z   test_qadd_relu_same_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.005s)
2022-11-23T01:45:09.5088932Z   test_qcelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.134s)
2022-11-23T01:45:09.5089093Z   test_qclamp (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.822s)
2022-11-23T01:45:09.5089250Z   test_qelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.166s)
2022-11-23T01:45:09.5089404Z   test_qgelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.044s)
2022-11-23T01:45:09.5089570Z   test_qhardsigmoid (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.365s)
2022-11-23T01:45:09.5089731Z   test_qlayer_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.089s)
2022-11-23T01:45:09.5089922Z   test_qmatmul (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.190s)
2022-11-23T01:45:09.5090077Z   test_qmul_broadcast (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.002s)
2022-11-23T01:45:09.5090257Z   test_qmul_relu_different_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.005s)
2022-11-23T01:45:09.5090434Z   test_qmul_relu_same_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.418s)
2022-11-23T01:45:09.5090593Z   test_qprelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.044s)
2022-11-23T01:45:09.5090747Z   test_qrelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.762s)
2022-11-23T01:45:09.5090899Z   test_qrelu6 (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.222s)
2022-11-23T01:45:09.5091061Z   test_qsoftmax (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.153s)
2022-11-23T01:45:09.5091230Z   test_qsoftmax_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.293s)
2022-11-23T01:45:09.5091491Z   test_qtanh (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.005s)
2022-11-23T01:45:09.5091643Z   test_qthreshold (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.156s)
2022-11-23T01:45:09.5092073Z   test_qtopk (quantization.core.test_quantized_op.TestQuantizedOps) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_op.py:2000: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:45:09.5092166Z   indices = torch.tensor(X).long()
2022-11-23T01:45:09.5092233Z ok (0.075s)
2022-11-23T01:45:09.5092412Z   test_quantized_mean_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.013s)
2022-11-23T01:45:09.5092570Z   test_sigmoid (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.178s)
2022-11-23T01:45:09.5092745Z   test_sigmoid_non_observed (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.742s)
2022-11-23T01:45:09.5092897Z   test_std (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.511s)
2022-11-23T01:45:09.5093080Z   test_bfp16_quantize (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2022-11-23T01:45:09.5093352Z   test_choose_qparams (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s)
2022-11-23T01:45:09.5093547Z   test_choose_qparams_optimized (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.012s)
2022-11-23T01:45:09.5093720Z   test_clone (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2022-11-23T01:45:09.5093952Z   test_compare_per_channel_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s)
2022-11-23T01:45:09.5094185Z   test_compare_per_tensor_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s)
2022-11-23T01:45:09.5094444Z   test_cuda_quantization_does_not_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.000s)
2022-11-23T01:45:09.5094649Z   test_decomposed_dequantize_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2022-11-23T01:45:09.5094846Z   test_decomposed_dynamic_quant_pattern (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2022-11-23T01:45:09.5095051Z   test_decomposed_quantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2022-11-23T01:45:09.5095250Z   test_decomposed_quantize_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2022-11-23T01:45:09.5095465Z   test_dequantize_fp16_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2022-11-23T01:45:09.5095677Z   test_dequantize_fp16_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2022-11-23T01:45:09.5096083Z   test_fp16_saturate_op (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_tensor.py:1393: UserWarning: FOUND weight out of range  (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/quantized/cpu/QuantUtils.h:215.)
2022-11-23T01:45:09.5096180Z   y = torch._saturate_weight_to_fp16(x)
2022-11-23T01:45:09.5096249Z ok (0.001s)
2022-11-23T01:45:09.5096552Z   test_jit_serialization (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s)
2022-11-23T01:45:09.5096755Z   test_per_channel_qtensor_creation_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2022-11-23T01:45:09.5096986Z   test_per_channel_qtensor_creation_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2022-11-23T01:45:09.5097189Z   test_per_channel_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2022-11-23T01:45:09.5097409Z   test_per_channel_to_device (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.001s)
2022-11-23T01:45:09.5097598Z   test_per_tensor_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2022-11-23T01:45:09.5097811Z   test_per_tensor_to_device (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.001s)
2022-11-23T01:45:09.5098480Z   test_pickle_checkpoint_qtensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:45:09.5098582Z   warnings.warn(message, UserWarning)
2022-11-23T01:45:09.5098650Z ok (0.008s)
2022-11-23T01:45:09.5098833Z   test_qscheme_pickle (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s)
2022-11-23T01:45:09.5099033Z   test_qtensor_channel_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.080s)
2022-11-23T01:45:09.5099209Z   test_qtensor_copy (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.017s)
2022-11-23T01:45:09.5099386Z   test_qtensor_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s)
2022-11-23T01:45:09.5099558Z   test_qtensor_creation (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s)
2022-11-23T01:45:09.5099761Z   test_qtensor_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2022-11-23T01:45:09.5099944Z   test_qtensor_dtypes (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2022-11-23T01:45:09.5100133Z   test_qtensor_fill_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s)
2022-11-23T01:45:09.5100379Z   test_qtensor_fill_per_channel_nhwc (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s)
2022-11-23T01:45:09.5100572Z   test_qtensor_fill_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s)
2022-11-23T01:45:09.5100765Z   test_qtensor_fill_per_tensor_nhwc (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s)
2022-11-23T01:45:09.5100957Z   test_qtensor_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.004s)
2022-11-23T01:45:09.5101144Z   test_qtensor_index_put_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.011s)
2022-11-23T01:45:09.5101395Z   test_qtensor_index_put_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2022-11-23T01:45:09.5101577Z   test_qtensor_index_select_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2022-11-23T01:45:09.5101800Z   test_qtensor_index_select_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2022-11-23T01:45:09.5101982Z   test_qtensor_int_repr (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2022-11-23T01:45:09.5102177Z   test_qtensor_legacy_new_failure (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.007s)
2022-11-23T01:45:09.5102363Z   test_qtensor_load_save (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s)
2022-11-23T01:45:09.5102556Z   test_qtensor_masked_fill_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.012s)
2022-11-23T01:45:09.5102774Z   test_qtensor_masked_fill_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s)
2022-11-23T01:45:09.5102977Z   test_qtensor_per_channel_load_save (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.007s)
2022-11-23T01:45:09.5103178Z   test_qtensor_per_channel_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.010s)
2022-11-23T01:45:09.5103350Z   test_qtensor_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s)
2022-11-23T01:45:09.5103539Z   test_qtensor_quant_dequant (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s)
2022-11-23T01:45:09.5103736Z   test_qtensor_quantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.528s)
2022-11-23T01:45:09.5103920Z   test_qtensor_reshape (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s)
2022-11-23T01:45:09.5104347Z   test_qtensor_resize (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:746: UserWarning: non-inplace resize is deprecated
2022-11-23T01:45:09.5104516Z   warnings.warn("non-inplace resize is deprecated")
2022-11-23T01:45:09.5104585Z ok (0.003s)
2022-11-23T01:45:09.5104784Z   test_qtensor_sub_byte_aligned_cols (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.006s)
2022-11-23T01:45:09.5104986Z   test_qtensor_sub_byte_not_aligned_cols (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s)
2022-11-23T01:45:09.5105160Z   test_qtensor_unsqueeze (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.014s)
2022-11-23T01:45:09.5105342Z   test_qtensor_view (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s)
2022-11-23T01:45:09.5105556Z   test_quant_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.000s)
2022-11-23T01:45:09.5105760Z   test_quantize_per_channel_float_qparams (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.544s)
2022-11-23T01:45:09.5105949Z   test_quantize_per_channel_sub_byte (quantization.core.test_quantized_tensor.TestQuantizedTensor)
2022-11-23T01:45:09.5106157Z Tests the per channel quantization scheme for 4-bit qtensors. ... ok (0.024s)
2022-11-23T01:45:09.5106360Z   test_repeat (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s)
2022-11-23T01:45:09.5106554Z   test_torch_qtensor_deepcopy (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s)
2022-11-23T01:45:09.5106762Z   test_observer_scriptable (quantization.core.test_workflow_module.TestRecordHistogramObserver) ... ok (0.016s)
2022-11-23T01:45:09.5106949Z   test_record_observer (quantization.core.test_workflow_module.TestRecordHistogramObserver) ... ok (0.008s)
2022-11-23T01:45:09.5107128Z   test_rnn (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
2022-11-23T01:45:09.5107274Z Checks the rnn reference quantized modules has correct numerics ... ok (0.012s)
2022-11-23T01:45:09.5107489Z   test_rnn_cell (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
2022-11-23T01:45:09.5107643Z Checks the rnn cell reference quantized modules has correct numerics ... ok (0.007s)
2022-11-23T01:45:09.5107826Z   test_sparse (quantization.core.test_quantized_module.TestReferenceQuantizedModule)
2022-11-23T01:45:09.5107931Z Embedding and EmbeddingBag ... ok (0.004s)
2022-11-23T01:45:09.5108112Z   test_conv2d (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.061s)
2022-11-23T01:45:09.5108287Z   test_conv2d_graph (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.026s)
2022-11-23T01:45:09.5108476Z   test_conv2d_graph_v2 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.037s)
2022-11-23T01:45:09.5108663Z   test_conv2d_graph_v3 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.049s)
2022-11-23T01:45:09.5108850Z   test_conv2d_nobias (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.049s)
2022-11-23T01:45:09.5109046Z   test_conv2d_nobias_graph (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.021s)
2022-11-23T01:45:09.5109242Z   test_conv2d_nobias_graph_v2 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.021s)
2022-11-23T01:45:09.5109443Z   test_conv2d_nobias_graph_v3 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.020s)
2022-11-23T01:45:09.5109628Z   test_conv2d_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.053s)
2022-11-23T01:45:09.5109806Z   test_conv3d (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.015s)
2022-11-23T01:45:09.5109977Z   test_conv3d_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.015s)
2022-11-23T01:45:09.5110174Z   test_default_qat_qconfig (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.011s)
2022-11-23T01:45:09.5110352Z   test_linear (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.045s)
2022-11-23T01:45:09.5110538Z   test_linear_dynamic (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.059s)
2022-11-23T01:45:09.5110726Z   test_linear_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.043s)
2022-11-23T01:45:09.5111410Z   test_linear_relu_package_quantization_transforms (quantization.bc.test_backward_compatibility.TestSerialization) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/prepare.py:1482: UserWarning: Passing a QConfig dictionary to prepare is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead.
2022-11-23T01:45:09.5111487Z   warnings.warn(
2022-11-23T01:45:09.5111996Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node child_packed_weight_0 target child_packed_weight_0 child_packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.5112209Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.5112709Z /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_0 target _packed_weight_0 _packed_weight_0 of  does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2022-11-23T01:45:09.5112918Z   warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does '
2022-11-23T01:45:09.5112972Z ok (0.305s)
2022-11-23T01:45:09.5113150Z   test_lstm (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.035s)
2022-11-23T01:45:09.5113347Z   test_per_channel_observer (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.005s)
2022-11-23T01:45:09.5113541Z   test_per_tensor_observer (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.003s)
2022-11-23T01:45:09.5113753Z   test_batch_norm2d (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5113879Z Tests the correctness of the batchnorm2d module. ... ok (0.002s)
2022-11-23T01:45:09.5114422Z   test_batch_norm2d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py:311: UserWarning: must run observer before calling calculate_qparams. Returning default values.
2022-11-23T01:45:09.5114575Z   warnings.warn(
2022-11-23T01:45:09.5114635Z ok (0.008s)
2022-11-23T01:45:09.5114817Z   test_batch_norm3d (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5114944Z Tests the correctness of the batchnorm3d module. ... ok (0.002s)
2022-11-23T01:45:09.5115154Z   test_batch_norm3d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.007s)
2022-11-23T01:45:09.5115339Z   test_channel_shuffle (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5115473Z Tests the correctness of the ChannelShuffle module. ... ok (0.009s)
2022-11-23T01:45:09.5115667Z   test_conv1d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (3.496s)
2022-11-23T01:45:09.5115859Z   test_conv2d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (3.489s)
2022-11-23T01:45:09.5116048Z   test_conv3d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.423s)
2022-11-23T01:45:09.5116212Z   test_dropout (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5116332Z Tests the correctness of the dropout module. ... ok (0.002s)
2022-11-23T01:45:09.5116543Z   test_dropout_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.005s)
2022-11-23T01:45:09.5116712Z   test_elu (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5116832Z Tests the correctness of the ELU module. ... ok (0.002s)
2022-11-23T01:45:09.5117029Z   test_embedding_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (3.360s)
2022-11-23T01:45:09.5117216Z   test_embedding_bag_api (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5117392Z Test execution and serialization for dynamic quantized embedding_bag modules on int8 ... ok (3.560s)
2022-11-23T01:45:09.5117556Z   test_group_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5117678Z Tests the correctness of the groupnorm module. ... ok (0.003s)
2022-11-23T01:45:09.5117857Z   test_instance_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5117988Z Tests the correctness of the instancenorm{n}d modules. ... ok (0.007s)
2022-11-23T01:45:09.5118168Z   test_layer_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5118295Z Tests the correctness of the layernorm module. ... ok (0.003s)
2022-11-23T01:45:09.5118487Z   test_leaky_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2022-11-23T01:45:09.5118677Z   test_linear_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (25.873s)
2022-11-23T01:45:09.5118875Z   test_pool_api (quantization.core.test_quantized_module.TestStaticQuantizedModule)
2022-11-23T01:45:09.5118994Z Tests the correctness of the pool module. ... ok (0.013s)
2022-11-23T01:45:09.5119181Z   test_prelu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2022-11-23T01:45:09.5119381Z   test_quant_dequant_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2022-11-23T01:45:09.5119561Z   test_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2022-11-23T01:45:09.5119747Z   test_sigmoid (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s)
2022-11-23T01:45:09.5119983Z   test_subgraph_rewriter_annotations_int (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (5.062s)
2022-11-23T01:45:09.5120206Z   test_subgraph_rewriter_correct_output_replacement (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.413s)
2022-11-23T01:45:09.5120418Z   test_subgraph_rewriter_graph_argument_order (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.047s)
2022-11-23T01:45:09.5120657Z   test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.036s)
2022-11-23T01:45:09.5120866Z   test_subgraph_rewriter_multiple_pattern_match (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.047s)
2022-11-23T01:45:09.5121079Z   test_subgraph_rewriter_pattern_is_entire_graph (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s)
2022-11-23T01:45:09.5121331Z   test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.046s)
2022-11-23T01:45:09.5121536Z   test_subgraph_rewriter_placeholder_matching (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter)
2022-11-23T01:45:09.5121683Z This tests that a placeholder Node can be matched to a Node with ... ok (0.046s)
2022-11-23T01:45:09.5121890Z   test_subgraph_rewriter_preserves_logic (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.047s)
2022-11-23T01:45:09.5122114Z   test_subgraph_rewriter_replaces_referenced_submodules (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.038s)
2022-11-23T01:45:09.5122321Z   test_subgraph_rewriter_single_pattern_match (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.046s)
2022-11-23T01:45:09.5122526Z   test_subgraph_rewriter_traced_as_callable (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s)
2022-11-23T01:45:09.5122726Z   test_subgraph_rewriter_with_oneliner_pattern (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s)
2022-11-23T01:45:09.5122947Z   test_subgraph_writer_replace_consecutive_submodules (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s)
2022-11-23T01:45:09.5123113Z   test_get_fqn_to_example_inputs_complex_args (quantization.core.test_utils.TestUtils)
2022-11-23T01:45:09.5123261Z Test that we can record complex example inputs such as lists and dicts ... ok (0.007s)
2022-11-23T01:45:09.5123428Z   test_get_fqn_to_example_inputs_default_kwargs (quantization.core.test_utils.TestUtils)
2022-11-23T01:45:09.5123591Z Test that we can get example inputs for functions with default keyword arguments ... ok (0.007s)
2022-11-23T01:45:09.5123758Z   test_get_fqn_to_example_inputs_simple (quantization.core.test_utils.TestUtils) ... ok (0.006s)
2022-11-23T01:45:09.5123921Z   test_quantize_weight_clamping_per_channel (quantization.core.test_utils.TestUtils)
2022-11-23T01:45:09.5124088Z Test quant_{min, max} from per channel observer is honored by `_quantize_weight` method ... ok (0.002s)
2022-11-23T01:45:09.5124236Z   test_quantize_weight_clamping_per_tensor (quantization.core.test_utils.TestUtils)
2022-11-23T01:45:09.5124430Z Test quant_{min, max} from per tensor observer is honored by `_quantize_weight` method ... ok (0.002s)
2022-11-23T01:45:09.5124446Z 
2022-11-23T01:45:09.5124658Z ----------------------------------------------------------------------
2022-11-23T01:45:09.5124738Z Ran 977 tests in 686.755s
2022-11-23T01:45:09.5124743Z 
2022-11-23T01:45:09.5124815Z OK (skipped=62)
2022-11-23T01:45:09.5124819Z 
2022-11-23T01:45:09.5124900Z Generating XML reports...
2022-11-23T01:45:09.5125315Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic-20221123013341.xml
2022-11-23T01:45:09.5125715Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized-20221123013341.xml
2022-11-23T01:45:09.5126164Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_quantization.TestAOMigrationQuantization-20221123013341.xml
2022-11-23T01:45:09.5126573Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx-20221123013341.xml
2022-11-23T01:45:09.5126926Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_backend_config.TestBackendConfig-20221123013341.xml
2022-11-23T01:45:09.5127318Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager-20221123013341.xml
2022-11-23T01:45:09.5127673Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestComparatorOps-20221123013341.xml
2022-11-23T01:45:09.5128066Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized-20221123013341.xml
2022-11-23T01:45:09.5128435Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestDistributed-20221123013341.xml
2022-11-23T01:45:09.5128835Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestDynamicQuantizedModule-20221123013341.xml
2022-11-23T01:45:09.5129213Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestDynamicQuantizedOps-20221123013341.xml
2022-11-23T01:45:09.5129577Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_equalize_eager.TestEqualizeEager-20221123013341.xml
2022-11-23T01:45:09.5129914Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_equalize_fx.TestEqualizeFx-20221123013341.xml
2022-11-23T01:45:09.5130273Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher-20221123013341.xml
2022-11-23T01:45:09.5130649Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels-20221123013341.xml
2022-11-23T01:45:09.5131020Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs-20221123013341.xml
2022-11-23T01:45:09.5131423Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels-20221123013341.xml
2022-11-23T01:45:09.5131803Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows-20221123013341.xml
2022-11-23T01:45:09.5132169Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestFakeQuantize-20221123013341.xml
2022-11-23T01:45:09.5132527Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_ops.TestFakeQuantizeOps-20221123013341.xml
2022-11-23T01:45:09.5132921Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_fuse_eager.TestFuseEager-20221123013341.xml
2022-11-23T01:45:09.5133250Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestFuseFx-20221123013341.xml
2022-11-23T01:45:09.5133617Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_ops.TestFusedObsFakeQuant-20221123013341.xml
2022-11-23T01:45:09.5134015Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestFusedObsFakeQuantModule-20221123013341.xml
2022-11-23T01:45:09.5134399Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_fusion_passes.TestFusionPasses-20221123013341.xml
2022-11-23T01:45:09.5134814Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization-20221123013341.xml
2022-11-23T01:45:09.5135173Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxDetectOutliers-20221123013341.xml
2022-11-23T01:45:09.5135525Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportClass-20221123013341.xml
2022-11-23T01:45:09.5135940Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportDetectDynamicStatic-20221123013341.xml
2022-11-23T01:45:09.5136317Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportDetector-20221123013341.xml
2022-11-23T01:45:09.5136813Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportObserver-20221123013341.xml
2022-11-23T01:45:09.5137196Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportVisualizer-20221123013341.xml
2022-11-23T01:45:09.5137575Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestHistogramObserver-20221123013341.xml
2022-11-23T01:45:09.5137959Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_model_numerics.TestModelNumericsEager-20221123013341.xml
2022-11-23T01:45:09.5138345Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager-20221123013341.xml
2022-11-23T01:45:09.5138697Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestObserver-20221123013341.xml
2022-11-23T01:45:09.5139037Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestPadding-20221123013341.xml
2022-11-23T01:45:09.5139387Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQNNPackOps-20221123013341.xml
2022-11-23T01:45:09.5139730Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_docs.TestQuantizationDocs-20221123013341.xml
2022-11-23T01:45:09.5140111Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps-20221123013341.xml
2022-11-23T01:45:09.5140499Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses-20221123013341.xml
2022-11-23T01:45:09.5140882Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps-20221123013341.xml
2022-11-23T01:45:09.5141329Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic-20221123013341.xml
2022-11-23T01:45:09.5141726Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic-20221123013341.xml
2022-11-23T01:45:09.5142098Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT-20221123013341.xml
2022-11-23T01:45:09.5142505Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics-20221123013341.xml
2022-11-23T01:45:09.5142889Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFx-20221123013341.xml
2022-11-23T01:45:09.5143246Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFxModels-20221123013341.xml
2022-11-23T01:45:09.5143591Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFxOps-20221123013341.xml
2022-11-23T01:45:09.5143949Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJit-20221123013341.xml
2022-11-23T01:45:09.5144289Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJitOps-20221123013341.xml
2022-11-23T01:45:09.5144650Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJitPasses-20221123013341.xml
2022-11-23T01:45:09.5145002Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedConv-20221123013341.xml
2022-11-23T01:45:09.5145379Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedEmbeddingOps-20221123013341.xml
2022-11-23T01:45:09.5145794Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_functional.TestQuantizedFunctionalOps-20221123013341.xml
2022-11-23T01:45:09.5146153Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedLinear-20221123013341.xml
2022-11-23T01:45:09.5146501Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedOps-20221123013341.xml
2022-11-23T01:45:09.5146874Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_tensor.TestQuantizedTensor-20221123013341.xml
2022-11-23T01:45:09.5147268Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestRecordHistogramObserver-20221123013341.xml
2022-11-23T01:45:09.5147674Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestReferenceQuantizedModule-20221123013341.xml
2022-11-23T01:45:09.5148059Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.bc.test_backward_compatibility.TestSerialization-20221123013341.xml
2022-11-23T01:45:09.5148441Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestStaticQuantizedModule-20221123013341.xml
2022-11-23T01:45:09.5148821Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter-20221123013341.xml
2022-11-23T01:45:09.5149145Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_utils.TestUtils-20221123013341.xml
2022-11-23T01:45:09.5149153Z 
2022-11-23T01:45:09.5149576Z ##[endgroup]
2022-11-23T01:45:09.5149869Z FINISHED PRINTING LOG FILE of test_quantization (/var/lib/jenkins/workspace/test/test-reports/test_quantization_uikzvirg)
2022-11-23T01:45:09.5149875Z 
2022-11-23T01:45:09.8049042Z Running distributions/test_distributions ... [2022-11-23 01:45:09.804472]
2022-11-23T01:45:09.8050330Z Executing ['/opt/conda/bin/python', '-bb', 'distributions/test_distributions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:45:09.804808]
2022-11-23T01:45:53.6963739Z 
2022-11-23T01:45:53.6964333Z Expand the folded group to see the log file of distributions/test_distributions
2022-11-23T01:45:53.6965298Z ##[group]PRINTING LOG FILE of distributions/test_distributions (/var/lib/jenkins/workspace/test/test-reports/distributions-test_distributions_lgaf993r)
2022-11-23T01:45:53.6968002Z 
2022-11-23T01:45:53.6968295Z Running tests...
2022-11-23T01:45:53.6968867Z ----------------------------------------------------------------------
2022-11-23T01:45:53.6969383Z Test results will be stored in test-reports/python-unittest/distributions.test_distributions
2022-11-23T01:45:53.6970089Z   test_cdf (__main__.TestAgainstScipy) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.
2022-11-23T01:45:53.6970720Z   warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.")
2022-11-23T01:45:53.6971256Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.6971580Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.6971816Z ok (0.073s)
2022-11-23T01:45:53.6975225Z   test_icdf (__main__.TestAgainstScipy) ... ok (0.028s)
2022-11-23T01:45:53.6975693Z   test_mean (__main__.TestAgainstScipy) ... ok (1.200s)
2022-11-23T01:45:53.6977398Z   test_variance_stddev (__main__.TestAgainstScipy) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.)
2022-11-23T01:45:53.6978179Z   return torch.as_tensor(tensor_like)
2022-11-23T01:45:53.6978375Z ok (0.035s)
2022-11-23T01:45:53.6978600Z   test_params_constraints (__main__.TestConstraints) ... ok (0.058s)
2022-11-23T01:45:53.6978995Z   test_support_constraints (__main__.TestConstraints) ... ok (0.073s)
2022-11-23T01:45:53.6979492Z   test_bernoulli_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6980029Z   test_bernoulli_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6980576Z   test_beta_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6981123Z   test_beta_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6981628Z   test_binomial_shape (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6982154Z   test_binomial_shape_vectorized_n (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6982584Z   test_categorical_shape (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T01:45:53.6983119Z   test_cauchy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6983632Z   test_cauchy_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6984188Z   test_chi2_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6984666Z   test_chi2_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6985176Z   test_continuous_bernoulli_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6985865Z   test_continuous_bernoulli_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T01:45:53.6986401Z   test_dirichlet_shape (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6986893Z   test_entropy_shape (__main__.TestDistributionShapes) ... ok (0.023s)
2022-11-23T01:45:53.6987429Z   test_exponential_shape_scalar_param (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6988072Z   test_exponential_shape_tensor_param (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6988702Z   test_gamma_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6989285Z   test_gamma_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6989958Z   test_geometric_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6990553Z   test_geometric_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6991127Z   test_gumbel_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6991691Z   test_halfcauchy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6992280Z   test_halfcauchy_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6992845Z   test_kumaraswamy_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6993422Z   test_laplace_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6993978Z   test_laplace_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6994634Z   test_mixture_same_family_shape (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6995174Z   test_multinomial_shape (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6995711Z   test_normal_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6996266Z   test_normal_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6996820Z   test_one_hot_categorical_shape (__main__.TestDistributionShapes) ... ok (0.005s)
2022-11-23T01:45:53.6997433Z   test_pareto_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6998005Z   test_studentT_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6998565Z   test_studentT_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6999132Z   test_uniform_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.6999682Z   test_uniform_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.7000256Z   test_vonmises_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.7000832Z   test_vonmises_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T01:45:53.7001394Z   test_weibull_scale_scalar_params (__main__.TestDistributionShapes) ... ok (0.002s)
2022-11-23T01:45:53.7001972Z   test_wishart_shape_scalar_params (__main__.TestDistributionShapes) ... ok (0.003s)
2022-11-23T01:45:53.7002563Z   test_wishart_shape_tensor_params (__main__.TestDistributionShapes) ... ok (0.008s)
2022-11-23T01:45:53.7003126Z   test_argmax_relaxed_categorical (__main__.TestDistributions) ... ok (0.020s)
2022-11-23T01:45:53.7003628Z   test_bernoulli (__main__.TestDistributions) ... ok (0.072s)
2022-11-23T01:45:53.7004091Z   test_bernoulli_3d (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7004608Z   test_bernoulli_enumerate_support (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7005124Z   test_beta_log_prob (__main__.TestDistributions) ... ok (0.063s)
2022-11-23T01:45:53.7005611Z   test_beta_sample (__main__.TestDistributions) ... ok (0.368s)
2022-11-23T01:45:53.7006092Z   test_beta_shape (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T01:45:53.7006575Z   test_beta_underflow (__main__.TestDistributions) ... ok (0.035s)
2022-11-23T01:45:53.7007208Z   test_beta_underflow_gpu (__main__.TestDistributions) ... skip: CUDA not found (0.001s)
2022-11-23T01:45:53.7007748Z   test_binomial (__main__.TestDistributions) ... ok (0.024s)
2022-11-23T01:45:53.7008270Z   test_binomial_enumerate_support (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7008796Z   test_binomial_extreme_vals (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T01:45:53.7009339Z   test_binomial_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.058s)
2022-11-23T01:45:53.7009902Z   test_binomial_log_prob_vectorized_count (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T01:45:53.7010496Z   test_binomial_sample (__main__.TestDistributions) ... ok (0.055s)
2022-11-23T01:45:53.7010981Z   test_binomial_stable (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7011498Z   test_binomial_vectorized_count (__main__.TestDistributions) ... ok (0.076s)
2022-11-23T01:45:53.7011997Z   test_categorical_1d (__main__.TestDistributions) ... ok (0.005s)
2022-11-23T01:45:53.7012474Z   test_categorical_2d (__main__.TestDistributions) ... ok (0.008s)
2022-11-23T01:45:53.7013017Z   test_categorical_enumerate_support (__main__.TestDistributions) ... ok (0.001s)
2022-11-23T01:45:53.7013536Z   test_cauchy (__main__.TestDistributions) ... ok (0.013s)
2022-11-23T01:45:53.7014529Z   test_cdf_icdf_inverse (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7015157Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7015509Z ok (0.201s)
2022-11-23T01:45:53.7015902Z   test_cdf_log_prob (__main__.TestDistributions) ... ok (0.084s)
2022-11-23T01:45:53.7016366Z   test_chi2_sample (__main__.TestDistributions) ... ok (0.094s)
2022-11-23T01:45:53.7016991Z   test_chi2_shape (__main__.TestDistributions) ... ok (0.005s)
2022-11-23T01:45:53.7017463Z   test_continuous_bernoulli (__main__.TestDistributions) ... ok (0.014s)
2022-11-23T01:45:53.7017987Z   test_continuous_bernoulli_3d (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7018504Z   test_dirichlet_log_prob (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T01:45:53.7018991Z   test_dirichlet_mode (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7019477Z   test_dirichlet_sample (__main__.TestDistributions) ... ok (0.038s)
2022-11-23T01:45:53.7019966Z   test_dirichlet_shape (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7020951Z   test_distribution_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7021626Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7021967Z ok (0.569s)
2022-11-23T01:45:53.7022402Z   test_distribution_subclass_expand (__main__.TestDistributions) ... ok (0.144s)
2022-11-23T01:45:53.7022948Z   test_enumerate_support_type (__main__.TestDistributions) ... ok (0.027s)
2022-11-23T01:45:53.7023477Z   test_exponential (__main__.TestDistributions) ... ok (0.009s)
2022-11-23T01:45:53.7023972Z   test_exponential_sample (__main__.TestDistributions) ... ok (0.090s)
2022-11-23T01:45:53.7024475Z   test_fishersnedecor (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T01:45:53.7024975Z   test_fishersnedecor_sample (__main__.TestDistributions) ... ok (0.806s)
2022-11-23T01:45:53.7025510Z   test_gamma_gpu_sample (__main__.TestDistributions) ... skip: CUDA not found (0.001s)
2022-11-23T01:45:53.7026091Z   test_gamma_gpu_shape (__main__.TestDistributions) ... skip: CUDA not found (0.001s)
2022-11-23T01:45:53.7026628Z   test_gamma_log_prob_at_boundary (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T01:45:53.7027151Z   test_gamma_sample (__main__.TestDistributions) ... ok (0.273s)
2022-11-23T01:45:53.7027628Z   test_gamma_shape (__main__.TestDistributions) ... ok (0.005s)
2022-11-23T01:45:53.7028103Z   test_geometric (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T01:45:53.7028771Z   test_geometric_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.012s)
2022-11-23T01:45:53.7029275Z   test_geometric_sample (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T01:45:53.7029764Z   test_gumbel (__main__.TestDistributions) ... ok (0.005s)
2022-11-23T01:45:53.7030236Z   test_gumbel_sample (__main__.TestDistributions) ... ok (0.525s)
2022-11-23T01:45:53.7030709Z   test_halfcauchy (__main__.TestDistributions) ... ok (0.010s)
2022-11-23T01:45:53.7031188Z   test_halfnormal (__main__.TestDistributions) ... ok (0.009s)
2022-11-23T01:45:53.7031657Z   test_halfnormal_logprob (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T01:45:53.7032256Z   test_halfnormal_sample (__main__.TestDistributions) ... ok (0.089s)
2022-11-23T01:45:53.7032747Z   test_has_examples (__main__.TestDistributions) ... ok (0.001s)
2022-11-23T01:45:53.7033736Z   test_independent_expand (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7034469Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7034808Z ok (0.679s)
2022-11-23T01:45:53.7035208Z   test_independent_shape (__main__.TestDistributions) ... ok (0.271s)
2022-11-23T01:45:53.7035749Z   test_invalid_parameter_broadcasting (__main__.TestDistributions) ... ok (0.034s)
2022-11-23T01:45:53.7036282Z   test_kumaraswamy_mean_variance (__main__.TestDistributions) ... ok (0.030s)
2022-11-23T01:45:53.7036760Z   test_kumaraswamy_shape (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T01:45:53.7037234Z   test_laplace (__main__.TestDistributions) ... ok (0.019s)
2022-11-23T01:45:53.7037692Z   test_laplace_sample (__main__.TestDistributions) ... ok (0.268s)
2022-11-23T01:45:53.7038148Z   test_lazy_property_grad (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T01:45:53.7038657Z   test_lkj_cholesky_log_prob (__main__.TestDistributions) ... ok (0.012s)
2022-11-23T01:45:53.7039136Z   test_logisticnormal (__main__.TestDistributions) ... ok (0.023s)
2022-11-23T01:45:53.7039600Z   test_logisticnormal_logprob (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7040065Z   test_logisticnormal_sample (__main__.TestDistributions) ... ok (0.304s)
2022-11-23T01:45:53.7040580Z   test_lognormal (__main__.TestDistributions) ... ok (0.017s)
2022-11-23T01:45:53.7058788Z   test_lognormal_logprob (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T01:45:53.7059324Z   test_lognormal_sample (__main__.TestDistributions) ... ok (0.268s)
2022-11-23T01:45:53.7059872Z   test_lowrank_multivariate_normal_log_prob (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T01:45:53.7060404Z   test_lowrank_multivariate_normal_moments (__main__.TestDistributions) ... ok (0.037s)
2022-11-23T01:45:53.7060946Z   test_lowrank_multivariate_normal_properties (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T01:45:53.7063942Z   test_lowrank_multivariate_normal_sample (__main__.TestDistributions) ... ok (0.038s)
2022-11-23T01:45:53.7064275Z   test_lowrank_multivariate_normal_shape (__main__.TestDistributions) ... ok (0.047s)
2022-11-23T01:45:53.7064605Z   test_mixture_same_family_log_prob (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T01:45:53.7064890Z   test_mixture_same_family_sample (__main__.TestDistributions) ... ok (0.046s)
2022-11-23T01:45:53.7065188Z   test_mixture_same_family_shape (__main__.TestDistributions) ... ok (0.008s)
2022-11-23T01:45:53.7065749Z   test_mode (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7066108Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7066304Z ok (0.107s)
2022-11-23T01:45:53.7066526Z   test_multinomial_1d (__main__.TestDistributions) ... ok (0.011s)
2022-11-23T01:45:53.7066827Z   test_multinomial_1d_log_prob_and_entropy (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T01:45:53.7067114Z   test_multinomial_2d (__main__.TestDistributions) ... ok (0.012s)
2022-11-23T01:45:53.7067516Z   test_multivariate_normal_log_prob (__main__.TestDistributions) ... ok (0.009s)
2022-11-23T01:45:53.7067825Z   test_multivariate_normal_moments (__main__.TestDistributions) ... ok (0.026s)
2022-11-23T01:45:53.7068139Z   test_multivariate_normal_properties (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7068437Z   test_multivariate_normal_sample (__main__.TestDistributions) ... ok (0.102s)
2022-11-23T01:45:53.7068740Z   test_multivariate_normal_shape (__main__.TestDistributions) ... ok (0.068s)
2022-11-23T01:45:53.7069072Z   test_multivariate_normal_stable_with_precision_matrix (__main__.TestDistributions) ... ok (0.001s)
2022-11-23T01:45:53.7069421Z   test_negative_binomial (__main__.TestDistributions) ... ok (0.019s)
2022-11-23T01:45:53.7069714Z   test_negative_binomial_log_prob (__main__.TestDistributions) ... ok (0.054s)
2022-11-23T01:45:53.7070038Z   test_negative_binomial_log_prob_vectorized_count (__main__.TestDistributions) ... ok (0.004s)
2022-11-23T01:45:53.7070337Z   test_normal (__main__.TestDistributions) ... ok (0.017s)
2022-11-23T01:45:53.7070588Z   test_normal_sample (__main__.TestDistributions) ... ok (0.275s)
2022-11-23T01:45:53.7070872Z   test_one_hot_categorical_1d (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T01:45:53.7071165Z   test_one_hot_categorical_2d (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T01:45:53.7071465Z   test_one_hot_categorical_enumerate_support (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7071757Z   test_pareto (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T01:45:53.7072022Z   test_pareto_sample (__main__.TestDistributions) ... ok (0.276s)
2022-11-23T01:45:53.7072307Z   test_poisson_forward_ad (__main__.TestDistributions) ... ok (0.001s)
2022-11-23T01:45:53.7072599Z   test_poisson_gpu_sample (__main__.TestDistributions) ... skip: CUDA not found (0.000s)
2022-11-23T01:45:53.7072902Z   test_poisson_log_prob (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T01:45:53.7073181Z   test_poisson_sample (__main__.TestDistributions) ... ok (0.006s)
2022-11-23T01:45:53.7073445Z   test_poisson_shape (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7073723Z   test_relaxed_bernoulli (__main__.TestDistributions) ... ok (0.016s)
2022-11-23T01:45:53.7074020Z   test_relaxed_one_hot_categorical_1d (__main__.TestDistributions) ... ok (0.009s)
2022-11-23T01:45:53.7074332Z   test_relaxed_one_hot_categorical_2d (__main__.TestDistributions) ... ok (0.015s)
2022-11-23T01:45:53.7074697Z   test_repr (__main__.TestDistributions) ... ok (0.020s)
2022-11-23T01:45:53.7100672Z   test_rounded_relaxed_bernoulli (__main__.TestDistributions) ... ok (0.021s)
2022-11-23T01:45:53.7101592Z   test_rsample_requires_grad (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7101966Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7102168Z ok (0.018s)
2022-11-23T01:45:53.7102417Z   test_sample_detached (__main__.TestDistributions) ... ok (0.019s)
2022-11-23T01:45:53.7102682Z   test_studentT (__main__.TestDistributions) ... ok (0.007s)
2022-11-23T01:45:53.7102957Z   test_studentT_log_prob (__main__.TestDistributions) ... ok (0.094s)
2022-11-23T01:45:53.7103245Z   test_studentT_sample (__main__.TestDistributions) ... ok (1.133s)
2022-11-23T01:45:53.7103521Z   test_support_attributes (__main__.TestDistributions) ... ok (0.024s)
2022-11-23T01:45:53.7103799Z   test_uniform (__main__.TestDistributions) ... ok (0.012s)
2022-11-23T01:45:53.7104087Z   test_valid_parameter_broadcasting (__main__.TestDistributions) ... ok (0.028s)
2022-11-23T01:45:53.7104380Z   test_vonmises_logprob (__main__.TestDistributions) ... ok (0.017s)
2022-11-23T01:45:53.7104661Z   test_vonmises_sample (__main__.TestDistributions) ... ok (7.121s)
2022-11-23T01:45:53.7105383Z   test_wishart_log_prob (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.
2022-11-23T01:45:53.7106011Z   warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.")
2022-11-23T01:45:53.7106484Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7106792Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7106993Z ok (0.077s)
2022-11-23T01:45:53.7107214Z   test_wishart_moments (__main__.TestDistributions) ... ok (1.515s)
2022-11-23T01:45:53.7107487Z   test_wishart_properties (__main__.TestDistributions) ... ok (0.003s)
2022-11-23T01:45:53.7107931Z   test_wishart_sample (__main__.TestDistributions) ... ok (0.295s)
2022-11-23T01:45:53.7108446Z   test_wishart_shape (__main__.TestDistributions) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7108807Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7109202Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7109514Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7109923Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7110221Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7110626Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7110936Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7111337Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7111634Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7112029Z /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7112335Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7112520Z ok (0.130s)
2022-11-23T01:45:53.7112767Z   test_wishart_stable_with_precision_matrix (__main__.TestDistributions) ... ok (0.002s)
2022-11-23T01:45:53.7113097Z   test_zero_excluded_binomial (__main__.TestDistributions) ... skip: CUDA not found (0.001s)
2022-11-23T01:45:53.7149919Z   test_cat_event_dim (__main__.TestFunctors) ... ok (0.001s)
2022-11-23T01:45:53.7150356Z   test_cat_transform (__main__.TestFunctors) ... ok (0.003s)
2022-11-23T01:45:53.7150812Z   test_cat_transform_non_uniform (__main__.TestFunctors) ... ok (0.003s)
2022-11-23T01:45:53.7151333Z   test_stack_transform (__main__.TestFunctors) ... ok (0.003s)
2022-11-23T01:45:53.7152133Z   test_cdf (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:253: UserWarning: Singular sample detected.
2022-11-23T01:45:53.7155373Z   warnings.warn("Singular sample detected.")
2022-11-23T01:45:53.7155764Z ok (2.528s)
2022-11-23T01:45:53.7156494Z   test_entropy (__main__.TestJit) ... /opt/conda/lib/python3.10/site-packages/torch/distributions/wishart.py:107: UserWarning: Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.
2022-11-23T01:45:53.7157044Z   warnings.warn("Low df values detected. Singular samples are highly likely to occur for ndim - 1 < df < ndim.")
2022-11-23T01:45:53.7157306Z ok (3.416s)
2022-11-23T01:45:53.7157517Z   test_enumerate_support (__main__.TestJit) ... ok (0.224s)
2022-11-23T01:45:53.7157747Z   test_log_prob (__main__.TestJit) ... ok (5.801s)
2022-11-23T01:45:53.7157976Z   test_mean (__main__.TestJit) ... ok (1.555s)
2022-11-23T01:45:53.7158203Z   test_rsample (__main__.TestJit) ... ok (0.365s)
2022-11-23T01:45:53.7158457Z   test_sample (__main__.TestJit) ... ok (0.510s)
2022-11-23T01:45:53.7158673Z   test_variance (__main__.TestJit) ... ok (2.655s)
2022-11-23T01:45:53.7158928Z   test_entropy_exponential_family (__main__.TestKL) ... ok (0.040s)
2022-11-23T01:45:53.7159292Z   test_entropy_monte_carlo (__main__.TestKL) ... ok (2.820s)
2022-11-23T01:45:53.7159526Z   test_kl_edgecases (__main__.TestKL) ... ok (0.012s)
2022-11-23T01:45:53.7159777Z   test_kl_exponential_family (__main__.TestKL) ... ok (0.022s)
2022-11-23T01:45:53.7160026Z   test_kl_infinite (__main__.TestKL) ... ok (0.016s)
2022-11-23T01:45:53.7160283Z   test_kl_lowrank_multivariate_normal (__main__.TestKL) ... ok (0.022s)
2022-11-23T01:45:53.7160560Z   test_kl_lowrank_multivariate_normal_batched (__main__.TestKL) ... ok (0.017s)
2022-11-23T01:45:53.7160830Z   test_kl_monte_carlo (__main__.TestKL) ... ok (0.758s)
2022-11-23T01:45:53.7161125Z   test_kl_multivariate_normal (__main__.TestKL) ... ok (0.030s)
2022-11-23T01:45:53.7161383Z   test_kl_multivariate_normal_batched (__main__.TestKL) ... ok (0.015s)
2022-11-23T01:45:53.7161681Z   test_kl_multivariate_normal_batched_broadcasted (__main__.TestKL) ... ok (0.015s)
2022-11-23T01:45:53.7161952Z   test_kl_shape (__main__.TestKL) ... ok (0.048s)
2022-11-23T01:45:53.7162178Z   test_kl_transformed (__main__.TestKL) ... ok (0.011s)
2022-11-23T01:45:53.7162475Z   test_lazy_logits_initialization (__main__.TestLazyLogitsInitialization) ... ok (0.004s)
2022-11-23T01:45:53.7162827Z   test_lazy_probs_initialization (__main__.TestLazyLogitsInitialization) ... ok (0.002s)
2022-11-23T01:45:53.7163156Z   test_bernoulli_gradient (__main__.TestNumericalStability) ... ok (0.015s)
2022-11-23T01:45:53.7163464Z   test_bernoulli_with_logits_overflow (__main__.TestNumericalStability) ... ok (0.003s)
2022-11-23T01:45:53.7163794Z   test_bernoulli_with_logits_underflow (__main__.TestNumericalStability) ... ok (0.003s)
2022-11-23T01:45:53.7164115Z   test_categorical_log_prob (__main__.TestNumericalStability) ... ok (0.002s)
2022-11-23T01:45:53.7164438Z   test_categorical_log_prob_with_logits (__main__.TestNumericalStability) ... ok (0.002s)
2022-11-23T01:45:53.7164759Z   test_continuous_bernoulli_gradient (__main__.TestNumericalStability) ... ok (0.029s)
2022-11-23T01:45:53.7165100Z   test_continuous_bernoulli_with_logits_overflow (__main__.TestNumericalStability) ... ok (0.004s)
2022-11-23T01:45:53.7165455Z   test_continuous_bernoulli_with_logits_underflow (__main__.TestNumericalStability) ... ok (0.004s)
2022-11-23T01:45:53.7165776Z   test_multinomial_log_prob (__main__.TestNumericalStability) ... ok (0.002s)
2022-11-23T01:45:53.7166095Z   test_multinomial_log_prob_with_logits (__main__.TestNumericalStability) ... ok (0.003s)
2022-11-23T01:45:53.7166386Z   test_beta_wrt_alpha (__main__.TestRsample) ... ok (0.044s)
2022-11-23T01:45:53.7166641Z   test_beta_wrt_beta (__main__.TestRsample) ... ok (0.044s)
2022-11-23T01:45:53.7166870Z   test_chi2 (__main__.TestRsample) ... ok (0.024s)
2022-11-23T01:45:53.7167135Z   test_dirichlet_multivariate (__main__.TestRsample) ... ok (0.511s)
2022-11-23T01:45:53.7167414Z   test_dirichlet_on_diagonal (__main__.TestRsample) ... ok (0.046s)
2022-11-23T01:45:53.7167679Z   test_dirichlet_tangent_field (__main__.TestRsample) ... ok (0.085s)
2022-11-23T01:45:53.7167936Z   test_gamma (__main__.TestRsample) ... ok (0.024s)
2022-11-23T01:45:53.7168179Z   test_invalid (__main__.TestValidation) ... ok (0.020s)
2022-11-23T01:45:53.7168433Z   test_invalid_log_probs_arg (__main__.TestValidation) ... ok (0.281s)
2022-11-23T01:45:53.7168692Z   test_valid (__main__.TestValidation) ... ok (0.013s)
2022-11-23T01:45:53.7168971Z   test_warning_unimplemented_constraints (__main__.TestValidation) ... ok (0.008s)
2022-11-23T01:45:53.7169146Z 
2022-11-23T01:45:53.7169352Z ----------------------------------------------------------------------
2022-11-23T01:45:53.7169583Z Ran 219 tests in 41.263s
2022-11-23T01:45:53.7169700Z 
2022-11-23T01:45:53.7169771Z OK (skipped=5)
2022-11-23T01:45:53.7169876Z 
2022-11-23T01:45:53.7169958Z Generating XML reports...
2022-11-23T01:45:53.7170394Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestAgainstScipy-20221123014511.xml
2022-11-23T01:45:53.7170997Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestConstraints-20221123014511.xml
2022-11-23T01:45:53.7171582Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributionShapes-20221123014511.xml
2022-11-23T01:45:53.7172158Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestDistributions-20221123014511.xml
2022-11-23T01:45:53.7172690Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestFunctors-20221123014511.xml
2022-11-23T01:45:53.7173216Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestJit-20221123014511.xml
2022-11-23T01:45:53.7173767Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestKL-20221123014511.xml
2022-11-23T01:45:53.7174349Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestLazyLogitsInitialization-20221123014511.xml
2022-11-23T01:45:53.7174944Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestNumericalStability-20221123014511.xml
2022-11-23T01:45:53.7175498Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestRsample-20221123014511.xml
2022-11-23T01:45:53.7176034Z Generated XML report: test-reports/python-unittest/distributions.test_distributions/TEST-TestValidation-20221123014511.xml
2022-11-23T01:45:53.7176277Z 
2022-11-23T01:45:53.7176825Z ##[endgroup]
2022-11-23T01:45:53.7177268Z FINISHED PRINTING LOG FILE of distributions/test_distributions (/var/lib/jenkins/workspace/test/test-reports/distributions-test_distributions_lgaf993r)
2022-11-23T01:45:53.7177528Z 
2022-11-23T01:45:53.7177726Z Running inductor/test_torchinductor_opinfo ... [2022-11-23 01:45:53.696790]
2022-11-23T01:45:55.2926032Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:45:55.3043848Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:45:55.3647559Z Ignoring disabled issues:  []
2022-11-23T01:45:55.3716663Z Ignoring disabled issues:  []
2022-11-23T01:45:55.4228807Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:45:55.422493]
2022-11-23T01:45:55.4230002Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:45:55.422514]
2022-11-23T01:46:04.7419754Z 
2022-11-23T01:46:04.7420401Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2022-11-23T01:46:04.7421705Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_wme5zl0f)
2022-11-23T01:46:04.7422735Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:46:04.7423768Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-e43b32f2797c8092.xml
2022-11-23T01:46:04.7424539Z ============================= test session starts ==============================
2022-11-23T01:46:04.7425379Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:46:04.7425869Z cachedir: .pytest_cache
2022-11-23T01:46:04.7426709Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:46:04.7427460Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:46:04.7428275Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:46:04.7429893Z collecting ... /var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2022-11-23T01:46:04.7430745Z collected 0 items
2022-11-23T01:46:04.7431167Z Running 0 items in this shard: 
2022-11-23T01:46:04.7431429Z 
2022-11-23T01:46:04.7431612Z =============================== warnings summary ===============================
2022-11-23T01:46:04.7432380Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:46:04.7433456Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:46:04.7434289Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:46:04.7434588Z 
2022-11-23T01:46:04.7435054Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:46:04.7436203Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-e43b32f2797c8092.xml -
2022-11-23T01:46:04.7437063Z ============================== 1 warning in 0.25s ==============================
2022-11-23T01:46:04.7437683Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:46:04.7438022Z 
2022-11-23T01:46:04.7438522Z ##[endgroup]
2022-11-23T01:46:04.7439446Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_wme5zl0f)
2022-11-23T01:46:04.7440011Z 
2022-11-23T01:46:09.7965653Z 
2022-11-23T01:46:09.7966415Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2022-11-23T01:46:09.7982476Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_snhqi0i6)
2022-11-23T01:46:09.7983124Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:46:09.7983652Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-0890886772956de0.xml
2022-11-23T01:46:09.7984020Z ============================= test session starts ==============================
2022-11-23T01:46:09.7984370Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:46:09.7984630Z cachedir: .pytest_cache
2022-11-23T01:46:09.7985043Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:46:09.7985401Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:46:09.7985818Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:46:09.7986508Z collecting ... /var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2022-11-23T01:46:09.7986918Z collected 0 items
2022-11-23T01:46:09.7987110Z Running 0 items in this shard: 
2022-11-23T01:46:09.7987233Z 
2022-11-23T01:46:09.7987335Z =============================== warnings summary ===============================
2022-11-23T01:46:09.7987684Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:46:09.7988207Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:46:09.7988566Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:46:09.7988685Z 
2022-11-23T01:46:09.7988914Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:46:09.7989665Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-0890886772956de0.xml -
2022-11-23T01:46:09.7990058Z ============================== 1 warning in 0.03s ==============================
2022-11-23T01:46:09.7990364Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:46:09.7990545Z 
2022-11-23T01:46:09.7990833Z ##[endgroup]
2022-11-23T01:46:09.7991286Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_snhqi0i6)
2022-11-23T01:46:09.7991542Z 
2022-11-23T01:46:10.1655940Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:10.165211]
2022-11-23T01:46:19.1629495Z 
2022-11-23T01:46:19.1629917Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2022-11-23T01:46:19.1630903Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_vo43owbl)
2022-11-23T01:46:19.1631548Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:46:19.1632303Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-42a9206f13df8eab.xml
2022-11-23T01:46:19.1632759Z ============================= test session starts ==============================
2022-11-23T01:46:19.1633125Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:46:19.1633390Z cachedir: .pytest_cache
2022-11-23T01:46:19.1633804Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:46:19.1634149Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:46:19.1634638Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:46:19.1635399Z collecting ... /var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2022-11-23T01:46:19.1635867Z collected 0 items
2022-11-23T01:46:19.1636145Z Running 0 items in this shard: 
2022-11-23T01:46:19.1636270Z 
2022-11-23T01:46:19.1636435Z =============================== warnings summary ===============================
2022-11-23T01:46:19.1636794Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:46:19.1637376Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:46:19.1637807Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:46:19.1638002Z 
2022-11-23T01:46:19.1638346Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:46:19.1638925Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-42a9206f13df8eab.xml -
2022-11-23T01:46:19.1639304Z ============================== 1 warning in 0.03s ==============================
2022-11-23T01:46:19.1639605Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:46:19.1639799Z 
2022-11-23T01:46:19.1640047Z ##[endgroup]
2022-11-23T01:46:19.1640490Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_vo43owbl)
2022-11-23T01:46:19.1640746Z 
2022-11-23T01:46:19.1640917Z Running nn/test_pooling ... [2022-11-23 01:46:19.163462]
2022-11-23T01:46:19.1641566Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_pooling.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:19.163691]
2022-11-23T01:46:21.6153480Z 
2022-11-23T01:46:21.6154166Z Expand the folded group to see the log file of nn/test_pooling
2022-11-23T01:46:21.6155419Z ##[group]PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling_3mi01jfz)
2022-11-23T01:46:21.6155787Z 
2022-11-23T01:46:21.6155869Z Running tests...
2022-11-23T01:46:21.6156280Z ----------------------------------------------------------------------
2022-11-23T01:46:21.6156715Z Test results will be stored in test-reports/python-unittest/nn.test_pooling
2022-11-23T01:46:21.6157243Z   test_avg_pool1d_ceil_mode (__main__.TestAvgPool) ... ok (0.002s)
2022-11-23T01:46:21.6157616Z   test_avg_pool2d_ceil_mode (__main__.TestAvgPool) ... ok (0.001s)
2022-11-23T01:46:21.6157954Z   test_avg_pool3d_ceil_mode (__main__.TestAvgPool) ... ok (0.001s)
2022-11-23T01:46:21.6158220Z   test_doubletensor_avg_pool2d (__main__.TestAvgPool) ... ok (0.008s)
2022-11-23T01:46:21.6158538Z   test_doubletensor_avg_pool2d_with_divisor (__main__.TestAvgPool) ... ok (0.005s)
2022-11-23T01:46:21.6158887Z   test_doubletensor_avg_pool3d (__main__.TestAvgPool) ... ok (0.048s)
2022-11-23T01:46:21.6159187Z   test_doubletensor_avg_pool3d_with_divisor (__main__.TestAvgPool) ... ok (0.164s)
2022-11-23T01:46:21.6159518Z   test_MaxUnpool2d_output_size (__main__.TestPoolingNN) ... ok (0.008s)
2022-11-23T01:46:21.6159814Z   test_adaptive_pooling_avg_nhwc (__main__.TestPoolingNN) ... ok (0.003s)
2022-11-23T01:46:21.6160192Z   test_adaptive_pooling_avg_nhwc_launch_config_backward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:46:21.6160581Z   test_adaptive_pooling_avg_nhwc_launch_config_forward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:46:21.6160971Z   test_adaptive_pooling_avg_nhwc_non_contiguous (__main__.TestPoolingNN) ... ok (0.002s)
2022-11-23T01:46:21.6161292Z   test_adaptive_pooling_bfloat16 (__main__.TestPoolingNN) ... ok (0.006s)
2022-11-23T01:46:21.6161587Z   test_adaptive_pooling_input_size (__main__.TestPoolingNN) ... ok (0.001s)
2022-11-23T01:46:21.6161923Z   test_adaptive_pooling_size_none (__main__.TestPoolingNN) ... ok (0.002s)
2022-11-23T01:46:21.6162219Z   test_adaptive_pooling_size_overflow (__main__.TestPoolingNN) ... ok (0.010s)
2022-11-23T01:46:21.6162529Z   test_max_unpool (__main__.TestPoolingNN) ... ok (0.225s)
2022-11-23T01:46:21.6162797Z   test_max_unpool2d_nhwc_cpu (__main__.TestPoolingNN) ... ok (0.002s)
2022-11-23T01:46:21.6162956Z 
2022-11-23T01:46:21.6163164Z ----------------------------------------------------------------------
2022-11-23T01:46:21.6163455Z Ran 18 tests in 0.491s
2022-11-23T01:46:21.6163570Z 
2022-11-23T01:46:21.6163642Z OK (skipped=2)
2022-11-23T01:46:21.6163735Z 
2022-11-23T01:46:21.6163820Z Generating XML reports...
2022-11-23T01:46:21.6164272Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestAvgPool-20221123014620.xml
2022-11-23T01:46:21.6164775Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNN-20221123014620.xml
2022-11-23T01:46:21.6165048Z 
2022-11-23T01:46:21.6165317Z ##[endgroup]
2022-11-23T01:46:21.6165757Z FINISHED PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling_3mi01jfz)
2022-11-23T01:46:21.6165973Z 
2022-11-23T01:46:21.6166137Z Running test_autograd ... [2022-11-23 01:46:21.615394]
2022-11-23T01:46:21.6166651Z Executing ['/opt/conda/bin/python', '-bb', 'test_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:21.615630]
2022-11-23T01:46:41.2653008Z 
2022-11-23T01:46:41.2653540Z Expand the folded group to see the log file of test_autograd
2022-11-23T01:46:41.2654329Z ##[group]PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_4lf_twju)
2022-11-23T01:46:41.2654671Z 
2022-11-23T01:46:41.2654803Z Running tests...
2022-11-23T01:46:41.2655622Z ----------------------------------------------------------------------
2022-11-23T01:46:41.2656237Z Test results will be stored in test-reports/python-unittest/test_autograd
2022-11-23T01:46:41.2656966Z   test_backward_out_of_context (__main__.TestAllowMutationOnSaved) ... ok (0.003s)
2022-11-23T01:46:41.2657516Z   test_basic (__main__.TestAllowMutationOnSaved) ... ok (0.008s)
2022-11-23T01:46:41.2658048Z   test_disallow_nesting (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2022-11-23T01:46:41.2658459Z   test_double_backward (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T01:46:41.2658961Z   test_save_base_and_modify_view (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T01:46:41.2659599Z   test_save_view_modify_base (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T01:46:41.2660001Z   test_saved_but_not_anymore (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T01:46:41.2660328Z   test_saved_same_tensor_different_versions (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2022-11-23T01:46:41.2660677Z   test_saved_same_tensor_many_times (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2022-11-23T01:46:41.2660987Z   test_views (__main__.TestAllowMutationOnSaved) ... ok (0.007s)
2022-11-23T01:46:41.2661269Z   test_with_math_views (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T01:46:41.2661577Z   test_with_out_variant (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2022-11-23T01:46:41.2661922Z   test_access_saved_tensor_twice_without_recomputation_works (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2663368Z   test_accumulate_grad (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.)
2022-11-23T01:46:41.2664268Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T01:46:41.2664539Z ok (0.002s)
2022-11-23T01:46:41.2664844Z   test_accumulate_grad_tensor_reference (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2665223Z   test_accumulate_grad_with_zero_numel_grad (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2665759Z   test_anomaly_assign_parent_cleanup (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:3823: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging.
2022-11-23T01:46:41.2666148Z   with detect_anomaly():
2022-11-23T01:46:41.2666327Z ok (0.001s)
2022-11-23T01:46:41.2666548Z   test_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2666827Z   test_anomaly_grad_warnings (__main__.TestAutograd) ... ok (0.013s)
2022-11-23T01:46:41.2667100Z   test_anomaly_mode_no_check_nan (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2667378Z   test_attribute_deletion (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2667663Z   test_autograd_inplace_view_of_view (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2667956Z   test_autograd_inplace_views_creation_meta (__main__.TestAutograd) ... ok (0.226s)
2022-11-23T01:46:41.2668267Z   test_autograd_inplace_views_cross_dtype (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2668573Z   test_autograd_multiple_views_python (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2668887Z   test_autograd_python_custom_function_inplace (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T01:46:41.2669180Z   test_autograd_simple_views_python (__main__.TestAutograd) ... ok (0.088s)
2022-11-23T01:46:41.2669468Z   test_autograd_views_codegen (__main__.TestAutograd) ... ok (0.018s)
2022-11-23T01:46:41.2669819Z   test_backward (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2670068Z   test_backward_badcalls (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2670336Z   test_backward_copy (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2670614Z   test_backward_create_graph_warns (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2670884Z   test_backward_no_grad (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2671191Z   test_backward_twice_retained_graph_with_saved_values (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2671538Z   test_backward_twice_retained_graph_without_saved_values (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2671895Z   test_backward_twice_with_saved_values (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2672188Z   test_backward_twice_without_saved_values (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2672478Z   test_backward_with_inputs (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2672765Z   test_backward_with_nonleaf_inputs (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2673526Z   test_calculate_shape_util (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/nested/__init__.py:58: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:46:41.2674078Z   return torch._nested_tensor_from_tensor_list(tensor_list, dtype, None, device, None)
2022-11-23T01:46:41.2674319Z ok (0.002s)
2022-11-23T01:46:41.2674617Z   test_callback_adds_callback (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2674897Z   test_cant_create_saved_tensors (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2675195Z   test_checkpoint_valid_reset_on_error (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2675551Z   test_checkpointing (__main__.TestAutograd) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:46:41.2675905Z   test_checkpointing_non_reentrant_autocast_cpu (__main__.TestAutograd)
2022-11-23T01:46:41.2676298Z Test that autocast args such as the dtype are preserved during non-reentrant ... ok (0.002s)
2022-11-23T01:46:41.2676622Z   test_checkpointing_non_reentrant_autocast_gpu (__main__.TestAutograd)
2022-11-23T01:46:41.2676975Z Test that autocast args/kwargs such as the dtype are preserved during ... skip: Test requires CUDA bf16 support (0.000s)
2022-11-23T01:46:41.2677321Z   test_checkpointing_without_reentrant_arbitrary_input_output (__main__.TestAutograd)
2022-11-23T01:46:41.2677658Z Ensures checkpointing without reentrant autograd works with functions ... ok (0.002s)
2022-11-23T01:46:41.2677978Z   test_checkpointing_without_reentrant_correct_grad (__main__.TestAutograd)
2022-11-23T01:46:41.2678539Z Verifies that correct gradients are calculated for checkpoint ... ok (0.002s)
2022-11-23T01:46:41.2678861Z   test_checkpointing_without_reentrant_custom_function_works (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2679189Z   test_checkpointing_without_reentrant_dataparallel (__main__.TestAutograd)
2022-11-23T01:46:41.2679514Z Verifies gradient correctness when checkpoint without reentrant autograd ... ok (0.003s)
2022-11-23T01:46:41.2679871Z   test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2680236Z   test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2680590Z   test_checkpointing_without_reentrant_input_requires_grad_False (__main__.TestAutograd)
2022-11-23T01:46:41.2680973Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:46:41.2681332Z   test_checkpointing_without_reentrant_input_requires_grad_True (__main__.TestAutograd)
2022-11-23T01:46:41.2681744Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:46:41.2682144Z   test_checkpointing_without_reentrant_memory_savings (__main__.TestAutograd) ... skip: Test requires CUDA (0.001s)
2022-11-23T01:46:41.2682493Z   test_checkpointing_without_reentrant_parameter_used_in_an_out (__main__.TestAutograd)
2022-11-23T01:46:41.2682799Z Ensures that gradient hooks are only called once per tensor. ... ok (0.001s)
2022-11-23T01:46:41.2683111Z   test_create_graph_and_full_backward_hook_cycle (__main__.TestAutograd) ... ok (0.491s)
2022-11-23T01:46:41.2683423Z   test_current_graph_task_execution_order (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T01:46:41.2683749Z   test_current_graph_task_id (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2684020Z   test_custom_autograd_no_early_free (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T01:46:41.2684318Z   test_custom_autograd_repeated_grad_grad (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2684604Z   test_custom_function_cycle (__main__.TestAutograd) ... ok (0.163s)
2022-11-23T01:46:41.2684865Z   test_custom_function_error (__main__.TestAutograd) ... ok (0.068s)
2022-11-23T01:46:41.2685145Z   test_custom_function_exception (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2685443Z   test_custom_function_forward_mode_forward_is_no_op (__main__.TestAutograd) ... ok (0.022s)
2022-11-23T01:46:41.2685763Z   test_custom_function_forward_mode_inplace_checks (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2686086Z   test_custom_function_forward_mode_non_tensor_before_tensor_args (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2686421Z   test_custom_function_forward_mode_view_checks (__main__.TestAutograd) ... ok (0.013s)
2022-11-23T01:46:41.2686736Z   test_custom_function_forward_mode_wrong_formula (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2687027Z   test_custom_function_local_inplace (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2687315Z   test_custom_function_no_tensors (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2687616Z   test_custom_function_non_tensor_inputs_outputs (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T01:46:41.2687927Z   test_custom_function_return_view_in_nograd (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2688217Z   test_custom_function_save_for_forward (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2688513Z   test_custom_function_saved_tensors (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T01:46:41.2688788Z   test_deep_reentrant (__main__.TestAutograd) ... ok (0.186s)
2022-11-23T01:46:41.2689075Z   test_default_saved_variable_hooks_double_backward (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2689357Z   test_dep_nograd (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2689622Z   test_dependent_backward (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2689878Z   test_detach (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2690100Z   test_detach_base (__main__.TestAutograd)
2022-11-23T01:46:41.2690339Z detaching base does not detach view ... ok (0.001s)
2022-11-23T01:46:41.2690618Z   test_detach_then_inplace_raises_in_autograd (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T01:46:41.2691152Z   test_diagonal_expanded_v (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:2277: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:46:41.2691633Z   v_expanded = torch.tensor(value).expand(10)
2022-11-23T01:46:41.2691837Z ok (0.001s)
2022-11-23T01:46:41.2692034Z   test_dir (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2692287Z   test_disabling_saved_tensor_hooks (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2692586Z   test_disabling_saved_tensor_hooks_nested (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2692920Z   test_dont_materialize_grads (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2693203Z   test_duplicate_backward_root (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2693499Z   test_first_grad_fn_access_in_no_grad_mode (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2693769Z   test_free_deep_graph (__main__.TestAutograd) ... ok (1.779s)
2022-11-23T01:46:41.2694047Z   test_free_deep_graph_complicated (__main__.TestAutograd) ... ok (1.201s)
2022-11-23T01:46:41.2694337Z   test_free_deep_graph_pyfunction (__main__.TestAutograd) ... ok (1.214s)
2022-11-23T01:46:41.2694619Z   test_full_backward_hook_double_backward (__main__.TestAutograd) ... ok (0.067s)
2022-11-23T01:46:41.2694925Z   test_function (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2695188Z   test_function_returns_input (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2695481Z   test_function_returns_undefined_tensor (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2695741Z   test_gc_in_destructor (__main__.TestAutograd)
2022-11-23T01:46:41.2696031Z Previously, if a Function destructor triggered a garbage collection, ... ok (0.786s)
2022-11-23T01:46:41.2696312Z   test_grad (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2696694Z   test_grad_badcalls (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2696960Z   test_grad_batched_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2697232Z   test_grad_empty_inputs (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2697494Z   test_grad_fn_attr_bindings (__main__.TestAutograd) ... ok (0.021s)
2022-11-23T01:46:41.2697775Z   test_grad_fn_badcalls (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2698045Z   test_grad_fn_prehooks (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2698337Z   test_grad_fn_prehooks_multiple_outputs (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2698625Z   test_grad_fn_prehooks_remove_hooks (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2698924Z   test_grad_mode_restored_reentrant (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2700159Z   test_grad_nonleaf (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:601: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T01:46:41.2700914Z   self.assertIsNone(x.grad)
2022-11-23T01:46:41.2701088Z ok (0.003s)
2022-11-23T01:46:41.2701321Z   test_grad_nonleaf_many_outputs (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2702554Z   test_grad_nonleaf_register_hook (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:653: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T01:46:41.2703322Z   self.assertIsNone(x_list[0].grad)
2022-11-23T01:46:41.2704488Z /var/lib/jenkins/workspace/test/test_autograd.py:660: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T01:46:41.2705203Z   self.assertIsNone(x_list[i].grad)
2022-11-23T01:46:41.2705383Z ok (0.003s)
2022-11-23T01:46:41.2705610Z   test_grad_unreachable (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2705896Z   test_grad_unreachable_discovery (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2706203Z   test_gradcheck_backward_mul_by_grad_output (__main__.TestAutograd) ... ok (0.021s)
2022-11-23T01:46:41.2706544Z   test_gradcheck_check_batched_grad (__main__.TestAutograd) ... ok (0.049s)
2022-11-23T01:46:41.2706845Z   test_gradcheck_check_forward_or_backward_only (__main__.TestAutograd)
2022-11-23T01:46:41.2707162Z Depending on settings for check_forward_ad and check_backward_ad, the ... ok (0.019s)
2022-11-23T01:46:41.2707965Z   test_gradcheck_check_no_differentiable_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:46:41.2708455Z   warnings.warn(
2022-11-23T01:46:41.2708623Z ok (0.003s)
2022-11-23T01:46:41.2708863Z   test_gradcheck_complex_non_complex_outputs (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T01:46:41.2709614Z   test_gradcheck_custom_error (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:46:41.2710085Z   warnings.warn(
2022-11-23T01:46:41.2710255Z ok (0.014s)
2022-11-23T01:46:41.2710496Z   test_gradcheck_dense_and_sparse_inputs (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2710775Z   test_gradcheck_forward_ad (__main__.TestAutograd) ... ok (0.108s)
2022-11-23T01:46:41.2711067Z   test_gradcheck_forward_ad_batched_grad (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T01:46:41.2711381Z   test_gradcheck_forward_ad_respects_requires_grad (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2711700Z   test_gradcheck_forward_ad_runs_with_no_requires_grad (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T01:46:41.2712707Z   test_gradcheck_get_analytical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:580: UserWarning: get_analytical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new
2022-11-23T01:46:41.2713469Z   warnings.warn("get_analytical_jacobian was part of PyTorch's private API and not "
2022-11-23T01:46:41.2713713Z ok (0.010s)
2022-11-23T01:46:41.2714701Z   test_gradcheck_get_numerical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:173: UserWarning: get_numerical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new
2022-11-23T01:46:41.2715466Z   warnings.warn("get_numerical_jacobian was part of PyTorch's private API and not "
2022-11-23T01:46:41.2715699Z ok (0.008s)
2022-11-23T01:46:41.2716439Z   test_gradcheck_jacobian_mismatch (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:46:41.2716919Z   warnings.warn(
2022-11-23T01:46:41.2717077Z ok (0.038s)
2022-11-23T01:46:41.2717782Z   test_gradcheck_multiple_mkldnn_inputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:46:41.2718288Z   warnings.warn(
2022-11-23T01:46:41.2718454Z ok (0.016s)
2022-11-23T01:46:41.2718677Z   test_gradcheck_nondeterministic (__main__.TestAutograd) ... ok (0.067s)
2022-11-23T01:46:41.2718999Z   test_gradcheck_output_shape_or_dtype_depend_on_values (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2719311Z   test_gradcheck_single_input (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T01:46:41.2719945Z   test_gradcheck_sparse_csr_input (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:4081: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:46:41.2720589Z   gradcheck(fn, torch.rand(2, 2, dtype=torch.double).to_sparse_csr().requires_grad_(True), check_sparse_nnz=True,
2022-11-23T01:46:41.2720869Z expected failure (0.005s)
2022-11-23T01:46:41.2721115Z   test_gradcheck_sparse_input (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2721864Z   test_gradcheck_test_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:46:41.2722323Z   warnings.warn(
2022-11-23T01:46:41.2722491Z ok (0.002s)
2022-11-23T01:46:41.2722719Z   test_gradcheck_undefined_grad (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T01:46:41.2723014Z   test_gradcheck_validates_input_mkldnn (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2723299Z   test_gradcheck_validates_inputs (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2723579Z   test_graph_save_on_cpu (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T01:46:41.2723875Z   test_graph_save_on_cpu_cuda (__main__.TestAutograd) ... skip: test requires CUDA (0.001s)
2022-11-23T01:46:41.2724157Z   test_hessian_vector (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2724411Z   test_hook_none (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2724664Z   test_hook_with_no_name (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2724904Z   test_hooks (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2725145Z   test_hooks_cpp (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2725423Z   test_index_backward_does_not_save_tensor (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2725699Z   test_indexing (__main__.TestAutograd) ... ok (0.018s)
2022-11-23T01:46:41.2725947Z   test_indexing_duplicates (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2726204Z   test_inplace (__main__.TestAutograd) ... ok (0.023s)
2022-11-23T01:46:41.2726468Z   test_inplace_not_requires_grad (__main__.TestAutograd) ... ok (0.010s)
2022-11-23T01:46:41.2726739Z   test_inplace_on_view_backward (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2727025Z   test_inplace_on_view_leaf_errors (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2727314Z   test_inplace_on_view_saved_output (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2727589Z   test_inplace_on_view_weak_grad_fn (__main__.TestAutograd) ... ok (0.094s)
2022-11-23T01:46:41.2727895Z   test_input_buffer_accum (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2728161Z   test_integer_outputs (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2728426Z   test_invalid_gradients (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2728675Z   test_isolated_node (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2728936Z   test_leaf_assignment (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2729227Z   test_legacy_function_deprecation_exception (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2730025Z   test_lobpcg (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80338 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:46:41.2730616Z   test_mark_non_differentiable (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2730908Z   test_mark_non_differentiable_mixed (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2731198Z   test_mark_non_differentiable_none (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2731467Z   test_materialize_grads (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2731733Z   test_multi_backward (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2731999Z   test_multi_backward_no_grad (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2732265Z   test_multi_grad_hooks (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2733110Z   test_named_tensor_for_complex_views (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.)
2022-11-23T01:46:41.2733693Z   return super(Tensor, self).refine_names(names)
2022-11-23T01:46:41.2733896Z ok (0.001s)
2022-11-23T01:46:41.2734139Z   test_naughty_anomaly_access (__main__.TestAutograd) ... expected failure (0.002s)
2022-11-23T01:46:41.2734447Z   test_naughty_autograd_function_attribute_access (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T01:46:41.2734771Z   test_naughty_autograd_function_stashing_ctx (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2735069Z   test_nested_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2735351Z   test_nested_anomaly_printstack_cleanup (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2735633Z   test_next_functions (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2735882Z   test_no_grad (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2736137Z   test_no_grad_assignment (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2736389Z   test_no_grad_copy (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2737417Z   test_no_grad_copy_sparse (__main__.TestAutograd) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2327: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`.
2022-11-23T01:46:41.2737876Z   warnings.warn(
2022-11-23T01:46:41.2738037Z ok (0.006s)
2022-11-23T01:46:41.2738263Z   test_no_grad_input (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2738602Z   test_no_grad_modifies_version (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T01:46:41.2738873Z   test_no_grad_python_function (__main__.TestAutograd)
2022-11-23T01:46:41.2739122Z Python Functions should respect grad mode. ... ok (0.001s)
2022-11-23T01:46:41.2739397Z   test_no_requires_grad_inplace (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2739674Z   test_no_unnecessary_save (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2740010Z   test_no_unnecessary_unwrapping (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2740300Z   test_not_implemented_fwad (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2740576Z   test_not_implemented_grad (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T01:46:41.2740838Z   test_numpy_requires_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2741109Z   test_once_differentiable (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2741410Z   test_out_variant_raises_when_inputs_require_grad (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T01:46:41.2741741Z   test_pack_hook_with_inplace_modification_should_fail (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2742059Z   test_pickle (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T01:46:41.2742323Z   test_pow_zero_tensor_gradient (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2742596Z   test_power_function (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2743054Z   test_profiler (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:31 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2743537Z STAGE:2022-11-23 01:46:31 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2743986Z STAGE:2022-11-23 01:46:31 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2744248Z ok (0.002s)
2022-11-23T01:46:41.2744463Z   test_profiler_aggregation_fake (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2744959Z   test_profiler_aggregation_lstm (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:31 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2745445Z STAGE:2022-11-23 01:46:31 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2745889Z STAGE:2022-11-23 01:46:31 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2746080Z 
2022-11-23T01:46:41.2746205Z ===================================================================================================================================================================
2022-11-23T01:46:41.2746402Z TEST
2022-11-23T01:46:41.2746857Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2747302Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T01:46:41.2747841Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2748257Z                    aten::lstm         0.95%     212.000us         4.89%       1.089ms       1.089ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2748546Z                    aten::lstm         0.92%     206.000us         5.05%       1.125ms       1.125ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2748826Z                    aten::lstm         0.92%     204.000us         4.85%       1.081ms       1.081ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2749102Z                    aten::lstm         0.89%     198.000us         4.92%       1.097ms       1.097ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2749360Z                    aten::lstm         0.88%     197.000us         4.75%       1.058ms       1.058ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2749633Z                    aten::lstm         0.88%     196.000us         5.54%       1.234ms       1.234ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2749953Z                    aten::lstm         0.87%     193.000us         4.89%       1.089ms       1.089ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2750240Z                    aten::lstm         0.87%     193.000us         4.86%       1.082ms       1.082ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2750513Z                    aten::lstm         0.86%     192.000us         4.78%       1.065ms       1.065ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2750775Z                    aten::lstm         0.84%     187.000us         4.87%       1.084ms       1.084ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2751304Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2751655Z Self CPU time total: 22.280ms
2022-11-23T01:46:41.2751778Z 
2022-11-23T01:46:41.2752137Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2752583Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T01:46:41.2753116Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2753522Z                    aten::lstm        16.80%       3.743ms        97.69%      21.765ms       1.088ms            20      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2753818Z                   aten::addmm         9.84%       2.193ms        12.42%       2.767ms      13.835us           200                 [[80], [3, 20], [20, 80], [], []]  
2022-11-23T01:46:41.2754106Z                     aten::mul         9.21%       2.052ms         9.21%       2.052ms       3.420us           600                                [[3, 20], [3, 20]]  
2022-11-23T01:46:41.2754458Z                aten::sigmoid_         8.84%       1.970ms         8.84%       1.970ms       3.283us           600                                         [[3, 20]]  
2022-11-23T01:46:41.2754744Z            aten::unsafe_split         7.08%       1.578ms        16.81%       3.745ms      18.725us           200                                 [[3, 80], [], []]  
2022-11-23T01:46:41.2755041Z                  aten::narrow         4.90%       1.091ms         9.65%       2.150ms       2.688us           800                             [[3, 80], [], [], []]  
2022-11-23T01:46:41.2755331Z                   aten::slice         4.80%       1.070ms         4.82%       1.075ms       1.344us           800                         [[3, 80], [], [], [], []]  
2022-11-23T01:46:41.2755617Z                   aten::tanh_         3.42%     761.000us         3.42%     761.000us       3.805us           200                                         [[3, 20]]  
2022-11-23T01:46:41.2755897Z                    aten::tanh         3.26%     727.000us         3.26%     727.000us       3.635us           200                                         [[3, 20]]  
2022-11-23T01:46:41.2756166Z                  aten::linear         3.10%     691.000us        18.74%       4.175ms      20.875us           200                         [[3, 20], [80, 20], [80]]  
2022-11-23T01:46:41.2756675Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2757029Z Self CPU time total: 22.280ms
2022-11-23T01:46:41.2757151Z 
2022-11-23T01:46:41.2757275Z ===================================================================================================================================================================
2022-11-23T01:46:41.2757461Z TEST
2022-11-23T01:46:41.2757709Z ===================================================================================================================================================================
2022-11-23T01:46:41.2758011Z This report only display top-level ops statistics
2022-11-23T01:46:41.2758519Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2758951Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T01:46:41.2759527Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2759952Z                    aten::lstm         0.95%     212.000us         4.89%       1.089ms       1.089ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2760268Z                    aten::lstm         0.92%     206.000us         5.05%       1.125ms       1.125ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2760553Z                    aten::lstm         0.92%     204.000us         4.85%       1.081ms       1.081ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2760818Z                    aten::lstm         0.89%     198.000us         4.92%       1.097ms       1.097ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2761099Z                    aten::lstm         0.88%     197.000us         4.75%       1.058ms       1.058ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2761383Z                    aten::lstm         0.88%     196.000us         5.54%       1.234ms       1.234ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2761668Z                    aten::lstm         0.87%     193.000us         4.89%       1.089ms       1.089ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2761941Z                    aten::lstm         0.87%     193.000us         4.86%       1.082ms       1.082ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2762219Z                    aten::lstm         0.86%     192.000us         4.78%       1.065ms       1.065ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2762477Z                    aten::lstm         0.84%     187.000us         4.87%       1.084ms       1.084ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2762993Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2763336Z Self CPU time total: 22.280ms
2022-11-23T01:46:41.2763460Z 
2022-11-23T01:46:41.2763721Z ERROR:2022-11-23 01:46:32 15592:15592 CudaDeviceProperties.cpp:27] cudaGetDeviceCount failed with code 35
2022-11-23T01:46:41.2764026Z ===================================================================================================================================================================
2022-11-23T01:46:41.2764318Z This report only display top-level ops statistics
2022-11-23T01:46:41.2764815Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2765256Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T01:46:41.2765789Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2766219Z                    aten::lstm        16.80%       3.743ms        97.69%      21.765ms       1.088ms            20      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T01:46:41.2766508Z                   aten::randn         1.01%     225.000us         2.29%     510.000us       8.500us            60                              [[], [], [], [], []]  
2022-11-23T01:46:41.2767012Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T01:46:41.2767349Z Self CPU time total: 22.280ms
2022-11-23T01:46:41.2767459Z 
2022-11-23T01:46:41.2767603Z Total time based on python measurements:  23.944ms
2022-11-23T01:46:41.2767857Z CPU time measurement python side overhead: 7.47%
2022-11-23T01:46:41.2768063Z ok (1.267s)
2022-11-23T01:46:41.2768266Z   test_profiler_aggregation_table (__main__.TestAutograd)
2022-11-23T01:46:41.2768759Z Test if the profiling result is aggregated for `str(prof)` ... STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2769247Z STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2769681Z STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2769940Z ok (0.002s)
2022-11-23T01:46:41.2770172Z   test_profiler_function_event_avg (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2770662Z   test_profiler_propagation (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2771130Z STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2771571Z STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2771829Z ok (0.047s)
2022-11-23T01:46:41.2772575Z   test_profiler_seq_nr (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/66893 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:46:41.2773305Z   test_profiler_shapes (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2773778Z STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2774220Z STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2774417Z 
2022-11-23T01:46:41.2774752Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T01:46:41.2775169Z                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                             Input Shapes  
2022-11-23T01:46:41.2775684Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T01:46:41.2776070Z           aten::linear         3.85%       6.000us        51.92%      81.000us      81.000us             1              [[128, 20], [30, 20], [30]]  
2022-11-23T01:46:41.2776352Z                aten::t         8.33%      13.000us        12.82%      20.000us      20.000us             1                               [[30, 20]]  
2022-11-23T01:46:41.2776835Z        aten::transpose         3.21%       5.000us         4.49%       7.000us       7.000us             1                       [[30, 20], [], []]  
2022-11-23T01:46:41.2777172Z       aten::as_strided         1.28%       2.000us         1.28%       2.000us       2.000us             1                   [[30, 20], [], [], []]  
2022-11-23T01:46:41.2777467Z            aten::addmm        29.49%      46.000us        35.26%      55.000us      55.000us             1      [[30], [128, 20], [20, 30], [], []]  
2022-11-23T01:46:41.2777753Z           aten::expand         1.28%       2.000us         1.28%       2.000us       2.000us             1                           [[30], [], []]  
2022-11-23T01:46:41.2778037Z       aten::as_strided         0.00%       0.000us         0.00%       0.000us       0.000us             1                       [[30], [], [], []]  
2022-11-23T01:46:41.2778325Z            aten::copy_         4.49%       7.000us         4.49%       7.000us       7.000us             1               [[128, 30], [128, 30], []]  
2022-11-23T01:46:41.2778640Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 30]]  
2022-11-23T01:46:41.2778930Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 20]]  
2022-11-23T01:46:41.2779210Z           aten::linear         1.92%       3.000us        48.08%      75.000us      75.000us             1              [[128, 30], [40, 30], [40]]  
2022-11-23T01:46:41.2779489Z                aten::t         1.92%       3.000us         3.21%       5.000us       5.000us             1                               [[40, 30]]  
2022-11-23T01:46:41.2779765Z        aten::transpose         1.28%       2.000us         1.28%       2.000us       2.000us             1                       [[40, 30], [], []]  
2022-11-23T01:46:41.2780037Z       aten::as_strided         0.00%       0.000us         0.00%       0.000us       0.000us             1                   [[40, 30], [], [], []]  
2022-11-23T01:46:41.2780322Z            aten::addmm        39.74%      62.000us        42.95%      67.000us      67.000us             1      [[40], [128, 30], [30, 40], [], []]  
2022-11-23T01:46:41.2780603Z           aten::expand         0.64%       1.000us         0.64%       1.000us       1.000us             1                           [[40], [], []]  
2022-11-23T01:46:41.2780883Z       aten::as_strided         0.00%       0.000us         0.00%       0.000us       0.000us             1                       [[40], [], [], []]  
2022-11-23T01:46:41.2781161Z            aten::copy_         2.56%       4.000us         2.56%       4.000us       4.000us             1               [[128, 40], [128, 40], []]  
2022-11-23T01:46:41.2781431Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 40]]  
2022-11-23T01:46:41.2781716Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 30]]  
2022-11-23T01:46:41.2782198Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T01:46:41.2782529Z Self CPU time total: 156.000us
2022-11-23T01:46:41.2782652Z 
2022-11-23T01:46:41.2782707Z ok (0.004s)
2022-11-23T01:46:41.2783143Z   test_profiler_unboxed_only (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2783626Z STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2784074Z STAGE:2022-11-23 01:46:32 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2784321Z ok (0.001s)
2022-11-23T01:46:41.2784555Z   test_pynode_destruction_deadlock (__main__.TestAutograd) ... ok (1.415s)
2022-11-23T01:46:41.2785035Z   test_record_function (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2785504Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2785962Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2786400Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2786828Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2787255Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2787513Z ok (0.004s)
2022-11-23T01:46:41.2787947Z   test_record_function_callbacks (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2788457Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2788884Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2789144Z ok (0.002s)
2022-11-23T01:46:41.2789574Z   test_record_function_legacy (__main__.TestAutograd) ... STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:46:41.2790053Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:46:41.2790482Z STAGE:2022-11-23 01:46:33 15592:15592 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:46:41.2790743Z ok (0.002s)
2022-11-23T01:46:41.2790977Z   test_record_function_multithreaded (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2791261Z   test_reentrant_child_error (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2791533Z   test_reentrant_priority (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2791828Z   test_reentrant_with_callbacks_both_depths (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2792124Z   test_reentrant_with_callbacks_depth_0 (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2792419Z   test_reentrant_with_callbacks_depth_1 (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2792716Z   test_reentrant_with_leaf_variable_hook (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2793019Z   test_reentrant_with_non_leaf_variable_hook (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2793287Z   test_requires_grad (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2793543Z   test_requires_grad_ (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2793812Z   test_requires_grad_inplace (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2794068Z   test_retain_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2794324Z   test_retain_grad_cycle (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2794668Z   test_retain_grad_inplace (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2794953Z   test_retain_grad_inplace_over_view (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2795225Z   test_return_duplicate (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2795503Z   test_return_duplicate_inplace (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2795772Z   test_return_leaf (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2796023Z   test_return_leaf_inplace (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2796301Z   test_save_none_for_backward (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2796583Z   test_save_on_cpu_and_checkpoint (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2796843Z   test_save_output_nr (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2797173Z   test_saved_variable_packing_unpacking_did_not_save_original_with_default_hooks (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2797556Z   test_saved_variable_packing_unpacking_did_not_save_original_with_hooks (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2797971Z   test_saved_variable_packing_unpacking_saved_original_with_default_hooks (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2798326Z   test_saved_variable_packing_unpacking_saved_original_with_hooks (__main__.TestAutograd) ... ok (0.013s)
2022-11-23T01:46:41.2798665Z   test_saved_variable_saved_original_inplace_detach (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T01:46:41.2798976Z   test_saved_variable_version_counter (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2799267Z   test_saved_variables_deprecated (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2799539Z   test_saving_variable_to_disk (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2799856Z   test_select_expanded_v (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2800112Z   test_select_sum (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2800363Z   test_set_data_preserve_pyobj (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2800650Z   test_set_data_self_requires_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2800937Z   test_set_data_tensorimpl_type (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2801217Z   test_set_grad_coroutines (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2801497Z   test_set_grad_coroutines_benign_exceptions (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2801815Z   test_set_grad_coroutines_critical_exceptions (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2802116Z   test_set_grad_coroutines_exit (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2802377Z   test_set_grad_enabled (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2802662Z   test_set_grad_generator_functions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2802969Z   test_set_grad_generator_functions_recursive (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2803235Z   test_setitem (__main__.TestAutograd) ... ok (0.013s)
2022-11-23T01:46:41.2803490Z   test_setitem_mask (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2803801Z   test_setting_default_saved_variable_hooks_twice_should_not_fail (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2804160Z   test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2804447Z   test_shape (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2804698Z   test_sharded_grad (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T01:46:41.2804963Z   test_simple_reentrant (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2805217Z   test_slice_expanded_v (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2805499Z   test_sparse_gather_both_scalar (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2805779Z   test_sparse_gather_dim0 (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2806048Z   test_sparse_gather_dim1 (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2806312Z   test_sparse_gather_dim_neg (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2806602Z   test_sparse_gather_ind_scalar (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2806887Z   test_sparse_gather_x_scalar (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2807147Z   test_sparse_mm_backward (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T01:46:41.2807606Z   test_symeig_no_eigenvectors (__main__.TestAutograd) ... /var/lib/jenkins/workspace/test/test_autograd.py:3933: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T01:46:41.2808137Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T01:46:41.2808460Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T01:46:41.2808652Z should be replaced with
2022-11-23T01:46:41.2808956Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T01:46:41.2809169Z and
2022-11-23T01:46:41.2809376Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T01:46:41.2809589Z should be replaced with
2022-11-23T01:46:41.2810049Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T01:46:41.2810399Z   w, v = torch.symeig(A, eigenvectors=False)
2022-11-23T01:46:41.2810597Z ok (0.016s)
2022-11-23T01:46:41.2810816Z   test_tensor_grad_warnings (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2811084Z   test_thread_shutdown (__main__.TestAutograd) ... ok (1.405s)
2022-11-23T01:46:41.2811333Z   test_too_many_grads (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2811625Z   test_type_conversions (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2811888Z   test_unrelated_inputs (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T01:46:41.2812136Z   test_unused_output (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2812404Z   test_var_mean_differentiable (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2812681Z   test_variable_traverse (__main__.TestAutograd) ... ok (0.111s)
2022-11-23T01:46:41.2812935Z   test_version_counter (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2813204Z   test_volatile_deprecated (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2813482Z   test_will_engine_execute_node (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T01:46:41.2813778Z   test_wrapped_number_saved_variable_hooks (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2814103Z   test_view_func_for_complex_views (autograd.test_complex.TestAutogradComplex) ... ok (0.003s)
2022-11-23T01:46:41.2814462Z   test_view_with_multi_output (autograd.test_complex.TestAutogradComplex) ... ok (0.007s)
2022-11-23T01:46:41.2815270Z   test_advanced_packing_unpacking (__main__.TestAutogradForwardMode) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:46:41.2815773Z   warnings.warn(message, UserWarning)
2022-11-23T01:46:41.2815955Z ok (0.004s)
2022-11-23T01:46:41.2816208Z   test_backward_graph_destruction (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2816704Z   test_basic_packing_unpacking (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2817065Z   test_codegen_ignores_undefined_outputs (__main__.TestAutogradForwardMode) ... ok (0.007s)
2022-11-23T01:46:41.2817406Z   test_create_new_zeros_with_same_meta (__main__.TestAutogradForwardMode) ... ok (0.007s)
2022-11-23T01:46:41.2817724Z   test_default_level (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2818033Z   test_detach_view_tracking (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2818339Z   test_forward_level_cleanup (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2818651Z   test_grad_cleanup (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2818972Z   test_make_dual_forbid_integral_dtype (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2819316Z   test_make_dual_inference_tensor_in_inference_mode (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2819665Z   test_make_dual_torch_dispatch (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T01:46:41.2819992Z   test_metadata_check_check_conj (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T01:46:41.2820333Z   test_metadata_check_checks_ignores_size_zero (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T01:46:41.2820673Z   test_metadata_check_checks_storage_numel (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2821044Z   test_metadata_check_ignore_storage_offset_for_zero_numel_tensor (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2821471Z   test_metadata_check_when_primal_has_conj_bit (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2821815Z   test_metadata_check_when_primal_has_neg_bit (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2822141Z   test_nested_level (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T01:46:41.2822450Z   test_non_differentiable (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T01:46:41.2822753Z   test_out_variant (__main__.TestAutogradForwardMode) ... ok (0.005s)
2022-11-23T01:46:41.2823029Z   test_print (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T01:46:41.2823352Z   test_set_fw_grad_having_own_fw_grad_at_same_level (__main__.TestAutogradForwardMode) ... ok (0.004s)
2022-11-23T01:46:41.2823717Z   test_size_check (__main__.TestAutogradForwardMode) ... ok (0.004s)
2022-11-23T01:46:41.2824022Z   test_view_inplace_always_creates_a_view (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T01:46:41.2824364Z   test_view_inplace_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T01:46:41.2824713Z   test_view_inplace_non_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T01:46:41.2825080Z   test_inplace_on_view_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s)
2022-11-23T01:46:41.2825448Z   test_inplace_on_view_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s)
2022-11-23T01:46:41.2825841Z   test_metadata_check_for_storage_numel_skipped (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.005s)
2022-11-23T01:46:41.2826221Z   test_out_of_place_basic (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.007s)
2022-11-23T01:46:41.2826594Z   test_out_of_place_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s)
2022-11-23T01:46:41.2826977Z   test_construct_standard_basis_for_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2827417Z   test_construct_standard_basis_for_cuda_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2022-11-23T01:46:41.2827888Z   test_construct_standard_basis_for_cuda_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2022-11-23T01:46:41.2828330Z   test_construct_standard_basis_for_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.012s)
2022-11-23T01:46:41.2828743Z   test_hessian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.139s)
2022-11-23T01:46:41.2829184Z   test_hessian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.867s)
2022-11-23T01:46:41.2829619Z   test_hessian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.072s)
2022-11-23T01:46:41.2830041Z   test_hessian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.385s)
2022-11-23T01:46:41.2830458Z   test_hessian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2830862Z   test_hessian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T01:46:41.2831281Z   test_hessian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T01:46:41.2831697Z   test_hessian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2832121Z   test_hessian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2832553Z   test_hessian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T01:46:41.2832969Z   test_hessian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2833415Z   test_hessian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T01:46:41.2833829Z   test_hessian_match_vhp_hvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2834228Z   test_hessian_match_vhp_hvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T01:46:41.2834688Z   test_hessian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2835070Z   test_hessian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T01:46:41.2835492Z   test_hessian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2835882Z   test_hessian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.013s)
2022-11-23T01:46:41.2836286Z   test_hessian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2836690Z   test_hessian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T01:46:41.2837109Z   test_hessian_scalar_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2837530Z   test_hessian_scalar_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T01:46:41.2837945Z   test_hessian_scalar_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2838350Z   test_hessian_scalar_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2838781Z   test_hessian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T01:46:41.2839224Z   test_hessian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.112s)
2022-11-23T01:46:41.2839647Z   test_hessian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T01:46:41.2840082Z   test_hessian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.032s)
2022-11-23T01:46:41.2840528Z   test_hessian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2840985Z   test_hessian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.030s)
2022-11-23T01:46:41.2841415Z   test_hessian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T01:46:41.2841842Z   test_hessian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2842251Z   test_hvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.086s)
2022-11-23T01:46:41.2842643Z   test_hvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.477s)
2022-11-23T01:46:41.2843015Z   test_hvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2843398Z   test_hvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T01:46:41.2843785Z   test_hvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2844179Z   test_hvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2844559Z   test_hvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2844940Z   test_hvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T01:46:41.2845349Z   test_hvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2845727Z   test_hvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2846092Z   test_hvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2846469Z   test_hvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T01:46:41.2846875Z   test_jacobian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.060s)
2022-11-23T01:46:41.2847342Z   test_jacobian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.339s)
2022-11-23T01:46:41.2847776Z   test_jacobian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.047s)
2022-11-23T01:46:41.2848213Z   test_jacobian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.241s)
2022-11-23T01:46:41.2848632Z   test_jacobian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2849028Z   test_jacobian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T01:46:41.2849446Z   test_jacobian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T01:46:41.2849876Z   test_jacobian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T01:46:41.2850308Z   test_jacobian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2850723Z   test_jacobian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T01:46:41.2851155Z   test_jacobian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2851578Z   test_jacobian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2851992Z   test_jacobian_match_vjp_jvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2852382Z   test_jacobian_match_vjp_jvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T01:46:41.2852779Z   test_jacobian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2853172Z   test_jacobian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T01:46:41.2853562Z   test_jacobian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2853943Z   test_jacobian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T01:46:41.2854345Z   test_jacobian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2854758Z   test_jacobian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T01:46:41.2855155Z   test_jacobian_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2855532Z   test_jacobian_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2855931Z   test_jacobian_scalar_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T01:46:41.2856346Z   test_jacobian_scalar_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2857015Z   test_jacobian_vectorize_correctness_different_devices_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2022-11-23T01:46:41.2857593Z   test_jacobian_vectorize_correctness_different_devices_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2022-11-23T01:46:41.2858081Z   test_jacobian_vectorize_correctness_different_dtype_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2858548Z   test_jacobian_vectorize_correctness_different_dtype_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T01:46:41.2858988Z   test_jacobian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2859479Z   test_jacobian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.018s)
2022-11-23T01:46:41.2859940Z   test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T01:46:41.2860416Z   test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.061s)
2022-11-23T01:46:41.2860876Z   test_jacobian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2861304Z   test_jacobian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.020s)
2022-11-23T01:46:41.2861757Z   test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2862225Z   test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.022s)
2022-11-23T01:46:41.2862678Z   test_jacobian_vectorize_correctness_zero_dim_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T01:46:41.2863108Z   test_jacobian_vectorize_correctness_zero_dim_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.035s)
2022-11-23T01:46:41.2863546Z   test_jacobian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T01:46:41.2863977Z   test_jacobian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2864382Z   test_jvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.061s)
2022-11-23T01:46:41.2864780Z   test_jvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.336s)
2022-11-23T01:46:41.2865177Z   test_jvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2865563Z   test_jvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2865938Z   test_jvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2866340Z   test_jvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2866735Z   test_jvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2867123Z   test_jvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2867491Z   test_jvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2867874Z   test_jvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2868261Z   test_jvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2868630Z   test_jvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2869041Z   test_vhp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.078s)
2022-11-23T01:46:41.2869435Z   test_vhp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.437s)
2022-11-23T01:46:41.2869818Z   test_vhp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2870191Z   test_vhp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T01:46:41.2870582Z   test_vhp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2870982Z   test_vhp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2871401Z   test_vhp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2871768Z   test_vhp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T01:46:41.2872146Z   test_vhp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2872523Z   test_vhp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2872897Z   test_vhp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2873260Z   test_vhp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2873645Z   test_vjp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.054s)
2022-11-23T01:46:41.2874033Z   test_vjp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.298s)
2022-11-23T01:46:41.2874473Z   test_vjp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2874861Z   test_vjp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2875250Z   test_vjp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2875646Z   test_vjp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2876021Z   test_vjp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2876399Z   test_vjp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T01:46:41.2876775Z   test_vjp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2877154Z   test_vjp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T01:46:41.2877521Z   test_vjp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T01:46:41.2877902Z   test_vjp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T01:46:41.2878264Z   test_inference_mode_context_manager (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2878592Z   test_inference_mode_decorator (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2878944Z   test_inference_mode_existing_autograd_session (__main__.TestAutogradInferenceMode) ... ok (0.006s)
2022-11-23T01:46:41.2879314Z   test_inference_mode_handle_direct_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.007s)
2022-11-23T01:46:41.2879685Z   test_inference_mode_handle_indirect_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.005s)
2022-11-23T01:46:41.2880048Z   test_inference_mode_inf_tensor_in_inf_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2880427Z   test_inference_mode_inf_tensor_in_inf_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2880797Z   test_inference_mode_inf_tensor_in_inf_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2881210Z   test_inference_mode_inf_tensor_in_normal_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2881585Z   test_inference_mode_inf_tensor_in_normal_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.007s)
2022-11-23T01:46:41.2881959Z   test_inference_mode_inf_tensor_in_normal_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2882313Z   test_inference_mode_tensor_creation (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2882657Z   test_mix_inference_and_normal_tensor_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.004s)
2022-11-23T01:46:41.2883067Z   test_mix_inference_and_normal_tensor_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.009s)
2022-11-23T01:46:41.2883427Z   test_mix_inference_and_normal_tensor_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2883795Z   test_normal_tensor_inplace_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2884152Z   test_normal_tensor_inplace_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2884515Z   test_normal_tensor_view_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T01:46:41.2884876Z   test_normal_tensor_view_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.004s)
2022-11-23T01:46:41.2885202Z   test_cat_stack_r_to_c (__main__.TestMultithreadAutograd) ... ok (0.107s)
2022-11-23T01:46:41.2885513Z   test_dataparallel_saved_tensors_hooks (__main__.TestMultithreadAutograd) ... ok (0.002s)
2022-11-23T01:46:41.2885841Z   test_fork_join_in_middle (__main__.TestMultithreadAutograd) ... ok (0.019s)
2022-11-23T01:46:41.2886149Z   test_multi_grad_hooks (__main__.TestMultithreadAutograd) ... ok (0.005s)
2022-11-23T01:46:41.2886470Z   test_multithreaded_exception_propagation (__main__.TestMultithreadAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2886804Z   test_preserve_backtrace (__main__.TestMultithreadAutograd) ... ok (0.001s)
2022-11-23T01:46:41.2887120Z   test_python_thread_in_middle (__main__.TestMultithreadAutograd) ... ok (0.021s)
2022-11-23T01:46:41.2887428Z   test_simple_backward (__main__.TestMultithreadAutograd) ... ok (0.006s)
2022-11-23T01:46:41.2887732Z   test_simple_backward_same_input (__main__.TestMultithreadAutograd) ... ok (0.009s)
2022-11-23T01:46:41.2887914Z 
2022-11-23T01:46:41.2888147Z ----------------------------------------------------------------------
2022-11-23T01:46:41.2888388Z Ran 461 tests in 16.848s
2022-11-23T01:46:41.2888506Z 
2022-11-23T01:46:41.2888589Z OK (skipped=12, expected failures=2)
2022-11-23T01:46:41.2888719Z 
2022-11-23T01:46:41.2888802Z Generating XML reports...
2022-11-23T01:46:41.2889243Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAllowMutationOnSaved-20221123014623.xml
2022-11-23T01:46:41.2889756Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutograd-20221123014623.xml
2022-11-23T01:46:41.2890295Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_complex.TestAutogradComplex-20221123014623.xml
2022-11-23T01:46:41.2890857Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardMode-20221123014623.xml
2022-11-23T01:46:41.2891431Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardModeBatchedGrad-20221123014623.xml
2022-11-23T01:46:41.2892050Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_functional.TestAutogradFunctional-20221123014623.xml
2022-11-23T01:46:41.2892622Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradInferenceMode-20221123014623.xml
2022-11-23T01:46:41.2893168Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestMultithreadAutograd-20221123014623.xml
2022-11-23T01:46:41.2893406Z 
2022-11-23T01:46:41.2893719Z ##[endgroup]
2022-11-23T01:46:41.2894118Z FINISHED PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_4lf_twju)
2022-11-23T01:46:41.2894330Z 
2022-11-23T01:46:41.2894501Z Running test_cpp_api_parity ... [2022-11-23 01:46:41.266148]
2022-11-23T01:46:41.2894980Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_api_parity.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:46:41.266364]
2022-11-23T01:46:53.5612157Z 
2022-11-23T01:46:53.5613039Z Expand the folded group to see the log file of test_cpp_api_parity
2022-11-23T01:46:53.5614153Z ##[group]PRINTING LOG FILE of test_cpp_api_parity (/var/lib/jenkins/workspace/test/test-reports/test_cpp_api_parity_s1yl6y1n)
2022-11-23T01:46:53.5615370Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:46:53.5615837Z 
2022-11-23T01:46:53.5616074Z Running tests...
2022-11-23T01:46:53.5616813Z ----------------------------------------------------------------------
2022-11-23T01:46:53.5617469Z Test results will be stored in test-reports/python-unittest/test_cpp_api_parity
2022-11-23T01:46:53.5618021Z   test_torch_nn_AdaptiveAvgPool1d (__main__.TestCppApiParity) ... ok (0.034s)
2022-11-23T01:46:53.5618670Z   test_torch_nn_AdaptiveAvgPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5619232Z   test_torch_nn_AdaptiveAvgPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5619862Z   test_torch_nn_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5620470Z   test_torch_nn_AdaptiveAvgPool1d_one_output (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5621064Z   test_torch_nn_AdaptiveAvgPool1d_one_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5621669Z   test_torch_nn_AdaptiveAvgPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5622318Z   test_torch_nn_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5622894Z   test_torch_nn_AdaptiveAvgPool2d_single (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5623533Z   test_torch_nn_AdaptiveAvgPool2d_single_1x1output (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5624205Z   test_torch_nn_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5624814Z   test_torch_nn_AdaptiveAvgPool2d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5625338Z   test_torch_nn_AdaptiveAvgPool2d_tuple (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5625944Z   test_torch_nn_AdaptiveAvgPool2d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5626483Z   test_torch_nn_AdaptiveAvgPool2d_tuple_none (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5627041Z   test_torch_nn_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5627660Z   test_torch_nn_AdaptiveAvgPool3d_last_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5628287Z   test_torch_nn_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5628912Z   test_torch_nn_AdaptiveAvgPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5629567Z   test_torch_nn_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5630100Z   test_torch_nn_AdaptiveAvgPool3d_single (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5630629Z   test_torch_nn_AdaptiveAvgPool3d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5631145Z   test_torch_nn_AdaptiveAvgPool3d_tuple (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5631824Z   test_torch_nn_AdaptiveAvgPool3d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5632372Z   test_torch_nn_AdaptiveAvgPool3d_tuple_none (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5633088Z   test_torch_nn_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5633633Z   test_torch_nn_AdaptiveMaxPool1d (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5634156Z   test_torch_nn_AdaptiveMaxPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5634791Z   test_torch_nn_AdaptiveMaxPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5635550Z   test_torch_nn_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5636188Z   test_torch_nn_AdaptiveMaxPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5636887Z   test_torch_nn_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5637594Z   test_torch_nn_AdaptiveMaxPool2d_single (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5638215Z   test_torch_nn_AdaptiveMaxPool2d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5638836Z   test_torch_nn_AdaptiveMaxPool2d_tuple (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5639451Z   test_torch_nn_AdaptiveMaxPool2d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5640039Z   test_torch_nn_AdaptiveMaxPool2d_tuple_none (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5640668Z   test_torch_nn_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5641303Z   test_torch_nn_AdaptiveMaxPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5642781Z   test_torch_nn_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5643397Z   test_torch_nn_AdaptiveMaxPool3d_single (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5644021Z   test_torch_nn_AdaptiveMaxPool3d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5644606Z   test_torch_nn_AdaptiveMaxPool3d_single_nonatomic (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5645235Z   test_torch_nn_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5645847Z   test_torch_nn_AdaptiveMaxPool3d_tuple (__main__.TestCppApiParity) ... ok (0.016s)
2022-11-23T01:46:53.5646444Z   test_torch_nn_AdaptiveMaxPool3d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5647057Z   test_torch_nn_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5647690Z   test_torch_nn_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5648329Z   test_torch_nn_AdaptiveMaxPool3d_tuple_none (__main__.TestCppApiParity) ... ok (0.018s)
2022-11-23T01:46:53.5648962Z   test_torch_nn_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5649554Z   test_torch_nn_AvgPool1d (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5650132Z   test_torch_nn_AvgPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5650720Z   test_torch_nn_AvgPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5651336Z   test_torch_nn_AvgPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5651942Z   test_torch_nn_AvgPool1d_stride (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5652675Z   test_torch_nn_AvgPool1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5653284Z   test_torch_nn_AvgPool1d_stride_pad (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5653882Z   test_torch_nn_AvgPool1d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5654469Z   test_torch_nn_AvgPool2d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5655052Z   test_torch_nn_AvgPool2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5655633Z   test_torch_nn_AvgPool2d_divisor (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5656217Z   test_torch_nn_AvgPool2d_divisor_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5657040Z   test_torch_nn_AvgPool2d_divisor_stride (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5657691Z   test_torch_nn_AvgPool2d_divisor_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5658314Z   test_torch_nn_AvgPool2d_divisor_stride_pad (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5658948Z   test_torch_nn_AvgPool2d_divisor_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5659537Z   test_torch_nn_AvgPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5660136Z   test_torch_nn_AvgPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5660713Z   test_torch_nn_AvgPool2d_stride (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5661291Z   test_torch_nn_AvgPool2d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5661881Z   test_torch_nn_AvgPool2d_stride_pad (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5662472Z   test_torch_nn_AvgPool2d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5663063Z   test_torch_nn_AvgPool3d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5663643Z   test_torch_nn_AvgPool3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5664205Z   test_torch_nn_AvgPool3d_divisor (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5664797Z   test_torch_nn_AvgPool3d_divisor_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5665395Z   test_torch_nn_AvgPool3d_divisor_stride (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5666003Z   test_torch_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5666661Z   test_torch_nn_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5667346Z   test_torch_nn_AvgPool3d_divisor_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5667974Z   test_torch_nn_AvgPool3d_divisor_stride_pad (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5668570Z   test_torch_nn_AvgPool3d_divisor_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5669226Z   test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5669915Z   test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5670621Z   test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5671324Z   test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5672027Z   test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5672899Z   test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5673568Z   test_torch_nn_AvgPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5674164Z   test_torch_nn_AvgPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5674840Z   test_torch_nn_AvgPool3d_stride (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5675435Z   test_torch_nn_AvgPool3d_stride1_pad0_gpu_input (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5676065Z   test_torch_nn_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5676838Z   test_torch_nn_AvgPool3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5677409Z   test_torch_nn_AvgPool3d_stride_pad (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5678100Z   test_torch_nn_AvgPool3d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5678710Z   test_torch_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5679384Z   test_torch_nn_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5680066Z   test_torch_nn_AvgPool3d_stride_pad_gpu_general_output (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5680754Z   test_torch_nn_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5681388Z   test_torch_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5682056Z   test_torch_nn_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5682680Z   test_torch_nn_BCELoss (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5683242Z   test_torch_nn_BCELoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5683825Z   test_torch_nn_BCELoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5684467Z   test_torch_nn_BCELoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5685111Z   test_torch_nn_BCELoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5685714Z   test_torch_nn_BCELoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5686299Z   test_torch_nn_BCELoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5686937Z   test_torch_nn_BCELoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5687492Z   test_torch_nn_BCELoss_scalar_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5688111Z   test_torch_nn_BCELoss_scalar_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5688634Z   test_torch_nn_BCELoss_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5689143Z   test_torch_nn_BCELoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5689698Z   test_torch_nn_BCEWithLogitsLoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5690331Z   test_torch_nn_BCEWithLogitsLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5690993Z   test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5691691Z   test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5692361Z   test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5693124Z   test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5693801Z   test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5694480Z   test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5695139Z   test_torch_nn_BCEWithLogitsLoss_scalar_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5695802Z   test_torch_nn_BCEWithLogitsLoss_scalar_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5696680Z   test_torch_nn_BCEWithLogitsLoss_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5697339Z   test_torch_nn_BCEWithLogitsLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5697935Z   test_torch_nn_BatchNorm1d_3d_input (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5698518Z   test_torch_nn_BatchNorm1d_3d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5699145Z   test_torch_nn_BatchNorm1d_3d_input_not_affine (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5699792Z   test_torch_nn_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5700385Z   test_torch_nn_BatchNorm1d_affine (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5700939Z   test_torch_nn_BatchNorm1d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5701513Z   test_torch_nn_BatchNorm1d_affine_simple_average (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5702190Z   test_torch_nn_BatchNorm1d_affine_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5702798Z   test_torch_nn_BatchNorm1d_not_affine (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5703403Z   test_torch_nn_BatchNorm1d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5704006Z   test_torch_nn_BatchNorm1d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5704663Z   test_torch_nn_BatchNorm1d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5705272Z   test_torch_nn_BatchNorm1d_zero_batch (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5705874Z   test_torch_nn_BatchNorm1d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5706433Z   test_torch_nn_BatchNorm2d (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5706985Z   test_torch_nn_BatchNorm2d_2d_simple_average (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5707608Z   test_torch_nn_BatchNorm2d_2d_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5708256Z   test_torch_nn_BatchNorm2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5708832Z   test_torch_nn_BatchNorm2d_momentum (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5709411Z   test_torch_nn_BatchNorm2d_momentum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5710090Z   test_torch_nn_BatchNorm2d_not_affine (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5710687Z   test_torch_nn_BatchNorm2d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5711306Z   test_torch_nn_BatchNorm2d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5711929Z   test_torch_nn_BatchNorm2d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5712548Z   test_torch_nn_BatchNorm2d_zero_batch (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5713285Z   test_torch_nn_BatchNorm2d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5713875Z   test_torch_nn_BatchNorm3d (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5714479Z   test_torch_nn_BatchNorm3d_3d_simple_average (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5715119Z   test_torch_nn_BatchNorm3d_3d_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5715787Z   test_torch_nn_BatchNorm3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5716360Z   test_torch_nn_BatchNorm3d_momentum (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5717047Z   test_torch_nn_BatchNorm3d_momentum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5717657Z   test_torch_nn_BatchNorm3d_not_affine (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5718262Z   test_torch_nn_BatchNorm3d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5718849Z   test_torch_nn_BatchNorm3d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5719487Z   test_torch_nn_BatchNorm3d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5720102Z   test_torch_nn_BatchNorm3d_zero_batch (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5720678Z   test_torch_nn_BatchNorm3d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5721235Z   test_torch_nn_CELU (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5721761Z   test_torch_nn_CELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5722300Z   test_torch_nn_CELU_scalar (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5722885Z   test_torch_nn_CELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5723523Z   test_torch_nn_CTCLoss_2d_int_target_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5724191Z   test_torch_nn_CTCLoss_2d_int_target_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5724809Z   test_torch_nn_CTCLoss_2d_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5725406Z   test_torch_nn_CTCLoss_2d_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5726002Z   test_torch_nn_CTCLoss_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5726599Z   test_torch_nn_CTCLoss_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5727151Z   test_torch_nn_ConstantPad1d (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5727692Z   test_torch_nn_ConstantPad1d_batch (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5728299Z   test_torch_nn_ConstantPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5728898Z   test_torch_nn_ConstantPad1d_complex (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5729486Z   test_torch_nn_ConstantPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5730120Z   test_torch_nn_ConstantPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5730703Z   test_torch_nn_ConstantPad2d (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5731239Z   test_torch_nn_ConstantPad2d_complex (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5731873Z   test_torch_nn_ConstantPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5732483Z   test_torch_nn_ConstantPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5733179Z   test_torch_nn_ConstantPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5733808Z   test_torch_nn_ConstantPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5734403Z   test_torch_nn_ConstantPad3d (__main__.TestCppApiParity) ... ok (0.033s)
2022-11-23T01:46:53.5734959Z   test_torch_nn_ConstantPad3d_complex (__main__.TestCppApiParity) ... ok (0.041s)
2022-11-23T01:46:53.5735595Z   test_torch_nn_ConstantPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5736240Z   test_torch_nn_ConstantPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5739175Z   test_torch_nn_ConstantPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.021s)
2022-11-23T01:46:53.5739836Z   test_torch_nn_ConstantPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5740420Z   test_torch_nn_Conv1d (__main__.TestCppApiParity) ... ok (0.031s)
2022-11-23T01:46:53.5740963Z   test_torch_nn_Conv1d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5741605Z   test_torch_nn_Conv1d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5742200Z   test_torch_nn_Conv1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5742720Z   test_torch_nn_Conv1d_dilated (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5743280Z   test_torch_nn_Conv1d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5743849Z   test_torch_nn_Conv1d_groups (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5744409Z   test_torch_nn_Conv1d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5744970Z   test_torch_nn_Conv1d_pad1 (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5745544Z   test_torch_nn_Conv1d_pad1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5746101Z   test_torch_nn_Conv1d_pad1size1 (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5746696Z   test_torch_nn_Conv1d_pad1size1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5747272Z   test_torch_nn_Conv1d_pad2 (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5747823Z   test_torch_nn_Conv1d_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5748390Z   test_torch_nn_Conv1d_pad2size1 (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5748947Z   test_torch_nn_Conv1d_pad2size1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5749512Z   test_torch_nn_Conv1d_pad_same (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5751096Z   test_torch_nn_Conv1d_pad_same2 (__main__.TestCppApiParity) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:309: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:46:53.5752041Z   return F.conv1d(input, weight, bias, self.stride,
2022-11-23T01:46:53.5752372Z ok (0.012s)
2022-11-23T01:46:53.5752813Z   test_torch_nn_Conv1d_pad_same2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5753386Z   test_torch_nn_Conv1d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5753890Z   test_torch_nn_Conv1d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5754600Z   test_torch_nn_Conv1d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5755202Z   test_torch_nn_Conv1d_pad_valid (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5755898Z   test_torch_nn_Conv1d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5756433Z   test_torch_nn_Conv1d_reflect_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5757015Z   test_torch_nn_Conv1d_reflect_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5757594Z   test_torch_nn_Conv1d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5758193Z   test_torch_nn_Conv1d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5758781Z   test_torch_nn_Conv1d_stride (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5759489Z   test_torch_nn_Conv1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5760045Z   test_torch_nn_Conv1d_zero_batch (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5760569Z   test_torch_nn_Conv1d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5761114Z   test_torch_nn_Conv1d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5761742Z   test_torch_nn_Conv1d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5762286Z   test_torch_nn_Conv2d (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5762789Z   test_torch_nn_Conv2d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5763406Z   test_torch_nn_Conv2d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5764058Z   test_torch_nn_Conv2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5764609Z   test_torch_nn_Conv2d_depthwise (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5765199Z   test_torch_nn_Conv2d_depthwise_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5765767Z   test_torch_nn_Conv2d_depthwise_dilated (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5766349Z   test_torch_nn_Conv2d_depthwise_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5766948Z   test_torch_nn_Conv2d_depthwise_padded (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5767582Z   test_torch_nn_Conv2d_depthwise_padded_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5768176Z   test_torch_nn_Conv2d_depthwise_strided (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5768740Z   test_torch_nn_Conv2d_depthwise_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5769359Z   test_torch_nn_Conv2d_depthwise_with_multiplier (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5769999Z   test_torch_nn_Conv2d_depthwise_with_multiplier_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5770618Z   test_torch_nn_Conv2d_dilated (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5771170Z   test_torch_nn_Conv2d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5771730Z   test_torch_nn_Conv2d_groups (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5772285Z   test_torch_nn_Conv2d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5772860Z   test_torch_nn_Conv2d_groups_thnn (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5773421Z   test_torch_nn_Conv2d_groups_thnn_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5773996Z   test_torch_nn_Conv2d_no_bias (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5774562Z   test_torch_nn_Conv2d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5775213Z   test_torch_nn_Conv2d_pad_same (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5775807Z   test_torch_nn_Conv2d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5776388Z   test_torch_nn_Conv2d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5777160Z   test_torch_nn_Conv2d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5777703Z   test_torch_nn_Conv2d_pad_valid (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5778271Z   test_torch_nn_Conv2d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5778952Z   test_torch_nn_Conv2d_padding (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5779512Z   test_torch_nn_Conv2d_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5780100Z   test_torch_nn_Conv2d_reflect_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5780732Z   test_torch_nn_Conv2d_reflect_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5781344Z   test_torch_nn_Conv2d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5781973Z   test_torch_nn_Conv2d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5782564Z   test_torch_nn_Conv2d_strided (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5783143Z   test_torch_nn_Conv2d_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5783722Z   test_torch_nn_Conv2d_zero_batch (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5784296Z   test_torch_nn_Conv2d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5784864Z   test_torch_nn_Conv2d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5785475Z   test_torch_nn_Conv2d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5786002Z   test_torch_nn_Conv3d (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5786522Z   test_torch_nn_Conv3d_1x1x1_no_bias (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5787135Z   test_torch_nn_Conv3d_1x1x1_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5787751Z   test_torch_nn_Conv3d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5788370Z   test_torch_nn_Conv3d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5788998Z   test_torch_nn_Conv3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5789569Z   test_torch_nn_Conv3d_dilated (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5790127Z   test_torch_nn_Conv3d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5790697Z   test_torch_nn_Conv3d_dilated_strided (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5791315Z   test_torch_nn_Conv3d_dilated_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5791879Z   test_torch_nn_Conv3d_groups (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5792433Z   test_torch_nn_Conv3d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5792985Z   test_torch_nn_Conv3d_no_bias (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5793555Z   test_torch_nn_Conv3d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5794137Z   test_torch_nn_Conv3d_pad_same (__main__.TestCppApiParity) ... ok (0.026s)
2022-11-23T01:46:53.5794846Z   test_torch_nn_Conv3d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5795571Z   test_torch_nn_Conv3d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.026s)
2022-11-23T01:46:53.5796184Z   test_torch_nn_Conv3d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5796842Z   test_torch_nn_Conv3d_pad_valid (__main__.TestCppApiParity) ... ok (0.017s)
2022-11-23T01:46:53.5797499Z   test_torch_nn_Conv3d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5798104Z   test_torch_nn_Conv3d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5798728Z   test_torch_nn_Conv3d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5799388Z   test_torch_nn_Conv3d_stride (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5799958Z   test_torch_nn_Conv3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5800546Z   test_torch_nn_Conv3d_stride_padding (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5801149Z   test_torch_nn_Conv3d_stride_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5801753Z   test_torch_nn_Conv3d_zero_batch (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5802357Z   test_torch_nn_Conv3d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5802955Z   test_torch_nn_Conv3d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5803537Z   test_torch_nn_Conv3d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5804129Z   test_torch_nn_ConvTranspose1d (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5804712Z   test_torch_nn_ConvTranspose1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5805294Z   test_torch_nn_ConvTranspose1d_dilated (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5805903Z   test_torch_nn_ConvTranspose1d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5806508Z   test_torch_nn_ConvTranspose1d_groups (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5807123Z   test_torch_nn_ConvTranspose1d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5807721Z   test_torch_nn_ConvTranspose1d_no_bias (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5808354Z   test_torch_nn_ConvTranspose1d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5808953Z   test_torch_nn_ConvTranspose2d (__main__.TestCppApiParity) ... ok (0.022s)
2022-11-23T01:46:53.5809525Z   test_torch_nn_ConvTranspose2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5810127Z   test_torch_nn_ConvTranspose2d_dilated (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5810764Z   test_torch_nn_ConvTranspose2d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5811359Z   test_torch_nn_ConvTranspose2d_groups (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5811956Z   test_torch_nn_ConvTranspose2d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5812532Z   test_torch_nn_ConvTranspose2d_no_bias (__main__.TestCppApiParity) ... ok (0.020s)
2022-11-23T01:46:53.5813141Z   test_torch_nn_ConvTranspose2d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5813753Z   test_torch_nn_ConvTranspose3d (__main__.TestCppApiParity) ... ok (0.017s)
2022-11-23T01:46:53.5814345Z   test_torch_nn_ConvTranspose3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5814932Z   test_torch_nn_ConvTranspose3d_dilated (__main__.TestCppApiParity) ... ok (0.022s)
2022-11-23T01:46:53.5815682Z   test_torch_nn_ConvTranspose3d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5816292Z   test_torch_nn_CosineEmbeddingLoss (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5817040Z   test_torch_nn_CosineEmbeddingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5817649Z   test_torch_nn_CosineEmbeddingLoss_margin (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5818274Z   test_torch_nn_CosineEmbeddingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5818917Z   test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5819724Z   test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5820403Z   test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5821098Z   test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5821766Z   test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5822461Z   test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5823093Z   test_torch_nn_CrossEntropyLoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5823653Z   test_torch_nn_CrossEntropyLoss_2d (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5824220Z   test_torch_nn_CrossEntropyLoss_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5824841Z   test_torch_nn_CrossEntropyLoss_2d_ignore_index (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5825477Z   test_torch_nn_CrossEntropyLoss_2d_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5826126Z   test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5826822Z   test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5827502Z   test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5828259Z   test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5828984Z   test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5829714Z   test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5830449Z   test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5831178Z   test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5831839Z   test_torch_nn_CrossEntropyLoss_2d_prob_target (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5832472Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5833140Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5833816Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5834599Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5835286Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5836108Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5836798Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5837475Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5838146Z   test_torch_nn_CrossEntropyLoss_2d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5838795Z   test_torch_nn_CrossEntropyLoss_2d_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5839516Z   test_torch_nn_CrossEntropyLoss_2d_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5840156Z   test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5840863Z   test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5841584Z   test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5842322Z   test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5843058Z   test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5843806Z   test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5844598Z   test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5845422Z   test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5846129Z   test_torch_nn_CrossEntropyLoss_3d_prob_target (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5846790Z   test_torch_nn_CrossEntropyLoss_3d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5847471Z   test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5848172Z   test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5848871Z   test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5849599Z   test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5850288Z   test_torch_nn_CrossEntropyLoss_3d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5850958Z   test_torch_nn_CrossEntropyLoss_3d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5851588Z   test_torch_nn_CrossEntropyLoss_4d_prob_target (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5852228Z   test_torch_nn_CrossEntropyLoss_4d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5852888Z   test_torch_nn_CrossEntropyLoss_4d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5853536Z   test_torch_nn_CrossEntropyLoss_4d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5854226Z   test_torch_nn_CrossEntropyLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5854845Z   test_torch_nn_CrossEntropyLoss_dim_is_3 (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5855557Z   test_torch_nn_CrossEntropyLoss_dim_is_3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5856170Z   test_torch_nn_CrossEntropyLoss_higher_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5856938Z   test_torch_nn_CrossEntropyLoss_higher_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5857568Z   test_torch_nn_CrossEntropyLoss_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5858214Z   test_torch_nn_CrossEntropyLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5858808Z   test_torch_nn_CrossMapLRN2d (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5859499Z   test_torch_nn_CrossMapLRN2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5860062Z   test_torch_nn_ELU (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5860579Z   test_torch_nn_ELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5861118Z   test_torch_nn_ELU_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5861661Z   test_torch_nn_ELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5862192Z   test_torch_nn_Embedding (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5862721Z   test_torch_nn_EmbeddingBag_discontiguous (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5863370Z   test_torch_nn_EmbeddingBag_discontiguous_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5863991Z   test_torch_nn_EmbeddingBag_max (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5864590Z   test_torch_nn_EmbeddingBag_max_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5865237Z   test_torch_nn_EmbeddingBag_max_padding_idx (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5865899Z   test_torch_nn_EmbeddingBag_max_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5866481Z   test_torch_nn_EmbeddingBag_mean (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5867043Z   test_torch_nn_EmbeddingBag_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5867641Z   test_torch_nn_EmbeddingBag_mean_padding_idx (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5868268Z   test_torch_nn_EmbeddingBag_mean_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5868872Z   test_torch_nn_EmbeddingBag_sparse (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5869453Z   test_torch_nn_EmbeddingBag_sparse_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5870033Z   test_torch_nn_EmbeddingBag_sum (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5870640Z   test_torch_nn_EmbeddingBag_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5871231Z   test_torch_nn_EmbeddingBag_sum_padding_idx (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5871865Z   test_torch_nn_EmbeddingBag_sum_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5872501Z   test_torch_nn_Embedding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5873097Z   test_torch_nn_Embedding_discontiguous (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5873686Z   test_torch_nn_Embedding_discontiguous_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5874284Z   test_torch_nn_Embedding_sparse (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5874980Z   test_torch_nn_Embedding_sparse_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5875519Z   test_torch_nn_Flatten (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5876187Z   test_torch_nn_Flatten_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5876752Z   test_torch_nn_Flatten_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5877332Z   test_torch_nn_Flatten_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5877894Z   test_torch_nn_Fold (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5878422Z   test_torch_nn_Fold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5878977Z   test_torch_nn_Fold_int_input (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5879609Z   test_torch_nn_Fold_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5880191Z   test_torch_nn_Fold_no_batch_dim_input (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5880796Z   test_torch_nn_Fold_no_batch_dim_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5881381Z   test_torch_nn_Fold_no_batch_dim_int_input (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5881981Z   test_torch_nn_Fold_no_batch_dim_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5882588Z   test_torch_nn_FractionalMaxPool2d_ratio (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5883235Z   test_torch_nn_FractionalMaxPool2d_ratio_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5883985Z   test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5884733Z   test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5885539Z   test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5886385Z   test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.5887153Z   test_torch_nn_FractionalMaxPool2d_size (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5888051Z   test_torch_nn_FractionalMaxPool2d_size_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5888808Z   test_torch_nn_FractionalMaxPool2d_size_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5889588Z   test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5890327Z   test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5891252Z   test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.5892047Z   test_torch_nn_FractionalMaxPool3d_asymsize (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.5892789Z   test_torch_nn_FractionalMaxPool3d_asymsize_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5893433Z   test_torch_nn_FractionalMaxPool3d_ratio (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5894141Z   test_torch_nn_FractionalMaxPool3d_ratio_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5894938Z   test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5895642Z   test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5896747Z   test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5897556Z   test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.5898103Z   test_torch_nn_FractionalMaxPool3d_size (__main__.TestCppApiParity) ... ok (0.016s)
2022-11-23T01:46:53.5898491Z   test_torch_nn_FractionalMaxPool3d_size_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5898943Z   test_torch_nn_FractionalMaxPool3d_size_no_batch_dim (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5899393Z   test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5912087Z   test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5912653Z   test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.5913008Z   test_torch_nn_GELU (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5913324Z   test_torch_nn_GELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5913640Z   test_torch_nn_GELU_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5913973Z   test_torch_nn_GELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5914272Z   test_torch_nn_GLU (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5914648Z   test_torch_nn_GLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5914959Z   test_torch_nn_GLU_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5915260Z   test_torch_nn_GLU_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5915588Z   test_torch_nn_GroupNorm_1d_affine (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5915906Z   test_torch_nn_GroupNorm_1d_affine_GN (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5916254Z   test_torch_nn_GroupNorm_1d_affine_GN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5916609Z   test_torch_nn_GroupNorm_1d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5916959Z   test_torch_nn_GroupNorm_1d_affine_large_batch (__main__.TestCppApiParity) ... ok (0.022s)
2022-11-23T01:46:53.5917325Z   test_torch_nn_GroupNorm_1d_affine_large_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5917666Z   test_torch_nn_GroupNorm_1d_no_affine_IN (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5918011Z   test_torch_nn_GroupNorm_1d_no_affine_IN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5918355Z   test_torch_nn_GroupNorm_1d_no_affine_LN (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5918700Z   test_torch_nn_GroupNorm_1d_no_affine_LN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5919025Z   test_torch_nn_GroupNorm_2d_affine (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5919369Z   test_torch_nn_GroupNorm_2d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5919719Z   test_torch_nn_GroupNorm_2d_affine_large_feature (__main__.TestCppApiParity) ... ok (0.028s)
2022-11-23T01:46:53.5920081Z   test_torch_nn_GroupNorm_2d_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5920419Z   test_torch_nn_GroupNorm_2d_no_affine_IN (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5920762Z   test_torch_nn_GroupNorm_2d_no_affine_IN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5921107Z   test_torch_nn_GroupNorm_2d_no_affine_LN (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5921439Z   test_torch_nn_GroupNorm_2d_no_affine_LN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5921865Z   test_torch_nn_GroupNorm_2d_no_affine_large_feature (__main__.TestCppApiParity) ... ok (0.022s)
2022-11-23T01:46:53.5922236Z   test_torch_nn_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5922580Z   test_torch_nn_Hardshrink (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5922891Z   test_torch_nn_Hardshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5923218Z   test_torch_nn_Hardshrink_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5923559Z   test_torch_nn_Hardshrink_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5923899Z   test_torch_nn_Hardtanh (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5924218Z   test_torch_nn_Hardtanh_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5924542Z   test_torch_nn_Hardtanh_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5924875Z   test_torch_nn_Hardtanh_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5925197Z   test_torch_nn_HingeEmbeddingLoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5925549Z   test_torch_nn_HingeEmbeddingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5925900Z   test_torch_nn_HingeEmbeddingLoss_margin (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5926262Z   test_torch_nn_HingeEmbeddingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5926642Z   test_torch_nn_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5927034Z   test_torch_nn_HingeEmbeddingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5927430Z   test_torch_nn_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5927810Z   test_torch_nn_HingeEmbeddingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5928202Z   test_torch_nn_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.5928595Z   test_torch_nn_HingeEmbeddingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5928966Z   test_torch_nn_HingeEmbeddingLoss_scalar_margin (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5929328Z   test_torch_nn_HingeEmbeddingLoss_scalar_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5929672Z   test_torch_nn_HuberLoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5929990Z   test_torch_nn_HuberLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5930310Z   test_torch_nn_InstanceNorm1d (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5930633Z   test_torch_nn_InstanceNorm1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5930972Z   test_torch_nn_InstanceNorm1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5931333Z   test_torch_nn_InstanceNorm1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5931675Z   test_torch_nn_InstanceNorm1d_tracking_stats (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5932036Z   test_torch_nn_InstanceNorm1d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5932412Z   test_torch_nn_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5932795Z   test_torch_nn_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5933162Z   test_torch_nn_InstanceNorm2d (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5933499Z   test_torch_nn_InstanceNorm2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5933843Z   test_torch_nn_InstanceNorm2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5934200Z   test_torch_nn_InstanceNorm2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5934540Z   test_torch_nn_InstanceNorm2d_tracking_stats (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5934903Z   test_torch_nn_InstanceNorm2d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5935307Z   test_torch_nn_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5935692Z   test_torch_nn_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5936036Z   test_torch_nn_InstanceNorm3d (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5936372Z   test_torch_nn_InstanceNorm3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5936958Z   test_torch_nn_InstanceNorm3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5937305Z   test_torch_nn_InstanceNorm3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5937662Z   test_torch_nn_InstanceNorm3d_tracking_stats (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5938025Z   test_torch_nn_InstanceNorm3d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5938403Z   test_torch_nn_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.5938777Z   test_torch_nn_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5939766Z   test_torch_nn_KLDivLoss (__main__.TestCppApiParity) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:46:53.5940380Z   warnings.warn(
2022-11-23T01:46:53.5941291Z /var/lib/jenkins/workspace/test/cpp_api_parity/module_impl_check.py:149: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/api/include/torch/nn/functional/loss.h:57.)
2022-11-23T01:46:53.5941982Z   cpp_test_fn(arg_dict_file_path, module_file_path, forward_output_file_path, backward_grad_dict_file_path)
2022-11-23T01:46:53.5942232Z ok (0.008s)
2022-11-23T01:46:53.5942499Z   test_torch_nn_KLDivLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5942832Z   test_torch_nn_KLDivLoss_log_target (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5943182Z   test_torch_nn_KLDivLoss_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5943502Z   test_torch_nn_KLDivLoss_scalar (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5943840Z   test_torch_nn_KLDivLoss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5944191Z   test_torch_nn_KLDivLoss_scalar_log_target (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5944535Z   test_torch_nn_KLDivLoss_scalar_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5944930Z   test_torch_nn_L1Loss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5945243Z   test_torch_nn_L1Loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5945555Z   test_torch_nn_L1Loss_scalar (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5945867Z   test_torch_nn_L1Loss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5946187Z   test_torch_nn_LPPool1d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5946510Z   test_torch_nn_LPPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5946862Z   test_torch_nn_LPPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5947207Z   test_torch_nn_LPPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5947538Z   test_torch_nn_LPPool1d_norm (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5947867Z   test_torch_nn_LPPool1d_norm_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5948174Z   test_torch_nn_LPPool2d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5948493Z   test_torch_nn_LPPool2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5948810Z   test_torch_nn_LPPool2d_norm (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5949124Z   test_torch_nn_LPPool2d_norm_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5949469Z   test_torch_nn_LayerNorm_1d_elementwise_affine (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5949838Z   test_torch_nn_LayerNorm_1d_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5950209Z   test_torch_nn_LayerNorm_1d_empty_elementwise_affine (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5950576Z   test_torch_nn_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5950944Z   test_torch_nn_LayerNorm_1d_no_elementwise_affine (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5951313Z   test_torch_nn_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5951675Z   test_torch_nn_LayerNorm_3d_elementwise_affine (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5952025Z   test_torch_nn_LayerNorm_3d_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5952385Z   test_torch_nn_LayerNorm_3d_no_affine_large_feature (__main__.TestCppApiParity) ... ok (0.054s)
2022-11-23T01:46:53.5952756Z   test_torch_nn_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5953121Z   test_torch_nn_LayerNorm_3d_no_elementwise_affine (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.5953474Z   test_torch_nn_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5953811Z   test_torch_nn_LeakyReLU (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5954131Z   test_torch_nn_LeakyReLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5954530Z   test_torch_nn_LeakyReLU_with_negval (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5954878Z   test_torch_nn_LeakyReLU_with_negval_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5955222Z   test_torch_nn_LeakyReLU_with_negval_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5955584Z   test_torch_nn_LeakyReLU_with_negval_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5955923Z   test_torch_nn_LeakyReLU_with_zero_negval (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5956307Z   test_torch_nn_LeakyReLU_with_zero_negval_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5956634Z   test_torch_nn_Linear (__main__.TestCppApiParity) ... ok (0.088s)
2022-11-23T01:46:53.5956930Z   test_torch_nn_Linear_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5957250Z   test_torch_nn_Linear_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5957587Z   test_torch_nn_Linear_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5957912Z   test_torch_nn_Linear_no_bias (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5958278Z   test_torch_nn_Linear_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5958615Z   test_torch_nn_LocalResponseNorm_1d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5958966Z   test_torch_nn_LocalResponseNorm_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5959326Z   test_torch_nn_LocalResponseNorm_2d_uneven_pad (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.5959682Z   test_torch_nn_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5960048Z   test_torch_nn_LocalResponseNorm_3d_custom_params (__main__.TestCppApiParity) ... ok (0.027s)
2022-11-23T01:46:53.5960423Z   test_torch_nn_LocalResponseNorm_3d_custom_params_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5960753Z   test_torch_nn_LogSigmoid (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5961077Z   test_torch_nn_LogSigmoid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5961402Z   test_torch_nn_LogSigmoid_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5961739Z   test_torch_nn_LogSigmoid_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5962053Z   test_torch_nn_LogSoftmax (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5962373Z   test_torch_nn_LogSoftmax_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5962704Z   test_torch_nn_LogSoftmax_multiparam (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.5963039Z   test_torch_nn_LogSoftmax_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5963388Z   test_torch_nn_LogSoftmax_multiparam_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5963750Z   test_torch_nn_LogSoftmax_multiparam_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5964104Z   test_torch_nn_LogSoftmax_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5964436Z   test_torch_nn_LogSoftmax_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5964762Z   test_torch_nn_MSELoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5965076Z   test_torch_nn_MSELoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5965389Z   test_torch_nn_MSELoss_prec (__main__.TestCppApiParity) ... ok (0.036s)
2022-11-23T01:46:53.5965695Z   test_torch_nn_MSELoss_prec_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5966018Z   test_torch_nn_MSELoss_scalar (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5966344Z   test_torch_nn_MSELoss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5966665Z   test_torch_nn_MarginRankingLoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5967011Z   test_torch_nn_MarginRankingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5967356Z   test_torch_nn_MarginRankingLoss_margin (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5967745Z   test_torch_nn_MarginRankingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5968099Z   test_torch_nn_MarginRankingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5968475Z   test_torch_nn_MarginRankingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5968849Z   test_torch_nn_MarginRankingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5969224Z   test_torch_nn_MarginRankingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5969608Z   test_torch_nn_MarginRankingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5969982Z   test_torch_nn_MarginRankingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5970320Z   test_torch_nn_MaxPool1d (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5970626Z   test_torch_nn_MaxPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5970950Z   test_torch_nn_MaxPool1d_stride (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5971285Z   test_torch_nn_MaxPool1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5971618Z   test_torch_nn_MaxPool2d_3d_input (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5971942Z   test_torch_nn_MaxPool2d_3d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5972272Z   test_torch_nn_MaxPool2d_4d_input (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5972611Z   test_torch_nn_MaxPool2d_4d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5972916Z   test_torch_nn_MaxPool3d (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5973232Z   test_torch_nn_MaxPool3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5973558Z   test_torch_nn_MaxPool3d_stride (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5973889Z   test_torch_nn_MaxPool3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5974217Z   test_torch_nn_MaxPool3d_stride_padding (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5974569Z   test_torch_nn_MaxPool3d_stride_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5974892Z   test_torch_nn_Mish (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5975194Z   test_torch_nn_Mish_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5975494Z   test_torch_nn_Mish_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5975815Z   test_torch_nn_Mish_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5976153Z   test_torch_nn_MultiLabelMarginLoss (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5976653Z   test_torch_nn_MultiLabelMarginLoss_1d (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5977026Z   test_torch_nn_MultiLabelMarginLoss_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5977411Z   test_torch_nn_MultiLabelMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5977782Z   test_torch_nn_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5978163Z   test_torch_nn_MultiLabelMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5978553Z   test_torch_nn_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5978939Z   test_torch_nn_MultiLabelMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5979371Z   test_torch_nn_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5979742Z   test_torch_nn_MultiLabelMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5980117Z   test_torch_nn_MultiLabelSoftMarginLoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5980487Z   test_torch_nn_MultiLabelSoftMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5980862Z   test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5981304Z   test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5981703Z   test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5982104Z   test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5982482Z   test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5982878Z   test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5983265Z   test_torch_nn_MultiLabelSoftMarginLoss_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5983657Z   test_torch_nn_MultiLabelSoftMarginLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5984000Z   test_torch_nn_MultiMarginLoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5984314Z   test_torch_nn_MultiMarginLoss_1d (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5984654Z   test_torch_nn_MultiMarginLoss_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5985003Z   test_torch_nn_MultiMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5985343Z   test_torch_nn_MultiMarginLoss_margin (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5985694Z   test_torch_nn_MultiMarginLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5986033Z   test_torch_nn_MultiMarginLoss_p (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5986360Z   test_torch_nn_MultiMarginLoss_p_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5986701Z   test_torch_nn_MultiMarginLoss_weights (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5987058Z   test_torch_nn_MultiMarginLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5987384Z   test_torch_nn_NLLLoss (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5987657Z   test_torch_nn_NLLLoss_2d (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5987975Z   test_torch_nn_NLLLoss_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5988304Z   test_torch_nn_NLLLoss_2d_ignore_index (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5988632Z   test_torch_nn_NLLLoss_2d_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5988965Z   test_torch_nn_NLLLoss_2d_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5989301Z   test_torch_nn_NLLLoss_2d_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5989643Z   test_torch_nn_NLLLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5989947Z   test_torch_nn_NLLLoss_dim_is_3 (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5990274Z   test_torch_nn_NLLLoss_dim_is_3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5990633Z   test_torch_nn_NLLLoss_higher_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5990962Z   test_torch_nn_NLLLoss_higher_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5991298Z   test_torch_nn_NLLLoss_ignore_index (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.5991640Z   test_torch_nn_NLLLoss_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5991994Z   test_torch_nn_NLLLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.013s)
2022-11-23T01:46:53.5992340Z   test_torch_nn_NLLLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5992727Z   test_torch_nn_NLLLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.010s)
2022-11-23T01:46:53.5993083Z   test_torch_nn_NLLLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5993441Z   test_torch_nn_NLLLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.010s)
2022-11-23T01:46:53.5993782Z   test_torch_nn_NLLLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5994110Z   test_torch_nn_NLLLoss_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.5994495Z   test_torch_nn_NLLLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5994826Z   test_torch_nn_NLLLoss_weights_ignore_index (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5995181Z   test_torch_nn_NLLLoss_weights_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5995538Z   test_torch_nn_NLLLoss_weights_ignore_index_neg (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5995902Z   test_torch_nn_NLLLoss_weights_ignore_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5996220Z   test_torch_nn_PReLU_1d (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5996534Z   test_torch_nn_PReLU_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5996857Z   test_torch_nn_PReLU_1d_multiparam (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.5997198Z   test_torch_nn_PReLU_1d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5997508Z   test_torch_nn_PReLU_2d (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5997823Z   test_torch_nn_PReLU_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5998146Z   test_torch_nn_PReLU_2d_multiparam (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.5998474Z   test_torch_nn_PReLU_2d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5998795Z   test_torch_nn_PReLU_3d (__main__.TestCppApiParity) ... ok (0.017s)
2022-11-23T01:46:53.5999111Z   test_torch_nn_PReLU_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.5999438Z   test_torch_nn_PReLU_3d_multiparam (__main__.TestCppApiParity) ... ok (0.017s)
2022-11-23T01:46:53.5999765Z   test_torch_nn_PReLU_3d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6000098Z   test_torch_nn_PReLU_scalar (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6000421Z   test_torch_nn_PReLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6000736Z   test_torch_nn_PairwiseDistance (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6001068Z   test_torch_nn_PairwiseDistance_broadcast_lhs (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6001442Z   test_torch_nn_PairwiseDistance_broadcast_lhs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6001811Z   test_torch_nn_PairwiseDistance_broadcast_rhs (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6002203Z   test_torch_nn_PairwiseDistance_broadcast_rhs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6002582Z   test_torch_nn_PairwiseDistance_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6002926Z   test_torch_nn_PairwiseDistance_no_batch_dim (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6003295Z   test_torch_nn_PairwiseDistance_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6003652Z   test_torch_nn_PairwiseDistance_with_non_default_args (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6004063Z   test_torch_nn_PairwiseDistance_with_non_default_args_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6004406Z   test_torch_nn_PixelShuffle (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6004722Z   test_torch_nn_PixelShuffle_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6005051Z   test_torch_nn_PixelUnshuffle (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.6005389Z   test_torch_nn_PixelUnshuffle_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6005730Z   test_torch_nn_PoissonNLLLoss_full_loss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6006071Z   test_torch_nn_PoissonNLLLoss_full_loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6006432Z   test_torch_nn_PoissonNLLLoss_full_loss_no_log_input (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6006806Z   test_torch_nn_PoissonNLLLoss_full_loss_no_log_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6007167Z   test_torch_nn_PoissonNLLLoss_no_full_loss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6007507Z   test_torch_nn_PoissonNLLLoss_no_full_loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6007871Z   test_torch_nn_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6008251Z   test_torch_nn_PoissonNLLLoss_no_full_loss_no_log_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6008574Z   test_torch_nn_RReLU (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6008885Z   test_torch_nn_RReLU_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.6009206Z   test_torch_nn_RReLU_with_up_down (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6009545Z   test_torch_nn_RReLU_with_up_down_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.6009872Z   test_torch_nn_RReLU_with_up_down_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6010225Z   test_torch_nn_RReLU_with_up_down_scalar_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.6010545Z   test_torch_nn_ReLU (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6010806Z   test_torch_nn_ReLU6 (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6011108Z   test_torch_nn_ReLU6_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6011415Z   test_torch_nn_ReLU6_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6011730Z   test_torch_nn_ReLU6_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6012051Z   test_torch_nn_ReLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6012356Z   test_torch_nn_ReLU_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6012672Z   test_torch_nn_ReLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6012992Z   test_torch_nn_ReflectionPad1d (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6013321Z   test_torch_nn_ReflectionPad1d_batch (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6013668Z   test_torch_nn_ReflectionPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6014019Z   test_torch_nn_ReflectionPad1d_complex (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6014357Z   test_torch_nn_ReflectionPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6014725Z   test_torch_nn_ReflectionPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6015053Z   test_torch_nn_ReflectionPad2d (__main__.TestCppApiParity) ... ok (0.020s)
2022-11-23T01:46:53.6015396Z   test_torch_nn_ReflectionPad2d_complex (__main__.TestCppApiParity) ... ok (0.029s)
2022-11-23T01:46:53.6015732Z   test_torch_nn_ReflectionPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6016101Z   test_torch_nn_ReflectionPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6016537Z   test_torch_nn_ReflectionPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.015s)
2022-11-23T01:46:53.6016887Z   test_torch_nn_ReflectionPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6017230Z   test_torch_nn_ReflectionPad3d (__main__.TestCppApiParity) ... ok (0.033s)
2022-11-23T01:46:53.6017544Z   test_torch_nn_ReflectionPad3d_complex (__main__.TestCppApiParity) ... ok (0.049s)
2022-11-23T01:46:53.6017895Z   test_torch_nn_ReflectionPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6018249Z   test_torch_nn_ReflectionPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6018590Z   test_torch_nn_ReflectionPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.021s)
2022-11-23T01:46:53.6018950Z   test_torch_nn_ReflectionPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6019293Z   test_torch_nn_ReplicationPad1d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6019597Z   test_torch_nn_ReplicationPad1d_batch (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6019944Z   test_torch_nn_ReplicationPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6020290Z   test_torch_nn_ReplicationPad1d_complex (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6020631Z   test_torch_nn_ReplicationPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6021009Z   test_torch_nn_ReplicationPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6021345Z   test_torch_nn_ReplicationPad2d (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.6021659Z   test_torch_nn_ReplicationPad2d_complex (__main__.TestCppApiParity) ... ok (0.016s)
2022-11-23T01:46:53.6022002Z   test_torch_nn_ReplicationPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6022371Z   test_torch_nn_ReplicationPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6022714Z   test_torch_nn_ReplicationPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6023062Z   test_torch_nn_ReplicationPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6023405Z   test_torch_nn_ReplicationPad3d (__main__.TestCppApiParity) ... ok (0.019s)
2022-11-23T01:46:53.6023721Z   test_torch_nn_ReplicationPad3d_complex (__main__.TestCppApiParity) ... ok (0.028s)
2022-11-23T01:46:53.6024077Z   test_torch_nn_ReplicationPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6024432Z   test_torch_nn_ReplicationPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6024824Z   test_torch_nn_ReplicationPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.014s)
2022-11-23T01:46:53.6025188Z   test_torch_nn_ReplicationPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6025511Z   test_torch_nn_SELU (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6025800Z   test_torch_nn_SELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6026109Z   test_torch_nn_SELU_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6026428Z   test_torch_nn_SELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6026782Z   test_torch_nn_SampleModule_has_parity (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.6027133Z   test_torch_nn_SampleModule_has_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6027499Z   test_torch_nn_SampleModule_no_parity (__main__.TestCppApiParity) ... expected failure (0.011s)
2022-11-23T01:46:53.6027858Z   test_torch_nn_SampleModule_no_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6028166Z   test_torch_nn_SiLU (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6028463Z   test_torch_nn_SiLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6028770Z   test_torch_nn_SiLU_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6029077Z   test_torch_nn_SiLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6029388Z   test_torch_nn_Sigmoid (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6029697Z   test_torch_nn_Sigmoid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6030012Z   test_torch_nn_Sigmoid_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6030327Z   test_torch_nn_Sigmoid_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6030643Z   test_torch_nn_SmoothL1Loss (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6030965Z   test_torch_nn_SmoothL1Loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6031275Z   test_torch_nn_SmoothL1Loss_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6031611Z   test_torch_nn_SmoothL1Loss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6031939Z   test_torch_nn_SoftMarginLoss (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6032269Z   test_torch_nn_SoftMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6032615Z   test_torch_nn_SoftMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.6032993Z   test_torch_nn_SoftMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6033365Z   test_torch_nn_SoftMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.6033736Z   test_torch_nn_SoftMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6034090Z   test_torch_nn_SoftMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s)
2022-11-23T01:46:53.6034533Z   test_torch_nn_SoftMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6034862Z   test_torch_nn_Softmax (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6035137Z   test_torch_nn_Softmax2d (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.6035450Z   test_torch_nn_Softmax2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6035775Z   test_torch_nn_Softmax2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6036149Z   test_torch_nn_Softmax2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6036487Z   test_torch_nn_Softmax_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6036810Z   test_torch_nn_Softmax_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6037143Z   test_torch_nn_Softmax_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6037464Z   test_torch_nn_Softmax_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6037776Z   test_torch_nn_Softmax_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6038131Z   test_torch_nn_Softmin (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6038442Z   test_torch_nn_Softmin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6038746Z   test_torch_nn_Softmin_multidim (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6039073Z   test_torch_nn_Softmin_multidim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6039401Z   test_torch_nn_Softmin_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6039737Z   test_torch_nn_Softmin_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6040048Z   test_torch_nn_Softmin_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6040372Z   test_torch_nn_Softmin_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6040687Z   test_torch_nn_Softplus (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6040965Z   test_torch_nn_Softplus_beta (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6041285Z   test_torch_nn_Softplus_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6041617Z   test_torch_nn_Softplus_beta_threshold (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6041957Z   test_torch_nn_Softplus_beta_threshold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6042291Z   test_torch_nn_Softplus_beta_threshold_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6042652Z   test_torch_nn_Softplus_beta_threshold_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6043008Z   test_torch_nn_Softplus_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6043322Z   test_torch_nn_Softshrink (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6043627Z   test_torch_nn_Softshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6043946Z   test_torch_nn_Softshrink_lambda (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6044279Z   test_torch_nn_Softshrink_lambda_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6044612Z   test_torch_nn_Softshrink_lambda_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6044954Z   test_torch_nn_Softshrink_lambda_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6045274Z   test_torch_nn_Softsign (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6045583Z   test_torch_nn_Softsign_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6045882Z   test_torch_nn_Softsign_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6046211Z   test_torch_nn_Softsign_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6046525Z   test_torch_nn_Tanh (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6046817Z   test_torch_nn_Tanh_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6047163Z   test_torch_nn_Tanh_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6047485Z   test_torch_nn_Tanh_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6047808Z   test_torch_nn_Tanhshrink (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6048113Z   test_torch_nn_Tanhshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6048440Z   test_torch_nn_Tanhshrink_scalar (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6048775Z   test_torch_nn_Tanhshrink_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6049100Z   test_torch_nn_Threshold_large_value (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6049479Z   test_torch_nn_Threshold_large_value_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6049824Z   test_torch_nn_Threshold_threshold_value (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6050181Z   test_torch_nn_Threshold_threshold_value_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6050522Z   test_torch_nn_Threshold_threshold_value_scalar (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6050888Z   test_torch_nn_Threshold_threshold_value_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6051272Z   test_torch_nn_TransformerDecoderLayer_gelu_activation (__main__.TestCppApiParity) ... ok (0.051s)
2022-11-23T01:46:53.6051674Z   test_torch_nn_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6052063Z   test_torch_nn_TransformerDecoderLayer_relu_activation (__main__.TestCppApiParity) ... ok (0.051s)
2022-11-23T01:46:53.6052465Z   test_torch_nn_TransformerDecoderLayer_relu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6052868Z   test_torch_nn_TransformerEncoderLayer_gelu_activation (__main__.TestCppApiParity) ... ok (0.038s)
2022-11-23T01:46:53.6053258Z   test_torch_nn_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6053655Z   test_torch_nn_TransformerEncoderLayer_relu_activation (__main__.TestCppApiParity) ... ok (0.038s)
2022-11-23T01:46:53.6054054Z   test_torch_nn_TransformerEncoderLayer_relu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6054425Z   test_torch_nn_Transformer_multilayer_coder (__main__.TestCppApiParity) ... ok (0.167s)
2022-11-23T01:46:53.6054771Z   test_torch_nn_Transformer_multilayer_coder_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6055141Z   test_torch_nn_TripletMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6055520Z   test_torch_nn_TripletMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6055891Z   test_torch_nn_TripletMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6056253Z   test_torch_nn_TripletMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6056811Z   test_torch_nn_TripletMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6057186Z   test_torch_nn_TripletMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6057536Z   test_torch_nn_Unflatten_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6057870Z   test_torch_nn_Unflatten_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6058192Z   test_torch_nn_Unfold (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6058503Z   test_torch_nn_Unfold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6058859Z   test_torch_nn_Unfold_int_input (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6059192Z   test_torch_nn_Unfold_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6059512Z   test_torch_nn_ZeroPad2d (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6059814Z   test_torch_nn_ZeroPad2d_complex (__main__.TestCppApiParity) ... ok (0.013s)
2022-11-23T01:46:53.6060137Z   test_torch_nn_ZeroPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6060491Z   test_torch_nn_ZeroPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6060859Z   test_torch_nn_ZeroPad2d_negative_dims (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6061196Z   test_torch_nn_ZeroPad2d_negative_dims_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6061540Z   test_torch_nn_ZeroPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s)
2022-11-23T01:46:53.6061883Z   test_torch_nn_ZeroPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6062227Z   test_torch_nn_functional_BCELoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6062565Z   test_torch_nn_functional_BCELoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6062920Z   test_torch_nn_functional_BCELoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6063288Z   test_torch_nn_functional_BCELoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6063653Z   test_torch_nn_functional_BCELoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6064009Z   test_torch_nn_functional_BCELoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6064382Z   test_torch_nn_functional_BCELoss_weights_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6064764Z   test_torch_nn_functional_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6065528Z   test_torch_nn_functional_BCEWithLogitsLoss_legacy_enum (__main__.TestCppApiParity) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T01:46:53.6065960Z   warnings.warn(warning.format(ret))
2022-11-23T01:46:53.6066154Z ok (0.006s)
2022-11-23T01:46:53.6066447Z   test_torch_nn_functional_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6066817Z   test_torch_nn_functional_BCEWithLogitsLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6067198Z   test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6067582Z   test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6067973Z   test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6068356Z   test_torch_nn_functional_HingeEmbeddingLoss_margin_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6068753Z   test_torch_nn_functional_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6069142Z   test_torch_nn_functional_HingeEmbeddingLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6069530Z   test_torch_nn_functional_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6069881Z   test_torch_nn_functional_HuberLoss_delta (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6070266Z   test_torch_nn_functional_HuberLoss_delta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6070617Z   test_torch_nn_functional_KLDivLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6070980Z   test_torch_nn_functional_KLDivLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6071333Z   test_torch_nn_functional_KLDivLoss_no_reduce_log_target (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6071711Z   test_torch_nn_functional_KLDivLoss_no_reduce_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6072115Z   test_torch_nn_functional_KLDivLoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6072478Z   test_torch_nn_functional_KLDivLoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6072861Z   test_torch_nn_functional_KLDivLoss_no_reduce_scalar_log_target (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6073255Z   test_torch_nn_functional_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6073644Z   test_torch_nn_functional_KLDivLoss_with_log_target_no_reduce (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6074019Z   test_torch_nn_functional_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6074477Z   test_torch_nn_functional_KLDivLoss_with_target_no_reduce (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6074867Z   test_torch_nn_functional_KLDivLoss_with_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6075228Z   test_torch_nn_functional_L1Loss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6075550Z   test_torch_nn_functional_L1Loss_no_reduce_complex (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6075919Z   test_torch_nn_functional_L1Loss_no_reduce_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6076300Z   test_torch_nn_functional_L1Loss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6076655Z   test_torch_nn_functional_L1Loss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6077006Z   test_torch_nn_functional_L1Loss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6077358Z   test_torch_nn_functional_MSELoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6077712Z   test_torch_nn_functional_MSELoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6078069Z   test_torch_nn_functional_MSELoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6078427Z   test_torch_nn_functional_MSELoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6078811Z   test_torch_nn_functional_MultiLabelMarginLoss_0d_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6079205Z   test_torch_nn_functional_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6079586Z   test_torch_nn_functional_MultiLabelMarginLoss_1d_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6079976Z   test_torch_nn_functional_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6080367Z   test_torch_nn_functional_MultiLabelMarginLoss_index_neg (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6080757Z   test_torch_nn_functional_MultiLabelMarginLoss_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6081167Z   test_torch_nn_functional_MultiLabelMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6081559Z   test_torch_nn_functional_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6081954Z   test_torch_nn_functional_MultiLabelSoftMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6082360Z   test_torch_nn_functional_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6082758Z   test_torch_nn_functional_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6083213Z   test_torch_nn_functional_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6083608Z   test_torch_nn_functional_MultiMarginLoss_1d_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6083990Z   test_torch_nn_functional_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6084360Z   test_torch_nn_functional_MultiMarginLoss_margin_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6084745Z   test_torch_nn_functional_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6085121Z   test_torch_nn_functional_MultiMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6085496Z   test_torch_nn_functional_MultiMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6085858Z   test_torch_nn_functional_MultiMarginLoss_p_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6086238Z   test_torch_nn_functional_MultiMarginLoss_p_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6086621Z   test_torch_nn_functional_MultiMarginLoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6087013Z   test_torch_nn_functional_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6087366Z   test_torch_nn_functional_NLLLoss2d_no_reduce (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6087723Z   test_torch_nn_functional_NLLLoss2d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6088091Z   test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6088463Z   test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6088840Z   test_torch_nn_functional_NLLLoss2d_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6089215Z   test_torch_nn_functional_NLLLoss2d_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6089576Z   test_torch_nn_functional_NLLLossNd_no_reduce (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6089923Z   test_torch_nn_functional_NLLLossNd_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6090288Z   test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6090671Z   test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6091044Z   test_torch_nn_functional_NLLLossNd_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6091413Z   test_torch_nn_functional_NLLLossNd_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6091770Z   test_torch_nn_functional_NLLLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6092155Z   test_torch_nn_functional_NLLLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6092520Z   test_torch_nn_functional_NLLLoss_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6092882Z   test_torch_nn_functional_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6093249Z   test_torch_nn_functional_NLLLoss_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6093614Z   test_torch_nn_functional_NLLLoss_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6094031Z   test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6094425Z   test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6094823Z   test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6095227Z   test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6095595Z   test_torch_nn_functional_Padding122112_3dcircular (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6095960Z   test_torch_nn_functional_Padding122112_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6096320Z   test_torch_nn_functional_Padding1221_2dcircular (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6096824Z   test_torch_nn_functional_Padding1221_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6097172Z   test_torch_nn_functional_Padding12_1dcircular (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6097536Z   test_torch_nn_functional_Padding12_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6097898Z   test_torch_nn_functional_Padding2322_2dcircular (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6098261Z   test_torch_nn_functional_Padding2322_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6098610Z   test_torch_nn_functional_Padding31_1dcircular (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6098971Z   test_torch_nn_functional_Padding31_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6099329Z   test_torch_nn_functional_Padding322112_3dcircular (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6099698Z   test_torch_nn_functional_Padding322112_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6100044Z   test_torch_nn_functional_Padding332122_3dcircular (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6100410Z   test_torch_nn_functional_Padding332122_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6100764Z   test_torch_nn_functional_Padding3331_2dcircular (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6101115Z   test_torch_nn_functional_Padding3331_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6101473Z   test_torch_nn_functional_Padding33_1dcircular (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6101833Z   test_torch_nn_functional_Padding33_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6102198Z   test_torch_nn_functional_PoissonNLLLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6102558Z   test_torch_nn_functional_PoissonNLLLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6102959Z   test_torch_nn_functional_SmoothL1Loss_beta (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6103317Z   test_torch_nn_functional_SmoothL1Loss_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6103675Z   test_torch_nn_functional_SmoothL1Loss_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6104029Z   test_torch_nn_functional_SmoothL1Loss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6104402Z   test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6104787Z   test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6105186Z   test_torch_nn_functional_SmoothL1Loss_zero_beta (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6105537Z   test_torch_nn_functional_SmoothL1Loss_zero_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6105906Z   test_torch_nn_functional_SoftMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6106281Z   test_torch_nn_functional_SoftMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6106635Z   test_torch_nn_functional_interpolate_bicubic_2d (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6106997Z   test_torch_nn_functional_interpolate_bicubic_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6107370Z   test_torch_nn_functional_interpolate_bicubic_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6107756Z   test_torch_nn_functional_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6108120Z   test_torch_nn_functional_interpolate_bicubic_scale_2d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6108501Z   test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6108894Z   test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6109301Z   test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6109689Z   test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6110082Z   test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6110512Z   test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6110953Z   test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6111329Z   test_torch_nn_functional_interpolate_bicubic_tuple_2d (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6111692Z   test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6112088Z   test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6112506Z   test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6112862Z   test_torch_nn_functional_interpolate_bilinear_2d (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6113229Z   test_torch_nn_functional_interpolate_bilinear_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6113600Z   test_torch_nn_functional_interpolate_bilinear_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6114003Z   test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6114453Z   test_torch_nn_functional_interpolate_bilinear_scale_2d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6114836Z   test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6115224Z   test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6115628Z   test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6116053Z   test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6116448Z   test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6116877Z   test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6117083Z   test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6117250Z   test_torch_nn_functional_interpolate_bilinear_tuple_2d (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6117421Z   test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6117632Z   test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6117821Z   test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6117981Z   test_torch_nn_functional_interpolate_linear_1d (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6118155Z   test_torch_nn_functional_interpolate_linear_1d_align_corners (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6118357Z   test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6118543Z   test_torch_nn_functional_interpolate_linear_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6118711Z   test_torch_nn_functional_interpolate_linear_1d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6118905Z   test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6119069Z   test_torch_nn_functional_interpolate_linear_scale_1d (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6119236Z   test_torch_nn_functional_interpolate_linear_scale_1d_align_corners (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6119439Z   test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6119628Z   test_torch_nn_functional_interpolate_linear_scale_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6119793Z   test_torch_nn_functional_interpolate_linear_tuple_1d (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6119981Z   test_torch_nn_functional_interpolate_linear_tuple_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6120141Z   test_torch_nn_functional_interpolate_nearest_1d (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6120325Z   test_torch_nn_functional_interpolate_nearest_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6120513Z   test_torch_nn_functional_interpolate_nearest_1d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6120709Z   test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6120855Z   test_torch_nn_functional_interpolate_nearest_2d (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6121039Z   test_torch_nn_functional_interpolate_nearest_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6121214Z   test_torch_nn_functional_interpolate_nearest_2d_launch_configs (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6121415Z   test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6121610Z   test_torch_nn_functional_interpolate_nearest_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6121809Z   test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6121966Z   test_torch_nn_functional_interpolate_nearest_3d (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6122152Z   test_torch_nn_functional_interpolate_nearest_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6122317Z   test_torch_nn_functional_interpolate_nearest_3d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6122502Z   test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6122665Z   test_torch_nn_functional_interpolate_nearest_scale_1d (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6122857Z   test_torch_nn_functional_interpolate_nearest_scale_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6123023Z   test_torch_nn_functional_interpolate_nearest_scale_2d (__main__.TestCppApiParity) ... ok (0.009s)
2022-11-23T01:46:53.6123217Z   test_torch_nn_functional_interpolate_nearest_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6123381Z   test_torch_nn_functional_interpolate_nearest_scale_3d (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6123570Z   test_torch_nn_functional_interpolate_nearest_scale_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6123731Z   test_torch_nn_functional_interpolate_nearest_tuple_1d (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6123920Z   test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6124085Z   test_torch_nn_functional_interpolate_nearest_tuple_2d (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6124264Z   test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6124428Z   test_torch_nn_functional_interpolate_nearest_tuple_3d (__main__.TestCppApiParity) ... ok (0.012s)
2022-11-23T01:46:53.6124617Z   test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6124778Z   test_torch_nn_functional_interpolate_trilinear_3d (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6124966Z   test_torch_nn_functional_interpolate_trilinear_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6125133Z   test_torch_nn_functional_interpolate_trilinear_3d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6125330Z   test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6125496Z   test_torch_nn_functional_interpolate_trilinear_scale_3d (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6125697Z   test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners (__main__.TestCppApiParity) ... ok (0.011s)
2022-11-23T01:46:53.6125897Z   test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6126091Z   test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6126254Z   test_torch_nn_functional_interpolate_trilinear_tuple_3d (__main__.TestCppApiParity) ... ok (0.008s)
2022-11-23T01:46:53.6126433Z   test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners (__main__.TestCppApiParity) ... ok (0.007s)
2022-11-23T01:46:53.6126665Z   test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6126856Z   test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6127009Z   test_torch_nn_functional_log_softmax_dim0 (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6127187Z   test_torch_nn_functional_log_softmax_dim0_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6127336Z   test_torch_nn_functional_log_softmax_dim3 (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6127502Z   test_torch_nn_functional_log_softmax_dim3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6127656Z   test_torch_nn_functional_log_softmax_lastdim (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6127836Z   test_torch_nn_functional_log_softmax_lastdim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6127990Z   test_torch_nn_functional_log_softmax_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6128171Z   test_torch_nn_functional_log_softmax_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6128324Z   test_torch_nn_functional_log_softmax_spatial (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6128506Z   test_torch_nn_functional_log_softmax_spatial_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6128668Z   test_torch_nn_functional_log_softmax_spatial_special (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6128855Z   test_torch_nn_functional_log_softmax_spatial_special_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6129036Z   test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6129235Z   test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6129400Z   test_torch_nn_functional_sample_functional_has_parity (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6129596Z   test_torch_nn_functional_sample_functional_has_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6129777Z   test_torch_nn_functional_sample_functional_no_parity (__main__.TestCppApiParity) ... expected failure (0.004s)
2022-11-23T01:46:53.6129966Z   test_torch_nn_functional_sample_functional_no_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6130125Z   test_torch_nn_functional_softmax_functional_dim0 (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6130316Z   test_torch_nn_functional_softmax_functional_dim0_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.6130477Z   test_torch_nn_functional_softmax_functional_dim3 (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6130666Z   test_torch_nn_functional_softmax_functional_dim3_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.6130847Z   test_torch_nn_functional_softmax_functional_scalar (__main__.TestCppApiParity) ... ok (0.004s)
2022-11-23T01:46:53.6131043Z   test_torch_nn_functional_softmax_functional_scalar_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.6131193Z   test_torch_nn_functional_softmax_lastdim (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6131373Z   test_torch_nn_functional_softmax_lastdim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6131529Z   test_torch_nn_functional_softmax_lastdim_dtype (__main__.TestCppApiParity) ... ok (0.006s)
2022-11-23T01:46:53.6131719Z   test_torch_nn_functional_softmax_lastdim_dtype_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.6131894Z   test_torch_nn_functional_softmax_spatial (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6132071Z   test_torch_nn_functional_softmax_spatial_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6132231Z   test_torch_nn_functional_softmax_spatial_dtype (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6132410Z   test_torch_nn_functional_softmax_spatial_dtype_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s)
2022-11-23T01:46:53.6132570Z   test_torch_nn_functional_softmax_spatial_special (__main__.TestCppApiParity) ... ok (0.005s)
2022-11-23T01:46:53.6132757Z   test_torch_nn_functional_softmax_spatial_special_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s)
2022-11-23T01:46:53.6132767Z 
2022-11-23T01:46:53.6132994Z ----------------------------------------------------------------------
2022-11-23T01:46:53.6133077Z Ran 1100 tests in 5.776s
2022-11-23T01:46:53.6133083Z 
2022-11-23T01:46:53.6133181Z OK (skipped=550, expected failures=17)
2022-11-23T01:46:53.6133186Z 
2022-11-23T01:46:53.6133269Z Generating XML reports...
2022-11-23T01:46:53.6133581Z Generated XML report: test-reports/python-unittest/test_cpp_api_parity/TEST-TestCppApiParity-20221123014647.xml
2022-11-23T01:46:53.6133587Z 
2022-11-23T01:46:53.6133916Z ##[endgroup]
2022-11-23T01:46:53.6134214Z FINISHED PRINTING LOG FILE of test_cpp_api_parity (/var/lib/jenkins/workspace/test/test-reports/test_cpp_api_parity_s1yl6y1n)
2022-11-23T01:46:53.6134219Z 
2022-11-23T01:46:53.6134407Z Running test_cpp_extensions_aot_ninja ... [2022-11-23 01:46:53.562996]
2022-11-23T01:46:55.1611710Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:46:55.2599236Z running install
2022-11-23T01:46:55.2599915Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2022-11-23T01:46:55.2600365Z   warnings.warn(
2022-11-23T01:46:55.2692371Z running build
2022-11-23T01:46:55.2692564Z running build_py
2022-11-23T01:46:55.2736036Z creating build
2022-11-23T01:46:55.2736685Z creating build/lib.linux-x86_64-cpython-310
2022-11-23T01:46:55.2737290Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2022-11-23T01:46:55.2738088Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2022-11-23T01:46:55.2739414Z running build_ext
2022-11-23T01:46:55.3065171Z building 'torch_test_cpp_extension.cpp' extension
2022-11-23T01:46:55.3065698Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310
2022-11-23T01:46:55.3355503Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/build.ninja...
2022-11-23T01:46:55.3355825Z Compiling objects...
2022-11-23T01:46:55.3356061Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:46:56.2556937Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:46:56.2558597Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:14:0,
2022-11-23T01:46:56.2559061Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2022-11-23T01:46:56.2559510Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/torch/extension.h:6,
2022-11-23T01:46:56.2559836Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:1:
2022-11-23T01:46:56.2562106Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2022-11-23T01:46:56.2562510Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:36:53:   required from here
2022-11-23T01:46:56.2563282Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::<anonymous>’ [-Wattributes]
2022-11-23T01:46:56.2563766Z  class class_ : public detail::generic_type {
2022-11-23T01:46:56.2563964Z        ^~~~~~
2022-11-23T01:46:56.2564584Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2022-11-23T01:46:56.2649300Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:46:56.5961593Z building 'torch_test_cpp_extension.ort' extension
2022-11-23T01:46:56.6255861Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/build.ninja...
2022-11-23T01:46:56.6277031Z Compiling objects...
2022-11-23T01:46:56.6277355Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:46:57.5521654Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/ort_extension.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/ort_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:46:57.5568593Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/ort_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:46:57.8799879Z building 'torch_test_cpp_extension.rng' extension
2022-11-23T01:46:57.9103405Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/build.ninja...
2022-11-23T01:46:57.9104458Z Compiling objects...
2022-11-23T01:46:57.9104855Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:46:58.9641592Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:46:58.9644877Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0,
2022-11-23T01:46:58.9645749Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:6,
2022-11-23T01:46:58.9646387Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2022-11-23T01:46:58.9647081Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8,
2022-11-23T01:46:58.9647611Z                  from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6:
2022-11-23T01:46:58.9648344Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2022-11-23T01:46:58.9648770Z  # pragma unroll
2022-11-23T01:46:58.9649018Z  
2022-11-23T01:46:58.9691287Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:46:59.3121140Z running install_lib
2022-11-23T01:46:59.3166958Z creating install
2022-11-23T01:46:59.3167312Z creating install/opt
2022-11-23T01:46:59.3168318Z creating install/opt/conda
2022-11-23T01:46:59.3168681Z creating install/opt/conda/lib
2022-11-23T01:46:59.3169095Z creating install/opt/conda/lib/python3.10
2022-11-23T01:46:59.3169707Z creating install/opt/conda/lib/python3.10/site-packages
2022-11-23T01:46:59.3170370Z creating install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:46:59.3171414Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:46:59.3172471Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:46:59.3232684Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:46:59.3294169Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:46:59.3361002Z byte-compiling ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-310.pyc
2022-11-23T01:46:59.3361773Z running install_egg_info
2022-11-23T01:46:59.3476695Z running egg_info
2022-11-23T01:46:59.3477093Z creating torch_test_cpp_extension.egg-info
2022-11-23T01:46:59.3514147Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2022-11-23T01:46:59.3516111Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2022-11-23T01:46:59.3517832Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2022-11-23T01:46:59.3518769Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T01:46:59.3558716Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T01:46:59.3564304Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T01:46:59.3565028Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info
2022-11-23T01:46:59.3568851Z running install_scripts
2022-11-23T01:47:01.2401632Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:47:01.2622472Z running install
2022-11-23T01:47:01.2623527Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2022-11-23T01:47:01.2623913Z   warnings.warn(
2022-11-23T01:47:01.2716120Z running build
2022-11-23T01:47:01.2716358Z running build_ext
2022-11-23T01:47:01.3022691Z building 'no_python_abi_suffix_test' extension
2022-11-23T01:47:01.3023073Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build
2022-11-23T01:47:01.3023558Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310
2022-11-23T01:47:01.3309952Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/build.ninja...
2022-11-23T01:47:01.3310304Z Compiling objects...
2022-11-23T01:47:01.3310542Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:01.3895631Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -I/opt/conda/include/python3.10 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:47:01.3934872Z creating build/lib.linux-x86_64-cpython-310
2022-11-23T01:47:01.3936781Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so
2022-11-23T01:47:01.4519631Z running install_lib
2022-11-23T01:47:01.4563283Z creating install
2022-11-23T01:47:01.4563616Z creating install/opt
2022-11-23T01:47:01.4563929Z creating install/opt/conda
2022-11-23T01:47:01.4564234Z creating install/opt/conda/lib
2022-11-23T01:47:01.4564672Z creating install/opt/conda/lib/python3.10
2022-11-23T01:47:01.4565110Z creating install/opt/conda/lib/python3.10/site-packages
2022-11-23T01:47:01.4565550Z copying build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.10/site-packages
2022-11-23T01:47:01.4570546Z running install_egg_info
2022-11-23T01:47:01.4674532Z running egg_info
2022-11-23T01:47:01.4674825Z creating no_python_abi_suffix_test.egg-info
2022-11-23T01:47:01.4712598Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2022-11-23T01:47:01.4714526Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2022-11-23T01:47:01.4716585Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2022-11-23T01:47:01.4717226Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T01:47:01.4755811Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T01:47:01.4760931Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T01:47:01.4761683Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info
2022-11-23T01:47:01.4765862Z running install_scripts
2022-11-23T01:47:01.7841774Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:01.783799]
2022-11-23T01:47:04.0706767Z 
2022-11-23T01:47:04.0707370Z Expand the folded group to see the log file of test_cpp_extensions_aot_ninja
2022-11-23T01:47:04.0708458Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_ninja_wa2e1clz)
2022-11-23T01:47:04.0709138Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:47:04.0709364Z 
2022-11-23T01:47:04.0709475Z Running tests...
2022-11-23T01:47:04.0709918Z ----------------------------------------------------------------------
2022-11-23T01:47:04.0710531Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_ninja
2022-11-23T01:47:04.0710941Z   test_backward (__main__.TestCppExtensionAOT) ... ok (0.011s)
2022-11-23T01:47:04.0711379Z   test_cublas_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:04.0711985Z   test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:04.0712563Z   test_cuda_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:04.0712900Z   test_cusolver_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:04.0713221Z   test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:04.0713525Z   test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:04.0713883Z   test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:04.0714508Z   test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:04.0715070Z   test_add (__main__.TestORTTensor) ... ok (0.002s)
2022-11-23T01:47:04.0715337Z   test_conv_backend_override (__main__.TestORTTensor) ... ok (0.002s)
2022-11-23T01:47:04.0715601Z   test_unregistered (__main__.TestORTTensor) ... ok (0.006s)
2022-11-23T01:47:04.0715856Z   test_zeros (__main__.TestORTTensor) ... ok (0.001s)
2022-11-23T01:47:04.0716106Z   test_rng (__main__.TestRNGExtension) ... ok (0.003s)
2022-11-23T01:47:04.0716379Z   test_torch_library (__main__.TestTorchLibrary) ... skip: CUDA not found (0.001s)
2022-11-23T01:47:04.0716557Z 
2022-11-23T01:47:04.0716782Z ----------------------------------------------------------------------
2022-11-23T01:47:04.0717083Z Ran 15 tests in 0.031s
2022-11-23T01:47:04.0717198Z 
2022-11-23T01:47:04.0717274Z OK (skipped=5)
2022-11-23T01:47:04.0717377Z 
2022-11-23T01:47:04.0717464Z Generating XML reports...
2022-11-23T01:47:04.0717924Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestCppExtensionAOT-20221123014703.xml
2022-11-23T01:47:04.0718487Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestORTTensor-20221123014703.xml
2022-11-23T01:47:04.0719031Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestRNGExtension-20221123014703.xml
2022-11-23T01:47:04.0719561Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestTorchLibrary-20221123014703.xml
2022-11-23T01:47:04.0719798Z 
2022-11-23T01:47:04.0720061Z ##[endgroup]
2022-11-23T01:47:04.0720494Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_ninja_wa2e1clz)
2022-11-23T01:47:04.0720721Z 
2022-11-23T01:47:04.0720916Z Running test_cpp_extensions_aot_no_ninja ... [2022-11-23 01:47:04.070913]
2022-11-23T01:47:05.6302452Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:47:05.7277473Z running install
2022-11-23T01:47:05.7278574Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2022-11-23T01:47:05.7278965Z   warnings.warn(
2022-11-23T01:47:05.7373357Z running build
2022-11-23T01:47:05.7373609Z running build_py
2022-11-23T01:47:05.7417886Z creating build
2022-11-23T01:47:05.7418495Z creating build/lib.linux-x86_64-cpython-310
2022-11-23T01:47:05.7419114Z creating build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2022-11-23T01:47:05.7419613Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension
2022-11-23T01:47:05.7420944Z running build_ext
2022-11-23T01:47:05.7434404Z building 'torch_test_cpp_extension.cpp' extension
2022-11-23T01:47:05.7434763Z creating build/temp.linux-x86_64-cpython-310
2022-11-23T01:47:05.7437944Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c extension.cpp -o build/temp.linux-x86_64-cpython-310/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:47:06.6101079Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/Exceptions.h:14:0,
2022-11-23T01:47:06.6101890Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11,
2022-11-23T01:47:06.6102773Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/torch/extension.h:6,
2022-11-23T01:47:06.6103206Z                  from extension.cpp:1:
2022-11-23T01:47:06.6103869Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_<MatrixMultiplier>’:
2022-11-23T01:47:06.6104218Z extension.cpp:36:53:   required from here
2022-11-23T01:47:06.6104913Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than the type of its field ‘pybind11::class_<MatrixMultiplier>::<anonymous>’ [-Wattributes]
2022-11-23T01:47:06.6105380Z  class class_ : public detail::generic_type {
2022-11-23T01:47:06.6105668Z        ^~~~~~
2022-11-23T01:47:06.6106251Z /opt/conda/lib/python3.10/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_<MatrixMultiplier>’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes]
2022-11-23T01:47:06.6108447Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:47:06.9419165Z building 'torch_test_cpp_extension.ort' extension
2022-11-23T01:47:06.9421031Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c ort_extension.cpp -o build/temp.linux-x86_64-cpython-310/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:47:07.7922228Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/ort_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:47:08.0977296Z building 'torch_test_cpp_extension.rng' extension
2022-11-23T01:47:08.0979616Z gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -I/opt/conda/lib/python3.10/site-packages/torch/include -I/opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/lib/python3.10/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.10 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-310/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14
2022-11-23T01:47:09.0162762Z In file included from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0,
2022-11-23T01:47:09.0163350Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:6,
2022-11-23T01:47:09.0163953Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Loops.h:37,
2022-11-23T01:47:09.0164439Z                  from /opt/conda/lib/python3.10/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8,
2022-11-23T01:47:09.0164749Z                  from rng_extension.cpp:6:
2022-11-23T01:47:09.0165179Z /opt/conda/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll  [-Wunknown-pragmas]
2022-11-23T01:47:09.0165487Z  # pragma unroll
2022-11-23T01:47:09.0165651Z  
2022-11-23T01:47:09.0169535Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib build/temp.linux-x86_64-cpython-310/rng_extension.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so
2022-11-23T01:47:09.3605217Z running install_lib
2022-11-23T01:47:09.3652297Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/cpp.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:09.3723636Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/ort.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:09.3795764Z copying build/lib.linux-x86_64-cpython-310/torch_test_cpp_extension/rng.cpython-310-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension
2022-11-23T01:47:09.3874843Z running install_egg_info
2022-11-23T01:47:09.3988422Z running egg_info
2022-11-23T01:47:09.4024256Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2022-11-23T01:47:09.4032070Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2022-11-23T01:47:09.4038842Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2022-11-23T01:47:09.4088814Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T01:47:09.4094955Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2022-11-23T01:47:09.4103899Z removing './install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info' (and everything under it)
2022-11-23T01:47:09.4105601Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.10/site-packages/torch_test_cpp_extension-0.0.0-py3.10.egg-info
2022-11-23T01:47:09.4110702Z running install_scripts
2022-11-23T01:47:11.2836168Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:47:11.3058568Z running install
2022-11-23T01:47:11.3059683Z /opt/conda/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
2022-11-23T01:47:11.3060373Z   warnings.warn(
2022-11-23T01:47:11.3152520Z running build
2022-11-23T01:47:11.3152827Z running build_ext
2022-11-23T01:47:11.3460315Z building 'no_python_abi_suffix_test' extension
2022-11-23T01:47:11.3747875Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/build.ninja...
2022-11-23T01:47:11.3756537Z Compiling objects...
2022-11-23T01:47:11.3756940Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:11.4014699Z ninja: no work to do.
2022-11-23T01:47:11.4052976Z g++ -pthread -B /opt/conda/compiler_compat -shared -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib -Wl,-rpath,/opt/conda/lib -Wl,-rpath-link,/opt/conda/lib -L/opt/conda/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-310/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so
2022-11-23T01:47:11.4654573Z running install_lib
2022-11-23T01:47:11.4698339Z copying build/lib.linux-x86_64-cpython-310/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.10/site-packages
2022-11-23T01:47:11.4703072Z running install_egg_info
2022-11-23T01:47:11.4809470Z running egg_info
2022-11-23T01:47:11.4846636Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2022-11-23T01:47:11.4868882Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2022-11-23T01:47:11.4875834Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2022-11-23T01:47:11.4920736Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T01:47:11.4926209Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2022-11-23T01:47:11.4933286Z removing './install/opt/conda/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info' (and everything under it)
2022-11-23T01:47:11.4935126Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.10/site-packages/no_python_abi_suffix_test-0.0.0-py3.10.egg-info
2022-11-23T01:47:11.4939087Z running install_scripts
2022-11-23T01:47:11.8018050Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:11.801405]
2022-11-23T01:47:14.1129620Z 
2022-11-23T01:47:14.1130242Z Expand the folded group to see the log file of test_cpp_extensions_aot_no_ninja
2022-11-23T01:47:14.1131279Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_5us5ox4m)
2022-11-23T01:47:14.1131808Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:47:14.1131987Z 
2022-11-23T01:47:14.1132064Z Running tests...
2022-11-23T01:47:14.1132470Z ----------------------------------------------------------------------
2022-11-23T01:47:14.1133029Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_no_ninja
2022-11-23T01:47:14.1133391Z   test_backward (__main__.TestCppExtensionAOT) ... ok (0.012s)
2022-11-23T01:47:14.1133749Z   test_cublas_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:14.1134067Z   test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:14.1134433Z   test_cuda_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:14.1134886Z   test_cusolver_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:14.1135317Z   test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:14.1135619Z   test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:14.1135947Z   test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:14.1136263Z   test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s)
2022-11-23T01:47:14.1136698Z   test_add (__main__.TestORTTensor) ... ok (0.001s)
2022-11-23T01:47:14.1136969Z   test_conv_backend_override (__main__.TestORTTensor) ... ok (0.001s)
2022-11-23T01:47:14.1137243Z   test_unregistered (__main__.TestORTTensor) ... ok (0.006s)
2022-11-23T01:47:14.1137482Z   test_zeros (__main__.TestORTTensor) ... ok (0.001s)
2022-11-23T01:47:14.1137732Z   test_rng (__main__.TestRNGExtension) ... ok (0.003s)
2022-11-23T01:47:14.1138017Z   test_torch_library (__main__.TestTorchLibrary) ... skip: CUDA not found (0.001s)
2022-11-23T01:47:14.1138191Z 
2022-11-23T01:47:14.1138401Z ----------------------------------------------------------------------
2022-11-23T01:47:14.1138635Z Ran 15 tests in 0.030s
2022-11-23T01:47:14.1138748Z 
2022-11-23T01:47:14.1138820Z OK (skipped=5)
2022-11-23T01:47:14.1138926Z 
2022-11-23T01:47:14.1139010Z Generating XML reports...
2022-11-23T01:47:14.1139459Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221123014713.xml
2022-11-23T01:47:14.1140197Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221123014713.xml
2022-11-23T01:47:14.1140748Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221123014713.xml
2022-11-23T01:47:14.1141305Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221123014713.xml
2022-11-23T01:47:14.1141545Z 
2022-11-23T01:47:14.1141809Z ##[endgroup]
2022-11-23T01:47:14.1142249Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_5us5ox4m)
2022-11-23T01:47:14.1142561Z 
2022-11-23T01:47:14.1142749Z Running test_cpp_extensions_jit ... [2022-11-23 01:47:14.113152]
2022-11-23T01:47:14.1143224Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:14.113374]
2022-11-23T01:47:45.5868802Z 
2022-11-23T01:47:45.5869508Z Expand the folded group to see the log file of test_cpp_extensions_jit
2022-11-23T01:47:45.5871275Z ##[group]PRINTING LOG FILE of test_cpp_extensions_jit (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_jit_nsewi470)
2022-11-23T01:47:45.5871971Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:47:45.5872230Z 
2022-11-23T01:47:45.5872352Z Running tests...
2022-11-23T01:47:45.5872824Z ----------------------------------------------------------------------
2022-11-23T01:47:45.5873457Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_jit
2022-11-23T01:47:45.5874045Z   test_autograd_from_cpp (__main__.TestCppExtensionJIT) ... ok (1.383s)
2022-11-23T01:47:45.5874658Z   test_compilation_error_formatting (__main__.TestCppExtensionJIT) ... ok (14.214s)
2022-11-23T01:47:45.5875081Z   test_cpp_frontend_module_has_same_output_as_python (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5875527Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/cpp_frontend_extension...
2022-11-23T01:47:45.5876057Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/cpp_frontend_extension/build.ninja...
2022-11-23T01:47:45.5876486Z Building extension module cpp_frontend_extension...
2022-11-23T01:47:45.5876967Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5878442Z [1/2] c++ -MMD -MF cpp_frontend_extension.o.d -DTORCH_EXTENSION_NAME=cpp_frontend_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/workspace/test/cpp_extensions/cpp_frontend_extension.cpp -o cpp_frontend_extension.o 
2022-11-23T01:47:45.5879601Z [2/2] c++ cpp_frontend_extension.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o cpp_frontend_extension.so
2022-11-23T01:47:45.5879975Z Loading extension module cpp_frontend_extension...
2022-11-23T01:47:45.5880186Z ok (1.293s)
2022-11-23T01:47:45.5880519Z   test_cpp_frontend_module_has_up_to_date_attributes (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5881040Z No modifications detected for re-loaded extension module cpp_frontend_extension, skipping build step...
2022-11-23T01:47:45.5881362Z Loading extension module cpp_frontend_extension...
2022-11-23T01:47:45.5881570Z ok (0.003s)
2022-11-23T01:47:45.5882052Z   test_cpp_frontend_module_python_inter_op (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5882562Z No modifications detected for re-loaded extension module cpp_frontend_extension, skipping build step...
2022-11-23T01:47:45.5882880Z Loading extension module cpp_frontend_extension...
2022-11-23T01:47:45.5883090Z ok (0.009s)
2022-11-23T01:47:45.5883367Z   test_cpp_frontend_module_python_inter_op_with_cuda (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.001s)
2022-11-23T01:47:45.5883799Z   test_custom_compound_op_autograd (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5884266Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module...
2022-11-23T01:47:45.5884618Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module/build.ninja...
2022-11-23T01:47:45.5884918Z Building extension module is_python_module...
2022-11-23T01:47:45.5885167Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5886456Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=is_python_module -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module/main.cpp -o main.o 
2022-11-23T01:47:45.5887503Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o is_python_module.so
2022-11-23T01:47:45.5887831Z Loading extension module is_python_module...
2022-11-23T01:47:45.5888482Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:47:45.5888909Z   warnings.warn(
2022-11-23T01:47:45.5889515Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:47:45.5889939Z   warnings.warn(
2022-11-23T01:47:45.5890534Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:47:45.5890949Z   warnings.warn(
2022-11-23T01:47:45.5891545Z /opt/conda/lib/python3.10/site-packages/torch/autograd/gradcheck.py:652: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T01:47:45.5891964Z   warnings.warn(
2022-11-23T01:47:45.5892121Z ok (1.268s)
2022-11-23T01:47:45.5892335Z   test_half_support (__main__.TestCppExtensionJIT)
2022-11-23T01:47:45.5892655Z Checks for an issue with operator< ambiguity for half when certain ... skip: Temporarily disabled (0.001s)
2022-11-23T01:47:45.5893024Z   test_inline_jit_compile_custom_op_cuda (__main__.TestCppExtensionJIT) ... skip: Temporarily disabled (0.001s)
2022-11-23T01:47:45.5893401Z   test_inline_jit_compile_extension_cuda (__main__.TestCppExtensionJIT) ... skip: Temporarily disabled (0.001s)
2022-11-23T01:47:45.5893896Z   test_inline_jit_compile_extension_multiple_sources_and_no_functions (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5894350Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension...
2022-11-23T01:47:45.5894714Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension/build.ninja...
2022-11-23T01:47:45.5895020Z Building extension module inline_jit_extension...
2022-11-23T01:47:45.5895274Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5896826Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension/main.cpp -o main.o 
2022-11-23T01:47:45.5897882Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension.so
2022-11-23T01:47:45.5898221Z Loading extension module inline_jit_extension...
2022-11-23T01:47:45.5898428Z ok (1.180s)
2022-11-23T01:47:45.5898713Z   test_inline_jit_compile_extension_throws_when_functions_is_bad (__main__.TestCppExtensionJIT) ... ok (0.001s)
2022-11-23T01:47:45.5899166Z   test_inline_jit_compile_extension_with_functions_as_dict (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5899610Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_dict...
2022-11-23T01:47:45.5900023Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_dict/build.ninja...
2022-11-23T01:47:45.5900375Z Building extension module inline_jit_extension_with_functions_dict...
2022-11-23T01:47:45.5900648Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5901984Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension_with_functions_dict -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_dict/main.cpp -o main.o 
2022-11-23T01:47:45.5903107Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension_with_functions_dict.so
2022-11-23T01:47:45.5903497Z Loading extension module inline_jit_extension_with_functions_dict...
2022-11-23T01:47:45.5903724Z ok (1.192s)
2022-11-23T01:47:45.5904070Z   test_inline_jit_compile_extension_with_functions_as_list (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5904522Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_list...
2022-11-23T01:47:45.5904939Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_list/build.ninja...
2022-11-23T01:47:45.5905353Z Building extension module inline_jit_extension_with_functions_list...
2022-11-23T01:47:45.5905634Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5906978Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension_with_functions_list -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/inline_jit_extension_with_functions_list/main.cpp -o main.o 
2022-11-23T01:47:45.5908149Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension_with_functions_list.so
2022-11-23T01:47:45.5908543Z Loading extension module inline_jit_extension_with_functions_list...
2022-11-23T01:47:45.5908775Z ok (1.173s)
2022-11-23T01:47:45.5909097Z   test_jit_compile_extension (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5909493Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/jit_extension...
2022-11-23T01:47:45.5909855Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/jit_extension/build.ninja...
2022-11-23T01:47:45.5910152Z Building extension module jit_extension...
2022-11-23T01:47:45.5910385Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5911764Z [1/3] c++ -MMD -MF jit_extension.o.d -DTORCH_EXTENSION_NAME=jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/jit_extension.cpp -o jit_extension.o 
2022-11-23T01:47:45.5913795Z [2/3] c++ -MMD -MF jit_extension2.o.d -DTORCH_EXTENSION_NAME=jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/jit_extension2.cpp -o jit_extension2.o 
2022-11-23T01:47:45.5915012Z [3/3] c++ jit_extension.o jit_extension2.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o jit_extension.so
2022-11-23T01:47:45.5915355Z Loading extension module jit_extension...
2022-11-23T01:47:45.5915558Z ok (1.460s)
2022-11-23T01:47:45.5915819Z   test_jit_cuda_archflags (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.001s)
2022-11-23T01:47:45.5916144Z   test_jit_cuda_extension (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.000s)
2022-11-23T01:47:45.5916481Z   test_jit_cudnn_extension (__main__.TestCppExtensionJIT) ... skip: CuDNN not found (0.001s)
2022-11-23T01:47:45.5916929Z   test_lenient_flag_handling_in_jit_extensions (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5917371Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/lenient_flag_handling_extension...
2022-11-23T01:47:45.5917754Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/lenient_flag_handling_extension/build.ninja...
2022-11-23T01:47:45.5918089Z Building extension module lenient_flag_handling_extension...
2022-11-23T01:47:45.5918355Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5919782Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=lenient_flag_handling_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -O0 -Wall -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/lenient_flag_handling_extension/main.cpp -o main.o 
2022-11-23T01:47:45.5920940Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o lenient_flag_handling_extension.so
2022-11-23T01:47:45.5921303Z Loading extension module lenient_flag_handling_extension...
2022-11-23T01:47:45.5921525Z ok (1.253s)
2022-11-23T01:47:45.5922323Z   test_reload_jit_extension (__main__.TestCppExtensionJIT) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80933 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:47:45.5923026Z   test_returns_shared_library_path_when_is_python_module_is_true (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5923619Z The input conditions for extension module is_python_module have changed. Bumping to version 1 and re-building as is_python_module_v1...
2022-11-23T01:47:45.5924022Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module/build.ninja...
2022-11-23T01:47:45.5924342Z Building extension module is_python_module_v1...
2022-11-23T01:47:45.5924606Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5925894Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=is_python_module_v1 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/is_python_module/main.cpp -o main.o 
2022-11-23T01:47:45.5926950Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o is_python_module_v1.so
2022-11-23T01:47:45.5927281Z Loading extension module is_python_module_v1...
2022-11-23T01:47:45.5927493Z ok (1.255s)
2022-11-23T01:47:45.5927842Z   test_set_default_type_also_changes_aten_default_type (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:45.5928286Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/test_set_default_type...
2022-11-23T01:47:45.5928687Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/test_set_default_type/build.ninja...
2022-11-23T01:47:45.5929009Z Building extension module test_set_default_type...
2022-11-23T01:47:45.5929269Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:45.5930576Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=test_set_default_type -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu117/test_set_default_type/main.cpp -o main.o 
2022-11-23T01:47:45.5931678Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o test_set_default_type.so
2022-11-23T01:47:45.5932023Z Loading extension module test_set_default_type...
2022-11-23T01:47:45.5932235Z ok (1.224s)
2022-11-23T01:47:45.5932525Z   test_warning (__main__.TestCppExtensionJIT) ... [W main.cpp:12] Warning: Error with CPUDoubleType (function foo)
2022-11-23T01:47:45.5932860Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo)
2022-11-23T01:47:45.5933148Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo)
2022-11-23T01:47:45.5933433Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo)
2022-11-23T01:47:45.5933817Z UserWarning: Error with torch.DoubleTensor (Triggered internally at /var/lib/jenkins/.cache/torch_extensions/py310_cu117/warn_mod/main.cpp:12.)
2022-11-23T01:47:45.5934110Z ok (2.505s)
2022-11-23T01:47:45.5934214Z 
2022-11-23T01:47:45.5934416Z ----------------------------------------------------------------------
2022-11-23T01:47:45.5934661Z Ran 23 tests in 29.434s
2022-11-23T01:47:45.5934774Z 
2022-11-23T01:47:45.5934833Z OK (skipped=8)
2022-11-23T01:47:45.5934939Z 
2022-11-23T01:47:45.5935025Z Generating XML reports...
2022-11-23T01:47:45.5935461Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_jit/TEST-TestCppExtensionJIT-20221123014715.xml
2022-11-23T01:47:45.5935708Z 
2022-11-23T01:47:45.5935990Z ##[endgroup]
2022-11-23T01:47:45.5936541Z FINISHED PRINTING LOG FILE of test_cpp_extensions_jit (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_jit_nsewi470)
2022-11-23T01:47:45.5936793Z 
2022-11-23T01:47:45.5937017Z Running test_cpp_extensions_open_device_registration ... [2022-11-23 01:47:45.587194]
2022-11-23T01:47:45.5937582Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_open_device_registration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:45.587498]
2022-11-23T01:47:49.1801012Z 
2022-11-23T01:47:49.1801752Z Expand the folded group to see the log file of test_cpp_extensions_open_device_registration
2022-11-23T01:47:49.1802947Z ##[group]PRINTING LOG FILE of test_cpp_extensions_open_device_registration (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_open_device_registration_t39wrc90)
2022-11-23T01:47:49.1803725Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:47:49.1803951Z 
2022-11-23T01:47:49.1804045Z Running tests...
2022-11-23T01:47:49.1826521Z ----------------------------------------------------------------------
2022-11-23T01:47:49.1827531Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_open_device_registration
2022-11-23T01:47:49.1828394Z   test_open_device_registration (__main__.TestCppExtensionOpenRgistration) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:47:49.1828845Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/custom_device_extension...
2022-11-23T01:47:49.1829389Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/custom_device_extension/build.ninja...
2022-11-23T01:47:49.1834148Z Building extension module custom_device_extension...
2022-11-23T01:47:49.1834642Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:47:49.1836779Z [1/2] c++ -MMD -MF open_registration_extension.o.d -DTORCH_EXTENSION_NAME=custom_device_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension.cpp -o open_registration_extension.o 
2022-11-23T01:47:49.1838847Z [2/2] c++ open_registration_extension.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o custom_device_extension.so
2022-11-23T01:47:49.1839252Z Loading extension module custom_device_extension...
2022-11-23T01:47:49.1839463Z ok (1.592s)
2022-11-23T01:47:49.1839567Z 
2022-11-23T01:47:49.1839766Z ----------------------------------------------------------------------
2022-11-23T01:47:49.1839993Z Ran 1 test in 1.593s
2022-11-23T01:47:49.1840105Z 
2022-11-23T01:47:49.1840168Z OK
2022-11-23T01:47:49.1840266Z 
2022-11-23T01:47:49.1840349Z Generating XML reports...
2022-11-23T01:47:49.1840849Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_open_device_registration/TEST-TestCppExtensionOpenRgistration-20221123014747.xml
2022-11-23T01:47:49.1841153Z 
2022-11-23T01:47:49.1841445Z ##[endgroup]
2022-11-23T01:47:49.1841933Z FINISHED PRINTING LOG FILE of test_cpp_extensions_open_device_registration (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_open_device_registration_t39wrc90)
2022-11-23T01:47:49.1842214Z 
2022-11-23T01:47:49.1842365Z Running test_cuda ... [2022-11-23 01:47:49.180188]
2022-11-23T01:47:49.1842802Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:49.180454]
2022-11-23T01:47:50.8330316Z 
2022-11-23T01:47:50.8330834Z Expand the folded group to see the log file of test_cuda
2022-11-23T01:47:50.8332004Z ##[group]PRINTING LOG FILE of test_cuda (/var/lib/jenkins/workspace/test/test-reports/test_cuda_23rge7s0)
2022-11-23T01:47:50.8332541Z CUDA not available, skipping tests
2022-11-23T01:47:50.8332772Z 
2022-11-23T01:47:50.8332910Z Running tests...
2022-11-23T01:47:50.8333604Z ----------------------------------------------------------------------
2022-11-23T01:47:50.8333904Z 
2022-11-23T01:47:50.8334163Z ----------------------------------------------------------------------
2022-11-23T01:47:50.8334407Z Ran 0 tests in 0.000s
2022-11-23T01:47:50.8334522Z 
2022-11-23T01:47:50.8334583Z OK
2022-11-23T01:47:50.8334673Z 
2022-11-23T01:47:50.8334745Z Generating XML reports...
2022-11-23T01:47:50.8335065Z Test results will be stored in test-reports/python-unittest/test_cuda
2022-11-23T01:47:50.8335240Z 
2022-11-23T01:47:50.8335471Z ##[endgroup]
2022-11-23T01:47:50.8336060Z FINISHED PRINTING LOG FILE of test_cuda (/var/lib/jenkins/workspace/test/test-reports/test_cuda_23rge7s0)
2022-11-23T01:47:50.8336394Z 
2022-11-23T01:47:50.8336855Z Running test_cuda_nvml_based_avail ... [2022-11-23 01:47:50.833148]
2022-11-23T01:47:50.8337679Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:50.833416]
2022-11-23T01:47:52.4587607Z 
2022-11-23T01:47:52.4588069Z Expand the folded group to see the log file of test_cuda_nvml_based_avail
2022-11-23T01:47:52.4589360Z ##[group]PRINTING LOG FILE of test_cuda_nvml_based_avail (/var/lib/jenkins/workspace/test/test-reports/test_cuda_nvml_based_avail_tyqtf58m)
2022-11-23T01:47:52.4589725Z CUDA not available, skipping tests
2022-11-23T01:47:52.4589879Z 
2022-11-23T01:47:52.4590125Z ##[endgroup]
2022-11-23T01:47:52.4590643Z FINISHED PRINTING LOG FILE of test_cuda_nvml_based_avail (/var/lib/jenkins/workspace/test/test-reports/test_cuda_nvml_based_avail_tyqtf58m)
2022-11-23T01:47:52.4590878Z 
2022-11-23T01:47:52.4591064Z Running test_cuda_primary_ctx ... [2022-11-23 01:47:52.458807]
2022-11-23T01:47:52.4592210Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_primary_ctx.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:52.459048]
2022-11-23T01:47:54.0549356Z 
2022-11-23T01:47:54.0549926Z Expand the folded group to see the log file of test_cuda_primary_ctx
2022-11-23T01:47:54.0550782Z ##[group]PRINTING LOG FILE of test_cuda_primary_ctx (/var/lib/jenkins/workspace/test/test-reports/test_cuda_primary_ctx_u1n103z1)
2022-11-23T01:47:54.0551109Z CUDA not available, skipping tests
2022-11-23T01:47:54.0551261Z 
2022-11-23T01:47:54.0551530Z ##[endgroup]
2022-11-23T01:47:54.0552071Z FINISHED PRINTING LOG FILE of test_cuda_primary_ctx (/var/lib/jenkins/workspace/test/test-reports/test_cuda_primary_ctx_u1n103z1)
2022-11-23T01:47:54.0552391Z 
2022-11-23T01:47:54.0552573Z Running test_cuda_trace ... [2022-11-23 01:47:54.055068]
2022-11-23T01:47:54.0555190Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_trace.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:54.055333]
2022-11-23T01:47:55.6386772Z 
2022-11-23T01:47:55.6387195Z Expand the folded group to see the log file of test_cuda_trace
2022-11-23T01:47:55.6387888Z ##[group]PRINTING LOG FILE of test_cuda_trace (/var/lib/jenkins/workspace/test/test-reports/test_cuda_trace_zht9bn5p)
2022-11-23T01:47:55.6388276Z CUDA not available, skipping tests
2022-11-23T01:47:55.6388430Z 
2022-11-23T01:47:55.6388632Z ##[endgroup]
2022-11-23T01:47:55.6389173Z FINISHED PRINTING LOG FILE of test_cuda_trace (/var/lib/jenkins/workspace/test/test-reports/test_cuda_trace_zht9bn5p)
2022-11-23T01:47:55.6389491Z 
2022-11-23T01:47:55.6389679Z Running test_dispatch ... [2022-11-23 01:47:55.638792]
2022-11-23T01:47:55.6391958Z Executing ['/opt/conda/bin/python', '-bb', 'test_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:47:55.639025]
2022-11-23T01:48:20.5527258Z 
2022-11-23T01:48:20.5527638Z Expand the folded group to see the log file of test_dispatch
2022-11-23T01:48:20.5543469Z ##[group]PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_xagivcls)
2022-11-23T01:48:20.5544327Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:48:20.5544550Z 
2022-11-23T01:48:20.5544681Z Running tests...
2022-11-23T01:48:20.5545138Z ----------------------------------------------------------------------
2022-11-23T01:48:20.5545590Z Test results will be stored in test-reports/python-unittest/test_dispatch
2022-11-23T01:48:20.5545885Z   test_all_invariants (__main__.TestDispatch) ... ok (0.242s)
2022-11-23T01:48:20.5546161Z   test_computed_table (__main__.TestDispatch) ... ok (7.067s)
2022-11-23T01:48:20.5546474Z   test_computed_table_with_ambiguous_autogradother (__main__.TestDispatch) ... ok (0.011s)
2022-11-23T01:48:20.5546786Z   test_computed_table_with_autograd (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T01:48:20.5547124Z   test_computed_table_with_cpu_autograd_defaultbackend (__main__.TestDispatch) ... ok (0.196s)
2022-11-23T01:48:20.5547471Z   test_computed_table_with_cpu_autograd_math (__main__.TestDispatch) ... ok (0.210s)
2022-11-23T01:48:20.5547820Z   test_computed_table_with_cpu_autograd_math_defaultbackend (__main__.TestDispatch) ... ok (6.622s)
2022-11-23T01:48:20.5548153Z   test_computed_table_with_cpu_defaultbackend (__main__.TestDispatch) ... ok (0.010s)
2022-11-23T01:48:20.5548655Z   test_computed_table_with_cpu_math (__main__.TestDispatch) ... ok (0.011s)
2022-11-23T01:48:20.5548997Z   test_computed_table_with_cpu_math_autogradcpu_fallthrough (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T01:48:20.5549327Z   test_computed_table_with_math (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T01:48:20.5549580Z   test_def (__main__.TestDispatch) ... ok (6.725s)
2022-11-23T01:48:20.5549851Z   test_def_impl_schema_mismatch (__main__.TestDispatch) ... ok (0.012s)
2022-11-23T01:48:20.5550121Z   test_def_only (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T01:48:20.5550382Z   test_def_with_explicit_alias (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T01:48:20.5550726Z   test_def_with_inference (__main__.TestDispatch) ... ok (0.225s)
2022-11-23T01:48:20.5551053Z   test_dispatch_print_registrations_for_dispatch_key_invalid (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T01:48:20.5551362Z   test_find_dangling_impls (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T01:48:20.5551737Z   test_find_dangling_impls_ext (__main__.TestDispatch) ... Using /var/lib/jenkins/.cache/torch_extensions/py310_cu117 as PyTorch extensions root...
2022-11-23T01:48:20.5552156Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py310_cu117/dangling_impl_extension...
2022-11-23T01:48:20.5552553Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py310_cu117/dangling_impl_extension/build.ninja...
2022-11-23T01:48:20.5552867Z Building extension module dangling_impl_extension...
2022-11-23T01:48:20.5553137Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T01:48:20.5554632Z [1/2] c++ -MMD -MF dangling_impl_extension.o.d -DTORCH_EXTENSION_NAME=dangling_impl_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.10/site-packages/torch/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.10/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.10/site-packages/torch/include/THC -isystem /opt/conda/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/dangling_impl_extension.cpp -o dangling_impl_extension.o 
2022-11-23T01:48:20.5555791Z [2/2] c++ dangling_impl_extension.o -shared -L/opt/conda/lib/python3.10/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o dangling_impl_extension.so
2022-11-23T01:48:20.5556175Z Loading extension module dangling_impl_extension...
2022-11-23T01:48:20.5556394Z ok (1.309s)
2022-11-23T01:48:20.5556603Z   test_impl_only (__main__.TestDispatch) ... ok (0.213s)
2022-11-23T01:48:20.5556895Z   test_multiple_def_alias_defaulting (__main__.TestDispatch) ... ok (0.009s)
2022-11-23T01:48:20.5557198Z   test_multiple_def_alias_mismatch (__main__.TestDispatch) ... ok (0.009s)
2022-11-23T01:48:20.5557474Z   test_multiple_def_error (__main__.TestDispatch) ... ok (0.009s)
2022-11-23T01:48:20.5557754Z   test_multiple_fallback (__main__.TestDispatch) ... ok (0.009s)
2022-11-23T01:48:20.5558154Z   test_overwrite_math (__main__.TestDispatch) ... [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T01:48:20.5558521Z   operator: __test45643__::foo
2022-11-23T01:48:20.5558697Z     no debug info
2022-11-23T01:48:20.5558882Z   dispatch key: (catch all)
2022-11-23T01:48:20.5559083Z   previous kernel: fn1
2022-11-23T01:48:20.5559295Z        new kernel: fn2 (function registerKernel)
2022-11-23T01:48:20.5559638Z [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T01:48:20.5559948Z   operator: __test45644__::foo
2022-11-23T01:48:20.5560124Z     no debug info
2022-11-23T01:48:20.5560312Z   dispatch key: (catch all)
2022-11-23T01:48:20.5560510Z   previous kernel: fn1
2022-11-23T01:48:20.5560720Z        new kernel: fn2 (function registerKernel)
2022-11-23T01:48:20.5560972Z ok (0.001s)
2022-11-23T01:48:20.5561215Z   test_autogradother (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:20.5561493Z   test_basic (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:20.5561801Z   test_defaultbackend_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:20.5562130Z   test_defaultbackend_math (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:20.5562453Z   test_duplicate_registrations (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:20.5562754Z   test_math_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T01:48:20.5563123Z   test_quantized_structured_not_implemented (__main__.TestPythonDispatcher) ... ok (0.025s)
2022-11-23T01:48:20.5563317Z 
2022-11-23T01:48:20.5563521Z ----------------------------------------------------------------------
2022-11-23T01:48:20.5563754Z Ran 32 tests in 22.931s
2022-11-23T01:48:20.5563868Z 
2022-11-23T01:48:20.5563932Z OK
2022-11-23T01:48:20.5564029Z 
2022-11-23T01:48:20.5564117Z Generating XML reports...
2022-11-23T01:48:20.5564519Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestDispatch-20221123014757.xml
2022-11-23T01:48:20.5565030Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestPythonDispatcher-20221123014757.xml
2022-11-23T01:48:20.5565305Z 
2022-11-23T01:48:20.5565602Z ##[endgroup]
2022-11-23T01:48:20.5566091Z FINISHED PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_xagivcls)
2022-11-23T01:48:20.5571995Z 
2022-11-23T01:48:20.5572251Z Running test_fake_tensor ... [2022-11-23 01:48:20.552815]
2022-11-23T01:48:20.5572929Z Executing ['/opt/conda/bin/python', '-bb', 'test_fake_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:20.553062]
2022-11-23T01:48:23.0574976Z 
2022-11-23T01:48:23.0575492Z Expand the folded group to see the log file of test_fake_tensor
2022-11-23T01:48:23.0576622Z ##[group]PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_n_jj971f)
2022-11-23T01:48:23.0577018Z 
2022-11-23T01:48:23.0579007Z Running tests...
2022-11-23T01:48:23.0579673Z ----------------------------------------------------------------------
2022-11-23T01:48:23.0580123Z Test results will be stored in test-reports/python-unittest/test_fake_tensor
2022-11-23T01:48:23.0580498Z   test_aliased_const_write (__main__.FakeTensorConstHandling) ... ok (0.250s)
2022-11-23T01:48:23.0580915Z   test_constant_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s)
2022-11-23T01:48:23.0581370Z   test_fake_tensor_batch_norm_cpu (__main__.FakeTensorConstHandling) ... ok (0.019s)
2022-11-23T01:48:23.0581797Z   test_fake_tensor_in_intlist_repro (__main__.FakeTensorConstHandling) ... ok (0.003s)
2022-11-23T01:48:23.0582116Z   test_inplace_add (__main__.FakeTensorConstHandling) ... ok (0.002s)
2022-11-23T01:48:23.0582433Z   test_inplace_view_invalidation (__main__.FakeTensorConstHandling) ... ok (0.001s)
2022-11-23T01:48:23.0582770Z   test_shared_storage_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s)
2022-11-23T01:48:23.0583568Z   test_shared_storages (__main__.FakeTensorConstHandling) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:48:23.0584098Z   warnings.warn(message, UserWarning)
2022-11-23T01:48:23.0584434Z ok (0.002s)
2022-11-23T01:48:23.0584865Z   test_simple (__main__.FakeTensorConstHandling) ... ok (0.001s)
2022-11-23T01:48:23.0585301Z   test_dead_key (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:23.0587940Z   test_dead_weak_ref (__main__.FakeTensorConverterTest) ... ok (0.002s)
2022-11-23T01:48:23.0589595Z   test_memoized_conversion_from_meta (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:23.0590092Z   test_memoized_conversion_to_meta (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:23.0590433Z   test_no_active_mode (__main__.FakeTensorConverterTest) ... ok (0.002s)
2022-11-23T01:48:23.0590730Z   test_no_ref_cycle (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:23.0591037Z   test_separate_mode_error (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:23.0591898Z   test_separate_tensor_storages_non_view (__main__.FakeTensorConverterTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:48:23.0592516Z   warnings.warn(message, UserWarning)
2022-11-23T01:48:23.0592717Z ok (0.002s)
2022-11-23T01:48:23.0592969Z   test_separate_tensor_storages_view (__main__.FakeTensorConverterTest) ... ok (0.001s)
2022-11-23T01:48:23.0593310Z   test_like_ops (__main__.FakeTensorOperatorInvariants) ... ok (0.015s)
2022-11-23T01:48:23.0593638Z   test_non_kwarg_only_device (__main__.FakeTensorOperatorInvariants) ... ok (0.060s)
2022-11-23T01:48:23.0593979Z   test_sparse_new (__main__.FakeTensorOperatorInvariants) ... expected failure (0.003s)
2022-11-23T01:48:23.0594465Z   test_tensor_constructors_all_have_kwarg_device (__main__.FakeTensorOperatorInvariants) ... ok (0.113s)
2022-11-23T01:48:23.0596877Z   test_fake_tensor_prop_on_nn_module (__main__.FakeTensorPropTest) ... /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py:564: UserWarning: Was not able to add assertion to guarantee correct input value to specialized function. It is up to the user to make sure that your inputs match the inputs you specialized the function with.
2022-11-23T01:48:23.0597699Z   warnings.warn(
2022-11-23T01:48:23.0597873Z ok (0.022s)
2022-11-23T01:48:23.0598082Z   test_basic (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:23.0598398Z   test_binary_op_type_promotion (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:23.0598676Z   test_constructor (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0598958Z   test_cpu_fallback (__main__.FakeTensorTest) ... skip: requires cuda (0.001s)
2022-11-23T01:48:23.0599313Z   test_cudnn_rnn (__main__.FakeTensorTest) ... skip: requires cuda (0.002s)
2022-11-23T01:48:23.0599608Z   test_data_dependent_operator (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0600383Z   test_deepcopy (__main__.FakeTensorTest) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:48:23.0600919Z   warnings.warn(message, UserWarning)
2022-11-23T01:48:23.0601112Z ok (0.005s)
2022-11-23T01:48:23.0601386Z   test_fake_dispatch_keys (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:23.0601698Z   test_fake_grad_copy (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0601961Z   test_fake_mode_error (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0602310Z   test_fallback_memory_prop (__main__.FakeTensorTest) ... skip: requires cuda (0.001s)
2022-11-23T01:48:23.0602600Z   test_from_numpy (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:23.0602939Z   test_index_cuda_with_cpu (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0603241Z   test_like_constructor (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0603518Z   test_mode (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0603817Z   test_nan_to_num (__main__.FakeTensorTest) ... ok (0.008s)
2022-11-23T01:48:23.0604085Z   test_new (__main__.FakeTensorTest) ... skip: requires cuda (0.001s)
2022-11-23T01:48:23.0604414Z   test_non_kwarg_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0604776Z   test_non_parameter_grad (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0605094Z   test_normalize_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0605406Z   test_parameter_instantiation (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0605695Z   test_print_in_fake_mode (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0606002Z   test_randperm (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:23.0606256Z   test_recursive_invocation (__main__.FakeTensorTest) ... ok (0.001s)
2022-11-23T01:48:23.0606532Z   test_scalar_inputs (__main__.FakeTensorTest) ... ok (0.002s)
2022-11-23T01:48:23.0606897Z   test_setitem (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0607203Z   test_shape_take_not_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0607537Z   test_throw (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0607823Z   test_type_as (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0608125Z   test_zero_dim (__main__.FakeTensorTest) ... skip: requires cuda (0.000s)
2022-11-23T01:48:23.0608318Z 
2022-11-23T01:48:23.0608515Z ----------------------------------------------------------------------
2022-11-23T01:48:23.0608759Z Ran 53 tests in 0.551s
2022-11-23T01:48:23.0608896Z 
2022-11-23T01:48:23.0609018Z OK (skipped=13, expected failures=1)
2022-11-23T01:48:23.0609149Z 
2022-11-23T01:48:23.0609232Z Generating XML reports...
2022-11-23T01:48:23.0609690Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221123014822.xml
2022-11-23T01:48:23.0610262Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221123014822.xml
2022-11-23T01:48:23.0610883Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221123014822.xml
2022-11-23T01:48:23.0611484Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20221123014822.xml
2022-11-23T01:48:23.0611978Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221123014822.xml
2022-11-23T01:48:23.0612249Z 
2022-11-23T01:48:23.0612558Z ##[endgroup]
2022-11-23T01:48:23.0612948Z FINISHED PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_n_jj971f)
2022-11-23T01:48:23.0613163Z 
2022-11-23T01:48:23.0613297Z Running test_fx ... [2022-11-23 01:48:23.057743]
2022-11-23T01:48:23.0613789Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:48:23.058036]
2022-11-23T01:52:51.6861571Z 
2022-11-23T01:52:51.6862026Z Expand the folded group to see the log file of test_fx
2022-11-23T01:52:51.6862845Z ##[group]PRINTING LOG FILE of test_fx (/var/lib/jenkins/workspace/test/test-reports/test_fx_1sshb7wg)
2022-11-23T01:52:51.6867704Z 
2022-11-23T01:52:51.6867950Z Running tests...
2022-11-23T01:52:51.6868402Z ----------------------------------------------------------------------
2022-11-23T01:52:51.6868877Z Test results will be stored in test-reports/python-unittest/test_fx
2022-11-23T01:52:51.6869194Z   test_annotate (fx.test_gradual_type.AnnotationsTest) ... ok (0.011s)
2022-11-23T01:52:51.6869496Z   test_annotations (fx.test_gradual_type.AnnotationsTest)
2022-11-23T01:52:51.6869767Z Test type annotations in the forward function. ... ok (0.003s)
2022-11-23T01:52:51.6870068Z   test_broadcasting1 (fx.test_gradual_type.AnnotationsTest) ... ok (0.001s)
2022-11-23T01:52:51.6870387Z   test_broadcasting2 (fx.test_gradual_type.AnnotationsTest) ... ok (0.001s)
2022-11-23T01:52:51.6870697Z   test_broadcasting3 (fx.test_gradual_type.AnnotationsTest) ... ok (0.001s)
2022-11-23T01:52:51.6870993Z   test_consistency (fx.test_gradual_type.AnnotationsTest)
2022-11-23T01:52:51.6871291Z Test the consistency relation. ... ok (0.001s)
2022-11-23T01:52:51.6871856Z   test_precision (fx.test_gradual_type.AnnotationsTest)
2022-11-23T01:52:51.6872106Z Test the consistency relation. ... ok (0.001s)
2022-11-23T01:52:51.6872367Z   test_banned_list (fx.test_cse_pass.TestCSEPass) ... ok (0.014s)
2022-11-23T01:52:51.6872643Z   test_empty (fx.test_cse_pass.TestCSEPass) ... ok (0.003s)
2022-11-23T01:52:51.6872926Z   test_immutable_list_multiple_entries (fx.test_cse_pass.TestCSEPass) ... ok (0.010s)
2022-11-23T01:52:51.6873237Z   test_immutable_list_type (fx.test_cse_pass.TestCSEPass) ... ok (0.009s)
2022-11-23T01:52:51.6873517Z   test_kwarg (fx.test_cse_pass.TestCSEPass) ... ok (0.006s)
2022-11-23T01:52:51.6873796Z   test_nested_immutable_list_type (fx.test_cse_pass.TestCSEPass) ... ok (0.006s)
2022-11-23T01:52:51.6874170Z   test_nochange (fx.test_cse_pass.TestCSEPass) ... ok (0.007s)
2022-11-23T01:52:51.6874446Z   test_rand_like (fx.test_cse_pass.TestCSEPass) ... ok (0.006s)
2022-11-23T01:52:51.6874808Z   test_rand_n (fx.test_cse_pass.TestCSEPass) ... ok (0.006s)
2022-11-23T01:52:51.6875064Z   test_random (fx.test_cse_pass.TestCSEPass) ... ok (0.081s)
2022-11-23T01:52:51.6875334Z   test_simple (fx.test_cse_pass.TestCSEPass) ... ok (0.009s)
2022-11-23T01:52:51.6875602Z   test_simple_2 (fx.test_cse_pass.TestCSEPass) ... ok (0.010s)
2022-11-23T01:52:51.6875878Z   test_simple_multiple_same_ops (fx.test_cse_pass.TestCSEPass) ... ok (0.008s)
2022-11-23T01:52:51.6876166Z   test_two_args (fx.test_cse_pass.TestCSEPass) ... ok (0.011s)
2022-11-23T01:52:51.6876451Z   test_two_args_default (fx.test_cse_pass.TestCSEPass) ... ok (0.014s)
2022-11-23T01:52:51.6876786Z   test_correctness_CSEPass_MutationInput_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.008s)
2022-11-23T01:52:51.6877256Z   test_correctness_CSEPass_MutationMetadata_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.005s)
2022-11-23T01:52:51.6877654Z   test_correctness_CSEPass_MutationTorchTensorCall_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.006s)
2022-11-23T01:52:51.6878038Z   test_correctness_CSEPass_Mutation_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.006s)
2022-11-23T01:52:51.6878393Z   test_correctness_CSEPass_ReturnList_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.007s)
2022-11-23T01:52:51.6878760Z   test_correctness_CSEPass_TakeList_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.004s)
2022-11-23T01:52:51.6879160Z   test_correctness_factory_CSEPass_FactoryFunctionCall_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.005s)
2022-11-23T01:52:51.6879558Z   test_correctness_factory_CSEPass_MutationFactory_cpu (fx.test_common_passes.TestCommonPass) ... ok (0.006s)
2022-11-23T01:52:51.6879895Z   test_check_inline_non_const (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6880887Z Perform constant folding conversion and check that the non-const module is inlined ... /opt/conda/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:248: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2022-11-23T01:52:51.6881545Z   new_node = root_const_gm.graph.get_attr(in_node.target)
2022-11-23T01:52:51.6881754Z ok (0.007s)
2022-11-23T01:52:51.6881997Z   test_check_inline_non_const_mult_return (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6882400Z Perform constant folding conversion and check that the non-const module is inlined ... ok (0.007s)
2022-11-23T01:52:51.6882748Z   test_check_skip_folding_quant_dequant_pattern (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6883082Z Set up skip_folding_quant_dequant function to skip quant/dequant pattern. ... ok (0.022s)
2022-11-23T01:52:51.6883409Z   test_const_fold_basic_one_attr_name_collision (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6883738Z Perform constant folding conversion, from original mod to split constant folding ... ok (0.006s)
2022-11-23T01:52:51.6884124Z   test_const_fold_basic_one_attr_no_name_collision (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6884463Z Perform constant folding conversion, from original mod to split constant folding ... ok (0.006s)
2022-11-23T01:52:51.6884788Z   test_const_fold_basic_placeholder_reordered (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6885116Z Test code path where placeholder comes after normal op node in FX ... ok (0.003s)
2022-11-23T01:52:51.6885423Z   test_const_fold_basic_two_attr (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6885741Z Perform constant folding conversion, from original mod to split constant ... ok (0.005s)
2022-11-23T01:52:51.6886051Z   test_const_fold_basic_two_attr_three_input (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6886414Z Perform constant folding conversion, from original mod to split constant ... ok (0.005s)
2022-11-23T01:52:51.6886755Z   test_const_fold_has_inlined_call_module_node (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s)
2022-11-23T01:52:51.6887349Z   test_const_fold_module_attr (fx.test_fx_const_fold.TestConstFold) ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:973: UserWarning: Failed to fetch module mod!
2022-11-23T01:52:51.6887712Z   warnings.warn(f"Failed to fetch module {module_path}!")
2022-11-23T01:52:51.6887922Z ok (0.006s)
2022-11-23T01:52:51.6888263Z   test_const_fold_multi_const_folded_attrs (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6888749Z Perform constant folding conversion, from original mod to split constant ... ok (0.007s)
2022-11-23T01:52:51.6889165Z   test_const_fold_noop (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6889464Z Check that a graph with no constant folding is handled correctly. ... ok (0.003s)
2022-11-23T01:52:51.6889839Z   test_const_fold_submod_hierarchy (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6890519Z Perform constant folding conversion, from original mod to split constant folding ... /opt/conda/lib/python3.10/site-packages/torch/fx/graph.py:973: UserWarning: Failed to fetch module my_mod!
2022-11-23T01:52:51.6890960Z   warnings.warn(f"Failed to fetch module {module_path}!")
2022-11-23T01:52:51.6891225Z ok (0.005s)
2022-11-23T01:52:51.6891494Z   test_const_fold_tensor_meta (fx.test_fx_const_fold.TestConstFold) ... ok (0.010s)
2022-11-23T01:52:51.6891899Z   test_const_fold_unused_placeholder (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s)
2022-11-23T01:52:51.6892216Z   test_dict_output (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s)
2022-11-23T01:52:51.6892500Z   test_fold_module (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6892769Z Perform constant folding with a call_module node. ... ok (0.006s)
2022-11-23T01:52:51.6893037Z   test_retain_node_meta (fx.test_fx_const_fold.TestConstFold)
2022-11-23T01:52:51.6893347Z Perform constant folding conversion, and validate that node meta is retained. ... ok (0.005s)
2022-11-23T01:52:51.6893662Z   test_three_outputs (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s)
2022-11-23T01:52:51.6893949Z   test_two_outputs (fx.test_fx_const_fold.TestConstFold) ... ok (0.005s)
2022-11-23T01:52:51.6894307Z   test_param_dim_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s)
2022-11-23T01:52:51.6894730Z   test_param_ndim_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s)
2022-11-23T01:52:51.6895158Z   test_param_nelement_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s)
2022-11-23T01:52:51.6895568Z   test_param_numel_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s)
2022-11-23T01:52:51.6895985Z   test_param_shape_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s)
2022-11-23T01:52:51.6896625Z   test_param_size_const (fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow) ... ok (0.005s)
2022-11-23T01:52:51.6897073Z   test_dead_chain (fx.test_dce_pass.TestDCE)
2022-11-23T01:52:51.6897508Z Tests that a chain of two nodes in the graph are DCE'd correctly. ... graph():
2022-11-23T01:52:51.6897778Z     %x : [#users=2] = placeholder[target=x]
2022-11-23T01:52:51.6898049Z     %add : [#users=1] = call_function[target=operator.add](args = (%x, 1), kwargs = {})
2022-11-23T01:52:51.6898345Z     %mul : [#users=0] = call_function[target=operator.mul](args = (%add, 7), kwargs = {})
2022-11-23T01:52:51.6898612Z     %attr_1 : [#users=1] = get_attr[target=attr_1]
2022-11-23T01:52:51.6898890Z     %add_1 : [#users=1] = call_function[target=operator.add](args = (%x, %attr_1), kwargs = {})
2022-11-23T01:52:51.6899134Z     return add_1
2022-11-23T01:52:51.6899286Z ok (0.003s)
2022-11-23T01:52:51.6899539Z   test_dead_getattr (fx.test_dce_pass.TestDCE)
2022-11-23T01:52:51.6899861Z Tests that a getatrr in the graph is DCE'd correctly. ... graph():
2022-11-23T01:52:51.6900099Z     %x : [#users=2] = placeholder[target=x]
2022-11-23T01:52:51.6900364Z     %add : [#users=1] = call_function[target=operator.add](args = (%x, 1), kwargs = {})
2022-11-23T01:52:51.6900633Z     %attr_1 : [#users=1] = get_attr[target=attr_1]
2022-11-23T01:52:51.6900899Z     %mul : [#users=0] = call_function[target=operator.mul](args = (%add, %attr_1), kwargs = {})
2022-11-23T01:52:51.6901210Z     %add_1 : [#users=1] = call_function[target=operator.add](args = (%x, 11), kwargs = {})
2022-11-23T01:52:51.6901447Z     return add_1
2022-11-23T01:52:51.6901601Z ok (0.003s)
2022-11-23T01:52:51.6901812Z   test_dead_placeholder (fx.test_dce_pass.TestDCE)
2022-11-23T01:52:51.6902171Z Tests that a placeholder in the graph is not DCE'd, as that would change ... graph():
2022-11-23T01:52:51.6902443Z     %x : [#users=1] = placeholder[target=x]
2022-11-23T01:52:51.6902681Z     %y : [#users=0] = placeholder[target=y]
2022-11-23T01:52:51.6902964Z     %add : [#users=1] = call_function[target=operator.add](args = (%x, 7), kwargs = {})
2022-11-23T01:52:51.6903202Z     return add
2022-11-23T01:52:51.6903364Z ok (0.002s)
2022-11-23T01:52:51.6903591Z   test_dead_placeholder_with_user (fx.test_dce_pass.TestDCE)
2022-11-23T01:52:51.6903957Z Tests that a placeholder in the graph is not DCE'd, as that would change ... graph():
2022-11-23T01:52:51.6904259Z     %x : [#users=1] = placeholder[target=x]
2022-11-23T01:52:51.6904466Z     %y : [#users=1] = placeholder[target=y]
2022-11-23T01:52:51.6904736Z     %add : [#users=0] = call_function[target=operator.add](args = (%y, 2), kwargs = {})
2022-11-23T01:52:51.6905043Z     %add_1 : [#users=1] = call_function[target=operator.add](args = (%x, 7), kwargs = {})
2022-11-23T01:52:51.6905276Z     return add_1
2022-11-23T01:52:51.6905430Z ok (0.003s)
2022-11-23T01:52:51.6905674Z   test_keep_module_with_side_effects (fx.test_dce_pass.TestDCE)
2022-11-23T01:52:51.6906066Z Test that DCE doesn't remove a module if it's specified as having side effects. ... graph():
2022-11-23T01:52:51.6906351Z     %a : torch.Tensor [#users=2] = placeholder[target=a]
2022-11-23T01:52:51.6906618Z     %relu : [#users=0] = call_module[target=relu](args = (%a,), kwargs = {})
2022-11-23T01:52:51.6906918Z     %mul : [#users=1] = call_function[target=operator.mul](args = (%a, 2), kwargs = {})
2022-11-23T01:52:51.6907196Z     return mul
2022-11-23T01:52:51.6907423Z ok (0.003s)
2022-11-23T01:52:51.6907720Z   test_keep_torch_assert (fx.test_dce_pass.TestDCE)
2022-11-23T01:52:51.6908367Z Test that DCE doesn't remove torch._assert since it has side effects. ... graph():
2022-11-23T01:52:51.6908716Z     %a : torch.Tensor [#users=2] = placeholder[target=a]
2022-11-23T01:52:51.6908998Z     %equal : [#users=1] = call_function[target=torch.equal](args = (%a, %a), kwargs = {})
2022-11-23T01:52:51.6909328Z     %_assert : [#users=0] = call_function[target=torch._assert](args = (%equal, a must equal a), kwargs = {})
2022-11-23T01:52:51.6909645Z     %mul : [#users=1] = call_function[target=operator.mul](args = (%a, 2), kwargs = {})
2022-11-23T01:52:51.6909878Z     return mul
2022-11-23T01:52:51.6910044Z ok (0.003s)
2022-11-23T01:52:51.6910228Z   test_simple (fx.test_dce_pass.TestDCE)
2022-11-23T01:52:51.6910612Z Tests that a single node in the graph is DCE'd correctly. ... graph():
2022-11-23T01:52:51.6910870Z     %x : [#users=2] = placeholder[target=x]
2022-11-23T01:52:51.6911136Z     %add : [#users=0] = call_function[target=operator.add](args = (%x, 1), kwargs = {})
2022-11-23T01:52:51.6911387Z     %attr_1 : [#users=1] = get_attr[target=attr_1]
2022-11-23T01:52:51.6911665Z     %add_1 : [#users=1] = call_function[target=operator.add](args = (%x, %attr_1), kwargs = {})
2022-11-23T01:52:51.6911904Z     return add_1
2022-11-23T01:52:51.6912056Z ok (0.003s)
2022-11-23T01:52:51.6912262Z   test_all_input_nodes (__main__.TestFX) ... ok (0.007s)
2022-11-23T01:52:51.6912553Z   test_annotation_with_future (__main__.TestFX) ... ok (0.008s)
2022-11-23T01:52:51.6913349Z   test_annotations_empty_tuple (__main__.TestFX) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
2022-11-23T01:52:51.6913946Z   warnings.warn("The TorchScript type system doesn't support "
2022-11-23T01:52:51.6914164Z ok (0.027s)
2022-11-23T01:52:51.6914397Z   test_annotations_with_forward_references (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6914809Z   test_annotations_with_no_forward_references (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6915133Z   test_annotations_with_non_torch_reference_and_internal_forward_references (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6915495Z   test_annotations_with_non_torch_reference_and_no_internal_forward_references (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6915794Z   test_args_kwargs (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6916026Z   test_args_kwargs_no_self (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6916374Z   test_assert (__main__.TestFX) ... skip: Does not work on Python-3.10 (0.000s)
2022-11-23T01:52:51.6916669Z   test_ast_rewriter_reassigns_submodules (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6916951Z   test_ast_rewriter_rewrites_assert (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6917226Z   test_ast_rewriter_rewrites_assert_with_message (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6917502Z   test_ast_rewriter_wrap (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6917764Z   test_ast_rewriter_wrap_fn_directly (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6918032Z   test_ast_rewriter_wrap_with_submodule (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6918325Z   test_ast_rewriter_wrapped_via_decorator (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6918640Z   test_ast_rewriter_wrapped_via_decorator_and_transformed (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6918926Z   test_autowrap_functions (__main__.TestFX) ... ok (0.059s)
2022-11-23T01:52:51.6919172Z   test_concrete_arg_none_assert (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6919434Z   test_construct_root_dict (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6919699Z   test_copy_it (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6919919Z   test_copy_no_remap (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6920150Z   test_ctx_mgr (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6920382Z   test_custom_codegen (__main__.TestFX) ... ok (0.020s)
2022-11-23T01:52:51.6920634Z   test_custom_codegen_with_transformer (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6920893Z   test_custom_import (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6921146Z   test_custom_proxy_dynamic_value (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6921425Z   test_custom_proxy_input_dependent_control_flow (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6921700Z   test_custom_proxy_type (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6921956Z   test_custom_proxy_type_literal (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6922309Z   test_custom_traceback_not_raised_when_exception_source_is_submodule (__main__.TestFX) ... ok (0.009s)
2022-11-23T01:52:51.6922646Z   test_custom_traceback_raised_when_exception_source_is_graphmodule (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6922962Z   test_deepcopy_graph_with_tracer_cls (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6923253Z   test_deepcopy_graphmodule_with_transform (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6923525Z   test_deepcopy_recursion_depth (__main__.TestFX) ... ok (0.162s)
2022-11-23T01:52:51.6923783Z   test_deepcopy_tracer (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6924042Z   test_deepcopy_with_submods_params (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6924363Z   test_delete_unused_submodules_leaf (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6924597Z   test_dict (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6924829Z   test_direct_param_use (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6925076Z   test_disallow_override (__main__.TestFX) ... ok (0.005s)
2022-11-23T01:52:51.6925305Z   test_ellipsis (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6925550Z   test_empty_graph_codegen (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6925797Z   test_erase_node_error (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6926032Z   test_example_shape_prop (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6926274Z   test_find_uses (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6926524Z   test_fn_type_annotation_empty (__main__.TestFX) ... ok (0.018s)
2022-11-23T01:52:51.6926782Z   test_fn_type_annotations (__main__.TestFX) ... ok (0.025s)
2022-11-23T01:52:51.6927010Z   test_fx_and_or (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6927244Z   test_fx_create_arg (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6927476Z   test_fx_shifts (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6927696Z   test_fx_stateless (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6927948Z   test_get_torch_func_signature (__main__.TestFX) ... ok (0.108s)
2022-11-23T01:52:51.6928242Z   test_getitem (__main__.TestFX) ... skip: Will be checked in test_getitem_subproc (0.000s)
2022-11-23T01:52:51.6928515Z   test_getitem_subproc (__main__.TestFX) ... ok (0.029s)
2022-11-23T01:52:51.6928766Z   test_graph_edit_with_proxy (__main__.TestFX) ... ok (0.006s)
2022-11-23T01:52:51.6929009Z   test_graph_fns (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6929244Z   test_graph_module (__main__.TestFX) ... ok (0.036s)
2022-11-23T01:52:51.6929509Z   test_graph_module_init_buffer_param_copied_dict_init (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6929825Z   test_graph_module_init_buffer_param_copied_mod_init (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6930123Z   test_graph_module_replicate_for_dp (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6930376Z   test_graph_unique_names (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6930633Z   test_graph_unique_names_manual (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6930903Z   test_immutable_dict_pytree_ops (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6931170Z   test_immutable_list_pytree_ops (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6931410Z   test_imul_code_print (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6931643Z   test_inf_nan (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6932073Z   test_inf_nan_kwds (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6932295Z   test_inline_graph (__main__.TestFX) ... ok (0.005s)
2022-11-23T01:52:51.6932536Z   test_insertion_point (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6932778Z   test_interpreter (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6933021Z   test_interpreter_default_args (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6933286Z   test_interpreter_gc_values (__main__.TestFX) ... ok (0.355s)
2022-11-23T01:52:51.6933547Z   test_interpreter_noop_resnet18 (__main__.TestFX) ... ok (0.409s)
2022-11-23T01:52:51.6933857Z   test_interpreter_not_enough_args (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6934120Z   test_interpreter_onthefly_swap (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6934586Z   test_interpreter_partial_eval (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6934976Z   test_interpreter_run_node_override (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6935235Z   test_interpreter_star_args (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6935548Z   test_interpreter_with_codegen (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6935998Z   test_layout (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6936367Z   test_leaf_module (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6936739Z   test_matmul_tracing (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6937001Z   test_module_deepcopy_edit_nodes (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6937252Z   test_move_before (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6937483Z   test_multi_insert_point (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6937740Z   test_multiple_default_args (__main__.TestFX) ... ok (0.005s)
2022-11-23T01:52:51.6937998Z   test_named_tuple_inlined (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6938250Z   test_namedtuple_return_qualname (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6938521Z   test_namedtuple_return_trace (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6938776Z   test_native_callable (__main__.TestFX) ... ok (0.025s)
2022-11-23T01:52:51.6939000Z   test_no_mutation (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6939234Z   test_node_tagging (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6939486Z   test_nonetype_annotation (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6940249Z   test_partial_trace (__main__.TestFX) ... /opt/conda/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py:564: UserWarning: Was not able to add assertion to guarantee correct input f to specialized function. It is up to the user to make sure that your inputs match the inputs you specialized the function with.
2022-11-23T01:52:51.6940703Z   warnings.warn(
2022-11-23T01:52:51.6940815Z 
2022-11-23T01:52:51.6940819Z 
2022-11-23T01:52:51.6940824Z 
2022-11-23T01:52:51.6940905Z def forward(self, x, y_1):
2022-11-23T01:52:51.6941100Z     eq = y_1 == True;  y_1 = None
2022-11-23T01:52:51.6941464Z     _assert = torch._assert(eq, 'y has been specialized to have value True but got another value');  eq = None
2022-11-23T01:52:51.6941717Z     mul = 2 * x;  x = None
2022-11-23T01:52:51.6941889Z     return mul
2022-11-23T01:52:51.6942049Z     
2022-11-23T01:52:51.6942190Z ok (0.007s)
2022-11-23T01:52:51.6942401Z   test_pickle_custom_import (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6942667Z   test_pickle_graphmodule (__main__.TestFX) ... ok (0.006s)
2022-11-23T01:52:51.6942921Z   test_pickle_nonetype_annotation (__main__.TestFX) ... ok (0.006s)
2022-11-23T01:52:51.6943191Z   test_pickle_torch_custom_ops (__main__.TestFX) ... ok (0.006s)
2022-11-23T01:52:51.6943734Z   test_prepend_self (__main__.TestFX) ... /opt/conda/lib/python3.10/site-packages/torch/fx/node.py:242: UserWarning: Trying to prepend a node to itself. This behavior has no effect on the graph.
2022-11-23T01:52:51.6944169Z   warnings.warn("Trying to prepend a node to itself. This behavior has no effect on the graph.")
2022-11-23T01:52:51.6944405Z ok (0.001s)
2022-11-23T01:52:51.6944608Z   test_pretty_print (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6944857Z   test_pretty_print_graph (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6945096Z   test_pretty_print_node (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6945348Z   test_pretty_print_targets (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6945620Z   test_profiler_ranges_side_effect (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6945857Z   test_pytree (__main__.TestFX) ... ok (0.102s)
2022-11-23T01:52:51.6946095Z   test_pytree_concrete (__main__.TestFX) ... ok (0.005s)
2022-11-23T01:52:51.6946415Z   test_reassign_args_kwargs_uses (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6946688Z   test_regular_and_default_args (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6946925Z   test_remove_uses (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6947181Z   test_remove_uses_with_custom_filter (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6947438Z   test_replace_input (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6947665Z   test_replace_uses (__main__.TestFX) ... ok (0.232s)
2022-11-23T01:52:51.6947892Z   test_reserved_getattr (__main__.TestFX)
2022-11-23T01:52:51.6948167Z Ensure that we do not name any nodes with a reserved builtin like `getattr` ... ok (0.003s)
2022-11-23T01:52:51.6948490Z   test_return_tuple (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6948732Z   test_return_type_exists (__main__.TestFX) ... ok (0.018s)
2022-11-23T01:52:51.6948985Z   test_script_method_trace (__main__.TestFX) ... ok (0.008s)
2022-11-23T01:52:51.6949241Z   test_script_tensor_constant (__main__.TestFX) ... ok (0.019s)
2022-11-23T01:52:51.6949476Z   test_sequential (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6949723Z   test_shape_prop_aggregate (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6949975Z   test_shape_prop_layout (__main__.TestFX) ... ok (0.035s)
2022-11-23T01:52:51.6950213Z   test_shape_prop_layout_3d (__main__.TestFX) ... ok (0.674s)
2022-11-23T01:52:51.6950467Z   test_single_default_arg (__main__.TestFX) ... ok (0.005s)
2022-11-23T01:52:51.6950704Z   test_snake_case (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6950916Z   test_sqrt (__main__.TestFX) ... ok (0.007s)
2022-11-23T01:52:51.6951141Z   test_stack_traces (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6951403Z   test_stack_traces_with_transformer (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6951660Z   test_string_literal_return (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6951929Z   test_submodule_manipulation_API (__main__.TestFX) ... ok (0.018s)
2022-11-23T01:52:51.6952197Z   test_symbolic_trace_assert (__main__.TestFX) ... ok (0.009s)
2022-11-23T01:52:51.6952457Z   test_symbolic_trace_sequential (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6952701Z   test_tensor_attribute (__main__.TestFX) ... ok (0.005s)
2022-11-23T01:52:51.6952957Z   test_tensor_attribute_coalseced (__main__.TestFX) ... ok (0.005s)
2022-11-23T01:52:51.6953212Z   test_tensor_constant (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6953446Z   test_throw_out_variant (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6953688Z   test_torch_custom_ops (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6953931Z   test_torch_fx_getattr (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6954745Z   test_torch_fx_len (__main__.TestFX) ... /opt/conda/lib/python3.10/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
2022-11-23T01:52:51.6955329Z   warnings.warn("The TorchScript type system doesn't support "
2022-11-23T01:52:51.6955551Z ok (0.024s)
2022-11-23T01:52:51.6955760Z   test_torch_op_overloads (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6956015Z   test_torchbind_class_attribute_in_fx (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6956309Z   test_torchbind_class_attribute_in_fx_tensor_arg (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6956631Z   test_trace_buffer_slice (__main__.TestFX) ... skip: Hotfix for SEV remediation (0.001s)
2022-11-23T01:52:51.6956918Z   test_trace_dict_int_keys (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6957164Z   test_trace_dict_proxy_keys (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6957420Z   test_trace_fn_constant (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6957663Z   test_trace_function (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6957913Z   test_trace_multiple_funcs (__main__.TestFX) ... 1.14.0a0+git1cfd385
2022-11-23T01:52:51.6958165Z ok (0.006s)
2022-11-23T01:52:51.6958406Z   test_tracing_graphmodules_as_leaf_submodules (__main__.TestFX) ... ok (0.014s)
2022-11-23T01:52:51.6958682Z   test_transformer_multi_outputs (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6958941Z   test_transformer_noop (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6959191Z   test_transformer_op_swap (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6959445Z   test_tuple_no_subscript (__main__.TestFX) ... ok (0.005s)
2022-11-23T01:52:51.6959677Z   test_typename_print (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6959912Z   test_unpack (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6960192Z   test_unpack_dict_better_error (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6960442Z   test_unpack_list_better_error (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6960700Z   test_update_args_api (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6960961Z   test_update_args_kwargs_yells_at_you (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6961263Z   test_update_kwargs_api (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6961755Z   test_user_friendly_call_provenance_with_function (__main__.TestFX) ... ok (0.017s)
2022-11-23T01:52:51.6962254Z   test_user_friendly_call_provenance_with_module (__main__.TestFX) ... ok (0.017s)
2022-11-23T01:52:51.6962516Z   test_wrap (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6962752Z   test_wrap_decorated_function (__main__.TestFX) ... ok (0.002s)
2022-11-23T01:52:51.6963007Z   test_wrap_fn_directly (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6963254Z   test_wrap_with_submodule (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6963494Z   test_wrapped_method (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6963739Z   test_wrapped_retrace (__main__.TestFX) ... ok (0.004s)
2022-11-23T01:52:51.6963992Z   test_wrapped_via_decorator (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6964264Z   test_wrapped_via_decorator_and_transformed (__main__.TestFX) ... ok (0.003s)
2022-11-23T01:52:51.6964541Z   test_wrong_target_type (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6964780Z   test_wrong_topo (__main__.TestFX) ... ok (0.001s)
2022-11-23T01:52:51.6965066Z   test_class_member_back_compat (__main__.TestFXAPIBackwardCompatibility)
2022-11-23T01:52:51.6965370Z Test backward compatibility for members of classes with ... ok (0.001s)
2022-11-23T01:52:51.6965681Z   test_function_back_compat (__main__.TestFXAPIBackwardCompatibility)
2022-11-23T01:52:51.6965994Z Test backward compatibility for function signatures with ... ok (0.008s)
2022-11-23T01:52:51.6966306Z   test_public_api_surface (__main__.TestFXAPIBackwardCompatibility) ... ok (0.002s)
2022-11-23T01:52:51.6966650Z   test_nn_functional_adaptive_avg_pool1d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6966986Z   test_nn_functional_adaptive_avg_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6967322Z   test_nn_functional_adaptive_avg_pool3d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6967640Z   test_nn_functional_adaptive_max_pool1d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6967983Z   test_nn_functional_adaptive_max_pool1d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6968326Z   test_nn_functional_adaptive_max_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6968657Z   test_nn_functional_adaptive_max_pool2d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6968991Z   test_nn_functional_adaptive_max_pool3d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6969336Z   test_nn_functional_adaptive_max_pool3d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6969676Z   test_nn_functional_affine_grid (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6969982Z   test_nn_functional_alpha_dropout (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6970339Z   test_nn_functional_avg_pool1d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6970651Z   test_nn_functional_avg_pool2d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6970951Z   test_nn_functional_avg_pool3d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6971260Z   test_nn_functional_batch_norm (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6971566Z   test_nn_functional_bilinear (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6971887Z   test_nn_functional_binary_cross_entropy (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6972254Z   test_nn_functional_binary_cross_entropy_with_logits (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6972576Z   test_nn_functional_celu (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6972876Z   test_nn_functional_celu_ (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6973188Z   test_nn_functional_channel_shuffle (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6973491Z   test_nn_functional_conv1d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6973793Z   test_nn_functional_conv2d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6974090Z   test_nn_functional_conv3d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6974377Z   test_nn_functional_conv_tbc (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6974692Z   test_nn_functional_conv_transpose1d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6975021Z   test_nn_functional_conv_transpose2d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6975344Z   test_nn_functional_conv_transpose3d (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6975665Z   test_nn_functional_cosine_embedding_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6975997Z   test_nn_functional_cosine_similarity (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6976320Z   test_nn_functional_cross_entropy (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6976794Z   test_nn_functional_ctc_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6977104Z   test_nn_functional_dropout (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6977414Z   test_nn_functional_dropout1d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6977723Z   test_nn_functional_dropout2d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6978017Z   test_nn_functional_dropout3d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6978318Z   test_nn_functional_elu (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6978614Z   test_nn_functional_elu_ (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6978908Z   test_nn_functional_embedding (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6979225Z   test_nn_functional_embedding_bag (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6979552Z   test_nn_functional_feature_alpha_dropout (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6979869Z   test_nn_functional_fold (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6980175Z   test_nn_functional_fractional_max_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6980525Z   test_nn_functional_fractional_max_pool2d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6980873Z   test_nn_functional_fractional_max_pool3d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6981213Z   test_nn_functional_fractional_max_pool3d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6981553Z   test_nn_functional_gaussian_nll_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6981917Z   test_nn_functional_gelu (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6982216Z   test_nn_functional_glu (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6982511Z   test_nn_functional_grid_sample (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6982826Z   test_nn_functional_group_norm (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6983142Z   test_nn_functional_gumbel_softmax (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6983450Z   test_nn_functional_hardshrink (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6983762Z   test_nn_functional_hardsigmoid (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6984114Z   test_nn_functional_hardswish (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6984423Z   test_nn_functional_hardtanh (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6984724Z   test_nn_functional_hardtanh_ (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6985047Z   test_nn_functional_hinge_embedding_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6985366Z   test_nn_functional_huber_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6985667Z   test_nn_functional_instance_norm (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6985986Z   test_nn_functional_interpolate (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6986300Z   test_nn_functional_kl_div (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6986604Z   test_nn_functional_l1_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6986901Z   test_nn_functional_layer_norm (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6987207Z   test_nn_functional_leaky_relu (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6987518Z   test_nn_functional_leaky_relu_ (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6987815Z   test_nn_functional_linear (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6988130Z   test_nn_functional_local_response_norm (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6988451Z   test_nn_functional_log_softmax (__main__.TestFunctionalTracing) ... ok (0.003s)
2022-11-23T01:52:51.6988765Z   test_nn_functional_logsigmoid (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6989062Z   test_nn_functional_lp_pool1d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6989367Z   test_nn_functional_lp_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6989691Z   test_nn_functional_margin_ranking_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6989999Z   test_nn_functional_max_pool1d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6990322Z   test_nn_functional_max_pool1d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6990646Z   test_nn_functional_max_pool2d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6990970Z   test_nn_functional_max_pool2d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6991281Z   test_nn_functional_max_pool3d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6991603Z   test_nn_functional_max_pool3d_with_indices (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6991932Z   test_nn_functional_max_unpool1d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6992238Z   test_nn_functional_max_unpool2d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6992555Z   test_nn_functional_max_unpool3d (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6992859Z   test_nn_functional_mish (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6993159Z   test_nn_functional_mse_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6993511Z   test_nn_functional_multi_head_attention_forward (__main__.TestFunctionalTracing) ... ok (0.003s)
2022-11-23T01:52:51.6993851Z   test_nn_functional_multi_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6994185Z   test_nn_functional_multilabel_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6994598Z   test_nn_functional_multilabel_soft_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6994940Z   test_nn_functional_native_channel_shuffle (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6995260Z   test_nn_functional_nll_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6995599Z   test_nn_functional_normalize (__main__.TestFunctionalTracing) ... ok (0.003s)
2022-11-23T01:52:51.6995896Z   test_nn_functional_one_hot (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6996198Z   test_nn_functional_pad (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6996512Z   test_nn_functional_pairwise_distance (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6996813Z   test_nn_functional_pdist (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6997123Z   test_nn_functional_pixel_shuffle (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6997440Z   test_nn_functional_pixel_unshuffle (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6997762Z   test_nn_functional_poisson_nll_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6998060Z   test_nn_functional_prelu (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6998364Z   test_nn_functional_relu (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6998661Z   test_nn_functional_relu6 (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6998948Z   test_nn_functional_relu_ (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6999243Z   test_nn_functional_rrelu (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.6999542Z   test_nn_functional_rrelu_ (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.6999841Z   test_nn_functional_selu (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7000125Z   test_nn_functional_selu_ (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.7000422Z   test_nn_functional_silu (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7000728Z   test_nn_functional_smooth_l1_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7001036Z   test_nn_functional_soft_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7001352Z   test_nn_functional_softmax (__main__.TestFunctionalTracing) ... ok (0.003s)
2022-11-23T01:52:51.7001659Z   test_nn_functional_softmin (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7001967Z   test_nn_functional_softplus (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.7002266Z   test_nn_functional_softshrink (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.7002576Z   test_nn_functional_threshold (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7002886Z   test_nn_functional_threshold_ (__main__.TestFunctionalTracing) ... ok (0.001s)
2022-11-23T01:52:51.7003197Z   test_nn_functional_triplet_margin_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7003546Z   test_nn_functional_triplet_margin_with_distance_loss (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7003878Z   test_nn_functional_unfold (__main__.TestFunctionalTracing) ... ok (0.002s)
2022-11-23T01:52:51.7004542Z   test_nn_functional_upsample (__main__.TestFunctionalTracing) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:3738: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:52:51.7005077Z   warnings.warn("nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:52:51.7005350Z ok (0.002s)
2022-11-23T01:52:51.7006016Z   test_nn_functional_upsample_bilinear (__main__.TestFunctionalTracing) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:52:51.7006553Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:52:51.7006820Z ok (0.002s)
2022-11-23T01:52:51.7007402Z   test_nn_functional_upsample_nearest (__main__.TestFunctionalTracing) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:52:51.7007967Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:52:51.7008242Z ok (0.002s)
2022-11-23T01:52:51.7008455Z   test_pass_manager (fx.test_pass_infra.TestPassManager)
2022-11-23T01:52:51.7008745Z Tests that the pass manager runs the passes correctly. ... ok (0.004s)
2022-11-23T01:52:51.7009041Z   test_pass_manager_bad_checks (fx.test_pass_infra.TestPassManager)
2022-11-23T01:52:51.7009351Z Checks that we error if we pass in a check function with the wrong parameters ... ok (0.001s)
2022-11-23T01:52:51.7009663Z   test_pass_manager_checks (fx.test_pass_infra.TestPassManager)
2022-11-23T01:52:51.7009951Z Tests that users can add in check functions correctly ... ok (0.002s)
2022-11-23T01:52:51.7010237Z   test_pass_manager_error (fx.test_pass_infra.TestPassManager)
2022-11-23T01:52:51.7010482Z Tests error catching + debug ... ok (0.003s)
2022-11-23T01:52:51.7010756Z   test_this_before_that_pass_constraint (fx.test_pass_infra.TestPassManager)
2022-11-23T01:52:51.7011042Z Tests the construction of constraints ... ok (0.001s)
2022-11-23T01:52:51.7011300Z   test_topological_sort (fx.test_pass_infra.TestPassManager)
2022-11-23T01:52:51.7011593Z Tests that passes are correctly ordered based on contraints. ... ok (0.002s)
2022-11-23T01:52:51.7011948Z   test_matching_pattern_with_list_type_arg (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.007s)
2022-11-23T01:52:51.7012326Z   test_replace_pattern_with_filters (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.014s)
2022-11-23T01:52:51.7012710Z   test_subgraph_rewriter_annotations_int (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.004s)
2022-11-23T01:52:51.7013097Z   test_subgraph_rewriter_call_method (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.007s)
2022-11-23T01:52:51.7013498Z   test_subgraph_rewriter_correct_output_replacement (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7013893Z   test_subgraph_rewriter_graph_argument_order (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.007s)
2022-11-23T01:52:51.7014336Z   test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7014765Z   test_subgraph_rewriter_local_revert (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.010s)
2022-11-23T01:52:51.7015159Z   test_subgraph_rewriter_multiple_pattern_match (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.009s)
2022-11-23T01:52:51.7015543Z   test_subgraph_rewriter_nodes_with_kwargs (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.007s)
2022-11-23T01:52:51.7015944Z   test_subgraph_rewriter_pattern_is_entire_graph (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7016388Z   test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.007s)
2022-11-23T01:52:51.7016978Z   test_subgraph_rewriter_placeholder_matching (fx.test_subgraph_rewriter.TestSubgraphRewriter)
2022-11-23T01:52:51.7017318Z This tests that a placeholder Node can be matched to a Node with ... ok (0.008s)
2022-11-23T01:52:51.7017731Z   test_subgraph_rewriter_preserves_logic (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7018141Z   test_subgraph_rewriter_replace_consecutive_submodules (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7018564Z   test_subgraph_rewriter_replace_with_duplicated_outputs (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7018970Z   test_subgraph_rewriter_replace_with_multiple_outputs (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7019389Z   test_subgraph_rewriter_replaces_referenced_submodules (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7019842Z   test_subgraph_rewriter_single_pattern_match (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7020225Z   test_subgraph_rewriter_traced_as_callable (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7020626Z   test_subgraph_rewriter_with_oneliner_pattern (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7021029Z   test_subgraph_rewriter_with_overlapping_matches (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7021428Z   test_subgraph_rewriter_with_unused_args (fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.008s)
2022-11-23T01:52:51.7021762Z   test_torchvision_models_alexnet (__main__.TestVisionTracing) ... ok (0.484s)
2022-11-23T01:52:51.7022076Z   test_torchvision_models_convnext_base (__main__.TestVisionTracing) ... ok (2.240s)
2022-11-23T01:52:51.7022394Z   test_torchvision_models_convnext_large (__main__.TestVisionTracing) ... ok (3.784s)
2022-11-23T01:52:51.7022711Z   test_torchvision_models_convnext_small (__main__.TestVisionTracing) ... ok (1.428s)
2022-11-23T01:52:51.7023009Z   test_torchvision_models_convnext_tiny (__main__.TestVisionTracing) ... ok (0.786s)
2022-11-23T01:52:51.7023325Z   test_torchvision_models_densenet121 (__main__.TestVisionTracing) ... ok (1.832s)
2022-11-23T01:52:51.7023637Z   test_torchvision_models_densenet161 (__main__.TestVisionTracing) ... ok (2.724s)
2022-11-23T01:52:51.7023932Z   test_torchvision_models_densenet169 (__main__.TestVisionTracing) ... ok (2.490s)
2022-11-23T01:52:51.7024240Z   test_torchvision_models_densenet201 (__main__.TestVisionTracing) ... ok (2.902s)
2022-11-23T01:52:51.7025043Z   test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn (__main__.TestVisionTracing) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained_backbone' is deprecated since 0.13 and may be removed in the future, please use 'weights_backbone' instead.
2022-11-23T01:52:51.7025525Z   warnings.warn(
2022-11-23T01:52:51.7026168Z /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights_backbone' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights_backbone=None`.
2022-11-23T01:52:51.7026607Z   warnings.warn(msg)
2022-11-23T01:52:51.7026783Z ok (0.227s)
2022-11-23T01:52:51.7027062Z   test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn (__main__.TestVisionTracing) ... ok (0.224s)
2022-11-23T01:52:51.7027423Z   test_torchvision_models_detection_fasterrcnn_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.597s)
2022-11-23T01:52:51.7027787Z   test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2 (__main__.TestVisionTracing) ... ok (0.653s)
2022-11-23T01:52:51.7028143Z   test_torchvision_models_detection_fcos_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.615s)
2022-11-23T01:52:51.7028498Z   test_torchvision_models_detection_keypointrcnn_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.942s)
2022-11-23T01:52:51.7028850Z   test_torchvision_models_detection_maskrcnn_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.648s)
2022-11-23T01:52:51.7029238Z   test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2 (__main__.TestVisionTracing) ... ok (0.831s)
2022-11-23T01:52:51.7029599Z   test_torchvision_models_detection_retinanet_resnet50_fpn (__main__.TestVisionTracing) ... ok (0.619s)
2022-11-23T01:52:51.7029941Z   test_torchvision_models_detection_retinanet_resnet50_fpn_v2 (__main__.TestVisionTracing) ... ok (0.662s)
2022-11-23T01:52:51.7030284Z   test_torchvision_models_detection_ssd300_vgg16 (__main__.TestVisionTracing) ... ok (3.086s)
2022-11-23T01:52:51.7030631Z   test_torchvision_models_detection_ssdlite320_mobilenet_v3_large (__main__.TestVisionTracing) ... ok (0.160s)
2022-11-23T01:52:51.7031019Z   test_torchvision_models_efficientnet_b0 (__main__.TestVisionTracing) ... ok (1.135s)
2022-11-23T01:52:51.7031329Z   test_torchvision_models_efficientnet_b1 (__main__.TestVisionTracing) ... ok (1.424s)
2022-11-23T01:52:51.7031649Z   test_torchvision_models_efficientnet_b2 (__main__.TestVisionTracing) ... ok (1.559s)
2022-11-23T01:52:51.7031968Z   test_torchvision_models_efficientnet_b3 (__main__.TestVisionTracing) ... ok (1.983s)
2022-11-23T01:52:51.7032284Z   test_torchvision_models_efficientnet_b4 (__main__.TestVisionTracing) ... ok (2.339s)
2022-11-23T01:52:51.7032587Z   test_torchvision_models_efficientnet_b5 (__main__.TestVisionTracing) ... ok (3.240s)
2022-11-23T01:52:51.7032898Z   test_torchvision_models_efficientnet_b6 (__main__.TestVisionTracing) ... ok (3.966s)
2022-11-23T01:52:51.7033212Z   test_torchvision_models_efficientnet_b7 (__main__.TestVisionTracing) ... ok (5.185s)
2022-11-23T01:52:51.7033519Z   test_torchvision_models_efficientnet_v2_l (__main__.TestVisionTracing) ... ok (7.417s)
2022-11-23T01:52:51.7033846Z   test_torchvision_models_efficientnet_v2_m (__main__.TestVisionTracing) ... ok (4.557s)
2022-11-23T01:52:51.7034162Z   test_torchvision_models_efficientnet_v2_s (__main__.TestVisionTracing) ... ok (2.969s)
2022-11-23T01:52:51.7035132Z   test_torchvision_models_googlenet (__main__.TestVisionTracing) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/googlenet.py:47: FutureWarning: The default weight initialization of GoogleNet will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11299), please set init_weights=True.
2022-11-23T01:52:51.7035732Z   warnings.warn(
2022-11-23T01:52:51.7036015Z ok (1.011s)
2022-11-23T01:52:51.7037114Z   test_torchvision_models_inception_v3 (__main__.TestVisionTracing) ... /var/lib/jenkins/.local/lib/python3.10/site-packages/torchvision/models/inception.py:43: FutureWarning: The default weight initialization of inception_v3 will be changed in future releases of torchvision. If you wish to keep the old behavior (which leads to long initialization times due to scipy/scipy#11299), please set init_weights=True.
2022-11-23T01:52:51.7037652Z   warnings.warn(
2022-11-23T01:52:51.7037807Z ok (1.519s)
2022-11-23T01:52:51.7038522Z   test_torchvision_models_maxvit_t (__main__.TestVisionTracing) ... /opt/conda/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:3433.)
2022-11-23T01:52:51.7039127Z   return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
2022-11-23T01:52:51.7039349Z ok (3.410s)
2022-11-23T01:52:51.7039579Z   test_torchvision_models_mnasnet0_5 (__main__.TestVisionTracing) ... ok (0.768s)
2022-11-23T01:52:51.7039887Z   test_torchvision_models_mnasnet0_75 (__main__.TestVisionTracing) ... ok (0.772s)
2022-11-23T01:52:51.7040201Z   test_torchvision_models_mnasnet1_0 (__main__.TestVisionTracing) ... ok (0.759s)
2022-11-23T01:52:51.7040508Z   test_torchvision_models_mnasnet1_3 (__main__.TestVisionTracing) ... ok (1.028s)
2022-11-23T01:52:51.7040808Z   test_torchvision_models_mobilenet_v2 (__main__.TestVisionTracing) ... ok (0.854s)
2022-11-23T01:52:51.7041178Z   test_torchvision_models_mobilenet_v3_large (__main__.TestVisionTracing) ... ok (1.062s)
2022-11-23T01:52:51.7041500Z   test_torchvision_models_mobilenet_v3_small (__main__.TestVisionTracing) ... ok (0.812s)
2022-11-23T01:52:51.7041807Z   test_torchvision_models_regnet_x_16gf (__main__.TestVisionTracing) ... ok (2.597s)
2022-11-23T01:52:51.7042122Z   test_torchvision_models_regnet_x_1_6gf (__main__.TestVisionTracing) ... ok (1.326s)
2022-11-23T01:52:51.7042435Z   test_torchvision_models_regnet_x_32gf (__main__.TestVisionTracing) ... ok (4.153s)
2022-11-23T01:52:51.7042746Z   test_torchvision_models_regnet_x_3_2gf (__main__.TestVisionTracing) ... ok (1.988s)
2022-11-23T01:52:51.7043078Z   test_torchvision_models_regnet_x_400mf (__main__.TestVisionTracing) ... ok (1.446s)
2022-11-23T01:52:51.7043390Z   test_torchvision_models_regnet_x_800mf (__main__.TestVisionTracing) ... ok (1.189s)
2022-11-23T01:52:51.7043705Z   test_torchvision_models_regnet_x_8gf (__main__.TestVisionTracing) ... ok (2.321s)
2022-11-23T01:52:51.7044005Z   test_torchvision_models_regnet_y_128gf (__main__.TestVisionTracing) ... ok (18.709s)
2022-11-23T01:52:51.7044317Z   test_torchvision_models_regnet_y_16gf (__main__.TestVisionTracing) ... ok (3.414s)
2022-11-23T01:52:51.7044626Z   test_torchvision_models_regnet_y_1_6gf (__main__.TestVisionTracing) ... ok (2.525s)
2022-11-23T01:52:51.7044936Z   test_torchvision_models_regnet_y_32gf (__main__.TestVisionTracing) ... ok (5.390s)
2022-11-23T01:52:51.7045230Z   test_torchvision_models_regnet_y_3_2gf (__main__.TestVisionTracing) ... ok (2.260s)
2022-11-23T01:52:51.7045542Z   test_torchvision_models_regnet_y_400mf (__main__.TestVisionTracing) ... ok (1.562s)
2022-11-23T01:52:51.7045851Z   test_torchvision_models_regnet_y_800mf (__main__.TestVisionTracing) ... ok (1.470s)
2022-11-23T01:52:51.7046153Z   test_torchvision_models_regnet_y_8gf (__main__.TestVisionTracing) ... ok (2.593s)
2022-11-23T01:52:51.7046451Z   test_torchvision_models_resnet101 (__main__.TestVisionTracing) ... ok (2.216s)
2022-11-23T01:52:51.7046759Z   test_torchvision_models_resnet152 (__main__.TestVisionTracing) ... ok (3.174s)
2022-11-23T01:52:51.7047059Z   test_torchvision_models_resnet18 (__main__.TestVisionTracing) ... ok (0.576s)
2022-11-23T01:52:51.7047354Z   test_torchvision_models_resnet34 (__main__.TestVisionTracing) ... ok (0.953s)
2022-11-23T01:52:51.7047655Z   test_torchvision_models_resnet50 (__main__.TestVisionTracing) ... ok (1.176s)
2022-11-23T01:52:51.7047970Z   test_torchvision_models_resnext101_32x8d (__main__.TestVisionTracing) ... ok (3.448s)
2022-11-23T01:52:51.7048287Z   test_torchvision_models_resnext101_64x4d (__main__.TestVisionTracing) ... ok (3.210s)
2022-11-23T01:52:51.7048591Z   test_torchvision_models_resnext50_32x4d (__main__.TestVisionTracing) ... ok (1.218s)
2022-11-23T01:52:51.7048942Z   test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large (__main__.TestVisionTracing) ... ok (1.311s)
2022-11-23T01:52:51.7049315Z   test_torchvision_models_segmentation_deeplabv3_resnet101 (__main__.TestVisionTracing) ... ok (2.382s)
2022-11-23T01:52:51.7049662Z   test_torchvision_models_segmentation_deeplabv3_resnet50 (__main__.TestVisionTracing) ... ok (1.372s)
2022-11-23T01:52:51.7050011Z   test_torchvision_models_segmentation_fcn_resnet101 (__main__.TestVisionTracing) ... ok (2.338s)
2022-11-23T01:52:51.7050352Z   test_torchvision_models_segmentation_fcn_resnet50 (__main__.TestVisionTracing) ... ok (1.225s)
2022-11-23T01:52:51.7050713Z   test_torchvision_models_segmentation_lraspp_mobilenet_v3_large (__main__.TestVisionTracing) ... ok (1.072s)
2022-11-23T01:52:51.7051046Z   test_torchvision_models_shufflenet_v2_x0_5 (__main__.TestVisionTracing) ... ok (0.845s)
2022-11-23T01:52:51.7051370Z   test_torchvision_models_shufflenet_v2_x1_0 (__main__.TestVisionTracing) ... ok (0.946s)
2022-11-23T01:52:51.7051685Z   test_torchvision_models_shufflenet_v2_x1_5 (__main__.TestVisionTracing) ... ok (0.949s)
2022-11-23T01:52:51.7052000Z   test_torchvision_models_shufflenet_v2_x2_0 (__main__.TestVisionTracing) ... ok (0.999s)
2022-11-23T01:52:51.7052341Z   test_torchvision_models_squeezenet1_0 (__main__.TestVisionTracing) ... ok (0.330s)
2022-11-23T01:52:51.7052656Z   test_torchvision_models_squeezenet1_1 (__main__.TestVisionTracing) ... ok (0.285s)
2022-11-23T01:52:51.7052964Z   test_torchvision_models_swin_b (__main__.TestVisionTracing) ... ok (3.321s)
2022-11-23T01:52:51.7053254Z   test_torchvision_models_swin_s (__main__.TestVisionTracing) ... ok (2.454s)
2022-11-23T01:52:51.7053550Z   test_torchvision_models_swin_t (__main__.TestVisionTracing) ... ok (1.305s)
2022-11-23T01:52:51.7053852Z   test_torchvision_models_swin_v2_b (__main__.TestVisionTracing) ... ok (3.843s)
2022-11-23T01:52:51.7054218Z   test_torchvision_models_swin_v2_s (__main__.TestVisionTracing) ... ok (2.971s)
2022-11-23T01:52:51.7054504Z   test_torchvision_models_swin_v2_t (__main__.TestVisionTracing) ... ok (1.611s)
2022-11-23T01:52:51.7054799Z   test_torchvision_models_vgg11 (__main__.TestVisionTracing) ... ok (2.736s)
2022-11-23T01:52:51.7055108Z   test_torchvision_models_vgg11_bn (__main__.TestVisionTracing) ... ok (2.932s)
2022-11-23T01:52:51.7055397Z   test_torchvision_models_vgg13 (__main__.TestVisionTracing) ... ok (2.961s)
2022-11-23T01:52:51.7055697Z   test_torchvision_models_vgg13_bn (__main__.TestVisionTracing) ... ok (2.829s)
2022-11-23T01:52:51.7055994Z   test_torchvision_models_vgg16 (__main__.TestVisionTracing) ... ok (3.110s)
2022-11-23T01:52:51.7056293Z   test_torchvision_models_vgg16_bn (__main__.TestVisionTracing) ... ok (3.186s)
2022-11-23T01:52:51.7056748Z   test_torchvision_models_vgg19 (__main__.TestVisionTracing) ... ok (3.106s)
2022-11-23T01:52:51.7057053Z   test_torchvision_models_vgg19_bn (__main__.TestVisionTracing) ... ok (3.202s)
2022-11-23T01:52:51.7057365Z   test_torchvision_models_video_mc3_18 (__main__.TestVisionTracing) ... ok (1.000s)
2022-11-23T01:52:51.7057666Z   test_torchvision_models_video_mvit_v1_b (__main__.TestVisionTracing) ... ok (4.842s)
2022-11-23T01:52:51.7057983Z   test_torchvision_models_video_mvit_v2_s (__main__.TestVisionTracing) ... ok (5.917s)
2022-11-23T01:52:51.7058301Z   test_torchvision_models_video_r2plus1d_18 (__main__.TestVisionTracing) ... ok (1.555s)
2022-11-23T01:52:51.7058620Z   test_torchvision_models_video_r3d_18 (__main__.TestVisionTracing) ... ok (1.622s)
2022-11-23T01:52:51.7058916Z   test_torchvision_models_video_s3d (__main__.TestVisionTracing) ... ok (2.528s)
2022-11-23T01:52:51.7059227Z   test_torchvision_models_video_swin3d_b (__main__.TestVisionTracing) ... ok (3.481s)
2022-11-23T01:52:51.7059545Z   test_torchvision_models_video_swin3d_s (__main__.TestVisionTracing) ... ok (2.952s)
2022-11-23T01:52:51.7059842Z   test_torchvision_models_video_swin3d_t (__main__.TestVisionTracing) ... ok (1.518s)
2022-11-23T01:52:51.7060152Z   test_torchvision_models_vit_b_16 (__main__.TestVisionTracing) ... ok (2.072s)
2022-11-23T01:52:51.7060450Z   test_torchvision_models_vit_b_32 (__main__.TestVisionTracing) ... ok (1.823s)
2022-11-23T01:52:51.7060755Z   test_torchvision_models_vit_h_14 (__main__.TestVisionTracing) ... ok (11.517s)
2022-11-23T01:52:51.7061039Z   test_torchvision_models_vit_l_16 (__main__.TestVisionTracing) ... ok (6.269s)
2022-11-23T01:52:51.7061332Z   test_torchvision_models_vit_l_32 (__main__.TestVisionTracing) ... ok (5.244s)
2022-11-23T01:52:51.7061640Z   test_torchvision_models_wide_resnet101_2 (__main__.TestVisionTracing) ... ok (4.213s)
2022-11-23T01:52:51.7061956Z   test_torchvision_models_wide_resnet50_2 (__main__.TestVisionTracing) ... ok (2.196s)
2022-11-23T01:52:51.7062264Z   test_flatten_fully_static (fx.test_gradual_type.TypeCheckerTest) ... ok (0.016s)
2022-11-23T01:52:51.7062571Z   test_resnet50 (fx.test_gradual_type.TypeCheckerTest) ... ok (1.851s)
2022-11-23T01:52:51.7062888Z   test_symbolic_add_with_broadcast (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s)
2022-11-23T01:52:51.7063218Z   test_symbolic_add_with_broadcast_2 (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7063604Z   test_type_check_add_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7063927Z   test_type_check_add_true (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s)
2022-11-23T01:52:51.7064255Z   test_type_check_add_with_broadcast (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7064584Z   test_type_check_add_with_scalar (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7064913Z   test_type_check_batch_norm_2D (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s)
2022-11-23T01:52:51.7065252Z   test_type_check_batch_norm_2D_broadcast (fx.test_gradual_type.TypeCheckerTest) ... ok (0.007s)
2022-11-23T01:52:51.7065583Z   test_type_check_batch_norm_2D_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s)
2022-11-23T01:52:51.7065965Z   test_type_check_batch_norm_symbolic (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s)
2022-11-23T01:52:51.7066296Z   test_type_check_conv2D (fx.test_gradual_type.TypeCheckerTest) ... ok (0.004s)
2022-11-23T01:52:51.7066615Z   test_type_check_conv2D_2 (fx.test_gradual_type.TypeCheckerTest) ... ok (0.008s)
2022-11-23T01:52:51.7066932Z   test_type_check_conv2D_2_fully_static (fx.test_gradual_type.TypeCheckerTest) ... ok (0.030s)
2022-11-23T01:52:51.7067279Z   test_type_check_conv2D_maxpool2d_flatten (fx.test_gradual_type.TypeCheckerTest) ... ok (0.005s)
2022-11-23T01:52:51.7067618Z   test_type_check_conv2D_types (fx.test_gradual_type.TypeCheckerTest) ... ok (0.008s)
2022-11-23T01:52:51.7067938Z   test_type_check_flatten (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7068248Z   test_type_check_flatten3 (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7068575Z   test_type_check_flatten_2 (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7068904Z   test_type_check_reshape_dyn_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7069224Z   test_type_check_reshape_dyn_true (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7069571Z   test_type_check_reshape_dyn_true_param_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7069917Z   test_type_check_reshape_false (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7070250Z   test_type_check_reshape_true (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7070604Z   test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten (fx.test_gradual_type.TypeCheckerTest) ... ok (0.020s)
2022-11-23T01:52:51.7070969Z   test_type_check_transpose_False (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7071305Z   test_type_check_transpose_true (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7071625Z   test_type_maxpool2d_fully_static (fx.test_gradual_type.TypeCheckerTest) ... ok (0.026s)
2022-11-23T01:52:51.7071970Z   test_type_typechecl_maxpool2d_3dinput (fx.test_gradual_type.TypeCheckerTest) ... ok (0.003s)
2022-11-23T01:52:51.7072305Z   test_typecheck_basicblock (fx.test_gradual_type.TypeCheckerTest) ... ok (0.006s)
2022-11-23T01:52:51.7072487Z 
2022-11-23T01:52:51.7072703Z ----------------------------------------------------------------------
2022-11-23T01:52:51.7072935Z Ran 526 tests in 262.849s
2022-11-23T01:52:51.7073049Z 
2022-11-23T01:52:51.7073121Z OK (skipped=3)
2022-11-23T01:52:51.7073227Z 
2022-11-23T01:52:51.7073311Z Generating XML reports...
2022-11-23T01:52:51.7073724Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_gradual_type.AnnotationsTest-20221123014825.xml
2022-11-23T01:52:51.7074256Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_cse_pass.TestCSEPass-20221123014825.xml
2022-11-23T01:52:51.7074873Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_common_passes.TestCommonPass-20221123014825.xml
2022-11-23T01:52:51.7075401Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_fx_const_fold.TestConstFold-20221123014825.xml
2022-11-23T01:52:51.7076027Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_fx_param_shape_control_flow.TestConstParamShapeInControlFlow-20221123014825.xml
2022-11-23T01:52:51.7076590Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_dce_pass.TestDCE-20221123014825.xml
2022-11-23T01:52:51.7077042Z Generated XML report: test-reports/python-unittest/test_fx/TEST-TestFX-20221123014825.xml
2022-11-23T01:52:51.7077559Z Generated XML report: test-reports/python-unittest/test_fx/TEST-TestFXAPIBackwardCompatibility-20221123014825.xml
2022-11-23T01:52:51.7078084Z Generated XML report: test-reports/python-unittest/test_fx/TEST-TestFunctionalTracing-20221123014825.xml
2022-11-23T01:52:51.7078647Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_pass_infra.TestPassManager-20221123014825.xml
2022-11-23T01:52:51.7079211Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_subgraph_rewriter.TestSubgraphRewriter-20221123014825.xml
2022-11-23T01:52:51.7079744Z Generated XML report: test-reports/python-unittest/test_fx/TEST-TestVisionTracing-20221123014825.xml
2022-11-23T01:52:51.7080252Z Generated XML report: test-reports/python-unittest/test_fx/TEST-fx.test_gradual_type.TypeCheckerTest-20221123014825.xml
2022-11-23T01:52:51.7080494Z 
2022-11-23T01:52:51.7080802Z ##[endgroup]
2022-11-23T01:52:51.7081162Z FINISHED PRINTING LOG FILE of test_fx (/var/lib/jenkins/workspace/test/test-reports/test_fx_1sshb7wg)
2022-11-23T01:52:51.7081357Z 
2022-11-23T01:52:51.7081504Z Running test_indexing ... [2022-11-23 01:52:51.688752]
2022-11-23T01:52:51.7081965Z Executing ['/opt/conda/bin/python', '-bb', 'test_indexing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:51.688989]
2022-11-23T01:52:53.6693972Z 
2022-11-23T01:52:53.6694422Z Expand the folded group to see the log file of test_indexing
2022-11-23T01:52:53.6695309Z ##[group]PRINTING LOG FILE of test_indexing (/var/lib/jenkins/workspace/test/test-reports/test_indexing_rlzo0x4w)
2022-11-23T01:52:53.6695939Z 
2022-11-23T01:52:53.6696661Z Running tests...
2022-11-23T01:52:53.6697374Z ----------------------------------------------------------------------
2022-11-23T01:52:53.6697697Z 
2022-11-23T01:52:53.6698066Z ----------------------------------------------------------------------
2022-11-23T01:52:53.6698515Z Ran 0 tests in 0.000s
2022-11-23T01:52:53.6698634Z 
2022-11-23T01:52:53.6698709Z OK
2022-11-23T01:52:53.6698850Z 
2022-11-23T01:52:53.6698976Z Generating XML reports...
2022-11-23T01:52:53.6699312Z Test results will be stored in test-reports/python-unittest/test_indexing
2022-11-23T01:52:53.6699695Z 
2022-11-23T01:52:53.6700159Z ##[endgroup]
2022-11-23T01:52:53.6700889Z FINISHED PRINTING LOG FILE of test_indexing (/var/lib/jenkins/workspace/test/test-reports/test_indexing_rlzo0x4w)
2022-11-23T01:52:53.6701170Z 
2022-11-23T01:52:53.6701360Z Running test_jit_cuda_fuser ... [2022-11-23 01:52:53.669450]
2022-11-23T01:52:53.6701842Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_cuda_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:53.669739]
2022-11-23T01:52:56.5415483Z 
2022-11-23T01:52:56.5416578Z Expand the folded group to see the log file of test_jit_cuda_fuser
2022-11-23T01:52:56.5417456Z ##[group]PRINTING LOG FILE of test_jit_cuda_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_cuda_fuser_s9mzru1y)
2022-11-23T01:52:56.5417686Z 
2022-11-23T01:52:56.5417763Z Running tests...
2022-11-23T01:52:56.5418173Z ----------------------------------------------------------------------
2022-11-23T01:52:56.5418564Z Test results will be stored in test-reports/python-unittest/test_jit_cuda_fuser
2022-11-23T01:52:56.5418904Z   test__softmax_function (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5419309Z   test__softmax_function_half_to_float (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5419932Z   test_addcmul_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5420739Z   test_alias_pass_fix (__main__.TestCudaFuser) ... skip: skipping this test since unsqueeze is disabled now (0.001s)
2022-11-23T01:52:56.5421201Z   test_autocast_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5421537Z   test_autocast_1_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5421955Z   test_autocast_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5422256Z   test_autocast_2_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5422562Z   test_backward_type (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5422927Z   test_batch_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5423251Z   test_batch_norm_impl_index_correctness (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5423627Z   test_batch_norm_impl_index_inner_bcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5424005Z   test_bfloat (__main__.TestCudaFuser) ... skip: device does not support BFloat16 (0.001s)
2022-11-23T01:52:56.5424326Z   test_binary_bitwise (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5424625Z   test_binary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5424942Z   test_binary_ops_channels_last_with_bcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5425327Z   test_binary_ops_complex (__main__.TestCudaFuser) ... skip: see issue https://github.com/csarofeen/pytorch/issues/1730 (0.001s)
2022-11-23T01:52:56.5425692Z   test_binary_ops_permutation (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5426000Z   test_branches (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5426284Z   test_broadcasting_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5426584Z   test_broadcasting_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5426877Z   test_broadcasting_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5427172Z   test_broadcasting_3 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5427643Z   test_broadcasting_multiple_output (__main__.TestCudaFuser) ... skip: broadcast on branches can't be resolved yet (0.001s)
2022-11-23T01:52:56.5428055Z   test_broadcasting_multiple_output_shape (__main__.TestCudaFuser) ... skip: Broadcast with different output not supported yet (0.001s)
2022-11-23T01:52:56.5428435Z   test_broadcasting_partition_logic_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5433239Z   test_broadcasting_partition_logic_1 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5434252Z   test_build_shape_expression_native_dropout (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5435101Z   test_category_rule (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2022-11-23T01:52:56.5435802Z   test_channels_last_with_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2022-11-23T01:52:56.5436478Z   test_chunk (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5437078Z   test_clamp (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5437744Z   test_clamp_reversed_bound (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5438441Z   test_clean_profile_ivalue (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5439074Z   test_const (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5439749Z   test_contiguous_on_broadcasted (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5440424Z   test_conv2d_bias (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5441105Z   test_conv2d_symbolic_shapes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5441870Z   test_cpu_scalar (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5442533Z   test_cuda_fusion_guard (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5443233Z   test_cuda_fusion_guard_backward (__main__.TestCudaFuser) ... skip: requires NVFuser (0.001s)
2022-11-23T01:52:56.5443899Z   test_device_constant (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5444660Z   test_disable_const_chunk_propagation_for_normalization (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5445427Z   test_disable_sibling_fuse (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5446201Z   test_dropout_inference_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5446913Z   test_dropout_train_nograd_fusion (__main__.TestCudaFuser) ... skip: not enough memory (0.001s)
2022-11-23T01:52:56.5447661Z   test_dropout_train_nograd_prob_check (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5448382Z   test_dropout_training_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5449079Z   test_dropout_training_prob_check (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5449764Z   test_dynamic_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5450398Z   test_expand (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5451106Z   test_fix_shape_expression_bn (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5451842Z   test_flatten (__main__.TestCudaFuser) ... skip: skipping this test since flatten is disabled now (0.001s)
2022-11-23T01:52:56.5452550Z   test_gelu (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5453191Z   test_grad_sum_to_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2022-11-23T01:52:56.5453920Z   test_graph_for_with_missing_optimized_engine (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5454607Z   test_graph_rng (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5455234Z   test_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5455880Z   test_high_rank_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5456678Z   test_inf_quick_patch (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5457347Z   test_inplace_removal (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5458044Z   test_input_output_passthrough (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5458740Z   test_int_tensor_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5459371Z   test_issue1445_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5460009Z   test_issue_1785 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5460653Z   test_layer_norm_autodiff (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5461331Z   test_layer_norm_parser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5462008Z   test_layer_norm_trivial_reduce_dim (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5462675Z   test_linear (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5463326Z   test_linear_symbolic_shapes (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5463994Z   test_multiple_device_pw (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5464694Z   test_native_batch_norm_backward (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5465381Z   test_native_layer_norm (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5466186Z   test_native_layer_norm_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5466870Z   test_native_layer_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5467616Z   test_nested_view (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.000s)
2022-11-23T01:52:56.5468340Z   test_no_tensor_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5468956Z   test_norm (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5469584Z   test_norm_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5470247Z   test_norm_channels_last (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5470981Z   test_norm_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5471605Z   test_norm_half_layer (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5472261Z   test_norm_large (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5472945Z   test_normalization_partition (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5473694Z   test_nvfuser_comparison_callbacks_with_fallback (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5474572Z   test_nvfuser_comparison_callbacks_without_fallback (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5475316Z   test_overlapped_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5476028Z   test_permutation_preservation (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5476775Z   test_permutation_preservation_edge_case_0 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5477571Z   test_permutation_preservation_edge_case_1_broken (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5478369Z   test_permutation_preservation_edge_case_2 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5479042Z   test_permute (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5479721Z   test_pointwise_reference_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5480416Z   test_profile_ivalue (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5481132Z   test_profile_ivalue_multiple_profiles (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5481897Z   test_profiling_node (__main__.TestCudaFuser) ... skip: Skipped due to rand_like behavior change (0.000s)
2022-11-23T01:52:56.5482655Z   test_pw_single_reduction_partition (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5483347Z   test_random_topo (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5483992Z   test_reduction (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5484635Z   test_reduction_dtypes_axis (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5497571Z   test_reduction_empty_axes (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5498102Z   test_reduction_multiple_output (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5498627Z   test_reduction_permutation (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5499139Z   test_reduction_sizes_op (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5499790Z   test_remove_output_used_only_in_dtype (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5500344Z   test_rsub (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5500883Z   test_scalar_cuda_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5501360Z   test_scalar_input (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5501749Z   test_scalar_tensor (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5502049Z   test_scalar_tensor_permuted (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5502431Z   test_scheduler_with_polymorphic_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5502813Z   test_shape_expression (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s)
2022-11-23T01:52:56.5503146Z   test_sibling_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5503468Z   test_sibling_fusion_no_scalar_inputs (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5503848Z   test_single_reduction_broadcast (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5504165Z   test_singleton_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5504452Z   test_skip_parser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5504747Z   test_softmax (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5505042Z   test_softmax_bfloat (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5505331Z   test_softmax_dtype (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5505631Z   test_softmax_half (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5505928Z   test_softplus_fuser (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5506272Z   test_squeeze (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s)
2022-11-23T01:52:56.5506662Z   test_squeeze_negative_dim (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s)
2022-11-23T01:52:56.5507057Z   test_squeeze_zero (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.001s)
2022-11-23T01:52:56.5507399Z   test_strict_fusion (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5507691Z   test_sum_to_one (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5519712Z   test_sum_to_size (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5520124Z   test_ternary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.002s)
2022-11-23T01:52:56.5520451Z   test_ternary_ops_integer_compatibility (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5520796Z   test_ternary_ops_type_promotion (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5521120Z   test_to_boolean (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5521395Z   test_to_copy (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5521695Z   test_to_dtype_bf16_to_bf16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5522007Z   test_to_dtype_bf16_to_fp32 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5522316Z   test_to_dtype_fp16_to_fp16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5522613Z   test_to_dtype_fp16_to_fp32 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5522921Z   test_to_dtype_fp32_to_bf16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5523226Z   test_to_dtype_fp32_to_fp16 (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5523524Z   test_transpose (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5523816Z   test_transpose_default (__main__.TestCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5524126Z   test_trivial_reduction (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5524426Z   test_type_as_op (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5524797Z   test_type_inference (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5525100Z   test_unary_bitwise (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5525396Z   test_unary_ops (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5525740Z   test_unsqueeze (__main__.TestCudaFuser) ... skip: skipping this test since squeeze/unsqueeze is disabled now (0.000s)
2022-11-23T01:52:56.5526064Z   test_variance (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5526368Z   test_variance_profiling (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5526707Z   test_view (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.000s)
2022-11-23T01:52:56.5527063Z   test_view_before_permute (__main__.TestCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5527417Z   test_view_copy_graph_guard (__main__.TestCudaFuser) ... skip: skipping this test since reshape is disabled now (0.001s)
2022-11-23T01:52:56.5527818Z   test_view_copy_graph_guard_double_fusion (__main__.TestCudaFuser) ... skip: skipping this test since view is disabled now (0.001s)
2022-11-23T01:52:56.5528188Z   test_can_be_enabled_nvfuser (__main__.TestEnableDisableCudaFuser) ... ok (0.002s)
2022-11-23T01:52:56.5528529Z   test_context_manager_test (__main__.TestEnableDisableCudaFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:52:56.5528887Z   test_register_fuser (__main__.TestEnableDisableCudaFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:52:56.5529223Z   test_register_fuser_cpu (__main__.TestEnableDisableCudaFuser) ... ok (0.003s)
2022-11-23T01:52:56.5529532Z   test_autodiff_fallback (jit.test_fuser_common.TestFuserCommon) ... ok (0.055s)
2022-11-23T01:52:56.5529716Z 
2022-11-23T01:52:56.5529982Z ----------------------------------------------------------------------
2022-11-23T01:52:56.5530227Z Ran 158 tests in 0.175s
2022-11-23T01:52:56.5530342Z 
2022-11-23T01:52:56.5530416Z OK (skipped=155)
2022-11-23T01:52:56.5530526Z 
2022-11-23T01:52:56.5530600Z Generating XML reports...
2022-11-23T01:52:56.5531064Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-TestEnableDisableCudaFuser-20221123015255.xml
2022-11-23T01:52:56.5531654Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-jit.test_fuser_common.TestFuserCommon-20221123015255.xml
2022-11-23T01:52:56.5532183Z Generated XML report: test-reports/python-unittest/test_jit_cuda_fuser/TEST-TestCudaFuser-20221123015255.xml
2022-11-23T01:52:56.5532393Z 
2022-11-23T01:52:56.5532778Z ##[endgroup]
2022-11-23T01:52:56.5533170Z FINISHED PRINTING LOG FILE of test_jit_cuda_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_cuda_fuser_s9mzru1y)
2022-11-23T01:52:56.5533396Z 
2022-11-23T01:52:56.5533567Z Running test_jit_disabled ... [2022-11-23 01:52:56.542092]
2022-11-23T01:52:56.5534038Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_disabled.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:56.542326]
2022-11-23T01:52:58.6153614Z 
2022-11-23T01:52:58.6154180Z Expand the folded group to see the log file of test_jit_disabled
2022-11-23T01:52:58.6155371Z ##[group]PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_p84ygb0f)
2022-11-23T01:52:58.6155623Z 
2022-11-23T01:52:58.6155701Z Running tests...
2022-11-23T01:52:58.6156101Z ----------------------------------------------------------------------
2022-11-23T01:52:58.6156575Z Test results will be stored in test-reports/python-unittest/test_jit_disabled
2022-11-23T01:52:58.6156864Z   test_attribute (__main__.TestJitDisabled) ... ok (0.283s)
2022-11-23T01:52:58.6157151Z   test_recursive_script (__main__.TestJitDisabled) ... ok (0.035s)
2022-11-23T01:52:58.6157476Z   test_script_module_construction (__main__.TestJitDisabled) ... ok (0.034s)
2022-11-23T01:52:58.6157650Z 
2022-11-23T01:52:58.6157836Z ----------------------------------------------------------------------
2022-11-23T01:52:58.6158081Z Ran 3 tests in 0.352s
2022-11-23T01:52:58.6158376Z 
2022-11-23T01:52:58.6158444Z OK
2022-11-23T01:52:58.6158539Z 
2022-11-23T01:52:58.6158651Z Generating XML reports...
2022-11-23T01:52:58.6159078Z Generated XML report: test-reports/python-unittest/test_jit_disabled/TEST-TestJitDisabled-20221123015257.xml
2022-11-23T01:52:58.6159313Z 
2022-11-23T01:52:58.6159555Z ##[endgroup]
2022-11-23T01:52:58.6159972Z FINISHED PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_p84ygb0f)
2022-11-23T01:52:58.6160194Z 
2022-11-23T01:52:58.6160394Z Running test_linalg ... [2022-11-23 01:52:58.615547]
2022-11-23T01:52:58.6160939Z Executing ['/opt/conda/bin/python', '-bb', 'test_linalg.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:52:58.615811]
2022-11-23T01:53:00.5876259Z 
2022-11-23T01:53:00.5876786Z Expand the folded group to see the log file of test_linalg
2022-11-23T01:53:00.5877877Z ##[group]PRINTING LOG FILE of test_linalg (/var/lib/jenkins/workspace/test/test-reports/test_linalg_0dveev8a)
2022-11-23T01:53:00.5878111Z 
2022-11-23T01:53:00.5878173Z Running tests...
2022-11-23T01:53:00.5878590Z ----------------------------------------------------------------------
2022-11-23T01:53:00.5878840Z 
2022-11-23T01:53:00.5879144Z ----------------------------------------------------------------------
2022-11-23T01:53:00.5879419Z Ran 0 tests in 0.000s
2022-11-23T01:53:00.5879537Z 
2022-11-23T01:53:00.5879603Z OK
2022-11-23T01:53:00.5879696Z 
2022-11-23T01:53:00.5879783Z Generating XML reports...
2022-11-23T01:53:00.5880114Z Test results will be stored in test-reports/python-unittest/test_linalg
2022-11-23T01:53:00.5880283Z 
2022-11-23T01:53:00.5880514Z ##[endgroup]
2022-11-23T01:53:00.5880976Z FINISHED PRINTING LOG FILE of test_linalg (/var/lib/jenkins/workspace/test/test-reports/test_linalg_0dveev8a)
2022-11-23T01:53:00.5881290Z 
2022-11-23T01:53:00.5881520Z Running test_mobile_optimizer ... [2022-11-23 01:53:00.587772]
2022-11-23T01:53:00.5882000Z Executing ['/opt/conda/bin/python', '-bb', 'test_mobile_optimizer.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:00.587999]
2022-11-23T01:53:04.9594855Z 
2022-11-23T01:53:04.9595393Z Expand the folded group to see the log file of test_mobile_optimizer
2022-11-23T01:53:04.9596478Z ##[group]PRINTING LOG FILE of test_mobile_optimizer (/var/lib/jenkins/workspace/test/test-reports/test_mobile_optimizer_2n7p62n_)
2022-11-23T01:53:04.9596816Z 
2022-11-23T01:53:04.9596896Z Running tests...
2022-11-23T01:53:04.9597363Z ----------------------------------------------------------------------
2022-11-23T01:53:04.9597849Z Test results will be stored in test-reports/python-unittest/test_mobile_optimizer
2022-11-23T01:53:04.9598405Z   test_clone_module_with_class (__main__.TestOptimizer) ... ok (0.265s)
2022-11-23T01:53:04.9599455Z   test_generate_mobile_module_lints (__main__.TestOptimizer) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:53:04.9600077Z   warnings.warn(message, UserWarning)
2022-11-23T01:53:04.9600279Z ok (0.031s)
2022-11-23T01:53:04.9600500Z   test_hoist_conv_packed_params (__main__.TestOptimizer) ... ok (0.458s)
2022-11-23T01:53:04.9600797Z   test_mobilenet_optimize_for_mobile (__main__.TestOptimizer) ... ok (1.376s)
2022-11-23T01:53:04.9601091Z   test_optimize_for_mobile (__main__.TestOptimizer) ... ok (0.172s)
2022-11-23T01:53:04.9601387Z   test_preserve_bundled_inputs_methods (__main__.TestOptimizer) ... ok (0.039s)
2022-11-23T01:53:04.9601684Z   test_quantized_conv_no_asan_failures (__main__.TestOptimizer) ... ok (0.121s)
2022-11-23T01:53:04.9601851Z 
2022-11-23T01:53:04.9602053Z ----------------------------------------------------------------------
2022-11-23T01:53:04.9602296Z Ran 7 tests in 2.462s
2022-11-23T01:53:04.9602411Z 
2022-11-23T01:53:04.9602459Z OK
2022-11-23T01:53:04.9602744Z 
2022-11-23T01:53:04.9602837Z Generating XML reports...
2022-11-23T01:53:04.9603259Z Generated XML report: test-reports/python-unittest/test_mobile_optimizer/TEST-TestOptimizer-20221123015302.xml
2022-11-23T01:53:04.9603497Z 
2022-11-23T01:53:04.9603735Z ##[endgroup]
2022-11-23T01:53:04.9604154Z FINISHED PRINTING LOG FILE of test_mobile_optimizer (/var/lib/jenkins/workspace/test/test-reports/test_mobile_optimizer_2n7p62n_)
2022-11-23T01:53:04.9604383Z 
2022-11-23T01:53:04.9604545Z Running test_modules ... [2022-11-23 01:53:04.959590]
2022-11-23T01:53:04.9605011Z Executing ['/opt/conda/bin/python', '-bb', 'test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:04.959869]
2022-11-23T01:53:07.6185046Z 
2022-11-23T01:53:07.6185653Z Expand the folded group to see the log file of test_modules
2022-11-23T01:53:07.6186825Z ##[group]PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_25qw9obv)
2022-11-23T01:53:07.6187156Z 
2022-11-23T01:53:07.6187279Z Running tests...
2022-11-23T01:53:07.6187844Z ----------------------------------------------------------------------
2022-11-23T01:53:07.6188022Z 
2022-11-23T01:53:07.6188221Z ----------------------------------------------------------------------
2022-11-23T01:53:07.6188459Z Ran 0 tests in 0.000s
2022-11-23T01:53:07.6188572Z 
2022-11-23T01:53:07.6188633Z OK
2022-11-23T01:53:07.6188711Z 
2022-11-23T01:53:07.6188796Z Generating XML reports...
2022-11-23T01:53:07.6189120Z Test results will be stored in test-reports/python-unittest/test_modules
2022-11-23T01:53:07.6189297Z 
2022-11-23T01:53:07.6189522Z ##[endgroup]
2022-11-23T01:53:07.6190013Z FINISHED PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_25qw9obv)
2022-11-23T01:53:07.6190228Z 
2022-11-23T01:53:07.6190414Z Running test_multiprocessing ... [2022-11-23 01:53:07.618590]
2022-11-23T01:53:07.6190909Z Executing ['/opt/conda/bin/python', '-bb', 'test_multiprocessing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:07.618854]
2022-11-23T01:53:13.4031702Z 
2022-11-23T01:53:13.4032267Z Expand the folded group to see the log file of test_multiprocessing
2022-11-23T01:53:13.4033480Z ##[group]PRINTING LOG FILE of test_multiprocessing (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_7ncd75a2)
2022-11-23T01:53:13.4033918Z 
2022-11-23T01:53:13.4034055Z Running tests...
2022-11-23T01:53:13.4034749Z ----------------------------------------------------------------------
2022-11-23T01:53:13.4035336Z Test results will be stored in test-reports/python-unittest/test_multiprocessing
2022-11-23T01:53:13.4035690Z   test_autograd_errors (__main__.TestMultiprocessing) ... ok (0.263s)
2022-11-23T01:53:13.4036250Z   test_autograd_fine_with_spawn (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:53:13.4036665Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:53:13.4037279Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:53:13.4037704Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:53:13.4038146Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:53:13.4038478Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:53:13.4038892Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:53:13.4039240Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:53:13.4039672Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:53:13.4040078Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:53:13.4040697Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:53:13.4041045Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:53:13.4041274Z ok (1.375s)
2022-11-23T01:53:13.4041515Z   test_cuda_bad_call (__main__.TestMultiprocessing) ... skip: CUDA not available (0.001s)
2022-11-23T01:53:13.4041866Z   test_cuda_ipc_deadlock (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4042227Z   test_cuda_memory_allocation (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4042638Z   test_cuda_parameter_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s)
2022-11-23T01:53:13.4042989Z   test_cuda_send_many (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4043325Z   test_cuda_simple (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s)
2022-11-23T01:53:13.4043671Z   test_cuda_small_tensors (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4044011Z   test_cuda_variable_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s)
2022-11-23T01:53:13.4044331Z   test_empty_shared (__main__.TestMultiprocessing) ... ok (0.001s)
2022-11-23T01:53:13.4044625Z   test_empty_tensor_sharing (__main__.TestMultiprocessing) ... ok (0.003s)
2022-11-23T01:53:13.4044949Z   test_empty_tensor_sharing_cuda (__main__.TestMultiprocessing) ... skip: CUDA not available (0.000s)
2022-11-23T01:53:13.4045288Z   test_event (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4045635Z   test_event_handle_exporter (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s)
2022-11-23T01:53:13.4045986Z   test_event_handle_importer (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4046325Z   test_event_handle_multi_gpu (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4046678Z   test_event_multiprocess (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4047532Z   test_fd_pool (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/69660 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:13.4048565Z   test_fd_preserve_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:53:13.4049053Z   warnings.warn(message, UserWarning)
2022-11-23T01:53:13.4049240Z ok (0.184s)
2022-11-23T01:53:13.4050002Z   test_fd_sharing (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68831 for platform(s) win, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:13.4051068Z   test_fs (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76866 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:53:13.4051618Z   test_fs_is_shared (__main__.TestMultiprocessing) ... ok (0.332s)
2022-11-23T01:53:13.4052449Z   test_fs_pool (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/69659 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:53:13.4053005Z   test_fs_preserve_sharing (__main__.TestMultiprocessing) ... ok (0.148s)
2022-11-23T01:53:13.4053828Z   test_fs_sharing (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/67002 for platform(s) windows, mac, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:13.4054944Z   test_inherit_tensor (__main__.TestMultiprocessing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79776 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:53:13.4055763Z   test_integer_parameter_serialization_cpu (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests
2022-11-23T01:53:13.4056164Z   warnings.warn(f"loaded {len(slow_tests_dict)} slow tests")
2022-11-23T01:53:13.4056760Z /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests
2022-11-23T01:53:13.4057098Z   warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests")
2022-11-23T01:53:13.4057327Z ok (1.637s)
2022-11-23T01:53:13.4057618Z   test_integer_parameter_serialization_cuda (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.000s)
2022-11-23T01:53:13.4057942Z   test_is_shared (__main__.TestMultiprocessing) ... ok (0.001s)
2022-11-23T01:53:13.4058251Z   test_is_shared_cuda (__main__.TestMultiprocessing) ... skip: CUDA not available (0.000s)
2022-11-23T01:53:13.4058570Z   test_leaf_variable_sharing (__main__.TestMultiprocessing) ... ok (0.016s)
2022-11-23T01:53:13.4058907Z   test_mixed_types_cuda_sharing (__main__.TestMultiprocessing) ... skip: CUDA IPC not available (0.001s)
2022-11-23T01:53:13.4059228Z   test_non_leaf_variable_sharing (__main__.TestMultiprocessing) ... ok (0.002s)
2022-11-23T01:53:13.4060118Z   test_parameter_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/utils/hooks.py:59: UserWarning: backward hook <function TestMultiprocessing._test_autograd_sharing.<locals>.hook at 0x7f00a5ea11b0> on tensor will not be serialized.  If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning
2022-11-23T01:53:13.4060716Z   warnings.warn("backward hook {} on tensor will not be "
2022-11-23T01:53:13.4060927Z ok (0.011s)
2022-11-23T01:53:13.4061730Z   test_variable_sharing (__main__.TestMultiprocessing) ... /opt/conda/lib/python3.10/site-packages/torch/utils/hooks.py:59: UserWarning: backward hook <function TestMultiprocessing._test_autograd_sharing.<locals>.hook at 0x7f00a5ea1630> on tensor will not be serialized.  If this is expected, you can decorate the function with @torch.utils.hooks.unserializable_hook to suppress this warning
2022-11-23T01:53:13.4062310Z   warnings.warn("backward hook {} on tensor will not be "
2022-11-23T01:53:13.4062518Z ok (0.022s)
2022-11-23T01:53:13.4062774Z   test_wrong_cuda_fork (__main__.TestMultiprocessing) ... skip: CUDA not available (0.001s)
2022-11-23T01:53:13.4062965Z 
2022-11-23T01:53:13.4063154Z ----------------------------------------------------------------------
2022-11-23T01:53:13.4063394Z Ran 37 tests in 4.011s
2022-11-23T01:53:13.4063506Z 
2022-11-23T01:53:13.4063578Z OK (skipped=24)
2022-11-23T01:53:13.4063684Z 
2022-11-23T01:53:13.4063767Z Generating XML reports...
2022-11-23T01:53:13.4064239Z Generated XML report: test-reports/python-unittest/test_multiprocessing/TEST-TestMultiprocessing-20221123015308.xml
2022-11-23T01:53:13.4064487Z 
2022-11-23T01:53:13.4064767Z ##[endgroup]
2022-11-23T01:53:13.4065174Z FINISHED PRINTING LOG FILE of test_multiprocessing (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_7ncd75a2)
2022-11-23T01:53:13.4065393Z 
2022-11-23T01:53:13.4065597Z Running test_multiprocessing_spawn ... [2022-11-23 01:53:13.403319]
2022-11-23T01:53:13.4066098Z Executing ['/opt/conda/bin/python', '-bb', 'test_multiprocessing_spawn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:13.403582]
2022-11-23T01:53:15.4273163Z 
2022-11-23T01:53:15.4273674Z Expand the folded group to see the log file of test_multiprocessing_spawn
2022-11-23T01:53:15.4274726Z ##[group]PRINTING LOG FILE of test_multiprocessing_spawn (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_spawn_yk7x_rm6)
2022-11-23T01:53:15.4275131Z 
2022-11-23T01:53:15.4275243Z Running tests...
2022-11-23T01:53:15.4275800Z ----------------------------------------------------------------------
2022-11-23T01:53:15.4276389Z Test results will be stored in test-reports/python-unittest/test_multiprocessing_spawn
2022-11-23T01:53:15.4276845Z   test_errors_pickleable (__main__.ErrorTest) ... ok (0.241s)
2022-11-23T01:53:15.4277206Z   test_exception_all (__main__.ForkTest) ... ok (0.038s)
2022-11-23T01:53:15.4278439Z   test_exception_single (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/75409 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:53:15.4280143Z   test_first_argument_index (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76009 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:53:15.4281906Z   test_success (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76061 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4283723Z   test_success_first_then_exception (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73340 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4285735Z   test_success_non_blocking (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81280 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4287707Z   test_terminate_exit (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81389 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4289969Z   test_terminate_signal (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72927 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4291985Z   test_exception_all (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74223 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4293911Z   test_exception_raises (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83499 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4295985Z   test_exception_single (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/78982 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4298282Z   test_first_argument_index (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73266 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4299279Z   test_signal_raises (__main__.SpawnTest) ... ok (0.003s)
2022-11-23T01:53:15.4300572Z   test_success (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72298 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4302321Z   test_success_first_then_exception (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72625 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4304129Z   test_success_non_blocking (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72926 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4305944Z   test_terminate_exit (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72624 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4307746Z   test_terminate_signal (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73341 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s)
2022-11-23T01:53:15.4308462Z 
2022-11-23T01:53:15.4308796Z ----------------------------------------------------------------------
2022-11-23T01:53:15.4309205Z Ran 19 tests in 0.290s
2022-11-23T01:53:15.4309403Z 
2022-11-23T01:53:15.4309521Z OK (skipped=16)
2022-11-23T01:53:15.4309704Z 
2022-11-23T01:53:15.4309843Z Generating XML reports...
2022-11-23T01:53:15.4310543Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-ErrorTest-20221123015314.xml
2022-11-23T01:53:15.4311670Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-ForkTest-20221123015314.xml
2022-11-23T01:53:15.4312609Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-SpawnTest-20221123015314.xml
2022-11-23T01:53:15.4313016Z 
2022-11-23T01:53:15.4313442Z ##[endgroup]
2022-11-23T01:53:15.4314205Z FINISHED PRINTING LOG FILE of test_multiprocessing_spawn (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_spawn_yk7x_rm6)
2022-11-23T01:53:15.4314740Z 
2022-11-23T01:53:15.4315091Z Running test_namedtuple_return_api ... [2022-11-23 01:53:15.427460]
2022-11-23T01:53:15.4316096Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtuple_return_api.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:15.427750]
2022-11-23T01:53:18.4980170Z 
2022-11-23T01:53:18.4983208Z Expand the folded group to see the log file of test_namedtuple_return_api
2022-11-23T01:53:18.4984015Z ##[group]PRINTING LOG FILE of test_namedtuple_return_api (/var/lib/jenkins/workspace/test/test-reports/test_namedtuple_return_api__6eozfqc)
2022-11-23T01:53:18.4984297Z 
2022-11-23T01:53:18.4984375Z Running tests...
2022-11-23T01:53:18.4984777Z ----------------------------------------------------------------------
2022-11-23T01:53:18.4985167Z Test results will be stored in test-reports/python-unittest/test_namedtuple_return_api
2022-11-23T01:53:18.4985641Z   test_import_return_types (__main__.TestNamedTupleAPI) ... ok (0.231s)
2022-11-23T01:53:18.4986120Z   test_namedtuple_return (__main__.TestNamedTupleAPI) ... /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:149: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T01:53:18.4986674Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T01:53:18.4986913Z Q, R = torch.qr(A, some)
2022-11-23T01:53:18.4987106Z should be replaced with
2022-11-23T01:53:18.4987589Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.)
2022-11-23T01:53:18.4987919Z   ret1 = func(a, *op.input)
2022-11-23T01:53:18.4988286Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:155: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T01:53:18.4988757Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T01:53:18.4989006Z Q, R = torch.qr(A, some)
2022-11-23T01:53:18.4989187Z should be replaced with
2022-11-23T01:53:18.4989657Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2470.)
2022-11-23T01:53:18.4990022Z   ret2 = func(a, *op.input, out=tuple(ret1))
2022-11-23T01:53:18.4990403Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:149: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T01:53:18.4990889Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T01:53:18.4991210Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T01:53:18.4991415Z should be replaced with
2022-11-23T01:53:18.4991688Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T01:53:18.4991903Z and
2022-11-23T01:53:18.4992092Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T01:53:18.4992287Z should be replaced with
2022-11-23T01:53:18.4992747Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T01:53:18.4993087Z   ret1 = func(a, *op.input)
2022-11-23T01:53:18.4993623Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:155: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T01:53:18.4994112Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T01:53:18.4994435Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T01:53:18.4994710Z should be replaced with
2022-11-23T01:53:18.4994987Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T01:53:18.4995201Z and
2022-11-23T01:53:18.4995392Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T01:53:18.4995593Z should be replaced with
2022-11-23T01:53:18.4996055Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2927.)
2022-11-23T01:53:18.4996478Z   ret2 = func(a, *op.input, out=tuple(ret1))
2022-11-23T01:53:18.4996899Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:149: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T01:53:18.4997364Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T01:53:18.4997664Z X = torch.triangular_solve(B, A).solution
2022-11-23T01:53:18.4997876Z should be replaced with
2022-11-23T01:53:18.4998204Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2224.)
2022-11-23T01:53:18.4998529Z   ret1 = func(a, *op.input)
2022-11-23T01:53:18.4998932Z /var/lib/jenkins/workspace/test/test_namedtuple_return_api.py:149: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
2022-11-23T01:53:18.4999331Z LU, pivots = torch.lu(A, compute_pivots)
2022-11-23T01:53:18.4999527Z should be replaced with
2022-11-23T01:53:18.4999755Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
2022-11-23T01:53:18.4999961Z and
2022-11-23T01:53:18.5000164Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
2022-11-23T01:53:18.5000393Z should be replaced with
2022-11-23T01:53:18.5000753Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.)
2022-11-23T01:53:18.5001078Z   ret1 = func(a, *op.input)
2022-11-23T01:53:18.5001256Z ok (0.031s)
2022-11-23T01:53:18.5001494Z   test_native_functions_yaml (__main__.TestNamedTupleAPI) ... ok (1.127s)
2022-11-23T01:53:18.5001664Z 
2022-11-23T01:53:18.5001867Z ----------------------------------------------------------------------
2022-11-23T01:53:18.5002101Z Ran 3 tests in 1.390s
2022-11-23T01:53:18.5002215Z 
2022-11-23T01:53:18.5002277Z OK
2022-11-23T01:53:18.5002373Z 
2022-11-23T01:53:18.5002457Z Generating XML reports...
2022-11-23T01:53:18.5002878Z Generated XML report: test-reports/python-unittest/test_namedtuple_return_api/TEST-TestNamedTupleAPI-20221123015316.xml
2022-11-23T01:53:18.5003129Z 
2022-11-23T01:53:18.5003387Z ##[endgroup]
2022-11-23T01:53:18.5003810Z FINISHED PRINTING LOG FILE of test_namedtuple_return_api (/var/lib/jenkins/workspace/test/test-reports/test_namedtuple_return_api__6eozfqc)
2022-11-23T01:53:18.5004047Z 
2022-11-23T01:53:18.5004182Z Running test_nn ... [2022-11-23 01:53:18.498234]
2022-11-23T01:53:18.5004640Z Executing ['/opt/conda/bin/python', '-bb', 'test_nn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:53:18.498468]
2022-11-23T01:54:02.7842801Z 
2022-11-23T01:54:02.7843276Z Expand the folded group to see the log file of test_nn
2022-11-23T01:54:02.7844167Z ##[group]PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_b8_5peml)
2022-11-23T01:54:02.7844485Z 
2022-11-23T01:54:02.7844604Z Running tests...
2022-11-23T01:54:02.7845184Z ----------------------------------------------------------------------
2022-11-23T01:54:02.7845773Z Test results will be stored in test-reports/python-unittest/test_nn
2022-11-23T01:54:02.7846426Z   test_add_relu (__main__.TestAddRelu) ... ok (0.002s)
2022-11-23T01:54:02.7850419Z   test_add_relu_broadcasting (__main__.TestAddRelu) ... ok (0.001s)
2022-11-23T01:54:02.7850950Z   test_constant_pad_nd (__main__.TestConstantPadNd) ... ok (0.001s)
2022-11-23T01:54:02.7851653Z   test_preserves_memory_format (__main__.TestConstantPadNd) ... ok (0.001s)
2022-11-23T01:54:02.7852295Z   test_pickle_softsign (__main__.TestFunctionalPickle) ... ok (0.001s)
2022-11-23T01:54:02.7852893Z   test_fuse_module_eval_numerics (__main__.TestFusionEval) ... ok (0.264s)
2022-11-23T01:54:02.7853372Z   test_fuse_conv_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s)
2022-11-23T01:54:02.7854196Z   test_fuse_linear_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s)
2022-11-23T01:54:02.7857623Z   test_global_and_local_hooks_order (__main__.TestModuleGlobalHooks) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior.
2022-11-23T01:54:02.7858876Z   warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes "
2022-11-23T01:54:02.7859216Z ok (0.002s)
2022-11-23T01:54:02.7859643Z   test_module_backward_global_hook_writeable (__main__.TestModuleGlobalHooks) ... ok (0.001s)
2022-11-23T01:54:02.7860033Z   test_module_forward_forward_hook_removable (__main__.TestModuleGlobalHooks)
2022-11-23T01:54:02.7860500Z This test is to test when multiple forward hook functions can be registered ... ok (0.002s)
2022-11-23T01:54:02.7860984Z   test_module_forward_preforward_hook_removable (__main__.TestModuleGlobalHooks)
2022-11-23T01:54:02.7861613Z This test is to test when multiple pre-forward hook functions can be ... ok (0.001s)
2022-11-23T01:54:02.7862164Z   test_module_global_forward_preforward_hook_writeable (__main__.TestModuleGlobalHooks) ... ok (0.002s)
2022-11-23T01:54:02.7862916Z   test_module_global_hook_invalid_outputs (__main__.TestModuleGlobalHooks) ... ok (0.002s)
2022-11-23T01:54:02.7873602Z   test_module_global_hooks (__main__.TestModuleGlobalHooks) ... ok (0.009s)
2022-11-23T01:54:02.7875357Z   test_AdaptiveAvgPool1d (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.7876208Z   test_AdaptiveAvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7876723Z   test_AdaptiveAvgPool1d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7877147Z   test_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7877638Z   test_AdaptiveAvgPool1d_one_output (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7878118Z   test_AdaptiveAvgPool1d_one_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7878633Z   test_AdaptiveAvgPool2d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7879102Z   test_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7879604Z   test_AdaptiveAvgPool2d_single (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.7880088Z   test_AdaptiveAvgPool2d_single_1x1output (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.7880543Z   test_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.005s)
2022-11-23T01:54:02.7881064Z   test_AdaptiveAvgPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7881472Z   test_AdaptiveAvgPool2d_tuple (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.7881861Z   test_AdaptiveAvgPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7882313Z   test_AdaptiveAvgPool2d_tuple_none (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7882920Z   test_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7883402Z   test_AdaptiveAvgPool3d_last_dim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7883859Z   test_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7884298Z   test_AdaptiveAvgPool3d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7884754Z   test_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7885197Z   test_AdaptiveAvgPool3d_single (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7885681Z   test_AdaptiveAvgPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7886135Z   test_AdaptiveAvgPool3d_tuple (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7886486Z   test_AdaptiveAvgPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7886917Z   test_AdaptiveAvgPool3d_tuple_none (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.7887425Z   test_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7887910Z   test_AdaptiveLogSoftmax (__main__.TestNN) ... ok (0.075s)
2022-11-23T01:54:02.7888384Z   test_AdaptiveLogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7888842Z   test_AdaptiveMaxPool1d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7889173Z   test_AdaptiveMaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7889643Z   test_AdaptiveMaxPool1d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7890181Z   test_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7890631Z   test_AdaptiveMaxPool2d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7891132Z   test_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7891606Z   test_AdaptiveMaxPool2d_single (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7892085Z   test_AdaptiveMaxPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7892472Z   test_AdaptiveMaxPool2d_tuple (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7892877Z   test_AdaptiveMaxPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7893192Z   test_AdaptiveMaxPool2d_tuple_none (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7893503Z   test_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7893823Z   test_AdaptiveMaxPool3d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7894149Z   test_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7894452Z   test_AdaptiveMaxPool3d_single (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7894765Z   test_AdaptiveMaxPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7895088Z   test_AdaptiveMaxPool3d_single_nonatomic (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7897270Z   test_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7897831Z   test_AdaptiveMaxPool3d_tuple (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.7898406Z   test_AdaptiveMaxPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7898980Z   test_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7899595Z   test_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7899948Z   test_AdaptiveMaxPool3d_tuple_none (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.7900360Z   test_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7900643Z   test_AvgPool1d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7900917Z   test_AvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7901205Z   test_AvgPool1d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7901492Z   test_AvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7901783Z   test_AvgPool1d_stride (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7902070Z   test_AvgPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7902405Z   test_AvgPool1d_stride_pad (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7902690Z   test_AvgPool1d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7902971Z   test_AvgPool2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7903245Z   test_AvgPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7903513Z   test_AvgPool2d_divisor (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7903799Z   test_AvgPool2d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7904091Z   test_AvgPool2d_divisor_stride (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7904396Z   test_AvgPool2d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7904687Z   test_AvgPool2d_divisor_stride_pad (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7905002Z   test_AvgPool2d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7906891Z   test_AvgPool2d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7907436Z   test_AvgPool2d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7908064Z   test_AvgPool2d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7908664Z   test_AvgPool2d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7909265Z   test_AvgPool2d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7909857Z   test_AvgPool2d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7910395Z   test_AvgPool2d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7910809Z   test_AvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7911339Z   test_AvgPool2d_stride (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7911703Z   test_AvgPool2d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7911993Z   test_AvgPool2d_stride_pad (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7912289Z   test_AvgPool2d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7912555Z   test_AvgPool3d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7912829Z   test_AvgPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7913412Z   test_AvgPool3d_divisor (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7913846Z   test_AvgPool3d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7914313Z   test_AvgPool3d_divisor_stride (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7914669Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7915012Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7915354Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7915801Z   test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7916277Z   test_AvgPool3d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7916717Z   test_AvgPool3d_divisor_stride_pad (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7917056Z   test_AvgPool3d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7917536Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7917897Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7918453Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7918841Z   test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7919205Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7919559Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7919908Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7920286Z   test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7920649Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7921006Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7921396Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7921790Z   test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7922144Z   test_AvgPool3d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7922492Z   test_AvgPool3d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7922814Z   test_AvgPool3d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7923168Z   test_AvgPool3d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7923603Z   test_AvgPool3d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.7924102Z   test_AvgPool3d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7924602Z   test_AvgPool3d_no_batch_dim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7925013Z   test_AvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7925301Z   test_AvgPool3d_stride (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7925559Z   test_AvgPool3d_stride1_pad0_gpu_input (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7925925Z   test_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7926335Z   test_AvgPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7926684Z   test_AvgPool3d_stride_pad (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7927075Z   test_AvgPool3d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7941321Z   test_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7941708Z   test_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7942206Z   test_AvgPool3d_stride_pad_gpu_general_output (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7942536Z   test_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7942879Z   test_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7943227Z   test_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7943511Z   test_BCELoss (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.7943794Z   test_BCELoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7944170Z   test_BCELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7944488Z   test_BCELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7944796Z   test_BCELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7945088Z   test_BCELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.7945405Z   test_BCELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7945742Z   test_BCELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7946088Z   test_BCELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7946391Z   test_BCELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.7946710Z   test_BCELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7947050Z   test_BCELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7947399Z   test_BCELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7947706Z   test_BCELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.7948012Z   test_BCELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7948339Z   test_BCELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7948684Z   test_BCELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7948981Z   test_BCELoss_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7949255Z   test_BCELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7949549Z   test_BCELoss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.7949852Z   test_BCELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7950147Z   test_BCELoss_scalar_weights (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.7950445Z   test_BCELoss_scalar_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7950797Z   test_BCELoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7951144Z   test_BCELoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7951478Z   test_BCELoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7951770Z   test_BCELoss_weights (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.7952065Z   test_BCELoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7952394Z   test_BCELoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7952708Z   test_BCELoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7953063Z   test_BCELoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7953359Z   test_BCELoss_weights_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7953649Z   test_BCELoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7953956Z   test_BCELoss_weights_no_reduce_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.7954279Z   test_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7954659Z   test_BCEWithLogitsLoss (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.7955006Z   test_BCEWithLogitsLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7955352Z   test_BCEWithLogitsLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7955696Z   test_BCEWithLogitsLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7956389Z   test_BCEWithLogitsLoss_legacy_enum (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T01:54:02.7956786Z   warnings.warn(warning.format(ret))
2022-11-23T01:54:02.7957268Z /opt/conda/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T01:54:02.7957618Z   warnings.warn(warning.format(ret))
2022-11-23T01:54:02.7957802Z ok (0.007s)
2022-11-23T01:54:02.7958073Z   test_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7958397Z   test_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.7958741Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7959108Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7959479Z   test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7959810Z   test_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.7960149Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7960507Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7960884Z   test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7961213Z   test_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.7961541Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7961912Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7962279Z   test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7962597Z   test_BCEWithLogitsLoss_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.7962905Z   test_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7963223Z   test_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.7963558Z   test_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7963881Z   test_BCEWithLogitsLoss_scalar_weights (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.7964234Z   test_BCEWithLogitsLoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7964607Z   test_BCEWithLogitsLoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7964979Z   test_BCEWithLogitsLoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7965288Z   test_BCEWithLogitsLoss_weights (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.7965606Z   test_BCEWithLogitsLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7965968Z   test_BCEWithLogitsLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7966350Z   test_BCEWithLogitsLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7966646Z   test_BatchNorm1d_3d_input (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.7966943Z   test_BatchNorm1d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7967240Z   test_BatchNorm1d_3d_input_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.7967534Z   test_BatchNorm1d_3d_input_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7967841Z   test_BatchNorm1d_3d_input_not_affine (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.7968157Z   test_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7968474Z   test_BatchNorm1d_3d_input_not_affine_eval (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.7968788Z   test_BatchNorm1d_3d_input_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7969091Z   test_BatchNorm1d_affine (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.7969381Z   test_BatchNorm1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7969672Z   test_BatchNorm1d_affine_eval (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.7969962Z   test_BatchNorm1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7970271Z   test_BatchNorm1d_affine_simple_average (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.7970597Z   test_BatchNorm1d_affine_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7970909Z   test_BatchNorm1d_affine_simple_average_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.7971247Z   test_BatchNorm1d_affine_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7971558Z   test_BatchNorm1d_not_affine (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.7971860Z   test_BatchNorm1d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7972147Z   test_BatchNorm1d_not_affine_eval (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.7972459Z   test_BatchNorm1d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7972764Z   test_BatchNorm1d_not_tracking_stats (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.7973069Z   test_BatchNorm1d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7973385Z   test_BatchNorm1d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.7973715Z   test_BatchNorm1d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7974022Z   test_BatchNorm1d_zero_batch (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7974309Z   test_BatchNorm1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7974610Z   test_BatchNorm1d_zero_batch_eval (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.7974918Z   test_BatchNorm1d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7975230Z   test_BatchNorm2d (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.7975494Z   test_BatchNorm2d_2d_simple_average (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.7975810Z   test_BatchNorm2d_2d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7976124Z   test_BatchNorm2d_2d_simple_average_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.7976593Z   test_BatchNorm2d_2d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7977004Z   test_BatchNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7977493Z   test_BatchNorm2d_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.7997840Z   test_BatchNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7998394Z   test_BatchNorm2d_momentum (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.7998966Z   test_BatchNorm2d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.7999522Z   test_BatchNorm2d_momentum_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8000073Z   test_BatchNorm2d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8000633Z   test_BatchNorm2d_not_affine (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8001187Z   test_BatchNorm2d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8001736Z   test_BatchNorm2d_not_affine_eval (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8002301Z   test_BatchNorm2d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8002687Z   test_BatchNorm2d_not_tracking_stats (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8003009Z   test_BatchNorm2d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8003318Z   test_BatchNorm2d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8003652Z   test_BatchNorm2d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8003964Z   test_BatchNorm2d_zero_batch (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8004252Z   test_BatchNorm2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8004555Z   test_BatchNorm2d_zero_batch_eval (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8004868Z   test_BatchNorm2d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8005154Z   test_BatchNorm3d (__main__.TestNN) ... ok (0.028s)
2022-11-23T01:54:02.8005407Z   test_BatchNorm3d_3d_simple_average (__main__.TestNN) ... ok (0.024s)
2022-11-23T01:54:02.8005723Z   test_BatchNorm3d_3d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8006038Z   test_BatchNorm3d_3d_simple_average_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8006353Z   test_BatchNorm3d_3d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8006686Z   test_BatchNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8007733Z   test_BatchNorm3d_eval (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8008017Z   test_BatchNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8008291Z   test_BatchNorm3d_momentum (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.8008586Z   test_BatchNorm3d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8008888Z   test_BatchNorm3d_momentum_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8009195Z   test_BatchNorm3d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8009479Z   test_BatchNorm3d_not_affine (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8009884Z   test_BatchNorm3d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8010188Z   test_BatchNorm3d_not_affine_eval (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8010486Z   test_BatchNorm3d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8010793Z   test_BatchNorm3d_not_tracking_stats (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8011114Z   test_BatchNorm3d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8011434Z   test_BatchNorm3d_not_tracking_stats_eval (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.8011786Z   test_BatchNorm3d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8012096Z   test_BatchNorm3d_zero_batch (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8012400Z   test_BatchNorm3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8012690Z   test_BatchNorm3d_zero_batch_eval (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8012997Z   test_BatchNorm3d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8013273Z   test_CELU (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8013531Z   test_CELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8013786Z   test_CELU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8014070Z   test_CELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8014346Z   test_CELU_scalar (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8014610Z   test_CELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8014913Z   test_CTCLoss_2d_int_target_lengths_intlists (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8015252Z   test_CTCLoss_2d_int_target_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8015619Z   test_CTCLoss_2d_int_target_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8015950Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8016314Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8016902Z   test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8017249Z   test_CTCLoss_2d_int_target_lengths_tensors (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8017571Z   test_CTCLoss_2d_int_target_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8017942Z   test_CTCLoss_2d_int_target_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8018279Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8018628Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8019021Z   test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8019351Z   test_CTCLoss_2d_lengths_tensors (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8019662Z   test_CTCLoss_2d_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8020000Z   test_CTCLoss_2d_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8020318Z   test_CTCLoss_2d_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8020710Z   test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8021093Z   test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8021424Z   test_CTCLoss_critical_target_len (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8021721Z   test_CTCLoss_lengthchecks_cpu (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8022017Z   test_CTCLoss_lengthchecks_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8022295Z   test_CTCLoss_lengths_intlists (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8022647Z   test_CTCLoss_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8022991Z   test_CTCLoss_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8023310Z   test_CTCLoss_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8023636Z   test_CTCLoss_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8024005Z   test_CTCLoss_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8024317Z   test_CTCLoss_lengths_tensors (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8024626Z   test_CTCLoss_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8024957Z   test_CTCLoss_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8025276Z   test_CTCLoss_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8025611Z   test_CTCLoss_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8025972Z   test_CTCLoss_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8026303Z   test_CTCLoss_long_targets (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8026586Z   test_CTCLoss_typechecks (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8026867Z   test_CTCLoss_zero_infinity (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8027132Z   test_ConstantPad1d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8027391Z   test_ConstantPad1d_batch (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8027692Z   test_ConstantPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8027978Z   test_ConstantPad1d_complex (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8028282Z   test_ConstantPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8028603Z   test_ConstantPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8028882Z   test_ConstantPad2d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8029127Z   test_ConstantPad2d_complex (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8029430Z   test_ConstantPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8029757Z   test_ConstantPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8030038Z   test_ConstantPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8030350Z   test_ConstantPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8030638Z   test_ConstantPad3d (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8030895Z   test_ConstantPad3d_complex (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8031183Z   test_ConstantPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8031505Z   test_ConstantPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8031826Z   test_ConstantPad3d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8032127Z   test_ConstantPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8032406Z   test_Conv1d (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8032655Z   test_Conv1d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.026s)
2022-11-23T01:54:02.8032966Z   test_Conv1d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8033267Z   test_Conv1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8033565Z   test_Conv1d_dilated (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8033842Z   test_Conv1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8034103Z   test_Conv1d_groups (__main__.TestNN) ... ok (0.060s)
2022-11-23T01:54:02.8034381Z   test_Conv1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8034728Z   test_Conv1d_pad1 (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8034992Z   test_Conv1d_pad1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8035266Z   test_Conv1d_pad1size1 (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8035547Z   test_Conv1d_pad1size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8035821Z   test_Conv1d_pad2 (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8036080Z   test_Conv1d_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8036359Z   test_Conv1d_pad2size1 (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8036640Z   test_Conv1d_pad2size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8036908Z   test_Conv1d_pad_same (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8037734Z   test_Conv1d_pad_same2 (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:309: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:54:02.8038325Z   return F.conv1d(input, weight, bias, self.stride,
2022-11-23T01:54:02.8038532Z ok (0.023s)
2022-11-23T01:54:02.8038776Z   test_Conv1d_pad_same2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8039076Z   test_Conv1d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8039367Z   test_Conv1d_pad_same_dilated (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8039665Z   test_Conv1d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8039942Z   test_Conv1d_pad_valid (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8040225Z   test_Conv1d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8040520Z   test_Conv1d_reflect_stride2_pad2 (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8040828Z   test_Conv1d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8041121Z   test_Conv1d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8041434Z   test_Conv1d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8041724Z   test_Conv1d_stride (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8041993Z   test_Conv1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8042277Z   test_Conv1d_zero_batch (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8042564Z   test_Conv1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8042858Z   test_Conv1d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.8043189Z   test_Conv1d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8043470Z   test_Conv2d (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8043726Z   test_Conv2d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.033s)
2022-11-23T01:54:02.8044026Z   test_Conv2d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8044348Z   test_Conv2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8044625Z   test_Conv2d_depthwise (__main__.TestNN) ... ok (0.026s)
2022-11-23T01:54:02.8044911Z   test_Conv2d_depthwise_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8045221Z   test_Conv2d_depthwise_dilated (__main__.TestNN) ... ok (0.026s)
2022-11-23T01:54:02.8045534Z   test_Conv2d_depthwise_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8045841Z   test_Conv2d_depthwise_padded (__main__.TestNN) ... ok (0.028s)
2022-11-23T01:54:02.8046135Z   test_Conv2d_depthwise_padded_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8046437Z   test_Conv2d_depthwise_strided (__main__.TestNN) ... ok (0.025s)
2022-11-23T01:54:02.8046747Z   test_Conv2d_depthwise_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8047060Z   test_Conv2d_depthwise_with_multiplier (__main__.TestNN) ... ok (0.028s)
2022-11-23T01:54:02.8047377Z   test_Conv2d_depthwise_with_multiplier_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8047675Z   test_Conv2d_dilated (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8047961Z   test_Conv2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8048247Z   test_Conv2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8048571Z   test_Conv2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8048863Z   test_Conv2d_groups (__main__.TestNN) ... ok (0.025s)
2022-11-23T01:54:02.8049144Z   test_Conv2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8049417Z   test_Conv2d_groups_thnn (__main__.TestNN) ... ok (0.025s)
2022-11-23T01:54:02.8049702Z   test_Conv2d_groups_thnn_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8050005Z   test_Conv2d_groups_thnn_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8050312Z   test_Conv2d_groups_thnn_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8050623Z   test_Conv2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8050934Z   test_Conv2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8051221Z   test_Conv2d_no_bias (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8051485Z   test_Conv2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8051776Z   test_Conv2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8052085Z   test_Conv2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8052360Z   test_Conv2d_pad_same (__main__.TestNN) ... ok (0.023s)
2022-11-23T01:54:02.8052636Z   test_Conv2d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8052917Z   test_Conv2d_pad_same_dilated (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8053216Z   test_Conv2d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8053490Z   test_Conv2d_pad_valid (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8053774Z   test_Conv2d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8054081Z   test_Conv2d_padding (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8054351Z   test_Conv2d_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8054649Z   test_Conv2d_padding_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8054962Z   test_Conv2d_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8055263Z   test_Conv2d_reflect_stride2_pad2 (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8055558Z   test_Conv2d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8055862Z   test_Conv2d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8056206Z   test_Conv2d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8056636Z   test_Conv2d_strided (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8056924Z   test_Conv2d_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8057220Z   test_Conv2d_strided_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8057530Z   test_Conv2d_strided_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8057815Z   test_Conv2d_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8058112Z   test_Conv2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8058399Z   test_Conv2d_zero_batch (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8058678Z   test_Conv2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8058975Z   test_Conv2d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8059292Z   test_Conv2d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8059596Z   test_Conv2d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8059887Z   test_Conv2d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8060163Z   test_Conv3d (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8060400Z   test_Conv3d_1x1x1_no_bias (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8060672Z   test_Conv3d_1x1x1_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8060972Z   test_Conv3d_1x1x1_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8061286Z   test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8061595Z   test_Conv3d_circular_stride2_pad2 (__main__.TestNN) ... ok (0.043s)
2022-11-23T01:54:02.8061893Z   test_Conv3d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8062206Z   test_Conv3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8062475Z   test_Conv3d_dilated (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8062740Z   test_Conv3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8063023Z   test_Conv3d_dilated_strided (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8063319Z   test_Conv3d_dilated_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8063599Z   test_Conv3d_groups (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8063863Z   test_Conv3d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8064156Z   test_Conv3d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8064470Z   test_Conv3d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8064743Z   test_Conv3d_no_bias (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8065077Z   test_Conv3d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8065371Z   test_Conv3d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8065684Z   test_Conv3d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8065958Z   test_Conv3d_pad_same (__main__.TestNN) ... ok (0.031s)
2022-11-23T01:54:02.8066239Z   test_Conv3d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8066528Z   test_Conv3d_pad_same_dilated (__main__.TestNN) ... ok (0.029s)
2022-11-23T01:54:02.8066814Z   test_Conv3d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8067159Z   test_Conv3d_pad_valid (__main__.TestNN) ... ok (0.026s)
2022-11-23T01:54:02.8067437Z   test_Conv3d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8067734Z   test_Conv3d_replicate_stride2_pad2 (__main__.TestNN) ... ok (0.024s)
2022-11-23T01:54:02.8068036Z   test_Conv3d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8068323Z   test_Conv3d_stride (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8068599Z   test_Conv3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8068870Z   test_Conv3d_stride_padding (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8069169Z   test_Conv3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8069478Z   test_Conv3d_stride_padding_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8069811Z   test_Conv3d_stride_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8070114Z   test_Conv3d_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8070426Z   test_Conv3d_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8070726Z   test_Conv3d_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8071009Z   test_Conv3d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8071291Z   test_Conv3d_zero_batch (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8071571Z   test_Conv3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8071869Z   test_Conv3d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8072174Z   test_Conv3d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8072479Z   test_Conv3d_zeros_stride2_pad2 (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8072778Z   test_Conv3d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8073058Z   test_ConvTranspose1d (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8073348Z   test_ConvTranspose1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8073643Z   test_ConvTranspose1d_dilated (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8073946Z   test_ConvTranspose1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8074234Z   test_ConvTranspose1d_groups (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8074617Z   test_ConvTranspose1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8074918Z   test_ConvTranspose1d_no_bias (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8075210Z   test_ConvTranspose1d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8075508Z   test_ConvTranspose2d (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8075794Z   test_ConvTranspose2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8076083Z   test_ConvTranspose2d_dilated (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8076409Z   test_ConvTranspose2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8076733Z   test_ConvTranspose2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8077073Z   test_ConvTranspose2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8077378Z   test_ConvTranspose2d_groups (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8077683Z   test_ConvTranspose2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8078000Z   test_ConvTranspose2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8078367Z   test_ConvTranspose2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8078669Z   test_ConvTranspose2d_no_bias (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8078973Z   test_ConvTranspose2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8079287Z   test_ConvTranspose2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8079610Z   test_ConvTranspose2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8079931Z   test_ConvTranspose2d_with_long_tensor (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8080258Z   test_ConvTranspose2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8080555Z   test_ConvTranspose3d (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8080832Z   test_ConvTranspose3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8081121Z   test_ConvTranspose3d_dilated (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8081427Z   test_ConvTranspose3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8081717Z   test_CosineEmbeddingLoss (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8082027Z   test_CosineEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8082382Z   test_CosineEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8082728Z   test_CosineEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8083029Z   test_CosineEmbeddingLoss_margin (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8083356Z   test_CosineEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8083726Z   test_CosineEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8084088Z   test_CosineEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8084412Z   test_CosineEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.8084766Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8085156Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8085534Z   test_CosineEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8085874Z   test_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8086219Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8086603Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8086969Z   test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8087341Z   test_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8087693Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8088078Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8088443Z   test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8088781Z   test_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8089158Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8089543Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8089909Z   test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8090250Z   test_CosineEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.8090597Z   test_CosineEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8090964Z   test_CosineEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8091346Z   test_CosineEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8091663Z   test_CrossEntropyLoss (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8091928Z   test_CrossEntropyLoss_2d (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8092224Z   test_CrossEntropyLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8092570Z   test_CrossEntropyLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8092917Z   test_CrossEntropyLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8093218Z   test_CrossEntropyLoss_2d_ignore_index (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8093555Z   test_CrossEntropyLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8093929Z   test_CrossEntropyLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8094298Z   test_CrossEntropyLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8094628Z   test_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8094989Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8095381Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8095772Z   test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8096124Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8096659Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8097087Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8097502Z   test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8097866Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8098308Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8098727Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8099145Z   test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8099504Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8099877Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8100324Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8100731Z   test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8101058Z   test_CrossEntropyLoss_2d_prob_target (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8101393Z   test_CrossEntropyLoss_2d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8101760Z   test_CrossEntropyLoss_2d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8102124Z   test_CrossEntropyLoss_2d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8102443Z   test_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8102795Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8103177Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8103545Z   test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8103906Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8104287Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8104697Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8105097Z   test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8105457Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8105822Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8106223Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8106604Z   test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8106954Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8107314Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8107700Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8108077Z   test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8108419Z   test_CrossEntropyLoss_2d_prob_target_weights (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8108805Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8109190Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8109557Z   test_CrossEntropyLoss_2d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8109909Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8110283Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8110719Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8111111Z   test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8111452Z   test_CrossEntropyLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8111793Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8112146Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8112505Z   test_CrossEntropyLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8112823Z   test_CrossEntropyLoss_2d_weights (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8113149Z   test_CrossEntropyLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8113496Z   test_CrossEntropyLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8113852Z   test_CrossEntropyLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8114183Z   test_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8114621Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8115004Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8115393Z   test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8115754Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8116137Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8116542Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8116954Z   test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8117332Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8117715Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8118121Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8118539Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8118928Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8119370Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8119802Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8120243Z   test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8120605Z   test_CrossEntropyLoss_3d_prob_target (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8120934Z   test_CrossEntropyLoss_3d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8121317Z   test_CrossEntropyLoss_3d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8121676Z   test_CrossEntropyLoss_3d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8122009Z   test_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8122346Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8122729Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8123111Z   test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8123465Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8123836Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8124244Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8124652Z   test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8125014Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8125360Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8125751Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8126139Z   test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8126482Z   test_CrossEntropyLoss_3d_prob_target_weights (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8126820Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8127203Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8127581Z   test_CrossEntropyLoss_3d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8127933Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8128297Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8128701Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8129107Z   test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8129449Z   test_CrossEntropyLoss_4d_prob_target (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8129794Z   test_CrossEntropyLoss_4d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8130157Z   test_CrossEntropyLoss_4d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8130519Z   test_CrossEntropyLoss_4d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8130855Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8131198Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8131620Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8132005Z   test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8132337Z   test_CrossEntropyLoss_4d_prob_target_weights (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8132685Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8133066Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8133441Z   test_CrossEntropyLoss_4d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8133785Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8134162Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8134566Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8134972Z   test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8135324Z   test_CrossEntropyLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8135661Z   test_CrossEntropyLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8135991Z   test_CrossEntropyLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8136288Z   test_CrossEntropyLoss_dim_is_3 (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8136824Z   test_CrossEntropyLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8137220Z   test_CrossEntropyLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8137567Z   test_CrossEntropyLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8137883Z   test_CrossEntropyLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8138231Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8138609Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8138983Z   test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8139293Z   test_CrossEntropyLoss_higher_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8139620Z   test_CrossEntropyLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8139985Z   test_CrossEntropyLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8140339Z   test_CrossEntropyLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8140726Z   test_CrossEntropyLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8141083Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8141473Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8141859Z   test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8142171Z   test_CrossEntropyLoss_weights (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8142548Z   test_CrossEntropyLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8142910Z   test_CrossEntropyLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8143255Z   test_CrossEntropyLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8143560Z   test_CrossMapLRN2d (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8143851Z   test_CrossMapLRN2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8144122Z   test_ELU (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8144371Z   test_ELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8144643Z   test_ELU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8144929Z   test_ELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8145191Z   test_ELU_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8145469Z   test_ELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8145743Z   test_Embedding (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8145991Z   test_EmbeddingBag_discontiguous (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8146315Z   test_EmbeddingBag_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8146621Z   test_EmbeddingBag_max (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8146913Z   test_EmbeddingBag_max_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8147204Z   test_EmbeddingBag_max_padding_idx (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8147527Z   test_EmbeddingBag_max_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8147832Z   test_EmbeddingBag_mean (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8148117Z   test_EmbeddingBag_mean_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8148427Z   test_EmbeddingBag_mean_padding_idx (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8148756Z   test_EmbeddingBag_mean_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8149066Z   test_EmbeddingBag_sparse (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8149354Z   test_EmbeddingBag_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8149643Z   test_EmbeddingBag_sum (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8149934Z   test_EmbeddingBag_sum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8150226Z   test_EmbeddingBag_sum_padding_idx (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8150542Z   test_EmbeddingBag_sum_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8150867Z   test_Embedding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8151158Z   test_Embedding_discontiguous (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8151457Z   test_Embedding_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8151747Z   test_Embedding_sparse (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8152064Z   test_Embedding_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8152327Z   test_Flatten (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8152592Z   test_Flatten_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8152871Z   test_Flatten_no_batch_dim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8153162Z   test_Flatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8153415Z   test_Fold (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8153674Z   test_Fold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8153968Z   test_Fold_int_input (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8154234Z   test_Fold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8154589Z   test_Fold_no_batch_dim_input (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8154891Z   test_Fold_no_batch_dim_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8155192Z   test_Fold_no_batch_dim_int_input (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8155486Z   test_Fold_no_batch_dim_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8155793Z   test_FractionalMaxPool2d_ratio (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8156114Z   test_FractionalMaxPool2d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8156430Z   test_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8156776Z   test_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8157132Z   test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8157511Z   test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8157859Z   test_FractionalMaxPool2d_ratio_return_indices (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8158207Z   test_FractionalMaxPool2d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8158529Z   test_FractionalMaxPool2d_size (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8158845Z   test_FractionalMaxPool2d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8159156Z   test_FractionalMaxPool2d_size_no_batch_dim (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8159498Z   test_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8159851Z   test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8160215Z   test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8160553Z   test_FractionalMaxPool3d_asymsize (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8160876Z   test_FractionalMaxPool3d_asymsize_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8161190Z   test_FractionalMaxPool3d_ratio (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8161498Z   test_FractionalMaxPool3d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8161824Z   test_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8162167Z   test_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8162513Z   test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8162923Z   test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8163280Z   test_FractionalMaxPool3d_ratio_return_indices (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8163626Z   test_FractionalMaxPool3d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8163938Z   test_FractionalMaxPool3d_size (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8164252Z   test_FractionalMaxPool3d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8164571Z   test_FractionalMaxPool3d_size_no_batch_dim (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8164913Z   test_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8165287Z   test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8165661Z   test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8165966Z   test_GELU (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8166214Z   test_GELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8166482Z   test_GELU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8166762Z   test_GELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8167034Z   test_GELU_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8167295Z   test_GELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8167557Z   test_GLU (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8167812Z   test_GLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8168053Z   test_GLU_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8168315Z   test_GLU_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8168585Z   test_GLU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8168856Z   test_GLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8169140Z   test_GroupNorm_1d_affine (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8169395Z   test_GroupNorm_1d_affine_GN (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8169690Z   test_GroupNorm_1d_affine_GN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8169977Z   test_GroupNorm_1d_affine_GN_eval (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8170289Z   test_GroupNorm_1d_affine_GN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8170617Z   test_GroupNorm_1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8170892Z   test_GroupNorm_1d_affine_eval (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8171190Z   test_GroupNorm_1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8171537Z   test_GroupNorm_1d_affine_large_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8171888Z   test_GroupNorm_1d_affine_large_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8172184Z   test_GroupNorm_1d_no_affine_IN (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8172488Z   test_GroupNorm_1d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8172787Z   test_GroupNorm_1d_no_affine_IN_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8173100Z   test_GroupNorm_1d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8173391Z   test_GroupNorm_1d_no_affine_LN (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8173692Z   test_GroupNorm_1d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8174025Z   test_GroupNorm_1d_no_affine_LN_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8174329Z   test_GroupNorm_1d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8174621Z   test_GroupNorm_2d_affine (__main__.TestNN) ... ok (0.023s)
2022-11-23T01:54:02.8174911Z   test_GroupNorm_2d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8175202Z   test_GroupNorm_2d_affine_eval (__main__.TestNN) ... ok (0.023s)
2022-11-23T01:54:02.8175488Z   test_GroupNorm_2d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8175861Z   test_GroupNorm_2d_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8176215Z   test_GroupNorm_2d_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8176654Z   test_GroupNorm_2d_no_affine_IN (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8176968Z   test_GroupNorm_2d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8177268Z   test_GroupNorm_2d_no_affine_IN_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8177582Z   test_GroupNorm_2d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8177872Z   test_GroupNorm_2d_no_affine_LN (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8178174Z   test_GroupNorm_2d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8178475Z   test_GroupNorm_2d_no_affine_LN_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8178777Z   test_GroupNorm_2d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8179126Z   test_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8179488Z   test_GroupNorm_2d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8179781Z   test_Hardshrink (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8180046Z   test_Hardshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8180328Z   test_Hardshrink_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8180626Z   test_Hardshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8180919Z   test_Hardshrink_scalar (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8181193Z   test_Hardshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8181486Z   test_Hardsigmoid_no_batch_dim (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8181789Z   test_Hardsigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8182072Z   test_Hardswish_no_batch_dim (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8182371Z   test_Hardswish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8182649Z   test_Hardtanh (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8182906Z   test_Hardtanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8183186Z   test_Hardtanh_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8183482Z   test_Hardtanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8183762Z   test_Hardtanh_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8184033Z   test_Hardtanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8184329Z   test_HingeEmbeddingLoss (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8184640Z   test_HingeEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8185034Z   test_HingeEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8185379Z   test_HingeEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8185689Z   test_HingeEmbeddingLoss_margin (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8186015Z   test_HingeEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8186363Z   test_HingeEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8186723Z   test_HingeEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8187089Z   test_HingeEmbeddingLoss_margin_no_reduce (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8187429Z   test_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8187755Z   test_HingeEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8188115Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8188510Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8188883Z   test_HingeEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8189228Z   test_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8189581Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8189970Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8190339Z   test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8190679Z   test_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8191028Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8191410Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8191774Z   test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8192111Z   test_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8192458Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8192843Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8193208Z   test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8193542Z   test_HingeEmbeddingLoss_no_reduce (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8193868Z   test_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8194181Z   test_HingeEmbeddingLoss_scalar_margin (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8194588Z   test_HingeEmbeddingLoss_scalar_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8194971Z   test_HingeEmbeddingLoss_scalar_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8195348Z   test_HingeEmbeddingLoss_scalar_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8195681Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8196091Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8196495Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8196899Z   test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8197232Z   test_HingeEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8197571Z   test_HingeEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8197945Z   test_HingeEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8198346Z   test_HingeEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8198634Z   test_HuberLoss (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8198920Z   test_HuberLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8199239Z   test_HuberLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8199542Z   test_HuberLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8199857Z   test_HuberLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8200135Z   test_HuberLoss_delta (__main__.TestNN) ... ok (0.074s)
2022-11-23T01:54:02.8200416Z   test_HuberLoss_delta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8200694Z   test_HuberLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8201012Z   test_HuberLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8201366Z   test_HuberLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8201703Z   test_HuberLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8202009Z   test_HuberLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8202323Z   test_HuberLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8202680Z   test_HuberLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8203020Z   test_HuberLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8203326Z   test_HuberLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8203641Z   test_HuberLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8203981Z   test_HuberLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8204327Z   test_HuberLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8204632Z   test_HuberLoss_sum_reduction (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8204942Z   test_HuberLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8205282Z   test_HuberLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8205624Z   test_HuberLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8205967Z   test_HuberLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8206260Z   test_InstanceNorm1d (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8206537Z   test_InstanceNorm1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8206824Z   test_InstanceNorm1d_eval (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8207152Z   test_InstanceNorm1d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8207444Z   test_InstanceNorm1d_no_batch_dim (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8207758Z   test_InstanceNorm1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8208070Z   test_InstanceNorm1d_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8208392Z   test_InstanceNorm1d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8208693Z   test_InstanceNorm1d_tracking_stats (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8209048Z   test_InstanceNorm1d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8209363Z   test_InstanceNorm1d_tracking_stats_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8209681Z   test_InstanceNorm1d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8210015Z   test_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8210358Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8210696Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8211035Z   test_InstanceNorm1d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8211342Z   test_InstanceNorm2d (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8211632Z   test_InstanceNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8211906Z   test_InstanceNorm2d_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8212197Z   test_InstanceNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8238186Z   test_InstanceNorm2d_no_batch_dim (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8238546Z   test_InstanceNorm2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8238870Z   test_InstanceNorm2d_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8239198Z   test_InstanceNorm2d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8239507Z   test_InstanceNorm2d_tracking_stats (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8239833Z   test_InstanceNorm2d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8240156Z   test_InstanceNorm2d_tracking_stats_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8240476Z   test_InstanceNorm2d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8240811Z   test_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8241165Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8241508Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8241846Z   test_InstanceNorm2d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8242156Z   test_InstanceNorm3d (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8242441Z   test_InstanceNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8242728Z   test_InstanceNorm3d_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8243014Z   test_InstanceNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8243322Z   test_InstanceNorm3d_no_batch_dim (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8243768Z   test_InstanceNorm3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8244073Z   test_InstanceNorm3d_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8244400Z   test_InstanceNorm3d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8244722Z   test_InstanceNorm3d_tracking_stats (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8245041Z   test_InstanceNorm3d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8245350Z   test_InstanceNorm3d_tracking_stats_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8245681Z   test_InstanceNorm3d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8246056Z   test_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8246389Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8246735Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8247089Z   test_InstanceNorm3d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8248039Z   test_KLDivLoss (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8248562Z   warnings.warn(
2022-11-23T01:54:02.8249259Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8249732Z   warnings.warn(
2022-11-23T01:54:02.8250436Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8250899Z   warnings.warn(
2022-11-23T01:54:02.8251054Z ok (0.005s)
2022-11-23T01:54:02.8251269Z   test_KLDivLoss_batch_mean (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8251548Z   test_KLDivLoss_batch_mean_log_target (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8251845Z   test_KLDivLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8252168Z   test_KLDivLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8252492Z   test_KLDivLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8253339Z   test_KLDivLoss_log_target (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8253838Z   warnings.warn(
2022-11-23T01:54:02.8254538Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8255008Z   warnings.warn(
2022-11-23T01:54:02.8255178Z ok (0.005s)
2022-11-23T01:54:02.8255463Z   test_KLDivLoss_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8255814Z   test_KLDivLoss_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8256157Z   test_KLDivLoss_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8256620Z   test_KLDivLoss_log_target_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8256953Z   test_KLDivLoss_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8257328Z   test_KLDivLoss_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8257743Z   test_KLDivLoss_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8258058Z   test_KLDivLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8258371Z   test_KLDivLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8258728Z   test_KLDivLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8259077Z   test_KLDivLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8259372Z   test_KLDivLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8259689Z   test_KLDivLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8260046Z   test_KLDivLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8260398Z   test_KLDivLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8260689Z   test_KLDivLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8261005Z   test_KLDivLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8261356Z   test_KLDivLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8261706Z   test_KLDivLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8261990Z   test_KLDivLoss_no_reduce (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8262285Z   test_KLDivLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8262589Z   test_KLDivLoss_no_reduce_log_target (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8262899Z   test_KLDivLoss_no_reduce_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8263211Z   test_KLDivLoss_no_reduce_scalar (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8263521Z   test_KLDivLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8263842Z   test_KLDivLoss_no_reduce_scalar_log_target (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8264165Z   test_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8265039Z   test_KLDivLoss_scalar (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8265547Z   warnings.warn(
2022-11-23T01:54:02.8266296Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8266755Z   warnings.warn(
2022-11-23T01:54:02.8267455Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8267923Z   warnings.warn(
2022-11-23T01:54:02.8268094Z ok (0.004s)
2022-11-23T01:54:02.8268337Z   test_KLDivLoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8268710Z   test_KLDivLoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8269048Z   test_KLDivLoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8269914Z   test_KLDivLoss_scalar_log_target (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8270424Z   warnings.warn(
2022-11-23T01:54:02.8271129Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8271601Z   warnings.warn(
2022-11-23T01:54:02.8271772Z ok (0.005s)
2022-11-23T01:54:02.8272032Z   test_KLDivLoss_scalar_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8272398Z   test_KLDivLoss_scalar_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8272755Z   test_KLDivLoss_scalar_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8273079Z   test_KLDivLoss_scalar_log_target_sum_reduction (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8273418Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8273806Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8274191Z   test_KLDivLoss_scalar_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8274583Z   test_KLDivLoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8274910Z   test_KLDivLoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8275279Z   test_KLDivLoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8275647Z   test_KLDivLoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8275946Z   test_KLDivLoss_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8276263Z   test_KLDivLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8276619Z   test_KLDivLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8276975Z   test_KLDivLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8277288Z   test_KLDivLoss_with_log_target_no_reduce (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8277622Z   test_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8277978Z   test_KLDivLoss_with_target_no_reduce (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8278299Z   test_KLDivLoss_with_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8278569Z   test_L1Loss (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8278843Z   test_L1Loss_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8279160Z   test_L1Loss_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8279458Z   test_L1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8279803Z   test_L1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8280116Z   test_L1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8280403Z   test_L1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8280703Z   test_L1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8281051Z   test_L1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8281394Z   test_L1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8281681Z   test_L1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8281986Z   test_L1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8282333Z   test_L1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8282676Z   test_L1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8282958Z   test_L1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8283269Z   test_L1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8283432Z   test_L1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8283595Z   test_L1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8283710Z   test_L1Loss_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8283832Z   test_L1Loss_no_reduce_complex (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8283978Z   test_L1Loss_no_reduce_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8284129Z   test_L1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8284250Z   test_L1Loss_no_reduce_scalar (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8284409Z   test_L1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8284519Z   test_L1Loss_scalar (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8284675Z   test_L1Loss_scalar_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8284829Z   test_L1Loss_scalar_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8284982Z   test_L1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8285120Z   test_L1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8285268Z   test_L1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8285376Z   test_LPPool1d (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8285519Z   test_LPPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8285639Z   test_LPPool1d_no_batch_dim (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8285828Z   test_LPPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8285939Z   test_LPPool1d_norm (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8286088Z   test_LPPool1d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8286179Z   test_LPPool2d (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8286321Z   test_LPPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8286430Z   test_LPPool2d_norm (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8286578Z   test_LPPool2d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8286714Z   test_LSTM_cell (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8286842Z   test_LSTM_cell_forward_hidden_size (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8286971Z   test_LSTM_cell_forward_input_size (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8287105Z   test_LayerNorm_1d_elementwise_affine (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8287265Z   test_LayerNorm_1d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8287402Z   test_LayerNorm_1d_elementwise_affine_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8287576Z   test_LayerNorm_1d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8287715Z   test_LayerNorm_1d_empty_elementwise_affine (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8287891Z   test_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8288037Z   test_LayerNorm_1d_empty_elementwise_affine_eval (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8288216Z   test_LayerNorm_1d_empty_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8288349Z   test_LayerNorm_1d_no_elementwise_affine (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8288524Z   test_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8288652Z   test_LayerNorm_1d_no_elementwise_affine_eval (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8288828Z   test_LayerNorm_1d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8288960Z   test_LayerNorm_3d_elementwise_affine (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8289130Z   test_LayerNorm_3d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8289264Z   test_LayerNorm_3d_elementwise_affine_eval (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8289440Z   test_LayerNorm_3d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8289575Z   test_LayerNorm_3d_no_affine_large_feature (__main__.TestNN) ... ok (0.822s)
2022-11-23T01:54:02.8289747Z   test_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8289873Z   test_LayerNorm_3d_no_affine_large_feature_eval (__main__.TestNN) ... ok (0.743s)
2022-11-23T01:54:02.8290052Z   test_LayerNorm_3d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8290184Z   test_LayerNorm_3d_no_elementwise_affine (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8290355Z   test_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8290494Z   test_LayerNorm_3d_no_elementwise_affine_eval (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8290675Z   test_LayerNorm_3d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8290782Z   test_LeakyReLU (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8290928Z   test_LeakyReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8291081Z   test_LeakyReLU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8291228Z   test_LeakyReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8291350Z   test_LeakyReLU_with_negval (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8291510Z   test_LeakyReLU_with_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8291638Z   test_LeakyReLU_with_negval_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8291803Z   test_LeakyReLU_with_negval_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8291958Z   test_LeakyReLU_with_zero_negval (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8292122Z   test_LeakyReLU_with_zero_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8292222Z   test_Linear (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8292350Z   test_Linear_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8292467Z   test_Linear_no_batch_dim (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8292620Z   test_Linear_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8292729Z   test_Linear_no_bias (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8292876Z   test_Linear_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8293003Z   test_LocalResponseNorm_1d (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8293164Z   test_LocalResponseNorm_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8293301Z   test_LocalResponseNorm_2d_uneven_pad (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8293460Z   test_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8293599Z   test_LocalResponseNorm_3d_custom_params (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.8293781Z   test_LocalResponseNorm_3d_custom_params_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8293890Z   test_LogSigmoid (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8294036Z   test_LogSigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8294157Z   test_LogSigmoid_no_batch_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8294317Z   test_LogSigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8294433Z   test_LogSigmoid_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8294575Z   test_LogSigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8294681Z   test_LogSoftmax (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8294827Z   test_LogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8294952Z   test_LogSoftmax_multiparam (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8295115Z   test_LogSoftmax_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8295247Z   test_LogSoftmax_multiparam_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8295412Z   test_LogSoftmax_multiparam_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8295533Z   test_LogSoftmax_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8295677Z   test_LogSoftmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8295780Z   test_MSELoss (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8295929Z   test_MSELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8296079Z   test_MSELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8296224Z   test_MSELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8296376Z   test_MSELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8296745Z   test_MSELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8296917Z   test_MSELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8297068Z   test_MSELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8297190Z   test_MSELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8297358Z   test_MSELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8297601Z   test_MSELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8297764Z   test_MSELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8297890Z   test_MSELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8298055Z   test_MSELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8298220Z   test_MSELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8298383Z   test_MSELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8298483Z   test_MSELoss_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8298633Z   test_MSELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8298759Z   test_MSELoss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8298918Z   test_MSELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8299029Z   test_MSELoss_prec (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8299188Z   test_MSELoss_prec_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8299344Z   test_MSELoss_prec_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8299496Z   test_MSELoss_prec_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8299632Z   test_MSELoss_prec_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8299743Z   test_MSELoss_scalar (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8299901Z   test_MSELoss_scalar_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8300059Z   test_MSELoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8300213Z   test_MSELoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8300369Z   test_MSELoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8300497Z   test_MSELoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8300675Z   test_MSELoss_scalar_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8300847Z   test_MSELoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8301003Z   test_MSELoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8301172Z   test_MSELoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8301292Z   test_MSELoss_sum_reduction (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8301458Z   test_MSELoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8301620Z   test_MSELoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8301819Z   test_MSELoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8301943Z   test_MarginRankingLoss (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8302111Z   test_MarginRankingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8302258Z   test_MarginRankingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8302419Z   test_MarginRankingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8302545Z   test_MarginRankingLoss_margin (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8302746Z   test_MarginRankingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8302916Z   test_MarginRankingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8303086Z   test_MarginRankingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8303231Z   test_MarginRankingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8303418Z   test_MarginRankingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8303602Z   test_MarginRankingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8303771Z   test_MarginRankingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8303917Z   test_MarginRankingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8304100Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8304280Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8304460Z   test_MarginRankingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8304599Z   test_MarginRankingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8304781Z   test_MarginRankingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8304960Z   test_MarginRankingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8305137Z   test_MarginRankingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8305262Z   test_MarginRankingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8305441Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8305622Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8305799Z   test_MarginRankingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8305935Z   test_MarginRankingLoss_sum_reduction (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8306111Z   test_MarginRankingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8306288Z   test_MarginRankingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8306463Z   test_MarginRankingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8306570Z   test_MaxPool1d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8306701Z   test_MaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8306824Z   test_MaxPool1d_return_indices (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8307018Z   test_MaxPool1d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8307134Z   test_MaxPool1d_stride (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8307285Z   test_MaxPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8307401Z   test_MaxPool2d_3d_input (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8307552Z   test_MaxPool2d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8307666Z   test_MaxPool2d_4d_input (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8307830Z   test_MaxPool2d_4d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8307952Z   test_MaxPool2d_return_indices (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8308111Z   test_MaxPool2d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8308220Z   test_MaxPool3d (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8308364Z   test_MaxPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8308485Z   test_MaxPool3d_return_indices (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8308644Z   test_MaxPool3d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8308758Z   test_MaxPool3d_stride (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8308894Z   test_MaxPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8309017Z   test_MaxPool3d_stride_padding (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8309179Z   test_MaxPool3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8309294Z   test_MaxUnpool1d_net (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8309443Z   test_MaxUnpool1d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8309572Z   test_MaxUnpool1d_net_no_batch_dim (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8309733Z   test_MaxUnpool1d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8309844Z   test_MaxUnpool2d_net (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8309979Z   test_MaxUnpool2d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8310106Z   test_MaxUnpool2d_net_no_batch_dim (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8310271Z   test_MaxUnpool2d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8310386Z   test_MaxUnpool3d_net (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8310534Z   test_MaxUnpool3d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8310659Z   test_MaxUnpool3d_net_no_batch_dim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8310822Z   test_MaxUnpool3d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8310921Z   test_Mish (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8311042Z   test_Mish_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8311154Z   test_Mish_no_batch_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8311301Z   test_Mish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8311409Z   test_Mish_scalar (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8311555Z   test_Mish_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8311664Z   test_ModuleDict (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8311768Z   test_ModuleList (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8311894Z   test_MultiLabelMarginLoss (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8312020Z   test_MultiLabelMarginLoss_0d_no_reduce (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8312233Z   test_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8312363Z   test_MultiLabelMarginLoss_1d (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8312539Z   test_MultiLabelMarginLoss_1d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8312711Z   test_MultiLabelMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8312883Z   test_MultiLabelMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8313053Z   test_MultiLabelMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8313219Z   test_MultiLabelMarginLoss_1d_no_reduce (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8313393Z   test_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8313525Z   test_MultiLabelMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8313715Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8313904Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8314091Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8314275Z   test_MultiLabelMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8314449Z   test_MultiLabelMarginLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8314708Z   test_MultiLabelMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8314882Z   test_MultiLabelMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8315049Z   test_MultiLabelMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8315174Z   test_MultiLabelMarginLoss_index_neg (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8315347Z   test_MultiLabelMarginLoss_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8315492Z   test_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8315682Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8315871Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8316057Z   test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8316203Z   test_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8316387Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8316573Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8316741Z   test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8316883Z   test_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8317064Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8317247Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8317430Z   test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8317600Z   test_MultiLabelMarginLoss_no_reduce (__main__.TestNN) ... ok (0.024s)
2022-11-23T01:54:02.8317774Z   test_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8317914Z   test_MultiLabelMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.022s)
2022-11-23T01:54:02.8318086Z   test_MultiLabelMarginLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8318270Z   test_MultiLabelMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8318497Z   test_MultiLabelMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8318679Z   test_MultiLabelMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8318816Z   test_MultiLabelSoftMarginLoss (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8318998Z   test_MultiLabelSoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8319175Z   test_MultiLabelSoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8319351Z   test_MultiLabelSoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8319506Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8319690Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8319886Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8320078Z   test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8320231Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8320424Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8320614Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8320804Z   test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8320957Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8321151Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8321344Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8321523Z   test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8321666Z   test_MultiLabelSoftMarginLoss_no_reduce (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8321847Z   test_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8321990Z   test_MultiLabelSoftMarginLoss_weights (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8322176Z   test_MultiLabelSoftMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8322366Z   test_MultiLabelSoftMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8322553Z   test_MultiLabelSoftMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8322707Z   test_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8322926Z   test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8323074Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8323276Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8323475Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8323675Z   test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8323824Z   test_MultiMarginLoss (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8323946Z   test_MultiMarginLoss_1d (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8324110Z   test_MultiMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8324275Z   test_MultiMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8324420Z   test_MultiMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8324550Z   test_MultiMarginLoss_1d_no_reduce (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8324715Z   test_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8324849Z   test_MultiMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8325026Z   test_MultiMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8325205Z   test_MultiMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8325382Z   test_MultiMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8325544Z   test_MultiMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8325703Z   test_MultiMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8325847Z   test_MultiMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8325971Z   test_MultiMarginLoss_margin (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8326140Z   test_MultiMarginLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8326305Z   test_MultiMarginLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8326473Z   test_MultiMarginLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8326607Z   test_MultiMarginLoss_margin_no_reduce (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8326779Z   test_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8326920Z   test_MultiMarginLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8327104Z   test_MultiMarginLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8327272Z   test_MultiMarginLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8327454Z   test_MultiMarginLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8327578Z   test_MultiMarginLoss_no_reduce (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8327743Z   test_MultiMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8327862Z   test_MultiMarginLoss_p (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8328023Z   test_MultiMarginLoss_p_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8328212Z   test_MultiMarginLoss_p_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8328373Z   test_MultiMarginLoss_p_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8328490Z   test_MultiMarginLoss_p_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8328655Z   test_MultiMarginLoss_p_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8328788Z   test_MultiMarginLoss_p_sum_reduction (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8328966Z   test_MultiMarginLoss_p_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8329179Z   test_MultiMarginLoss_p_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8329355Z   test_MultiMarginLoss_p_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8329488Z   test_MultiMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8329662Z   test_MultiMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8329835Z   test_MultiMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8329995Z   test_MultiMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8330119Z   test_MultiMarginLoss_weights (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8330290Z   test_MultiMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8330463Z   test_MultiMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8330628Z   test_MultiMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8330766Z   test_MultiMarginLoss_weights_no_reduce (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8330941Z   test_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8331080Z   test_MultiMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8331265Z   test_MultiMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8331433Z   test_MultiMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8331613Z   test_MultiMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8331719Z   test_NLLLoss (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8331837Z   test_NLLLoss2d_no_reduce (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8331991Z   test_NLLLoss2d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8332126Z   test_NLLLoss2d_no_reduce_ignore_index (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8332296Z   test_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8332426Z   test_NLLLoss2d_no_reduce_weights (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8332576Z   test_NLLLoss2d_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8332694Z   test_NLLLossNd_no_reduce (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8332848Z   test_NLLLossNd_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8332982Z   test_NLLLossNd_no_reduce_ignore_index (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8333153Z   test_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8333278Z   test_NLLLossNd_no_reduce_weights (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8333472Z   test_NLLLossNd_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8333579Z   test_NLLLoss_2d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8333717Z   test_NLLLoss_2d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8333869Z   test_NLLLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8334017Z   test_NLLLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8334166Z   test_NLLLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8334334Z   test_NLLLoss_2d_ignore_index (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8334502Z   test_NLLLoss_2d_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8334668Z   test_NLLLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8334835Z   test_NLLLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8334997Z   test_NLLLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8335106Z   test_NLLLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8335275Z   test_NLLLoss_2d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8335445Z   test_NLLLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8335612Z   test_NLLLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8335773Z   test_NLLLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8335888Z   test_NLLLoss_2d_weights (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8336052Z   test_NLLLoss_2d_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8336211Z   test_NLLLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8336369Z   test_NLLLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8336638Z   test_NLLLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8336790Z   test_NLLLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8336938Z   test_NLLLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8337087Z   test_NLLLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8337235Z   test_NLLLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8337350Z   test_NLLLoss_dim_is_3 (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8337508Z   test_NLLLoss_dim_is_3_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8337663Z   test_NLLLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8337806Z   test_NLLLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8337960Z   test_NLLLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8338090Z   test_NLLLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8338267Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8338438Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8338660Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8338831Z   test_NLLLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8338948Z   test_NLLLoss_higher_dim (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8339113Z   test_NLLLoss_higher_dim_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8339262Z   test_NLLLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8339423Z   test_NLLLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8339616Z   test_NLLLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8339750Z   test_NLLLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8339929Z   test_NLLLoss_higher_dim_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8340105Z   test_NLLLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8340280Z   test_NLLLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8340454Z   test_NLLLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8340573Z   test_NLLLoss_ignore_index (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8340724Z   test_NLLLoss_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8340887Z   test_NLLLoss_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8341048Z   test_NLLLoss_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8341209Z   test_NLLLoss_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8341335Z   test_NLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8341503Z   test_NLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8341668Z   test_NLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8341829Z   test_NLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8341938Z   test_NLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8342105Z   test_NLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8342269Z   test_NLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8342430Z   test_NLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8342550Z   test_NLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8342715Z   test_NLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8342878Z   test_NLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8343040Z   test_NLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8343153Z   test_NLLLoss_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8343302Z   test_NLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8343432Z   test_NLLLoss_no_reduce_ignore_index (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8343584Z   test_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8343706Z   test_NLLLoss_no_reduce_weights (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8343894Z   test_NLLLoss_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8344036Z   test_NLLLoss_no_reduce_weights_ignore_index (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8344208Z   test_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8344350Z   test_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8344526Z   test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8344673Z   test_NLLLoss_sum_reduction (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8344826Z   test_NLLLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8344988Z   test_NLLLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8345151Z   test_NLLLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8345308Z   test_NLLLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8345418Z   test_NLLLoss_weights (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8345571Z   test_NLLLoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8345728Z   test_NLLLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8345885Z   test_NLLLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8346043Z   test_NLLLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8346159Z   test_NLLLoss_weights_ignore_index (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8346334Z   test_NLLLoss_weights_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8346507Z   test_NLLLoss_weights_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8346678Z   test_NLLLoss_weights_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8346846Z   test_NLLLoss_weights_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8346978Z   test_NLLLoss_weights_ignore_index_neg (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8347154Z   test_NLLLoss_weights_ignore_index_neg_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8347327Z   test_NLLLoss_weights_ignore_index_neg_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8347503Z   test_NLLLoss_weights_ignore_index_neg_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8347664Z   test_NLLLoss_weights_ignore_index_neg_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8347768Z   test_PReLU_1d (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8347912Z   test_PReLU_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8348031Z   test_PReLU_1d_multiparam (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8348188Z   test_PReLU_1d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8348292Z   test_PReLU_2d (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8348436Z   test_PReLU_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8348557Z   test_PReLU_2d_multiparam (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8348699Z   test_PReLU_2d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8348802Z   test_PReLU_3d (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8348971Z   test_PReLU_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8349090Z   test_PReLU_3d_multiparam (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8349245Z   test_PReLU_3d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8349382Z   test_PReLU_backward_requires_grad_false (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8349495Z   test_PReLU_no_batch_dim (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8349647Z   test_PReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8349742Z   test_PReLU_scalar (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8349917Z   test_PReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8350039Z   test_Padding122112_3dcircular (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8350201Z   test_Padding122112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8350325Z   test_Padding1221_2dcircular (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8350486Z   test_Padding1221_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8350607Z   test_Padding12_1dcircular (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8350761Z   test_Padding12_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8350868Z   test_Padding2322_2dcircular (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8351030Z   test_Padding2322_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8351152Z   test_Padding31_1dcircular (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8351310Z   test_Padding31_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8351433Z   test_Padding322112_3dcircular (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8351595Z   test_Padding322112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8351717Z   test_Padding332122_3dcircular (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8351877Z   test_Padding332122_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8351983Z   test_Padding3331_2dcircular (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8352140Z   test_Padding3331_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8352258Z   test_Padding33_1dcircular (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8352412Z   test_Padding33_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8352534Z   test_PairwiseDistance (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8352670Z   test_PairwiseDistance_broadcast_lhs (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8352844Z   test_PairwiseDistance_broadcast_lhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8352976Z   test_PairwiseDistance_broadcast_rhs (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8353136Z   test_PairwiseDistance_broadcast_rhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8353290Z   test_PairwiseDistance_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8353421Z   test_PairwiseDistance_no_batch_dim (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8353593Z   test_PairwiseDistance_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8353734Z   test_PairwiseDistance_with_non_default_args (__main__.TestNN) ... ok (0.018s)
2022-11-23T01:54:02.8353917Z   test_PairwiseDistance_with_non_default_args_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8354029Z   test_ParameterDict (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8354184Z   test_ParameterDict_replication (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8354285Z   test_ParameterList (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8354404Z   test_ParameterList_meta (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8354593Z   test_ParameterList_replication (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8354703Z   test_PixelShuffle (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8354854Z   test_PixelShuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8354970Z   test_PixelUnshuffle (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8355121Z   test_PixelUnshuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8355276Z   test_PoissonNLLLoss_full_loss (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8355431Z   test_PoissonNLLLoss_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8355601Z   test_PoissonNLLLoss_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8355766Z   test_PoissonNLLLoss_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8355905Z   test_PoissonNLLLoss_full_loss_no_log_input (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8356084Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8356264Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8356441Z   test_PoissonNLLLoss_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8356575Z   test_PoissonNLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8356753Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8356917Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8357090Z   test_PoissonNLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8357224Z   test_PoissonNLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8357399Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8357578Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8357750Z   test_PoissonNLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8357885Z   test_PoissonNLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8358057Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8358229Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8358388Z   test_PoissonNLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8358516Z   test_PoissonNLLLoss_no_full_loss (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8358685Z   test_PoissonNLLLoss_no_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8358850Z   test_PoissonNLLLoss_no_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8359013Z   test_PoissonNLLLoss_no_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8359156Z   test_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8359334Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8359542Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8359725Z   test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8359837Z   test_PoissonNLLLoss_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8359997Z   test_PoissonNLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8360098Z   test_RNN_cell (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8360224Z   test_RNN_cell_forward_hidden_size (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8360378Z   test_RNN_cell_forward_input_size (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8360507Z   test_RNN_cell_forward_zero_hidden_size (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8360627Z   test_RNN_cell_no_broadcasting (__main__.TestNN) ... ok (0.035s)
2022-11-23T01:54:02.8360763Z   test_RNN_change_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s)
2022-11-23T01:54:02.8360894Z   test_RNN_cpu_vs_cudnn_no_dropout (__main__.TestNN) ... skip: needs cudnn (0.000s)
2022-11-23T01:54:02.8361039Z   test_RNN_cpu_vs_cudnn_with_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.000s)
2022-11-23T01:54:02.8361171Z   test_RNN_cudnn_weight_norm (__main__.TestNN) ... skip: needs cudnn (0.001s)
2022-11-23T01:54:02.8361296Z   test_RNN_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s)
2022-11-23T01:54:02.8361427Z   test_RNN_dropout_state (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s)
2022-11-23T01:54:02.8361544Z   test_RNN_input_size_zero (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8361658Z   test_RNN_nonlinearity (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8361755Z   test_RReLU (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8361879Z   test_RReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8361992Z   test_RReLU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8362143Z   test_RReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8362255Z   test_RReLU_with_up_down (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8362402Z   test_RReLU_with_up_down_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8362521Z   test_RReLU_with_up_down_scalar (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8362681Z   test_RReLU_with_up_down_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8362778Z   test_ReLU (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8362865Z   test_ReLU6 (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8363001Z   test_ReLU6_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8363112Z   test_ReLU6_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8363262Z   test_ReLU6_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8363368Z   test_ReLU6_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8363512Z   test_ReLU6_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8363645Z   test_ReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8363757Z   test_ReLU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8363892Z   test_ReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8363996Z   test_ReLU_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8364140Z   test_ReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8364255Z   test_ReflectionPad1d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8364376Z   test_ReflectionPad1d_batch (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8364572Z   test_ReflectionPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8364697Z   test_ReflectionPad1d_complex (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8364846Z   test_ReflectionPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8364996Z   test_ReflectionPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8365109Z   test_ReflectionPad2d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8365231Z   test_ReflectionPad2d_complex (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8365391Z   test_ReflectionPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8365567Z   test_ReflectionPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8365695Z   test_ReflectionPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8365862Z   test_ReflectionPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8365976Z   test_ReflectionPad3d (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.8366087Z   test_ReflectionPad3d_complex (__main__.TestNN) ... ok (0.028s)
2022-11-23T01:54:02.8366247Z   test_ReflectionPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8366396Z   test_ReflectionPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8366525Z   test_ReflectionPad3d_no_batch_dim (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8366686Z   test_ReflectionPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8366802Z   test_ReplicationPad1d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8366927Z   test_ReplicationPad1d_batch (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8367088Z   test_ReplicationPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8367204Z   test_ReplicationPad1d_complex (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8367367Z   test_ReplicationPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8367520Z   test_ReplicationPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8367635Z   test_ReplicationPad2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8367760Z   test_ReplicationPad2d_complex (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8367923Z   test_ReplicationPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8368078Z   test_ReplicationPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8368208Z   test_ReplicationPad2d_no_batch_dim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8368364Z   test_ReplicationPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8368482Z   test_ReplicationPad3d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8368606Z   test_ReplicationPad3d_complex (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8368768Z   test_ReplicationPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8368922Z   test_ReplicationPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8369052Z   test_ReplicationPad3d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8369219Z   test_ReplicationPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8369318Z   test_SELU (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8369442Z   test_SELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8369556Z   test_SELU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8369701Z   test_SELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8369832Z   test_SELU_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8369978Z   test_SELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8370089Z   test_Sequential_add (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8370201Z   test_Sequential_append (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8370315Z   test_Sequential_delitem (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8370412Z   test_Sequential_extend (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8370523Z   test_Sequential_getitem (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8370635Z   test_Sequential_iadd (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8370778Z   test_Sequential_imul (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8370889Z   test_Sequential_insert (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8371013Z   test_Sequential_insert_fail_case (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8371123Z   test_Sequential_mul (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8371219Z   test_Sequential_pop (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8371328Z   test_Sequential_rmul (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8371441Z   test_Sequential_setitem (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8371562Z   test_Sequential_setitem_named (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8371659Z   test_SiLU (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8371794Z   test_SiLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8371904Z   test_SiLU_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8372056Z   test_SiLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8372149Z   test_SiLU_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8372295Z   test_SiLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8372400Z   test_Sigmoid (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8372542Z   test_Sigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8372659Z   test_Sigmoid_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8372812Z   test_Sigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8372922Z   test_Sigmoid_scalar (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8373070Z   test_Sigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8373168Z   test_SmoothL1Loss (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8373282Z   test_SmoothL1Loss_beta (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8373430Z   test_SmoothL1Loss_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8373585Z   test_SmoothL1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8373737Z   test_SmoothL1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8373887Z   test_SmoothL1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8374013Z   test_SmoothL1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8374187Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8374346Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8374514Z   test_SmoothL1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8374641Z   test_SmoothL1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8374811Z   test_SmoothL1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8375006Z   test_SmoothL1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8375174Z   test_SmoothL1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8375299Z   test_SmoothL1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8375469Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8375633Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8375789Z   test_SmoothL1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8375942Z   test_SmoothL1Loss_no_reduce (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8376098Z   test_SmoothL1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8376231Z   test_SmoothL1Loss_no_reduce_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8376394Z   test_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8376632Z   test_SmoothL1Loss_scalar (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8376800Z   test_SmoothL1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8376959Z   test_SmoothL1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8377104Z   test_SmoothL1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8377242Z   test_SmoothL1Loss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8377419Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8377593Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8377768Z   test_SmoothL1Loss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8377894Z   test_SmoothL1Loss_sum_reduction (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8378066Z   test_SmoothL1Loss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8378232Z   test_SmoothL1Loss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8378396Z   test_SmoothL1Loss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8378503Z   test_SmoothL1Loss_zero_beta (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8378658Z   test_SmoothL1Loss_zero_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8378771Z   test_SoftMarginLoss (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8378929Z   test_SoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8379086Z   test_SoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8379241Z   test_SoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8379372Z   test_SoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8379548Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8379723Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8379886Z   test_SoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8380019Z   test_SoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8380239Z   test_SoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8380416Z   test_SoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8380586Z   test_SoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8380717Z   test_SoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8380888Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8381057Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8381265Z   test_SoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8381377Z   test_SoftMarginLoss_no_reduce (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8381536Z   test_SoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8381664Z   test_SoftMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8381834Z   test_SoftMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8382005Z   test_SoftMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8382175Z   test_SoftMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8382276Z   test_Softmax (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8382383Z   test_Softmax2d (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8382513Z   test_Softmax2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8382630Z   test_Softmax2d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8382787Z   test_Softmax2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8382925Z   test_Softmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8383039Z   test_Softmax_no_batch_dim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8383188Z   test_Softmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8383297Z   test_Softmax_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8383444Z   test_Softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8383533Z   test_Softmin (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8383674Z   test_Softmin_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8383785Z   test_Softmin_multidim (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8383933Z   test_Softmin_multidim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8384049Z   test_Softmin_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8384200Z   test_Softmin_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8384308Z   test_Softmin_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8384451Z   test_Softmin_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8384543Z   test_Softplus (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8384650Z   test_Softplus_beta (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8384796Z   test_Softplus_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8384918Z   test_Softplus_beta_threshold (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8385073Z   test_Softplus_beta_threshold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8385202Z   test_Softplus_beta_threshold_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8385398Z   test_Softplus_beta_threshold_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8385538Z   test_Softplus_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8385643Z   test_Softplus_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8385796Z   test_Softplus_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8385901Z   test_Softshrink (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8386046Z   test_Softshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8386158Z   test_Softshrink_lambda (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8386336Z   test_Softshrink_lambda_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8386455Z   test_Softshrink_lambda_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8386612Z   test_Softshrink_lambda_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8386722Z   test_Softshrink_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8386880Z   test_Softshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8386981Z   test_Softsign (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8387122Z   test_Softsign_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8387240Z   test_Softsign_no_batch_dim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8387394Z   test_Softsign_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8387510Z   test_Softsign_scalar (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8387659Z   test_Softsign_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8387745Z   test_Tanh (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8387879Z   test_Tanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8387991Z   test_Tanh_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8388139Z   test_Tanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8388243Z   test_Tanh_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8388382Z   test_Tanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8388485Z   test_Tanhshrink (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8388626Z   test_Tanhshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8388734Z   test_Tanhshrink_no_batch_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8388890Z   test_Tanhshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8389001Z   test_Tanhshrink_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8389150Z   test_Tanhshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8389271Z   test_Threshold_large_value (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8389428Z   test_Threshold_large_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8389548Z   test_Threshold_no_batch_dim (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8389703Z   test_Threshold_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8389814Z   test_Threshold_threshold_value (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8389974Z   test_Threshold_threshold_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8390106Z   test_Threshold_threshold_value_scalar (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8390277Z   test_Threshold_threshold_value_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8390433Z   test_TransformerDecoderLayer_gelu_activation (__main__.TestNN) ... ok (0.073s)
2022-11-23T01:54:02.8390657Z   test_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8390810Z   test_TransformerDecoderLayer_relu_activation (__main__.TestNN) ... ok (0.072s)
2022-11-23T01:54:02.8390998Z   test_TransformerDecoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8391135Z   test_TransformerEncoderLayer_gelu_activation (__main__.TestNN) ... ok (0.040s)
2022-11-23T01:54:02.8391326Z   test_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8391503Z   test_TransformerEncoderLayer_relu_activation (__main__.TestNN) ... ok (0.167s)
2022-11-23T01:54:02.8391687Z   test_TransformerEncoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8391801Z   test_Transformer_cell (__main__.TestNN) ... ok (0.648s)
2022-11-23T01:54:02.8391932Z   test_Transformer_multilayer_coder (__main__.TestNN) ... ok (0.406s)
2022-11-23T01:54:02.8392097Z   test_Transformer_multilayer_coder_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8392240Z   test_TripletMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8392426Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8392596Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8392777Z   test_TripletMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8392919Z   test_TripletMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8393101Z   test_TripletMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8393283Z   test_TripletMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8393462Z   test_TripletMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8393599Z   test_TripletMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8393780Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8393961Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8394126Z   test_TripletMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8394247Z   test_Unflatten_no_batch_dim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8394405Z   test_Unflatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8394575Z   test_Unfold (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8394719Z   test_Unfold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8394833Z   test_Unfold_int_input (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8394983Z   test_Unfold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8395090Z   test_ZeroPad2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8395193Z   test_ZeroPad2d_complex (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8395345Z   test_ZeroPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8395496Z   test_ZeroPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8395618Z   test_ZeroPad2d_negative_dims (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8395776Z   test_ZeroPad2d_negative_dims_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8395931Z   test_ZeroPad2d_no_batch_dim (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8396091Z   test_ZeroPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8396207Z   test_adaptive_log_softmax (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8396297Z   test_add_module (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8396431Z   test_add_module_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8396536Z   test_affine_grid (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8396643Z   test_affine_grid_3d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8396793Z   test_affine_grid_error_checking (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8396895Z   test_assignment (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8397017Z   test_backward_hooks_interaction (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8397155Z   test_batchnorm_buffer_update_when_stats_are_not_tracked (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8397300Z   test_batchnorm_cudnn_half (__main__.TestNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:54:02.8397446Z   test_batchnorm_cudnn_nhwc (__main__.TestNN) ... skip: CUDA unavailable (0.002s)
2022-11-23T01:54:02.8397560Z   test_batchnorm_nhwc_cpu (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8397701Z   test_batchnorm_nhwc_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8397820Z   test_batchnorm_non_contig_cpu (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8397979Z   test_batchnorm_nonaffine_cuda_half_input (__main__.TestNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:54:02.8398134Z   test_batchnorm_raises_error_if_bias_is_not_same_size_as_input (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8398292Z   test_batchnorm_raises_error_if_less_than_one_value_per_channel (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8398445Z   test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8398607Z   test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8398777Z   test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad (__main__.TestNN) ... ok (0.013s)
2022-11-23T01:54:02.8398936Z   test_batchnorm_raises_error_if_weight_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8399064Z   test_bce_loss_always_nonnegative (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8399188Z   test_bce_loss_broadcasts_weights (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8399303Z   test_bce_loss_input_range (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8399422Z   test_bce_loss_size_mismatch (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8399547Z   test_bce_with_logits_broadcasts_pos_weights (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8399678Z   test_bce_with_logits_broadcasts_weights (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8399833Z   test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8400013Z   test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad (__main__.TestNN) ... ok (0.037s)
2022-11-23T01:54:02.8400152Z   test_bce_with_logits_has_correct_forward_grad (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8400290Z   test_bce_with_logits_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8400442Z   test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8400605Z   test_bce_with_logits_raises_if_target_and_input_are_different_size (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8400713Z   test_bce_with_logits_stability (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8400867Z   test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8400997Z   test_bilinear (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8401119Z   test_bilinear_broadcasting (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8401231Z   test_bilinear_no_bias (__main__.TestNN) ... ok (0.025s)
2022-11-23T01:54:02.8401352Z   test_bilinear_non_contiguous (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8401667Z   test_broadcast_double_backwards_gpu (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:54:02.8401887Z   test_broadcast_no_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.000s)
2022-11-23T01:54:02.8402110Z   test_broadcast_not_requiring_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:54:02.8402260Z   test_buffer_not_persistent (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8402386Z   test_buffer_not_persistent_assign (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8402510Z   test_buffer_not_persistent_del (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8402636Z   test_buffer_not_persistent_load (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8402765Z   test_buffer_not_persistent_overwrite (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8402884Z   test_buffers_and_named_buffers (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8402994Z   test_caching_parametrization (__main__.TestNN)
2022-11-23T01:54:02.8403109Z Test the caching system of a parametrization ... ok (0.002s)
2022-11-23T01:54:02.8403275Z   test_caching_parametrization_with_transfer_parametrizations_and_params (__main__.TestNN)
2022-11-23T01:54:02.8403508Z Test that transferring parametrizations doesn't cause issues with caching ... ok (0.002s)
2022-11-23T01:54:02.8404254Z   test_call_supports_python_dict_output (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1284: UserWarning: Using non-full backward hooks on a Module that does not return a single Tensor or a tuple of Tensors is deprecated and will be removed in future versions. This hook will be missing some of the grad_output. Please use register_full_backward_hook to get the documented behavior.
2022-11-23T01:54:02.8404476Z   warnings.warn("Using non-full backward hooks on a Module that does not return a "
2022-11-23T01:54:02.8404543Z ok (0.001s)
2022-11-23T01:54:02.8404658Z   test_channel_shuffle (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8404786Z   test_channel_shuffle_return_self (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8404887Z   test_children (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8404983Z   test_clip_grad_norm (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8405092Z   test_clip_grad_value (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8405200Z   test_compute_nparams_to_prune (__main__.TestNN)
2022-11-23T01:54:02.8405341Z Test that requested pruning `amount` gets translated into the ... ok (0.001s)
2022-11-23T01:54:02.8405451Z   test_container_copy (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8405599Z   test_convert_sync_batchnorm (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8405734Z   test_cosine_embedding_loss_invalid_shape (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8405870Z   test_cosine_embedding_loss_margin_no_reduce (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8405987Z   test_cosine_embedding_loss_no_reduce (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8406121Z   test_cosine_embedding_loss_with_diff_type (__main__.TestNN) ... ok (0.036s)
2022-11-23T01:54:02.8406234Z   test_cosine_similarity (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8406347Z   test_cross_entropy_loss (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8406478Z   test_cross_entropy_loss_precision (__main__.TestNN) ... ok (5.955s)
2022-11-23T01:54:02.8406604Z   test_cross_entropy_loss_zero_div (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8406857Z   test_cudnn_rnn_dropout_states_device (__main__.TestNN) ... skip: CUDNN or multi-gpu not available (0.001s)
2022-11-23T01:54:02.8407031Z   test_cudnn_weight_format (__main__.TestNN) ... skip: CUDNN not available (0.002s)
2022-11-23T01:54:02.8407162Z   test_cudnn_weight_tying (__main__.TestNN) ... skip: CUDNN not available (0.001s)
2022-11-23T01:54:02.8407266Z   test_custom_from_mask_pruning (__main__.TestNN)
2022-11-23T01:54:02.8407399Z Test that the CustomFromMask is capable of receiving ... ok (0.001s)
2022-11-23T01:54:02.8407520Z   test_deepcopy_after_parametrization (__main__.TestNN)
2022-11-23T01:54:02.8407759Z Test that we are able to create a deepcopy of the module when it's parametrized. ... ok (0.007s)
2022-11-23T01:54:02.8407854Z   test_dir (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8407957Z   test_dir_digit (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8408111Z   test_elu_inplace_gradgrad (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8408226Z   test_elu_inplace_on_view (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8408341Z   test_error_RNN_seq_len_zero (__main__.TestNN) ... ok (0.020s)
2022-11-23T01:54:02.8408493Z   test_errors_parametrized_tensor_parametrization (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8408644Z   test_errors_unparametrized_tensor_parametrization (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8408748Z   test_extra_state (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8408881Z   test_extra_state_missing_get_extra_state (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8409012Z   test_extra_state_missing_set_extra_state (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8409114Z   test_extra_state_non_dict (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8409476Z   test_fb_fc_packed (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:5090: UserWarning: fbgemm_pack_gemm_matrix_fp16 is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:382.)
2022-11-23T01:54:02.8409608Z   packed_w_tensor = torch.fbgemm_pack_gemm_matrix_fp16(w_tensor)
2022-11-23T01:54:02.8409951Z /var/lib/jenkins/workspace/test/test_nn.py:5091: UserWarning: fbgemm_linear_fp16_weight_fp32_activation is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:417.)
2022-11-23T01:54:02.8410108Z   actual_output = torch.fbgemm_linear_fp16_weight(x_tensor, packed_w_tensor, b_tensor)
2022-11-23T01:54:02.8410176Z ok (0.002s)
2022-11-23T01:54:02.8410280Z   test_flatten (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8410392Z   test_fold_invalid_arg (__main__.TestNN) ... ok (0.028s)
2022-11-23T01:54:02.8410510Z   test_gaussian_nll_loss_args (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8410631Z   test_gaussian_nll_loss_broadcasting (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8410734Z   test_get_buffer (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8410861Z   test_get_buffer_from_submodules (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8410999Z   test_getattr_with_property (__main__.TestNN) ... expected failure (0.001s)
2022-11-23T01:54:02.8411092Z   test_global_pruning (__main__.TestNN)
2022-11-23T01:54:02.8411242Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.002s)
2022-11-23T01:54:02.8411358Z   test_global_pruning_importance_scores (__main__.TestNN)
2022-11-23T01:54:02.8411503Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.002s)
2022-11-23T01:54:02.8411597Z   test_grid_sample (__main__.TestNN) ... ok (0.919s)
2022-11-23T01:54:02.8411705Z   test_grid_sample_3d (__main__.TestNN) ... ok (0.080s)
2022-11-23T01:54:02.8412332Z   test_grid_sample_error_checking (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:4231: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.
2022-11-23T01:54:02.8412412Z   warnings.warn(
2022-11-23T01:54:02.8412506Z ok (0.034s)
2022-11-23T01:54:02.8412621Z   test_hardtanh_backward (__main__.TestNN) ... ok (0.113s)
2022-11-23T01:54:02.8412744Z   test_hardtanh_inplace_gradgrad (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8412861Z   test_hook_backward_size (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8413270Z   test_hook_backward_writeable (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:54:02.8413418Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:54:02.8414054Z /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior.
2022-11-23T01:54:02.8414306Z   warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes "
2022-11-23T01:54:02.8414372Z ok (0.002s)
2022-11-23T01:54:02.8414495Z   test_hook_buffer_registration (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8414599Z   test_hook_cpp (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8414710Z   test_hook_extra_input (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8414845Z   test_hook_forward_preforward_writable (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8414939Z   test_hook_inplace (__main__.TestNN) ... ok (0.025s)
2022-11-23T01:54:02.8415055Z   test_hook_invalid_outputs (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8415178Z   test_hook_last_arg_requires_grad (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8415295Z   test_hook_no_requires_grad (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8415409Z   test_hook_non_full_warning (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8415539Z   test_hook_parameter_registration (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8415652Z   test_hook_requires_grad (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8415780Z   test_hook_submodule_registration (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8416546Z   test_hooks (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior.
2022-11-23T01:54:02.8416780Z   warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes "
2022-11-23T01:54:02.8416850Z ok (0.014s)
2022-11-23T01:54:02.8416970Z   test_huber_loss_invalid_delta (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8417066Z   test_identity_pruning (__main__.TestNN)
2022-11-23T01:54:02.8417204Z Test that a mask of 1s does not change forward or backward. ... ok (0.003s)
2022-11-23T01:54:02.8417324Z   test_initialization_parametrization (__main__.TestNN)
2022-11-23T01:54:02.8417473Z Test that it is possible to initialize a parametrization when it ... ok (0.004s)
2022-11-23T01:54:02.8417577Z   test_inplace_thnn (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8417672Z   test_interpolate (__main__.TestNN) ... ok (0.133s)
2022-11-23T01:54:02.8417789Z   test_interpolate_bicubic_2d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8417949Z   test_interpolate_bicubic_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8418081Z   test_interpolate_bicubic_2d_zero_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8418254Z   test_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8418381Z   test_interpolate_bicubic_scale_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8418591Z   test_interpolate_bicubic_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8418733Z   test_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8418902Z   test_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8419040Z   test_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8419198Z   test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8419391Z   test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8419606Z   test_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8419735Z   test_interpolate_bicubic_tuple_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8419879Z   test_interpolate_bicubic_tuple_2d_align_corners (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8420059Z   test_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8420223Z   test_interpolate_bicubic_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8420332Z   test_interpolate_bilinear_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8420489Z   test_interpolate_bilinear_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8420620Z   test_interpolate_bilinear_2d_zero_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8420791Z   test_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8420919Z   test_interpolate_bilinear_scale_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8421084Z   test_interpolate_bilinear_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8421229Z   test_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8421410Z   test_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8421540Z   test_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8421697Z   test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8421892Z   test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8422072Z   test_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8422200Z   test_interpolate_bilinear_tuple_2d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8422342Z   test_interpolate_bilinear_tuple_2d_align_corners (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8422529Z   test_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8422689Z   test_interpolate_bilinear_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8422844Z   test_interpolate_illegal_memory_access (__main__.TestNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:54:02.8422952Z   test_interpolate_linear_1d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8423086Z   test_interpolate_linear_1d_align_corners (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8423254Z   test_interpolate_linear_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8423410Z   test_interpolate_linear_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8423537Z   test_interpolate_linear_1d_zero_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8423732Z   test_interpolate_linear_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8423858Z   test_interpolate_linear_scale_1d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8423996Z   test_interpolate_linear_scale_1d_align_corners (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8424163Z   test_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8424321Z   test_interpolate_linear_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8424447Z   test_interpolate_linear_tuple_1d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8424635Z   test_interpolate_linear_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8424752Z   test_interpolate_nearest_1d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8424906Z   test_interpolate_nearest_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8425034Z   test_interpolate_nearest_1d_zero_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8425202Z   test_interpolate_nearest_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8425318Z   test_interpolate_nearest_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8425462Z   test_interpolate_nearest_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8425598Z   test_interpolate_nearest_2d_launch_configs (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8425771Z   test_interpolate_nearest_2d_launch_configs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8425902Z   test_interpolate_nearest_2d_zero_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8426066Z   test_interpolate_nearest_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8426179Z   test_interpolate_nearest_3d (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8426334Z   test_interpolate_nearest_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8426459Z   test_interpolate_nearest_3d_zero_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8426613Z   test_interpolate_nearest_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8426739Z   test_interpolate_nearest_scale_1d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8426902Z   test_interpolate_nearest_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8427025Z   test_interpolate_nearest_scale_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8427184Z   test_interpolate_nearest_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8427307Z   test_interpolate_nearest_scale_3d (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8427469Z   test_interpolate_nearest_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8427596Z   test_interpolate_nearest_tuple_1d (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8427748Z   test_interpolate_nearest_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8427873Z   test_interpolate_nearest_tuple_2d (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8428030Z   test_interpolate_nearest_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8428153Z   test_interpolate_nearest_tuple_3d (__main__.TestNN) ... ok (0.009s)
2022-11-23T01:54:02.8428312Z   test_interpolate_nearest_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8428438Z   test_interpolate_trilinear_3d (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8428594Z   test_interpolate_trilinear_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8428725Z   test_interpolate_trilinear_3d_zero_dim (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8428916Z   test_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8429034Z   test_interpolate_trilinear_scale_3d (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8429178Z   test_interpolate_trilinear_scale_3d_align_corners (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8429361Z   test_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8429524Z   test_interpolate_trilinear_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8429678Z   test_interpolate_trilinear_tuple_3d (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8429821Z   test_interpolate_trilinear_tuple_3d_align_corners (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8430002Z   test_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8430169Z   test_interpolate_trilinear_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8430278Z   test_kl_div_log_softmax_target (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8430958Z   test_kl_div_with_diff_type (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8431036Z   warnings.warn(
2022-11-23T01:54:02.8431102Z ok (0.002s)
2022-11-23T01:54:02.8431228Z   test_kl_div_with_diff_type_log_target (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8431335Z   test_l1_loss_correct (__main__.TestNN) ... ok (13.359s)
2022-11-23T01:54:02.8431442Z   test_l1_unstructured_pruning (__main__.TestNN)
2022-11-23T01:54:02.8431587Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.003s)
2022-11-23T01:54:02.8431725Z   test_l1_unstructured_pruning_with_importance_scores (__main__.TestNN)
2022-11-23T01:54:02.8431855Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.002s)
2022-11-23T01:54:02.8431989Z   test_layer_norm_grads_with_create_graph_flag (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8432133Z   test_linear_autograd_device_cpu_bias_weightCOO (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8432634Z   test_linear_autograd_device_cpu_bias_weightCSC (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:9899: UserWarning: Sparse CSC tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:54:02.8432771Z   module.weight = nn.Parameter(module.weight.to_sparse_csc())
2022-11-23T01:54:02.8432840Z ok (0.017s)
2022-11-23T01:54:02.8432982Z   test_linear_autograd_device_cpu_bias_weightCSR (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8433131Z   test_linear_autograd_device_cpu_bias_weightStrided (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8433274Z   test_linear_autograd_device_cpu_nobias_weightCOO (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8433403Z   test_linear_autograd_device_cpu_nobias_weightCSC (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8433542Z   test_linear_autograd_device_cpu_nobias_weightCSR (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8433691Z   test_linear_autograd_device_cpu_nobias_weightStrided (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8433810Z   test_linear_broadcasting (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8433917Z   test_ln_structured_pruning (__main__.TestNN)
2022-11-23T01:54:02.8434032Z Check Ln structured pruning by hand. ... ok (0.002s)
2022-11-23T01:54:02.8434189Z   test_ln_structured_pruning_importance_scores (__main__.TestNN)
2022-11-23T01:54:02.8434303Z Check Ln structured pruning by hand. ... ok (0.002s)
2022-11-23T01:54:02.8434400Z   test_load_state_dict (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8434588Z   test_load_state_dict_BC (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8434712Z   test_load_state_dict_child (__main__.TestNN) ... ok (0.101s)
2022-11-23T01:54:02.8434831Z   test_load_state_dict_custom (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8434953Z   test_load_state_dict_invalid (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8435076Z   test_load_state_dict_ref_cycle (__main__.TestNN) ... ok (0.152s)
2022-11-23T01:54:02.8435228Z   test_load_state_dict_type (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8435325Z   test_log_softmax_cpu (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8435437Z   test_log_softmax_dim0 (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8435592Z   test_log_softmax_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8435704Z   test_log_softmax_dim3 (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8435854Z   test_log_softmax_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8435973Z   test_log_softmax_lastdim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8436128Z   test_log_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8436244Z   test_log_softmax_scalar (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8436384Z   test_log_softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8436504Z   test_log_softmax_spatial (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8436659Z   test_log_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8436786Z   test_log_softmax_spatial_special (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8436954Z   test_log_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8437327Z   test_loss_equal_input_target_shape (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:6136: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8437479Z   'mse_loss': lambda x, y: F.mse_loss(x, y),
2022-11-23T01:54:02.8437800Z /var/lib/jenkins/workspace/test/test_nn.py:6137: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8437942Z   'l1_loss': lambda x, y: F.l1_loss(x, y),
2022-11-23T01:54:02.8438265Z /var/lib/jenkins/workspace/test/test_nn.py:6138: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8438429Z   'smooth_l1_loss': lambda x, y: F.smooth_l1_loss(x, y),
2022-11-23T01:54:02.8438725Z /var/lib/jenkins/workspace/test/test_nn.py:6139: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8438877Z   'huber_loss': lambda x, y: F.huber_loss(x, y),
2022-11-23T01:54:02.8439489Z /opt/conda/lib/python3.10/site-packages/torch/nn/functional.py:2920: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:54:02.8439571Z   warnings.warn(
2022-11-23T01:54:02.8439673Z ok (0.024s)
2022-11-23T01:54:02.8439811Z   test_margin_ranking_loss_margin_no_reduce (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8439941Z   test_margin_ranking_loss_no_reduce (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8440064Z   test_module_apply_inplace_op (__main__.TestNN) ... ok (0.012s)
2022-11-23T01:54:02.8440179Z   test_module_backcompat (__main__.TestNN) ... ok (0.025s)
2022-11-23T01:54:02.8440281Z   test_module_to_argparse (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8440382Z   test_modules (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8440502Z   test_mse_loss_size_warning (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8440680Z   test_multihead_attention_average_attn_weights_False (__main__.TestNN) ... ok (2.253s)
2022-11-23T01:54:02.8440827Z   test_multihead_attention_average_attn_weights_True (__main__.TestNN) ... ok (2.239s)
2022-11-23T01:54:02.8440951Z   test_multihead_attn_3d_attn_mask (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8441093Z   test_multihead_attn_fast_path_invalid_shape (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8441210Z   test_multihead_attn_invalid_shape (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8441597Z   test_multihead_attn_nested_tensor_outside_fast_path (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:5598: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:54:02.8441720Z   nt = torch.nested.nested_tensor([torch.randn(4, 4)])
2022-11-23T01:54:02.8441788Z ok (0.003s)
2022-11-23T01:54:02.8441912Z   test_multihead_attn_no_bias (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8442058Z   test_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8442243Z   test_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8442379Z   test_multiple_inputs_parametrization (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8442498Z   test_multiple_pruning_calls (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8442595Z   test_named_children (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8442700Z   test_named_modules (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8442833Z   test_named_parameters_remove_duplicate (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8442951Z   test_nested_tensor_from_mask (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8443074Z   test_nested_tensor_from_mask_error (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8443186Z   test_new_spectral_norm (__main__.TestNN) ... ok (0.041s)
2022-11-23T01:54:02.8443302Z   test_new_spectral_norm_dim (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8443422Z   test_new_spectral_norm_forward (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8443541Z   test_new_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8443639Z   test_no_grad (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8443757Z   test_non_leaf_parameters (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8443857Z   test_normalize (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8443968Z   test_orthogonal_errors (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8444094Z   test_orthogonal_parametrization (__main__.TestNN) ... ok (0.198s)
2022-11-23T01:54:02.8444229Z   test_overwrite_module_params_on_conversion (__main__.TestNN) ... ok (0.015s)
2022-11-23T01:54:02.8444373Z   test_pack_sequence_batch_sizes_throw (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8444485Z   test_pad_scalar_error (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8444592Z   test_padding_list (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8444709Z   test_pairwise_distance (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8444854Z   test_parameter_assignment (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8444979Z   test_parameterlistdict_pickle (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8445120Z   test_parameterlistdict_setting_attributes (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8445251Z   test_parameters_and_named_parameters (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8445355Z   test_parameters_to_vector (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8445476Z   test_parametrization_same_training_mode (__main__.TestNN)
2022-11-23T01:54:02.8445619Z Test training mode updated on parametrization registration ... ok (0.001s)
2022-11-23T01:54:02.8445721Z   test_parse_to (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8445906Z   test_partial_flat_weights (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8446005Z   test_pdist (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8446157Z   test_pdist_cpu_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.008s)
2022-11-23T01:54:02.8446313Z   test_pdist_cuda_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.009s)
2022-11-23T01:54:02.8446414Z   test_pdist_empty_col (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8446523Z   test_pdist_empty_row (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8446629Z   test_pdist_large (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8446718Z   test_pdist_zeros (__main__.TestNN)
2022-11-23T01:54:02.8446838Z Test that grad is still valid when dist is 0 ... ok (0.008s)
2022-11-23T01:54:02.8446955Z   test_pixel_shuffle_nhwc_cpu (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8447077Z   test_pixel_shuffle_unshuffle (__main__.TestNN) ... ok (0.478s)
2022-11-23T01:54:02.8447441Z   test_pointwise_loss_broadcast (__main__.TestNN) ... /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8447602Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T01:54:02.8447917Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8448082Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T01:54:02.8448395Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8448560Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T01:54:02.8448872Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8449035Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T01:54:02.8449344Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8449505Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T01:54:02.8449818Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8449984Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T01:54:02.8450325Z /var/lib/jenkins/workspace/test/test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8450477Z   'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r),
2022-11-23T01:54:02.8450787Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8450977Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8451286Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8451450Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8451755Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8451917Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8452222Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8452383Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8452690Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8452851Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8453157Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8453302Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8453608Z /var/lib/jenkins/workspace/test/test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8453769Z   'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8454076Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8454260Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8454567Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8454754Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8455089Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8455272Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8455576Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8455758Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8456067Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8456265Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8456700Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8456885Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8457190Z /var/lib/jenkins/workspace/test/test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8457373Z   'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r),
2022-11-23T01:54:02.8457687Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8457864Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T01:54:02.8458165Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8458334Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T01:54:02.8458641Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8458815Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T01:54:02.8459121Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8459292Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T01:54:02.8459583Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8459752Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T01:54:02.8460052Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8460223Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T01:54:02.8460577Z /var/lib/jenkins/workspace/test/test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.
2022-11-23T01:54:02.8460747Z   'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r),
2022-11-23T01:54:02.8460814Z ok (0.039s)
2022-11-23T01:54:02.8460960Z   test_pointwise_loss_target_grad_none_reduction (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8461092Z   test_poisson_nll_loss_reduction_modes (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8461212Z   test_projections_errors_on_gru_and_rnn (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8461377Z   test_projections_lstm_args_check (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8461618Z   test_projections_lstm_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:54:02.8461754Z   test_projections_lstm_initial_hidden_state (__main__.TestNN) ... ok (0.021s)
2022-11-23T01:54:02.8461856Z   test_prune (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8461976Z   test_prune_importance_scores (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8462112Z   test_prune_importance_scores_mimic_default (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8462226Z   test_pruning_container (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8462330Z   test_pruning_container_compute_mask (__main__.TestNN)
2022-11-23T01:54:02.8462473Z Test `compute_mask` of pruning container with a known `t` and ... ok (0.002s)
2022-11-23T01:54:02.8462577Z   test_pruning_id_consistency (__main__.TestNN)
2022-11-23T01:54:02.8462796Z Test that pruning doesn't change the id of the parameters, which ... ok (0.001s)
2022-11-23T01:54:02.8462893Z   test_pruning_rollback (__main__.TestNN)
2022-11-23T01:54:02.8463034Z Test that if something fails when the we try to compute the mask, ... ok (0.003s)
2022-11-23T01:54:02.8463161Z   test_pruning_serialization_model (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8463295Z   test_pruning_serialization_state_dict (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8463394Z   test_random_pruning (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8463498Z   test_random_pruning_0perc (__main__.TestNN)
2022-11-23T01:54:02.8463631Z Test that a mask of 1s does not change forward or backward. ... ok (0.003s)
2022-11-23T01:54:02.8463735Z   test_random_pruning_forward (__main__.TestNN)
2022-11-23T01:54:02.8463841Z check forward with mask (by hand). ... ok (0.002s)
2022-11-23T01:54:02.8463947Z   test_random_pruning_new_weight (__main__.TestNN)
2022-11-23T01:54:02.8464079Z Test that module.name now contains a pruned version of ... ok (0.002s)
2022-11-23T01:54:02.8464172Z   test_random_pruning_orig (__main__.TestNN)
2022-11-23T01:54:02.8464363Z Test that original tensor is correctly stored in 'orig' ... ok (0.002s)
2022-11-23T01:54:02.8464481Z   test_random_pruning_pickle (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8464584Z   test_random_pruning_sizes (__main__.TestNN)
2022-11-23T01:54:02.8464730Z Test that the new parameters and buffers created by the pruning ... ok (0.002s)
2022-11-23T01:54:02.8464862Z   test_random_structured_pruning_amount (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8464993Z   test_register_and_remove_buffer_parametrization (__main__.TestNN)
2022-11-23T01:54:02.8465148Z Test that it is possible to add and remove parametrizations on buffers ... ok (0.003s)
2022-11-23T01:54:02.8465268Z   test_register_and_remove_nested_parametrization (__main__.TestNN)
2022-11-23T01:54:02.8465400Z Test that it is possible to nest the parametrizations ... ok (0.003s)
2022-11-23T01:54:02.8465524Z   test_register_and_remove_parametrization (__main__.TestNN)
2022-11-23T01:54:02.8465658Z Test that it is possible to add a few parametrizations ... ok (0.019s)
2022-11-23T01:54:02.8465807Z   test_register_buffer_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8465976Z   test_register_buffer_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8466126Z   test_register_buffer_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8466266Z   test_register_buffer_raises_error_if_not_tensor (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8466409Z   test_register_parameter_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8466555Z   test_register_parameter_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8466707Z   test_register_parameter_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8466857Z   test_relu_inplace_on_view (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8466949Z   test_remove_pruning (__main__.TestNN)
2022-11-23T01:54:02.8467092Z `prune.remove` removes the hook and the reparametrization ... ok (0.003s)
2022-11-23T01:54:02.8467200Z   test_remove_pruning_exception (__main__.TestNN)
2022-11-23T01:54:02.8467339Z Removing from an unpruned tensor throws an assertion error ... ok (0.001s)
2022-11-23T01:54:02.8467432Z   test_remove_pruning_forward (__main__.TestNN)
2022-11-23T01:54:02.8467571Z Remove pruning and check forward is unchanged from previous ... ok (0.002s)
2022-11-23T01:54:02.8467668Z   test_repr (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8467775Z   test_requires_grad_ (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8467879Z   test_rnn_args_check (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8468099Z   test_rnn_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:54:02.8468217Z   test_rnn_initial_hidden_state (__main__.TestNN) ... ok (0.016s)
2022-11-23T01:54:02.8468325Z   test_rnn_pruning (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8468423Z   test_rnn_weight_norm (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8468540Z   test_serialization_parametrization (__main__.TestNN)
2022-11-23T01:54:02.8468696Z Test that it is possible to serialize a parametrized model via state_dict ... ok (0.006s)
2022-11-23T01:54:02.8469246Z   test_share_memory (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:54:02.8469345Z   warnings.warn(message, UserWarning)
2022-11-23T01:54:02.8469413Z ok (0.002s)
2022-11-23T01:54:02.8469540Z   test_smoothl1loss_intergral_target (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8469681Z   test_smoothl1loss_negative_beta_not_supported (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8469776Z   test_softmax_cpu (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8469898Z   test_softmax_functional_dim0 (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8470056Z   test_softmax_functional_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8470178Z   test_softmax_functional_dim3 (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8470335Z   test_softmax_functional_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8470457Z   test_softmax_functional_scalar (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8470619Z   test_softmax_functional_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8470730Z   test_softmax_lastdim (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8470865Z   test_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8470984Z   test_softmax_lastdim_dtype (__main__.TestNN) ... ok (0.007s)
2022-11-23T01:54:02.8471144Z   test_softmax_lastdim_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8471254Z   test_softmax_spatial (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8471431Z   test_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8471551Z   test_softmax_spatial_dtype (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8471707Z   test_softmax_spatial_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8471826Z   test_softmax_spatial_special (__main__.TestNN) ... ok (0.008s)
2022-11-23T01:54:02.8471972Z   test_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s)
2022-11-23T01:54:02.8472073Z   test_softmin (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8472619Z   test_spectral_norm (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:54:02.8472748Z   warnings.warn(message, UserWarning)
2022-11-23T01:54:02.8472816Z ok (0.026s)
2022-11-23T01:54:02.8472938Z   test_spectral_norm_dim (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8473058Z   test_spectral_norm_forward (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8473184Z   test_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8473289Z   test_spectral_norm_pickle (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8473392Z   test_state_dict (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8473544Z   test_sync_batchnorm_accuracy_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8473697Z   test_sync_batchnorm_backward_elemt (__main__.TestNN) ... skip: CUDA not available (0.001s)
2022-11-23T01:54:02.8473817Z   test_threshold_bfloat16 (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8473928Z   test_threshold_int (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8474022Z   test_to (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8474147Z   test_train_errors_for_invalid_mode (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8474263Z   test_transfer_parametrizations_and_params (__main__.TestNN)
2022-11-23T01:54:02.8474438Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.004s)
2022-11-23T01:54:02.8474662Z   test_transfer_parametrizations_and_params_many_to_one (__main__.TestNN) ... ok (0.005s)
2022-11-23T01:54:02.8474806Z   test_transfer_parametrizations_and_params_right_inverse (__main__.TestNN)
2022-11-23T01:54:02.8474975Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.002s)
2022-11-23T01:54:02.8475116Z   test_transfer_parametrizations_and_params_single_param (__main__.TestNN)
2022-11-23T01:54:02.8475285Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.003s)
2022-11-23T01:54:02.8475404Z   test_transformer_args_check (__main__.TestNN) ... ok (0.176s)
2022-11-23T01:54:02.8475520Z   test_transformer_layer_args_check (__main__.TestNN) ... ok (0.011s)
2022-11-23T01:54:02.8475642Z   test_transformerdecoder (__main__.TestNN) ... ok (0.096s)
2022-11-23T01:54:02.8475773Z   test_transformerdecoderlayer (__main__.TestNN) ... ok (0.025s)
2022-11-23T01:54:02.8475908Z   test_transformerdecoderlayer_gelu (__main__.TestNN) ... ok (0.030s)
2022-11-23T01:54:02.8476023Z   test_triplet_margin_loss (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8476149Z   test_triplet_margin_loss_no_reduce (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8476269Z   test_triplet_margin_loss_swap (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8476400Z   test_triplet_margin_loss_swap_no_reduce (__main__.TestNN) ... ok (0.004s)
2022-11-23T01:54:02.8476484Z   test_type (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8476602Z   test_type_before_parametrizations (__main__.TestNN)
2022-11-23T01:54:02.8476758Z Test that type_before_parametrizations always retrieves original type ... ok (0.001s)
2022-11-23T01:54:02.8477477Z   test_unflatten (__main__.TestNN) ... /opt/conda/lib/python3.10/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.)
2022-11-23T01:54:02.8477590Z   return super(Tensor, self).refine_names(names)
2022-11-23T01:54:02.8477657Z ok (0.002s)
2022-11-23T01:54:02.8477774Z   test_unflatten_invalid_arg (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8477889Z   test_unfold_invalid_arg (__main__.TestNN) ... ok (0.014s)
2022-11-23T01:54:02.8478001Z   test_unstructured_pruning_same_magnitude (__main__.TestNN)
2022-11-23T01:54:02.8478176Z Since it may happen that the tensor to prune has entries with the ... ok (0.001s)
2022-11-23T01:54:02.8478328Z   test_upsamplingBilinear2d_spatial_invariance (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8478452Z   test_upsamplingLinear1d (__main__.TestNN) ... ok (0.017s)
2022-11-23T01:54:02.8478600Z   test_upsamplingLinear1d_spatial_invariance (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8478727Z   test_upsamplingTrilinear3d (__main__.TestNN) ... ok (0.044s)
2022-11-23T01:54:02.8478877Z   test_upsamplingTrilinear3d_spatial_invariance (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8478998Z   test_upsampling_bfloat16 (__main__.TestNN) ... ok (0.019s)
2022-11-23T01:54:02.8479126Z   test_upsampling_not_recompute_scale_factor (__main__.TestNN) ... ok (0.010s)
2022-11-23T01:54:02.8479246Z   test_upsampling_small_scale (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8479355Z   test_validate_pruning_amount (__main__.TestNN)
2022-11-23T01:54:02.8479495Z Tests the second util function that validates the pruning ... ok (0.001s)
2022-11-23T01:54:02.8479611Z   test_validate_pruning_amount_init (__main__.TestNN)
2022-11-23T01:54:02.8479746Z Test the first util function that validates the pruning ... ok (0.001s)
2022-11-23T01:54:02.8479866Z   test_vector_to_parameters (__main__.TestNN) ... ok (0.001s)
2022-11-23T01:54:02.8479977Z   test_weight_norm (__main__.TestNN) ... ok (0.006s)
2022-11-23T01:54:02.8480080Z   test_weight_norm_pickle (__main__.TestNN) ... ok (0.002s)
2022-11-23T01:54:02.8480184Z   test_zero_grad (__main__.TestNN) ... ok (0.003s)
2022-11-23T01:54:02.8480316Z   test_calculate_gain_leaky_relu (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8480472Z   test_calculate_gain_leaky_relu_only_accepts_numbers (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8480599Z   test_calculate_gain_linear (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8480728Z   test_calculate_gain_nonlinear (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8480887Z   test_calculate_gain_only_accepts_valid_nonlinearities (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8480998Z   test_constant (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8481101Z   test_deprecation (__main__.TestNNInit) ... ok (0.004s)
2022-11-23T01:54:02.8481220Z   test_dirac_identity (__main__.TestNNInit) ... ok (0.006s)
2022-11-23T01:54:02.8481358Z   test_dirac_only_works_on_3_4_5d_inputs (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8481479Z   test_dirac_properties (__main__.TestNNInit) ... ok (0.002s)
2022-11-23T01:54:02.8481581Z   test_eye (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8481711Z   test_eye_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8481828Z   test_kaiming_normal (__main__.TestNNInit) ... ok (0.224s)
2022-11-23T01:54:02.8481967Z   test_kaiming_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8482115Z   test_kaiming_normal_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.004s)
2022-11-23T01:54:02.8482236Z   test_kaiming_uniform (__main__.TestNNInit) ... ok (0.178s)
2022-11-23T01:54:02.8482390Z   test_kaiming_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8482535Z   test_kaiming_uniform_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.004s)
2022-11-23T01:54:02.8482673Z   test_normal (__main__.TestNNInit) ... ok (0.973s)
2022-11-23T01:54:02.8482791Z   test_ones_and_zeros (__main__.TestNNInit) ... ok (0.002s)
2022-11-23T01:54:02.8482904Z   test_orthogonal (__main__.TestNNInit) ... ok (0.007s)
2022-11-23T01:54:02.8483012Z   test_sparse_default_std (__main__.TestNNInit) ... ok (0.006s)
2022-11-23T01:54:02.8483144Z   test_sparse_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8483328Z   test_trunc_normal (__main__.TestNNInit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:54:02.8483438Z   test_uniform (__main__.TestNNInit) ... ok (0.818s)
2022-11-23T01:54:02.8483596Z   test_xavier_normal (__main__.TestNNInit) ... ok (0.410s)
2022-11-23T01:54:02.8483746Z   test_xavier_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8483863Z   test_xavier_uniform (__main__.TestNNInit) ... ok (0.074s)
2022-11-23T01:54:02.8484015Z   test_xavier_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s)
2022-11-23T01:54:02.8484153Z   test_load_state_dict_module_pre_hook (__main__.TestStateDictHooks) ... ok (0.002s)
2022-11-23T01:54:02.8484297Z   test_load_state_dict_post_hook (__main__.TestStateDictHooks) ... ok (0.002s)
2022-11-23T01:54:02.8484468Z   test_load_state_dict_post_hook_backward_compatibility (__main__.TestStateDictHooks) ... ok (0.002s)
2022-11-23T01:54:02.8484608Z   test_load_state_dict_pre_hook (__main__.TestStateDictHooks) ... ok (0.002s)
2022-11-23T01:54:02.8484746Z   test_no_extra_ref_to_module (__main__.TestStateDictHooks) ... ok (0.001s)
2022-11-23T01:54:02.8484876Z   test_pickled_hook (__main__.TestStateDictHooks) ... ok (0.001s)
2022-11-23T01:54:02.8484887Z 
2022-11-23T01:54:02.8485093Z ----------------------------------------------------------------------
2022-11-23T01:54:02.8485173Z Ran 2189 tests in 41.467s
2022-11-23T01:54:02.8485179Z 
2022-11-23T01:54:02.8485278Z OK (skipped=1112, expected failures=3)
2022-11-23T01:54:02.8485285Z 
2022-11-23T01:54:02.8485357Z Generating XML reports...
2022-11-23T01:54:02.8485620Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestAddRelu-20221123015320.xml
2022-11-23T01:54:02.8485901Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestConstantPadNd-20221123015320.xml
2022-11-23T01:54:02.8486190Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFunctionalPickle-20221123015320.xml
2022-11-23T01:54:02.8486451Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionEval-20221123015320.xml
2022-11-23T01:54:02.8486717Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionUtils-20221123015320.xml
2022-11-23T01:54:02.8487004Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestModuleGlobalHooks-20221123015320.xml
2022-11-23T01:54:02.8487241Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNN-20221123015320.xml
2022-11-23T01:54:02.8487483Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNInit-20221123015320.xml
2022-11-23T01:54:02.8487757Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestStateDictHooks-20221123015320.xml
2022-11-23T01:54:02.8487763Z 
2022-11-23T01:54:02.8488171Z ##[endgroup]
2022-11-23T01:54:02.8488423Z FINISHED PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_b8_5peml)
2022-11-23T01:54:02.8488428Z 
2022-11-23T01:54:02.8488578Z Running test_ops ... [2022-11-23 01:54:02.789838]
2022-11-23T01:54:04.3771010Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:54:04.3876411Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:54:04.4512168Z Ignoring disabled issues:  []
2022-11-23T01:54:04.4558081Z Ignoring disabled issues:  []
2022-11-23T01:54:04.6209202Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:04.620419]
2022-11-23T01:54:04.6210117Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:04.620552]
2022-11-23T01:54:07.8034708Z 
2022-11-23T01:54:07.8035230Z Expand the folded group to see the log file of test_ops
2022-11-23T01:54:07.8036134Z ##[group]PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_22q6seeq)
2022-11-23T01:54:07.8037040Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-3f9fd20d87b685b3.xml
2022-11-23T01:54:07.8037820Z ============================= test session starts ==============================
2022-11-23T01:54:07.8038421Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:07.8038687Z cachedir: .pytest_cache
2022-11-23T01:54:07.8039113Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:07.8039459Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:07.8039887Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:07.8040187Z collecting ... collected 0 items
2022-11-23T01:54:07.8040382Z Running 0 items in this shard: 
2022-11-23T01:54:07.8040510Z 
2022-11-23T01:54:07.8040625Z =============================== warnings summary ===============================
2022-11-23T01:54:07.8040981Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:07.8041509Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:07.8041856Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:07.8041996Z 
2022-11-23T01:54:07.8042226Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:07.8042706Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-3f9fd20d87b685b3.xml -
2022-11-23T01:54:07.8043038Z ============================== 1 warning in 0.15s ==============================
2022-11-23T01:54:07.8043329Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:07.8043523Z 
2022-11-23T01:54:07.8043791Z ##[endgroup]
2022-11-23T01:54:07.8044151Z FINISHED PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_22q6seeq)
2022-11-23T01:54:07.8044342Z 
2022-11-23T01:54:07.8044361Z 
2022-11-23T01:54:07.8044485Z Expand the folded group to see the log file of test_ops
2022-11-23T01:54:07.8044947Z ##[group]PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_r1emdq53)
2022-11-23T01:54:07.8045397Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-94ac00eae24ffe79.xml
2022-11-23T01:54:07.8045710Z ============================= test session starts ==============================
2022-11-23T01:54:07.8046057Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:07.8046313Z cachedir: .pytest_cache
2022-11-23T01:54:07.8046723Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:07.8047056Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:07.8047475Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:07.8047769Z collecting ... collected 0 items
2022-11-23T01:54:07.8047966Z Running 0 items in this shard: 
2022-11-23T01:54:07.8048086Z 
2022-11-23T01:54:07.8048196Z =============================== warnings summary ===============================
2022-11-23T01:54:07.8048628Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:07.8049149Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:07.8049489Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:07.8049621Z 
2022-11-23T01:54:07.8049841Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:07.8050319Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-94ac00eae24ffe79.xml -
2022-11-23T01:54:07.8050692Z ============================== 1 warning in 0.15s ==============================
2022-11-23T01:54:07.8050982Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:07.8051177Z 
2022-11-23T01:54:07.8051381Z ##[endgroup]
2022-11-23T01:54:07.8051738Z FINISHED PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops_r1emdq53)
2022-11-23T01:54:07.8051926Z 
2022-11-23T01:54:08.1534808Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:08.152988]
2022-11-23T01:54:11.1276502Z 
2022-11-23T01:54:11.1276926Z Expand the folded group to see the log file of test_ops
2022-11-23T01:54:11.1277988Z ##[group]PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops__d2bdclh)
2022-11-23T01:54:11.1278796Z Test results will be stored in test-reports/python-pytest/test_ops/test_ops-b656e336ba02bfb3.xml
2022-11-23T01:54:11.1279119Z ============================= test session starts ==============================
2022-11-23T01:54:11.1279490Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:11.1279796Z cachedir: .pytest_cache
2022-11-23T01:54:11.1280225Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:11.1280623Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:11.1281049Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:11.1281394Z collecting ... collected 0 items
2022-11-23T01:54:11.1281589Z Running 0 items in this shard: 
2022-11-23T01:54:11.1281712Z 
2022-11-23T01:54:11.1281826Z =============================== warnings summary ===============================
2022-11-23T01:54:11.1282229Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:11.1282805Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:11.1283159Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:11.1283294Z 
2022-11-23T01:54:11.1283568Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:11.1284048Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-b656e336ba02bfb3.xml -
2022-11-23T01:54:11.1284431Z ============================== 1 warning in 0.02s ==============================
2022-11-23T01:54:11.1284718Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:11.1284911Z 
2022-11-23T01:54:11.1285189Z ##[endgroup]
2022-11-23T01:54:11.1285546Z FINISHED PRINTING LOG FILE of test_ops (/var/lib/jenkins/workspace/test/test-reports/test_ops__d2bdclh)
2022-11-23T01:54:11.1285756Z 
2022-11-23T01:54:11.1297478Z Running test_ops_fwd_gradients ... [2022-11-23 01:54:11.128684]
2022-11-23T01:54:12.7085929Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:54:12.7472599Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:54:12.7887488Z Ignoring disabled issues:  []
2022-11-23T01:54:12.8077658Z Ignoring disabled issues:  []
2022-11-23T01:54:12.8091844Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:12.808898]
2022-11-23T01:54:12.8281082Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:12.827699]
2022-11-23T01:54:15.6200533Z 
2022-11-23T01:54:15.6201053Z Expand the folded group to see the log file of test_ops_fwd_gradients
2022-11-23T01:54:15.6202089Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_y6yhjkmc)
2022-11-23T01:54:15.6203162Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-d1c55286bd6d6856.xml
2022-11-23T01:54:15.6203711Z ============================= test session starts ==============================
2022-11-23T01:54:15.6204301Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:15.6204693Z cachedir: .pytest_cache
2022-11-23T01:54:15.6205368Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:15.6205938Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:15.6206606Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:15.6207042Z collecting ... collected 0 items
2022-11-23T01:54:15.6207361Z Running 0 items in this shard: 
2022-11-23T01:54:15.6207547Z 
2022-11-23T01:54:15.6207720Z =============================== warnings summary ===============================
2022-11-23T01:54:15.6208240Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:15.6209133Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:15.6209740Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:15.6209959Z 
2022-11-23T01:54:15.6210341Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:15.6211227Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-d1c55286bd6d6856.xml -
2022-11-23T01:54:15.6211828Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:15.6212313Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:15.6212629Z 
2022-11-23T01:54:15.6213023Z ##[endgroup]
2022-11-23T01:54:15.6213700Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_y6yhjkmc)
2022-11-23T01:54:15.6214083Z 
2022-11-23T01:54:15.6436185Z 
2022-11-23T01:54:15.6436683Z Expand the folded group to see the log file of test_ops_fwd_gradients
2022-11-23T01:54:15.6437597Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_9s5fqw98)
2022-11-23T01:54:15.6438569Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-075c9ca9ede98515.xml
2022-11-23T01:54:15.6439108Z ============================= test session starts ==============================
2022-11-23T01:54:15.6439492Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:15.6439810Z cachedir: .pytest_cache
2022-11-23T01:54:15.6440673Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:15.6441045Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:15.6441481Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:15.6441767Z collecting ... collected 0 items
2022-11-23T01:54:15.6441979Z Running 0 items in this shard: 
2022-11-23T01:54:15.6442104Z 
2022-11-23T01:54:15.6442219Z =============================== warnings summary ===============================
2022-11-23T01:54:15.6442571Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:15.6443153Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:15.6443508Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:15.6443638Z 
2022-11-23T01:54:15.6443869Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:15.6444400Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-075c9ca9ede98515.xml -
2022-11-23T01:54:15.6444753Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:15.6445058Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:15.6445252Z 
2022-11-23T01:54:15.6445519Z ##[endgroup]
2022-11-23T01:54:15.6445911Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_9s5fqw98)
2022-11-23T01:54:15.6446144Z 
2022-11-23T01:54:15.9888988Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:15.988427]
2022-11-23T01:54:18.6803358Z 
2022-11-23T01:54:18.6803954Z Expand the folded group to see the log file of test_ops_fwd_gradients
2022-11-23T01:54:18.6805156Z ##[group]PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_g9_3fmwy)
2022-11-23T01:54:18.6805832Z Test results will be stored in test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-f86589494202a83f.xml
2022-11-23T01:54:18.6806178Z ============================= test session starts ==============================
2022-11-23T01:54:18.6806541Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:18.6806793Z cachedir: .pytest_cache
2022-11-23T01:54:18.6807211Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:18.6807601Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:18.6808076Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:18.6808399Z collecting ... collected 0 items
2022-11-23T01:54:18.6808609Z Running 0 items in this shard: 
2022-11-23T01:54:18.6808733Z 
2022-11-23T01:54:18.6808845Z =============================== warnings summary ===============================
2022-11-23T01:54:18.6809183Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:18.6809754Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:18.6810165Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:18.6810301Z 
2022-11-23T01:54:18.6810533Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:18.6811105Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-f86589494202a83f.xml -
2022-11-23T01:54:18.6811670Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:18.6811980Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:18.6812176Z 
2022-11-23T01:54:18.6812454Z ##[endgroup]
2022-11-23T01:54:18.6812861Z FINISHED PRINTING LOG FILE of test_ops_fwd_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_fwd_gradients_g9_3fmwy)
2022-11-23T01:54:18.6813128Z 
2022-11-23T01:54:18.6813312Z Running test_ops_gradients ... [2022-11-23 01:54:18.680719]
2022-11-23T01:54:20.2539577Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:54:20.2684467Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:54:20.3278343Z Ignoring disabled issues:  []
2022-11-23T01:54:20.3307420Z Ignoring disabled issues:  []
2022-11-23T01:54:20.3485039Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:20.348153]
2022-11-23T01:54:20.3514601Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:20.351145]
2022-11-23T01:54:23.1214679Z 
2022-11-23T01:54:23.1215182Z Expand the folded group to see the log file of test_ops_gradients
2022-11-23T01:54:23.1216290Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_2a5fudny)
2022-11-23T01:54:23.1217562Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-7ff5ee15a06e8ee1.xml
2022-11-23T01:54:23.1218174Z ============================= test session starts ==============================
2022-11-23T01:54:23.1218629Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:23.1218927Z cachedir: .pytest_cache
2022-11-23T01:54:23.1219362Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:23.1219756Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:23.1220184Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:23.1220526Z collecting ... collected 0 items
2022-11-23T01:54:23.1220738Z Running 0 items in this shard: 
2022-11-23T01:54:23.1220853Z 
2022-11-23T01:54:23.1220967Z =============================== warnings summary ===============================
2022-11-23T01:54:23.1221370Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:23.1221910Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:23.1222279Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:23.1222411Z 
2022-11-23T01:54:23.1222650Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:23.1223205Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-7ff5ee15a06e8ee1.xml -
2022-11-23T01:54:23.1223611Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:23.1223900Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:23.1224096Z 
2022-11-23T01:54:23.1224399Z ##[endgroup]
2022-11-23T01:54:23.1224793Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_2a5fudny)
2022-11-23T01:54:23.1225071Z 
2022-11-23T01:54:23.1271902Z 
2022-11-23T01:54:23.1272508Z Expand the folded group to see the log file of test_ops_gradients
2022-11-23T01:54:23.1273270Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_lw9x6645)
2022-11-23T01:54:23.1274062Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-6a0d44a4a481b1d6.xml
2022-11-23T01:54:23.1274567Z ============================= test session starts ==============================
2022-11-23T01:54:23.1275042Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:23.1275381Z cachedir: .pytest_cache
2022-11-23T01:54:23.1275938Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:23.1276518Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:23.1277065Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:23.1277453Z collecting ... collected 0 items
2022-11-23T01:54:23.1277727Z Running 0 items in this shard: 
2022-11-23T01:54:23.1277889Z 
2022-11-23T01:54:23.1278022Z =============================== warnings summary ===============================
2022-11-23T01:54:23.1278484Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:23.1279183Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:23.1279647Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:23.1279805Z 
2022-11-23T01:54:23.1280106Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:23.1280791Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-6a0d44a4a481b1d6.xml -
2022-11-23T01:54:23.1281250Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:23.1281651Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:23.1281892Z 
2022-11-23T01:54:23.1282204Z ##[endgroup]
2022-11-23T01:54:23.1282733Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_lw9x6645)
2022-11-23T01:54:23.1283022Z 
2022-11-23T01:54:23.4741645Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:23.473782]
2022-11-23T01:54:26.2450159Z 
2022-11-23T01:54:26.2450738Z Expand the folded group to see the log file of test_ops_gradients
2022-11-23T01:54:26.2451781Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_ktqh6j59)
2022-11-23T01:54:26.2452625Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-f3f29d64359499fe.xml
2022-11-23T01:54:26.2453040Z ============================= test session starts ==============================
2022-11-23T01:54:26.2453412Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:26.2453655Z cachedir: .pytest_cache
2022-11-23T01:54:26.2454072Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:26.2454426Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:26.2454850Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:26.2455137Z collecting ... collected 0 items
2022-11-23T01:54:26.2455352Z Running 0 items in this shard: 
2022-11-23T01:54:26.2455520Z 
2022-11-23T01:54:26.2455661Z =============================== warnings summary ===============================
2022-11-23T01:54:26.2456200Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:26.2456939Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:26.2457424Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:26.2457571Z 
2022-11-23T01:54:26.2457944Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:26.2458506Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-f3f29d64359499fe.xml -
2022-11-23T01:54:26.2458994Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:26.2459301Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:26.2459496Z 
2022-11-23T01:54:26.2459784Z ##[endgroup]
2022-11-23T01:54:26.2460191Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_ktqh6j59)
2022-11-23T01:54:26.2460415Z 
2022-11-23T01:54:26.2460629Z Running test_ops_jit ... [2022-11-23 01:54:26.245492]
2022-11-23T01:54:27.8603604Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:54:27.8733977Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:54:27.9342305Z Ignoring disabled issues:  []
2022-11-23T01:54:27.9448006Z Ignoring disabled issues:  []
2022-11-23T01:54:27.9549808Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:27.954698]
2022-11-23T01:54:27.9653833Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:27.964952]
2022-11-23T01:54:30.8777645Z 
2022-11-23T01:54:30.8778152Z Expand the folded group to see the log file of test_ops_jit
2022-11-23T01:54:30.8779096Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_h19ldyrf)
2022-11-23T01:54:30.8780143Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-a029d757587ec413.xml
2022-11-23T01:54:30.8780720Z ============================= test session starts ==============================
2022-11-23T01:54:30.8781342Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:30.8781823Z cachedir: .pytest_cache
2022-11-23T01:54:30.8782579Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:30.8783236Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:30.8783785Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:30.8784068Z collecting ... collected 0 items
2022-11-23T01:54:30.8784277Z Running 0 items in this shard: 
2022-11-23T01:54:30.8784401Z 
2022-11-23T01:54:30.8784514Z =============================== warnings summary ===============================
2022-11-23T01:54:30.8784862Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:30.8785372Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:30.8785731Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:30.8785862Z 
2022-11-23T01:54:30.8786088Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:30.8786564Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-a029d757587ec413.xml -
2022-11-23T01:54:30.8787079Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:30.8787386Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:30.8787581Z 
2022-11-23T01:54:30.8787827Z ##[endgroup]
2022-11-23T01:54:30.8788182Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_h19ldyrf)
2022-11-23T01:54:30.8788388Z 
2022-11-23T01:54:30.8802184Z 
2022-11-23T01:54:30.8802566Z Expand the folded group to see the log file of test_ops_jit
2022-11-23T01:54:30.8803344Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_rahtsj_e)
2022-11-23T01:54:30.8804374Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-33ca6e204e5b53fe.xml
2022-11-23T01:54:30.8804696Z ============================= test session starts ==============================
2022-11-23T01:54:30.8805064Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:30.8805335Z cachedir: .pytest_cache
2022-11-23T01:54:30.8805737Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:30.8806092Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:30.8806516Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:30.8806808Z collecting ... collected 0 items
2022-11-23T01:54:30.8807003Z Running 0 items in this shard: 
2022-11-23T01:54:30.8807128Z 
2022-11-23T01:54:30.8807239Z =============================== warnings summary ===============================
2022-11-23T01:54:30.8807586Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:30.8808105Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:30.8808462Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:30.8808596Z 
2022-11-23T01:54:30.8808822Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:30.8809312Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-33ca6e204e5b53fe.xml -
2022-11-23T01:54:30.8809637Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:30.8809941Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:30.8810138Z 
2022-11-23T01:54:30.8810367Z ##[endgroup]
2022-11-23T01:54:30.8810726Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_rahtsj_e)
2022-11-23T01:54:30.8810934Z 
2022-11-23T01:54:31.2315562Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_jit.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:31.231140]
2022-11-23T01:54:34.0344975Z 
2022-11-23T01:54:34.0345477Z Expand the folded group to see the log file of test_ops_jit
2022-11-23T01:54:34.0346413Z ##[group]PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_j9ocfgjq)
2022-11-23T01:54:34.0347362Z Test results will be stored in test-reports/python-pytest/test_ops_jit/test_ops_jit-848f5efb42fd5cbd.xml
2022-11-23T01:54:34.0347885Z ============================= test session starts ==============================
2022-11-23T01:54:34.0348495Z platform linux -- Python 3.10.4, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T01:54:34.0348916Z cachedir: .pytest_cache
2022-11-23T01:54:34.0349659Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T01:54:34.0350500Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T01:54:34.0351193Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T01:54:34.0351615Z collecting ... collected 0 items
2022-11-23T01:54:34.0351909Z Running 0 items in this shard: 
2022-11-23T01:54:34.0352087Z 
2022-11-23T01:54:34.0352251Z =============================== warnings summary ===============================
2022-11-23T01:54:34.0352796Z ../../../../../opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171
2022-11-23T01:54:34.0353594Z   /opt/conda/lib/python3.10/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T01:54:34.0354288Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T01:54:34.0354560Z 
2022-11-23T01:54:34.0354931Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T01:54:34.0355760Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_jit/test_ops_jit-848f5efb42fd5cbd.xml -
2022-11-23T01:54:34.0356349Z ============================== 1 warning in 0.01s ==============================
2022-11-23T01:54:34.0356777Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T01:54:34.0356971Z 
2022-11-23T01:54:34.0357279Z ##[endgroup]
2022-11-23T01:54:34.0357785Z FINISHED PRINTING LOG FILE of test_ops_jit (/var/lib/jenkins/workspace/test/test-reports/test_ops_jit_j9ocfgjq)
2022-11-23T01:54:34.0357996Z 
2022-11-23T01:54:34.0358177Z Running test_overrides ... [2022-11-23 01:54:34.035117]
2022-11-23T01:54:34.0358651Z Executing ['/opt/conda/bin/python', '-bb', 'test_overrides.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:34.035377]
2022-11-23T01:54:37.2561875Z 
2022-11-23T01:54:37.2562360Z Expand the folded group to see the log file of test_overrides
2022-11-23T01:54:37.2563290Z ##[group]PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_u_dboapt)
2022-11-23T01:54:37.2563823Z 
2022-11-23T01:54:37.2563944Z Running tests...
2022-11-23T01:54:37.2564553Z ----------------------------------------------------------------------
2022-11-23T01:54:37.2565168Z Test results will be stored in test-reports/python-unittest/test_overrides
2022-11-23T01:54:37.2565671Z   test_broadcast_all (__main__.TestBroadcastAllOverride) ... ok (0.235s)
2022-11-23T01:54:37.2566235Z   test_parameter_does_not_prevent_dispatch (__main__.TestDisabledTorchFunction) ... ok (0.001s)
2022-11-23T01:54:37.2566751Z   test_wrapper (__main__.TestEinsumOverride) ... ok (0.002s)
2022-11-23T01:54:37.2567168Z   test_gradcheck (__main__.TestGradCheckOverride) ... ok (0.015s)
2022-11-23T01:54:37.2567586Z   test_newones (__main__.TestGradNewOnesOverride) ... ok (0.001s)
2022-11-23T01:54:37.2568008Z   test_getitem (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:54:37.2568347Z   test_getitem_subclass (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:54:37.2568710Z   test_setitem (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:54:37.2569027Z   test_setitem_subclass (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:54:37.2569404Z   test_setitem_val (__main__.TestIndexing) ... ok (0.001s)
2022-11-23T01:54:37.2569745Z   test_iterator (__main__.TestIterator) ... ok (0.001s)
2022-11-23T01:54:37.2570097Z   test_max (__main__.TestNamedTuple) ... ok (0.001s)
2022-11-23T01:54:37.2570446Z   test_pickle (__main__.TestPickle) ... ok (0.001s)
2022-11-23T01:54:37.2570758Z   test_rnn (__main__.TestRNN) ... ok (0.002s)
2022-11-23T01:54:37.2571108Z   test_resolve_name (__main__.TestResolveName) ... ok (0.089s)
2022-11-23T01:54:37.2571476Z   test_all_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2571832Z   test_basic (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2572212Z   test_disable_enable_subclass (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2572888Z   test_disable_subclass_not_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2573409Z   test_distributions_bernoulli (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2573939Z   test_error_using_class_method_on_mode (__main__.TestTorchFunctionMode) ... ok (0.002s)
2022-11-23T01:54:37.2574328Z   test_factory_override (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2574667Z   test_get_cur_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2574970Z   test_get_mode_stack (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2575270Z   test_mode_notimplemented_loop (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2575675Z   test_modes_handle_first (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2575993Z   test_modes_return_notimplemented (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2576329Z   test_nested_modes_with_python_has_torch_function (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2576852Z   test_nested_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2577144Z   test_nn_parse_to (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2577441Z   test_reentrant_mode_idiom (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2577740Z   test_restacking_with_ancestor (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2578052Z   test_subclass_hash (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2578340Z   test_with_mode (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2578638Z   test_with_mode_created_separately (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2578952Z   test_with_nested_modes (__main__.TestTorchFunctionMode) ... ok (0.001s)
2022-11-23T01:54:37.2579256Z   test_Tensor___add__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2592807Z   test_Tensor___and__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2593350Z   test_Tensor___array__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2593940Z   test_Tensor___array_wrap__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2594522Z   test_Tensor___bool__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2594828Z   test_Tensor___complex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2595148Z   test_Tensor___contains__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2595490Z   test_Tensor___cuda_array_interface_____get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2595838Z   test_Tensor___deepcopy__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2596136Z   test_Tensor___div__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2596447Z   test_Tensor___dlpack__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2596769Z   test_Tensor___dlpack_device__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2597068Z   test_Tensor___eq__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2597375Z   test_Tensor___float__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2597692Z   test_Tensor___floordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2598005Z   test_Tensor___format__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2598295Z   test_Tensor___ge__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2598607Z   test_Tensor___getitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2598915Z   test_Tensor___gt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2599202Z   test_Tensor___iadd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2599632Z   test_Tensor___iand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2599942Z   test_Tensor___idiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2600250Z   test_Tensor___ifloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2600550Z   test_Tensor___ilshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2600856Z   test_Tensor___imod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2601162Z   test_Tensor___imul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2601452Z   test_Tensor___index__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2601816Z   test_Tensor___int__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2602121Z   test_Tensor___invert__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2602428Z   test_Tensor___ior__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2602725Z   test_Tensor___irshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2603036Z   test_Tensor___isub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2603340Z   test_Tensor___ixor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2603625Z   test_Tensor___le__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2603927Z   test_Tensor___len__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2604228Z   test_Tensor___long__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2604535Z   test_Tensor___lshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2604827Z   test_Tensor___lt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2605129Z   test_Tensor___matmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2605436Z   test_Tensor___mod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2605726Z   test_Tensor___mul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2606027Z   test_Tensor___ne__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2606335Z   test_Tensor___nonzero__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2606626Z   test_Tensor___or__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2606932Z   test_Tensor___radd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2607240Z   test_Tensor___rand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2607543Z   test_Tensor___rdiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2607837Z   test_Tensor___reduce_ex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2608148Z   test_Tensor___repr__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2608459Z   test_Tensor___reversed__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2608767Z   test_Tensor___rfloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2609085Z   test_Tensor___rlshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2609397Z   test_Tensor___rmatmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2609707Z   test_Tensor___rmod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2609996Z   test_Tensor___rmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2610300Z   test_Tensor___ror__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2610606Z   test_Tensor___rpow__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2610898Z   test_Tensor___rrshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2611212Z   test_Tensor___rshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2611550Z   test_Tensor___rsub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2611855Z   test_Tensor___rxor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2612149Z   test_Tensor___setitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2612463Z   test_Tensor___setstate__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2612772Z   test_Tensor___sub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2613065Z   test_Tensor___truediv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2613373Z   test_Tensor___xor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2613732Z   test_Tensor__autocast_to_full_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2614093Z   test_Tensor__autocast_to_reduced_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2614425Z   test_Tensor__coalesced_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2614738Z   test_Tensor__dimI (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2615041Z   test_Tensor__dimV (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2615334Z   test_Tensor__indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2615642Z   test_Tensor__is_view (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2615964Z   test_Tensor__nested_tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2616281Z   test_Tensor__nnz (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2616742Z   test_Tensor__storage (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2617056Z   test_Tensor__to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2617374Z   test_Tensor__update_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2617680Z   test_Tensor__values (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2617984Z   test_Tensor_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2618286Z   test_Tensor_abs_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2618596Z   test_Tensor_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2618896Z   test_Tensor_absolute_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2619204Z   test_Tensor_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2619515Z   test_Tensor_acos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2619808Z   test_Tensor_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2620113Z   test_Tensor_acosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2620416Z   test_Tensor_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2620704Z   test_Tensor_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2621011Z   test_Tensor_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2621320Z   test_Tensor_addbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2621631Z   test_Tensor_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2621927Z   test_Tensor_addcdiv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2622238Z   test_Tensor_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2622548Z   test_Tensor_addcmul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2622846Z   test_Tensor_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2623153Z   test_Tensor_addmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2623457Z   test_Tensor_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2623824Z   test_Tensor_addmv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2624117Z   test_Tensor_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2624421Z   test_Tensor_addr_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2624727Z   test_Tensor_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2625025Z   test_Tensor_align_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2625336Z   test_Tensor_align_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2625642Z   test_Tensor_all (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2625996Z   test_Tensor_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2626288Z   test_Tensor_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2626591Z   test_Tensor_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2626899Z   test_Tensor_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2627192Z   test_Tensor_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2627495Z   test_Tensor_any (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2627799Z   test_Tensor_apply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2628094Z   test_Tensor_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2628400Z   test_Tensor_arccos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2628712Z   test_Tensor_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2629020Z   test_Tensor_arccosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2629314Z   test_Tensor_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2629622Z   test_Tensor_arcsin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2629929Z   test_Tensor_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2630219Z   test_Tensor_arcsinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2630526Z   test_Tensor_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2630834Z   test_Tensor_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2631137Z   test_Tensor_arctan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2631425Z   test_Tensor_arctan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2631735Z   test_Tensor_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2632042Z   test_Tensor_arctanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2632336Z   test_Tensor_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2632641Z   test_Tensor_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2632945Z   test_Tensor_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2633252Z   test_Tensor_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2633550Z   test_Tensor_as_strided (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2633867Z   test_Tensor_as_strided_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2634195Z   test_Tensor_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2634568Z   test_Tensor_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2634876Z   test_Tensor_asin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2635180Z   test_Tensor_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2635487Z   test_Tensor_asinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2635810Z   test_Tensor_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2636113Z   test_Tensor_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2636416Z   test_Tensor_atan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2636704Z   test_Tensor_atan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2637009Z   test_Tensor_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2637311Z   test_Tensor_atanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2637607Z   test_Tensor_backward (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2637952Z   test_Tensor_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2638264Z   test_Tensor_baddbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2638573Z   test_Tensor_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2638878Z   test_Tensor_bernoulli_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2639192Z   test_Tensor_bfloat16 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2639500Z   test_Tensor_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2639796Z   test_Tensor_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2640117Z   test_Tensor_bitwise_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2640446Z   test_Tensor_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2640780Z   test_Tensor_bitwise_left_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2641091Z   test_Tensor_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2641405Z   test_Tensor_bitwise_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2641721Z   test_Tensor_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2642021Z   test_Tensor_bitwise_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2642346Z   test_Tensor_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2642683Z   test_Tensor_bitwise_right_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2643012Z   test_Tensor_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2643311Z   test_Tensor_bitwise_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2643619Z   test_Tensor_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2643927Z   test_Tensor_bool (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2644224Z   test_Tensor_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2644532Z   test_Tensor_byte (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2644839Z   test_Tensor_cauchy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2645155Z   test_Tensor_ccol_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2645455Z   test_Tensor_cdouble (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2645758Z   test_Tensor_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2646064Z   test_Tensor_ceil_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2646356Z   test_Tensor_cfloat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2646661Z   test_Tensor_chalf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2646967Z   test_Tensor_char (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2647273Z   test_Tensor_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2647582Z   test_Tensor_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2647945Z   test_Tensor_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2648261Z   test_Tensor_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2648553Z   test_Tensor_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2648856Z   test_Tensor_clamp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2649170Z   test_Tensor_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2649485Z   test_Tensor_clamp_max_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2649785Z   test_Tensor_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2650134Z   test_Tensor_clamp_min_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2650445Z   test_Tensor_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2650740Z   test_Tensor_clip_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2651044Z   test_Tensor_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2651351Z   test_Tensor_coalesce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2651654Z   test_Tensor_col_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2651965Z   test_Tensor_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2652277Z   test_Tensor_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2652604Z   test_Tensor_conj_physical_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2652914Z   test_Tensor_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2653227Z   test_Tensor_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2653536Z   test_Tensor_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2653837Z   test_Tensor_copysign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2654149Z   test_Tensor_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2654461Z   test_Tensor_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2654762Z   test_Tensor_cos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2655049Z   test_Tensor_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2655353Z   test_Tensor_cosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2655666Z   test_Tensor_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2655964Z   test_Tensor_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2656263Z   test_Tensor_cpu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2656740Z   test_Tensor_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2657058Z   test_Tensor_crow_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2657356Z   test_Tensor_cuda (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2657662Z   test_Tensor_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2657970Z   test_Tensor_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2658265Z   test_Tensor_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2658577Z   test_Tensor_cumprod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2658883Z   test_Tensor_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2659192Z   test_Tensor_cumsum_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2659488Z   test_Tensor_data_ptr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2659798Z   test_Tensor_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2660167Z   test_Tensor_deg2rad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2660464Z   test_Tensor_dense_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2660784Z   test_Tensor_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2661098Z   test_Tensor_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2661390Z   test_Tensor_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2661699Z   test_Tensor_detach_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2662008Z   test_Tensor_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2662376Z   test_Tensor_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2662677Z   test_Tensor_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2662990Z   test_Tensor_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2663319Z   test_Tensor_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2663625Z   test_Tensor_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2663932Z   test_Tensor_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2664243Z   test_Tensor_digamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2665165Z   test_Tensor_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2665450Z   test_Tensor_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2665747Z   test_Tensor_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2666046Z   test_Tensor_div_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2666336Z   test_Tensor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2666640Z   test_Tensor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2666946Z   test_Tensor_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2667247Z   test_Tensor_double (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2667540Z   test_Tensor_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2667849Z   test_Tensor_element_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2668157Z   test_Tensor_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2668440Z   test_Tensor_eq_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2668737Z   test_Tensor_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2669041Z   test_Tensor_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2669343Z   test_Tensor_erf_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2669627Z   test_Tensor_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2669927Z   test_Tensor_erfc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2670225Z   test_Tensor_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2670517Z   test_Tensor_erfinv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2670818Z   test_Tensor_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2671115Z   test_Tensor_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2671400Z   test_Tensor_exp2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2671701Z   test_Tensor_exp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2672004Z   test_Tensor_expand (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2672312Z   test_Tensor_expand_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2672605Z   test_Tensor_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2672942Z   test_Tensor_expm1_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2673254Z   test_Tensor_exponential_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2673549Z   test_Tensor_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2673858Z   test_Tensor_fill_diagonal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2674170Z   test_Tensor_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2674552Z   test_Tensor_fix_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2674848Z   test_Tensor_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2675201Z   test_Tensor_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2675511Z   test_Tensor_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2675804Z   test_Tensor_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2676116Z   test_Tensor_float (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2676425Z   test_Tensor_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2676742Z   test_Tensor_float_power_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2677039Z   test_Tensor_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2677342Z   test_Tensor_floor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2677652Z   test_Tensor_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2677962Z   test_Tensor_floor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2678278Z   test_Tensor_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2678582Z   test_Tensor_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2678880Z   test_Tensor_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2679174Z   test_Tensor_fmod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2679471Z   test_Tensor_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2679771Z   test_Tensor_frac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2680060Z   test_Tensor_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2680366Z   test_Tensor_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2680670Z   test_Tensor_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2680956Z   test_Tensor_gcd_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2681265Z   test_Tensor_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2681567Z   test_Tensor_ge_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2681874Z   test_Tensor_geometric_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2682170Z   test_Tensor_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2682470Z   test_Tensor_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2682774Z   test_Tensor_get_device (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2683072Z   test_Tensor_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2683382Z   test_Tensor_greater_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2683698Z   test_Tensor_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2684023Z   test_Tensor_greater_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2684318Z   test_Tensor_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2684617Z   test_Tensor_gt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2684950Z   test_Tensor_half (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2685245Z   test_Tensor_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2685557Z   test_Tensor_has_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2685869Z   test_Tensor_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2686184Z   test_Tensor_heaviside_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2686479Z   test_Tensor_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2686786Z   test_Tensor_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2687120Z   test_Tensor_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2687410Z   test_Tensor_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2687716Z   test_Tensor_hypot_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2688021Z   test_Tensor_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2688305Z   test_Tensor_i0_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2688605Z   test_Tensor_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2688909Z   test_Tensor_igamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2689215Z   test_Tensor_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2689507Z   test_Tensor_igammac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2689816Z   test_Tensor_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2690128Z   test_Tensor_index_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2690426Z   test_Tensor_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2690739Z   test_Tensor_index_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2691053Z   test_Tensor_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2691361Z   test_Tensor_index_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2691660Z   test_Tensor_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2691975Z   test_Tensor_index_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2692292Z   test_Tensor_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2692596Z   test_Tensor_index_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2692912Z   test_Tensor_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2693227Z   test_Tensor_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2693531Z   test_Tensor_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2693815Z   test_Tensor_int (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2694120Z   test_Tensor_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2694429Z   test_Tensor_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2694719Z   test_Tensor_ipu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2695030Z   test_Tensor_is_coalesced (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2695350Z   test_Tensor_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2695663Z   test_Tensor_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2695968Z   test_Tensor_is_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2696291Z   test_Tensor_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2696800Z   test_Tensor_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2697188Z   test_Tensor_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2697499Z   test_Tensor_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2697807Z   test_Tensor_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2698109Z   test_Tensor_is_pinned (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2698426Z   test_Tensor_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2698737Z   test_Tensor_is_set_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2699048Z   test_Tensor_is_shared (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2699380Z   test_Tensor_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2699689Z   test_Tensor_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2700001Z   test_Tensor_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2700299Z   test_Tensor_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2700608Z   test_Tensor_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2700918Z   test_Tensor_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2701218Z   test_Tensor_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2701524Z   test_Tensor_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2701833Z   test_Tensor_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2702139Z   test_Tensor_item (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2702429Z   test_Tensor_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2702737Z   test_Tensor_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2703043Z   test_Tensor_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2703331Z   test_Tensor_lcm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2703637Z   test_Tensor_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2703948Z   test_Tensor_ldexp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2704252Z   test_Tensor_le (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2704538Z   test_Tensor_le_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2704839Z   test_Tensor_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2705142Z   test_Tensor_lerp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2705432Z   test_Tensor_less (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2705736Z   test_Tensor_less_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2706046Z   test_Tensor_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2706362Z   test_Tensor_less_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2706661Z   test_Tensor_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2706975Z   test_Tensor_lgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2707282Z   test_Tensor_log (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2707571Z   test_Tensor_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2707874Z   test_Tensor_log10_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2708182Z   test_Tensor_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2708473Z   test_Tensor_log1p_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2708775Z   test_Tensor_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2709078Z   test_Tensor_log2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2709441Z   test_Tensor_log_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2709737Z   test_Tensor_log_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2710053Z   test_Tensor_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2710370Z   test_Tensor_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2710677Z   test_Tensor_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2710998Z   test_Tensor_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2711313Z   test_Tensor_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2711653Z   test_Tensor_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2711966Z   test_Tensor_logical_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2712286Z   test_Tensor_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2712599Z   test_Tensor_logical_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2712902Z   test_Tensor_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2713218Z   test_Tensor_logical_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2713529Z   test_Tensor_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2713843Z   test_Tensor_logical_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2714136Z   test_Tensor_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2714519Z   test_Tensor_logit_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2714836Z   test_Tensor_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2715131Z   test_Tensor_long (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2715432Z   test_Tensor_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2715730Z   test_Tensor_lt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2716024Z   test_Tensor_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2716312Z   test_Tensor_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2716620Z   test_Tensor_map2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2716919Z   test_Tensor_map_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2717211Z   test_Tensor_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2717526Z   test_Tensor_masked_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2717847Z   test_Tensor_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2718171Z   test_Tensor_masked_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2718482Z   test_Tensor_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2718793Z   test_Tensor_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2719100Z   test_Tensor_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2719400Z   test_Tensor_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2719704Z   test_Tensor_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2720003Z   test_Tensor_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2720293Z   test_Tensor_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2720594Z   test_Tensor_median (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2720891Z   test_Tensor_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2721190Z   test_Tensor_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2721513Z   test_Tensor_mm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2721810Z   test_Tensor_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2722116Z   test_Tensor_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2722412Z   test_Tensor_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2722715Z   test_Tensor_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2723015Z   test_Tensor_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2723313Z   test_Tensor_mul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2723640Z   test_Tensor_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2723953Z   test_Tensor_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2724267Z   test_Tensor_multiply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2724564Z   test_Tensor_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2724864Z   test_Tensor_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2725173Z   test_Tensor_mvlgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2725481Z   test_Tensor_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2725778Z   test_Tensor_nan_to_num_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2726092Z   test_Tensor_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2726400Z   test_Tensor_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2726703Z   test_Tensor_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2727015Z   test_Tensor_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2727317Z   test_Tensor_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2727627Z   test_Tensor_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2727929Z   test_Tensor_ndimension (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2728234Z   test_Tensor_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2728533Z   test_Tensor_ne_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2728814Z   test_Tensor_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2729110Z   test_Tensor_neg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2729416Z   test_Tensor_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2729717Z   test_Tensor_negative_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2730027Z   test_Tensor_nelement (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2730339Z   test_Tensor_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2730650Z   test_Tensor_nextafter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2730948Z   test_Tensor_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2731252Z   test_Tensor_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2731554Z   test_Tensor_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2731848Z   test_Tensor_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2732155Z   test_Tensor_not_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2732462Z   test_Tensor_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2732764Z   test_Tensor_numpy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2733052Z   test_Tensor_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2733383Z   test_Tensor_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2733683Z   test_Tensor_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2733974Z   test_Tensor_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2734284Z   test_Tensor_pin_memory (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2734595Z   test_Tensor_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2734909Z   test_Tensor_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2735211Z   test_Tensor_polygamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2735549Z   test_Tensor_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2735852Z   test_Tensor_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2736139Z   test_Tensor_pow_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2736576Z   test_Tensor_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2736922Z   test_Tensor_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2737223Z   test_Tensor_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2737510Z   test_Tensor_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2737825Z   test_Tensor_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2738160Z   test_Tensor_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2738488Z   test_Tensor_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2738813Z   test_Tensor_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2739123Z   test_Tensor_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2739415Z   test_Tensor_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2739718Z   test_Tensor_qscheme (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2740025Z   test_Tensor_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2740328Z   test_Tensor_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2740619Z   test_Tensor_rad2deg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2740926Z   test_Tensor_random_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2741229Z   test_Tensor_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2741528Z   test_Tensor_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2741843Z   test_Tensor_reciprocal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2742162Z   test_Tensor_record_stream (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2742480Z   test_Tensor_refine_names (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2742788Z   test_Tensor_register_hook (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2743097Z   test_Tensor_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2743398Z   test_Tensor_relu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2743694Z   test_Tensor_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2744006Z   test_Tensor_remainder_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2744317Z   test_Tensor_rename (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2744623Z   test_Tensor_rename_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2744915Z   test_Tensor_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2745214Z   test_Tensor_renorm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2745577Z   test_Tensor_repeat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2745885Z   test_Tensor_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2746213Z   test_Tensor_requires_grad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2746529Z   test_Tensor_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2746843Z   test_Tensor_reshape_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2747140Z   test_Tensor_resize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2747444Z   test_Tensor_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2747811Z   test_Tensor_resize_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2748110Z   test_Tensor_resize_as_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2748433Z   test_Tensor_resize_as_sparse_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2748758Z   test_Tensor_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2749077Z   test_Tensor_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2749383Z   test_Tensor_retain_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2749691Z   test_Tensor_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2749994Z   test_Tensor_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2750284Z   test_Tensor_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2750590Z   test_Tensor_round_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2750903Z   test_Tensor_row_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2751216Z   test_Tensor_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2751510Z   test_Tensor_rsqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2751819Z   test_Tensor_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2752134Z   test_Tensor_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2752434Z   test_Tensor_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2752756Z   test_Tensor_scatter_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2753084Z   test_Tensor_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2753397Z   test_Tensor_scatter_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2753716Z   test_Tensor_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2754035Z   test_Tensor_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2754353Z   test_Tensor_set_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2754723Z   test_Tensor_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2755030Z   test_Tensor_sgn_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2755343Z   test_Tensor_share_memory_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2755640Z   test_Tensor_short (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2755949Z   test_Tensor_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2756261Z   test_Tensor_sigmoid_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2756563Z   test_Tensor_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2756854Z   test_Tensor_sign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2757157Z   test_Tensor_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2757455Z   test_Tensor_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2757780Z   test_Tensor_sin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2758080Z   test_Tensor_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2758379Z   test_Tensor_sinc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2758679Z   test_Tensor_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2758968Z   test_Tensor_sinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2759264Z   test_Tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2759575Z   test_Tensor_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2759909Z   test_Tensor_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2760210Z   test_Tensor_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2760512Z   test_Tensor_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2760806Z   test_Tensor_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2761118Z   test_Tensor_sparse_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2761428Z   test_Tensor_sparse_mask (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2761742Z   test_Tensor_sparse_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2762059Z   test_Tensor_sparse_resize_and_clear_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2762380Z   test_Tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2762692Z   test_Tensor_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2762995Z   test_Tensor_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2763293Z   test_Tensor_sqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2763594Z   test_Tensor_square (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2763901Z   test_Tensor_square_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2764192Z   test_Tensor_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2764494Z   test_Tensor_squeeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2764802Z   test_Tensor_sspaddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2765091Z   test_Tensor_std (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2765391Z   test_Tensor_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2765697Z   test_Tensor_storage (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2766013Z   test_Tensor_storage_offset (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2766319Z   test_Tensor_storage_type (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2766679Z   test_Tensor_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2766977Z   test_Tensor_sub_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2767267Z   test_Tensor_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2767575Z   test_Tensor_subtract_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2767878Z   test_Tensor_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2768183Z   test_Tensor_sum_to_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2768471Z   test_Tensor_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2768775Z   test_Tensor_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2769083Z   test_Tensor_swapaxes_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2769377Z   test_Tensor_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2769717Z   test_Tensor_swapdims_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2770027Z   test_Tensor_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2770325Z   test_Tensor_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2770605Z   test_Tensor_t_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2770903Z   test_Tensor_take (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2771216Z   test_Tensor_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2771512Z   test_Tensor_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2771840Z   test_Tensor_tan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2772136Z   test_Tensor_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2772426Z   test_Tensor_tanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2772738Z   test_Tensor_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2773044Z   test_Tensor_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2773340Z   test_Tensor_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2773625Z   test_Tensor_to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2773931Z   test_Tensor_to_mkldnn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2774239Z   test_Tensor_to_sparse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2774531Z   test_Tensor_tolist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2774831Z   test_Tensor_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2775131Z   test_Tensor_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2775438Z   test_Tensor_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2775742Z   test_Tensor_transpose_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2776065Z   test_Tensor_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2776380Z   test_Tensor_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2776774Z   test_Tensor_tril_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2777074Z   test_Tensor_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2777376Z   test_Tensor_triu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2777686Z   test_Tensor_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2777993Z   test_Tensor_true_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2778300Z   test_Tensor_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2778602Z   test_Tensor_trunc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2778893Z   test_Tensor_type (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2779197Z   test_Tensor_type_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2779505Z   test_Tensor_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2779798Z   test_Tensor_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2780101Z   test_Tensor_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2780405Z   test_Tensor_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2780718Z   test_Tensor_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2781034Z   test_Tensor_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2781348Z   test_Tensor_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2781737Z   test_Tensor_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2782053Z   test_Tensor_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2782365Z   test_Tensor_unsqueeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2782673Z   test_Tensor_values (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2782974Z   test_Tensor_var (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2783258Z   test_Tensor_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2783559Z   test_Tensor_view (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2783898Z   test_Tensor_view_as (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2784191Z   test_Tensor_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2784491Z   test_Tensor_where (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2784795Z   test_Tensor_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2785101Z   test_Tensor_xlogy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2785388Z   test_Tensor_xpu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2785691Z   test_Tensor_zero_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2785999Z   test__TensorBase_H___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2786303Z   test__TensorBase_T___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2786637Z   test__TensorBase__backward_hooks___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2786982Z   test__TensorBase__base___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2787306Z   test__TensorBase__cdata___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2787620Z   test__TensorBase__grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2787951Z   test__TensorBase__grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2788282Z   test__TensorBase__version___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2788602Z   test__TensorBase_data___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2788924Z   test__TensorBase_device___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2789249Z   test__TensorBase_dtype___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2789573Z   test__TensorBase_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2789888Z   test__TensorBase_grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2790211Z   test__TensorBase_imag___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2790537Z   test__TensorBase_is_cpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2790853Z   test__TensorBase_is_cuda___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2791179Z   test__TensorBase_is_ipu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2791509Z   test__TensorBase_is_leaf___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2791831Z   test__TensorBase_is_meta___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2792147Z   test__TensorBase_is_mkldnn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2792479Z   test__TensorBase_is_mps___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2792811Z   test__TensorBase_is_nested___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2793136Z   test__TensorBase_is_ort___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2793488Z   test__TensorBase_is_quantized___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2793832Z   test__TensorBase_is_sparse___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2794176Z   test__TensorBase_is_sparse_csr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2794571Z   test__TensorBase_is_vulkan___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2794921Z   test__TensorBase_is_xpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2795251Z   test__TensorBase_layout___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2795612Z   test__TensorBase_mH___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2795918Z   test__TensorBase_mT___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2796240Z   test__TensorBase_name___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2796569Z   test__TensorBase_names___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2796878Z   test__TensorBase_ndim___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2797212Z   test__TensorBase_output_nr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2797544Z   test__TensorBase_real___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2797880Z   test__TensorBase_requires_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2798209Z   test__TensorBase_retains_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2798546Z   test__TensorBase_shape___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2798879Z   test__TensorBase_volatile___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2799178Z   test_base (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2799469Z   test_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2799789Z   test_has_torch_function_non_sequence (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2800105Z   test_mean_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T01:54:37.2800383Z Test that a function with one argument can be overrided ... ok (0.001s)
2022-11-23T01:54:37.2800673Z   test_mm_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T01:54:37.2800969Z Test that a function with multiple arguments can be overrided ... ok (0.002s)
2022-11-23T01:54:37.2801261Z   test_pow_rpow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2801563Z   test_precedence_semantics (__main__.TestTorchFunctionOverride)
2022-11-23T01:54:37.2801861Z Test semantics for __torch_function__ for functions that take ... ok (0.003s)
2022-11-23T01:54:37.2802167Z   test_tensor_subclass_propagation (__main__.TestTorchFunctionOverride)
2022-11-23T01:54:37.2802457Z this test exercises the functionality described in ... ok (0.002s)
2022-11-23T01:54:37.2802762Z   test_torch__C__fft_fft_fft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2803078Z   test_torch__C__fft_fft_fft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2803379Z   test_torch__C__fft_fft_fftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2803702Z   test_torch__C__fft_fft_fftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2804021Z   test_torch__C__fft_fft_hfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2804328Z   test_torch__C__fft_fft_hfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2804651Z   test_torch__C__fft_fft_hfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2804966Z   test_torch__C__fft_fft_ifft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2805310Z   test_torch__C__fft_fft_ifft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2805609Z   test_torch__C__fft_fft_ifftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2805933Z   test_torch__C__fft_fft_ifftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2806254Z   test_torch__C__fft_fft_ihfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2806572Z   test_torch__C__fft_fft_ihfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2806876Z   test_torch__C__fft_fft_ihfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2807196Z   test_torch__C__fft_fft_irfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2807544Z   test_torch__C__fft_fft_irfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2807847Z   test_torch__C__fft_fft_irfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2808167Z   test_torch__C__fft_fft_rfft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2808481Z   test_torch__C__fft_fft_rfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2808795Z   test_torch__C__fft_fft_rfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2809109Z   test_torch__C__linalg_linalg_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2809458Z   test_torch__C__linalg_linalg_cholesky_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2809798Z   test_torch__C__linalg_linalg_cond (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2810123Z   test_torch__C__linalg_linalg_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2810455Z   test_torch__C__linalg_linalg_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2810794Z   test_torch__C__linalg_linalg_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2811131Z   test_torch__C__linalg_linalg_eig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2811451Z   test_torch__C__linalg_linalg_eigh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2811787Z   test_torch__C__linalg_linalg_eigvals (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2812130Z   test_torch__C__linalg_linalg_eigvalsh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2812477Z   test_torch__C__linalg_linalg_householder_product (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2812828Z   test_torch__C__linalg_linalg_inv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2813164Z   test_torch__C__linalg_linalg_inv_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2813506Z   test_torch__C__linalg_linalg_ldl_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2813842Z   test_torch__C__linalg_linalg_ldl_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2814189Z   test_torch__C__linalg_linalg_ldl_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2814525Z   test_torch__C__linalg_linalg_lstsq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2814854Z   test_torch__C__linalg_linalg_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2815177Z   test_torch__C__linalg_linalg_lu_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2815524Z   test_torch__C__linalg_linalg_lu_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2815866Z   test_torch__C__linalg_linalg_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2816191Z   test_torch__C__linalg_linalg_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2816670Z   test_torch__C__linalg_linalg_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2817070Z   test_torch__C__linalg_linalg_matrix_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2817422Z   test_torch__C__linalg_linalg_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2817755Z   test_torch__C__linalg_linalg_matrix_rank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2818098Z   test_torch__C__linalg_linalg_multi_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2818435Z   test_torch__C__linalg_linalg_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2818754Z   test_torch__C__linalg_linalg_pinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2819121Z   test_torch__C__linalg_linalg_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2819455Z   test_torch__C__linalg_linalg_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2819794Z   test_torch__C__linalg_linalg_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2820117Z   test_torch__C__linalg_linalg_solve_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2820465Z   test_torch__C__linalg_linalg_solve_triangular (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2820806Z   test_torch__C__linalg_linalg_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2821139Z   test_torch__C__linalg_linalg_svdvals (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2821469Z   test_torch__C__linalg_linalg_tensorinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2821818Z   test_torch__C__linalg_linalg_tensorsolve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2822159Z   test_torch__C__linalg_linalg_vander (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2822482Z   test_torch__C__linalg_linalg_vecdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2822826Z   test_torch__C__linalg_linalg_vector_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2823158Z   test_torch__C__nn_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2823485Z   test_torch__C__nn_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2823785Z   test_torch__C__nn_gelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2824098Z   test_torch__C__nn_linear (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2824419Z   test_torch__C__nn_log_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2824727Z   test_torch__C__nn_one_hot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2825043Z   test_torch__C__nn_softplus (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2825364Z   test_torch__C__nn_softshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2825701Z   test_torch__C__special_special_airy_ai (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2826036Z   test_torch__C__special_special_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2826382Z   test_torch__C__special_special_bessel_j1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2826729Z   test_torch__C__special_special_bessel_y0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2827061Z   test_torch__C__special_special_bessel_y1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2827424Z   test_torch__C__special_special_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2827810Z   test_torch__C__special_special_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2828183Z   test_torch__C__special_special_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2828571Z   test_torch__C__special_special_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2828937Z   test_torch__C__special_special_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2829280Z   test_torch__C__special_special_entr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2829613Z   test_torch__C__special_special_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2829935Z   test_torch__C__special_special_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2830314Z   test_torch__C__special_special_erfcx (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2830656Z   test_torch__C__special_special_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2830983Z   test_torch__C__special_special_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2831318Z   test_torch__C__special_special_expit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2831656Z   test_torch__C__special_special_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2831997Z   test_torch__C__special_special_gammainc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2832338Z   test_torch__C__special_special_gammaincc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2832684Z   test_torch__C__special_special_gammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2833048Z   test_torch__C__special_special_hermite_polynomial_h (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2833426Z   test_torch__C__special_special_hermite_polynomial_he (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2833764Z   test_torch__C__special_special_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2834103Z   test_torch__C__special_special_i0e (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2834509Z   test_torch__C__special_special_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2834829Z   test_torch__C__special_special_i1e (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2835182Z   test_torch__C__special_special_laguerre_polynomial_l (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2835564Z   test_torch__C__special_special_legendre_polynomial_p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2835918Z   test_torch__C__special_special_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2836250Z   test_torch__C__special_special_log_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2836602Z   test_torch__C__special_special_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2836948Z   test_torch__C__special_special_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2837301Z   test_torch__C__special_special_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2837650Z   test_torch__C__special_special_modified_bessel_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2838016Z   test_torch__C__special_special_modified_bessel_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2838384Z   test_torch__C__special_special_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2838737Z   test_torch__C__special_special_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2839101Z   test_torch__C__special_special_multigammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2839450Z   test_torch__C__special_special_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2839822Z   test_torch__C__special_special_ndtri (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2840159Z   test_torch__C__special_special_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2840502Z   test_torch__C__special_special_psi (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2840838Z   test_torch__C__special_special_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2841202Z   test_torch__C__special_special_scaled_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2841570Z   test_torch__C__special_special_scaled_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2841989Z   test_torch__C__special_special_shifted_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2842383Z   test_torch__C__special_special_shifted_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2842766Z   test_torch__C__special_special_shifted_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2843158Z   test_torch__C__special_special_shifted_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2843528Z   test_torch__C__special_special_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2843876Z   test_torch__C__special_special_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2844227Z   test_torch__C__special_special_spherical_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2844593Z   test_torch__C__special_special_xlog1py (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2844942Z   test_torch__C__special_special_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2845284Z   test_torch__C__special_special_zeta (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2845602Z   test_torch__assert_async (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2845921Z   test_torch__conj_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2846242Z   test_torch__fw_primal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2846550Z   test_torch__indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2846874Z   test_torch__lobpcg_lobpcg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2847207Z   test_torch__lowrank_pca_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2847547Z   test_torch__lowrank_svd_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2847865Z   test_torch__make_dual_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2848189Z   test_torch__neg_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2848521Z   test_torch__reshape_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2848835Z   test_torch__rowwise_prune (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2849168Z   test_torch__sparse_broadcast_to_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2849501Z   test_torch__values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2849812Z   test_torch_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2850105Z   test_torch_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2850410Z   test_torch_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2850717Z   test_torch_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2851028Z   test_torch_adaptive_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2851395Z   test_torch_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2851713Z   test_torch_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2852022Z   test_torch_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2852318Z   test_torch_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2852624Z   test_torch_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2852926Z   test_torch_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2853214Z   test_torch_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2853543Z   test_torch_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2853848Z   test_torch_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2854169Z   test_torch_affine_grid_generator (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2854483Z   test_torch_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2854787Z   test_torch_all (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2855091Z   test_torch_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2855394Z   test_torch_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2855704Z   test_torch_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2856001Z   test_torch_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2856291Z   test_torch_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2856710Z   test_torch_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2857009Z   test_torch_any (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2857309Z   test_torch_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2857602Z   test_torch_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2857908Z   test_torch_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2858213Z   test_torch_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2858502Z   test_torch_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2858806Z   test_torch_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2859107Z   test_torch_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2859406Z   test_torch_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2859696Z   test_torch_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2859998Z   test_torch_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2860308Z   test_torch_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2860615Z   test_torch_as_strided_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2860944Z   test_torch_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2861256Z   test_torch_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2861556Z   test_torch_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2861843Z   test_torch_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2862142Z   test_torch_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2862438Z   test_torch_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2862732Z   test_torch_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2863044Z   test_torch_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2863349Z   test_torch_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2863714Z   test_torch_batch_norm_backward_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2864061Z   test_torch_batch_norm_backward_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2864395Z   test_torch_batch_norm_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2864725Z   test_torch_batch_norm_gather_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2865065Z   test_torch_batch_norm_gather_stats_with_counts (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2865407Z   test_torch_batch_norm_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2865785Z   test_torch_batch_norm_update_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2866107Z   test_torch_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2866403Z   test_torch_bilinear (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2866738Z   test_torch_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2867071Z   test_torch_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2867368Z   test_torch_binomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2867681Z   test_torch_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2868002Z   test_torch_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2868317Z   test_torch_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2868616Z   test_torch_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2868943Z   test_torch_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2869266Z   test_torch_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2869555Z   test_torch_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2869864Z   test_torch_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2870177Z   test_torch_bucketize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2870483Z   test_torch_cat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2870785Z   test_torch_ccol_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2871099Z   test_torch_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2871398Z   test_torch_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2871698Z   test_torch_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2872013Z   test_torch_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2872328Z   test_torch_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2872639Z   test_torch_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2872974Z   test_torch_choose_qparams_optimized (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2873297Z   test_torch_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2873596Z   test_torch_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2873890Z   test_torch_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2874198Z   test_torch_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2874575Z   test_torch_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2874867Z   test_torch_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2875180Z   test_torch_col_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2875503Z   test_torch_column_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2875851Z   test_torch_combinations (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2876153Z   test_torch_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2876459Z   test_torch_concat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2876771Z   test_torch_concatenate (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2877062Z   test_torch_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2877368Z   test_torch_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2877723Z   test_torch_constant_pad_nd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2878040Z   test_torch_conv1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2878330Z   test_torch_conv2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2878632Z   test_torch_conv3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2878937Z   test_torch_conv_tbc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2879244Z   test_torch_conv_transpose1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2879567Z   test_torch_conv_transpose2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2879887Z   test_torch_conv_transpose3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2880205Z   test_torch_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2880503Z   test_torch_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2880812Z   test_torch_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2881110Z   test_torch_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2881394Z   test_torch_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2881710Z   test_torch_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2882046Z   test_torch_cosine_similarity (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2882368Z   test_torch_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2882660Z   test_torch_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2882957Z   test_torch_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2883270Z   test_torch_crow_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2883578Z   test_torch_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2883882Z   test_torch_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2884181Z   test_torch_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2884472Z   test_torch_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2884776Z   test_torch_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2885100Z   test_torch_cumulative_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2885425Z   test_torch_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2885721Z   test_torch_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2886025Z   test_torch_det (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2886322Z   test_torch_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2886618Z   test_torch_detach_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2886926Z   test_torch_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2887232Z   test_torch_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2887544Z   test_torch_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2887877Z   test_torch_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2888194Z   test_torch_diagonal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2888518Z   test_torch_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2888818Z   test_torch_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2889118Z   test_torch_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2889419Z   test_torch_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2889782Z   test_torch_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2890069Z   test_torch_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2890372Z   test_torch_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2890679Z   test_torch_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2890972Z   test_torch_dsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2891276Z   test_torch_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2891581Z   test_torch_dstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2891892Z   test_torch_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2892198Z   test_torch_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2892518Z   test_torch_empty_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2892824Z   test_torch_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2893109Z   test_torch_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2893410Z   test_torch_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2893710Z   test_torch_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2893998Z   test_torch_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2894301Z   test_torch_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2894603Z   test_torch_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2894913Z   test_torch_expand_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2895213Z   test_torch_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2895549Z   test_torch_fake_quantize_per_channel_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2895915Z   test_torch_fake_quantize_per_tensor_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2896257Z   test_torch_fbgemm_linear_fp16_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2896760Z   test_torch_fbgemm_linear_fp16_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2897123Z   test_torch_fbgemm_linear_int8_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2897489Z   test_torch_fbgemm_linear_int8_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2897837Z   test_torch_fbgemm_linear_quantize_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2898190Z   test_torch_fbgemm_pack_gemm_matrix_fp16 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2898545Z   test_torch_fbgemm_pack_quantized_matrix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2898896Z   test_torch_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2899215Z   test_torch_feature_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2899529Z   test_torch_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2899876Z   test_torch_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2900169Z   test_torch_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2900471Z   test_torch_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2900775Z   test_torch_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2901087Z   test_torch_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2901379Z   test_torch_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2901690Z   test_torch_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2902033Z   test_torch_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2902317Z   test_torch_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2902614Z   test_torch_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2902912Z   test_torch_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2903199Z   test_torch_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2903515Z   test_torch_frobenius_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2903827Z   test_torch_full_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2903990Z   test_torch_functional_atleast_1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2904146Z   test_torch_functional_atleast_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2904302Z   test_torch_functional_atleast_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2904448Z   test_torch_functional_block_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2904615Z   test_torch_functional_broadcast_tensors (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2904779Z   test_torch_functional_cartesian_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2904933Z   test_torch_functional_cdist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2905093Z   test_torch_functional_chain_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2905250Z   test_torch_functional_einsum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2905398Z   test_torch_functional_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2905555Z   test_torch_functional_meshgrid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2905691Z   test_torch_functional_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2905848Z   test_torch_functional_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2905997Z   test_torch_functional_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2906155Z   test_torch_functional_tensordot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2906308Z   test_torch_functional_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2906476Z   test_torch_functional_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2906643Z   test_torch_fused_moving_avg_obs_fake_quant (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2906786Z   test_torch_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2906923Z   test_torch_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2907047Z   test_torch_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2907187Z   test_torch_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2907323Z   test_torch_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2907466Z   test_torch_gradient (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2907634Z   test_torch_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2907784Z   test_torch_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2907930Z   test_torch_grid_sampler (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2908067Z   test_torch_grid_sampler_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2908217Z   test_torch_grid_sampler_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2908362Z   test_torch_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2908539Z   test_torch_gru (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2908679Z   test_torch_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2908816Z   test_torch_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2908965Z   test_torch_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2909109Z   test_torch_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2909255Z   test_torch_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2909393Z   test_torch_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2909540Z   test_torch_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2909689Z   test_torch_histogramdd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2909826Z   test_torch_hsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2909968Z   test_torch_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2910108Z   test_torch_hstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2910247Z   test_torch_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2910371Z   test_torch_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2910509Z   test_torch_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2910649Z   test_torch_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2910787Z   test_torch_imag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2910929Z   test_torch_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2911075Z   test_torch_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2911221Z   test_torch_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2911366Z   test_torch_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2911501Z   test_torch_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2911648Z   test_torch_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2911799Z   test_torch_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2911939Z   test_torch_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2912086Z   test_torch_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2912230Z   test_torch_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2912372Z   test_torch_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2912515Z   test_torch_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2912644Z   test_torch_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2912795Z   test_torch_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2912948Z   test_torch_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2913093Z   test_torch_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2913258Z   test_torch_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2913401Z   test_torch_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2913545Z   test_torch_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2913686Z   test_torch_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2913814Z   test_torch_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2913955Z   test_torch_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2914091Z   test_torch_isin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2914255Z   test_torch_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2914462Z   test_torch_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2914606Z   test_torch_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2914750Z   test_torch_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2914890Z   test_torch_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2915013Z   test_torch_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2915153Z   test_torch_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2915290Z   test_torch_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2915433Z   test_torch_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2915580Z   test_torch_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2915717Z   test_torch_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2915855Z   test_torch_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2915991Z   test_torch_le (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2916116Z   test_torch_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2916251Z   test_torch_less (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2916397Z   test_torch_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2916538Z   test_torch_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2916674Z   test_torch_log (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2916808Z   test_torch_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2916947Z   test_torch_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2917084Z   test_torch_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2917217Z   test_torch_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2917366Z   test_torch_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2917514Z   test_torch_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2917663Z   test_torch_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2917803Z   test_torch_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2917949Z   test_torch_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2918092Z   test_torch_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2918235Z   test_torch_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2918369Z   test_torch_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2918506Z   test_torch_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2918648Z   test_torch_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2918813Z   test_torch_lstm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2918955Z   test_torch_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2919090Z   test_torch_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2919231Z   test_torch_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2919372Z   test_torch_lu_unpack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2919513Z   test_torch_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2919656Z   test_torch_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2919834Z   test_torch_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2919981Z   test_torch_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2920120Z   test_torch_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2920267Z   test_torch_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2920414Z   test_torch_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2920549Z   test_torch_max (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2920682Z   test_torch_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2920841Z   test_torch_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2920986Z   test_torch_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2921127Z   test_torch_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2921270Z   test_torch_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2921405Z   test_torch_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2921546Z   test_torch_median (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2921686Z   test_torch_min (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2921813Z   test_torch_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2921967Z   test_torch_miopen_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2922121Z   test_torch_miopen_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2922283Z   test_torch_miopen_convolution_add_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2922441Z   test_torch_miopen_convolution_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2922611Z   test_torch_miopen_convolution_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2922778Z   test_torch_miopen_depthwise_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2922920Z   test_torch_miopen_rnn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2923045Z   test_torch_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2923189Z   test_torch_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2923331Z   test_torch_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2923468Z   test_torch_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2923602Z   test_torch_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2923748Z   test_torch_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2923891Z   test_torch_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2924030Z   test_torch_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2924159Z   test_torch_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2924299Z   test_torch_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2924465Z   test_torch_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2924609Z   test_torch_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2924754Z   test_torch_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2924893Z   test_torch_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2925033Z   test_torch_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2925177Z   test_torch_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2925318Z   test_torch_native_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2925505Z   test_torch_native_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2925654Z   test_torch_native_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2925807Z   test_torch_native_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2925955Z   test_torch_native_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2926098Z   test_torch_native_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2926232Z   test_torch_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2926368Z   test_torch_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2926498Z   test_torch_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2926641Z   test_torch_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2926802Z   test_torch_nn_functional__threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2926975Z   test_torch_nn_functional_adaptive_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2927145Z   test_torch_nn_functional_adaptive_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2927311Z   test_torch_nn_functional_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2927496Z   test_torch_nn_functional_adaptive_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2927667Z   test_torch_nn_functional_adaptive_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2927854Z   test_torch_nn_functional_adaptive_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2928013Z   test_torch_nn_functional_adaptive_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2928200Z   test_torch_nn_functional_adaptive_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2928361Z   test_torch_nn_functional_affine_grid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2928525Z   test_torch_nn_functional_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2928685Z   test_torch_nn_functional_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2928857Z   test_torch_nn_functional_binary_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2929042Z   test_torch_nn_functional_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2929197Z   test_torch_nn_functional_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2929371Z   test_torch_nn_functional_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2929525Z   test_torch_nn_functional_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2929680Z   test_torch_nn_functional_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2929866Z   test_torch_nn_functional_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2930029Z   test_torch_nn_functional_dropout1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2930189Z   test_torch_nn_functional_dropout2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2930342Z   test_torch_nn_functional_dropout3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2930495Z   test_torch_nn_functional_elu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2930655Z   test_torch_nn_functional_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2930807Z   test_torch_nn_functional_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2931008Z   test_torch_nn_functional_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2931164Z   test_torch_nn_functional_fold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2931340Z   test_torch_nn_functional_fractional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2931527Z   test_torch_nn_functional_fractional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2931699Z   test_torch_nn_functional_fractional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2931884Z   test_torch_nn_functional_fractional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2932052Z   test_torch_nn_functional_gaussian_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2932209Z   test_torch_nn_functional_glu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2932359Z   test_torch_nn_functional_grid_sample (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2932518Z   test_torch_nn_functional_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2932683Z   test_torch_nn_functional_gumbel_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2932842Z   test_torch_nn_functional_hardtanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2933015Z   test_torch_nn_functional_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2933172Z   test_torch_nn_functional_huber_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2933334Z   test_torch_nn_functional_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2933494Z   test_torch_nn_functional_interpolate (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2933651Z   test_torch_nn_functional_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2933793Z   test_torch_nn_functional_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2933952Z   test_torch_nn_functional_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2934108Z   test_torch_nn_functional_leaky_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2934279Z   test_torch_nn_functional_local_response_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2934439Z   test_torch_nn_functional_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2934595Z   test_torch_nn_functional_lp_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2934753Z   test_torch_nn_functional_lp_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2934925Z   test_torch_nn_functional_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2935072Z   test_torch_nn_functional_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2935246Z   test_torch_nn_functional_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2935438Z   test_torch_nn_functional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2935616Z   test_torch_nn_functional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2935776Z   test_torch_nn_functional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2935950Z   test_torch_nn_functional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2936114Z   test_torch_nn_functional_max_unpool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2936304Z   test_torch_nn_functional_max_unpool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2936574Z   test_torch_nn_functional_max_unpool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2936716Z   test_torch_nn_functional_mish (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2936877Z   test_torch_nn_functional_mse_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2937059Z   test_torch_nn_functional_multi_head_attention_forward (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2937228Z   test_torch_nn_functional_multi_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2937403Z   test_torch_nn_functional_multilabel_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2937587Z   test_torch_nn_functional_multilabel_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2937742Z   test_torch_nn_functional_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2937906Z   test_torch_nn_functional_normalize (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2938063Z   test_torch_nn_functional_pad (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2938221Z   test_torch_nn_functional_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2938377Z   test_torch_nn_functional_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2938530Z   test_torch_nn_functional_relu6 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2938685Z   test_torch_nn_functional_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2938842Z   test_torch_nn_functional_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2938992Z   test_torch_nn_functional_silu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2939160Z   test_torch_nn_functional_smooth_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2939329Z   test_torch_nn_functional_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2939473Z   test_torch_nn_functional_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2939632Z   test_torch_nn_functional_softmin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2939791Z   test_torch_nn_functional_softsign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2939953Z   test_torch_nn_functional_tanhshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2940127Z   test_torch_nn_functional_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2940316Z   test_torch_nn_functional_triplet_margin_with_distance_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2940474Z   test_torch_nn_functional_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2940630Z   test_torch_nn_init_constant_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2940773Z   test_torch_nn_init_kaiming_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2940974Z   test_torch_nn_init_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2941125Z   test_torch_nn_init_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2941267Z   test_torch_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2941420Z   test_torch_norm_except_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2941565Z   test_torch_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2941714Z   test_torch_nuclear_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2941855Z   test_torch_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2942035Z   test_torch_ones_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2942161Z   test_torch_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2942300Z   test_torch_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2942441Z   test_torch_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2942601Z   test_torch_pairwise_distance (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2942737Z   test_torch_pdist (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2942878Z   test_torch_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2943025Z   test_torch_permute_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2943169Z   test_torch_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2943305Z   test_torch_pixel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2943456Z   test_torch_pixel_unshuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2943595Z   test_torch_poisson (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2943748Z   test_torch_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2943890Z   test_torch_polar (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2944034Z   test_torch_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2944178Z   test_torch_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2944314Z   test_torch_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2944439Z   test_torch_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2944576Z   test_torch_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2944711Z   test_torch_put (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2944869Z   test_torch_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2945024Z   test_torch_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2945186Z   test_torch_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2945325Z   test_torch_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2945471Z   test_torch_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2945596Z   test_torch_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2945737Z   test_torch_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2945894Z   test_torch_quantize_per_channel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2946051Z   test_torch_quantize_per_tensor (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2946217Z   test_torch_quantize_per_tensor_dynamic (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2946371Z   test_torch_quantized_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2946526Z   test_torch_quantized_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2946706Z   test_torch_quantized_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2946848Z   test_torch_quantized_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2946999Z   test_torch_quantized_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2947161Z   test_torch_quantized_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2947318Z   test_torch_quantized_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2947462Z   test_torch_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2947644Z   test_torch_rand_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2947791Z   test_torch_randint_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2947934Z   test_torch_randn_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2948063Z   test_torch_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2948201Z   test_torch_real (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2948346Z   test_torch_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2948483Z   test_torch_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2948626Z   test_torch_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2948765Z   test_torch_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2948921Z   test_torch_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2949065Z   test_torch_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2949201Z   test_torch_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2949352Z   test_torch_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2949492Z   test_torch_rnn_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2949643Z   test_torch_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2949782Z   test_torch_rnn_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2949928Z   test_torch_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2950065Z   test_torch_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2950201Z   test_torch_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2950329Z   test_torch_round (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2950478Z   test_torch_row_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2950619Z   test_torch_row_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2950758Z   test_torch_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2950892Z   test_torch_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2951028Z   test_torch_rsub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2951168Z   test_torch_saddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2951307Z   test_torch_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2951442Z   test_torch_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2951591Z   test_torch_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2951740Z   test_torch_searchsorted (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2951890Z   test_torch_segment_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2952028Z   test_torch_select (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2952201Z   test_torch_select_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2952350Z   test_torch_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2952488Z   test_torch_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2952612Z   test_torch_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2952755Z   test_torch_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2952891Z   test_torch_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2953031Z   test_torch_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2953193Z   test_torch_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2953329Z   test_torch_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2953464Z   test_torch_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2953611Z   test_torch_slice_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2953746Z   test_torch_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2953885Z   test_torch_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2954021Z   test_torch_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2954161Z   test_torch_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2954297Z   test_torch_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2954510Z   test_torch_split_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2954668Z   test_torch_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2954826Z   test_torch_split_with_sizes_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2954950Z   test_torch_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2955094Z   test_torch_square (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2955236Z   test_torch_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2955386Z   test_torch_squeeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2955525Z   test_torch_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2955662Z   test_torch_std (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2955803Z   test_torch_std_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2955937Z   test_torch_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2956068Z   test_torch_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2956204Z   test_torch_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2956337Z   test_torch_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2956481Z   test_torch_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2956624Z   test_torch_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2956763Z   test_torch_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2956897Z   test_torch_t (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2957038Z   test_torch_t_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2957163Z   test_torch_take (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2957312Z   test_torch_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2957450Z   test_torch_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2957587Z   test_torch_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2957733Z   test_torch_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2957907Z   test_torch_threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2958044Z   test_torch_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2958180Z   test_torch_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2958306Z   test_torch_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2958448Z   test_torch_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2958600Z   test_torch_transpose_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2958743Z   test_torch_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2958908Z   test_torch_trapz (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2959060Z   test_torch_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2959194Z   test_torch_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2959352Z   test_torch_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2959476Z   test_torch_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2959621Z   test_torch_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2959758Z   test_torch_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2959896Z   test_torch_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2960040Z   test_torch_unbind_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2960184Z   test_torch_unflatten (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2960330Z   test_torch_unfold_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2960477Z   test_torch_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2960612Z   test_torch_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2960773Z   test_torch_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2960912Z   test_torch_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2961063Z   test_torch_unsqueeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2961206Z   test_torch_values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2961339Z   test_torch_var (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2961480Z   test_torch_var_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2961617Z   test_torch_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2961755Z   test_torch_view_as_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2961910Z   test_torch_view_as_complex_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2962054Z   test_torch_view_as_real (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2962206Z   test_torch_view_as_real_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2962348Z   test_torch_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2962490Z   test_torch_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2962629Z   test_torch_vstack (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2962769Z   test_torch_where (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2962894Z   test_torch_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2963038Z   test_torch_zeros_like (__main__.TestTorchFunctionOverride) ... ok (0.001s)
2022-11-23T01:54:37.2963185Z   test_user_implementation_raises (__main__.TestTorchFunctionOverride)
2022-11-23T01:54:37.2963345Z Test that errors raised in user implementations propagate correctly ... ok (0.001s)
2022-11-23T01:54:37.2963529Z   test_warn_on_invalid_torch_function (__main__.TestTorchFunctionWarning) ... ok (0.009s)
2022-11-23T01:54:37.2963670Z   test_wrap_torch_function (__main__.TestWrapTorchFunction) ... ok (0.001s)
2022-11-23T01:54:37.2963681Z 
2022-11-23T01:54:37.2963982Z ----------------------------------------------------------------------
2022-11-23T01:54:37.2964065Z Ran 1415 tests in 1.345s
2022-11-23T01:54:37.2964070Z 
2022-11-23T01:54:37.2964120Z OK
2022-11-23T01:54:37.2964138Z 
2022-11-23T01:54:37.2964210Z Generating XML reports...
2022-11-23T01:54:37.2964548Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestBroadcastAllOverride-20221123015435.xml
2022-11-23T01:54:37.2964900Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestDisabledTorchFunction-20221123015435.xml
2022-11-23T01:54:37.2965193Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestEinsumOverride-20221123015435.xml
2022-11-23T01:54:37.2965496Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradCheckOverride-20221123015435.xml
2022-11-23T01:54:37.2965796Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradNewOnesOverride-20221123015435.xml
2022-11-23T01:54:37.2966061Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIndexing-20221123015435.xml
2022-11-23T01:54:37.2966335Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIterator-20221123015435.xml
2022-11-23T01:54:37.2966596Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestNamedTuple-20221123015435.xml
2022-11-23T01:54:37.2966863Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestPickle-20221123015435.xml
2022-11-23T01:54:37.2967116Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestRNN-20221123015435.xml
2022-11-23T01:54:37.2967397Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestResolveName-20221123015435.xml
2022-11-23T01:54:37.2967696Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionMode-20221123015435.xml
2022-11-23T01:54:37.2968005Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionOverride-20221123015435.xml
2022-11-23T01:54:37.2968314Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionWarning-20221123015435.xml
2022-11-23T01:54:37.2968609Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestWrapTorchFunction-20221123015435.xml
2022-11-23T01:54:37.2968615Z 
2022-11-23T01:54:37.2968962Z ##[endgroup]
2022-11-23T01:54:37.2969243Z FINISHED PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_u_dboapt)
2022-11-23T01:54:37.2969248Z 
2022-11-23T01:54:37.2969402Z Running test_prims ... [2022-11-23 01:54:37.257857]
2022-11-23T01:54:37.2969730Z Executing ['/opt/conda/bin/python', '-bb', 'test_prims.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:37.258070]
2022-11-23T01:54:39.8338902Z 
2022-11-23T01:54:39.8339367Z Expand the folded group to see the log file of test_prims
2022-11-23T01:54:39.8340384Z ##[group]PRINTING LOG FILE of test_prims (/var/lib/jenkins/workspace/test/test-reports/test_prims_gt3r31kj)
2022-11-23T01:54:39.8340710Z 
2022-11-23T01:54:39.8340805Z Running tests...
2022-11-23T01:54:39.8341208Z ----------------------------------------------------------------------
2022-11-23T01:54:39.8341573Z Test results will be stored in test-reports/python-unittest/test_prims
2022-11-23T01:54:39.8341887Z   test_mul_complex (__main__.TestPrimsBasic) ... ok (0.002s)
2022-11-23T01:54:39.8342173Z   test_torch_ops (__main__.TestPrimsBasic) ... ok (0.003s)
2022-11-23T01:54:39.8342319Z 
2022-11-23T01:54:39.8342516Z ----------------------------------------------------------------------
2022-11-23T01:54:39.8342884Z Ran 2 tests in 0.004s
2022-11-23T01:54:39.8343002Z 
2022-11-23T01:54:39.8343064Z OK
2022-11-23T01:54:39.8343357Z 
2022-11-23T01:54:39.8343431Z Generating XML reports...
2022-11-23T01:54:39.8343850Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestPrimsBasic-20221123015439.xml
2022-11-23T01:54:39.8344075Z 
2022-11-23T01:54:39.8344357Z ##[endgroup]
2022-11-23T01:54:39.8344710Z FINISHED PRINTING LOG FILE of test_prims (/var/lib/jenkins/workspace/test/test-reports/test_prims_gt3r31kj)
2022-11-23T01:54:39.8344981Z 
2022-11-23T01:54:39.8345155Z Running test_reductions ... [2022-11-23 01:54:39.834113]
2022-11-23T01:54:39.8345623Z Executing ['/opt/conda/bin/python', '-bb', 'test_reductions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:39.834375]
2022-11-23T01:54:42.4644328Z 
2022-11-23T01:54:42.4644876Z Expand the folded group to see the log file of test_reductions
2022-11-23T01:54:42.4645999Z ##[group]PRINTING LOG FILE of test_reductions (/var/lib/jenkins/workspace/test/test-reports/test_reductions_utdwxngi)
2022-11-23T01:54:42.4646318Z 
2022-11-23T01:54:42.4646423Z Running tests...
2022-11-23T01:54:42.4646914Z ----------------------------------------------------------------------
2022-11-23T01:54:42.4647089Z 
2022-11-23T01:54:42.4647286Z ----------------------------------------------------------------------
2022-11-23T01:54:42.4647524Z Ran 0 tests in 0.000s
2022-11-23T01:54:42.4647626Z 
2022-11-23T01:54:42.4647698Z OK
2022-11-23T01:54:42.4647790Z 
2022-11-23T01:54:42.4647876Z Generating XML reports...
2022-11-23T01:54:42.4648207Z Test results will be stored in test-reports/python-unittest/test_reductions
2022-11-23T01:54:42.4648386Z 
2022-11-23T01:54:42.4648596Z ##[endgroup]
2022-11-23T01:54:42.4649023Z FINISHED PRINTING LOG FILE of test_reductions (/var/lib/jenkins/workspace/test/test-reports/test_reductions_utdwxngi)
2022-11-23T01:54:42.4649296Z 
2022-11-23T01:54:42.4649475Z Running test_show_pickle ... [2022-11-23 01:54:42.464507]
2022-11-23T01:54:42.4649954Z Executing ['/opt/conda/bin/python', '-bb', 'test_show_pickle.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:42.464802]
2022-11-23T01:54:44.4163302Z 
2022-11-23T01:54:44.4163834Z Expand the folded group to see the log file of test_show_pickle
2022-11-23T01:54:44.4164823Z ##[group]PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_m8f1au5v)
2022-11-23T01:54:44.4165165Z 
2022-11-23T01:54:44.4165272Z Running tests...
2022-11-23T01:54:44.4165803Z ----------------------------------------------------------------------
2022-11-23T01:54:44.4166387Z Test results will be stored in test-reports/python-unittest/test_show_pickle
2022-11-23T01:54:44.4166835Z   test_scripted_model (__main__.TestShowPickle) ... ok (0.245s)
2022-11-23T01:54:44.4167075Z 
2022-11-23T01:54:44.4167369Z ----------------------------------------------------------------------
2022-11-23T01:54:44.4167748Z Ran 1 test in 0.245s
2022-11-23T01:54:44.4167919Z 
2022-11-23T01:54:44.4168010Z OK
2022-11-23T01:54:44.4168138Z 
2022-11-23T01:54:44.4168275Z Generating XML reports...
2022-11-23T01:54:44.4168883Z Generated XML report: test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20221123015443.xml
2022-11-23T01:54:44.4169195Z 
2022-11-23T01:54:44.4169468Z ##[endgroup]
2022-11-23T01:54:44.4169859Z FINISHED PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_m8f1au5v)
2022-11-23T01:54:44.4170063Z 
2022-11-23T01:54:44.4170241Z Running test_sparse_csr ... [2022-11-23 01:54:44.416454]
2022-11-23T01:54:44.4170800Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse_csr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:44.416734]
2022-11-23T01:54:47.4754621Z 
2022-11-23T01:54:47.4755069Z Expand the folded group to see the log file of test_sparse_csr
2022-11-23T01:54:47.4756115Z ##[group]PRINTING LOG FILE of test_sparse_csr (/var/lib/jenkins/workspace/test/test-reports/test_sparse_csr_s3vb8p1z)
2022-11-23T01:54:47.4756386Z 
2022-11-23T01:54:47.4756472Z Running tests...
2022-11-23T01:54:47.4757152Z ----------------------------------------------------------------------
2022-11-23T01:54:47.4757656Z Test results will be stored in test-reports/python-unittest/test_sparse_csr
2022-11-23T01:54:47.4757973Z   test_make_crow_indices (__main__.TestSparseCSRSampler) ... ok (0.407s)
2022-11-23T01:54:47.4758147Z 
2022-11-23T01:54:47.4758345Z ----------------------------------------------------------------------
2022-11-23T01:54:47.4758598Z Ran 1 test in 0.407s
2022-11-23T01:54:47.4758709Z 
2022-11-23T01:54:47.4758771Z OK
2022-11-23T01:54:47.4758861Z 
2022-11-23T01:54:47.4758946Z Generating XML reports...
2022-11-23T01:54:47.4759522Z Generated XML report: test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20221123015446.xml
2022-11-23T01:54:47.4759757Z 
2022-11-23T01:54:47.4759992Z ##[endgroup]
2022-11-23T01:54:47.4760374Z FINISHED PRINTING LOG FILE of test_sparse_csr (/var/lib/jenkins/workspace/test/test-reports/test_sparse_csr_s3vb8p1z)
2022-11-23T01:54:47.4760588Z 
2022-11-23T01:54:47.4760775Z Running test_tensor_creation_ops ... [2022-11-23 01:54:47.475531]
2022-11-23T01:54:47.4761255Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensor_creation_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:47.475801]
2022-11-23T01:54:49.4181895Z 
2022-11-23T01:54:49.4182482Z Expand the folded group to see the log file of test_tensor_creation_ops
2022-11-23T01:54:49.4183517Z ##[group]PRINTING LOG FILE of test_tensor_creation_ops (/var/lib/jenkins/workspace/test/test-reports/test_tensor_creation_ops_n8ibsksa)
2022-11-23T01:54:49.4192360Z 
2022-11-23T01:54:49.4192509Z Running tests...
2022-11-23T01:54:49.4192948Z ----------------------------------------------------------------------
2022-11-23T01:54:49.4193126Z 
2022-11-23T01:54:49.4193323Z ----------------------------------------------------------------------
2022-11-23T01:54:49.4193560Z Ran 0 tests in 0.000s
2022-11-23T01:54:49.4193674Z 
2022-11-23T01:54:49.4193723Z OK
2022-11-23T01:54:49.4193814Z 
2022-11-23T01:54:49.4193907Z Generating XML reports...
2022-11-23T01:54:49.4194258Z Test results will be stored in test-reports/python-unittest/test_tensor_creation_ops
2022-11-23T01:54:49.4194533Z 
2022-11-23T01:54:49.4194802Z ##[endgroup]
2022-11-23T01:54:49.4195223Z FINISHED PRINTING LOG FILE of test_tensor_creation_ops (/var/lib/jenkins/workspace/test/test-reports/test_tensor_creation_ops_n8ibsksa)
2022-11-23T01:54:49.4195452Z 
2022-11-23T01:54:49.4195625Z Running test_tensorexpr ... [2022-11-23 01:54:49.418320]
2022-11-23T01:54:49.4196098Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorexpr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:54:49.418554]
2022-11-23T01:55:36.2991024Z 
2022-11-23T01:55:36.2991433Z Expand the folded group to see the log file of test_tensorexpr
2022-11-23T01:55:36.2992213Z ##[group]PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_4se_paxi)
2022-11-23T01:55:36.2992579Z 
2022-11-23T01:55:36.2992720Z Running tests...
2022-11-23T01:55:36.2993277Z ----------------------------------------------------------------------
2022-11-23T01:55:36.2993988Z Test results will be stored in test-reports/python-unittest/test_tensorexpr
2022-11-23T01:55:36.2994495Z   test_add_const_rhs (__main__.TestTensorExprFuser) ... ok (0.283s)
2022-11-23T01:55:36.2994993Z   test_add_sub (__main__.TestTensorExprFuser) ... ok (0.037s)
2022-11-23T01:55:36.2995534Z   test_alias_analysis_input_and_module (__main__.TestTensorExprFuser) ... ok (0.047s)
2022-11-23T01:55:36.2995894Z   test_alias_analysis_inputs (__main__.TestTensorExprFuser) ... ok (0.010s)
2022-11-23T01:55:36.2996242Z   test_alias_analysis_module (__main__.TestTensorExprFuser) ... ok (0.130s)
2022-11-23T01:55:36.2996534Z   test_all_combos (__main__.TestTensorExprFuser) ... ok (0.039s)
2022-11-23T01:55:36.2996846Z   test_alpha (__main__.TestTensorExprFuser) ... ok (0.026s)
2022-11-23T01:55:36.2997148Z   test_binary_ops (__main__.TestTensorExprFuser) ... ok (1.486s)
2022-11-23T01:55:36.2997637Z   test_bitwise_ops (__main__.TestTensorExprFuser) ... ok (0.163s)
2022-11-23T01:55:36.2997917Z   test_broadcast (__main__.TestTensorExprFuser) ... ok (0.040s)
2022-11-23T01:55:36.2998227Z   test_broadcast3 (__main__.TestTensorExprFuser) ... ok (0.148s)
2022-11-23T01:55:36.3001039Z   test_broadcast_2 (__main__.TestTensorExprFuser) ... ok (0.034s)
2022-11-23T01:55:36.3001627Z   test_broadcast_big2 (__main__.TestTensorExprFuser) ... ok (0.047s)
2022-11-23T01:55:36.3002175Z   test_cat (__main__.TestTensorExprFuser) ... ok (3.367s)
2022-11-23T01:55:36.3002719Z   test_cat_empty_tensors (__main__.TestTensorExprFuser) ... ok (0.117s)
2022-11-23T01:55:36.3003444Z   test_cat_negative_dim (__main__.TestTensorExprFuser) ... ok (0.075s)
2022-11-23T01:55:36.3004026Z   test_cat_only (__main__.TestTensorExprFuser) ... skip: cat is broken with fusion group inlining disabled (0.001s)
2022-11-23T01:55:36.3004625Z   test_cat_promote_inputs (__main__.TestTensorExprFuser) ... ok (0.132s)
2022-11-23T01:55:36.3005161Z   test_cat_with_constant_dim (__main__.TestTensorExprFuser) ... ok (0.047s)
2022-11-23T01:55:36.3005635Z   test_char (__main__.TestTensorExprFuser) ... ok (0.029s)
2022-11-23T01:55:36.3006064Z   test_chunk (__main__.TestTensorExprFuser) ... ok (0.219s)
2022-11-23T01:55:36.3006514Z   test_clamp (__main__.TestTensorExprFuser) ... ok (0.038s)
2022-11-23T01:55:36.3006963Z   test_constant (__main__.TestTensorExprFuser) ... ok (0.028s)
2022-11-23T01:55:36.3007443Z   test_double (__main__.TestTensorExprFuser) ... ok (0.027s)
2022-11-23T01:55:36.3007940Z   test_double_intrinsics (__main__.TestTensorExprFuser) ... ok (0.033s)
2022-11-23T01:55:36.3008516Z   test_dynamic_shape (__main__.TestTensorExprFuser) ... skip: dynamic shapes are not quite there yet (0.001s)
2022-11-23T01:55:36.3009050Z   test_easy (__main__.TestTensorExprFuser) ... ok (0.037s)
2022-11-23T01:55:36.3009490Z   test_eq (__main__.TestTensorExprFuser) ... ok (0.064s)
2022-11-23T01:55:36.3009942Z   test_exp_pow (__main__.TestTensorExprFuser) ... ok (0.060s)
2022-11-23T01:55:36.3010421Z   test_four_arg (__main__.TestTensorExprFuser) ... ok (0.039s)
2022-11-23T01:55:36.3010848Z   test_ge (__main__.TestTensorExprFuser) ... ok (0.066s)
2022-11-23T01:55:36.3011282Z   test_gt (__main__.TestTensorExprFuser) ... ok (0.066s)
2022-11-23T01:55:36.3011750Z   test_guard_fails (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.001s)
2022-11-23T01:55:36.3012226Z   test_half_bn_relu (__main__.TestTensorExprFuser) ... ok (0.001s)
2022-11-23T01:55:36.3012693Z   test_half_gelu (__main__.TestTensorExprFuser) ... ok (0.004s)
2022-11-23T01:55:36.3013176Z   test_int64_promotion (__main__.TestTensorExprFuser) ... ok (0.028s)
2022-11-23T01:55:36.3013636Z   test_int_output (__main__.TestTensorExprFuser) ... ok (0.028s)
2022-11-23T01:55:36.3014093Z   test_le (__main__.TestTensorExprFuser) ... ok (0.068s)
2022-11-23T01:55:36.3014542Z   test_loop (__main__.TestTensorExprFuser) ... ok (0.079s)
2022-11-23T01:55:36.3014959Z   test_lt (__main__.TestTensorExprFuser) ... ok (0.066s)
2022-11-23T01:55:36.3015435Z   test_mask (__main__.TestTensorExprFuser) ... ok (0.027s)
2022-11-23T01:55:36.3015897Z   test_min_max (__main__.TestTensorExprFuser) ... ok (0.041s)
2022-11-23T01:55:36.3016391Z   test_min_max_reduction (__main__.TestTensorExprFuser) ... ok (0.028s)
2022-11-23T01:55:36.3017142Z   test_min_max_reduction2 (__main__.TestTensorExprFuser) ... ok (0.027s)
2022-11-23T01:55:36.3017673Z   test_min_max_reduction_dim1 (__main__.TestTensorExprFuser) ... ok (0.030s)
2022-11-23T01:55:36.3018218Z   test_min_max_reduction_dim1_2 (__main__.TestTensorExprFuser) ... ok (0.042s)
2022-11-23T01:55:36.3018720Z   test_multi_rand (__main__.TestTensorExprFuser) ... ok (0.054s)
2022-11-23T01:55:36.3019221Z   test_multioutput (__main__.TestTensorExprFuser) ... ok (0.037s)
2022-11-23T01:55:36.3019731Z   test_multiple_outputs (__main__.TestTensorExprFuser) ... ok (0.183s)
2022-11-23T01:55:36.3020219Z   test_nans (__main__.TestTensorExprFuser) ... ok (0.104s)
2022-11-23T01:55:36.3020791Z   test_ne (__main__.TestTensorExprFuser) ... ok (0.065s)
2022-11-23T01:55:36.3021261Z   test_promotion (__main__.TestTensorExprFuser) ... ok (0.034s)
2022-11-23T01:55:36.3021796Z   test_propagated_mem_layout (__main__.TestTensorExprFuser) ... ok (31.771s)
2022-11-23T01:55:36.3022288Z   test_rand_like (__main__.TestTensorExprFuser) ... ok (0.066s)
2022-11-23T01:55:36.3022769Z   test_rank_two (__main__.TestTensorExprFuser) ... ok (0.045s)
2022-11-23T01:55:36.3023249Z   test_relu (__main__.TestTensorExprFuser) ... ok (0.038s)
2022-11-23T01:55:36.3023713Z   test_remainder (__main__.TestTensorExprFuser) ... ok (0.261s)
2022-11-23T01:55:36.3024198Z   test_reps (__main__.TestTensorExprFuser) ... ok (0.043s)
2022-11-23T01:55:36.3024748Z   test_scalar (__main__.TestTensorExprFuser) ... ok (0.110s)
2022-11-23T01:55:36.3025200Z   test_short (__main__.TestTensorExprFuser) ... ok (0.030s)
2022-11-23T01:55:36.3025656Z   test_simple_add (__main__.TestTensorExprFuser) ... ok (0.017s)
2022-11-23T01:55:36.3026145Z   test_slice (__main__.TestTensorExprFuser) ... ok (0.058s)
2022-11-23T01:55:36.3026607Z   test_sliced_stride (__main__.TestTensorExprFuser) ... ok (0.109s)
2022-11-23T01:55:36.3027100Z   test_softmax_cpu (__main__.TestTensorExprFuser) ... ok (0.668s)
2022-11-23T01:55:36.3027614Z   test_softmax_cuda (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.000s)
2022-11-23T01:55:36.3028179Z   test_strided_output_preserved (__main__.TestTensorExprFuser) ... ok (0.113s)
2022-11-23T01:55:36.3028675Z   test_three_arg (__main__.TestTensorExprFuser) ... ok (0.037s)
2022-11-23T01:55:36.3029152Z   test_three_arg2 (__main__.TestTensorExprFuser) ... ok (0.041s)
2022-11-23T01:55:36.3029649Z   test_transpose (__main__.TestTensorExprFuser) ... ok (0.164s)
2022-11-23T01:55:36.3030145Z   test_unary_ops (__main__.TestTensorExprFuser) ... ok (3.227s)
2022-11-23T01:55:36.3030599Z   test_unsqueeze (__main__.TestTensorExprFuser) ... ok (0.062s)
2022-11-23T01:55:36.3031073Z   test_where (__main__.TestTensorExprFuser) ... ok (0.162s)
2022-11-23T01:55:36.3031339Z 
2022-11-23T01:55:36.3031765Z ----------------------------------------------------------------------
2022-11-23T01:55:36.3032185Z Ran 72 tests in 44.914s
2022-11-23T01:55:36.3032384Z 
2022-11-23T01:55:36.3032498Z OK (skipped=4)
2022-11-23T01:55:36.3032668Z 
2022-11-23T01:55:36.3032804Z Generating XML reports...
2022-11-23T01:55:36.3033588Z Generated XML report: test-reports/python-unittest/test_tensorexpr/TEST-TestTensorExprFuser-20221123015450.xml
2022-11-23T01:55:36.3034006Z 
2022-11-23T01:55:36.3034644Z ##[endgroup]
2022-11-23T01:55:36.3035346Z FINISHED PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_4se_paxi)
2022-11-23T01:55:36.3035729Z 
2022-11-23T01:55:36.3035987Z Running test_torch ... [2022-11-23 01:55:36.299334]
2022-11-23T01:55:36.3036772Z Executing ['/opt/conda/bin/python', '-bb', 'test_torch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:55:36.299637]
2022-11-23T01:55:40.0364915Z 
2022-11-23T01:55:40.0365682Z Expand the folded group to see the log file of test_torch
2022-11-23T01:55:40.0366548Z ##[group]PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_fb558mmj)
2022-11-23T01:55:40.0366853Z 
2022-11-23T01:55:40.0366971Z Running tests...
2022-11-23T01:55:40.0367626Z ----------------------------------------------------------------------
2022-11-23T01:55:40.0368311Z Test results will be stored in test-reports/python-unittest/test_torch
2022-11-23T01:55:40.0368725Z   test_basic_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s)
2022-11-23T01:55:40.0369011Z   test_basic_vitals_read_write (__main__.TestBasicVitalSigns) ... ok (0.001s)
2022-11-23T01:55:40.0369379Z   test_dataloader_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s)
2022-11-23T01:55:40.0369648Z   test_RNGState (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0369943Z   test_RNGStateAliasing (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0370530Z   test_RNG_after_pickle (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0370927Z   test_Size (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0371346Z   test_Size_iter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0371736Z   test_Size_scalar (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0371986Z   test_add_meta_scalar (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0372253Z   test_allow_tensor_metadata_change (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0372500Z   test_apply (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0372853Z   test_as_subclass (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:55:40.0373179Z   test_assert_async (__main__.TestTorch) ... ok (0.019s)
2022-11-23T01:55:40.0373507Z   test_backward_hooks_traverse (__main__.TestTorch) ... ok (0.063s)
2022-11-23T01:55:40.0373786Z   test_batch_norm_cpu_inference (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:55:40.0374548Z   test_bmm_multithreaded (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0375229Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0375895Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0376754Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0377789Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0378829Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0379951Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0381020Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0382288Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0383352Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0384083Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0384688Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0385327Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0385981Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0386728Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0387331Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0387958Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0388570Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0389227Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0389846Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0390498Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0391119Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0391771Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0392420Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0393053Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0393656Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0394308Z /var/lib/jenkins/workspace/test/test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:55:40.0395015Z   torch.bmm(b1, b2, out=res2)
2022-11-23T01:55:40.0395193Z ok (0.657s)
2022-11-23T01:55:40.0395397Z   test_boxMullerState (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0395699Z   test_c10_layer_norm (__main__.TestTorch) ... skip: Pytorch is compiled without Caffe2 (0.001s)
2022-11-23T01:55:40.0395988Z   test_cat_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0396222Z   test_chunk_neg_dim (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:55:40.0396475Z   test_conj_neg_tolist (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0396718Z   test_contains (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0396952Z   test_copy_broadcast (__main__.TestTorch) ... ok (0.006s)
2022-11-23T01:55:40.0397202Z   test_copy_dtypes (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0397451Z   test_copy_float16 (__main__.TestTorch) ... ok (0.090s)
2022-11-23T01:55:40.0397699Z   test_copy_many_to_one (__main__.TestTorch) ... ok (0.006s)
2022-11-23T01:55:40.0398404Z   test_copy_transpose (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:7647: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:55:40.0398895Z   x = torch.arange(100 * 100).reshape(100, 100).to(dtype=torch.complex32).t()
2022-11-23T01:55:40.0399121Z ok (0.003s)
2022-11-23T01:55:40.0399478Z   test_cuda_not_built (__main__.TestTorch) ... skip: CUDA is built, can't test CUDA not built error (0.001s)
2022-11-23T01:55:40.0399771Z   test_cummax_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0400022Z   test_cummin_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0400270Z   test_cumprod_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0400510Z   test_cumsum_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0400752Z   test_cxx_flags (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0401056Z   test_dead_weak_ref (__main__.TestTorch) ... [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:55:40.0401334Z [TORCH_VITAL] CUDA.used		 False
2022-11-23T01:55:40.0401563Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:55:40.0401797Z [TORCH_VITAL] CUDA.used		 False
2022-11-23T01:55:40.0402013Z [TORCH_VITAL] Dataloader.enabled		 True
2022-11-23T01:55:40.0402257Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:55:40.0402490Z [TORCH_VITAL] CUDA.used		 False
2022-11-23T01:55:40.0403191Z [W python_variable.cpp:318] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2022-11-23T01:55:40.0403679Z ok (0.004s)
2022-11-23T01:55:40.0403888Z   test_deepcopy_gradient (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0404157Z   test_deepcopy_parameter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0404426Z   test_deterministic_flag (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0404661Z   test_device (__main__.TestTorch) ... ok (0.020s)
2022-11-23T01:55:40.0404890Z   test_dir (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0405113Z   test_doc (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0405324Z   test_doc_template (__main__.TestTorch)
2022-11-23T01:55:40.0405649Z Test that all public API doc strings use the same standard template for ... ok (0.019s)
2022-11-23T01:55:40.0405936Z   test_dot_data_use (__main__.TestTorch) ... ok (0.012s)
2022-11-23T01:55:40.0406185Z   test_dtype_is_signed (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:55:40.0406875Z   test_element_size (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:55:40.0407347Z   warnings.warn(message, UserWarning)
2022-11-23T01:55:40.0407543Z ok (0.003s)
2022-11-23T01:55:40.0407732Z   test_empty_meta (__main__.TestTorch) ... ok (0.007s)
2022-11-23T01:55:40.0407982Z   test_empty_storage_view (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0408225Z   test_equal (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0408479Z   test_error_msg_type_translation (__main__.TestTorch) ... ok (0.011s)
2022-11-23T01:55:40.0408733Z   test_fill_diagonal (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0408986Z   test_format_scalar_meta (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0409234Z   test_from_buffer (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:55:40.0409462Z   test_from_file (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:55:40.0409710Z   test_gather_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0409957Z   test_generator_cpu (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0410204Z   test_has_internal_overlap (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0410458Z   test_has_storage (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0410697Z   test_index_add (__main__.TestTorch) ... ok (0.016s)
2022-11-23T01:55:40.0410955Z   test_index_add_all_dtypes (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:55:40.0411202Z   test_index_add_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0411477Z   test_index_copy_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0411797Z   test_index_fill_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0412042Z   test_index_select_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0412308Z   test_invalid_generator_raises (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0412569Z   test_is_nonzero (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:55:40.0413053Z   test_is_same_size (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:5704: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:55:40.0413569Z   nt1 = torch.nested.nested_tensor([torch.ones(2, 4), torch.ones(3, 4), torch.ones(5, 4)])
2022-11-23T01:55:40.0413806Z ok (0.006s)
2022-11-23T01:55:40.0414003Z   test_iter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0414238Z   test_kthvalue_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0414497Z   test_logcumsumexp_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0414756Z   test_manual_seed (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:55:40.0414977Z   test_map (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0415241Z   test_map2 (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0415477Z   test_max_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0415717Z   test_mean_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0415949Z   test_median_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0416197Z   test_memory_format (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0416659Z   test_memory_format_contiguous_returns_same_tensor_if_already_satisfies (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0416962Z   test_memory_format_empty (__main__.TestTorch) ... ok (0.010s)
2022-11-23T01:55:40.0417214Z   test_min_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0417521Z   test_mode_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0417839Z   test_multinomial_invalid_probs (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:55:40.0418170Z   test_nanmedian_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0418426Z   test_narrow_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0418662Z   test_ndim (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0418875Z   test_new (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:55:40.0419127Z   test_newaxis_numpy_comparison (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:55:40.0419386Z   test_newindex (__main__.TestTorch) ... ok (0.007s)
2022-11-23T01:55:40.0419617Z   test_norm_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0419864Z   test_normal_shape (__main__.TestTorch) ... ok (0.026s)
2022-11-23T01:55:40.0420100Z   test_numel (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0420329Z   test_parallel_info (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0420581Z   test_parsing_double (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0420830Z   test_parsing_int64 (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0421368Z   test_parsing_intlist (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:6185: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
2022-11-23T01:55:40.0422077Z Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
2022-11-23T01:55:40.0422452Z   self.assertRaises(TypeError, lambda: torch.ones((np.float(3.), torch.tensor(4))))
2022-11-23T01:55:40.0422699Z ok (0.003s)
2022-11-23T01:55:40.0422901Z   test_permute (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0423127Z   test_pickle (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0423371Z   test_pickle_dtype (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0423622Z   test_pickle_function (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0423867Z   test_pickle_parameter (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0424146Z   test_pickle_parameter_no_requires_grad (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0424415Z   test_pickle_size (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0424644Z   test_pin_memory (__main__.TestTorch) ... ok (0.012s)
2022-11-23T01:55:40.0424881Z   test_print (__main__.TestTorch) ... ok (0.041s)
2022-11-23T01:55:40.0425121Z   test_prod_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0425373Z   test_pyobj_preserved (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0425604Z   test_qengine (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0425850Z   test_renorm_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0426110Z   test_resurrected_weak_ref (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0426349Z   test_reversed (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0426593Z   test_scatter_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0426886Z   test_select_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0427168Z   test_set_flush_denormal (__main__.TestTorch) ... skip: flush_denormal not supported (0.001s)
2022-11-23T01:55:40.0427475Z   test_setting_real_imag_to_a_number (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0427737Z   test_show_config (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0427981Z   test_size_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0428658Z   test_sizeof (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:55:40.0429147Z   warnings.warn(message, UserWarning)
2022-11-23T01:55:40.0429342Z ok (0.001s)
2022-11-23T01:55:40.0429525Z   test_slice (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0429845Z   test_slow_test (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:55:40.0430145Z   test_sobolengine_bounds (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0430417Z   test_sobolengine_bounds_scrambled (__main__.TestTorch) ... ok (0.012s)
2022-11-23T01:55:40.0430692Z   test_sobolengine_continuing (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0430976Z   test_sobolengine_continuing_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0431253Z   test_sobolengine_distribution (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:55:40.0431544Z   test_sobolengine_distribution_scrambled (__main__.TestTorch) ... ok (0.006s)
2022-11-23T01:55:40.0431825Z   test_sobolengine_draw (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0432073Z   test_sobolengine_draw_base2 (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0432349Z   test_sobolengine_draw_base2_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0432634Z   test_sobolengine_draw_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0432911Z   test_sobolengine_fast_forward (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0433187Z   test_sobolengine_fast_forward_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0433476Z   test_sobolengine_first_point (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0433751Z   test_sobolengine_high_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:55:40.0434004Z   test_sobolengine_raise (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0434264Z   test_sobolengine_reset (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0434609Z   test_sobolengine_reset_scrambled (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0434868Z   test_sort_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0435120Z   test_split_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:55:40.0435371Z   test_squeeze_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:55:40.0435620Z   test_std_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0435855Z   test_storage_casts (__main__.TestTorch) ... ok (0.010s)
2022-11-23T01:55:40.0436104Z   test_storage_error (__main__.TestTorch) ... ok (0.025s)
2022-11-23T01:55:40.0436368Z   test_storage_error_no_attribute (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0436623Z   test_structseq_repr (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0436880Z   test_subclass_preserved (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0437143Z   test_subclass_tensors (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0437380Z   test_sum_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0437632Z   test_t_not_2d_error (__main__.TestTorch) ... ok (0.009s)
2022-11-23T01:55:40.0437885Z   test_tensor_base_init (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0438139Z   test_tensor_base_new (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0438379Z   test_tensor_ctor_scalar (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0438675Z   test_tensor_cycle_via_dict (__main__.TestTorch) ... ok (0.111s)
2022-11-23T01:55:40.0438944Z   test_tensor_cycle_via_slots (__main__.TestTorch) ... ok (0.051s)
2022-11-23T01:55:40.0439194Z   test_tensor_dict_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0439466Z   test_tensor_finalizer_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0439721Z   test_tensor_set (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:55:40.0439955Z   test_tensor_set_errors (__main__.TestTorch) ... ok (0.005s)
2022-11-23T01:55:40.0440214Z   test_tensor_slot_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0440525Z   test_tensor_weakref_dealloc (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0440808Z   test_tensoriterator_output_setup (__main__.TestTorch) ... ok (0.116s)
2022-11-23T01:55:40.0441410Z   test_to (__main__.TestTorch) ... /var/lib/jenkins/workspace/test/test_torch.py:7733: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:55:40.0441965Z   a = torch.tensor([[0, 1, 2], [2, 0, 3]]).to_sparse_csr()
2022-11-23T01:55:40.0442162Z ok (0.004s)
2022-11-23T01:55:40.0442371Z   test_to_with_tensor (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0442603Z   test_topk_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0442850Z   test_torch_from_file (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:55:40.0443106Z   test_transpose_neg_dim (__main__.TestTorch) ... ok (0.004s)
2022-11-23T01:55:40.0443335Z   test_type (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0443569Z   test_type_alias (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0443835Z   test_type_conversion_via_dtype_name (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:55:40.0444118Z   test_typed_storage_deprecation_warning (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0444883Z   test_typed_storage_internal_no_warning (__main__.TestTorch) ... /opt/conda/lib/python3.10/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:55:40.0445371Z   warnings.warn(message, UserWarning)
2022-11-23T01:55:40.0445566Z ok (0.002s)
2022-11-23T01:55:40.0445763Z   test_unbind_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0446004Z   test_unflatten (__main__.TestTorch) ... ok (0.022s)
2022-11-23T01:55:40.0446252Z   test_unfold_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0446488Z   test_unsqueeze_neg_dim (__main__.TestTorch) ... ok (0.003s)
2022-11-23T01:55:40.0446756Z   test_upsample_nearest1d_meta (__main__.TestTorch) ... ok (0.012s)
2022-11-23T01:55:40.0447032Z   test_upsample_nearest2d_meta (__main__.TestTorch) ... ok (0.014s)
2022-11-23T01:55:40.0447289Z   test_var_neg_dim (__main__.TestTorch) ... ok (0.002s)
2022-11-23T01:55:40.0447524Z   test_wildcard_import (__main__.TestTorch) ... ok (0.001s)
2022-11-23T01:55:40.0447670Z 
2022-11-23T01:55:40.0447874Z ----------------------------------------------------------------------
2022-11-23T01:55:40.0448115Z Ran 177 tests in 1.690s
2022-11-23T01:55:40.0448229Z 
2022-11-23T01:55:40.0448287Z OK (skipped=5)
2022-11-23T01:55:40.0448392Z 
2022-11-23T01:55:40.0448475Z Generating XML reports...
2022-11-23T01:55:40.0448887Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221123015537.xml
2022-11-23T01:55:40.0449374Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorch-20221123015537.xml
2022-11-23T01:55:40.0449667Z [TORCH_VITAL] Dataloader.enabled		 True
2022-11-23T01:55:40.0449929Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-11-23T01:55:40.0450194Z [TORCH_VITAL] CUDA.used		 False
2022-11-23T01:55:40.0450319Z 
2022-11-23T01:55:40.0450597Z ##[endgroup]
2022-11-23T01:55:40.0450964Z FINISHED PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_fb558mmj)
2022-11-23T01:55:40.0451171Z 
2022-11-23T01:55:40.0451322Z Running doctests ... [2022-11-23 01:55:40.036926]
2022-11-23T01:55:40.0625635Z Start doctest_module('/opt/conda/lib/python3.10/site-packages/torch')
2022-11-23T01:55:40.0625901Z Listing tests
2022-11-23T01:55:42.1686834Z msg = Cannot scrape callname=parallelize_module in modpath=/opt/conda/lib/python3.10/site-packages/torch/distributed/_tensor/parallel/api.py line=28.
2022-11-23T01:55:42.1687618Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2022-11-23T01:55:42.1687801Z 
2022-11-23T01:55:42.1687978Z The API to apply Tensor Parallelism (TP) in PyTorch. We parallelize module
2022-11-23T01:55:42.1688296Z or sub_modules based on a parallelize_plan which contains the parallel_style
2022-11-23T01:55:42.1688611Z which indicates how user want the module or sub_module to be parallelized.
2022-11-23T01:55:42.1688922Z User can also specify different parallel_style per module fully qualifed name (FQN).
2022-11-23T01:55:42.1689324Z The API supports 2D parallelism natively by accepting an n-dimension device_mesh
2022-11-23T01:55:42.1689656Z and users just need to specify the dimension where we perform tensor parallelism on.
2022-11-23T01:55:42.1689841Z 
2022-11-23T01:55:42.1689902Z Args:
2022-11-23T01:55:42.1690056Z     module (nn.Module):
2022-11-23T01:55:42.1690275Z         :class:`nn.Module` object to be parallelized.
2022-11-23T01:55:42.1690497Z     device_mesh (DeviceMesh):
2022-11-23T01:55:42.1690733Z         :class:`DeviceMesh` object which describes the mesh topology
2022-11-23T01:55:42.1690974Z         of devices for the DTensor.
2022-11-23T01:55:42.1691232Z     parallelize_plan (Union[ParallelStyle, Dict[str, ParallelStyle]]):
2022-11-23T01:55:42.1691514Z         The plan used to parallelize the module. It can be either a
2022-11-23T01:55:42.1691788Z         :class:`ParallelStyle` object which contains how
2022-11-23T01:55:42.1692060Z         we prepare input/output for Tensor Parallelism or it can be a
2022-11-23T01:55:42.1692361Z         dict of module FQN and its corresponding :class:`ParallelStyle` object.
2022-11-23T01:55:42.1692593Z     tp_mesh_dim (int):
2022-11-23T01:55:42.1692813Z         the dimension of ``device_mesh`` where we perform
2022-11-23T01:55:42.1693036Z         Tensor Parallelism on.
2022-11-23T01:55:42.1693145Z 
2022-11-23T01:55:42.1693209Z Return:
2022-11-23T01:55:42.1693404Z     A :class:`nn.Module` object parallelized.
2022-11-23T01:55:42.1693543Z 
2022-11-23T01:55:42.1693629Z Example::
2022-11-23T01:55:42.1693806Z     >>> # xdoctest: +SKIP("distributed")
2022-11-23T01:55:42.1694108Z     >>> from from torch.distributed._tensor.parallel import parallelize_module, PairwiseParallel
2022-11-23T01:55:42.1694364Z     >>>
2022-11-23T01:55:42.1694516Z     >>> # Define the module.
2022-11-23T01:55:42.1694696Z     >>> m = Model(...)
2022-11-23T01:55:42.1694918Z     >>> m = parallelize_module(m, PairwiseParallel())
2022-11-23T01:55:42.1695107Z     >>>
2022-11-23T01:55:42.1695198Z 
2022-11-23T01:55:42.1695267Z .. warning::
2022-11-23T01:55:42.1695504Z     ``PairwiseParallel`` comes with constraints for now. If you need finer
2022-11-23T01:55:42.1695820Z     granularity, you need to pass in a dict of module FQN and parallel style instead.
2022-11-23T01:55:42.1695988Z 
2022-11-23T01:55:42.1696359Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 6, 'from from torch.distributed._tensor.parallel import parallelize_module, PairwiseParallel\n', 2, 10))
2022-11-23T01:55:42.1696811Z 
2022-11-23T01:55:42.1696983Z from from torch.distributed._tensor.parallel import parallelize_module, PairwiseParallel
2022-11-23T01:55:42.1697235Z      ^
2022-11-23T01:55:44.0467982Z msg = Cannot scrape callname=DiagnosticEngine in modpath=/opt/conda/lib/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/engine.py line=13.
2022-11-23T01:55:44.0468517Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2022-11-23T01:55:44.0468788Z A generic diagnostic engine based on SARIF.
2022-11-23T01:55:44.0468946Z 
2022-11-23T01:55:44.0469122Z     This class is the main interface for diagnostics. It manages the creation of diagnostic contexts.
2022-11-23T01:55:44.0469467Z     A DiagnosticContext provides the entry point for recording Diagnostics.
2022-11-23T01:55:44.0469757Z     See infra.DiagnosticContext for more details.
2022-11-23T01:55:44.0469908Z 
2022-11-23T01:55:44.0469965Z     Examples:
2022-11-23T01:55:44.0470152Z         Step 1: Create a set of rules.
2022-11-23T01:55:44.0470457Z         >>> rules = infra.RuleCollection.from_list(
2022-11-23T01:55:44.0470692Z         ...     "CustomRuleCollection",
2022-11-23T01:55:44.0470872Z         ...     [
2022-11-23T01:55:44.0471046Z         ...         infra.Rule(
2022-11-23T01:55:44.0471225Z         ...             id="r1",
2022-11-23T01:55:44.0471444Z         ...             name="rule-1",
2022-11-23T01:55:44.0471668Z         ...             message_default_template="Mising xxx",
2022-11-23T01:55:44.0471869Z         ...         ),
2022-11-23T01:55:44.0472020Z         ...     ],
2022-11-23T01:55:44.0472177Z         ... )
2022-11-23T01:55:44.0472275Z 
2022-11-23T01:55:44.0472375Z         Step 2: Create a diagnostic engine.
2022-11-23T01:55:44.0472579Z         >>> engine = DiagnosticEngine()
2022-11-23T01:55:44.0472704Z 
2022-11-23T01:55:44.0472807Z         Step 3: Start a new diagnostic context.
2022-11-23T01:55:44.0473099Z         >>> with engine.create_diagnostic_context("torch.onnx.export", version="1.0") as context:
2022-11-23T01:55:44.0473288Z 
2022-11-23T01:55:44.0473389Z         Step 4: Add diagnostics in your code.
2022-11-23T01:55:44.0473634Z         ...     context.diagnose(rules.rule1, infra.Level.ERROR)
2022-11-23T01:55:44.0473791Z 
2022-11-23T01:55:44.0473893Z         Step 5: Afterwards, get the SARIF log.
2022-11-23T01:55:44.0474118Z         >>> sarif_log = engine.sarif_log()
2022-11-23T01:55:44.0474286Z     
2022-11-23T01:55:44.0474877Z Original Error: IndentationError("expected an indented block after 'with' statement on line 1", ('<source_block>', 1, 86, 'with engine.create_diagnostic_context("torch.onnx.export", version="1.0") as context:\n', 1, -1))
2022-11-23T01:55:44.0475179Z 
2022-11-23T01:55:44.0475336Z with engine.create_diagnostic_context("torch.onnx.export", version="1.0") as context:
2022-11-23T01:55:44.0475611Z                                                                                      ^
2022-11-23T01:55:46.0915294Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/__init__.py is_tensor:0
2022-11-23T01:55:46.0916035Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/__init__.py set_default_tensor_type:0
2022-11-23T01:55:46.0916721Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/__init__.py set_default_dtype:0
2022-11-23T01:55:46.0917607Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/__init__.py use_deterministic_algorithms:0
2022-11-23T01:55:46.0918475Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so Generator:0
2022-11-23T01:55:46.0919285Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so _LinAlgError:0
2022-11-23T01:55:46.0920100Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_namedtensor_internals.py update_names:0
2022-11-23T01:55:46.0920959Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.register_hook:0
2022-11-23T01:55:46.0921722Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.refine_names:0
2022-11-23T01:55:46.0922470Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.align_to:0
2022-11-23T01:55:46.0923384Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.rename:0
2022-11-23T01:55:46.0924106Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor.py Tensor.to_sparse_coo:0
2022-11-23T01:55:46.0924791Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_tensor_str.py set_printoptions:0
2022-11-23T01:55:46.0925463Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_vmap_internals.py vmap:0
2022-11-23T01:55:46.0926159Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py broadcast_tensors:0
2022-11-23T01:55:46.0926880Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py broadcast_shapes:0
2022-11-23T01:55:46.0927751Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py split:0
2022-11-23T01:55:46.0928177Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py einsum:0
2022-11-23T01:55:46.0928595Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py meshgrid:0
2022-11-23T01:55:46.0929026Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py _unique_impl:0
2022-11-23T01:55:46.0929480Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py _unique_consecutive_impl:0
2022-11-23T01:55:46.0929906Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py tensordot:0
2022-11-23T01:55:46.0930337Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py cartesian_prod:0
2022-11-23T01:55:46.0930766Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py block_diag:0
2022-11-23T01:55:46.0931183Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py cdist:0
2022-11-23T01:55:46.0931591Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py atleast_1d:0
2022-11-23T01:55:46.0932007Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py atleast_2d:0
2022-11-23T01:55:46.0932420Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py atleast_3d:0
2022-11-23T01:55:46.0932819Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py norm:0
2022-11-23T01:55:46.0933235Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py chain_matmul:0
2022-11-23T01:55:46.0933655Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/functional.py _lu_impl:0
2022-11-23T01:55:46.0934051Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py list:0
2022-11-23T01:55:46.0934425Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py help:0
2022-11-23T01:55:46.0934814Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py load:0
2022-11-23T01:55:46.0935207Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py _load_local:0
2022-11-23T01:55:46.0935614Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py download_url_to_file:0
2022-11-23T01:55:46.0936045Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/hub.py load_state_dict_from_url:0
2022-11-23T01:55:46.0936703Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/library.py Library.define:0
2022-11-23T01:55:46.0937153Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/library.py Library.impl:0
2022-11-23T01:55:46.0937584Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py get_ignored_functions:0
2022-11-23T01:55:46.0938034Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py get_testing_overrides:0
2022-11-23T01:55:46.0938489Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py wrap_torch_function:0
2022-11-23T01:55:46.0938933Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py handle_torch_function:0
2022-11-23T01:55:46.0939491Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py is_tensor_method_or_property:0
2022-11-23T01:55:46.0939945Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/overrides.py is_tensor_like:0
2022-11-23T01:55:46.0940378Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/quasirandom.py SobolEngine:0
2022-11-23T01:55:46.0941046Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/serialization.py save:0
2022-11-23T01:55:46.0941456Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/serialization.py load:0
2022-11-23T01:55:46.0941886Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/torch_version.py TorchVersion:0
2022-11-23T01:55:46.0942371Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py Future.then:0
2022-11-23T01:55:46.0942815Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py Future.add_done_callback:0
2022-11-23T01:55:46.0943327Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py Future.set_result:0
2022-11-23T01:55:46.0943946Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py Future.set_exception:0
2022-11-23T01:55:46.0944510Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/futures/__init__.py collect_all:0
2022-11-23T01:55:46.0944927Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/jit/__init__.py annotate:0
2022-11-23T01:55:46.0945352Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/jit/__init__.py strict_fusion:0
2022-11-23T01:55:46.0945819Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/monitor/__init__.py TensorboardEventHandler:0
2022-11-23T01:55:46.0946281Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nested/__init__.py as_nested_tensor:0
2022-11-23T01:55:46.0946694Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/sparse/__init__.py sum:0
2022-11-23T01:55:46.0947134Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_prims/context.py NvfuserPrimsMode:0
2022-11-23T01:55:46.0947582Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/_prims/context.py TorchRefsMode:0
2022-11-23T01:55:46.0948059Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py LinearReLU:0
2022-11-23T01:55:46.0948566Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py LinearReLU:0
2022-11-23T01:55:46.0949090Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py LinearReLU:0
2022-11-23T01:55:46.0949573Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py LSTMCell:0
2022-11-23T01:55:46.0950033Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py LSTM:0
2022-11-23T01:55:46.0950475Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py conv1d:0
2022-11-23T01:55:46.0951018Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py conv2d:0
2022-11-23T01:55:46.0951466Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py conv3d:0
2022-11-23T01:55:46.0951907Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py Quantize:0
2022-11-23T01:55:46.0952376Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py DeQuantize:0
2022-11-23T01:55:46.0952852Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py Conv1d:0
2022-11-23T01:55:46.0953325Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py Conv2d:0
2022-11-23T01:55:46.0953833Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py Conv3d:0
2022-11-23T01:55:46.0954321Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py ConvTranspose1d:0
2022-11-23T01:55:46.0954913Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py ConvTranspose2d:0
2022-11-23T01:55:46.0955416Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py ConvTranspose3d:0
2022-11-23T01:55:46.0955893Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py Linear:0
2022-11-23T01:55:46.0956405Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py LSTM:0
2022-11-23T01:55:46.0956875Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py GRU:0
2022-11-23T01:55:46.0957348Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py RNNCell:0
2022-11-23T01:55:46.0957809Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py LSTMCell:0
2022-11-23T01:55:46.0958283Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py GRUCell:0
2022-11-23T01:55:46.0958754Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py ReLU6:0
2022-11-23T01:55:46.0959218Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py Conv1d:0
2022-11-23T01:55:46.0959659Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py Conv2d:0
2022-11-23T01:55:46.0960114Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py Conv3d:0
2022-11-23T01:55:46.0960590Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py ConvTranspose1d:0
2022-11-23T01:55:46.0961078Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py ConvTranspose2d:0
2022-11-23T01:55:46.0961549Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py ConvTranspose3d:0
2022-11-23T01:55:46.0962036Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py Embedding:0
2022-11-23T01:55:46.0962533Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py EmbeddingBag:0
2022-11-23T01:55:46.0963045Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py FloatFunctional:0
2022-11-23T01:55:46.0963547Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py QFunctional:0
2022-11-23T01:55:46.0964028Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py Linear:0
2022-11-23T01:55:46.0964480Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py LSTM:0
2022-11-23T01:55:46.0965023Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py ActivationSparsifier:0
2022-11-23T01:55:46.0965658Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py BaseDataScheduler.get_schedule_param:0
2022-11-23T01:55:46.0966268Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py BaseDataSparsifier:0
2022-11-23T01:55:46.0966828Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py LambdaSL:0
2022-11-23T01:55:46.0967337Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py BaseSparsifier:0
2022-11-23T01:55:46.0967866Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py BaseSparsifier.squash_mask:0
2022-11-23T01:55:46.0968374Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py fuse_modules:0
2022-11-23T01:55:46.0968863Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py fuse_conv_bn:0
2022-11-23T01:55:46.0969402Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py fuse_conv_bn_relu:0
2022-11-23T01:55:46.0969896Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py fuse_linear_bn:0
2022-11-23T01:55:46.0970411Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py fuse_convtranspose_bn:0
2022-11-23T01:55:46.0970898Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py _with_args:0
2022-11-23T01:55:46.0971368Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/observer.py _with_callable_args:0
2022-11-23T01:55:46.0971820Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py fuse_fx:0
2022-11-23T01:55:46.0972282Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py prepare_fx:0
2022-11-23T01:55:46.0972760Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py prepare_qat_fx:0
2022-11-23T01:55:46.0973216Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py convert_fx:0
2022-11-23T01:55:46.0973707Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py convert_to_reference_fx:0
2022-11-23T01:55:46.0974222Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py _convert_to_reference_decomposed_fx:0
2022-11-23T01:55:46.0974717Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py _get_path_of_module:0
2022-11-23T01:55:46.0975178Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py _get_signature_locals:0
2022-11-23T01:55:46.0975645Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py _get_default_kwargs:0
2022-11-23T01:55:46.0976114Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py _normalize_kwargs:0
2022-11-23T01:55:46.0976779Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/utils.py _get_num_pos_args:0
2022-11-23T01:55:46.0977281Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py DTypeConfig:0
2022-11-23T01:55:46.0977804Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py ModelReport:0
2022-11-23T01:55:46.0978412Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py ModelReportVisualizer.generate_filtered_tables:0
2022-11-23T01:55:46.0979085Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py ModelReportVisualizer.generate_table_visualization:0
2022-11-23T01:55:46.0979762Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py ModelReportVisualizer.generate_plot_visualization:0
2022-11-23T01:55:46.0980500Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py ModelReportVisualizer.generate_histogram_visualization:0
2022-11-23T01:55:46.0981052Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py detect_anomaly:0
2022-11-23T01:55:46.0981501Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/forward_ad.py make_dual:0
2022-11-23T01:55:46.0981948Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/forward_ad.py unpack_dual:0
2022-11-23T01:55:46.0982383Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/forward_ad.py dual_level:0
2022-11-23T01:55:46.0982900Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py FunctionCtx.save_for_backward:0
2022-11-23T01:55:46.0983399Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py FunctionCtx.save_for_forward:0
2022-11-23T01:55:46.0983876Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py FunctionCtx.mark_dirty:0
2022-11-23T01:55:46.0984379Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py FunctionCtx.mark_non_differentiable:0
2022-11-23T01:55:46.0984891Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py FunctionCtx.set_materialize_grads:0
2022-11-23T01:55:46.0985352Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/function.py Function:0
2022-11-23T01:55:46.0985768Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/functional.py vjp:0
2022-11-23T01:55:46.0986199Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/functional.py jvp:0
2022-11-23T01:55:46.0986639Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/functional.py jacobian:0
2022-11-23T01:55:46.0987082Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/functional.py hessian:0
2022-11-23T01:55:46.0987503Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/functional.py vhp:0
2022-11-23T01:55:46.0987927Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/functional.py hvp:0
2022-11-23T01:55:46.0988356Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/grad_mode.py no_grad:0
2022-11-23T01:55:46.0988797Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/grad_mode.py enable_grad:0
2022-11-23T01:55:46.0989232Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/grad_mode.py set_grad_enabled:0
2022-11-23T01:55:46.0989690Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/grad_mode.py inference_mode:0
2022-11-23T01:55:46.0990144Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/graph.py saved_tensors_hooks:0
2022-11-23T01:55:46.0990573Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/graph.py save_on_cpu:0
2022-11-23T01:55:46.0991035Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/graph.py disable_saved_tensors_hooks:0
2022-11-23T01:55:46.0991510Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/graph.py register_multi_grad_hook:0
2022-11-23T01:55:46.0991992Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/graph.py allow_mutation_on_saved_tensors:0
2022-11-23T01:55:46.0992434Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/profiler.py profile:0
2022-11-23T01:55:46.0992885Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/profiler.py record_function:0
2022-11-23T01:55:46.0993332Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/profiler.py emit_itt:0
2022-11-23T01:55:46.0993769Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/autograd/profiler.py emit_nvtx:0
2022-11-23T01:55:46.0994247Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/cuda/jiterator.py _create_jit_fn:0
2022-11-23T01:55:46.0994759Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/cuda/jiterator.py _create_jit_fn:1
2022-11-23T01:55:46.0995199Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/cuda/jiterator.py _create_jit_fn:2
2022-11-23T01:55:46.0995667Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/cuda/jiterator.py _create_multi_output_jit_fn:0
2022-11-23T01:55:46.0996109Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/argparse_util.py env:0
2022-11-23T01:55:46.0996594Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/argparse_util.py check_env:0
2022-11-23T01:55:46.0997071Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py batch_isend_irecv:0
2022-11-23T01:55:46.0997535Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py all_reduce:0
2022-11-23T01:55:46.0998018Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py all_gather_object:0
2022-11-23T01:55:46.0998499Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py gather_object:0
2022-11-23T01:55:46.0998992Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py broadcast_object_list:0
2022-11-23T01:55:46.0999472Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py scatter_object_list:0
2022-11-23T01:55:46.0999953Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py all_gather:0
2022-11-23T01:55:46.1000439Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py all_gather_into_tensor:0
2022-11-23T01:55:46.1000933Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py all_gather_coalesced:0
2022-11-23T01:55:46.1001392Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py scatter:0
2022-11-23T01:55:46.1001877Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py reduce_scatter_tensor:0
2022-11-23T01:55:46.1002359Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py all_to_all_single:0
2022-11-23T01:55:46.1002833Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py all_to_all:0
2022-11-23T01:55:46.1003300Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py monitored_barrier:0
2022-11-23T01:55:46.1003776Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py new_subgroups:0
2022-11-23T01:55:46.1004278Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py new_subgroups_by_enumeration:0
2022-11-23T01:55:46.1004744Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/launch.py __doc__:0
2022-11-23T01:55:46.1005160Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/run.py __doc__:0
2022-11-23T01:55:46.1005605Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py context:0
2022-11-23T01:55:46.1006104Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/_ddp.py DistributedDataParallel:0
2022-11-23T01:55:46.1006649Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/_ddp.py DistributedDataParallel.no_sync:0
2022-11-23T01:55:46.1007185Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/_ddp.py DistributedDataParallel.join:0
2022-11-23T01:55:46.1007799Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/_ddp.py DistributedDataParallel.register_comm_hook:0
2022-11-23T01:55:46.1008387Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/_ddp.py DistributedDataParallel.register_comm_hook:1
2022-11-23T01:55:46.1008982Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/_ddp.py DistributedDataParallel._register_builtin_comm_hook:0
2022-11-23T01:55:46.1009556Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/_ddp.py DistributedDataParallel._register_fused_optim:0
2022-11-23T01:55:46.1010136Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py checkpoint:0
2022-11-23T01:55:46.1010635Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/contract.py contract:0
2022-11-23T01:55:46.1011120Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py replicate:0
2022-11-23T01:55:46.1011598Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_composable/replicate.py mark_root_module:0
2022-11-23T01:55:46.1012095Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_shard/partial_tensor.py _PartialTensor:0
2022-11-23T01:55:46.1012627Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py named_params_with_sharded_tensor:0
2022-11-23T01:55:46.1013163Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py init_from_local_shards:0
2022-11-23T01:55:46.1013679Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py custom_sharded_op_impl:0
2022-11-23T01:55:46.1014231Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/api.py ShardedTensor._init_from_local_tensor:0
2022-11-23T01:55:46.1014777Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/api.py ShardedTensor.reshard:0
2022-11-23T01:55:46.1015308Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py _sharded_op_common:0
2022-11-23T01:55:46.1015808Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_shard/sharding_plan/api.py ShardingPlan:0
2022-11-23T01:55:46.1016322Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_tensor/parallel/utils.py _prepare_input_validate:0
2022-11-23T01:55:46.1017031Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/_tensor/parallel/utils.py _prepare_output_validate:0
2022-11-23T01:55:46.1017510Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/join.py Join:0
2022-11-23T01:55:46.1018011Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py register_ddp_comm_hook:0
2022-11-23T01:55:46.1018546Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py noop_hook:0
2022-11-23T01:55:46.1019089Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py allreduce_hook:0
2022-11-23T01:55:46.1019633Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py fp16_compress_hook:0
2022-11-23T01:55:46.1020168Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py bf16_compress_hook:0
2022-11-23T01:55:46.1020720Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py fp16_compress_wrapper:0
2022-11-23T01:55:46.1021328Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py bf16_compress_wrapper:0
2022-11-23T01:55:46.1021888Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py post_localSGD_hook:0
2022-11-23T01:55:46.1022422Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py powerSGD_hook:0
2022-11-23T01:55:46.1022968Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py batched_powerSGD_hook:0
2022-11-23T01:55:46.1023584Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py quantization_pertensor_hook:0
2022-11-23T01:55:46.1024174Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py quantization_perchannel_hook:0
2022-11-23T01:55:46.1024756Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py PeriodicModelAverager:0
2022-11-23T01:55:46.1025362Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py HierarchicalModelAverager:0
2022-11-23T01:55:46.1025912Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py SavePlanner:0
2022-11-23T01:55:46.1026399Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py LoadPlanner:0
2022-11-23T01:55:46.1026906Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py load_state_dict:0
2022-11-23T01:55:46.1027407Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py save_state_dict:0
2022-11-23T01:55:46.1027928Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/__init__.py start_processes:0
2022-11-23T01:55:46.1028439Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/api.py Std.from_str:0
2022-11-23T01:55:46.1028936Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/api.py to_map:0
2022-11-23T01:55:46.1029454Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py ChildFailedError:0
2022-11-23T01:55:46.1030006Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py RendezvousHandler.shutdown:0
2022-11-23T01:55:46.1030507Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/api.py StateDictType:0
2022-11-23T01:55:46.1030987Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/api.py FullStateDictConfig:0
2022-11-23T01:55:46.1031513Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py FullyShardedDataParallel:0
2022-11-23T01:55:46.1032118Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py FullyShardedDataParallel.set_state_dict_type:0
2022-11-23T01:55:46.1032746Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py FullyShardedDataParallel.state_dict_type:0
2022-11-23T01:55:46.1033386Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py FullyShardedDataParallel.shard_full_optim_state_dict:0
2022-11-23T01:55:46.1034056Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py FullyShardedDataParallel.scatter_full_optim_state_dict:0
2022-11-23T01:55:46.1034768Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py FullyShardedDataParallel.rekey_optim_state_dict:0
2022-11-23T01:55:46.1035345Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py ShardedGradScaler:0
2022-11-23T01:55:46.1035838Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/nn/functional.py _all_gather_base:0
2022-11-23T01:55:46.1036328Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py _RemoteModule.__init__:0
2022-11-23T01:55:46.1036899Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py _RemoteModule.init_from_module_rref:0
2022-11-23T01:55:46.1037408Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/nn/api/remote_module.py RemoteModule:0
2022-11-23T01:55:46.1037951Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py _apply_optimizer_in_backward:0
2022-11-23T01:55:46.1038468Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/optim/optimizer.py DistributedOptimizer:0
2022-11-23T01:55:46.1039009Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py PostLocalSGDOptimizer:0
2022-11-23T01:55:46.1039534Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/optim/utils.py register_functional_optim:0
2022-11-23T01:55:46.1040074Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py ZeroRedundancyOptimizer:0
2022-11-23T01:55:46.1040575Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/pipeline/sync/pipe.py WithDevice:0
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2022-11-23T01:55:46.1041506Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/rpc/api.py _wait_all:0
2022-11-23T01:55:46.1041952Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/rpc/api.py shutdown:0
2022-11-23T01:55:46.1042379Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/rpc/api.py remote:0
2022-11-23T01:55:46.1042819Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/rpc/api.py rpc_sync:0
2022-11-23T01:55:46.1043256Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/rpc/api.py rpc_async:0
2022-11-23T01:55:46.1043723Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/rpc/functions.py async_execution:0
2022-11-23T01:55:46.1044247Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/rpc/options.py TensorPipeRpcBackendOptions.set_device_map:0
2022-11-23T01:55:46.1044823Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py _server_process_global_profile:0
2022-11-23T01:55:46.1045320Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/distributions/bernoulli.py Bernoulli:0
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2022-11-23T01:55:46.1123945Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py ModuleDict:0
2022-11-23T01:55:46.1124401Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py ParameterList:0
2022-11-23T01:55:46.1124852Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py ParameterDict:0
2022-11-23T01:55:46.1125320Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/distance.py PairwiseDistance:0
2022-11-23T01:55:46.1125793Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/distance.py CosineSimilarity:0
2022-11-23T01:55:46.1126243Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/dropout.py Dropout:0
2022-11-23T01:55:46.1126672Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/dropout.py Dropout1d:0
2022-11-23T01:55:46.1127115Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/dropout.py Dropout2d:0
2022-11-23T01:55:46.1127557Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/dropout.py Dropout3d:0
2022-11-23T01:55:46.1127989Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/dropout.py AlphaDropout:0
2022-11-23T01:55:46.1128458Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/dropout.py FeatureAlphaDropout:0
2022-11-23T01:55:46.1128911Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/flatten.py Flatten:0
2022-11-23T01:55:46.1129346Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/flatten.py Unflatten:0
2022-11-23T01:55:46.1129758Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/fold.py Fold:0
2022-11-23T01:55:46.1130218Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/fold.py Unfold:0
2022-11-23T01:55:46.1130682Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py InstanceNorm1d:0
2022-11-23T01:55:46.1131157Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py InstanceNorm2d:0
2022-11-23T01:55:46.1131612Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py InstanceNorm3d:0
2022-11-23T01:55:46.1132064Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/lazy.py LazyModuleMixin:0
2022-11-23T01:55:46.1132543Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/linear.py Identity:0
2022-11-23T01:55:46.1132959Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/linear.py Linear:0
2022-11-23T01:55:46.1133394Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/linear.py Bilinear:0
2022-11-23T01:55:46.1133817Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py L1Loss:0
2022-11-23T01:55:46.1134238Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py NLLLoss:0
2022-11-23T01:55:46.1134666Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py PoissonNLLLoss:0
2022-11-23T01:55:46.1135118Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py GaussianNLLLoss:0
2022-11-23T01:55:46.1135555Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py KLDivLoss:0
2022-11-23T01:55:46.1135984Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py MSELoss:0
2022-11-23T01:55:46.1136389Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py BCELoss:0
2022-11-23T01:55:46.1137035Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py BCEWithLogitsLoss:0
2022-11-23T01:55:46.1137506Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py MultiLabelMarginLoss:0
2022-11-23T01:55:46.1137971Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py CrossEntropyLoss:0
2022-11-23T01:55:46.1138417Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py MarginRankingLoss:0
2022-11-23T01:55:46.1138870Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py MultiMarginLoss:0
2022-11-23T01:55:46.1139323Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py TripletMarginLoss:0
2022-11-23T01:55:46.1139801Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py TripletMarginWithDistanceLoss:0
2022-11-23T01:55:46.1140263Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/loss.py CTCLoss:0
2022-11-23T01:55:46.1140720Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.register_buffer:0
2022-11-23T01:55:46.1141180Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.apply:0
2022-11-23T01:55:46.1141607Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.to:0
2022-11-23T01:55:46.1142059Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.state_dict:0
2022-11-23T01:55:46.1142518Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.parameters:0
2022-11-23T01:55:46.1142991Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.named_parameters:0
2022-11-23T01:55:46.1143441Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.buffers:0
2022-11-23T01:55:46.1143967Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.named_buffers:0
2022-11-23T01:55:46.1144437Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.named_children:0
2022-11-23T01:55:46.1144893Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.modules:0
2022-11-23T01:55:46.1145340Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py Module.named_modules:0
2022-11-23T01:55:46.1145822Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/normalization.py LocalResponseNorm:0
2022-11-23T01:55:46.1146379Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/normalization.py LayerNorm:0
2022-11-23T01:55:46.1146830Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/normalization.py GroupNorm:0
2022-11-23T01:55:46.1147290Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ConstantPad1d:0
2022-11-23T01:55:46.1147751Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ConstantPad2d:0
2022-11-23T01:55:46.1148197Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ConstantPad3d:0
2022-11-23T01:55:46.1148638Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ReflectionPad1d:0
2022-11-23T01:55:46.1149101Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ReflectionPad2d:0
2022-11-23T01:55:46.1149558Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ReflectionPad3d:0
2022-11-23T01:55:46.1150019Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ReplicationPad1d:0
2022-11-23T01:55:46.1150470Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ReplicationPad2d:0
2022-11-23T01:55:46.1150937Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ReplicationPad3d:0
2022-11-23T01:55:46.1151387Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/padding.py ZeroPad2d:0
2022-11-23T01:55:46.1151848Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py PixelShuffle:0
2022-11-23T01:55:46.1152306Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py PixelUnshuffle:0
2022-11-23T01:55:46.1152755Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py MaxPool1d:0
2022-11-23T01:55:46.1153196Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py MaxPool2d:0
2022-11-23T01:55:46.1153620Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py MaxPool3d:0
2022-11-23T01:55:46.1154067Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py MaxUnpool1d:0
2022-11-23T01:55:46.1154575Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py MaxUnpool2d:0
2022-11-23T01:55:46.1155025Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py MaxUnpool3d:0
2022-11-23T01:55:46.1155456Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AvgPool1d:0
2022-11-23T01:55:46.1155895Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AvgPool2d:0
2022-11-23T01:55:46.1156333Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AvgPool3d:0
2022-11-23T01:55:46.1156802Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py FractionalMaxPool2d:0
2022-11-23T01:55:46.1157268Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py FractionalMaxPool3d:0
2022-11-23T01:55:46.1157760Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py LPPool1d:0
2022-11-23T01:55:46.1158193Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py LPPool2d:0
2022-11-23T01:55:46.1158642Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AdaptiveMaxPool1d:0
2022-11-23T01:55:46.1159094Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AdaptiveMaxPool2d:0
2022-11-23T01:55:46.1159553Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AdaptiveMaxPool3d:0
2022-11-23T01:55:46.1160046Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AdaptiveAvgPool1d:0
2022-11-23T01:55:46.1160495Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AdaptiveAvgPool2d:0
2022-11-23T01:55:46.1160961Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/pooling.py AdaptiveAvgPool3d:0
2022-11-23T01:55:46.1161392Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py RNN:0
2022-11-23T01:55:46.1161806Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py LSTM:0
2022-11-23T01:55:46.1162199Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py GRU:0
2022-11-23T01:55:46.1162616Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py RNNCell:0
2022-11-23T01:55:46.1163037Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py LSTMCell:0
2022-11-23T01:55:46.1163456Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/rnn.py GRUCell:0
2022-11-23T01:55:46.1163871Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/sparse.py Embedding:0
2022-11-23T01:55:46.1164336Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/sparse.py Embedding.from_pretrained:0
2022-11-23T01:55:46.1164798Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/sparse.py EmbeddingBag:0
2022-11-23T01:55:46.1165261Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/sparse.py EmbeddingBag.from_pretrained:0
2022-11-23T01:55:46.1165737Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/transformer.py Transformer:0
2022-11-23T01:55:46.1166216Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/transformer.py Transformer.forward:0
2022-11-23T01:55:46.1166708Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/transformer.py TransformerEncoder:0
2022-11-23T01:55:46.1167185Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/transformer.py TransformerDecoder:0
2022-11-23T01:55:46.1167684Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/transformer.py TransformerEncoderLayer:0
2022-11-23T01:55:46.1168189Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/transformer.py TransformerDecoderLayer:0
2022-11-23T01:55:46.1168665Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/upsampling.py Upsample:0
2022-11-23T01:55:46.1169127Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/upsampling.py UpsamplingNearest2d:0
2022-11-23T01:55:46.1169621Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/modules/upsampling.py UpsamplingBilinear2d:0
2022-11-23T01:55:46.1170104Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py DataParallel:0
2022-11-23T01:55:46.1170602Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py DistributedDataParallel:0
2022-11-23T01:55:46.1171153Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py DistributedDataParallel.no_sync:0
2022-11-23T01:55:46.1171696Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py DistributedDataParallel.join:0
2022-11-23T01:55:46.1172262Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py DistributedDataParallel.register_comm_hook:0
2022-11-23T01:55:46.1172839Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py DistributedDataParallel.register_comm_hook:1
2022-11-23T01:55:46.1173404Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py DistributedDataParallel._register_builtin_comm_hook:0
2022-11-23T01:55:46.1174010Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py DistributedDataParallel._register_fused_optim:0
2022-11-23T01:55:46.1174536Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py call_for_per_sample_grads:0
2022-11-23T01:55:46.1174986Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/init.py skip_init:0
2022-11-23T01:55:46.1175457Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/memory_format.py convert_conv2d_weight_memory_format:0
2022-11-23T01:55:46.1175942Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py orthogonal:0
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2022-11-23T01:55:46.1179768Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/prune.py global_unstructured:0
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2022-11-23T01:55:46.1181509Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/rnn.py pad_packed_sequence:0
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2022-11-23T01:55:46.1183228Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/rnn.py unpack_sequence:0
2022-11-23T01:55:46.1183680Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py spectral_norm:0
2022-11-23T01:55:46.1184140Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py remove_spectral_norm:0
2022-11-23T01:55:46.1184602Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/stateless.py functional_call:0
2022-11-23T01:55:46.1185133Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py weight_norm:0
2022-11-23T01:55:46.1185596Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py remove_weight_norm:0
2022-11-23T01:55:46.1186061Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py unfold3d:0
2022-11-23T01:55:46.1186600Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py sum_over_all_but_batch_and_last_n:0
2022-11-23T01:55:46.1187095Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/onnx/_type_utils.py JitScalarType:0
2022-11-23T01:55:46.1187569Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py LambdaLR:0
2022-11-23T01:55:46.1188032Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py MultiplicativeLR:0
2022-11-23T01:55:46.1188483Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py StepLR:0
2022-11-23T01:55:46.1188930Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py MultiStepLR:0
2022-11-23T01:55:46.1189366Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py ConstantLR:0
2022-11-23T01:55:46.1189906Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py LinearLR:0
2022-11-23T01:55:46.1190358Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py SequentialLR:0
2022-11-23T01:55:46.1190811Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py PolynomialLR:0
2022-11-23T01:55:46.1191266Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py ChainedScheduler:0
2022-11-23T01:55:46.1191736Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py ReduceLROnPlateau:0
2022-11-23T01:55:46.1192190Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py CyclicLR:0
2022-11-23T01:55:46.1192694Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py CosineAnnealingWarmRestarts.step:0
2022-11-23T01:55:46.1193223Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py CosineAnnealingWarmRestarts.step:1
2022-11-23T01:55:46.1193709Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/lr_scheduler.py OneCycleLR:0
2022-11-23T01:55:46.1194129Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/sgd.py SGD:0
2022-11-23T01:55:46.1194615Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/swa_utils.py AveragedModel:0
2022-11-23T01:55:46.1195066Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/swa_utils.py AveragedModel:1
2022-11-23T01:55:46.1195504Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/swa_utils.py update_bn:0
2022-11-23T01:55:46.1195933Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/optim/swa_utils.py SWALR:0
2022-11-23T01:55:46.1196357Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/package/glob_group.py GlobGroup:0
2022-11-23T01:55:46.1196798Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/profiler/profiler.py profile:0
2022-11-23T01:55:46.1197248Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/testing/_comparison.py assert_close:0
2022-11-23T01:55:46.1197693Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/testing/_creation.py make_tensor:0
2022-11-23T01:55:46.1198147Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py parametrize:0
2022-11-23T01:55:46.1198652Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py random_symmetric_psd_matrix:0
2022-11-23T01:55:46.1199211Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py random_hermitian_psd_matrix:0
2022-11-23T01:55:46.1199724Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py random_hermitian_pd_matrix:0
2022-11-23T01:55:46.1200251Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py skip_unless_torch_gpu:0
2022-11-23T01:55:46.1200781Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/backend_registration.py rename_privateuse1_backend:0
2022-11-23T01:55:46.1201299Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py checkpoint_sequential:0
2022-11-23T01:55:46.1201764Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/cpp_extension.py CppExtension:0
2022-11-23T01:55:46.1202218Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/cpp_extension.py CUDAExtension:0
2022-11-23T01:55:46.1202680Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/cpp_extension.py CUDAExtension:1
2022-11-23T01:55:46.1203118Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/cpp_extension.py load:0
2022-11-23T01:55:46.1203547Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/cpp_extension.py load_inline:0
2022-11-23T01:55:46.1203983Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/dlpack.py from_dlpack:0
2022-11-23T01:55:46.1204459Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py ThroughputBenchmark:0
2022-11-23T01:55:46.1204940Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataset.py IterableDataset:0
2022-11-23T01:55:46.1205382Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/dataset.py random_split:0
2022-11-23T01:55:46.1205857Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/distributed.py DistributedSampler:0
2022-11-23T01:55:46.1206350Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/sampler.py WeightedRandomSampler:0
2022-11-23T01:55:46.1206818Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/sampler.py BatchSampler:0
2022-11-23T01:55:46.1207268Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py default_convert:0
2022-11-23T01:55:46.1207723Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py collate:0
2022-11-23T01:55:46.1208184Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py default_collate:0
2022-11-23T01:55:46.1208662Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py IterDataPipe:0
2022-11-23T01:55:46.1209138Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py MapDataPipe:0
2022-11-23T01:55:46.1209647Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py MapperIterDataPipe:0
2022-11-23T01:55:46.1210174Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py CollatorIterDataPipe:0
2022-11-23T01:55:46.1210710Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py ShufflerIterDataPipe:0
2022-11-23T01:55:46.1211234Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py ConcaterIterDataPipe:0
2022-11-23T01:55:46.1211758Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py ForkerIterDataPipe:0
2022-11-23T01:55:46.1212296Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py _ChildDataPipe:0
2022-11-23T01:55:46.1212833Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py DemultiplexerIterDataPipe:0
2022-11-23T01:55:46.1213370Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py MultiplexerIterDataPipe:0
2022-11-23T01:55:46.1213903Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py ZipperIterDataPipe:0
2022-11-23T01:55:46.1214435Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py FileListerIterDataPipe:0
2022-11-23T01:55:46.1215016Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py FileOpenerIterDataPipe:0
2022-11-23T01:55:46.1215530Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py BatcherIterDataPipe:0
2022-11-23T01:55:46.1216056Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py UnBatcherIterDataPipe:0
2022-11-23T01:55:46.1216775Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py GrouperIterDataPipe:0
2022-11-23T01:55:46.1217296Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py FilterIterDataPipe:0
2022-11-23T01:55:46.1217820Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py StreamReaderIterDataPipe:0
2022-11-23T01:55:46.1218379Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py IterableWrapperIterDataPipe:0
2022-11-23T01:55:46.1218909Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py MapperMapDataPipe:0
2022-11-23T01:55:46.1219438Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py ShufflerIterDataPipe:0
2022-11-23T01:55:46.1219957Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py ConcaterMapDataPipe:0
2022-11-23T01:55:46.1220478Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py ZipperMapDataPipe:0
2022-11-23T01:55:46.1220988Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py BatcherMapDataPipe:0
2022-11-23T01:55:46.1221522Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py SequenceWrapperMapDataPipe:0
2022-11-23T01:55:46.1222033Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py validate_input_col:0
2022-11-23T01:55:46.1222528Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py find_closure_group:0
2022-11-23T01:55:46.1223020Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py replace_extern_shared:0
2022-11-23T01:55:46.1223514Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.__init__:0
2022-11-23T01:55:46.1224001Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_hparams:0
2022-11-23T01:55:46.1224505Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_scalar:0
2022-11-23T01:55:46.1225006Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_scalars:0
2022-11-23T01:55:46.1225512Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_histogram:0
2022-11-23T01:55:46.1226077Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_histogram_raw:0
2022-11-23T01:55:46.1226589Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_image:0
2022-11-23T01:55:46.1227089Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_images:0
2022-11-23T01:55:46.1227589Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_text:0
2022-11-23T01:55:46.1228076Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_embedding:0
2022-11-23T01:55:46.1228621Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_pr_curve:0
2022-11-23T01:55:46.1229169Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_custom_scalars_multilinechart:0
2022-11-23T01:55:46.1229733Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_custom_scalars_marginchart:0
2022-11-23T01:55:46.1230253Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_custom_scalars:0
2022-11-23T01:55:46.1230763Z     python -m xdoctest /opt/conda/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py SummaryWriter.add_mesh:0
2022-11-23T01:55:46.4064787Z 
2022-11-23T01:55:46.4065438Z real	37m2.498s
2022-11-23T01:55:46.4065785Z user	77m6.784s
2022-11-23T01:55:46.4066109Z sys	8m56.626s
2022-11-23T01:55:46.4066446Z + assert_git_not_dirty
2022-11-23T01:55:46.4066886Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:55:46.4067212Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]]
2022-11-23T01:55:46.4069610Z ++ git status --porcelain
2022-11-23T01:55:54.4131855Z + git_status=
2022-11-23T01:55:54.4132409Z + [[ -n '' ]]
2022-11-23T01:55:54.4132675Z + test_aten
2022-11-23T01:55:54.4133065Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *asan* ]]
2022-11-23T01:55:54.4133486Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:55:54.4133847Z + echo 'Running ATen tests with pytorch lib'
2022-11-23T01:55:54.4134076Z Running ATen tests with pytorch lib
2022-11-23T01:55:54.4134329Z + [[ -n '' ]]
2022-11-23T01:55:54.4134572Z + echo 'Running test with the build folder'
2022-11-23T01:55:54.4134793Z Running test with the build folder
2022-11-23T01:55:54.4134994Z + TEST_BASE_DIR=build/bin
2022-11-23T01:55:54.4135587Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so build/bin
2022-11-23T01:55:54.4220741Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so build/bin
2022-11-23T01:55:54.4229490Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libmkldnn*' build/bin
2022-11-23T01:55:54.4238580Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libnccl*' build/bin
2022-11-23T01:55:54.4248860Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so build/bin
2022-11-23T01:55:54.4256929Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libtbb*' build/bin
2022-11-23T01:55:54.4264697Z + ls build/bin
2022-11-23T01:55:54.4305952Z  CppSignature_test		       cuda_half_test
2022-11-23T01:55:54.4308529Z  Dict_test			       cuda_integer_divider_test
2022-11-23T01:55:54.4309020Z  Dimname_test			       cuda_optional_test
2022-11-23T01:55:54.4309607Z  FileStoreTest			       cuda_packedtensoraccessor_test
2022-11-23T01:55:54.4310114Z  HashStoreTest			       cuda_reportMemoryUsage_test
2022-11-23T01:55:54.4310542Z  IListRef_test			       cuda_stream_test
2022-11-23T01:55:54.4310917Z  KernelFunction_test		       cuda_vectorized_test
2022-11-23T01:55:54.4311306Z  List_test			       dispatch_key_set_test
2022-11-23T01:55:54.4311713Z  MaybeOwned_test		       dlconvertor_test
2022-11-23T01:55:54.4312113Z  NamedTensor_test		       example_allreduce
2022-11-23T01:55:54.4312382Z  ProcessGroupGlooAsyncTest	       extension_backend_test
2022-11-23T01:55:54.4312645Z  ProcessGroupGlooTest		       half_test
2022-11-23T01:55:54.4312881Z  ProcessGroupMPITest		       inline_container_test
2022-11-23T01:55:54.4313247Z  ProcessGroupNCCLErrorsTest	       ivalue_test
2022-11-23T01:55:54.4313521Z  ProcessGroupNCCLTest		       kernel_function_legacy_test
2022-11-23T01:55:54.4313789Z  ProcessGroupUCCTest		       kernel_function_test
2022-11-23T01:55:54.4314027Z  TCPStoreTest			       kernel_lambda_legacy_test
2022-11-23T01:55:54.4314274Z  aot_model_compiler_test	       kernel_lambda_test
2022-11-23T01:55:54.4314581Z  apply_utils_test		       kernel_stackbased_test
2022-11-23T01:55:54.4314789Z  atest				       lazy_tensor_test
2022-11-23T01:55:54.4315002Z  backend_fallback_test		       libc10.so
2022-11-23T01:55:54.4315209Z  basic				       libc10_cuda.so
2022-11-23T01:55:54.4315410Z  broadcast_test			       libc10d_cuda_test.so
2022-11-23T01:55:54.4315636Z  c10_Array_test			       libcaffe2_nvrtc.so
2022-11-23T01:55:54.4315936Z  c10_Bitset_test		      'libmkldnn*'
2022-11-23T01:55:54.4316163Z  c10_C++17_test			      'libnccl*'
2022-11-23T01:55:54.4316450Z  c10_CompileTimeFunctionPointer_test  'libtbb*'
2022-11-23T01:55:54.4316697Z  c10_ConstexprCrc_test		       libtorch.so
2022-11-23T01:55:54.4316925Z  c10_DeadlockDetection_test	       libtorch_cpu.so
2022-11-23T01:55:54.4317167Z  c10_DeviceGuard_test		       libtorch_cuda.so
2022-11-23T01:55:54.4317403Z  c10_Device_test		       libtorch_cuda_linalg.so
2022-11-23T01:55:54.4317651Z  c10_DispatchKeySet_test	       libtorch_global_deps.so
2022-11-23T01:55:54.4317875Z  c10_Half_test			       libtorch_python.so
2022-11-23T01:55:54.4318117Z  c10_InlineDeviceGuard_test	       libtorchbind_test.so
2022-11-23T01:55:54.4318512Z  c10_InlineStreamGuard_test	       make_boxed_from_unboxed_functor_test
2022-11-23T01:55:54.4318806Z  c10_LeftRight_test		       math_kernel_test
2022-11-23T01:55:54.4319032Z  c10_Metaprogramming_test	       memory_format_test
2022-11-23T01:55:54.4319291Z  c10_SizesAndStrides_test	       memory_overlapping_test
2022-11-23T01:55:54.4319544Z  c10_SmallVectorTest		       mobile_memory_cleanup
2022-11-23T01:55:54.4319764Z  c10_StreamGuard_test		       native_test
2022-11-23T01:55:54.4319981Z  c10_SymInt_test		       op_allowlist_test
2022-11-23T01:55:54.4320213Z  c10_Synchronized_test		       op_registration_test
2022-11-23T01:55:54.4320442Z  c10_ThreadLocal_test		       operator_name_test
2022-11-23T01:55:54.4320671Z  c10_TypeIndex_test		       operators_test
2022-11-23T01:55:54.4320915Z  c10_TypeList_test		       packedtensoraccessor_test
2022-11-23T01:55:54.4321151Z  c10_TypeTraits_test		       parallel_benchmark
2022-11-23T01:55:54.4321369Z  c10_accumulate_test		       pow_test
2022-11-23T01:55:54.4321571Z  c10_bfloat16_test		       protoc
2022-11-23T01:55:54.4321830Z  c10_complex_math_test		       protoc-3.13.0.0
2022-11-23T01:55:54.4322055Z  c10_complex_test		       quantized_test
2022-11-23T01:55:54.4322271Z  c10_cuda_CUDATest		       reduce_ops_test
2022-11-23T01:55:54.4322499Z  c10_either_test		       reportMemoryUsage_test
2022-11-23T01:55:54.4322721Z  c10_exception_test		       scalar_tensor_test
2022-11-23T01:55:54.4322935Z  c10_flags_test			       scalar_test
2022-11-23T01:55:54.4323173Z  c10_intrusive_ptr_benchmark	       stride_properties_test
2022-11-23T01:55:54.4323411Z  c10_intrusive_ptr_test		       tensor_iterator_test
2022-11-23T01:55:54.4323627Z  c10_irange_test		       test_api
2022-11-23T01:55:54.4323829Z  c10_logging_test		       test_cpp_rpc
2022-11-23T01:55:54.4324082Z  c10_optional_test		       test_dist_autograd
2022-11-23T01:55:54.4324319Z  c10_ordered_preserving_dict_test      test_jit
2022-11-23T01:55:54.4324536Z  c10_registry_test		       test_lazy
2022-11-23T01:55:54.4324738Z  c10_string_view_test		       test_mobile_nnc
2022-11-23T01:55:54.4324956Z  c10_tempfile_test		       test_parallel
2022-11-23T01:55:54.4325173Z  c10_typeid_test		       test_tensorexpr
2022-11-23T01:55:54.4325446Z  cpu_generator_test		       thread_init_test
2022-11-23T01:55:54.4325692Z  cpu_profiling_allocator_test	       torch_shm_manager
2022-11-23T01:55:54.4325933Z  cpu_rng_test			       tutorial_tensorexpr
2022-11-23T01:55:54.4326193Z  cuda_apply_test		       type_ptr_test
2022-11-23T01:55:54.4326395Z  cuda_atomic_ops_test		       type_test
2022-11-23T01:55:54.4326640Z  cuda_caching_host_allocator_test      undefined_tensor_test
2022-11-23T01:55:54.4326888Z  cuda_complex_math_test		       variant_test
2022-11-23T01:55:54.4327110Z  cuda_complex_test		       vec_test_all_types_AVX2
2022-11-23T01:55:54.4327347Z  cuda_cub_test			       vec_test_all_types_DEFAULT
2022-11-23T01:55:54.4337997Z  cuda_cudnn_test		       verify_api_visibility
2022-11-23T01:55:54.4338247Z  cuda_device_test		       vmap_test
2022-11-23T01:55:54.4338474Z  cuda_distributions_test	       weakref_test
2022-11-23T01:55:54.4338693Z  cuda_dlconvertor_test		       wrapdim_test
2022-11-23T01:55:54.4338914Z  cuda_generator_test		       xla_tensor_test
2022-11-23T01:55:54.4339131Z + aten/tools/run_tests.sh build/bin
2022-11-23T01:55:54.4357864Z + set -e
2022-11-23T01:55:54.4360632Z ++ dirname aten/tools/run_tests.sh
2022-11-23T01:55:54.4371968Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup
2022-11-23T01:55:54.4372444Z + pushd build/bin
2022-11-23T01:55:54.4372665Z ~/workspace/build/bin ~/workspace
2022-11-23T01:55:54.4372856Z + VALGRIND=ON
2022-11-23T01:55:54.4373020Z + ./basic
2022-11-23T01:55:55.4917639Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:55.4918330Z [==========] Running 5 tests from 1 test suite.
2022-11-23T01:55:55.4918641Z [----------] Global test environment set-up.
2022-11-23T01:55:55.4918937Z [----------] 5 tests from BasicTest
2022-11-23T01:55:55.4919203Z [ RUN      ] BasicTest.BasicTestCPU
2022-11-23T01:55:55.5918984Z    5 ms
2022-11-23T01:55:55.6622607Z    68 ms
2022-11-23T01:55:55.7703806Z    106 ms
2022-11-23T01:55:55.8253568Z [       OK ] BasicTest.BasicTestCPU (333 ms)
2022-11-23T01:55:55.8253898Z [ RUN      ] BasicTest.BasicTestHalfCPU
2022-11-23T01:55:55.8314800Z    2 ms
2022-11-23T01:55:55.9248722Z    92 ms
2022-11-23T01:55:56.0563018Z    131 ms
2022-11-23T01:55:56.0669414Z [       OK ] BasicTest.BasicTestHalfCPU (241 ms)
2022-11-23T01:55:56.0669993Z [ RUN      ] BasicTest.BasicTestCUDA
2022-11-23T01:55:56.0670341Z [       OK ] BasicTest.BasicTestCUDA (0 ms)
2022-11-23T01:55:56.0670652Z [ RUN      ] BasicTest.FactoryMethodsTest
2022-11-23T01:55:56.0706072Z [       OK ] BasicTest.FactoryMethodsTest (3 ms)
2022-11-23T01:55:56.0706562Z [ RUN      ] BasicTest.BasicStdTestCPU
2022-11-23T01:55:56.0707178Z Simple example: called once
2022-11-23T01:55:56.0711054Z throw: call_once will retry
2022-11-23T01:55:56.0712447Z throw: call_once will retry
2022-11-23T01:55:56.0715191Z Didn't throw, call_once will not attempt again
2022-11-23T01:55:56.0715801Z [       OK ] BasicTest.BasicStdTestCPU (0 ms)
2022-11-23T01:55:56.0716148Z [----------] 5 tests from BasicTest (579 ms total)
2022-11-23T01:55:56.0716308Z 
2022-11-23T01:55:56.0716478Z [----------] Global test environment tear-down
2022-11-23T01:55:56.0716796Z [==========] 5 tests from 1 test suite ran. (580 ms total)
2022-11-23T01:55:56.0717045Z [  PASSED  ] 5 tests.
2022-11-23T01:55:56.1668861Z + ./atest
2022-11-23T01:55:56.4817570Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:56.4818110Z [==========] Running 16 tests from 1 test suite.
2022-11-23T01:55:56.4818418Z [----------] Global test environment set-up.
2022-11-23T01:55:56.4818821Z [----------] 16 tests from atest
2022-11-23T01:55:56.4819100Z [ RUN      ] atest.operators
2022-11-23T01:55:56.4819879Z [       OK ] atest.operators (0 ms)
2022-11-23T01:55:56.4820167Z [ RUN      ] atest.logical_and_operators
2022-11-23T01:55:56.4822379Z [       OK ] atest.logical_and_operators (0 ms)
2022-11-23T01:55:56.4822741Z [ RUN      ] atest.logical_or_operators
2022-11-23T01:55:56.4823177Z [       OK ] atest.logical_or_operators (0 ms)
2022-11-23T01:55:56.4823469Z [ RUN      ] atest.logical_xor_operators
2022-11-23T01:55:56.4823751Z [       OK ] atest.logical_xor_operators (0 ms)
2022-11-23T01:55:56.4824027Z [ RUN      ] atest.lt_operators
2022-11-23T01:55:56.4828149Z [       OK ] atest.lt_operators (0 ms)
2022-11-23T01:55:56.4828617Z [ RUN      ] atest.le_operators
2022-11-23T01:55:56.4829055Z [       OK ] atest.le_operators (0 ms)
2022-11-23T01:55:56.4829478Z [ RUN      ] atest.gt_operators
2022-11-23T01:55:56.4829892Z [       OK ] atest.gt_operators (0 ms)
2022-11-23T01:55:56.4830172Z [ RUN      ] atest.ge_operators
2022-11-23T01:55:56.4830570Z [       OK ] atest.ge_operators (0 ms)
2022-11-23T01:55:56.4830889Z [ RUN      ] atest.eq_operators
2022-11-23T01:55:56.4831149Z [       OK ] atest.eq_operators (0 ms)
2022-11-23T01:55:56.4831413Z [ RUN      ] atest.ne_operators
2022-11-23T01:55:56.4831746Z [       OK ] atest.ne_operators (0 ms)
2022-11-23T01:55:56.4831991Z [ RUN      ] atest.add_operators
2022-11-23T01:55:56.4832258Z [       OK ] atest.add_operators (0 ms)
2022-11-23T01:55:56.4832583Z [ RUN      ] atest.max_operators
2022-11-23T01:55:56.4838965Z [       OK ] atest.max_operators (0 ms)
2022-11-23T01:55:56.4839440Z [ RUN      ] atest.min_operators
2022-11-23T01:55:56.4839875Z [       OK ] atest.min_operators (0 ms)
2022-11-23T01:55:56.4840353Z [ RUN      ] atest.sigmoid_backward_operator
2022-11-23T01:55:56.4840839Z [       OK ] atest.sigmoid_backward_operator (0 ms)
2022-11-23T01:55:56.4841266Z [ RUN      ] atest.fmod_tensor_operators
2022-11-23T01:55:56.4841886Z [       OK ] atest.fmod_tensor_operators (0 ms)
2022-11-23T01:55:56.4842169Z [ RUN      ] atest.atest
2022-11-23T01:55:56.4981379Z [       OK ] atest.atest (13 ms)
2022-11-23T01:55:56.4981919Z [----------] 16 tests from atest (16 ms total)
2022-11-23T01:55:56.4982202Z 
2022-11-23T01:55:56.4982404Z [----------] Global test environment tear-down
2022-11-23T01:55:56.4982722Z [==========] 16 tests from 1 test suite ran. (16 ms total)
2022-11-23T01:55:56.4983004Z [  PASSED  ] 16 tests.
2022-11-23T01:55:56.5697222Z + ./scalar_test
2022-11-23T01:55:56.8853263Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:56.8853861Z [==========] Running 4 tests from 1 test suite.
2022-11-23T01:55:56.8854183Z [----------] Global test environment set-up.
2022-11-23T01:55:56.8854522Z [----------] 4 tests from TestScalar
2022-11-23T01:55:56.8854782Z [ RUN      ] TestScalar.TestScalar
2022-11-23T01:55:56.8855015Z H2: 3 257 3 1
2022-11-23T01:55:56.8994767Z [       OK ] TestScalar.TestScalar (14 ms)
2022-11-23T01:55:56.8995147Z [ RUN      ] TestScalar.TestConj
2022-11-23T01:55:56.8995446Z [       OK ] TestScalar.TestConj (0 ms)
2022-11-23T01:55:56.8995723Z [ RUN      ] TestScalar.TestEqual
2022-11-23T01:55:56.8995989Z [       OK ] TestScalar.TestEqual (0 ms)
2022-11-23T01:55:56.8996468Z [ RUN      ] TestScalar.TestFormatting
2022-11-23T01:55:56.8996774Z [       OK ] TestScalar.TestFormatting (0 ms)
2022-11-23T01:55:56.8997096Z [----------] 4 tests from TestScalar (14 ms total)
2022-11-23T01:55:56.8997234Z 
2022-11-23T01:55:56.8997399Z [----------] Global test environment tear-down
2022-11-23T01:55:56.8997706Z [==========] 4 tests from 1 test suite ran. (14 ms total)
2022-11-23T01:55:56.8997966Z [  PASSED  ] 4 tests.
2022-11-23T01:55:56.9770061Z + ./broadcast_test
2022-11-23T01:55:57.2952207Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:57.2952890Z [==========] Running 1 test from 1 test suite.
2022-11-23T01:55:57.2953191Z [----------] Global test environment set-up.
2022-11-23T01:55:57.2953485Z [----------] 1 test from BroadcastTest
2022-11-23T01:55:57.2953771Z [ RUN      ] BroadcastTest.Broadcast
2022-11-23T01:55:57.3562319Z [       OK ] BroadcastTest.Broadcast (61 ms)
2022-11-23T01:55:57.3562932Z [----------] 1 test from BroadcastTest (61 ms total)
2022-11-23T01:55:57.3563195Z 
2022-11-23T01:55:57.3563372Z [----------] Global test environment tear-down
2022-11-23T01:55:57.3563691Z [==========] 1 test from 1 test suite ran. (61 ms total)
2022-11-23T01:55:57.3563933Z [  PASSED  ] 1 test.
2022-11-23T01:55:57.4286791Z + ./wrapdim_test
2022-11-23T01:55:57.7474040Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:57.7474909Z [==========] Running 1 test from 1 test suite.
2022-11-23T01:55:57.7475210Z [----------] Global test environment set-up.
2022-11-23T01:55:57.7475502Z [----------] 1 test from TestWrapdim
2022-11-23T01:55:57.7475783Z [ RUN      ] TestWrapdim.TestWrapdim
2022-11-23T01:55:57.7480492Z [       OK ] TestWrapdim.TestWrapdim (0 ms)
2022-11-23T01:55:57.7481137Z [----------] 1 test from TestWrapdim (0 ms total)
2022-11-23T01:55:57.7481341Z 
2022-11-23T01:55:57.7481511Z [----------] Global test environment tear-down
2022-11-23T01:55:57.7481816Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-11-23T01:55:57.7482060Z [  PASSED  ] 1 test.
2022-11-23T01:55:57.8207514Z + ./apply_utils_test
2022-11-23T01:55:58.1425499Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:58.1426209Z [==========] Running 6 tests from 1 test suite.
2022-11-23T01:55:58.1426505Z [----------] Global test environment set-up.
2022-11-23T01:55:58.1426837Z [----------] 6 tests from ApplyUtilsTest
2022-11-23T01:55:58.1427132Z [ RUN      ] ApplyUtilsTest.Contiguous2D
2022-11-23T01:55:58.1458138Z [       OK ] ApplyUtilsTest.Contiguous2D (3 ms)
2022-11-23T01:55:58.1458591Z [ RUN      ] ApplyUtilsTest.Small2D
2022-11-23T01:55:58.1458964Z [       OK ] ApplyUtilsTest.Small2D (0 ms)
2022-11-23T01:55:58.1459244Z [ RUN      ] ApplyUtilsTest._2D
2022-11-23T01:55:58.1469403Z [       OK ] ApplyUtilsTest._2D (1 ms)
2022-11-23T01:55:58.1469676Z [ RUN      ] ApplyUtilsTest._3D
2022-11-23T01:55:58.1470981Z [       OK ] ApplyUtilsTest._3D (0 ms)
2022-11-23T01:55:58.1471302Z [ RUN      ] ApplyUtilsTest.Medium3D
2022-11-23T01:55:58.1483073Z [       OK ] ApplyUtilsTest.Medium3D (1 ms)
2022-11-23T01:55:58.1483489Z [ RUN      ] ApplyUtilsTest._10D
2022-11-23T01:55:58.2219657Z [       OK ] ApplyUtilsTest._10D (73 ms)
2022-11-23T01:55:58.2220260Z [----------] 6 tests from ApplyUtilsTest (79 ms total)
2022-11-23T01:55:58.2220429Z 
2022-11-23T01:55:58.2220607Z [----------] Global test environment tear-down
2022-11-23T01:55:58.2220912Z [==========] 6 tests from 1 test suite ran. (79 ms total)
2022-11-23T01:55:58.2221173Z [  PASSED  ] 6 tests.
2022-11-23T01:55:58.2962597Z + ./dlconvertor_test
2022-11-23T01:55:58.6154994Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:58.6155693Z [==========] Running 2 tests from 1 test suite.
2022-11-23T01:55:58.6156154Z [----------] Global test environment set-up.
2022-11-23T01:55:58.6156639Z [----------] 2 tests from TestDlconvertor
2022-11-23T01:55:58.6157112Z [ RUN      ] TestDlconvertor.TestDlconvertor
2022-11-23T01:55:58.6158478Z [       OK ] TestDlconvertor.TestDlconvertor (0 ms)
2022-11-23T01:55:58.6158967Z [ RUN      ] TestDlconvertor.TestDlconvertorNoStrides
2022-11-23T01:55:58.6159866Z [       OK ] TestDlconvertor.TestDlconvertorNoStrides (0 ms)
2022-11-23T01:55:58.6160426Z [----------] 2 tests from TestDlconvertor (0 ms total)
2022-11-23T01:55:58.6160674Z 
2022-11-23T01:55:58.6160934Z [----------] Global test environment tear-down
2022-11-23T01:55:58.6161421Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-11-23T01:55:58.6161812Z [  PASSED  ] 2 tests.
2022-11-23T01:55:58.6871425Z + ./native_test
2022-11-23T01:55:59.0065058Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:59.0065784Z [==========] Running 2 tests from 1 test suite.
2022-11-23T01:55:59.0066264Z [----------] Global test environment set-up.
2022-11-23T01:55:59.0066698Z [----------] 2 tests from TestNative
2022-11-23T01:55:59.0067147Z [ RUN      ] TestNative.NativeTestCPU
2022-11-23T01:55:59.0256623Z [W TensorCompare.cpp:491] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator())
2022-11-23T01:55:59.0265222Z [       OK ] TestNative.NativeTestCPU (20 ms)
2022-11-23T01:55:59.0265794Z [ RUN      ] TestNative.NativeTestGPU
2022-11-23T01:55:59.0266187Z [       OK ] TestNative.NativeTestGPU (0 ms)
2022-11-23T01:55:59.0266519Z [----------] 2 tests from TestNative (20 ms total)
2022-11-23T01:55:59.0266672Z 
2022-11-23T01:55:59.0266839Z [----------] Global test environment tear-down
2022-11-23T01:55:59.0267141Z [==========] 2 tests from 1 test suite ran. (20 ms total)
2022-11-23T01:55:59.0267403Z [  PASSED  ] 2 tests.
2022-11-23T01:55:59.0998202Z + ./scalar_tensor_test
2022-11-23T01:55:59.4152766Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:55:59.4153495Z [==========] Running 3 tests from 1 test suite.
2022-11-23T01:55:59.4153955Z [----------] Global test environment set-up.
2022-11-23T01:55:59.4154430Z [----------] 3 tests from TestScalarTensor
2022-11-23T01:55:59.4155005Z [ RUN      ] TestScalarTensor.TestScalarTensorCPU
2022-11-23T01:55:59.6315278Z [       OK ] TestScalarTensor.TestScalarTensorCPU (216 ms)
2022-11-23T01:55:59.6315830Z [ RUN      ] TestScalarTensor.TestScalarTensorCUDA
2022-11-23T01:55:59.6316210Z [       OK ] TestScalarTensor.TestScalarTensorCUDA (0 ms)
2022-11-23T01:55:59.6316646Z [ RUN      ] TestScalarTensor.TestScalarTensorMPS
2022-11-23T01:55:59.6316995Z [       OK ] TestScalarTensor.TestScalarTensorMPS (0 ms)
2022-11-23T01:55:59.6317422Z [----------] 3 tests from TestScalarTensor (216 ms total)
2022-11-23T01:55:59.6317584Z 
2022-11-23T01:55:59.6317752Z [----------] Global test environment tear-down
2022-11-23T01:55:59.6318128Z [==========] 3 tests from 1 test suite ran. (216 ms total)
2022-11-23T01:55:59.6318376Z [  PASSED  ] 3 tests.
2022-11-23T01:55:59.7034962Z + [[ -x ./tensor_interop_test ]]
2022-11-23T01:55:59.7035186Z + ./undefined_tensor_test
2022-11-23T01:56:00.0211021Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:00.0211542Z [==========] Running 1 test from 1 test suite.
2022-11-23T01:56:00.0211833Z [----------] Global test environment set-up.
2022-11-23T01:56:00.0212129Z [----------] 1 test from TestUndefined
2022-11-23T01:56:00.0212421Z [ RUN      ] TestUndefined.UndefinedTest
2022-11-23T01:56:00.0525286Z [       OK ] TestUndefined.UndefinedTest (31 ms)
2022-11-23T01:56:00.0525672Z [----------] 1 test from TestUndefined (31 ms total)
2022-11-23T01:56:00.0525828Z 
2022-11-23T01:56:00.0525999Z [----------] Global test environment tear-down
2022-11-23T01:56:00.0526443Z [==========] 1 test from 1 test suite ran. (31 ms total)
2022-11-23T01:56:00.0526685Z [  PASSED  ] 1 test.
2022-11-23T01:56:00.1241638Z + ./extension_backend_test
2022-11-23T01:56:00.4401508Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:00.4402285Z [==========] Running 1 test from 1 test suite.
2022-11-23T01:56:00.4402630Z [----------] Global test environment set-up.
2022-11-23T01:56:00.4403179Z [----------] 1 test from BackendExtensionTest
2022-11-23T01:56:00.4403765Z [ RUN      ] BackendExtensionTest.TestRegisterOp
2022-11-23T01:56:00.4404118Z [       OK ] BackendExtensionTest.TestRegisterOp (0 ms)
2022-11-23T01:56:00.4404483Z [----------] 1 test from BackendExtensionTest (0 ms total)
2022-11-23T01:56:00.4404652Z 
2022-11-23T01:56:00.4404817Z [----------] Global test environment tear-down
2022-11-23T01:56:00.4405110Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-11-23T01:56:00.4405373Z [  PASSED  ] 1 test.
2022-11-23T01:56:00.5102787Z + ./lazy_tensor_test
2022-11-23T01:56:00.8298581Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:00.8299302Z [==========] Running 2 tests from 2 test suites.
2022-11-23T01:56:00.8299782Z [----------] Global test environment set-up.
2022-11-23T01:56:00.8300239Z [----------] 1 test from XlaTensorTest
2022-11-23T01:56:00.8300692Z [ RUN      ] XlaTensorTest.TestNoStorage
2022-11-23T01:56:00.8301221Z [       OK ] XlaTensorTest.TestNoStorage (0 ms)
2022-11-23T01:56:00.8301748Z [----------] 1 test from XlaTensorTest (0 ms total)
2022-11-23T01:56:00.8302002Z 
2022-11-23T01:56:00.8302246Z [----------] 1 test from LazyTensorTest
2022-11-23T01:56:00.8302723Z [ RUN      ] LazyTensorTest.TestNoStorage
2022-11-23T01:56:00.8303252Z [       OK ] LazyTensorTest.TestNoStorage (0 ms)
2022-11-23T01:56:00.8303783Z [----------] 1 test from LazyTensorTest (0 ms total)
2022-11-23T01:56:00.8304036Z 
2022-11-23T01:56:00.8304316Z [----------] Global test environment tear-down
2022-11-23T01:56:00.8304799Z [==========] 2 tests from 2 test suites ran. (0 ms total)
2022-11-23T01:56:00.8305187Z [  PASSED  ] 2 tests.
2022-11-23T01:56:00.9014658Z + ./tensor_iterator_test
2022-11-23T01:56:01.2210619Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:01.2211338Z [==========] Running 65 tests from 1 test suite.
2022-11-23T01:56:01.2211706Z [----------] Global test environment set-up.
2022-11-23T01:56:01.2212025Z [----------] 65 tests from TensorIteratorTest
2022-11-23T01:56:01.2212331Z [ RUN      ] TensorIteratorTest.CPUScalar
2022-11-23T01:56:01.2212655Z [       OK ] TensorIteratorTest.CPUScalar (0 ms)
2022-11-23T01:56:01.2212987Z [ RUN      ] TensorIteratorTest.CPUScalarInputs
2022-11-23T01:56:01.2213338Z [       OK ] TensorIteratorTest.CPUScalarInputs (0 ms)
2022-11-23T01:56:01.2213676Z [ RUN      ] TensorIteratorTest.MixedDevices
2022-11-23T01:56:01.2214009Z [       OK ] TensorIteratorTest.MixedDevices (0 ms)
2022-11-23T01:56:01.2214536Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Byte
2022-11-23T01:56:01.2235351Z [       OK ] TensorIteratorTest.SerialLoopUnary_Byte (2 ms)
2022-11-23T01:56:01.2236000Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Char
2022-11-23T01:56:01.2252816Z [       OK ] TensorIteratorTest.SerialLoopUnary_Char (1 ms)
2022-11-23T01:56:01.2253422Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Short
2022-11-23T01:56:01.2270446Z [       OK ] TensorIteratorTest.SerialLoopUnary_Short (1 ms)
2022-11-23T01:56:01.2270984Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Int
2022-11-23T01:56:01.2287807Z [       OK ] TensorIteratorTest.SerialLoopUnary_Int (1 ms)
2022-11-23T01:56:01.2288430Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Long
2022-11-23T01:56:01.2305146Z [       OK ] TensorIteratorTest.SerialLoopUnary_Long (1 ms)
2022-11-23T01:56:01.2305748Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Float
2022-11-23T01:56:01.2322886Z [       OK ] TensorIteratorTest.SerialLoopUnary_Float (1 ms)
2022-11-23T01:56:01.2323460Z [ RUN      ] TensorIteratorTest.SerialLoopUnary_Double
2022-11-23T01:56:01.2340607Z [       OK ] TensorIteratorTest.SerialLoopUnary_Double (1 ms)
2022-11-23T01:56:01.2341243Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Byte
2022-11-23T01:56:01.2357580Z [       OK ] TensorIteratorTest.SerialLoopBinary_Byte (1 ms)
2022-11-23T01:56:01.2358168Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Char
2022-11-23T01:56:01.2374670Z [       OK ] TensorIteratorTest.SerialLoopBinary_Char (1 ms)
2022-11-23T01:56:01.2375252Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Short
2022-11-23T01:56:01.2391985Z [       OK ] TensorIteratorTest.SerialLoopBinary_Short (1 ms)
2022-11-23T01:56:01.2392586Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Int
2022-11-23T01:56:01.2409137Z [       OK ] TensorIteratorTest.SerialLoopBinary_Int (1 ms)
2022-11-23T01:56:01.2409498Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Long
2022-11-23T01:56:01.2426291Z [       OK ] TensorIteratorTest.SerialLoopBinary_Long (1 ms)
2022-11-23T01:56:01.2426669Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Float
2022-11-23T01:56:01.2443524Z [       OK ] TensorIteratorTest.SerialLoopBinary_Float (1 ms)
2022-11-23T01:56:01.2443907Z [ RUN      ] TensorIteratorTest.SerialLoopBinary_Double
2022-11-23T01:56:01.2461076Z [       OK ] TensorIteratorTest.SerialLoopBinary_Double (1 ms)
2022-11-23T01:56:01.2461478Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Byte
2022-11-23T01:56:01.2478151Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Byte (1 ms)
2022-11-23T01:56:01.2478594Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Char
2022-11-23T01:56:01.2495184Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Char (1 ms)
2022-11-23T01:56:01.2495573Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Short
2022-11-23T01:56:01.2512665Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Short (1 ms)
2022-11-23T01:56:01.2513120Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Int
2022-11-23T01:56:01.2529651Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Int (1 ms)
2022-11-23T01:56:01.2530031Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Long
2022-11-23T01:56:01.2547014Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Long (1 ms)
2022-11-23T01:56:01.2547408Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Float
2022-11-23T01:56:01.2564235Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Float (1 ms)
2022-11-23T01:56:01.2564618Z [ RUN      ] TensorIteratorTest.SerialLoopPointwise_Double
2022-11-23T01:56:01.2582285Z [       OK ] TensorIteratorTest.SerialLoopPointwise_Double (1 ms)
2022-11-23T01:56:01.2583172Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Byte
2022-11-23T01:56:01.2583946Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Byte (0 ms)
2022-11-23T01:56:01.2584689Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Char
2022-11-23T01:56:01.2585388Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Char (0 ms)
2022-11-23T01:56:01.2586138Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Short
2022-11-23T01:56:01.2586896Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Short (0 ms)
2022-11-23T01:56:01.2587534Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Int
2022-11-23T01:56:01.2588024Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Int (0 ms)
2022-11-23T01:56:01.2588432Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Long
2022-11-23T01:56:01.2588829Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Long (0 ms)
2022-11-23T01:56:01.2589245Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Float
2022-11-23T01:56:01.2589659Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Float (0 ms)
2022-11-23T01:56:01.2590057Z [ RUN      ] TensorIteratorTest.SerialLoopUnaryNoOutput_Double
2022-11-23T01:56:01.2590472Z [       OK ] TensorIteratorTest.SerialLoopUnaryNoOutput_Double (0 ms)
2022-11-23T01:56:01.2590885Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Byte
2022-11-23T01:56:01.2591291Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Byte (0 ms)
2022-11-23T01:56:01.2591705Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Char
2022-11-23T01:56:01.2592119Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Char (0 ms)
2022-11-23T01:56:01.2592531Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Short
2022-11-23T01:56:01.2592940Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Short (0 ms)
2022-11-23T01:56:01.2593378Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Int
2022-11-23T01:56:01.2593877Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Int (0 ms)
2022-11-23T01:56:01.2594469Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Long
2022-11-23T01:56:01.2595264Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Long (0 ms)
2022-11-23T01:56:01.2596013Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Float
2022-11-23T01:56:01.2596792Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Float (0 ms)
2022-11-23T01:56:01.2597536Z [ RUN      ] TensorIteratorTest.SerialLoopBinaryNoOutput_Double
2022-11-23T01:56:01.2598295Z [       OK ] TensorIteratorTest.SerialLoopBinaryNoOutput_Double (0 ms)
2022-11-23T01:56:01.2598967Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Byte
2022-11-23T01:56:01.2599408Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Byte (0 ms)
2022-11-23T01:56:01.2599819Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Char
2022-11-23T01:56:01.2600251Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Char (0 ms)
2022-11-23T01:56:01.2600679Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Short
2022-11-23T01:56:01.2601102Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Short (0 ms)
2022-11-23T01:56:01.2601530Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Int
2022-11-23T01:56:01.2601954Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Int (0 ms)
2022-11-23T01:56:01.2602388Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Long
2022-11-23T01:56:01.2602805Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Long (0 ms)
2022-11-23T01:56:01.2603232Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Float
2022-11-23T01:56:01.2603723Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Float (0 ms)
2022-11-23T01:56:01.2604142Z [ RUN      ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Double
2022-11-23T01:56:01.2604577Z [       OK ] TensorIteratorTest.SerialLoopPoinwiseNoOutput_Double (0 ms)
2022-11-23T01:56:01.2604988Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Byte
2022-11-23T01:56:01.2605385Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Byte (0 ms)
2022-11-23T01:56:01.2605760Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Char
2022-11-23T01:56:01.2606154Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Char (0 ms)
2022-11-23T01:56:01.2606580Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Short
2022-11-23T01:56:01.2606967Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Short (0 ms)
2022-11-23T01:56:01.2607356Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Int
2022-11-23T01:56:01.2607752Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Int (0 ms)
2022-11-23T01:56:01.2608142Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Long
2022-11-23T01:56:01.2608524Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Long (0 ms)
2022-11-23T01:56:01.2608919Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Float
2022-11-23T01:56:01.2609317Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Float (0 ms)
2022-11-23T01:56:01.2609700Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Double
2022-11-23T01:56:01.2610103Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Double (0 ms)
2022-11-23T01:56:01.2610497Z [ RUN      ] TensorIteratorTest.ComparisonLoopBinary_Bool
2022-11-23T01:56:01.2610892Z [       OK ] TensorIteratorTest.ComparisonLoopBinary_Bool (0 ms)
2022-11-23T01:56:01.2611266Z [ RUN      ] TensorIteratorTest.SerialLoopSingleThread
2022-11-23T01:56:01.2663212Z [       OK ] TensorIteratorTest.SerialLoopSingleThread (6 ms)
2022-11-23T01:56:01.2663869Z [ RUN      ] TensorIteratorTest.InputDType
2022-11-23T01:56:01.2664451Z [       OK ] TensorIteratorTest.InputDType (0 ms)
2022-11-23T01:56:01.2664841Z [ RUN      ] TensorIteratorTest.ComputeCommonDTypeInputOnly
2022-11-23T01:56:01.2665271Z [       OK ] TensorIteratorTest.ComputeCommonDTypeInputOnly (0 ms)
2022-11-23T01:56:01.2665716Z [ RUN      ] TensorIteratorTest.DoNotComputeCommonDTypeInputOnly
2022-11-23T01:56:01.2666161Z [       OK ] TensorIteratorTest.DoNotComputeCommonDTypeInputOnly (0 ms)
2022-11-23T01:56:01.2666594Z [ RUN      ] TensorIteratorTest.FailNonPromotingBinaryOp
2022-11-23T01:56:01.2673252Z [       OK ] TensorIteratorTest.FailNonPromotingBinaryOp (0 ms)
2022-11-23T01:56:01.2673905Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Byte
2022-11-23T01:56:01.2674689Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Byte (0 ms)
2022-11-23T01:56:01.2675358Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Char
2022-11-23T01:56:01.2676036Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Char (0 ms)
2022-11-23T01:56:01.2676699Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Short
2022-11-23T01:56:01.2677279Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Short (0 ms)
2022-11-23T01:56:01.2677699Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Int
2022-11-23T01:56:01.2678121Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Int (0 ms)
2022-11-23T01:56:01.2678530Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Long
2022-11-23T01:56:01.2678957Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Long (0 ms)
2022-11-23T01:56:01.2679372Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Float
2022-11-23T01:56:01.2679919Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Float (0 ms)
2022-11-23T01:56:01.2680344Z [ RUN      ] TensorIteratorTest.CpuKernelMultipleOutputs_Double
2022-11-23T01:56:01.2680767Z [       OK ] TensorIteratorTest.CpuKernelMultipleOutputs_Double (0 ms)
2022-11-23T01:56:01.2681150Z [----------] 65 tests from TensorIteratorTest (46 ms total)
2022-11-23T01:56:01.2681324Z 
2022-11-23T01:56:01.2681495Z [----------] Global test environment tear-down
2022-11-23T01:56:01.2681812Z [==========] 65 tests from 1 test suite ran. (46 ms total)
2022-11-23T01:56:01.2682072Z [  PASSED  ] 65 tests.
2022-11-23T01:56:01.3426159Z + ./Dimname_test
2022-11-23T01:56:01.6603913Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:01.6604702Z [==========] Running 4 tests from 1 test suite.
2022-11-23T01:56:01.6605073Z [----------] Global test environment set-up.
2022-11-23T01:56:01.6605365Z [----------] 4 tests from DimnameTest
2022-11-23T01:56:01.6605661Z [ RUN      ] DimnameTest.isValidIdentifier
2022-11-23T01:56:01.6605990Z [       OK ] DimnameTest.isValidIdentifier (0 ms)
2022-11-23T01:56:01.6606280Z [ RUN      ] DimnameTest.wildcardName
2022-11-23T01:56:01.6606576Z [       OK ] DimnameTest.wildcardName (0 ms)
2022-11-23T01:56:01.6606877Z [ RUN      ] DimnameTest.createNormalName
2022-11-23T01:56:01.6622508Z [       OK ] DimnameTest.createNormalName (1 ms)
2022-11-23T01:56:01.6623007Z [ RUN      ] DimnameTest.unifyAndMatch
2022-11-23T01:56:01.6623589Z [       OK ] DimnameTest.unifyAndMatch (0 ms)
2022-11-23T01:56:01.6623951Z [----------] 4 tests from DimnameTest (1 ms total)
2022-11-23T01:56:01.6624088Z 
2022-11-23T01:56:01.6624252Z [----------] Global test environment tear-down
2022-11-23T01:56:01.6624556Z [==========] 4 tests from 1 test suite ran. (1 ms total)
2022-11-23T01:56:01.6624814Z [  PASSED  ] 4 tests.
2022-11-23T01:56:01.7340833Z + ./Dict_test
2022-11-23T01:56:02.0505337Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:02.0506143Z [==========] Running 47 tests from 2 test suites.
2022-11-23T01:56:02.0506694Z [----------] Global test environment set-up.
2022-11-23T01:56:02.0507193Z [----------] 46 tests from DictTest
2022-11-23T01:56:02.0507845Z [ RUN      ] DictTest.givenEmptyDict_whenCallingEmpty_thenReturnsTrue
2022-11-23T01:56:02.0508536Z [       OK ] DictTest.givenEmptyDict_whenCallingEmpty_thenReturnsTrue (0 ms)
2022-11-23T01:56:02.0509201Z [ RUN      ] DictTest.givenNonemptyDict_whenCallingEmpty_thenReturnsFalse
2022-11-23T01:56:02.0509961Z [       OK ] DictTest.givenNonemptyDict_whenCallingEmpty_thenReturnsFalse (0 ms)
2022-11-23T01:56:02.0510710Z [ RUN      ] DictTest.givenEmptyDict_whenCallingSize_thenReturnsZero
2022-11-23T01:56:02.0511289Z [       OK ] DictTest.givenEmptyDict_whenCallingSize_thenReturnsZero (0 ms)
2022-11-23T01:56:02.0511946Z [ RUN      ] DictTest.givenNonemptyDict_whenCallingSize_thenReturnsNumberOfElements
2022-11-23T01:56:02.0512726Z [       OK ] DictTest.givenNonemptyDict_whenCallingSize_thenReturnsNumberOfElements (0 ms)
2022-11-23T01:56:02.0513155Z [ RUN      ] DictTest.givenNonemptyDict_whenCallingClear_thenIsEmpty
2022-11-23T01:56:02.0513552Z [       OK ] DictTest.givenNonemptyDict_whenCallingClear_thenIsEmpty (0 ms)
2022-11-23T01:56:02.0513974Z [ RUN      ] DictTest.whenInsertingNewKey_thenReturnsTrueAndIteratorToNewElement
2022-11-23T01:56:02.0514646Z [       OK ] DictTest.whenInsertingNewKey_thenReturnsTrueAndIteratorToNewElement (0 ms)
2022-11-23T01:56:02.0515514Z [ RUN      ] DictTest.whenInsertingExistingKey_thenReturnsFalseAndIteratorToExistingElement
2022-11-23T01:56:02.0516826Z [       OK ] DictTest.whenInsertingExistingKey_thenReturnsFalseAndIteratorToExistingElement (0 ms)
2022-11-23T01:56:02.0517645Z [ RUN      ] DictTest.whenInsertingExistingKey_thenDoesNotModifyDict
2022-11-23T01:56:02.0518383Z [       OK ] DictTest.whenInsertingExistingKey_thenDoesNotModifyDict (0 ms)
2022-11-23T01:56:02.0518858Z [ RUN      ] DictTest.whenInsertOrAssigningNewKey_thenReturnsTrueAndIteratorToNewElement
2022-11-23T01:56:02.0519377Z [       OK ] DictTest.whenInsertOrAssigningNewKey_thenReturnsTrueAndIteratorToNewElement (0 ms)
2022-11-23T01:56:02.0519914Z [ RUN      ] DictTest.whenInsertOrAssigningExistingKey_thenReturnsFalseAndIteratorToChangedElement
2022-11-23T01:56:02.0520553Z [       OK ] DictTest.whenInsertOrAssigningExistingKey_thenReturnsFalseAndIteratorToChangedElement (0 ms)
2022-11-23T01:56:02.0521052Z [ RUN      ] DictTest.whenInsertOrAssigningExistingKey_thenDoesModifyDict
2022-11-23T01:56:02.0521487Z [       OK ] DictTest.whenInsertOrAssigningExistingKey_thenDoesModifyDict (0 ms)
2022-11-23T01:56:02.0521894Z [ RUN      ] DictTest.givenEmptyDict_whenIterating_thenBeginIsEnd
2022-11-23T01:56:02.0522281Z [       OK ] DictTest.givenEmptyDict_whenIterating_thenBeginIsEnd (0 ms)
2022-11-23T01:56:02.0522667Z [ RUN      ] DictTest.givenMutableDict_whenIterating_thenFindsElements
2022-11-23T01:56:02.0523055Z [       OK ] DictTest.givenMutableDict_whenIterating_thenFindsElements (0 ms)
2022-11-23T01:56:02.0523480Z [ RUN      ] DictTest.givenMutableDict_whenIteratingWithForeach_thenFindsElements
2022-11-23T01:56:02.0523930Z [       OK ] DictTest.givenMutableDict_whenIteratingWithForeach_thenFindsElements (0 ms)
2022-11-23T01:56:02.0524334Z [ RUN      ] DictTest.givenConstDict_whenIterating_thenFindsElements
2022-11-23T01:56:02.0524775Z [       OK ] DictTest.givenConstDict_whenIterating_thenFindsElements (0 ms)
2022-11-23T01:56:02.0525176Z [ RUN      ] DictTest.givenConstDict_whenIteratingWithForeach_thenFindsElements
2022-11-23T01:56:02.0525612Z [       OK ] DictTest.givenConstDict_whenIteratingWithForeach_thenFindsElements (0 ms)
2022-11-23T01:56:02.0525989Z [ RUN      ] DictTest.givenIterator_thenCanModifyValue
2022-11-23T01:56:02.0526325Z [       OK ] DictTest.givenIterator_thenCanModifyValue (0 ms)
2022-11-23T01:56:02.0526727Z [ RUN      ] DictTest.givenOneElementDict_whenErasingByIterator_thenDictIsEmpty
2022-11-23T01:56:02.0527168Z [       OK ] DictTest.givenOneElementDict_whenErasingByIterator_thenDictIsEmpty (0 ms)
2022-11-23T01:56:02.0527623Z [ RUN      ] DictTest.givenOneElementDict_whenErasingByKey_thenReturnsOneAndDictIsEmpty
2022-11-23T01:56:02.0528084Z [       OK ] DictTest.givenOneElementDict_whenErasingByKey_thenReturnsOneAndDictIsEmpty (0 ms)
2022-11-23T01:56:02.0528592Z [ RUN      ] DictTest.givenOneElementDict_whenErasingByNonexistingKey_thenReturnsZeroAndDictIsUnchanged
2022-11-23T01:56:02.0529140Z [       OK ] DictTest.givenOneElementDict_whenErasingByNonexistingKey_thenReturnsZeroAndDictIsUnchanged (0 ms)
2022-11-23T01:56:02.0529615Z [ RUN      ] DictTest.whenCallingAtWithExistingKey_thenReturnsCorrectElement
2022-11-23T01:56:02.0530072Z [       OK ] DictTest.whenCallingAtWithExistingKey_thenReturnsCorrectElement (0 ms)
2022-11-23T01:56:02.0530534Z [ RUN      ] DictTest.whenCallingAtWithNonExistingKey_thenReturnsCorrectElement
2022-11-23T01:56:02.0531005Z [       OK ] DictTest.whenCallingAtWithNonExistingKey_thenReturnsCorrectElement (0 ms)
2022-11-23T01:56:02.0531475Z [ RUN      ] DictTest.givenMutableDict_whenCallingFindOnExistingKey_thenFindsCorrectElement
2022-11-23T01:56:02.0531964Z [       OK ] DictTest.givenMutableDict_whenCallingFindOnExistingKey_thenFindsCorrectElement (0 ms)
2022-11-23T01:56:02.0532475Z [ RUN      ] DictTest.givenMutableDict_whenCallingFindOnNonExistingKey_thenReturnsEnd
2022-11-23T01:56:02.0532948Z [       OK ] DictTest.givenMutableDict_whenCallingFindOnNonExistingKey_thenReturnsEnd (0 ms)
2022-11-23T01:56:02.0533408Z [ RUN      ] DictTest.givenConstDict_whenCallingFindOnExistingKey_thenFindsCorrectElement
2022-11-23T01:56:02.0533885Z [       OK ] DictTest.givenConstDict_whenCallingFindOnExistingKey_thenFindsCorrectElement (0 ms)
2022-11-23T01:56:02.0534348Z [ RUN      ] DictTest.givenConstDict_whenCallingFindOnNonExistingKey_thenReturnsEnd
2022-11-23T01:56:02.0534794Z [       OK ] DictTest.givenConstDict_whenCallingFindOnNonExistingKey_thenReturnsEnd (0 ms)
2022-11-23T01:56:02.0535277Z [ RUN      ] DictTest.whenCallingContainsWithExistingKey_thenReturnsTrue
2022-11-23T01:56:02.0535728Z [       OK ] DictTest.whenCallingContainsWithExistingKey_thenReturnsTrue (0 ms)
2022-11-23T01:56:02.0536187Z [ RUN      ] DictTest.whenCallingContainsWithNonExistingKey_thenReturnsFalse
2022-11-23T01:56:02.0536899Z [       OK ] DictTest.whenCallingContainsWithNonExistingKey_thenReturnsFalse (0 ms)
2022-11-23T01:56:02.0537309Z [ RUN      ] DictTest.whenCallingReserve_thenDoesntCrash
2022-11-23T01:56:02.0537672Z [       OK ] DictTest.whenCallingReserve_thenDoesntCrash (0 ms)
2022-11-23T01:56:02.0538033Z [ RUN      ] DictTest.whenCopyConstructingDict_thenAreEqual
2022-11-23T01:56:02.0538418Z [       OK ] DictTest.whenCopyConstructingDict_thenAreEqual (0 ms)
2022-11-23T01:56:02.0538790Z [ RUN      ] DictTest.whenCopyAssigningDict_thenAreEqual
2022-11-23T01:56:02.0539160Z [       OK ] DictTest.whenCopyAssigningDict_thenAreEqual (0 ms)
2022-11-23T01:56:02.0539494Z [ RUN      ] DictTest.whenCopyingDict_thenAreEqual
2022-11-23T01:56:02.0539829Z [       OK ] DictTest.whenCopyingDict_thenAreEqual (0 ms)
2022-11-23T01:56:02.0540200Z [ RUN      ] DictTest.whenMoveConstructingDict_thenNewIsCorrect
2022-11-23T01:56:02.0540592Z [       OK ] DictTest.whenMoveConstructingDict_thenNewIsCorrect (0 ms)
2022-11-23T01:56:02.0540976Z [ RUN      ] DictTest.whenMoveAssigningDict_thenNewIsCorrect
2022-11-23T01:56:02.0541354Z [       OK ] DictTest.whenMoveAssigningDict_thenNewIsCorrect (0 ms)
2022-11-23T01:56:02.0541742Z [ RUN      ] DictTest.whenMoveConstructingDict_thenOldIsUnchanged
2022-11-23T01:56:02.0542132Z [       OK ] DictTest.whenMoveConstructingDict_thenOldIsUnchanged (0 ms)
2022-11-23T01:56:02.0542519Z [ RUN      ] DictTest.whenMoveAssigningDict_thenOldIsUnchanged
2022-11-23T01:56:02.0542908Z [       OK ] DictTest.whenMoveAssigningDict_thenOldIsUnchanged (0 ms)
2022-11-23T01:56:02.0543358Z [ RUN      ] DictTest.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition
2022-11-23T01:56:02.0543880Z [       OK ] DictTest.givenIterator_whenPostfixIncrementing_thenMovesToNextAndReturnsOldPosition (0 ms)
2022-11-23T01:56:02.0544391Z [ RUN      ] DictTest.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition
2022-11-23T01:56:02.0544908Z [       OK ] DictTest.givenIterator_whenPrefixIncrementing_thenMovesToNextAndReturnsNewPosition (0 ms)
2022-11-23T01:56:02.0545315Z [ RUN      ] DictTest.givenEqualIterators_thenAreEqual
2022-11-23T01:56:02.0545676Z [       OK ] DictTest.givenEqualIterators_thenAreEqual (0 ms)
2022-11-23T01:56:02.0546050Z [ RUN      ] DictTest.givenDifferentIterators_thenAreNotEqual
2022-11-23T01:56:02.0546427Z [       OK ] DictTest.givenDifferentIterators_thenAreNotEqual (0 ms)
2022-11-23T01:56:02.0546847Z [ RUN      ] DictTest.givenIterator_whenDereferencing_thenPointsToCorrectElement
2022-11-23T01:56:02.0547292Z [       OK ] DictTest.givenIterator_whenDereferencing_thenPointsToCorrectElement (0 ms)
2022-11-23T01:56:02.0547775Z [ RUN      ] DictTest.givenIterator_whenWritingToValue_thenChangesValue
2022-11-23T01:56:02.0548171Z [       OK ] DictTest.givenIterator_whenWritingToValue_thenChangesValue (0 ms)
2022-11-23T01:56:02.0548510Z [ RUN      ] DictTest.isReferenceType
2022-11-23T01:56:02.0548811Z [       OK ] DictTest.isReferenceType (0 ms)
2022-11-23T01:56:02.0549115Z [ RUN      ] DictTest.copyHasSeparateStorage
2022-11-23T01:56:02.0549454Z [       OK ] DictTest.copyHasSeparateStorage (0 ms)
2022-11-23T01:56:02.0549765Z [ RUN      ] DictTest.dictTensorAsKey
2022-11-23T01:56:02.0550063Z [       OK ] DictTest.dictTensorAsKey (0 ms)
2022-11-23T01:56:02.0550378Z [ RUN      ] DictTest.dictEquality
2022-11-23T01:56:02.0550667Z [       OK ] DictTest.dictEquality (0 ms)
2022-11-23T01:56:02.0550983Z [----------] 46 tests from DictTest (0 ms total)
2022-11-23T01:56:02.0551119Z 
2022-11-23T01:56:02.0551296Z [----------] 1 test from ListTest_IValueBasedList
2022-11-23T01:56:02.0551733Z [ RUN      ] ListTest_IValueBasedList.givenIterator_whenWritingToValueFromIterator_thenChangesValue
2022-11-23T01:56:02.0552255Z [       OK ] ListTest_IValueBasedList.givenIterator_whenWritingToValueFromIterator_thenChangesValue (0 ms)
2022-11-23T01:56:02.0552669Z [----------] 1 test from ListTest_IValueBasedList (0 ms total)
2022-11-23T01:56:02.0552837Z 
2022-11-23T01:56:02.0553004Z [----------] Global test environment tear-down
2022-11-23T01:56:02.0553315Z [==========] 47 tests from 2 test suites ran. (0 ms total)
2022-11-23T01:56:02.0553574Z [  PASSED  ] 47 tests.
2022-11-23T01:56:02.1210110Z + ./NamedTensor_test
2022-11-23T01:56:02.4378552Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:02.4379357Z [==========] Running 10 tests from 1 test suite.
2022-11-23T01:56:02.4379828Z [----------] Global test environment set-up.
2022-11-23T01:56:02.4380414Z [----------] 10 tests from NamedTensorTest
2022-11-23T01:56:02.4380775Z [ RUN      ] NamedTensorTest.isNamed
2022-11-23T01:56:02.4381222Z [W TensorImpl.h:1787] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator())
2022-11-23T01:56:02.4381706Z [       OK ] NamedTensorTest.isNamed (0 ms)
2022-11-23T01:56:02.4382002Z [ RUN      ] NamedTensorTest.attachMetadata
2022-11-23T01:56:02.4382329Z [       OK ] NamedTensorTest.attachMetadata (0 ms)
2022-11-23T01:56:02.4382684Z [ RUN      ] NamedTensorTest.internalSetNamesInplace
2022-11-23T01:56:02.4383047Z [       OK ] NamedTensorTest.internalSetNamesInplace (0 ms)
2022-11-23T01:56:02.4383369Z [ RUN      ] NamedTensorTest.empty
2022-11-23T01:56:02.4415463Z [       OK ] NamedTensorTest.empty (3 ms)
2022-11-23T01:56:02.4415799Z [ RUN      ] NamedTensorTest.dimnameToPosition
2022-11-23T01:56:02.4420926Z [       OK ] NamedTensorTest.dimnameToPosition (0 ms)
2022-11-23T01:56:02.4421263Z [ RUN      ] NamedTensorTest.unifyFromRight
2022-11-23T01:56:02.4490057Z [       OK ] NamedTensorTest.unifyFromRight (6 ms)
2022-11-23T01:56:02.4490567Z [ RUN      ] NamedTensorTest.alias
2022-11-23T01:56:02.4490875Z [       OK ] NamedTensorTest.alias (0 ms)
2022-11-23T01:56:02.4491175Z [ RUN      ] NamedTensorTest.NoNamesGuard
2022-11-23T01:56:02.4491481Z [       OK ] NamedTensorTest.NoNamesGuard (0 ms)
2022-11-23T01:56:02.4491819Z [ RUN      ] NamedTensorTest.TensorNamePrint
2022-11-23T01:56:02.4492152Z [       OK ] NamedTensorTest.TensorNamePrint (0 ms)
2022-11-23T01:56:02.4492490Z [ RUN      ] NamedTensorTest.TensorNamesCheckUnique
2022-11-23T01:56:02.4495438Z [       OK ] NamedTensorTest.TensorNamesCheckUnique (0 ms)
2022-11-23T01:56:02.4496156Z [----------] 10 tests from NamedTensorTest (11 ms total)
2022-11-23T01:56:02.4496329Z 
2022-11-23T01:56:02.4496616Z [----------] Global test environment tear-down
2022-11-23T01:56:02.4496916Z [==========] 10 tests from 1 test suite ran. (11 ms total)
2022-11-23T01:56:02.4497172Z [  PASSED  ] 10 tests.
2022-11-23T01:56:02.5206906Z + ./cpu_generator_test
2022-11-23T01:56:02.8347937Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:02.8349116Z [==========] Running 15 tests from 1 test suite.
2022-11-23T01:56:02.8349493Z [----------] Global test environment set-up.
2022-11-23T01:56:02.8350019Z [----------] 15 tests from CPUGeneratorImpl
2022-11-23T01:56:02.8350365Z [ RUN      ] CPUGeneratorImpl.TestGeneratorDynamicCast
2022-11-23T01:56:02.8350921Z [       OK ] CPUGeneratorImpl.TestGeneratorDynamicCast (0 ms)
2022-11-23T01:56:02.8351391Z [ RUN      ] CPUGeneratorImpl.TestDefaultGenerator
2022-11-23T01:56:02.8352006Z [       OK ] CPUGeneratorImpl.TestDefaultGenerator (0 ms)
2022-11-23T01:56:02.8352614Z [ RUN      ] CPUGeneratorImpl.TestCloning
2022-11-23T01:56:02.8353192Z [       OK ] CPUGeneratorImpl.TestCloning (0 ms)
2022-11-23T01:56:02.8353697Z [ RUN      ] CPUGeneratorImpl.TestMultithreadingGetEngineOperator
2022-11-23T01:56:02.8354171Z [       OK ] CPUGeneratorImpl.TestMultithreadingGetEngineOperator (0 ms)
2022-11-23T01:56:02.8354661Z [ RUN      ] CPUGeneratorImpl.TestGetSetCurrentSeed
2022-11-23T01:56:02.8355024Z [       OK ] CPUGeneratorImpl.TestGetSetCurrentSeed (0 ms)
2022-11-23T01:56:02.8355449Z [ RUN      ] CPUGeneratorImpl.TestMultithreadingGetSetCurrentSeed
2022-11-23T01:56:02.8355908Z [       OK ] CPUGeneratorImpl.TestMultithreadingGetSetCurrentSeed (0 ms)
2022-11-23T01:56:02.8356296Z [ RUN      ] CPUGeneratorImpl.TestRNGForking
2022-11-23T01:56:02.8373470Z [       OK ] CPUGeneratorImpl.TestRNGForking (2 ms)
2022-11-23T01:56:02.8374236Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineReproducibility
2022-11-23T01:56:02.8374709Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineReproducibility (0 ms)
2022-11-23T01:56:02.8375117Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineOffset1
2022-11-23T01:56:02.8375491Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineOffset1 (0 ms)
2022-11-23T01:56:02.8375870Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineOffset2
2022-11-23T01:56:02.8376250Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineOffset2 (0 ms)
2022-11-23T01:56:02.8376927Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineOffset3
2022-11-23T01:56:02.8377341Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineOffset3 (0 ms)
2022-11-23T01:56:02.8377751Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineIndex
2022-11-23T01:56:02.8379142Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineIndex (0 ms)
2022-11-23T01:56:02.8379548Z [ RUN      ] CPUGeneratorImpl.TestMT19937EngineReproducibility
2022-11-23T01:56:02.8380046Z [       OK ] CPUGeneratorImpl.TestMT19937EngineReproducibility (0 ms)
2022-11-23T01:56:02.8380488Z [ RUN      ] CPUGeneratorImpl.TestPhiloxEngineReproducibilityRandN
2022-11-23T01:56:02.8380949Z [       OK ] CPUGeneratorImpl.TestPhiloxEngineReproducibilityRandN (0 ms)
2022-11-23T01:56:02.8381371Z [ RUN      ] CPUGeneratorImpl.TestPhiloxDeterministic
2022-11-23T01:56:02.8381755Z [       OK ] CPUGeneratorImpl.TestPhiloxDeterministic (0 ms)
2022-11-23T01:56:02.8382117Z [----------] 15 tests from CPUGeneratorImpl (3 ms total)
2022-11-23T01:56:02.8382279Z 
2022-11-23T01:56:02.8382444Z [----------] Global test environment tear-down
2022-11-23T01:56:02.8382749Z [==========] 15 tests from 1 test suite ran. (3 ms total)
2022-11-23T01:56:02.8383004Z [  PASSED  ] 15 tests.
2022-11-23T01:56:02.9090667Z + ./vmap_test
2022-11-23T01:56:03.2303993Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:03.2304740Z [==========] Running 23 tests from 1 test suite.
2022-11-23T01:56:03.2305263Z [----------] Global test environment set-up.
2022-11-23T01:56:03.2305769Z [----------] 23 tests from VmapTest
2022-11-23T01:56:03.2306236Z [ RUN      ] VmapTest.TestBatchedTensor
2022-11-23T01:56:03.2328462Z [       OK ] VmapTest.TestBatchedTensor (2 ms)
2022-11-23T01:56:03.2329098Z [ RUN      ] VmapTest.TestBatchedTensorMaxLevel
2022-11-23T01:56:03.2343818Z [       OK ] VmapTest.TestBatchedTensorMaxLevel (1 ms)
2022-11-23T01:56:03.2344487Z [ RUN      ] VmapTest.TestBatchedTensorActualDim
2022-11-23T01:56:03.2369230Z [       OK ] VmapTest.TestBatchedTensorActualDim (2 ms)
2022-11-23T01:56:03.2369931Z [ RUN      ] VmapTest.TestMultiBatchVmapTransform
2022-11-23T01:56:03.2380696Z [       OK ] VmapTest.TestMultiBatchVmapTransform (1 ms)
2022-11-23T01:56:03.2381423Z [ RUN      ] VmapTest.TestVmapPhysicalViewGetPhysicalDim
2022-11-23T01:56:03.2390984Z [       OK ] VmapTest.TestVmapPhysicalViewGetPhysicalDim (1 ms)
2022-11-23T01:56:03.2391770Z [ RUN      ] VmapTest.TestVmapPhysicalViewGetPhysicalDims
2022-11-23T01:56:03.2401391Z [       OK ] VmapTest.TestVmapPhysicalViewGetPhysicalDims (1 ms)
2022-11-23T01:56:03.2402048Z [ RUN      ] VmapTest.TestVmapPhysicalViewNewLogicalFromPhysical
2022-11-23T01:56:03.2402525Z [       OK ] VmapTest.TestVmapPhysicalViewNewLogicalFromPhysical (0 ms)
2022-11-23T01:56:03.2402917Z [ RUN      ] VmapTest.TestBatchedTensorSum
2022-11-23T01:56:03.2405303Z [       OK ] VmapTest.TestBatchedTensorSum (0 ms)
2022-11-23T01:56:03.2406044Z [ RUN      ] VmapTest.TestBroadcastingVmapTransformBatchedBatched
2022-11-23T01:56:03.2411929Z [       OK ] VmapTest.TestBroadcastingVmapTransformBatchedBatched (0 ms)
2022-11-23T01:56:03.2412578Z [ RUN      ] VmapTest.TestBroadcastingVmapTransformBatchedUnbatched
2022-11-23T01:56:03.2417289Z [       OK ] VmapTest.TestBroadcastingVmapTransformBatchedUnbatched (0 ms)
2022-11-23T01:56:03.2417927Z [ RUN      ] VmapTest.TestBroadcastingVmapTransformMaxLevels
2022-11-23T01:56:03.2421058Z [       OK ] VmapTest.TestBroadcastingVmapTransformMaxLevels (0 ms)
2022-11-23T01:56:03.2421582Z [ RUN      ] VmapTest.TestBatchedTensorMul
2022-11-23T01:56:03.2423060Z [       OK ] VmapTest.TestBatchedTensorMul (0 ms)
2022-11-23T01:56:03.2423391Z [ RUN      ] VmapTest.TestBatchedTensorSize
2022-11-23T01:56:03.2428094Z [       OK ] VmapTest.TestBatchedTensorSize (0 ms)
2022-11-23T01:56:03.2428480Z [ RUN      ] VmapTest.TestVmapPhysicalViewGetPhysicalShape
2022-11-23T01:56:03.2428907Z [       OK ] VmapTest.TestVmapPhysicalViewGetPhysicalShape (0 ms)
2022-11-23T01:56:03.2429279Z [ RUN      ] VmapTest.TestBatchedTensorExpand
2022-11-23T01:56:03.2560920Z [       OK ] VmapTest.TestBatchedTensorExpand (13 ms)
2022-11-23T01:56:03.2561406Z [ RUN      ] VmapTest.TestBatchedTensorUnsqueeze
2022-11-23T01:56:03.2561926Z [       OK ] VmapTest.TestBatchedTensorUnsqueeze (0 ms)
2022-11-23T01:56:03.2562286Z [ RUN      ] VmapTest.TestBatchedTensorSqueeze
2022-11-23T01:56:03.2564052Z [       OK ] VmapTest.TestBatchedTensorSqueeze (0 ms)
2022-11-23T01:56:03.2564584Z [ RUN      ] VmapTest.TestBatchedTensorTranspose
2022-11-23T01:56:03.2566290Z [       OK ] VmapTest.TestBatchedTensorTranspose (0 ms)
2022-11-23T01:56:03.2566880Z [ RUN      ] VmapTest.TestBatchedTensorPermute
2022-11-23T01:56:03.2568433Z [       OK ] VmapTest.TestBatchedTensorPermute (0 ms)
2022-11-23T01:56:03.2569332Z [ RUN      ] VmapTest.TestMultiBatchVmapTransformBatchedBatched
2022-11-23T01:56:03.2589811Z [       OK ] VmapTest.TestMultiBatchVmapTransformBatchedBatched (2 ms)
2022-11-23T01:56:03.2590289Z [ RUN      ] VmapTest.TestMultiBatchVmapTransformBatchedUnbatched
2022-11-23T01:56:03.2595284Z [       OK ] VmapTest.TestMultiBatchVmapTransformBatchedUnbatched (0 ms)
2022-11-23T01:56:03.2595727Z [ RUN      ] VmapTest.TestMultiBatchVmapTransformMaxLevels
2022-11-23T01:56:03.2599227Z [       OK ] VmapTest.TestMultiBatchVmapTransformMaxLevels (0 ms)
2022-11-23T01:56:03.2599654Z [ RUN      ] VmapTest.TestMultiBatchVmapTransformMultipleTensors
2022-11-23T01:56:03.2603427Z [       OK ] VmapTest.TestMultiBatchVmapTransformMultipleTensors (0 ms)
2022-11-23T01:56:03.2603888Z [----------] 23 tests from VmapTest (30 ms total)
2022-11-23T01:56:03.2604041Z 
2022-11-23T01:56:03.2604208Z [----------] Global test environment tear-down
2022-11-23T01:56:03.2604513Z [==========] 23 tests from 1 test suite ran. (30 ms total)
2022-11-23T01:56:03.2604770Z [  PASSED  ] 23 tests.
2022-11-23T01:56:03.3309605Z + ./operators_test
2022-11-23T01:56:03.6453699Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:03.6454205Z [==========] Running 4 tests from 1 test suite.
2022-11-23T01:56:03.6454581Z [----------] Global test environment set-up.
2022-11-23T01:56:03.6454884Z [----------] 4 tests from OperatorsTest
2022-11-23T01:56:03.6455234Z [ RUN      ] OperatorsTest.TestFunctionDecltype
2022-11-23T01:56:03.6460703Z [       OK ] OperatorsTest.TestFunctionDecltype (0 ms)
2022-11-23T01:56:03.6461295Z [ RUN      ] OperatorsTest.TestMethodOnlyDecltype
2022-11-23T01:56:03.6461656Z [       OK ] OperatorsTest.TestMethodOnlyDecltype (0 ms)
2022-11-23T01:56:03.6461985Z [ RUN      ] OperatorsTest.Test_ATEN_FN
2022-11-23T01:56:03.6489526Z [       OK ] OperatorsTest.Test_ATEN_FN (2 ms)
2022-11-23T01:56:03.6490095Z [ RUN      ] OperatorsTest.TestOutVariantIsFaithful
2022-11-23T01:56:03.6490472Z [       OK ] OperatorsTest.TestOutVariantIsFaithful (0 ms)
2022-11-23T01:56:03.6490907Z [----------] 4 tests from OperatorsTest (3 ms total)
2022-11-23T01:56:03.6491064Z 
2022-11-23T01:56:03.6491236Z [----------] Global test environment tear-down
2022-11-23T01:56:03.6491544Z [==========] 4 tests from 1 test suite ran. (3 ms total)
2022-11-23T01:56:03.6491850Z [  PASSED  ] 4 tests.
2022-11-23T01:56:03.7190608Z + [[ -x ./cudnn_test ]]
2022-11-23T01:56:03.7190887Z + [[ -x ./cuda_generator_test ]]
2022-11-23T01:56:03.7191087Z + ./cuda_generator_test
2022-11-23T01:56:04.0366362Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:04.0367166Z [==========] Running 11 tests from 1 test suite.
2022-11-23T01:56:04.0367735Z [----------] Global test environment set-up.
2022-11-23T01:56:04.0368281Z [----------] 11 tests from CUDAGeneratorImpl
2022-11-23T01:56:04.0368660Z [ RUN      ] CUDAGeneratorImpl.TestPhiloxEngineReproducibility
2022-11-23T01:56:04.0369110Z [       OK ] CUDAGeneratorImpl.TestPhiloxEngineReproducibility (0 ms)
2022-11-23T01:56:04.0369513Z [ RUN      ] CUDAGeneratorImpl.TestPhiloxEngineOffset1
2022-11-23T01:56:04.0369907Z [       OK ] CUDAGeneratorImpl.TestPhiloxEngineOffset1 (0 ms)
2022-11-23T01:56:04.0370290Z [ RUN      ] CUDAGeneratorImpl.TestPhiloxEngineOffset2
2022-11-23T01:56:04.0370685Z [       OK ] CUDAGeneratorImpl.TestPhiloxEngineOffset2 (0 ms)
2022-11-23T01:56:04.0371051Z [ RUN      ] CUDAGeneratorImpl.TestPhiloxEngineOffset3
2022-11-23T01:56:04.0371441Z [       OK ] CUDAGeneratorImpl.TestPhiloxEngineOffset3 (0 ms)
2022-11-23T01:56:04.0371814Z [ RUN      ] CUDAGeneratorImpl.TestPhiloxEngineIndex
2022-11-23T01:56:04.0372404Z [       OK ] CUDAGeneratorImpl.TestPhiloxEngineIndex (0 ms)
2022-11-23T01:56:04.0372790Z [ RUN      ] CUDAGeneratorImpl.TestGeneratorDynamicCast
2022-11-23T01:56:04.0373185Z [       OK ] CUDAGeneratorImpl.TestGeneratorDynamicCast (0 ms)
2022-11-23T01:56:04.0373553Z [ RUN      ] CUDAGeneratorImpl.TestDefaultGenerator
2022-11-23T01:56:04.0373923Z [       OK ] CUDAGeneratorImpl.TestDefaultGenerator (0 ms)
2022-11-23T01:56:04.0374261Z [ RUN      ] CUDAGeneratorImpl.TestCloning
2022-11-23T01:56:04.0374582Z [       OK ] CUDAGeneratorImpl.TestCloning (0 ms)
2022-11-23T01:56:04.0375022Z [ RUN      ] CUDAGeneratorImpl.TestMultithreadingGetSetCurrentSeed
2022-11-23T01:56:04.0375489Z [       OK ] CUDAGeneratorImpl.TestMultithreadingGetSetCurrentSeed (0 ms)
2022-11-23T01:56:04.0375883Z [ RUN      ] CUDAGeneratorImpl.TestRNGForking
2022-11-23T01:56:04.0376209Z [       OK ] CUDAGeneratorImpl.TestRNGForking (0 ms)
2022-11-23T01:56:04.0376704Z [ RUN      ] CUDAGeneratorImpl.TestMultithreadRNG
2022-11-23T01:56:04.0377063Z [       OK ] CUDAGeneratorImpl.TestMultithreadRNG (0 ms)
2022-11-23T01:56:04.0377419Z [----------] 11 tests from CUDAGeneratorImpl (0 ms total)
2022-11-23T01:56:04.0377572Z 
2022-11-23T01:56:04.0377738Z [----------] Global test environment tear-down
2022-11-23T01:56:04.0378043Z [==========] 11 tests from 1 test suite ran. (0 ms total)
2022-11-23T01:56:04.0378299Z [  PASSED  ] 11 tests.
2022-11-23T01:56:04.1070480Z + [[ -x ./apply_test ]]
2022-11-23T01:56:04.1071000Z + [[ -x ./stream_test ]]
2022-11-23T01:56:04.1071234Z + [[ -x ./cuda_half_test ]]
2022-11-23T01:56:04.1071413Z + ./cuda_half_test
2022-11-23T01:56:04.4228998Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:04.4229687Z [==========] Running 1 test from 1 test suite.
2022-11-23T01:56:04.4230162Z [----------] Global test environment set-up.
2022-11-23T01:56:04.4230606Z [----------] 1 test from HalfCuda
2022-11-23T01:56:04.4230985Z [ RUN      ] HalfCuda.HalfCuda
2022-11-23T01:56:04.4231415Z [       OK ] HalfCuda.HalfCuda (0 ms)
2022-11-23T01:56:04.4231893Z [----------] 1 test from HalfCuda (0 ms total)
2022-11-23T01:56:04.4232123Z 
2022-11-23T01:56:04.4232395Z [----------] Global test environment tear-down
2022-11-23T01:56:04.4232871Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-11-23T01:56:04.4233268Z [  PASSED  ] 1 test.
2022-11-23T01:56:04.4926415Z + [[ -x ./cuda_vectorized_test ]]
2022-11-23T01:56:04.4926717Z + ./cuda_vectorized_test
2022-11-23T01:56:04.8081361Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:04.8082194Z [==========] Running 2 tests from 1 test suite.
2022-11-23T01:56:04.8082517Z [----------] Global test environment set-up.
2022-11-23T01:56:04.8082853Z [----------] 2 tests from TestVectorizedMemoryAccess
2022-11-23T01:56:04.8083220Z [ RUN      ] TestVectorizedMemoryAccess.CanVectorizeUpTo
2022-11-23T01:56:04.8083626Z [       OK ] TestVectorizedMemoryAccess.CanVectorizeUpTo (0 ms)
2022-11-23T01:56:04.8083997Z [ RUN      ] TestVectorizedMemoryAccess.CopyKernel
2022-11-23T01:56:04.8084361Z [       OK ] TestVectorizedMemoryAccess.CopyKernel (0 ms)
2022-11-23T01:56:04.8084748Z [----------] 2 tests from TestVectorizedMemoryAccess (0 ms total)
2022-11-23T01:56:04.8084928Z 
2022-11-23T01:56:04.8085100Z [----------] Global test environment tear-down
2022-11-23T01:56:04.8085395Z [==========] 2 tests from 1 test suite ran. (0 ms total)
2022-11-23T01:56:04.8085650Z [  PASSED  ] 2 tests.
2022-11-23T01:56:04.8787977Z + [[ -x ./cuda_distributions_test ]]
2022-11-23T01:56:04.8788212Z + ./cuda_distributions_test
2022-11-23T01:56:05.2057467Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:05.2058264Z [==========] Running 4 tests from 2 test suites.
2022-11-23T01:56:05.2058781Z [----------] Global test environment set-up.
2022-11-23T01:56:05.2059368Z [----------] 3 tests from DistributionsTest
2022-11-23T01:56:05.2059758Z [ RUN      ] DistributionsTest.TestPhiloxIncrementSmallUniformTensor
2022-11-23T01:56:05.2060239Z [       OK ] DistributionsTest.TestPhiloxIncrementSmallUniformTensor (0 ms)
2022-11-23T01:56:05.2060711Z [ RUN      ] DistributionsTest.TestPhiloxIncrementBigUniformTensor
2022-11-23T01:56:05.2061257Z [       OK ] DistributionsTest.TestPhiloxIncrementBigUniformTensor (0 ms)
2022-11-23T01:56:05.2061727Z [ RUN      ] DistributionsTest.TestPhiloxIncrementSmallMultinomialTensor
2022-11-23T01:56:05.2062237Z [       OK ] DistributionsTest.TestPhiloxIncrementSmallMultinomialTensor (0 ms)
2022-11-23T01:56:05.2062663Z [----------] 3 tests from DistributionsTest (0 ms total)
2022-11-23T01:56:05.2062826Z 
2022-11-23T01:56:05.2062983Z [----------] 1 test from RandomPermutationTest
2022-11-23T01:56:05.2063327Z [ RUN      ] RandomPermutationTest.TestIslandShuffle
2022-11-23T01:56:05.2063711Z [       OK ] RandomPermutationTest.TestIslandShuffle (0 ms)
2022-11-23T01:56:05.2064085Z [----------] 1 test from RandomPermutationTest (0 ms total)
2022-11-23T01:56:05.2064238Z 
2022-11-23T01:56:05.2064403Z [----------] Global test environment tear-down
2022-11-23T01:56:05.2064715Z [==========] 4 tests from 2 test suites ran. (0 ms total)
2022-11-23T01:56:05.2064971Z [  PASSED  ] 4 tests.
2022-11-23T01:56:05.2767217Z + [[ -x ./cuda_optional_test ]]
2022-11-23T01:56:05.2767488Z + ./cuda_optional_test
2022-11-23T01:56:05.5933086Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:05.5933796Z [==========] Running 1 test from 1 test suite.
2022-11-23T01:56:05.5934252Z [----------] Global test environment set-up.
2022-11-23T01:56:05.5934705Z [----------] 1 test from OptionalTest
2022-11-23T01:56:05.5935195Z [ RUN      ] OptionalTest.OptionalTestCUDA
2022-11-23T01:56:05.5935731Z [       OK ] OptionalTest.OptionalTestCUDA (0 ms)
2022-11-23T01:56:05.5936258Z [----------] 1 test from OptionalTest (0 ms total)
2022-11-23T01:56:05.5936703Z 
2022-11-23T01:56:05.5936978Z [----------] Global test environment tear-down
2022-11-23T01:56:05.5937475Z [==========] 1 test from 1 test suite ran. (0 ms total)
2022-11-23T01:56:05.5937865Z [  PASSED  ] 1 test.
2022-11-23T01:56:05.6623504Z + [[ -x ./cuda_tensor_interop_test ]]
2022-11-23T01:56:05.6623917Z + [[ -x ./cuda_complex_test ]]
2022-11-23T01:56:05.6624110Z + ./cuda_complex_test
2022-11-23T01:56:05.9752981Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:05.9753794Z [==========] Running 11 tests from 7 test suites.
2022-11-23T01:56:05.9754335Z [----------] Global test environment set-up.
2022-11-23T01:56:05.9754714Z [----------] 2 tests from TestMemory
2022-11-23T01:56:05.9755000Z [ RUN      ] TestMemory.ReinterpretCast
2022-11-23T01:56:05.9755316Z [       OK ] TestMemory.ReinterpretCast (0 ms)
2022-11-23T01:56:05.9755628Z [ RUN      ] TestMemory.ThrustReinterpretCast
2022-11-23T01:56:05.9755973Z [       OK ] TestMemory.ThrustReinterpretCast (0 ms)
2022-11-23T01:56:05.9756311Z [----------] 2 tests from TestMemory (0 ms total)
2022-11-23T01:56:05.9756459Z 
2022-11-23T01:56:05.9756617Z [----------] 2 tests from TestConstructors
2022-11-23T01:56:05.9757041Z [ RUN      ] TestConstructors.FromThrust
2022-11-23T01:56:05.9757476Z [       OK ] TestConstructors.FromThrust (0 ms)
2022-11-23T01:56:05.9758000Z [ RUN      ] TestConstructors.UnorderedMap
2022-11-23T01:56:05.9758463Z [       OK ] TestConstructors.UnorderedMap (0 ms)
2022-11-23T01:56:05.9759021Z [----------] 2 tests from TestConstructors (0 ms total)
2022-11-23T01:56:05.9759309Z 
2022-11-23T01:56:05.9759550Z [----------] 1 test from TestAssignment
2022-11-23T01:56:05.9760071Z [ RUN      ] TestAssignment.FromThrust
2022-11-23T01:56:05.9760608Z [       OK ] TestAssignment.FromThrust (0 ms)
2022-11-23T01:56:05.9761195Z [----------] 1 test from TestAssignment (0 ms total)
2022-11-23T01:56:05.9761557Z 
2022-11-23T01:56:05.9761775Z [----------] 1 test from TestArithmeticIntScalar
2022-11-23T01:56:05.9762073Z [ RUN      ] TestArithmeticIntScalar.All
2022-11-23T01:56:05.9762390Z [       OK ] TestArithmeticIntScalar.All (0 ms)
2022-11-23T01:56:05.9762741Z [----------] 1 test from TestArithmeticIntScalar (0 ms total)
2022-11-23T01:56:05.9762918Z 
2022-11-23T01:56:05.9763053Z [----------] 1 test from TestIO
2022-11-23T01:56:05.9763277Z [ RUN      ] TestIO.All
2022-11-23T01:56:05.9763537Z [       OK ] TestIO.All (0 ms)
2022-11-23T01:56:05.9763814Z [----------] 1 test from TestIO (0 ms total)
2022-11-23T01:56:05.9763954Z 
2022-11-23T01:56:05.9764074Z [----------] 1 test from TestStd
2022-11-23T01:56:05.9764343Z [ RUN      ] TestStd.BasicFunctions
2022-11-23T01:56:05.9764633Z [       OK ] TestStd.BasicFunctions (0 ms)
2022-11-23T01:56:05.9764919Z [----------] 1 test from TestStd (0 ms total)
2022-11-23T01:56:05.9765062Z 
2022-11-23T01:56:05.9765207Z [----------] 3 tests from DeviceTests
2022-11-23T01:56:05.9765495Z [ RUN      ] DeviceTests.ThrustConversion
2022-11-23T01:56:05.9765810Z [       OK ] DeviceTests.ThrustConversion (0 ms)
2022-11-23T01:56:05.9766099Z [ RUN      ] DeviceTests.StdFunctions
2022-11-23T01:56:05.9766395Z [       OK ] DeviceTests.StdFunctions (0 ms)
2022-11-23T01:56:05.9766692Z [ RUN      ] DeviceTests.ReinterpretCast
2022-11-23T01:56:05.9766990Z [       OK ] DeviceTests.ReinterpretCast (0 ms)
2022-11-23T01:56:05.9767308Z [----------] 3 tests from DeviceTests (0 ms total)
2022-11-23T01:56:05.9767456Z 
2022-11-23T01:56:05.9767617Z [----------] Global test environment tear-down
2022-11-23T01:56:05.9767911Z [==========] 11 tests from 7 test suites ran. (0 ms total)
2022-11-23T01:56:05.9768169Z [  PASSED  ] 11 tests.
2022-11-23T01:56:06.0478174Z + [[ -x ./cuda_complex_math_test ]]
2022-11-23T01:56:06.0478573Z + ./cuda_complex_math_test
2022-11-23T01:56:06.3637132Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:06.3638090Z [==========] Running 24 tests from 22 test suites.
2022-11-23T01:56:06.3638954Z [----------] Global test environment set-up.
2022-11-23T01:56:06.3639618Z [----------] 2 tests from TestExponentialDevice
2022-11-23T01:56:06.3640166Z [ RUN      ] TestExponentialDevice.IPi
2022-11-23T01:56:06.3640686Z [       OK ] TestExponentialDevice.IPi (0 ms)
2022-11-23T01:56:06.3641143Z [ RUN      ] TestExponentialDevice.EulerFormula
2022-11-23T01:56:06.3641760Z [       OK ] TestExponentialDevice.EulerFormula (0 ms)
2022-11-23T01:56:06.3642311Z [----------] 2 tests from TestExponentialDevice (0 ms total)
2022-11-23T01:56:06.3642522Z 
2022-11-23T01:56:06.3642773Z [----------] 1 test from TestLogDevice
2022-11-23T01:56:06.3643226Z [ RUN      ] TestLogDevice.Definition
2022-11-23T01:56:06.3643716Z [       OK ] TestLogDevice.Definition (0 ms)
2022-11-23T01:56:06.3644325Z [----------] 1 test from TestLogDevice (0 ms total)
2022-11-23T01:56:06.3644566Z 
2022-11-23T01:56:06.3644832Z [----------] 1 test from TestLog10Device
2022-11-23T01:56:06.3645486Z [ RUN      ] TestLog10Device.Rev
2022-11-23T01:56:06.3645989Z [       OK ] TestLog10Device.Rev (0 ms)
2022-11-23T01:56:06.3646546Z [----------] 1 test from TestLog10Device (0 ms total)
2022-11-23T01:56:06.3646828Z 
2022-11-23T01:56:06.3647105Z [----------] 1 test from TestLog2Device
2022-11-23T01:56:06.3647595Z [ RUN      ] TestLog2Device.Rev
2022-11-23T01:56:06.3648079Z [       OK ] TestLog2Device.Rev (0 ms)
2022-11-23T01:56:06.3648707Z [----------] 1 test from TestLog2Device (0 ms total)
2022-11-23T01:56:06.3648990Z 
2022-11-23T01:56:06.3649289Z [----------] 1 test from TestPowSqrtDevice
2022-11-23T01:56:06.3649905Z [ RUN      ] TestPowSqrtDevice.Equal
2022-11-23T01:56:06.3650451Z [       OK ] TestPowSqrtDevice.Equal (0 ms)
2022-11-23T01:56:06.3651042Z [----------] 1 test from TestPowSqrtDevice (0 ms total)
2022-11-23T01:56:06.3651339Z 
2022-11-23T01:56:06.3651617Z [----------] 1 test from TestPowDevice
2022-11-23T01:56:06.3652119Z [ RUN      ] TestPowDevice.Square
2022-11-23T01:56:06.3652625Z [       OK ] TestPowDevice.Square (0 ms)
2022-11-23T01:56:06.3653202Z [----------] 1 test from TestPowDevice (0 ms total)
2022-11-23T01:56:06.3653479Z 
2022-11-23T01:56:06.3653804Z [----------] 1 test from TestSinCosSinhCoshDevice
2022-11-23T01:56:06.3654398Z [ RUN      ] TestSinCosSinhCoshDevice.Identity
2022-11-23T01:56:06.3655043Z [       OK ] TestSinCosSinhCoshDevice.Identity (0 ms)
2022-11-23T01:56:06.3655726Z [----------] 1 test from TestSinCosSinhCoshDevice (0 ms total)
2022-11-23T01:56:06.3656054Z 
2022-11-23T01:56:06.3656331Z [----------] 1 test from TestTanDevice
2022-11-23T01:56:06.3657075Z [ RUN      ] TestTanDevice.Identity
2022-11-23T01:56:06.3657616Z [       OK ] TestTanDevice.Identity (0 ms)
2022-11-23T01:56:06.3658197Z [----------] 1 test from TestTanDevice (0 ms total)
2022-11-23T01:56:06.3658485Z 
2022-11-23T01:56:06.3658746Z [----------] 1 test from TestTanhDevice
2022-11-23T01:56:06.3659260Z [ RUN      ] TestTanhDevice.Identity
2022-11-23T01:56:06.3659807Z [       OK ] TestTanhDevice.Identity (0 ms)
2022-11-23T01:56:06.3660395Z [----------] 1 test from TestTanhDevice (0 ms total)
2022-11-23T01:56:06.3660657Z 
2022-11-23T01:56:06.3660995Z [----------] 1 test from TestRevTrigonometricDevice
2022-11-23T01:56:06.3661584Z [ RUN      ] TestRevTrigonometricDevice.Rev
2022-11-23T01:56:06.3662195Z [       OK ] TestRevTrigonometricDevice.Rev (0 ms)
2022-11-23T01:56:06.3662852Z [----------] 1 test from TestRevTrigonometricDevice (0 ms total)
2022-11-23T01:56:06.3663176Z 
2022-11-23T01:56:06.3663496Z [----------] 1 test from TestRevHyperbolicDevice
2022-11-23T01:56:06.3664079Z [ RUN      ] TestRevHyperbolicDevice.Rev
2022-11-23T01:56:06.3664663Z [       OK ] TestRevHyperbolicDevice.Rev (0 ms)
2022-11-23T01:56:06.3665298Z [----------] 1 test from TestRevHyperbolicDevice (0 ms total)
2022-11-23T01:56:06.3665614Z 
2022-11-23T01:56:06.3665916Z [----------] 2 tests from TestExponentialHost
2022-11-23T01:56:06.3666453Z [ RUN      ] TestExponentialHost.IPi
2022-11-23T01:56:06.3666994Z [       OK ] TestExponentialHost.IPi (0 ms)
2022-11-23T01:56:06.3667579Z [ RUN      ] TestExponentialHost.EulerFormula
2022-11-23T01:56:06.3668214Z [       OK ] TestExponentialHost.EulerFormula (0 ms)
2022-11-23T01:56:06.3668852Z [----------] 2 tests from TestExponentialHost (0 ms total)
2022-11-23T01:56:06.3669162Z 
2022-11-23T01:56:06.3669426Z [----------] 1 test from TestLogHost
2022-11-23T01:56:06.3669922Z [ RUN      ] TestLogHost.Definition
2022-11-23T01:56:06.3670461Z [       OK ] TestLogHost.Definition (0 ms)
2022-11-23T01:56:06.3671012Z [----------] 1 test from TestLogHost (0 ms total)
2022-11-23T01:56:06.3671369Z 
2022-11-23T01:56:06.3671646Z [----------] 1 test from TestLog10Host
2022-11-23T01:56:06.3672136Z [ RUN      ] TestLog10Host.Rev
2022-11-23T01:56:06.3672611Z [       OK ] TestLog10Host.Rev (0 ms)
2022-11-23T01:56:06.3673167Z [----------] 1 test from TestLog10Host (0 ms total)
2022-11-23T01:56:06.3673440Z 
2022-11-23T01:56:06.3673707Z [----------] 1 test from TestLog2Host
2022-11-23T01:56:06.3674162Z [ RUN      ] TestLog2Host.Rev
2022-11-23T01:56:06.3674710Z [       OK ] TestLog2Host.Rev (0 ms)
2022-11-23T01:56:06.3675270Z [----------] 1 test from TestLog2Host (0 ms total)
2022-11-23T01:56:06.3675623Z 
2022-11-23T01:56:06.3675910Z [----------] 1 test from TestPowSqrtHost
2022-11-23T01:56:06.3676409Z [ RUN      ] TestPowSqrtHost.Equal
2022-11-23T01:56:06.3676941Z [       OK ] TestPowSqrtHost.Equal (0 ms)
2022-11-23T01:56:06.3677536Z [----------] 1 test from TestPowSqrtHost (0 ms total)
2022-11-23T01:56:06.3677822Z 
2022-11-23T01:56:06.3678071Z [----------] 1 test from TestPowHost
2022-11-23T01:56:06.3678561Z [ RUN      ] TestPowHost.Square
2022-11-23T01:56:06.3679072Z [       OK ] TestPowHost.Square (0 ms)
2022-11-23T01:56:06.3679610Z [----------] 1 test from TestPowHost (0 ms total)
2022-11-23T01:56:06.3679880Z 
2022-11-23T01:56:06.3680192Z [----------] 1 test from TestSinCosSinhCoshHost
2022-11-23T01:56:06.3680780Z [ RUN      ] TestSinCosSinhCoshHost.Identity
2022-11-23T01:56:06.3681399Z [       OK ] TestSinCosSinhCoshHost.Identity (0 ms)
2022-11-23T01:56:06.3682061Z [----------] 1 test from TestSinCosSinhCoshHost (0 ms total)
2022-11-23T01:56:06.3682373Z 
2022-11-23T01:56:06.3682636Z [----------] 1 test from TestTanHost
2022-11-23T01:56:06.3683132Z [ RUN      ] TestTanHost.Identity
2022-11-23T01:56:06.3683635Z [       OK ] TestTanHost.Identity (0 ms)
2022-11-23T01:56:06.3684195Z [----------] 1 test from TestTanHost (0 ms total)
2022-11-23T01:56:06.3684467Z 
2022-11-23T01:56:06.3684735Z [----------] 1 test from TestTanhHost
2022-11-23T01:56:06.3685231Z [ RUN      ] TestTanhHost.Identity
2022-11-23T01:56:06.3685742Z [       OK ] TestTanhHost.Identity (0 ms)
2022-11-23T01:56:06.3686308Z [----------] 1 test from TestTanhHost (0 ms total)
2022-11-23T01:56:06.3686582Z 
2022-11-23T01:56:06.3686908Z [----------] 1 test from TestRevTrigonometricHost
2022-11-23T01:56:06.3687462Z [ RUN      ] TestRevTrigonometricHost.Rev
2022-11-23T01:56:06.3688066Z [       OK ] TestRevTrigonometricHost.Rev (0 ms)
2022-11-23T01:56:06.3688722Z [----------] 1 test from TestRevTrigonometricHost (0 ms total)
2022-11-23T01:56:06.3689046Z 
2022-11-23T01:56:06.3689359Z [----------] 1 test from TestRevHyperbolicHost
2022-11-23T01:56:06.3689902Z [ RUN      ] TestRevHyperbolicHost.Rev
2022-11-23T01:56:06.3690468Z [       OK ] TestRevHyperbolicHost.Rev (0 ms)
2022-11-23T01:56:06.3691398Z [----------] 1 test from TestRevHyperbolicHost (0 ms total)
2022-11-23T01:56:06.3691693Z 
2022-11-23T01:56:06.3692008Z [----------] Global test environment tear-down
2022-11-23T01:56:06.3692599Z [==========] 24 tests from 22 test suites ran. (0 ms total)
2022-11-23T01:56:06.3693083Z [  PASSED  ] 24 tests.
2022-11-23T01:56:06.4392751Z + [[ -x ./cuda_cub_test ]]
2022-11-23T01:56:06.4392985Z + ./cuda_cub_test
2022-11-23T01:56:06.7552798Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:06.7553477Z [==========] Running 3 tests from 3 test suites.
2022-11-23T01:56:06.7553802Z [----------] Global test environment set-up.
2022-11-23T01:56:06.7554140Z [----------] 1 test from NumBits
2022-11-23T01:56:06.7554379Z [ RUN      ] NumBits.CubTest
2022-11-23T01:56:06.7554931Z [       OK ] NumBits.CubTest (0 ms)
2022-11-23T01:56:06.7555228Z [----------] 1 test from NumBits (0 ms total)
2022-11-23T01:56:06.7555384Z 
2022-11-23T01:56:06.7555585Z [----------] 1 test from InclusiveScanSplit
2022-11-23T01:56:06.7555893Z [ RUN      ] InclusiveScanSplit.CubTest
2022-11-23T01:56:06.7556242Z [       OK ] InclusiveScanSplit.CubTest (0 ms)
2022-11-23T01:56:06.7556591Z [----------] 1 test from InclusiveScanSplit (0 ms total)
2022-11-23T01:56:06.7556756Z 
2022-11-23T01:56:06.7556916Z [----------] 1 test from ExclusiveScanSplit
2022-11-23T01:56:06.7557337Z [ RUN      ] ExclusiveScanSplit.CubTest
2022-11-23T01:56:06.7557649Z [       OK ] ExclusiveScanSplit.CubTest (0 ms)
2022-11-23T01:56:06.7558038Z [----------] 1 test from ExclusiveScanSplit (0 ms total)
2022-11-23T01:56:06.7558202Z 
2022-11-23T01:56:06.7558372Z [----------] Global test environment tear-down
2022-11-23T01:56:06.7558752Z [==========] 3 tests from 3 test suites ran. (0 ms total)
2022-11-23T01:56:06.7559001Z [  PASSED  ] 3 tests.
2022-11-23T01:56:06.8251174Z + [[ -x ./cuda_atomic_ops_test ]]
2022-11-23T01:56:06.8251392Z + ./cuda_atomic_ops_test
2022-11-23T01:56:07.1420052Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:07.1420891Z [==========] Running 4 tests from 1 test suite.
2022-11-23T01:56:07.1421298Z [----------] Global test environment set-up.
2022-11-23T01:56:07.1421621Z [----------] 4 tests from TestAtomicOps
2022-11-23T01:56:07.1421923Z [ RUN      ] TestAtomicOps.TestAtomicAdd
2022-11-23T01:56:07.1422246Z [       OK ] TestAtomicOps.TestAtomicAdd (0 ms)
2022-11-23T01:56:07.1422559Z [ RUN      ] TestAtomicOps.TestAtomicMul
2022-11-23T01:56:07.1422876Z [       OK ] TestAtomicOps.TestAtomicMul (0 ms)
2022-11-23T01:56:07.1423175Z [ RUN      ] TestAtomicOps.TestAtomicMax
2022-11-23T01:56:07.1423492Z [       OK ] TestAtomicOps.TestAtomicMax (0 ms)
2022-11-23T01:56:07.1423794Z [ RUN      ] TestAtomicOps.TestAtomicMin
2022-11-23T01:56:07.1424094Z [       OK ] TestAtomicOps.TestAtomicMin (0 ms)
2022-11-23T01:56:07.1424416Z [----------] 4 tests from TestAtomicOps (0 ms total)
2022-11-23T01:56:07.1424569Z 
2022-11-23T01:56:07.1424732Z [----------] Global test environment tear-down
2022-11-23T01:56:07.1425031Z [==========] 4 tests from 1 test suite ran. (0 ms total)
2022-11-23T01:56:07.1425283Z [  PASSED  ] 4 tests.
2022-11-23T01:56:07.2140549Z + '[' ON == ON ']'
2022-11-23T01:56:07.2141082Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 ./basic '--gtest_filter=-*CUDA'
2022-11-23T01:56:07.2488756Z ==18834== Memcheck, a memory error detector
2022-11-23T01:56:07.2489236Z ==18834== Copyright (C) 2002-2017, and GNU GPL'd, by Julian Seward et al.
2022-11-23T01:56:07.2489613Z ==18834== Using Valgrind-3.16.1 and LibVEX; rerun with -h for copyright info
2022-11-23T01:56:07.2489942Z ==18834== Command: ./basic --gtest_filter=-*CUDA
2022-11-23T01:56:07.2490144Z ==18834== 
2022-11-23T01:56:10.4552542Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4553217Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4553841Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4554163Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4554778Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4555288Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4555605Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4555951Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4556715Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4557101Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4557445Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4557773Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4558068Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4558411Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4558737Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4559034Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4559434Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4559762Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4562476Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4563052Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4563390Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4570953Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4571549Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4572132Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4572651Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4573263Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4573810Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4574201Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4574540Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4574996Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4575481Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4576055Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4576795Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4577326Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4577951Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4578540Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4578934Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4579403Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4579906Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4580366Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4580908Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4581395Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4581829Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4582357Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4582902Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4583480Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4583914Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4584368Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4584912Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4585393Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4585786Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4586230Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4586779Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4587403Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4587739Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4588181Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4588700Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4589143Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4589603Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4589978Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4590280Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4590744Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4591072Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4591375Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4591709Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4592234Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4592625Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4593035Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4593346Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4593645Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4593981Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4594286Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4594656Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4594998Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4595306Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4595611Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4595953Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4596279Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4596569Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4596908Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4597228Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4597516Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4597850Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4598173Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4598462Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4598797Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4599117Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4599418Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4599740Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4600082Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4600570Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4601113Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4601638Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4602141Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4602677Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4603017Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4603317Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4603660Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4604044Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4604389Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4604727Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4605032Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4605340Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4605677Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4606004Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4606293Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4606669Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4606992Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4607280Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4607621Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4607944Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4608231Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4608567Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4609045Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4609536Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4609892Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4610229Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4610641Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4610969Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4611293Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4611595Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4611921Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4612419Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4612732Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4613069Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4613380Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4613715Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4614049Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4614358Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4614661Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4614997Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4615448Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4615806Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4616148Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4616626Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4616932Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4617272Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4617596Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4617887Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4618226Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4618680Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4619065Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4619425Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4619860Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4620186Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4620507Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4620831Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4621133Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4621457Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4621780Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4622083Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4622485Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4622808Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4623113Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4623456Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4623763Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4624065Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4624401Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4624710Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4625153Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4625601Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4625912Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4626262Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4626620Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4626945Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4627234Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4627570Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4627888Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4628173Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4628680Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4629058Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4629346Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4629740Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4630070Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4630368Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4630689Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4631010Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4631313Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4631634Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4631952Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4632249Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4632574Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4632923Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4633387Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4633787Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4634097Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4634461Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4634871Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4635247Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4635552Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4635892Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4636201Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4636690Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4637121Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4637446Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4637798Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4638185Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4638506Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4638792Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4639130Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4639449Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4639736Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4640118Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4640439Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4640744Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4641081Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4641391Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4641697Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4642037Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4642346Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4642647Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4642982Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4643290Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4643589Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4643926Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4644415Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4644907Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4645432Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4645823Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4646112Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4646516Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4646843Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4647131Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4647464Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4647782Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4648082Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4648405Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4648725Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4649025Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4649348Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4649668Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4649966Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4650287Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4650664Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4650970Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4651308Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4651615Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4652057Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4652631Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4653091Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4653451Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4653785Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4654096Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4654399Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4654739Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4655064Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4655351Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4655686Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4656009Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4656296Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4658316Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4658648Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4658937Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4659278Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4659604Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4659912Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4660238Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4660766Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4661268Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4661823Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4662334Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4662904Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4663528Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4663921Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4664222Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4664560Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4664871Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4665176Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4665510Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4665817Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4666118Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4666455Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4666767Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4667065Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4667406Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4667727Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4668015Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4668444Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4668770Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4669055Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4669391Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4669718Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4670005Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4670344Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4670664Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4671011Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4671331Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4671649Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4671993Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4672554Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4673098Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4673600Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4674205Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4674749Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4675089Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4675430Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4675744Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4676045Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4676385Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4676707Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4676996Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4677338Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4677663Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4677950Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4678282Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4678598Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4678883Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4679216Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4679538Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4679838Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4680160Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4680629Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4681146Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4681635Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4682082Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4682638Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4683152Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4683476Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4683776Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4684113Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4684477Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4684903Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4685302Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4685701Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4686271Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4686664Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4686970Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4687271Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4687677Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4688110Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4699605Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4700306Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4700670Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4700987Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4701364Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4701880Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4702280Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4702668Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4703089Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4703412Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4703734Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4704065Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4704370Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4704711Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4705019Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4705346Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4705682Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4706004Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4706294Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4706636Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4706961Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4707249Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4707727Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4708226Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4708556Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4708958Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4709308Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4709614Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4709941Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4710265Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4710569Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4710891Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4711215Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4711517Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4711841Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4712165Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4712580Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4713137Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4713457Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4713823Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4714167Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4714542Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4714853Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4715191Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4715503Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4716040Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4716447Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4716775Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4717145Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4717490Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4717816Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4718107Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4718445Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4718768Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4719070Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4719395Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4719723Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4720026Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4720348Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4720674Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4722528Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4722918Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4723266Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4726743Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4727145Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4727474Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4727784Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4728148Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4728503Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4729206Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4729604Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4729941Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4733668Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4734118Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4734452Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4734746Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4735089Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4735415Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4738498Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4738869Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4739199Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4743119Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4743672Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4744011Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4744319Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4744658Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4744969Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4747054Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4747453Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4747766Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4751325Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4751741Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4752081Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4760458Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4760856Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4761210Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4764795Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4765186Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4765527Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4769511Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4769886Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4770229Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4772246Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4772652Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4772970Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4775799Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4776203Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4776666Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4778861Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4779506Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4779864Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4785128Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4785786Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4786141Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4788073Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4788705Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4789073Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4794384Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4795086Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4795437Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4798394Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4798752Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4799068Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4804873Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4805224Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4805559Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4808143Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4808725Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4809104Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4812453Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4812889Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4813220Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4817328Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4817746Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4818080Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4820493Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4820962Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4821281Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4824199Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4824768Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4825109Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4830423Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4831052Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4831389Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4833987Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4834669Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4835021Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4841378Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4842007Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4842351Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4846107Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4846460Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4846808Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4849530Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4849928Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4850247Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4853961Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4854399Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4854719Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4861495Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4861941Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4862278Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4866675Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4867315Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4867742Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4870023Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4870357Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4870690Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4873112Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4873444Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4873775Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4879494Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4880006Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4880325Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4882585Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4882937Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4883269Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4885529Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4885875Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4886295Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4888911Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4889260Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4889592Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4892285Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4892651Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4892985Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4896163Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4896655Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4896996Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4902898Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4903245Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4903566Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4907705Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4908063Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4908397Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4912642Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4913040Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4913375Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4916254Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4916656Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4916987Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4920360Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4920750Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4921080Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4923276Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4923710Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4924027Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4929518Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4929917Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4930233Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4933843Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4934234Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4934569Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4937904Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4938293Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4938635Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4938973Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4939405Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4939736Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4940042Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4940366Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4940691Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.4940997Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.4941323Z --18834-- When reading debug info from /opt/conda/lib/libstdc++.so.6.0.29:
2022-11-23T01:56:10.4941732Z --18834-- parse_CU_Header: is neither DWARF2 nor DWARF3 nor DWARF4
2022-11-23T01:56:10.6032296Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6032939Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6033266Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6033610Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6033945Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6034250Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6034629Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6034964Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6035283Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6035575Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6035903Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6036226Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6036515Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6036843Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6037166Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6037455Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6037781Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6038097Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6038398Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6038709Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6039025Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6042908Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6043501Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6044135Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6044610Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6045205Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6045777Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6046346Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6046951Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6047474Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6047805Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6048287Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6048773Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6049239Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6049845Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6050383Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6050876Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6051708Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6052294Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6052836Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6053339Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6053875Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6054393Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6054980Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6055539Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6056223Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6056985Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6057562Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6058068Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6058387Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6058709Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6059010Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6059339Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6059640Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6059943Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6060270Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6060572Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6060870Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6061194Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6061496Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6061797Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6062125Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6062438Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6062725Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6063048Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6063360Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6063646Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6063969Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6064287Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6064575Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6064900Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6065213Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6065504Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6065826Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6066137Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6066438Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6066750Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6067160Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6067446Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6067772Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6068091Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6068377Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6068702Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6069088Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6069377Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6069703Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6070020Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6070324Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6070632Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6070949Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6071249Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6071601Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6071915Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6072215Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6072529Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6072842Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6073142Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6073455Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6073765Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6074065Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6074389Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6074766Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6075076Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6075423Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6075737Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6076037Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6076360Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6076660Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6076958Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6077283Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6077579Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6077878Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6078200Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6078502Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6078803Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6079127Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6079442Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6079730Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6080055Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6080368Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6080658Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6080982Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6081294Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6081581Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6081906Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6082224Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6082526Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6082835Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6083148Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6083489Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6083802Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6084118Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6084418Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6084731Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6085044Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6085343Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6085648Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6086003Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6086304Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6086628Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6086932Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6087227Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6087551Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6087852Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6088151Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6088476Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6088776Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6089077Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6089399Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6089708Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6089992Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6090312Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6090624Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6090908Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6091228Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6091535Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6091819Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6092137Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6092448Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6092743Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6093051Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6093361Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6093657Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6093966Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6094277Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6094573Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6094880Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6095188Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6095485Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6095803Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6096099Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6096400Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6096834Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6097134Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6097433Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6097811Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6098111Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6098407Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6098728Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6099040Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6099322Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6099640Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6099994Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6100277Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6100597Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6100909Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6101194Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6101513Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6101820Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6102117Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6102425Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6102736Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6103033Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6103345Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6103659Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6103953Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6104261Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6104666Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6104971Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6105281Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6105589Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6105885Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6106208Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6106504Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6106807Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6107132Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6107429Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6107725Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6108044Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6108346Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6108641Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6108962Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6109273Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6109557Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6109879Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6110189Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6110474Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6110796Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6111105Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6111390Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6111710Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6112061Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6112361Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6112666Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6112973Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6113270Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6113577Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6113885Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6114213Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6114581Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6114894Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6115194Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6115518Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6115816Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6116112Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6116434Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6116733Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6117031Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6117355Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6117656Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6117954Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6118278Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6118590Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6118878Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6119201Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6119510Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6119794Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6120112Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6120423Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6120707Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6121028Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6121339Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6121637Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6121942Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6122251Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6122551Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6122863Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6123171Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6123470Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6123775Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6124084Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6124380Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6124688Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6124997Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6125296Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6125620Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6125958Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6126263Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6126588Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6126888Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6127189Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6127515Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6127814Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6128117Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6128477Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6128791Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6129078Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6129401Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6129716Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6130004Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6130330Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6130643Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6130931Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6131255Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6131567Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6131869Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6132183Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6132496Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6132797Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6133112Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6133426Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6133728Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6134039Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6134348Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6134649Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6134971Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6135268Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6135569Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6135889Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6136189Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6136587Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6136914Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6137212Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6137507Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6137825Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6138135Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6138420Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6138741Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6139050Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6139336Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6139656Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6139967Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6140311Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6140634Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6140943Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6141231Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6141549Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6141860Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6142157Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6142466Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6142817Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6143114Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6143421Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6143730Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6144034Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6144341Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6144652Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6144950Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6145268Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6145566Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.6145864Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.6146183Z --18834-- When reading debug info from /opt/conda/lib/libgcc_s.so.1:
2022-11-23T01:56:10.6146513Z --18834-- parse_CU_Header: is neither DWARF2 nor DWARF3 nor DWARF4
2022-11-23T01:56:10.9275408Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9276060Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9276426Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9276757Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9277100Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9277415Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9277720Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9278052Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9278360Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9278662Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9278996Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9279298Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9284060Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9284699Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9285288Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9285837Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9286453Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9286921Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9287216Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9287553Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9287887Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9288196Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9288605Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9289079Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9289382Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9289965Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9290305Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9290664Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9290997Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9291333Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9291798Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9292286Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9292697Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9292993Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9293326Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9293628Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9293929Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9294262Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9294575Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9294866Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9295192Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9295612Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9296086Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9296798Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9297279Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9297756Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9298260Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9298639Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9299150Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9299729Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9300049Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9300349Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9300668Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9300985Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9301307Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9301638Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9301946Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9302244Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9302571Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9302878Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9303174Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9303500Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9303804Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9304103Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9304433Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9304750Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9305038Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9305368Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9305683Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9305969Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9306384Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9306702Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9306984Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9307316Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9307632Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9307928Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9308246Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9308558Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9308905Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9309221Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9309532Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9309829Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9310146Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9310464Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9310759Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9311089Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9311393Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9311690Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9312020Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9312331Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9314677Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9315242Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9315801Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9316291Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9316848Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9317181Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9317615Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9318207Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9318798Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9319328Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9319943Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9320277Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9320577Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9320897Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9321219Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9321519Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9321838Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9322154Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9322470Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9322798Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9323109Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9323405Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9323736Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9324042Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9324339Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9324752Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9325073Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9325364Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9325691Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9326006Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9326291Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9326618Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9326932Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9327281Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9327610Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9327925Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9328221Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9328543Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9328856Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9329151Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9329543Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9329856Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9330152Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9330467Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9330782Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9331079Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9331408Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9331715Z --18834-- Ignoring non-Dwarf2/3/4 block in .debug_info
2022-11-23T01:56:10.9332014Z --18834-- WARNING: Serious error when reading debug info
2022-11-23T01:56:10.9332341Z --18834-- When reading debug info from /opt/conda/lib/libgomp.so.1.0.0:
2022-11-23T01:56:10.9332674Z --18834-- parse_CU_Header: is neither DWARF2 nor DWARF3 nor DWARF4
2022-11-23T01:56:11.9907915Z ==18834== Warning: set address range perms: large range [0x59eb4000, 0x6ed02000) (defined)
2022-11-23T01:56:54.5484957Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc
2022-11-23T01:56:54.5687546Z Note: Google Test filter = -*CUDA
2022-11-23T01:56:54.5740136Z [==========] Running 4 tests from 1 test suite.
2022-11-23T01:56:54.5764790Z [----------] Global test environment set-up.
2022-11-23T01:56:54.5801270Z [----------] 4 tests from BasicTest
2022-11-23T01:56:54.5818642Z [ RUN      ] BasicTest.BasicTestCPU
2022-11-23T01:56:55.7638663Z    406 ms
2022-11-23T01:57:00.5007912Z    4716 ms
2022-11-23T01:57:07.1199409Z    6611 ms
2022-11-23T01:57:07.7679719Z [       OK ] BasicTest.BasicTestCPU (13183 ms)
2022-11-23T01:57:07.7685526Z [ RUN      ] BasicTest.BasicTestHalfCPU
2022-11-23T01:57:07.9583617Z    135 ms
2022-11-23T01:57:13.0748126Z    5108 ms
2022-11-23T01:57:19.9749092Z    6896 ms
2022-11-23T01:57:20.0850787Z [       OK ] BasicTest.BasicTestHalfCPU (12316 ms)
2022-11-23T01:57:20.0851407Z [ RUN      ] BasicTest.FactoryMethodsTest
2022-11-23T01:57:20.1209118Z [       OK ] BasicTest.FactoryMethodsTest (35 ms)
2022-11-23T01:57:20.1209730Z [ RUN      ] BasicTest.BasicStdTestCPU
2022-11-23T01:57:20.1994536Z Simple example: called once
2022-11-23T01:57:20.2846548Z throw: call_once will retry
2022-11-23T01:57:20.2880622Z Didn't throw, call_once will not attempt again
2022-11-23T01:57:20.3287956Z [       OK ] BasicTest.BasicStdTestCPU (207 ms)
2022-11-23T01:57:20.3305607Z [----------] 4 tests from BasicTest (25747 ms total)
2022-11-23T01:57:20.3305809Z 
2022-11-23T01:57:20.3317462Z [----------] Global test environment tear-down
2022-11-23T01:57:20.3345066Z [==========] 4 tests from 1 test suite ran. (25767 ms total)
2022-11-23T01:57:20.3359059Z [  PASSED  ] 4 tests.
2022-11-23T01:57:22.3104549Z ==18834== 
2022-11-23T01:57:22.3105395Z ==18834== HEAP SUMMARY:
2022-11-23T01:57:22.3105789Z ==18834==     in use at exit: 687,491 bytes in 4,091 blocks
2022-11-23T01:57:22.3106211Z ==18834==   total heap usage: 1,925,686 allocs, 1,921,595 frees, 310,923,698 bytes allocated
2022-11-23T01:57:22.3106573Z ==18834== 
2022-11-23T01:57:22.8529448Z ==18834== LEAK SUMMARY:
2022-11-23T01:57:22.8530212Z ==18834==    definitely lost: 0 bytes in 0 blocks
2022-11-23T01:57:22.8530571Z ==18834==    indirectly lost: 0 bytes in 0 blocks
2022-11-23T01:57:22.8530919Z ==18834==      possibly lost: 1,584 bytes in 3 blocks
2022-11-23T01:57:22.8531218Z ==18834==    still reachable: 685,907 bytes in 4,088 blocks
2022-11-23T01:57:22.8531749Z ==18834==         suppressed: 0 bytes in 0 blocks
2022-11-23T01:57:22.8532484Z ==18834== Rerun with --leak-check=full to see details of leaked memory
2022-11-23T01:57:22.8532876Z ==18834== 
2022-11-23T01:57:22.8533352Z ==18834== For lists of detected and suppressed errors, rerun with: -s
2022-11-23T01:57:22.8533653Z ==18834== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 4 from 4)
2022-11-23T01:57:22.9071580Z + [[ -x ./tensor_interop_test ]]
2022-11-23T01:57:22.9071797Z + popd
2022-11-23T01:57:22.9071960Z ~/workspace
2022-11-23T01:57:22.9074061Z + [[ -n '' ]]
2022-11-23T01:57:22.9074501Z + assert_git_not_dirty
2022-11-23T01:57:22.9074911Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:57:22.9075232Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]]
2022-11-23T01:57:22.9077770Z ++ git status --porcelain
2022-11-23T01:57:22.9914384Z + git_status=
2022-11-23T01:57:22.9914770Z + [[ -n '' ]]
2022-11-23T01:57:22.9914940Z + test_vec256
2022-11-23T01:57:22.9915300Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *asan* ]]
2022-11-23T01:57:22.9915626Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:57:22.9915961Z + echo 'Testing vec256 instructions'
2022-11-23T01:57:22.9916173Z Testing vec256 instructions
2022-11-23T01:57:22.9916423Z + mkdir -p test/test-reports/vec256
2022-11-23T01:57:22.9946799Z + pushd build/bin
2022-11-23T01:57:22.9947162Z ~/workspace/build/bin ~/workspace
2022-11-23T01:57:22.9950504Z ++ find . -maxdepth 1 -executable -name 'vec256_test*'
2022-11-23T01:57:22.9997748Z + vec256_tests=
2022-11-23T01:57:22.9998009Z + popd
2022-11-23T01:57:22.9998249Z ~/workspace
2022-11-23T01:57:22.9998510Z + assert_git_not_dirty
2022-11-23T01:57:22.9999025Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:57:22.9999565Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]]
2022-11-23T01:57:23.0002220Z ++ git status --porcelain
2022-11-23T01:57:23.0823323Z + git_status=
2022-11-23T01:57:23.0823900Z + [[ -n '' ]]
2022-11-23T01:57:23.0824116Z + test_libtorch
2022-11-23T01:57:23.0824429Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:57:23.0824697Z + echo 'Testing libtorch'
2022-11-23T01:57:23.0824883Z Testing libtorch
2022-11-23T01:57:23.0825295Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:57:23.0844054Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libjitbackend_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:57:23.0853344Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:57:23.0861895Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libshm.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:57:23.0872201Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:57:23.0904063Z + ln -sf '/opt/conda/lib/python3.10/site-packages/torch/lib/libtbb*' /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:57:23.0912934Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_libtorch
2022-11-23T01:57:23.0913728Z + mkdir -p test/test-reports/cpp-unittest/test_libtorch
2022-11-23T01:57:23.0914339Z + python tools/download_mnist.py --quiet -d test/cpp/api/mnist
2022-11-23T01:57:23.0925212Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *-tsan* ]]
2022-11-23T01:57:23.0925623Z + python test/cpp/jit/tests_setup.py setup
2022-11-23T01:57:23.1364003Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ...
2022-11-23T01:57:23.4355615Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ...
2022-11-23T01:57:23.4536967Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ...
2022-11-23T01:57:23.5232601Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ...
2022-11-23T01:57:24.5224381Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *cuda* ]]
2022-11-23T01:57:24.5224936Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_jit --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_jit.xml
2022-11-23T01:57:24.9199768Z CUDA not available. Disabling CUDA and MultiCUDA tests
2022-11-23T01:57:24.9208945Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2022-11-23T01:57:24.9209531Z [==========] Running 568 tests from 118 test suites.
2022-11-23T01:57:24.9209858Z [----------] Global test environment set-up.
2022-11-23T01:57:24.9210172Z [----------] 2 tests from AddIfThenElseOpTest
2022-11-23T01:57:24.9210525Z [ RUN      ] AddIfThenElseOpTest.AddIfThenElseOpSimple
2022-11-23T01:57:24.9277759Z [       OK ] AddIfThenElseOpTest.AddIfThenElseOpSimple (6 ms)
2022-11-23T01:57:24.9278486Z [ RUN      ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs
2022-11-23T01:57:24.9278935Z [       OK ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs (0 ms)
2022-11-23T01:57:24.9279388Z [----------] 2 tests from AddIfThenElseOpTest (6 ms total)
2022-11-23T01:57:24.9279597Z 
2022-11-23T01:57:24.9279768Z [----------] 15 tests from TopologicalMoveTest
2022-11-23T01:57:24.9280172Z [ RUN      ] TopologicalMoveTest.SplitsDeps
2022-11-23T01:57:24.9280699Z [       OK ] TopologicalMoveTest.SplitsDeps (0 ms)
2022-11-23T01:57:24.9281154Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardSimple
2022-11-23T01:57:24.9281723Z [       OK ] TopologicalMoveTest.MoveAfterBackwardSimple (0 ms)
2022-11-23T01:57:24.9282341Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardInvalid
2022-11-23T01:57:24.9283110Z [       OK ] TopologicalMoveTest.MoveAfterBackwardInvalid (0 ms)
2022-11-23T01:57:24.9283769Z [ RUN      ] TopologicalMoveTest.MoveAfterNoOp
2022-11-23T01:57:24.9284231Z [       OK ] TopologicalMoveTest.MoveAfterNoOp (0 ms)
2022-11-23T01:57:24.9284920Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps
2022-11-23T01:57:24.9285742Z [       OK ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps (0 ms)
2022-11-23T01:57:24.9286294Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet
2022-11-23T01:57:24.9287055Z [       OK ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet (0 ms)
2022-11-23T01:57:24.9287621Z [ RUN      ] TopologicalMoveTest.MoveAfterForwardSimple
2022-11-23T01:57:24.9288031Z [       OK ] TopologicalMoveTest.MoveAfterForwardSimple (0 ms)
2022-11-23T01:57:24.9288651Z [ RUN      ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet
2022-11-23T01:57:24.9289206Z [       OK ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet (0 ms)
2022-11-23T01:57:24.9289635Z [ RUN      ] TopologicalMoveTest.MoveBeforeForwardSimple
2022-11-23T01:57:24.9290146Z [       OK ] TopologicalMoveTest.MoveBeforeForwardSimple (0 ms)
2022-11-23T01:57:24.9290658Z [ RUN      ] TopologicalMoveTest.MoveBeforeBackwardSimple
2022-11-23T01:57:24.9291085Z [       OK ] TopologicalMoveTest.MoveBeforeBackwardSimple (0 ms)
2022-11-23T01:57:24.9291672Z [ RUN      ] TopologicalMoveTest.MoveBeforeNoOp
2022-11-23T01:57:24.9292026Z [       OK ] TopologicalMoveTest.MoveBeforeNoOp (0 ms)
2022-11-23T01:57:24.9292550Z [ RUN      ] TopologicalMoveTest.MoveBeforeForwardWithDeps
2022-11-23T01:57:24.9292970Z [       OK ] TopologicalMoveTest.MoveBeforeForwardWithDeps (0 ms)
2022-11-23T01:57:24.9293387Z [ RUN      ] TopologicalMoveTest.MoveBeforeBackwardWithDeps
2022-11-23T01:57:24.9293825Z [       OK ] TopologicalMoveTest.MoveBeforeBackwardWithDeps (0 ms)
2022-11-23T01:57:24.9294310Z [ RUN      ] TopologicalMoveTest.DepsDisallowMove
2022-11-23T01:57:24.9295134Z [       OK ] TopologicalMoveTest.DepsDisallowMove (0 ms)
2022-11-23T01:57:24.9295581Z [ RUN      ] TopologicalMoveTest.MoveAfterBeforeWithDeps
2022-11-23T01:57:24.9296189Z [       OK ] TopologicalMoveTest.MoveAfterBeforeWithDeps (0 ms)
2022-11-23T01:57:24.9296733Z [----------] 15 tests from TopologicalMoveTest (1 ms total)
2022-11-23T01:57:24.9296909Z 
2022-11-23T01:57:24.9297071Z [----------] 6 tests from AliasAnalysisTest
2022-11-23T01:57:24.9297424Z [ RUN      ] AliasAnalysisTest.AliasingMutationBlocksMoves
2022-11-23T01:57:24.9331748Z [       OK ] AliasAnalysisTest.AliasingMutationBlocksMoves (3 ms)
2022-11-23T01:57:24.9332265Z [ RUN      ] AliasAnalysisTest.AliasingMutationBlocksMoves2
2022-11-23T01:57:24.9332829Z [       OK ] AliasAnalysisTest.AliasingMutationBlocksMoves2 (0 ms)
2022-11-23T01:57:24.9333419Z [ RUN      ] AliasAnalysisTest.SideEffectsBlockMoves
2022-11-23T01:57:24.9333898Z [       OK ] AliasAnalysisTest.SideEffectsBlockMoves (0 ms)
2022-11-23T01:57:24.9334309Z [ RUN      ] AliasAnalysisTest.MovingAcrossInnerBlocks
2022-11-23T01:57:24.9334801Z [       OK ] AliasAnalysisTest.MovingAcrossInnerBlocks (0 ms)
2022-11-23T01:57:24.9335354Z [ RUN      ] AliasAnalysisTest.NoneHasNoWriters
2022-11-23T01:57:24.9335920Z [       OK ] AliasAnalysisTest.NoneHasNoWriters (0 ms)
2022-11-23T01:57:24.9336407Z [ RUN      ] AliasAnalysisTest.SafeToChangeAliasingRelationship
2022-11-23T01:57:24.9337262Z [       OK ] AliasAnalysisTest.SafeToChangeAliasingRelationship (0 ms)
2022-11-23T01:57:24.9337951Z [----------] 6 tests from AliasAnalysisTest (3 ms total)
2022-11-23T01:57:24.9338250Z 
2022-11-23T01:57:24.9338462Z [----------] 4 tests from WriteTrackingTest
2022-11-23T01:57:24.9338968Z [ RUN      ] WriteTrackingTest.Basic
2022-11-23T01:57:24.9339432Z [       OK ] WriteTrackingTest.Basic (0 ms)
2022-11-23T01:57:24.9339840Z [ RUN      ] WriteTrackingTest.IsMutable
2022-11-23T01:57:24.9340244Z [       OK ] WriteTrackingTest.IsMutable (0 ms)
2022-11-23T01:57:24.9340561Z [ RUN      ] WriteTrackingTest.IsImmutable
2022-11-23T01:57:24.9341084Z [       OK ] WriteTrackingTest.IsImmutable (0 ms)
2022-11-23T01:57:24.9341482Z [ RUN      ] WriteTrackingTest.HasWriters
2022-11-23T01:57:24.9341913Z [       OK ] WriteTrackingTest.HasWriters (0 ms)
2022-11-23T01:57:24.9342398Z [----------] 4 tests from WriteTrackingTest (0 ms total)
2022-11-23T01:57:24.9342585Z 
2022-11-23T01:57:24.9342799Z [----------] 13 tests from ContainerAliasingTest
2022-11-23T01:57:24.9343451Z [ RUN      ] ContainerAliasingTest.MayContainAlias
2022-11-23T01:57:24.9344040Z [       OK ] ContainerAliasingTest.MayContainAlias (0 ms)
2022-11-23T01:57:24.9344551Z [ RUN      ] ContainerAliasingTest.MayContainAlias_cast
2022-11-23T01:57:24.9345018Z [       OK ] ContainerAliasingTest.MayContainAlias_cast (0 ms)
2022-11-23T01:57:24.9345454Z [ RUN      ] ContainerAliasingTest.PrimitveValuesDontAliasContainers
2022-11-23T01:57:24.9346159Z [       OK ] ContainerAliasingTest.PrimitveValuesDontAliasContainers (0 ms)
2022-11-23T01:57:24.9346575Z [ RUN      ] ContainerAliasingTest.UnionAliasing
2022-11-23T01:57:24.9347088Z [       OK ] ContainerAliasingTest.UnionAliasing (0 ms)
2022-11-23T01:57:24.9347562Z [ RUN      ] ContainerAliasingTest.InputsCanAliasOutputs
2022-11-23T01:57:24.9348142Z [       OK ] ContainerAliasingTest.InputsCanAliasOutputs (0 ms)
2022-11-23T01:57:24.9348542Z [ RUN      ] ContainerAliasingTest.NestedTupleConstruct
2022-11-23T01:57:24.9348938Z [       OK ] ContainerAliasingTest.NestedTupleConstruct (0 ms)
2022-11-23T01:57:24.9349351Z [ RUN      ] ContainerAliasingTest.NestedTypes
2022-11-23T01:57:24.9349798Z [       OK ] ContainerAliasingTest.NestedTypes (0 ms)
2022-11-23T01:57:24.9350216Z [ RUN      ] ContainerAliasingTest.Simple
2022-11-23T01:57:24.9350527Z [       OK ] ContainerAliasingTest.Simple (0 ms)
2022-11-23T01:57:24.9350833Z [ RUN      ] ContainerAliasingTest.Lists
2022-11-23T01:57:24.9351158Z [       OK ] ContainerAliasingTest.Lists (0 ms)
2022-11-23T01:57:24.9351579Z [ RUN      ] ContainerAliasingTest.Lists2
2022-11-23T01:57:24.9351900Z [       OK ] ContainerAliasingTest.Lists2 (0 ms)
2022-11-23T01:57:24.9352336Z [ RUN      ] ContainerAliasingTest.Conservative
2022-11-23T01:57:24.9352745Z [       OK ] ContainerAliasingTest.Conservative (0 ms)
2022-11-23T01:57:24.9353122Z [ RUN      ] ContainerAliasingTest.MovesAcrossContainedWrites
2022-11-23T01:57:24.9353607Z [       OK ] ContainerAliasingTest.MovesAcrossContainedWrites (0 ms)
2022-11-23T01:57:24.9354233Z [ RUN      ] ContainerAliasingTest.MovesAcrossContainedWritesNested
2022-11-23T01:57:24.9354859Z [       OK ] ContainerAliasingTest.MovesAcrossContainedWritesNested (0 ms)
2022-11-23T01:57:24.9355458Z [----------] 13 tests from ContainerAliasingTest (1 ms total)
2022-11-23T01:57:24.9355632Z 
2022-11-23T01:57:24.9355783Z [----------] 3 tests from WildcardsTest
2022-11-23T01:57:24.9356062Z [ RUN      ] WildcardsTest.Basic
2022-11-23T01:57:24.9356552Z [       OK ] WildcardsTest.Basic (0 ms)
2022-11-23T01:57:24.9357051Z [ RUN      ] WildcardsTest.TypeIsolation
2022-11-23T01:57:24.9357383Z [       OK ] WildcardsTest.TypeIsolation (0 ms)
2022-11-23T01:57:24.9357869Z [ RUN      ] WildcardsTest.InvariantContainerAliasing
2022-11-23T01:57:24.9358500Z [       OK ] WildcardsTest.InvariantContainerAliasing (0 ms)
2022-11-23T01:57:24.9358884Z [----------] 3 tests from WildcardsTest (0 ms total)
2022-11-23T01:57:24.9359138Z 
2022-11-23T01:57:24.9359464Z [----------] 18 tests from AliasRegistrationTest
2022-11-23T01:57:24.9359983Z [ RUN      ] AliasRegistrationTest.ConservativeWithInferredSchema
2022-11-23T01:57:24.9360449Z [       OK ] AliasRegistrationTest.ConservativeWithInferredSchema (0 ms)
2022-11-23T01:57:24.9360908Z [ RUN      ] AliasRegistrationTest.ConservativeWithSpecifiedSchema
2022-11-23T01:57:24.9361365Z [       OK ] AliasRegistrationTest.ConservativeWithSpecifiedSchema (0 ms)
2022-11-23T01:57:24.9361884Z [ RUN      ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError
2022-11-23T01:57:24.9461260Z [       OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError (10 ms)
2022-11-23T01:57:24.9462126Z [ RUN      ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2
2022-11-23T01:57:24.9507226Z [       OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2 (4 ms)
2022-11-23T01:57:24.9507831Z [ RUN      ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError
2022-11-23T01:57:24.9520849Z [       OK ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError (1 ms)
2022-11-23T01:57:24.9521454Z [ RUN      ] AliasRegistrationTest.FromSchemaInferredPure
2022-11-23T01:57:24.9522086Z [       OK ] AliasRegistrationTest.FromSchemaInferredPure (0 ms)
2022-11-23T01:57:24.9522736Z [ RUN      ] AliasRegistrationTest.FromSchemaAliased
2022-11-23T01:57:24.9523765Z [       OK ] AliasRegistrationTest.FromSchemaAliased (0 ms)
2022-11-23T01:57:24.9524201Z [ RUN      ] AliasRegistrationTest.FromSchemaPure
2022-11-23T01:57:24.9525250Z [       OK ] AliasRegistrationTest.FromSchemaPure (0 ms)
2022-11-23T01:57:24.9525670Z [ RUN      ] AliasRegistrationTest.PureNoSchema
2022-11-23T01:57:24.9526481Z [       OK ] AliasRegistrationTest.PureNoSchema (0 ms)
2022-11-23T01:57:24.9526886Z [ RUN      ] AliasRegistrationTest.PureWithSchema
2022-11-23T01:57:24.9527966Z [       OK ] AliasRegistrationTest.PureWithSchema (0 ms)
2022-11-23T01:57:24.9528693Z [ RUN      ] AliasRegistrationTest.PureWithAnnotationsShouldError
2022-11-23T01:57:24.9561601Z [       OK ] AliasRegistrationTest.PureWithAnnotationsShouldError (3 ms)
2022-11-23T01:57:24.9562220Z [ RUN      ] AliasRegistrationTest.AliasMoveAtenListOp
2022-11-23T01:57:24.9562931Z [       OK ] AliasRegistrationTest.AliasMoveAtenListOp (0 ms)
2022-11-23T01:57:24.9563857Z [ RUN      ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput
2022-11-23T01:57:24.9564794Z [       OK ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput (0 ms)
2022-11-23T01:57:24.9565658Z [ RUN      ] AliasRegistrationTest.RecursiveSubgraphTupleContainment
2022-11-23T01:57:24.9566549Z [       OK ] AliasRegistrationTest.RecursiveSubgraphTupleContainment (0 ms)
2022-11-23T01:57:24.9567089Z [ RUN      ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses
2022-11-23T01:57:24.9567608Z [       OK ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses (0 ms)
2022-11-23T01:57:24.9568061Z [ RUN      ] AliasRegistrationTest.ATenSplitIntListAliasCheck
2022-11-23T01:57:24.9568496Z [       OK ] AliasRegistrationTest.ATenSplitIntListAliasCheck (0 ms)
2022-11-23T01:57:24.9568915Z [ RUN      ] AliasRegistrationTest.ATenSplitIntAliasCheck
2022-11-23T01:57:24.9569314Z [       OK ] AliasRegistrationTest.ATenSplitIntAliasCheck (0 ms)
2022-11-23T01:57:24.9569753Z [ RUN      ] AliasRegistrationTest.PureWithAnnotationsShouldError2
2022-11-23T01:57:24.9600865Z [       OK ] AliasRegistrationTest.PureWithAnnotationsShouldError2 (3 ms)
2022-11-23T01:57:24.9601551Z [----------] 18 tests from AliasRegistrationTest (24 ms total)
2022-11-23T01:57:24.9601889Z 
2022-11-23T01:57:24.9602112Z [----------] 2 tests from IRNonDeterminismTest
2022-11-23T01:57:24.9602418Z [ RUN      ] IRNonDeterminismTest.Basic
2022-11-23T01:57:24.9602804Z [       OK ] IRNonDeterminismTest.Basic (0 ms)
2022-11-23T01:57:24.9603249Z [ RUN      ] IRNonDeterminismTest.DropoutSpecialCase
2022-11-23T01:57:24.9603684Z [       OK ] IRNonDeterminismTest.DropoutSpecialCase (0 ms)
2022-11-23T01:57:24.9604061Z [----------] 2 tests from IRNonDeterminismTest (0 ms total)
2022-11-23T01:57:24.9604225Z 
2022-11-23T01:57:24.9604439Z [----------] 1 test from NonDeterminismBackwardsCompatibility
2022-11-23T01:57:24.9604874Z [ RUN      ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility
2022-11-23T01:57:24.9607369Z [       OK ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility (0 ms)
2022-11-23T01:57:24.9607856Z [----------] 1 test from NonDeterminismBackwardsCompatibility (0 ms total)
2022-11-23T01:57:24.9608067Z 
2022-11-23T01:57:24.9608217Z [----------] 3 tests from AutodiffTest
2022-11-23T01:57:24.9608494Z [ RUN      ] AutodiffTest.ADFormulas
2022-11-23T01:57:25.0071992Z [       OK ] AutodiffTest.ADFormulas (46 ms)
2022-11-23T01:57:25.0072345Z [ RUN      ] AutodiffTest.Differentiate
2022-11-23T01:57:25.0076369Z [       OK ] AutodiffTest.Differentiate (0 ms)
2022-11-23T01:57:25.0076937Z [ RUN      ] AutodiffTest.DifferentiateWithRequiresGrad
2022-11-23T01:57:25.0096644Z [       OK ] AutodiffTest.DifferentiateWithRequiresGrad (1 ms)
2022-11-23T01:57:25.0097309Z [----------] 3 tests from AutodiffTest (49 ms total)
2022-11-23T01:57:25.0097468Z 
2022-11-23T01:57:25.0097682Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest
2022-11-23T01:57:25.0098062Z [ RUN      ] AutodiffRemoveUnusedGradientsTest.Linear
2022-11-23T01:57:25.0109732Z [       OK ] AutodiffRemoveUnusedGradientsTest.Linear (1 ms)
2022-11-23T01:57:25.0110438Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest (1 ms total)
2022-11-23T01:57:25.0110639Z 
2022-11-23T01:57:25.0110793Z [----------] 1 test from UpgraderLoad
2022-11-23T01:57:25.0111103Z [ RUN      ] UpgraderLoad.CanPopulateUpgradersGraph
2022-11-23T01:57:25.0153113Z [       OK ] UpgraderLoad.CanPopulateUpgradersGraph (4 ms)
2022-11-23T01:57:25.0153743Z [----------] 1 test from UpgraderLoad (4 ms total)
2022-11-23T01:57:25.0153937Z 
2022-11-23T01:57:25.0154125Z [----------] 4 tests from OpReplacementTest
2022-11-23T01:57:25.0154570Z [ RUN      ] OpReplacementTest.ReplaceDivInSimpleFunction
2022-11-23T01:57:25.0155380Z [       OK ] OpReplacementTest.ReplaceDivInSimpleFunction (0 ms)
2022-11-23T01:57:25.0156019Z [ RUN      ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction
2022-11-23T01:57:25.0157319Z [       OK ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction (0 ms)
2022-11-23T01:57:25.0157727Z [ RUN      ] OpReplacementTest.ReplaceDivInNestedFunction
2022-11-23T01:57:25.0159541Z [       OK ] OpReplacementTest.ReplaceDivInNestedFunction (0 ms)
2022-11-23T01:57:25.0160027Z [ RUN      ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction
2022-11-23T01:57:25.0161320Z [       OK ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction (0 ms)
2022-11-23T01:57:25.0161928Z [----------] 4 tests from OpReplacementTest (0 ms total)
2022-11-23T01:57:25.0162172Z 
2022-11-23T01:57:25.0162448Z [----------] 4 tests from UpgraderUtils
2022-11-23T01:57:25.0162994Z [ RUN      ] UpgraderUtils.FindCorrectUpgrader
2022-11-23T01:57:25.0163548Z [       OK ] UpgraderUtils.FindCorrectUpgrader (0 ms)
2022-11-23T01:57:25.0164117Z [ RUN      ] UpgraderUtils.IsVersionMapSorted
2022-11-23T01:57:25.0164768Z [       OK ] UpgraderUtils.IsVersionMapSorted (0 ms)
2022-11-23T01:57:25.0165385Z [ RUN      ] UpgraderUtils.FindIfOpIsCurrent
2022-11-23T01:57:25.0166076Z [       OK ] UpgraderUtils.FindIfOpIsCurrent (0 ms)
2022-11-23T01:57:25.0166790Z [ RUN      ] UpgraderUtils.CanLoadHistoricOp
2022-11-23T01:57:25.0167522Z [       OK ] UpgraderUtils.CanLoadHistoricOp (0 ms)
2022-11-23T01:57:25.0168241Z [----------] 4 tests from UpgraderUtils (0 ms total)
2022-11-23T01:57:25.0168569Z 
2022-11-23T01:57:25.0168877Z [----------] 9 tests from BackendTest
2022-11-23T01:57:25.0169451Z [ RUN      ] BackendTest.ToBackend
2022-11-23T01:57:25.0212116Z [       OK ] BackendTest.ToBackend (4 ms)
2022-11-23T01:57:25.0212440Z [ RUN      ] BackendTest.ToBackendNotAvailable
2022-11-23T01:57:25.0234017Z [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T01:57:25.0251710Z [       OK ] BackendTest.ToBackendNotAvailable (3 ms)
2022-11-23T01:57:25.0252036Z [ RUN      ] BackendTest.TestCompiler
2022-11-23T01:57:25.0324822Z [       OK ] BackendTest.TestCompiler (7 ms)
2022-11-23T01:57:25.0325189Z [ RUN      ] BackendTest.TestCompilerWithStringTable
2022-11-23T01:57:25.0379396Z [       OK ] BackendTest.TestCompilerWithStringTable (5 ms)
2022-11-23T01:57:25.0379944Z [ RUN      ] BackendTest.TestComposite
2022-11-23T01:57:25.0483237Z [       OK ] BackendTest.TestComposite (10 ms)
2022-11-23T01:57:25.0483550Z [ RUN      ] BackendTest.TestPrimDtype
2022-11-23T01:57:25.0489255Z [       OK ] BackendTest.TestPrimDtype (0 ms)
2022-11-23T01:57:25.0489622Z [ RUN      ] BackendTest.TestCompositeWithSetStates
2022-11-23T01:57:25.0592273Z [       OK ] BackendTest.TestCompositeWithSetStates (10 ms)
2022-11-23T01:57:25.0592753Z [ RUN      ] BackendTest.TestConsistencyOfCompositeWithSetStates
2022-11-23T01:57:25.0783129Z [       OK ] BackendTest.TestConsistencyOfCompositeWithSetStates (18 ms)
2022-11-23T01:57:25.0783580Z [ RUN      ] BackendTest.TestCompilerNotSupport
2022-11-23T01:57:25.0802520Z [       OK ] BackendTest.TestCompilerNotSupport (2 ms)
2022-11-23T01:57:25.0803169Z [----------] 9 tests from BackendTest (64 ms total)
2022-11-23T01:57:25.0803359Z 
2022-11-23T01:57:25.0803529Z [----------] 6 tests from BackendTestDebugInfo
2022-11-23T01:57:25.0803836Z [ RUN      ] BackendTestDebugInfo.TestCompiler
2022-11-23T01:57:25.0929509Z [       OK ] BackendTestDebugInfo.TestCompiler (12 ms)
2022-11-23T01:57:25.0929914Z [ RUN      ] BackendTestDebugInfo.TestCompilerWithStringTable
2022-11-23T01:57:25.1066771Z [       OK ] BackendTestDebugInfo.TestCompilerWithStringTable (13 ms)
2022-11-23T01:57:25.1067311Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy
2022-11-23T01:57:25.1205258Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy (13 ms)
2022-11-23T01:57:25.1205887Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy
2022-11-23T01:57:25.1334512Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy (12 ms)
2022-11-23T01:57:25.1335155Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule
2022-11-23T01:57:25.1476149Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule (14 ms)
2022-11-23T01:57:25.1476931Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule
2022-11-23T01:57:25.1611111Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule (13 ms)
2022-11-23T01:57:25.1611860Z [----------] 6 tests from BackendTestDebugInfo (80 ms total)
2022-11-23T01:57:25.1612038Z 
2022-11-23T01:57:25.1612195Z [----------] 4 tests from ClassImportTest
2022-11-23T01:57:25.1612478Z [ RUN      ] ClassImportTest.Basic
2022-11-23T01:57:25.1617530Z [       OK ] ClassImportTest.Basic (0 ms)
2022-11-23T01:57:25.1617845Z [ RUN      ] ClassImportTest.ScriptObject
2022-11-23T01:57:25.1643933Z [       OK ] ClassImportTest.ScriptObject (2 ms)
2022-11-23T01:57:25.1644454Z [ RUN      ] ClassImportTest.ClassDerive
2022-11-23T01:57:25.1644930Z [       OK ] ClassImportTest.ClassDerive (0 ms)
2022-11-23T01:57:25.1645327Z [ RUN      ] ClassImportTest.CustomClass
2022-11-23T01:57:25.1646236Z [       OK ] ClassImportTest.CustomClass (0 ms)
2022-11-23T01:57:25.1647062Z [----------] 4 tests from ClassImportTest (3 ms total)
2022-11-23T01:57:25.1647389Z 
2022-11-23T01:57:25.1647678Z [----------] 1 test from ClassParserTest
2022-11-23T01:57:25.1647985Z [ RUN      ] ClassParserTest.Basic
2022-11-23T01:57:25.1648272Z [       OK ] ClassParserTest.Basic (0 ms)
2022-11-23T01:57:25.1648573Z [----------] 1 test from ClassParserTest (0 ms total)
2022-11-23T01:57:25.1648728Z 
2022-11-23T01:57:25.1648877Z [----------] 3 tests from ClassTypeTest
2022-11-23T01:57:25.1649166Z [ RUN      ] ClassTypeTest.AddRemoveAttr
2022-11-23T01:57:25.1649534Z [       OK ] ClassTypeTest.AddRemoveAttr (0 ms)
2022-11-23T01:57:25.1649853Z [ RUN      ] ClassTypeTest.AddRemoveConstant
2022-11-23T01:57:25.1650185Z [       OK ] ClassTypeTest.AddRemoveConstant (0 ms)
2022-11-23T01:57:25.1650527Z [ RUN      ] ClassTypeTest.IdenticalTypesDifferentCus
2022-11-23T01:57:25.1698685Z [       OK ] ClassTypeTest.IdenticalTypesDifferentCus (5 ms)
2022-11-23T01:57:25.1699348Z [----------] 3 tests from ClassTypeTest (5 ms total)
2022-11-23T01:57:25.1699635Z 
2022-11-23T01:57:25.1699924Z [----------] 2 tests from TestCodeTemplate
2022-11-23T01:57:25.1700431Z [ RUN      ] TestCodeTemplate.Copying
2022-11-23T01:57:25.1700736Z [       OK ] TestCodeTemplate.Copying (0 ms)
2022-11-23T01:57:25.1701038Z [ RUN      ] TestCodeTemplate.Formatting
2022-11-23T01:57:25.1701359Z [       OK ] TestCodeTemplate.Formatting (0 ms)
2022-11-23T01:57:25.1701677Z [----------] 2 tests from TestCodeTemplate (0 ms total)
2022-11-23T01:57:25.1701839Z 
2022-11-23T01:57:25.1701989Z [----------] 13 tests from ConcatOptTest
2022-11-23T01:57:25.1702353Z [ RUN      ] ConcatOptTest.SimpleCommonInputsEliminationPrefix
2022-11-23T01:57:25.1756775Z [       OK ] ConcatOptTest.SimpleCommonInputsEliminationPrefix (5 ms)
2022-11-23T01:57:25.1757371Z [ RUN      ] ConcatOptTest.SimpleCommonInputsEliminationSuffix
2022-11-23T01:57:25.1798006Z [       OK ] ConcatOptTest.SimpleCommonInputsEliminationSuffix (4 ms)
2022-11-23T01:57:25.1798649Z [ RUN      ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs
2022-11-23T01:57:25.1831969Z [       OK ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs (3 ms)
2022-11-23T01:57:25.1832577Z [ RUN      ] ConcatOptTest.MoreCommonInputsElimination
2022-11-23T01:57:25.1912583Z [       OK ] ConcatOptTest.MoreCommonInputsElimination (7 ms)
2022-11-23T01:57:25.1913224Z [ RUN      ] ConcatOptTest.ExpandConcat
2022-11-23T01:57:25.1937053Z [       OK ] ConcatOptTest.ExpandConcat (2 ms)
2022-11-23T01:57:25.1937752Z [ RUN      ] ConcatOptTest.ConcatWithoutResultShape
2022-11-23T01:57:25.1960313Z [       OK ] ConcatOptTest.ConcatWithoutResultShape (2 ms)
2022-11-23T01:57:25.1961034Z [ RUN      ] ConcatOptTest.ConcatWithoutInputShape
2022-11-23T01:57:25.1980541Z [       OK ] ConcatOptTest.ConcatWithoutInputShape (2 ms)
2022-11-23T01:57:25.1981003Z [ RUN      ] ConcatOptTest.UseVariadicCat
2022-11-23T01:57:25.2026936Z [       OK ] ConcatOptTest.UseVariadicCat (4 ms)
2022-11-23T01:57:25.2027434Z [ RUN      ] ConcatOptTest.UseVariadicCatWithMultipleListUses
2022-11-23T01:57:25.2051869Z [       OK ] ConcatOptTest.UseVariadicCatWithMultipleListUses (2 ms)
2022-11-23T01:57:25.2052458Z [ RUN      ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat
2022-11-23T01:57:25.2080168Z [       OK ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat (2 ms)
2022-11-23T01:57:25.2080770Z [ RUN      ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat
2022-11-23T01:57:25.2115361Z [       OK ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat (3 ms)
2022-11-23T01:57:25.2116245Z [ RUN      ] ConcatOptTest.UseVariadicCatWithMultipleListMutations
2022-11-23T01:57:25.2158231Z [       OK ] ConcatOptTest.UseVariadicCatWithMultipleListMutations (4 ms)
2022-11-23T01:57:25.2158929Z [ RUN      ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination
2022-11-23T01:57:25.2197978Z [       OK ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination (3 ms)
2022-11-23T01:57:25.2198601Z [----------] 13 tests from ConcatOptTest (49 ms total)
2022-11-23T01:57:25.2198813Z 
2022-11-23T01:57:25.2199026Z [----------] 1 test from OptimizeConcatTest
2022-11-23T01:57:25.2199724Z [ RUN      ] OptimizeConcatTest.UseVariadicCatReplaceMultiple
2022-11-23T01:57:25.2230330Z [       OK ] OptimizeConcatTest.UseVariadicCatReplaceMultiple (3 ms)
2022-11-23T01:57:25.2230873Z [----------] 1 test from OptimizeConcatTest (3 ms total)
2022-11-23T01:57:25.2231092Z 
2022-11-23T01:57:25.2231277Z [----------] 3 tests from ConcatOpt
2022-11-23T01:57:25.2231680Z [ RUN      ] ConcatOpt.CombineConcatsSimpleCase
2022-11-23T01:57:25.2232137Z [       OK ] ConcatOpt.CombineConcatsSimpleCase (0 ms)
2022-11-23T01:57:25.2232581Z [ RUN      ] ConcatOpt.CombineConcatsLongChain
2022-11-23T01:57:25.2234837Z [       OK ] ConcatOpt.CombineConcatsLongChain (0 ms)
2022-11-23T01:57:25.2235275Z [ RUN      ] ConcatOpt.CombineConcatsMutation
2022-11-23T01:57:25.2236988Z [       OK ] ConcatOpt.CombineConcatsMutation (0 ms)
2022-11-23T01:57:25.2237435Z [----------] 3 tests from ConcatOpt (0 ms total)
2022-11-23T01:57:25.2237635Z 
2022-11-23T01:57:25.2237872Z [----------] 4 tests from ConstantPoolingTest
2022-11-23T01:57:25.2238251Z [ RUN      ] ConstantPoolingTest.Int
2022-11-23T01:57:25.2238624Z [       OK ] ConstantPoolingTest.Int (0 ms)
2022-11-23T01:57:25.2239063Z [ RUN      ] ConstantPoolingTest.PoolingAcrossBlocks
2022-11-23T01:57:25.2239565Z [       OK ] ConstantPoolingTest.PoolingAcrossBlocks (0 ms)
2022-11-23T01:57:25.2240064Z [ RUN      ] ConstantPoolingTest.PoolingDifferentDevices
2022-11-23T01:57:25.2242309Z [       OK ] ConstantPoolingTest.PoolingDifferentDevices (0 ms)
2022-11-23T01:57:25.2242814Z [ RUN      ] ConstantPoolingTest.DictConstantPooling
2022-11-23T01:57:25.2243316Z [       OK ] ConstantPoolingTest.DictConstantPooling (0 ms)
2022-11-23T01:57:25.2243790Z [----------] 4 tests from ConstantPoolingTest (0 ms total)
2022-11-23T01:57:25.2244006Z 
2022-11-23T01:57:25.2244206Z [----------] 1 test from CleanupPassTest
2022-11-23T01:57:25.2244570Z [ RUN      ] CleanupPassTest.Basic
2022-11-23T01:57:25.2245350Z [       OK ] CleanupPassTest.Basic (0 ms)
2022-11-23T01:57:25.2245752Z [----------] 1 test from CleanupPassTest (0 ms total)
2022-11-23T01:57:25.2245959Z 
2022-11-23T01:57:25.2246206Z [----------] 1 test from CreateAutodiffSubgraphsTest
2022-11-23T01:57:25.2246639Z [ RUN      ] CreateAutodiffSubgraphsTest.Basic
2022-11-23T01:57:25.2250468Z [       OK ] CreateAutodiffSubgraphsTest.Basic (0 ms)
2022-11-23T01:57:25.2251175Z [----------] 1 test from CreateAutodiffSubgraphsTest (0 ms total)
2022-11-23T01:57:25.2251411Z 
2022-11-23T01:57:25.2251736Z [----------] 4 tests from CustomClassTest
2022-11-23T01:57:25.2252154Z [ RUN      ] CustomClassTest.TorchbindIValueAPI
2022-11-23T01:57:25.2256779Z [       OK ] CustomClassTest.TorchbindIValueAPI (0 ms)
2022-11-23T01:57:25.2257232Z [ RUN      ] CustomClassTest.ScalarTypeClass
2022-11-23T01:57:25.2259896Z [       OK ] CustomClassTest.ScalarTypeClass (0 ms)
2022-11-23T01:57:25.2260330Z [ RUN      ] CustomClassTest.TestDocString
2022-11-23T01:57:25.2260762Z [       OK ] CustomClassTest.TestDocString (0 ms)
2022-11-23T01:57:25.2261172Z [ RUN      ] CustomClassTest.Serialization
2022-11-23T01:57:25.2283884Z [       OK ] CustomClassTest.Serialization (2 ms)
2022-11-23T01:57:25.2284489Z [----------] 4 tests from CustomClassTest (3 ms total)
2022-11-23T01:57:25.2284654Z 
2022-11-23T01:57:25.2284819Z [----------] 5 tests from CustomOperatorTest
2022-11-23T01:57:25.2285141Z [ RUN      ] CustomOperatorTest.InferredSchema
2022-11-23T01:57:25.2286860Z [       OK ] CustomOperatorTest.InferredSchema (0 ms)
2022-11-23T01:57:25.2287457Z [ RUN      ] CustomOperatorTest.ExplicitSchema
2022-11-23T01:57:25.2288862Z [       OK ] CustomOperatorTest.ExplicitSchema (0 ms)
2022-11-23T01:57:25.2289517Z [ RUN      ] CustomOperatorTest.ListParameters
2022-11-23T01:57:25.2290847Z [       OK ] CustomOperatorTest.ListParameters (0 ms)
2022-11-23T01:57:25.2291450Z [ RUN      ] CustomOperatorTest.ListParameters2
2022-11-23T01:57:25.2292805Z [       OK ] CustomOperatorTest.ListParameters2 (0 ms)
2022-11-23T01:57:25.2293385Z [ RUN      ] CustomOperatorTest.Aliasing
2022-11-23T01:57:25.2294903Z [       OK ] CustomOperatorTest.Aliasing (0 ms)
2022-11-23T01:57:25.2295481Z [----------] 5 tests from CustomOperatorTest (1 ms total)
2022-11-23T01:57:25.2295773Z 
2022-11-23T01:57:25.2296039Z [----------] 2 tests from TestCustomOperator
2022-11-23T01:57:25.2296805Z [ RUN      ] TestCustomOperator.OperatorGeneratorUndeclared
2022-11-23T01:57:25.2297364Z [       OK ] TestCustomOperator.OperatorGeneratorUndeclared (0 ms)
2022-11-23T01:57:25.2297764Z [ RUN      ] TestCustomOperator.OperatorGeneratorBasic
2022-11-23T01:57:25.2298148Z [       OK ] TestCustomOperator.OperatorGeneratorBasic (0 ms)
2022-11-23T01:57:25.2298519Z [----------] 2 tests from TestCustomOperator (0 ms total)
2022-11-23T01:57:25.2298703Z 
2022-11-23T01:57:25.2298960Z [----------] 1 test from EliminateDeadCodeTest
2022-11-23T01:57:25.2299323Z [ RUN      ] EliminateDeadCodeTest.Basic
2022-11-23T01:57:25.2299863Z [       OK ] EliminateDeadCodeTest.Basic (0 ms)
2022-11-23T01:57:25.2300391Z [----------] 1 test from EliminateDeadCodeTest (0 ms total)
2022-11-23T01:57:25.2300556Z 
2022-11-23T01:57:25.2300696Z [----------] 2 tests from FuserTest
2022-11-23T01:57:25.2300962Z [ RUN      ] FuserTest.FusionAliasing
2022-11-23T01:57:25.2303627Z [       OK ] FuserTest.FusionAliasing (0 ms)
2022-11-23T01:57:25.2303924Z [ RUN      ] FuserTest.KernelCaching
2022-11-23T01:57:25.2306823Z [       OK ] FuserTest.KernelCaching (0 ms)
2022-11-23T01:57:25.2307178Z [----------] 2 tests from FuserTest (0 ms total)
2022-11-23T01:57:25.2307329Z 
2022-11-23T01:57:25.2307496Z [----------] 1 test from GraphExecutorTest
2022-11-23T01:57:25.2307818Z [ RUN      ] GraphExecutorTest.runAsync_executor
2022-11-23T01:57:25.2342523Z [       OK ] GraphExecutorTest.runAsync_executor (3 ms)
2022-11-23T01:57:25.2343141Z [----------] 1 test from GraphExecutorTest (3 ms total)
2022-11-23T01:57:25.2343450Z 
2022-11-23T01:57:25.2343744Z [----------] 5 tests from GraphIteratorTest
2022-11-23T01:57:25.2344419Z [ RUN      ] GraphIteratorTest.ConstantReturnGraph
2022-11-23T01:57:25.2345078Z [       OK ] GraphIteratorTest.ConstantReturnGraph (0 ms)
2022-11-23T01:57:25.2345583Z [ RUN      ] GraphIteratorTest.GraphWithParameters
2022-11-23T01:57:25.2346218Z [       OK ] GraphIteratorTest.GraphWithParameters (0 ms)
2022-11-23T01:57:25.2346813Z [ RUN      ] GraphIteratorTest.GraphWithIf
2022-11-23T01:57:25.2347409Z [       OK ] GraphIteratorTest.GraphWithIf (0 ms)
2022-11-23T01:57:25.2348028Z [ RUN      ] GraphIteratorTest.GraphWithNestedIf
2022-11-23T01:57:25.2348677Z [       OK ] GraphIteratorTest.GraphWithNestedIf (0 ms)
2022-11-23T01:57:25.2349108Z [ RUN      ] GraphIteratorTest.GraphWithLoop
2022-11-23T01:57:25.2349563Z [       OK ] GraphIteratorTest.GraphWithLoop (0 ms)
2022-11-23T01:57:25.2349916Z [----------] 5 tests from GraphIteratorTest (0 ms total)
2022-11-23T01:57:25.2350078Z 
2022-11-23T01:57:25.2350268Z [----------] 1 test from CSDebugInfoSerializaitionTest
2022-11-23T01:57:25.2350623Z [ RUN      ] CSDebugInfoSerializaitionTest.TwoSubmodules
2022-11-23T01:57:25.2351542Z [       OK ] CSDebugInfoSerializaitionTest.TwoSubmodules (0 ms)
2022-11-23T01:57:25.2352303Z [----------] 1 test from CSDebugInfoSerializaitionTest (0 ms total)
2022-11-23T01:57:25.2352581Z 
2022-11-23T01:57:25.2352729Z [----------] 1 test from InlinerTest
2022-11-23T01:57:25.2352976Z [ RUN      ] InlinerTest.Basic
2022-11-23T01:57:25.2354298Z [       OK ] InlinerTest.Basic (0 ms)
2022-11-23T01:57:25.2354893Z [----------] 1 test from InlinerTest (0 ms total)
2022-11-23T01:57:25.2355171Z 
2022-11-23T01:57:25.2355357Z [----------] 1 test from InterfaceTest
2022-11-23T01:57:25.2355692Z [ RUN      ] InterfaceTest.ModuleInterfaceSerialization
2022-11-23T01:57:25.2368242Z [       OK ] InterfaceTest.ModuleInterfaceSerialization (1 ms)
2022-11-23T01:57:25.2368881Z [----------] 1 test from InterfaceTest (1 ms total)
2022-11-23T01:57:25.2381273Z 
2022-11-23T01:57:25.2381581Z [----------] 4 tests from TypeCheckTest
2022-11-23T01:57:25.2382003Z [ RUN      ] TypeCheckTest.MatchingType
2022-11-23T01:57:25.2382595Z [       OK ] TypeCheckTest.MatchingType (0 ms)
2022-11-23T01:57:25.2383166Z [ RUN      ] TypeCheckTest.SizeMismatch
2022-11-23T01:57:25.2383677Z [       OK ] TypeCheckTest.SizeMismatch (0 ms)
2022-11-23T01:57:25.2383984Z [ RUN      ] TypeCheckTest.GradientMismatch
2022-11-23T01:57:25.2384315Z [       OK ] TypeCheckTest.GradientMismatch (0 ms)
2022-11-23T01:57:25.2384650Z [ RUN      ] TypeCheckTest.ScalarTypeMismatch
2022-11-23T01:57:25.2384980Z [       OK ] TypeCheckTest.ScalarTypeMismatch (0 ms)
2022-11-23T01:57:25.2385323Z [----------] 4 tests from TypeCheckTest (0 ms total)
2022-11-23T01:57:25.2385478Z 
2022-11-23T01:57:25.2385632Z [----------] 3 tests from InterpreterTest
2022-11-23T01:57:25.2385945Z [ RUN      ] InterpreterTest.IgnorableArgsInSchema
2022-11-23T01:57:25.2386312Z [       OK ] InterpreterTest.IgnorableArgsInSchema (0 ms)
2022-11-23T01:57:25.2386696Z [ RUN      ] InterpreterTest.IgnorableArgsInSchemaWithOut
2022-11-23T01:57:25.2387107Z [       OK ] InterpreterTest.IgnorableArgsInSchemaWithOut (0 ms)
2022-11-23T01:57:25.2387470Z [ RUN      ] InterpreterTest.runAsyncBasicTest
2022-11-23T01:57:25.2395861Z [       OK ] InterpreterTest.runAsyncBasicTest (1 ms)
2022-11-23T01:57:25.2396307Z [----------] 3 tests from InterpreterTest (2 ms total)
2022-11-23T01:57:25.2396495Z 
2022-11-23T01:57:25.2396725Z [----------] 1 test from EnableRethrowCaughtExceptionTest
2022-11-23T01:57:25.2397391Z [ RUN      ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException
2022-11-23T01:57:25.2605466Z [       OK ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException (20 ms)
2022-11-23T01:57:25.2606123Z [----------] 1 test from EnableRethrowCaughtExceptionTest (20 ms total)
2022-11-23T01:57:25.2606376Z 
2022-11-23T01:57:25.2606503Z [----------] 4 tests from IRTest
2022-11-23T01:57:25.2606763Z [ RUN      ] IRTest.Attributes
2022-11-23T01:57:25.2607121Z [       OK ] IRTest.Attributes (0 ms)
2022-11-23T01:57:25.2607509Z [ RUN      ] IRTest.Blocks
2022-11-23T01:57:25.2607855Z [       OK ] IRTest.Blocks (0 ms)
2022-11-23T01:57:25.2608244Z [ RUN      ] IRTest.CommonAncestor
2022-11-23T01:57:25.2608664Z [       OK ] IRTest.CommonAncestor (0 ms)
2022-11-23T01:57:25.2609314Z [ RUN      ] IRTest.OperatorMap
2022-11-23T01:57:25.2609847Z [       OK ] IRTest.OperatorMap (0 ms)
2022-11-23T01:57:25.2610400Z [----------] 4 tests from IRTest (0 ms total)
2022-11-23T01:57:25.2610636Z 
2022-11-23T01:57:25.2610863Z [----------] 21 tests from IRParserTest
2022-11-23T01:57:25.2611249Z [ RUN      ] IRParserTest.Basic
2022-11-23T01:57:25.2611623Z [       OK ] IRParserTest.Basic (0 ms)
2022-11-23T01:57:25.2611943Z [ RUN      ] IRParserTest.NestedBlock
2022-11-23T01:57:25.2612432Z [       OK ] IRParserTest.NestedBlock (0 ms)
2022-11-23T01:57:25.2612974Z [ RUN      ] IRParserTest.If
2022-11-23T01:57:25.2613332Z [       OK ] IRParserTest.If (0 ms)
2022-11-23T01:57:25.2613637Z [ RUN      ] IRParserTest.If2
2022-11-23T01:57:25.2614053Z [       OK ] IRParserTest.If2 (0 ms)
2022-11-23T01:57:25.2614513Z [ RUN      ] IRParserTest.InferredTypeIsTensor
2022-11-23T01:57:25.2615099Z [       OK ] IRParserTest.InferredTypeIsTensor (0 ms)
2022-11-23T01:57:25.2615412Z [ RUN      ] IRParserTest.ValueReuse
2022-11-23T01:57:25.2615815Z [       OK ] IRParserTest.ValueReuse (0 ms)
2022-11-23T01:57:25.2616229Z [ RUN      ] IRParserTest.Attributes
2022-11-23T01:57:25.2616880Z [       OK ] IRParserTest.Attributes (0 ms)
2022-11-23T01:57:25.2617297Z [ RUN      ] IRParserTest.OptionalTypes
2022-11-23T01:57:25.2617819Z [       OK ] IRParserTest.OptionalTypes (0 ms)
2022-11-23T01:57:25.2618281Z [ RUN      ] IRParserTest.StarTensor
2022-11-23T01:57:25.2618794Z [       OK ] IRParserTest.StarTensor (0 ms)
2022-11-23T01:57:25.2619313Z [ RUN      ] IRParserTest.UnshapedTensor
2022-11-23T01:57:25.2619740Z [       OK ] IRParserTest.UnshapedTensor (0 ms)
2022-11-23T01:57:25.2620240Z [ RUN      ] IRParserTest.ShapedTensor
2022-11-23T01:57:25.2620750Z [       OK ] IRParserTest.ShapedTensor (0 ms)
2022-11-23T01:57:25.2621262Z [ RUN      ] IRParserTest.NestedContrainer
2022-11-23T01:57:25.2621832Z [       OK ] IRParserTest.NestedContrainer (0 ms)
2022-11-23T01:57:25.2622317Z [ RUN      ] IRParserTest.MalformedShapeAnnotation
2022-11-23T01:57:25.2622693Z [       OK ] IRParserTest.MalformedShapeAnnotation (0 ms)
2022-11-23T01:57:25.2623003Z [ RUN      ] IRParserTest.FileCheck
2022-11-23T01:57:25.2623294Z [       OK ] IRParserTest.FileCheck (0 ms)
2022-11-23T01:57:25.2623577Z [ RUN      ] IRParserTest.Strides
2022-11-23T01:57:25.2623863Z [       OK ] IRParserTest.Strides (0 ms)
2022-11-23T01:57:25.2624149Z [ RUN      ] IRParserTest.MalformedStrides
2022-11-23T01:57:25.2624473Z [       OK ] IRParserTest.MalformedStrides (0 ms)
2022-11-23T01:57:25.2624781Z [ RUN      ] IRParserTest.TensorShapes
2022-11-23T01:57:25.2625076Z [       OK ] IRParserTest.TensorShapes (0 ms)
2022-11-23T01:57:25.2625423Z [ RUN      ] IRParserTest.DeviceAndRequiresGradTensors
2022-11-23T01:57:25.2625814Z [       OK ] IRParserTest.DeviceAndRequiresGradTensors (0 ms)
2022-11-23T01:57:25.2626139Z [ RUN      ] IRParserTest.ListConstant
2022-11-23T01:57:25.2626443Z [       OK ] IRParserTest.ListConstant (0 ms)
2022-11-23T01:57:25.2626758Z [ RUN      ] IRParserTest.PartialStarTensor
2022-11-23T01:57:25.2627090Z [       OK ] IRParserTest.PartialStarTensor (0 ms)
2022-11-23T01:57:25.2627419Z [ RUN      ] IRParserTest.ComplexTensorAttributes
2022-11-23T01:57:25.2627797Z [       OK ] IRParserTest.ComplexTensorAttributes (0 ms)
2022-11-23T01:57:25.2628151Z [----------] 21 tests from IRParserTest (1 ms total)
2022-11-23T01:57:25.2628304Z 
2022-11-23T01:57:25.2628436Z [----------] 2 tests from JitTypeTest
2022-11-23T01:57:25.2628710Z [ RUN      ] JitTypeTest.IsComplete
2022-11-23T01:57:25.2629109Z [       OK ] JitTypeTest.IsComplete (0 ms)
2022-11-23T01:57:25.2629394Z [ RUN      ] JitTypeTest.UnifyTypes
2022-11-23T01:57:25.2629683Z [       OK ] JitTypeTest.UnifyTypes (0 ms)
2022-11-23T01:57:25.2629996Z [----------] 2 tests from JitTypeTest (0 ms total)
2022-11-23T01:57:25.2630146Z 
2022-11-23T01:57:25.2630314Z [----------] 42 tests from LiteInterpreterTest
2022-11-23T01:57:25.2630637Z [ RUN      ] LiteInterpreterTest.UpsampleNearest2d
2022-11-23T01:57:25.2638102Z [       OK ] LiteInterpreterTest.UpsampleNearest2d (1 ms)
2022-11-23T01:57:25.2638520Z [ RUN      ] LiteInterpreterTest.CheckAttrAccess
2022-11-23T01:57:25.2639572Z [       OK ] LiteInterpreterTest.CheckAttrAccess (0 ms)
2022-11-23T01:57:25.2639934Z [ RUN      ] LiteInterpreterTest.MethodInvocation
2022-11-23T01:57:25.2666113Z [       OK ] LiteInterpreterTest.MethodInvocation (2 ms)
2022-11-23T01:57:25.2666473Z [ RUN      ] LiteInterpreterTest.Conv
2022-11-23T01:57:25.2692765Z [       OK ] LiteInterpreterTest.Conv (2 ms)
2022-11-23T01:57:25.2693210Z [ RUN      ] LiteInterpreterTest.Inline
2022-11-23T01:57:25.2702515Z [       OK ] LiteInterpreterTest.Inline (1 ms)
2022-11-23T01:57:25.2702861Z [ RUN      ] LiteInterpreterTest.Tuple
2022-11-23T01:57:25.2709248Z [       OK ] LiteInterpreterTest.Tuple (0 ms)
2022-11-23T01:57:25.2709582Z [ RUN      ] LiteInterpreterTest.AtenFormat
2022-11-23T01:57:25.2721263Z [       OK ] LiteInterpreterTest.AtenFormat (1 ms)
2022-11-23T01:57:25.2721602Z [ RUN      ] LiteInterpreterTest.PrimDevice
2022-11-23T01:57:25.2725331Z [       OK ] LiteInterpreterTest.PrimDevice (0 ms)
2022-11-23T01:57:25.2725659Z [ RUN      ] LiteInterpreterTest.Dict
2022-11-23T01:57:25.2732160Z [       OK ] LiteInterpreterTest.Dict (0 ms)
2022-11-23T01:57:25.2732453Z [ RUN      ] LiteInterpreterTest.List
2022-11-23T01:57:25.2741237Z [       OK ] LiteInterpreterTest.List (0 ms)
2022-11-23T01:57:25.2741851Z [ RUN      ] LiteInterpreterTest.PrimOverload
2022-11-23T01:57:25.2742220Z [       OK ] LiteInterpreterTest.PrimOverload (0 ms)
2022-11-23T01:57:25.2742538Z [ RUN      ] LiteInterpreterTest.Prim
2022-11-23T01:57:25.2745529Z [       OK ] LiteInterpreterTest.Prim (0 ms)
2022-11-23T01:57:25.2745842Z [ RUN      ] LiteInterpreterTest.PrimScalar
2022-11-23T01:57:25.2750305Z [       OK ] LiteInterpreterTest.PrimScalar (0 ms)
2022-11-23T01:57:25.2750639Z [ RUN      ] LiteInterpreterTest.LoadOrigJit
2022-11-23T01:57:25.2808576Z [       OK ] LiteInterpreterTest.LoadOrigJit (5 ms)
2022-11-23T01:57:25.2808960Z [ RUN      ] LiteInterpreterTest.WrongMethodName
2022-11-23T01:57:25.2829292Z [       OK ] LiteInterpreterTest.WrongMethodName (2 ms)
2022-11-23T01:57:25.2829704Z [ RUN      ] LiteInterpreterTest.SetState
2022-11-23T01:57:25.2855818Z [       OK ] LiteInterpreterTest.SetState (2 ms)
2022-11-23T01:57:25.2856196Z [ RUN      ] LiteInterpreterTest.BuiltinClass
2022-11-23T01:57:25.2863973Z [       OK ] LiteInterpreterTest.BuiltinClass (0 ms)
2022-11-23T01:57:25.2864386Z [ RUN      ] LiteInterpreterTest.BuiltinFunction
2022-11-23T01:57:25.2867599Z [       OK ] LiteInterpreterTest.BuiltinFunction (0 ms)
2022-11-23T01:57:25.2868013Z [ RUN      ] LiteInterpreterTest.GetRuntimeByteCodeVersion
2022-11-23T01:57:25.2868441Z [       OK ] LiteInterpreterTest.GetRuntimeByteCodeVersion (0 ms)
2022-11-23T01:57:25.2868870Z [ RUN      ] LiteInterpreterTest.GetRuntimeOperatorsVersion
2022-11-23T01:57:25.2869283Z [       OK ] LiteInterpreterTest.GetRuntimeOperatorsVersion (0 ms)
2022-11-23T01:57:25.2869678Z [ RUN      ] LiteInterpreterTest.GetByteCodeVersion
2022-11-23T01:57:25.2872423Z [       OK ] LiteInterpreterTest.GetByteCodeVersion (0 ms)
2022-11-23T01:57:25.2872789Z [ RUN      ] LiteInterpreterTest.GetContainTypes
2022-11-23T01:57:25.2874621Z [       OK ] LiteInterpreterTest.GetContainTypes (0 ms)
2022-11-23T01:57:25.2875042Z [ RUN      ] LiteInterpreterTest.BackPortByteCodeModelAllVersions
2022-11-23T01:57:25.3765652Z [       OK ] LiteInterpreterTest.BackPortByteCodeModelAllVersions (88 ms)
2022-11-23T01:57:25.3766174Z [ RUN      ] LiteInterpreterTest.GetRuntimeOpsAndInfo
2022-11-23T01:57:25.3833415Z [       OK ] LiteInterpreterTest.GetRuntimeOpsAndInfo (6 ms)
2022-11-23T01:57:25.3834058Z [ RUN      ] LiteInterpreterTest.isCompatibleSuccess
2022-11-23T01:57:25.3895318Z [       OK ] LiteInterpreterTest.isCompatibleSuccess (6 ms)
2022-11-23T01:57:25.3895687Z [ RUN      ] LiteInterpreterTest.isCompatibleFail
2022-11-23T01:57:25.4009199Z [       OK ] LiteInterpreterTest.isCompatibleFail (11 ms)
2022-11-23T01:57:25.4009550Z [ RUN      ] LiteInterpreterTest.Eval
2022-11-23T01:57:25.4020933Z [       OK ] LiteInterpreterTest.Eval (1 ms)
2022-11-23T01:57:25.4021346Z [ RUN      ] LiteInterpreterTest.FindWrongMethodName
2022-11-23T01:57:25.4025395Z [       OK ] LiteInterpreterTest.FindWrongMethodName (0 ms)
2022-11-23T01:57:25.4025779Z [ RUN      ] LiteInterpreterTest.FindAndRunMethod
2022-11-23T01:57:25.4032685Z [       OK ] LiteInterpreterTest.FindAndRunMethod (0 ms)
2022-11-23T01:57:25.4033056Z [ RUN      ] LiteInterpreterTest.RunMethodVariadic
2022-11-23T01:57:25.4039599Z [       OK ] LiteInterpreterTest.RunMethodVariadic (0 ms)
2022-11-23T01:57:25.4039977Z [ RUN      ] LiteInterpreterTest.DuplicateSetState
2022-11-23T01:57:25.4050035Z [       OK ] LiteInterpreterTest.DuplicateSetState (1 ms)
2022-11-23T01:57:25.4050387Z [ RUN      ] LiteInterpreterTest.ExtraFiles
2022-11-23T01:57:25.4055568Z [       OK ] LiteInterpreterTest.ExtraFiles (0 ms)
2022-11-23T01:57:25.4055961Z [ RUN      ] LiteInterpreterTest.OpNameExportFetchRootOperators
2022-11-23T01:57:25.4064681Z [       OK ] LiteInterpreterTest.OpNameExportFetchRootOperators (0 ms)
2022-11-23T01:57:25.4065115Z [ RUN      ] LiteInterpreterTest.DefaultArgsConv
2022-11-23T01:57:25.4079019Z [       OK ] LiteInterpreterTest.DefaultArgsConv (1 ms)
2022-11-23T01:57:25.4079369Z [ RUN      ] LiteInterpreterTest.DefaultArgsPinv
2022-11-23T01:57:25.4129258Z [       OK ] LiteInterpreterTest.DefaultArgsPinv (5 ms)
2022-11-23T01:57:25.4129688Z [ RUN      ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T01:57:25.4173207Z [       OK ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault (4 ms)
2022-11-23T01:57:25.4173652Z [ RUN      ] LiteInterpreterTest.DefaultArgsPinvWithOutArg
2022-11-23T01:57:25.4193728Z [       OK ] LiteInterpreterTest.DefaultArgsPinvWithOutArg (2 ms)
2022-11-23T01:57:25.4194140Z [ RUN      ] LiteInterpreterTest.DefaultArgsWithOutArg
2022-11-23T01:57:25.4202070Z [       OK ] LiteInterpreterTest.DefaultArgsWithOutArg (0 ms)
2022-11-23T01:57:25.4202539Z [ RUN      ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy
2022-11-23T01:57:25.4303210Z [       OK ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy (10 ms)
2022-11-23T01:57:25.4303754Z [ RUN      ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T01:57:25.4339366Z [       OK ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs (3 ms)
2022-11-23T01:57:25.4339813Z [ RUN      ] LiteInterpreterTest.OperatorSize1
2022-11-23T01:57:25.4343967Z [       OK ] LiteInterpreterTest.OperatorSize1 (0 ms)
2022-11-23T01:57:25.4344321Z [ RUN      ] LiteInterpreterTest.OperatorTest2
2022-11-23T01:57:25.4361380Z [       OK ] LiteInterpreterTest.OperatorTest2 (1 ms)
2022-11-23T01:57:25.4361948Z [----------] 42 tests from LiteInterpreterTest (173 ms total)
2022-11-23T01:57:25.4362297Z 
2022-11-23T01:57:25.4362583Z [----------] 3 tests from RunTimeTest
2022-11-23T01:57:25.4362899Z [ RUN      ] RunTimeTest.ParseBytecode
2022-11-23T01:57:25.4363194Z [       OK ] RunTimeTest.ParseBytecode (0 ms)
2022-11-23T01:57:25.4363499Z [ RUN      ] RunTimeTest.ParseOperator
2022-11-23T01:57:25.4363805Z [       OK ] RunTimeTest.ParseOperator (0 ms)
2022-11-23T01:57:25.4364086Z [ RUN      ] RunTimeTest.RuntimeCall
2022-11-23T01:57:25.4364454Z [       OK ] RunTimeTest.RuntimeCall (0 ms)
2022-11-23T01:57:25.4364770Z [----------] 3 tests from RunTimeTest (0 ms total)
2022-11-23T01:57:25.4364922Z 
2022-11-23T01:57:25.4365101Z [----------] 11 tests from LiteInterpreterUpgraderTest
2022-11-23T01:57:25.4365466Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorV2
2022-11-23T01:57:25.4367993Z [       OK ] LiteInterpreterUpgraderTest.DivTensorV2 (0 ms)
2022-11-23T01:57:25.4368391Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorOutV2
2022-11-23T01:57:25.4373369Z [       OK ] LiteInterpreterUpgraderTest.DivTensorOutV2 (0 ms)
2022-11-23T01:57:25.4373798Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorInplaceV2
2022-11-23T01:57:25.4378884Z [       OK ] LiteInterpreterUpgraderTest.DivTensorInplaceV2 (0 ms)
2022-11-23T01:57:25.4379510Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarFloatV2
2022-11-23T01:57:25.4386362Z [       OK ] LiteInterpreterUpgraderTest.DivScalarFloatV2 (0 ms)
2022-11-23T01:57:25.4387025Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2
2022-11-23T01:57:25.4392527Z expect output:  0.5000
2022-11-23T01:57:25.4392897Z [ CPUFloatType{1} ]actual output:  0.5000
2022-11-23T01:57:25.4393566Z [ CPUFloatType{1} ][       OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2 (0 ms)
2022-11-23T01:57:25.4394056Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2
2022-11-23T01:57:25.4398203Z [       OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2 (0 ms)
2022-11-23T01:57:25.4398643Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarScalarV2
2022-11-23T01:57:25.4403533Z [       OK ] LiteInterpreterUpgraderTest.DivScalarScalarV2 (0 ms)
2022-11-23T01:57:25.4403953Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarIntV2
2022-11-23T01:57:25.4411433Z [       OK ] LiteInterpreterUpgraderTest.DivScalarIntV2 (0 ms)
2022-11-23T01:57:25.4411859Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2
2022-11-23T01:57:25.4416703Z [       OK ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2 (0 ms)
2022-11-23T01:57:25.4417177Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2
2022-11-23T01:57:25.4420939Z [       OK ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2 (0 ms)
2022-11-23T01:57:25.4421691Z [ RUN      ] LiteInterpreterUpgraderTest.Upgrader
2022-11-23T01:57:25.4422065Z [       OK ] LiteInterpreterUpgraderTest.Upgrader (0 ms)
2022-11-23T01:57:25.4422463Z [----------] 11 tests from LiteInterpreterUpgraderTest (5 ms total)
2022-11-23T01:57:25.4422651Z 
2022-11-23T01:57:25.4422823Z [----------] 29 tests from LiteInterpreterDirectTest
2022-11-23T01:57:25.4423192Z [ RUN      ] LiteInterpreterDirectTest.UpsampleNearest2d
2022-11-23T01:57:25.4430570Z [       OK ] LiteInterpreterDirectTest.UpsampleNearest2d (0 ms)
2022-11-23T01:57:25.4431241Z [ RUN      ] LiteInterpreterDirectTest.CheckAttrAccess
2022-11-23T01:57:25.4431628Z [       OK ] LiteInterpreterDirectTest.CheckAttrAccess (0 ms)
2022-11-23T01:57:25.4432017Z [ RUN      ] LiteInterpreterDirectTest.MethodInvocation
2022-11-23T01:57:25.4436038Z hello 
2022-11-23T01:57:25.4436341Z hello 3
2022-11-23T01:57:25.4443501Z hello 
2022-11-23T01:57:25.4443817Z hello 3
2022-11-23T01:57:25.4448293Z hello 
2022-11-23T01:57:25.4448580Z hello 3
2022-11-23T01:57:25.4449282Z [       OK ] LiteInterpreterDirectTest.MethodInvocation (1 ms)
2022-11-23T01:57:25.4449764Z [ RUN      ] LiteInterpreterDirectTest.Conv
2022-11-23T01:57:25.4464223Z [       OK ] LiteInterpreterDirectTest.Conv (1 ms)
2022-11-23T01:57:25.4464768Z [ RUN      ] LiteInterpreterDirectTest.Inline
2022-11-23T01:57:25.4470677Z [       OK ] LiteInterpreterDirectTest.Inline (0 ms)
2022-11-23T01:57:25.4471214Z [ RUN      ] LiteInterpreterDirectTest.Tuple
2022-11-23T01:57:25.4474758Z [       OK ] LiteInterpreterDirectTest.Tuple (0 ms)
2022-11-23T01:57:25.4475325Z [ RUN      ] LiteInterpreterDirectTest.Dict
2022-11-23T01:57:25.4478775Z [       OK ] LiteInterpreterDirectTest.Dict (0 ms)
2022-11-23T01:57:25.4479352Z [ RUN      ] LiteInterpreterDirectTest.Prim
2022-11-23T01:57:25.4481654Z [       OK ] LiteInterpreterDirectTest.Prim (0 ms)
2022-11-23T01:57:25.4482259Z [ RUN      ] LiteInterpreterDirectTest.PrimScalar
2022-11-23T01:57:25.4485080Z [       OK ] LiteInterpreterDirectTest.PrimScalar (0 ms)
2022-11-23T01:57:25.4485711Z [ RUN      ] LiteInterpreterDirectTest.WrongMethodName
2022-11-23T01:57:25.4504531Z [       OK ] LiteInterpreterDirectTest.WrongMethodName (1 ms)
2022-11-23T01:57:25.4505088Z [ RUN      ] LiteInterpreterDirectTest.SetState
2022-11-23T01:57:25.4522849Z [       OK ] LiteInterpreterDirectTest.SetState (1 ms)
2022-11-23T01:57:25.4523449Z [ RUN      ] LiteInterpreterDirectTest.BuiltinFunction
2022-11-23T01:57:25.4524833Z [       OK ] LiteInterpreterDirectTest.BuiltinFunction (0 ms)
2022-11-23T01:57:25.4525574Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion
2022-11-23T01:57:25.4526110Z [       OK ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion (0 ms)
2022-11-23T01:57:25.4526567Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion
2022-11-23T01:57:25.4527032Z [       OK ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion (0 ms)
2022-11-23T01:57:25.4527450Z [ RUN      ] LiteInterpreterDirectTest.GetByteCodeVersion
2022-11-23T01:57:25.4527865Z [       OK ] LiteInterpreterDirectTest.GetByteCodeVersion (0 ms)
2022-11-23T01:57:25.4528284Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo
2022-11-23T01:57:25.4593259Z [       OK ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo (6 ms)
2022-11-23T01:57:25.4593634Z [ RUN      ] LiteInterpreterDirectTest.Eval
2022-11-23T01:57:25.4600111Z [       OK ] LiteInterpreterDirectTest.Eval (0 ms)
2022-11-23T01:57:25.4600574Z [ RUN      ] LiteInterpreterDirectTest.FindWrongMethodName
2022-11-23T01:57:25.4602813Z [       OK ] LiteInterpreterDirectTest.FindWrongMethodName (0 ms)
2022-11-23T01:57:25.4603232Z [ RUN      ] LiteInterpreterDirectTest.FindAndRunMethod
2022-11-23T01:57:25.4608200Z [       OK ] LiteInterpreterDirectTest.FindAndRunMethod (0 ms)
2022-11-23T01:57:25.4608606Z [ RUN      ] LiteInterpreterDirectTest.RunMethodVariadic
2022-11-23T01:57:25.4613177Z [       OK ] LiteInterpreterDirectTest.RunMethodVariadic (0 ms)
2022-11-23T01:57:25.4613628Z [ RUN      ] LiteInterpreterDirectTest.DuplicateSetState
2022-11-23T01:57:25.4618262Z [       OK ] LiteInterpreterDirectTest.DuplicateSetState (0 ms)
2022-11-23T01:57:25.4618781Z [ RUN      ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators
2022-11-23T01:57:25.4623489Z [       OK ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators (0 ms)
2022-11-23T01:57:25.4623947Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsConv
2022-11-23T01:57:25.4634128Z [       OK ] LiteInterpreterDirectTest.DefaultArgsConv (1 ms)
2022-11-23T01:57:25.4634764Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsPinv
2022-11-23T01:57:25.4672083Z [       OK ] LiteInterpreterDirectTest.DefaultArgsPinv (3 ms)
2022-11-23T01:57:25.4672683Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T01:57:25.4680049Z [       OK ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault (0 ms)
2022-11-23T01:57:25.4680656Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg
2022-11-23T01:57:25.4700002Z [       OK ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg (1 ms)
2022-11-23T01:57:25.4700720Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsWithOutArg
2022-11-23T01:57:25.4705685Z [       OK ] LiteInterpreterDirectTest.DefaultArgsWithOutArg (0 ms)
2022-11-23T01:57:25.4706388Z [ RUN      ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy
2022-11-23T01:57:25.4801728Z [       OK ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy (9 ms)
2022-11-23T01:57:25.4802349Z [ RUN      ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T01:57:25.4821796Z [       OK ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs (2 ms)
2022-11-23T01:57:25.4822446Z [----------] 29 tests from LiteInterpreterDirectTest (40 ms total)
2022-11-23T01:57:25.4822638Z 
2022-11-23T01:57:25.4822798Z [----------] 7 tests from LiteTrainerTest
2022-11-23T01:57:25.4823089Z [ RUN      ] LiteTrainerTest.Params
2022-11-23T01:57:25.4906670Z [       OK ] LiteTrainerTest.Params (8 ms)
2022-11-23T01:57:25.4907037Z [ RUN      ] LiteTrainerTest.SGD
2022-11-23T01:57:25.4979283Z [       OK ] LiteTrainerTest.SGD (7 ms)
2022-11-23T01:57:25.4979857Z [ RUN      ] LiteTrainerTest.SequentialSampler
2022-11-23T01:57:25.4980469Z [       OK ] LiteTrainerTest.SequentialSampler (0 ms)
2022-11-23T01:57:25.4980905Z [ RUN      ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange
2022-11-23T01:57:25.4981407Z [       OK ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2022-11-23T01:57:25.4981907Z [ RUN      ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch
2022-11-23T01:57:25.4982398Z [       OK ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T01:57:25.4982834Z [ RUN      ] LiteTrainerTest.RandomSamplerResetsWell
2022-11-23T01:57:25.4983224Z [       OK ] LiteTrainerTest.RandomSamplerResetsWell (0 ms)
2022-11-23T01:57:25.4983653Z [ RUN      ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell
2022-11-23T01:57:25.4984181Z [       OK ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T01:57:25.4984791Z [----------] 7 tests from LiteTrainerTest (15 ms total)
2022-11-23T01:57:25.4984991Z 
2022-11-23T01:57:25.4985144Z [----------] 6 tests from MobileTest
2022-11-23T01:57:25.4985439Z [ RUN      ] MobileTest.SaveLoadParametersEmpty
2022-11-23T01:57:25.4985949Z [       OK ] MobileTest.SaveLoadParametersEmpty (0 ms)
2022-11-23T01:57:25.4986391Z [ RUN      ] MobileTest.SaveParametersDefaultsToZip
2022-11-23T01:57:25.4986802Z [       OK ] MobileTest.SaveParametersDefaultsToZip (0 ms)
2022-11-23T01:57:25.4987186Z [ RUN      ] MobileTest.SaveParametersCanUseFlatbuffer
2022-11-23T01:57:25.4987577Z [       OK ] MobileTest.SaveParametersCanUseFlatbuffer (0 ms)
2022-11-23T01:57:25.4987983Z [ RUN      ] MobileTest.SaveLoadParametersUsingFlatbuffers
2022-11-23T01:57:25.4988389Z [       OK ] MobileTest.SaveLoadParametersUsingFlatbuffers (0 ms)
2022-11-23T01:57:25.4988827Z [ RUN      ] MobileTest.LoadParametersUnexpectedFormatShouldThrow
2022-11-23T01:57:25.5009552Z [       OK ] MobileTest.LoadParametersUnexpectedFormatShouldThrow (2 ms)
2022-11-23T01:57:25.5010093Z [ RUN      ] MobileTest.LoadParametersEmptyDataShouldThrow
2022-11-23T01:57:25.5031142Z [       OK ] MobileTest.LoadParametersEmptyDataShouldThrow (2 ms)
2022-11-23T01:57:25.5031857Z [----------] 6 tests from MobileTest (5 ms total)
2022-11-23T01:57:25.5032011Z 
2022-11-23T01:57:25.5032164Z [----------] 1 test from MemoryDAGTest
2022-11-23T01:57:25.5032424Z [ RUN      ] MemoryDAGTest.Basic
2022-11-23T01:57:25.5032706Z [       OK ] MemoryDAGTest.Basic (0 ms)
2022-11-23T01:57:25.5033015Z [----------] 1 test from MemoryDAGTest (0 ms total)
2022-11-23T01:57:25.5033320Z 
2022-11-23T01:57:25.5033486Z [----------] 1 test from InternedStringsTest
2022-11-23T01:57:25.5033769Z [ RUN      ] InternedStringsTest.Basic
2022-11-23T01:57:25.5047198Z [       OK ] InternedStringsTest.Basic (1 ms)
2022-11-23T01:57:25.5047864Z [----------] 1 test from InternedStringsTest (1 ms total)
2022-11-23T01:57:25.5048113Z 
2022-11-23T01:57:25.5048266Z [----------] 1 test from FromQualStringTest
2022-11-23T01:57:25.5048562Z [ RUN      ] FromQualStringTest.Basic
2022-11-23T01:57:25.5048863Z [       OK ] FromQualStringTest.Basic (0 ms)
2022-11-23T01:57:25.5049194Z [----------] 1 test from FromQualStringTest (0 ms total)
2022-11-23T01:57:25.5049343Z 
2022-11-23T01:57:25.5049488Z [----------] 1 test from THNNConvTest
2022-11-23T01:57:25.5049750Z [ RUN      ] THNNConvTest.Basic
2022-11-23T01:57:25.5062822Z [       OK ] THNNConvTest.Basic (1 ms)
2022-11-23T01:57:25.5063380Z [----------] 1 test from THNNConvTest (1 ms total)
2022-11-23T01:57:25.5063641Z 
2022-11-23T01:57:25.5063816Z [----------] 1 test from ATenNativeBatchNormTest
2022-11-23T01:57:25.5064132Z [ RUN      ] ATenNativeBatchNormTest.Basic
2022-11-23T01:57:25.5073464Z [       OK ] ATenNativeBatchNormTest.Basic (1 ms)
2022-11-23T01:57:25.5073908Z [----------] 1 test from ATenNativeBatchNormTest (1 ms total)
2022-11-23T01:57:25.5074173Z 
2022-11-23T01:57:25.5074454Z [----------] 2 tests from CustomFusionTest
2022-11-23T01:57:25.5074751Z [ RUN      ] CustomFusionTest.Basic
2022-11-23T01:57:25.5075101Z [       OK ] CustomFusionTest.Basic (0 ms)
2022-11-23T01:57:25.5075407Z [ RUN      ] CustomFusionTest.NestedBlocks
2022-11-23T01:57:25.5076703Z [       OK ] CustomFusionTest.NestedBlocks (0 ms)
2022-11-23T01:57:25.5077159Z [----------] 2 tests from CustomFusionTest (0 ms total)
2022-11-23T01:57:25.5077330Z 
2022-11-23T01:57:25.5077469Z [----------] 1 test from ControlFlowTest
2022-11-23T01:57:25.5077747Z [ RUN      ] ControlFlowTest.Basic
2022-11-23T01:57:25.5083542Z [       OK ] ControlFlowTest.Basic (0 ms)
2022-11-23T01:57:25.5084234Z [----------] 1 test from ControlFlowTest (0 ms total)
2022-11-23T01:57:25.5084674Z 
2022-11-23T01:57:25.5084924Z [----------] 1 test from ProtoTest
2022-11-23T01:57:25.5085330Z [ RUN      ] ProtoTest.Basic
2022-11-23T01:57:25.5085808Z [       OK ] ProtoTest.Basic (0 ms)
2022-11-23T01:57:25.5086336Z [----------] 1 test from ProtoTest (0 ms total)
2022-11-23T01:57:25.5086517Z 
2022-11-23T01:57:25.5086679Z [----------] 9 tests from SchemaParserTest
2022-11-23T01:57:25.5087050Z [ RUN      ] SchemaParserTest.NestedArrays
2022-11-23T01:57:25.5087496Z [       OK ] SchemaParserTest.NestedArrays (0 ms)
2022-11-23T01:57:25.5087843Z [ RUN      ] SchemaParserTest.OutVariant
2022-11-23T01:57:25.5088211Z [       OK ] SchemaParserTest.OutVariant (0 ms)
2022-11-23T01:57:25.5088554Z [ RUN      ] SchemaParserTest.NamedReturns
2022-11-23T01:57:25.5088880Z [       OK ] SchemaParserTest.NamedReturns (0 ms)
2022-11-23T01:57:25.5089183Z [ RUN      ] SchemaParserTest.Futures
2022-11-23T01:57:25.5089596Z [       OK ] SchemaParserTest.Futures (0 ms)
2022-11-23T01:57:25.5089927Z [ RUN      ] SchemaParserTest.AnnotatedAliasSets
2022-11-23T01:57:25.5090280Z [       OK ] SchemaParserTest.AnnotatedAliasSets (0 ms)
2022-11-23T01:57:25.5090738Z [ RUN      ] SchemaParserTest.TensorListAnnotatedAliasSets
2022-11-23T01:57:25.5091202Z [       OK ] SchemaParserTest.TensorListAnnotatedAliasSets (0 ms)
2022-11-23T01:57:25.5091657Z [ RUN      ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet
2022-11-23T01:57:25.5092221Z [       OK ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet (0 ms)
2022-11-23T01:57:25.5092651Z [ RUN      ] SchemaParserTest.BeforeAfterSets
2022-11-23T01:57:25.5092998Z [       OK ] SchemaParserTest.BeforeAfterSets (0 ms)
2022-11-23T01:57:25.5093338Z [ RUN      ] SchemaParserTest.BeforeAfterSets2
2022-11-23T01:57:25.5093669Z [       OK ] SchemaParserTest.BeforeAfterSets2 (0 ms)
2022-11-23T01:57:25.5094023Z [----------] 9 tests from SchemaParserTest (0 ms total)
2022-11-23T01:57:25.5094185Z 
2022-11-23T01:57:25.5094355Z [----------] 2 tests from TopologicalIndexTest
2022-11-23T01:57:25.5094658Z [ RUN      ] TopologicalIndexTest.Basic
2022-11-23T01:57:25.5094955Z [       OK ] TopologicalIndexTest.Basic (0 ms)
2022-11-23T01:57:25.5095267Z [ RUN      ] TopologicalIndexTest.Reindex
2022-11-23T01:57:25.5095599Z [       OK ] TopologicalIndexTest.Reindex (0 ms)
2022-11-23T01:57:25.5095932Z [----------] 2 tests from TopologicalIndexTest (0 ms total)
2022-11-23T01:57:25.5096105Z 
2022-11-23T01:57:25.5096267Z [----------] 7 tests from RecordFunctionTest
2022-11-23T01:57:25.5096807Z [ RUN      ] RecordFunctionTest.TracedTestInputsOutputs
2022-11-23T01:57:25.5098775Z [       OK ] RecordFunctionTest.TracedTestInputsOutputs (0 ms)
2022-11-23T01:57:25.5099221Z [ RUN      ] RecordFunctionTest.SampledCallbacks
2022-11-23T01:57:25.5158576Z [       OK ] RecordFunctionTest.SampledCallbacks (5 ms)
2022-11-23T01:57:25.5158951Z [ RUN      ] RecordFunctionTest.RecordFunctionGuard
2022-11-23T01:57:25.5159373Z [       OK ] RecordFunctionTest.RecordFunctionGuard (0 ms)
2022-11-23T01:57:25.5159852Z [ RUN      ] RecordFunctionTest.Callbacks
2022-11-23T01:57:25.5162353Z [       OK ] RecordFunctionTest.Callbacks (0 ms)
2022-11-23T01:57:25.5162941Z [ RUN      ] RecordFunctionTest.ShouldRun
2022-11-23T01:57:25.5163438Z [       OK ] RecordFunctionTest.ShouldRun (0 ms)
2022-11-23T01:57:25.5163978Z [ RUN      ] RecordFunctionTest.Basic
2022-11-23T01:57:25.5164553Z [       OK ] RecordFunctionTest.Basic (0 ms)
2022-11-23T01:57:25.5164941Z [ RUN      ] RecordFunctionTest.OperatorNameOverload
2022-11-23T01:57:25.5165309Z [       OK ] RecordFunctionTest.OperatorNameOverload (0 ms)
2022-11-23T01:57:25.5165685Z [----------] 7 tests from RecordFunctionTest (7 ms total)
2022-11-23T01:57:25.5165855Z 
2022-11-23T01:57:25.5166039Z [----------] 1 test from ThreadLocalDebugInfoTest
2022-11-23T01:57:25.5166343Z [ RUN      ] ThreadLocalDebugInfoTest.Basic
2022-11-23T01:57:25.5167969Z [       OK ] ThreadLocalDebugInfoTest.Basic (0 ms)
2022-11-23T01:57:25.5168641Z [----------] 1 test from ThreadLocalDebugInfoTest (0 ms total)
2022-11-23T01:57:25.5168949Z 
2022-11-23T01:57:25.5169235Z [----------] 1 test from TestSymIntArrayRef
2022-11-23T01:57:25.5169802Z [ RUN      ] TestSymIntArrayRef.BasicConversion
2022-11-23T01:57:25.5170284Z [       OK ] TestSymIntArrayRef.BasicConversion (0 ms)
2022-11-23T01:57:25.5170640Z [----------] 1 test from TestSymIntArrayRef (0 ms total)
2022-11-23T01:57:25.5170799Z 
2022-11-23T01:57:25.5171003Z [----------] 4 tests from TestSymInt
2022-11-23T01:57:25.5171424Z [ RUN      ] TestSymInt.NarrowCopyWithSymbolicInt
2022-11-23T01:57:25.5172006Z [       OK ] TestSymInt.NarrowCopyWithSymbolicInt (0 ms)
2022-11-23T01:57:25.5172333Z [ RUN      ] TestSymInt.NarrowCopy
2022-11-23T01:57:25.5172605Z [       OK ] TestSymInt.NarrowCopy (0 ms)
2022-11-23T01:57:25.5172897Z [ RUN      ] TestSymInt.AddSymbolicInt
2022-11-23T01:57:25.5173202Z [       OK ] TestSymInt.AddSymbolicInt (0 ms)
2022-11-23T01:57:25.5173524Z [ RUN      ] TestSymInt.TestSymIntToSymNodeDispatch
2022-11-23T01:57:25.5173902Z [       OK ] TestSymInt.TestSymIntToSymNodeDispatch (0 ms)
2022-11-23T01:57:25.5174251Z [----------] 4 tests from TestSymInt (0 ms total)
2022-11-23T01:57:25.5174449Z 
2022-11-23T01:57:25.5174611Z [----------] 1 test from FallbackGraphsTest
2022-11-23T01:57:25.5174889Z [ RUN      ] FallbackGraphsTest.Basic
2022-11-23T01:57:25.5180047Z [       OK ] FallbackGraphsTest.Basic (0 ms)
2022-11-23T01:57:25.5180717Z [----------] 1 test from FallbackGraphsTest (0 ms total)
2022-11-23T01:57:25.5181037Z 
2022-11-23T01:57:25.5181256Z [----------] 1 test from NoneSchemaMatchTest
2022-11-23T01:57:25.5181666Z [ RUN      ] NoneSchemaMatchTest.Basic
2022-11-23T01:57:25.5182229Z [       OK ] NoneSchemaMatchTest.Basic (0 ms)
2022-11-23T01:57:25.5182637Z [----------] 1 test from NoneSchemaMatchTest (0 ms total)
2022-11-23T01:57:25.5182790Z 
2022-11-23T01:57:25.5182957Z [----------] 1 test from PassManagementTest
2022-11-23T01:57:25.5183252Z [ RUN      ] PassManagementTest.Basic
2022-11-23T01:57:25.5183557Z [       OK ] PassManagementTest.Basic (0 ms)
2022-11-23T01:57:25.5183882Z [----------] 1 test from PassManagementTest (0 ms total)
2022-11-23T01:57:25.5184043Z 
2022-11-23T01:57:25.5184194Z [----------] 5 tests from LoopPeelerTest
2022-11-23T01:57:25.5184514Z [ RUN      ] LoopPeelerTest.NoInductionVariableUse
2022-11-23T01:57:25.5185420Z [       OK ] LoopPeelerTest.NoInductionVariableUse (0 ms)
2022-11-23T01:57:25.5186057Z [ RUN      ] LoopPeelerTest.YesInductionVariableUse
2022-11-23T01:57:25.5188599Z [       OK ] LoopPeelerTest.YesInductionVariableUse (0 ms)
2022-11-23T01:57:25.5189234Z [ RUN      ] LoopPeelerTest.LoopWithTerminationCondition
2022-11-23T01:57:25.5193217Z [       OK ] LoopPeelerTest.LoopWithTerminationCondition (0 ms)
2022-11-23T01:57:25.5193752Z [ RUN      ] LoopPeelerTest.SimpleNestedLoops
2022-11-23T01:57:25.5199023Z [       OK ] LoopPeelerTest.SimpleNestedLoops (0 ms)
2022-11-23T01:57:25.5199608Z [ RUN      ] LoopPeelerTest.SimpleNestedLoops2
2022-11-23T01:57:25.5207025Z [       OK ] LoopPeelerTest.SimpleNestedLoops2 (0 ms)
2022-11-23T01:57:25.5207653Z [----------] 5 tests from LoopPeelerTest (2 ms total)
2022-11-23T01:57:25.5207816Z 
2022-11-23T01:57:25.5207957Z [----------] 1 test from JitTracing
2022-11-23T01:57:25.5208201Z [ RUN      ] JitTracing.Basic
2022-11-23T01:57:25.5486415Z [       OK ] JitTracing.Basic (27 ms)
2022-11-23T01:57:25.5486801Z [----------] 1 test from JitTracing (27 ms total)
2022-11-23T01:57:25.5486962Z 
2022-11-23T01:57:25.5487182Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest
2022-11-23T01:57:25.5487569Z [ RUN      ] InsertAndEliminateRedundantGuardsTest.Basic
2022-11-23T01:57:25.5492674Z [       OK ] InsertAndEliminateRedundantGuardsTest.Basic (0 ms)
2022-11-23T01:57:25.5493372Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest (0 ms total)
2022-11-23T01:57:25.5493593Z 
2022-11-23T01:57:25.5493752Z [----------] 1 test from InsertBailOutsTest
2022-11-23T01:57:25.5494033Z [ RUN      ] InsertBailOutsTest.Basic
2022-11-23T01:57:25.5503204Z [       OK ] InsertBailOutsTest.Basic (0 ms)
2022-11-23T01:57:25.5503672Z [----------] 1 test from InsertBailOutsTest (1 ms total)
2022-11-23T01:57:25.5504059Z 
2022-11-23T01:57:25.5504221Z [----------] 2 tests from ProfilerTest
2022-11-23T01:57:25.5504480Z [ RUN      ] ProfilerTest.Basic
2022-11-23T01:57:25.5759659Z [       OK ] ProfilerTest.Basic (25 ms)
2022-11-23T01:57:25.5760073Z [ RUN      ] ProfilerTest.OptionalProfiling
2022-11-23T01:57:25.5760660Z [       OK ] ProfilerTest.OptionalProfiling (0 ms)
2022-11-23T01:57:25.5761209Z [----------] 2 tests from ProfilerTest (25 ms total)
2022-11-23T01:57:25.5761371Z 
2022-11-23T01:57:25.5761522Z [----------] 2 tests from CallStackTest
2022-11-23T01:57:25.5761984Z [ RUN      ] CallStackTest.Basic
2022-11-23T01:57:25.5766777Z [       OK ] CallStackTest.Basic (0 ms)
2022-11-23T01:57:25.5767298Z [ RUN      ] CallStackTest.Caching
2022-11-23T01:57:25.5770477Z [       OK ] CallStackTest.Caching (0 ms)
2022-11-23T01:57:25.5770996Z [----------] 2 tests from CallStackTest (1 ms total)
2022-11-23T01:57:25.5771299Z 
2022-11-23T01:57:25.5771620Z [----------] 2 tests from InlinedCallStackTest
2022-11-23T01:57:25.5771986Z [ RUN      ] InlinedCallStackTest.BlockAnnotation
2022-11-23T01:57:25.5777535Z [       OK ] InlinedCallStackTest.BlockAnnotation (0 ms)
2022-11-23T01:57:25.5778133Z [ RUN      ] InlinedCallStackTest.SelfCallMethods
2022-11-23T01:57:25.5786560Z [       OK ] InlinedCallStackTest.SelfCallMethods (0 ms)
2022-11-23T01:57:25.5787252Z [----------] 2 tests from InlinedCallStackTest (1 ms total)
2022-11-23T01:57:25.5787459Z 
2022-11-23T01:57:25.5787631Z [----------] 1 test from AutogradSymbolsTest
2022-11-23T01:57:25.5787913Z [ RUN      ] AutogradSymbolsTest.Basic
2022-11-23T01:57:25.5788262Z [       OK ] AutogradSymbolsTest.Basic (0 ms)
2022-11-23T01:57:25.5788662Z [----------] 1 test from AutogradSymbolsTest (0 ms total)
2022-11-23T01:57:25.5788814Z 
2022-11-23T01:57:25.5789042Z [----------] 1 test from DefaultArgTypeHintingTest
2022-11-23T01:57:25.5789595Z [ RUN      ] DefaultArgTypeHintingTest.Basic
2022-11-23T01:57:25.5790198Z [       OK ] DefaultArgTypeHintingTest.Basic (0 ms)
2022-11-23T01:57:25.5790556Z [----------] 1 test from DefaultArgTypeHintingTest (0 ms total)
2022-11-23T01:57:25.5790732Z 
2022-11-23T01:57:25.5790875Z [----------] 5 tests from FuturesTest
2022-11-23T01:57:25.5791133Z [ RUN      ] FuturesTest.Basic
2022-11-23T01:57:25.5791397Z [       OK ] FuturesTest.Basic (0 ms)
2022-11-23T01:57:25.5791641Z [ RUN      ] FuturesTest.Error
2022-11-23T01:57:25.5802199Z [       OK ] FuturesTest.Error (1 ms)
2022-11-23T01:57:25.5802646Z [ RUN      ] FuturesTest.Then
2022-11-23T01:57:25.5803141Z [       OK ] FuturesTest.Then (0 ms)
2022-11-23T01:57:25.5803449Z [ RUN      ] FuturesTest.CollectAll
2022-11-23T01:57:25.5803740Z [       OK ] FuturesTest.CollectAll (0 ms)
2022-11-23T01:57:25.5804020Z [ RUN      ] FuturesTest.CollectAny
2022-11-23T01:57:25.5804292Z [       OK ] FuturesTest.CollectAny (0 ms)
2022-11-23T01:57:25.5804600Z [----------] 5 tests from FuturesTest (1 ms total)
2022-11-23T01:57:25.5804825Z 
2022-11-23T01:57:25.5805052Z [----------] 1 test from TLSFutureCallbacksTest
2022-11-23T01:57:25.5805350Z [ RUN      ] TLSFutureCallbacksTest.Basic
2022-11-23T01:57:25.5805815Z [       OK ] TLSFutureCallbacksTest.Basic (0 ms)
2022-11-23T01:57:25.5806324Z [----------] 1 test from TLSFutureCallbacksTest (0 ms total)
2022-11-23T01:57:25.5806566Z 
2022-11-23T01:57:25.5806857Z [----------] 1 test from ProfilerDisableInCallbackTest
2022-11-23T01:57:25.5807371Z [ RUN      ] ProfilerDisableInCallbackTest.Basic
2022-11-23T01:57:25.5808367Z [       OK ] ProfilerDisableInCallbackTest.Basic (0 ms)
2022-11-23T01:57:25.5809166Z [----------] 1 test from ProfilerDisableInCallbackTest (0 ms total)
2022-11-23T01:57:25.5809483Z 
2022-11-23T01:57:25.5809708Z [----------] 2 tests from RecordDebugHandles
2022-11-23T01:57:25.5810141Z [ RUN      ] RecordDebugHandles.Basic
2022-11-23T01:57:25.5811514Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:57:25.5814163Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:57:25.5814979Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:57:25.5815691Z [       OK ] RecordDebugHandles.Basic (0 ms)
2022-11-23T01:57:25.5816211Z [ RUN      ] RecordDebugHandles.ScopedCallbacks
2022-11-23T01:57:25.5817150Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:57:25.5821928Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:57:25.5822699Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:57:25.5823418Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:57:25.5827682Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:57:25.5828437Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:57:25.5829167Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:57:25.5835375Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:57:25.5836113Z STAGE:2022-11-23 01:57:25 18966:18966 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:57:25.5836791Z [       OK ] RecordDebugHandles.ScopedCallbacks (2 ms)
2022-11-23T01:57:25.5837426Z [----------] 2 tests from RecordDebugHandles (2 ms total)
2022-11-23T01:57:25.5837707Z 
2022-11-23T01:57:25.5837966Z [----------] 1 test from IValueKWargsTest
2022-11-23T01:57:25.5838467Z [ RUN      ] IValueKWargsTest.Basic
2022-11-23T01:57:25.5842450Z [       OK ] IValueKWargsTest.Basic (0 ms)
2022-11-23T01:57:25.5843022Z [----------] 1 test from IValueKWargsTest (0 ms total)
2022-11-23T01:57:25.5843278Z 
2022-11-23T01:57:25.5843539Z [----------] 1 test from ComputeFlopsTest
2022-11-23T01:57:25.5844005Z [ RUN      ] ComputeFlopsTest.Basic
2022-11-23T01:57:25.5844582Z [W util.cpp:501] Warning: Failed to compute flops for op aten::conv2d because both input and weight must be size 4. (function computeFlops)
2022-11-23T01:57:25.5845301Z [W util.cpp:516] Warning: Failed to compute flops for op aten::conv2d because stride must be size 2 and cannot be 0. (function computeFlops)
2022-11-23T01:57:25.5846112Z [W util.cpp:472] Warning: Calculating flops for aten::conv2d requires groups, padding, stride, dilation, input_size, and weight_size in saved arguments. (function computeFlops)
2022-11-23T01:57:25.5846973Z [W util.cpp:545] Warning: Calculating flops for aten::mm requires mat1_size and mat2_size in saved arguments. (function computeFlops)
2022-11-23T01:57:25.5847689Z [       OK ] ComputeFlopsTest.Basic (0 ms)
2022-11-23T01:57:25.5848299Z [----------] 1 test from ComputeFlopsTest (0 ms total)
2022-11-23T01:57:25.5848590Z 
2022-11-23T01:57:25.5848859Z [----------] 1 test from TestConstant
2022-11-23T01:57:25.5849358Z [ RUN      ] TestConstant.TensorGrad
2022-11-23T01:57:25.5849921Z [       OK ] TestConstant.TensorGrad (0 ms)
2022-11-23T01:57:25.5850502Z [----------] 1 test from TestConstant (0 ms total)
2022-11-23T01:57:25.5850777Z 
2022-11-23T01:57:25.5851038Z [----------] 1 test from TestMutation
2022-11-23T01:57:25.5851640Z [ RUN      ] TestMutation.Basic
2022-11-23T01:57:25.5852119Z [       OK ] TestMutation.Basic (0 ms)
2022-11-23T01:57:25.5852680Z [----------] 1 test from TestMutation (0 ms total)
2022-11-23T01:57:25.5852951Z 
2022-11-23T01:57:25.5853326Z [----------] 1 test from TestInplaceToFunctionalActivation
2022-11-23T01:57:25.5854026Z [ RUN      ] TestInplaceToFunctionalActivation.Basic
2022-11-23T01:57:25.5854754Z [       OK ] TestInplaceToFunctionalActivation.Basic (0 ms)
2022-11-23T01:57:25.5855534Z [----------] 1 test from TestInplaceToFunctionalActivation (0 ms total)
2022-11-23T01:57:25.5855957Z 
2022-11-23T01:57:25.5856259Z [----------] 1 test from TestRegisterShapeOp
2022-11-23T01:57:25.5857005Z [ RUN      ] TestRegisterShapeOp.Basic
2022-11-23T01:57:25.7052039Z [       OK ] TestRegisterShapeOp.Basic (120 ms)
2022-11-23T01:57:25.7052646Z [----------] 1 test from TestRegisterShapeOp (120 ms total)
2022-11-23T01:57:25.7052900Z 
2022-11-23T01:57:25.7053213Z [----------] 1 test from TestFunctionalToInplaceActivation
2022-11-23T01:57:25.7053784Z [ RUN      ] TestFunctionalToInplaceActivation.Basic
2022-11-23T01:57:25.7054401Z [       OK ] TestFunctionalToInplaceActivation.Basic (0 ms)
2022-11-23T01:57:25.7055103Z [----------] 1 test from TestFunctionalToInplaceActivation (0 ms total)
2022-11-23T01:57:25.7055408Z 
2022-11-23T01:57:25.7055697Z [----------] 2 tests from TestFunctionExecutor
2022-11-23T01:57:25.7056231Z [ RUN      ] TestFunctionExecutor.SimpleExecutorTest
2022-11-23T01:57:25.7057543Z [       OK ] TestFunctionExecutor.SimpleExecutorTest (0 ms)
2022-11-23T01:57:25.7058223Z [ RUN      ] TestFunctionExecutor.RunDecompositionTest
2022-11-23T01:57:25.7075799Z [       OK ] TestFunctionExecutor.RunDecompositionTest (1 ms)
2022-11-23T01:57:25.7076439Z [----------] 2 tests from TestFunctionExecutor (2 ms total)
2022-11-23T01:57:25.7076684Z 
2022-11-23T01:57:25.7076921Z [----------] 1 test from TestShapeGraphLinting
2022-11-23T01:57:25.7077420Z [ RUN      ] TestShapeGraphLinting.Basic
2022-11-23T01:57:25.7083943Z [       OK ] TestShapeGraphLinting.Basic (0 ms)
2022-11-23T01:57:25.7084505Z [----------] 1 test from TestShapeGraphLinting (0 ms total)
2022-11-23T01:57:25.7084763Z 
2022-11-23T01:57:25.7085004Z [----------] 1 test from Composed
2022-11-23T01:57:25.7085434Z [ RUN      ] Composed.ComposedOp
2022-11-23T01:57:26.0125030Z [       OK ] Composed.ComposedOp (303 ms)
2022-11-23T01:57:26.0125408Z [----------] 1 test from Composed (303 ms total)
2022-11-23T01:57:26.0125560Z 
2022-11-23T01:57:26.0125737Z [----------] 1 test from ConstantPropagation
2022-11-23T01:57:26.0126107Z [ RUN      ] ConstantPropagation.CustomClassesCanBePropagated
2022-11-23T01:57:26.0304664Z [       OK ] ConstantPropagation.CustomClassesCanBePropagated (17 ms)
2022-11-23T01:57:26.0305372Z [----------] 1 test from ConstantPropagation (18 ms total)
2022-11-23T01:57:26.0305642Z 
2022-11-23T01:57:26.0305957Z [----------] 19 tests from MobileTypeParserTest
2022-11-23T01:57:26.0306517Z [ RUN      ] MobileTypeParserTest.Int
2022-11-23T01:57:26.0307076Z [       OK ] MobileTypeParserTest.Int (0 ms)
2022-11-23T01:57:26.0307518Z [ RUN      ] MobileTypeParserTest.NestedContainersAnnotationStr
2022-11-23T01:57:26.0307981Z [       OK ] MobileTypeParserTest.NestedContainersAnnotationStr (0 ms)
2022-11-23T01:57:26.0308378Z [ RUN      ] MobileTypeParserTest.TorchBindClass
2022-11-23T01:57:26.0308724Z [       OK ] MobileTypeParserTest.TorchBindClass (0 ms)
2022-11-23T01:57:26.0309096Z [ RUN      ] MobileTypeParserTest.ListOfTorchBindClass
2022-11-23T01:57:26.0309486Z [       OK ] MobileTypeParserTest.ListOfTorchBindClass (0 ms)
2022-11-23T01:57:26.0310156Z [ RUN      ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces
2022-11-23T01:57:26.0310684Z [       OK ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces (0 ms)
2022-11-23T01:57:26.0311107Z [ RUN      ] MobileTypeParserTest.NamedTuple
2022-11-23T01:57:26.0311448Z [       OK ] MobileTypeParserTest.NamedTuple (0 ms)
2022-11-23T01:57:26.0311824Z [ RUN      ] MobileTypeParserTest.DictNestedNamedTupleTypeList
2022-11-23T01:57:26.0312274Z [       OK ] MobileTypeParserTest.DictNestedNamedTupleTypeList (0 ms)
2022-11-23T01:57:26.0312739Z [ RUN      ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList
2022-11-23T01:57:26.0313300Z [       OK ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList (0 ms)
2022-11-23T01:57:26.0313750Z [ RUN      ] MobileTypeParserTest.NamedTupleNestedNamedTuple
2022-11-23T01:57:26.0314184Z [       OK ] MobileTypeParserTest.NamedTupleNestedNamedTuple (0 ms)
2022-11-23T01:57:26.0314627Z [ RUN      ] MobileTypeParserTest.Empty
2022-11-23T01:57:26.0340048Z [       OK ] MobileTypeParserTest.Empty (3 ms)
2022-11-23T01:57:26.0340434Z [ RUN      ] MobileTypeParserTest.TypoRaises
2022-11-23T01:57:26.0377843Z [       OK ] MobileTypeParserTest.TypoRaises (3 ms)
2022-11-23T01:57:26.0378205Z [ RUN      ] MobileTypeParserTest.MismatchBracketRaises
2022-11-23T01:57:26.0423135Z [       OK ] MobileTypeParserTest.MismatchBracketRaises (4 ms)
2022-11-23T01:57:26.0423664Z [ RUN      ] MobileTypeParserTest.MismatchBracketRaises2
2022-11-23T01:57:26.0460247Z [       OK ] MobileTypeParserTest.MismatchBracketRaises2 (3 ms)
2022-11-23T01:57:26.0460651Z [ RUN      ] MobileTypeParserTest.DictWithoutValueRaises
2022-11-23T01:57:26.0492291Z [       OK ] MobileTypeParserTest.DictWithoutValueRaises (3 ms)
2022-11-23T01:57:26.0492719Z [ RUN      ] MobileTypeParserTest.ListArgCountMismatchRaises
2022-11-23T01:57:26.0530336Z [       OK ] MobileTypeParserTest.ListArgCountMismatchRaises (3 ms)
2022-11-23T01:57:26.0530758Z [ RUN      ] MobileTypeParserTest.DictArgCountMismatchRaises
2022-11-23T01:57:26.0562817Z [       OK ] MobileTypeParserTest.DictArgCountMismatchRaises (3 ms)
2022-11-23T01:57:26.0563363Z [ RUN      ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises
2022-11-23T01:57:26.0584282Z [       OK ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises (2 ms)
2022-11-23T01:57:26.0584890Z [ RUN      ] MobileTypeParserTest.NonIdentifierRaises
2022-11-23T01:57:26.0605779Z [       OK ] MobileTypeParserTest.NonIdentifierRaises (2 ms)
2022-11-23T01:57:26.0606431Z [ RUN      ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises
2022-11-23T01:57:26.0649262Z [       OK ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises (4 ms)
2022-11-23T01:57:26.0650091Z [----------] 19 tests from MobileTypeParserTest (34 ms total)
2022-11-23T01:57:26.0650308Z 
2022-11-23T01:57:26.0650470Z [----------] 13 tests from ModuleAPITest
2022-11-23T01:57:26.0650767Z [ RUN      ] ModuleAPITest.MethodRunAsync
2022-11-23T01:57:26.0675759Z [       OK ] ModuleAPITest.MethodRunAsync (2 ms)
2022-11-23T01:57:26.0676208Z [ RUN      ] ModuleAPITest.Clone
2022-11-23T01:57:26.0676574Z [       OK ] ModuleAPITest.Clone (0 ms)
2022-11-23T01:57:26.0676999Z [ RUN      ] ModuleAPITest.CloneWithModuleInterface
2022-11-23T01:57:26.0683979Z [       OK ] ModuleAPITest.CloneWithModuleInterface (0 ms)
2022-11-23T01:57:26.0684457Z [ RUN      ] ModuleAPITest.Copy
2022-11-23T01:57:26.0684848Z [       OK ] ModuleAPITest.Copy (0 ms)
2022-11-23T01:57:26.0685185Z [ RUN      ] ModuleAPITest.DeepCopy
2022-11-23T01:57:26.0685671Z [       OK ] ModuleAPITest.DeepCopy (0 ms)
2022-11-23T01:57:26.0686247Z [ RUN      ] ModuleAPITest.DeepCopyString
2022-11-23T01:57:26.0687087Z [       OK ] ModuleAPITest.DeepCopyString (0 ms)
2022-11-23T01:57:26.0687646Z [ RUN      ] ModuleAPITest.DeepCopyEnum
2022-11-23T01:57:26.0688140Z [       OK ] ModuleAPITest.DeepCopyEnum (0 ms)
2022-11-23T01:57:26.0688486Z [ RUN      ] ModuleAPITest.DeepCopyPreservesAliasing
2022-11-23T01:57:26.0688860Z [       OK ] ModuleAPITest.DeepCopyPreservesAliasing (0 ms)
2022-11-23T01:57:26.0689189Z [ RUN      ] ModuleAPITest.Constants
2022-11-23T01:57:26.0689483Z [       OK ] ModuleAPITest.Constants (0 ms)
2022-11-23T01:57:26.0689767Z [ RUN      ] ModuleAPITest.Parameters
2022-11-23T01:57:26.0690139Z [       OK ] ModuleAPITest.Parameters (0 ms)
2022-11-23T01:57:26.0690424Z [ RUN      ] ModuleAPITest.Define
2022-11-23T01:57:26.0692157Z [       OK ] ModuleAPITest.Define (0 ms)
2022-11-23T01:57:26.0692467Z [ RUN      ] ModuleAPITest.Freezing
2022-11-23T01:57:26.0720824Z [       OK ] ModuleAPITest.Freezing (2 ms)
2022-11-23T01:57:26.0721165Z [ RUN      ] ModuleAPITest.OfiFreezesTraining
2022-11-23T01:57:26.0748261Z [       OK ] ModuleAPITest.OfiFreezesTraining (2 ms)
2022-11-23T01:57:26.0748820Z [----------] 13 tests from ModuleAPITest (9 ms total)
2022-11-23T01:57:26.0749093Z 
2022-11-23T01:57:26.0749339Z [----------] 6 tests from PeepholeOptimizeTest
2022-11-23T01:57:26.0749717Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot
2022-11-23T01:57:26.0750152Z [       OK ] PeepholeOptimizeTest.IsAndIsNot (0 ms)
2022-11-23T01:57:26.0750670Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot2
2022-11-23T01:57:26.0751182Z [       OK ] PeepholeOptimizeTest.IsAndIsNot2 (0 ms)
2022-11-23T01:57:26.0751578Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot3
2022-11-23T01:57:26.0752105Z [       OK ] PeepholeOptimizeTest.IsAndIsNot3 (0 ms)
2022-11-23T01:57:26.0752649Z [ RUN      ] PeepholeOptimizeTest.UnwrapOptional
2022-11-23T01:57:26.0753157Z [       OK ] PeepholeOptimizeTest.UnwrapOptional (0 ms)
2022-11-23T01:57:26.0753810Z [ RUN      ] PeepholeOptimizeTest.UnwrapOptional2
2022-11-23T01:57:26.0754531Z [       OK ] PeepholeOptimizeTest.UnwrapOptional2 (0 ms)
2022-11-23T01:57:26.0755174Z [ RUN      ] PeepholeOptimizeTest.AddMMFusion
2022-11-23T01:57:26.0755645Z [       OK ] PeepholeOptimizeTest.AddMMFusion (0 ms)
2022-11-23T01:57:26.0756008Z [----------] 6 tests from PeepholeOptimizeTest (0 ms total)
2022-11-23T01:57:26.0756178Z 
2022-11-23T01:57:26.0756343Z [----------] 5 tests from QualifiedNameTest
2022-11-23T01:57:26.0756656Z [ RUN      ] QualifiedNameTest.PrefixConstruction
2022-11-23T01:57:26.0757021Z [       OK ] QualifiedNameTest.PrefixConstruction (0 ms)
2022-11-23T01:57:26.0757379Z [ RUN      ] QualifiedNameTest.DottedConstruction
2022-11-23T01:57:26.0757743Z [       OK ] QualifiedNameTest.DottedConstruction (0 ms)
2022-11-23T01:57:26.0758074Z [ RUN      ] QualifiedNameTest.BadInputRaises
2022-11-23T01:57:26.0800887Z [       OK ] QualifiedNameTest.BadInputRaises (4 ms)
2022-11-23T01:57:26.0801512Z [ RUN      ] QualifiedNameTest.Equality
2022-11-23T01:57:26.0801919Z [       OK ] QualifiedNameTest.Equality (0 ms)
2022-11-23T01:57:26.0802387Z [ RUN      ] QualifiedNameTest.IsPrefixOf
2022-11-23T01:57:26.0802723Z [       OK ] QualifiedNameTest.IsPrefixOf (0 ms)
2022-11-23T01:57:26.0803066Z [----------] 5 tests from QualifiedNameTest (4 ms total)
2022-11-23T01:57:26.0803236Z 
2022-11-23T01:57:26.0803436Z [----------] 6 tests from SerializationTest
2022-11-23T01:57:26.0803782Z [ RUN      ] SerializationTest.ExtraFilesHookPreference
2022-11-23T01:57:26.0804429Z [W export_module.cpp:586] Warning: An extra files hook attempted to write metadata.json but this is already written in extra files and so will be skipped. This warning will only appear once per process. (function operator())
2022-11-23T01:57:26.0809240Z [       OK ] SerializationTest.ExtraFilesHookPreference (0 ms)
2022-11-23T01:57:26.0809725Z [ RUN      ] SerializationTest.ExtraFileHooksNoSecret
2022-11-23T01:57:26.0810819Z [       OK ] SerializationTest.ExtraFileHooksNoSecret (0 ms)
2022-11-23T01:57:26.0811277Z [ RUN      ] SerializationTest.ExtraFileHooksWithSecret
2022-11-23T01:57:26.0812271Z [       OK ] SerializationTest.ExtraFileHooksWithSecret (0 ms)
2022-11-23T01:57:26.0812929Z [ RUN      ] SerializationTest.TypeTags
2022-11-23T01:57:26.0815930Z [       OK ] SerializationTest.TypeTags (0 ms)
2022-11-23T01:57:26.0816296Z [ RUN      ] SerializationTest.ParentDirNotExist
2022-11-23T01:57:26.0860059Z [       OK ] SerializationTest.ParentDirNotExist (4 ms)
2022-11-23T01:57:26.0860536Z [ RUN      ] SerializationTest.CalculateNecessaryArgsTest
2022-11-23T01:57:26.0860967Z [       OK ] SerializationTest.CalculateNecessaryArgsTest (0 ms)
2022-11-23T01:57:26.0861344Z [----------] 6 tests from SerializationTest (5 ms total)
2022-11-23T01:57:26.0861508Z 
2022-11-23T01:57:26.0861676Z [----------] 3 tests from TestSourceRoundTrip
2022-11-23T01:57:26.0862013Z [ RUN      ] TestSourceRoundTrip.UpsampleNearest2d
2022-11-23T01:57:26.0875231Z [       OK ] TestSourceRoundTrip.UpsampleNearest2d (1 ms)
2022-11-23T01:57:26.0875711Z [ RUN      ] TestSourceRoundTrip.CheckAttrAccess
2022-11-23T01:57:26.0876213Z [       OK ] TestSourceRoundTrip.CheckAttrAccess (0 ms)
2022-11-23T01:57:26.0876574Z [ RUN      ] TestSourceRoundTrip.MethodInvocation
2022-11-23T01:57:26.0925557Z [       OK ] TestSourceRoundTrip.MethodInvocation (4 ms)
2022-11-23T01:57:26.0925937Z [----------] 3 tests from TestSourceRoundTrip (6 ms total)
2022-11-23T01:57:26.0926117Z 
2022-11-23T01:57:26.0926316Z [----------] 2 tests from FunctionSchemaIsAliasingTest
2022-11-23T01:57:26.0926665Z [ RUN      ] FunctionSchemaIsAliasingTest.Basic
2022-11-23T01:57:26.0927004Z [       OK ] FunctionSchemaIsAliasingTest.Basic (0 ms)
2022-11-23T01:57:26.0927380Z [ RUN      ] FunctionSchemaIsAliasingTest.InvalidArgument
2022-11-23T01:57:26.0948311Z [       OK ] FunctionSchemaIsAliasingTest.InvalidArgument (2 ms)
2022-11-23T01:57:26.0948739Z [----------] 2 tests from FunctionSchemaIsAliasingTest (2 ms total)
2022-11-23T01:57:26.0948931Z 
2022-11-23T01:57:26.0949106Z [----------] 2 tests from FunctionSchemaIsMutableTest
2022-11-23T01:57:26.0949448Z [ RUN      ] FunctionSchemaIsMutableTest.Basic
2022-11-23T01:57:26.0949794Z [       OK ] FunctionSchemaIsMutableTest.Basic (0 ms)
2022-11-23T01:57:26.0950148Z [ RUN      ] FunctionSchemaIsMutableTest.InvalidArgument
2022-11-23T01:57:26.0981202Z [       OK ] FunctionSchemaIsMutableTest.InvalidArgument (3 ms)
2022-11-23T01:57:26.0981626Z [----------] 2 tests from FunctionSchemaIsMutableTest (3 ms total)
2022-11-23T01:57:26.0981813Z 
2022-11-23T01:57:26.0981993Z [----------] 5 tests from SchemaInfoIsMutableTest
2022-11-23T01:57:26.0982359Z [ RUN      ] SchemaInfoIsMutableTest.Basic
2022-11-23T01:57:26.0983324Z [       OK ] SchemaInfoIsMutableTest.Basic (0 ms)
2022-11-23T01:57:26.0983679Z [ RUN      ] SchemaInfoIsMutableTest.InvalidArgument
2022-11-23T01:57:26.1015348Z [       OK ] SchemaInfoIsMutableTest.InvalidArgument (3 ms)
2022-11-23T01:57:26.1015885Z [ RUN      ] SchemaInfoIsMutableTest.AliasingInputs
2022-11-23T01:57:26.1016754Z [       OK ] SchemaInfoIsMutableTest.AliasingInputs (0 ms)
2022-11-23T01:57:26.1017292Z [ RUN      ] SchemaInfoIsMutableTest.InstanceNorm
2022-11-23T01:57:26.1017873Z [       OK ] SchemaInfoIsMutableTest.InstanceNorm (0 ms)
2022-11-23T01:57:26.1019849Z [ RUN      ] SchemaInfoIsMutableTest.BatchNorm
2022-11-23T01:57:26.1020228Z [       OK ] SchemaInfoIsMutableTest.BatchNorm (0 ms)
2022-11-23T01:57:26.1020600Z [----------] 5 tests from SchemaInfoIsMutableTest (3 ms total)
2022-11-23T01:57:26.1020775Z 
2022-11-23T01:57:26.1020965Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest
2022-11-23T01:57:26.1021335Z [ RUN      ] SchemaInfoIsNonDeterministicTest.Basic
2022-11-23T01:57:26.1021712Z [       OK ] SchemaInfoIsNonDeterministicTest.Basic (0 ms)
2022-11-23T01:57:26.1022076Z [ RUN      ] SchemaInfoIsNonDeterministicTest.Dropout
2022-11-23T01:57:26.1022533Z [       OK ] SchemaInfoIsNonDeterministicTest.Dropout (0 ms)
2022-11-23T01:57:26.1022944Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest (0 ms total)
2022-11-23T01:57:26.1023137Z 
2022-11-23T01:57:26.1023322Z [----------] 3 tests from FunctionSchemaMayAliasTest
2022-11-23T01:57:26.1023639Z [ RUN      ] FunctionSchemaMayAliasTest.Basic
2022-11-23T01:57:26.1023979Z [       OK ] FunctionSchemaMayAliasTest.Basic (0 ms)
2022-11-23T01:57:26.1024348Z [ RUN      ] FunctionSchemaMayAliasTest.InvalidArgument
2022-11-23T01:57:26.1047660Z [       OK ] FunctionSchemaMayAliasTest.InvalidArgument (2 ms)
2022-11-23T01:57:26.1048411Z [ RUN      ] FunctionSchemaMayAliasTest.Wildcard
2022-11-23T01:57:26.1049110Z [       OK ] FunctionSchemaMayAliasTest.Wildcard (0 ms)
2022-11-23T01:57:26.1049825Z [----------] 3 tests from FunctionSchemaMayAliasTest (2 ms total)
2022-11-23T01:57:26.1050130Z 
2022-11-23T01:57:26.1050398Z [----------] 7 tests from SchemaInfoMayAliasTest
2022-11-23T01:57:26.1050894Z [ RUN      ] SchemaInfoMayAliasTest.AliasingInputs
2022-11-23T01:57:26.1051496Z [       OK ] SchemaInfoMayAliasTest.AliasingInputs (0 ms)
2022-11-23T01:57:26.1052173Z [ RUN      ] SchemaInfoMayAliasTest.AliasingOutputs
2022-11-23T01:57:26.1052986Z [       OK ] SchemaInfoMayAliasTest.AliasingOutputs (0 ms)
2022-11-23T01:57:26.1053842Z [ RUN      ] SchemaInfoMayAliasTest.AliasingInputOutput
2022-11-23T01:57:26.1055032Z [       OK ] SchemaInfoMayAliasTest.AliasingInputOutput (0 ms)
2022-11-23T01:57:26.1055908Z [ RUN      ] SchemaInfoMayAliasTest.MultipleWildcardInputs
2022-11-23T01:57:26.1056993Z [       OK ] SchemaInfoMayAliasTest.MultipleWildcardInputs (0 ms)
2022-11-23T01:57:26.1057951Z [ RUN      ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs
2022-11-23T01:57:26.1058920Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator())
2022-11-23T01:57:26.1059995Z [       OK ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs (0 ms)
2022-11-23T01:57:26.1060969Z [ RUN      ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs
2022-11-23T01:57:26.1061920Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator())
2022-11-23T01:57:26.1063014Z [       OK ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs (0 ms)
2022-11-23T01:57:26.1063900Z [ RUN      ] SchemaInfoMayAliasTest.MismatchingTypes
2022-11-23T01:57:26.1064748Z [       OK ] SchemaInfoMayAliasTest.MismatchingTypes (0 ms)
2022-11-23T01:57:26.1065599Z [----------] 7 tests from SchemaInfoMayAliasTest (0 ms total)
2022-11-23T01:57:26.1065976Z 
2022-11-23T01:57:26.1066415Z [----------] 3 tests from FunctionSchemaMayContainAliasTest
2022-11-23T01:57:26.1067241Z [ RUN      ] FunctionSchemaMayContainAliasTest.Basic
2022-11-23T01:57:26.1068080Z [       OK ] FunctionSchemaMayContainAliasTest.Basic (0 ms)
2022-11-23T01:57:26.1068916Z [ RUN      ] FunctionSchemaMayContainAliasTest.Wildcard
2022-11-23T01:57:26.1069994Z [       OK ] FunctionSchemaMayContainAliasTest.Wildcard (0 ms)
2022-11-23T01:57:26.1071024Z [ RUN      ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers
2022-11-23T01:57:26.1072161Z [       OK ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers (0 ms)
2022-11-23T01:57:26.1073196Z [----------] 3 tests from FunctionSchemaMayContainAliasTest (0 ms total)
2022-11-23T01:57:26.1073617Z 
2022-11-23T01:57:26.1074050Z [----------] 6 tests from SchemaInfoMayContainAliasTest
2022-11-23T01:57:26.1075022Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual
2022-11-23T01:57:26.1076155Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual (0 ms)
2022-11-23T01:57:26.1077214Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained
2022-11-23T01:57:26.1078325Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained (0 ms)
2022-11-23T01:57:26.1079356Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasOutputs
2022-11-23T01:57:26.1080318Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasOutputs (0 ms)
2022-11-23T01:57:26.1081322Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput
2022-11-23T01:57:26.1082396Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput (0 ms)
2022-11-23T01:57:26.1083438Z [ RUN      ] SchemaInfoMayContainAliasTest.InputAndOutputContainers
2022-11-23T01:57:26.1084480Z [       OK ] SchemaInfoMayContainAliasTest.InputAndOutputContainers (0 ms)
2022-11-23T01:57:26.1085331Z [ RUN      ] SchemaInfoMayContainAliasTest.Wildcard
2022-11-23T01:57:26.1086150Z [       OK ] SchemaInfoMayContainAliasTest.Wildcard (0 ms)
2022-11-23T01:57:26.1087002Z [----------] 6 tests from SchemaInfoMayContainAliasTest (0 ms total)
2022-11-23T01:57:26.1087409Z 
2022-11-23T01:57:26.1087770Z [----------] 2 tests from SchemaMatchingTest
2022-11-23T01:57:26.1088425Z [ RUN      ] SchemaMatchingTest.VarType
2022-11-23T01:57:26.1089100Z [       OK ] SchemaMatchingTest.VarType (0 ms)
2022-11-23T01:57:26.1089743Z [ RUN      ] SchemaMatchingTest.VarType2
2022-11-23T01:57:26.1090426Z [       OK ] SchemaMatchingTest.VarType2 (0 ms)
2022-11-23T01:57:26.1091158Z [----------] 2 tests from SchemaMatchingTest (0 ms total)
2022-11-23T01:57:26.1091508Z 
2022-11-23T01:57:26.1091810Z [----------] 6 tests from StackOptTest
2022-11-23T01:57:26.1092450Z [ RUN      ] StackOptTest.UseVariadicStack
2022-11-23T01:57:26.1165226Z [       OK ] StackOptTest.UseVariadicStack (9 ms)
2022-11-23T01:57:26.1165678Z [ RUN      ] StackOptTest.UseVariadicStackReplaceMultiple
2022-11-23T01:57:26.1215474Z [       OK ] StackOptTest.UseVariadicStackReplaceMultiple (5 ms)
2022-11-23T01:57:26.1216022Z [ RUN      ] StackOptTest.UseVariadicStackWithMultipleListUses
2022-11-23T01:57:26.1238933Z [       OK ] StackOptTest.UseVariadicStackWithMultipleListUses (2 ms)
2022-11-23T01:57:26.1239418Z [ RUN      ] StackOptTest.UseVariadicStackWithListMutationAfterCat
2022-11-23T01:57:26.1270864Z [       OK ] StackOptTest.UseVariadicStackWithListMutationAfterCat (3 ms)
2022-11-23T01:57:26.1271352Z [ RUN      ] StackOptTest.UseVariadicStackWithListMutationBeforeCat
2022-11-23T01:57:26.1318812Z [       OK ] StackOptTest.UseVariadicStackWithListMutationBeforeCat (4 ms)
2022-11-23T01:57:26.1319310Z [ RUN      ] StackOptTest.UseVariadicStackWithMultipleListMutations
2022-11-23T01:57:26.1387315Z [       OK ] StackOptTest.UseVariadicStackWithMultipleListMutations (6 ms)
2022-11-23T01:57:26.1387950Z [----------] 6 tests from StackOptTest (32 ms total)
2022-11-23T01:57:26.1388207Z 
2022-11-23T01:57:26.1388449Z [----------] 16 tests from SubgraphMatcherTest
2022-11-23T01:57:26.1388944Z [ RUN      ] SubgraphMatcherTest.Trivial1
2022-11-23T01:57:26.1389675Z [       OK ] SubgraphMatcherTest.Trivial1 (0 ms)
2022-11-23T01:57:26.1390139Z [ RUN      ] SubgraphMatcherTest.Trivial2
2022-11-23T01:57:26.1390651Z [       OK ] SubgraphMatcherTest.Trivial2 (0 ms)
2022-11-23T01:57:26.1391133Z [ RUN      ] SubgraphMatcherTest.Trivial3
2022-11-23T01:57:26.1391522Z [       OK ] SubgraphMatcherTest.Trivial3 (0 ms)
2022-11-23T01:57:26.1392006Z [ RUN      ] SubgraphMatcherTest.Trivial4
2022-11-23T01:57:26.1392566Z [       OK ] SubgraphMatcherTest.Trivial4 (0 ms)
2022-11-23T01:57:26.1393095Z [ RUN      ] SubgraphMatcherTest.Linear1
2022-11-23T01:57:26.1393765Z [       OK ] SubgraphMatcherTest.Linear1 (0 ms)
2022-11-23T01:57:26.1394337Z [ RUN      ] SubgraphMatcherTest.Linear2
2022-11-23T01:57:26.1394923Z [       OK ] SubgraphMatcherTest.Linear2 (0 ms)
2022-11-23T01:57:26.1395256Z [ RUN      ] SubgraphMatcherTest.Diamond1
2022-11-23T01:57:26.1395629Z [       OK ] SubgraphMatcherTest.Diamond1 (0 ms)
2022-11-23T01:57:26.1396023Z [ RUN      ] SubgraphMatcherTest.Diamond2
2022-11-23T01:57:26.1396622Z [       OK ] SubgraphMatcherTest.Diamond2 (0 ms)
2022-11-23T01:57:26.1396956Z [ RUN      ] SubgraphMatcherTest.XPattern
2022-11-23T01:57:26.1397275Z [       OK ] SubgraphMatcherTest.XPattern (0 ms)
2022-11-23T01:57:26.1397609Z [ RUN      ] SubgraphMatcherTest.MultipleMatches
2022-11-23T01:57:26.1397951Z [       OK ] SubgraphMatcherTest.MultipleMatches (0 ms)
2022-11-23T01:57:26.1398315Z [ RUN      ] SubgraphMatcherTest.OverlappingMatches
2022-11-23T01:57:26.1398699Z [       OK ] SubgraphMatcherTest.OverlappingMatches (0 ms)
2022-11-23T01:57:26.1399077Z [ RUN      ] SubgraphMatcherTest.MatchInBasicBlocks1
2022-11-23T01:57:26.1399443Z [       OK ] SubgraphMatcherTest.MatchInBasicBlocks1 (0 ms)
2022-11-23T01:57:26.1399818Z [ RUN      ] SubgraphMatcherTest.MatchInBasicBlocks2
2022-11-23T01:57:26.1400201Z [       OK ] SubgraphMatcherTest.MatchInBasicBlocks2 (0 ms)
2022-11-23T01:57:26.1400607Z [ RUN      ] SubgraphMatcherTest.MatchesAttributes
2022-11-23T01:57:26.1401081Z [       OK ] SubgraphMatcherTest.MatchesAttributes (0 ms)
2022-11-23T01:57:26.1401432Z [ RUN      ] SubgraphMatcherTest.BadPattern
2022-11-23T01:57:26.1437003Z [       OK ] SubgraphMatcherTest.BadPattern (4 ms)
2022-11-23T01:57:26.1437517Z [ RUN      ] SubgraphMatcherTest.MultiOutput
2022-11-23T01:57:26.1438077Z [       OK ] SubgraphMatcherTest.MultiOutput (0 ms)
2022-11-23T01:57:26.1438779Z [----------] 16 tests from SubgraphMatcherTest (5 ms total)
2022-11-23T01:57:26.1439050Z 
2022-11-23T01:57:26.1439311Z [----------] 4 tests from SubgraphRewriterTest
2022-11-23T01:57:26.1439785Z [ RUN      ] SubgraphRewriterTest.FilterMatch
2022-11-23T01:57:26.1440270Z [       OK ] SubgraphRewriterTest.FilterMatch (0 ms)
2022-11-23T01:57:26.1440841Z [ RUN      ] SubgraphRewriterTest.FilterNoMatch
2022-11-23T01:57:26.1441394Z [       OK ] SubgraphRewriterTest.FilterNoMatch (0 ms)
2022-11-23T01:57:26.1441741Z [ RUN      ] SubgraphRewriterTest.MultiOutput
2022-11-23T01:57:26.1444991Z [       OK ] SubgraphRewriterTest.MultiOutput (0 ms)
2022-11-23T01:57:26.1445536Z [ RUN      ] SubgraphRewriterTest.OutputType
2022-11-23T01:57:26.1446170Z [       OK ] SubgraphRewriterTest.OutputType (0 ms)
2022-11-23T01:57:26.1446811Z [----------] 4 tests from SubgraphRewriterTest (0 ms total)
2022-11-23T01:57:26.1446990Z 
2022-11-23T01:57:26.1447161Z [----------] 3 tests from SubgraphUtilsTest
2022-11-23T01:57:26.1447439Z [ RUN      ] SubgraphUtilsTest.Basic
2022-11-23T01:57:26.1449771Z [       OK ] SubgraphUtilsTest.Basic (0 ms)
2022-11-23T01:57:26.1450336Z [ RUN      ] SubgraphUtilsTest.MergeSubgraphs
2022-11-23T01:57:26.1452580Z [       OK ] SubgraphUtilsTest.MergeSubgraphs (0 ms)
2022-11-23T01:57:26.1454310Z [ RUN      ] SubgraphUtilsTest.GraphName
2022-11-23T01:57:26.1457151Z [       OK ] SubgraphUtilsTest.GraphName (0 ms)
2022-11-23T01:57:26.1457602Z [----------] 3 tests from SubgraphUtilsTest (0 ms total)
2022-11-23T01:57:26.1457769Z 
2022-11-23T01:57:26.1457908Z [----------] 8 tests from UnionTypeTest
2022-11-23T01:57:26.1458279Z [ RUN      ] UnionTypeTest.UnionOperatorEquals
2022-11-23T01:57:26.1458630Z [       OK ] UnionTypeTest.UnionOperatorEquals (0 ms)
2022-11-23T01:57:26.1459205Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2
2022-11-23T01:57:26.1459602Z [       OK ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2 (0 ms)
2022-11-23T01:57:26.1460029Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalTAndT
2022-11-23T01:57:26.1460388Z [       OK ] UnionTypeTest.UnionCreate_OptionalTAndT (0 ms)
2022-11-23T01:57:26.1460822Z [ RUN      ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship
2022-11-23T01:57:26.1461306Z [       OK ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship (0 ms)
2022-11-23T01:57:26.1461692Z [ RUN      ] UnionTypeTest.UnionCreate_ContainerTAndT
2022-11-23T01:57:26.1462091Z [       OK ] UnionTypeTest.UnionCreate_ContainerTAndT (0 ms)
2022-11-23T01:57:26.1462496Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT
2022-11-23T01:57:26.1463002Z [       OK ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT (0 ms)
2022-11-23T01:57:26.1463386Z [ RUN      ] UnionTypeTest.Subtyping_NumberType
2022-11-23T01:57:26.1463762Z [       OK ] UnionTypeTest.Subtyping_NumberType (0 ms)
2022-11-23T01:57:26.1464094Z [ RUN      ] UnionTypeTest.Subtyping_OptionalType
2022-11-23T01:57:26.1464489Z [       OK ] UnionTypeTest.Subtyping_OptionalType (0 ms)
2022-11-23T01:57:26.1464814Z [----------] 8 tests from UnionTypeTest (0 ms total)
2022-11-23T01:57:26.1464965Z 
2022-11-23T01:57:26.1465175Z [----------] 2 tests from ScriptProfileTest
2022-11-23T01:57:26.1465469Z [ RUN      ] ScriptProfileTest.Basic
2022-11-23T01:57:26.1465766Z [       OK ] ScriptProfileTest.Basic (0 ms)
2022-11-23T01:57:26.1466125Z [ RUN      ] ScriptProfileTest.CallingOrder
2022-11-23T01:57:26.1488415Z [       OK ] ScriptProfileTest.CallingOrder (3 ms)
2022-11-23T01:57:26.1488781Z [----------] 2 tests from ScriptProfileTest (3 ms total)
2022-11-23T01:57:26.1488952Z 
2022-11-23T01:57:26.1489102Z [----------] 7 tests from ShapeAnalysisTest
2022-11-23T01:57:26.1489431Z [ RUN      ] ShapeAnalysisTest.DynamicShapesFusion
2022-11-23T01:57:26.1560788Z [       OK ] ShapeAnalysisTest.DynamicShapesFusion (7 ms)
2022-11-23T01:57:26.1561216Z [ RUN      ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups
2022-11-23T01:57:26.1577333Z [       OK ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups (1 ms)
2022-11-23T01:57:26.1577764Z [ RUN      ] ShapeAnalysisTest.SymbolicShapeAPI
2022-11-23T01:57:26.1659571Z [       OK ] ShapeAnalysisTest.SymbolicShapeAPI (8 ms)
2022-11-23T01:57:26.1659937Z [ RUN      ] ShapeAnalysisTest.BoundedSymbolicShapes
2022-11-23T01:57:26.1665835Z [       OK ] ShapeAnalysisTest.BoundedSymbolicShapes (0 ms)
2022-11-23T01:57:26.1666221Z [ RUN      ] ShapeAnalysisTest.SymbolicShapeCaching
2022-11-23T01:57:26.1672772Z [       OK ] ShapeAnalysisTest.SymbolicShapeCaching (0 ms)
2022-11-23T01:57:26.1673147Z [ RUN      ] ShapeAnalysisTest.ShapeCacheMultipleFns
2022-11-23T01:57:26.1701231Z [       OK ] ShapeAnalysisTest.ShapeCacheMultipleFns (2 ms)
2022-11-23T01:57:26.1701626Z [ RUN      ] ShapeAnalysisTest.TestShapeMultipleReturns
2022-11-23T01:57:26.1714476Z [       OK ] ShapeAnalysisTest.TestShapeMultipleReturns (1 ms)
2022-11-23T01:57:26.1715118Z [----------] 7 tests from ShapeAnalysisTest (22 ms total)
2022-11-23T01:57:26.1715450Z 
2022-11-23T01:57:26.1715736Z [----------] 5 tests from JitLoggingTest
2022-11-23T01:57:26.1716270Z [ RUN      ] JitLoggingTest.CheckSetLoggingLevel
2022-11-23T01:57:26.1716920Z [       OK ] JitLoggingTest.CheckSetLoggingLevel (0 ms)
2022-11-23T01:57:26.1717506Z [ RUN      ] JitLoggingTest.CheckSetMultipleLogLevels
2022-11-23T01:57:26.1718213Z [       OK ] JitLoggingTest.CheckSetMultipleLogLevels (0 ms)
2022-11-23T01:57:26.1719042Z [ RUN      ] JitLoggingTest.CheckLoggingLevelAfterUnset
2022-11-23T01:57:26.1719508Z [       OK ] JitLoggingTest.CheckLoggingLevelAfterUnset (0 ms)
2022-11-23T01:57:26.1719891Z [ RUN      ] JitLoggingTest.CheckAfterChangingLevel
2022-11-23T01:57:26.1720272Z [       OK ] JitLoggingTest.CheckAfterChangingLevel (0 ms)
2022-11-23T01:57:26.1720632Z [ RUN      ] JitLoggingTest.CheckOutputStreamSetting
2022-11-23T01:57:26.1721013Z [       OK ] JitLoggingTest.CheckOutputStreamSetting (0 ms)
2022-11-23T01:57:26.1721376Z [----------] 5 tests from JitLoggingTest (0 ms total)
2022-11-23T01:57:26.1721530Z 
2022-11-23T01:57:26.1721682Z [----------] 9 tests from FileFormatTest
2022-11-23T01:57:26.1722004Z [ RUN      ] FileFormatTest.IdentifiesFlatbufferStream
2022-11-23T01:57:26.1722392Z [       OK ] FileFormatTest.IdentifiesFlatbufferStream (0 ms)
2022-11-23T01:57:26.1722757Z [ RUN      ] FileFormatTest.IdentifiesZipStream
2022-11-23T01:57:26.1723096Z [       OK ] FileFormatTest.IdentifiesZipStream (0 ms)
2022-11-23T01:57:26.1723458Z [ RUN      ] FileFormatTest.FlatbufferTakesPrecedence
2022-11-23T01:57:26.1723904Z [       OK ] FileFormatTest.FlatbufferTakesPrecedence (0 ms)
2022-11-23T01:57:26.1724306Z [ RUN      ] FileFormatTest.HandlesUnknownStream
2022-11-23T01:57:26.1724672Z [       OK ] FileFormatTest.HandlesUnknownStream (0 ms)
2022-11-23T01:57:26.1725018Z [ RUN      ] FileFormatTest.ShortStreamIsUnknown
2022-11-23T01:57:26.1725439Z [       OK ] FileFormatTest.ShortStreamIsUnknown (0 ms)
2022-11-23T01:57:26.1725795Z [ RUN      ] FileFormatTest.EmptyStreamIsUnknown
2022-11-23T01:57:26.1726147Z [       OK ] FileFormatTest.EmptyStreamIsUnknown (0 ms)
2022-11-23T01:57:26.1726533Z [ RUN      ] FileFormatTest.BadStreamIsUnknown
2022-11-23T01:57:26.1726909Z [       OK ] FileFormatTest.BadStreamIsUnknown (0 ms)
2022-11-23T01:57:26.1727308Z [ RUN      ] FileFormatTest.StreamOffsetIsObservedAndRestored
2022-11-23T01:57:26.1727740Z [       OK ] FileFormatTest.StreamOffsetIsObservedAndRestored (0 ms)
2022-11-23T01:57:26.1728119Z [ RUN      ] FileFormatTest.HandlesMissingFile
2022-11-23T01:57:26.1728467Z [       OK ] FileFormatTest.HandlesMissingFile (0 ms)
2022-11-23T01:57:26.1728845Z [----------] 9 tests from FileFormatTest (0 ms total)
2022-11-23T01:57:26.1728999Z 
2022-11-23T01:57:26.1729155Z [----------] 35 tests from FlatbufferTest
2022-11-23T01:57:26.1729521Z [ RUN      ] FlatbufferTest.UpsampleNearest2d
2022-11-23T01:57:26.1729869Z [       OK ] FlatbufferTest.UpsampleNearest2d (1 ms)
2022-11-23T01:57:26.1730329Z [ RUN      ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory
2022-11-23T01:57:26.1738535Z [       OK ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory (0 ms)
2022-11-23T01:57:26.1738925Z [ RUN      ] FlatbufferTest.CheckAttrAccess
2022-11-23T01:57:26.1744680Z [       OK ] FlatbufferTest.CheckAttrAccess (0 ms)
2022-11-23T01:57:26.1745072Z [ RUN      ] FlatbufferTest.MethodInvocation
2022-11-23T01:57:26.1764841Z [       OK ] FlatbufferTest.MethodInvocation (2 ms)
2022-11-23T01:57:26.1765376Z [ RUN      ] FlatbufferTest.FlatbufferBackPortTest
2022-11-23T01:57:26.1794072Z [       OK ] FlatbufferTest.FlatbufferBackPortTest (2 ms)
2022-11-23T01:57:26.1794537Z [ RUN      ] FlatbufferTest.ExtraFiles
2022-11-23T01:57:26.1797586Z [       OK ] FlatbufferTest.ExtraFiles (0 ms)
2022-11-23T01:57:26.1797948Z [ RUN      ] FlatbufferTest.Conv
2022-11-23T01:57:26.1816186Z [       OK ] FlatbufferTest.Conv (1 ms)
2022-11-23T01:57:26.1816852Z [ RUN      ] FlatbufferTest.ConvWithCopyTensorMemory
2022-11-23T01:57:26.1835728Z [       OK ] FlatbufferTest.ConvWithCopyTensorMemory (1 ms)
2022-11-23T01:57:26.1836280Z [ RUN      ] FlatbufferTest.Inline
2022-11-23T01:57:26.1842942Z [       OK ] FlatbufferTest.Inline (0 ms)
2022-11-23T01:57:26.1843350Z [ RUN      ] FlatbufferTest.InlineWithCopyTensorMemory
2022-11-23T01:57:26.1849250Z [       OK ] FlatbufferTest.InlineWithCopyTensorMemory (0 ms)
2022-11-23T01:57:26.1849861Z [ RUN      ] FlatbufferTest.Tuple
2022-11-23T01:57:26.1853851Z [       OK ] FlatbufferTest.Tuple (0 ms)
2022-11-23T01:57:26.1854377Z [ RUN      ] FlatbufferTest.Dict
2022-11-23T01:57:26.1858825Z [       OK ] FlatbufferTest.Dict (0 ms)
2022-11-23T01:57:26.1859350Z [ RUN      ] FlatbufferTest.Prim
2022-11-23T01:57:26.1862225Z [       OK ] FlatbufferTest.Prim (0 ms)
2022-11-23T01:57:26.1862847Z [ RUN      ] FlatbufferTest.PrimScalar
2022-11-23T01:57:26.1866103Z [       OK ] FlatbufferTest.PrimScalar (0 ms)
2022-11-23T01:57:26.1866667Z [ RUN      ] FlatbufferTest.WrongMethodName
2022-11-23T01:57:26.1901575Z [       OK ] FlatbufferTest.WrongMethodName (3 ms)
2022-11-23T01:57:26.1902126Z [ RUN      ] FlatbufferTest.SetState
2022-11-23T01:57:26.1921562Z [       OK ] FlatbufferTest.SetState (1 ms)
2022-11-23T01:57:26.1922104Z [ RUN      ] FlatbufferTest.BuiltinClass
2022-11-23T01:57:26.1927032Z [       OK ] FlatbufferTest.BuiltinClass (0 ms)
2022-11-23T01:57:26.1927608Z [ RUN      ] FlatbufferTest.BuiltinFunction
2022-11-23T01:57:26.1929616Z [       OK ] FlatbufferTest.BuiltinFunction (0 ms)
2022-11-23T01:57:26.1930171Z [ RUN      ] FlatbufferTest.Eval
2022-11-23T01:57:26.1935110Z [       OK ] FlatbufferTest.Eval (0 ms)
2022-11-23T01:57:26.1935692Z [ RUN      ] FlatbufferTest.FindWrongMethodName
2022-11-23T01:57:26.1938206Z [       OK ] FlatbufferTest.FindWrongMethodName (0 ms)
2022-11-23T01:57:26.1938787Z [ RUN      ] FlatbufferTest.FindAndRunMethod
2022-11-23T01:57:26.1944084Z [       OK ] FlatbufferTest.FindAndRunMethod (0 ms)
2022-11-23T01:57:26.1944649Z [ RUN      ] FlatbufferTest.RunMethodVariadic
2022-11-23T01:57:26.1949466Z [       OK ] FlatbufferTest.RunMethodVariadic (0 ms)
2022-11-23T01:57:26.1950044Z [ RUN      ] FlatbufferTest.DuplicateSetState
2022-11-23T01:57:26.1957424Z [       OK ] FlatbufferTest.DuplicateSetState (0 ms)
2022-11-23T01:57:26.1958095Z [ RUN      ] FlatbufferTest.OpNameExportFetchRootOperators
2022-11-23T01:57:26.1963487Z [       OK ] FlatbufferTest.OpNameExportFetchRootOperators (0 ms)
2022-11-23T01:57:26.1964061Z [ RUN      ] FlatbufferTest.DefaultArgsConv
2022-11-23T01:57:26.1976100Z [       OK ] FlatbufferTest.DefaultArgsConv (1 ms)
2022-11-23T01:57:26.1977078Z [ RUN      ] FlatbufferTest.DefaultArgsPinv
2022-11-23T01:57:26.2030124Z [       OK ] FlatbufferTest.DefaultArgsPinv (5 ms)
2022-11-23T01:57:26.2030844Z [ RUN      ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T01:57:26.2040098Z [       OK ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault (0 ms)
2022-11-23T01:57:26.2040711Z [ RUN      ] FlatbufferTest.DefaultArgsPinvWithOutArg
2022-11-23T01:57:26.2060348Z [       OK ] FlatbufferTest.DefaultArgsPinvWithOutArg (1 ms)
2022-11-23T01:57:26.2060929Z [ RUN      ] FlatbufferTest.DefaultArgsWithOutArg
2022-11-23T01:57:26.2069574Z [       OK ] FlatbufferTest.DefaultArgsWithOutArg (0 ms)
2022-11-23T01:57:26.2070234Z [ RUN      ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T01:57:26.2092382Z [       OK ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs (2 ms)
2022-11-23T01:57:26.2092931Z [ RUN      ] FlatbufferTest.OperatorSize1
2022-11-23T01:57:26.2095575Z [       OK ] FlatbufferTest.OperatorSize1 (0 ms)
2022-11-23T01:57:26.2096172Z [ RUN      ] FlatbufferTest.BoolAndDoubleList
2022-11-23T01:57:26.2096899Z [       OK ] FlatbufferTest.BoolAndDoubleList (0 ms)
2022-11-23T01:57:26.2097213Z [ RUN      ] FlatbufferTest.OperatorTest2
2022-11-23T01:57:26.2106789Z [       OK ] FlatbufferTest.OperatorTest2 (1 ms)
2022-11-23T01:57:26.2107431Z [ RUN      ] FlatbufferTest.DetachedBufferSmoke
2022-11-23T01:57:26.2107829Z [       OK ] FlatbufferTest.DetachedBufferSmoke (0 ms)
2022-11-23T01:57:26.2108188Z [ RUN      ] FlatbufferTest.DetachedBufferNullOwner
2022-11-23T01:57:26.2108559Z [       OK ] FlatbufferTest.DetachedBufferNullOwner (0 ms)
2022-11-23T01:57:26.2108922Z [----------] 35 tests from FlatbufferTest (39 ms total)
2022-11-23T01:57:26.2109067Z 
2022-11-23T01:57:26.2109234Z [----------] 3 tests from TestSourceFlatbuffer
2022-11-23T01:57:26.2109572Z [ RUN      ] TestSourceFlatbuffer.UpsampleNearest2d
2022-11-23T01:57:26.2122335Z [       OK ] TestSourceFlatbuffer.UpsampleNearest2d (1 ms)
2022-11-23T01:57:26.2122968Z [ RUN      ] TestSourceFlatbuffer.CheckAttrAccess
2022-11-23T01:57:26.2123596Z [       OK ] TestSourceFlatbuffer.CheckAttrAccess (0 ms)
2022-11-23T01:57:26.2124185Z [ RUN      ] TestSourceFlatbuffer.MethodInvocation
2022-11-23T01:57:26.2175622Z [       OK ] TestSourceFlatbuffer.MethodInvocation (5 ms)
2022-11-23T01:57:26.2176305Z [----------] 3 tests from TestSourceFlatbuffer (6 ms total)
2022-11-23T01:57:26.2176831Z 
2022-11-23T01:57:26.2177044Z [----------] 10 tests from FlatbufferUpgraderTest
2022-11-23T01:57:26.2177378Z [ RUN      ] FlatbufferUpgraderTest.DivTensorV2
2022-11-23T01:57:26.2183940Z [       OK ] FlatbufferUpgraderTest.DivTensorV2 (0 ms)
2022-11-23T01:57:26.2184292Z [ RUN      ] FlatbufferUpgraderTest.DivTensorOutV2
2022-11-23T01:57:26.2192208Z [       OK ] FlatbufferUpgraderTest.DivTensorOutV2 (0 ms)
2022-11-23T01:57:26.2192643Z [ RUN      ] FlatbufferUpgraderTest.DivTensorInplaceV2
2022-11-23T01:57:26.2197454Z [       OK ] FlatbufferUpgraderTest.DivTensorInplaceV2 (0 ms)
2022-11-23T01:57:26.2197856Z [ RUN      ] FlatbufferUpgraderTest.DivScalarFloatV2
2022-11-23T01:57:26.2201832Z [       OK ] FlatbufferUpgraderTest.DivScalarFloatV2 (0 ms)
2022-11-23T01:57:26.2202282Z [ RUN      ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2
2022-11-23T01:57:26.2208716Z [       OK ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2 (0 ms)
2022-11-23T01:57:26.2209161Z [ RUN      ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2
2022-11-23T01:57:26.2213022Z [       OK ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2 (0 ms)
2022-11-23T01:57:26.2213423Z [ RUN      ] FlatbufferUpgraderTest.DivScalarScalarV2
2022-11-23T01:57:26.2218707Z [       OK ] FlatbufferUpgraderTest.DivScalarScalarV2 (0 ms)
2022-11-23T01:57:26.2219128Z [ RUN      ] FlatbufferUpgraderTest.DivScalarIntV2
2022-11-23T01:57:26.2222631Z [       OK ] FlatbufferUpgraderTest.DivScalarIntV2 (0 ms)
2022-11-23T01:57:26.2223060Z [ RUN      ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2
2022-11-23T01:57:26.2229424Z [       OK ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2 (0 ms)
2022-11-23T01:57:26.2229978Z [ RUN      ] FlatbufferUpgraderTest.DivScalarInplaceIntV2
2022-11-23T01:57:26.2233872Z [       OK ] FlatbufferUpgraderTest.DivScalarInplaceIntV2 (0 ms)
2022-11-23T01:57:26.2234437Z [----------] 10 tests from FlatbufferUpgraderTest (5 ms total)
2022-11-23T01:57:26.2234697Z 
2022-11-23T01:57:26.2234936Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture
2022-11-23T01:57:26.2235419Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0
2022-11-23T01:57:26.2236028Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0 (0 ms)
2022-11-23T01:57:26.2236710Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1
2022-11-23T01:57:26.2237461Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1 (0 ms)
2022-11-23T01:57:26.2238092Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2
2022-11-23T01:57:26.2238761Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2 (0 ms)
2022-11-23T01:57:26.2239393Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3
2022-11-23T01:57:26.2240027Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3 (0 ms)
2022-11-23T01:57:26.2240646Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0
2022-11-23T01:57:26.2241464Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0 (0 ms)
2022-11-23T01:57:26.2242194Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1
2022-11-23T01:57:26.2242858Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1 (0 ms)
2022-11-23T01:57:26.2243463Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2
2022-11-23T01:57:26.2244488Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2 (0 ms)
2022-11-23T01:57:26.2245234Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3
2022-11-23T01:57:26.2245834Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3 (0 ms)
2022-11-23T01:57:26.2246419Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0
2022-11-23T01:57:26.2246984Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0 (0 ms)
2022-11-23T01:57:26.2247563Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1
2022-11-23T01:57:26.2248145Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1 (0 ms)
2022-11-23T01:57:26.2248722Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2
2022-11-23T01:57:26.2249287Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2 (0 ms)
2022-11-23T01:57:26.2249860Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3
2022-11-23T01:57:26.2250443Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3 (0 ms)
2022-11-23T01:57:26.2250952Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture (1 ms total)
2022-11-23T01:57:26.2251146Z 
2022-11-23T01:57:26.2251386Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture
2022-11-23T01:57:26.2251837Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0
2022-11-23T01:57:27.0489261Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0 (824 ms)
2022-11-23T01:57:27.0489798Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1
2022-11-23T01:57:28.1944006Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1 (1145 ms)
2022-11-23T01:57:28.1944525Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2
2022-11-23T01:57:29.5875936Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2 (1393 ms)
2022-11-23T01:57:29.5876453Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3
2022-11-23T01:57:30.9241497Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3 (1336 ms)
2022-11-23T01:57:30.9242229Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4
2022-11-23T01:57:32.2537274Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4 (1329 ms)
2022-11-23T01:57:32.2537844Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5
2022-11-23T01:57:33.5999040Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5 (1346 ms)
2022-11-23T01:57:33.5999554Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6
2022-11-23T01:57:34.9306391Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6 (1330 ms)
2022-11-23T01:57:34.9306924Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7
2022-11-23T01:57:36.2382787Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7 (1307 ms)
2022-11-23T01:57:36.2383327Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8
2022-11-23T01:57:37.4285244Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8 (1190 ms)
2022-11-23T01:57:37.4285770Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9
2022-11-23T01:57:38.6142396Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9 (1185 ms)
2022-11-23T01:57:38.6143263Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture (12389 ms total)
2022-11-23T01:57:38.6143486Z 
2022-11-23T01:57:38.6143667Z [----------] Global test environment tear-down
2022-11-23T01:57:38.6210458Z [==========] 568 tests from 118 test suites ran. (13693 ms total)
2022-11-23T01:57:38.6210963Z [  PASSED  ] 568 tests.
2022-11-23T01:57:38.7034750Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *cuda* ]]
2022-11-23T01:57:38.7035175Z + [[ nogpu_NO_AVX2 != *nogpu* ]]
2022-11-23T01:57:38.7035621Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_lazy --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml
2022-11-23T01:57:39.0601744Z CUDA not available. Disabling CUDA and MultiCUDA tests
2022-11-23T01:57:39.0605324Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2022-11-23T01:57:39.0605838Z [==========] Running 612 tests from 10 test suites.
2022-11-23T01:57:39.0606305Z [----------] Global test environment set-up.
2022-11-23T01:57:39.0606684Z [----------] 11 tests from BackendDeviceTest
2022-11-23T01:57:39.0607061Z [ RUN      ] BackendDeviceTest.BackendDeviceType
2022-11-23T01:57:39.0607420Z [       OK ] BackendDeviceTest.BackendDeviceType (0 ms)
2022-11-23T01:57:39.0607801Z [ RUN      ] BackendDeviceTest.Basic1
2022-11-23T01:57:39.0608222Z [       OK ] BackendDeviceTest.Basic1 (0 ms)
2022-11-23T01:57:39.0608693Z [ RUN      ] BackendDeviceTest.Basic2
2022-11-23T01:57:39.0609247Z [       OK ] BackendDeviceTest.Basic2 (0 ms)
2022-11-23T01:57:39.0609600Z [ RUN      ] BackendDeviceTest.Basic3
2022-11-23T01:57:39.0609895Z [       OK ] BackendDeviceTest.Basic3 (0 ms)
2022-11-23T01:57:39.0610184Z [ RUN      ] BackendDeviceTest.Basic4
2022-11-23T01:57:39.0610463Z [       OK ] BackendDeviceTest.Basic4 (0 ms)
2022-11-23T01:57:39.0610935Z [ RUN      ] BackendDeviceTest.Compare
2022-11-23T01:57:39.0611247Z [       OK ] BackendDeviceTest.Compare (0 ms)
2022-11-23T01:57:39.0611539Z [ RUN      ] BackendDeviceTest.Ostream
2022-11-23T01:57:39.0611838Z [       OK ] BackendDeviceTest.Ostream (0 ms)
2022-11-23T01:57:39.0612136Z [ RUN      ] BackendDeviceTest.FromAten
2022-11-23T01:57:39.0672273Z [       OK ] BackendDeviceTest.FromAten (6 ms)
2022-11-23T01:57:39.0672589Z [ RUN      ] BackendDeviceTest.ToAten
2022-11-23T01:57:39.0672890Z [       OK ] BackendDeviceTest.ToAten (0 ms)
2022-11-23T01:57:39.0673369Z [ RUN      ] BackendDeviceTest.GetBackendDevice1
2022-11-23T01:57:39.0674464Z [       OK ] BackendDeviceTest.GetBackendDevice1 (0 ms)
2022-11-23T01:57:39.0675088Z [ RUN      ] BackendDeviceTest.GetBackendDevice2
2022-11-23T01:57:39.0675723Z [       OK ] BackendDeviceTest.GetBackendDevice2 (0 ms)
2022-11-23T01:57:39.0676307Z [----------] 11 tests from BackendDeviceTest (6 ms total)
2022-11-23T01:57:39.0676526Z 
2022-11-23T01:57:39.0676775Z [----------] 2 tests from CacheTest
2022-11-23T01:57:39.0677266Z [ RUN      ] CacheTest.BasicTest
2022-11-23T01:57:39.0677625Z [       OK ] CacheTest.BasicTest (0 ms)
2022-11-23T01:57:39.0677949Z [ RUN      ] CacheTest.ShapeCacheTestForDynamicShape
2022-11-23T01:57:39.0678332Z [       OK ] CacheTest.ShapeCacheTestForDynamicShape (0 ms)
2022-11-23T01:57:39.0678678Z [----------] 2 tests from CacheTest (0 ms total)
2022-11-23T01:57:39.0678827Z 
2022-11-23T01:57:39.0678947Z [----------] 5 tests from IrTest
2022-11-23T01:57:39.0679196Z [ RUN      ] IrTest.BasicTest
2022-11-23T01:57:39.0679461Z [       OK ] IrTest.BasicTest (0 ms)
2022-11-23T01:57:39.0679733Z [ RUN      ] IrTest.MetaDataTest
2022-11-23T01:57:39.0679996Z [       OK ] IrTest.MetaDataTest (0 ms)
2022-11-23T01:57:39.0680264Z [ RUN      ] IrTest.TsNodeTest
2022-11-23T01:57:39.0680531Z [       OK ] IrTest.TsNodeTest (0 ms)
2022-11-23T01:57:39.0680794Z [ RUN      ] IrTest.DimensionNodeTest
2022-11-23T01:57:39.0681087Z [       OK ] IrTest.DimensionNodeTest (0 ms)
2022-11-23T01:57:39.0681393Z [ RUN      ] IrTest.DimensionIsDynamicTest
2022-11-23T01:57:39.0681701Z [       OK ] IrTest.DimensionIsDynamicTest (0 ms)
2022-11-23T01:57:39.0682012Z [----------] 5 tests from IrTest (0 ms total)
2022-11-23T01:57:39.0682154Z 
2022-11-23T01:57:39.0682295Z [----------] 2 tests from IrUtilTest
2022-11-23T01:57:39.0682565Z [ RUN      ] IrUtilTest.BasicTest
2022-11-23T01:57:39.0682829Z [       OK ] IrUtilTest.BasicTest (0 ms)
2022-11-23T01:57:39.0683108Z [ RUN      ] IrUtilTest.TestCircle
2022-11-23T01:57:39.0700380Z [       OK ] IrUtilTest.TestCircle (2 ms)
2022-11-23T01:57:39.0700829Z [----------] 2 tests from IrUtilTest (2 ms total)
2022-11-23T01:57:39.0701013Z 
2022-11-23T01:57:39.0701227Z [----------] 2 tests from HashTest
2022-11-23T01:57:39.0701573Z [ RUN      ] HashTest.Scalar
2022-11-23T01:57:39.0701850Z [       OK ] HashTest.Scalar (0 ms)
2022-11-23T01:57:39.0702102Z [ RUN      ] HashTest.Sanity
2022-11-23T01:57:39.0702363Z [       OK ] HashTest.Sanity (0 ms)
2022-11-23T01:57:39.0702647Z [----------] 2 tests from HashTest (0 ms total)
2022-11-23T01:57:39.0702776Z 
2022-11-23T01:57:39.0702944Z [----------] 3 tests from PermutationUtilTest
2022-11-23T01:57:39.0703300Z [ RUN      ] PermutationUtilTest.TestInversePermutation
2022-11-23T01:57:39.0729104Z [       OK ] PermutationUtilTest.TestInversePermutation (2 ms)
2022-11-23T01:57:39.0729509Z [ RUN      ] PermutationUtilTest.TestIsPermutation
2022-11-23T01:57:39.0729879Z [       OK ] PermutationUtilTest.TestIsPermutation (0 ms)
2022-11-23T01:57:39.0730333Z [ RUN      ] PermutationUtilTest.TestPermute
2022-11-23T01:57:39.0749328Z [       OK ] PermutationUtilTest.TestPermute (1 ms)
2022-11-23T01:57:39.0749857Z [----------] 3 tests from PermutationUtilTest (4 ms total)
2022-11-23T01:57:39.0750115Z 
2022-11-23T01:57:39.0750341Z [----------] 7 tests from ShapeTest
2022-11-23T01:57:39.0750828Z [ RUN      ] ShapeTest.Basic1
2022-11-23T01:57:39.0751310Z [       OK ] ShapeTest.Basic1 (0 ms)
2022-11-23T01:57:39.0751741Z [ RUN      ] ShapeTest.Basic2
2022-11-23T01:57:39.0752194Z [       OK ] ShapeTest.Basic2 (0 ms)
2022-11-23T01:57:39.0752866Z [ RUN      ] ShapeTest.Basic3
2022-11-23T01:57:39.0753297Z [       OK ] ShapeTest.Basic3 (0 ms)
2022-11-23T01:57:39.0753573Z [ RUN      ] ShapeTest.SetScalarType
2022-11-23T01:57:39.0753867Z [       OK ] ShapeTest.SetScalarType (0 ms)
2022-11-23T01:57:39.0754135Z [ RUN      ] ShapeTest.SetSize
2022-11-23T01:57:39.0754467Z [       OK ] ShapeTest.SetSize (0 ms)
2022-11-23T01:57:39.0754728Z [ RUN      ] ShapeTest.Equal
2022-11-23T01:57:39.0754976Z [       OK ] ShapeTest.Equal (0 ms)
2022-11-23T01:57:39.0755237Z [ RUN      ] ShapeTest.Ostream
2022-11-23T01:57:39.0755501Z [       OK ] ShapeTest.Ostream (0 ms)
2022-11-23T01:57:39.0755797Z [----------] 7 tests from ShapeTest (0 ms total)
2022-11-23T01:57:39.0755932Z 
2022-11-23T01:57:39.0756081Z [----------] 2 tests from TrieCacheTest
2022-11-23T01:57:39.0756371Z [ RUN      ] TrieCacheTest.TestSinglePath
2022-11-23T01:57:39.0756704Z [       OK ] TrieCacheTest.TestSinglePath (0 ms)
2022-11-23T01:57:39.0756995Z [ RUN      ] TrieCacheTest.TestTwoPaths
2022-11-23T01:57:39.0757303Z [       OK ] TrieCacheTest.TestTwoPaths (0 ms)
2022-11-23T01:57:39.0757626Z [----------] 2 tests from TrieCacheTest (0 ms total)
2022-11-23T01:57:39.0757779Z 
2022-11-23T01:57:39.0757918Z [----------] 3 tests from UtilTest
2022-11-23T01:57:39.0758182Z [ RUN      ] UtilTest.ExceptionCleanup
2022-11-23T01:57:39.0758486Z [       OK ] UtilTest.ExceptionCleanup (0 ms)
2022-11-23T01:57:39.0758763Z [ RUN      ] UtilTest.MaybeRef
2022-11-23T01:57:39.0759016Z [       OK ] UtilTest.MaybeRef (0 ms)
2022-11-23T01:57:39.0759267Z [ RUN      ] UtilTest.Iota
2022-11-23T01:57:39.0759520Z [       OK ] UtilTest.Iota (0 ms)
2022-11-23T01:57:39.0759789Z [----------] 3 tests from UtilTest (0 ms total)
2022-11-23T01:57:39.0759937Z 
2022-11-23T01:57:39.0760084Z [----------] 575 tests from LazyOpsTest
2022-11-23T01:57:39.0762164Z [ RUN      ] LazyOpsTest.TestScalarTensor
2022-11-23T01:57:39.0891665Z [       OK ] LazyOpsTest.TestScalarTensor (12 ms)
2022-11-23T01:57:39.0891963Z [ RUN      ] LazyOpsTest.TestClone
2022-11-23T01:57:39.0922495Z [       OK ] LazyOpsTest.TestClone (3 ms)
2022-11-23T01:57:39.0923067Z [ RUN      ] LazyOpsTest.TestTo
2022-11-23T01:57:39.0923490Z [       OK ] LazyOpsTest.TestTo (0 ms)
2022-11-23T01:57:39.0923807Z [ RUN      ] LazyOpsTest.TestIsFloatingPoint
2022-11-23T01:57:39.0924144Z [       OK ] LazyOpsTest.TestIsFloatingPoint (0 ms)
2022-11-23T01:57:39.0924442Z [ RUN      ] LazyOpsTest.TestIsSigned
2022-11-23T01:57:39.0924835Z [       OK ] LazyOpsTest.TestIsSigned (0 ms)
2022-11-23T01:57:39.0925129Z [ RUN      ] LazyOpsTest.TestCastByte
2022-11-23T01:57:39.1280608Z [       OK ] LazyOpsTest.TestCastByte (35 ms)
2022-11-23T01:57:39.1280953Z [ RUN      ] LazyOpsTest.TestCastChar
2022-11-23T01:57:39.1283563Z [       OK ] LazyOpsTest.TestCastChar (0 ms)
2022-11-23T01:57:39.1283871Z [ RUN      ] LazyOpsTest.TestCastShort
2022-11-23T01:57:39.1286909Z [       OK ] LazyOpsTest.TestCastShort (0 ms)
2022-11-23T01:57:39.1287417Z [ RUN      ] LazyOpsTest.TestCastInt
2022-11-23T01:57:39.1290070Z [       OK ] LazyOpsTest.TestCastInt (0 ms)
2022-11-23T01:57:39.1290437Z [ RUN      ] LazyOpsTest.TestCastLong
2022-11-23T01:57:39.1293099Z [       OK ] LazyOpsTest.TestCastLong (0 ms)
2022-11-23T01:57:39.1293404Z [ RUN      ] LazyOpsTest.TestCastFloat
2022-11-23T01:57:39.1293713Z [       OK ] LazyOpsTest.TestCastFloat (0 ms)
2022-11-23T01:57:39.1294003Z [ RUN      ] LazyOpsTest.TestRetainType
2022-11-23T01:57:39.1301487Z [       OK ] LazyOpsTest.TestRetainType (0 ms)
2022-11-23T01:57:39.1301936Z [ RUN      ] LazyOpsTest.TestLogicalTypeWithInterop
2022-11-23T01:57:39.1337255Z [       OK ] LazyOpsTest.TestLogicalTypeWithInterop (3 ms)
2022-11-23T01:57:39.1337569Z [ RUN      ] LazyOpsTest.TestAdd
2022-11-23T01:57:39.1340781Z [       OK ] LazyOpsTest.TestAdd (0 ms)
2022-11-23T01:57:39.1341075Z [ RUN      ] LazyOpsTest.TestAddHalf
2022-11-23T01:57:39.1344177Z [       OK ] LazyOpsTest.TestAddHalf (0 ms)
2022-11-23T01:57:39.1344509Z [ RUN      ] LazyOpsTest.TestAddMixedPrecision
2022-11-23T01:57:39.1349811Z [       OK ] LazyOpsTest.TestAddMixedPrecision (0 ms)
2022-11-23T01:57:39.1350139Z [ RUN      ] LazyOpsTest.TestAddInPlace
2022-11-23T01:57:39.1354360Z [       OK ] LazyOpsTest.TestAddInPlace (0 ms)
2022-11-23T01:57:39.1354739Z [ RUN      ] LazyOpsTest.TestAddScalar
2022-11-23T01:57:39.1357403Z [       OK ] LazyOpsTest.TestAddScalar (0 ms)
2022-11-23T01:57:39.1357712Z [ RUN      ] LazyOpsTest.TestAddScalarInPlace
2022-11-23T01:57:39.1361224Z [       OK ] LazyOpsTest.TestAddScalarInPlace (0 ms)
2022-11-23T01:57:39.1361558Z [ RUN      ] LazyOpsTest.TestAddZeroSizeDim
2022-11-23T01:57:39.1363842Z [       OK ] LazyOpsTest.TestAddZeroSizeDim (0 ms)
2022-11-23T01:57:39.1364131Z [ RUN      ] LazyOpsTest.TestSub
2022-11-23T01:57:39.1366709Z [       OK ] LazyOpsTest.TestSub (0 ms)
2022-11-23T01:57:39.1367001Z [ RUN      ] LazyOpsTest.TestSubInPlace
2022-11-23T01:57:39.1380295Z [       OK ] LazyOpsTest.TestSubInPlace (1 ms)
2022-11-23T01:57:39.1380602Z [ RUN      ] LazyOpsTest.TestSubScalar
2022-11-23T01:57:39.1383111Z [       OK ] LazyOpsTest.TestSubScalar (0 ms)
2022-11-23T01:57:39.1383434Z [ RUN      ] LazyOpsTest.TestSubScalarInPlace
2022-11-23T01:57:39.1387008Z [       OK ] LazyOpsTest.TestSubScalarInPlace (0 ms)
2022-11-23T01:57:39.1387311Z [ RUN      ] LazyOpsTest.TestMul
2022-11-23T01:57:39.1390057Z [       OK ] LazyOpsTest.TestMul (0 ms)
2022-11-23T01:57:39.1390339Z [ RUN      ] LazyOpsTest.TestMulInPlace
2022-11-23T01:57:39.1401703Z [       OK ] LazyOpsTest.TestMulInPlace (1 ms)
2022-11-23T01:57:39.1402012Z [ RUN      ] LazyOpsTest.TestMulScalar
2022-11-23T01:57:39.1404596Z [       OK ] LazyOpsTest.TestMulScalar (0 ms)
2022-11-23T01:57:39.1404906Z [ RUN      ] LazyOpsTest.TestMulScalarInPlace
2022-11-23T01:57:39.1408627Z [       OK ] LazyOpsTest.TestMulScalarInPlace (0 ms)
2022-11-23T01:57:39.1408932Z [ RUN      ] LazyOpsTest.TestDiv
2022-11-23T01:57:39.1498879Z [       OK ] LazyOpsTest.TestDiv (8 ms)
2022-11-23T01:57:39.1499207Z [ RUN      ] LazyOpsTest.TestDivWithRoundingMode
2022-11-23T01:57:39.1794075Z [       OK ] LazyOpsTest.TestDivWithRoundingMode (29 ms)
2022-11-23T01:57:39.1794478Z [ RUN      ] LazyOpsTest.TestDivInPlace
2022-11-23T01:57:39.1797488Z [       OK ] LazyOpsTest.TestDivInPlace (0 ms)
2022-11-23T01:57:39.1797848Z [ RUN      ] LazyOpsTest.TestDivInPlaceWithRoundingMode
2022-11-23T01:57:39.1808692Z [       OK ] LazyOpsTest.TestDivInPlaceWithRoundingMode (1 ms)
2022-11-23T01:57:39.1809029Z [ RUN      ] LazyOpsTest.TestDivScalar
2022-11-23T01:57:39.1836778Z [       OK ] LazyOpsTest.TestDivScalar (2 ms)
2022-11-23T01:57:39.1837125Z [ RUN      ] LazyOpsTest.TestDivScalarInPlace
2022-11-23T01:57:39.1842857Z [       OK ] LazyOpsTest.TestDivScalarInPlace (0 ms)
2022-11-23T01:57:39.1843178Z [ RUN      ] LazyOpsTest.TestDivOut
2022-11-23T01:57:39.1846705Z [       OK ] LazyOpsTest.TestDivOut (0 ms)
2022-11-23T01:57:39.1847003Z [ RUN      ] LazyOpsTest.TestRsubScalar
2022-11-23T01:57:39.1849810Z [       OK ] LazyOpsTest.TestRsubScalar (0 ms)
2022-11-23T01:57:39.1850101Z [ RUN      ] LazyOpsTest.TestNe
2022-11-23T01:57:39.1852529Z [       OK ] LazyOpsTest.TestNe (0 ms)
2022-11-23T01:57:39.1852817Z [ RUN      ] LazyOpsTest.TestNeInplace
2022-11-23T01:57:39.1871078Z [       OK ] LazyOpsTest.TestNeInplace (1 ms)
2022-11-23T01:57:39.1871368Z [ RUN      ] LazyOpsTest.TestEq
2022-11-23T01:57:39.1873496Z [       OK ] LazyOpsTest.TestEq (0 ms)
2022-11-23T01:57:39.1873778Z [ RUN      ] LazyOpsTest.TestEqInplace
2022-11-23T01:57:39.1877980Z [       OK ] LazyOpsTest.TestEqInplace (0 ms)
2022-11-23T01:57:39.1878264Z [ RUN      ] LazyOpsTest.TestGe
2022-11-23T01:57:39.1880565Z [       OK ] LazyOpsTest.TestGe (0 ms)
2022-11-23T01:57:39.1880839Z [ RUN      ] LazyOpsTest.TestGeInplace
2022-11-23T01:57:39.1885021Z [       OK ] LazyOpsTest.TestGeInplace (0 ms)
2022-11-23T01:57:39.1885307Z [ RUN      ] LazyOpsTest.TestLe
2022-11-23T01:57:39.1887458Z [       OK ] LazyOpsTest.TestLe (0 ms)
2022-11-23T01:57:39.1887760Z [ RUN      ] LazyOpsTest.TestLeInplace
2022-11-23T01:57:39.1891860Z [       OK ] LazyOpsTest.TestLeInplace (0 ms)
2022-11-23T01:57:39.1892151Z [ RUN      ] LazyOpsTest.TestGt
2022-11-23T01:57:39.1894583Z [       OK ] LazyOpsTest.TestGt (0 ms)
2022-11-23T01:57:39.1894869Z [ RUN      ] LazyOpsTest.TestGtInplace
2022-11-23T01:57:39.1899329Z [       OK ] LazyOpsTest.TestGtInplace (0 ms)
2022-11-23T01:57:39.1899602Z [ RUN      ] LazyOpsTest.TestLt
2022-11-23T01:57:39.1901744Z [       OK ] LazyOpsTest.TestLt (0 ms)
2022-11-23T01:57:39.1902034Z [ RUN      ] LazyOpsTest.TestLtInplace
2022-11-23T01:57:39.1915932Z [       OK ] LazyOpsTest.TestLtInplace (1 ms)
2022-11-23T01:57:39.1916238Z [ RUN      ] LazyOpsTest.TestNeScalar
2022-11-23T01:57:39.1925648Z [       OK ] LazyOpsTest.TestNeScalar (0 ms)
2022-11-23T01:57:39.1925946Z [ RUN      ] LazyOpsTest.TestEqScalar
2022-11-23T01:57:39.1928013Z [       OK ] LazyOpsTest.TestEqScalar (0 ms)
2022-11-23T01:57:39.1928311Z [ RUN      ] LazyOpsTest.TestGeScalar
2022-11-23T01:57:39.1930343Z [       OK ] LazyOpsTest.TestGeScalar (0 ms)
2022-11-23T01:57:39.1930650Z [ RUN      ] LazyOpsTest.TestGeScalarInplace
2022-11-23T01:57:39.1946034Z [       OK ] LazyOpsTest.TestGeScalarInplace (1 ms)
2022-11-23T01:57:39.1946366Z [ RUN      ] LazyOpsTest.TestLeScalar
2022-11-23T01:57:39.1948727Z [       OK ] LazyOpsTest.TestLeScalar (0 ms)
2022-11-23T01:57:39.1949035Z [ RUN      ] LazyOpsTest.TestLeScalarInplace
2022-11-23T01:57:39.1953046Z [       OK ] LazyOpsTest.TestLeScalarInplace (0 ms)
2022-11-23T01:57:39.1953356Z [ RUN      ] LazyOpsTest.TestGtScalar
2022-11-23T01:57:39.1955882Z [       OK ] LazyOpsTest.TestGtScalar (0 ms)
2022-11-23T01:57:39.1966380Z [ RUN      ] LazyOpsTest.TestGtScalarInplace
2022-11-23T01:57:39.1966949Z [       OK ] LazyOpsTest.TestGtScalarInplace (0 ms)
2022-11-23T01:57:39.1967329Z [ RUN      ] LazyOpsTest.TestLtScalar
2022-11-23T01:57:39.1967640Z [       OK ] LazyOpsTest.TestLtScalar (0 ms)
2022-11-23T01:57:39.1967957Z [ RUN      ] LazyOpsTest.TestLtScalarInplace
2022-11-23T01:57:39.1968300Z [       OK ] LazyOpsTest.TestLtScalarInplace (0 ms)
2022-11-23T01:57:39.1968747Z [ RUN      ] LazyOpsTest.TestIntegerAdd
2022-11-23T01:57:39.1979434Z [       OK ] LazyOpsTest.TestIntegerAdd (1 ms)
2022-11-23T01:57:39.1979738Z [ RUN      ] LazyOpsTest.TestSVD
2022-11-23T01:57:39.2044901Z [       OK ] LazyOpsTest.TestSVD (6 ms)
2022-11-23T01:57:39.2045343Z [ RUN      ] LazyOpsTest.TestQR
2022-11-23T01:57:39.2045718Z [W BatchLinearAlgebra.cpp:2458] Warning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T01:57:39.2046175Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T01:57:39.2046553Z Q, R = torch.qr(A, some)
2022-11-23T01:57:39.2046749Z should be replaced with
2022-11-23T01:57:39.2047081Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (function operator())
2022-11-23T01:57:39.2068935Z [       OK ] LazyOpsTest.TestQR (2 ms)
2022-11-23T01:57:39.2069455Z [ RUN      ] LazyOpsTest.TestSymEig
2022-11-23T01:57:39.2070179Z [W BatchLinearAlgebra.cpp:2909] Warning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T01:57:39.2071914Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T01:57:39.2072499Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T01:57:39.2072868Z should be replaced with
2022-11-23T01:57:39.2073419Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T01:57:39.2073715Z and
2022-11-23T01:57:39.2073906Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T01:57:39.2074121Z should be replaced with
2022-11-23T01:57:39.2074508Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (function operator())
2022-11-23T01:57:39.2091093Z [       OK ] LazyOpsTest.TestSymEig (2 ms)
2022-11-23T01:57:39.2091630Z [ RUN      ] LazyOpsTest.TestCholesky
2022-11-23T01:57:39.2093622Z [W BatchLinearAlgebra.cpp:1729] Warning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2022-11-23T01:57:39.2094245Z L = torch.cholesky(A)
2022-11-23T01:57:39.2094596Z should be replaced with
2022-11-23T01:57:39.2094922Z L = torch.linalg.cholesky(A)
2022-11-23T01:57:39.2095106Z and
2022-11-23T01:57:39.2095270Z U = torch.cholesky(A, upper=True)
2022-11-23T01:57:39.2095471Z should be replaced with
2022-11-23T01:57:39.2095676Z U = torch.linalg.cholesky(A).mH().
2022-11-23T01:57:39.2095989Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (function operator())
2022-11-23T01:57:39.2102886Z [       OK ] LazyOpsTest.TestCholesky (1 ms)
2022-11-23T01:57:39.2103260Z [ RUN      ] LazyOpsTest.TestLogDet
2022-11-23T01:57:39.2121047Z [       OK ] LazyOpsTest.TestLogDet (1 ms)
2022-11-23T01:57:39.2121544Z [ RUN      ] LazyOpsTest.TestTriangularSolve
2022-11-23T01:57:39.2122363Z [W BatchLinearAlgebra.cpp:2224] Warning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T01:57:39.2122989Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T01:57:39.2123390Z X = torch.triangular_solve(B, A).solution
2022-11-23T01:57:39.2123679Z should be replaced with
2022-11-23T01:57:39.2123987Z X = torch.linalg.solve_triangular(A, B). (function operator())
2022-11-23T01:57:39.2348453Z [       OK ] LazyOpsTest.TestTriangularSolve (22 ms)
2022-11-23T01:57:39.2348781Z [ RUN      ] LazyOpsTest.TestKthValue
2022-11-23T01:57:39.2381581Z [       OK ] LazyOpsTest.TestKthValue (3 ms)
2022-11-23T01:57:39.2381893Z [ RUN      ] LazyOpsTest.TestTopK
2022-11-23T01:57:39.2564643Z [       OK ] LazyOpsTest.TestTopK (18 ms)
2022-11-23T01:57:39.2564922Z [ RUN      ] LazyOpsTest.TestSort
2022-11-23T01:57:39.2636963Z [       OK ] LazyOpsTest.TestSort (7 ms)
2022-11-23T01:57:39.2637302Z [ RUN      ] LazyOpsTest.TestSortDescWithMinValue
2022-11-23T01:57:39.2641913Z [       OK ] LazyOpsTest.TestSortDescWithMinValue (0 ms)
2022-11-23T01:57:39.2642243Z [ RUN      ] LazyOpsTest.TestArgSort
2022-11-23T01:57:39.2653704Z [       OK ] LazyOpsTest.TestArgSort (1 ms)
2022-11-23T01:57:39.2653994Z [ RUN      ] LazyOpsTest.TestMin
2022-11-23T01:57:39.2657026Z [       OK ] LazyOpsTest.TestMin (0 ms)
2022-11-23T01:57:39.2657355Z [ RUN      ] LazyOpsTest.TestMax
2022-11-23T01:57:39.2660259Z [       OK ] LazyOpsTest.TestMax (0 ms)
2022-11-23T01:57:39.2660597Z [ RUN      ] LazyOpsTest.TestUnaryMin
2022-11-23T01:57:39.2662928Z [       OK ] LazyOpsTest.TestUnaryMin (0 ms)
2022-11-23T01:57:39.2663294Z [ RUN      ] LazyOpsTest.TestUnaryMax
2022-11-23T01:57:39.2665597Z [       OK ] LazyOpsTest.TestUnaryMax (0 ms)
2022-11-23T01:57:39.2665930Z [ RUN      ] LazyOpsTest.TestAll
2022-11-23T01:57:39.2679805Z [       OK ] LazyOpsTest.TestAll (1 ms)
2022-11-23T01:57:39.2680170Z [ RUN      ] LazyOpsTest.TestAllDim
2022-11-23T01:57:39.2682479Z [       OK ] LazyOpsTest.TestAllDim (0 ms)
2022-11-23T01:57:39.2682845Z [ RUN      ] LazyOpsTest.TestAllDimKeep
2022-11-23T01:57:39.2684743Z [       OK ] LazyOpsTest.TestAllDimKeep (0 ms)
2022-11-23T01:57:39.2685092Z [ RUN      ] LazyOpsTest.TestAmax
2022-11-23T01:57:39.2721348Z [       OK ] LazyOpsTest.TestAmax (3 ms)
2022-11-23T01:57:39.2721706Z [ RUN      ] LazyOpsTest.TestAmin
2022-11-23T01:57:39.2757419Z [       OK ] LazyOpsTest.TestAmin (3 ms)
2022-11-23T01:57:39.2757755Z [ RUN      ] LazyOpsTest.TestAny
2022-11-23T01:57:39.2767539Z [       OK ] LazyOpsTest.TestAny (1 ms)
2022-11-23T01:57:39.2767887Z [ RUN      ] LazyOpsTest.TestAnyDim
2022-11-23T01:57:39.2769999Z [       OK ] LazyOpsTest.TestAnyDim (0 ms)
2022-11-23T01:57:39.2770355Z [ RUN      ] LazyOpsTest.TestAnyDimKeep
2022-11-23T01:57:39.2772227Z [       OK ] LazyOpsTest.TestAnyDimKeep (0 ms)
2022-11-23T01:57:39.2772573Z [ RUN      ] LazyOpsTest.TestMean
2022-11-23T01:57:39.2775280Z [       OK ] LazyOpsTest.TestMean (0 ms)
2022-11-23T01:57:39.2775614Z [ RUN      ] LazyOpsTest.TestMeanCast
2022-11-23T01:57:39.2778252Z [       OK ] LazyOpsTest.TestMeanCast (0 ms)
2022-11-23T01:57:39.2778595Z [ RUN      ] LazyOpsTest.TestMeanInDim
2022-11-23T01:57:39.2796046Z [       OK ] LazyOpsTest.TestMeanInDim (1 ms)
2022-11-23T01:57:39.2796421Z [ RUN      ] LazyOpsTest.TestMeanInDims
2022-11-23T01:57:39.2802037Z [       OK ] LazyOpsTest.TestMeanInDims (0 ms)
2022-11-23T01:57:39.2802420Z [ RUN      ] LazyOpsTest.TestMeanInDimsKeepCast
2022-11-23T01:57:39.2808258Z [       OK ] LazyOpsTest.TestMeanInDimsKeepCast (0 ms)
2022-11-23T01:57:39.2808660Z [ RUN      ] LazyOpsTest.TestMeanInDimOut
2022-11-23T01:57:39.2837396Z [       OK ] LazyOpsTest.TestMeanInDimOut (2 ms)
2022-11-23T01:57:39.2837754Z [ RUN      ] LazyOpsTest.TestStd
2022-11-23T01:57:39.2843895Z [       OK ] LazyOpsTest.TestStd (0 ms)
2022-11-23T01:57:39.2844235Z [ RUN      ] LazyOpsTest.TestStdInDim
2022-11-23T01:57:39.2918380Z [       OK ] LazyOpsTest.TestStdInDim (7 ms)
2022-11-23T01:57:39.2918788Z [ RUN      ] LazyOpsTest.TestStdWithCorrection
2022-11-23T01:57:39.2952422Z [       OK ] LazyOpsTest.TestStdWithCorrection (3 ms)
2022-11-23T01:57:39.2952836Z [ RUN      ] LazyOpsTest.TestStdMeanWithCorrection
2022-11-23T01:57:39.2965575Z [       OK ] LazyOpsTest.TestStdMeanWithCorrection (1 ms)
2022-11-23T01:57:39.2965960Z [ RUN      ] LazyOpsTest.TestSum
2022-11-23T01:57:39.2968738Z [       OK ] LazyOpsTest.TestSum (0 ms)
2022-11-23T01:57:39.2969191Z [ RUN      ] LazyOpsTest.TestSumCast
2022-11-23T01:57:39.2971344Z [       OK ] LazyOpsTest.TestSumCast (0 ms)
2022-11-23T01:57:39.2971648Z [ RUN      ] LazyOpsTest.TestSumU8
2022-11-23T01:57:39.2973893Z [       OK ] LazyOpsTest.TestSumU8 (0 ms)
2022-11-23T01:57:39.2974193Z [ RUN      ] LazyOpsTest.TestSumInDim
2022-11-23T01:57:39.2991076Z [       OK ] LazyOpsTest.TestSumInDim (1 ms)
2022-11-23T01:57:39.2991388Z [ RUN      ] LazyOpsTest.TestSumInDims
2022-11-23T01:57:39.2997092Z [       OK ] LazyOpsTest.TestSumInDims (0 ms)
2022-11-23T01:57:39.2997549Z [ RUN      ] LazyOpsTest.TestSumInDimsKeep
2022-11-23T01:57:39.3002820Z [       OK ] LazyOpsTest.TestSumInDimsKeep (0 ms)
2022-11-23T01:57:39.3003220Z [ RUN      ] LazyOpsTest.TestSumInDimsKeepCast
2022-11-23T01:57:39.3008643Z [       OK ] LazyOpsTest.TestSumInDimsKeepCast (0 ms)
2022-11-23T01:57:39.3009039Z [ RUN      ] LazyOpsTest.TestVar
2022-11-23T01:57:39.3011035Z [       OK ] LazyOpsTest.TestVar (0 ms)
2022-11-23T01:57:39.3011381Z [ RUN      ] LazyOpsTest.TestVarWithDim
2022-11-23T01:57:39.3016749Z [       OK ] LazyOpsTest.TestVarWithDim (0 ms)
2022-11-23T01:57:39.3017157Z [ RUN      ] LazyOpsTest.TestVarWithCorrection
2022-11-23T01:57:39.3024954Z [       OK ] LazyOpsTest.TestVarWithCorrection (0 ms)
2022-11-23T01:57:39.3025404Z [ RUN      ] LazyOpsTest.TestVarMeanWithCorrection
2022-11-23T01:57:39.3038430Z [       OK ] LazyOpsTest.TestVarMeanWithCorrection (1 ms)
2022-11-23T01:57:39.3039051Z [ RUN      ] LazyOpsTest.TestMaxInDim
2022-11-23T01:57:39.3096865Z [       OK ] LazyOpsTest.TestMaxInDim (5 ms)
2022-11-23T01:57:39.3097247Z [ RUN      ] LazyOpsTest.TestMinInDim
2022-11-23T01:57:39.3108456Z [       OK ] LazyOpsTest.TestMinInDim (1 ms)
2022-11-23T01:57:39.3108993Z [ RUN      ] LazyOpsTest.TestNorm
2022-11-23T01:57:39.3112629Z [       OK ] LazyOpsTest.TestNorm (0 ms)
2022-11-23T01:57:39.3113050Z [ RUN      ] LazyOpsTest.TestNormInDim
2022-11-23T01:57:39.3119297Z [       OK ] LazyOpsTest.TestNormInDim (0 ms)
2022-11-23T01:57:39.3119778Z [ RUN      ] LazyOpsTest.TestNormInDims
2022-11-23T01:57:39.3126236Z [       OK ] LazyOpsTest.TestNormInDims (0 ms)
2022-11-23T01:57:39.3126746Z [ RUN      ] LazyOpsTest.TestNormInDimsKeep
2022-11-23T01:57:39.3133488Z [       OK ] LazyOpsTest.TestNormInDimsKeep (0 ms)
2022-11-23T01:57:39.3134116Z [ RUN      ] LazyOpsTest.TestNormalTwoTensor
2022-11-23T01:57:39.3139933Z [       OK ] LazyOpsTest.TestNormalTwoTensor (0 ms)
2022-11-23T01:57:39.3140402Z [ RUN      ] LazyOpsTest.TestNormalDoubleMean
2022-11-23T01:57:39.3147372Z [       OK ] LazyOpsTest.TestNormalDoubleMean (0 ms)
2022-11-23T01:57:39.3147917Z [ RUN      ] LazyOpsTest.TestNormalDoubleStd
2022-11-23T01:57:39.3149641Z [       OK ] LazyOpsTest.TestNormalDoubleStd (0 ms)
2022-11-23T01:57:39.3150242Z [ RUN      ] LazyOpsTest.TestNormalInPlace
2022-11-23T01:57:39.3152651Z [       OK ] LazyOpsTest.TestNormalInPlace (0 ms)
2022-11-23T01:57:39.3153243Z [ RUN      ] LazyOpsTest.TestUniformInPlace
2022-11-23T01:57:39.3155270Z [       OK ] LazyOpsTest.TestUniformInPlace (0 ms)
2022-11-23T01:57:39.3155849Z [ RUN      ] LazyOpsTest.TestRandomInPlace
2022-11-23T01:57:39.3204691Z [       OK ] LazyOpsTest.TestRandomInPlace (4 ms)
2022-11-23T01:57:39.3205328Z [ RUN      ] LazyOpsTest.TestRandomInPlaceDefaultFrom
2022-11-23T01:57:39.3252844Z [       OK ] LazyOpsTest.TestRandomInPlaceDefaultFrom (4 ms)
2022-11-23T01:57:39.3253456Z [ RUN      ] LazyOpsTest.TestRandomInPlaceDefault
2022-11-23T01:57:39.3265429Z [       OK ] LazyOpsTest.TestRandomInPlaceDefault (1 ms)
2022-11-23T01:57:39.3266145Z [ RUN      ] LazyOpsTest.TestNormGeneral
2022-11-23T01:57:39.3268757Z [       OK ] LazyOpsTest.TestNormGeneral (0 ms)
2022-11-23T01:57:39.3269341Z [ RUN      ] LazyOpsTest.TestNormNuclear
2022-11-23T01:57:39.3272397Z [       OK ] LazyOpsTest.TestNormNuclear (0 ms)
2022-11-23T01:57:39.3272965Z [ RUN      ] LazyOpsTest.TestFrobeniusNorm
2022-11-23T01:57:39.3273890Z [       OK ] LazyOpsTest.TestFrobeniusNorm (0 ms)
2022-11-23T01:57:39.3274572Z [ RUN      ] LazyOpsTest.TestFrobeniusNormInDim
2022-11-23T01:57:39.3281232Z [       OK ] LazyOpsTest.TestFrobeniusNormInDim (0 ms)
2022-11-23T01:57:39.3281914Z [ RUN      ] LazyOpsTest.TestFrobeniusNormInDims
2022-11-23T01:57:39.3292511Z [       OK ] LazyOpsTest.TestFrobeniusNormInDims (1 ms)
2022-11-23T01:57:39.3293097Z [ RUN      ] LazyOpsTest.TestGroupNorm
2022-11-23T01:57:39.3328825Z [       OK ] LazyOpsTest.TestGroupNorm (3 ms)
2022-11-23T01:57:39.3329318Z [ RUN      ] LazyOpsTest.TestGroupNormBackward
2022-11-23T01:57:39.3775481Z [       OK ] LazyOpsTest.TestGroupNormBackward (44 ms)
2022-11-23T01:57:39.3776118Z [ RUN      ] LazyOpsTest.TestInstanceNorm
2022-11-23T01:57:39.3801235Z [       OK ] LazyOpsTest.TestInstanceNorm (2 ms)
2022-11-23T01:57:39.3802003Z [ RUN      ] LazyOpsTest.TestLayerNorm
2022-11-23T01:57:39.3838573Z [       OK ] LazyOpsTest.TestLayerNorm (3 ms)
2022-11-23T01:57:39.3839171Z [ RUN      ] LazyOpsTest.TestLayerNormBackward
2022-11-23T01:57:39.4076774Z [       OK ] LazyOpsTest.TestLayerNormBackward (23 ms)
2022-11-23T01:57:39.4077253Z [ RUN      ] LazyOpsTest.TestNuclearNorm
2022-11-23T01:57:39.4085009Z [       OK ] LazyOpsTest.TestNuclearNorm (0 ms)
2022-11-23T01:57:39.4085427Z [ RUN      ] LazyOpsTest.TestPairwiseDistance
2022-11-23T01:57:39.4756262Z [       OK ] LazyOpsTest.TestPairwiseDistance (66 ms)
2022-11-23T01:57:39.4756673Z [ RUN      ] LazyOpsTest.TestCosineSimilarity
2022-11-23T01:57:39.4801035Z [       OK ] LazyOpsTest.TestCosineSimilarity (4 ms)
2022-11-23T01:57:39.4801394Z [ RUN      ] LazyOpsTest.TestCosineEmbeddingLoss
2022-11-23T01:57:39.5418292Z [       OK ] LazyOpsTest.TestCosineEmbeddingLoss (61 ms)
2022-11-23T01:57:39.5418666Z [ RUN      ] LazyOpsTest.TestHingeEmbeddingLoss
2022-11-23T01:57:39.5454377Z [       OK ] LazyOpsTest.TestHingeEmbeddingLoss (3 ms)
2022-11-23T01:57:39.5454786Z [ RUN      ] LazyOpsTest.TestTripletMarginLoss
2022-11-23T01:57:39.8258053Z [       OK ] LazyOpsTest.TestTripletMarginLoss (280 ms)
2022-11-23T01:57:39.8258458Z [ RUN      ] LazyOpsTest.TestBinaryCrossEntropy
2022-11-23T01:57:39.8276940Z [       OK ] LazyOpsTest.TestBinaryCrossEntropy (1 ms)
2022-11-23T01:57:39.8277288Z [ RUN      ] LazyOpsTest.TestMarginRankingLoss
2022-11-23T01:57:39.8973558Z [       OK ] LazyOpsTest.TestMarginRankingLoss (69 ms)
2022-11-23T01:57:39.8973905Z [ RUN      ] LazyOpsTest.TestBCEWithLogits
2022-11-23T01:57:39.8989415Z [       OK ] LazyOpsTest.TestBCEWithLogits (1 ms)
2022-11-23T01:57:39.8989725Z [ RUN      ] LazyOpsTest.TestKlDiv
2022-11-23T01:57:39.9010256Z [       OK ] LazyOpsTest.TestKlDiv (2 ms)
2022-11-23T01:57:39.9010598Z [ RUN      ] LazyOpsTest.TestProd
2022-11-23T01:57:39.9011563Z [       OK ] LazyOpsTest.TestProd (0 ms)
2022-11-23T01:57:39.9011922Z [ RUN      ] LazyOpsTest.TestProdCast
2022-11-23T01:57:39.9012867Z [       OK ] LazyOpsTest.TestProdCast (0 ms)
2022-11-23T01:57:39.9013177Z [ RUN      ] LazyOpsTest.TestProdInDim
2022-11-23T01:57:39.9017533Z [       OK ] LazyOpsTest.TestProdInDim (0 ms)
2022-11-23T01:57:39.9017913Z [ RUN      ] LazyOpsTest.TestProdInDimKeepCast
2022-11-23T01:57:39.9021687Z [       OK ] LazyOpsTest.TestProdInDimKeepCast (0 ms)
2022-11-23T01:57:39.9022255Z [ RUN      ] LazyOpsTest.TestProdInDimKeep
2022-11-23T01:57:39.9025731Z [       OK ] LazyOpsTest.TestProdInDimKeep (0 ms)
2022-11-23T01:57:39.9026050Z [ RUN      ] LazyOpsTest.TestCumSum
2022-11-23T01:57:39.9039925Z [       OK ] LazyOpsTest.TestCumSum (1 ms)
2022-11-23T01:57:39.9040297Z [ RUN      ] LazyOpsTest.TestCumSumCast
2022-11-23T01:57:39.9054926Z [       OK ] LazyOpsTest.TestCumSumCast (1 ms)
2022-11-23T01:57:39.9055308Z [ RUN      ] LazyOpsTest.TestCumSumLong
2022-11-23T01:57:39.9067289Z [       OK ] LazyOpsTest.TestCumSumLong (1 ms)
2022-11-23T01:57:39.9067746Z [ RUN      ] LazyOpsTest.TestCumSumCastLong
2022-11-23T01:57:39.9079666Z [       OK ] LazyOpsTest.TestCumSumCastLong (1 ms)
2022-11-23T01:57:39.9080053Z [ RUN      ] LazyOpsTest.TestCumProd
2022-11-23T01:57:39.9084160Z [       OK ] LazyOpsTest.TestCumProd (0 ms)
2022-11-23T01:57:39.9084515Z [ RUN      ] LazyOpsTest.TestCumProdCast
2022-11-23T01:57:39.9088407Z [       OK ] LazyOpsTest.TestCumProdCast (0 ms)
2022-11-23T01:57:39.9088753Z [ RUN      ] LazyOpsTest.TestCumProdLong
2022-11-23T01:57:39.9097244Z [       OK ] LazyOpsTest.TestCumProdLong (0 ms)
2022-11-23T01:57:39.9097580Z [ RUN      ] LazyOpsTest.TestCumProdCastLong
2022-11-23T01:57:39.9105819Z [       OK ] LazyOpsTest.TestCumProdCastLong (0 ms)
2022-11-23T01:57:39.9106330Z [ RUN      ] LazyOpsTest.TestArgMin
2022-11-23T01:57:39.9106817Z [       OK ] LazyOpsTest.TestArgMin (0 ms)
2022-11-23T01:57:39.9107160Z [ RUN      ] LazyOpsTest.TestArgMinDim
2022-11-23T01:57:39.9108141Z [       OK ] LazyOpsTest.TestArgMinDim (0 ms)
2022-11-23T01:57:39.9108584Z [ RUN      ] LazyOpsTest.TestArgMinDimKeep
2022-11-23T01:57:39.9109906Z [       OK ] LazyOpsTest.TestArgMinDimKeep (0 ms)
2022-11-23T01:57:39.9110342Z [ RUN      ] LazyOpsTest.TestArgMinSameValue
2022-11-23T01:57:39.9110777Z [       OK ] LazyOpsTest.TestArgMinSameValue (0 ms)
2022-11-23T01:57:39.9111171Z [ RUN      ] LazyOpsTest.TestArgMinWrapper
2022-11-23T01:57:39.9111653Z [       OK ] LazyOpsTest.TestArgMinWrapper (0 ms)
2022-11-23T01:57:39.9111947Z [ RUN      ] LazyOpsTest.TestArgMax
2022-11-23T01:57:39.9112286Z [       OK ] LazyOpsTest.TestArgMax (0 ms)
2022-11-23T01:57:39.9112672Z [ RUN      ] LazyOpsTest.TestArgMaxDim
2022-11-23T01:57:39.9113569Z [       OK ] LazyOpsTest.TestArgMaxDim (0 ms)
2022-11-23T01:57:39.9113951Z [ RUN      ] LazyOpsTest.TestArgMaxDimKeep
2022-11-23T01:57:39.9114926Z [       OK ] LazyOpsTest.TestArgMaxDimKeep (0 ms)
2022-11-23T01:57:39.9115449Z [ RUN      ] LazyOpsTest.TestArgMaxSameValue
2022-11-23T01:57:39.9115855Z [       OK ] LazyOpsTest.TestArgMaxSameValue (0 ms)
2022-11-23T01:57:39.9116242Z [ RUN      ] LazyOpsTest.TestArgMaxWrapper
2022-11-23T01:57:39.9117182Z [       OK ] LazyOpsTest.TestArgMaxWrapper (0 ms)
2022-11-23T01:57:39.9117493Z [ RUN      ] LazyOpsTest.TestAsin
2022-11-23T01:57:39.9118919Z [       OK ] LazyOpsTest.TestAsin (0 ms)
2022-11-23T01:57:39.9119288Z [ RUN      ] LazyOpsTest.TestAsinh
2022-11-23T01:57:39.9120071Z [       OK ] LazyOpsTest.TestAsinh (0 ms)
2022-11-23T01:57:39.9120447Z [ RUN      ] LazyOpsTest.TestAsinhInPlace
2022-11-23T01:57:39.9122136Z [       OK ] LazyOpsTest.TestAsinhInPlace (0 ms)
2022-11-23T01:57:39.9122451Z [ RUN      ] LazyOpsTest.TestSin
2022-11-23T01:57:39.9123655Z [       OK ] LazyOpsTest.TestSin (0 ms)
2022-11-23T01:57:39.9124006Z [ RUN      ] LazyOpsTest.TestSinh
2022-11-23T01:57:39.9125003Z [       OK ] LazyOpsTest.TestSinh (0 ms)
2022-11-23T01:57:39.9125350Z [ RUN      ] LazyOpsTest.TestAcos
2022-11-23T01:57:39.9127018Z [       OK ] LazyOpsTest.TestAcos (0 ms)
2022-11-23T01:57:39.9127480Z [ RUN      ] LazyOpsTest.TestAcosh
2022-11-23T01:57:39.9128003Z [       OK ] LazyOpsTest.TestAcosh (0 ms)
2022-11-23T01:57:39.9128313Z [ RUN      ] LazyOpsTest.TestAcoshInPlace
2022-11-23T01:57:39.9130064Z [       OK ] LazyOpsTest.TestAcoshInPlace (0 ms)
2022-11-23T01:57:39.9130572Z [ RUN      ] LazyOpsTest.TestCos
2022-11-23T01:57:39.9132757Z [       OK ] LazyOpsTest.TestCos (0 ms)
2022-11-23T01:57:39.9133287Z [ RUN      ] LazyOpsTest.TestCosh
2022-11-23T01:57:39.9134226Z [       OK ] LazyOpsTest.TestCosh (0 ms)
2022-11-23T01:57:39.9134920Z [ RUN      ] LazyOpsTest.TestAtan
2022-11-23T01:57:39.9135521Z [       OK ] LazyOpsTest.TestAtan (0 ms)
2022-11-23T01:57:39.9135877Z [ RUN      ] LazyOpsTest.TestAtanh
2022-11-23T01:57:39.9136847Z [       OK ] LazyOpsTest.TestAtanh (0 ms)
2022-11-23T01:57:39.9137161Z [ RUN      ] LazyOpsTest.TestAtanhInPlace
2022-11-23T01:57:39.9138638Z [       OK ] LazyOpsTest.TestAtanhInPlace (0 ms)
2022-11-23T01:57:39.9138927Z [ RUN      ] LazyOpsTest.TestAtan2
2022-11-23T01:57:39.9140371Z [       OK ] LazyOpsTest.TestAtan2 (0 ms)
2022-11-23T01:57:39.9140700Z [ RUN      ] LazyOpsTest.TestTan
2022-11-23T01:57:39.9141536Z [       OK ] LazyOpsTest.TestTan (0 ms)
2022-11-23T01:57:39.9141862Z [ RUN      ] LazyOpsTest.TestTanh
2022-11-23T01:57:39.9144690Z [       OK ] LazyOpsTest.TestTanh (0 ms)
2022-11-23T01:57:39.9144993Z [ RUN      ] LazyOpsTest.TestClampMinMax
2022-11-23T01:57:39.9148096Z [       OK ] LazyOpsTest.TestClampMinMax (0 ms)
2022-11-23T01:57:39.9148416Z [ RUN      ] LazyOpsTest.TestClampMin
2022-11-23T01:57:39.9151383Z [       OK ] LazyOpsTest.TestClampMin (0 ms)
2022-11-23T01:57:39.9151670Z [ RUN      ] LazyOpsTest.TestClampMax
2022-11-23T01:57:39.9154231Z [       OK ] LazyOpsTest.TestClampMax (0 ms)
2022-11-23T01:57:39.9154621Z [ RUN      ] LazyOpsTest.TestClampMinExplicit
2022-11-23T01:57:39.9157452Z [       OK ] LazyOpsTest.TestClampMinExplicit (0 ms)
2022-11-23T01:57:39.9158001Z [ RUN      ] LazyOpsTest.TestClampMaxExplicit
2022-11-23T01:57:39.9158683Z [       OK ] LazyOpsTest.TestClampMaxExplicit (0 ms)
2022-11-23T01:57:39.9159304Z [ RUN      ] LazyOpsTest.TestClampMinExplicitInPlace
2022-11-23T01:57:39.9162311Z [       OK ] LazyOpsTest.TestClampMinExplicitInPlace (0 ms)
2022-11-23T01:57:39.9162922Z [ RUN      ] LazyOpsTest.TestClampMaxExplicitInPlace
2022-11-23T01:57:39.9163923Z [       OK ] LazyOpsTest.TestClampMaxExplicitInPlace (0 ms)
2022-11-23T01:57:39.9164520Z [ RUN      ] LazyOpsTest.TestCeil
2022-11-23T01:57:39.9165074Z [       OK ] LazyOpsTest.TestCeil (0 ms)
2022-11-23T01:57:39.9165609Z [ RUN      ] LazyOpsTest.TestFloor
2022-11-23T01:57:39.9167896Z [       OK ] LazyOpsTest.TestFloor (0 ms)
2022-11-23T01:57:39.9168431Z [ RUN      ] LazyOpsTest.TestRound
2022-11-23T01:57:39.9169478Z [       OK ] LazyOpsTest.TestRound (0 ms)
2022-11-23T01:57:39.9170007Z [ RUN      ] LazyOpsTest.TestTrunc
2022-11-23T01:57:39.9173365Z [       OK ] LazyOpsTest.TestTrunc (0 ms)
2022-11-23T01:57:39.9173842Z [ RUN      ] LazyOpsTest.TestFrac
2022-11-23T01:57:39.9176206Z [       OK ] LazyOpsTest.TestFrac (0 ms)
2022-11-23T01:57:39.9176830Z [ RUN      ] LazyOpsTest.TestNeg
2022-11-23T01:57:39.9179213Z [       OK ] LazyOpsTest.TestNeg (0 ms)
2022-11-23T01:57:39.9179769Z [ RUN      ] LazyOpsTest.TestBitwiseNot
2022-11-23T01:57:39.9181732Z [       OK ] LazyOpsTest.TestBitwiseNot (0 ms)
2022-11-23T01:57:39.9182075Z [ RUN      ] LazyOpsTest.TestBitwiseNotInPlace
2022-11-23T01:57:39.9183759Z [       OK ] LazyOpsTest.TestBitwiseNotInPlace (0 ms)
2022-11-23T01:57:39.9184264Z [ RUN      ] LazyOpsTest.TestSign
2022-11-23T01:57:39.9185005Z [       OK ] LazyOpsTest.TestSign (0 ms)
2022-11-23T01:57:39.9185511Z [ RUN      ] LazyOpsTest.TestSignByte
2022-11-23T01:57:39.9186083Z [       OK ] LazyOpsTest.TestSignByte (0 ms)
2022-11-23T01:57:39.9186434Z [ RUN      ] LazyOpsTest.TestAbs
2022-11-23T01:57:39.9188545Z [       OK ] LazyOpsTest.TestAbs (0 ms)
2022-11-23T01:57:39.9189085Z [ RUN      ] LazyOpsTest.TestAbsByte
2022-11-23T01:57:39.9191047Z [       OK ] LazyOpsTest.TestAbsByte (0 ms)
2022-11-23T01:57:39.9191584Z [ RUN      ] LazyOpsTest.TestEmptyLike
2022-11-23T01:57:39.9192197Z [       OK ] LazyOpsTest.TestEmptyLike (0 ms)
2022-11-23T01:57:39.9192520Z [ RUN      ] LazyOpsTest.TestEmptyLikeOptions
2022-11-23T01:57:39.9192874Z [       OK ] LazyOpsTest.TestEmptyLikeOptions (0 ms)
2022-11-23T01:57:39.9193246Z [ RUN      ] LazyOpsTest.TestEmpty
2022-11-23T01:57:39.9193539Z [       OK ] LazyOpsTest.TestEmpty (0 ms)
2022-11-23T01:57:39.9193965Z [ RUN      ] LazyOpsTest.TestZeroInPlace
2022-11-23T01:57:39.9194470Z [       OK ] LazyOpsTest.TestZeroInPlace (0 ms)
2022-11-23T01:57:39.9194874Z [ RUN      ] LazyOpsTest.TestZerosLike
2022-11-23T01:57:39.9195746Z [       OK ] LazyOpsTest.TestZerosLike (0 ms)
2022-11-23T01:57:39.9196107Z [ RUN      ] LazyOpsTest.TestZerosLikeOptions
2022-11-23T01:57:39.9197263Z [       OK ] LazyOpsTest.TestZerosLikeOptions (0 ms)
2022-11-23T01:57:39.9197558Z [ RUN      ] LazyOpsTest.TestZeros
2022-11-23T01:57:39.9199509Z [       OK ] LazyOpsTest.TestZeros (0 ms)
2022-11-23T01:57:39.9199797Z [ RUN      ] LazyOpsTest.TestOnes
2022-11-23T01:57:39.9203251Z [       OK ] LazyOpsTest.TestOnes (0 ms)
2022-11-23T01:57:39.9203610Z [ RUN      ] LazyOpsTest.TestOnesLike
2022-11-23T01:57:39.9204518Z [       OK ] LazyOpsTest.TestOnesLike (0 ms)
2022-11-23T01:57:39.9205073Z [ RUN      ] LazyOpsTest.TestOnesLikeOptions
2022-11-23T01:57:39.9205685Z [       OK ] LazyOpsTest.TestOnesLikeOptions (0 ms)
2022-11-23T01:57:39.9206042Z [ RUN      ] LazyOpsTest.TestFull
2022-11-23T01:57:39.9209913Z [       OK ] LazyOpsTest.TestFull (0 ms)
2022-11-23T01:57:39.9210411Z [ RUN      ] LazyOpsTest.TestFullLike
2022-11-23T01:57:39.9211179Z [       OK ] LazyOpsTest.TestFullLike (0 ms)
2022-11-23T01:57:39.9211771Z [ RUN      ] LazyOpsTest.TestFullLikeOptions
2022-11-23T01:57:39.9212422Z [       OK ] LazyOpsTest.TestFullLikeOptions (0 ms)
2022-11-23T01:57:39.9219072Z [ RUN      ] LazyOpsTest.TestARange
2022-11-23T01:57:39.9219628Z [       OK ] LazyOpsTest.TestARange (0 ms)
2022-11-23T01:57:39.9220159Z [ RUN      ] LazyOpsTest.TestARangeOut
2022-11-23T01:57:39.9221054Z [W RangeFactories.cpp:216] Warning: The number of elements in the out tensor of shape [4] is 4 which does not match the computed number of elements 200. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (200,). (function operator())
2022-11-23T01:57:39.9221986Z [       OK ] LazyOpsTest.TestARangeOut (0 ms)
2022-11-23T01:57:39.9222436Z [ RUN      ] LazyOpsTest.TestDimARange
2022-11-23T01:57:39.9225249Z [       OK ] LazyOpsTest.TestDimARange (0 ms)
2022-11-23T01:57:39.9225814Z [ RUN      ] LazyOpsTest.TestBartlettWindow
2022-11-23T01:57:39.9249121Z [       OK ] LazyOpsTest.TestBartlettWindow (2 ms)
2022-11-23T01:57:39.9249691Z [ RUN      ] LazyOpsTest.TestBlackmanWindow
2022-11-23T01:57:39.9271297Z [       OK ] LazyOpsTest.TestBlackmanWindow (2 ms)
2022-11-23T01:57:39.9271636Z [ RUN      ] LazyOpsTest.TestHammingWindow
2022-11-23T01:57:39.9287115Z [       OK ] LazyOpsTest.TestHammingWindow (1 ms)
2022-11-23T01:57:39.9287623Z [ RUN      ] LazyOpsTest.TestHannWindow
2022-11-23T01:57:39.9920139Z [       OK ] LazyOpsTest.TestHannWindow (63 ms)
2022-11-23T01:57:39.9920610Z [ RUN      ] LazyOpsTest.TestLogSigmoid
2022-11-23T01:57:39.9924871Z [       OK ] LazyOpsTest.TestLogSigmoid (0 ms)
2022-11-23T01:57:39.9925300Z [ RUN      ] LazyOpsTest.TestLogSigmoidForward
2022-11-23T01:57:39.9930643Z [       OK ] LazyOpsTest.TestLogSigmoidForward (0 ms)
2022-11-23T01:57:39.9931115Z [ RUN      ] LazyOpsTest.TestLogsumexp
2022-11-23T01:57:39.9968217Z [       OK ] LazyOpsTest.TestLogsumexp (3 ms)
2022-11-23T01:57:39.9968733Z [ RUN      ] LazyOpsTest.TestSiLU
2022-11-23T01:57:39.9971264Z [       OK ] LazyOpsTest.TestSiLU (0 ms)
2022-11-23T01:57:39.9971610Z [ RUN      ] LazyOpsTest.TestSigmoid
2022-11-23T01:57:39.9974648Z [       OK ] LazyOpsTest.TestSigmoid (0 ms)
2022-11-23T01:57:39.9974956Z [ RUN      ] LazyOpsTest.TestMatmul_1x1
2022-11-23T01:57:39.9977179Z [       OK ] LazyOpsTest.TestMatmul_1x1 (0 ms)
2022-11-23T01:57:39.9977490Z [ RUN      ] LazyOpsTest.TestMatmul_2x1
2022-11-23T01:57:39.9981001Z [       OK ] LazyOpsTest.TestMatmul_2x1 (0 ms)
2022-11-23T01:57:39.9981304Z [ RUN      ] LazyOpsTest.TestMatmul_1x2
2022-11-23T01:57:39.9986588Z [       OK ] LazyOpsTest.TestMatmul_1x2 (0 ms)
2022-11-23T01:57:39.9986922Z [ RUN      ] LazyOpsTest.TestMatmul_2x2
2022-11-23T01:57:39.9990532Z [       OK ] LazyOpsTest.TestMatmul_2x2 (0 ms)
2022-11-23T01:57:39.9990931Z [ RUN      ] LazyOpsTest.TestMatmulBcast
2022-11-23T01:57:39.9999752Z [       OK ] LazyOpsTest.TestMatmulBcast (0 ms)
2022-11-23T01:57:40.0000118Z [ RUN      ] LazyOpsTest.TestDot
2022-11-23T01:57:40.0001459Z [       OK ] LazyOpsTest.TestDot (0 ms)
2022-11-23T01:57:40.0001871Z [ RUN      ] LazyOpsTest.TestTensorDot
2022-11-23T01:57:40.0010601Z [       OK ] LazyOpsTest.TestTensorDot (0 ms)
2022-11-23T01:57:40.0011049Z [ RUN      ] LazyOpsTest.TestGer
2022-11-23T01:57:40.0015099Z [       OK ] LazyOpsTest.TestGer (0 ms)
2022-11-23T01:57:40.0015518Z [ RUN      ] LazyOpsTest.TestMv
2022-11-23T01:57:40.0019108Z [       OK ] LazyOpsTest.TestMv (0 ms)
2022-11-23T01:57:40.0019526Z [ RUN      ] LazyOpsTest.TestMvOut
2022-11-23T01:57:40.0030063Z [       OK ] LazyOpsTest.TestMvOut (1 ms)
2022-11-23T01:57:40.0030570Z [ RUN      ] LazyOpsTest.TestBatchAddBatchMatMul
2022-11-23T01:57:40.0034617Z [       OK ] LazyOpsTest.TestBatchAddBatchMatMul (0 ms)
2022-11-23T01:57:40.0035197Z [ RUN      ] LazyOpsTest.TestBatchAddBatchMatMulInPlace
2022-11-23T01:57:40.0039298Z [       OK ] LazyOpsTest.TestBatchAddBatchMatMulInPlace (0 ms)
2022-11-23T01:57:40.0039831Z [ RUN      ] LazyOpsTest.TestBatchMatMul
2022-11-23T01:57:40.0042694Z [       OK ] LazyOpsTest.TestBatchMatMul (0 ms)
2022-11-23T01:57:40.0043098Z [ RUN      ] LazyOpsTest.TestChainMatMul
2022-11-23T01:57:40.0043725Z [W LinearAlgebra.cpp:1076] Warning: torch.chain_matmul is deprecated and will be removed in a future PyTorch release. Use torch.linalg.multi_dot instead, which accepts a list of two or more tensors rather than multiple parameters. (function operator())
2022-11-23T01:57:40.0049529Z [       OK ] LazyOpsTest.TestChainMatMul (0 ms)
2022-11-23T01:57:40.0049906Z [ RUN      ] LazyOpsTest.TestLinear
2022-11-23T01:57:40.0058550Z [       OK ] LazyOpsTest.TestLinear (0 ms)
2022-11-23T01:57:40.0058946Z [ RUN      ] LazyOpsTest.TestPinverse
2022-11-23T01:57:40.0077379Z [       OK ] LazyOpsTest.TestPinverse (1 ms)
2022-11-23T01:57:40.0077764Z [ RUN      ] LazyOpsTest.TestEinsumOuter
2022-11-23T01:57:40.0084398Z [       OK ] LazyOpsTest.TestEinsumOuter (0 ms)
2022-11-23T01:57:40.0084921Z [ RUN      ] LazyOpsTest.TestEinsumOuterBackward
2022-11-23T01:57:40.0107382Z [       OK ] LazyOpsTest.TestEinsumOuterBackward (2 ms)
2022-11-23T01:57:40.0107871Z [ RUN      ] LazyOpsTest.TestEinsumBatchMatMul
2022-11-23T01:57:40.0118429Z [       OK ] LazyOpsTest.TestEinsumBatchMatMul (1 ms)
2022-11-23T01:57:40.0118927Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBilinear
2022-11-23T01:57:40.0136341Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBilinear (1 ms)
2022-11-23T01:57:40.0136990Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal
2022-11-23T01:57:40.0141437Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal (0 ms)
2022-11-23T01:57:40.0142160Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal
2022-11-23T01:57:40.0146155Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal (0 ms)
2022-11-23T01:57:40.0146698Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute
2022-11-23T01:57:40.0149849Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute (0 ms)
2022-11-23T01:57:40.0150396Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis
2022-11-23T01:57:40.0159923Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis (0 ms)
2022-11-23T01:57:40.0160378Z [ RUN      ] LazyOpsTest.TestBilinear
2022-11-23T01:57:40.0292396Z [       OK ] LazyOpsTest.TestBilinear (13 ms)
2022-11-23T01:57:40.0292921Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2D
2022-11-23T01:57:40.0297029Z [       OK ] LazyOpsTest.TestUpsampleNearest2D (0 ms)
2022-11-23T01:57:40.0297511Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DBackward
2022-11-23T01:57:40.0307375Z [       OK ] LazyOpsTest.TestUpsampleNearest2DBackward (1 ms)
2022-11-23T01:57:40.0307883Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DWithScale
2022-11-23T01:57:40.0311819Z [       OK ] LazyOpsTest.TestUpsampleNearest2DWithScale (0 ms)
2022-11-23T01:57:40.0312369Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale
2022-11-23T01:57:40.0321697Z [       OK ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale (0 ms)
2022-11-23T01:57:40.0322187Z [ RUN      ] LazyOpsTest.TestUpsampleBilinear2D
2022-11-23T01:57:40.0329195Z [       OK ] LazyOpsTest.TestUpsampleBilinear2D (0 ms)
2022-11-23T01:57:40.0329665Z [ RUN      ] LazyOpsTest.TestUpsampleBilinear2DBackward
2022-11-23T01:57:40.0348135Z [       OK ] LazyOpsTest.TestUpsampleBilinear2DBackward (1 ms)
2022-11-23T01:57:40.0348479Z [ RUN      ] LazyOpsTest.TestAddCMul
2022-11-23T01:57:40.0351652Z [       OK ] LazyOpsTest.TestAddCMul (0 ms)
2022-11-23T01:57:40.0351949Z [ RUN      ] LazyOpsTest.TestAddCDiv
2022-11-23T01:57:40.0355516Z [       OK ] LazyOpsTest.TestAddCDiv (0 ms)
2022-11-23T01:57:40.0355852Z [ RUN      ] LazyOpsTest.TestAddCDivWithBroadcast
2022-11-23T01:57:40.0359485Z [       OK ] LazyOpsTest.TestAddCDivWithBroadcast (0 ms)
2022-11-23T01:57:40.0359851Z [ RUN      ] LazyOpsTest.TestSize
2022-11-23T01:57:40.0360124Z [       OK ] LazyOpsTest.TestSize (0 ms)
2022-11-23T01:57:40.0360406Z [ RUN      ] LazyOpsTest.TestSelect
2022-11-23T01:57:40.0440862Z [       OK ] LazyOpsTest.TestSelect (8 ms)
2022-11-23T01:57:40.0441198Z [ RUN      ] LazyOpsTest.TestBernoulliScalarProb
2022-11-23T01:57:40.0446014Z [       OK ] LazyOpsTest.TestBernoulliScalarProb (0 ms)
2022-11-23T01:57:40.0446482Z [ RUN      ] LazyOpsTest.TestBernoulliTensorProb
2022-11-23T01:57:40.0449490Z [       OK ] LazyOpsTest.TestBernoulliTensorProb (0 ms)
2022-11-23T01:57:40.0449962Z [ RUN      ] LazyOpsTest.TestBernoulliScalarProbInPlace
2022-11-23T01:57:40.0453512Z [       OK ] LazyOpsTest.TestBernoulliScalarProbInPlace (0 ms)
2022-11-23T01:57:40.0454020Z [ RUN      ] LazyOpsTest.TestBernoulliTensorProbInPlace
2022-11-23T01:57:40.0463790Z [       OK ] LazyOpsTest.TestBernoulliTensorProbInPlace (0 ms)
2022-11-23T01:57:40.0464224Z [ RUN      ] LazyOpsTest.TestDropout
2022-11-23T01:57:40.0470385Z [       OK ] LazyOpsTest.TestDropout (0 ms)
2022-11-23T01:57:40.0470801Z [ RUN      ] LazyOpsTest.TestDropoutInPlace
2022-11-23T01:57:40.0476081Z [       OK ] LazyOpsTest.TestDropoutInPlace (0 ms)
2022-11-23T01:57:40.0476499Z [ RUN      ] LazyOpsTest.TestRandperm
2022-11-23T01:57:40.0478565Z [       OK ] LazyOpsTest.TestRandperm (0 ms)
2022-11-23T01:57:40.0478958Z [ RUN      ] LazyOpsTest.TestSlice
2022-11-23T01:57:40.0487723Z [       OK ] LazyOpsTest.TestSlice (0 ms)
2022-11-23T01:57:40.0488225Z [ RUN      ] LazyOpsTest.TestTake
2022-11-23T01:57:40.0489309Z [       OK ] LazyOpsTest.TestTake (0 ms)
2022-11-23T01:57:40.0489807Z [ RUN      ] LazyOpsTest.TestTakeBackward
2022-11-23T01:57:40.0500053Z [       OK ] LazyOpsTest.TestTakeBackward (1 ms)
2022-11-23T01:57:40.0500390Z [ RUN      ] LazyOpsTest.TestStack
2022-11-23T01:57:40.0523884Z [       OK ] LazyOpsTest.TestStack (2 ms)
2022-11-23T01:57:40.0524177Z [ RUN      ] LazyOpsTest.TestCat
2022-11-23T01:57:40.0531122Z [       OK ] LazyOpsTest.TestCat (0 ms)
2022-11-23T01:57:40.0531461Z [ RUN      ] LazyOpsTest.TestUnbind
2022-11-23T01:57:40.0543755Z [       OK ] LazyOpsTest.TestUnbind (1 ms)
2022-11-23T01:57:40.0544125Z [ RUN      ] LazyOpsTest.TestRepeat
2022-11-23T01:57:40.0554768Z [       OK ] LazyOpsTest.TestRepeat (1 ms)
2022-11-23T01:57:40.0555058Z [ RUN      ] LazyOpsTest.TestGather
2022-11-23T01:57:40.0561328Z [       OK ] LazyOpsTest.TestGather (0 ms)
2022-11-23T01:57:40.0561659Z [ RUN      ] LazyOpsTest.TestScatter
2022-11-23T01:57:40.0564592Z [       OK ] LazyOpsTest.TestScatter (0 ms)
2022-11-23T01:57:40.0564946Z [ RUN      ] LazyOpsTest.TestScatterR1
2022-11-23T01:57:40.0566272Z [       OK ] LazyOpsTest.TestScatterR1 (0 ms)
2022-11-23T01:57:40.0566576Z [ RUN      ] LazyOpsTest.TestScatterR3
2022-11-23T01:57:40.0568442Z [       OK ] LazyOpsTest.TestScatterR3 (0 ms)
2022-11-23T01:57:40.0568773Z [ RUN      ] LazyOpsTest.TestScatterBiggerSource
2022-11-23T01:57:40.0571306Z [       OK ] LazyOpsTest.TestScatterBiggerSource (0 ms)
2022-11-23T01:57:40.0571638Z [ RUN      ] LazyOpsTest.TestScatterScalar
2022-11-23T01:57:40.0574318Z [       OK ] LazyOpsTest.TestScatterScalar (0 ms)
2022-11-23T01:57:40.0574860Z [ RUN      ] LazyOpsTest.TestScatterReduceAdd
2022-11-23T01:57:40.0577476Z [       OK ] LazyOpsTest.TestScatterReduceAdd (0 ms)
2022-11-23T01:57:40.0578022Z [ RUN      ] LazyOpsTest.TestScatterAdd
2022-11-23T01:57:40.0584352Z [       OK ] LazyOpsTest.TestScatterAdd (0 ms)
2022-11-23T01:57:40.0584946Z [ RUN      ] LazyOpsTest.TestScatterAddInPlace
2022-11-23T01:57:40.0600043Z [       OK ] LazyOpsTest.TestScatterAddInPlace (1 ms)
2022-11-23T01:57:40.0600662Z [ RUN      ] LazyOpsTest.TestIndexSelect
2022-11-23T01:57:40.0687617Z [       OK ] LazyOpsTest.TestIndexSelect (8 ms)
2022-11-23T01:57:40.0687969Z [ RUN      ] LazyOpsTest.TestIndexSelectRank0
2022-11-23T01:57:40.0710185Z [       OK ] LazyOpsTest.TestIndexSelectRank0 (2 ms)
2022-11-23T01:57:40.0710506Z [ RUN      ] LazyOpsTest.TestInverse
2022-11-23T01:57:40.0715131Z [       OK ] LazyOpsTest.TestInverse (0 ms)
2022-11-23T01:57:40.0715559Z [ RUN      ] LazyOpsTest.TestIsnan
2022-11-23T01:57:40.0715857Z [       OK ] LazyOpsTest.TestIsnan (0 ms)
2022-11-23T01:57:40.0716145Z [ RUN      ] LazyOpsTest.TestExpand
2022-11-23T01:57:40.0719201Z [       OK ] LazyOpsTest.TestExpand (0 ms)
2022-11-23T01:57:40.0719519Z [ RUN      ] LazyOpsTest.TestExpandBack
2022-11-23T01:57:40.0722527Z [       OK ] LazyOpsTest.TestExpandBack (0 ms)
2022-11-23T01:57:40.0722845Z [ RUN      ] LazyOpsTest.TestExpandAs
2022-11-23T01:57:40.0726130Z [       OK ] LazyOpsTest.TestExpandAs (0 ms)
2022-11-23T01:57:40.0726586Z [ RUN      ] LazyOpsTest.TestEye
2022-11-23T01:57:40.0727218Z [       OK ] LazyOpsTest.TestEye (0 ms)
2022-11-23T01:57:40.0727647Z [ RUN      ] LazyOpsTest.TestEyeWide
2022-11-23T01:57:40.0728244Z [       OK ] LazyOpsTest.TestEyeWide (0 ms)
2022-11-23T01:57:40.0728689Z [ RUN      ] LazyOpsTest.TestEyeNarrow
2022-11-23T01:57:40.0729229Z [       OK ] LazyOpsTest.TestEyeNarrow (0 ms)
2022-11-23T01:57:40.0729553Z [ RUN      ] LazyOpsTest.TestBroadcastTensors
2022-11-23T01:57:40.0735853Z [       OK ] LazyOpsTest.TestBroadcastTensors (0 ms)
2022-11-23T01:57:40.0736301Z [ RUN      ] LazyOpsTest.TestOneIndex
2022-11-23T01:57:40.0749825Z [       OK ] LazyOpsTest.TestOneIndex (1 ms)
2022-11-23T01:57:40.0750258Z [ RUN      ] LazyOpsTest.TestOneIndexTransfer
2022-11-23T01:57:40.0760520Z [       OK ] LazyOpsTest.TestOneIndexTransfer (1 ms)
2022-11-23T01:57:40.0760912Z [ RUN      ] LazyOpsTest.TestNonzero
2022-11-23T01:57:40.0762589Z [       OK ] LazyOpsTest.TestNonzero (0 ms)
2022-11-23T01:57:40.0762984Z [ RUN      ] LazyOpsTest.TestMaskedSelect
2022-11-23T01:57:40.0764569Z [       OK ] LazyOpsTest.TestMaskedSelect (0 ms)
2022-11-23T01:57:40.0764977Z [ RUN      ] LazyOpsTest.TestMaskedScatter
2022-11-23T01:57:40.0767478Z [       OK ] LazyOpsTest.TestMaskedScatter (0 ms)
2022-11-23T01:57:40.0767904Z [ RUN      ] LazyOpsTest.TestMultiIndexHeadNull
2022-11-23T01:57:40.0776990Z [       OK ] LazyOpsTest.TestMultiIndexHeadNull (0 ms)
2022-11-23T01:57:40.0777499Z [ RUN      ] LazyOpsTest.TestMultiIndexMiddleNull
2022-11-23T01:57:40.0784933Z [       OK ] LazyOpsTest.TestMultiIndexMiddleNull (0 ms)
2022-11-23T01:57:40.0785399Z [ RUN      ] LazyOpsTest.TestMultiIndexTailNull
2022-11-23T01:57:40.0794877Z [       OK ] LazyOpsTest.TestMultiIndexTailNull (0 ms)
2022-11-23T01:57:40.0795374Z [ RUN      ] LazyOpsTest.TestMultiIndexMiddleBroadcast
2022-11-23T01:57:40.0802827Z [       OK ] LazyOpsTest.TestMultiIndexMiddleBroadcast (0 ms)
2022-11-23T01:57:40.0803335Z [ RUN      ] LazyOpsTest.TestMultiIndexTailBroadcast
2022-11-23T01:57:40.0810607Z [       OK ] LazyOpsTest.TestMultiIndexTailBroadcast (0 ms)
2022-11-23T01:57:40.0811399Z [ RUN      ] LazyOpsTest.TestMaskIndex
2022-11-23T01:57:40.0815062Z [       OK ] LazyOpsTest.TestMaskIndex (0 ms)
2022-11-23T01:57:40.0815601Z [ RUN      ] LazyOpsTest.TestOneIndexPut
2022-11-23T01:57:40.0843760Z [       OK ] LazyOpsTest.TestOneIndexPut (2 ms)
2022-11-23T01:57:40.0844383Z [ RUN      ] LazyOpsTest.TestOneIndexPutInPlace
2022-11-23T01:57:40.0866200Z [       OK ] LazyOpsTest.TestOneIndexPutInPlace (2 ms)
2022-11-23T01:57:40.0866704Z [ RUN      ] LazyOpsTest.TestOneIndexPutTransfer
2022-11-23T01:57:40.0882814Z [       OK ] LazyOpsTest.TestOneIndexPutTransfer (1 ms)
2022-11-23T01:57:40.0883345Z [ RUN      ] LazyOpsTest.TestMultiIndexPut
2022-11-23T01:57:40.0900905Z [       OK ] LazyOpsTest.TestMultiIndexPut (1 ms)
2022-11-23T01:57:40.0901372Z [ RUN      ] LazyOpsTest.TestMultiIndexPutHeadNull
2022-11-23T01:57:40.0927851Z [       OK ] LazyOpsTest.TestMultiIndexPutHeadNull (2 ms)
2022-11-23T01:57:40.0928333Z [ RUN      ] LazyOpsTest.TestMultiIndexPutMiddleNull
2022-11-23T01:57:40.0945635Z [       OK ] LazyOpsTest.TestMultiIndexPutMiddleNull (1 ms)
2022-11-23T01:57:40.0946206Z [ RUN      ] LazyOpsTest.TestMultiIndexPutTailNull
2022-11-23T01:57:40.0962373Z [       OK ] LazyOpsTest.TestMultiIndexPutTailNull (1 ms)
2022-11-23T01:57:40.0963042Z [ RUN      ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast
2022-11-23T01:57:40.0982139Z [       OK ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast (1 ms)
2022-11-23T01:57:40.0982682Z [ RUN      ] LazyOpsTest.TestMultiIndexPutTailBroadcast
2022-11-23T01:57:40.1000648Z [       OK ] LazyOpsTest.TestMultiIndexPutTailBroadcast (1 ms)
2022-11-23T01:57:40.1001110Z [ RUN      ] LazyOpsTest.TestMaskIndexPut
2022-11-23T01:57:40.1021456Z [       OK ] LazyOpsTest.TestMaskIndexPut (2 ms)
2022-11-23T01:57:40.1021880Z [ RUN      ] LazyOpsTest.TestIndexPutImpl
2022-11-23T01:57:40.1045136Z [       OK ] LazyOpsTest.TestIndexPutImpl (2 ms)
2022-11-23T01:57:40.1045577Z [ RUN      ] LazyOpsTest.TestIndexFillWithScalar
2022-11-23T01:57:40.1077497Z [       OK ] LazyOpsTest.TestIndexFillWithScalar (3 ms)
2022-11-23T01:57:40.1077972Z [ RUN      ] LazyOpsTest.TestIndexFillWithScalarInPlace
2022-11-23T01:57:40.1106187Z [       OK ] LazyOpsTest.TestIndexFillWithScalarInPlace (2 ms)
2022-11-23T01:57:40.1106573Z [ RUN      ] LazyOpsTest.TestIndexFillWithTensor
2022-11-23T01:57:40.1133593Z [       OK ] LazyOpsTest.TestIndexFillWithTensor (2 ms)
2022-11-23T01:57:40.1133955Z [ RUN      ] LazyOpsTest.TestIndexFillWithTensorInPlace
2022-11-23T01:57:40.1166338Z [       OK ] LazyOpsTest.TestIndexFillWithTensorInPlace (3 ms)
2022-11-23T01:57:40.1166697Z [ RUN      ] LazyOpsTest.TestIndexFillRank0
2022-11-23T01:57:40.1193457Z [       OK ] LazyOpsTest.TestIndexFillRank0 (2 ms)
2022-11-23T01:57:40.1193763Z [ RUN      ] LazyOpsTest.TestIndexAdd
2022-11-23T01:57:40.1266532Z [       OK ] LazyOpsTest.TestIndexAdd (7 ms)
2022-11-23T01:57:40.1266856Z [ RUN      ] LazyOpsTest.TestIndexAddInPlace
2022-11-23T01:57:40.1320319Z [       OK ] LazyOpsTest.TestIndexAddInPlace (5 ms)
2022-11-23T01:57:40.1320667Z [ RUN      ] LazyOpsTest.TestIndexAddRank0
2022-11-23T01:57:40.1342530Z [       OK ] LazyOpsTest.TestIndexAddRank0 (2 ms)
2022-11-23T01:57:40.1342843Z [ RUN      ] LazyOpsTest.TestIndexCopy
2022-11-23T01:57:40.1365758Z [       OK ] LazyOpsTest.TestIndexCopy (2 ms)
2022-11-23T01:57:40.1366086Z [ RUN      ] LazyOpsTest.TestIndexCopyInPlace
2022-11-23T01:57:40.1394492Z [       OK ] LazyOpsTest.TestIndexCopyInPlace (2 ms)
2022-11-23T01:57:40.1394883Z [ RUN      ] LazyOpsTest.TestIndexCopyRank0
2022-11-23T01:57:40.1415913Z [       OK ] LazyOpsTest.TestIndexCopyRank0 (2 ms)
2022-11-23T01:57:40.1416222Z [ RUN      ] LazyOpsTest.TestRelu
2022-11-23T01:57:40.1419298Z [       OK ] LazyOpsTest.TestRelu (0 ms)
2022-11-23T01:57:40.1419587Z [ RUN      ] LazyOpsTest.TestReluInPlace
2022-11-23T01:57:40.1423214Z [       OK ] LazyOpsTest.TestReluInPlace (0 ms)
2022-11-23T01:57:40.1423541Z [ RUN      ] LazyOpsTest.TestHardshrink
2022-11-23T01:57:40.1424776Z [       OK ] LazyOpsTest.TestHardshrink (0 ms)
2022-11-23T01:57:40.1425094Z [ RUN      ] LazyOpsTest.TestHardSigmoid
2022-11-23T01:57:40.1427812Z [       OK ] LazyOpsTest.TestHardSigmoid (0 ms)
2022-11-23T01:57:40.1428149Z [ RUN      ] LazyOpsTest.TestHardSigmoidInPlace
2022-11-23T01:57:40.1431769Z [       OK ] LazyOpsTest.TestHardSigmoidInPlace (0 ms)
2022-11-23T01:57:40.1432124Z [ RUN      ] LazyOpsTest.TestHardSigmoidBackward
2022-11-23T01:57:40.1441630Z [       OK ] LazyOpsTest.TestHardSigmoidBackward (0 ms)
2022-11-23T01:57:40.1442055Z [ RUN      ] LazyOpsTest.TestSoftshrink
2022-11-23T01:57:40.1442791Z [       OK ] LazyOpsTest.TestSoftshrink (0 ms)
2022-11-23T01:57:40.1443155Z [ RUN      ] LazyOpsTest.TestHardtanh
2022-11-23T01:57:40.1444753Z [       OK ] LazyOpsTest.TestHardtanh (0 ms)
2022-11-23T01:57:40.1445392Z [ RUN      ] LazyOpsTest.TestHardtanhInPlace
2022-11-23T01:57:40.1445995Z [       OK ] LazyOpsTest.TestHardtanhInPlace (0 ms)
2022-11-23T01:57:40.1446319Z [ RUN      ] LazyOpsTest.TestLeakyRelu
2022-11-23T01:57:40.1448835Z [       OK ] LazyOpsTest.TestLeakyRelu (0 ms)
2022-11-23T01:57:40.1449231Z [ RUN      ] LazyOpsTest.TestLeakyReluInPlace
2022-11-23T01:57:40.1452450Z [       OK ] LazyOpsTest.TestLeakyReluInPlace (0 ms)
2022-11-23T01:57:40.1452826Z [ RUN      ] LazyOpsTest.TestExp
2022-11-23T01:57:40.1455333Z [       OK ] LazyOpsTest.TestExp (0 ms)
2022-11-23T01:57:40.1455671Z [ RUN      ] LazyOpsTest.TestExpm1
2022-11-23T01:57:40.1456900Z [       OK ] LazyOpsTest.TestExpm1 (0 ms)
2022-11-23T01:57:40.1457224Z [ RUN      ] LazyOpsTest.TestLog
2022-11-23T01:57:40.1460112Z [       OK ] LazyOpsTest.TestLog (0 ms)
2022-11-23T01:57:40.1460458Z [ RUN      ] LazyOpsTest.TestLog2
2022-11-23T01:57:40.1463435Z [       OK ] LazyOpsTest.TestLog2 (0 ms)
2022-11-23T01:57:40.1463765Z [ RUN      ] LazyOpsTest.TestLog10
2022-11-23T01:57:40.1464860Z [       OK ] LazyOpsTest.TestLog10 (0 ms)
2022-11-23T01:57:40.1465219Z [ RUN      ] LazyOpsTest.TestLog1p
2022-11-23T01:57:40.1466169Z [       OK ] LazyOpsTest.TestLog1p (0 ms)
2022-11-23T01:57:40.1466551Z [ RUN      ] LazyOpsTest.TestErf
2022-11-23T01:57:40.1467487Z [       OK ] LazyOpsTest.TestErf (0 ms)
2022-11-23T01:57:40.1467845Z [ RUN      ] LazyOpsTest.TestErfc
2022-11-23T01:57:40.1469991Z [       OK ] LazyOpsTest.TestErfc (0 ms)
2022-11-23T01:57:40.1470546Z [ RUN      ] LazyOpsTest.TestErfinv
2022-11-23T01:57:40.1471035Z [       OK ] LazyOpsTest.TestErfinv (0 ms)
2022-11-23T01:57:40.1471310Z [ RUN      ] LazyOpsTest.TestSqrt
2022-11-23T01:57:40.1473323Z [       OK ] LazyOpsTest.TestSqrt (0 ms)
2022-11-23T01:57:40.1473869Z [ RUN      ] LazyOpsTest.TestRsqrt
2022-11-23T01:57:40.1476562Z [       OK ] LazyOpsTest.TestRsqrt (0 ms)
2022-11-23T01:57:40.1477101Z [ RUN      ] LazyOpsTest.TestReciprocal
2022-11-23T01:57:40.1479596Z [       OK ] LazyOpsTest.TestReciprocal (0 ms)
2022-11-23T01:57:40.1480193Z [ RUN      ] LazyOpsTest.TestPowTensorScalar
2022-11-23T01:57:40.1482592Z [       OK ] LazyOpsTest.TestPowTensorScalar (0 ms)
2022-11-23T01:57:40.1483221Z [ RUN      ] LazyOpsTest.TestPowTensorScalarInPlace
2022-11-23T01:57:40.1486355Z [       OK ] LazyOpsTest.TestPowTensorScalarInPlace (0 ms)
2022-11-23T01:57:40.1486962Z [ RUN      ] LazyOpsTest.TestPowTensorTensor
2022-11-23T01:57:40.1489702Z [       OK ] LazyOpsTest.TestPowTensorTensor (0 ms)
2022-11-23T01:57:40.1490362Z [ RUN      ] LazyOpsTest.TestPowTensorTensorInPlace
2022-11-23T01:57:40.1500622Z [       OK ] LazyOpsTest.TestPowTensorTensorInPlace (1 ms)
2022-11-23T01:57:40.1501222Z [ RUN      ] LazyOpsTest.TestPowTensorTensorBroadcast
2022-11-23T01:57:40.1503746Z [       OK ] LazyOpsTest.TestPowTensorTensorBroadcast (0 ms)
2022-11-23T01:57:40.1504333Z [ RUN      ] LazyOpsTest.TestPowScalarTensor
2022-11-23T01:57:40.1504911Z [       OK ] LazyOpsTest.TestPowScalarTensor (0 ms)
2022-11-23T01:57:40.1505497Z [ RUN      ] LazyOpsTest.TestPowIntExponent
2022-11-23T01:57:40.1508060Z [       OK ] LazyOpsTest.TestPowIntExponent (0 ms)
2022-11-23T01:57:40.1508573Z [ RUN      ] LazyOpsTest.TestFmodScalar
2022-11-23T01:57:40.1509332Z [       OK ] LazyOpsTest.TestFmodScalar (0 ms)
2022-11-23T01:57:40.1509925Z [ RUN      ] LazyOpsTest.TestFmodScalarInPlace
2022-11-23T01:57:40.1511250Z [       OK ] LazyOpsTest.TestFmodScalarInPlace (0 ms)
2022-11-23T01:57:40.1511843Z [ RUN      ] LazyOpsTest.TestFmodTensor
2022-11-23T01:57:40.1512471Z [       OK ] LazyOpsTest.TestFmodTensor (0 ms)
2022-11-23T01:57:40.1513206Z [ RUN      ] LazyOpsTest.TestFmodTensorInPlace
2022-11-23T01:57:40.1522962Z [       OK ] LazyOpsTest.TestFmodTensorInPlace (1 ms)
2022-11-23T01:57:40.1523313Z [ RUN      ] LazyOpsTest.TestRemainderScalar
2022-11-23T01:57:40.1526004Z [       OK ] LazyOpsTest.TestRemainderScalar (0 ms)
2022-11-23T01:57:40.1526422Z [ RUN      ] LazyOpsTest.TestRemainderScalarInPlace
2022-11-23T01:57:40.1530220Z [       OK ] LazyOpsTest.TestRemainderScalarInPlace (0 ms)
2022-11-23T01:57:40.1530639Z [ RUN      ] LazyOpsTest.TestRemainderTensor
2022-11-23T01:57:40.1533309Z [       OK ] LazyOpsTest.TestRemainderTensor (0 ms)
2022-11-23T01:57:40.1533735Z [ RUN      ] LazyOpsTest.TestRemainderTensorInPlace
2022-11-23T01:57:40.1537905Z [       OK ] LazyOpsTest.TestRemainderTensorInPlace (0 ms)
2022-11-23T01:57:40.1538348Z [ RUN      ] LazyOpsTest.TestWhere
2022-11-23T01:57:40.1538791Z [W TensorCompare.cpp:491] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator())
2022-11-23T01:57:40.1540280Z [       OK ] LazyOpsTest.TestWhere (0 ms)
2022-11-23T01:57:40.1540592Z [ RUN      ] LazyOpsTest.TestWhereBroadcast
2022-11-23T01:57:40.1541664Z [       OK ] LazyOpsTest.TestWhereBroadcast (0 ms)
2022-11-23T01:57:40.1541979Z [ RUN      ] LazyOpsTest.TestThreshold
2022-11-23T01:57:40.1545223Z [       OK ] LazyOpsTest.TestThreshold (0 ms)
2022-11-23T01:57:40.1545597Z [ RUN      ] LazyOpsTest.TestThresholdBackward
2022-11-23T01:57:40.1554302Z [       OK ] LazyOpsTest.TestThresholdBackward (0 ms)
2022-11-23T01:57:40.1554773Z [ RUN      ] LazyOpsTest.TestThresholdInPlace
2022-11-23T01:57:40.1558095Z [       OK ] LazyOpsTest.TestThresholdInPlace (0 ms)
2022-11-23T01:57:40.1558441Z [ RUN      ] LazyOpsTest.TestElu
2022-11-23T01:57:40.1561360Z [       OK ] LazyOpsTest.TestElu (0 ms)
2022-11-23T01:57:40.1561676Z [ RUN      ] LazyOpsTest.TestEluInPlace
2022-11-23T01:57:40.1565376Z [       OK ] LazyOpsTest.TestEluInPlace (0 ms)
2022-11-23T01:57:40.1565699Z [ RUN      ] LazyOpsTest.TestSelu
2022-11-23T01:57:40.1568470Z [       OK ] LazyOpsTest.TestSelu (0 ms)
2022-11-23T01:57:40.1568769Z [ RUN      ] LazyOpsTest.TestSeluInPlace
2022-11-23T01:57:40.1572411Z [       OK ] LazyOpsTest.TestSeluInPlace (0 ms)
2022-11-23T01:57:40.1572741Z [ RUN      ] LazyOpsTest.TestCelu
2022-11-23T01:57:40.1573980Z [       OK ] LazyOpsTest.TestCelu (0 ms)
2022-11-23T01:57:40.1574260Z [ RUN      ] LazyOpsTest.TestCeluInPlace
2022-11-23T01:57:40.1576249Z [       OK ] LazyOpsTest.TestCeluInPlace (0 ms)
2022-11-23T01:57:40.1576721Z [ RUN      ] LazyOpsTest.TestGelu
2022-11-23T01:57:40.1584755Z [       OK ] LazyOpsTest.TestGelu (0 ms)
2022-11-23T01:57:40.1585136Z [ RUN      ] LazyOpsTest.TestAddMatMul
2022-11-23T01:57:40.1603185Z [       OK ] LazyOpsTest.TestAddMatMul (1 ms)
2022-11-23T01:57:40.1603708Z [ RUN      ] LazyOpsTest.TestEmbedding
2022-11-23T01:57:40.1607980Z [       OK ] LazyOpsTest.TestEmbedding (0 ms)
2022-11-23T01:57:40.1608371Z [ RUN      ] LazyOpsTest.TestOneHot
2022-11-23T01:57:40.1615196Z [       OK ] LazyOpsTest.TestOneHot (0 ms)
2022-11-23T01:57:40.1615605Z [ RUN      ] LazyOpsTest.TestTranspose
2022-11-23T01:57:40.1618469Z [       OK ] LazyOpsTest.TestTranspose (0 ms)
2022-11-23T01:57:40.1618887Z [ RUN      ] LazyOpsTest.TestTransposeInPlace
2022-11-23T01:57:40.1622769Z [       OK ] LazyOpsTest.TestTransposeInPlace (0 ms)
2022-11-23T01:57:40.1623206Z [ RUN      ] LazyOpsTest.TestReshape
2022-11-23T01:57:40.1629485Z [       OK ] LazyOpsTest.TestReshape (0 ms)
2022-11-23T01:57:40.1630120Z [ RUN      ] LazyOpsTest.TestResize
2022-11-23T01:57:40.1634773Z [       OK ] LazyOpsTest.TestResize (0 ms)
2022-11-23T01:57:40.1635289Z [ RUN      ] LazyOpsTest.TestViewResize
2022-11-23T01:57:40.1641674Z [       OK ] LazyOpsTest.TestViewResize (0 ms)
2022-11-23T01:57:40.1642232Z [ RUN      ] LazyOpsTest.TestView
2022-11-23T01:57:40.1648231Z [       OK ] LazyOpsTest.TestView (0 ms)
2022-11-23T01:57:40.1648527Z [ RUN      ] LazyOpsTest.TestViewMod
2022-11-23T01:57:40.1665328Z [       OK ] LazyOpsTest.TestViewMod (1 ms)
2022-11-23T01:57:40.1665658Z [ RUN      ] LazyOpsTest.TestViewModComplex
2022-11-23T01:57:40.1681693Z [       OK ] LazyOpsTest.TestViewModComplex (1 ms)
2022-11-23T01:57:40.1682030Z [ RUN      ] LazyOpsTest.TestViewOfViewMod
2022-11-23T01:57:40.1700817Z [       OK ] LazyOpsTest.TestViewOfViewMod (1 ms)
2022-11-23T01:57:40.1701237Z [ RUN      ] LazyOpsTest.TestViewSqueezeAddInPlace
2022-11-23T01:57:40.1708528Z [       OK ] LazyOpsTest.TestViewSqueezeAddInPlace (0 ms)
2022-11-23T01:57:40.1708913Z [ RUN      ] LazyOpsTest.TestUnsafeView
2022-11-23T01:57:40.1714920Z [       OK ] LazyOpsTest.TestUnsafeView (0 ms)
2022-11-23T01:57:40.1715281Z [ RUN      ] LazyOpsTest.TestNarrow
2022-11-23T01:57:40.1730183Z [       OK ] LazyOpsTest.TestNarrow (1 ms)
2022-11-23T01:57:40.1730525Z [ RUN      ] LazyOpsTest.TestNarrowUpdate
2022-11-23T01:57:40.1749522Z [       OK ] LazyOpsTest.TestNarrowUpdate (1 ms)
2022-11-23T01:57:40.1749920Z [ RUN      ] LazyOpsTest.TestNarrowUpdateBaseCheck
2022-11-23T01:57:40.1772369Z [       OK ] LazyOpsTest.TestNarrowUpdateBaseCheck (2 ms)
2022-11-23T01:57:40.1772795Z [ RUN      ] LazyOpsTest.TestNarrowUpdateTwoSlices
2022-11-23T01:57:40.1879979Z [       OK ] LazyOpsTest.TestNarrowUpdateTwoSlices (10 ms)
2022-11-23T01:57:40.1880410Z [ RUN      ] LazyOpsTest.TestNarrowUpdateView
2022-11-23T01:57:40.1902909Z [       OK ] LazyOpsTest.TestNarrowUpdateView (2 ms)
2022-11-23T01:57:40.1903330Z [ RUN      ] LazyOpsTest.TestNarrowInNarrowUpdate
2022-11-23T01:57:40.1943601Z [       OK ] LazyOpsTest.TestNarrowInNarrowUpdate (4 ms)
2022-11-23T01:57:40.1943932Z [ RUN      ] LazyOpsTest.TestNarrowCopy
2022-11-23T01:57:40.1951147Z [       OK ] LazyOpsTest.TestNarrowCopy (0 ms)
2022-11-23T01:57:40.1951450Z [ RUN      ] LazyOpsTest.TestViewAs
2022-11-23T01:57:40.1959924Z [       OK ] LazyOpsTest.TestViewAs (0 ms)
2022-11-23T01:57:40.1960260Z [ RUN      ] LazyOpsTest.TestLogSoftmax
2022-11-23T01:57:40.1980183Z [       OK ] LazyOpsTest.TestLogSoftmax (1 ms)
2022-11-23T01:57:40.1980607Z [ RUN      ] LazyOpsTest.TestLogSoftmaxCast
2022-11-23T01:57:40.2007948Z [       OK ] LazyOpsTest.TestLogSoftmaxCast (2 ms)
2022-11-23T01:57:40.2008402Z [ RUN      ] LazyOpsTest.TestLogSoftmaxWrapper
2022-11-23T01:57:40.2028221Z [       OK ] LazyOpsTest.TestLogSoftmaxWrapper (1 ms)
2022-11-23T01:57:40.2028621Z [ RUN      ] LazyOpsTest.TestSoftmax
2022-11-23T01:57:40.2047821Z [       OK ] LazyOpsTest.TestSoftmax (1 ms)
2022-11-23T01:57:40.2048215Z [ RUN      ] LazyOpsTest.TestSoftmaxCast
2022-11-23T01:57:40.2077830Z [       OK ] LazyOpsTest.TestSoftmaxCast (2 ms)
2022-11-23T01:57:40.2078174Z [ RUN      ] LazyOpsTest.TestSoftmaxWrapper
2022-11-23T01:57:40.2099321Z [       OK ] LazyOpsTest.TestSoftmaxWrapper (2 ms)
2022-11-23T01:57:40.2099644Z [ RUN      ] LazyOpsTest.TestSoftplus
2022-11-23T01:57:40.2102705Z [       OK ] LazyOpsTest.TestSoftplus (0 ms)
2022-11-23T01:57:40.2103056Z [ RUN      ] LazyOpsTest.TestMaxPool1D
2022-11-23T01:57:40.2201611Z [       OK ] LazyOpsTest.TestMaxPool1D (9 ms)
2022-11-23T01:57:40.2202161Z [ RUN      ] LazyOpsTest.TestMaxPool2D
2022-11-23T01:57:40.2268517Z [       OK ] LazyOpsTest.TestMaxPool2D (6 ms)
2022-11-23T01:57:40.2268875Z [ RUN      ] LazyOpsTest.TestMaxPool2DWithIndices
2022-11-23T01:57:40.2411879Z [       OK ] LazyOpsTest.TestMaxPool2DWithIndices (14 ms)
2022-11-23T01:57:40.2412249Z [ RUN      ] LazyOpsTest.TestMaxPool2DNonSquare
2022-11-23T01:57:40.2479107Z [       OK ] LazyOpsTest.TestMaxPool2DNonSquare (6 ms)
2022-11-23T01:57:40.2479562Z [ RUN      ] LazyOpsTest.TestMaxPool3D
2022-11-23T01:57:40.2499439Z [       OK ] LazyOpsTest.TestMaxPool3D (2 ms)
2022-11-23T01:57:40.2500086Z [ RUN      ] LazyOpsTest.TestMaxPool3DWithIndices
2022-11-23T01:57:40.2525612Z [       OK ] LazyOpsTest.TestMaxPool3DWithIndices (2 ms)
2022-11-23T01:57:40.2526013Z [ RUN      ] LazyOpsTest.TestMaxPool3DIncompleteAttributes
2022-11-23T01:57:40.2538242Z [       OK ] LazyOpsTest.TestMaxPool3DIncompleteAttributes (1 ms)
2022-11-23T01:57:40.2538637Z [ RUN      ] LazyOpsTest.TestMaxPool3DNonSquare
2022-11-23T01:57:40.2553286Z [       OK ] LazyOpsTest.TestMaxPool3DNonSquare (1 ms)
2022-11-23T01:57:40.2553719Z [ RUN      ] LazyOpsTest.TestMaxPool2DNoBatch
2022-11-23T01:57:40.2620809Z [       OK ] LazyOpsTest.TestMaxPool2DNoBatch (6 ms)
2022-11-23T01:57:40.2621329Z [ RUN      ] LazyOpsTest.TestMaxPool3DNoBatch
2022-11-23T01:57:40.2640284Z [       OK ] LazyOpsTest.TestMaxPool3DNoBatch (1 ms)
2022-11-23T01:57:40.2640866Z [ RUN      ] LazyOpsTest.TestAvgPool1D
2022-11-23T01:57:40.2717694Z [       OK ] LazyOpsTest.TestAvgPool1D (7 ms)
2022-11-23T01:57:40.2718094Z [ RUN      ] LazyOpsTest.TestAvgPool2D
2022-11-23T01:57:40.2771019Z [       OK ] LazyOpsTest.TestAvgPool2D (5 ms)
2022-11-23T01:57:40.2771450Z [ RUN      ] LazyOpsTest.TestAvgPool2DNonSquare
2022-11-23T01:57:40.2825286Z [       OK ] LazyOpsTest.TestAvgPool2DNonSquare (5 ms)
2022-11-23T01:57:40.2825738Z [ RUN      ] LazyOpsTest.TestAvgPool3D
2022-11-23T01:57:40.2838801Z [       OK ] LazyOpsTest.TestAvgPool3D (1 ms)
2022-11-23T01:57:40.2839459Z [ RUN      ] LazyOpsTest.TestAvgPool3DIncompleteAttributes
2022-11-23T01:57:40.2850148Z [       OK ] LazyOpsTest.TestAvgPool3DIncompleteAttributes (1 ms)
2022-11-23T01:57:40.2850645Z [ RUN      ] LazyOpsTest.TestAvgPool3DNonSquare
2022-11-23T01:57:40.2862288Z [       OK ] LazyOpsTest.TestAvgPool3DNonSquare (1 ms)
2022-11-23T01:57:40.2862734Z [ RUN      ] LazyOpsTest.TestAvgPool2DNoBatch
2022-11-23T01:57:40.2914224Z [       OK ] LazyOpsTest.TestAvgPool2DNoBatch (5 ms)
2022-11-23T01:57:40.2914706Z [ RUN      ] LazyOpsTest.TestAvgPool3DNoBatch
2022-11-23T01:57:40.2927157Z [       OK ] LazyOpsTest.TestAvgPool3DNoBatch (1 ms)
2022-11-23T01:57:40.2927605Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2D
2022-11-23T01:57:40.2934041Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2D (0 ms)
2022-11-23T01:57:40.2934483Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3D
2022-11-23T01:57:40.3139469Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3D (20 ms)
2022-11-23T01:57:40.3139983Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch
2022-11-23T01:57:40.3156726Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch (1 ms)
2022-11-23T01:57:40.3157276Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch
2022-11-23T01:57:40.3163968Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch (0 ms)
2022-11-23T01:57:40.3164430Z [ RUN      ] LazyOpsTest.TestMaxUnpool2D
2022-11-23T01:57:40.3180115Z [       OK ] LazyOpsTest.TestMaxUnpool2D (1 ms)
2022-11-23T01:57:40.3180611Z [ RUN      ] LazyOpsTest.TestMaxUnpool3D
2022-11-23T01:57:40.3194053Z [       OK ] LazyOpsTest.TestMaxUnpool3D (1 ms)
2022-11-23T01:57:40.3194850Z [ RUN      ] LazyOpsTest.TestNllLoss
2022-11-23T01:57:40.3195218Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:8184: Skipped
2022-11-23T01:57:40.3195439Z 
2022-11-23T01:57:40.3195663Z [  SKIPPED ] LazyOpsTest.TestNllLoss (0 ms)
2022-11-23T01:57:40.3196054Z [ RUN      ] LazyOpsTest.TestNllLoss2d
2022-11-23T01:57:40.3269475Z [       OK ] LazyOpsTest.TestNllLoss2d (7 ms)
2022-11-23T01:57:40.3269881Z [ RUN      ] LazyOpsTest.TestSmoothL1Loss
2022-11-23T01:57:40.3286548Z [       OK ] LazyOpsTest.TestSmoothL1Loss (1 ms)
2022-11-23T01:57:40.3286935Z [ RUN      ] LazyOpsTest.TestL1Loss
2022-11-23T01:57:40.3297492Z [       OK ] LazyOpsTest.TestL1Loss (1 ms)
2022-11-23T01:57:40.3297895Z [ RUN      ] LazyOpsTest.TestL1LossBackward
2022-11-23T01:57:40.3334099Z [       OK ] LazyOpsTest.TestL1LossBackward (3 ms)
2022-11-23T01:57:40.3334464Z [ RUN      ] LazyOpsTest.TestMseLoss
2022-11-23T01:57:40.3337767Z [       OK ] LazyOpsTest.TestMseLoss (0 ms)
2022-11-23T01:57:40.3338348Z [ RUN      ] LazyOpsTest.TestMseLossBackward
2022-11-23T01:57:40.3360934Z [       OK ] LazyOpsTest.TestMseLossBackward (2 ms)
2022-11-23T01:57:40.3361377Z [ RUN      ] LazyOpsTest.TestBatchNorm1D
2022-11-23T01:57:40.3379772Z [       OK ] LazyOpsTest.TestBatchNorm1D (1 ms)
2022-11-23T01:57:40.3380332Z [ RUN      ] LazyOpsTest.TestBatchNorm2D
2022-11-23T01:57:40.3398074Z [       OK ] LazyOpsTest.TestBatchNorm2D (1 ms)
2022-11-23T01:57:40.3398720Z [ RUN      ] LazyOpsTest.TestDim
2022-11-23T01:57:40.3399163Z [       OK ] LazyOpsTest.TestDim (0 ms)
2022-11-23T01:57:40.3399661Z [ RUN      ] LazyOpsTest.TestContiguous
2022-11-23T01:57:40.3400188Z [       OK ] LazyOpsTest.TestContiguous (0 ms)
2022-11-23T01:57:40.3400639Z [ RUN      ] LazyOpsTest.TestSqueezeAll
2022-11-23T01:57:40.3403247Z [       OK ] LazyOpsTest.TestSqueezeAll (0 ms)
2022-11-23T01:57:40.3403712Z [ RUN      ] LazyOpsTest.TestSqueezeAllInPlace
2022-11-23T01:57:40.3406606Z [       OK ] LazyOpsTest.TestSqueezeAllInPlace (0 ms)
2022-11-23T01:57:40.3407030Z [ RUN      ] LazyOpsTest.TestSqueezeOne
2022-11-23T01:57:40.3426601Z [       OK ] LazyOpsTest.TestSqueezeOne (1 ms)
2022-11-23T01:57:40.3427039Z [ RUN      ] LazyOpsTest.TestSqueezeOneInPlace
2022-11-23T01:57:40.3449568Z [       OK ] LazyOpsTest.TestSqueezeOneInPlace (2 ms)
2022-11-23T01:57:40.3449900Z [ RUN      ] LazyOpsTest.TestUnsqueeze
2022-11-23T01:57:40.3465016Z [       OK ] LazyOpsTest.TestUnsqueeze (1 ms)
2022-11-23T01:57:40.3465339Z [ RUN      ] LazyOpsTest.TestUnsqueezeInPlace
2022-11-23T01:57:40.3483003Z [       OK ] LazyOpsTest.TestUnsqueezeInPlace (1 ms)
2022-11-23T01:57:40.3483328Z [ RUN      ] LazyOpsTest.TestMaskedFill
2022-11-23T01:57:40.3486466Z [       OK ] LazyOpsTest.TestMaskedFill (0 ms)
2022-11-23T01:57:40.3486813Z [ RUN      ] LazyOpsTest.TestMaskedFillInPlace
2022-11-23T01:57:40.3490519Z [       OK ] LazyOpsTest.TestMaskedFillInPlace (0 ms)
2022-11-23T01:57:40.3490903Z [ RUN      ] LazyOpsTest.TestMaskedFillBroadcast
2022-11-23T01:57:40.3494096Z [       OK ] LazyOpsTest.TestMaskedFillBroadcast (0 ms)
2022-11-23T01:57:40.3494431Z [ RUN      ] LazyOpsTest.TestFill
2022-11-23T01:57:40.3498868Z [       OK ] LazyOpsTest.TestFill (0 ms)
2022-11-23T01:57:40.3499191Z [ RUN      ] LazyOpsTest.TestFillWithRank0
2022-11-23T01:57:40.3500924Z [       OK ] LazyOpsTest.TestFillWithRank0 (0 ms)
2022-11-23T01:57:40.3501289Z [ RUN      ] LazyOpsTest.TestPermute
2022-11-23T01:57:40.3532120Z [       OK ] LazyOpsTest.TestPermute (3 ms)
2022-11-23T01:57:40.3532452Z [ RUN      ] LazyOpsTest.TestPermuteMod
2022-11-23T01:57:40.3644848Z [       OK ] LazyOpsTest.TestPermuteMod (11 ms)
2022-11-23T01:57:40.3645344Z [ RUN      ] LazyOpsTest.TestFlip
2022-11-23T01:57:40.3677823Z [       OK ] LazyOpsTest.TestFlip (3 ms)
2022-11-23T01:57:40.3678403Z [ RUN      ] LazyOpsTest.TestPixelShuffle
2022-11-23T01:57:40.3684564Z [       OK ] LazyOpsTest.TestPixelShuffle (0 ms)
2022-11-23T01:57:40.3684883Z [ RUN      ] LazyOpsTest.TestSumToSize
2022-11-23T01:57:40.3688223Z [       OK ] LazyOpsTest.TestSumToSize (0 ms)
2022-11-23T01:57:40.3688719Z [ RUN      ] LazyOpsTest.TestTransposeDims
2022-11-23T01:57:40.3691977Z [       OK ] LazyOpsTest.TestTransposeDims (0 ms)
2022-11-23T01:57:40.3692784Z [ RUN      ] LazyOpsTest.TestTransposeDimsMod
2022-11-23T01:57:40.3702726Z [       OK ] LazyOpsTest.TestTransposeDimsMod (1 ms)
2022-11-23T01:57:40.3703402Z [ RUN      ] LazyOpsTest.TestTransposeDimsInPlace
2022-11-23T01:57:40.3707226Z [       OK ] LazyOpsTest.TestTransposeDimsInPlace (0 ms)
2022-11-23T01:57:40.3707668Z [ RUN      ] LazyOpsTest.TestSplit
2022-11-23T01:57:40.3729495Z [       OK ] LazyOpsTest.TestSplit (2 ms)
2022-11-23T01:57:40.3729911Z [ RUN      ] LazyOpsTest.TestSplitEmpty
2022-11-23T01:57:40.3730483Z [       OK ] LazyOpsTest.TestSplitEmpty (0 ms)
2022-11-23T01:57:40.3730793Z [ RUN      ] LazyOpsTest.TestSplitWithSizes
2022-11-23T01:57:40.3743050Z [       OK ] LazyOpsTest.TestSplitWithSizes (1 ms)
2022-11-23T01:57:40.3743388Z [ RUN      ] LazyOpsTest.TestCrossImplicitDim
2022-11-23T01:57:40.3745987Z [       OK ] LazyOpsTest.TestCrossImplicitDim (0 ms)
2022-11-23T01:57:40.3746347Z [ RUN      ] LazyOpsTest.TestCrossExplicitDim
2022-11-23T01:57:40.3749235Z [       OK ] LazyOpsTest.TestCrossExplicitDim (0 ms)
2022-11-23T01:57:40.3749664Z [ RUN      ] LazyOpsTest.TestCrossZeroDim
2022-11-23T01:57:40.3750253Z [       OK ] LazyOpsTest.TestCrossZeroDim (0 ms)
2022-11-23T01:57:40.3750574Z [ RUN      ] LazyOpsTest.TestTriu
2022-11-23T01:57:40.3775885Z [       OK ] LazyOpsTest.TestTriu (2 ms)
2022-11-23T01:57:40.3776611Z [ RUN      ] LazyOpsTest.TestTriuNonSquare
2022-11-23T01:57:40.3802194Z [       OK ] LazyOpsTest.TestTriuNonSquare (2 ms)
2022-11-23T01:57:40.3802539Z [ RUN      ] LazyOpsTest.TestTriuBatch
2022-11-23T01:57:40.3827464Z [       OK ] LazyOpsTest.TestTriuBatch (2 ms)
2022-11-23T01:57:40.3827773Z [ RUN      ] LazyOpsTest.TestTril
2022-11-23T01:57:40.3852243Z [       OK ] LazyOpsTest.TestTril (2 ms)
2022-11-23T01:57:40.3852614Z [ RUN      ] LazyOpsTest.TestTrilNonSquare
2022-11-23T01:57:40.3877846Z [       OK ] LazyOpsTest.TestTrilNonSquare (2 ms)
2022-11-23T01:57:40.3878268Z [ RUN      ] LazyOpsTest.TestTrilBatch
2022-11-23T01:57:40.3903706Z [       OK ] LazyOpsTest.TestTrilBatch (2 ms)
2022-11-23T01:57:40.3904097Z [ RUN      ] LazyOpsTest.TestTriuInPlace
2022-11-23T01:57:40.3935585Z [       OK ] LazyOpsTest.TestTriuInPlace (3 ms)
2022-11-23T01:57:40.3935994Z [ RUN      ] LazyOpsTest.TestTrilInPlace
2022-11-23T01:57:40.3967466Z [       OK ] LazyOpsTest.TestTrilInPlace (3 ms)
2022-11-23T01:57:40.3967864Z [ RUN      ] LazyOpsTest.TestTrace
2022-11-23T01:57:40.3970584Z [       OK ] LazyOpsTest.TestTrace (0 ms)
2022-11-23T01:57:40.3971049Z [ RUN      ] LazyOpsTest.TestTraceWide
2022-11-23T01:57:40.3973418Z [       OK ] LazyOpsTest.TestTraceWide (0 ms)
2022-11-23T01:57:40.3973926Z [ RUN      ] LazyOpsTest.TestTraceNarrow
2022-11-23T01:57:40.3976598Z [       OK ] LazyOpsTest.TestTraceNarrow (0 ms)
2022-11-23T01:57:40.3976914Z [ RUN      ] LazyOpsTest.TestDiagRank1
2022-11-23T01:57:40.4147365Z [       OK ] LazyOpsTest.TestDiagRank1 (17 ms)
2022-11-23T01:57:40.4147681Z [ RUN      ] LazyOpsTest.TestDiagRank2
2022-11-23T01:57:40.4185000Z [       OK ] LazyOpsTest.TestDiagRank2 (3 ms)
2022-11-23T01:57:40.4185520Z [ RUN      ] LazyOpsTest.TestDiagFlat
2022-11-23T01:57:40.4689292Z [       OK ] LazyOpsTest.TestDiagFlat (50 ms)
2022-11-23T01:57:40.4689728Z [ RUN      ] LazyOpsTest.TestDiagonal
2022-11-23T01:57:40.4717475Z [       OK ] LazyOpsTest.TestDiagonal (2 ms)
2022-11-23T01:57:40.4718037Z [ RUN      ] LazyOpsTest.TestDiagonalUpdate
2022-11-23T01:57:40.4787404Z [       OK ] LazyOpsTest.TestDiagonalUpdate (6 ms)
2022-11-23T01:57:40.4787776Z [ RUN      ] LazyOpsTest.TestDiagonalNonSquare
2022-11-23T01:57:40.4815260Z [       OK ] LazyOpsTest.TestDiagonalNonSquare (2 ms)
2022-11-23T01:57:40.4815612Z [ RUN      ] LazyOpsTest.TestDiagonalBatch
2022-11-23T01:57:40.4843655Z [       OK ] LazyOpsTest.TestDiagonalBatch (2 ms)
2022-11-23T01:57:40.4843969Z [ RUN      ] LazyOpsTest.TestFlatten
2022-11-23T01:57:40.4903067Z [       OK ] LazyOpsTest.TestFlatten (5 ms)
2022-11-23T01:57:40.4903432Z [ RUN      ] LazyOpsTest.TestLogicalAnd
2022-11-23T01:57:40.4922039Z [       OK ] LazyOpsTest.TestLogicalAnd (1 ms)
2022-11-23T01:57:40.4922340Z [ RUN      ] LazyOpsTest.TestBitwiseAnd
2022-11-23T01:57:40.4925137Z [       OK ] LazyOpsTest.TestBitwiseAnd (0 ms)
2022-11-23T01:57:40.4925465Z [ RUN      ] LazyOpsTest.TestBitwiseAndInPlace
2022-11-23T01:57:40.4928594Z [       OK ] LazyOpsTest.TestBitwiseAndInPlace (0 ms)
2022-11-23T01:57:40.4928995Z [ RUN      ] LazyOpsTest.TestBitwiseAndScalar
2022-11-23T01:57:40.4931738Z [       OK ] LazyOpsTest.TestBitwiseAndScalar (0 ms)
2022-11-23T01:57:40.4932184Z [ RUN      ] LazyOpsTest.TestBitwiseAndScalarInPlace
2022-11-23T01:57:40.4935185Z [       OK ] LazyOpsTest.TestBitwiseAndScalarInPlace (0 ms)
2022-11-23T01:57:40.4935584Z [ RUN      ] LazyOpsTest.TestBitwiseAndPromotion
2022-11-23T01:57:40.4940190Z [       OK ] LazyOpsTest.TestBitwiseAndPromotion (0 ms)
2022-11-23T01:57:40.4940521Z [ RUN      ] LazyOpsTest.TestBitwiseOr
2022-11-23T01:57:40.4943730Z [       OK ] LazyOpsTest.TestBitwiseOr (0 ms)
2022-11-23T01:57:40.4944055Z [ RUN      ] LazyOpsTest.TestBitwiseOrInPlace
2022-11-23T01:57:40.4947186Z [       OK ] LazyOpsTest.TestBitwiseOrInPlace (0 ms)
2022-11-23T01:57:40.4947511Z [ RUN      ] LazyOpsTest.TestBitwiseOrScalar
2022-11-23T01:57:40.4950274Z [       OK ] LazyOpsTest.TestBitwiseOrScalar (0 ms)
2022-11-23T01:57:40.4950629Z [ RUN      ] LazyOpsTest.TestBitwiseOrScalarInPlace
2022-11-23T01:57:40.4953576Z [       OK ] LazyOpsTest.TestBitwiseOrScalarInPlace (0 ms)
2022-11-23T01:57:40.4953910Z [ RUN      ] LazyOpsTest.TestBitwiseXor
2022-11-23T01:57:40.4955034Z [       OK ] LazyOpsTest.TestBitwiseXor (0 ms)
2022-11-23T01:57:40.4955364Z [ RUN      ] LazyOpsTest.TestBitwiseXorInPlace
2022-11-23T01:57:40.4956114Z [       OK ] LazyOpsTest.TestBitwiseXorInPlace (0 ms)
2022-11-23T01:57:40.4956605Z [ RUN      ] LazyOpsTest.TestBitwiseXorScalar
2022-11-23T01:57:40.4957177Z [       OK ] LazyOpsTest.TestBitwiseXorScalar (0 ms)
2022-11-23T01:57:40.4957802Z [ RUN      ] LazyOpsTest.TestBitwiseXorScalarInPlace
2022-11-23T01:57:40.4958300Z [       OK ] LazyOpsTest.TestBitwiseXorScalarInPlace (0 ms)
2022-11-23T01:57:40.4958635Z [ RUN      ] LazyOpsTest.TestLshift
2022-11-23T01:57:40.4959756Z [       OK ] LazyOpsTest.TestLshift (0 ms)
2022-11-23T01:57:40.4960329Z [ RUN      ] LazyOpsTest.TestLshiftInPlace
2022-11-23T01:57:40.4961420Z [       OK ] LazyOpsTest.TestLshiftInPlace (0 ms)
2022-11-23T01:57:40.4962007Z [ RUN      ] LazyOpsTest.TestLshiftScalar
2022-11-23T01:57:40.4962553Z [       OK ] LazyOpsTest.TestLshiftScalar (0 ms)
2022-11-23T01:57:40.4964776Z [ RUN      ] LazyOpsTest.TestLshiftScalarInPlace
2022-11-23T01:57:40.4965383Z [       OK ] LazyOpsTest.TestLshiftScalarInPlace (0 ms)
2022-11-23T01:57:40.4965814Z [ RUN      ] LazyOpsTest.TestRshift
2022-11-23T01:57:40.4966111Z [       OK ] LazyOpsTest.TestRshift (0 ms)
2022-11-23T01:57:40.4966407Z [ RUN      ] LazyOpsTest.TestRshiftInPlace
2022-11-23T01:57:40.4967791Z [       OK ] LazyOpsTest.TestRshiftInPlace (0 ms)
2022-11-23T01:57:40.4968158Z [ RUN      ] LazyOpsTest.TestRshiftScalar
2022-11-23T01:57:40.4969683Z [       OK ] LazyOpsTest.TestRshiftScalar (0 ms)
2022-11-23T01:57:40.4970087Z [ RUN      ] LazyOpsTest.TestRshiftScalarInPlace
2022-11-23T01:57:40.4971061Z [       OK ] LazyOpsTest.TestRshiftScalarInPlace (0 ms)
2022-11-23T01:57:40.4971401Z [ RUN      ] LazyOpsTest.TestMeshgrid
2022-11-23T01:57:40.4971760Z [W TensorShape.cpp:3433] Warning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (function operator())
2022-11-23T01:57:40.4982986Z [       OK ] LazyOpsTest.TestMeshgrid (1 ms)
2022-11-23T01:57:40.4983301Z [ RUN      ] LazyOpsTest.TestConstantPad
2022-11-23T01:57:40.4987467Z [       OK ] LazyOpsTest.TestConstantPad (0 ms)
2022-11-23T01:57:40.4987797Z [ RUN      ] LazyOpsTest.TestConstantPadIncomplete
2022-11-23T01:57:40.4992084Z [       OK ] LazyOpsTest.TestConstantPadIncomplete (0 ms)
2022-11-23T01:57:40.4992657Z [ RUN      ] LazyOpsTest.TestReflectionPad2dRank3
2022-11-23T01:57:40.4993281Z [       OK ] LazyOpsTest.TestReflectionPad2dRank3 (0 ms)
2022-11-23T01:57:40.4993908Z [ RUN      ] LazyOpsTest.TestReflectionPad2dRank4
2022-11-23T01:57:40.4994624Z [       OK ] LazyOpsTest.TestReflectionPad2dRank4 (0 ms)
2022-11-23T01:57:40.4995002Z [ RUN      ] LazyOpsTest.TestReflectionPad2dBackward
2022-11-23T01:57:40.5003888Z [       OK ] LazyOpsTest.TestReflectionPad2dBackward (0 ms)
2022-11-23T01:57:40.5004522Z [ RUN      ] LazyOpsTest.TestReplicationPad1d
2022-11-23T01:57:40.5005111Z [       OK ] LazyOpsTest.TestReplicationPad1d (0 ms)
2022-11-23T01:57:40.5005681Z [ RUN      ] LazyOpsTest.TestReplicationPad1dZeroPad
2022-11-23T01:57:40.5006378Z [       OK ] LazyOpsTest.TestReplicationPad1dZeroPad (0 ms)
2022-11-23T01:57:40.5006839Z [ RUN      ] LazyOpsTest.TestReplicationPad1dBackward
2022-11-23T01:57:40.5013177Z [       OK ] LazyOpsTest.TestReplicationPad1dBackward (0 ms)
2022-11-23T01:57:40.5013784Z [ RUN      ] LazyOpsTest.TestReplicationPad2d
2022-11-23T01:57:40.5014379Z [       OK ] LazyOpsTest.TestReplicationPad2d (0 ms)
2022-11-23T01:57:40.5014983Z [ RUN      ] LazyOpsTest.TestReplicationPad2dZeroPad
2022-11-23T01:57:40.5015680Z [       OK ] LazyOpsTest.TestReplicationPad2dZeroPad (0 ms)
2022-11-23T01:57:40.5016103Z [ RUN      ] LazyOpsTest.TestReplicationPad2dBackward
2022-11-23T01:57:40.5024570Z [       OK ] LazyOpsTest.TestReplicationPad2dBackward (0 ms)
2022-11-23T01:57:40.5025113Z [ RUN      ] LazyOpsTest.TestAsStrided
2022-11-23T01:57:40.5038751Z [       OK ] LazyOpsTest.TestAsStrided (1 ms)
2022-11-23T01:57:40.5039198Z [ RUN      ] LazyOpsTest.TestAsStridedInPlace
2022-11-23T01:57:40.5058787Z [       OK ] LazyOpsTest.TestAsStridedInPlace (1 ms)
2022-11-23T01:57:40.5059149Z [ RUN      ] LazyOpsTest.TestAsStridedWithOffset
2022-11-23T01:57:40.5063996Z [       OK ] LazyOpsTest.TestAsStridedWithOffset (0 ms)
2022-11-23T01:57:40.5064371Z [ RUN      ] LazyOpsTest.TestAsStridedWithInplaceCopy
2022-11-23T01:57:40.5072941Z [       OK ] LazyOpsTest.TestAsStridedWithInplaceCopy (0 ms)
2022-11-23T01:57:40.5073300Z [ RUN      ] LazyOpsTest.TestEmptyStrided
2022-11-23T01:57:40.5073614Z [       OK ] LazyOpsTest.TestEmptyStrided (0 ms)
2022-11-23T01:57:40.5074080Z [ RUN      ] LazyOpsTest.TestAvgPool2DBackward
2022-11-23T01:57:40.5258231Z [       OK ] LazyOpsTest.TestAvgPool2DBackward (18 ms)
2022-11-23T01:57:40.5258593Z [ RUN      ] LazyOpsTest.TestAvgPool3DBackward
2022-11-23T01:57:40.5351138Z [       OK ] LazyOpsTest.TestAvgPool3DBackward (9 ms)
2022-11-23T01:57:40.5351542Z [ RUN      ] LazyOpsTest.TestAvgPool2DNoBatchBackward
2022-11-23T01:57:40.5569526Z [       OK ] LazyOpsTest.TestAvgPool2DNoBatchBackward (21 ms)
2022-11-23T01:57:40.5569936Z [ RUN      ] LazyOpsTest.TestAvgPool3DNoBatchBackward
2022-11-23T01:57:40.5669201Z [       OK ] LazyOpsTest.TestAvgPool3DNoBatchBackward (9 ms)
2022-11-23T01:57:40.5669804Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward
2022-11-23T01:57:40.5710898Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward (4 ms)
2022-11-23T01:57:40.5711447Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DBackward
2022-11-23T01:57:40.5767907Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DBackward (5 ms)
2022-11-23T01:57:40.5768429Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DBackward
2022-11-23T01:57:40.5791946Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DBackward (2 ms)
2022-11-23T01:57:40.5792491Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward
2022-11-23T01:57:40.5814493Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward (2 ms)
2022-11-23T01:57:40.5814970Z [ RUN      ] LazyOpsTest.TestConv2D
2022-11-23T01:57:40.6901645Z [       OK ] LazyOpsTest.TestConv2D (108 ms)
2022-11-23T01:57:40.6902297Z [ RUN      ] LazyOpsTest.TestConv2DBackward
2022-11-23T01:57:41.1006454Z [       OK ] LazyOpsTest.TestConv2DBackward (410 ms)
2022-11-23T01:57:41.1007336Z [ RUN      ] LazyOpsTest.TestTransposedConv2DBackward
2022-11-23T01:57:41.4002992Z [       OK ] LazyOpsTest.TestTransposedConv2DBackward (299 ms)
2022-11-23T01:57:41.4003723Z [ RUN      ] LazyOpsTest.TestConv3DBackward
2022-11-23T01:57:41.6829963Z [       OK ] LazyOpsTest.TestConv3DBackward (282 ms)
2022-11-23T01:57:41.6830455Z [ RUN      ] LazyOpsTest.TestTransposedConv3DBackward
2022-11-23T01:57:42.3727415Z [       OK ] LazyOpsTest.TestTransposedConv3DBackward (689 ms)
2022-11-23T01:57:42.3727941Z [ RUN      ] LazyOpsTest.TestMaxPool2DBackward
2022-11-23T01:57:42.3830340Z [       OK ] LazyOpsTest.TestMaxPool2DBackward (10 ms)
2022-11-23T01:57:42.3830799Z [ RUN      ] LazyOpsTest.TestMaxPool3DBackward
2022-11-23T01:57:42.3884190Z [       OK ] LazyOpsTest.TestMaxPool3DBackward (5 ms)
2022-11-23T01:57:42.3884670Z [ RUN      ] LazyOpsTest.TestMaxPool2DNoBatchBackward
2022-11-23T01:57:42.3981637Z [       OK ] LazyOpsTest.TestMaxPool2DNoBatchBackward (9 ms)
2022-11-23T01:57:42.3982142Z [ RUN      ] LazyOpsTest.TestMaxPool3DNoBatchBackward
2022-11-23T01:57:42.4034309Z [       OK ] LazyOpsTest.TestMaxPool3DNoBatchBackward (5 ms)
2022-11-23T01:57:42.4034847Z [ RUN      ] LazyOpsTest.TestMaxUnpool2DBackward
2022-11-23T01:57:42.4209046Z [       OK ] LazyOpsTest.TestMaxUnpool2DBackward (17 ms)
2022-11-23T01:57:42.4209518Z [ RUN      ] LazyOpsTest.TestMaxUnpool3DBackward
2022-11-23T01:57:42.4353014Z [       OK ] LazyOpsTest.TestMaxUnpool3DBackward (14 ms)
2022-11-23T01:57:42.4353492Z [ RUN      ] LazyOpsTest.TestTanhBackward
2022-11-23T01:57:42.4362450Z [       OK ] LazyOpsTest.TestTanhBackward (1 ms)
2022-11-23T01:57:42.4363060Z [ RUN      ] LazyOpsTest.TestSigmoidBackward
2022-11-23T01:57:42.4372417Z [       OK ] LazyOpsTest.TestSigmoidBackward (0 ms)
2022-11-23T01:57:42.4372868Z [ RUN      ] LazyOpsTest.TestLogSigmoidBackward
2022-11-23T01:57:42.4382696Z [       OK ] LazyOpsTest.TestLogSigmoidBackward (1 ms)
2022-11-23T01:57:42.4383389Z [ RUN      ] LazyOpsTest.TestLogSoftmaxBackward
2022-11-23T01:57:42.4457388Z [       OK ] LazyOpsTest.TestLogSoftmaxBackward (7 ms)
2022-11-23T01:57:42.4457841Z [ RUN      ] LazyOpsTest.TestSoftmaxBackward
2022-11-23T01:57:42.4529757Z [       OK ] LazyOpsTest.TestSoftmaxBackward (7 ms)
2022-11-23T01:57:42.4530205Z [ RUN      ] LazyOpsTest.TestSoftplusBackward
2022-11-23T01:57:42.4540735Z [       OK ] LazyOpsTest.TestSoftplusBackward (1 ms)
2022-11-23T01:57:42.4541415Z [ RUN      ] LazyOpsTest.TestReluBackward
2022-11-23T01:57:42.4550497Z [       OK ] LazyOpsTest.TestReluBackward (0 ms)
2022-11-23T01:57:42.4551242Z [ RUN      ] LazyOpsTest.TestRreluBackward
2022-11-23T01:57:42.4561152Z [       OK ] LazyOpsTest.TestRreluBackward (1 ms)
2022-11-23T01:57:42.4561688Z [ RUN      ] LazyOpsTest.TestHardshrinkBackward
2022-11-23T01:57:42.4571666Z [       OK ] LazyOpsTest.TestHardshrinkBackward (1 ms)
2022-11-23T01:57:42.4572329Z [ RUN      ] LazyOpsTest.TestSoftshrinkBackward
2022-11-23T01:57:42.4581025Z [       OK ] LazyOpsTest.TestSoftshrinkBackward (0 ms)
2022-11-23T01:57:42.4581598Z [ RUN      ] LazyOpsTest.TestHardtanhBackward
2022-11-23T01:57:42.4586341Z [       OK ] LazyOpsTest.TestHardtanhBackward (0 ms)
2022-11-23T01:57:42.4586870Z [ RUN      ] LazyOpsTest.TestEluBackward
2022-11-23T01:57:42.4597143Z [       OK ] LazyOpsTest.TestEluBackward (1 ms)
2022-11-23T01:57:42.4597736Z [ RUN      ] LazyOpsTest.TestGeluBackward
2022-11-23T01:57:42.4614679Z [       OK ] LazyOpsTest.TestGeluBackward (1 ms)
2022-11-23T01:57:42.4615158Z [ RUN      ] LazyOpsTest.TestLeakyReluBackward
2022-11-23T01:57:42.4625485Z [       OK ] LazyOpsTest.TestLeakyReluBackward (1 ms)
2022-11-23T01:57:42.4625943Z [ RUN      ] LazyOpsTest.TestTransposeBackward
2022-11-23T01:57:42.4634097Z [       OK ] LazyOpsTest.TestTransposeBackward (0 ms)
2022-11-23T01:57:42.4634609Z [ RUN      ] LazyOpsTest.TestAddMatMulBackward
2022-11-23T01:57:42.4705356Z [       OK ] LazyOpsTest.TestAddMatMulBackward (7 ms)
2022-11-23T01:57:42.4706097Z [ RUN      ] LazyOpsTest.TestBinaryCrossEntropyBackward
2022-11-23T01:57:42.4770050Z [       OK ] LazyOpsTest.TestBinaryCrossEntropyBackward (6 ms)
2022-11-23T01:57:42.4770647Z [ RUN      ] LazyOpsTest.TestNllLossBackward
2022-11-23T01:57:42.4771097Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:10965: Skipped
2022-11-23T01:57:42.4771342Z 
2022-11-23T01:57:42.4771648Z [  SKIPPED ] LazyOpsTest.TestNllLossBackward (0 ms)
2022-11-23T01:57:42.4772230Z [ RUN      ] LazyOpsTest.TestNllLoss2dBackward
2022-11-23T01:57:42.5057633Z [       OK ] LazyOpsTest.TestNllLoss2dBackward (28 ms)
2022-11-23T01:57:42.5058305Z [ RUN      ] LazyOpsTest.TestSmoothL1LossBackward
2022-11-23T01:57:42.5118628Z [       OK ] LazyOpsTest.TestSmoothL1LossBackward (6 ms)
2022-11-23T01:57:42.5119222Z [ RUN      ] LazyOpsTest.TestViewBackward
2022-11-23T01:57:42.5143143Z [       OK ] LazyOpsTest.TestViewBackward (2 ms)
2022-11-23T01:57:42.5143702Z [ RUN      ] LazyOpsTest.TestBatchNorm2DBackward
2022-11-23T01:57:42.5196575Z [       OK ] LazyOpsTest.TestBatchNorm2DBackward (5 ms)
2022-11-23T01:57:42.5197194Z [ RUN      ] LazyOpsTest.TestBatchNorm3DBackward
2022-11-23T01:57:42.5248040Z [       OK ] LazyOpsTest.TestBatchNorm3DBackward (5 ms)
2022-11-23T01:57:42.5248747Z [ RUN      ] LazyOpsTest.TestBCEWithLogitsBackward
2022-11-23T01:57:42.5606960Z [       OK ] LazyOpsTest.TestBCEWithLogitsBackward (35 ms)
2022-11-23T01:57:42.5607542Z [ RUN      ] LazyOpsTest.TestKlDivBackward
2022-11-23T01:57:42.5686475Z [       OK ] LazyOpsTest.TestKlDivBackward (8 ms)
2022-11-23T01:57:42.5687051Z [ RUN      ] LazyOpsTest.TestEmbeddingBackward
2022-11-23T01:57:42.6397630Z [       OK ] LazyOpsTest.TestEmbeddingBackward (70 ms)
2022-11-23T01:57:42.6398239Z [ RUN      ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale
2022-11-23T01:57:42.6398687Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11362: Skipped
2022-11-23T01:57:42.6398922Z 
2022-11-23T01:57:42.6399253Z [  SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale (0 ms)
2022-11-23T01:57:42.6399749Z [ RUN      ] LazyOpsTest.TestAmpUpdateScale
2022-11-23T01:57:42.6400124Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11411: Skipped
2022-11-23T01:57:42.6400476Z 
2022-11-23T01:57:42.6400761Z [  SKIPPED ] LazyOpsTest.TestAmpUpdateScale (0 ms)
2022-11-23T01:57:42.6401261Z [ RUN      ] LazyOpsTest.TestEarlySyncLiveTensors
2022-11-23T01:57:42.6401750Z [       OK ] LazyOpsTest.TestEarlySyncLiveTensors (0 ms)
2022-11-23T01:57:42.6402175Z [ RUN      ] LazyOpsTest.TestLerp
2022-11-23T01:57:42.6402523Z [       OK ] LazyOpsTest.TestLerp (0 ms)
2022-11-23T01:57:42.6402962Z [ RUN      ] LazyOpsTest.TestLerpScalar
2022-11-23T01:57:42.6403384Z [       OK ] LazyOpsTest.TestLerpScalar (0 ms)
2022-11-23T01:57:42.6403767Z [ RUN      ] LazyOpsTest.TestLerpInplace
2022-11-23T01:57:42.6404202Z [       OK ] LazyOpsTest.TestLerpInplace (0 ms)
2022-11-23T01:57:42.6404613Z [ RUN      ] LazyOpsTest.TestLerpScalarInplace
2022-11-23T01:57:42.6405105Z [       OK ] LazyOpsTest.TestLerpScalarInplace (0 ms)
2022-11-23T01:57:42.6405423Z [ RUN      ] LazyOpsTest.TestLerpOut
2022-11-23T01:57:42.6405798Z [       OK ] LazyOpsTest.TestLerpOut (0 ms)
2022-11-23T01:57:42.6406294Z [ RUN      ] LazyOpsTest.TestLerpScalarOut
2022-11-23T01:57:42.6406658Z [       OK ] LazyOpsTest.TestLerpScalarOut (0 ms)
2022-11-23T01:57:42.6407067Z [ RUN      ] LazyOpsTest.IsAliasOf
2022-11-23T01:57:42.6407401Z [       OK ] LazyOpsTest.IsAliasOf (0 ms)
2022-11-23T01:57:42.6407783Z [----------] 575 tests from LazyOpsTest (3564 ms total)
2022-11-23T01:57:42.6407938Z 
2022-11-23T01:57:42.6408104Z [----------] Global test environment tear-down
2022-11-23T01:57:42.6468817Z [==========] 612 tests from 10 test suites ran. (3580 ms total)
2022-11-23T01:57:42.6469330Z [  PASSED  ] 608 tests.
2022-11-23T01:57:42.6469672Z [  SKIPPED ] 4 tests, listed below:
2022-11-23T01:57:42.6470002Z [  SKIPPED ] LazyOpsTest.TestNllLoss
2022-11-23T01:57:42.6470299Z [  SKIPPED ] LazyOpsTest.TestNllLossBackward
2022-11-23T01:57:42.6470691Z [  SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale
2022-11-23T01:57:42.6471068Z [  SKIPPED ] LazyOpsTest.TestAmpUpdateScale
2022-11-23T01:57:42.7412521Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *-tsan* ]]
2022-11-23T01:57:42.7412801Z + python test/cpp/jit/tests_setup.py shutdown
2022-11-23T01:57:44.1428751Z + wait
2022-11-23T01:57:44.1429162Z + OMP_NUM_THREADS=2
2022-11-23T01:57:44.1429594Z + TORCH_CPP_TEST_MNIST_PATH=test/cpp/api/mnist
2022-11-23T01:57:44.1430243Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_api '--gtest_filter=-IMethodTest.*' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_api.xml
2022-11-23T01:57:44.5255308Z CUDA not available. Disabling CUDA and MultiCUDA tests
2022-11-23T01:57:44.5263099Z Note: Google Test filter = -IMethodTest.*:*_CUDA:*_MultiCUDA
2022-11-23T01:57:44.5263703Z [==========] Running 992 tests from 48 test suites.
2022-11-23T01:57:44.5264007Z [----------] Global test environment set-up.
2022-11-23T01:57:44.5264325Z [----------] 9 tests from AutogradAPITests
2022-11-23T01:57:44.5264649Z [ RUN      ] AutogradAPITests.BackwardSimpleTest
2022-11-23T01:57:44.5273763Z [       OK ] AutogradAPITests.BackwardSimpleTest (1 ms)
2022-11-23T01:57:44.5274438Z [ RUN      ] AutogradAPITests.BackwardTest
2022-11-23T01:57:44.5275386Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2022-11-23T01:57:44.5276894Z [       OK ] AutogradAPITests.BackwardTest (0 ms)
2022-11-23T01:57:44.5277502Z [ RUN      ] AutogradAPITests.GradSimpleTest
2022-11-23T01:57:44.5278836Z [       OK ] AutogradAPITests.GradSimpleTest (0 ms)
2022-11-23T01:57:44.5279506Z [ RUN      ] AutogradAPITests.GradTest
2022-11-23T01:57:44.5282239Z [       OK ] AutogradAPITests.GradTest (0 ms)
2022-11-23T01:57:44.5282747Z [ RUN      ] AutogradAPITests.GradNonLeafTest
2022-11-23T01:57:44.5284807Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T01:57:44.5286694Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T01:57:44.5288203Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T01:57:44.5290158Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T01:57:44.5290873Z [       OK ] AutogradAPITests.GradNonLeafTest (0 ms)
2022-11-23T01:57:44.5291229Z [ RUN      ] AutogradAPITests.GradUnreachableTest
2022-11-23T01:57:44.5342310Z [       OK ] AutogradAPITests.GradUnreachableTest (5 ms)
2022-11-23T01:57:44.5342873Z [ RUN      ] AutogradAPITests.EmptyInput
2022-11-23T01:57:44.5369428Z [       OK ] AutogradAPITests.EmptyInput (2 ms)
2022-11-23T01:57:44.5369998Z [ RUN      ] AutogradAPITests.RetainGrad
2022-11-23T01:57:44.5373132Z [       OK ] AutogradAPITests.RetainGrad (0 ms)
2022-11-23T01:57:44.5373697Z [ RUN      ] AutogradAPITests.AnomalyMode
2022-11-23T01:57:44.5380927Z [W anomaly_mode.cpp:27] Warning: This mode should be enabled only for debugging as the different tests will slow down your program execution. (function operator())
2022-11-23T01:57:44.6980027Z [       OK ] AutogradAPITests.AnomalyMode (160 ms)
2022-11-23T01:57:44.6980694Z [----------] 9 tests from AutogradAPITests (171 ms total)
2022-11-23T01:57:44.6980952Z 
2022-11-23T01:57:44.6981300Z [----------] 33 tests from CustomAutogradTest
2022-11-23T01:57:44.6981668Z [ RUN      ] CustomAutogradTest.GradUnreachableDiscoveryTest
2022-11-23T01:57:44.6982101Z [       OK ] CustomAutogradTest.GradUnreachableDiscoveryTest (0 ms)
2022-11-23T01:57:44.6982467Z [ RUN      ] CustomAutogradTest.CustomFunction
2022-11-23T01:57:44.6991342Z [       OK ] CustomAutogradTest.CustomFunction (1 ms)
2022-11-23T01:57:44.6991977Z [ RUN      ] CustomAutogradTest.CustomFunctionWithTensorList
2022-11-23T01:57:44.6993000Z [       OK ] CustomAutogradTest.CustomFunctionWithTensorList (0 ms)
2022-11-23T01:57:44.6993682Z [ RUN      ] CustomAutogradTest.GraphTaskTrimEdges
2022-11-23T01:57:44.6996734Z [       OK ] CustomAutogradTest.GraphTaskTrimEdges (0 ms)
2022-11-23T01:57:44.6997237Z [ RUN      ] CustomAutogradTest.FunctionReturnsInput
2022-11-23T01:57:44.6998316Z [       OK ] CustomAutogradTest.FunctionReturnsInput (0 ms)
2022-11-23T01:57:44.6998893Z [ RUN      ] CustomAutogradTest.FunctionReturnsUndefined
2022-11-23T01:57:44.6999512Z [       OK ] CustomAutogradTest.FunctionReturnsUndefined (0 ms)
2022-11-23T01:57:44.7000016Z [ RUN      ] CustomAutogradTest.MaterializeGrads
2022-11-23T01:57:44.7000677Z [       OK ] CustomAutogradTest.MaterializeGrads (0 ms)
2022-11-23T01:57:44.7001205Z [ RUN      ] CustomAutogradTest.DontMaterializeGrads
2022-11-23T01:57:44.7001696Z [       OK ] CustomAutogradTest.DontMaterializeGrads (0 ms)
2022-11-23T01:57:44.7002208Z [ RUN      ] CustomAutogradTest.NoGradCustomFunction
2022-11-23T01:57:44.7002693Z [       OK ] CustomAutogradTest.NoGradCustomFunction (0 ms)
2022-11-23T01:57:44.7003091Z [ RUN      ] CustomAutogradTest.MarkDirty
2022-11-23T01:57:44.7003536Z [       OK ] CustomAutogradTest.MarkDirty (0 ms)
2022-11-23T01:57:44.7003945Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiable
2022-11-23T01:57:44.7004338Z [       OK ] CustomAutogradTest.MarkNonDifferentiable (0 ms)
2022-11-23T01:57:44.7004764Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableMixed
2022-11-23T01:57:44.7006363Z [       OK ] CustomAutogradTest.MarkNonDifferentiableMixed (0 ms)
2022-11-23T01:57:44.7007108Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableNone
2022-11-23T01:57:44.7007748Z [       OK ] CustomAutogradTest.MarkNonDifferentiableNone (0 ms)
2022-11-23T01:57:44.7008171Z [ RUN      ] CustomAutogradTest.ReturnLeafInplace
2022-11-23T01:57:44.7008711Z [       OK ] CustomAutogradTest.ReturnLeafInplace (0 ms)
2022-11-23T01:57:44.7009096Z [ RUN      ] CustomAutogradTest.ReturnDuplicateInplace
2022-11-23T01:57:44.7044179Z [       OK ] CustomAutogradTest.ReturnDuplicateInplace (3 ms)
2022-11-23T01:57:44.7044590Z [ RUN      ] CustomAutogradTest.ReturnDuplicate
2022-11-23T01:57:44.7045114Z [       OK ] CustomAutogradTest.ReturnDuplicate (0 ms)
2022-11-23T01:57:44.7045539Z [ RUN      ] CustomAutogradTest.SaveEmptyForBackward
2022-11-23T01:57:44.7045920Z [       OK ] CustomAutogradTest.SaveEmptyForBackward (0 ms)
2022-11-23T01:57:44.7046321Z [ RUN      ] CustomAutogradTest.InvalidGradients
2022-11-23T01:57:44.7105035Z [       OK ] CustomAutogradTest.InvalidGradients (5 ms)
2022-11-23T01:57:44.7106007Z [ RUN      ] CustomAutogradTest.NoGradInput
2022-11-23T01:57:44.7106441Z [       OK ] CustomAutogradTest.NoGradInput (0 ms)
2022-11-23T01:57:44.7106846Z [ RUN      ] CustomAutogradTest.TooManyGrads
2022-11-23T01:57:44.7107187Z [       OK ] CustomAutogradTest.TooManyGrads (0 ms)
2022-11-23T01:57:44.7107549Z [ RUN      ] CustomAutogradTest.DepNoGrad
2022-11-23T01:57:44.7107992Z [       OK ] CustomAutogradTest.DepNoGrad (0 ms)
2022-11-23T01:57:44.7108353Z [ RUN      ] CustomAutogradTest.Reentrant
2022-11-23T01:57:44.7108804Z [       OK ] CustomAutogradTest.Reentrant (0 ms)
2022-11-23T01:57:44.7109122Z [ RUN      ] CustomAutogradTest.DeepReentrant
2022-11-23T01:57:45.1447963Z [       OK ] CustomAutogradTest.DeepReentrant (433 ms)
2022-11-23T01:57:45.1448378Z [ RUN      ] CustomAutogradTest.ReentrantPriority
2022-11-23T01:57:45.1452121Z [       OK ] CustomAutogradTest.ReentrantPriority (0 ms)
2022-11-23T01:57:45.1452457Z [ RUN      ] CustomAutogradTest.Hooks
2022-11-23T01:57:45.1485127Z [       OK ] CustomAutogradTest.Hooks (3 ms)
2022-11-23T01:57:45.1485447Z [ RUN      ] CustomAutogradTest.HooksInplace
2022-11-23T01:57:45.1487092Z [       OK ] CustomAutogradTest.HooksInplace (0 ms)
2022-11-23T01:57:45.1487553Z [ RUN      ] CustomAutogradTest.HooksInplaceWithRetainsGrad
2022-11-23T01:57:45.1489612Z [       OK ] CustomAutogradTest.HooksInplaceWithRetainsGrad (0 ms)
2022-11-23T01:57:45.1490186Z [ RUN      ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad
2022-11-23T01:57:45.1492092Z [       OK ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad (0 ms)
2022-11-23T01:57:45.1492605Z [ RUN      ] CustomAutogradTest.HookNone
2022-11-23T01:57:45.1493413Z [       OK ] CustomAutogradTest.HookNone (0 ms)
2022-11-23T01:57:45.1493878Z [ RUN      ] CustomAutogradTest.BackwardWithInputs
2022-11-23T01:57:45.1494842Z [       OK ] CustomAutogradTest.BackwardWithInputs (0 ms)
2022-11-23T01:57:45.1495231Z [ RUN      ] CustomAutogradTest.BackwardWithEmptyInputs
2022-11-23T01:57:45.1507413Z [       OK ] CustomAutogradTest.BackwardWithEmptyInputs (1 ms)
2022-11-23T01:57:45.1507857Z [ RUN      ] CustomAutogradTest.BackwardWithNonLeafInputs
2022-11-23T01:57:45.1509800Z [       OK ] CustomAutogradTest.BackwardWithNonLeafInputs (0 ms)
2022-11-23T01:57:45.1510531Z [ RUN      ] CustomAutogradTest.BackwardWithCreateGraphWarns
2022-11-23T01:57:45.1511332Z [       OK ] CustomAutogradTest.BackwardWithCreateGraphWarns (0 ms)
2022-11-23T01:57:45.1511740Z [----------] 33 tests from CustomAutogradTest (453 ms total)
2022-11-23T01:57:45.1511909Z 
2022-11-23T01:57:45.1512128Z [----------] 13 tests from TestAutogradNotImplementedFallback
2022-11-23T01:57:45.1512556Z [ RUN      ] TestAutogradNotImplementedFallback.RetSingleNonTensor
2022-11-23T01:57:45.1514460Z [       OK ] TestAutogradNotImplementedFallback.RetSingleNonTensor (0 ms)
2022-11-23T01:57:45.1515073Z [ RUN      ] TestAutogradNotImplementedFallback.InplaceOp
2022-11-23T01:57:45.1559330Z [       OK ] TestAutogradNotImplementedFallback.InplaceOp (4 ms)
2022-11-23T01:57:45.1559991Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleInplaceOp
2022-11-23T01:57:45.1597018Z [       OK ] TestAutogradNotImplementedFallback.DoubleInplaceOp (3 ms)
2022-11-23T01:57:45.1597620Z [ RUN      ] TestAutogradNotImplementedFallback.OptOp
2022-11-23T01:57:45.1600068Z [       OK ] TestAutogradNotImplementedFallback.OptOp (0 ms)
2022-11-23T01:57:45.1600737Z [ RUN      ] TestAutogradNotImplementedFallback.OutOfPlaceAddition
2022-11-23T01:57:45.1633684Z [       OK ] TestAutogradNotImplementedFallback.OutOfPlaceAddition (3 ms)
2022-11-23T01:57:45.1634425Z [ RUN      ] TestAutogradNotImplementedFallback.RetTupleNonTensor
2022-11-23T01:57:45.1667181Z [       OK ] TestAutogradNotImplementedFallback.RetTupleNonTensor (3 ms)
2022-11-23T01:57:45.1667846Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOp
2022-11-23T01:57:45.1731860Z [       OK ] TestAutogradNotImplementedFallback.ViewOp (6 ms)
2022-11-23T01:57:45.1732488Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg
2022-11-23T01:57:45.1765499Z [       OK ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg (3 ms)
2022-11-23T01:57:45.1766327Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVectorView
2022-11-23T01:57:45.1767260Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVectorView (0 ms)
2022-11-23T01:57:45.1767895Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleViewOP
2022-11-23T01:57:45.1786714Z [       OK ] TestAutogradNotImplementedFallback.DoubleViewOP (1 ms)
2022-11-23T01:57:45.1787375Z [ RUN      ] TestAutogradNotImplementedFallback.NonFirstViewOP
2022-11-23T01:57:45.1816958Z [       OK ] TestAutogradNotImplementedFallback.NonFirstViewOP (2 ms)
2022-11-23T01:57:45.1817600Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVector
2022-11-23T01:57:45.1850317Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVector (3 ms)
2022-11-23T01:57:45.1850963Z [ RUN      ] TestAutogradNotImplementedFallback.TensorlistOp
2022-11-23T01:57:45.1875253Z [       OK ] TestAutogradNotImplementedFallback.TensorlistOp (2 ms)
2022-11-23T01:57:45.1876091Z [----------] 13 tests from TestAutogradNotImplementedFallback (36 ms total)
2022-11-23T01:57:45.1876289Z 
2022-11-23T01:57:45.1876464Z [----------] 18 tests from AnyModuleTest
2022-11-23T01:57:45.1876772Z [ RUN      ] AnyModuleTest.SimpleReturnType
2022-11-23T01:57:45.1877107Z [       OK ] AnyModuleTest.SimpleReturnType (0 ms)
2022-11-23T01:57:45.1877528Z [ RUN      ] AnyModuleTest.SimpleReturnTypeAndSingleArgument
2022-11-23T01:57:45.1878047Z [       OK ] AnyModuleTest.SimpleReturnTypeAndSingleArgument (0 ms)
2022-11-23T01:57:45.1878518Z [ RUN      ] AnyModuleTest.StringLiteralReturnTypeAndArgument
2022-11-23T01:57:45.1878959Z [       OK ] AnyModuleTest.StringLiteralReturnTypeAndArgument (0 ms)
2022-11-23T01:57:45.1879375Z [ RUN      ] AnyModuleTest.StringReturnTypeWithConstArgument
2022-11-23T01:57:45.1879809Z [       OK ] AnyModuleTest.StringReturnTypeWithConstArgument (0 ms)
2022-11-23T01:57:45.1880333Z [ RUN      ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications
2022-11-23T01:57:45.1880925Z [       OK ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications (0 ms)
2022-11-23T01:57:45.1881381Z [ RUN      ] AnyModuleTest.WrongArgumentType
2022-11-23T01:57:45.1889674Z [       OK ] AnyModuleTest.WrongArgumentType (1 ms)
2022-11-23T01:57:45.1890317Z [ RUN      ] AnyModuleTest.WrongNumberOfArguments
2022-11-23T01:57:45.1927062Z [       OK ] AnyModuleTest.WrongNumberOfArguments (3 ms)
2022-11-23T01:57:45.1927822Z [ RUN      ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod
2022-11-23T01:57:45.2008961Z [       OK ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod (8 ms)
2022-11-23T01:57:45.2009586Z [ RUN      ] AnyModuleTest.GetWithCorrectTypeSucceeds
2022-11-23T01:57:45.2009980Z [       OK ] AnyModuleTest.GetWithCorrectTypeSucceeds (0 ms)
2022-11-23T01:57:45.2010374Z [ RUN      ] AnyModuleTest.GetWithIncorrectTypeThrows
2022-11-23T01:57:45.2019332Z [       OK ] AnyModuleTest.GetWithIncorrectTypeThrows (1 ms)
2022-11-23T01:57:45.2020003Z [ RUN      ] AnyModuleTest.PtrWithBaseClassSucceeds
2022-11-23T01:57:45.2020649Z [       OK ] AnyModuleTest.PtrWithBaseClassSucceeds (0 ms)
2022-11-23T01:57:45.2021040Z [ RUN      ] AnyModuleTest.PtrWithGoodDowncastSuccceeds
2022-11-23T01:57:45.2021441Z [       OK ] AnyModuleTest.PtrWithGoodDowncastSuccceeds (0 ms)
2022-11-23T01:57:45.2021816Z [ RUN      ] AnyModuleTest.PtrWithBadDowncastThrows
2022-11-23T01:57:45.2038798Z [       OK ] AnyModuleTest.PtrWithBadDowncastThrows (1 ms)
2022-11-23T01:57:45.2039429Z [ RUN      ] AnyModuleTest.DefaultStateIsEmpty
2022-11-23T01:57:45.2039770Z [       OK ] AnyModuleTest.DefaultStateIsEmpty (0 ms)
2022-11-23T01:57:45.2040310Z [ RUN      ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule
2022-11-23T01:57:45.2091692Z [       OK ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule (5 ms)
2022-11-23T01:57:45.2103881Z [ RUN      ] AnyModuleTest.CanMoveAssignDifferentModules
2022-11-23T01:57:45.2104656Z [       OK ] AnyModuleTest.CanMoveAssignDifferentModules (0 ms)
2022-11-23T01:57:45.2105060Z [ RUN      ] AnyModuleTest.ConstructsFromModuleHolder
2022-11-23T01:57:45.2105434Z [       OK ] AnyModuleTest.ConstructsFromModuleHolder (0 ms)
2022-11-23T01:57:45.2105844Z [ RUN      ] AnyModuleTest.ConvertsVariableToTensorCorrectly
2022-11-23T01:57:45.2106401Z [       OK ] AnyModuleTest.ConvertsVariableToTensorCorrectly (0 ms)
2022-11-23T01:57:45.2106784Z [----------] 18 tests from AnyModuleTest (21 ms total)
2022-11-23T01:57:45.2106942Z 
2022-11-23T01:57:45.2107092Z [----------] 12 tests from AnyValueTest
2022-11-23T01:57:45.2107456Z [ RUN      ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType
2022-11-23T01:57:45.2107899Z [       OK ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType (0 ms)
2022-11-23T01:57:45.2108352Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType
2022-11-23T01:57:45.2108860Z [       OK ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType (0 ms)
2022-11-23T01:57:45.2109330Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType
2022-11-23T01:57:45.2109766Z [       OK ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType (0 ms)
2022-11-23T01:57:45.2110223Z [ RUN      ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType
2022-11-23T01:57:45.2110701Z [       OK ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType (0 ms)
2022-11-23T01:57:45.2111172Z [ RUN      ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType
2022-11-23T01:57:45.2111639Z [       OK ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType (0 ms)
2022-11-23T01:57:45.2112092Z [ RUN      ] AnyValueTest.TryGetReturnsNullptrForTheWrongType
2022-11-23T01:57:45.2112528Z [       OK ] AnyValueTest.TryGetReturnsNullptrForTheWrongType (0 ms)
2022-11-23T01:57:45.2112919Z [ RUN      ] AnyValueTest.GetThrowsForTheWrongType
2022-11-23T01:57:45.2116540Z [       OK ] AnyValueTest.GetThrowsForTheWrongType (2 ms)
2022-11-23T01:57:45.2117185Z [ RUN      ] AnyValueTest.MoveConstructionIsAllowed
2022-11-23T01:57:45.2117796Z [       OK ] AnyValueTest.MoveConstructionIsAllowed (0 ms)
2022-11-23T01:57:45.2118149Z [ RUN      ] AnyValueTest.MoveAssignmentIsAllowed
2022-11-23T01:57:45.2118519Z [       OK ] AnyValueTest.MoveAssignmentIsAllowed (0 ms)
2022-11-23T01:57:45.2118874Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForInt
2022-11-23T01:57:45.2119223Z [       OK ] AnyValueTest.TypeInfoIsCorrectForInt (0 ms)
2022-11-23T01:57:45.2119613Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForStringLiteral
2022-11-23T01:57:45.2120042Z [       OK ] AnyValueTest.TypeInfoIsCorrectForStringLiteral (0 ms)
2022-11-23T01:57:45.2120437Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForString
2022-11-23T01:57:45.2120800Z [       OK ] AnyValueTest.TypeInfoIsCorrectForString (0 ms)
2022-11-23T01:57:45.2121154Z [----------] 12 tests from AnyValueTest (2 ms total)
2022-11-23T01:57:45.2121304Z 
2022-11-23T01:57:45.2121445Z [----------] 50 tests from DataTest
2022-11-23T01:57:45.2121739Z [ RUN      ] DataTest.DatasetCallsGetCorrectly
2022-11-23T01:57:45.2124713Z [       OK ] DataTest.DatasetCallsGetCorrectly (0 ms)
2022-11-23T01:57:45.2125082Z [ RUN      ] DataTest.TransformCallsGetApplyCorrectly
2022-11-23T01:57:45.2141560Z [       OK ] DataTest.TransformCallsGetApplyCorrectly (1 ms)
2022-11-23T01:57:45.2141986Z [ RUN      ] DataTest.ChunkDataSetWithInvalidInitParameter
2022-11-23T01:57:45.2210083Z [       OK ] DataTest.ChunkDataSetWithInvalidInitParameter (6 ms)
2022-11-23T01:57:45.2210746Z [ RUN      ] DataTest.InfiniteStreamDataset
2022-11-23T01:57:45.2211260Z [       OK ] DataTest.InfiniteStreamDataset (0 ms)
2022-11-23T01:57:45.2211590Z [ RUN      ] DataTest.NoSequencerIsIdentity
2022-11-23T01:57:45.2211924Z [       OK ] DataTest.NoSequencerIsIdentity (0 ms)
2022-11-23T01:57:45.2212273Z [ RUN      ] DataTest.OrderedSequencerIsSetUpWell
2022-11-23T01:57:45.2212625Z [       OK ] DataTest.OrderedSequencerIsSetUpWell (0 ms)
2022-11-23T01:57:45.2212995Z [ RUN      ] DataTest.OrderedSequencerReOrdersValues
2022-11-23T01:57:45.2213441Z [       OK ] DataTest.OrderedSequencerReOrdersValues (0 ms)
2022-11-23T01:57:45.2213819Z [ RUN      ] DataTest.BatchLambdaAppliesFunctionToBatch
2022-11-23T01:57:45.2214219Z [       OK ] DataTest.BatchLambdaAppliesFunctionToBatch (0 ms)
2022-11-23T01:57:45.2214610Z [ RUN      ] DataTest.LambdaAppliesFunctionToExample
2022-11-23T01:57:45.2214992Z [       OK ] DataTest.LambdaAppliesFunctionToExample (0 ms)
2022-11-23T01:57:45.2215325Z [ RUN      ] DataTest.CollateReducesBatch
2022-11-23T01:57:45.2215649Z [       OK ] DataTest.CollateReducesBatch (0 ms)
2022-11-23T01:57:45.2215964Z [ RUN      ] DataTest.CollationReducesBatch
2022-11-23T01:57:45.2216281Z [       OK ] DataTest.CollationReducesBatch (0 ms)
2022-11-23T01:57:45.2216881Z [ RUN      ] DataTest.SequentialSamplerReturnsIndicesInOrder
2022-11-23T01:57:45.2217317Z [       OK ] DataTest.SequentialSamplerReturnsIndicesInOrder (0 ms)
2022-11-23T01:57:45.2217761Z [ RUN      ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch
2022-11-23T01:57:45.2218248Z [       OK ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T01:57:45.2218666Z [ RUN      ] DataTest.SequentialSamplerResetsWell
2022-11-23T01:57:45.2219034Z [       OK ] DataTest.SequentialSamplerResetsWell (0 ms)
2022-11-23T01:57:45.2219419Z [ RUN      ] DataTest.SequentialSamplerResetsWithNewSizeWell
2022-11-23T01:57:45.2219848Z [       OK ] DataTest.SequentialSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T01:57:45.2220245Z [ RUN      ] DataTest.CanSaveAndLoadSequentialSampler
2022-11-23T01:57:45.2349846Z [       OK ] DataTest.CanSaveAndLoadSequentialSampler (13 ms)
2022-11-23T01:57:45.2350631Z [ RUN      ] DataTest.RandomSamplerReturnsIndicesInCorrectRange
2022-11-23T01:57:45.2351356Z [       OK ] DataTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2022-11-23T01:57:45.2352121Z [ RUN      ] DataTest.RandomSamplerReturnsLessValuesForLastBatch
2022-11-23T01:57:45.2352909Z [       OK ] DataTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T01:57:45.2353553Z [ RUN      ] DataTest.RandomSamplerResetsWell
2022-11-23T01:57:45.2354135Z [       OK ] DataTest.RandomSamplerResetsWell (0 ms)
2022-11-23T01:57:45.2354715Z [ RUN      ] DataTest.RandomSamplerResetsWithNewSizeWell
2022-11-23T01:57:45.2355332Z [       OK ] DataTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T01:57:45.2356033Z [ RUN      ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence
2022-11-23T01:57:45.2356832Z [       OK ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence (0 ms)
2022-11-23T01:57:45.2357648Z [ RUN      ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder
2022-11-23T01:57:45.2358500Z [       OK ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder (0 ms)
2022-11-23T01:57:45.2359225Z [ RUN      ] DataTest.StreamSamplerResetsWell
2022-11-23T01:57:45.2359822Z [       OK ] DataTest.StreamSamplerResetsWell (0 ms)
2022-11-23T01:57:45.2360436Z [ RUN      ] DataTest.StreamSamplerResetsWithNewSizeWell
2022-11-23T01:57:45.2361334Z [       OK ] DataTest.StreamSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T01:57:45.2362060Z [ RUN      ] DataTest.TensorDatasetConstructsFromSingleTensor
2022-11-23T01:57:45.2362808Z [       OK ] DataTest.TensorDatasetConstructsFromSingleTensor (0 ms)
2022-11-23T01:57:45.2363636Z [ RUN      ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors
2022-11-23T01:57:45.2364453Z [       OK ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors (0 ms)
2022-11-23T01:57:45.2365206Z [ RUN      ] DataTest.StackTransformWorksForExample
2022-11-23T01:57:45.2365832Z [       OK ] DataTest.StackTransformWorksForExample (0 ms)
2022-11-23T01:57:45.2366672Z [ RUN      ] DataTest.StackTransformWorksForTensorExample
2022-11-23T01:57:45.2367374Z [       OK ] DataTest.StackTransformWorksForTensorExample (0 ms)
2022-11-23T01:57:45.2368066Z [ RUN      ] DataTest.TensorTransformWorksForAnyTargetType
2022-11-23T01:57:45.2368811Z [       OK ] DataTest.TensorTransformWorksForAnyTargetType (0 ms)
2022-11-23T01:57:45.2369491Z [ RUN      ] DataTest.TensorLambdaWorksforAnyTargetType
2022-11-23T01:57:45.2370114Z [       OK ] DataTest.TensorLambdaWorksforAnyTargetType (0 ms)
2022-11-23T01:57:45.2370545Z [ RUN      ] DataTest.NormalizeTransform
2022-11-23T01:57:45.2370910Z [       OK ] DataTest.NormalizeTransform (0 ms)
2022-11-23T01:57:45.2371273Z [ RUN      ] DataTest.MapDoesNotCopy
2022-11-23T01:57:45.2371568Z [       OK ] DataTest.MapDoesNotCopy (0 ms)
2022-11-23T01:57:45.2371906Z [ RUN      ] DataTest.QueuePushAndPopFromSameThread
2022-11-23T01:57:45.2372288Z [       OK ] DataTest.QueuePushAndPopFromSameThread (0 ms)
2022-11-23T01:57:45.2372671Z [ RUN      ] DataTest.QueuePopWithTimeoutThrowsUponTimeout
2022-11-23T01:57:45.2484175Z [       OK ] DataTest.QueuePopWithTimeoutThrowsUponTimeout (11 ms)
2022-11-23T01:57:45.2484631Z [ RUN      ] DataTest.QueuePushAndPopFromDifferentThreads
2022-11-23T01:57:45.2690814Z [       OK ] DataTest.QueuePushAndPopFromDifferentThreads (20 ms)
2022-11-23T01:57:45.2691191Z [ RUN      ] DataTest.QueueClearEmptiesTheQueue
2022-11-23T01:57:45.2712852Z [       OK ] DataTest.QueueClearEmptiesTheQueue (2 ms)
2022-11-23T01:57:45.2713265Z [ RUN      ] DataTest.DataShuttleCanPushAndPopJob
2022-11-23T01:57:45.2713712Z [       OK ] DataTest.DataShuttleCanPushAndPopJob (0 ms)
2022-11-23T01:57:45.2714080Z [ RUN      ] DataTest.DataShuttleCanPushAndPopResult
2022-11-23T01:57:45.2714589Z [       OK ] DataTest.DataShuttleCanPushAndPopResult (0 ms)
2022-11-23T01:57:45.2715064Z [ RUN      ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight
2022-11-23T01:57:45.2715648Z [       OK ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight (0 ms)
2022-11-23T01:57:45.2716211Z [ RUN      ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt
2022-11-23T01:57:45.2716690Z [       OK ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt (0 ms)
2022-11-23T01:57:45.2717167Z [ RUN      ] DataTest.DataShuttlePopResultTimesOut
2022-11-23T01:57:45.2825660Z [       OK ] DataTest.DataShuttlePopResultTimesOut (11 ms)
2022-11-23T01:57:45.2826257Z [ RUN      ] DataTest.SharedBatchDatasetReallyIsShared
2022-11-23T01:57:45.2841441Z [       OK ] DataTest.SharedBatchDatasetReallyIsShared (1 ms)
2022-11-23T01:57:45.2842291Z [ RUN      ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject
2022-11-23T01:57:45.2842893Z [       OK ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject (0 ms)
2022-11-23T01:57:45.2843353Z [ RUN      ] DataTest.CanUseCustomTypeAsIndexType
2022-11-23T01:57:45.2843721Z [       OK ] DataTest.CanUseCustomTypeAsIndexType (0 ms)
2022-11-23T01:57:45.2844345Z [ RUN      ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples
2022-11-23T01:57:45.2849716Z [       OK ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples (0 ms)
2022-11-23T01:57:45.2850506Z [ RUN      ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples
2022-11-23T01:57:45.2851341Z [       OK ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples (0 ms)
2022-11-23T01:57:45.2852082Z [ RUN      ] DataTest.CanSaveAndLoadDistributedRandomSampler
2022-11-23T01:57:45.2858967Z [       OK ] DataTest.CanSaveAndLoadDistributedRandomSampler (0 ms)
2022-11-23T01:57:45.2860042Z [ RUN      ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples
2022-11-23T01:57:45.2861158Z [       OK ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples (0 ms)
2022-11-23T01:57:45.2862275Z [ RUN      ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples
2022-11-23T01:57:45.2863405Z [       OK ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples (0 ms)
2022-11-23T01:57:45.2864371Z [ RUN      ] DataTest.CanSaveAndLoadDistributedSequentialSampler
2022-11-23T01:57:45.2865216Z [       OK ] DataTest.CanSaveAndLoadDistributedSequentialSampler (0 ms)
2022-11-23T01:57:45.2865920Z [----------] 50 tests from DataTest (74 ms total)
2022-11-23T01:57:45.2866181Z 
2022-11-23T01:57:45.2866451Z [----------] 37 tests from DataLoaderTest
2022-11-23T01:57:45.2867114Z [ RUN      ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected
2022-11-23T01:57:45.2867914Z [       OK ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected (0 ms)
2022-11-23T01:57:45.2868753Z [ RUN      ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues
2022-11-23T01:57:45.2869631Z [       OK ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues (0 ms)
2022-11-23T01:57:45.2870440Z [ RUN      ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected
2022-11-23T01:57:45.2871230Z [       OK ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected (0 ms)
2022-11-23T01:57:45.2872241Z [ RUN      ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset
2022-11-23T01:57:45.2876316Z [       OK ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset (1 ms)
2022-11-23T01:57:45.2877038Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToThemselves
2022-11-23T01:57:45.2877554Z [       OK ] DataLoaderTest.IteratorsCompareEqualToThemselves (0 ms)
2022-11-23T01:57:45.2878030Z [ RUN      ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther
2022-11-23T01:57:45.2878523Z [       OK ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther (0 ms)
2022-11-23T01:57:45.2878989Z [ RUN      ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther
2022-11-23T01:57:45.2879478Z [       OK ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther (0 ms)
2022-11-23T01:57:45.2879975Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted
2022-11-23T01:57:45.2880481Z [       OK ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted (0 ms)
2022-11-23T01:57:45.2880901Z [ RUN      ] DataLoaderTest.IteratorsShareState
2022-11-23T01:57:45.2881249Z [       OK ] DataLoaderTest.IteratorsShareState (0 ms)
2022-11-23T01:57:45.2881648Z [ RUN      ] DataLoaderTest.CanDereferenceIteratorMultipleTimes
2022-11-23T01:57:45.2882086Z [       OK ] DataLoaderTest.CanDereferenceIteratorMultipleTimes (0 ms)
2022-11-23T01:57:45.2882495Z [ RUN      ] DataLoaderTest.CanUseIteratorAlgorithms
2022-11-23T01:57:45.2882873Z [       OK ] DataLoaderTest.CanUseIteratorAlgorithms (0 ms)
2022-11-23T01:57:45.2883314Z [ RUN      ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows
2022-11-23T01:57:45.2894490Z [       OK ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows (1 ms)
2022-11-23T01:57:45.2895007Z [ RUN      ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows
2022-11-23T01:57:45.2906582Z [       OK ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows (1 ms)
2022-11-23T01:57:45.2907162Z [ RUN      ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows
2022-11-23T01:57:45.2917957Z [       OK ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows (1 ms)
2022-11-23T01:57:45.2918573Z [ RUN      ] DataLoaderTest.IncrementingSentinelIteratorThrows
2022-11-23T01:57:45.2929286Z [       OK ] DataLoaderTest.IncrementingSentinelIteratorThrows (1 ms)
2022-11-23T01:57:45.2929872Z [ RUN      ] DataLoaderTest.DereferencingSentinelIteratorThrows
2022-11-23T01:57:45.2941278Z [       OK ] DataLoaderTest.DereferencingSentinelIteratorThrows (1 ms)
2022-11-23T01:57:45.2942059Z [ RUN      ] DataLoaderTest.YieldsCorrectBatchSize
2022-11-23T01:57:45.2942464Z [       OK ] DataLoaderTest.YieldsCorrectBatchSize (0 ms)
2022-11-23T01:57:45.2942983Z [ RUN      ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse
2022-11-23T01:57:45.2943619Z [       OK ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse (0 ms)
2022-11-23T01:57:45.2944272Z [ RUN      ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue
2022-11-23T01:57:45.2944934Z [       OK ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue (0 ms)
2022-11-23T01:57:45.2945429Z [ RUN      ] DataLoaderTest.RespectsTimeout
2022-11-23T01:57:45.3058244Z [       OK ] DataLoaderTest.RespectsTimeout (11 ms)
2022-11-23T01:57:45.3058739Z [ RUN      ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured
2022-11-23T01:57:45.3084609Z [       OK ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured (2 ms)
2022-11-23T01:57:45.3085063Z [ RUN      ] DataLoaderTest.Reset
2022-11-23T01:57:45.3086838Z [       OK ] DataLoaderTest.Reset (0 ms)
2022-11-23T01:57:45.3087261Z [ RUN      ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers
2022-11-23T01:57:45.3090032Z [       OK ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers (0 ms)
2022-11-23T01:57:45.3090841Z [ RUN      ] DataLoaderTest.StatefulDatasetWithNoWorkers
2022-11-23T01:57:45.3091362Z [       OK ] DataLoaderTest.StatefulDatasetWithNoWorkers (0 ms)
2022-11-23T01:57:45.3092154Z [ RUN      ] DataLoaderTest.StatefulDatasetWithManyWorkers
2022-11-23T01:57:45.3110303Z [       OK ] DataLoaderTest.StatefulDatasetWithManyWorkers (1 ms)
2022-11-23T01:57:45.3110986Z [ RUN      ] DataLoaderTest.StatefulDatasetWithMap
2022-11-23T01:57:45.3111692Z [       OK ] DataLoaderTest.StatefulDatasetWithMap (0 ms)
2022-11-23T01:57:45.3112089Z [ RUN      ] DataLoaderTest.StatefulDatasetWithCollate
2022-11-23T01:57:45.3113258Z [       OK ] DataLoaderTest.StatefulDatasetWithCollate (0 ms)
2022-11-23T01:57:45.3113846Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatch
2022-11-23T01:57:45.3212564Z [       OK ] DataLoaderTest.ChunkDataSetGetBatch (9 ms)
2022-11-23T01:57:45.3213126Z [ RUN      ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch
2022-11-23T01:57:45.3226733Z [       OK ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch (1 ms)
2022-11-23T01:57:45.3227190Z [ RUN      ] DataLoaderTest.ChunkDataSetWithEmptyBatch
2022-11-23T01:57:45.3227604Z [       OK ] DataLoaderTest.ChunkDataSetWithEmptyBatch (0 ms)
2022-11-23T01:57:45.3228033Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize
2022-11-23T01:57:45.3229307Z [       OK ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize (0 ms)
2022-11-23T01:57:45.3230128Z [ RUN      ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet
2022-11-23T01:57:45.3230630Z [       OK ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet (0 ms)
2022-11-23T01:57:45.3231111Z [ RUN      ] DataLoaderTest.ChunkDatasetDoesNotHang
2022-11-23T01:57:45.3231556Z [       OK ] DataLoaderTest.ChunkDatasetDoesNotHang (0 ms)
2022-11-23T01:57:45.3231908Z [ RUN      ] DataLoaderTest.ChunkDatasetSave
2022-11-23T01:57:45.3353509Z [       OK ] DataLoaderTest.ChunkDatasetSave (12 ms)
2022-11-23T01:57:45.3353875Z [ RUN      ] DataLoaderTest.ChunkDatasetLoad
2022-11-23T01:57:45.3358841Z [       OK ] DataLoaderTest.ChunkDatasetLoad (0 ms)
2022-11-23T01:57:45.3359530Z [ RUN      ] DataLoaderTest.ChunkDatasetCrossChunkShuffle
2022-11-23T01:57:45.3362517Z [       OK ] DataLoaderTest.ChunkDatasetCrossChunkShuffle (0 ms)
2022-11-23T01:57:45.3362936Z [ RUN      ] DataLoaderTest.CustomPreprocessPolicy
2022-11-23T01:57:45.3364972Z [       OK ] DataLoaderTest.CustomPreprocessPolicy (0 ms)
2022-11-23T01:57:45.3365439Z [----------] 37 tests from DataLoaderTest (50 ms total)
2022-11-23T01:57:45.3365614Z 
2022-11-23T01:57:45.3365756Z [----------] 1 test from EnumTest
2022-11-23T01:57:45.3366014Z [ RUN      ] EnumTest.AllEnums
2022-11-23T01:57:45.3366329Z [       OK ] EnumTest.AllEnums (0 ms)
2022-11-23T01:57:45.3366607Z [----------] 1 test from EnumTest (0 ms total)
2022-11-23T01:57:45.3366754Z 
2022-11-23T01:57:45.3366918Z [----------] 6 tests from ExpandingArrayTest
2022-11-23T01:57:45.3367294Z [ RUN      ] ExpandingArrayTest.CanConstructFromInitializerList
2022-11-23T01:57:45.3367736Z [       OK ] ExpandingArrayTest.CanConstructFromInitializerList (0 ms)
2022-11-23T01:57:45.3368149Z [ RUN      ] ExpandingArrayTest.CanConstructFromVector
2022-11-23T01:57:45.3368541Z [       OK ] ExpandingArrayTest.CanConstructFromVector (0 ms)
2022-11-23T01:57:45.3368927Z [ RUN      ] ExpandingArrayTest.CanConstructFromArray
2022-11-23T01:57:45.3369301Z [       OK ] ExpandingArrayTest.CanConstructFromArray (0 ms)
2022-11-23T01:57:45.3369700Z [ RUN      ] ExpandingArrayTest.CanConstructFromSingleValue
2022-11-23T01:57:45.3370122Z [       OK ] ExpandingArrayTest.CanConstructFromSingleValue (0 ms)
2022-11-23T01:57:45.3370697Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList
2022-11-23T01:57:45.3383304Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList (1 ms)
2022-11-23T01:57:45.3384013Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector
2022-11-23T01:57:45.3393471Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector (1 ms)
2022-11-23T01:57:45.3394204Z [----------] 6 tests from ExpandingArrayTest (2 ms total)
2022-11-23T01:57:45.3394433Z 
2022-11-23T01:57:45.3394579Z [----------] 10 tests from FFTTest
2022-11-23T01:57:45.3394824Z [ RUN      ] FFTTest.fft
2022-11-23T01:57:45.3471358Z [       OK ] FFTTest.fft (7 ms)
2022-11-23T01:57:45.3471608Z [ RUN      ] FFTTest.fft_real
2022-11-23T01:57:45.3473485Z [       OK ] FFTTest.fft_real (0 ms)
2022-11-23T01:57:45.3473747Z [ RUN      ] FFTTest.fft_pad
2022-11-23T01:57:45.3483420Z [       OK ] FFTTest.fft_pad (0 ms)
2022-11-23T01:57:45.3483701Z [ RUN      ] FFTTest.fft_norm
2022-11-23T01:57:45.3485604Z [       OK ] FFTTest.fft_norm (0 ms)
2022-11-23T01:57:45.3485858Z [ RUN      ] FFTTest.ifft
2022-11-23T01:57:45.3489068Z [       OK ] FFTTest.ifft (0 ms)
2022-11-23T01:57:45.3489330Z [ RUN      ] FFTTest.fft_ifft
2022-11-23T01:57:45.3616279Z [       OK ] FFTTest.fft_ifft (12 ms)
2022-11-23T01:57:45.3616747Z [ RUN      ] FFTTest.rfft
2022-11-23T01:57:45.3630026Z [       OK ] FFTTest.rfft (1 ms)
2022-11-23T01:57:45.3630394Z [ RUN      ] FFTTest.rfft_irfft
2022-11-23T01:57:45.3631348Z [       OK ] FFTTest.rfft_irfft (0 ms)
2022-11-23T01:57:45.3631637Z [ RUN      ] FFTTest.ihfft
2022-11-23T01:57:45.3635406Z [       OK ] FFTTest.ihfft (0 ms)
2022-11-23T01:57:45.3635670Z [ RUN      ] FFTTest.hfft_ihfft
2022-11-23T01:57:45.3695973Z [       OK ] FFTTest.hfft_ihfft (6 ms)
2022-11-23T01:57:45.3696296Z [----------] 10 tests from FFTTest (30 ms total)
2022-11-23T01:57:45.3696548Z 
2022-11-23T01:57:45.3696820Z [----------] 132 tests from FunctionalTest
2022-11-23T01:57:45.3697091Z [ RUN      ] FunctionalTest.Conv1d
2022-11-23T01:57:45.3715968Z [       OK ] FunctionalTest.Conv1d (1 ms)
2022-11-23T01:57:45.3716272Z [ RUN      ] FunctionalTest.Conv2dEven
2022-11-23T01:57:45.3721925Z [       OK ] FunctionalTest.Conv2dEven (0 ms)
2022-11-23T01:57:45.3722255Z [ RUN      ] FunctionalTest.Conv2dUneven
2022-11-23T01:57:45.3724255Z [       OK ] FunctionalTest.Conv2dUneven (0 ms)
2022-11-23T01:57:45.3724667Z [ RUN      ] FunctionalTest.Conv3d
2022-11-23T01:57:45.3727562Z [       OK ] FunctionalTest.Conv3d (0 ms)
2022-11-23T01:57:45.3727957Z [ RUN      ] FunctionalTest.MaxPool1d
2022-11-23T01:57:45.3754232Z [       OK ] FunctionalTest.MaxPool1d (2 ms)
2022-11-23T01:57:45.3754939Z [ RUN      ] FunctionalTest.MaxPool2d
2022-11-23T01:57:45.3755389Z [       OK ] FunctionalTest.MaxPool2d (0 ms)
2022-11-23T01:57:45.3755915Z [ RUN      ] FunctionalTest.MaxPool2dBackward
2022-11-23T01:57:45.3756470Z [       OK ] FunctionalTest.MaxPool2dBackward (0 ms)
2022-11-23T01:57:45.3756958Z [ RUN      ] FunctionalTest.MaxPool3d
2022-11-23T01:57:45.3757450Z [       OK ] FunctionalTest.MaxPool3d (0 ms)
2022-11-23T01:57:45.3757961Z [ RUN      ] FunctionalTest.AvgPool1d
2022-11-23T01:57:45.3759265Z [       OK ] FunctionalTest.AvgPool1d (0 ms)
2022-11-23T01:57:45.3759735Z [ RUN      ] FunctionalTest.AvgPool2d
2022-11-23T01:57:45.3760228Z [       OK ] FunctionalTest.AvgPool2d (0 ms)
2022-11-23T01:57:45.3760732Z [ RUN      ] FunctionalTest.AvgPool3d
2022-11-23T01:57:45.3761211Z [       OK ] FunctionalTest.AvgPool3d (0 ms)
2022-11-23T01:57:45.3761764Z [ RUN      ] FunctionalTest.FractionalMaxPool2d
2022-11-23T01:57:45.3764536Z [       OK ] FunctionalTest.FractionalMaxPool2d (0 ms)
2022-11-23T01:57:45.3765091Z [ RUN      ] FunctionalTest.FractionalMaxPool3d
2022-11-23T01:57:45.3766054Z [       OK ] FunctionalTest.FractionalMaxPool3d (0 ms)
2022-11-23T01:57:45.3766668Z [ RUN      ] FunctionalTest.LPPool1d
2022-11-23T01:57:45.3768021Z [       OK ] FunctionalTest.LPPool1d (0 ms)
2022-11-23T01:57:45.3768572Z [ RUN      ] FunctionalTest.LPPool2d
2022-11-23T01:57:45.3769702Z [       OK ] FunctionalTest.LPPool2d (0 ms)
2022-11-23T01:57:45.3770298Z [ RUN      ] FunctionalTest.CosineSimilarity
2022-11-23T01:57:45.3771781Z [       OK ] FunctionalTest.CosineSimilarity (0 ms)
2022-11-23T01:57:45.3772455Z [ RUN      ] FunctionalTest.SmoothL1LossDefaultOptions
2022-11-23T01:57:45.3774895Z [       OK ] FunctionalTest.SmoothL1LossDefaultOptions (0 ms)
2022-11-23T01:57:45.3775580Z [ RUN      ] FunctionalTest.SmoothL1LossBeta
2022-11-23T01:57:45.3777012Z [       OK ] FunctionalTest.SmoothL1LossBeta (0 ms)
2022-11-23T01:57:45.3777596Z [ RUN      ] FunctionalTest.SmoothL1LossNoReduction
2022-11-23T01:57:45.3778925Z [       OK ] FunctionalTest.SmoothL1LossNoReduction (0 ms)
2022-11-23T01:57:45.3779532Z [ RUN      ] FunctionalTest.HuberLossDefaultOptions
2022-11-23T01:57:45.3780945Z [       OK ] FunctionalTest.HuberLossDefaultOptions (0 ms)
2022-11-23T01:57:45.3781698Z [ RUN      ] FunctionalTest.HuberLossDelta
2022-11-23T01:57:45.3782645Z [       OK ] FunctionalTest.HuberLossDelta (0 ms)
2022-11-23T01:57:45.3783170Z [ RUN      ] FunctionalTest.HuberLossNoReduction
2022-11-23T01:57:45.3784284Z [       OK ] FunctionalTest.HuberLossNoReduction (0 ms)
2022-11-23T01:57:45.3784973Z [ RUN      ] FunctionalTest.SoftMarginLossDefaultOptions
2022-11-23T01:57:45.3787753Z [       OK ] FunctionalTest.SoftMarginLossDefaultOptions (0 ms)
2022-11-23T01:57:45.3788555Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions
2022-11-23T01:57:45.3792539Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions (0 ms)
2022-11-23T01:57:45.3793355Z [ RUN      ] FunctionalTest.SoftMarginLossNoReduction
2022-11-23T01:57:45.3794271Z [       OK ] FunctionalTest.SoftMarginLossNoReduction (0 ms)
2022-11-23T01:57:45.3794855Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction
2022-11-23T01:57:45.3797952Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms)
2022-11-23T01:57:45.3798466Z [ RUN      ] FunctionalTest.PairwiseDistance
2022-11-23T01:57:45.3799315Z [       OK ] FunctionalTest.PairwiseDistance (0 ms)
2022-11-23T01:57:45.3799625Z [ RUN      ] FunctionalTest.PDist
2022-11-23T01:57:45.3801502Z [       OK ] FunctionalTest.PDist (0 ms)
2022-11-23T01:57:45.3802185Z [ RUN      ] FunctionalTest.AdaptiveMaxPool1d
2022-11-23T01:57:45.3802701Z [       OK ] FunctionalTest.AdaptiveMaxPool1d (0 ms)
2022-11-23T01:57:45.3803224Z [ RUN      ] FunctionalTest.AdaptiveMaxPool2d
2022-11-23T01:57:45.3803727Z [       OK ] FunctionalTest.AdaptiveMaxPool2d (0 ms)
2022-11-23T01:57:45.3804225Z [ RUN      ] FunctionalTest.AdaptiveMaxPool3d
2022-11-23T01:57:45.3804697Z [       OK ] FunctionalTest.AdaptiveMaxPool3d (0 ms)
2022-11-23T01:57:45.3805108Z [ RUN      ] FunctionalTest.AdaptiveAvgPool1d
2022-11-23T01:57:45.3805607Z [       OK ] FunctionalTest.AdaptiveAvgPool1d (0 ms)
2022-11-23T01:57:45.3806060Z [ RUN      ] FunctionalTest.AdaptiveAvgPool2d
2022-11-23T01:57:45.3806476Z [       OK ] FunctionalTest.AdaptiveAvgPool2d (0 ms)
2022-11-23T01:57:45.3806959Z [ RUN      ] FunctionalTest.AdaptiveAvgPool3d
2022-11-23T01:57:45.3807395Z [       OK ] FunctionalTest.AdaptiveAvgPool3d (0 ms)
2022-11-23T01:57:45.3807736Z [ RUN      ] FunctionalTest.L1Loss
2022-11-23T01:57:45.3808296Z [       OK ] FunctionalTest.L1Loss (0 ms)
2022-11-23T01:57:45.3808647Z [ RUN      ] FunctionalTest.MSELoss
2022-11-23T01:57:45.3809676Z [       OK ] FunctionalTest.MSELoss (0 ms)
2022-11-23T01:57:45.3809966Z [ RUN      ] FunctionalTest.BCELoss
2022-11-23T01:57:45.3811426Z [       OK ] FunctionalTest.BCELoss (0 ms)
2022-11-23T01:57:45.3811881Z [ RUN      ] FunctionalTest.KLDivLoss
2022-11-23T01:57:45.3812854Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2022-11-23T01:57:45.3813564Z [       OK ] FunctionalTest.KLDivLoss (0 ms)
2022-11-23T01:57:45.3813936Z [ RUN      ] FunctionalTest.HingeEmbeddingLoss
2022-11-23T01:57:45.3814958Z [       OK ] FunctionalTest.HingeEmbeddingLoss (0 ms)
2022-11-23T01:57:45.3815285Z [ RUN      ] FunctionalTest.GridSample
2022-11-23T01:57:45.3817641Z [W vision.h:87] Warning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. (function grid_sample)
2022-11-23T01:57:45.3819978Z [       OK ] FunctionalTest.GridSample (0 ms)
2022-11-23T01:57:45.3820281Z [ RUN      ] FunctionalTest.AffineGrid
2022-11-23T01:57:45.3960111Z [       OK ] FunctionalTest.AffineGrid (13 ms)
2022-11-23T01:57:45.3960510Z [ RUN      ] FunctionalTest.MultiMarginLoss
2022-11-23T01:57:45.3961153Z [       OK ] FunctionalTest.MultiMarginLoss (0 ms)
2022-11-23T01:57:45.3961489Z [ RUN      ] FunctionalTest.CosineEmbeddingLoss
2022-11-23T01:57:45.3963794Z [       OK ] FunctionalTest.CosineEmbeddingLoss (0 ms)
2022-11-23T01:57:45.3964242Z [ RUN      ] FunctionalTest.MultiLabelMarginLossDefaultOptions
2022-11-23T01:57:45.3966187Z [       OK ] FunctionalTest.MultiLabelMarginLossDefaultOptions (0 ms)
2022-11-23T01:57:45.3966779Z [ RUN      ] FunctionalTest.MultiLabelMarginLossNoReduction
2022-11-23T01:57:45.3967435Z [       OK ] FunctionalTest.MultiLabelMarginLossNoReduction (0 ms)
2022-11-23T01:57:45.3967854Z [ RUN      ] FunctionalTest.TripletMarginLoss
2022-11-23T01:57:45.3969441Z [       OK ] FunctionalTest.TripletMarginLoss (0 ms)
2022-11-23T01:57:45.3969911Z [ RUN      ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity
2022-11-23T01:57:45.4181853Z [       OK ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity (21 ms)
2022-11-23T01:57:45.4182544Z [ RUN      ] FunctionalTest.NLLLoss
2022-11-23T01:57:45.4183011Z [       OK ] FunctionalTest.NLLLoss (0 ms)
2022-11-23T01:57:45.4183468Z [ RUN      ] FunctionalTest.CrossEntropy
2022-11-23T01:57:45.4187053Z [       OK ] FunctionalTest.CrossEntropy (0 ms)
2022-11-23T01:57:45.4187600Z [ RUN      ] FunctionalTest.MaxUnpool1d
2022-11-23T01:57:45.4190690Z [       OK ] FunctionalTest.MaxUnpool1d (0 ms)
2022-11-23T01:57:45.4191208Z [ RUN      ] FunctionalTest.MaxUnpool2d
2022-11-23T01:57:45.4192808Z [       OK ] FunctionalTest.MaxUnpool2d (0 ms)
2022-11-23T01:57:45.4193317Z [ RUN      ] FunctionalTest.MaxUnpool3d
2022-11-23T01:57:45.4194965Z [       OK ] FunctionalTest.MaxUnpool3d (0 ms)
2022-11-23T01:57:45.4195504Z [ RUN      ] FunctionalTest.ELU
2022-11-23T01:57:45.4208698Z [       OK ] FunctionalTest.ELU (1 ms)
2022-11-23T01:57:45.4209166Z [ RUN      ] FunctionalTest.SELU
2022-11-23T01:57:45.4211968Z [       OK ] FunctionalTest.SELU (0 ms)
2022-11-23T01:57:45.4212460Z [ RUN      ] FunctionalTest.GLU
2022-11-23T01:57:45.4214132Z [       OK ] FunctionalTest.GLU (0 ms)
2022-11-23T01:57:45.4214641Z [ RUN      ] FunctionalTest.GELU
2022-11-23T01:57:45.4218765Z [       OK ] FunctionalTest.GELU (0 ms)
2022-11-23T01:57:45.4219300Z [ RUN      ] FunctionalTest.TanhGELU
2022-11-23T01:57:45.4220731Z [       OK ] FunctionalTest.TanhGELU (0 ms)
2022-11-23T01:57:45.4221041Z [ RUN      ] FunctionalTest.Hardshrink
2022-11-23T01:57:45.4227704Z [       OK ] FunctionalTest.Hardshrink (0 ms)
2022-11-23T01:57:45.4228055Z [ RUN      ] FunctionalTest.OneHot
2022-11-23T01:57:45.4230843Z [       OK ] FunctionalTest.OneHot (0 ms)
2022-11-23T01:57:45.4231348Z [ RUN      ] FunctionalTest.Hardtanh
2022-11-23T01:57:45.4254931Z [       OK ] FunctionalTest.Hardtanh (2 ms)
2022-11-23T01:57:45.4255470Z [ RUN      ] FunctionalTest.LeakyReLU
2022-11-23T01:57:45.4262715Z [       OK ] FunctionalTest.LeakyReLU (0 ms)
2022-11-23T01:57:45.4263025Z [ RUN      ] FunctionalTest.LogSigmoid
2022-11-23T01:57:45.4264942Z [       OK ] FunctionalTest.LogSigmoid (0 ms)
2022-11-23T01:57:45.4265301Z [ RUN      ] FunctionalTest.GumbelSoftmax
2022-11-23T01:57:45.4295416Z [       OK ] FunctionalTest.GumbelSoftmax (2 ms)
2022-11-23T01:57:45.4295865Z [ RUN      ] FunctionalTest.Softmax
2022-11-23T01:57:45.4297106Z [       OK ] FunctionalTest.Softmax (0 ms)
2022-11-23T01:57:45.4297432Z [ RUN      ] FunctionalTest.Softmin
2022-11-23T01:57:45.4298600Z [       OK ] FunctionalTest.Softmin (0 ms)
2022-11-23T01:57:45.4299005Z [ RUN      ] FunctionalTest.LogSoftmax
2022-11-23T01:57:45.4300015Z [       OK ] FunctionalTest.LogSoftmax (0 ms)
2022-11-23T01:57:45.4300372Z [ RUN      ] FunctionalTest.PReLU
2022-11-23T01:57:45.4302365Z [       OK ] FunctionalTest.PReLU (0 ms)
2022-11-23T01:57:45.4302773Z [ RUN      ] FunctionalTest.LayerNorm
2022-11-23T01:57:45.4303595Z [       OK ] FunctionalTest.LayerNorm (0 ms)
2022-11-23T01:57:45.4304158Z [ RUN      ] FunctionalTest.GroupNorm
2022-11-23T01:57:45.4304775Z [       OK ] FunctionalTest.GroupNorm (0 ms)
2022-11-23T01:57:45.4305200Z [ RUN      ] FunctionalTest.LocalResponseNorm
2022-11-23T01:57:45.4306918Z [       OK ] FunctionalTest.LocalResponseNorm (0 ms)
2022-11-23T01:57:45.4307244Z [ RUN      ] FunctionalTest.Linear
2022-11-23T01:57:45.4309830Z [       OK ] FunctionalTest.Linear (0 ms)
2022-11-23T01:57:45.4310223Z [ RUN      ] FunctionalTest.Embedding
2022-11-23T01:57:45.4310971Z [       OK ] FunctionalTest.Embedding (0 ms)
2022-11-23T01:57:45.4315795Z [ RUN      ] FunctionalTest.EmbeddingBag
2022-11-23T01:57:45.4316362Z [       OK ] FunctionalTest.EmbeddingBag (0 ms)
2022-11-23T01:57:45.4316666Z [ RUN      ] FunctionalTest.Bilinear
2022-11-23T01:57:45.4318456Z [       OK ] FunctionalTest.Bilinear (0 ms)
2022-11-23T01:57:45.4319009Z [ RUN      ] FunctionalTest.Normalize
2022-11-23T01:57:45.4322417Z [       OK ] FunctionalTest.Normalize (0 ms)
2022-11-23T01:57:45.4322934Z [ RUN      ] FunctionalTest.ReLU
2022-11-23T01:57:45.4325024Z [       OK ] FunctionalTest.ReLU (0 ms)
2022-11-23T01:57:45.4325363Z [ RUN      ] FunctionalTest.ReLUDefaultOptions
2022-11-23T01:57:45.4325798Z [       OK ] FunctionalTest.ReLUDefaultOptions (0 ms)
2022-11-23T01:57:45.4326096Z [ RUN      ] FunctionalTest.ReLU6
2022-11-23T01:57:45.4329524Z [       OK ] FunctionalTest.ReLU6 (0 ms)
2022-11-23T01:57:45.4330082Z [ RUN      ] FunctionalTest.ReLU6DefaultOptions
2022-11-23T01:57:45.4330681Z [       OK ] FunctionalTest.ReLU6DefaultOptions (0 ms)
2022-11-23T01:57:45.4331173Z [ RUN      ] FunctionalTest.RReLU
2022-11-23T01:57:45.4361743Z [       OK ] FunctionalTest.RReLU (3 ms)
2022-11-23T01:57:45.4362304Z [ RUN      ] FunctionalTest.RReLUDefaultOptions
2022-11-23T01:57:45.4363960Z [       OK ] FunctionalTest.RReLUDefaultOptions (0 ms)
2022-11-23T01:57:45.4364553Z [ RUN      ] FunctionalTest.CELU
2022-11-23T01:57:45.4377143Z [       OK ] FunctionalTest.CELU (1 ms)
2022-11-23T01:57:45.4377792Z [ RUN      ] FunctionalTest.CELUDefaultOptions
2022-11-23T01:57:45.4378431Z [       OK ] FunctionalTest.CELUDefaultOptions (0 ms)
2022-11-23T01:57:45.4379040Z [ RUN      ] FunctionalTest.PixelShuffle
2022-11-23T01:57:45.4380264Z [       OK ] FunctionalTest.PixelShuffle (0 ms)
2022-11-23T01:57:45.4380871Z [ RUN      ] FunctionalTest.PixelUnshuffle
2022-11-23T01:57:45.4382257Z [       OK ] FunctionalTest.PixelUnshuffle (0 ms)
2022-11-23T01:57:45.4382845Z [ RUN      ] FunctionalTest.Softplus
2022-11-23T01:57:45.4390562Z [       OK ] FunctionalTest.Softplus (0 ms)
2022-11-23T01:57:45.4391235Z [ RUN      ] FunctionalTest.SoftplusDefaultOptions
2022-11-23T01:57:45.4391919Z [       OK ] FunctionalTest.SoftplusDefaultOptions (0 ms)
2022-11-23T01:57:45.4392534Z [ RUN      ] FunctionalTest.Fold
2022-11-23T01:57:45.4393075Z [       OK ] FunctionalTest.Fold (0 ms)
2022-11-23T01:57:45.4393582Z [ RUN      ] FunctionalTest.Unfold
2022-11-23T01:57:45.4394838Z [       OK ] FunctionalTest.Unfold (0 ms)
2022-11-23T01:57:45.4395293Z [ RUN      ] FunctionalTest.Softshrink
2022-11-23T01:57:45.4401003Z [       OK ] FunctionalTest.Softshrink (0 ms)
2022-11-23T01:57:45.4401461Z [ RUN      ] FunctionalTest.SoftshrinkDefaultOptions
2022-11-23T01:57:45.4402314Z [       OK ] FunctionalTest.SoftshrinkDefaultOptions (0 ms)
2022-11-23T01:57:45.4402741Z [ RUN      ] FunctionalTest.Softsign
2022-11-23T01:57:45.4403638Z [       OK ] FunctionalTest.Softsign (0 ms)
2022-11-23T01:57:45.4404124Z [ RUN      ] FunctionalTest.Mish
2022-11-23T01:57:45.4404976Z [       OK ] FunctionalTest.Mish (0 ms)
2022-11-23T01:57:45.4405695Z [ RUN      ] FunctionalTest.Tanhshrink
2022-11-23T01:57:45.4406049Z [       OK ] FunctionalTest.Tanhshrink (0 ms)
2022-11-23T01:57:45.4406344Z [ RUN      ] FunctionalTest.Threshold
2022-11-23T01:57:45.4417910Z [       OK ] FunctionalTest.Threshold (1 ms)
2022-11-23T01:57:45.4418236Z [ RUN      ] FunctionalTest.BatchNorm1d
2022-11-23T01:57:45.4419949Z [       OK ] FunctionalTest.BatchNorm1d (0 ms)
2022-11-23T01:57:45.4420495Z [ RUN      ] FunctionalTest.BatchNorm1dDefaultOptions
2022-11-23T01:57:45.4421076Z [       OK ] FunctionalTest.BatchNorm1dDefaultOptions (0 ms)
2022-11-23T01:57:45.4421570Z [ RUN      ] FunctionalTest.BatchNorm2d
2022-11-23T01:57:45.4422234Z [       OK ] FunctionalTest.BatchNorm2d (0 ms)
2022-11-23T01:57:45.4422747Z [ RUN      ] FunctionalTest.BatchNorm2dDefaultOptions
2022-11-23T01:57:45.4423494Z [       OK ] FunctionalTest.BatchNorm2dDefaultOptions (0 ms)
2022-11-23T01:57:45.4423986Z [ RUN      ] FunctionalTest.BatchNorm3d
2022-11-23T01:57:45.4424755Z [       OK ] FunctionalTest.BatchNorm3d (0 ms)
2022-11-23T01:57:45.4425268Z [ RUN      ] FunctionalTest.BatchNorm3dDefaultOptions
2022-11-23T01:57:45.4426120Z [       OK ] FunctionalTest.BatchNorm3dDefaultOptions (0 ms)
2022-11-23T01:57:45.4426641Z [ RUN      ] FunctionalTest.InstanceNorm1d
2022-11-23T01:57:45.4428923Z [       OK ] FunctionalTest.InstanceNorm1d (0 ms)
2022-11-23T01:57:45.4429555Z [ RUN      ] FunctionalTest.InstanceNorm1dDefaultOptions
2022-11-23T01:57:45.4430589Z [       OK ] FunctionalTest.InstanceNorm1dDefaultOptions (0 ms)
2022-11-23T01:57:45.4431117Z [ RUN      ] FunctionalTest.InstanceNorm2d
2022-11-23T01:57:45.4432992Z [       OK ] FunctionalTest.InstanceNorm2d (0 ms)
2022-11-23T01:57:45.4433523Z [ RUN      ] FunctionalTest.InstanceNorm2dDefaultOptions
2022-11-23T01:57:45.4434633Z [       OK ] FunctionalTest.InstanceNorm2dDefaultOptions (0 ms)
2022-11-23T01:57:45.4435611Z [ RUN      ] FunctionalTest.InstanceNorm3d
2022-11-23T01:57:45.4437585Z [       OK ] FunctionalTest.InstanceNorm3d (0 ms)
2022-11-23T01:57:45.4438227Z [ RUN      ] FunctionalTest.InstanceNorm3dDefaultOptions
2022-11-23T01:57:45.4439922Z [       OK ] FunctionalTest.InstanceNorm3dDefaultOptions (0 ms)
2022-11-23T01:57:45.4440526Z [ RUN      ] FunctionalTest.Interpolate
2022-11-23T01:57:45.4441372Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:45.4442652Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:45.4443730Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:45.4444705Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:45.4445803Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:45.4446760Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:45.4447757Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:45.4448645Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:45.4523192Z [       OK ] FunctionalTest.Interpolate (8 ms)
2022-11-23T01:57:45.4523580Z [ RUN      ] FunctionalTest.Pad1
2022-11-23T01:57:45.4524406Z [       OK ] FunctionalTest.Pad1 (0 ms)
2022-11-23T01:57:45.4524712Z [ RUN      ] FunctionalTest.Pad2
2022-11-23T01:57:45.4526217Z [       OK ] FunctionalTest.Pad2 (0 ms)
2022-11-23T01:57:45.4526720Z [ RUN      ] FunctionalTest.Pad3
2022-11-23T01:57:45.4530446Z [       OK ] FunctionalTest.Pad3 (0 ms)
2022-11-23T01:57:45.4530822Z [ RUN      ] FunctionalTest.Pad4
2022-11-23T01:57:45.4532201Z [       OK ] FunctionalTest.Pad4 (0 ms)
2022-11-23T01:57:45.4532507Z [ RUN      ] FunctionalTest.Pad5
2022-11-23T01:57:45.4534983Z [       OK ] FunctionalTest.Pad5 (0 ms)
2022-11-23T01:57:45.4535342Z [ RUN      ] FunctionalTest.Pad6
2022-11-23T01:57:45.4537356Z [       OK ] FunctionalTest.Pad6 (0 ms)
2022-11-23T01:57:45.4537847Z [ RUN      ] FunctionalTest.Pad7
2022-11-23T01:57:45.4538344Z [       OK ] FunctionalTest.Pad7 (0 ms)
2022-11-23T01:57:45.4538834Z [ RUN      ] FunctionalTest.Pad8
2022-11-23T01:57:45.4539307Z [       OK ] FunctionalTest.Pad8 (0 ms)
2022-11-23T01:57:45.4539795Z [ RUN      ] FunctionalTest.CTCLoss
2022-11-23T01:57:45.4648888Z [       OK ] FunctionalTest.CTCLoss (11 ms)
2022-11-23T01:57:45.4649308Z [ RUN      ] FunctionalTest.PoissonNLLLoss
2022-11-23T01:57:45.4651189Z [       OK ] FunctionalTest.PoissonNLLLoss (0 ms)
2022-11-23T01:57:45.4651795Z [ RUN      ] FunctionalTest.MarginRankingLoss
2022-11-23T01:57:45.4654245Z [       OK ] FunctionalTest.MarginRankingLoss (0 ms)
2022-11-23T01:57:45.4654827Z [ RUN      ] FunctionalTest.ConvTranspose1d
2022-11-23T01:57:45.4657288Z [       OK ] FunctionalTest.ConvTranspose1d (0 ms)
2022-11-23T01:57:45.4657876Z [ RUN      ] FunctionalTest.ConvTranspose2dEven
2022-11-23T01:57:45.4661308Z [       OK ] FunctionalTest.ConvTranspose2dEven (0 ms)
2022-11-23T01:57:45.4661776Z [ RUN      ] FunctionalTest.ConvTranspose2dUneven
2022-11-23T01:57:45.4664791Z [       OK ] FunctionalTest.ConvTranspose2dUneven (0 ms)
2022-11-23T01:57:45.4665126Z [ RUN      ] FunctionalTest.ConvTranspose3d
2022-11-23T01:57:45.4667820Z [       OK ] FunctionalTest.ConvTranspose3d (0 ms)
2022-11-23T01:57:45.4668156Z [ RUN      ] FunctionalTest.AlphaDropout
2022-11-23T01:57:45.4676867Z [       OK ] FunctionalTest.AlphaDropout (0 ms)
2022-11-23T01:57:45.4677213Z [ RUN      ] FunctionalTest.FeatureAlphaDropout
2022-11-23T01:57:45.4685514Z [       OK ] FunctionalTest.FeatureAlphaDropout (0 ms)
2022-11-23T01:57:45.4685836Z [ RUN      ] FunctionalTest.Dropout
2022-11-23T01:57:45.4692162Z [       OK ] FunctionalTest.Dropout (0 ms)
2022-11-23T01:57:45.4692476Z [ RUN      ] FunctionalTest.Dropout2d
2022-11-23T01:57:45.4702485Z [       OK ] FunctionalTest.Dropout2d (1 ms)
2022-11-23T01:57:45.4702813Z [ RUN      ] FunctionalTest.Dropout3d
2022-11-23T01:57:45.4711710Z [       OK ] FunctionalTest.Dropout3d (0 ms)
2022-11-23T01:57:45.4712043Z [ RUN      ] FunctionalTest.isfinite
2022-11-23T01:57:45.4717599Z [       OK ] FunctionalTest.isfinite (0 ms)
2022-11-23T01:57:45.4717880Z [ RUN      ] FunctionalTest.isinf
2022-11-23T01:57:45.4721627Z [       OK ] FunctionalTest.isinf (0 ms)
2022-11-23T01:57:45.4721955Z [ RUN      ] FunctionalTest.AllClose
2022-11-23T01:57:45.4784566Z [       OK ] FunctionalTest.AllClose (6 ms)
2022-11-23T01:57:45.4784919Z [ RUN      ] FunctionalTest.BCEWithLogitsLoss
2022-11-23T01:57:45.4822112Z [       OK ] FunctionalTest.BCEWithLogitsLoss (3 ms)
2022-11-23T01:57:45.4822477Z [----------] 132 tests from FunctionalTest (112 ms total)
2022-11-23T01:57:45.4822644Z 
2022-11-23T01:57:45.4822785Z [----------] 1 test from IntegrationTest
2022-11-23T01:57:45.4823080Z [ RUN      ] IntegrationTest.CartPole
2022-11-23T01:57:59.1525449Z [       OK ] IntegrationTest.CartPole (13670 ms)
2022-11-23T01:57:59.1525937Z [----------] 1 test from IntegrationTest (13670 ms total)
2022-11-23T01:57:59.1526107Z 
2022-11-23T01:57:59.1526239Z [----------] 9 tests from InitTest
2022-11-23T01:57:59.1526592Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierUniform
2022-11-23T01:57:59.1538137Z [       OK ] InitTest.ProducesPyTorchValues_XavierUniform (1 ms)
2022-11-23T01:57:59.1538516Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierNormal
2022-11-23T01:57:59.1550071Z [       OK ] InitTest.ProducesPyTorchValues_XavierNormal (1 ms)
2022-11-23T01:57:59.1550450Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingNormal
2022-11-23T01:57:59.1562538Z [       OK ] InitTest.ProducesPyTorchValues_KaimingNormal (1 ms)
2022-11-23T01:57:59.1563182Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingUniform
2022-11-23T01:57:59.1574604Z [       OK ] InitTest.ProducesPyTorchValues_KaimingUniform (1 ms)
2022-11-23T01:57:59.1575236Z [ RUN      ] InitTest.CanInitializeTensorThatRequiresGrad
2022-11-23T01:57:59.1602003Z [       OK ] InitTest.CanInitializeTensorThatRequiresGrad (2 ms)
2022-11-23T01:57:59.1602773Z [ RUN      ] InitTest.CalculateGainWithTanh
2022-11-23T01:57:59.1603133Z [       OK ] InitTest.CalculateGainWithTanh (0 ms)
2022-11-23T01:57:59.1603457Z [ RUN      ] InitTest.CalculateGainWithRelu
2022-11-23T01:57:59.1603787Z [       OK ] InitTest.CalculateGainWithRelu (0 ms)
2022-11-23T01:57:59.1604112Z [ RUN      ] InitTest.CalculateGainWithLeakyRelu
2022-11-23T01:57:59.1604464Z [       OK ] InitTest.CalculateGainWithLeakyRelu (0 ms)
2022-11-23T01:57:59.1604825Z [ RUN      ] InitTest.CanInitializeCnnWithOrthogonal
2022-11-23T01:57:59.1621643Z [       OK ] InitTest.CanInitializeCnnWithOrthogonal (1 ms)
2022-11-23T01:57:59.1622405Z [----------] 9 tests from InitTest (9 ms total)
2022-11-23T01:57:59.1622559Z 
2022-11-23T01:57:59.1622722Z [----------] 6 tests from TorchScriptTest
2022-11-23T01:57:59.1623072Z [ RUN      ] TorchScriptTest.CanCompileMultipleFunctions
2022-11-23T01:57:59.2004610Z [       OK ] TorchScriptTest.CanCompileMultipleFunctions (38 ms)
2022-11-23T01:57:59.2005084Z [ RUN      ] TorchScriptTest.TestNestedIValueModuleArgMatching
2022-11-23T01:57:59.2034733Z [       OK ] TorchScriptTest.TestNestedIValueModuleArgMatching (3 ms)
2022-11-23T01:57:59.2035307Z [ RUN      ] TorchScriptTest.TestDictArgMatching
2022-11-23T01:57:59.2037858Z [       OK ] TorchScriptTest.TestDictArgMatching (0 ms)
2022-11-23T01:57:59.2038480Z [ RUN      ] TorchScriptTest.TestTupleArgMatching
2022-11-23T01:57:59.2039314Z [       OK ] TorchScriptTest.TestTupleArgMatching (0 ms)
2022-11-23T01:57:59.2039946Z [ RUN      ] TorchScriptTest.TestOptionalArgMatching
2022-11-23T01:57:59.2044349Z [       OK ] TorchScriptTest.TestOptionalArgMatching (0 ms)
2022-11-23T01:57:59.2044940Z [ RUN      ] TorchScriptTest.TestPickle
2022-11-23T01:57:59.2045500Z [       OK ] TorchScriptTest.TestPickle (0 ms)
2022-11-23T01:57:59.2046030Z [----------] 6 tests from TorchScriptTest (42 ms total)
2022-11-23T01:57:59.2046319Z 
2022-11-23T01:57:59.2046595Z [----------] 3 tests from MakeUniqueTest
2022-11-23T01:57:59.2047146Z [ RUN      ] MakeUniqueTest.ForwardRvaluesCorrectly
2022-11-23T01:57:59.2047506Z [       OK ] MakeUniqueTest.ForwardRvaluesCorrectly (0 ms)
2022-11-23T01:57:59.2047872Z [ RUN      ] MakeUniqueTest.ForwardLvaluesCorrectly
2022-11-23T01:57:59.2048236Z [       OK ] MakeUniqueTest.ForwardLvaluesCorrectly (0 ms)
2022-11-23T01:57:59.2048605Z [ RUN      ] MakeUniqueTest.CanConstructUniquePtrOfArray
2022-11-23T01:57:59.2049011Z [       OK ] MakeUniqueTest.CanConstructUniquePtrOfArray (0 ms)
2022-11-23T01:57:59.2049379Z [----------] 3 tests from MakeUniqueTest (0 ms total)
2022-11-23T01:57:59.2049532Z 
2022-11-23T01:57:59.2049681Z [----------] 2 tests from MetaTensorTest
2022-11-23T01:57:59.2049963Z [ RUN      ] MetaTensorTest.MetaDeviceApi
2022-11-23T01:57:59.2050292Z [       OK ] MetaTensorTest.MetaDeviceApi (0 ms)
2022-11-23T01:57:59.2050614Z [ RUN      ] MetaTensorTest.MetaNamespaceApi
2022-11-23T01:57:59.2050935Z [       OK ] MetaTensorTest.MetaNamespaceApi (0 ms)
2022-11-23T01:57:59.2051267Z [----------] 2 tests from MetaTensorTest (0 ms total)
2022-11-23T01:57:59.2051420Z 
2022-11-23T01:57:59.2051559Z [----------] 2 tests from UtilsTest
2022-11-23T01:57:59.2051817Z [ RUN      ] UtilsTest.WarnOnce
2022-11-23T01:57:59.2052073Z [       OK ] UtilsTest.WarnOnce (0 ms)
2022-11-23T01:57:59.2052388Z [ RUN      ] UtilsTest.AmbiguousOperatorDefaults
2022-11-23T01:57:59.2052737Z [       OK ] UtilsTest.AmbiguousOperatorDefaults (0 ms)
2022-11-23T01:57:59.2053057Z [----------] 2 tests from UtilsTest (0 ms total)
2022-11-23T01:57:59.2053200Z 
2022-11-23T01:57:59.2053340Z [----------] 1 test from NoGradTest
2022-11-23T01:57:59.2053804Z [ RUN      ] NoGradTest.SetsGradModeCorrectly
2022-11-23T01:57:59.2081306Z [       OK ] NoGradTest.SetsGradModeCorrectly (3 ms)
2022-11-23T01:57:59.2081916Z [----------] 1 test from NoGradTest (3 ms total)
2022-11-23T01:57:59.2082110Z 
2022-11-23T01:57:59.2082337Z [----------] 3 tests from AutogradTest
2022-11-23T01:57:59.2082723Z [ RUN      ] AutogradTest.CanTakeDerivatives
2022-11-23T01:57:59.2083247Z [       OK ] AutogradTest.CanTakeDerivatives (0 ms)
2022-11-23T01:57:59.2083910Z [ RUN      ] AutogradTest.CanTakeDerivativesOfZeroDimTensors
2022-11-23T01:57:59.2084778Z [       OK ] AutogradTest.CanTakeDerivativesOfZeroDimTensors (0 ms)
2022-11-23T01:57:59.2085303Z [ RUN      ] AutogradTest.CanPassCustomGradientInputs
2022-11-23T01:57:59.2086445Z [       OK ] AutogradTest.CanPassCustomGradientInputs (0 ms)
2022-11-23T01:57:59.2087074Z [----------] 3 tests from AutogradTest (0 ms total)
2022-11-23T01:57:59.2087376Z 
2022-11-23T01:57:59.2087596Z [----------] 1 test from OptionalArrayRefTest
2022-11-23T01:57:59.2087939Z [ RUN      ] OptionalArrayRefTest.DanglingPointerFix
2022-11-23T01:57:59.2088304Z [       OK ] OptionalArrayRefTest.DanglingPointerFix (0 ms)
2022-11-23T01:57:59.2088681Z [----------] 1 test from OptionalArrayRefTest (0 ms total)
2022-11-23T01:57:59.2088915Z 
2022-11-23T01:57:59.2089078Z [----------] 52 tests from ModuleTest
2022-11-23T01:57:59.2089472Z [ RUN      ] ModuleTest.CanEnableAndDisableTrainingMode
2022-11-23T01:57:59.2089921Z [       OK ] ModuleTest.CanEnableAndDisableTrainingMode (0 ms)
2022-11-23T01:57:59.2090254Z [ RUN      ] ModuleTest.ZeroGrad
2022-11-23T01:57:59.2090534Z [       OK ] ModuleTest.ZeroGrad (0 ms)
2022-11-23T01:57:59.2090826Z [ RUN      ] ModuleTest.ZeroGradWithUndefined
2022-11-23T01:57:59.2091170Z [       OK ] ModuleTest.ZeroGradWithUndefined (0 ms)
2022-11-23T01:57:59.2091568Z [ RUN      ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName
2022-11-23T01:57:59.2114509Z [       OK ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName (2 ms)
2022-11-23T01:57:59.2114993Z [ RUN      ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName
2022-11-23T01:57:59.2130631Z [       OK ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName (1 ms)
2022-11-23T01:57:59.2131091Z [ RUN      ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName
2022-11-23T01:57:59.2143655Z [       OK ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName (1 ms)
2022-11-23T01:57:59.2144030Z [ RUN      ] ModuleTest.ReplaceModule
2022-11-23T01:57:59.2144335Z [       OK ] ModuleTest.ReplaceModule (0 ms)
2022-11-23T01:57:59.2144626Z [ RUN      ] ModuleTest.UnregisterModule
2022-11-23T01:57:59.2160679Z [       OK ] ModuleTest.UnregisterModule (1 ms)
2022-11-23T01:57:59.2161170Z [ RUN      ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName
2022-11-23T01:57:59.2193082Z [       OK ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName (3 ms)
2022-11-23T01:57:59.2193607Z [ RUN      ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName
2022-11-23T01:57:59.2215025Z [       OK ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName (2 ms)
2022-11-23T01:57:59.2215510Z [ RUN      ] ModuleTest.RegisterParameterUndefinedTensor
2022-11-23T01:57:59.2215917Z [       OK ] ModuleTest.RegisterParameterUndefinedTensor (0 ms)
2022-11-23T01:57:59.2216328Z [ RUN      ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName
2022-11-23T01:57:59.2247346Z [       OK ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName (3 ms)
2022-11-23T01:57:59.2247856Z [ RUN      ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName
2022-11-23T01:57:59.2269662Z [       OK ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName (2 ms)
2022-11-23T01:57:59.2270425Z [ RUN      ] ModuleTest.CanGetName
2022-11-23T01:57:59.2270745Z [       OK ] ModuleTest.CanGetName (0 ms)
2022-11-23T01:57:59.2271150Z [ RUN      ] ModuleTest.AsCastsModulesCorrectly
2022-11-23T01:57:59.2271496Z [       OK ] ModuleTest.AsCastsModulesCorrectly (0 ms)
2022-11-23T01:57:59.2271967Z [ RUN      ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor
2022-11-23T01:57:59.2272447Z [       OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor (0 ms)
2022-11-23T01:57:59.2272982Z [ RUN      ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor
2022-11-23T01:57:59.2273614Z [       OK ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor (0 ms)
2022-11-23T01:57:59.2274131Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows
2022-11-23T01:57:59.2287327Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows (1 ms)
2022-11-23T01:57:59.2287917Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow
2022-11-23T01:57:59.2288474Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow (0 ms)
2022-11-23T01:57:59.2288994Z [ RUN      ] ModuleTest.CloneCreatesDistinctParameters
2022-11-23T01:57:59.2292906Z [       OK ] ModuleTest.CloneCreatesDistinctParameters (0 ms)
2022-11-23T01:57:59.2293495Z [ RUN      ] ModuleTest.ClonePreservesExternalReferences
2022-11-23T01:57:59.2294191Z [       OK ] ModuleTest.ClonePreservesExternalReferences (0 ms)
2022-11-23T01:57:59.2294760Z [ RUN      ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules
2022-11-23T01:57:59.2295750Z [       OK ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules (0 ms)
2022-11-23T01:57:59.2296573Z [ RUN      ] ModuleTest.HasCorrectNumberOfParameters
2022-11-23T01:57:59.2297304Z [       OK ] ModuleTest.HasCorrectNumberOfParameters (0 ms)
2022-11-23T01:57:59.2297785Z [ RUN      ] ModuleTest.ContainsParametersWithTheCorrectName
2022-11-23T01:57:59.2298197Z [       OK ] ModuleTest.ContainsParametersWithTheCorrectName (0 ms)
2022-11-23T01:57:59.2298584Z [ RUN      ] ModuleTest.HasCorrectNumberOfBuffers
2022-11-23T01:57:59.2298941Z [       OK ] ModuleTest.HasCorrectNumberOfBuffers (0 ms)
2022-11-23T01:57:59.2299320Z [ RUN      ] ModuleTest.ContainsBuffersWithTheCorrectName
2022-11-23T01:57:59.2299714Z [       OK ] ModuleTest.ContainsBuffersWithTheCorrectName (0 ms)
2022-11-23T01:57:59.2300228Z [ RUN      ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl
2022-11-23T01:57:59.2300840Z [       OK ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl (0 ms)
2022-11-23T01:57:59.2301422Z [ RUN      ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl
2022-11-23T01:57:59.2302102Z [       OK ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl (0 ms)
2022-11-23T01:57:59.2302655Z [ RUN      ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState
2022-11-23T01:57:59.2308823Z [       OK ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState (1 ms)
2022-11-23T01:57:59.2309424Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel
2022-11-23T01:57:59.2310074Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel (0 ms)
2022-11-23T01:57:59.2310672Z [ RUN      ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse
2022-11-23T01:57:59.2311379Z [       OK ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2022-11-23T01:57:59.2312096Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel
2022-11-23T01:57:59.2313232Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2022-11-23T01:57:59.2314068Z [ RUN      ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse
2022-11-23T01:57:59.2314842Z [       OK ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2022-11-23T01:57:59.2315635Z [ RUN      ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel
2022-11-23T01:57:59.2316386Z [       OK ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel (0 ms)
2022-11-23T01:57:59.2317055Z [ RUN      ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel
2022-11-23T01:57:59.2317607Z [       OK ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2022-11-23T01:57:59.2318208Z [ RUN      ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel
2022-11-23T01:57:59.2318692Z [       OK ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T01:57:59.2319177Z [ RUN      ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel
2022-11-23T01:57:59.2319696Z [       OK ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T01:57:59.2320179Z [ RUN      ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel
2022-11-23T01:57:59.2320639Z [       OK ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T01:57:59.2321098Z [ RUN      ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel
2022-11-23T01:57:59.2321591Z [       OK ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T01:57:59.2322071Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel
2022-11-23T01:57:59.2322539Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel (0 ms)
2022-11-23T01:57:59.2323049Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel
2022-11-23T01:57:59.2323616Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2022-11-23T01:57:59.2324136Z [ RUN      ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel
2022-11-23T01:57:59.2324613Z [       OK ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel (0 ms)
2022-11-23T01:57:59.2325145Z [ RUN      ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel
2022-11-23T01:57:59.2325710Z [       OK ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2022-11-23T01:57:59.2326172Z [ RUN      ] ModuleTest.ModuleApplyIteratesCorreclty
2022-11-23T01:57:59.2326537Z [       OK ] ModuleTest.ModuleApplyIteratesCorreclty (0 ms)
2022-11-23T01:57:59.2326928Z [ RUN      ] ModuleTest.ConstModuleApplyIteratesCorreclty
2022-11-23T01:57:59.2327335Z [       OK ] ModuleTest.ConstModuleApplyIteratesCorreclty (0 ms)
2022-11-23T01:57:59.2327726Z [ RUN      ] ModuleTest.NamedModuleApplyIteratesCorreclty
2022-11-23T01:57:59.2328132Z [       OK ] ModuleTest.NamedModuleApplyIteratesCorreclty (0 ms)
2022-11-23T01:57:59.2328553Z [ RUN      ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty
2022-11-23T01:57:59.2328993Z [       OK ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty (0 ms)
2022-11-23T01:57:59.2329404Z [ RUN      ] ModuleTest.ModulePointerApplyIteratesCorreclty
2022-11-23T01:57:59.2329825Z [       OK ] ModuleTest.ModulePointerApplyIteratesCorreclty (0 ms)
2022-11-23T01:57:59.2330256Z [ RUN      ] ModuleTest.NamedModulePointerApplyIteratesCorreclty
2022-11-23T01:57:59.2330696Z [       OK ] ModuleTest.NamedModulePointerApplyIteratesCorreclty (0 ms)
2022-11-23T01:57:59.2331184Z [ RUN      ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr
2022-11-23T01:57:59.2347057Z [       OK ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr (2 ms)
2022-11-23T01:57:59.2347840Z [ RUN      ] ModuleTest.PrettyPrint
2022-11-23T01:57:59.2348323Z [       OK ] ModuleTest.PrettyPrint (0 ms)
2022-11-23T01:57:59.2348733Z [ RUN      ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl
2022-11-23T01:57:59.2349229Z [       OK ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl (0 ms)
2022-11-23T01:57:59.2349636Z [----------] 52 tests from ModuleTest (26 ms total)
2022-11-23T01:57:59.2350111Z 
2022-11-23T01:57:59.2350268Z [----------] 11 tests from ModuleDictTest
2022-11-23T01:57:59.2350770Z [ RUN      ] ModuleDictTest.ConstructsFromList
2022-11-23T01:57:59.2351260Z [       OK ] ModuleDictTest.ConstructsFromList (0 ms)
2022-11-23T01:57:59.2351765Z [ RUN      ] ModuleDictTest.ConstructsFromordereddict
2022-11-23T01:57:59.2352157Z [       OK ] ModuleDictTest.ConstructsFromordereddict (0 ms)
2022-11-23T01:57:59.2352537Z [ RUN      ] ModuleDictTest.UpdatePopClearContains
2022-11-23T01:57:59.2360526Z [       OK ] ModuleDictTest.UpdatePopClearContains (1 ms)
2022-11-23T01:57:59.2361170Z [ RUN      ] ModuleDictTest.UpdateExist
2022-11-23T01:57:59.2361523Z [       OK ] ModuleDictTest.UpdateExist (0 ms)
2022-11-23T01:57:59.2361815Z [ RUN      ] ModuleDictTest.Keys
2022-11-23T01:57:59.2373081Z [       OK ] ModuleDictTest.Keys (1 ms)
2022-11-23T01:57:59.2373370Z [ RUN      ] ModuleDictTest.Values
2022-11-23T01:57:59.2373661Z [       OK ] ModuleDictTest.Values (0 ms)
2022-11-23T01:57:59.2374098Z [ RUN      ] ModuleDictTest.SanityCheckForHoldingStandardModules
2022-11-23T01:57:59.2375075Z [       OK ] ModuleDictTest.SanityCheckForHoldingStandardModules (0 ms)
2022-11-23T01:57:59.2375560Z [ RUN      ] ModuleDictTest.HasReferenceSemantics
2022-11-23T01:57:59.2375924Z [       OK ] ModuleDictTest.HasReferenceSemantics (0 ms)
2022-11-23T01:57:59.2376238Z [ RUN      ] ModuleDictTest.IsCloneable
2022-11-23T01:57:59.2379156Z [       OK ] ModuleDictTest.IsCloneable (0 ms)
2022-11-23T01:57:59.2379569Z [ RUN      ] ModuleDictTest.RegistersElementsAsSubmodules
2022-11-23T01:57:59.2380359Z [       OK ] ModuleDictTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T01:57:59.2380785Z [ RUN      ] ModuleDictTest.PrettyPrintModuleDict
2022-11-23T01:57:59.2382011Z [       OK ] ModuleDictTest.PrettyPrintModuleDict (0 ms)
2022-11-23T01:57:59.2382555Z [----------] 11 tests from ModuleDictTest (3 ms total)
2022-11-23T01:57:59.2382786Z 
2022-11-23T01:57:59.2383032Z [----------] 15 tests from ModuleListTest
2022-11-23T01:57:59.2383679Z [ RUN      ] ModuleListTest.ConstructsFromSharedPointer
2022-11-23T01:57:59.2384434Z [       OK ] ModuleListTest.ConstructsFromSharedPointer (0 ms)
2022-11-23T01:57:59.2384852Z [ RUN      ] ModuleListTest.ConstructsFromConcreteType
2022-11-23T01:57:59.2385235Z [       OK ] ModuleListTest.ConstructsFromConcreteType (0 ms)
2022-11-23T01:57:59.2385631Z [ RUN      ] ModuleListTest.ConstructsFromModuleHolder
2022-11-23T01:57:59.2386018Z [       OK ] ModuleListTest.ConstructsFromModuleHolder (0 ms)
2022-11-23T01:57:59.2386373Z [ RUN      ] ModuleListTest.PushBackAddsAnElement
2022-11-23T01:57:59.2386735Z [       OK ] ModuleListTest.PushBackAddsAnElement (0 ms)
2022-11-23T01:57:59.2387056Z [ RUN      ] ModuleListTest.Insertion
2022-11-23T01:57:59.2387358Z [       OK ] ModuleListTest.Insertion (0 ms)
2022-11-23T01:57:59.2387651Z [ RUN      ] ModuleListTest.AccessWithAt
2022-11-23T01:57:59.2407569Z [       OK ] ModuleListTest.AccessWithAt (2 ms)
2022-11-23T01:57:59.2407921Z [ RUN      ] ModuleListTest.AccessWithPtr
2022-11-23T01:57:59.2430094Z [       OK ] ModuleListTest.AccessWithPtr (2 ms)
2022-11-23T01:57:59.2430581Z [ RUN      ] ModuleListTest.SanityCheckForHoldingStandardModules
2022-11-23T01:57:59.2431759Z [       OK ] ModuleListTest.SanityCheckForHoldingStandardModules (0 ms)
2022-11-23T01:57:59.2432567Z [ RUN      ] ModuleListTest.ExtendPushesModulesFromOtherModuleList
2022-11-23T01:57:59.2433043Z [       OK ] ModuleListTest.ExtendPushesModulesFromOtherModuleList (0 ms)
2022-11-23T01:57:59.2433453Z [ RUN      ] ModuleListTest.HasReferenceSemantics
2022-11-23T01:57:59.2433817Z [       OK ] ModuleListTest.HasReferenceSemantics (0 ms)
2022-11-23T01:57:59.2434132Z [ RUN      ] ModuleListTest.IsCloneable
2022-11-23T01:57:59.2436042Z [       OK ] ModuleListTest.IsCloneable (0 ms)
2022-11-23T01:57:59.2436678Z [ RUN      ] ModuleListTest.RegistersElementsAsSubmodules
2022-11-23T01:57:59.2437278Z [       OK ] ModuleListTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T01:57:59.2437707Z [ RUN      ] ModuleListTest.NestingIsPossible
2022-11-23T01:57:59.2438118Z [       OK ] ModuleListTest.NestingIsPossible (0 ms)
2022-11-23T01:57:59.2438791Z [ RUN      ] ModuleListTest.PrettyPrintModuleList
2022-11-23T01:57:59.2439219Z [       OK ] ModuleListTest.PrettyPrintModuleList (0 ms)
2022-11-23T01:57:59.2439568Z [ RUN      ] ModuleListTest.RangeBasedForLoop
2022-11-23T01:57:59.2439910Z [       OK ] ModuleListTest.RangeBasedForLoop (0 ms)
2022-11-23T01:57:59.2440258Z [----------] 15 tests from ModuleListTest (5 ms total)
2022-11-23T01:57:59.2440401Z 
2022-11-23T01:57:59.2440550Z [----------] 256 tests from ModulesTest
2022-11-23T01:57:59.2440816Z [ RUN      ] ModulesTest.Conv1d
2022-11-23T01:57:59.2461272Z [       OK ] ModulesTest.Conv1d (2 ms)
2022-11-23T01:57:59.2461816Z [ RUN      ] ModulesTest.Conv1dSameStrided
2022-11-23T01:57:59.2514106Z [       OK ] ModulesTest.Conv1dSameStrided (5 ms)
2022-11-23T01:57:59.2514732Z [ RUN      ] ModulesTest.Conv2dEven
2022-11-23T01:57:59.2518331Z [       OK ] ModulesTest.Conv2dEven (0 ms)
2022-11-23T01:57:59.2518849Z [ RUN      ] ModulesTest.Conv2dUneven
2022-11-23T01:57:59.2520939Z [       OK ] ModulesTest.Conv2dUneven (0 ms)
2022-11-23T01:57:59.2521518Z [ RUN      ] ModulesTest.Conv2dSameStrided
2022-11-23T01:57:59.2567881Z [       OK ] ModulesTest.Conv2dSameStrided (4 ms)
2022-11-23T01:57:59.2568410Z [ RUN      ] ModulesTest.Conv3d
2022-11-23T01:57:59.2573246Z [       OK ] ModulesTest.Conv3d (0 ms)
2022-11-23T01:57:59.2573790Z [ RUN      ] ModulesTest.Conv3dSameStrided
2022-11-23T01:57:59.2630616Z [       OK ] ModulesTest.Conv3dSameStrided (5 ms)
2022-11-23T01:57:59.2631180Z [ RUN      ] ModulesTest.ConvTranspose1d
2022-11-23T01:57:59.2633874Z [       OK ] ModulesTest.ConvTranspose1d (0 ms)
2022-11-23T01:57:59.2634488Z [ RUN      ] ModulesTest.ConvTranspose2dEven
2022-11-23T01:57:59.2639811Z [       OK ] ModulesTest.ConvTranspose2dEven (0 ms)
2022-11-23T01:57:59.2640196Z [ RUN      ] ModulesTest.ConvTranspose2dUneven
2022-11-23T01:57:59.2644438Z [       OK ] ModulesTest.ConvTranspose2dUneven (0 ms)
2022-11-23T01:57:59.2645001Z [ RUN      ] ModulesTest.ConvTranspose3d
2022-11-23T01:57:59.2648112Z [       OK ] ModulesTest.ConvTranspose3d (0 ms)
2022-11-23T01:57:59.2648657Z [ RUN      ] ModulesTest.MaxPool1d
2022-11-23T01:57:59.2657834Z [       OK ] ModulesTest.MaxPool1d (0 ms)
2022-11-23T01:57:59.2658436Z [ RUN      ] ModulesTest.MaxPool1dReturnIndices
2022-11-23T01:57:59.2659160Z [       OK ] ModulesTest.MaxPool1dReturnIndices (0 ms)
2022-11-23T01:57:59.2659766Z [ RUN      ] ModulesTest.MaxPool2dEven
2022-11-23T01:57:59.2660340Z [       OK ] ModulesTest.MaxPool2dEven (0 ms)
2022-11-23T01:57:59.2660771Z [ RUN      ] ModulesTest.MaxPool2dUneven
2022-11-23T01:57:59.2661398Z [       OK ] ModulesTest.MaxPool2dUneven (0 ms)
2022-11-23T01:57:59.2661930Z [ RUN      ] ModulesTest.MaxPool2dReturnIndices
2022-11-23T01:57:59.2662454Z [       OK ] ModulesTest.MaxPool2dReturnIndices (0 ms)
2022-11-23T01:57:59.2662851Z [ RUN      ] ModulesTest.MaxPool3d
2022-11-23T01:57:59.2663800Z [       OK ] ModulesTest.MaxPool3d (0 ms)
2022-11-23T01:57:59.2664384Z [ RUN      ] ModulesTest.MaxPool3dReturnIndices
2022-11-23T01:57:59.2665341Z [       OK ] ModulesTest.MaxPool3dReturnIndices (0 ms)
2022-11-23T01:57:59.2665654Z [ RUN      ] ModulesTest.AvgPool1d
2022-11-23T01:57:59.2666601Z [       OK ] ModulesTest.AvgPool1d (0 ms)
2022-11-23T01:57:59.2667342Z [ RUN      ] ModulesTest.AvgPool2dEven
2022-11-23T01:57:59.2667865Z [       OK ] ModulesTest.AvgPool2dEven (0 ms)
2022-11-23T01:57:59.2668176Z [ RUN      ] ModulesTest.AvgPool2dUneven
2022-11-23T01:57:59.2668807Z [       OK ] ModulesTest.AvgPool2dUneven (0 ms)
2022-11-23T01:57:59.2669176Z [ RUN      ] ModulesTest.AvgPool3d
2022-11-23T01:57:59.2669893Z [       OK ] ModulesTest.AvgPool3d (0 ms)
2022-11-23T01:57:59.2670197Z [ RUN      ] ModulesTest.FractionalMaxPool2d
2022-11-23T01:57:59.2697327Z [       OK ] ModulesTest.FractionalMaxPool2d (0 ms)
2022-11-23T01:57:59.2697982Z [ RUN      ] ModulesTest.FractionalMaxPool2dReturnIndices
2022-11-23T01:57:59.2698671Z [       OK ] ModulesTest.FractionalMaxPool2dReturnIndices (0 ms)
2022-11-23T01:57:59.2699255Z [ RUN      ] ModulesTest.FractionalMaxPool3d
2022-11-23T01:57:59.2699713Z [       OK ] ModulesTest.FractionalMaxPool3d (0 ms)
2022-11-23T01:57:59.2700224Z [ RUN      ] ModulesTest.FractionalMaxPool3dReturnIndices
2022-11-23T01:57:59.2700778Z [       OK ] ModulesTest.FractionalMaxPool3dReturnIndices (0 ms)
2022-11-23T01:57:59.2701213Z [ RUN      ] ModulesTest.LPPool1d
2022-11-23T01:57:59.2701587Z [       OK ] ModulesTest.LPPool1d (0 ms)
2022-11-23T01:57:59.2701953Z [ RUN      ] ModulesTest.LPPool2d
2022-11-23T01:57:59.2702323Z [       OK ] ModulesTest.LPPool2d (0 ms)
2022-11-23T01:57:59.2702693Z [ RUN      ] ModulesTest.Identity
2022-11-23T01:57:59.2703063Z [       OK ] ModulesTest.Identity (0 ms)
2022-11-23T01:57:59.2703427Z [ RUN      ] ModulesTest.Flatten
2022-11-23T01:57:59.2703788Z [       OK ] ModulesTest.Flatten (0 ms)
2022-11-23T01:57:59.2704147Z [ RUN      ] ModulesTest.Unflatten
2022-11-23T01:57:59.2704743Z [W TensorImpl.h:1787] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator())
2022-11-23T01:57:59.2705367Z [       OK ] ModulesTest.Unflatten (0 ms)
2022-11-23T01:57:59.2705764Z [ RUN      ] ModulesTest.AdaptiveMaxPool1d
2022-11-23T01:57:59.2706185Z [       OK ] ModulesTest.AdaptiveMaxPool1d (0 ms)
2022-11-23T01:57:59.2706682Z [ RUN      ] ModulesTest.AdaptiveMaxPool1dReturnIndices
2022-11-23T01:57:59.2707203Z [       OK ] ModulesTest.AdaptiveMaxPool1dReturnIndices (0 ms)
2022-11-23T01:57:59.2707687Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dEven
2022-11-23T01:57:59.2708149Z [       OK ] ModulesTest.AdaptiveMaxPool2dEven (0 ms)
2022-11-23T01:57:59.2708591Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dUneven
2022-11-23T01:57:59.2709055Z [       OK ] ModulesTest.AdaptiveMaxPool2dUneven (0 ms)
2022-11-23T01:57:59.2709568Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven
2022-11-23T01:57:59.2710139Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven (0 ms)
2022-11-23T01:57:59.2710695Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven
2022-11-23T01:57:59.2711282Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven (0 ms)
2022-11-23T01:57:59.2711952Z [ RUN      ] ModulesTest.AdaptiveMaxPool3d
2022-11-23T01:57:59.2712368Z [       OK ] ModulesTest.AdaptiveMaxPool3d (0 ms)
2022-11-23T01:57:59.2712853Z [ RUN      ] ModulesTest.AdaptiveMaxPool3dReturnIndices
2022-11-23T01:57:59.2713390Z [       OK ] ModulesTest.AdaptiveMaxPool3dReturnIndices (0 ms)
2022-11-23T01:57:59.2713840Z [ RUN      ] ModulesTest.AdaptiveAvgPool1d
2022-11-23T01:57:59.2714276Z [       OK ] ModulesTest.AdaptiveAvgPool1d (0 ms)
2022-11-23T01:57:59.2714797Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dEven
2022-11-23T01:57:59.2719023Z [       OK ] ModulesTest.AdaptiveAvgPool2dEven (1 ms)
2022-11-23T01:57:59.2719601Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dUneven
2022-11-23T01:57:59.2720376Z [       OK ] ModulesTest.AdaptiveAvgPool2dUneven (0 ms)
2022-11-23T01:57:59.2720720Z [ RUN      ] ModulesTest.AdaptiveAvgPool3d
2022-11-23T01:57:59.2722079Z [       OK ] ModulesTest.AdaptiveAvgPool3d (0 ms)
2022-11-23T01:57:59.2722401Z [ RUN      ] ModulesTest.MaxUnpool1d
2022-11-23T01:57:59.2724024Z [       OK ] ModulesTest.MaxUnpool1d (0 ms)
2022-11-23T01:57:59.2724344Z [ RUN      ] ModulesTest.MaxPool1d_MaxUnpool1d
2022-11-23T01:57:59.2726450Z [       OK ] ModulesTest.MaxPool1d_MaxUnpool1d (0 ms)
2022-11-23T01:57:59.2726760Z [ RUN      ] ModulesTest.MaxUnpool2d
2022-11-23T01:57:59.2728725Z [       OK ] ModulesTest.MaxUnpool2d (0 ms)
2022-11-23T01:57:59.2729029Z [ RUN      ] ModulesTest.MaxPool2d_MaxUnpool2d
2022-11-23T01:57:59.2730891Z [       OK ] ModulesTest.MaxPool2d_MaxUnpool2d (0 ms)
2022-11-23T01:57:59.2731302Z [ RUN      ] ModulesTest.MaxUnpool3d
2022-11-23T01:57:59.2732336Z [       OK ] ModulesTest.MaxUnpool3d (0 ms)
2022-11-23T01:57:59.2732644Z [ RUN      ] ModulesTest.MaxUnpool3dOutputSize
2022-11-23T01:57:59.2734557Z [       OK ] ModulesTest.MaxUnpool3dOutputSize (0 ms)
2022-11-23T01:57:59.2734985Z [ RUN      ] ModulesTest.MaxPool3d_MaxUnpool3d
2022-11-23T01:57:59.4515996Z [       OK ] ModulesTest.MaxPool3d_MaxUnpool3d (177 ms)
2022-11-23T01:57:59.4516334Z [ RUN      ] ModulesTest.Linear
2022-11-23T01:57:59.4520132Z [       OK ] ModulesTest.Linear (0 ms)
2022-11-23T01:57:59.4520709Z [ RUN      ] ModulesTest.LocalResponseNorm
2022-11-23T01:57:59.4525099Z [       OK ] ModulesTest.LocalResponseNorm (0 ms)
2022-11-23T01:57:59.4525652Z [ RUN      ] ModulesTest.LayerNorm
2022-11-23T01:57:59.4527468Z [       OK ] ModulesTest.LayerNorm (0 ms)
2022-11-23T01:57:59.4527999Z [ RUN      ] ModulesTest.GroupNorm
2022-11-23T01:57:59.4529605Z [       OK ] ModulesTest.GroupNorm (0 ms)
2022-11-23T01:57:59.4530120Z [ RUN      ] ModulesTest.Bilinear
2022-11-23T01:57:59.4532883Z [       OK ] ModulesTest.Bilinear (0 ms)
2022-11-23T01:57:59.4533371Z [ RUN      ] ModulesTest.Fold
2022-11-23T01:57:59.4558687Z [       OK ] ModulesTest.Fold (2 ms)
2022-11-23T01:57:59.4559185Z [ RUN      ] ModulesTest.Unfold
2022-11-23T01:57:59.4624979Z [       OK ] ModulesTest.Unfold (6 ms)
2022-11-23T01:57:59.4625536Z [ RUN      ] ModulesTest.SimpleContainer
2022-11-23T01:57:59.4646543Z [       OK ] ModulesTest.SimpleContainer (2 ms)
2022-11-23T01:57:59.4647113Z [ RUN      ] ModulesTest.EmbeddingBasic
2022-11-23T01:57:59.4648045Z [       OK ] ModulesTest.EmbeddingBasic (0 ms)
2022-11-23T01:57:59.4648614Z [ RUN      ] ModulesTest.EmbeddingList
2022-11-23T01:57:59.4649395Z [       OK ] ModulesTest.EmbeddingList (0 ms)
2022-11-23T01:57:59.4650965Z [ RUN      ] ModulesTest.EmbeddingFromPretrained
2022-11-23T01:57:59.4651611Z [       OK ] ModulesTest.EmbeddingFromPretrained (0 ms)
2022-11-23T01:57:59.4652015Z [ RUN      ] ModulesTest.EmbeddingBagFromPretrained
2022-11-23T01:57:59.4653309Z [       OK ] ModulesTest.EmbeddingBagFromPretrained (0 ms)
2022-11-23T01:57:59.4653647Z [ RUN      ] ModulesTest.AlphaDropout
2022-11-23T01:57:59.4654686Z [       OK ] ModulesTest.AlphaDropout (0 ms)
2022-11-23T01:57:59.4655065Z [ RUN      ] ModulesTest.FeatureAlphaDropout
2022-11-23T01:57:59.4656232Z [       OK ] ModulesTest.FeatureAlphaDropout (0 ms)
2022-11-23T01:57:59.4656806Z [ RUN      ] ModulesTest.Dropout
2022-11-23T01:57:59.4658896Z [       OK ] ModulesTest.Dropout (0 ms)
2022-11-23T01:57:59.4659184Z [ RUN      ] ModulesTest.Dropout2d
2022-11-23T01:57:59.4664911Z [       OK ] ModulesTest.Dropout2d (0 ms)
2022-11-23T01:57:59.4665202Z [ RUN      ] ModulesTest.Dropout3d
2022-11-23T01:57:59.4672906Z [       OK ] ModulesTest.Dropout3d (0 ms)
2022-11-23T01:57:59.4673370Z [ RUN      ] ModulesTest.Parameters
2022-11-23T01:57:59.4674003Z [       OK ] ModulesTest.Parameters (0 ms)
2022-11-23T01:57:59.4674635Z [ RUN      ] ModulesTest.FunctionalCallsSuppliedFunction
2022-11-23T01:57:59.4675236Z [       OK ] ModulesTest.FunctionalCallsSuppliedFunction (0 ms)
2022-11-23T01:57:59.4675687Z [ RUN      ] ModulesTest.FunctionalWithTorchFunction
2022-11-23T01:57:59.4676066Z [       OK ] ModulesTest.FunctionalWithTorchFunction (0 ms)
2022-11-23T01:57:59.4676436Z [ RUN      ] ModulesTest.FunctionalArgumentBinding
2022-11-23T01:57:59.4676788Z [       OK ] ModulesTest.FunctionalArgumentBinding (0 ms)
2022-11-23T01:57:59.4677136Z [ RUN      ] ModulesTest.BatchNorm1dStateful
2022-11-23T01:57:59.4677538Z [       OK ] ModulesTest.BatchNorm1dStateful (0 ms)
2022-11-23T01:57:59.4677972Z [ RUN      ] ModulesTest.BatchNorm1dStateless
2022-11-23T01:57:59.4678458Z [       OK ] ModulesTest.BatchNorm1dStateless (0 ms)
2022-11-23T01:57:59.4678886Z [ RUN      ] ModulesTest.BatchNorm1d
2022-11-23T01:57:59.4679256Z [       OK ] ModulesTest.BatchNorm1d (0 ms)
2022-11-23T01:57:59.4679635Z [ RUN      ] ModulesTest.BatchNorm2dStateful
2022-11-23T01:57:59.4679970Z [       OK ] ModulesTest.BatchNorm2dStateful (0 ms)
2022-11-23T01:57:59.4680297Z [ RUN      ] ModulesTest.BatchNorm2dStateless
2022-11-23T01:57:59.4680631Z [       OK ] ModulesTest.BatchNorm2dStateless (0 ms)
2022-11-23T01:57:59.4680925Z [ RUN      ] ModulesTest.BatchNorm2d
2022-11-23T01:57:59.4683084Z [       OK ] ModulesTest.BatchNorm2d (0 ms)
2022-11-23T01:57:59.4683440Z [ RUN      ] ModulesTest.BatchNorm3dStateful
2022-11-23T01:57:59.4683785Z [       OK ] ModulesTest.BatchNorm3dStateful (0 ms)
2022-11-23T01:57:59.4684121Z [ RUN      ] ModulesTest.BatchNorm3dStateless
2022-11-23T01:57:59.4684461Z [       OK ] ModulesTest.BatchNorm3dStateless (0 ms)
2022-11-23T01:57:59.4684757Z [ RUN      ] ModulesTest.BatchNorm3d
2022-11-23T01:57:59.4687819Z [       OK ] ModulesTest.BatchNorm3d (0 ms)
2022-11-23T01:57:59.4688279Z [ RUN      ] ModulesTest.InstanceNorm1dStateful
2022-11-23T01:57:59.4688643Z [       OK ] ModulesTest.InstanceNorm1dStateful (0 ms)
2022-11-23T01:57:59.4688980Z [ RUN      ] ModulesTest.InstanceNorm1dStateless
2022-11-23T01:57:59.4689335Z [       OK ] ModulesTest.InstanceNorm1dStateless (0 ms)
2022-11-23T01:57:59.4689657Z [ RUN      ] ModulesTest.InstanceNorm1d
2022-11-23T01:57:59.4691137Z [       OK ] ModulesTest.InstanceNorm1d (0 ms)
2022-11-23T01:57:59.4691515Z [ RUN      ] ModulesTest.InstanceNorm2dStateful
2022-11-23T01:57:59.4691876Z [       OK ] ModulesTest.InstanceNorm2dStateful (0 ms)
2022-11-23T01:57:59.4692226Z [ RUN      ] ModulesTest.InstanceNorm2dStateless
2022-11-23T01:57:59.4692569Z [       OK ] ModulesTest.InstanceNorm2dStateless (0 ms)
2022-11-23T01:57:59.4692896Z [ RUN      ] ModulesTest.InstanceNorm2d
2022-11-23T01:57:59.4694759Z [       OK ] ModulesTest.InstanceNorm2d (0 ms)
2022-11-23T01:57:59.4695157Z [ RUN      ] ModulesTest.InstanceNorm3dStateful
2022-11-23T01:57:59.4695511Z [       OK ] ModulesTest.InstanceNorm3dStateful (0 ms)
2022-11-23T01:57:59.4695863Z [ RUN      ] ModulesTest.InstanceNorm3dStateless
2022-11-23T01:57:59.4696219Z [       OK ] ModulesTest.InstanceNorm3dStateless (0 ms)
2022-11-23T01:57:59.4696665Z [ RUN      ] ModulesTest.InstanceNorm3d
2022-11-23T01:57:59.4699607Z [       OK ] ModulesTest.InstanceNorm3d (0 ms)
2022-11-23T01:57:59.4700118Z [ RUN      ] ModulesTest.L1Loss
2022-11-23T01:57:59.4700963Z [       OK ] ModulesTest.L1Loss (0 ms)
2022-11-23T01:57:59.4701276Z [ RUN      ] ModulesTest.MSELoss
2022-11-23T01:57:59.4702246Z [       OK ] ModulesTest.MSELoss (0 ms)
2022-11-23T01:57:59.4702590Z [ RUN      ] ModulesTest.BCELoss
2022-11-23T01:57:59.4704302Z [       OK ] ModulesTest.BCELoss (0 ms)
2022-11-23T01:57:59.4704704Z [ RUN      ] ModulesTest.KLDivLoss
2022-11-23T01:57:59.4705643Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2022-11-23T01:57:59.4706198Z [       OK ] ModulesTest.KLDivLoss (0 ms)
2022-11-23T01:57:59.4706490Z [ RUN      ] ModulesTest.HingeEmbeddingLoss
2022-11-23T01:57:59.4708248Z [       OK ] ModulesTest.HingeEmbeddingLoss (0 ms)
2022-11-23T01:57:59.4708760Z [ RUN      ] ModulesTest.MultiMarginLoss
2022-11-23T01:57:59.4709531Z [       OK ] ModulesTest.MultiMarginLoss (0 ms)
2022-11-23T01:57:59.4709919Z [ RUN      ] ModulesTest.CosineEmbeddingLoss
2022-11-23T01:57:59.4714642Z [       OK ] ModulesTest.CosineEmbeddingLoss (0 ms)
2022-11-23T01:57:59.4715035Z [ RUN      ] ModulesTest.SmoothL1LossDefaultOptions
2022-11-23T01:57:59.4716350Z [       OK ] ModulesTest.SmoothL1LossDefaultOptions (0 ms)
2022-11-23T01:57:59.4718018Z [ RUN      ] ModulesTest.HuberLossDefaultOptions
2022-11-23T01:57:59.4718408Z [       OK ] ModulesTest.HuberLossDefaultOptions (0 ms)
2022-11-23T01:57:59.4718888Z [ RUN      ] ModulesTest.MultiLabelMarginLossDefaultOptions
2022-11-23T01:57:59.4719812Z [       OK ] ModulesTest.MultiLabelMarginLossDefaultOptions (0 ms)
2022-11-23T01:57:59.4720361Z [ RUN      ] ModulesTest.SmoothL1LossNoReduction
2022-11-23T01:57:59.4720995Z [       OK ] ModulesTest.SmoothL1LossNoReduction (0 ms)
2022-11-23T01:57:59.4721393Z [ RUN      ] ModulesTest.HuberLossNoReduction
2022-11-23T01:57:59.4722382Z [       OK ] ModulesTest.HuberLossNoReduction (0 ms)
2022-11-23T01:57:59.4722835Z [ RUN      ] ModulesTest.MultiLabelMarginLossNoReduction
2022-11-23T01:57:59.4723863Z [       OK ] ModulesTest.MultiLabelMarginLossNoReduction (0 ms)
2022-11-23T01:57:59.4724333Z [ RUN      ] ModulesTest.SmoothL1LossBeta
2022-11-23T01:57:59.4725358Z [       OK ] ModulesTest.SmoothL1LossBeta (0 ms)
2022-11-23T01:57:59.4725776Z [ RUN      ] ModulesTest.HuberLossDelta
2022-11-23T01:57:59.4726826Z [       OK ] ModulesTest.HuberLossDelta (0 ms)
2022-11-23T01:57:59.4727218Z [ RUN      ] ModulesTest.TripletMarginLoss
2022-11-23T01:57:59.4730212Z [       OK ] ModulesTest.TripletMarginLoss (0 ms)
2022-11-23T01:57:59.4730659Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossDefaultParity
2022-11-23T01:57:59.4974204Z [       OK ] ModulesTest.TripletMarginWithDistanceLossDefaultParity (24 ms)
2022-11-23T01:57:59.4974728Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity
2022-11-23T01:57:59.5440750Z [       OK ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity (46 ms)
2022-11-23T01:57:59.5441143Z [ RUN      ] ModulesTest.NLLLoss
2022-11-23T01:57:59.5443031Z [       OK ] ModulesTest.NLLLoss (0 ms)
2022-11-23T01:57:59.5443344Z [ RUN      ] ModulesTest.CrossEntropyLoss
2022-11-23T01:57:59.5450500Z [       OK ] ModulesTest.CrossEntropyLoss (0 ms)
2022-11-23T01:57:59.5450873Z [ RUN      ] ModulesTest.CosineSimilarity
2022-11-23T01:57:59.5454509Z [       OK ] ModulesTest.CosineSimilarity (0 ms)
2022-11-23T01:57:59.5454870Z [ RUN      ] ModulesTest.SoftMarginLossDefaultOptions
2022-11-23T01:57:59.5456854Z [       OK ] ModulesTest.SoftMarginLossDefaultOptions (0 ms)
2022-11-23T01:57:59.5457283Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions
2022-11-23T01:57:59.5460317Z [       OK ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions (0 ms)
2022-11-23T01:57:59.5460900Z [ RUN      ] ModulesTest.SoftMarginLossNoReduction
2022-11-23T01:57:59.5461751Z [       OK ] ModulesTest.SoftMarginLossNoReduction (0 ms)
2022-11-23T01:57:59.5462245Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction
2022-11-23T01:57:59.5464582Z [       OK ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms)
2022-11-23T01:57:59.5464992Z [ RUN      ] ModulesTest.PairwiseDistance
2022-11-23T01:57:59.5466322Z [       OK ] ModulesTest.PairwiseDistance (0 ms)
2022-11-23T01:57:59.5466657Z [ RUN      ] ModulesTest.ELU
2022-11-23T01:57:59.5479443Z [       OK ] ModulesTest.ELU (1 ms)
2022-11-23T01:57:59.5479729Z [ RUN      ] ModulesTest.SELU
2022-11-23T01:57:59.5482213Z [       OK ] ModulesTest.SELU (0 ms)
2022-11-23T01:57:59.5482555Z [ RUN      ] ModulesTest.Hardshrink
2022-11-23T01:57:59.5489561Z [       OK ] ModulesTest.Hardshrink (0 ms)
2022-11-23T01:57:59.5489889Z [ RUN      ] ModulesTest.Hardtanh
2022-11-23T01:57:59.5514660Z [       OK ] ModulesTest.Hardtanh (2 ms)
2022-11-23T01:57:59.5515002Z [ RUN      ] ModulesTest.HardtanhMinValGEMaxVal
2022-11-23T01:57:59.5591820Z [       OK ] ModulesTest.HardtanhMinValGEMaxVal (7 ms)
2022-11-23T01:57:59.5592157Z [ RUN      ] ModulesTest.LeakyReLU
2022-11-23T01:57:59.5603432Z [       OK ] ModulesTest.LeakyReLU (1 ms)
2022-11-23T01:57:59.5603725Z [ RUN      ] ModulesTest.LogSigmoid
2022-11-23T01:57:59.5605211Z [       OK ] ModulesTest.LogSigmoid (0 ms)
2022-11-23T01:57:59.5605542Z [ RUN      ] ModulesTest.Softmax
2022-11-23T01:57:59.5606806Z [       OK ] ModulesTest.Softmax (0 ms)
2022-11-23T01:57:59.5607184Z [ RUN      ] ModulesTest.Softmin
2022-11-23T01:57:59.5608572Z [       OK ] ModulesTest.Softmin (0 ms)
2022-11-23T01:57:59.5608945Z [ RUN      ] ModulesTest.LogSoftmax
2022-11-23T01:57:59.5609837Z [       OK ] ModulesTest.LogSoftmax (0 ms)
2022-11-23T01:57:59.5610217Z [ RUN      ] ModulesTest.AdaptiveLogSoftmaxWithLoss
2022-11-23T01:57:59.5635866Z [       OK ] ModulesTest.AdaptiveLogSoftmaxWithLoss (2 ms)
2022-11-23T01:57:59.5636232Z [ RUN      ] ModulesTest.Softmax2d
2022-11-23T01:57:59.5646213Z [       OK ] ModulesTest.Softmax2d (1 ms)
2022-11-23T01:57:59.5646574Z [ RUN      ] ModulesTest.PReLU
2022-11-23T01:57:59.5651310Z [       OK ] ModulesTest.PReLU (0 ms)
2022-11-23T01:57:59.5651632Z [ RUN      ] ModulesTest.ReLU
2022-11-23T01:57:59.5654095Z [       OK ] ModulesTest.ReLU (0 ms)
2022-11-23T01:57:59.5654441Z [ RUN      ] ModulesTest.ReLU6
2022-11-23T01:57:59.5656946Z [       OK ] ModulesTest.ReLU6 (0 ms)
2022-11-23T01:57:59.5657228Z [ RUN      ] ModulesTest.RReLU
2022-11-23T01:57:59.5692997Z [       OK ] ModulesTest.RReLU (3 ms)
2022-11-23T01:57:59.5693334Z [ RUN      ] ModulesTest.CELU
2022-11-23T01:57:59.5702193Z [       OK ] ModulesTest.CELU (0 ms)
2022-11-23T01:57:59.5702480Z [ RUN      ] ModulesTest.GLU
2022-11-23T01:57:59.5704340Z [       OK ] ModulesTest.GLU (0 ms)
2022-11-23T01:57:59.5704591Z [ RUN      ] ModulesTest.GELU
2022-11-23T01:57:59.5707850Z [       OK ] ModulesTest.GELU (0 ms)
2022-11-23T01:57:59.5708259Z [ RUN      ] ModulesTest.TanhGELU
2022-11-23T01:57:59.5709283Z [       OK ] ModulesTest.TanhGELU (0 ms)
2022-11-23T01:57:59.5709672Z [ RUN      ] ModulesTest.Mish
2022-11-23T01:57:59.5710183Z [       OK ] ModulesTest.Mish (0 ms)
2022-11-23T01:57:59.5710689Z [ RUN      ] ModulesTest.Sigmoid
2022-11-23T01:57:59.5711745Z [       OK ] ModulesTest.Sigmoid (0 ms)
2022-11-23T01:57:59.5712165Z [ RUN      ] ModulesTest.PixelShuffle
2022-11-23T01:57:59.5713823Z [       OK ] ModulesTest.PixelShuffle (0 ms)
2022-11-23T01:57:59.5714285Z [ RUN      ] ModulesTest.PixelUnshuffle
2022-11-23T01:57:59.5715241Z [       OK ] ModulesTest.PixelUnshuffle (0 ms)
2022-11-23T01:57:59.5715681Z [ RUN      ] ModulesTest.Softplus
2022-11-23T01:57:59.5722690Z [       OK ] ModulesTest.Softplus (0 ms)
2022-11-23T01:57:59.5723119Z [ RUN      ] ModulesTest.Softshrink
2022-11-23T01:57:59.5729106Z [       OK ] ModulesTest.Softshrink (0 ms)
2022-11-23T01:57:59.5729481Z [ RUN      ] ModulesTest.Softsign
2022-11-23T01:57:59.5729922Z [       OK ] ModulesTest.Softsign (0 ms)
2022-11-23T01:57:59.5730248Z [ RUN      ] ModulesTest.Tanh
2022-11-23T01:57:59.5731111Z [       OK ] ModulesTest.Tanh (0 ms)
2022-11-23T01:57:59.5731468Z [ RUN      ] ModulesTest.Tanhshrink
2022-11-23T01:57:59.5731845Z [       OK ] ModulesTest.Tanhshrink (0 ms)
2022-11-23T01:57:59.5732195Z [ RUN      ] ModulesTest.Threshold
2022-11-23T01:57:59.5744820Z [       OK ] ModulesTest.Threshold (1 ms)
2022-11-23T01:57:59.5745292Z [ RUN      ] ModulesTest.Upsampling1D
2022-11-23T01:57:59.5746469Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5748931Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5751003Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5752534Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5755336Z [       OK ] ModulesTest.Upsampling1D (1 ms)
2022-11-23T01:57:59.5755825Z [ RUN      ] ModulesTest.Upsampling2D
2022-11-23T01:57:59.5757531Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5759119Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5761258Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5762817Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5764558Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5766019Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5768465Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5769988Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5772267Z [       OK ] ModulesTest.Upsampling2D (1 ms)
2022-11-23T01:57:59.5772738Z [ RUN      ] ModulesTest.Upsampling3D
2022-11-23T01:57:59.5774380Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5776067Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5778188Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5779902Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T01:57:59.5781329Z [       OK ] ModulesTest.Upsampling3D (0 ms)
2022-11-23T01:57:59.5781852Z [ RUN      ] ModulesTest.CTCLoss
2022-11-23T01:57:59.5785655Z [       OK ] ModulesTest.CTCLoss (0 ms)
2022-11-23T01:57:59.5786245Z [ RUN      ] ModulesTest.PoissonNLLLoss
2022-11-23T01:57:59.5787515Z [       OK ] ModulesTest.PoissonNLLLoss (0 ms)
2022-11-23T01:57:59.5788113Z [ RUN      ] ModulesTest.MarginRankingLoss
2022-11-23T01:57:59.5792050Z [       OK ] ModulesTest.MarginRankingLoss (0 ms)
2022-11-23T01:57:59.5792767Z [ RUN      ] ModulesTest.BCEWithLogitsLoss
2022-11-23T01:57:59.5851719Z [       OK ] ModulesTest.BCEWithLogitsLoss (5 ms)
2022-11-23T01:57:59.5852437Z [ RUN      ] ModulesTest.MultiheadAttention
2022-11-23T01:58:08.3306491Z [       OK ] ModulesTest.MultiheadAttention (8745 ms)
2022-11-23T01:58:08.3307110Z [ RUN      ] ModulesTest.PrettyPrintIdentity
2022-11-23T01:58:08.3307725Z [       OK ] ModulesTest.PrettyPrintIdentity (0 ms)
2022-11-23T01:58:08.3308310Z [ RUN      ] ModulesTest.PrettyPrintFlatten
2022-11-23T01:58:08.3308885Z [       OK ] ModulesTest.PrettyPrintFlatten (0 ms)
2022-11-23T01:58:08.3309447Z [ RUN      ] ModulesTest.PrettyPrintUnflatten
2022-11-23T01:58:08.3310010Z [       OK ] ModulesTest.PrettyPrintUnflatten (0 ms)
2022-11-23T01:58:08.3310563Z [ RUN      ] ModulesTest.ReflectionPad1d
2022-11-23T01:58:08.3311099Z [       OK ] ModulesTest.ReflectionPad1d (0 ms)
2022-11-23T01:58:08.3311626Z [ RUN      ] ModulesTest.ReflectionPad2d
2022-11-23T01:58:08.3312156Z [       OK ] ModulesTest.ReflectionPad2d (0 ms)
2022-11-23T01:58:08.3312678Z [ RUN      ] ModulesTest.ReflectionPad3d
2022-11-23T01:58:08.3316154Z [       OK ] ModulesTest.ReflectionPad3d (0 ms)
2022-11-23T01:58:08.3316724Z [ RUN      ] ModulesTest.ReplicationPad1d
2022-11-23T01:58:08.3317494Z [       OK ] ModulesTest.ReplicationPad1d (0 ms)
2022-11-23T01:58:08.3317997Z [ RUN      ] ModulesTest.ReplicationPad2d
2022-11-23T01:58:08.3320839Z [       OK ] ModulesTest.ReplicationPad2d (0 ms)
2022-11-23T01:58:08.3321389Z [ RUN      ] ModulesTest.ReplicationPad3d
2022-11-23T01:58:08.3325540Z [       OK ] ModulesTest.ReplicationPad3d (0 ms)
2022-11-23T01:58:08.3326055Z [ RUN      ] ModulesTest.ZeroPad2d
2022-11-23T01:58:08.3328305Z [       OK ] ModulesTest.ZeroPad2d (0 ms)
2022-11-23T01:58:08.3328828Z [ RUN      ] ModulesTest.ConstantPad1d
2022-11-23T01:58:08.3330445Z [       OK ] ModulesTest.ConstantPad1d (0 ms)
2022-11-23T01:58:08.3330958Z [ RUN      ] ModulesTest.ConstantPad2d
2022-11-23T01:58:08.3333862Z [       OK ] ModulesTest.ConstantPad2d (0 ms)
2022-11-23T01:58:08.3334334Z [ RUN      ] ModulesTest.ConstantPad3d
2022-11-23T01:58:08.3337938Z [       OK ] ModulesTest.ConstantPad3d (0 ms)
2022-11-23T01:58:08.3338299Z [ RUN      ] ModulesTest.CrossMapLRN2d
2022-11-23T01:58:08.3344346Z [       OK ] ModulesTest.CrossMapLRN2d (0 ms)
2022-11-23T01:58:08.3344624Z [ RUN      ] ModulesTest.RNNCell
2022-11-23T01:58:08.3347215Z [       OK ] ModulesTest.RNNCell (0 ms)
2022-11-23T01:58:08.3347536Z [ RUN      ] ModulesTest.LSTMCell
2022-11-23T01:58:08.3352072Z [       OK ] ModulesTest.LSTMCell (0 ms)
2022-11-23T01:58:08.3352563Z [ RUN      ] ModulesTest.GRUCell
2022-11-23T01:58:08.3355806Z [       OK ] ModulesTest.GRUCell (0 ms)
2022-11-23T01:58:08.3356236Z [ RUN      ] ModulesTest.PrettyPrintLinear
2022-11-23T01:58:08.3356611Z [       OK ] ModulesTest.PrettyPrintLinear (0 ms)
2022-11-23T01:58:08.3356993Z [ RUN      ] ModulesTest.PrettyPrintBilinear
2022-11-23T01:58:08.3357341Z [       OK ] ModulesTest.PrettyPrintBilinear (0 ms)
2022-11-23T01:58:08.3357666Z [ RUN      ] ModulesTest.PrettyPrintConv
2022-11-23T01:58:08.3358757Z [       OK ] ModulesTest.PrettyPrintConv (0 ms)
2022-11-23T01:58:08.3359106Z [ RUN      ] ModulesTest.PrettyPrintConvTranspose
2022-11-23T01:58:08.3360897Z [       OK ] ModulesTest.PrettyPrintConvTranspose (0 ms)
2022-11-23T01:58:08.3361633Z [ RUN      ] ModulesTest.PrettyPrintUpsample
2022-11-23T01:58:08.3362214Z [       OK ] ModulesTest.PrettyPrintUpsample (0 ms)
2022-11-23T01:58:08.3362844Z [ RUN      ] ModulesTest.PrettyPrintFold
2022-11-23T01:58:08.3363353Z [       OK ] ModulesTest.PrettyPrintFold (0 ms)
2022-11-23T01:58:08.3363792Z [ RUN      ] ModulesTest.PrettyPrintUnfold
2022-11-23T01:58:08.3364313Z [       OK ] ModulesTest.PrettyPrintUnfold (0 ms)
2022-11-23T01:58:08.3364921Z [ RUN      ] ModulesTest.PrettyPrintMaxPool
2022-11-23T01:58:08.3365492Z [       OK ] ModulesTest.PrettyPrintMaxPool (0 ms)
2022-11-23T01:58:08.3366057Z [ RUN      ] ModulesTest.PrettyPrintAvgPool
2022-11-23T01:58:08.3366390Z [       OK ] ModulesTest.PrettyPrintAvgPool (0 ms)
2022-11-23T01:58:08.3366812Z [ RUN      ] ModulesTest.PrettyPrinFractionalMaxPool
2022-11-23T01:58:08.3367274Z [       OK ] ModulesTest.PrettyPrinFractionalMaxPool (0 ms)
2022-11-23T01:58:08.3367792Z [ RUN      ] ModulesTest.PrettyPrintLPPool
2022-11-23T01:58:08.3368321Z [       OK ] ModulesTest.PrettyPrintLPPool (0 ms)
2022-11-23T01:58:08.3368913Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveMaxPool
2022-11-23T01:58:08.3369493Z [       OK ] ModulesTest.PrettyPrintAdaptiveMaxPool (0 ms)
2022-11-23T01:58:08.3370102Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveAvgPool
2022-11-23T01:58:08.3370672Z [       OK ] ModulesTest.PrettyPrintAdaptiveAvgPool (0 ms)
2022-11-23T01:58:08.3371187Z [ RUN      ] ModulesTest.PrettyPrintMaxUnpool
2022-11-23T01:58:08.3371685Z [       OK ] ModulesTest.PrettyPrintMaxUnpool (0 ms)
2022-11-23T01:58:08.3372194Z [ RUN      ] ModulesTest.PrettyPrintDropout
2022-11-23T01:58:08.3372700Z [       OK ] ModulesTest.PrettyPrintDropout (0 ms)
2022-11-23T01:58:08.3373205Z [ RUN      ] ModulesTest.PrettyPrintDropout2d
2022-11-23T01:58:08.3373750Z [       OK ] ModulesTest.PrettyPrintDropout2d (0 ms)
2022-11-23T01:58:08.3374248Z [ RUN      ] ModulesTest.PrettyPrintDropout3d
2022-11-23T01:58:08.3374727Z [       OK ] ModulesTest.PrettyPrintDropout3d (0 ms)
2022-11-23T01:58:08.3375247Z [ RUN      ] ModulesTest.PrettyPrintFunctional
2022-11-23T01:58:08.3375748Z [       OK ] ModulesTest.PrettyPrintFunctional (0 ms)
2022-11-23T01:58:08.3376273Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm1d
2022-11-23T01:58:08.3376977Z [       OK ] ModulesTest.PrettyPrintBatchNorm1d (0 ms)
2022-11-23T01:58:08.3377710Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm2d
2022-11-23T01:58:08.3378331Z [       OK ] ModulesTest.PrettyPrintBatchNorm2d (0 ms)
2022-11-23T01:58:08.3378882Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm3d
2022-11-23T01:58:08.3379347Z [       OK ] ModulesTest.PrettyPrintBatchNorm3d (0 ms)
2022-11-23T01:58:08.3379744Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm1d
2022-11-23T01:58:08.3380271Z [       OK ] ModulesTest.PrettyPrintInstanceNorm1d (0 ms)
2022-11-23T01:58:08.3380714Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm2d
2022-11-23T01:58:08.3381310Z [       OK ] ModulesTest.PrettyPrintInstanceNorm2d (0 ms)
2022-11-23T01:58:08.3382001Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm3d
2022-11-23T01:58:08.3382594Z [       OK ] ModulesTest.PrettyPrintInstanceNorm3d (0 ms)
2022-11-23T01:58:08.3382985Z [ RUN      ] ModulesTest.PrettyPrintLayerNorm
2022-11-23T01:58:08.3383522Z [       OK ] ModulesTest.PrettyPrintLayerNorm (0 ms)
2022-11-23T01:58:08.3384040Z [ RUN      ] ModulesTest.PrettyPrintGroupNorm
2022-11-23T01:58:08.3384488Z [       OK ] ModulesTest.PrettyPrintGroupNorm (0 ms)
2022-11-23T01:58:08.3384956Z [ RUN      ] ModulesTest.PrettyPrintLocalResponseNorm
2022-11-23T01:58:08.3385442Z [       OK ] ModulesTest.PrettyPrintLocalResponseNorm (0 ms)
2022-11-23T01:58:08.3385902Z [ RUN      ] ModulesTest.PrettyPrintEmbedding
2022-11-23T01:58:08.3386345Z [       OK ] ModulesTest.PrettyPrintEmbedding (0 ms)
2022-11-23T01:58:08.3386777Z [ RUN      ] ModulesTest.PrettyPrintEmbeddingBag
2022-11-23T01:58:08.3387240Z [       OK ] ModulesTest.PrettyPrintEmbeddingBag (0 ms)
2022-11-23T01:58:08.3387672Z [ RUN      ] ModulesTest.PrettyPrintL1Loss
2022-11-23T01:58:08.3388094Z [       OK ] ModulesTest.PrettyPrintL1Loss (0 ms)
2022-11-23T01:58:08.3388503Z [ RUN      ] ModulesTest.PrettyPrintKLDivLoss
2022-11-23T01:58:08.3388947Z [       OK ] ModulesTest.PrettyPrintKLDivLoss (0 ms)
2022-11-23T01:58:08.3389378Z [ RUN      ] ModulesTest.PrettyPrintMSELoss
2022-11-23T01:58:08.3389790Z [       OK ] ModulesTest.PrettyPrintMSELoss (0 ms)
2022-11-23T01:58:08.3390209Z [ RUN      ] ModulesTest.PrettyPrintBCELoss
2022-11-23T01:58:08.3390636Z [       OK ] ModulesTest.PrettyPrintBCELoss (0 ms)
2022-11-23T01:58:08.3391083Z [ RUN      ] ModulesTest.PrettyPrintHingeEmbeddingLoss
2022-11-23T01:58:08.3391594Z [       OK ] ModulesTest.PrettyPrintHingeEmbeddingLoss (0 ms)
2022-11-23T01:58:08.3392100Z [ RUN      ] ModulesTest.PrettyPrintCosineEmbeddingLoss
2022-11-23T01:58:08.3392610Z [       OK ] ModulesTest.PrettyPrintCosineEmbeddingLoss (0 ms)
2022-11-23T01:58:08.3393093Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginLoss
2022-11-23T01:58:08.3393597Z [       OK ] ModulesTest.PrettyPrintTripletMarginLoss (0 ms)
2022-11-23T01:58:08.3394145Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss
2022-11-23T01:58:08.3394791Z [       OK ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss (0 ms)
2022-11-23T01:58:08.3395287Z [ RUN      ] ModulesTest.PrettyPrintNLLLoss
2022-11-23T01:58:08.3395738Z [       OK ] ModulesTest.PrettyPrintNLLLoss (0 ms)
2022-11-23T01:58:08.3396187Z [ RUN      ] ModulesTest.PrettyPrinCrossEntropyLoss
2022-11-23T01:58:08.3396660Z [       OK ] ModulesTest.PrettyPrinCrossEntropyLoss (0 ms)
2022-11-23T01:58:08.3397157Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelMarginLoss
2022-11-23T01:58:08.3397681Z [       OK ] ModulesTest.PrettyPrintMultiLabelMarginLoss (0 ms)
2022-11-23T01:58:08.3398199Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss
2022-11-23T01:58:08.3398748Z [       OK ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss (0 ms)
2022-11-23T01:58:08.3399310Z [ RUN      ] ModulesTest.PrettyPrintSoftMarginLoss
2022-11-23T01:58:08.3399788Z [       OK ] ModulesTest.PrettyPrintSoftMarginLoss (0 ms)
2022-11-23T01:58:08.3400253Z [ RUN      ] ModulesTest.PrettyPrintCosineSimilarity
2022-11-23T01:58:08.3400749Z [       OK ] ModulesTest.PrettyPrintCosineSimilarity (0 ms)
2022-11-23T01:58:08.3401233Z [ RUN      ] ModulesTest.PrettyPrintPairwiseDistance
2022-11-23T01:58:08.3401712Z [       OK ] ModulesTest.PrettyPrintPairwiseDistance (0 ms)
2022-11-23T01:58:08.3402191Z [ RUN      ] ModulesTest.PrettyPrintReflectionPad
2022-11-23T01:58:08.3402722Z [       OK ] ModulesTest.PrettyPrintReflectionPad (0 ms)
2022-11-23T01:58:08.3403178Z [ RUN      ] ModulesTest.PrettyPrintReplicationPad
2022-11-23T01:58:08.3403654Z [       OK ] ModulesTest.PrettyPrintReplicationPad (0 ms)
2022-11-23T01:58:08.3404109Z [ RUN      ] ModulesTest.PrettyPrintZeroPad2d
2022-11-23T01:58:08.3404556Z [       OK ] ModulesTest.PrettyPrintZeroPad2d (0 ms)
2022-11-23T01:58:08.3404984Z [ RUN      ] ModulesTest.PrettyPrintConstantPad
2022-11-23T01:58:08.3501472Z [       OK ] ModulesTest.PrettyPrintConstantPad (0 ms)
2022-11-23T01:58:08.3502126Z [ RUN      ] ModulesTest.PrettyPrintNestedModel
2022-11-23T01:58:08.3502730Z [       OK ] ModulesTest.PrettyPrintNestedModel (0 ms)
2022-11-23T01:58:08.3503271Z [ RUN      ] ModulesTest.PrettyPrintELU
2022-11-23T01:58:08.3515223Z [       OK ] ModulesTest.PrettyPrintELU (0 ms)
2022-11-23T01:58:08.3515610Z [ RUN      ] ModulesTest.PrettyPrintSELU
2022-11-23T01:58:08.3515947Z [       OK ] ModulesTest.PrettyPrintSELU (0 ms)
2022-11-23T01:58:08.3516244Z [ RUN      ] ModulesTest.PrettyPrintGLU
2022-11-23T01:58:08.3516556Z [       OK ] ModulesTest.PrettyPrintGLU (0 ms)
2022-11-23T01:58:08.3516881Z [ RUN      ] ModulesTest.PrettyPrintHardshrink
2022-11-23T01:58:08.3517227Z [       OK ] ModulesTest.PrettyPrintHardshrink (0 ms)
2022-11-23T01:58:08.3517549Z [ RUN      ] ModulesTest.PrettyPrintHardtanh
2022-11-23T01:58:08.3517886Z [       OK ] ModulesTest.PrettyPrintHardtanh (0 ms)
2022-11-23T01:58:08.3518218Z [ RUN      ] ModulesTest.PrettyPrintLeakyReLU
2022-11-23T01:58:08.3518543Z [       OK ] ModulesTest.PrettyPrintLeakyReLU (0 ms)
2022-11-23T01:58:08.3518879Z [ RUN      ] ModulesTest.PrettyPrintLogSigmoid
2022-11-23T01:58:08.3519222Z [       OK ] ModulesTest.PrettyPrintLogSigmoid (0 ms)
2022-11-23T01:58:08.3519539Z [ RUN      ] ModulesTest.PrettyPrintSoftmax
2022-11-23T01:58:08.3519869Z [       OK ] ModulesTest.PrettyPrintSoftmax (0 ms)
2022-11-23T01:58:08.3520192Z [ RUN      ] ModulesTest.PrettyPrintSoftmin
2022-11-23T01:58:08.3520503Z [       OK ] ModulesTest.PrettyPrintSoftmin (0 ms)
2022-11-23T01:58:08.3520835Z [ RUN      ] ModulesTest.PrettyPrintLogSoftmax
2022-11-23T01:58:08.3521179Z [       OK ] ModulesTest.PrettyPrintLogSoftmax (0 ms)
2022-11-23T01:58:08.3521516Z [ RUN      ] ModulesTest.PrettyPrintSoftmax2d
2022-11-23T01:58:08.3521843Z [       OK ] ModulesTest.PrettyPrintSoftmax2d (0 ms)
2022-11-23T01:58:08.3522164Z [ RUN      ] ModulesTest.PrettyPrintPReLU
2022-11-23T01:58:08.3522484Z [       OK ] ModulesTest.PrettyPrintPReLU (0 ms)
2022-11-23T01:58:08.3522781Z [ RUN      ] ModulesTest.PrettyPrintReLU
2022-11-23T01:58:08.3523094Z [       OK ] ModulesTest.PrettyPrintReLU (0 ms)
2022-11-23T01:58:08.3523412Z [ RUN      ] ModulesTest.PrettyPrintReLU6
2022-11-23T01:58:08.3523717Z [       OK ] ModulesTest.PrettyPrintReLU6 (0 ms)
2022-11-23T01:58:08.3524025Z [ RUN      ] ModulesTest.PrettyPrintRReLU
2022-11-23T01:58:08.3524343Z [       OK ] ModulesTest.PrettyPrintRReLU (0 ms)
2022-11-23T01:58:08.3524769Z [ RUN      ] ModulesTest.PrettyPrintCELU
2022-11-23T01:58:08.3525075Z [       OK ] ModulesTest.PrettyPrintCELU (0 ms)
2022-11-23T01:58:08.3525391Z [ RUN      ] ModulesTest.PrettyPrintSigmoid
2022-11-23T01:58:08.3525760Z [       OK ] ModulesTest.PrettyPrintSigmoid (0 ms)
2022-11-23T01:58:08.3526097Z [ RUN      ] ModulesTest.PrettyPrintPixelShuffle
2022-11-23T01:58:08.3526439Z [       OK ] ModulesTest.PrettyPrintPixelShuffle (0 ms)
2022-11-23T01:58:08.3526799Z [ RUN      ] ModulesTest.PrettyPrintPixelUnshuffle
2022-11-23T01:58:08.3527165Z [       OK ] ModulesTest.PrettyPrintPixelUnshuffle (0 ms)
2022-11-23T01:58:08.3527558Z [ RUN      ] ModulesTest.PrettyPrintSoftplus
2022-11-23T01:58:08.3527893Z [       OK ] ModulesTest.PrettyPrintSoftplus (0 ms)
2022-11-23T01:58:08.3528233Z [ RUN      ] ModulesTest.PrettyPrintSoftshrink
2022-11-23T01:58:08.3528579Z [       OK ] ModulesTest.PrettyPrintSoftshrink (0 ms)
2022-11-23T01:58:08.3528901Z [ RUN      ] ModulesTest.PrettyPrintSoftsign
2022-11-23T01:58:08.3529235Z [       OK ] ModulesTest.PrettyPrintSoftsign (0 ms)
2022-11-23T01:58:08.3529553Z [ RUN      ] ModulesTest.PrettyPrintTanh
2022-11-23T01:58:08.3529857Z [       OK ] ModulesTest.PrettyPrintTanh (0 ms)
2022-11-23T01:58:08.3530185Z [ RUN      ] ModulesTest.PrettyPrintTanhshrink
2022-11-23T01:58:08.3530528Z [       OK ] ModulesTest.PrettyPrintTanhshrink (0 ms)
2022-11-23T01:58:08.3530850Z [ RUN      ] ModulesTest.PrettyPrintThreshold
2022-11-23T01:58:08.3531188Z [       OK ] ModulesTest.PrettyPrintThreshold (0 ms)
2022-11-23T01:58:08.3531519Z [ RUN      ] ModulesTest.PrettyPrintCTCLoss
2022-11-23T01:58:08.3531834Z [       OK ] ModulesTest.PrettyPrintCTCLoss (0 ms)
2022-11-23T01:58:08.3532179Z [ RUN      ] ModulesTest.PrettyPrintPoissonNLLLoss
2022-11-23T01:58:08.3532546Z [       OK ] ModulesTest.PrettyPrintPoissonNLLLoss (0 ms)
2022-11-23T01:58:08.3532921Z [ RUN      ] ModulesTest.PrettyPrintMarginRankingLoss
2022-11-23T01:58:08.3533293Z [       OK ] ModulesTest.PrettyPrintMarginRankingLoss (0 ms)
2022-11-23T01:58:08.3533661Z [ RUN      ] ModulesTest.PrettyPrintCrossMapLRN2d
2022-11-23T01:58:08.3534023Z [       OK ] ModulesTest.PrettyPrintCrossMapLRN2d (0 ms)
2022-11-23T01:58:08.3534366Z [ RUN      ] ModulesTest.PrettyPrintAlphaDropout
2022-11-23T01:58:08.3534723Z [       OK ] ModulesTest.PrettyPrintAlphaDropout (0 ms)
2022-11-23T01:58:08.3535099Z [ RUN      ] ModulesTest.PrettyPrintFeatureAlphaDropout
2022-11-23T01:58:08.3535490Z [       OK ] ModulesTest.PrettyPrintFeatureAlphaDropout (0 ms)
2022-11-23T01:58:08.3535877Z [ RUN      ] ModulesTest.PrettyPrintBCEWithLogitsLoss
2022-11-23T01:58:08.3536259Z [       OK ] ModulesTest.PrettyPrintBCEWithLogitsLoss (0 ms)
2022-11-23T01:58:08.3536969Z [ RUN      ] ModulesTest.PrettyPrintMultiheadAttention
2022-11-23T01:58:08.3537634Z [       OK ] ModulesTest.PrettyPrintMultiheadAttention (0 ms)
2022-11-23T01:58:08.3538284Z [ RUN      ] ModulesTest.PrettyPrintRNNCell
2022-11-23T01:58:08.3538901Z [       OK ] ModulesTest.PrettyPrintRNNCell (0 ms)
2022-11-23T01:58:08.3539409Z [ RUN      ] ModulesTest.PrettyPrintLSTMCell
2022-11-23T01:58:08.3539746Z [       OK ] ModulesTest.PrettyPrintLSTMCell (0 ms)
2022-11-23T01:58:08.3540074Z [ RUN      ] ModulesTest.PrettyPrintGRUCell
2022-11-23T01:58:08.3540403Z [       OK ] ModulesTest.PrettyPrintGRUCell (0 ms)
2022-11-23T01:58:08.3540781Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss
2022-11-23T01:58:08.3541230Z [       OK ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss (0 ms)
2022-11-23T01:58:08.3541627Z [----------] 256 tests from ModulesTest (9094 ms total)
2022-11-23T01:58:08.3541784Z 
2022-11-23T01:58:08.3541988Z [----------] 1 test from NestedTest
2022-11-23T01:58:08.3542250Z [ RUN      ] NestedTest.Nested
2022-11-23T01:58:08.3542608Z [W NestedTensorImpl.cpp:179] Warning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (function operator())
2022-11-23T01:58:08.3542998Z [       OK ] NestedTest.Nested (0 ms)
2022-11-23T01:58:08.3543280Z [----------] 1 test from NestedTest (0 ms total)
2022-11-23T01:58:08.3543428Z 
2022-11-23T01:58:08.3543590Z [----------] 10 tests from ParameterDictTest
2022-11-23T01:58:08.3543919Z [ RUN      ] ParameterDictTest.ConstructFromTensor
2022-11-23T01:58:08.3544319Z [       OK ] ParameterDictTest.ConstructFromTensor (0 ms)
2022-11-23T01:58:08.3544695Z [ RUN      ] ParameterDictTest.ConstructFromOrderedDict
2022-11-23T01:58:08.3545093Z [       OK ] ParameterDictTest.ConstructFromOrderedDict (0 ms)
2022-11-23T01:58:08.3545450Z [ RUN      ] ParameterDictTest.InsertAndContains
2022-11-23T01:58:08.3545805Z [       OK ] ParameterDictTest.InsertAndContains (0 ms)
2022-11-23T01:58:08.3546144Z [ RUN      ] ParameterDictTest.InsertAndClear
2022-11-23T01:58:08.3546482Z [       OK ] ParameterDictTest.InsertAndClear (0 ms)
2022-11-23T01:58:08.3546796Z [ RUN      ] ParameterDictTest.InsertAndPop
2022-11-23T01:58:08.3547126Z [       OK ] ParameterDictTest.InsertAndPop (2 ms)
2022-11-23T01:58:08.3547448Z [ RUN      ] ParameterDictTest.SimpleUpdate
2022-11-23T01:58:08.3547761Z [       OK ] ParameterDictTest.SimpleUpdate (1 ms)
2022-11-23T01:58:08.3548067Z [ RUN      ] ParameterDictTest.Keys
2022-11-23T01:58:08.3548360Z [       OK ] ParameterDictTest.Keys (0 ms)
2022-11-23T01:58:08.3548637Z [ RUN      ] ParameterDictTest.Values
2022-11-23T01:58:08.3548940Z [       OK ] ParameterDictTest.Values (0 ms)
2022-11-23T01:58:08.3549227Z [ RUN      ] ParameterDictTest.Get
2022-11-23T01:58:08.3549501Z [       OK ] ParameterDictTest.Get (0 ms)
2022-11-23T01:58:08.3549844Z [ RUN      ] ParameterDictTest.PrettyPrintParameterDict
2022-11-23T01:58:08.3550298Z [       OK ] ParameterDictTest.PrettyPrintParameterDict (0 ms)
2022-11-23T01:58:08.3550688Z [----------] 10 tests from ParameterDictTest (3 ms total)
2022-11-23T01:58:08.3550838Z 
2022-11-23T01:58:08.3551001Z [----------] 8 tests from ParameterListTest
2022-11-23T01:58:08.3551356Z [ RUN      ] ParameterListTest.ConstructsFromSharedPointer
2022-11-23T01:58:08.3551773Z [       OK ] ParameterListTest.ConstructsFromSharedPointer (0 ms)
2022-11-23T01:58:08.3552114Z [ RUN      ] ParameterListTest.isEmpty
2022-11-23T01:58:08.3554108Z [       OK ] ParameterListTest.isEmpty (0 ms)
2022-11-23T01:58:08.3554765Z [ RUN      ] ParameterListTest.PushBackAddsAnElement
2022-11-23T01:58:08.3555657Z [       OK ] ParameterListTest.PushBackAddsAnElement (0 ms)
2022-11-23T01:58:08.3556091Z [ RUN      ] ParameterListTest.ForEachLoop
2022-11-23T01:58:08.3556409Z [       OK ] ParameterListTest.ForEachLoop (0 ms)
2022-11-23T01:58:08.3556730Z [ RUN      ] ParameterListTest.AccessWithAt
2022-11-23T01:58:08.3557060Z [       OK ] ParameterListTest.AccessWithAt (3 ms)
2022-11-23T01:58:08.3557481Z [ RUN      ] ParameterListTest.ExtendPushesParametersFromOtherParameterList
2022-11-23T01:58:08.3558020Z [       OK ] ParameterListTest.ExtendPushesParametersFromOtherParameterList (0 ms)
2022-11-23T01:58:08.3558480Z [ RUN      ] ParameterListTest.PrettyPrintParameterList
2022-11-23T01:58:08.3558883Z [       OK ] ParameterListTest.PrettyPrintParameterList (0 ms)
2022-11-23T01:58:08.3559224Z [ RUN      ] ParameterListTest.IncrementAdd
2022-11-23T01:58:08.3559551Z [       OK ] ParameterListTest.IncrementAdd (0 ms)
2022-11-23T01:58:08.3559957Z [----------] 8 tests from ParameterListTest (3 ms total)
2022-11-23T01:58:08.3560121Z 
2022-11-23T01:58:08.3560267Z [----------] 1 test from NamespaceTests
2022-11-23T01:58:08.3560659Z [ RUN      ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace
2022-11-23T01:58:08.3561165Z [       OK ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace (0 ms)
2022-11-23T01:58:08.3561579Z [----------] 1 test from NamespaceTests (0 ms total)
2022-11-23T01:58:08.3561733Z 
2022-11-23T01:58:08.3561866Z [----------] 7 tests from NNUtilsTest
2022-11-23T01:58:08.3562145Z [ RUN      ] NNUtilsTest.ClipGradNorm
2022-11-23T01:58:08.3562482Z [       OK ] NNUtilsTest.ClipGradNorm (1 ms)
2022-11-23T01:58:08.3562810Z [ RUN      ] NNUtilsTest.ClipGradNormErrorIfNonfinite
2022-11-23T01:58:08.5255349Z [       OK ] NNUtilsTest.ClipGradNormErrorIfNonfinite (177 ms)
2022-11-23T01:58:08.5255824Z [ RUN      ] NNUtilsTest.ClipGradValue
2022-11-23T01:58:08.5256258Z [       OK ] NNUtilsTest.ClipGradValue (0 ms)
2022-11-23T01:58:08.5256730Z [ RUN      ] NNUtilsTest.ConvertParameters
2022-11-23T01:58:08.5259963Z [       OK ] NNUtilsTest.ConvertParameters (0 ms)
2022-11-23T01:58:08.5260337Z [ RUN      ] NNUtilsTest.PackSequence
2022-11-23T01:58:08.5655582Z [       OK ] NNUtilsTest.PackSequence (39 ms)
2022-11-23T01:58:08.5655899Z [ RUN      ] NNUtilsTest.PackPaddedSequence
2022-11-23T01:58:08.5811301Z [       OK ] NNUtilsTest.PackPaddedSequence (15 ms)
2022-11-23T01:58:08.5811643Z [ RUN      ] NNUtilsTest.PadSequence
2022-11-23T01:58:08.5870175Z [       OK ] NNUtilsTest.PadSequence (5 ms)
2022-11-23T01:58:08.5870587Z [----------] 7 tests from NNUtilsTest (240 ms total)
2022-11-23T01:58:08.5870748Z 
2022-11-23T01:58:08.5870910Z [----------] 3 tests from PackedSequenceTest
2022-11-23T01:58:08.5871225Z [ RUN      ] PackedSequenceTest.WrongOrder
2022-11-23T01:58:08.5910177Z [       OK ] PackedSequenceTest.WrongOrder (3 ms)
2022-11-23T01:58:08.5910505Z [ RUN      ] PackedSequenceTest.TotalLength
2022-11-23T01:58:08.5985524Z [       OK ] PackedSequenceTest.TotalLength (7 ms)
2022-11-23T01:58:08.5985815Z [ RUN      ] PackedSequenceTest.To
2022-11-23T01:58:08.5987554Z [       OK ] PackedSequenceTest.To (0 ms)
2022-11-23T01:58:08.5987911Z [----------] 3 tests from PackedSequenceTest (11 ms total)
2022-11-23T01:58:08.5988087Z 
2022-11-23T01:58:08.5988233Z [----------] 34 tests from OptimTest
2022-11-23T01:58:08.5988517Z [ RUN      ] OptimTest.OptimizerAccessors
2022-11-23T01:58:08.6005564Z [       OK ] OptimTest.OptimizerAccessors (1 ms)
2022-11-23T01:58:08.6005865Z [ RUN      ] OptimTest.OldInterface
2022-11-23T01:58:08.6007785Z [       OK ] OptimTest.OldInterface (0 ms)
2022-11-23T01:58:08.6008097Z [ RUN      ] OptimTest.XORConvergence_SGD
2022-11-23T01:58:09.8750766Z [       OK ] OptimTest.XORConvergence_SGD (1274 ms)
2022-11-23T01:58:09.8751152Z [ RUN      ] OptimTest.XORConvergence_LBFGS
2022-11-23T01:58:10.7637954Z [       OK ] OptimTest.XORConvergence_LBFGS (888 ms)
2022-11-23T01:58:10.7638718Z [ RUN      ] OptimTest.XORConvergence_Adagrad
2022-11-23T01:58:11.2539435Z [       OK ] OptimTest.XORConvergence_Adagrad (490 ms)
2022-11-23T01:58:11.2540210Z [ RUN      ] OptimTest.XORConvergence_RMSprop
2022-11-23T01:58:11.7455325Z [       OK ] OptimTest.XORConvergence_RMSprop (491 ms)
2022-11-23T01:58:11.7456185Z [ RUN      ] OptimTest.XORConvergence_RMSpropWithMomentum
2022-11-23T01:58:13.1228081Z [       OK ] OptimTest.XORConvergence_RMSpropWithMomentum (1377 ms)
2022-11-23T01:58:13.1253189Z [ RUN      ] OptimTest.XORConvergence_Adam
2022-11-23T01:58:13.6639868Z [       OK ] OptimTest.XORConvergence_Adam (541 ms)
2022-11-23T01:58:13.6640712Z [ RUN      ] OptimTest.XORConvergence_AdamWithAmsgrad
2022-11-23T01:58:14.2050317Z [       OK ] OptimTest.XORConvergence_AdamWithAmsgrad (541 ms)
2022-11-23T01:58:14.2050870Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adam
2022-11-23T01:58:14.3959713Z [       OK ] OptimTest.ProducesPyTorchValues_Adam (190 ms)
2022-11-23T01:58:14.3960123Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay
2022-11-23T01:58:14.5935713Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay (197 ms)
2022-11-23T01:58:14.5936187Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad
2022-11-23T01:58:14.7974440Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad (203 ms)
2022-11-23T01:58:14.7974912Z [ RUN      ] OptimTest.XORConvergence_AdamW
2022-11-23T01:58:15.3437578Z [       OK ] OptimTest.XORConvergence_AdamW (546 ms)
2022-11-23T01:58:15.3438131Z [ RUN      ] OptimTest.XORConvergence_AdamWWithAmsgrad
2022-11-23T01:58:15.8911565Z [       OK ] OptimTest.XORConvergence_AdamWWithAmsgrad (547 ms)
2022-11-23T01:58:15.8912027Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamW
2022-11-23T01:58:16.0890704Z [       OK ] OptimTest.ProducesPyTorchValues_AdamW (197 ms)
2022-11-23T01:58:16.0891136Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay
2022-11-23T01:58:16.2810204Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay (191 ms)
2022-11-23T01:58:16.2810650Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad
2022-11-23T01:58:16.4866624Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad (205 ms)
2022-11-23T01:58:16.4867042Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adagrad
2022-11-23T01:58:16.6477371Z [       OK ] OptimTest.ProducesPyTorchValues_Adagrad (161 ms)
2022-11-23T01:58:16.6477790Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay
2022-11-23T01:58:16.8151740Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay (167 ms)
2022-11-23T01:58:16.8152218Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay
2022-11-23T01:58:16.9825431Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay (167 ms)
2022-11-23T01:58:16.9825943Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSprop
2022-11-23T01:58:17.1531641Z [       OK ] OptimTest.ProducesPyTorchValues_RMSprop (170 ms)
2022-11-23T01:58:17.1532165Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay
2022-11-23T01:58:17.3321801Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay (178 ms)
2022-11-23T01:58:17.3322347Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered
2022-11-23T01:58:17.5252634Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered (193 ms)
2022-11-23T01:58:17.5253310Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum
2022-11-23T01:58:17.7268266Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum (201 ms)
2022-11-23T01:58:17.7268745Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGD
2022-11-23T01:58:17.8566543Z [       OK ] OptimTest.ProducesPyTorchValues_SGD (129 ms)
2022-11-23T01:58:17.8566962Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay
2022-11-23T01:58:17.9944942Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay (137 ms)
2022-11-23T01:58:17.9945392Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum
2022-11-23T01:58:18.1493500Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum (154 ms)
2022-11-23T01:58:18.1494266Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum
2022-11-23T01:58:18.3087675Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum (159 ms)
2022-11-23T01:58:18.3088129Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS
2022-11-23T01:58:18.4557909Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS (147 ms)
2022-11-23T01:58:18.4558324Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search
2022-11-23T01:58:19.1152218Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search (659 ms)
2022-11-23T01:58:19.1152614Z [ RUN      ] OptimTest.ZeroGrad
2022-11-23T01:58:19.1153204Z [       OK ] OptimTest.ZeroGrad (0 ms)
2022-11-23T01:58:19.1153620Z [ RUN      ] OptimTest.ExternalVectorOfParameters
2022-11-23T01:58:19.1155299Z [       OK ] OptimTest.ExternalVectorOfParameters (0 ms)
2022-11-23T01:58:19.1155901Z [ RUN      ] OptimTest.AddParameter_LBFGS
2022-11-23T01:58:19.1156608Z [       OK ] OptimTest.AddParameter_LBFGS (0 ms)
2022-11-23T01:58:19.1157122Z [ RUN      ] OptimTest.CheckLRChange_StepLR_Adam
2022-11-23T01:58:19.1157464Z [       OK ] OptimTest.CheckLRChange_StepLR_Adam (0 ms)
2022-11-23T01:58:19.1157804Z [----------] 34 tests from OptimTest (10516 ms total)
2022-11-23T01:58:19.1157958Z 
2022-11-23T01:58:19.1158115Z [----------] 29 tests from OrderedDictTest
2022-11-23T01:58:19.1158475Z [ RUN      ] OrderedDictTest.IsEmptyAfterDefaultConstruction
2022-11-23T01:58:19.1158893Z [       OK ] OrderedDictTest.IsEmptyAfterDefaultConstruction (0 ms)
2022-11-23T01:58:19.1159366Z [ RUN      ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent
2022-11-23T01:58:19.1159871Z [       OK ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent (0 ms)
2022-11-23T01:58:19.1160326Z [ RUN      ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent
2022-11-23T01:58:19.1160779Z [       OK ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent (0 ms)
2022-11-23T01:58:19.1161240Z [ RUN      ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent
2022-11-23T01:58:19.1183016Z [       OK ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent (2 ms)
2022-11-23T01:58:19.1183429Z [ RUN      ] OrderedDictTest.CanInitializeFromList
2022-11-23T01:58:19.1183865Z [       OK ] OrderedDictTest.CanInitializeFromList (0 ms)
2022-11-23T01:58:19.1184311Z [ RUN      ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent
2022-11-23T01:58:19.1206200Z [       OK ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent (2 ms)
2022-11-23T01:58:19.1206639Z [ RUN      ] OrderedDictTest.FrontReturnsTheFirstItem
2022-11-23T01:58:19.1207030Z [       OK ] OrderedDictTest.FrontReturnsTheFirstItem (0 ms)
2022-11-23T01:58:19.1207403Z [ RUN      ] OrderedDictTest.FrontThrowsWhenEmpty
2022-11-23T01:58:19.1216900Z [       OK ] OrderedDictTest.FrontThrowsWhenEmpty (1 ms)
2022-11-23T01:58:19.1217287Z [ RUN      ] OrderedDictTest.BackReturnsTheLastItem
2022-11-23T01:58:19.1217667Z [       OK ] OrderedDictTest.BackReturnsTheLastItem (0 ms)
2022-11-23T01:58:19.1218032Z [ RUN      ] OrderedDictTest.BackThrowsWhenEmpty
2022-11-23T01:58:19.1227790Z [       OK ] OrderedDictTest.BackThrowsWhenEmpty (1 ms)
2022-11-23T01:58:19.1228540Z [ RUN      ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent
2022-11-23T01:58:19.1229087Z [       OK ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent (0 ms)
2022-11-23T01:58:19.1229615Z [ RUN      ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent
2022-11-23T01:58:19.1230211Z [       OK ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent (0 ms)
2022-11-23T01:58:19.1230938Z [ RUN      ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent
2022-11-23T01:58:19.1231543Z [       OK ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent (0 ms)
2022-11-23T01:58:19.1232145Z [ RUN      ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers
2022-11-23T01:58:19.1232786Z [       OK ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers (0 ms)
2022-11-23T01:58:19.1233401Z [ RUN      ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent
2022-11-23T01:58:19.1251476Z [       OK ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent (2 ms)
2022-11-23T01:58:19.1252110Z [ RUN      ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict
2022-11-23T01:58:19.1252627Z [       OK ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict (0 ms)
2022-11-23T01:58:19.1253087Z [ RUN      ] OrderedDictTest.UpdateAlsoChecksForDuplicates
2022-11-23T01:58:19.1263276Z [       OK ] OrderedDictTest.UpdateAlsoChecksForDuplicates (1 ms)
2022-11-23T01:58:19.1263929Z [ RUN      ] OrderedDictTest.CanIterateItems
2022-11-23T01:58:19.1264413Z [       OK ] OrderedDictTest.CanIterateItems (0 ms)
2022-11-23T01:58:19.1264724Z [ RUN      ] OrderedDictTest.EraseWorks
2022-11-23T01:58:19.1265022Z [       OK ] OrderedDictTest.EraseWorks (0 ms)
2022-11-23T01:58:19.1265361Z [ RUN      ] OrderedDictTest.ClearMakesTheDictEmpty
2022-11-23T01:58:19.1265732Z [       OK ] OrderedDictTest.ClearMakesTheDictEmpty (0 ms)
2022-11-23T01:58:19.1266084Z [ RUN      ] OrderedDictTest.CanCopyConstruct
2022-11-23T01:58:19.1266410Z [       OK ] OrderedDictTest.CanCopyConstruct (0 ms)
2022-11-23T01:58:19.1266734Z [ RUN      ] OrderedDictTest.CanCopyAssign
2022-11-23T01:58:19.1267056Z [       OK ] OrderedDictTest.CanCopyAssign (0 ms)
2022-11-23T01:58:19.1267368Z [ RUN      ] OrderedDictTest.CanMoveConstruct
2022-11-23T01:58:19.1267704Z [       OK ] OrderedDictTest.CanMoveConstruct (0 ms)
2022-11-23T01:58:19.1268024Z [ RUN      ] OrderedDictTest.CanMoveAssign
2022-11-23T01:58:19.1268334Z [       OK ] OrderedDictTest.CanMoveAssign (0 ms)
2022-11-23T01:58:19.1268666Z [ RUN      ] OrderedDictTest.CanInsertWithBraces
2022-11-23T01:58:19.1269016Z [       OK ] OrderedDictTest.CanInsertWithBraces (0 ms)
2022-11-23T01:58:19.1269429Z [ RUN      ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription
2022-11-23T01:58:19.1287942Z [       OK ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription (2 ms)
2022-11-23T01:58:19.1288360Z [ RUN      ] OrderedDictTest.KeysReturnsAllKeys
2022-11-23T01:58:19.1288719Z [       OK ] OrderedDictTest.KeysReturnsAllKeys (0 ms)
2022-11-23T01:58:19.1289065Z [ RUN      ] OrderedDictTest.ValuesReturnsAllValues
2022-11-23T01:58:19.1289444Z [       OK ] OrderedDictTest.ValuesReturnsAllValues (0 ms)
2022-11-23T01:58:19.1289806Z [ RUN      ] OrderedDictTest.ItemsReturnsAllItems
2022-11-23T01:58:19.1290166Z [       OK ] OrderedDictTest.ItemsReturnsAllItems (0 ms)
2022-11-23T01:58:19.1290509Z [----------] 29 tests from OrderedDictTest (13 ms total)
2022-11-23T01:58:19.1290669Z 
2022-11-23T01:58:19.1290808Z [----------] 13 tests from RNNTest
2022-11-23T01:58:19.1291080Z [ RUN      ] RNNTest.CheckOutputSizes
2022-11-23T01:58:19.1368329Z [       OK ] RNNTest.CheckOutputSizes (7 ms)
2022-11-23T01:58:19.1368701Z [ RUN      ] RNNTest.CheckOutputSizesProj
2022-11-23T01:58:19.1446111Z [       OK ] RNNTest.CheckOutputSizesProj (7 ms)
2022-11-23T01:58:19.1446761Z [ RUN      ] RNNTest.CheckOutputValuesMatchPyTorch
2022-11-23T01:58:19.1450580Z [       OK ] RNNTest.CheckOutputValuesMatchPyTorch (0 ms)
2022-11-23T01:58:19.1451314Z [ RUN      ] RNNTest.EndToEndLSTM
2022-11-23T01:58:21.0917672Z [       OK ] RNNTest.EndToEndLSTM (1946 ms)
2022-11-23T01:58:21.0918046Z [ RUN      ] RNNTest.EndToEndLSTMProj
2022-11-23T01:58:22.9702256Z [       OK ] RNNTest.EndToEndLSTMProj (1878 ms)
2022-11-23T01:58:22.9702583Z [ RUN      ] RNNTest.EndToEndGRU
2022-11-23T01:58:24.6566426Z [       OK ] RNNTest.EndToEndGRU (1686 ms)
2022-11-23T01:58:24.6566785Z [ RUN      ] RNNTest.EndToEndRNNRelu
2022-11-23T01:58:25.5402624Z [       OK ] RNNTest.EndToEndRNNRelu (883 ms)
2022-11-23T01:58:25.5402976Z [ RUN      ] RNNTest.EndToEndRNNTanh
2022-11-23T01:58:26.5253116Z [       OK ] RNNTest.EndToEndRNNTanh (985 ms)
2022-11-23T01:58:26.5253519Z [ RUN      ] RNNTest.PrettyPrintRNNs
2022-11-23T01:58:26.5274454Z [       OK ] RNNTest.PrettyPrintRNNs (2 ms)
2022-11-23T01:58:26.5275036Z [ RUN      ] RNNTest.BidirectionalFlattenParameters
2022-11-23T01:58:26.5379131Z [       OK ] RNNTest.BidirectionalFlattenParameters (10 ms)
2022-11-23T01:58:26.5379749Z [ RUN      ] RNNTest.BidirectionalGRUReverseForward
2022-11-23T01:58:26.5391983Z [       OK ] RNNTest.BidirectionalGRUReverseForward (1 ms)
2022-11-23T01:58:26.5392599Z [ RUN      ] RNNTest.BidirectionalLSTMReverseForward
2022-11-23T01:58:26.5403710Z [       OK ] RNNTest.BidirectionalLSTMReverseForward (1 ms)
2022-11-23T01:58:26.5404304Z [ RUN      ] RNNTest.UsePackedSequenceAsInput
2022-11-23T01:58:26.5421141Z [       OK ] RNNTest.UsePackedSequenceAsInput (1 ms)
2022-11-23T01:58:26.5421771Z [----------] 13 tests from RNNTest (7413 ms total)
2022-11-23T01:58:26.5422023Z 
2022-11-23T01:58:26.5422266Z [----------] 19 tests from SequentialTest
2022-11-23T01:58:26.5422959Z [ RUN      ] SequentialTest.CanContainThings
2022-11-23T01:58:26.5423436Z [       OK ] SequentialTest.CanContainThings (0 ms)
2022-11-23T01:58:26.5423809Z [ RUN      ] SequentialTest.ConstructsFromSharedPointer
2022-11-23T01:58:26.5424196Z [       OK ] SequentialTest.ConstructsFromSharedPointer (0 ms)
2022-11-23T01:58:26.5424596Z [ RUN      ] SequentialTest.ConstructsFromConcreteType
2022-11-23T01:58:26.5424988Z [       OK ] SequentialTest.ConstructsFromConcreteType (0 ms)
2022-11-23T01:58:26.5425360Z [ RUN      ] SequentialTest.ConstructsFromModuleHolder
2022-11-23T01:58:26.5425747Z [       OK ] SequentialTest.ConstructsFromModuleHolder (0 ms)
2022-11-23T01:58:26.5426121Z [ RUN      ] SequentialTest.PushBackAddsAnElement
2022-11-23T01:58:26.5426490Z [       OK ] SequentialTest.PushBackAddsAnElement (0 ms)
2022-11-23T01:58:26.5426806Z [ RUN      ] SequentialTest.AccessWithAt
2022-11-23T01:58:26.5448776Z [       OK ] SequentialTest.AccessWithAt (2 ms)
2022-11-23T01:58:26.5449178Z [ RUN      ] SequentialTest.AccessWithPtr
2022-11-23T01:58:26.5472276Z [       OK ] SequentialTest.AccessWithPtr (2 ms)
2022-11-23T01:58:26.5472779Z [ RUN      ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed
2022-11-23T01:58:26.5484595Z [       OK ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed (1 ms)
2022-11-23T01:58:26.5485368Z [ RUN      ] SequentialTest.CallingForwardChainsCorrectly
2022-11-23T01:58:26.5485775Z [       OK ] SequentialTest.CallingForwardChainsCorrectly (0 ms)
2022-11-23T01:58:26.5486231Z [ RUN      ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows
2022-11-23T01:58:26.5495625Z [       OK ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows (1 ms)
2022-11-23T01:58:26.5496370Z [ RUN      ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor
2022-11-23T01:58:26.5497005Z [       OK ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor (0 ms)
2022-11-23T01:58:26.5497472Z [ RUN      ] SequentialTest.ForwardReturnsTheLastValue
2022-11-23T01:58:26.5501005Z [       OK ] SequentialTest.ForwardReturnsTheLastValue (0 ms)
2022-11-23T01:58:26.5501526Z [ RUN      ] SequentialTest.SanityCheckForHoldingStandardModules
2022-11-23T01:58:26.5502302Z [       OK ] SequentialTest.SanityCheckForHoldingStandardModules (0 ms)
2022-11-23T01:58:26.5503119Z [ RUN      ] SequentialTest.ExtendPushesModulesFromOtherSequential
2022-11-23T01:58:26.5503602Z [       OK ] SequentialTest.ExtendPushesModulesFromOtherSequential (0 ms)
2022-11-23T01:58:26.5503997Z [ RUN      ] SequentialTest.HasReferenceSemantics
2022-11-23T01:58:26.5504430Z [       OK ] SequentialTest.HasReferenceSemantics (0 ms)
2022-11-23T01:58:26.5504758Z [ RUN      ] SequentialTest.IsCloneable
2022-11-23T01:58:26.5507726Z [       OK ] SequentialTest.IsCloneable (0 ms)
2022-11-23T01:58:26.5508246Z [ RUN      ] SequentialTest.RegistersElementsAsSubmodules
2022-11-23T01:58:26.5508799Z [       OK ] SequentialTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T01:58:26.5509307Z [ RUN      ] SequentialTest.PrettyPrintSequential
2022-11-23T01:58:26.5509918Z [       OK ] SequentialTest.PrettyPrintSequential (0 ms)
2022-11-23T01:58:26.5510432Z [ RUN      ] SequentialTest.ModuleForwardMethodOptionalArg
2022-11-23T01:58:26.5539999Z [       OK ] SequentialTest.ModuleForwardMethodOptionalArg (2 ms)
2022-11-23T01:58:26.5540676Z [----------] 19 tests from SequentialTest (11 ms total)
2022-11-23T01:58:26.5540830Z 
2022-11-23T01:58:26.5540990Z [----------] 11 tests from TransformerTest
2022-11-23T01:58:26.5541334Z [ RUN      ] TransformerTest.TransformerEncoderLayer
2022-11-23T01:58:26.5626600Z [       OK ] TransformerTest.TransformerEncoderLayer (8 ms)
2022-11-23T01:58:26.5627137Z [ RUN      ] TransformerTest.TransformerDecoderLayer
2022-11-23T01:58:26.5703185Z [       OK ] TransformerTest.TransformerDecoderLayer (7 ms)
2022-11-23T01:58:26.5703769Z [ RUN      ] TransformerTest.TransformerDecoderLayer_gelu
2022-11-23T01:58:26.5748244Z [       OK ] TransformerTest.TransformerDecoderLayer_gelu (4 ms)
2022-11-23T01:58:26.5748873Z [ RUN      ] TransformerTest.TransformerEncoder
2022-11-23T01:58:26.5910640Z [       OK ] TransformerTest.TransformerEncoder (16 ms)
2022-11-23T01:58:26.5911290Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoderLayer
2022-11-23T01:58:26.5914223Z [       OK ] TransformerTest.PrettyPrintTransformerEncoderLayer (0 ms)
2022-11-23T01:58:26.5914814Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoder
2022-11-23T01:58:26.5922022Z [       OK ] TransformerTest.PrettyPrintTransformerEncoder (0 ms)
2022-11-23T01:58:26.5922641Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoderLayer
2022-11-23T01:58:26.5923765Z [       OK ] TransformerTest.PrettyPrintTransformerDecoderLayer (0 ms)
2022-11-23T01:58:26.5924260Z [ RUN      ] TransformerTest.TransformerDecoder
2022-11-23T01:58:26.6351346Z [       OK ] TransformerTest.TransformerDecoder (42 ms)
2022-11-23T01:58:26.6351767Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoder
2022-11-23T01:58:26.6360696Z [       OK ] TransformerTest.PrettyPrintTransformerDecoder (1 ms)
2022-11-23T01:58:26.6361113Z [ RUN      ] TransformerTest.Transformer
2022-11-23T01:58:26.6511369Z [       OK ] TransformerTest.Transformer (14 ms)
2022-11-23T01:58:26.6511813Z [ RUN      ] TransformerTest.TransformerArgsCorrectness
2022-11-23T01:58:26.6569446Z [       OK ] TransformerTest.TransformerArgsCorrectness (5 ms)
2022-11-23T01:58:26.6570159Z [----------] 11 tests from TransformerTest (102 ms total)
2022-11-23T01:58:26.6570347Z 
2022-11-23T01:58:26.6570501Z [----------] 23 tests from SerializeTest
2022-11-23T01:58:26.6570768Z [ RUN      ] SerializeTest.KeysFunc
2022-11-23T01:58:26.6574597Z [       OK ] SerializeTest.KeysFunc (0 ms)
2022-11-23T01:58:26.6575068Z [ RUN      ] SerializeTest.TryReadFunc
2022-11-23T01:58:26.6577250Z [       OK ] SerializeTest.TryReadFunc (0 ms)
2022-11-23T01:58:26.6577756Z [ RUN      ] SerializeTest.Basic
2022-11-23T01:58:26.6579523Z [       OK ] SerializeTest.Basic (0 ms)
2022-11-23T01:58:26.6580039Z [ RUN      ] SerializeTest.MathBits
2022-11-23T01:58:26.6654123Z [       OK ] SerializeTest.MathBits (7 ms)
2022-11-23T01:58:26.6654420Z [ RUN      ] SerializeTest.BasicToFile
2022-11-23T01:58:26.6657778Z [       OK ] SerializeTest.BasicToFile (0 ms)
2022-11-23T01:58:26.6658128Z [ RUN      ] SerializeTest.BasicViaFunc
2022-11-23T01:58:26.6661169Z [       OK ] SerializeTest.BasicViaFunc (0 ms)
2022-11-23T01:58:26.6661517Z [ RUN      ] SerializeTest.Resized
2022-11-23T01:58:26.6663267Z [       OK ] SerializeTest.Resized (0 ms)
2022-11-23T01:58:26.6663589Z [ RUN      ] SerializeTest.Sliced
2022-11-23T01:58:26.6665315Z [       OK ] SerializeTest.Sliced (0 ms)
2022-11-23T01:58:26.6665669Z [ RUN      ] SerializeTest.NonContiguous
2022-11-23T01:58:26.6667416Z [       OK ] SerializeTest.NonContiguous (0 ms)
2022-11-23T01:58:26.6667789Z [ RUN      ] SerializeTest.ErrorOnMissingKey
2022-11-23T01:58:26.6746035Z [       OK ] SerializeTest.ErrorOnMissingKey (7 ms)
2022-11-23T01:58:26.6746398Z [ RUN      ] SerializeTest.XOR
2022-11-23T01:58:26.8413994Z [       OK ] SerializeTest.XOR (166 ms)
2022-11-23T01:58:26.8414324Z [ RUN      ] SerializeTest.Optim
2022-11-23T01:58:26.8436527Z [       OK ] SerializeTest.Optim (2 ms)
2022-11-23T01:58:26.8436861Z [ RUN      ] SerializeTest.Optim_Adagrad
2022-11-23T01:58:26.8466453Z [       OK ] SerializeTest.Optim_Adagrad (2 ms)
2022-11-23T01:58:26.8466779Z [ RUN      ] SerializeTest.Optim_SGD
2022-11-23T01:58:26.8493527Z [       OK ] SerializeTest.Optim_SGD (2 ms)
2022-11-23T01:58:26.8493822Z [ RUN      ] SerializeTest.Optim_Adam
2022-11-23T01:58:26.8527863Z [       OK ] SerializeTest.Optim_Adam (3 ms)
2022-11-23T01:58:26.8528165Z [ RUN      ] SerializeTest.Optim_AdamW
2022-11-23T01:58:26.8562558Z [       OK ] SerializeTest.Optim_AdamW (3 ms)
2022-11-23T01:58:26.8562860Z [ RUN      ] SerializeTest.Optim_RMSprop
2022-11-23T01:58:26.8595842Z [       OK ] SerializeTest.Optim_RMSprop (3 ms)
2022-11-23T01:58:26.8596129Z [ RUN      ] SerializeTest.Optim_LBFGS
2022-11-23T01:58:26.8628789Z [       OK ] SerializeTest.Optim_LBFGS (3 ms)
2022-11-23T01:58:26.8629320Z [ RUN      ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers
2022-11-23T01:58:26.8632902Z [       OK ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers (0 ms)
2022-11-23T01:58:26.8633385Z [ RUN      ] SerializeTest.VectorOfTensors
2022-11-23T01:58:26.8635448Z [       OK ] SerializeTest.VectorOfTensors (0 ms)
2022-11-23T01:58:26.8635746Z [ RUN      ] SerializeTest.IValue
2022-11-23T01:58:26.8638396Z [       OK ] SerializeTest.IValue (0 ms)
2022-11-23T01:58:26.8638851Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule
2022-11-23T01:58:26.8640113Z [       OK ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule (0 ms)
2022-11-23T01:58:26.8640647Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule
2022-11-23T01:58:26.8645222Z [       OK ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule (0 ms)
2022-11-23T01:58:26.8645836Z [----------] 23 tests from SerializeTest (207 ms total)
2022-11-23T01:58:26.8646012Z 
2022-11-23T01:58:26.8646376Z [----------] 1 test from SpecialTest
2022-11-23T01:58:26.8647025Z [ RUN      ] SpecialTest.special
2022-11-23T01:58:26.8647521Z [       OK ] SpecialTest.special (0 ms)
2022-11-23T01:58:26.8647823Z [----------] 1 test from SpecialTest (0 ms total)
2022-11-23T01:58:26.8647971Z 
2022-11-23T01:58:26.8648115Z [----------] 5 tests from TestStatic
2022-11-23T01:58:26.8648370Z [ RUN      ] TestStatic.AllOf
2022-11-23T01:58:26.8648617Z [       OK ] TestStatic.AllOf (0 ms)
2022-11-23T01:58:26.8648870Z [ RUN      ] TestStatic.AnyOf
2022-11-23T01:58:26.8649132Z [       OK ] TestStatic.AnyOf (0 ms)
2022-11-23T01:58:26.8649455Z [ RUN      ] TestStatic.EnableIfModule
2022-11-23T01:58:26.8649762Z [       OK ] TestStatic.EnableIfModule (0 ms)
2022-11-23T01:58:26.8650072Z [ RUN      ] TestStatic.ReturnTypeOfForward
2022-11-23T01:58:26.8650388Z [       OK ] TestStatic.ReturnTypeOfForward (0 ms)
2022-11-23T01:58:26.8650675Z [ RUN      ] TestStatic.Apply
2022-11-23T01:58:26.8650944Z [       OK ] TestStatic.Apply (0 ms)
2022-11-23T01:58:26.8651227Z [----------] 5 tests from TestStatic (0 ms total)
2022-11-23T01:58:26.8651374Z 
2022-11-23T01:58:26.8651517Z [----------] 45 tests from TensorTest
2022-11-23T01:58:26.8651780Z [ RUN      ] TensorTest.ToDtype
2022-11-23T01:58:26.8655564Z [       OK ] TensorTest.ToDtype (0 ms)
2022-11-23T01:58:26.8655926Z [ RUN      ] TensorTest.ToTensorAndTensorAttributes
2022-11-23T01:58:26.8656302Z [       OK ] TensorTest.ToTensorAndTensorAttributes (0 ms)
2022-11-23T01:58:26.8656856Z [ RUN      ] TensorTest.ToOptionsWithRequiresGrad
2022-11-23T01:58:26.8680663Z [       OK ] TensorTest.ToOptionsWithRequiresGrad (2 ms)
2022-11-23T01:58:26.8681372Z [ RUN      ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame
2022-11-23T01:58:26.8682171Z [       OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame (0 ms)
2022-11-23T01:58:26.8682797Z [ RUN      ] TensorTest.AtTensorCtorScalar
2022-11-23T01:58:26.8683384Z [       OK ] TensorTest.AtTensorCtorScalar (0 ms)
2022-11-23T01:58:26.8683977Z [ RUN      ] TensorTest.AtTensorCtorSingleDim
2022-11-23T01:58:26.8684596Z [       OK ] TensorTest.AtTensorCtorSingleDim (0 ms)
2022-11-23T01:58:26.8685014Z [ RUN      ] TensorTest.AtTensorCastRealToComplex
2022-11-23T01:58:26.8685372Z [       OK ] TensorTest.AtTensorCastRealToComplex (0 ms)
2022-11-23T01:58:26.8685763Z [ RUN      ] TensorTest.AtTensorCastComplexToRealErrorChecks
2022-11-23T01:58:26.8736553Z [       OK ] TensorTest.AtTensorCastComplexToRealErrorChecks (5 ms)
2022-11-23T01:58:26.8737273Z [ RUN      ] TensorTest.TorchTensorCtorScalarIntegralType
2022-11-23T01:58:26.8738039Z [       OK ] TensorTest.TorchTensorCtorScalarIntegralType (0 ms)
2022-11-23T01:58:26.8738759Z [ RUN      ] TensorTest.TorchTensorCtorScalarFloatingType
2022-11-23T01:58:26.8739479Z [       OK ] TensorTest.TorchTensorCtorScalarFloatingType (0 ms)
2022-11-23T01:58:26.8740194Z [ RUN      ] TensorTest.TorchTensorCtorScalarBoolType
2022-11-23T01:58:26.8740894Z [       OK ] TensorTest.TorchTensorCtorScalarBoolType (0 ms)
2022-11-23T01:58:26.8741634Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimIntegralType
2022-11-23T01:58:26.8742109Z [       OK ] TensorTest.TorchTensorCtorSingleDimIntegralType (0 ms)
2022-11-23T01:58:26.8742530Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimFloatingType
2022-11-23T01:58:26.8743047Z [       OK ] TensorTest.TorchTensorCtorSingleDimFloatingType (0 ms)
2022-11-23T01:58:26.8743786Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimBoolType
2022-11-23T01:58:26.8744219Z [       OK ] TensorTest.TorchTensorCtorSingleDimBoolType (0 ms)
2022-11-23T01:58:26.8744691Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimIntegralType
2022-11-23T01:58:26.8745244Z [       OK ] TensorTest.TorchTensorCtorMultiDimIntegralType (0 ms)
2022-11-23T01:58:26.8745945Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimFloatingType
2022-11-23T01:58:26.8746580Z [       OK ] TensorTest.TorchTensorCtorMultiDimFloatingType (0 ms)
2022-11-23T01:58:26.8747055Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimBoolType
2022-11-23T01:58:26.8747778Z [       OK ] TensorTest.TorchTensorCtorMultiDimBoolType (0 ms)
2022-11-23T01:58:26.8748169Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimWithOptions
2022-11-23T01:58:26.8748583Z [       OK ] TensorTest.TorchTensorCtorMultiDimWithOptions (0 ms)
2022-11-23T01:58:26.8749055Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimErrorChecks
2022-11-23T01:58:26.8805012Z [       OK ] TensorTest.TorchTensorCtorMultiDimErrorChecks (5 ms)
2022-11-23T01:58:26.8805757Z [ RUN      ] TensorTest.TorchTensorCastRealToComplex
2022-11-23T01:58:26.8806170Z [       OK ] TensorTest.TorchTensorCastRealToComplex (0 ms)
2022-11-23T01:58:26.8806586Z [ RUN      ] TensorTest.TorchTensorCastComplexToRealErrorChecks
2022-11-23T01:58:26.8806959Z [W Copy.cpp:275] Warning: Casting complex values to real discards the imaginary part (function operator())
2022-11-23T01:58:26.8817861Z [       OK ] TensorTest.TorchTensorCastComplexToRealErrorChecks (1 ms)
2022-11-23T01:58:26.8818371Z [ RUN      ] TensorTest.TorchTensorCtorZeroSizedDim
2022-11-23T01:58:26.8818982Z [       OK ] TensorTest.TorchTensorCtorZeroSizedDim (0 ms)
2022-11-23T01:58:26.8819702Z [ RUN      ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype
2022-11-23T01:58:26.8820393Z [       OK ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype (0 ms)
2022-11-23T01:58:26.8821015Z [ RUN      ] TensorTest.TorchTensorCtorWithNonDtypeOptions
2022-11-23T01:58:26.8821699Z [       OK ] TensorTest.TorchTensorCtorWithNonDtypeOptions (0 ms)
2022-11-23T01:58:26.8822036Z [ RUN      ] TensorTest.Arange
2022-11-23T01:58:26.8822309Z [       OK ] TensorTest.Arange (0 ms)
2022-11-23T01:58:26.8822628Z [ RUN      ] TensorTest.PrettyPrintTensorDataContainer
2022-11-23T01:58:26.8823022Z [       OK ] TensorTest.PrettyPrintTensorDataContainer (0 ms)
2022-11-23T01:58:26.8823465Z [ RUN      ] TensorTest.TensorDataContainerCallingAccessorOfWrongType
2022-11-23T01:58:26.8884901Z [       OK ] TensorTest.TensorDataContainerCallingAccessorOfWrongType (6 ms)
2022-11-23T01:58:26.8885511Z [ RUN      ] TensorTest.FromBlob
2022-11-23T01:58:26.8886007Z [       OK ] TensorTest.FromBlob (0 ms)
2022-11-23T01:58:26.8886544Z [ RUN      ] TensorTest.FromBlobUsesDeleter
2022-11-23T01:58:26.8887128Z [       OK ] TensorTest.FromBlobUsesDeleter (0 ms)
2022-11-23T01:58:26.8887688Z [ RUN      ] TensorTest.FromBlobWithStrides
2022-11-23T01:58:26.8888279Z [       OK ] TensorTest.FromBlobWithStrides (0 ms)
2022-11-23T01:58:26.8888775Z [ RUN      ] TensorTest.Item
2022-11-23T01:58:26.8889216Z [       OK ] TensorTest.Item (0 ms)
2022-11-23T01:58:26.8889673Z [ RUN      ] TensorTest.DataPtr
2022-11-23T01:58:26.8890152Z [       OK ] TensorTest.DataPtr (0 ms)
2022-11-23T01:58:26.8890590Z [ RUN      ] TensorTest.Data
2022-11-23T01:58:26.8891043Z [       OK ] TensorTest.Data (0 ms)
2022-11-23T01:58:26.8891536Z [ RUN      ] TensorTest.BackwardAndGrad
2022-11-23T01:58:26.8892076Z [       OK ] TensorTest.BackwardAndGrad (0 ms)
2022-11-23T01:58:26.8892666Z [ RUN      ] TensorTest.BackwardCreatesOnesGrad
2022-11-23T01:58:26.8893278Z [       OK ] TensorTest.BackwardCreatesOnesGrad (0 ms)
2022-11-23T01:58:26.8893897Z [ RUN      ] TensorTest.BackwardNonScalarOutputs
2022-11-23T01:58:26.8921054Z [       OK ] TensorTest.BackwardNonScalarOutputs (3 ms)
2022-11-23T01:58:26.8921715Z [ RUN      ] TensorTest.IsLeaf
2022-11-23T01:58:26.8922092Z [       OK ] TensorTest.IsLeaf (0 ms)
2022-11-23T01:58:26.8922550Z [ RUN      ] TensorTest.OutputNr
2022-11-23T01:58:26.8923030Z [       OK ] TensorTest.OutputNr (0 ms)
2022-11-23T01:58:26.8923303Z [ RUN      ] TensorTest.Version
2022-11-23T01:58:26.8923583Z [       OK ] TensorTest.Version (0 ms)
2022-11-23T01:58:26.8923837Z [ RUN      ] TensorTest.Detach
2022-11-23T01:58:26.8924106Z [       OK ] TensorTest.Detach (0 ms)
2022-11-23T01:58:26.8924382Z [ RUN      ] TensorTest.DetachInplace
2022-11-23T01:58:26.8924730Z [       OK ] TensorTest.DetachInplace (0 ms)
2022-11-23T01:58:26.8925008Z [ RUN      ] TensorTest.SetData
2022-11-23T01:58:26.8925281Z [       OK ] TensorTest.SetData (0 ms)
2022-11-23T01:58:26.8925567Z [ RUN      ] TensorTest.RequiresGradInplace
2022-11-23T01:58:26.8948677Z [       OK ] TensorTest.RequiresGradInplace (2 ms)
2022-11-23T01:58:26.8949173Z [ RUN      ] TensorTest.StdDimension
2022-11-23T01:58:26.8949995Z [       OK ] TensorTest.StdDimension (0 ms)
2022-11-23T01:58:26.8950476Z [ RUN      ] TensorTest.ReshapeAlias
2022-11-23T01:58:26.8952013Z [       OK ] TensorTest.ReshapeAlias (0 ms)
2022-11-23T01:58:26.8952433Z [----------] 45 tests from TensorTest (30 ms total)
2022-11-23T01:58:26.8952595Z 
2022-11-23T01:58:26.8952760Z [----------] 36 tests from TensorIndexingTest
2022-11-23T01:58:26.8953051Z [ RUN      ] TensorIndexingTest.Slice
2022-11-23T01:58:26.8953359Z [       OK ] TensorIndexingTest.Slice (0 ms)
2022-11-23T01:58:26.8953657Z [ RUN      ] TensorIndexingTest.TensorIndex
2022-11-23T01:58:26.8965040Z [       OK ] TensorIndexingTest.TensorIndex (1 ms)
2022-11-23T01:58:26.8965647Z [ RUN      ] TensorIndexingTest.TestNoIndices
2022-11-23T01:58:26.9051879Z [       OK ] TensorIndexingTest.TestNoIndices (8 ms)
2022-11-23T01:58:26.9052571Z [ RUN      ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor
2022-11-23T01:58:26.9053411Z [       OK ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor (0 ms)
2022-11-23T01:58:26.9054075Z [ RUN      ] TensorIndexingTest.TestSingleInt
2022-11-23T01:58:26.9054529Z [       OK ] TensorIndexingTest.TestSingleInt (0 ms)
2022-11-23T01:58:26.9055038Z [ RUN      ] TensorIndexingTest.TestMultipleInt
2022-11-23T01:58:26.9055449Z [       OK ] TensorIndexingTest.TestMultipleInt (0 ms)
2022-11-23T01:58:26.9055927Z [ RUN      ] TensorIndexingTest.TestNone
2022-11-23T01:58:26.9056339Z [       OK ] TensorIndexingTest.TestNone (0 ms)
2022-11-23T01:58:26.9056851Z [ RUN      ] TensorIndexingTest.TestStep
2022-11-23T01:58:26.9057167Z [       OK ] TensorIndexingTest.TestStep (0 ms)
2022-11-23T01:58:26.9057563Z [ RUN      ] TensorIndexingTest.TestStepAssignment
2022-11-23T01:58:26.9058050Z [       OK ] TensorIndexingTest.TestStepAssignment (0 ms)
2022-11-23T01:58:26.9058579Z [ RUN      ] TensorIndexingTest.TestBoolIndices
2022-11-23T01:58:26.9059100Z [       OK ] TensorIndexingTest.TestBoolIndices (0 ms)
2022-11-23T01:58:26.9059526Z [ RUN      ] TensorIndexingTest.TestBoolIndicesAccumulate
2022-11-23T01:58:26.9060029Z [       OK ] TensorIndexingTest.TestBoolIndicesAccumulate (0 ms)
2022-11-23T01:58:26.9060591Z [ RUN      ] TensorIndexingTest.TestMultipleBoolIndices
2022-11-23T01:58:26.9061157Z [       OK ] TensorIndexingTest.TestMultipleBoolIndices (0 ms)
2022-11-23T01:58:26.9061669Z [ RUN      ] TensorIndexingTest.TestByteMask
2022-11-23T01:58:26.9062093Z [       OK ] TensorIndexingTest.TestByteMask (0 ms)
2022-11-23T01:58:26.9062467Z [ RUN      ] TensorIndexingTest.TestByteMaskAccumulate
2022-11-23T01:58:26.9063006Z [       OK ] TensorIndexingTest.TestByteMaskAccumulate (0 ms)
2022-11-23T01:58:26.9063483Z [ RUN      ] TensorIndexingTest.TestMultipleByteMask
2022-11-23T01:58:26.9063993Z [       OK ] TensorIndexingTest.TestMultipleByteMask (0 ms)
2022-11-23T01:58:26.9064379Z [ RUN      ] TensorIndexingTest.TestByteMask2d
2022-11-23T01:58:26.9064864Z [       OK ] TensorIndexingTest.TestByteMask2d (0 ms)
2022-11-23T01:58:26.9065236Z [ RUN      ] TensorIndexingTest.TestIntIndices
2022-11-23T01:58:26.9065577Z [       OK ] TensorIndexingTest.TestIntIndices (0 ms)
2022-11-23T01:58:26.9065945Z [ RUN      ] TensorIndexingTest.TestIntIndices2d
2022-11-23T01:58:26.9070844Z [       OK ] TensorIndexingTest.TestIntIndices2d (0 ms)
2022-11-23T01:58:26.9071257Z [ RUN      ] TensorIndexingTest.TestIntIndicesBroadcast
2022-11-23T01:58:26.9071659Z [       OK ] TensorIndexingTest.TestIntIndicesBroadcast (0 ms)
2022-11-23T01:58:26.9072028Z [ RUN      ] TensorIndexingTest.TestEmptyIndex
2022-11-23T01:58:26.9072359Z [       OK ] TensorIndexingTest.TestEmptyIndex (0 ms)
2022-11-23T01:58:26.9072712Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndex
2022-11-23T01:58:26.9125150Z [       OK ] TensorIndexingTest.TestEmptyNdimIndex (5 ms)
2022-11-23T01:58:26.9125523Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndexBool
2022-11-23T01:58:26.9146163Z [       OK ] TensorIndexingTest.TestEmptyNdimIndexBool (2 ms)
2022-11-23T01:58:26.9146571Z [ RUN      ] TensorIndexingTest.TestEmptySlice
2022-11-23T01:58:26.9147030Z [       OK ] TensorIndexingTest.TestEmptySlice (0 ms)
2022-11-23T01:58:26.9147481Z [ RUN      ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices
2022-11-23T01:58:26.9148028Z [       OK ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices (0 ms)
2022-11-23T01:58:26.9148460Z [ RUN      ] TensorIndexingTest.TestIndexSetitemBoolsSlices
2022-11-23T01:58:26.9235604Z [       OK ] TensorIndexingTest.TestIndexSetitemBoolsSlices (8 ms)
2022-11-23T01:58:26.9236189Z [ RUN      ] TensorIndexingTest.TestIndexScalarWithBoolMask
2022-11-23T01:58:26.9236820Z [       OK ] TensorIndexingTest.TestIndexScalarWithBoolMask (0 ms)
2022-11-23T01:58:26.9237243Z [ RUN      ] TensorIndexingTest.TestSetitemExpansionError
2022-11-23T01:58:26.9349525Z [       OK ] TensorIndexingTest.TestSetitemExpansionError (11 ms)
2022-11-23T01:58:26.9349921Z [ RUN      ] TensorIndexingTest.TestGetitemScalars
2022-11-23T01:58:26.9458244Z [       OK ] TensorIndexingTest.TestGetitemScalars (10 ms)
2022-11-23T01:58:26.9458677Z [ RUN      ] TensorIndexingTest.TestSetitemScalars
2022-11-23T01:58:26.9565275Z [       OK ] TensorIndexingTest.TestSetitemScalars (10 ms)
2022-11-23T01:58:26.9565874Z [ RUN      ] TensorIndexingTest.TestBasicAdvancedCombined
2022-11-23T01:58:26.9566763Z [       OK ] TensorIndexingTest.TestBasicAdvancedCombined (0 ms)
2022-11-23T01:58:26.9567436Z [ RUN      ] TensorIndexingTest.TestIntAssignment
2022-11-23T01:58:26.9567991Z [       OK ] TensorIndexingTest.TestIntAssignment (0 ms)
2022-11-23T01:58:26.9568546Z [ RUN      ] TensorIndexingTest.TestByteTensorAssignment
2022-11-23T01:58:26.9569366Z [       OK ] TensorIndexingTest.TestByteTensorAssignment (0 ms)
2022-11-23T01:58:26.9570064Z [ RUN      ] TensorIndexingTest.TestVariableSlicing
2022-11-23T01:58:26.9570546Z [       OK ] TensorIndexingTest.TestVariableSlicing (0 ms)
2022-11-23T01:58:26.9570926Z [ RUN      ] TensorIndexingTest.TestEllipsisTensor
2022-11-23T01:58:26.9571284Z [       OK ] TensorIndexingTest.TestEllipsisTensor (0 ms)
2022-11-23T01:58:26.9571650Z [ RUN      ] TensorIndexingTest.TestOutOfBoundIndex
2022-11-23T01:58:26.9667168Z [       OK ] TensorIndexingTest.TestOutOfBoundIndex (9 ms)
2022-11-23T01:58:26.9667975Z [ RUN      ] TensorIndexingTest.TestZeroDimIndex
2022-11-23T01:58:26.9688079Z [       OK ] TensorIndexingTest.TestZeroDimIndex (2 ms)
2022-11-23T01:58:26.9688684Z [----------] 36 tests from TensorIndexingTest (73 ms total)
2022-11-23T01:58:26.9688868Z 
2022-11-23T01:58:26.9689021Z [----------] 18 tests from NumpyTests
2022-11-23T01:58:26.9689307Z [ RUN      ] NumpyTests.TestNoneIndex
2022-11-23T01:58:26.9689594Z [       OK ] NumpyTests.TestNoneIndex (0 ms)
2022-11-23T01:58:26.9689911Z [ RUN      ] NumpyTests.TestEmptyFancyIndex
2022-11-23T01:58:26.9741124Z [       OK ] NumpyTests.TestEmptyFancyIndex (5 ms)
2022-11-23T01:58:26.9741750Z [ RUN      ] NumpyTests.TestEllipsisIndex
2022-11-23T01:58:26.9742207Z [       OK ] NumpyTests.TestEllipsisIndex (0 ms)
2022-11-23T01:58:26.9742523Z [ RUN      ] NumpyTests.TestSingleIntIndex
2022-11-23T01:58:26.9763681Z [       OK ] NumpyTests.TestSingleIntIndex (2 ms)
2022-11-23T01:58:26.9764145Z [ RUN      ] NumpyTests.TestSingleBoolIndex
2022-11-23T01:58:26.9764601Z [       OK ] NumpyTests.TestSingleBoolIndex (0 ms)
2022-11-23T01:58:26.9764946Z [ RUN      ] NumpyTests.TestBooleanShapeMismatch
2022-11-23T01:58:26.9973993Z [       OK ] NumpyTests.TestBooleanShapeMismatch (20 ms)
2022-11-23T01:58:26.9974499Z [ RUN      ] NumpyTests.TestBooleanIndexingOnedim
2022-11-23T01:58:26.9975201Z [       OK ] NumpyTests.TestBooleanIndexingOnedim (0 ms)
2022-11-23T01:58:26.9975673Z [ RUN      ] NumpyTests.TestBooleanAssignmentValueMismatch
2022-11-23T01:58:27.0126757Z [       OK ] NumpyTests.TestBooleanAssignmentValueMismatch (15 ms)
2022-11-23T01:58:27.0127443Z [ RUN      ] NumpyTests.TestBooleanIndexingTwodim
2022-11-23T01:58:27.0127980Z [       OK ] NumpyTests.TestBooleanIndexingTwodim (0 ms)
2022-11-23T01:58:27.0128358Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdness
2022-11-23T01:58:27.0236832Z [       OK ] NumpyTests.TestBooleanIndexingWeirdness (10 ms)
2022-11-23T01:58:27.0237234Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdnessTensors
2022-11-23T01:58:27.0346666Z [       OK ] NumpyTests.TestBooleanIndexingWeirdnessTensors (10 ms)
2022-11-23T01:58:27.0347268Z [ RUN      ] NumpyTests.TestBooleanIndexingAlldims
2022-11-23T01:58:27.0347705Z [       OK ] NumpyTests.TestBooleanIndexingAlldims (0 ms)
2022-11-23T01:58:27.0348258Z [ RUN      ] NumpyTests.TestBooleanListIndexing
2022-11-23T01:58:27.0348626Z [       OK ] NumpyTests.TestBooleanListIndexing (0 ms)
2022-11-23T01:58:27.0348992Z [ RUN      ] NumpyTests.TestEverythingReturnsViews
2022-11-23T01:58:27.0349343Z [       OK ] NumpyTests.TestEverythingReturnsViews (0 ms)
2022-11-23T01:58:27.0349696Z [ RUN      ] NumpyTests.TestBroaderrorsIndexing
2022-11-23T01:58:27.0565162Z [       OK ] NumpyTests.TestBroaderrorsIndexing (21 ms)
2022-11-23T01:58:27.0565535Z [ RUN      ] NumpyTests.TestTrivialFancyOutOfBounds
2022-11-23T01:58:27.0830541Z [       OK ] NumpyTests.TestTrivialFancyOutOfBounds (26 ms)
2022-11-23T01:58:27.0830972Z [ RUN      ] NumpyTests.TestIndexIsLarger
2022-11-23T01:58:27.0831300Z [       OK ] NumpyTests.TestIndexIsLarger (0 ms)
2022-11-23T01:58:27.0831614Z [ RUN      ] NumpyTests.TestBroadcastSubspace
2022-11-23T01:58:27.0833859Z [       OK ] NumpyTests.TestBroadcastSubspace (0 ms)
2022-11-23T01:58:27.0834402Z [----------] 18 tests from NumpyTests (114 ms total)
2022-11-23T01:58:27.0834629Z 
2022-11-23T01:58:27.0834849Z [----------] 5 tests from TensorOptionsTest
2022-11-23T01:58:27.0835290Z [ RUN      ] TensorOptionsTest.DefaultsToTheRightValues
2022-11-23T01:58:27.0835805Z [       OK ] TensorOptionsTest.DefaultsToTheRightValues (0 ms)
2022-11-23T01:58:27.0836627Z [ RUN      ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions
2022-11-23T01:58:27.0837287Z [       OK ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions (0 ms)
2022-11-23T01:58:27.0837875Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTypes
2022-11-23T01:58:27.0838409Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTypes (0 ms)
2022-11-23T01:58:27.0838943Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTensors
2022-11-23T01:58:27.0839472Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTensors (0 ms)
2022-11-23T01:58:27.0840004Z [ RUN      ] TensorOptionsTest.ConstructsWellFromVariables
2022-11-23T01:58:27.0840598Z [       OK ] TensorOptionsTest.ConstructsWellFromVariables (0 ms)
2022-11-23T01:58:27.0841082Z [----------] 5 tests from TensorOptionsTest (0 ms total)
2022-11-23T01:58:27.0841290Z 
2022-11-23T01:58:27.0841475Z [----------] 1 test from DeviceTest
2022-11-23T01:58:27.0841889Z [ RUN      ] DeviceTest.ParsesCorrectlyFromString
2022-11-23T01:58:27.0919930Z [       OK ] DeviceTest.ParsesCorrectlyFromString (8 ms)
2022-11-23T01:58:27.0920524Z [----------] 1 test from DeviceTest (8 ms total)
2022-11-23T01:58:27.0920728Z 
2022-11-23T01:58:27.0920943Z [----------] 3 tests from DefaultDtypeTest
2022-11-23T01:58:27.0921387Z [ RUN      ] DefaultDtypeTest.CanSetAndGetDefaultDtype
2022-11-23T01:58:27.0921883Z [       OK ] DefaultDtypeTest.CanSetAndGetDefaultDtype (0 ms)
2022-11-23T01:58:27.0922418Z [ RUN      ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault
2022-11-23T01:58:27.0922999Z [       OK ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault (0 ms)
2022-11-23T01:58:27.0923563Z [ RUN      ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype
2022-11-23T01:58:27.0924121Z [       OK ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype (0 ms)
2022-11-23T01:58:27.0924631Z [----------] 3 tests from DefaultDtypeTest (0 ms total)
2022-11-23T01:58:27.0924838Z 
2022-11-23T01:58:27.0925040Z [----------] 1 test from TorchIncludeTest
2022-11-23T01:58:27.0925430Z [ RUN      ] TorchIncludeTest.GetSetNumThreads
2022-11-23T01:58:27.1059913Z [       OK ] TorchIncludeTest.GetSetNumThreads (13 ms)
2022-11-23T01:58:27.1060575Z [----------] 1 test from TorchIncludeTest (13 ms total)
2022-11-23T01:58:27.1060751Z 
2022-11-23T01:58:27.1060919Z [----------] 28 tests from InferenceModeTest
2022-11-23T01:58:27.1061228Z [ RUN      ] InferenceModeTest.TestTLSState
2022-11-23T01:58:27.1061551Z [       OK ] InferenceModeTest.TestTLSState (0 ms)
2022-11-23T01:58:27.1061928Z [ RUN      ] InferenceModeTest.TestInferenceTensorCreation
2022-11-23T01:58:27.1062340Z [       OK ] InferenceModeTest.TestInferenceTensorCreation (0 ms)
2022-11-23T01:58:27.1062751Z [ RUN      ] InferenceModeTest.TestExistingAutogradSession
2022-11-23T01:58:27.1130808Z [       OK ] InferenceModeTest.TestExistingAutogradSession (7 ms)
2022-11-23T01:58:27.1131597Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp
2022-11-23T01:58:27.1132492Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp (0 ms)
2022-11-23T01:58:27.1133128Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp
2022-11-23T01:58:27.1133650Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp (0 ms)
2022-11-23T01:58:27.1134160Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp
2022-11-23T01:58:27.1134665Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp (0 ms)
2022-11-23T01:58:27.1135163Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp
2022-11-23T01:58:27.1135860Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp (0 ms)
2022-11-23T01:58:27.1136372Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp
2022-11-23T01:58:27.1185627Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp (5 ms)
2022-11-23T01:58:27.1186490Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp
2022-11-23T01:58:27.1187393Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp (0 ms)
2022-11-23T01:58:27.1188067Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode
2022-11-23T01:58:27.1188597Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode (0 ms)
2022-11-23T01:58:27.1189215Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode
2022-11-23T01:58:27.1189728Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode (0 ms)
2022-11-23T01:58:27.1190238Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode
2022-11-23T01:58:27.1190735Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode (0 ms)
2022-11-23T01:58:27.1191228Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode
2022-11-23T01:58:27.1219800Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode (3 ms)
2022-11-23T01:58:27.1220338Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp
2022-11-23T01:58:27.1251170Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp (3 ms)
2022-11-23T01:58:27.1251686Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp
2022-11-23T01:58:27.1332315Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp (8 ms)
2022-11-23T01:58:27.1332814Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp
2022-11-23T01:58:27.1333294Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp (0 ms)
2022-11-23T01:58:27.1333740Z [ RUN      ] InferenceModeTest.TestHandleDirectViewOnRebase
2022-11-23T01:58:27.1364649Z [       OK ] InferenceModeTest.TestHandleDirectViewOnRebase (3 ms)
2022-11-23T01:58:27.1365067Z [ RUN      ] InferenceModeTest.TestHandleInDirectViewOnRebase
2022-11-23T01:58:27.1386914Z [       OK ] InferenceModeTest.TestHandleInDirectViewOnRebase (2 ms)
2022-11-23T01:58:27.1387342Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagation
2022-11-23T01:58:27.1448051Z [       OK ] InferenceModeTest.TestCreationMetaPropagation (6 ms)
2022-11-23T01:58:27.1448481Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagationInput
2022-11-23T01:58:27.1570189Z [       OK ] InferenceModeTest.TestCreationMetaPropagationInput (12 ms)
2022-11-23T01:58:27.1570645Z [ RUN      ] InferenceModeTest.TestInplaceCopyOnInferenceTensor
2022-11-23T01:58:27.1642481Z [       OK ] InferenceModeTest.TestInplaceCopyOnInferenceTensor (7 ms)
2022-11-23T01:58:27.1642919Z [ RUN      ] InferenceModeTest.TestSetRequiresGradInNormalMode
2022-11-23T01:58:27.1652460Z [       OK ] InferenceModeTest.TestSetRequiresGradInNormalMode (1 ms)
2022-11-23T01:58:27.1652879Z [ RUN      ] InferenceModeTest.TestAccessVersionCounter
2022-11-23T01:58:27.1686162Z [       OK ] InferenceModeTest.TestAccessVersionCounter (3 ms)
2022-11-23T01:58:27.1686689Z [ RUN      ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor
2022-11-23T01:58:27.1757704Z [       OK ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor (7 ms)
2022-11-23T01:58:27.1758585Z [ RUN      ] InferenceModeTest.TestComplexViewInInferenceMode
2022-11-23T01:58:27.1759168Z [       OK ] InferenceModeTest.TestComplexViewInInferenceMode (0 ms)
2022-11-23T01:58:27.1759790Z [ RUN      ] InferenceModeTest.TestComplexViewInNormalMode
2022-11-23T01:58:27.1760407Z [       OK ] InferenceModeTest.TestComplexViewInNormalMode (0 ms)
2022-11-23T01:58:27.1760799Z [ RUN      ] InferenceModeTest.TestCustomFunction
2022-11-23T01:58:27.1761148Z [       OK ] InferenceModeTest.TestCustomFunction (0 ms)
2022-11-23T01:58:27.1761589Z [ RUN      ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning
2022-11-23T01:58:27.1762098Z [       OK ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning (0 ms)
2022-11-23T01:58:27.1762520Z [----------] 28 tests from InferenceModeTest (69 ms total)
2022-11-23T01:58:27.1762686Z 
2022-11-23T01:58:27.1762894Z [----------] 4 tests from GradModeTest
2022-11-23T01:58:27.1763226Z [ RUN      ] GradModeTest.TestRequiresGradFunctionalOp
2022-11-23T01:58:27.1763635Z [       OK ] GradModeTest.TestRequiresGradFunctionalOp (0 ms)
2022-11-23T01:58:27.1764000Z [ RUN      ] GradModeTest.TestRequiresGradInplaceOp
2022-11-23T01:58:27.1764378Z [       OK ] GradModeTest.TestRequiresGradInplaceOp (0 ms)
2022-11-23T01:58:27.1764737Z [ RUN      ] GradModeTest.TestRequiresGradViewOp
2022-11-23T01:58:27.1765082Z [       OK ] GradModeTest.TestRequiresGradViewOp (0 ms)
2022-11-23T01:58:27.1765458Z [ RUN      ] GradModeTest.TestRequiresGradViewOpExiting
2022-11-23T01:58:27.1792183Z [       OK ] GradModeTest.TestRequiresGradViewOpExiting (3 ms)
2022-11-23T01:58:27.1792813Z [----------] 4 tests from GradModeTest (3 ms total)
2022-11-23T01:58:27.1792960Z 
2022-11-23T01:58:27.1793114Z [----------] 3 tests from OperationTest
2022-11-23T01:58:27.1793389Z [ RUN      ] OperationTest.Lerp
2022-11-23T01:58:27.1800269Z [       OK ] OperationTest.Lerp (0 ms)
2022-11-23T01:58:27.1800764Z [ RUN      ] OperationTest.Cross
2022-11-23T01:58:27.1830960Z [       OK ] OperationTest.Cross (3 ms)
2022-11-23T01:58:27.1831494Z [ RUN      ] OperationTest.Linear_out
2022-11-23T01:58:27.1833627Z [       OK ] OperationTest.Linear_out (0 ms)
2022-11-23T01:58:27.1834196Z [----------] 3 tests from OperationTest (4 ms total)
2022-11-23T01:58:27.1834520Z 
2022-11-23T01:58:27.1834694Z [----------] Global test environment tear-down
2022-11-23T01:58:27.1933779Z [==========] 992 tests from 48 test suites ran. (42657 ms total)
2022-11-23T01:58:27.1934241Z [  PASSED  ] 992 tests.
2022-11-23T01:58:27.2790025Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_tensorexpr --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml
2022-11-23T01:58:27.6590307Z CUDA not available. Disabling CUDA and MultiCUDA tests
2022-11-23T01:58:27.6596161Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2022-11-23T01:58:27.6596653Z [==========] Running 801 tests from 25 test suites.
2022-11-23T01:58:27.6597157Z [----------] Global test environment set-up.
2022-11-23T01:58:27.6597584Z [----------] 1 test from Approx
2022-11-23T01:58:27.6597838Z [ RUN      ] Approx.log_vml
2022-11-23T01:58:28.9251501Z [       OK ] Approx.log_vml (1265 ms)
2022-11-23T01:58:28.9251847Z [----------] 1 test from Approx (1265 ms total)
2022-11-23T01:58:28.9251996Z 
2022-11-23T01:58:28.9252138Z [----------] 34 tests from ATen
2022-11-23T01:58:28.9252376Z [ RUN      ] ATen._cast_Float
2022-11-23T01:58:28.9262432Z [       OK ] ATen._cast_Float (1 ms)
2022-11-23T01:58:28.9262887Z [ RUN      ] ATen.negInt
2022-11-23T01:58:28.9266689Z [       OK ] ATen.negInt (0 ms)
2022-11-23T01:58:28.9267140Z [ RUN      ] ATen.negFloat
2022-11-23T01:58:28.9271341Z [       OK ] ATen.negFloat (0 ms)
2022-11-23T01:58:28.9271788Z [ RUN      ] ATen.addInt
2022-11-23T01:58:28.9278917Z [       OK ] ATen.addInt (0 ms)
2022-11-23T01:58:28.9279369Z [ RUN      ] ATen.addFloat
2022-11-23T01:58:28.9286686Z [       OK ] ATen.addFloat (0 ms)
2022-11-23T01:58:28.9287138Z [ RUN      ] ATen.subInt
2022-11-23T01:58:28.9293783Z [       OK ] ATen.subInt (0 ms)
2022-11-23T01:58:28.9294227Z [ RUN      ] ATen.subFloat
2022-11-23T01:58:28.9301468Z [       OK ] ATen.subFloat (0 ms)
2022-11-23T01:58:28.9301893Z [ RUN      ] ATen.lerp
2022-11-23T01:58:28.9310523Z [       OK ] ATen.lerp (0 ms)
2022-11-23T01:58:28.9310973Z [ RUN      ] ATen.addcmulInt
2022-11-23T01:58:28.9319680Z [       OK ] ATen.addcmulInt (0 ms)
2022-11-23T01:58:28.9320141Z [ RUN      ] ATen.addcmulFloat
2022-11-23T01:58:28.9328944Z [       OK ] ATen.addcmulFloat (0 ms)
2022-11-23T01:58:28.9329401Z [ RUN      ] ATen.mulInt
2022-11-23T01:58:28.9334404Z [       OK ] ATen.mulInt (0 ms)
2022-11-23T01:58:28.9334827Z [ RUN      ] ATen.mulFloat
2022-11-23T01:58:28.9340183Z [       OK ] ATen.mulFloat (0 ms)
2022-11-23T01:58:28.9340631Z [ RUN      ] ATen.divInt
2022-11-23T01:58:28.9345616Z [       OK ] ATen.divInt (0 ms)
2022-11-23T01:58:28.9346054Z [ RUN      ] ATen.divFloat
2022-11-23T01:58:28.9351169Z [       OK ] ATen.divFloat (0 ms)
2022-11-23T01:58:28.9351597Z [ RUN      ] ATen.maxInt
2022-11-23T01:58:28.9356692Z [       OK ] ATen.maxInt (0 ms)
2022-11-23T01:58:28.9357132Z [ RUN      ] ATen.maxFloat
2022-11-23T01:58:28.9362216Z [       OK ] ATen.maxFloat (0 ms)
2022-11-23T01:58:28.9362638Z [ RUN      ] ATen.minInt
2022-11-23T01:58:28.9367708Z [       OK ] ATen.minInt (0 ms)
2022-11-23T01:58:28.9368152Z [ RUN      ] ATen.minFloat
2022-11-23T01:58:28.9373261Z [       OK ] ATen.minFloat (0 ms)
2022-11-23T01:58:28.9373701Z [ RUN      ] ATen.reluInt
2022-11-23T01:58:28.9377831Z [       OK ] ATen.reluInt (0 ms)
2022-11-23T01:58:28.9378265Z [ RUN      ] ATen.reluFloat
2022-11-23T01:58:28.9382306Z [       OK ] ATen.reluFloat (0 ms)
2022-11-23T01:58:28.9382757Z [ RUN      ] ATen.logFloat
2022-11-23T01:58:28.9386979Z [       OK ] ATen.logFloat (0 ms)
2022-11-23T01:58:28.9387363Z [ RUN      ] ATen.fastLogFloat
2022-11-23T01:58:28.9551595Z [       OK ] ATen.fastLogFloat (16 ms)
2022-11-23T01:58:28.9552083Z [ RUN      ] ATen.fastTanhFloat
2022-11-23T01:58:28.9611607Z [       OK ] ATen.fastTanhFloat (6 ms)
2022-11-23T01:58:28.9612101Z [ RUN      ] ATen.fastSigmoidFloat
2022-11-23T01:58:28.9690882Z [       OK ] ATen.fastSigmoidFloat (7 ms)
2022-11-23T01:58:28.9691391Z [ RUN      ] ATen.log10Float
2022-11-23T01:58:28.9695109Z [       OK ] ATen.log10Float (0 ms)
2022-11-23T01:58:28.9695566Z [ RUN      ] ATen.log2Float
2022-11-23T01:58:28.9699680Z [       OK ] ATen.log2Float (0 ms)
2022-11-23T01:58:28.9700118Z [ RUN      ] ATen.expFloat
2022-11-23T01:58:28.9704009Z [       OK ] ATen.expFloat (0 ms)
2022-11-23T01:58:28.9704458Z [ RUN      ] ATen.erfFloat
2022-11-23T01:58:28.9708302Z [       OK ] ATen.erfFloat (0 ms)
2022-11-23T01:58:28.9708729Z [ RUN      ] ATen.cosFloat
2022-11-23T01:58:28.9712785Z [       OK ] ATen.cosFloat (0 ms)
2022-11-23T01:58:28.9713219Z [ RUN      ] ATen.eqInt
2022-11-23T01:58:28.9718735Z [       OK ] ATen.eqInt (0 ms)
2022-11-23T01:58:28.9719162Z [ RUN      ] ATen.geInt
2022-11-23T01:58:28.9724858Z [       OK ] ATen.geInt (0 ms)
2022-11-23T01:58:28.9725268Z [ RUN      ] ATen.gtInt
2022-11-23T01:58:28.9730960Z [       OK ] ATen.gtInt (0 ms)
2022-11-23T01:58:28.9731391Z [ RUN      ] ATen.leInt
2022-11-23T01:58:28.9737108Z [       OK ] ATen.leInt (0 ms)
2022-11-23T01:58:28.9737516Z [ RUN      ] ATen.ltInt
2022-11-23T01:58:28.9743011Z [       OK ] ATen.ltInt (0 ms)
2022-11-23T01:58:28.9743654Z [----------] 34 tests from ATen (49 ms total)
2022-11-23T01:58:28.9743907Z 
2022-11-23T01:58:28.9744195Z [----------] 26 tests from BoundsInference
2022-11-23T01:58:28.9744640Z [ RUN      ] BoundsInference._1
2022-11-23T01:58:28.9746240Z [       OK ] BoundsInference._1 (0 ms)
2022-11-23T01:58:28.9746721Z [ RUN      ] BoundsInference._2
2022-11-23T01:58:28.9749939Z [       OK ] BoundsInference._2 (0 ms)
2022-11-23T01:58:28.9750418Z [ RUN      ] BoundsInference._3
2022-11-23T01:58:28.9753436Z [       OK ] BoundsInference._3 (0 ms)
2022-11-23T01:58:28.9753918Z [ RUN      ] BoundsInference._4
2022-11-23T01:58:28.9759870Z [       OK ] BoundsInference._4 (0 ms)
2022-11-23T01:58:28.9760371Z [ RUN      ] BoundsInference._5
2022-11-23T01:58:28.9774518Z [       OK ] BoundsInference._5 (1 ms)
2022-11-23T01:58:28.9774998Z [ RUN      ] BoundsInference._6
2022-11-23T01:58:28.9784959Z [       OK ] BoundsInference._6 (1 ms)
2022-11-23T01:58:28.9785485Z [ RUN      ] BoundsInference.Adjacent
2022-11-23T01:58:28.9791563Z [       OK ] BoundsInference.Adjacent (0 ms)
2022-11-23T01:58:28.9792164Z [ RUN      ] BoundsInference.MultipleTopLoopLoad
2022-11-23T01:58:28.9797861Z [       OK ] BoundsInference.MultipleTopLoopLoad (0 ms)
2022-11-23T01:58:28.9798542Z [ RUN      ] BoundsInference.MultipleTopLoopStore
2022-11-23T01:58:28.9803737Z [       OK ] BoundsInference.MultipleTopLoopStore (0 ms)
2022-11-23T01:58:28.9804335Z [ RUN      ] BoundsInference.CacheReads
2022-11-23T01:58:28.9832774Z [       OK ] BoundsInference.CacheReads (2 ms)
2022-11-23T01:58:28.9833335Z [ RUN      ] BoundsInference.Flattened
2022-11-23T01:58:28.9846954Z [       OK ] BoundsInference.Flattened (1 ms)
2022-11-23T01:58:28.9847568Z [ RUN      ] BoundsInference.GetPotentialHazards
2022-11-23T01:58:28.9848341Z [       OK ] BoundsInference.GetPotentialHazards (0 ms)
2022-11-23T01:58:28.9849051Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopNoHazard
2022-11-23T01:58:28.9853435Z [       OK ] BoundsInference.GetPotentialHazardsLoopNoHazard (0 ms)
2022-11-23T01:58:28.9854209Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopCall
2022-11-23T01:58:28.9859191Z [       OK ] BoundsInference.GetPotentialHazardsLoopCall (0 ms)
2022-11-23T01:58:28.9859966Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopSplit
2022-11-23T01:58:28.9872320Z [       OK ] BoundsInference.GetPotentialHazardsLoopSplit (1 ms)
2022-11-23T01:58:28.9873254Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap
2022-11-23T01:58:28.9878671Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap (0 ms)
2022-11-23T01:58:28.9879657Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap
2022-11-23T01:58:28.9880767Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap (0 ms)
2022-11-23T01:58:28.9881775Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW
2022-11-23T01:58:28.9884156Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW (0 ms)
2022-11-23T01:58:28.9885150Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping
2022-11-23T01:58:28.9888538Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping (0 ms)
2022-11-23T01:58:28.9889475Z [ RUN      ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap
2022-11-23T01:58:28.9904484Z [       OK ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap (1 ms)
2022-11-23T01:58:28.9905422Z [ RUN      ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap
2022-11-23T01:58:28.9915827Z [       OK ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap (1 ms)
2022-11-23T01:58:28.9916742Z [ RUN      ] BoundsInference.HasConflictingOverlapDifferentBuffers
2022-11-23T01:58:28.9919664Z [       OK ] BoundsInference.HasConflictingOverlapDifferentBuffers (0 ms)
2022-11-23T01:58:28.9920544Z [ RUN      ] BoundsInference.HasConflictingOverlapDueToRAWDependence
2022-11-23T01:58:28.9923626Z [       OK ] BoundsInference.HasConflictingOverlapDueToRAWDependence (0 ms)
2022-11-23T01:58:28.9924515Z [ RUN      ] BoundsInference.HasConflictingOverlapDueToWARDependence
2022-11-23T01:58:28.9927285Z [       OK ] BoundsInference.HasConflictingOverlapDueToWARDependence (0 ms)
2022-11-23T01:58:28.9928237Z [ RUN      ] BoundsInference.HasConflictingOverlapWithLoads
2022-11-23T01:58:28.9931083Z [       OK ] BoundsInference.HasConflictingOverlapWithLoads (0 ms)
2022-11-23T01:58:28.9931761Z [ RUN      ] BoundsInference.IsOverlapping
2022-11-23T01:58:28.9955429Z [       OK ] BoundsInference.IsOverlapping (2 ms)
2022-11-23T01:58:28.9956060Z [----------] 26 tests from BoundsInference (21 ms total)
2022-11-23T01:58:28.9956309Z 
2022-11-23T01:58:28.9956532Z [----------] 4 tests from Conv
2022-11-23T01:58:28.9956978Z [ RUN      ] Conv.DepthwiseConv2D
2022-11-23T01:58:29.2586502Z [       OK ] Conv.DepthwiseConv2D (262 ms)
2022-11-23T01:58:29.2586947Z [ RUN      ] Conv.DepthwiseConv2DNoBias
2022-11-23T01:58:29.5159207Z [       OK ] Conv.DepthwiseConv2DNoBias (257 ms)
2022-11-23T01:58:29.5159703Z [ RUN      ] Conv.DepthwiseConv2DDynamicShapes
2022-11-23T01:58:29.7142292Z [       OK ] Conv.DepthwiseConv2DDynamicShapes (198 ms)
2022-11-23T01:58:29.7142706Z [ RUN      ] Conv.Conv2D
2022-11-23T01:58:30.7014445Z [       OK ] Conv.Conv2D (987 ms)
2022-11-23T01:58:30.7014877Z [----------] 4 tests from Conv (1705 ms total)
2022-11-23T01:58:30.7015109Z 
2022-11-23T01:58:30.7015364Z [----------] 28 tests from CppPrinter
2022-11-23T01:58:30.7015796Z [ RUN      ] CppPrinter.IntImm
2022-11-23T01:58:30.7016211Z [       OK ] CppPrinter.IntImm (0 ms)
2022-11-23T01:58:30.7016916Z [ RUN      ] CppPrinter.FloatImm
2022-11-23T01:58:30.7017258Z [       OK ] CppPrinter.FloatImm (0 ms)
2022-11-23T01:58:30.7017653Z [ RUN      ] CppPrinter.FloatImm1
2022-11-23T01:58:30.7018234Z [       OK ] CppPrinter.FloatImm1 (0 ms)
2022-11-23T01:58:30.7018705Z [ RUN      ] CppPrinter.DoubleImm
2022-11-23T01:58:30.7019181Z [       OK ] CppPrinter.DoubleImm (0 ms)
2022-11-23T01:58:30.7019680Z [ RUN      ] CppPrinter.DoubleImm1
2022-11-23T01:58:30.7020182Z [       OK ] CppPrinter.DoubleImm1 (0 ms)
2022-11-23T01:58:30.7020636Z [ RUN      ] CppPrinter.HalfImm
2022-11-23T01:58:30.7021105Z [       OK ] CppPrinter.HalfImm (0 ms)
2022-11-23T01:58:30.7021524Z [ RUN      ] CppPrinter.Add
2022-11-23T01:58:30.7021985Z [       OK ] CppPrinter.Add (0 ms)
2022-11-23T01:58:30.7022458Z [ RUN      ] CppPrinter.AddExpr1
2022-11-23T01:58:30.7022913Z [       OK ] CppPrinter.AddExpr1 (0 ms)
2022-11-23T01:58:30.7023425Z [ RUN      ] CppPrinter.AddExpr2
2022-11-23T01:58:30.7023824Z [       OK ] CppPrinter.AddExpr2 (0 ms)
2022-11-23T01:58:30.7024084Z [ RUN      ] CppPrinter.AddExpr3
2022-11-23T01:58:30.7024357Z [       OK ] CppPrinter.AddExpr3 (0 ms)
2022-11-23T01:58:30.7024620Z [ RUN      ] CppPrinter.Mod
2022-11-23T01:58:30.7024864Z [       OK ] CppPrinter.Mod (0 ms)
2022-11-23T01:58:30.7025149Z [ RUN      ] CppPrinter.ModFloat
2022-11-23T01:58:30.7025421Z [       OK ] CppPrinter.ModFloat (0 ms)
2022-11-23T01:58:30.7025679Z [ RUN      ] CppPrinter.Max
2022-11-23T01:58:30.7025923Z [       OK ] CppPrinter.Max (0 ms)
2022-11-23T01:58:30.7026185Z [ RUN      ] CppPrinter.MaxFloat
2022-11-23T01:58:30.7026651Z [       OK ] CppPrinter.MaxFloat (0 ms)
2022-11-23T01:58:30.7026910Z [ RUN      ] CppPrinter.MaxHalf
2022-11-23T01:58:30.7027183Z [       OK ] CppPrinter.MaxHalf (0 ms)
2022-11-23T01:58:30.7027445Z [ RUN      ] CppPrinter.And
2022-11-23T01:58:30.7027690Z [       OK ] CppPrinter.And (0 ms)
2022-11-23T01:58:30.7027968Z [ RUN      ] CppPrinter.CompareSelect
2022-11-23T01:58:30.7028274Z [       OK ] CppPrinter.CompareSelect (0 ms)
2022-11-23T01:58:30.7028564Z [ RUN      ] CppPrinter.IfThenElse
2022-11-23T01:58:30.7028836Z [       OK ] CppPrinter.IfThenElse (0 ms)
2022-11-23T01:58:30.7029182Z [ RUN      ] CppPrinter.AllocateFree
2022-11-23T01:58:30.7029477Z [       OK ] CppPrinter.AllocateFree (0 ms)
2022-11-23T01:58:30.7029749Z [ RUN      ] CppPrinter.LoadStore
2022-11-23T01:58:30.7030031Z [       OK ] CppPrinter.LoadStore (0 ms)
2022-11-23T01:58:30.7030295Z [ RUN      ] CppPrinter.Var
2022-11-23T01:58:30.7030540Z [       OK ] CppPrinter.Var (0 ms)
2022-11-23T01:58:30.7030790Z [ RUN      ] CppPrinter.Cast
2022-11-23T01:58:30.7031049Z [       OK ] CppPrinter.Cast (0 ms)
2022-11-23T01:58:30.7031295Z [ RUN      ] CppPrinter.BitCast
2022-11-23T01:58:30.7031564Z [       OK ] CppPrinter.BitCast (0 ms)
2022-11-23T01:58:30.7031820Z [ RUN      ] CppPrinter.Let
2022-11-23T01:58:30.7032061Z [       OK ] CppPrinter.Let (0 ms)
2022-11-23T01:58:30.7032310Z [ RUN      ] CppPrinter.For
2022-11-23T01:58:30.7032565Z [       OK ] CppPrinter.For (0 ms)
2022-11-23T01:58:30.7032818Z [ RUN      ] CppPrinter.Cond
2022-11-23T01:58:30.7033065Z [       OK ] CppPrinter.Cond (0 ms)
2022-11-23T01:58:30.7033331Z [ RUN      ] CppPrinter.Intrinsics
2022-11-23T01:58:30.7033616Z [       OK ] CppPrinter.Intrinsics (0 ms)
2022-11-23T01:58:30.7033890Z [ RUN      ] CppPrinter.ExternalCall
2022-11-23T01:58:30.7034184Z [       OK ] CppPrinter.ExternalCall (0 ms)
2022-11-23T01:58:30.7034594Z [----------] 28 tests from CppPrinter (0 ms total)
2022-11-23T01:58:30.7034749Z 
2022-11-23T01:58:30.7034886Z [----------] 8 tests from DynamicShapes
2022-11-23T01:58:30.7035178Z [ RUN      ] DynamicShapes.SimpleGraph
2022-11-23T01:58:30.7878778Z [       OK ] DynamicShapes.SimpleGraph (85 ms)
2022-11-23T01:58:30.7879154Z [ RUN      ] DynamicShapes.GraphWith2InputsSameDims
2022-11-23T01:58:30.8624737Z [       OK ] DynamicShapes.GraphWith2InputsSameDims (74 ms)
2022-11-23T01:58:30.8625145Z [ RUN      ] DynamicShapes.GraphWith2InputsAndBroadcast
2022-11-23T01:58:30.9341477Z [       OK ] DynamicShapes.GraphWith2InputsAndBroadcast (71 ms)
2022-11-23T01:58:30.9342296Z [ RUN      ] DynamicShapes.GraphWithPartiallySymbolicOutput
2022-11-23T01:58:30.9739482Z [       OK ] DynamicShapes.GraphWithPartiallySymbolicOutput (39 ms)
2022-11-23T01:58:30.9740374Z [ RUN      ] DynamicShapes.GraphWithSymbolicStrides
2022-11-23T01:58:31.1413735Z [       OK ] DynamicShapes.GraphWithSymbolicStrides (167 ms)
2022-11-23T01:58:31.1414465Z [ RUN      ] DynamicShapes.GraphWithCatAndBroadcast
2022-11-23T01:58:31.5841095Z [       OK ] DynamicShapes.GraphWithCatAndBroadcast (442 ms)
2022-11-23T01:58:31.5841697Z [ RUN      ] DynamicShapes.GraphFromModel
2022-11-23T01:58:31.9641764Z [       OK ] DynamicShapes.GraphFromModel (380 ms)
2022-11-23T01:58:31.9642440Z [ RUN      ] DynamicShapes.MultiThreadedExecution
2022-11-23T01:58:32.0398636Z [       OK ] DynamicShapes.MultiThreadedExecution (75 ms)
2022-11-23T01:58:32.0399306Z [----------] 8 tests from DynamicShapes (1337 ms total)
2022-11-23T01:58:32.0399591Z 
2022-11-23T01:58:32.0399860Z [----------] 30 tests from Expr
2022-11-23T01:58:32.0400595Z [ RUN      ] Expr.BasicValueTest
2022-11-23T01:58:32.0401083Z [       OK ] Expr.BasicValueTest (0 ms)
2022-11-23T01:58:32.0401402Z [ RUN      ] Expr.BasicValueTest02
2022-11-23T01:58:32.0401692Z [       OK ] Expr.BasicValueTest02 (0 ms)
2022-11-23T01:58:32.0401982Z [ RUN      ] Expr.IsChannelsLastContiguous
2022-11-23T01:58:32.0402308Z [       OK ] Expr.IsChannelsLastContiguous (0 ms)
2022-11-23T01:58:32.0402589Z [ RUN      ] Expr.LetTest01
2022-11-23T01:58:32.0402845Z [       OK ] Expr.LetTest01 (0 ms)
2022-11-23T01:58:32.0403082Z [ RUN      ] Expr.LetTest02
2022-11-23T01:58:32.0403403Z [       OK ] Expr.LetTest02 (0 ms)
2022-11-23T01:58:32.0403661Z [ RUN      ] Expr.LetStmtTest01
2022-11-23T01:58:32.0406049Z [       OK ] Expr.LetStmtTest01 (0 ms)
2022-11-23T01:58:32.0406497Z [ RUN      ] Expr.IntTest
2022-11-23T01:58:32.0406950Z [       OK ] Expr.IntTest (0 ms)
2022-11-23T01:58:32.0407394Z [ RUN      ] Expr.FloatTest
2022-11-23T01:58:32.0407868Z [       OK ] Expr.FloatTest (0 ms)
2022-11-23T01:58:32.0408321Z [ RUN      ] Expr.ByteTest
2022-11-23T01:58:32.0408720Z [       OK ] Expr.ByteTest (0 ms)
2022-11-23T01:58:32.0409140Z [ RUN      ] Expr.CharTest
2022-11-23T01:58:32.0409598Z [       OK ] Expr.CharTest (0 ms)
2022-11-23T01:58:32.0410043Z [ RUN      ] Expr.ShortTest
2022-11-23T01:58:32.0410487Z [       OK ] Expr.ShortTest (0 ms)
2022-11-23T01:58:32.0410943Z [ RUN      ] Expr.LongTest
2022-11-23T01:58:32.0411392Z [       OK ] Expr.LongTest (0 ms)
2022-11-23T01:58:32.0411834Z [ RUN      ] Expr.HalfTest
2022-11-23T01:58:32.0412226Z [       OK ] Expr.HalfTest (0 ms)
2022-11-23T01:58:32.0412477Z [ RUN      ] Expr.DoubleTest
2022-11-23T01:58:32.0412724Z [       OK ] Expr.DoubleTest (0 ms)
2022-11-23T01:58:32.0412981Z [ RUN      ] Expr.VectorAdd01
2022-11-23T01:58:32.0422793Z [       OK ] Expr.VectorAdd01 (1 ms)
2022-11-23T01:58:32.0423271Z [ RUN      ] Expr.CompareSelectEQ
2022-11-23T01:58:32.0461075Z [       OK ] Expr.CompareSelectEQ (3 ms)
2022-11-23T01:58:32.0461612Z [ RUN      ] Expr.CompareSelectDtypes
2022-11-23T01:58:32.0499565Z [       OK ] Expr.CompareSelectDtypes (3 ms)
2022-11-23T01:58:32.0500089Z [ RUN      ] Expr.IntrinsicsDtypes
2022-11-23T01:58:32.0506148Z [       OK ] Expr.IntrinsicsDtypes (0 ms)
2022-11-23T01:58:32.0506451Z [ RUN      ] Expr.Substitute01
2022-11-23T01:58:32.0506889Z [       OK ] Expr.Substitute01 (0 ms)
2022-11-23T01:58:32.0507355Z [ RUN      ] Expr.Math01
2022-11-23T01:58:32.0507657Z [       OK ] Expr.Math01 (0 ms)
2022-11-23T01:58:32.0507948Z [ RUN      ] Expr.UnaryMath01
2022-11-23T01:58:32.0508839Z [       OK ] Expr.UnaryMath01 (0 ms)
2022-11-23T01:58:32.0509306Z [ RUN      ] Expr.BinaryMath01
2022-11-23T01:58:32.0509734Z [       OK ] Expr.BinaryMath01 (0 ms)
2022-11-23T01:58:32.0510015Z [ RUN      ] Expr.LogicalOps01
2022-11-23T01:58:32.0510565Z [       OK ] Expr.LogicalOps01 (0 ms)
2022-11-23T01:58:32.0511033Z [ RUN      ] Expr.LogicalOps02
2022-11-23T01:58:32.0511488Z [       OK ] Expr.LogicalOps02 (0 ms)
2022-11-23T01:58:32.0511750Z [ RUN      ] Expr.LogicalOps03
2022-11-23T01:58:32.0512633Z [       OK ] Expr.LogicalOps03 (0 ms)
2022-11-23T01:58:32.0513105Z [ RUN      ] Expr.BitwiseOps
2022-11-23T01:58:32.0513479Z [       OK ] Expr.BitwiseOps (0 ms)
2022-11-23T01:58:32.0513750Z [ RUN      ] Expr.DynamicShapeAdd
2022-11-23T01:58:32.0515454Z [       OK ] Expr.DynamicShapeAdd (0 ms)
2022-11-23T01:58:32.0515914Z [ RUN      ] Expr.OutOfBounds
2022-11-23T01:58:32.0537884Z [       OK ] Expr.OutOfBounds (2 ms)
2022-11-23T01:58:32.0538524Z [ RUN      ] Expr.OutOfBounds2d
2022-11-23T01:58:32.0546073Z [       OK ] Expr.OutOfBounds2d (0 ms)
2022-11-23T01:58:32.0546622Z [ RUN      ] Expr.OutOfBounds2dFlattenedIndex
2022-11-23T01:58:32.0551017Z [       OK ] Expr.OutOfBounds2dFlattenedIndex (0 ms)
2022-11-23T01:58:32.0551613Z [----------] 30 tests from Expr (15 ms total)
2022-11-23T01:58:32.0551767Z 
2022-11-23T01:58:32.0551906Z [----------] 16 tests from ExternalCall
2022-11-23T01:58:32.0552193Z [ RUN      ] ExternalCall.Conv1d_float
2022-11-23T01:58:32.0831541Z [       OK ] ExternalCall.Conv1d_float (27 ms)
2022-11-23T01:58:32.0832114Z [ RUN      ] ExternalCall.Conv1d_int
2022-11-23T01:58:32.1126313Z [       OK ] ExternalCall.Conv1d_int (29 ms)
2022-11-23T01:58:32.1126782Z [ RUN      ] ExternalCall.Conv1d_nobias_noargs
2022-11-23T01:58:32.1374368Z [       OK ] ExternalCall.Conv1d_nobias_noargs (24 ms)
2022-11-23T01:58:32.1374890Z [ RUN      ] ExternalCall.Conv2d_float
2022-11-23T01:58:32.1706633Z [       OK ] ExternalCall.Conv2d_float (33 ms)
2022-11-23T01:58:32.1707162Z [ RUN      ] ExternalCall.Conv2d_int
2022-11-23T01:58:32.2105266Z [       OK ] ExternalCall.Conv2d_int (39 ms)
2022-11-23T01:58:32.2105883Z [ RUN      ] ExternalCall.Conv2d_nobias_noargs
2022-11-23T01:58:32.2399001Z [       OK ] ExternalCall.Conv2d_nobias_noargs (29 ms)
2022-11-23T01:58:32.2399947Z [ RUN      ] ExternalCall.Addmm_float
2022-11-23T01:58:32.2669357Z [       OK ] ExternalCall.Addmm_float (26 ms)
2022-11-23T01:58:32.2669895Z [ RUN      ] ExternalCall.Embedding
2022-11-23T01:58:32.2926067Z [       OK ] ExternalCall.Embedding (25 ms)
2022-11-23T01:58:32.2926515Z [ RUN      ] ExternalCall.MaxReduction
2022-11-23T01:58:32.3164365Z [       OK ] ExternalCall.MaxReduction (23 ms)
2022-11-23T01:58:32.3165026Z [ RUN      ] ExternalCall.Prepacked_Linear_float
2022-11-23T01:58:32.3440458Z [       OK ] ExternalCall.Prepacked_Linear_float (27 ms)
2022-11-23T01:58:32.3440927Z [ RUN      ] ExternalCall.Prepacked_Conv2d_float
2022-11-23T01:58:32.3935142Z [       OK ] ExternalCall.Prepacked_Conv2d_float (49 ms)
2022-11-23T01:58:32.3935588Z [ RUN      ] ExternalCall.BinaryFloat
2022-11-23T01:58:32.4705866Z [       OK ] ExternalCall.BinaryFloat (77 ms)
2022-11-23T01:58:32.4706430Z [ RUN      ] ExternalCall.UnaryFloat
2022-11-23T01:58:32.5180182Z [       OK ] ExternalCall.UnaryFloat (47 ms)
2022-11-23T01:58:32.5180562Z [ RUN      ] ExternalCall.ComputeInterop
2022-11-23T01:58:33.6266189Z [       OK ] ExternalCall.ComputeInterop (1108 ms)
2022-11-23T01:58:33.6266542Z [ RUN      ] ExternalCall.Inlining
2022-11-23T01:58:33.7007866Z [       OK ] ExternalCall.Inlining (74 ms)
2022-11-23T01:58:33.7008205Z [ RUN      ] ExternalCall.JitCustomFusionOp
2022-11-23T01:58:33.8245246Z [       OK ] ExternalCall.JitCustomFusionOp (123 ms)
2022-11-23T01:58:33.8245883Z [----------] 16 tests from ExternalCall (1769 ms total)
2022-11-23T01:58:33.8246073Z 
2022-11-23T01:58:33.8246220Z [----------] 8 tests from GraphOpt
2022-11-23T01:58:33.8246491Z [ RUN      ] GraphOpt.OptimizeCat
2022-11-23T01:58:33.8580759Z [       OK ] GraphOpt.OptimizeCat (33 ms)
2022-11-23T01:58:33.8581130Z [ RUN      ] GraphOpt.OptimizeCat2
2022-11-23T01:58:33.8941202Z [       OK ] GraphOpt.OptimizeCat2 (35 ms)
2022-11-23T01:58:33.8941530Z [ RUN      ] GraphOpt.OptimizeCat3
2022-11-23T01:58:33.9364620Z [       OK ] GraphOpt.OptimizeCat3 (42 ms)
2022-11-23T01:58:33.9364994Z [ RUN      ] GraphOpt.OptimizeCatWithTypePromotionInUser
2022-11-23T01:58:33.9695877Z [       OK ] GraphOpt.OptimizeCatWithTypePromotionInUser (33 ms)
2022-11-23T01:58:33.9696666Z [ RUN      ] GraphOpt.OptimizeCatWithTypePromotionInCat
2022-11-23T01:58:34.0319798Z [       OK ] GraphOpt.OptimizeCatWithTypePromotionInCat (62 ms)
2022-11-23T01:58:34.0320227Z [ RUN      ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp
2022-11-23T01:58:34.0708717Z [       OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp (38 ms)
2022-11-23T01:58:34.0709146Z [ RUN      ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2
2022-11-23T01:58:34.1120123Z [       OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2 (41 ms)
2022-11-23T01:58:34.1120829Z [ RUN      ] GraphOpt.AOTGraphPrepPasses
2022-11-23T01:58:34.1121479Z [       OK ] GraphOpt.AOTGraphPrepPasses (0 ms)
2022-11-23T01:58:34.1121797Z [----------] 8 tests from GraphOpt (287 ms total)
2022-11-23T01:58:34.1121949Z 
2022-11-23T01:58:34.1122093Z [----------] 4 tests from IRPrinter
2022-11-23T01:58:34.1122371Z [ RUN      ] IRPrinter.BasicValueTest
2022-11-23T01:58:34.1122660Z [       OK ] IRPrinter.BasicValueTest (0 ms)
2022-11-23T01:58:34.1122967Z [ RUN      ] IRPrinter.BasicValueTest02
2022-11-23T01:58:34.1123340Z [       OK ] IRPrinter.BasicValueTest02 (0 ms)
2022-11-23T01:58:34.1123692Z [ RUN      ] IRPrinter.CastTest
2022-11-23T01:58:34.1124004Z [       OK ] IRPrinter.CastTest (0 ms)
2022-11-23T01:58:34.1124367Z [ RUN      ] IRPrinter.FunctionName
2022-11-23T01:58:34.1124824Z [       OK ] IRPrinter.FunctionName (0 ms)
2022-11-23T01:58:34.1125298Z [----------] 4 tests from IRPrinter (0 ms total)
2022-11-23T01:58:34.1125519Z 
2022-11-23T01:58:34.1125763Z [----------] 8 tests from IRVerifier
2022-11-23T01:58:34.1126263Z [ RUN      ] IRVerifier.BitwiseOps
2022-11-23T01:58:34.1126713Z [       OK ] IRVerifier.BitwiseOps (0 ms)
2022-11-23T01:58:34.1127187Z [ RUN      ] IRVerifier.CompareSelect
2022-11-23T01:58:34.1127695Z [       OK ] IRVerifier.CompareSelect (0 ms)
2022-11-23T01:58:34.1128184Z [ RUN      ] IRVerifier.Ramp
2022-11-23T01:58:34.1128550Z [       OK ] IRVerifier.Ramp (0 ms)
2022-11-23T01:58:34.1128847Z [ RUN      ] IRVerifier.Load
2022-11-23T01:58:34.1129133Z [       OK ] IRVerifier.Load (0 ms)
2022-11-23T01:58:34.1129388Z [ RUN      ] IRVerifier.IfThenElse
2022-11-23T01:58:34.1129731Z [       OK ] IRVerifier.IfThenElse (0 ms)
2022-11-23T01:58:34.1129992Z [ RUN      ] IRVerifier.For
2022-11-23T01:58:34.1130292Z [       OK ] IRVerifier.For (0 ms)
2022-11-23T01:58:34.1130657Z [ RUN      ] IRVerifier.Block
2022-11-23T01:58:34.1131075Z [       OK ] IRVerifier.Block (0 ms)
2022-11-23T01:58:34.1131474Z [ RUN      ] IRVerifier.Store
2022-11-23T01:58:34.1131855Z [       OK ] IRVerifier.Store (0 ms)
2022-11-23T01:58:34.1132308Z [----------] 8 tests from IRVerifier (0 ms total)
2022-11-23T01:58:34.1132564Z 
2022-11-23T01:58:34.1132812Z [----------] 37 tests from Kernel
2022-11-23T01:58:34.1133303Z [ RUN      ] Kernel.ParallelExternalCallBuf
2022-11-23T01:58:34.1711125Z [       OK ] Kernel.ParallelExternalCallBuf (58 ms)
2022-11-23T01:58:34.1711784Z [ RUN      ] Kernel.InliningIntermediates
2022-11-23T01:58:34.2393984Z [       OK ] Kernel.InliningIntermediates (68 ms)
2022-11-23T01:58:34.2394802Z [ RUN      ] Kernel.PreAllocIntermediateBufs
2022-11-23T01:58:34.3518654Z [       OK ] Kernel.PreAllocIntermediateBufs (112 ms)
2022-11-23T01:58:34.3519218Z [ RUN      ] Kernel._1
2022-11-23T01:58:34.3820474Z [       OK ] Kernel._1 (30 ms)
2022-11-23T01:58:34.3820947Z [ RUN      ] Kernel._2
2022-11-23T01:58:34.4142359Z [       OK ] Kernel._2 (32 ms)
2022-11-23T01:58:34.4142838Z [ RUN      ] Kernel._3
2022-11-23T01:58:34.4463660Z [       OK ] Kernel._3 (32 ms)
2022-11-23T01:58:34.4464149Z [ RUN      ] Kernel.Huge
2022-11-23T01:58:34.4713651Z [       OK ] Kernel.Huge (24 ms)
2022-11-23T01:58:34.4714199Z [ RUN      ] Kernel.ParallelStrided
2022-11-23T01:58:34.5912460Z [       OK ] Kernel.ParallelStrided (119 ms)
2022-11-23T01:58:34.5913067Z [ RUN      ] Kernel.CatInputTypesPromotion
2022-11-23T01:58:34.6865302Z [       OK ] Kernel.CatInputTypesPromotion (95 ms)
2022-11-23T01:58:34.6865813Z [ RUN      ] Kernel.ToDType
2022-11-23T01:58:34.7147894Z [       OK ] Kernel.ToDType (28 ms)
2022-11-23T01:58:34.7148493Z [ RUN      ] Kernel.CatAndInlineWithAConstantDim
2022-11-23T01:58:34.7436180Z [       OK ] Kernel.CatAndInlineWithAConstantDim (28 ms)
2022-11-23T01:58:34.7436800Z [ RUN      ] Kernel.CatWithEmptyInputs
2022-11-23T01:58:34.8143465Z [       OK ] Kernel.CatWithEmptyInputs (70 ms)
2022-11-23T01:58:34.8144083Z [ RUN      ] Kernel.CatWoConditionals
2022-11-23T01:58:34.8885426Z [       OK ] Kernel.CatWoConditionals (74 ms)
2022-11-23T01:58:34.8886042Z [ RUN      ] Kernel.OptimizeConditionals
2022-11-23T01:58:34.9859651Z [       OK ] Kernel.OptimizeConditionals (97 ms)
2022-11-23T01:58:35.0360060Z [ RUN      ] Kernel.SumAllAxes
2022-11-23T01:58:35.0360603Z [       OK ] Kernel.SumAllAxes (50 ms)
2022-11-23T01:58:35.0361080Z [ RUN      ] Kernel.SumOneAxis
2022-11-23T01:58:35.4469207Z [       OK ] Kernel.SumOneAxis (410 ms)
2022-11-23T01:58:35.4469789Z [ RUN      ] Kernel.SumMultipleAxes
2022-11-23T01:58:35.8811817Z [       OK ] Kernel.SumMultipleAxes (434 ms)
2022-11-23T01:58:35.8812363Z [ RUN      ] Kernel.Softmax2D
2022-11-23T01:58:36.3293278Z [       OK ] Kernel.Softmax2D (448 ms)
2022-11-23T01:58:36.3293805Z [ RUN      ] Kernel.Softmax3D
2022-11-23T01:58:37.1999956Z [       OK ] Kernel.Softmax3D (870 ms)
2022-11-23T01:58:37.2000506Z [ RUN      ] Kernel.Softmax4D
2022-11-23T01:58:38.3346802Z [       OK ] Kernel.Softmax4D (1134 ms)
2022-11-23T01:58:38.3347372Z [ RUN      ] Kernel.SignTest
2022-11-23T01:58:38.4045385Z [       OK ] Kernel.SignTest (69 ms)
2022-11-23T01:58:38.4046031Z [ RUN      ] Kernel.InlineProducerIntoReduction
2022-11-23T01:58:38.4327523Z [       OK ] Kernel.InlineProducerIntoReduction (28 ms)
2022-11-23T01:58:38.4327971Z [ RUN      ] Kernel.InlineReductionIntoConsumer
2022-11-23T01:58:38.4674745Z [       OK ] Kernel.InlineReductionIntoConsumer (34 ms)
2022-11-23T01:58:38.4675087Z [ RUN      ] Kernel.ConstantTensors
2022-11-23T01:58:38.5070646Z [       OK ] Kernel.ConstantTensors (39 ms)
2022-11-23T01:58:38.5071042Z [ RUN      ] Kernel.ConstantTensorsNonContiguous
2022-11-23T01:58:38.5464552Z [       OK ] Kernel.ConstantTensorsNonContiguous (39 ms)
2022-11-23T01:58:38.5464866Z [ RUN      ] Kernel.RunFast
2022-11-23T01:58:38.5778307Z [       OK ] Kernel.RunFast (31 ms)
2022-11-23T01:58:38.5778622Z [ RUN      ] Kernel.RunWithAllocatedOutputs
2022-11-23T01:58:38.6091526Z [       OK ] Kernel.RunWithAllocatedOutputs (31 ms)
2022-11-23T01:58:38.6091847Z [ RUN      ] Kernel.CodegenInspection
2022-11-23T01:58:38.6487135Z [       OK ] Kernel.CodegenInspection (39 ms)
2022-11-23T01:58:38.6487446Z [ RUN      ] Kernel.CustomLowering
2022-11-23T01:58:38.6725879Z [       OK ] Kernel.CustomLowering (23 ms)
2022-11-23T01:58:38.6726298Z [ RUN      ] Kernel.Vectorize
2022-11-23T01:58:38.7027383Z [       OK ] Kernel.Vectorize (30 ms)
2022-11-23T01:58:38.7027844Z [ RUN      ] Kernel.Strided1dWithinBounds
2022-11-23T01:58:38.7254693Z [       OK ] Kernel.Strided1dWithinBounds (22 ms)
2022-11-23T01:58:38.7255218Z [ RUN      ] Kernel.InputAsOutput
2022-11-23T01:58:38.7594792Z [       OK ] Kernel.InputAsOutput (34 ms)
2022-11-23T01:58:38.7595282Z [ RUN      ] Kernel.ScalarOut
2022-11-23T01:58:38.7795737Z [       OK ] Kernel.ScalarOut (20 ms)
2022-11-23T01:58:38.7796052Z [ RUN      ] Kernel.ScalarTensorOut
2022-11-23T01:58:38.8053053Z [       OK ] Kernel.ScalarTensorOut (25 ms)
2022-11-23T01:58:38.8053389Z [ RUN      ] Kernel.FuseLoopsWithVariableBounds
2022-11-23T01:58:39.2486888Z [       OK ] Kernel.FuseLoopsWithVariableBounds (443 ms)
2022-11-23T01:58:39.2487272Z [ RUN      ] Kernel.FuseLoopsWithVariableConcatDim
2022-11-23T01:58:39.7516911Z [       OK ] Kernel.FuseLoopsWithVariableConcatDim (502 ms)
2022-11-23T01:58:39.7517522Z [ RUN      ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims
2022-11-23T01:58:40.0794936Z [       OK ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims (327 ms)
2022-11-23T01:58:40.0795368Z [----------] 37 tests from Kernel (5966 ms total)
2022-11-23T01:58:40.0795568Z 
2022-11-23T01:58:40.0795734Z [----------] 174 tests from LoopNest
2022-11-23T01:58:40.0796083Z [ RUN      ] LoopNest.ExprSimple01
2022-11-23T01:58:40.0796865Z [       OK ] LoopNest.ExprSimple01 (0 ms)
2022-11-23T01:58:40.0797149Z [ RUN      ] LoopNest.ExprLower01
2022-11-23T01:58:40.0810908Z [       OK ] LoopNest.ExprLower01 (1 ms)
2022-11-23T01:58:40.0811268Z [ RUN      ] LoopNest.ExprSimple02
2022-11-23T01:58:40.0832784Z [       OK ] LoopNest.ExprSimple02 (2 ms)
2022-11-23T01:58:40.0833150Z [ RUN      ] LoopNest.ExprSliceHeadWithLoopOptions
2022-11-23T01:58:40.0835969Z [       OK ] LoopNest.ExprSliceHeadWithLoopOptions (0 ms)
2022-11-23T01:58:40.0836337Z [ RUN      ] LoopNest.ExprSliceTailWithLoopOptions
2022-11-23T01:58:40.0839033Z [       OK ] LoopNest.ExprSliceTailWithLoopOptions (0 ms)
2022-11-23T01:58:40.0839421Z [ RUN      ] LoopNest.ExprSliceHeadWhenFactorEqualsSize
2022-11-23T01:58:40.0849929Z [       OK ] LoopNest.ExprSliceHeadWhenFactorEqualsSize (1 ms)
2022-11-23T01:58:40.0850371Z [ RUN      ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize
2022-11-23T01:58:40.0850862Z [       OK ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize (0 ms)
2022-11-23T01:58:40.0851210Z [ RUN      ] LoopNest.ExprSliceHead
2022-11-23T01:58:40.0851951Z [       OK ] LoopNest.ExprSliceHead (0 ms)
2022-11-23T01:58:40.0852290Z [ RUN      ] LoopNest.ExprSliceHeadWithNonZeroStart
2022-11-23T01:58:40.0854074Z [       OK ] LoopNest.ExprSliceHeadWithNonZeroStart (0 ms)
2022-11-23T01:58:40.0854574Z [ RUN      ] LoopNest.ExprSliceTailWhenFactorEqualsSize
2022-11-23T01:58:40.0855080Z [       OK ] LoopNest.ExprSliceTailWhenFactorEqualsSize (0 ms)
2022-11-23T01:58:40.0855561Z [ RUN      ] LoopNest.ExprSliceTailWhenFactorLargerThanSize
2022-11-23T01:58:40.0856128Z [       OK ] LoopNest.ExprSliceTailWhenFactorLargerThanSize (0 ms)
2022-11-23T01:58:40.0856691Z [ RUN      ] LoopNest.ExprSliceTail
2022-11-23T01:58:40.0857065Z [       OK ] LoopNest.ExprSliceTail (0 ms)
2022-11-23T01:58:40.0857362Z [ RUN      ] LoopNest.ExprSplitAndSlice
2022-11-23T01:58:40.0863843Z [       OK ] LoopNest.ExprSplitAndSlice (0 ms)
2022-11-23T01:58:40.0864151Z [ RUN      ] LoopNest.ExprSliceAndNormalize
2022-11-23T01:58:40.0865966Z [       OK ] LoopNest.ExprSliceAndNormalize (0 ms)
2022-11-23T01:58:40.0866328Z [ RUN      ] LoopNest.ExprSliceWithVariableDimension
2022-11-23T01:58:40.0883021Z [       OK ] LoopNest.ExprSliceWithVariableDimension (1 ms)
2022-11-23T01:58:40.0883406Z [ RUN      ] LoopNest.ExprSplitWithTail
2022-11-23T01:58:40.0899081Z [       OK ] LoopNest.ExprSplitWithTail (0 ms)
2022-11-23T01:58:40.0899513Z [ RUN      ] LoopNest.ExprSplitWithTailNone
2022-11-23T01:58:40.0903691Z [       OK ] LoopNest.ExprSplitWithTailNone (1 ms)
2022-11-23T01:58:40.0904191Z [ RUN      ] LoopNest.ExprSplitWithMask01
2022-11-23T01:58:40.0941434Z [       OK ] LoopNest.ExprSplitWithMask01 (3 ms)
2022-11-23T01:58:40.0941862Z [ RUN      ] LoopNest.ExprSplitWithMaskRepeatedNoMask
2022-11-23T01:58:40.0952110Z [       OK ] LoopNest.ExprSplitWithMaskRepeatedNoMask (1 ms)
2022-11-23T01:58:40.0952523Z [ RUN      ] LoopNest.getLoopAt
2022-11-23T01:58:40.0960272Z [       OK ] LoopNest.getLoopAt (0 ms)
2022-11-23T01:58:40.0960619Z [ RUN      ] LoopNest.TileSimple
2022-11-23T01:58:40.1866855Z [       OK ] LoopNest.TileSimple (90 ms)
2022-11-23T01:58:40.1867391Z [ RUN      ] LoopNest.TileWithTails
2022-11-23T01:58:40.2776122Z [       OK ] LoopNest.TileWithTails (90 ms)
2022-11-23T01:58:40.2776662Z [ RUN      ] LoopNest.TileInMiddle
2022-11-23T01:58:40.4242010Z [       OK ] LoopNest.TileInMiddle (146 ms)
2022-11-23T01:58:40.4242440Z [ RUN      ] LoopNest.SplitWithTailWithLoopOptions
2022-11-23T01:58:40.4242828Z [       OK ] LoopNest.SplitWithTailWithLoopOptions (0 ms)
2022-11-23T01:58:40.4243206Z [ RUN      ] LoopNest.SplitWithMaskWithLoopOptions
2022-11-23T01:58:40.4243574Z [       OK ] LoopNest.SplitWithMaskWithLoopOptions (0 ms)
2022-11-23T01:58:40.4243918Z [ RUN      ] LoopNest.ScheduleBroadcastAddBuffer
2022-11-23T01:58:40.4262873Z [       OK ] LoopNest.ScheduleBroadcastAddBuffer (1 ms)
2022-11-23T01:58:40.4263219Z [ RUN      ] LoopNest.ScheduleFunctionCall01
2022-11-23T01:58:40.4339769Z [       OK ] LoopNest.ScheduleFunctionCall01 (7 ms)
2022-11-23T01:58:40.4340113Z [ RUN      ] LoopNest.ScheduleInlineSimple
2022-11-23T01:58:40.4460758Z [       OK ] LoopNest.ScheduleInlineSimple (12 ms)
2022-11-23T01:58:40.4461087Z [ RUN      ] LoopNest.ScheduleInlineFunc01
2022-11-23T01:58:40.5025116Z [       OK ] LoopNest.ScheduleInlineFunc01 (56 ms)
2022-11-23T01:58:40.5025457Z [ RUN      ] LoopNest.ScheduleInlineRandom
2022-11-23T01:58:40.5028321Z [       OK ] LoopNest.ScheduleInlineRandom (0 ms)
2022-11-23T01:58:40.5028670Z [ RUN      ] LoopNest.ScheduleInlineRandomUnrelated
2022-11-23T01:58:40.5032111Z [       OK ] LoopNest.ScheduleInlineRandomUnrelated (0 ms)
2022-11-23T01:58:40.5032513Z [ RUN      ] LoopNest.ScheduleInlineRandomLowerDimensions
2022-11-23T01:58:40.5035198Z [       OK ] LoopNest.ScheduleInlineRandomLowerDimensions (0 ms)
2022-11-23T01:58:40.5035617Z [ RUN      ] LoopNest.ScheduleInlineIntrinsics
2022-11-23T01:58:40.5124861Z [       OK ] LoopNest.ScheduleInlineIntrinsics (8 ms)
2022-11-23T01:58:40.5125242Z [ RUN      ] LoopNest.ScheduleInlineRandWithIntrinsics
2022-11-23T01:58:40.5127838Z [       OK ] LoopNest.ScheduleInlineRandWithIntrinsics (0 ms)
2022-11-23T01:58:40.5128199Z [ RUN      ] LoopNest.ScheduleSplitAThenInline
2022-11-23T01:58:40.5129741Z [       OK ] LoopNest.ScheduleSplitAThenInline (0 ms)
2022-11-23T01:58:40.5130112Z [ RUN      ] LoopNest.ScheduleSplitBThenInline
2022-11-23T01:58:40.5133791Z [       OK ] LoopNest.ScheduleSplitBThenInline (0 ms)
2022-11-23T01:58:40.5134169Z [ RUN      ] LoopNest.ScheduleSplitTwiceThenInline
2022-11-23T01:58:40.5135801Z [       OK ] LoopNest.ScheduleSplitTwiceThenInline (0 ms)
2022-11-23T01:58:40.5136168Z [ RUN      ] LoopNest.ScheduleInlineThenSplit
2022-11-23T01:58:40.5139994Z [       OK ] LoopNest.ScheduleInlineThenSplit (0 ms)
2022-11-23T01:58:40.5140362Z [ RUN      ] LoopNest.ScheduleSplitInlineThenSplit
2022-11-23T01:58:40.5147997Z [       OK ] LoopNest.ScheduleSplitInlineThenSplit (0 ms)
2022-11-23T01:58:40.5148375Z [ RUN      ] LoopNest.ScheduleSplitInlineSimplify
2022-11-23T01:58:40.5149300Z [       OK ] LoopNest.ScheduleSplitInlineSimplify (0 ms)
2022-11-23T01:58:40.5149905Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedOnce
2022-11-23T01:58:40.5154837Z [       OK ] LoopNest.ScheduleInlineThreeMixedOnce (0 ms)
2022-11-23T01:58:40.5155197Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedTwice
2022-11-23T01:58:40.5159764Z [       OK ] LoopNest.ScheduleInlineThreeMixedTwice (0 ms)
2022-11-23T01:58:40.5160180Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedInner
2022-11-23T01:58:40.5165098Z [       OK ] LoopNest.ScheduleInlineThreeMixedInner (0 ms)
2022-11-23T01:58:40.5165497Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedSplit
2022-11-23T01:58:40.5167659Z [       OK ] LoopNest.ScheduleInlineThreeMixedSplit (0 ms)
2022-11-23T01:58:40.5168064Z [ RUN      ] LoopNest.ScheduleInlineOutputTensors
2022-11-23T01:58:40.5172314Z [       OK ] LoopNest.ScheduleInlineOutputTensors (0 ms)
2022-11-23T01:58:40.5172754Z [ RUN      ] LoopNest.ScheduleInlineWithCompoundIndices
2022-11-23T01:58:40.5182118Z [       OK ] LoopNest.ScheduleInlineWithCompoundIndices (0 ms)
2022-11-23T01:58:40.5182732Z [ RUN      ] LoopNest.ScheduleInlineConsumerIndicesWithCast
2022-11-23T01:58:40.5183782Z [       OK ] LoopNest.ScheduleInlineConsumerIndicesWithCast (0 ms)
2022-11-23T01:58:40.5184567Z [ RUN      ] LoopNest.ScheduleInlineProducerIndicesWithCast
2022-11-23T01:58:40.5185381Z [       OK ] LoopNest.ScheduleInlineProducerIndicesWithCast (0 ms)
2022-11-23T01:58:40.5186039Z [ RUN      ] LoopNest.ScheduleFuserStyle
2022-11-23T01:58:40.5236613Z [       OK ] LoopNest.ScheduleFuserStyle (5 ms)
2022-11-23T01:58:40.5237216Z [ RUN      ] LoopNest.ScheduleFuserThreeArg
2022-11-23T01:58:40.5297390Z [       OK ] LoopNest.ScheduleFuserThreeArg (6 ms)
2022-11-23T01:58:40.5297724Z [ RUN      ] LoopNest.ScheduleDynamicShape2D
2022-11-23T01:58:40.5412340Z [       OK ] LoopNest.ScheduleDynamicShape2D (11 ms)
2022-11-23T01:58:40.5412929Z [ RUN      ] LoopNest.LoopNestComputeAt_1
2022-11-23T01:58:40.5421860Z [       OK ] LoopNest.LoopNestComputeAt_1 (0 ms)
2022-11-23T01:58:40.5422414Z [ RUN      ] LoopNest.LoopNestComputeAt_2
2022-11-23T01:58:40.5916721Z [       OK ] LoopNest.LoopNestComputeAt_2 (49 ms)
2022-11-23T01:58:40.6407217Z [ RUN      ] LoopNest.LoopNestComputeAt_3
2022-11-23T01:58:40.6407806Z [       OK ] LoopNest.LoopNestComputeAt_3 (49 ms)
2022-11-23T01:58:40.6408371Z [ RUN      ] LoopNest.Reduce2dComputeAt
2022-11-23T01:58:40.7230585Z [       OK ] LoopNest.Reduce2dComputeAt (82 ms)
2022-11-23T01:58:40.7231212Z [ RUN      ] LoopNest.LoopNestReorderAxis1
2022-11-23T01:58:40.7233346Z [       OK ] LoopNest.LoopNestReorderAxis1 (0 ms)
2022-11-23T01:58:40.7233965Z [ RUN      ] LoopNest.LoopNestReorderPartialAxes
2022-11-23T01:58:40.7244993Z [       OK ] LoopNest.LoopNestReorderPartialAxes (1 ms)
2022-11-23T01:58:40.7245656Z [ RUN      ] LoopNest.LoopNestReorderInternalAxis
2022-11-23T01:58:40.7254683Z [       OK ] LoopNest.LoopNestReorderInternalAxis (1 ms)
2022-11-23T01:58:40.7255344Z [ RUN      ] LoopNest.LoopNestReorderEnclosingAxis
2022-11-23T01:58:40.7265086Z [       OK ] LoopNest.LoopNestReorderEnclosingAxis (1 ms)
2022-11-23T01:58:40.7265728Z [ RUN      ] LoopNest.LoopNestReorderSameAxis
2022-11-23T01:58:40.7266348Z [       OK ] LoopNest.LoopNestReorderSameAxis (0 ms)
2022-11-23T01:58:40.7266990Z [ RUN      ] LoopNest.LoopNestReorderExtraStatements
2022-11-23T01:58:40.7281701Z [       OK ] LoopNest.LoopNestReorderExtraStatements (1 ms)
2022-11-23T01:58:40.7282464Z [ RUN      ] LoopNest.LoopNestReorderLongStringOfPreOrphans
2022-11-23T01:58:40.7853912Z [       OK ] LoopNest.LoopNestReorderLongStringOfPreOrphans (57 ms)
2022-11-23T01:58:40.7854561Z [ RUN      ] LoopNest.LoopNestReorderLongStringOfPostOrphans
2022-11-23T01:58:40.8427269Z [       OK ] LoopNest.LoopNestReorderLongStringOfPostOrphans (57 ms)
2022-11-23T01:58:40.8428019Z [ RUN      ] LoopNest.LoopNestReorderLongStringFull
2022-11-23T01:58:40.9150796Z [       OK ] LoopNest.LoopNestReorderLongStringFull (72 ms)
2022-11-23T01:58:40.9151500Z [ RUN      ] LoopNest.LoopNestReorderInternalLoopNest
2022-11-23T01:58:40.9267451Z [       OK ] LoopNest.LoopNestReorderInternalLoopNest (11 ms)
2022-11-23T01:58:40.9268127Z [ RUN      ] LoopNest.OuterLoopVectorization
2022-11-23T01:58:40.9268934Z [       OK ] LoopNest.OuterLoopVectorization (0 ms)
2022-11-23T01:58:40.9269570Z [ RUN      ] LoopNest.VectorizeLoopNotNormalized
2022-11-23T01:58:40.9271645Z [       OK ] LoopNest.VectorizeLoopNotNormalized (0 ms)
2022-11-23T01:58:40.9271975Z [ RUN      ] LoopNest.Unroll
2022-11-23T01:58:40.9272245Z [       OK ] LoopNest.Unroll (0 ms)
2022-11-23T01:58:40.9272560Z [ RUN      ] LoopNest.UnrollOuter
2022-11-23T01:58:40.9274156Z [       OK ] LoopNest.UnrollOuter (0 ms)
2022-11-23T01:58:40.9274510Z [ RUN      ] LoopNest.UnrollInner
2022-11-23T01:58:40.9276362Z [       OK ] LoopNest.UnrollInner (0 ms)
2022-11-23T01:58:40.9276959Z [ RUN      ] LoopNest.UnrollMultipleStatements
2022-11-23T01:58:40.9277552Z [       OK ] LoopNest.UnrollMultipleStatements (0 ms)
2022-11-23T01:58:40.9278165Z [ RUN      ] LoopNest.UnrollNonLiteralConstantBounds
2022-11-23T01:58:40.9279238Z [       OK ] LoopNest.UnrollNonLiteralConstantBounds (0 ms)
2022-11-23T01:58:40.9279684Z [ RUN      ] LoopNest.UnrollNonConstantBounds
2022-11-23T01:58:40.9294694Z [       OK ] LoopNest.UnrollNonConstantBounds (1 ms)
2022-11-23T01:58:40.9295323Z [ RUN      ] LoopNest.UnrollByFactorsLessThan2
2022-11-23T01:58:40.9295751Z [       OK ] LoopNest.UnrollByFactorsLessThan2 (0 ms)
2022-11-23T01:58:40.9296105Z [ RUN      ] LoopNest.UnrollByFactorEqualToIters
2022-11-23T01:58:40.9298761Z [       OK ] LoopNest.UnrollByFactorEqualToIters (0 ms)
2022-11-23T01:58:40.9299324Z [ RUN      ] LoopNest.UnrollEmpty
2022-11-23T01:58:40.9299731Z [       OK ] LoopNest.UnrollEmpty (0 ms)
2022-11-23T01:58:40.9299998Z [ RUN      ] LoopNest.NoUnroll
2022-11-23T01:58:40.9308859Z [       OK ] LoopNest.NoUnroll (0 ms)
2022-11-23T01:58:40.9309366Z [ RUN      ] LoopNest.UnrollWithLet
2022-11-23T01:58:40.9310892Z [       OK ] LoopNest.UnrollWithLet (0 ms)
2022-11-23T01:58:40.9311431Z [ RUN      ] LoopNest.IsNormalized
2022-11-23T01:58:40.9311845Z [       OK ] LoopNest.IsNormalized (0 ms)
2022-11-23T01:58:40.9312155Z [ RUN      ] LoopNest.NormalizeStartPositive
2022-11-23T01:58:40.9313869Z [       OK ] LoopNest.NormalizeStartPositive (0 ms)
2022-11-23T01:58:40.9314515Z [ RUN      ] LoopNest.NormalizeStartNegative
2022-11-23T01:58:40.9316932Z [       OK ] LoopNest.NormalizeStartNegative (0 ms)
2022-11-23T01:58:40.9317297Z [ RUN      ] LoopNest.NormalizeStartZero
2022-11-23T01:58:40.9317762Z [       OK ] LoopNest.NormalizeStartZero (0 ms)
2022-11-23T01:58:40.9318074Z [ RUN      ] LoopNest.NormalizeStartVariable
2022-11-23T01:58:40.9320815Z [       OK ] LoopNest.NormalizeStartVariable (0 ms)
2022-11-23T01:58:40.9321181Z [ RUN      ] LoopNest.NormalizeOnNestedOuterLoop
2022-11-23T01:58:40.9323302Z [       OK ] LoopNest.NormalizeOnNestedOuterLoop (0 ms)
2022-11-23T01:58:40.9323674Z [ RUN      ] LoopNest.NormalizeOnNestedInnerLoop
2022-11-23T01:58:40.9325691Z [       OK ] LoopNest.NormalizeOnNestedInnerLoop (0 ms)
2022-11-23T01:58:40.9326046Z [ RUN      ] LoopNest.NormalizeAndSplitWithTail
2022-11-23T01:58:40.9329867Z [       OK ] LoopNest.NormalizeAndSplitWithTail (0 ms)
2022-11-23T01:58:40.9330468Z [ RUN      ] LoopNest.NotNormalizeAndSplitWithTail
2022-11-23T01:58:40.9335104Z [       OK ] LoopNest.NotNormalizeAndSplitWithTail (0 ms)
2022-11-23T01:58:40.9335462Z [ RUN      ] LoopNest.FlattenSimpleLoopNest2D
2022-11-23T01:58:40.9345365Z [       OK ] LoopNest.FlattenSimpleLoopNest2D (1 ms)
2022-11-23T01:58:40.9345773Z [ RUN      ] LoopNest.FlattenSimpleLoopNest3D
2022-11-23T01:58:40.9428024Z [       OK ] LoopNest.FlattenSimpleLoopNest3D (8 ms)
2022-11-23T01:58:40.9428370Z [ RUN      ] LoopNest.FlattenLoopNestAfterNormalize
2022-11-23T01:58:40.9454054Z [       OK ] LoopNest.FlattenLoopNestAfterNormalize (2 ms)
2022-11-23T01:58:40.9454599Z [ RUN      ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds
2022-11-23T01:58:40.9466190Z [       OK ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds (1 ms)
2022-11-23T01:58:40.9466924Z [ RUN      ] LoopNest.FlattenImperfectLoopNest
2022-11-23T01:58:40.9467554Z [       OK ] LoopNest.FlattenImperfectLoopNest (0 ms)
2022-11-23T01:58:40.9468176Z [ RUN      ] LoopNest.FlattenReductionLoopNest
2022-11-23T01:58:40.9468621Z [       OK ] LoopNest.FlattenReductionLoopNest (0 ms)
2022-11-23T01:58:40.9469093Z [ RUN      ] LoopNest.FlattenReductionLoopNestFromTensor
2022-11-23T01:58:40.9469561Z [       OK ] LoopNest.FlattenReductionLoopNestFromTensor (0 ms)
2022-11-23T01:58:40.9469945Z [ RUN      ] LoopNest.FlattenIncorrectLoopsAsInput
2022-11-23T01:58:40.9470299Z [       OK ] LoopNest.FlattenIncorrectLoopsAsInput (0 ms)
2022-11-23T01:58:40.9470656Z [ RUN      ] LoopNest.DetectInlineRankMismatch
2022-11-23T01:58:40.9470998Z [       OK ] LoopNest.DetectInlineRankMismatch (0 ms)
2022-11-23T01:58:40.9471300Z [ RUN      ] LoopNest.CacheReadsSimple
2022-11-23T01:58:40.9830588Z [       OK ] LoopNest.CacheReadsSimple (35 ms)
2022-11-23T01:58:40.9830910Z [ RUN      ] LoopNest.CacheReadsOuter
2022-11-23T01:58:41.0219133Z [       OK ] LoopNest.CacheReadsOuter (38 ms)
2022-11-23T01:58:41.0219469Z [ RUN      ] LoopNest.CacheReadsInternal
2022-11-23T01:58:41.0633650Z [       OK ] LoopNest.CacheReadsInternal (41 ms)
2022-11-23T01:58:41.0633976Z [ RUN      ] LoopNest.CacheReadsInner
2022-11-23T01:58:41.1283774Z [       OK ] LoopNest.CacheReadsInner (64 ms)
2022-11-23T01:58:41.1284359Z [ RUN      ] LoopNest.CacheWritesSimple
2022-11-23T01:58:41.2017794Z [       OK ] LoopNest.CacheWritesSimple (73 ms)
2022-11-23T01:58:41.2018466Z [ RUN      ] LoopNest.DeadStoreElimination
2022-11-23T01:58:41.2032422Z [       OK ] LoopNest.DeadStoreElimination (1 ms)
2022-11-23T01:58:41.2033133Z [ RUN      ] LoopNest.DeadStoreEliminationWithIntermediates
2022-11-23T01:58:41.2045599Z [       OK ] LoopNest.DeadStoreEliminationWithIntermediates (1 ms)
2022-11-23T01:58:41.2046297Z [ RUN      ] LoopNest.CompoundTensorSimple
2022-11-23T01:58:41.2059422Z [       OK ] LoopNest.CompoundTensorSimple (1 ms)
2022-11-23T01:58:41.2059988Z [ RUN      ] LoopNest.InlineConstantIndex
2022-11-23T01:58:41.2063529Z [       OK ] LoopNest.InlineConstantIndex (0 ms)
2022-11-23T01:58:41.2064107Z [ RUN      ] LoopNest.CompoundTensorUsed
2022-11-23T01:58:41.2086483Z [       OK ] LoopNest.CompoundTensorUsed (2 ms)
2022-11-23T01:58:41.2087027Z [ RUN      ] LoopNest.InlineFromLoad
2022-11-23T01:58:41.2087557Z [       OK ] LoopNest.InlineFromLoad (0 ms)
2022-11-23T01:58:41.2088113Z [ RUN      ] LoopNest.OptimizeConditionalsSimple
2022-11-23T01:58:41.2089213Z [       OK ] LoopNest.OptimizeConditionalsSimple (0 ms)
2022-11-23T01:58:41.2089906Z [ RUN      ] LoopNest.OptimizeConditionalsNestedConditions
2022-11-23T01:58:41.2092968Z [       OK ] LoopNest.OptimizeConditionalsNestedConditions (0 ms)
2022-11-23T01:58:41.2093996Z [ RUN      ] LoopNest.OptimizeConditionalsMultipleStores
2022-11-23T01:58:41.2096682Z [       OK ] LoopNest.OptimizeConditionalsMultipleStores (0 ms)
2022-11-23T01:58:41.2097495Z [ RUN      ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop
2022-11-23T01:58:41.2103181Z [       OK ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop (0 ms)
2022-11-23T01:58:41.2103972Z [ RUN      ] LoopNest.OptimizeConditionalsOuterLoopVar
2022-11-23T01:58:41.2107272Z [       OK ] LoopNest.OptimizeConditionalsOuterLoopVar (0 ms)
2022-11-23T01:58:41.2108057Z [ RUN      ] LoopNest.OptimizeConditionalsCompValuesNotOrdered
2022-11-23T01:58:41.2111519Z [       OK ] LoopNest.OptimizeConditionalsCompValuesNotOrdered (0 ms)
2022-11-23T01:58:41.2112349Z [ RUN      ] LoopNest.OptimizeConditionalsCompValuesNotConstants
2022-11-23T01:58:41.2115885Z [       OK ] LoopNest.OptimizeConditionalsCompValuesNotConstants (0 ms)
2022-11-23T01:58:41.2116362Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition
2022-11-23T01:58:41.2119145Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition (0 ms)
2022-11-23T01:58:41.2119574Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition2
2022-11-23T01:58:41.2122529Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition2 (0 ms)
2022-11-23T01:58:41.2122958Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition3
2022-11-23T01:58:41.2125502Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition3 (0 ms)
2022-11-23T01:58:41.2125919Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition4
2022-11-23T01:58:41.2128201Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition4 (0 ms)
2022-11-23T01:58:41.2128663Z [ RUN      ] LoopNest.OptimizeConditionalsNotNormalized
2022-11-23T01:58:41.2130035Z [       OK ] LoopNest.OptimizeConditionalsNotNormalized (0 ms)
2022-11-23T01:58:41.2130435Z [ RUN      ] LoopNest.ColReduceSplitTailEvenReorder
2022-11-23T01:58:41.3579547Z [       OK ] LoopNest.ColReduceSplitTailEvenReorder (144 ms)
2022-11-23T01:58:41.3579958Z [ RUN      ] LoopNest.ColReduceSplitTailUnevenReorder
2022-11-23T01:58:41.4721857Z [       OK ] LoopNest.ColReduceSplitTailUnevenReorder (114 ms)
2022-11-23T01:58:41.4722315Z [ RUN      ] LoopNest.ColReduceSplitMaskEvenReorder
2022-11-23T01:58:41.6162012Z [       OK ] LoopNest.ColReduceSplitMaskEvenReorder (143 ms)
2022-11-23T01:58:41.6162434Z [ RUN      ] LoopNest.ColReduceSplitMaskUnevenReorder
2022-11-23T01:58:41.7460345Z [       OK ] LoopNest.ColReduceSplitMaskUnevenReorder (129 ms)
2022-11-23T01:58:41.7460800Z [ RUN      ] LoopNest.ReorderAxisWithMultipleConds
2022-11-23T01:58:41.7462377Z [       OK ] LoopNest.ReorderAxisWithMultipleConds (0 ms)
2022-11-23T01:58:41.7462822Z [ RUN      ] LoopNest.VectorizeUse
2022-11-23T01:58:41.7464452Z [       OK ] LoopNest.VectorizeUse (0 ms)
2022-11-23T01:58:41.7464781Z [ RUN      ] LoopNest.Int64Direct
2022-11-23T01:58:41.7465168Z [       OK ] LoopNest.Int64Direct (0 ms)
2022-11-23T01:58:41.7465537Z [ RUN      ] LoopNest.Int64Compute
2022-11-23T01:58:41.7466099Z [       OK ] LoopNest.Int64Compute (0 ms)
2022-11-23T01:58:41.7466679Z [ RUN      ] LoopNest.DistributeLoopWithAllStmtsAsPivots
2022-11-23T01:58:41.7467422Z [       OK ] LoopNest.DistributeLoopWithAllStmtsAsPivots (0 ms)
2022-11-23T01:58:41.7468044Z [ RUN      ] LoopNest.DistributeLoopWithOneStmtAsPivot
2022-11-23T01:58:41.7468448Z [       OK ] LoopNest.DistributeLoopWithOneStmtAsPivot (0 ms)
2022-11-23T01:58:41.7469008Z [ RUN      ] LoopNest.DistributeLoopWithoutAnyPivot
2022-11-23T01:58:41.7469709Z [       OK ] LoopNest.DistributeLoopWithoutAnyPivot (0 ms)
2022-11-23T01:58:41.7470262Z [ RUN      ] LoopNest.DistributeLoopOverInnerLoops
2022-11-23T01:58:41.7470788Z [       OK ] LoopNest.DistributeLoopOverInnerLoops (0 ms)
2022-11-23T01:58:41.7471480Z [ RUN      ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot
2022-11-23T01:58:41.7471932Z [       OK ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot (0 ms)
2022-11-23T01:58:41.7472294Z [ RUN      ] LoopNest.fuseLoopsSimple
2022-11-23T01:58:41.7473052Z [       OK ] LoopNest.fuseLoopsSimple (0 ms)
2022-11-23T01:58:41.7473620Z [ RUN      ] LoopNest.fuseLoopsMultiple
2022-11-23T01:58:41.7478645Z [       OK ] LoopNest.fuseLoopsMultiple (0 ms)
2022-11-23T01:58:41.7479137Z [ RUN      ] LoopNest.fuseLoopsNested
2022-11-23T01:58:41.7485348Z [       OK ] LoopNest.fuseLoopsNested (0 ms)
2022-11-23T01:58:41.7485808Z [ RUN      ] LoopNest.fuseLoopsNested2D
2022-11-23T01:58:41.7488936Z [       OK ] LoopNest.fuseLoopsNested2D (0 ms)
2022-11-23T01:58:41.7489327Z [ RUN      ] LoopNest.fuseLoopsNested2DInner
2022-11-23T01:58:41.7491494Z [       OK ] LoopNest.fuseLoopsNested2DInner (0 ms)
2022-11-23T01:58:41.7492151Z [ RUN      ] LoopNest.fuseLoopsDifferentStopBounds
2022-11-23T01:58:41.7492801Z [       OK ] LoopNest.fuseLoopsDifferentStopBounds (0 ms)
2022-11-23T01:58:41.7493303Z [ RUN      ] LoopNest.fuseLoopsDifferentStartBounds
2022-11-23T01:58:41.7493745Z [       OK ] LoopNest.fuseLoopsDifferentStartBounds (0 ms)
2022-11-23T01:58:41.7494137Z [ RUN      ] LoopNest.fuseLoopsNotContiguous
2022-11-23T01:58:41.7494771Z [       OK ] LoopNest.fuseLoopsNotContiguous (0 ms)
2022-11-23T01:58:41.7495182Z [ RUN      ] LoopNest.fuseLoopsWithDifferentParents
2022-11-23T01:58:41.7495562Z [       OK ] LoopNest.fuseLoopsWithDifferentParents (0 ms)
2022-11-23T01:58:41.7495909Z [ RUN      ] LoopNest.fuseLoopsWithVariableBounds
2022-11-23T01:58:41.7497936Z [       OK ] LoopNest.fuseLoopsWithVariableBounds (0 ms)
2022-11-23T01:58:41.7498291Z [ RUN      ] LoopNest.fuseLoopsWithExprBounds
2022-11-23T01:58:41.7503108Z [       OK ] LoopNest.fuseLoopsWithExprBounds (0 ms)
2022-11-23T01:58:41.7503468Z [ RUN      ] LoopNest.fuseLoopsWithDifferentExprBounds
2022-11-23T01:58:41.7507435Z [       OK ] LoopNest.fuseLoopsWithDifferentExprBounds (0 ms)
2022-11-23T01:58:41.7507866Z [ RUN      ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses
2022-11-23T01:58:41.7512050Z [       OK ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses (0 ms)
2022-11-23T01:58:41.7512525Z [ RUN      ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses
2022-11-23T01:58:41.7520168Z [       OK ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses (0 ms)
2022-11-23T01:58:41.7520566Z [ RUN      ] LoopNest.fuseLoopsWithReductions
2022-11-23T01:58:41.7525613Z [       OK ] LoopNest.fuseLoopsWithReductions (0 ms)
2022-11-23T01:58:41.7526019Z [ RUN      ] LoopNest.fuseLoopsWith2DReductions
2022-11-23T01:58:41.7535041Z [       OK ] LoopNest.fuseLoopsWith2DReductions (0 ms)
2022-11-23T01:58:41.7535390Z [ RUN      ] LoopNest.fuseLoopsWithComplexIndices
2022-11-23T01:58:41.7543331Z [       OK ] LoopNest.fuseLoopsWithComplexIndices (0 ms)
2022-11-23T01:58:41.7543723Z [ RUN      ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices
2022-11-23T01:58:41.7554563Z [       OK ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices (1 ms)
2022-11-23T01:58:41.7554924Z [ RUN      ] LoopNest.fuseLoopsWithTranspose
2022-11-23T01:58:41.7560445Z [       OK ] LoopNest.fuseLoopsWithTranspose (0 ms)
2022-11-23T01:58:41.7560820Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies1
2022-11-23T01:58:41.7565165Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies1 (0 ms)
2022-11-23T01:58:41.7565687Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies2
2022-11-23T01:58:41.7569569Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies2 (0 ms)
2022-11-23T01:58:41.7569968Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies3
2022-11-23T01:58:41.7577938Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies3 (0 ms)
2022-11-23T01:58:41.7578342Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies4
2022-11-23T01:58:41.7587943Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies4 (0 ms)
2022-11-23T01:58:41.7588358Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies5
2022-11-23T01:58:41.7592985Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies5 (0 ms)
2022-11-23T01:58:41.7593481Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies6
2022-11-23T01:58:41.7598404Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies6 (0 ms)
2022-11-23T01:58:41.7598786Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies7
2022-11-23T01:58:41.7604009Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies7 (0 ms)
2022-11-23T01:58:41.7604658Z [ RUN      ] LoopNest.areLoopsPerfectlyNested
2022-11-23T01:58:41.7605194Z [       OK ] LoopNest.areLoopsPerfectlyNested (0 ms)
2022-11-23T01:58:41.7605580Z [ RUN      ] LoopNest.reorderNestedLoops2D
2022-11-23T01:58:41.7606408Z [       OK ] LoopNest.reorderNestedLoops2D (0 ms)
2022-11-23T01:58:41.7606880Z [ RUN      ] LoopNest.reorderNestedLoops3D
2022-11-23T01:58:41.7607407Z [       OK ] LoopNest.reorderNestedLoops3D (0 ms)
2022-11-23T01:58:41.7607936Z [ RUN      ] LoopNest.reorderNestedLoops4D
2022-11-23T01:58:41.7608434Z [       OK ] LoopNest.reorderNestedLoops4D (0 ms)
2022-11-23T01:58:41.7608992Z [ RUN      ] LoopNest.reorderTrivialPermutation
2022-11-23T01:58:41.7609562Z [       OK ] LoopNest.reorderTrivialPermutation (0 ms)
2022-11-23T01:58:41.7610149Z [ RUN      ] LoopNest.reorderInvalidPermutations
2022-11-23T01:58:41.7610697Z [       OK ] LoopNest.reorderInvalidPermutations (0 ms)
2022-11-23T01:58:41.7611145Z [ RUN      ] LoopNest.reorderInvalidLoopNest
2022-11-23T01:58:41.7611483Z [       OK ] LoopNest.reorderInvalidLoopNest (0 ms)
2022-11-23T01:58:41.7611809Z [ RUN      ] LoopNest.compressBufferSimple
2022-11-23T01:58:41.7612139Z [       OK ] LoopNest.compressBufferSimple (0 ms)
2022-11-23T01:58:41.7612463Z [ RUN      ] LoopNest.compressBufferMultipleDims
2022-11-23T01:58:41.7612820Z [       OK ] LoopNest.compressBufferMultipleDims (0 ms)
2022-11-23T01:58:41.7613185Z [ RUN      ] LoopNest.compressBufferMultipleDims2
2022-11-23T01:58:41.7613530Z [       OK ] LoopNest.compressBufferMultipleDims2 (0 ms)
2022-11-23T01:58:41.7613916Z [ RUN      ] LoopNest.compressBufferDifferentOrderIndices
2022-11-23T01:58:41.7614323Z [       OK ] LoopNest.compressBufferDifferentOrderIndices (0 ms)
2022-11-23T01:58:41.7614698Z [ RUN      ] LoopNest.compressBufferVariableBounds
2022-11-23T01:58:41.7615060Z [       OK ] LoopNest.compressBufferVariableBounds (0 ms)
2022-11-23T01:58:41.7615444Z [ RUN      ] LoopNest.compressBufferNoCommonParentLoops
2022-11-23T01:58:41.7615840Z [       OK ] LoopNest.compressBufferNoCommonParentLoops (0 ms)
2022-11-23T01:58:41.7616205Z [ RUN      ] LoopNest.compressBufferIndicesMixed
2022-11-23T01:58:41.7616837Z [       OK ] LoopNest.compressBufferIndicesMixed (0 ms)
2022-11-23T01:58:41.7617186Z [ RUN      ] LoopNest.compressMultipleBuffers
2022-11-23T01:58:41.7617537Z [       OK ] LoopNest.compressMultipleBuffers (0 ms)
2022-11-23T01:58:41.7617828Z [ RUN      ] LoopNest.sanitizeNames
2022-11-23T01:58:41.7627314Z [       OK ] LoopNest.sanitizeNames (1 ms)
2022-11-23T01:58:41.7627649Z [----------] 174 tests from LoopNest (1683 ms total)
2022-11-23T01:58:41.7627806Z 
2022-11-23T01:58:41.7628072Z [----------] 31 tests from MemDependency
2022-11-23T01:58:41.7628368Z [ RUN      ] MemDependency.BoundOverlap
2022-11-23T01:58:41.7638334Z [       OK ] MemDependency.BoundOverlap (1 ms)
2022-11-23T01:58:41.7638655Z [ RUN      ] MemDependency.BoundComparison
2022-11-23T01:58:41.7647059Z [       OK ] MemDependency.BoundComparison (0 ms)
2022-11-23T01:58:41.7647463Z [ RUN      ] MemDependency.BoundOverlapSymbolic
2022-11-23T01:58:41.7655841Z [       OK ] MemDependency.BoundOverlapSymbolic (0 ms)
2022-11-23T01:58:41.7656269Z [ RUN      ] MemDependency.BoundOverlapMultiDim
2022-11-23T01:58:41.7664494Z [       OK ] MemDependency.BoundOverlapMultiDim (0 ms)
2022-11-23T01:58:41.7664911Z [ RUN      ] MemDependency.BoundSubtract
2022-11-23T01:58:41.7671781Z [       OK ] MemDependency.BoundSubtract (0 ms)
2022-11-23T01:58:41.7672114Z [ RUN      ] MemDependency.BoundSubtractSymbolic
2022-11-23T01:58:41.7693369Z [       OK ] MemDependency.BoundSubtractSymbolic (2 ms)
2022-11-23T01:58:41.7693762Z [ RUN      ] MemDependency.BoundSubtractMultiDim
2022-11-23T01:58:41.7717753Z [       OK ] MemDependency.BoundSubtractMultiDim (2 ms)
2022-11-23T01:58:41.7718226Z [ RUN      ] MemDependency.BoundSubtractMultiDimSymbolic
2022-11-23T01:58:41.7751863Z [       OK ] MemDependency.BoundSubtractMultiDimSymbolic (3 ms)
2022-11-23T01:58:41.7752580Z [ RUN      ] MemDependency.MemDependencyCheckerSimple
2022-11-23T01:58:41.7753197Z [       OK ] MemDependency.MemDependencyCheckerSimple (0 ms)
2022-11-23T01:58:41.7753912Z [ RUN      ] MemDependency.MemDependencyCheckerMultiStmt
2022-11-23T01:58:41.7754630Z [       OK ] MemDependency.MemDependencyCheckerMultiStmt (0 ms)
2022-11-23T01:58:41.7755046Z [ RUN      ] MemDependency.MemDependencyCheckerOverlap
2022-11-23T01:58:41.7755505Z [       OK ] MemDependency.MemDependencyCheckerOverlap (0 ms)
2022-11-23T01:58:41.7756059Z [ RUN      ] MemDependency.MemDependencyCheckerLoop
2022-11-23T01:58:41.7756444Z [       OK ] MemDependency.MemDependencyCheckerLoop (0 ms)
2022-11-23T01:58:41.7756821Z [ RUN      ] MemDependency.MemDependencyCheckerLoopReduce
2022-11-23T01:58:41.7758221Z [       OK ] MemDependency.MemDependencyCheckerLoopReduce (0 ms)
2022-11-23T01:58:41.7758666Z [ RUN      ] MemDependency.MemDependencyCheckerLoopReduceExpanded
2022-11-23T01:58:41.7760798Z [       OK ] MemDependency.MemDependencyCheckerLoopReduceExpanded (0 ms)
2022-11-23T01:58:41.7761238Z [ RUN      ] MemDependency.MemDependencyCheckerInputsOutputs
2022-11-23T01:58:41.7762772Z [       OK ] MemDependency.MemDependencyCheckerInputsOutputs (0 ms)
2022-11-23T01:58:41.7763269Z [ RUN      ] MemDependency.MemDependencyCheckerOutputDoesntDepend
2022-11-23T01:58:41.7763850Z [       OK ] MemDependency.MemDependencyCheckerOutputDoesntDepend (0 ms)
2022-11-23T01:58:41.7764271Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBounds
2022-11-23T01:58:41.7775017Z [       OK ] MemDependency.MemDependencyCheckerLoopBounds (1 ms)
2022-11-23T01:58:41.7775469Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift
2022-11-23T01:58:41.7810575Z [       OK ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift (3 ms)
2022-11-23T01:58:41.7811050Z [ RUN      ] MemDependency.MemDependencyCheckerLoopSelfDependency
2022-11-23T01:58:41.7948983Z [       OK ] MemDependency.MemDependencyCheckerLoopSelfDependency (13 ms)
2022-11-23T01:58:41.7949465Z [ RUN      ] MemDependency.MemDependencyCheckerLoopDistinctStrides
2022-11-23T01:58:41.7958516Z [       OK ] MemDependency.MemDependencyCheckerLoopDistinctStrides (0 ms)
2022-11-23T01:58:41.7958975Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBoundsCond
2022-11-23T01:58:41.7976559Z [       OK ] MemDependency.MemDependencyCheckerLoopBoundsCond (1 ms)
2022-11-23T01:58:41.7977071Z [ RUN      ] MemDependency.MemDependencyCheckerIfThenElse
2022-11-23T01:58:41.7988072Z [       OK ] MemDependency.MemDependencyCheckerIfThenElse (1 ms)
2022-11-23T01:58:41.7988481Z [ RUN      ] MemDependency.MemDependencyCheckerCutLoop
2022-11-23T01:58:41.8007083Z [       OK ] MemDependency.MemDependencyCheckerCutLoop (1 ms)
2022-11-23T01:58:41.8007504Z [ RUN      ] MemDependency.MemDependencyCheckerDynamicShapes
2022-11-23T01:58:41.8034849Z [       OK ] MemDependency.MemDependencyCheckerDynamicShapes (2 ms)
2022-11-23T01:58:41.8035403Z [ RUN      ] MemDependency.MemDependencyCheckerMultiDim
2022-11-23T01:58:41.8069466Z [       OK ] MemDependency.MemDependencyCheckerMultiDim (3 ms)
2022-11-23T01:58:41.8069865Z [ RUN      ] MemDependency.MemDependencyCheckerComputeAPI
2022-11-23T01:58:41.8080527Z [       OK ] MemDependency.MemDependencyCheckerComputeAPI (1 ms)
2022-11-23T01:58:41.8080954Z [ RUN      ] MemDependency.MemDependencyCheckerComputeInline
2022-11-23T01:58:41.8088545Z [       OK ] MemDependency.MemDependencyCheckerComputeInline (0 ms)
2022-11-23T01:58:41.8088960Z [ RUN      ] MemDependency.MemDependencyCheckerComputeSplit
2022-11-23T01:58:41.8110715Z [       OK ] MemDependency.MemDependencyCheckerComputeSplit (2 ms)
2022-11-23T01:58:41.8111146Z [ RUN      ] MemDependency.MemDependencyCheckerComputeReorder
2022-11-23T01:58:41.8124793Z [       OK ] MemDependency.MemDependencyCheckerComputeReorder (1 ms)
2022-11-23T01:58:41.8125234Z [ RUN      ] MemDependency.MemDependencyCheckerComputeReduce
2022-11-23T01:58:41.8136181Z [       OK ] MemDependency.MemDependencyCheckerComputeReduce (1 ms)
2022-11-23T01:58:41.8136817Z [ RUN      ] MemDependency.MemDependencyCheckerComputeGEMM
2022-11-23T01:58:41.8301806Z [       OK ] MemDependency.MemDependencyCheckerComputeGEMM (16 ms)
2022-11-23T01:58:41.8302203Z [----------] 31 tests from MemDependency (67 ms total)
2022-11-23T01:58:41.8302364Z 
2022-11-23T01:58:41.8302495Z [----------] 2 tests from Ops
2022-11-23T01:58:41.8302717Z [ RUN      ] Ops.Sum
2022-11-23T01:58:41.8342786Z [       OK ] Ops.Sum (4 ms)
2022-11-23T01:58:41.8343139Z [ RUN      ] Ops.ChannelsLastSum
2022-11-23T01:58:41.9437777Z [       OK ] Ops.ChannelsLastSum (109 ms)
2022-11-23T01:58:41.9438100Z [----------] 2 tests from Ops (113 ms total)
2022-11-23T01:58:41.9438259Z 
2022-11-23T01:58:41.9438410Z [----------] 10 tests from Quantization
2022-11-23T01:58:41.9438710Z [ RUN      ] Quantization.QuantDequantInt8
2022-11-23T01:58:41.9706637Z [       OK ] Quantization.QuantDequantInt8 (26 ms)
2022-11-23T01:58:41.9706998Z [ RUN      ] Quantization.QuantDequantUInt8
2022-11-23T01:58:41.9968867Z [       OK ] Quantization.QuantDequantUInt8 (26 ms)
2022-11-23T01:58:41.9969267Z [ RUN      ] Quantization.QuantDequantUInt8_NLC
2022-11-23T01:58:42.0238760Z [       OK ] Quantization.QuantDequantUInt8_NLC (26 ms)
2022-11-23T01:58:42.0239118Z [ RUN      ] Quantization.QuantAddDequantInt8
2022-11-23T01:58:42.0544525Z [       OK ] Quantization.QuantAddDequantInt8 (30 ms)
2022-11-23T01:58:42.0544940Z [ RUN      ] Quantization.QuantAddDequantUInt8
2022-11-23T01:58:42.0846320Z [       OK ] Quantization.QuantAddDequantUInt8 (30 ms)
2022-11-23T01:58:42.0846736Z [ RUN      ] Quantization.QuantSigmoidDequantUInt8
2022-11-23T01:58:42.1190432Z [       OK ] Quantization.QuantSigmoidDequantUInt8 (34 ms)
2022-11-23T01:58:42.1190899Z [ RUN      ] Quantization.QuantMulDequantUInt8
2022-11-23T01:58:42.1595126Z [       OK ] Quantization.QuantMulDequantUInt8 (40 ms)
2022-11-23T01:58:42.1595936Z [ RUN      ] Quantization.QuantUpsampleNearst2dDequantUInt8
2022-11-23T01:58:42.2055984Z [       OK ] Quantization.QuantUpsampleNearst2dDequantUInt8 (46 ms)
2022-11-23T01:58:42.2056636Z [ RUN      ] Quantization.UpsampleNearst2d
2022-11-23T01:58:42.2353839Z [       OK ] Quantization.UpsampleNearst2d (29 ms)
2022-11-23T01:58:42.2354223Z [ RUN      ] Quantization.QuantCatDequantUInt8
2022-11-23T01:58:42.2963744Z [       OK ] Quantization.QuantCatDequantUInt8 (60 ms)
2022-11-23T01:58:42.2964414Z [----------] 10 tests from Quantization (352 ms total)
2022-11-23T01:58:42.2964701Z 
2022-11-23T01:58:42.2965242Z [----------] 2 tests from BufLiveRange
2022-11-23T01:58:42.2965765Z [ RUN      ] BufLiveRange.SingleRangeLine
2022-11-23T01:58:42.2966178Z [       OK ] BufLiveRange.SingleRangeLine (0 ms)
2022-11-23T01:58:42.2966483Z [ RUN      ] BufLiveRange.MulRangeLine
2022-11-23T01:58:42.2966795Z [       OK ] BufLiveRange.MulRangeLine (0 ms)
2022-11-23T01:58:42.2967101Z [----------] 2 tests from BufLiveRange (0 ms total)
2022-11-23T01:58:42.2967253Z 
2022-11-23T01:58:42.2967404Z [----------] 6 tests from MemPlanning
2022-11-23T01:58:42.2967706Z [ RUN      ] MemPlanning.MemReuseWithTypeCast
2022-11-23T01:58:42.3605640Z [       OK ] MemPlanning.MemReuseWithTypeCast (64 ms)
2022-11-23T01:58:42.3606205Z [ RUN      ] MemPlanning.NoMemReuseForLargerType
2022-11-23T01:58:42.4342313Z [       OK ] MemPlanning.NoMemReuseForLargerType (73 ms)
2022-11-23T01:58:42.4342767Z [ RUN      ] MemPlanning.SameBufSizeMemReuse
2022-11-23T01:58:42.6943456Z [       OK ] MemPlanning.SameBufSizeMemReuse (260 ms)
2022-11-23T01:58:42.6943924Z [ RUN      ] MemPlanning.SameBufSizeMultiMemReuses
2022-11-23T01:58:42.9599934Z [       OK ] MemPlanning.SameBufSizeMultiMemReuses (265 ms)
2022-11-23T01:58:42.9600378Z [ RUN      ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf
2022-11-23T01:58:43.2995332Z [       OK ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf (339 ms)
2022-11-23T01:58:43.2995751Z [ RUN      ] MemPlanning.SmallerBufSizeNonMemReuse
2022-11-23T01:58:43.4474485Z [       OK ] MemPlanning.SmallerBufSizeNonMemReuse (147 ms)
2022-11-23T01:58:43.4475043Z [----------] 6 tests from MemPlanning (1150 ms total)
2022-11-23T01:58:43.4475204Z 
2022-11-23T01:58:43.4475411Z [----------] 45 tests from Reductions
2022-11-23T01:58:43.4475939Z [ RUN      ] Reductions.ReduceSum0D_1
2022-11-23T01:58:43.4476351Z [       OK ] Reductions.ReduceSum0D_1 (0 ms)
2022-11-23T01:58:43.4476674Z [ RUN      ] Reductions.ReduceSum0D_2
2022-11-23T01:58:43.4477074Z [       OK ] Reductions.ReduceSum0D_2 (0 ms)
2022-11-23T01:58:43.4477369Z [ RUN      ] Reductions.ReduceSum1D
2022-11-23T01:58:43.4477658Z [       OK ] Reductions.ReduceSum1D (0 ms)
2022-11-23T01:58:43.4477934Z [ RUN      ] Reductions.ReduceSum2D
2022-11-23T01:58:43.4481795Z [       OK ] Reductions.ReduceSum2D (0 ms)
2022-11-23T01:58:43.4482155Z [ RUN      ] Reductions.ReduceSum3D
2022-11-23T01:58:43.4513447Z [       OK ] Reductions.ReduceSum3D (3 ms)
2022-11-23T01:58:43.4513748Z [ RUN      ] Reductions.ReduceSum10D
2022-11-23T01:58:44.1237508Z [       OK ] Reductions.ReduceSum10D (672 ms)
2022-11-23T01:58:44.1237945Z [ RUN      ] Reductions.ReduceProduct
2022-11-23T01:58:44.1240492Z [       OK ] Reductions.ReduceProduct (0 ms)
2022-11-23T01:58:44.1241030Z [ RUN      ] Reductions.ReduceMax
2022-11-23T01:58:44.1245147Z [       OK ] Reductions.ReduceMax (0 ms)
2022-11-23T01:58:44.1245565Z [ RUN      ] Reductions.ReduceMinCustomInitializer
2022-11-23T01:58:44.1246759Z [       OK ] Reductions.ReduceMinCustomInitializer (0 ms)
2022-11-23T01:58:44.1247287Z [ RUN      ] Reductions.ReduceAnyAll
2022-11-23T01:58:44.1268932Z [       OK ] Reductions.ReduceAnyAll (2 ms)
2022-11-23T01:58:44.1269251Z [ RUN      ] Reductions.ReduceMatmul2D
2022-11-23T01:58:44.1278351Z [       OK ] Reductions.ReduceMatmul2D (0 ms)
2022-11-23T01:58:44.1278682Z [ RUN      ] Reductions.ReduceRfactorLike
2022-11-23T01:58:44.1289918Z [       OK ] Reductions.ReduceRfactorLike (1 ms)
2022-11-23T01:58:44.1290226Z [ RUN      ] Reductions.ReduceAsProducer
2022-11-23T01:58:44.1312259Z [       OK ] Reductions.ReduceAsProducer (2 ms)
2022-11-23T01:58:44.1312575Z [ RUN      ] Reductions.ReduceAsConsumer
2022-11-23T01:58:44.1347549Z [       OK ] Reductions.ReduceAsConsumer (3 ms)
2022-11-23T01:58:44.1347852Z [ RUN      ] Reductions.SplitReduceAxis
2022-11-23T01:58:44.1363865Z [       OK ] Reductions.SplitReduceAxis (1 ms)
2022-11-23T01:58:44.1364188Z [ RUN      ] Reductions.SplitNonReduceAxis
2022-11-23T01:58:44.1397447Z [       OK ] Reductions.SplitNonReduceAxis (3 ms)
2022-11-23T01:58:44.1397819Z [ RUN      ] Reductions.ReorderedReductionInitializer
2022-11-23T01:58:44.1436754Z [       OK ] Reductions.ReorderedReductionInitializer (3 ms)
2022-11-23T01:58:44.1437097Z [ RUN      ] Reductions.ReduceRfactor
2022-11-23T01:58:44.1447689Z [       OK ] Reductions.ReduceRfactor (1 ms)
2022-11-23T01:58:44.1448009Z [ RUN      ] Reductions.Reduce3DRfactorInner
2022-11-23T01:58:44.1574496Z [       OK ] Reductions.Reduce3DRfactorInner (12 ms)
2022-11-23T01:58:44.1574825Z [ RUN      ] Reductions.Reduce3DRfactorOuter
2022-11-23T01:58:44.1705429Z [       OK ] Reductions.Reduce3DRfactorOuter (13 ms)
2022-11-23T01:58:44.1705802Z [ RUN      ] Reductions.ReduceRepeatedInternalRfactor
2022-11-23T01:58:44.3439530Z [       OK ] Reductions.ReduceRepeatedInternalRfactor (173 ms)
2022-11-23T01:58:44.3439916Z [ RUN      ] Reductions.ReduceSplitTail
2022-11-23T01:58:44.3845544Z [       OK ] Reductions.ReduceSplitTail (40 ms)
2022-11-23T01:58:44.3845859Z [ RUN      ] Reductions.ReduceSplitNoTail
2022-11-23T01:58:44.4300032Z [       OK ] Reductions.ReduceSplitNoTail (45 ms)
2022-11-23T01:58:44.4300399Z [ RUN      ] Reductions.ReduceOverSplitTail
2022-11-23T01:58:44.4690923Z [       OK ] Reductions.ReduceOverSplitTail (39 ms)
2022-11-23T01:58:44.4691242Z [ RUN      ] Reductions.ReduceSplitMask
2022-11-23T01:58:44.5187506Z [       OK ] Reductions.ReduceSplitMask (49 ms)
2022-11-23T01:58:44.5187881Z [ RUN      ] Reductions.ReduceSplitNoMask
2022-11-23T01:58:44.5647229Z [       OK ] Reductions.ReduceSplitNoMask (45 ms)
2022-11-23T01:58:44.5647585Z [ RUN      ] Reductions.ReduceOverSplitMask
2022-11-23T01:58:44.6055711Z [       OK ] Reductions.ReduceOverSplitMask (40 ms)
2022-11-23T01:58:44.6056070Z [ RUN      ] Reductions.ReduceSplitRfactor
2022-11-23T01:58:44.6100665Z [       OK ] Reductions.ReduceSplitRfactor (4 ms)
2022-11-23T01:58:44.6101259Z [ RUN      ] Reductions.ReduceOverSplitRfactor
2022-11-23T01:58:44.6114762Z [       OK ] Reductions.ReduceOverSplitRfactor (1 ms)
2022-11-23T01:58:44.6115358Z [ RUN      ] Reductions.ReduceInlineReduction
2022-11-23T01:58:44.6115943Z [       OK ] Reductions.ReduceInlineReduction (0 ms)
2022-11-23T01:58:44.6116552Z [ RUN      ] Reductions.ReduceInlineConsumer
2022-11-23T01:58:44.6206391Z [       OK ] Reductions.ReduceInlineConsumer (9 ms)
2022-11-23T01:58:44.6206786Z [ RUN      ] Reductions.ReduceInlineReducerInternal
2022-11-23T01:58:44.6297864Z [       OK ] Reductions.ReduceInlineReducerInternal (9 ms)
2022-11-23T01:58:44.6298273Z [ RUN      ] Reductions.ReductionCacheAccessesOperatorAxis
2022-11-23T01:58:44.6345882Z [       OK ] Reductions.ReductionCacheAccessesOperatorAxis (4 ms)
2022-11-23T01:58:44.6346309Z [ RUN      ] Reductions.ReductionCacheAccessesOuterReduceAxis
2022-11-23T01:58:44.6390163Z [       OK ] Reductions.ReductionCacheAccessesOuterReduceAxis (4 ms)
2022-11-23T01:58:44.6390603Z [ RUN      ] Reductions.ReductionCacheAccessesInnerReduceAxis
2022-11-23T01:58:44.6437329Z [       OK ] Reductions.ReductionCacheAccessesInnerReduceAxis (4 ms)
2022-11-23T01:58:44.6437735Z [ RUN      ] Reductions.ReductionCacheBodyAccess
2022-11-23T01:58:44.6452877Z [       OK ] Reductions.ReductionCacheBodyAccess (1 ms)
2022-11-23T01:58:44.6453266Z [ RUN      ] Reductions.ReductionCacheConsumerAccess
2022-11-23T01:58:44.6471113Z [       OK ] Reductions.ReductionCacheConsumerAccess (1 ms)
2022-11-23T01:58:44.6471530Z [ RUN      ] Reductions.ReductionSplitCacheConsumerAccess
2022-11-23T01:58:44.6492018Z [       OK ] Reductions.ReductionSplitCacheConsumerAccess (2 ms)
2022-11-23T01:58:44.6492465Z [ RUN      ] Reductions.ReductionReorderCacheConsumerAccess
2022-11-23T01:58:44.6510533Z [       OK ] Reductions.ReductionReorderCacheConsumerAccess (1 ms)
2022-11-23T01:58:44.6510977Z [ RUN      ] Reductions.ReductionRfactorCacheTempOuter
2022-11-23T01:58:44.6687605Z [       OK ] Reductions.ReductionRfactorCacheTempOuter (17 ms)
2022-11-23T01:58:44.6687995Z [ RUN      ] Reductions.ReductionRfactorCacheTempInner
2022-11-23T01:58:44.6829694Z [       OK ] Reductions.ReductionRfactorCacheTempInner (14 ms)
2022-11-23T01:58:44.6830057Z [ RUN      ] Reductions.ReductionVectorize
2022-11-23T01:58:44.6841106Z [       OK ] Reductions.ReductionVectorize (1 ms)
2022-11-23T01:58:44.6841711Z [ RUN      ] Reductions.ReductionVectorizeInner
2022-11-23T01:58:44.6842500Z [       OK ] Reductions.ReductionVectorizeInner (0 ms)
2022-11-23T01:58:44.6842863Z [ RUN      ] Reductions.ReductionVectorizeRfactor
2022-11-23T01:58:44.6855775Z [       OK ] Reductions.ReductionVectorizeRfactor (1 ms)
2022-11-23T01:58:44.6856105Z [ RUN      ] Reductions.InitFunction
2022-11-23T01:58:44.6858076Z [       OK ] Reductions.InitFunction (0 ms)
2022-11-23T01:58:44.6858698Z [----------] 45 tests from Reductions (1238 ms total)
2022-11-23T01:58:44.6858960Z 
2022-11-23T01:58:44.6859193Z [----------] 69 tests from Registerizer
2022-11-23T01:58:44.6859644Z [ RUN      ] Registerizer.RegisterizerSimple
2022-11-23T01:58:44.6860384Z [       OK ] Registerizer.RegisterizerSimple (0 ms)
2022-11-23T01:58:44.6860801Z [ RUN      ] Registerizer.RegisterizerLoop
2022-11-23T01:58:44.6862054Z [       OK ] Registerizer.RegisterizerLoop (0 ms)
2022-11-23T01:58:44.6862414Z [ RUN      ] Registerizer.RegisterizerLoopFixedLoad
2022-11-23T01:58:44.6863766Z [       OK ] Registerizer.RegisterizerLoopFixedLoad (0 ms)
2022-11-23T01:58:44.6864137Z [ RUN      ] Registerizer.RegisterizerLoopInternal
2022-11-23T01:58:44.6865596Z [       OK ] Registerizer.RegisterizerLoopInternal (0 ms)
2022-11-23T01:58:44.6866006Z [ RUN      ] Registerizer.RegisterizerLoopInternalLoadOverlap
2022-11-23T01:58:44.6867855Z [       OK ] Registerizer.RegisterizerLoopInternalLoadOverlap (0 ms)
2022-11-23T01:58:44.6868272Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeated
2022-11-23T01:58:44.6871834Z [       OK ] Registerizer.RegisterizerLoopInternalRepeated (0 ms)
2022-11-23T01:58:44.6872309Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar
2022-11-23T01:58:44.6875982Z [       OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar (0 ms)
2022-11-23T01:58:44.6876498Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther
2022-11-23T01:58:44.6880312Z [       OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther (0 ms)
2022-11-23T01:58:44.6880961Z [ RUN      ] Registerizer.RegisterizerMultiVar
2022-11-23T01:58:44.6894049Z [       OK ] Registerizer.RegisterizerMultiVar (1 ms)
2022-11-23T01:58:44.6894670Z [ RUN      ] Registerizer.RegisterizerVariableLoad
2022-11-23T01:58:44.6896786Z [       OK ] Registerizer.RegisterizerVariableLoad (0 ms)
2022-11-23T01:58:44.6897426Z [ RUN      ] Registerizer.RegisterizerSymbolicIndices
2022-11-23T01:58:44.6898536Z [       OK ] Registerizer.RegisterizerSymbolicIndices (0 ms)
2022-11-23T01:58:44.6899154Z [ RUN      ] Registerizer.RegisterizerMultiLoop
2022-11-23T01:58:44.6901260Z [       OK ] Registerizer.RegisterizerMultiLoop (0 ms)
2022-11-23T01:58:44.6901877Z [ RUN      ] Registerizer.RegisterizerRepeated
2022-11-23T01:58:44.6904559Z [       OK ] Registerizer.RegisterizerRepeated (0 ms)
2022-11-23T01:58:44.6905171Z [ RUN      ] Registerizer.RegisterizerNoLoads
2022-11-23T01:58:44.6906047Z [       OK ] Registerizer.RegisterizerNoLoads (0 ms)
2022-11-23T01:58:44.6906684Z [ RUN      ] Registerizer.RegisterizerNoRepeatedStores
2022-11-23T01:58:44.6907922Z [       OK ] Registerizer.RegisterizerNoRepeatedStores (0 ms)
2022-11-23T01:58:44.6908567Z [ RUN      ] Registerizer.RegisterizerMultiVarOverlap
2022-11-23T01:58:44.6911665Z [       OK ] Registerizer.RegisterizerMultiVarOverlap (0 ms)
2022-11-23T01:58:44.6912311Z [ RUN      ] Registerizer.RegisterizerAllocs
2022-11-23T01:58:44.6914890Z [       OK ] Registerizer.RegisterizerAllocs (0 ms)
2022-11-23T01:58:44.6915435Z [ RUN      ] Registerizer.RegisterizerNoInitializer
2022-11-23T01:58:44.6916356Z [       OK ] Registerizer.RegisterizerNoInitializer (0 ms)
2022-11-23T01:58:44.6916818Z [ RUN      ] Registerizer.RegisterizerNoInitializerLoopVar
2022-11-23T01:58:44.6917906Z [       OK ] Registerizer.RegisterizerNoInitializerLoopVar (0 ms)
2022-11-23T01:58:44.6918350Z [ RUN      ] Registerizer.RegisterizerLoadThenStore
2022-11-23T01:58:44.6920305Z [       OK ] Registerizer.RegisterizerLoadThenStore (0 ms)
2022-11-23T01:58:44.6920724Z [ RUN      ] Registerizer.RegisterizerParallelized
2022-11-23T01:58:44.6929932Z [       OK ] Registerizer.RegisterizerParallelized (0 ms)
2022-11-23T01:58:44.6930371Z [ RUN      ] Registerizer.RegisterizerConditionAfter
2022-11-23T01:58:44.6932139Z [       OK ] Registerizer.RegisterizerConditionAfter (0 ms)
2022-11-23T01:58:44.6932581Z [ RUN      ] Registerizer.RegisterizerConditionBefore
2022-11-23T01:58:44.6934415Z [       OK ] Registerizer.RegisterizerConditionBefore (0 ms)
2022-11-23T01:58:44.6934809Z [ RUN      ] Registerizer.RegisterizerConditionInside
2022-11-23T01:58:44.6936941Z [       OK ] Registerizer.RegisterizerConditionInside (0 ms)
2022-11-23T01:58:44.6937378Z [ RUN      ] Registerizer.RegisterizerConditionInsideOverlap1
2022-11-23T01:58:44.6940046Z [       OK ] Registerizer.RegisterizerConditionInsideOverlap1 (0 ms)
2022-11-23T01:58:44.6940474Z [ RUN      ] Registerizer.RegisterizerConditionInsideOverlap2
2022-11-23T01:58:44.6944101Z [       OK ] Registerizer.RegisterizerConditionInsideOverlap2 (0 ms)
2022-11-23T01:58:44.6944530Z [ RUN      ] Registerizer.RegisterizerConditionHidden
2022-11-23T01:58:44.6945748Z [       OK ] Registerizer.RegisterizerConditionHidden (0 ms)
2022-11-23T01:58:44.6946138Z [ RUN      ] Registerizer.RegisterizerConditionUnhidden
2022-11-23T01:58:44.6948185Z [       OK ] Registerizer.RegisterizerConditionUnhidden (0 ms)
2022-11-23T01:58:44.6948576Z [ RUN      ] Registerizer.RegisterizerCondCondition
2022-11-23T01:58:44.6950385Z [       OK ] Registerizer.RegisterizerCondCondition (0 ms)
2022-11-23T01:58:44.6950791Z [ RUN      ] Registerizer.RegisterizerCondConditionUnhidden
2022-11-23T01:58:44.6952814Z [       OK ] Registerizer.RegisterizerCondConditionUnhidden (0 ms)
2022-11-23T01:58:44.6953227Z [ RUN      ] Registerizer.RegisterizerIfThenElseHidden
2022-11-23T01:58:44.6957029Z [       OK ] Registerizer.RegisterizerIfThenElseHidden (0 ms)
2022-11-23T01:58:44.6957431Z [ RUN      ] Registerizer.RegisterizerIfThenElseUnhidden
2022-11-23T01:58:44.6961642Z [       OK ] Registerizer.RegisterizerIfThenElseUnhidden (0 ms)
2022-11-23T01:58:44.6962028Z [ RUN      ] Registerizer.RegisterizerIfThenElseNested
2022-11-23T01:58:44.6963933Z [       OK ] Registerizer.RegisterizerIfThenElseNested (0 ms)
2022-11-23T01:58:44.6964429Z [ RUN      ] Registerizer.RegisterizerIfThenElseInternal
2022-11-23T01:58:44.6966669Z [       OK ] Registerizer.RegisterizerIfThenElseInternal (0 ms)
2022-11-23T01:58:44.6967087Z [ RUN      ] Registerizer.RegisterizerIfThenElseCondition
2022-11-23T01:58:44.6968556Z [       OK ] Registerizer.RegisterizerIfThenElseCondition (0 ms)
2022-11-23T01:58:44.6968995Z [ RUN      ] Registerizer.RegisterizerIfThenElseConditionUnhidden
2022-11-23T01:58:44.6970571Z [       OK ] Registerizer.RegisterizerIfThenElseConditionUnhidden (0 ms)
2022-11-23T01:58:44.6970991Z [ RUN      ] Registerizer.RegisterizerConditionBranchOnly
2022-11-23T01:58:44.6982557Z [       OK ] Registerizer.RegisterizerConditionBranchOnly (1 ms)
2022-11-23T01:58:44.6982949Z [ RUN      ] Registerizer.RegisterizerCondIfThenElse
2022-11-23T01:58:44.6984748Z [       OK ] Registerizer.RegisterizerCondIfThenElse (0 ms)
2022-11-23T01:58:44.6985136Z [ RUN      ] Registerizer.RegisterizerIfThenElseLoop
2022-11-23T01:58:44.6986509Z [       OK ] Registerizer.RegisterizerIfThenElseLoop (0 ms)
2022-11-23T01:58:44.6986903Z [ RUN      ] Registerizer.RegisterizerIfThenElseLoopCut
2022-11-23T01:58:44.6988400Z [       OK ] Registerizer.RegisterizerIfThenElseLoopCut (0 ms)
2022-11-23T01:58:44.6988788Z [ RUN      ] Registerizer.RegisterizerPartialAfter
2022-11-23T01:58:44.6991209Z [       OK ] Registerizer.RegisterizerPartialAfter (0 ms)
2022-11-23T01:58:44.6991584Z [ RUN      ] Registerizer.RegisterizerPartialBefore
2022-11-23T01:58:44.6994028Z [       OK ] Registerizer.RegisterizerPartialBefore (0 ms)
2022-11-23T01:58:44.6994467Z [ RUN      ] Registerizer.RegisterizerPartialInside
2022-11-23T01:58:44.6997832Z [       OK ] Registerizer.RegisterizerPartialInside (0 ms)
2022-11-23T01:58:44.6998205Z [ RUN      ] Registerizer.RegisterizerPartialCondition
2022-11-23T01:58:44.7002052Z [       OK ] Registerizer.RegisterizerPartialCondition (0 ms)
2022-11-23T01:58:44.7002503Z [ RUN      ] Registerizer.RegisterizerPartialConditionInternalCut
2022-11-23T01:58:44.7003753Z [       OK ] Registerizer.RegisterizerPartialConditionInternalCut (0 ms)
2022-11-23T01:58:44.7004259Z [ RUN      ] Registerizer.RegisterizerPartialConditionInternalStart
2022-11-23T01:58:44.7005204Z [       OK ] Registerizer.RegisterizerPartialConditionInternalStart (0 ms)
2022-11-23T01:58:44.7005647Z [ RUN      ] Registerizer.RegisterizerPartialOverlapsTwo
2022-11-23T01:58:44.7008196Z [       OK ] Registerizer.RegisterizerPartialOverlapsTwo (0 ms)
2022-11-23T01:58:44.7008571Z [ RUN      ] Registerizer.RegisterizerNestedBlocks
2022-11-23T01:58:44.7010247Z [       OK ] Registerizer.RegisterizerNestedBlocks (0 ms)
2022-11-23T01:58:44.7010636Z [ RUN      ] Registerizer.RegisterizerNestedConditions
2022-11-23T01:58:44.7012017Z [       OK ] Registerizer.RegisterizerNestedConditions (0 ms)
2022-11-23T01:58:44.7012437Z [ RUN      ] Registerizer.RegisterizerNestedConditionsUnhidden
2022-11-23T01:58:44.7014188Z [       OK ] Registerizer.RegisterizerNestedConditionsUnhidden (0 ms)
2022-11-23T01:58:44.7014729Z [ RUN      ] Registerizer.RegisterizerNestedConditionsHiddenFirst
2022-11-23T01:58:44.7017139Z [       OK ] Registerizer.RegisterizerNestedConditionsHiddenFirst (0 ms)
2022-11-23T01:58:44.7017603Z [ RUN      ] Registerizer.RegisterizerNestedConditionsHiddenSecond
2022-11-23T01:58:44.7019964Z [       OK ] Registerizer.RegisterizerNestedConditionsHiddenSecond (0 ms)
2022-11-23T01:58:44.7020435Z [ RUN      ] Registerizer.RegisterizerNestedConditionsCut
2022-11-23T01:58:44.7021617Z [       OK ] Registerizer.RegisterizerNestedConditionsCut (0 ms)
2022-11-23T01:58:44.7022136Z [ RUN      ] Registerizer.RegisterizerNestedConditionLoopHidden
2022-11-23T01:58:44.7024270Z [       OK ] Registerizer.RegisterizerNestedConditionLoopHidden (0 ms)
2022-11-23T01:58:44.7024928Z [ RUN      ] Registerizer.RegisterizerNestedConditionThreeDeep
2022-11-23T01:58:44.7029908Z [       OK ] Registerizer.RegisterizerNestedConditionThreeDeep (0 ms)
2022-11-23T01:58:44.7030548Z [ RUN      ] Registerizer.RegisterizerNestedLoopSimple
2022-11-23T01:58:44.7031598Z [       OK ] Registerizer.RegisterizerNestedLoopSimple (0 ms)
2022-11-23T01:58:44.7032223Z [ RUN      ] Registerizer.RegisterizerHiddenAccessYes
2022-11-23T01:58:44.7034771Z [       OK ] Registerizer.RegisterizerHiddenAccessYes (0 ms)
2022-11-23T01:58:44.7035395Z [ RUN      ] Registerizer.RegisterizerHiddenAccessNo
2022-11-23T01:58:44.7037564Z [       OK ] Registerizer.RegisterizerHiddenAccessNo (0 ms)
2022-11-23T01:58:44.7038201Z [ RUN      ] Registerizer.RegisterizerHiddenAccessMultiLoop
2022-11-23T01:58:44.7041205Z [       OK ] Registerizer.RegisterizerHiddenAccessMultiLoop (0 ms)
2022-11-23T01:58:44.7041855Z [ RUN      ] Registerizer.RegisterizerTwoConditionalLoops
2022-11-23T01:58:44.7043797Z [       OK ] Registerizer.RegisterizerTwoConditionalLoops (0 ms)
2022-11-23T01:58:44.7044460Z [ RUN      ] Registerizer.RegisterizerTwoConditionalLoopsCut
2022-11-23T01:58:44.7046792Z [       OK ] Registerizer.RegisterizerTwoConditionalLoopsCut (0 ms)
2022-11-23T01:58:44.7047439Z [ RUN      ] Registerizer.RegisterizerLoopLetVar
2022-11-23T01:58:44.7048271Z [       OK ] Registerizer.RegisterizerLoopLetVar (0 ms)
2022-11-23T01:58:44.7048912Z [ RUN      ] Registerizer.RegisterizerLoopLetVarOuter
2022-11-23T01:58:44.7049727Z [       OK ] Registerizer.RegisterizerLoopLetVarOuter (0 ms)
2022-11-23T01:58:44.7050344Z [ RUN      ] Registerizer.RegisterizerMultiDim
2022-11-23T01:58:44.7051548Z [       OK ] Registerizer.RegisterizerMultiDim (0 ms)
2022-11-23T01:58:44.7052186Z [ RUN      ] Registerizer.RegisterizerMultiDimPartial
2022-11-23T01:58:44.7054126Z [       OK ] Registerizer.RegisterizerMultiDimPartial (0 ms)
2022-11-23T01:58:44.7054747Z [ RUN      ] Registerizer.RegisterizerMultiDimOverlap
2022-11-23T01:58:44.7056935Z [       OK ] Registerizer.RegisterizerMultiDimOverlap (0 ms)
2022-11-23T01:58:44.7057627Z [ RUN      ] Registerizer.RegisterizerMultiDimPartialOverlap
2022-11-23T01:58:44.7059770Z [       OK ] Registerizer.RegisterizerMultiDimPartialOverlap (0 ms)
2022-11-23T01:58:44.7060400Z [ RUN      ] Registerizer.RegisterizerMultiDim3DReduction1
2022-11-23T01:58:44.7062856Z [       OK ] Registerizer.RegisterizerMultiDim3DReduction1 (0 ms)
2022-11-23T01:58:44.7063502Z [ RUN      ] Registerizer.RegisterizerMultiDim3DReduction2
2022-11-23T01:58:44.7066241Z [       OK ] Registerizer.RegisterizerMultiDim3DReduction2 (0 ms)
2022-11-23T01:58:44.7066910Z [----------] 69 tests from Registerizer (20 ms total)
2022-11-23T01:58:44.7067078Z 
2022-11-23T01:58:44.7067278Z [----------] 92 tests from Simplify
2022-11-23T01:58:44.7067651Z [ RUN      ] Simplify.ConstantFoldSimple
2022-11-23T01:58:44.7068609Z [       OK ] Simplify.ConstantFoldSimple (0 ms)
2022-11-23T01:58:44.7069101Z [ RUN      ] Simplify.ConstantFoldTwoLayer
2022-11-23T01:58:44.7069674Z [       OK ] Simplify.ConstantFoldTwoLayer (0 ms)
2022-11-23T01:58:44.7070231Z [ RUN      ] Simplify.ConstantFoldShifts
2022-11-23T01:58:44.7070786Z [       OK ] Simplify.ConstantFoldShifts (0 ms)
2022-11-23T01:58:44.7071323Z [ RUN      ] Simplify.ConstantFoldBitwise
2022-11-23T01:58:44.7071885Z [       OK ] Simplify.ConstantFoldBitwise (0 ms)
2022-11-23T01:58:44.7072413Z [ RUN      ] Simplify.ConstantFoldMultiOp
2022-11-23T01:58:44.7073075Z [       OK ] Simplify.ConstantFoldMultiOp (0 ms)
2022-11-23T01:58:44.7073606Z [ RUN      ] Simplify.ConstantFoldMinMax
2022-11-23T01:58:44.7074190Z [       OK ] Simplify.ConstantFoldMinMax (0 ms)
2022-11-23T01:58:44.7074810Z [ RUN      ] Simplify.ConstantFoldIntrinsics
2022-11-23T01:58:44.7075410Z [       OK ] Simplify.ConstantFoldIntrinsics (0 ms)
2022-11-23T01:58:44.7075970Z [ RUN      ] Simplify.ConstantFoldCastToBool
2022-11-23T01:58:44.7076539Z [       OK ] Simplify.ConstantFoldCastToBool (0 ms)
2022-11-23T01:58:44.7077107Z [ RUN      ] Simplify.ConstantFoldWithVar
2022-11-23T01:58:44.7077683Z [       OK ] Simplify.ConstantFoldWithVar (0 ms)
2022-11-23T01:58:44.7078232Z [ RUN      ] Simplify.ConditionalSelectFoldSimple
2022-11-23T01:58:44.7078630Z [       OK ] Simplify.ConditionalSelectFoldSimple (0 ms)
2022-11-23T01:58:44.7079272Z [ RUN      ] Simplify.ConditionalSelectFoldTwoLayer
2022-11-23T01:58:44.7079874Z [       OK ] Simplify.ConditionalSelectFoldTwoLayer (0 ms)
2022-11-23T01:58:44.7080231Z [ RUN      ] Simplify.ConditionalSelectFoldWithVar
2022-11-23T01:58:44.7080591Z [       OK ] Simplify.ConditionalSelectFoldWithVar (0 ms)
2022-11-23T01:58:44.7080911Z [ RUN      ] Simplify.UnFoldableExpr
2022-11-23T01:58:44.7081195Z [       OK ] Simplify.UnFoldableExpr (0 ms)
2022-11-23T01:58:44.7081472Z [ RUN      ] Simplify.HashSimple
2022-11-23T01:58:44.7081746Z [       OK ] Simplify.HashSimple (0 ms)
2022-11-23T01:58:44.7082033Z [ RUN      ] Simplify.HashEquivalence
2022-11-23T01:58:44.7082317Z [       OK ] Simplify.HashEquivalence (0 ms)
2022-11-23T01:58:44.7082618Z [ RUN      ] Simplify.HashEquivalenceRand
2022-11-23T01:58:44.7082935Z [       OK ] Simplify.HashEquivalenceRand (0 ms)
2022-11-23T01:58:44.7083257Z [ RUN      ] Simplify.HashEquivalenceAfterFolding
2022-11-23T01:58:44.7083613Z [       OK ] Simplify.HashEquivalenceAfterFolding (0 ms)
2022-11-23T01:58:44.7083942Z [ RUN      ] Simplify.HashDifferenceTypes
2022-11-23T01:58:44.7084247Z [       OK ] Simplify.HashDifferenceTypes (0 ms)
2022-11-23T01:58:44.7084557Z [ RUN      ] Simplify.HashLargeExpression
2022-11-23T01:58:44.7084875Z [       OK ] Simplify.HashLargeExpression (0 ms)
2022-11-23T01:58:44.7085183Z [ RUN      ] Simplify.HashForLoopOptions
2022-11-23T01:58:44.7085489Z [       OK ] Simplify.HashForLoopOptions (0 ms)
2022-11-23T01:58:44.7085776Z [ RUN      ] Simplify.SimplifyAdd
2022-11-23T01:58:44.7100460Z [       OK ] Simplify.SimplifyAdd (2 ms)
2022-11-23T01:58:44.7100739Z [ RUN      ] Simplify.SimplifySub
2022-11-23T01:58:44.7101023Z [       OK ] Simplify.SimplifySub (0 ms)
2022-11-23T01:58:44.7101315Z [ RUN      ] Simplify.SimplifyMultiLayer
2022-11-23T01:58:44.7109332Z [       OK ] Simplify.SimplifyMultiLayer (0 ms)
2022-11-23T01:58:44.7109898Z [ RUN      ] Simplify.SimplifyMultiTerm
2022-11-23T01:58:44.7110261Z [       OK ] Simplify.SimplifyMultiTerm (0 ms)
2022-11-23T01:58:44.7110798Z [ RUN      ] Simplify.SimplifyCasts
2022-11-23T01:58:44.7111385Z [       OK ] Simplify.SimplifyCasts (0 ms)
2022-11-23T01:58:44.7111709Z [ RUN      ] Simplify.SimplifyEliminatesNoOps
2022-11-23T01:58:44.7112052Z [       OK ] Simplify.SimplifyEliminatesNoOps (0 ms)
2022-11-23T01:58:44.7112355Z [ RUN      ] Simplify.SimplifyMultiVar
2022-11-23T01:58:44.7112657Z [       OK ] Simplify.SimplifyMultiVar (0 ms)
2022-11-23T01:58:44.7112966Z [ RUN      ] Simplify.SimplifyEliminatesVar
2022-11-23T01:58:44.7124414Z [       OK ] Simplify.SimplifyEliminatesVar (1 ms)
2022-11-23T01:58:44.7124950Z [ RUN      ] Simplify.SimplifyAdds
2022-11-23T01:58:44.7127498Z [       OK ] Simplify.SimplifyAdds (0 ms)
2022-11-23T01:58:44.7128145Z [ RUN      ] Simplify.SimplifyMuls
2022-11-23T01:58:44.7132176Z [       OK ] Simplify.SimplifyMuls (0 ms)
2022-11-23T01:58:44.7132690Z [ RUN      ] Simplify.SimplifySubs
2022-11-23T01:58:44.7139473Z [       OK ] Simplify.SimplifySubs (0 ms)
2022-11-23T01:58:44.7139981Z [ RUN      ] Simplify.SimplifyDiv
2022-11-23T01:58:44.7140474Z [       OK ] Simplify.SimplifyDiv (0 ms)
2022-11-23T01:58:44.7141056Z [ RUN      ] Simplify.SimplifyDivWithLoopContext0
2022-11-23T01:58:44.7141711Z [       OK ] Simplify.SimplifyDivWithLoopContext0 (0 ms)
2022-11-23T01:58:44.7142335Z [ RUN      ] Simplify.SimplifyDivWithLoopContext1
2022-11-23T01:58:44.7143839Z [       OK ] Simplify.SimplifyDivWithLoopContext1 (0 ms)
2022-11-23T01:58:44.7144487Z [ RUN      ] Simplify.SimplifyDivWithLoopContext2
2022-11-23T01:58:44.7146992Z [       OK ] Simplify.SimplifyDivWithLoopContext2 (0 ms)
2022-11-23T01:58:44.7147640Z [ RUN      ] Simplify.SimplifyDivWithLoopContext3
2022-11-23T01:58:44.7148300Z [       OK ] Simplify.SimplifyDivWithLoopContext3 (0 ms)
2022-11-23T01:58:44.7148942Z [ RUN      ] Simplify.SimplifyDivWithLoopContext4
2022-11-23T01:58:44.7151016Z [       OK ] Simplify.SimplifyDivWithLoopContext4 (0 ms)
2022-11-23T01:58:44.7151654Z [ RUN      ] Simplify.SimplifyDivWithLoopContext5
2022-11-23T01:58:44.7154738Z [       OK ] Simplify.SimplifyDivWithLoopContext5 (0 ms)
2022-11-23T01:58:44.7155385Z [ RUN      ] Simplify.SimplifyDivWithLoopContext6
2022-11-23T01:58:44.7158700Z [       OK ] Simplify.SimplifyDivWithLoopContext6 (0 ms)
2022-11-23T01:58:44.7159372Z [ RUN      ] Simplify.SimplifyDivWithLoopContext7
2022-11-23T01:58:44.7159998Z [       OK ] Simplify.SimplifyDivWithLoopContext7 (0 ms)
2022-11-23T01:58:44.7160652Z [ RUN      ] Simplify.SimplifyModWithLoopContext0
2022-11-23T01:58:44.7161299Z [       OK ] Simplify.SimplifyModWithLoopContext0 (0 ms)
2022-11-23T01:58:44.7161946Z [ RUN      ] Simplify.SimplifyModWithLoopContext1
2022-11-23T01:58:44.7164021Z [       OK ] Simplify.SimplifyModWithLoopContext1 (0 ms)
2022-11-23T01:58:44.7164659Z [ RUN      ] Simplify.SimplifyModWithLoopContext2
2022-11-23T01:58:44.7166586Z [       OK ] Simplify.SimplifyModWithLoopContext2 (0 ms)
2022-11-23T01:58:44.7167237Z [ RUN      ] Simplify.SimplifyModWithLoopContext3
2022-11-23T01:58:44.7167895Z [       OK ] Simplify.SimplifyModWithLoopContext3 (0 ms)
2022-11-23T01:58:44.7168521Z [ RUN      ] Simplify.SimplifyModWithLoopContext4
2022-11-23T01:58:44.7171221Z [       OK ] Simplify.SimplifyModWithLoopContext4 (0 ms)
2022-11-23T01:58:44.7171884Z [ RUN      ] Simplify.SimplifyModWithLoopContext5
2022-11-23T01:58:44.7174706Z [       OK ] Simplify.SimplifyModWithLoopContext5 (0 ms)
2022-11-23T01:58:44.7175351Z [ RUN      ] Simplify.SimplifyModWithLoopContext6
2022-11-23T01:58:44.7178716Z [       OK ] Simplify.SimplifyModWithLoopContext6 (0 ms)
2022-11-23T01:58:44.7179312Z [ RUN      ] Simplify.SimplifyModWithLoopContext7
2022-11-23T01:58:44.7179821Z [       OK ] Simplify.SimplifyModWithLoopContext7 (0 ms)
2022-11-23T01:58:44.7180125Z [ RUN      ] Simplify.SimplifyMod
2022-11-23T01:58:44.7187844Z [       OK ] Simplify.SimplifyMod (0 ms)
2022-11-23T01:58:44.7188376Z [ RUN      ] Simplify.SimplifyMultiOp
2022-11-23T01:58:44.7190704Z [       OK ] Simplify.SimplifyMultiOp (0 ms)
2022-11-23T01:58:44.7191251Z [ RUN      ] Simplify.SimplifyManyOps
2022-11-23T01:58:44.7194771Z [       OK ] Simplify.SimplifyManyOps (0 ms)
2022-11-23T01:58:44.7195352Z [ RUN      ] Simplify.SimplifyFactorization
2022-11-23T01:58:44.7200527Z [       OK ] Simplify.SimplifyFactorization (0 ms)
2022-11-23T01:58:44.7201276Z [ RUN      ] Simplify.SimplifyFactorizeUneven
2022-11-23T01:58:44.7201892Z [       OK ] Simplify.SimplifyFactorizeUneven (0 ms)
2022-11-23T01:58:44.7202437Z [ RUN      ] Simplify.SimplifyDeeperTerms
2022-11-23T01:58:44.7203420Z [       OK ] Simplify.SimplifyDeeperTerms (0 ms)
2022-11-23T01:58:44.7204017Z [ RUN      ] Simplify.SimplifyDeeperDifference
2022-11-23T01:58:44.7204748Z [       OK ] Simplify.SimplifyDeeperDifference (0 ms)
2022-11-23T01:58:44.7205340Z [ RUN      ] Simplify.SimplifyFoldComplexDifference
2022-11-23T01:58:44.7206226Z [       OK ] Simplify.SimplifyFoldComplexDifference (0 ms)
2022-11-23T01:58:44.7206822Z [ RUN      ] Simplify.SimplifyIfComponents
2022-11-23T01:58:44.7207491Z [       OK ] Simplify.SimplifyIfComponents (0 ms)
2022-11-23T01:58:44.7208028Z [ RUN      ] Simplify.SimplifyOpaqueTerms
2022-11-23T01:58:44.7208711Z [       OK ] Simplify.SimplifyOpaqueTerms (0 ms)
2022-11-23T01:58:44.7209297Z [ RUN      ] Simplify.SimplifySymbolicMinMax
2022-11-23T01:58:44.7211044Z [       OK ] Simplify.SimplifySymbolicMinMax (0 ms)
2022-11-23T01:58:44.7211620Z [ RUN      ] Simplify.SimplifyNestedMax
2022-11-23T01:58:44.7225205Z [       OK ] Simplify.SimplifyNestedMax (1 ms)
2022-11-23T01:58:44.7225775Z [ RUN      ] Simplify.SimplifyNestedMin
2022-11-23T01:58:44.7238728Z [       OK ] Simplify.SimplifyNestedMin (1 ms)
2022-11-23T01:58:44.7239325Z [ RUN      ] Simplify.SimplifyWontReorderFloat
2022-11-23T01:58:44.7241169Z [       OK ] Simplify.SimplifyWontReorderFloat (0 ms)
2022-11-23T01:58:44.7241780Z [ RUN      ] Simplify.SimplifyRoundModPattern
2022-11-23T01:58:44.7250780Z [       OK ] Simplify.SimplifyRoundModPattern (0 ms)
2022-11-23T01:58:44.7251493Z [ RUN      ] Simplify.SimplifyRoundModPatternFactorization
2022-11-23T01:58:44.7255757Z [       OK ] Simplify.SimplifyRoundModPatternFactorization (0 ms)
2022-11-23T01:58:44.7256644Z [ RUN      ] Simplify.SimplifyRoundModPatternMultivar
2022-11-23T01:58:44.7260776Z [       OK ] Simplify.SimplifyRoundModPatternMultivar (0 ms)
2022-11-23T01:58:44.7261454Z [ RUN      ] Simplify.SimplifyModRoundModPattern
2022-11-23T01:58:44.7266539Z [       OK ] Simplify.SimplifyModRoundModPattern (0 ms)
2022-11-23T01:58:44.7267261Z [ RUN      ] Simplify.SimplifyModRoundModPatternFactorization
2022-11-23T01:58:44.7275067Z [       OK ] Simplify.SimplifyModRoundModPatternFactorization (0 ms)
2022-11-23T01:58:44.7275841Z [ RUN      ] Simplify.SimplifyModRoundModPatternMultivar
2022-11-23T01:58:44.7290053Z [       OK ] Simplify.SimplifyModRoundModPatternMultivar (1 ms)
2022-11-23T01:58:44.7290782Z [ RUN      ] Simplify.SimplifyDivisionScalarFactorization
2022-11-23T01:58:44.7291527Z [       OK ] Simplify.SimplifyDivisionScalarFactorization (0 ms)
2022-11-23T01:58:44.7292209Z [ RUN      ] Simplify.SimplifyConstantBranches
2022-11-23T01:58:44.7292805Z [       OK ] Simplify.SimplifyConstantBranches (0 ms)
2022-11-23T01:58:44.7293369Z [ RUN      ] Simplify.SimplifyConstantCond
2022-11-23T01:58:44.7294084Z [       OK ] Simplify.SimplifyConstantCond (0 ms)
2022-11-23T01:58:44.7294701Z [ RUN      ] Simplify.SimplifyEliminateEmptyCond
2022-11-23T01:58:44.7295339Z [       OK ] Simplify.SimplifyEliminateEmptyCond (0 ms)
2022-11-23T01:58:44.7295992Z [ RUN      ] Simplify.SimplifyConstantComparisons
2022-11-23T01:58:44.7300634Z [       OK ] Simplify.SimplifyConstantComparisons (0 ms)
2022-11-23T01:58:44.7301295Z [ RUN      ] Simplify.SimplifySymbolicComparisons
2022-11-23T01:58:44.7308511Z [       OK ] Simplify.SimplifySymbolicComparisons (0 ms)
2022-11-23T01:58:44.7309185Z [ RUN      ] Simplify.SimplifyEliminateZeroLengthFor
2022-11-23T01:58:44.7310003Z [       OK ] Simplify.SimplifyEliminateZeroLengthFor (0 ms)
2022-11-23T01:58:44.7310595Z [ RUN      ] Simplify.SimplifyOneLoopFor
2022-11-23T01:58:44.7311322Z [       OK ] Simplify.SimplifyOneLoopFor (0 ms)
2022-11-23T01:58:44.7311949Z [ RUN      ] Simplify.SimplifyForWontLoseLoopOptions
2022-11-23T01:58:44.7312612Z [       OK ] Simplify.SimplifyForWontLoseLoopOptions (0 ms)
2022-11-23T01:58:44.7313231Z [ RUN      ] Simplify.SimplifyMultilevelFor
2022-11-23T01:58:44.7313805Z [       OK ] Simplify.SimplifyMultilevelFor (0 ms)
2022-11-23T01:58:44.7314433Z [ RUN      ] Simplify.SimplifyForCleansUp
2022-11-23T01:58:44.7317499Z [       OK ] Simplify.SimplifyForCleansUp (0 ms)
2022-11-23T01:58:44.7318080Z [ RUN      ] Simplify.SimplifyEliminateEmptyFor
2022-11-23T01:58:44.7318977Z [       OK ] Simplify.SimplifyEliminateEmptyFor (0 ms)
2022-11-23T01:58:44.7319577Z [ RUN      ] Simplify.SimplifyFlattenBlock
2022-11-23T01:58:44.7320118Z [       OK ] Simplify.SimplifyFlattenBlock (0 ms)
2022-11-23T01:58:44.7320708Z [ RUN      ] Simplify.SimplifyEliminateZeroLengthAlloc
2022-11-23T01:58:44.7321406Z [       OK ] Simplify.SimplifyEliminateZeroLengthAlloc (0 ms)
2022-11-23T01:58:44.7322033Z [ RUN      ] Simplify.DontSimplifyRand
2022-11-23T01:58:44.7322572Z [       OK ] Simplify.DontSimplifyRand (0 ms)
2022-11-23T01:58:44.7323146Z [ RUN      ] Simplify.SimplifyReorderForCond
2022-11-23T01:58:44.7328263Z [       OK ] Simplify.SimplifyReorderForCond (0 ms)
2022-11-23T01:58:44.7328864Z [ RUN      ] Simplify.SimplifyFuseConditions
2022-11-23T01:58:44.7335070Z [       OK ] Simplify.SimplifyFuseConditions (0 ms)
2022-11-23T01:58:44.7335650Z [ RUN      ] Simplify.SimplifySyncThreads
2022-11-23T01:58:44.7336232Z [       OK ] Simplify.SimplifySyncThreads (0 ms)
2022-11-23T01:58:44.7336956Z [ RUN      ] Simplify.SimplifyRampSubBroadcast
2022-11-23T01:58:44.7337578Z [       OK ] Simplify.SimplifyRampSubBroadcast (0 ms)
2022-11-23T01:58:44.7338221Z [ RUN      ] Simplify.SimplifyBroadcastTermExpander
2022-11-23T01:58:44.7338883Z [       OK ] Simplify.SimplifyBroadcastTermExpander (0 ms)
2022-11-23T01:58:44.7339528Z [ RUN      ] Simplify.CompareSelectLoopBounds
2022-11-23T01:58:44.7430621Z [       OK ] Simplify.CompareSelectLoopBounds (9 ms)
2022-11-23T01:58:44.7431341Z [ RUN      ] Simplify.CompareSelectCondAlwaysInLoopBounds
2022-11-23T01:58:44.7432085Z [       OK ] Simplify.CompareSelectCondAlwaysInLoopBounds (0 ms)
2022-11-23T01:58:44.7432582Z [ RUN      ] Simplify.IfThenCondAlwaysInLoopBounds
2022-11-23T01:58:44.7432948Z [       OK ] Simplify.IfThenCondAlwaysInLoopBounds (0 ms)
2022-11-23T01:58:44.7433402Z [ RUN      ] Simplify.MultiClauseCondAlwaysInLoopBounds
2022-11-23T01:58:44.7435007Z [       OK ] Simplify.MultiClauseCondAlwaysInLoopBounds (0 ms)
2022-11-23T01:58:44.7435665Z [----------] 92 tests from Simplify (36 ms total)
2022-11-23T01:58:44.7435846Z 
2022-11-23T01:58:44.7435996Z [----------] 12 tests from TEFuserPass
2022-11-23T01:58:44.7436264Z [ RUN      ] TEFuserPass.FuserPass_1
2022-11-23T01:58:44.7440839Z [       OK ] TEFuserPass.FuserPass_1 (0 ms)
2022-11-23T01:58:44.7441147Z [ RUN      ] TEFuserPass.FuserPass_2
2022-11-23T01:58:44.7444388Z [       OK ] TEFuserPass.FuserPass_2 (0 ms)
2022-11-23T01:58:44.7444698Z [ RUN      ] TEFuserPass.FuserPass_3
2022-11-23T01:58:44.7446783Z [       OK ] TEFuserPass.FuserPass_3 (0 ms)
2022-11-23T01:58:44.7447091Z [ RUN      ] TEFuserPass.FuserPass_0DimInput
2022-11-23T01:58:44.7449210Z [       OK ] TEFuserPass.FuserPass_0DimInput (0 ms)
2022-11-23T01:58:44.7449618Z [ RUN      ] TEFuserPass.FuserPass_UnfusibleDevice
2022-11-23T01:58:44.7450490Z [       OK ] TEFuserPass.FuserPass_UnfusibleDevice (0 ms)
2022-11-23T01:58:44.7451088Z [ RUN      ] TEFuserPass.FuserPass_UnknownShapes
2022-11-23T01:58:44.7451605Z [       OK ] TEFuserPass.FuserPass_UnknownShapes (0 ms)
2022-11-23T01:58:44.7451929Z [ RUN      ] TEFuserPass.FuserPass_Multidevice
2022-11-23T01:58:44.7458795Z [       OK ] TEFuserPass.FuserPass_Multidevice (0 ms)
2022-11-23T01:58:44.7459348Z [ RUN      ] TEFuserPass.FuserPass_MergeGroups
2022-11-23T01:58:44.7461377Z [       OK ] TEFuserPass.FuserPass_MergeGroups (0 ms)
2022-11-23T01:58:44.7461994Z [ RUN      ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart
2022-11-23T01:58:44.7462737Z [       OK ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart (0 ms)
2022-11-23T01:58:44.7463305Z [ RUN      ] TEFuserPass.FuserPass_Where
2022-11-23T01:58:44.7465751Z [       OK ] TEFuserPass.FuserPass_Where (0 ms)
2022-11-23T01:58:44.7466323Z [ RUN      ] TEFuserPass.FuserPass_WhereList
2022-11-23T01:58:44.7466973Z [       OK ] TEFuserPass.FuserPass_WhereList (0 ms)
2022-11-23T01:58:44.7467560Z [ RUN      ] TEFuserPass.DynamicShapeFusion
2022-11-23T01:58:45.0044759Z [       OK ] TEFuserPass.DynamicShapeFusion (257 ms)
2022-11-23T01:58:45.0045444Z [----------] 12 tests from TEFuserPass (260 ms total)
2022-11-23T01:58:45.0045602Z 
2022-11-23T01:58:45.0045725Z [----------] 3 tests from Type
2022-11-23T01:58:45.0045974Z [ RUN      ] Type.Test01
2022-11-23T01:58:45.0046220Z [       OK ] Type.Test01 (0 ms)
2022-11-23T01:58:45.0046469Z [ RUN      ] Type.BitCasting
2022-11-23T01:58:45.0046718Z [       OK ] Type.BitCasting (0 ms)
2022-11-23T01:58:45.0046984Z [ RUN      ] Type.Propagation
2022-11-23T01:58:45.0047257Z [       OK ] Type.Propagation (0 ms)
2022-11-23T01:58:45.0047528Z [----------] 3 tests from Type (0 ms total)
2022-11-23T01:58:45.0047673Z 
2022-11-23T01:58:45.0047865Z [----------] 1 test from SpecializationsInCustomPasses
2022-11-23T01:58:45.0048216Z [ RUN      ] SpecializationsInCustomPasses.Basic
2022-11-23T01:58:45.0060162Z [       OK ] SpecializationsInCustomPasses.Basic (1 ms)
2022-11-23T01:58:45.0060568Z [----------] 1 test from SpecializationsInCustomPasses (1 ms total)
2022-11-23T01:58:45.0060761Z 
2022-11-23T01:58:45.0060899Z [----------] 150 tests from LLVM
2022-11-23T01:58:45.0061151Z [ RUN      ] LLVM.ByteImmTest
2022-11-23T01:58:45.0258000Z [       OK ] LLVM.ByteImmTest (19 ms)
2022-11-23T01:58:45.0258286Z [ RUN      ] LLVM.CharImmTest
2022-11-23T01:58:45.0436332Z [       OK ] LLVM.CharImmTest (17 ms)
2022-11-23T01:58:45.0436642Z [ RUN      ] LLVM.ShortImmTest
2022-11-23T01:58:45.0613379Z [       OK ] LLVM.ShortImmTest (17 ms)
2022-11-23T01:58:45.0613708Z [ RUN      ] LLVM.IntImmTest
2022-11-23T01:58:45.0790921Z [       OK ] LLVM.IntImmTest (17 ms)
2022-11-23T01:58:45.0791323Z [ RUN      ] LLVM.LongImmTest
2022-11-23T01:58:45.0967808Z [       OK ] LLVM.LongImmTest (17 ms)
2022-11-23T01:58:45.0968268Z [ RUN      ] LLVM.FloatImmTest
2022-11-23T01:58:45.1145749Z [       OK ] LLVM.FloatImmTest (17 ms)
2022-11-23T01:58:45.1146055Z [ RUN      ] LLVM.DoubleImmTest
2022-11-23T01:58:45.1323307Z [       OK ] LLVM.DoubleImmTest (17 ms)
2022-11-23T01:58:45.1323565Z [ RUN      ] LLVM.HalfImmTest
2022-11-23T01:58:45.1502162Z [       OK ] LLVM.HalfImmTest (17 ms)
2022-11-23T01:58:45.1502430Z [ RUN      ] LLVM.ByteAddTest
2022-11-23T01:58:45.1679591Z [       OK ] LLVM.ByteAddTest (17 ms)
2022-11-23T01:58:45.1679843Z [ RUN      ] LLVM.CharAddTest
2022-11-23T01:58:45.1855922Z [       OK ] LLVM.CharAddTest (17 ms)
2022-11-23T01:58:45.1856261Z [ RUN      ] LLVM.ShortAddTest
2022-11-23T01:58:45.2033156Z [       OK ] LLVM.ShortAddTest (17 ms)
2022-11-23T01:58:45.2033658Z [ RUN      ] LLVM.IntAddTest
2022-11-23T01:58:45.2211218Z [       OK ] LLVM.IntAddTest (17 ms)
2022-11-23T01:58:45.2211508Z [ RUN      ] LLVM.LongAddTest
2022-11-23T01:58:45.2387934Z [       OK ] LLVM.LongAddTest (17 ms)
2022-11-23T01:58:45.2388267Z [ RUN      ] LLVM.FloatAddTest
2022-11-23T01:58:45.2565851Z [       OK ] LLVM.FloatAddTest (17 ms)
2022-11-23T01:58:45.2566172Z [ RUN      ] LLVM.DoubleAddTest
2022-11-23T01:58:45.2743017Z [       OK ] LLVM.DoubleAddTest (17 ms)
2022-11-23T01:58:45.2743339Z [ RUN      ] LLVM.HalfAddTest
2022-11-23T01:58:45.2921790Z [       OK ] LLVM.HalfAddTest (17 ms)
2022-11-23T01:58:45.2922061Z [ RUN      ] LLVM.ByteSubTest
2022-11-23T01:58:45.3097533Z [       OK ] LLVM.ByteSubTest (17 ms)
2022-11-23T01:58:45.3097868Z [ RUN      ] LLVM.CharSubTest
2022-11-23T01:58:45.3274679Z [       OK ] LLVM.CharSubTest (17 ms)
2022-11-23T01:58:45.3275013Z [ RUN      ] LLVM.ShortSubTest
2022-11-23T01:58:45.3452258Z [       OK ] LLVM.ShortSubTest (17 ms)
2022-11-23T01:58:45.3452615Z [ RUN      ] LLVM.IntSubTest
2022-11-23T01:58:45.3629366Z [       OK ] LLVM.IntSubTest (17 ms)
2022-11-23T01:58:45.3629633Z [ RUN      ] LLVM.LongSubTest
2022-11-23T01:58:45.3807572Z [       OK ] LLVM.LongSubTest (17 ms)
2022-11-23T01:58:45.3807843Z [ RUN      ] LLVM.FloatSubTest
2022-11-23T01:58:45.3985180Z [       OK ] LLVM.FloatSubTest (17 ms)
2022-11-23T01:58:45.3985438Z [ RUN      ] LLVM.DoubleSubTest
2022-11-23T01:58:45.4164000Z [       OK ] LLVM.DoubleSubTest (17 ms)
2022-11-23T01:58:45.4164352Z [ RUN      ] LLVM.HalfSubTest
2022-11-23T01:58:45.4343112Z [       OK ] LLVM.HalfSubTest (17 ms)
2022-11-23T01:58:45.4343469Z [ RUN      ] LLVM.ByteMulTest
2022-11-23T01:58:45.4522036Z [       OK ] LLVM.ByteMulTest (17 ms)
2022-11-23T01:58:45.4522304Z [ RUN      ] LLVM.CharMulTest
2022-11-23T01:58:45.4699128Z [       OK ] LLVM.CharMulTest (17 ms)
2022-11-23T01:58:45.4699466Z [ RUN      ] LLVM.ShortMulTest
2022-11-23T01:58:45.4876433Z [       OK ] LLVM.ShortMulTest (17 ms)
2022-11-23T01:58:45.4876690Z [ RUN      ] LLVM.IntMulTest
2022-11-23T01:58:45.5053288Z [       OK ] LLVM.IntMulTest (17 ms)
2022-11-23T01:58:45.5053615Z [ RUN      ] LLVM.LongMulTest
2022-11-23T01:58:45.5230113Z [       OK ] LLVM.LongMulTest (17 ms)
2022-11-23T01:58:45.5230465Z [ RUN      ] LLVM.FloatMulTest
2022-11-23T01:58:45.5410167Z [       OK ] LLVM.FloatMulTest (17 ms)
2022-11-23T01:58:45.5410508Z [ RUN      ] LLVM.DoubleMulTest
2022-11-23T01:58:45.5588311Z [       OK ] LLVM.DoubleMulTest (17 ms)
2022-11-23T01:58:45.5588663Z [ RUN      ] LLVM.HalfMulTest
2022-11-23T01:58:45.5766338Z [       OK ] LLVM.HalfMulTest (17 ms)
2022-11-23T01:58:45.5766671Z [ RUN      ] LLVM.ByteDivTest
2022-11-23T01:58:45.5946578Z [       OK ] LLVM.ByteDivTest (17 ms)
2022-11-23T01:58:45.5946873Z [ RUN      ] LLVM.CharDivTest
2022-11-23T01:58:45.6122333Z [       OK ] LLVM.CharDivTest (17 ms)
2022-11-23T01:58:45.6122646Z [ RUN      ] LLVM.ShortDivTest
2022-11-23T01:58:45.6301443Z [       OK ] LLVM.ShortDivTest (17 ms)
2022-11-23T01:58:45.6301775Z [ RUN      ] LLVM.IntDivTest
2022-11-23T01:58:45.6478920Z [       OK ] LLVM.IntDivTest (17 ms)
2022-11-23T01:58:45.6479252Z [ RUN      ] LLVM.LongDivTest
2022-11-23T01:58:45.6659396Z [       OK ] LLVM.LongDivTest (18 ms)
2022-11-23T01:58:45.6659705Z [ RUN      ] LLVM.FloatDivTest
2022-11-23T01:58:45.6836964Z [       OK ] LLVM.FloatDivTest (17 ms)
2022-11-23T01:58:45.6837471Z [ RUN      ] LLVM.DoubleDivTest
2022-11-23T01:58:45.7014145Z [       OK ] LLVM.DoubleDivTest (17 ms)
2022-11-23T01:58:45.7014454Z [ RUN      ] LLVM.HalfDivTest
2022-11-23T01:58:45.7195189Z [       OK ] LLVM.HalfDivTest (18 ms)
2022-11-23T01:58:45.7195557Z [ RUN      ] LLVM.IntToFloatCastTest
2022-11-23T01:58:45.7373139Z [       OK ] LLVM.IntToFloatCastTest (17 ms)
2022-11-23T01:58:45.7373516Z [ RUN      ] LLVM.FloatToIntCastTest
2022-11-23T01:58:45.7552853Z [       OK ] LLVM.FloatToIntCastTest (17 ms)
2022-11-23T01:58:45.7553218Z [ RUN      ] LLVM.IntToLongCastTest
2022-11-23T01:58:45.7730355Z [       OK ] LLVM.IntToLongCastTest (17 ms)
2022-11-23T01:58:45.7730730Z [ RUN      ] LLVM.ByteToCharCastTest
2022-11-23T01:58:45.7910953Z [       OK ] LLVM.ByteToCharCastTest (18 ms)
2022-11-23T01:58:45.7911297Z [ RUN      ] LLVM.HalfToLongCastTest
2022-11-23T01:58:45.8088778Z [       OK ] LLVM.HalfToLongCastTest (17 ms)
2022-11-23T01:58:45.8089151Z [ RUN      ] LLVM.ByteToDoubleCastTest
2022-11-23T01:58:45.8266745Z [       OK ] LLVM.ByteToDoubleCastTest (17 ms)
2022-11-23T01:58:45.8267110Z [ RUN      ] LLVM.FloatToByteCastTest
2022-11-23T01:58:45.8447101Z [       OK ] LLVM.FloatToByteCastTest (18 ms)
2022-11-23T01:58:45.8447467Z [ RUN      ] LLVM.FloatToCharCastTest
2022-11-23T01:58:45.8623839Z [       OK ] LLVM.FloatToCharCastTest (17 ms)
2022-11-23T01:58:45.8624201Z [ RUN      ] LLVM.ByteToFloatCastTest
2022-11-23T01:58:45.8803943Z [       OK ] LLVM.ByteToFloatCastTest (17 ms)
2022-11-23T01:58:45.8804320Z [ RUN      ] LLVM.CharToFloatCastTest
2022-11-23T01:58:45.8982512Z [       OK ] LLVM.CharToFloatCastTest (17 ms)
2022-11-23T01:58:45.8982834Z [ RUN      ] LLVM.BitCast
2022-11-23T01:58:45.9696241Z [       OK ] LLVM.BitCast (71 ms)
2022-11-23T01:58:45.9696700Z [ RUN      ] LLVM.fastLogFloat
2022-11-23T01:58:46.0297445Z [       OK ] LLVM.fastLogFloat (60 ms)
2022-11-23T01:58:46.0297704Z [ RUN      ] LLVM.LetTest01
2022-11-23T01:58:46.0476505Z [       OK ] LLVM.LetTest01 (17 ms)
2022-11-23T01:58:46.0476820Z [ RUN      ] LLVM.LetTest02
2022-11-23T01:58:46.0657108Z [       OK ] LLVM.LetTest02 (17 ms)
2022-11-23T01:58:46.0657438Z [ RUN      ] LLVM.LetTestMultitype
2022-11-23T01:58:46.0837869Z [       OK ] LLVM.LetTestMultitype (18 ms)
2022-11-23T01:58:46.0838194Z [ RUN      ] LLVM.BufferTest
2022-11-23T01:58:46.1016128Z [       OK ] LLVM.BufferTest (17 ms)
2022-11-23T01:58:46.1016560Z [ RUN      ] LLVM.BlockTest
2022-11-23T01:58:46.1196430Z [       OK ] LLVM.BlockTest (17 ms)
2022-11-23T01:58:46.1196848Z [ RUN      ] LLVM.LoadStoreTest
2022-11-23T01:58:46.1375941Z [       OK ] LLVM.LoadStoreTest (17 ms)
2022-11-23T01:58:46.1376364Z [ RUN      ] LLVM.IfThenElseTest
2022-11-23T01:58:46.1572999Z [       OK ] LLVM.IfThenElseTest (19 ms)
2022-11-23T01:58:46.1573444Z [ RUN      ] LLVM.CondNoFalseBlockTest
2022-11-23T01:58:46.2141084Z [       OK ] LLVM.CondNoFalseBlockTest (56 ms)
2022-11-23T01:58:46.2141532Z [ RUN      ] LLVM.CondTest
2022-11-23T01:58:46.2719545Z [       OK ] LLVM.CondTest (57 ms)
2022-11-23T01:58:46.2719885Z [ RUN      ] LLVM.CondNestedTest
2022-11-23T01:58:46.3518764Z [       OK ] LLVM.CondNestedTest (79 ms)
2022-11-23T01:58:46.3519280Z [ RUN      ] LLVM.DirectVectorization
2022-11-23T01:58:46.3770952Z [       OK ] LLVM.DirectVectorization (25 ms)
2022-11-23T01:58:46.3771489Z [ RUN      ] LLVM.VecLoadStoreTest
2022-11-23T01:58:46.3952420Z [       OK ] LLVM.VecLoadStoreTest (18 ms)
2022-11-23T01:58:46.3952936Z [ RUN      ] LLVM.VecFloat_erfLane4Test
2022-11-23T01:58:46.4138257Z [       OK ] LLVM.VecFloat_erfLane4Test (18 ms)
2022-11-23T01:58:46.4138961Z [ RUN      ] LLVM.VecFloat_erfcLane4Test
2022-11-23T01:58:46.4325526Z [       OK ] LLVM.VecFloat_erfcLane4Test (18 ms)
2022-11-23T01:58:46.4326055Z [ RUN      ] LLVM.VecFloat_acosLane4Test
2022-11-23T01:58:46.4510837Z [       OK ] LLVM.VecFloat_acosLane4Test (18 ms)
2022-11-23T01:58:46.4511377Z [ RUN      ] LLVM.VecFloat_asinLane4Test
2022-11-23T01:58:46.4698192Z [       OK ] LLVM.VecFloat_asinLane4Test (18 ms)
2022-11-23T01:58:46.4698744Z [ RUN      ] LLVM.VecFloat_atanLane4Test
2022-11-23T01:58:46.4883683Z [       OK ] LLVM.VecFloat_atanLane4Test (18 ms)
2022-11-23T01:58:46.4884234Z [ RUN      ] LLVM.VecFloat_coshLane4Test
2022-11-23T01:58:46.5069797Z [       OK ] LLVM.VecFloat_coshLane4Test (18 ms)
2022-11-23T01:58:46.5070321Z [ RUN      ] LLVM.VecFloat_sinhLane4Test
2022-11-23T01:58:46.5255535Z [       OK ] LLVM.VecFloat_sinhLane4Test (18 ms)
2022-11-23T01:58:46.5255843Z [ RUN      ] LLVM.VecFloat_tanhLane4Test
2022-11-23T01:58:46.5442333Z [       OK ] LLVM.VecFloat_tanhLane4Test (18 ms)
2022-11-23T01:58:46.5442647Z [ RUN      ] LLVM.VecFloat_expm1Lane4Test
2022-11-23T01:58:46.5627777Z [       OK ] LLVM.VecFloat_expm1Lane4Test (18 ms)
2022-11-23T01:58:46.5628085Z [ RUN      ] LLVM.VecFloat_lgammaLane4Test
2022-11-23T01:58:46.5813713Z [       OK ] LLVM.VecFloat_lgammaLane4Test (18 ms)
2022-11-23T01:58:46.5814016Z [ RUN      ] LLVM.VecFloat_erfLane8Test
2022-11-23T01:58:46.6001061Z [       OK ] LLVM.VecFloat_erfLane8Test (18 ms)
2022-11-23T01:58:46.6001363Z [ RUN      ] LLVM.VecFloat_erfcLane8Test
2022-11-23T01:58:46.6186392Z [       OK ] LLVM.VecFloat_erfcLane8Test (18 ms)
2022-11-23T01:58:46.6186692Z [ RUN      ] LLVM.VecFloat_acosLane8Test
2022-11-23T01:58:46.6374175Z [       OK ] LLVM.VecFloat_acosLane8Test (18 ms)
2022-11-23T01:58:46.6374500Z [ RUN      ] LLVM.VecFloat_asinLane8Test
2022-11-23T01:58:46.6559824Z [       OK ] LLVM.VecFloat_asinLane8Test (18 ms)
2022-11-23T01:58:46.6560360Z [ RUN      ] LLVM.VecFloat_atanLane8Test
2022-11-23T01:58:46.6746537Z [       OK ] LLVM.VecFloat_atanLane8Test (18 ms)
2022-11-23T01:58:46.6747088Z [ RUN      ] LLVM.VecFloat_coshLane8Test
2022-11-23T01:58:46.6931853Z [       OK ] LLVM.VecFloat_coshLane8Test (18 ms)
2022-11-23T01:58:46.6932373Z [ RUN      ] LLVM.VecFloat_sinhLane8Test
2022-11-23T01:58:46.7117661Z [       OK ] LLVM.VecFloat_sinhLane8Test (18 ms)
2022-11-23T01:58:46.7118206Z [ RUN      ] LLVM.VecFloat_tanhLane8Test
2022-11-23T01:58:46.7303534Z [       OK ] LLVM.VecFloat_tanhLane8Test (18 ms)
2022-11-23T01:58:46.7304070Z [ RUN      ] LLVM.VecFloat_expm1Lane8Test
2022-11-23T01:58:46.7490048Z [       OK ] LLVM.VecFloat_expm1Lane8Test (18 ms)
2022-11-23T01:58:46.7490571Z [ RUN      ] LLVM.VecFloat_lgammaLane8Test
2022-11-23T01:58:46.7676410Z [       OK ] LLVM.VecFloat_lgammaLane8Test (18 ms)
2022-11-23T01:58:46.7676944Z [ RUN      ] LLVM.VecDouble_erfLane2Test
2022-11-23T01:58:46.7874431Z [       OK ] LLVM.VecDouble_erfLane2Test (19 ms)
2022-11-23T01:58:46.7875218Z [ RUN      ] LLVM.VecDouble_erfcLane2Test
2022-11-23T01:58:46.8061059Z [       OK ] LLVM.VecDouble_erfcLane2Test (18 ms)
2022-11-23T01:58:46.8061605Z [ RUN      ] LLVM.VecDouble_acosLane2Test
2022-11-23T01:58:46.8246883Z [       OK ] LLVM.VecDouble_acosLane2Test (18 ms)
2022-11-23T01:58:46.8247416Z [ RUN      ] LLVM.VecDouble_asinLane2Test
2022-11-23T01:58:46.8432680Z [       OK ] LLVM.VecDouble_asinLane2Test (18 ms)
2022-11-23T01:58:46.8433205Z [ RUN      ] LLVM.VecDouble_atanLane2Test
2022-11-23T01:58:46.8618774Z [       OK ] LLVM.VecDouble_atanLane2Test (18 ms)
2022-11-23T01:58:46.8619501Z [ RUN      ] LLVM.VecDouble_coshLane2Test
2022-11-23T01:58:46.8803366Z [       OK ] LLVM.VecDouble_coshLane2Test (18 ms)
2022-11-23T01:58:46.8803879Z [ RUN      ] LLVM.VecDouble_sinhLane2Test
2022-11-23T01:58:46.8990967Z [       OK ] LLVM.VecDouble_sinhLane2Test (18 ms)
2022-11-23T01:58:46.8991530Z [ RUN      ] LLVM.VecDouble_tanhLane2Test
2022-11-23T01:58:46.9174767Z [       OK ] LLVM.VecDouble_tanhLane2Test (18 ms)
2022-11-23T01:58:46.9175300Z [ RUN      ] LLVM.VecDouble_expm1Lane2Test
2022-11-23T01:58:46.9359741Z [       OK ] LLVM.VecDouble_expm1Lane2Test (18 ms)
2022-11-23T01:58:46.9360278Z [ RUN      ] LLVM.VecDouble_lgammaLane2Test
2022-11-23T01:58:46.9546270Z [       OK ] LLVM.VecDouble_lgammaLane2Test (18 ms)
2022-11-23T01:58:46.9546830Z [ RUN      ] LLVM.VecDouble_erfLane4Test
2022-11-23T01:58:46.9732047Z [       OK ] LLVM.VecDouble_erfLane4Test (18 ms)
2022-11-23T01:58:46.9732574Z [ RUN      ] LLVM.VecDouble_erfcLane4Test
2022-11-23T01:58:46.9917658Z [       OK ] LLVM.VecDouble_erfcLane4Test (18 ms)
2022-11-23T01:58:46.9917957Z [ RUN      ] LLVM.VecDouble_acosLane4Test
2022-11-23T01:58:47.0103992Z [       OK ] LLVM.VecDouble_acosLane4Test (18 ms)
2022-11-23T01:58:47.0104283Z [ RUN      ] LLVM.VecDouble_asinLane4Test
2022-11-23T01:58:47.0289287Z [       OK ] LLVM.VecDouble_asinLane4Test (18 ms)
2022-11-23T01:58:47.0289582Z [ RUN      ] LLVM.VecDouble_atanLane4Test
2022-11-23T01:58:47.0474942Z [       OK ] LLVM.VecDouble_atanLane4Test (18 ms)
2022-11-23T01:58:47.0475256Z [ RUN      ] LLVM.VecDouble_coshLane4Test
2022-11-23T01:58:47.0660633Z [       OK ] LLVM.VecDouble_coshLane4Test (18 ms)
2022-11-23T01:58:47.0660932Z [ RUN      ] LLVM.VecDouble_sinhLane4Test
2022-11-23T01:58:47.0847704Z [       OK ] LLVM.VecDouble_sinhLane4Test (18 ms)
2022-11-23T01:58:47.0848346Z [ RUN      ] LLVM.VecDouble_tanhLane4Test
2022-11-23T01:58:47.1033589Z [       OK ] LLVM.VecDouble_tanhLane4Test (18 ms)
2022-11-23T01:58:47.1034163Z [ RUN      ] LLVM.VecDouble_expm1Lane4Test
2022-11-23T01:58:47.1220498Z [       OK ] LLVM.VecDouble_expm1Lane4Test (18 ms)
2022-11-23T01:58:47.1221094Z [ RUN      ] LLVM.VecDouble_lgammaLane4Test
2022-11-23T01:58:47.1408311Z [       OK ] LLVM.VecDouble_lgammaLane4Test (18 ms)
2022-11-23T01:58:47.1408940Z [ RUN      ] LLVM.VectorizerLoadStoreTest
2022-11-23T01:58:47.1592265Z [       OK ] LLVM.VectorizerLoadStoreTest (18 ms)
2022-11-23T01:58:47.1592826Z [ RUN      ] LLVM.VectorizeBitCast
2022-11-23T01:58:47.1793557Z [       OK ] LLVM.VectorizeBitCast (20 ms)
2022-11-23T01:58:47.1794103Z [ RUN      ] LLVM.MemcpyTest
2022-11-23T01:58:47.1993506Z [       OK ] LLVM.MemcpyTest (19 ms)
2022-11-23T01:58:47.1994032Z [ RUN      ] LLVM.BzeroTest
2022-11-23T01:58:47.2187378Z [       OK ] LLVM.BzeroTest (19 ms)
2022-11-23T01:58:47.2187870Z [ RUN      ] LLVM.ElemwiseAdd
2022-11-23T01:58:47.2669220Z [       OK ] LLVM.ElemwiseAdd (48 ms)
2022-11-23T01:58:47.2669774Z [ RUN      ] LLVM.ElemwiseAddFloat
2022-11-23T01:58:47.3129847Z [       OK ] LLVM.ElemwiseAddFloat (45 ms)
2022-11-23T01:58:47.3130470Z [ RUN      ] LLVM.ElemwiseLog10Float
2022-11-23T01:58:47.3354935Z [       OK ] LLVM.ElemwiseLog10Float (22 ms)
2022-11-23T01:58:47.3355495Z [ RUN      ] LLVM.ElemwiseLog1pFloat
2022-11-23T01:58:47.3577564Z [       OK ] LLVM.ElemwiseLog1pFloat (22 ms)
2022-11-23T01:58:47.3578110Z [ RUN      ] LLVM.ElemwiseMaxInt
2022-11-23T01:58:47.3894917Z [       OK ] LLVM.ElemwiseMaxInt (31 ms)
2022-11-23T01:58:47.3895521Z [ RUN      ] LLVM.ElemwiseMinInt
2022-11-23T01:58:47.4213856Z [       OK ] LLVM.ElemwiseMinInt (31 ms)
2022-11-23T01:58:47.4214724Z [ RUN      ] LLVM.ElemwiseMaxFloat
2022-11-23T01:58:47.4495405Z [       OK ] LLVM.ElemwiseMaxFloat (28 ms)
2022-11-23T01:58:47.4496023Z [ RUN      ] LLVM.ElemwiseMaxNaNFloat
2022-11-23T01:58:47.4775963Z [       OK ] LLVM.ElemwiseMaxNaNFloat (28 ms)
2022-11-23T01:58:47.4776791Z [ RUN      ] LLVM.ElemwiseMinFloat
2022-11-23T01:58:47.5056383Z [       OK ] LLVM.ElemwiseMinFloat (28 ms)
2022-11-23T01:58:47.5057331Z [ RUN      ] LLVM.ElemwiseMinNaNFloat
2022-11-23T01:58:47.5337207Z [       OK ] LLVM.ElemwiseMinNaNFloat (28 ms)
2022-11-23T01:58:47.5337495Z [ RUN      ] LLVM.ElemwiseMod
2022-11-23T01:58:47.5608020Z [       OK ] LLVM.ElemwiseMod (27 ms)
2022-11-23T01:58:47.5608335Z [ RUN      ] LLVM.CompareSelectIntEQ
2022-11-23T01:58:47.5938663Z [       OK ] LLVM.CompareSelectIntEQ (32 ms)
2022-11-23T01:58:47.5939002Z [ RUN      ] LLVM.CompareSelectFloatEQ
2022-11-23T01:58:47.6268649Z [       OK ] LLVM.CompareSelectFloatEQ (32 ms)
2022-11-23T01:58:47.6268999Z [ RUN      ] LLVM.CompareSelectByteGT
2022-11-23T01:58:47.6597921Z [       OK ] LLVM.CompareSelectByteGT (32 ms)
2022-11-23T01:58:47.6598231Z [ RUN      ] LLVM.CompareSelectByteGE
2022-11-23T01:58:47.6922838Z [       OK ] LLVM.CompareSelectByteGE (32 ms)
2022-11-23T01:58:47.6923132Z [ RUN      ] LLVM.CompareSelectByteLT
2022-11-23T01:58:47.7250025Z [       OK ] LLVM.CompareSelectByteLT (32 ms)
2022-11-23T01:58:47.7250343Z [ RUN      ] LLVM.CompareSelectByteLE
2022-11-23T01:58:47.7577547Z [       OK ] LLVM.CompareSelectByteLE (32 ms)
2022-11-23T01:58:47.7577835Z [ RUN      ] LLVM.StoreFloat
2022-11-23T01:58:47.7757863Z [       OK ] LLVM.StoreFloat (18 ms)
2022-11-23T01:58:47.7758190Z [ RUN      ] LLVM.SimpleMath01
2022-11-23T01:58:47.8120116Z [       OK ] LLVM.SimpleMath01 (36 ms)
2022-11-23T01:58:47.8120404Z [ RUN      ] LLVM.ComputeMul
2022-11-23T01:58:47.8579535Z [       OK ] LLVM.ComputeMul (45 ms)
2022-11-23T01:58:47.8579830Z [ RUN      ] LLVM.BroadcastAdd
2022-11-23T01:58:47.9680813Z [       OK ] LLVM.BroadcastAdd (110 ms)
2022-11-23T01:58:47.9681072Z [ RUN      ] LLVM.BitwiseOps
2022-11-23T01:58:47.9861266Z [       OK ] LLVM.BitwiseOps (18 ms)
2022-11-23T01:58:47.9861618Z [ RUN      ] LLVM.ArithmeticRightShift
2022-11-23T01:58:48.0038544Z [       OK ] LLVM.ArithmeticRightShift (17 ms)
2022-11-23T01:58:48.0038881Z [ RUN      ] LLVM.LogicalRightShift
2022-11-23T01:58:48.0218426Z [       OK ] LLVM.LogicalRightShift (17 ms)
2022-11-23T01:58:48.0218748Z [ RUN      ] LLVM.DynamicShapeAdd
2022-11-23T01:58:48.1504370Z [       OK ] LLVM.DynamicShapeAdd (128 ms)
2022-11-23T01:58:48.1504747Z [ RUN      ] LLVM.BindDynamicShapeAdd
2022-11-23T01:58:48.2784771Z [       OK ] LLVM.BindDynamicShapeAdd (128 ms)
2022-11-23T01:58:48.2785160Z [ RUN      ] LLVM.TensorDynamicShapeAdd
2022-11-23T01:58:48.4063961Z [       OK ] LLVM.TensorDynamicShapeAdd (127 ms)
2022-11-23T01:58:48.4064315Z [ RUN      ] LLVM.DynamicShape2D
2022-11-23T01:58:48.6207173Z [       OK ] LLVM.DynamicShape2D (214 ms)
2022-11-23T01:58:48.6207942Z [ RUN      ] LLVM.EmptyStmt
2022-11-23T01:58:48.6379968Z [       OK ] LLVM.EmptyStmt (17 ms)
2022-11-23T01:58:48.6380264Z [ RUN      ] LLVM.EliminatedStmt
2022-11-23T01:58:48.6552698Z [       OK ] LLVM.EliminatedStmt (17 ms)
2022-11-23T01:58:48.6553093Z [ RUN      ] LLVM.SimpleReduction
2022-11-23T01:58:48.7363468Z [       OK ] LLVM.SimpleReduction (80 ms)
2022-11-23T01:58:48.7364011Z [ RUN      ] LLVM.RFactorReduction
2022-11-23T01:58:48.7681089Z [       OK ] LLVM.RFactorReduction (31 ms)
2022-11-23T01:58:48.7681649Z [ RUN      ] LLVM.RFactorVectorizedReduction
2022-11-23T01:58:48.8168398Z [       OK ] LLVM.RFactorVectorizedReduction (48 ms)
2022-11-23T01:58:48.8168721Z [ RUN      ] LLVM.SimpleParallelSS
2022-11-23T01:58:48.8402599Z [       OK ] LLVM.SimpleParallelSS (23 ms)
2022-11-23T01:58:48.8402884Z [ RUN      ] LLVM.SimpleParallelSP
2022-11-23T01:58:48.8654288Z [       OK ] LLVM.SimpleParallelSP (25 ms)
2022-11-23T01:58:48.8654782Z [ RUN      ] LLVM.SimpleParallelPS
2022-11-23T01:58:48.8926068Z [       OK ] LLVM.SimpleParallelPS (27 ms)
2022-11-23T01:58:48.8926521Z [ RUN      ] LLVM.SimpleParallelPP
2022-11-23T01:58:48.9190438Z [       OK ] LLVM.SimpleParallelPP (26 ms)
2022-11-23T01:58:48.9190974Z [ RUN      ] LLVM.CompositeParallel
2022-11-23T01:58:51.9158690Z [       OK ] LLVM.CompositeParallel (2996 ms)
2022-11-23T01:58:51.9159103Z [ RUN      ] LLVM.VectorizedGEMM
2022-11-23T01:58:51.9964249Z [       OK ] LLVM.VectorizedGEMM (80 ms)
2022-11-23T01:58:51.9964538Z [ RUN      ] LLVM.CallRaw
2022-11-23T01:58:52.6585307Z [       OK ] LLVM.CallRaw (662 ms)
2022-11-23T01:58:52.6585606Z [ RUN      ] LLVM.CustomTarget
2022-11-23T01:58:52.6812182Z [       OK ] LLVM.CustomTarget (22 ms)
2022-11-23T01:58:52.6812487Z [ RUN      ] LLVM.CodeGenKernelFuncName
2022-11-23T01:58:52.7176304Z [       OK ] LLVM.CodeGenKernelFuncName (36 ms)
2022-11-23T01:58:52.7177018Z [----------] 150 tests from LLVM (7711 ms total)
2022-11-23T01:58:52.7177166Z 
2022-11-23T01:58:52.7177335Z [----------] Global test environment tear-down
2022-11-23T01:58:52.7253307Z [==========] 801 tests from 25 test suites ran. (25057 ms total)
2022-11-23T01:58:52.7253594Z [  PASSED  ] 801 tests.
2022-11-23T01:58:52.7253722Z 
2022-11-23T01:58:52.7253845Z   YOU HAVE 5 DISABLED TESTS
2022-11-23T01:58:52.7253967Z 
2022-11-23T01:58:52.8072466Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *android* ]]
2022-11-23T01:58:52.8073067Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *cuda* ]]
2022-11-23T01:58:52.8073424Z + assert_git_not_dirty
2022-11-23T01:58:52.8073900Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:58:52.8074422Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]]
2022-11-23T01:58:52.8075656Z ++ git status --porcelain
2022-11-23T01:58:52.8891685Z + git_status=
2022-11-23T01:58:52.8892202Z + [[ -n '' ]]
2022-11-23T01:58:52.8892549Z + test_aot_compilation
2022-11-23T01:58:52.8892943Z + echo 'Testing Ahead of Time compilation'
2022-11-23T01:58:52.8893158Z Testing Ahead of Time compilation
2022-11-23T01:58:52.8893791Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libc10d_cuda_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:58:52.8905561Z + ln -sf /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.10/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:58:52.8915155Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_aot_compilation
2022-11-23T01:58:52.8915528Z + mkdir -p test/test-reports/cpp-unittest/test_aot_compilation
2022-11-23T01:58:52.8933685Z + '[' -f /opt/conda/lib/python3.10/site-packages/torch/bin/test_mobile_nnc ']'
2022-11-23T01:58:52.8934516Z + /opt/conda/lib/python3.10/site-packages/torch/bin/test_mobile_nnc --gtest_output=xml:test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml
2022-11-23T01:58:53.2522985Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2022-11-23T01:58:53.2523617Z [==========] Running 6 tests from 2 test suites.
2022-11-23T01:58:53.2523913Z [----------] Global test environment set-up.
2022-11-23T01:58:53.2524199Z [----------] 4 tests from Function
2022-11-23T01:58:53.2524474Z [ RUN      ] Function.ExecuteSlowMul
2022-11-23T01:58:53.2527852Z [       OK ] Function.ExecuteSlowMul (0 ms)
2022-11-23T01:58:53.2528370Z [ RUN      ] Function.Serialization
2022-11-23T01:58:53.2528839Z [       OK ] Function.Serialization (0 ms)
2022-11-23T01:58:53.2529119Z [ RUN      ] Function.ValidInput
2022-11-23T01:58:53.2529383Z [       OK ] Function.ValidInput (0 ms)
2022-11-23T01:58:53.2529661Z [ RUN      ] Function.InvalidInput
2022-11-23T01:58:53.2538847Z [       OK ] Function.InvalidInput (0 ms)
2022-11-23T01:58:53.2539428Z [----------] 4 tests from Function (1 ms total)
2022-11-23T01:58:53.2539696Z 
2022-11-23T01:58:53.2540024Z [----------] 2 tests from MobileNNCRegistryTest
2022-11-23T01:58:53.2540508Z [ RUN      ] MobileNNCRegistryTest.FindAndRun
2022-11-23T01:58:53.2540852Z [       OK ] MobileNNCRegistryTest.FindAndRun (0 ms)
2022-11-23T01:58:53.2541248Z [ RUN      ] MobileNNCRegistryTest.NoKernel
2022-11-23T01:58:53.2541760Z [       OK ] MobileNNCRegistryTest.NoKernel (0 ms)
2022-11-23T01:58:53.2542132Z [----------] 2 tests from MobileNNCRegistryTest (0 ms total)
2022-11-23T01:58:53.2542360Z 
2022-11-23T01:58:53.2542657Z [----------] Global test environment tear-down
2022-11-23T01:58:53.2543193Z [==========] 6 tests from 2 test suites ran. (1 ms total)
2022-11-23T01:58:53.2543454Z [  PASSED  ] 6 tests.
2022-11-23T01:58:53.2543572Z 
2022-11-23T01:58:53.2543695Z   YOU HAVE 1 DISABLED TEST
2022-11-23T01:58:53.2543814Z 
2022-11-23T01:58:53.3279251Z + '[' -f /opt/conda/lib/python3.10/site-packages/torch/bin/aot_model_compiler_test ']'
2022-11-23T01:58:53.3279605Z + source test/mobile/nnc/test_aot_compile.sh
2022-11-23T01:58:53.3283562Z ++ set -e -o pipefail
2022-11-23T01:58:53.3287420Z +++ python -c 'import site; print(site.getsitepackages()[0])'
2022-11-23T01:58:53.3458174Z ++ TORCH_INSTALL_DIR=/opt/conda/lib/python3.10/site-packages/torch
2022-11-23T01:58:53.3458590Z ++ TORCH_BIN_DIR=/opt/conda/lib/python3.10/site-packages/torch/bin
2022-11-23T01:58:53.3460690Z +++ dirname test/mobile/nnc/test_aot_compile.sh
2022-11-23T01:58:53.3472425Z ++ CURRENT_DIR=test/mobile/nnc
2022-11-23T01:58:53.3472841Z ++ MODEL=aot_test_model.pt
2022-11-23T01:58:53.3473193Z ++ COMPILED_MODEL=aot_test_model.compiled.pt
2022-11-23T01:58:53.3473442Z ++ COMPILED_CODE=aot_test_model.compiled.ll
2022-11-23T01:58:53.3475727Z +++ mktemp -d -t build_XXX
2022-11-23T01:58:53.3505287Z ++ TMP_DIR=/tmp/build_g4i
2022-11-23T01:58:53.3506814Z + test_custom_script_ops
2022-11-23T01:58:53.3507299Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *asan* ]]
2022-11-23T01:58:53.3507868Z + echo 'Testing custom script operators'
2022-11-23T01:58:53.3508135Z Testing custom script operators
2022-11-23T01:58:53.3508496Z + CUSTOM_OP_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build
2022-11-23T01:58:53.3508755Z + pushd test/custom_operator
2022-11-23T01:58:53.3509143Z ~/workspace/test/custom_operator ~/workspace
2022-11-23T01:58:53.3509512Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build build
2022-11-23T01:58:53.4383090Z + python test_custom_ops.py -v
2022-11-23T01:58:54.7675465Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2022-11-23T01:58:54.7689852Z 
2022-11-23T01:58:54.7690294Z Running tests...
2022-11-23T01:58:54.7690953Z ----------------------------------------------------------------------
2022-11-23T01:58:54.7731550Z   test_calling_custom_op (__main__.TestCustomOperators) ... ok (0.004s)
2022-11-23T01:58:54.8176839Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators) ... ok (0.044s)
2022-11-23T01:58:54.8182722Z   test_calling_custom_op_string (__main__.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:58:54.8203357Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators) ... /opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py:197: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.)
2022-11-23T01:58:54.8204701Z   Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2022-11-23T01:58:54.8217038Z ok (0.003s)
2022-11-23T01:58:54.8225220Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators) ... ok (0.001s)
2022-11-23T01:58:54.8229456Z   test_custom_library_is_loaded (__main__.TestCustomOperators) ... ok (0.000s)
2022-11-23T01:58:54.8310086Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators) ... ok (0.008s)
2022-11-23T01:58:54.8310487Z 
2022-11-23T01:58:54.8310779Z ----------------------------------------------------------------------
2022-11-23T01:58:54.8311032Z Ran 7 tests in 0.062s
2022-11-23T01:58:54.8311148Z 
2022-11-23T01:58:54.8311198Z OK
2022-11-23T01:58:54.8311294Z 
2022-11-23T01:58:54.8311381Z Generating XML reports...
2022-11-23T01:58:54.8341186Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20221123015854.xml
2022-11-23T01:58:55.0983374Z + python model.py --export-script-module=model.pt
2022-11-23T01:58:56.4933132Z + build/test_custom_ops ./model.pt
2022-11-23T01:58:56.8472964Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2022-11-23T01:58:56.9010294Z ok
2022-11-23T01:58:56.9750697Z + popd
2022-11-23T01:58:56.9751049Z ~/workspace
2022-11-23T01:58:56.9751328Z + assert_git_not_dirty
2022-11-23T01:58:56.9751735Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:58:56.9752048Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]]
2022-11-23T01:58:56.9754579Z ++ git status --porcelain
2022-11-23T01:58:57.0566089Z + git_status=
2022-11-23T01:58:57.0566681Z + [[ -n '' ]]
2022-11-23T01:58:57.0566955Z + test_custom_backend
2022-11-23T01:58:57.0567268Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *asan* ]]
2022-11-23T01:58:57.0567546Z + echo 'Testing custom backends'
2022-11-23T01:58:57.0567733Z Testing custom backends
2022-11-23T01:58:57.0568119Z + CUSTOM_BACKEND_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build
2022-11-23T01:58:57.0568407Z + pushd test/custom_backend
2022-11-23T01:58:57.0568616Z ~/workspace/test/custom_backend ~/workspace
2022-11-23T01:58:57.0569162Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build build
2022-11-23T01:58:57.1531641Z + python test_custom_backend.py -v
2022-11-23T01:58:58.4997905Z Test results will be stored in test-reports/python-unittest/test_custom_backend
2022-11-23T01:58:58.5009625Z 
2022-11-23T01:58:58.5009732Z Running tests...
2022-11-23T01:58:58.5010313Z ----------------------------------------------------------------------
2022-11-23T01:58:58.5015995Z   test_execute (__main__.TestCustomBackend)
2022-11-23T01:58:58.5532774Z Test execution using the custom backend. ... ok (0.052s)
2022-11-23T01:58:58.5539390Z   test_save_load (__main__.TestCustomBackend)
2022-11-23T01:58:58.5710948Z Test that a lowered module can be executed correctly ... ok (0.018s)
2022-11-23T01:58:58.5713196Z 
2022-11-23T01:58:58.5713583Z ----------------------------------------------------------------------
2022-11-23T01:58:58.5713872Z Ran 2 tests in 0.070s
2022-11-23T01:58:58.5713989Z 
2022-11-23T01:58:58.5714048Z OK
2022-11-23T01:58:58.5714138Z 
2022-11-23T01:58:58.5714230Z Generating XML reports...
2022-11-23T01:58:58.5741640Z Generated XML report: test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20221123015858.xml
2022-11-23T01:58:58.8409744Z + python backend.py --export-module-to=model.pt
2022-11-23T01:59:00.2776339Z + build/test_custom_backend ./model.pt
2022-11-23T01:59:00.6447072Z Testing custom_backend
2022-11-23T01:59:00.7086659Z OK
2022-11-23T01:59:00.7894250Z + rm -f ./model.pt
2022-11-23T01:59:00.7936992Z + popd
2022-11-23T01:59:00.7937238Z ~/workspace
2022-11-23T01:59:00.7937431Z + assert_git_not_dirty
2022-11-23T01:59:00.7937762Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:59:00.7938091Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]]
2022-11-23T01:59:00.7941094Z ++ git status --porcelain
2022-11-23T01:59:00.8768830Z + git_status=
2022-11-23T01:59:00.8769329Z + [[ -n '' ]]
2022-11-23T01:59:00.8769669Z + test_torch_function_benchmark
2022-11-23T01:59:00.8770021Z + echo 'Testing __torch_function__ benchmarks'
2022-11-23T01:59:00.8770264Z Testing __torch_function__ benchmarks
2022-11-23T01:59:00.8770487Z + pushd benchmarks/overrides_benchmark
2022-11-23T01:59:00.8770742Z ~/workspace/benchmarks/overrides_benchmark ~/workspace
2022-11-23T01:59:00.8771036Z + python bench.py -n 1 -m 2
2022-11-23T01:59:02.0355743Z Type tensor had a minimum time of 0.003814697265625 us and a standard deviation of 0.05934276123298332 us.
2022-11-23T01:59:02.0356123Z Type SubTensor had a minimum time of 0.022172927856445312 us and a standard deviation of 0.04484424789552577 us.
2022-11-23T01:59:02.0357630Z Type WithTorchFunction had a minimum time of 0.011205673217773438 us and a standard deviation of 0.01854461334005464 us.
2022-11-23T01:59:02.0358438Z Type SubWithTorchFunction had a minimum time of 0.017881393432617188 us and a standard deviation of 0.01129535576183116 us.
2022-11-23T01:59:02.2692499Z + python pyspybench.py Tensor -n 1
2022-11-23T01:59:03.6640972Z + python pyspybench.py SubTensor -n 1
2022-11-23T01:59:05.0587749Z + python pyspybench.py WithTorchFunction -n 1
2022-11-23T01:59:06.4523484Z + python pyspybench.py SubWithTorchFunction -n 1
2022-11-23T01:59:07.8558639Z + popd
2022-11-23T01:59:07.8558988Z ~/workspace
2022-11-23T01:59:07.8559335Z + assert_git_not_dirty
2022-11-23T01:59:07.8559785Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *rocm* ]]
2022-11-23T01:59:07.8560102Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 != *xla* ]]
2022-11-23T01:59:07.8562072Z ++ git status --porcelain
2022-11-23T01:59:07.9386594Z + git_status=
2022-11-23T01:59:07.9387129Z + [[ -n '' ]]
2022-11-23T01:59:07.9387297Z + test_benchmarks
2022-11-23T01:59:07.9387613Z + [[ linux-bionic-cuda11.7-py3.10-gcc7 == *cuda* ]]
2022-11-23T01:59:07.9387874Z + [[ nogpu_NO_AVX2 != *nogpu* ]]
2022-11-23T01:59:07.9451551Z Prepare all required actions
2022-11-23T01:59:07.9451865Z Getting action download info
2022-11-23T01:59:08.1227436Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2022-11-23T01:59:08.3273675Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-11-23T01:59:08.3273884Z with:
2022-11-23T01:59:08.3274202Z   github-token: ***
2022-11-23T01:59:08.3274472Z env:
2022-11-23T01:59:08.3274633Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:08.3274919Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:08.3275189Z ##[endgroup]
2022-11-23T01:59:08.3299758Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2022-11-23T01:59:08.3299995Z with:
2022-11-23T01:59:08.3300155Z   shell: bash
2022-11-23T01:59:08.3300318Z   timeout_minutes: 10
2022-11-23T01:59:08.3300497Z   max_attempts: 5
2022-11-23T01:59:08.3300797Z   retry_wait_seconds: 30
2022-11-23T01:59:08.3301169Z   command: set -eux
python3 -m pip install requests==2.26.0
GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}")
echo "job-id=${GHA_WORKFLOW_JOB_ID}" >> "${GITHUB_OUTPUT}"

2022-11-23T01:59:08.3301545Z   polling_interval_seconds: 1
2022-11-23T01:59:08.3301743Z   warning_on_retry: true
2022-11-23T01:59:08.3301935Z   continue_on_error: false
2022-11-23T01:59:08.3302096Z env:
2022-11-23T01:59:08.3302262Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:08.3302539Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:08.3302900Z   GITHUB_TOKEN: ***
2022-11-23T01:59:08.3303073Z ##[endgroup]
2022-11-23T01:59:08.7116376Z + python3 -m pip install requests==2.26.0
2022-11-23T01:59:09.3835121Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:59:09.4105233Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0)
2022-11-23T01:59:09.4239852Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.4)
2022-11-23T01:59:09.4260259Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2022.9.24)
2022-11-23T01:59:09.4271902Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12)
2022-11-23T01:59:09.4295243Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.12)
2022-11-23T01:59:09.6525275Z ++ python3 .github/scripts/get_workflow_job_id.py 3528293554 i-00bd4f051f405c083
2022-11-23T01:59:13.0972200Z + GHA_WORKFLOW_JOB_ID=9655198984
2022-11-23T01:59:13.0972778Z + echo job-id=9655198984
2022-11-23T01:59:13.7123875Z Command completed after 1 attempt(s).
2022-11-23T01:59:13.7227689Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2022-11-23T01:59:13.7227931Z kill "$MONITOR_SCRIPT_PID"
2022-11-23T01:59:13.7239182Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:59:13.7239407Z env:
2022-11-23T01:59:13.7239583Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:13.7239853Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:13.7240132Z   MONITOR_SCRIPT_PID: 23716
2022-11-23T01:59:13.7240316Z ##[endgroup]
2022-11-23T01:59:13.7322037Z Prepare all required actions
2022-11-23T01:59:13.7322292Z Getting action download info
2022-11-23T01:59:13.8981509Z Download action repository 'actions/upload-artifact@v3' (SHA:83fd05a356d7e2593de66fc9913b3002723633cb)
2022-11-23T01:59:14.0387591Z ##[group]Run ./.github/actions/upload-test-artifacts
2022-11-23T01:59:14.0387815Z with:
2022-11-23T01:59:14.0388036Z   file-suffix: test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984
2022-11-23T01:59:14.0388252Z env:
2022-11-23T01:59:14.0388424Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:14.0388704Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:14.0388953Z ##[endgroup]
2022-11-23T01:59:14.0411488Z ##[group]Run # Remove any previous test jsons if they exist
2022-11-23T01:59:14.0411770Z # Remove any previous test jsons if they exist
2022-11-23T01:59:14.0411998Z rm -f test-jsons-*.zip
2022-11-23T01:59:14.0412272Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json'
2022-11-23T01:59:14.0423705Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:59:14.0423928Z env:
2022-11-23T01:59:14.0424105Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:14.0424377Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:14.0424699Z   FILE_SUFFIX: test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984
2022-11-23T01:59:14.0424920Z ##[endgroup]
2022-11-23T01:59:14.0693680Z   adding: test/allowlist_for_publicAPI.json (deflated 79%)
2022-11-23T01:59:14.0754398Z   adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%)
2022-11-23T01:59:14.0780334Z   adding: test/profiler/profiler_utils_mock_events.json (deflated 87%)
2022-11-23T01:59:14.0781378Z   adding: test/.pytorch-slow-tests.json (deflated 73%)
2022-11-23T01:59:14.0789768Z   adding: test/.pytorch-disabled-tests.json (deflated 86%)
2022-11-23T01:59:14.0808220Z ##[group]Run # Remove any previous test reports if they exist
2022-11-23T01:59:14.0808497Z # Remove any previous test reports if they exist
2022-11-23T01:59:14.0808735Z rm -f test-reports-*.zip
2022-11-23T01:59:14.0808994Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv'
2022-11-23T01:59:14.0819637Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:59:14.0819857Z env:
2022-11-23T01:59:14.0820033Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:14.0820318Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:14.0820626Z   FILE_SUFFIX: test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984
2022-11-23T01:59:14.0820847Z ##[endgroup]
2022-11-23T01:59:14.0951780Z   adding: test/custom_backend/test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20221123015858.xml (deflated 56%)
2022-11-23T01:59:14.0952819Z   adding: test/custom_operator/test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20221123015854.xml (deflated 65%)
2022-11-23T01:59:14.0959119Z   adding: test/test-reports/python-unittest/backends.xeon.test_launch/TEST-TestTorchrun-20221123011850.xml (deflated 47%)
2022-11-23T01:59:14.0962943Z   adding: test/test-reports/python-unittest/benchmark_utils.test_benchmark_utils/TEST-TestBenchmarkUtils-20221123011850.xml (deflated 75%)
2022-11-23T01:59:14.0967298Z   adding: test/test-reports/python-unittest/dynamo.test_aot_autograd/TEST-AotAutogradFallbackTests-20221123011855.xml (deflated 81%)
2022-11-23T01:59:14.0972230Z   adding: test/test-reports/python-unittest/dynamo.test_aot_cudagraphs/TEST-TestAotCudagraphs-20221123011855.xml (deflated 83%)
2022-11-23T01:59:14.0988248Z   adding: test/test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesExportTests-20221123011859.xml (deflated 93%)
2022-11-23T01:59:14.0998444Z   adding: test/test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesFunctionTests-20221123011859.xml (deflated 95%)
2022-11-23T01:59:14.1027995Z   adding: test/test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesMiscTests-20221123011859.xml (deflated 92%)
2022-11-23T01:59:14.1035582Z   adding: test/test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesNNModuleTests-20221123011859.xml (deflated 92%)
2022-11-23T01:59:14.1046759Z   adding: test/test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesReproTests-20221123011859.xml (deflated 90%)
2022-11-23T01:59:14.1055508Z   adding: test/test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesSubGraphTests-20221123011859.xml (deflated 92%)
2022-11-23T01:59:14.1064648Z   adding: test/test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesUnspecTests-20221123011859.xml (deflated 80%)
2022-11-23T01:59:14.1070735Z   adding: test/test-reports/python-unittest/dynamo.test_export/TEST-ExportTests-20221123011903.xml (deflated 92%)
2022-11-23T01:59:14.1075203Z   adding: test/test-reports/python-unittest/dynamo.test_export_mutations/TEST-MutationExportTests-20221123011908.xml (deflated 81%)
2022-11-23T01:59:14.1091382Z   adding: test/test-reports/python-unittest/dynamo.test_functions/TEST-FunctionTests-20221123011912.xml (deflated 95%)
2022-11-23T01:59:14.1095584Z   adding: test/test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20221123011917.xml (deflated 85%)
2022-11-23T01:59:14.1100495Z   adding: test/test-reports/python-unittest/dynamo.test_minifier/TEST-MinifierTests-20221123011925.xml (deflated 84%)
2022-11-23T01:59:14.1112941Z   adding: test/test-reports/python-unittest/dynamo.test_misc/TEST-MiscTests-20221123011925.xml (deflated 89%)
2022-11-23T01:59:14.1116660Z   adding: test/test-reports/python-unittest/dynamo.test_misc/TEST-TestTracer-20221123011925.xml (deflated 39%)
2022-11-23T01:59:14.1119817Z   adding: test/test-reports/python-unittest/dynamo.test_model_output/TEST-TestHFPretrained-20221123011932.xml (deflated 42%)
2022-11-23T01:59:14.1123392Z   adding: test/test-reports/python-unittest/dynamo.test_model_output/TEST-TestModelOutput-20221123011932.xml (deflated 82%)
2022-11-23T01:59:14.1131420Z   adding: test/test-reports/python-unittest/dynamo.test_modules/TEST-NNModuleTests-20221123011936.xml (deflated 90%)
2022-11-23T01:59:14.1135837Z   adding: test/test-reports/python-unittest/dynamo.test_modules/TEST-OptimizedModuleTest-20221123011936.xml (deflated 76%)
2022-11-23T01:59:14.1143386Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsFunctionTests-20221123011941.xml (deflated 96%)
2022-11-23T01:59:14.1157463Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsMiscTests-20221123011941.xml (deflated 92%)
2022-11-23T01:59:14.1163946Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsNNModuleTests-20221123011941.xml (deflated 92%)
2022-11-23T01:59:14.1173277Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsReproTests-20221123011941.xml (deflated 90%)
2022-11-23T01:59:14.1181105Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsUnspecTests-20221123011941.xml (deflated 83%)
2022-11-23T01:59:14.1184272Z   adding: test/test-reports/python-unittest/dynamo.test_nops/TEST-NopTests-20221123011953.xml (deflated 67%)
2022-11-23T01:59:14.1190919Z   adding: test/test-reports/python-unittest/dynamo.test_optimizations/TEST-NormalizeIRTests-20221123011957.xml (deflated 41%)
2022-11-23T01:59:14.1194683Z   adding: test/test-reports/python-unittest/dynamo.test_optimizations/TEST-TestOptimizations-20221123011957.xml (deflated 75%)
2022-11-23T01:59:14.1200078Z   adding: test/test-reports/python-unittest/dynamo.test_optimizers/TEST-End2EndTests-20221123011958.xml (deflated 49%)
2022-11-23T01:59:14.1203883Z   adding: test/test-reports/python-unittest/dynamo.test_optimizers/TEST-OptimizerTests-20221123011958.xml (deflated 85%)
2022-11-23T01:59:14.1207318Z   adding: test/test-reports/python-unittest/dynamo.test_python_autograd/TEST-TestPythonAutograd-20221123012002.xml (deflated 77%)
2022-11-23T01:59:14.1211389Z   adding: test/test-reports/python-unittest/dynamo.test_replay_record/TEST-ReplayRecordTests-20221123012006.xml (deflated 81%)
2022-11-23T01:59:14.1221618Z   adding: test/test-reports/python-unittest/dynamo.test_repros/TEST-ReproTests-20221123012007.xml (deflated 87%)
2022-11-23T01:59:14.1225152Z   adding: test/test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123012010.xml (deflated 79%)
2022-11-23T01:59:14.1233892Z   adding: test/test-reports/python-unittest/dynamo.test_subgraphs/TEST-SubGraphTests-20221123012015.xml (deflated 92%)
2022-11-23T01:59:14.1239936Z   adding: test/test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecNNModuleTests-20221123012019.xml (deflated 91%)
2022-11-23T01:59:14.1248343Z   adding: test/test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecReproTests-20221123012019.xml (deflated 88%)
2022-11-23T01:59:14.1252412Z   adding: test/test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecTests-20221123012019.xml (deflated 75%)
2022-11-23T01:59:14.1255783Z   adding: test/test-reports/python-unittest/dynamo.test_verify_correctness/TEST-TestVerifyCorrectness-20221123012020.xml (deflated 69%)
2022-11-23T01:59:14.1261214Z   adding: test/test-reports/python-unittest/inductor.test_minifier/TEST-MinifierTests-20221123012025.xml (deflated 84%)
2022-11-23T01:59:14.1277626Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123012135.xml (deflated 88%)
2022-11-23T01:59:14.1833391Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123012135.xml (deflated 94%)
2022-11-23T01:59:14.1884401Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123012135.xml (deflated 96%)
2022-11-23T01:59:14.1887690Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123012135.xml (deflated 57%)
2022-11-23T01:59:14.1891463Z   adding: test/test-reports/python-unittest/lazy.test_debug_util/TEST-DebugUtilTest-20221123012138.xml (deflated 39%)
2022-11-23T01:59:14.1897587Z   adding: test/test-reports/python-unittest/lazy.test_reuse_ir/TEST-TestLazyReuseIr-20221123012149.xml (deflated 74%)
2022-11-23T01:59:14.1905679Z   adding: test/test-reports/python-unittest/lazy.test_step_closures/TEST-ClosuresTest-20221123012153.xml (deflated 67%)
2022-11-23T01:59:14.1910095Z   adding: test/test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyDynamicOps-20221123012200.xml (deflated 40%)
2022-11-23T01:59:14.1914471Z   adding: test/test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyTensor-20221123012200.xml (deflated 58%)
2022-11-23T01:59:14.1921966Z   adding: test/test-reports/python-unittest/nn.test_convolution/TEST-TestConvolutionNN-20221123012204.xml (deflated 84%)
2022-11-23T01:59:14.1926220Z   adding: test/test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221123012215.xml (deflated 65%)
2022-11-23T01:59:14.1940022Z   adding: test/test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNN-20221123012219.xml (deflated 87%)
2022-11-23T01:59:14.1957064Z   adding: test/test-reports/python-unittest/nn.test_lazy_modules/TEST-TestLazyModules-20221123012223.xml (deflated 89%)
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2022-11-23T01:59:14.1966295Z   adding: test/test-reports/python-unittest/nn.test_packed_sequence/TEST-PackedSequenceTest-20221123012231.xml (deflated 81%)
2022-11-23T01:59:14.1971538Z   adding: test/test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestDataFlow-20221123012235.xml (deflated 63%)
2022-11-23T01:59:14.1975076Z   adding: test/test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestIdentifyGradients-20221123012235.xml (deflated 66%)
2022-11-23T01:59:14.1979442Z   adding: test/test-reports/python-unittest/profiler.test_memory_profiler/TEST-TestMemoryProfiler-20221123012235.xml (deflated 42%)
2022-11-23T01:59:14.1984906Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestExecutionGraph-20221123012240.xml (deflated 73%)
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2022-11-23T01:59:14.2026990Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerCUDA-20221123012240.xml (deflated 57%)
2022-11-23T01:59:14.2032634Z   adding: test/test-reports/python-unittest/profiler.test_profiler_tree/TEST-TestProfilerTree-20221123012250.xml (deflated 84%)
2022-11-23T01:59:14.2036303Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_activation_sparsifier.TestActivationSparsifier-20221123012254.xml (deflated 54%)
2022-11-23T01:59:14.2040330Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_scheduler.TestBaseDataScheduler-20221123012254.xml (deflated 71%)
2022-11-23T01:59:14.2044656Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestBaseDataSparsifier-20221123012254.xml (deflated 65%)
2022-11-23T01:59:14.2048252Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_pruner.TestBasePruner-20221123012254.xml (deflated 80%)
2022-11-23T01:59:14.2051976Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestBaseSparsifier-20221123012254.xml (deflated 82%)
2022-11-23T01:59:14.2055650Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestComposability-20221123012254.xml (deflated 74%)
2022-11-23T01:59:14.2059030Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_scheduler.TestCubicScheduler-20221123012254.xml (deflated 58%)
2022-11-23T01:59:14.2065954Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_parametrization.TestFakeSparsity-20221123012254.xml (deflated 73%)
2022-11-23T01:59:14.2070408Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_composability.TestFxComposability-20221123012254.xml (deflated 81%)
2022-11-23T01:59:14.2075207Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_sparsifier.TestNearlyDiagonalSparsifier-20221123012254.xml (deflated 76%)
2022-11-23T01:59:14.2085072Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestNormDataSparsifiers-20221123012254.xml (deflated 69%)
2022-11-23T01:59:14.2089981Z   adding: test/test-reports/python-unittest/test_ao_sparsity/TEST-ao.sparsity.test_data_sparsifier.TestQuantizationUtils-20221123012254.xml (deflated 71%)
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2022-11-23T01:59:14.4150739Z   adding: test/test-reports/python-unittest/test_multiprocessing_spawn/TEST-ErrorTest-20221123015314.xml (deflated 39%)
2022-11-23T01:59:14.4151251Z   adding: test/test-reports/python-unittest/test_multiprocessing_spawn/TEST-ForkTest-20221123015314.xml (deflated 85%)
2022-11-23T01:59:14.4151766Z   adding: test/test-reports/python-unittest/test_multiprocessing_spawn/TEST-SpawnTest-20221123015314.xml (deflated 87%)
2022-11-23T01:59:14.4152526Z   adding: test/test-reports/python-unittest/test_namedtuple_return_api/TEST-TestNamedTupleAPI-20221123015316.xml (deflated 77%)
2022-11-23T01:59:14.4153024Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestAddRelu-20221123015320.xml (deflated 53%)
2022-11-23T01:59:14.4153511Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestConstantPadNd-20221123015320.xml (deflated 53%)
2022-11-23T01:59:14.4154028Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestFunctionalPickle-20221123015320.xml (deflated 41%)
2022-11-23T01:59:14.4154573Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestFusionEval-20221123015320.xml (deflated 39%)
2022-11-23T01:59:14.4155061Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestFusionUtils-20221123015320.xml (deflated 55%)
2022-11-23T01:59:14.4155565Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestModuleGlobalHooks-20221123015320.xml (deflated 70%)
2022-11-23T01:59:14.4186904Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestNN-20221123015320.xml (deflated 95%)
2022-11-23T01:59:14.4187540Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestNNInit-20221123015320.xml (deflated 84%)
2022-11-23T01:59:14.4188031Z   adding: test/test-reports/python-unittest/test_nn/TEST-TestStateDictHooks-20221123015320.xml (deflated 74%)
2022-11-23T01:59:14.4188571Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestBroadcastAllOverride-20221123015435.xml (deflated 42%)
2022-11-23T01:59:14.4189144Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestDisabledTorchFunction-20221123015435.xml (deflated 41%)
2022-11-23T01:59:14.4189688Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestEinsumOverride-20221123015435.xml (deflated 41%)
2022-11-23T01:59:14.4190215Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestGradCheckOverride-20221123015435.xml (deflated 41%)
2022-11-23T01:59:14.4190762Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestGradNewOnesOverride-20221123015435.xml (deflated 41%)
2022-11-23T01:59:14.4191349Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestIndexing-20221123015435.xml (deflated 73%)
2022-11-23T01:59:14.4191852Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestIterator-20221123015435.xml (deflated 40%)
2022-11-23T01:59:14.4192335Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestNamedTuple-20221123015435.xml (deflated 39%)
2022-11-23T01:59:14.4192820Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestPickle-20221123015435.xml (deflated 39%)
2022-11-23T01:59:14.4193290Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestRNN-20221123015435.xml (deflated 38%)
2022-11-23T01:59:14.4193777Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestResolveName-20221123015435.xml (deflated 40%)
2022-11-23T01:59:14.4194356Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionMode-20221123015435.xml (deflated 85%)
2022-11-23T01:59:14.4205952Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionOverride-20221123015435.xml (deflated 96%)
2022-11-23T01:59:14.4206520Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionWarning-20221123015435.xml (deflated 41%)
2022-11-23T01:59:14.4207069Z   adding: test/test-reports/python-unittest/test_overrides/TEST-TestWrapTorchFunction-20221123015435.xml (deflated 41%)
2022-11-23T01:59:14.4207575Z   adding: test/test-reports/python-unittest/test_prims/TEST-TestPrimsBasic-20221123015439.xml (deflated 52%)
2022-11-23T01:59:14.4208154Z   adding: test/test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20221123015443.xml (deflated 39%)
2022-11-23T01:59:14.4208672Z   adding: test/test-reports/python-unittest/test_sparse_csr/TEST-TestSparseCSRSampler-20221123015446.xml (deflated 40%)
2022-11-23T01:59:14.4209213Z   adding: test/test-reports/python-unittest/test_tensorexpr/TEST-TestTensorExprFuser-20221123015450.xml (deflated 88%)
2022-11-23T01:59:14.4209732Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221123015537.xml (deflated 63%)
2022-11-23T01:59:14.4213637Z   adding: test/test-reports/python-unittest/test_torch/TEST-TestTorch-20221123015537.xml (deflated 89%)
2022-11-23T01:59:14.4219713Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-e43b32f2797c8092.xml (deflated 28%)
2022-11-23T01:59:14.4228442Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-0890886772956de0.xml (deflated 29%)
2022-11-23T01:59:14.4245951Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-42a9206f13df8eab.xml (deflated 29%)
2022-11-23T01:59:14.4246429Z   adding: test/test-reports/python-pytest/test_ops/test_ops-3f9fd20d87b685b3.xml (deflated 28%)
2022-11-23T01:59:14.4246866Z   adding: test/test-reports/python-pytest/test_ops/test_ops-94ac00eae24ffe79.xml (deflated 28%)
2022-11-23T01:59:14.4247310Z   adding: test/test-reports/python-pytest/test_ops/test_ops-b656e336ba02bfb3.xml (deflated 29%)
2022-11-23T01:59:14.4247799Z   adding: test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-d1c55286bd6d6856.xml (deflated 29%)
2022-11-23T01:59:14.4248299Z   adding: test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-075c9ca9ede98515.xml (deflated 29%)
2022-11-23T01:59:14.4248820Z   adding: test/test-reports/python-pytest/test_ops_fwd_gradients/test_ops_fwd_gradients-f86589494202a83f.xml (deflated 29%)
2022-11-23T01:59:14.4249314Z   adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-6a0d44a4a481b1d6.xml (deflated 29%)
2022-11-23T01:59:14.4249810Z   adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-7ff5ee15a06e8ee1.xml (deflated 28%)
2022-11-23T01:59:14.4250293Z   adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-f3f29d64359499fe.xml (deflated 29%)
2022-11-23T01:59:14.4250818Z   adding: test/test-reports/python-pytest/test_ops_jit/test_ops_jit-33ca6e204e5b53fe.xml (deflated 29%)
2022-11-23T01:59:14.4251266Z   adding: test/test-reports/python-pytest/test_ops_jit/test_ops_jit-a029d757587ec413.xml (deflated 29%)
2022-11-23T01:59:14.4251716Z   adding: test/test-reports/python-pytest/test_ops_jit/test_ops_jit-848f5efb42fd5cbd.xml (deflated 29%)
2022-11-23T01:59:14.4261848Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_jit.xml (deflated 92%)
2022-11-23T01:59:14.4269841Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml (deflated 93%)
2022-11-23T01:59:14.4286538Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_api.xml (deflated 92%)
2022-11-23T01:59:14.4300179Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml (deflated 92%)
2022-11-23T01:59:14.4300601Z   adding: test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml (deflated 75%)
2022-11-23T01:59:14.4323226Z ##[group]Run # Remove any previous test reports if they exist
2022-11-23T01:59:14.4323529Z # Remove any previous test reports if they exist
2022-11-23T01:59:14.4323762Z rm -f usage-log-*.zip
2022-11-23T01:59:14.4324037Z # this workflow is also run in bazel build test, but we dont generate usage reports for it
2022-11-23T01:59:14.4324323Z # so check to see if the file exists first
2022-11-23T01:59:14.4324539Z if [ -f 'usage_log.txt' ]; then
2022-11-23T01:59:14.4324851Z     zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt'
2022-11-23T01:59:14.4325068Z fi
2022-11-23T01:59:14.4335992Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:59:14.4336210Z env:
2022-11-23T01:59:14.4336389Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:14.4336860Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:14.4337187Z   FILE_SUFFIX: test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984
2022-11-23T01:59:14.4337413Z ##[endgroup]
2022-11-23T01:59:14.4632199Z   adding: usage_log.txt (deflated 97%)
2022-11-23T01:59:14.4666992Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T01:59:14.4667207Z with:
2022-11-23T01:59:14.4667399Z   s3-prefix: pytorch/pytorch/3528293554/1/artifact

2022-11-23T01:59:14.4667616Z   retention-days: 14
2022-11-23T01:59:14.4667807Z   if-no-files-found: warn
2022-11-23T01:59:14.4667991Z   path: test-jsons-*.zip
2022-11-23T01:59:14.4668176Z   name: artifact
2022-11-23T01:59:14.4668362Z   s3-bucket: gha-artifacts
2022-11-23T01:59:14.4668537Z   region: us-east-1
2022-11-23T01:59:14.4668698Z env:
2022-11-23T01:59:14.4668868Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:14.4669131Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:14.4669392Z ##[endgroup]
2022-11-23T01:59:14.8571104Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T01:59:14.8571563Z With the provided path, there will be 1 file uploaded
2022-11-23T01:59:14.8571852Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact
2022-11-23T01:59:14.8621137Z Starting upload of test-jsons-test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984.zip
2022-11-23T01:59:14.9596858Z Finished upload of test-jsons-test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984.zip
2022-11-23T01:59:14.9735501Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T01:59:14.9735728Z with:
2022-11-23T01:59:14.9735921Z   s3-prefix: pytorch/pytorch/3528293554/1/artifact

2022-11-23T01:59:14.9736146Z   retention-days: 14
2022-11-23T01:59:14.9736346Z   if-no-files-found: error
2022-11-23T01:59:14.9736754Z   path: test-reports-*.zip
2022-11-23T01:59:14.9736947Z   name: artifact
2022-11-23T01:59:14.9737131Z   s3-bucket: gha-artifacts
2022-11-23T01:59:14.9737308Z   region: us-east-1
2022-11-23T01:59:14.9737478Z env:
2022-11-23T01:59:14.9737652Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:14.9737919Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:14.9738184Z ##[endgroup]
2022-11-23T01:59:15.3059449Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T01:59:15.3059955Z With the provided path, there will be 1 file uploaded
2022-11-23T01:59:15.3060381Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact
2022-11-23T01:59:15.3068331Z Starting upload of test-reports-test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984.zip
2022-11-23T01:59:15.5379098Z Finished upload of test-reports-test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984.zip
2022-11-23T01:59:15.5515013Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T01:59:15.5515232Z with:
2022-11-23T01:59:15.5515428Z   s3-prefix: pytorch/pytorch/3528293554/1/artifact

2022-11-23T01:59:15.5515647Z   retention-days: 14
2022-11-23T01:59:15.5515845Z   if-no-files-found: ignore
2022-11-23T01:59:15.5516034Z   path: usage-log-*.zip
2022-11-23T01:59:15.5516217Z   name: artifact
2022-11-23T01:59:15.5516396Z   s3-bucket: gha-artifacts
2022-11-23T01:59:15.5516571Z   region: us-east-1
2022-11-23T01:59:15.5516733Z env:
2022-11-23T01:59:15.5516910Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:15.5517174Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:15.5517436Z ##[endgroup]
2022-11-23T01:59:15.8851946Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T01:59:15.8852588Z With the provided path, there will be 1 file uploaded
2022-11-23T01:59:15.8852908Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact
2022-11-23T01:59:15.8860086Z Starting upload of usage-log-test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984.zip
2022-11-23T01:59:16.1150324Z Finished upload of usage-log-test-nogpu_NO_AVX2-1-1-linux.2xlarge_9655198984.zip
2022-11-23T01:59:16.1282790Z ##[group]Run # shellcheck disable=SC2156
2022-11-23T01:59:16.1283036Z # shellcheck disable=SC2156
2022-11-23T01:59:16.1283330Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2022-11-23T01:59:16.1294314Z shell: /usr/bin/bash -e {0}
2022-11-23T01:59:16.1294504Z env:
2022-11-23T01:59:16.1294671Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:16.1294955Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:16.1295220Z ##[endgroup]
2022-11-23T01:59:17.3757911Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1
2022-11-23T01:59:17.3758340Z Copyright (C) 2018 Free Software Foundation, Inc.
2022-11-23T01:59:17.3758781Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2022-11-23T01:59:17.3759266Z This is free software: you are free to change and redistribute it.
2022-11-23T01:59:17.3759869Z There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
2022-11-23T01:59:17.3760298Z and "show warranty" for details.
2022-11-23T01:59:17.3760831Z This GDB was configured as "x86_64-linux-gnu".
2022-11-23T01:59:17.3761114Z Type "show configuration" for configuration details.
2022-11-23T01:59:17.3761369Z For bug reporting instructions, please see:
2022-11-23T01:59:17.3761600Z <http://www.gnu.org/software/gdb/bugs/>.
2022-11-23T01:59:17.3761865Z Find the GDB manual and other documentation resources online at:
2022-11-23T01:59:17.3762139Z <http://www.gnu.org/software/gdb/documentation/>.
2022-11-23T01:59:17.3762354Z For help, type "help".
2022-11-23T01:59:17.3762593Z Type "apropos word" to search for commands related to "word"...
2022-11-23T01:59:17.4931198Z Reading symbols from python...done.
2022-11-23T01:59:17.8799746Z 
2022-11-23T01:59:17.8799999Z warning: core file may not match specified executable file.
2022-11-23T01:59:17.9736827Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:17.9737312Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:17.9737582Z [New LWP 8779]
2022-11-23T01:59:17.9737740Z [New LWP 8784]
2022-11-23T01:59:17.9738016Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:17.9738367Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:17.9738700Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:17.9739047Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:17.9739293Z [New LWP 8786]
2022-11-23T01:59:17.9739453Z [New LWP 8790]
2022-11-23T01:59:17.9741073Z [New LWP 8792]
2022-11-23T01:59:17.9741426Z [New LWP 8794]
2022-11-23T01:59:17.9741749Z [New LWP 8796]
2022-11-23T01:59:17.9741958Z [New LWP 8788]
2022-11-23T01:59:17.9873933Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:17.9874550Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:18.2674386Z [Thread debugging using libthread_db enabled]
2022-11-23T01:59:18.2674870Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2022-11-23T01:59:25.5207743Z 51	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2022-11-23T01:59:25.5208463Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2022-11-23T01:59:25.5209185Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2022-11-23T01:59:25.5209531Z Program terminated with signal SIGSEGV, Segmentation fault.
2022-11-23T01:59:25.5209897Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T01:59:25.5225812Z [Current thread is 1 (Thread 0x7f905fc39240 (LWP 8779))]
2022-11-23T01:59:25.5277577Z To enable execution of this file add
2022-11-23T01:59:25.5278290Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2022-11-23T01:59:25.5278608Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T01:59:25.5278888Z To completely disable this security protection add
2022-11-23T01:59:25.5279151Z 	set auto-load safe-path /
2022-11-23T01:59:25.5279381Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T01:59:25.5279649Z For more information about this security protection see the
2022-11-23T01:59:25.5279997Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2022-11-23T01:59:25.5280300Z 	info "(gdb)Auto-loading safe path"
2022-11-23T01:59:25.5340997Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T01:59:25.5343191Z #1  0x00007f90282f3cbb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2022-11-23T01:59:25.5343619Z    from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so
2022-11-23T01:59:25.5439493Z #2  <signal handler called>
2022-11-23T01:59:25.5440001Z #3  0x00007f905e6f36f0 in string_at (ptr=0x0, size=-1)
2022-11-23T01:59:25.5440542Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564
2022-11-23T01:59:25.5441216Z #4  0x00007f905faee9dd in ffi_call_unix64 ()
2022-11-23T01:59:25.5441571Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T01:59:25.5448485Z #5  0x00007f905faee067 in ffi_call_int ()
2022-11-23T01:59:25.5448819Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T01:59:25.5452681Z #6  0x00007f905e6ffa25 in _call_function_pointer (
2022-11-23T01:59:25.5453022Z     argtypecount=<optimized out>, argcount=2, resmem=0x7ffc7b0ddd80, 
2022-11-23T01:59:25.5453339Z     restype=<optimized out>, atypes=<optimized out>, avalues=<optimized out>, 
2022-11-23T01:59:25.5453612Z     pProc=0x7f905e6f36b5 <string_at>, flags=4357)
2022-11-23T01:59:25.5453936Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916
2022-11-23T01:59:25.5454199Z #7  _ctypes_callproc ()
2022-11-23T01:59:25.5454597Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259
2022-11-23T01:59:25.5454928Z #8  0x00007f905e6fc49f in PyCFuncPtr_call (self=<optimized out>, 
2022-11-23T01:59:25.5455181Z     inargs=<optimized out>, kwds=<optimized out>)
2022-11-23T01:59:25.5455511Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201
2022-11-23T01:59:25.5457066Z #9  0x00005636f1dc852e in _PyObject_MakeTpCall.localalias.3 ()
2022-11-23T01:59:25.5457425Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215
2022-11-23T01:59:25.5472458Z #10 0x00005636f1e6744b in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:25.5472839Z     nargsf=<optimized out>, args=0x7f8fb8ff81b8, callable=<optimized out>, 
2022-11-23T01:59:25.5473076Z     tstate=<optimized out>)
2022-11-23T01:59:25.5473426Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112
2022-11-23T01:59:25.5473696Z #11 PyObject_Vectorcall ()
2022-11-23T01:59:25.5474034Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:25.5476068Z #12 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:25.5476485Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc7b0de0a0, 
2022-11-23T01:59:25.5476911Z     tstate=<optimized out>)
2022-11-23T01:59:25.5477332Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:25.5477590Z #13 _PyEval_EvalFrameDefault ()
2022-11-23T01:59:25.5477972Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:25.5478672Z #14 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5479272Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5479535Z #15 _PyEval_Vector ()
2022-11-23T01:59:25.5479851Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5484102Z #16 0x00005636f1d8b2a5 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:25.5484447Z     nargsf=<optimized out>, args=0x7f8fb9363f80, callable=0x7f905e96f760, 
2022-11-23T01:59:25.5484690Z     tstate=<optimized out>)
2022-11-23T01:59:25.5485044Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:25.5485293Z #17 PyObject_Vectorcall ()
2022-11-23T01:59:25.5485631Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:25.5487331Z #18 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:25.5487722Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc7b0de2d0, 
2022-11-23T01:59:25.5488100Z     tstate=<optimized out>)
2022-11-23T01:59:25.5488550Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:25.5488868Z #19 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:25.5489133Z     throwflag=<optimized out>)
2022-11-23T01:59:25.5489611Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181
2022-11-23T01:59:25.5490147Z #20 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5490776Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5491185Z #21 _PyEval_Vector ()
2022-11-23T01:59:25.5491500Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5511783Z #22 0x00005636f1e1eed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 
2022-11-23T01:59:25.5512307Z     args=0x7ffc7b0de460, callable=0x7f8fb9184820, tstate=0x5636f39e0bf0)
2022-11-23T01:59:25.5512820Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:25.5513205Z #23 vectorcall_unbound ()
2022-11-23T01:59:25.5513549Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627
2022-11-23T01:59:25.5514024Z #24 vectorcall_method (nargs=2, args=0x7ffc7b0de460, name=0x5636f20329e0 <id>)
2022-11-23T01:59:25.5514770Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659
2022-11-23T01:59:25.5515046Z #25 slot_mp_subscript ()
2022-11-23T01:59:25.5515360Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253
2022-11-23T01:59:25.5516391Z #26 0x00005636f1e40656 in PyObject_GetItem.localalias.27 ()
2022-11-23T01:59:25.5516980Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158
2022-11-23T01:59:25.5518107Z #27 0x00005636f1e67d8a in _PyEval_EvalFrameDefault ()
2022-11-23T01:59:25.5518788Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109
2022-11-23T01:59:25.5519870Z #28 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5520572Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5520872Z #29 _PyEval_Vector ()
2022-11-23T01:59:25.5521182Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5526148Z #30 0x00005636f1d8a425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:25.5526714Z     nargsf=<optimized out>, args=0x7f8fb9179cc8, callable=0x7f8fb98656c0, 
2022-11-23T01:59:25.5527010Z     tstate=<optimized out>)
2022-11-23T01:59:25.5527400Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:25.5527671Z #31 PyObject_Vectorcall ()
2022-11-23T01:59:25.5528033Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:25.5528754Z #32 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:25.5529218Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc7b0de7c0, 
2022-11-23T01:59:25.5529509Z     tstate=<optimized out>)
2022-11-23T01:59:25.5529965Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:25.5530443Z #33 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:25.5530818Z     throwflag=<optimized out>)
2022-11-23T01:59:25.5531214Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:25.5531746Z #34 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5532185Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5532447Z #35 _PyEval_Vector ()
2022-11-23T01:59:25.5532753Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5537805Z #36 0x00005636f1d8a9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:25.5538183Z     nargsf=<optimized out>, args=0x5636f8a2c168, callable=0x7f8fbb32a950, 
2022-11-23T01:59:25.5538435Z     tstate=<optimized out>)
2022-11-23T01:59:25.5538777Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:25.5539041Z #37 PyObject_Vectorcall ()
2022-11-23T01:59:25.5539385Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:25.5540904Z #38 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:25.5541363Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc7b0de9f0, 
2022-11-23T01:59:25.5541793Z     tstate=<optimized out>)
2022-11-23T01:59:25.5542321Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:25.5542620Z #39 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:25.5542897Z     throwflag=<optimized out>)
2022-11-23T01:59:25.5543375Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:25.5543791Z #40 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5544162Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5544425Z #41 _PyEval_Vector ()
2022-11-23T01:59:25.5544740Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5561885Z #42 0x00005636f1dcdfaa in PyVectorcall_Call (kwargs=<optimized out>, 
2022-11-23T01:59:25.5562252Z     tuple=0x7f8fb9343920, callable=0x7f8fbb329c60)
2022-11-23T01:59:25.5562651Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255
2022-11-23T01:59:25.5562898Z #43 _PyObject_Call.localalias.1 ()
2022-11-23T01:59:25.5563226Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290
2022-11-23T01:59:25.5568726Z #44 0x00005636f1e69774 in PyObject_Call (kwargs=0x7f905eaba740, 
2022-11-23T01:59:25.5569049Z     args=0x7f8fb9343920, callable=0x7f8fbb329c60)
2022-11-23T01:59:25.5569401Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317
2022-11-23T01:59:25.5574051Z #45 do_call_core (kwdict=0x7f905eaba740, callargs=0x7f8fb9343920, 
2022-11-23T01:59:25.5574382Z     func=0x7f8fbb329c60, trace_info=0x7ffc7b0dec80, tstate=<optimized out>)
2022-11-23T01:59:25.5574828Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919
2022-11-23T01:59:25.5575129Z #46 _PyEval_EvalFrameDefault ()
2022-11-23T01:59:25.5575584Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277
2022-11-23T01:59:25.5575879Z #47 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5576235Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5576662Z #48 _PyEval_Vector ()
2022-11-23T01:59:25.5576980Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5582351Z #49 0x00005636f1d8a9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:25.5583081Z     nargsf=<optimized out>, args=0x5636f8a2d458, callable=0x7f905eae5630, 
2022-11-23T01:59:25.5583394Z     tstate=<optimized out>)
2022-11-23T01:59:25.5583792Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:25.5584051Z #50 PyObject_Vectorcall ()
2022-11-23T01:59:25.5584476Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:25.5585127Z #51 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:25.5585562Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc7b0deeb0, 
2022-11-23T01:59:25.5585861Z     tstate=<optimized out>)
2022-11-23T01:59:25.5586264Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:25.5586609Z #52 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:25.5586917Z     throwflag=<optimized out>)
2022-11-23T01:59:25.5587250Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:25.5587695Z #53 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5588349Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5588764Z #54 _PyEval_Vector ()
2022-11-23T01:59:25.5589087Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5594114Z #55 0x00005636f1d8a9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:25.5594508Z     nargsf=<optimized out>, args=0x5636f3a7d420, callable=0x7f905eae5fc0, 
2022-11-23T01:59:25.5594760Z     tstate=<optimized out>)
2022-11-23T01:59:25.5595123Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:25.5595385Z #56 PyObject_Vectorcall ()
2022-11-23T01:59:25.5595712Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:25.5597178Z #57 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:25.5597664Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc7b0df0e0, 
2022-11-23T01:59:25.5598073Z     tstate=<optimized out>)
2022-11-23T01:59:25.5598673Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:25.5599070Z #58 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:25.5599309Z     throwflag=<optimized out>)
2022-11-23T01:59:25.5599633Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:25.5600104Z #59 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5600553Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5600798Z #60 _PyEval_Vector ()
2022-11-23T01:59:25.5601110Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5606682Z #61 0x00005636f1d8a425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:25.5607185Z     nargsf=<optimized out>, args=0x7f905ec34200, callable=0x7f905e95ed40, 
2022-11-23T01:59:25.5607581Z     tstate=<optimized out>)
2022-11-23T01:59:25.5607939Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:25.5608200Z #62 PyObject_Vectorcall ()
2022-11-23T01:59:25.5608525Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:25.5609456Z #63 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:25.5609827Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc7b0df310, 
2022-11-23T01:59:25.5610101Z     tstate=<optimized out>)
2022-11-23T01:59:25.5610553Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:25.5610984Z #64 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:25.5611352Z     throwflag=<optimized out>)
2022-11-23T01:59:25.5611726Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:25.5612281Z #65 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5612697Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5612952Z #66 _PyEval_Vector ()
2022-11-23T01:59:25.5613253Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5617448Z #67 0x00005636f1d8b0b5 in _PyObject_VectorcallTstate (kwnames=0x7f905ec2bf00, 
2022-11-23T01:59:25.5618139Z     nargsf=<optimized out>, args=<optimized out>, callable=0x7f905e95ecb0, 
2022-11-23T01:59:25.5618448Z     tstate=<optimized out>)
2022-11-23T01:59:25.5618809Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:25.5619074Z #68 PyObject_Vectorcall ()
2022-11-23T01:59:25.5619415Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:25.5620735Z #69 call_function (kwnames=0x7f905ec2bf00, oparg=<optimized out>, 
2022-11-23T01:59:25.5621255Z     pp_stack=<synthetic pointer>, trace_info=0x7ffc7b0df540, 
2022-11-23T01:59:25.5621670Z     tstate=<optimized out>)
2022-11-23T01:59:25.5622039Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:25.5622348Z #70 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:25.5622605Z     throwflag=<optimized out>)
2022-11-23T01:59:25.5622927Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231
2022-11-23T01:59:25.5623715Z #71 0x00005636f1e15742 in _PyEval_EvalFrame ()
2022-11-23T01:59:25.5624129Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:25.5624390Z #72 _PyEval_Vector ()
2022-11-23T01:59:25.5624693Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:25.5640307Z #73 0x00005636f1e24578 in PyEval_EvalCode (co=0x7f905ebcc920, 
2022-11-23T01:59:25.5640809Z     globals=0x7f905ebbe440, locals=<optimized out>)
2022-11-23T01:59:25.5641246Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134
2022-11-23T01:59:25.5642876Z #74 0x00005636f1eda8fb in run_eval_code_obj ()
2022-11-23T01:59:25.5643555Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291
2022-11-23T01:59:25.5646628Z #75 0x00005636f1f133a5 in run_mod ()
2022-11-23T01:59:25.5647254Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312
2022-11-23T01:59:25.5649690Z #76 0x00005636f1f181ca in PyRun_StringFlags.localalias.3 ()
2022-11-23T01:59:25.5650391Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183
2022-11-23T01:59:25.5652361Z #77 0x00005636f1f1822c in PyRun_SimpleStringFlags.localalias.9 ()
2022-11-23T01:59:25.5653071Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503
2022-11-23T01:59:25.5670532Z #78 0x00005636f1f186cd in pymain_run_command (command=<optimized out>)
2022-11-23T01:59:25.5671207Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252
2022-11-23T01:59:25.5673103Z #79 pymain_run_python (exitcode=0x7ffc7b0df810)
2022-11-23T01:59:25.5673521Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582
2022-11-23T01:59:25.5673793Z #80 Py_RunMain.localalias.0 ()
2022-11-23T01:59:25.5674126Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670
2022-11-23T01:59:25.5675553Z #81 0x00005636f1f187d9 in Py_BytesMain ()
2022-11-23T01:59:25.5675938Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083
2022-11-23T01:59:25.5695425Z #82 0x00007f905ec9dc87 in __libc_start_main (main=0x5636f1dab650 <main>, 
2022-11-23T01:59:25.5695959Z     argc=5, argv=0x7ffc7b0dfa18, init=<optimized out>, fini=<optimized out>, 
2022-11-23T01:59:25.5696731Z     rtld_fini=<optimized out>, stack_end=0x7ffc7b0dfa08)
2022-11-23T01:59:25.5697036Z     at ../csu/libc-start.c:310
2022-11-23T01:59:25.5697827Z #83 0x00005636f1e985d4 in _start ()
2022-11-23T01:59:25.7251301Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1
2022-11-23T01:59:25.7251871Z Copyright (C) 2018 Free Software Foundation, Inc.
2022-11-23T01:59:25.7252258Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2022-11-23T01:59:25.7252581Z This is free software: you are free to change and redistribute it.
2022-11-23T01:59:25.7252938Z There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
2022-11-23T01:59:25.7253193Z and "show warranty" for details.
2022-11-23T01:59:25.7253487Z This GDB was configured as "x86_64-linux-gnu".
2022-11-23T01:59:25.7253727Z Type "show configuration" for configuration details.
2022-11-23T01:59:25.7253981Z For bug reporting instructions, please see:
2022-11-23T01:59:25.7254220Z <http://www.gnu.org/software/gdb/bugs/>.
2022-11-23T01:59:25.7254475Z Find the GDB manual and other documentation resources online at:
2022-11-23T01:59:25.7254747Z <http://www.gnu.org/software/gdb/documentation/>.
2022-11-23T01:59:25.7254973Z For help, type "help".
2022-11-23T01:59:25.7255198Z Type "apropos word" to search for commands related to "word"...
2022-11-23T01:59:25.8133493Z Reading symbols from python...done.
2022-11-23T01:59:26.1554926Z 
2022-11-23T01:59:26.1555218Z warning: core file may not match specified executable file.
2022-11-23T01:59:26.2397032Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:26.2397630Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:26.2398081Z [New LWP 8780]
2022-11-23T01:59:26.2398353Z [New LWP 8783]
2022-11-23T01:59:26.2398937Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:26.2399677Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:26.2400239Z [New LWP 8789]
2022-11-23T01:59:26.2400514Z [New LWP 8787]
2022-11-23T01:59:26.2400993Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:26.2401420Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:26.2401671Z [New LWP 8785]
2022-11-23T01:59:26.2401846Z [New LWP 8791]
2022-11-23T01:59:26.2402000Z [New LWP 8793]
2022-11-23T01:59:26.2402166Z [New LWP 8795]
2022-11-23T01:59:26.2411528Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:26.2412117Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:26.4663527Z [Thread debugging using libthread_db enabled]
2022-11-23T01:59:26.4664033Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2022-11-23T01:59:33.0777230Z 51	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2022-11-23T01:59:33.0777885Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2022-11-23T01:59:33.0778392Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2022-11-23T01:59:33.0778738Z Program terminated with signal SIGSEGV, Segmentation fault.
2022-11-23T01:59:33.0779039Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T01:59:33.0779314Z [Current thread is 1 (Thread 0x7f7d1a563240 (LWP 8780))]
2022-11-23T01:59:33.0808248Z To enable execution of this file add
2022-11-23T01:59:33.0808818Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2022-11-23T01:59:33.0809353Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T01:59:33.0809825Z To completely disable this security protection add
2022-11-23T01:59:33.0810092Z 	set auto-load safe-path /
2022-11-23T01:59:33.0810409Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T01:59:33.0810683Z For more information about this security protection see the
2022-11-23T01:59:33.0811025Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2022-11-23T01:59:33.0811326Z 	info "(gdb)Auto-loading safe path"
2022-11-23T01:59:33.0851802Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T01:59:33.0853621Z #1  0x00007f7ce2c1dcbb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2022-11-23T01:59:33.0854114Z    from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so
2022-11-23T01:59:33.0944601Z #2  <signal handler called>
2022-11-23T01:59:33.0945101Z #3  0x00007f7d1901d6f0 in string_at (ptr=0x0, size=-1)
2022-11-23T01:59:33.0945629Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564
2022-11-23T01:59:33.0946517Z #4  0x00007f7d1a4189dd in ffi_call_unix64 ()
2022-11-23T01:59:33.0947083Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T01:59:33.0953341Z #5  0x00007f7d1a418067 in ffi_call_int ()
2022-11-23T01:59:33.0953886Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T01:59:33.0957440Z #6  0x00007f7d19029a25 in _call_function_pointer (
2022-11-23T01:59:33.0957920Z     argtypecount=<optimized out>, argcount=2, resmem=0x7fff4d5349a0, 
2022-11-23T01:59:33.0958466Z     restype=<optimized out>, atypes=<optimized out>, avalues=<optimized out>, 
2022-11-23T01:59:33.0958862Z     pProc=0x7f7d1901d6b5 <string_at>, flags=4357)
2022-11-23T01:59:33.0959293Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916
2022-11-23T01:59:33.0959643Z #7  _ctypes_callproc ()
2022-11-23T01:59:33.0960212Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259
2022-11-23T01:59:33.0960591Z #8  0x00007f7d1902649f in PyCFuncPtr_call (self=<optimized out>, 
2022-11-23T01:59:33.0960926Z     inargs=<optimized out>, kwds=<optimized out>)
2022-11-23T01:59:33.0961330Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201
2022-11-23T01:59:33.0961806Z #9  0x000055630b46552e in _PyObject_MakeTpCall.localalias.3 ()
2022-11-23T01:59:33.0962404Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215
2022-11-23T01:59:33.0968002Z #10 0x000055630b50444b in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:33.0968537Z     nargsf=<optimized out>, args=0x7f7c7395c1b8, callable=<optimized out>, 
2022-11-23T01:59:33.0968944Z     tstate=<optimized out>)
2022-11-23T01:59:33.0969293Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112
2022-11-23T01:59:33.0969544Z #11 PyObject_Vectorcall ()
2022-11-23T01:59:33.0969886Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:33.0971502Z #12 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:33.0971808Z     pp_stack=<synthetic pointer>, trace_info=0x7fff4d534cc0, 
2022-11-23T01:59:33.0972043Z     tstate=<optimized out>)
2022-11-23T01:59:33.0972378Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:33.0972638Z #13 _PyEval_EvalFrameDefault ()
2022-11-23T01:59:33.0973005Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:33.0973410Z #14 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.0973831Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.0974079Z #15 _PyEval_Vector ()
2022-11-23T01:59:33.0974392Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.0980289Z #16 0x000055630b4282a5 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:33.0980640Z     nargsf=<optimized out>, args=0x7f7c73ccbf80, callable=0x7f7d192a3760, 
2022-11-23T01:59:33.0981004Z     tstate=<optimized out>)
2022-11-23T01:59:33.0981355Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:33.0981677Z #17 PyObject_Vectorcall ()
2022-11-23T01:59:33.0982005Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:33.0984061Z #18 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:33.0984404Z     pp_stack=<synthetic pointer>, trace_info=0x7fff4d534ef0, 
2022-11-23T01:59:33.0984696Z     tstate=<optimized out>)
2022-11-23T01:59:33.0985177Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:33.0985593Z #19 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:33.0985849Z     throwflag=<optimized out>)
2022-11-23T01:59:33.0986202Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181
2022-11-23T01:59:33.0986668Z #20 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.0987117Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.0987379Z #21 _PyEval_Vector ()
2022-11-23T01:59:33.0987682Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.0995149Z #22 0x000055630b4bbed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 
2022-11-23T01:59:33.0995487Z     args=0x7fff4d535080, callable=0x7f7c738f4820, tstate=0x55630d47fbf0)
2022-11-23T01:59:33.0995888Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:33.0996150Z #23 vectorcall_unbound ()
2022-11-23T01:59:33.0996483Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627
2022-11-23T01:59:33.0997279Z #24 vectorcall_method (nargs=2, args=0x7fff4d535080, name=0x55630b6cf9e0 <id>)
2022-11-23T01:59:33.0997737Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659
2022-11-23T01:59:33.0997996Z #25 slot_mp_subscript ()
2022-11-23T01:59:33.0998324Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253
2022-11-23T01:59:33.0999123Z #26 0x000055630b4dd656 in PyObject_GetItem.localalias.27 ()
2022-11-23T01:59:33.0999573Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158
2022-11-23T01:59:33.1001568Z #27 0x000055630b504d8a in _PyEval_EvalFrameDefault ()
2022-11-23T01:59:33.1001924Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109
2022-11-23T01:59:33.1003339Z #28 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.1003800Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.1004059Z #29 _PyEval_Vector ()
2022-11-23T01:59:33.1004373Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.1009570Z #30 0x000055630b427425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:33.1010075Z     nargsf=<optimized out>, args=0x7f7c738e5cc8, callable=0x7f7c741cd6c0, 
2022-11-23T01:59:33.1010469Z     tstate=<optimized out>)
2022-11-23T01:59:33.1010816Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:33.1011078Z #31 PyObject_Vectorcall ()
2022-11-23T01:59:33.1011414Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:33.1012277Z #32 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:33.1012710Z     pp_stack=<synthetic pointer>, trace_info=0x7fff4d5353e0, 
2022-11-23T01:59:33.1013137Z     tstate=<optimized out>)
2022-11-23T01:59:33.1013724Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:33.1014151Z #33 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:33.1014401Z     throwflag=<optimized out>)
2022-11-23T01:59:33.1014838Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:33.1015429Z #34 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.1015894Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.1016156Z #35 _PyEval_Vector ()
2022-11-23T01:59:33.1016665Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.1021098Z #36 0x000055630b4279f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:33.1021576Z     nargsf=<optimized out>, args=0x55630d4d5de8, callable=0x7f7c75c66950, 
2022-11-23T01:59:33.1022024Z     tstate=<optimized out>)
2022-11-23T01:59:33.1022454Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:33.1022703Z #37 PyObject_Vectorcall ()
2022-11-23T01:59:33.1023042Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:33.1023830Z #38 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:33.1024301Z     pp_stack=<synthetic pointer>, trace_info=0x7fff4d535610, 
2022-11-23T01:59:33.1024672Z     tstate=<optimized out>)
2022-11-23T01:59:33.1025172Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:33.1025704Z #39 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:33.1025946Z     throwflag=<optimized out>)
2022-11-23T01:59:33.1026304Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:33.1026765Z #40 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.1027331Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.1027586Z #41 _PyEval_Vector ()
2022-11-23T01:59:33.1027896Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.1031878Z #42 0x000055630b46afaa in PyVectorcall_Call (kwargs=<optimized out>, 
2022-11-23T01:59:33.1032493Z     tuple=0x7f7c73cab920, callable=0x7f7c75c65c60)
2022-11-23T01:59:33.1032927Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255
2022-11-23T01:59:33.1033189Z #43 _PyObject_Call.localalias.1 ()
2022-11-23T01:59:33.1033504Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290
2022-11-23T01:59:33.1037954Z #44 0x000055630b506774 in PyObject_Call (kwargs=0x7f7d193ea740, 
2022-11-23T01:59:33.1038223Z     args=0x7f7c73cab920, callable=0x7f7c75c65c60)
2022-11-23T01:59:33.1038553Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317
2022-11-23T01:59:33.1043246Z #45 do_call_core (kwdict=0x7f7d193ea740, callargs=0x7f7c73cab920, 
2022-11-23T01:59:33.1043546Z     func=0x7f7c75c65c60, trace_info=0x7fff4d5358a0, tstate=<optimized out>)
2022-11-23T01:59:33.1043969Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919
2022-11-23T01:59:33.1044252Z #46 _PyEval_EvalFrameDefault ()
2022-11-23T01:59:33.1044585Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277
2022-11-23T01:59:33.1044923Z #47 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.1045312Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.1045559Z #48 _PyEval_Vector ()
2022-11-23T01:59:33.1045867Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.1051358Z #49 0x000055630b4279f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:33.1051730Z     nargsf=<optimized out>, args=0x55631245c0d8, callable=0x7f7d19415630, 
2022-11-23T01:59:33.1051974Z     tstate=<optimized out>)
2022-11-23T01:59:33.1052324Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:33.1052591Z #50 PyObject_Vectorcall ()
2022-11-23T01:59:33.1052917Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:33.1054427Z #51 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:33.1054823Z     pp_stack=<synthetic pointer>, trace_info=0x7fff4d535ad0, 
2022-11-23T01:59:33.1055244Z     tstate=<optimized out>)
2022-11-23T01:59:33.1055654Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:33.1055977Z #52 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:33.1056232Z     throwflag=<optimized out>)
2022-11-23T01:59:33.1056690Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:33.1057564Z #53 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.1058036Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.1058283Z #54 _PyEval_Vector ()
2022-11-23T01:59:33.1058595Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.1063971Z #55 0x000055630b4279f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:33.1064460Z     nargsf=<optimized out>, args=0x55630d51c420, callable=0x7f7d19415fc0, 
2022-11-23T01:59:33.1064891Z     tstate=<optimized out>)
2022-11-23T01:59:33.1065276Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:33.1065537Z #56 PyObject_Vectorcall ()
2022-11-23T01:59:33.1065863Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:33.1067244Z #57 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:33.1067613Z     pp_stack=<synthetic pointer>, trace_info=0x7fff4d535d00, 
2022-11-23T01:59:33.1067942Z     tstate=<optimized out>)
2022-11-23T01:59:33.1068373Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:33.1068745Z #58 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:33.1069005Z     throwflag=<optimized out>)
2022-11-23T01:59:33.1069353Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:33.1070348Z #59 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.1070725Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.1070986Z #60 _PyEval_Vector ()
2022-11-23T01:59:33.1071286Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.1076778Z #61 0x000055630b427425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:33.1077062Z     nargsf=<optimized out>, args=0x7f7d19560200, callable=0x7f7d19296d40, 
2022-11-23T01:59:33.1077289Z     tstate=<optimized out>)
2022-11-23T01:59:33.1077638Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:33.1077899Z #62 PyObject_Vectorcall ()
2022-11-23T01:59:33.1078241Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:33.1079642Z #63 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:33.1080013Z     pp_stack=<synthetic pointer>, trace_info=0x7fff4d535f30, 
2022-11-23T01:59:33.1080284Z     tstate=<optimized out>)
2022-11-23T01:59:33.1080599Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:33.1081058Z #64 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:33.1081312Z     throwflag=<optimized out>)
2022-11-23T01:59:33.1081711Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:33.1082335Z #65 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.1082782Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.1083042Z #66 _PyEval_Vector ()
2022-11-23T01:59:33.1083344Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.1087505Z #67 0x000055630b4280b5 in _PyObject_VectorcallTstate (kwnames=0x7f7d19557f00, 
2022-11-23T01:59:33.1087920Z     nargsf=<optimized out>, args=<optimized out>, callable=0x7f7d19296cb0, 
2022-11-23T01:59:33.1088169Z     tstate=<optimized out>)
2022-11-23T01:59:33.1088560Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:33.1088822Z #68 PyObject_Vectorcall ()
2022-11-23T01:59:33.1089157Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:33.1090700Z #69 call_function (kwnames=0x7f7d19557f00, oparg=<optimized out>, 
2022-11-23T01:59:33.1091078Z     pp_stack=<synthetic pointer>, trace_info=0x7fff4d536160, 
2022-11-23T01:59:33.1091423Z     tstate=<optimized out>)
2022-11-23T01:59:33.1091752Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:33.1092047Z #70 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:33.1092296Z     throwflag=<optimized out>)
2022-11-23T01:59:33.1092620Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231
2022-11-23T01:59:33.1094036Z #71 0x000055630b4b2742 in _PyEval_EvalFrame ()
2022-11-23T01:59:33.1094830Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:33.1095116Z #72 _PyEval_Vector ()
2022-11-23T01:59:33.1095430Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:33.1100933Z #73 0x000055630b4c1578 in PyEval_EvalCode (co=0x7f7d194f8920, 
2022-11-23T01:59:33.1101275Z     globals=0x7f7d194ea440, locals=<optimized out>)
2022-11-23T01:59:33.1101702Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134
2022-11-23T01:59:33.1103465Z #74 0x000055630b5778fb in run_eval_code_obj ()
2022-11-23T01:59:33.1103913Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291
2022-11-23T01:59:33.1106918Z #75 0x000055630b5b03a5 in run_mod ()
2022-11-23T01:59:33.1107342Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312
2022-11-23T01:59:33.1110216Z #76 0x000055630b5b51ca in PyRun_StringFlags.localalias.3 ()
2022-11-23T01:59:33.1110646Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183
2022-11-23T01:59:33.1113260Z #77 0x000055630b5b522c in PyRun_SimpleStringFlags.localalias.9 ()
2022-11-23T01:59:33.1113719Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503
2022-11-23T01:59:33.1116533Z #78 0x000055630b5b56cd in pymain_run_command (command=<optimized out>)
2022-11-23T01:59:33.1116944Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252
2022-11-23T01:59:33.1119033Z #79 pymain_run_python (exitcode=0x7fff4d536430)
2022-11-23T01:59:33.1119637Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582
2022-11-23T01:59:33.1120032Z #80 Py_RunMain.localalias.0 ()
2022-11-23T01:59:33.1120358Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670
2022-11-23T01:59:33.1121814Z #81 0x000055630b5b57d9 in Py_BytesMain ()
2022-11-23T01:59:33.1122394Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083
2022-11-23T01:59:33.1140849Z #82 0x00007f7d195c7c87 in __libc_start_main (main=0x55630b448650 <main>, 
2022-11-23T01:59:33.1141349Z     argc=5, argv=0x7fff4d536638, init=<optimized out>, fini=<optimized out>, 
2022-11-23T01:59:33.1141795Z     rtld_fini=<optimized out>, stack_end=0x7fff4d536628)
2022-11-23T01:59:33.1142052Z     at ../csu/libc-start.c:310
2022-11-23T01:59:33.1143219Z #83 0x000055630b5355d4 in _start ()
2022-11-23T01:59:33.2762610Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1
2022-11-23T01:59:33.2762891Z Copyright (C) 2018 Free Software Foundation, Inc.
2022-11-23T01:59:33.2763321Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2022-11-23T01:59:33.2763759Z This is free software: you are free to change and redistribute it.
2022-11-23T01:59:33.2764103Z There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
2022-11-23T01:59:33.2764561Z and "show warranty" for details.
2022-11-23T01:59:33.2764859Z This GDB was configured as "x86_64-linux-gnu".
2022-11-23T01:59:33.2765184Z Type "show configuration" for configuration details.
2022-11-23T01:59:33.2765428Z For bug reporting instructions, please see:
2022-11-23T01:59:33.2765669Z <http://www.gnu.org/software/gdb/bugs/>.
2022-11-23T01:59:33.2765932Z Find the GDB manual and other documentation resources online at:
2022-11-23T01:59:33.2766193Z <http://www.gnu.org/software/gdb/documentation/>.
2022-11-23T01:59:33.2766416Z For help, type "help".
2022-11-23T01:59:33.2766649Z Type "apropos word" to search for commands related to "word"...
2022-11-23T01:59:33.3631731Z Reading symbols from python...done.
2022-11-23T01:59:33.7400383Z 
2022-11-23T01:59:33.7400666Z warning: core file may not match specified executable file.
2022-11-23T01:59:33.8331084Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:33.8331540Z [New LWP 9421]
2022-11-23T01:59:33.8331841Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:33.8332190Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:33.8332549Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:33.8332892Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:33.8333236Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:33.8333470Z [New LWP 9424]
2022-11-23T01:59:33.8333637Z [New LWP 9429]
2022-11-23T01:59:33.8333802Z [New LWP 9426]
2022-11-23T01:59:33.8333952Z [New LWP 9428]
2022-11-23T01:59:33.8334113Z [New LWP 9433]
2022-11-23T01:59:33.8334276Z [New LWP 9431]
2022-11-23T01:59:33.8334426Z [New LWP 9434]
2022-11-23T01:59:33.8344529Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:33.8345103Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:34.0599397Z [Thread debugging using libthread_db enabled]
2022-11-23T01:59:34.0599839Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2022-11-23T01:59:40.6127477Z 51	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2022-11-23T01:59:40.6128115Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2022-11-23T01:59:40.6128637Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2022-11-23T01:59:40.6128962Z Program terminated with signal SIGSEGV, Segmentation fault.
2022-11-23T01:59:40.6129287Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T01:59:40.6129557Z [Current thread is 1 (Thread 0x7f22e7e31240 (LWP 9421))]
2022-11-23T01:59:40.6158940Z To enable execution of this file add
2022-11-23T01:59:40.6159369Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2022-11-23T01:59:40.6159656Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T01:59:40.6159916Z To completely disable this security protection add
2022-11-23T01:59:40.6160165Z 	set auto-load safe-path /
2022-11-23T01:59:40.6160406Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T01:59:40.6160680Z For more information about this security protection see the
2022-11-23T01:59:40.6161032Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2022-11-23T01:59:40.6161321Z 	info "(gdb)Auto-loading safe path"
2022-11-23T01:59:40.6202462Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T01:59:40.6204420Z #1  0x00007f22b04ebcbb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2022-11-23T01:59:40.6204871Z    from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so
2022-11-23T01:59:40.6293070Z #2  <signal handler called>
2022-11-23T01:59:40.6293524Z #3  0x00007f22e68eb6f0 in string_at (ptr=0x0, size=-1)
2022-11-23T01:59:40.6293884Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564
2022-11-23T01:59:40.6295223Z #4  0x00007f22e7ce69dd in ffi_call_unix64 ()
2022-11-23T01:59:40.6295551Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T01:59:40.6302480Z #5  0x00007f22e7ce6067 in ffi_call_int ()
2022-11-23T01:59:40.6302878Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T01:59:40.6306883Z #6  0x00007f22e68f7a25 in _call_function_pointer (
2022-11-23T01:59:40.6307304Z     argtypecount=<optimized out>, argcount=2, resmem=0x7fff6df37d20, 
2022-11-23T01:59:40.6307673Z     restype=<optimized out>, atypes=<optimized out>, avalues=<optimized out>, 
2022-11-23T01:59:40.6307937Z     pProc=0x7f22e68eb6b5 <string_at>, flags=4357)
2022-11-23T01:59:40.6308281Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916
2022-11-23T01:59:40.6308523Z #7  _ctypes_callproc ()
2022-11-23T01:59:40.6308818Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259
2022-11-23T01:59:40.6309670Z #8  0x00007f22e68f449f in PyCFuncPtr_call (self=<optimized out>, 
2022-11-23T01:59:40.6310117Z     inargs=<optimized out>, kwds=<optimized out>)
2022-11-23T01:59:40.6310536Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201
2022-11-23T01:59:40.6311456Z #9  0x000055813e74a52e in _PyObject_MakeTpCall.localalias.3 ()
2022-11-23T01:59:40.6311823Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215
2022-11-23T01:59:40.6318023Z #10 0x000055813e7e944b in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:40.6318366Z     nargsf=<optimized out>, args=0x7f22411ec1b8, callable=<optimized out>, 
2022-11-23T01:59:40.6318620Z     tstate=<optimized out>)
2022-11-23T01:59:40.6318991Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112
2022-11-23T01:59:40.6319261Z #11 PyObject_Vectorcall ()
2022-11-23T01:59:40.6319590Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:40.6321811Z #12 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:40.6322163Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6df38040, 
2022-11-23T01:59:40.6322455Z     tstate=<optimized out>)
2022-11-23T01:59:40.6322781Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:40.6323040Z #13 _PyEval_EvalFrameDefault ()
2022-11-23T01:59:40.6323414Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:40.6324145Z #14 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6324807Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6325175Z #15 _PyEval_Vector ()
2022-11-23T01:59:40.6325491Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6330134Z #16 0x000055813e70d2a5 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:40.6330537Z     nargsf=<optimized out>, args=0x7f224155bf80, callable=0x7f22e6b67760, 
2022-11-23T01:59:40.6330779Z     tstate=<optimized out>)
2022-11-23T01:59:40.6331138Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:40.6331386Z #17 PyObject_Vectorcall ()
2022-11-23T01:59:40.6331732Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:40.6333768Z #18 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:40.6334146Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6df38270, 
2022-11-23T01:59:40.6334404Z     tstate=<optimized out>)
2022-11-23T01:59:40.6335042Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:40.6335357Z #19 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:40.6335860Z     throwflag=<optimized out>)
2022-11-23T01:59:40.6336351Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181
2022-11-23T01:59:40.6337043Z #20 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6337561Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6337817Z #21 _PyEval_Vector ()
2022-11-23T01:59:40.6338129Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6346108Z #22 0x000055813e7a0ed5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 
2022-11-23T01:59:40.6346651Z     args=0x7fff6df38400, callable=0x7f2241380820, tstate=0x558140296bf0)
2022-11-23T01:59:40.6347117Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:40.6347380Z #23 vectorcall_unbound ()
2022-11-23T01:59:40.6347699Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627
2022-11-23T01:59:40.6348452Z #24 vectorcall_method (nargs=2, args=0x7fff6df38400, name=0x55813e9b49e0 <id>)
2022-11-23T01:59:40.6349139Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659
2022-11-23T01:59:40.6349482Z #25 slot_mp_subscript ()
2022-11-23T01:59:40.6349811Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253
2022-11-23T01:59:40.6350367Z #26 0x000055813e7c2656 in PyObject_GetItem.localalias.27 ()
2022-11-23T01:59:40.6351024Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158
2022-11-23T01:59:40.6352876Z #27 0x000055813e7e9d8a in _PyEval_EvalFrameDefault ()
2022-11-23T01:59:40.6353550Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109
2022-11-23T01:59:40.6354911Z #28 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6355615Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6356054Z #29 _PyEval_Vector ()
2022-11-23T01:59:40.6356372Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6361195Z #30 0x000055813e70c425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:40.6361733Z     nargsf=<optimized out>, args=0x7f2241371cc8, callable=0x7f2241a5d6c0, 
2022-11-23T01:59:40.6362138Z     tstate=<optimized out>)
2022-11-23T01:59:40.6362816Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:40.6363099Z #31 PyObject_Vectorcall ()
2022-11-23T01:59:40.6363429Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:40.6364017Z #32 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:40.6364504Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6df38760, 
2022-11-23T01:59:40.6364895Z     tstate=<optimized out>)
2022-11-23T01:59:40.6365260Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:40.6365824Z #33 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:40.6366255Z     throwflag=<optimized out>)
2022-11-23T01:59:40.6366572Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:40.6366840Z #34 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6367258Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6367500Z #35 _PyEval_Vector ()
2022-11-23T01:59:40.6367813Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6373104Z #36 0x000055813e70c9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:40.6373502Z     nargsf=<optimized out>, args=0x5581452e1968, callable=0x7f2243522950, 
2022-11-23T01:59:40.6373861Z     tstate=<optimized out>)
2022-11-23T01:59:40.6374221Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:40.6374541Z #37 PyObject_Vectorcall ()
2022-11-23T01:59:40.6374870Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:40.6375875Z #38 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:40.6376244Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6df38990, 
2022-11-23T01:59:40.6376731Z     tstate=<optimized out>)
2022-11-23T01:59:40.6377167Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:40.6377488Z #39 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:40.6377803Z     throwflag=<optimized out>)
2022-11-23T01:59:40.6378193Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:40.6378674Z #40 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6379130Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6379386Z #41 _PyEval_Vector ()
2022-11-23T01:59:40.6379692Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6384203Z #42 0x000055813e74ffaa in PyVectorcall_Call (kwargs=<optimized out>, 
2022-11-23T01:59:40.6384558Z     tuple=0x7f2241537920, callable=0x7f2243521c60)
2022-11-23T01:59:40.6384893Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255
2022-11-23T01:59:40.6385155Z #43 _PyObject_Call.localalias.1 ()
2022-11-23T01:59:40.6385483Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290
2022-11-23T01:59:40.6390469Z #44 0x000055813e7eb774 in PyObject_Call (kwargs=0x7f22e6cb27c0, 
2022-11-23T01:59:40.6390880Z     args=0x7f2241537920, callable=0x7f2243521c60)
2022-11-23T01:59:40.6391438Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317
2022-11-23T01:59:40.6395806Z #45 do_call_core (kwdict=0x7f22e6cb27c0, callargs=0x7f2241537920, 
2022-11-23T01:59:40.6396326Z     func=0x7f2243521c60, trace_info=0x7fff6df38c20, tstate=<optimized out>)
2022-11-23T01:59:40.6396831Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919
2022-11-23T01:59:40.6397233Z #46 _PyEval_EvalFrameDefault ()
2022-11-23T01:59:40.6397814Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277
2022-11-23T01:59:40.6398231Z #47 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6398589Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6398840Z #48 _PyEval_Vector ()
2022-11-23T01:59:40.6399138Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6403686Z #49 0x000055813e70c9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:40.6404193Z     nargsf=<optimized out>, args=0x5581452e2c58, callable=0x7f22e6cdd630, 
2022-11-23T01:59:40.6404647Z     tstate=<optimized out>)
2022-11-23T01:59:40.6405016Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:40.6405279Z #50 PyObject_Vectorcall ()
2022-11-23T01:59:40.6405618Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:40.6406868Z #51 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:40.6407340Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6df38e50, 
2022-11-23T01:59:40.6407773Z     tstate=<optimized out>)
2022-11-23T01:59:40.6408159Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:40.6408461Z #52 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:40.6408710Z     throwflag=<optimized out>)
2022-11-23T01:59:40.6409035Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:40.6409689Z #53 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6410099Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6410469Z #54 _PyEval_Vector ()
2022-11-23T01:59:40.6410785Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6416836Z #55 0x000055813e70c9f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:40.6417407Z     nargsf=<optimized out>, args=0x558140333420, callable=0x7f22e6cddfc0, 
2022-11-23T01:59:40.6417789Z     tstate=<optimized out>)
2022-11-23T01:59:40.6418195Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:40.6418448Z #56 PyObject_Vectorcall ()
2022-11-23T01:59:40.6418899Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:40.6419522Z #57 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:40.6419996Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6df39080, 
2022-11-23T01:59:40.6420420Z     tstate=<optimized out>)
2022-11-23T01:59:40.6421044Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:40.6421378Z #58 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:40.6421630Z     throwflag=<optimized out>)
2022-11-23T01:59:40.6422094Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:40.6422517Z #59 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6422922Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6423176Z #60 _PyEval_Vector ()
2022-11-23T01:59:40.6423488Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6428719Z #61 0x000055813e70c425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:40.6429058Z     nargsf=<optimized out>, args=0x7f22e6e2c200, callable=0x7f22e6b56d40, 
2022-11-23T01:59:40.6429308Z     tstate=<optimized out>)
2022-11-23T01:59:40.6429663Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:40.6429914Z #62 PyObject_Vectorcall ()
2022-11-23T01:59:40.6430252Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:40.6431624Z #63 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:40.6431975Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6df392b0, 
2022-11-23T01:59:40.6432209Z     tstate=<optimized out>)
2022-11-23T01:59:40.6432628Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:40.6433025Z #64 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:40.6433315Z     throwflag=<optimized out>)
2022-11-23T01:59:40.6433661Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:40.6434074Z #65 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6434538Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6434804Z #66 _PyEval_Vector ()
2022-11-23T01:59:40.6435119Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6439726Z #67 0x000055813e70d0b5 in _PyObject_VectorcallTstate (kwnames=0x7f22e6e23f00, 
2022-11-23T01:59:40.6440174Z     nargsf=<optimized out>, args=<optimized out>, callable=0x7f22e6b56cb0, 
2022-11-23T01:59:40.6440476Z     tstate=<optimized out>)
2022-11-23T01:59:40.6440835Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:40.6441086Z #68 PyObject_Vectorcall ()
2022-11-23T01:59:40.6441426Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:40.6442904Z #69 call_function (kwnames=0x7f22e6e23f00, oparg=<optimized out>, 
2022-11-23T01:59:40.6443399Z     pp_stack=<synthetic pointer>, trace_info=0x7fff6df394e0, 
2022-11-23T01:59:40.6443757Z     tstate=<optimized out>)
2022-11-23T01:59:40.6444320Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:40.6444919Z #70 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:40.6445238Z     throwflag=<optimized out>)
2022-11-23T01:59:40.6445670Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231
2022-11-23T01:59:40.6446138Z #71 0x000055813e797742 in _PyEval_EvalFrame ()
2022-11-23T01:59:40.6446793Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:40.6447243Z #72 _PyEval_Vector ()
2022-11-23T01:59:40.6447811Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:40.6451715Z #73 0x000055813e7a6578 in PyEval_EvalCode (co=0x7f22e6dc4920, 
2022-11-23T01:59:40.6452095Z     globals=0x7f22e6db6440, locals=<optimized out>)
2022-11-23T01:59:40.6452755Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134
2022-11-23T01:59:40.6454372Z #74 0x000055813e85c8fb in run_eval_code_obj ()
2022-11-23T01:59:40.6455050Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291
2022-11-23T01:59:40.6457421Z #75 0x000055813e8953a5 in run_mod ()
2022-11-23T01:59:40.6458096Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312
2022-11-23T01:59:40.6460171Z #76 0x000055813e89a1ca in PyRun_StringFlags.localalias.3 ()
2022-11-23T01:59:40.6460855Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183
2022-11-23T01:59:40.6463163Z #77 0x000055813e89a22c in PyRun_SimpleStringFlags.localalias.9 ()
2022-11-23T01:59:40.6463660Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503
2022-11-23T01:59:40.6465589Z #78 0x000055813e89a6cd in pymain_run_command (command=<optimized out>)
2022-11-23T01:59:40.6465964Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252
2022-11-23T01:59:40.6467893Z #79 pymain_run_python (exitcode=0x7fff6df397b0)
2022-11-23T01:59:40.6468581Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582
2022-11-23T01:59:40.6468898Z #80 Py_RunMain.localalias.0 ()
2022-11-23T01:59:40.6469213Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670
2022-11-23T01:59:40.6470264Z #81 0x000055813e89a7d9 in Py_BytesMain ()
2022-11-23T01:59:40.6489580Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083
2022-11-23T01:59:40.6490121Z #82 0x00007f22e6e95c87 in __libc_start_main (main=0x55813e72d650 <main>, 
2022-11-23T01:59:40.6490476Z     argc=5, argv=0x7fff6df399b8, init=<optimized out>, fini=<optimized out>, 
2022-11-23T01:59:40.6490759Z     rtld_fini=<optimized out>, stack_end=0x7fff6df399a8)
2022-11-23T01:59:40.6491023Z     at ../csu/libc-start.c:310
2022-11-23T01:59:40.6491874Z #83 0x000055813e81a5d4 in _start ()
2022-11-23T01:59:40.8043646Z GNU gdb (Ubuntu 8.1.1-0ubuntu1) 8.1.1
2022-11-23T01:59:40.8044293Z Copyright (C) 2018 Free Software Foundation, Inc.
2022-11-23T01:59:40.8044946Z License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
2022-11-23T01:59:40.8045500Z This is free software: you are free to change and redistribute it.
2022-11-23T01:59:40.8045804Z There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
2022-11-23T01:59:40.8046048Z and "show warranty" for details.
2022-11-23T01:59:40.8046344Z This GDB was configured as "x86_64-linux-gnu".
2022-11-23T01:59:40.8046600Z Type "show configuration" for configuration details.
2022-11-23T01:59:40.8046859Z For bug reporting instructions, please see:
2022-11-23T01:59:40.8047089Z <http://www.gnu.org/software/gdb/bugs/>.
2022-11-23T01:59:40.8047356Z Find the GDB manual and other documentation resources online at:
2022-11-23T01:59:40.8047633Z <http://www.gnu.org/software/gdb/documentation/>.
2022-11-23T01:59:40.8048041Z For help, type "help".
2022-11-23T01:59:40.8048282Z Type "apropos word" to search for commands related to "word"...
2022-11-23T01:59:40.8915617Z Reading symbols from python...done.
2022-11-23T01:59:41.2746235Z 
2022-11-23T01:59:41.2746733Z warning: core file may not match specified executable file.
2022-11-23T01:59:41.3650715Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:41.3651345Z BFD: warning: /opt/conda/lib/libgomp.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:41.3651973Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:41.3652581Z BFD: warning: /opt/conda/bin/../lib/libstdc++.so.6: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:41.3653006Z [New LWP 9420]
2022-11-23T01:59:41.3653315Z [New LWP 9435]
2022-11-23T01:59:41.3653796Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:41.3654458Z BFD: warning: /opt/conda/bin/../lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:41.3654881Z [New LWP 9430]
2022-11-23T01:59:41.3655199Z [New LWP 9425]
2022-11-23T01:59:41.3655496Z [New LWP 9427]
2022-11-23T01:59:41.3655776Z [New LWP 9432]
2022-11-23T01:59:41.3656072Z [New LWP 9436]
2022-11-23T01:59:41.3656375Z [New LWP 9437]
2022-11-23T01:59:41.3665492Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001
2022-11-23T01:59:41.3666542Z BFD: warning: /opt/conda/lib/python3.10/site-packages/numpy/core/../../../.././libquadmath.so.0: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002
2022-11-23T01:59:41.5909989Z [Thread debugging using libthread_db enabled]
2022-11-23T01:59:41.5910903Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
2022-11-23T01:59:48.2415045Z 51	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
2022-11-23T01:59:48.2415821Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load".
2022-11-23T01:59:48.2416353Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'.
2022-11-23T01:59:48.2416851Z Program terminated with signal SIGSEGV, Segmentation fault.
2022-11-23T01:59:48.2417154Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T01:59:48.2417414Z [Current thread is 1 (Thread 0x7f32d1195240 (LWP 9420))]
2022-11-23T01:59:48.2446750Z To enable execution of this file add
2022-11-23T01:59:48.2447358Z 	add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit
2022-11-23T01:59:48.2447781Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T01:59:48.2448045Z To completely disable this security protection add
2022-11-23T01:59:48.2448310Z 	set auto-load safe-path /
2022-11-23T01:59:48.2448540Z line to your configuration file "/var/lib/jenkins/.gdbinit".
2022-11-23T01:59:48.2448815Z For more information about this security protection see the
2022-11-23T01:59:48.2449172Z "Auto-loading safe path" section in the GDB manual.  E.g., run from the shell:
2022-11-23T01:59:48.2449473Z 	info "(gdb)Auto-loading safe path"
2022-11-23T01:59:48.2490821Z #0  raise (sig=<optimized out>) at ../sysdeps/unix/sysv/linux/raise.c:51
2022-11-23T01:59:48.2492679Z #1  0x00007f329984fcbb in handler_SIGSEGV(int, siginfo_t*, void*) ()
2022-11-23T01:59:48.2493157Z    from /opt/conda/lib/python3.10/site-packages/torch/lib/libtorch_python.so
2022-11-23T01:59:48.2590856Z #2  <signal handler called>
2022-11-23T01:59:48.2591385Z #3  0x00007f32cfc4f6f0 in string_at (ptr=0x0, size=-1)
2022-11-23T01:59:48.2591896Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:5564
2022-11-23T01:59:48.2592750Z #4  0x00007f32d104a9dd in ffi_call_unix64 ()
2022-11-23T01:59:48.2593297Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T01:59:48.2600221Z #5  0x00007f32d104a067 in ffi_call_int ()
2022-11-23T01:59:48.2600804Z    from /opt/conda/lib/python3.10/lib-dynload/../../libffi.so.7
2022-11-23T01:59:48.2604562Z #6  0x00007f32cfc5ba25 in _call_function_pointer (
2022-11-23T01:59:48.2605091Z     argtypecount=<optimized out>, argcount=2, resmem=0x7ffe9b76c3c0, 
2022-11-23T01:59:48.2605512Z     restype=<optimized out>, atypes=<optimized out>, avalues=<optimized out>, 
2022-11-23T01:59:48.2605788Z     pProc=0x7f32cfc4f6b5 <string_at>, flags=4357)
2022-11-23T01:59:48.2606127Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:916
2022-11-23T01:59:48.2606367Z #7  _ctypes_callproc ()
2022-11-23T01:59:48.2606746Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/callproc.c:1259
2022-11-23T01:59:48.2607026Z #8  0x00007f32cfc5849f in PyCFuncPtr_call (self=<optimized out>, 
2022-11-23T01:59:48.2607282Z     inargs=<optimized out>, kwds=<optimized out>)
2022-11-23T01:59:48.2607614Z     at /usr/local/src/conda/python-3.10.4/Modules/_ctypes/_ctypes.c:4201
2022-11-23T01:59:48.2608568Z #9  0x000055bdb03c652e in _PyObject_MakeTpCall.localalias.3 ()
2022-11-23T01:59:48.2608934Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:215
2022-11-23T01:59:48.2615052Z #10 0x000055bdb046544b in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:48.2615366Z     nargsf=<optimized out>, args=0x7f322a5541b8, callable=<optimized out>, 
2022-11-23T01:59:48.2615636Z     tstate=<optimized out>)
2022-11-23T01:59:48.2615990Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:112
2022-11-23T01:59:48.2616259Z #11 PyObject_Vectorcall ()
2022-11-23T01:59:48.2616745Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:48.2618842Z #12 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:48.2619207Z     pp_stack=<synthetic pointer>, trace_info=0x7ffe9b76c6e0, 
2022-11-23T01:59:48.2619443Z     tstate=<optimized out>)
2022-11-23T01:59:48.2619769Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:48.2620079Z #13 _PyEval_EvalFrameDefault ()
2022-11-23T01:59:48.2620490Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:48.2620838Z #14 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2621187Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2621443Z #15 _PyEval_Vector ()
2022-11-23T01:59:48.2626522Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2626825Z #16 0x000055bdb03892a5 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:48.2627121Z     nargsf=<optimized out>, args=0x7f322a8bff80, callable=0x7f32cfecb760, 
2022-11-23T01:59:48.2627368Z     tstate=<optimized out>)
2022-11-23T01:59:48.2627713Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:48.2627970Z #17 PyObject_Vectorcall ()
2022-11-23T01:59:48.2628316Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:48.2629823Z #18 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:48.2630152Z     pp_stack=<synthetic pointer>, trace_info=0x7ffe9b76c910, 
2022-11-23T01:59:48.2630500Z     tstate=<optimized out>)
2022-11-23T01:59:48.2630873Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:48.2631301Z #19 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:48.2631589Z     throwflag=<optimized out>)
2022-11-23T01:59:48.2631935Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4181
2022-11-23T01:59:48.2632894Z #20 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2633297Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2633678Z #21 _PyEval_Vector ()
2022-11-23T01:59:48.2634002Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2641565Z #22 0x000055bdb041ced5 in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=2, 
2022-11-23T01:59:48.2642105Z     args=0x7ffe9b76caa0, callable=0x7f322a6e4820, tstate=0x55bdb0bb8bf0)
2022-11-23T01:59:48.2642616Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:48.2642875Z #23 vectorcall_unbound ()
2022-11-23T01:59:48.2643328Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1627
2022-11-23T01:59:48.2643763Z #24 vectorcall_method (nargs=2, args=0x7ffe9b76caa0, name=0x55bdb06309e0 <id>)
2022-11-23T01:59:48.2644194Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:1659
2022-11-23T01:59:48.2644454Z #25 slot_mp_subscript ()
2022-11-23T01:59:48.2644771Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/typeobject.c:7253
2022-11-23T01:59:48.2645764Z #26 0x000055bdb043e656 in PyObject_GetItem.localalias.27 ()
2022-11-23T01:59:48.2646449Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/abstract.c:158
2022-11-23T01:59:48.2648213Z #27 0x000055bdb0465d8a in _PyEval_EvalFrameDefault ()
2022-11-23T01:59:48.2648833Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:2109
2022-11-23T01:59:48.2650166Z #28 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2650842Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2651211Z #29 _PyEval_Vector ()
2022-11-23T01:59:48.2651528Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2656831Z #30 0x000055bdb0388425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:48.2657370Z     nargsf=<optimized out>, args=0x7f322a6d9cc8, callable=0x7f322adc16c0, 
2022-11-23T01:59:48.2657616Z     tstate=<optimized out>)
2022-11-23T01:59:48.2658052Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:48.2658328Z #31 PyObject_Vectorcall ()
2022-11-23T01:59:48.2658731Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:48.2659309Z #32 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:48.2659800Z     pp_stack=<synthetic pointer>, trace_info=0x7ffe9b76ce00, 
2022-11-23T01:59:48.2660187Z     tstate=<optimized out>)
2022-11-23T01:59:48.2660508Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:48.2661052Z #33 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:48.2661545Z     throwflag=<optimized out>)
2022-11-23T01:59:48.2662078Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:48.2662557Z #34 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2663079Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2663346Z #35 _PyEval_Vector ()
2022-11-23T01:59:48.2663672Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2668581Z #36 0x000055bdb03889f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:48.2668888Z     nargsf=<optimized out>, args=0x55bdb5c041a8, callable=0x7f322c886950, 
2022-11-23T01:59:48.2669137Z     tstate=<optimized out>)
2022-11-23T01:59:48.2669498Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:48.2669749Z #37 PyObject_Vectorcall ()
2022-11-23T01:59:48.2670091Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:48.2671615Z #38 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:48.2671938Z     pp_stack=<synthetic pointer>, trace_info=0x7ffe9b76d030, 
2022-11-23T01:59:48.2672259Z     tstate=<optimized out>)
2022-11-23T01:59:48.2672863Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:48.2673190Z #39 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:48.2673491Z     throwflag=<optimized out>)
2022-11-23T01:59:48.2673883Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:48.2674515Z #40 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2674949Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2675218Z #41 _PyEval_Vector ()
2022-11-23T01:59:48.2675538Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2680617Z #42 0x000055bdb03cbfaa in PyVectorcall_Call (kwargs=<optimized out>, 
2022-11-23T01:59:48.2680969Z     tuple=0x7f322a89b920, callable=0x7f322c885c60)
2022-11-23T01:59:48.2681331Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:255
2022-11-23T01:59:48.2681599Z #43 _PyObject_Call.localalias.1 ()
2022-11-23T01:59:48.2681916Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:290
2022-11-23T01:59:48.2687088Z #44 0x000055bdb0467774 in PyObject_Call (kwargs=0x7f32d00167c0, 
2022-11-23T01:59:48.2687402Z     args=0x7f322a89b920, callable=0x7f322c885c60)
2022-11-23T01:59:48.2687764Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Objects/call.c:317
2022-11-23T01:59:48.2691967Z #45 do_call_core (kwdict=0x7f32d00167c0, callargs=0x7f322a89b920, 
2022-11-23T01:59:48.2692308Z     func=0x7f322c885c60, trace_info=0x7ffe9b76d2c0, tstate=<optimized out>)
2022-11-23T01:59:48.2692813Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5919
2022-11-23T01:59:48.2693129Z #46 _PyEval_EvalFrameDefault ()
2022-11-23T01:59:48.2693449Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4277
2022-11-23T01:59:48.2693800Z #47 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2694167Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2694413Z #48 _PyEval_Vector ()
2022-11-23T01:59:48.2694730Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2701119Z #49 0x000055bdb03889f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:48.2701539Z     nargsf=<optimized out>, args=0x55bdb5c05498, callable=0x7f32d0041630, 
2022-11-23T01:59:48.2701772Z     tstate=<optimized out>)
2022-11-23T01:59:48.2702134Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:48.2702410Z #50 PyObject_Vectorcall ()
2022-11-23T01:59:48.2702737Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:48.2703745Z #51 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:48.2704140Z     pp_stack=<synthetic pointer>, trace_info=0x7ffe9b76d4f0, 
2022-11-23T01:59:48.2704452Z     tstate=<optimized out>)
2022-11-23T01:59:48.2704862Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:48.2705657Z #52 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:48.2706145Z     throwflag=<optimized out>)
2022-11-23T01:59:48.2706721Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:48.2707212Z #53 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2707606Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2707867Z #54 _PyEval_Vector ()
2022-11-23T01:59:48.2708185Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2712602Z #55 0x000055bdb03889f3 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:48.2713128Z     nargsf=<optimized out>, args=0x55bdb0c55d00, callable=0x7f32d0041fc0, 
2022-11-23T01:59:48.2713500Z     tstate=<optimized out>)
2022-11-23T01:59:48.2713976Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:48.2714242Z #56 PyObject_Vectorcall ()
2022-11-23T01:59:48.2714700Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:48.2715777Z #57 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:48.2716143Z     pp_stack=<synthetic pointer>, trace_info=0x7ffe9b76d720, 
2022-11-23T01:59:48.2716383Z     tstate=<optimized out>)
2022-11-23T01:59:48.2716757Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:48.2717096Z #58 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:48.2717420Z     throwflag=<optimized out>)
2022-11-23T01:59:48.2717794Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4198
2022-11-23T01:59:48.2718224Z #59 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2718718Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2718990Z #60 _PyEval_Vector ()
2022-11-23T01:59:48.2719314Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2724920Z #61 0x000055bdb0388425 in _PyObject_VectorcallTstate (kwnames=0x0, 
2022-11-23T01:59:48.2725280Z     nargsf=<optimized out>, args=0x7f32d0190200, callable=0x7f32cfebad40, 
2022-11-23T01:59:48.2725524Z     tstate=<optimized out>)
2022-11-23T01:59:48.2725879Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:48.2726132Z #62 PyObject_Vectorcall ()
2022-11-23T01:59:48.2726475Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:48.2727992Z #63 call_function (kwnames=0x0, oparg=<optimized out>, 
2022-11-23T01:59:48.2728326Z     pp_stack=<synthetic pointer>, trace_info=0x7ffe9b76d950, 
2022-11-23T01:59:48.2728633Z     tstate=<optimized out>)
2022-11-23T01:59:48.2729024Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:48.2729695Z #64 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:48.2730091Z     throwflag=<optimized out>)
2022-11-23T01:59:48.2730488Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4213
2022-11-23T01:59:48.2731016Z #65 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2731491Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2731781Z #66 _PyEval_Vector ()
2022-11-23T01:59:48.2732090Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2736182Z #67 0x000055bdb03890b5 in _PyObject_VectorcallTstate (kwnames=0x7f32d0187f00, 
2022-11-23T01:59:48.2736914Z     nargsf=<optimized out>, args=<optimized out>, callable=0x7f32cfebacb0, 
2022-11-23T01:59:48.2737219Z     tstate=<optimized out>)
2022-11-23T01:59:48.2737614Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:114
2022-11-23T01:59:48.2737885Z #68 PyObject_Vectorcall ()
2022-11-23T01:59:48.2738397Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/cpython/abstract.h:123
2022-11-23T01:59:48.2738955Z #69 call_function (kwnames=0x7f32d0187f00, oparg=<optimized out>, 
2022-11-23T01:59:48.2739274Z     pp_stack=<synthetic pointer>, trace_info=0x7ffe9b76db80, 
2022-11-23T01:59:48.2739509Z     tstate=<optimized out>)
2022-11-23T01:59:48.2739955Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5867
2022-11-23T01:59:48.2740470Z #70 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=<optimized out>, 
2022-11-23T01:59:48.2740937Z     throwflag=<optimized out>)
2022-11-23T01:59:48.2741351Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:4231
2022-11-23T01:59:48.2741725Z #71 0x000055bdb0413742 in _PyEval_EvalFrame ()
2022-11-23T01:59:48.2742564Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Include/internal/pycore_ceval.h:46
2022-11-23T01:59:48.2742849Z #72 _PyEval_Vector ()
2022-11-23T01:59:48.2743201Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:5065
2022-11-23T01:59:48.2747894Z #73 0x000055bdb0422578 in PyEval_EvalCode (co=0x7f32d0128920, 
2022-11-23T01:59:48.2748337Z     globals=0x7f32d011a440, locals=<optimized out>)
2022-11-23T01:59:48.2748889Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/ceval.c:1134
2022-11-23T01:59:48.2750807Z #74 0x000055bdb04d88fb in run_eval_code_obj ()
2022-11-23T01:59:48.2751468Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1291
2022-11-23T01:59:48.2754365Z #75 0x000055bdb05113a5 in run_mod ()
2022-11-23T01:59:48.2755077Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1312
2022-11-23T01:59:48.2757907Z #76 0x000055bdb05161ca in PyRun_StringFlags.localalias.3 ()
2022-11-23T01:59:48.2758606Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:1183
2022-11-23T01:59:48.2761245Z #77 0x000055bdb051622c in PyRun_SimpleStringFlags.localalias.9 ()
2022-11-23T01:59:48.2761936Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Python/pythonrun.c:503
2022-11-23T01:59:48.2764639Z #78 0x000055bdb05166cd in pymain_run_command (command=<optimized out>)
2022-11-23T01:59:48.2765307Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:252
2022-11-23T01:59:48.2767197Z #79 pymain_run_python (exitcode=0x7ffe9b76de50)
2022-11-23T01:59:48.2767808Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:582
2022-11-23T01:59:48.2768180Z #80 Py_RunMain.localalias.0 ()
2022-11-23T01:59:48.2768514Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:670
2022-11-23T01:59:48.2769945Z #81 0x000055bdb05167d9 in Py_BytesMain ()
2022-11-23T01:59:48.2770561Z     at /opt/conda/conda-bld/python-split_1648715631366/work/Modules/main.c:1083
2022-11-23T01:59:48.2789624Z #82 0x00007f32d01f9c87 in __libc_start_main (main=0x55bdb03a9650 <main>, 
2022-11-23T01:59:48.2790136Z     argc=5, argv=0x7ffe9b76e058, init=<optimized out>, fini=<optimized out>, 
2022-11-23T01:59:48.2790572Z     rtld_fini=<optimized out>, stack_end=0x7ffe9b76e048)
2022-11-23T01:59:48.2790850Z     at ../csu/libc-start.c:310
2022-11-23T01:59:48.2792239Z #83 0x000055bdb04965d4 in _start ()
2022-11-23T01:59:48.9391790Z ##[group]Run set -x
2022-11-23T01:59:48.9391979Z set -x
2022-11-23T01:59:48.9392198Z python3 -m pip install -r requirements.txt
2022-11-23T01:59:48.9392446Z python3 -m pip install boto3==1.19.12
2022-11-23T01:59:48.9392726Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-11-23T01:59:48.9403871Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:59:48.9404089Z env:
2022-11-23T01:59:48.9404253Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:59:48.9404537Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T01:59:48.9404824Z   AWS_DEFAULT_REGION: us-east-1
2022-11-23T01:59:48.9405010Z   BRANCH: master
2022-11-23T01:59:48.9405179Z   TEST_CONFIG: nogpu_NO_AVX2
2022-11-23T01:59:48.9405362Z   SHARD_NUMBER: 1
2022-11-23T01:59:48.9405595Z   BUILD_ENVIRONMENT: linux-bionic-cuda11.7-py3.10-gcc7
2022-11-23T01:59:48.9405810Z   PR_NUMBER: 
2022-11-23T01:59:48.9406017Z   PYTORCH_RETRY_TEST_CASES: 1
2022-11-23T01:59:48.9406226Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2022-11-23T01:59:48.9406446Z   SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:59:48.9406623Z   TAG: 
2022-11-23T01:59:48.9406785Z   WORKFLOW_ID: 3528293554
2022-11-23T01:59:48.9407103Z   GITHUB_TOKEN: ***
2022-11-23T01:59:48.9407295Z   GHA_WORKFLOW_JOB_ID: 9655198984
2022-11-23T01:59:48.9407466Z ##[endgroup]
2022-11-23T01:59:48.9431587Z + python3 -m pip install -r requirements.txt
2022-11-23T01:59:49.1516132Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:59:49.1794541Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3)
2022-11-23T01:59:49.1821653Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.4)
2022-11-23T01:59:49.1829487Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2)
2022-11-23T01:59:49.1837585Z Requirement already satisfied: hypothesis in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (6.58.0)
2022-11-23T01:59:49.2200665Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (1.21.6)
2022-11-23T01:59:49.2209216Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (5.9.1)
2022-11-23T01:59:49.2284663Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (6.0)
2022-11-23T01:59:49.2292156Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (2.26.0)
2022-11-23T01:59:49.2505639Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (49.1.3)
2022-11-23T01:59:49.2671864Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (1.16.0)
2022-11-23T01:59:49.2680129Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.6.6)
2022-11-23T01:59:49.2685540Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (4.4.0)
2022-11-23T01:59:49.2694975Z Requirement already satisfied: sympy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (1.10.1)
2022-11-23T01:59:49.2713262Z Requirement already satisfied: filelock in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 15)) (3.8.0)
2022-11-23T01:59:49.2783409Z Requirement already satisfied: networkx in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 16)) (2.6.3)
2022-11-23T01:59:49.2940938Z Requirement already satisfied: jinja2 in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 17)) (3.1.2)
2022-11-23T01:59:49.2963500Z Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from astunparse->-r requirements.txt (line 2)) (0.38.4)
2022-11-23T01:59:49.2980736Z Requirement already satisfied: attrs>=19.2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (22.1.0)
2022-11-23T01:59:49.3228065Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (2.4.0)
2022-11-23T01:59:49.3238000Z Requirement already satisfied: exceptiongroup>=1.0.0; python_version < "3.11" in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (1.0.4)
2022-11-23T01:59:49.3254119Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2022.9.24)
2022-11-23T01:59:49.3262600Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (1.26.12)
2022-11-23T01:59:49.3416163Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2.0.12)
2022-11-23T01:59:49.3435008Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (3.4)
2022-11-23T01:59:49.3445861Z Requirement already satisfied: mpmath>=0.19 in /home/ec2-user/.local/lib/python3.7/site-packages (from sympy->-r requirements.txt (line 14)) (1.2.1)
2022-11-23T01:59:49.3499383Z Requirement already satisfied: MarkupSafe>=2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from jinja2->-r requirements.txt (line 17)) (2.1.1)
2022-11-23T01:59:49.4087737Z + python3 -m pip install boto3==1.19.12
2022-11-23T01:59:49.6143229Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:59:49.6325048Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12)
2022-11-23T01:59:49.6374697Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12)
2022-11-23T01:59:49.6417453Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2)
2022-11-23T01:59:49.6451437Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0)
2022-11-23T01:59:49.6464649Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2)
2022-11-23T01:59:49.6485305Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.12)
2022-11-23T01:59:49.6637759Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0)
2022-11-23T01:59:49.8451364Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-11-23T02:00:16.6891897Z [scribe] Scribe access token not provided, sending report via boto3...
2022-11-23T02:00:16.6892130Z 
2022-11-23T02:00:16.6893221Z ----- Historic stats comparison result ------
2022-11-23T02:00:16.6893374Z 
2022-11-23T02:00:16.6893566Z     job: linux-bionic-cuda11.7-py3.10-gcc7
2022-11-23T02:00:16.6894515Z     commit: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T02:00:16.6895114Z 
2022-11-23T02:00:16.6895350Z Commit graph (base is most recent master ancestor with at least one S3 report):
2022-11-23T02:00:16.6895545Z 
2022-11-23T02:00:16.6895615Z     : (master)
2022-11-23T02:00:16.6895775Z     |
2022-11-23T02:00:16.6895971Z     * 1cfd3858ac (HEAD)              total time  2667.15s
2022-11-23T02:00:16.6896320Z     * 26322544b8 (base)   7 reports, total time  4228.23s ± 2489.03s
2022-11-23T02:00:16.6896859Z     * 7f4b4d2827          7 reports, total time  4202.13s ± 2420.90s
2022-11-23T02:00:16.6897169Z     * b50699f247         12 reports, total time  4288.73s ± 2064.30s
2022-11-23T02:00:16.6897480Z     * 8bf8e4d71e         13 reports, total time  4176.50s ± 2000.30s
2022-11-23T02:00:16.6897793Z     * ce856cee7e         12 reports, total time  3997.88s ± 1945.32s
2022-11-23T02:00:16.6899140Z     * 391b593ca2         13 reports, total time  4190.46s ± 2006.12s
2022-11-23T02:00:16.6899456Z     * 5bba783d21         13 reports, total time  4212.68s ± 2027.67s
2022-11-23T02:00:16.6899760Z     * ea920a1115         13 reports, total time  4210.45s ± 1980.15s
2022-11-23T02:00:16.6900070Z     * 74e62a1fef         13 reports, total time  4199.06s ± 2006.95s
2022-11-23T02:00:16.6900382Z     * 00b7d8ef23         13 reports, total time  4196.42s ± 2038.18s
2022-11-23T02:00:16.6900567Z     |
2022-11-23T02:00:16.6900714Z     :
2022-11-23T02:00:16.6900805Z 
2022-11-23T02:00:16.6900921Z Removed  (across  172 suites)     0 tests, totaling     0.00s
2022-11-23T02:00:16.6901168Z Modified (across    0 suites)     0 tests, totaling     0.00s
2022-11-23T02:00:16.6901423Z Added    (across  669 suites) 17833 tests, totaling +2667.15s
2022-11-23T02:00:16.7676725Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2022-11-23T02:00:16.7676968Z with:
2022-11-23T02:00:16.7677110Z env:
2022-11-23T02:00:16.7677285Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:16.7677566Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T02:00:16.7677817Z ##[endgroup]
2022-11-23T02:00:16.7690844Z ##[group]Run set -eou pipefail
2022-11-23T02:00:16.7691065Z set -eou pipefail
2022-11-23T02:00:16.7691247Z 
2022-11-23T02:00:16.7691487Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2022-11-23T02:00:16.7691729Z for _ in $(seq 1440); do
2022-11-23T02:00:16.7691944Z     # Break if no ssh session exists anymore
2022-11-23T02:00:16.7692158Z     if [ "$(who)" = "" ]; then
2022-11-23T02:00:16.7692325Z       break
2022-11-23T02:00:16.7692490Z     fi
2022-11-23T02:00:16.7692692Z     echo "."
2022-11-23T02:00:16.7692855Z     sleep 5
2022-11-23T02:00:16.7693021Z done
2022-11-23T02:00:16.7704464Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:00:16.7704684Z env:
2022-11-23T02:00:16.7704860Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:16.7705130Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T02:00:16.7705399Z ##[endgroup]
2022-11-23T02:00:16.7729522Z Holding runner for 2 hours until all ssh sessions have logged out
2022-11-23T02:00:16.7793289Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2022-11-23T02:00:16.7793606Z # ignore expansion of "docker ps -q" since it could be empty
2022-11-23T02:00:16.7793858Z # shellcheck disable=SC2046
2022-11-23T02:00:16.7794087Z docker stop $(docker ps -q) || true
2022-11-23T02:00:16.7794304Z # Prune all of the docker images
2022-11-23T02:00:16.7794631Z docker system prune -af
2022-11-23T02:00:16.7804600Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:00:16.7804811Z env:
2022-11-23T02:00:16.7804989Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:00:16.7805271Z   DOCKER_CONTAINER_ID: eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T02:00:16.7805522Z ##[endgroup]
2022-11-23T02:00:17.1308228Z eae2a230166e
2022-11-23T02:00:19.3376687Z Deleted Containers:
2022-11-23T02:00:19.3376996Z eae2a230166ebd7ec6c9aa68c297abc79ee359886cb204801e30263376d69e35
2022-11-23T02:00:24.8774842Z 
2022-11-23T02:00:24.8775230Z Deleted Images:
2022-11-23T02:00:24.8776078Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T02:00:24.8777406Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-bionic-cuda11.7-cudnn8-py3-gcc7@sha256:a44ece0129de4f14f08fcb1423a34c97f2f88e2969bfc5ad6f33b15b4dfcfea3
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2022-11-23T02:00:24.8806690Z 
2022-11-23T02:00:24.8806789Z Total reclaimed space: 21.21GB
2022-11-23T02:00:24.8867966Z Post job cleanup.
2022-11-23T02:00:24.8904502Z Post job cleanup.
2022-11-23T02:00:24.9947556Z [command]/usr/bin/git version
2022-11-23T02:00:24.9990634Z git version 2.37.1
2022-11-23T02:00:25.0027511Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/97ba7330-2cb1-44ad-8792-81f2d661e8d7' before making global git config changes
2022-11-23T02:00:25.0027938Z Adding repository directory to the temporary git global config as a safe directory
2022-11-23T02:00:25.0031854Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T02:00:25.0078797Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-11-23T02:00:25.0108908Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-11-23T02:00:25.0469691Z Entering 'android/libs/fbjni'
2022-11-23T02:00:25.0518860Z Entering 'third_party/FP16'
2022-11-23T02:00:25.0560540Z Entering 'third_party/FXdiv'
2022-11-23T02:00:25.0601469Z Entering 'third_party/NNPACK'
2022-11-23T02:00:25.0655310Z Entering 'third_party/QNNPACK'
2022-11-23T02:00:25.0700029Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T02:00:25.0734231Z Entering 'third_party/XNNPACK'
2022-11-23T02:00:25.0844246Z Entering 'third_party/benchmark'
2022-11-23T02:00:25.0889990Z Entering 'third_party/cpuinfo'
2022-11-23T02:00:25.0935175Z Entering 'third_party/cub'
2022-11-23T02:00:25.0979118Z Entering 'third_party/cudnn_frontend'
2022-11-23T02:00:25.1017628Z Entering 'third_party/cutlass'
2022-11-23T02:00:25.1056268Z Entering 'third_party/eigen'
2022-11-23T02:00:25.1117995Z Entering 'third_party/fbgemm'
2022-11-23T02:00:25.1170423Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T02:00:25.1221572Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T02:00:25.1270197Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T02:00:25.1323478Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T02:00:25.1366548Z Entering 'third_party/flatbuffers'
2022-11-23T02:00:25.1402008Z Entering 'third_party/fmt'
2022-11-23T02:00:25.1446076Z Entering 'third_party/foxi'
2022-11-23T02:00:25.1489610Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T02:00:25.1533397Z Entering 'third_party/gloo'
2022-11-23T02:00:25.1579153Z Entering 'third_party/googletest'
2022-11-23T02:00:25.1622471Z Entering 'third_party/ideep'
2022-11-23T02:00:25.1676863Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T02:00:25.1749779Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T02:00:25.1824746Z Entering 'third_party/ios-cmake'
2022-11-23T02:00:25.1870128Z Entering 'third_party/ittapi'
2022-11-23T02:00:25.1904195Z Entering 'third_party/kineto'
2022-11-23T02:00:25.1937862Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T02:00:25.1970627Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T02:00:25.2005436Z Entering 'third_party/nccl/nccl'
2022-11-23T02:00:25.2052328Z Entering 'third_party/neon2sse'
2022-11-23T02:00:25.2094756Z Entering 'third_party/nlohmann'
2022-11-23T02:00:25.2129119Z Entering 'third_party/onnx'
2022-11-23T02:00:25.2235749Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T02:00:25.2302535Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T02:00:25.2348120Z Entering 'third_party/onnx-tensorrt'
2022-11-23T02:00:25.2414519Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T02:00:25.2525233Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T02:00:25.2585220Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T02:00:25.2643228Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T02:00:25.2690887Z Entering 'third_party/pocketfft'
2022-11-23T02:00:25.2724184Z Entering 'third_party/protobuf'
2022-11-23T02:00:25.2806979Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T02:00:25.2865444Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T02:00:25.2914775Z Entering 'third_party/psimd'
2022-11-23T02:00:25.2956725Z Entering 'third_party/pthreadpool'
2022-11-23T02:00:25.3003573Z Entering 'third_party/pybind11'
2022-11-23T02:00:25.3049873Z Entering 'third_party/python-enum'
2022-11-23T02:00:25.3099000Z Entering 'third_party/python-peachpy'
2022-11-23T02:00:25.3141338Z Entering 'third_party/python-six'
2022-11-23T02:00:25.3184385Z Entering 'third_party/sleef'
2022-11-23T02:00:25.3227239Z Entering 'third_party/tbb'
2022-11-23T02:00:25.3262593Z Entering 'third_party/tensorpipe'
2022-11-23T02:00:25.3316611Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T02:00:25.3379610Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T02:00:25.3430967Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T02:00:25.3484926Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T02:00:25.3539657Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T02:00:25.3587784Z Entering 'third_party/zstd'
2022-11-23T02:00:25.3646397Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-11-23T02:00:25.3671701Z http.https://github.com/.extraheader
2022-11-23T02:00:25.3679705Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2022-11-23T02:00:25.3711310Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-11-23T02:00:25.3964794Z Entering 'android/libs/fbjni'
2022-11-23T02:00:25.3984527Z http.https://github.com/.extraheader
2022-11-23T02:00:25.4011549Z Entering 'third_party/FP16'
2022-11-23T02:00:25.4031696Z http.https://github.com/.extraheader
2022-11-23T02:00:25.4059240Z Entering 'third_party/FXdiv'
2022-11-23T02:00:25.4078829Z http.https://github.com/.extraheader
2022-11-23T02:00:25.4105723Z Entering 'third_party/NNPACK'
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